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diff --git a/ChangeLog b/ChangeLog
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+2018-06-20 Andy Buckley <andy.buckley@cern.ch>
+
+ * Add FinalState(fs, cut) augmenting constructor, and PrevFS projection machinery. Validated for a abscharge > 0 cut.
+
+ * Add hasProjection() methods to ProjectionHandler and ProjectionApplier.
+
+ * Clone MC_GENERIC as MC_FSPARTICLES and deprecate the badly-named original.
+
+ * Fix Spires -> Inspire ID for CMS_2017_I1518399.
+
+2018-06-04 Andy Buckley <andy.buckley@cern.ch>
+
+ * Fix installation of (In)DirectFinalState.hh
+
+2018-05-31 Andy Buckley <andy.buckley@cern.ch>
+
+ * Add init-time setting of a single weight-vector index from the
+ RIVET_WEIGHT_INDEX environment variable. To be removed in v3, but
+ really we should have done this years ago... and we don't know how
+ long the handover will be.
+
+2018-05-22 Neil Warrack <neil.warrack@cern.ch>
+
+ * Include 'unphysical' photon parents in PartonicTops' veto of prompt leptons from photon conversions.
+
2018-05-20 Andy Buckley <andy.buckley@cern.ch>
* Make Particles and Jets into actual specialisations of
std::vector rather than typedefs, and update surrounding classes
to use them. The specialisations can implicitly cast to vectors of
FourMomentum (and maybe Pseudojet).
2018-05-18 Andy Buckley <andy.buckley@cern.ch>
* Make CmpAnaHandle::operator() const, for GCC 8 (thanks to CMS)
2018-05-07 Andy Buckley <andy.buckley@cern.ch>
* CMS_2016_I1421646.cc: Add patch from CMS to veto if leading jets
outside |y| < 2.5, rather than only considering jets in that
acceptance. Thanks to CMS and Markus Seidel.
2018-04-27 Andy Buckley <andy.buckley@cern.ch>
* Tidy keywords and luminosity entries, and add both to BSM search .info files.
* Add Luminosity_fb and Keywords placeholders in mkanalysis output.
2018-04-26 Andy Buckley <andy.buckley@cern.ch>
* Add pairMass and pairPt functions.
* Add (i)discardIfAnyDeltaRLess and (i)discardIfAnyDeltaPhiLess functions.
* Add normalize() methods to Cutflow and Cutflows.
* Add DirectFinalState and IndirectFinalState alias headers, for forward compatibility. 'Prompt' is confusing.
2018-04-24 Andy Buckley <andy.buckley@cern.ch>
* Add initializer_list overload for binIndex. Needed for other util functions operating on vectors.
* Fix function signature bug is isMT2 overload.
* Add isSameSign, isOppSign, isSameFlav, isOppFlav, and isOSSF etc. functions on PIDs and Particles.
2018-03-27 Andy Buckley <andy.buckley@cern.ch>
* Add RatioPlotLogY key to make-plots. Thanks to Antonin Maire.
2018-02-22 Andy Buckley <andy.buckley@cern.ch>
* Adding boolean operator syntactic sugar for composition of bool functors.
* Copy & paste error fixes in implementation of BoolJetAND,OR,NOT.
2018-02-01 Andy Buckley <andy.buckley@cern.ch>
* Make the project() and compare() methods of projections public.
* Fix a serious bug in the SmearedParticles and SmearedJets compare methods.
* Add string representations and streamability to the Cut objects, for debugging.
2018-01-08 Andy Buckley <andy.buckley@cern.ch>
* Add highlighted source to HTML analysis metadata listings.
2017-12-21 Andy Buckley <andy.buckley@cern.ch>
* Version 2.6.0 release.
2017-12-20 Andy Buckley <andy.buckley@cern.ch>
* Typo fix in TOTEM_2012_I1220862 data -- thanks to Anton Karneyeu.
2017-12-19 Andy Buckley <andy.buckley@cern.ch>
* Adding contributed analyses: 1 ALICE, 6 ATLAS, 1 CMS.
* Fix bugged PID codes in MC_PRINTEVENT.
2017-12-13 Andy Buckley <andy.buckley@cern.ch>
* Protect Run methods and rivet script against being told to run from a missing or unreadable file.
2017-12-11 Andy Buckley <andy.buckley@cern.ch>
* Replace manual event count & weight handling with a YODA Counter object.
2017-11-28 Andy Buckley <andy.buckley@cern.ch>
* Providing neater & more YODA-consistent sumW and sumW2 methods on AnalysisHandler and Analysis.
* Fix to Python version check for >= 2.7.10 (patch submitted to GNU)
2017-11-17 Andy Buckley <andy.buckley@cern.ch>
* Various improvements to DISKinematics, DISLepton, and the ZEUS 2001 analysis.
2017-11-06 Andy Buckley <andy.buckley@cern.ch>
* Extend AOPath regex to allow dots and underscores in weight names.
2017-10-27 Andy Buckley <andy.buckley@cern.ch>
* Add energy to the list of cuts (both as Cuts::E and Cuts::energy)
* Add missing pT (rather than Et) functions to SmearedMET,
although they are just copies of the MET functions for now.
2017-10-26 Chris Pollard <cspollard@gmail.com>
* update the way crossSection() works; remove
setNeedsCrossSection()
2017-10-09 Andy Buckley <andy.buckley@cern.ch>
* Embed zstr and enable transparent reading of gzipped HepMC streams.
2017-10-03 Andy Buckley <andy.buckley@cern.ch>
* Use Lester MT2 bisection header, and expose a few more mT2 function signatures.
2017-09-26 Andy Buckley <andy.buckley@cern.ch>
* Use generic YODA read and write functions -- enables zipped yoda.gz output.
* Add ChargedLeptons enum and mode argument to ZFinder and WFinder
constructors, to allow control over whether the selected charged
leptons are prompt. This is mostly cosmetic/for symmetry in the
case of ZFinder, since the same can be achieved by passing a
PromptFinalState as the fs argument, but for WFinder it's
essential since passing a prompt final state screws up the MET
calculation. Both are slightly different in the treatment of the
lepton dressing, although conventionally this is an area where
only prompt photons are used.
2017-09-25 Andy Buckley <andy.buckley@cern.ch>
* Add deltaR2 functions for squared distances.
2017-09-10 Andy Buckley <andy.buckley@cern.ch>
* Add white backgrounds to make-plots main and ratio plot frames.
2017-09-05 Andy Buckley <andy.buckley@cern.ch>
* Add CMS_2016_PAS_TOP_15_006 jet multiplicity in lepton+jets ttbar at 8 TeV analysis.
* Add CMS_2017_I1467451 Higgs -> WW -> emu + MET in 8 TeV pp analysis.
* Add ATLAS_2017_I1609448 Z->ll + pTmiss analysis.
* Add vectorMissingEt/Pt and vectorMET/MPT convenience methods to MissingMomentum.
* Add ATLAS_2017_I1598613 J/psi + mu analysis.
* Add CMS SUSY 0-lepton search CMS_2017_I1594909 (unofficial implementation, validated vs. published cutflows)
2017-09-04 Andy Buckley <andy.buckley@cern.ch>
* Change license explicitly to GPLv3, cf. MCnet3 agreement.
* Add a better jet smearing resolution parametrisation, based on GAMBIT code from Matthias Danninger.
2017-08-16 Andy Buckley <andy.buckley@cern.ch>
* Protect make-plots against NaNs in error band values (patch from Dmitry Kalinkin).
2017-07-20 Andy Buckley <andy.buckley@cern.ch>
* Add sumPt, sumP4, sumP3 utility functions.
* Record truth particles as constituents of SmearedParticles output.
* Rename UnstableFinalState -> UnstableParticles, and convert
ZFinder to be a general ParticleFinder rather than FinalState.
2017-07-19 Andy Buckley <andy.buckley@cern.ch>
* Add implicit cast from FourVector & FourMomentum to Vector3, and tweak mT implementation.
* Add rawParticles() to ParticleFinder, and update DressedLeptons, WFinder, ZFinder and VetoedFinalState to cope.
* Add isCharged() and isChargedLepton() to Particle.
* Add constituents() and rawConstituents() to Particle.
* Add support for specifying bin edges as braced initializer lists rather than explicit vector<double>.
2017-07-18 Andy Buckley <andy.buckley@cern.ch>
* Enable methods for booking of Histo2D and Profile2D from Scatter3D reference data.
* Remove IsRef annotation from autobooked histogram objects.
2017-07-17 Andy Buckley <andy.buckley@cern.ch>
* Add pair-smearing to SmearedJets.
2017-07-08 Andy Buckley <andy.buckley@cern.ch>
* Add Event::centrality(), for non-HepMC access to the generator
value if one has been recorded -- otherwise -1.
2017-06-28 Andy Buckley <andy.buckley@cern.ch>
* Split the smearing functions into separate header files for
generic/momentum, Particle, Jet, and experiment-specific smearings
& efficiencies.
2017-06-27 Andy Buckley <andy.buckley@cern.ch>
* Add 'JetFinder' alias for JetAlg, by analogy with ParticleFinder.
2017-06-26 Andy Buckley <andy.buckley@cern.ch>
* Convert SmearedParticles to a more general list of combined
efficiency+smearing functions, with extra constructors and some
variadic template cleverness to allow implicit conversions from
single-operation eff and smearing function. Yay for C++11 ;-)
This work based on a macro-based version of combined eff/smear
functions by Karl Nordstrom -- thanks!
* Add *EffFn, *SmearFn, and *EffSmearFn types to SmearingFunctions.hh.
2017-06-23 Andy Buckley <andy.buckley@cern.ch>
* Add portable OpenMP enabling flags to AM_CXXFLAGS.
2017-06-22 Andy Buckley <andy.buckley@cern.ch>
* Fix the smearing random number seed and make it thread-specific
if OpenMP is available (not yet in the build system).
* Remove the UNUSED macro and find an alternative solution for the
cases where it was used, since there was a risk of macro clashes
with embedding codes.
* Add a -o output directory option to make-plots.
* Vector4.hh: Add mT2(vec,vec) functions.
2017-06-21 Andy Buckley <andy.buckley@cern.ch>
* Add a full set of in-range kinematics functors: ptInRange,
(abs)etaInRange, (abs)phiInRange, deltaRInRange, deltaPhiInRange,
deltaEtaInRange, deltaRapInRange.
* Add a convenience JET_BTAG_EFFS functor with several constructors to handle mistag rates.
* Add const efficiency functors operating on Particle, Jet, and FourMomentum.
* Add const-efficiency constructor variants for SmearedParticles.
2017-06-21 Jon Butterworth <jmb@hep.ucl.ac.uk>
* Fix normalisations in CMS_2016_I1454211.
* Fix analysis name in ref histo paths for ATLAS_2017_I1591327.
2017-06-18 Andy Buckley <andy.buckley@cern.ch>
* Move all standard plugin files into subdirs of src/Analyses,
with some custom make rules driving rivet-buildplugin.
2017-06-18 David Grellscheid <david.grellscheid@durham.ac.uk>
* Parallelise rivet-buildplugin, with source-file cat'ing and use
of a temporary Makefile.
2016-06-18 Holger Schulz <holger.schulz@durham.ac.uk>
* Version 2.5.4 release!
2016-06-17 Holger Schulz <holger.schulz@durham.ac.uk>
* Fix 8 TeV DY (ATLAS_2016_I1467454), EL/MU bits were bissing.
* Add 13 TeV DY (ATLAS_2017_I1514251) and mark
ATLAS_2015_CONF_2015_041 obsolete
* Add missing install statement for ATLAS_2016_I1448301.yoda/plot/info leading to
segfault
2017-06-09 Andy Buckley <andy.buckley@cern.ch>
* Slight improvements to Particle constructors.
* Improvement to Beam projection: before falling back to barcodes
1 & 2, try a manual search for status=4 particles. Based on a
patch from Andrii Verbytskyi.
2017-06-05 Andy Buckley <andy.buckley@cern.ch>
* Add CMS_2016_I1430892: dilepton channel ttbar charge asymmetry analysis.
* Add CMS_2016_I1413748: dilepton channel ttbar spin correlations and polarisation analysis.
* Add CMS_2017_I1518399: leading jet mass for boosted top quarks at 8 TeV.
* Add convenience constructors for ChargedLeptons projection.
2017-06-03 Andy Buckley <andy.buckley@cern.ch>
* Add FinalState and Cut (optional) constructor arguments and
usage to DISFinalState. Thanks to Andrii Verbytskyi for the idea
and initial patch.
2017-05-23 Andy Buckley <andy.buckley@cern.ch>
* Add ATLAS_2016_I1448301, Z/gamma cross section measurement at 8 TeV.
* Add ATLAS_2016_I1426515, WW production at 8 TeV.
2016-05-19 Holger Schulz <holger.schulz@durham.ac.uk>
* Add BELLE measurement of semileptonic B0bar -> D*+ ell nu decays. I
took the liberty to correct the data in the sense that I take the bin
widhts into account in the normalisation. BELLE_2017_I1512299.
This is a nice analysis as it probes the hadronic and the leptonic
side of the decay so very valuable for model building and of course it
is rare as it is an unfolded B measurement.
2016-05-17 Holger Schulz <holger.schulz@durham.ac.uk>
* Add ALEPH measurement of hadronic tau decays, ALEPH_2014_I1267648.
* Add ALEPH dimuon invariant mass (OS and SS) analysis, ALEPH_2016_I1492968
* The latter needed GENKTEE FastJet algorithm so I added that FastJets
* Protection against logspace exception in histobooking of
MC_JetAnalysis
* Fix compiler complaints about uninitialised variable in OPAL_2004.
2016-05-16 Holger Schulz <holger.schulz@durham.ac.uk>
* Tidy ALEPH_1999 charm fragmentation analysis and normalise to data
integral. Added DSTARPLUS and DSTARMINUS to PID.
2017-05-16 Andy Buckley <andy.buckley@cern.ch>
* Add ATLAS_2016_CONF_2016_092, inclusive jet cross sections using early 13 TeV data.
* Add ATLAS_2017_I1591327, isolated diphoton + X differential cross-sections.
* Add ATLAS_2017_I1589844, ATLAS_2017_I1589844_EL, ATLAS_2017_I1589844_MU: kT splittings in Z events at 8 TeV.
* Add ATLAS_2017_I1509919, track-based underlying event at 13 TeV in ATLAS.
* Add ATLAS_2016_I1492320_2l2j and ATLAS_2016_I1492320_3l, the WWW cross-section at 8 TeV.
2017-05-12 Andy Buckley <andy.buckley@cern.ch>
* Add ATLAS_2016_I1449082, charge asymmetry in top quark pair production in dilepton channel.
* Add ATLAS_2015_I1394865, inclusive 4-lepton/ZZ lineshape.
2017-05-11 Andy Buckley <andy.buckley@cern.ch>
* Add ATLAS_2013_I1234228, high-mass Drell-Yan at 7 TeV.
2017-05-10 Andy Buckley <andy.buckley@cern.ch>
* Add CMS_2017_I1519995, search for new physics with dijet angular distributions in proton-proton collisions at sqrt{(s) = 13 TeV.
* Add CMS_2017_I1511284, inclusive energy spectrum in the very forward direction in proton-proton collisions at 13 TeV.
* Add CMS_2016_I1486238, studies of 2 b-jet + 2 jet production in proton-proton collisions at 7 TeV.
* Add CMS_2016_I1454211, boosted ttbar in pp collisions at sqrtS = 8 TeV.
* Add CMS_2016_I1421646, CMS azimuthal decorrelations at 8 TeV.
2017-05-09 Andy Buckley <andy.buckley@cern.ch>
* Add CMS_2015_I1380605, per-event yield of the highest transverse
momentum charged particle and charged-particle jet.
* Add CMS_2015_I1370682_PARTON, a partonic-top version of the CMS
7 TeV pseudotop ttbar differential cross-section analysis.
* Adding EHS_1988_I265504 from Felix Riehn: charged-particle
production in K+ p, pi+ p and pp interactions at 250 GeV/c.
* Fix ALICE_2012_I1116147 for pi0 and Lambda feed-down.
2017-05-08 Andy Buckley <andy.buckley@cern.ch>
* Add protection against leptons from QED FSR photon conversions
in assigning PartonicTop decay modes. Thanks to Markus Seidel for
the report and suggested fix.
* Reimplement FastJets methods in terms of new static helper functions.
* Add new mkClusterInputs, mkJet and mkJets static methods to
FastJets, to help with direct calls to FastJet where particle
lookup for constituents and ghost tags are required.
* Fix Doxygen config and Makefile target to allow working with
out-of-source builds. Thanks to Christian Holm Christensen.
* Improve DISLepton for HERA analyses: thanks to Andrii Verbytskyi for the patch!
2017-03-30 Andy Buckley <andy.buckley@cern.ch>
* Replace non-template Analysis::refData functions with C++11 default T=Scatter2D.
2017-03-29 Andy Buckley <andy.buckley@cern.ch>
* Allow yes/no and true/false values for LogX, etc. plot options.
* Add --errs as an alias for --mc-errs to rivet-mkhtml and rivet-cmphistos.
2017-03-08 Peter Richardson <peter.richardson@durham.ac.uk>
* Added 6 analyses AMY_1990_I295160, HRS_1986_I18502, JADE_1983_I190818,
PLUTO_1980_I154270, TASSO_1989_I277658, TPC_1987_I235694 for charged multiplicity
in e+e- at CMS energies below the Z pole
* Added 2 analyses for charged multiplicity at the Z pole DELPHI_1991_I301657,
OPAL_1992_I321190
* Updated ALEPH_1991_S2435284 to plot the average charged multiplcity
* Added analyses OPAL_2004_I631361, OPAL_2004_I631361_qq, OPAL_2004_I648738 for
gluon jets in e+e-, most need fictitious e+e- > g g process
2017-03-29 Andy Buckley <andy.buckley@cern.ch>
* Add Cut and functor selection args to HeavyHadrons accessor methods.
2017-03-03 Andy Buckley <andy.buckley@cern.ch>
* bin/rivet-mkanalysis: Add FastJets.hh include by default -- it's almost always used.
2017-03-02 Andy Buckley <andy.buckley@cern.ch>
* src/Analyses/CMS_2016_I1473674.cc: Patch from CMS to use partonic tops.
* src/Analyses/CMS_2015_I1370682.cc: Patch to inline jet finding from CMS.
2017-03-01 Andy Buckley <andy.buckley@cern.ch>
* Convert DressedLeptons use of fromDecay to instead veto photons
that match fromHadron() || fromHadronicTau() -- meaning that
electrons and muons from leptonic taus will now be dressed.
* Move Particle and Jet std::function aliases to .fhh files, and
replace many uses of templates for functor arguments with
ParticleSelector meta-types instead.
* Move the canonical implementations of hasAncestorWith, etc. and
isLastWith, etc. from ParticleUtils.hh into Particle.
* Disable the event-to-event beam consistency check if the
ignore-beams mode is active.
2017-02-27 Andy Buckley <andy.buckley@cern.ch>
* Add BoolParticleAND, BoolJetOR, etc. functor combiners to
Tools/ParticleUtils.hh and Tools/JetUtils.hh.
2017-02-24 Andy Buckley <andy.buckley@cern.ch>
* Mark ATLAS_2016_CONF_2016_078 and CMS_2016_PAS_SUS_16_14
analyses as validated, since their cutflows match the documentation.
2017-02-22 Andy Buckley <andy.buckley@cern.ch>
* Add aggregate signal regions to CMS_2016_PAS_SUS_16_14.
2017-02-18 Andy Buckley <andy.buckley@cern.ch>
* Add getEnvParam function, for neater use of environment variable
parameters with a required default.
2017-02-05 Andy Buckley <andy.buckley@cern.ch>
* Add HasBTag and HasCTag jet functors, with lower-case aliases.
2017-01-18 Andy Buckley <andy.buckley@cern.ch>
* Use std::function in functor-expanded method signatures on JetAlg.
2017-01-16 Andy Buckley <andy.buckley@cern.ch>
* Convert FinalState particles() accessors to use std::function
rather than a template arg for sorting, and add filtering functor
support -- including a mix of filtering and sorting functors. Yay
for C++11!
* Add ParticleEffFilter and JetEffFilter constructors from a double (encoding constant efficiency).
* Add Vector3::abseta()
2016-12-13 Andy Buckley <andy.buckley@cern.ch>
* Version 2.5.3 release.
2016-12-12 Holger Schulz <holger.schulz@cern.ch>
* Add cut in BZ calculation in OPAL 4 jet analysis. Paper is not clear
about treatment of parallel vectors, leads to division by zero and
nan-fill and subsequent YODA RangeError (OPAL_2001_S4553896)
2016-12-12 Andy Buckley <andy.buckley@cern.ch>
* Fix bugs in SmearedJets treatment of b & c tagging rates.
* Adding ATLAS_2016_I1467454 analysis (high-mass Drell-Yan at 8 TeV)
* Tweak to 'convert' call to improve the thumbnail quality from rivet-mkhtml/make-plots.
2016-12-07 Andy Buckley <andy.buckley@cern.ch>
* Require Cython 0.24 or later.
2016-12-02 Andy Buckley <andy.buckley@cern.ch>
* Adding L3_2004_I652683 (LEP 1 & 2 event shapes) and
LHCB_2014_I1262703 (Z+jet at 7 TeV).
* Adding leading dijet mass plots to MC_JetAnalysis (and all
derived classes). Thanks to Chris Gutschow!
* Adding CMS_2012_I1298807 (ZZ cross-section at 8 TeV),
CMS_2016_I1459051 (inclusive jet cross-sections at 13 TeV) and
CMS_PAS_FSQ_12_020 (preliminary 7 TeV leading-track underlying
event).
* Adding CDF_2015_1388868 (ppbar underlying event at 300, 900, and 1960 GeV)
* Adding ATLAS_2016_I1467230 (13 TeV min bias),
ATLAS_2016_I1468167 (13 TeV inelastic pp cross-section), and
ATLAS_2016_I1479760 (7 TeV pp double-parton scattering with 4
jets).
2016-12-01 Andy Buckley <andy.buckley@cern.ch>
* Adding ALICE_2012_I1116147 (eta and pi0 pTs and ratio) and
ATLAS_2011_I929691 (7 TeV jet frag)
2016-11-30 Andy Buckley <andy.buckley@cern.ch>
* Fix bash bugs in rivet-buildplugin, including fixing the --cmd mode.
2016-11-28 Andy Buckley <andy.buckley@cern.ch>
* Add LHC Run 2 BSM analyses ATLAS_2016_CONF_2016_037 (3-lepton
and same-sign 2-lepton), ATLAS_2016_CONF_2016_054 (1-lepton +
jets), ATLAS_2016_CONF_2016_078 (ICHEP jets + MET),
ATLAS_2016_CONF_2016_094 (1-lepton + many jets), CMS_2013_I1223519
(alphaT + b-jets), and CMS_2016_PAS_SUS_16_14 (jets + MET).
* Provide convenience reversed-argument versions of apply and
declare methods, to allow presentational choice of declare syntax
in situations where the projection argument is very long, and
reduce requirements on the user's memory since this is one
situation in Rivet where there is no 'most natural' ordering
choice.
2016-11-24 Andy Buckley <andy.buckley@cern.ch>
* Adding pTvec() function to 4-vectors and ParticleBase.
* Fix --pwd option of the rivet script
2016-11-21 Andy Buckley <andy.buckley@cern.ch>
* Add weights and scaling to Cutflow/s.
2016-11-19 Andy Buckley <andy.buckley@cern.ch>
* Add Et(const ParticleBase&) unbound function.
2016-11-18 Andy Buckley <andy.buckley@cern.ch>
* Fix missing YAML quote mark in rivet-mkanalysis.
2016-11-15 Andy Buckley <andy.buckley@cern.ch>
* Fix constness requirements on ifilter_select() and Particle/JetEffFilter::operator().
* src/Analyses/ATLAS_2016_I1458270.cc: Fix inverted particle efficiency filtering.
2016-10-24 Andy Buckley <andy.buckley@cern.ch>
* Add rough ATLAS and CMS photon reco efficiency functions from
Delphes (ATLAS and CMS versions are identical, hmmm)
2016-10-12 Andy Buckley <andy.buckley@cern.ch>
* Tidying/fixing make-plots custom z-ticks code. Thanks to Dmitry Kalinkin.
2016-10-03 Holger Schulz <holger.schulz@cern.ch>
* Fix SpiresID -> InspireID in some analyses (show-analysis pointed to
non-existing web page)
2016-09-29 Holger Schulz <holger.schulz@cern.ch>
* Add Luminosity_fb to AnalysisInfo
* Added some keywords and Lumi to ATLAS_2016_I1458270
2016-09-28 Andy Buckley <andy.buckley@cern.ch>
* Merge the ATLAS and CMS from-Delphes electron and muon tracking
efficiency functions into generic trkeff functions -- this is how
it should be.
* Fix return type typo in Jet::bTagged(FN) templated method.
* Add eta and pT cuts to ATLAS truth b-jet definition.
* Use rounding rather than truncation in Cutflow percentage efficiency printing.
2016-09-28 Frank Siegert <frank.siegert@cern.ch>
* make-plots bugfix in y-axis labels for RatioPlotMode=deviation
2016-09-27 Andy Buckley <andy.buckley@cern.ch>
* Add vector and scalar pT (rather than Et) to MissingMomentum.
2016-09-27 Holger Schulz <holger.schulz@cern.ch>
* Analysis keyword machinery
* rivet -a @semileptonic
* rivet -a @semileptonic@^bdecays -a @semileptonic@^ddecays
2016-09-22 Holger Schulz <holger.schulz@cern.ch>
* Release version 2.5.2
2016-09-21 Andy Buckley <andy.buckley@cern.ch>
* Add a requirement to DressedLeptons that the FinalState passed
as 'bareleptons' will be filtered to only contain charged leptons,
if that is not already the case. Thanks to Markus Seidel for the
suggestion.
2016-09-21 Holger Schulz <holger.schulz@cern.ch>
* Add Simone Amoroso's plugin for hadron spectra (ALEPH_1995_I382179)
* Add Simone Amoroso's plugin for hadron spectra (OPAL_1993_I342766)
2016-09-20 Holger Schulz <holger.schulz@cern.ch>
* Add CMS ttbar analysis from contrib, mark validated (CMS_2016_I1473674)
* Extend rivet-mkhtml --booklet to also work with pdfmerge
2016-09-20 Andy Buckley <andy.buckley@cern.ch>
* Fix make-plots automatic YMax calculation, which had a typo from code cleaning (mea culpa!).
* Fix ChargedLeptons projection, which failed to exclude neutrinos!!! Thanks to Markus Seidel.
* Add templated FN filtering arg versions of the Jet::*Tags() and
Jet::*Tagged() functions.
2016-09-18 Andy Buckley <andy.buckley@cern.ch>
* Add CMS partonic top analysis (CMS_2015_I1397174)
2016-09-18 Holger Schulz <holger.schulz@cern.ch>
* Add L3 xp analysis of eta mesons, thanks Simone (L3_1992_I336180)
* Add D0 1.8 TeV jet shapes analysis, thanks Simone (D0_1995_I398175)
2016-09-17 Andy Buckley <andy.buckley@cern.ch>
* Add has{Ancestor,Parent,Child,Descendant}With functions and
HasParticle{Ancestor,Parent,Child,Descendant}With functors.
2016-09-16 Holger Schulz <holger.schulz@cern.ch>
* Add ATLAS 8TeV ttbar analysis from contrib (ATLAS_2015_I1404878)
2016-09-16 Andy Buckley <andy.buckley@cern.ch>
* Add particles(GenParticlePtr) to RivetHepMC.hh
* Add hasParent, hasParentWith, and hasAncestorWith to Particle.
2016-09-15 Holger Schulz <holger.schulz@cern.ch>
* Add ATLAS 8TeV dijet analysis from contrib (ATLAS_2015_I1393758)
* Add ATLAS 8TeV 'number of tracks in jets' analysis from contrib (ATLAS_2016_I1419070)
* Add ATLAS 8TeV g->H->WW->enumunu analysis from contrib (ATLAS_2016_I1444991)
2016-09-14 Holger Schulz <holger.schulz@cern.ch>
* Explicit std::toupper and std::tolower to make clang happy
2016-09-14 Andy Buckley <andy.buckley@cern.ch>
* Add ATLAS Run 2 0-lepton SUSY and monojet search papers (ATLAS_2016_I1452559, ATLAS_2016_I1458270)
2016-09-13 Andy Buckley <andy.buckley@cern.ch>
* Add experimental Cutflow and Cutflows objects for BSM cut tracking.
* Add 'direct' versions of any, all, none to Utils.hh, with an
implicity bool() transforming function.
2016-09-13 Holger Schulz <holger.schulz@cern.ch>
* Add and mark validated B+ to omega analysis (BABAR_2013_I1116411)
* Add and mark validated D0 to pi- analysis (BABAR_2015_I1334693)
* Add a few more particle names and use PID names in recently added
analyses
* Add Simone's OPAL b-frag analysis (OPAL_2003_I599181) after some
cleanup and heavy usage of new features
* Restructured DELPHI_2011_I890503 in the same manner --- picks up
a few more B-hadrons now (e.g. 20523 and such)
* Clean up and add ATLAS 8TeV MinBias (from contrib ATLAS_2016_I1426695)
2016-09-12 Andy Buckley <andy.buckley@cern.ch>
* Add a static constexpr DBL_NAN to Utils.hh for convenience, and
move some utils stuff out of MathHeader.hh
2016-09-12 Holger Schulz <holger.schulz@cern.ch>
* Add count function to Tools/Utils.h
* Add and mark validated B0bar and Bminus-decay to pi analysis (BELLE_2013_I1238273)
* Add and mark validated B0-decay analysis (BELLE_2011_I878990)
* Add and mark validated B to D decay analysis (BELLE_2011_I878990)
2016-09-08 Andy Buckley <andy.buckley@cern.ch>
* Add C-array version of multi-target Analysis::scale() and normalize(), and fix (semantic) constness.
* Add == and != operators for cuts applied to integers.
* Add missing delta{Phi,Eta,Rap}{Gtr,Less} functors to ParticleBaseUtils.hh
2016-09-07 Andy Buckley <andy.buckley@cern.ch>
* Add templated functor filtering args to the Particle parent/child/descendent methods.
2016-09-06 Andy Buckley <andy.buckley@cern.ch>
* Add ATLAS Run 1 medium and tight electron ID efficiency functions.
* Update configure scripts to use newer (Py3-safe) Python testing macros.
2016-09-02 Andy Buckley <andy.buckley@cern.ch>
* Add isFirstWith(out), isLastWith(out) functions, and functor
wrappers, using Cut and templated function/functor args.
* Add Particle::parent() method.
* Add using import/typedef of HepMC *Ptr types (useful step for HepMC 2.07 and 3.00).
* Various typo fixes (and canonical renaming) in ParticleBaseUtils functor collection.
* Add ATLAS MV2c10 and MV2c20 b-tagging effs to SmearingFunctions.hh collection.
2016-09-01 Andy Buckley <andy.buckley@cern.ch>
* Add a PartonicTops projection.
* Add overloaded versions of the Event::allParticles() method with
selection Cut or templated selection function arguments.
2016-08-25 Andy Buckley <andy.buckley@cern.ch>
* Add rapidity scheme arg to DeltaR functor constructors.
2016-08-23 Andy Buckley <andy.buckley@cern.ch>
* Provide an Analysis::bookCounter(d,x,y, title) function, for
convenience and making the mkanalysis template valid.
* Improve container utils functions, and provide combined
remove_if+erase filter_* functions for both select- and
discard-type selector functions.
2016-08-22 Holger Schulz <holger.schulz@cern.ch>
* Bugfix in rivet-mkhtml (NoneType: ana.spiresID() --> spiresid)
* Added <numeric> include to Rivet/Tools/Utils.h to make gcc6 happy
2016-08-22 Andy Buckley <andy.buckley@cern.ch>
* Add efffilt() functions and Particle/JetEffFilt functors to SmearingFunctions.hh
2016-08-20 Andy Buckley <andy.buckley@cern.ch>
* Adding filterBy methods for Particle and Jet which accept
generic boolean functions as well as the Cut specialisation.
2016-08-18 Andy Buckley <andy.buckley@cern.ch>
* Add a Jet::particles(Cut&) method, for inline filtering of jet constituents.
* Add 'conjugate' behaviours to container head and tail functions
via negative length arg values.
2016-08-15 Andy Buckley <andy.buckley@cern.ch>
* Add convenience headers for including all final-state and
smearing projections, to save user typing.
2016-08-12 Andy Buckley <andy.buckley@cern.ch>
* Add standard MET functions for ATLAS R1 (and currently copies
for R2 and CMS).
* Add lots of vector/container helpers for e.g. container slicing,
summing, and min/max calculation.
* Adapt SmearedMET to take *two* arguments, since SET is typically
used to calculate MET resolution.
* Adding functors for computing vector & ParticleBase differences
w.r.t. another vector.
2016-08-12 Holger Schulz <holger.schulz@cern.ch>
* Implemented a few more cuts in prompt photon analysis
(CDF_1993_S2742446) but to no avail, the rise of the data towards
larger costheta values cannot be reproduced --- maybe this is a
candidate for more scrutiny and using the boosting machinery such that
the c.m. cuts can be done in a non-approximate way
2016-08-11 Holger Schulz <holger.schulz@cern.ch>
* Rename CDF_2009_S8383952 to CDF_2009_I856131 due to invalid Spires
entry.
* Add InspireID to all analysis known by their Spires key
2016-08-09 Holger Schulz <holger.schulz@cern.ch>
* Release 2.5.1
2016-08-08 Andy Buckley <andy.buckley@cern.ch>
* Add a simple MC_MET analysis for out-of-the-box MET distribution testing.
2016-08-08 Holger Schulz <holger.schulz@cern.ch>
* Add DELPHI_2011_I890503 b-quark fragmentation function measurement,
which superseded DELPHI_2002_069_CONF_603. The latter is marked
OBSOLETE.
2016-08-05 Holger Schulz <holger.schulz@cern.ch>
* Use Jet mass and energy smearing in CDF_1997_... six-jet analysis,
mark validated.
* Mark CDF_2001_S4563131 validated
* D0_1996_S3214044 --- cut on jet Et rather than pT, fix filling of
costheta and theta plots, mark validated. Concerning the jet
algorithm, I tried with the implementation of fastjet
fastjet/D0RunIConePlugin.hh but that really does not help.
* D0_1996_S3324664 --- fix normalisations, sorting jets properly now,
cleanup and mark validated.
2016-08-04 Holger Schulz <holger.schulz@cern.ch>
* Use Jet mass and energy smearing in CDF_1996_S310 ... jet properties
analysis. Cleanup analysis and mark validated. Added some more run info.
The same for CDF_1996_S334... (pretty much the same cuts, different
observables).
* Minor fixes in SmearedJets projection
2016-08-03 Andy Buckley <andy.buckley@cern.ch>
* Protect SmearedJets against loss of tagging information if a
momentum smearing function is used (rather than a dedicated Jet
smearing fn) via implicit casts.
2016-08-02 Andy Buckley <andy.buckley@cern.ch>
* Add SmearedMET projection, wrapping MissingMomentum.
* Include base truth-level projections in SmearedParticles/Jets compare() methods.
2016-07-29 Andy Buckley <andy.buckley@cern.ch>
* Rename TOTEM_2012_002 to proper TOTEM_2012_I1220862 name.
* Remove conditional building of obsolete, preliminary and
unvalidated analyses. Now always built, since there are sufficient
warnings.
2016-07-28 Holger Schulz <holger.schulz@cern.ch>
* Mark D0_2000... W pT analysis validated
* Mark LHCB_2011_S919... phi meson analysis validated
2016-07-25 Andy Buckley <andy.buckley@cern.ch>
* Add unbound accessors for momentum properties of ParticleBase objects.
* Add Rivet/Tools/ParticleBaseUtils.hh to collect tools like functors for particle & jet filtering.
* Add vector<ptr> versions of Analysis::scale() and ::normalize(), for batched scaling.
* Add Analysis::scale() and Analysis::divide() methods for Counter types.
* Utils.hh: add a generic sum() function for containers, and use auto in loop to support arrays.
* Set data path as well as lib path in scripts with --pwd option, and use abs path to $PWD.
* Add setAnalysisDataPaths and addAnalysisDataPath to RivetPaths.hh/cc and Python.
* Pass absolutized RIVET_DATA_PATH from rivet-mkhtml to rivet-cmphistos.
2016-07-24 Holger Schulz <holger.schulz@cern.ch>
* Mark CDF_2008_S77... b jet shapes validated
* Added protection against low stats yoda exception
in finalize for that analysis
2016-07-22 Andy Buckley <andy.buckley@cern.ch>
* Fix newly introduced bug in make-plots which led to data point
markers being skipped for all but the last bin.
2016-07-21 Andy Buckley <andy.buckley@cern.ch>
* Add pid, abspid, charge, abscharge, charge3, and abscharge3 Cut
enums, handled by Particle cut targets.
* Add abscharge() and abscharge3() methods to Particle.
* Add optional Cut and duplicate-removal flags to Particle children & descendants methods.
* Add unbound versions of Particle is* and from* methods, for easier functor use.
* Add Particle::isPrompt() as a member rather than unbound function.
* Add protections against -ve mass from numerical precision errors in smearing functions.
2016-07-20 Andy Buckley <andy.buckley@cern.ch>
* Move several internal system headers into the include/Rivet/Tools directory.
* Fix median-computing safety logic in ATLAS_2010_S8914702 and
tidy this and @todo markers in several similar analyses.
* Add to_str/toString and stream functions for Particle, and a bit
of Particle util function reorganisation.
* Add isStrange/Charm/Bottom PID and Particle functions.
* Add RangeError exception throwing from MathUtils.hh stats
functions if given empty/mismatched datasets.
* Add Rivet/Tools/PrettyPrint.hh, based on https://louisdx.github.io/cxx-prettyprint/
* Allow use of path regex group references in .plot file keyed values.
2016-07-20 Holger Schulz <holger.schulz@cern.ch>
* Fix the --nskip behaviour on the main rivet script.
2016-07-07 Andy Buckley <andy.buckley@cern.ch>
* Release version 2.5.0
2016-07-01 Andy Buckley <andy.buckley@cern.ch>
* Fix pandoc interface flag version detection.
2016-06-28 Andy Buckley <andy.buckley@cern.ch>
* Release version 2.4.3
* Add ATLAS_2016_I1468168 early ttbar fully leptonic fiducial
cross-section analysis at 13 TeV.
2016-06-21 Andy Buckley <andy.buckley@cern.ch>
* Add ATLAS_2016_I1457605 inclusive photon analysis at 8 TeV.
2016-06-15 Andy Buckley <andy.buckley@cern.ch>
* Add a --show-bibtex option to the rivet script, for convenient
outputting of a BibTeX db for the used analyses.
2016-06-14 Andy Buckley <andy.buckley@cern.ch>
* Add and rename 4-vector boost calculation methods: new methods
beta, betaVec, gamma & gammaVec are now preferred to the
deprecated boostVector method.
2016-06-13 Andy Buckley <andy.buckley@cern.ch>
* Add and use projection handling methods declare(proj, pname) and
apply<PROJ>(evt, pname) rather than the longer and explicitly
'projectiony' addProjection & applyProjection.
* Start using the DEFAULT_RIVET_ANALYSIS_CTOR macro (newly created
preferred alias to long-present DEFAULT_RIVET_ANA_CONSTRUCTOR)
* Add a DEFAULT_RIVET_PROJ_CLONE macro for implementing the
clone() method boiler-plate code in projections.
2016-06-10 Andy Buckley <andy.buckley@cern.ch>
* Add a NonPromptFinalState projection, and tweak the
PromptFinalState and unbound Particle functions a little in
response. May need some more finessing.
* Add user-facing aliases to ProjectionApplier add, get, and apply
methods... the templated versions of which can now be called
without using the word 'projection', which makes the function
names a bit shorter and pithier, and reduces semantic repetition.
2016-06-10 Andy Buckley <andy.buckley@cern.ch>
* Adding ATLAS_2015_I1397635 Wt at 8 TeV analysis.
* Adding ATLAS_2015_I1390114 tt+b(b) at 8 TeV analysis.
2016-06-09 Andy Buckley <andy.buckley@cern.ch>
* Downgrade some non-fatal error messages from ERROR to WARNING
status, because *sigh* ATLAS's software treats any appearance of
the word 'ERROR' in its log file as a reason to report the job as
failed (facepalm).
2016-06-07 Andy Buckley <andy.buckley@cern.ch>
* Adding ATLAS 13 TeV minimum bias analysis, ATLAS_2016_I1419652.
2016-05-30 Andy Buckley <andy.buckley@cern.ch>
* pyext/rivet/util.py: Add pandoc --wrap/--no-wrap CLI detection
and batch conversion.
* bin/rivet: add -o as a more standard 'output' option flag alias to -H.
2016-05-23 Andy Buckley <andy.buckley@cern.ch>
* Remove the last ref-data bin from table 16 of
ATLAS_2010_S8918562, due to data corruption. The corresponding
HepData record will be amended by ATLAS.
2016-05-12 Holger Schulz <holger.schulz@durham.ac.uk>
* Mark ATLAS_2012_I1082009 as validated after exhaustive tests with
Pythia8 and Sherpa in inclusive QCD mode.
2016-05-11 Andy Buckley <andy.buckley@cern.ch>
* Specialise return error codes from the rivet script.
2016-05-11 Andy Buckley <andy.buckley@cern.ch>
* Add Event::allParticles() to provide neater (but not *helpful*)
access to Rivet-wrapped versions of the raw particles in the
Event::genEvent() record, and hence reduce HepMC digging.
2016-05-05 Andy Buckley <andy.buckley@cern.ch>
* Version 2.4.2 release!
* Update SLD_2002_S4869273 ref data to match publication erratum,
now updated in HepData. Thanks to Peter Skands for the report and
Mike Whalley / Graeme Watt for the quick fix and heads-up.
2016-04-27 Andy Buckley <andy.buckley@cern.ch>
* Add CMS_2014_I1305624 event shapes analysis, with standalone
variable calculation struct embedded in an unnamed namespace.
2016-04-19 Andy Buckley <andy.buckley@cern.ch>
* Various clean-ups and fixes in ATLAS analyses using isolated
photons with median pT density correction.
2016-04-18 Andy Buckley <andy.buckley@cern.ch>
* Add transformBy(LT) methods to Particle and Jet.
* Add mkObjectTransform and mkFrameTransform factory methods to LorentzTransform.
2016-04-17 Andy Buckley <andy.buckley@cern.ch>
* Add null GenVertex protection in Particle children & descendants methods.
2016-04-15 Andy Buckley <andy.buckley@cern.ch>
* Add ATLAS_2015_I1397637, ATLAS 8 TeV boosted top cross-section vs. pT
2016-04-14 Andy Buckley <andy.buckley@cern.ch>
* Add a --no-histos argument to the rivet script.
2016-04-13 Andy Buckley <andy.buckley@cern.ch>
* Add ATLAS_2015_I1351916 (8 TeV Z FB asymmetry) and
ATLAS_2015_I1408516 (8 TeV Z phi* and pT) analyses, and their _EL,
_MU variants.
2016-04-12 Andy Buckley <andy.buckley@cern.ch>
* Patch PID utils for ordering issues in baryon decoding.
2016-04-11 Andy Buckley <andy.buckley@cern.ch>
* Actually implement ZEUS_2001_S4815815... only 10 years late!
2016-04-08 Andy Buckley <andy.buckley@cern.ch>
* Add a --guess-prefix flag to rivet-config, cf. fastjet-config.
* Add RIVET_DATA_PATH variable and related functions in C++ and
Python as a common first-fallback for RIVET_REF_PATH,
RIVET_INFO_PATH, and RIVET_PLOT_PATH.
* Add --pwd options to rivet-mkhtml and rivet-cmphistos
2016-04-07 Andy Buckley <andy.buckley@cern.ch>
* Remove implicit conventional event rotation for HERA -- this
needs to be done explicitly from now.
* Add comBoost functions and methods to Beam.hh, and tidy
LorentzTransformation.
* Restructure Beam projection functions for beam particle and
sqrtS extraction, and add asqrtS functions.
* Rename and improve PID and Particle Z,A,lambda functions ->
nuclZ,nuclA,nuclNlambda.
2016-04-05 Andy Buckley <andy.buckley@cern.ch>
* Improve binIndex function, with an optional argument to allow
overflow lookup, and add it to testMath.
* Adding setPE, setPM, setPtEtaPhiM, etc. methods and
corresponding mk* static methods to FourMomentum, as well as
adding more convenience aliases and vector attributes for
completeness. Coordinate conversion functions taken from
HEPUtils::P4. New attrs also mapped to ParticleBase.
2016-03-29 Andy Buckley <andy.buckley@cern.ch>
* ALEPH_1996_S3196992.cc, ATLAS_2010_S8914702.cc,
ATLAS_2011_I921594.cc, ATLAS_2011_S9120807.cc,
ATLAS_2012_I1093738.cc, ATLAS_2012_I1199269.cc,
ATLAS_2013_I1217867.cc, ATLAS_2013_I1244522.cc,
ATLAS_2013_I1263495.cc, ATLAS_2014_I1307756.cc,
ATLAS_2015_I1364361.cc, CDF_2008_S7540469.cc,
CMS_2015_I1370682.cc, MC_JetSplittings.cc, STAR_2006_S6870392.cc:
Updates for new FastJets interface, and other cleaning.
* Deprecate 'standalone' FastJets constructors -- they are
misleading.
* More improvements around jets, including unbound conversion and
filtering routines between collections of Particles, Jets, and
PseudoJets.
* Place 'Cut' forward declaration in a new Cuts.fhh header.
* Adding a Cuts::OPEN extern const (a bit more standard- and
constant-looking than Cuts::open())
2016-03-28 Andy Buckley <andy.buckley@cern.ch>
* Improvements to FastJets constructors, including specification
of optional AreaDefinition as a constructor arg, disabling dodgy
no-FS constructors which I suspect don't work properly in the
brave new world of automatic ghost tagging, using a bit of
judicious constructor delegation, and completing/exposing use of
shared_ptr for internal memory management.
2016-03-26 Andy Buckley <andy.buckley@cern.ch>
* Remove Rivet/Tools/RivetBoost.hh and Boost references from
rivet-config, rivet-buildplugin, and configure.ac. It's gone ;-)
* Replace Boost assign usage with C++11 brace initialisers. All
Boost use is gone from Rivet!
* Replace Boost lexical_cast and string algorithms.
2016-03-25 Andy Buckley <andy.buckley@cern.ch>
* Bug-fix in semi-leptonic top selection of CMS_2015_I1370682.
2016-03-12 Andy Buckley <andy.buckley@cern.ch>
* Allow multi-line major tick labels on make-plots linear x and y
axes. Linebreaks are indicated by \n in the .dat file.
2016-03-09 Andy Buckley <andy.buckley@cern.ch>
* Release 2.4.1
2016-03-03 Andy Buckley <andy.buckley@cern.ch>
* Add a --nskip flag to the rivet command-line tool, to allow
processing to begin in the middle of an event file (useful for
batched processing of large files, in combination with --nevts)
2016-03-03 Holger Schulz <holger.schulz@durham.ac.uk>
* Add ATLAS 7 TeV event shapes in Z+jets analysis (ATLAS_2016_I1424838)
2016-02-29 Andy Buckley <andy.buckley@cern.ch>
* Update make-plots to use multiprocessing rather than threading.
* Add FastJets::trimJet method, thanks to James Monk for the
suggestion and patch.
* Add new preferred name PID::charge3 in place of
PID::threeCharge, and also convenience PID::abscharge and
PID::abscharge3 functions -- all derived from changes in external
HEPUtils.
* Add analyze(const GenEvent*) and analysis(string&) methods to
AnalysisHandler, plus some docstring improvements.
2016-02-23 Andy Buckley <andy.buckley@cern.ch>
* New ATLAS_2015_I1394679 analysis.
* New MC_HHJETS analysis from Andreas Papaefstathiou.
* Ref data updates for ATLAS_2013_I1219109, ATLAS_2014_I1312627,
and ATLAS_2014_I1319490.
* Add automatic output paging to 'rivet --show-analyses'
2016-02-16 Andy Buckley <andy.buckley@cern.ch>
* Apply cross-section unit fixes and plot styling improvements to
ATLAS_2013_I1217863 analyses, thanks to Christian Gutschow.
* Fix to rivet-cmphistos to avoid overwriting RatioPlotYLabel if
already set via e.g. the PLOT pseudo-file. Thanks to Johann Felix
v. Soden-Fraunhofen.
2016-02-15 Andy Buckley <andy.buckley@cern.ch>
* Add Analysis::bookCounter and some machinery in rivet-cmphistos
to avoid getting tripped up by unplottable (for now) data types.
* Add --font and --format options to rivet-mkhtml and make-plots,
to replace the individual flags used for that purpose. Not fully
cleaned up, but a necessary step.
* Add new plot styling options to rivet-cmphistos and
rivet-mkhtml. Thanks to Gavin Hesketh.
* Modify rivet-cmphistos and rivet-mkhtml to apply plot hiding if
*any* path component is hidden by an underscore prefix, as
implemented in AOPath, plus other tidying using new AOPath
methods.
* Add pyext/rivet/aopaths.py, containing AOPath object for central
& standard decoding of Rivet-standard analysis object path
structures.
2016-02-12 Andy Buckley <andy.buckley@cern.ch>
* Update ParticleIdUtils.hh (i.e. PID:: functions) to use the
functions from the latest version of MCUtils' PIDUtils.h.
2016-01-15 Andy Buckley <andy.buckley@cern.ch>
* Change rivet-cmphistos path matching logic from match to search
(user can add explicit ^ marker if they want match semantics).
2015-12-20 Andy Buckley <andy.buckley@cern.ch>
* Improve linspace (and hence also logspace) precision errors by
using multiplication rather than repeated addition to build edge
list (thanks to Holger Schulz for the suggestion).
2015-12-15 Andy Buckley <andy.buckley@cern.ch>
* Add cmphistos and make-plots machinery for handling 'suffix'
variations on plot paths, currently just by plotting every line,
with the variations in a 70% faded tint.
* Add Beam::pv() method for finding the beam interaction primary
vertex 4-position.
* Add a new Particle::setMomentum(E,x,y,z) method, and an origin
position member which is automatically populated from the
GenParticle, with access methods corresponding to the momentum
ones.
2015-12-10 Andy Buckley <andy.buckley@cern.ch>
* make-plots: improve custom tick attribute handling, allowing
empty lists. Also, any whitespace now counts as a tick separator
-- explicit whitespace in labels should be done via ~ or similar
LaTeX markup.
2015-12-04 Andy Buckley <andy.buckley@cern.ch>
* Pro-actively use -m/-M arguments when initially loading
histograms in mkhtml, *before* passing them to cmphistos.
2015-12-03 Andy Buckley <andy.buckley@cern.ch>
* Move contains() and has_key() functions on STL containers from std to Rivet namespaces.
* Adding IsRef attributes to all YODA refdata files; this will be
used to replace the /REF prefix in Rivet v3 onwards. The migration
has also removed leading # characters from BEGIN/END blocks, as
per YODA format evolution: new YODA versions as required by
current Rivet releases are able to read both the old and new
formats.
2015-12-02 Andy Buckley <andy.buckley@cern.ch>
* Add handling of a command-line PLOT 'file' argument to rivet-mkhtml, cf. rivet-cmphistos.
* Improvements to rivet-mkhtml behaviour re. consistency with
rivet-cmphistos in how muti-part histo paths are decomposed into
analysis-name + histo name, and removal of 'NONE' strings.
2015-11-30 Andy Buckley <andy.buckley@cern.ch>
* Relax rivet/plotinfo.py pattern matching on .plot file
components, to allow leading whitespace and around = signs, and to
make the leading # optional on BEGIN/END blocks.
2015-11-26 Andy Buckley <andy.buckley@cern.ch>
* Write out intermediate histogram files by default, with event interval of 10k.
2015-11-25 Andy Buckley <andy.buckley@cern.ch>
* Protect make-plots against lock-up due to partial pstricks command when there are no data points.
2015-11-17 Andy Buckley <andy.buckley@cern.ch>
* rivet-cmphistos: Use a ratio label that doesn't mention 'data' when plotting MC vs. MC.
2015-11-12 Andy Buckley <andy.buckley@cern.ch>
* Tweak plot and subplot sizing defaults in make-plots so the
total canvas is always the same size by default.
2015-11-10 Andy Buckley <andy.buckley@cern.ch>
* Handle 2D histograms better in rivet-cmphistos (since they can't be overlaid)
2015-11-05 Andy Buckley <andy.buckley@cern.ch>
* Allow comma-separated analysis name lists to be passed to a single -a/--analysis/--analyses option.
* Convert namespace-global const variables to be static, to suppress compiler warnings.
* Use standard MAX_DBL and MAX_INT macros as a source for MAXDOUBLE and MAXINT, to suppress GCC5 warnings.
2015-11-04 Holger Schulz <holger.schulz@durham.ac.uk>
* Adding LHCB inelastic xsection measurement (LHCB_2015_I1333223)
* Adding ATLAS colour flow in ttbar->semileptonic measurement (ATLAS_2015_I1376945)
2015-10-07 Chris Pollard <cpollard@cern.ch>
* Release 2.4.0
2015-10-06 Holger Schulz <holger.schulz@durham.ac.uk>
* Adding CMS_2015_I1327224 dijet analysis (Mjj>2 TeV)
2015-10-03 Holger Schulz <holger.schulz@durham.ac.uk>
* Adding CMS_2015_I1346843 Z+gamma
2015-09-30 Andy Buckley <andy.buckley@cern.ch>
* Important improvement in FourVector & FourMomentum: new reverse()
method to return a 4-vector in which only the spatial component
has been inverted cf. operator- which flips the t/E component as
well.
2015-09-28 Holger Schulz <holger.schulz@durham.ac.uk>
* Adding D0_2000_I503361 ZPT at 1800 GeV
2015-09-29 Chris Pollard <cpollard@cern.ch>
* Adding ATLAS_2015_CONF_2015_041
2015-09-29 Chris Pollard <cpollard@cern.ch>
* Adding ATLAS_2015_I1387176
2015-09-29 Chris Pollard <cpollard@cern.ch>
* Adding ATLAS_2014_I1327229
2015-09-28 Chris Pollard <cpollard@cern.ch>
* Adding ATLAS_2014_I1326641
2015-09-28 Holger Schulz <holger.schulz@durham.ac.uk>
* Adding CMS_2013_I1122847 FB assymetry in DY analysis
2015-09-28 Andy Buckley <andy.buckley@cern.ch>
* Adding CMS_2015_I1385107 LHA pp 2.76 TeV track-jet underlying event.
2015-09-27 Andy Buckley <andy.buckley@cern.ch>
* Adding CMS_2015_I1384119 LHC Run 2 minimum bias dN/deta with no B field.
2015-09-25 Andy Buckley <andy.buckley@cern.ch>
* Adding TOTEM_2014_I1328627 forward charged density in eta analysis.
2015-09-23 Andy Buckley <andy.buckley@cern.ch>
* Add CMS_2015_I1310737 Z+jets analysis.
* Allow running MC_{W,Z}INC, MC_{W,Z}JETS as separate bare lepton
analyses.
2015-09-23 Andy Buckley <andy.buckley@cern.ch>
* FastJets now allows use of FastJet pure ghosts, by excluding
them from the constituents of Rivet Jet objects. Thanks to James
Monk for raising the issue and providing a patch.
2015-09-15 Andy Buckley <andy.buckley@cern.ch>
* More MissingMomentum changes: add optional 'mass target'
argument when retrieving the vector sum as a 4-momentum, with the
mass defaulting to 0 rather than sqrt(sum(E)^2 - sum(p)^2).
* Require Boost 1.55 for robust compilation, as pointed out by
Andrii Verbytskyi.
2015-09-10 Andy Buckley <andy.buckley@cern.ch>
* Allow access to MissingMomentum projection via WFinder.
* Adding extra methods to MissingMomentum, to make it more user-friendly.
2015-09-09 Andy Buckley <andy.buckley@cern.ch>
* Fix factor of 2 in LHCB_2013_I1218996 normalisation, thanks to
Felix Riehn for the report.
2015-08-20 Frank Siegert <frank.siegert@cern.ch>
* Add function to ZFinder to retrieve all fiducial dressed
leptons, e.g. to allow vetoing on a third one (proposed by
Christian Gutschow).
2015-08-18 Andy Buckley <andy.buckley@cern.ch>
* Rename xs and counter AOs to start with underscores, and modify
rivet-cmphistos to skip AOs whose basenames start with _.
2015-08-17 Andy Buckley <andy.buckley@cern.ch>
* Add writing out of cross-section and total event counter by
default. Need to add some name protection to avoid them being
plotted.
2015-08-16 Andy Buckley <andy.buckley@cern.ch>
* Add templated versions of Analysis::refData() to use data types
other than Scatter2DPtr, and convert the cached ref data store to
generic AnalysisObjectPtrs to make it possible.
2015-07-29 Andy Buckley <andy.buckley@cern.ch>
* Add optional Cut arguments to all the Jet tag methods.
* Add exception handling and pre-emptive testing for a
non-writeable output directory (based on patch from Lukas
Heinrich).
2015-07-24 Andy Buckley <andy.buckley@cern.ch>
* Version 2.3.0 release.
2015-07-02 Holger Schulz <holger.schulz@durham.ac.uk>
* Tidy up ATLAS higgs combination analysis.
* Add ALICE kaon, pion analysis (ALICE_2015_I1357424)
* Add ALICE strange baryon analysis (ALICE_2014_I1300380)
* Add CDF ZpT measurement in Z->ee events analysis (CDF_2012_I1124333)
* Add validated ATLAS W+charm measurement (ATLAS_2014_I1282447)
* Add validated CMS jet and dijet analysis (CMS_2013_I1208923)
2015-07-01 Andy Buckley <andy.buckley@cern.ch>
* Define a private virtual operator= on Projection, to block
'sliced' accidental value copies of derived class instances.
* Add new muon-in-jet options to FastJet constructors, pass that
and invisibles enums correctly to JetAlg, tweak the default
strategies, and add a FastJets constructor from a
fastjet::JetDefinition (while deprecating the plugin-by-reference
constructor).
2015-07-01 Holger Schulz <holger.schulz@durham.ac.uk>
* Add D0 phi* measurement (D0_2015_I1324946).
* Remove WUD and MC_PHOTONJETUE analyses
* Don't abort ATLAS_2015_I1364361 if there is no stable Higgs
print a warning instead and veto event
2015-07-01 Andy Buckley <andy.buckley@cern.ch>
* Add all, none, from-decay muon filtering options to JetAlg and
FastJets.
* Rename NONPROMPT_INVISIBLES to DECAY_INVISIBLES for clarity &
extensibility.
* Remove FastJets::ySubJet, splitJet, and filterJet methods --
they're BDRS-paper-specific and you can now use the FastJet
objects directly to do this and much more.
* Adding InvisiblesStrategy to JetAlg, using it rather than a bool
in the useInvisibles method, and updating FastJets to use this
approach for its particle filtering and to optionally use the enum
in the constructor arguments. The new default invisibles-using
behaviour is to still exclude _prompt_ invisibles, and the default
is still to exclude them all. Only one analysis
(src/Analyses/STAR_2006_S6870392.cc) required updating, since it
was the only one to be using the FastJets legacy seed_threshold
constructor argument.
* Adding isVisible method to Particle, taken from
VisibleFinalState (which now uses this).
2015-06-30 Andy Buckley <andy.buckley@cern.ch>
* Marking many old & superseded ATLAS analyses as obsolete.
* Adding cmpMomByMass and cmpMomByAscMass sorting functors.
* Bump version to 2.3.0 and require YODA > 1.4.0 (current head at
time of development).
2015-06-08 Andy Buckley <andy.buckley@cern.ch>
* Add handling of -m/-M flags on rivet-cmphistos and rivet-mkhtml,
moving current rivet-mkhtml -m/-M to -a/-A (for analysis name
pattern matching). Requires YODA head (will be YODA 1.3.2 of
1.4.0).
* src/Analyses/ATLAS_2015_I1364361.cc: Now use the built-in prompt
photon selecting functions.
* Tweak legend positions in MC_JETS .plot file.
* Add a bit more debug output from ZFinder and WFinder.
2015-05-24 Holger Schulz <holger.schulz@durham.ac.uk>
* Normalisation discussion concerning ATLAS_2014_I1325553
is resolved. Changed YLabel accordingly.
2015-05-19 Holger Schulz <holger.schulz@durham.ac.uk>
* Add (preliminary) ATLAS combined Higgs analysis
(ATLAS_2015_I1364361). Data will be updated and more
histos added as soon as paper is published in journal.
For now using data taken from public ressource
https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/HIGG-2014-11/
2015-05-19 Peter Richardson <peter.richardson@durham.ac.uk>
* Fix ATLAS_2014_I1325553 normalisation of histograms was wrong by
factor of two |y| vs y problem
2015-05-01 Andy Buckley <andy.buckley@cern.ch>
* Fix MC_HJETS/HINC/HKTSPLITTINGS analyses to (ab)use the ZFinder
with a mass range of 115-135 GeV and a mass target of 125 GeV (was
previously 115-125 and mass target of mZ)
2015-04-30 Andy Buckley <andy.buckley@cern.ch>
* Removing uses of boost::assign::list_of, preferring the existing
comma-based assign override for now, for C++11 compatibility.
* Convert MC_Z* analysis finalize methods to use scale() rather than normalize().
2015-04-01 Holger Schulz <holger.schulz@durham.ac.uk>
* Add CMS 7 TeV rapidity gap analysis (CMS_2015_I1356998).
* Remove FinalState Projection.
2015-03-30 Holger Schulz <holger.schulz@durham.ac.uk>
* Add ATLAS 7 TeV photon + jets analysis (ATLAS_2013_I1244522).
2015-03-26 Andy Buckley <andy.buckley@cern.ch>
* Updates for HepMC 2.07 interface constness improvements.
2015-03-25 Holger Schulz <holger.schulz@durham.ac.uk>
* Add ATLAS double parton scattering in W+2j analysis (ATLAS_2013_I1216670).
2015-03-24 Andy Buckley <andy.buckley@cern.ch>
* 2.2.1 release!
2015-03-23 Holger Schulz <holger.schulz@durham.ac.uk>
* Add ATLAS differential Higgs analysis (ATLAS_2014_I1306615).
2015-03-19 Chris Pollard <cpollard@cern.ch>
* Add ATLAS V+gamma analyses (ATLAS_2013_I1217863)
2015-03-20 Andy Buckley <andy.buckley@cern.ch>
* Adding ATLAS R-jets analysis i.e. ratios of W+jets and Z+jets
observables (ATLAS_2014_I1312627 and _EL, _MU variants)
* include/Rivet/Tools/ParticleUtils.hh: Adding same/oppSign and
same/opp/diffCharge functions, operating on two Particles.
* include/Rivet/Tools/ParticleUtils.hh: Adding HasAbsPID functor
and removing optional abs arg from HasPID.
2015-03-19 Andy Buckley <andy.buckley@cern.ch>
* Mark ATLAS_2012_I1083318 as VALIDATED and fix d25-x01-y02 ref data.
2015-03-19 Chris Pollard <cpollard@cern.ch>
* Add ATLAS W and Z angular analyses (ATLAS_2011_I928289)
2015-03-19 Andy Buckley <andy.buckley@cern.ch>
* Add LHCb charged particle multiplicities and densities analysis (LHCB_2014_I1281685)
* Add LHCb Z y and phi* analysis (LHCB_2012_I1208102)
2015-03-19 Holger Schulz <holger.schulz@durham.ac.uk>
* Add ATLAS dijet analysis (ATLAS_2014_I1325553).
* Add ATLAS Z pT analysis (ATLAS_2014_I1300647).
* Add ATLAS low-mass Drell-Yan analysis (ATLAS_2014_I1288706).
* Add ATLAS gap fractions analysis (ATLAS_2014_I1307243).
2015-03-18 Andy Buckley <andy.buckley@cern.ch>
* Adding CMS_2014_I1298810 and CMS_2014_I1303894 analyses.
2015-03-18 Holger Schulz <holger.schulz@durham.ac.uk>
* Add PDG_TAUS analysis which makes use of the TauFinder.
* Add ATLAS 'traditional' Underlying Event in Z->mumu analysis (ATLAS_2014_I1315949).
2015-03-18 Andy Buckley <andy.buckley@cern.ch>
* Change UnstableFinalState duplicate resolution to use the last
in a chain rather than the first.
2015-03-17 Holger Schulz <holger.schulz@durham.ac.uk>
* Update Taufinder to use decaytyoe (can be HADRONIC, LEPTONIC or
ANY), in FastJet.cc --- set TauFinder mode to hadronic for tau-tagging
2015-03-16 Chris Pollard <cpollard@cern.ch>
* Removed fuzzyEquals() from Vector3::angle()
2015-03-16 Andy Buckley <andy.buckley@cern.ch>
* Adding Cuts-based constructor to PrimaryHadrons.
* Adding missing compare() method to HeavyHadrons projection.
2015-03-15 Chris Pollard <cpollard@cern.ch>
* Adding FinalPartons projection which selects the quarks and
gluons immediately before hadronization
2015-03-05 Andy Buckley <andy.buckley@cern.ch>
* Adding Cuts-based constructors and other tidying in UnstableFinalState and HeavyHadrons
2015-03-03 Andy Buckley <andy.buckley@cern.ch>
* Add support for a PLOT meta-file argument to rivet-cmphistos.
2015-02-27 Andy Buckley <andy.buckley@cern.ch>
* Improved time reporting.
2015-02-24 Andy Buckley <andy.buckley@cern.ch>
* Add Particle::fromHadron and Particle::fromPromptTau, and add a
boolean 'prompt' argument to Particle::fromTau.
* Fix WFinder use-transverse-mass property setting. Thanks to Christian Gutschow.
2015-02-04 Andy Buckley <andy.buckley@cern.ch>
* Add more protection against math domain errors with log axes.
* Add some protection against nan-valued points and error bars in make-plots.
2015-02-03 Andy Buckley <andy.buckley@cern.ch>
* Converting 'bitwise' to 'logical' Cuts combinations in all analyses.
2015-02-02 Andy Buckley <andy.buckley@cern.ch>
* Use vector MET rather than scalar VET (doh...) in WFinder
cut. Thanks to Ines Ochoa for the bug report.
* Updating and tidying analyses with deprecation warnings.
* Adding more Cuts/FS constructors for Charged,Neutral,UnstableFinalState.
* Add &&, || and ! operators for without-parens-warnings Cut
combining. Note these don't short-circuit, but this is ok since
Cut comparisons don't have side-effects.
* Add absetaIn, absrapIn Cut range definitions.
* Updating use of sorted particle/jet access methods and cmp
functors in projections and analyses.
2014-12-09 Andy Buckley <andy.buckley@cern.ch>
* Adding a --cmd arg to rivet-buildplugin to allow the output
paths to be sed'ed (to help deal with naive Grid
distribution). For example BUILDROOT=`rivet-config --prefix`;
rivet-buildplugin PHOTONS.cc --cmd | sed -e
"s:$BUILDROOT:$SITEROOT:g"
2014-11-26 Andy Buckley <andy.buckley@cern.ch>
* Interface improvements in DressedLeptons constructor.
* Adding DEPRECATED macro to throw compiler deprecation warnings when using deprecated features.
2014-11-25 Andy Buckley <andy.buckley@cern.ch>
* Adding Cut-based constructors, and various constructors with
lists of PDG codes to IdentifiedFinalState.
2014-11-20 Andy Buckley <andy.buckley@cern.ch>
* Analysis updates (ATLAS, CMS, CDF, D0) to apply the changes below.
* Adding JetAlg jets(Cut, Sorter) methods, and other interface
improvements for cut and sorted ParticleBase retrieval from JetAlg
and ParticleFinder projections. Some old many-doubles versions
removed, syntactic sugar sorting methods deprecated.
* Adding Cuts::Et and Cuts::ptIn, Cuts::etIn, Cuts::massIn.
* Moving FastJet includes, conversions, uses etc. into Tools/RivetFastJet.hh
2014-10-07 Andy Buckley <andy.buckley@cern.ch>
* Fix a bug in the isCharmHadron(pid) function and remove isStrange* functions.
2014-09-30 Andy Buckley <andy.buckley@cern.ch>
* 2.2.0 release!
* Mark Jet::containsBottom and Jet::containsCharm as deprecated
methods: use the new methods. Analyses updated.
* Add Jet::bTagged(), Jet::cTagged() and Jet::tauTagged() as
ghost-assoc-based replacements for the 'contains' tagging methods.
2014-09-17 Andy Buckley <andy.buckley@cern.ch>
* Adding support for 1D and 3D YODA scatters, and helper methods
for calling the efficiency, asymm and 2D histo divide functions.
2014-09-12 Andy Buckley <andy.buckley@cern.ch>
* Adding 5 new ATLAS analyses:
ATLAS_2011_I921594: Inclusive isolated prompt photon analysis with full 2010 LHC data
ATLAS_2013_I1263495: Inclusive isolated prompt photon analysis with 2011 LHC data
ATLAS_2014_I1279489: Measurements of electroweak production of dijets + $Z$ boson, and distributions sensitive to vector boson fusion
ATLAS_2014_I1282441: The differential production cross section of the $\phi(1020)$ meson in $\sqrt{s}=7$ TeV $pp$ collisions measured with the ATLAS detector
ATLAS_2014_I1298811: Leading jet underlying event at 7 TeV in ATLAS
* Adding a median(vector<NUM>) function and fixing the other stats
functions to operate on vector<NUM> rather than vector<int>.
2014-09-03 Andy Buckley <andy.buckley@cern.ch>
* Fix wrong behaviour of LorentzTransform with a null boost vector
-- thanks to Michael Grosse.
2014-08-26 Andy Buckley <andy.buckley@cern.ch>
* Add calc() methods to Hemispheres as requested, to allow it to
be used with Jet or FourMomentum inputs outside the normal
projection system.
2014-08-17 Andy Buckley <andy.buckley@cern.ch>
* Improvements to the particles methods on
ParticleFinder/FinalState, in particular adding the range of cuts
arguments cf. JetAlg (and tweaking the sorted jets equivalent) and
returning as a copy rather than a reference if cut/sorted to avoid
accidentally messing up the cached copy.
* Creating ParticleFinder projection base class, and moving
Particles-accessing methods from FinalState into it.
* Adding basic forms of MC_ELECTRONS, MC_MUONS, and MC_TAUS
analyses.
2014-08-15 Andy Buckley <andy.buckley@cern.ch>
* Version bump to 2.2.0beta1 for use at BOOST and MCnet school.
2014-08-13 Andy Buckley <andy.buckley@cern.ch>
* New analyses:
ATLAS_2014_I1268975 (high mass dijet cross-section at 7 TeV)
ATLAS_2014_I1304688 (jet multiplicity and pT at 7 TeV)
ATLAS_2014_I1307756 (scalar diphoton resonance search at 8 TeV -- no histograms!)
CMSTOTEM_2014_I1294140 (charged particle pseudorapidity at 8 TeV)
2014-08-09 Andy Buckley <andy.buckley@cern.ch>
* Adding PromptFinalState, based on code submitted by Alex
Grohsjean and Will Bell. Thanks!
2014-08-06 Andy Buckley <andy.buckley@cern.ch>
* Adding MC_HFJETS and MC_JETTAGS analyses.
2014-08-05 Andy Buckley <andy.buckley@cern.ch>
* Update all analyses to use the xMin/Max/Mid, xMean, xWidth,
etc. methods on YODA classes rather than the deprecated lowEdge
etc.
* Merge new HasPID functor from Holger Schulz into
Rivet/Tools/ParticleUtils.hh, mainly for use with the any()
function in Rivet/Tools/Utils.hh
2014-08-04 Andy Buckley <andy.buckley@cern.ch>
* Add ghost tagging of charms, bottoms and taus to FastJets, and
tag info accessors to Jet.
* Add constructors from and cast operators to FastJet's PseudoJet
object from Particle and Jet.
* Convert inRange to not use fuzzy comparisons on closed
intervals, providing old version as fuzzyInRange.
2014-07-30 Andy Buckley <andy.buckley@cern.ch>
* Remove classifier functions accepting a Particle from the PID
inner namespace.
2014-07-29 Andy Buckley <andy.buckley@cern.ch>
* MC_JetAnalysis.cc: re-enable +- ratios for eta and y, now that
YODA divide doesn't throw an exception.
* ATLAS_2012_I1093734: fix a loop index error which led to the
first bin value being unfilled for half the dphi plots.
* Fix accidental passing of a GenParticle pointer as a PID code
int in HeavyHadrons.cc. Effect limited to incorrect deductions
about excited HF decay chains and should be small. Thanks to
Tomasz Przedzinski for finding and reporting the issue during
HepMC3 design work!
2014-07-23 Andy Buckley <andy.buckley@cern.ch>
* Fix to logspace: make sure that start and end values are exact,
not the result of exp(log(x)).
2014-07-16 Andy Buckley <andy.buckley@cern.ch>
* Fix setting of library paths for doc building: Python can't
influence the dynamic loader in its own process by setting an
environment variable because the loader only looks at the variable
once, when it starts.
2014-07-02 Andy Buckley <andy.buckley@cern.ch>
* rivet-cmphistos now uses the generic yoda.read() function rather
than readYODA() -- AIDA files can also be compared and plotted
directly now.
2014-06-24 Andy Buckley <andy.buckley@cern.ch>
* Add stupid missing <string> include and std:: prefix in Rivet.hh
2014-06-20 Holger Schulz <hschulz@physik.hu-berlin.de>
* bin/make-plots: Automatic generation of minor xtick labels if LogX is requested
but data resides e.g. in [200, 700]. Fixes m_12 plots of, e.g.
ATLAS_2010_S8817804
2014-06-17 David Grellscheid <David.Grellscheid@durham.ac.uk>
* pyext/rivet/Makefile.am: 'make distcheck' and out-of-source
builds should work now.
2014-06-10 Andy Buckley <andy.buckley@cern.ch>
* Fix use of the install command for bash completion installation on Macs.
2014-06-07 Andy Buckley <andy.buckley@cern.ch>
* Removing direct includes of MathUtils.hh and others from analysis code files.
2014-06-02 Andy Buckley <andy.buckley@cern.ch>
* Rivet 2.1.2 release!
2014-05-30 Andy Buckley <andy.buckley@cern.ch>
* Using Particle absrap(), abseta() and abspid() where automatic conversion was feasible.
* Adding a few extra kinematics mappings to ParticleBase.
* Adding p3() accessors to the 3-momentum on FourMomentum, Particle, and Jet.
* Using Jet and Particle kinematics methods directly (without momentum()) where possible.
* More tweaks to make-plots 2D histo parsing behaviour.
2014-05-30 Holger Schulz <hschulz@physik.hu-berlin.de>
* Actually fill the XQ 2D histo, .plot decorations.
* Have make-plots produce colourmaps using YODA_3D_SCATTER
objects. Remove the grid in colourmaps.
* Some tweaks for the SFM analysis, trying to contact Martin Wunsch
who did the unfolding back then.
2014-05-29 Holger Schulz <hschulz@physik.hu-berlin.de>
* Re-enable 2D histo in MC_PDFS
2014-05-28 Andy Buckley <andy.buckley@cern.ch>
* Updating analysis and project routines to use Particle::pid() by
preference to Particle::pdgId(), and Particle::abspid() by
preference to abs(Particle::pdgId()), etc.
* Adding interfacing of smart pointer types and booking etc. for
YODA 2D histograms and profiles.
* Improving ParticleIdUtils and ParticleUtils functions based on
merging of improved function collections from MCUtils, and
dropping the compiled ParticleIdUtils.cc file.
2014-05-27 Andy Buckley <andy.buckley@cern.ch>
* Adding CMS_2012_I1090423 (dijet angular distributions),
CMS_2013_I1256943 (Zbb xsec and angular correlations),
CMS_2013_I1261026 (jet and UE properties vs. Nch) and
D0_2000_I499943 (bbbar production xsec and angular correlations).
2014-05-26 Andy Buckley <andy.buckley@cern.ch>
* Fixing a bug in plot file handling, and adding a texpand()
routine to rivet.util, to be used to expand some 'standard'
physics TeX macros.
* Adding ATLAS_2012_I1124167 (min bias event shapes),
ATLAS_2012_I1203852 (ZZ cross-section), and ATLAS_2013_I1190187
(WW cross-section) analyses.
2014-05-16 Andy Buckley <andy.buckley@cern.ch>
* Adding any(iterable, fn) and all(iterable, fn) template functions for convenience.
2014-05-15 Holger Schulz <holger.schulz@cern.ch>
* Fix some bugs in identified hadron PIDs in OPAL_1998_S3749908.
2014-05-13 Andy Buckley <andy.buckley@cern.ch>
* Writing out [UNVALIDATED], [PRELIMINARY], etc. in the
--list-analyses output if analysis is not VALIDATED.
2014-05-12 Andy Buckley <andy.buckley@cern.ch>
* Adding CMS_2013_I1265659 colour coherence analysis.
2014-05-07 Andy Buckley <andy.buckley@cern.ch>
* Bug fixes in CMS_2013_I1209721 from Giulio Lenzi.
* Fixing compiler warnings from clang, including one which
indicated a misapplied cut bug in CDF_2006_S6653332.
2014-05-05 Andy Buckley <andy.buckley@cern.ch>
* Fix missing abs() in Particle::abspid()!!!!
2014-04-14 Andy Buckley <andy.buckley@cern.ch>
* Adding the namespace protection workaround for Boost described
at http://www.boost.org/doc/libs/1_55_0/doc/html/foreach.html
2014-04-13 Andy Buckley <andy.buckley@cern.ch>
* Adding a rivet.pc template file and installation rule for pkg-config to use.
* Updating data/refdata/ALEPH_2001_S4656318.yoda to corrected version in HepData.
2014-03-27 Andy Buckley <andy.buckley@cern.ch>
* Flattening PNG output of make-plots (i.e. no transparency) and other tweaks.
2014-03-23 Andy Buckley <andy.buckley@cern.ch>
* Renaming the internal meta-particle class in DressedLeptons (and
exposed in the W/ZFinders) from ClusteredLepton to DressedLepton
for consistency with the change in name of its containing class.
* Removing need for cmake and unportable yaml-cpp trickery by
using libtool to build an embedded symbol-mangled copy of yaml-cpp
rather than trying to mangle and build direct from the tarball.
2014-03-10 Andy Buckley <andy.buckley@cern.ch>
* Rivet 2.1.1 release.
2014-03-07 Andy Buckley <andy.buckley@cern.ch>
* Adding ATLAS multilepton search (no ref data file), ATLAS_2012_I1204447.
2014-03-05 Andy Buckley <andy.buckley@cern.ch>
* Also renaming Breit-Wigner functions to cdfBW, invcdfBW and bwspace.
* Renaming index_between() to the more Rivety binIndex(), since that's the only real use of such a function... plus a bit of SFINAE type relaxation trickery.
2014-03-04 Andy Buckley <andy.buckley@cern.ch>
* Adding programmatic access to final histograms via AnalysisHandler::getData().
* Adding CMS 4 jet correlations analysis, CMS_2013_I1273574.
* Adding CMS W + 2 jet double parton scattering analysis, CMS_2013_I1272853.
* Adding ATLAS isolated diphoton measurement, ATLAS_2012_I1199269.
* Improving the index_between function so the numeric types don't
have to exactly match.
* Adding better momentum comparison functors and sortBy, sortByX
functions to use them easily on containers of Particle, Jet, and
FourMomentum.
2014-02-10 Andy Buckley <andy.buckley@cern.ch>
* Removing duplicate and unused ParticleBase sorting functors.
* Removing unused HT increment and units in ATLAS_2012_I1180197 (unvalidated SUSY).
* Fixing photon isolation logic bug in CMS_2013_I1258128 (Z rapidity).
* Replacing internal uses of #include Rivet/Rivet.hh with
Rivet/Config/RivetCommon.hh, removing the MAXRAPIDITY const, and
repurposing Rivet/Rivet.hh as a convenience include for external
API users.
* Adding isStable, children, allDescendants, stableDescendants,
and flightLength functions to Particle.
* Replacing Particle and Jet deltaX functions with generic ones on
ParticleBase, and adding deltaRap variants.
* Adding a Jet.fhh forward declaration header, including fastjet::PseudoJet.
* Adding a RivetCommon.hh header to allow Rivet.hh to be used externally.
* Fixing HeavyHadrons to apply pT cuts if specified.
2014-02-06 Andy Buckley <andy.buckley@cern.ch>
* 2.1.0 release!
2014-02-05 Andy Buckley <andy.buckley@cern.ch>
* Protect against invalid prefix value if the --prefix configure option is unused.
2014-02-03 Andy Buckley <andy.buckley@cern.ch>
* Adding the ATLAS_2012_I1093734 fwd-bwd / azimuthal minbias correlations analysis.
* Adding the LHCB_2013_I1208105 forward energy flow analysis.
2014-01-31 Andy Buckley <andy.buckley@cern.ch>
* Checking the YODA minimum version in the configure script.
* Fixing the JADE_OPAL analysis ycut values to the midpoints,
thanks to information from Christoph Pahl / Stefan Kluth.
2014-01-29 Andy Buckley <andy.buckley@cern.ch>
* Removing unused/overrestrictive Isolation* headers.
2014-01-27 Andy Buckley <andy.buckley@cern.ch>
* Re-bundling yaml-cpp, now built as a mangled static lib based on
the LHAPDF6 experience.
* Throw a UserError rather than an assert if AnalysisHandler::init
is called more than once.
2014-01-25 David Grellscheid <david.grellscheid@durham.ac.uk>
* src/Core/Cuts.cc: New Cuts machinery, already used in FinalState.
Old-style "mineta, maxeta, minpt" constructors kept around for ease of
transition. Minimal set of convenience functions available, like EtaIn(),
should be expanded as needed.
2014-01-22 Andy Buckley <andy.buckley@cern.ch>
* configure.ac: Remove opportunistic C++11 build, until this
becomes mandatory (in version 2.2.0?). Anyone who wants C++11 can
explicitly set the CXXFLAGS (and DYLDFLAGS for pre-Mavericks Macs)
2014-01-21 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* src/Core/Analysis.cc: Fixed bug in Analysis::isCompatible where
an 'abs' was left out when checking that beam energes does not
differ by more than 1GeV.
* src/Analyses/CMS_2011_S8978280.cc: Fixed checking of beam energy
and booking corresponding histograms.
2013-12-19 Andy Buckley <andy.buckley@cern.ch>
* Adding pid() and abspid() methods to Particle.
* Adding hasCharm and hasBottom methods to Particle.
* Adding a sorting functor arg version of the ZFinder::constituents() method.
* Adding pTmin cut accessors to HeavyHadrons.
* Tweak to the WFinder constructor to place the target W (trans) mass argument last.
2013-12-18 Andy Buckley <andy.buckley@cern.ch>
* Adding a GenParticle* cast operator to Particle, removing the
Particle and Jet copies of the momentum cmp functors, and general
tidying/improvement/unification of the momentum properties of jets
and particles.
2013-12-17 Andy Buckley <andy.buckley@cern.ch>
* Using SFINAE techniques to improve the math util functions.
* Adding isNeutrino to ParticleIdUtils, and
isHadron/isMeson/isBaryon/isLepton/isNeutrino methods to Particle.
* Adding a FourMomentum cast operator to ParticleBase, so that
Particle and Jet objects can be used directly as FourMomentums.
2013-12-16 Andy Buckley <andy@duality>
* LeptonClusters renamed to DressedLeptons.
* Adding singular particle accessor functions to WFinder and ZFinder.
* Removing ClusteredPhotons and converting ATLAS_2010_S8919674.
2013-12-12 Andy Buckley <andy.buckley@cern.ch>
* Fixing a problem with --disable-analyses (thanks to David Hall)
* Require FastJet version 3.
* Bumped version to 2.1.0a0
* Adding -DNDEBUG to the default build flags, unless in --enable-debug mode.
* Adding a special treatment of RIVET_*_PATH variables: if they
end in :: the default search paths will not be appended. Used
primarily to restrict the doc builds to look only inside the build
dirs, but potentially also useful in other special circumstances.
* Adding a definition of exec_prefix to rivet-buildplugin.
* Adding -DNDEBUG to the default non-debug build flags.
2013-11-27 Andy Buckley <andy.buckley@cern.ch>
* Removing accidentally still-present no-as-needed linker flag from rivet-config.
* Lots of analysis clean-up and migration to use new features and W/Z finder APIs.
* More momentum method forwarding on ParticleBase and adding
abseta(), absrap() etc. functions.
* Adding the DEFAULT_RIVET_ANA_CONSTRUCTOR cosmetic macro.
* Adding deltaRap() etc. function variations
* Adding no-decay photon clustering option to WFinder and ZFinder,
and replacing opaque bool args with enums.
* Adding an option for ignoring photons from hadron/tau decays in LeptonClusters.
2013-11-22 Andy Buckley <andy.buckley@cern.ch>
* Adding Particle::fromBottom/Charm/Tau() members. LHCb were
aready mocking this up, so it seemed sensible to add it to the
interface as a more popular (and even less dangerous) version of
hasAncestor().
* Adding an empty() member to the JetAlg interface.
2013-11-07 Andy Buckley <andy.buckley@cern.ch>
* Adding the GSL lib path to the library path in the env scripts
and the rivet-config --ldflags output.
2013-10-25 Andy Buckley <andy.buckley@cern.ch>
* 2.0.0 release!!!!!!
2013-10-24 Andy Buckley <andy.buckley@cern.ch>
* Supporting zsh completion via bash completion compatibility.
2013-10-22 Andy Buckley <andy.buckley@cern.ch>
* Updating the manual to describe YODA rather than AIDA and the new rivet-cmphistos script.
* bin/make-plots: Adding paths to error messages in histogram combination.
* CDF_2005_S6217184: fixes to low stats errors and final scatter plot binning.
2013-10-21 Andy Buckley <andy.buckley@cern.ch>
* Several small fixes in jet shape analyses, SFM_1984, etc. found
in the last H++ validation run.
2013-10-18 Andy Buckley <andy.buckley@cern.ch>
* Updates to configure and the rivetenv scripts to try harder to discover YODA.
2013-09-26 Andy Buckley <andy.buckley@cern.ch>
* Now bundling Cython-generated files in the tarballs, so Cython
is not a build requirement for non-developers.
2013-09-24 Andy Buckley <andy.buckley@cern.ch>
* Removing unnecessary uses of a momentum() indirection when
accessing kinematic variables.
* Clean-up in Jet, Particle, and ParticleBase, in particular
splitting PID functions on Particle from those on PID codes, and
adding convenience kinematic functions to ParticleBase.
2013-09-23 Andy Buckley <andy.buckley@cern.ch>
* Add the -avoid-version flag to libtool.
* Final analysis histogramming issues resolved.
2013-08-16 Andy Buckley <andy.buckley@cern.ch>
* Adding a ConnectBins flag in make-plots, to decide whether to
connect adjacent, gapless bins with a vertical line. Enabled by
default (good for the step-histo default look of MC lines), but
now rivet-cmphistos disables it for the reference data.
2013-08-14 Andy Buckley <andy.buckley@cern.ch>
* Making 2.0.0beta3 -- just a few remaining analysis migration
issues remaining but it's worth making another beta since there
were lots of framework fixes/improvements.
2013-08-11 Andy Buckley <andy.buckley@cern.ch>
* ARGUS_1993_S2669951 also fixed using scatter autobooking.
* Fixing remaining issues with booking in BABAR_2007_S7266081
using the feature below (far nicer than hard-coding).
* Adding a copy_pts param to some Analysis::bookScatter2D methods:
pre-setting the points with x values is sometimes genuinely
useful.
2013-07-26 Andy Buckley <andy.buckley@cern.ch>
* Removed the (officially) obsolete CDF 2008 LEADINGJETS and
NOTE_9351 underlying event analyses -- superseded by the proper
versions of these analyses based on the final combined paper.
* Removed the semi-demo Multiplicity projection -- only the
EXAMPLE analysis and the trivial ALEPH_1991_S2435284 needed
adaptation.
2013-07-24 Andy Buckley <andy.buckley@cern.ch>
* Adding a rejection of histo paths containing /TMP/ from the
writeData function. Use this to handle booked temporary
histograms... for now.
2013-07-23 Andy Buckley <andy.buckley@cern.ch>
* Make rivet-cmphistos _not_ draw a ratio plot if there is only one line.
* Improvements and fixes to HepData lookup with rivet-mkanalysis.
2013-07-22 Andy Buckley <andy.buckley@cern.ch>
* Add -std=c++11 or -std=c++0x to the Rivet compiler flags if supported.
* Various fixes to analyses with non-zero numerical diffs.
2013-06-12 Andy Buckley <andy.buckley@cern.ch>
* Adding a new HeavyHadrons projection.
* Adding optional extra include_end args to logspace() and linspace().
2013-06-11 Andy Buckley <andy.buckley@cern.ch>
* Moving Rivet/RivetXXX.hh tools headers into Rivet/Tools/.
* Adding PrimaryHadrons projection.
* Adding particles_in/out functions on GenParticle to RivetHepMC.
* Moved STL extensions from Utils.hh to RivetSTL.hh and tidying.
* Tidying, improving, extending, and documenting in RivetSTL.hh.
* Adding a #include of Logging.hh into Projection.hh, and removing
unnecessary #includes from all Projection headers.
2013-06-10 Andy Buckley <andy.buckley@cern.ch>
* Moving htmlify() and detex() Python functions into rivet.util.
* Add HepData URL for Inspire ID lookup to the rivet script.
* Fix analyses' info files which accidentally listed the Inspire
ID under the SpiresID metadata key.
2013-06-07 Andy Buckley <andy.buckley@cern.ch>
* Updating mk-analysis-html script to produce MathJax output
* Adding a version of Analysis::removeAnalysisObject() which takes
an AO pointer as its argument.
* bin/rivet: Adding pandoc-based conversion of TeX summary and
description strings to plain text on the terminal output.
* Add MathJax to rivet-mkhtml output, set up so the .info entries should render ok.
* Mark the OPAL 1993 analysis as UNVALIDATED: from the H++
benchmark runs it looks nothing like the data, and there are some
outstanding ambiguities.
2013-06-06 Andy Buckley <andy.buckley@cern.ch>
* Releasing 2.0.0b2 beta version.
2013-06-05 Andy Buckley <andy.buckley@cern.ch>
* Renaming Analysis::add() etc. to very explicit
addAnalysisObject(), sorting out shared_pointer polymorphism
issues via the Boost dynamic_pointer_cast, and adding a full set
of getHisto1D(), etc. explicitly named and typed accessors,
including ones with HepData dataset/axis ID signatures.
* Adding histo booking from an explicit reference Scatter2D (and
more placeholders for 2D histos / 3D scatters) and rewriting
existing autobooking to use this.
* Converting inappropriate uses of size_t to unsigned int in Analysis.
* Moving Analysis::addPlot to Analysis::add() (or reg()?) and
adding get() and remove() (or unreg()?)
* Fixing attempted abstraction of import fallbacks in rivet.util.import_ET().
* Removing broken attempt at histoDir() caching which led to all
histograms being registered under the same analysis name.
2013-06-04 Andy Buckley <andy.buckley@cern.ch>
* Updating the Cython version requirement to 0.18
* Adding Analysis::integrate() functions and tidying the Analysis.hh file a bit.
2013-06-03 Andy Buckley <andy.buckley@cern.ch>
* Adding explicit protection against using inf/nan scalefactors in
ATLAS_2011_S9131140 and H1_2000_S4129130.
* Making Analysis::scale noisly complain about invalid
scalefactors.
2013-05-31 Andy Buckley <andy.buckley@cern.ch>
* Reducing the TeX main memory to ~500MB. Turns out that it *can*
be too large with new versions of TeXLive!
2013-05-30 Andy Buckley <andy.buckley@cern.ch>
* Reverting bookScatter2D behaviour to never look at ref data, and
updating a few affected analyses. This should fix some bugs with
doubled datapoints introduced by the previous behaviour+addPoint.
* Adding a couple of minor Utils.hh and MathUtils.hh features.
2013-05-29 Andy Buckley <andy.buckley@cern.ch>
* Removing Constraints.hh header.
* Minor bugfixes and improvements in Scatter2D booking and MC_JetAnalysis.
2013-05-28 Andy Buckley <andy.buckley@cern.ch>
* Removing defunct HistoFormat.hh and HistoHandler.{hh,cc}
2013-05-27 Andy Buckley <andy.buckley@cern.ch>
* Removing includes of Logging.hh, RivetYODA.hh, and
ParticleIdUtils.hh from analyses (and adding an include of
ParticleIdUtils.hh to Analysis.hh)
* Removing now-unused .fhh files.
* Removing lots of unnecessary .fhh includes from core classes:
everything still compiling ok. A good opportunity to tidy this up
before the release.
* Moving the rivet-completion script from the data dir to bin (the
completion is for scripts in bin, and this makes development
easier).
* Updating bash completion scripts for YODA format and
compare-histos -> rivet-cmphistos.
2013-05-23 Andy Buckley <andy.buckley@cern.ch>
* Adding Doxy comments and a couple of useful convenience functions to Utils.hh.
* Final tweaks to ATLAS ttbar jet veto analysis (checked logic with Kiran Joshi).
2013-05-15 Andy Buckley <andy.buckley@cern.ch>
* Many 1.0 -> weight bugfixes in ATLAS_2011_I945498.
* yaml-cpp v3 support re-introduced in .info parsing.
* Lots of analysis clean-ups for YODA TODO issues.
2013-05-13 Andy Buckley <andy.buckley@cern.ch>
* Analysis histo booking improvements for Scatter2D, placeholders
for 2D histos, and general tidying.
2013-05-12 Andy Buckley <andy.buckley@cern.ch>
* Adding configure-time differentiation between yaml-cpp API versions 3 and 5.
2013-05-07 Andy Buckley <andy.buckley@cern.ch>
* Converting info file reading to use the yaml-cpp 0.5.x API.
2013-04-12 Andy Buckley <andy.buckley@cern.ch>
* Tagging as 2.0.0b1
2013-04-04 Andy Buckley <andy.buckley@cern.ch>
* Removing bundling of yaml-cpp: it needs to be installed by the
user / bootstrap script from now on.
2013-04-03 Andy Buckley <andy.buckley@cern.ch>
* Removing svn:external m4 directory, and converting Boost
detection to use better boost.m4 macros.
2013-03-22 Andy Buckley <andy.buckley@cern.ch>
* Moving PID consts to the PID namespace and corresponding code
updates and opportunistic clean-ups.
* Adding Particle::fromDecay() method.
2013-03-09 Andy Buckley <andy.buckley@cern.ch>
* Version bump to 2.0.0b1 in anticipation of first beta release.
* Adding many more 'popular' particle ID code named-consts and
aliases, and updating the RapScheme enum with ETA -> ETARAP, and
fixing affected analyses (plus other opportunistic tidying / minor
bug-fixing).
* Fixing a symbol misnaming in ATLAS_2012_I1119557.
2013-03-07 Andy Buckley <andy.buckley@cern.ch>
* Renaming existing uses of ParticleVector to the new 'Particles' type.
* Updating util classes, projections, and analyses to deal with
the HepMC return value changes.
* Adding new Particle(const GenParticle*) constructor.
* Converting Particle::genParticle() to return a const pointer
rather than a reference, for the same reason as below (+
consistency within Rivet and with the HepMC pointer-centric coding
design).
* Converting Event to use a different implementation of original
and modified GenParticles, and to manage the memory in a more
future-proof way. Event::genParticle() now returns a const pointer
rather than a reference, to signal that the user is leaving the
happy pastures of 'normal' Rivet behind.
* Adding a Particles typedef by analogy to Jets, and in preference
to the cumbersome ParticleVector.
* bin/: Lots of tidying/pruning of messy/defunct scripts.
* Creating spiresbib, util, and plotinfo rivet python module
submodules: this eliminates lighthisto and the standalone
spiresbib modules. Util contains convenience functions for Python
version testing, clean ElementTree import, and process renaming,
for primary use by the rivet-* scripts.
* Removing defunct scripts that have been replaced/obsoleted by YODA.
2013-03-06 Andy Buckley <andy.buckley@cern.ch>
* Fixing doc build so that the reference histos and titles are
~correctly documented. We may want to truncate some of the lists!
2013-03-06 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added ATLAS_2012_I1125575 analysis
* Converted rivet-mkhtml to yoda
* Introduced rivet-cmphistos as yoda based replacement for compare-histos
2013-03-05 Andy Buckley <andy.buckley@cern.ch>
* Replacing all AIDA ref data with YODA versions.
* Fixing the histograms entries in the documentation to be
tolerant to plotinfo loading failures.
* Making the findDatafile() function primarily find YODA data
files, then fall back to AIDA. The ref data loader will use the
appropriate YODA format reader.
2013-02-05 David Grellscheid <David.Grellscheid@durham.ac.uk>
* include/Rivet/Math/MathUtils.hh: added BWspace bin edge method
to give equal-area Breit-Wigner bins
2013-02-01 Andy Buckley <andy.buckley@cern.ch>
* Adding an element to the PhiMapping enum and a new mapAngle(angle, mapping) function.
* Fixes to Vector3::azimuthalAngle and Vector3::polarAngle calculation (using the mapAngle functions).
2013-01-25 Frank Siegert <frank.siegert@cern.ch>
* Split MC_*JETS analyses into three separate bits:
MC_*INC (inclusive properties)
MC_*JETS (jet properties)
MC_*KTSPLITTINGS (kT splitting scales).
2013-01-22 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fix TeX variable in the rivetenv scripts, especially for csh
2012-12-21 Andy Buckley <andy.buckley@cern.ch>
* Version 1.8.2 release!
2012-12-20 Andy Buckley <andy.buckley@cern.ch>
* Adding ATLAS_2012_I1119557 analysis (from Roman Lysak and Lily Asquith).
2012-12-18 Andy Buckley <andy.buckley@cern.ch>
* Adding TOTEM_2012_002 analysis, from Sercan Sen.
2012-12-18 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added CMS_2011_I954992 analysis
2012-12-17 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added CMS_2012_I1193338 analysis
* Fixed xi cut in ATLAS_2011_I894867
2012-12-17 Andy Buckley <andy.buckley@cern.ch>
* Adding analysis descriptions to the HTML analysis page ToC.
2012-12-14 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added CMS_2012_PAS_FWD_11_003 analysis
* Added LHCB_2012_I1119400 analysis
2012-12-12 Andy Buckley <andy.buckley@cern.ch>
* Correction to jet acceptance in CMS_2011_S9120041, from Sercan Sen: thanks!
2012-12-12 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added CMS_2012_PAS_QCD_11_010 analysis
2012-12-07 Andy Buckley <andy.buckley@cern.ch>
* Version number bump to 1.8.2 -- release approaching.
* Rewrite of ALICE_2012_I1181770 analysis to make it a bit more sane and acceptable.
* Adding a note on FourVector and FourMomentum that operator- and
operator-= invert both the space and time components: use of -=
can result in a vector with negative energy.
* Adding particlesByRapidity and particlesByAbsRapidity to FinalState.
2012-12-07 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added ALICE_2012_I1181770 analysis
* Bump version to 1.8.2
2012-12-06 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added ATLAS_2012_I1188891 analysis
* Added ATLAS_2012_I1118269 analysis
* Added CMS_2012_I1184941 analysis
* Added LHCB_2010_I867355 analysis
* Added TGraphErrors support to root2flat
2012-11-27 Andy Buckley <andy.buckley@cern.ch>
* Converting CMS_2012_I1102908 analysis to use YODA.
* Adding XLabel and YLabel setting in histo/profile/scatter booking.
2012-11-27 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fix make-plots png creation for SL5
2012-11-23 Peter Richardson <peter.richardson@durham.ac.uk>
* Added ATLAS_2012_CONF_2012_153 4-lepton SUSY search
2012-11-17 Andy Buckley <andy.buckley@cern.ch>
* Adding MC_PHOTONS by Steve Lloyd and AB, for testing general
unisolated photon properties, especially those associated with
charged leptons (e and mu).
2012-11-16 Andy Buckley <andy.buckley@cern.ch>
* Adding MC_PRINTEVENT, a convenient (but verbose!) analysis for
printing out event details to stdout.
2012-11-15 Andy Buckley <andy.buckley@cern.ch>
* Removing the long-unused/defunct autopackage system.
2012-11-15 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added LHCF_2012_I1115479 analysis
* Added ATLAS_2011_I894867 analysis
2012-11-14 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added CMS_2012_I1102908 analysis
2012-11-14 Andy Buckley <andy.buckley@cern.ch>
* Converting the argument order of logspace, clarifying the
arguments, updating affected code, and removing Analysis::logBinEdges.
* Merging updates from the AIDA maintenance branch up to r4002
(latest revision for next merges is r4009).
2012-11-11 Andy Buckley <andy.buckley@cern.ch>
* include/Math/: Various numerical fixes to Vector3::angle and
changing the 4 vector mass treatment to permit spacelike
virtualities (in some cases even the fuzzy isZero assert check was
being violated). The angle check allows a clean-up of some
workaround code in MC_VH2BB.
2012-10-15 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added CMS_2012_I1107658 analysis
2012-10-11 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added CDF_2012_NOTE10874 analysis
2012-10-04 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added ATLAS_2012_I1183818 analysis
2012-07-17 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Cleanup and multiple fixes in CMS_2011_S9120041
* Bugfixed in ALEPH_2004_S5765862 and ATLAS_2010_CONF_2010_049
(thanks to Anil Pratap)
2012-08-09 Andy Buckley <andy.buckley@cern.ch>
* Fixing aida2root command-line help message and converting to TH*
rather than TGraph by default.
2012-07-24 Andy Buckley <andy.buckley@cern.ch>
* Improvements/migrations to rivet-mkhtml, rivet-mkanalysis, and
rivet-buildplugin.
2012-07-17 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Add CMS_2012_I1087342
2012-07-12 Andy Buckley <andy.buckley@cern.ch>
* Fix rivet-mkanalysis a bit for YODA compatibility.
2012-07-05 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Version 1.8.1!
2012-07-05 Holger Schulz <holger.schulz@physik.hu-berlin.de>
* Add ATLAS_2011_I945498
2012-07-03 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Bugfix for transverse mass (thanks to Gavin Hesketh)
2012-06-29 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Merge YODA branch into trunk. YODA is alive!!!!!!
2012-06-26 Holger Schulz <holger.schulz@physik.hu-berlin.de>
* Add ATLAS_2012_I1091481
2012-06-20 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added D0_2011_I895662: 3-jet mass
2012-04-24 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* fixed a few bugs in rivet-rmgaps
* Added new TOTEM dN/deta analysis
2012-03-19 Andy Buckley <andy.buckley@cern.ch>
* Version 1.8.0!
* src/Projections/UnstableFinalState.cc: Fix compiler warning.
* Version bump for testing: 1.8.0beta1.
* src/Core/AnalysisInfo.cc: Add printout of YAML parser exception error messages to aid debugging.
* bin/Makefile.am: Attempt to fix rivet-nopy build on SLC5.
* src/Analyses/LHCB_2010_S8758301.cc: Add two missing entries to the PDGID -> lifetime map.
* src/Projections/UnstableFinalState.cc: Extend list of vetoed particles to include reggeons.
2012-03-16 Andy Buckley <andy.buckley@cern.ch>
* Version change to 1.8.0beta0 -- nearly ready for long-awaited release!
* pyext/setup.py.in: Adding handling for the YAML library: fix for
Genser build from Anton Karneyeu.
* src/Analyses/LHCB_2011_I917009.cc: Hiding lifetime-lookup error
message if the offending particle is not a hadron.
* include/Rivet/Math/MathHeader.hh: Using unnamespaced std::isnan
and std::isinf as standard.
2012-03-16 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Improve default plot behaviour for 2D histograms
2012-03-15 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Make ATLAS_2012_I1084540 less verbose, and general code
cleanup of that analysis.
* New-style plugin hook in ATLAS_2011_I926145,
ATLAS_2011_I944826 and ATLAS_2012_I1084540
* Fix compiler warnings in ATLAS_2011_I944826 and CMS_2011_S8973270
* CMS_2011_S8941262: Weights are double, not int.
* disable inRange() tests in test/testMath.cc until we have a proper
fix for the compiler warnings we see on SL5.
2012-03-07 Andy Buckley <andy.buckley@cern.ch>
* Marking ATLAS_2011_I919017 as VALIDATED (this should have
happened a long time ago) and adding more references.
2012-02-28 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* lighthisto.py: Caching for re.compile(). This speeds up aida2flat
and flat2aida by more than an order of magnitude.
2012-02-27 Andy Buckley <andy.buckley@cern.ch>
* doc/mk-analysis-html: Adding more LaTeX/text -> HTML conversion
replacements, including better <,> handling.
2012-02-26 Andy Buckley <andy.buckley@cern.ch>
* Adding CMS_2011_S8973270, CMS_2011_S8941262, CMS_2011_S9215166,
CMS_QCD_10_024, from CMS.
* Adding LHCB_2011_I917009 analysis, from Alex Grecu.
* src/Core/Analysis.cc, include/Rivet/Analysis.hh: Add a numeric-arg version of histoPath().
2012-02-24 Holger Schulz <holger.schulz@physik.hu-berlin.de>
* Adding ATLAS Ks/Lambda analysis.
2012-02-20 Andy Buckley <andy.buckley@cern.ch>
* src/Analyses/ATLAS_2011_I925932.cc: Using new overflow-aware
normalize() in place of counters and scale(..., 1/count)
2012-02-14 Andy Buckley <andy.buckley@cern.ch>
* Splitting MC_GENERIC to put the PDF and PID plotting into
MC_PDFS and MC_IDENTIFIED respectively.
* Renaming MC_LEADINGJETS to MC_LEADJETUE.
2012-02-14 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* DELPHI_1996_S3430090 and ALEPH_1996_S3486095:
fix rapidity vs {Thrust,Sphericity}-axis.
2012-02-14 Andy Buckley <andy.buckley@cern.ch>
* bin/compare-histos: Don't attempt to remove bins from MC histos
where they aren't found in the ref file, if the ref file is not
expt data, or if the new --no-rmgapbins arg is given.
* bin/rivet: Remove the conversion of requested analysis names to
upper-case: mixed-case analysis names will now work.
2012-02-14 Frank Siegert <frank.siegert@cern.ch>
* Bugfixes and improvements for MC_TTBAR:
- Avoid assert failure with logspace starting at 0.0
- Ignore charged lepton in jet finding (otherwise jet multi is always
+1).
- Add some dR/deta/dphi distributions as noted in TODO
- Change pT plots to logspace as well (to avoid low-stat high pT bins)
2012-02-10 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* rivet-mkhtml -c option now has the semantics of a .plot
file. The contents are appended to the dat output by
compare-histos.
2012-02-09 David Grellscheid <david.grellscheid@durham.ac.uk>
* Fixed broken UnstableFS behaviour
2012-01-25 Frank Siegert <frank.siegert@cern.ch>
* Improvements in make-plots:
- Add PlotTickLabels and RatioPlotTickLabels options (cf.
make-plots.txt)
- Make ErrorBars and ErrorBands non-exclusive (and change
their order, such that Bars are on top of Bands)
2012-01-25 Holger Schulz <holger.schulz@physik.hu-berlin.de>
* Add ATLAS diffractive gap analysis
2012-01-23 Andy Buckley <andy.buckley@cern.ch>
* bin/rivet: When using --list-analyses, the analysis summary is
now printed out when log level is <= INFO, rather than < INFO.
The effect on command line behaviour is that useful identifying
info is now printed by default when using --list-analyses, rather
than requiring --list-analyses -v. To get the old behaviour,
e.g. if using the output of rivet --list-analyses for scripting,
now use --list-analyses -q.
2012-01-22 Andy Buckley <andy.buckley@cern.ch>
* Tidying lighthisto, including fixing the order in which +- error
values are passed to the Bin constructor in fromFlatHisto.
2012-01-16 Frank Siegert <frank.siegert@cern.ch>
* Bugfix in ATLAS_2012_I1083318: Include non-signal neutrinos in
jet clustering.
* Add first version of ATLAS_2012_I1083318 (W+jets). Still
UNVALIDATED until final happiness with validation plots arises and
data is in Hepdata.
* Bugfix in ATLAS_2010_S8919674: Really use neutrino with highest
pT for Etmiss. Doesn't seem to make very much difference, but is
more correct in principle.
2012-01-16 Peter Richardson <peter.richardson@durham.ac.uk>
* Fixes to ATLAS_20111_S9225137 to include reference data
2012-01-13 Holger Schulz <holger.schulz@physik.hu-berlin.de>
* Add ATLAS inclusive lepton analysis
2012-01-12 Hendrik Hoeth <hendrik.hoeth@durham.ac.uk>
* Font selection support in rivet-mkhtml
2012-01-11 Peter Richardson <peter.richardson@durham.ac.uk>
* Added pi0 to list of particles.
2012-01-11 Andy Buckley <andy.buckley@cern.ch>
* Removing references to Boost random numbers.
2011-12-30 Andy Buckley <andy.buckley@cern.ch>
* Adding a placeholder rivet-which script (not currently
installed).
* Tweaking to avoid a very time-consuming debug printout in
compare-histos with the -v flag, and modifying the Rivet env vars
in rivet-mkhtml before calling compare-histos to eliminate
problems induced by relative paths (i.e. "." does not mean the
same thing when the directory is changed within the script).
2011-12-12 Andy Buckley <andy.buckley@cern.ch>
* Adding a command line completion function for rivet-mkhtml.
2011-12-12 Frank Siegert <frank.siegert@cern.ch>
* Fix for factor of 2.0 in normalisation of CMS_2011_S9086218
* Add --ignore-missing option to rivet-mkhtml to ignore non-existing
AIDA files.
2011-12-06 Andy Buckley <andy.buckley@cern.ch>
* Include underflow and overflow bins in the normalisation when
calling Analysis::normalise(h)
2011-11-23 Andy Buckley <andy.buckley@cern.ch>
* Bumping version to 1.8.0alpha0 since the Jet interface changes
are quite a major break with backward compatibility (although the
vast majority of analyses should be unaffected).
* Removing crufty legacy stuff from the Jet class -- there is
never any ambiguity between whether Particle or FourMomentum
objects are the constituents now, and the jet 4-momentum is set
explicitly by the jet alg so that e.g. there is no mismatch if the
FastJet pt recombination scheme is used.
* Adding default do-nothing implementations of Analysis::init()
and Analysis::finalize(), since it is possible for analysis
implementations to not need to do anything in these methods, and
forcing analysis authors to write do-nothing boilerplate code is
not "the Rivet way"!
2011-11-19 Andy Buckley <andy.buckley@cern.ch>
* Adding variant constructors to FastJets with a more natural
Plugin* argument, and decrufting the constructor implementations a
bit.
* bin/rivet: Adding a more helpful error message if the rivet
module can't be loaded, grouping the option parser options,
removing the -A option (this just doesn't seem useful anymore),
and providing a --pwd option as a shortcut to append "." to the
search path.
2011-11-18 Andy Buckley <andy.buckley@cern.ch>
* Adding a guide to compiling a new analysis template to the
output message of rivet-mkanalysis.
2011-11-11 Andy Buckley <andy.buckley@cern.ch>
* Version 1.7.0 release!
* Protecting the OPAL 2004 analysis against NaNs in the
hemispheres projection -- I can't track the origin of these and
suspect some occasional memory corruption.
2011-11-09 Andy Buckley <andy@insectnation.org>
* Renaming source files for EXAMPLE and
PDG_HADRON_MULTIPLICITIES(_RATIOS) analyses to match the analysis
names.
* Cosmetic fixes in ATLAS_2011_S9212183 SUSY analysis.
* Adding new ATLAS W pT analysis from Elena Yatsenko (slightly adapted).
2011-10-20 Frank Siegert <frank.siegert@cern.ch>
* Extend API of W/ZFinder to allow for specification of input final
state in which to search for leptons/photons.
2011-10-19 Andy Buckley <andy@insectnation.org>
* Adding new version of LHCB_2010_S8758301, based on submission
from Alex Grecu. There is some slightly dodgy-looking GenParticle*
fiddling going on, but apparently it's necessary (and hopefully robust).
2011-10-17 Andy Buckley <andy@insectnation.org>
* bin/rivet-nopy linker line tweak to make compilation work with
GCC 4.6 (-lHepMC has to be explicitly added for some reason).
2011-10-13 Frank Siegert <frank.siegert@cern.ch>
* Add four CMS QCD analyses kindly provided by CMS.
2011-10-12 Andy Buckley <andy@insectnation.org>
* Adding a separate test program for non-matrix/vector math
functions, and adding a new set of int/float literal arg tests for
the inRange functions in it.
* Adding a jet multiplicity plot for jets with pT > 30 GeV to
MC_TTBAR.
2011-10-11 Andy Buckley <andy@insectnation.org>
* Removing SVertex.
2011-10-11 James Monk <jmonk@cern.ch>
* root2flat was missing the first bin (plus spurious last bin)
* My version of bash does not understand the pipe syntax |& in rivet-buildplugin
2011-09-30 James Monk <jmonk@cern.ch>
* Fix bug in ATLAS_2010_S8817804 that misidentified the akt4 jets
as akt6
2011-09-29 Andy Buckley <andy@insectnation.org>
* Converting FinalStateHCM to a slightly more general
DISFinalState.
2011-09-26 Andy Buckley <andy@insectnation.org>
* Adding a default libname argument to rivet-buildplugin. If the
first argument doesn't have a .so library suffix, then use
RivetAnalysis.so as the default.
2011-09-19 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* make-plots: Fixing regex for \physicscoor. Adding "FrameColor"
option.
2011-09-17 Andy Buckley <andy@insectnation.org>
* Improving interactive metadata printout, by not printing
headings for missing info.
* Bumping the release number to 1.7.0alpha0, since with these
SPIRES/Inspire changes and the MissingMomentum API change we need
more than a minor release.
* Updating the mkanalysis, BibTeX-grabbing and other places that
care about analysis SPIRES IDs to also be able to handle the new
Inspire system record IDs. The missing link is getting to HepData
from an Inspire code...
* Using the .info file rather than an in-code declaration to
specify that an analysis needs cross-section information.
* Adding Inspire support to the AnalysisInfo and Analysis
interfaces. Maybe we can find a way to combine the two,
e.g. return the SPIRES code prefixed with an "S" if no Inspire ID
is available...
2011-09-17 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added ALICE_2011_S8909580 (strange particle production at 900 GeV)
* Feed-down correction in ALICE_2011_S8945144
2011-09-16 Andy Buckley <andy@insectnation.org>
* Adding ATLAS track jet analysis, modified from the version
provided by Seth Zenz: ATLAS_2011_I919017. Note that this analysis
is currently using the Inspire ID rather than the Spires one:
we're clearly going to have to update the API to handle Inspire
codes, so might as well start now...
2011-09-14 Andy Buckley <andy@insectnation.org>
* Adding the ATLAS Z pT measurement at 7 TeV (ATLAS_2011_S9131140)
and an MC analysis for VH->bb events (MC_VH2BB).
2011-09-12 Andy Buckley <andy@insectnation.org>
* Removing uses of getLog, cout, cerr, and endl from all standard
analyses and projections, except in a very few special cases.
2011-09-10 Andy Buckley <andy@insectnation.org>
* Changing the behaviour and interface of the MissingMomentum
projection to calculate vector ET correctly. This was previously
calculated according to the common definition of -E*sin(theta) of
the summed visible 4-momentum in the event, but that is incorrect
because the timelike term grows monotonically. Instead, transverse
2-vectors of size ET need to be constructed for each visible
particle, and vector-summed in the transverse plane.
The rewrite of this behaviour made it opportune to make an API
improvement: the previous method names scalarET/vectorET() have
been renamed to scalar/vectorEt() to better match the Rivet
FourMomentum::Et() method, and MissingMomentum::vectorEt() now
returns a Vector3 rather than a double so that the transverse
missing Et direction is also available.
Only one data analysis has been affected by this change in
behaviour: the D0_2004_S5992206 dijet delta(phi) analysis. It's
expected that this change will not be very significant, as it is
a *veto* on significant missing ET to reduce non-QCD
contributions. MC studies using this analysis ~always run with QCD
events only, so these contributions should be small. The analysis
efficiency may have been greatly improved, as fewer events will
now fail the missing ET veto cut.
* Add sorting of the ParticleVector returned by the ChargedLeptons
projection.
* configure.ac: Adding a check to make sure that no-one tries to
install into --prefix=$PWD.
2011-09-04 Andy Buckley <andy@insectnation.org>
* lighthisto fixes from Christian Roehr.
2011-08-26 Andy Buckley <andy@insectnation.org>
* Removing deprecated features: the setBeams(...) method on
Analysis, the MaxRapidity constant, the split(...) function, the
default init() method from AnalysisHandler and its test, and the
deprecated TotalVisibleMomentum and PVertex projections.
2011-08-23 Andy Buckley <andy@insectnation.org>
* Adding a new DECLARE_RIVET_PLUGIN wrapper macro to hide the
details of the plugin hook system from analysis authors. Migration
of all analyses and the rivet-mkanalysis script to use this as the
standard plugin hook syntax.
* Also call the --cflags option on root-config when using the
--root option with rivet-biuldplugin (thanks to Richard Corke for
the report)
2011-08-23 Frank Siegert <frank.siegert@cern.ch>
* Added ATLAS_2011_S9126244
* Added ATLAS_2011_S9128077
2011-08-23 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added ALICE_2011_S8945144
* Remove obsolete setBeams() from the analyses
* Update CMS_2011_S8957746 reference data to the official numbers
* Use Inspire rather than Spires.
2011-08-19 Frank Siegert <frank.siegert@cern.ch>
* More NLO parton level generator friendliness: Don't crash or fail when
there are no beam particles.
* Add --ignore-beams option to skip compatibility check.
2011-08-09 David Mallows <dave.mallows@gmail.com>
* Fix aida2flat to ignore empty dataPointSet
2011-08-07 Andy Buckley <andy@insectnation.org>
* Adding TEXINPUTS and LATEXINPUTS prepend definitions to the
variables provided by rivetenv.(c)sh. A manual setting of these
variables that didn't include the Rivet TEXMFHOME path was
breaking make-plots on lxplus, presumably since the system LaTeX
packages are so old there.
2011-08-02 Frank Siegert <frank.siegert@cern.ch>
Version 1.6.0 release!
2011-08-01 Frank Siegert <frank.siegert@cern.ch>
* Overhaul of the WFinder and ZFinder projections, including a change
of interface. This solves potential problems with leptons which are not
W/Z constituents being excluded from the RemainingFinalState.
2011-07-29 Andy Buckley <andy@insectnation.org>
* Version 1.5.2 release!
* New version of aida2root from James Monk.
2011-07-29 Frank Siegert <frank.siegert@cern.ch>
* Fix implementation of --config file option in make-plots.
2011-07-27 David Mallows <dave.mallows@gmail.com>
* Updated MC_TTBAR.plot to reflect updated analysis.
2011-07-25 Andy Buckley <andy@insectnation.org>
* Adding a useTransverseMass flag method and implementation to
InvMassFinalState, and using it in the WFinder, after feedback
from Gavin Hesketh. This was the neatest way I could do it :S Some
other tidying up happened along the way.
* Adding transverse mass massT and massT2 methods and functions
for FourMomentum.
2011-07-22 Frank Siegert <frank.siegert@cern.ch>
* Added ATLAS_2011_S9120807
* Add two more observables to MC_DIPHOTON and make its isolation cut
more LHC-like
* Add linear photon pT histo to MC_PHOTONJETS
2011-07-20 Andy Buckley <andy@insectnation.org>
* Making MC_TTBAR work with semileptonic ttbar events and generally
tidying the code.
2011-07-19 Andy Buckley <andy@insectnation.org>
* Version bump to 1.5.2.b01 in preparation for a release in the
very near future.
2011-07-18 David Mallows <dave.mallows@gmail.com>
* Replaced MC_TTBAR: Added t,tbar reconstruction. Not yet working.
2011-07-18 Andy Buckley <andy@insectnation.org>
* bin/rivet-buildplugin.in: Pass the AM_CXXFLAGS
variable (including the warning flags) to the C++ compiler when
building user analysis plugins.
* include/LWH/DataPointSet.h: Fix accidental setting of errorMinus
= scalefactor * error_Plus_. Thanks to Anton Karneyeu for the bug
report!
2011-07-18 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added CMS_2011_S8884919 (charged hadron multiplicity in NSD
events corrected to pT>=0).
* Added CMS_2010_S8656010 and CMS_2010_S8547297 (charged
hadron pT and eta in NSD events)
* Added CMS_2011_S8968497 (chi_dijet)
* Added CMS_2011_S8978280 (strangeness)
2011-07-13 Andy Buckley <andy@insectnation.org>
* Rivet PDF manual updates, to not spread disinformation about
bootstrapping a Genser repo.
2011-07-12 Andy Buckley <andy@insectnation.org>
* bin/make-plots: Protect property reading against unstripped \r
characters from DOS newlines.
* bin/rivet-mkhtml: Add a -M unmatch regex flag (note that these
are matching the analysis path rather than individual histos on
this script), and speed up the initial analysis identification and
selection by avoiding loops of regex comparisons for repeats of
strings which have already been analysed.
* bin/compare-histos: remove the completely (?) unused histogram
list, and add -m and -M regex flags, as for aida2flat and
flat2aida.
2011-06-30 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* fix fromFlat() in lighthistos: It would ignore histogram paths
before.
* flat2aida: preserve histogram order from .dat files
2011-06-27 Andy Buckley <andy@insectnation.org>
* pyext/setup.py.in: Use CXXFLAGS and LDFLAGS safely in the Python
extension build, and improve the use of build/src directory
arguments.
2011-06-23 Andy Buckley <andy@insectnation.org>
* Adding a tentative rivet-updateanalyses script, based on
lhapdf-getdata, which will download new analyses as requested. We
could change our analysis-providing behaviour a bit to allow this
sort of delivery mechanism to be used as the normal way of getting
analysis updates without us having to make a whole new Rivet
release. It is nice to be able to identify analyses with releases,
though, for tracking whether bugs have been addressed.
2011-06-10 Frank Siegert <frank.siegert@cern.ch>
* Bugfixes in WFinder.
2011-06-10 Andy Buckley <andy@insectnation.org>
* Adding \physicsxcoor and \physicsycoor treatment to make-plots.
2011-06-06 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Allow for negative cross-sections. NLO tools need this.
* make-plots: For RatioPlotMode=deviation also consider the MC
uncertainties, not just data.
2011-06-04 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Add support for goodness-of-fit calculations to make-plots.
The results are shown in the legend, and one histogram can
be selected to determine the color of the plot margin. See
the documentation for more details.
2011-06-04 Andy Buckley <andy@insectnation.org>
* Adding auto conversion of Histogram2D to DataPointSets in the
AnalysisHandler _normalizeTree method.
2011-06-03 Andy Buckley <andy@insectnation.org>
* Adding a file-weight feature to the Run object, which will
optionally rescale the weights in the provided HepMC files. This
should be useful for e.g. running on multiple differently-weighted
AlpGen HepMC files/streams. The new functionality is used by the
rivet command via an optional weight appended to the filename with
a colon delimiter, e.g. "rivet fifo1.hepmc fifo2.hepmc:2.31"
2011-06-01 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Add BeamThrust projection
2011-05-31 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fix LIBS for fastjet-3.0
* Add basic infrastructure for Taylor plots in make-plots
* Fix OPAL_2004_S6132243: They are using charged+neutral.
* Release 1.5.1
2011-05-22 Andy Buckley <andy@insectnation.org>
* Adding plots of stable and decayed PID multiplicities to
MC_GENERIC (useful for sanity-checking generator setups).
* Removing actually-unused ProjectionApplier.fhh forward
declaration header.
2011-05-20 Andy Buckley <andy@insectnation.org>
* Removing import of ipython shell from rivet-rescale, having just
seen it throw a multi-coloured warning message on a student's
lxplus Rivet session!
* Adding support for the compare-histos --no-ratio flag when using
rivet-mkhtml. Adding --rel-ratio, --linear, etc. is an exercise
for the enthusiast ;-)
2011-05-10 Andy Buckley <andy@insectnation.org>
* Internal minor changes to the ProjectionHandler and
ProjectionApplier interfaces, in particular changing the
ProjectionHandler::create() function to be called getInstance and
to return a reference rather than a pointer. The reference change
is to make way for an improved singleton implementation, which
cannot yet be used due to a bug in projection memory
management. The code of the improved singleton is available, but
commented out, in ProjectionManager.hh to allow for easier
migration and to avoid branching.
2011-05-08 Andy Buckley <andy@insectnation.org>
* Extending flat2aida to be able to read from and write to
stdin/out as for aida2flat, and also eliminating the internal
histo parsing representation in favour of the one in
lighthisto. lighthisto's fromFlat also needed a bit of an
overhaul: it has been extended to parse each histo's chunk of
text (including BEGIN and END lines) in fromFlatHisto, and for
fromFlat to parse a collection of histos from a file, in keeping
with the behaviour of fromDPS/fromAIDA. Merging into Professor is
now needed.
* Extending aida2flat to have a better usage message, to accept
input from stdin for command chaining via pipes, and to be a bit
more sensibly internally structured (although it also now has to
hold all histos in memory before writing out -- that shouldn't be
a problem for anything other than truly huge histo files).
2011-05-04 Andy Buckley <andy@insectnation.org>
* compare-histos: If using --mc-errs style, prefer dotted and
dashdotted line styles to dashed, since dashes are often too long
to be distinguishable from solid lines. Even better might be to
always use a solid line for MC errs style, and to add more colours.
* rivet-mkhtml: use a no-mc-errors drawing style by default,
to match the behaviour of compare-histos, which it calls. The
--no-mc-errs option has been replaced with an --mc-errs option.
2011-05-04 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Ignore duplicate files in compare-histos.
2011-04-25 Andy Buckley <andy@insectnation.org>
* Adding some hadron-specific N and sumET vs. |eta| plots to MC_GENERIC.
* Re-adding an explicit attempt to get the beam particles, since
HepMC's IO_HERWIG seems to not always set them even though it's
meant to.
2011-04-19 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added ATLAS_2011_S9002537 W asymmetry analysis
2011-04-14 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* deltaR, deltaPhi, deltaEta now available in all combinations of
FourVector, FourMomentum, Vector3, doubles. They also accept jets
and particles as arguments now.
2011-04-13 David Grellscheid <david.grellscheid@durham.ac.uk>
* added ATLAS 8983313: 0-lepton BSM
2011-04-01 Andy Buckley <andy@insectnation.org>
* bin/rivet-mkanalysis: Don't try to download SPIRES or HepData
info if it's not a standard analysis (i.e. if the SPIRES ID is not
known), and make the default .info file validly parseable by YAML,
which was an unfortunate gotcha for anyone writing a first
analysis.
2011-03-31 Andy Buckley <andy@insectnation.org>
* bin/compare-histos: Write more appropriate ratio plot labels
when not comparing to data, and use the default make-plots labels
when comparing to data.
* bin/rivet-mkhtml: Adding a timestamp to the generated pages, and
a -t/--title option to allow setting the main HTML page title on
the command line: otherwise it becomes impossible to tell these
pages apart when you have a lot of them, except by URL!
2011-03-24 Andy Buckley <andy@insectnation.org>
* bin/aida2flat: Adding a -M option to *exclude* histograms whose
paths match a regex. Writing a negative lookahead regex with
positive matching was far too awkward!
2011-03-18 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* src/Core/AnalysisHandler.cc (AnalysisHandler::removeAnalysis):
Fixed strange shared pointer assignment that caused seg-fault.
2011-03-13 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* filling of functions works now in a more intuitive way (I hope).
2011-03-09 Andy Buckley <andy@insectnation.org>
* Version 1.5.0 release!
2011-03-08 Andy Buckley <andy@insectnation.org>
* Adding some extra checks for external packages in make-plots.
2011-03-07 Andy Buckley <andy@insectnation.org>
* Changing the accuracy of the beam energy checking to 1%, to make
the UI a bit more forgiving. It's still best to specify exactly the right
energy of course!
2011-03-01 Andy Buckley <andy@insectnation.org>
* Adding --no-plottitle to compare-histos (+ completion).
* Fixing segfaults in UA1_1990_S2044935 and UA5_1982_S875503.
* Bump ABI version numbers for 1.5.0 release.
* Use AnalysisInfo for storage of the NeedsCrossSection analysis flag.
* Allow field setting in AnalysisInfo.
2011-02-27 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Support LineStyle=dashdotted in make-plots
* New command line option --style for compare-histos. Options are
"default", "bw" and "talk".
* cleaner uninstall
2011-02-26 Andy Buckley <andy@insectnation.org>
* Changing internal storage and return type of Particle::pdgId()
to PdgId, and adding Particle::energy().
* Renaming Analysis::energies() as Analysis::requiredEnergies().
* Adding beam energies into beam consistency checking:
Analysis::isCompatible methods now also require the beam energies
to be provided.
* Removing long-deprecated AnalysisHandler::init() constructor and
AnalysisHandler::removeIncompatibleAnalyses() methods.
2011-02-25 Andy Buckley <andy@insectnation.org>
* Adding --disable-obsolete, which takes its value from the value
of --disable-preliminary by default.
* Replacing RivetUnvalidated and RivetPreliminary plugin libraries
with optionally-configured analysis contents in the
experiment-specific plugin libraries. This avoids issues with
making libraries rebuild consistently when sources were reassigned
between libraries.
2011-02-24 Andy Buckley <andy@insectnation.org>
* Changing analysis plugin registration to fall back through
available paths rather than have RIVET_ANALYSIS_PATH totally
override the built-in paths. The first analysis hook of a given
name to be found is now the one that's used: any duplicates found
will be warned about but unused. getAnalysisLibPaths() now returns
*all* the search paths, in keeping with the new search behaviour.
2011-02-22 Andy Buckley <andy@insectnation.org>
* Moving the definition of the MSG_* macros into the Logging.hh
header. They can't be used everywhere, though, as they depend on
the existence of a this->getLog() method in the call scope. This
move makes them available in e.g. AnalysisHandler and other bits
of framework other than projections and analyses.
* Adding a gentle print-out from the Rivet AnalysisHandler if
preliminary analyses are being used, and strengthening the current
warning if unvalidated analyses are used.
* Adding documentation about the validation "process" and
the (un)validated and preliminary analysis statuses.
* Adding the new RivetPreliminary analysis library, and the
corresponding --disable-preliminary configure flag. Analyses in
this library are subject to change names, histograms, reference
data values, etc. between releases: make sure you check any
dependences on these analyses when upgrading Rivet.
* Change the Python script ref data search behaviours to use Rivet
ref data by default where available, rather than requiring a -R
option. Where relevant, -R is still a valid option, to avoid
breaking legacy scripts, and there is a new --no-rivet-refs option
to turn the default searching *off*.
* Add the prepending and appending optional arguments to the path
searching functions. This will make it easier to combine the
search functions with user-supplied paths in Python scripts.
* Make make-plots killable!
* Adding Rivet version to top of run printout.
* Adding Run::crossSection() and printing out the cross-section in
pb at the end of a Rivet run.
2011-02-22 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Make lighthisto.py aware of 2D histograms
* Adding published versions of the CDF_2008 leading jets and DY
analyses, and marking the preliminary ones as "OBSOLETE".
2011-02-21 Andy Buckley <andy@insectnation.org>
* Adding PDF documentation for path searching and .info/.plot
files, and tidying overfull lines.
* Removing unneeded const declarations from various return by
value path and internal binning functions. Should not affect ABI
compatibility but will force recompilation of external packages
using the RivetPaths.hh and Utils.hh headers.
* Adding findAnalysis*File(fname) functions, to be used by Rivet
scripts and external programs to find files known to Rivet
according to Rivet's (newly standard) lookup rule.
* Changing search path function behaviour to always return *all*
search directories rather than overriding the built-in locations
if the environment variables are set.
2011-02-20 Andy Buckley <andy@insectnation.org>
* Adding the ATLAS 2011 transverse jet shapes analysis.
2011-02-18 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Support for transparency in make-plots
2011-02-18 Frank Siegert <frank.siegert@cern.ch>
* Added ATLAS prompt photon analysis ATLAS_2010_S8914702
2011-02-10 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Simple NOOP constructor for Thrust projection
* Add CMS event shape analysis. Data read off the plots. We
will get the final numbers when the paper is accepted by
the journal.
2011-02-10 Frank Siegert <frank.siegert@cern.ch>
* Add final version of ATLAS dijet azimuthal decorrelation
2011-02-10 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* remove ATLAS conf note analyses for which we have final data
* reshuffle histograms in ATLAS minbias analysis to match Hepdata
* small pT-cut fix in ATLAS track based UE analysis
2011-01-31 Andy Buckley <andy@insectnation.org>
* Doc tweaks and adding cmp-by-|p| functions for Jets, to match
those added by Hendrik for Particles.
* Don't sum photons around muons in the D0 2010 Z pT analysis.
2011-01-27 Andy Buckley <andy@insectnation.org>
* Adding ATLAS 2010 min bias and underlying event analyses and data.
2011-01-23 Andy Buckley <andy@insectnation.org>
* Make make-plots write out PDF rather than PS by default.
2011-01-12 Andy Buckley <andy@insectnation.org>
* Fix several rendering and comparison bugs in rivet-mkhtml.
* Allow make-plots to write into an existing directory, at the
user's own risk.
* Make rivet-mkhtml produce PDF-based output rather than PS by
default (most people want PDF these days). Can we do the same
change of default for make-plots?
* Add getAnalysisPlotPaths() function, and use it in compare-histos
* Use proper .info file search path function internally in AnalysisInfo::make.
2011-01-11 Andy Buckley <andy@insectnation.org>
* Clean up ATLAS dijet analysis.
2010-12-30 Andy Buckley <andy@insectnation.org>
* Adding a run timeout option, and small bug-fixes to the event
timeout handling, and making first event timeout work nicely with
the run timeout. Run timeout is intended to be used in conjunction
with timed batch token expiry, of the type that likes to make 0
byte AIDA files on LCG when Grid proxies time out.
2010-12-21 Andy Buckley <andy@insectnation.org>
* Fix the cuts in the CDF 1994 colour coherence analysis.
2010-12-19 Andy Buckley <andy@insectnation.org>
* Fixing CDF midpoint cone jet algorithm default construction to
have an overlap threshold of 0.5 rather than 0.75. This was
recommended by the FastJet manual, and noticed while adding the
ATLAS and CMS cones.
* Adding ATLAS and CMS old iterative cones as "official" FastJets
constructor options (they could always have been used by explicit
instantiation and attachment of a Fastjet plugin object).
* Removing defunct and unused ClosestJetShape projection.
2010-12-16 Andy Buckley <andy@insectnation.org>
* bin/compare-histos, pyext/lighthisto.py: Take ref paths from
rivet module API rather than getting the environment by hand.
* pyext/lighthisto.py: Only read .plot info from the first
matching file (speed-up compare-histos).
2010-12-14 Andy Buckley <andy@insectnation.org>
* Augmenting the physics vector functionality to make FourMomentum
support maths operators with the correct return type (FourMomentum
rather than FourVector).
2010-12-11 Andy Buckley <andy@insectnation.org>
* Adding a --event-timeout option to control the event timeout,
adding it to the completion script, and making sure that the init
time check is turned OFF once successful!
* Adding an 3600 second timeout for initialising an event file. If
it takes longer than (or anywhere close to) this long, chances are
that the event source is inactive for some reason (perhaps
accidentally unspecified and stdin is not active, or the event
generator has died at the other end of the pipe. The reason for
not making it something shorter is that e.g. Herwig++ or Sherpa
can have long initialisation times to set up the MPI handler or to
run the matrix element integration. An timeout after an hour is
still better than a batch job which runs for two days before you
realise that you forgot to generate any events!
2010-12-10 Andy Buckley <andy@insectnation.org>
* Fixing unbooked-histo segfault in UA1_1990_S2044935 at 63 GeV.
2010-12-08 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fixes in ATLAS_2010_CONF_083, declaring it validated
* Added ATLAS_2010_CONF_046, only two plots are implemented.
The paper will be out soon, and we don't need the other plots
right now. Data is read off the plots in the note.
* New option "SmoothLine" for HISTOGRAM sections in make-plots
* Changed CustomTicks to CustomMajorTicks and added CustomMinorTicks
in make-plots.
2010-12-07 Andy Buckley <andy@insectnation.org>
* Update the documentation to explain this latest bump to path
lookup behaviours.
* Various improvements to existing path lookups. In particular,
the analysis lib path locations are added to the info and ref
paths to avoid having to set three variables when you have all
three file types in the same personal plugin directory.
* Adding setAnalysisLibPaths and addAnalysisLibPath
functions. rivet --analysis-path{,-append} now use these and work
correctly. Hurrah!
* Add --show-analyses as an alias for --show-analysis, following a
comment at the ATLAS tutorial.
2010-12-07 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Change LegendXPos behaviour in make-plots. Now the top left
corner of the legend is used as anchor point.
2010-12-03 Andy Buckley <andy@insectnation.org>
* 1.4.0 release.
* Add bin-skipping to compare-histos to avoid one use of
rivet-rmgaps (it's still needed for non-plotting post-processing
like Professor).
2010-12-03 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fix normalisation issues in UA5 and ALEPH analyses
2010-11-27 Andy Buckley <andy@insectnation.org>
* MathUtils.hh: Adding fuzzyGtrEquals and fuzzyLessEquals, and
tidying up the math utils collection a bit.
* CDF 1994 colour coherence analysis overhauled and
correction/norm factors fixed. Moved to VALIDATED status.
* Adding programmable completion for aida2flat and flat2aida.
* Improvements to programmable completion using the neat _filedir
completion shell function which I just discovered.
2010-11-26 Andy Buckley <andy@insectnation.org>
* Tweak to floating point inRange to use fuzzyEquals for CLOSED
interval equality comparisons.
* Some BibTeX generation improvements, and fixing the ATLAS dijet
BibTeX key.
* Resolution upgrade in PNG make-plots output.
* CDF_2005_S6217184.cc, CDF_2008_S7782535.cc: Updates to use the
new per-jet JetAlg interface (and some other fixes).
* JetAlg.cc: Changed the interface on request to return per-jet
rather than per-event jet shapes, with an extra jet index argument.
* MathUtils.hh: Adding index_between(...) function, which is handy
for working out which bin a value falls in, given a set of bin edges.
2010-11-25 Andy Buckley <andy@insectnation.org>
* Cmp.hh: Adding ASC/DESC (and ANTISORTED) as preferred
non-EQUIVALENT enum value synonyms over misleading
SORTED/UNSORTED.
* Change of rapidity scheme enum name to RapScheme
* Reworking JetShape a bit further: constructor args now avoid
inconsistencies (it was previously possible to define incompatible
range-ends and interval). Internal binning implementation also
reworked to use a vector of bin edges: the bin details are
available via the interface. The general jet pT cuts can be
applied via the JetShape constructor.
* MathUtils.hh: Adding linspace and logspace utility
functions. Useful for defining binnings.
* Adding more general cuts on jet pT and (pseudo)rapidity.
2010-11-11 Andy Buckley <andy@insectnation.org>
* Adding special handling of FourMomentum::mass() for computed
zero-mass vectors for which mass2 can go (very slightly) negative
due to numerical precision.
2010-11-10 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Adding ATLAS-CONF-2010-083 conference note. Data is read from plots.
When I run Pythia 6 the bins close to pi/2 are higher than in the note,
so I call this "unvalidated". But then ... the note doesn't specify
a tune or even just a version for the generators in the plots. Not even
if they used Pythia 6 or Pythia 8. Probably 6, since they mention AGILe.
2010-11-10 Andy Buckley <andy@insectnation.org>
* Adding a JetAlg::useInvisibles(bool) mechanism to allow ATLAS
jet studies to include neutrinos. Anyone who chooses to use this
mechanism had better be careful to remove hard neutrinos manually
in the provided FinalState object.
2010-11-09 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Adding ATLAS-CONF-2010-049 conference note. Data is read from plots.
Fragmentation functions look good, but I can't reproduce the MC lines
(or even the relative differences between them) in the jet cross-section
plots. So consider those unvalidated for now. Oh, and it seems ATLAS
screwed up the error bands in their ratio plots, too. They are
upside-down.
2010-11-07 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Adding ATLAS-CONF-2010-081 conference note. Data is read from plots.
2010-11-06 Andy Buckley <andy@insectnation.org>
* Deprecating the old JetShape projection and renaming to
ClosestJetShape: the algorithm has a tenuous relationship with
that actually used in the CDF (and ATLAS) jet shape analyses. CDF
analyses to be migrated to the new JetShape projection... and some
of that projection's features, design elements, etc. to be
finished off: we may as well take this opportunity to clear up
what was one of our nastiest pieces of code.
2010-11-05 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Adding ATLAS-CONF-2010-031 conference note. Data is read from plots.
2010-10-29 Andy Buckley <andy@insectnation.org>
* Making rivet-buildplugin use the same C++ compiler and CXXFLAGS
variable as used for the Rivet system build.
* Fixing NeutralFinalState projection to, erm, actually select
neutral particles (by Hendrik).
* Allow passing a general FinalState reference to the JetShape
projection, rather than requiring a VetoedFS.
2010-10-07 Andy Buckley <andy@insectnation.org>
* Adding a --with-root flag to rivet-buildplugin to add
root-config --libs flags to the plugin build command.
2010-09-24 Andy Buckley <andy@insectnation.org>
* Releasing as Rivet 1.3.0.
* Bundling underscore.sty to fix problems with running make-plots
on dat files generated by compare-histos from AIDA files with
underscores in their names.
2010-09-16 Andy Buckley <andy@insectnation.org>
* Fix error in N_effective definition for weighted profile errors.
2010-08-18 Andy Buckley <andy@insectnation.org>
* Adding MC_GENERIC analysis. NB. Frank Siegert also added MC_HJETS.
2010-08-03 Andy Buckley <andy@insectnation.org>
* Fixing compare-histos treatment of what is now a ref file, and
speeding things up... again. What a mess!
2010-08-02 Andy Buckley <andy@insectnation.org>
* Adding rivet-nopy: a super-simple Rivet C++ command line
interface which avoids Python to make profiling and debugging
easier.
* Adding graceful exception handling to the AnalysisHandler event
loop methods.
* Changing compare-histos behaviour to always show plots for which
there is at least one MC histo. The default behaviour should now
be the correct one in 99% of use cases.
2010-07-30 Andy Buckley <andy@insectnation.org>
* Merging in a fix for shared_ptrs not being compared for
insertion into a set based on raw pointer value.
2010-07-16 Andy Buckley <andy@insectnation.org>
* Adding an explicit library dependency declaration on libHepMC,
and hence removing the -lHepMC from the rivet-config --libs
output.
2010-07-14 Andy Buckley <andy@insectnation.org>
* Adding a manual section on use of Rivet (and AGILe) as
libraries, and how to use the -config scripts to aid compilation.
* FastJets projection now allows setting of a jet area definition,
plus a hacky mapping for getting the area-enabled cluster
sequence. Requested by Pavel Starovoitov & Paolo Francavilla.
* Lots of script updates in last two weeks!
2010-06-30 Andy Buckley <andy@insectnation.org>
* Minimising amount of Log class mapped into SWIG.
* Making Python ext build checks fail with error rather than
warning if it has been requested (or, rather, not explicitly
disabled).
2010-06-28 Andy Buckley <andy@insectnation.org>
* Converting rivet Python module to be a package, with the dlopen
flag setting etc. done around the SWIG generated core wrapper
module (rivet.rivetwrap).
* Requiring Python >= 2.4.0 in rivet scripts (and adding a Python
version checker function to rivet module)
* Adding --epspng option to make-plots (and converting to use subprocess.Popen).
2010-06-27 Andy Buckley <andy@insectnation.org>
* Converting JADE_OPAL analysis to use the fastjet
exclusive_ymerge_*max* function, rather than just
exclusive_ymerge: everything looks good now. It seems that fastjet
>= 2.4.2 is needed for this to work properly.
2010-06-24 Andy Buckley <andy@insectnation.org>
* Making rivet-buildplugin look in its own bin directory when
trying to find rivet-config.
2010-06-23 Andy Buckley <andy@insectnation.org>
* Adding protection and warning about numerical precision issues
in jet mass calculation/histogramming to the MC_JetAnalysis
analysis.
* Numerical precision improvement in calculation of
Vector4::mass2.
* Adding relative scale ratio plot flag to compare-histos
* Extended command completion to rivet-config, compare-histos, and
make-plots.
* Providing protected log messaging macros,
MSG_{TRACE,DEBUG,INFO,WARNING,ERROR} cf. Athena.
* Adding environment-aware functions for Rivet search path list access.
2010-06-21 Andy Buckley <andy@insectnation.org>
* Using .info file beam ID and energy info in HTML and LaTeX documentation.
* Using .info file beam ID and energy info in command-line printout.
* Fixing a couple of references to temporary variables in the
analysis beam info, which had been introduced during refactoring:
have reinstated reference-type returns as the more efficient
solution. This should not affect API compatibility.
* Making SWIG configure-time check include testing for
incompatibilities with the C++ compiler (re. the recurring _const_
char* literals issue).
* Various tweaks to scripts: make-plots and compare-histos
processes are now renamed (on Linux), rivet-config is avoided when
computing the Rivet version,and RIVET_REF_PATH is also set using
the rivet --analysis-path* flags. compare-histos now uses multiple
ref data paths for .aida file globbing.
* Hendrik changed VetoedFinalState comparison to always return
UNDEFINED if vetoing on the results of other FS projections is
being used. This is the only simple way to avoid problems
emanating from the remainingFinalState thing.
2010-06-19 Andy Buckley <andy@insectnation.org>
* Adding --analysis-path and --analysis-path-append command-line
flags to the rivet script, as a "persistent" way to set or extend
the RIVET_ANALYSIS_PATH variable.
* Changing -Q/-V script verbosity arguments to more standard
-q/-v, after Hendrik moaned about it ;)
* Small fix to TinyXML operator precendence: removes a warning,
and I think fixes a small bug.
* Adding plotinfo entries for new jet rapidity and jet mass plots
in MC_JetAnalysis derivatives.
* Moving MC_JetAnalysis base class into a new
libRivetAnalysisTools library, with analysis base class and helper
headers to be stored in the reinstated Rivet/Analyses include
directory.
2010-06-08 Andy Buckley <andy@insectnation.org>
* Removing check for CEDARSTD #define guard, since we no longer
compile against AGILe and don't have to be careful about
duplication.
* Moving crappy closest approach and decay significance functions
from Utils into SVertex, which is the only place they have ever
been used (and is itself almost entirely pointless).
* Overhauling particle ID <-> name system to clear up ambiguities
between enums, ints, particles and beams. There are no more enums,
although the names are still available as const static ints, and
names are now obtained via a singleton class which wraps an STL
map for name/ID lookups in both directions.
2010-05-18 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fixing factor-of-2 bug in the error calculation when scaling
histograms.
* Fixing D0_2001_S4674421 analysis.
2010-05-11 Andy Buckley <andy@insectnation.org>
* Replacing TotalVisibleMomentum with MissingMomentum in analyses
and WFinder. Using vector ET rather than scalar ET in some places.
2010-05-07 Andy Buckley <andy@insectnation.org>
* Revamping the AnalysisHandler constructor and data writing, with
some LWH/AIDA mangling to bypass the stupid AIDA idea of having to
specify the sole output file and format when making the data
tree. Preferred AnalysisHandler constructor now takes only one arg
-- the runname -- and there is a new AH.writeData(outfile) method
to replace AH.commitData(). Doing this now to begin migration to
more flexible histogramming in the long term.
2010-04-21 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fixing LaTeX problems (make-plots) on ancient machines, like lxplus.
2010-04-29 Andy Buckley <andy@insectnation.org>
* Fixing (I hope!) the treatment of weighted profile bin errors in LWH.
2010-04-21 Andy Buckley <andy@insectnation.org>
* Removing defunct and unused KtJets and Configuration classes.
* Hiding some internal details from Doxygen.
* Add @brief Doxygen comments to all analyses, projections and
core classes which were missing them.
2010-04-21 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* remove obsolete reference to InitialQuarks from DELPHI_2002
* fix normalisation in CDF_2000_S4155203
2010-04-20 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* bin/make-plots: real support for 2-dim histograms plotted as
colormaps, updated the documentation accordingly.
* fix misleading help comment in configure.ac
2010-04-08 Andy Buckley <andy@insectnation.org>
* bin/root2flat: Adding this little helper script, minimally
modified from one which Holger Schulz made for internal use in
ATLAS.
2010-04-05 Andy Buckley <andy@insectnation.org>
* Using spiresbib in rivet-mkanalysis: analysis templates made
with rivet-mkanalysis will now contain a SPIRES-dumped BibTeX key
and entry if possible!
* Adding BibKey and BibTeX entries to analysis metadata files, and
updating doc build to use them rather than the time-consuming
SPIRES screen-scraping. Added SPIRES BibTeX dumps to all analysis
metadata using new (uninstalled & unpackaged) doc/get-spires-data
script hack.
* Updating metadata files to add Energies, Beams and PtCuts
entries to all of them.
* Adding ToDo, NeedsCrossSection, and better treatment of Beams
and Energies entries in metadata files and in AnalysisInfo and
Analysis interfaces.
2010-04-03 Andy Buckley <andy@insectnation.org>
* Frank Siegert: Update of rivet-mkhtml to conform to improved
compare-histos.
* Frank Siegert: LWH output in precision-8 scientific notation, to
solve a binning precision problem... the first time weve noticed a
problem!
* Improved treatment of data/reference datasets and labels in
compare-histos.
* Rewrite of rivet-mkanalysis in Python to make way for neat
additions.
* Improving SWIG tests, since once again the user's biuld system
must include SWIG (no test to check that it's a 'good SWIG', since
the meaning of that depends on which compiler is being used and we
hope that the user system is consistent... evidence from Finkified
Macs and bloody SLC5 notwithstanding).
2010-03-23 Andy Buckley <andy@insectnation.org>
* Tag as patch release 1.2.1.
2010-03-22 Andy Buckley <andy@insectnation.org>
* General tidying of return arguments and intentionally unused
parameters to keep -Wextra happy (some complaints remain from
TinyXML, FastJet, and HepMC).
* Some extra bug fixes: in FastJets projection with explicit
plugin argument, removing muon veto cut on FoxWolframMoments.
* Adding UNUSED macro to help with places where compiler warnings
can't be helped.
* Turning on -Wextra warnings, and fixing some violations.
2010-03-21 Andy Buckley <andy@insectnation.org>
* Adding MissingMomentum projection, as replacement for ~all uses
of now-deprecated TotalVisibleMomentum projection.
* Fixing bug with TotalVisibleMomentum projection usage in MC_SUSY
analysis.
* Frank Siegert fixed major bug in pTmin param passing to FastJets
projection. D'oh: requires patch release.
2010-03-02 Andy Buckley <andy@insectnation.org>
* Tagging for 1.2.0 release... at last!
2010-03-01 Andy Buckley <andy@insectnation.org>
* Updates to manual, manual generation scripts, analysis info etc.
* Add HepData URL to metadata print-out with rivet --show-analysis
* Fix average Et plot in UA1 analysis to only apply to the tracker
acceptance (but to include neutral particle contributions,
i.e. the region of the calorimeter in the tracker acceptance).
* Use Et rather than pT in filling the scalar Et measure in
TotalVisibleMomentum.
* Fixes to UA1 normalisation (which is rather funny in the paper).
2010-02-26 Andy Buckley <andy@insectnation.org>
* Update WFinder to not place cuts and other restrictions on the
neutrino.
2010-02-11 Andy Buckley <andy@insectnation.org>
* Change analysis loader behaviour to use ONLY RIVET_ANALYSIS_PATH
locations if set, otherwise use ONLY the standard Rivet analysis
install path. Should only impact users of personal plugin
analyses, who should now explicitly set RIVET_ANALYSIS_PATH to
load their analysis... and who can now create personal versions of
standard analyses without getting an error message about duplicate
loading.
2010-01-15 Andy Buckley <andy@insectnation.org>
* Add tests for "stable" heavy flavour hadrons in jets (rather
than just testing for c/b hadrons in the ancestor lists of stable
jet constituents)
2009-12-23 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* New option "RatioPlotMode=deviation" in make-plots.
2009-12-14 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* New option "MainPlot" in make-plots. For people who only want
the ratio plot and nothing else.
* New option "ConnectGaps" in make-plots. Set to 1 if you
want to connect gaps in histograms with a line when ErrorBars=0.
Works both in PLOT and in HISTOGRAM sections.
* Eliminated global variables for coordinates in make-plots and
enabled multithreading.
2009-12-14 Andy Buckley <andy@insectnation.org>
* AnalysisHandler::execute now calls AnalysisHandler::init(event)
if it has not yet been initialised.
* Adding more beam configuration features to Beam and
AnalysisHandler: the setRunBeams(...) methods on the latter now
allows a beam configuration for the run to be specified without
using the Run class.
2009-12-11 Andy Buckley <andy@insectnation.org>
* Removing use of PVertex from few remaining analyses. Still used
by SVertex, which is itself hardly used and could maybe be
removed...
2009-12-10 Andy Buckley <andy@insectnation.org>
* Updating JADE_OPAL to do the histo booking in init(), since
sqrtS() is now available at that stage.
* Renaming and slightly re-engineering all MC_*_* analyses to not
be collider-specific (now the Analysis::sqrtS/beams()) methods
mean that histograms can be dynamically binned.
* Creating RivetUnvalidated.so plugin library for unvalidated
analyses. Unvalidated analyses now need to be explicitly enabled
with a --enable-unvalidated flag on the configure script.
* Various min bias analyses updated and validated.
2009-12-10 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Propagate SPECIAL and HISTOGRAM sections from .plot files
through compare-histos
* STAR_2006_S6860818: <pT> vs particle mass, validate analysis
2009-12-04 Andy Buckley <andy@insectnation.org>
* Use scaling rather than normalising in DELPHI_1996: this is
generally desirable, since normalizing to 1 for 1/sig dsig/dx
observables isn't correct if any events fall outside the histo
bounds.
* Many fixes to OPAL_2004.
* Improved Hemispheres interface to remove unnecessary consts on
returned doubles, and to also return non-squared versions
of (scaled) hemisphere masses.
* Add "make pyclean" make target at the top level to make it
easier for developers to clean their Python module build when the
API is extended.
* Identify use of unvalidated analyses with a warning message at
runtime.
* Providing Analysis::sqrtS() and Analysis::beams(), and making
sure they're available by the time the init methods are called.
2009-12-02 Andy Buckley <andy@insectnation.org>
* Adding passing of first event sqrt(s) and beams to analysis handler.
* Restructuring running to only use one HepMC input file (no-one
was using multiple ones, right?) and to break down the Run class
to cleanly separate the init and event loop phases. End of file is
now neater.
2009-12-01 Andy Buckley <andy@insectnation.org>
* Adding parsing of beam types and pairs of energies from YAML.
2009-12-01 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fixing trigger efficiency in CDF_2009_S8233977
2009-11-30 Andy Buckley <andy@insectnation.org>
* Using shared pointers to make I/O object memory management
neater and less error-prone.
* Adding crossSectionPerEvent() method [==
crossSection()/sumOfWeights()] to Analysis. Useful for histogram
scaling since numerator of sumW_passed/sumW_total (to calculate
pass-cuts xsec) is cancelled by dividing histo by sumW_passed.
* Clean-up of Particle class and provision of inline PID::
functions which take a Particle as an argument to avoid having to
explicitly call the Particle::pdgId() method.
2009-11-30 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fixing division by zero in Profile1D bin errors for
bins with just a single entry.
2009-11-24 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* First working version of STAR_2006_S6860818
2009-11-23 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Adding missing CDF_2001_S4751469 plots to uemerge
* New "ShowZero" option in make-plots
* Improving lots of plot defaults
* Fixing typos / non-existing bins in CDF_2001_S4751469 and
CDF_2004_S5839831 reference data
2009-11-19 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fixing our compare() for doubles.
2009-11-17 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Zeroth version of STAR_2006_S6860818 analysis (identified
strange particles). Not working yet for unstable particles.
2009-11-11 Andy Buckley <andy@insectnation.org>
* Adding separate jet-oriented and photon-oriented observables to
MC PHOTONJETUE analysis.
* Bug fix in MC leading jets analysis, and general tidying of
leading jet analyses to insert units, etc. (should not affect any
current results)
2009-11-10 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fixing last issues in STAR_2006_S6500200 and setting it to
VALIDATED.
* Noramlise STAR_2006_S6870392 to cross-section
2009-11-09 Andy Buckley <andy@insectnation.org>
* Overhaul of jet caching and ParticleBase interface.
* Adding lists of analyses' histograms (obtained by scanning the
plot info files) to the LaTeX documentation.
2009-11-07 Andy Buckley <andy@insectnation.org>
* Adding checking system to ensure that Projections aren't
registered before the init phase of analyses.
* Now that the ProjHandler isn't full of defunct pointers (which
tend to coincidentally point to *new* Projection pointers rather
than undefined memory, hence it wasn't noticed until recently!),
use of a duplicate projection name is now banned with a helpful
message at runtime.
* (Huge) overhaul of ProjectionHandler system to use shared_ptr:
projections are now deleted much more efficiently, naturally
cleaning themselves out of the central repository as they go out
of scope.
2009-11-06 Andy Buckley <andy@insectnation.org>
* Adding Cmp<double> specialisation, using fuzzyEquals().
2009-11-05 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fixing histogram division code.
2009-11-04 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* New analysis STAR_2006_S6500200 (pion and proton pT spectra in
pp collisions at 200 GeV). It is still unclear if they used a cut
in rapidity or pseudorapidity, thus the analysis is declared
"UNDER DEVELOPMENT" and "DO NOT USE".
* Fixing compare() in NeutralFinalState and MergedFinalState
2009-11-04 Andy Buckley <andy@insectnation.org>
* Adding consistence checking on beam ID and sqrt(s) vs. those
from first event.
2009-11-03 Andy Buckley <andy@insectnation.org>
* Adding more assertion checks to linear algebra testing.
2009-11-02 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fixing normalisation issue with stacked histograms in
make-plots.
2009-10-30 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* CDF_2009_S8233977: Updating data and axes labels to match final
paper. Normalise to cross-section instead of data.
2009-10-23 Andy Buckley <andy@insectnation.org>
* Fixing Cheese-3 plot in CDF 2004... at last!
2009-10-23 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fix muon veto in CDF_1994_S2952106, CDF_2005_S6217184,
CDF_2008_S7782535, and D0_2004_S5992206
2009-10-19 Andy Buckley <andy@insectnation.org>
* Adding analysis info files for MC SUSY and PHOTONJETUE analyses.
* Adding MC UE analysis in photon+jet events.
2009-10-19 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Adding new NeutralFinalState projection. Note that this final
state takes E_T instead of p_T as argument (makes more sense for
neutral particles). The compare() method does not yet work as
expected (E_T comparison still missing).
* Adding new MergedFinalState projection. This merges two final
states, removing duplicate particles. Duplicates are identified by
looking at the genParticle(), so users need to take care of any
manually added particles themselves.
* Fixing most open issues with the STAR_2009_UE_HELEN analysis.
There is only one question left, regarding the away region.
* Set the default split-merge value for SISCone in our FastJets
projection to the recommended (but not Fastjet-default!) value of
0.75.
2009-10-17 Andy Buckley <andy@insectnation.org>
* Adding parsing of units in cross-sections passed to the "-x"
flag, i.e. "-x 101 mb" is parsed internally into 1.01e11 pb.
2009-10-16 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Disabling DELPHI_2003_WUD_03_11 in the Makefiles, since I don't
trust the data.
* Getting STAR_2009_UE_HELEN to work.
2009-10-04 Andy Buckley <andy@insectnation.org>
* Adding triggers and other tidying to (still unvalidated)
UA1_1990 analysis.
* Fixing definition of UA5 trigger to not be intrinscally
different for pp and ppbar: this is corrected for (although it
takes some readng to work this out) in the 1982 paper, which I
think is the only one to compare the two modes.
* Moving projection setup and registration into init() method for
remaining analyses.
* Adding trigger implementations as projections for CDF Runs 0 &
1, and for UA5.
2009-10-01 Andy Buckley <andy.buckley@cern.ch>
* Moving projection setup and registration into init() method for
analyses from ALEPH, CDF and the MC_ group.
* Adding generic SUSY validation analysis, based on plots used in
ATLAS Herwig++ validation.
* Adding sorted particle accessors to FinalState (cf. JetAlg).
2009-09-29 Andy Buckley <andy@insectnation.org>
* Adding optional use of args as regex match expressions with
-l/--list-analyses.
2009-09-03 Andy Buckley <andy.buckley@cern.ch>
* Passing GSL include path to compiler, since its absence was
breaking builds on systems with no GSL installation in a standard
location (such as SLC5, for some mysterious reason!)
* Removing lib extension passing to compiler from the configure
script, because Macs and Linux now both use .so extensions for the
plugin analysis modules.
2009-09-02 Andy Buckley <andy@insectnation.org>
* Adding analysis info file path search with RIVET_DATA_PATH
variable (and using this to fix doc build.)
* Improvements to AnalysisLoader path search.
* Moving analysis sources back into single directory, after a
proletarian uprising ;)
2009-09-01 Andy Buckley <andy@insectnation.org>
* Adding WFinder and WAnalysis, based on Z proj and analysis, with
some tidying of the Z code.
* ClusteredPhotons now uses an IdentifiedFS to pick the photons to
be looped over, and only clusters photons around *charged* signal
particles.
2009-08-31 Andy Buckley <andy@insectnation.org>
* Splitting analyses by directory, to make it easier to disable
building of particular analysis group plugin libs.
* Removing/merging headers for all analyses except for the special
MC_JetAnalysis base class.
* Exit with an error message if addProjection is used twice from
the same parent with distinct projections.
2009-08-28 Andy Buckley <andy@insectnation.org>
* Changed naming convention for analysis plugin libraries, since
the loader has changed so much: they must now *start* with the
word "Rivet" (i.e. no lib prefix).
* Split standard plugin analyses into several plugin libraries:
these will eventually move into separate subdirs for extra build
convenience.
* Started merging analysis headers into the source files, now that
we can (the plugin hooks previously forbade this).
* Replacement of analysis loader system with a new one based on
ideas from ThePEG, which uses dlopen-time instantiation of
templated global variables to reduce boilerplate plugin hooks to
one line in analyses.
2009-07-14 Frank Siegert <frank.siegert@durham.ac.uk>
* Replacing in-source histo-booking metadata with .plot files.
2009-07-14 Andy Buckley <andy@insectnation.org>
* Making Python wrapper files copy into place based on bundled
versions for each active HepMC interface (2.3, 2.4 & 2.5), using a
new HepMC version detector test in configure.
* Adding YAML metadata files and parser, removing same metadata
from the analysis classes' source headers.
2009-07-07 Andy Buckley <andy@insectnation.org>
* Adding Jet::hadronicEnergy()
* Adding VisibleFinalState and automatically using it in JetAlg
projections.
* Adding YAML parser for new metadata (and eventually ref data)
files.
2009-07-02 Andy Buckley <andy@insectnation.org>
* Adding Jet::neutralEnergy() (and Jet::totalEnergy() for
convenience/symmetry).
2009-06-25 Andy Buckley <andy@insectnation.org>
* Tidying and small efficiency improvements in CDF_2008_S7541902
W+jets analysis (remove unneeded second stage of jet storing,
sorting the jets twice, using foreach, etc.).
2009-06-24 Andy Buckley <andy@insectnation.org>
* Fixing Jet's containsBottom and containsCharm methods, since B
hadrons are not necessarily to be found in the final
state. Discovered at the same time that HepMC::GenParticle defines
a massively unhelpful copy constructor that actually loses the
tree information; it would be better to hide it entirely!
* Adding RivetHepMC.hh, which defines container-type accessors to
HepMC particles and vertices, making it possible to use Boost
foreach and hence avoiding the usual huge boilerplate for-loops.
2009-06-11 Andy Buckley <andy@insectnation.org>
* Adding --disable-pdfmanual option, to make the bootstrap a bit
more robust.
* Re-enabling D0IL in FastJets: adding 10^-10 to the pTmin removes
the numerical instability!
* Fixing CDF_2004 min/max cone analysis to use calo jets for the
leading jet Et binning. Thanks to Markus Warsinsky
for (re)discovering this bug: I was sure it had been fixed. I'm
optimistic that this will fix the main distributions, although
Swiss Cheese "minus 3" is still likely to be broken. Early tests
look okay, but it'll take more stats before we can remove the "do
not trust" sign.
2009-06-10 Andy Buckley <andy@insectnation.org>
* Providing "calc" methods so that Thrust and Sphericity
projections can be used as calculators without having to use the
projecting/caching system.
2009-06-09 Andy Buckley <andy@insectnation.org>
* 1.1.3 release!
* More doc building and SWIG robustness tweaks.
2009-06-07 Andy Buckley <andy@insectnation.org>
* Make doc build from metadata work even before the library is
installed.
2009-06-07 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fix phi rotation in CDF_2008_LEADINGJETS.
2009-06-07 Andy Buckley <andy@insectnation.org>
* Disabling D0 IL midpoint cone (using CDF modpoint instead),
since there seems to be a crashing bug in FastJet's
implementation: we can't release that way, since ~no D0 analyses
will run.
2009-06-03 Andy Buckley <andy@insectnation.org>
* Putting SWIG-generated source files under SVN control to make
life easier for people who we advise to check out the SVN head
version, but who don't have a sufficiently modern copy of SWIG to
* Adding the --disable-analyses option, for people who just want
to use Rivet as a framework for their own analyses.
* Enabling HepMC cross-section reading, now that HepMC 2.5.0 has
been released.
2009-05-23 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Using gsl-config to locate libgsl
* Fix the paths for linking such that our own libraries are found
before any system libraries, e.g. for the case that there is an
outdated fastjet version installed on the system while we want to
use our own up-to-date version.
* Change dmerge to ymerge in the e+e- analyses using JADE or
DURHAM from fastjet. That's what it is called in fastjet-2.4 now.
2009-05-18 Andy Buckley <andy@insectnation.org>
* Adding use of gsl-config in configure script.
2009-05-16 Andy Buckley <andy@insectnation.org>
* Removing argument to vetoEvent macro, since no weight
subtraction is now needed. It's now just an annotated return, with
built-in debug log message.
* Adding an "open" FinalState, which is only calculated once per
even, then used by all other FSes, avoiding the loop over
non-status 1 particles.
2009-05-15 Andy Buckley <andy@insectnation.org>
* Removing incorrect setting of DPS x-errs in CDF_2008 jet shape
analysis: the DPS autobooking already gets this bit right.
* Using Jet rather than FastJet::PseudoJet where possible, as it
means that the phi ranges match up nicely between Particle and the
Jet object. The FastJet objects are only really needed if you want
to do detailed things like look at split/merge scales for
e.g. diff jet rates or "y-split" analyses.
* Tidying and debugging CDF jet shape analyses and jet shape
plugin... ongoing, but I think I've found at least one real bug,
plus a lot of stuff that can be done a lot more nicely.
* Fully removing deprecated math functions and updating affected
analyses.
2009-05-14 Andy Buckley <andy@insectnation.org>
* Removing redundant rotation in DISKinematics... this was a
legacy of Peter using theta rather than pi-theta in his rotation.
* Adding convenience phi, rho, eta, theta, and perp,perp2 methods
to the 3 and 4 vector classes.
2009-05-12 Andy Buckley <andy@insectnation.org>
* Adding event auto-rotation for events with one proton... more
complete approach?
2009-05-09 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Renaming CDF_2008_NOTE_9337 to CDF_2009_S8233977.
* Numerous small bug fixes in ALEPH_1996_S3486095.
* Adding data for one of the Rick-Field-style STAR UE analyses.
2009-05-08 Andy Buckley <andy@insectnation.org>
* Adding rivet-mkanalysis script, to make generating new analysis
source templates easier.
2009-05-07 Andy Buckley <andy@insectnation.org>
* Adding null vector check to Vector3::azimuthalAngle().
* Fixing definition of HCM/Breit frames in DISKinematics, and
adding asserts to check that the transformation is doing what it
should.
2009-05-05 Andy Buckley <andy@insectnation.org>
* Removing eta and Et cuts from CDF 2000 Z pT analysis, based on
our reading of the paper, and converting most of the analysis to a
call of the ZFinder projection.
2009-05-05 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Support non-default seed_threshold in CDF cone jet algorithms.
* New analyses STAR_2006_S6870392 and STAR_2008_S7993412. In
STAR_2008_S7993412 only the first distribution is filled at the
moment. STAR_2006_S6870392 is normalised to data instead of the
Monte Carlo cross-section, since we don't have that available in
the HepMC stream yet.
2009-05-05 Andy Buckley <andy@insectnation.org>
* Changing Event wrapper to copy whole GenEvents rather than
pointers, use std units if supported in HepMC, and run a
placeholder function for event auto-orientation.
2009-04-28 Andy Buckley <andy@insectnation.org>
* Removing inclusion of IsolationTools header by analyses that
aren't actually using the isolation tools... which is all of
them. Leaving the isolation tools in place for now, as there might
still be use cases for them and there's quite a lot of code there
that deserves a second chance to be used!
2009-04-24 Andy Buckley <andy@insectnation.org>
* Deleting Rivet implementations of TrackJet and D0ILConeJets: the
code from these has now been incorporated into FastJet 2.4.0.
* Removed all mentions of the FastJet JADE patch and the HAVE_JADE
preprocessor macro.
* Bug fix to D0_2008_S6879055 to ensure that cuts compare to both
electron and positron momenta (was just comparing against
electrons, twice, probably thanks to the miracle of cut and
paste).
* Converting all D0 IL Cone jets to use FastJets. Involved tidying
D0_2004 jet azimuthal decorrelation analysis and D0_2008_S6879055
as part of migration away from using the getLorentzJets method,
and removing the D0ILConeJets header from quite a few analyses
that weren't using it at all.
* Updating CDF 2001 to use FastJets in place of TrackJet, and
adding axis labels to its plots.
* Note that ZEUS_2001_S4815815 uses the wrong jet definition: it
should be a cone but curently uses kT.
* Fixing CDF_2005_S6217184 to use correct (midpoint, R=0.7) jet
definition. That this was using a kT definition with R=1.0 was
only made obvious when the default FastJets constructor was
removed.
* Removing FastJets default constructor: since there are now
several good (IRC safe) jet definitions available, there is no
obvious safe default and analyses should have to specify which
they use.
* Moving FastJets constructors into implementation file to reduce
recompilation dependencies, and adding new plugins.
* Ensuring that axis labels actually get written to the output
data file.
2009-04-22 Andy Buckley <andy@insectnation.org>
* Adding explicit FastJet CDF jet alg overlap_threshold
constructor param values, since the default value from 2.3.x is
now removed in version 2.4.0.
* Removing use of HepMC ThreeVector::mag method (in one place
only) since this has been removed in version 2.5.0b.
* Fix to hepmc.i (included by rivet.i) to ignore new HepMC 2.5.0b
GenEvent stream operator.
2009-04-21 Andy Buckley <andy@insectnation.org>
* Dependency on FastJet now requires version 2.4.0 or later. Jade
algorithm is now native.
* Moving all analysis constructors and Projection headers from the
analysis header files into their .cc implementation files, cutting
header dependencies.
* Removing AIDA headers: now using LWH headers only, with
enhancement to use axis labels. This facility is now used by the
histo booking routines, and calling the booking function versions
which don't specify axis labels will result in a runtime warning.
2009-04-07 Andy Buckley <andy@insectnation.org>
* Adding $(DESTDIR) prefix to call to Python module "setup.py
install"
* Moving HepMC SWIG mappings into Python Rivet module for now:
seems to work-around the SL type-mapping bug.
2009-04-03 Andy Buckley <andy@insectnation.org>
* Adding MC analysis for LHC UE: higher-pT replica of Tevatron
2008 leading jets study.
* Adding CDF_1990 pseudorapidity analysis.
* Moving CDF_2001 constructor into implementation file.
* Cleaning up CDF_2008_LEADINGJETS a bit, e.g. using foreach
loops.
* Adding function interface for specifying axis labels in histo
bookings. Currently has no effect, since AIDA doesn't seem to have
a mechanism for axis labels. It really is a piece of crap.
2009-03-18 Andy Buckley <andy@insectnation.org>
* Adding docs "make upload" and other tweaks to make the doc files
fit in with the Rivet website.
* Improving LaTex docs to show email addresses in printable form
and to group analyses by collider or other metadata.
* Adding doc script to include run info in LaTeX docs, and to make
HTML docs.
* Removing WZandh projection, which wasn't generator independent
and whose sole usage was already replaced by ZFinder.
* Improvements to constructors of ZFinder and InvMassFS.
* Changing ExampleTree to use real FS-based Z finding.
2009-03-16 Andy Buckley <andy@insectnation.org>
* Allow the -H histo file spec to give a full name if wanted. If
it doesn't end in the desired extension, it will be added.
* Adding --runname option (and API elements) to choose a run name
to be prepended as a "top level directory" in histo paths. An
empty value results in no extra TLD.
2009-03-06 Andy Buckley <andy@insectnation.org>
* Adding R=0.2 photon clustering to the electrons in the CDF 2000
Z pT analysis.
2009-03-04 Andy Buckley <andy@insectnation.org>
* Fixing use of fastjet-config to not use the user's PATH
variable.
* Fixing SWIG type table for HepMC object interchange.
2009-02-20 Andy Buckley <andy@insectnation.org>
* Adding use of new metadata in command line analysis querying
with the rivet command, and in building the PDF Rivet manual.
* Adding extended metadata methods to the Analysis interface and
the Python wrapper. All standard analyses comply with this new
interface.
2009-02-19 Andy Buckley <andy@insectnation.org>
* Adding usefully-scoped config headers, a Rivet::version()
function which uses them, and installing the generated headers to
fix "external" builds against an installed copy of Rivet. The
version() function has been added to the Python wrapper.
2009-02-05 Andy Buckley <andy@insectnation.org>
* Removing ROOT dependency and linking. Woo! There's no need for
this now, because the front-end accepts no histo format switch and
we'll just use aida2root for output conversions. Simpler this way,
and it avoids about half of our compilation bug reports from 32/64
bit ROOT build confusions.
2009-02-04 Andy Buckley <andy@insectnation.org>
* Adding automatic generation of LaTeX manual entries for the
standard analyses.
2009-01-20 Andy Buckley <andy@insectnation.org>
* Removing RivetGun and TCLAP source files!
2009-01-19 Andy Buckley <andy@insectnation.org>
* Added psyco Python optimiser to rivet, make-plots and
compare-histos.
* bin/aida2root: Added "-" -> "_" mangling, following requests.
2009-01-17 Andy Buckley <andy@insectnation.org>
* 1.1.2 release.
2009-01-15 Andy Buckley <andy@insectnation.org>
* Converting Python build system to bundle SWIG output in tarball.
2009-01-14 Andy Buckley <andy@insectnation.org>
* Converting AIDA/LWH divide function to return a DPS so that bin
width factors don't get all screwed up. Analyses adapted to use
the new division operation (a DPS/DPS divide would also be
nice... but can wait for YODA).
2009-01-06 Andy Buckley <andy@insectnation.org>
* bin/make-plots: Added --png option for making PNG output files,
using 'convert' (after making a PDF --- it's a bit messy)
* bin/make-plots: Added --eps option for output filtering through
ps2eps.
2009-01-05 Andy Buckley <andy@insectnation.org>
* Python: reworking Python extension build to use distutils and
newer m4 Python macros. Probably breaks distcheck but is otherwise
more robust and platform independent (i.e. it should now work on
Macs).
2008-12-19 Andy Buckley <andy@insectnation.org>
* make-plots: Multi-threaded make-plots and cleaned up the LaTeX
building a bit (necessary to remove the implicit single global
state).
2008-12-18 Andy Buckley <andy@insectnation.org>
* make-plots: Made LaTeX run in no-stop mode.
* compare-histos: Updated to use a nicer labelling syntax on the
command line and to successfully build MC-MC plots.
2008-12-16 Andy Buckley <andy@insectnation.org>
* Made LWH bin edge comparisons safe against numerical errors.
* Added Particle comparison functions for sorting.
* Removing most bad things from ExampleTree and tidying up. Marked
WZandh projection for removal.
2008-12-03 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added the two missing observables to the CDF_2008_NOTE_9337 analysis,
i.e. track pT and sum(ET). There is a small difference between our MC
output and the MC plots of the analysis' author, we're still waiting
for the author's comments.
2008-12-02 Andy Buckley <andy@insectnation.org>
* Overloading use of a std::set in the interface, since the
version of SWIG on Sci Linux doesn't have a predefined mapping for
STL sets.
2008-12-02 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fixed uemerge. The output was seriously broken by a single line
of debug information in fillAbove(). Also changed uemerge output
to exponential notation.
* Unified ref and mc histos in compare-histos. Histos with one
bin are plotted linear. Option for disabling the ratio plot.
Several fixes for labels, legends, output directories, ...
* Changed rivetgun's fallback directory for parameter files to
$PREFIX/share/AGILe, since that's where the steering files now are.
* Running aida2flat in split mode now produces make-plots compatible
dat-files for direct plotting.
2008-11-28 Andy Buckley <andy@insectnation.org>
* Replaced binreloc with an upgraded and symbol-independent copy.
2008-11-25 Andy Buckley <andy@insectnation.org>
* Added searching of $RIVET_REF_PATH for AIDA reference data
files.
2008-11-24 Andy Buckley <andy@insectnation.org>
* Removing "get"s and other obsfucated syntax from
ProjectionApplier (Projection and Analysis) interfaces.
2008-11-21 Andy Buckley <andy@insectnation.org>
* Using new "global" Jet and V4 sorting functors in
TrackJet. Looks like there was a sorting direction problem before...
* Verbose mode with --list-analyses now shows descriptions as well
as analysis names.
* Moved data/Rivet to data/refdata and moved data/RivetGun
contents to AGILe (since generator steering is no longer a Rivet
thing)
* Added unchecked ratio plots to D0 Run II jet + photon analysis.
* Added D0 inclusive photon analysis.
* Added D0 Z rapidity analysis.
* Tidied up constructor interface and projection chain
implementation of InvMassFinalState.
* Added ~complete set of Jet and FourMomentum sorting functors.
2008-11-20 Andy Buckley <andy@insectnation.org>
* Added IdentifiedFinalState.
* Moved a lot of TrackJet and Jet code into .cc files.
* Fixed a caching bug in Jet: cache flag resets should never be
conditional, since they are then sensitive to initialisation
errors.
* Added quark enum values to ParticleName.
* Rationalised JetAlg interfaces somewhat, with "size()" and
"jets()" methods in the interface.
* Added D0 W charge asymmetry and D0 inclusive jets analyses.
2008-11-18 Andy Buckley <andy@insectnation.org>
* Adding D0 inclusive Z pT shape analysis.
* Added D0 Z + jet pT and photon + jet pT spectrum analyses.
* Lots of tidying up of particle, event, particle name etc.
* Now the first event is used to detect the beam type and remove
incompatible analyses.
2008-11-17 Andy Buckley <andy@insectnation.org>
* Added bash completion for rivetgun.
* Starting to provide stand-alone call methods on projections so
they can be used without the caching infrastructure. This could
also be handy for unit testing.
* Adding functionality (sorting function and built-in sorting
schemes) to the JetAlg interface.
2008-11-10 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fix floating point number output format in aida2flat and flat2aida
* Added CDF_2002_S4796047: CDF Run-I charged multiplicity distribution
* Renamed CDF_2008_MINBIAS to CDF_2008_NOTE_9337, since the
note is publicly available now.
2008-11-10 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added DELPHI_2003_WUD_03_11: Delphi 4-jet angular distributions.
There is still a problem with the analysis, so don't use it yet.
But I need to commit the code because my laptop is broken ...
2008-11-06 Andy Buckley <andy@insectnation.org>
* Code review: lots of tidying up of projections and analyses.
* Fixes for compatibility with the LLVM C & C++ compiler.
* Change of Particle interface to remove "get"-prefixed method
names.
2008-11-05 Andy Buckley <andy@insectnation.org>
* Adding ability to query analysis metadata from the command line.
* Example of a plugin analyis now in plugindemo, with a make check
test to make sure that the plugin analysis is recognised by the
command line "rivet" tool.
* GCC 4.3 fix to mat-vec tests.
2008-11-04 Andy Buckley <andy@insectnation.org>
* Adding native logger control from Python interface.
2008-11-03 Andy Buckley <andy@insectnation.org>
* Adding bash_completion for rivet executable.
2008-10-31 Andy Buckley <andy@insectnation.org>
* Clean-up of histo titles and analysis code review.
* Added momentum construction functions from FastJet PseudoJets.
2008-10-28 Andy Buckley <andy@insectnation.org>
* Auto-booking of histograms with a name, rather than the HepData
ID 3-tuple is now possible.
* Fix in CDF 2001 pT spectra to get the normalisations to depend
on the pT_lead cutoff.
2008-10-23 Andy Buckley <andy@insectnation.org>
* rivet handles signals neatly, as for rivetgun, so that premature
killing of the analysis process will still result in an analysis
file.
* rivet now accepts cross-section as a command line argument and,
if it is missing and is required, will prompt the user for it
interactively.
2008-10-22 Andy Buckley <andy@insectnation.org>
* rivet (Python interface) now can list analyses, check when
adding analyses that the given names are valid, specify histo file
name, and provide sensibly graded event number logging.
2008-10-20 Andy Buckley <andy@insectnation.org>
* Corrections to CDF 2004 analysis based on correspondance with
Joey Huston. M bias dbns now use whole event within |eta| < 0.7,
and Cheese plots aren't filled at all if there are insufficient
jets (and the correct ETlead is used).
2008-10-08 Andy Buckley <andy@insectnation.org>
* Added AnalysisHandler::commitData() method, to allow the Python
interface to write out a histo file without having to know
anything about the histogramming API.
* Reduced SWIG interface file to just map a subset of Analysis and
AnalysisHandler functionality. This will be the basis for a new
command line interface.
2008-10-06 Andy Buckley <andy@insectnation.org>
* Converted FastJets plugin to use a Boost shared_pointer to the
cached ClusterSequence. The nullness of the pointer is now used to
indicate an empty tracks (and hence jets) set. Once FastJet
natively support empty CSeqs, we can rewrite this a bit more
neatly and ditch the shared_ptr.
2008-10-02 Andy Buckley <andy@insectnation.org>
* The CDF_2004 (Acosta) data file now includes the full range of
pT for the min bias data at both 630 and 1800 GeV. Previously,
only the small low-pT insert plot had been entered into HepData.
2008-09-30 Andy Buckley <andy@insectnation.org>
* Lots of updates to CDF_2004 (Acosta) UE analysis, including
sorting jets by E rather than Et, and factorising transverse cone
code into a function so that it can be called with a random
"leading jet" in min bias mode. Min bias histos are now being
trial-filled just with tracks in the transverse cones, since the
paper is very unclear on this.
* Discovered a serious caching problem in FastJets projection when
an empty tracks vector is passed from the
FinalState. Unfortunately, FastJet provides no API way to solve
the problem, so we'll have to report this upstream. For now, we're
solving this for CDF_2004 by explicitly vetoing events with no
tracks.
* Added Doxygen to the build with target "dox"
* Moved detection of whether cross-section information is needed
into the AnalysisHandler, with dynamic computation by scanning
contained analyses.
* Improved robustness of event reading to detect properly when the
input file is smaller than expected.
2008-09-29 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* New analysis: CDF_2000_S4155203
2008-09-23 Andy Buckley <andy@insectnation.org>
* rivetgun can now be built and run without AGILe. Based on a
patch by Frank Siegert.
2008-09-23 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Some preliminary numbers for the CDF_2008_LEADINGJETS analysis
(only transverse region and not all observables. But all we have now.)
2008-09-17 Andy Buckley <andy@insectnation.org>
* Breaking up the mammoth "generate" function, to make Python
mapping easier, among other reasons.
* Added if-zero-return-zero checking to angle mapping functions,
to avoid problems where 1e-19 gets mapped on to 2 pi and then
fails boundary asserts.
* Added HistoHandler singleton class, which will be a central
repository for holding analyses' histogram objects to be accessed
via a user-chosen name.
2008-08-26 Andy Buckley <andy@insectnation.org>
* Allowing rivet-config to return combined flags.
2008-08-14 Andy Buckley <andy@insectnation.org>
* Fixed some g++ 4.3 compilation bugs, including "vector" not
being a valid name for a method which returns a physics vector,
since it clashes with std::vector (which we globally import). Took
the opportunity to rationalise the Jet interface a bit, since
"particle" was used to mean "FourMomentum", and "Particle" types
required a call to "getFullParticle". I removed the "gets" at the
same time, as part of our gradual migration to a coherent naming
policy.
2008-08-11 Andy Buckley <andy@insectnation.org>
* Tidying of FastJets and added new data files from HepData.
2008-08-10 James Monk <jmonk@hep.ucl.ac.uk>
* FastJets now uses user_index property of fastjet::PseudoJet to
reconstruct PID information in jet contents.
2008-08-07 Andy Buckley <andy@insectnation.org>
* Reworking of param file and command line parsing. Tab characters
are now handled by the parser, in a way equivalent to spaces.
2008-08-06 Andy Buckley <andy@insectnation.org>
* Added extra histos and filling to Acosta analysis - all HepData
histos should now be filled, depending on sqrt{s}. Also trialling
use of LaTeX math mode in titles.
2008-08-05 Andy Buckley <andy@insectnation.org>
* More data files for CDF analyses (2 x 2008, 1 x 1994), and moved
the RivetGun AtlasPythia6.params file to more standard
fpythia-atlas.params (and added to the install list).
2008-08-04 Andy Buckley <andy@insectnation.org>
* Reduced size of available options blocks in RivetGun help text
by removing "~" negating variants (which are hardly ever used in
practice) and restricting beam particles to
PROTON, ANTIPROTON,ELECTRON and POSITRON.
* Fixed Et sorting in Acosta analysis.
2008-08-01 Andy Buckley <andy@insectnation.org>
* Added AIDA headers to the install list, since
external (plugin-type) analyses need them to be present for
compilation to succeed.
2008-07-29 Andy Buckley <andy@insectnation.org>
* Fixed missing ROOT compile flags for libRivet.
* Added command line repetition to logging.
2008-07-29 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Included the missing numbers and three more observables
in the CDF_2008_NOTE_9351 analysis.
2008-07-29 Andy Buckley <andy@insectnation.org>
* Fixed wrong flags on rivet-config
2008-07-28 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Renamed CDF_2008_DRELLYAN to CDF_2008_NOTE_9351. Updated
numbers and cuts to the final version of this CDF note.
2008-07-28 Andy Buckley <andy@insectation.org>
* Fixed polar angle calcuation to use atan2.
* Added "mk" prefixes and x/setX convention to math classes.
2008-07-28 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Fixed definition of FourMomentum::pT (it had been returning pT2)
2008-07-27 Andy Buckley <andy@insectnation.org>
* Added better tests for Boost headers.
* Added testing for -ansi, -pedantic and -Wall compiler flags.
2008-07-25 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* updated DELPHI_2002_069_CONF_603 according to information
from the author
2008-07-17 Andy Buckley <andy@insectnation.org>
* Improvements to aida2flat: now can produce one output file per
histo, and there is a -g "gnuplot mode" which comments out the
YODA/make_plot headers to make the format readable by gnuplot.
* Import boost::assign namespace contents into the Rivet namespace
--- provides very useful intuitive collection initialising
functions.
2008-07-15 Andy Buckley <andy.buckley@dur.ac.uk>
* Fixed missing namespace in vector/matrix testing.
* Removed Boost headers: now a system dependency.
* Fixed polarRadius infinite loop.
2008-07-09 Andy Buckley <andy@insectnation.org>
* Fixed definitions of mapAngleMPiToPi, etc. and used them to fix
the Jet::getPhi method.
* Trialling use of "foreach" loop in CDF_2004: it works! Very nice.
2008-07-08 Andy Buckley <andy@insectnation.org>
* Removed accidental reference to an "FS" projection in
FinalStateHCM's compare method. rivetgun -A now works again.
* Added TASSO, SLD and D0_2008 reference data. The TASSO and SLD
papers aren't installed or included in the tarball since there are
currently no plans to implement these analyses.
* Added Rivet namespacing to vector, matrix etc. classes. This
required some re-writing and the opportunity was taken to move
some canonical function definitions inside the classes and to
improve the header structure of the Math area.
2008-07-07 Andy Buckley <andy@insectnation.org>
* Added Rivet namespace to Units.hh and Constants.hh.
* Added Doxygen "@brief" flags to analyses.
* Added "RIVET_" namespacing to all header guards.
* Merged Giulio Lenzi's isolation/vetoing/invmass projections and
D0 2008 analysis.
2008-06-23 Jon Butterworth <J.Butterworth@ucl.ac.uk>
* Modified FastJet to fix ysplit and split and filter.
* Modified ExampleTree to show how to call them.
2008-06-19 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added first version of the CDF_2008_DRELLYAN analysis described on
http://www-cdf.fnal.gov/physics/new/qcd/abstracts/UEinDY_08.html
There is a small difference between the analysis and this
implementation, but it's too small to be visible.
The fpythia-cdfdrellyan.params parameter file is for this analysis.
* Added first version of the CDF_2008_MINBIAS analysis described on
http://www-cdf.fnal.gov/physics/new/qcd/abstracts/minbias_08.html
The .aida file is read from the plots on the web and will change.
I'm still discussing some open questions about the analysis with
the author.
2008-06-18 Jon Butterworth <J.Butterworth@ucl.ac.uk>
* Added First versions of splitJet and filterJet methods to
fastjet.cc. Not yet tested, buyer beware.
2008-06-18 Andy Buckley <andy@insectnation.org>
* Added extra sorted Jets and Pseudojets methods to FastJets, and
added ptmin argument to the JetAlg getJets() method, requiring a
change to TrackJet.
2008-06-13 Andy Buckley <andy@insectnation.org>
* Fixed processing of "RG" parameters to ensure that invalid
iterators are never used.
2008-06-10 Andy Buckley <andy@insectnation.org>
* Updated AIDA reference files, changing "/HepData" root path to
"/REF". Still missing a couple of reference files due to upstream
problems with the HepData records.
2008-06-09 Andy Buckley <andy@insectnation.org>
* rivetgun now handles termination signals (SIGTERM, SIGINT and
SIGHUP) gracefully, finishing the event loop and finalising
histograms. This means that histograms will always get written
out, even if not all the requested events have been generated.
2008-06-04 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added DELPHI_2002_069_CONF_603 analysis
2008-05-30 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added InitialQuarks projection
* Added OPAL_1998_S3780481 analysis
2008-05-29 Andy Buckley <andy@insectnation.org>
* distcheck compatibility fixes and autotools tweaks.
2008-05-28 Andy Buckley <andy@insectnation.org>
* Converted FastJet to use Boost smart_ptr for its plugin
handling, to solve double-delete errors stemming from the heap
cloning of projections.
* Added (a subset of) Boost headers, particularly the smart
pointers.
2008-05-24 Andy Buckley <andy@insectnation.org>
* Added autopackage spec files.
* Merged these changes into the trunk.
* Added a registerClonedProjection(...) method to
ProjectionHandler: this is needed so that cloned projections will
have valid pointer entries in the ProjectHandler repository.
* Added clone() methods to all projections (need to use this,
since the templated "new PROJ(proj)" approach to cloning can't
handle object polymorphism.
2008-05-19 Andy Buckley <andy@insectnation.org>
* Moved projection-applying functions into ProjectionApplier base
class (from which Projection and Analysis both derive).
* Added Rivet-specific exceptions in place of std::runtime_error.
* Removed unused HepML reference files.
* Added error handling for requested analyses with wrong case
convention / missing name.
2008-05-15 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* New analysis PDG_Hadron_Multiplicities
* flat2aida converter
2008-05-15 Andy Buckley <andy@insectnation.org>
* Removed unused mysterious Perl scripts!
* Added RivetGun.HepMC logging of HepMC event details.
2008-05-14 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* New analysis DELPHI_1995_S3137023. This analysis contains
the xp spectra of Xi+- and Sigma(1385)+-.
2008-05-13 Andy Buckley <andy@insectnation.org>
* Improved logging interface: log levels are now integers (for
cross-library compatibility and level setting also applies to
existing loggers.
2008-05-09 Andy Buckley <andy@insectnation.org>
* Improvements to robustness of ROOT checks.
* Added --version flag on config scripts and rivetgun.
2008-05-06 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* New UnstableFinalState projection which selects all hadrons,
leptons and real photons including unstable particles.
* In the DELPHI_1996_S3430090 analysis the multiplicities for
pi+/pi- and p0 are filled, using the UnstableFinalState projection.
2008-05-06 Andy Buckley <andy@insectnation.org>
* FastJets projection now protects against the case where no
particles exist in the final state (where FastJet throws an
exception).
* AIDA file writing is now separated from the
AnalysisHandler::finalize method... API users can choose what to
do with the histo objects, be that writing out or further
processing.
2008-04-29 Andy Buckley <andy@insectnation.org>
* Increased default tolerances in floating point comparisons as
they were overly stringent and valid f.p. precision errors were
being treated as significant.
* Implemented remainder of Acosta UE analysis.
* Added proper getEtSum() to Jet.
* Added Et2() member and function to FourMomentum.
* Added aida2flat conversion script.
* Fixed ambiguity in TrackJet algorithm as to how the iteration
continues when tracks are merged into jets in the inner loop.
2008-04-28 Andy Buckley <andy@insectnation.org>
* Merged in major "ProjectionHandler" branch. Projections are now
all stored centrally in the singleton ProjectionHandler container,
rather than as member pointers in projections and analyses. This
also affects the applyProjection mechanism, which is now available
as a templated method on Analysis and Projection. Still a few
wrinkles need to be worked out.
* The branch changes required a comprehensive review of all
existing projections and analyses: lots of tidying up of these
classes, as well as the auxiliary code like math utils, has taken
place. Too much to list and track, unfortunately!
2008-03-28 Andy Buckley <buckley@pc54.hep.ucl.ac.uk>
* Started second CDF UE analysis ("Acosta"): histograms defined.
* Fixed anomalous factor of 2 in LWH conversion from Profile1D
to DataPointSet.
* Added pT distribution histos to CDF 2001 UE analysis.
2008-03-26 Andy Buckley <andy@insectnation.org>
* Removed charged+neutral versions of histograms and projections
from DELPHI analysis since they just duplicate the more robust
charged-only measurements and aren't really of interest for
tuning.
2008-03-10 Andy Buckley <andy@insectnation.org>
* Profile histograms now use error computation with proper
weighting, as described here:
http://en.wikipedia.org/wiki/Weighted_average
2008-02-28 Andy Buckley <andy@insectnation.org>
* Added --enable-jade flag for Professor studies with patched
FastJet.
* Minor fixes to LCG tag generator and gfilt m4 macros.
* Fixed projection slicing issues with Field UE analysis.
* Added Analysis::vetoEvent(e) function, which keeps track of the
correction to the sum of weights due to event vetoing in analysis
classes.
2008-02-26 Andy Buckley <andy@insectnation.org>
* Vector<N> and derived classes now initialise to have zeroed
components when the no-arg constructor is used.
* Added Analysis::scale() function to scale 1D
histograms. Analysis::normalize() uses it internally, and the
DELPHI (A)EEC, whose histo weights are not pure event weights, and
normalised using scale(h, 1/sumEventWeights).
2008-02-21 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Added EEC and AEEC to the DELPHI_1996_S3430090 analysis. The
normalisation of these histograms is still broken (ticket #163).
2008-02-19 Hendrik Hoeth <hendrik.hoeth@cern.ch>
* Many fixes to the DELPHI_1996_S3430090 analysis: bugfix in the
calulation of eigenvalues/eigenvectors in MatrixDiag.hh for the
sphericity, rewrite of Thrust/Major/Minor, fixed scaled momentum,
hemisphere masses, normalisation in single particle events,
final state slicing problems in the projections for Thrust,
Sphericity and Hemispheres.
2008-02-08 Andy Buckley <andy@insectnation.org>
* Applied fixes and extensions to DIS classes, based on
submissions by Dan Traynor.
2008-02-06 Andy Buckley <andy@insectnation.org>
* Made projection pointers used for cut combining into const
pointers. Required some redefinition of the Projection* comparison
operator.
* Temporarily added FinalState member to ChargedFinalState to stop
projection lifetime crash.
2008-02-01 Andy Buckley <andy@insectnation.org>
* Fixed another misplaced factor of bin width in the
Analysis::normalize() method.
2008-01-30 Andy Buckley <andy@insectnation.org>
* Fixed the conversion of IHistogram1D to DPS, both via the
explicit Analysis::normalize() method and the implicit
AnalysisHandler::treeNormalize() route. The root of the problem is
the AIDA choice of the word "height" to represent the sum of
weights in a bin: i.e. the bin width is not taken into account
either in computing bin height or error.
2008-01-22 Andy Buckley <andy@insectnation.org>
* Beam projection now uses HepMC GenEvent::beam_particles() method
to get the beam particles. This is more portable and robust for
C++ generators, and equivalent to the existing "first two" method
for Fortran generators.
2008-01-17 Andy Buckley <andy@insectnation.org>
* Added angle range fix to pseudorapidity function (thanks to
Piergiulio Lenzi).
2008-01-10 Andy Buckley <andy@insectnation.org>
* Changed autobooking plot codes to use zero-padding (gets the
order right in JAS, file browser, ROOT etc.). Also changed the
'ds' part to 'd' for consistency. HepData's AIDA output has been
correspondingly updated, as have the bundled data files.
2008-01-04 Andy Buckley <andy@insectnation.org>
* Tidied up JetShape projection a bit, including making the
constructor params const references. This seems to have sorted the
runtime segfault in the CDF_2005 analysis.
* Added caching of the analysis bin edges from the AIDA file -
each analysis object will now only read its reference file once,
which massively speeds up the rivetgun startup time for analyses
with large numbhers of autobooked histos (e.g. the
DELPHI_1996_S3430090 analysis).
2008-01-02 Andy Buckley <andy@insectnation.org>
* CDF_2001_S4751469 now uses the LossyFinalState projection, with
an 8% loss rate.
* Added LossyFinalState and HadronicFinalState, and fixed a
"polarity" bug in the charged final state projection (it was
keeping only the *uncharged* particles).
* Now using isatty(1) to determine whether or not color escapes
can be used. Also removed --color argument, since it can't have an
effect (TCLAP doesn't do position-based flag toggling).
* Made Python extension build optional (and disabled by default).
2008-01-01 Andy Buckley <andy@insectnation.org>
* Removed some unwanted DEBUG statements, and lowered the level of
some infrastructure DEBUGs to TRACE level.
* Added bash color escapes to the logger system.
2007-12-21 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* include/LWH/ManagedObject.h: Fixed infinite loop in
encodeForXML cf. ticket #135.
2007-12-20 Andy Buckley <andy@insectnation.org>
* Removed HepPID, HepPDT and Boost dependencies.
* Fixed XML entity encoding in LWH. Updated CDF_2007_S7057202
analysis to not do its own XML encoding of titles.
2007-12-19 Andy Buckley <andy@insectnation.org>
* Changed units header to set GeV = 1 (HepMC convention) and using
units in CDF UE analysis.
2007-12-15 Andy Buckley <andy@insectnation.org>
* Introduced analysis metadata methods for all analyses (and made
them part of the Analysis interface).
2007-12-11 Andy Buckley <andy@insectnation.org>
* Added JetAlg base projection for TrackJet, FastJet etc.
2007-12-06 Andy Buckley <andy@insectnation.org>
* Added checking for Boost library, and the standard Boost test
program for shared_ptr.
* Got basic Python interface running - required some tweaking
since Python and Rivet's uses of dlopen collide (another
RTLD_GLOBAL issue - see
http://muttley.hates-software.com/2006/01/25/c37456e6.html )
2007-12-05 Andy Buckley <andy@insectnation.org>
* Replaced all use of KtJets projection with FastJets
projection. KtJets projection disabled but left undeleted for
now. CLHEP and KtJet libraries removed from configure searches and
Makefile flags.
2007-12-04 Andy Buckley <andy@insectnation.org>
* Param file loading now falls back to the share/RivetGun
directory if a local file can't be found and the provided name has
no directory separators in it.
* Converted TrackJet projection to update the jet centroid with
each particle added, using pT weighting in the eta and phi
averaging.
2007-12-03 Andy Buckley <andy@insectnation.org>
* Merged all command line handling functions into one large parse
function, since only one executable now needs them. This removes a
few awkward memory leaks.
* Removed rivet executable - HepMC file reading functionality will
move into rivetgun.
* Now using HepMC IO_GenEvent format (IO_Ascii and
IO_ExtendedAscii are deprecated). Now requires HepMC >= 2.3.0.
* Added forward declarations of GSL diagonalisation routines,
eliminating need for GSL headers to be installed on build machine.
2007-11-27 Andy Buckley <andy@insectnation.org>
* Removed charge differentiation from Multiplicity projection (use
CFS proj) and updated ExampleAnalysis to produce more useful numbers.
* Introduced binreloc for runtime path determination.
* Fixed several bugs in FinalState, ChargedFinalState, TrackJet
and Field analysis.
* Completed move to new analysis naming scheme.
2007-11-26 Andy Buckley <andy@insectnation.org>
* Removed conditional HAVE_FASTJET bits: FastJet is now compulsory.
* Merging appropriate RivetGun parts into Rivet. RivetGun currently broken.
2007-11-23 Andy Buckley <andy@insectnation.org>
* Renaming analyses to Spires-ID scheme: currently of form
S<SpiresID>, to become <Expt>_<YYYY>_<SpiresID>.
2007-11-20 Andy Buckley <andy@insectnation.org>
* Merged replacement vectors, matrices and boosts into trunk.
2007-11-15 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* src/Analysis.cc, include/Rivet/Analysis.hh: Introduced normalize
function. See ticket #126.
2007-10-31 Andy Buckley <andy@insectnation.org>
* Tagging as 1.0b2 for HERA-LHC meeting.
2007-10-25 Andy Buckley <andy@insectnation.org>
* Added AxesDefinition base interface to Sphericity and Thrust,
used by Hemispheres.
* Exposed BinaryCut class, improved its interface and fixed a few
bugs. It's now used by VetoedFinalState for momentum cuts.
* Removed extra output from autobooking AIDA reader.
* Added automatic DPS booking.
2007-10-12 Andy Buckley <andy@insectnation.org>
* Improved a few features of the build system
2007-10-09 James Monk
* Fixed dylib dlopen on Mac OS X.
2007-10-05 Andy Buckley <andy@insectnation.org>
* Added new reference files.
2007-10-03 Andy Buckley <andy@insectnation.org>
* Fixed bug in configure.ac which led to explicit CXX setting
being ignored.
* Including Logging.hh in Projection.hh, hence new transitive
dependency on Logging.hh being installed. Since this is the normal
behaviour, I don't think this is a problem.
* Fixed segfaulting bug due to use of addProjection() in
locally-scoped contained projections. This isn't a proper fix,
since the whole framework should be designed to avoid the
possibility of bugs like this.
* Added newly built HepML and AIDA reference files for current
analyses.
2007-10-02 Andy Buckley <andy@insectnation.org>
* Fixed possible null-pointer dereference in Particle copy
constructor and copy assignment: this removes one of two blocker
segfaults, the other of which is related to the copy-assignment of
the TotalVisMomentum projection in the ExampleTree analysis.
2007-10-01 Andy Buckley <andy@insectnation.org>
* Fixed portable path to Rivet share directory.
2007-09-28 Andy Buckley <andy@insectnation.org>
* Added more functionality to the rivet-config script: now has
libdir, includedir, cppflags, ldflags and ldlibs options.
2007-09-26 Andy Buckley <andy@insectnation.org>
* Added the analysis library closer function to the
AnalysisHandler finalize() method, and also moved the analysis
delete loop into AnalysisHandler::finalize() so as not to try
deleting objects whose libraries have already closed.
* Replaced the RivetPaths.cc.in method for portable paths with
something using -D defines - much simpler!
2007-09-21 Lars Sonnenschein <sonne@mail.cern.ch>
* Added HepEx0505013 analysis and JetShape projection (some fixes
by AB.)
* Added GetLorentzJets member function to D0 RunII cone jet projection
2007-09-21 Andy Buckley <andy@insectnation.org>
* Fixed lots if bugs and bad practice in HepEx0505013 (to make it
compile-able!)
* Downclassed the log messages from the Test analysis to DEBUG
level.
* Added isEmpty() method to final state projection.
* Added testing for empty final state and useful debug log
messages to sphericity projection.
2007-09-20 Andy Buckley <andy@insectnation.org>
* Added Hemispheres projection, which calculates event hemisphere
masses and broadenings.
2007-09-19 Andy Buckley <andy@insectnation.org>
* Added an explicit copy assignment operator to Particle: the
absence of one of these was responsible for the double-delete
error.
* Added a "fuzzy equals" utility function for float/double types
to Utils.hh (which already contains a variety of handy little
functions).
* Removed deprecated Beam::operator().
* Added ChargedFinalState projection and de-pointered the
contained FinalState projection in VetoedFinalState.
2007-09-18 Andy Buckley <andy@insectnation.org>
* Major bug fixes to the regularised version of the sphericity
projection (and hence the Parisi tensor projection). Don't trust
C & D param results from any previous version!
* Added extra methods to thrust and sphericity projections to get
the oblateness and the sphericity basis (currently returns dummy
axes since I can't yet work out how to get the similarity
transform eigenvectors from CLHEP)
2007-09-14 Andy Buckley <andy@insectnation.org>
* Merged in a branch of pluggable analysis mechanisms.
2007-06-25 Jon Butterworth <jmb@hep.ucl.ac.uk>
* Fixed some bugs in the root output for DataPoint.h
2007-06-25 Andy Buckley <andy@insectnation.org>
* include/Rivet/**/Makefile.am: No longer installing headers for
"internal" functionality.
* include/Rivet/Projections/*.hh: Removed the private restrictions
on copy-assignment operators.
2007-06-18 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* include/LWH/Tree.h: Fixed minor bug in listObjectNames.
* include/LWH/DataPointSet.h: Fixed setCoordinate functions so
that they resize the vector of DataPoints if it initially was
empty.
* include/LWH/DataPoint.h: Added constructor taking a vector of
measuremts.
2007-06-16 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* include/LWH/Tree.h: Implemented the listObjectNames and ls
functions.
* include/Rivet/Projections/FinalStateHCM.hh,
include/Rivet/Projections/VetoedFinalState.hh: removed
_theParticles and corresponding access function. Use base class
variable instead.
* include/Rivet/Projections/FinalState.hh: Made _theParticles
protected.
2007-06-13 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* src/Projections/FinalStateHCM.cc,
src/Projections/DISKinematics.cc: Equality checks using
GenParticle::operator== changed to check for pointer equality.
* include/Rivet/Analysis/HepEx9506012.hh: Uses modified DISLepton
projection.
* include/Rivet/Particle.hh: Added member function to check if a
GenParticle is associated.
* include/Rivet/Projections/DISLepton.hh,
src/Projections/DISLepton.cc: Fixed bug in projection. Introduced
final state projection to limit searching for scattered
lepton. Still not properly tested.
2007-06-08 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* include/Rivet/Projections/PVertex.hh,
src/Projections/PVertex.cc: Fixed the projection to simply get the
signal_process_vertex from the GenEvent. This is the way it should
work. If the GenEvent does not have a signal_process_vertex
properly set up in this way, the problem is with the class that
fills the GenEvent.
2007-06-06 Jon Butterworth <jmb@hep.ucl.ac.uk>
* Merged TotalVisibleMomentum and CalMET
* Added pT ranges to Vetoed final state projection
2007-05-27 Jon Butterworth <jmb@hep.ucl.ac.uk>
* Fixed initialization of VetoedFinalStateProjection in ExampleTree
2007-05-27 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* include/Rivet/Projections/KtJets.*: Make sure the KtEvent is
deleted properly.
2007-05-26 Jon Butterworth <jmb@hep.ucl.ac.uk>
* Added leptons to the ExampleTree.
* Added TotalVisibleEnergy projection, and added output to ExampleTree.
2007-05-25 Jon Butterworth <jmb@hep.ucl.ac.uk>
* Added a charged lepton projection
2007-05-23 Andy Buckley <andy@insectnation.org>
* src/Analysis/HepEx0409040.cc: Changed range of the histograms to
the "pi" range rather than the "128" range.
* src/Analysis/Analysis.cc: Fixed a bug in the AIDA path building.
Histogram auto-booking now works.
2007-05-23 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* src/Analysis/HepEx9506012.cc: Now uses the histogram booking
function in the Analysis class.
2007-05-23 Jon Butterworth <jmb@hep.ucl.ac.uk>
* Fixed bug in PRD65092002 (was failing on zero jets)
2007-05-23 Andy Buckley <andy@insectnation.org>
* Added (but haven't properly tested) a VetoedFinalState projection.
* Added normalize() method for AIDA 1D histograms.
* Added configure checking for Mac OS X version, and setting the
development target flag accordingly.
2007-05-22 Andy Buckley <andy@insectnation.org>
* Added an ostream method for AnalysisName enums.
* Converted Analyses and Projections to use projection lists, cuts
and beam constraints.
* Added beam pair combining to the BeamPair sets of Projections
by finding set meta-intersections.
* Added methods to Cuts, Analysis and Projection to make Cut
definition easier.
* Fixed default fall-through in cut handling switch statement and
now using -numeric_limits<double>::max() rather than min()
* Added more control of logging presentation via static flag
methods on Log.
2007-05-13 Andy Buckley <andy@insectnation.org>
* Added self-consistency checking mechanisms for Cuts and Beam
* Re-implemented the cut-handling part of RivetInfo as a Cuts class.
* Changed names of Analysis and Projection name() and handler()
methods to getName() and getHandler() to be more consistent with
the rest of the public method names in those classes.
2007-05-02 Andy Buckley <andy@insectnation.org>
* Added auto-booking of histogram bins from AIDA XML files. The
AIDA files are located via a C++ function which is generated from
RivetPaths.cc.in by running configure.
2007-04-18 Andy Buckley <andy@insectnation.org>
* Added a preliminary version of the Rick Field UE analysis, under
the name PRD65092002.
2007-04-19 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* src/Analysis/HepEx0409040.cc: The reason this did not compile
under gcc-4 is that some iterators into a vector were wrongly
assued to be pointers and were initialized to 0 and later compared
to 0. I've changed this to initialize to end() of the
corresponding vector and to compare with the same end() later.
2007-04-05 Andy Buckley <andy@insectnation.org>
* Lots of name changes in anticipation of the MCNet
school. RivetHandler is now AnalysisHandler (since that's what it
does!), BeamParticle has become ParticleName, and RivetInfo has
been split into Cut and BeamConstraint portions.
* Added BeamConstraint mechanism, which can be used to determine
if an analysis is compatible with the beams being used in the
generator. The ParticleName includes an "ANY" wildcard for this
purpose.
2006-03-19 Andy Buckley <andy@insectnation.org>
* Added "rivet" executable which can read in HepMC ASCII dump
files and apply Rivet analyses on the events.
2007-02-24 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* src/Projections/KtJets.cc: Added comparison of member variables
in compare() function
* all: Merged changes from polymorphic-projections branch into
trunk
2007-02-17 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* all: projections and analysis handlers: All projections which
uses other projctions now has a pointer rather than a copy of
those projections to allow for polymorphism. The constructors has
also been changed to require the used projections themselves,
rather than the arguments needed to construct them.
2007-02-17 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* src/Projections/FinalState.cc,
include/Rivet/Projections/FinalState.icc (Rivet),
include/Rivet/Projections/FinalState.hh: Added cut in transverse
momentum on the particles to be included in the final state.
2007-02-06 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* include/LWH/HistogramFactory.h: Fixed divide-by-zero in divide
function. Also fixed bug in error calculation in divide
function. Introduced checkBin function to make sure two histograms
are equal even if they have variable bin widths.
* include/LWH/Histogram1D.h: In normalize(double), do not do anything
if the sum of the bins are zero to avoid dividing by zero.
2007-01-20 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* src/Test/testLWH.cc: Modified to output files using the Tree.
* configure.ac: Removed AC_CONFIG_AUX_DIR([include/Rivet/Config])
since the directory does not exist anymore.
2006-12-21 Andy Buckley <andy@insectnation.org>
* Rivet will now conditionally install the AIDA and LWH headers if
it can't find them when configure'ing.
* Started integrating Leif's LWH package to fulfill the AIDA
duties.
* Replaced multitude of CLHEP wrapper headers with a single
RivetCLHEP.h header.
2006-11-20 Andy Buckley <andy@insectnation.org>
* Introduced log4cpp logging.
* Added analysis enum, which can be used as input to an analysis
factory by Rivet users.
2006-11-02 Andy Buckley <andy@insectnation.org>
* Yet more, almost pointless, administrative moving around of
things with the intention of making the structure a bit
better-defined:
* The RivetInfo and RivetHandler classes have been
moved from src/Analysis into src as they are really the main Rivet
interface classes. The Rivet.h header has also been moved into the
"header root".
* The build of a single shared library in lib has been disabled,
with the library being built instead in src.
2006-10-14 Andy Buckley <andy@insectnation.org>
* Introduced a minimal subset of the Sherpa math tools, such as
Vector{3,4}D, Matrix, etc. The intention is to eventually cut the
dependency on CLHEP.
2006-07-28 Andy Buckley <andy@insectnation.org>
* Moving things around: all sources now in directories under src
2006-06-04 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* Analysis/Examples/HZ95108.*: Now uses CentralEtHCM. Also set GeV
units on the relevant histograms.
* Projections/CentralEtHCM.*: Making a special class just to get
out one number - the summed Et in the central rapidity bin - may
seem like an overkill. But in case some one else might nees it...
2006-06-03 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* Analysis/Examples/HZ95108.*: Added the hz95108 energy flow
analysis from HZtool.
* Projections/DISLepton.*: Since many HERA measurements do not
care if we have electron or positron beam, it is now possible to
specify lepton or anti-lepton.
* Projections/Event.*: Added member and access function for the
weight of an event (taken from the GenEvent object.weights()[0].
* Analysis/RivetHandler.*: Now depends explicitly on the AIDA
interface. An AIDA analysis factory must be specified in the
constructor, where a tree and histogram factory is automatically
created. Added access functions to the relevant AIDA objects.
* Analysis/AnalysisBase.*: Added access to the RivetHandler and
its AIDA factories.
2005-12-27 Leif Lonnblad <Leif.Lonnblad@thep.lu.se>
* configure.ac: Added -I$THEPEGPATH/include to AM_CPPFLAGS.
* Config/Rivet.h: Added some std incudes and using std::
declaration.
* Analysis/RivetInfo.*: Fixed some bugs. The RivetInfo facility
now works, although it has not been thoroughly tested.
* Analysis/Examples/TestMultiplicity.*: Re-introduced
FinalStateHCM for testing purposes but commented it away again.
* .: Made a number of changes to implement handling of RivetInfo
objects.
diff --git a/analyses/Makefile.am b/analyses/Makefile.am
--- a/analyses/Makefile.am
+++ b/analyses/Makefile.am
@@ -1,53 +1,54 @@
AUTOMAKE_OPTIONS = -Wno-portability
+SHELL := bash -O extglob
if ENABLE_ANALYSES
PLUGIN_DIRS = $(shell ls -d $(srcdir)/plugin*)
PLUGIN_NAMES = $(notdir $(subst plugin,,$(PLUGIN_DIRS)))
PLUGIN_LIBS = $(patsubst %,Rivet%Analyses.so,$(PLUGIN_NAMES))
PLUGIN_DATAFILES = $(shell ls $(abs_srcdir)/plugin*/*.{info,plot,yoda})
CLEANFILES = $(PLUGIN_LIBS)
EXTRA_DIST = $(PLUGIN_DIRS)
%.so:
@+echo && RIVET_BUILDPLUGIN_BEFORE_INSTALL=1 bash $(top_builddir)/bin/rivet-buildplugin -j2 $@ $^ -I$(top_builddir)/include
-RivetALICEAnalyses.so: $(shell ls $(srcdir)/pluginALICE/*.cc)
-RivetATLASAnalyses.so: $(shell ls $(srcdir)/pluginATLAS/*.cc)
-RivetCDFAnalyses.so : $(shell ls $(srcdir)/pluginCDF/*.cc)
-RivetCMSAnalyses.so : $(shell ls $(srcdir)/pluginCMS/*.cc)
-RivetD0Analyses.so : $(shell ls $(srcdir)/pluginD0/*.cc)
-RivetHERAAnalyses.so : $(shell ls $(srcdir)/pluginHERA/*.cc)
-RivetLEPAnalyses.so : $(shell ls $(srcdir)/pluginLEP/*.cc)
-RivetLHCbAnalyses.so : $(shell ls $(srcdir)/pluginLHCb/*.cc)
-RivetLHCfAnalyses.so : $(shell ls $(srcdir)/pluginLHCf/*.cc)
-RivetMCAnalyses.so : $(shell ls $(srcdir)/pluginMC/*.cc)
-RivetMiscAnalyses.so : $(shell ls $(srcdir)/pluginMisc/*.cc)
-RivetPetraAnalyses.so: $(shell ls $(srcdir)/pluginPetra/*.cc)
-RivetRHICAnalyses.so : $(shell ls $(srcdir)/pluginRHIC/*.cc)
-RivetSPSAnalyses.so : $(shell ls $(srcdir)/pluginSPS/*.cc)
-RivetTOTEMAnalyses.so: $(shell ls $(srcdir)/pluginTOTEM/*.cc)
+RivetALICEAnalyses.so: $(shell ls $(srcdir)/pluginALICE/!(tmp)*.cc)
+RivetATLASAnalyses.so: $(shell ls $(srcdir)/pluginATLAS/!(tmp)*.cc)
+RivetCDFAnalyses.so : $(shell ls $(srcdir)/pluginCDF/!(tmp)*.cc)
+RivetCMSAnalyses.so : $(shell ls $(srcdir)/pluginCMS/!(tmp)*.cc)
+RivetD0Analyses.so : $(shell ls $(srcdir)/pluginD0/!(tmp)*.cc)
+RivetHERAAnalyses.so : $(shell ls $(srcdir)/pluginHERA/!(tmp)*.cc)
+RivetLEPAnalyses.so : $(shell ls $(srcdir)/pluginLEP/!(tmp)*.cc)
+RivetLHCbAnalyses.so : $(shell ls $(srcdir)/pluginLHCb/!(tmp)*.cc)
+RivetLHCfAnalyses.so : $(shell ls $(srcdir)/pluginLHCf/!(tmp)*.cc)
+RivetMCAnalyses.so : $(shell ls $(srcdir)/pluginMC/!(tmp)*.cc)
+RivetMiscAnalyses.so : $(shell ls $(srcdir)/pluginMisc/!(tmp)*.cc)
+RivetPetraAnalyses.so: $(shell ls $(srcdir)/pluginPetra/!(tmp)*.cc)
+RivetRHICAnalyses.so : $(shell ls $(srcdir)/pluginRHIC/!(tmp)*.cc)
+RivetSPSAnalyses.so : $(shell ls $(srcdir)/pluginSPS/!(tmp)*.cc)
+RivetTOTEMAnalyses.so: $(shell ls $(srcdir)/pluginTOTEM/!(tmp)*.cc)
all-local: $(PLUGIN_LIBS) $(PLUGIN_DATAFILES)
mkdir -p $(builddir)/data
$(LN_S) -f $(abs_srcdir)/plugin*/*.{info,plot,yoda} $(builddir)/data
clean-local:
rm -rf data
install-exec-local: $(PLUGIN_LIBS)
$(INSTALL) $^ $(DESTDIR)$(libdir)
install-data-local: $(PLUGIN_DATAFILES)
@echo "Installing analysis data files..."
$(mkdir_p) $(DESTDIR)$(pkgdatadir)
cp $(abs_srcdir)/plugin*/*.{info,plot,yoda} $(DESTDIR)$(pkgdatadir)/
#@$(install_sh_DATA) $^ $(DESTDIR)$(pkgdatadir)
uninstall-local:
cd $(DESTDIR)$(libdir) && rm -f $(PLUGIN_LIBS)
@echo "Uninstalling analysis data files..."
rm -f $(DESTDIR)$(pkgdatadir)/*.{info,plot,yoda}
endif
diff --git a/analyses/pluginALICE/ALICE_2017_I1620477.cc b/analyses/pluginALICE/ALICE_2017_I1620477.cc
new file mode 100644
--- /dev/null
+++ b/analyses/pluginALICE/ALICE_2017_I1620477.cc
@@ -0,0 +1,89 @@
+//-*- C++ -*-
+#include "Rivet/Analysis.hh"
+#include "Rivet/Projections/UnstableFinalState.hh"
+#include "Rivet/Tools/ParticleUtils.hh"
+
+namespace Rivet {
+
+
+ class ALICE_2017_I1620477 : public Analysis {
+ public:
+
+ /// Constructor
+ ALICE_2017_I1620477()
+ : Analysis("ALICE_2017_I1620477"),
+ _rapmax(0.8)
+ { }
+
+
+ void init() {
+
+ const UnstableFinalState ufs(Cuts::absrap < _rapmax);
+ addProjection(ufs, "UFS");
+
+ book(_h_pi0,1,1,1);
+ book(_h_eta,2,1,1);
+ book(_h_etaToPion,8,1,1);
+
+ // temporary plots with the binning of _h_etaToPion
+ // to construct the eta/pi0 ratio in the end
+ book(_temp_h_pion,"TMP/h_pion",refData(8,1,1));
+ book(_temp_h_eta, "TMP/h_eta", refData(8,1,1));
+ }
+
+
+ void analyze(const Event& event) {
+
+ const UnstableFinalState& ufs = applyProjection<UnstableFinalState>(event, "UFS");
+
+ for(auto p: ufs.particles()) {
+
+ if (p.pid() == 111) {
+ // neutral pion; ALICE corrects for pi0 feed-down
+ if ( !(p.hasAncestor(310) || p.hasAncestor(130) || // K0_s, K0_l
+ p.hasAncestor(321) || p.hasAncestor(-321) || // K+,K-
+ p.hasAncestor(3122) || p.hasAncestor(-3122) || // Lambda, Anti-Lambda
+ p.hasAncestor(3212) || p.hasAncestor(-3212) || // Sigma0
+ p.hasAncestor(3222) || p.hasAncestor(-3222) || // Sigmas
+ p.hasAncestor(3112) || p.hasAncestor(-3112) || // Sigmas
+ p.hasAncestor(3322) || p.hasAncestor(-3322) || // Cascades
+ p.hasAncestor(3312) || p.hasAncestor(-3312) )) // Cascades
+ {
+ _h_pi0->fill(p.pT()/GeV, 1. /(TWOPI*p.pT()/GeV*2*_rapmax));
+ _temp_h_pion->fill(p.pT()/GeV);
+ }
+ }
+ else if (p.pid() == 221) {
+ // eta meson
+ _h_eta->fill(p.pT()/GeV, 1. /(TWOPI*p.pT()/GeV*2*_rapmax));
+ _temp_h_eta->fill(p.pT()/GeV);
+
+ }
+ }
+ }
+
+
+ void finalize() {
+
+ scale(_h_pi0, crossSection()/picobarn/sumOfWeights());
+ scale(_h_eta, crossSection()/picobarn/sumOfWeights());
+ divide(_temp_h_eta, _temp_h_pion, _h_etaToPion);
+
+ }
+
+
+ private:
+
+ double _rapmax;
+ Histo1DPtr _h_pi0;
+ Histo1DPtr _h_eta;
+ Histo1DPtr _temp_h_pion;
+ Histo1DPtr _temp_h_eta;
+ Scatter2DPtr _h_etaToPion;
+
+ };
+
+
+ DECLARE_RIVET_PLUGIN(ALICE_2017_I1620477);
+
+}
diff --git a/analyses/pluginALICE/ALICE_2017_I1620477.info b/analyses/pluginALICE/ALICE_2017_I1620477.info
new file mode 100644
--- /dev/null
+++ b/analyses/pluginALICE/ALICE_2017_I1620477.info
@@ -0,0 +1,37 @@
+Name: ALICE_2017_I1620477
+Year: 2017
+Summary: Invariant cross section of neutral pions at mid-rapidity in $8\,$TeV pp collisions
+Experiment: ALICE
+Collider: LHC
+InspireID: 1620477
+Status: VALIDATED
+Authors:
+ - Hendrik Poppenborg hendrik.poppenborg@cern.ch
+References:
+ - "Eur. Phys. J. C (2018) 78: 263"
+ - 10.1140/epjc/s10052-018-5612-8
+ - arXiv:hep-ex/1708.08745
+Beams: [p+, p+]
+Energies: [8000]
+Description:
+ Transverse momentum spectra of neutral pions and $\eta$ mesons measured at
+ $0.3<p_T<35~GeV/c$ and $0.5<p_T<35~GeV/c$, respectively, and the ratio $\pi^{0}/\eta$,
+ obtained at mid-rapidity in $pp$ collisions at $\sqrt(s) = 8\,$TeV with ALICE at the LHC.
+BibKey: Acharya:2017tlv
+BibTex: '@article{Acharya:2017tlv,
+ author = "Acharya, Shreyasi and others",
+ title = "{$\pi^0$ and $\eta$ meson production in proton-proton
+ collisions at $\sqrt{s}=8$ TeV}",
+ collaboration = "ALICE",
+ journal = "Eur. Phys. J.",
+ volume = "C78",
+ year = "2018",
+ number = "3",
+ pages = "263",
+ doi = "10.1140/epjc/s10052-018-5612-8",
+ eprint = "1708.08745",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ reportNumber = "CERN-EP-2017-216",
+ SLACcitation = "%%CITATION = ARXIV:1708.08745;%%"
+}'
diff --git a/analyses/pluginALICE/ALICE_2017_I1620477.plot b/analyses/pluginALICE/ALICE_2017_I1620477.plot
new file mode 100644
--- /dev/null
+++ b/analyses/pluginALICE/ALICE_2017_I1620477.plot
@@ -0,0 +1,29 @@
+# BEGIN PLOT /ALICE_2017_I1620477/d01-x01-y01
+Title=$\pi^0$ invariant cross section at mid-rapidity at $\sqrt{s}=8$\,TeV
+XLabel=$p_\perp$ (GeV/$c$)
+YLabel=$E\frac{d^3\sigma}{dp^3}$ ($pb/$(GeV$^2c^3$))
+YMin=1e0
+YMax=1e12
+LogX=1
+LogY=1
+# END PLOT
+
+# BEGIN PLOT /ALICE_2017_I1620477/d02-x01-y01
+Title=$\eta$ invariant cross section at mid-rapidity at $\sqrt{s}=8$\,TeV
+XLabel=$p_\perp$ (GeV/$c$)
+YLabel=$E\frac{d^3\sigma}{dp^3}$ ($pb/$(GeV$^2c^3$))
+YMin=1e0
+YMax=1e11
+LogX=1
+LogY=1
+# END PLOT
+
+# BEGIN PLOT /ALICE_2017_I1620477/d08-x01-y01
+Title=$\eta/\pi^0$ ratio at $\sqrt{s}=8$\,TeV
+XLabel=$p_\perp$ (GeV/$c$)
+#YLabel=$E\frac{d^3\sigma}{dp^3}$ ($pb/$(GeV$^2c^3$))
+YMin=-0.05
+YMax=1.05
+LogX=1
+LogY=0
+# END PLOT
diff --git a/analyses/pluginALICE/ALICE_2017_I1620477.yoda b/analyses/pluginALICE/ALICE_2017_I1620477.yoda
new file mode 100644
--- /dev/null
+++ b/analyses/pluginALICE/ALICE_2017_I1620477.yoda
@@ -0,0 +1,166 @@
+BEGIN YODA_SCATTER2D /REF/ALICE_2017_I1620477/d01-x01-y01
+IsRef=1
+Path=/REF/ALICE_2017_I1620477/d01-x01-y01
+Title=doi:10.17182/hepdata.79044.v1/t1
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.493000e-01 4.930000e-02 5.070000e-02 1.979000e+11 5.581400e+10 5.581400e+10
+4.487000e-01 4.870000e-02 5.130000e-02 8.742000e+10 1.654000e+10 1.654000e+10
+5.485000e-01 4.850000e-02 5.150000e-02 4.861000e+10 7.591630e+09 7.591630e+09
+6.939000e-01 9.390000e-02 1.061000e-01 2.221000e+10 2.926230e+09 2.926230e+09
+8.942000e-01 9.420000e-02 1.058000e-01 1.003400e+10 9.095600e+08 9.095600e+08
+1.094600e+00 9.460000e-02 1.054000e-01 4.673000e+09 3.117850e+08 3.117850e+08
+1.295100e+00 9.510000e-02 1.049000e-01 2.370500e+09 1.190910e+08 1.190910e+08
+1.495400e+00 9.540000e-02 1.046000e-01 1.258500e+09 6.928300e+07 6.928300e+07
+1.695800e+00 9.580000e-02 1.042000e-01 7.376000e+08 3.889280e+07 3.889280e+07
+1.896100e+00 9.610000e-02 1.039000e-01 4.299400e+08 2.214590e+07 2.214590e+07
+2.096300e+00 9.630000e-02 1.037000e-01 2.642700e+08 1.341780e+07 1.341780e+07
+2.296500e+00 9.650000e-02 1.035000e-01 1.731300e+08 8.750980e+06 8.750980e+06
+2.496800e+00 9.680000e-02 1.032000e-01 1.119700e+08 5.623560e+06 5.623560e+06
+2.696900e+00 9.690000e-02 1.031000e-01 7.666000e+07 3.842460e+06 3.842460e+06
+2.897100e+00 9.710000e-02 1.029000e-01 5.114200e+07 2.591990e+06 2.591990e+06
+3.097200e+00 9.720000e-02 1.028000e-01 3.564600e+07 1.809600e+06 1.809600e+06
+3.297400e+00 9.740000e-02 1.026000e-01 2.522300e+07 1.295390e+06 1.295390e+06
+3.497500e+00 9.750000e-02 1.025000e-01 1.872400e+07 9.695570e+05 9.695570e+05
+3.697600e+00 9.760000e-02 1.024000e-01 1.383100e+07 7.202870e+05 7.202870e+05
+3.897700e+00 9.770000e-02 1.023000e-01 9.907000e+06 5.277310e+05 5.277310e+05
+4.236700e+00 2.367000e-01 2.633000e-01 6.252000e+06 3.238580e+05 3.238580e+05
+4.737900e+00 2.379000e-01 2.621000e-01 3.291100e+06 1.776060e+05 1.776060e+05
+5.238900e+00 2.389000e-01 2.611000e-01 1.847600e+06 1.025010e+05 1.025010e+05
+5.739700e+00 2.397000e-01 2.603000e-01 1.036300e+06 6.261310e+04 6.261310e+04
+6.240500e+00 2.405000e-01 2.595000e-01 6.499000e+05 4.370490e+04 4.370490e+04
+6.741100e+00 2.411000e-01 2.589000e-01 4.208000e+05 2.854190e+04 2.854190e+04
+7.241700e+00 2.417000e-01 2.583000e-01 2.679300e+05 1.829880e+04 1.829880e+04
+7.742200e+00 2.422000e-01 2.578000e-01 1.860000e+05 1.285540e+04 1.285540e+04
+8.242600e+00 2.426000e-01 2.574000e-01 1.198300e+05 8.569770e+03 8.569770e+03
+8.743000e+00 2.430000e-01 2.570000e-01 8.486000e+04 6.158320e+03 6.158320e+03
+9.474000e+00 4.740000e-01 5.260000e-01 5.388000e+04 3.818860e+03 3.818860e+03
+1.047630e+01 4.763000e-01 5.237000e-01 3.000390e+04 2.157710e+03 2.157710e+03
+1.147820e+01 4.782000e-01 5.218000e-01 1.700000e+04 1.243170e+03 1.243170e+03
+1.247990e+01 4.799000e-01 5.201000e-01 9.998000e+03 7.580240e+02 7.580240e+02
+1.348130e+01 4.813000e-01 5.187000e-01 6.589000e+03 5.237880e+02 5.237880e+02
+1.448250e+01 4.825000e-01 5.175000e-01 4.527000e+03 3.775340e+02 3.775340e+02
+1.548360e+01 4.836000e-01 5.164000e-01 3.138000e+03 2.688290e+02 2.688290e+02
+1.648450e+01 4.845000e-01 5.155000e-01 1.959000e+03 1.880450e+02 1.880450e+02
+1.748540e+01 4.854000e-01 5.146000e-01 1.566800e+03 1.531020e+02 1.531020e+02
+1.894600e+01 9.460000e-01 1.054000e+00 9.095000e+02 8.345500e+01 8.345500e+01
+2.095090e+01 9.509000e-01 1.049100e+00 4.839000e+02 6.076030e+01 6.076030e+01
+2.382770e+01 1.827700e+00 2.172300e+00 1.737000e+02 2.574490e+01 2.574490e+01
+2.785160e+01 1.851600e+00 2.148400e+00 7.426000e+01 1.250200e+01 1.250200e+01
+3.229960e+01 2.299600e+00 2.700400e+00 3.079000e+01 6.933150e+00 6.933150e+00
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ALICE_2017_I1620477/d02-x01-y01
+IsRef=1
+Path=/REF/ALICE_2017_I1620477/d02-x01-y01
+Title=doi:10.17182/hepdata.79044.v1/t2
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+6.551000e-01 1.551000e-01 1.449000e-01 2.277000e+09 1.108569e+09 1.108569e+09
+9.453000e-01 1.453000e-01 1.547000e-01 9.080000e+08 3.040066e+08 3.040066e+08
+1.243300e+00 1.433000e-01 1.567000e-01 6.158000e+08 1.111445e+08 1.111445e+08
+1.543000e+00 1.430000e-01 1.570000e-01 2.655000e+08 3.961414e+07 3.961414e+07
+1.843100e+00 1.431000e-01 1.569000e-01 1.687000e+08 2.270352e+07 2.270352e+07
+2.188400e+00 1.884000e-01 2.116000e-01 6.480000e+07 7.608055e+06 7.608055e+06
+2.589300e+00 1.893000e-01 2.107000e-01 3.210000e+07 3.156264e+06 3.156264e+06
+2.990100e+00 1.901000e-01 2.099000e-01 1.612000e+07 1.788323e+06 1.788323e+06
+3.390800e+00 1.908000e-01 2.092000e-01 8.540000e+06 1.003374e+06 1.003374e+06
+3.791500e+00 1.915000e-01 2.085000e-01 5.377000e+06 6.176504e+05 6.176504e+05
+4.237700e+00 2.377000e-01 2.623000e-01 2.898000e+06 3.519801e+05 3.519801e+05
+4.738600e+00 2.386000e-01 2.614000e-01 1.428300e+06 1.750742e+05 1.750742e+05
+5.459400e+00 4.594000e-01 5.406000e-01 6.399000e+05 6.826888e+04 6.826888e+04
+6.464500e+00 4.645000e-01 5.355000e-01 2.182000e+05 2.468299e+04 2.468299e+04
+7.468500e+00 4.685000e-01 5.315000e-01 1.033800e+05 1.256032e+04 1.256032e+04
+8.471700e+00 4.717000e-01 5.283000e-01 5.020000e+04 6.678031e+03 6.678031e+03
+9.474300e+00 4.743000e-01 5.257000e-01 2.281000e+04 3.130575e+03 3.130575e+03
+1.090970e+01 9.097000e-01 1.090300e+00 1.032000e+04 1.322784e+03 1.322784e+03
+1.292230e+01 9.223000e-01 1.077700e+00 4.157000e+03 5.455053e+02 5.455053e+02
+1.493180e+01 9.318000e-01 1.068200e+00 1.655000e+03 2.267377e+02 2.267377e+02
+1.693930e+01 9.393000e-01 1.060700e+00 8.168000e+02 1.136116e+02 1.136116e+02
+1.894530e+01 9.453000e-01 1.054700e+00 4.091000e+02 6.117336e+01 6.117336e+01
+2.220920e+01 2.209200e+00 2.790800e+00 1.496400e+02 2.152923e+01 2.152923e+01
+2.725950e+01 2.259500e+00 2.740500e+00 4.017000e+01 7.743752e+00 7.743752e+00
+3.229500e+01 2.295000e+00 2.705000e+00 1.592000e+01 3.791781e+00 3.791781e+00
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ALICE_2017_I1620477/d03-x01-y01
+IsRef=1
+Path=/REF/ALICE_2017_I1620477/d03-x01-y01
+Title=doi:10.17182/hepdata.79044.v1/t3
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.760000e+03 0.000000e+00 0.000000e+00 1.803000e+00 7.379827e-01 7.379827e-01
+8.000000e+03 0.000000e+00 0.000000e+00 3.291000e+00 1.015725e+00 1.015725e+00
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ALICE_2017_I1620477/d04-x01-y01
+IsRef=1
+Path=/REF/ALICE_2017_I1620477/d04-x01-y01
+Title=doi:10.17182/hepdata.79044.v1/t4
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.760000e+03 0.000000e+00 0.000000e+00 2.500000e-01 9.578565e-02 9.578565e-02
+8.000000e+03 0.000000e+00 0.000000e+00 1.630000e-01 6.641717e-02 6.641717e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ALICE_2017_I1620477/d05-x01-y01
+IsRef=1
+Path=/REF/ALICE_2017_I1620477/d05-x01-y01
+Title=doi:10.17182/hepdata.79044.v1/t5
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.760000e+03 0.000000e+00 0.000000e+00 1.390000e-01 7.813899e-02 7.813899e-02
+8.000000e+03 0.000000e+00 0.000000e+00 5.000000e-02 2.545640e-02 2.545640e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ALICE_2017_I1620477/d06-x01-y01
+IsRef=1
+Path=/REF/ALICE_2017_I1620477/d06-x01-y01
+Title=doi:10.17182/hepdata.79044.v1/t6
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.760000e+03 0.000000e+00 0.000000e+00 4.510000e-01 1.529094e-01 1.529094e-01
+8.000000e+03 0.000000e+00 0.000000e+00 4.260000e-01 2.981007e-02 2.981007e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ALICE_2017_I1620477/d07-x01-y01
+IsRef=1
+Path=/REF/ALICE_2017_I1620477/d07-x01-y01
+Title=doi:10.17182/hepdata.79044.v1/t7
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.760000e+03 0.000000e+00 0.000000e+00 6.470000e-01 1.606965e-01 1.606965e-01
+8.000000e+03 0.000000e+00 0.000000e+00 9.310000e-01 1.855567e-01 1.855567e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ALICE_2017_I1620477/d08-x01-y01
+IsRef=1
+Path=/REF/ALICE_2017_I1620477/d08-x01-y01
+Title=doi:10.17182/hepdata.79044.v1/t8
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+6.500000e-01 1.500000e-01 1.500000e-01 8.450000e-02 4.048135e-02 4.048135e-02
+9.500000e-01 1.500000e-01 1.500000e-01 1.172000e-01 3.769204e-02 3.769204e-02
+1.250000e+00 1.500000e-01 1.500000e-01 2.272000e-01 3.643583e-02 3.643583e-02
+1.550000e+00 1.500000e-01 1.500000e-01 2.420000e-01 3.204122e-02 3.204122e-02
+1.850000e+00 1.500000e-01 1.500000e-01 3.428000e-01 3.728874e-02 3.728874e-02
+2.200000e+00 2.000000e-01 2.000000e-01 2.986000e-01 2.674191e-02 2.674191e-02
+2.600000e+00 2.000000e-01 2.000000e-01 3.469000e-01 2.795514e-02 2.795514e-02
+3.000000e+00 2.000000e-01 2.000000e-01 3.692000e-01 3.246798e-02 3.246798e-02
+3.400000e+00 2.000000e-01 2.000000e-01 3.972000e-01 3.744009e-02 3.744009e-02
+3.800000e+00 2.000000e-01 2.000000e-01 4.553000e-01 4.307679e-02 4.307679e-02
+4.250000e+00 2.500000e-01 2.500000e-01 4.678000e-01 5.051663e-02 5.051663e-02
+4.750000e+00 2.500000e-01 2.500000e-01 4.370000e-01 4.705486e-02 4.705486e-02
+5.500000e+00 5.000000e-01 5.000000e-01 4.673000e-01 4.457488e-02 4.457488e-02
+6.500000e+00 5.000000e-01 5.000000e-01 4.283000e-01 4.418518e-02 4.418518e-02
+7.500000e+00 5.000000e-01 5.000000e-01 4.732000e-01 5.050594e-02 5.050594e-02
+8.500000e+00 5.000000e-01 5.000000e-01 4.927000e-01 5.671155e-02 5.671155e-02
+9.500000e+00 5.000000e-01 5.000000e-01 4.283000e-01 5.102989e-02 5.102989e-02
+1.100000e+01 1.000000e+00 1.000000e+00 4.197000e-01 4.834729e-02 4.834729e-02
+1.300000e+01 1.000000e+00 1.000000e+00 5.476000e-01 6.600886e-02 6.600886e-02
+1.500000e+01 1.000000e+00 1.000000e+00 4.497000e-01 6.618232e-02 6.618232e-02
+1.700000e+01 1.000000e+00 1.000000e+00 4.147000e-01 6.896057e-02 6.896057e-02
+1.900000e+01 1.000000e+00 1.000000e+00 4.200000e-01 8.388713e-02 8.388713e-02
+2.250000e+01 2.500000e+00 2.500000e+00 4.480000e-01 1.563490e-01 1.563490e-01
+END YODA_SCATTER2D
+
diff --git a/analyses/pluginATLAS/ATLAS_2012_I1204784.cc b/analyses/pluginATLAS/ATLAS_2012_I1204784.cc
--- a/analyses/pluginATLAS/ATLAS_2012_I1204784.cc
+++ b/analyses/pluginATLAS/ATLAS_2012_I1204784.cc
@@ -1,146 +1,146 @@
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/ZFinder.hh"
#include "Rivet/Tools/BinnedHistogram.hh"
namespace Rivet {
/// ATLAS Z phi* measurement
class ATLAS_2012_I1204784 : public Analysis {
public:
/// Constructor
ATLAS_2012_I1204784()
: Analysis("ATLAS_2012_I1204784")
{ }
public:
/// Book histograms and initialise projections before the run
void init() {
FinalState fs;
Cut cuts = Cuts::abseta < 2.4 && Cuts::pT > 20*GeV;
ZFinder zfinder_dressed_el(fs, cuts, PID::ELECTRON, 66*GeV, 116*GeV, 0.1, ZFinder::CLUSTERNODECAY);
declare(zfinder_dressed_el, "ZFinder_dressed_el");
ZFinder zfinder_bare_el(fs, cuts, PID::ELECTRON, 66*GeV, 116*GeV, 0.0, ZFinder::NOCLUSTER);
declare(zfinder_bare_el, "ZFinder_bare_el");
ZFinder zfinder_dressed_mu(fs, cuts, PID::MUON, 66*GeV, 116*GeV, 0.1, ZFinder::CLUSTERNODECAY);
declare(zfinder_dressed_mu, "ZFinder_dressed_mu");
ZFinder zfinder_bare_mu(fs, cuts, PID::MUON, 66*GeV, 116*GeV, 0.0, ZFinder::NOCLUSTER);
declare(zfinder_bare_mu, "ZFinder_bare_mu");
// Book histograms
// Single-differential plots
book(_hist_zphistar_el_bare ,1, 1, 1);
book(_hist_zphistar_mu_bare ,1, 1, 2);
book(_hist_zphistar_el_dressed ,2, 1, 1);
book(_hist_zphistar_mu_dressed ,2, 1, 2);
// Double-differential plots
{Histo1DPtr tmp; _h_phistar_el_bare.add(0.0, 0.8, book(tmp, 3, 1, 1));}
{Histo1DPtr tmp; _h_phistar_el_bare.add(0.8, 1.6, book(tmp, 3, 1, 2));}
{Histo1DPtr tmp; _h_phistar_el_bare.add(1.6, 10.0, book(tmp, 3, 1, 3));}
{Histo1DPtr tmp; _h_phistar_el_dressed.add(0.0, 0.8, book(tmp, 3, 2, 1));}
{Histo1DPtr tmp; _h_phistar_el_dressed.add(0.8, 1.6, book(tmp, 3, 2, 2));}
{Histo1DPtr tmp; _h_phistar_el_dressed.add(1.6, 10.0, book(tmp, 3, 2, 3));}
{Histo1DPtr tmp; _h_phistar_mu_bare.add(0.0, 0.8, book(tmp, 4, 1, 1));}
{Histo1DPtr tmp; _h_phistar_mu_bare.add(0.8, 1.6, book(tmp, 4, 1, 2));}
{Histo1DPtr tmp; _h_phistar_mu_bare.add(1.6, 10.0, book(tmp, 4, 1, 3));}
{Histo1DPtr tmp; _h_phistar_mu_dressed.add(0.0, 0.8, book(tmp, 4, 2, 1));}
{Histo1DPtr tmp; _h_phistar_mu_dressed.add(0.8, 1.6, book(tmp, 4, 2, 2));}
{Histo1DPtr tmp; _h_phistar_mu_dressed.add(1.6, 10.0, book(tmp, 4, 2, 3));}
}
/// Perform the per-event analysis
void analyze(const Event& event) {
const double weight = 1.0;
const ZFinder& zfinder_dressed_el = apply<ZFinder>(event, "ZFinder_dressed_el");
const ZFinder& zfinder_bare_el = apply<ZFinder>(event, "ZFinder_bare_el");
const ZFinder& zfinder_dressed_mu = apply<ZFinder>(event, "ZFinder_dressed_mu");
const ZFinder& zfinder_bare_mu = apply<ZFinder>(event, "ZFinder_bare_mu");
fillPlots(zfinder_dressed_el, _hist_zphistar_el_dressed, _h_phistar_el_dressed, weight);
fillPlots(zfinder_bare_el, _hist_zphistar_el_bare, _h_phistar_el_bare, weight);
fillPlots(zfinder_dressed_mu, _hist_zphistar_mu_dressed, _h_phistar_mu_dressed, weight);
fillPlots(zfinder_bare_mu, _hist_zphistar_mu_bare, _h_phistar_mu_bare, weight);
}
void fillPlots(const ZFinder& zfind, Histo1DPtr hist, BinnedHistogram& binnedHist, double weight) {
if (zfind.bosons().size() != 1) return;
- Particles leptons = zfind.constituents(cmpMomByPt);
+ Particles leptons = sortBy(zfind.constituents(), cmpMomByPt);
const FourMomentum lminus = leptons[0].charge() < 0 ? leptons[0].momentum() : leptons[1].momentum();
const FourMomentum lplus = leptons[0].charge() < 0 ? leptons[1].momentum() : leptons[0].momentum();
const double phi_acop = M_PI - deltaPhi(lminus, lplus);
const double costhetastar = tanh((lminus.eta()-lplus.eta())/2.0);
const double sin2thetastar = (costhetastar <= 1) ? 1.0 - sqr(costhetastar) : 0;
const double phistar = tan(phi_acop/2.0) * sqrt(sin2thetastar);
hist->fill(phistar, weight);
binnedHist.fill(zfind.bosons()[0].absrap(), phistar, weight);
}
/// Normalise histograms etc., after the run
void finalize() {
normalize(_hist_zphistar_el_dressed);
normalize(_hist_zphistar_el_bare);
normalize(_hist_zphistar_mu_dressed);
normalize(_hist_zphistar_mu_bare);
for (Histo1DPtr hist : _h_phistar_mu_dressed.histos()) { normalize(hist); }
for (Histo1DPtr hist : _h_phistar_mu_bare.histos()) { normalize(hist); }
for (Histo1DPtr hist : _h_phistar_el_bare.histos()) { normalize(hist); }
for (Histo1DPtr hist : _h_phistar_el_dressed.histos()) { normalize(hist); }
}
//@}
private:
BinnedHistogram _h_phistar_mu_dressed;
BinnedHistogram _h_phistar_mu_bare;
BinnedHistogram _h_phistar_el_dressed;
BinnedHistogram _h_phistar_el_bare;
Histo1DPtr _hist_zphistar_el_dressed;
Histo1DPtr _hist_zphistar_el_bare;
Histo1DPtr _hist_zphistar_mu_dressed;
Histo1DPtr _hist_zphistar_mu_bare;
Histo1DPtr _hist_zphistar_el_bare_1;
Histo1DPtr _hist_zphistar_el_bare_2;
Histo1DPtr _hist_zphistar_el_bare_3;
Histo1DPtr _hist_zphistar_el_dressed_1;
Histo1DPtr _hist_zphistar_el_dressed_2;
Histo1DPtr _hist_zphistar_el_dressed_3;
Histo1DPtr _hist_zphistar_mu_bare_1;
Histo1DPtr _hist_zphistar_mu_bare_2;
Histo1DPtr _hist_zphistar_mu_bare_3;
Histo1DPtr _hist_zphistar_mu_dressed_1;
Histo1DPtr _hist_zphistar_mu_dressed_2;
Histo1DPtr _hist_zphistar_mu_dressed_3;
};
// The hook for the plugin system
DECLARE_RIVET_PLUGIN(ATLAS_2012_I1204784);
}
diff --git a/analyses/pluginATLAS/ATLAS_2017_I1614149.cc b/analyses/pluginATLAS/ATLAS_2017_I1614149.cc
new file mode 100644
--- /dev/null
+++ b/analyses/pluginATLAS/ATLAS_2017_I1614149.cc
@@ -0,0 +1,351 @@
+// -*- C++ -*
+#include "Rivet/Analysis.hh"
+#include "Rivet/Projections/FinalState.hh"
+#include "Rivet/Projections/VetoedFinalState.hh"
+#include "Rivet/Projections/IdentifiedFinalState.hh"
+#include "Rivet/Projections/PromptFinalState.hh"
+#include "Rivet/Projections/DressedLeptons.hh"
+#include "Rivet/Projections/FastJets.hh"
+#include "Rivet/Projections/MissingMomentum.hh"
+#include "fastjet/tools/Filter.hh"
+
+// substructure includes included in fjcontrib-1.021 (http://fastjet.hepforge.org/contrib/)
+#include "Rivet/Tools/Nsubjettiness/Njettiness.hh"
+#include "Rivet/Tools/Nsubjettiness/Nsubjettiness.hh"
+#include "Rivet/Tools/Nsubjettiness/NjettinessPlugin.hh"
+
+namespace Rivet {
+ class ATLAS_2017_I1614149 : public Analysis {
+ public:
+
+ /// Constructor
+ ///@brief: Resolved and boosted ttbar l+jets cross sections at 13 TeV
+ DEFAULT_RIVET_ANALYSIS_CTOR(ATLAS_2017_I1614149);
+
+ void init() {
+ // Eta ranges
+ Cut eta_full = (Cuts::abseta < 5.0);
+ Cut lep_cuts = (Cuts::abseta < 2.5) && (Cuts::pT > 25*GeV);
+
+ // All final state particles
+ FinalState fs(eta_full);
+
+ IdentifiedFinalState all_photons(fs);
+ all_photons.acceptIdPair(PID::PHOTON);
+
+ // Get photons to dress leptons
+ IdentifiedFinalState ph_id(fs);
+ ph_id.acceptIdPair(PID::PHOTON);
+
+ // Projection to find the electrons
+ IdentifiedFinalState el_id(fs);
+ el_id.acceptIdPair(PID::ELECTRON);
+
+ PromptFinalState photons(ph_id);
+ photons.acceptTauDecays(true);
+ addProjection(photons, "photons");
+
+ PromptFinalState electrons(el_id);
+ electrons.acceptTauDecays(true);
+ DressedLeptons dressedelectrons(photons, electrons, 0.1, lep_cuts);
+ addProjection(dressedelectrons, "elecs");
+ DressedLeptons ewdressedelectrons(all_photons, electrons, 0.1, eta_full);
+
+ // Projection to find the muons
+ IdentifiedFinalState mu_id(fs);
+ mu_id.acceptIdPair(PID::MUON);
+
+ PromptFinalState muons(mu_id);
+ muons.acceptTauDecays(true);
+ DressedLeptons dressedmuons(photons, muons, 0.1, lep_cuts);
+ addProjection(dressedmuons, "muons");
+ DressedLeptons ewdressedmuons(all_photons, muons, 0.1, eta_full);
+
+ // Projection to find MET
+ declare(MissingMomentum(fs), "MET");
+
+ // remove prompt neutrinos from jet clustering
+ IdentifiedFinalState nu_id(fs);
+ nu_id.acceptNeutrinos();
+ PromptFinalState neutrinos(nu_id);
+ neutrinos.acceptTauDecays(true);
+
+ // Jet clustering.
+ VetoedFinalState vfs(fs);
+ vfs.addVetoOnThisFinalState(ewdressedelectrons);
+ vfs.addVetoOnThisFinalState(ewdressedmuons);
+ vfs.addVetoOnThisFinalState(neutrinos);
+ FastJets jets(vfs, FastJets::ANTIKT, 0.4);
+ jets.useInvisibles(true);
+ addProjection(jets, "jets");
+
+ // Addition of the large-R jets
+ VetoedFinalState vfs1(fs);
+ vfs1.addVetoOnThisFinalState(neutrinos);
+ FastJets fjets(vfs1, FastJets::ANTIKT, 1.);
+ fjets.useInvisibles(JetAlg::NO_INVISIBLES);
+ fjets.useMuons(JetAlg::NO_MUONS);
+ addProjection(fjets, "fjets");
+
+ bookHists("top_pt_res", 15);
+ bookHists("top_absrap_res", 17);
+ bookHists("ttbar_pt_res", 19);
+ bookHists("ttbar_absrap_res", 21);
+ bookHists("ttbar_m_res", 23);
+ bookHists("top_pt_boost", 25);
+ bookHists("top_absrap_boost", 27);
+
+ }
+
+ void analyze(const Event& event) {
+
+ // Get the selected objects, using the projections.
+ vector<DressedLepton> electrons = apply<DressedLeptons>(event, "elecs").dressedLeptons();
+ vector<DressedLepton> muons = apply<DressedLeptons>(event, "muons").dressedLeptons();
+ const Jets& jets = apply<FastJets>(event, "jets").jetsByPt(Cuts::pT > 25*GeV && Cuts::abseta < 2.5);
+ const PseudoJets& all_fjets = apply<FastJets>(event, "fjets").pseudoJetsByPt();
+
+
+ // get MET
+ const Vector3 met = apply<MissingMomentum>(event, "MET").vectorMPT();
+
+ Jets bjets, lightjets;
+ for (const Jet& jet : jets) {
+ bool b_tagged = jet.bTags(Cuts::pT > 5*GeV).size();
+ if ( b_tagged && bjets.size() < 2) bjets +=jet;
+ else lightjets += jet;
+ }
+
+ // Implementing large-R jets definition
+ // trim the jets
+ PseudoJets trimmed_fatJets;
+ float Rfilt = 0.2;
+ float pt_fraction_min = 0.05;
+ fastjet::Filter trimmer(fastjet::JetDefinition(fastjet::kt_algorithm, Rfilt), fastjet::SelectorPtFractionMin(pt_fraction_min));
+ for (PseudoJet pjet : all_fjets) trimmed_fatJets += trimmer(pjet);
+ trimmed_fatJets = fastjet::sorted_by_pt(trimmed_fatJets);
+ PseudoJets trimmed_jets;
+ for (unsigned int i = 0; i < trimmed_fatJets.size(); ++i) {
+ FourMomentum tj_mom = momentum(trimmed_fatJets[i]);
+ if (tj_mom.pt() <= 300*GeV) continue;
+ if (tj_mom.abseta() >= 2.0) continue;
+ trimmed_jets.push_back(trimmed_fatJets[i]);
+ }
+
+ bool single_electron = (electrons.size() == 1) && (muons.empty());
+ bool single_muon = (muons.size() == 1) && (electrons.empty());
+
+ DressedLepton *lepton = NULL;
+ if (single_electron) lepton = &electrons[0];
+ else if (single_muon) lepton = &muons[0];
+
+ if (!single_electron && !single_muon) vetoEvent;
+
+ bool pass_resolved = true;
+ bool num_b_tagged_jets = (bjets.size() == 2);
+ if (!num_b_tagged_jets) pass_resolved = false;
+
+ if (jets.size() < 4) pass_resolved = false;
+
+ bool pass_boosted = true;
+ int fatJetIndex = -1;
+ bool passTopTag = false;
+ bool passDphi = false;
+ bool passAddJet = false;
+ bool goodLepJet = false;
+ bool lepbtag = false;
+ bool hadbtag=false;
+ vector<int> lepJetIndex;
+ vector<int> jet_farFromHadTopJetCandidate;
+ if (met.mod() < 20*GeV) pass_boosted = false;
+ if (pass_boosted) {
+ double transmass = _mT(lepton->momentum(), met);
+ if (transmass + met.mod() < 60*GeV) pass_boosted = false;
+ }
+ if (pass_boosted) {
+ if (trimmed_jets.size() >= 1) {
+ for (unsigned int j = 0; j<trimmed_jets.size(); ++j) {
+ if (tau32( trimmed_jets.at(j), 1. ) < 0.75 &&
+ momentum(trimmed_jets.at(j)).mass() > 100*GeV &&
+ momentum(trimmed_jets.at(j)).pt() > 300*GeV &&
+ momentum(trimmed_jets.at(j)).pt() < 1500*GeV &&
+ fabs(momentum(trimmed_jets.at(j)).eta()) < 2.) {
+ passTopTag = true;
+ fatJetIndex = j;
+ break;
+ }
+ }
+ }
+ }
+ if(!passTopTag && fatJetIndex == -1) pass_boosted = false;
+ if (pass_boosted) {
+ double dPhi_fatjet = deltaPhi(lepton->phi(), momentum(trimmed_jets.at(fatJetIndex)).phi());
+ double dPhi_fatjet_lep_cut = 1.0; //2.3
+ if (dPhi_fatjet > dPhi_fatjet_lep_cut ) {
+ passDphi = true;
+ }
+ }
+ if (!passDphi) pass_boosted = false;
+ if (bjets.empty()) pass_boosted = false;
+ if (pass_boosted) {
+ for (unsigned int sj = 0; sj < jets.size(); ++sj) {
+ double dR = deltaR(jets.at(sj).momentum(), momentum(trimmed_jets.at(fatJetIndex)));
+ if(dR > 1.5) {
+ passAddJet = true;
+ jet_farFromHadTopJetCandidate.push_back(sj);
+ }
+ }
+ }
+ if (!passAddJet) pass_boosted = false;
+ if (pass_boosted) {
+ for (int ltj : jet_farFromHadTopJetCandidate) {
+ double dR_jet_lep = deltaR(jets.at(ltj).momentum(), lepton->momentum());
+ double dR_jet_lep_cut = 2.0;//1.5
+ if (dR_jet_lep < dR_jet_lep_cut) {
+ lepJetIndex.push_back(ltj);
+ goodLepJet = true;
+ }
+ }
+ }
+ if(!goodLepJet) pass_boosted = false;
+ if (pass_boosted) {
+ for (int lepj : lepJetIndex) {
+ lepbtag = jets.at(lepj).bTags(Cuts::pT > 5*GeV).size();
+ if (lepbtag) break;
+ }
+ }
+ double dR_fatBjet_cut = 1.0;
+ if (pass_boosted) {
+ for (const Jet& bjet : bjets) {
+ hadbtag |= deltaR(momentum(trimmed_jets.at(fatJetIndex)), bjet) < dR_fatBjet_cut;
+ }
+ }
+
+ if (!(lepbtag || hadbtag)) pass_boosted = false;
+
+ FourMomentum pbjet1; //Momentum of bjet1
+ FourMomentum pbjet2; //Momentum of bjet
+ int Wj1index = -1, Wj2index = -1;
+
+ if (pass_resolved) {
+
+ if ( deltaR(bjets[0], *lepton) <= deltaR(bjets[1], *lepton) ) {
+ pbjet1 = bjets[0].momentum();
+ pbjet2 = bjets[1].momentum();
+ } else {
+ pbjet1 = bjets[1].momentum();
+ pbjet2 = bjets[0].momentum();
+ }
+
+ double bestWmass = 1000.0*TeV;
+ double mWPDG = 80.399*GeV;
+ for (unsigned int i = 0; i < (lightjets.size() - 1); ++i) {
+ for (unsigned int j = i + 1; j < lightjets.size(); ++j) {
+ double wmass = (lightjets[i].momentum() + lightjets[j].momentum()).mass();
+ if (fabs(wmass - mWPDG) < fabs(bestWmass - mWPDG)) {
+ bestWmass = wmass;
+ Wj1index = i;
+ Wj2index = j;
+ }
+ }
+ }
+
+ FourMomentum pjet1 = lightjets[Wj1index].momentum();
+ FourMomentum pjet2 = lightjets[Wj2index].momentum();
+
+ // compute hadronic W boson
+ FourMomentum pWhadron = pjet1 + pjet2;
+ double pz = computeneutrinoz(lepton->momentum(), met);
+ FourMomentum ppseudoneutrino( sqrt(sqr(met.x()) + sqr(met.y()) + sqr(pz)), met.x(), met.y(), pz);
+
+ //compute leptonic, hadronic, combined pseudo-top
+ FourMomentum ppseudotoplepton = lepton->momentum() + ppseudoneutrino + pbjet1;
+ FourMomentum ppseudotophadron = pbjet2 + pWhadron;
+ FourMomentum pttbar = ppseudotoplepton + ppseudotophadron;
+
+ fillHists("top_pt_res", ppseudotophadron.pt()/GeV);
+ fillHists("top_absrap_res", ppseudotophadron.absrap());
+ fillHists("ttbar_pt_res", pttbar.pt()/GeV);
+ fillHists("ttbar_absrap_res", pttbar.absrap());
+ fillHists("ttbar_m_res", pttbar.mass()/GeV);
+ }
+
+ if (pass_boosted) {// Boosted selection
+ double hadtop_pt= momentum(trimmed_jets.at(fatJetIndex)).pt() / GeV;
+ double hadtop_absrap= momentum(trimmed_jets.at(fatJetIndex)).absrap();
+ fillHists("top_pt_boost", hadtop_pt);
+ fillHists("top_absrap_boost", hadtop_absrap);
+ }
+ }
+
+ void finalize() {
+ // Normalize to cross-section
+ const double sf = (crossSection() / sumOfWeights());
+ for (HistoMap::value_type& hist : _h) {
+ scale(hist.second, sf);
+ if (hist.first.find("_norm") != string::npos) normalize(hist.second);
+ }
+ }
+
+ void bookHists(std::string name, unsigned int index) {
+ book(_h[name], index, 1 ,1);
+ book(_h[name + "_norm"], index + 1, 1 ,1);
+ }
+
+ void fillHists(std::string name, double value) {
+ _h[name]->fill(value);
+ _h[name + "_norm"]->fill(value);
+ }
+
+ double _mT(const FourMomentum &l, const Vector3 &met) const {
+ return sqrt(2.0 * l.pT() * met.mod() * (1 - cos(deltaPhi(l, met))) );
+ }
+
+ double tau32(const fastjet::PseudoJet &jet, double jet_rad) const {
+ double alpha = 1.0;
+ Nsubjettiness::NormalizedCutoffMeasure normalized_measure(alpha, jet_rad, 1000000);
+ // WTA definition
+ // Nsubjettiness::OnePass_WTA_KT_Axes wta_kt_axes;
+ // as in JetSubStructure recommendations
+ Nsubjettiness::KT_Axes kt_axes;
+
+ /// NsubjettinessRatio uses the results from Nsubjettiness to calculate the ratio
+ /// tau_N/tau_M, where N and M are specified by the user. The ratio of different tau values
+ /// is often used in analyses, so this class is helpful to streamline code.
+ Nsubjettiness::NsubjettinessRatio tau32_kt(3, 2, kt_axes, normalized_measure);
+
+ double tau32 = tau32_kt.result(jet);
+ return tau32;
+ }
+
+ double computeneutrinoz(const FourMomentum& lepton, const Vector3 &met) const {
+ //computing z component of neutrino momentum given lepton and met
+ double pzneutrino;
+ double m_W = 80.399; // in GeV, given in the paper
+ double k = (( sqr( m_W ) - sqr( lepton.mass() ) ) / 2 ) + (lepton.px() * met.x() + lepton.py() * met.y());
+ double a = sqr ( lepton.E() )- sqr ( lepton.pz() );
+ double b = -2*k*lepton.pz();
+ double c = sqr( lepton.E() ) * sqr( met.mod() ) - sqr( k );
+ double discriminant = sqr(b) - 4 * a * c;
+ double quad[2] = { (- b - sqrt(discriminant)) / (2 * a), (- b + sqrt(discriminant)) / (2 * a) }; //two possible quadratic solns
+ if (discriminant < 0) pzneutrino = - b / (2 * a); //if the discriminant is negative
+ else { //if the discriminant is greater than or equal to zero, take the soln with smallest absolute value
+ double absquad[2];
+ for (int n=0; n<2; ++n) absquad[n] = fabs(quad[n]);
+ if (absquad[0] < absquad[1]) pzneutrino = quad[0];
+ else pzneutrino = quad[1];
+ }
+
+ return pzneutrino;
+ }
+
+ private:
+
+ /// @name Objects that are used by the event selection decisions
+ typedef map<string, Histo1DPtr> HistoMap;
+ HistoMap _h;
+ };
+
+ // The hook for the plugin system
+ DECLARE_RIVET_PLUGIN(ATLAS_2017_I1614149);
+}
diff --git a/analyses/pluginATLAS/ATLAS_2017_I1614149.info b/analyses/pluginATLAS/ATLAS_2017_I1614149.info
new file mode 100644
--- /dev/null
+++ b/analyses/pluginATLAS/ATLAS_2017_I1614149.info
@@ -0,0 +1,53 @@
+Name: ATLAS_2017_I1614149
+Year: 2017
+Summary: Resolved and boosted ttbar l+jets cross sections at 13 TeV
+Experiment: ATLAS
+Collider: LHC
+InspireID: 1614149
+Status: VALIDATED
+Authors:
+ - Francesco La Ruffa <francesco.la.ruffa@cern.ch>
+ - Steffen Henkelmann <steffen.henkelmann@cern.ch>
+ - Federica Fabbri <federica.fabbri@cern.ch>
+ - Christian Gutschow <chris.g@cern.ch>
+References:
+ - JHEP 1711 (2017) 191
+ - doi:10.1007/JHEP11(2017)1
+ - arXiv:1708.00727 [hep-ex]
+Keywords:
+ - TTBAR
+ - NONALLHADRONIC
+ - BOOSTED
+RunInfo:
+ non-all-hadronic ttbar production at 13 TeV
+NeedCrossSection: True
+Beams: [p+, p+]
+Energies: [13000]
+PtCuts: [25.]
+Description:
+ 'Measurements of differential cross-sections of top-quark pair production in fiducial phase-spaces are presented as a function of
+ top-quark and $t\bar{t}$ system kinematic observables in proton-proton collisions at a centre-of-mass energy of $\sqrt{s} = 13$ TeV.
+ The data set corresponds to an integrated luminosity of 3.2 fb${}^{-1}$, recorded in 2015 with the ATLAS detector at the CERN Large
+ Hadron Collider. Events with exactly one electron or muon and at least two jets in the final state are used for the measurement.
+ Two separate selections are applied that each focus on different top-quark momentum regions, referred to as resolved and boosted
+ topologies of the $t\bar{t}$ final state. The measured spectra are corrected for detector effects and are compared to several
+ Monte Carlo simulations by means of calculated $\chi^2$ and $p$-values.'
+BibKey: Aaboud:2017fha,
+BibTex: '@article{Aaboud:2017fha,
+ author = "Aaboud, M. and others",
+ title = "{Measurements of top-quark pair differential
+ cross-sections in the lepton+jets channel in $pp$
+ collisions at $\sqrt{s}=13$ TeV using the ATLAS
+ detector}",
+ collaboration = "ATLAS",
+ journal = "JHEP",
+ volume = "11",
+ year = "2017",
+ pages = "191",
+ doi = "10.1007/JHEP11(2017)191",
+ eprint = "1708.00727",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ reportNumber = "CERN-EP-2017-058",
+ SLACcitation = "%%CITATION = ARXIV:1708.00727;%%"
+}'
diff --git a/analyses/pluginATLAS/ATLAS_2017_I1614149.plot b/analyses/pluginATLAS/ATLAS_2017_I1614149.plot
new file mode 100644
--- /dev/null
+++ b/analyses/pluginATLAS/ATLAS_2017_I1614149.plot
@@ -0,0 +1,103 @@
+# BEGIN PLOT /ATLAS_2017_I1614149/d.
+XTwosidedTicks=1
+YTwosidedTicks=1
+LeftMargin=1.9
+LegendXPos=0.95
+LegendAlign=r
+YLabelSep=8.0
+RatioPlotYMin=0.7
+RatioPlotYMax=1.3
+Title=Combined lepton channels, resolved
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d23
+XLabel=$m_{t\bar{t}}$ [GeV]
+YLabel=$\text{d}\sigma / \text{d}m_{t\bar{t}}$ [pb/GeV]
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d24
+XLabel=$m_{t\bar{t}}$ [GeV]
+YLabel=$1/\sigma$ $\text{d}\sigma / \text{d}m_{t\bar{t}}$ [1/GeV]
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d19
+XLabel=$p_\text{T}^{t\bar{t}}$ [GeV]
+YLabel=$\text{d}\sigma / \text{d}p_\text{T}^{t\bar{t}}$ [pb/GeV]
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d20
+XLabel=$p_\text{T}^{t\bar{t}}$ [GeV]
+YLabel=$1/\sigma$ $\text{d}\sigma / \text{d}p_\text{T}^{t\bar{t}}$ [1/GeV]
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d21
+XLabel=$|y_{t\bar{t}}|$
+YLabel=$\text{d}\sigma / \text{d}|y_{t\bar{t}}|$ [pb]
+LegendXPos=0.05
+LegendYPos=0.3
+LegendAlign=l
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d22
+XLabel=$|y_{t\bar{t}}|$
+YLabel=$1/\sigma$ $\text{d}\sigma / \text{d}|y_{t\bar{t}}|$
+LegendXPos=0.05
+LegendYPos=0.3
+LegendAlign=l
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d15
+XLabel=$p_\text{T}^{t,\text{had}}$ [GeV]
+YLabel=$\text{d}\sigma / \text{d}p_\text{T}^{t,\text{had}}$ [pb/GeV]
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d16
+XLabel=$p_\text{T}^{t,\text{had}}$ [GeV]
+YLabel=$1/\sigma$ $\text{d}\sigma / \text{d}p_\text{T}^{t,\text{had}}$ [1/GeV]
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d17
+XLabel=$|y_{t,\text{had}}|$
+YLabel=$\text{d}\sigma / \text{d}|y_{t,\text{had}}|$ [pb]
+LegendXPos=0.05
+LegendYPos=0.3
+LegendAlign=l
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d18
+XLabel=$|y_{t,\text{had}}|$
+YLabel=$1/\sigma$ $\text{d}\sigma / \text{d}|y_{t,\text{had}}|$
+LegendXPos=0.05
+LegendYPos=0.3
+LegendAlign=l
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d25
+XLabel=$p_\text{T}^{t,\text{had}}$ [GeV]
+YLabel=$\text{d}\sigma / \text{d}p_\text{T}^{t,\text{had}}$ [pb/GeV]
+Title=Combined lepton channels, boosted
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d26
+XLabel=$p_\text{T}^{t,\text{had}}$ [GeV]
+YLabel=$1/\sigma$ $\text{d}\sigma / \text{d}p_\text{T}^{t,\text{had}}$ [1/GeV]
+Title=Combined lepton channels, boosted
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d27
+XLabel=$|y_{t,\text{had}}|$
+YLabel=$\text{d}\sigma / \text{d}|y_{t,\text{had}}|$ [pb]
+LegendXPos=0.05
+LegendYPos=0.3
+LegendAlign=l
+Title=Combined lepton channels, boosted
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2017_I1614149/d28
+XLabel=$|y_{t,\text{had}}|$
+YLabel=$1/\sigma$ $\text{d}\sigma / \text{d}|y_{t,\text{had}}|$
+LegendXPos=0.05
+LegendYPos=0.3
+LegendAlign=l
+Title=Combined lepton channels, boosted
+# END PLOT
diff --git a/analyses/pluginATLAS/ATLAS_2017_I1614149.yoda b/analyses/pluginATLAS/ATLAS_2017_I1614149.yoda
new file mode 100644
--- /dev/null
+++ b/analyses/pluginATLAS/ATLAS_2017_I1614149.yoda
@@ -0,0 +1,284 @@
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d15-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d15-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t15
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+01 1.250000e+01 1.250000e+01 1.347760e-01 1.906349e-02 1.702081e-02
+3.750000e+01 1.250000e+01 1.250000e+01 3.906600e-01 5.238500e-02 4.883905e-02
+6.250000e+01 1.250000e+01 1.250000e+01 5.804110e-01 7.488764e-02 6.861097e-02
+9.000000e+01 1.500000e+01 1.500000e+01 6.420720e-01 7.680263e-02 7.270427e-02
+1.200000e+02 1.500000e+01 1.500000e+01 5.736510e-01 6.739270e-02 6.167945e-02
+1.500000e+02 1.500000e+01 1.500000e+01 4.114490e-01 4.457987e-02 4.368342e-02
+1.800000e+02 1.500000e+01 1.500000e+01 2.799260e-01 2.960812e-02 2.656063e-02
+2.125000e+02 1.750000e+01 1.750000e+01 1.835310e-01 2.076100e-02 1.734781e-02
+2.475000e+02 1.750000e+01 1.750000e+01 1.129740e-01 1.099519e-02 1.090081e-02
+2.825000e+02 1.750000e+01 1.750000e+01 7.689850e-02 8.507907e-03 7.871883e-03
+3.250000e+02 2.500000e+01 2.500000e+01 4.077590e-02 4.325136e-03 4.099052e-03
+3.750000e+02 2.500000e+01 2.500000e+01 2.228310e-02 2.586023e-03 2.673487e-03
+4.250000e+02 2.500000e+01 2.500000e+01 1.101150e-02 1.500004e-03 1.350515e-03
+4.750000e+02 2.500000e+01 2.500000e+01 5.242400e-03 1.219642e-03 1.165065e-03
+7.500000e+02 2.500000e+02 2.500000e+02 7.297460e-04 1.362707e-04 1.341423e-04
+END YODA_SCATTER2D
+
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d16-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d16-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t16
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+01 1.250000e+01 1.250000e+01 1.317990e-03 6.481695e-05 5.870221e-05
+3.750000e+01 1.250000e+01 1.250000e+01 3.820310e-03 1.619198e-04 1.595662e-04
+6.250000e+01 1.250000e+01 1.250000e+01 5.675900e-03 2.037150e-04 1.973136e-04
+9.000000e+01 1.500000e+01 1.500000e+01 6.278890e-03 1.739129e-04 1.791427e-04
+1.200000e+02 1.500000e+01 1.500000e+01 5.609800e-03 1.439744e-04 1.417565e-04
+1.500000e+02 1.500000e+01 1.500000e+01 4.023600e-03 1.110119e-04 1.228696e-04
+1.800000e+02 1.500000e+01 1.500000e+01 2.737430e-03 9.246606e-05 9.159271e-05
+2.125000e+02 1.750000e+01 1.750000e+01 1.794770e-03 8.604814e-05 7.684170e-05
+2.475000e+02 1.750000e+01 1.750000e+01 1.104790e-03 5.354995e-05 6.160185e-05
+2.825000e+02 1.750000e+01 1.750000e+01 7.519990e-04 5.498739e-05 5.276510e-05
+3.250000e+02 2.500000e+01 2.500000e+01 3.987520e-04 2.649075e-05 2.751978e-05
+3.750000e+02 2.500000e+01 2.500000e+01 2.179090e-04 1.899948e-05 2.080577e-05
+4.250000e+02 2.500000e+01 2.500000e+01 1.076830e-04 1.095501e-05 1.019584e-05
+4.750000e+02 2.500000e+01 2.500000e+01 5.126600e-05 1.047078e-05 1.020328e-05
+7.500000e+02 2.500000e+02 2.500000e+02 7.136270e-06 1.077181e-06 1.108514e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d17-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d17-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t17
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 8.134970e+01 9.832421e+00 8.304737e+00
+1.500000e-01 5.000000e-02 5.000000e-02 7.873880e+01 8.886101e+00 8.455868e+00
+2.500000e-01 5.000000e-02 5.000000e-02 7.879570e+01 8.540534e+00 8.359325e+00
+3.500000e-01 5.000000e-02 5.000000e-02 7.725480e+01 8.522466e+00 7.914571e+00
+4.500000e-01 5.000000e-02 5.000000e-02 7.434100e+01 9.436994e+00 8.455625e+00
+5.500000e-01 5.000000e-02 5.000000e-02 7.223690e+01 8.251308e+00 7.580969e+00
+6.500000e-01 5.000000e-02 5.000000e-02 6.752460e+01 7.984113e+00 7.239027e+00
+7.500000e-01 5.000000e-02 5.000000e-02 6.312290e+01 7.330498e+00 6.635149e+00
+8.500000e-01 5.000000e-02 5.000000e-02 6.291320e+01 7.098896e+00 7.245007e+00
+9.500000e-01 5.000000e-02 5.000000e-02 5.547870e+01 6.628317e+00 5.946935e+00
+1.050000e+00 5.000000e-02 5.000000e-02 5.056940e+01 5.839920e+00 5.471188e+00
+1.150000e+00 5.000000e-02 5.000000e-02 4.755590e+01 5.751045e+00 4.971946e+00
+1.250000e+00 5.000000e-02 5.000000e-02 4.240720e+01 5.065512e+00 4.533267e+00
+1.350000e+00 5.000000e-02 5.000000e-02 3.741120e+01 4.256864e+00 4.277895e+00
+1.450000e+00 5.000000e-02 5.000000e-02 3.210710e+01 3.697561e+00 3.363451e+00
+1.600000e+00 1.000000e-01 1.000000e-01 2.452110e+01 2.879100e+00 2.746465e+00
+1.800000e+00 1.000000e-01 1.000000e-01 1.583020e+01 1.887801e+00 1.808670e+00
+2.200000e+00 3.000000e-01 3.000000e-01 3.586020e+00 4.109772e-01 4.119804e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d18-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d18-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t18
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.944110e-01 2.490907e-02 2.082672e-02
+1.500000e-01 5.000000e-02 5.000000e-02 7.689140e-01 2.154794e-02 2.165623e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.694700e-01 2.052834e-02 2.282662e-02
+3.500000e-01 5.000000e-02 5.000000e-02 7.544230e-01 2.353696e-02 2.386810e-02
+4.500000e-01 5.000000e-02 5.000000e-02 7.259680e-01 3.014801e-02 2.942021e-02
+5.500000e-01 5.000000e-02 5.000000e-02 7.054210e-01 1.928348e-02 1.957646e-02
+6.500000e-01 5.000000e-02 5.000000e-02 6.594030e-01 1.988951e-02 1.938932e-02
+7.500000e-01 5.000000e-02 5.000000e-02 6.164190e-01 1.868366e-02 1.768051e-02
+8.500000e-01 5.000000e-02 5.000000e-02 6.143710e-01 1.767299e-02 2.074339e-02
+9.500000e-01 5.000000e-02 5.000000e-02 5.417700e-01 1.532601e-02 1.459966e-02
+1.050000e+00 5.000000e-02 5.000000e-02 4.938290e-01 1.692170e-02 1.677793e-02
+1.150000e+00 5.000000e-02 5.000000e-02 4.644010e-01 1.472732e-02 1.289785e-02
+1.250000e+00 5.000000e-02 5.000000e-02 4.141230e-01 1.547944e-02 1.524938e-02
+1.350000e+00 5.000000e-02 5.000000e-02 3.653350e-01 1.167564e-02 1.407024e-02
+1.450000e+00 5.000000e-02 5.000000e-02 3.135380e-01 1.096838e-02 1.090869e-02
+1.600000e+00 1.000000e-01 1.000000e-01 2.394580e-01 7.567728e-03 7.798938e-03
+1.800000e+00 1.000000e-01 1.000000e-01 1.545880e-01 5.940042e-03 6.401759e-03
+2.200000e+00 3.000000e-01 3.000000e-01 3.501880e-02 1.777376e-03 1.911674e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d19-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d19-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t19
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.750000e+01 1.750000e+01 1.750000e+01 1.027230e+00 1.224162e-01 1.176785e-01
+5.500000e+01 2.000000e+01 2.000000e+01 8.075510e-01 1.088398e-01 1.008171e-01
+1.000000e+02 2.500000e+01 2.500000e+01 3.417800e-01 6.073859e-02 6.152203e-02
+1.475000e+02 2.250000e+01 2.250000e+01 1.666110e-01 2.557530e-02 2.582549e-02
+1.975000e+02 2.750000e+01 2.750000e+01 8.326590e-02 1.194048e-02 1.101391e-02
+5.125000e+02 2.875000e+02 2.875000e+02 8.564870e-03 1.063570e-03 9.623901e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d20-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d20-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t20
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.750000e+01 1.750000e+01 1.750000e+01 1.003680e-02 1.068080e-03 1.042216e-03
+5.500000e+01 2.000000e+01 2.000000e+01 7.890390e-03 3.565253e-04 3.502528e-04
+1.000000e+02 2.500000e+01 2.500000e+01 3.339460e-03 3.534988e-04 3.743686e-04
+1.475000e+02 2.250000e+01 2.250000e+01 1.627920e-03 1.170965e-04 1.300365e-04
+1.975000e+02 2.750000e+01 2.750000e+01 8.135720e-04 5.097619e-05 4.888983e-05
+5.125000e+02 2.875000e+02 2.875000e+02 8.368530e-05 3.610674e-06 3.575586e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d21-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d21-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t21
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 1.043760e+02 1.224906e+01 1.091370e+01
+1.500000e-01 5.000000e-02 5.000000e-02 1.049610e+02 1.176422e+01 1.091055e+01
+2.500000e-01 5.000000e-02 5.000000e-02 1.020510e+02 1.234745e+01 1.112140e+01
+3.500000e-01 5.000000e-02 5.000000e-02 9.802990e+01 1.126862e+01 1.050227e+01
+4.500000e-01 5.000000e-02 5.000000e-02 9.557200e+01 1.106138e+01 1.035806e+01
+5.500000e-01 5.000000e-02 5.000000e-02 8.608130e+01 9.555996e+00 9.131418e+00
+6.500000e-01 5.000000e-02 5.000000e-02 7.709480e+01 8.361182e+00 8.114520e+00
+7.500000e-01 5.000000e-02 5.000000e-02 7.067620e+01 8.243542e+00 7.471777e+00
+8.500000e-01 5.000000e-02 5.000000e-02 6.130300e+01 7.359286e+00 6.479804e+00
+9.500000e-01 5.000000e-02 5.000000e-02 5.171300e+01 6.041000e+00 5.516802e+00
+1.050000e+00 5.000000e-02 5.000000e-02 4.270800e+01 4.877820e+00 4.449086e+00
+1.150000e+00 5.000000e-02 5.000000e-02 3.542720e+01 3.849449e+00 3.736617e+00
+1.250000e+00 5.000000e-02 5.000000e-02 2.777330e+01 3.506083e+00 2.991778e+00
+1.350000e+00 5.000000e-02 5.000000e-02 2.245830e+01 2.622155e+00 2.586369e+00
+1.450000e+00 5.000000e-02 5.000000e-02 1.532420e+01 1.908683e+00 1.933761e+00
+1.550000e+00 5.000000e-02 5.000000e-02 1.118120e+01 1.266288e+00 1.334073e+00
+1.700000e+00 1.000000e-01 1.000000e-01 6.196180e+00 8.526877e-01 6.816942e-01
+2.150000e+00 3.500000e-01 3.500000e-01 6.318880e-01 8.943181e-02 9.086993e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d22-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d22-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t22
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 1.019750e+00 2.807318e-02 2.589233e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.025470e+00 2.678672e-02 2.633978e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.970310e-01 3.022030e-02 2.669482e-02
+3.500000e-01 5.000000e-02 5.000000e-02 9.577480e-01 2.424284e-02 2.516530e-02
+4.500000e-01 5.000000e-02 5.000000e-02 9.337340e-01 2.326986e-02 2.458912e-02
+5.500000e-01 5.000000e-02 5.000000e-02 8.410110e-01 2.392110e-02 2.445721e-02
+6.500000e-01 5.000000e-02 5.000000e-02 7.532130e-01 1.977010e-02 2.092033e-02
+7.500000e-01 5.000000e-02 5.000000e-02 6.905030e-01 2.240690e-02 2.277892e-02
+8.500000e-01 5.000000e-02 5.000000e-02 5.989280e-01 1.664227e-02 1.608500e-02
+9.500000e-01 5.000000e-02 5.000000e-02 5.052340e-01 1.448199e-02 1.416200e-02
+1.050000e+00 5.000000e-02 5.000000e-02 4.172560e-01 1.194448e-02 1.158737e-02
+1.150000e+00 5.000000e-02 5.000000e-02 3.461220e-01 1.025073e-02 1.117776e-02
+1.250000e+00 5.000000e-02 5.000000e-02 2.713440e-01 1.092227e-02 9.630557e-03
+1.350000e+00 5.000000e-02 5.000000e-02 2.194160e-01 8.891946e-03 9.727964e-03
+1.450000e+00 5.000000e-02 5.000000e-02 1.497170e-01 8.150449e-03 8.553045e-03
+1.550000e+00 5.000000e-02 5.000000e-02 1.092400e-01 4.972156e-03 5.570566e-03
+1.700000e+00 1.000000e-01 1.000000e-01 6.053640e-02 4.042391e-03 3.451262e-03
+2.150000e+00 3.500000e-01 3.500000e-01 6.173520e-03 5.629453e-04 5.803675e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d23-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d23-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t23
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.850000e+02 6.000000e+01 6.000000e+01 4.945930e-02 8.298358e-03 8.148934e-03
+3.825000e+02 3.750000e+01 3.750000e+01 2.885040e-01 3.491067e-02 3.249859e-02
+4.600000e+02 4.000000e+01 4.000000e+01 2.896760e-01 3.606181e-02 3.416383e-02
+5.450000e+02 4.500000e+01 4.500000e+01 2.122720e-01 2.577274e-02 2.401067e-02
+6.375000e+02 4.750000e+01 4.750000e+01 1.294970e-01 1.490641e-02 1.386200e-02
+7.375000e+02 5.250000e+01 5.250000e+01 7.802050e-02 8.171980e-03 8.178059e-03
+8.500000e+02 6.000000e+01 6.000000e+01 4.327160e-02 4.837769e-03 4.462040e-03
+9.750000e+02 6.500000e+01 6.500000e+01 2.337880e-02 2.861260e-03 2.584894e-03
+1.107500e+03 6.750000e+01 6.750000e+01 1.193100e-02 1.679041e-03 1.449639e-03
+1.247500e+03 7.250000e+01 7.250000e+01 6.596800e-03 9.203030e-04 8.119391e-04
+2.160000e+03 8.400000e+02 8.400000e+02 7.334950e-04 1.493136e-04 1.466897e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d24-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d24-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t24
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.850000e+02 6.000000e+01 6.000000e+01 4.831090e-04 6.837627e-05 6.462444e-05
+3.825000e+02 3.750000e+01 3.750000e+01 2.818050e-03 1.452408e-04 1.379114e-04
+4.600000e+02 4.000000e+01 4.000000e+01 2.829500e-03 9.725849e-05 1.030913e-04
+5.450000e+02 4.500000e+01 4.500000e+01 2.073430e-03 7.491460e-05 7.834927e-05
+6.375000e+02 4.750000e+01 4.750000e+01 1.264900e-03 4.519524e-05 4.586528e-05
+7.375000e+02 5.250000e+01 5.250000e+01 7.620890e-04 3.379409e-05 3.816635e-05
+8.500000e+02 6.000000e+01 6.000000e+01 4.226680e-04 2.495249e-05 2.414309e-05
+9.750000e+02 6.500000e+01 6.500000e+01 2.283600e-04 1.691413e-05 1.636381e-05
+1.107500e+03 6.750000e+01 6.750000e+01 1.165400e-04 1.089044e-05 9.777714e-06
+1.247500e+03 7.250000e+01 7.250000e+01 6.443630e-05 5.926205e-06 5.717563e-06
+2.160000e+03 8.400000e+02 8.400000e+02 7.164630e-06 1.289435e-06 1.219956e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d25-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d25-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t25
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.250000e+02 2.500000e+01 2.500000e+01 1.905090e-02 3.839854e-03 3.923696e-03
+3.750000e+02 2.500000e+01 2.500000e+01 1.217390e-02 2.442461e-03 2.521886e-03
+4.250000e+02 2.500000e+01 2.500000e+01 6.923070e-03 1.492424e-03 1.362560e-03
+4.750000e+02 2.500000e+01 2.500000e+01 3.967970e-03 9.407674e-04 9.513218e-04
+5.250000e+02 2.500000e+01 2.500000e+01 2.794600e-03 6.666769e-04 7.778452e-04
+6.000000e+02 5.000000e+01 5.000000e+01 1.748060e-03 4.612777e-04 4.892524e-04
+7.000000e+02 5.000000e+01 5.000000e+01 4.189140e-04 1.588149e-04 1.588734e-04
+1.125000e+03 3.750000e+02 3.750000e+02 5.717180e-05 2.666984e-05 2.919500e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d26-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d26-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t26
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.250000e+02 2.500000e+01 2.500000e+01 7.604850e-03 5.811648e-04 5.626966e-04
+3.750000e+02 2.500000e+01 2.500000e+01 4.859660e-03 2.929653e-04 2.989207e-04
+4.250000e+02 2.500000e+01 2.500000e+01 2.763590e-03 1.823267e-04 1.695623e-04
+4.750000e+02 2.500000e+01 2.500000e+01 1.583960e-03 1.401179e-04 1.362044e-04
+5.250000e+02 2.500000e+01 2.500000e+01 1.115560e-03 1.463830e-04 1.711515e-04
+6.000000e+02 5.000000e+01 5.000000e+01 6.978000e-04 1.095716e-04 1.125416e-04
+7.000000e+02 5.000000e+01 5.000000e+01 1.672240e-04 4.575952e-05 4.416986e-05
+1.125000e+03 3.750000e+02 3.750000e+02 2.282220e-05 8.367937e-06 8.487175e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d27-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d27-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t27
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.902050e+00 3.831137e-01 4.264242e-01
+3.000000e-01 1.000000e-01 1.000000e-01 1.939310e+00 3.834500e-01 3.825087e-01
+5.000000e-01 1.000000e-01 1.000000e-01 1.714910e+00 3.760307e-01 3.585337e-01
+7.000000e-01 1.000000e-01 1.000000e-01 1.600600e+00 3.311848e-01 3.366266e-01
+9.000000e-01 1.000000e-01 1.000000e-01 1.410320e+00 2.953508e-01 2.822518e-01
+1.100000e+00 1.000000e-01 1.000000e-01 1.291740e+00 2.721535e-01 2.916603e-01
+1.300000e+00 1.000000e-01 1.000000e-01 1.049670e+00 2.336705e-01 2.429457e-01
+1.500000e+00 1.000000e-01 1.000000e-01 8.632600e-01 1.854160e-01 1.940905e-01
+1.700000e+00 1.000000e-01 1.000000e-01 5.564680e-01 1.405216e-01 1.227757e-01
+1.900000e+00 1.000000e-01 1.000000e-01 3.578620e-01 9.045314e-02 9.169748e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1614149/d28-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1614149/d28-x01-y01
+Title=doi:10.17182/hepdata.80041.v2/t28
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 7.496540e-01 3.712491e-02 4.228392e-02
+3.000000e-01 1.000000e-01 1.000000e-01 7.643410e-01 3.867040e-02 4.315083e-02
+5.000000e-01 1.000000e-01 1.000000e-01 6.758960e-01 4.823643e-02 4.431367e-02
+7.000000e-01 1.000000e-01 1.000000e-01 6.308420e-01 3.677069e-02 3.628000e-02
+9.000000e-01 1.000000e-01 1.000000e-01 5.558500e-01 4.293211e-02 3.994918e-02
+1.100000e+00 1.000000e-01 1.000000e-01 5.091110e-01 3.040537e-02 3.150871e-02
+1.300000e+00 1.000000e-01 1.000000e-01 4.137050e-01 4.180356e-02 4.201676e-02
+1.500000e+00 1.000000e-01 1.000000e-01 3.402360e-01 2.830736e-02 2.971461e-02
+1.700000e+00 1.000000e-01 1.000000e-01 2.193200e-01 2.220318e-02 1.975462e-02
+1.900000e+00 1.000000e-01 1.000000e-01 1.410440e-01 1.646549e-02 1.611018e-02
+END YODA_SCATTER2D
diff --git a/analyses/pluginATLAS/ATLAS_2017_I1624693.cc b/analyses/pluginATLAS/ATLAS_2017_I1624693.cc
new file mode 100644
--- /dev/null
+++ b/analyses/pluginATLAS/ATLAS_2017_I1624693.cc
@@ -0,0 +1,435 @@
+// -*- C++ -*-
+#include "Rivet/Analysis.hh"
+#include "Rivet/Projections/FinalState.hh"
+#include "Rivet/Projections/ChargedFinalState.hh"
+
+/// @todo Include more projections as required, e.g. ChargedFinalState, FastJets, ZFinder...
+
+namespace Rivet {
+
+ class ATLAS_2017_I1624693 : public Analysis {
+ public:
+
+ /// Constructor
+ /// @brief Study of ordered hadron chains at 7 TeV
+ DEFAULT_RIVET_ANALYSIS_CTOR(ATLAS_2017_I1624693);
+
+ /// @name Analysis methods
+ //@{
+ struct usedX {
+
+ int locMin;
+ int locMax;
+ std::vector<std::pair<int,float> > chains;
+
+ // Constructor
+ usedX(int min, int max, int ic, float mass) {
+ locMin=min;
+ locMax=max;
+ chains.clear();
+ chains.push_back(std::pair<int,float>(ic,mass));
+ }
+
+ // Constructor
+ usedX(int min, int max) {
+ locMin=min;
+ locMax=max;
+ chains.clear();
+ }
+
+ void add(int jc, float mass) {
+
+ if (chains.size()) {
+ std::vector<std::pair<int,float> >::iterator it=chains.begin();
+ while ( it!=chains.end() && mass>(*it).second ) ++it;
+ chains.insert(it,std::pair<int,float>(jc,mass));
+ }
+ else {
+ chains.push_back(std::pair<int,float>(jc,mass));
+ }
+ }
+ };
+
+
+ /// Book histograms and initialise projections before the run
+ void init() {
+
+ /// @todo Initialise and register projections here
+ ChargedFinalState cfs(-2.5, 2.5, 0.1*GeV);
+ addProjection(cfs,"CFS");
+
+ // pion mass;
+ pim = 0.1396;
+
+ /// @todo Book histograms here, e.g.:
+ book(_DeltaQ , 1, 1, 1);
+ book(_Delta3h, 2, 1, 1);
+ book(_dalitz , 3, 1, 1);
+
+ // auxiliary
+ book(_h_nch, "_nch", 200, -0.5, 199.5);
+
+ }
+
+
+ /// Perform the per-event analysis
+ void analyze(const Event& event) {
+ //const double weight = event.weight();
+ bool match =false;
+
+ /// @todo Do the event by event analysis here
+ const ChargedFinalState& had = applyProjection<ChargedFinalState>(event, "CFS");
+ ParticleVector hs=had.particles();
+ int nch = hs.size();
+
+ if (nch < 3) return;
+
+ _h_nch->fill(1.*nch,1.);
+
+ for (unsigned int i=0; i < hs.size() - 1; ++i) {
+ for (unsigned int j=i+1; j < hs.size(); ++j) {
+ double q12 = qq(hs[i],hs[j],match);
+ if (match) _DeltaQ->fill(q12,-1.);
+ else _DeltaQ->fill(q12,1.);
+ }
+ }
+
+ // chain selection
+
+ std::vector<float> wchain;
+ std::vector< std::vector<unsigned int> > rchains;
+ std::vector< std::vector<float> > mchains;
+ wchain.clear(); rchains.clear(); mchains.clear();
+ for (unsigned int ip1 = 0; ip1< hs.size(); ++ip1 ) {
+ wchain.push_back(1.);
+ std::vector<unsigned int> cc(1,ip1);
+ std::vector<float> mc;
+
+ double qlmin=10000.; int ilmin=-1;
+ for (unsigned ip2 = 0; ip2 < hs.size(); ++ip2) {
+ if (ip2==ip1) continue;
+ double ql = qq(hs[ip1],hs[ip2],match);
+ if (!match) continue; // looking for closest like-sign match
+ if (ql <qlmin) { qlmin=ql; ilmin=ip2;}
+ }
+ if (ilmin<0) {
+ wchain.back()=0.;
+ mc.push_back(-1.);
+ }
+ else { // search for unlike-sign match
+ cc.push_back(ilmin);
+ mc.push_back(qlmin);
+ if (int(ip1)>ilmin && rchains[ilmin][1]==ip1) {
+ // std::cout <<"exclusive match:"<< std::endl;
+ wchain.back()=0.5; wchain[ilmin]=0.5;
+ }
+
+ double m3min=10000.; int ixmin=-1;
+ for (unsigned ip2 = 0; ip2< hs.size(); ++ip2) {
+ if (ip2==ip1 || int(ip2)==ilmin ) continue;
+ double qx = qq(hs[ip1],hs[ip2],match);
+ if (match) continue;
+ double qxl = qq(hs[ip2],hs[ilmin],match);
+ double m3 = sqrt(9*pim*pim+qxl*qxl+qlmin*qlmin+qx*qx);
+ if (m3 <m3min) { m3min=m3; ixmin=ip2;}
+ }
+
+ if (ixmin<0) {
+ wchain.back()=0.;
+ mc.push_back(-1.);
+ }
+ else {
+ cc.push_back(ixmin);
+ mc.push_back(m3min);
+ }
+ }
+ rchains.push_back(cc);
+ mchains.push_back(mc);
+ }
+
+ // cleanup: association rate for like-sign pairs should not exceed 2
+ std::vector<float> assoc(hs.size(),0.); // cache for association rate
+ std::vector<bool> accept(rchains.size(), false);
+ // loop over chains and accept lowest masses while watching the association rate
+ int inext = 0;
+ while ( inext>-1 ) {
+ inext = -1; float cMin = 100000.;
+ // find non-accepted chain with lowest Q_ls; dissolve chains if association count over 2
+ for (unsigned int ic=0; ic < rchains.size(); ++ic) {
+ if (rchains[ic].size() < 2) continue;
+ if (accept[ic]) continue;
+ if (mchains[ic][0] < cMin) { cMin = mchains[ic][0]; inext=ic; }
+ }
+ if (inext>-1 ) {
+ unsigned int cloc0 = rchains[inext][0];
+ unsigned int cloc1 = rchains[inext][1];
+ if ( (assoc[cloc0] + 1. <= 2.) && (assoc[cloc1] + 1. <= 2.) ) { // chain can be accepted
+ accept[inext]=true;
+ assoc[cloc0]+=1.;
+ assoc[cloc1]+=1.;
+ if (wchain[inext]==0.5) { // accept the identical chain, too
+ for (unsigned int ic=0; ic<hs.size(); ++ic) {
+ if (rchains[ic][0] == cloc1 && rchains[ic][1] == cloc0) {
+ accept[ic]=true;
+ break;
+ }
+ }
+ }
+ }
+ else if ( assoc[cloc0]>1 ) { // association count filled up, discard chain
+ accept[inext]=true;
+ wchain[inext]=0.;
+ }
+ else { // dissolve chain and find new association
+ unsigned int i1 = rchains[inext][0];
+ float mMn = 1000000.;
+ int ipn = -1;
+ for (unsigned int i2=0; i2<hs.size(); ++i2) {
+ if (i1 == i2) continue;
+ double m = qq(hs[i1],hs[i2],match);
+ if (!match) continue;
+ if (assoc[i2] > 1.) continue;
+ if (m > 0. && m <mMn ) { mMn = m; ipn = i2;}
+ }
+ if (ipn >= 0) {
+ rchains[inext][1]=ipn; mchains[inext][0]=mMn;
+ // resolve chain weight : by default, it is 1.
+ wchain[inext]=1.;
+ // check exclusivity of pairing
+ for (unsigned int ico=0; ico<hs.size(); ++ico) {
+ if (int(rchains[ico][0]) == ipn && rchains[ico][1] == i1) { // scale the contribution from both chains
+ wchain[ico]=0.5;
+ wchain[inext]=0.5;
+ }
+ }
+ // add 3.member
+ // continue with arbitrary match
+ int ipnn=-1; float mMnn = 10000.;
+ mMn = 1000000.;
+ for (unsigned int ij=0; ij < hs.size(); ++ij) {
+ rchains[inext].resize(2);
+ float q02 = qq(hs[i1],hs[ij],match);
+ if (match>0.) continue;
+ float q12 = qq(hs[ipn],hs[ij],match);
+ double m3 = sqrt(9*pim*pim+q02*q02+mMn*mMn+q12*q12);
+ if (m3>0. && m3 <mMnn ) { mMnn = m3; ipnn = ij; }
+ }
+ if (ipnn>=0) { rchains[inext].push_back(ipnn); rchains[inext][2]=ipnn; mchains[inext][1]=mMnn; }
+ else {accept[inext]=true; wchain[inext]=0.;}
+ }
+ else { // chain not recovered
+ wchain[inext]=0.;
+ accept[inext]=true;
+ }
+ }
+ }
+ } // end loop over chains
+
+ // cleanup: association rate for unlike-sign pairs
+ // third member verification
+ std::vector<bool> accept3(rchains.size(),false);
+ // watch unlike-sign combinations used
+ std::vector<usedX> used;
+ // loop over chains and accept lowest masses while watching the association rate
+ inext = 0;
+ while ( inext>-1 ) {
+ inext = -1; float cMin = 100000.;
+ // find non-accepted chain with lowest mass; dissolve chains if association count over 3
+ for (unsigned int ic=0; ic < rchains.size(); ++ic) {
+ if (rchains[ic].size() < 3 || !wchain[ic] || !accept[ic]) continue;
+ if (accept3[ic]) continue;
+ if (mchains[ic][1]<cMin) { cMin = mchains[ic][1]; inext=ic; }
+ }
+ // check association counts
+ if (inext>-1 ) {
+ unsigned int cloc0 = rchains[inext][0];
+ unsigned int cloc1 = rchains[inext][1];
+ unsigned int cloc2 = rchains[inext][2];
+
+ // map use of unlike sign pairs
+ int iu0 = -1; float w0=0.;
+ for (unsigned int iu=0; iu<used.size(); ++iu) {
+ if (fmin(cloc0,cloc2)==used[iu].locMin && fmax(cloc0,cloc2)==used[iu].locMax ) {
+ iu0=iu;
+ if (used[iu].chains.size() > 0)
+ for (unsigned int iw=0; iw<used[iu].chains.size(); ++iw) w0+=wchain[used[iu].chains[iw].first];
+ //used[iu].add(i1,mch[1]);
+ break;
+ }
+ }
+ if (iu0<0) { used.push_back(usedX(fmin(cloc0,cloc2),fmax(cloc0,cloc2)));iu0=used.size()-1; }
+ int iu1 = -1; float w1=0.;
+ for (unsigned int iu=0; iu<used.size(); ++iu) {
+ if (fmin(cloc1,cloc2)==used[iu].locMin && fmax(cloc1,cloc2)==used[iu].locMax) {
+ iu1=iu;
+ if (used[iu].chains.size()>0)
+ for (unsigned int iw=0; iw<used[iu].chains.size(); iw++) w1 += wchain[used[iu].chains[iw].first];
+ //used[iu].add(inext,mch[1]);
+ break;
+ }
+ }
+ if (iu1<0) { used.push_back(usedX(fmin(cloc1,cloc2),fmax(cloc1,cloc2))); iu1=used.size()-1; }
+
+ if ( assoc[cloc2] < 3. && w0 < 2. && w1 < 2.) {
+ accept3[inext] = true;
+ assoc[cloc2] += 1.;
+ used[iu0].add(inext, mchains[inext][1]);
+ used[iu1].add(inext, mchains[inext][1]);
+ if (wchain[inext]==0.5) { // accept the identical chain, too
+ for (unsigned int ic=0; ic< rchains.size(); ++ic) {
+ if (rchains[ic][0]==cloc1 && rchains[ic][1] == cloc0) {
+ accept3[ic]=true;
+ used[iu0].add(ic, mchains[ic][1]);
+ used[iu1].add(ic, mchains[ic][1]);
+ break;
+ }
+ }
+ }
+ }
+ else { // find new association
+ int i1 = rchains[inext][0];
+ int i2 = rchains[inext][1];
+ float mMn = 1000000.;
+ int ipn=-1; int iploc=-1;
+ rchains[inext].pop_back();
+ for (unsigned int i3 = 0; i3 < hs.size(); ++i3) {
+ double q02 = qq(hs[i1],hs[i3],match);
+ if (match > 0.) continue;
+ if (assoc[i3] > 3-wchain[inext]) continue;
+ // check pair association
+ w0=0.; w1=0.;
+ for (unsigned int iu=0; iu<used.size(); ++iu) {
+ if (fmin(cloc0,i3)==used[iu].locMin && fmax(cloc0,i3)==used[iu].locMax ) {
+ if (used[iu].chains.size() > 0)
+ for (unsigned int iw=0; iw<used[iu].chains.size(); ++iw) w0 += wchain[used[iu].chains[iw].first];
+ }
+ if (fmin(cloc1,i3)==used[iu].locMin && fmax(cloc1,i3)==used[iu].locMax ) {
+ if (used[iu].chains.size()>0)
+ for (unsigned int iw=0; iw<used[iu].chains.size(); ++iw) w1 += wchain[used[iu].chains[iw].first];
+ }
+ }
+ if (w0+wchain[inext]>2. || w1+wchain[inext]>2.) continue;
+
+ float q12 = qq(hs[i2],hs[i3],match);
+ float q01 = qq(hs[i1],hs[i2],match);
+ float m = sqrt(9*pim*pim+q02*q02+q01*q01+q12*q12);
+ if (m>0. && m <mMn ) { mMn = m; ipn = i3; iploc = i3; }
+ }
+ if (ipn>=0) {
+ rchains[inext].push_back(ipn); rchains[inext][2]=iploc; mchains[inext][1]=mMn;
+ }
+ else { // chain not recovered
+ wchain[inext]=0.;
+ }
+ }
+ }
+ } // end loop over chains
+ // end 3rd member optimization
+
+ for (unsigned int ip=0; ip < wchain.size(); ++ip) {
+ if (!wchain[ip]) continue;
+ if (rchains[ip].size() < 3) continue;
+ float m3min = mchains[ip][1];
+ if (m3min > 0.59) continue;
+ // dalitz plot
+ std::pair<float,float> dd = dalitz3(hs[rchains[ip][0]], hs[rchains[ip][1]], hs[rchains[ip][2]]);
+ _dalitz->fill(dd.first,dd.second,1.*wchain[ip]);
+ // Delta(Q) spectra
+ float qlmin = mchains[ip][0];
+ float qxmin = qq(hs[rchains[ip][0]], hs[rchains[ip][2]], match);
+ float xlmin = qq(hs[rchains[ip][1]], hs[rchains[ip][2]], match);
+ _Delta3h->fill(qxmin, 0.5*wchain[ip]);
+ _Delta3h->fill(xlmin, 0.5*wchain[ip]);
+ _Delta3h->fill(qlmin, -1.*wchain[ip]);
+ }
+ }
+
+ /// Normalise histograms etc., after the run
+ void finalize() {
+
+
+ // normalize by the number of charged particles
+ // counter automatic division by bin size
+ double norm = 0.01 / (_h_nch->xMean()*_h_nch->numEntries());
+ _dalitz->scaleW(norm);
+ _DeltaQ->scaleW(norm);
+ _Delta3h->scaleW(norm);
+
+ }
+
+ //@}
+ double qq(const Particle& gp1, const Particle& gp2, bool& match) {
+ match = gp1.charge() * gp2.charge() > 0;
+ FourMomentum p1, p2;
+ p1.setPM(gp1.px(), gp1.py(), gp1.pz(), pim);
+ p2.setPM(gp2.px(), gp2.py(), gp2.pz(), pim);
+ return sqrt(fmax(0., (p1 + p2).mass2() - 4*pim*pim));
+ }
+
+ std::pair<float,float> dalitz3(const Particle& gp1, const Particle& gp2, const Particle& gp3) const {
+
+ float p1= gp1.pt();
+ float p2= gp2.pt();
+ float p3= gp3.pt();
+ float th1 = gp1.theta();
+ float th2 = gp2.theta();
+ float th3 = gp3.theta();
+ float ph1 = gp1.phi();
+ float ph2 = gp2.phi();
+ float ph3 = gp3.phi();
+ float e1 = sqrt(p1*p1+pim*pim);
+ float e2 = sqrt(p2*p2+pim*pim);
+ float e3 = sqrt(p3*p3+pim*pim);
+
+ float p1x = p1*cos(ph1)*sin(th1);
+ float p1y = p1*sin(ph1)*sin(th1);
+ float p1z = p1*cos(th1);
+
+ float p2x = p2*cos(ph2)*sin(th2);
+ float p2y = p2*sin(ph2)*sin(th2);
+ float p2z = p2*cos(th2);
+
+ float p3x = p3*cos(ph3)*sin(th3);
+ float p3y = p3*sin(ph3)*sin(th3);
+ float p3z = p3*cos(th3);
+
+ float px = p1x+p2x+p3x;
+ float py = p1y+p2y+p3y;
+ float pz = p1z+p2z+p3z;
+ float ap = sqrt(px*px+py*py+pz*pz);
+ float e=e1+e2+e3;
+
+ float beta = ap/e;
+ float gamma = 1./sqrt(1-beta*beta);
+
+ float p1l = (p1x*px+p1y*py+p1z*pz)/ap;
+ float p2l = (p2x*px+p2y*py+p2z*pz)/ap;
+ float p3l = (p3x*px+p3y*py+p3z*pz)/ap;
+
+ float e1_boost = gamma*e1-gamma*beta*p1l;
+ float e2_boost = gamma*e2-gamma*beta*p2l;
+ float e3_boost = gamma*e3-gamma*beta*p3l;
+
+ float Q = sqrt(e*e-ap*ap)-3*pim;
+
+ return std::pair<float,float>(sqrt(3.)*(e1_boost-e2_boost)/Q , 3*(e3_boost-pim)/Q-1.);
+ }
+
+ private:
+
+ // Data members like post-cuts event weight counters go here
+ float pim;
+
+ private:
+
+ /// @name Histograms
+ Histo1DPtr _DeltaQ;
+ Histo1DPtr _Delta3h;
+ Histo1DPtr _h_nch;
+ Histo2DPtr _dalitz;
+ //@}
+ };
+
+ // This global object acts as a hook for the plugin system
+ DECLARE_RIVET_PLUGIN(ATLAS_2017_I1624693);
+}
diff --git a/analyses/pluginATLAS/ATLAS_2017_I1624693.info b/analyses/pluginATLAS/ATLAS_2017_I1624693.info
new file mode 100644
--- /dev/null
+++ b/analyses/pluginATLAS/ATLAS_2017_I1624693.info
@@ -0,0 +1,48 @@
+Name: ATLAS_2017_I1624693
+Year: 2017
+Summary: Study of ordered hadron chains at 7 TeV
+Experiment: ATLAS
+Collider: LHC
+InspireID: 1624693
+Status: VALIDATED
+Authors:
+ - Sharka Todorova-Nova <sarka.todorova@cern.ch>
+ - Christian Gutschow <chris.g@cern.ch>
+References:
+ - Phys.Rev. D96 (2017) no.9, 092008
+ - doi:10.1103/PhysRevD.96.092008
+ - arXiv:1709.07384 [hep-ex]
+Keyword:
+ - MINBIAS
+ - QCD
+RunInfo:
+ minimum bias, charged tracks with pT>100 MeV, |eta|<2.5
+Luminosity_fb: 190E-09
+Beams: [p+, p+]
+Energies: [7000]
+PtCuts: [0.1]
+Description:
+ 'The analysis of the momentum difference between charged hadrons in high-energy proton-proton collisions is performed in order to
+ study coherent particle production. The observed correlation pattern agrees with a model of a helical QCD string fragmenting into
+ a chain of ground-state hadrons. A threshold momentum difference in the production of adjacent pairs of charged hadrons is
+ observed, in agreement with model predictions. The presence of low-mass hadron chains also explains the emergence of
+ charge-combination-dependent two-particle correlations commonly attributed to Bose-Einstein interference. The data sample consists
+ of 190 $\mu\text{b}^{-1}$ of minimum-bias events collected with proton-proton collisions at a center-of-mass energy
+ $\sqrt{s}$ = 7 TeV in the early low-luminosity data taking with the ATLAS detector at the LHC.'
+BibKey: Aaboud:2017plr
+BibTeX: '@article{Aaboud:2017plr,
+ author = "Aaboud, M. and others",
+ title = "{Study of ordered hadron chains with the ATLAS detector}",
+ collaboration = "ATLAS",
+ journal = "Phys. Rev.",
+ volume = "D96",
+ year = "2017",
+ number = "9",
+ pages = "092008",
+ doi = "10.1103/PhysRevD.96.092008",
+ eprint = "1709.07384",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ reportNumber = "CERN-EP-2017-092",
+ SLACcitation = "%%CITATION = ARXIV:1709.07384;%%"
+}'
diff --git a/analyses/pluginATLAS/ATLAS_2017_I1624693.plot b/analyses/pluginATLAS/ATLAS_2017_I1624693.plot
new file mode 100644
--- /dev/null
+++ b/analyses/pluginATLAS/ATLAS_2017_I1624693.plot
@@ -0,0 +1,45 @@
+BEGIN PLOT /ATLAS_2017_I1624693/d01-x01-y01
+Title=
+XLabel=$Q$ [GeV]
+YLabel=$\Delta (Q)$
+LogY=0
+YMin=-0.002
+LegendXPos=0.98
+LegendAlign=r
+RatioPlotMode=deviation
+END PLOT
+
+BEGIN PLOT /ATLAS_2017_I1624693/d02-x01-y01
+Title=
+XLabel=$Q$ [GeV]
+YLabel=$\Delta_\text{3h} (Q)$
+LogY=0
+LegendXPos=0.98
+LegendYPos=0.3
+LegendAlign=r
+RatioPlotMode=deviation
+END PLOT
+
+BEGIN PLOT /ATLAS_2017_I1624693/d03-x01-y01
+Title=$m_\text{3h} < 0.59$ GeV
+XLabel=$X$
+YLabel=$Y$
+ZLabel=$N_\text{3h} / N_\text{ch}$
+ZLabelSep=6.5
+RightMargin=1.0
+LogZ=1
+ZMax=0.005
+ZMin=0.00000011
+END PLOT
+
+BEGIN PLOT /ATLAS_2017_I1624693/d03-x01-y02
+Title=$m_\text{3h} < 0.59$ GeV
+XLabel=$X$
+YLabel=$Y$
+ZLabel=(data - MC)/$\sigma$
+ZLabelSep=6.5
+LogZ=0
+ZMax=20
+ZMin=-5
+END PLOT
+
diff --git a/analyses/pluginATLAS/ATLAS_2017_I1624693.yoda b/analyses/pluginATLAS/ATLAS_2017_I1624693.yoda
new file mode 100644
--- /dev/null
+++ b/analyses/pluginATLAS/ATLAS_2017_I1624693.yoda
@@ -0,0 +1,1880 @@
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1624693/d01-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1624693/d01-x01-y01
+Title=doi:10.17182/hepdata.77268.v1/t1
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 5.000000e-03 5.000000e-03 -2.223540e-04 4.316780e-05 4.316780e-05
+3.500000e-02 5.000000e-03 5.000000e-03 -4.501510e-04 4.708006e-05 4.708006e-05
+4.500000e-02 5.000000e-03 5.000000e-03 -6.594960e-04 4.889610e-05 4.889610e-05
+5.500000e-02 5.000000e-03 5.000000e-03 -8.688310e-04 5.430069e-05 5.430069e-05
+6.500000e-02 5.000000e-03 5.000000e-03 -1.026030e-03 6.079718e-05 6.079718e-05
+7.500000e-02 5.000000e-03 5.000000e-03 -1.136330e-03 6.852031e-05 6.852031e-05
+8.500000e-02 5.000000e-03 5.000000e-03 -1.150830e-03 7.629542e-05 7.629542e-05
+9.500000e-02 5.000000e-03 5.000000e-03 -1.162580e-03 8.658369e-05 8.658369e-05
+1.050000e-01 5.000000e-03 5.000000e-03 -1.091320e-03 9.607178e-05 9.607178e-05
+1.150000e-01 5.000000e-03 5.000000e-03 -9.969780e-04 1.036740e-04 1.036740e-04
+1.250000e-01 5.000000e-03 5.000000e-03 -8.016040e-04 1.126086e-04 1.126086e-04
+1.350000e-01 5.000000e-03 5.000000e-03 -6.130660e-04 1.231174e-04 1.231174e-04
+1.450000e-01 5.000000e-03 5.000000e-03 -3.855020e-04 1.321502e-04 1.321502e-04
+1.550000e-01 5.000000e-03 5.000000e-03 -1.577400e-04 1.419175e-04 1.419175e-04
+1.650000e-01 5.000000e-03 5.000000e-03 7.195320e-05 1.527898e-04 1.527898e-04
+1.750000e-01 5.000000e-03 5.000000e-03 4.355950e-04 1.625890e-04 1.625890e-04
+1.850000e-01 5.000000e-03 5.000000e-03 6.586040e-04 1.720547e-04 1.720547e-04
+1.950000e-01 5.000000e-03 5.000000e-03 9.420940e-04 1.819788e-04 1.819788e-04
+2.050000e-01 5.000000e-03 5.000000e-03 1.168530e-03 1.921263e-04 1.921263e-04
+2.150000e-01 5.000000e-03 5.000000e-03 1.522740e-03 2.026469e-04 2.026469e-04
+2.250000e-01 5.000000e-03 5.000000e-03 1.955900e-03 2.134775e-04 2.134775e-04
+2.350000e-01 5.000000e-03 5.000000e-03 2.312240e-03 2.242331e-04 2.242331e-04
+2.450000e-01 5.000000e-03 5.000000e-03 2.950830e-03 2.362122e-04 2.362122e-04
+2.550000e-01 5.000000e-03 5.000000e-03 3.194700e-03 2.452830e-04 2.452830e-04
+2.650000e-01 5.000000e-03 5.000000e-03 3.297870e-03 2.550536e-04 2.550536e-04
+2.750000e-01 5.000000e-03 5.000000e-03 3.470050e-03 2.635020e-04 2.635020e-04
+2.850000e-01 5.000000e-03 5.000000e-03 3.750340e-03 2.730917e-04 2.730917e-04
+2.950000e-01 5.000000e-03 5.000000e-03 3.845610e-03 2.821452e-04 2.821452e-04
+3.050000e-01 5.000000e-03 5.000000e-03 3.745150e-03 2.967598e-04 2.967598e-04
+3.150000e-01 5.000000e-03 5.000000e-03 3.921330e-03 2.986862e-04 2.986862e-04
+3.250000e-01 5.000000e-03 5.000000e-03 4.202260e-03 3.072474e-04 3.072474e-04
+3.350000e-01 5.000000e-03 5.000000e-03 4.392580e-03 3.154422e-04 3.154422e-04
+3.450000e-01 5.000000e-03 5.000000e-03 4.540860e-03 3.234571e-04 3.234571e-04
+3.550000e-01 5.000000e-03 5.000000e-03 4.733200e-03 3.308746e-04 3.308746e-04
+3.650000e-01 5.000000e-03 5.000000e-03 4.969660e-03 3.380075e-04 3.380075e-04
+3.750000e-01 5.000000e-03 5.000000e-03 5.126390e-03 3.447178e-04 3.447178e-04
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+1.995000e+00 5.000000e-03 5.000000e-03 1.576930e-04 1.133987e-04 1.133987e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2017_I1624693/d02-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1624693/d02-x01-y01
+Title=doi:10.17182/hepdata.77268.v1/t2
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
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+8.500000e-02 5.000000e-03 5.000000e-03 -1.081680e-03 8.120408e-05 8.120408e-05
+9.500000e-02 5.000000e-03 5.000000e-03 -1.130280e-03 8.424307e-05 8.424307e-05
+1.050000e-01 5.000000e-03 5.000000e-03 -1.067750e-03 8.675131e-05 8.675131e-05
+1.150000e-01 5.000000e-03 5.000000e-03 -8.560940e-04 8.877013e-05 8.877013e-05
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+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER3D /REF/ATLAS_2017_I1624693/d03-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1624693/d03-x01-y01
+Title=doi:10.17182/hepdata.77268.v1/t3
+Type=Scatter3D
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+END YODA_SCATTER3D
+
+BEGIN YODA_SCATTER3D /REF/ATLAS_2017_I1624693/d04-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1624693/d04-x01-y01
+Title=doi:10.17182/hepdata.77268.v1/t4
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
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+END YODA_SCATTER3D
+
+BEGIN YODA_SCATTER3D /REF/ATLAS_2017_I1624693/d05-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1624693/d05-x01-y01
+Title=doi:10.17182/hepdata.77268.v1/t5
+Type=Scatter3D
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+END YODA_SCATTER3D
+
+BEGIN YODA_SCATTER3D /REF/ATLAS_2017_I1624693/d06-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2017_I1624693/d06-x01-y01
+Title=doi:10.17182/hepdata.77268.v1/t6
+Type=Scatter3D
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+8.500000e-01 5.000000e-02 5.000000e-02 -5.500000e-01 5.000000e-02 5.000000e-02 5.925700e-07 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 -4.500000e-01 5.000000e-02 5.000000e-02 9.403500e-06 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 -3.500000e-01 5.000000e-02 5.000000e-02 2.606050e-05 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 -2.500000e-01 5.000000e-02 5.000000e-02 5.101580e-05 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 -1.500000e-01 5.000000e-02 5.000000e-02 6.264580e-05 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 -5.000000e-02 5.000000e-02 5.000000e-02 7.083210e-05 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 5.000000e-02 5.000000e-02 5.000000e-02 7.169970e-05 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 1.500000e-01 5.000000e-02 5.000000e-02 7.536080e-05 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 2.500000e-01 5.000000e-02 5.000000e-02 7.662470e-05 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 3.500000e-01 5.000000e-02 5.000000e-02 7.935290e-05 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 4.500000e-01 5.000000e-02 5.000000e-02 7.303210e-05 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 5.500000e-01 5.000000e-02 5.000000e-02 2.686850e-05 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 6.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 7.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 8.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
+8.500000e-01 5.000000e-02 5.000000e-02 9.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 -9.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
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+9.500000e-01 5.000000e-02 5.000000e-02 -7.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 -6.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 -5.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 -4.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 -3.500000e-01 5.000000e-02 5.000000e-02 3.119360e-07 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 -2.500000e-01 5.000000e-02 5.000000e-02 3.979060e-06 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 -1.500000e-01 5.000000e-02 5.000000e-02 1.214760e-05 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 -5.000000e-02 5.000000e-02 5.000000e-02 2.649080e-05 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 5.000000e-02 5.000000e-02 5.000000e-02 3.535080e-05 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 1.500000e-01 5.000000e-02 5.000000e-02 3.832490e-05 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 2.500000e-01 5.000000e-02 5.000000e-02 3.527680e-05 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 3.500000e-01 5.000000e-02 5.000000e-02 2.182690e-05 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 4.500000e-01 5.000000e-02 5.000000e-02 1.617590e-06 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 5.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 6.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 7.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 8.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
+9.500000e-01 5.000000e-02 5.000000e-02 9.500000e-01 5.000000e-02 5.000000e-02 0.000000e+00 0.000000e+00 0.000000e+00
+END YODA_SCATTER3D
+
diff --git a/analyses/pluginATLAS/ATLAS_2017_I1624693_post.py b/analyses/pluginATLAS/ATLAS_2017_I1624693_post.py
new file mode 100644
--- /dev/null
+++ b/analyses/pluginATLAS/ATLAS_2017_I1624693_post.py
@@ -0,0 +1,69 @@
+
+import yoda, rivet, os
+from math import sqrt
+
+inFile = 'Rivet.yoda'
+
+hists = yoda.read( inFile )
+tags = sorted(hists.keys())
+
+# probably more fancy than it needs to be ...
+def getRivetRefData(anas=None):
+ "Find all Rivet reference data files"
+ refhistos = {}
+ for var in ("RIVET_ANALYSIS_PATH", "RIVET_DATA_PATH", "RIVET_REF_PATH", "RIVET_INFO_PATH", "RIVET_PLOT_PATH"):
+ if var in os.environ:
+ abspaths = map(os.path.abspath, os.environ[var].split(":"))
+ os.environ[var] = ":".join(abspaths)
+ rivet_data_dirs = rivet.getAnalysisRefPaths()
+ dirlist = [ ]
+ for d in rivet_data_dirs:
+ import glob
+ if anas is None:
+ dirlist.append(glob.glob(os.path.join(d, '*.yoda')))
+ else:
+ for a in anas:
+ dirlist.append(glob.glob(os.path.join(d, a+'*.yoda')))
+ for filelist in dirlist:
+ for infile in filelist:
+ analysisobjects = yoda.read(infile)
+ for path, ao in analysisobjects.iteritems():
+ aop = rivet.AOPath(ao.path)
+ if aop.isref():
+ ao.path = aop.basepath(keepref=False)
+ refhistos[ao.path] = ao
+ return refhistos
+
+# get hold of relevant objects in reference data files
+refhistos = getRivetRefData(['ATLAS_2017_I1624693'])
+
+def constructDiff(hist):
+ '''This function produces a (data - MC)/sigma version of the Dalitz (2D) plot.'''
+ path_data = hist.annotation('Path') # data central value
+ path_stat = hist.annotation('Path').replace('d03', 'd04') # data statistical uncertainty
+ path_unco = hist.annotation('Path').replace('d03', 'd05') # data uncorrelated uncertainty
+ data = refhistos[path_data]
+ stat = refhistos[path_stat]
+ unco = refhistos[path_unco]
+ data_integral = sum([ p.z for p in data.points ])
+ hist.normalize(data_integral)
+ rtn = hist.clone(); rtn.reset()
+ mc = yoda.mkScatter(hist)
+ for i in range(rtn.numBins):
+ sigma = sqrt(stat.points[i].z ** 2 + unco.points[i].z ** 2 + (mc.points[i].zErrs[0]) ** 2)
+ newz = (data.points[i].z - mc.points[i].z) / sigma if sigma else 0.0
+ #newz = (0.01 * mc.points[i].z - data.points[i].z) / sigma if sigma else 0.0
+ rtn.fillBin(i, newz)
+ return rtn
+
+# this is where the magic happens
+f = open('%s_processed.yoda' % inFile[:-5], 'w')
+for h in tags:
+ if 'd03-x01-y01' in h:
+ hdiff = constructDiff(hists[h])
+ outName = h.replace('y01', 'y02')
+ hdiff.setAnnotation('Path', outName)
+ yoda.writeYODA(hdiff, f)
+ yoda.writeYODA(hists[h], f)
+f.close()
+
diff --git a/analyses/pluginATLAS/ATLAS_2018_I1646686.cc b/analyses/pluginATLAS/ATLAS_2018_I1646686.cc
new file mode 100644
--- /dev/null
+++ b/analyses/pluginATLAS/ATLAS_2018_I1646686.cc
@@ -0,0 +1,299 @@
+// -*- C++ -*-
+#include "Rivet/Analysis.hh"
+#include "Rivet/Projections/FinalState.hh"
+#include "Rivet/Projections/VetoedFinalState.hh"
+#include "Rivet/Projections/IdentifiedFinalState.hh"
+#include "Rivet/Projections/PromptFinalState.hh"
+#include "Rivet/Projections/DressedLeptons.hh"
+#include "Rivet/Projections/FastJets.hh"
+#include "Rivet/Projections/PartonicTops.hh"
+#include "Rivet/Math/LorentzTrans.hh"
+
+namespace Rivet {
+
+
+ class ATLAS_2018_I1646686 : public Analysis {
+
+ public:
+ /// Constructor
+ /// @brief all-hadronic ttbar at 13 TeV
+ DEFAULT_RIVET_ANALYSIS_CTOR(ATLAS_2018_I1646686);
+
+ /// Book histograms and initialise projections before the run
+ void init() {
+
+ //histogram booking
+ book(_h["inclusive"],2,1,1);
+ bookHistograms("t_y", 1, true);
+ bookHistograms("t_pt", 2, true);
+ bookHistograms("t1_pt", 3);
+ bookHistograms("t1_y", 4);
+ bookHistograms("t2_pt", 5);
+ bookHistograms("t2_y", 6);
+ bookHistograms("tt_m", 7);
+ bookHistograms("tt_pt", 8);
+ bookHistograms("tt_y", 9);
+ bookHistograms("tt_chi", 10);
+ bookHistograms("tt_yboost", 11);
+ bookHistograms("tt_pout", 12);
+ bookHistograms("tt_dPhi", 13);
+ bookHistograms("tt_Ht", 14);
+ bookHistograms("tt_cosThStar", 15);
+
+ // Projections
+ Cut dressed_lep = (Cuts::abseta < 2.5) && (Cuts::pT >= 25*GeV);
+ Cut eta_full = (Cuts::abseta < 5.0);
+
+ // All final state particles
+ FinalState fs(eta_full);
+
+ // Get photons to dress leptons
+ IdentifiedFinalState photons(fs);
+ photons.acceptIdPair(PID::PHOTON);
+
+ // Projection to find the electrons
+ IdentifiedFinalState el_id(fs);
+ el_id.acceptIdPair(PID::ELECTRON);
+ PromptFinalState electrons(el_id);
+ electrons.acceptTauDecays(true);
+ DressedLeptons dressedelectrons(photons, electrons, 0.1, dressed_lep);
+ declare(dressedelectrons, "elecs");
+ DressedLeptons ewdressedelectrons(photons, electrons, 0.1, eta_full);
+
+ // Projection to find the muons
+ IdentifiedFinalState mu_id(fs);
+ mu_id.acceptIdPair(PID::MUON);
+ PromptFinalState muons(mu_id);
+ muons.acceptTauDecays(true);
+ DressedLeptons dressedmuons(photons, muons, 0.1, dressed_lep);
+ declare(dressedmuons, "muons");
+ DressedLeptons ewdressedmuons(photons, muons, 0.1, eta_full);
+
+ // Projection to find neutrinos for vetoing in jets
+ IdentifiedFinalState nu_id(fs);
+ nu_id.acceptNeutrinos();
+ PromptFinalState neutrinos(nu_id);
+ neutrinos.acceptTauDecays(true);
+
+ // Jet clustering.
+ VetoedFinalState lvfs(fs);
+ lvfs.addVetoOnThisFinalState(mu_id);
+ lvfs.addVetoOnThisFinalState(nu_id);
+
+ VetoedFinalState vfs;
+ vfs.addVetoOnThisFinalState(ewdressedelectrons);
+ vfs.addVetoOnThisFinalState(ewdressedmuons);
+ vfs.addVetoOnThisFinalState(neutrinos);
+
+ FastJets jets(vfs, FastJets::ANTIKT, 0.4);
+ jets.useInvisibles();
+ declare(jets, "jets");
+
+ FastJets ljets(lvfs, FastJets::ANTIKT, 1.0);
+ ljets.useInvisibles();
+ declare(ljets, "ljets" );
+
+ PartonicTops partonTops;
+ declare(partonTops, "partonicTops");
+ }
+
+
+ void analyze(const Event& event) {
+
+ // Parton-level top quarks
+ const Particles partonicTops = apply<PartonicTops>( event, "partonicTops").particlesByPt();
+ FourMomentum top, tbar;
+ bool foundT = false, foundTBar = false;
+ for (const Particle& ptop : partonicTops) {
+ const int pid = ptop.pid();
+ if (pid == PID::TQUARK) {
+ top = ptop.momentum();
+ foundT = true;
+ } else if (pid == -PID::TQUARK) {
+ tbar = ptop.momentum();
+ foundTBar = true;
+ }
+ }
+
+ FourMomentum t1_parton, t2_parton, ttbar_parton;
+ if ( foundT && foundTBar ) {
+ t1_parton = top.pT2() > tbar.pT2() ? top : tbar;
+ t2_parton = top.pT2() > tbar.pT2() ? tbar : top;
+ ttbar_parton = t1_parton + t2_parton;
+
+ if ( t1_parton.pT() > 500*GeV && t2_parton.pT() > 350*GeV) {
+
+ const double chi_parton = calcChi(t1_parton, t2_parton);
+ const double cosThetaStar_parton = abs(calcCosThetaStar(t1_parton, t2_parton));
+ const double pout_parton = abs(calcPout(t1_parton, t2_parton));
+ const double dPhi_parton = deltaPhi(t1_parton, t2_parton);
+
+ const int randomChoice = rand() % 2;
+ const FourMomentum& randomTopParton = (randomChoice == 0) ? t1_parton : t2_parton;
+
+ fillParton("t_pt", randomTopParton.pT()/GeV);
+ fillParton("t_y", randomTopParton.absrap());
+
+ fillParton("t1_pt", t1_parton.pT()/GeV);
+ fillParton("t1_y", t1_parton.absrap());
+ fillParton("t2_pt", t2_parton.pT()/GeV);
+ fillParton("t2_y", t2_parton.absrap());
+
+ fillParton("tt_m", ttbar_parton.mass()/GeV);
+ fillParton("tt_pt", ttbar_parton.pT()/GeV);
+ fillParton("tt_Ht", (t1_parton.pT() + t2_parton.pT())/GeV);
+ fillParton("tt_y", ttbar_parton.absrap());
+
+ fillParton("tt_yboost", 0.5 * abs(t1_parton.rapidity() + t2_parton.rapidity()));
+ fillParton("tt_chi", chi_parton);
+ fillParton("tt_cosThStar", cosThetaStar_parton);
+ fillParton("tt_pout", pout_parton/GeV);
+ fillParton("tt_dPhi", dPhi_parton);
+ }
+ }
+
+ // Get and veto on dressed leptons
+ const vector<DressedLepton> dressedElectrons = apply<DressedLeptons>(event, "elecs").dressedLeptons();
+ const vector<DressedLepton> dressedMuons = apply<DressedLeptons>(event, "muons").dressedLeptons();
+ if (!dressedElectrons.empty()) vetoEvent;
+ if (!dressedMuons.empty()) vetoEvent;
+
+ // Get jets
+ const Jets& all_jets = apply<FastJets>( event, "jets").jetsByPt(Cuts::pT > 25*GeV && Cuts::abseta < 2.5);
+ const FastJets& ljets_fj = apply<FastJets>( event, "ljets");
+ const Jets all_ljets = ljets_fj.jetsByPt();
+
+ // Trim the large-R jets
+ Jets trimmedJets;
+ fastjet::Filter trimmer(fastjet::JetDefinition(fastjet::kt_algorithm, 0.2), fastjet::SelectorPtFractionMin(0.05));
+ for (const Jet& jet : all_ljets)
+ trimmedJets += ljets_fj.trimJet(jet, trimmer);
+ trimmedJets = sortByPt(trimmedJets);
+
+ // Check large-R jets
+ Jets ljets;
+ vector<bool> b_tagged;
+ for (const Jet& jet : trimmedJets) {
+
+ if (jet.pT() < 250 * GeV) continue;
+ if (jet.pT() > 3000 * GeV) continue;
+ if (jet.mass() > jet.pT()) continue;
+ if (jet.abseta() > 2.0 ) continue;
+
+ ljets += jet;
+ b_tagged += jet.bTagged();
+ }
+
+ if (all_jets.size() < 2) vetoEvent;
+ if (ljets.size() < 2) vetoEvent;
+
+ // Identify top and anti top, compute some event variables
+ const FourMomentum ttbar = ljets[0].momentum() + ljets[1].momentum();
+ const FourMomentum t1 = ljets[0].momentum();
+ const FourMomentum t2 = ljets[1].momentum();
+
+ const double chi = calcChi(t1, t2);
+ const double cosThetaStar = abs(calcCosThetaStar(t1, t2));
+ const double pout = abs(calcPout(t1, t2));
+ const double dPhi = deltaPhi(t1, t2);
+
+ if ( t2.pT() < 350*GeV) vetoEvent;
+ if ( t1.pT() < 500*GeV) vetoEvent;
+
+ // b-tagging for particle done on large-R jets
+ if (!(b_tagged[0] && b_tagged[1])) vetoEvent;
+
+ // Continues with signal region cuts
+ if ( abs(t1.mass() - 172.5 * GeV) > 50*GeV ) vetoEvent;
+ if ( abs(t2.mass() - 172.5 * GeV) > 50*GeV ) vetoEvent;
+
+ _h["inclusive"]->fill(0);
+
+ fillHistograms("t1_pt", t1.pT()/GeV);
+ fillHistograms("t1_y", t1.absrap());
+ fillHistograms("t2_pt", t2.pT()/GeV);
+ fillHistograms("t2_y", t2.absrap());
+
+ fillHistograms("tt_m", ttbar.mass()/TeV);
+ fillHistograms("tt_pt", ttbar.pT()/GeV);
+ fillHistograms("tt_Ht", (t1.pT() + t2.pT())/GeV);
+ fillHistograms("tt_y", ttbar.absrap());
+
+ fillHistograms("tt_yboost", 0.5 * abs(t1.rapidity() + t2.rapidity()));
+ fillHistograms("tt_chi", chi);
+ fillHistograms("tt_cosThStar", cosThetaStar);
+ fillHistograms("tt_pout", pout/GeV);
+ fillHistograms("tt_dPhi", dPhi);
+
+ }
+
+
+ void finalize() {
+ // Normalize histograms
+ const double sf = crossSection() / sumOfWeights();
+ for (auto &hist : _h) {
+ scale(hist.second, sf);
+ if ((hist.first.find("_norm") != string::npos) && hist.second->integral(false)>0) hist.second->normalize(1.0, false);
+ }
+ }
+
+
+ double calcChi(const FourMomentum& t1, const FourMomentum& t2) {
+ double ystar = 0.5 * (t1.rapidity()-t2.rapidity());
+ double chi = exp( 2 * abs(ystar));
+ return chi;
+ }
+
+ double calcCosThetaStar(const FourMomentum& t1, const FourMomentum& t2) {
+ FourMomentum ttbar = t1 + t2;
+ LorentzTransform centreOfMassTrans;
+ ttbar.setX(0);
+ ttbar.setY(0);
+ centreOfMassTrans.setBetaVec( -ttbar.boostVector() );
+ FourMomentum t1_star = centreOfMassTrans.transform(t1);
+ double cosThetaStar = t1_star.pz()/t1_star.p3().mod();
+ return cosThetaStar;
+ }
+
+ double calcPout(const FourMomentum& t1, const FourMomentum& t2) {
+ Vector3 t1V = t1.p3();
+ Vector3 t2V = t2.p3();
+ Vector3 zUnit = Vector3(0., 0., 1.);
+ Vector3 vPerp = zUnit.cross(t1V);
+
+ double pout = vPerp.dot(t2V)/vPerp.mod();
+ return pout;
+ }
+
+
+ private:
+
+ map<string, Histo1DPtr> _h;
+
+ //some functions for booking, filling and scaling the histograms
+ void fillHistograms(std::string name, double value) {
+ _h[name]->fill(value);
+ _h[name + "_norm"]->fill(value);
+ }
+
+ void fillParton(std::string name, double value) {
+ _h[name + "_parton"]->fill(value);
+ _h[name + "_parton_norm"]->fill(value);
+ }
+
+ void bookHistograms(const std::string name, unsigned int index, bool onlyParton = false) {
+ if (!onlyParton) {
+ book(_h[name], index, 1, 1 );
+ book(_h[name + "_norm"], index + 13, 1, 1 );
+ }
+ book(_h[name + "_parton"], index + 82, 1, 1 );
+ book(_h[name + "_parton_norm"], index + 97, 1, 1 );
+ }
+
+ };
+
+
+ DECLARE_RIVET_PLUGIN(ATLAS_2018_I1646686);
+
+
+}
diff --git a/analyses/pluginATLAS/ATLAS_2018_I1646686.info b/analyses/pluginATLAS/ATLAS_2018_I1646686.info
new file mode 100644
--- /dev/null
+++ b/analyses/pluginATLAS/ATLAS_2018_I1646686.info
@@ -0,0 +1,49 @@
+Name: ATLAS_2018_I1646686
+Year: 2018
+Summary: All-hadronic boosted ttbar at 13 TeV
+Experiment: ATLAS
+Collider: LHC
+InspireID: 1646686
+Status: VALIDATED
+Authors:
+ - Kyle Cormier <kyle.cormier@cern.ch>
+ - Christian Gutschow <chris.g@cern.ch>
+References:
+ - doi:10.17182/hepdata.81709.v1
+ - arXiv:1801.02052 [hep-ex]
+Keywords:
+ - TTBAR
+ - ALLHADRONIC
+ - BOOSTED
+RunInfo:
+ p + p -> ttbar (all-hadronic, boosted)
+Luminosity_fb: 36.1
+Beams: [p+, p+]
+Energies: [13000]
+PtCuts: [500,350]
+NeedCrossSection: True
+Description:
+ 'Measurements are made of differential cross-sections of highly boosted pair-produced top quarks as a function of top-quark and
+ $t\bar{t}$ system kinematic observables using proton--proton collisions at a center-of-mass energy of $\sqrt{s}=13$ TeV. The data
+ set corresponds to an integrated luminosity of 36.1 fb${}^{-1}$, recorded in 2015 and 2016 with the ATLAS detector at the CERN
+ Large Hadron Collider. Events with two large-radius jets in the final state, one with transverse momentum pT>500 GeV and a second
+ with $p_\text{T} > 350$ GeV, are used for the measurement. The top-quark candidates are separated from the multijet background
+ using jet substructure information and association with a $b$-tagged jet. The measured spectra are corrected for detector effects
+ to a particle-level fiducial phase space and a parton-level limited phase space, and are compared to several Monte Carlo simulations
+ by means of calculated $\chi^2$ values. The cross-section for $t\bar{t}$ production in the fiducial phase-space region is
+ 292$\pm$7 (stat)$\pm$76(syst) fb, to be compared to the theoretical prediction of 384$\pm$36 fb.'
+BibKey: Aaboud:2018eqg
+BibTeX: '@article{Aaboud:2018eqg,
+ author = "Aaboud, Morad and others",
+ title = "{Measurements of $t\bar{t}$ differential cross-sections
+ of highly boosted top quarks decaying to all-hadronic
+ final states in $pp$ collisions at $\sqrt{s}=13\,$ TeV
+ using the ATLAS detector}",
+ collaboration = "ATLAS",
+ year = "2018",
+ eprint = "1801.02052",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ reportNumber = "CERN-EP-2017-226",
+ SLACcitation = "%%CITATION = ARXIV:1801.02052;%%"
+}'
diff --git a/analyses/pluginATLAS/ATLAS_2018_I1646686.plot b/analyses/pluginATLAS/ATLAS_2018_I1646686.plot
new file mode 100644
--- /dev/null
+++ b/analyses/pluginATLAS/ATLAS_2018_I1646686.plot
@@ -0,0 +1,420 @@
+# BEGIN PLOT /ATLAS_2018_I1646686/*
+XTwosidedTicks=1
+YTwosidedTicks=1
+LegendAlign=r
+LogY=1
+LeftMargin=1.5
+RatioPlotYMin=0.75
+RatioPlotYMax=1.25
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d(0[2-9]|1[0-5]|8[3-9]|9[0-7])-x01-y01
+RatioPlotYMin=0
+RatioPlotYMax=2.2
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d(1[68]|2[01356]|98|10[13569]|11[01])-x01-y01
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d02-x01-y01
+XLabel=
+YLabel=Cross section [pb]
+XCustomMajorTicks=0.0 $\sigma_\text{fiducial}$
+Title=Inclusive fiducial particle-level cross section
+LogY=0
+LegendYPos=0.3
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d03-x01-y01
+XLabel=$p_{\text{T}}^{t,1} \ [\text{GeV}]$
+YLabel=$\text{d}\sigma / \text{d} p_{\text{T}}^{t,1} \ [\text{pb} \ \text{GeV}^{-1}]$
+Title=Particle-level leading top transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d04-x01-y01
+XLabel=$|y^{t,1}|$
+YLabel=$\text{d}\sigma / \text{d}|y^{t,1}| \ [\text{pb}]$
+Title=Particle-level leading top rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d05-x01-y01
+XLabel=$p_{\text{T}}^{t,2} \ [\text{GeV}]$
+YLabel=$\text{d}\sigma / \text{d}p_{\text{T}}^{t,2} \ [\text{pb} \ \text{GeV}^{-1}]$
+Title=Particle-level subleading top transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d06-x01-y01
+XLabel=$|y^{t,2}|$
+YLabel=$\text{d}\sigma / \text{d}|y^{t,2}| \ [\text{pb}]$
+Title=Particle-level subleading top rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d07-x01-y01
+XLabel=$m^{t\bar{t}} \ [\text{TeV}]$
+YLabel=$\text{d}\sigma / \text{d}m^{t\bar{t}} \ [\text{pb} \ \text{TeV}^{-1}]$
+Title=Particle-level $t\bar{t}$ invariant mass
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d08-x01-y01
+XLabel=$p_{\text{T}}^{t\bar{t}} \ [\text{GeV}]$
+YLabel=$\text{d}\sigma / \text{d} p_{\text{T}}^{t\bar{t}} \ [\text{pb} \ \text{GeV}^{-1}]$
+Title=Particle-level $t\bar{t}$ transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d09-x01-y01
+XLabel=$|y^{t\bar{t}}|$
+YLabel=$\text{d}\sigma / \text{d}|y^{t\bar{t}}| \ [\text{pb}]$
+Title=Particle-level $t\bar{t}$ rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d10-x01-y01
+XLabel=$\chi^{t\bar{t}}$
+YLabel=$\text{d}\sigma / \text{d} \chi^{t\bar{t}} \ [\text{pb}]$
+Title=Particle-level $t\bar{t}$ $\chi$
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d11-x01-y01
+XLabel=$y_{B}^{t\bar{t}}$
+YLabel=$\text{d}\sigma / \text{d} y_{B}^{t\bar{t}} \ [\text{pb}]$
+Title=Particle-level $t\bar{t}$ longitudinal boost
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d12-x01-y01
+XLabel=$|p_{\text{out}}^{t\bar{t}}| \ [\text{GeV}]$
+YLabel=$\text{d}\sigma / \text{d}| p_{\text{out}}^{t\bar{t}}| \ [\text{pb} \ \text{GeV}^{-1}]$
+Title=Particle-level $t\bar{t}$ out-of-plane momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d13-x01-y01
+XLabel=$\Delta\phi(t_{1},t_{2})$
+YLabel=$\text{d}\sigma / \text{d} \Delta\phi(t_{1},t_{2}) \ [\text{pb}]$
+Title=Particle-level $t\bar{t}$ azimuthal opening angle
+LegendAlign=l
+LegendXPos=0.05
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d14-x01-y01
+XLabel=$H_{\text{T}}^{t\bar{t}} \ [\text{GeV}]$
+YLabel=$\text{d}\sigma / \text{d} H_{\text{T}}^{t\bar{t}} \ [\text{pb} \ \text{GeV}^{-1}]$
+Title=Particle-level $t\bar{t}$ $H_{\text{T}}$
+LegendAlign=l
+LegendXPos=0.05
+LegendYPos=0.3
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d15-x01-y01
+XLabel=$|\cos{\theta^\ast}|$
+YLabel=$\text{d}\sigma / \text{d}|\cos{\theta^\ast}| \ [\text{pb}]$
+Title=Particle-level $t\bar{t}$ $\cos{\theta^\ast}$
+LogY=0
+LegendAlign=l
+LegendXPos=0.05
+LegendYPos=0.3
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d16-x01-y01
+XLabel=$p_{\text{T}}^{t,1} \ [\text{GeV}]$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d} p_{\text{T}}^{t,1} \ [\text{GeV}^{-1}]$
+Title=Particle-level leading top transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d17-x01-y01
+XLabel=$|y^{t,1}|$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}|y^{t,1}|$
+Title=Particle-level leading top rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d18-x01-y01
+XLabel=$p_{\text{T}}^{t,2} \ [\text{GeV}]$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}p_{\text{T}}^{t,2} \ [\text{GeV}^{-1}]$
+Title=Particle-level subleading top transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d19-x01-y01
+XLabel=$|y^{t,2}|$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}|y^{t,2}|$
+Title=Particle-level subleading top rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d20-x01-y01
+XLabel=$m^{t\bar{t}} \ [\text{TeV}]$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}m^{t\bar{t}} \ [\text{TeV}^{-1}]$
+Title=Particle-level $t\bar{t}$ invariant mass
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d21-x01-y01
+XLabel=$p_{\text{T}}^{t\bar{t}} \ [\text{GeV}]$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d} p_{\text{T}}^{t\bar{t}} \ [\text{GeV}^{-1}]$
+Title=Particle-level $t\bar{t}$ transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d22-x01-y01
+XLabel=$|y^{t\bar{t}}|$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}|y^{t\bar{t}}| \ [\text{pb}]$
+Title=Particle-level $t\bar{t}$ rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d23-x01-y01
+XLabel=$\chi^{t\bar{t}}$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d} \chi^{t\bar{t}} \ [\text{pb}]$
+Title=Particle-level $t\bar{t}$ $\chi$
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d24-x01-y01
+XLabel=$y_{B}^{t\bar{t}}$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d} y_{B}^{t\bar{t}} \ [\text{pb}]$
+Title=Particle-level $t\bar{t}$ longitudinal boost
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d25-x01-y01
+XLabel=$|p_{\text{out}}^{t\bar{t}}| \ [\text{GeV}]$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}|p_{\text{out}}^{t\bar{t}}| \ [\text{GeV}^{-1}]$
+Title=Particle-level $t\bar{t}$ out-of-plane momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d26-x01-y01
+XLabel=$\Delta\phi(t_{1},t_{2})$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d} \Delta\phi(t_{1},t_{2}) \ [\text{pb}]$
+Title=Particle-level $t\bar{t}$ azimuthal opening angle
+LegendAlign=l
+LegendXPos=0.05
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d27-x01-y01
+XLabel=$H_{\text{T}}^{t\bar{t}} \ [\text{GeV}]$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d} H_{\text{T}}^{t\bar{t}} \ [\text{GeV}^{-1}]$
+Title=Particle-level $t\bar{t}$ $H_{\text{T}}$
+LegendAlign=l
+LegendXPos=0.05
+LegendYPos=0.3
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d28-x01-y01
+XLabel=$|\cos{\theta^\ast}|$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma /\text{d}|\cos{\theta^\ast}| \ [\text{pb}]$
+Title=Particle-level $t\bar{t}$ $\cos{\theta^\ast}$
+LogY=0
+LegendAlign=l
+LegendXPos=0.05
+LegendYPos=0.3
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d83-x01-y01
+XLabel=$p_{\text{T}}^{t} \ [\text{GeV}]$
+YLabel=$\text{d}\sigma / \text{d} p_{\text{T}}^{t} \ [\text{pb} \ \text{GeV}^{-1}]$
+Title=Parton-level top transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d84-x01-y01
+XLabel=$|y^{t}|$
+YLabel=$\text{d}\sigma / \text{d}|y^{t}| \ [\text{pb}]$
+Title=Parton-level top rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d85-x01-y01
+XLabel=$p_{\text{T}}^{t,1} \ [\text{GeV}]$
+YLabel=$\text{d}\sigma / \text{d} p_{\text{T}}^{t,1} \ [\text{pb} \ \text{GeV}^{-1}]$
+Title=Parton-level leading top transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d86-x01-y01
+XLabel=$|y^{t,1}|$
+YLabel=$\text{d}\sigma / \text{d}|y^{t,1}| \ [\text{pb}]$
+Title=Parton-level leading top rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d87-x01-y01
+XLabel=$p_{\text{T}}^{t,2} \ [\text{GeV}]$
+YLabel=$\text{d}\sigma / \text{d}p_{\text{T}}^{t,2} \ [\text{pb} \ \text{GeV}^{-1}]$
+Title=Parton-level subleading top transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d88-x01-y01
+XLabel=$|y^{t,2}|$
+YLabel=$\text{d}\sigma / \text{d}|y^{t,2}| \ [\text{pb}]$
+Title=Parton-level subleading top rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d89-x01-y01
+XLabel=$m^{t\bar{t}} \ [\text{GeV}]$
+YLabel=$\text{d}\sigma / \text{d}m^{t\bar{t}} \ [\text{pb} \ \text{GeV}^{-1}]$
+Title=Parton-level $t\bar{t}$ invariant mass
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d90-x01-y01
+XLabel=$p_{\text{T}}^{t\bar{t}} \ [\text{GeV}]$
+YLabel=$\text{d}\sigma / \text{d} p_{\text{T}}^{t\bar{t}} \ [\text{pb} \ \text{GeV}^{-1}]$
+Title=Parton-level $t\bar{t}$ transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d91-x01-y01
+XLabel=$|y^{t\bar{t}}|$
+YLabel=$\text{d}\sigma / \text{d}|y^{t\bar{t}}| \ [\text{pb}]$
+Title=Parton-level $t\bar{t}$ rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d92-x01-y01
+XLabel=$\chi^{t\bar{t}}$
+YLabel=$\text{d}\sigma / \text{d} \chi^{t\bar{t}} \ [\text{pb}]$
+Title=Parton-level $t\bar{t}$ $\chi$
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d93-x01-y01
+XLabel=$y_{B}^{t\bar{t}}$
+YLabel=$\text{d}\sigma / \text{d} y_{B}^{t\bar{t}} \ [\text{pb}]$
+Title=Parton-level $t\bar{t}$ longitudinal boost
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d94-x01-y01
+XLabel=$|p_{\text{out}}^{t\bar{t}}| \ [\text{GeV}]$
+YLabel=$\text{d}\sigma / \text{d}| p_{\text{out}}^{t\bar{t}}| \ [\text{pb} \ \text{GeV}^{-1}]$
+Title=Parton-level $t\bar{t}$ out-of-plane momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d95-x01-y01
+XLabel=$\Delta\phi(t_{1},t_{2})$
+YLabel=$\text{d}\sigma / \text{d} \Delta\phi(t_{1},t_{2}) \ [\text{pb}]$
+Title=Parton-level $t\bar{t}$ azimuthal opening angle
+LegendAlign=l
+LegendXPos=0.05
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d96-x01-y01
+XLabel=$H_{\text{T}}^{t\bar{t}} \ [\text{GeV}]$
+YLabel=$\text{d}\sigma / \text{d} H_{\text{T}}^{t\bar{t}} \ [\text{pb} \ \text{GeV}^{-1}]$
+Title=Parton-level $t\bar{t}$ $H_{\text{T}}$
+LegendAlign=l
+LegendXPos=0.05
+LegendYPos=0.3
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d97-x01-y01
+XLabel=$|\cos{\theta^\ast}|$
+YLabel=$\text{d}\sigma / \text{d}|\cos{\theta^\ast}| \ [\text{pb}]$
+Title=Parton-level $t\bar{t}$ $\cos{\theta^\ast}$
+LogY=0
+LegendAlign=l
+LegendXPos=0.05
+LegendYPos=0.3
+# END PLOT
+
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d98-x01-y01
+XLabel=$p_{\text{T}}^{t} \ [\text{GeV}]$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d} p_{\text{T}}^{t} \ [\text{GeV}^{-1}]$
+Title=Parton-level top transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d99-x01-y01
+XLabel=$|y^{t}|$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}|y^{t}|$
+Title=Parton-level top rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d100-x01-y01
+XLabel=$p_{\text{T}}^{t,1} \ [\text{GeV}]$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d} p_{\text{T}}^{t,1} \ [\text{GeV}^{-1}]$
+Title=Parton-level leading top transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d101-x01-y01
+XLabel=$|y^{t,1}|$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}|y^{t,1}|$
+Title=Parton-level leading top rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d102-x01-y01
+XLabel=$p_{\text{T}}^{t,2} \ [\text{GeV}]$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}p_{\text{T}}^{t,2} \ [\text{GeV}^{-1}]$
+Title=Parton-level subleading top transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d103-x01-y01
+XLabel=$|y^{t,2}|$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}|y^{t,2}|$
+Title=Parton-level subleading top rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d104-x01-y01
+XLabel=$m^{t\bar{t}} \ [\text{GeV}]$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}m^{t\bar{t}} \ [\text{GeV}^{-1}]$
+Title=Parton-level $t\bar{t}$ invariant mass
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d105-x01-y01
+XLabel=$p_{\text{T}}^{t\bar{t}} \ [\text{GeV}]$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d} p_{\text{T}}^{t\bar{t}} \ [\text{GeV}^{-1}]$
+Title=Parton-level $t\bar{t}$ transverse momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d106-x01-y01
+XLabel=$|y^{t\bar{t}}|$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}|y^{t\bar{t}}| \ [\text{pb}]$
+Title=Parton-level $t\bar{t}$ rapidity
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d107-x01-y01
+XLabel=$\chi^{t\bar{t}}$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d} \chi^{t\bar{t}} \ [\text{pb}]$
+Title=Parton-level $t\bar{t}$ $\chi$
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d108-x01-y01
+XLabel=$y_{B}^{t\bar{t}}$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d} y_{B}^{t\bar{t}} \ [\text{pb}]$
+Title=Parton-level $t\bar{t}$ longitudinal boost
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d109-x01-y01
+XLabel=$|p_{\text{out}}^{t\bar{t}}| \ [\text{GeV}]$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}| p_{\text{out}}^{t\bar{t}}| \ [\text{GeV}^{-1}]$
+Title=Parton-level $t\bar{t}$ out-of-plane momentum
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d110-x01-y01
+XLabel=$\Delta\phi(t_{1},t_{2})$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d} \Delta\phi(t_{1},t_{2}) \ [\text{pb}]$
+Title=Parton-level $t\bar{t}$ azimuthal opening angle
+LegendAlign=l
+LegendXPos=0.05
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d111-x01-y01
+XLabel=$H_{\text{T}}^{t\bar{t}} \ [\text{GeV}]$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d} H_{\text{T}}^{t\bar{t}} \ [\text{GeV}^{-1}]$
+Title=Parton-level $t\bar{t}$ $H_{\text{T}}$
+LegendAlign=l
+LegendXPos=0.05
+LegendYPos=0.3
+# END PLOT
+
+# BEGIN PLOT /ATLAS_2018_I1646686/d112-x01-y01
+XLabel=$|\cos{\theta^\ast}|$
+YLabel=$1 / \sigma \ \cdot \ \text{d}\sigma / \text{d}|\cos{\theta^\ast}| \ [\text{pb}]$
+Title=Parton-level $t\bar{t}$ $\cos{\theta^\ast}$
+LogY=0
+LegendAlign=l
+LegendXPos=0.05
+LegendYPos=0.3
+# END PLOT
+
diff --git a/analyses/pluginATLAS/ATLAS_2018_I1646686.yoda b/analyses/pluginATLAS/ATLAS_2018_I1646686.yoda
new file mode 100644
--- /dev/null
+++ b/analyses/pluginATLAS/ATLAS_2018_I1646686.yoda
@@ -0,0 +1,2169 @@
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d02-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d02-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t2
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+0.000000e+00 5.000000e-01 5.000000e-01 2.916750e-01 7.120769e-02 7.120769e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d02-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d02-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t2
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d02-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d02-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t2
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+0.000000e+00 5.000000e-01 5.000000e-01 3.838300e-01 8.896220e-04 8.896220e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d03-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d03-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t3
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.250000e+02 2.500000e+01 2.500000e+01 2.236170e-03 4.879582e-04 4.879582e-04
+5.750000e+02 2.500000e+01 2.500000e+01 1.279620e-03 3.427802e-04 3.427802e-04
+6.250000e+02 2.500000e+01 2.500000e+01 7.177470e-04 2.031084e-04 2.031084e-04
+6.750000e+02 2.500000e+01 2.500000e+01 6.111250e-04 1.754356e-04 1.754356e-04
+7.250000e+02 2.500000e+01 2.500000e+01 3.146470e-04 1.039899e-04 1.039899e-04
+7.750000e+02 2.500000e+01 2.500000e+01 1.985430e-04 7.183890e-05 7.183890e-05
+9.000000e+02 1.000000e+02 1.000000e+02 8.195940e-05 3.596479e-05 3.596479e-05
+1.100000e+03 1.000000e+02 1.000000e+02 1.559540e-05 1.359909e-05 1.359909e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d03-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d03-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t3
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d03-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d03-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t3
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.250000e+02 2.500000e+01 2.500000e+01 2.787450e-03 1.168530e-05 1.168530e-05
+5.750000e+02 2.500000e+01 2.500000e+01 1.801580e-03 8.645730e-06 8.645730e-06
+6.250000e+02 2.500000e+01 2.500000e+01 1.111640e-03 5.433660e-06 5.433660e-06
+6.750000e+02 2.500000e+01 2.500000e+01 7.072210e-04 6.019850e-06 6.019850e-06
+7.250000e+02 2.500000e+01 2.500000e+01 4.443460e-04 4.280920e-06 4.280920e-06
+7.750000e+02 2.500000e+01 2.500000e+01 2.786610e-04 2.075500e-06 2.075500e-06
+9.000000e+02 1.000000e+02 1.000000e+02 1.065890e-04 6.635230e-07 6.635230e-07
+1.100000e+03 1.000000e+02 1.000000e+02 2.245180e-05 7.588190e-07 7.588190e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d04-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d04-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t4
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 2.372480e-01 5.698650e-02 5.698650e-02
+4.500000e-01 1.500000e-01 1.500000e-01 2.084940e-01 5.126167e-02 5.126167e-02
+7.500000e-01 1.500000e-01 1.500000e-01 1.772040e-01 4.905686e-02 4.905686e-02
+1.050000e+00 1.500000e-01 1.500000e-01 1.506600e-01 3.679127e-02 3.679127e-02
+1.350000e+00 1.500000e-01 1.500000e-01 1.088790e-01 2.839656e-02 2.839656e-02
+1.750000e+00 2.500000e-01 2.500000e-01 5.463410e-02 1.387795e-02 1.387795e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d04-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d04-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t4
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d04-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d04-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t4
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 3.250670e-01 1.379620e-03 1.379620e-03
+4.500000e-01 1.500000e-01 1.500000e-01 2.999290e-01 1.395110e-03 1.395110e-03
+7.500000e-01 1.500000e-01 1.500000e-01 2.496280e-01 1.247090e-03 1.247090e-03
+1.050000e+00 1.500000e-01 1.500000e-01 1.902540e-01 1.173670e-03 1.173670e-03
+1.350000e+00 1.500000e-01 1.500000e-01 1.254610e-01 9.997950e-04 9.997950e-04
+1.750000e+00 2.500000e-01 2.500000e-01 5.345650e-02 6.034800e-04 6.034800e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d05-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d05-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t5
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.750000e+02 2.500000e+01 2.500000e+01 4.757240e-04 1.219548e-04 1.219548e-04
+4.250000e+02 2.500000e+01 2.500000e+01 9.169150e-04 2.161097e-04 2.161097e-04
+4.750000e+02 2.500000e+01 2.500000e+01 1.341350e-03 3.157918e-04 3.157918e-04
+5.250000e+02 2.500000e+01 2.500000e+01 1.198550e-03 3.217267e-04 3.217267e-04
+5.750000e+02 2.500000e+01 2.500000e+01 6.307480e-04 1.871547e-04 1.871547e-04
+7.000000e+02 1.000000e+02 1.000000e+02 2.449040e-04 8.048441e-05 8.048441e-05
+1.000000e+03 2.000000e+02 2.000000e+02 2.045340e-05 1.056166e-05 1.056166e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d05-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d05-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t5
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d05-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d05-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t5
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.750000e+02 2.500000e+01 2.500000e+01 5.573500e-04 6.684410e-06 6.684410e-06
+4.250000e+02 2.500000e+01 2.500000e+01 1.014580e-03 8.211780e-06 8.211780e-06
+4.750000e+02 2.500000e+01 2.500000e+01 1.766800e-03 8.841420e-06 8.841420e-06
+5.250000e+02 2.500000e+01 2.500000e+01 1.724530e-03 7.610700e-06 7.610700e-06
+5.750000e+02 2.500000e+01 2.500000e+01 1.007390e-03 5.111680e-06 5.111680e-06
+7.000000e+02 1.000000e+02 1.000000e+02 3.323690e-04 1.391290e-06 1.391290e-06
+1.000000e+03 2.000000e+02 2.000000e+02 3.262970e-05 4.173330e-07 4.173330e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d06-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d06-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t6
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 2.474870e-01 6.421294e-02 6.421294e-02
+4.500000e-01 1.500000e-01 1.500000e-01 2.389740e-01 5.803514e-02 5.803514e-02
+7.500000e-01 1.500000e-01 1.500000e-01 1.726850e-01 4.190644e-02 4.190644e-02
+1.050000e+00 1.500000e-01 1.500000e-01 1.392950e-01 3.649855e-02 3.649855e-02
+1.350000e+00 1.500000e-01 1.500000e-01 1.029150e-01 2.580197e-02 2.580197e-02
+1.750000e+00 2.500000e-01 2.500000e-01 4.221880e-02 1.192649e-02 1.192649e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d06-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d06-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t6
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d06-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d06-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t6
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 3.208920e-01 1.463540e-03 1.463540e-03
+4.500000e-01 1.500000e-01 1.500000e-01 2.938180e-01 1.392660e-03 1.392660e-03
+7.500000e-01 1.500000e-01 1.500000e-01 2.513700e-01 1.609890e-03 1.609890e-03
+1.050000e+00 1.500000e-01 1.500000e-01 1.897720e-01 1.023150e-03 1.023150e-03
+1.350000e+00 1.500000e-01 1.500000e-01 1.285330e-01 7.666170e-04 7.666170e-04
+1.750000e+00 2.500000e-01 2.500000e-01 5.702870e-02 4.182340e-04 4.182340e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d07-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d07-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t7
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.050000e+00 5.000000e-02 5.000000e-02 4.842100e-01 1.127487e-01 1.127487e-01
+1.150000e+00 5.000000e-02 5.000000e-02 5.433390e-01 1.531328e-01 1.531328e-01
+1.250000e+00 5.000000e-02 5.000000e-02 4.256770e-01 1.125489e-01 1.125489e-01
+1.350000e+00 5.000000e-02 5.000000e-02 3.647560e-01 8.681384e-02 8.681384e-02
+1.450000e+00 5.000000e-02 5.000000e-02 2.798990e-01 8.273593e-02 8.273593e-02
+1.600000e+00 1.000000e-01 1.000000e-01 1.487580e-01 3.981493e-02 3.981493e-02
+1.800000e+00 1.000000e-01 1.000000e-01 1.040010e-01 3.634552e-02 3.634552e-02
+2.000000e+00 1.000000e-01 1.000000e-01 4.202450e-02 1.750385e-02 1.750385e-02
+2.200000e+00 1.000000e-01 1.000000e-01 2.430140e-02 1.249969e-02 1.249969e-02
+2.650000e+00 3.500000e-01 3.500000e-01 6.364180e-03 3.442268e-03 3.442268e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d07-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d07-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t7
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d07-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d07-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t7
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.050000e+00 5.000000e-02 5.000000e-02 6.033810e-01 3.549390e-03 3.549390e-03
+1.150000e+00 5.000000e-02 5.000000e-02 7.517770e-01 3.938970e-03 3.938970e-03
+1.250000e+00 5.000000e-02 5.000000e-02 6.152390e-01 3.291920e-03 3.291920e-03
+1.350000e+00 5.000000e-02 5.000000e-02 4.669850e-01 2.887650e-03 2.887650e-03
+1.450000e+00 5.000000e-02 5.000000e-02 3.403160e-01 2.063360e-03 2.063360e-03
+1.600000e+00 1.000000e-01 1.000000e-01 2.112610e-01 1.323050e-03 1.323050e-03
+1.800000e+00 1.000000e-01 1.000000e-01 1.095100e-01 1.076010e-03 1.076010e-03
+2.000000e+00 1.000000e-01 1.000000e-01 5.728730e-02 5.389560e-04 5.389560e-04
+2.200000e+00 1.000000e-01 1.000000e-01 3.073540e-02 4.153000e-04 4.153000e-04
+2.650000e+00 3.500000e-01 3.500000e-01 9.777730e-03 3.160050e-04 3.160050e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d08-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d08-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t8
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e+01 5.000000e+01 5.000000e+01 1.512460e-03 3.804321e-04 3.804321e-04
+1.250000e+02 2.500000e+01 2.500000e+01 1.165420e-03 2.559723e-04 2.559723e-04
+1.750000e+02 2.500000e+01 2.500000e+01 6.128850e-04 1.629645e-04 1.629645e-04
+2.500000e+02 5.000000e+01 5.000000e+01 3.162490e-04 8.483862e-05 8.483862e-05
+4.000000e+02 1.000000e+02 1.000000e+02 8.643650e-05 2.812522e-05 2.812522e-05
+6.500000e+02 1.500000e+02 1.500000e+02 5.601570e-06 3.634656e-06 3.634656e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d08-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d08-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t8
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d08-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d08-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t8
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e+01 5.000000e+01 5.000000e+01 2.154240e-03 5.530870e-06 5.530870e-06
+1.250000e+02 2.500000e+01 2.500000e+01 1.390280e-03 8.314890e-06 8.314890e-06
+1.750000e+02 2.500000e+01 2.500000e+01 8.297570e-04 6.475900e-06 6.475900e-06
+2.500000e+02 5.000000e+01 5.000000e+01 3.649610e-04 3.523500e-06 3.523500e-06
+4.000000e+02 1.000000e+02 1.000000e+02 8.912570e-05 1.169800e-06 1.169800e-06
+6.500000e+02 1.500000e+02 1.500000e+02 9.137920e-06 3.681100e-07 3.681100e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d09-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d09-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t9
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 3.056860e-01 7.913849e-02 7.913849e-02
+4.500000e-01 1.500000e-01 1.500000e-01 2.625740e-01 6.316363e-02 6.316363e-02
+7.500000e-01 1.500000e-01 1.500000e-01 2.055320e-01 4.620997e-02 4.620997e-02
+1.050000e+00 1.500000e-01 1.500000e-01 1.266130e-01 3.799871e-02 3.799871e-02
+1.350000e+00 1.500000e-01 1.500000e-01 5.759510e-02 1.665846e-02 1.665846e-02
+1.750000e+00 2.500000e-01 2.500000e-01 1.178050e-02 3.356393e-03 3.356393e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d09-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d09-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t9
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d09-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d09-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t9
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 4.053000e-01 1.662000e-03 1.662000e-03
+4.500000e-01 1.500000e-01 1.500000e-01 3.573960e-01 1.560040e-03 1.560040e-03
+7.500000e-01 1.500000e-01 1.500000e-01 2.664680e-01 1.462240e-03 1.462240e-03
+1.050000e+00 1.500000e-01 1.500000e-01 1.625290e-01 1.013580e-03 1.013580e-03
+1.350000e+00 1.500000e-01 1.500000e-01 7.077430e-02 5.976060e-04 5.976060e-04
+1.750000e+00 2.500000e-01 2.500000e-01 1.017990e-02 1.643510e-04 1.643510e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d10-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d10-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t10
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 2.500000e-01 2.500000e-01 1.512460e-01 3.881061e-02 3.881061e-02
+1.750000e+00 2.500000e-01 2.500000e-01 1.147800e-01 2.719953e-02 2.719953e-02
+2.500000e+00 5.000000e-01 5.000000e-01 6.103980e-02 1.669955e-02 1.669955e-02
+3.500000e+00 5.000000e-01 5.000000e-01 3.515130e-02 8.597741e-03 8.597741e-03
+4.500000e+00 5.000000e-01 5.000000e-01 2.189750e-02 5.401641e-03 5.401641e-03
+6.000000e+00 1.000000e+00 1.000000e+00 1.183270e-02 3.126125e-03 3.126125e-03
+8.500000e+00 1.500000e+00 1.500000e+00 3.050030e-03 8.513081e-04 8.513081e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d10-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d10-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t10
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d10-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d10-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t10
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 2.500000e-01 2.500000e-01 2.228850e-01 9.656960e-04 9.656960e-04
+1.750000e+00 2.500000e-01 2.500000e-01 1.457090e-01 7.570210e-04 7.570210e-04
+2.500000e+00 5.000000e-01 5.000000e-01 8.588470e-02 3.817810e-04 3.817810e-04
+3.500000e+00 5.000000e-01 5.000000e-01 4.510920e-02 2.952760e-04 2.952760e-04
+4.500000e+00 5.000000e-01 5.000000e-01 2.520410e-02 2.381420e-04 2.381420e-04
+6.000000e+00 1.000000e+00 1.000000e+00 1.191850e-02 1.081560e-04 1.081560e-04
+8.500000e+00 1.500000e+00 1.500000e+00 4.013580e-03 4.427060e-05 4.427060e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d11-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d11-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t11
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 3.056120e-01 8.085496e-02 8.085496e-02
+4.500000e-01 1.500000e-01 1.500000e-01 2.687880e-01 6.259719e-02 6.259719e-02
+7.000000e-01 1.000000e-01 1.000000e-01 2.148480e-01 4.753153e-02 4.753153e-02
+9.000000e-01 1.000000e-01 1.000000e-01 1.577040e-01 4.253074e-02 4.253074e-02
+1.100000e+00 1.000000e-01 1.000000e-01 1.241100e-01 3.844466e-02 3.844466e-02
+1.300000e+00 1.000000e-01 1.000000e-01 5.616610e-02 1.596788e-02 1.596788e-02
+1.700000e+00 3.000000e-01 3.000000e-01 1.685710e-02 5.097789e-03 5.097789e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d11-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d11-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t11
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d11-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d11-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t11
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 4.051590e-01 1.673740e-03 1.673740e-03
+4.500000e-01 1.500000e-01 1.500000e-01 3.578730e-01 1.616040e-03 1.616040e-03
+7.000000e-01 1.000000e-01 1.000000e-01 2.827410e-01 1.639360e-03 1.639360e-03
+9.000000e-01 1.000000e-01 1.000000e-01 2.153430e-01 1.595650e-03 1.595650e-03
+1.100000e+00 1.000000e-01 1.000000e-01 1.451750e-01 1.207880e-03 1.207880e-03
+1.300000e+00 1.000000e-01 1.000000e-01 8.300070e-02 7.654980e-04 7.654980e-04
+1.700000e+00 3.000000e-01 3.000000e-01 1.611430e-02 1.908950e-04 1.908950e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d12-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d12-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t12
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e+01 1.000000e+01 1.000000e+01 4.753530e-03 1.055233e-03 1.055233e-03
+3.000000e+01 1.000000e+01 1.000000e+01 3.087250e-03 7.976745e-04 7.976745e-04
+5.000000e+01 1.000000e+01 1.000000e+01 1.746160e-03 4.540436e-04 4.540436e-04
+8.000000e+01 2.000000e+01 2.000000e+01 1.070440e-03 3.107064e-04 3.107064e-04
+1.500000e+02 5.000000e+01 5.000000e+01 3.638160e-04 9.361189e-05 9.361189e-05
+2.500000e+02 5.000000e+01 5.000000e+01 1.344820e-04 3.976167e-05 3.976167e-05
+4.500000e+02 1.500000e+02 1.500000e+02 2.254370e-05 8.811905e-06 8.811905e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d12-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d12-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t12
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d12-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d12-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t12
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e+01 1.000000e+01 1.000000e+01 6.394430e-03 2.429090e-05 2.429090e-05
+3.000000e+01 1.000000e+01 1.000000e+01 4.025630e-03 1.721610e-05 1.721610e-05
+5.000000e+01 1.000000e+01 1.000000e+01 2.451220e-03 1.502830e-05 1.502830e-05
+8.000000e+01 2.000000e+01 2.000000e+01 1.347480e-03 9.251050e-06 9.251050e-06
+1.500000e+02 5.000000e+01 5.000000e+01 5.064210e-04 3.863230e-06 3.863230e-06
+2.500000e+02 5.000000e+01 5.000000e+01 1.495770e-04 1.991330e-06 1.991330e-06
+4.500000e+02 1.500000e+02 1.500000e+02 2.270340e-05 4.786410e-07 4.786410e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d13-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d13-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t13
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 1.250000e+00 1.250000e+00 2.844380e-03 8.931534e-04 8.931534e-04
+2.625000e+00 1.250000e-01 1.250000e-01 6.633950e-02 2.007118e-02 2.007118e-02
+2.875000e+00 1.250000e-01 1.250000e-01 2.505740e-01 6.796859e-02 6.796859e-02
+3.070000e+00 7.000000e-02 7.000000e-02 1.430120e+00 3.457598e-01 3.457598e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d13-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d13-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t13
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d13-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d13-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t13
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 1.250000e+00 1.250000e+00 3.089690e-03 8.725020e-05 8.725020e-05
+2.625000e+00 1.250000e-01 1.250000e-01 7.362420e-02 9.350220e-04 9.350220e-04
+2.875000e+00 1.250000e-01 1.250000e-01 3.168980e-01 1.868230e-03 1.868230e-03
+3.070000e+00 7.000000e-02 7.000000e-02 1.943700e+00 4.870140e-03 4.870140e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d14-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d14-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t14
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.050000e+03 5.000000e+01 5.000000e+01 8.573040e-04 2.302196e-04 2.302196e-04
+1.150000e+03 5.000000e+01 5.000000e+01 4.602770e-04 1.243201e-04 1.243201e-04
+1.250000e+03 5.000000e+01 5.000000e+01 2.952890e-04 7.757015e-05 7.757015e-05
+1.350000e+03 5.000000e+01 5.000000e+01 1.543060e-04 5.959988e-05 5.959988e-05
+1.500000e+03 1.000000e+02 1.000000e+02 8.434320e-05 3.249680e-05 3.249680e-05
+1.700000e+03 1.000000e+02 1.000000e+02 5.814120e-05 2.398132e-05 2.398132e-05
+2.000000e+03 2.000000e+02 2.000000e+02 5.541530e-06 5.013933e-06 5.013933e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d14-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d14-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t14
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d14-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d14-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t14
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.050000e+03 5.000000e+01 5.000000e+01 1.139570e-03 5.178900e-06 5.178900e-06
+1.150000e+03 5.000000e+01 5.000000e+01 6.780230e-04 3.164200e-06 3.164200e-06
+1.250000e+03 5.000000e+01 5.000000e+01 4.059960e-04 2.432310e-06 2.432310e-06
+1.350000e+03 5.000000e+01 5.000000e+01 2.427940e-04 1.523820e-06 1.523820e-06
+1.500000e+03 1.000000e+02 1.000000e+02 1.247490e-04 9.856900e-07 9.856900e-07
+1.700000e+03 1.000000e+02 1.000000e+02 4.979900e-05 3.823400e-07 3.823400e-07
+2.000000e+03 2.000000e+02 2.000000e+02 1.642470e-05 3.974070e-07 3.974070e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d15-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d15-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t15
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 3.982810e-01 1.027731e-01 1.027731e-01
+3.000000e-01 1.000000e-01 1.000000e-01 4.017240e-01 1.015927e-01 1.015927e-01
+5.000000e-01 1.000000e-01 1.000000e-01 3.667680e-01 8.933087e-02 8.933087e-02
+6.500000e-01 5.000000e-02 5.000000e-02 3.249840e-01 8.007081e-02 8.007081e-02
+7.500000e-01 5.000000e-02 5.000000e-02 1.718570e-01 4.659045e-02 4.659045e-02
+9.000000e-01 1.000000e-01 1.000000e-01 3.876170e-02 1.143549e-02 1.143549e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d15-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d15-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t15
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d15-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d15-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t15
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 5.748770e-01 2.496200e-03 2.496200e-03
+3.000000e-01 1.000000e-01 1.000000e-01 5.490110e-01 2.207360e-03 2.207360e-03
+5.000000e-01 1.000000e-01 1.000000e-01 4.742870e-01 2.089180e-03 2.089180e-03
+6.500000e-01 5.000000e-02 5.000000e-02 3.425100e-01 2.844930e-03 2.844930e-03
+7.500000e-01 5.000000e-02 5.000000e-02 2.082920e-01 1.703000e-03 1.703000e-03
+9.000000e-01 1.000000e-01 1.000000e-01 4.557370e-02 1.252640e-03 1.252640e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d16-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d16-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t16
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.250000e+02 2.500000e+01 2.500000e+01 7.780590e-03 4.668354e-04 4.668354e-04
+5.750000e+02 2.500000e+01 2.500000e+01 4.452340e-03 3.103444e-04 3.103444e-04
+6.250000e+02 2.500000e+01 2.500000e+01 2.497350e-03 2.401537e-04 2.401537e-04
+6.750000e+02 2.500000e+01 2.500000e+01 2.126370e-03 2.432288e-04 2.432288e-04
+7.250000e+02 2.500000e+01 2.500000e+01 1.094790e-03 1.868400e-04 1.868400e-04
+7.750000e+02 2.500000e+01 2.500000e+01 6.908170e-04 1.498218e-04 1.498218e-04
+9.000000e+02 1.000000e+02 1.000000e+02 2.851720e-04 7.309713e-05 7.309713e-05
+1.100000e+03 1.000000e+02 1.000000e+02 5.426310e-05 4.476746e-05 4.476746e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d16-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d16-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t16
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d16-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d16-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t16
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.250000e+02 2.500000e+01 2.500000e+01 7.290260e-03 3.056160e-05 3.056160e-05
+5.750000e+02 2.500000e+01 2.500000e+01 4.711820e-03 2.261190e-05 2.261190e-05
+6.250000e+02 2.500000e+01 2.500000e+01 2.907360e-03 1.421110e-05 1.421110e-05
+6.750000e+02 2.500000e+01 2.500000e+01 1.849650e-03 1.574420e-05 1.574420e-05
+7.250000e+02 2.500000e+01 2.500000e+01 1.162140e-03 1.119630e-05 1.119630e-05
+7.750000e+02 2.500000e+01 2.500000e+01 7.288060e-04 5.428240e-06 5.428240e-06
+9.000000e+02 1.000000e+02 1.000000e+02 2.787720e-04 1.735370e-06 1.735370e-06
+1.100000e+03 1.000000e+02 1.000000e+02 5.872000e-05 1.984600e-06 1.984600e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d17-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d17-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t17
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 8.123190e-01 4.239846e-02 4.239846e-02
+4.500000e-01 1.500000e-01 1.500000e-01 7.138680e-01 4.381174e-02 4.381174e-02
+7.500000e-01 1.500000e-01 1.500000e-01 6.067330e-01 4.410374e-02 4.410374e-02
+1.050000e+00 1.500000e-01 1.500000e-01 5.158480e-01 3.513807e-02 3.513807e-02
+1.350000e+00 1.500000e-01 1.500000e-01 3.727940e-01 3.041109e-02 3.041109e-02
+1.750000e+00 2.500000e-01 2.500000e-01 1.870630e-01 1.936604e-02 1.936604e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d17-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d17-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t17
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d17-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d17-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t17
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 8.469030e-01 3.594350e-03 3.594350e-03
+4.500000e-01 1.500000e-01 1.500000e-01 7.814120e-01 3.634700e-03 3.634700e-03
+7.500000e-01 1.500000e-01 1.500000e-01 6.503600e-01 3.249080e-03 3.249080e-03
+1.050000e+00 1.500000e-01 1.500000e-01 4.956730e-01 3.057780e-03 3.057780e-03
+1.350000e+00 1.500000e-01 1.500000e-01 3.268660e-01 2.604790e-03 2.604790e-03
+1.750000e+00 2.500000e-01 2.500000e-01 1.392710e-01 1.572260e-03 1.572260e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d18-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d18-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t18
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.750000e+02 2.500000e+01 2.500000e+01 1.667300e-03 2.151680e-04 2.151680e-04
+4.250000e+02 2.500000e+01 2.500000e+01 3.213570e-03 2.739371e-04 2.739371e-04
+4.750000e+02 2.500000e+01 2.500000e+01 4.701120e-03 3.134227e-04 3.134227e-04
+5.250000e+02 2.500000e+01 2.500000e+01 4.200610e-03 2.848537e-04 2.848537e-04
+5.750000e+02 2.500000e+01 2.500000e+01 2.210620e-03 2.306300e-04 2.306300e-04
+7.000000e+02 1.000000e+02 1.000000e+02 8.583290e-04 8.915907e-05 8.915907e-05
+1.000000e+03 2.000000e+02 2.000000e+02 7.168430e-05 2.753732e-05 2.753732e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d18-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d18-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t18
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d18-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d18-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t18
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.750000e+02 2.500000e+01 2.500000e+01 1.455000e-03 1.745010e-05 1.745010e-05
+4.250000e+02 2.500000e+01 2.500000e+01 2.648620e-03 2.143740e-05 2.143740e-05
+4.750000e+02 2.500000e+01 2.500000e+01 4.612350e-03 2.308120e-05 2.308120e-05
+5.250000e+02 2.500000e+01 2.500000e+01 4.502020e-03 1.986830e-05 1.986830e-05
+5.750000e+02 2.500000e+01 2.500000e+01 2.629860e-03 1.334440e-05 1.334440e-05
+7.000000e+02 1.000000e+02 1.000000e+02 8.676730e-04 3.632070e-06 3.632070e-06
+1.000000e+03 2.000000e+02 2.000000e+02 8.518220e-05 1.089480e-06 1.089480e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d19-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d19-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t19
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 8.489640e-01 4.127618e-02 4.127618e-02
+4.500000e-01 1.500000e-01 1.500000e-01 8.197620e-01 4.135908e-02 4.135908e-02
+7.500000e-01 1.500000e-01 1.500000e-01 5.923680e-01 4.497696e-02 4.497696e-02
+1.050000e+00 1.500000e-01 1.500000e-01 4.778300e-01 3.493882e-02 3.493882e-02
+1.350000e+00 1.500000e-01 1.500000e-01 3.530340e-01 3.600895e-02 3.600895e-02
+1.750000e+00 2.500000e-01 2.500000e-01 1.448250e-01 1.519689e-02 1.519689e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d19-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d19-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t19
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d19-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d19-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t19
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 8.360260e-01 3.812980e-03 3.812980e-03
+4.500000e-01 1.500000e-01 1.500000e-01 7.654900e-01 3.628330e-03 3.628330e-03
+7.500000e-01 1.500000e-01 1.500000e-01 6.549000e-01 4.194290e-03 4.194290e-03
+1.050000e+00 1.500000e-01 1.500000e-01 4.944160e-01 2.665640e-03 2.665640e-03
+1.350000e+00 1.500000e-01 1.500000e-01 3.348700e-01 1.997280e-03 1.997280e-03
+1.750000e+00 2.500000e-01 2.500000e-01 1.485780e-01 1.089630e-03 1.089630e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d20-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d20-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t20
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.050000e+00 5.000000e-02 5.000000e-02 1.741390e+00 1.290059e-01 1.290059e-01
+1.150000e+00 5.000000e-02 5.000000e-02 1.954030e+00 1.654862e-01 1.654862e-01
+1.250000e+00 5.000000e-02 5.000000e-02 1.530880e+00 1.181024e-01 1.181024e-01
+1.350000e+00 5.000000e-02 5.000000e-02 1.311790e+00 1.390681e-01 1.390681e-01
+1.450000e+00 5.000000e-02 5.000000e-02 1.006620e+00 1.057365e-01 1.057365e-01
+1.600000e+00 1.000000e-01 1.000000e-01 5.349850e-01 6.796047e-02 6.796047e-02
+1.800000e+00 1.000000e-01 1.000000e-01 3.740220e-01 5.909894e-02 5.909894e-02
+2.000000e+00 1.000000e-01 1.000000e-01 1.511350e-01 4.075660e-02 4.075660e-02
+2.200000e+00 1.000000e-01 1.000000e-01 8.739610e-02 4.000604e-02 4.000604e-02
+2.650000e+00 3.500000e-01 3.500000e-01 2.288780e-02 1.045131e-02 1.045131e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d20-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d20-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t20
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d20-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d20-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t20
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.050000e+00 5.000000e-02 5.000000e-02 1.646900e+00 9.687920e-03 9.687920e-03
+1.150000e+00 5.000000e-02 5.000000e-02 2.051940e+00 1.075130e-02 1.075130e-02
+1.250000e+00 5.000000e-02 5.000000e-02 1.679270e+00 8.985150e-03 8.985150e-03
+1.350000e+00 5.000000e-02 5.000000e-02 1.274620e+00 7.881720e-03 7.881720e-03
+1.450000e+00 5.000000e-02 5.000000e-02 9.288780e-01 5.631850e-03 5.631850e-03
+1.600000e+00 1.000000e-01 1.000000e-01 5.766290e-01 3.611200e-03 3.611200e-03
+1.800000e+00 1.000000e-01 1.000000e-01 2.989030e-01 2.936920e-03 2.936920e-03
+2.000000e+00 1.000000e-01 1.000000e-01 1.563630e-01 1.471060e-03 1.471060e-03
+2.200000e+00 1.000000e-01 1.000000e-01 8.389090e-02 1.133540e-03 1.133540e-03
+2.650000e+00 3.500000e-01 3.500000e-01 2.668790e-02 8.625220e-04 8.625220e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d21-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d21-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t21
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e+01 5.000000e+01 5.000000e+01 5.201850e-03 1.987910e-04 1.987910e-04
+1.250000e+02 2.500000e+01 2.500000e+01 4.008280e-03 3.272645e-04 3.272645e-04
+1.750000e+02 2.500000e+01 2.500000e+01 2.107920e-03 2.262153e-04 2.262153e-04
+2.500000e+02 5.000000e+01 5.000000e+01 1.087680e-03 1.427461e-04 1.427461e-04
+4.000000e+02 1.000000e+02 1.000000e+02 2.972840e-04 4.473694e-05 4.473694e-05
+6.500000e+02 1.500000e+02 1.500000e+02 1.926570e-05 1.073458e-05 1.073458e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d21-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d21-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t21
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d21-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d21-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t21
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e+01 5.000000e+01 5.000000e+01 5.617480e-03 1.442250e-05 1.442250e-05
+1.250000e+02 2.500000e+01 2.500000e+01 3.625360e-03 2.168220e-05 2.168220e-05
+1.750000e+02 2.500000e+01 2.500000e+01 2.163700e-03 1.688680e-05 1.688680e-05
+2.500000e+02 5.000000e+01 5.000000e+01 9.516850e-04 9.188000e-06 9.188000e-06
+4.000000e+02 1.000000e+02 1.000000e+02 2.324070e-04 3.050420e-06 3.050420e-06
+6.500000e+02 1.500000e+02 1.500000e+02 2.382840e-05 9.598980e-07 9.598980e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d22-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d22-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t22
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 1.042260e+00 5.194231e-02 5.194231e-02
+4.500000e-01 1.500000e-01 1.500000e-01 8.952690e-01 4.901833e-02 4.901833e-02
+7.500000e-01 1.500000e-01 1.500000e-01 7.007800e-01 5.404710e-02 5.404710e-02
+1.050000e+00 1.500000e-01 1.500000e-01 4.316990e-01 4.382359e-02 4.382359e-02
+1.350000e+00 1.500000e-01 1.500000e-01 1.963760e-01 2.508333e-02 2.508333e-02
+1.750000e+00 2.500000e-01 2.500000e-01 4.016680e-02 9.742002e-03 9.742002e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d22-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d22-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t22
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d22-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d22-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t22
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 1.055940e+00 4.330050e-03 4.330050e-03
+4.500000e-01 1.500000e-01 1.500000e-01 9.311300e-01 4.064390e-03 4.064390e-03
+7.500000e-01 1.500000e-01 1.500000e-01 6.942330e-01 3.809610e-03 3.809610e-03
+1.050000e+00 1.500000e-01 1.500000e-01 4.234400e-01 2.640710e-03 2.640710e-03
+1.350000e+00 1.500000e-01 1.500000e-01 1.843900e-01 1.556960e-03 1.556960e-03
+1.750000e+00 2.500000e-01 2.500000e-01 2.652180e-02 4.281860e-04 4.281860e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d23-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d23-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t23
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 2.500000e-01 2.500000e-01 5.327110e-01 2.394915e-02 2.394915e-02
+1.750000e+00 2.500000e-01 2.500000e-01 4.042740e-01 2.541708e-02 2.541708e-02
+2.500000e+00 5.000000e-01 5.000000e-01 2.149920e-01 1.390680e-02 1.390680e-02
+3.500000e+00 5.000000e-01 5.000000e-01 1.238080e-01 1.117621e-02 1.117621e-02
+4.500000e+00 5.000000e-01 5.000000e-01 7.712630e-02 9.589879e-03 9.589879e-03
+6.000000e+00 1.000000e+00 1.000000e+00 4.167650e-02 4.098775e-03 4.098775e-03
+8.500000e+00 1.500000e+00 1.500000e+00 1.074270e-02 1.820616e-03 1.820616e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d23-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d23-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t23
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d23-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d23-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t23
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 2.500000e-01 2.500000e-01 5.921920e-01 2.565800e-03 2.565800e-03
+1.750000e+00 2.500000e-01 2.500000e-01 3.871390e-01 2.011360e-03 2.011360e-03
+2.500000e+00 5.000000e-01 5.000000e-01 2.281910e-01 1.014370e-03 1.014370e-03
+3.500000e+00 5.000000e-01 5.000000e-01 1.198520e-01 7.845320e-04 7.845320e-04
+4.500000e+00 5.000000e-01 5.000000e-01 6.696590e-02 6.327300e-04 6.327300e-04
+6.000000e+00 1.000000e+00 1.000000e+00 3.166680e-02 2.873650e-04 2.873650e-04
+8.500000e+00 1.500000e+00 1.500000e+00 1.066390e-02 1.176240e-04 1.176240e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d24-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d24-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t24
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 1.043050e+00 5.435852e-02 5.435852e-02
+4.500000e-01 1.500000e-01 1.500000e-01 9.173660e-01 5.483708e-02 5.483708e-02
+7.000000e-01 1.000000e-01 1.000000e-01 7.332710e-01 6.858551e-02 6.858551e-02
+9.000000e-01 1.000000e-01 1.000000e-01 5.382380e-01 4.615613e-02 4.615613e-02
+1.100000e+00 1.000000e-01 1.000000e-01 4.235830e-01 5.010842e-02 5.010842e-02
+1.300000e+00 1.000000e-01 1.000000e-01 1.916930e-01 2.837202e-02 2.837202e-02
+1.700000e+00 3.000000e-01 3.000000e-01 5.753270e-02 9.706539e-03 9.706539e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d24-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d24-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t24
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d24-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d24-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t24
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 1.055570e+00 4.360620e-03 4.360620e-03
+4.500000e-01 1.500000e-01 1.500000e-01 9.323740e-01 4.210290e-03 4.210290e-03
+7.000000e-01 1.000000e-01 1.000000e-01 7.366310e-01 4.271050e-03 4.271050e-03
+9.000000e-01 1.000000e-01 1.000000e-01 5.610370e-01 4.157190e-03 4.157190e-03
+1.100000e+00 1.000000e-01 1.000000e-01 3.782270e-01 3.146910e-03 3.146910e-03
+1.300000e+00 1.000000e-01 1.000000e-01 2.162430e-01 1.994370e-03 1.994370e-03
+1.700000e+00 3.000000e-01 3.000000e-01 4.198300e-02 4.973440e-04 4.973440e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d25-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d25-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t25
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e+01 1.000000e+01 1.000000e+01 1.632680e-02 1.001313e-03 1.001313e-03
+3.000000e+01 1.000000e+01 1.000000e+01 1.060370e-02 6.524768e-04 6.524768e-04
+5.000000e+01 1.000000e+01 1.000000e+01 5.997480e-03 5.419649e-04 5.419649e-04
+8.000000e+01 2.000000e+01 2.000000e+01 3.676610e-03 3.606708e-04 3.606708e-04
+1.500000e+02 5.000000e+01 5.000000e+01 1.249590e-03 1.085879e-04 1.146023e-04
+2.500000e+02 5.000000e+01 5.000000e+01 4.618990e-04 1.040875e-04 1.040875e-04
+4.500000e+02 1.500000e+02 1.500000e+02 7.742990e-05 1.889305e-05 1.889305e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d25-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d25-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t25
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d25-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d25-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t25
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e+01 1.000000e+01 1.000000e+01 1.666360e-02 6.330110e-05 6.330110e-05
+3.000000e+01 1.000000e+01 1.000000e+01 1.049060e-02 4.486440e-05 4.486440e-05
+5.000000e+01 1.000000e+01 1.000000e+01 6.387800e-03 3.916310e-05 3.916310e-05
+8.000000e+01 2.000000e+01 2.000000e+01 3.511470e-03 2.410790e-05 2.410790e-05
+1.500000e+02 5.000000e+01 5.000000e+01 1.319710e-03 1.006740e-05 1.006740e-05
+2.500000e+02 5.000000e+01 5.000000e+01 3.897930e-04 5.189340e-06 5.189340e-06
+4.500000e+02 1.500000e+02 1.500000e+02 5.916410e-05 1.247320e-06 1.247320e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d26-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d26-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t26
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 1.250000e+00 1.250000e+00 9.926080e-03 1.707740e-03 1.707740e-03
+2.625000e+00 1.250000e-01 1.250000e-01 2.315070e-01 5.373369e-02 5.373369e-02
+2.875000e+00 1.250000e-01 1.250000e-01 8.744340e-01 6.091186e-02 6.091186e-02
+3.070000e+00 7.000000e-02 7.000000e-02 4.990710e+00 1.063033e-01 1.063033e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d26-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d26-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t26
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d26-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d26-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t26
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 1.250000e+00 1.250000e+00 8.185210e-03 2.311430e-04 2.311430e-04
+2.625000e+00 1.250000e-01 1.250000e-01 1.950450e-01 2.477060e-03 2.477060e-03
+2.875000e+00 1.250000e-01 1.250000e-01 8.395260e-01 4.949310e-03 4.949310e-03
+3.070000e+00 7.000000e-02 7.000000e-02 5.149240e+00 1.290200e-02 1.290200e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d27-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d27-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t27
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.050000e+03 5.000000e+01 5.000000e+01 4.132960e-03 2.688252e-04 2.688252e-04
+1.150000e+03 5.000000e+01 5.000000e+01 2.218940e-03 1.880437e-04 1.880437e-04
+1.250000e+03 5.000000e+01 5.000000e+01 1.423550e-03 1.981675e-04 1.981675e-04
+1.350000e+03 5.000000e+01 5.000000e+01 7.438890e-04 1.491108e-04 1.491108e-04
+1.500000e+03 1.000000e+02 1.000000e+02 4.066080e-04 7.538828e-05 7.538828e-05
+1.700000e+03 1.000000e+02 1.000000e+02 2.802920e-04 6.926899e-05 6.926899e-05
+2.000000e+03 2.000000e+02 2.000000e+02 2.671500e-05 2.230679e-05 2.230679e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d27-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d27-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t27
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d27-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d27-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t27
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.050000e+03 5.000000e+01 5.000000e+01 3.955230e-03 1.797500e-05 1.797500e-05
+1.150000e+03 5.000000e+01 5.000000e+01 2.353280e-03 1.098230e-05 1.098230e-05
+1.250000e+03 5.000000e+01 5.000000e+01 1.409130e-03 8.442070e-06 8.442070e-06
+1.350000e+03 5.000000e+01 5.000000e+01 8.426880e-04 5.288890e-06 5.288890e-06
+1.500000e+03 1.000000e+02 1.000000e+02 4.329780e-04 3.421140e-06 3.421140e-06
+1.700000e+03 1.000000e+02 1.000000e+02 1.728420e-04 1.327030e-06 1.327030e-06
+2.000000e+03 2.000000e+02 2.000000e+02 5.700690e-05 1.379320e-06 1.379320e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d28-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d28-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t28
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.369650e+00 6.382569e-02 6.382569e-02
+3.000000e-01 1.000000e-01 1.000000e-01 1.381490e+00 6.990995e-02 6.990995e-02
+5.000000e-01 1.000000e-01 1.000000e-01 1.261280e+00 5.847254e-02 6.829689e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.117590e+00 1.003512e-01 1.003512e-01
+7.500000e-01 5.000000e-02 5.000000e-02 5.909990e-01 7.153483e-02 7.153483e-02
+9.000000e-01 1.000000e-01 1.000000e-01 1.332980e-01 2.655713e-02 2.655713e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d28-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d28-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t28
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d28-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d28-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t28
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.497740e+00 6.503400e-03 6.503400e-03
+3.000000e-01 1.000000e-01 1.000000e-01 1.430350e+00 5.750890e-03 5.750890e-03
+5.000000e-01 1.000000e-01 1.000000e-01 1.235670e+00 5.442980e-03 5.442980e-03
+6.500000e-01 5.000000e-02 5.000000e-02 8.923490e-01 7.411950e-03 7.411950e-03
+7.500000e-01 5.000000e-02 5.000000e-02 5.426690e-01 4.436870e-03 4.436870e-03
+9.000000e-01 1.000000e-01 1.000000e-01 1.187340e-01 3.263520e-03 3.263520e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d83-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d83-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t83
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.750000e+02 2.500000e+01 2.500000e+01 1.705020e-03 4.958312e-04 5.131358e-04
+5.250000e+02 2.500000e+01 2.500000e+01 4.872140e-03 1.350510e-03 1.298584e-03
+5.750000e+02 2.500000e+01 2.500000e+01 2.510460e-03 8.850218e-04 8.569907e-04
+6.250000e+02 2.500000e+01 2.500000e+01 1.382990e-03 5.486955e-04 5.314386e-04
+7.000000e+02 5.000000e+01 5.000000e+01 8.688450e-04 3.550769e-04 3.280119e-04
+8.250000e+02 7.500000e+01 7.500000e+01 2.676450e-04 1.212349e-04 1.137684e-04
+1.050000e+03 1.500000e+02 1.500000e+02 4.784400e-05 3.350106e-05 2.694830e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d83-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d83-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t83
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d83-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d83-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t83
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.750000e+02 2.500000e+01 2.500000e+01 2.322050e-03 1.278350e-05 1.278350e-05
+5.250000e+02 2.500000e+01 2.500000e+01 6.235590e-03 1.903150e-05 1.903150e-05
+5.750000e+02 2.500000e+01 2.500000e+01 3.657510e-03 1.341410e-05 1.341410e-05
+6.250000e+02 2.500000e+01 2.500000e+01 2.192640e-03 1.140070e-05 1.140070e-05
+7.000000e+02 5.000000e+01 5.000000e+01 1.099590e-03 6.334010e-06 6.334010e-06
+8.250000e+02 7.500000e+01 7.500000e+01 3.702460e-04 2.938850e-06 2.938850e-06
+1.050000e+03 1.500000e+02 1.500000e+02 7.198820e-05 9.281420e-07 9.281420e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d84-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d84-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t84
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 6.540590e-01 2.156022e-01 2.031146e-01
+3.000000e-01 1.000000e-01 1.000000e-01 6.539880e-01 2.128415e-01 1.886141e-01
+5.000000e-01 1.000000e-01 1.000000e-01 5.780770e-01 1.936775e-01 1.890194e-01
+7.000000e-01 1.000000e-01 1.000000e-01 4.561270e-01 1.551458e-01 1.577270e-01
+9.000000e-01 1.000000e-01 1.000000e-01 4.461000e-01 1.397819e-01 1.376042e-01
+1.100000e+00 1.000000e-01 1.000000e-01 4.147280e-01 1.344043e-01 1.311228e-01
+1.350000e+00 1.500000e-01 1.500000e-01 2.551850e-01 9.365949e-02 9.229013e-02
+1.750000e+00 2.500000e-01 2.500000e-01 1.395620e-01 4.815836e-02 4.637798e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d84-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d84-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t84
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d84-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d84-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t84
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 8.778140e-01 4.096420e-03 4.096420e-03
+3.000000e-01 1.000000e-01 1.000000e-01 8.508910e-01 4.652860e-03 4.652860e-03
+5.000000e-01 1.000000e-01 1.000000e-01 7.840340e-01 3.879540e-03 3.879540e-03
+7.000000e-01 1.000000e-01 1.000000e-01 6.921970e-01 3.093550e-03 3.093550e-03
+9.000000e-01 1.000000e-01 1.000000e-01 5.949590e-01 3.426870e-03 3.426870e-03
+1.100000e+00 1.000000e-01 1.000000e-01 4.755150e-01 2.571740e-03 2.571740e-03
+1.350000e+00 1.500000e-01 1.500000e-01 3.381230e-01 1.885350e-03 1.885350e-03
+1.750000e+00 2.500000e-01 2.500000e-01 1.525880e-01 7.563560e-04 7.563560e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d85-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d85-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t85
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.250000e+02 2.500000e+01 2.500000e+01 6.391710e-03 1.872280e-03 1.688306e-03
+5.750000e+02 2.500000e+01 2.500000e+01 3.523230e-03 1.191053e-03 1.159813e-03
+6.250000e+02 2.500000e+01 2.500000e+01 1.874440e-03 6.779917e-04 6.669906e-04
+6.750000e+02 2.500000e+01 2.500000e+01 1.505790e-03 5.707534e-04 5.445200e-04
+7.250000e+02 2.500000e+01 2.500000e+01 8.752320e-04 3.887010e-04 3.524739e-04
+7.750000e+02 2.500000e+01 2.500000e+01 5.298970e-04 2.298744e-04 2.206155e-04
+9.000000e+02 1.000000e+02 1.000000e+02 2.275440e-04 1.294026e-04 1.103618e-04
+1.100000e+03 1.000000e+02 1.000000e+02 4.502270e-05 5.029614e-05 3.591054e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d85-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d85-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t85
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d85-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d85-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t85
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.250000e+02 2.500000e+01 2.500000e+01 7.916560e-03 2.312710e-05 2.312710e-05
+5.750000e+02 2.500000e+01 2.500000e+01 4.802660e-03 1.679840e-05 1.679840e-05
+6.250000e+02 2.500000e+01 2.500000e+01 2.944920e-03 1.471200e-05 1.471200e-05
+6.750000e+02 2.500000e+01 2.500000e+01 1.837550e-03 1.214800e-05 1.214800e-05
+7.250000e+02 2.500000e+01 2.500000e+01 1.162510e-03 9.843270e-06 9.843270e-06
+7.750000e+02 2.500000e+01 2.500000e+01 7.503350e-04 8.808440e-06 8.808440e-06
+9.000000e+02 1.000000e+02 1.000000e+02 2.969020e-04 2.829540e-06 2.829540e-06
+1.100000e+03 1.000000e+02 1.000000e+02 6.216180e-05 8.931190e-07 8.931190e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d86-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d86-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t86
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 6.464060e-01 2.167833e-01 2.069172e-01
+3.000000e-01 1.000000e-01 1.000000e-01 5.885610e-01 1.831357e-01 1.644222e-01
+5.000000e-01 1.000000e-01 1.000000e-01 5.689870e-01 1.915953e-01 1.854920e-01
+7.000000e-01 1.000000e-01 1.000000e-01 4.898760e-01 1.746430e-01 1.747683e-01
+9.000000e-01 1.000000e-01 1.000000e-01 4.401430e-01 1.414183e-01 1.370164e-01
+1.100000e+00 1.000000e-01 1.000000e-01 3.872880e-01 1.309982e-01 1.266470e-01
+1.350000e+00 1.500000e-01 1.500000e-01 2.874090e-01 9.629250e-02 9.337626e-02
+1.750000e+00 2.500000e-01 2.500000e-01 1.472820e-01 4.895858e-02 4.897046e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d86-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d86-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t86
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d86-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d86-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t86
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 8.917250e-01 4.275160e-03 4.275160e-03
+3.000000e-01 1.000000e-01 1.000000e-01 8.597170e-01 4.429880e-03 4.429880e-03
+5.000000e-01 1.000000e-01 1.000000e-01 7.966000e-01 3.944390e-03 3.944390e-03
+7.000000e-01 1.000000e-01 1.000000e-01 7.002750e-01 3.409680e-03 3.409680e-03
+9.000000e-01 1.000000e-01 1.000000e-01 5.919870e-01 3.099910e-03 3.099910e-03
+1.100000e+00 1.000000e-01 1.000000e-01 4.767220e-01 2.598430e-03 2.598430e-03
+1.350000e+00 1.500000e-01 1.500000e-01 3.324180e-01 1.970040e-03 1.970040e-03
+1.750000e+00 2.500000e-01 2.500000e-01 1.440020e-01 7.131550e-04 7.131550e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d87-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d87-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t87
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.750000e+02 2.500000e+01 2.500000e+01 2.144640e-03 7.416479e-04 6.940535e-04
+4.250000e+02 2.500000e+01 2.500000e+01 2.766310e-03 8.435497e-04 8.051469e-04
+4.750000e+02 2.500000e+01 2.500000e+01 3.719400e-03 1.071713e-03 1.051371e-03
+5.250000e+02 2.500000e+01 2.500000e+01 3.209380e-03 9.863058e-04 9.528229e-04
+5.750000e+02 2.500000e+01 2.500000e+01 1.583410e-03 5.607580e-04 5.454290e-04
+7.000000e+02 1.000000e+02 1.000000e+02 5.619350e-04 2.334130e-04 2.180134e-04
+1.000000e+03 2.000000e+02 2.000000e+02 4.600490e-05 2.700596e-05 2.608870e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d87-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d87-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t87
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d87-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d87-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t87
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.750000e+02 2.500000e+01 2.500000e+01 2.430330e-03 1.985300e-05 1.985300e-05
+4.250000e+02 2.500000e+01 2.500000e+01 3.024900e-03 1.839460e-05 1.839460e-05
+4.750000e+02 2.500000e+01 2.500000e+01 4.634550e-03 1.808040e-05 1.808040e-05
+5.250000e+02 2.500000e+01 2.500000e+01 4.573780e-03 1.562760e-05 1.562760e-05
+5.750000e+02 2.500000e+01 2.500000e+01 2.517480e-03 9.220770e-06 9.220770e-06
+7.000000e+02 1.000000e+02 1.000000e+02 7.878900e-04 2.544900e-06 2.544900e-06
+1.000000e+03 2.000000e+02 2.000000e+02 7.176750e-05 3.303690e-07 3.303690e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d88-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d88-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t88
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 6.595860e-01 2.080361e-01 1.994052e-01
+3.000000e-01 1.000000e-01 1.000000e-01 6.799260e-01 2.294154e-01 2.169377e-01
+5.000000e-01 1.000000e-01 1.000000e-01 6.093150e-01 1.963007e-01 1.969501e-01
+7.000000e-01 1.000000e-01 1.000000e-01 4.764630e-01 1.546254e-01 1.502798e-01
+9.000000e-01 1.000000e-01 1.000000e-01 3.965370e-01 1.338115e-01 1.302376e-01
+1.100000e+00 1.000000e-01 1.000000e-01 3.688550e-01 1.273825e-01 1.156030e-01
+1.350000e+00 1.500000e-01 1.500000e-01 2.782640e-01 9.499166e-02 9.146026e-02
+1.750000e+00 2.500000e-01 2.500000e-01 1.189360e-01 4.411868e-02 4.207724e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d88-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d88-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t88
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d88-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d88-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t88
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 8.670550e-01 4.307760e-03 4.307760e-03
+3.000000e-01 1.000000e-01 1.000000e-01 8.307710e-01 4.179650e-03 4.179650e-03
+5.000000e-01 1.000000e-01 1.000000e-01 7.676350e-01 3.760540e-03 3.760540e-03
+7.000000e-01 1.000000e-01 1.000000e-01 6.863060e-01 3.227390e-03 3.227390e-03
+9.000000e-01 1.000000e-01 1.000000e-01 5.972940e-01 3.577210e-03 3.577210e-03
+1.100000e+00 1.000000e-01 1.000000e-01 4.801480e-01 2.626530e-03 2.626530e-03
+1.350000e+00 1.500000e-01 1.500000e-01 3.461170e-01 1.875640e-03 1.875640e-03
+1.750000e+00 2.500000e-01 2.500000e-01 1.620970e-01 8.632630e-04 8.632630e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d89-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d89-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t89
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.050000e+03 5.000000e+01 5.000000e+01 1.287540e-03 3.863948e-04 3.643315e-04
+1.150000e+03 5.000000e+01 5.000000e+01 1.481350e-03 4.950000e-04 4.783840e-04
+1.250000e+03 5.000000e+01 5.000000e+01 1.112530e-03 3.894250e-04 3.807005e-04
+1.350000e+03 5.000000e+01 5.000000e+01 8.979750e-04 2.868022e-04 2.767249e-04
+1.450000e+03 5.000000e+01 5.000000e+01 7.226030e-04 2.461016e-04 2.437884e-04
+1.600000e+03 1.000000e+02 1.000000e+02 3.924330e-04 1.378106e-04 1.304880e-04
+1.800000e+03 1.000000e+02 1.000000e+02 2.525180e-04 1.111020e-04 1.071244e-04
+2.000000e+03 1.000000e+02 1.000000e+02 1.133530e-04 5.971645e-05 5.463551e-05
+2.200000e+03 1.000000e+02 1.000000e+02 6.169150e-05 3.310605e-05 3.377780e-05
+2.650000e+03 3.500000e+02 3.500000e+02 1.599760e-05 9.565256e-06 8.546606e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d89-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d89-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t89
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d89-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d89-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t89
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.050000e+03 5.000000e+01 5.000000e+01 1.575750e-03 4.949710e-06 4.949710e-06
+1.150000e+03 5.000000e+01 5.000000e+01 1.989970e-03 4.937660e-06 4.937660e-06
+1.250000e+03 5.000000e+01 5.000000e+01 1.617830e-03 4.252320e-06 4.252320e-06
+1.350000e+03 5.000000e+01 5.000000e+01 1.209260e-03 3.673920e-06 3.673920e-06
+1.450000e+03 5.000000e+01 5.000000e+01 8.818610e-04 2.882410e-06 2.882410e-06
+1.600000e+03 1.000000e+02 1.000000e+02 5.455600e-04 1.623670e-06 1.623670e-06
+1.800000e+03 1.000000e+02 1.000000e+02 2.782960e-04 1.047660e-06 1.047660e-06
+2.000000e+03 1.000000e+02 1.000000e+02 1.447950e-04 7.328290e-07 7.328290e-07
+2.200000e+03 1.000000e+02 1.000000e+02 7.914040e-05 5.310580e-07 5.310580e-07
+2.650000e+03 3.500000e+02 3.500000e+02 2.448840e-05 1.553900e-07 1.553900e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d90-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d90-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t90
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e+01 2.500000e+01 2.500000e+01 3.777660e-03 1.198825e-03 1.131917e-03
+7.500000e+01 2.500000e+01 2.500000e+01 3.660230e-03 1.151295e-03 1.106216e-03
+1.250000e+02 2.500000e+01 2.500000e+01 2.714520e-03 8.196056e-04 8.190951e-04
+1.750000e+02 2.500000e+01 2.500000e+01 1.693100e-03 5.691903e-04 5.783074e-04
+2.500000e+02 5.000000e+01 5.000000e+01 9.055160e-04 3.123223e-04 2.929540e-04
+3.500000e+02 5.000000e+01 5.000000e+01 3.829060e-04 1.694881e-04 1.591259e-04
+4.500000e+02 5.000000e+01 5.000000e+01 2.415310e-04 1.674113e-04 1.093058e-04
+6.500000e+02 1.500000e+02 1.500000e+02 5.401030e-05 3.170742e-05 3.253511e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d90-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d90-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t90
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d90-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d90-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t90
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e+01 2.500000e+01 2.500000e+01 5.795630e-03 1.059380e-05 1.059380e-05
+7.500000e+01 2.500000e+01 2.500000e+01 4.826060e-03 9.963730e-06 9.963730e-06
+1.250000e+02 2.500000e+01 2.500000e+01 3.311630e-03 8.653200e-06 8.653200e-06
+1.750000e+02 2.500000e+01 2.500000e+01 2.212050e-03 7.564340e-06 7.564340e-06
+2.500000e+02 5.000000e+01 5.000000e+01 1.049530e-03 3.523090e-06 3.523090e-06
+3.500000e+02 5.000000e+01 5.000000e+01 4.171330e-04 2.229880e-06 2.229880e-06
+4.500000e+02 5.000000e+01 5.000000e+01 2.042230e-04 1.627820e-06 1.627820e-06
+6.500000e+02 1.500000e+02 1.500000e+02 8.924620e-05 8.928230e-07 8.928230e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d91-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d91-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t91
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 8.286430e-01 2.990572e-01 2.823244e-01
+3.000000e-01 1.000000e-01 1.000000e-01 7.828720e-01 2.362528e-01 2.316962e-01
+5.000000e-01 1.000000e-01 1.000000e-01 6.358800e-01 2.128905e-01 2.062010e-01
+7.000000e-01 1.000000e-01 1.000000e-01 5.772640e-01 1.798904e-01 1.651026e-01
+9.000000e-01 1.000000e-01 1.000000e-01 4.573400e-01 1.436909e-01 1.422948e-01
+1.100000e+00 1.000000e-01 1.000000e-01 3.129220e-01 1.286977e-01 1.254588e-01
+1.350000e+00 1.500000e-01 1.500000e-01 1.823000e-01 6.146048e-02 6.532755e-02
+1.750000e+00 2.500000e-01 2.500000e-01 5.881310e-02 1.999300e-02 1.837076e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d91-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d91-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t91
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d91-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d91-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t91
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.091110e+00 4.531050e-03 4.531050e-03
+3.000000e-01 1.000000e-01 1.000000e-01 1.025540e+00 4.463110e-03 4.463110e-03
+5.000000e-01 1.000000e-01 1.000000e-01 9.117190e-01 4.114980e-03 4.114980e-03
+7.000000e-01 1.000000e-01 1.000000e-01 7.530510e-01 3.633990e-03 3.633990e-03
+9.000000e-01 1.000000e-01 1.000000e-01 5.806720e-01 3.082410e-03 3.082410e-03
+1.100000e+00 1.000000e-01 1.000000e-01 4.076110e-01 2.331620e-03 2.331620e-03
+1.350000e+00 1.500000e-01 1.500000e-01 2.244860e-01 1.695300e-03 1.695300e-03
+1.750000e+00 2.500000e-01 2.500000e-01 5.020130e-02 5.208640e-04 5.208640e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d92-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d92-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t92
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 2.500000e-01 2.500000e-01 4.106780e-01 1.312133e-01 1.270579e-01
+1.750000e+00 2.500000e-01 2.500000e-01 3.102020e-01 9.760239e-02 9.029353e-02
+2.500000e+00 5.000000e-01 5.000000e-01 1.628910e-01 5.551143e-02 5.651039e-02
+3.500000e+00 5.000000e-01 5.000000e-01 9.427060e-02 3.225557e-02 2.833346e-02
+4.500000e+00 5.000000e-01 5.000000e-01 5.897220e-02 1.920562e-02 1.954915e-02
+6.000000e+00 1.000000e+00 1.000000e+00 3.365490e-02 1.199602e-02 1.172405e-02
+8.500000e+00 1.500000e+00 1.500000e+00 9.015490e-03 3.268727e-03 2.935156e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d92-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d92-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t92
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d92-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d92-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t92
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 2.500000e-01 2.500000e-01 6.067880e-01 2.743100e-03 2.743100e-03
+1.750000e+00 2.500000e-01 2.500000e-01 3.910900e-01 1.670960e-03 1.670960e-03
+2.500000e+00 5.000000e-01 5.000000e-01 2.304870e-01 7.850630e-04 7.850630e-04
+3.500000e+00 5.000000e-01 5.000000e-01 1.215920e-01 4.954960e-04 4.954960e-04
+4.500000e+00 5.000000e-01 5.000000e-01 6.897840e-02 3.297660e-04 3.297660e-04
+6.000000e+00 1.000000e+00 1.000000e+00 3.370800e-02 1.680310e-04 1.680310e-04
+8.500000e+00 1.500000e+00 1.500000e+00 1.196100e-02 7.311120e-05 7.311120e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d93-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d93-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t93
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 7.958640e-01 2.847399e-01 2.736873e-01
+3.000000e-01 1.000000e-01 1.000000e-01 8.038400e-01 2.504419e-01 2.395814e-01
+5.000000e-01 1.000000e-01 1.000000e-01 6.730460e-01 2.166550e-01 2.061394e-01
+7.000000e-01 1.000000e-01 1.000000e-01 5.701550e-01 1.750955e-01 1.672770e-01
+9.000000e-01 1.000000e-01 1.000000e-01 4.264110e-01 1.435583e-01 1.405559e-01
+1.150000e+00 1.500000e-01 1.500000e-01 2.953580e-01 1.089592e-01 1.061094e-01
+1.650000e+00 3.500000e-01 3.500000e-01 8.501860e-02 2.808383e-02 2.840951e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d93-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d93-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t93
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d93-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d93-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t93
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.085950e+00 4.443840e-03 4.443840e-03
+3.000000e-01 1.000000e-01 1.000000e-01 1.025640e+00 4.518310e-03 4.518310e-03
+5.000000e-01 1.000000e-01 1.000000e-01 9.153150e-01 4.254150e-03 4.254150e-03
+7.000000e-01 1.000000e-01 1.000000e-01 7.504520e-01 3.504520e-03 3.504520e-03
+9.000000e-01 1.000000e-01 1.000000e-01 5.814520e-01 3.031350e-03 3.031350e-03
+1.150000e+00 1.500000e-01 1.500000e-01 3.868390e-01 1.990810e-03 1.990810e-03
+1.650000e+00 3.500000e-01 3.500000e-01 8.363150e-02 6.413420e-04 6.413420e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d94-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d94-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t94
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e+01 1.000000e+01 1.000000e+01 1.165050e-02 3.411958e-03 3.209510e-03
+3.000000e+01 1.000000e+01 1.000000e+01 7.383480e-03 2.489324e-03 2.302215e-03
+5.000000e+01 1.000000e+01 1.000000e+01 4.706830e-03 1.504607e-03 1.460242e-03
+8.000000e+01 2.000000e+01 2.000000e+01 3.021900e-03 1.047332e-03 1.113660e-03
+1.500000e+02 5.000000e+01 5.000000e+01 1.095800e-03 3.682056e-04 3.419410e-04
+2.500000e+02 5.000000e+01 5.000000e+01 4.698710e-04 1.616028e-04 1.522069e-04
+4.500000e+02 1.500000e+02 1.500000e+02 1.597840e-04 7.255575e-05 7.051862e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d94-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d94-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t94
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d94-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d94-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t94
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e+01 1.000000e+01 1.000000e+01 1.563250e-02 3.783620e-05 3.783620e-05
+3.000000e+01 1.000000e+01 1.000000e+01 9.778970e-03 3.871130e-05 3.871130e-05
+5.000000e+01 1.000000e+01 1.000000e+01 6.508340e-03 3.412680e-05 3.412680e-05
+8.000000e+01 2.000000e+01 2.000000e+01 3.845640e-03 1.935240e-05 1.935240e-05
+1.500000e+02 5.000000e+01 5.000000e+01 1.529450e-03 1.017680e-05 1.017680e-05
+2.500000e+02 5.000000e+01 5.000000e+01 5.268790e-04 5.394340e-06 5.394340e-06
+4.500000e+02 1.500000e+02 1.500000e+02 1.603230e-04 1.429320e-06 1.429320e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d95-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d95-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t95
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 1.250000e+00 1.250000e+00 3.258360e-02 2.267728e-02 2.292588e-02
+2.625000e+00 1.250000e-01 1.250000e-01 1.906590e-01 7.079613e-02 6.238741e-02
+2.875000e+00 1.250000e-01 1.250000e-01 7.121660e-01 2.424177e-01 2.456146e-01
+3.075000e+00 7.500000e-02 7.500000e-02 3.321780e+00 1.055256e+00 1.000865e+00
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d95-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d95-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t95
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d95-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d95-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t95
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 1.250000e+00 1.250000e+00 3.534480e-02 6.596220e-04 6.596220e-04
+2.625000e+00 1.250000e-01 1.250000e-01 2.117180e-01 1.040070e-03 1.040070e-03
+2.875000e+00 1.250000e-01 1.250000e-01 8.985150e-01 2.073750e-03 2.073750e-03
+3.075000e+00 7.500000e-02 7.500000e-02 4.540180e+00 5.549510e-03 5.549510e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d96-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d96-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t96
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.025000e+03 2.500000e+01 2.500000e+01 2.801270e-03 9.089133e-04 9.150436e-04
+1.075000e+03 2.500000e+01 2.500000e+01 2.041210e-03 6.921163e-04 6.840490e-04
+1.125000e+03 2.500000e+01 2.500000e+01 1.443400e-03 4.725988e-04 4.735044e-04
+1.175000e+03 2.500000e+01 2.500000e+01 1.026580e-03 3.475460e-04 3.528151e-04
+1.225000e+03 2.500000e+01 2.500000e+01 7.883250e-04 2.752861e-04 2.576694e-04
+1.275000e+03 2.500000e+01 2.500000e+01 6.550210e-04 2.439221e-04 2.206958e-04
+1.350000e+03 5.000000e+01 5.000000e+01 4.157200e-04 1.752020e-04 1.675801e-04
+1.500000e+03 1.000000e+02 1.000000e+02 1.971350e-04 9.413898e-05 8.648613e-05
+1.700000e+03 1.000000e+02 1.000000e+02 1.428290e-04 7.528709e-05 6.623698e-05
+2.150000e+03 3.500000e+02 3.500000e+02 8.186630e-06 5.816156e-06 5.873982e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d96-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d96-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t96
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d96-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d96-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t96
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.025000e+03 2.500000e+01 2.500000e+01 3.623850e-03 1.488000e-05 1.488000e-05
+1.075000e+03 2.500000e+01 2.500000e+01 2.719240e-03 1.378480e-05 1.378480e-05
+1.125000e+03 2.500000e+01 2.500000e+01 2.043550e-03 1.267750e-05 1.267750e-05
+1.175000e+03 2.500000e+01 2.500000e+01 1.537800e-03 9.040200e-06 9.040200e-06
+1.225000e+03 2.500000e+01 2.500000e+01 1.172160e-03 7.741880e-06 7.741880e-06
+1.275000e+03 2.500000e+01 2.500000e+01 8.980820e-04 7.418820e-06 7.418820e-06
+1.350000e+03 5.000000e+01 5.000000e+01 6.107490e-04 4.012600e-06 4.012600e-06
+1.500000e+03 1.000000e+02 1.000000e+02 3.063200e-04 2.255110e-06 2.255110e-06
+1.700000e+03 1.000000e+02 1.000000e+02 1.218510e-04 1.392460e-06 1.392460e-06
+2.150000e+03 3.500000e+02 3.500000e+02 2.470260e-05 1.622650e-07 1.622650e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d97-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d97-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t97
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.091860e+00 3.553189e-01 3.433635e-01
+3.000000e-01 1.000000e-01 1.000000e-01 1.081740e+00 3.485060e-01 3.356668e-01
+5.000000e-01 1.000000e-01 1.000000e-01 9.683580e-01 3.213074e-01 3.052090e-01
+6.500000e-01 5.000000e-02 5.000000e-02 8.891620e-01 2.941136e-01 2.888066e-01
+7.500000e-01 5.000000e-02 5.000000e-02 5.049660e-01 1.732162e-01 1.694926e-01
+9.000000e-01 1.000000e-01 1.000000e-01 1.192370e-01 5.455245e-02 5.076831e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d97-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d97-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t97
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d97-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d97-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t97
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.576690e+00 7.033820e-03 7.033820e-03
+3.000000e-01 1.000000e-01 1.000000e-01 1.479340e+00 4.991110e-03 4.991110e-03
+5.000000e-01 1.000000e-01 1.000000e-01 1.264760e+00 3.570400e-03 3.570400e-03
+6.500000e-01 5.000000e-02 5.000000e-02 9.349900e-01 3.803810e-03 3.803810e-03
+7.500000e-01 5.000000e-02 5.000000e-02 6.111590e-01 2.778030e-03 2.778030e-03
+9.000000e-01 1.000000e-01 1.000000e-01 1.408640e-01 1.018540e-03 1.018540e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d98-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d98-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t98
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.750000e+02 2.500000e+01 2.500000e+01 2.564260e-03 3.141646e-04 3.190750e-04
+5.250000e+02 2.500000e+01 2.500000e+01 7.327460e-03 4.511202e-04 4.530987e-04
+5.750000e+02 2.500000e+01 2.500000e+01 3.775610e-03 2.983410e-04 3.043415e-04
+6.250000e+02 2.500000e+01 2.500000e+01 2.079950e-03 2.517358e-04 2.601170e-04
+7.000000e+02 5.000000e+01 5.000000e+01 1.306700e-03 1.335784e-04 1.465060e-04
+8.250000e+02 7.500000e+01 7.500000e+01 4.025260e-04 7.073328e-05 7.497944e-05
+1.050000e+03 1.500000e+02 1.500000e+02 7.195510e-05 2.977760e-05 2.883844e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d98-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d98-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t98
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d98-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d98-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t98
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.750000e+02 2.500000e+01 2.500000e+01 2.558780e-03 1.408680e-05 1.408680e-05
+5.250000e+02 2.500000e+01 2.500000e+01 6.871310e-03 2.097180e-05 2.097180e-05
+5.750000e+02 2.500000e+01 2.500000e+01 4.030390e-03 1.478170e-05 1.478170e-05
+6.250000e+02 2.500000e+01 2.500000e+01 2.416180e-03 1.256300e-05 1.256300e-05
+7.000000e+02 5.000000e+01 5.000000e+01 1.211690e-03 6.979760e-06 6.979760e-06
+8.250000e+02 7.500000e+01 7.500000e+01 4.079930e-04 3.238470e-06 3.238470e-06
+1.050000e+03 1.500000e+02 1.500000e+02 7.932750e-05 1.022770e-06 1.022770e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d99-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d99-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t99
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 8.311290e-01 4.891718e-02 4.868690e-02
+3.000000e-01 1.000000e-01 1.000000e-01 8.310390e-01 6.732875e-02 6.510777e-02
+5.000000e-01 1.000000e-01 1.000000e-01 7.345770e-01 5.766992e-02 5.773763e-02
+7.000000e-01 1.000000e-01 1.000000e-01 5.796130e-01 4.519951e-02 4.640516e-02
+9.000000e-01 1.000000e-01 1.000000e-01 5.668710e-01 4.589794e-02 4.668292e-02
+1.100000e+00 1.000000e-01 1.000000e-01 5.270050e-01 4.865271e-02 4.916041e-02
+1.350000e+00 1.500000e-01 1.500000e-01 3.242700e-01 3.436041e-02 3.458000e-02
+1.750000e+00 2.500000e-01 2.500000e-01 1.773450e-01 1.689454e-02 1.612470e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d99-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d99-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t99
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d99-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d99-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t99
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 8.499260e-01 3.966280e-03 3.966280e-03
+3.000000e-01 1.000000e-01 1.000000e-01 8.238570e-01 4.505040e-03 4.505040e-03
+5.000000e-01 1.000000e-01 1.000000e-01 7.591240e-01 3.756280e-03 3.756280e-03
+7.000000e-01 1.000000e-01 1.000000e-01 6.702050e-01 2.995260e-03 2.995260e-03
+9.000000e-01 1.000000e-01 1.000000e-01 5.760570e-01 3.318000e-03 3.318000e-03
+1.100000e+00 1.000000e-01 1.000000e-01 4.604080e-01 2.490030e-03 2.490030e-03
+1.350000e+00 1.500000e-01 1.500000e-01 3.273810e-01 1.825450e-03 1.825450e-03
+1.750000e+00 2.500000e-01 2.500000e-01 1.477400e-01 7.323260e-04 7.323260e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d100-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d100-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t100
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.250000e+02 2.500000e+01 2.500000e+01 8.095600e-03 6.522512e-04 5.782717e-04
+5.750000e+02 2.500000e+01 2.500000e+01 4.462450e-03 2.875585e-04 3.277320e-04
+6.250000e+02 2.500000e+01 2.500000e+01 2.374130e-03 2.010584e-04 2.157396e-04
+6.750000e+02 2.500000e+01 2.500000e+01 1.907200e-03 1.841033e-04 2.010084e-04
+7.250000e+02 2.500000e+01 2.500000e+01 1.108550e-03 1.846318e-04 1.816247e-04
+7.750000e+02 2.500000e+01 2.500000e+01 6.711560e-04 1.310762e-04 1.448224e-04
+9.000000e+02 1.000000e+02 1.000000e+02 2.882030e-04 8.565200e-05 7.358446e-05
+1.100000e+03 1.000000e+02 1.000000e+02 5.702490e-05 5.139487e-05 4.265182e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d100-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d100-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t100
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d100-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d100-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t100
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.250000e+02 2.500000e+01 2.500000e+01 7.593540e-03 2.218350e-05 2.218350e-05
+5.750000e+02 2.500000e+01 2.500000e+01 4.606690e-03 1.611300e-05 1.611300e-05
+6.250000e+02 2.500000e+01 2.500000e+01 2.824760e-03 1.411170e-05 1.411170e-05
+6.750000e+02 2.500000e+01 2.500000e+01 1.762570e-03 1.165230e-05 1.165230e-05
+7.250000e+02 2.500000e+01 2.500000e+01 1.115070e-03 9.441630e-06 9.441630e-06
+7.750000e+02 2.500000e+01 2.500000e+01 7.197180e-04 8.449020e-06 8.449020e-06
+9.000000e+02 1.000000e+02 1.000000e+02 2.847870e-04 2.714080e-06 2.714080e-06
+1.100000e+03 1.000000e+02 1.000000e+02 5.962530e-05 8.566760e-07 8.566760e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d101-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d101-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t101
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 8.243750e-01 4.673613e-02 4.720270e-02
+3.000000e-01 1.000000e-01 1.000000e-01 7.506050e-01 6.202735e-02 6.239953e-02
+5.000000e-01 1.000000e-01 1.000000e-01 7.256420e-01 5.148781e-02 5.087408e-02
+7.000000e-01 1.000000e-01 1.000000e-01 6.247490e-01 5.635877e-02 5.749588e-02
+9.000000e-01 1.000000e-01 1.000000e-01 5.613240e-01 4.248685e-02 4.250014e-02
+1.100000e+00 1.000000e-01 1.000000e-01 4.939170e-01 4.444295e-02 4.461278e-02
+1.350000e+00 1.500000e-01 1.500000e-01 3.665390e-01 2.771418e-02 2.750934e-02
+1.750000e+00 2.500000e-01 2.500000e-01 1.878320e-01 1.909651e-02 1.866199e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d101-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d101-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t101
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d101-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d101-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t101
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 8.614600e-01 4.130070e-03 4.130070e-03
+3.000000e-01 1.000000e-01 1.000000e-01 8.305390e-01 4.279530e-03 4.279530e-03
+5.000000e-01 1.000000e-01 1.000000e-01 7.695640e-01 3.810520e-03 3.810520e-03
+7.000000e-01 1.000000e-01 1.000000e-01 6.765080e-01 3.293960e-03 3.293960e-03
+9.000000e-01 1.000000e-01 1.000000e-01 5.718960e-01 2.994700e-03 2.994700e-03
+1.100000e+00 1.000000e-01 1.000000e-01 4.605430e-01 2.510240e-03 2.510240e-03
+1.350000e+00 1.500000e-01 1.500000e-01 3.211360e-01 1.903180e-03 1.903180e-03
+1.750000e+00 2.500000e-01 2.500000e-01 1.391150e-01 6.889510e-04 6.889510e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d102-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d102-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t102
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.750000e+02 2.500000e+01 2.500000e+01 2.674300e-03 3.447772e-04 3.590464e-04
+4.250000e+02 2.500000e+01 2.500000e+01 3.449500e-03 2.334472e-04 2.246101e-04
+4.750000e+02 2.500000e+01 2.500000e+01 4.637970e-03 2.947878e-04 3.031154e-04
+5.250000e+02 2.500000e+01 2.500000e+01 4.001990e-03 2.608859e-04 2.506290e-04
+5.750000e+02 2.500000e+01 2.500000e+01 1.974460e-03 1.700546e-04 1.757005e-04
+7.000000e+02 1.000000e+02 1.000000e+02 7.007140e-04 8.141708e-05 8.139859e-05
+1.000000e+03 2.000000e+02 2.000000e+02 5.736650e-05 2.017633e-05 2.062747e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d102-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d102-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t102
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d102-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d102-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t102
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.750000e+02 2.500000e+01 2.500000e+01 2.324930e-03 1.899200e-05 1.899200e-05
+4.250000e+02 2.500000e+01 2.500000e+01 2.893710e-03 1.759680e-05 1.759680e-05
+4.750000e+02 2.500000e+01 2.500000e+01 4.433540e-03 1.729630e-05 1.729630e-05
+5.250000e+02 2.500000e+01 2.500000e+01 4.375410e-03 1.494980e-05 1.494980e-05
+5.750000e+02 2.500000e+01 2.500000e+01 2.408290e-03 8.820860e-06 8.820860e-06
+7.000000e+02 1.000000e+02 1.000000e+02 7.537190e-04 2.434520e-06 2.434520e-06
+1.000000e+03 2.000000e+02 2.000000e+02 6.865490e-05 3.160410e-07 3.160410e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d103-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d103-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t103
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 8.444500e-01 5.780967e-02 5.767018e-02
+3.000000e-01 1.000000e-01 1.000000e-01 8.704910e-01 5.443078e-02 5.406943e-02
+5.000000e-01 1.000000e-01 1.000000e-01 7.800890e-01 5.966688e-02 6.416498e-02
+7.000000e-01 1.000000e-01 1.000000e-01 6.100020e-01 4.943386e-02 4.968041e-02
+9.000000e-01 1.000000e-01 1.000000e-01 5.076760e-01 4.293030e-02 4.224855e-02
+1.100000e+00 1.000000e-01 1.000000e-01 4.722350e-01 4.575953e-02 4.438198e-02
+1.350000e+00 1.500000e-01 1.500000e-01 3.562530e-01 3.334094e-02 3.309864e-02
+1.750000e+00 2.500000e-01 2.500000e-01 1.522710e-01 1.638140e-02 1.610988e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d103-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d103-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t103
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d103-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d103-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t103
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 8.412090e-01 4.179350e-03 4.179350e-03
+3.000000e-01 1.000000e-01 1.000000e-01 8.060070e-01 4.055060e-03 4.055060e-03
+5.000000e-01 1.000000e-01 1.000000e-01 7.447520e-01 3.648440e-03 3.648440e-03
+7.000000e-01 1.000000e-01 1.000000e-01 6.658480e-01 3.131190e-03 3.131190e-03
+9.000000e-01 1.000000e-01 1.000000e-01 5.794890e-01 3.470580e-03 3.470580e-03
+1.100000e+00 1.000000e-01 1.000000e-01 4.658350e-01 2.548240e-03 2.548240e-03
+1.350000e+00 1.500000e-01 1.500000e-01 3.357990e-01 1.819730e-03 1.819730e-03
+1.750000e+00 2.500000e-01 2.500000e-01 1.572650e-01 8.375300e-04 8.375300e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d104-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d104-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t104
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.050000e+03 5.000000e+01 5.000000e+01 1.774950e-03 1.604915e-04 1.626424e-04
+1.150000e+03 5.000000e+01 5.000000e+01 2.042120e-03 1.247852e-04 1.221139e-04
+1.250000e+03 5.000000e+01 5.000000e+01 1.533680e-03 1.008183e-04 9.726881e-05
+1.350000e+03 5.000000e+01 5.000000e+01 1.237910e-03 1.048078e-04 1.074894e-04
+1.450000e+03 5.000000e+01 5.000000e+01 9.961480e-04 8.376405e-05 8.568963e-05
+1.600000e+03 1.000000e+02 1.000000e+02 5.409900e-04 5.504903e-05 5.399986e-05
+1.800000e+03 1.000000e+02 1.000000e+02 3.481100e-04 5.447931e-05 5.384988e-05
+2.000000e+03 1.000000e+02 1.000000e+02 1.562630e-04 4.261821e-05 4.010219e-05
+2.200000e+03 1.000000e+02 1.000000e+02 8.504510e-05 3.246672e-05 3.511233e-05
+2.650000e+03 3.500000e+02 3.500000e+02 2.205350e-05 8.728446e-06 8.383094e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d104-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d104-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t104
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d104-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d104-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t104
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.050000e+03 5.000000e+01 5.000000e+01 1.651440e-03 5.187470e-06 5.187470e-06
+1.150000e+03 5.000000e+01 5.000000e+01 2.085560e-03 5.174830e-06 5.174830e-06
+1.250000e+03 5.000000e+01 5.000000e+01 1.695540e-03 4.456580e-06 4.456580e-06
+1.350000e+03 5.000000e+01 5.000000e+01 1.267350e-03 3.850400e-06 3.850400e-06
+1.450000e+03 5.000000e+01 5.000000e+01 9.242200e-04 3.020870e-06 3.020870e-06
+1.600000e+03 1.000000e+02 1.000000e+02 5.717660e-04 1.701670e-06 1.701670e-06
+1.800000e+03 1.000000e+02 1.000000e+02 2.916640e-04 1.097980e-06 1.097980e-06
+2.000000e+03 1.000000e+02 1.000000e+02 1.517500e-04 7.680290e-07 7.680290e-07
+2.200000e+03 1.000000e+02 1.000000e+02 8.294180e-05 5.565660e-07 5.565660e-07
+2.650000e+03 3.500000e+02 3.500000e+02 2.566460e-05 1.628540e-07 1.628540e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d105-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d105-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t105
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e+01 2.500000e+01 2.500000e+01 4.960990e-03 4.263789e-04 4.159070e-04
+7.500000e+01 2.500000e+01 2.500000e+01 4.806770e-03 1.998956e-04 1.935237e-04
+1.250000e+02 2.500000e+01 2.500000e+01 3.564820e-03 2.460648e-04 2.545556e-04
+1.750000e+02 2.500000e+01 2.500000e+01 2.223450e-03 2.144890e-04 2.289022e-04
+2.500000e+02 5.000000e+01 5.000000e+01 1.189160e-03 1.287522e-04 1.234688e-04
+3.500000e+02 5.000000e+01 5.000000e+01 5.028480e-04 1.054062e-04 1.046199e-04
+4.500000e+02 5.000000e+01 5.000000e+01 3.171890e-04 1.285817e-04 9.868808e-05
+6.500000e+02 1.500000e+02 1.500000e+02 7.092860e-05 3.077620e-05 3.114578e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d105-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d105-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t105
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d105-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d105-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t105
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e+01 2.500000e+01 2.500000e+01 5.789090e-03 1.058190e-05 1.058190e-05
+7.500000e+01 2.500000e+01 2.500000e+01 4.820610e-03 9.952490e-06 9.952490e-06
+1.250000e+02 2.500000e+01 2.500000e+01 3.307890e-03 8.643430e-06 8.643430e-06
+1.750000e+02 2.500000e+01 2.500000e+01 2.209550e-03 7.555800e-06 7.555800e-06
+2.500000e+02 5.000000e+01 5.000000e+01 1.048340e-03 3.519120e-06 3.519120e-06
+3.500000e+02 5.000000e+01 5.000000e+01 4.166620e-04 2.227370e-06 2.227370e-06
+4.500000e+02 5.000000e+01 5.000000e+01 2.039920e-04 1.625980e-06 1.625980e-06
+6.500000e+02 1.500000e+02 1.500000e+02 8.914550e-05 8.918150e-07 8.918150e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d106-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d106-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t106
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.031830e+00 7.468657e-02 7.439666e-02
+3.000000e-01 1.000000e-01 1.000000e-01 9.748350e-01 6.477511e-02 6.537735e-02
+5.000000e-01 1.000000e-01 1.000000e-01 7.918020e-01 5.132260e-02 5.164250e-02
+7.000000e-01 1.000000e-01 1.000000e-01 7.188110e-01 6.017701e-02 5.929000e-02
+9.000000e-01 1.000000e-01 1.000000e-01 5.694820e-01 5.122265e-02 5.162713e-02
+1.100000e+00 1.000000e-01 1.000000e-01 3.896520e-01 5.950102e-02 5.963866e-02
+1.350000e+00 1.500000e-01 1.500000e-01 2.270010e-01 2.670866e-02 2.716504e-02
+1.750000e+00 2.500000e-01 2.500000e-01 7.323430e-02 2.094076e-02 2.072906e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d106-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d106-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t106
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d106-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d106-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t106
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.042740e+00 4.330190e-03 4.330190e-03
+3.000000e-01 1.000000e-01 1.000000e-01 9.800750e-01 4.265260e-03 4.265260e-03
+5.000000e-01 1.000000e-01 1.000000e-01 8.713020e-01 3.932560e-03 3.932560e-03
+7.000000e-01 1.000000e-01 1.000000e-01 7.196680e-01 3.472890e-03 3.472890e-03
+9.000000e-01 1.000000e-01 1.000000e-01 5.549300e-01 2.945760e-03 2.945760e-03
+1.100000e+00 1.000000e-01 1.000000e-01 3.895420e-01 2.228250e-03 2.228250e-03
+1.350000e+00 1.500000e-01 1.500000e-01 2.145350e-01 1.620150e-03 1.620150e-03
+1.750000e+00 2.500000e-01 2.500000e-01 4.797590e-02 4.977740e-04 4.977740e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d107-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d107-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t107
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 2.500000e-01 2.500000e-01 5.327040e-01 2.542984e-02 2.563711e-02
+1.750000e+00 2.500000e-01 2.500000e-01 4.023730e-01 2.743649e-02 2.711618e-02
+2.500000e+00 5.000000e-01 5.000000e-01 2.112920e-01 1.364622e-02 1.407046e-02
+3.500000e+00 5.000000e-01 5.000000e-01 1.222820e-01 1.065786e-02 1.001158e-02
+4.500000e+00 5.000000e-01 5.000000e-01 7.649490e-02 7.888258e-03 7.997419e-03
+6.000000e+00 1.000000e+00 1.000000e+00 4.365490e-02 5.219172e-03 5.267305e-03
+8.500000e+00 1.500000e+00 1.500000e+00 1.169430e-02 1.987207e-03 1.963755e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d107-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d107-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t107
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d107-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d107-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t107
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 2.500000e-01 2.500000e-01 5.929740e-01 2.680650e-03 2.680650e-03
+1.750000e+00 2.500000e-01 2.500000e-01 3.821870e-01 1.632920e-03 1.632920e-03
+2.500000e+00 5.000000e-01 5.000000e-01 2.252400e-01 7.671910e-04 7.671910e-04
+3.500000e+00 5.000000e-01 5.000000e-01 1.188240e-01 4.842160e-04 4.842160e-04
+4.500000e+00 5.000000e-01 5.000000e-01 6.740810e-02 3.222590e-04 3.222590e-04
+6.000000e+00 1.000000e+00 1.000000e+00 3.294060e-02 1.642060e-04 1.642060e-04
+8.500000e+00 1.500000e+00 1.500000e+00 1.168870e-02 7.144690e-05 7.144690e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d108-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d108-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t108
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 9.923700e-01 7.392912e-02 7.346408e-02
+3.000000e-01 1.000000e-01 1.000000e-01 1.002320e+00 6.411571e-02 6.418883e-02
+5.000000e-01 1.000000e-01 1.000000e-01 8.392260e-01 5.562113e-02 5.637025e-02
+7.000000e-01 1.000000e-01 1.000000e-01 7.109310e-01 5.624404e-02 5.666402e-02
+9.000000e-01 1.000000e-01 1.000000e-01 5.316950e-01 4.064892e-02 4.133120e-02
+1.150000e+00 1.500000e-01 1.500000e-01 3.682850e-01 3.523387e-02 3.541253e-02
+1.650000e+00 3.500000e-01 3.500000e-01 1.060100e-01 1.631187e-02 1.648200e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d108-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d108-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t108
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d108-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d108-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t108
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.037840e+00 4.246960e-03 4.246960e-03
+3.000000e-01 1.000000e-01 1.000000e-01 9.802050e-01 4.318140e-03 4.318140e-03
+5.000000e-01 1.000000e-01 1.000000e-01 8.747650e-01 4.065680e-03 4.065680e-03
+7.000000e-01 1.000000e-01 1.000000e-01 7.172050e-01 3.349260e-03 3.349260e-03
+9.000000e-01 1.000000e-01 1.000000e-01 5.556920e-01 2.897060e-03 2.897060e-03
+1.150000e+00 1.500000e-01 1.500000e-01 3.697010e-01 1.902610e-03 1.902610e-03
+1.650000e+00 3.500000e-01 3.500000e-01 7.992640e-02 6.129290e-04 6.129290e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d109-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d109-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t109
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e+01 1.000000e+01 1.000000e+01 1.455960e-02 8.380912e-04 7.824117e-04
+3.000000e+01 1.000000e+01 1.000000e+01 9.227100e-03 6.087692e-04 5.877505e-04
+5.000000e+01 1.000000e+01 1.000000e+01 5.882100e-03 4.543902e-04 4.586386e-04
+8.000000e+01 2.000000e+01 2.000000e+01 3.776460e-03 3.871100e-04 4.215560e-04
+1.500000e+02 5.000000e+01 5.000000e+01 1.369420e-03 1.139969e-04 1.087394e-04
+2.500000e+02 5.000000e+01 5.000000e+01 5.871960e-04 1.106128e-04 1.058604e-04
+4.500000e+02 1.500000e+02 1.500000e+02 1.996820e-04 6.329816e-05 6.262047e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d109-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d109-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t109
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d109-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d109-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t109
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e+01 1.000000e+01 1.000000e+01 1.494570e-02 3.617400e-05 3.617400e-05
+3.000000e+01 1.000000e+01 1.000000e+01 9.349360e-03 3.701070e-05 3.701070e-05
+5.000000e+01 1.000000e+01 1.000000e+01 6.222420e-03 3.262760e-05 3.262760e-05
+8.000000e+01 2.000000e+01 2.000000e+01 3.676700e-03 1.850220e-05 1.850220e-05
+1.500000e+02 5.000000e+01 5.000000e+01 1.462260e-03 9.729740e-06 9.729740e-06
+2.500000e+02 5.000000e+01 5.000000e+01 5.037320e-04 5.157350e-06 5.157350e-06
+4.500000e+02 1.500000e+02 1.500000e+02 1.532790e-04 1.366530e-06 1.366530e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d110-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d110-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t110
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 1.250000e+00 1.250000e+00 4.045480e-02 2.783871e-02 2.785020e-02
+2.625000e+00 1.250000e-01 1.250000e-01 2.367170e-01 5.469644e-02 5.337813e-02
+2.875000e+00 1.250000e-01 1.250000e-01 8.842040e-01 8.069766e-02 8.332931e-02
+3.075000e+00 7.500000e-02 7.500000e-02 4.124220e+00 2.915477e-01 2.951160e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d110-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d110-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t110
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d110-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d110-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t110
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e+00 1.250000e+00 1.250000e+00 3.375990e-02 6.300430e-04 6.300430e-04
+2.625000e+00 1.250000e-01 1.250000e-01 2.022240e-01 9.934330e-04 9.934330e-04
+2.875000e+00 1.250000e-01 1.250000e-01 8.582240e-01 1.980760e-03 1.980760e-03
+3.075000e+00 7.500000e-02 7.500000e-02 4.336590e+00 5.300670e-03 5.300670e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d111-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d111-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t111
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.025000e+03 2.500000e+01 2.500000e+01 5.064800e-03 4.124055e-04 4.486871e-04
+1.075000e+03 2.500000e+01 2.500000e+01 3.690590e-03 2.562684e-04 2.568017e-04
+1.125000e+03 2.500000e+01 2.500000e+01 2.609730e-03 1.680971e-04 1.829537e-04
+1.175000e+03 2.500000e+01 2.500000e+01 1.856090e-03 1.547112e-04 1.612011e-04
+1.225000e+03 2.500000e+01 2.500000e+01 1.425320e-03 1.517486e-04 1.391656e-04
+1.275000e+03 2.500000e+01 2.500000e+01 1.184300e-03 1.394445e-04 1.265095e-04
+1.350000e+03 5.000000e+01 5.000000e+01 7.516370e-04 1.089453e-04 1.089949e-04
+1.500000e+03 1.000000e+02 1.000000e+02 3.564270e-04 6.787622e-05 6.506886e-05
+1.700000e+03 1.000000e+02 1.000000e+02 2.582400e-04 7.638285e-05 6.878705e-05
+2.150000e+03 3.500000e+02 3.500000e+02 1.480170e-05 7.849668e-06 8.335057e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d111-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d111-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t111
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d111-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d111-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t111
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.025000e+03 2.500000e+01 2.500000e+01 4.744900e-03 1.948320e-05 1.948320e-05
+1.075000e+03 2.500000e+01 2.500000e+01 3.560450e-03 1.804920e-05 1.804920e-05
+1.125000e+03 2.500000e+01 2.500000e+01 2.675730e-03 1.659930e-05 1.659930e-05
+1.175000e+03 2.500000e+01 2.500000e+01 2.013530e-03 1.183680e-05 1.183680e-05
+1.225000e+03 2.500000e+01 2.500000e+01 1.534770e-03 1.013690e-05 1.013690e-05
+1.275000e+03 2.500000e+01 2.500000e+01 1.175910e-03 9.713860e-06 9.713860e-06
+1.350000e+03 5.000000e+01 5.000000e+01 7.996870e-04 5.253910e-06 5.253910e-06
+1.500000e+03 1.000000e+02 1.000000e+02 4.010820e-04 2.952740e-06 2.952740e-06
+1.700000e+03 1.000000e+02 1.000000e+02 1.595460e-04 1.823220e-06 1.823220e-06
+2.150000e+03 3.500000e+02 3.500000e+02 3.234450e-05 2.124630e-07 2.124630e-07
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d112-x01-y01
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d112-x01-y01
+Title=doi:10.17182/hepdata.81709.v1/t112
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.379220e+00 6.739784e-02 6.749668e-02
+3.000000e-01 1.000000e-01 1.000000e-01 1.366430e+00 6.417132e-02 6.522338e-02
+5.000000e-01 1.000000e-01 1.000000e-01 1.223210e+00 6.333748e-02 6.140154e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.123170e+00 1.006142e-01 1.012519e-01
+7.500000e-01 5.000000e-02 5.000000e-02 6.378640e-01 7.674820e-02 7.735181e-02
+9.000000e-01 1.000000e-01 1.000000e-01 1.506180e-01 3.419485e-02 3.401334e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d112-x01-y02
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d112-x01-y02
+Title=doi:10.17182/hepdata.81709.v1/t112
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/ATLAS_2018_I1646686/d112-x01-y03
+IsRef=1
+Path=/REF/ATLAS_2018_I1646686/d112-x01-y03
+Title=doi:10.17182/hepdata.81709.v1/t112
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.505990e+00 6.718410e-03 6.718410e-03
+3.000000e-01 1.000000e-01 1.000000e-01 1.413000e+00 4.767300e-03 4.767300e-03
+5.000000e-01 1.000000e-01 1.000000e-01 1.208050e+00 3.410300e-03 3.410300e-03
+6.500000e-01 5.000000e-02 5.000000e-02 8.930640e-01 3.633240e-03 3.633240e-03
+7.500000e-01 5.000000e-02 5.000000e-02 5.837540e-01 2.653460e-03 2.653460e-03
+9.000000e-01 1.000000e-01 1.000000e-01 1.345480e-01 9.728640e-04 9.728640e-04
+END YODA_SCATTER2D
diff --git a/analyses/pluginCMS/CMS_2012_I1111014.cc b/analyses/pluginCMS/CMS_2012_I1111014.cc
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2012_I1111014.cc
@@ -0,0 +1,185 @@
+// -*- C++ -*-
+#include "Rivet/Analysis.hh"
+#include "Rivet/Projections/FastJets.hh"
+#include "Rivet/Projections/VetoedFinalState.hh"
+#include "Rivet/Projections/VisibleFinalState.hh"
+#include "Rivet/Projections/JetShape.hh"
+
+namespace Rivet {
+
+
+ /// @brief CMS jet shape analysis
+ /// @author Andreas Hinzmann
+ class CMS_2012_I1111014 : public Analysis {
+ public:
+
+ /// Constructor
+ CMS_2012_I1111014()
+ : Analysis("CMS_2012_I1111014")
+ { }
+
+
+ /// @name Analysis methods
+ //@{
+
+ void init() {
+ // Set up projections
+ const FinalState fs(-5.0, 5.0);
+ declare(fs, "FS");
+ FastJets fj5(fs, FastJets::ANTIKT, 0.5);
+ declare(fj5, "Jets5");
+ FastJets fj7(fs, FastJets::ANTIKT, 0.7);
+ declare(fj7, "Jets7");
+
+ // Specify pT bins
+ _ptedges = {{ 20.,25.,30.,40.,50.,60.,70.,80.,90.,100.,110.,125.,140.,160.,180.,200.,225.,250.,300.,400.,500.,600.,1000. }};
+ _yedges = {{ 0.0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0 }};
+
+ // Register a jet shape projection and histogram for each pT bin
+ unsigned int histo_counter=1;
+ for (size_t j = 0; j < 6; ++j) {
+ for (size_t i = 0; i < 22; ++i) {
+ if (i > 20 && j == 3) continue;
+ if (i > 18 && j >= 4) continue;
+
+ // Set up projections for each (pT,y) bin
+ _jsnames_pT[i][j] = "JetShape" + to_str(i) + "_" + to_str(j);
+ const JetShape jsp(fj7, 0.0, 0.7, 7, _ptedges[i], _ptedges[i+1], _yedges[j], _yedges[j+1], RAPIDITY);
+ declare(jsp, _jsnames_pT[i][j]);
+
+ // Book profile histograms for each (pT,y) bin
+ book(_profhistRho_pT[i][j], histo_counter, 1, 1);
+ histo_counter+=1;
+ }
+ }
+ book(_profhistNch[0], 126, 1, 1);
+ book(_profhistNch[1], 126, 1, 2);
+ book(_profhistDr[0], 127, 1, 1);
+ book(_profhistDr[1], 127, 1, 2);
+ book(_profhistDeta, "TMP/Deta", refData(127,1,1));
+ book(_profhistDphi, "TMP/Dphi", refData(127,1,1));
+ book(_profhistAsym, "d128-x01-y01", true);
+
+ }
+
+
+
+ /// Do the analysis
+ void analyze(const Event& evt) {
+
+ // Get jets and require at least one to pass pT and y cuts
+ Jets jets7 = apply<FastJets>(evt, "Jets7")
+ .jetsByPt(Cuts::ptIn(_ptedges.front()*GeV, _ptedges.back()*GeV) && Cuts::absrap < 3.0);
+ if(jets7.size()>2) jets7.resize(2); // Use only the first two jets
+ MSG_DEBUG("Jet (R=0.7) multiplicity before cuts = " << jets7.size());
+ if (jets7.size() == 0) {
+ MSG_DEBUG("No jets (R=0.7) found in required pT and rapidity range");
+ vetoEvent;
+ }
+ // Calculate and histogram jet shapes
+ for (size_t jy = 0; jy < 6; ++jy) {
+ for (size_t ipt = 0; ipt < 22; ++ipt) {
+ if (ipt > 20 && jy == 3) continue;
+ if (ipt > 18 && jy >= 4) continue;
+ JetShape jsipt = apply<JetShape>(evt, _jsnames_pT[ipt][jy]);
+ jsipt.calc(jets7);
+ for (size_t ijet = 0; ijet < jsipt.numJets(); ++ijet) {
+ for (size_t rbin = 0; rbin < jsipt.numBins(); ++rbin) {
+ const double r_rho = jsipt.rBinMid(rbin);
+ _profhistRho_pT[ipt][jy]->fill(r_rho, (1./0.1)*jsipt.diffJetShape(ijet, rbin));
+ }
+ }
+ }
+ }
+
+ // Get jets and require at least one to pass pT and y cuts
+ Jets jets5 = apply<FastJets>(evt, "Jets5")
+ .jetsByPt(Cuts::ptIn(50*GeV, 1000*GeV) && Cuts::absrap < 2.0);
+ // Calculate and histogram charged jet shapes
+ for (const Jet& jet : jets5) {
+ double ncharge = 0;
+ double eta=0;
+ double phi=0;
+ double sumpt=0;
+ for (const Particle& p : jet.particles()) {
+ if ((p.pT() < 0.5) || (p.threeCharge()==0) || (abs(p.pdgId())==11) || (abs(p.pdgId())==13)) continue;
+ ncharge++;
+ sumpt+=p.pT();
+ eta+=p.pT()*p.eta();
+ phi+=p.pT()*mapAngleMPiToPi(p.phi()-jet.phi());
+ }
+ if (jet.absrap()<1.0) {
+ _profhistNch[0]->fill(jet.pT(), ncharge );
+ } else if (jet.absrap()<2.0) {
+ _profhistNch[1]->fill(jet.pT(), ncharge );
+ }
+ if (sumpt==0) continue;
+ eta/=sumpt;
+ phi/=sumpt;
+ double deta=0;
+ double dphi=0;
+ for (const Particle& p : jet.particles()) {
+ if ((p.pT() < 0.5) || (p.threeCharge()==0) || (abs(p.pdgId())==11) || (abs(p.pdgId())==13)) continue;
+ deta+=p.pT()*pow(p.eta()-eta,2);
+ dphi+=p.pT()*pow(mapAngleMPiToPi(p.phi()-phi-jet.phi()),2);
+ }
+ deta/=sumpt;
+ dphi/=sumpt;
+ if ((dphi==0)||(deta==0)) continue;
+ if (jet.absrap()<1.0) {
+ _profhistDr[0]->fill(jet.pT(), deta+dphi );
+ _profhistDeta->fill(jet.pT(), deta );
+ _profhistDphi->fill(jet.pT(), dphi );
+ } else if (jet.absrap()<2.0) {
+ _profhistDr[1]->fill(jet.pT(), deta+dphi );
+ }
+ }
+ }
+
+
+ // Finalize
+ void finalize() {
+ for (unsigned int i = 0; i < _profhistAsym->numPoints(); ++i) {
+ if((_profhistDeta->bin(i).numEntries()<2)||(_profhistDphi->bin(i).numEntries()<2)) continue;
+ if((_profhistDeta->bin(i).mean()==0)||(_profhistDphi->bin(i).mean()==0)) continue;
+ double mean_ratio=_profhistDeta->bin(i).mean() / _profhistDphi->bin(i).mean();
+ double mean_error=mean_ratio*sqrt(pow(_profhistDeta->bin(i).stdErr()/_profhistDeta->bin(i).mean(),2)+pow(_profhistDphi->bin(i).stdErr()/_profhistDphi->bin(i).mean(),2));
+ _profhistAsym->point(i).setY(mean_ratio,mean_error);
+ }
+ }
+
+ //@}
+
+
+ private:
+
+ /// @name Analysis data
+ //@{
+
+ /// Jet \f$ p_\perp\f$ bins.
+ vector<double> _ptedges; // This can't be a raw array if we want to initialise it non-painfully
+ vector<double> _yedges;
+
+ /// JetShape projection name for each \f$p_\perp\f$ bin.
+ string _jsnames_pT[22][6];
+
+ //@}
+
+ /// @name Histograms
+ //@{
+ Profile1DPtr _profhistRho_pT[22][6];
+ Profile1DPtr _profhistNch[2];
+ Profile1DPtr _profhistDr[2];
+ Profile1DPtr _profhistDeta;
+ Profile1DPtr _profhistDphi;
+ Scatter2DPtr _profhistAsym;
+ //@}
+
+ };
+
+
+
+ // The hook for the plugin system
+ DECLARE_RIVET_PLUGIN(CMS_2012_I1111014);
+
+}
diff --git a/analyses/pluginCMS/CMS_2012_I1111014.info b/analyses/pluginCMS/CMS_2012_I1111014.info
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2012_I1111014.info
@@ -0,0 +1,23 @@
+Name: CMS_2012_I1111014
+Year: 2012
+Summary: Shape, Transverse Size, and Charged Hadron Multiplicity of Jets in pp Collisions at $\sqrt{s}=7$ TeV
+Experiment: CMS
+Collider: LHC
+SpiresID: 1111014
+Status: VALIDATED
+Authors:
+ - Andreas Hinzmann <andreas.hinzmann@cern.ch>
+
+References:
+ - hep-ex arXiv:1204.3170
+ - inspirehep 1111014
+ - http://cms-results.web.cern.ch/cms-results/public-results/publications/QCD-10-029/
+
+RunInfo:
+ pp QCD interactions at $\sqrt{s} = 7$ TeV. Data collected by CMS during the year 2010.
+Beams: [p+, p+]
+Energies: [7000]
+PtCuts: [20]
+NeedCrossSection: no
+Description:
+ 'Measurements of jet characteristics from inclusive jet production in proton-proton collisions at a centre-of-mass energy of 7 TeV are presented. The data sample was collected with the CMS detector at the LHC during 2010 and corresponds to an integrated luminosity of 36 inverse picobarns. The mean charged hadron multiplicity, the differential and integral jet shape distributions, and two independent moments of the shape distributions are measured as functions of the jet transverse momentum for jets reconstructed with the anti-kT algorithm. The measured observables are corrected to the particle level and compared with predictions from various QCD Monte Carlo generators.'
diff --git a/analyses/pluginCMS/CMS_2012_I1111014.plot b/analyses/pluginCMS/CMS_2012_I1111014.plot
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2012_I1111014.plot
@@ -0,0 +1,910 @@
+# BEGIN PLOT /CMS_2012_I1111014/d01-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (20 $<$ $p_T$ $<$ 25 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d02-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (25 $<$ $p_T$ $<$ 30 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d03-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (30 $<$ $p_T$ $<$ 40 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d04-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (40 $<$ $p_T$ $<$ 50 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d05-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (50 $<$ $p_T$ $<$ 60 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d06-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (60 $<$ $p_T$ $<$ 70 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d07-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (70 $<$ $p_T$ $<$ 80 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d08-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (80 $<$ $p_T$ $<$ 90 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d09-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (90 $<$ $p_T$ $<$ 100 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d10-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (100 $<$ $p_T$ $<$ 110 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d11-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (110 $<$ $p_T$ $<$ 125 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d12-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (125 $<$ $p_T$ $<$ 140 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d13-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (140 $<$ $p_T$ $<$ 160 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d14-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (160 $<$ $p_T$ $<$ 180 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d15-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (180 $<$ $p_T$ $<$ 200 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d16-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (200 $<$ $p_T$ $<$ 225 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d17-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (225 $<$ $p_T$ $<$ 250 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d18-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (250 $<$ $p_T$ $<$ 300 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d19-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (300 $<$ $p_T$ $<$ 400 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d20-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (400 $<$ $p_T$ $<$ 500 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d21-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (500 $<$ $p_T$ $<$ 600 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d22-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (600 $<$ $p_T$ $<$ 1000 GeV, $|y|$ $<$ 0.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d23-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (20 $<$ $p_T$ $<$ 25 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d24-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (25 $<$ $p_T$ $<$ 30 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d25-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (30 $<$ $p_T$ $<$ 40 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d26-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (40 $<$ $p_T$ $<$ 50 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d27-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (50 $<$ $p_T$ $<$ 60 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d28-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (60 $<$ $p_T$ $<$ 70 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d29-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (70 $<$ $p_T$ $<$ 80 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d30-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (80 $<$ $p_T$ $<$ 90 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d31-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (90 $<$ $p_T$ $<$ 100 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d32-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (100 $<$ $p_T$ $<$ 110 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d33-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (110 $<$ $p_T$ $<$ 125 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d34-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (125 $<$ $p_T$ $<$ 140 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d35-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (140 $<$ $p_T$ $<$ 160 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d36-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (160 $<$ $p_T$ $<$ 180 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d37-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (180 $<$ $p_T$ $<$ 200 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d38-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (200 $<$ $p_T$ $<$ 225 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d39-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (225 $<$ $p_T$ $<$ 250 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d40-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (250 $<$ $p_T$ $<$ 300 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d41-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (300 $<$ $p_T$ $<$ 400 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d42-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (400 $<$ $p_T$ $<$ 500 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d43-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (500 $<$ $p_T$ $<$ 600 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d44-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (600 $<$ $p_T$ $<$ 1000 GeV, 0.5 $<$ $|y|$ $<$ 1.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d45-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (20 $<$ $p_T$ $<$ 25 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d46-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (25 $<$ $p_T$ $<$ 30 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d47-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (30 $<$ $p_T$ $<$ 40 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d48-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (40 $<$ $p_T$ $<$ 50 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d49-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (50 $<$ $p_T$ $<$ 60 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d50-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (60 $<$ $p_T$ $<$ 70 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d51-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (70 $<$ $p_T$ $<$ 80 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d52-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (80 $<$ $p_T$ $<$ 90 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d53-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (90 $<$ $p_T$ $<$ 100 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d54-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (100 $<$ $p_T$ $<$ 110 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d55-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (110 $<$ $p_T$ $<$ 125 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d56-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (125 $<$ $p_T$ $<$ 140 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d57-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (140 $<$ $p_T$ $<$ 160 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d58-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (160 $<$ $p_T$ $<$ 180 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d59-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (180 $<$ $p_T$ $<$ 200 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d60-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (200 $<$ $p_T$ $<$ 225 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d61-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (225 $<$ $p_T$ $<$ 250 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d62-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (250 $<$ $p_T$ $<$ 300 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d63-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (300 $<$ $p_T$ $<$ 400 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d64-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (400 $<$ $p_T$ $<$ 500 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d65-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (500 $<$ $p_T$ $<$ 600 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d66-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (600 $<$ $p_T$ $<$ 1000 GeV, 1.0 $<$ $|y|$ $<$ 1.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d67-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (20 $<$ $p_T$ $<$ 25 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d68-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (25 $<$ $p_T$ $<$ 30 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d69-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (30 $<$ $p_T$ $<$ 40 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d70-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (40 $<$ $p_T$ $<$ 50 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d71-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (50 $<$ $p_T$ $<$ 60 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d72-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (60 $<$ $p_T$ $<$ 70 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d73-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (70 $<$ $p_T$ $<$ 80 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d74-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (80 $<$ $p_T$ $<$ 90 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d75-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (90 $<$ $p_T$ $<$ 100 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d76-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (100 $<$ $p_T$ $<$ 110 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d77-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (110 $<$ $p_T$ $<$ 125 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d78-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (125 $<$ $p_T$ $<$ 140 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d79-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (140 $<$ $p_T$ $<$ 160 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d80-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (160 $<$ $p_T$ $<$ 180 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d81-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (180 $<$ $p_T$ $<$ 200 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d82-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (200 $<$ $p_T$ $<$ 225 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d83-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (225 $<$ $p_T$ $<$ 250 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d84-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (250 $<$ $p_T$ $<$ 300 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d85-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (300 $<$ $p_T$ $<$ 400 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d86-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (400 $<$ $p_T$ $<$ 500 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d87-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (500 $<$ $p_T$ $<$ 600 GeV, 1.5 $<$ $|y|$ $<$ 2.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d88-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (20 $<$ $p_T$ $<$ 25 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d89-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (25 $<$ $p_T$ $<$ 30 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d90-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (30 $<$ $p_T$ $<$ 40 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d91-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (40 $<$ $p_T$ $<$ 50 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d92-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (50 $<$ $p_T$ $<$ 60 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d93-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (60 $<$ $p_T$ $<$ 70 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d94-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (70 $<$ $p_T$ $<$ 80 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d95-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (80 $<$ $p_T$ $<$ 90 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d96-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (90 $<$ $p_T$ $<$ 100 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d97-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (100 $<$ $p_T$ $<$ 110 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d98-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (110 $<$ $p_T$ $<$ 125 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d99-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (125 $<$ $p_T$ $<$ 140 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d100-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (140 $<$ $p_T$ $<$ 160 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d101-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (160 $<$ $p_T$ $<$ 180 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d102-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (180 $<$ $p_T$ $<$ 200 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d103-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (200 $<$ $p_T$ $<$ 225 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d104-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (225 $<$ $p_T$ $<$ 250 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d105-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (250 $<$ $p_T$ $<$ 300 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d106-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (300 $<$ $p_T$ $<$ 400 GeV, 2.0 $<$ $|y|$ $<$ 2.5)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d107-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (20 $<$ $p_T$ $<$ 25 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d108-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (25 $<$ $p_T$ $<$ 30 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d109-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (30 $<$ $p_T$ $<$ 40 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d110-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (40 $<$ $p_T$ $<$ 50 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d111-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (50 $<$ $p_T$ $<$ 60 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d112-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (60 $<$ $p_T$ $<$ 70 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d113-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (70 $<$ $p_T$ $<$ 80 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d114-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (80 $<$ $p_T$ $<$ 90 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d115-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (90 $<$ $p_T$ $<$ 100 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d116-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (100 $<$ $p_T$ $<$ 110 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d117-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (110 $<$ $p_T$ $<$ 125 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d118-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (125 $<$ $p_T$ $<$ 140 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d119-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (140 $<$ $p_T$ $<$ 160 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d120-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (160 $<$ $p_T$ $<$ 180 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d121-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (180 $<$ $p_T$ $<$ 200 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d122-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (200 $<$ $p_T$ $<$ 225 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d123-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (225 $<$ $p_T$ $<$ 250 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d124-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (250 $<$ $p_T$ $<$ 300 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d125-x01-y01
+Title=CMS, 7 TeV, Jet shape $\rho$ (300 $<$ $p_T$ $<$ 400 GeV, 2.5 $<$ $|y|$ $<$ 3.0)
+XLabel=r
+YLabel=$\rho$(r)
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d126-x01-y01
+Title=CMS, 7 TeV, N$_{ch}$ ($|y|$ $<$ 1.0)
+XLabel=$p_T$ (GeV/c)
+YLabel=N$_{ch}$
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d126-x01-y02
+Title=CMS, 7 TeV, N$_{ch}$ (1.0 $<$ $|y|$ $<$ 2.0)
+XLabel=$p_T$ (GeV/c)
+YLabel=N$_{ch}$
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d127-x01-y01
+Title=CMS, 7 TeV, $<\delta R^2>$ ($|y|$ $<$ 1.0)
+XLabel=$p_T$ (GeV/c)
+YLabel=$<\delta R^2>$
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d127-x01-y02
+Title=CMS, 7 TeV, $<\delta R^2>$ (1.0 $<$ $|y|$ $<$ 2.0)
+XLabel=$p_T$ (GeV/c)
+YLabel=$<\delta R^2>$
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /CMS_2012_I1111014/d128-x01-y01
+Title=CMS, 7 TeV, $<\delta \eta^2>/<\delta \phi^2>$ ($|y|$ $<$ 1.0)
+XLabel=$p_T$ (GeV/c)
+YLabel=$<\delta \eta^2>/<\delta \phi^2>$
+LogY=0
+# END PLOT
+
diff --git a/analyses/pluginCMS/CMS_2012_I1111014.yoda b/analyses/pluginCMS/CMS_2012_I1111014.yoda
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2012_I1111014.yoda
@@ -0,0 +1,1969 @@
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d01-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d01-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t1
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 1.532000e+00 2.213256e-01 2.213256e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.197000e+00 1.417921e-01 1.417921e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.856000e+00 1.174777e-01 1.174777e-01
+3.500000e-01 5.000000e-02 5.000000e-02 1.518000e+00 9.904040e-02 9.904040e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.256000e+00 1.421443e-01 1.421443e-01
+5.500000e-01 5.000000e-02 5.000000e-02 1.051000e+00 1.676723e-01 1.676723e-01
+6.500000e-01 5.000000e-02 5.000000e-02 5.920000e-01 1.143547e-01 1.143547e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d02-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d02-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t2
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 1.949000e+00 2.348297e-01 2.348297e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.395000e+00 1.309733e-01 1.309733e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.778000e+00 9.100000e-02 9.100000e-02
+3.500000e-01 5.000000e-02 5.000000e-02 1.349000e+00 7.605919e-02 7.605919e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.074000e+00 1.206192e-01 1.206192e-01
+5.500000e-01 5.000000e-02 5.000000e-02 8.950000e-01 1.387552e-01 1.387552e-01
+6.500000e-01 5.000000e-02 5.000000e-02 5.600000e-01 1.049381e-01 1.049381e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d03-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d03-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t3
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 2.712000e+00 2.777139e-01 2.777139e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.496000e+00 1.078378e-01 1.078378e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.635000e+00 6.435060e-02 6.435060e-02
+3.500000e-01 5.000000e-02 5.000000e-02 1.140000e+00 6.888396e-02 6.888396e-02
+4.500000e-01 5.000000e-02 5.000000e-02 8.360000e-01 1.106345e-01 1.106345e-01
+5.500000e-01 5.000000e-02 5.000000e-02 7.220000e-01 1.055462e-01 1.055462e-01
+6.500000e-01 5.000000e-02 5.000000e-02 4.590000e-01 8.500000e-02 8.500000e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d04-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d04-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t4
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 3.355000e+00 2.336536e-01 2.336536e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.614000e+00 8.676405e-02 8.676405e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.404000e+00 4.609772e-02 4.609772e-02
+3.500000e-01 5.000000e-02 5.000000e-02 9.630000e-01 5.777543e-02 5.777543e-02
+4.500000e-01 5.000000e-02 5.000000e-02 6.740000e-01 6.746851e-02 6.746851e-02
+5.500000e-01 5.000000e-02 5.000000e-02 5.990000e-01 8.104937e-02 8.104937e-02
+6.500000e-01 5.000000e-02 5.000000e-02 3.920000e-01 6.462971e-02 6.462971e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d05-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d05-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t5
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.071000e+00 2.280811e-01 2.280811e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.525000e+00 7.939773e-02 7.939773e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.292000e+00 4.879549e-02 4.879549e-02
+3.500000e-01 5.000000e-02 5.000000e-02 7.900000e-01 4.973932e-02 4.973932e-02
+4.500000e-01 5.000000e-02 5.000000e-02 5.590000e-01 5.442426e-02 5.442426e-02
+5.500000e-01 5.000000e-02 5.000000e-02 4.500000e-01 5.797413e-02 5.797413e-02
+6.500000e-01 5.000000e-02 5.000000e-02 3.130000e-01 4.903060e-02 4.903060e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d06-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d06-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t6
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.417000e+00 1.833085e-01 1.833085e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.442000e+00 5.345091e-02 5.345091e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.213000e+00 3.478505e-02 3.478505e-02
+3.500000e-01 5.000000e-02 5.000000e-02 7.180000e-01 3.981206e-02 3.981206e-02
+4.500000e-01 5.000000e-02 5.000000e-02 5.100000e-01 4.440721e-02 4.440721e-02
+5.500000e-01 5.000000e-02 5.000000e-02 4.020000e-01 4.716991e-02 4.716991e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.970000e-01 4.310452e-02 4.310452e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d07-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d07-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t7
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.819000e+00 1.651696e-01 1.651696e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.329000e+00 5.189412e-02 5.189412e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.136000e+00 3.534119e-02 3.534119e-02
+3.500000e-01 5.000000e-02 5.000000e-02 6.660000e-01 3.764306e-02 3.764306e-02
+4.500000e-01 5.000000e-02 5.000000e-02 4.520000e-01 3.765634e-02 3.765634e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.480000e-01 3.832754e-02 3.832754e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.500000e-01 3.423449e-02 3.423449e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d08-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d08-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t8
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.049000e+00 1.485564e-01 1.485564e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.275000e+00 5.491812e-02 5.491812e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.072000e+00 3.721559e-02 3.721559e-02
+3.500000e-01 5.000000e-02 5.000000e-02 6.100000e-01 3.453983e-02 3.453983e-02
+4.500000e-01 5.000000e-02 5.000000e-02 4.320000e-01 3.517101e-02 3.517101e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.270000e-01 3.471311e-02 3.471311e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.340000e-01 3.026549e-02 3.026549e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d09-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d09-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t9
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.294000e+00 1.237619e-01 1.237619e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.193000e+00 4.712749e-02 4.712749e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.014000e+00 3.228002e-02 3.228002e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.850000e-01 3.059412e-02 3.059412e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.990000e-01 3.026549e-02 3.026549e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.970000e-01 2.915476e-02 2.915476e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.180000e-01 2.707397e-02 2.707397e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d10-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d10-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t10
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.372000e+00 1.085219e-01 1.085219e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.164000e+00 4.810405e-02 4.810405e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.000000e+00 3.289377e-02 3.289377e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.800000e-01 3.080584e-02 3.080584e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.830000e-01 2.745906e-02 2.745906e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.920000e-01 2.828427e-02 2.828427e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.080000e-01 2.507987e-02 2.507987e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d11-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d11-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t11
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.603000e+00 9.585927e-02 9.585927e-02
+1.500000e-01 5.000000e-02 5.000000e-02 2.076000e+00 4.753946e-02 4.753946e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.610000e-01 3.417601e-02 3.417601e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.460000e-01 2.816026e-02 2.816026e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.600000e-01 2.451530e-02 2.451530e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.640000e-01 2.418677e-02 2.418677e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.900000e-01 2.109502e-02 2.109502e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d12-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d12-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t12
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.796000e+00 7.858753e-02 7.858753e-02
+1.500000e-01 5.000000e-02 5.000000e-02 2.024000e+00 4.632494e-02 4.632494e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.100000e-01 3.373426e-02 3.373426e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.090000e-01 2.549510e-02 2.549510e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.340000e-01 2.121320e-02 2.121320e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.470000e-01 2.109502e-02 2.109502e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.790000e-01 1.902630e-02 1.902630e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d13-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d13-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t13
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.937000e+00 6.640783e-02 6.640783e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.967000e+00 4.753946e-02 4.753946e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.820000e-01 3.471311e-02 3.471311e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.920000e-01 2.451530e-02 2.451530e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.240000e-01 1.923538e-02 1.923538e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.300000e-01 1.811077e-02 1.811077e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.680000e-01 1.702939e-02 1.702939e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d14-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d14-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t14
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.144000e+00 5.793962e-02 5.793962e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.884000e+00 4.729693e-02 4.729693e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.450000e-01 3.569314e-02 3.569314e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.670000e-01 2.256103e-02 2.256103e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.960000e-01 1.627882e-02 1.627882e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.110000e-01 1.612452e-02 1.612452e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.530000e-01 1.403567e-02 1.403567e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d15-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d15-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t15
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.185000e+00 5.420332e-02 5.420332e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.891000e+00 5.028916e-02 5.028916e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.300000e-01 3.807887e-02 3.807887e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.530000e-01 2.184033e-02 2.184033e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.920000e-01 1.529706e-02 1.529706e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.040000e-01 1.414214e-02 1.414214e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.440000e-01 1.303840e-02 1.303840e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d16-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d16-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t16
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.394000e+00 5.636488e-02 5.636488e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.802000e+00 4.972927e-02 4.972927e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.860000e-01 4.275512e-02 4.275512e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.280000e-01 2.158703e-02 2.158703e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.720000e-01 1.824829e-02 1.824829e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.870000e-01 1.216553e-02 1.216553e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.320000e-01 1.104536e-02 1.104536e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d17-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d17-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t17
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.450000e+00 6.313478e-02 6.313478e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.787000e+00 5.092151e-02 5.092151e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.780000e-01 3.929377e-02 3.929377e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.210000e-01 2.765863e-02 2.765863e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.640000e-01 1.264911e-02 1.264911e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.770000e-01 1.118034e-02 1.118034e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.230000e-01 1.004988e-02 1.004988e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d18-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d18-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t18
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.659000e+00 6.041523e-02 6.041523e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.705000e+00 5.154610e-02 5.154610e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.230000e-01 3.807887e-02 3.807887e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.940000e-01 2.184033e-02 2.184033e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.440000e-01 1.236932e-02 1.236932e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.610000e-01 1.019804e-02 1.019804e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.140000e-01 9.055385e-03 9.055385e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d19-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d19-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t19
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.947000e+00 9.677293e-02 9.677293e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.542000e+00 4.875449e-02 4.875449e-02
+2.500000e-01 5.000000e-02 5.000000e-02 6.790000e-01 3.984972e-02 3.984972e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.620000e-01 2.213594e-02 2.213594e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.240000e-01 1.264911e-02 1.264911e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.450000e-01 8.544004e-03 8.544004e-03
+6.500000e-01 5.000000e-02 5.000000e-02 1.010000e-01 7.280110e-03 7.280110e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d20-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d20-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t20
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.140000e+00 1.068270e-01 1.068270e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.455000e+00 6.312686e-02 6.312686e-02
+2.500000e-01 5.000000e-02 5.000000e-02 6.110000e-01 4.522168e-02 4.522168e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.790000e-01 3.000000e-02 3.000000e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.080000e-01 1.486607e-02 1.486607e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.260000e-01 8.602325e-03 8.602325e-03
+6.500000e-01 5.000000e-02 5.000000e-02 8.100000e-02 6.708204e-03 6.708204e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d21-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d21-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t21
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.259000e+00 1.712308e-01 1.712308e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.363000e+00 9.916148e-02 9.916148e-02
+2.500000e-01 5.000000e-02 5.000000e-02 5.980000e-01 6.726812e-02 6.726812e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.560000e-01 4.390900e-02 4.390900e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.220000e-01 2.505993e-02 2.505993e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.310000e-01 1.476482e-02 1.476482e-02
+6.500000e-01 5.000000e-02 5.000000e-02 7.000000e-02 7.071068e-03 7.071068e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d22-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d22-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t22
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.504000e+00 2.537183e-01 2.537183e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.330000e+00 1.618302e-01 1.618302e-01
+2.500000e-01 5.000000e-02 5.000000e-02 5.590000e-01 9.823441e-02 9.823441e-02
+3.500000e-01 5.000000e-02 5.000000e-02 2.870000e-01 5.292447e-02 5.292447e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.450000e-01 2.284732e-02 2.284732e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.200000e-01 1.931321e-02 1.931321e-02
+6.500000e-01 5.000000e-02 5.000000e-02 5.600000e-02 7.211103e-03 7.211103e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d23-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d23-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t23
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 1.557000e+00 2.392864e-01 2.392864e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.238000e+00 1.246635e-01 1.246635e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.841000e+00 1.194362e-01 1.194362e-01
+3.500000e-01 5.000000e-02 5.000000e-02 1.472000e+00 7.500000e-02 7.500000e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.261000e+00 1.600156e-01 1.600156e-01
+5.500000e-01 5.000000e-02 5.000000e-02 1.049000e+00 1.598030e-01 1.598030e-01
+6.500000e-01 5.000000e-02 5.000000e-02 5.810000e-01 1.073778e-01 1.073778e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d24-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d24-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t24
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 2.022000e+00 2.602480e-01 2.602480e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.310000e+00 1.499133e-01 1.499133e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.741000e+00 9.323090e-02 9.323090e-02
+3.500000e-01 5.000000e-02 5.000000e-02 1.357000e+00 7.920227e-02 7.920227e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.105000e+00 1.351481e-01 1.351481e-01
+5.500000e-01 5.000000e-02 5.000000e-02 9.230000e-01 1.412303e-01 1.412303e-01
+6.500000e-01 5.000000e-02 5.000000e-02 5.410000e-01 9.503683e-02 9.503683e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d25-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d25-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t25
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 2.551000e+00 2.571089e-01 2.571089e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.587000e+00 1.197748e-01 1.197748e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.647000e+00 1.189622e-01 1.189622e-01
+3.500000e-01 5.000000e-02 5.000000e-02 1.107000e+00 8.005623e-02 8.005623e-02
+4.500000e-01 5.000000e-02 5.000000e-02 8.780000e-01 1.001699e-01 1.001699e-01
+5.500000e-01 5.000000e-02 5.000000e-02 7.640000e-01 1.133578e-01 1.133578e-01
+6.500000e-01 5.000000e-02 5.000000e-02 4.650000e-01 7.924645e-02 7.924645e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d26-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d26-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t26
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 3.420000e+00 2.615129e-01 2.615129e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.610000e+00 8.497058e-02 8.497058e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.414000e+00 6.158734e-02 6.158734e-02
+3.500000e-01 5.000000e-02 5.000000e-02 9.360000e-01 6.609841e-02 6.609841e-02
+4.500000e-01 5.000000e-02 5.000000e-02 6.930000e-01 7.180529e-02 7.180529e-02
+5.500000e-01 5.000000e-02 5.000000e-02 5.450000e-01 7.595393e-02 7.595393e-02
+6.500000e-01 5.000000e-02 5.000000e-02 3.820000e-01 5.770615e-02 5.770615e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d27-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d27-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t27
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 3.988000e+00 2.512469e-01 2.512469e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.568000e+00 8.438602e-02 8.438602e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.302000e+00 6.382006e-02 6.382006e-02
+3.500000e-01 5.000000e-02 5.000000e-02 7.890000e-01 6.083584e-02 6.083584e-02
+4.500000e-01 5.000000e-02 5.000000e-02 5.660000e-01 5.664804e-02 5.664804e-02
+5.500000e-01 5.000000e-02 5.000000e-02 4.590000e-01 6.140033e-02 6.140033e-02
+6.500000e-01 5.000000e-02 5.000000e-02 3.280000e-01 4.729693e-02 4.729693e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d28-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d28-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t28
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.491000e+00 2.129836e-01 2.129836e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.436000e+00 5.824088e-02 5.824088e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.179000e+00 5.021952e-02 5.021952e-02
+3.500000e-01 5.000000e-02 5.000000e-02 7.040000e-01 4.866210e-02 4.866210e-02
+4.500000e-01 5.000000e-02 5.000000e-02 5.050000e-01 4.440721e-02 4.440721e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.970000e-01 4.825971e-02 4.825971e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.880000e-01 3.712142e-02 3.712142e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d29-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d29-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t29
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.795000e+00 1.887326e-01 1.887326e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.348000e+00 5.923681e-02 5.923681e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.116000e+00 4.933559e-02 4.933559e-02
+3.500000e-01 5.000000e-02 5.000000e-02 6.640000e-01 4.609772e-02 4.609772e-02
+4.500000e-01 5.000000e-02 5.000000e-02 4.550000e-01 3.863936e-02 3.863936e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.630000e-01 4.143670e-02 4.143670e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.580000e-01 3.125700e-02 3.125700e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d30-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d30-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t30
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.156000e+00 1.736232e-01 1.736232e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.201000e+00 6.090156e-02 6.090156e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.057000e+00 4.884670e-02 4.884670e-02
+3.500000e-01 5.000000e-02 5.000000e-02 6.130000e-01 4.205948e-02 4.205948e-02
+4.500000e-01 5.000000e-02 5.000000e-02 4.170000e-01 3.420526e-02 3.420526e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.250000e-01 3.569314e-02 3.569314e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.310000e-01 2.745906e-02 2.745906e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d31-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d31-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t31
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.338000e+00 1.443607e-01 1.443607e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.180000e+00 5.578530e-02 5.578530e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.990000e-01 4.295346e-02 4.295346e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.760000e-01 3.649658e-02 3.649658e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.910000e-01 2.927456e-02 2.927456e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.990000e-01 3.114482e-02 3.114482e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.150000e-01 2.308679e-02 2.308679e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d32-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d32-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t32
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.500000e+00 1.280625e-01 1.280625e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.130000e+00 5.661272e-02 5.661272e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.650000e-01 4.244997e-02 4.244997e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.570000e-01 3.471311e-02 3.471311e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.690000e-01 2.745906e-02 2.745906e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.770000e-01 2.716616e-02 2.716616e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.020000e-01 2.109502e-02 2.109502e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d33-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d33-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t33
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.620000e+00 1.094166e-01 1.094166e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.086000e+00 5.692100e-02 5.692100e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.510000e-01 4.148494e-02 4.148494e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.330000e-01 3.178050e-02 3.178050e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.550000e-01 2.451530e-02 2.451530e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.670000e-01 2.433105e-02 2.433105e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.880000e-01 1.811077e-02 1.811077e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d34-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d34-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t34
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.865000e+00 9.024411e-02 9.024411e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.998000e+00 5.412947e-02 5.412947e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.920000e-01 3.962323e-02 3.962323e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.020000e-01 2.844293e-02 2.844293e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.260000e-01 2.220360e-02 2.220360e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.410000e-01 2.109502e-02 2.109502e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.750000e-01 1.603122e-02 1.603122e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d35-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d35-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t35
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.985000e+00 7.528612e-02 7.528612e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.948000e+00 5.434151e-02 5.434151e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.630000e-01 4.060788e-02 4.060788e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.900000e-01 2.647640e-02 2.647640e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.210000e-01 2.022375e-02 2.022375e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.280000e-01 1.811077e-02 1.811077e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.660000e-01 1.403567e-02 1.403567e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d36-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d36-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t36
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.144000e+00 6.296825e-02 6.296825e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.885000e+00 5.434151e-02 5.434151e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.360000e-01 4.257934e-02 4.257934e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.640000e-01 2.451530e-02 2.451530e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.020000e-01 1.824829e-02 1.824829e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.140000e-01 1.612452e-02 1.612452e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.550000e-01 1.303840e-02 1.303840e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d37-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d37-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t37
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.283000e+00 5.994164e-02 5.994164e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.823000e+00 5.412024e-02 5.412024e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.140000e-01 4.393177e-02 4.393177e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.490000e-01 2.280351e-02 2.280351e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.900000e-01 1.746425e-02 1.746425e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.970000e-01 1.414214e-02 1.414214e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.430000e-01 1.104536e-02 1.104536e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d38-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d38-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t38
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.448000e+00 5.769749e-02 5.769749e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.767000e+00 5.288667e-02 5.288667e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.790000e-01 4.472136e-02 4.472136e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.250000e-01 2.158703e-02 2.158703e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.620000e-01 2.022375e-02 2.022375e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.870000e-01 1.216553e-02 1.216553e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.320000e-01 1.104536e-02 1.104536e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d39-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d39-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t39
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.535000e+00 6.158734e-02 6.158734e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.732000e+00 5.314132e-02 5.314132e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.680000e-01 4.729693e-02 4.729693e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.120000e-01 2.184033e-02 2.184033e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.570000e-01 1.456022e-02 1.456022e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.730000e-01 1.118034e-02 1.118034e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.210000e-01 8.246211e-03 8.246211e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d40-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d40-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t40
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.718000e+00 6.140033e-02 6.140033e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.669000e+00 5.186521e-02 5.186521e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.110000e-01 4.589118e-02 4.589118e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.900000e-01 2.280351e-02 2.280351e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.400000e-01 1.334166e-02 1.334166e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.610000e-01 9.219544e-03 9.219544e-03
+6.500000e-01 5.000000e-02 5.000000e-02 1.110000e-01 8.062258e-03 8.062258e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d41-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d41-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t41
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.939000e+00 7.854935e-02 7.854935e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.582000e+00 5.142956e-02 5.142956e-02
+2.500000e-01 5.000000e-02 5.000000e-02 6.530000e-01 4.657252e-02 4.657252e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.620000e-01 2.154066e-02 2.154066e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.260000e-01 1.392839e-02 1.392839e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.430000e-01 8.544004e-03 8.544004e-03
+6.500000e-01 5.000000e-02 5.000000e-02 9.600000e-02 6.324555e-03 6.324555e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d42-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d42-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t42
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.388000e+00 1.062544e-01 1.062544e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.341000e+00 6.200806e-02 6.200806e-02
+2.500000e-01 5.000000e-02 5.000000e-02 5.860000e-01 4.939636e-02 4.939636e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.080000e-01 2.343075e-02 2.343075e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.860000e-01 1.421267e-02 1.421267e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.150000e-01 7.810250e-03 7.810250e-03
+6.500000e-01 5.000000e-02 5.000000e-02 7.600000e-02 5.830952e-03 5.830952e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d43-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d43-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t43
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.880000e+00 1.637834e-01 1.637834e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.044000e+00 9.075792e-02 9.075792e-02
+2.500000e-01 5.000000e-02 5.000000e-02 4.700000e-01 5.748913e-02 5.748913e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.150000e-01 4.080441e-02 4.080441e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.330000e-01 1.780449e-02 1.780449e-02
+5.500000e-01 5.000000e-02 5.000000e-02 8.900000e-02 8.602325e-03 8.602325e-03
+6.500000e-01 5.000000e-02 5.000000e-02 6.800000e-02 8.602325e-03 8.602325e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d44-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d44-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t44
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.563000e+00 2.556658e-01 2.556658e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.331000e+00 1.673708e-01 1.673708e-01
+2.500000e-01 5.000000e-02 5.000000e-02 5.290000e-01 9.213034e-02 9.213034e-02
+3.500000e-01 5.000000e-02 5.000000e-02 2.750000e-01 6.592420e-02 6.592420e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.510000e-01 2.195450e-02 2.195450e-02
+5.500000e-01 5.000000e-02 5.000000e-02 9.500000e-02 1.476482e-02 1.476482e-02
+6.500000e-01 5.000000e-02 5.000000e-02 5.600000e-02 8.062258e-03 8.062258e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d45-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d45-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t45
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 1.593000e+00 2.305211e-01 2.305211e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.251000e+00 1.775528e-01 1.775528e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.828000e+00 1.314002e-01 1.314002e-01
+3.500000e-01 5.000000e-02 5.000000e-02 1.479000e+00 1.357940e-01 1.357940e-01
+4.500000e-01 5.000000e-02 5.000000e-02 1.214000e+00 1.699559e-01 1.699559e-01
+5.500000e-01 5.000000e-02 5.000000e-02 1.041000e+00 1.557241e-01 1.557241e-01
+6.500000e-01 5.000000e-02 5.000000e-02 5.930000e-01 8.956004e-02 8.956004e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d46-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d46-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t46
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 2.065000e+00 2.439939e-01 2.439939e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.427000e+00 1.559006e-01 1.559006e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.726000e+00 1.023181e-01 1.023181e-01
+3.500000e-01 5.000000e-02 5.000000e-02 1.289000e+00 1.123610e-01 1.123610e-01
+4.500000e-01 5.000000e-02 5.000000e-02 1.055000e+00 1.361249e-01 1.361249e-01
+5.500000e-01 5.000000e-02 5.000000e-02 8.920000e-01 1.288914e-01 1.288914e-01
+6.500000e-01 5.000000e-02 5.000000e-02 5.460000e-01 8.417244e-02 8.417244e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d47-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d47-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t47
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 2.648000e+00 2.357626e-01 2.357626e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.632000e+00 1.426219e-01 1.426219e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.641000e+00 7.717513e-02 7.717513e-02
+3.500000e-01 5.000000e-02 5.000000e-02 1.059000e+00 8.728115e-02 8.728115e-02
+4.500000e-01 5.000000e-02 5.000000e-02 8.500000e-01 9.945853e-02 9.945853e-02
+5.500000e-01 5.000000e-02 5.000000e-02 7.050000e-01 9.688137e-02 9.688137e-02
+6.500000e-01 5.000000e-02 5.000000e-02 4.650000e-01 7.158911e-02 7.158911e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d48-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d48-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t48
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 3.599000e+00 2.332402e-01 2.332402e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.585000e+00 9.708244e-02 9.708244e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.374000e+00 4.770744e-02 4.770744e-02
+3.500000e-01 5.000000e-02 5.000000e-02 8.760000e-01 6.545991e-02 6.545991e-02
+4.500000e-01 5.000000e-02 5.000000e-02 6.430000e-01 6.746851e-02 6.746851e-02
+5.500000e-01 5.000000e-02 5.000000e-02 5.500000e-01 7.138627e-02 7.138627e-02
+6.500000e-01 5.000000e-02 5.000000e-02 3.740000e-01 5.557877e-02 5.557877e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d49-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d49-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t49
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.291000e+00 2.276598e-01 2.276598e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.337000e+00 8.450444e-02 8.450444e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.269000e+00 4.967897e-02 4.967897e-02
+3.500000e-01 5.000000e-02 5.000000e-02 7.610000e-01 5.770615e-02 5.770615e-02
+4.500000e-01 5.000000e-02 5.000000e-02 5.820000e-01 5.923681e-02 5.923681e-02
+5.500000e-01 5.000000e-02 5.000000e-02 4.290000e-01 5.440588e-02 5.440588e-02
+6.500000e-01 5.000000e-02 5.000000e-02 3.310000e-01 4.850773e-02 4.850773e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d50-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d50-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t50
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.605000e+00 1.728034e-01 1.728034e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.435000e+00 6.140033e-02 6.140033e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.146000e+00 3.956008e-02 3.956008e-02
+3.500000e-01 5.000000e-02 5.000000e-02 6.750000e-01 4.472136e-02 4.472136e-02
+4.500000e-01 5.000000e-02 5.000000e-02 4.820000e-01 4.341659e-02 4.341659e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.780000e-01 4.418144e-02 4.418144e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.780000e-01 3.911521e-02 3.911521e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d51-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d51-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t51
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.886000e+00 1.522005e-01 1.522005e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.301000e+00 6.146544e-02 6.146544e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.113000e+00 4.648656e-02 4.648656e-02
+3.500000e-01 5.000000e-02 5.000000e-02 6.580000e-01 4.317407e-02 4.317407e-02
+4.500000e-01 5.000000e-02 5.000000e-02 4.530000e-01 3.962323e-02 3.962323e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.430000e-01 3.832754e-02 3.832754e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.470000e-01 3.324154e-02 3.324154e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d52-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d52-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t52
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.155000e+00 1.408900e-01 1.408900e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.246000e+00 7.066116e-02 7.066116e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.018000e+00 5.069517e-02 5.069517e-02
+3.500000e-01 5.000000e-02 5.000000e-02 6.080000e-01 4.049691e-02 4.049691e-02
+4.500000e-01 5.000000e-02 5.000000e-02 4.290000e-01 3.710795e-02 3.710795e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.140000e-01 3.471311e-02 3.471311e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.290000e-01 3.041381e-02 3.041381e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d53-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d53-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t53
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.403000e+00 1.166619e-01 1.166619e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.156000e+00 6.768309e-02 6.768309e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.870000e-01 5.099020e-02 5.099020e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.660000e-01 3.551056e-02 3.551056e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.810000e-01 3.125700e-02 3.125700e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.910000e-01 3.114482e-02 3.114482e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.160000e-01 2.807134e-02 2.807134e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d54-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d54-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t54
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.593000e+00 1.072241e-01 1.072241e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.112000e+00 7.227724e-02 7.227724e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.310000e-01 5.217279e-02 5.217279e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.330000e-01 3.373426e-02 3.373426e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.600000e-01 2.844293e-02 2.844293e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.720000e-01 2.828427e-02 2.828427e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.980000e-01 2.507987e-02 2.507987e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d55-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d55-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t55
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.728000e+00 9.585406e-02 9.585406e-02
+1.500000e-01 5.000000e-02 5.000000e-02 2.044000e+00 7.640026e-02 7.640026e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.160000e-01 5.608921e-02 5.608921e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.300000e-01 3.395585e-02 3.395585e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.430000e-01 2.647640e-02 2.647640e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.520000e-01 2.517936e-02 2.517936e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.880000e-01 2.308679e-02 2.308679e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d56-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d56-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t56
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.989000e+00 8.228001e-02 8.228001e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.959000e+00 7.694154e-02 7.694154e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.620000e-01 5.643580e-02 5.643580e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.770000e-01 3.125700e-02 3.125700e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.120000e-01 2.418677e-02 2.418677e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.300000e-01 2.209072e-02 2.209072e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.710000e-01 2.002498e-02 2.002498e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d57-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d57-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t57
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.113000e+00 7.400000e-02 7.400000e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.901000e+00 8.006248e-02 8.006248e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.420000e-01 5.953990e-02 5.953990e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.730000e-01 3.337664e-02 3.337664e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.020000e-01 2.220360e-02 2.220360e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.140000e-01 2.009975e-02 2.009975e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.550000e-01 1.802776e-02 1.802776e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d58-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d58-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t58
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.303000e+00 6.964194e-02 6.964194e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.825000e+00 8.203658e-02 8.203658e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.000000e-01 6.040695e-02 6.040695e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.410000e-01 3.337664e-02 3.337664e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.850000e-01 2.121320e-02 2.121320e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.010000e-01 1.811077e-02 1.811077e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.450000e-01 1.603122e-02 1.603122e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d59-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d59-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t59
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.401000e+00 6.842514e-02 6.842514e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.782000e+00 8.336066e-02 8.336066e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.840000e-01 6.264982e-02 6.264982e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.300000e-01 3.452535e-02 3.452535e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.760000e-01 2.039608e-02 2.039608e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.910000e-01 1.711724e-02 1.711724e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.370000e-01 1.503330e-02 1.503330e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d60-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d60-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t60
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.638000e+00 6.574192e-02 6.574192e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.693000e+00 8.220097e-02 8.220097e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.310000e-01 6.152235e-02 6.152235e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.930000e-01 3.337664e-02 3.337664e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.470000e-01 1.824829e-02 1.824829e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.730000e-01 1.513275e-02 1.513275e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.250000e-01 1.303840e-02 1.303840e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d61-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d61-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t61
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.788000e+00 6.933974e-02 6.933974e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.621000e+00 8.319856e-02 8.319856e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.000000e-01 6.280127e-02 6.280127e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.790000e-01 3.471311e-02 3.471311e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.370000e-01 2.334524e-02 2.334524e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.600000e-01 1.414214e-02 1.414214e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.150000e-01 1.216553e-02 1.216553e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d62-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d62-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t62
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.960000e+00 6.774216e-02 6.774216e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.547000e+00 8.178631e-02 8.178631e-02
+2.500000e-01 5.000000e-02 5.000000e-02 6.690000e-01 6.363961e-02 6.363961e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.540000e-01 3.452535e-02 3.452535e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.190000e-01 1.726268e-02 1.726268e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.470000e-01 1.216553e-02 1.216553e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.030000e-01 1.004988e-02 1.004988e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d63-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d63-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t63
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.119000e+00 7.683749e-02 7.683749e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.490000e+00 8.352245e-02 8.352245e-02
+2.500000e-01 5.000000e-02 5.000000e-02 6.130000e-01 6.413267e-02 6.413267e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.430000e-01 3.785499e-02 3.785499e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.110000e-01 1.868154e-02 1.868154e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.330000e-01 1.140175e-02 1.140175e-02
+6.500000e-01 5.000000e-02 5.000000e-02 9.200000e-02 9.219544e-03 9.219544e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d64-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d64-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t64
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.496000e+00 1.360331e-01 1.360331e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.254000e+00 8.560374e-02 8.560374e-02
+2.500000e-01 5.000000e-02 5.000000e-02 5.770000e-01 7.117584e-02 7.117584e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.080000e-01 4.085340e-02 4.085340e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.810000e-01 1.972308e-02 1.972308e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.100000e-01 1.166190e-02 1.166190e-02
+6.500000e-01 5.000000e-02 5.000000e-02 7.400000e-02 7.615773e-03 7.615773e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d65-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d65-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t65
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.842000e+00 2.172763e-01 2.172763e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.104000e+00 1.277693e-01 1.277693e-01
+2.500000e-01 5.000000e-02 5.000000e-02 5.390000e-01 8.324062e-02 8.324062e-02
+3.500000e-01 5.000000e-02 5.000000e-02 2.210000e-01 3.640055e-02 3.640055e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.240000e-01 1.780449e-02 1.780449e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.010000e-01 1.697056e-02 1.697056e-02
+6.500000e-01 5.000000e-02 5.000000e-02 6.800000e-02 1.063015e-02 1.063015e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d66-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d66-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t66
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 8.085000e+00 4.038378e-01 4.038378e-01
+1.500000e-01 5.000000e-02 5.000000e-02 9.570000e-01 2.066495e-01 2.066495e-01
+2.500000e-01 5.000000e-02 5.000000e-02 4.240000e-01 1.131592e-01 1.131592e-01
+3.500000e-01 5.000000e-02 5.000000e-02 2.270000e-01 5.381450e-02 5.381450e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.510000e-01 3.635932e-02 3.635932e-02
+5.500000e-01 5.000000e-02 5.000000e-02 9.700000e-02 2.549510e-02 2.549510e-02
+6.500000e-01 5.000000e-02 5.000000e-02 6.000000e-02 1.523155e-02 1.523155e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d67-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d67-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t67
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 1.698000e+00 2.222724e-01 2.222724e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.288000e+00 1.305067e-01 1.305067e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.843000e+00 9.176056e-02 9.176056e-02
+3.500000e-01 5.000000e-02 5.000000e-02 1.414000e+00 1.026109e-01 1.026109e-01
+4.500000e-01 5.000000e-02 5.000000e-02 1.188000e+00 7.665507e-02 7.665507e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.010000e+00 1.489732e-01 1.489732e-01
+6.500000e-01 5.000000e-02 5.000000e-02 5.600000e-01 1.164302e-01 1.164302e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d68-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d68-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t68
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 2.210000e+00 2.413732e-01 2.413732e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.509000e+00 1.238911e-01 1.238911e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.751000e+00 8.676981e-02 8.676981e-02
+3.500000e-01 5.000000e-02 5.000000e-02 1.216000e+00 9.269844e-02 9.269844e-02
+4.500000e-01 5.000000e-02 5.000000e-02 9.740000e-01 9.945853e-02 9.945853e-02
+5.500000e-01 5.000000e-02 5.000000e-02 8.340000e-01 1.210165e-01 1.210165e-01
+6.500000e-01 5.000000e-02 5.000000e-02 5.060000e-01 1.001299e-01 1.001299e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d69-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d69-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t69
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 2.742000e+00 2.290196e-01 2.290196e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.564000e+00 1.172007e-01 1.172007e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.594000e+00 1.211156e-01 1.211156e-01
+3.500000e-01 5.000000e-02 5.000000e-02 1.080000e+00 8.616264e-02 8.616264e-02
+4.500000e-01 5.000000e-02 5.000000e-02 8.550000e-01 7.291776e-02 7.291776e-02
+5.500000e-01 5.000000e-02 5.000000e-02 7.090000e-01 1.004390e-01 1.004390e-01
+6.500000e-01 5.000000e-02 5.000000e-02 4.560000e-01 8.514693e-02 8.514693e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d70-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d70-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t70
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 3.628000e+00 2.226971e-01 2.226971e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.633000e+00 8.285530e-02 8.285530e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.362000e+00 5.110773e-02 5.110773e-02
+3.500000e-01 5.000000e-02 5.000000e-02 8.740000e-01 6.008328e-02 6.008328e-02
+4.500000e-01 5.000000e-02 5.000000e-02 6.480000e-01 5.852350e-02 5.852350e-02
+5.500000e-01 5.000000e-02 5.000000e-02 5.050000e-01 6.806614e-02 6.806614e-02
+6.500000e-01 5.000000e-02 5.000000e-02 3.500000e-01 5.984146e-02 5.984146e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d71-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d71-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t71
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.474000e+00 2.319483e-01 2.319483e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.332000e+00 8.072174e-02 8.072174e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.243000e+00 5.869412e-02 5.869412e-02
+3.500000e-01 5.000000e-02 5.000000e-02 7.150000e-01 5.162364e-02 5.162364e-02
+4.500000e-01 5.000000e-02 5.000000e-02 5.010000e-01 5.220153e-02 5.220153e-02
+5.500000e-01 5.000000e-02 5.000000e-02 4.300000e-01 5.632051e-02 5.632051e-02
+6.500000e-01 5.000000e-02 5.000000e-02 3.050000e-01 4.924429e-02 4.924429e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d72-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d72-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t72
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.665000e+00 1.708362e-01 1.708362e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.411000e+00 5.385165e-02 5.385165e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.124000e+00 4.876474e-02 4.876474e-02
+3.500000e-01 5.000000e-02 5.000000e-02 6.770000e-01 4.002499e-02 4.002499e-02
+4.500000e-01 5.000000e-02 5.000000e-02 4.840000e-01 4.949747e-02 4.949747e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.700000e-01 4.527693e-02 4.527693e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.680000e-01 4.011234e-02 4.011234e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d73-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d73-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t73
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.071000e+00 1.559263e-01 1.559263e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.257000e+00 5.470832e-02 5.470832e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.040000e+00 5.059644e-02 5.059644e-02
+3.500000e-01 5.000000e-02 5.000000e-02 6.290000e-01 3.668787e-02 3.668787e-02
+4.500000e-01 5.000000e-02 5.000000e-02 4.240000e-01 4.356604e-02 4.356604e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.360000e-01 3.945884e-02 3.945884e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.430000e-01 3.423449e-02 3.423449e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d74-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d74-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t74
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.315000e+00 1.468605e-01 1.468605e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.189000e+00 6.200806e-02 6.200806e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.900000e-01 5.371220e-02 5.371220e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.760000e-01 3.862642e-02 3.862642e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.850000e-01 3.905125e-02 3.905125e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.200000e-01 3.687818e-02 3.687818e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.250000e-01 3.041381e-02 3.041381e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d75-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d75-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t75
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.590000e+00 1.186802e-01 1.186802e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.077000e+00 5.375872e-02 5.375872e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.500000e-01 5.119570e-02 5.119570e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.500000e-01 3.863936e-02 3.863936e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.590000e-01 3.423449e-02 3.423449e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.750000e-01 3.014963e-02 3.014963e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.990000e-01 2.607681e-02 2.607681e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d76-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d76-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t76
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.814000e+00 1.099318e-01 1.099318e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.968000e+00 5.608030e-02 5.608030e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.050000e-01 5.069517e-02 5.069517e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.140000e-01 3.981206e-02 3.981206e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.500000e-01 3.238827e-02 3.238827e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.590000e-01 2.828427e-02 2.828427e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.910000e-01 2.418677e-02 2.418677e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d77-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d77-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t77
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.964000e+00 9.884331e-02 9.884331e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.960000e+00 6.053924e-02 6.053924e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.520000e-01 4.972927e-02 4.972927e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.890000e-01 4.079216e-02 4.079216e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.240000e-01 2.844293e-02 2.844293e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.380000e-01 2.531798e-02 2.531798e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.730000e-01 2.109502e-02 2.109502e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d78-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d78-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t78
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.264000e+00 8.411896e-02 8.411896e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.812000e+00 5.772348e-02 5.772348e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.150000e-01 4.785394e-02 4.785394e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.460000e-01 3.931921e-02 3.931921e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.930000e-01 2.517936e-02 2.517936e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.130000e-01 2.209072e-02 2.209072e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.580000e-01 1.802776e-02 1.802776e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d79-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d79-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t79
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.421000e+00 7.539231e-02 7.539231e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.761000e+00 6.087693e-02 6.087693e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.690000e-01 4.687217e-02 4.687217e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.290000e-01 4.031129e-02 4.031129e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.740000e-01 2.517936e-02 2.517936e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.000000e-01 2.009975e-02 2.009975e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.450000e-01 1.603122e-02 1.603122e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d80-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d80-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t80
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.620000e+00 7.261543e-02 7.261543e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.668000e+00 6.184658e-02 6.184658e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.350000e-01 4.687217e-02 4.687217e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.030000e-01 3.931921e-02 3.931921e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.600000e-01 2.517936e-02 2.517936e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.820000e-01 1.811077e-02 1.811077e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.330000e-01 1.403567e-02 1.403567e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d81-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d81-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t81
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.764000e+00 7.430343e-02 7.430343e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.608000e+00 6.389053e-02 6.389053e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.130000e-01 4.729693e-02 4.729693e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.860000e-01 3.962323e-02 3.962323e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.450000e-01 2.433105e-02 2.433105e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.650000e-01 1.612452e-02 1.612452e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.200000e-01 1.315295e-02 1.315295e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d82-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d82-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t82
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.984000e+00 7.244998e-02 7.244998e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.531000e+00 6.236185e-02 6.236185e-02
+2.500000e-01 5.000000e-02 5.000000e-02 6.460000e-01 4.491102e-02 4.491102e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.530000e-01 3.634556e-02 3.634556e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.220000e-01 2.319483e-02 2.319483e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.540000e-01 1.513275e-02 1.513275e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.100000e-01 1.104536e-02 1.104536e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d83-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d83-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t83
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.098000e+00 7.738863e-02 7.738863e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.500000e+00 6.555151e-02 6.555151e-02
+2.500000e-01 5.000000e-02 5.000000e-02 6.090000e-01 4.464303e-02 4.464303e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.410000e-01 3.569314e-02 3.569314e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.080000e-01 2.236068e-02 2.236068e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.430000e-01 1.627882e-02 1.627882e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.010000e-01 1.118034e-02 1.118034e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d84-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d84-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t84
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.357000e+00 1.017693e-01 1.017693e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.343000e+00 6.390618e-02 6.390618e-02
+2.500000e-01 5.000000e-02 5.000000e-02 5.840000e-01 4.535416e-02 4.535416e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.050000e-01 3.255764e-02 3.255764e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.890000e-01 2.022375e-02 2.022375e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.290000e-01 1.414214e-02 1.414214e-02
+6.500000e-01 5.000000e-02 5.000000e-02 9.200000e-02 1.004988e-02 1.004988e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d85-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d85-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t85
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.554000e+00 8.761849e-02 8.761849e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.276000e+00 6.003332e-02 6.003332e-02
+2.500000e-01 5.000000e-02 5.000000e-02 5.310000e-01 4.933559e-02 4.933559e-02
+3.500000e-01 5.000000e-02 5.000000e-02 2.780000e-01 2.912044e-02 2.912044e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.670000e-01 1.843909e-02 1.843909e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.170000e-01 1.431782e-02 1.431782e-02
+6.500000e-01 5.000000e-02 5.000000e-02 7.700000e-02 8.246211e-03 8.246211e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d86-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d86-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t86
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.898000e+00 1.572578e-01 1.572578e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.075000e+00 8.781799e-02 8.781799e-02
+2.500000e-01 5.000000e-02 5.000000e-02 4.630000e-01 5.907622e-02 5.907622e-02
+3.500000e-01 5.000000e-02 5.000000e-02 2.680000e-01 3.623534e-02 3.623534e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.400000e-01 1.802776e-02 1.802776e-02
+5.500000e-01 5.000000e-02 5.000000e-02 9.400000e-02 1.341641e-02 1.341641e-02
+6.500000e-01 5.000000e-02 5.000000e-02 6.200000e-02 7.615773e-03 7.615773e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d87-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d87-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t87
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 8.134000e+00 3.292188e-01 3.292188e-01
+1.500000e-01 5.000000e-02 5.000000e-02 9.520000e-01 1.649758e-01 1.649758e-01
+2.500000e-01 5.000000e-02 5.000000e-02 4.790000e-01 1.126455e-01 1.126455e-01
+3.500000e-01 5.000000e-02 5.000000e-02 2.110000e-01 4.527693e-02 4.527693e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.100000e-01 2.343075e-02 2.343075e-02
+5.500000e-01 5.000000e-02 5.000000e-02 5.700000e-02 1.000000e-02 1.000000e-02
+6.500000e-01 5.000000e-02 5.000000e-02 5.700000e-02 1.131371e-02 1.131371e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d88-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d88-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t88
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 1.673000e+00 1.471224e-01 1.471224e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.280000e+00 1.479628e-01 1.479628e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.863000e+00 1.465367e-01 1.465367e-01
+3.500000e-01 5.000000e-02 5.000000e-02 1.446000e+00 1.516080e-01 1.516080e-01
+4.500000e-01 5.000000e-02 5.000000e-02 1.159000e+00 1.348073e-01 1.348073e-01
+5.500000e-01 5.000000e-02 5.000000e-02 1.037000e+00 1.051190e-01 1.051190e-01
+6.500000e-01 5.000000e-02 5.000000e-02 5.420000e-01 6.413267e-02 6.413267e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d89-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d89-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t89
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 2.156000e+00 1.896128e-01 1.896128e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.521000e+00 1.243382e-01 1.243382e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.723000e+00 1.086876e-01 1.086876e-01
+3.500000e-01 5.000000e-02 5.000000e-02 1.276000e+00 1.120089e-01 1.120089e-01
+4.500000e-01 5.000000e-02 5.000000e-02 9.900000e-01 1.129292e-01 1.129292e-01
+5.500000e-01 5.000000e-02 5.000000e-02 8.150000e-01 7.038466e-02 7.038466e-02
+6.500000e-01 5.000000e-02 5.000000e-02 5.200000e-01 8.612201e-02 8.612201e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d90-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d90-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t90
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 2.733000e+00 1.467787e-01 1.467787e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.541000e+00 1.952255e-01 1.952255e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.600000e+00 7.387828e-02 7.387828e-02
+3.500000e-01 5.000000e-02 5.000000e-02 1.102000e+00 8.486460e-02 8.486460e-02
+4.500000e-01 5.000000e-02 5.000000e-02 8.470000e-01 1.069018e-01 1.069018e-01
+5.500000e-01 5.000000e-02 5.000000e-02 7.370000e-01 8.668333e-02 8.668333e-02
+6.500000e-01 5.000000e-02 5.000000e-02 4.400000e-01 7.844743e-02 7.844743e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d91-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d91-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t91
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 3.726000e+00 1.779241e-01 1.779241e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.671000e+00 8.598256e-02 8.598256e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.281000e+00 4.622770e-02 4.622770e-02
+3.500000e-01 5.000000e-02 5.000000e-02 8.080000e-01 5.147815e-02 5.147815e-02
+4.500000e-01 5.000000e-02 5.000000e-02 6.350000e-01 6.306346e-02 6.306346e-02
+5.500000e-01 5.000000e-02 5.000000e-02 5.220000e-01 6.824954e-02 6.824954e-02
+6.500000e-01 5.000000e-02 5.000000e-02 3.570000e-01 6.859300e-02 6.859300e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d92-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d92-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t92
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.253000e+00 2.068139e-01 2.068139e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.485000e+00 1.010445e-01 1.010445e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.179000e+00 5.798276e-02 5.798276e-02
+3.500000e-01 5.000000e-02 5.000000e-02 7.970000e-01 5.879626e-02 5.879626e-02
+4.500000e-01 5.000000e-02 5.000000e-02 5.390000e-01 5.412947e-02 5.412947e-02
+5.500000e-01 5.000000e-02 5.000000e-02 4.350000e-01 6.198387e-02 6.198387e-02
+6.500000e-01 5.000000e-02 5.000000e-02 3.130000e-01 6.236986e-02 6.236986e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d93-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d93-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t93
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.743000e+00 1.646845e-01 1.646845e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.344000e+00 6.592420e-02 6.592420e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.130000e+00 3.224903e-02 3.224903e-02
+3.500000e-01 5.000000e-02 5.000000e-02 6.650000e-01 3.860052e-02 3.860052e-02
+4.500000e-01 5.000000e-02 5.000000e-02 4.750000e-01 4.257934e-02 4.257934e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.790000e-01 5.234501e-02 5.234501e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.640000e-01 5.115662e-02 5.115662e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d94-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d94-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t94
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.174000e+00 1.638658e-01 1.638658e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.173000e+00 6.860029e-02 6.860029e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.040000e+00 3.330165e-02 3.330165e-02
+3.500000e-01 5.000000e-02 5.000000e-02 6.110000e-01 3.769615e-02 3.769615e-02
+4.500000e-01 5.000000e-02 5.000000e-02 4.240000e-01 3.710795e-02 3.710795e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.370000e-01 4.652956e-02 4.652956e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.410000e-01 4.627094e-02 4.627094e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d95-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d95-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t95
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.585000e+00 1.664121e-01 1.664121e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.999000e+00 7.451845e-02 7.451845e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.680000e-01 3.780212e-02 3.780212e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.430000e-01 3.623534e-02 3.623534e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.920000e-01 3.383785e-02 3.383785e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.020000e-01 4.177320e-02 4.177320e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.120000e-01 3.945884e-02 3.945884e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d96-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d96-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t96
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.741000e+00 1.377861e-01 1.377861e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.007000e+00 6.519202e-02 6.519202e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.070000e-01 2.778489e-02 2.778489e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.250000e-01 3.298485e-02 3.298485e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.520000e-01 2.844293e-02 2.844293e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.680000e-01 3.522783e-02 3.522783e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.980000e-01 3.512834e-02 3.512834e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d97-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d97-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t97
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.974000e+00 1.309733e-01 1.309733e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.909000e+00 6.754258e-02 6.754258e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.520000e-01 3.023243e-02 3.023243e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.870000e-01 3.162278e-02 3.162278e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.420000e-01 2.765863e-02 2.765863e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.540000e-01 3.324154e-02 3.324154e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.810000e-01 3.114482e-02 3.114482e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d98-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d98-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t98
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.158000e+00 1.196202e-01 1.196202e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.836000e+00 6.931811e-02 6.931811e-02
+2.500000e-01 5.000000e-02 5.000000e-02 8.070000e-01 3.106445e-02 3.106445e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.750000e-01 3.195309e-02 3.195309e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.120000e-01 2.473863e-02 2.473863e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.400000e-01 3.026549e-02 3.026549e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.720000e-01 2.915476e-02 2.915476e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d99-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d99-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t99
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.365000e+00 1.009604e-01 1.009604e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.768000e+00 6.676077e-02 6.676077e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.740000e-01 2.915476e-02 2.915476e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.330000e-01 2.863564e-02 2.863564e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.900000e-01 2.236068e-02 2.236068e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.150000e-01 2.517936e-02 2.517936e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.550000e-01 2.507987e-02 2.507987e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d100-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d100-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t100
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.598000e+00 9.047652e-02 9.047652e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.671000e+00 6.640783e-02 6.640783e-02
+2.500000e-01 5.000000e-02 5.000000e-02 7.200000e-01 2.823119e-02 2.823119e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.040000e-01 2.692582e-02 2.692582e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.670000e-01 2.039608e-02 2.039608e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.930000e-01 2.220360e-02 2.220360e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.460000e-01 2.209072e-02 2.209072e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d101-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d101-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t101
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.884000e+00 8.486460e-02 8.486460e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.544000e+00 6.451356e-02 6.451356e-02
+2.500000e-01 5.000000e-02 5.000000e-02 6.560000e-01 3.289377e-02 3.289377e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.700000e-01 3.471311e-02 3.471311e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.430000e-01 1.941649e-02 1.941649e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.750000e-01 1.910497e-02 1.910497e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.280000e-01 1.910497e-02 1.910497e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d102-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d102-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t102
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.002000e+00 9.484725e-02 9.484725e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.512000e+00 6.711930e-02 6.711930e-02
+2.500000e-01 5.000000e-02 5.000000e-02 6.220000e-01 3.769615e-02 3.769615e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.540000e-01 3.008322e-02 3.008322e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.270000e-01 1.964688e-02 1.964688e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.680000e-01 1.726268e-02 1.726268e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.160000e-01 1.711724e-02 1.711724e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d103-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d103-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t103
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.160000e+00 1.019510e-01 1.019510e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.447000e+00 7.130919e-02 7.130919e-02
+2.500000e-01 5.000000e-02 5.000000e-02 5.970000e-01 2.778489e-02 2.778489e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.220000e-01 2.213594e-02 2.213594e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.200000e-01 1.964688e-02 1.964688e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.490000e-01 1.627882e-02 1.627882e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.070000e-01 1.513275e-02 1.513275e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d104-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d104-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t104
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.278000e+00 1.162755e-01 1.162755e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.392000e+00 6.767570e-02 6.767570e-02
+2.500000e-01 5.000000e-02 5.000000e-02 5.690000e-01 2.983287e-02 2.983287e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.080000e-01 2.282542e-02 2.282542e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.070000e-01 1.897367e-02 1.897367e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.470000e-01 1.843909e-02 1.843909e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.000000e-01 1.513275e-02 1.513275e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d105-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d105-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t105
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.390000e+00 1.257179e-01 1.257179e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.343000e+00 7.717513e-02 7.717513e-02
+2.500000e-01 5.000000e-02 5.000000e-02 5.470000e-01 3.047950e-02 3.047950e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.030000e-01 2.109502e-02 2.109502e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.950000e-01 1.897367e-02 1.897367e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.280000e-01 1.726268e-02 1.726268e-02
+6.500000e-01 5.000000e-02 5.000000e-02 9.400000e-02 1.315295e-02 1.315295e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d106-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d106-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t106
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.646000e+00 1.888280e-01 1.888280e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.268000e+00 1.004988e-01 1.004988e-01
+2.500000e-01 5.000000e-02 5.000000e-02 4.240000e-01 3.820995e-02 3.820995e-02
+3.500000e-01 5.000000e-02 5.000000e-02 2.870000e-01 2.920616e-02 2.920616e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.810000e-01 2.195450e-02 2.195450e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.160000e-01 2.158703e-02 2.158703e-02
+6.500000e-01 5.000000e-02 5.000000e-02 7.800000e-02 1.236932e-02 1.236932e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d107-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d107-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t107
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 1.728000e+00 2.392823e-01 2.392823e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.390000e+00 2.020322e-01 2.020322e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.809000e+00 1.104943e-01 1.104943e-01
+3.500000e-01 5.000000e-02 5.000000e-02 1.438000e+00 2.007312e-01 2.007312e-01
+4.500000e-01 5.000000e-02 5.000000e-02 1.129000e+00 1.366931e-01 1.366931e-01
+5.500000e-01 5.000000e-02 5.000000e-02 9.380000e-01 1.369452e-01 1.369452e-01
+6.500000e-01 5.000000e-02 5.000000e-02 5.680000e-01 1.098954e-01 1.098954e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d108-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d108-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t108
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 2.518000e+00 2.616964e-01 2.616964e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.506000e+00 1.519539e-01 1.519539e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.595000e+00 9.143850e-02 9.143850e-02
+3.500000e-01 5.000000e-02 5.000000e-02 1.198000e+00 1.191008e-01 1.191008e-01
+4.500000e-01 5.000000e-02 5.000000e-02 9.840000e-01 1.395600e-01 1.395600e-01
+5.500000e-01 5.000000e-02 5.000000e-02 7.380000e-01 1.155206e-01 1.155206e-01
+6.500000e-01 5.000000e-02 5.000000e-02 4.610000e-01 7.615773e-02 7.615773e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d109-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d109-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t109
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 3.043000e+00 2.016928e-01 2.016928e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.548000e+00 1.038123e-01 1.038123e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.558000e+00 9.761660e-02 9.761660e-02
+3.500000e-01 5.000000e-02 5.000000e-02 9.900000e-01 1.281601e-01 1.281601e-01
+4.500000e-01 5.000000e-02 5.000000e-02 8.120000e-01 6.762396e-02 6.762396e-02
+5.500000e-01 5.000000e-02 5.000000e-02 6.280000e-01 1.002846e-01 1.002846e-01
+6.500000e-01 5.000000e-02 5.000000e-02 4.200000e-01 7.116881e-02 7.116881e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d110-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d110-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t110
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 3.994000e+00 1.759659e-01 1.759659e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.562000e+00 1.048046e-01 1.048046e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.336000e+00 6.902898e-02 6.902898e-02
+3.500000e-01 5.000000e-02 5.000000e-02 7.920000e-01 6.911584e-02 6.911584e-02
+4.500000e-01 5.000000e-02 5.000000e-02 5.760000e-01 5.923681e-02 5.923681e-02
+5.500000e-01 5.000000e-02 5.000000e-02 4.420000e-01 6.649060e-02 6.649060e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.960000e-01 4.785394e-02 4.785394e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d111-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d111-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t111
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 4.365000e+00 1.835048e-01 1.835048e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.492000e+00 1.467276e-01 1.467276e-01
+2.500000e-01 5.000000e-02 5.000000e-02 1.223000e+00 8.595929e-02 8.595929e-02
+3.500000e-01 5.000000e-02 5.000000e-02 6.810000e-01 4.957822e-02 4.957822e-02
+4.500000e-01 5.000000e-02 5.000000e-02 5.690000e-01 5.280152e-02 5.280152e-02
+5.500000e-01 5.000000e-02 5.000000e-02 4.040000e-01 5.977458e-02 5.977458e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.660000e-01 4.272002e-02 4.272002e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d112-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d112-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t112
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.137000e+00 1.184736e-01 1.184736e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.244000e+00 9.219544e-02 9.219544e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.060000e+00 4.517743e-02 4.517743e-02
+3.500000e-01 5.000000e-02 5.000000e-02 6.070000e-01 3.511410e-02 3.511410e-02
+4.500000e-01 5.000000e-02 5.000000e-02 4.120000e-01 3.298485e-02 3.298485e-02
+5.500000e-01 5.000000e-02 5.000000e-02 3.120000e-01 4.229657e-02 4.229657e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.270000e-01 3.423449e-02 3.423449e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d113-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d113-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t113
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.414000e+00 1.179915e-01 1.179915e-01
+1.500000e-01 5.000000e-02 5.000000e-02 2.285000e+00 1.140570e-01 1.140570e-01
+2.500000e-01 5.000000e-02 5.000000e-02 9.360000e-01 4.801042e-02 4.801042e-02
+3.500000e-01 5.000000e-02 5.000000e-02 5.150000e-01 3.443835e-02 3.443835e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.690000e-01 3.162278e-02 3.162278e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.760000e-01 3.649658e-02 3.649658e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.040000e-01 3.026549e-02 3.026549e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d114-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d114-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t114
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.870000e+00 1.299577e-01 1.299577e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.977000e+00 1.213796e-01 1.213796e-01
+2.500000e-01 5.000000e-02 5.000000e-02 8.850000e-01 5.586591e-02 5.586591e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.960000e-01 3.966106e-02 3.966106e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.310000e-01 3.130495e-02 3.130495e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.560000e-01 3.324154e-02 3.324154e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.850000e-01 2.789265e-02 2.789265e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d115-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d115-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t115
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 5.999000e+00 1.058489e-01 1.058489e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.963000e+00 1.069766e-01 1.069766e-01
+2.500000e-01 5.000000e-02 5.000000e-02 8.500000e-01 4.518849e-02 4.518849e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.790000e-01 3.700000e-02 3.700000e-02
+4.500000e-01 5.000000e-02 5.000000e-02 3.070000e-01 2.765863e-02 2.765863e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.350000e-01 2.927456e-02 2.927456e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.670000e-01 2.517936e-02 2.517936e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d116-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d116-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t116
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.270000e+00 1.118258e-01 1.118258e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.883000e+00 1.136354e-01 1.136354e-01
+2.500000e-01 5.000000e-02 5.000000e-02 7.830000e-01 4.701064e-02 4.701064e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.280000e-01 3.511410e-02 3.511410e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.770000e-01 2.596151e-02 2.596151e-02
+5.500000e-01 5.000000e-02 5.000000e-02 2.060000e-01 2.433105e-02 2.433105e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.540000e-01 2.319483e-02 2.319483e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d117-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d117-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t117
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.441000e+00 1.171708e-01 1.171708e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.766000e+00 1.162755e-01 1.162755e-01
+2.500000e-01 5.000000e-02 5.000000e-02 7.500000e-01 4.887740e-02 4.887740e-02
+3.500000e-01 5.000000e-02 5.000000e-02 4.360000e-01 3.676955e-02 3.676955e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.670000e-01 2.529822e-02 2.529822e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.970000e-01 2.334524e-02 2.334524e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.430000e-01 2.121320e-02 2.121320e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d118-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d118-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t118
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.665000e+00 1.215648e-01 1.215648e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.712000e+00 1.167604e-01 1.167604e-01
+2.500000e-01 5.000000e-02 5.000000e-02 6.910000e-01 4.365776e-02 4.365776e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.750000e-01 3.132092e-02 3.132092e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.520000e-01 2.376973e-02 2.376973e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.770000e-01 2.022375e-02 2.022375e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.280000e-01 1.910497e-02 1.910497e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d119-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d119-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t119
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 6.916000e+00 1.394633e-01 1.394633e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.564000e+00 1.189033e-01 1.189033e-01
+2.500000e-01 5.000000e-02 5.000000e-02 6.680000e-01 4.569464e-02 4.569464e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.490000e-01 2.846050e-02 2.846050e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.240000e-01 2.158703e-02 2.158703e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.620000e-01 1.923538e-02 1.923538e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.170000e-01 1.811077e-02 1.811077e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d120-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d120-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t120
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.046000e+00 1.557081e-01 1.557081e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.579000e+00 1.309198e-01 1.309198e-01
+2.500000e-01 5.000000e-02 5.000000e-02 5.910000e-01 4.204759e-02 4.204759e-02
+3.500000e-01 5.000000e-02 5.000000e-02 3.270000e-01 2.600000e-02 2.600000e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.080000e-01 2.061553e-02 2.061553e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.450000e-01 1.726268e-02 1.726268e-02
+6.500000e-01 5.000000e-02 5.000000e-02 1.040000e-01 1.711724e-02 1.711724e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d121-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d121-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t121
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.532000e+00 1.781600e-01 1.781600e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.267000e+00 1.171708e-01 1.171708e-01
+2.500000e-01 5.000000e-02 5.000000e-02 5.150000e-01 4.104875e-02 4.104875e-02
+3.500000e-01 5.000000e-02 5.000000e-02 2.840000e-01 2.220360e-02 2.220360e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.860000e-01 1.931321e-02 1.931321e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.240000e-01 1.552417e-02 1.552417e-02
+6.500000e-01 5.000000e-02 5.000000e-02 9.200000e-02 1.513275e-02 1.513275e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d122-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d122-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t122
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.605000e+00 1.858521e-01 1.858521e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.260000e+00 1.220901e-01 1.220901e-01
+2.500000e-01 5.000000e-02 5.000000e-02 4.960000e-01 5.769749e-02 5.769749e-02
+3.500000e-01 5.000000e-02 5.000000e-02 2.670000e-01 2.109502e-02 2.109502e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.710000e-01 1.746425e-02 1.746425e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.170000e-01 1.529706e-02 1.529706e-02
+6.500000e-01 5.000000e-02 5.000000e-02 8.400000e-02 1.513275e-02 1.513275e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d123-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d123-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t123
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.582000e+00 1.938298e-01 1.938298e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.295000e+00 1.768191e-01 1.768191e-01
+2.500000e-01 5.000000e-02 5.000000e-02 5.240000e-01 7.710383e-02 7.710383e-02
+3.500000e-01 5.000000e-02 5.000000e-02 2.400000e-01 3.080584e-02 3.080584e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.720000e-01 1.972308e-02 1.972308e-02
+5.500000e-01 5.000000e-02 5.000000e-02 1.130000e-01 1.615549e-02 1.615549e-02
+6.500000e-01 5.000000e-02 5.000000e-02 7.400000e-02 1.431782e-02 1.431782e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d124-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d124-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t124
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 7.774000e+00 1.925097e-01 1.925097e-01
+1.500000e-01 5.000000e-02 5.000000e-02 1.253000e+00 1.896128e-01 1.896128e-01
+2.500000e-01 5.000000e-02 5.000000e-02 4.500000e-01 7.310951e-02 7.310951e-02
+3.500000e-01 5.000000e-02 5.000000e-02 2.160000e-01 2.624881e-02 2.624881e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.470000e-01 2.220360e-02 2.220360e-02
+5.500000e-01 5.000000e-02 5.000000e-02 9.200000e-02 1.431782e-02 1.431782e-02
+6.500000e-01 5.000000e-02 5.000000e-02 6.900000e-02 1.456022e-02 1.456022e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d125-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d125-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t125
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-02 5.000000e-02 5.000000e-02 8.609000e+00 2.229282e-01 2.229282e-01
+1.500000e-01 5.000000e-02 5.000000e-02 7.710000e-01 2.262941e-01 2.262941e-01
+2.500000e-01 5.000000e-02 5.000000e-02 2.510000e-01 6.801470e-02 6.801470e-02
+3.500000e-01 5.000000e-02 5.000000e-02 1.340000e-01 2.580698e-02 2.580698e-02
+4.500000e-01 5.000000e-02 5.000000e-02 9.400000e-02 1.664332e-02 1.664332e-02
+5.500000e-01 5.000000e-02 5.000000e-02 8.500000e-02 2.193171e-02 2.193171e-02
+6.500000e-01 5.000000e-02 5.000000e-02 5.600000e-02 1.526434e-02 1.526434e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d126-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d126-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t126
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.635000e+01 7.450000e+00 7.450000e+00 8.220000e+00 2.607681e-01 2.607681e-01
+7.345000e+01 9.650000e+00 9.650000e+00 9.240000e+00 3.041381e-01 3.041381e-01
+9.570000e+01 1.260000e+01 1.260000e+01 1.014000e+01 3.206244e-01 3.206244e-01
+1.247000e+02 1.640000e+01 1.640000e+01 1.118000e+01 3.601389e-01 3.601389e-01
+1.625000e+02 2.140000e+01 2.140000e+01 1.232000e+01 3.901282e-01 3.901282e-01
+2.117500e+02 2.785000e+01 2.785000e+01 1.345000e+01 3.905125e-01 3.905125e-01
+2.759000e+02 3.630000e+01 3.630000e+01 1.450000e+01 3.905125e-01 3.905125e-01
+3.595000e+02 4.730000e+01 4.730000e+01 1.558000e+01 4.219005e-01 4.219005e-01
+4.684000e+02 6.160000e+01 6.160000e+01 1.652000e+01 4.512206e-01 4.512206e-01
+6.103500e+02 8.035000e+01 8.035000e+01 1.749000e+01 5.277310e-01 5.277310e-01
+7.953500e+02 1.046500e+02 1.046500e+02 1.763000e+01 7.387828e-01 7.387828e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d126-x01-y02
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d126-x01-y02
+Title=doi:10.17182/hepdata.70063.v1/t126
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.635000e+01 7.450000e+00 7.450000e+00 8.220000e+00 2.607681e-01 2.607681e-01
+7.345000e+01 9.650000e+00 9.650000e+00 8.870000e+00 3.337664e-01 3.337664e-01
+9.570000e+01 1.260000e+01 1.260000e+01 9.770000e+00 3.712142e-01 3.712142e-01
+1.247000e+02 1.640000e+01 1.640000e+01 1.056000e+01 4.001250e-01 4.001250e-01
+1.625000e+02 2.140000e+01 2.140000e+01 1.149000e+01 4.301163e-01 4.301163e-01
+2.117500e+02 2.785000e+01 2.785000e+01 1.229000e+01 4.304649e-01 4.304649e-01
+2.759000e+02 3.630000e+01 3.630000e+01 1.308000e+01 4.310452e-01 4.310452e-01
+3.595000e+02 4.730000e+01 4.730000e+01 1.381000e+01 4.638965e-01 4.638965e-01
+4.684000e+02 6.160000e+01 6.160000e+01 1.487000e+01 5.124451e-01 5.124451e-01
+6.103500e+02 8.035000e+01 8.035000e+01 1.552000e+01 6.670832e-01 6.670832e-01
+7.953500e+02 1.046500e+02 1.046500e+02 1.486000e+01 1.355175e+00 1.355175e+00
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d127-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d127-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t127
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.635000e+01 7.450000e+00 7.450000e+00 2.880000e-02 1.711724e-03 1.711724e-03
+7.345000e+01 9.650000e+00 9.650000e+00 2.570000e-02 1.513275e-03 1.513275e-03
+9.570000e+01 1.260000e+01 1.260000e+01 2.250000e-02 1.303840e-03 1.303840e-03
+1.247000e+02 1.640000e+01 1.640000e+01 1.990000e-02 1.204159e-03 1.204159e-03
+1.625000e+02 2.140000e+01 2.140000e+01 1.790000e-02 9.055385e-04 9.055385e-04
+2.117500e+02 2.785000e+01 2.785000e+01 1.600000e-02 7.071068e-04 7.071068e-04
+2.759000e+02 3.630000e+01 3.630000e+01 1.430000e-02 6.082763e-04 6.082763e-04
+3.595000e+02 4.730000e+01 4.730000e+01 1.280000e-02 5.099020e-04 5.099020e-04
+4.684000e+02 6.160000e+01 6.160000e+01 1.110000e-02 5.099020e-04 5.099020e-04
+6.103500e+02 8.035000e+01 8.035000e+01 9.700000e-03 6.708204e-04 6.708204e-04
+7.953500e+02 1.046500e+02 1.046500e+02 8.500000e-03 9.219544e-04 9.219544e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d127-x01-y02
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d127-x01-y02
+Title=doi:10.17182/hepdata.70063.v1/t127
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.635000e+01 7.450000e+00 7.450000e+00 2.740000e-02 1.414214e-03 1.414214e-03
+7.345000e+01 9.650000e+00 9.650000e+00 2.390000e-02 1.140175e-03 1.140175e-03
+9.570000e+01 1.260000e+01 1.260000e+01 2.110000e-02 9.055385e-04 9.055385e-04
+1.247000e+02 1.640000e+01 1.640000e+01 1.840000e-02 8.062258e-04 8.062258e-04
+1.625000e+02 2.140000e+01 2.140000e+01 1.610000e-02 7.071068e-04 7.071068e-04
+2.117500e+02 2.785000e+01 2.785000e+01 1.400000e-02 6.082763e-04 6.082763e-04
+2.759000e+02 3.630000e+01 3.630000e+01 1.220000e-02 6.082763e-04 6.082763e-04
+3.595000e+02 4.730000e+01 4.730000e+01 1.050000e-02 6.082763e-04 6.082763e-04
+4.684000e+02 6.160000e+01 6.160000e+01 9.300000e-03 6.324555e-04 6.324555e-04
+6.103500e+02 8.035000e+01 8.035000e+01 7.700000e-03 8.062258e-04 8.062258e-04
+7.953500e+02 1.046500e+02 1.046500e+02 8.000000e-03 1.555635e-03 1.555635e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2012_I1111014/d128-x01-y01
+IsRef=1
+Path=/REF/CMS_2012_I1111014/d128-x01-y01
+Title=doi:10.17182/hepdata.70063.v1/t128
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.635000e+01 7.450000e+00 7.450000e+00 1.051000e+00 1.835756e-02 1.835756e-02
+7.345000e+01 9.650000e+00 9.650000e+00 1.051000e+00 2.334524e-02 2.334524e-02
+9.570000e+01 1.260000e+01 1.260000e+01 1.046000e+00 1.788854e-02 1.788854e-02
+1.247000e+02 1.640000e+01 1.640000e+01 1.037000e+00 1.612452e-02 1.612452e-02
+1.625000e+02 2.140000e+01 2.140000e+01 1.031000e+00 1.529706e-02 1.529706e-02
+2.117500e+02 2.785000e+01 2.785000e+01 1.030000e+00 1.552417e-02 1.552417e-02
+2.759000e+02 3.630000e+01 3.630000e+01 1.017000e+00 1.118034e-02 1.118034e-02
+3.595000e+02 4.730000e+01 4.730000e+01 1.015000e+00 1.414214e-02 1.414214e-02
+4.684000e+02 6.160000e+01 6.160000e+01 1.024000e+00 2.416609e-02 2.416609e-02
+6.103500e+02 8.035000e+01 8.035000e+01 1.030000e+00 4.805206e-02 4.805206e-02
+END YODA_SCATTER2D
+
diff --git a/analyses/pluginCMS/CMS_2013_I1224539_ZJET.cc b/analyses/pluginCMS/CMS_2013_I1224539_ZJET.cc
--- a/analyses/pluginCMS/CMS_2013_I1224539_ZJET.cc
+++ b/analyses/pluginCMS/CMS_2013_I1224539_ZJET.cc
@@ -1,205 +1,202 @@
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/FastJets.hh"
#include "Rivet/Projections/WFinder.hh"
#include "Rivet/Projections/ZFinder.hh"
#include "fastjet/tools/Filter.hh"
#include "fastjet/tools/Pruner.hh"
namespace Rivet {
-
+
class CMS_2013_I1224539_ZJET : public Analysis {
public:
/// @name Constructors etc.
//@{
/// Constructor
CMS_2013_I1224539_ZJET()
: Analysis("CMS_2013_I1224539_ZJET"),
_filter(fastjet::Filter(fastjet::JetDefinition(fastjet::cambridge_algorithm, 0.3), fastjet::SelectorNHardest(3))),
_trimmer(fastjet::Filter(fastjet::JetDefinition(fastjet::kt_algorithm, 0.2), fastjet::SelectorPtFractionMin(0.03))),
_pruner(fastjet::Pruner(fastjet::cambridge_algorithm, 0.1, 0.5))
{ }
//@}
public:
/// @name Analysis methods
//@{
/// Book histograms and initialise projections before the run
void init() {
FinalState fs(Cuts::abseta < 2.4);
declare(fs, "FS");
// Find Zs with pT > 120 GeV
ZFinder zfinder(fs, Cuts::abseta < 2.4 && Cuts::pT > 30*GeV, PID::ELECTRON, 80*GeV, 100*GeV,
0.2, ZFinder::CLUSTERNODECAY, ZFinder::TRACK);
-
declare(zfinder, "ZFinder");
// Z+jet jet collections
declare(FastJets(zfinder.remainingFinalState(), FastJets::ANTIKT, 0.7), "JetsAK7_zj");
declare(FastJets(zfinder.remainingFinalState(), FastJets::CAM, 0.8), "JetsCA8_zj");
declare(FastJets(zfinder.remainingFinalState(), FastJets::CAM, 1.2), "JetsCA12_zj");
// Histograms
/// @note These are 2D histos rendered into slices
const int zjetsOffset = 28;
for (size_t i = 0; i < N_PT_BINS_vj; ++i ) {
book(_h_ungroomedJetMass_AK7_zj[i] ,zjetsOffset+i+1+0*N_PT_BINS_vj, 1, 1);
book(_h_filteredJetMass_AK7_zj[i] ,zjetsOffset+i+1+1*N_PT_BINS_vj,1,1);
book(_h_trimmedJetMass_AK7_zj[i] ,zjetsOffset+i+1+2*N_PT_BINS_vj,1,1);
book(_h_prunedJetMass_AK7_zj[i] ,zjetsOffset+i+1+3*N_PT_BINS_vj,1,1);
book(_h_prunedJetMass_CA8_zj[i] ,zjetsOffset+i+1+4*N_PT_BINS_vj,1,1);
if (i > 0) book(_h_filteredJetMass_CA12_zj[i] ,zjetsOffset+i+5*N_PT_BINS_vj,1,1);
}
}
bool isBackToBack_zj(const ZFinder& zf, const fastjet::PseudoJet& psjet) {
const FourMomentum& z = zf.bosons()[0].momentum();
const FourMomentum& l1 = zf.constituents()[0].momentum();
const FourMomentum& l2 = zf.constituents()[1].momentum();
/// @todo We should make FourMomentum know how to construct itself from a PseudoJet
const FourMomentum jmom(psjet.e(), psjet.px(), psjet.py(), psjet.pz());
return (deltaPhi(z, jmom) > 2.0 && deltaR(l1, jmom) > 1.0 && deltaR(l2, jmom) > 1.0);
}
// Find the pT histogram bin index for value pt (in GeV), to hack a 2D histogram equivalent
/// @todo Use a YODA axis/finder alg when available
size_t findPtBin(double ptJ) {
const double ptBins_vj[N_PT_BINS_vj+1] = { 125.0, 150.0, 220.0, 300.0, 450.0 };
for (size_t ibin = 0; ibin < N_PT_BINS_vj; ++ibin) {
if (inRange(ptJ, ptBins_vj[ibin], ptBins_vj[ibin+1])) return ibin;
}
return N_PT_BINS_vj;
}
/// Perform the per-event analysis
void analyze(const Event& event) {
const double weight = 1.0;
// Get the Z
const ZFinder& zfinder = apply<ZFinder>(event, "ZFinder");
if (zfinder.bosons().size() != 1) vetoEvent;
const Particle& z = zfinder.bosons()[0];
- if (zfinder.constituents().size() <2) {
- MSG_WARNING("Found a Z with less than 2 constituents.");
- vetoEvent;
+ if (z.constituents().size() < 2) {
+ MSG_WARNING("Found a Z with less than 2 constituents.");
+ vetoEvent;
}
-
- const Particle l1 = zfinder.constituents()[0];
- const Particle l2 = zfinder.constituents()[1];
-
+ const Particle& l1 = z.constituents()[0];
+ const Particle& l2 = z.constituents()[1];
+ MSG_DEBUG(l1.pT() << " " << l2.pT());
+ assert(&l1 != &l2);
// Require a high-pT Z (and constituents)
if (l1.pT() < 30*GeV ) vetoEvent;
if (l2.pT() < 30*GeV ) vetoEvent;
if (z.pT() < 120*GeV) vetoEvent;
// AK7 jets
const PseudoJets& psjetsAK7_zj = apply<FastJets>(event, "JetsAK7_zj").pseudoJetsByPt(50.0*GeV);
-
-
if (!psjetsAK7_zj.empty()) {
// Get the leading jet and make sure it's back-to-back with the Z
const fastjet::PseudoJet& j0 = psjetsAK7_zj[0];
if (isBackToBack_zj(zfinder, j0)) {
const size_t njetBin = findPtBin(j0.pt()/GeV);
if (njetBin < N_PT_BINS_vj) {
fastjet::PseudoJet filtered0 = _filter(j0);
fastjet::PseudoJet trimmed0 = _trimmer(j0);
fastjet::PseudoJet pruned0 = _pruner(j0);
_h_ungroomedJetMass_AK7_zj[njetBin]->fill(j0.m()/GeV, weight);
_h_filteredJetMass_AK7_zj[njetBin]->fill(filtered0.m()/GeV, weight);
_h_trimmedJetMass_AK7_zj[njetBin]->fill(trimmed0.m()/GeV, weight);
_h_prunedJetMass_AK7_zj[njetBin]->fill(pruned0.m()/GeV, weight);
}
}
}
// CA8 jets
const PseudoJets& psjetsCA8_zj = apply<FastJets>(event, "JetsCA8_zj").pseudoJetsByPt(50.0*GeV);
if (!psjetsCA8_zj.empty()) {
// Get the leading jet and make sure it's back-to-back with the Z
const fastjet::PseudoJet& j0 = psjetsCA8_zj[0];
if (isBackToBack_zj(zfinder, j0)) {
const size_t njetBin = findPtBin(j0.pt()/GeV);
if (njetBin < N_PT_BINS_vj) {
fastjet::PseudoJet pruned0 = _pruner(j0);
_h_prunedJetMass_CA8_zj[njetBin]->fill(pruned0.m()/GeV, weight);
}
}
}
// CA12 jets
const PseudoJets& psjetsCA12_zj = apply<FastJets>(event, "JetsCA12_zj").pseudoJetsByPt(50.0*GeV);
if (!psjetsCA12_zj.empty()) {
// Get the leading jet and make sure it's back-to-back with the Z
const fastjet::PseudoJet& j0 = psjetsCA12_zj[0];
if (isBackToBack_zj(zfinder, j0)) {
const size_t njetBin = findPtBin(j0.pt()/GeV);
if (njetBin>0 && njetBin < N_PT_BINS_vj) {
fastjet::PseudoJet filtered0 = _filter(j0);
_h_filteredJetMass_CA12_zj[njetBin]->fill( filtered0.m() / GeV, weight);
}
}
}
}
/// Normalise histograms etc., after the run
void finalize() {
const double normalizationVal = 1000;
for (size_t i = 0; i < N_PT_BINS_vj; ++i ) {
normalize( _h_ungroomedJetMass_AK7_zj[i], normalizationVal);
normalize( _h_filteredJetMass_AK7_zj[i], normalizationVal);
normalize( _h_trimmedJetMass_AK7_zj[i], normalizationVal);
normalize( _h_prunedJetMass_AK7_zj[i], normalizationVal);
normalize( _h_prunedJetMass_CA8_zj[i], normalizationVal);
if (i > 0) normalize( _h_filteredJetMass_CA12_zj[i], normalizationVal);
}
}
//@}
private:
/// @name FastJet grooming tools (configured in constructor init list)
//@{
const fastjet::Filter _filter;
const fastjet::Filter _trimmer;
const fastjet::Pruner _pruner;
//@}
/// @name Histograms
//@{
enum BINS_vj { PT_125_150_vj=0, PT_150_220_vj, PT_220_300_vj, PT_300_450_vj, N_PT_BINS_vj };
Histo1DPtr _h_ungroomedJetMass_AK7_zj[N_PT_BINS_vj];
Histo1DPtr _h_filteredJetMass_AK7_zj[N_PT_BINS_vj];
Histo1DPtr _h_trimmedJetMass_AK7_zj[N_PT_BINS_vj];
Histo1DPtr _h_prunedJetMass_AK7_zj[N_PT_BINS_vj];
Histo1DPtr _h_prunedJetMass_CA8_zj[N_PT_BINS_vj];
Histo1DPtr _h_filteredJetMass_CA12_zj[N_PT_BINS_vj];
//@}
};
// The hook for the plugin system
DECLARE_RIVET_PLUGIN(CMS_2013_I1224539_ZJET);
}
diff --git a/analyses/pluginCMS/CMS_2016_I1491953.cc b/analyses/pluginCMS/CMS_2016_I1491953.cc
--- a/analyses/pluginCMS/CMS_2016_I1491953.cc
+++ b/analyses/pluginCMS/CMS_2016_I1491953.cc
@@ -1,332 +1,331 @@
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/FastJets.hh"
#include "Rivet/Projections/VetoedFinalState.hh"
#include "Rivet/Projections/WFinder.hh"
namespace Rivet {
/// @brief Differential cross sections for associated production of a W boson and jets at 8 TeV
class CMS_2016_I1491953 : public Analysis {
public:
/// Constructor
DEFAULT_RIVET_ANALYSIS_CTOR(CMS_2016_I1491953);
/// @name Analysis methods
//@{
/// Book histograms and initialise projections before the run
void init() {
// Initialise and register projections
FinalState fs;
WFinder wfinder_mu(fs, Cuts::abseta < 2.4 && Cuts::pT > 0*GeV, PID::MUON, 0*GeV, 1000000*GeV,
0*GeV, 0.1, WFinder::CLUSTERNODECAY, WFinder::TRACK, WFinder::TRANSMASS);
addProjection(wfinder_mu, "WFinder_mu");
// Define veto FS
VetoedFinalState vfs;
vfs.addVetoOnThisFinalState(wfinder_mu);
vfs.addVetoPairId(PID::MUON);
vfs.vetoNeutrinos();
FastJets fastjets(vfs, FastJets::ANTIKT, 0.5);
addProjection(fastjets, "Jets");
book(_hist_Mult_exc ,1,1,1);
book(_hist_inc_WJetMult ,2,1,1);
book(_hist_addJetPt1j ,3,1,1);
book(_hist_addJetPt2j ,4,1,1);
book(_hist_addJetPt3j ,5,1,1);
book(_hist_addJetPt4j ,6,1,1);
book(_hist_addHt_1j ,7,1,1);
book(_hist_addHt_2j ,8,1,1);
book(_hist_addHt_3j ,9,1,1);
book(_hist_addHt_4j ,10,1,1);
book(_hist_diJetPt_2j ,11,1,1);
book(_hist_diJetPt_3j ,12,1,1);
book(_hist_diJetPt_4j ,13,1,1);
book(_hist_dijetM_2j ,14,1,1);
book(_hist_dijetM_3j ,15,1,1);
book(_hist_dijetM_4j ,16,1,1);
book(_hist_Jeteta1j ,17,1,1);
book(_hist_Jeteta2j ,18,1,1);
book(_hist_Jeteta3j ,19,1,1);
book(_hist_Jeteta4j ,20,1,1);
book(_hist_dyj1j2_2j ,21,1,1);
book(_hist_dyj1j2_3j ,22,1,1);
book(_hist_dyj1j2_4j ,23,1,1);
book(_hist_dyj1j3_3j ,24,1,1);
book(_hist_dyj2j3_3j ,25,1,1);
book(_hist_dyjFjB_2j ,26,1,1);
book(_hist_dyjFjB_3j ,27,1,1);
book(_hist_dyjFjB_4j ,28,1,1);
book(_hist_dphij1j2_2j ,29,1,1);
book(_hist_dphijFjB_2j ,30,1,1);
book(_hist_dRj1j2_2j ,31,1,1);
book(_hist_dphij1mu_1j ,32,1,1);
book(_hist_dphij2mu_2j ,33,1,1);
book(_hist_dphij3mu_3j ,34,1,1);
book(_hist_dphij4mu_4j ,35,1,1);
book(_hist_MeanNJht_1j ,36,1,1);
book(_hist_MeanNJht_2j ,37,1,1);
book(_hist_MeanNJdyj1j2_2j ,38,1,1);
book(_hist_MeanNJdyjFjB_2j ,39,1,1);
}
// Define function used for filiing inc Njets histo
void _fill(Histo1DPtr& _histJetMult, vector<FourMomentum>& finaljet_list) {
_histJetMult->fill(0);
for (size_t i = 0 ; i < finaljet_list.size() ; ++i) {
if (i == 7) break;
_histJetMult->fill(i+1); // inclusive multiplicity
}
}
/// Perform the per-event analysis
void analyze(const Event& event) {
- const WFinder& wfinder_mu = applyProjection<WFinder>(event, "WFinder_mu");
+ const WFinder& wfinder_mu = apply<WFinder>(event, "WFinder_mu");
if (wfinder_mu.bosons().size() != 1) vetoEvent;
//const FourMomentum& lepton0 = wfinder_mu.constituentLeptons()[0].momentum();
//const FourMomentum& neutrino = wfinder_mu.constituentNeutrinos()[0].momentum();
//double WmT = sqrt( 2 * lepton0.pT() * neutrino.pT() * (1 - cos(deltaPhi(lepton0, neutrino))) );
- const FourMomentum lepton0 = wfinder_mu.constituentLepton().momentum();
- const FourMomentum neutrino = wfinder_mu.constituentNeutrino().momentum();
+ const FourMomentum& lepton0 = wfinder_mu.constituentLepton().momentum();
double WmT = wfinder_mu.mT();
if (WmT < 50.0*GeV) vetoEvent;
if (lepton0.abseta() > 2.1 || lepton0.pT() < 25.0*GeV) vetoEvent;
// Select final jets, ordered by decreasing pT
vector<FourMomentum> finaljet_list;
double HT = 0.0;
- const Jets jListAll = applyProjection<FastJets>(event, "Jets").jetsByPt(30.0*GeV);
+ const Jets jListAll = apply<FastJets>(event, "Jets").jetsByPt(30.0*GeV);
for (const Jet& j : jListAll) {
if (j.abseta() < 2.4 && j.pT() > 30.0*GeV && deltaR(lepton0, j) > 0.5) {
finaljet_list.push_back(j.momentum());
HT += j.pT();
}
}
// Another jet list, sorted by increasing rapidity
vector<FourMomentum> jListRap = finaljet_list;
std::sort(jListRap.begin(), jListRap.end(), cmpMomByRap);
// Multiplicity exc plot.
if (finaljet_list.size()<=7) {
_hist_Mult_exc->fill(finaljet_list.size());
} else if (finaljet_list.size()>7){
_hist_Mult_exc->fill(7.);
}
// Multiplicity inc plot.
_fill(_hist_inc_WJetMult, finaljet_list);
if (finaljet_list.size()>=1) {
_hist_addJetPt1j->fill(finaljet_list[0].pT());
_hist_Jeteta1j->fill(fabs(finaljet_list[0].eta()));
_hist_addHt_1j->fill(HT);
_hist_dphij1mu_1j->fill( deltaPhi(finaljet_list[0].phi(), lepton0.phi()) );
_hist_MeanNJht_1j->fill( HT, finaljet_list.size());
}
if (finaljet_list.size()>=2) {
_hist_addJetPt2j->fill(finaljet_list[1].pT());
_hist_Jeteta2j->fill(fabs(finaljet_list[1].eta()));
_hist_addHt_2j->fill(HT);
_hist_dyj1j2_2j ->fill( fabs(finaljet_list[0].rapidity() - finaljet_list[1].rapidity()));
_hist_dyjFjB_2j ->fill( fabs(jListRap[0].rapidity() - jListRap[jListRap.size()-1].rapidity()));
_hist_dphij1j2_2j ->fill( deltaPhi(finaljet_list[0].phi(), finaljet_list[1].phi()));
_hist_dphijFjB_2j ->fill( deltaPhi(jListRap[0].phi(), jListRap[jListRap.size()-1].phi()) );
_hist_dijetM_2j ->fill( (add(finaljet_list[0], finaljet_list[1])).mass());
_hist_diJetPt_2j ->fill( (add(finaljet_list[0], finaljet_list[1])).pT());
_hist_dRj1j2_2j ->fill( deltaR(finaljet_list[0].rapidity(), finaljet_list[0].phi(), finaljet_list[1].rapidity(), finaljet_list[1].phi()));
_hist_dphij2mu_2j ->fill( deltaPhi(finaljet_list[1].phi(), lepton0.phi()) );
_hist_MeanNJht_2j->fill( HT, finaljet_list.size());
_hist_MeanNJdyj1j2_2j->fill( fabs(finaljet_list[0].rapidity() - finaljet_list[1].rapidity()), finaljet_list.size());
_hist_MeanNJdyjFjB_2j->fill( fabs(jListRap[0].rapidity() - jListRap[jListRap.size()-1].rapidity()), finaljet_list.size());
}
if (finaljet_list.size()>=3) {
_hist_addJetPt3j->fill(finaljet_list[2].pT());
_hist_Jeteta3j->fill(fabs(finaljet_list[2].eta()));
_hist_addHt_3j->fill(HT);
_hist_dyj1j2_3j ->fill( fabs(finaljet_list[0].rapidity() - finaljet_list[1].rapidity()));
_hist_dyj1j3_3j ->fill( fabs(finaljet_list[0].rapidity() - finaljet_list[2].rapidity()));
_hist_dyj2j3_3j ->fill( fabs(finaljet_list[1].rapidity() - finaljet_list[2].rapidity()));
_hist_dyjFjB_3j ->fill( fabs(jListRap[0].rapidity() - jListRap[jListRap.size()-1].rapidity()));
_hist_dijetM_3j ->fill( (add(finaljet_list[0], finaljet_list[1])).mass());
_hist_diJetPt_3j ->fill( (add(finaljet_list[0], finaljet_list[1])).pT());
_hist_dphij3mu_3j->fill( deltaPhi(finaljet_list[2].phi(), lepton0.phi()) );
}
if (finaljet_list.size()>=4) {
_hist_addJetPt4j->fill(finaljet_list[3].pT());
_hist_Jeteta4j->fill(fabs(finaljet_list[3].eta()));
_hist_addHt_4j->fill(HT);
_hist_dyj1j2_4j ->fill( fabs(finaljet_list[0].rapidity() - finaljet_list[1].rapidity()));
_hist_dyjFjB_4j ->fill( fabs(jListRap[0].rapidity() - jListRap[jListRap.size()-1].rapidity()));
_hist_dijetM_4j ->fill( (add(finaljet_list[0], finaljet_list[1])).mass());
_hist_diJetPt_4j ->fill( (add(finaljet_list[0], finaljet_list[1])).pT());
_hist_dphij4mu_4j->fill( deltaPhi(finaljet_list[3].phi(), lepton0.phi()) );
}
} //void loop
/// Normalise histograms etc., after the run
void finalize() {
const double crossec = !std::isnan(crossSectionPerEvent()) ? crossSection() : 36703*picobarn;
if (std::isnan(crossSectionPerEvent())){
MSG_INFO("No valid cross-section given, using NNLO xsec calculated by FEWZ " << crossec/picobarn << " pb");
}
scale(_hist_Mult_exc, crossec/picobarn/sumOfWeights());
scale(_hist_inc_WJetMult, crossec/picobarn/sumOfWeights());
scale(_hist_addJetPt1j, crossec/picobarn/sumOfWeights());
scale(_hist_addJetPt2j, crossec/picobarn/sumOfWeights());
scale(_hist_addJetPt3j, crossec/picobarn/sumOfWeights());
scale(_hist_addJetPt4j, crossec/picobarn/sumOfWeights());
scale(_hist_Jeteta1j, crossec/picobarn/sumOfWeights());
scale(_hist_Jeteta2j, crossec/picobarn/sumOfWeights());
scale(_hist_Jeteta3j, crossec/picobarn/sumOfWeights());
scale(_hist_Jeteta4j, crossec/picobarn/sumOfWeights());
scale(_hist_addHt_1j, crossec/picobarn/sumOfWeights());
scale(_hist_addHt_2j, crossec/picobarn/sumOfWeights());
scale(_hist_addHt_3j, crossec/picobarn/sumOfWeights());
scale(_hist_addHt_4j, crossec/picobarn/sumOfWeights());
//-------------------------------------
scale(_hist_dyj1j2_2j, crossec/picobarn/sumOfWeights());
scale(_hist_dyj1j2_3j, crossec/picobarn/sumOfWeights());
scale(_hist_dyj1j2_4j, crossec/picobarn/sumOfWeights());
scale(_hist_dyjFjB_2j, crossec/picobarn/sumOfWeights());
scale(_hist_dyjFjB_3j, crossec/picobarn/sumOfWeights());
scale(_hist_dyjFjB_4j, crossec/picobarn/sumOfWeights());
scale(_hist_dyj1j3_3j, crossec/picobarn/sumOfWeights());
scale(_hist_dyj2j3_3j, crossec/picobarn/sumOfWeights());
scale(_hist_dphij1j2_2j, crossec/picobarn/sumOfWeights());
scale(_hist_dphijFjB_2j, crossec/picobarn/sumOfWeights());
scale(_hist_dRj1j2_2j, crossec/picobarn/sumOfWeights());
scale(_hist_dijetM_2j, crossec/picobarn/sumOfWeights());
scale(_hist_dijetM_3j, crossec/picobarn/sumOfWeights());
scale(_hist_dijetM_4j, crossec/picobarn/sumOfWeights());
scale(_hist_diJetPt_2j, crossec/picobarn/sumOfWeights());
scale(_hist_diJetPt_3j, crossec/picobarn/sumOfWeights());
scale(_hist_diJetPt_4j, crossec/picobarn/sumOfWeights());
scale(_hist_dphij1mu_1j, crossec/picobarn/sumOfWeights());
scale(_hist_dphij2mu_2j, crossec/picobarn/sumOfWeights());
scale(_hist_dphij3mu_3j, crossec/picobarn/sumOfWeights());
scale(_hist_dphij4mu_4j, crossec/picobarn/sumOfWeights());
}
//@}
private:
/// @name Histograms
//@{
Histo1DPtr _hist_inc_WJetMult;
Histo1DPtr _hist_Mult_exc;
Histo1DPtr _hist_addJetPt1j;
Histo1DPtr _hist_addJetPt2j;
Histo1DPtr _hist_addJetPt3j;
Histo1DPtr _hist_addJetPt4j;
Histo1DPtr _hist_Jeteta1j;
Histo1DPtr _hist_Jeteta2j;
Histo1DPtr _hist_Jeteta3j;
Histo1DPtr _hist_Jeteta4j;
Histo1DPtr _hist_addHt_1j;
Histo1DPtr _hist_addHt_2j;
Histo1DPtr _hist_addHt_3j;
Histo1DPtr _hist_addHt_4j;
//-------------------------------------
Histo1DPtr _hist_dyj1j2_2j;
Histo1DPtr _hist_dyj1j2_3j;
Histo1DPtr _hist_dyj1j2_4j;
Histo1DPtr _hist_dyjFjB_2j;
Histo1DPtr _hist_dyjFjB_3j;
Histo1DPtr _hist_dyjFjB_4j;
Histo1DPtr _hist_dyj1j3_3j;
Histo1DPtr _hist_dyj2j3_3j;
Histo1DPtr _hist_dphij1j2_2j;
Histo1DPtr _hist_dphijFjB_2j;
Histo1DPtr _hist_dRj1j2_2j;
Histo1DPtr _hist_dijetM_2j;
Histo1DPtr _hist_dijetM_3j;
Histo1DPtr _hist_dijetM_4j;
Histo1DPtr _hist_diJetPt_2j;
Histo1DPtr _hist_diJetPt_3j;
Histo1DPtr _hist_diJetPt_4j;
Histo1DPtr _hist_dphij1mu_1j;
Histo1DPtr _hist_dphij2mu_2j;
Histo1DPtr _hist_dphij3mu_3j;
Histo1DPtr _hist_dphij4mu_4j;
//-------------------------------------
Profile1DPtr _hist_MeanNJht_1j;
Profile1DPtr _hist_MeanNJht_2j;
Profile1DPtr _hist_MeanNJdyj1j2_2j;
Profile1DPtr _hist_MeanNJdyjFjB_2j;
//@}
};
// The hook for the plugin system
DECLARE_RIVET_PLUGIN(CMS_2016_I1491953);
}
diff --git a/analyses/pluginCMS/CMS_2017_I1518399.info b/analyses/pluginCMS/CMS_2017_I1518399.info
--- a/analyses/pluginCMS/CMS_2017_I1518399.info
+++ b/analyses/pluginCMS/CMS_2017_I1518399.info
@@ -1,60 +1,60 @@
Name: CMS_2017_I1518399
Year: 2017
Summary: Differential $t\bar{t}$ production cross-section as a function of the leading jet mass for boosted top quarks at 8 TeV
Experiment: CMS
Collider: LHC
-SpiresID: 1518399
+InspireID: 1518399
Status: VALIDATED
Authors:
- Torben Dreyer <torben.dreyer@desy.de>
- Roman Kogler <roman.kogler@cern.ch>
- Johannes Haller <johannes.haller@cern.ch>
References:
- TOP-15-015
- arXiv:1703.06330
- Submitted to Eur. Phys. J. C.
RunInfo:
'$t\bar{t}$ events at $\sqrt{s}=8\;\TeV$. Boosted topology requires high statistics in a single run or custom merging of the YODA files.'
Luminosity: 19.7 /fb
Beams: [p+, p+]
Energies: [8000]
Description:
'Measurement of the differential and normalised differential $t\bar{t}$ production cross
section as a function of the leading jet mass. The measurement was performed in the lepton+jets channel
and the fiducial measurement phase space is enriched with events where the leading jet includes all
decay products of a hadronically decaying top quark.
This analysis is to be run on ${t\bar{t}}$ simulation.
The objects are defined as follows
- Lepton: electron or muon originating from the decay of a W boson
- Jets: jets are clustered from final state particles using the Cambridge-Aachen algorithm
with a distance parameter of 1.2. If a lepton overlaps with a jet (distance in the
eta-phi plane smaller 1.2) its four momentum is subtracted from the four momentum of the jet.
Definition of the particle level phase space:
- only ${\rm t\bar{t}}$ decays with one top quark decaying hadronically and one top quark
decaying leptonically including an electron or muon from the W decay.
- lepton $\pt > 45\;\GeV$ and $|\eta| < 2.1$
- at least one jet with $\pt > 400\;\GeV$ and $|\eta| < 2.5$
- a second jet with $\pt > 150\;\GeV$ and $|\eta| < 2.5$
- veto on additional jets with $\pt > 150\;\GeV$ and $|\eta| < 2.5$
- distance between the second jet and the lepton in the eta-phi plane $\Delta R(jet2, lepton)$ smaller 1.2
- invariant mass of the leading jet larger than the invariant mass of the combination of the second jet and lepton
The differential and normalised differential cross section was measured as a function of the leading jet mass.'
BibKey: Sirunyan:2017yar
BibTeX: '@article{Sirunyan:2017yar,
author = "Sirunyan, Albert M and others",
title = "{Measurement of the jet mass in highly boosted t-tbar
events from pp collisions at sqrt(s) = 8 TeV}",
collaboration = "CMS",
year = "2017",
eprint = "1703.06330",
archivePrefix = "arXiv",
primaryClass = "hep-ex",
reportNumber = "CMS-TOP-15-015, CERN-EP-2017-018",
SLACcitation = "%%CITATION = ARXIV:1703.06330;%%"
}'
diff --git a/analyses/pluginCMS/CMS_2017_I1605749.cc b/analyses/pluginCMS/CMS_2017_I1605749.cc
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2017_I1605749.cc
@@ -0,0 +1,145 @@
+// -*- C++ -*-
+// Rivet framework
+#include "Rivet/Analysis.hh"
+
+// Projections
+#include "Rivet/Projections/FinalState.hh"
+#include "Rivet/Projections/FastJets.hh"
+
+namespace Rivet {
+
+ using namespace Cuts;
+
+ class CMS_2017_I1605749 : public Analysis {
+ public:
+
+ // Constructor
+ CMS_2017_I1605749()
+ : Analysis("CMS_2017_I1605749")
+ { }
+
+ // Book histograms and initialise projections before the run
+ void init() {
+ // Projections
+ const FinalState fs(-5.0, 5.0, 0.0*GeV);
+ addProjection(FastJets(fs, FastJets::ANTIKT, 0.5), "Jets");
+
+ // Jet Charge Histos
+ for (int i = 1; i <= 18; i++) {
+ book(_h_Charge[i - 1], i, 1, 1);
+ }
+ }
+
+ // Perform the per-event analysis
+ void analyze(const Event& event) {
+ const Jets& jets = applyProjection<FastJets>(event, "Jets").jetsByPt(10.0*GeV);
+
+ if (jets.size() < 2) vetoEvent;
+
+ double leadingpt = jets[0].pt()/GeV;
+ double subleadingpt = jets[1].pt()/GeV;
+
+ if (jets.size() < 2 ||
+ jets[0].abseta() >= 1.5 ||
+ jets[1].abseta() >= 1.5 ||
+ leadingpt < 400.0 || subleadingpt < 100.0) {
+ vetoEvent;
+ }
+
+ vector<Particle> constituents1 = jets[0].constituents();
+ std::vector<double> numerator(9, 0), denominator(9, 0);
+
+ double t_jetcharge1, t_jetcharge1k6, t_jetcharge1k3;
+ double t_jetchargeL1, t_jetchargeL1k6, t_jetchargeL1k3;
+ double t_jetchargeT1, t_jetchargeT1k6, t_jetchargeT1k3;
+
+ denominator[0] = leadingpt;
+ denominator[1] = std::pow(leadingpt, 0.6);
+ denominator[2] = std::pow(leadingpt, 0.3);
+
+ if (constituents1.size() > 0) {
+ for (unsigned j = 0; j < constituents1.size(); j++) {
+ if (std::abs(constituents1[j].pdgId()) > 9 &&
+ std::abs(constituents1[j].pdgId())!= 21) {
+ if (constituents1[j].pt() > 1*GeV) {
+ double charge = constituents1[j].charge();
+ double mom = constituents1[j].pt();
+ double dotproduct = constituents1[j].p3().dot(jets[0].p3()) / jets[0].p();
+ double crossproduct = constituents1[j].p3().cross(jets[0].p3()).mod() / jets[0].p();
+
+ numerator[0] += (mom * charge);
+ numerator[1] += ((std::pow(mom, 0.6)) * charge);
+ numerator[2] += ((std::pow(mom, 0.3)) * charge);
+
+ numerator[3] += (dotproduct * charge);
+ numerator[4] += ((std::pow(dotproduct, 0.6)) * charge);
+ numerator[5] += ((std::pow(dotproduct, 0.3)) * charge);
+
+ denominator[3] += dotproduct;
+ denominator[4] += (std::pow(dotproduct, 0.6));
+ denominator[5] += (std::pow(dotproduct, 0.3));
+
+ numerator[6] += (crossproduct * charge);
+ numerator[7] += ((std::pow(crossproduct, 0.6)) * charge);
+ numerator[8] += ((std::pow(crossproduct, 0.3)) * charge);
+
+ denominator[6] += crossproduct;
+ denominator[7] += (std::pow(crossproduct, 0.6));
+ denominator[8] += (std::pow(crossproduct, 0.3));
+ }
+ }
+ }
+ }
+
+ t_jetcharge1 = (denominator[0] > 0) ? numerator[0] / denominator[0] : 0;
+ t_jetcharge1k6 = (denominator[1] > 0) ? numerator[1] / denominator[1] : 0;
+ t_jetcharge1k3 = (denominator[2] > 0) ? numerator[2] / denominator[2] : 0;
+ t_jetchargeL1 = (denominator[3] > 0) ? numerator[3] / denominator[3] : 0;
+ t_jetchargeL1k6 = (denominator[4] > 0) ? numerator[4] / denominator[4] : 0;
+ t_jetchargeL1k3 = (denominator[5] > 0) ? numerator[5] / denominator[5] : 0;
+ t_jetchargeT1 = (denominator[6] > 0) ? numerator[6] / denominator[6] : 0;
+ t_jetchargeT1k6 = (denominator[7] > 0) ? numerator[7] / denominator[7] : 0;
+ t_jetchargeT1k3 = (denominator[8] > 0) ? numerator[8] / denominator[8] : 0;
+
+ _h_Charge[0]->fill(t_jetcharge1);
+ _h_Charge[1]->fill(t_jetcharge1k6);
+ _h_Charge[2]->fill(t_jetcharge1k3);
+ _h_Charge[3]->fill(t_jetchargeL1);
+ _h_Charge[4]->fill(t_jetchargeL1k6);
+ _h_Charge[5]->fill(t_jetchargeL1k3);
+ _h_Charge[6]->fill(t_jetchargeT1);
+ _h_Charge[7]->fill(t_jetchargeT1k6);
+ _h_Charge[8]->fill(t_jetchargeT1k3);
+
+ if (leadingpt > 400 && leadingpt < 700) {
+ _h_Charge[9]->fill(t_jetcharge1k6);
+ _h_Charge[12]->fill(t_jetchargeL1k6);
+ _h_Charge[15]->fill(t_jetchargeT1k6);
+ } else if (leadingpt > 700 && leadingpt < 1000) {
+ _h_Charge[10]->fill(t_jetcharge1k6);
+ _h_Charge[13]->fill(t_jetchargeL1k6);
+ _h_Charge[16]->fill(t_jetchargeT1k6);
+ } else if (leadingpt > 1000 && leadingpt < 1800) {
+ _h_Charge[11]->fill(t_jetcharge1k6);
+ _h_Charge[14]->fill(t_jetchargeL1k6);
+ _h_Charge[17]->fill(t_jetchargeT1k6);
+ }
+ }
+
+ // Normalise histograms etc., after the run
+ void finalize() {
+ for (int j = 0; j < 18; j++) {
+ normalize(_h_Charge[j]);
+ for (size_t i = 0; i < _h_Charge[j]-> numBins(); i++) {
+ _h_Charge[j]->bin(i).scaleW(1.0 / _h_Charge[j]->bin(i).width());
+ }
+ }
+ }
+
+ private:
+ Histo1DPtr _h_Charge[18];
+ };
+
+ // The hook for the plugin system
+ DECLARE_RIVET_PLUGIN(CMS_2017_I1605749);
+}
diff --git a/analyses/pluginCMS/CMS_2017_I1605749.info b/analyses/pluginCMS/CMS_2017_I1605749.info
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2017_I1605749.info
@@ -0,0 +1,26 @@
+Name: CMS_2017_I1605749
+Year: 2017
+Summary: Measurements of jet charge with dijet events in pp collisions at $\sqrt{s}=8$ TeV
+Experiment: CMS
+Collider: LHC
+SpiresID: 1605749
+Status: VALIDATED
+Authors:
+ - Debarati Roy <debarati.roy@cern.ch>
+ - Andreas Hinzmann <andreas.hinzmann@cern.ch>
+ - Nhan Viet Tran <nhan.viet.tran@cern.ch>
+ - Sunanda Banerjee <Sunanda.Banerjee@cern.ch>
+
+References:
+ - DOI:10.1007/JHEP10(2017)131
+ - arXiv:1706.05868
+ - CMS-SMP-15-003
+
+RunInfo:
+ pp QCD interactions at $\sqrt{s} = 8$ TeV. Data collected by CMS during the year 2012.
+Beams: [p+, p+]
+Energies: [8000]
+PtCuts: [400]
+NeedCrossSection: no
+Description:
+ 'Jet charge is an estimator of the electric charge of a quark, antiquark, or gluon initiating a jet. It is based on the momentum-weighted sum of the electric charges of the jet constituents. Measurements of three charge observables of the leading jet in transverse momentum $p_\mathrm{T}$ are performed with dijet events. The analysis is carried out with data collected by the CMS experiment at the CERN LHC in proton-proton collisions at $\sqrt{s}=8\TeV$ corresponding to an integrated luminosity of 19.7 fb$^{-1}$. The results are presented in bins of the $p_\mathrm{T}$ of the leading jet.'
diff --git a/analyses/pluginCMS/CMS_2017_I1605749.plot b/analyses/pluginCMS/CMS_2017_I1605749.plot
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2017_I1605749.plot
@@ -0,0 +1,200 @@
+# BEGIN PLOT /CMS_2017_I1605749/d01-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (p$_$T $>$ 400 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{1}^{\kappa=1.0}$ [e]
+YLabel=1/N dN/dQ$_{1}^{1.0}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-1.0
+XMax=1.0
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d02-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (p$_$T $>$ 400 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{1}^{\kappa=0.6}$ [e]
+YLabel=1/N dN/dQ$_{1}^{0.6}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-1.5
+XMax=1.5
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d03-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (p$_$T $>$ 400 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{1}^{\kappa=0.3}$ [e]
+YLabel=1/N dN/dQ$_{1}^{0.3}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-2.52
+XMax=2.52
+# END PLOT
+
+
+# BEGIN PLOT /CMS_2017_I1605749/d04-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (p$_$T $>$ 400 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{L,1}^{\kappa=1.0}$ [e]
+YLabel=1/N dN/dQ$_{L,1}^{1.0}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-1.0
+XMax=1.0
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d05-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (p$_$T $>$ 400 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{L,1}^{\kappa=0.6}$ [e]
+YLabel=1/N dN/dQ$_{L,1}^{0.6}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-0.8
+XMax=0.8
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d06-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (p$_$T $>$ 400 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{L,1}^{\kappa=0.3}$ [e]
+YLabel=1/N dN/dQ$_{L,1}^{0.3}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-0.6
+XMax=0.6
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d07-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (p$_$T $>$ 400 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{T,1}^{\kappa=1.0}$ [e]
+YLabel=1/N dN/dQ$_{T,1}^{1.0}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-1.0
+XMax=1.0
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d08-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (p$_$T $>$ 400 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{T,1}^{\kappa=0.6}$ [e]
+YLabel=1/N dN/dQ$_{T,1}^{0.6}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-0.7
+XMax=0.7
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d09-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (p$_$T $>$ 400 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{T,1}^{\kappa=0.3}$ [e]
+YLabel=1/N dN/dQ$_{T,1}^{0.3}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-0.7
+XMax=0.7
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d10-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (400$<$p$_$T$<$700 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{1}^{\kappa=0.6}$ [e]
+YLabel=1/N dN/dQ$_{1}^{0.6}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-1.5
+XMax=1.5
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d11-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet ( 700$<$p$_$T$<$1000 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{1}^{\kappa=0.6}$ [e]
+YLabel=1/N dN/dQ$_{1}^{0.6}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-1.5
+XMax=1.5
+# END PLOT
+
+
+# BEGIN PLOT /CMS_2017_I1605749/d12-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (1000$<$p$_$T$<$1800 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{1}^{\kappa=0.6}$ [e]
+YLabel=1/N dN/dQ$_{1}^{0.6}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-1.5
+XMax=1.5
+# END PLOT
+
+
+# BEGIN PLOT /CMS_2017_I1605749/d13-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (400$<$p$_$T$<$700 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{L,1}^{\kappa=0.6}$ [e]
+YLabel=1/N dN/dQ$_{L,1}^{0.6}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-0.8
+XMax=0.8
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d14-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (700$<$p$_$T$<$1000 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{L,1}^{\kappa=0.6}$ [e]
+YLabel=1/N dN/dQ$_{L,1}^{0.6}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-0.8
+XMax=0.8
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d15-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (1000$<$p$_$T$<$1800 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{L,1}^{\kappa=0.6}$ [e]
+YLabel=1/N dN/dQ$_{L,1}^{0.6}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-0.8
+XMax=0.8
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d16-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (400$<$p$_$T$<$700 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{T,1}^{\kappa=0.6}$ [e]
+YLabel=1/N dN/dQ$_{T,1}^{0.6}$ [1/e]
+LegendXPos=0.7
+LegendYPos=0.7
+LogY=0
+XMin=-0.7
+XMax=0.7
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d17-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (700$<$p$_$T$<$1000 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{T,1}^{\kappa=0.6}$ [e]
+YLabel=1/N dN/dQ$_{T,1}^{0.6}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-0.7
+XMax=0.7
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1605749/d18-x01-y01
+Title=CMS, 8 TeV, jetcharge of leading jet (1000$<$p$_$T$<$1800 GeV, $\eta$ $<$ 1.5)
+XLabel=Q$_{T,1}^{\kappa=0.6}$ [e]
+YLabel=1/N dN/dQ$_{T,1}^{0.6}$ [1/e]
+LegendXPos=0.70
+LegendYPos=0.78
+LogY=0
+XMin=-0.7
+XMax=0.7
+# END PLOT
diff --git a/analyses/pluginCMS/CMS_2017_I1605749.yoda b/analyses/pluginCMS/CMS_2017_I1605749.yoda
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2017_I1605749.yoda
@@ -0,0 +1,440 @@
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d01-x01-y01
+Path=/REF/CMS_2017_I1605749/d01-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-8.000000e-01 2.000000e-01 2.000000e-01 1.080706e-02 8.350214e-04 8.350214e-04
+-5.500000e-01 5.000000e-02 5.000000e-02 6.513281e-02 2.817645e-03 2.817645e-03
+-4.500000e-01 5.000000e-02 5.000000e-02 1.363614e-01 4.453128e-03 4.453128e-03
+-3.500000e-01 5.000000e-02 5.000000e-02 2.835193e-01 6.769782e-03 6.769782e-03
+-2.750000e-01 2.500000e-02 2.500000e-02 4.869192e-01 8.288853e-03 8.288853e-03
+-2.250000e-01 2.500000e-02 2.500000e-02 7.033909e-01 1.659786e-02 1.659786e-02
+-1.750000e-01 2.500000e-02 2.500000e-02 1.038873e+00 1.182487e-02 1.182487e-02
+-1.250000e-01 2.500000e-02 2.500000e-02 1.451947e+00 2.426664e-02 2.426664e-02
+-7.500000e-02 2.500000e-02 2.500000e-02 1.899294e+00 2.039253e-02 2.039253e-02
+-2.500000e-02 2.500000e-02 2.500000e-02 2.329052e+00 3.854521e-02 3.854521e-02
+2.500000e-02 2.500000e-02 2.500000e-02 2.462447e+00 4.872571e-02 4.872571e-02
+7.500000e-02 2.500000e-02 2.500000e-02 2.126818e+00 1.893292e-02 1.893292e-02
+1.250000e-01 2.500000e-02 2.500000e-02 1.700885e+00 2.798824e-02 2.798824e-02
+1.750000e-01 2.500000e-02 2.500000e-02 1.299499e+00 2.061133e-02 2.061133e-02
+2.250000e-01 2.500000e-02 2.500000e-02 9.536411e-01 1.057145e-02 1.057145e-02
+2.750000e-01 2.500000e-02 2.500000e-02 6.913451e-01 9.781653e-03 9.781653e-03
+3.500000e-01 5.000000e-02 5.000000e-02 4.478977e-01 1.031962e-02 1.031962e-02
+4.500000e-01 5.000000e-02 5.000000e-02 2.362559e-01 5.743173e-03 5.743173e-03
+5.500000e-01 5.000000e-02 5.000000e-02 1.227208e-01 3.780012e-03 3.780012e-03
+8.000000e-01 2.000000e-01 2.000000e-01 2.320707e-02 1.490771e-03 1.490771e-03
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d02-x01-y01
+Path=/REF/CMS_2017_I1605749/d02-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-1.225000e+00 2.750000e-01 2.750000e-01 3.341098e-04 4.308445e-05 4.308445e-05
+-8.750000e-01 7.500000e-02 7.500000e-02 1.886887e-02 1.127694e-03 1.127694e-03
+-7.500000e-01 5.000000e-02 5.000000e-02 7.119809e-02 2.806774e-03 2.806774e-03
+-6.500000e-01 5.000000e-02 5.000000e-02 1.377523e-01 3.488934e-03 3.488934e-03
+-5.500000e-01 5.000000e-02 5.000000e-02 2.356483e-01 4.615271e-03 4.615271e-03
+-4.500000e-01 5.000000e-02 5.000000e-02 3.812426e-01 5.784107e-03 5.784107e-03
+-3.500000e-01 5.000000e-02 5.000000e-02 5.695294e-01 4.587473e-03 4.587473e-03
+-2.500000e-01 5.000000e-02 5.000000e-02 8.019452e-01 6.015142e-03 6.015142e-03
+-1.500000e-01 5.000000e-02 5.000000e-02 1.016106e+00 9.211717e-03 9.211717e-03
+-5.000000e-02 5.000000e-02 5.000000e-02 1.201115e+00 1.395485e-02 1.395485e-02
+5.000000e-02 5.000000e-02 5.000000e-02 1.266358e+00 1.278419e-02 1.278419e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.163557e+00 1.364134e-02 1.364134e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.869319e-01 7.968945e-03 7.968945e-03
+3.500000e-01 5.000000e-02 5.000000e-02 7.672964e-01 4.305866e-03 4.305866e-03
+4.500000e-01 5.000000e-02 5.000000e-02 5.628829e-01 4.760154e-03 4.760154e-03
+5.500000e-01 5.000000e-02 5.000000e-02 3.671321e-01 1.160093e-02 1.160093e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.297878e-01 1.005481e-02 1.005481e-02
+7.500000e-01 5.000000e-02 5.000000e-02 1.435919e-01 4.180228e-03 4.180228e-03
+8.750000e-01 7.500000e-02 7.500000e-02 4.216885e-02 2.068590e-03 2.068590e-03
+1.225000e+00 2.750000e-01 2.750000e-01 8.237518e-04 9.715003e-05 9.715003e-05
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d03-x01-y01
+Path=/REF/CMS_2017_I1605749/d03-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-2.280000e+00 2.400000e-01 2.400000e-01 3.088608e-04 7.786299e-05 7.786299e-05
+-1.800000e+00 2.400000e-01 2.400000e-01 3.599818e-03 2.894312e-04 2.894312e-04
+-1.500000e+00 6.000000e-02 6.000000e-02 1.449530e-02 8.069353e-04 8.069353e-04
+-1.380000e+00 6.000000e-02 6.000000e-02 2.315822e-02 1.118002e-03 1.118002e-03
+-1.260000e+00 6.000000e-02 6.000000e-02 3.596442e-02 1.064538e-03 1.064538e-03
+-1.140000e+00 6.000000e-02 6.000000e-02 6.200932e-02 1.429490e-03 1.429490e-03
+-1.020000e+00 6.000000e-02 6.000000e-02 9.760703e-02 1.860560e-03 1.860560e-03
+-9.000000e-01 6.000000e-02 6.000000e-02 1.465066e-01 2.817770e-03 2.817770e-03
+-7.800000e-01 6.000000e-02 6.000000e-02 2.130408e-01 2.029640e-03 2.029640e-03
+-6.600000e-01 6.000000e-02 6.000000e-02 2.972812e-01 4.440001e-03 4.440001e-03
+-5.400000e-01 6.000000e-02 6.000000e-02 3.888595e-01 8.186738e-03 8.186738e-03
+-4.200000e-01 6.000000e-02 6.000000e-02 4.768263e-01 3.391605e-03 3.391605e-03
+-3.000000e-01 6.000000e-02 6.000000e-02 5.627823e-01 3.010041e-03 3.010041e-03
+-1.800000e-01 6.000000e-02 6.000000e-02 6.509957e-01 4.615610e-03 4.615610e-03
+-6.000000e-02 6.000000e-02 6.000000e-02 7.062461e-01 6.877316e-03 6.877316e-03
+6.000000e-02 6.000000e-02 6.000000e-02 7.329566e-01 5.223701e-03 5.223701e-03
+1.800000e-01 6.000000e-02 6.000000e-02 7.282284e-01 6.930347e-03 6.930347e-03
+3.000000e-01 6.000000e-02 6.000000e-02 6.864622e-01 9.014486e-03 9.014486e-03
+4.200000e-01 6.000000e-02 6.000000e-02 6.178738e-01 3.701424e-03 3.701424e-03
+5.400000e-01 6.000000e-02 6.000000e-02 5.229601e-01 4.543550e-03 4.543550e-03
+6.600000e-01 6.000000e-02 6.000000e-02 4.233804e-01 6.160802e-03 6.160802e-03
+7.800000e-01 6.000000e-02 6.000000e-02 3.246347e-01 4.220063e-03 4.220063e-03
+9.000000e-01 6.000000e-02 6.000000e-02 2.252736e-01 6.194515e-03 6.194515e-03
+1.020000e+00 6.000000e-02 6.000000e-02 1.492424e-01 4.509268e-03 4.509268e-03
+1.140000e+00 6.000000e-02 6.000000e-02 9.721791e-02 2.577809e-03 2.577809e-03
+1.260000e+00 6.000000e-02 6.000000e-02 5.853313e-02 2.932309e-03 2.932309e-03
+1.380000e+00 6.000000e-02 6.000000e-02 3.318339e-02 1.896662e-03 1.896662e-03
+1.500000e+00 6.000000e-02 6.000000e-02 1.831241e-02 2.536861e-03 2.536861e-03
+1.800000e+00 2.400000e-01 2.400000e-01 5.516078e-03 3.336754e-04 3.336754e-04
+2.280000e+00 2.400000e-01 2.400000e-01 4.006256e-04 1.040770e-04 1.040770e-04
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d04-x01-y01
+Path=/REF/CMS_2017_I1605749/d04-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-8.000000e-01 2.000000e-01 2.000000e-01 1.826391e-03 1.189448e-04 1.189448e-04
+-5.500000e-01 5.000000e-02 5.000000e-02 3.942776e-02 1.925683e-03 1.925683e-03
+-4.500000e-01 5.000000e-02 5.000000e-02 7.965377e-02 2.921138e-03 2.921138e-03
+-3.500000e-01 5.000000e-02 5.000000e-02 1.648818e-01 2.628266e-03 2.628266e-03
+-2.750000e-01 2.500000e-02 2.500000e-02 5.496408e-01 7.365908e-03 7.365908e-03
+-2.250000e-01 2.500000e-02 2.500000e-02 7.844181e-01 1.143816e-02 1.143816e-02
+-1.750000e-01 2.500000e-02 2.500000e-02 1.141349e+00 2.041078e-02 2.041078e-02
+-1.250000e-01 2.500000e-02 2.500000e-02 1.572211e+00 2.902519e-02 2.902519e-02
+-7.500000e-02 2.500000e-02 2.500000e-02 2.023426e+00 2.917326e-02 2.917326e-02
+-2.500000e-02 2.500000e-02 2.500000e-02 2.454324e+00 3.596585e-02 3.596585e-02
+2.500000e-02 2.500000e-02 2.500000e-02 2.604808e+00 2.190922e-02 2.190922e-02
+7.500000e-02 2.500000e-02 2.500000e-02 2.254159e+00 2.567453e-02 2.567453e-02
+1.250000e-01 2.500000e-02 2.500000e-02 1.823119e+00 3.554352e-02 3.554352e-02
+1.750000e-01 2.500000e-02 2.500000e-02 1.427017e+00 2.192535e-02 2.192535e-02
+2.250000e-01 2.500000e-02 2.500000e-02 1.053181e+00 1.508767e-02 1.508767e-02
+2.750000e-01 2.500000e-02 2.500000e-02 7.772170e-01 1.037826e-02 1.037826e-02
+3.500000e-01 5.000000e-02 5.000000e-02 2.536060e-01 4.204784e-03 4.204784e-03
+4.500000e-01 5.000000e-02 5.000000e-02 1.362131e-01 2.742802e-03 2.742802e-03
+5.500000e-01 5.000000e-02 5.000000e-02 7.088999e-02 1.685815e-03 1.685815e-03
+8.000000e-01 2.000000e-01 2.000000e-01 3.896937e-03 1.701767e-04 1.701767e-04
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d05-x01-y01
+Path=/REF/CMS_2017_I1605749/d05-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-7.500000e-01 5.000000e-02 5.000000e-02 1.662368e-04 8.133791e-05 8.133791e-05
+-6.500000e-01 5.000000e-02 5.000000e-02 5.957134e-04 1.923560e-04 1.923560e-04
+-5.500000e-01 5.000000e-02 5.000000e-02 2.198257e-03 2.498873e-04 2.498873e-04
+-4.500000e-01 5.000000e-02 5.000000e-02 9.786849e-03 7.441522e-04 7.441522e-04
+-3.500000e-01 5.000000e-02 5.000000e-02 3.770509e-02 2.265327e-03 2.265327e-03
+-2.500000e-01 5.000000e-02 5.000000e-02 1.415919e-01 3.102107e-03 3.102107e-03
+-1.500000e-01 5.000000e-02 5.000000e-02 6.037237e-01 6.534873e-03 6.534873e-03
+-7.500000e-02 2.500000e-02 2.500000e-02 3.029383e+00 2.620114e-02 2.620114e-02
+-2.500000e-02 2.500000e-02 2.500000e-02 4.442381e+00 2.352023e-02 2.352023e-02
+2.500000e-02 2.500000e-02 2.500000e-02 4.789587e+00 2.811908e-02 2.811908e-02
+7.500000e-02 2.500000e-02 2.500000e-02 3.640115e+00 2.353306e-02 2.353306e-02
+1.500000e-01 5.000000e-02 5.000000e-02 8.713375e-01 9.430956e-03 9.430956e-03
+2.500000e-01 5.000000e-02 5.000000e-02 2.676086e-01 4.172252e-03 4.172252e-03
+3.500000e-01 5.000000e-02 5.000000e-02 8.141125e-02 2.185377e-03 2.185377e-03
+4.500000e-01 5.000000e-02 5.000000e-02 2.342856e-02 9.484564e-04 9.484564e-04
+5.500000e-01 5.000000e-02 5.000000e-02 7.337187e-03 6.122035e-04 6.122035e-04
+6.500000e-01 5.000000e-02 5.000000e-02 1.865875e-03 4.030328e-04 4.030328e-04
+7.500000e-01 5.000000e-02 5.000000e-02 3.421372e-04 1.425258e-04 1.425258e-04
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d06-x01-y01
+Path=/REF/CMS_2017_I1605749/d06-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-6.500000e-01 5.000000e-02 5.000000e-02 5.005127e-05 5.326493e-05 5.326493e-05
+-5.000000e-01 1.000000e-01 1.000000e-01 9.712397e-05 3.630600e-05 3.630600e-05
+-3.500000e-01 5.000000e-02 5.000000e-02 2.214903e-03 2.396627e-04 2.396627e-04
+-2.500000e-01 5.000000e-02 5.000000e-02 1.983378e-02 9.585979e-04 9.585979e-04
+-1.500000e-01 5.000000e-02 5.000000e-02 2.273386e-01 6.197586e-03 6.197586e-03
+-7.500000e-02 2.500000e-02 2.500000e-02 2.554728e+00 2.144873e-02 2.144873e-02
+-2.500000e-02 2.500000e-02 2.500000e-02 5.930141e+00 4.240085e-02 4.240085e-02
+2.500000e-02 2.500000e-02 2.500000e-02 6.565848e+00 4.641862e-02 4.641862e-02
+7.500000e-02 2.500000e-02 2.500000e-02 3.486973e+00 4.052944e-02 4.052944e-02
+1.500000e-01 5.000000e-02 5.000000e-02 4.235403e-01 1.203313e-02 1.203313e-02
+2.500000e-01 5.000000e-02 5.000000e-02 5.090564e-02 1.777581e-03 1.777581e-03
+3.500000e-01 5.000000e-02 5.000000e-02 6.346962e-03 5.736674e-04 5.736674e-04
+5.000000e-01 1.000000e-01 1.000000e-01 3.280549e-04 7.047789e-05 7.047789e-05
+6.500000e-01 5.000000e-02 5.000000e-02 6.938025e-05 3.805483e-05 3.805483e-05
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d07-x01-y01
+Path=/REF/CMS_2017_I1605749/d07-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-8.000000e-01 2.000000e-01 2.000000e-01 5.326450e-05 1.849403e-05 1.849403e-05
+-5.500000e-01 5.000000e-02 5.000000e-02 4.786996e-03 4.494239e-04 4.494239e-04
+-4.500000e-01 5.000000e-02 5.000000e-02 2.262576e-02 1.188540e-03 1.188540e-03
+-3.500000e-01 5.000000e-02 5.000000e-02 8.324034e-02 3.364232e-03 3.364232e-03
+-2.750000e-01 2.500000e-02 2.500000e-02 4.120141e-01 8.762001e-03 8.762001e-03
+-2.250000e-01 2.500000e-02 2.500000e-02 7.242966e-01 6.679266e-03 6.679266e-03
+-1.750000e-01 2.500000e-02 2.500000e-02 1.161480e+00 1.744606e-02 1.744606e-02
+-1.250000e-01 2.500000e-02 2.500000e-02 1.748046e+00 1.846075e-02 1.846075e-02
+-7.500000e-02 2.500000e-02 2.500000e-02 2.336988e+00 2.599076e-02 2.599076e-02
+-2.500000e-02 2.500000e-02 2.500000e-02 2.774566e+00 5.731099e-02 5.731099e-02
+2.500000e-02 2.500000e-02 2.500000e-02 2.860912e+00 4.140997e-02 4.140997e-02
+7.500000e-02 2.500000e-02 2.500000e-02 2.522008e+00 1.673205e-02 1.673205e-02
+1.250000e-01 2.500000e-02 2.500000e-02 1.967713e+00 2.032063e-02 2.032063e-02
+1.750000e-01 2.500000e-02 2.500000e-02 1.426477e+00 1.579545e-02 1.579545e-02
+2.250000e-01 2.500000e-02 2.500000e-02 9.217867e-01 2.639679e-02 2.639679e-02
+2.750000e-01 2.500000e-02 2.500000e-02 5.680970e-01 2.179050e-02 2.179050e-02
+3.500000e-01 5.000000e-02 5.000000e-02 1.292565e-01 5.592708e-03 5.592708e-03
+4.500000e-01 5.000000e-02 5.000000e-02 3.854960e-02 2.241511e-03 2.241511e-03
+5.500000e-01 5.000000e-02 5.000000e-02 8.557632e-03 8.616407e-04 8.616407e-04
+8.000000e-01 2.000000e-01 2.000000e-01 1.444000e-04 2.017390e-05 2.017390e-05
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d08-x01-y01
+Path=/REF/CMS_2017_I1605749/d08-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-6.500000e-01 5.000000e-02 5.000000e-02 2.709442e-05 4.923066e-05 4.923066e-05
+-5.500000e-01 5.000000e-02 5.000000e-02 2.829293e-04 8.547927e-05 8.547927e-05
+-4.500000e-01 5.000000e-02 5.000000e-02 2.472542e-03 3.324513e-04 3.324513e-04
+-3.500000e-01 5.000000e-02 5.000000e-02 1.444307e-02 1.058576e-03 1.058576e-03
+-2.500000e-01 5.000000e-02 5.000000e-02 1.024816e-01 4.394384e-03 4.394384e-03
+-1.500000e-01 5.000000e-02 5.000000e-02 6.112089e-01 6.197108e-03 6.197108e-03
+-7.500000e-02 2.500000e-02 2.500000e-02 3.234946e+00 2.430310e-02 2.430310e-02
+-2.500000e-02 2.500000e-02 2.500000e-02 4.738467e+00 5.088200e-02 5.088200e-02
+2.500000e-02 2.500000e-02 2.500000e-02 4.883145e+00 3.165722e-02 3.165722e-02
+7.500000e-02 2.500000e-02 2.500000e-02 3.699915e+00 1.997217e-02 1.997217e-02
+1.500000e-01 5.000000e-02 5.000000e-02 7.924729e-01 1.886407e-02 1.886407e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.636412e-01 8.373675e-03 8.373675e-03
+3.500000e-01 5.000000e-02 5.000000e-02 2.849212e-02 1.933325e-03 1.933325e-03
+4.500000e-01 5.000000e-02 5.000000e-02 5.214703e-03 4.923884e-04 4.923884e-04
+5.500000e-01 5.000000e-02 5.000000e-02 7.375598e-04 1.812751e-04 1.812751e-04
+6.500000e-01 5.000000e-02 5.000000e-02 2.173131e-04 6.148465e-05 6.148465e-05
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d09-x01-y01
+Path=/REF/CMS_2017_I1605749/d09-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-6.500000e-01 5.000000e-02 5.000000e-02 9.861904e-06 7.793240e-06 7.793240e-06
+-5.000000e-01 1.000000e-01 1.000000e-01 1.828894e-04 4.489367e-05 4.489367e-05
+-3.500000e-01 5.000000e-02 5.000000e-02 3.120424e-03 6.348584e-04 6.348584e-04
+-2.500000e-01 5.000000e-02 5.000000e-02 2.975934e-02 1.612434e-03 1.612434e-03
+-1.500000e-01 5.000000e-02 5.000000e-02 3.061667e-01 7.027865e-03 7.027865e-03
+-7.500000e-02 2.500000e-02 2.500000e-02 2.849870e+00 2.740251e-02 2.740251e-02
+-2.500000e-02 2.500000e-02 2.500000e-02 5.812540e+00 4.659198e-02 4.659198e-02
+2.500000e-02 2.500000e-02 2.500000e-02 6.189470e+00 2.668517e-02 2.668517e-02
+7.500000e-02 2.500000e-02 2.500000e-02 3.468272e+00 2.631330e-02 2.631330e-02
+1.500000e-01 5.000000e-02 5.000000e-02 4.407908e-01 1.507520e-02 1.507520e-02
+2.500000e-01 5.000000e-02 5.000000e-02 5.202958e-02 3.507726e-03 3.507726e-03
+3.500000e-01 5.000000e-02 5.000000e-02 6.847593e-03 5.368373e-04 5.368373e-04
+5.000000e-01 1.000000e-01 1.000000e-01 3.751898e-04 5.238007e-05 5.238007e-05
+6.500000e-01 5.000000e-02 5.000000e-02 7.648959e-05 1.999761e-05 1.999761e-05
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d10-x01-y01
+Path=/REF/CMS_2017_I1605749/d10-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-1.225000e+00 2.750000e-01 2.750000e-01 3.421058e-04 4.710536e-05 4.710536e-05
+-8.750000e-01 7.500000e-02 7.500000e-02 1.910337e-02 1.101543e-03 1.101543e-03
+-7.500000e-01 5.000000e-02 5.000000e-02 7.185149e-02 2.805802e-03 2.805802e-03
+-6.500000e-01 5.000000e-02 5.000000e-02 1.389805e-01 3.424273e-03 3.424273e-03
+-5.500000e-01 5.000000e-02 5.000000e-02 2.377079e-01 4.550159e-03 4.550159e-03
+-4.500000e-01 5.000000e-02 5.000000e-02 3.838505e-01 5.687857e-03 5.687857e-03
+-3.500000e-01 5.000000e-02 5.000000e-02 5.727613e-01 4.879146e-03 4.879146e-03
+-2.500000e-01 5.000000e-02 5.000000e-02 8.048558e-01 6.820706e-03 6.820706e-03
+-1.500000e-01 5.000000e-02 5.000000e-02 1.017245e+00 9.403004e-03 9.403004e-03
+-5.000000e-02 5.000000e-02 5.000000e-02 1.198094e+00 1.390294e-02 1.390294e-02
+5.000000e-02 5.000000e-02 5.000000e-02 1.260848e+00 1.286181e-02 1.286181e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.162262e+00 1.434056e-02 1.434056e-02
+2.500000e-01 5.000000e-02 5.000000e-02 9.859681e-01 8.476960e-03 8.476960e-03
+3.500000e-01 5.000000e-02 5.000000e-02 7.667421e-01 4.339038e-03 4.339038e-03
+4.500000e-01 5.000000e-02 5.000000e-02 5.621850e-01 4.108071e-03 4.108071e-03
+5.500000e-01 5.000000e-02 5.000000e-02 3.659907e-01 1.163855e-02 1.163855e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.284498e-01 1.047881e-02 1.047881e-02
+7.500000e-01 5.000000e-02 5.000000e-02 1.437238e-01 4.423955e-03 4.423955e-03
+8.750000e-01 7.500000e-02 7.500000e-02 4.227126e-02 2.137905e-03 2.137905e-03
+1.225000e+00 2.750000e-01 2.750000e-01 8.256735e-04 1.015451e-04 1.015451e-04
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d11-x01-y01
+Path=/REF/CMS_2017_I1605749/d11-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-1.225000e+00 2.750000e-01 2.750000e-01 2.365162e-04 3.687614e-05 3.687614e-05
+-8.750000e-01 7.500000e-02 7.500000e-02 1.476480e-02 1.482611e-03 1.482611e-03
+-7.500000e-01 5.000000e-02 5.000000e-02 5.957307e-02 3.522457e-03 3.522457e-03
+-6.500000e-01 5.000000e-02 5.000000e-02 1.107479e-01 3.952504e-03 3.952504e-03
+-5.500000e-01 5.000000e-02 5.000000e-02 1.957620e-01 6.983976e-03 6.983976e-03
+-4.500000e-01 5.000000e-02 5.000000e-02 3.334009e-01 1.235745e-02 1.235745e-02
+-3.500000e-01 5.000000e-02 5.000000e-02 5.143630e-01 1.137077e-02 1.137077e-02
+-2.500000e-01 5.000000e-02 5.000000e-02 7.633651e-01 1.740957e-02 1.740957e-02
+-1.500000e-01 5.000000e-02 5.000000e-02 9.866631e-01 2.126639e-02 2.126639e-02
+-5.000000e-02 5.000000e-02 5.000000e-02 1.193089e+00 1.510793e-02 1.510793e-02
+5.000000e-02 5.000000e-02 5.000000e-02 1.253392e+00 4.943388e-02 4.943388e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.160751e+00 2.410266e-02 2.410266e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.050172e+00 1.119219e-02 1.119219e-02
+3.500000e-01 5.000000e-02 5.000000e-02 8.260160e-01 2.004987e-02 2.004987e-02
+4.500000e-01 5.000000e-02 5.000000e-02 6.137319e-01 7.877001e-03 7.877001e-03
+5.500000e-01 5.000000e-02 5.000000e-02 4.208676e-01 1.178043e-02 1.178043e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.799637e-01 6.104014e-03 6.104014e-03
+7.500000e-01 5.000000e-02 5.000000e-02 1.474029e-01 5.781886e-03 5.781886e-03
+8.750000e-01 7.500000e-02 7.500000e-02 4.186576e-02 2.220689e-03 2.220689e-03
+1.225000e+00 2.750000e-01 2.750000e-01 8.165596e-04 5.344217e-05 5.344217e-05
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d12-x01-y01
+Path=/REF/CMS_2017_I1605749/d12-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-1.225000e+00 2.750000e-01 2.750000e-01 1.258736e-04 3.513714e-05 3.513714e-05
+-8.750000e-01 7.500000e-02 7.500000e-02 1.076572e-02 1.337762e-03 1.337762e-03
+-7.500000e-01 5.000000e-02 5.000000e-02 4.649278e-02 3.325766e-03 3.325766e-03
+-6.500000e-01 5.000000e-02 5.000000e-02 1.023169e-01 1.284250e-02 1.284250e-02
+-5.500000e-01 5.000000e-02 5.000000e-02 1.863404e-01 1.110202e-02 1.110202e-02
+-4.500000e-01 5.000000e-02 5.000000e-02 3.055699e-01 1.226097e-02 1.226097e-02
+-3.500000e-01 5.000000e-02 5.000000e-02 4.708626e-01 1.087063e-02 1.087063e-02
+-2.500000e-01 5.000000e-02 5.000000e-02 6.874205e-01 2.679132e-02 2.679132e-02
+-1.500000e-01 5.000000e-02 5.000000e-02 9.041115e-01 3.198711e-02 3.198711e-02
+-5.000000e-02 5.000000e-02 5.000000e-02 1.131139e+00 5.012111e-02 5.012111e-02
+5.000000e-02 5.000000e-02 5.000000e-02 1.277057e+00 6.116006e-02 6.116006e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.233990e+00 3.455699e-02 3.455699e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.072753e+00 3.268838e-02 3.268838e-02
+3.500000e-01 5.000000e-02 5.000000e-02 8.861030e-01 1.507426e-02 1.507426e-02
+4.500000e-01 5.000000e-02 5.000000e-02 6.683098e-01 2.209614e-02 2.209614e-02
+5.500000e-01 5.000000e-02 5.000000e-02 4.495475e-01 3.055911e-02 3.055911e-02
+6.500000e-01 5.000000e-02 5.000000e-02 2.993631e-01 1.548675e-02 1.548675e-02
+7.500000e-01 5.000000e-02 5.000000e-02 1.767619e-01 1.114136e-02 1.114136e-02
+8.750000e-01 7.500000e-02 7.500000e-02 5.288699e-02 5.838645e-03 5.838645e-03
+1.225000e+00 2.750000e-01 2.750000e-01 1.034358e-03 2.325357e-04 2.325357e-04
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d13-x01-y01
+Path=/REF/CMS_2017_I1605749/d13-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-7.500000e-01 5.000000e-02 5.000000e-02 1.709090e-04 8.521629e-05 8.521629e-05
+-6.500000e-01 5.000000e-02 5.000000e-02 6.186584e-04 2.068782e-04 2.068782e-04
+-5.500000e-01 5.000000e-02 5.000000e-02 2.255192e-03 3.185266e-04 3.185266e-04
+-4.500000e-01 5.000000e-02 5.000000e-02 9.981812e-03 8.344725e-04 8.344725e-04
+-3.500000e-01 5.000000e-02 5.000000e-02 3.835428e-02 2.363551e-03 2.363551e-03
+-2.500000e-01 5.000000e-02 5.000000e-02 1.431343e-01 3.282041e-03 3.282041e-03
+-1.500000e-01 5.000000e-02 5.000000e-02 6.086049e-01 5.978825e-03 5.978825e-03
+-7.500000e-02 2.500000e-02 2.500000e-02 3.041528e+00 3.232116e-02 3.232116e-02
+-2.500000e-02 2.500000e-02 2.500000e-02 4.435300e+00 3.026518e-02 3.026518e-02
+2.500000e-02 2.500000e-02 2.500000e-02 4.772119e+00 2.803517e-02 2.803517e-02
+7.500000e-02 2.500000e-02 2.500000e-02 3.637791e+00 2.319664e-02 2.319664e-02
+1.500000e-01 5.000000e-02 5.000000e-02 8.709526e-01 9.814733e-03 9.814733e-03
+2.500000e-01 5.000000e-02 5.000000e-02 2.673839e-01 4.137758e-03 4.137758e-03
+3.500000e-01 5.000000e-02 5.000000e-02 8.170489e-02 2.326969e-03 2.326969e-03
+4.500000e-01 5.000000e-02 5.000000e-02 2.361293e-02 9.122386e-04 9.122386e-04
+5.500000e-01 5.000000e-02 5.000000e-02 7.454613e-03 7.215675e-04 7.215675e-04
+6.500000e-01 5.000000e-02 5.000000e-02 1.895336e-03 4.312710e-04 4.312710e-04
+7.500000e-01 5.000000e-02 5.000000e-02 3.394573e-04 1.482535e-04 1.482535e-04
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d14-x01-y01
+Path=/REF/CMS_2017_I1605749/d14-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-7.500000e-01 5.000000e-02 5.000000e-02 1.381187e-04 9.170318e-05 9.170318e-05
+-6.500000e-01 5.000000e-02 5.000000e-02 3.282728e-04 2.153976e-04 2.153976e-04
+-5.500000e-01 5.000000e-02 5.000000e-02 1.386700e-03 2.242357e-04 2.242357e-04
+-4.500000e-01 5.000000e-02 5.000000e-02 6.508276e-03 1.256722e-03 1.256722e-03
+-3.500000e-01 5.000000e-02 5.000000e-02 2.429865e-02 1.512448e-03 1.512448e-03
+-2.500000e-01 5.000000e-02 5.000000e-02 1.077676e-01 4.664736e-03 4.664736e-03
+-1.500000e-01 5.000000e-02 5.000000e-02 5.081034e-01 8.366090e-03 8.366090e-03
+-7.500000e-02 2.500000e-02 2.500000e-02 2.860266e+00 4.049685e-02 4.049685e-02
+-2.500000e-02 2.500000e-02 2.500000e-02 4.524462e+00 1.056147e-01 1.056147e-01
+2.500000e-02 2.500000e-02 2.500000e-02 4.871854e+00 4.807772e-02 4.807772e-02
+7.500000e-02 2.500000e-02 2.500000e-02 3.788162e+00 4.315037e-02 4.315037e-02
+1.500000e-01 5.000000e-02 5.000000e-02 9.374585e-01 9.133638e-03 9.133638e-03
+2.500000e-01 5.000000e-02 5.000000e-02 2.846377e-01 7.870505e-03 7.870505e-03
+3.500000e-01 5.000000e-02 5.000000e-02 7.820144e-02 4.175232e-03 4.175232e-03
+4.500000e-01 5.000000e-02 5.000000e-02 2.090452e-02 3.448888e-03 3.448888e-03
+5.500000e-01 5.000000e-02 5.000000e-02 5.678253e-03 9.482118e-04 9.482118e-04
+6.500000e-01 5.000000e-02 5.000000e-02 1.602569e-03 1.019256e-03 1.019256e-03
+7.500000e-01 5.000000e-02 5.000000e-02 5.367261e-04 4.216201e-04 4.216201e-04
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d15-x01-y01
+Path=/REF/CMS_2017_I1605749/d15-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-7.500000e-01 5.000000e-02 5.000000e-02 4.598294e-05 8.127324e-05 8.127324e-05
+-6.500000e-01 5.000000e-02 5.000000e-02 1.926576e-04 1.394138e-04 1.394138e-04
+-5.500000e-01 5.000000e-02 5.000000e-02 6.906186e-04 3.946075e-04 3.946075e-04
+-4.500000e-01 5.000000e-02 5.000000e-02 4.470060e-03 1.701993e-03 1.701993e-03
+-3.500000e-01 5.000000e-02 5.000000e-02 2.457021e-02 3.327337e-03 3.327337e-03
+-2.500000e-01 5.000000e-02 5.000000e-02 9.756539e-02 7.640166e-03 7.640166e-03
+-1.500000e-01 5.000000e-02 5.000000e-02 4.675580e-01 1.659791e-02 1.659791e-02
+-7.500000e-02 2.500000e-02 2.500000e-02 2.601700e+00 8.171865e-02 8.171865e-02
+-2.500000e-02 2.500000e-02 2.500000e-02 4.229881e+00 9.327837e-02 9.327837e-02
+2.500000e-02 2.500000e-02 2.500000e-02 5.089587e+00 9.133326e-02 9.133326e-02
+7.500000e-02 2.500000e-02 2.500000e-02 4.014126e+00 8.814619e-02 8.814619e-02
+1.500000e-01 5.000000e-02 5.000000e-02 1.001932e+00 3.515821e-02 3.515821e-02
+2.500000e-01 5.000000e-02 5.000000e-02 3.210564e-01 1.635739e-02 1.635739e-02
+3.500000e-01 5.000000e-02 5.000000e-02 8.722584e-02 1.131570e-02 1.131570e-02
+4.500000e-01 5.000000e-02 5.000000e-02 1.911982e-02 4.092581e-03 4.092581e-03
+5.500000e-01 5.000000e-02 5.000000e-02 6.629432e-03 1.932281e-03 1.932281e-03
+6.500000e-01 5.000000e-02 5.000000e-02 1.156876e-03 4.239260e-04 4.239260e-04
+7.500000e-01 5.000000e-02 5.000000e-02 9.933943e-05 1.461844e-04 1.461844e-04
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d16-x01-y01
+Path=/REF/CMS_2017_I1605749/d16-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-6.500000e-01 5.000000e-02 5.000000e-02 2.490450e-05 5.562164e-05 5.562164e-05
+-5.500000e-01 5.000000e-02 5.000000e-02 2.928220e-04 8.905503e-05 8.905503e-05
+-4.500000e-01 5.000000e-02 5.000000e-02 2.560648e-03 3.487898e-04 3.487898e-04
+-3.500000e-01 5.000000e-02 5.000000e-02 1.481801e-02 1.044033e-03 1.044033e-03
+-2.500000e-01 5.000000e-02 5.000000e-02 1.043429e-01 4.466329e-03 4.466329e-03
+-1.500000e-01 5.000000e-02 5.000000e-02 6.175869e-01 6.250565e-03 6.250565e-03
+-7.500000e-02 2.500000e-02 2.500000e-02 3.245475e+00 2.231516e-02 2.231516e-02
+-2.500000e-02 2.500000e-02 2.500000e-02 4.728436e+00 4.889011e-02 4.889011e-02
+2.500000e-02 2.500000e-02 2.500000e-02 4.859461e+00 3.122429e-02 3.122429e-02
+7.500000e-02 2.500000e-02 2.500000e-02 3.694866e+00 2.144161e-02 2.144161e-02
+1.500000e-01 5.000000e-02 5.000000e-02 7.955359e-01 1.840405e-02 1.840405e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.652059e-01 8.356925e-03 8.356925e-03
+3.500000e-01 5.000000e-02 5.000000e-02 2.905031e-02 1.885697e-03 1.885697e-03
+4.500000e-01 5.000000e-02 5.000000e-02 5.398311e-03 4.901020e-04 4.901020e-04
+5.500000e-01 5.000000e-02 5.000000e-02 7.713651e-04 1.894577e-04 1.894577e-04
+6.500000e-01 5.000000e-02 5.000000e-02 2.281851e-04 6.776744e-05 6.776744e-05
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d17-x01-y01
+Path=/REF/CMS_2017_I1605749/d17-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-6.500000e-01 5.000000e-02 5.000000e-02 7.223722e-05 1.934433e-04 1.934433e-04
+-5.500000e-01 5.000000e-02 5.000000e-02 1.100264e-04 1.988247e-05 1.988247e-05
+-4.500000e-01 5.000000e-02 5.000000e-02 7.953270e-04 2.090957e-04 2.090957e-04
+-3.500000e-01 5.000000e-02 5.000000e-02 6.989509e-03 1.287677e-03 1.287677e-03
+-2.500000e-01 5.000000e-02 5.000000e-02 6.433935e-02 2.372599e-03 2.372599e-03
+-1.500000e-01 5.000000e-02 5.000000e-02 4.817678e-01 1.409664e-02 1.409664e-02
+-7.500000e-02 2.500000e-02 2.500000e-02 3.042292e+00 5.851387e-02 5.851387e-02
+-2.500000e-02 2.500000e-02 2.500000e-02 4.866278e+00 7.083916e-02 7.083916e-02
+2.500000e-02 2.500000e-02 2.500000e-02 5.290829e+00 1.369612e-01 1.369612e-01
+7.500000e-02 2.500000e-02 2.500000e-02 3.875042e+00 3.557274e-02 3.557274e-02
+1.500000e-01 5.000000e-02 5.000000e-02 7.518565e-01 3.726708e-02 3.726708e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.362548e-01 7.795462e-03 7.795462e-03
+3.500000e-01 5.000000e-02 5.000000e-02 1.848164e-02 1.800194e-03 1.800194e-03
+4.500000e-01 5.000000e-02 5.000000e-02 1.956480e-03 6.753187e-04 6.753187e-04
+5.500000e-01 5.000000e-02 5.000000e-02 1.410043e-04 1.289344e-04 1.289344e-04
+6.500000e-01 5.000000e-02 5.000000e-02 1.526690e-05 3.603651e-05 3.603651e-05
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2017_I1605749/d18-x01-y01
+Path=/REF/CMS_2017_I1605749/d18-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-5.500000e-01 5.000000e-02 5.000000e-02 7.040043e-05 2.490852e-04 2.490852e-04
+-4.500000e-01 5.000000e-02 5.000000e-02 4.328161e-04 7.751530e-05 7.751530e-05
+-3.500000e-01 5.000000e-02 5.000000e-02 3.994438e-03 1.242798e-03 1.242798e-03
+-2.500000e-01 5.000000e-02 5.000000e-02 5.003189e-02 5.152714e-03 5.152714e-03
+-1.500000e-01 5.000000e-02 5.000000e-02 4.070209e-01 1.769908e-02 1.769908e-02
+-7.500000e-02 2.500000e-02 2.500000e-02 2.798769e+00 1.589209e-01 1.589209e-01
+-2.500000e-02 2.500000e-02 2.500000e-02 4.844415e+00 2.203249e-01 2.203249e-01
+2.500000e-02 2.500000e-02 2.500000e-02 5.562845e+00 1.372465e-01 1.372465e-01
+7.500000e-02 2.500000e-02 2.500000e-02 3.972079e+00 1.065608e-01 1.065608e-01
+1.500000e-01 5.000000e-02 5.000000e-02 8.057614e-01 3.148801e-02 3.148801e-02
+2.500000e-01 5.000000e-02 5.000000e-02 1.261788e-01 1.381910e-02 1.381910e-02
+3.500000e-01 5.000000e-02 5.000000e-02 1.510441e-02 2.744357e-03 2.744357e-03
+4.500000e-01 5.000000e-02 5.000000e-02 2.046922e-03 7.636904e-04 7.636904e-04
+5.500000e-01 5.000000e-02 5.000000e-02 3.038865e-04 1.409418e-04 1.409418e-04
+# END YODA_SCATTER2D
+
diff --git a/analyses/pluginCMS/CMS_2017_I1635889.cc b/analyses/pluginCMS/CMS_2017_I1635889.cc
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2017_I1635889.cc
@@ -0,0 +1,119 @@
+// -*- C++ -*-
+#include "Rivet/Analysis.hh"
+#include "Rivet/Projections/FinalState.hh"
+#include "Rivet/Projections/ZFinder.hh"
+#include "Rivet/Projections/FinalState.hh"
+#include "Rivet/Projections/ChargedFinalState.hh"
+#include "Rivet/Projections/VetoedFinalState.hh"
+//#include "Rivet/ParticleName.hh"
+
+namespace Rivet {
+
+
+
+
+ /// Underlying event activity in the Drell-Yan process at 13 TeV
+ class CMS_2017_I1635889 : public Analysis {
+ public:
+
+ /// Constructor
+ CMS_2017_I1635889()
+ : Analysis("CMS_2017_I1635889")
+ { }
+
+
+ /// Initialization
+ void init() {
+
+ /// @note Using a bare muon Z (but with a clustering radius!?)
+ Cut cut = Cuts::abseta < 2.4 && Cuts::pT > 10*GeV;
+ ZFinder zfinder(FinalState(), cut, PID::MUON, 81*GeV, 101*GeV, 0.2, ZFinder::NOCLUSTER);
+ addProjection(zfinder, "ZFinder");
+
+ ChargedFinalState cfs(zfinder.remainingFinalState());
+ addProjection(cfs, "cfs");
+
+ book(_h_Nchg_towards_pTmumu , 1, 1, 1);
+ book(_h_Nchg_transverse_pTmumu , 2, 1, 1);
+ book(_h_Nchg_away_pTmumu , 3, 1, 1);
+ book(_h_pTsum_towards_pTmumu , 4, 1, 1);
+ book(_h_pTsum_transverse_pTmumu , 5, 1, 1);
+ book(_h_pTsum_away_pTmumu , 6, 1, 1);
+ }
+
+
+ /// Perform the per-event analysis
+ void analyze(const Event& event) {
+ const ZFinder& zfinder = applyProjection<ZFinder>(event, "ZFinder");
+
+ if (zfinder.bosons().size() != 1) vetoEvent;
+ if (zfinder.constituents()[0].pT()<20 && zfinder.constituents()[1].pT()<20)vetoEvent;
+ //std::cout<<"pt[0] = "<<zfinder.constituents()[0].pT()<<"pt[1] = "<<zfinder.constituents()[1].pT()<<std::endl;
+ double Zpt = zfinder.bosons()[0].pT()/GeV;
+ double Zphi = zfinder.bosons()[0].phi();
+ //double Zmass = zfinder.bosons()[0].mass()/GeV;
+
+ Particles particles = applyProjection<ChargedFinalState>(event, "cfs").particlesByPt(Cuts::pT > 0.5*GeV && Cuts::abseta <2.0);
+
+ int nTowards = 0;
+ int nTransverse = 0;
+ int nAway = 0;
+ double ptSumTowards = 0;
+ double ptSumTransverse = 0;
+ double ptSumAway = 0;
+
+ for (const Particle& p : particles) {
+ double dphi = fabs(deltaPhi(Zphi, p.phi()));
+ double pT = p.pT();
+
+ if ( dphi < M_PI/3 ) {
+ nTowards++;
+ ptSumTowards += pT;
+ } else if ( dphi < 2.*M_PI/3 ) {
+ nTransverse++;
+ ptSumTransverse += pT;
+ } else {
+ nAway++;
+ ptSumAway += pT;
+ }
+
+ } // Loop over particles
+
+
+ const double area = 8./3.*M_PI;
+ _h_Nchg_towards_pTmumu-> fill(Zpt, 1./area * nTowards);
+ _h_Nchg_transverse_pTmumu-> fill(Zpt, 1./area * nTransverse);
+ _h_Nchg_away_pTmumu-> fill(Zpt, 1./area * nAway);
+ _h_pTsum_towards_pTmumu-> fill(Zpt, 1./area * ptSumTowards);
+ _h_pTsum_transverse_pTmumu-> fill(Zpt, 1./area * ptSumTransverse);
+ _h_pTsum_away_pTmumu-> fill(Zpt, 1./area * ptSumAway);
+
+
+ }
+
+
+ /// Normalise histograms etc., after the run
+ void finalize() {
+ }
+
+
+ private:
+
+
+ /// @name Histogram objects
+ //@{
+ Profile1DPtr _h_Nchg_towards_pTmumu;
+ Profile1DPtr _h_Nchg_transverse_pTmumu;
+ Profile1DPtr _h_Nchg_away_pTmumu;
+ Profile1DPtr _h_pTsum_towards_pTmumu;
+ Profile1DPtr _h_pTsum_transverse_pTmumu;
+ Profile1DPtr _h_pTsum_away_pTmumu;
+ //@}
+
+ };
+
+
+ // Hook for the plugin system
+ DECLARE_RIVET_PLUGIN(CMS_2017_I1635889);
+
+}
diff --git a/analyses/pluginCMS/CMS_2017_I1635889.info b/analyses/pluginCMS/CMS_2017_I1635889.info
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2017_I1635889.info
@@ -0,0 +1,43 @@
+Name: CMS_2017_I1635889
+Year: 2017
+Summary: Measurement of the underlying event using inclusive Z-boson production in proton-proton collisions at $\sqrt{s} = 13$ TeV
+Experiment: CMS
+Collider: LHC
+InspireID: 1635889
+Status: VALIDATED
+Authors:
+ - Rajat Gupta (rajat.gupta@cern.ch)
+ - Ramandeep Kumar
+ - Ankita Mehta
+ - Sunil Bansal
+ - J.B. Singh
+References:
+ - CMS FSQ-16-008
+ - arXiv:1711.04299
+RunInfo: Drell-Yan events with $Z/\gamma^* \to \mu\mu$.
+Beams: [p+, p+]
+Energies: [13000]
+Description:
+ Measurement of the underlying event activity, in proton-proton collisions at a centre-of-mass
+ energy of $13~\mathrm{TeV}$, performed using inclusive Z-boson events collected by the CMS
+ experiment at the Large Hadron Collider. The analyzed data corresponds to an integrated
+ luminosity of $2.1~\mathrm{fb}^{-1}$. The underlying event activity is quantified in terms
+ of charged particle multiplicity and their scalar sum of their transverse momentum in
+ different topological regions defined with respect to the resultatnt azimuthal direction
+ of the two muons coming from the decay of a Z-boson. The distributions are unfolded to
+ stable charged-particle level and are compared with predictions from various simulations,
+ as well as with the measurements at a centre-of-mass energy of $1.96~\mathrm{TeV}$ and
+ $7~\mathrm{TeV}$ by the CDF and CMS experiments.
+BibKey: Sirunyan:2017vio
+BibTeX:'@article{Sirunyan:2017vio,
+ author = "Sirunyan, Albert M and others",
+ title = "{Measurement of the underlying event activity in
+ inclusive Z boson production in proton-proton collisions
+ at $\sqrt{s} = $ 13 TeV}",
+ collaboration = "CMS",
+ year = "2017",
+ eprint = "1711.04299",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ reportNumber = "CMS-FSQ-16-008, CERN-EP-2017-249",
+ SLACcitation = "%%CITATION = ARXIV:1711.04299;%%"}'
diff --git a/analyses/pluginCMS/CMS_2017_I1635889.plot b/analyses/pluginCMS/CMS_2017_I1635889.plot
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2017_I1635889.plot
@@ -0,0 +1,40 @@
+# BEGIN PLOT /CMS_2017_I1635889/d0
+LogY=0
+LegendYPos=0.4
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1635889/d0[1-3]
+XLabel=$p_\perp(\mu\mu)$ [GeV]
+YLabel=$\langle\mathrm{d}^2 N_\text{chg}/\mathrm{d}\eta\mathrm{d}\phi\rangle$
+Title=CMS, 13 TeV, pp \rightarrow Z + X \rightarrow \mu^{+}\mu^{-} + X
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1635889/d01-x01-y01
+Title=$CMS, 13 TeV, pp \rightarrow Z + X \rightarrow \mu^{+}\mu^{-} + X, Towards$
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1635889/d02-x01-y01
+Title=$CMS, 13 TeV, pp \rightarrow Z + X \rightarrow \mu^{+}\mu^{-} + X, Transverse$
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1635889/d03-x01-y01
+Title=$CMS, 13 TeV, pp \rightarrow Z + X \rightarrow \mu^{+}\mu^{-} + X, Away$
+# END PLOT
+
+
+# BEGIN PLOT /CMS_2017_I1635889/d0[4-6]
+XLabel=$p_\perp(\mu\mu)$ [GeV]
+YLabel=$\langle\mathrm{d}^2 \sum p_\perp/\mathrm{d}\eta\mathrm{d}\phi\rangle$ [GeV]
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1635889/d04-x01-y01
+Title=$CMS, 13 TeV, pp \rightarrow Z + X \rightarrow \mu^{+}\mu^{-} + X, Towards$
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1635889/d05-x01-y01
+Title=$CMS, 13 TeV, pp \rightarrow Z + X \rightarrow \mu^{+}\mu^{-} + X, Transverse$
+# END PLOT
+
+# BEGIN PLOT /CMS_2017_I1635889/d06-x01-y01
+Title=$CMS, 13 TeV, pp \rightarrow Z + X \rightarrow \mu^{+}\mu^{-} + X, Away$
+# END PLOT
diff --git a/analyses/pluginCMS/CMS_2017_I1635889.yoda b/analyses/pluginCMS/CMS_2017_I1635889.yoda
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2017_I1635889.yoda
@@ -0,0 +1,150 @@
+BEGIN YODA_SCATTER2D /REF/CMS_2017_I1635889/d03-x01-y01
+IsRef=1
+Path=/REF/CMS_2017_I1635889/d03-x01-y01
+Title=
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e+00 2.500000e+00 2.500000e+00 9.700000e-01 5.072250e-02 5.072250e-02
+7.500000e+00 2.500000e+00 2.500000e+00 1.100000e+00 5.773420e-02 5.773420e-02
+1.250000e+01 2.500000e+00 2.500000e+00 1.250000e+00 6.572810e-02 6.572810e-02
+1.750000e+01 2.500000e+00 2.500000e+00 1.370000e+00 7.292220e-02 7.292220e-02
+2.250000e+01 2.500000e+00 2.500000e+00 1.470000e+00 7.650550e-02 7.650550e-02
+2.750000e+01 2.500000e+00 2.500000e+00 1.540000e+00 7.838580e-02 7.838580e-02
+3.250000e+01 2.500000e+00 2.500000e+00 1.630000e+00 8.277750e-02 8.277750e-02
+3.750000e+01 2.500000e+00 2.500000e+00 1.700000e+00 8.790740e-02 8.790740e-02
+4.250000e+01 2.500000e+00 2.500000e+00 1.750000e+00 8.748780e-02 8.748780e-02
+4.750000e+01 2.500000e+00 2.500000e+00 1.810000e+00 9.206590e-02 9.206590e-02
+5.250000e+01 2.500000e+00 2.500000e+00 1.870000e+00 9.213530e-02 9.213530e-02
+5.750000e+01 2.500000e+00 2.500000e+00 1.890000e+00 9.421410e-02 9.421410e-02
+6.250000e+01 2.500000e+00 2.500000e+00 1.960000e+00 1.013710e-01 1.013710e-01
+6.750000e+01 2.500000e+00 2.500000e+00 2.010000e+00 9.934550e-02 9.934550e-02
+7.500000e+01 5.000000e+00 5.000000e+00 2.060000e+00 1.038090e-01 1.038090e-01
+8.500000e+01 5.000000e+00 5.000000e+00 2.160000e+00 1.051140e-01 1.051140e-01
+9.500000e+01 5.000000e+00 5.000000e+00 2.230000e+00 1.068580e-01 1.068580e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2017_I1635889/d05-x01-y01
+IsRef=1
+Path=/REF/CMS_2017_I1635889/d05-x01-y01
+Title=
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e+00 2.500000e+00 2.500000e+00 1.000000e+00 5.814880e-02 5.814880e-02
+7.500000e+00 2.500000e+00 2.500000e+00 1.110000e+00 6.482010e-02 6.482010e-02
+1.250000e+01 2.500000e+00 2.500000e+00 1.210000e+00 7.383790e-02 7.383790e-02
+1.750000e+01 2.500000e+00 2.500000e+00 1.290000e+00 8.276890e-02 8.276890e-02
+2.250000e+01 2.500000e+00 2.500000e+00 1.360000e+00 8.936060e-02 8.936060e-02
+2.750000e+01 2.500000e+00 2.500000e+00 1.420000e+00 8.921590e-02 8.921590e-02
+3.250000e+01 2.500000e+00 2.500000e+00 1.500000e+00 9.725440e-02 9.725440e-02
+3.750000e+01 2.500000e+00 2.500000e+00 1.580000e+00 1.197780e-01 1.197780e-01
+4.250000e+01 2.500000e+00 2.500000e+00 1.600000e+00 1.037860e-01 1.037860e-01
+4.750000e+01 2.500000e+00 2.500000e+00 1.650000e+00 1.118250e-01 1.118250e-01
+5.250000e+01 2.500000e+00 2.500000e+00 1.780000e+00 1.097530e-01 1.097530e-01
+5.750000e+01 2.500000e+00 2.500000e+00 1.750000e+00 1.257070e-01 1.257070e-01
+6.250000e+01 2.500000e+00 2.500000e+00 1.830000e+00 1.312610e-01 1.312610e-01
+6.750000e+01 2.500000e+00 2.500000e+00 1.860000e+00 1.294420e-01 1.294420e-01
+7.500000e+01 5.000000e+00 5.000000e+00 1.940000e+00 1.308580e-01 1.308580e-01
+8.500000e+01 5.000000e+00 5.000000e+00 2.010000e+00 1.545350e-01 1.545350e-01
+9.500000e+01 5.000000e+00 5.000000e+00 2.030000e+00 1.084460e-01 1.084460e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2017_I1635889/d02-x01-y01
+IsRef=1
+Path=/REF/CMS_2017_I1635889/d02-x01-y01
+Title=
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e+00 2.500000e+00 2.500000e+00 9.150000e-01 5.079620e-02 5.079620e-02
+7.500000e+00 2.500000e+00 2.500000e+00 9.770000e-01 5.346710e-02 5.346710e-02
+1.250000e+01 2.500000e+00 2.500000e+00 1.030000e+00 5.781890e-02 5.781890e-02
+1.750000e+01 2.500000e+00 2.500000e+00 1.070000e+00 5.940100e-02 5.940100e-02
+2.250000e+01 2.500000e+00 2.500000e+00 1.100000e+00 6.447450e-02 6.447450e-02
+2.750000e+01 2.500000e+00 2.500000e+00 1.110000e+00 6.403690e-02 6.403690e-02
+3.250000e+01 2.500000e+00 2.500000e+00 1.140000e+00 6.676430e-02 6.676430e-02
+3.750000e+01 2.500000e+00 2.500000e+00 1.170000e+00 7.196250e-02 7.196250e-02
+4.250000e+01 2.500000e+00 2.500000e+00 1.170000e+00 6.894450e-02 6.894450e-02
+4.750000e+01 2.500000e+00 2.500000e+00 1.190000e+00 7.514340e-02 7.514340e-02
+5.250000e+01 2.500000e+00 2.500000e+00 1.220000e+00 7.159940e-02 7.159940e-02
+5.750000e+01 2.500000e+00 2.500000e+00 1.210000e+00 7.224140e-02 7.224140e-02
+6.250000e+01 2.500000e+00 2.500000e+00 1.230000e+00 7.512150e-02 7.512150e-02
+6.750000e+01 2.500000e+00 2.500000e+00 1.240000e+00 7.504440e-02 7.504440e-02
+7.500000e+01 5.000000e+00 5.000000e+00 1.250000e+00 7.824500e-02 7.824500e-02
+8.500000e+01 5.000000e+00 5.000000e+00 1.270000e+00 7.105290e-02 7.105290e-02
+9.500000e+01 5.000000e+00 5.000000e+00 1.270000e+00 7.036800e-02 7.036800e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2017_I1635889/d04-x01-y01
+IsRef=1
+Path=/REF/CMS_2017_I1635889/d04-x01-y01
+Title=
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e+00 2.500000e+00 2.500000e+00 9.890000e-01 5.727950e-02 5.727950e-02
+7.500000e+00 2.500000e+00 2.500000e+00 1.050000e+00 6.272190e-02 6.272190e-02
+1.250000e+01 2.500000e+00 2.500000e+00 1.110000e+00 6.705450e-02 6.705450e-02
+1.750000e+01 2.500000e+00 2.500000e+00 1.170000e+00 7.461320e-02 7.461320e-02
+2.250000e+01 2.500000e+00 2.500000e+00 1.210000e+00 8.244440e-02 8.244440e-02
+2.750000e+01 2.500000e+00 2.500000e+00 1.240000e+00 8.191220e-02 8.191220e-02
+3.250000e+01 2.500000e+00 2.500000e+00 1.300000e+00 9.011860e-02 9.011860e-02
+3.750000e+01 2.500000e+00 2.500000e+00 1.340000e+00 9.782240e-02 9.782240e-02
+4.250000e+01 2.500000e+00 2.500000e+00 1.370000e+00 9.625370e-02 9.625370e-02
+4.750000e+01 2.500000e+00 2.500000e+00 1.380000e+00 9.442740e-02 9.442740e-02
+5.250000e+01 2.500000e+00 2.500000e+00 1.430000e+00 9.653210e-02 9.653210e-02
+5.750000e+01 2.500000e+00 2.500000e+00 1.480000e+00 1.129740e-01 1.129740e-01
+6.250000e+01 2.500000e+00 2.500000e+00 1.490000e+00 1.115790e-01 1.115790e-01
+6.750000e+01 2.500000e+00 2.500000e+00 1.510000e+00 1.026180e-01 1.026180e-01
+7.500000e+01 5.000000e+00 5.000000e+00 1.520000e+00 1.059780e-01 1.059780e-01
+8.500000e+01 5.000000e+00 5.000000e+00 1.560000e+00 1.083690e-01 1.083690e-01
+9.500000e+01 5.000000e+00 5.000000e+00 1.590000e+00 1.114090e-01 1.114090e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2017_I1635889/d06-x01-y01
+IsRef=1
+Path=/REF/CMS_2017_I1635889/d06-x01-y01
+Title=
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e+00 2.500000e+00 2.500000e+00 1.080000e+00 5.943140e-02 5.943140e-02
+7.500000e+00 2.500000e+00 2.500000e+00 1.300000e+00 7.231040e-02 7.231040e-02
+1.250000e+01 2.500000e+00 2.500000e+00 1.580000e+00 8.863440e-02 8.863440e-02
+1.750000e+01 2.500000e+00 2.500000e+00 1.890000e+00 1.077720e-01 1.077720e-01
+2.250000e+01 2.500000e+00 2.500000e+00 2.190000e+00 1.216280e-01 1.216280e-01
+2.750000e+01 2.500000e+00 2.500000e+00 2.500000e+00 1.366860e-01 1.366860e-01
+3.250000e+01 2.500000e+00 2.500000e+00 2.840000e+00 1.479410e-01 1.479410e-01
+3.750000e+01 2.500000e+00 2.500000e+00 3.150000e+00 1.694120e-01 1.694120e-01
+4.250000e+01 2.500000e+00 2.500000e+00 3.460000e+00 1.754810e-01 1.754810e-01
+4.750000e+01 2.500000e+00 2.500000e+00 3.770000e+00 1.915400e-01 1.915400e-01
+5.250000e+01 2.500000e+00 2.500000e+00 4.080000e+00 2.011230e-01 2.011230e-01
+5.750000e+01 2.500000e+00 2.500000e+00 4.420000e+00 2.224580e-01 2.224580e-01
+6.250000e+01 2.500000e+00 2.500000e+00 4.690000e+00 2.330180e-01 2.330180e-01
+6.750000e+01 2.500000e+00 2.500000e+00 5.030000e+00 2.377800e-01 2.377800e-01
+7.500000e+01 5.000000e+00 5.000000e+00 5.510000e+00 2.764980e-01 2.764980e-01
+8.500000e+01 5.000000e+00 5.000000e+00 6.160000e+00 2.900370e-01 2.900370e-01
+9.500000e+01 5.000000e+00 5.000000e+00 6.800000e+00 3.306480e-01 3.306480e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/CMS_2017_I1635889/d01-x01-y01
+IsRef=1
+Path=/REF/CMS_2017_I1635889/d01-x01-y01
+Title=
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e+00 2.500000e+00 2.500000e+00 9.020000e-01 4.926570e-02 4.926570e-02
+7.500000e+00 2.500000e+00 2.500000e+00 9.360000e-01 5.147780e-02 5.147780e-02
+1.250000e+01 2.500000e+00 2.500000e+00 9.730000e-01 5.447160e-02 5.447160e-02
+1.750000e+01 2.500000e+00 2.500000e+00 1.000000e+00 5.770820e-02 5.770820e-02
+2.250000e+01 2.500000e+00 2.500000e+00 1.020000e+00 5.975170e-02 5.975170e-02
+2.750000e+01 2.500000e+00 2.500000e+00 1.030000e+00 5.931460e-02 5.931460e-02
+3.250000e+01 2.500000e+00 2.500000e+00 1.050000e+00 6.216820e-02 6.216820e-02
+3.750000e+01 2.500000e+00 2.500000e+00 1.060000e+00 6.386340e-02 6.386340e-02
+4.250000e+01 2.500000e+00 2.500000e+00 1.070000e+00 6.093020e-02 6.093020e-02
+4.750000e+01 2.500000e+00 2.500000e+00 1.060000e+00 6.223400e-02 6.223400e-02
+5.250000e+01 2.500000e+00 2.500000e+00 1.100000e+00 6.072840e-02 6.072840e-02
+5.750000e+01 2.500000e+00 2.500000e+00 1.110000e+00 6.899320e-02 6.899320e-02
+6.250000e+01 2.500000e+00 2.500000e+00 1.100000e+00 6.679000e-02 6.679000e-02
+6.750000e+01 2.500000e+00 2.500000e+00 1.130000e+00 6.576330e-02 6.576330e-02
+7.500000e+01 5.000000e+00 5.000000e+00 1.110000e+00 6.443760e-02 6.443760e-02
+8.500000e+01 5.000000e+00 5.000000e+00 1.110000e+00 6.253490e-02 6.253490e-02
+9.500000e+01 5.000000e+00 5.000000e+00 1.130000e+00 6.494343e-02 6.494343e-02
+END YODA_SCATTER2D
+
diff --git a/analyses/pluginCMS/CMS_2018_I1662081.cc b/analyses/pluginCMS/CMS_2018_I1662081.cc
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2018_I1662081.cc
@@ -0,0 +1,170 @@
+#include "Rivet/Analysis.hh"
+#include "Rivet/Projections/FinalState.hh"
+#include "Rivet/Projections/FastJets.hh"
+#include "Rivet/Projections/ChargedLeptons.hh"
+#include "Rivet/Projections/DressedLeptons.hh"
+#include "Rivet/Projections/IdentifiedFinalState.hh"
+#include "Rivet/Projections/PromptFinalState.hh"
+#include "Rivet/Projections/VetoedFinalState.hh"
+#include "Rivet/Projections/MissingMomentum.hh"
+
+namespace Rivet {
+
+
+ class CMS_2018_I1662081 : public Analysis {
+ public:
+
+ // Minimal constructor
+ CMS_2018_I1662081()
+ : Analysis("CMS_2018_I1662081") {}
+
+
+ // Set up projections and book histograms
+ void init() {
+ // Complete final state
+ FinalState fs( (Cuts::abseta < 5) and (Cuts::pT > 0.0*MeV) );
+
+ // Dressed leptons
+ ChargedLeptons charged_leptons(fs);
+ IdentifiedFinalState photons(fs);
+ photons.acceptIdPair(PID::PHOTON);
+
+ PromptFinalState prompt_leptons(charged_leptons);
+ prompt_leptons.acceptMuonDecays(true);
+ prompt_leptons.acceptTauDecays(true);
+ PromptFinalState prompt_photons(photons);
+ prompt_photons.acceptMuonDecays(true);
+ prompt_photons.acceptTauDecays(true);
+ Cut looseLeptonCuts = Cuts::pt > 15*GeV && Cuts::abseta < 2.4;
+
+ DressedLeptons dressed_leptons(prompt_photons, prompt_leptons, 0.1, looseLeptonCuts, true);
+ declare(dressed_leptons, "DressedLeptons");
+
+ // Projection for jets
+ VetoedFinalState fsForJets(fs);
+ fsForJets.addVetoOnThisFinalState(dressed_leptons);
+ declare(FastJets(fsForJets, FastJets::ANTIKT, 0.4), "Jets");
+
+ // Projections for MET
+ declare(MissingMomentum(fs), "MET");
+
+ // Booking of histograms
+ book(_hist_norm_met , 4, 1, 1);
+ book(_hist_norm_ht , 2, 1, 1);
+ book(_hist_norm_st , 3, 1, 1);
+ book(_hist_norm_wpt , 5, 1, 1);
+ book(_hist_norm_njets , 1, 1, 1);
+ book(_hist_norm_lpt , 6, 1, 1);
+ book(_hist_norm_labseta , 7, 1, 1);
+
+ book(_hist_abs_met , 11, 1, 1);
+ book(_hist_abs_ht , 9, 1, 1);
+ book(_hist_abs_st , 10, 1, 1);
+ book(_hist_abs_wpt , 12, 1, 1);
+ book(_hist_abs_njets , 8, 1, 1);
+ book(_hist_abs_lpt , 13, 1, 1);
+ book(_hist_abs_labseta , 14, 1, 1);
+
+ }
+
+
+ // per event analysis
+ void analyze(const Event& event) {
+
+ // Lepton veto selection
+ const DressedLeptons& dressed_leptons = applyProjection<DressedLeptons>(event, "DressedLeptons");
+ if (dressed_leptons.dressedLeptons().size() != 1) vetoEvent;
+
+ // Signal lepton selection
+ FourMomentum lepton = dressed_leptons.dressedLeptons()[0];
+
+ const double leptonPt = lepton.pT();
+ const double leptonAbsEta = std::abs( lepton.eta() );
+ if (leptonPt <= 26*GeV || leptonAbsEta >= 2.4) vetoEvent;
+
+ // Jet selection
+ const FastJets& jetpro = applyProjection<FastJets>(event, "Jets");
+ const Jets jets = jetpro.jets(Cuts::abseta < 2.4 && Cuts::pT > 20*GeV);
+ Jets cleanedJets;
+ unsigned int nJetsAbove30GeV = 0;
+ unsigned int nJetsAbove20GeV = 0;
+ unsigned int nBJetsAbove30GeV = 0;
+ unsigned int nBJetsAbove20GeV = 0;
+ for (const Jet& j : jets) {
+ cleanedJets.push_back( j );
+ ++nJetsAbove20GeV;
+ if ( j.pT() > 30*GeV) ++nJetsAbove30GeV;
+
+ if ( j.bTagged() ) {
+ ++nBJetsAbove20GeV;
+ if ( j.pT() > 30*GeV) ++nBJetsAbove30GeV;
+ }
+ }
+
+ if ( nJetsAbove30GeV < 3 || nJetsAbove20GeV < 4 ) vetoEvent;
+ if ( nBJetsAbove30GeV < 1 || nBJetsAbove20GeV < 2 ) vetoEvent;
+
+ // MET
+ const MissingMomentum& met = applyProjection<MissingMomentum>(event, "MET");
+ _hist_norm_met->fill(met.visibleMomentum().pT()/GeV);
+ _hist_abs_met->fill(met.visibleMomentum().pT()/GeV);
+
+ // HT and ST
+ double ht = 0.0;
+ for (const Jet& j : cleanedJets) ht += j.pT();
+
+ double st = ht + lepton.pT() + met.visibleMomentum().pT();
+ _hist_norm_ht->fill(ht/GeV);
+ _hist_norm_st->fill(st/GeV);
+ _hist_abs_ht->fill(ht/GeV);
+ _hist_abs_st->fill(st/GeV);
+
+ // WPT
+ FourMomentum w = lepton - met.visibleMomentum();
+ _hist_norm_wpt->fill(w.pT()/GeV);
+ _hist_abs_wpt->fill(w.pT()/GeV);
+
+ // Lepton pt and eta
+ _hist_norm_lpt->fill( leptonPt/GeV);
+ _hist_norm_labseta->fill( leptonAbsEta/GeV);
+
+ _hist_abs_lpt->fill( leptonPt/GeV);
+ _hist_abs_labseta->fill( leptonAbsEta/GeV);
+
+ // NJets
+ _hist_norm_njets->fill( cleanedJets.size());
+ _hist_abs_njets->fill( cleanedJets.size());
+
+ }
+
+
+ void finalize() {
+ normalize(_hist_norm_met);
+ normalize(_hist_norm_ht);
+ normalize(_hist_norm_st);
+ normalize(_hist_norm_wpt);
+ normalize(_hist_norm_njets);
+ normalize(_hist_norm_lpt);
+ normalize(_hist_norm_labseta);
+
+ scale(_hist_abs_met, crossSection()/picobarn / sumOfWeights());
+ scale(_hist_abs_ht, crossSection()/picobarn / sumOfWeights());
+ scale(_hist_abs_st, crossSection()/picobarn / sumOfWeights());
+ scale(_hist_abs_wpt, crossSection()/picobarn / sumOfWeights());
+ scale(_hist_abs_njets, crossSection()/picobarn / sumOfWeights());
+ scale(_hist_abs_lpt, crossSection()/picobarn / sumOfWeights());
+ scale(_hist_abs_labseta, crossSection()/picobarn / sumOfWeights());
+
+ }
+
+
+ private:
+ Histo1DPtr _hist_norm_met, _hist_norm_ht, _hist_norm_st, _hist_norm_wpt, _hist_norm_njets, _hist_norm_lpt, _hist_norm_labseta;
+ Histo1DPtr _hist_abs_met, _hist_abs_ht, _hist_abs_st, _hist_abs_wpt, _hist_abs_njets, _hist_abs_lpt, _hist_abs_labseta;
+
+ };
+
+
+ DECLARE_RIVET_PLUGIN(CMS_2018_I1662081);
+
+}
diff --git a/analyses/pluginCMS/CMS_2018_I1662081.info b/analyses/pluginCMS/CMS_2018_I1662081.info
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2018_I1662081.info
@@ -0,0 +1,51 @@
+Name: CMS_2018_I1662081
+Year: 2017
+Summary: Measurement of the differential cross sections of top quark pair production as a function of kinematic event variables in pp collisions at sqrt(s) = 13 TeV
+Experiment: CMS
+Collider: LHC
+InspireID: 1662081
+Status: VALIDATED
+Authors:
+ - Doug Burns <Douglas.Burns@cern.ch>
+ - Emyr Clement <Emyr.Clement@bristol.ac.uk>
+ - Markus Seidel <markus.seidel@cern.ch>
+
+References:
+ - TOP-16-014
+ - arxiv:1803.03991
+ - Submitted to JHEP
+RunInfo:
+ ttbar events at sqrt(s) = 13 TeV, lepton+jets selection at particle level
+Luminosity: 35.9 / fb
+Beams: [p+, p+]
+Energies: [13000]
+Description:
+ 'Abstract :
+
+ Measurements of the differential $\mathrm{t}\overline{\mathrm{t}}$ production cross section are presented in the single-lepton decay channel, with respect to a number of global event observables. The measurements are performed with $\text{35.9~fb}^{-1}$ of proton-proton collision data collected by the CMS experiment at the LHC during 2016 at $\sqrt{s} = \text{13~TeV}$. The differential cross sections are measured at the level of long-lived generated particles in a phase space similar to that accessible by the CMS detector, and are compared to state-of-the-art leading-order and next-to-leading-order $\mathrm{t}\overline{\mathrm{t}}$ simulations.
+
+ Rivet :
+
+ This analysis is to be run on ${\rm t\bar{t}}$ simulation.
+
+ The particle level selection requires:
+ - exactly one electron or muon with $p_{T} > 26$~GeV and $|\eta| < 2.4$
+ - no additional electrons or muons with $p_{T} > 15$~GeV and $|\eta| < 2.4$
+ - at least thress jets with $p_{T} > 30$~GeV and $|\eta| < 2.4$, and one jet with $p_{T} > 25$~GeV and $|\eta| < 2.4$
+ - two of these selected jets must be tagged as originating from a b quark.
+ '
+
+BibKey: Sirunyan:2018ptc
+BibTeX: '@article{Sirunyan:2018ptc,
+ author = "Sirunyan, Albert M and others",
+ title = "{Measurements of differential cross sections of top quark
+ pair production as a function of kinematic event variables
+ in proton-proton collisions at $\sqrt{s}=$ 13 TeV}",
+ collaboration = "CMS",
+ year = "2018",
+ eprint = "1803.03991",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ reportNumber = "CMS-TOP-16-014, CERN-EP-2018-013",
+ SLACcitation = "%%CITATION = ARXIV:1803.03991;%%"
+}'
diff --git a/analyses/pluginCMS/CMS_2018_I1662081.plot b/analyses/pluginCMS/CMS_2018_I1662081.plot
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2018_I1662081.plot
@@ -0,0 +1,79 @@
+# BEGIN PLOT /CMS_2018_I1662081/*
+LogY=0
+LogX=0
+XTwosidedTicks=1
+YTwosidedTicks=1
+#NormalizeToIntegral=1
+LegendXPos=0.4
+Title=CMS, 13 TeV, $t\bar{t}$ lepton+jets
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d01-x01-y01
+XLabel=$N_{\mathrm{Jets}}$
+YLabel=$1/\sigma \, \mathrm{d}\sigma/\mathrm{d}N_{\mathrm{Jets}}$
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d02-x01-y01
+XLabel=$H_T$ [GeV]
+YLabel=$1/\sigma \, \mathrm{d}\sigma/\mathrm{d}H_T$ [GeV$^{-1}$]
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d03-x01-y01
+XLabel=$S_T$ [GeV]
+YLabel=$1/\sigma \, \mathrm{d}\sigma/\mathrm{d}S_T$ [GeV$^{-1}$]
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d04-x01-y01
+XLabel=$p_T^{\mathrm{miss}}$ [GeV]
+YLabel=$1/\sigma \, \mathrm{d}\sigma/\mathrm{d}p_T^{\mathrm{miss}}$ [GeV$^{-1}$]
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d05-x01-y01
+XLabel=$p_T^W$ [GeV]
+YLabel=$1/\sigma \, \mathrm{d}\sigma/\mathrm{d}p_T^W$ [GeV$^{-1}$]
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d06-x01-y01
+XLabel=$p_T^{\ell}$ [GeV]
+YLabel=$1/\sigma \, \mathrm{d}\sigma/\mathrm{d}p_T^{\ell}$ [GeV$^{-1}$]
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d07-x01-y01
+XLabel=$|\eta^{\ell}|$
+YLabel=$1/\sigma \, \mathrm{d}\sigma/\mathrm{d}|\eta^{\ell}|$
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d08-x01-y01
+XLabel=$N_{\mathrm{Jets}}$
+YLabel=$\mathrm{d}\sigma/\mathrm{d}N_{\mathrm{Jets}}$ [pb]
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d09-x01-y01
+XLabel=$H_T$ [GeV]
+YLabel=$\mathrm{d}\sigma/\mathrm{d}H_T$ [pb GeV$^{-1}$]
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d10-x01-y01
+XLabel=$S_T$ [GeV]
+YLabel=$\mathrm{d}\sigma/\mathrm{d}S_T$ [pb GeV$^{-1}$]
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d11-x01-y01
+XLabel=$p_T^{\mathrm{miss}}$ [GeV]
+YLabel=$\mathrm{d}\sigma/\mathrm{d}p_T^{\mathrm{miss}}$ [pb GeV$^{-1}$]
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d12-x01-y01
+XLabel=$p_T^W$ [GeV]
+YLabel=$\mathrm{d}\sigma/\mathrm{d}p_T^W$ [pb GeV$^{-1}$]
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d13-x01-y01
+XLabel=$p_T^{\ell}$ [GeV]
+YLabel=$\mathrm{d}\sigma/\mathrm{d}p_T^{\ell}$ [pb GeV$^{-1}$]
+# END PLOT
+
+# BEGIN PLOT /CMS_2018_I1662081/d14-x01-y01
+XLabel=$|\eta^{\ell}|$
+YLabel=$\mathrm{d}\sigma/\mathrm{d}|\eta^{\ell}|$ [pb]
+# END PLOT
\ No newline at end of file
diff --git a/analyses/pluginCMS/CMS_2018_I1662081.yoda b/analyses/pluginCMS/CMS_2018_I1662081.yoda
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2018_I1662081.yoda
@@ -0,0 +1,236 @@
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d02-x01-y01
+Path=/REF/CMS_2018_I1662081/d02-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+165.0 55.0 55.0 0.001796651 0.000253865817396 0.000253865817396
+247.5 27.5 27.5 0.004130894 0.00011442023182 0.00011442023182
+307.5 32.5 32.5 0.003159743 0.000109677821326 0.000109677821326
+375.0 35.0 35.0 0.001999452 8.27341698722e-05 8.27341698722e-05
+447.5 37.5 37.5 0.001178716 5.05545958648e-05 5.05545958648e-05
+527.5 42.5 42.5 0.000673415 3.32651501338e-05 3.32651501338e-05
+615.0 45.0 45.0 0.0003752459 2.12364416915e-05 2.12364416915e-05
+710.0 50.0 50.0 0.0002049088 1.1070256448e-05 1.1070256448e-05
+815.0 55.0 55.0 0.0001154117 8.6411489375e-06 8.6411489375e-06
+930.0 60.0 60.0 6.230201e-05 3.81316592107e-06 3.81316592107e-06
+1052.5 62.5 62.5 3.280609e-05 4.31998961013e-06 4.31998961013e-06
+1182.5 67.5 67.5 1.789578e-05 2.2476503454e-06 2.2476503454e-06
+1587.5 337.5 337.5 4.783798e-06 5.95278050646e-07 5.95278050646e-07
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d04-x01-y01
+Path=/REF/CMS_2018_I1662081/d04-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+25.0 25.0 25.0 0.01049615 0.000385121140351 0.000385121140351
+77.5 27.5 27.5 0.00661641 0.000195524939271 0.000195524939271
+140.0 35.0 35.0 0.001259955 0.000114721045309 0.000114721045309
+210.0 35.0 35.0 0.000243293 1.16268516357e-05 1.16268516357e-05
+280.0 35.0 35.0 5.9349e-05 6.95501210569e-06 6.95501210569e-06
+440.0 125.0 125.0 7.633549e-06 9.95702770126e-07 9.95702770126e-07
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d03-x01-y01
+Path=/REF/CMS_2018_I1662081/d03-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+225.5 89.5 89.5 0.0009990645 0.000166771409821 0.000166771409821
+352.5 37.5 37.5 0.003486171 9.82185309013e-05 9.82185309013e-05
+432.5 42.5 42.5 0.002569066 9.63697193729e-05 9.63697193729e-05
+520.0 45.0 45.0 0.001539168 7.09619569207e-05 7.09619569207e-05
+615.0 50.0 50.0 0.0008524439 4.3572759663e-05 4.3572759663e-05
+717.5 52.5 52.5 0.0004675826 2.60330221118e-05 2.60330221118e-05
+827.5 57.5 57.5 0.0002540112 1.41118916629e-05 1.41118916629e-05
+947.5 62.5 62.5 0.0001343072 8.98157022718e-06 8.98157022718e-06
+1075.0 65.0 65.0 7.357452e-05 4.84721564835e-06 4.84721564835e-06
+1212.5 72.5 72.5 3.977464e-05 4.53382831472e-06 4.53382831472e-06
+1362.5 77.5 77.5 1.961112e-05 2.14575653398e-06 2.14575653398e-06
+1527.5 87.5 87.5 1.164968e-05 2.11595734141e-06 2.11595734141e-06
+2052.5 437.5 437.5 2.35234e-06 3.39214011212e-07 3.39214011212e-07
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d05-x01-y01
+Path=/REF/CMS_2018_I1662081/d05-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+25.0 25.0 25.0 0.005115453 0.000201558901465 0.000201558901465
+77.5 27.5 27.5 0.007435349 6.23323965901e-05 6.23323965901e-05
+135.0 30.0 30.0 0.003720892 0.000118029870215 0.000118029870215
+202.5 37.5 37.5 0.001092907 5.30305457218e-05 5.30305457218e-05
+282.5 42.5 42.5 0.0002590282 1.43845748947e-05 1.43845748947e-05
+370.0 45.0 45.0 6.322793e-05 5.18867732967e-06 5.18867732967e-06
+630.0 215.0 215.0 5.47379e-06 7.24489207053e-07 7.24489207053e-07
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d01-x01-y01
+Path=/REF/CMS_2018_I1662081/d01-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.0 0.5 0.5 0.4052208 0.0107383588345 0.0107383588345
+5.0 0.5 0.5 0.3175762 0.00223203935731 0.00223203935731
+6.0 0.5 0.5 0.1675234 0.00506443937508 0.00506443937508
+7.0 0.5 0.5 0.07194391 0.00388041249963 0.00388041249963
+8.0 0.5 0.5 0.02595782 0.00260345313065 0.00260345313065
+9.5 1.0 1.0 0.005888904 0.000514338776182 0.000514338776182
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d06-x01-y01
+Path=/REF/CMS_2018_I1662081/d06-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+33.0 7.0 7.0 0.02141542 0.000257075330609 0.000257075330609
+47.5 7.5 7.5 0.01628716 0.000151025407376 0.000151025407376
+62.5 7.5 7.5 0.01097193 8.37911678261e-05 8.37911678261e-05
+77.5 7.5 7.5 0.007083934 7.68911418967e-05 7.68911418967e-05
+92.5 7.5 7.5 0.004395647 6.57801648618e-05 6.57801648618e-05
+107.5 7.5 7.5 0.002741606 5.31951690121e-05 5.31951690121e-05
+122.5 7.5 7.5 0.001794298 5.52903069055e-05 5.52903069055e-05
+137.5 7.5 7.5 0.001126096 3.18678153981e-05 3.18678153981e-05
+152.5 7.5 7.5 0.0007212445 2.16165056215e-05 2.16165056215e-05
+167.5 7.5 7.5 0.0004760247 2.16818747033e-05 2.16818747033e-05
+182.5 7.5 7.5 0.0003311837 2.56546898199e-05 2.56546898199e-05
+197.5 7.5 7.5 0.0002168097 1.52059481934e-05 1.52059481934e-05
+212.5 7.5 7.5 0.0001506569 1.43802452127e-05 1.43802452127e-05
+227.5 7.5 7.5 0.0001058147 1.13044366638e-05 1.13044366638e-05
+245.0 10.0 10.0 7.279707e-05 1.0303079496e-05 1.0303079496e-05
+270.0 15.0 15.0 4.248361e-05 5.16606972785e-06 5.16606972785e-06
+360.0 75.0 75.0 9.450854e-06 1.28080782014e-06 1.28080782014e-06
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d07-x01-y01
+Path=/REF/CMS_2018_I1662081/d07-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+0.15 0.15 0.15 0.6479081 0.00677050643655 0.00677050643655
+0.45 0.15 0.15 0.6223813 0.00580937136059 0.00580937136059
+0.75 0.15 0.15 0.5633198 0.00512571467746 0.00512571467746
+1.05 0.15 0.15 0.4897617 0.00375617014027 0.00375617014027
+1.35 0.15 0.15 0.3876344 0.00452219918862 0.00452219918862
+1.65 0.15 0.15 0.288152 0.0055697405559 0.0055697405559
+1.9 0.1 0.1 0.2132885 0.00651249571701 0.00651249571701
+2.2 0.2 0.2 0.1439878 0.00644643433648 0.00644643433648
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d09-x01-y01
+Path=/REF/CMS_2018_I1662081/d09-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+165.0 55.0 55.0 0.1843297 0.027810122356 0.027810122356
+247.5 27.5 27.5 0.4238144 0.0413182832173 0.0413182832173
+307.5 32.5 32.5 0.3241779 0.0329539874528 0.0329539874528
+375.0 35.0 35.0 0.2051364 0.0206635418151 0.0206635418151
+447.5 37.5 37.5 0.1209319 0.0124343350251 0.0124343350251
+527.5 42.5 42.5 0.06908987 0.00735452475001 0.00735452475001
+615.0 45.0 45.0 0.03849883 0.00422227529739 0.00422227529739
+710.0 50.0 50.0 0.02102288 0.00220895606541 0.00220895606541
+815.0 55.0 55.0 0.01184081 0.00143526880272 0.00143526880272
+930.0 60.0 60.0 0.006391955 0.000733858965037 0.000733858965037
+1052.5 62.5 62.5 0.003365783 0.000544576319907 0.000544576319907
+1182.5 67.5 67.5 0.001836041 0.000267944147088 0.000267944147088
+1587.5 337.5 337.5 0.0004907999 7.96718314785e-05 7.96718314785e-05
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d11-x01-y01
+Path=/REF/CMS_2018_I1662081/d11-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+25.0 25.0 25.0 1.053287 0.0922612591106 0.0922612591106
+77.5 27.5 27.5 0.663956 0.0675776739908 0.0675776739908
+140.0 35.0 35.0 0.1264364 0.0192038389335 0.0192038389335
+210.0 35.0 35.0 0.02441442 0.00280238491493 0.00280238491493
+280.0 35.0 35.0 0.005955666 0.000950904893396 0.000950904893396
+440.0 125.0 125.0 0.0007660258 0.000138550070916 0.000138550070916
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d10-x01-y01
+Path=/REF/CMS_2018_I1662081/d10-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+225.5 89.5 89.5 0.1026823 0.0180953008299 0.0180953008299
+352.5 37.5 37.5 0.3583031 0.0341677967799 0.0341677967799
+432.5 42.5 42.5 0.2640445 0.0267339072305 0.0267339072305
+520.0 45.0 45.0 0.1581932 0.0161126255107 0.0161126255107
+615.0 50.0 50.0 0.08761283 0.00926903410625 0.00926903410625
+717.5 52.5 52.5 0.04805739 0.0052068895789 0.0052068895789
+827.5 57.5 57.5 0.02610687 0.00277546637227 0.00277546637227
+947.5 62.5 62.5 0.01380388 0.00159199616814 0.00159199616814
+1075.0 65.0 65.0 0.007561872 0.00087232031068 0.00087232031068
+1212.5 72.5 72.5 0.004087974 0.000610862700241 0.000610862700241
+1362.5 77.5 77.5 0.002015599 0.000281550356199 0.000281550356199
+1527.5 87.5 87.5 0.001197335 0.000247499366361 0.000247499366361
+2052.5 437.5 437.5 0.0002417697 4.38699164721e-05 4.38699164721e-05
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d12-x01-y01
+Path=/REF/CMS_2018_I1662081/d12-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+25.0 25.0 25.0 0.5176356 0.0430518313641 0.0430518313641
+77.5 27.5 27.5 0.7523872 0.0656319082986 0.0656319082986
+135.0 30.0 30.0 0.3765192 0.0397566742673 0.0397566742673
+202.5 37.5 37.5 0.1105919 0.0123078964602 0.0123078964602
+282.5 42.5 42.5 0.02621122 0.00316196931274 0.00316196931274
+370.0 45.0 45.0 0.00639807 0.000845377720987 0.000845377720987
+630.0 215.0 215.0 0.0005538959 9.94462450729e-05 9.94462450729e-05
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d08-x01-y01
+Path=/REF/CMS_2018_I1662081/d08-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.0 0.5 0.5 40.64756 3.76691462029 3.76691462029
+5.0 0.5 0.5 31.85596 2.76885113005 2.76885113005
+6.0 0.5 0.5 16.80422 1.666774323 1.666774323
+7.0 0.5 0.5 7.216669 0.775228793956 0.775228793956
+8.0 0.5 0.5 2.60382 0.356416811671 0.356416811671
+9.5 1.0 1.0 0.590714 0.0722690403577 0.0722690403577
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d13-x01-y01
+Path=/REF/CMS_2018_I1662081/d13-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+33.0 7.0 7.0 2.160418 0.206332576128 0.206332576128
+47.5 7.5 7.5 1.643072 0.150424919264 0.150424919264
+62.5 7.5 7.5 1.106864 0.100675505316 0.100675505316
+77.5 7.5 7.5 0.7146374 0.0632562666605 0.0632562666605
+92.5 7.5 7.5 0.4434391 0.0394808146855 0.0394808146855
+107.5 7.5 7.5 0.2765771 0.0241001501432 0.0241001501432
+122.5 7.5 7.5 0.1810113 0.0163557964287 0.0163557964287
+137.5 7.5 7.5 0.1136022 0.00982198276007 0.00982198276007
+152.5 7.5 7.5 0.07276018 0.00647025963481 0.00647025963481
+167.5 7.5 7.5 0.04802205 0.00439634331546 0.00439634331546
+182.5 7.5 7.5 0.03341028 0.00360319469529 0.00360319469529
+197.5 7.5 7.5 0.02187207 0.00224958602719 0.00224958602719
+212.5 7.5 7.5 0.01519848 0.00193398471183 0.00193398471183
+227.5 7.5 7.5 0.01067474 0.00151054762716 0.00151054762716
+245.0 10.0 10.0 0.007343872 0.00119910073507 0.00119910073507
+270.0 15.0 15.0 0.004285807 0.000634850377105 0.000634850377105
+360.0 75.0 75.0 0.0009534156 0.000158764234298 0.000158764234298
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1662081/d14-x01-y01
+Path=/REF/CMS_2018_I1662081/d14-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+0.15 0.15 0.15 65.49002 5.82107265332 5.82107265332
+0.45 0.15 0.15 62.90979 5.5661817312 5.5661817312
+0.75 0.15 0.15 56.9399 5.01570847884 5.01570847884
+1.05 0.15 0.15 49.50471 4.44449039743 4.44449039743
+1.35 0.15 0.15 39.18177 3.5766645136 3.5766645136
+1.65 0.15 0.15 29.12617 2.76779864975 2.76779864975
+1.9 0.1 0.1 21.55902 2.16953812058 2.16953812058
+2.2 0.2 0.2 14.55417 1.54825007318 1.54825007318
+# END YODA_SCATTER2D
\ No newline at end of file
diff --git a/analyses/pluginCMS/CMS_2018_I1663452.cc b/analyses/pluginCMS/CMS_2018_I1663452.cc
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2018_I1663452.cc
@@ -0,0 +1,62 @@
+// -*- C++ -*-
+#include "Rivet/Analysis.hh"
+#include "Rivet/Projections/FastJets.hh"
+#include "Rivet/Tools/BinnedHistogram.hh"
+
+namespace Rivet {
+
+
+ class CMS_2018_I1663452 : public Analysis {
+ public:
+
+ CMS_2018_I1663452()
+ : Analysis("CMS_2018_I1663452")
+ { }
+
+
+ void init() {
+ FinalState fs;
+ FastJets antikt(fs, FastJets::ANTIKT, 0.4);
+ addProjection(antikt, "ANTIKT");
+ {Histo1DPtr tmp; _h_chi_dijet.add(6000., 13000., book(tmp,1, 1, 1));}
+ {Histo1DPtr tmp; _h_chi_dijet.add(5400., 6000., book(tmp,2, 1, 1));}
+ {Histo1DPtr tmp; _h_chi_dijet.add(4800., 5400., book(tmp,3, 1, 1));}
+ {Histo1DPtr tmp; _h_chi_dijet.add(4200., 4800., book(tmp,4, 1, 1));}
+ {Histo1DPtr tmp; _h_chi_dijet.add(3600., 4200., book(tmp,5, 1, 1));}
+ {Histo1DPtr tmp; _h_chi_dijet.add(3000., 3600., book(tmp,6, 1, 1));}
+ {Histo1DPtr tmp; _h_chi_dijet.add(2400., 3000., book(tmp,7, 1, 1));}
+ }
+
+ void analyze(const Event& event) {
+ const Jets& jets = applyProjection<JetAlg>(event, "ANTIKT").jetsByPt();
+ if (jets.size() < 2) vetoEvent;
+ FourMomentum j0(jets[0].momentum());
+ FourMomentum j1(jets[1].momentum());
+ double y0 = j0.rapidity();
+ double y1 = j1.rapidity();
+ if (fabs(y0+y1)/2. > 1.11) vetoEvent;
+ double mjj = FourMomentum(j0+j1).mass();
+ double chi = exp(fabs(y0-y1));
+ if(chi<16.) _h_chi_dijet.fill(mjj, chi);
+ }
+
+
+ void finalize() {
+ for (Histo1DPtr hist : _h_chi_dijet.histos()) {
+ normalize(hist);
+ }
+ }
+
+
+ private:
+
+ BinnedHistogram _h_chi_dijet;
+
+ };
+
+
+
+ // The hook for the plugin system
+ DECLARE_RIVET_PLUGIN(CMS_2018_I1663452);
+
+}
diff --git a/analyses/pluginCMS/CMS_2018_I1663452.info b/analyses/pluginCMS/CMS_2018_I1663452.info
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2018_I1663452.info
@@ -0,0 +1,36 @@
+Name: CMS_2018_I1663452
+Year: 2018
+Summary: Search for new physics in dijet angular distributions using proton-proton collisions at sqrt(s) = 13 TeV and constraints on dark matter and other models
+Experiment: CMS
+Collider: CERN LHC
+InspireID: 1663452
+Status: VALIDATED
+Authors:
+ - Andreas Hinzmann <hinzmann@cern.ch>
+References:
+ - arXiv:1803.08030
+ - CMS EXO-16-046
+RunInfo:
+ Hard QCD process with a pT cut of 200 GeV on sub-leading jet is recommended.
+NumEvents:
+NeedCrossSection: yes
+Beams: [p, p]
+Energies: [13000]
+PtCuts: [200]
+Description:
+ 'Dijet angular distributions are measured in proton-proton collisions at sqrt(s)=13 TeV using based on a data set corresponding to an integrated luminosity of 35.9/fb collected by the CMS detector at the CERN LHC. Dijet angular distributions are found to be in agreement with the perturbative QCD predictions that include electroweak corrections.'
+BibKey: Sirunyan:2018wcm
+BibTeX: '@article{Sirunyan:2018wcm,
+ author = "Sirunyan, Albert M and others",
+ title = "{Search for new physics in dijet angular distributions
+ using proton-proton collisions at $\sqrt{s}=$ 13 TeV and
+ constraints on dark matter and other models}",
+ collaboration = "CMS",
+ year = "2018",
+ eprint = "1803.08030",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ reportNumber = "CMS-EXO-16-046, CERN-EP-2018-036, CMS-EXO-16-046,
+ CERN-EP-2018-036",
+ SLACcitation = "%%CITATION = ARXIV:1803.08030;%%"
+}'
diff --git a/analyses/pluginCMS/CMS_2018_I1663452.plot b/analyses/pluginCMS/CMS_2018_I1663452.plot
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2018_I1663452.plot
@@ -0,0 +1,56 @@
+# BEGIN PLOT /CMS_2018_I1663452/d01-x01-y01
+Title=CMS, 13 TeV, dijet, $M_{jj}>$ 6.0 TeV
+XLabel=$\chi_{\text{dijet}} = e^{|y_1-y_2|}$
+YLabel=$1/\sigma_{\text{dijet}}$ $d\sigma_{\text{dijet}}/d\chi_{\text{dijet}}$
+FullRange=1
+LogY=0
+YMax=0.2
+# END PLOT
+# BEGIN PLOT /CMS_2018_I1663452/d02-x01-y01
+Title=CMS, 13 TeV, dijet, 5.4 TeV $<M_{jj}<$ 6.0 TeV
+XLabel=$\chi_{\text{dijet}} = e^{|y_1-y_2|}$
+YLabel=$1/\sigma_{\text{dijet}}$ $d\sigma_{\text{dijet}}/d\chi_{\text{dijet}}$
+FullRange=1
+LogY=0
+YMax=0.12
+# END PLOT
+# BEGIN PLOT /CMS_2018_I1663452/d03-x01-y01
+Title=CMS, 13 TeV, dijet, 4.8 TeV $<M_{jj}<$ 5.4 TeV
+XLabel=$\chi_{\text{dijet}} = e^{|y_1-y_2|}$
+YLabel=$1/\sigma_{\text{dijet}}$ $d\sigma_{\text{dijet}}/d\chi_{\text{dijet}}$
+FullRange=1
+LogY=0
+YMax=0.12
+# END PLOT
+# BEGIN PLOT /CMS_2018_I1663452/d04-x01-y01
+Title=CMS, 13 TeV, dijet, 4.2 TeV $<M_{jj}<$ 4.8 TeV
+XLabel=$\chi_{\text{dijet}} = e^{|y_1-y_2|}$
+YLabel=$1/\sigma_{\text{dijet}}$ $d\sigma_{\text{dijet}}/d\chi_{\text{dijet}}$
+FullRange=1
+LogY=0
+YMax=0.12
+# END PLOT
+# BEGIN PLOT /CMS_2018_I1663452/d05-x01-y01
+Title=CMS, 13 TeV, dijet, 3.6 TeV $<M_{jj}<$ 4.2 TeV
+XLabel=$\chi_{\text{dijet}} = e^{|y_1-y_2|}$
+YLabel=$1/\sigma_{\text{dijet}}$ $d\sigma_{\text{dijet}}/d\chi_{\text{dijet}}$
+FullRange=1
+LogY=0
+YMax=0.12
+# END PLOT
+# BEGIN PLOT /CMS_2018_I1663452/d06-x01-y01
+Title=CMS, 13 TeV, dijet, 3.0 TeV $<M_{jj}<$ 3.6 TeV
+XLabel=$\chi_{\text{dijet}} = e^{|y_1-y_2|}$
+YLabel=$1/\sigma_{\text{dijet}}$ $d\sigma_{\text{dijet}}/d\chi_{\text{dijet}}$
+FullRange=1
+LogY=0
+YMax=0.12
+# END PLOT
+# BEGIN PLOT /CMS_2018_I1663452/d07-x01-y01
+Title=CMS, 13 TeV, dijet, 2.4 TeV $<M_{jj}<$ 3.0 TeV
+XLabel=$\chi_{\text{dijet}} = e^{|y_1-y_2|}$
+YLabel=$1/\sigma_{\text{dijet}}$ $d\sigma_{\text{dijet}}/d\chi_{\text{dijet}}$
+FullRange=1
+LogY=0
+YMax=0.12
+# END PLOT
diff --git a/analyses/pluginCMS/CMS_2018_I1663452.yoda b/analyses/pluginCMS/CMS_2018_I1663452.yoda
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2018_I1663452.yoda
@@ -0,0 +1,118 @@
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663452/d01-x01-y01
+Path=/REF/CMS_2018_I1663452/d01-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+00 1.000000e+00 1.000000e+00 1.305000e-01 3.123860e-02 3.798118e-02
+4.500000e+00 1.500000e+00 1.500000e+00 6.560000e-02 1.692483e-02 2.176718e-02
+7.500000e+00 1.500000e+00 1.500000e+00 4.410000e-02 1.351814e-02 1.851324e-02
+1.050000e+01 1.500000e+00 1.500000e+00 6.310000e-02 1.631502e-02 2.111516e-02
+1.400000e+01 2.000000e+00 2.000000e+00 5.520000e-02 1.349370e-02 1.703174e-02
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663452/d02-x01-y01
+Path=/REF/CMS_2018_I1663452/d02-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e+00 5.000000e-01 5.000000e-01 9.050000e-02 1.799389e-02 2.118726e-02
+2.500000e+00 5.000000e-01 5.000000e-01 7.180000e-02 1.559391e-02 1.889391e-02
+3.500000e+00 5.000000e-01 5.000000e-01 7.600000e-02 1.586600e-02 1.918802e-02
+4.500000e+00 5.000000e-01 5.000000e-01 8.110000e-02 1.620494e-02 1.957243e-02
+5.500000e+00 5.000000e-01 5.000000e-01 7.100000e-02 1.499333e-02 1.838478e-02
+6.500000e+00 5.000000e-01 5.000000e-01 5.370000e-02 1.285613e-02 1.636001e-02
+7.500000e+00 5.000000e-01 5.000000e-01 3.240000e-02 9.908078e-03 1.350926e-02
+8.500000e+00 5.000000e-01 5.000000e-01 9.690000e-02 1.730029e-02 2.070869e-02
+9.500000e+00 5.000000e-01 5.000000e-01 5.800000e-02 1.330338e-02 1.680744e-02
+1.100000e+01 1.000000e+00 1.000000e+00 5.730000e-02 9.464143e-03 1.117587e-02
+1.300000e+01 1.000000e+00 1.000000e+00 4.830000e-02 8.786353e-03 1.047378e-02
+1.500000e+01 1.000000e+00 1.000000e+00 7.870000e-02 1.170470e-02 1.328533e-02
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663452/d03-x01-y01
+Path=/REF/CMS_2018_I1663452/d03-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e+00 5.000000e-01 5.000000e-01 7.620000e-02 9.638465e-03 1.051190e-02
+2.500000e+00 5.000000e-01 5.000000e-01 7.140000e-02 8.989994e-03 9.808670e-03
+3.500000e+00 5.000000e-01 5.000000e-01 8.230000e-02 9.454100e-03 1.032473e-02
+4.500000e+00 5.000000e-01 5.000000e-01 6.450000e-02 8.036168e-03 8.928606e-03
+5.500000e+00 5.000000e-01 5.000000e-01 6.940000e-02 8.200000e-03 9.121952e-03
+6.500000e+00 5.000000e-01 5.000000e-01 7.030000e-02 8.104937e-03 9.108238e-03
+7.500000e+00 5.000000e-01 5.000000e-01 6.250000e-02 7.523962e-03 8.528775e-03
+8.500000e+00 5.000000e-01 5.000000e-01 7.140000e-02 8.100617e-03 9.004999e-03
+9.500000e+00 5.000000e-01 5.000000e-01 6.240000e-02 7.505998e-03 8.514693e-03
+1.100000e+01 1.000000e+00 1.000000e+00 5.580000e-02 5.099020e-03 5.608921e-03
+1.300000e+01 1.000000e+00 1.000000e+00 6.410000e-02 5.830952e-03 6.332456e-03
+1.500000e+01 1.000000e+00 1.000000e+00 6.490000e-02 6.328507e-03 6.760178e-03
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663452/d04-x01-y01
+Path=/REF/CMS_2018_I1663452/d04-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e+00 5.000000e-01 5.000000e-01 9.210000e-02 5.940539e-03 6.103278e-03
+2.500000e+00 5.000000e-01 5.000000e-01 7.100000e-02 4.788528e-03 4.964877e-03
+3.500000e+00 5.000000e-01 5.000000e-01 6.580000e-02 4.346263e-03 4.623851e-03
+4.500000e+00 5.000000e-01 5.000000e-01 6.560000e-02 4.205948e-03 4.492215e-03
+5.500000e+00 5.000000e-01 5.000000e-01 6.210000e-02 4.002499e-03 4.295346e-03
+6.500000e+00 5.000000e-01 5.000000e-01 5.230000e-02 3.634556e-03 3.931921e-03
+7.500000e+00 5.000000e-01 5.000000e-01 7.050000e-02 4.210701e-03 4.410215e-03
+8.500000e+00 5.000000e-01 5.000000e-01 6.440000e-02 4.000000e-03 4.201190e-03
+9.500000e+00 5.000000e-01 5.000000e-01 6.760000e-02 4.110961e-03 4.318565e-03
+1.100000e+01 1.000000e+00 1.000000e+00 6.590000e-02 3.008322e-03 3.104835e-03
+1.300000e+01 1.000000e+00 1.000000e+00 6.100000e-02 2.996665e-03 3.178050e-03
+1.500000e+01 1.000000e+00 1.000000e+00 6.740000e-02 3.580503e-03 3.661967e-03
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663452/d05-x01-y01
+Path=/REF/CMS_2018_I1663452/d05-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e+00 5.000000e-01 5.000000e-01 8.040000e-02 3.330165e-03 3.397058e-03
+2.500000e+00 5.000000e-01 5.000000e-01 6.550000e-02 2.561250e-03 2.640076e-03
+3.500000e+00 5.000000e-01 5.000000e-01 6.420000e-02 2.332381e-03 2.418677e-03
+4.500000e+00 5.000000e-01 5.000000e-01 6.490000e-02 2.193171e-03 2.284732e-03
+5.500000e+00 5.000000e-01 5.000000e-01 6.440000e-02 2.088061e-03 2.213594e-03
+6.500000e+00 5.000000e-01 5.000000e-01 6.100000e-02 1.941649e-03 2.039608e-03
+7.500000e+00 5.000000e-01 5.000000e-01 6.260000e-02 2.009975e-03 2.009975e-03
+8.500000e+00 5.000000e-01 5.000000e-01 6.390000e-02 2.002498e-03 2.102380e-03
+9.500000e+00 5.000000e-01 5.000000e-01 6.490000e-02 2.022375e-03 2.121320e-03
+1.100000e+01 1.000000e+00 1.000000e+00 6.380000e-02 1.486607e-03 1.523155e-03
+1.300000e+01 1.000000e+00 1.000000e+00 7.160000e-02 1.802776e-03 1.802776e-03
+1.500000e+01 1.000000e+00 1.000000e+00 6.870000e-02 1.984943e-03 1.984943e-03
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663452/d06-x01-y01
+Path=/REF/CMS_2018_I1663452/d06-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e+00 5.000000e-01 5.000000e-01 8.180000e-02 3.008322e-03 3.008322e-03
+2.500000e+00 5.000000e-01 5.000000e-01 6.510000e-02 2.059126e-03 2.059126e-03
+3.500000e+00 5.000000e-01 5.000000e-01 6.430000e-02 1.720465e-03 1.720465e-03
+4.500000e+00 5.000000e-01 5.000000e-01 6.370000e-02 1.414214e-03 1.414214e-03
+5.500000e+00 5.000000e-01 5.000000e-01 6.310000e-02 1.220656e-03 1.220656e-03
+6.500000e+00 5.000000e-01 5.000000e-01 6.430000e-02 1.077033e-03 1.118034e-03
+7.500000e+00 5.000000e-01 5.000000e-01 6.550000e-02 1.019804e-03 1.019804e-03
+8.500000e+00 5.000000e-01 5.000000e-01 6.610000e-02 1.004988e-03 1.004988e-03
+9.500000e+00 5.000000e-01 5.000000e-01 6.430000e-02 1.044031e-03 1.044031e-03
+1.100000e+01 1.000000e+00 1.000000e+00 6.670000e-02 9.219544e-04 9.219544e-04
+1.300000e+01 1.000000e+00 1.000000e+00 6.620000e-02 1.220656e-03 1.220656e-03
+1.500000e+01 1.000000e+00 1.000000e+00 6.810000e-02 1.655295e-03 1.565248e-03
+# END YODA_SCATTER2D
+
+# BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663452/d07-x01-y01
+Path=/REF/CMS_2018_I1663452/d07-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e+00 5.000000e-01 5.000000e-01 7.950000e-02 3.140064e-03 3.140064e-03
+2.500000e+00 5.000000e-01 5.000000e-01 6.670000e-02 2.137756e-03 2.137756e-03
+3.500000e+00 5.000000e-01 5.000000e-01 6.460000e-02 1.649242e-03 1.649242e-03
+4.500000e+00 5.000000e-01 5.000000e-01 6.250000e-02 1.170470e-03 1.264911e-03
+5.500000e+00 5.000000e-01 5.000000e-01 6.290000e-02 8.944272e-04 8.944272e-04
+6.500000e+00 5.000000e-01 5.000000e-01 6.500000e-02 6.403124e-04 6.403124e-04
+7.500000e+00 5.000000e-01 5.000000e-01 6.460000e-02 4.472136e-04 4.472136e-04
+8.500000e+00 5.000000e-01 5.000000e-01 6.610000e-02 4.123106e-04 4.123106e-04
+9.500000e+00 5.000000e-01 5.000000e-01 6.640000e-02 5.000000e-04 5.656854e-04
+1.100000e+01 1.000000e+00 1.000000e+00 6.720000e-02 7.615773e-04 7.615773e-04
+1.300000e+01 1.000000e+00 1.000000e+00 6.660000e-02 1.140175e-03 1.140175e-03
+1.500000e+01 1.000000e+00 1.000000e+00 6.720000e-02 1.627882e-03 1.529706e-03
+# END YODA_SCATTER2D
diff --git a/analyses/pluginCMS/CMS_2018_I1663958.cc b/analyses/pluginCMS/CMS_2018_I1663958.cc
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2018_I1663958.cc
@@ -0,0 +1,452 @@
+#include "Rivet/Analysis.hh"
+#include "Rivet/Projections/FinalState.hh"
+#include "Rivet/Projections/VisibleFinalState.hh"
+#include "Rivet/Projections/IdentifiedFinalState.hh"
+#include "Rivet/Projections/VetoedFinalState.hh"
+#include "Rivet/Projections/FastJets.hh"
+#include "Rivet/Projections/DressedLeptons.hh"
+
+namespace Rivet {
+
+
+ class CMS_2018_I1663958 : public Analysis {
+ public:
+
+ struct Histo1DGroup {
+ Histo1DGroup() {}
+ Histo1DGroup(CMS_2018_I1663958* an, const vector<string>& hnames, const vector<double>& xbinranges);
+
+ void fill(double x, double y, double w = 1.);
+ void scale(double s, bool diff = true);
+ void norm(bool diff = true);
+
+ void gapfractionfromjetpt(Scatter2DPtr hgap, int njet);
+
+ CMS_2018_I1663958* m_an;
+ vector<double> m_xbins;
+ vector<Histo1DPtr> m_histos;
+ };
+
+
+ CMS_2018_I1663958()
+ : Analysis("CMS_2018_I1663958"),
+ m_thad_decay(3), m_tlep_decay(3), m_tt_jets(4) {}
+
+
+ virtual void init() {
+ const FinalState fs(Cuts::abseta < 6.);
+ declare(fs, "FS");
+ const VisibleFinalState vfs(Cuts::abseta < 6.);
+ declare(vfs, "vFS");
+
+ VetoedFinalState invisibles(fs);
+ invisibles.addVetoOnThisFinalState(vfs);
+ declare(invisibles, "Invisibles");
+
+ IdentifiedFinalState all_photons(vfs);
+ all_photons.acceptId(PID::PHOTON);
+ IdentifiedFinalState leptons(vfs);
+ leptons.acceptIds({PID::ELECTRON, -PID::ELECTRON, PID::MUON,-PID::MUON});
+
+ DressedLeptons dressed_leptons(all_photons, leptons, m_lepdressdr,
+ Cuts::abseta < m_lepetamax && Cuts::pT > m_vetolepptmin*GeV, true);
+ declare(dressed_leptons, "MyLeptons");
+
+ VetoedFinalState photons(all_photons);
+ photons.addVetoOnThisFinalState(dressed_leptons);
+ declare(photons, "MyPhotons");
+
+ VetoedFinalState isolationparticles(vfs);
+ isolationparticles.addVetoOnThisFinalState(dressed_leptons);
+ declare(isolationparticles, "IsoParticles");
+
+ declare(FastJets(vfs, FastJets::ANTIKT, m_jetdr), "Jets");
+
+ book(m_hist_thadpt , "d01-x01-y01");
+ book(m_hist_thady , "d03-x01-y01");
+ book(m_hist_tleppt , "d05-x01-y01");
+ book(m_hist_tlepy , "d07-x01-y01");
+ book(m_hist_ttm , "d09-x01-y01");
+ book(m_hist_ttpt , "d11-x01-y01");
+ book(m_hist_tty , "d13-x01-y01");
+ book(m_hist_njet , "d15-x01-y01");
+ /// @todo Memory leak
+ m_hist_njet_ttm = Histo1DGroup(this, {"d17-x01-y01", "d18-x01-y01", "d19-x01-y01", "d20-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5});
+ m_hist_njet_thadpt = Histo1DGroup(this, {"d22-x01-y01", "d23-x01-y01", "d24-x01-y01", "d25-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5});
+ m_hist_njet_ttpt = Histo1DGroup(this, {"d27-x01-y01", "d28-x01-y01", "d29-x01-y01", "d30-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5});
+ m_hist_thady_thadpt = Histo1DGroup(this, {"d32-x01-y01", "d33-x01-y01", "d34-x01-y01", "d35-x01-y01"}, {0.0,0.5, 1.0, 1.5, 2.5});
+ m_hist_ttm_tty = Histo1DGroup(this, {"d37-x01-y01", "d38-x01-y01", "d39-x01-y01", "d40-x01-y01"}, {300., 450., 625., 850., 2000.});
+ m_hist_thadpt_ttm = Histo1DGroup(this, {"d42-x01-y01", "d43-x01-y01", "d44-x01-y01", "d45-x01-y01"}, {0., 90., 180., 270., 800.});
+ m_hist_jetspt = Histo1DGroup(this, {"d47-x01-y01", "d48-x01-y01", "d49-x01-y01", "d50-x01-y01", "d51-x01-y01", "d52-x01-y01", "d53-x01-y01", "d54-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5});
+ m_hist_jetseta = Histo1DGroup(this, {"d56-x01-y01", "d57-x01-y01", "d58-x01-y01", "d59-x01-y01", "d60-x01-y01", "d61-x01-y01", "d62-x01-y01", "d63-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5});
+ m_hist_jetsdrjets = Histo1DGroup(this, {"d65-x01-y01", "d66-x01-y01", "d67-x01-y01", "d68-x01-y01", "d69-x01-y01", "d70-x01-y01", "d71-x01-y01", "d72-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5});
+ m_hist_jetsdrtops = Histo1DGroup(this, {"d74-x01-y01", "d75-x01-y01", "d76-x01-y01", "d77-x01-y01", "d78-x01-y01", "d79-x01-y01", "d80-x01-y01", "d81-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5});
+ m_hist_njetspt = Histo1DGroup(this, {"d169-x01-y01", "d170-x01-y01", "d171-x01-y01", "d172-x01-y01"}, {0., 40., 60., 80., 120.});
+
+ book(m_nhist_thadpt , "d83-x01-y01");
+ book(m_nhist_thady , "d85-x01-y01");
+ book(m_nhist_tleppt , "d87-x01-y01");
+ book(m_nhist_tlepy , "d89-x01-y01");
+ book(m_nhist_ttm , "d91-x01-y01");
+ book(m_nhist_ttpt , "d93-x01-y01");
+ book(m_nhist_tty , "d95-x01-y01");
+ book(m_nhist_njet , "d97-x01-y01");
+ /// @todo Memory leak
+ m_nhist_njet_ttm = Histo1DGroup(this, {"d99-x01-y01", "d100-x01-y01", "d101-x01-y01", "d102-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5});
+ m_nhist_njet_thadpt = Histo1DGroup(this, {"d104-x01-y01", "d105-x01-y01", "d106-x01-y01", "d107-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5});
+ m_nhist_njet_ttpt = Histo1DGroup(this, {"d109-x01-y01", "d110-x01-y01", "d111-x01-y01", "d112-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5});
+ m_nhist_thady_thadpt = Histo1DGroup(this, {"d114-x01-y01", "d115-x01-y01", "d116-x01-y01", "d117-x01-y01"}, {0.0,0.5, 1.0, 1.5, 2.5});
+ m_nhist_ttm_tty = Histo1DGroup(this, {"d119-x01-y01", "d120-x01-y01", "d121-x01-y01", "d122-x01-y01"}, {300., 450., 625., 850., 2000.});
+ m_nhist_thadpt_ttm = Histo1DGroup(this, {"d124-x01-y01", "d125-x01-y01", "d126-x01-y01", "d127-x01-y01"}, {0., 90., 180., 270., 800.});
+ m_nhist_jetspt = Histo1DGroup(this, {"d129-x01-y01", "d130-x01-y01", "d131-x01-y01", "d132-x01-y01", "d133-x01-y01", "d134-x01-y01", "d135-x01-y01", "d136-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5});
+ m_nhist_jetseta = Histo1DGroup(this, {"d138-x01-y01", "d139-x01-y01", "d140-x01-y01", "d141-x01-y01", "d142-x01-y01", "d143-x01-y01", "d144-x01-y01", "d145-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5});
+ m_nhist_jetsdrjets = Histo1DGroup(this, {"d147-x01-y01", "d148-x01-y01", "d149-x01-y01", "d150-x01-y01", "d151-x01-y01", "d152-x01-y01", "d153-x01-y01", "d154-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5});
+ m_nhist_jetsdrtops = Histo1DGroup(this, {"d156-x01-y01", "d157-x01-y01", "d158-x01-y01", "d159-x01-y01", "d160-x01-y01", "d161-x01-y01", "d162-x01-y01", "d163-x01-y01"}, {-0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5});
+ book(m_hist_gap1, "d165-x01-y01");
+ book(m_hist_gap2, "d167-x01-y01");
+ }
+
+
+ void analyze(const Event& event) {
+ m_leptons.clear();
+ m_vetoleptons.clear();
+ m_neutrinos.clear();
+ m_bjets.clear();
+ m_ljets.clear();
+ m_additionalobjects.clear();
+ m_additionaljets.clear();
+
+ const Particles& isopars = applyProjection<VetoedFinalState>(event, "IsoParticles").particles();
+ const vector<DressedLepton>& dressedleptons = applyProjection<DressedLeptons>(event, "MyLeptons").dressedLeptons();
+ for (const DressedLepton& lep : dressedleptons) {
+ double isolation = accumulate(isopars.begin(), isopars.end(), 0., [&](double iso, const Particle& par) {if(deltaR(lep, par) < m_lepisodr){return iso + par.pt();} else {return iso;}});
+ isolation = isolation/lep.pt();
+ if (isolation > m_lepisomax) continue;
+ if (lep.pt() > m_lepptmin && lep.abseta() < m_lepetamax) m_leptons.push_back(lep);
+ else if(lep.pt() > m_vetolepptmin && lep.abseta() < m_vetolepetamax) m_vetoleptons.push_back(lep);
+ }
+
+ const Particles& photons = applyProjection<VetoedFinalState>(event, "MyPhotons").particles(Cuts::abseta < m_phetamax && Cuts::pT > m_phptmin*GeV);
+ for (const Particle& ph : photons) {
+ double isolation = accumulate(isopars.begin(), isopars.end(), 0., [&](double iso, const Particle& par) {if(deltaR(ph, par) < m_phisodr){return iso + par.pt();} else {return iso;}});
+ isolation = isolation/ph.pt() - 1.;
+ if (isolation > m_phisomax) continue;
+ m_additionalobjects.push_back(ph);
+ }
+
+ const Particles& invfspars = apply<FinalState>(event, "Invisibles").particles();
+ for (const Particle& par : invfspars) m_neutrinos.push_back(par);
+
+ const Jets& allJets = apply<FastJets>(event, "Jets").jetsByPt(Cuts::abseta < m_jetetamax && Cuts::pT > m_jetptmin*GeV);
+ for (const Jet& jet : allJets) {
+ //clean jets from leptons
+ if (find_if(m_leptons.begin(), m_leptons.end(),
+ [&](const Particle& par){return deltaR(jet, par) < m_jetdr;}) != m_leptons.end()) continue;
+ //clean jets from veto leptons
+ if (find_if(m_vetoleptons.begin(), m_vetoleptons.end(),
+ [&](const Particle& par){return deltaR(jet, par) < m_jetdr;}) != m_vetoleptons.end()) continue;
+ //clean other objects (photons)
+ if (find_if(m_additionalobjects.begin(), m_additionalobjects.end(),
+ [&](const Particle& par){return deltaR(jet, par) < m_jetdr;}) != m_additionalobjects.end()) continue;
+
+ if (jet.bTagged()) {
+ m_bjets.push_back(jet);
+ } else {
+ m_ljets.push_back(jet);
+ }
+ }
+
+ //Semi-leptonic reconstruction
+ if (m_leptons.size() != 1 || m_vetoleptons.size() != 0 || m_bjets.size() < 2 || m_ljets.size() < 2) return;
+
+ FourMomentum nusum = accumulate(m_neutrinos.begin(), m_neutrinos.end(), FourMomentum(0.,0.,0.,0.),
+ [&](FourMomentum& invmom, const Particle& par) {return invmom += par.momentum();});
+
+ FourMomentum wl = nusum + m_leptons[0].momentum();
+
+ double Kmin = numeric_limits<double>::max();
+ for (size_t a = 0 ; a < m_ljets.size() ; ++a){
+ const Jet& lja = m_ljets[a];
+ for (size_t b = 0 ; b < a ; ++b) {
+ const Jet& ljb = m_ljets[b];
+ FourMomentum wh(lja.momentum() + ljb.momentum());
+ for (const Jet& bjh : m_bjets) {
+ FourMomentum th(wh + bjh.momentum());
+ for (const Jet& bjl : m_bjets) {
+ if (&bjh == &bjl) continue;
+ FourMomentum tl(wl + bjl.momentum());
+
+ double K = pow(wh.mass() - 80.4, 2) + pow(th.mass() - 172.5, 2) + pow(tl.mass() - 172.5, 2);
+ if (K < Kmin)
+ {
+ Kmin = K;
+ m_thad = Particle(6, th);
+ m_thad_decay[0] = Particle(5, bjh);
+ m_thad_decay[1] = lja.pt() > ljb.pt() ? Particle(1, lja) : Particle(1, ljb);
+ m_thad_decay[2] = lja.pt() <= ljb.pt() ? Particle(1, lja) : Particle(1, ljb);
+ m_tlep = Particle(-6, tl);
+ m_tlep_decay[0] = Particle(5, bjl);
+ m_tlep_decay[1] = m_leptons[0];
+ m_tlep_decay[2] = Particle(-1*(m_leptons[0].pdgId()+1), nusum);
+ }
+ }
+ }
+ }
+ }
+
+ m_tt_jets[0] = m_tlep_decay[0];
+ m_tt_jets[1] = m_thad_decay[0];
+ m_tt_jets[2] = m_thad_decay[1];
+ m_tt_jets[3] = m_thad_decay[2];
+
+ const double eps = 1E-5;
+ for (const Jet& jet : m_bjets) {
+ if(jet.pt() < m_addjetptmin || jet.abseta() > m_addjetetamax) continue;
+ if(find_if(m_tt_jets.begin(), m_tt_jets.end(), [&](const Particle& par){return deltaR(jet, par) < eps;}) != m_tt_jets.end()) continue;
+ m_additionaljets.push_back(Particle(5, jet.momentum()));
+ }
+ for (const Jet& jet : m_ljets) {
+ if(jet.pt() < m_addjetptmin || jet.abseta() > m_addjetetamax) continue;
+ if(find_if(m_tt_jets.begin(), m_tt_jets.end(), [&](const Particle& par){return deltaR(jet, par) < eps;}) != m_tt_jets.end()) continue;
+ if(jet.cTagged())
+ {
+ m_additionaljets.push_back(Particle(4, jet.momentum()));
+ }
+ else
+ {
+ m_additionaljets.push_back(Particle(1, jet.momentum()));
+ }
+ }
+
+ sort(m_additionaljets.begin(), m_additionaljets.end(), [](const Particle& ja, const Particle& jb) {return ja.pt() > jb.pt();});
+
+ FourMomentum tt(m_thad.momentum() + m_tlep.momentum());
+
+ m_hist_thadpt->fill(m_thad.pt());
+ m_nhist_thadpt->fill(m_thad.pt());
+ m_hist_thady->fill(abs(m_thad.rapidity()));
+ m_nhist_thady->fill(abs(m_thad.rapidity()));
+ m_hist_tleppt->fill(m_tlep.pt());
+ m_nhist_tleppt->fill(m_tlep.pt());
+ m_hist_tlepy->fill(abs(m_tlep.rapidity()));
+ m_nhist_tlepy->fill(abs(m_tlep.rapidity()));
+ m_hist_ttm->fill(tt.mass());
+ m_nhist_ttm->fill(tt.mass());
+ m_hist_ttpt->fill(tt.pt());
+ m_nhist_ttpt->fill(tt.pt());
+ m_hist_tty->fill(abs(tt.rapidity()));
+ m_nhist_tty->fill(abs(tt.rapidity()));
+ m_hist_njet->fill(min(m_additionaljets.size(), (size_t)5));
+ m_nhist_njet->fill(min(m_additionaljets.size(), (size_t)5));
+ int njet = min((size_t)3, m_additionaljets.size());
+ m_hist_njet_ttm.fill(njet, tt.mass());
+ m_nhist_njet_ttm.fill(njet, tt.mass());
+ m_hist_njet_thadpt.fill(njet, m_thad.pt());
+ m_nhist_njet_thadpt.fill(njet, m_thad.pt());
+ m_hist_njet_ttpt.fill(njet, tt.pt());
+ m_nhist_njet_ttpt.fill(njet, tt.pt());
+ m_hist_thady_thadpt.fill(abs(m_thad.rapidity()), m_thad.pt());
+ m_nhist_thady_thadpt.fill(abs(m_thad.rapidity()), m_thad.pt());
+ m_hist_ttm_tty.fill(tt.mass(), abs(tt.rapidity()));
+ m_nhist_ttm_tty.fill(tt.mass(), abs(tt.rapidity()));
+ m_hist_thadpt_ttm.fill(m_thad.pt(), tt.mass());
+ m_nhist_thadpt_ttm.fill(m_thad.pt(), tt.mass());
+ int jpos = -1;
+ for (const Particles& jets : {m_tt_jets, m_additionaljets}) {
+ for (const Particle& jet : jets) {
+ jpos++;
+ m_hist_jetspt.fill(jpos, jet.pt());
+ m_nhist_jetspt.fill(jpos, jet.pt());
+ m_hist_jetseta.fill(jpos, abs(jet.eta()));
+ m_nhist_jetseta.fill(jpos, abs(jet.eta()));
+ double drmin = 1E10;
+ for (const Particle& tjet : m_tt_jets) {
+ double dr = deltaR(jet, tjet);
+ if(dr > eps && dr < drmin)
+ {
+ drmin = dr;
+ }
+ }
+ m_hist_jetsdrjets.fill(jpos, drmin);
+ m_nhist_jetsdrjets.fill(jpos, drmin);
+ m_hist_jetsdrtops.fill(jpos, min(deltaR(jet, m_thad), deltaR(jet, m_tlep)));
+ m_nhist_jetsdrtops.fill(jpos, min(deltaR(jet, m_thad), deltaR(jet, m_tlep)));
+ }
+ }
+ for (double ptcut : {30, 50, 75, 100}) {
+ m_hist_njetspt.fill(ptcut , count_if(m_additionaljets.begin(), m_additionaljets.end(),
+ [&ptcut](const Particle& j) {return j.pt() > ptcut;}));
+ }
+ }
+
+
+ virtual void finalize()
+ {
+ m_hist_jetspt.gapfractionfromjetpt(m_hist_gap1, 1);
+ m_hist_jetspt.gapfractionfromjetpt(m_hist_gap2, 2);
+ scale(m_hist_thadpt, crossSection()/sumOfWeights());
+ scale(m_hist_thady, crossSection()/sumOfWeights());
+ scale(m_hist_tleppt, crossSection()/sumOfWeights());
+ scale(m_hist_tlepy, crossSection()/sumOfWeights());
+ scale(m_hist_ttpt, crossSection()/sumOfWeights());
+ scale(m_hist_tty, crossSection()/sumOfWeights());
+ scale(m_hist_ttm, crossSection()/sumOfWeights());
+ scale(m_hist_njet, crossSection()/sumOfWeights());
+ m_hist_njet_ttm.scale(crossSection()/sumOfWeights(), false);
+ m_hist_njet_thadpt.scale(crossSection()/sumOfWeights(), false);
+ m_hist_njet_ttpt.scale(crossSection()/sumOfWeights(), false);
+ m_hist_thady_thadpt.scale(crossSection()/sumOfWeights());
+ m_hist_ttm_tty.scale(crossSection()/sumOfWeights());
+ m_hist_thadpt_ttm.scale(crossSection()/sumOfWeights());
+ m_hist_jetspt.scale(crossSection()/sumOfWeights(), false);
+ m_hist_jetseta.scale(crossSection()/sumOfWeights(), false);
+ m_hist_jetsdrjets.scale(crossSection()/sumOfWeights(), false);
+ m_hist_jetsdrtops.scale(crossSection()/sumOfWeights(), false);
+ m_hist_njetspt.scale(crossSection()/sumOfWeights(), false);
+
+
+ scale(m_nhist_thadpt, 1./m_nhist_thadpt->sumW(false));
+ scale(m_nhist_thady, 1./m_nhist_thady->sumW(false));
+ scale(m_nhist_tleppt, 1./m_nhist_tleppt->sumW(false));
+ scale(m_nhist_tlepy, 1./m_nhist_tlepy->sumW(false));
+ scale(m_nhist_ttpt, 1./m_nhist_ttpt->sumW(false));
+ scale(m_nhist_tty, 1./m_nhist_tty->sumW(false));
+ scale(m_nhist_ttm, 1./m_nhist_ttm->sumW(false));
+ scale(m_nhist_njet, 1./m_nhist_njet->sumW(false));
+ m_nhist_njet_ttm.norm(false);
+ m_nhist_njet_thadpt.norm(false);
+ m_nhist_njet_ttpt.norm(false);
+ m_nhist_thady_thadpt.norm(true);
+ m_nhist_ttm_tty.norm(true);
+ m_nhist_thadpt_ttm.norm(true);
+ m_nhist_jetspt.norm(false);
+ m_nhist_jetseta.norm(false);
+ m_nhist_jetsdrjets.norm(false);
+ m_nhist_jetsdrtops.norm(false);
+
+ }
+
+
+ Histo1DPtr m_hist_thadpt;
+ Histo1DPtr m_hist_thady;
+ Histo1DPtr m_hist_tleppt;
+ Histo1DPtr m_hist_tlepy;
+ Histo1DPtr m_hist_ttpt;
+ Histo1DPtr m_hist_tty;
+ Histo1DPtr m_hist_ttm;
+ Histo1DPtr m_hist_njet;
+ Histo1DGroup m_hist_njet_ttm;
+ Histo1DGroup m_hist_njet_thadpt;
+ Histo1DGroup m_hist_njet_ttpt;
+ Histo1DGroup m_hist_thady_thadpt;
+ Histo1DGroup m_hist_ttm_tty;
+ Histo1DGroup m_hist_thadpt_ttm;
+ Histo1DGroup m_hist_jetspt;
+ Histo1DGroup m_hist_jetseta;
+ Histo1DGroup m_hist_jetsdrjets;
+ Histo1DGroup m_hist_jetsdrtops;
+ Histo1DGroup m_hist_njetspt;
+
+ Histo1DPtr m_nhist_thadpt;
+ Histo1DPtr m_nhist_thady;
+ Histo1DPtr m_nhist_tleppt;
+ Histo1DPtr m_nhist_tlepy;
+ Histo1DPtr m_nhist_ttm;
+ Histo1DPtr m_nhist_ttpt;
+ Histo1DPtr m_nhist_tty;
+ Histo1DPtr m_nhist_njet;
+ Histo1DGroup m_nhist_njet_ttm;
+ Histo1DGroup m_nhist_njet_thadpt;
+ Histo1DGroup m_nhist_njet_ttpt;
+ Histo1DGroup m_nhist_thady_thadpt;
+ Histo1DGroup m_nhist_ttm_tty;
+ Histo1DGroup m_nhist_thadpt_ttm;
+ Histo1DGroup m_nhist_jetspt;
+ Histo1DGroup m_nhist_jetseta;
+ Histo1DGroup m_nhist_jetsdrjets;
+ Histo1DGroup m_nhist_jetsdrtops;
+ Scatter2DPtr m_hist_gap1;
+ Scatter2DPtr m_hist_gap2;
+
+ Particles m_neutrinos;
+ Particles m_leptons;
+ Particles m_vetoleptons;
+ Jets m_bjets;
+ Jets m_ljets;
+
+ Particle m_thad;
+ Particles m_thad_decay;
+ Particle m_tlep;
+ Particles m_tlep_decay;
+ Particles m_tt_jets;
+ Particles m_additionalobjects;
+ Particles m_additionaljets;
+
+ double m_jetptmin = 25.;
+ double m_jetetamax = 2.4;
+ double m_addjetptmin = 30.;
+ double m_addjetetamax = 2.4;
+ double m_jetdr = 0.4;
+ double m_lepptmin = 30.;
+ double m_lepetamax = 2.4;
+ double m_vetolepptmin = 15.;
+ double m_vetolepetamax = 2.4;
+ double m_lepisomax = 0.35;
+ double m_lepisodr = 0.4;
+ double m_lepdressdr = 0.1;
+ double m_phptmin = 15.;
+ double m_phetamax = 2.4;
+ double m_phisomax = 0.25;
+ double m_phisodr = 0.4;
+
+ };
+
+
+ DECLARE_RIVET_PLUGIN(CMS_2018_I1663958);
+
+
+ CMS_2018_I1663958::Histo1DGroup::Histo1DGroup(CMS_2018_I1663958* an, const vector<string>& hnames, const vector<double>& xbinranges) : m_an(an), m_xbins(xbinranges) {
+ for (const string& hname : hnames) {
+ Histo1DPtr tmp;
+ m_histos.push_back(an->book(tmp,hname));
+ }
+ }
+
+ void CMS_2018_I1663958::Histo1DGroup::fill(double x, double y, double w) {
+ if (x < m_xbins[0]) {return;}
+ if (x >= m_xbins[m_xbins.size()-1]) {return;}
+ int xbin = upper_bound(m_xbins.begin(), m_xbins.end(), x) - m_xbins.begin()-1;
+ m_histos[xbin]->fill(y, w);
+ }
+
+ void CMS_2018_I1663958::Histo1DGroup::scale(double s, bool diff) {
+ for (size_t h = 0 ; h < m_histos.size() ; ++h) {
+ double sc = s;
+ if (diff) {sc /= m_xbins[h+1]-m_xbins[h];}
+ m_an->scale(m_histos[h], sc);
+ }
+ }
+
+ void CMS_2018_I1663958::Histo1DGroup::norm(bool diff) {
+ double sum = 0.;
+ for (Histo1DPtr hist : m_histos) {sum+=hist->sumW(false);}
+ scale(1./sum, diff);
+ }
+
+ void CMS_2018_I1663958::Histo1DGroup::gapfractionfromjetpt(Scatter2DPtr hgap, int njet) {
+ double total = m_histos[0]->integral();
+ int hn = njet+3;
+ double totalj = m_histos[hn]->integral();
+ double acc = total-totalj;
+ for (size_t nb = 0 ; nb < m_histos[hn]->numBins() ; ++nb) {
+ double gf = acc/total;
+ double bl = m_histos[njet+3]->bin(nb).xMin();
+ double bh = m_histos[njet+3]->bin(nb).xMax();
+ double bc = 0.5*(bh+bl);
+ hgap->addPoint(bc, gf, bc-bl, bh-bc, 0., 0.);
+ acc += m_histos[njet+3]->bin(nb).area();
+ }
+
+ }
+
+}
diff --git a/analyses/pluginCMS/CMS_2018_I1663958.info b/analyses/pluginCMS/CMS_2018_I1663958.info
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2018_I1663958.info
@@ -0,0 +1,37 @@
+Name: CMS_2018_I1663958
+Year: 2018
+Summary: Differential cross sections for top quark pair production using the lepton+jets final state in proton proton collisions at 13 TeV
+Experiment: CMS
+Collider: LHC
+InpireID: 1663958
+Status: VALIDATED
+Authors:
+ - Otto Hindrichs <otto.heinz.hindrichs@cern.ch>
+References:
+ - arXiv:1803.08856
+ - CMS-TOP-17-002
+ - Submitted to Phys. Rev. D.
+RunInfo:
+ pp QCD interactions at $\sqrt{s} = 13$ TeV. Data collected by CMS during the year 2015. Selection of lepton+jets top pair candidate events at particle level.
+NumEvents: 570000
+NeedCrossSection: no
+Luminosity: 35.8 /fb
+Beams: [p+, p+]
+Energies: [13000]
+Description:
+ 'Abstract:
+
+Differential and double-differential cross sections for the production of top quark pairs in proton-proton collisions at $\sqrt{s} = 13$\,TeV are measured as a function of kinematic variables of the top quarks and the top quark-antiquark ($\text{t}\bar{\text{t}}$) system. In addition, kinematic variables and multiplicities of jets associated with the $\text{t}\bar{\text{t}}$ production are measured. This analysis is based on data collected by the CMS experiment at the LHC in 2016 corresponding to an integrated luminosity of 35.8\,fb$^{-1}$. The measurements are performed in the lepton+jets decay channels with a single muon or electron and jets in the final state. The differential cross sections are presented at the particle level, within a phase space close to the experimental acceptance, and at the parton level in the full phase space. The results are compared to several standard model predictions that use different methods and approximations. The kinematic variables of the top quarks and the $\text{t}\bar{\text{t}}$ system are reasonably described in general, though none predict all the measured distributions. In particular, the transverse momentum distribution of the top quarks is more steeply falling than predicted. The kinematic distributions and multiplicities of jets are adequately modeled by certain combinations of next-to-leading-order calculations and parton shower models.
+
+ Rivet:
+
+This analysis is to be run on $\text{t}\bar{\text{t}}$ Monte Carlo. The particle-level phase space is defined using the following definitions:
+\begin{description}
+\item[lepton]: an electron or muon with $p_\text{T}>30\,\text{GeV}$ and $|\eta|<2.4$, dressed within a cone of radius 0.1,
+\item[jet]: a jet is reconstructed with the anti-$k_\text{T}$ algorithm with a radius of 0.4, after removing the neutrinos and dressed leptons, with $p_\text{T]>25\,\text{GeV}$ and $|\eta|<2.4$,
+\item[b-jet]: a jet that contains a B-hadron.
+\end{description}
+
+A W boson is reconstructed from a lepton and the sum of the neutrino energies, while another W boson is reconstructed from a light jet pair. The two top quarks are reconstructed by combining b jets to these W boson. A check based on the W boson and top quark masses is performed to choose the proper combinations.
+'
+
diff --git a/analyses/pluginCMS/CMS_2018_I1663958.plot b/analyses/pluginCMS/CMS_2018_I1663958.plot
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2018_I1663958.plot
@@ -0,0 +1,1990 @@
+# BEGIN PLOT /CMS_2018_I1663958/d01-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d03-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|y(\mathrm{t}_\mathrm{h})|$
+YLabel=$\frac{{d}\sigma}{{d}|y(\mathrm{t}_\mathrm{h})|}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d05-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{l})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{l})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d07-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|y(\mathrm{t}_\mathrm{l})|$
+YLabel=$\frac{{d}\sigma}{{d}|y(\mathrm{t}_\mathrm{l})|}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d09-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d11-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d13-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{{d}\sigma}{{d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d15-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=Additional jets
+YLabel=$\sigma$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d17-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 0 additional jets
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d18-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 1 additional jet
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d19-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 2 additional jets
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d20-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $\ge$3 additional jets
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d22-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 0 additional jets
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d23-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 1 additional jet
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d24-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 2 additional jets
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d25-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $\ge$3 additional jets
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d27-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 0 additional jets
+XLabel=$p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d28-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 1 additional jet
+XLabel=$p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d29-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 2 additional jets
+XLabel=$p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d30-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $\ge$3 additional jets
+XLabel=$p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d32-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $0.0 < |y(\mathrm{t}_\mathrm{h})| < 0.5$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}|y(\mathrm{t}_\mathrm{h})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d33-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $0.5 < |y(\mathrm{t}_\mathrm{h})| < 1.0$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}|y(\mathrm{t}_\mathrm{h})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d34-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $1.0 < |y(\mathrm{t}_\mathrm{h})| < 1.5$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}|y(\mathrm{t}_\mathrm{h})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d35-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $1.5 < |y(\mathrm{t}_\mathrm{h})| < 2.5$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}|y(\mathrm{t}_\mathrm{h})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d37-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $300.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 450.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d38-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $450.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 625.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d39-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $625.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 850.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d40-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $850.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 2000.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d42-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $0.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 90.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d43-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $90.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 180.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d44-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $180.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 270.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d45-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $270.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 800.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d47-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{b}_\mathrm{l})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{b}_\mathrm{l}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d48-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{b}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{b}_\mathrm{h}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d49-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{j}_\mathrm{W1})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{j}_\mathrm{W1}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d50-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{j}_\mathrm{W2})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{j}_\mathrm{W2}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d51-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{j}_\mathrm{1})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{j}_\mathrm{1}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d52-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{j}_\mathrm{2})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{j}_\mathrm{2}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d53-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{j}_\mathrm{3})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{j}_\mathrm{3}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d54-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{j}_\mathrm{4})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{j}_\mathrm{4}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d56-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{b}_\mathrm{l}})|$
+YLabel=$\frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{b}_\mathrm{l}})}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d57-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{b}_\mathrm{h}})|$
+YLabel=$\frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{b}_\mathrm{h}})}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d58-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{j}_\mathrm{W1}})|$
+YLabel=$\frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{j}_\mathrm{W1}})}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d59-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{j}_\mathrm{W2}})|$
+YLabel=$\frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{j}_\mathrm{W2}})}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d60-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{j}_\mathrm{1}})|$
+YLabel=$\frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{j}_\mathrm{1}})}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d61-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{j}_\mathrm{2}})|$
+YLabel=$\frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{j}_\mathrm{2}})}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d62-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{j}_\mathrm{3}})|$
+YLabel=$\frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{j}_\mathrm{3}})}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d63-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{j}_\mathrm{4}})|$
+YLabel=$\frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{j}_\mathrm{4}})}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d65-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{b}_\mathrm{l})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d66-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{b}_\mathrm{h})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d67-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{j}_\mathrm{W1})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d68-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{j}_\mathrm{W2})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d69-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{j}_\mathrm{1})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d70-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{j}_\mathrm{2})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d71-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{j}_\mathrm{3})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d72-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{j}_\mathrm{4})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d74-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{b}_\mathrm{l})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d75-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{b}_\mathrm{h})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d76-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{j}_\mathrm{W1})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d77-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{j}_\mathrm{W2})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d78-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{j}_\mathrm{1})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d79-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{j}_\mathrm{2})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d80-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{j}_\mathrm{3})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d81-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{j}_\mathrm{4})$
+YLabel=$\frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d83-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d85-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|y(\mathrm{t}_\mathrm{h})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}|y(\mathrm{t}_\mathrm{h})|}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d87-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{l})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{l})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d89-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|y(\mathrm{t}_\mathrm{l})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}|y(\mathrm{t}_\mathrm{l})|}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d91-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d93-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d95-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}|y(\mathrm{t}\bar{\mathrm{t}})|}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d97-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=Additional jets
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \sigma$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d99-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 0 additional jets
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d100-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 1 additional jet
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d101-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 2 additional jets
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d102-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $\ge$3 additional jets
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d104-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 0 additional jets
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d105-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 1 additional jet
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d106-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 2 additional jets
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d107-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $\ge$3 additional jets
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d109-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 0 additional jets
+XLabel=$p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d110-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 1 additional jet
+XLabel=$p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d111-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: 2 additional jets
+XLabel=$p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d112-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $\ge$3 additional jets
+XLabel=$p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d114-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $0.0 < |y(\mathrm{t}_\mathrm{h})| < 0.5$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d115-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $0.5 < |y(\mathrm{t}_\mathrm{h})| < 1.0$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d116-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $1.0 < |y(\mathrm{t}_\mathrm{h})| < 1.5$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d117-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $1.5 < |y(\mathrm{t}_\mathrm{h})| < 2.5$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d119-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $300.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 450.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d120-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $450.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 625.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d121-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $625.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 850.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d122-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $850.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 2000.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d124-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $0.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 90.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d125-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $90.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 180.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d126-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $180.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 270.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d127-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $270.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 800.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d129-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{b}_\mathrm{l})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{b}_\mathrm{l}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d130-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{b}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{b}_\mathrm{h}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d131-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{j}_\mathrm{W1})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{j}_\mathrm{W1}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d132-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{j}_\mathrm{W2})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{j}_\mathrm{W2}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d133-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{j}_\mathrm{1})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{j}_\mathrm{1}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d134-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{j}_\mathrm{2})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{j}_\mathrm{2}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d135-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{j}_\mathrm{3})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{j}_\mathrm{3}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d136-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{j}_\mathrm{4})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{\mathrm{j}_\mathrm{4}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d138-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{b}_\mathrm{l}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{b}_\mathrm{l}})}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d139-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{b}_\mathrm{h}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{b}_\mathrm{h}})}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d140-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{j}_\mathrm{W1}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{j}_\mathrm{W1}})}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d141-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{j}_\mathrm{W2}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{j}_\mathrm{W2}})}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d142-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{j}_\mathrm{1}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{j}_\mathrm{1}})}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d143-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{j}_\mathrm{2}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{j}_\mathrm{2}})}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d144-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{j}_\mathrm{3}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{j}_\mathrm{3}})}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d145-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|\eta(\mathrmrm{\mathrm{j}_\mathrm{4}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\eta(\mathrm{\mathrm{j}_\mathrm{4}})}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d147-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{b}_\mathrm{l})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d148-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{b}_\mathrm{h})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d149-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{j}_\mathrm{W1})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d150-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{j}_\mathrm{W2})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d151-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{j}_\mathrm{1})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d152-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{j}_\mathrm{2})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d153-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{j}_\mathrm{3})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d154-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_{\mathrm{j}_\mathrm{t}}(\mathrm{j}_\mathrm{4})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_{\mathrm{j}_\mathrm{t}}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d156-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{b}_\mathrm{l})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d157-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{b}_\mathrm{h})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d158-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{j}_\mathrm{W1})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d159-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{j}_\mathrm{W2})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d160-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{j}_\mathrm{1})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d161-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{j}_\mathrm{2})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d162-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{j}_\mathrm{3})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d163-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$\Delta R_\mathrm{t}(\mathrm{j}_\mathrm{4})$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}\Delta R_\mathrm{t}}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d165-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}$ [GeV]
+YLabel=$f_\mathrm{1}(p_\mathrm{T})$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d167-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}$ [GeV]
+YLabel=$f_\mathrm{2}(p_\mathrm{T})$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d169-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=Additional jets $p_{T} > 30.0$ GeV
+YLabel=$\sigma$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d170-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=Additional jets $p_{T} > 50.0$ GeV
+YLabel=$\sigma$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.9
+RatioPlotYMax=1.1
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d171-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=Additional jets $p_{T} > 75.0$ GeV
+YLabel=$\sigma$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.9
+RatioPlotYMax=1.1
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d172-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=Additional jets $p_{T} > 100.0$ GeV
+YLabel=$\sigma$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.9
+RatioPlotYMax=1.1
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d174-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\PQt_\mathrmrm{high})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\PQt_\mathrmrm{high})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d176-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\PQt_\mathrmrm{low})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\PQt_\mathrmrm{low})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d178-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d180-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|y(\mathrm{t}_\mathrm{h})|$
+YLabel=$\frac{{d}\sigma}{{d}|y(\mathrm{t}_\mathrm{h})|}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d182-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{l})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{l})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d184-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|y(\mathrm{t}_\mathrm{l})|$
+YLabel=$\frac{{d}\sigma}{{d}|y(\mathrm{t}_\mathrm{l})|}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d186-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d188-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d190-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{{d}\sigma}{{d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [pb]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d192-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $0.0 < |y(\mathrm{t}_\mathrm{h})| < 0.5$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}|y(\mathrm{t}_\mathrm{h})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d193-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $0.5 < |y(\mathrm{t}_\mathrm{h})| < 1.0$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}|y(\mathrm{t}_\mathrm{h})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d194-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $1.0 < |y(\mathrm{t}_\mathrm{h})| < 1.5$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}|y(\mathrm{t}_\mathrm{h})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d195-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $1.5 < |y(\mathrm{t}_\mathrm{h})| < 2.5$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}|y(\mathrm{t}_\mathrm{h})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d197-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $300.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 450.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d198-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $450.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 625.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d199-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $625.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 850.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d200-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $850.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 2000.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [pb GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d202-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $0.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 90.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d203-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $90.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 180.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d204-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $180.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 270.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d205-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $270.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 800.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{{d}^2\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h}) {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [pb GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d207-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\PQt_\mathrmrm{high})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}}\frac{{d}\sigma}{{d}p_\mathrm{T}(\PQt_\mathrm{high})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d209-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\PQt_\mathrmrm{low})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}}\frac{{d}\sigma}{{d}p_\mathrm{T}(\PQt_\mathrm{low})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d211-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d213-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|y(\mathrm{t}_\mathrm{h})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}|y(\mathrm{t}_\mathrm{h})|}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d215-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{l})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}_\mathrm{l})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d217-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|y(\mathrm{t}_\mathrm{l})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}|y(\mathrm{t}_\mathrm{l})|}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d219-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d221-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}p_\mathrm{T}(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d223-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}\sigma}{{d}|y(\mathrm{t}\bar{\mathrm{t}})|}$
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d225-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $0.0 < |y(\mathrm{t}_\mathrm{h})| < 0.5$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d226-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $0.5 < |y(\mathrm{t}_\mathrm{h})| < 1.0$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d227-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $1.0 < |y(\mathrm{t}_\mathrm{h})| < 1.5$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d228-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $1.5 < |y(\mathrm{t}_\mathrm{h})| < 2.5$
+XLabel=$p_\mathrm{T}(\mathrm{t}_\mathrm{h})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}p_\mathrm{T}(\mathrm{t}_\mathrm{h})}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d230-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $300.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 450.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d231-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $450.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 625.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d232-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $625.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 850.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d233-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $850.0 < M(\mathrm{t}\bar{\mathrm{t}}) < 2000.0$\,GeV
+XLabel=$|y(\mathrm{t}\bar{\mathrm{t}})|$
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}M(\mathrm{t}\bar{\mathrm{t}}) {d}|y(\mathrm{t}\bar{\mathrm{t}})|}$ [GeV$^{-1}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d235-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $0.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 90.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d236-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $90.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 180.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d237-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $180.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 270.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
+# BEGIN PLOT /CMS_2018_I1663958/d238-x01-y01
+Title=CMS, 13\,TeV, $\mathrm{t}\mathrm{\bar{t}}$ $e/\mu +\mathrm{jets}$: $270.0 < p_\mathrm{T}(\mathrm{t}_\mathrm{h}) < 800.0$\,GeV
+XLabel=$M(\mathrm{t}\bar{\mathrm{t}})$ [GeV]
+YLabel=$\frac{1}{\sigma_\mathrm{norm}} \frac{{d}^2\sigma}{{d}|y(\mathrm{t}_\mathrm{h})| {d}M(\mathrm{t}\bar{\mathrm{t}})}$ [GeV$^{-2}$]
+RatioPlotYLabel=$\frac{\mathrm{theory}}{\mathrm{data}}$
+RatioPlotYMin=0.5
+RatioPlotYMax=1.5
+RatioPlotYSize=2.6
+PlotSize=10.7,7.2
+LogY=0
+#END PLOT
+
diff --git a/analyses/pluginCMS/CMS_2018_I1663958.yoda b/analyses/pluginCMS/CMS_2018_I1663958.yoda
new file mode 100644
--- /dev/null
+++ b/analyses/pluginCMS/CMS_2018_I1663958.yoda
@@ -0,0 +1,51810 @@
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d01-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d01-x01-y01
+Title=Table 1
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 1.635250e-01 9.038098e-03 9.038098e-03
+6.000000e+01 2.000000e+01 2.000000e+01 3.757750e-01 2.006663e-02 2.006663e-02
+1.000000e+02 2.000000e+01 2.000000e+01 3.912880e-01 2.259889e-02 2.259889e-02
+1.400000e+02 2.000000e+01 2.000000e+01 2.948370e-01 1.743949e-02 1.743949e-02
+1.800000e+02 2.000000e+01 2.000000e+01 1.921040e-01 1.113815e-02 1.113815e-02
+2.200000e+02 2.000000e+01 2.000000e+01 1.164503e-01 6.780236e-03 6.780236e-03
+2.600000e+02 2.000000e+01 2.000000e+01 7.004260e-02 4.076065e-03 4.076065e-03
+3.050000e+02 2.500000e+01 2.500000e+01 3.905930e-02 2.533367e-03 2.533367e-03
+3.550000e+02 2.500000e+01 2.500000e+01 2.043340e-02 1.389512e-03 1.389512e-03
+4.050000e+02 2.500000e+01 2.500000e+01 1.036730e-02 7.871905e-04 7.871905e-04
+4.650000e+02 3.500000e+01 3.500000e+01 4.642100e-03 4.058611e-04 4.058611e-04
+6.500000e+02 1.500000e+02 1.500000e+02 8.148100e-04 1.158649e-04 1.158649e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d02-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d02-x01-y01
+Title=Table 2
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 8.167824e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.615656e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.553496e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.101129e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 7.260375e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.533994e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.363166e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.317115e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 7.597728e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.993672e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.744648e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 2.416495e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.615656e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 4.026868e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 4.015513e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.923162e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.952483e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.139160e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 6.586611e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.357830e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.837242e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 9.296293e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 4.222057e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 6.993006e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.553496e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 4.015513e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 5.106992e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.777047e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.326220e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.287375e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 8.157354e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 4.752803e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.173502e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.216589e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 4.768526e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.139878e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.101129e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.923162e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.777047e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.041210e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.822056e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.013603e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 6.581932e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.800801e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.776898e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.010653e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 4.266079e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 8.650994e-07 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 7.260375e-05 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.952483e-04 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.326220e-04 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.822056e-04 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.240693e-04 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 6.945718e-05 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.112744e-05 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.436619e-05 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.177350e-05 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 6.126210e-06 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 3.106690e-06 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 4.742509e-07 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 4.533994e-05 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.139160e-04 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.287375e-04 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.013603e-04 0.000000e+00 0.000000e+00
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+6.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.597201e-05 0.000000e+00 0.000000e+00
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+8.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 6.418109e-06 0.000000e+00 0.000000e+00
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+9.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.173502e-05 0.000000e+00 0.000000e+00
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+9.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.177350e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 7.503416e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.357283e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.263710e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.930846e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 6.238254e-07 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 3.136968e-07 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 9.882162e-08 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.993672e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 9.296293e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.216589e-05 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.010653e-05 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 6.126210e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.105492e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.407789e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.296671e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 6.238254e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 6.197259e-07 0.000000e+00 0.000000e+00
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+1.000000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 2.215018e-08 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.744648e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 4.222057e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 4.768526e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.266079e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.106690e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.943559e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.118649e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 6.409619e-07 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 3.136968e-07 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.732387e-07 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.647334e-07 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 7.368162e-09 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.416495e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 6.993006e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.139878e-06 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 8.650994e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 4.742509e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.098235e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.525607e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.106754e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 9.882162e-08 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.215018e-08 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 7.368162e-09 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.342523e-08 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d03-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d03-x01-y01
+Title=Table 3
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 5.280960e+01 2.793844e+00 2.793844e+00
+3.000000e-01 1.000000e-01 1.000000e-01 5.163960e+01 2.690771e+00 2.690771e+00
+5.000000e-01 1.000000e-01 1.000000e-01 4.822970e+01 2.575833e+00 2.575833e+00
+7.000000e-01 1.000000e-01 1.000000e-01 4.487610e+01 2.421481e+00 2.421481e+00
+9.000000e-01 1.000000e-01 1.000000e-01 3.912650e+01 2.224240e+00 2.224240e+00
+1.100000e+00 1.000000e-01 1.000000e-01 3.384100e+01 1.929527e+00 1.929527e+00
+1.300000e+00 1.000000e-01 1.000000e-01 2.713130e+01 1.639379e+00 1.639379e+00
+1.500000e+00 1.000000e-01 1.000000e-01 1.990660e+01 1.363733e+00 1.363733e+00
+1.700000e+00 1.000000e-01 1.000000e-01 1.308040e+01 9.059736e-01 9.059736e-01
+1.900000e+00 1.000000e-01 1.000000e-01 6.794040e+00 5.128061e-01 5.128061e-01
+2.250000e+00 2.500000e-01 2.500000e-01 1.009470e+00 8.785719e-02 8.785719e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d04-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d04-x01-y01
+Title=Table 4
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 7.805616e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 7.042516e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 6.883884e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 6.125572e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 5.638583e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.877909e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.003521e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.860936e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.852956e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 9.732286e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.451169e-01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 7.042516e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 7.240275e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 6.618642e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 6.207207e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 5.394634e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.753858e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.713331e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.872848e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.883229e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.013661e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.311380e-01 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 6.883884e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 6.618642e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 6.634981e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 5.747864e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 5.381819e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.658761e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.771989e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.754997e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.806462e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 9.881171e-01 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.381011e-01 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 6.125572e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 6.207207e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 5.747864e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 5.863672e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 4.808689e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.390918e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.328909e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.764229e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.780747e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 9.394098e-01 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.333886e-01 0.000000e+00 0.000000e+00
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+5.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.394634e+00 0.000000e+00 0.000000e+00
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+7.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.178390e-01 0.000000e+00 0.000000e+00
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+8.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.754997e+00 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.764229e+00 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.485499e+00 0.000000e+00 0.000000e+00
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+8.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.141134e+00 0.000000e+00 0.000000e+00
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+8.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 7.839370e-02 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.852956e+00 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.883229e+00 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.806462e+00 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.780747e+00 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.557003e+00 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.548144e+00 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.313515e+00 0.000000e+00 0.000000e+00
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+9.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 8.208572e-01 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 4.269671e-01 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 6.011835e-02 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 9.732286e-01 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.013661e+00 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 9.881171e-01 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 9.394098e-01 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 8.690057e-01 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 8.374788e-01 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 7.283334e-01 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 5.778660e-01 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 4.269671e-01 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.629673e-01 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 3.399267e-02 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.451169e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.311380e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.381011e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.333886e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.231643e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.231340e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.178390e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 7.839370e-02 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 6.011835e-02 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 3.399267e-02 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 7.718617e-03 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d05-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d05-x01-y01
+Title=Table 5
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 1.510710e-01 1.015837e-02 1.015837e-02
+6.000000e+01 2.000000e+01 2.000000e+01 3.573210e-01 2.159997e-02 2.159997e-02
+1.000000e+02 2.000000e+01 2.000000e+01 3.680960e-01 2.263375e-02 2.263375e-02
+1.400000e+02 2.000000e+01 2.000000e+01 3.155320e-01 1.825679e-02 1.825679e-02
+1.800000e+02 2.000000e+01 2.000000e+01 1.951260e-01 1.229873e-02 1.229873e-02
+2.200000e+02 2.000000e+01 2.000000e+01 1.321460e-01 8.350039e-03 8.350039e-03
+2.600000e+02 2.000000e+01 2.000000e+01 7.547600e-02 6.239116e-03 6.239116e-03
+3.050000e+02 2.500000e+01 2.500000e+01 4.323260e-02 3.009876e-03 3.009876e-03
+3.550000e+02 2.500000e+01 2.500000e+01 2.206640e-02 2.457157e-03 2.457157e-03
+4.050000e+02 2.500000e+01 2.500000e+01 1.112240e-02 1.793493e-03 1.793493e-03
+4.650000e+02 3.500000e+01 3.500000e+01 5.778400e-03 7.697346e-04 7.697346e-04
+6.500000e+02 1.500000e+02 1.500000e+02 9.738600e-04 1.106211e-04 1.106211e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d06-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d06-x01-y01
+Title=Table 6
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.031949e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.172203e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.727043e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.140361e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 9.088977e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.257089e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.055070e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.479773e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 9.246539e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.575589e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 2.885744e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 2.826330e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.172203e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 4.665781e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.384174e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.414505e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.777250e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.405501e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 6.868736e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.419766e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.822101e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 9.024773e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 5.790617e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 9.203382e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.727043e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.384174e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 5.123090e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.205997e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.305857e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.336089e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 6.923029e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 4.838826e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.683128e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.397423e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 5.194688e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.014259e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.140361e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.414505e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.205997e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.333112e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.702046e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.176691e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 6.846299e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.575208e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.147080e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 9.624810e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 4.718156e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 9.761889e-07 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 9.088977e-05 0.000000e+00 0.000000e+00
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+5.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.093815e-05 0.000000e+00 0.000000e+00
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+8.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 9.059461e-06 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -4.976547e-07 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.487345e-06 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.734496e-07 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.828216e-07 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 9.246539e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.822101e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.683128e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.147080e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.252136e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.037121e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 5.668138e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -4.976547e-07 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 6.037748e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -1.994047e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.447996e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -4.379500e-08 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.575589e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 9.024773e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.397423e-05 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 9.624810e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 6.565994e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 9.803124e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.416019e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.487345e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.994047e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 3.216529e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -8.526805e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.431552e-07 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.885744e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.790617e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 5.194688e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.718156e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.415239e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.988691e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.023482e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.734496e-07 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.447996e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -8.526805e-07 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 5.924545e-07 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -3.322704e-08 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.826330e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 9.203382e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.014259e-06 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 9.761889e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.968588e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.422175e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.657033e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.828216e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -4.379500e-08 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.431552e-07 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -3.322704e-08 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.223743e-08 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d07-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d07-x01-y01
+Title=Table 7
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 4.991860e+01 2.895224e+00 2.895224e+00
+3.000000e-01 1.000000e-01 1.000000e-01 4.868080e+01 2.820220e+00 2.820220e+00
+5.000000e-01 1.000000e-01 1.000000e-01 4.757520e+01 2.673600e+00 2.673600e+00
+7.000000e-01 1.000000e-01 1.000000e-01 4.422520e+01 2.654378e+00 2.654378e+00
+9.000000e-01 1.000000e-01 1.000000e-01 3.903360e+01 2.425035e+00 2.425035e+00
+1.100000e+00 1.000000e-01 1.000000e-01 3.386450e+01 2.024613e+00 2.024613e+00
+1.300000e+00 1.000000e-01 1.000000e-01 2.795920e+01 2.056056e+00 2.056056e+00
+1.500000e+00 1.000000e-01 1.000000e-01 1.924450e+01 1.658257e+00 1.658257e+00
+1.700000e+00 1.000000e-01 1.000000e-01 1.455670e+01 1.267893e+00 1.267893e+00
+1.900000e+00 1.000000e-01 1.000000e-01 8.752000e+00 1.028852e+00 1.028852e+00
+2.250000e+00 2.500000e-01 2.500000e-01 2.337900e+00 2.845205e-01 2.845205e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d08-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d08-x01-y01
+Title=Table 8
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 8.382228e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 6.237935e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 6.746090e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.869210e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 6.082016e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.927317e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.068883e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.844610e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.902137e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.481371e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 3.147390e-01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 6.237935e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 7.953723e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 6.176748e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 5.953232e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 5.278356e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.569436e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.875173e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.261881e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.564746e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 8.943664e-01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 3.316028e-01 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 6.746090e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 6.176748e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 7.148354e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.782120e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 4.996653e+00 0.000000e+00 0.000000e+00
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+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.000337e+00 0.000000e+00 0.000000e+00
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+1.000000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -8.691697e-02 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 3.147390e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.316028e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.788553e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.400555e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.363157e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.269979e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 8.881634e-02 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.569205e-01 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 4.899592e-02 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -8.691697e-02 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 8.093890e-02 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d09-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d09-x01-y01
+Title=Table 9
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 7.622200e-02 8.693191e-03 8.693191e-03
+3.950000e+02 3.500000e+01 3.500000e+01 1.998770e-01 1.239136e-02 1.239136e-02
+4.650000e+02 3.500000e+01 3.500000e+01 1.907570e-01 1.272117e-02 1.272117e-02
+5.400000e+02 4.000000e+01 4.000000e+01 1.470970e-01 8.338248e-03 8.338248e-03
+6.300000e+02 5.000000e+01 5.000000e+01 9.631190e-02 5.747553e-03 5.747553e-03
+7.400000e+02 6.000000e+01 6.000000e+01 5.509030e-02 3.394182e-03 3.394182e-03
+9.000000e+02 1.000000e+02 1.000000e+02 2.459860e-02 1.533826e-03 1.533826e-03
+1.100000e+03 1.000000e+02 1.000000e+02 8.905400e-03 6.844049e-04 6.844049e-04
+1.350000e+03 1.500000e+02 1.500000e+02 3.025600e-03 2.919809e-04 2.919809e-04
+2.000000e+03 5.000000e+02 5.000000e+02 4.172300e-04 5.523995e-05 5.523995e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d10-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d10-x01-y01
+Title=Table 10
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 7.557172e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -1.438479e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -3.158736e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.543575e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -6.250715e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -1.226772e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.143420e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -1.396195e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -5.977698e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -8.391785e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -1.438479e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.535542e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.431694e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 8.033466e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 6.068587e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.302442e-05 0.000000e+00 0.000000e+00
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+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -3.158736e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.431694e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.618289e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 9.079148e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 6.490157e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.497473e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.474012e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 6.345738e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.241175e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.409436e-07 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 4.543575e-06 0.000000e+00 0.000000e+00
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+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 9.079148e-05 0.000000e+00 0.000000e+00
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+7.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.352612e-06 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 6.954945e-07 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.966103e-07 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 5.091131e-08 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -1.396195e-06 0.000000e+00 0.000000e+00
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+8.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.360042e-06 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.599433e-06 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 6.954945e-07 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 4.684227e-07 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 9.892708e-08 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.715212e-08 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -5.977698e-07 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.911569e-06 0.000000e+00 0.000000e+00
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+9.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 9.471706e-07 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 6.333847e-07 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.966103e-07 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 9.892708e-08 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 8.523348e-08 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -2.083249e-10 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -8.391785e-10 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.538578e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.409436e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.925277e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.546326e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 5.727249e-08 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 5.091131e-08 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.715212e-08 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -2.083249e-10 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 3.052074e-09 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d11-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d11-x01-y01
+Title=Table 11
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 7.675850e-01 4.535987e-02 4.535987e-02
+6.000000e+01 2.000000e+01 2.000000e+01 4.362190e-01 2.490599e-02 2.490599e-02
+1.150000e+02 3.500000e+01 3.500000e+01 1.718040e-01 1.137791e-02 1.137791e-02
+1.850000e+02 3.500000e+01 3.500000e+01 6.314590e-02 3.957790e-03 3.957790e-03
+2.600000e+02 4.000000e+01 4.000000e+01 2.641100e-02 1.975720e-03 1.975720e-03
+3.400000e+02 4.000000e+01 4.000000e+01 9.590700e-03 8.856801e-04 8.856801e-04
+4.400000e+02 6.000000e+01 6.000000e+01 3.958000e-03 3.272029e-04 3.272029e-04
+7.500000e+02 2.500000e+02 2.500000e+02 4.472900e-04 3.873389e-05 3.873389e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d12-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d12-x01-y01
+Title=Table 12
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.057521e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 6.217145e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 4.202474e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.326496e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 5.782120e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.279463e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 8.411988e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 8.283603e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 6.217145e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 6.203097e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.829579e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 7.603300e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.117731e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 9.592156e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 5.012053e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 5.037735e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 4.202474e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.829579e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.294507e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.442146e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.581685e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 6.974232e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.898987e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.342882e-07 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.326496e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 7.603300e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.442146e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.566416e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 5.223089e-06 0.000000e+00 0.000000e+00
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+4.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 8.884459e-07 0.000000e+00 0.000000e+00
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+5.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 5.782120e-05 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.117731e-05 0.000000e+00 0.000000e+00
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+5.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 5.223089e-06 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.903425e-06 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.720140e-07 0.000000e+00 0.000000e+00
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+5.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.458629e-08 0.000000e+00 0.000000e+00
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+6.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 6.974232e-06 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.149380e-06 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.720140e-07 0.000000e+00 0.000000e+00
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+6.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.784971e-08 0.000000e+00 0.000000e+00
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+7.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 8.411988e-06 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.012053e-06 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.898987e-06 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 8.884459e-07 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 4.927706e-07 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.784971e-08 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.070923e-07 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 4.870582e-09 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 8.283603e-07 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.037735e-07 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.342882e-07 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 7.913109e-08 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.458629e-08 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.507058e-08 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.870582e-09 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.500653e-09 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d13-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d13-x01-y01
+Title=Table 13
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 6.700090e+01 3.598518e+00 3.598518e+00
+3.000000e-01 1.000000e-01 1.000000e-01 6.339880e+01 3.422127e+00 3.422127e+00
+5.000000e-01 1.000000e-01 1.000000e-01 5.696480e+01 3.215754e+00 3.215754e+00
+7.000000e-01 1.000000e-01 1.000000e-01 4.908270e+01 2.867127e+00 2.867127e+00
+9.000000e-01 1.000000e-01 1.000000e-01 3.919700e+01 2.231096e+00 2.231096e+00
+1.100000e+00 1.000000e-01 1.000000e-01 2.783630e+01 1.734221e+00 1.734221e+00
+1.300000e+00 1.000000e-01 1.000000e-01 1.900900e+01 1.262896e+00 1.262896e+00
+1.500000e+00 1.000000e-01 1.000000e-01 1.059050e+01 7.786220e-01 7.786220e-01
+1.700000e+00 1.000000e-01 1.000000e-01 4.571600e+00 5.255288e-01 5.255288e-01
+2.100000e+00 3.000000e-01 3.000000e-01 6.430800e-01 8.728689e-02 8.728689e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d14-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d14-x01-y01
+Title=Table 14
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.294929e+01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.074107e+01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.104721e+01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 8.492955e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 7.207111e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 5.501212e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.616703e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.070509e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 7.972139e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.197832e-01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.074107e+01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.171078e+01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 9.306749e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 8.858937e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 6.729251e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 5.103466e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.328224e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.882776e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.156763e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 8.228146e-02 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.104721e+01 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 9.306749e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.034087e+01 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 7.622336e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 6.018415e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.973929e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.354277e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.848658e+00 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 7.068231e-01 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 8.396094e-02 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 8.492955e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 8.858937e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 7.622336e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 8.220474e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 5.104222e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.833770e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.066251e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.787638e+00 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 9.009468e-01 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 8.181130e-02 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 7.207111e+00 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 6.729251e+00 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 6.018415e+00 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 5.104222e+00 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 4.977877e+00 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.418367e+00 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.984400e+00 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.383727e+00 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 5.827210e-01 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 9.026005e-02 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 5.501212e+00 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.103466e+00 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 4.973929e+00 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.833770e+00 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.418367e+00 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.007633e+00 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.604710e+00 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 9.730452e-01 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 5.041195e-01 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 5.007316e-02 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 3.616703e+00 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.328224e+00 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.354277e+00 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.066251e+00 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.984400e+00 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.604710e+00 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.594904e+00 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 7.059756e-01 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 3.889423e-01 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.474672e-02 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.070509e+00 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.882776e+00 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.848658e+00 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.787638e+00 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.383727e+00 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 9.730452e-01 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 7.059756e-01 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 6.062770e-01 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.437119e-01 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 3.245219e-02 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 7.972139e-01 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.156763e+00 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 7.068231e-01 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 9.009468e-01 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 5.827210e-01 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 5.041195e-01 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.889423e-01 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.437119e-01 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.761668e-01 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -1.086432e-02 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.197832e-01 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 8.228146e-02 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 8.396094e-02 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 8.181130e-02 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 9.026005e-02 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 5.007316e-02 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.474672e-02 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.245219e-02 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.086432e-02 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 7.619146e-03 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d15-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d15-x01-y01
+Title=Table 15
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+0.000000e+00 5.000000e-01 5.000000e-01 3.804000e+01 1.814157e+00 1.814157e+00
+1.000000e+00 5.000000e-01 5.000000e-01 1.972922e+01 1.162966e+00 1.162966e+00
+2.000000e+00 5.000000e-01 5.000000e-01 7.125480e+00 5.497824e-01 5.497824e-01
+3.000000e+00 5.000000e-01 5.000000e-01 2.332650e+00 2.091417e-01 2.091417e-01
+4.000000e+00 5.000000e-01 5.000000e-01 6.289900e-01 8.110747e-02 8.110747e-02
+5.000000e+00 5.000000e-01 5.000000e-01 2.440120e-01 3.363538e-02 3.363538e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d16-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d16-x01-y01
+Title=Table 16
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 3.291176e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.763495e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 6.906546e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.354783e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 6.818359e-02 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.748391e-02 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.763495e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.352483e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 5.951532e-01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.018381e-01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 6.989437e-02 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.678043e-02 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 6.906546e-01 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.951532e-01 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.022613e-01 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 9.452220e-02 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.064666e-02 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.472764e-02 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.354783e-01 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.018381e-01 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 9.452220e-02 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.374042e-02 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 9.456066e-03 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 5.848468e-03 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 6.818359e-02 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 6.989437e-02 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.064666e-02 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 9.456066e-03 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 6.577944e-03 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 9.729389e-04 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.748391e-02 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.678043e-02 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.472764e-02 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 5.848468e-03 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 9.729389e-04 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.131363e-03 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d17-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d17-x01-y01
+Title=Table 17
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 4.366200e-02 4.899449e-03 4.899449e-03
+3.950000e+02 3.500000e+01 3.500000e+01 1.097604e-01 5.889605e-03 5.889605e-03
+4.650000e+02 3.500000e+01 3.500000e+01 1.042084e-01 6.055640e-03 6.055640e-03
+5.400000e+02 4.000000e+01 4.000000e+01 8.085750e-02 4.394279e-03 4.394279e-03
+6.300000e+02 5.000000e+01 5.000000e+01 5.382710e-02 3.053121e-03 3.053121e-03
+7.400000e+02 6.000000e+01 6.000000e+01 3.140040e-02 1.608913e-03 1.608913e-03
+9.000000e+02 1.000000e+02 1.000000e+02 1.427370e-02 9.264577e-04 9.264577e-04
+1.100000e+03 1.000000e+02 1.000000e+02 5.243200e-03 5.189806e-04 5.189806e-04
+1.600000e+03 4.000000e+02 4.000000e+02 9.892600e-04 9.259388e-05 9.259388e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d18-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d18-x01-y01
+Title=Table 18
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 2.072730e-02 2.249406e-03 2.249406e-03
+3.950000e+02 3.500000e+01 3.500000e+01 5.974710e-02 3.935073e-03 3.935073e-03
+4.650000e+02 3.500000e+01 3.500000e+01 5.728490e-02 4.076593e-03 4.076593e-03
+5.400000e+02 4.000000e+01 4.000000e+01 4.290810e-02 2.850724e-03 2.850724e-03
+6.300000e+02 5.000000e+01 5.000000e+01 2.785220e-02 1.972824e-03 1.972824e-03
+7.400000e+02 6.000000e+01 6.000000e+01 1.560430e-02 1.038243e-03 1.038243e-03
+9.000000e+02 1.000000e+02 1.000000e+02 6.789400e-03 4.764278e-04 4.764278e-04
+1.100000e+03 1.000000e+02 1.000000e+02 2.434220e-03 2.582007e-04 2.582007e-04
+1.600000e+03 4.000000e+02 4.000000e+02 3.854900e-04 4.578004e-05 4.578004e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d19-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d19-x01-y01
+Title=Table 19
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 6.847300e-03 5.712013e-04 5.712013e-04
+3.950000e+02 3.500000e+01 3.500000e+01 2.225310e-02 1.719493e-03 1.719493e-03
+4.650000e+02 3.500000e+01 3.500000e+01 2.123330e-02 2.140583e-03 2.140583e-03
+5.400000e+02 4.000000e+01 4.000000e+01 1.592870e-02 1.410425e-03 1.410425e-03
+6.300000e+02 5.000000e+01 5.000000e+01 1.006410e-02 9.614252e-04 9.614252e-04
+7.400000e+02 6.000000e+01 6.000000e+01 5.601100e-03 5.689095e-04 5.689095e-04
+9.000000e+02 1.000000e+02 1.000000e+02 2.436930e-03 2.042119e-04 2.042119e-04
+1.100000e+03 1.000000e+02 1.000000e+02 8.468800e-04 1.065070e-04 1.065070e-04
+1.600000e+03 4.000000e+02 4.000000e+02 1.351350e-04 2.129492e-05 2.129492e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d20-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d20-x01-y01
+Title=Table 20
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 2.524560e-03 3.360871e-04 3.360871e-04
+3.950000e+02 3.500000e+01 3.500000e+01 9.541300e-03 1.016825e-03 1.016825e-03
+4.650000e+02 3.500000e+01 3.500000e+01 9.679400e-03 1.097355e-03 1.097355e-03
+5.400000e+02 4.000000e+01 4.000000e+01 7.135700e-03 7.765565e-04 7.765565e-04
+6.300000e+02 5.000000e+01 5.000000e+01 4.575020e-03 5.519939e-04 5.519939e-04
+7.400000e+02 6.000000e+01 6.000000e+01 2.494740e-03 3.609371e-04 3.609371e-04
+9.000000e+02 1.000000e+02 1.000000e+02 1.138630e-03 1.940570e-04 1.940570e-04
+1.100000e+03 1.000000e+02 1.000000e+02 4.184300e-04 6.193605e-05 6.193605e-05
+1.600000e+03 4.000000e+02 4.000000e+02 6.461900e-05 2.038269e-05 2.038269e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d21-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d21-x01-y01
+Title=Table 21
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.400409e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.704090e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -4.193631e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.022036e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.854064e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 8.663244e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 5.149913e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -8.114626e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -3.124116e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 7.766533e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -7.917989e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -5.864447e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 -8.244223e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 4.327481e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -3.601127e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 8.130969e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 1.667265e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -8.117756e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 1.597441e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -1.374186e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -4.121400e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -2.276263e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -1.051918e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -4.240617e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -2.537226e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -6.756189e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 1.569832e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 3.450224e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -9.528268e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -4.128774e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 -1.264084e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 -1.047425e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 -9.003071e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 -1.001762e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 -1.111104e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 -3.331166e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 5.704090e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.468695e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.719957e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.683029e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.365857e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 7.345599e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.537501e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.843979e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.614222e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.815389e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.384402e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.649419e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 9.490762e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 5.542215e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 4.289644e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 1.347475e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 1.521059e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 1.170108e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 1.507926e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 6.497971e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 8.341835e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 4.396085e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 1.640678e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 1.378102e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 6.944699e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 1.103179e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 2.667813e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 7.333687e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 3.152748e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 2.325874e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 2.118502e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 1.084308e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 1.068542e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 2.133043e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 1.380150e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 3.489457e-08 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -4.193631e-06 0.000000e+00 0.000000e+00
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+3.600000e+01 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -2.551070e-10 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -1.552366e-11 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 1.392868e-09 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 8.059045e-09 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -5.992150e-10 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 2.387451e-09 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 7.553497e-10 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 3.936509e-09 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 -3.855032e-10 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 -5.159158e-11 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 4.154319e-10 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d22-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d22-x01-y01
+Title=Table 22
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 9.835760e-02 5.974228e-03 5.974228e-03
+6.000000e+01 2.000000e+01 2.000000e+01 2.227360e-01 1.107985e-02 1.107985e-02
+1.000000e+02 2.000000e+01 2.000000e+01 2.300010e-01 1.259611e-02 1.259611e-02
+1.400000e+02 2.000000e+01 2.000000e+01 1.676656e-01 9.002493e-03 9.002493e-03
+1.800000e+02 2.000000e+01 2.000000e+01 1.032903e-01 5.620557e-03 5.620557e-03
+2.200000e+02 2.000000e+01 2.000000e+01 5.855320e-02 3.531521e-03 3.531521e-03
+2.600000e+02 2.000000e+01 2.000000e+01 3.267860e-02 1.998922e-03 1.998922e-03
+3.050000e+02 2.500000e+01 2.500000e+01 1.683320e-02 1.241435e-03 1.241435e-03
+3.550000e+02 2.500000e+01 2.500000e+01 8.436600e-03 6.570927e-04 6.570927e-04
+4.150000e+02 3.500000e+01 3.500000e+01 3.466500e-03 3.763499e-04 3.763499e-04
+6.250000e+02 1.750000e+02 1.750000e+02 4.696800e-04 5.571751e-05 5.571751e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d23-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d23-x01-y01
+Title=Table 23
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 4.361110e-02 3.461399e-03 3.461399e-03
+6.000000e+01 2.000000e+01 2.000000e+01 1.035003e-01 7.437247e-03 7.437247e-03
+1.000000e+02 2.000000e+01 2.000000e+01 1.091208e-01 6.959620e-03 6.959620e-03
+1.400000e+02 2.000000e+01 2.000000e+01 8.541900e-02 5.430707e-03 5.430707e-03
+1.800000e+02 2.000000e+01 2.000000e+01 5.766670e-02 3.629554e-03 3.629554e-03
+2.200000e+02 2.000000e+01 2.000000e+01 3.692640e-02 2.634867e-03 2.634867e-03
+2.600000e+02 2.000000e+01 2.000000e+01 2.286360e-02 1.571339e-03 1.571339e-03
+3.050000e+02 2.500000e+01 2.500000e+01 1.295550e-02 9.119377e-04 9.119377e-04
+3.550000e+02 2.500000e+01 2.500000e+01 6.443000e-03 5.874970e-04 5.874970e-04
+4.150000e+02 3.500000e+01 3.500000e+01 2.994270e-03 2.667015e-04 2.667015e-04
+6.250000e+02 1.750000e+02 1.750000e+02 4.306900e-04 4.690026e-05 4.690026e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d24-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d24-x01-y01
+Title=Table 24
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 1.429790e-02 1.542862e-03 1.542862e-03
+6.000000e+01 2.000000e+01 2.000000e+01 3.471860e-02 2.838010e-03 2.838010e-03
+1.000000e+02 2.000000e+01 2.000000e+01 3.809150e-02 3.097391e-03 3.097391e-03
+1.400000e+02 2.000000e+01 2.000000e+01 3.054980e-02 2.699128e-03 2.699128e-03
+1.800000e+02 2.000000e+01 2.000000e+01 2.204790e-02 1.798396e-03 1.798396e-03
+2.200000e+02 2.000000e+01 2.000000e+01 1.472490e-02 1.393516e-03 1.393516e-03
+2.600000e+02 2.000000e+01 2.000000e+01 9.708500e-03 7.806030e-04 7.806030e-04
+3.050000e+02 2.500000e+01 2.500000e+01 6.024200e-03 5.710489e-04 5.710489e-04
+3.550000e+02 2.500000e+01 2.500000e+01 3.389960e-03 3.424540e-04 3.424540e-04
+4.150000e+02 3.500000e+01 3.500000e+01 1.598810e-03 1.521104e-04 1.521104e-04
+6.250000e+02 1.750000e+02 1.750000e+02 2.174900e-04 2.808772e-05 2.808772e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d25-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d25-x01-y01
+Title=Table 25
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 5.820070e-03 5.610110e-04 5.610110e-04
+6.000000e+01 2.000000e+01 2.000000e+01 1.410940e-02 1.558543e-03 1.558543e-03
+1.000000e+02 2.000000e+01 2.000000e+01 1.554920e-02 1.570461e-03 1.570461e-03
+1.400000e+02 2.000000e+01 2.000000e+01 1.297980e-02 1.357058e-03 1.357058e-03
+1.800000e+02 2.000000e+01 2.000000e+01 9.569400e-03 1.064935e-03 1.064935e-03
+2.200000e+02 2.000000e+01 2.000000e+01 6.719300e-03 7.217788e-04 7.217788e-04
+2.600000e+02 2.000000e+01 2.000000e+01 4.773100e-03 5.988088e-04 5.988088e-04
+3.050000e+02 2.500000e+01 2.500000e+01 3.298950e-03 4.187088e-04 4.187088e-04
+3.550000e+02 2.500000e+01 2.500000e+01 2.072020e-03 2.390688e-04 2.390688e-04
+4.150000e+02 3.500000e+01 3.500000e+01 1.086160e-03 1.251043e-04 1.251043e-04
+6.250000e+02 1.750000e+02 1.750000e+02 1.623100e-04 2.777737e-05 2.777737e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d26-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d26-x01-y01
+Title=Table 26
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 3.569172e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.142895e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.327071e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.430789e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.983119e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 8.532297e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 5.886178e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.684888e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.844676e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 6.846253e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 2.850360e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.567210e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 3.233545e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 2.003070e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 1.253788e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 7.944298e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 9.197888e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 4.064107e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 1.322567e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 1.052595e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 2.388552e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 5.395335e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 5.557727e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 6.174432e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 6.862594e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 3.451048e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 3.637956e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 1.353221e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 8.276957e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 1.222708e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 1.745165e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 2.081547e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 -5.900542e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 9.797507e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 1.763058e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 2.795261e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 2.328758e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 1.567190e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 3.340732e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 1.216572e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 8.565942e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 2.597949e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 1.996091e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 3.901835e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 5.142895e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.227685e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.157961e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 8.163140e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 4.713108e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.657904e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.399545e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 6.919349e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 3.062209e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.345074e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 2.144964e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 2.080109e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 5.055968e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 5.422141e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 4.135488e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 2.760324e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 1.580036e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 1.006928e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 5.602564e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 3.065861e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 1.461579e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 1.631257e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 8.102337e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 1.805245e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 1.979727e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 1.556224e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 1.066073e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 7.000662e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 4.553436e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 2.564022e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 1.728466e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 7.699420e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 9.413738e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 2.947129e-06 0.000000e+00 0.000000e+00
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+4.400000e+01 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -1.236594e-10 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 3.324783e-09 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 1.513441e-09 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 3.807086e-10 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 7.483788e-09 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 1.401846e-08 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 1.791471e-08 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 1.671207e-08 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 9.814096e-09 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 8.393174e-09 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 1.017281e-08 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 4.681732e-10 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 2.775986e-09 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 4.488904e-10 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 7.717383e-10 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d27-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d27-x01-y01
+Title=Table 27
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 6.652100e-01 3.679287e-02 3.679287e-02
+6.000000e+01 2.000000e+01 2.000000e+01 2.164620e-01 1.799179e-02 1.799179e-02
+1.150000e+02 3.500000e+01 3.500000e+01 3.249760e-02 2.842782e-03 2.842782e-03
+1.850000e+02 3.500000e+01 3.500000e+01 4.821400e-03 7.869983e-04 7.869983e-04
+2.600000e+02 4.000000e+01 4.000000e+01 7.174000e-04 2.273244e-04 2.273244e-04
+6.500000e+02 3.500000e+02 3.500000e+02 2.493100e-05 8.987758e-06 8.987758e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d28-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d28-x01-y01
+Title=Table 28
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 7.935500e-02 9.053785e-03 9.053785e-03
+6.000000e+01 2.000000e+01 2.000000e+01 1.722840e-01 1.186553e-02 1.186553e-02
+1.150000e+02 3.500000e+01 3.500000e+01 8.794000e-02 4.848415e-03 4.848415e-03
+1.850000e+02 3.500000e+01 3.500000e+01 3.060090e-02 1.852978e-03 1.852978e-03
+2.600000e+02 4.000000e+01 4.000000e+01 1.043260e-02 8.626219e-04 8.626219e-04
+3.400000e+02 4.000000e+01 4.000000e+01 3.886000e-03 6.880370e-04 6.880370e-04
+6.900000e+02 3.100000e+02 3.100000e+02 4.330800e-04 3.829653e-05 3.829653e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d29-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d29-x01-y01
+Title=Table 29
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 1.681120e-02 2.945151e-03 2.945151e-03
+6.000000e+01 2.000000e+01 2.000000e+01 3.672250e-02 3.794092e-03 3.794092e-03
+1.150000e+02 3.500000e+01 3.500000e+01 3.581110e-02 3.307885e-03 3.307885e-03
+1.850000e+02 3.500000e+01 3.500000e+01 1.806110e-02 1.651513e-03 1.651513e-03
+2.600000e+02 4.000000e+01 4.000000e+01 9.091400e-03 8.785997e-04 8.785997e-04
+3.400000e+02 4.000000e+01 4.000000e+01 3.269800e-03 6.885684e-04 6.885684e-04
+4.400000e+02 6.000000e+01 6.000000e+01 1.275480e-03 1.726554e-04 1.726554e-04
+7.500000e+02 2.500000e+02 2.500000e+02 1.188000e-04 2.149581e-05 2.149581e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d30-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d30-x01-y01
+Title=Table 30
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 4.488900e-03 1.264073e-03 1.264073e-03
+6.000000e+01 2.000000e+01 2.000000e+01 1.243940e-02 1.792473e-03 1.792473e-03
+1.150000e+02 3.500000e+01 3.500000e+01 1.346330e-02 1.622588e-03 1.622588e-03
+1.850000e+02 3.500000e+01 3.500000e+01 9.903000e-03 1.098841e-03 1.098841e-03
+2.600000e+02 4.000000e+01 4.000000e+01 6.299700e-03 9.237367e-04 9.237367e-04
+3.400000e+02 4.000000e+01 4.000000e+01 2.415800e-03 4.705084e-04 4.705084e-04
+4.400000e+02 6.000000e+01 6.000000e+01 1.161380e-03 2.167516e-04 2.167516e-04
+7.500000e+02 2.500000e+02 2.500000e+02 1.608900e-04 2.285341e-05 2.285341e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d31-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d31-x01-y01
+Title=Table 31
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.353683e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 4.194811e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.339196e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 6.657613e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -1.456829e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.153770e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.964522e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.644692e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.482383e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 4.475937e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.410541e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 5.821144e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 6.239727e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 5.373935e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 8.582336e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 7.253336e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 3.128779e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 1.467999e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 6.886876e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 2.484274e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 1.458891e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 1.103296e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 3.699848e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 3.019845e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 1.978032e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 1.581661e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 4.477743e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 2.023377e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 2.921488e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 4.194811e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.237119e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.886100e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.235772e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.223210e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -8.132852e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -2.203377e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 5.639197e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.734096e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.342366e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 3.942266e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 3.117399e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 1.452414e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -1.664492e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 4.866651e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 7.057740e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 8.487693e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 1.062435e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -9.283921e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 5.232289e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 6.834201e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -3.071714e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -7.883903e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 1.912576e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 2.628778e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 9.739823e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 3.474075e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 4.812396e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 4.988904e-08 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 3.339196e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.886100e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 8.081541e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -3.592185e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 7.249961e-08 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.107998e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.512745e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 5.933218e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 6.432344e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.590566e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 4.793076e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 3.430891e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 2.033076e-08 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 2.491322e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 1.138414e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 1.454552e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 3.870947e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 3.090047e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 4.042623e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 2.772707e-08 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 1.017369e-08 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -7.141187e-08 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 1.631727e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 3.049001e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 8.495521e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 6.361348e-08 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 2.438828e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 2.957802e-08 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 8.057284e-09 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 6.657613e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.235772e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -3.592185e-07 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 6.193896e-07 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -1.200558e-08 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -1.747046e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.804190e-06 0.000000e+00 0.000000e+00
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+5.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.462557e-08 0.000000e+00 0.000000e+00
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+2.800000e+01 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 9.547943e-08 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -3.786568e-08 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -9.442606e-10 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 2.225460e-09 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -7.378017e-08 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 1.260497e-07 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 1.007867e-07 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 4.266889e-08 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 1.052346e-07 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -4.074793e-08 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 4.697933e-08 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -1.341451e-09 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.921488e-07 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 4.988904e-08 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 8.057284e-09 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -9.871067e-10 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -1.501265e-09 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 7.392410e-11 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 7.321091e-08 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.142515e-07 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 5.075595e-08 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.450135e-08 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 2.523785e-09 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 2.854988e-09 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 3.017154e-10 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 1.037541e-08 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 4.440906e-08 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 2.016220e-08 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -2.789326e-11 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 8.776790e-10 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 2.961954e-09 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 1.229989e-09 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -9.111552e-11 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 8.898395e-09 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 1.092548e-08 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 9.944972e-09 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 1.342673e-08 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 5.580324e-09 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 2.226320e-09 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -1.341451e-09 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 5.220582e-10 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d32-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d32-x01-y01
+Title=Table 32
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 1.218710e-01 6.847395e-03 6.847395e-03
+6.000000e+01 2.000000e+01 2.000000e+01 2.837560e-01 1.561075e-02 1.561075e-02
+1.000000e+02 2.000000e+01 2.000000e+01 2.981560e-01 1.682290e-02 1.682290e-02
+1.400000e+02 2.000000e+01 2.000000e+01 2.224160e-01 1.273681e-02 1.273681e-02
+1.800000e+02 2.000000e+01 2.000000e+01 1.464500e-01 8.106414e-03 8.106414e-03
+2.200000e+02 2.000000e+01 2.000000e+01 8.786190e-02 5.160523e-03 5.160523e-03
+2.600000e+02 2.000000e+01 2.000000e+01 5.379820e-02 3.083070e-03 3.083070e-03
+3.050000e+02 2.500000e+01 2.500000e+01 2.963620e-02 1.933104e-03 1.933104e-03
+3.550000e+02 2.500000e+01 2.500000e+01 1.589160e-02 1.094588e-03 1.094588e-03
+4.150000e+02 3.500000e+01 3.500000e+01 7.137000e-03 6.116146e-04 6.116146e-04
+6.250000e+02 1.750000e+02 1.750000e+02 1.118150e-03 1.133735e-04 1.133735e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d33-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d33-x01-y01
+Title=Table 33
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 1.031470e-01 7.243341e-03 7.243341e-03
+6.000000e+01 2.000000e+01 2.000000e+01 2.404620e-01 1.301119e-02 1.301119e-02
+1.000000e+02 2.000000e+01 2.000000e+01 2.509770e-01 1.406003e-02 1.406003e-02
+1.400000e+02 2.000000e+01 2.000000e+01 1.874490e-01 1.171779e-02 1.171779e-02
+1.800000e+02 2.000000e+01 2.000000e+01 1.193250e-01 7.157520e-03 7.157520e-03
+2.200000e+02 2.000000e+01 2.000000e+01 7.225960e-02 4.726735e-03 4.726735e-03
+2.600000e+02 2.000000e+01 2.000000e+01 4.309520e-02 2.772135e-03 2.772135e-03
+3.050000e+02 2.500000e+01 2.500000e+01 2.460130e-02 1.678440e-03 1.678440e-03
+3.550000e+02 2.500000e+01 2.500000e+01 1.289890e-02 9.771067e-04 9.771067e-04
+4.150000e+02 3.500000e+01 3.500000e+01 6.058700e-03 5.261629e-04 5.261629e-04
+6.250000e+02 1.750000e+02 1.750000e+02 7.893800e-04 7.849520e-05 7.849520e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d34-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d34-x01-y01
+Title=Table 34
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 6.852100e-02 4.624731e-03 4.624731e-03
+6.000000e+01 2.000000e+01 2.000000e+01 1.596690e-01 9.601647e-03 9.601647e-03
+1.000000e+02 2.000000e+01 2.000000e+01 1.633310e-01 1.024306e-02 1.024306e-02
+1.400000e+02 2.000000e+01 2.000000e+01 1.252040e-01 8.230036e-03 8.230036e-03
+1.800000e+02 2.000000e+01 2.000000e+01 8.120690e-02 5.707922e-03 5.707922e-03
+2.200000e+02 2.000000e+01 2.000000e+01 5.046180e-02 3.350046e-03 3.350046e-03
+2.600000e+02 2.000000e+01 2.000000e+01 2.932670e-02 2.179675e-03 2.179675e-03
+3.050000e+02 2.500000e+01 2.500000e+01 1.619600e-02 1.216098e-03 1.216098e-03
+3.550000e+02 2.500000e+01 2.500000e+01 8.061600e-03 7.072141e-04 7.072141e-04
+4.150000e+02 3.500000e+01 3.500000e+01 3.495100e-03 3.728949e-04 3.728949e-04
+6.250000e+02 1.750000e+02 1.750000e+02 5.067700e-04 8.055060e-05 8.055060e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d35-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d35-x01-y01
+Title=Table 35
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 1.466640e-02 1.377003e-03 1.377003e-03
+6.000000e+01 2.000000e+01 2.000000e+01 3.281460e-02 2.395092e-03 2.395092e-03
+1.000000e+02 2.000000e+01 2.000000e+01 3.621120e-02 2.861808e-03 2.861808e-03
+1.400000e+02 2.000000e+01 2.000000e+01 2.886940e-02 2.637128e-03 2.637128e-03
+1.800000e+02 2.000000e+01 2.000000e+01 1.869890e-02 1.601419e-03 1.601419e-03
+2.200000e+02 2.000000e+01 2.000000e+01 1.126340e-02 9.411838e-04 9.411838e-04
+2.600000e+02 2.000000e+01 2.000000e+01 6.796000e-03 6.847325e-04 6.847325e-04
+3.050000e+02 2.500000e+01 2.500000e+01 3.842700e-03 4.634293e-04 4.634293e-04
+3.550000e+02 2.500000e+01 2.500000e+01 1.874730e-03 2.972860e-04 2.972860e-04
+4.150000e+02 3.500000e+01 3.500000e+01 8.128400e-04 1.609354e-04 1.609354e-04
+6.250000e+02 1.750000e+02 1.750000e+02 7.951900e-05 2.249884e-05 2.249884e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d36-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d36-x01-y01
+Title=Table 36
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 4.688291e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 8.580428e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 9.295499e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 6.073711e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 4.195947e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.232421e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.356329e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 8.740851e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 4.628720e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.469257e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 2.657320e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 3.756123e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 7.790243e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 7.495627e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 5.392114e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 3.083418e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 1.612146e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 1.119373e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 7.083284e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 2.445060e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 1.786145e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 1.426609e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 1.745935e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 4.843009e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 4.595675e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 3.754916e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 2.115321e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 1.233313e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 6.355490e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 4.369092e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 1.352128e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 6.755300e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 1.956458e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 4.936957e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 8.657028e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 1.048634e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 7.459422e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 4.312009e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 2.314937e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 1.696485e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 7.274201e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 2.765669e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 2.431477e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 1.788917e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 8.580428e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.436972e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.104680e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.601749e-04 0.000000e+00 0.000000e+00
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+4.400000e+01 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 6.438884e-09 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 6.383946e-09 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 4.074445e-09 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 3.322267e-10 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 5.062220e-10 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d37-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d37-x01-y01
+Title=Table 37
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.255470e-01 7.010327e-03 7.010327e-03
+3.000000e-01 1.000000e-01 1.000000e-01 1.218404e-01 6.519737e-03 6.519737e-03
+5.000000e-01 1.000000e-01 1.000000e-01 1.163347e-01 6.375253e-03 6.375253e-03
+7.000000e-01 1.000000e-01 1.000000e-01 1.090326e-01 6.645618e-03 6.645618e-03
+9.000000e-01 1.000000e-01 1.000000e-01 9.324790e-02 5.413319e-03 5.413319e-03
+1.100000e+00 1.000000e-01 1.000000e-01 7.333310e-02 4.485146e-03 4.485146e-03
+1.300000e+00 1.000000e-01 1.000000e-01 5.516170e-02 3.487545e-03 3.487545e-03
+1.500000e+00 1.000000e-01 1.000000e-01 3.446790e-02 2.377585e-03 2.377585e-03
+2.000000e+00 4.000000e-01 4.000000e-01 6.047800e-03 6.616708e-04 6.616708e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d38-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d38-x01-y01
+Title=Table 38
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.448010e-01 8.297716e-03 8.297716e-03
+3.000000e-01 1.000000e-01 1.000000e-01 1.377862e-01 7.879879e-03 7.879879e-03
+5.000000e-01 1.000000e-01 1.000000e-01 1.250936e-01 7.424779e-03 7.424779e-03
+7.000000e-01 1.000000e-01 1.000000e-01 1.073617e-01 6.826187e-03 6.826187e-03
+9.000000e-01 1.000000e-01 1.000000e-01 8.659300e-02 5.589958e-03 5.589958e-03
+1.100000e+00 1.000000e-01 1.000000e-01 6.246260e-02 4.537171e-03 4.537171e-03
+1.300000e+00 1.000000e-01 1.000000e-01 4.147540e-02 3.151373e-03 3.151373e-03
+1.500000e+00 1.000000e-01 1.000000e-01 2.257240e-02 2.122273e-03 2.122273e-03
+2.000000e+00 4.000000e-01 4.000000e-01 3.028500e-03 3.873229e-04 3.873229e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d39-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d39-x01-y01
+Title=Table 39
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 6.475790e-02 3.757882e-03 3.757882e-03
+3.000000e-01 1.000000e-01 1.000000e-01 5.981580e-02 3.453397e-03 3.453397e-03
+5.000000e-01 1.000000e-01 1.000000e-01 5.143190e-02 3.645967e-03 3.645967e-03
+7.000000e-01 1.000000e-01 1.000000e-01 4.156740e-02 3.107542e-03 3.107542e-03
+9.000000e-01 1.000000e-01 1.000000e-01 3.143160e-02 2.127979e-03 2.127979e-03
+1.100000e+00 1.000000e-01 1.000000e-01 1.977420e-02 1.509664e-03 1.509664e-03
+1.300000e+00 1.000000e-01 1.000000e-01 1.119400e-02 1.189116e-03 1.189116e-03
+1.500000e+00 1.000000e-01 1.000000e-01 5.411600e-03 5.243556e-04 5.243556e-04
+2.000000e+00 4.000000e-01 4.000000e-01 6.855400e-04 8.761844e-05 8.761844e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d40-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d40-x01-y01
+Title=Table 40
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 6.809600e-03 4.578632e-04 4.578632e-04
+3.000000e-01 1.000000e-01 1.000000e-01 6.391500e-03 4.697097e-04 4.697097e-04
+5.000000e-01 1.000000e-01 1.000000e-01 5.217510e-03 3.726823e-04 3.726823e-04
+7.000000e-01 1.000000e-01 1.000000e-01 3.804230e-03 3.008415e-04 3.008415e-04
+9.000000e-01 1.000000e-01 1.000000e-01 2.353510e-03 1.934498e-04 1.934498e-04
+1.100000e+00 1.000000e-01 1.000000e-01 1.435030e-03 1.301667e-04 1.301667e-04
+1.300000e+00 1.000000e-01 1.000000e-01 7.029800e-04 9.866099e-05 9.866099e-05
+1.900000e+00 5.000000e-01 5.000000e-01 6.203500e-05 1.252172e-05 1.252172e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d41-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d41-x01-y01
+Title=Table 41
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 4.914921e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 4.120557e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.589236e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.062710e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.905143e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.672182e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.822010e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 9.423105e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.168120e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 4.941117e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 4.297328e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 4.076814e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 3.373967e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 2.818852e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 1.938567e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 1.154108e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 5.710159e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 1.050661e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 1.932878e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 1.572844e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 1.870607e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 9.717323e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 7.538287e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 4.833936e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 3.646148e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 1.123053e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 1.682582e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 1.581414e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 1.645103e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 1.538025e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 8.759772e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 6.388314e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 3.561091e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 1.252663e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 1.222054e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 4.120557e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 4.250692e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.786274e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.278984e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.894957e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.418403e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.584198e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 9.302294e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.794473e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 4.494516e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 4.307873e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 3.828507e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 3.348280e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 2.644685e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 1.869055e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 1.177376e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 5.926813e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 9.887346e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 1.801676e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 1.615874e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 1.470654e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 1.183516e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 7.856043e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 5.093509e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 3.034621e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 1.476490e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 1.748272e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 1.600961e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 1.817187e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 1.434966e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 8.288821e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 6.886868e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 4.087229e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 1.522748e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 1.948787e-08 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 3.589236e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.786274e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 4.064337e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.489664e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.845508e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.976961e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.615618e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.031884e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.898811e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 4.190467e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 4.157712e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 3.708891e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 3.232474e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 2.547434e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 1.806503e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 1.137334e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 7.693205e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 8.485513e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 1.743392e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 1.572840e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 1.196600e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 1.263965e-05 0.000000e+00 0.000000e+00
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+3.400000e+01 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -8.695439e-12 0.000000e+00 0.000000e+00
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+3.400000e+01 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 1.440197e-08 0.000000e+00 0.000000e+00
+3.400000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 3.483826e-09 0.000000e+00 0.000000e+00
+3.400000e+01 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 6.669963e-09 0.000000e+00 0.000000e+00
+3.400000e+01 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 9.734342e-09 0.000000e+00 0.000000e+00
+3.400000e+01 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 1.874506e-10 0.000000e+00 0.000000e+00
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+3.500000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.948787e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.554362e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.542158e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.098384e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.119322e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.356052e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.303162e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.511565e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.849053e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 3.420833e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 3.194998e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 3.373052e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 2.461254e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 1.935153e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 1.224557e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 9.052875e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 1.732111e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 1.258551e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 1.508109e-08 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 3.667232e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 8.078852e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 6.951202e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 9.226710e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 1.712493e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 2.119881e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -2.328665e-11 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 2.758784e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 2.979795e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 2.082780e-09 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 7.948743e-10 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 9.345959e-10 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 5.632692e-10 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 1.874506e-10 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 1.567897e-10 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d42-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d42-x01-y01
+Title=Table 42
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 7.372140e-04 6.928461e-05 6.928461e-05
+3.950000e+02 3.500000e+01 3.500000e+01 1.424244e-03 8.400522e-05 8.400522e-05
+4.650000e+02 3.500000e+01 3.500000e+01 7.938580e-04 5.456925e-05 5.456925e-05
+5.400000e+02 4.000000e+01 4.000000e+01 4.481030e-04 2.908755e-05 2.908755e-05
+6.300000e+02 5.000000e+01 5.000000e+01 2.416780e-04 1.741302e-05 1.741302e-05
+7.400000e+02 6.000000e+01 6.000000e+01 1.141260e-04 9.265480e-06 9.265480e-06
+9.000000e+02 1.000000e+02 1.000000e+02 4.232600e-05 4.282004e-06 4.282004e-06
+1.500000e+03 5.000000e+02 5.000000e+02 4.139900e-06 7.617689e-07 7.617689e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d43-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d43-x01-y01
+Title=Table 43
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 8.054300e-05 8.562721e-06 8.562721e-06
+3.950000e+02 3.500000e+01 3.500000e+01 7.570170e-04 4.457923e-05 4.457923e-05
+4.650000e+02 3.500000e+01 3.500000e+01 1.194862e-03 7.990585e-05 7.990585e-05
+5.400000e+02 4.000000e+01 4.000000e+01 8.323170e-04 5.308854e-05 5.308854e-05
+6.300000e+02 5.000000e+01 5.000000e+01 4.507770e-04 2.853486e-05 2.853486e-05
+7.400000e+02 6.000000e+01 6.000000e+01 2.262440e-04 1.652345e-05 1.652345e-05
+9.000000e+02 1.000000e+02 1.000000e+02 8.949200e-05 6.609119e-06 6.609119e-06
+1.500000e+03 5.000000e+02 5.000000e+02 8.659600e-06 1.253601e-06 1.253601e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d44-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d44-x01-y01
+Title=Table 44
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.650000e+02 6.500000e+01 6.500000e+01 1.943700e-05 4.619108e-06 4.619108e-06
+4.650000e+02 3.500000e+01 3.500000e+01 1.235070e-04 1.015337e-05 1.015337e-05
+5.400000e+02 4.000000e+01 4.000000e+01 3.249590e-04 2.008171e-05 2.008171e-05
+6.300000e+02 5.000000e+01 5.000000e+01 3.199020e-04 2.276877e-05 2.276877e-05
+7.400000e+02 6.000000e+01 6.000000e+01 1.786810e-04 1.198870e-05 1.198870e-05
+9.000000e+02 1.000000e+02 1.000000e+02 7.512300e-05 5.826202e-06 5.826202e-06
+1.100000e+03 1.000000e+02 1.000000e+02 2.601150e-05 2.843052e-06 2.843052e-06
+1.600000e+03 4.000000e+02 4.000000e+02 3.788700e-06 6.640336e-07 6.640336e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d45-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d45-x01-y01
+Title=Table 45
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.650000e+02 6.500000e+01 6.500000e+01 4.192900e-07 1.511010e-07 1.511010e-07
+4.650000e+02 3.500000e+01 3.500000e+01 2.830700e-06 5.068873e-07 5.068873e-07
+5.400000e+02 4.000000e+01 4.000000e+01 5.181100e-06 8.636701e-07 8.636701e-07
+6.300000e+02 5.000000e+01 5.000000e+01 1.042530e-05 8.873355e-07 8.873355e-07
+7.400000e+02 6.000000e+01 6.000000e+01 1.698590e-05 1.166724e-06 1.166724e-06
+9.000000e+02 1.000000e+02 1.000000e+02 1.260860e-05 8.885523e-07 8.885523e-07
+1.100000e+03 1.000000e+02 1.000000e+02 6.010400e-06 5.089264e-07 5.089264e-07
+1.600000e+03 4.000000e+02 4.000000e+02 1.422440e-06 1.309315e-07 1.309315e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d46-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d46-x01-y01
+Title=Table 46
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 4.800320e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.293040e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -4.491041e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.204554e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.430876e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -1.529564e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -3.182527e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 7.224385e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.219089e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 4.832614e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -9.399721e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -2.070111e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 1.793717e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 2.354830e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -2.410593e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -3.053692e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -2.063592e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 5.009899e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 2.705104e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -3.513285e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 4.498715e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 4.598343e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -1.391602e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -6.402123e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -5.892900e-13 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 7.104469e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 1.169034e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -1.917931e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -1.399549e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 5.501620e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 -8.389650e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 -8.340547e-13 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 5.293040e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 7.056794e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 4.049001e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.775701e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 7.990882e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.966047e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.253691e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.020043e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.881122e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 3.002825e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 5.542924e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 3.443798e-09 0.000000e+00 0.000000e+00
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+3.100000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 4.279444e-13 0.000000e+00 0.000000e+00
+3.100000e+01 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 2.140673e-13 0.000000e+00 0.000000e+00
+3.100000e+01 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 2.589700e-13 0.000000e+00 0.000000e+00
+3.100000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 2.884225e-14 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -8.340547e-13 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.668339e-12 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 4.163102e-12 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.798705e-12 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 4.141316e-13 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.630403e-13 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.889973e-13 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.132204e-14 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.159362e-13 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.422909e-12 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 5.484175e-12 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 3.287065e-12 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 2.108085e-12 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 1.477284e-12 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 4.811922e-13 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 7.003528e-14 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 2.626105e-13 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 3.628384e-13 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 9.711563e-13 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 2.077894e-12 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 8.597211e-13 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 3.561003e-13 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 9.024328e-14 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 8.255887e-15 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 2.964738e-15 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 1.758734e-14 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 4.251278e-14 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 4.343144e-14 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 7.757224e-14 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 6.614424e-14 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 2.884225e-14 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 1.714437e-14 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d47-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d47-x01-y01
+Title=Table 47
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 9.131350e-01 5.259872e-02 5.259872e-02
+6.250000e+01 1.250000e+01 1.250000e+01 7.476300e-01 4.037424e-02 4.037424e-02
+8.750000e+01 1.250000e+01 1.250000e+01 4.662560e-01 2.646623e-02 2.646623e-02
+1.250000e+02 2.500000e+01 2.500000e+01 2.062300e-01 1.108276e-02 1.108276e-02
+1.750000e+02 2.500000e+01 2.500000e+01 6.428130e-02 3.696816e-03 3.696816e-03
+2.750000e+02 7.500000e+01 7.500000e+01 9.533500e-03 6.083950e-04 6.083950e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d48-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d48-x01-y01
+Title=Table 48
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 8.584430e-01 4.515292e-02 4.515292e-02
+6.250000e+01 1.250000e+01 1.250000e+01 7.713180e-01 4.045032e-02 4.045032e-02
+8.750000e+01 1.250000e+01 1.250000e+01 4.913650e-01 2.891095e-02 2.891095e-02
+1.250000e+02 2.500000e+01 2.500000e+01 2.105940e-01 1.290910e-02 1.290910e-02
+1.750000e+02 2.500000e+01 2.500000e+01 6.397840e-02 4.147488e-03 4.147488e-03
+2.750000e+02 7.500000e+01 7.500000e+01 1.103390e-02 7.654413e-04 7.654413e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d49-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d49-x01-y01
+Title=Table 49
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 8.606180e-01 4.242360e-02 4.242360e-02
+6.250000e+01 1.250000e+01 1.250000e+01 8.643210e-01 4.700243e-02 4.700243e-02
+8.750000e+01 1.250000e+01 1.250000e+01 5.059740e-01 2.893022e-02 2.893022e-02
+1.250000e+02 2.500000e+01 2.500000e+01 2.132420e-01 1.199677e-02 1.199677e-02
+1.750000e+02 2.500000e+01 2.500000e+01 6.625670e-02 4.061829e-03 4.061829e-03
+2.750000e+02 7.500000e+01 7.500000e+01 1.269930e-02 8.690262e-04 8.690262e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d50-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d50-x01-y01
+Title=Table 50
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 1.729702e+00 9.026959e-02 9.026959e-02
+6.250000e+01 1.250000e+01 1.250000e+01 4.431480e-01 2.773892e-02 2.773892e-02
+8.750000e+01 1.250000e+01 1.250000e+01 1.222960e-01 7.818599e-03 7.818599e-03
+1.750000e+02 7.500000e+01 7.500000e+01 1.018980e-02 7.314035e-04 7.314035e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d51-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d51-x01-y01
+Title=Table 51
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 4.100370e-01 2.942908e-02 2.942908e-02
+6.250000e+01 1.250000e+01 1.250000e+01 2.525980e-01 1.880023e-02 1.880023e-02
+8.750000e+01 1.250000e+01 1.250000e+01 1.738540e-01 1.235300e-02 1.235300e-02
+1.125000e+02 1.250000e+01 1.250000e+01 1.207040e-01 8.962751e-03 8.962751e-03
+1.375000e+02 1.250000e+01 1.250000e+01 8.401080e-02 5.670711e-03 5.670711e-03
+1.625000e+02 1.250000e+01 1.250000e+01 6.129590e-02 4.127049e-03 4.127049e-03
+1.875000e+02 1.250000e+01 1.250000e+01 4.315370e-02 2.952195e-03 2.952195e-03
+2.250000e+02 2.500000e+01 2.500000e+01 2.860230e-02 1.945640e-03 1.945640e-03
+2.850000e+02 3.500000e+01 3.500000e+01 1.450430e-02 1.029395e-03 1.029395e-03
+4.100000e+02 9.000000e+01 9.000000e+01 4.714710e-03 3.009715e-04 3.009715e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d52-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d52-x01-y01
+Title=Table 52
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 2.460040e-01 2.251487e-02 2.251487e-02
+6.250000e+01 1.250000e+01 1.250000e+01 1.026320e-01 1.077970e-02 1.077970e-02
+8.750000e+01 1.250000e+01 1.250000e+01 5.009080e-02 5.235434e-03 5.235434e-03
+1.125000e+02 1.250000e+01 1.250000e+01 2.580260e-02 2.916860e-03 2.916860e-03
+1.375000e+02 1.250000e+01 1.250000e+01 1.375810e-02 1.471432e-03 1.471432e-03
+1.650000e+02 1.500000e+01 1.500000e+01 7.538600e-03 7.828341e-04 7.828341e-04
+2.650000e+02 8.500000e+01 8.500000e+01 1.654910e-03 1.818322e-04 1.818322e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d53-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d53-x01-y01
+Title=Table 53
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 9.738500e-02 1.117477e-02 1.117477e-02
+6.250000e+01 1.250000e+01 1.250000e+01 2.901700e-02 4.116974e-03 4.116974e-03
+8.750000e+01 1.250000e+01 1.250000e+01 9.959700e-03 1.575999e-03 1.575999e-03
+1.750000e+02 7.500000e+01 7.500000e+01 1.354900e-03 2.005415e-04 2.005415e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d54-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d54-x01-y01
+Title=Table 54
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 3.074240e-02 4.679733e-03 4.679733e-03
+6.250000e+01 1.250000e+01 1.250000e+01 6.723900e-03 1.254291e-03 1.254291e-03
+8.750000e+01 1.250000e+01 1.250000e+01 1.753500e-03 3.823474e-04 3.823474e-04
+1.500000e+02 5.000000e+01 5.000000e+01 2.639100e-04 6.380120e-05 6.380120e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d55-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d55-x01-y01
+Title=Table 55
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.766622e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.902757e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.185632e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.681028e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.293338e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.811171e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.153943e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.895805e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.295277e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 5.450395e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.631403e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 2.927297e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 1.865344e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 2.235228e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 1.306968e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 5.442509e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 1.593558e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 2.627413e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 4.351939e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 1.196424e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 3.169271e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 2.454731e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 1.234444e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 7.861289e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 5.314266e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 3.937534e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 2.533928e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 1.796070e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 1.261578e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 8.222300e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 3.932172e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 1.185801e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 9.143723e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 3.982141e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 1.984364e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 1.021457e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 4.611311e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 2.432471e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 5.144673e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 4.163651e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 1.342585e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 4.498740e-05 0.000000e+00 0.000000e+00
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+4.700000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 6.079950e-08 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 4.276732e-08 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 1.084782e-08 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 8.645886e-09 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 6.028414e-07 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 2.698721e-07 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 1.185173e-07 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 8.230492e-08 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 4.181791e-08 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 1.655705e-08 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 5.596319e-09 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 3.155449e-07 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 8.688938e-08 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 4.068012e-08 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 6.913979e-09 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 1.418859e-07 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.500000e+01 0.000000e+00 0.000000e+00 3.083478e-08 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.600000e+01 0.000000e+00 0.000000e+00 1.327745e-08 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.700000e+01 0.000000e+00 0.000000e+00 4.070451e-09 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d56-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d56-x01-y01
+Title=Table 56
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 1.250000e-01 1.250000e-01 4.242510e+01 2.267077e+00 2.267077e+00
+3.750000e-01 1.250000e-01 1.250000e-01 4.156850e+01 2.278656e+00 2.278656e+00
+6.250000e-01 1.250000e-01 1.250000e-01 3.962820e+01 2.105029e+00 2.105029e+00
+8.750000e-01 1.250000e-01 1.250000e-01 3.589990e+01 1.950639e+00 1.950639e+00
+1.125000e+00 1.250000e-01 1.250000e-01 3.155340e+01 1.668777e+00 1.668777e+00
+1.375000e+00 1.250000e-01 1.250000e-01 2.574580e+01 1.438318e+00 1.438318e+00
+1.625000e+00 1.250000e-01 1.250000e-01 2.094130e+01 1.184498e+00 1.184498e+00
+1.875000e+00 1.250000e-01 1.250000e-01 1.669320e+01 9.760010e-01 9.760010e-01
+2.125000e+00 1.250000e-01 1.250000e-01 1.237240e+01 7.453687e-01 7.453687e-01
+2.375000e+00 1.250000e-01 1.250000e-01 5.141610e+00 3.512712e-01 3.512712e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d57-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d57-x01-y01
+Title=Table 57
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 1.250000e-01 1.250000e-01 4.492020e+01 2.317525e+00 2.317525e+00
+3.750000e-01 1.250000e-01 1.250000e-01 4.361580e+01 2.261063e+00 2.261063e+00
+6.250000e-01 1.250000e-01 1.250000e-01 4.056930e+01 2.128194e+00 2.128194e+00
+8.750000e-01 1.250000e-01 1.250000e-01 3.684780e+01 1.918221e+00 1.918221e+00
+1.125000e+00 1.250000e-01 1.250000e-01 3.079180e+01 1.709887e+00 1.709887e+00
+1.375000e+00 1.250000e-01 1.250000e-01 2.476940e+01 1.430258e+00 1.430258e+00
+1.625000e+00 1.250000e-01 1.250000e-01 1.957290e+01 1.157119e+00 1.157119e+00
+1.875000e+00 1.250000e-01 1.250000e-01 1.534000e+01 1.029182e+00 1.029182e+00
+2.125000e+00 1.250000e-01 1.250000e-01 1.092620e+01 7.439780e-01 7.439780e-01
+2.375000e+00 1.250000e-01 1.250000e-01 4.536330e+00 3.500157e-01 3.500157e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d58-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d58-x01-y01
+Title=Table 58
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 1.250000e-01 1.250000e-01 4.312200e+01 2.270008e+00 2.270008e+00
+3.750000e-01 1.250000e-01 1.250000e-01 4.196690e+01 2.276468e+00 2.276468e+00
+6.250000e-01 1.250000e-01 1.250000e-01 3.905070e+01 2.022651e+00 2.022651e+00
+8.750000e-01 1.250000e-01 1.250000e-01 3.565240e+01 1.875969e+00 1.875969e+00
+1.125000e+00 1.250000e-01 1.250000e-01 3.200460e+01 1.807516e+00 1.807516e+00
+1.375000e+00 1.250000e-01 1.250000e-01 2.550960e+01 1.399698e+00 1.399698e+00
+1.625000e+00 1.250000e-01 1.250000e-01 2.087490e+01 1.213478e+00 1.213478e+00
+1.875000e+00 1.250000e-01 1.250000e-01 1.655280e+01 1.008833e+00 1.008833e+00
+2.125000e+00 1.250000e-01 1.250000e-01 1.251780e+01 7.753118e-01 7.753118e-01
+2.375000e+00 1.250000e-01 1.250000e-01 5.656190e+00 3.881399e-01 3.881399e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d59-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d59-x01-y01
+Title=Table 59
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 1.250000e-01 1.250000e-01 4.055770e+01 2.104971e+00 2.104971e+00
+3.750000e-01 1.250000e-01 1.250000e-01 3.935000e+01 2.051452e+00 2.051452e+00
+6.250000e-01 1.250000e-01 1.250000e-01 3.709440e+01 1.917954e+00 1.917954e+00
+8.750000e-01 1.250000e-01 1.250000e-01 3.471950e+01 1.812188e+00 1.812188e+00
+1.125000e+00 1.250000e-01 1.250000e-01 3.142500e+01 1.657959e+00 1.657959e+00
+1.375000e+00 1.250000e-01 1.250000e-01 2.660730e+01 1.439488e+00 1.439488e+00
+1.625000e+00 1.250000e-01 1.250000e-01 2.228870e+01 1.325151e+00 1.325151e+00
+1.875000e+00 1.250000e-01 1.250000e-01 1.863920e+01 1.116189e+00 1.116189e+00
+2.125000e+00 1.250000e-01 1.250000e-01 1.500270e+01 9.526310e-01 9.526310e-01
+2.375000e+00 1.250000e-01 1.250000e-01 7.069000e+00 5.042663e-01 5.042663e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d60-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d60-x01-y01
+Title=Table 60
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 1.250000e-01 1.250000e-01 1.376290e+01 9.522741e-01 9.522741e-01
+3.750000e-01 1.250000e-01 1.250000e-01 1.371720e+01 9.712686e-01 9.712686e-01
+6.250000e-01 1.250000e-01 1.250000e-01 1.357480e+01 8.818216e-01 8.818216e-01
+8.750000e-01 1.250000e-01 1.250000e-01 1.373120e+01 8.600444e-01 8.600444e-01
+1.125000e+00 1.250000e-01 1.250000e-01 1.310640e+01 9.684437e-01 9.684437e-01
+1.375000e+00 1.250000e-01 1.250000e-01 1.244780e+01 8.501729e-01 8.501729e-01
+1.625000e+00 1.250000e-01 1.250000e-01 1.183829e+01 8.343406e-01 8.343406e-01
+1.875000e+00 1.250000e-01 1.250000e-01 1.153756e+01 8.702844e-01 8.702844e-01
+2.125000e+00 1.250000e-01 1.250000e-01 1.033005e+01 7.678187e-01 7.678187e-01
+2.375000e+00 1.250000e-01 1.250000e-01 5.565530e+00 4.127053e-01 4.127053e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d61-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d61-x01-y01
+Title=Table 61
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 1.250000e-01 1.250000e-01 4.750290e+00 5.223632e-01 5.223632e-01
+3.750000e-01 1.250000e-01 1.250000e-01 4.896640e+00 4.682550e-01 4.682550e-01
+6.250000e-01 1.250000e-01 1.250000e-01 4.623080e+00 5.144022e-01 5.144022e-01
+8.750000e-01 1.250000e-01 1.250000e-01 4.639680e+00 4.945052e-01 4.945052e-01
+1.125000e+00 1.250000e-01 1.250000e-01 4.579500e+00 4.677254e-01 4.677254e-01
+1.375000e+00 1.250000e-01 1.250000e-01 4.278330e+00 3.949024e-01 3.949024e-01
+1.625000e+00 1.250000e-01 1.250000e-01 4.147310e+00 3.897085e-01 3.897085e-01
+1.875000e+00 1.250000e-01 1.250000e-01 3.915510e+00 3.775543e-01 3.775543e-01
+2.125000e+00 1.250000e-01 1.250000e-01 3.520570e+00 3.235314e-01 3.235314e-01
+2.375000e+00 1.250000e-01 1.250000e-01 1.908550e+00 1.814502e-01 1.814502e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d62-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d62-x01-y01
+Title=Table 62
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-01 2.500000e-01 2.500000e-01 1.433800e+00 1.923395e-01 1.923395e-01
+7.500000e-01 2.500000e-01 2.500000e-01 1.464450e+00 1.636354e-01 1.636354e-01
+1.250000e+00 2.500000e-01 2.500000e-01 1.382770e+00 1.613270e-01 1.613270e-01
+1.750000e+00 2.500000e-01 2.500000e-01 1.211270e+00 1.423768e-01 1.423768e-01
+2.250000e+00 2.500000e-01 2.500000e-01 8.084800e-01 9.881290e-02 9.881290e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d63-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d63-x01-y01
+Title=Table 63
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-01 2.500000e-01 2.500000e-01 3.987500e-01 6.784153e-02 6.784153e-02
+7.500000e-01 2.500000e-01 2.500000e-01 4.078100e-01 6.068433e-02 6.068433e-02
+1.250000e+00 2.500000e-01 2.500000e-01 4.018800e-01 5.360246e-02 5.360246e-02
+1.750000e+00 2.500000e-01 2.500000e-01 3.201420e-01 5.780984e-02 5.780984e-02
+2.250000e+00 2.500000e-01 2.500000e-01 2.157110e-01 4.051297e-02 4.051297e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d64-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d64-x01-y01
+Title=Table 64
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 5.139754e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.058355e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 4.443722e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.215058e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.620712e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.023971e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.531022e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.054930e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.488753e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 6.875926e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 5.037531e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 4.893066e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 4.677603e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 4.168605e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 3.738218e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 3.085480e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 2.478775e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 2.076183e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 1.424133e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 6.337464e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 4.886127e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 4.914981e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 4.330258e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 4.095142e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 3.473923e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 2.978807e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 2.461029e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 2.019670e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 1.406148e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 5.998953e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 4.378332e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 4.447279e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 4.138478e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 3.831611e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 3.536849e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 3.085556e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 2.732600e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 2.310788e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 1.865854e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 9.221018e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 1.928299e+00 0.000000e+00 0.000000e+00
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+7.000000e+01 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 3.016008e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 2.757198e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 2.795195e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 2.663553e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 1.376999e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 2.796621e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 2.605888e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 2.359419e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 1.995580e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 4.500000e+01 0.000000e+00 0.000000e+00 3.027275e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 4.600000e+01 0.000000e+00 0.000000e+00 2.311952e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 4.700000e+01 0.000000e+00 0.000000e+00 2.415999e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 4.800000e+01 0.000000e+00 0.000000e+00 2.172998e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 4.900000e+01 0.000000e+00 0.000000e+00 2.397779e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.000000e+01 0.000000e+00 0.000000e+00 1.083321e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.100000e+01 0.000000e+00 0.000000e+00 1.714191e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.200000e+01 0.000000e+00 0.000000e+00 1.402352e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.300000e+01 0.000000e+00 0.000000e+00 1.690901e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.400000e+01 0.000000e+00 0.000000e+00 1.713684e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.500000e+01 0.000000e+00 0.000000e+00 1.613534e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.600000e+01 0.000000e+00 0.000000e+00 1.179419e-02 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.700000e+01 0.000000e+00 0.000000e+00 9.330762e-03 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.800000e+01 0.000000e+00 0.000000e+00 7.741084e-03 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.900000e+01 0.000000e+00 0.000000e+00 9.560789e-03 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.000000e+01 0.000000e+00 0.000000e+00 4.319740e-03 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.100000e+01 0.000000e+00 0.000000e+00 6.883358e-03 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.200000e+01 0.000000e+00 0.000000e+00 4.693813e-03 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.300000e+01 0.000000e+00 0.000000e+00 5.494485e-03 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.400000e+01 0.000000e+00 0.000000e+00 4.545995e-03 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.500000e+01 0.000000e+00 0.000000e+00 2.850838e-03 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.600000e+01 0.000000e+00 0.000000e+00 2.410813e-03 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.700000e+01 0.000000e+00 0.000000e+00 1.753146e-03 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.800000e+01 0.000000e+00 0.000000e+00 1.485415e-03 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.900000e+01 0.000000e+00 0.000000e+00 2.118947e-03 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 7.000000e+01 0.000000e+00 0.000000e+00 1.641256e-03 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d65-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d65-x01-y01
+Title=Table 65
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-01 1.000000e-01 1.000000e-01 1.640440e+01 1.076329e+00 1.076329e+00
+7.000000e-01 1.000000e-01 1.000000e-01 2.727350e+01 1.618236e+00 1.618236e+00
+9.000000e-01 1.000000e-01 1.000000e-01 2.884730e+01 1.605546e+00 1.605546e+00
+1.100000e+00 1.000000e-01 1.000000e-01 3.137650e+01 1.752142e+00 1.752142e+00
+1.300000e+00 1.000000e-01 1.000000e-01 3.282750e+01 1.818244e+00 1.818244e+00
+1.500000e+00 1.000000e-01 1.000000e-01 3.255160e+01 1.793280e+00 1.793280e+00
+1.800000e+00 2.000000e-01 2.000000e-01 3.132630e+01 1.737754e+00 1.737754e+00
+2.250000e+00 2.500000e-01 2.500000e-01 2.562920e+01 1.363681e+00 1.363681e+00
+3.500000e+00 1.000000e+00 1.000000e+00 4.451080e+00 2.339833e-01 2.339833e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d66-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d66-x01-y01
+Title=Table 66
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-01 1.000000e-01 1.000000e-01 2.183920e+01 1.284698e+00 1.284698e+00
+7.000000e-01 1.000000e-01 1.000000e-01 3.654970e+01 1.977849e+00 1.977849e+00
+9.000000e-01 1.000000e-01 1.000000e-01 4.175190e+01 2.190322e+00 2.190322e+00
+1.100000e+00 1.000000e-01 1.000000e-01 4.611160e+01 2.419622e+00 2.419622e+00
+1.300000e+00 1.000000e-01 1.000000e-01 4.579600e+01 2.496691e+00 2.496691e+00
+1.500000e+00 1.000000e-01 1.000000e-01 4.164950e+01 2.258564e+00 2.258564e+00
+1.800000e+00 2.000000e-01 2.000000e-01 3.084340e+01 1.709714e+00 1.709714e+00
+2.250000e+00 2.500000e-01 2.500000e-01 1.433820e+01 8.490925e-01 8.490925e-01
+3.500000e+00 1.000000e+00 1.000000e+00 9.797700e-01 7.650102e-02 7.650102e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d67-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d67-x01-y01
+Title=Table 67
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-01 1.000000e-01 1.000000e-01 2.336800e+01 1.242615e+00 1.242615e+00
+7.000000e-01 1.000000e-01 1.000000e-01 3.934950e+01 1.951770e+00 1.951770e+00
+9.000000e-01 1.000000e-01 1.000000e-01 4.459640e+01 2.284013e+00 2.284013e+00
+1.100000e+00 1.000000e-01 1.000000e-01 4.879300e+01 2.549655e+00 2.549655e+00
+1.300000e+00 1.000000e-01 1.000000e-01 4.656340e+01 2.519057e+00 2.519057e+00
+1.500000e+00 1.000000e-01 1.000000e-01 4.013760e+01 2.268184e+00 2.268184e+00
+1.800000e+00 2.000000e-01 2.000000e-01 2.735210e+01 1.540911e+00 1.540911e+00
+2.250000e+00 2.500000e-01 2.500000e-01 1.255165e+01 7.194770e-01 7.194770e-01
+3.500000e+00 1.000000e+00 1.000000e+00 1.330290e+00 9.474510e-02 9.474510e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d68-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d68-x01-y01
+Title=Table 68
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-01 1.000000e-01 1.000000e-01 2.553330e+01 1.410949e+00 1.410949e+00
+7.000000e-01 1.000000e-01 1.000000e-01 4.133310e+01 2.119683e+00 2.119683e+00
+9.000000e-01 1.000000e-01 1.000000e-01 4.475200e+01 2.244227e+00 2.244227e+00
+1.100000e+00 1.000000e-01 1.000000e-01 4.820660e+01 2.569218e+00 2.569218e+00
+1.300000e+00 1.000000e-01 1.000000e-01 4.628180e+01 2.424193e+00 2.424193e+00
+1.500000e+00 1.000000e-01 1.000000e-01 3.987130e+01 2.205852e+00 2.205852e+00
+1.800000e+00 2.000000e-01 2.000000e-01 2.651610e+01 1.511799e+00 1.511799e+00
+2.250000e+00 2.500000e-01 2.500000e-01 1.188653e+01 7.046365e-01 7.046365e-01
+3.500000e+00 1.000000e+00 1.000000e+00 1.250120e+00 8.306909e-02 8.306909e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d69-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d69-x01-y01
+Title=Table 69
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-01 1.000000e-01 1.000000e-01 1.391590e+01 9.934754e-01 9.934754e-01
+7.000000e-01 1.000000e-01 1.000000e-01 1.796420e+01 1.273898e+00 1.273898e+00
+9.000000e-01 1.000000e-01 1.000000e-01 1.613520e+01 1.120110e+00 1.120110e+00
+1.100000e+00 1.000000e-01 1.000000e-01 1.554770e+01 1.125593e+00 1.125593e+00
+1.300000e+00 1.000000e-01 1.000000e-01 1.453400e+01 1.069181e+00 1.069181e+00
+1.500000e+00 1.000000e-01 1.000000e-01 1.371520e+01 9.617432e-01 9.617432e-01
+1.800000e+00 2.000000e-01 2.000000e-01 1.146450e+01 7.854045e-01 7.854045e-01
+2.250000e+00 2.500000e-01 2.500000e-01 8.106730e+00 5.266445e-01 5.266445e-01
+3.500000e+00 1.000000e+00 1.000000e+00 1.458820e+00 9.807472e-02 9.807472e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d70-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d70-x01-y01
+Title=Table 70
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-01 1.000000e-01 1.000000e-01 5.243890e+00 4.992638e-01 4.992638e-01
+7.000000e-01 1.000000e-01 1.000000e-01 6.780020e+00 6.492713e-01 6.492713e-01
+9.000000e-01 1.000000e-01 1.000000e-01 5.874100e+00 5.352672e-01 5.352672e-01
+1.100000e+00 1.000000e-01 1.000000e-01 5.497370e+00 4.905270e-01 4.905270e-01
+1.300000e+00 1.000000e-01 1.000000e-01 5.052950e+00 4.579411e-01 4.579411e-01
+1.500000e+00 1.000000e-01 1.000000e-01 4.513930e+00 4.101000e-01 4.101000e-01
+1.800000e+00 2.000000e-01 2.000000e-01 3.772100e+00 3.533494e-01 3.533494e-01
+2.250000e+00 2.500000e-01 2.500000e-01 2.529110e+00 2.293628e-01 2.293628e-01
+3.500000e+00 1.000000e+00 1.000000e+00 4.629010e-01 4.182140e-02 4.182140e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d71-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d71-x01-y01
+Title=Table 71
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+6.000000e-01 2.000000e-01 2.000000e-01 1.778580e+00 2.217358e-01 2.217358e-01
+1.000000e+00 2.000000e-01 2.000000e-01 1.715310e+00 1.881675e-01 1.881675e-01
+1.400000e+00 2.000000e-01 2.000000e-01 1.488420e+00 1.612097e-01 1.612097e-01
+1.800000e+00 2.000000e-01 2.000000e-01 1.172350e+00 1.479778e-01 1.479778e-01
+2.250000e+00 2.500000e-01 2.500000e-01 7.587800e-01 9.038805e-02 9.038805e-02
+3.500000e+00 1.000000e+00 1.000000e+00 1.481270e-01 1.591109e-02 1.591109e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d72-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d72-x01-y01
+Title=Table 72
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+6.000000e-01 2.000000e-01 2.000000e-01 4.773300e-01 6.876675e-02 6.876675e-02
+1.000000e+00 2.000000e-01 2.000000e-01 4.832500e-01 6.807798e-02 6.807798e-02
+1.400000e+00 2.000000e-01 2.000000e-01 4.039700e-01 5.899472e-02 5.899472e-02
+1.800000e+00 2.000000e-01 2.000000e-01 3.189300e-01 5.656259e-02 5.656259e-02
+2.250000e+00 2.500000e-01 2.500000e-01 2.209240e-01 3.647521e-02 3.647521e-02
+3.500000e+00 1.000000e+00 1.000000e+00 4.033100e-02 6.475075e-03 6.475075e-03
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d73-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d73-x01-y01
+Title=Table 73
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.158497e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.520191e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.515266e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.662094e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.713903e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.666421e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.613925e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.266147e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.089818e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.202463e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.784603e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 2.013727e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 2.225411e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 2.222295e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 2.227539e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 1.642268e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 7.976997e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 6.137324e-02 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 1.134517e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 1.776602e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 2.096717e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 2.410861e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 2.384145e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 2.068225e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 1.469111e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 6.570203e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 6.417748e-02 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 1.380824e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 1.913478e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 2.039978e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 2.260126e+00 0.000000e+00 0.000000e+00
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+6.600000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 8.452421e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 8.828426e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 5.989843e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 2.689114e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 2.750131e-04 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 4.581160e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 5.688471e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 4.941774e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 5.422331e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 5.307803e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 3.924013e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 3.663418e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 2.263900e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.500000e+01 0.000000e+00 0.000000e+00 4.722441e-04 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.600000e+01 0.000000e+00 0.000000e+00 2.010184e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.700000e+01 0.000000e+00 0.000000e+00 3.388727e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.800000e+01 0.000000e+00 0.000000e+00 2.596701e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.900000e+01 0.000000e+00 0.000000e+00 2.252772e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.000000e+01 0.000000e+00 0.000000e+00 1.816768e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.100000e+01 0.000000e+00 0.000000e+00 1.880270e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.200000e+01 0.000000e+00 0.000000e+00 1.725877e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.300000e+01 0.000000e+00 0.000000e+00 1.081869e-03 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.400000e+01 0.000000e+00 0.000000e+00 1.918977e-04 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.500000e+01 0.000000e+00 0.000000e+00 9.107119e-04 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.600000e+01 0.000000e+00 0.000000e+00 8.965142e-04 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.700000e+01 0.000000e+00 0.000000e+00 8.005292e-04 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.800000e+01 0.000000e+00 0.000000e+00 7.457473e-04 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.900000e+01 0.000000e+00 0.000000e+00 4.667584e-04 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.000000e+01 0.000000e+00 0.000000e+00 6.560325e-05 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.100000e+01 0.000000e+00 0.000000e+00 3.149570e-04 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.200000e+01 0.000000e+00 0.000000e+00 2.903689e-04 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.300000e+01 0.000000e+00 0.000000e+00 2.755215e-04 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.400000e+01 0.000000e+00 0.000000e+00 3.130135e-04 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.500000e+01 0.000000e+00 0.000000e+00 1.469405e-04 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.600000e+01 0.000000e+00 0.000000e+00 4.193052e-05 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d74-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d74-x01-y01
+Title=Table 74
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 1.795710e+01 1.126619e+00 1.126619e+00
+4.500000e-01 1.500000e-01 1.500000e-01 3.829580e+01 2.179505e+00 2.179505e+00
+7.500000e-01 1.500000e-01 1.500000e-01 4.183600e+01 2.349198e+00 2.349198e+00
+1.050000e+00 1.500000e-01 1.500000e-01 3.829520e+01 2.139020e+00 2.139020e+00
+1.350000e+00 1.500000e-01 1.500000e-01 3.228320e+01 1.791798e+00 1.791798e+00
+1.750000e+00 2.500000e-01 2.500000e-01 2.103130e+01 1.185476e+00 1.185476e+00
+2.250000e+00 2.500000e-01 2.500000e-01 9.109570e+00 5.407190e-01 5.407190e-01
+3.500000e+00 1.000000e+00 1.000000e+00 1.318380e+00 8.979445e-02 8.979445e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d75-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d75-x01-y01
+Title=Table 75
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 1.827800e+01 1.124715e+00 1.124715e+00
+4.500000e-01 1.500000e-01 1.500000e-01 3.719950e+01 2.009666e+00 2.009666e+00
+7.500000e-01 1.500000e-01 1.500000e-01 4.045130e+01 2.150191e+00 2.150191e+00
+1.050000e+00 1.500000e-01 1.500000e-01 3.739880e+01 2.004731e+00 2.004731e+00
+1.350000e+00 1.500000e-01 1.500000e-01 3.278060e+01 1.753089e+00 1.753089e+00
+1.750000e+00 2.500000e-01 2.500000e-01 2.190980e+01 1.207919e+00 1.207919e+00
+2.250000e+00 2.500000e-01 2.500000e-01 9.436350e+00 5.879026e-01 5.879026e-01
+3.500000e+00 1.000000e+00 1.000000e+00 1.334210e+00 9.036511e-02 9.036511e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d76-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d76-x01-y01
+Title=Table 76
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 2.579350e+01 1.284405e+00 1.284405e+00
+4.500000e-01 1.500000e-01 1.500000e-01 4.723960e+01 2.493410e+00 2.493410e+00
+7.500000e-01 1.500000e-01 1.500000e-01 4.426910e+01 2.368316e+00 2.368316e+00
+1.050000e+00 1.500000e-01 1.500000e-01 3.530680e+01 2.013316e+00 2.013316e+00
+1.350000e+00 1.500000e-01 1.500000e-01 2.684550e+01 1.513476e+00 1.513476e+00
+1.750000e+00 2.500000e-01 2.500000e-01 1.686479e+01 9.343876e-01 9.343876e-01
+2.250000e+00 2.500000e-01 2.500000e-01 7.626590e+00 4.387553e-01 4.387553e-01
+3.500000e+00 1.000000e+00 1.000000e+00 1.187290e+00 7.949809e-02 7.949809e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d77-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d77-x01-y01
+Title=Table 77
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 8.984460e+00 4.937273e-01 4.937273e-01
+4.500000e-01 1.500000e-01 1.500000e-01 2.668760e+01 1.357089e+00 1.357089e+00
+7.500000e-01 1.500000e-01 1.500000e-01 3.711710e+01 1.931158e+00 1.931158e+00
+1.050000e+00 1.500000e-01 1.500000e-01 3.861160e+01 2.119562e+00 2.119562e+00
+1.350000e+00 1.500000e-01 1.500000e-01 3.599550e+01 1.962923e+00 1.962923e+00
+1.750000e+00 2.500000e-01 2.500000e-01 2.606610e+01 1.449777e+00 1.449777e+00
+2.250000e+00 2.500000e-01 2.500000e-01 1.297218e+01 7.267412e-01 7.267412e-01
+3.500000e+00 1.000000e+00 1.000000e+00 2.230760e+00 1.397987e-01 1.397987e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d78-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d78-x01-y01
+Title=Table 78
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 1.161610e+00 1.096428e-01 1.096428e-01
+4.500000e-01 1.500000e-01 1.500000e-01 3.483680e+00 2.821777e-01 2.821777e-01
+7.500000e-01 1.500000e-01 1.500000e-01 5.946690e+00 4.596527e-01 4.596527e-01
+1.050000e+00 1.500000e-01 1.500000e-01 7.610540e+00 5.559301e-01 5.559301e-01
+1.350000e+00 1.500000e-01 1.500000e-01 9.208040e+00 6.837119e-01 6.837119e-01
+1.750000e+00 2.500000e-01 2.500000e-01 1.137791e+01 8.245507e-01 8.245507e-01
+2.250000e+00 2.500000e-01 2.500000e-01 1.159619e+01 7.904353e-01 7.904353e-01
+3.500000e+00 1.000000e+00 1.000000e+00 5.021650e+00 3.332754e-01 3.332754e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d79-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d79-x01-y01
+Title=Table 79
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 4.819300e-01 5.508023e-02 5.508023e-02
+4.500000e-01 1.500000e-01 1.500000e-01 1.551290e+00 1.523189e-01 1.523189e-01
+7.500000e-01 1.500000e-01 1.500000e-01 2.636400e+00 2.670408e-01 2.670408e-01
+1.050000e+00 1.500000e-01 1.500000e-01 3.259600e+00 3.021245e-01 3.021245e-01
+1.350000e+00 1.500000e-01 1.500000e-01 3.717160e+00 3.486840e-01 3.486840e-01
+1.750000e+00 2.500000e-01 2.500000e-01 4.135500e+00 3.848702e-01 3.848702e-01
+2.250000e+00 2.500000e-01 2.500000e-01 3.815500e+00 3.797299e-01 3.797299e-01
+3.500000e+00 1.000000e+00 1.000000e+00 1.381750e+00 1.233741e-01 1.233741e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d80-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d80-x01-y01
+Title=Table 80
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e-01 2.000000e-01 2.000000e-01 1.810390e-01 3.131201e-02 3.131201e-02
+6.000000e-01 2.000000e-01 2.000000e-01 6.418000e-01 8.078295e-02 8.078295e-02
+1.000000e+00 2.000000e-01 2.000000e-01 9.955200e-01 1.167994e-01 1.167994e-01
+1.350000e+00 1.500000e-01 1.500000e-01 1.164990e+00 1.371800e-01 1.371800e-01
+1.750000e+00 2.500000e-01 2.500000e-01 1.280330e+00 1.501268e-01 1.501268e-01
+2.250000e+00 2.500000e-01 2.500000e-01 1.162710e+00 1.478510e-01 1.478510e-01
+3.500000e+00 1.000000e+00 1.000000e+00 4.082810e-01 4.679434e-02 4.679434e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d81-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d81-x01-y01
+Title=Table 81
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e-01 2.000000e-01 2.000000e-01 4.274000e-02 9.612162e-03 9.612162e-03
+6.000000e-01 2.000000e-01 2.000000e-01 1.628910e-01 2.414190e-02 2.414190e-02
+1.000000e+00 2.000000e-01 2.000000e-01 2.727350e-01 3.925588e-02 3.925588e-02
+1.350000e+00 1.500000e-01 1.500000e-01 3.239030e-01 5.378828e-02 5.378828e-02
+1.750000e+00 2.500000e-01 2.500000e-01 3.589900e-01 5.607611e-02 5.607611e-02
+2.250000e+00 2.500000e-01 2.500000e-01 3.221570e-01 5.596902e-02 5.596902e-02
+3.500000e+00 1.000000e+00 1.000000e+00 1.133940e-01 1.814529e-02 1.814529e-02
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d82-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d82-x01-y01
+Title=Table 82
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.269199e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.176469e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.052327e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.710885e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.329583e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 7.586729e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.945274e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.420894e-02 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.098261e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.840897e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.842626e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.886748e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 1.419328e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 9.713714e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 4.069287e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 6.349921e-02 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 1.003205e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 2.090286e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 2.132745e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 1.710828e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 1.320735e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 8.167231e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 3.178834e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 3.661681e-02 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 3.755797e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 1.226972e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 1.760903e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 1.662165e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 1.727341e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 1.304108e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 5.834543e-01 0.000000e+00 0.000000e+00
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+6.200000e+01 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 1.705872e-02 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 1.056943e-02 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 3.875032e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 3.784482e-04 0.000000e+00 0.000000e+00
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+6.200000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 2.370930e-02 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 1.672194e-02 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 7.418611e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 1.056980e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 7.755485e-04 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 3.726503e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 5.860974e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 7.615292e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 9.524313e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 1.264273e-02 0.000000e+00 0.000000e+00
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+6.200000e+01 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 4.221422e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 7.363078e-04 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 2.219441e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 3.036781e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 4.531226e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 4.500000e+01 0.000000e+00 0.000000e+00 4.794949e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 4.600000e+01 0.000000e+00 0.000000e+00 6.213783e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 4.700000e+01 0.000000e+00 0.000000e+00 6.315742e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 4.800000e+01 0.000000e+00 0.000000e+00 1.967160e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 4.900000e+01 0.000000e+00 0.000000e+00 4.533592e-04 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.000000e+01 0.000000e+00 0.000000e+00 1.096833e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.100000e+01 0.000000e+00 0.000000e+00 1.836057e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.200000e+01 0.000000e+00 0.000000e+00 1.984628e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.300000e+01 0.000000e+00 0.000000e+00 2.194326e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.400000e+01 0.000000e+00 0.000000e+00 2.419526e-03 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.500000e+01 0.000000e+00 0.000000e+00 7.692578e-04 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.600000e+01 0.000000e+00 0.000000e+00 9.658588e-05 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.700000e+01 0.000000e+00 0.000000e+00 3.498435e-04 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.800000e+01 0.000000e+00 0.000000e+00 5.512423e-04 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.900000e+01 0.000000e+00 0.000000e+00 6.706765e-04 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 6.000000e+01 0.000000e+00 0.000000e+00 7.426844e-04 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 6.100000e+01 0.000000e+00 0.000000e+00 7.359379e-04 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 6.200000e+01 0.000000e+00 0.000000e+00 3.292479e-04 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d83-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d83-x01-y01
+Title=Table 83
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 2.396900e-03 7.602544e-05 7.602544e-05
+6.000000e+01 2.000000e+01 2.000000e+01 5.508020e-03 1.015254e-04 1.015254e-04
+1.000000e+02 2.000000e+01 2.000000e+01 5.735410e-03 7.775729e-05 7.775729e-05
+1.400000e+02 2.000000e+01 2.000000e+01 4.321650e-03 7.182646e-05 7.182646e-05
+1.800000e+02 2.000000e+01 2.000000e+01 2.815810e-03 4.431226e-05 4.431226e-05
+2.200000e+02 2.000000e+01 2.000000e+01 1.706900e-03 4.049617e-05 4.049617e-05
+2.600000e+02 2.000000e+01 2.000000e+01 1.026667e-03 2.361123e-05 2.361123e-05
+3.050000e+02 2.500000e+01 2.500000e+01 5.725220e-04 2.038812e-05 2.038812e-05
+3.550000e+02 2.500000e+01 2.500000e+01 2.995070e-04 1.323861e-05 1.323861e-05
+4.050000e+02 2.500000e+01 2.500000e+01 1.519610e-04 8.309660e-06 8.309660e-06
+4.650000e+02 3.500000e+01 3.500000e+01 6.804300e-05 4.672648e-06 4.672648e-06
+6.500000e+02 1.500000e+02 1.500000e+02 1.194330e-05 1.546724e-06 1.546724e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d84-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d84-x01-y01
+Title=Table 84
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 5.780206e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 4.608508e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -2.367083e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -3.640617e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -1.823155e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -2.324646e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -9.592971e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -5.920357e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -6.155722e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -2.353143e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -3.097052e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -2.676856e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 4.608508e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.030647e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -3.188588e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -5.444902e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -1.681720e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -6.240159e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.031416e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -1.380065e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -3.277155e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -2.155033e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -1.123079e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -4.582558e-11 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -2.367083e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -3.188588e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 6.046504e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.154865e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -6.190072e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -1.607214e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.669677e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.118948e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -3.312169e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 3.089241e-11 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -1.618136e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.882705e-11 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -3.640617e-09 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -5.444902e-09 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.154865e-09 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 5.158950e-09 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 5.922052e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -5.351876e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 6.530867e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 5.441312e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 3.771935e-12 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.019752e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.229517e-11 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.369809e-11 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -1.823155e-09 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -1.681720e-09 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -6.190072e-10 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 5.922052e-10 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.963784e-09 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 6.445244e-10 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.039764e-10 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.560138e-10 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 9.009850e-11 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 5.613215e-11 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 8.863138e-11 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -8.469186e-12 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -2.324646e-10 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -6.240159e-10 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -1.607214e-09 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -5.351876e-10 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 6.445244e-10 0.000000e+00 0.000000e+00
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+8.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 3.002183e-11 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 2.343817e-11 0.000000e+00 0.000000e+00
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+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -6.155722e-11 0.000000e+00 0.000000e+00
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+9.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -3.312169e-10 0.000000e+00 0.000000e+00
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+9.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.067385e-10 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 8.616811e-11 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 5.414771e-12 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.752601e-10 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.009099e-11 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.034770e-11 0.000000e+00 0.000000e+00
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+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -2.353143e-10 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -2.155033e-10 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.089241e-11 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.019752e-10 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 5.613215e-11 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -5.939816e-11 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 7.788954e-11 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.002183e-11 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.009099e-11 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 6.905756e-11 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 7.733882e-12 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -8.894439e-13 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -3.097052e-11 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -1.123079e-10 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -1.618136e-10 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.229517e-11 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 8.863138e-11 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 8.335973e-11 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.825276e-11 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.343817e-11 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.034770e-11 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 7.733882e-12 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 2.183667e-11 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -1.008118e-12 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -2.676856e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -4.582558e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.882705e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.369809e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -8.469186e-12 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.591945e-12 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.559668e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.939618e-12 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.028624e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -8.894439e-13 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -1.008118e-12 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 2.392433e-12 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d85-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d85-x01-y01
+Title=Table 85
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 7.767070e-01 1.265597e-02 1.265597e-02
+3.000000e-01 1.000000e-01 1.000000e-01 7.594990e-01 1.112139e-02 1.112139e-02
+5.000000e-01 1.000000e-01 1.000000e-01 7.093470e-01 8.760186e-03 8.760186e-03
+7.000000e-01 1.000000e-01 1.000000e-01 6.600240e-01 9.989006e-03 9.989006e-03
+9.000000e-01 1.000000e-01 1.000000e-01 5.754600e-01 9.793113e-03 9.793113e-03
+1.100000e+00 1.000000e-01 1.000000e-01 4.977220e-01 5.590556e-03 5.590556e-03
+1.300000e+00 1.000000e-01 1.000000e-01 3.990380e-01 8.709280e-03 8.709280e-03
+1.500000e+00 1.000000e-01 1.000000e-01 2.927790e-01 9.864324e-03 9.864324e-03
+1.700000e+00 1.000000e-01 1.000000e-01 1.923830e-01 6.763778e-03 6.763778e-03
+1.900000e+00 1.000000e-01 1.000000e-01 9.992500e-02 4.343515e-03 4.343515e-03
+2.250000e+00 2.500000e-01 2.500000e-01 1.484700e-02 9.394693e-04 9.394693e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d86-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d86-x01-y01
+Title=Table 86
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.601724e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.859063e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 4.745758e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -1.190462e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -3.915132e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -3.852198e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.853844e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -7.373498e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -5.454818e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -3.554872e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -3.803444e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 3.859063e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.236810e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.081493e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.355728e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -2.244157e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -3.495500e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -5.676666e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -5.218389e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -3.552591e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -2.011206e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -5.863503e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 4.745758e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.081493e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 7.674784e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -1.664164e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.267533e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -2.047226e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.547598e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -5.387699e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -3.647564e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -1.688893e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -3.145694e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -1.190462e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 4.355728e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -1.664164e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 9.978641e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -2.795140e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -4.074882e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -5.123341e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -5.025143e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.123319e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -1.081827e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -1.784456e-06 0.000000e+00 0.000000e+00
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+7.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -1.004550e-05 0.000000e+00 0.000000e+00
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+7.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 4.054509e-06 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.556657e-05 0.000000e+00 0.000000e+00
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+7.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 5.509215e-06 0.000000e+00 0.000000e+00
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+8.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -5.218389e-05 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -5.387699e-05 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -5.025143e-06 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -9.913366e-06 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.612545e-05 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.054509e-06 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 9.730306e-05 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 4.633544e-05 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.725547e-05 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.464172e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -5.454818e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -3.552591e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -3.647564e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -1.123319e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -2.319668e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.476078e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.556657e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 4.633544e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 4.574418e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.152598e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 2.818659e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -3.554872e-05 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -2.011206e-05 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -1.688893e-05 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -1.081827e-05 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -6.082984e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 8.763825e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.834192e-05 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.725547e-05 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.152598e-05 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.886382e-05 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.879979e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -3.803444e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -5.863503e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -3.145694e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -1.784456e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -1.178622e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.897231e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 5.509215e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.464172e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.818659e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.879979e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 8.825850e-07 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d87-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d87-x01-y01
+Title=Table 87
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 2.211600e-03 9.627563e-05 9.627563e-05
+6.000000e+01 2.000000e+01 2.000000e+01 5.230990e-03 1.457399e-04 1.457399e-04
+1.000000e+02 2.000000e+01 2.000000e+01 5.388740e-03 1.361435e-04 1.361435e-04
+1.400000e+02 2.000000e+01 2.000000e+01 4.619220e-03 9.467754e-05 9.467754e-05
+1.800000e+02 2.000000e+01 2.000000e+01 2.856550e-03 8.712563e-05 8.712563e-05
+2.200000e+02 2.000000e+01 2.000000e+01 1.934550e-03 7.574806e-05 7.574806e-05
+2.600000e+02 2.000000e+01 2.000000e+01 1.104920e-03 7.040202e-05 7.040202e-05
+3.050000e+02 2.500000e+01 2.500000e+01 6.329000e-04 3.213249e-05 3.213249e-05
+3.550000e+02 2.500000e+01 2.500000e+01 3.230400e-04 3.130905e-05 3.130905e-05
+4.050000e+02 2.500000e+01 2.500000e+01 1.628260e-04 2.500186e-05 2.500186e-05
+4.650000e+02 3.500000e+01 3.500000e+01 8.459300e-05 1.035931e-05 1.035931e-05
+6.500000e+02 1.500000e+02 1.500000e+02 1.425680e-05 1.453274e-06 1.453274e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d88-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d88-x01-y01
+Title=Table 88
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 9.270017e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -6.718153e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.635435e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -3.930547e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.573105e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -1.755795e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -5.031271e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -2.553880e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -3.138979e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -5.717279e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.158329e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -2.044339e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -6.718153e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.124116e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -1.233104e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.034686e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -6.143204e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.116103e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.612005e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -1.192692e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.074144e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -3.239989e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -3.502439e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -3.765276e-12 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.635435e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -1.233104e-08 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.853434e-08 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -6.843504e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.814512e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -5.655616e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -2.776184e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.140205e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.747223e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 5.525222e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -2.290784e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.342019e-13 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -3.930547e-09 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.034686e-09 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -6.843504e-09 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 8.963721e-09 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -2.909639e-09 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.148798e-09 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.232788e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 6.446341e-11 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.721356e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 5.001027e-11 0.000000e+00 0.000000e+00
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+9.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 2.316827e-10 0.000000e+00 0.000000e+00
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+1.000000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -3.239989e-10 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 5.525222e-10 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 5.001027e-11 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.358814e-10 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -5.590591e-10 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.788414e-10 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.911953e-10 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -5.702480e-10 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 6.250743e-10 0.000000e+00 0.000000e+00
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+1.000000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 2.495009e-11 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.158329e-10 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -3.502439e-12 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -2.290784e-10 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -9.750348e-11 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.249322e-11 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.145362e-10 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -3.864266e-11 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -9.712269e-11 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.316827e-10 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -2.183553e-10 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.073156e-10 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -1.029247e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -2.044339e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -3.765276e-12 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.342019e-13 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.007680e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -2.805656e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.780254e-12 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -6.122103e-12 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.760497e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -2.210059e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.495009e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -1.029247e-11 0.000000e+00 0.000000e+00
+1.200000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 2.111974e-12 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d89-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d89-x01-y01
+Title=Table 89
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 7.348430e-01 1.697499e-02 1.697499e-02
+3.000000e-01 1.000000e-01 1.000000e-01 7.166210e-01 1.553382e-02 1.553382e-02
+5.000000e-01 1.000000e-01 1.000000e-01 7.003450e-01 1.524718e-02 1.524718e-02
+7.000000e-01 1.000000e-01 1.000000e-01 6.510320e-01 2.227986e-02 2.227986e-02
+9.000000e-01 1.000000e-01 1.000000e-01 5.746070e-01 1.768698e-02 1.768698e-02
+1.100000e+00 1.000000e-01 1.000000e-01 4.985130e-01 1.437643e-02 1.437643e-02
+1.300000e+00 1.000000e-01 1.000000e-01 4.115820e-01 1.924211e-02 1.924211e-02
+1.500000e+00 1.000000e-01 1.000000e-01 2.832950e-01 1.806777e-02 1.806777e-02
+1.700000e+00 1.000000e-01 1.000000e-01 2.142870e-01 1.330825e-02 1.330825e-02
+1.900000e+00 1.000000e-01 1.000000e-01 1.288360e-01 1.318889e-02 1.318889e-02
+2.250000e+00 2.500000e-01 2.500000e-01 3.441600e-02 3.854237e-03 3.854237e-03
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d90-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d90-x01-y01
+Title=Table 90
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.881367e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -1.534284e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 4.288749e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -2.033586e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.056128e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.701897e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -3.349238e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -2.757103e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.042131e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.894781e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 3.783904e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -1.534284e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.412890e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -5.939812e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.965673e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -5.004361e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -1.525620e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -6.105818e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 7.312048e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 4.786857e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -9.360811e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 8.343123e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 4.288749e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -5.939812e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.324704e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -1.298742e-04 0.000000e+00 0.000000e+00
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+1.000000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -3.136223e-05 0.000000e+00 0.000000e+00
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+1.000000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -3.125924e-05 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 3.783904e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 8.343123e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 7.911276e-07 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -5.812377e-07 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.553695e-08 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 6.240263e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.960903e-05 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 6.602516e-06 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.148130e-05 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -3.125924e-05 0.000000e+00 0.000000e+00
+1.100000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.485774e-05 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d91-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d91-x01-y01
+Title=Table 91
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 1.121690e-03 1.402465e-04 1.402465e-04
+3.950000e+02 3.500000e+01 3.500000e+01 2.941400e-03 7.415148e-05 7.415148e-05
+4.650000e+02 3.500000e+01 3.500000e+01 2.807170e-03 7.382596e-05 7.382596e-05
+5.400000e+02 4.000000e+01 4.000000e+01 2.164680e-03 4.111683e-05 4.111683e-05
+6.300000e+02 5.000000e+01 5.000000e+01 1.417330e-03 2.905083e-05 2.905083e-05
+7.400000e+02 6.000000e+01 6.000000e+01 8.107080e-04 2.258229e-05 2.258229e-05
+9.000000e+02 1.000000e+02 1.000000e+02 3.619930e-04 1.209365e-05 1.209365e-05
+1.100000e+03 1.000000e+02 1.000000e+02 1.310520e-04 6.543541e-06 6.543541e-06
+1.350000e+03 1.500000e+02 1.500000e+02 4.452500e-05 3.521438e-06 3.521438e-06
+2.000000e+03 5.000000e+02 5.000000e+02 6.140000e-06 7.282328e-07 7.282328e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d92-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d92-x01-y01
+Title=Table 92
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.966891e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -4.076694e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -8.620432e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 7.079438e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -1.763650e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -4.452084e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -4.995968e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -3.602727e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.401699e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -3.076473e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -4.076694e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.497851e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.254494e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -1.897543e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -9.234407e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -2.741678e-10 0.000000e+00 0.000000e+00
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+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -2.922496e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 3.885613e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -5.290774e-12 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -8.620432e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.254494e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 5.449544e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -4.164787e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.350658e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -1.361169e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.244603e-10 0.000000e+00 0.000000e+00
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+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 5.975315e-11 0.000000e+00 0.000000e+00
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+7.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.462664e-10 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.908622e-12 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -4.374533e-12 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 4.093348e-12 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -3.602727e-10 0.000000e+00 0.000000e+00
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+8.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.621271e-12 0.000000e+00 0.000000e+00
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+9.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.753137e-11 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -4.374533e-12 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.554318e-12 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.240300e-11 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -9.363754e-13 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -3.076473e-12 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -5.290774e-12 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -1.005703e-11 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -2.958682e-13 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 4.739555e-12 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -3.739783e-12 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.093348e-12 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 9.468361e-13 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -9.363754e-13 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 5.302984e-13 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d93-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d93-x01-y01
+Title=Table 93
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 1.125864e-02 2.453027e-04 2.453027e-04
+6.000000e+01 2.000000e+01 2.000000e+01 6.398300e-03 2.290271e-04 2.290271e-04
+1.150000e+02 3.500000e+01 3.500000e+01 2.519960e-03 7.106175e-05 7.106175e-05
+1.850000e+02 3.500000e+01 3.500000e+01 9.262000e-04 2.837065e-05 2.837065e-05
+2.600000e+02 4.000000e+01 4.000000e+01 3.873860e-04 1.897664e-05 1.897664e-05
+3.400000e+02 4.000000e+01 4.000000e+01 1.406730e-04 1.009602e-05 1.009602e-05
+4.400000e+02 6.000000e+01 6.000000e+01 5.805500e-05 3.597509e-06 3.597509e-06
+7.500000e+02 2.500000e+02 2.500000e+02 6.560700e-06 4.674422e-07 4.674422e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d94-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d94-x01-y01
+Title=Table 94
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 6.017364e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -4.618999e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -3.324622e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -2.784715e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -1.111053e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -1.600926e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.553172e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -2.272510e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -4.618999e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.245476e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -5.533874e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.635123e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.940956e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -3.467598e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.544864e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.599292e-11 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -3.324622e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -5.533874e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 5.050198e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -2.740662e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 9.018880e-11 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.654027e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -7.319476e-11 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 6.933602e-13 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -2.784715e-09 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.635123e-09 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -2.740662e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 8.048698e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.382679e-11 0.000000e+00 0.000000e+00
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+4.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.021484e-11 0.000000e+00 0.000000e+00
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+5.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -1.111053e-09 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.940956e-10 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 9.018880e-11 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.382679e-11 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.600990e-10 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -9.908758e-11 0.000000e+00 0.000000e+00
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+5.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.995554e-13 0.000000e+00 0.000000e+00
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+6.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -3.467598e-10 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.654027e-10 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.758907e-11 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -9.908758e-11 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.019322e-10 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.788024e-11 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 5.654522e-13 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -1.553172e-10 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.544864e-10 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -7.319476e-11 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.021484e-11 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.638770e-11 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -1.788024e-11 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.294396e-11 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.590639e-14 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -2.272510e-11 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.599292e-11 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 6.933602e-13 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 5.767196e-13 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.995554e-13 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 5.654522e-13 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.590639e-14 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.185441e-13 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d95-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d95-x01-y01
+Title=Table 95
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 9.865230e-01 1.504157e-02 1.504157e-02
+3.000000e-01 1.000000e-01 1.000000e-01 9.334860e-01 1.598572e-02 1.598572e-02
+5.000000e-01 1.000000e-01 1.000000e-01 8.387510e-01 1.496221e-02 1.496221e-02
+7.000000e-01 1.000000e-01 1.000000e-01 7.226950e-01 1.621295e-02 1.621295e-02
+9.000000e-01 1.000000e-01 1.000000e-01 5.771380e-01 1.218088e-02 1.218088e-02
+1.100000e+00 1.000000e-01 1.000000e-01 4.098630e-01 1.001803e-02 1.001803e-02
+1.300000e+00 1.000000e-01 1.000000e-01 2.798890e-01 9.578461e-03 9.578461e-03
+1.500000e+00 1.000000e-01 1.000000e-01 1.559350e-01 6.755870e-03 6.755870e-03
+1.700000e+00 1.000000e-01 1.000000e-01 6.731200e-02 6.418680e-03 6.418680e-03
+2.100000e+00 3.000000e-01 3.000000e-01 9.468800e-03 1.197792e-03 1.197792e-03
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d96-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d96-x01-y01
+Title=Table 96
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.262599e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -9.906262e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.110011e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -1.411472e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.193890e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -7.461420e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -2.974927e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -2.651365e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -5.208840e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.274202e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -9.906262e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.555459e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -1.310794e-04 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 5.550525e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.701049e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -2.308581e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -4.438111e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -3.934013e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 3.895266e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -4.441625e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.110011e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -1.310794e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.238811e-04 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -9.852880e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -6.588049e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.079868e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 9.865749e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -1.755046e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -4.410164e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -2.801971e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -1.411472e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.550525e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -9.852880e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.628647e-04 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -8.285960e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -8.604904e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.258557e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.482445e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.430498e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -5.001183e-07 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.193890e-05 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.701049e-07 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -6.588049e-05 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -8.285960e-05 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.483740e-04 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.216128e-05 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -5.740283e-05 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.546472e-05 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -8.017938e-06 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 5.317278e-06 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -7.461420e-06 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -2.308581e-05 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 2.079868e-05 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -8.604904e-05 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.216128e-05 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.003694e-04 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -2.646894e-05 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -6.748404e-06 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 7.128137e-06 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -2.146391e-07 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -2.974927e-05 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -4.438111e-05 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 9.865749e-06 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.258557e-05 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -5.740283e-05 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -2.646894e-05 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 9.173827e-05 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 5.288545e-06 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.494429e-05 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -2.140094e-06 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -2.651365e-05 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -3.934013e-05 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -1.755046e-05 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.482445e-05 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.546472e-05 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -6.748404e-06 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 5.288545e-06 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 4.564070e-05 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -8.995558e-06 0.000000e+00 0.000000e+00
+8.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.643264e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -5.208840e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.895266e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -4.410164e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.430498e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -8.017938e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 7.128137e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.494429e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -8.995558e-06 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 4.119511e-05 0.000000e+00 0.000000e+00
+9.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -4.440542e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.274202e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -4.441625e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -2.801971e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -5.001183e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 5.317278e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -2.146391e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -2.140094e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.643264e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -4.440542e-06 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.434748e-06 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d97-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d97-x01-y01
+Title=Table 97
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+0.000000e+00 5.000000e-01 5.000000e-01 5.585870e-01 9.907420e-03 9.907420e-03
+1.000000e+00 5.000000e-01 5.000000e-01 2.897080e-01 4.464756e-03 4.464756e-03
+2.000000e+00 5.000000e-01 5.000000e-01 1.046320e-01 4.136258e-03 4.136258e-03
+3.000000e+00 5.000000e-01 5.000000e-01 3.425310e-02 1.976890e-03 1.976890e-03
+4.000000e+00 5.000000e-01 5.000000e-01 9.236200e-03 9.548017e-04 9.548017e-04
+5.000000e+00 5.000000e-01 5.000000e-01 3.583100e-03 4.001332e-04 4.001332e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d98-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d98-x01-y01
+Title=Table 98
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 9.816400e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -4.025186e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -3.665302e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -1.301203e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -5.677882e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -2.569203e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -4.025186e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.993139e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.272224e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.100708e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.792072e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 7.054498e-07 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -3.665302e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.272224e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.710859e-05 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.077299e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.616205e-06 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.128686e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -1.301203e-05 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 4.100708e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 4.077299e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.907972e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.545565e-07 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 5.714955e-07 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -5.677882e-06 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.792072e-06 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.616205e-06 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.545565e-07 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 9.115994e-07 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.448471e-09 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -2.569203e-06 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 7.054498e-07 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.128686e-06 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 5.714955e-07 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.448471e-09 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.601228e-07 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d99-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d99-x01-y01
+Title=Table 99
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 6.425470e-04 7.817181e-05 7.817181e-05
+3.950000e+02 3.500000e+01 3.500000e+01 1.615280e-03 5.418907e-05 5.418907e-05
+4.650000e+02 3.500000e+01 3.500000e+01 1.533572e-03 3.347648e-05 3.347648e-05
+5.400000e+02 4.000000e+01 4.000000e+01 1.189931e-03 2.707712e-05 2.707712e-05
+6.300000e+02 5.000000e+01 5.000000e+01 7.921420e-04 2.448452e-05 2.448452e-05
+7.400000e+02 6.000000e+01 6.000000e+01 4.621000e-04 1.149231e-05 1.149231e-05
+9.000000e+02 1.000000e+02 1.000000e+02 2.100580e-04 9.102890e-06 9.102890e-06
+1.100000e+03 1.000000e+02 1.000000e+02 7.716100e-05 6.443212e-06 6.443212e-06
+1.600000e+03 4.000000e+02 4.000000e+02 1.455830e-05 1.124655e-06 1.124655e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d100-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d100-x01-y01
+Title=Table 100
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 3.050310e-04 3.249384e-05 3.249384e-05
+3.950000e+02 3.500000e+01 3.500000e+01 8.792630e-04 3.303239e-05 3.303239e-05
+4.650000e+02 3.500000e+01 3.500000e+01 8.430280e-04 3.134425e-05 3.134425e-05
+5.400000e+02 4.000000e+01 4.000000e+01 6.314530e-04 1.874687e-05 1.874687e-05
+6.300000e+02 5.000000e+01 5.000000e+01 4.098850e-04 1.722528e-05 1.722528e-05
+7.400000e+02 6.000000e+01 6.000000e+01 2.296390e-04 8.773052e-06 8.773052e-06
+9.000000e+02 1.000000e+02 1.000000e+02 9.991500e-05 4.698999e-06 4.698999e-06
+1.100000e+03 1.000000e+02 1.000000e+02 3.582290e-05 3.272573e-06 3.272573e-06
+1.600000e+03 4.000000e+02 4.000000e+02 5.673100e-06 5.925436e-07 5.925436e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d101-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d101-x01-y01
+Title=Table 101
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 1.007670e-04 7.102465e-06 7.102465e-06
+3.950000e+02 3.500000e+01 3.500000e+01 3.274860e-04 1.444289e-05 1.444289e-05
+4.650000e+02 3.500000e+01 3.500000e+01 3.124780e-04 2.275962e-05 2.275962e-05
+5.400000e+02 4.000000e+01 4.000000e+01 2.344130e-04 1.326136e-05 1.326136e-05
+6.300000e+02 5.000000e+01 5.000000e+01 1.481070e-04 9.637586e-06 9.637586e-06
+7.400000e+02 6.000000e+01 6.000000e+01 8.242800e-05 6.123057e-06 6.123057e-06
+9.000000e+02 1.000000e+02 1.000000e+02 3.586290e-05 1.918323e-06 1.918323e-06
+1.100000e+03 1.000000e+02 1.000000e+02 1.246300e-05 1.324477e-06 1.324477e-06
+1.600000e+03 4.000000e+02 4.000000e+02 1.988700e-06 2.904145e-07 2.904145e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d102-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d102-x01-y01
+Title=Table 102
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 3.715200e-05 4.538588e-06 4.538588e-06
+3.950000e+02 3.500000e+01 3.500000e+01 1.404140e-04 1.162991e-05 1.162991e-05
+4.650000e+02 3.500000e+01 3.500000e+01 1.424450e-04 1.244229e-05 1.244229e-05
+5.400000e+02 4.000000e+01 4.000000e+01 1.050120e-04 8.367407e-06 8.367407e-06
+6.300000e+02 5.000000e+01 5.000000e+01 6.732800e-05 6.360478e-06 6.360478e-06
+7.400000e+02 6.000000e+01 6.000000e+01 3.671350e-05 4.534815e-06 4.534815e-06
+9.000000e+02 1.000000e+02 1.000000e+02 1.675650e-05 2.604415e-06 2.604415e-06
+1.100000e+03 1.000000e+02 1.000000e+02 6.157700e-06 7.920041e-07 7.920041e-07
+1.600000e+03 4.000000e+02 4.000000e+02 9.509500e-07 2.928965e-07 2.928965e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d103-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d103-x01-y01
+Title=Table 103
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 6.110832e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.471793e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -1.248652e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 7.845809e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.682123e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.176782e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.030515e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -1.909952e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -9.491151e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.856399e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -3.740217e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -1.668889e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 -4.469552e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -4.346222e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -1.338815e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 1.488736e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -4.394859e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -1.937563e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 3.530366e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -2.208343e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -1.158443e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -6.759858e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -3.554946e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -1.604358e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -7.743365e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -2.389012e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 2.568767e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 6.771886e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -3.096147e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -2.273290e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 -3.846237e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 -3.008751e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 -2.358693e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 -3.611058e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 -3.030932e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 -7.952442e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.471793e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.936302e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.260978e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -3.812614e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.889964e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.872800e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.441411e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.140243e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.849060e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -1.448325e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -3.253459e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -1.288096e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 -6.405142e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -4.565657e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 5.346837e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -6.851759e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -1.018486e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 2.670601e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 2.181620e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -1.212974e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 1.380652e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -2.583219e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -4.397139e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -1.378230e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -2.091262e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -3.927442e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -2.677026e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 2.230089e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -2.622819e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -2.989216e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 -1.560034e-10 0.000000e+00 0.000000e+00
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+3.600000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.867200e-12 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.111812e-12 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 -9.826866e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -1.404932e-12 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 3.804610e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -7.911416e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 1.341144e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 1.977103e-14 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -4.506791e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -5.849604e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 1.748670e-12 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -5.284415e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -6.020234e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 4.953174e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 1.478968e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -1.094521e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -1.105466e-14 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 1.705569e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 1.136243e-12 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -7.967858e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 1.173091e-14 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 -1.647739e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 6.727183e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 -1.592776e-13 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 -4.042790e-14 0.000000e+00 0.000000e+00
+3.600000e+01 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 8.578848e-14 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d104-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d104-x01-y01
+Title=Table 104
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 1.440020e-03 7.272705e-05 7.272705e-05
+6.000000e+01 2.000000e+01 2.000000e+01 3.261010e-03 9.190597e-05 9.190597e-05
+1.000000e+02 2.000000e+01 2.000000e+01 3.367360e-03 9.244479e-05 9.244479e-05
+1.400000e+02 2.000000e+01 2.000000e+01 2.454740e-03 5.314195e-05 5.314195e-05
+1.800000e+02 2.000000e+01 2.000000e+01 1.512240e-03 3.726007e-05 3.726007e-05
+2.200000e+02 2.000000e+01 2.000000e+01 8.572580e-04 3.488610e-05 3.488610e-05
+2.600000e+02 2.000000e+01 2.000000e+01 4.784370e-04 1.994075e-05 1.994075e-05
+3.050000e+02 2.500000e+01 2.500000e+01 2.464490e-04 1.357589e-05 1.357589e-05
+3.550000e+02 2.500000e+01 2.500000e+01 1.235180e-04 8.210762e-06 8.210762e-06
+4.150000e+02 3.500000e+01 3.500000e+01 5.075200e-05 4.991662e-06 4.991662e-06
+6.250000e+02 1.750000e+02 1.750000e+02 6.876500e-06 7.104799e-07 7.104799e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d105-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d105-x01-y01
+Title=Table 105
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 6.384950e-04 3.883671e-05 3.883671e-05
+6.000000e+01 2.000000e+01 2.000000e+01 1.515314e-03 7.165422e-05 7.165422e-05
+1.000000e+02 2.000000e+01 2.000000e+01 1.597601e-03 3.729709e-05 3.729709e-05
+1.400000e+02 2.000000e+01 2.000000e+01 1.250591e-03 3.043197e-05 3.043197e-05
+1.800000e+02 2.000000e+01 2.000000e+01 8.442780e-04 2.301565e-05 2.301565e-05
+2.200000e+02 2.000000e+01 2.000000e+01 5.406260e-04 2.642727e-05 2.642727e-05
+2.600000e+02 2.000000e+01 2.000000e+01 3.347390e-04 1.478177e-05 1.478177e-05
+3.050000e+02 2.500000e+01 2.500000e+01 1.896770e-04 8.884209e-06 8.884209e-06
+3.550000e+02 2.500000e+01 2.500000e+01 9.432900e-05 6.971045e-06 6.971045e-06
+4.150000e+02 3.500000e+01 3.500000e+01 4.383800e-05 3.178255e-06 3.178255e-06
+6.250000e+02 1.750000e+02 1.750000e+02 6.305600e-06 6.239529e-07 6.239529e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d106-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d106-x01-y01
+Title=Table 106
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 2.093300e-04 1.728976e-05 1.728976e-05
+6.000000e+01 2.000000e+01 2.000000e+01 5.083030e-04 2.324349e-05 2.324349e-05
+1.000000e+02 2.000000e+01 2.000000e+01 5.576850e-04 2.501658e-05 2.501658e-05
+1.400000e+02 2.000000e+01 2.000000e+01 4.472690e-04 2.437084e-05 2.437084e-05
+1.800000e+02 2.000000e+01 2.000000e+01 3.227960e-04 1.577566e-05 1.577566e-05
+2.200000e+02 2.000000e+01 2.000000e+01 2.155820e-04 1.479466e-05 1.479466e-05
+2.600000e+02 2.000000e+01 2.000000e+01 1.421380e-04 7.575541e-06 7.575541e-06
+3.050000e+02 2.500000e+01 2.500000e+01 8.819900e-05 6.768251e-06 6.768251e-06
+3.550000e+02 2.500000e+01 2.500000e+01 4.963100e-05 4.059865e-06 4.059865e-06
+4.150000e+02 3.500000e+01 3.500000e+01 2.340770e-05 1.735072e-06 1.735072e-06
+6.250000e+02 1.750000e+02 1.750000e+02 3.184200e-06 3.539704e-07 3.539704e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d107-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d107-x01-y01
+Title=Table 107
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 8.521000e-05 5.694628e-06 5.694628e-06
+6.000000e+01 2.000000e+01 2.000000e+01 2.065710e-04 1.740207e-05 1.740207e-05
+1.000000e+02 2.000000e+01 2.000000e+01 2.276500e-04 1.541236e-05 1.541236e-05
+1.400000e+02 2.000000e+01 2.000000e+01 1.900330e-04 1.377382e-05 1.377382e-05
+1.800000e+02 2.000000e+01 2.000000e+01 1.401030e-04 1.145243e-05 1.145243e-05
+2.200000e+02 2.000000e+01 2.000000e+01 9.837500e-05 7.577572e-06 7.577572e-06
+2.600000e+02 2.000000e+01 2.000000e+01 6.988100e-05 7.184713e-06 7.184713e-06
+3.050000e+02 2.500000e+01 2.500000e+01 4.829900e-05 5.208770e-06 5.208770e-06
+3.550000e+02 2.500000e+01 2.500000e+01 3.033600e-05 2.914349e-06 2.914349e-06
+4.150000e+02 3.500000e+01 3.500000e+01 1.590200e-05 1.570337e-06 1.570337e-06
+6.250000e+02 1.750000e+02 1.750000e+02 2.376300e-06 3.710107e-07 3.710107e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d108-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d108-x01-y01
+Title=Table 108
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 5.289266e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 4.405083e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -1.074165e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -1.069174e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 4.480047e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -9.705809e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.789671e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -2.675043e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.476036e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.788530e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -1.634387e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.640557e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 2.494845e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -1.068450e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -1.444244e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -9.457372e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 4.765782e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -7.169158e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -2.490482e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -4.541049e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -6.925511e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -2.986875e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -7.791779e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -7.735371e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -8.331990e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -1.184776e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -4.759687e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -8.068465e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -3.100201e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -6.846328e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 -1.288678e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 -3.453529e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 -1.378677e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 -1.558532e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 -5.506934e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 -5.081871e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 -4.333963e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 -3.541957e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 -4.061235e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 -2.912651e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 -1.172016e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 -5.840956e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 -1.049902e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 -9.520331e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 4.405083e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 8.447492e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.265091e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.109681e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.555467e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 5.788113e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.255466e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -1.580928e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.384501e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -2.567249e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -1.094228e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 2.707779e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 -5.467013e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -1.930960e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -1.596426e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -8.266552e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -4.760531e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -2.723243e-10 0.000000e+00 0.000000e+00
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+4.400000e+01 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 -6.305157e-14 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 1.376700e-13 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d109-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d109-x01-y01
+Title=Table 109
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 9.771710e-03 2.245571e-04 2.245571e-04
+6.000000e+01 2.000000e+01 2.000000e+01 3.179750e-03 2.642127e-04 2.642127e-04
+1.150000e+02 3.500000e+01 3.500000e+01 4.773800e-04 3.895083e-05 3.895083e-05
+1.850000e+02 3.500000e+01 3.500000e+01 7.082500e-05 1.119470e-05 1.119470e-05
+2.600000e+02 4.000000e+01 4.000000e+01 1.053900e-05 3.348786e-06 3.348786e-06
+6.500000e+02 3.500000e+02 3.500000e+02 3.662300e-07 1.318142e-07 1.318142e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d110-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d110-x01-y01
+Title=Table 110
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 1.165700e-03 9.964276e-05 9.964276e-05
+6.000000e+01 2.000000e+01 2.000000e+01 2.530790e-03 7.851265e-05 7.851265e-05
+1.150000e+02 3.500000e+01 3.500000e+01 1.291810e-03 2.888427e-05 2.888427e-05
+1.850000e+02 3.500000e+01 3.500000e+01 4.495170e-04 1.841115e-05 1.841115e-05
+2.600000e+02 4.000000e+01 4.000000e+01 1.532520e-04 1.088218e-05 1.088218e-05
+3.400000e+02 4.000000e+01 4.000000e+01 5.708500e-05 9.769497e-06 9.769497e-06
+6.900000e+02 3.100000e+02 3.100000e+02 6.361800e-06 5.102871e-07 5.102871e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d111-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d111-x01-y01
+Title=Table 111
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 2.469510e-04 3.841694e-05 3.841694e-05
+6.000000e+01 2.000000e+01 2.000000e+01 5.394400e-04 3.909850e-05 3.909850e-05
+1.150000e+02 3.500000e+01 3.500000e+01 5.260530e-04 3.369815e-05 3.369815e-05
+1.850000e+02 3.500000e+01 3.500000e+01 2.653120e-04 1.872689e-05 1.872689e-05
+2.600000e+02 4.000000e+01 4.000000e+01 1.335500e-04 1.092841e-05 1.092841e-05
+3.400000e+02 4.000000e+01 4.000000e+01 4.803200e-05 9.718902e-06 9.718902e-06
+4.400000e+02 6.000000e+01 6.000000e+01 1.873600e-05 2.251869e-06 2.251869e-06
+7.500000e+02 2.500000e+02 2.500000e+02 1.745100e-06 3.057779e-07 3.057779e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d112-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d112-x01-y01
+Title=Table 112
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 6.594000e-05 1.767513e-05 1.767513e-05
+6.000000e+01 2.000000e+01 2.000000e+01 1.827300e-04 2.185743e-05 2.185743e-05
+1.150000e+02 3.500000e+01 3.500000e+01 1.977720e-04 1.865798e-05 1.865798e-05
+1.850000e+02 3.500000e+01 3.500000e+01 1.454710e-04 1.309223e-05 1.309223e-05
+2.600000e+02 4.000000e+01 4.000000e+01 9.254100e-05 1.159710e-05 1.159710e-05
+3.400000e+02 4.000000e+01 4.000000e+01 3.548800e-05 6.494813e-06 6.494813e-06
+4.400000e+02 6.000000e+01 6.000000e+01 1.706000e-05 3.019339e-06 3.019339e-06
+7.500000e+02 2.500000e+02 2.500000e+02 2.363400e-06 3.053783e-07 3.053783e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d113-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d113-x01-y01
+Title=Table 113
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 5.042547e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -3.033592e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -1.017063e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -1.404294e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -1.316214e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.548868e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -4.550191e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 6.048843e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.831535e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -2.691240e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -1.952167e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -2.495117e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 1.292308e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 7.104737e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -2.441758e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -2.237043e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -9.099684e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -2.087945e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 9.384204e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -5.077837e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -7.473539e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -8.350033e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -3.985411e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -1.363909e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -5.234785e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -3.523725e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -2.419948e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -6.684024e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -6.349330e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -3.033592e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 6.980990e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.312077e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 5.107122e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.736899e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -1.994189e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.534670e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -1.401150e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 6.745354e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.472028e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 4.123783e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 4.851539e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 1.728971e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -6.141935e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -3.603610e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -2.184777e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 4.043118e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -3.329639e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -2.801178e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -2.787543e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 9.081862e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -8.478039e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -3.578073e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -1.357067e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -4.076101e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -6.433314e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -1.756312e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 8.554722e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -2.320342e-12 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -1.017063e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.312077e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.517292e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -1.224053e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.461577e-11 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 5.481998e-13 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.811460e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -1.604021e-09 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.982530e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.388991e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.407282e-12 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 3.238821e-11 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 7.741192e-13 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 9.637265e-11 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -5.805019e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -3.670922e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -1.934391e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -4.928897e-11 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 3.683666e-11 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -1.581385e-11 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 9.323923e-13 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -1.483232e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 2.715105e-11 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -2.466424e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 2.586415e-12 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -1.362798e-10 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 6.617729e-12 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -1.195521e-11 0.000000e+00 0.000000e+00
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+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -1.404294e-11 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 5.107122e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -1.224053e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.253235e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -2.992115e-12 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -6.451591e-14 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 8.499695e-11 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -3.613860e-11 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.345923e-10 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -6.495014e-11 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -5.128804e-12 0.000000e+00 0.000000e+00
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+2.700000e+01 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 5.318347e-11 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -5.962086e-12 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 3.985637e-12 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -1.860441e-11 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 2.480658e-11 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 7.204137e-13 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -3.917023e-13 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 6.775931e-11 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -9.466349e-12 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 3.514686e-11 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -1.298919e-11 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -3.709991e-11 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 4.218501e-11 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -1.119831e-11 0.000000e+00 0.000000e+00
+2.700000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 1.484641e-13 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -6.684024e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 8.554722e-12 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -1.195521e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.379461e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.565018e-12 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -1.711414e-13 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.723811e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -8.450253e-12 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -3.493527e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -1.707474e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -6.162480e-12 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.108370e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 -1.379577e-13 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 1.707789e-12 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -2.849998e-12 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 1.947572e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 2.639510e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 1.359413e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -1.100228e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -1.384622e-12 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 3.976581e-13 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -2.208516e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 1.166729e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 6.340580e-12 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -3.720051e-13 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 1.536237e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -1.119831e-11 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 9.116224e-12 0.000000e+00 0.000000e+00
+2.800000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -4.303299e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -6.349330e-12 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -2.320342e-12 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -7.844340e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -6.431426e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -3.599808e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.427053e-14 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.139760e-12 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 2.945694e-12 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.765438e-12 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.249316e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -4.103260e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 2.423283e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 2.854527e-14 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -6.703714e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 3.909370e-12 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -5.646785e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -2.155997e-12 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -7.767500e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 2.486548e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 1.025067e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -3.103640e-14 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 1.068582e-12 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 2.124450e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 1.868414e-14 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 1.575530e-12 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 1.898804e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 1.484641e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -4.303299e-13 0.000000e+00 0.000000e+00
+2.900000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 9.322478e-14 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d114-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d114-x01-y01
+Title=Table 114
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 1.786780e-03 6.387973e-05 6.387973e-05
+6.000000e+01 2.000000e+01 2.000000e+01 4.160210e-03 1.165669e-04 1.165669e-04
+1.000000e+02 2.000000e+01 2.000000e+01 4.371330e-03 8.978331e-05 8.978331e-05
+1.400000e+02 2.000000e+01 2.000000e+01 3.260890e-03 6.617705e-05 6.617705e-05
+1.800000e+02 2.000000e+01 2.000000e+01 2.147130e-03 4.057961e-05 4.057961e-05
+2.200000e+02 2.000000e+01 2.000000e+01 1.288160e-03 3.779956e-05 3.779956e-05
+2.600000e+02 2.000000e+01 2.000000e+01 7.887480e-04 2.349881e-05 2.349881e-05
+3.050000e+02 2.500000e+01 2.500000e+01 4.345030e-04 1.801881e-05 1.801881e-05
+3.550000e+02 2.500000e+01 2.500000e+01 2.329900e-04 1.069334e-05 1.069334e-05
+4.150000e+02 3.500000e+01 3.500000e+01 1.046370e-04 7.349004e-06 7.349004e-06
+6.250000e+02 1.750000e+02 1.750000e+02 1.639340e-05 1.401960e-06 1.401960e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d115-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d115-x01-y01
+Title=Table 115
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 1.512260e-03 7.917137e-05 7.917137e-05
+6.000000e+01 2.000000e+01 2.000000e+01 3.525470e-03 7.128106e-05 7.128106e-05
+1.000000e+02 2.000000e+01 2.000000e+01 3.679640e-03 4.458436e-05 4.458436e-05
+1.400000e+02 2.000000e+01 2.000000e+01 2.748240e-03 7.796551e-05 7.796551e-05
+1.800000e+02 2.000000e+01 2.000000e+01 1.749460e-03 3.916154e-05 3.916154e-05
+2.200000e+02 2.000000e+01 2.000000e+01 1.059410e-03 4.156549e-05 4.156549e-05
+2.600000e+02 2.000000e+01 2.000000e+01 6.318280e-04 2.224493e-05 2.224493e-05
+3.050000e+02 2.500000e+01 2.500000e+01 3.606850e-04 1.587843e-05 1.587843e-05
+3.550000e+02 2.500000e+01 2.500000e+01 1.891140e-04 1.121318e-05 1.121318e-05
+4.150000e+02 3.500000e+01 3.500000e+01 8.882800e-05 6.449359e-06 6.449359e-06
+6.250000e+02 1.750000e+02 1.750000e+02 1.157330e-05 9.317233e-07 9.317233e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d116-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d116-x01-y01
+Title=Table 116
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 1.004600e-03 4.487427e-05 4.487427e-05
+6.000000e+01 2.000000e+01 2.000000e+01 2.340940e-03 6.382545e-05 6.382545e-05
+1.000000e+02 2.000000e+01 2.000000e+01 2.394640e-03 5.665180e-05 5.665180e-05
+1.400000e+02 2.000000e+01 2.000000e+01 1.835650e-03 5.287824e-05 5.287824e-05
+1.800000e+02 2.000000e+01 2.000000e+01 1.190590e-03 4.492004e-05 4.492004e-05
+2.200000e+02 2.000000e+01 2.000000e+01 7.398310e-04 2.449860e-05 2.449860e-05
+2.600000e+02 2.000000e+01 2.000000e+01 4.299650e-04 2.042261e-05 2.042261e-05
+3.050000e+02 2.500000e+01 2.500000e+01 2.374540e-04 1.088879e-05 1.088879e-05
+3.550000e+02 2.500000e+01 2.500000e+01 1.181930e-04 7.779316e-06 7.779316e-06
+4.150000e+02 3.500000e+01 3.500000e+01 5.124200e-05 4.529827e-06 4.529827e-06
+6.250000e+02 1.750000e+02 1.750000e+02 7.429800e-06 1.111800e-06 1.111800e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d117-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d117-x01-y01
+Title=Table 117
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e+01 2.000000e+01 2.000000e+01 2.150270e-04 1.628276e-05 1.628276e-05
+6.000000e+01 2.000000e+01 2.000000e+01 4.811020e-04 2.180719e-05 2.180719e-05
+1.000000e+02 2.000000e+01 2.000000e+01 5.309000e-04 2.621558e-05 2.621558e-05
+1.400000e+02 2.000000e+01 2.000000e+01 4.232610e-04 2.802484e-05 2.802484e-05
+1.800000e+02 2.000000e+01 2.000000e+01 2.741490e-04 1.570555e-05 1.570555e-05
+2.200000e+02 2.000000e+01 2.000000e+01 1.651350e-04 9.514393e-06 9.514393e-06
+2.600000e+02 2.000000e+01 2.000000e+01 9.963800e-05 7.802218e-06 7.802218e-06
+3.050000e+02 2.500000e+01 2.500000e+01 5.633900e-05 5.825026e-06 5.825026e-06
+3.550000e+02 2.500000e+01 2.500000e+01 2.748600e-05 4.014649e-06 4.014649e-06
+4.150000e+02 3.500000e+01 3.500000e+01 1.191730e-05 2.232599e-06 2.232599e-06
+6.250000e+02 1.750000e+02 1.750000e+02 1.165800e-06 3.167620e-07 3.167620e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d118-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d118-x01-y01
+Title=Table 118
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 4.080980e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.131354e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.859981e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -7.699541e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.241188e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -3.420126e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -9.686130e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.657353e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 5.491590e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -8.511889e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -1.383909e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 2.576633e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 2.895283e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 1.034148e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -6.390908e-10 0.000000e+00 0.000000e+00
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+4.300000e+01 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 -2.998339e-11 0.000000e+00 0.000000e+00
+4.300000e+01 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 7.572359e-13 0.000000e+00 0.000000e+00
+4.300000e+01 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 6.050325e-12 0.000000e+00 0.000000e+00
+4.300000e+01 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 -6.476394e-12 0.000000e+00 0.000000e+00
+4.300000e+01 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 -4.735619e-12 0.000000e+00 0.000000e+00
+4.300000e+01 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 1.064279e-12 0.000000e+00 0.000000e+00
+4.300000e+01 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 4.984500e-12 0.000000e+00 0.000000e+00
+4.300000e+01 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 -3.435791e-16 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -8.058116e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -2.211509e-11 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -2.486490e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.422549e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -2.328412e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -1.713342e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.683521e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 7.000721e-13 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.695709e-13 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 6.136538e-14 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 1.978510e-13 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -1.399054e-11 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 -6.508203e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -9.939726e-13 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 1.423252e-11 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 5.896033e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 3.220621e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 3.856742e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -1.479325e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 4.652538e-13 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 6.457495e-13 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 8.725574e-14 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -1.039540e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -1.002822e-11 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 5.966649e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -7.250226e-13 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -1.726245e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 1.092997e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 4.363540e-13 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 8.019229e-13 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 9.120487e-13 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 9.266590e-13 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 -6.757203e-14 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 -1.108106e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 2.373394e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 1.392368e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 3.955382e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 1.625621e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 -9.763493e-15 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 7.889567e-13 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 1.041159e-12 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 7.148995e-13 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 -3.435791e-16 0.000000e+00 0.000000e+00
+4.400000e+01 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 1.003487e-13 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d119-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d119-x01-y01
+Title=Table 119
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.854880e-03 6.144677e-05 6.144677e-05
+3.000000e-01 1.000000e-01 1.000000e-01 1.800110e-03 5.171032e-05 5.171032e-05
+5.000000e-01 1.000000e-01 1.000000e-01 1.718760e-03 5.239667e-05 5.239667e-05
+7.000000e-01 1.000000e-01 1.000000e-01 1.610880e-03 6.969381e-05 6.969381e-05
+9.000000e-01 1.000000e-01 1.000000e-01 1.377670e-03 5.084578e-05 5.084578e-05
+1.100000e+00 1.000000e-01 1.000000e-01 1.083440e-03 3.715404e-05 3.715404e-05
+1.300000e+00 1.000000e-01 1.000000e-01 8.149800e-04 3.033943e-05 3.033943e-05
+1.500000e+00 1.000000e-01 1.000000e-01 5.092390e-04 2.391357e-05 2.391357e-05
+2.000000e+00 4.000000e-01 4.000000e-01 8.935200e-05 8.661922e-06 8.661922e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d120-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d120-x01-y01
+Title=Table 120
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 2.139330e-03 3.881280e-05 3.881280e-05
+3.000000e-01 1.000000e-01 1.000000e-01 2.035690e-03 3.226491e-05 3.226491e-05
+5.000000e-01 1.000000e-01 1.000000e-01 1.848170e-03 3.374617e-05 3.374617e-05
+7.000000e-01 1.000000e-01 1.000000e-01 1.586190e-03 3.606452e-05 3.606452e-05
+9.000000e-01 1.000000e-01 1.000000e-01 1.279350e-03 3.168390e-05 3.168390e-05
+1.100000e+00 1.000000e-01 1.000000e-01 9.228400e-04 3.546022e-05 3.546022e-05
+1.300000e+00 1.000000e-01 1.000000e-01 6.127690e-04 2.559944e-05 2.559944e-05
+1.500000e+00 1.000000e-01 1.000000e-01 3.334920e-04 2.147394e-05 2.147394e-05
+2.000000e+00 4.000000e-01 4.000000e-01 4.474400e-05 4.575693e-06 4.575693e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d121-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d121-x01-y01
+Title=Table 121
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 9.567510e-04 2.199007e-05 2.199007e-05
+3.000000e-01 1.000000e-01 1.000000e-01 8.837370e-04 1.887624e-05 1.887624e-05
+5.000000e-01 1.000000e-01 1.000000e-01 7.598700e-04 3.182911e-05 3.182911e-05
+7.000000e-01 1.000000e-01 1.000000e-01 6.141290e-04 2.883176e-05 2.883176e-05
+9.000000e-01 1.000000e-01 1.000000e-01 4.643800e-04 1.823351e-05 1.823351e-05
+1.100000e+00 1.000000e-01 1.000000e-01 2.921490e-04 1.444688e-05 1.444688e-05
+1.300000e+00 1.000000e-01 1.000000e-01 1.653830e-04 1.438766e-05 1.438766e-05
+1.500000e+00 1.000000e-01 1.000000e-01 7.995200e-05 6.095386e-06 6.095386e-06
+2.000000e+00 4.000000e-01 4.000000e-01 1.012840e-05 1.170261e-06 1.170261e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d122-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d122-x01-y01
+Title=Table 122
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.000000e-01 1.000000e-01 1.000000e-01 1.006070e-04 3.929034e-06 3.929034e-06
+3.000000e-01 1.000000e-01 1.000000e-01 9.442900e-05 4.751394e-06 4.751394e-06
+5.000000e-01 1.000000e-01 1.000000e-01 7.708500e-05 3.550436e-06 3.550436e-06
+7.000000e-01 1.000000e-01 1.000000e-01 5.620500e-05 3.104128e-06 3.104128e-06
+9.000000e-01 1.000000e-01 1.000000e-01 3.477100e-05 2.229612e-06 2.229612e-06
+1.100000e+00 1.000000e-01 1.000000e-01 2.120150e-05 1.560523e-06 1.560523e-06
+1.300000e+00 1.000000e-01 1.000000e-01 1.038600e-05 1.336320e-06 1.336320e-06
+1.900000e+00 5.000000e-01 5.000000e-01 9.165200e-07 1.744081e-07 1.744081e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d123-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d123-x01-y01
+Title=Table 123
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 3.776365e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.218141e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.308037e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 9.131074e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.193799e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.225433e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.763903e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -1.031014e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.254928e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 9.140402e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -1.352896e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -3.132959e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 -7.942113e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -4.611701e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -7.496544e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -9.181976e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -8.301392e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -9.924407e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -9.314496e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -5.809094e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 3.543157e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -9.576065e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -5.348887e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -4.090634e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -8.416696e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -1.699751e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -1.029035e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -1.228432e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -6.912607e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -2.185124e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 -8.115449e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 -1.100540e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 -1.726732e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 -2.240316e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 -2.901552e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.218141e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.673596e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.903451e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.529955e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.301602e-09 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 7.902627e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.767206e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -7.380913e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.103755e-11 0.000000e+00 0.000000e+00
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+3.500000e+01 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 9.544003e-13 0.000000e+00 0.000000e+00
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+3.500000e+01 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -3.996777e-14 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 2.551771e-13 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 3.302000e-13 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 1.892623e-13 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 -2.573629e-14 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 8.966007e-14 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 5.161789e-14 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 4.387315e-15 0.000000e+00 0.000000e+00
+3.500000e+01 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 3.041782e-14 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d124-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d124-x01-y01
+Title=Table 124
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 1.081770e-05 1.116305e-06 1.116305e-06
+3.950000e+02 3.500000e+01 3.500000e+01 2.089900e-05 5.133533e-07 5.133533e-07
+4.650000e+02 3.500000e+01 3.500000e+01 1.164885e-05 3.340415e-07 3.340415e-07
+5.400000e+02 4.000000e+01 4.000000e+01 6.575330e-06 1.947909e-07 1.947909e-07
+6.300000e+02 5.000000e+01 5.000000e+01 3.546310e-06 1.708608e-07 1.708608e-07
+7.400000e+02 6.000000e+01 6.000000e+01 1.674650e-06 9.050114e-08 9.050114e-08
+9.000000e+02 1.000000e+02 1.000000e+02 6.210800e-07 4.792630e-08 4.792630e-08
+1.500000e+03 5.000000e+02 5.000000e+02 6.074700e-08 1.078848e-08 1.078848e-08
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d125-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d125-x01-y01
+Title=Table 125
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.300000e+02 3.000000e+01 3.000000e+01 1.181870e-06 1.194200e-07 1.194200e-07
+3.950000e+02 3.500000e+01 3.500000e+01 1.110830e-05 3.235109e-07 3.235109e-07
+4.650000e+02 3.500000e+01 3.500000e+01 1.753310e-05 5.057581e-07 5.057581e-07
+5.400000e+02 4.000000e+01 4.000000e+01 1.221319e-05 3.234910e-07 3.234910e-07
+6.300000e+02 5.000000e+01 5.000000e+01 6.614580e-06 1.915840e-07 1.915840e-07
+7.400000e+02 6.000000e+01 6.000000e+01 3.319840e-06 1.701601e-07 1.701601e-07
+9.000000e+02 1.000000e+02 1.000000e+02 1.313190e-06 7.114460e-08 7.114460e-08
+1.500000e+03 5.000000e+02 5.000000e+02 1.270680e-07 1.584140e-08 1.584140e-08
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d126-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d126-x01-y01
+Title=Table 126
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.650000e+02 6.500000e+01 6.500000e+01 2.852100e-07 6.428580e-08 6.428580e-08
+4.650000e+02 3.500000e+01 3.500000e+01 1.812310e-06 1.084400e-07 1.084400e-07
+5.400000e+02 4.000000e+01 4.000000e+01 4.768360e-06 1.658899e-07 1.658899e-07
+6.300000e+02 5.000000e+01 5.000000e+01 4.694150e-06 1.816214e-07 1.816214e-07
+7.400000e+02 6.000000e+01 6.000000e+01 2.621910e-06 1.034759e-07 1.034759e-07
+9.000000e+02 1.000000e+02 1.000000e+02 1.102340e-06 6.394204e-08 6.394204e-08
+1.100000e+03 1.000000e+02 1.000000e+02 3.816900e-07 3.684022e-08 3.684022e-08
+1.600000e+03 4.000000e+02 4.000000e+02 5.559500e-08 8.997321e-09 8.997321e-09
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d127-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d127-x01-y01
+Title=Table 127
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+3.650000e+02 6.500000e+01 6.500000e+01 6.152500e-09 2.125730e-09 2.125730e-09
+4.650000e+02 3.500000e+01 3.500000e+01 4.153700e-08 7.242938e-09 7.242938e-09
+5.400000e+02 4.000000e+01 4.000000e+01 7.602600e-08 1.194093e-08 1.194093e-08
+6.300000e+02 5.000000e+01 5.000000e+01 1.529780e-07 1.002501e-08 1.002501e-08
+7.400000e+02 6.000000e+01 6.000000e+01 2.492460e-07 1.033068e-08 1.033068e-08
+9.000000e+02 1.000000e+02 1.000000e+02 1.850150e-07 8.807415e-09 8.807415e-09
+1.100000e+03 1.000000e+02 1.000000e+02 8.819600e-08 5.470060e-09 5.470060e-09
+1.600000e+03 4.000000e+02 4.000000e+02 2.087250e-08 1.541529e-09 1.541529e-09
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d128-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d128-x01-y01
+Title=Table 128
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.246031e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -5.871869e-15 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -2.282227e-13 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.644856e-14 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 5.363709e-14 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -2.009563e-14 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -8.969477e-15 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.389790e-15 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 5.240880e-14 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 5.572466e-14 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -3.754383e-13 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -1.470688e-13 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 -4.453834e-14 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 3.469729e-14 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -1.019108e-14 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -9.047944e-15 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -1.038457e-14 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -2.565875e-15 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 3.778614e-14 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -1.201668e-13 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -1.504074e-14 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 4.929365e-15 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -1.976858e-15 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -2.193959e-15 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -4.159175e-16 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 1.565199e-15 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -2.843741e-16 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -1.351426e-15 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -4.610175e-15 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 2.988475e-16 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 -2.524977e-15 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 -3.154888e-16 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -5.871869e-15 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.635288e-13 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 4.674062e-14 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -4.444696e-14 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -4.086556e-14 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -7.618857e-15 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.078029e-15 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 1.051661e-15 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 1.304482e-14 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 8.698594e-15 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -2.365645e-16 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -5.515528e-14 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 -1.019163e-14 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -1.763144e-14 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -1.032516e-14 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 8.983123e-16 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 5.294984e-15 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 9.874138e-15 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -1.282436e-14 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 6.037974e-15 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -1.135161e-14 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -2.030644e-15 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -6.070682e-15 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -8.802201e-17 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -2.242967e-16 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -8.078469e-16 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -2.387431e-15 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -1.734508e-15 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -2.056438e-16 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -1.157197e-15 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 -3.197328e-16 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 -6.516204e-17 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -2.282227e-13 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 4.674062e-14 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.115860e-13 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -3.407746e-15 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -1.751391e-14 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 3.144691e-15 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 4.029386e-15 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -8.696558e-16 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.259899e-14 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -9.815857e-15 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 7.416622e-14 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.103114e-14 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 -1.129445e-14 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -5.996708e-15 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 4.715451e-15 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 4.565686e-16 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 5.818218e-15 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -3.758282e-15 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -1.772532e-14 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 2.430101e-14 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -1.159274e-14 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -1.215667e-15 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 1.712469e-15 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 8.323493e-16 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -6.744424e-17 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -3.848779e-16 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -2.292564e-16 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 4.402332e-16 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 9.423229e-17 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -9.002965e-16 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 4.580692e-17 0.000000e+00 0.000000e+00
+3.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 5.489499e-17 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 3.644856e-14 0.000000e+00 0.000000e+00
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+4.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -3.407746e-15 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 3.794355e-14 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.363344e-14 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.143051e-15 0.000000e+00 0.000000e+00
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+4.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -3.155089e-14 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -7.671981e-15 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 1.272025e-15 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 4.300575e-15 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 9.732195e-16 0.000000e+00 0.000000e+00
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+4.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 7.966976e-15 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -1.223790e-14 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -2.456377e-15 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 3.143470e-15 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 2.226067e-15 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 5.033463e-16 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 5.242101e-17 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -1.089265e-16 0.000000e+00 0.000000e+00
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+3.200000e+01 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -7.094995e-17 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 1.246721e-16 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 2.193892e-17 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 1.146510e-17 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -3.062567e-18 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -2.600733e-18 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -2.297379e-19 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 1.759640e-18 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 4.283598e-18 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -1.774315e-19 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 1.046575e-18 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 3.198320e-18 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 3.740832e-19 0.000000e+00 0.000000e+00
+3.200000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 2.376182e-18 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d129-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d129-x01-y01
+Title=Table 129
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 3.155360e-03 7.127487e-05 7.127487e-05
+6.250000e+01 1.250000e+01 1.250000e+01 2.583450e-03 3.119509e-05 3.119509e-05
+8.750000e+01 1.250000e+01 1.250000e+01 1.611160e-03 2.454776e-05 2.454776e-05
+1.250000e+02 2.500000e+01 2.500000e+01 7.126340e-04 1.272893e-05 1.272893e-05
+1.750000e+02 2.500000e+01 2.500000e+01 2.221250e-04 7.321556e-06 7.321556e-06
+2.750000e+02 7.500000e+01 7.500000e+01 3.294310e-05 1.456788e-06 1.456788e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d130-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d130-x01-y01
+Title=Table 130
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 2.966370e-03 8.924819e-05 8.924819e-05
+6.250000e+01 1.250000e+01 1.250000e+01 2.665310e-03 3.294780e-05 3.294780e-05
+8.750000e+01 1.250000e+01 1.250000e+01 1.697923e-03 2.606810e-05 2.606810e-05
+1.250000e+02 2.500000e+01 2.500000e+01 7.277120e-04 1.385875e-05 1.385875e-05
+1.750000e+02 2.500000e+01 2.500000e+01 2.210790e-04 7.019024e-06 7.019024e-06
+2.750000e+02 7.500000e+01 7.500000e+01 3.812780e-05 1.509668e-06 1.509668e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d131-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d131-x01-y01
+Title=Table 131
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 2.973890e-03 9.042059e-05 9.042059e-05
+6.250000e+01 1.250000e+01 1.250000e+01 2.986680e-03 3.567072e-05 3.567072e-05
+8.750000e+01 1.250000e+01 1.250000e+01 1.748406e-03 2.718404e-05 2.718404e-05
+1.250000e+02 2.500000e+01 2.500000e+01 7.368630e-04 1.048736e-05 1.048736e-05
+1.750000e+02 2.500000e+01 2.500000e+01 2.289520e-04 7.865666e-06 7.865666e-06
+2.750000e+02 7.500000e+01 7.500000e+01 4.388270e-05 2.292192e-06 2.292192e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d132-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d132-x01-y01
+Title=Table 132
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 5.977030e-03 7.121406e-05 7.121406e-05
+6.250000e+01 1.250000e+01 1.250000e+01 1.531310e-03 3.992202e-05 3.992202e-05
+8.750000e+01 1.250000e+01 1.250000e+01 4.225970e-04 1.301916e-05 1.301916e-05
+1.750000e+02 7.500000e+01 7.500000e+01 3.521120e-05 1.684435e-06 1.684435e-06
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d133-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d133-x01-y01
+Title=Table 133
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 1.416891e-03 4.371272e-05 4.371272e-05
+6.250000e+01 1.250000e+01 1.250000e+01 8.728580e-04 2.781029e-05 2.781029e-05
+8.750000e+01 1.250000e+01 1.250000e+01 6.007570e-04 1.596852e-05 1.596852e-05
+1.125000e+02 1.250000e+01 1.250000e+01 4.170970e-04 1.383738e-05 1.383738e-05
+1.375000e+02 1.250000e+01 1.250000e+01 2.903010e-04 7.684216e-06 7.684216e-06
+1.625000e+02 1.250000e+01 1.250000e+01 2.118100e-04 6.183044e-06 6.183044e-06
+1.875000e+02 1.250000e+01 1.250000e+01 1.491190e-04 4.736508e-06 4.736508e-06
+2.250000e+02 2.500000e+01 2.500000e+01 9.883600e-05 3.572361e-06 3.572361e-06
+2.850000e+02 3.500000e+01 3.500000e+01 5.012000e-05 2.280339e-06 2.280339e-06
+4.100000e+02 9.000000e+01 9.000000e+01 1.629180e-05 5.812610e-07 5.812610e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d134-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d134-x01-y01
+Title=Table 134
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 8.500720e-04 4.292911e-05 4.292911e-05
+6.250000e+01 1.250000e+01 1.250000e+01 3.546460e-04 2.447837e-05 2.447837e-05
+8.750000e+01 1.250000e+01 1.250000e+01 1.730900e-04 1.232829e-05 1.232829e-05
+1.125000e+02 1.250000e+01 1.250000e+01 8.916200e-05 7.351872e-06 7.351872e-06
+1.375000e+02 1.250000e+01 1.250000e+01 4.754100e-05 3.773271e-06 3.773271e-06
+1.650000e+02 1.500000e+01 1.500000e+01 2.604980e-05 1.996935e-06 1.996935e-06
+2.650000e+02 8.500000e+01 8.500000e+01 5.718600e-06 4.814880e-07 4.814880e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d135-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d135-x01-y01
+Title=Table 135
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 3.365160e-04 2.588492e-05 2.588492e-05
+6.250000e+01 1.250000e+01 1.250000e+01 1.002690e-04 1.110877e-05 1.110877e-05
+8.750000e+01 1.250000e+01 1.250000e+01 3.441580e-05 4.546328e-06 4.546328e-06
+1.750000e+02 7.500000e+01 7.500000e+01 4.681900e-06 5.727370e-07 5.727370e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d136-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d136-x01-y01
+Title=Table 136
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 1.062310e-04 1.258593e-05 1.258593e-05
+6.250000e+01 1.250000e+01 1.250000e+01 2.323460e-05 3.652470e-06 3.652470e-06
+8.750000e+01 1.250000e+01 1.250000e+01 6.059400e-06 1.167814e-06 1.167814e-06
+1.500000e+02 5.000000e+01 5.000000e+01 9.119400e-07 2.069670e-07 2.069670e-07
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d137-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d137-x01-y01
+Title=Table 137
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 5.080098e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 -1.582690e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -5.801137e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -4.555330e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -2.179568e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -3.972119e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 3.867489e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -9.185752e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -6.975119e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -6.131535e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -1.455563e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -1.451984e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 2.036512e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 1.971816e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -4.900229e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -2.092413e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -4.252143e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -1.594672e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 1.143472e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -3.210865e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -1.802465e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -2.197435e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -9.238728e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -7.099522e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -4.308999e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -5.014076e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -2.613080e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -2.378796e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -1.786170e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 2.611480e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 1.286570e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 -2.606635e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 -6.608015e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 -3.235052e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 4.774584e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 -1.655948e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 -4.544323e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 -2.662829e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 -8.857128e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 -3.687111e-10 0.000000e+00 0.000000e+00
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+1.000000e+00 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 -2.739591e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 -4.627983e-12 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 -1.728062e-10 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.500000e+01 0.000000e+00 0.000000e+00 -5.805731e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.600000e+01 0.000000e+00 0.000000e+00 -2.365267e-11 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.700000e+01 0.000000e+00 0.000000e+00 -4.494893e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 -1.582690e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 9.734431e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -2.240237e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.177977e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -7.789666e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -5.416041e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.685902e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 6.256305e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -4.137780e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -9.363220e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -7.641260e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -1.989808e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 8.600037e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 4.167610e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -6.865025e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 -1.159745e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -5.855860e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 -1.076303e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -2.550200e-11 0.000000e+00 0.000000e+00
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+2.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -7.018213e-12 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 2.101475e-10 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 9.516258e-11 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 1.985802e-11 0.000000e+00 0.000000e+00
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+3.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 5.808739e-11 0.000000e+00 0.000000e+00
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+4.700000e+01 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 1.086975e-12 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 4.058505e-13 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 4.576069e-13 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 2.375508e-13 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 5.701415e-14 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 3.574244e-14 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 1.590769e-12 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 3.612195e-13 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 2.577784e-13 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 5.292752e-14 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 9.156780e-13 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.500000e+01 0.000000e+00 0.000000e+00 1.878252e-13 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.600000e+01 0.000000e+00 0.000000e+00 1.106563e-13 0.000000e+00 0.000000e+00
+4.700000e+01 0.000000e+00 0.000000e+00 4.700000e+01 0.000000e+00 0.000000e+00 4.283471e-14 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d138-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d138-x01-y01
+Title=Table 138
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 1.250000e-01 1.250000e-01 1.339935e-01 1.528663e-03 1.528663e-03
+3.750000e-01 1.250000e-01 1.250000e-01 1.312880e-01 1.697377e-03 1.697377e-03
+6.250000e-01 1.250000e-01 1.250000e-01 1.251600e-01 1.670493e-03 1.670493e-03
+8.750000e-01 1.250000e-01 1.250000e-01 1.133845e-01 1.416930e-03 1.416930e-03
+1.125000e+00 1.250000e-01 1.250000e-01 9.965680e-02 1.233882e-03 1.233882e-03
+1.375000e+00 1.250000e-01 1.250000e-01 8.131440e-02 1.404282e-03 1.404282e-03
+1.625000e+00 1.250000e-01 1.250000e-01 6.614010e-02 9.299968e-04 9.299968e-04
+1.875000e+00 1.250000e-01 1.250000e-01 5.272320e-02 9.597804e-04 9.597804e-04
+2.125000e+00 1.250000e-01 1.250000e-01 3.907650e-02 9.074036e-04 9.074036e-04
+2.375000e+00 1.250000e-01 1.250000e-01 1.623900e-02 5.108518e-04 5.108518e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d139-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d139-x01-y01
+Title=Table 139
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 1.250000e-01 1.250000e-01 1.418739e-01 1.771700e-03 1.771700e-03
+3.750000e-01 1.250000e-01 1.250000e-01 1.377542e-01 1.448638e-03 1.448638e-03
+6.250000e-01 1.250000e-01 1.250000e-01 1.281322e-01 1.541674e-03 1.541674e-03
+8.750000e-01 1.250000e-01 1.250000e-01 1.163785e-01 1.520110e-03 1.520110e-03
+1.125000e+00 1.250000e-01 1.250000e-01 9.725130e-02 1.196501e-03 1.196501e-03
+1.375000e+00 1.250000e-01 1.250000e-01 7.823070e-02 1.420301e-03 1.420301e-03
+1.625000e+00 1.250000e-01 1.250000e-01 6.181820e-02 9.508876e-04 9.508876e-04
+1.875000e+00 1.250000e-01 1.250000e-01 4.844930e-02 1.432459e-03 1.432459e-03
+2.125000e+00 1.250000e-01 1.250000e-01 3.450880e-02 1.027163e-03 1.027163e-03
+2.375000e+00 1.250000e-01 1.250000e-01 1.432730e-02 5.985075e-04 5.985075e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d140-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d140-x01-y01
+Title=Table 140
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 1.250000e-01 1.250000e-01 1.361946e-01 2.076549e-03 2.076549e-03
+3.750000e-01 1.250000e-01 1.250000e-01 1.325464e-01 2.160056e-03 2.160056e-03
+6.250000e-01 1.250000e-01 1.250000e-01 1.233359e-01 1.808521e-03 1.808521e-03
+8.750000e-01 1.250000e-01 1.250000e-01 1.126029e-01 1.707627e-03 1.707627e-03
+1.125000e+00 1.250000e-01 1.250000e-01 1.010820e-01 2.721702e-03 2.721702e-03
+1.375000e+00 1.250000e-01 1.250000e-01 8.056830e-02 1.203846e-03 1.203846e-03
+1.625000e+00 1.250000e-01 1.250000e-01 6.593030e-02 1.429656e-03 1.429656e-03
+1.875000e+00 1.250000e-01 1.250000e-01 5.227950e-02 1.335466e-03 1.335466e-03
+2.125000e+00 1.250000e-01 1.250000e-01 3.953580e-02 1.318252e-03 1.318252e-03
+2.375000e+00 1.250000e-01 1.250000e-01 1.786430e-02 8.083891e-04 8.083891e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d141-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d141-x01-y01
+Title=Table 141
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 1.250000e-01 1.250000e-01 1.280956e-01 2.443122e-03 2.443122e-03
+3.750000e-01 1.250000e-01 1.250000e-01 1.242814e-01 1.790128e-03 1.790128e-03
+6.250000e-01 1.250000e-01 1.250000e-01 1.171574e-01 1.840210e-03 1.840210e-03
+8.750000e-01 1.250000e-01 1.250000e-01 1.096565e-01 1.699088e-03 1.699088e-03
+1.125000e+00 1.250000e-01 1.250000e-01 9.925130e-02 1.424719e-03 1.424719e-03
+1.375000e+00 1.250000e-01 1.250000e-01 8.403550e-02 1.237955e-03 1.237955e-03
+1.625000e+00 1.250000e-01 1.250000e-01 7.039560e-02 1.461737e-03 1.461737e-03
+1.875000e+00 1.250000e-01 1.250000e-01 5.886910e-02 1.215180e-03 1.215180e-03
+2.125000e+00 1.250000e-01 1.250000e-01 4.738390e-02 1.398376e-03 1.398376e-03
+2.375000e+00 1.250000e-01 1.250000e-01 2.232640e-02 9.222794e-04 9.222794e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d142-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d142-x01-y01
+Title=Table 142
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 1.250000e-01 1.250000e-01 4.346800e-02 1.256695e-03 1.256695e-03
+3.750000e-01 1.250000e-01 1.250000e-01 4.332370e-02 1.289344e-03 1.289344e-03
+6.250000e-01 1.250000e-01 1.250000e-01 4.287420e-02 9.957425e-04 9.957425e-04
+8.750000e-01 1.250000e-01 1.250000e-01 4.336810e-02 9.461113e-04 9.461113e-04
+1.125000e+00 1.250000e-01 1.250000e-01 4.139470e-02 1.432200e-03 1.432200e-03
+1.375000e+00 1.250000e-01 1.250000e-01 3.931450e-02 9.530416e-04 9.530416e-04
+1.625000e+00 1.250000e-01 1.250000e-01 3.738950e-02 1.055016e-03 1.055016e-03
+1.875000e+00 1.250000e-01 1.250000e-01 3.643970e-02 1.374976e-03 1.374976e-03
+2.125000e+00 1.250000e-01 1.250000e-01 3.262600e-02 1.088528e-03 1.088528e-03
+2.375000e+00 1.250000e-01 1.250000e-01 1.757790e-02 6.070584e-04 6.070584e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d143-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d143-x01-y01
+Title=Table 143
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 1.250000e-01 1.250000e-01 1.500310e-02 1.138210e-03 1.138210e-03
+3.750000e-01 1.250000e-01 1.250000e-01 1.546530e-02 9.301825e-04 9.301825e-04
+6.250000e-01 1.250000e-01 1.250000e-01 1.460130e-02 1.131137e-03 1.131137e-03
+8.750000e-01 1.250000e-01 1.250000e-01 1.465380e-02 1.066661e-03 1.066661e-03
+1.125000e+00 1.250000e-01 1.250000e-01 1.446370e-02 9.964070e-04 9.964070e-04
+1.375000e+00 1.250000e-01 1.250000e-01 1.351250e-02 7.302541e-04 7.302541e-04
+1.625000e+00 1.250000e-01 1.250000e-01 1.309870e-02 7.425245e-04 7.425245e-04
+1.875000e+00 1.250000e-01 1.250000e-01 1.236660e-02 8.059969e-04 8.059969e-04
+2.125000e+00 1.250000e-01 1.250000e-01 1.111920e-02 6.155176e-04 6.155176e-04
+2.375000e+00 1.250000e-01 1.250000e-01 6.027900e-03 3.678679e-04 3.678679e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d144-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d144-x01-y01
+Title=Table 144
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-01 2.500000e-01 2.500000e-01 4.528440e-03 4.651723e-04 4.651723e-04
+7.500000e-01 2.500000e-01 2.500000e-01 4.625240e-03 3.595151e-04 3.595151e-04
+1.250000e+00 2.500000e-01 2.500000e-01 4.367270e-03 3.641296e-04 3.641296e-04
+1.750000e+00 2.500000e-01 2.500000e-01 3.825620e-03 3.143769e-04 3.143769e-04
+2.250000e+00 2.500000e-01 2.500000e-01 2.553460e-03 2.241173e-04 2.241173e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d145-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d145-x01-y01
+Title=Table 145
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-01 2.500000e-01 2.500000e-01 1.259400e-03 1.781216e-04 1.781216e-04
+7.500000e-01 2.500000e-01 2.500000e-01 1.288000e-03 1.529951e-04 1.529951e-04
+1.250000e+00 2.500000e-01 2.500000e-01 1.269280e-03 1.294214e-04 1.294214e-04
+1.750000e+00 2.500000e-01 2.500000e-01 1.011120e-03 1.537524e-04 1.537524e-04
+2.250000e+00 2.500000e-01 2.500000e-01 6.812900e-04 1.090781e-04 1.090781e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d146-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d146-x01-y01
+Title=Table 146
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.336714e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.524912e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -6.934124e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 1.011974e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.687082e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -6.036137e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.297713e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -3.151982e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -3.741756e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -1.075654e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 5.275788e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -1.267357e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 8.830591e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 5.335544e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 4.273083e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 7.448878e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -5.519557e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 8.989836e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -7.654165e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -3.336708e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 7.068837e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 1.054146e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 2.835229e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 1.136506e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -4.954651e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -4.323610e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -3.383585e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -1.246535e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -4.082469e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -4.629092e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 2.886245e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 7.660117e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 8.419394e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 -5.251534e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 1.802729e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 1.763884e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 -2.329829e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 -1.608003e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 -7.552254e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 6.244225e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 -2.110342e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 -2.619585e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 -2.063799e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 2.019710e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.500000e+01 0.000000e+00 0.000000e+00 1.372067e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.600000e+01 0.000000e+00 0.000000e+00 -1.430953e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.700000e+01 0.000000e+00 0.000000e+00 -5.978436e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.800000e+01 0.000000e+00 0.000000e+00 -8.393578e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.900000e+01 0.000000e+00 0.000000e+00 -3.819434e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+01 0.000000e+00 0.000000e+00 -3.685608e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.100000e+01 0.000000e+00 0.000000e+00 -2.092634e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.200000e+01 0.000000e+00 0.000000e+00 -3.308772e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.300000e+01 0.000000e+00 0.000000e+00 -1.794115e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.400000e+01 0.000000e+00 0.000000e+00 -1.039647e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.500000e+01 0.000000e+00 0.000000e+00 -3.509610e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.600000e+01 0.000000e+00 0.000000e+00 -4.491555e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.700000e+01 0.000000e+00 0.000000e+00 -2.917134e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.800000e+01 0.000000e+00 0.000000e+00 -4.503144e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.900000e+01 0.000000e+00 0.000000e+00 -4.437409e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+01 0.000000e+00 0.000000e+00 -1.414330e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.100000e+01 0.000000e+00 0.000000e+00 -1.129639e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.200000e+01 0.000000e+00 0.000000e+00 -1.897969e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.300000e+01 0.000000e+00 0.000000e+00 -2.506256e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.400000e+01 0.000000e+00 0.000000e+00 -1.547999e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.500000e+01 0.000000e+00 0.000000e+00 -7.616153e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.600000e+01 0.000000e+00 0.000000e+00 -5.418736e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.700000e+01 0.000000e+00 0.000000e+00 -4.468201e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.800000e+01 0.000000e+00 0.000000e+00 -9.346425e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.900000e+01 0.000000e+00 0.000000e+00 -4.655100e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+01 0.000000e+00 0.000000e+00 -4.687851e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.524912e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.881080e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -5.060913e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -2.324466e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -5.723768e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -7.848403e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -6.038469e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -8.759401e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -6.521970e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 -4.919685e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 4.681778e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -3.794702e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 4.266879e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -4.241318e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 8.964477e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 8.209736e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 -5.026687e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 1.008843e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -6.749475e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -3.833821e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 6.048920e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 1.683525e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -7.241384e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 1.458454e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -1.676190e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 3.219252e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -3.490300e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 2.650783e-08 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -1.265421e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -5.406229e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 4.603554e-07 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 5.748225e-07 0.000000e+00 0.000000e+00
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+7.000000e+01 0.000000e+00 0.000000e+00 5.500000e+01 0.000000e+00 0.000000e+00 8.545918e-08 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.600000e+01 0.000000e+00 0.000000e+00 4.751941e-08 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.700000e+01 0.000000e+00 0.000000e+00 2.501695e-08 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.800000e+01 0.000000e+00 0.000000e+00 1.534863e-08 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 5.900000e+01 0.000000e+00 0.000000e+00 3.848489e-08 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.000000e+01 0.000000e+00 0.000000e+00 1.238681e-08 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.100000e+01 0.000000e+00 0.000000e+00 4.231473e-08 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.200000e+01 0.000000e+00 0.000000e+00 2.148537e-08 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.300000e+01 0.000000e+00 0.000000e+00 3.056315e-08 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.400000e+01 0.000000e+00 0.000000e+00 2.358371e-08 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.500000e+01 0.000000e+00 0.000000e+00 1.376285e-08 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.600000e+01 0.000000e+00 0.000000e+00 1.607616e-08 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.700000e+01 0.000000e+00 0.000000e+00 9.735476e-09 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.800000e+01 0.000000e+00 0.000000e+00 7.454935e-09 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 6.900000e+01 0.000000e+00 0.000000e+00 1.455031e-08 0.000000e+00 0.000000e+00
+7.000000e+01 0.000000e+00 0.000000e+00 7.000000e+01 0.000000e+00 0.000000e+00 1.189874e-08 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d147-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d147-x01-y01
+Title=Table 147
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-01 1.000000e-01 1.000000e-01 5.171530e-02 1.465602e-03 1.465602e-03
+7.000000e-01 1.000000e-01 1.000000e-01 8.598030e-02 1.600279e-03 1.600279e-03
+9.000000e-01 1.000000e-01 1.000000e-01 9.094190e-02 1.233591e-03 1.233591e-03
+1.100000e+00 1.000000e-01 1.000000e-01 9.891510e-02 1.773143e-03 1.773143e-03
+1.300000e+00 1.000000e-01 1.000000e-01 1.034895e-01 1.730041e-03 1.730041e-03
+1.500000e+00 1.000000e-01 1.000000e-01 1.026197e-01 1.226060e-03 1.226060e-03
+1.800000e+00 2.000000e-01 2.000000e-01 9.875690e-02 1.306968e-03 1.306968e-03
+2.250000e+00 2.500000e-01 2.500000e-01 8.079670e-02 1.048708e-03 1.048708e-03
+3.500000e+00 1.000000e+00 1.000000e+00 1.403211e-02 2.190474e-04 2.190474e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d148-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d148-x01-y01
+Title=Table 148
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-01 1.000000e-01 1.000000e-01 6.884850e-02 1.351067e-03 1.351067e-03
+7.000000e-01 1.000000e-01 1.000000e-01 1.152239e-01 1.822598e-03 1.822598e-03
+9.000000e-01 1.000000e-01 1.000000e-01 1.316238e-01 2.015661e-03 2.015661e-03
+1.100000e+00 1.000000e-01 1.000000e-01 1.453677e-01 1.444507e-03 1.444507e-03
+1.300000e+00 1.000000e-01 1.000000e-01 1.443730e-01 2.066308e-03 2.066308e-03
+1.500000e+00 1.000000e-01 1.000000e-01 1.313009e-01 1.702870e-03 1.702870e-03
+1.800000e+00 2.000000e-01 2.000000e-01 9.723440e-02 1.362052e-03 1.362052e-03
+2.250000e+00 2.500000e-01 2.500000e-01 4.520160e-02 9.164282e-04 9.164282e-04
+3.500000e+00 1.000000e+00 1.000000e+00 3.088740e-03 1.623901e-04 1.623901e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d149-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d149-x01-y01
+Title=Table 149
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-01 1.000000e-01 1.000000e-01 7.366830e-02 1.607795e-03 1.607795e-03
+7.000000e-01 1.000000e-01 1.000000e-01 1.240500e-01 1.903627e-03 1.903627e-03
+9.000000e-01 1.000000e-01 1.000000e-01 1.405911e-01 2.013665e-03 2.013665e-03
+1.100000e+00 1.000000e-01 1.000000e-01 1.538211e-01 2.174177e-03 2.174177e-03
+1.300000e+00 1.000000e-01 1.000000e-01 1.467922e-01 1.513595e-03 1.513595e-03
+1.500000e+00 1.000000e-01 1.000000e-01 1.265347e-01 1.890658e-03 1.890658e-03
+1.800000e+00 2.000000e-01 2.000000e-01 8.622810e-02 1.071687e-03 1.071687e-03
+2.250000e+00 2.500000e-01 2.500000e-01 3.956940e-02 7.524715e-04 7.524715e-04
+3.500000e+00 1.000000e+00 1.000000e+00 4.193760e-03 2.262471e-04 2.262471e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d150-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d150-x01-y01
+Title=Table 150
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-01 1.000000e-01 1.000000e-01 8.049420e-02 1.695895e-03 1.695895e-03
+7.000000e-01 1.000000e-01 1.000000e-01 1.303036e-01 2.027871e-03 2.027871e-03
+9.000000e-01 1.000000e-01 1.000000e-01 1.410818e-01 2.209648e-03 2.209648e-03
+1.100000e+00 1.000000e-01 1.000000e-01 1.519725e-01 2.893888e-03 2.893888e-03
+1.300000e+00 1.000000e-01 1.000000e-01 1.459043e-01 1.662441e-03 1.662441e-03
+1.500000e+00 1.000000e-01 1.000000e-01 1.256951e-01 2.081609e-03 2.081609e-03
+1.800000e+00 2.000000e-01 2.000000e-01 8.359250e-02 1.121372e-03 1.121372e-03
+2.250000e+00 2.500000e-01 2.500000e-01 3.747250e-02 6.657983e-04 6.657983e-04
+3.500000e+00 1.000000e+00 1.000000e+00 3.941040e-03 1.601030e-04 1.601030e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d151-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d151-x01-y01
+Title=Table 151
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-01 1.000000e-01 1.000000e-01 4.387010e-02 1.249513e-03 1.249513e-03
+7.000000e-01 1.000000e-01 1.000000e-01 5.663250e-02 1.575955e-03 1.575955e-03
+9.000000e-01 1.000000e-01 1.000000e-01 5.086660e-02 1.411200e-03 1.411200e-03
+1.100000e+00 1.000000e-01 1.000000e-01 4.901460e-02 1.599730e-03 1.599730e-03
+1.300000e+00 1.000000e-01 1.000000e-01 4.581880e-02 1.542875e-03 1.542875e-03
+1.500000e+00 1.000000e-01 1.000000e-01 4.323740e-02 1.218254e-03 1.218254e-03
+1.800000e+00 2.000000e-01 2.000000e-01 3.614210e-02 9.111496e-04 9.111496e-04
+2.250000e+00 2.500000e-01 2.500000e-01 2.555670e-02 5.840407e-04 5.840407e-04
+3.500000e+00 1.000000e+00 1.000000e+00 4.598960e-03 1.226247e-04 1.226247e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d152-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d152-x01-y01
+Title=Table 152
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+5.000000e-01 1.000000e-01 1.000000e-01 1.653150e-02 9.461322e-04 9.461322e-04
+7.000000e-01 1.000000e-01 1.000000e-01 2.137420e-02 1.221115e-03 1.221115e-03
+9.000000e-01 1.000000e-01 1.000000e-01 1.851820e-02 9.951797e-04 9.951797e-04
+1.100000e+00 1.000000e-01 1.000000e-01 1.733060e-02 8.781401e-04 8.781401e-04
+1.300000e+00 1.000000e-01 1.000000e-01 1.592950e-02 8.411874e-04 8.411874e-04
+1.500000e+00 1.000000e-01 1.000000e-01 1.423020e-02 7.506609e-04 7.506609e-04
+1.800000e+00 2.000000e-01 2.000000e-01 1.189160e-02 6.318799e-04 6.318799e-04
+2.250000e+00 2.500000e-01 2.500000e-01 7.973100e-03 4.192560e-04 4.192560e-04
+3.500000e+00 1.000000e+00 1.000000e+00 1.459310e-03 8.213200e-05 8.213200e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d153-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d153-x01-y01
+Title=Table 153
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+6.000000e-01 2.000000e-01 2.000000e-01 5.607010e-03 5.079786e-04 5.079786e-04
+1.000000e+00 2.000000e-01 2.000000e-01 5.407540e-03 3.985634e-04 3.985634e-04
+1.400000e+00 2.000000e-01 2.000000e-01 4.692290e-03 3.492596e-04 3.492596e-04
+1.800000e+00 2.000000e-01 2.000000e-01 3.695850e-03 3.464200e-04 3.464200e-04
+2.250000e+00 2.500000e-01 2.500000e-01 2.392080e-03 2.020679e-04 2.020679e-04
+3.500000e+00 1.000000e+00 1.000000e+00 4.669700e-04 3.444790e-05 3.444790e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d154-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d154-x01-y01
+Title=Table 154
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+6.000000e-01 2.000000e-01 2.000000e-01 1.504800e-03 1.684702e-04 1.684702e-04
+1.000000e+00 2.000000e-01 2.000000e-01 1.523450e-03 1.687013e-04 1.687013e-04
+1.400000e+00 2.000000e-01 2.000000e-01 1.273520e-03 1.442600e-04 1.442600e-04
+1.800000e+00 2.000000e-01 2.000000e-01 1.005450e-03 1.518049e-04 1.518049e-04
+2.250000e+00 2.500000e-01 2.500000e-01 6.964700e-04 9.498920e-05 9.498920e-05
+3.500000e+00 1.000000e+00 1.000000e+00 1.271460e-04 1.679225e-05 1.679225e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d155-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d155-x01-y01
+Title=Table 155
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.148087e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.664308e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 -2.713160e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.075975e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.010691e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -4.045333e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -3.135105e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -2.950689e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 -1.078475e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.411472e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -6.760692e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 -4.733959e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 -1.024502e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -1.317488e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 8.359895e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 2.850319e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 2.163586e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 6.406390e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 1.254137e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -7.119767e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -6.819430e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -3.386362e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -3.026732e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -6.204503e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 6.064810e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 -4.500513e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 2.365094e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 1.002352e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -8.274649e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -7.796374e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 -1.035964e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 -1.552174e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 -7.060634e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 3.463977e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 4.465964e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 -7.541572e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 5.197508e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 2.750782e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 3.536928e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 -3.150535e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 -3.891480e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 1.795533e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 -1.004687e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 2.736017e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.500000e+01 0.000000e+00 0.000000e+00 1.782045e-09 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.600000e+01 0.000000e+00 0.000000e+00 5.788511e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.700000e+01 0.000000e+00 0.000000e+00 8.055891e-08 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.800000e+01 0.000000e+00 0.000000e+00 3.058926e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.900000e+01 0.000000e+00 0.000000e+00 4.954382e-07 0.000000e+00 0.000000e+00
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+6.600000e+01 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 -6.831512e-09 0.000000e+00 0.000000e+00
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+6.600000e+01 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 -6.868470e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 -5.661746e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 -1.125277e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 5.693809e-10 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 5.504937e-10 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 1.775911e-10 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 -1.695995e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 2.000000e+01 0.000000e+00 0.000000e+00 -1.351014e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 2.100000e+01 0.000000e+00 0.000000e+00 -1.578658e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 2.200000e+01 0.000000e+00 0.000000e+00 -1.571107e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 2.300000e+01 0.000000e+00 0.000000e+00 -7.877103e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 2.400000e+01 0.000000e+00 0.000000e+00 -2.535282e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 2.500000e+01 0.000000e+00 0.000000e+00 -6.771459e-11 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 2.600000e+01 0.000000e+00 0.000000e+00 8.063501e-10 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 2.700000e+01 0.000000e+00 0.000000e+00 -8.765680e-10 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 2.800000e+01 0.000000e+00 0.000000e+00 -1.516744e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 2.900000e+01 0.000000e+00 0.000000e+00 -1.694574e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.000000e+01 0.000000e+00 0.000000e+00 -1.706271e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.100000e+01 0.000000e+00 0.000000e+00 -9.220813e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.200000e+01 0.000000e+00 0.000000e+00 -1.755540e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.300000e+01 0.000000e+00 0.000000e+00 -1.132880e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.400000e+01 0.000000e+00 0.000000e+00 -1.084170e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.500000e+01 0.000000e+00 0.000000e+00 -7.507393e-10 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.600000e+01 0.000000e+00 0.000000e+00 -4.788121e-11 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.700000e+01 0.000000e+00 0.000000e+00 1.032961e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.800000e+01 0.000000e+00 0.000000e+00 1.120890e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 3.900000e+01 0.000000e+00 0.000000e+00 9.064943e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.000000e+01 0.000000e+00 0.000000e+00 1.490508e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.100000e+01 0.000000e+00 0.000000e+00 1.601087e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.200000e+01 0.000000e+00 0.000000e+00 4.751884e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.300000e+01 0.000000e+00 0.000000e+00 7.933337e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.400000e+01 0.000000e+00 0.000000e+00 2.948782e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.500000e+01 0.000000e+00 0.000000e+00 1.142721e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.600000e+01 0.000000e+00 0.000000e+00 5.133948e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.700000e+01 0.000000e+00 0.000000e+00 1.432628e-08 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.800000e+01 0.000000e+00 0.000000e+00 9.618826e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 4.900000e+01 0.000000e+00 0.000000e+00 7.262354e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.000000e+01 0.000000e+00 0.000000e+00 4.120936e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.100000e+01 0.000000e+00 0.000000e+00 6.196338e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.200000e+01 0.000000e+00 0.000000e+00 6.351988e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.300000e+01 0.000000e+00 0.000000e+00 3.760236e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.400000e+01 0.000000e+00 0.000000e+00 6.704728e-10 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.500000e+01 0.000000e+00 0.000000e+00 3.465285e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.600000e+01 0.000000e+00 0.000000e+00 3.775272e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.700000e+01 0.000000e+00 0.000000e+00 3.622742e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.800000e+01 0.000000e+00 0.000000e+00 3.773848e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 5.900000e+01 0.000000e+00 0.000000e+00 2.298681e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.000000e+01 0.000000e+00 0.000000e+00 2.235501e-10 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.100000e+01 0.000000e+00 0.000000e+00 1.546201e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.200000e+01 0.000000e+00 0.000000e+00 1.344177e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.300000e+01 0.000000e+00 0.000000e+00 1.375659e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.400000e+01 0.000000e+00 0.000000e+00 2.025012e-09 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.500000e+01 0.000000e+00 0.000000e+00 7.079899e-10 0.000000e+00 0.000000e+00
+6.600000e+01 0.000000e+00 0.000000e+00 6.600000e+01 0.000000e+00 0.000000e+00 2.819732e-10 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d156-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d156-x01-y01
+Title=Table 156
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 5.663010e-02 2.249600e-03 2.249600e-03
+4.500000e-01 1.500000e-01 1.500000e-01 1.207707e-01 2.235260e-03 2.235260e-03
+7.500000e-01 1.500000e-01 1.500000e-01 1.319355e-01 1.539666e-03 1.539666e-03
+1.050000e+00 1.500000e-01 1.500000e-01 1.207689e-01 1.754194e-03 1.754194e-03
+1.350000e+00 1.500000e-01 1.500000e-01 1.018095e-01 1.659492e-03 1.659492e-03
+1.750000e+00 2.500000e-01 2.500000e-01 6.632500e-02 1.464880e-03 1.464880e-03
+2.250000e+00 2.500000e-01 2.500000e-01 2.872820e-02 9.155350e-04 9.155350e-04
+3.500000e+00 1.000000e+00 1.000000e+00 4.157690e-03 2.005509e-04 2.005509e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d157-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d157-x01-y01
+Title=Table 157
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 5.764210e-02 1.540037e-03 1.540037e-03
+4.500000e-01 1.500000e-01 1.500000e-01 1.173136e-01 1.743879e-03 1.743879e-03
+7.500000e-01 1.500000e-01 1.500000e-01 1.275685e-01 1.490898e-03 1.490898e-03
+1.050000e+00 1.500000e-01 1.500000e-01 1.179419e-01 1.725362e-03 1.725362e-03
+1.350000e+00 1.500000e-01 1.500000e-01 1.033781e-01 1.468910e-03 1.468910e-03
+1.750000e+00 2.500000e-01 2.500000e-01 6.909530e-02 9.194108e-04 9.194108e-04
+2.250000e+00 2.500000e-01 2.500000e-01 2.975880e-02 8.039719e-04 8.039719e-04
+3.500000e+00 1.000000e+00 1.000000e+00 4.207600e-03 1.411286e-04 1.411286e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d158-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d158-x01-y01
+Title=Table 158
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 8.134320e-02 1.570134e-03 1.570134e-03
+4.500000e-01 1.500000e-01 1.500000e-01 1.489762e-01 2.610732e-03 2.610732e-03
+7.500000e-01 1.500000e-01 1.500000e-01 1.396084e-01 1.764542e-03 1.764542e-03
+1.050000e+00 1.500000e-01 1.500000e-01 1.113448e-01 2.088872e-03 2.088872e-03
+1.350000e+00 1.500000e-01 1.500000e-01 8.466080e-02 1.224964e-03 1.224964e-03
+1.750000e+00 2.500000e-01 2.500000e-01 5.318530e-02 9.825925e-04 9.825925e-04
+2.250000e+00 2.500000e-01 2.500000e-01 2.405140e-02 5.977315e-04 5.977315e-04
+3.500000e+00 1.000000e+00 1.000000e+00 3.744270e-03 1.645885e-04 1.645885e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d159-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d159-x01-y01
+Title=Table 159
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 2.833370e-02 9.094027e-04 9.094027e-04
+4.500000e-01 1.500000e-01 1.500000e-01 8.416290e-02 1.687078e-03 1.687078e-03
+7.500000e-01 1.500000e-01 1.500000e-01 1.170535e-01 1.727821e-03 1.727821e-03
+1.050000e+00 1.500000e-01 1.500000e-01 1.217668e-01 2.192640e-03 2.192640e-03
+1.350000e+00 1.500000e-01 1.500000e-01 1.135167e-01 1.338295e-03 1.338295e-03
+1.750000e+00 2.500000e-01 2.500000e-01 8.220290e-02 9.541612e-04 9.541612e-04
+2.250000e+00 2.500000e-01 2.500000e-01 4.090950e-02 7.387180e-04 7.387180e-04
+3.500000e+00 1.000000e+00 1.000000e+00 7.035010e-03 2.515541e-04 2.515541e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d160-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d160-x01-y01
+Title=Table 160
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 3.663290e-03 2.499054e-04 2.499054e-04
+4.500000e-01 1.500000e-01 1.500000e-01 1.098620e-02 4.875671e-04 4.875671e-04
+7.500000e-01 1.500000e-01 1.500000e-01 1.875370e-02 7.353088e-04 7.353088e-04
+1.050000e+00 1.500000e-01 1.500000e-01 2.400080e-02 7.632850e-04 7.632850e-04
+1.350000e+00 1.500000e-01 1.500000e-01 2.903880e-02 1.002065e-03 1.002065e-03
+1.750000e+00 2.500000e-01 2.500000e-01 3.588170e-02 1.120911e-03 1.120911e-03
+2.250000e+00 2.500000e-01 2.500000e-01 3.657010e-02 8.698322e-04 8.698322e-04
+3.500000e+00 1.000000e+00 1.000000e+00 1.583644e-02 3.914955e-04 3.914955e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d161-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d161-x01-y01
+Title=Table 161
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.500000e-01 1.500000e-01 1.500000e-01 1.519830e-03 1.292179e-04 1.292179e-04
+4.500000e-01 1.500000e-01 1.500000e-01 4.892210e-03 2.957045e-04 2.957045e-04
+7.500000e-01 1.500000e-01 1.500000e-01 8.314200e-03 5.631726e-04 5.631726e-04
+1.050000e+00 1.500000e-01 1.500000e-01 1.027960e-02 5.649370e-04 5.649370e-04
+1.350000e+00 1.500000e-01 1.500000e-01 1.172250e-02 6.647495e-04 6.647495e-04
+1.750000e+00 2.500000e-01 2.500000e-01 1.304180e-02 7.158281e-04 7.158281e-04
+2.250000e+00 2.500000e-01 2.500000e-01 1.203270e-02 7.730214e-04 7.730214e-04
+3.500000e+00 1.000000e+00 1.000000e+00 4.357520e-03 2.157326e-04 2.157326e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d162-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d162-x01-y01
+Title=Table 162
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e-01 2.000000e-01 2.000000e-01 5.709300e-04 8.489387e-05 8.489387e-05
+6.000000e-01 2.000000e-01 2.000000e-01 2.024000e-03 1.875505e-04 1.875505e-04
+1.000000e+00 2.000000e-01 2.000000e-01 3.139500e-03 2.589450e-04 2.589450e-04
+1.350000e+00 1.500000e-01 1.500000e-01 3.673940e-03 3.152094e-04 3.152094e-04
+1.750000e+00 2.500000e-01 2.500000e-01 4.037710e-03 3.369439e-04 3.369439e-04
+2.250000e+00 2.500000e-01 2.500000e-01 3.666750e-03 3.502490e-04 3.502490e-04
+3.500000e+00 1.000000e+00 1.000000e+00 1.287570e-03 1.009630e-04 1.009630e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d163-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d163-x01-y01
+Title=Table 163
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.000000e-01 2.000000e-01 2.000000e-01 1.347850e-04 2.758041e-05 2.758041e-05
+6.000000e-01 2.000000e-01 2.000000e-01 5.137000e-04 6.212723e-05 6.212723e-05
+1.000000e+00 2.000000e-01 2.000000e-01 8.601100e-04 9.747062e-05 9.747062e-05
+1.350000e+00 1.500000e-01 1.500000e-01 1.021470e-03 1.431850e-04 1.431850e-04
+1.750000e+00 2.500000e-01 2.500000e-01 1.132130e-03 1.428774e-04 1.428774e-04
+2.250000e+00 2.500000e-01 2.500000e-01 1.015960e-03 1.476785e-04 1.476785e-04
+3.500000e+00 1.000000e+00 1.000000e+00 3.576000e-04 4.586323e-05 4.586323e-05
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d164-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d164-x01-y01
+Title=Table 164
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 5.060592e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.677690e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 3.314674e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 -9.949595e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 -1.688724e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 -1.933392e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -1.028640e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 -2.096133e-07 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.059517e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 1.514635e-06 0.000000e+00 0.000000e+00
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+6.200000e+01 0.000000e+00 0.000000e+00 5.400000e+01 0.000000e+00 0.000000e+00 1.343800e-08 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.500000e+01 0.000000e+00 0.000000e+00 3.933162e-09 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.600000e+01 0.000000e+00 0.000000e+00 5.299416e-10 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.700000e+01 0.000000e+00 0.000000e+00 1.963860e-09 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.800000e+01 0.000000e+00 0.000000e+00 2.862782e-09 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 5.900000e+01 0.000000e+00 0.000000e+00 3.549086e-09 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 6.000000e+01 0.000000e+00 0.000000e+00 3.817743e-09 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 6.100000e+01 0.000000e+00 0.000000e+00 4.010602e-09 0.000000e+00 0.000000e+00
+6.200000e+01 0.000000e+00 0.000000e+00 6.200000e+01 0.000000e+00 0.000000e+00 2.103204e-09 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d165-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d165-x01-y01
+Title=Table 165
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 5.577590e-01 1.059801e-02 1.059801e-02
+6.250000e+01 1.250000e+01 1.250000e+01 6.782150e-01 7.500033e-03 7.500033e-03
+8.750000e+01 1.250000e+01 1.250000e+01 7.709720e-01 4.957190e-03 4.957190e-03
+1.125000e+02 1.250000e+01 1.250000e+01 8.347974e-01 3.470388e-03 3.470388e-03
+1.375000e+02 1.250000e+01 1.250000e+01 8.791183e-01 2.496571e-03 2.496571e-03
+1.625000e+02 1.250000e+01 1.250000e+01 9.099667e-01 2.148014e-03 2.148014e-03
+1.875000e+02 1.250000e+01 1.250000e+01 9.324658e-01 2.925689e-03 2.925689e-03
+2.250000e+02 2.500000e+01 2.500000e+01 9.483102e-01 1.537237e-03 1.537237e-03
+2.850000e+02 3.500000e+01 3.500000e+01 9.693249e-01 9.261378e-04 9.261378e-04
+4.100000e+02 9.000000e+01 9.000000e+01 9.842376e-01 5.800462e-04 5.800462e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d166-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d166-x01-y01
+Title=Table 166
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.123179e-04 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 7.548821e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 4.715930e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.775810e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.505921e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.168922e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.252186e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 5.485711e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 3.878770e-07 0.000000e+00 0.000000e+00
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+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 7.548821e-05 0.000000e+00 0.000000e+00
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+1.000000e+01 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 7.397121e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 6.369955e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 5.351241e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 8.445909e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 -2.143624e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 5.730970e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 2.267563e-07 0.000000e+00 0.000000e+00
+1.000000e+01 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 3.364303e-07 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d167-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d167-x01-y01
+Title=Table 167
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+4.000000e+01 1.000000e+01 1.000000e+01 8.489981e-01 8.219024e-03 8.219024e-03
+6.250000e+01 1.250000e+01 1.250000e+01 9.212536e-01 4.892428e-03 4.892428e-03
+8.750000e+01 1.250000e+01 1.250000e+01 9.589410e-01 2.661945e-03 2.661945e-03
+1.125000e+02 1.250000e+01 1.250000e+01 9.773325e-01 1.565449e-03 1.565449e-03
+1.375000e+02 1.250000e+01 1.250000e+01 9.868086e-01 8.954263e-04 8.954263e-04
+1.650000e+02 1.500000e+01 1.500000e+01 9.918597e-01 5.407493e-04 5.407493e-04
+2.650000e+02 8.500000e+01 8.500000e+01 9.951869e-01 3.738455e-04 3.738455e-04
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d168-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d168-x01-y01
+Title=Table 168
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 6.755243e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 3.753119e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.861882e-05 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 9.376576e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 4.691473e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.497898e-06 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.346053e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 3.753119e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 2.393609e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.181446e-05 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 6.175082e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 3.125216e-06 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.714497e-06 0.000000e+00 0.000000e+00
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+4.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.450746e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.185030e-06 0.000000e+00 0.000000e+00
+4.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 7.061626e-07 0.000000e+00 0.000000e+00
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+5.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.426898e-07 0.000000e+00 0.000000e+00
+5.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 2.731333e-07 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 2.497898e-06 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.714497e-06 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 1.068435e-06 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 7.061626e-07 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 4.426898e-07 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.923693e-07 0.000000e+00 0.000000e+00
+6.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.843927e-07 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 1.346053e-06 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 8.954704e-07 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 6.589205e-07 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 4.386503e-07 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 2.731333e-07 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 1.843927e-07 0.000000e+00 0.000000e+00
+7.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.397591e-07 0.000000e+00 0.000000e+00
+#END YODA_SCATTER3D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d169-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d169-x01-y01
+Title=Table 169
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+0.000000e+00 5.000000e-01 5.000000e-01 3.766910e+01 1.850684e+00 1.850684e+00
+1.000000e+00 5.000000e-01 5.000000e-01 1.982860e+01 1.152320e+00 1.152320e+00
+2.000000e+00 5.000000e-01 5.000000e-01 7.154580e+00 5.928247e-01 5.928247e-01
+3.000000e+00 5.000000e-01 5.000000e-01 2.274100e+00 2.486699e-01 2.486699e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d170-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d170-x01-y01
+Title=Table 170
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+0.000000e+00 5.000000e-01 5.000000e-01 4.587016e+01 1.358342e-01 1.358342e-01
+1.000000e+00 5.000000e-01 5.000000e-01 1.654690e+01 2.267046e+00 2.267046e+00
+2.000000e+00 5.000000e-01 5.000000e-01 4.181050e+00 1.007068e+00 1.007068e+00
+3.000000e+00 5.000000e-01 5.000000e-01 9.415900e-01 3.779727e-01 3.779727e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d171-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d171-x01-y01
+Title=Table 171
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+0.000000e+00 5.000000e-01 5.000000e-01 5.218540e+01 1.337238e-01 1.337238e-01
+1.000000e+00 5.000000e-01 5.000000e-01 1.279755e+01 4.266734e-02 4.266734e-02
+2.000000e+00 5.000000e-01 5.000000e-01 2.340400e+00 2.641804e+00 2.641804e+00
+3.000000e+00 5.000000e-01 5.000000e-01 3.844600e-01 7.849092e-01 7.849092e-01
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER2D /REF/CMS_2018_I1663958/d172-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d172-x01-y01
+Title=Table 172
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+0.000000e+00 5.000000e-01 5.000000e-01 5.653083e+01 2.123125e-01 2.123125e-01
+1.000000e+00 5.000000e-01 5.000000e-01 9.704280e+00 5.399692e-02 5.399692e-02
+2.000000e+00 5.000000e-01 5.000000e-01 1.337512e+00 1.351874e-02 1.351874e-02
+3.000000e+00 5.000000e-01 5.000000e-01 1.783000e-01 2.908975e+00 2.908975e+00
+#END YODA_SCATTER2D
+
+#BEGIN YODA_SCATTER3D /REF/CMS_2018_I1663958/d173-x01-y01
+IsRef=1
+Path=/REF/CMS_2018_I1663958/d173-x01-y01
+Title=Table 173
+Type=Scatter3D
+# xval xerr- xerr+ yval yerr- yerr+ zval zerr- zerr+
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 3.425082e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.643570e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 6.549355e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.140174e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 8.351122e-02 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 4.106647e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.413561e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.947316e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 8.400905e-02 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 2.216681e-02 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 4.666504e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 1.099926e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 2.102659e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 3.766698e-02 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 6.752634e-03 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 5.048787e+00 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.700000e+01 0.000000e+00 0.000000e+00 8.271261e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.800000e+01 0.000000e+00 0.000000e+00 1.268317e-01 0.000000e+00 0.000000e+00
+1.000000e+00 0.000000e+00 0.000000e+00 1.900000e+01 0.000000e+00 0.000000e+00 1.573923e-02 0.000000e+00 0.000000e+00
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+2.000000e+00 0.000000e+00 0.000000e+00 2.000000e+00 0.000000e+00 0.000000e+00 1.327835e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 6.030267e-01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 4.000000e+00 0.000000e+00 0.000000e+00 2.248930e-01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 5.000000e+00 0.000000e+00 0.000000e+00 1.085241e-01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 6.000000e+00 0.000000e+00 0.000000e+00 2.295885e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 7.000000e+00 0.000000e+00 0.000000e+00 1.133798e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 8.000000e+00 0.000000e+00 0.000000e+00 3.582168e-01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 9.000000e+00 0.000000e+00 0.000000e+00 8.891651e-02 0.000000e+00 0.000000e+00
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+2.000000e+00 0.000000e+00 0.000000e+00 1.100000e+01 0.000000e+00 0.000000e+00 2.796851e+00 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.200000e+01 0.000000e+00 0.000000e+00 8.797429e-01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.300000e+01 0.000000e+00 0.000000e+00 1.874219e-01 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.400000e+01 0.000000e+00 0.000000e+00 3.531572e-02 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.500000e+01 0.000000e+00 0.000000e+00 8.517564e-03 0.000000e+00 0.000000e+00
+2.000000e+00 0.000000e+00 0.000000e+00 1.600000e+01 0.000000e+00 0.000000e+00 3.140144e+00 0.000000e+00 0.000000e+00
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+#END YODA_SCATTER3D
diff --git a/analyses/pluginLHCf/LHCF_2015_I1351909.cc b/analyses/pluginLHCf/LHCF_2015_I1351909.cc
new file mode 100644
--- /dev/null
+++ b/analyses/pluginLHCf/LHCF_2015_I1351909.cc
@@ -0,0 +1,303 @@
+// -*- C++ -*-
+#include "Rivet/Analysis.hh"
+#include "Rivet/Projections/FinalState.hh"
+
+namespace Rivet {
+
+/// @brief Add a short analysis description here
+class LHCF_2015_I1351909 : public Analysis {
+public:
+
+ /// Constructor
+ DEFAULT_RIVET_ANALYSIS_CTOR(LHCF_2015_I1351909);
+
+ static constexpr bool lhcf_like = true;
+ static constexpr int ndecay = 1;
+ static constexpr int nbeam = 2;
+ static constexpr double D1_begin = 82000.; //mm 60000.; //mm
+ static constexpr double D1_end = 82000; //mm 90000.; //mm
+ static constexpr double IPtoLHCf = 141050.; //mm
+
+ /// @name Analysis methods
+
+ bool isParticleFromCollision(Particle p, vector<Particle> parents) {
+ bool beam[nbeam]={false};
+
+ if(parents.size()==nbeam) {
+ for ( int ipar=0; ipar < nbeam; ++ipar )
+ beam[ipar] = parents[ipar].genParticle()->is_beam();
+ if(beam[0] && beam[1])
+ return true;
+ }
+
+ return false;
+ }
+
+ bool isParticleFromDecay(Particle p, vector<Particle> parents) {
+ if(parents.size()==ndecay)
+ return true;
+ else
+ return false;
+ }
+
+ bool isDeviated(Particle p, Particle parent) { //Select/Remove particles decayed between IP and LHCf
+ GenVertex* pv = p.genParticle()->production_vertex();
+ assert(pv != NULL);
+
+ const double decay_vertex = pv->position().z()/mm;
+
+ const double parent_charge = PID::charge(parent.pid());
+ const double descendant_charge = PID::charge(p.pid());
+
+ if(parent_charge == 0) { //Particles produced by neutral parent decay
+ if(descendant_charge == 0) {
+ return false;
+ } else {
+ if(decay_vertex >= D1_end)
+ return false;
+ else
+ return true; //Remove charged descendants produced from decay before end of D1
+ }
+ } else { //Particles produced by charged parent decay
+ if(decay_vertex <= D1_begin) {
+ if(descendant_charge == 0)
+ return false;
+ else
+ return true; //Remove charged descendants produced from decay before end of D1
+ } else {
+ return true; //Remove particles produced by charged parent decay after begin of D1
+ }
+ }
+
+ return false;
+ }
+
+ bool isSameParticle(Particle p1, Particle p2) {
+ if(p1.pid() == p2.pid() &&
+ mom(p1).t() == mom(p2).t() &&
+ mom(p1).x() == mom(p2).x() &&
+ mom(p1).y() == mom(p2).y() &&
+ mom(p1).z() == mom(p2).z())
+ return true;
+ else
+ return false;
+ }
+
+ bool isAlreadyProcessed(Particle p, vector<Particle> list) {
+ for(unsigned int ipar=0; ipar<list.size(); ++ipar)
+ if(isSameParticle(p, list[ipar]))
+ return true;
+
+ return false;
+ }
+
+ /// This method return a fake pseudorapidity to check id decayed particle is in LHCf acceptance
+ double RecomputeEta(Particle p) {
+ GenVertex* pv = p.genParticle()->production_vertex();
+
+ const double x0 = pv->position().x()/mm;
+ const double y0 = pv->position().y()/mm;
+ const double z0 = pv->position().z()/mm;
+
+ const double px = p.px()/MeV;
+ const double py = p.py()/MeV;
+ const double pz = abs(p.pz()/MeV);
+
+ const double dist_to_lhcf = IPtoLHCf - z0;
+ const double x1 = x0 + (dist_to_lhcf * px/pz);
+ const double y1 = y0 + (dist_to_lhcf * py/pz);
+
+ const double r = sqrt(pow(x1, 2.)+pow(y1, 2.));
+ const double theta = atan(abs(r / IPtoLHCf));
+ const double pseudorapidity = - log (tan (theta/2.) );
+
+ return pseudorapidity;
+ }
+
+ /// Book histograms and initialise projections before the run
+ void init() {
+
+ // Initialise and register projections
+ // declare(FinalState("FS");
+ addProjection(FinalState(), "FS");
+
+ // Book histograms
+ book(_h_n_en_eta1, 1, 1, 1);
+ book(_h_n_en_eta2, 1, 1, 2);
+ book(_h_n_en_eta3, 1, 1, 3);
+
+ }
+
+ /// Perform the per-event analysis
+ void analyze(const Event& event) {
+
+ const FinalState &fs = applyProjection<FinalState> (event, "FS");
+ Particles fs_particles = fs.particles();
+
+ vector<Particle> processed_parents;
+ processed_parents.clear();
+
+ for (Particle& p: fs_particles ) {
+
+ if(p.pz()/GeV<0.) continue;
+
+ double eta = 0.;
+ double en = 0.;
+
+ if(lhcf_like) {
+ //======================================================================
+ //========== LHCf-like analysis ========================================
+ //======================================================================
+
+ vector<Particle> parents = p.parents();
+
+ if(isParticleFromCollision(p, parents)) { //Particles directly produced in collisions
+ if(!PID::isHadron(p.pid())) continue; //Remove non-hadron particles
+ if(PID::charge(p.pid()) != 0) continue; //Remove charged particles
+
+ eta = p.eta();
+ en = p.E()/GeV;
+ } else if(isParticleFromDecay(p, parents)) { //Particles produced from decay
+ GenVertex* pv = p.genParticle()->production_vertex();
+ assert(pv != NULL);
+
+ const double decay_vertex = pv->position().z()/mm;
+ Particle parent = parents[0];
+
+ if(decay_vertex < IPtoLHCf) { //If decay happens before LHCf we consider descendants
+ if(!PID::isHadron(p.pid())) continue; //Remove non-hadron descendants
+ if(isDeviated(p, parent)) continue; //Remove descendants deviated by D1
+
+ eta = RecomputeEta(p);
+ en = p.E()/GeV;
+ } else {//If decay happens after LHCf we consider parents
+ vector<Particle> ancestors;
+ ancestors.clear();
+
+ int ngeneration=0;
+ bool isValid=true;
+ bool isEnded=false;
+ while(!isEnded) //Loop over all generations in the decay
+ {
+ vector<Particle> temp_part;
+ temp_part.clear();
+ if(ngeneration==0) {
+ parent = parents[0];
+ temp_part = parent.parents();
+ }
+ else {
+ parent = ancestors[0];
+ temp_part = parent.parents();
+ }
+ ancestors.clear();
+ ancestors = temp_part;
+
+ Particle ancestor = ancestors[0];
+
+ if(isParticleFromCollision(parent, ancestors)) { //if we found first particles produced in collisions we consider them
+ isEnded=true;
+
+ if(!PID::isHadron(parent.pid())) isValid=false; //Remove non-hadron ancestors/parents
+ if(PID::charge(parent.pid()) != 0) isValid=false; //Remove charged ancestors/parents
+ if(isAlreadyProcessed(parent, processed_parents))
+ isValid=false; //Remove already processed ancestors/parents when looping other descendants
+ else
+ processed_parents.push_back(parent); //Fill ancestors/parents in the list
+
+ eta = parent.eta();
+ en = parent.E()/GeV;
+ } else if (isParticleFromDecay(parent, ancestors)) { //if we found first particles produced entering LHCf we consider them
+ GenVertex* pv_prev = parent.genParticle()->production_vertex();
+ assert(pv_prev != NULL);
+
+ const double previous_decay_vertex = pv_prev->position().z()/mm;
+
+ if(previous_decay_vertex < IPtoLHCf) {
+ isEnded=true;
+
+ if(!PID::isHadron(parent.pid())) isValid=false; //Remove non-hadron ancestors/parents
+ if(isDeviated(parent, ancestor)) isValid=false; //Remove ancestors/parents deviated by D1
+ if(isAlreadyProcessed(parent, processed_parents))
+ isValid=false; //Remove already processed ancestors/parents when looping other descendants
+ else
+ processed_parents.push_back(parent); //Fill ancestors/parents in the list
+
+ eta = RecomputeEta(parent);
+ en = parent.E()/GeV;
+ }
+ } else { //This condition should never happen
+ cout << "Looping over particles generation ended without match : Exit..." << endl;
+ exit(EXIT_FAILURE);
+ }
+
+ ++ngeneration;
+ }
+
+ if(!isValid) continue;
+ }
+ } else { //This condition should never happen
+ cout << "Particle seems not to be produced in collision or decay : Exit..." << endl;
+ exit(EXIT_FAILURE);
+ }
+
+ } else {
+ //======================================================================
+ //========== Only neutrons at IP =======================================
+ //======================================================================
+
+ vector<Particle> parents = p.parents();
+
+ //if(isParticleFromCollision(p, parents)) { //Particles directly produced in collisions
+ if(p.pid() != 2112 ) continue;
+
+ eta = p.eta();
+ en = p.E()/GeV;
+ //}
+ }
+
+ // Fill histograms
+ if( eta > 10.76 ){
+ _h_n_en_eta1->fill( en );
+
+ }else if(eta > 8.99 && eta < 9.22){
+ _h_n_en_eta2->fill( en );
+
+ }else if(eta > 8.81 && eta < 8.99){
+ _h_n_en_eta3->fill( en );
+
+ }
+ }
+ }
+
+
+ /// Normalise histograms etc., after the run
+ void finalize() {
+
+ scale(_h_n_en_eta1, crossSection()/millibarn/sumOfWeights()); // norm to cross section
+ scale(_h_n_en_eta2, crossSection()/millibarn/sumOfWeights()); // norm to cross section
+ scale(_h_n_en_eta3, crossSection()/millibarn/sumOfWeights()); // norm to cross section
+
+ }
+
+ //@}
+
+
+private:
+
+
+ /// @name Histograms
+ //@{
+ Histo1DPtr _h_n_en_eta1;
+ Histo1DPtr _h_n_en_eta2;
+ Histo1DPtr _h_n_en_eta3;
+ //@}
+
+
+};
+
+
+// The hook for the plugin system
+DECLARE_RIVET_PLUGIN(LHCF_2015_I1351909);
+
+
+}
diff --git a/analyses/pluginLHCf/LHCF_2015_I1351909.info b/analyses/pluginLHCf/LHCF_2015_I1351909.info
new file mode 100644
--- /dev/null
+++ b/analyses/pluginLHCf/LHCF_2015_I1351909.info
@@ -0,0 +1,39 @@
+Name: LHCF_2015_I1351909
+Year: 2015
+Summary: Measurement of very forward neutron energy spectra for 7 TeV proton-proton collisions at the Large Hadron Collider
+Experiment: LHCF
+Collider: LHC
+InspireID: 1351909
+Status: VALIDATED
+Authors:
+ - Eugenio Berti <eugenio.berti@fi.infn.it>
+ - LHCf collaboration <lhcf@isee.nagoya-u.ac.jp>
+Acknowledgements:
+ - Felix Riehn <felix.riehn@kit.edu>
+References:
+ - Phys. Lett. B 750 (2015) 360-366
+RunInfo: Differential production cross section of neutrons in p-p collisions in the very forward region expressed as a function of energy. Note that, being LHCf detector locate 140m away from IP, two additional effects must be taken into account. They are particles decay in the transport though the beam pipe and trajectories bending due to the dipole magnet. Because of them, the final energy spectra included about $0-6 ~ \%$ of other hadrons, mainly $\Lambda^{0}$ and $K^{0}$. These effects are considered in the Rivet code making use of some approximations that are able to reproduce the model distributions shown in the paper within 15% in most cases, depending on the model, the pseudorapidity region and the energy bin.
+NumEvents: 1000000
+NeedCrossSection: no
+Beams: [[p+, p+]]
+Energies: [[3500, 3500]]
+Description:
+ 'The Large Hadron Collider forward (LHCf) experiment is designed to use the LHC to verify the hadronic-interaction models used in cosmic-ray physics. Forward baryon production is one of the crucial points to understand the development of cosmic-ray showers. We report the neutron-energy spectra for LHC $\sqrt{s}$ = 7 TeV proton--proton collisions with the pseudo-rapidity $\eta$ ranging from 8.81 to 8.99, from 8.99 to 9.22, and from 10.76 to infinity. The measured energy spectra obtained from the two independent calorimeters of Arm1 and Arm2 show the same characteristic feature before unfolding the difference in the detector responses. We unfolded the measured spectra by using the multidimensional unfolding method based on Bayesian theory, and the unfolded spectra were compared with current hadronic-interaction models. The QGSJET II-03 model predicts a high neutron production rate at the highest pseudo-rapidity range similar to our results and the DPMJET 3.04 model describes our results well at the lower pseudo-rapidity ranges. However no model perfectly explains the experimental results in the whole pseudo-rapidity range. The experimental data indicate the most abundant neutron production rate relative to the photon production, which does not agree with predictions of the
+models.'
+BibKey: Adriani2015360
+BibTeX: '@article{Adriani2015360,
+ author = "Adriani, O. and others",
+ title = "{Measurement of very forward neutron energy spectra for 7 TeV proton–proton collisions at the Large Hadron Collider}",
+ collaboration = "LHCf",
+ journal = "Phys. Lett.",
+ volume = "B750",
+ year = "2015",
+ pages = "360-366",
+ doi = "10.1016/j.physletb.2015.09.041",
+ eprint = "1503.03505",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ reportNumber = "CERN-PH-EP-DRAFT-LHCF-2015-001, CERN-PH-EP-2015-056",
+ SLACcitation = "%%CITATION = ARXIV:1503.03505;%%"
+}'
+
diff --git a/analyses/pluginLHCf/LHCF_2015_I1351909.plot b/analyses/pluginLHCf/LHCF_2015_I1351909.plot
new file mode 100644
--- /dev/null
+++ b/analyses/pluginLHCf/LHCF_2015_I1351909.plot
@@ -0,0 +1,32 @@
+# BEGIN PLOT /LHCF_2015_I1351909/d01-x01-y01
+Title=pp$\to$n at $\sqrt{s}=7\,$TeV with $\eta>10.76$
+XLabel=Energy [GeV]
+YLabel=d$\sigma/$d$E$ [mb$/$GeV]
+LogY=0
+LegendXPos=0.1
+LegendYPos=0.95
+YMax=0.0005
+# + any additional plot settings you might like, see make-plots documentation
+# END PLOT
+
+# BEGIN PLOT /LHCF_2015_I1351909/d01-x01-y02
+Title=pp$\to$n at $\sqrt{s}=7\,$TeV with $8.99<\eta<9.22$
+XLabel=Energy [GeV]
+YLabel=d$\sigma/$d$E$ [mb$/$GeV]
+LogY=0
+LegendXPos=0.6
+LegendYPos=0.95
+# + any additional plot settings you might like, see make-plots documentation
+# END PLOT
+
+# BEGIN PLOT /LHCF_2015_I1351909/d01-x01-y03
+Title=pp$\to$n at $\sqrt{s}=7\,$TeV with $8.81<\eta<8.99$
+XLabel=Energy [GeV]
+YLabel=d$\sigma/$d$E$ [mb$/$GeV]
+LogY=0
+LegendXPos=0.6
+LegendYPos=0.95
+# + any additional plot settings you might like, see make-plots documentation
+# END PLOT
+
+# ... add more histograms as you need them ...
diff --git a/analyses/pluginLHCf/LHCF_2015_I1351909.yoda b/analyses/pluginLHCf/LHCF_2015_I1351909.yoda
new file mode 100644
--- /dev/null
+++ b/analyses/pluginLHCf/LHCF_2015_I1351909.yoda
@@ -0,0 +1,63 @@
+# BEGIN YODA_SCATTER2D /REF/LHCF_2015_I1351909/d01-x01-y01
+Path=/REF/LHCF_2015_I1351909/d01-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+600.0 100.0 100.0 5.91E-5 8.1E-6 8.1E-6
+800.0 100.0 100.0 7.48E-5 9.5E-6 9.5E-6
+1000.0 100.0 100.0 9.32E-5 1.54E-5 1.54E-5
+1200.0 100.0 100.0 1.26E-4 1.9E-5 1.9E-5
+1400.0 100.0 100.0 1.58E-4 3.2E-5 3.2E-5
+1600.0 100.0 100.0 1.95E-4 3.1E-5 3.1E-5
+1800.0 100.0 100.0 2.45E-4 3.5E-5 3.5E-5
+2000.0 100.0 100.0 2.72E-4 3.6E-5 3.6E-5
+2200.0 100.0 100.0 2.92E-4 2.7E-5 2.7E-5
+2400.0 100.0 100.0 2.98E-4 2.8E-5 2.8E-5
+2625.0 125.0 125.0 2.98E-4 3.4E-5 3.4E-5
+2875.0 125.0 125.0 2.82E-4 4.8E-5 4.8E-5
+3125.0 125.0 125.0 2.49E-4 7.8E-5 7.8E-5
+3375.0 125.0 125.0 2.32E-4 1.06E-4 1.06E-4
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/LHCF_2015_I1351909/d01-x01-y02
+Path=/REF/LHCF_2015_I1351909/d01-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+600.0 100.0 100.0 5.91E-4 6.6E-5 6.6E-5
+800.0 100.0 100.0 6.38E-4 8.2E-5 8.2E-5
+1000.0 100.0 100.0 7.7E-4 6.6E-5 6.6E-5
+1200.0 100.0 100.0 8.41E-4 7.5E-5 7.5E-5
+1400.0 100.0 100.0 9.18E-4 8.0E-5 8.0E-5
+1600.0 100.0 100.0 9.54E-4 9.2E-5 9.2E-5
+1800.0 100.0 100.0 9.03E-4 6.8E-5 6.8E-5
+2000.0 100.0 100.0 8.21E-4 8.1E-5 8.1E-5
+2200.0 100.0 100.0 6.9E-4 8.2E-5 8.2E-5
+2400.0 100.0 100.0 6.17E-4 5.2E-5 5.2E-5
+2625.0 125.0 125.0 4.21E-4 4.4E-5 4.4E-5
+2875.0 125.0 125.0 2.2E-4 6.8E-5 6.8E-5
+3125.0 125.0 125.0 1.1E-4 5.5E-5 5.5E-5
+3375.0 125.0 125.0 2.45E-5 1.7E-5 1.7E-5
+# END YODA_SCATTER2D
+
+
+# BEGIN YODA_SCATTER2D /REF/LHCF_2015_I1351909/d01-x01-y03
+Path=/REF/LHCF_2015_I1351909/d01-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+600.0 100.0 100.0 6.09E-4 8.4E-5 8.4E-5
+800.0 100.0 100.0 7.15E-4 6.7E-5 6.7E-5
+1000.0 100.0 100.0 8.6E-4 9.2E-5 9.2E-5
+1200.0 100.0 100.0 9.42E-4 1.05E-4 1.05E-4
+1400.0 100.0 100.0 9.71E-4 9.1E-5 9.1E-5
+1600.0 100.0 100.0 9.34E-4 5.9E-5 5.9E-5
+1800.0 100.0 100.0 8.12E-4 7.8E-5 7.8E-5
+2000.0 100.0 100.0 7.19E-4 6.8E-5 6.8E-5
+2200.0 100.0 100.0 5.81E-4 5.5E-5 5.5E-5
+2400.0 100.0 100.0 4.25E-4 5.3E-5 5.3E-5
+2625.0 125.0 125.0 2.94E-4 5.4E-5 5.4E-5
+2875.0 125.0 125.0 1.39E-4 6.5E-5 6.5E-5
+3125.0 125.0 125.0 6.07E-5 3.39E-5 3.39E-5
+3375.0 125.0 125.0 5.75E-6 3.76E-6 3.76E-6
+# END YODA_SCATTER2D
+
+
diff --git a/analyses/pluginLHCf/LHCF_2016_I1385877.cc b/analyses/pluginLHCf/LHCF_2016_I1385877.cc
new file mode 100644
--- /dev/null
+++ b/analyses/pluginLHCf/LHCF_2016_I1385877.cc
@@ -0,0 +1,230 @@
+// -*- C++ -*-
+#include "Rivet/Analysis.hh"
+#include "Rivet/Projections/Beam.hh"
+#include "Rivet/Tools/BinnedHistogram.hh"
+#include "Rivet/Projections/UnstableFinalState.hh"
+namespace Rivet {
+
+
+/// @brief Add a short analysis description here
+class LHCF_2016_I1385877 : public Analysis {
+public:
+
+ /// Constructor
+ DEFAULT_RIVET_ANALYSIS_CTOR(LHCF_2016_I1385877);
+
+ //In case of some models there can be very small value pT but greater than 0.
+ //In order to avoid unphysical behavior in the first bin a cutoff is needed
+ //If you are sure the model does not have this problem you can set pt_cutoff to 0.
+ const double pt_cutoff = 0.01;
+
+ /// @name Analysis methods
+ //@{
+
+ /// Book histograms and initialise projections before the run
+ void init() {
+
+ // Initialise and register projections
+ addProjection(UnstableFinalState(), "UFS");
+ addProjection(Beam(), "Beam");
+
+ // calculate beam rapidity
+ const Particle bm1 = beams().first;
+ const Particle bm2 = beams().second;
+ _beam_rap_1 = bm1.rap();
+ _beam_rap_2 = bm2.rap();
+ MSG_INFO("Beam 1 : momentum " << bm1.pz() << " PID " << bm1.pid() << " rapidity " << bm1.rap() );
+ MSG_INFO("Beam 2 : momentum " << bm2.pz() << " PID " << bm2.pid() << " rapidity " << bm2.rap() );
+ const double _sqrts = sqrtS();
+ MSG_INFO("CM energy: " << _sqrts );
+
+ _beam_rap = _beam_rap_1;
+ if(bm1.pid()==2212 && bm2.pid()==2212) { //p-p
+ _pp_Pb = true;
+ if( fuzzyEquals( _sqrts/GeV, 7000., 1E-3) ) {
+ book(_p_pi0_rap_apT, 1, 1, 2);
+
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 8.8, 9.0, book(tmp, 2, 1, 2));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.0, 9.2, book(tmp, 3, 1, 2));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.2, 9.4, book(tmp, 4, 1, 2));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.4, 9.6, book(tmp, 5, 1, 2));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.6, 9.8, book(tmp, 6, 1, 2));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.8, 10.0, book(tmp, 7, 1, 2));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 10.0, 10.2, book(tmp, 8, 1, 2));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 10.2, 10.4, book(tmp, 9, 1, 2));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 10.4, 10.6, book(tmp, 10, 1, 2));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 10.6, 10.8, book(tmp, 11, 1, 2));}
+
+ {Histo1DPtr tmp; _h_pi0_pT_pZ.add( 0.0, 0.2, book(tmp, 12, 1, 2));}
+ {Histo1DPtr tmp; _h_pi0_pT_pZ.add( 0.2, 0.4, book(tmp, 13, 1, 2));}
+ {Histo1DPtr tmp; _h_pi0_pT_pZ.add( 0.4, 0.6, book(tmp, 14, 1, 2));}
+ {Histo1DPtr tmp; _h_pi0_pT_pZ.add( 0.6, 0.8, book(tmp, 15, 1, 2));}
+ {Histo1DPtr tmp; _h_pi0_pT_pZ.add( 0.8, 1.0, book(tmp, 16, 1, 2));}
+
+ book(_h_pi0_rap, 21, 1, 2);
+
+ book(_p_pi0_raploss_apT, 22, 1, 2);
+ book(_h_pi0_raploss, 23, 1, 2);
+ } else if(fuzzyEquals( _sqrts/GeV, 2760., 1E-3) ){
+ book(_p_pi0_rap_apT, 1, 1, 1);
+
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 8.8, 9.0, book(tmp, 2, 1, 1));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.0, 9.2, book(tmp, 3, 1, 1));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.2, 9.4, book(tmp, 4, 1, 1));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.4, 9.6, book(tmp, 5, 1, 1));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.6, 9.8, book(tmp, 6, 1, 1));}
+
+ {Histo1DPtr tmp; _h_pi0_pT_pZ.add( 0.0, 0.2, book(tmp, 12, 1, 1));}
+ {Histo1DPtr tmp; _h_pi0_pT_pZ.add( 0.2, 0.4, book(tmp, 13, 1, 1));}
+
+ book(_h_pi0_rap, 21, 1, 1);
+
+ book(_p_pi0_raploss_apT, 22, 1, 1);
+ book(_h_pi0_raploss, 23, 1, 1);
+ }else{
+ MSG_INFO("p-p collisions : energy out of range!");
+ }
+ } else if (bm1.pid()==2212 && bm2.pid()==1000822080){ //p-Pb
+ _pp_Pb = false;
+ if( fuzzyEquals( _sqrts/sqrt(208.)/GeV, 5020., 1E-3) ) {
+ book(_p_pi0_rap_apT, 1, 1, 3);
+
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 8.8, 9.0, book(tmp, 2, 1, 3));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.0, 9.2, book(tmp, 3, 1, 3));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.2, 9.4, book(tmp, 4, 1, 3));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.4, 9.6, book(tmp, 5, 1, 3));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.6, 9.8, book(tmp, 6, 1, 3));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 9.8, 10.0, book(tmp, 7, 1, 3));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 10.0, 10.2, book(tmp, 8, 1, 3));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 10.2, 10.4, book(tmp, 9, 1, 3));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 10.4, 10.6, book(tmp, 10, 1, 3));}
+ {Histo1DPtr tmp; _h_pi0_rap_pT.add( 10.6, 10.8, book(tmp, 11, 1, 3));}
+
+ {Histo1DPtr tmp; _h_pi0_pT_pZ.add( 0.0, 0.2, book(tmp, 12, 1, 3));}
+ {Histo1DPtr tmp; _h_pi0_pT_pZ.add( 0.2, 0.4, book(tmp, 13, 1, 3));}
+ {Histo1DPtr tmp; _h_pi0_pT_pZ.add( 0.4, 0.6, book(tmp, 14, 1, 3));}
+ {Histo1DPtr tmp; _h_pi0_pT_pZ.add( 0.6, 0.8, book(tmp, 15, 1, 3));}
+ {Histo1DPtr tmp; _h_pi0_pT_pZ.add( 0.8, 1.0, book(tmp, 16, 1, 3));}
+
+ //_h_pi0_rap = book(tmp, 21, 1, 3);
+
+ book(_p_pi0_raploss_apT, 22, 1, 3);
+ //_h_pi0_raploss = book(tmp, 23, 1, 3);
+ }else{
+ MSG_INFO("p-Pb collisions : energy out of range!");
+ }
+ } else {
+ MSG_INFO("Beam PDGID out of range!");
+ }
+ _nevt = 0.;
+ }
+
+ /// Perform the per-event analysis
+ void analyze(const Event& event) {
+ _nevt = _nevt + 1.;
+
+ const UnstableFinalState &ufs = applyProjection<UnstableFinalState> (event, "UFS");
+ Particles ufs_particles = ufs.particles();
+ for (Particle& p: ufs_particles ) {
+
+ // select neutral pion
+ if(p.abspid() != 111) continue;
+ if(p.pz()/GeV<0.) continue;
+ if(p.pT()/GeV<pt_cutoff) continue;
+
+ // Kinematic variables
+ if(_pp_Pb) {//p-p collisions
+ const double pZ = p.pz()/GeV;
+ const double pT = p.pT()/GeV;
+ const double pT_MeV = p.pT()/MeV;
+ const double en = p.E()/GeV;
+ const double rap = p.rap();
+ const double raploss = _beam_rap_1 - p.rap();
+
+ _p_pi0_rap_apT->fill( rap , pT_MeV , 1.0 );
+ _h_pi0_rap_pT.fill( rap, pT , 1.0 / pT );
+ _h_pi0_pT_pZ.fill( pT, pZ , en / pT);
+ _h_pi0_rap->fill( rap, 1.0 );
+ _p_pi0_raploss_apT->fill( raploss , pT_MeV , 1.0 );
+ _h_pi0_raploss->fill( raploss, 1.0 );
+ } else {//pPb collisions
+ const double pZ = p.pz()/GeV;
+ const double pT = p.pT()/GeV;
+ const double pT_MeV = p.pT()/MeV;
+ const double en = p.E()/GeV;
+ const double rap = p.rap();
+ const double raploss = _beam_rap_1 - p.rap(); //mitsuka-like
+
+ _p_pi0_rap_apT->fill( rap , pT_MeV , 1.0 );
+ _h_pi0_rap_pT.fill( rap, pT , 1.0 / pT );
+ _h_pi0_pT_pZ.fill( pT, pZ , en / pT);
+ //_h_pi0_rap->fill( rap, 1.0 );
+ _p_pi0_raploss_apT->fill( raploss , pT_MeV , 1.0 );
+ //_h_pi0_raploss->fill( raploss, 1.0 );
+ }
+
+ }
+
+ }
+
+ /// Normalise histograms etc., after the run
+ void finalize() {
+ const double inv_scale_factor = 1. / _nevt / (2.*PI);
+ const double pt_bin_width = 0.2;
+
+ for (Histo1DPtr h: _h_pi0_pT_pZ.histos()){
+ if(h->path() == "/LHCF_2016_I1385877/d12-x01-y01" ||
+ h->path() == "/LHCF_2016_I1385877/d12-x01-y02" ||
+ h->path() == "/LHCF_2016_I1385877/d12-x01-y03")
+ h->scaleW( inv_scale_factor / (pt_bin_width-pt_cutoff) );
+ else
+ h->scaleW( inv_scale_factor / pt_bin_width );
+ }
+
+ const double scale_factor = 1. / _nevt / (2.*PI);
+ const double rap_bin_width = 0.2;
+ for (Histo1DPtr h: _h_pi0_rap_pT.histos()) {
+ const int cutoff_bin = h->binIndexAt(pt_cutoff);
+
+ if(cutoff_bin>=0) {
+// for(unsigned int ibin=0; ibin<h->numBins(); ++ibin)
+// cout << ibin << " " << h->bin(ibin).area() << endl;
+ const double cutoff_wdt = h->bin(cutoff_bin).xMax()-h->bin(cutoff_bin).xMin();
+ h->bin(cutoff_bin).scaleW((cutoff_wdt)/(cutoff_wdt-pt_cutoff));
+// for(unsigned int ibin=0; ibin<h->numBins(); ++ibin)
+// cout << ibin << " " << h->bin(ibin).area() << endl;
+ }
+
+ h->scaleW( scale_factor / rap_bin_width );
+ }
+
+ if(_pp_Pb) {
+ scale( _h_pi0_rap , 1. / _nevt );
+ scale( _h_pi0_raploss , 1. / _nevt );
+ }
+ }
+ //@}
+
+
+private:
+
+ /// @name Histograms
+ //@{
+ bool _pp_Pb;
+ double _nevt;
+ double _beam_rap;
+ double _beam_rap_1;
+ double _beam_rap_2;
+ BinnedHistogram _h_pi0_pT_pZ;
+ BinnedHistogram _h_pi0_rap_pT;
+ Profile1DPtr _p_pi0_rap_apT;
+ Histo1DPtr _h_pi0_rap;
+ Profile1DPtr _p_pi0_raploss_apT;
+ Histo1DPtr _h_pi0_raploss;
+ //@}
+};
+
+// The hook for the plugin system
+DECLARE_RIVET_PLUGIN(LHCF_2016_I1385877);
+
+}
diff --git a/analyses/pluginLHCf/LHCF_2016_I1385877.info b/analyses/pluginLHCf/LHCF_2016_I1385877.info
new file mode 100644
--- /dev/null
+++ b/analyses/pluginLHCf/LHCF_2016_I1385877.info
@@ -0,0 +1,40 @@
+Name: LHCF_2016_I1385877
+Year: 2016
+Summary: Measurements of longitudinal and transverse momentum distributions for neutral pions in the forward-rapidity region with the LHCf detector
+Experiment: LHCF
+Collider: LHC
+InspireID: 1385877
+Status: VALIDATED
+Authors:
+ - Eugenio Berti <eugenio.berti@fi.infn.it>
+ - LHCf collaboration <lhcf@isee.nagoya-u.ac.jp>
+Acknowledgements:
+ - Felix Riehn <felix.riehn@kit.edu>
+References:
+ - Phys. Rev. D 94 (2016) 032007
+RunInfo: Inclusive production cross section of neutral pion in p-p and p-Pb collisions in the very forward region expressed as a function of transverse and longitudinal momentum
+NumEvents: 1000000
+NeedCrossSection: no
+Beams: [[p+, p+], [p+, p+], [p+, Pb+]] #How to specify Lead Ion?
+Energies: [[3500, 3500], [1380, 1380], [4000, 327999.984]]
+Description:
+ 'The differential cross sections for inclusive neutral pions as a function of transverse and longitudinal momentum in the very forward-rapidity region have been measured at the LHC with the LHC forward detector in proton-proton collisions at $s=2.76$ and $7\,$TeV and in proton-lead collisions at nucleon-nucleon center-of-mass energies of $s_{\rm NN}=5.02\,$TeV. Such differential cross sections in proton-proton collisions are compatible with the hypotheses of limiting fragmentation and Feynman scaling. Comparing proton-proton with proton-lead collisions, we find a sizable suppression of the production of neutral pions in the differential cross sections after subtraction of ultraperipheral proton-lead collisions. This suppression corresponds to the nuclear modification factor value of about $0.1-0.3$. The experimental measurements presented in this paper provide a benchmark for the hadronic interaction Monte Carlo simulation codes that are used for the simulation of cosmic ray air showers.'
+BibKey: PhysRevD.94.032007
+BibTeX: '@article{PhysRevD.94.032007,
+ author = "Adriani, O. and others",
+ title = "{Measurements of longitudinal and transverse momentum
+ distributions for neutral pions in the forward-rapidity
+ region with the LHCf detector}",
+ collaboration = "LHCf",
+ journal = "Phys. Rev.",
+ volume = "D94",
+ year = "2016",
+ number = "3",
+ pages = "032007",
+ doi = "10.1103/PhysRevD.94.032007",
+ eprint = "1507.08764",
+ archivePrefix = "arXiv",
+ primaryClass = "hep-ex",
+ reportNumber = "CERN-PH-EP-2015-201",
+ SLACcitation = "%%CITATION = ARXIV:1507.08764;%%"
+}'
diff --git a/analyses/pluginLHCf/LHCF_2016_I1385877.plot b/analyses/pluginLHCf/LHCF_2016_I1385877.plot
new file mode 100644
--- /dev/null
+++ b/analyses/pluginLHCf/LHCF_2016_I1385877.plot
@@ -0,0 +1,439 @@
+# BEGIN PLOT /LHCF_2016_I1385877/d01-x01-y01
+Title=$pp\to\pi^0$ in $8.8<y<10.6$ at \sqrt{s}=2.76\,$TeV
+XLabel=Rapidity $y$
+YLabel=Average transverse momentum $\langle p_{\rm T} \rangle$ (MeV)
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d01-x01-y02
+Title=$pp\to\pi^0$ in $8.8<y<10.6$ at \sqrt{s}=7\,$TeV
+XLabel=Rapidity $y$
+YLabel=Average transverse momentum $\langle p_{\rm T} \rangle$ (MeV)
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d01-x01-y03
+Title=$pp\to\pi^0$ in $8.8<y_{lab}<10.6$ at \sqrt{s_{NN}}=5.02\,$TeV
+XLabel=Rapidity $y$
+YLabel=Average transverse momentum $\langle p_{\rm T} \rangle$ (MeV)
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d02-x01-y01
+Title=$pp\to\pi^0$ in $8.8<y<9.0$ at \sqrt{s}=2.76\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d02-x01-y02
+Title=$pp\to\pi^0$ in $8.8<y<9.0$ at \sqrt{s}=7\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d02-x01-y03
+Title=$pPb\to\pi^0$ in $8.8<y_{lab}<9.0$ at \sqrt{s_{NN}}=5.02\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d03-x01-y01
+Title=$pp\to\pi^0$ in $9.0<y<9.2$ at \sqrt{s}=2.76\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d03-x01-y02
+Title=$pp\to\pi^0$ in $9.0<y<9.2$ at \sqrt{s}=7\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d03-x01-y03
+Title=$pPb\to\pi^0$ in $9.0<y_{lab}<9.2$ at \sqrt{s_{NN}}=5.02\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d04-x01-y01
+Title=$pp\to\pi^0$ in $9.2<y<9.4$ at \sqrt{s}=2.76\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d04-x01-y02
+Title=$pp\to\pi^0$ in $9.2<y<9.4$ at \sqrt{s}=7\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d04-x01-y03
+Title=$pPb\to\pi^0$ in $9.2<y_{lab}<9.4$ at \sqrt{s_{NN}}=5.02\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d05-x01-y01
+Title=$pp\to\pi^0$ in $9.4<y<9.6$ at \sqrt{s}=2.76\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d05-x01-y02
+Title=$pp\to\pi^0$ in $9.4<y<9.6$ at \sqrt{s}=7\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d05-x01-y03
+Title=$pPb\to\pi^0$ in $9.4<y_{lab}<9.6$ at \sqrt{s_{NN}}=5.02\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d06-x01-y01
+Title=$pp\to\pi^0$ in $9.6<y<9.8$ at \sqrt{s}=2.76\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d06-x01-y02
+Title=$pp\to\pi^0$ in $9.6<y<9.8$ at \sqrt{s}=7\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d06-x01-y03
+Title=$pPb\to\pi^0$ in $9.6<y_{lab}<9.8$ at \sqrt{s_{NN}}=5.02\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d07-x01-y01
+Title=$pp\to\pi^0$ in $9.8<y<10$ at \sqrt{s}=2.76\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d07-x01-y02
+Title=$pp\to\pi^0$ in $9.8<y<10$ at \sqrt{s}=7\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d07-x01-y03
+Title=$pPb\to\pi^0$ in $9.8<y_{lab}<10$ at \sqrt{s_{NN}}=5.02\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d08-x01-y01
+Title=$pp\to\pi^0$ in $10<y<10.2$ at \sqrt{s}=2.76\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d08-x01-y02
+Title=$pp\to\pi^0$ in $10<y<10.2$ at \sqrt{s}=7\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d08-x01-y03
+Title=$pPb\to\pi^0$ in $10<y_{lab}<10.2$ at \sqrt{s_{NN}}=5.02\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d09-x01-y01
+Title=$pp\to\pi^0$ in $10.2<y<10.4$ at \sqrt{s}=2.76\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d09-x01-y02
+Title=$pp\to\pi^0$ in $10.2<y<10.4$ at \sqrt{s}=7\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d09-x01-y03
+Title=$pPb\to\pi^0$ in $10.2<y_{lab}<10.4$ at \sqrt{s_{NN}}=5.02\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d10-x01-y01
+Title=$pp\to\pi^0$ in $10.4<y<10.6$ at \sqrt{s}=2.76\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d10-x01-y02
+Title=$pp\to\pi^0$ in $10.4<y<10.6$ at \sqrt{s}=7\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d10-x01-y03
+Title=$pPb\to\pi^0$ in $10.4<y_{lab}<10.6$ at \sqrt{s_{NN}}=5.02\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d11-x01-y01
+Title=$pp\to\pi^0$ in $10.6<y<10.8$ at \sqrt{s}=2.76\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d11-x01-y02
+Title=$pp\to\pi^0$ in $10.6<y<10.8$ at \sqrt{s}=7\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d11-x01-y03
+Title=$pPb\to\pi^0$ in $10.6<y_{lab}<10.8$ at \sqrt{s_{NN}}=5.02\,$TeV
+XLabel=Transverse momentum $p_{\rm T}[GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d12-x01-y01
+Title=$pp\to\pi^0$ at \sqrt{s}=2.76\,$TeV for $0.0<p_{\rm T} [GeV/c]<0.2$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d12-x01-y02
+Title=$pp\to\pi^0$ at \sqrt{s}=7\,$TeV for $0.0<p_{\rm T} [GeV/c]<0.2$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d12-x01-y03
+Title=$pPb\to\pi^0$ at \sqrt{s_{NN}}=5.04\,$TeV for $0.0<p_{\rm T} [GeV/c]<0.2$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d13-x01-y01
+Title=$pp\to\pi^0$ at \sqrt{s}=2.76\,$TeV for $0.2<p_{\rm T} [GeV/c]<0.4$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d13-x01-y02
+Title=$pp\to\pi^0$ at \sqrt{s}=7\,$TeV for $0.2<p_{\rm T} [GeV/c]<0.4$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d13-x01-y03
+Title=$pPb\to\pi^0$ at \sqrt{s_{NN}}=5.04\,$TeV for $0.2<p_{\rm T} [GeV/c]<0.4$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d14-x01-y01
+Title=$pp\to\pi^0$ at \sqrt{s}=2.76\,$TeV for $0.4<p_{\rm T} [GeV/c]<0.6$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d14-x01-y02
+Title=$pp\to\pi^0$ at \sqrt{s}=7\,$TeV for $0.4<p_{\rm T} [GeV/c]<0.6$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d14-x01-y03
+Title=$pPb\to\pi^0$ at \sqrt{s_{NN}}=5.04\,$TeV for $0.4<p_{\rm T} [GeV/c]<0.6$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d15-x01-y01
+Title=$pp\to\pi^0$ at \sqrt{s}=2.76\,$TeV for $0.6<p_{\rm T} [GeV/c]<0.8$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d15-x01-y02
+Title=$pp\to\pi^0$ at \sqrt{s}=7\,$TeV for $0.6<p_{\rm T} [GeV/c]<0.8$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d15-x01-y03
+Title=$pPb\to\pi^0$ at \sqrt{s_{NN}}=5.04\,$TeV for $0.6<p_{\rm T} [GeV/c]<0.8$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d16-x01-y01
+Title=$pp\to\pi^0$ at \sqrt{s}=2.76\,$TeV for $0.8<p_{\rm T} [GeV/c]<1.0$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d16-x01-y02
+Title=$pp\to\pi^0$ at \sqrt{s}=7\,$TeV for $0.8<p_{\rm T} [GeV/c]<1.0$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d16-x01-y03
+Title=$pPb\to\pi^0$ at \sqrt{s_{NN}}=5.04\,$TeV for $0.8<p_{\rm T} [GeV/c]<1.0$
+XLabel=Longitudinal momentum $p_{\rm z} [GeV/c]$
+YLabel=$1 / \sigma_{inel} \, E \, d^{3}\sigma/dp^{3} [GeV^{-2}]$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d21-x01-y01
+Title=$pp\to\pi^0$ at \sqrt{s}=2.76\,$TeV for $0.8<p_{\rm T} [GeV/c]<1.0$
+XLabel=Rapidity $y$
+YLabel=$1 / \sigma_{inel} \, d\sigma/dy$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d21-x01-y02
+Title=$pp\to\pi^0$ at \sqrt{s}=7\,$TeV for $0.8<p_{\rm T} [GeV/c]<1.0$
+XLabel=Rapidity $y$
+YLabel=$1 / \sigma_{inel} \, d\sigma/dy$
+LegendXPos=0.1
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d22-x01-y01
+Title=$pp\to\pi^0$ in $8.8<y<10.6$ at \sqrt{s}=2.76\,$TeV
+XLabel=Rapidity loss $y_{\rm beam}-y$
+YLabel=Average transverse momentum $\langle p_{\rm T} \rangle$ (MeV)
+LegendXPos=0.6
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d22-x01-y02
+Title=$pp\to\pi^0$ in $8.8<y<10.6$ at \sqrt{s}=7\,$TeV
+XLabel=Rapidity loss $y_{\rm beam}-y$
+YLabel=Average transverse momentum $\langle p_{\rm T} \rangle$ (MeV)
+LegendXPos=0.6
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d22-x01-y03
+Title=$pp\to\pi^0$ in $8.8<y_{lab}<10.6$ at \sqrt{s_{NN}}=5.02\,$TeV
+XLabel=Rapidity loss $y_{\rm beam}-y$
+YLabel=Average transverse momentum $\langle p_{\rm T} \rangle$ (MeV)
+LegendXPos=0.6
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d23-x01-y01
+Title=$pp\to\pi^0$ in $8.8<y<10.6$ at \sqrt{s}=2.76\,$TeV
+XLabel=Rapidity loss $y_{\rm beam}-y$
+YLabel=$1 / \sigma_{inel} \, d\sigma/dy$
+LegendXPos=0.6
+LegendYPos=0.6
+# END PLOT
+
+# BEGIN PLOT /LHCF_2016_I1385877/d23-x01-y02
+Title=$pp\to\pi^0$ in $8.8<y<10.6$ at \sqrt{s}=7\,$TeV
+XLabel=Rapidity loss $y_{\rm beam}-y$
+YLabel=$1 / \sigma_{inel} \, d\sigma/dy$
+LegendXPos=0.6
+LegendYPos=0.6
+# END PLOT
diff --git a/analyses/pluginLHCf/LHCF_2016_I1385877.yoda b/analyses/pluginLHCf/LHCF_2016_I1385877.yoda
new file mode 100644
--- /dev/null
+++ b/analyses/pluginLHCf/LHCF_2016_I1385877.yoda
@@ -0,0 +1,963 @@
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d01-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d01-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+8.900000e+00 1.000000e-01 1.000000e-01 1.035000e+02 7.500000e+00 7.500000e+00
+9.100000e+00 1.000000e-01 1.000000e-01 7.850000e+01 7.800000e+00 7.800000e+00
+9.300000e+00 1.000000e-01 1.000000e-01 7.640000e+01 5.700000e+00 5.700000e+00
+9.500000e+00 1.000000e-01 1.000000e-01 6.030000e+01 5.200000e+00 5.200000e+00
+9.700000e+00 1.000000e-01 1.000000e-01 5.040000e+01 1.040000e+01 1.040000e+01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d01-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d01-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+8.900000e+00 1.000000e-01 1.000000e-01 2.428000e+02 8.600000e+00 8.600000e+00
+9.100000e+00 1.000000e-01 1.000000e-01 2.085000e+02 6.100000e+00 6.100000e+00
+9.300000e+00 1.000000e-01 1.000000e-01 1.826000e+02 4.300000e+00 4.300000e+00
+9.500000e+00 1.000000e-01 1.000000e-01 1.602000e+02 3.800000e+00 3.800000e+00
+9.700000e+00 1.000000e-01 1.000000e-01 1.323000e+02 3.400000e+00 3.400000e+00
+9.900000e+00 1.000000e-01 1.000000e-01 1.139000e+02 3.400000e+00 3.400000e+00
+1.010000e+01 1.000000e-01 1.000000e-01 8.730000e+01 3.900000e+00 3.900000e+00
+1.030000e+01 1.000000e-01 1.000000e-01 6.750000e+01 3.000000e+00 3.000000e+00
+1.050000e+01 1.000000e-01 1.000000e-01 5.560000e+01 3.100000e+00 3.100000e+00
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d01-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d01-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+8.900000e+00 1.000000e-01 1.000000e-01 2.445000e+02 4.320000e+01 4.320000e+01
+9.100000e+00 1.000000e-01 1.000000e-01 2.231000e+02 1.270000e+01 1.270000e+01
+9.300000e+00 1.000000e-01 1.000000e-01 1.899000e+02 7.600000e+00 7.600000e+00
+9.500000e+00 1.000000e-01 1.000000e-01 1.738000e+02 1.720000e+01 1.720000e+01
+9.700000e+00 1.000000e-01 1.000000e-01 1.381000e+02 1.870000e+01 1.870000e+01
+9.900000e+00 1.000000e-01 1.000000e-01 1.130000e+02 6.300000e+00 6.300000e+00
+1.010000e+01 1.000000e-01 1.000000e-01 1.122000e+02 1.540000e+01 1.540000e+01
+1.030000e+01 1.000000e-01 1.000000e-01 9.070000e+01 6.700000e+00 6.700000e+00
+1.050000e+01 1.000000e-01 1.000000e-01 6.100000e+01 6.600000e+00 6.600000e+00
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d02-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d02-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 2.500000e-02 2.500000e-02 3.710000e-02 8.990000e-03 8.990000e-03
+1.750000e-01 2.500000e-02 2.500000e-02 1.920000e-02 3.360000e-03 3.360000e-03
+2.250000e-01 2.500000e-02 2.500000e-02 3.470000e-03 7.220000e-04 7.220000e-04
+2.750000e-01 2.500000e-02 2.500000e-02 5.670000e-04 2.490000e-04 2.490000e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d02-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d02-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 2.500000e-02 2.500000e-02 2.560000e-01 3.750000e-02 3.750000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 1.980000e-01 2.050000e-02 2.050000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 1.200000e-01 1.290000e-02 1.290000e-02
+2.750000e-01 2.500000e-02 2.500000e-02 6.960000e-02 5.650000e-03 5.650000e-03
+3.250000e-01 2.500000e-02 2.500000e-02 3.940000e-02 3.430000e-03 3.430000e-03
+3.750000e-01 2.500000e-02 2.500000e-02 2.230000e-02 2.280000e-03 2.280000e-03
+4.250000e-01 2.500000e-02 2.500000e-02 1.260000e-02 1.520000e-03 1.520000e-03
+4.750000e-01 2.500000e-02 2.500000e-02 7.060000e-03 8.820000e-04 8.820000e-04
+5.250000e-01 2.500000e-02 2.500000e-02 4.210000e-03 4.930000e-04 4.930000e-04
+5.750000e-01 2.500000e-02 2.500000e-02 2.310000e-03 2.610000e-04 2.610000e-04
+6.250000e-01 2.500000e-02 2.500000e-02 1.150000e-03 1.440000e-04 1.440000e-04
+6.750000e-01 2.500000e-02 2.500000e-02 4.360000e-04 7.060000e-05 7.060000e-05
+7.250000e-01 2.500000e-02 2.500000e-02 2.120000e-04 4.560000e-05 4.560000e-05
+7.750000e-01 2.500000e-02 2.500000e-02 1.380000e-04 3.150000e-05 3.150000e-05
+8.250000e-01 2.500000e-02 2.500000e-02 3.980000e-05 1.590000e-05 1.590000e-05
+8.750000e-01 2.500000e-02 2.500000e-02 4.520000e-06 3.260000e-06 3.260000e-06
+9.250000e-01 2.500000e-02 2.500000e-02 7.090000e-06 4.540000e-06 4.540000e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d02-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d02-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 2.500000e-02 2.500000e-02 1.630000e-01 5.650000e-02 5.650000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 1.860000e-01 4.190000e-02 4.190000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 1.520000e-01 2.760000e-02 2.760000e-02
+2.750000e-01 2.500000e-02 2.500000e-02 1.060000e-01 1.520000e-02 1.520000e-02
+3.250000e-01 2.500000e-02 2.500000e-02 5.590000e-02 8.430000e-03 8.430000e-03
+3.750000e-01 2.500000e-02 2.500000e-02 3.800000e-02 6.140000e-03 6.140000e-03
+4.250000e-01 2.500000e-02 2.500000e-02 2.130000e-02 3.860000e-03 3.860000e-03
+4.750000e-01 2.500000e-02 2.500000e-02 9.510000e-03 1.840000e-03 1.840000e-03
+5.250000e-01 2.500000e-02 2.500000e-02 6.560000e-03 1.090000e-03 1.090000e-03
+5.750000e-01 2.500000e-02 2.500000e-02 3.180000e-03 5.640000e-04 5.640000e-04
+6.250000e-01 2.500000e-02 2.500000e-02 1.640000e-03 3.280000e-04 3.280000e-04
+6.750000e-01 2.500000e-02 2.500000e-02 8.980000e-04 1.950000e-04 1.950000e-04
+7.250000e-01 2.500000e-02 2.500000e-02 5.880000e-04 1.600000e-04 1.600000e-04
+7.750000e-01 2.500000e-02 2.500000e-02 1.540000e-04 7.960000e-05 7.960000e-05
+8.250000e-01 2.500000e-02 2.500000e-02 3.630000e-05 4.260000e-05 4.260000e-05
+8.750000e-01 2.500000e-02 2.500000e-02 7.070000e-05 4.060000e-05 4.060000e-05
+9.250000e-01 2.500000e-02 2.500000e-02 0.740000e-06 0.740000e-06 0.740000e-06 #manually added
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d03-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d03-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+7.500000e-02 2.500000e-02 2.500000e-02 4.260000e-02 1.080000e-02 1.080000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 2.180000e-02 3.740000e-03 3.740000e-03
+1.750000e-01 2.500000e-02 2.500000e-02 4.200000e-03 7.140000e-04 7.140000e-04
+2.250000e-01 2.500000e-02 2.500000e-02 2.890000e-04 1.590000e-04 1.590000e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d03-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d03-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+7.500000e-02 2.500000e-02 2.500000e-02 2.980000e-01 4.720000e-02 4.720000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 2.270000e-01 2.580000e-02 2.580000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 1.420000e-01 1.120000e-02 1.120000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 8.480000e-02 6.200000e-03 6.200000e-03
+2.750000e-01 2.500000e-02 2.500000e-02 5.500000e-02 4.430000e-03 4.430000e-03
+3.250000e-01 2.500000e-02 2.500000e-02 3.280000e-02 3.020000e-03 3.020000e-03
+3.750000e-01 2.500000e-02 2.500000e-02 1.530000e-02 1.590000e-03 1.590000e-03
+4.250000e-01 2.500000e-02 2.500000e-02 6.830000e-03 8.380000e-04 8.380000e-04
+4.750000e-01 2.500000e-02 2.500000e-02 3.310000e-03 4.190000e-04 4.190000e-04
+5.250000e-01 2.500000e-02 2.500000e-02 1.350000e-03 1.740000e-04 1.740000e-04
+5.750000e-01 2.500000e-02 2.500000e-02 7.210000e-04 8.110000e-05 8.110000e-05
+6.250000e-01 2.500000e-02 2.500000e-02 1.940000e-04 4.840000e-05 4.840000e-05
+6.750000e-01 2.500000e-02 2.500000e-02 9.560000e-05 2.790000e-05 2.790000e-05
+7.250000e-01 2.500000e-02 2.500000e-02 1.260000e-05 5.760000e-06 5.760000e-06
+7.750000e-01 2.500000e-02 2.500000e-02 5.050000e-06 3.110000e-06 3.110000e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d03-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d03-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+7.500000e-02 2.500000e-02 2.500000e-02 1.660000e-01 5.080000e-02 5.080000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 1.780000e-01 3.660000e-02 3.660000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 1.690000e-01 2.970000e-02 2.970000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 1.140000e-01 2.100000e-02 2.100000e-02
+2.750000e-01 2.500000e-02 2.500000e-02 5.310000e-02 8.700000e-03 8.700000e-03
+3.250000e-01 2.500000e-02 2.500000e-02 3.460000e-02 5.490000e-03 5.490000e-03
+3.750000e-01 2.500000e-02 2.500000e-02 1.730000e-02 3.280000e-03 3.280000e-03
+4.250000e-01 2.500000e-02 2.500000e-02 9.010000e-03 2.060000e-03 2.060000e-03
+4.750000e-01 2.500000e-02 2.500000e-02 4.870000e-03 1.150000e-03 1.150000e-03
+5.250000e-01 2.500000e-02 2.500000e-02 2.960000e-03 6.760000e-04 6.760000e-04
+5.750000e-01 2.500000e-02 2.500000e-02 6.980000e-04 2.730000e-04 2.730000e-04
+6.250000e-01 2.500000e-02 2.500000e-02 3.240000e-04 1.660000e-04 1.660000e-04
+6.750000e-01 2.500000e-02 2.500000e-02 2.920000e-04 1.130000e-04 1.130000e-04
+7.250000e-01 2.500000e-02 2.500000e-02 1.560000e-05 4.630000e-05 4.630000e-05
+7.750000e-01 2.500000e-02 2.500000e-02 1.600000e-05 2.680000e-05 2.680000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d04-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d04-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 4.460000e-02 1.330000e-02 1.330000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 2.070000e-02 4.120000e-03 4.120000e-03
+1.250000e-01 2.500000e-02 2.500000e-02 7.150000e-03 1.120000e-03 1.120000e-03
+1.750000e-01 2.500000e-02 2.500000e-02 8.300000e-04 2.240000e-04 2.240000e-04
+2.250000e-01 2.500000e-02 2.500000e-02 4.110000e-05 4.140000e-05 4.140000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d04-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d04-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 2.740000e-01 5.080000e-02 5.080000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 1.960000e-01 3.220000e-02 3.220000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 1.540000e-01 1.760000e-02 1.760000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 1.010000e-01 7.240000e-03 7.240000e-03
+2.250000e-01 2.500000e-02 2.500000e-02 5.530000e-02 4.200000e-03 4.200000e-03
+2.750000e-01 2.500000e-02 2.500000e-02 3.260000e-02 2.770000e-03 2.770000e-03
+3.250000e-01 2.500000e-02 2.500000e-02 1.590000e-02 1.530000e-03 1.530000e-03
+3.750000e-01 2.500000e-02 2.500000e-02 7.260000e-03 9.040000e-04 9.040000e-04
+4.250000e-01 2.500000e-02 2.500000e-02 1.720000e-03 3.830000e-04 3.830000e-04
+4.750000e-01 2.500000e-02 2.500000e-02 4.120000e-04 1.780000e-04 1.780000e-04
+5.250000e-01 2.500000e-02 2.500000e-02 9.380000e-05 9.380000e-05 9.380000e-05
+5.750000e-01 2.500000e-02 2.500000e-02 9.530000e-05 8.490000e-05 8.490000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d04-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d04-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 1.460000e-01 5.350000e-02 5.350000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 1.710000e-01 3.980000e-02 3.980000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 1.520000e-01 2.670000e-02 2.670000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 1.390000e-01 2.420000e-02 2.420000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 6.480000e-02 1.150000e-02 1.150000e-02
+2.750000e-01 2.500000e-02 2.500000e-02 2.800000e-02 4.620000e-03 4.620000e-03
+3.250000e-01 2.500000e-02 2.500000e-02 1.570000e-02 2.870000e-03 2.870000e-03
+3.750000e-01 2.500000e-02 2.500000e-02 8.060000e-03 2.120000e-03 2.120000e-03
+4.250000e-01 2.500000e-02 2.500000e-02 4.430000e-03 1.460000e-03 1.460000e-03
+4.750000e-01 2.500000e-02 2.500000e-02 1.940000e-03 9.940000e-04 9.940000e-04
+5.250000e-01 2.500000e-02 2.500000e-02 1.480000e-04 3.750000e-04 3.750000e-04
+5.750000e-01 2.500000e-02 2.500000e-02 1.280000e-04 2.080000e-04 2.080000e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d05-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d05-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 1.710000e-02 4.080000e-03 4.080000e-03
+7.500000e-02 2.500000e-02 2.500000e-02 6.510000e-03 1.290000e-03 1.290000e-03
+1.250000e-01 2.500000e-02 2.500000e-02 7.270000e-04 1.970000e-04 1.970000e-04
+1.750000e-01 2.500000e-02 2.500000e-02 3.840000e-05 3.870000e-05 3.870000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d05-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d05-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 1.950000e-01 3.270000e-02 3.270000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 1.520000e-01 2.230000e-02 2.230000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 1.080000e-01 8.300000e-03 8.300000e-03
+1.750000e-01 2.500000e-02 2.500000e-02 6.080000e-02 4.410000e-03 4.410000e-03
+2.250000e-01 2.500000e-02 2.500000e-02 3.370000e-02 2.850000e-03 2.850000e-03
+2.750000e-01 2.500000e-02 2.500000e-02 1.490000e-02 1.490000e-03 1.490000e-03
+3.250000e-01 2.500000e-02 2.500000e-02 5.360000e-03 7.820000e-04 7.820000e-04
+3.750000e-01 2.500000e-02 2.500000e-02 1.600000e-03 4.360000e-04 4.360000e-04
+4.250000e-01 2.500000e-02 2.500000e-02 2.720000e-04 1.450000e-04 1.450000e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d05-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d05-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 1.390000e-01 3.890000e-02 3.890000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 1.360000e-01 2.900000e-02 2.900000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 1.170000e-01 2.220000e-02 2.220000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 7.420000e-02 1.350000e-02 1.350000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 3.080000e-02 4.970000e-03 4.970000e-03
+2.750000e-01 2.500000e-02 2.500000e-02 1.550000e-02 2.910000e-03 2.910000e-03
+3.250000e-01 2.500000e-02 2.500000e-02 1.200000e-02 2.530000e-03 2.530000e-03
+3.750000e-01 2.500000e-02 2.500000e-02 4.640000e-03 1.830000e-03 1.830000e-03
+4.250000e-01 2.500000e-02 2.500000e-02 9.010000e-04 7.910000e-04 7.910000e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d06-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d06-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 3.560000e-03 1.060000e-03 1.060000e-03
+7.500000e-02 2.500000e-02 2.500000e-02 7.590000e-04 2.560000e-04 2.560000e-04
+1.250000e-01 2.500000e-02 2.500000e-02 4.710000e-05 4.750000e-05 4.750000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d06-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d06-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 1.630000e-01 1.980000e-02 1.980000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 1.070000e-01 1.070000e-02 1.070000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 6.400000e-02 4.560000e-03 4.560000e-03
+1.750000e-01 2.500000e-02 2.500000e-02 3.510000e-02 2.770000e-03 2.770000e-03
+2.250000e-01 2.500000e-02 2.500000e-02 1.540000e-02 1.650000e-03 1.650000e-03
+2.750000e-01 2.500000e-02 2.500000e-02 3.270000e-03 6.320000e-04 6.320000e-04
+3.250000e-01 2.500000e-02 2.500000e-02 9.330000e-04 3.580000e-04 3.580000e-04
+3.750000e-01 2.500000e-02 2.500000e-02 1.690000e-04 1.300000e-04 1.300000e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d06-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d06-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 1.170000e-01 3.270000e-02 3.270000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 1.090000e-01 2.360000e-02 2.360000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 6.560000e-02 1.410000e-02 1.410000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 3.030000e-02 5.170000e-03 5.170000e-03
+2.250000e-01 2.500000e-02 2.500000e-02 1.420000e-02 2.670000e-03 2.670000e-03
+2.750000e-01 2.500000e-02 2.500000e-02 6.670000e-03 1.820000e-03 1.820000e-03
+3.250000e-01 2.500000e-02 2.500000e-02 1.220000e-03 8.180000e-04 8.180000e-04
+3.750000e-01 2.500000e-02 2.500000e-02 0.865000e-04 0.865000e-04 0.865000e-04 #manually added
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d07-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d07-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d07-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d07-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 8.800000e-02 1.050000e-02 1.050000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 5.900000e-02 5.650000e-03 5.650000e-03
+1.250000e-01 2.500000e-02 2.500000e-02 3.450000e-02 2.730000e-03 2.730000e-03
+1.750000e-01 2.500000e-02 2.500000e-02 1.450000e-02 1.370000e-03 1.370000e-03
+2.250000e-01 2.500000e-02 2.500000e-02 3.070000e-03 5.820000e-04 5.820000e-04
+2.750000e-01 2.500000e-02 2.500000e-02 5.830000e-04 2.370000e-04 2.370000e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d07-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d07-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 9.810000e-02 3.220000e-02 3.220000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 6.410000e-02 1.610000e-02 1.610000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 2.420000e-02 5.510000e-03 5.510000e-03
+1.750000e-01 2.500000e-02 2.500000e-02 1.290000e-02 2.700000e-03 2.700000e-03
+2.250000e-01 2.500000e-02 2.500000e-02 7.630000e-03 1.840000e-03 1.840000e-03
+2.750000e-01 2.500000e-02 2.500000e-02 1.010000e-03 7.400000e-04 7.400000e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d08-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d08-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d08-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d08-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 4.540000e-02 5.630000e-03 5.630000e-03
+7.500000e-02 2.500000e-02 2.500000e-02 3.060000e-02 2.950000e-03 2.950000e-03
+1.250000e-01 2.500000e-02 2.500000e-02 1.240000e-02 1.120000e-03 1.120000e-03
+1.750000e-01 2.500000e-02 2.500000e-02 2.040000e-03 3.160000e-04 3.160000e-04
+2.250000e-01 2.500000e-02 2.500000e-02 5.330000e-04 2.410000e-04 2.410000e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d08-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d08-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 4.380000e-02 1.800000e-02 1.800000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 2.510000e-02 6.110000e-03 6.110000e-03
+1.250000e-01 2.500000e-02 2.500000e-02 7.250000e-03 2.380000e-03 2.380000e-03
+1.750000e-01 2.500000e-02 2.500000e-02 7.170000e-03 1.820000e-03 1.820000e-03
+2.250000e-01 2.500000e-02 2.500000e-02 3.000000e-04 5.460000e-04 5.460000e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d09-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d09-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d09-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d09-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 2.080000e-02 2.310000e-03 2.310000e-03
+7.500000e-02 2.500000e-02 2.500000e-02 1.100000e-02 1.000000e-03 1.000000e-03
+1.250000e-01 2.500000e-02 2.500000e-02 2.220000e-03 2.160000e-04 2.160000e-04
+1.750000e-01 2.500000e-02 2.500000e-02 8.390000e-05 2.030000e-05 2.030000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d09-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d09-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 6.380000e-03 6.420000e-03 6.420000e-03
+7.500000e-02 2.500000e-02 2.500000e-02 9.200000e-03 1.910000e-03 1.910000e-03
+1.250000e-01 2.500000e-02 2.500000e-02 5.330000e-03 8.770000e-04 8.770000e-04
+1.750000e-01 2.500000e-02 2.500000e-02 4.870000e-04 1.640000e-04 1.640000e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d10-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d10-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d10-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d10-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 5.140000e-03 7.210000e-04 7.210000e-04
+7.500000e-02 2.500000e-02 2.500000e-02 1.870000e-03 2.110000e-04 2.110000e-04
+1.250000e-01 2.500000e-02 2.500000e-02 1.040000e-04 2.510000e-05 2.510000e-05
+1.750000e-01 2.500000e-02 2.500000e-02 2.090000e-06 1.370000e-06 1.370000e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d10-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d10-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 8.010000e-03 4.520000e-03 4.520000e-03
+7.500000e-02 2.500000e-02 2.500000e-02 1.780000e-03 1.390000e-03 1.390000e-03
+1.250000e-01 2.500000e-02 2.500000e-02 1.040000e-04 3.450000e-04 3.450000e-04
+1.750000e-01 2.500000e-02 2.500000e-02 2.820000e-04 1.510000e-04 1.510000e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d11-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d11-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d11-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d11-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 6.810000e-04 1.680000e-04 1.680000e-04
+7.500000e-02 2.500000e-02 2.500000e-02 1.420000e-04 3.840000e-05 3.840000e-05
+1.250000e-01 2.500000e-02 2.500000e-02 2.810000e-06 1.570000e-06 1.570000e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d11-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d11-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 1.170000e-03 1.180000e-03 1.180000e-03
+7.500000e-02 2.500000e-02 2.500000e-02 4.845000e-05 4.845000e-05 4.845000e-05 #manually added
+1.250000e-01 2.500000e-02 2.500000e-02 2.850000e-05 2.570000e-05 2.570000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d12-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d12-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+6.875000e+02 6.250000e+01 6.250000e+01 4.550000e-02 1.850000e-02 1.850000e-02
+8.125000e+02 6.250000e+01 6.250000e+01 2.590000e-02 5.790000e-03 5.790000e-03
+9.375000e+02 6.250000e+01 6.250000e+01 1.190000e-02 1.850000e-03 1.850000e-03
+1.062500e+03 6.250000e+01 6.250000e+01 3.830000e-03 5.870000e-04 5.870000e-04
+1.187500e+03 6.250000e+01 6.250000e+01 9.350000e-04 2.190000e-04 2.190000e-04
+1.315000e+03 6.500000e+01 6.500000e+01 1.160000e-04 7.080000e-05 7.080000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d12-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d12-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+9.375000e+02 6.250000e+01 6.250000e+01 1.820000e-01 2.210000e-02 2.210000e-02
+1.062500e+03 6.250000e+01 6.250000e+01 1.520000e-01 1.470000e-02 1.470000e-02
+1.187500e+03 6.250000e+01 6.250000e+01 1.390000e-01 9.380000e-03 9.380000e-03
+1.312500e+03 6.250000e+01 6.250000e+01 9.970000e-02 6.890000e-03 6.890000e-03
+1.437500e+03 6.250000e+01 6.250000e+01 7.540000e-02 5.690000e-03 5.690000e-03
+1.562500e+03 6.250000e+01 6.250000e+01 5.850000e-02 4.700000e-03 4.700000e-03
+1.687500e+03 6.250000e+01 6.250000e+01 4.710000e-02 3.990000e-03 3.990000e-03
+1.812500e+03 6.250000e+01 6.250000e+01 3.730000e-02 3.070000e-03 3.070000e-03
+1.937500e+03 6.250000e+01 6.250000e+01 2.840000e-02 2.450000e-03 2.450000e-03
+2.062500e+03 6.250000e+01 6.250000e+01 2.100000e-02 1.910000e-03 1.910000e-03
+2.187500e+03 6.250000e+01 6.250000e+01 1.420000e-02 1.340000e-03 1.340000e-03
+2.312500e+03 6.250000e+01 6.250000e+01 1.130000e-02 1.140000e-03 1.140000e-03
+2.437500e+03 6.250000e+01 6.250000e+01 5.480000e-03 6.880000e-04 6.880000e-04
+2.562500e+03 6.250000e+01 6.250000e+01 3.590000e-03 4.650000e-04 4.650000e-04
+2.687500e+03 6.250000e+01 6.250000e+01 2.380000e-03 3.280000e-04 3.280000e-04
+2.812500e+03 6.250000e+01 6.250000e+01 1.480000e-03 2.150000e-04 2.150000e-04
+2.937500e+03 6.250000e+01 6.250000e+01 8.280000e-04 1.280000e-04 1.280000e-04
+3.062500e+03 6.250000e+01 6.250000e+01 6.060000e-04 9.650000e-05 9.650000e-05
+3.187500e+03 6.250000e+01 6.250000e+01 2.190000e-04 4.440000e-05 4.440000e-05
+3.312500e+03 6.250000e+01 6.250000e+01 4.760000e-05 2.060000e-05 2.060000e-05
+3.437500e+03 6.250000e+01 6.250000e+01 5.330000e-05 2.160000e-05 2.160000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d12-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d12-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+9.375000e+02 6.250000e+01 6.250000e+01 1.590000e-01 3.250000e-02 3.250000e-02
+1.062500e+03 6.250000e+01 6.250000e+01 1.480000e-01 2.500000e-02 2.500000e-02
+1.187500e+03 6.250000e+01 6.250000e+01 1.480000e-01 2.410000e-02 2.410000e-02
+1.312500e+03 6.250000e+01 6.250000e+01 1.210000e-01 2.180000e-02 2.180000e-02
+1.437500e+03 6.250000e+01 6.250000e+01 8.680000e-02 1.810000e-02 1.810000e-02
+1.562500e+03 6.250000e+01 6.250000e+01 5.790000e-02 1.310000e-02 1.310000e-02
+1.687500e+03 6.250000e+01 6.250000e+01 3.260000e-02 8.000000e-03 8.000000e-03
+1.812500e+03 6.250000e+01 6.250000e+01 2.420000e-02 5.410000e-03 5.410000e-03
+1.937500e+03 6.250000e+01 6.250000e+01 1.240000e-02 3.770000e-03 3.770000e-03
+2.062500e+03 6.250000e+01 6.250000e+01 1.600000e-02 3.580000e-03 3.580000e-03
+2.187500e+03 6.250000e+01 6.250000e+01 6.870000e-03 2.680000e-03 2.680000e-03
+2.312500e+03 6.250000e+01 6.250000e+01 7.450000e-03 2.370000e-03 2.370000e-03
+2.437500e+03 6.250000e+01 6.250000e+01 9.050000e-03 2.350000e-03 2.350000e-03
+2.562500e+03 6.250000e+01 6.250000e+01 6.810000e-03 1.770000e-03 1.770000e-03
+2.687500e+03 6.250000e+01 6.250000e+01 4.400000e-03 1.320000e-03 1.320000e-03
+2.812500e+03 6.250000e+01 6.250000e+01 3.880000e-03 9.520000e-04 9.520000e-04
+2.937500e+03 6.250000e+01 6.250000e+01 3.440000e-03 7.940000e-04 7.940000e-04
+3.062500e+03 6.250000e+01 6.250000e+01 1.830000e-03 5.020000e-04 5.020000e-04
+3.187500e+03 6.250000e+01 6.250000e+01 4.790000e-05 4.790000e-05 4.790000e-05 #manually added
+3.312500e+03 6.250000e+01 6.250000e+01 4.730000e-05 4.730000e-05 4.730000e-05 #manually added
+3.437500e+03 6.250000e+01 6.250000e+01 1.175000e-05 1.175000e-05 1.175000e-05 #manually added
+3.562500e+03 6.250000e+01 6.250000e+01 1.925000e-05 1.925000e-05 1.925000e-05 #manually added
+3.687500e+03 6.250000e+01 6.250000e+01 2.585000e-05 2.585000e-05 2.585000e-05 #manually added
+3.812500e+03 6.250000e+01 6.250000e+01 0.730000e-05 0.730000e-05 0.730000e-05 #manually added
+3.937500e+03 6.250000e+01 6.250000e+01 0.590000e-05 0.590000e-05 0.590000e-05 #manually added
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d13-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d13-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+8.125000e+02 6.250000e+01 6.250000e+01 1.160000e-02 3.730000e-03 3.730000e-03
+9.375000e+02 6.250000e+01 6.250000e+01 4.090000e-03 9.000000e-04 9.000000e-04
+1.062500e+03 6.250000e+01 6.250000e+01 1.210000e-03 2.890000e-04 2.890000e-04
+1.187500e+03 6.250000e+01 6.250000e+01 5.550000e-05 5.590000e-05 5.590000e-05
+1.315000e+03 6.500000e+01 6.500000e+01 3.380000e-05 3.410000e-05 3.410000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d13-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d13-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.062500e+03 6.250000e+01 6.250000e+01 8.470000e-02 8.410000e-03 8.410000e-03
+1.187500e+03 6.250000e+01 6.250000e+01 7.000000e-02 7.220000e-03 7.220000e-03
+1.312500e+03 6.250000e+01 6.250000e+01 5.580000e-02 4.310000e-03 4.310000e-03
+1.437500e+03 6.250000e+01 6.250000e+01 4.550000e-02 3.760000e-03 3.760000e-03
+1.562500e+03 6.250000e+01 6.250000e+01 3.570000e-02 3.080000e-03 3.080000e-03
+1.687500e+03 6.250000e+01 6.250000e+01 3.050000e-02 2.780000e-03 2.780000e-03
+1.812500e+03 6.250000e+01 6.250000e+01 2.380000e-02 2.250000e-03 2.250000e-03
+1.937500e+03 6.250000e+01 6.250000e+01 1.800000e-02 1.880000e-03 1.880000e-03
+2.062500e+03 6.250000e+01 6.250000e+01 1.380000e-02 1.510000e-03 1.510000e-03
+2.187500e+03 6.250000e+01 6.250000e+01 8.760000e-03 1.140000e-03 1.140000e-03
+2.312500e+03 6.250000e+01 6.250000e+01 5.690000e-03 8.680000e-04 8.680000e-04
+2.437500e+03 6.250000e+01 6.250000e+01 3.910000e-03 6.970000e-04 6.970000e-04
+2.562500e+03 6.250000e+01 6.250000e+01 1.610000e-03 4.200000e-04 4.200000e-04
+2.687500e+03 6.250000e+01 6.250000e+01 1.130000e-03 3.520000e-04 3.520000e-04
+2.812500e+03 6.250000e+01 6.250000e+01 6.470000e-04 2.130000e-04 2.130000e-04
+2.937500e+03 6.250000e+01 6.250000e+01 4.190000e-04 1.420000e-04 1.420000e-04
+3.062500e+03 6.250000e+01 6.250000e+01 2.210000e-04 9.010000e-05 9.010000e-05
+3.187500e+03 6.250000e+01 6.250000e+01 8.450000e-05 4.420000e-05 4.420000e-05
+3.312500e+03 6.250000e+01 6.250000e+01 3.900000e-05 1.750000e-05 1.750000e-05
+3.437500e+03 6.250000e+01 6.250000e+01 1.750000e-05 1.140000e-05 1.140000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d13-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d13-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+9.375000e+02 6.250000e+01 6.250000e+01 1.260000e-01 2.610000e-02 2.610000e-02
+1.062500e+03 6.250000e+01 6.250000e+01 1.250000e-01 1.780000e-02 1.780000e-02
+1.187500e+03 6.250000e+01 6.250000e+01 9.800000e-02 1.440000e-02 1.440000e-02
+1.312500e+03 6.250000e+01 6.250000e+01 7.550000e-02 1.150000e-02 1.150000e-02
+1.437500e+03 6.250000e+01 6.250000e+01 4.950000e-02 8.070000e-03 8.070000e-03
+1.562500e+03 6.250000e+01 6.250000e+01 3.390000e-02 5.720000e-03 5.720000e-03
+1.687500e+03 6.250000e+01 6.250000e+01 3.170000e-02 5.330000e-03 5.330000e-03
+1.812500e+03 6.250000e+01 6.250000e+01 2.350000e-02 4.110000e-03 4.110000e-03
+1.937500e+03 6.250000e+01 6.250000e+01 1.470000e-02 3.080000e-03 3.080000e-03
+2.062500e+03 6.250000e+01 6.250000e+01 1.150000e-02 2.640000e-03 2.640000e-03
+2.187500e+03 6.250000e+01 6.250000e+01 9.830000e-03 2.440000e-03 2.440000e-03
+2.312500e+03 6.250000e+01 6.250000e+01 8.190000e-03 2.220000e-03 2.220000e-03
+2.437500e+03 6.250000e+01 6.250000e+01 7.740000e-03 2.230000e-03 2.230000e-03
+2.562500e+03 6.250000e+01 6.250000e+01 7.170000e-03 2.040000e-03 2.040000e-03
+2.687500e+03 6.250000e+01 6.250000e+01 3.080000e-03 1.300000e-03 1.300000e-03
+2.812500e+03 6.250000e+01 6.250000e+01 2.050000e-03 9.470000e-04 9.470000e-04
+2.937500e+03 6.250000e+01 6.250000e+01 1.950000e-03 7.890000e-04 7.890000e-04
+3.062500e+03 6.250000e+01 6.250000e+01 8.210000e-04 5.730000e-04 5.730000e-04
+3.187500e+03 6.250000e+01 6.250000e+01 2.670000e-04 4.030000e-04 4.030000e-04
+3.312500e+03 6.250000e+01 6.250000e+01 3.560000e-04 3.270000e-04 3.270000e-04
+3.437500e+03 6.250000e+01 6.250000e+01 5.100000e-05 2.140000e-04 2.140000e-04
+3.562500e+03 6.250000e+01 6.250000e+01 2.340000e-04 2.260000e-04 2.260000e-04
+3.687500e+03 6.250000e+01 6.250000e+01 1.850000e-04 1.690000e-04 1.690000e-04
+3.812500e+03 6.250000e+01 6.250000e+01 1.660000e-04 1.450000e-04 1.450000e-04
+3.937500e+03 6.250000e+01 6.250000e+01 1.160000e-04 8.130000e-05 8.130000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d14-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d14-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d14-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d14-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.562500e+03 6.250000e+01 6.250000e+01 1.150000e-02 3.180000e-03 3.180000e-03
+1.687500e+03 6.250000e+01 6.250000e+01 1.090000e-02 2.060000e-03 2.060000e-03
+1.812500e+03 6.250000e+01 6.250000e+01 9.860000e-03 9.930000e-04 9.930000e-04
+1.937500e+03 6.250000e+01 6.250000e+01 6.780000e-03 6.850000e-04 6.850000e-04
+2.062500e+03 6.250000e+01 6.250000e+01 4.660000e-03 3.960000e-04 3.960000e-04
+2.187500e+03 6.250000e+01 6.250000e+01 4.080000e-03 3.580000e-04 3.580000e-04
+2.312500e+03 6.250000e+01 6.250000e+01 2.440000e-03 2.380000e-04 2.380000e-04
+2.437500e+03 6.250000e+01 6.250000e+01 1.730000e-03 1.890000e-04 1.890000e-04
+2.562500e+03 6.250000e+01 6.250000e+01 1.120000e-03 1.860000e-04 1.860000e-04
+2.687500e+03 6.250000e+01 6.250000e+01 5.570000e-04 1.470000e-04 1.470000e-04
+2.812500e+03 6.250000e+01 6.250000e+01 2.930000e-04 1.070000e-04 1.070000e-04
+2.937500e+03 6.250000e+01 6.250000e+01 2.360000e-04 9.470000e-05 9.470000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d14-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d14-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.437500e+03 6.250000e+01 6.250000e+01 2.680000e-02 5.380000e-03 5.380000e-03
+1.562500e+03 6.250000e+01 6.250000e+01 1.450000e-02 3.060000e-03 3.060000e-03
+1.687500e+03 6.250000e+01 6.250000e+01 1.490000e-02 2.480000e-03 2.480000e-03
+1.812500e+03 6.250000e+01 6.250000e+01 1.160000e-02 1.820000e-03 1.820000e-03
+1.937500e+03 6.250000e+01 6.250000e+01 8.250000e-03 1.270000e-03 1.270000e-03
+2.062500e+03 6.250000e+01 6.250000e+01 6.360000e-03 1.050000e-03 1.050000e-03
+2.187500e+03 6.250000e+01 6.250000e+01 4.980000e-03 9.150000e-04 9.150000e-04
+2.312500e+03 6.250000e+01 6.250000e+01 4.150000e-03 8.310000e-04 8.310000e-04
+2.437500e+03 6.250000e+01 6.250000e+01 1.690000e-03 6.440000e-04 6.440000e-04
+2.562500e+03 6.250000e+01 6.250000e+01 2.430000e-03 7.140000e-04 7.140000e-04
+2.687500e+03 6.250000e+01 6.250000e+01 1.240000e-03 6.120000e-04 6.120000e-04
+2.812500e+03 6.250000e+01 6.250000e+01 5.210000e-04 4.990000e-04 4.990000e-04
+2.937500e+03 6.250000e+01 6.250000e+01 1.370000e-03 6.400000e-04 6.400000e-04
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d15-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d15-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d15-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d15-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.062500e+03 6.250000e+01 6.250000e+01 2.470000e-03 3.180000e-04 3.180000e-04
+2.187500e+03 6.250000e+01 6.250000e+01 1.560000e-03 2.030000e-04 2.030000e-04
+2.312500e+03 6.250000e+01 6.250000e+01 1.260000e-03 1.570000e-04 1.570000e-04
+2.437500e+03 6.250000e+01 6.250000e+01 7.100000e-04 6.100000e-05 6.100000e-05
+2.562500e+03 6.250000e+01 6.250000e+01 5.300000e-04 4.940000e-05 4.940000e-05
+2.687500e+03 6.250000e+01 6.250000e+01 3.820000e-04 4.620000e-05 4.620000e-05
+2.812500e+03 6.250000e+01 6.250000e+01 2.550000e-04 4.860000e-05 4.860000e-05
+2.937500e+03 6.250000e+01 6.250000e+01 1.200000e-04 3.300000e-05 3.300000e-05
+3.062500e+03 6.250000e+01 6.250000e+01 5.730000e-05 2.270000e-05 2.270000e-05
+3.187500e+03 6.250000e+01 6.250000e+01 3.210000e-05 1.740000e-05 1.740000e-05
+3.312500e+03 6.250000e+01 6.250000e+01 3.160000e-05 1.790000e-05 1.790000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d15-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d15-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.812500e+03 6.250000e+01 6.250000e+01 4.140000e-03 1.080000e-03 1.080000e-03
+1.937500e+03 6.250000e+01 6.250000e+01 3.800000e-03 6.610000e-04 6.610000e-04
+2.062500e+03 6.250000e+01 6.250000e+01 3.810000e-03 5.910000e-04 5.910000e-04
+2.187500e+03 6.250000e+01 6.250000e+01 2.240000e-03 3.910000e-04 3.910000e-04
+2.312500e+03 6.250000e+01 6.250000e+01 1.890000e-03 3.190000e-04 3.190000e-04
+2.437500e+03 6.250000e+01 6.250000e+01 1.470000e-03 2.640000e-04 2.640000e-04
+2.562500e+03 6.250000e+01 6.250000e+01 9.450000e-04 2.050000e-04 2.050000e-04
+2.687500e+03 6.250000e+01 6.250000e+01 4.170000e-04 1.470000e-04 1.470000e-04
+2.812500e+03 6.250000e+01 6.250000e+01 4.560000e-04 1.350000e-04 1.350000e-04
+2.937500e+03 6.250000e+01 6.250000e+01 8.610000e-05 9.660000e-05 9.660000e-05
+3.062500e+03 6.250000e+01 6.250000e+01 1.740000e-05 1.740000e-05 1.740000e-05 #manually added
+3.187500e+03 6.250000e+01 6.250000e+01 2.740000e-04 1.240000e-04 1.240000e-04
+3.312500e+03 6.250000e+01 6.250000e+01 1.150000e-04 8.870000e-05 8.870000e-05
+3.437500e+03 6.250000e+01 6.250000e+01 2.970000e-05 5.380000e-05 5.380000e-05
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d16-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d16-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d16-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d16-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.312500e+03 6.250000e+01 6.250000e+01 5.330000e-04 3.020000e-04 3.020000e-04
+2.437500e+03 6.250000e+01 6.250000e+01 3.190000e-04 1.410000e-04 1.410000e-04
+2.562500e+03 6.250000e+01 6.250000e+01 2.080000e-04 7.780000e-05 7.780000e-05
+2.687500e+03 6.250000e+01 6.250000e+01 1.190000e-04 4.190000e-05 4.190000e-05
+2.812500e+03 6.250000e+01 6.250000e+01 1.110000e-04 3.700000e-05 3.700000e-05
+2.937500e+03 6.250000e+01 6.250000e+01 3.350000e-05 1.590000e-05 1.590000e-05
+3.062500e+03 6.250000e+01 6.250000e+01 2.980000e-05 1.290000e-05 1.290000e-05
+3.187500e+03 6.250000e+01 6.250000e+01 5.220000e-06 3.450000e-06 3.450000e-06
+3.312500e+03 6.250000e+01 6.250000e+01 3.320000e-06 2.530000e-06 2.530000e-06
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d16-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d16-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.437500e+03 6.250000e+01 6.250000e+01 5.460000e-04 2.570000e-04 2.570000e-04
+2.562500e+03 6.250000e+01 6.250000e+01 4.850000e-04 1.370000e-04 1.370000e-04
+2.687500e+03 6.250000e+01 6.250000e+01 2.690000e-04 1.040000e-04 1.040000e-04
+2.812500e+03 6.250000e+01 6.250000e+01 2.700000e-04 9.970000e-05 9.970000e-05
+2.937500e+03 6.250000e+01 6.250000e+01 1.840000e-04 7.340000e-05 7.340000e-05
+3.062500e+03 6.250000e+01 6.250000e+01 6.770000e-05 4.600000e-05 4.600000e-05
+3.187500e+03 6.250000e+01 6.250000e+01 0.550000e-05 0.550000e-05 0.550000e-05 #manually added
+3.437500e+03 6.250000e+01 6.250000e+01 0.615000e-05 0.615000e-05 0.615000e-05 #manually added
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d17-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d17-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 8.540000e-02 4.700000e-02 4.700000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 1.110000e-01 5.420000e-02 5.420000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 1.490000e-01 7.670000e-02 7.670000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 2.110000e-01 9.220000e-02 9.220000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 2.290000e-01 9.860000e-02 9.860000e-02
+2.750000e-01 2.500000e-02 2.500000e-02 2.280000e-01 7.710000e-02 7.710000e-02
+3.250000e-01 2.500000e-02 2.500000e-02 1.840000e-01 6.090000e-02 6.090000e-02
+3.750000e-01 2.500000e-02 2.500000e-02 2.030000e-01 7.260000e-02 7.260000e-02
+4.250000e-01 2.500000e-02 2.500000e-02 1.950000e-01 8.440000e-02 8.440000e-02
+4.750000e-01 2.500000e-02 2.500000e-02 1.590000e-01 8.320000e-02 8.320000e-02
+5.250000e-01 2.500000e-02 2.500000e-02 2.100000e-01 1.240000e-01 1.240000e-01
+5.750000e-01 2.500000e-02 2.500000e-02 2.060000e-01 1.400000e-01 1.400000e-01
+6.250000e-01 2.500000e-02 2.500000e-02 2.250000e-01 1.730000e-01 1.730000e-01
+6.750000e-01 2.500000e-02 2.500000e-02 2.740000e-01 2.320000e-01 2.320000e-01
+7.250000e-01 2.500000e-02 2.500000e-02 4.180000e-01 3.840000e-01 3.840000e-01
+7.750000e-01 2.500000e-02 2.500000e-02 2.690000e-01 2.690000e-01 2.940000e-01
+8.250000e-01 2.500000e-02 2.500000e-02 1.630000e-01 1.630000e-01 2.660000e-01
+8.750000e-01 2.500000e-02 2.500000e-02 8.590000e-01 8.590000e-01 9.920000e-01
+9.250000e-01 2.500000e-02 2.500000e-02 1.100000e-05 1.100000e-05 1.160000e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d17-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d17-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+7.500000e-02 2.500000e-02 2.500000e-02 1.120000e-01 4.920000e-02 4.920000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 1.420000e-01 5.860000e-02 5.860000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 1.760000e-01 7.390000e-02 7.390000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 1.690000e-01 7.190000e-02 7.190000e-02
+2.750000e-01 2.500000e-02 2.500000e-02 1.210000e-01 4.440000e-02 4.440000e-02
+3.250000e-01 2.500000e-02 2.500000e-02 1.320000e-01 4.750000e-02 4.750000e-02
+3.750000e-01 2.500000e-02 2.500000e-02 1.170000e-01 5.320000e-02 5.320000e-02
+4.250000e-01 2.500000e-02 2.500000e-02 1.170000e-01 6.550000e-02 6.550000e-02
+4.750000e-01 2.500000e-02 2.500000e-02 1.280000e-01 8.460000e-02 8.460000e-02
+5.250000e-01 2.500000e-02 2.500000e-02 1.670000e-01 1.240000e-01 1.240000e-01
+5.750000e-01 2.500000e-02 2.500000e-02 8.960000e-02 8.250000e-02 8.250000e-02
+6.250000e-01 2.500000e-02 2.500000e-02 9.990000e-02 9.990000e-02 1.040000e-01
+6.750000e-01 2.500000e-02 2.500000e-02 2.290000e-01 2.290000e-01 2.310000e-01
+7.250000e-01 2.500000e-02 2.500000e-02 3.310000e-02 3.310000e-02 1.090000e-01
+7.750000e-01 2.500000e-02 2.500000e-02 9.710000e-02 9.710000e-02 1.960000e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d17-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d17-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.250000e-01 2.500000e-02 2.500000e-02 1.250000e-01 5.200000e-02 5.200000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 1.600000e-01 6.790000e-02 6.790000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 1.150000e-01 4.610000e-02 4.610000e-02
+2.750000e-01 2.500000e-02 2.500000e-02 8.530000e-02 3.260000e-02 3.260000e-02
+3.250000e-01 2.500000e-02 2.500000e-02 8.890000e-02 4.080000e-02 4.080000e-02
+3.750000e-01 2.500000e-02 2.500000e-02 9.240000e-02 5.550000e-02 5.550000e-02
+4.250000e-01 2.500000e-02 2.500000e-02 1.100000e-01 8.050000e-02 8.050000e-02
+4.750000e-01 2.500000e-02 2.500000e-02 1.120000e-01 1.030000e-01 1.030000e-01
+5.250000e-01 2.500000e-02 2.500000e-02 2.100000e-02 2.100000e-02 5.780000e-02
+5.750000e-01 2.500000e-02 2.500000e-02 4.800000e-02 4.800000e-02 9.110000e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d18-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d18-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 8.990000e-02 4.550000e-02 4.550000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 1.020000e-01 4.600000e-02 4.600000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 1.180000e-01 5.410000e-02 5.410000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 1.150000e-01 4.960000e-02 4.960000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 8.380000e-02 3.110000e-02 3.110000e-02
+2.750000e-01 2.500000e-02 2.500000e-02 8.270000e-02 3.760000e-02 3.760000e-02
+3.250000e-01 2.500000e-02 2.500000e-02 1.370000e-01 7.890000e-02 7.890000e-02
+3.750000e-01 2.500000e-02 2.500000e-02 1.240000e-01 9.880000e-02 9.880000e-02
+4.250000e-01 2.500000e-02 2.500000e-02 6.080000e-02 6.080000e-02 7.410000e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d18-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d18-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 9.560000e-02 5.100000e-02 5.100000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 1.090000e-01 5.360000e-02 5.360000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 9.780000e-02 4.900000e-02 4.900000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 7.980000e-02 3.080000e-02 3.080000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 7.810000e-02 3.510000e-02 3.510000e-02
+2.750000e-01 2.500000e-02 2.500000e-02 8.540000e-02 5.530000e-02 5.530000e-02
+3.250000e-01 2.500000e-02 2.500000e-02 4.000000e-02 4.000000e-02 4.210000e-02
+3.750000e-01 2.500000e-02 2.500000e-02 1.100000e-05 1.100000e-05 6.110000e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d18-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d18-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 1.130000e-01 6.960000e-02 6.960000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 9.910000e-02 5.540000e-02 5.540000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 6.620000e-02 3.110000e-02 3.110000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 7.790000e-02 3.470000e-02 3.470000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 1.180000e-01 7.620000e-02 7.620000e-02
+2.750000e-01 2.500000e-02 2.500000e-02 4.450000e-02 4.450000e-02 5.070000e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d19-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d19-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 7.830000e-02 5.730000e-02 5.730000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 7.160000e-02 3.700000e-02 3.700000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 4.810000e-02 2.710000e-02 2.710000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 1.420000e-01 9.450000e-02 9.450000e-02
+2.250000e-01 2.500000e-02 2.500000e-02 1.920000e-02 1.920000e-02 4.110000e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d19-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d19-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 1.890000e-02 1.890000e-02 2.610000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 6.420000e-02 2.980000e-02 2.980000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 1.380000e-01 9.050000e-02 9.050000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 4.750000e-02 4.750000e-02 5.260000e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d19-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d19-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 3.920000e-02 3.550000e-02 3.550000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 4.780000e-02 4.780000e-02 5.020000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 1.320000e-02 1.320000e-02 5.040000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 2.060000e-01 2.060000e-01 2.380000e-01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d20-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d20-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+2.500000e-02 2.500000e-02 2.500000e-02 1.440000e-02 1.440000e-02 1.960000e-02
+7.500000e-02 2.500000e-02 2.500000e-02 1.100000e-05 1.100000e-05 5.600000e-02
+1.250000e-01 2.500000e-02 2.500000e-02 3.000000e-02 3.000000e-02 4.240000e-02
+1.750000e-01 2.500000e-02 2.500000e-02 4.750000e-02 4.750000e-02 5.260000e-02
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d21-x01-y01
+Path=/REF/LHCF_2016_I1385877/d21-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+9.700000e+00 1.000000e-01 1.000000e-01 4.670000e-05 1.206000e-05 1.206000e-05
+9.500000e+00 1.000000e-01 1.000000e-01 3.119000e-04 5.203000e-05 5.203000e-05
+9.300000e+00 1.000000e-01 1.000000e-01 1.167000e-03 1.517000e-04 1.517000e-04
+9.100000e+00 1.000000e-01 1.000000e-01 2.539000e-03 7.235000e-04 7.235000e-04
+8.900000e+00 1.000000e-01 1.000000e-01 4.643000e-03 2.241000e-03 2.241000e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d21-x01-y02
+Path=/REF/LHCF_2016_I1385877/d21-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.050000e+01 1.000000e-01 1.000000e-01 8.570000e-05 1.035000e-05 1.035000e-05
+1.030000e+01 1.000000e-01 1.000000e-01 5.019000e-04 4.472000e-05 4.472000e-05
+1.010000e+01 1.000000e-01 1.000000e-01 1.686000e-03 1.259000e-04 1.259000e-04
+9.900000e+00 1.000000e-01 1.000000e-01 4.489000e-03 2.202000e-04 2.202000e-04
+9.700000e+00 1.000000e-01 1.000000e-01 9.657000e-03 4.881000e-04 4.881000e-04
+9.500000e+00 1.000000e-01 1.000000e-01 1.709000e-02 8.201000e-04 8.201000e-04
+9.300000e+00 1.000000e-01 1.000000e-01 2.773000e-02 1.392000e-03 1.392000e-03
+9.100000e+00 1.000000e-01 1.000000e-01 4.043000e-02 2.803000e-03 2.803000e-03
+8.900000e+00 1.000000e-01 1.000000e-01 4.436000e-02 4.186000e-03 4.186000e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d22-x01-y01
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d22-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-9.130000e-01 1.000000e-01 1.000000e-01 1.035000e+02 7.500000e+00 7.500000e+00
+-1.113000e-00 1.000000e-01 1.000000e-01 7.850000e+01 7.800000e+00 7.800000e+00
+-1.313000e-00 1.000000e-01 1.000000e-01 7.640000e+01 5.700000e+00 5.700000e+00
+-1.513000e-00 1.000000e-01 1.000000e-01 6.030000e+01 5.200000e+00 5.200000e+00
+-1.713000e-00 1.000000e-01 1.000000e-01 5.040000e+01 1.040000e+01 1.040000e+01
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d22-x01-y02
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d22-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.700000e-02 1.000000e-01 1.000000e-01 2.428000e+02 8.600000e+00 8.600000e+00
+-1.83000e-01 1.000000e-01 1.000000e-01 2.085000e+02 6.100000e+00 6.100000e+00
+-3.83000e-01 1.000000e-01 1.000000e-01 1.826000e+02 4.300000e+00 4.300000e+00
+-5.83000e-01 1.000000e-01 1.000000e-01 1.602000e+02 3.800000e+00 3.800000e+00
+-7.83000e-01 1.000000e-01 1.000000e-01 1.323000e+02 3.400000e+00 3.400000e+00
+-9.83000e-01 1.000000e-01 1.000000e-01 1.139000e+02 3.400000e+00 3.400000e+00
+-1.183000e-00 1.000000e-01 1.000000e-01 8.730000e+01 3.900000e+00 3.900000e+00
+-1.383000e-00 1.000000e-01 1.000000e-01 6.750000e+01 3.000000e+00 3.000000e+00
+-1.583000e-00 1.000000e-01 1.000000e-01 5.560000e+01 3.100000e+00 3.100000e+00
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d22-x01-y03
+IsRef=1
+Path=/REF/LHCF_2016_I1385877/d22-x01-y03
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+1.510000e-01 1.000000e-01 1.000000e-01 2.445000e+02 4.320000e+01 4.320000e+01
+-4.900000e-02 1.000000e-01 1.000000e-01 2.231000e+02 1.270000e+01 1.270000e+01
+-2.490000e-01 1.000000e-01 1.000000e-01 1.899000e+02 7.600000e+00 7.600000e+00
+-4.490000e-01 1.000000e-01 1.000000e-01 1.738000e+02 1.720000e+01 1.720000e+01
+-6.490000e-01 1.000000e-01 1.000000e-01 1.381000e+02 1.870000e+01 1.870000e+01
+-8.490000e-01 1.000000e-01 1.000000e-01 1.130000e+02 6.300000e+00 6.300000e+00
+-1.049000e-00 1.000000e-01 1.000000e-01 1.122000e+02 1.540000e+01 1.540000e+01
+-1.249000e-00 1.000000e-01 1.000000e-01 9.070000e+01 6.700000e+00 6.700000e+00
+-1.449000e-00 1.000000e-01 1.000000e-01 6.100000e+01 6.600000e+00 6.600000e+00
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d23-x01-y01
+Path=/REF/LHCF_2016_I1385877/d23-x01-y01
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-1.713000e-00 1.000000e-01 1.000000e-01 4.670000e-05 1.206000e-05 1.206000e-05
+-1.513000e-00 1.000000e-01 1.000000e-01 3.119000e-04 5.203000e-05 5.203000e-05
+-1.313000e-00 1.000000e-01 1.000000e-01 1.167000e-03 1.517000e-04 1.517000e-04
+-1.113000e-00 1.000000e-01 1.000000e-01 2.539000e-03 7.235000e-04 7.235000e-04
+-9.130000e-01 1.000000e-01 1.000000e-01 4.643000e-03 2.241000e-03 2.241000e-03
+END YODA_SCATTER2D
+
+BEGIN YODA_SCATTER2D /REF/LHCF_2016_I1385877/d23-x01-y02
+Path=/REF/LHCF_2016_I1385877/d23-x01-y02
+Type=Scatter2D
+# xval xerr- xerr+ yval yerr- yerr+
+-1.583000e-00 1.000000e-01 1.000000e-01 8.570000e-05 1.035000e-05 1.035000e-05
+-1.383000e-00 1.000000e-01 1.000000e-01 5.019000e-04 4.472000e-05 4.472000e-05
+-1.183000e-00 1.000000e-01 1.000000e-01 1.686000e-03 1.259000e-04 1.259000e-04
+-9.830000e-01 1.000000e-01 1.000000e-01 4.489000e-03 2.202000e-04 2.202000e-04
+-7.830000e-01 1.000000e-01 1.000000e-01 9.657000e-03 4.881000e-04 4.881000e-04
+-5.830000e-01 1.000000e-01 1.000000e-01 1.709000e-02 8.201000e-04 8.201000e-04
+-3.830000e-01 1.000000e-01 1.000000e-01 2.773000e-02 1.392000e-03 1.392000e-03
+-1.830000e-01 1.000000e-01 1.000000e-01 4.043000e-02 2.803000e-03 2.803000e-03
+1.700000e-02 1.000000e-01 1.000000e-01 4.436000e-02 4.186000e-03 4.186000e-03
+END YODA_SCATTER2D
diff --git a/analyses/pluginMC/EXAMPLE.cc b/analyses/pluginMC/EXAMPLE.cc
--- a/analyses/pluginMC/EXAMPLE.cc
+++ b/analyses/pluginMC/EXAMPLE.cc
@@ -1,102 +1,102 @@
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/ChargedFinalState.hh"
#include "Rivet/Projections/FastJets.hh"
#include "Rivet/Projections/Thrust.hh"
#include "Rivet/Projections/Sphericity.hh"
namespace Rivet {
- /// @brief Just measures a few random things as an example.
+ /// @brief Just measures a few observables as a demo
class EXAMPLE : public Analysis {
public:
/// Constructor
DEFAULT_RIVET_ANALYSIS_CTOR(EXAMPLE);
/// @name Analysis methods
//@{
/// Set up projections and book histograms
void init() {
// Projections
const FinalState cnfs(Cuts::abseta < 2.5 && Cuts::pT > 500*MeV);
const ChargedFinalState cfs(cnfs);
declare(cnfs, "FS");
declare(cfs, "CFS");
declare(FastJets(cnfs, FastJets::ANTIKT, 0.4), "Jets");
declare(Thrust(cfs), "Thrust");
declare(Sphericity(cfs), "Sphericity");
// Histograms
book(_histTot ,"TotalMult", 100, -0.5, 99.5);
book(_histChTot ,"TotalChMult", 50, -1.0, 99.0);
book(_histHadrTot ,"HadrTotalMult", 100, -0.5, 99.5);
book(_histHadrChTot ,"HadrTotalChMult", 50, -1.0, 99.0);
book(_histMajor ,"Major", 10, 0.0, 0.6);
book(_histSphericity ,"Sphericity", 10, 0.0, 0.8);
book(_histAplanarity ,"Aplanarity", 10, 0.0, 0.3);
book(_histThrust ,"Thrust", { 0.5, 0.6, 0.7, 0.80, 0.85, 0.9, 0.92, 0.94, 0.96, 0.98, 1.0 });
}
/// Do the analysis
void analyze(const Event& event) {
const Particles& cnparticles = apply<FinalState>(event, "FS").particles();
MSG_DEBUG("Total multiplicity = " << cnparticles.size());
_histTot->fill(cnparticles.size());
int cnhadronmult = 0;
for (const Particle& p : cnparticles)
if (isHadron(p)) cnhadronmult += 1;
MSG_DEBUG("Hadron multiplicity = " << cnhadronmult);
_histHadrTot->fill(cnhadronmult);
const Particles& cparticles = apply<FinalState>(event, "CFS").particles();
MSG_DEBUG("Total charged multiplicity = " << cparticles.size());
_histChTot->fill(cparticles.size());
int chadronmult = 0;
for (const Particle& p : cparticles)
if (isHadron(p)) chadronmult += 1;
MSG_DEBUG("Hadron charged multiplicity = " << chadronmult);
_histHadrChTot->fill(chadronmult);
const Thrust& t = apply<Thrust>(event, "Thrust");
MSG_DEBUG("Thrust = " << t.thrust());
_histThrust->fill(t.thrust());
_histMajor->fill(t.thrustMajor());
const Sphericity& s = apply<Sphericity>(event, "Sphericity");
MSG_DEBUG("Sphericity = " << s.sphericity());
_histSphericity->fill(s.sphericity());
MSG_DEBUG("Aplanarity = " << s.aplanarity());
_histAplanarity->fill(s.aplanarity());
const Jets jets = apply<FastJets>(event, "Jets").jets(Cuts::pT > 5*GeV);
- const size_t num_b_jets = count_if(jets.begin(), jets.end(), [](const Jet& j){ return j.bTagged(Cuts::pT > 500*MeV); });
+ const size_t num_b_jets = count_if(jets.begin(), jets.end(), hasBTag(Cuts::pT > 500*MeV));
MSG_DEBUG("Num B-jets with pT > 5 GeV = " << num_b_jets);
}
/// Finalize
void finalize() {
normalize({_histTot, _histChTot, _histHadrTot, _histHadrChTot, _histThrust, _histMajor, _histSphericity, _histAplanarity});
}
//@}
//@{
/// Histograms
Histo1DPtr _histTot, _histChTot, _histHadrTot, _histHadrChTot, _histThrust, _histMajor, _histSphericity, _histAplanarity;
//@}
};
// The hook for the plugin system
DECLARE_RIVET_PLUGIN(EXAMPLE);
}
diff --git a/analyses/pluginMC/MC_FSPARTICLES.cc b/analyses/pluginMC/MC_FSPARTICLES.cc
new file mode 100644
--- /dev/null
+++ b/analyses/pluginMC/MC_FSPARTICLES.cc
@@ -0,0 +1,137 @@
+// -*- C++ -*-
+#include "Rivet/Analysis.hh"
+#include "Rivet/Projections/ChargedFinalState.hh"
+
+namespace Rivet {
+
+
+ /// Analysis looking at various distributions of final state particles
+ class MC_FSPARTICLES : public Analysis {
+ public:
+
+ /// Constructor
+ DEFAULT_RIVET_ANALYSIS_CTOR(MC_FSPARTICLES);
+
+
+ /// @name Analysis methods
+ //@{
+
+ /// Book histograms and initialise projections before the run
+ void init() {
+
+ // Projections
+ FinalState fs(Cuts::abseta < 5 && Cuts::pT > 500*MeV);
+ declare(fs, "FS");
+ declare(ChargedFinalState(fs), "CFS");
+
+ // Histograms
+ /// @todo Choose E/pT ranged based on input energies... can't do anything about kin. cuts, though
+ book(_histMult , "Mult", 100, -0.5, 199.5);
+ book(_histMultCh , "MultCh", 100, -0.5, 199.5);
+
+ book(_histPt , "Pt", 300, 0, 30);
+ book(_histPtCh , "PtCh", 300, 0, 30);
+
+ book(_histE , "E", 100, 0, 200);
+ book(_histECh , "ECh", 100, 0, 200);
+
+ book(_histEtaSumEt , "EtaSumEt", 25, 0, 5);
+
+ book(_histEta , "Eta", 50, -5, 5);
+ book(_histEtaCh , "EtaCh", 50, -5, 5);
+ book(_tmphistEtaPlus, "TMP/EtaPlus", 25, 0, 5);
+ book(_tmphistEtaMinus, "TMP/EtaMinus", 25, 0, 5);
+ book(_tmphistEtaChPlus, "TMP/EtaChPlus", 25, 0, 5);
+ book(_tmphistEtaChMinus, "TMP/EtaChMinus", 25, 0, 5);
+
+ book(_histRapidity , "Rapidity", 50, -5, 5);
+ book(_histRapidityCh , "RapidityCh", 50, -5, 5);
+ book(_tmphistRapPlus, "TMP/RapPlus", 25, 0, 5);
+ book(_tmphistRapMinus, "TMP/RapMinus", 25, 0, 5);
+ book(_tmphistRapChPlus, "TMP/RapChPlus", 25, 0, 5);
+ book(_tmphistRapChMinus, "TMP/RapChMinus", 25, 0, 5);
+
+ book(_histPhi , "Phi", 50, 0, TWOPI);
+ book(_histPhiCh , "PhiCh", 50, 0, TWOPI);
+
+ book(_histEtaPMRatio , "EtaPMRatio");
+ book(_histEtaChPMRatio , "EtaChPMRatio");
+ book(_histRapidityPMRatio , "RapidityPMRatio");
+ book(_histRapidityChPMRatio , "RapidityChPMRatio");
+ }
+
+
+ /// Perform the per-event analysis
+ void analyze(const Event& event) {
+ // Charged + neutral final state
+ const FinalState& fs = apply<FinalState>(event, "FS");
+ MSG_DEBUG("Total multiplicity = " << fs.size());
+ _histMult->fill(fs.size());
+ for (const Particle& p : fs.particles()) {
+ _histEta->fill(p.eta());
+ _histEtaSumEt->fill(p.abseta(), p.Et());
+ (p.eta() > 0 ? _tmphistEtaPlus : _tmphistEtaMinus)->fill(p.abseta());
+ //
+ _histRapidity->fill(p.rap());
+ (p.rap() > 0 ? _tmphistRapPlus : _tmphistRapMinus)->fill(p.absrap());
+ //
+ _histPt->fill(p.pT()/GeV);
+ _histE->fill(p.E()/GeV);
+ _histPhi->fill(p.phi());
+ }
+
+ // Same for the charged FS particles only
+ const FinalState& cfs = apply<FinalState>(event, "CFS");
+ MSG_DEBUG("Total charged multiplicity = " << cfs.size());
+ _histMultCh->fill(cfs.size());
+ for (const Particle& p : cfs.particles()) {
+ _histEtaCh->fill(p.eta());
+ (p.eta() > 0 ? _tmphistEtaChPlus : _tmphistEtaChMinus)->fill(p.abseta());
+ //
+ _histRapidityCh->fill(p.rap());
+ (p.rap() > 0 ? _tmphistRapChPlus : _tmphistRapChMinus)->fill(p.absrap());
+ //
+ _histPtCh->fill(p.pT()/GeV);
+ _histECh->fill(p.E()/GeV);
+ _histPhiCh->fill(p.phi());
+ }
+
+ }
+
+
+ /// Finalize
+ void finalize() {
+ normalize({_histMult, _histEta, _histRapidity, _histPt, _histE, _histPhi});
+ normalize({_histMultCh, _histEtaCh, _histRapidityCh, _histPtCh, _histECh, _histPhiCh});
+ divide(_tmphistEtaPlus, _tmphistEtaMinus, _histEtaPMRatio);
+ divide(_tmphistEtaChPlus, _tmphistEtaChMinus, _histEtaChPMRatio);
+ divide(_tmphistRapPlus, _tmphistRapMinus, _histRapidityPMRatio);
+ divide(_tmphistRapChPlus, _tmphistRapChMinus, _histRapidityChPMRatio);
+ }
+
+ //@}
+
+
+ private:
+
+ /// @name Histograms
+ //@{
+ Histo1DPtr _histMult, _histEta, _histRapidity, _histPt, _histE, _histPhi;
+ Histo1DPtr _histMultCh, _histEtaCh, _histRapidityCh, _histPtCh, _histECh, _histPhiCh;
+ Profile1DPtr _histEtaSumEt;
+ Scatter2DPtr _histEtaPMRatio, _histEtaChPMRatio, _histRapidityPMRatio, _histRapidityChPMRatio;
+ //@}
+
+ /// @name Temporary histos used to calculate +/- rapidity ratio plots
+ //@{
+ Histo1DPtr _tmphistEtaPlus, _tmphistEtaMinus, _tmphistEtaChPlus, _tmphistEtaChMinus;
+ Histo1DPtr _tmphistRapPlus, _tmphistRapMinus, _tmphistRapChPlus, _tmphistRapChMinus;
+ //@}
+
+ };
+
+
+ // The hook for the plugin system
+ DECLARE_RIVET_PLUGIN(MC_FSPARTICLES);
+
+}
diff --git a/analyses/pluginMC/MC_FSPARTICLES.info b/analyses/pluginMC/MC_FSPARTICLES.info
new file mode 100644
--- /dev/null
+++ b/analyses/pluginMC/MC_FSPARTICLES.info
@@ -0,0 +1,11 @@
+Name: MC_FSPARTICLES
+Summary: Final-state particle distributions
+Status: VALIDATED
+Authors:
+ - Ian Bruce <ibruce@cern.ch>
+ - Andy Buckley <andy.buckley@cern.ch>
+NumEvents: 5000
+RunInfo: Any!
+Description:
+ Generic analysis of typical per-particle distributions such as $\eta$, $y$,
+ $pT$, $\phi$\dots
diff --git a/analyses/pluginMC/MC_FSPARTICLES.plot b/analyses/pluginMC/MC_FSPARTICLES.plot
new file mode 100644
--- /dev/null
+++ b/analyses/pluginMC/MC_FSPARTICLES.plot
@@ -0,0 +1,125 @@
+# BEGIN PLOT /MC_FSPARTICLES/E$
+Title=Energy of all particles
+XLabel=$E$ [GeV]
+YLabel=$1/\sigma \; \mathrm{d}\sigma/\mathrm{d}E$ [GeV$^{-1}$]
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/ECh
+Title=Energy of charged particles
+XLabel=$E$ [GeV]
+YLabel=$1/\sigma \; \mathrm{d}\sigma/\mathrm{d}E$ [GeV$^{-1}$]
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/Eta
+XLabel=$\eta$
+YLabel=$1/\sigma \; \mathrm{d}\sigma/\mathrm{d}\eta$
+LogY=0
+LegendYPos=0.5
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/Eta$
+Title=Pseudorapidity of all particles
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/EtaCh
+Title=Pseudorapidity of charged particles
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/Eta.*PMRatio
+XLabel=$|\eta|$
+YLabel=$\mathrm{d}\sigma/\mathrm{d}\eta_+ \; / \; \mathrm{d}\sigma/\mathrm{d}\eta_-$
+LogY=0
+LegendYPos=0.5
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/EtaPMRatio
+Title=Pseudorapidity $+/-$ ratio of all particles
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/EtaChPMRatio
+Title=Pseudorapidity $+/-$ ratio of charged particles
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/EtaSumEt
+Title=Pseudorapidity distribution of $\langle \sum E_\perp \rangle$
+XLabel=$\eta$
+YLabel=$\langle \sum E_\perp \rangle$
+LogY=0
+LegendYPos=0.5
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/MultCh
+Title=Charged multiplicity of events
+XLabel=$N_\text{ch}$
+YLabel=$1/\sigma \; \mathrm{d}\sigma/\mathrm{d}N_\text{ch}$
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/Mult$
+Title=Total multiplicity of events
+XLabel=$N$
+YLabel=$1/\sigma \; \mathrm{d}\sigma/\mathrm{d}N$
+LogY=0
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/Phi$
+Title=Azimuthal distribution of all particles
+XLabel=$\phi$
+YLabel=$1/\sigma \; \mathrm{d}\sigma/\mathrm{d}\phi$
+LogY=0
+LegendYPos=0.5
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/PhiCh
+Title=Azimuthal distribution of charged particles
+XLabel=$\phi$
+YLabel=$1/\sigma \; \mathrm{d}\sigma/\mathrm{d}\phi$
+LogY=0
+LegendYPos=0.5
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/Pt$
+Title=Transverse momentum of all particles
+XLabel=$p_\perp$ [GeV]
+YLabel=$1/\sigma \; \mathrm{d}\sigma/\mathrm{d}p_\perp$ [GeV$^{-1}$]
+FullRange=1
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/PtCh
+Title=Transverse momentum of charged particles
+XLabel=$p_\perp$ [GeV]
+YLabel=$1/\sigma \; \mathrm{d}\sigma/\mathrm{d}p_\perp$ [GeV$^{-1}$]
+FullRange=1
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/Rapidity$
+Title=Rapidity of all particles
+XLabel=$y$
+YLabel=$1/\sigma \; \mathrm{d}\sigma/\mathrm{d}y$
+LogY=0
+LegendYPos=0.5
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/RapidityPMRatio
+Title=Rapidity $+/-$ ratio of all particles
+XLabel=$|y|$
+YLabel=$\mathrm{d}\sigma/\mathrm{d}y_+ \; / \; \mathrm{d}\sigma/\mathrm{d}y_-$
+LogY=0
+LegendYPos=0.5
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/RapidityCh$
+Title=Rapidity of charged particles
+XLabel=$y$
+YLabel=$1/\sigma \; \mathrm{d}\sigma/\mathrm{d}y$
+LogY=0
+LegendYPos=0.5
+# END PLOT
+
+# BEGIN PLOT /MC_FSPARTICLES/RapidityChPMRatio
+Title=Rapidity $+/-$ ratio of charged particles
+XLabel=$|y|$
+YLabel=$\mathrm{d}\sigma/\mathrm{d}y_+ \; / \; \mathrm{d}\sigma/\mathrm{d}y_-$
+LogY=0
+LegendYPos=0.5
+# END PLOT
diff --git a/analyses/pluginMC/MC_GENERIC.cc b/analyses/pluginMC/MC_GENERIC.cc
--- a/analyses/pluginMC/MC_GENERIC.cc
+++ b/analyses/pluginMC/MC_GENERIC.cc
@@ -1,139 +1,140 @@
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/ChargedFinalState.hh"
namespace Rivet {
/// Generic analysis looking at various distributions of final state particles
+ /// @deprecated Replaced by the better-named MC_FSPARTICLES
class MC_GENERIC : public Analysis {
public:
/// Constructor
DEFAULT_RIVET_ANALYSIS_CTOR(MC_GENERIC);
/// @name Analysis methods
//@{
/// Book histograms and initialise projections before the run
void init() {
// Projections
const FinalState fs(Cuts::abseta < 5 && Cuts::pT > 500*MeV);
declare(fs, "FS");
declare(ChargedFinalState(fs), "CFS");
// Histograms
/// @todo Choose E/pT ranged based on input energies... can't do anything about kin. cuts, though
book(_histMult ,"Mult", 100, -0.5, 199.5);
book(_histMultCh ,"MultCh", 100, -0.5, 199.5);
book(_histPt ,"Pt", 300, 0, 30);
book(_histPtCh ,"PtCh", 300, 0, 30);
book(_histE ,"E", 100, 0, 200);
book(_histECh ,"ECh", 100, 0, 200);
book(_histEtaSumEt ,"EtaSumEt", 25, 0, 5);
book(_histEta ,"Eta", 50, -5, 5);
book(_histEtaCh ,"EtaCh", 50, -5, 5);
_tmphistEtaPlus = Histo1D(25, 0, 5);
_tmphistEtaMinus = Histo1D(25, 0, 5);
_tmphistEtaChPlus = Histo1D(25, 0, 5);
_tmphistEtaChMinus = Histo1D(25, 0, 5);
book(_histRapidity ,"Rapidity", 50, -5, 5);
book(_histRapidityCh ,"RapidityCh", 50, -5, 5);
_tmphistRapPlus = Histo1D(25, 0, 5);
_tmphistRapMinus = Histo1D(25, 0, 5);
_tmphistRapChPlus = Histo1D(25, 0, 5);
_tmphistRapChMinus = Histo1D(25, 0, 5);
book(_histPhi ,"Phi", 50, 0, TWOPI);
book(_histPhiCh ,"PhiCh", 50, 0, TWOPI);
book(_histEtaPMRatio, "EtaPMRatio");
book(_histEtaChPMRatio, "EtaChPMRatio");
book(_histRapidityPMRatio, "RapidityPMRatio");
book(_histRapidityChPMRatio, "RapidityChPMRatio");
}
/// Perform the per-event analysis
void analyze(const Event& event) {
// Charged + neutral final state
const FinalState& fs = apply<FinalState>(event, "FS");
MSG_DEBUG("Total multiplicity = " << fs.size());
_histMult->fill(fs.size());
for (const Particle& p : fs.particles()) {
_histEta->fill(p.eta());
_histEtaSumEt->fill(p.abseta(), p.Et());
(p.eta() > 0 ? _tmphistEtaPlus : _tmphistEtaMinus).fill(p.abseta());
//
_histRapidity->fill(p.rap());
(p.rap() > 0 ? _tmphistRapPlus : _tmphistRapMinus).fill(p.absrap());
//
_histPt->fill(p.pT()/GeV);
_histE->fill(p.E()/GeV);
_histPhi->fill(p.phi());
}
// Same for the charged FS particles only
const FinalState& cfs = apply<FinalState>(event, "CFS");
MSG_DEBUG("Total charged multiplicity = " << cfs.size());
_histMultCh->fill(cfs.size());
for (const Particle& p : cfs.particles()) {
_histEtaCh->fill(p.eta());
(p.eta() > 0 ? _tmphistEtaChPlus : _tmphistEtaChMinus).fill(p.abseta());
//
_histRapidityCh->fill(p.rap());
(p.rap() > 0 ? _tmphistRapChPlus : _tmphistRapChMinus).fill(p.absrap());
//
_histPtCh->fill(p.pT()/GeV);
_histECh->fill(p.E()/GeV);
_histPhiCh->fill(p.phi());
}
}
/// Finalize
void finalize() {
normalize({_histMult, _histEta, _histRapidity, _histPt, _histE, _histPhi});
normalize({_histMultCh, _histEtaCh, _histRapidityCh, _histPtCh, _histECh, _histPhiCh});
divide(_tmphistEtaPlus, _tmphistEtaMinus, _histEtaPMRatio);
divide(_tmphistEtaChPlus, _tmphistEtaChMinus, _histEtaChPMRatio);
divide(_tmphistRapPlus, _tmphistRapMinus, _histRapidityPMRatio);
divide(_tmphistRapChPlus, _tmphistRapChMinus, _histRapidityChPMRatio);
}
//@}
private:
/// @name Histograms
//@{
Histo1DPtr _histMult, _histEta, _histRapidity, _histPt, _histE, _histPhi;
Histo1DPtr _histMultCh, _histEtaCh, _histRapidityCh, _histPtCh, _histECh, _histPhiCh;
Profile1DPtr _histEtaSumEt;
Scatter2DPtr _histEtaPMRatio, _histEtaChPMRatio, _histRapidityPMRatio, _histRapidityChPMRatio;
//@}
/// @name Temporary histos used to calculate +/- rapidity ratio plots
//@{
Histo1D _tmphistEtaPlus, _tmphistEtaMinus, _tmphistEtaChPlus, _tmphistEtaChMinus;
Histo1D _tmphistRapPlus, _tmphistRapMinus, _tmphistRapChPlus, _tmphistRapChMinus;
//@}
};
// The hook for the plugin system
DECLARE_RIVET_PLUGIN(MC_GENERIC);
}
diff --git a/bin/Makefile.am b/bin/Makefile.am
--- a/bin/Makefile.am
+++ b/bin/Makefile.am
@@ -1,34 +1,34 @@
bin_SCRIPTS = rivet-config rivet-buildplugin
-dist_bin_SCRIPTS = make-plots
+dist_bin_SCRIPTS = make-plots make-pgfplots
EXTRA_DIST =
RIVETPROGS = \
rivet \
rivet-mkanalysis \
rivet-findid rivet-which \
rivet-cmphistos rivet-mkhtml
if ENABLE_PYEXT
dist_bin_SCRIPTS += $(RIVETPROGS)
else
EXTRA_DIST += $(RIVETPROGS)
endif
## bash completion
if ENABLE_PYEXT
dist_pkgdata_DATA = rivet-completion
bashcomp_dir = $(DESTDIR)$(prefix)/etc/bash_completion.d
install-data-local:
if [[ -d "$(bashcomp_dir)" && -w "$(bashcomp_dir)" ]]; then \
$(install_sh_DATA) rivet-completion $(bashcomp_dir)/; fi
uninstall-local:
rm -f $(bashcomp_dir)/rivet-completion
else
EXTRA_DIST += rivet-completion
endif
## No-Python Rivet program
noinst_PROGRAMS = rivet-nopy
rivet_nopy_SOURCES = rivet-nopy.cc
rivet_nopy_CPPFLAGS = -I$(top_srcdir)/include $(AM_CPPFLAGS)
rivet_nopy_LDFLAGS = -L$(HEPMCLIBPATH)
rivet_nopy_LDADD = $(top_builddir)/src/libRivet.la -lHepMC
diff --git a/bin/make-pgfplots b/bin/make-pgfplots
new file mode 100755
--- /dev/null
+++ b/bin/make-pgfplots
@@ -0,0 +1,2802 @@
+#! /usr/bin/env python
+
+"""\
+Usage: %prog [options] file.dat [file2.dat ...]
+
+TODO
+ * Optimise output for e.g. lots of same-height bins in a row
+ * Add a RatioFullRange directive to show the full range of error bars + MC envelope in the ratio
+ * Tidy LaTeX-writing code -- faster to compile one doc only, then split it?
+ * Handle boolean values flexibly (yes, no, true, false, etc. as well as 1, 0)
+"""
+
+from __future__ import print_function
+
+##
+## This program is copyright by Christian Gutschow <chris.g@cern.ch> and
+## the Rivet team https://rivet.hepforge.org. It may be used
+## for scientific and private purposes. Patches are welcome, but please don't
+## redistribute changed versions yourself.
+##
+
+## Check the Python version
+import sys
+if sys.version_info[:3] < (2,6,0):
+ print("make-plots requires Python version >= 2.6.0... exiting")
+ sys.exit(1)
+
+## Try to rename the process on Linux
+try:
+ import ctypes
+ libc = ctypes.cdll.LoadLibrary('libc.so.6')
+ libc.prctl(15, 'make-plots', 0, 0, 0)
+except Exception as e:
+ pass
+
+
+import os, logging, re
+import tempfile
+import getopt
+import string
+import copy
+from math import *
+
+
+## Regex patterns
+pat_begin_block = re.compile(r'^#+\s*BEGIN ([A-Z0-9_]+) ?(\S+)?')
+pat_end_block = re.compile('^#+\s*END ([A-Z0-9_]+)')
+pat_comment = re.compile('^#|^\s*$')
+pat_property = re.compile('^(\w+?)=(.*)$')
+pat_path_property = re.compile('^(\S+?)::(\w+?)=(.*)$')
+
+def fuzzyeq(a, b, tolerance=1e-6):
+ "Fuzzy equality comparison function for floats, with given fractional tolerance"
+ # if type(a) is not float or type(a) is not float:
+ # print(a, b)
+ if (a == 0 and abs(b) < 1e-12) or (b == 0 and abs(a) < 1e-12):
+ return True
+ return 2.0*abs(a-b) < tolerance * abs(a+b)
+
+def inrange(x, a, b):
+ return x >= a and x < b
+
+def floatify(x):
+ if type(x) is str:
+ x = x.split()
+ if not hasattr(x, "__len__"):
+ x = [x]
+ x = [float(a) for a in x]
+ return x[0] if len(x) == 1 else x
+
+def floatpair(x):
+ if type(x) is str:
+ x = x.split()
+ if hasattr(x, "__len__"):
+ assert len(x) == 2
+ return [float(a) for a in x]
+ return [float(x), float(x)]
+
+
+def is_end_marker(line, blockname):
+ m = pat_end_block.match(line)
+ return m and m.group(1) == blockname
+
+def is_comment(line):
+ return pat_comment.match(line) is not None
+
+def checkColor(line):
+ if '[RGB]' in line:
+ # e.g. '{[RGB]{1,2,3}}'
+ if line[0] == '{' and line[-1] == '}': line = line[1:-1]
+ # i.e. '[RGB]{1,2,3}'
+ composition = line.split('{')[1][:-1]
+ # e.g. '1,2,3'
+ line = '{rgb,255:red,%s;green,%s;blue,%s}' % tuple(composition.split(','))
+ return line
+
+
+class Described(object):
+ "Inherited functionality for objects holding a 'props' dictionary"
+
+ def __init__(self):
+ pass
+
+ def has_attr(self, key):
+ return key in self.props
+
+ def set_attr(self, key, val):
+ self.props[key] = val
+
+ def attr(self, key, default=None):
+ return self.props.get(key, default)
+
+ def attr_bool(self, key, default=None):
+ x = self.attr(key, default)
+ if str(x).lower() in ["1", "true", "yes", "on"]: return True
+ if str(x).lower() in ["0", "false", "no", "off"]: return False
+ return None
+
+ def attr_int(self, key, default=None):
+ x = self.attr(key, default)
+ try:
+ x = int(x)
+ except:
+ x = None
+ return x
+
+ def attr_float(self, key, default=None):
+ x = self.attr(key, default)
+ try:
+ x = float(x)
+ except:
+ x = None
+ return x
+
+ #def doGrid(self, pre = ''):
+ # grid_major = self.attr_bool(pre + 'Grid', False) or self.attr_bool(pre + 'GridMajor', False)
+ # grid_minor = self.attr_bool(pre + 'GridMinor', False)
+ # if grid_major and grid_minor: return 'both'
+ # elif grid_major: return 'major'
+ # elif grid_minor: return 'minor'
+
+ def ratio_names(self, skipFirst = False):
+ offset = 1 if skipFirst else 0
+ return [ ('RatioPlot%s' % (str(i) if i else ''), i) for i in range(skipFirst, 9) ]
+
+ def legend_names(self, skipFirst = False):
+ offset = 1 if skipFirst else 0
+ return [ ('Legend%s' % (str(i) if i else ''), i) for i in range(skipFirst, 9) ]
+
+
+
+class InputData(Described):
+
+ def __init__(self, filename):
+ self.filename=filename
+ if not self.filename.endswith(".dat"):
+ self.filename += ".dat"
+ self.props = {}
+ self.histos = {}
+ self.ratios = {}
+ self.special = {}
+ self.functions = {}
+ # not sure what this is good for ... yet
+ self.histomangler = {}
+
+ self.normalised = False
+ self.props['is2dim'] = False
+
+ # analyse input dat file
+ f = open(self.filename)
+ for line in f:
+ m = pat_begin_block.match(line)
+ if m:
+ name, path = m.group(1,2)
+
+ if path is None and name != 'PLOT':
+ raise Exception('BEGIN sections need a path name.')
+
+ if name == 'PLOT':
+ self.read_input(f);
+ elif name == 'SPECIAL':
+ self.special[path] = Special(f)
+ elif name == 'HISTOGRAM' or name == 'HISTOGRAM2D':
+ self.histos[path] = Histogram(f, p=path)
+ self.props['is2dim'] = self.histos[path].is2dim
+ self.histos[path].zlog = self.attr_bool('LogZ')
+ if self.attr_bool('Is3D', 0):
+ self.histos[path].zlog = False
+ if not self.histos[path].getName() == '':
+ newname = self.histos[path].getName()
+ self.histos[newname] = copy.deepcopy(self.histos[path])
+ del self.histos[path]
+ elif name == 'HISTO1D':
+ self.histos[path] = Histo1D(f, p=path)
+ if not self.histos[path].getName() == '':
+ newname = self.histos[path].getName()
+ self.histos[newname] = copy.deepcopy(self.histos[path])
+ del self.histos[path]
+ elif name == 'HISTO2D':
+ self.histos[path] = Histo2D(f, p=path)
+ self.props['is2dim'] = True
+ self.histos[path].zlog = self.attr_bool('LogZ')
+ if self.attr_bool('Is3D', 0):
+ self.histos[path].zlog = False
+ if not self.histos[path].getName() == '':
+ newname = self.histos[path].getName()
+ self.histos[newname] = copy.deepcopy(self.histos[path])
+ del self.histos[path]
+ elif name == 'HISTOGRAMMANGLER':
+ self.histomangler[path] = PlotFunction(f)
+ elif name == 'COUNTER':
+ self.histos[path] = Counter(f, p=path)
+ elif name == 'VALUE':
+ self.histos[path] = Value(f, p=path)
+ elif name == 'FUNCTION':
+ self.functions[path] = Function(f)
+ f.close()
+
+ self.apply_config_files(opts.CONFIGFILES)
+
+ self.props.setdefault('PlotSizeX', 10.)
+ self.props.setdefault('PlotSizeY', 6.)
+ if self.props['is2dim']:
+ self.props['PlotSizeX'] -= 1.7
+ self.props['PlotSizeY'] = 10.
+ self.props['RatioPlot'] = '0'
+
+ if self.props.get('PlotSize', '') != '':
+ plotsizes = self.props['PlotSize'].split(',')
+ self.props['PlotSizeX'] = float(plotsizes[0])
+ self.props['PlotSizeY'] = float(plotsizes[1])
+ if len(plotsizes) == 3:
+ self.props['RatioPlotSizeY'] = float(plotsizes[2])
+ del self.props['PlotSize']
+
+ self.props['RatioPlotSizeY'] = 0. # default is no ratio
+ if self.attr('MainPlot') == '0':
+ ## has RatioPlot, but no MainPlot
+ self.props['PlotSizeY'] = 0. # size of MainPlot
+ self.props['RatioPlot'] = '1' #< don't allow both to be zero!
+ if self.attr_bool('RatioPlot'):
+ if self.has_attr('RatioPlotYSize') and self.attr('RatioPlotYSize') != '':
+ self.props['RatioPlotSizeY'] = self.attr_float('RatioPlotYSize')
+ else:
+ self.props['RatioPlotSizeY'] = 6. if self.attr_bool('MainPlot') else 3.
+ if self.props['is2dim']: self.props['RatioPlotSizeY'] *= 2.
+
+ for rname, _ in self.ratio_names(True):
+ if self.attr_bool(rname, False):
+ if self.props.get(rname+'YSize') != '':
+ self.props[rname+'SizeY'] = self.attr_float(rname+'YSize')
+ else:
+ self.props[rname+'SizeY'] = 3. if self.attr('MainPlot') == '0' else 6.
+ if self.props['is2dim']: self.props[rname+'SizeY'] *= 2.
+
+ ## Ensure numbers, not strings
+ self.props['PlotSizeX'] = float(self.props['PlotSizeX'])
+ self.props['PlotSizeY'] = float(self.props['PlotSizeY'])
+ self.props['RatioPlotSizeY'] = float(self.props['RatioPlotSizeY'])
+ # self.props['TopMargin'] = float(self.props['TopMargin'])
+ # self.props['BottomMargin'] = float(self.props['BottomMargin'])
+
+ self.props['LogX'] = self.attr_bool('LogX', 0)
+ self.props['LogY'] = self.attr_bool('LogY', 0)
+ self.props['LogZ'] = self.attr_bool('LogZ', 0)
+ for rname, _ in self.ratio_names(True):
+ self.props[rname+'LogY'] = self.attr_bool(rname+'LogY', 0)
+ self.props[rname+'LogZ'] = self.attr_bool(rname+'LogZ', 0)
+
+ if self.has_attr('Rebin'):
+ for key in self.histos:
+ self.histos[key].props['Rebin'] = self.props['Rebin']
+ if self.has_attr('ConnectBins'):
+ for key in self.histos:
+ self.histos[key].props['ConnectBins'] = self.props['ConnectBins']
+
+ self.histo_sorting('DrawOnly')
+ for curves, _ in self.ratio_names():
+ if self.has_attr(curves+'DrawOnly'):
+ self.histo_sorting(curves+'DrawOnly')
+ else:
+ self.props[curves+'DrawOnly'] = self.props['DrawOnly']
+
+ ## Inherit various values from histograms if not explicitly set
+ #for k in ['LogX', 'LogY', 'LogZ',
+ # 'XLabel', 'YLabel', 'ZLabel',
+ # 'XCustomMajorTicks', 'YCustomMajorTicks', 'ZCustomMajorTicks']:
+ # self.inherit_from_histos(k)
+
+
+
+ @property
+ def is2dim(self):
+ return self.attr_bool("is2dim", False)
+ @is2dim.setter
+ def is2dim(self, val):
+ self.set_attr("is2dim", val)
+
+
+ @property
+ def drawonly(self):
+ x = self.attr("DrawOnly")
+ if type(x) is str:
+ self.drawonly = x #< use setter to listify
+ return x if x else []
+ @drawonly.setter
+ def drawonly(self, val):
+ if type(val) is str:
+ val = val.strip().split()
+ self.set_attr("DrawOnly", val)
+
+
+ @property
+ def stacklist(self):
+ x = self.attr("Stack")
+ if type(x) is str:
+ self.stacklist = x #< use setter to listify
+ return x if x else []
+ @stacklist.setter
+ def stacklist(self, val):
+ if type(val) is str:
+ val = val.strip().split()
+ self.set_attr("Stack", val)
+
+
+ @property
+ def plotorder(self):
+ x = self.attr("PlotOrder")
+ if type(x) is str:
+ self.plotorder = x #< use setter to listify
+ return x if x else []
+ @plotorder.setter
+ def plotorder(self, val):
+ if type(val) is str:
+ val = val.strip().split()
+ self.set_attr("PlotOrder", val)
+
+
+ @property
+ def plotsizex(self):
+ return self.attr_float("PlotSizeX")
+ @plotsizex.setter
+ def plotsizex(self, val):
+ self.set_attr("PlotSizeX", val)
+
+ @property
+ def plotsizey(self):
+ return self.attr_float("PlotSizeY")
+ @plotsizey.setter
+ def plotsizey(self, val):
+ self.set_attr("PlotSizeY", val)
+
+ @property
+ def plotsize(self):
+ return [self.plotsizex, self.plotsizey]
+ @plotsize.setter
+ def plotsize(self, val):
+ if type(val) is str:
+ val = [float(x) for x in val.split(",")]
+ assert len(val) == 2
+ self.plotsizex = val[0]
+ self.plotsizey = val[1]
+
+ @property
+ def ratiosizey(self):
+ return self.attr_float("RatioPlotSizeY")
+ @ratiosizey.setter
+ def ratiosizey(self, val):
+ self.set_attr("RatioPlotSizeY", val)
+
+
+ @property
+ def scale(self):
+ return self.attr_float("Scale")
+ @scale.setter
+ def scale(self, val):
+ self.set_attr("Scale", val)
+
+
+ @property
+ def xmin(self):
+ return self.attr_float("XMin")
+ @xmin.setter
+ def xmin(self, val):
+ self.set_attr("XMin", val)
+
+ @property
+ def xmax(self):
+ return self.attr_float("XMax")
+ @xmax.setter
+ def xmax(self, val):
+ self.set_attr("XMax", val)
+
+ @property
+ def xrange(self):
+ return [self.xmin, self.xmax]
+ @xrange.setter
+ def xrange(self, val):
+ if type(val) is str:
+ val = [float(x) for x in val.split(",")]
+ assert len(val) == 2
+ self.xmin = val[0]
+ self.xmax = val[1]
+
+
+ @property
+ def ymin(self):
+ return self.attr_float("YMin")
+ @ymin.setter
+ def ymin(self, val):
+ self.set_attr("YMin", val)
+
+ @property
+ def ymax(self):
+ return self.attr_float("YMax")
+ @ymax.setter
+ def ymax(self, val):
+ self.set_attr("YMax", val)
+
+ @property
+ def yrange(self):
+ return [self.ymin, self.ymax]
+ @yrange.setter
+ def yrange(self, val):
+ if type(val) is str:
+ val = [float(y) for y in val.split(",")]
+ assert len(val) == 2
+ self.ymin = val[0]
+ self.ymax = val[1]
+
+
+ # TODO: add more rw properties for plotsize(x,y), ratiosize(y),
+ # show_mainplot, show_ratioplot, show_legend, log(x,y,z), rebin,
+ # drawonly, legendonly, plotorder, stack,
+ # label(x,y,z), majorticks(x,y,z), minorticks(x,y,z),
+ # min(x,y,z), max(x,y,z), range(x,y,z)
+
+ def getLegendPos(self, prefix = ''):
+ xpos = self.attr_float(prefix+'LegendXPos', 0.95 if self.getLegendAlign() == 'right' else 0.53)
+ ypos = self.attr_float(prefix+'LegendYPos', 0.93)
+ return (xpos, ypos)
+
+ def getLegendAlign(self, prefix = ''):
+ la = self.attr(prefix+'LegendAlign', 'left')
+ if la == 'l': return 'left'
+ elif la == 'c': return 'center'
+ elif la == 'r': return 'right'
+ else: return la
+
+ #def inherit_from_histos(self, k):
+ # """Note: this will inherit the key from a random histogram:
+ # only use if you're sure all histograms have this key!"""
+ # if k not in self.props:
+ # h = list(self.histos.values())[0]
+ # if k in h.props:
+ # self.props[k] = h.props[k]
+
+
+ def read_input(self, f):
+ for line in f:
+ if is_end_marker(line, 'PLOT'):
+ break
+ elif is_comment(line):
+ continue
+ m = pat_property.match(line)
+ if m:
+ prop, value = m.group(1,2)
+ if prop in self.props:
+ logging.debug("Overwriting property %s = %s -> %s" % (prop, self.props[prop], value))
+ ## Use strip here to deal with DOS newlines containing \r
+ self.props[prop.strip()] = value.strip()
+
+
+ def apply_config_files(self, conffiles):
+ """Use config file to overwrite cosmetic properties."""
+ if conffiles is not None:
+ for filename in conffiles:
+ cf = open(filename, 'r')
+ lines = cf.readlines()
+ for i in range(len(lines)):
+ ## First evaluate PLOT sections
+ m = pat_begin_block.match(lines[i])
+ if m and m.group(1) == 'PLOT' and re.match(m.group(2),self.filename):
+ while i<len(lines)-1:
+ i = i+1
+ if is_end_marker(lines[i], 'PLOT'):
+ break
+ elif is_comment(lines[i]):
+ continue
+ m = pat_property.match(lines[i])
+ if m:
+ prop, value = m.group(1,2)
+ if prop in self.props:
+ logging.debug("Overwriting from conffile property %s = %s -> %s" % (prop, self.props[prop], value))
+ ## Use strip here to deal with DOS newlines containing \r
+ self.props[prop.strip()] = value.strip()
+ elif is_comment(lines[i]):
+ continue
+ else:
+ ## Then evaluate path-based settings, e.g. for HISTOGRAMs
+ m = pat_path_property.match(lines[i])
+ if m:
+ regex, prop, value = m.group(1,2,3)
+ for obj_dict in [self.special, self.histos, self.functions]:
+ for path, obj in obj_dict.items():
+ if re.match(regex, path):
+ ## Use strip here to deal with DOS newlines containing \r
+ obj.props.update({prop.strip() : value.strip()})
+ cf.close()
+
+ def histo_sorting(self, curves):
+ """Determine in what order to draw curves."""
+ histoordermap = {}
+ histolist = self.histos.keys()
+ if self.has_attr(curves):
+ histolist = filter(self.histos.keys().count, self.attr(curves).strip().split())
+ for histo in histolist:
+ order = 0
+ if self.histos[histo].has_attr('PlotOrder'):
+ order = int(self.histos[histo].attr['PlotOrder'])
+ if not order in histoordermap:
+ histoordermap[order] = []
+ histoordermap[order].append(histo)
+ sortedhistolist = []
+ for i in sorted(histoordermap.keys()):
+ sortedhistolist.extend(histoordermap[i])
+ self.props[curves] = sortedhistolist
+
+
+class Plot(object):
+
+ def __init__(self): #, inputdata):
+ self.customCols = {}
+
+ def panel_header(self, **kwargs):
+ out = ''
+ out += ('\\begin{axis}[\n')
+ out += ('at={(0,%4.3fcm)},\n' % kwargs['PanelOffset'])
+ out += ('xmode=%s,\n' % kwargs['Xmode'])
+ out += ('ymode=%s,\n' % kwargs['Ymode'])
+ #if kwargs['Zmode']: out += ('zmode=log,\n')
+ out += ('scale only axis=true,\n')
+ out += ('scaled ticks=false,\n')
+ out += ('clip marker paths=true,\n')
+ out += ('axis on top,\n')
+ out += ('axis line style={line width=0.3pt},\n')
+ out += ('height=%scm,\n' % kwargs['PanelHeight'])
+ out += ('width=%scm,\n' % kwargs['PanelWidth'])
+ out += ('xmin=%s,\n' % kwargs['Xmin'])
+ out += ('xmax=%s,\n' % kwargs['Xmax'])
+ out += ('ymin=%s,\n' % kwargs['Ymin'])
+ out += ('ymax=%s,\n' % kwargs['Ymax'])
+ if kwargs['is2D']:
+ out += ('zmin=%s,\n' % kwargs['Zmin'])
+ out += ('zmax=%s,\n' % kwargs['Zmax'])
+ #out += ('legend style={\n')
+ #out += (' draw=none, fill=none, anchor = north west,\n')
+ #out += (' at={(%4.3f,%4.3f)},\n' % kwargs['LegendPos'])
+ #out += ('},\n')
+ #out += ('legend cell align=%s,\n' % kwargs['LegendAlign'])
+ #out += ('legend image post style={sharp plot, -},\n')
+ if kwargs['is2D']:
+ if kwargs['is3D']:
+ hrotate = 45 + kwargs['HRotate']
+ vrotate = 30 + kwargs['VRotate']
+ out += ('view={%i}{%s}, zticklabel pos=right,\n' % (hrotate, vrotate))
+ else:
+ out += ('view={0}{90}, colorbar,\n')
+ out += ('colormap/%s,\n' % kwargs['ColorMap'])
+ if not kwargs['is3D'] and kwargs['Zmode']:
+ out += ('colorbar style={yticklabel=$\\,10^{\\pgfmathprintnumber{\\tick}}$},\n')
+ #if kwargs['Grid']:
+ # out += ('grid=%s,\n' % kwargs['Grid'])
+ for axis, label in kwargs['Labels'].iteritems():
+ out += ('%s={%s},\n' % (axis.lower(), label))
+ if kwargs['XLabelSep'] != None:
+ if not kwargs['is3D']:
+ out += ('xlabel style={at={(1,0)},below left,yshift={-%4.3fcm}},\n' % kwargs['XLabelSep'])
+ out += ('xticklabel shift=%4.3fcm,\n' % kwargs['XTickShift'])
+ else:
+ out += ('xticklabels={,,},\n')
+ if kwargs['YLabelSep'] != None:
+ if not kwargs['is3D']:
+ out += ('ylabel style={at={(0,1)},left,yshift={%4.3fcm}},\n' % kwargs['YLabelSep'])
+ out += ('yticklabel shift=%4.3fcm,\n' % kwargs['YTickShift'])
+ out += ('major tick length={%4.3fcm},\n' % kwargs['MajorTickLength'])
+ out += ('minor tick length={%4.3fcm},\n' % kwargs['MinorTickLength'])
+ # check if 'number of minor tick divisions' is specified
+ for axis, nticks in kwargs['MinorTicks'].iteritems():
+ if nticks:
+ out += ('minor %s tick num=%i,\n' % (axis.lower(), nticks))
+ # check if actual major/minor tick divisions have been specified
+ out += ('max space between ticks=20,\n')
+ for axis, tickinfo in kwargs['CustomTicks'].iteritems():
+ majorlabels, majorticks, minorticks = tickinfo
+ if len(minorticks):
+ out += ('minor %stick={%s},\n' % (axis.lower(), ','.join(minorticks)))
+ if len(majorticks):
+ if float(majorticks[0]) > float(kwargs['%smin' % axis]):
+ majorticks = [ str(2 * float(majorticks[0]) - float(majorticks[1])) ] + majorticks
+ if len(majorlabels):
+ majorlabels = [ '.' ] + majorlabels # dummy label
+ if float(majorticks[-1]) < float(kwargs['%smax' % axis]):
+ majorticks.append(str(2 * float(majorticks[-1]) - float(majorticks[-2])))
+ if len(majorlabels):
+ majorlabels.append('.') # dummy label
+ out += ('%stick={%s},\n' % (axis.lower(), ','.join(majorticks)))
+ if kwargs['NeedsXLabels'] and len(majorlabels):
+ out += ('%sticklabels={{%s}},\n' % (axis.lower(), '},{'.join(majorlabels)))
+ out += ('every %s tick/.style={black},\n' % axis.lower())
+ out += (']\n')
+ return out
+
+ def panel_footer(self):
+ out = ''
+ out += ('\\end{axis}\n')
+ return out
+
+ def set_normalisation(self, inputdata):
+ if inputdata.normalised:
+ return
+ for method in ['NormalizeToIntegral', 'NormalizeToSum']:
+ if inputdata.has_attr(method):
+ for key in inputdata.props['DrawOnly']:
+ if not inputdata.histos[key].has_attr(method):
+ inputdata.histos[key].props[method] = inputdata.props[method]
+ if inputdata.has_attr('Scale'):
+ for key in inputdata.props['DrawOnly']:
+ inputdata.histos[key].props['Scale'] = inputdata.attr_float('Scale')
+ for key in inputdata.histos.keys():
+ inputdata.histos[key].mangle_input()
+ inputdata.normalised = True
+
+ def stack_histograms(self, inputdata):
+ if inputdata.has_attr('Stack'):
+ stackhists = [h for h in inputdata.attr('Stack').strip().split() if h in inputdata.histos]
+ previous = ''
+ for key in stackhists:
+ if previous != '':
+ inputdata.histos[key].add(inputdata.histos[previous])
+ previous = key
+
+ def set_histo_options(self, inputdata):
+ if inputdata.has_attr('ConnectGaps'):
+ for key in inputdata.histos.keys():
+ if not inputdata.histos[key].has_attr('ConnectGaps'):
+ inputdata.histos[i].props['ConnectGaps'] = inputdata.props['ConnectGaps']
+ # Counter and Value only have dummy x-axis, ticks wouldn't make sense here, so suppress them:
+ if 'Value object' in str(inputdata.histos) or 'Counter object' in str(inputdata.histos):
+ inputdata.props['XCustomMajorTicks'] = ''
+ inputdata.props['XCustomMinorTicks'] = ''
+
+ def set_borders(self, inputdata):
+ self.set_xmax(inputdata)
+ self.set_xmin(inputdata)
+ self.set_ymax(inputdata)
+ self.set_ymin(inputdata)
+ self.set_zmax(inputdata)
+ self.set_zmin(inputdata)
+ inputdata.props['Borders'] = (self.xmin, self.xmax, self.ymin, self.ymax, self.zmin, self.zmax)
+
+ def set_xmin(self, inputdata):
+ self.xmin = inputdata.xmin
+ if self.xmin is None:
+ xmins = [inputdata.histos[h].getXMin() for h in inputdata.props['DrawOnly']]
+ self.xmin = min(xmins) if xmins else 0.0
+
+
+ def set_xmax(self,inputdata):
+ self.xmax = inputdata.xmax
+ if self.xmax is None:
+ xmaxs = [inputdata.histos[h].getXMax() for h in inputdata.props['DrawOnly']]
+ self.xmax = min(xmaxs) if xmaxs else 1.0
+
+
+ def set_ymin(self,inputdata):
+ if inputdata.ymin is not None:
+ self.ymin = inputdata.ymin
+ else:
+ ymins = [inputdata.histos[i].getYMin(self.xmin, self.xmax, inputdata.props['LogY']) for i in inputdata.attr('DrawOnly')]
+ minymin = min(ymins) if ymins else 0.0
+ if inputdata.props['is2dim']:
+ self.ymin = minymin
+ else:
+ showzero = inputdata.attr_bool("ShowZero", True)
+ if showzero:
+ self.ymin = 0. if minymin > -1e-4 else 1.1*minymin
+ else:
+ self.ymin = 1.1*minymin if minymin < -1e-4 else 0 if minymin < 1e-4 else 0.9*minymin
+ if inputdata.props['LogY']:
+ ymins = [ymin for ymin in ymins if ymin > 0.0]
+ if not ymins:
+ if self.ymax == 0:
+ self.ymax = 1
+ ymins.append(2e-7*self.ymax)
+ minymin = min(ymins)
+ fullrange = opts.FULL_RANGE
+ if inputdata.has_attr('FullRange'):
+ fullrange = inputdata.attr_bool('FullRange')
+ self.ymin = minymin/1.7 if fullrange else max(minymin/1.7, 2e-7*self.ymax)
+
+ if self.ymin == self.ymax:
+ self.ymin -= 1
+ self.ymax += 1
+
+ def set_ymax(self,inputdata):
+ if inputdata.has_attr('YMax'):
+ self.ymax = inputdata.attr_float('YMax')
+ else:
+ ymaxs = [inputdata.histos[h].getYMax(self.xmin, self.xmax) for h in inputdata.attr('DrawOnly')]
+ self.ymax = max(ymaxs) if ymaxs else 1.0
+ if not inputdata.is2dim:
+ self.ymax *= (1.7 if inputdata.attr_bool('LogY') else 1.1)
+
+ def set_zmin(self,inputdata):
+ if inputdata.has_attr('ZMin'):
+ self.zmin = inputdata.attr_float('ZMin')
+ else:
+ zmins = [inputdata.histos[i].getZMin(self.xmin, self.xmax, self.ymin, self.ymax) for i in inputdata.attr('DrawOnly')]
+ minzmin = min(zmins) if zmins else 0.0
+ self.zmin = minzmin
+ if zmins:
+ showzero = inputdata.attr_bool('ShowZero', True)
+ if showzero:
+ self.zmin = 0 if minzmin > -1e-4 else 1.1*minzmin
+ else:
+ self.zmin = 1.1*minzmin if minzmin < -1e-4 else 0. if minzmin < 1e-4 else 0.9*minzmin
+ if inputdata.attr_bool('LogZ', False):
+ zmins = [zmin for zmin in zmins if zmin > 0]
+ if not zmins:
+ if self.zmax == 0:
+ self.zmax = 1
+ zmins.append(2e-7*self.zmax)
+ minzmin = min(zmins)
+ fullrange = inputdata.attr_bool("FullRange", opts.FULL_RANGE)
+ self.zmin = minzmin/1.7 if fullrange else max(minzmin/1.7, 2e-7*self.zmax)
+
+ if self.zmin == self.zmax:
+ self.zmin -= 1
+ self.zmax += 1
+
+ def set_zmax(self,inputdata):
+ self.zmax = inputdata.attr_float('ZMax')
+ if self.zmax is None:
+ zmaxs = [inputdata.histos[h].getZMax(self.xmin, self.xmax, self.ymin, self.ymax) for h in inputdata.attr('DrawOnly')]
+ self.zmax = max(zmaxs) if zmaxs else 1.0
+
+ def getTicks(self, inputdata, axis):
+ majorticks = []; majorlabels = []
+ ticktype = '%sCustomMajorTicks' % axis
+ if inputdata.attr(ticktype):
+ ticks = inputdata.attr(ticktype).strip().split()
+ if not len(ticks) % 2:
+ for i in range(0,len(ticks),2):
+ majorticks.append(ticks[i])
+ majorlabels.append(ticks[i+1])
+ minorticks = []
+ ticktype = '%sCustomMinorTicks' % axis
+ if inputdata.attr(ticktype):
+ ticks = inputdata.attr(ticktype).strip().split()
+ for val in ticks:
+ minorticks.append(val)
+ return (majorlabels, majorticks, minorticks)
+
+
+ def draw(self):
+ pass
+
+ def write_header(self,inputdata):
+ inputdata.props.setdefault('TopMargin', 0.8)
+ inputdata.props.setdefault('LeftMargin', 1.4)
+ inputdata.props.setdefault('BottomMargin', 0.75)
+ inputdata.props.setdefault('RightMargin', 0.35)
+ if inputdata.attr('is2dim'):
+ inputdata.props['RightMargin'] += 1.8
+ papersizex = inputdata.attr_float('PlotSizeX') + 0.1
+ papersizex += inputdata.attr_float('LeftMargin') + inputdata.attr_float('RightMargin')
+ papersizey = inputdata.attr_float('PlotSizeY') + 0.2
+ papersizey += inputdata.attr_float('TopMargin') + inputdata.attr_float('BottomMargin')
+ for rname, _ in inputdata.ratio_names():
+ if inputdata.has_attr(rname+'SizeY'):
+ papersizey += inputdata.attr_float(rname+'SizeY')
+ #
+ out = ""
+ out += '\\documentclass{article}\n'
+ if opts.OUTPUT_FONT == "MINION":
+ out += ('\\usepackage{minion}\n')
+ elif opts.OUTPUT_FONT == "PALATINO_OSF":
+ out += ('\\usepackage[osf,sc]{mathpazo}\n')
+ elif opts.OUTPUT_FONT == "PALATINO":
+ out += ('\\usepackage{mathpazo}\n')
+ elif opts.OUTPUT_FONT == "TIMES":
+ out += ('\\usepackage{mathptmx}\n')
+ elif opts.OUTPUT_FONT == "HELVETICA":
+ out += ('\\renewcommand{\\familydefault}{\\sfdefault}\n')
+ out += ('\\usepackage{sfmath}\n')
+ out += ('\\usepackage{helvet}\n')
+ out += ('\\usepackage[symbolgreek]{mathastext}\n')
+ for pkg in opts.LATEXPKGS:
+ out += ('\\usepackage{%s}\n' % pkg)
+ out += ('\\usepackage[dvipsnames]{xcolor}\n')
+ out += ('\\selectcolormodel{rgb}\n')
+ out += ('\\definecolor{red}{HTML}{EE3311}\n') # (Google uses 'DC3912')
+ out += ('\\definecolor{blue}{HTML}{3366FF}\n')
+ out += ('\\definecolor{green}{HTML}{109618}\n')
+ out += ('\\definecolor{orange}{HTML}{FF9900}\n')
+ out += ('\\definecolor{lilac}{HTML}{990099}\n')
+ out += ('\\usepackage{amsmath}\n')
+ out += ('\\usepackage{amssymb}\n')
+ out += ('\\usepackage{relsize}\n')
+ out += ('\\usepackage{graphicx}\n')
+ out += ('\\usepackage[dvips,\n')
+ out += (' left=%4.3fcm,\n' % (inputdata.attr_float('LeftMargin')-0.45))
+ out += (' right=0cm,\n')
+ out += (' top=%4.3fcm,\n' % (inputdata.attr_float('TopMargin')-0.70))
+ out += (' bottom=0cm,\n')
+ out += (' paperwidth=%scm,paperheight=%scm\n' % (papersizex, papersizey))
+ out += (']{geometry}\n')
+ if inputdata.has_attr('DefineColor'):
+ out += ('% user defined colours\n')
+ for color in inputdata.attr('DefineColor').split('\t'):
+ out += ('%s\n' % color)
+ col_count = 0
+ for obj in inputdata.histos:
+ for col in inputdata.histos[obj].customCols:
+ if col in self.customCols:
+ # already seen, look up name
+ inputdata.histos[obj].customCols[col] = self.customCols[col]
+ elif ']{' in col:
+ colname = 'MyColour%i' % col_count # assign custom name
+ inputdata.histos[obj].customCols[col] = colname
+ self.customCols[col] = colname
+ col_count += 1
+ # remove outer {...} if present
+ while col[0] == '{' and col[-1] == '}': col = col[1:-1]
+ model, specs = tuple(col[1:-1].split(']{'))
+ out += ('\\definecolor{%s}{%s}{%s}\n' % (colname, model, specs))
+ out += ('\\usepackage{pgfplots}\n')
+ out += ('\\usepgfplotslibrary{fillbetween}\n')
+ #out += ('\\usetikzlibrary{positioning,shapes.geometric,patterns}\n')
+ out += ('\\usetikzlibrary{patterns}\n')
+ out += ('\\pgfplotsset{ compat=1.16,\n')
+ out += (' title style={at={(0,1)},right,yshift={0.10cm}},\n')
+ out += ('}\n')
+ out += ('\\begin{document}\n')
+ out += ('\\pagestyle{empty}\n')
+ out += ('\\begin{tikzpicture}[\n')
+ out += (' inner sep=0,\n')
+ out += (' trim axis left = %4.3f,\n' % (inputdata.attr_float('LeftMargin') + 0.1))
+ out += (' trim axis right,\n')
+ out += (' baseline,')
+ out += (' hatch distance/.store in=\\hatchdistance,\n')
+ out += (' hatch distance=8pt,\n')
+ out += (' hatch thickness/.store in=\\hatchthickness,\n')
+ out += (' hatch thickness=1pt,\n')
+ out += (']\n')
+ out += ('\\makeatletter\n')
+ out += ('\\pgfdeclarepatternformonly[\hatchdistance,\hatchthickness]{diagonal hatch}\n')
+ out += ('{\\pgfqpoint{0pt}{0pt}}\n')
+ out += ('{\\pgfqpoint{\\hatchdistance}{\\hatchdistance}}\n')
+ out += ('{\\pgfpoint{\\hatchdistance-1pt}{\\hatchdistance-1pt}}%\n')
+ out += ('{\n')
+ out += (' \\pgfsetcolor{\\tikz@pattern@color}\n')
+ out += (' \\pgfsetlinewidth{\\hatchthickness}\n')
+ out += (' \\pgfpathmoveto{\\pgfqpoint{0pt}{0pt}}\n')
+ out += (' \\pgfpathlineto{\\pgfqpoint{\\hatchdistance}{\\hatchdistance}}\n')
+ out += (' \\pgfusepath{stroke}\n')
+ out += ('}\n')
+ out += ('\\pgfdeclarepatternformonly[\hatchdistance,\hatchthickness]{antidiagonal hatch}\n')
+ out += ('{\\pgfqpoint{0pt}{0pt}}\n')
+ out += ('{\\pgfqpoint{\\hatchdistance}{\\hatchdistance}}\n')
+ out += ('{\\pgfpoint{\\hatchdistance-1pt}{\\hatchdistance-1pt}}%\n')
+ out += ('{\n')
+ out += (' \\pgfsetcolor{\\tikz@pattern@color}\n')
+ out += (' \\pgfsetlinewidth{\\hatchthickness}\n')
+ out += (' \\pgfpathmoveto{\\pgfqpoint{0pt}{\\hatchdistance}}\n')
+ out += (' \\pgfpathlineto{\\pgfqpoint{\\hatchdistance}{0pt}}\n')
+ out += (' \\pgfusepath{stroke}\n')
+ out += ('}\n')
+ out += ('\\pgfdeclarepatternformonly[\hatchdistance,\hatchthickness]{cross hatch}\n')
+ out += ('{\\pgfqpoint{0pt}{0pt}}\n')
+ out += ('{\\pgfqpoint{\\hatchdistance}{\\hatchdistance}}\n')
+ out += ('{\\pgfpoint{\\hatchdistance-1pt}{\\hatchdistance-1pt}}%\n')
+ out += ('{\n')
+ out += (' \\pgfsetcolor{\\tikz@pattern@color}\n')
+ out += (' \\pgfsetlinewidth{\\hatchthickness}\n')
+ out += (' \\pgfpathmoveto{\\pgfqpoint{0pt}{0pt}}\n')
+ out += (' \\pgfpathlineto{\\pgfqpoint{\\hatchdistance}{\\hatchdistance}}\n')
+ out += (' \\pgfusepath{stroke}\n')
+ out += (' \\pgfsetcolor{\\tikz@pattern@color}\n')
+ out += (' \\pgfsetlinewidth{\\hatchthickness}\n')
+ out += (' \\pgfpathmoveto{\\pgfqpoint{0pt}{\\hatchdistance}}\n')
+ out += (' \\pgfpathlineto{\\pgfqpoint{\\hatchdistance}{0pt}}\n')
+ out += (' \\pgfusepath{stroke}\n')
+ out += ('}\n')
+ out += ('\makeatother\n')
+ if inputdata.attr_bool('is2dim'):
+ colorseries = '{hsb}{grad}[rgb]{0,0,1}{-.700,0,0}'
+ if inputdata.attr('ColorSeries', ''):
+ colorseries = inputdata.attr('ColorSeries')
+ out += ('\\definecolorseries{gradientcolors}%s\n' % colorseries)
+ out += ('\\resetcolorseries[130]{gradientcolors}\n')
+ return out
+
+ def write_footer(self):
+ out = ""
+ out += ('\\end{tikzpicture}\n')
+ out += ('\\end{document}\n')
+ return out
+
+
+
+class MainPlot(Plot):
+
+ def __init__(self, inputdata):
+ self.name = 'MainPlot'
+ inputdata.props['PlotStage'] = 'MainPlot'
+ self.set_normalisation(inputdata)
+ self.stack_histograms(inputdata)
+ do_gof = inputdata.props.get('GofLegend', '0') == '1' or inputdata.props.get('GofFrame', '') != ''
+ do_taylor = inputdata.props.get('TaylorPlot', '0') == '1'
+ if do_gof and not do_taylor:
+ self.calculate_gof(inputdata)
+ self.set_histo_options(inputdata)
+ self.set_borders(inputdata)
+ self.yoffset = inputdata.props['PlotSizeY']
+
+ def draw(self, inputdata):
+ out = ""
+ out += ('\n%\n% MainPlot\n%\n')
+ offset = 0.
+ for rname, i in inputdata.ratio_names():
+ if inputdata.has_attr(rname+'SizeY'):
+ offset += inputdata.attr_float(rname+'SizeY')
+ labels = self.getLabels(inputdata)
+ out += self.panel_header(
+ PanelOffset = offset,
+ Xmode = 'log' if inputdata.attr_bool('LogX') else 'normal',
+ Ymode = 'log' if inputdata.attr_bool('LogY') else 'normal',
+ Zmode = inputdata.attr_bool('LogZ'),
+ PanelHeight = inputdata.props['PlotSizeY'],
+ PanelWidth = inputdata.props['PlotSizeX'],
+ Xmin = self.xmin, Xmax = self.xmax,
+ Ymin = self.ymin, Ymax = self.ymax,
+ Zmin = self.zmin, Zmax = self.zmax,
+ Labels = { l : inputdata.attr(l) for l in labels if inputdata.has_attr(l) },
+ XLabelSep = inputdata.attr_float('XLabelSep', 0.7) if 'XLabel' in labels else None,
+ YLabelSep = inputdata.attr_float('YLabelSep', 1.2) if 'YLabel' in labels else None,
+ XTickShift = inputdata.attr_float('XTickShift', 0.1) if 'XLabel' in labels else None,
+ YTickShift = inputdata.attr_float('YTickShift', 0.1) if 'YLabel' in labels else None,
+ MajorTickLength = inputdata.attr_float('MajorTickLength', 0.30),
+ MinorTickLength = inputdata.attr_float('MinorTickLength', 0.15),
+ MinorTicks = { axis : inputdata.attr_int('%sMinorTickMarks' % axis, 4) for axis in ['X', 'Y', 'Z'] },
+ CustomTicks = { axis : self.getTicks(inputdata, axis) for axis in ['X', 'Y', 'Z'] },
+ NeedsXLabels = self.needsXLabel(inputdata),
+ #Grid = inputdata.doGrid(),
+ is2D = inputdata.is2dim,
+ is3D = inputdata.attr_bool('Is3D', 0),
+ HRotate = inputdata.attr_int('HRotate', 0),
+ VRotate = inputdata.attr_int('VRotate', 0),
+ ColorMap = inputdata.attr('ColorMap', 'jet'),
+ #LegendAlign = inputdata.getLegendAlign(),
+ #LegendPos = inputdata.getLegendPos(),
+ )
+ out += self.plot_object(inputdata)
+ out += self.panel_footer()
+ return out
+
+ def plot_object(self, inputdata):
+ out = ""
+
+ if inputdata.attr_bool('DrawSpecialFirst', False):
+ for s in inputdata.special.values():
+ out += s.draw(inputdata)
+ if inputdata.attr_bool('DrawFunctionFirst', False):
+ for f in inputdata.functions.values():
+ out += f.draw(inputdata, self.props['Borders'][0], self.props['Borders'][1])
+ for key in inputdata.props['DrawOnly']:
+ #add_legend = inputdata.attr_bool('Legend')
+ out += inputdata.histos[key].draw() #add_legend)
+ if not inputdata.attr_bool('DrawSpecialFirst', False):
+ for s in inputdata.special.values():
+ out += s.draw(inputdata)
+ if not inputdata.attr_bool('DrawFunctionFirst', False):
+ for f in inputdata.functions.values():
+ out += f.draw(inputdata, self.props['Borders'][0], self.props['Borders'][1])
+
+ for lname, i in inputdata.legend_names():
+ if inputdata.attr_bool(lname, False):
+ legend = Legend(inputdata.props,inputdata.histos,inputdata.functions, lname, i)
+ out += legend.draw()
+
+ return out
+
+ def needsXLabel(self, inputdata):
+ if inputdata.attr('PlotTickLabels') == '0':
+ return False
+ # only draw the x-axis label if there are no ratio panels
+ drawlabels = not any([ inputdata.attr_bool(rname) for rname, _ in inputdata.ratio_names() ])
+ return drawlabels
+
+ def getLabels(self, inputdata):
+ labels = ['Title', 'YLabel']
+ if self.needsXLabel(inputdata):
+ labels.append('XLabel')
+ if inputdata.props['is2dim']:
+ labels.append('ZLabel')
+ return labels
+
+ def calculate_gof(self, inputdata):
+ refdata = inputdata.props.get('GofReference')
+ if refdata is None:
+ refdata = inputdata.props.get('RatioPlotReference')
+
+ if refdata is None:
+ inputdata.props['GofLegend'] = '0'
+ inputdata.props['GofFrame'] = ''
+ return
+
+ def pickcolor(gof):
+ color = None
+ colordefs = {}
+ for i in inputdata.props.setdefault('GofFrameColor', '0:green 3:yellow 6:red!70').strip().split():
+ foo = i.split(':')
+ if len(foo) != 2:
+ continue
+ colordefs[float(foo[0])] = foo[1]
+ for col in sorted(colordefs.keys()):
+ if gof >= col:
+ color=colordefs[col]
+ return color
+
+ inputdata.props.setdefault('GofLegend', '0')
+ inputdata.props.setdefault('GofFrame', '')
+ inputdata.props.setdefault('FrameColor', None)
+
+ for key in inputdata.props['DrawOnly']:
+ if key == refdata:
+ continue
+ if inputdata.props['GofLegend'] != '1' and key != inputdata.props['GofFrame']:
+ continue
+ if inputdata.props.get('GofType', 'chi2') != 'chi2':
+ return
+ gof = inputdata.histos[key].getChi2(inputdata.histos[refdata])
+ if key == inputdata.props['GofFrame'] and inputdata.props['FrameColor'] is None:
+ inputdata.props['FrameColor'] = pickcolor(gof)
+ if inputdata.histos[key].props.setdefault('Title', '') != '':
+ inputdata.histos[key].props['Title'] += ', '
+ inputdata.histos[key].props['Title'] += '$\\chi^2/n={}$%1.2f' %gof
+
+
+
+class TaylorPlot(Plot):
+
+ def __init__(self, inputdata):
+ self.refdata = inputdata.props['TaylorPlotReference']
+ self.calculate_taylorcoordinates(inputdata)
+
+ def calculate_taylorcoordinates(self,inputdata):
+ foo = inputdata.props['DrawOnly'].pop(inputdata.props['DrawOnly'].index(self.refdata))
+ inputdata.props['DrawOnly'].append(foo)
+ for i in inputdata.props['DrawOnly']:
+ print(i)
+ print('meanbinval = ', inputdata.histos[i].getMeanBinValue())
+ print('sigmabinval = ', inputdata.histos[i].getSigmaBinValue())
+ print('chi2/nbins = ', inputdata.histos[i].getChi2(inputdata.histos[self.refdata]))
+ print('correlation = ', inputdata.histos[i].getCorrelation(inputdata.histos[self.refdata]))
+ print('distance = ', inputdata.histos[i].getRMSdistance(inputdata.histos[self.refdata]))
+
+
+
+class RatioPlot(Plot):
+
+ def __init__(self, inputdata, i):
+ self.number = i
+ self.name='RatioPlot%s' % (str(i) if i else '')
+ # initialise histograms even when no main plot
+ self.set_normalisation(inputdata)
+ self.refdata = inputdata.props[self.name+'Reference']
+ if not inputdata.histos.has_key(self.refdata):
+ print('ERROR: %sReference=%s not found in:' % (self.name,self.refdata))
+ for i in inputdata.histos.keys():
+ print(' ', i)
+ sys.exit(1)
+ if not inputdata.has_attr('RatioPlotYOffset'):
+ inputdata.props['RatioPlotYOffset'] = inputdata.props['PlotSizeY']
+ if not inputdata.has_attr(self.name + 'SameStyle'):
+ inputdata.props[self.name+'SameStyle'] = '1'
+ self.yoffset = inputdata.props['RatioPlotYOffset'] + inputdata.props[self.name+'SizeY']
+ inputdata.props['PlotStage'] = self.name
+ inputdata.props['RatioPlotYOffset'] = self.yoffset
+ inputdata.props['PlotSizeY'] = inputdata.props[self.name+'SizeY']
+ inputdata.props['LogY'] = inputdata.props.get(self.name+"LogY", False)
+
+ # TODO: It'd be nice it this wasn't so MC-specific
+ rpmode = inputdata.props.get(self.name+'Mode', "mcdata")
+ if rpmode=='deviation':
+ inputdata.props['YLabel']='$(\\text{MC}-\\text{data})$'
+ inputdata.props['YMin']=-2.99
+ inputdata.props['YMax']=2.99
+ elif rpmode=='delta':
+ inputdata.props['YLabel']='\\delta'
+ inputdata.props['YMin']=-0.5
+ inputdata.props['YMax']=0.5
+ elif rpmode=='deltapercent':
+ inputdata.props['YLabel']='\\delta\;[\%]'
+ inputdata.props['YMin']=-50.
+ inputdata.props['YMax']=50.
+ elif rpmode=='deltamc':
+ inputdata.props['YLabel']='Data/MC'
+ inputdata.props['YMin']=0.5
+ inputdata.props['YMax']=1.5
+ else:
+ inputdata.props['YLabel'] = 'MC/Data'
+ inputdata.props['YMin'] = 0.5
+ inputdata.props['YMax'] = 1.5
+
+ if inputdata.has_attr(self.name+'YLabel'):
+ inputdata.props['YLabel'] = inputdata.props[self.name+'YLabel']
+ if inputdata.has_attr(self.name+'YMin'):
+ inputdata.props['YMin'] = inputdata.props[self.name+'YMin']
+ if inputdata.has_attr(self.name+'YMax'):
+ inputdata.props['YMax'] = inputdata.props[self.name+'YMax']
+ if inputdata.has_attr(self.name+'YLabelSep'):
+ inputdata.props['YLabelSep'] = inputdata.props[self.name+'YLabelSep']
+ if not inputdata.has_attr(self.name+'ErrorBandColor'):
+ inputdata.props[self.name+'ErrorBandColor'] = 'yellow'
+ if inputdata.props[self.name+'SameStyle']=='0':
+ inputdata.histos[self.refdata].props['ErrorBandColor'] = inputdata.props[self.name+'ErrorBandColor']
+ inputdata.histos[self.refdata].props['ErrorBandOpacity'] = inputdata.props[self.name+'ErrorBandOpacity']
+ inputdata.histos[self.refdata].props['ErrorBands'] = '1'
+ inputdata.histos[self.refdata].props['ErrorBars'] = '0'
+ inputdata.histos[self.refdata].props['ErrorTubes'] = '0'
+ inputdata.histos[self.refdata].props['LineStyle'] = 'solid'
+ inputdata.histos[self.refdata].props['LineColor'] = 'black'
+ inputdata.histos[self.refdata].props['LineWidth'] = '0.3pt'
+ inputdata.histos[self.refdata].props['MarkerStyle'] = ''
+ inputdata.histos[self.refdata].props['ConnectGaps'] = '1'
+
+ self.calculate_ratios(inputdata)
+ self.set_borders(inputdata)
+
+
+ def draw(self, inputdata):
+ out = ''
+ out += ('\n%\n% RatioPlot\n%\n')
+ offset = 0.
+ for rname, i in inputdata.ratio_names():
+ if i > self.number and inputdata.has_attr(rname+'SizeY'):
+ offset += inputdata.attr_float(rname+'SizeY')
+ labels = self.getLabels(inputdata)
+ out += self.panel_header(
+ PanelOffset = offset,
+ Xmode = 'log' if inputdata.attr_bool('LogX') else 'normal',
+ Ymode = 'log' if inputdata.attr_bool('LogY') else 'normal',
+ Zmode = inputdata.attr_bool('LogZ'),
+ PanelHeight = inputdata.props['PlotSizeY'],
+ PanelWidth = inputdata.props['PlotSizeX'],
+ Xmin = self.xmin, Xmax = self.xmax,
+ Ymin = self.ymin, Ymax = self.ymax,
+ Zmin = self.zmin, Zmax = self.zmax,
+ Labels = { l : inputdata.attr(l) for l in labels if inputdata.has_attr(l) },
+ XLabelSep = inputdata.attr_float('XLabelSep', 0.7) if 'XLabel' in labels else None,
+ YLabelSep = inputdata.attr_float('YLabelSep', 1.2) if 'YLabel' in labels else None,
+ XTickShift = inputdata.attr_float('XTickShift', 0.1) if 'XLabel' in labels else None,
+ YTickShift = inputdata.attr_float('YTickShift', 0.1) if 'YLabel' in labels else None,
+ MajorTickLength = inputdata.attr_float('MajorTickLength', 0.30),
+ MinorTickLength = inputdata.attr_float('MinorTickLength', 0.15),
+ MinorTicks = { axis : self.getMinorTickMarks(inputdata, axis) for axis in ['X', 'Y', 'Z'] },
+ CustomTicks = { axis : self.getTicks(inputdata, axis) for axis in ['X', 'Y', 'Z'] },
+ NeedsXLabels = self.needsXLabel(inputdata),
+ #Grid = inputdata.doGrid(self.name),
+ is2D = inputdata.is2dim,
+ is3D = inputdata.attr_bool('Is3D', 0),
+ HRotate = inputdata.attr_int('HRotate', 0),
+ VRotate = inputdata.attr_int('VRotate', 0),
+ ColorMap = inputdata.attr('ColorMap', 'jet'),
+ #LegendAlign = inputdata.getLegendAlign(self.name),
+ #LegendPos = inputdata.getLegendPos(self.name),
+ )
+ out += self.add_object(inputdata)
+
+ for lname, i in inputdata.legend_names():
+ if inputdata.attr_bool(self.name + lname, False):
+ legend = Legend(inputdata.props,inputdata.histos,inputdata.functions, self.name + lname, i)
+ out += legend.draw()
+
+ out += self.panel_footer()
+ return out
+
+ def calculate_ratios(self, inputdata):
+ inputdata.ratios = {}
+ inputdata.ratios = copy.deepcopy(inputdata.histos)
+ name = inputdata.attr(self.name+'DrawOnly').pop(inputdata.attr(self.name+'DrawOnly').index(self.refdata))
+ reffirst = inputdata.attr(self.name+'DrawReferenceFirst') != '0'
+ if reffirst and inputdata.histos[self.refdata].attr_bool('ErrorBands'):
+ inputdata.props[self.name+'DrawOnly'].insert(0, name)
+ else:
+ inputdata.props[self.name+'DrawOnly'].append(name)
+ rpmode = inputdata.props.get(self.name+'Mode', 'mcdata')
+ for i in inputdata.props[self.name+'DrawOnly']: # + [ self.refdata ]:
+ if i != self.refdata:
+ if rpmode == 'deviation':
+ inputdata.ratios[i].deviation(inputdata.ratios[self.refdata])
+ elif rpmode == 'delta':
+ inputdata.ratios[i].delta(inputdata.ratios[self.refdata])
+ elif rpmode == 'deltapercent':
+ inputdata.ratios[i].deltapercent(inputdata.ratios[self.refdata])
+ elif rpmode == 'datamc':
+ inputdata.ratios[i].dividereverse(inputdata.ratios[self.refdata])
+ inputdata.ratios[i].props['ErrorBars'] = '1'
+ else:
+ inputdata.ratios[i].divide(inputdata.ratios[self.refdata])
+ if rpmode == 'deviation':
+ inputdata.ratios[self.refdata].deviation(inputdata.ratios[self.refdata])
+ elif rpmode == 'delta':
+ inputdata.ratios[self.refdata].delta(inputdata.ratios[self.refdata])
+ elif rpmode == 'deltapercent':
+ inputdata.ratios[self.refdata].deltapercent(inputdata.ratios[self.refdata])
+ elif rpmode == 'datamc':
+ inputdata.ratios[self.refdata].dividereverse(inputdata.ratios[self.refdata])
+ else:
+ inputdata.ratios[self.refdata].divide(inputdata.ratios[self.refdata])
+
+
+ def add_object(self, inputdata):
+ out = ""
+
+ if inputdata.attr_bool('DrawSpecialFirst', False):
+ for s in inputdata.special.values():
+ out += s.draw(inputdata)
+ if inputdata.attr_bool('DrawFunctionFirst'):
+ for i in inputdata.functions.keys():
+ out += inputdata.functions[i].draw(inputdata, self.props['Borders'][0], self.props['Borders'][1])
+
+ for key in inputdata.props[self.name+'DrawOnly']:
+ if inputdata.has_attr(self.name+'Mode') and inputdata.attr(self.name+'Mode') == 'datamc':
+ if key == self.refdata: continue
+ #add_legend = inputdata.attr_bool(self.name+'Legend')
+ out += inputdata.ratios[key].draw() #add_legend)
+ if not inputdata.attr_bool('DrawFunctionFirst'):
+ for i in inputdata.functions.keys():
+ out += inputdata.functions[i].draw(inputdata, self.props['Borders'][0], self.props['Borders'][1])
+ if not inputdata.attr_bool('DrawSpecialFirst', False):
+ for s in inputdata.special.values():
+ out += s.draw(inputdata)
+
+ return out
+
+ def getMinorTickMarks(self, inputdata, axis):
+ tag = '%sMinorTickMarks' % axis
+ if inputdata.has_attr(self.name + tag):
+ return inputdata.attr_int(self.name + tag)
+ return inputdata.attr_int(tag, 4)
+
+ def needsXLabel(self, inputdata):
+ # only plot x label if it's the last ratio panel
+ ratios = [ i for rname, i in inputdata.ratio_names() if inputdata.attr_bool(rname, True) and inputdata.attr(rname + 'Reference', False) ]
+ return ratios[-1] == self.number
+
+ def getLabels(self, inputdata):
+ labels = ['YLabel']
+ drawtitle = inputdata.has_attr('MainPlot') and not inputdata.attr_bool('MainPlot')
+ if drawtitle and not any([inputdata.attr_bool(rname) for rname, i in inputdata.ratio_names() if i < self.number]):
+ labels.append('Title')
+
+ if self.needsXLabel(inputdata):
+ labels.append('XLabel')
+ return labels
+
+
+class Legend(Described):
+
+ def __init__(self, props, histos, functions, name, number):
+ self.name = name
+ self.number = number
+ self.histos = histos
+ self.functions = functions
+ self.props = props
+
+ def draw(self):
+ legendordermap = {}
+ legendlist = self.props['DrawOnly'] + list(self.functions.keys())
+ if self.name + 'Only' in self.props:
+ legendlist = []
+ for legend in self.props[self.name+'Only'].strip().split():
+ if legend in self.histos or legend in self.functions:
+ legendlist.append(legend)
+ for legend in legendlist:
+ order = 0
+ if legend in self.histos and 'LegendOrder' in self.histos[legend].props:
+ order = int(self.histos[legend].props['LegendOrder'])
+ if legend in self.functions and 'LegendOrder' in self.functions[legend].props:
+ order = int(self.functions[legend].props['LegendOrder'])
+ if not order in legendordermap:
+ legendordermap[order] = []
+ legendordermap[order].append(legend)
+
+ orderedlegendlist=[]
+ for i in sorted(legendordermap.keys()):
+ orderedlegendlist.extend(legendordermap[i])
+
+ if self.props['is2dim']:
+ return self.draw_2dlegend(orderedlegendlist)
+
+ out = ""
+ out += '\n%\n% Legend\n%\n'
+ talign = 'right' if self.getLegendAlign() == 'left' else 'left'
+ posalign = 'left' if talign == 'right' else 'right'
+ legx = float(self.getLegendXPos()); legy = float(self.getLegendYPos())
+ ypos = legy -0.05*6/self.props['PlotSizeY']
+ if self.props.has_key(self.name+'Title'):
+ for i in self.props[self.name+'Title'].strip().split('\\\\'):
+ out += ('\\node[black, inner sep=0, align=%s, %s,\n' % (posalign, talign))
+ out += ('] at (rel axis cs: %4.3f,%4.3f) {%s};\n' % (legx, ypos, i))
+ ypos -= 0.075*6/self.props['PlotSizeY']
+ offset = self.attr_float(self.name+'EntryOffset', 0.)
+ separation = self.attr_float(self.name+'EntrySeparation', 0.)
+ hline = True; vline = True
+ if self.props.has_key(self.name+'HorizontalLine'):
+ hline = self.props[self.name+'HorizontalLine'] != '0'
+ if self.props.has_key(self.name+'VerticalLine'):
+ vline = self.props[self.name+'VerticalLine'] != '0'
+
+ rel_xpos_sign = 1.0
+ if self.getLegendAlign() == 'right':
+ rel_xpos_sign = -1.0
+ xwidth = self.getLegendIconWidth()
+ xpos1 = legx -0.02*rel_xpos_sign-0.08*xwidth*rel_xpos_sign
+ xpos2 = legx -0.02*rel_xpos_sign
+ xposc = legx -0.02*rel_xpos_sign-0.04*xwidth*rel_xpos_sign
+ xpostext = 0.1*rel_xpos_sign
+
+ for i in orderedlegendlist:
+ if self.histos.has_key(i):
+ drawobject=self.histos[i]
+ elif self.functions.has_key(i):
+ drawobject=self.functions[i]
+ else:
+ continue
+ title = drawobject.getTitle()
+ if title == '':
+ continue
+ else:
+ titlelines=[]
+ for i in title.strip().split('\\\\'):
+ titlelines.append(i)
+ ypos -= 0.075*6/self.props['PlotSizeY']*separation
+ boxtop = 0.045*(6./self.props['PlotSizeY'])
+ boxbottom = 0.
+ lineheight = 0.5*(boxtop-boxbottom)
+ xico = xpostext + xposc
+ xhi = xpostext + xpos2
+ xlo = xpostext + xpos1
+ yhi = ypos + lineheight
+ ylo = ypos - lineheight
+ xleg = legx + xpostext;
+ # options set -> lineopts
+ setup = ('%s,\n' % drawobject.getLineColor())
+ linewidth = drawobject.getLineWidth()
+ try:
+ float(linewidth)
+ linewidth += 'cm'
+ except ValueError:
+ pass
+ setup += ('draw opacity=%s,\n' % drawobject.getLineOpacity())
+
+ if drawobject.getErrorBands():
+ out += ('\\fill[\n')
+ out += (' fill=none, fill opacity=%s,\n' % drawobject.getErrorBandOpacity())
+ if drawobject.getPatternFill():
+ out += ('fill=%s,\n' % drawobject.getErrorBandFillColor())
+ out += ('] (rel axis cs: %4.3f, %4.3f) rectangle (rel axis cs: %4.3f, %4.3f);\n' % (xlo,ylo,xhi,yhi))
+ if drawobject.getPattern() != '':
+ out += ('\\fill[\n')
+ out += ('pattern = %s,\n' % drawobject.getPattern())
+ if drawobject.getErroBandHatchDistance() != "":
+ out += ('hatch distance = %s,\n' % drawobject.getErroBandHatchDistance())
+ if drawobject.getPatternColor() != '':
+ out += ('pattern color = %s,\n' % drawobject.getPatternColor())
+ out += ('] (rel axis cs: %4.3f, %4.3f) rectangle (rel axis cs: %4.3f, %4.3f);\n' % (xlo,ylo,xhi,yhi))
+ if drawobject.getFillBorder():
+ out += ('\\draw[line style=solid, thin, %s] (rel axis cs: %4.3f,%4.3f)' % (setup, xlo, yhi))
+ out += ('-- (rel axis cs: %4.3f, %4.3f);\n' % (xhi, yhi))
+ out += ('\\draw[line style=solid, thin, %s] (rel axis cs: %4.3f,%4.3f)' % (setup, xlo, ylo))
+ out += ('-- (rel axis cs: %4.3f, %4.3f);\n' % (xhi, ylo))
+
+ setup += ('line width={%s},\n' % linewidth)
+ setup += ('style={%s},\n' % drawobject.getLineStyle())
+ if drawobject.getLineDash():
+ setup += ('dash pattern=%s,\n' % drawobject.getLineDash())
+ if drawobject.getErrorBars() and vline:
+ out += ('\\draw[%s] (rel axis cs: %4.3f,%4.3f)' % (setup, xico, ylo))
+ out += (' -- (rel axis cs: %4.3f, %4.3f);\n' % (xico, yhi))
+ if hline:
+ out += ('\\draw[%s] (rel axis cs: %4.3f,%4.3f)' % (setup, xlo, ypos))
+ out += ('-- (rel axis cs: %4.3f, %4.3f);\n' % (xhi, ypos))
+
+ if drawobject.getMarkerStyle() != 'none':
+ setup += ('mark options={\n')
+ setup += (' %s, fill color=%s,\n' % (drawobject.getMarkerColor(), drawobject.getMarkerColor()))
+ setup += (' mark size={%s}, scale=%s,\n' % (drawobject.getMarkerSize(), drawobject.getMarkerScale()))
+ setup += ('},\n')
+
+ out += ('\\draw[mark=*, %s] plot coordinates {\n' % setup)
+ out += ('(rel axis cs: %4.3f,%4.3f)};\n' % (xico, ypos))
+ ypos -= 0.075*6/self.props['PlotSizeY']*offset
+ for i in titlelines:
+ out += ('\\node[black, inner sep=0, align=%s, %s,\n' % (posalign, talign))
+ out += ('] at (rel axis cs: %4.3f,%4.3f) {%s};\n' % (xleg, ypos, i))
+ ypos -= 0.075*6/self.props['PlotSizeY']
+ if 'CustomLegend' in self.props:
+ for i in self.props['CustomLegend'].strip().split('\\\\'):
+ out += ('\\node[black, inner sep=0, align=%s, %s,\n' % (posalign, talign))
+ out += ('] at (rel axis cs: %4.3f, %4.3f) {%s};\n' % (xleg, ypos, i))
+ ypos -= 0.075*6/self.props['PlotSizeY']
+ return out
+
+ def draw_2dlegend(self,orderedlegendlist):
+ histos = ""
+ for i in range(0,len(orderedlegendlist)):
+ if self.histos.has_key(orderedlegendlist[i]):
+ drawobject=self.histos[orderedlegendlist[i]]
+ elif self.functions.has_key(orderedlegendlist[i]):
+ drawobject=self.functions[orderedlegendlist[i]]
+ else:
+ continue
+ title = drawobject.getTitle()
+ if title == '':
+ continue
+ else:
+ histos += title.strip().split('\\\\')[0]
+ if not i==len(orderedlegendlist)-1:
+ histos += ', '
+ #out = '\\rput(1,1){\\rput[rB](0, 1.7\\labelsep){\\normalsize '+histos+'}}\n'
+ out += ('\\node[black, inner sep=0, align=left]\n')
+ out += ('at (rel axis cs: 1,1) {\\normalsize{%s}};\n' % histos)
+ return out
+
+
+ def getLegendXPos(self):
+ return self.props.get(self.name+'XPos', '0.95' if self.getLegendAlign() == 'right' else '0.53')
+
+ def getLegendYPos(self):
+ return self.props.get(self.name+'YPos', '0.93')
+
+ def getLegendAlign(self):
+ la = self.props.get(self.name+'Align', 'left')
+ if la == 'l': return 'left'
+ elif la == 'c': return 'center'
+ elif la == 'r': return 'right'
+ else: return la
+
+ def getLegendIconWidth(self):
+ return float(self.props.get(self.name+'IconWidth', '1.0'))
+
+
+class PlotFunction(object):
+ def __init__(self, f):
+ self.props = {}
+ self.read_input(f)
+
+ def read_input(self, f):
+ self.code='def histomangler(x):\n'
+ iscode=False
+ for line in f:
+ if is_end_marker(line, 'HISTOGRAMMANGLER'):
+ break
+ elif is_comment(line):
+ continue
+ else:
+ m = pat_property.match(line)
+ if iscode:
+ self.code+=' '+line
+ elif m:
+ prop, value = m.group(1,2)
+ if prop=='Code':
+ iscode=True
+ else:
+ self.props[prop] = value
+ if not iscode:
+ print('++++++++++ ERROR: No code in function')
+ else:
+ foo = compile(self.code, '<string>', 'exec')
+ exec(foo)
+ self.histomangler = histomangler
+
+ def transform(self, x):
+ return self.histomangler(x)
+
+
+
+class Special(Described):
+
+ def __init__(self, f):
+ self.props = {}
+ self.data = []
+ self.read_input(f)
+ if not self.props.has_key('Location'):
+ self.props['Location']='MainPlot'
+ self.props['Location']=self.props['Location'].split('\t')
+ if not self.props.has_key('Coordinates'):
+ self.props['Coordinates'] = 'Relative'
+
+ def read_input(self, f):
+ for line in f:
+ if is_end_marker(line, 'SPECIAL'):
+ break
+ elif is_comment(line):
+ continue
+ else:
+ line = line.rstrip()
+ m = pat_property.match(line)
+ if m:
+ prop, value = m.group(1,2)
+ self.props[prop] = value
+ else:
+ self.data.append(line)
+
+ def draw(self, inputdata):
+ drawme = False
+ for i in self.props['Location']:
+ if i in inputdata.props['PlotStage']:
+ drawme = True
+ break
+ if not drawme:
+ return ""
+ out = ""
+ out += ('\n%\n% Special\n%\n')
+ out += ('\\pgfplotsset{\n')
+ out += (' after end axis/.append code={\n')
+ for l in self.data:
+ cs = 'axis cs:'
+ if self.props['Coordinates'].lower() == 'relative':
+ cs = 'rel ' + cs
+ atpos = l.index('at')
+ cspos = l[atpos:].index('(') + 1
+ l = l[:atpos+cspos] + cs + l[atpos+cspos:]
+ out += ' %s%s\n' % (l, ';' if l[-1:] != ';' else '')
+ out += (' }\n}\n')
+ return out
+
+
+
+class DrawableObject(Described):
+
+ def __init__(self, f):
+ pass
+
+ def getName(self):
+ return self.props.get('Name', '')
+
+ def getTitle(self):
+ return self.props.get('Title', '')
+
+ def getLineStyle(self):
+ if 'LineStyle' in self.props:
+ ## I normally like there to be "only one way to do it", but providing
+ ## this dashdotted/dotdashed synonym just seems humane ;-)
+ if self.props['LineStyle'] in ('dashdotted', 'dotdashed'):
+ self.props['LineStyle']='dashed'
+ self.props['LineDash']='3pt 3pt .8pt 3pt'
+ return self.props['LineStyle']
+ else:
+ return 'solid'
+
+ def getLineDash(self):
+ pattern = self.props.get('LineDash', '')
+ if pattern:
+ # converting this into pgfplots syntax
+ # "3pt 3pt .8pt 3pt" becomes
+ # "on 3pt off 3pt on .8pt off 3pt"
+ for i, val in enumerate(pattern.split(' ')):
+ if i == 0:
+ pattern = 'on %s' % val
+ else:
+ pattern += ' %s %s' % ('on' if i % 2 == 0 else 'off', val)
+ return pattern
+
+ def getLineWidth(self):
+ return self.props.get("LineWidth", "0.8pt")
+
+ def getColor(self, col):
+ if col in self.customCols:
+ return self.customCols[col]
+ return col
+
+ def getLineColor(self):
+ return self.getColor(self.props.get("LineColor", "black"))
+
+ def getLineOpacity(self):
+ return self.props.get("LineOpacity", "1.0")
+
+ def getFillOpacity(self):
+ return self.props.get("FillOpacity", "1.0")
+
+ def getFillBorder(self):
+ return self.attr_bool("FillBorder", "1")
+
+ def getHatchColor(self):
+ return self.getColor(self.props.get("HatchColor", self.getErrorBandColor()))
+
+ def getMarkerStyle(self):
+ return self.props.get("MarkerStyle", "*" if self.getErrorBars() else "none")
+
+ def getMarkerSize(self):
+ return self.props.get("MarkerSize", "1.5pt")
+
+ def getMarkerScale(self):
+ return self.props.get("MarkerScale", "1")
+
+ def getMarkerColor(self):
+ return self.getColor(self.props.get("MarkerColor", "black"))
+
+ def getErrorMarkStyle(self):
+ return self.props.get("ErrorMarkStyle", "none")
+
+ def getErrorBars(self):
+ return bool(int(self.props.get("ErrorBars", "0")))
+
+ def getErrorBands(self):
+ return bool(int(self.props.get("ErrorBands", "0")))
+
+ def getErrorBandColor(self):
+ return self.getColor(self.props.get("ErrorBandColor", "yellow"))
+
+ def getErrorBandStyle(self):
+ return self.props.get("ErrorBandStyle", "solid")
+
+ def getPattern(self):
+ return self.props.get("ErrorBandPattern", "")
+
+ def getPatternColor(self):
+ return self.getColor(self.props.get("ErrorBandPatternColor", ""))
+
+ def getPatternFill(self):
+ return bool(int(self.props.get("ErrorBandFill", self.getPattern() == "")))
+
+ def getErrorBandFillColor(self):
+ return self.getColor(self.props.get("ErrorBandFillColor", self.getErrorBandColor()))
+
+ def getErroBandHatchDistance(self):
+ return self.props.get("ErrorBandHatchDistance", "")
+
+ def getErrorBandOpacity(self):
+ return self.props.get("ErrorBandOpacity", "1.0")
+
+ def removeXerrors(self):
+ return bool(int(self.props.get("RemoveXerrors", "0")))
+
+ def getSmoothLine(self):
+ return bool(int(self.props.get("SmoothLine", "0")))
+
+ def getShader(self):
+ return self.props.get('Shader', 'flat')
+
+ def makecurve(self, setup, metadata, data = None): #, legendName = None):
+ out = ''
+ out += ('\\addplot%s+[\n' % ('3' if self.is2dim else ''))
+ out += setup
+ out += (']\n')
+ out += metadata
+ out += ('{\n')
+ if data:
+ out += data
+ out += ('};\n')
+ #if legendName:
+ # out += ('\\addlegendentry[\n')
+ # out += (' image style={yellow, mark=*},\n')
+ # out += (']{%s};\n' % legendName)
+ return out
+
+ def addcurve(self, points): #, legendName):
+ setup = '';
+ #setup += ('color=%s,\n' % self.getLineColor())
+ setup += ('%s,\n' % self.getLineColor())
+ linewidth = self.getLineWidth()
+ try:
+ float(linewidth)
+ linewidth += 'cm'
+ except ValueError:
+ pass
+ setup += ('line width={%s},\n' % linewidth)
+ setup += ('style={%s},\n' % self.getLineStyle())
+ setup += ('mark=%s,\n' % self.getMarkerStyle())
+ if self.getLineDash():
+ setup += ('dash pattern=%s,\n' % self.getLineDash())
+ if self.getSmoothLine():
+ setup += ('smooth,\n')
+ #if not legendName:
+ # setup += ('forget plot,\n')
+ if self.getMarkerStyle() != 'none':
+ setup += ('mark options={\n')
+ setup += (' %s, fill color=%s,\n' % (self.getMarkerColor(), self.getMarkerColor()))
+ setup += (' mark size={%s}, scale=%s,\n' % (self.getMarkerSize(), self.getMarkerScale()))
+ setup += ('},\n')
+ if self.getErrorBars():
+ setup += ('only marks,\n')
+ setup += ('error bars/.cd,\n')
+ setup += ('x dir=both,x explicit,\n')
+ setup += ('y dir=both,y explicit,\n')
+ setup += ('error bar style={%s, line width={%s}},\n' % (self.getLineColor(), linewidth))
+ setup += ('error mark=%s,\n' % self.getErrorMarkStyle())
+ if self.getErrorMarkStyle() != 'none':
+ setup += ('error mark options={line width=%s},\n' % linewidth)
+
+ metadata = 'coordinates\n'
+ if self.getErrorBars():
+ metadata = 'table [x error plus=ex+, x error minus=ex-, y error plus=ey+, y error minus=ey-]\n'
+
+ return self.makecurve(setup, metadata, points) #, legendName)
+
+ def makeband(self, points):
+ setup = ''
+ setup += ('%s,\n' % self.getErrorBandColor())
+ setup += ('fill opacity=%s,\n' % self.getErrorBandOpacity())
+ setup += ('forget plot,\n')
+ setup += ('solid,\n')
+ setup += ('draw = %s,\n' % self.getErrorBandColor())
+ if self.getPatternFill():
+ setup += ('fill=%s,\n' % self.getErrorBandFillColor())
+ if self.getPattern() != '':
+ if self.getPatternFill():
+ setup += ('postaction={\n')
+ setup += ('pattern = %s,\n' % self.getPattern())
+ if self.getErroBandHatchDistance() != "":
+ setup += ('hatch distance = %s,\n' % self.getErroBandHatchDistance())
+ if self.getPatternColor() != '':
+ setup += ('pattern color = %s,\n' % self.getPatternColor())
+ if self.getPatternFill():
+ setup += ('fill opacity=1,\n')
+ setup += ('},\n')
+ aux = 'draw=none, no markers, forget plot, name path=%s\n'
+ env = 'table [x=x, y=%s]\n'
+ out = ''
+ out += self.makecurve(aux % 'pluserr', env % 'y+', points)
+ out += self.makecurve(aux % 'minuserr', env % 'y-', points)
+ out += self.makecurve(setup, 'fill between [of=pluserr and minuserr]\n')
+ return out
+
+ def make2dee(self, points, zlog, zmin, zmax):
+ setup = 'mark=none, surf, shader=%s,\n' % self.getShader()
+ metadata = 'table [x index=0, y index=1, z index=2]\n'
+ setup += 'restrict z to domain=%s:%s,\n' % (log10(zmin) if zlog else zmin, log10(zmax) if zlog else zmax)
+ if zlog:
+ metadata = 'table [x index=0, y index=1, z expr=log10(\\thisrowno{2})]\n'
+ return self.makecurve(setup, metadata, points)
+
+
+
+class Function(DrawableObject):
+
+ def __init__(self, f):
+ self.props = {}
+ self.read_input(f)
+ if not self.props.has_key('Location'):
+ self.props['Location']='MainPlot'
+ self.props['Location']=self.props['Location'].split('\t')
+
+ def read_input(self, f):
+ self.code='def plotfunction(x):\n'
+ iscode=False
+ for line in f:
+ if is_end_marker(line, 'FUNCTION'):
+ break
+ elif is_comment(line):
+ continue
+ else:
+ m = pat_property.match(line)
+ if iscode:
+ self.code+=' '+line
+ elif m:
+ prop, value = m.group(1,2)
+ if prop=='Code':
+ iscode=True
+ else:
+ self.props[prop] = value
+ if not iscode:
+ print('++++++++++ ERROR: No code in function')
+ else:
+ foo = compile(self.code, '<string>', 'exec')
+ exec(foo)
+ self.plotfunction = plotfunction
+
+
+ def draw(self, inputdata, xmin, xmax):
+ drawme = False
+ for key in self.attr('Location'):
+ if key in inputdata.attr('PlotStage'):
+ drawme = True
+ break
+ if not drawme:
+ return ''
+ if self.has_attr('XMin') and self.attr('XMin'):
+ xmin = self.attr_float('XMin')
+ if self.props.has_attr('FunctionXMin') and self.attr('FunctionXMin'):
+ xmin = max(xmin, self.attr_float('FunctionXMin'))
+ if self.has_attr('XMax') and self.attr('XMax'):
+ xmax = self.attr_float('XMax')
+ if self.has_attr('FunctionXMax') and self.attr('FunctionXMax'):
+ xmax = min(xmax, self.attr_float('FunctionXMax'))
+ xmin = min(xmin, xmax)
+ xmax = max(xmin, xmax)
+ # TODO: Space sample points logarithmically if LogX=1
+ points = ''
+ xsteps = 500.
+ if self.has_attr('XSteps') and self.attr('XSteps'):
+ xsteps = self.attr_float('XSteps')
+ dx = (xmax - xmin) / xsteps
+ x = xmin - dx
+ while x < (xmax+2*dx):
+ y = self.plotfunction(x)
+ points += ('(%s,%s)\n' % (x, y))
+ x += dx
+ setup = '';
+ setup += ('%s,\n' % self.getLineColor())
+ linewidth = self.getLineWidth()
+ try:
+ float(linewidth)
+ linewidth += 'cm'
+ except ValueError:
+ pass
+ setup += ('line width={%s},\n' % linewidth)
+ setup += ('style={%s},\n' % self.getLineStyle())
+ setup += ('smooth, mark=none,\n')
+ if self.getLineDash():
+ setup += ('dash pattern=%s,\n' % self.getLineDash())
+ metadata = 'coordinates\n'
+ return self.makecurve(setup, metadata, points)
+
+
+class BinData(object):
+ """\
+ Store bin edge and value+error(s) data for a 1D or 2D bin.
+
+ TODO: generalise/alias the attr names to avoid mention of x and y
+ """
+
+ def __init__(self, low, high, val, err):
+ #print("@", low, high, val, err)
+ self.low = floatify(low)
+ self.high = floatify(high)
+ self.val = float(val)
+ self.err = floatpair(err)
+
+ @property
+ def is2D(self):
+ return hasattr(self.low, "__len__") and hasattr(self.high, "__len__")
+
+ @property
+ def isValid(self):
+ invalid_val = (isnan(self.val) or isnan(self.err[0]) or isnan(self.err[1]))
+ if invalid_val:
+ return False
+ if self.is2D:
+ invalid_low = any(isnan(x) for x in self.low)
+ invalid_high = any(isnan(x) for x in self.high)
+ else:
+ invalid_low, invalid_high = isnan(self.low), isnan(self.high)
+ return not (invalid_low or invalid_high)
+
+ @property
+ def xmin(self):
+ return self.low
+ @xmin.setter
+ def xmin(self,x):
+ self.low = x
+
+ @property
+ def xmax(self):
+ return self.high
+ @xmax.setter
+ def xmax(self,x):
+ self.high = x
+
+ @property
+ def xmid(self):
+ # TODO: Generalise to 2D
+ return 0.5 * (self.xmin + self.xmax)
+
+ @property
+ def xwidth(self):
+ # TODO: Generalise to 2D
+ assert self.xmin <= self.xmax
+ return self.xmax - self.xmin
+
+ @property
+ def y(self):
+ return self.val
+ @y.setter
+ def y(self, x):
+ self.val = x
+
+ @property
+ def ey(self):
+ return self.err
+ @ey.setter
+ def ey(self, x):
+ self.err = x
+
+ @property
+ def ymin(self):
+ return self.y - self.ey[0]
+
+ @property
+ def ymax(self):
+ return self.y + self.ey[1]
+
+ def __getitem__(self, key):
+ "dict-like access for backward compatibility"
+ if key in ("LowEdge"):
+ return self.xmin
+ elif key == ("UpEdge", "HighEdge"):
+ return self.xmax
+ elif key == "Content":
+ return self.y
+ elif key == "Errors":
+ return self.ey
+
+
+class Histogram(DrawableObject, Described):
+
+ def __init__(self, f, p=None):
+ self.props = {}
+ self.customCols = {}
+ self.is2dim = False
+ self.zlog = False
+ self.data = []
+ self.read_input_data(f)
+ self.sigmabinvalue = None
+ self.meanbinvalue = None
+ self.path = p
+
+ def read_input_data(self, f):
+ for line in f:
+ if is_end_marker(line, 'HISTOGRAM'):
+ break
+ elif is_comment(line):
+ continue
+ else:
+ line = line.rstrip()
+ m = pat_property.match(line)
+ if m:
+ prop, value = m.group(1,2)
+ self.props[prop] = value
+ if 'Color' in prop and '{' in value:
+ self.customCols[value] = value
+ else:
+ ## Detect symm errs
+ linearray = line.split()
+ if len(linearray) == 4:
+ self.data.append(BinData(*linearray))
+ ## Detect asymm errs
+ elif len(linearray) == 5:
+ self.data.append(BinData(linearray[0], linearray[1], linearray[2], [linearray[3],linearray[4]]))
+ ## Detect two-dimensionality
+ elif len(linearray) in [6,7]:
+ self.is2dim = True
+ # If asymm z error, use the max or average of +- error
+ err = float(linearray[5])
+ if len(linearray) == 7:
+ if self.props.get("ShowMaxZErr", 1):
+ err = max(err, float(linearray[6]))
+ else:
+ err = 0.5 * (err + float(linearray[6]))
+ self.data.append(BinData([linearray[0], linearray[2]], [linearray[1], linearray[3]], linearray[4], err))
+ ## Unknown histo format
+ else:
+ raise RuntimeError("Unknown HISTOGRAM data line format with %d entries" % len(linearray))
+
+
+ def mangle_input(self):
+ norm2int = self.attr_bool("NormalizeToIntegral", False)
+ norm2sum = self.attr_bool("NormalizeToSum", False)
+ if norm2int or norm2sum:
+ if norm2int and norm2sum:
+ print("Cannot normalise to integral and to sum at the same time. Will normalise to the integral.")
+ foo = 0.0
+ for point in self.data:
+ if norm2int: foo += point.val*point.xwidth
+ else: foo += point.val
+
+ if foo != 0:
+ for point in self.data:
+ point.val /= foo
+ point.err[0] /= foo
+ point.err[1] /= foo
+ scale = self.attr_float('Scale', 1.0)
+ if scale != 1.0:
+ # TODO: change to "in self.data"?
+ for point in self.data:
+ point.val *= scale
+ point.err[0] *= scale
+ point.err[1] *= scale
+ if self.attr_float("ScaleError", 0.0):
+ scale = self.attr_float("ScaleError")
+ for point in self.data:
+ point.err[0] *= scale
+ point.err[1] *= scale
+ if self.attr_float('Shift', 0.0):
+ shift = self.attr_float("Shift")
+ for point in self.data:
+ point.val += shift
+ if self.has_attr('Rebin') and self.attr('Rebin') != '':
+ rawrebins = self.attr('Rebin').strip().split('\t')
+ rebins = []
+ maxindex = len(self.data)-1
+ if len(rawrebins) % 2 == 1:
+ rebins.append({'Start': self.data[0].xmin,
+ 'Rebin': int(rawrebins[0])})
+ rawrebins.pop(0)
+ for i in range(0,len(rawrebins),2):
+ if float(rawrebins[i])<self.data[maxindex].xmin:
+ rebins.append({'Start': float(rawrebins[i]),
+ 'Rebin': int(rawrebins[i+1])})
+ if (rebins[0]['Start'] > self.data[0].xmin):
+ rebins.insert(0,{'Start': self.data[0].xmin,
+ 'Rebin': 1})
+ errortype = self.attr("ErrorType", "stat")
+ newdata = []
+ lower = self.getBin(rebins[0]['Start'])
+ for k in range(0,len(rebins),1):
+ rebin = rebins[k]['Rebin']
+ upper = maxindex
+ end = 1
+ if (k<len(rebins)-1):
+ upper = self.getBin(rebins[k+1]['Start'])
+ end = 0
+ for i in range(lower,(upper/rebin)*rebin+end,rebin):
+ foo=0.
+ barl=0.
+ baru=0.
+ for j in range(rebin):
+ if i+j>maxindex:
+ break
+ binwidth = self.data[i+j].xwidth
+ foo += self.data[i+j].val * binwidth
+ if errortype=="stat":
+ barl += (binwidth * self.data[i+j].err[0])**2
+ baru += (binwidth * self.data[i+j].err[1])**2
+ elif errortype == "env":
+ barl += self.data[i+j].ymin * binwidth
+ baru += self.data[i+j].ymax * binwidth
+ else:
+ logging.error("Rebinning for ErrorType not implemented.")
+ sys.exit(1)
+ upedge = min(i+rebin-1,maxindex)
+ newbinwidth=self.data[upedge].xmax-self.data[i].xmin
+ newcentral=foo/newbinwidth
+ if errortype=="stat":
+ newerror=[sqrt(barl)/newbinwidth,sqrt(baru)/newbinwidth]
+ elif errortype=="env":
+ newerror=[(foo-barl)/newbinwidth,(baru-foo)/newbinwidth]
+ newdata.append(BinData(self.data[i].xmin, self.data[i+rebin-1].xmax, newcentral, newerror))
+ lower = (upper/rebin)*rebin+(upper%rebin)
+ self.data=newdata
+
+ def add(self, name):
+ if len(self.data) != len(name.data):
+ print('+++ Error in Histogram.add() for %s: different numbers of bins' % self.path)
+ for i, b in enumerate(self.data):
+ if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
+ b.val += name.data[i].val
+ b.err[0] = sqrt(b.err[0]**2 + name.data[i].err[0]**2)
+ b.err[1] = sqrt(b.err[1]**2 + name.data[i].err[1]**2)
+ else:
+ print('+++ Error in Histogram.add() for %s: binning of histograms differs' % self.path)
+
+ def divide(self, name):
+ #print(name.path, self.path)
+ if len(self.data) != len(name.data):
+ print('+++ Error in Histogram.divide() for %s: different numbers of bins' % self.path)
+ for i,b in enumerate(self.data):
+ if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
+ try:
+ b.err[0] /= name.data[i].val
+ except ZeroDivisionError:
+ b.err[0] = 0.
+ try:
+ b.err[1] /= name.data[i].val
+ except ZeroDivisionError:
+ b.err[1] = 0.
+ try:
+ b.val /= name.data[i].val
+ except ZeroDivisionError:
+ b.val = 1.
+# b.err[0] = sqrt(b.err[0]**2 + name.data[i].err[0]**2)
+# b.err[1] = sqrt(b.err[1]**2 + name.data[i].err[1]**2)
+ else:
+ print('+++ Error in Histogram.divide() for %s: binning of histograms differs' % self.path)
+
+ def dividereverse(self, name):
+ if len(self.data) != len(name.data):
+ print('+++ Error in Histogram.dividereverse() for %s: different numbers of bins' % self.path)
+ for i, b in enumerate(self.data):
+ if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
+ try:
+ b.err[0] = name.data[i].err[0]/b.val
+ except ZeroDivisionError:
+ b.err[0] = 0.
+ try:
+ b.err[1] = name.data[i].err[1]/b.val
+ except ZeroDivisionError:
+ b.err[1] = 0.
+ try:
+ b.val = name.data[i].val/b.val
+ except ZeroDivisionError:
+ b.val = 1.
+ else:
+ print('+++ Error in Histogram.dividereverse(): binning of histograms differs')
+
+ def deviation(self, name):
+ if len(self.data) != len(name.data):
+ print('+++ Error in Histogram.deviation() for %s: different numbers of bins' % self.path)
+ for i, b in enumerate(self.data):
+ if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
+ b.val -= name.data[i].val
+ try:
+ b.val /= 0.5*sqrt((name.data[i].err[0] + name.data[i].err[1])**2 + (b.err[0] + b.err[1])**2)
+ except ZeroDivisionError:
+ b.val = 0.0
+ try:
+ b.err[0] /= name.data[i].err[0]
+ except ZeroDivisionError:
+ b.err[0] = 0.0
+ try:
+ b.err[1] /= name.data[i].err[1]
+ except ZeroDivisionError:
+ b.err[1] = 0.0
+ else:
+ print('+++ Error in Histogram.deviation() for %s: binning of histograms differs' % self.path)
+
+ def delta(self,name):
+ self.divide(name)
+ for point in self.data:
+ point.val -= 1.
+
+ def deltapercent(self,name):
+ self.delta(name)
+ for point in self.data:
+ point.val *= 100.
+ point.err[0] *= 100.
+ point.err[1] *= 100.
+
+ def getBin(self,x):
+ if x<self.data[0].xmin or x>self.data[len(self.data)-1].xmax:
+ print('+++ Error in Histogram.getBin(): x out of range')
+ return float('nan')
+ for i in range(1,len(self.data)-1,1):
+ if x<self.data[i].xmin:
+ return i-1
+ return len(self.data)-1
+
+ def getChi2(self, name):
+ chi2 = 0.
+ for i, b in enumerate(self.data):
+ if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
+ try:
+ denom = 0.25*(b.err[0] + b.err[1])**2 + 0.25*(name.data[i].err[0] + name.data[i].err[1])**2
+ chi2 += (self.data[i].val - name.data[i].val) ** 2 / denom
+ except ZeroDivisionError:
+ pass
+ else:
+ print('+++ Error in Histogram.getChi2() for %s: binning of histograms differs' % self.path)
+ return chi2 / len(self.data)
+
+ def getSigmaBinValue(self):
+ if self.sigmabinvalue is None:
+ self.sigmabinvalue = 0.
+ sumofweights = 0.
+ for point in self.data:
+ if self.is2dim:
+ binwidth = abs((point.xmax[0] - point.xmin[0])*(point.xmax[1] - point.xmin[1]))
+ else:
+ binwidth = abs(point.xmax - point.xmin)
+ self.sigmabinvalue += binwidth*(point.val - self.getMeanBinValue()) ** 2
+ sumofweights += binwidth
+ self.sigmabinvalue = sqrt(self.sigmabinvalue / sumofweights)
+ return self.sigmabinvalue
+
+ def getMeanBinValue(self):
+ if self.meanbinvalue==None:
+ self.meanbinvalue = 0.
+ sumofweights = 0.
+ for point in self.data:
+ if self.is2dim:
+ binwidth = abs((point.xmax[0] - point.xmin[0])*(point.xmax[1] - point.xmin[1]))
+ else:
+ binwidth = abs(point.xmax - point.xmin)
+ self.meanbinvalue += binwidth*point.val
+ sumofweights += binwidth
+ self.meanbinvalue /= sumofweights
+ return self.meanbinvalue
+
+ def getCorrelation(self, name):
+ correlation = 0.
+ sumofweights = 0.
+ for i, b in enumerate(self.data):
+ if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
+ if self.is2dim:
+ binwidth = abs( (b.xmax[0] - b.xmin[0]) * (b.xmax[1] - b.xmin[1]) )
+ else:
+ binwidth = abs(b.xmax - b.xmin)
+ correlation += binwidth * (b.val - self.getMeanBinValue()) * (name.data[i].val - name.getMeanBinValue())
+ sumofweights += binwidth
+ else:
+ print('+++ Error in Histogram.getCorrelation(): binning of histograms differs' % self.path)
+ correlation /= sumofweights
+ try:
+ correlation /= self.getSigmaBinValue()*name.getSigmaBinValue()
+ except ZeroDivisionError:
+ correlation = 0
+ return correlation
+
+ def getRMSdistance(self,name):
+ distance = 0.
+ sumofweights = 0.
+ for i, b in enumerate(self.data):
+ if fuzzyeq(b.xmin, name.data[i].xmin) and fuzzyeq(b.xmax, name.data[i].xmax):
+ if self.is2dim:
+ binwidth = abs( (b.xmax[0] - b.xmin[0]) * (b.xmax[1] - b.xmin[1]) )
+ else:
+ binwidth = abs(b.xmax - b.xmin)
+ distance += binwidth * ( (b.val - self.getMeanBinValue()) - (name.data[i].val - name.getMeanBinValue())) ** 2
+ sumofweights += binwidth
+ else:
+ print('+++ Error in Histogram.getRMSdistance() for %s: binning of histograms differs' % self.path)
+ distance = sqrt(distance/sumofweights)
+ return distance
+
+ def draw(self): #, addLegend = None):
+ out = ''
+ seen_nan = False
+ if any(b.isValid for b in self.data):
+ out += "% START DATA\n"
+ #legendName = self.getTitle() if addLegend else ''
+ if self.is2dim:
+ points = ''; rowlo = ''; rowhi = ''
+ thisx = None; thisy = None
+ xinit = True; yinit = None
+ zmin = min([ b.val for b in self.data if b.val ])
+ zmax = max([ b.val for b in self.data if b.val ])
+ for b in self.data:
+ if thisx == None or thisx != b.high[0]:
+ if thisx != None:
+ points += '%s\n%s\n' % (rowlo, rowhi)
+ rowlo = ''; rowhi = ''
+ thisx = b.high[0]
+ rowlo += ('%s %s %s\n' % (1.001 * b.low[0], 1.001 * b.low[1], b.val))
+ rowlo += ('%s %s %s\n' % (1.001 * b.low[0], 0.999 * b.high[1], b.val))
+ rowhi += ('%s %s %s\n' % (0.999 * b.high[0], 1.001 * b.low[1], b.val))
+ rowhi += ('%s %s %s\n' % (0.999 * b.high[0], 0.999 * b.high[1], b.val))
+ points += '%s\n%s\n' % (rowlo, rowhi)
+ points += '\n'
+ out += self.make2dee(points, self.zlog, zmin, zmax)
+ else:
+ if self.getErrorBands():
+ self.props['SmoothLine'] = 0
+ points = ('x y- y+\n')
+ for b in self.data:
+ if isnan(b.val) or isnan(b.err[0]) or isnan(b.err[1]):
+ seen_nan = True
+ continue
+ points += ('%s %s %s\n' % (b.xmin, b.val - b.err[0], b.val + b.err[1]))
+ points += ('%s %s %s\n' % (b.xmax, b.val - b.err[0], b.val + b.err[1]))
+ out += self.makeband(points)
+
+ points = ''
+ if self.getErrorBars():
+ self.props['SmoothLine'] = 0
+ points += ('x y ex- ex+ ey- ey+\n')
+ for b in self.data:
+ if isnan(b.val):
+ seen_nan = True
+ continue
+ if self.getErrorBars():
+ if isnan(b.err[0]) or isnan(b.err[1]):
+ seen_nan = True
+ continue
+ if b.val == 0. and b.err == [0.,0.]:
+ continue
+ points += ('%s %s ' % (b.xmid, b.val))
+ if self.removeXerrors():
+ points += ('0 0 ')
+ else:
+ points += ('%s %s ' % (b.xmid - b.xmin, b.xmax - b.xmid))
+ points += ('%s %s' % (b.err[0], b.err[1]))
+ elif self.getSmoothLine():
+ points += ('(%s,%s)' % (b.xmid, b.val))
+ else:
+ points += ('(%s,%s) (%s,%s)' % (b.xmin, b.val, b.xmax, b.val))
+ points += ('\n')
+ out += self.addcurve(points) #, legendName)
+ out += "% END DATA\n"
+ else:
+ print("WARNING: No valid bin value/errors/edges to plot!")
+ out += "% NO DATA!\n"
+
+ if seen_nan:
+ print ("WARNING: NaN-valued value or error bar!")
+ return out
+
+ #def addLegend(self):
+ # out = ''
+ # if self.getTitle():
+ # out += ('\\addlegendentry{%s}\n' % self.getTitle())
+ # return out
+
+ def getXMin(self):
+ if not self.data:
+ return 0
+ elif self.is2dim:
+ return min(b.low[0] for b in self.data)
+ else:
+ return min(b.xmin for b in self.data)
+
+ def getXMax(self):
+ if not self.data:
+ return 1
+ elif self.is2dim:
+ return max(b.high[0] for b in self.data)
+ else:
+ return max(b.xmax for b in self.data)
+
+ def getYMin(self, xmin, xmax, logy):
+ if not self.data:
+ return 0
+ elif self.is2dim:
+ return min(b.low[1] for b in self.data)
+ else:
+ yvalues = []
+ for b in self.data:
+ if (b.xmax > xmin or b.xmin >= xmin) and (b.xmin < xmax or b.xmax <= xmax):
+ foo = b.val
+ if self.getErrorBars() or self.getErrorBands():
+ foo -= b.err[0]
+ if not isnan(foo) and (not logy or foo > 0):
+ yvalues.append(foo)
+ return min(yvalues) if yvalues else self.data[0].val
+
+ def getYMax(self, xmin, xmax):
+ if not self.data:
+ return 1
+ elif self.is2dim:
+ return max(b.high[1] for b in self.data)
+ else:
+ yvalues = []
+ for b in self.data:
+ if (b.xmax > xmin or b.xmin >= xmin) and (b.xmin < xmax or b.xmax <= xmax):
+ foo = b.val
+ if self.getErrorBars() or self.getErrorBands():
+ foo += b.err[1]
+ if not isnan(foo): # and (not logy or foo > 0):
+ yvalues.append(foo)
+ return max(yvalues) if yvalues else self.data[0].val
+
+ def getZMin(self, xmin, xmax, ymin, ymax):
+ if not self.is2dim:
+ return 0
+ zvalues = []
+ for b in self.data:
+ if (b.xmax[0] > xmin and b.xmin[0] < xmax) and (b.xmax[1] > ymin and b.xmin[1] < ymax):
+ zvalues.append(b.val)
+ return min(zvalues)
+
+ def getZMax(self, xmin, xmax, ymin, ymax):
+ if not self.is2dim:
+ return 0
+ zvalues = []
+ for b in self.data:
+ if (b.xmax[0] > xmin and b.xmin[0] < xmax) and (b.xmax[1] > ymin and b.xmin[1] < ymax):
+ zvalues.append(b.val)
+ return max(zvalues)
+
+
+
+class Value(Histogram):
+
+ def read_input_data(self, f):
+ for line in f:
+ if is_end_marker(line, 'VALUE'):
+ break
+ elif is_comment(line):
+ continue
+ else:
+ line = line.rstrip()
+ m = pat_property.match(line)
+ if m:
+ prop, value = m.group(1,2)
+ self.props[prop] = value
+ else:
+ linearray = line.split()
+ if len(linearray) == 3:
+ self.data.append(BinData(0.0, 1.0, linearray[0], [ linearray[1], linearray[2] ])) # dummy x-values
+ else:
+ raise Exception('Value does not have the expected number of columns. ' + line)
+
+ # TODO: specialise draw() here
+
+
+class Counter(Histogram):
+
+ def read_input_data(self, f):
+ for line in f:
+ if is_end_marker(line, 'COUNTER'):
+ break
+ elif is_comment(line):
+ continue
+ else:
+ line = line.rstrip()
+ m = pat_property.match(line)
+ if m:
+ prop, value = m.group(1,2)
+ self.props[prop] = value
+ else:
+ linearray = line.split()
+ if len(linearray) == 2:
+ self.data.append(BinData(0.0, 1.0, linearray[0], [ linearray[1], linearray[1] ])) # dummy x-values
+ else:
+ raise Exception('Counter does not have the expected number of columns. ' + line)
+
+ # TODO: specialise draw() here
+
+
+class Histo1D(Histogram):
+
+ def read_input_data(self, f):
+ for line in f:
+ if is_end_marker(line, 'HISTO1D'):
+ break
+ elif is_comment(line):
+ continue
+ else:
+ line = line.rstrip()
+ m = pat_property.match(line)
+ if m:
+ prop, value = m.group(1,2)
+ self.props[prop] = value
+ if 'Color' in prop and '{' in value:
+ self.customCols[value] = value
+ else:
+ linearray = line.split()
+ ## Detect symm errs
+ # TODO: Not sure what the 8-param version is for... auto-compatibility with YODA format?
+ if len(linearray) in [4,8]:
+ self.data.append(BinData(linearray[0], linearray[1], linearray[2], linearray[3]))
+ ## Detect asymm errs
+ elif len(linearray) == 5:
+ self.data.append(BinData(linearray[0], linearray[1], linearray[2], [linearray[3],linearray[4]]))
+ else:
+ raise Exception('Histo1D does not have the expected number of columns. ' + line)
+
+ # TODO: specialise draw() here
+
+
+class Histo2D(Histogram):
+
+ def read_input_data(self, f):
+ self.is2dim = True #< Should really be done in a constructor, but this is easier for now...
+
+ for line in f:
+ if is_end_marker(line, 'HISTO2D'):
+ break
+ elif is_comment(line):
+ continue
+ else:
+ line = line.rstrip()
+ m = pat_property.match(line)
+ if m:
+ prop, value = m.group(1,2)
+ self.props[prop] = value
+ if 'Color' in prop and '{' in value:
+ self.customCols[value] = value
+ else:
+ linearray = line.split()
+ if len(linearray) in [6,7]:
+ # If asymm z error, use the max or average of +- error
+ err = float(linearray[5])
+ if len(linearray) == 7:
+ if self.props.get("ShowMaxZErr", 1):
+ err = max(err, float(linearray[6]))
+ else:
+ err = 0.5 * (err + float(linearray[6]))
+ self.data.append(BinData([linearray[0], linearray[2]], [linearray[1], linearray[3]], float(linearray[4]), err))
+ else:
+ raise Exception('Histo2D does not have the expected number of columns. '+line)
+
+ # TODO: specialise draw() here
+
+
+####################
+
+
+def try_cmd(args):
+ "Run the given command + args and return True/False if it succeeds or not"
+ import subprocess
+ try:
+ subprocess.check_output(args, stderr=subprocess.STDOUT)
+ return True
+ except:
+ return False
+
+def have_cmd(cmd):
+ return try_cmd(["which", cmd])
+
+
+import shutil, subprocess
+def process_datfile(datfile):
+ global opts
+ if not os.access(datfile, os.R_OK):
+ raise Exception("Could not read data file '%s'" % datfile)
+
+ datpath = os.path.abspath(datfile)
+ datfile = os.path.basename(datpath)
+ datdir = os.path.dirname(datpath)
+ outdir = opts.OUTPUT_DIR if opts.OUTPUT_DIR else datdir
+ filename = datfile.replace('.dat','')
+
+ ## Create a temporary directory
+ # cwd = os.getcwd()
+ tempdir = tempfile.mkdtemp('.make-plots')
+ tempdatpath = os.path.join(tempdir, datfile)
+ shutil.copy(datpath, tempdir)
+ if opts.NO_CLEANUP:
+ logging.info('Keeping temp-files in %s' % tempdir)
+
+ ## Make TeX file
+ inputdata = InputData(datpath)
+ if inputdata.attr_bool('IgnorePlot', False):
+ return
+ texpath = os.path.join(tempdir, '%s.tex' % filename)
+ texfile = open(texpath, 'w')
+ p = Plot()
+ texfile.write(p.write_header(inputdata))
+ if inputdata.attr_bool("MainPlot", True):
+ mp = MainPlot(inputdata)
+ texfile.write(mp.draw(inputdata))
+ if not inputdata.attr_bool("is2dim", False):
+ for rname, i in inputdata.ratio_names():
+ if inputdata.attr_bool(rname, True) and inputdata.attr(rname + 'Reference', False):
+ rp = RatioPlot(inputdata, i)
+ texfile.write(rp.draw(inputdata))
+ #for s in inputdata.special.values():
+ # texfile.write(p.write_special(inputdata))
+ texfile.write(p.write_footer())
+ texfile.close()
+
+ if opts.OUTPUT_FORMAT != ["TEX"]:
+
+ ## Check for the required programs
+ latexavailable = have_cmd("latex")
+ dvipsavailable = have_cmd("dvips")
+ convertavailable = have_cmd("convert")
+ ps2pnmavailable = have_cmd("ps2pnm")
+ pnm2pngavailable = have_cmd("pnm2png")
+
+ # TODO: It'd be nice to be able to control the size of the PNG between thumb and full-size...
+ # currently defaults (and is used below) to a size suitable for thumbnails
+ def mkpngcmd(infile, outfile, outsize=450, density=300):
+ if convertavailable:
+ pngcmd = ["convert",
+ "-flatten",
+ "-density", str(density),
+ infile,
+ "-quality", "100",
+ "-resize", "{size:d}x{size:d}>".format(size=outsize),
+ #"-sharpen", "0x1.0",
+ outfile]
+ #logging.debug(" ".join(pngcmd))
+ #pngproc = subprocess.Popen(pngcmd, stdout=subprocess.PIPE, cwd=tempdir)
+ #pngproc.wait()
+ return pngcmd
+ else:
+ raise Exception("Required PNG maker program (convert) not found")
+ # elif ps2pnmavailable and pnm2pngavailable:
+ # pstopnm = "pstopnm -stdout -xsize=461 -ysize=422 -xborder=0.01 -yborder=0.01 -portrait " + infile
+ # p1 = subprocess.Popen(pstopnm.split(), stdout=subprocess.PIPE, stderr=open("/dev/null", "w"), cwd=tempdir)
+ # p2 = subprocess.Popen(["pnmtopng"], stdin=p1.stdout, stdout=open("%s/%s.png" % (tempdir, outfile), "w"), stderr=open("/dev/null", "w"), cwd=tempdir)
+ # p2.wait()
+ # else:
+ # raise Exception("Required PNG maker programs (convert, or ps2pnm and pnm2png) not found")
+
+ ## Run LaTeX (in no-stop mode)
+ logging.debug(os.listdir(tempdir))
+ texcmd = ["latex", "\scrollmode\input", texpath]
+ logging.debug("TeX command: " + " ".join(texcmd))
+ texproc = subprocess.Popen(texcmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, cwd=tempdir)
+ logging.debug(texproc.communicate()[0])
+ logging.debug(os.listdir(tempdir))
+
+ ## Run dvips
+ dvcmd = ["dvips", filename]
+ if not logging.getLogger().isEnabledFor(logging.DEBUG):
+ dvcmd.append("-q")
+ ## Handle Minion Font
+ if opts.OUTPUT_FONT == "MINION":
+ dvcmd.append('-Pminion')
+
+ ## Choose format
+ # TODO: Rationalise... this is a mess! Maybe we can use tex2pix?
+ if "PS" in opts.OUTPUT_FORMAT:
+ dvcmd += ["-o", "%s.ps" % filename]
+ logging.debug(" ".join(dvcmd))
+ dvproc = subprocess.Popen(dvcmd, stdout=subprocess.PIPE, cwd=tempdir)
+ dvproc.wait()
+ if "PDF" in opts.OUTPUT_FORMAT:
+ dvcmd.append("-f")
+ logging.debug(" ".join(dvcmd))
+ dvproc = subprocess.Popen(dvcmd, stdout=subprocess.PIPE, cwd=tempdir)
+ cnvproc = subprocess.Popen(["ps2pdf", "-"], stdin=dvproc.stdout, stdout=subprocess.PIPE, cwd=tempdir)
+ f = open(os.path.join(tempdir, "%s.pdf" % filename), "wb")
+ f.write(cnvproc.communicate()[0])
+ f.close()
+ if "EPS" in opts.OUTPUT_FORMAT:
+ dvcmd.append("-f")
+ logging.debug(" ".join(dvcmd))
+ dvproc = subprocess.Popen(dvcmd, stdout=subprocess.PIPE, cwd=tempdir)
+ cnvproc = subprocess.Popen(["ps2eps"], stdin=dvproc.stdout, stderr=subprocess.PIPE, stdout=subprocess.PIPE, cwd=tempdir)
+ f = open(os.path.join(tempdir, "%s.eps" % filename), "wb")
+ f.write(cnvproc.communicate()[0])
+ f.close()
+ if "PNG" in opts.OUTPUT_FORMAT:
+ dvcmd.append("-f")
+ logging.debug(" ".join(dvcmd))
+ dvproc = subprocess.Popen(dvcmd, stdout=subprocess.PIPE, cwd=tempdir)
+ #pngcmd = ["convert", "-flatten", "-density", "110", "-", "-quality", "100", "-sharpen", "0x1.0", "%s.png" % filename]
+ pngcmd = mkpngcmd("-", "%s.png" % filename)
+ logging.debug(" ".join(pngcmd))
+ pngproc = subprocess.Popen(pngcmd, stdin=dvproc.stdout, stdout=subprocess.PIPE, cwd=tempdir)
+ pngproc.wait()
+ logging.debug(os.listdir(tempdir))
+
+ ## Copy results back to main dir
+ for fmt in opts.OUTPUT_FORMAT:
+ outname = "%s.%s" % (filename, fmt.lower())
+ outpath = os.path.join(tempdir, outname)
+ if os.path.exists(outpath):
+ shutil.copy(outpath, outdir)
+ else:
+ logging.error("No output file '%s' from processing %s" % (outname, datfile))
+
+ ## Clean up
+ if not opts.NO_CLEANUP:
+ shutil.rmtree(tempdir, ignore_errors=True)
+
+
+####################
+
+
+if __name__ == '__main__':
+
+ ## Try to rename the process on Linux
+ try:
+ import ctypes
+ libc = ctypes.cdll.LoadLibrary('libc.so.6')
+ libc.prctl(15, 'make-plots', 0, 0, 0)
+ except Exception:
+ pass
+
+ ## Try to use Psyco optimiser
+ try:
+ import psyco
+ psyco.full()
+ except ImportError:
+ pass
+
+ ## Find number of (virtual) processing units
+ import multiprocessing
+ try:
+ numcores = multiprocessing.cpu_count()
+ except:
+ numcores = 1
+
+ ## Parse command line options
+ from optparse import OptionParser, OptionGroup
+ parser = OptionParser(usage=__doc__)
+ parser.add_option("-j", "-n", "--num-threads", dest="NUM_THREADS", type="int",
+ default=numcores, help="max number of threads to be used [%s]" % numcores)
+ parser.add_option("-o", "--outdir", dest="OUTPUT_DIR", default=None,
+ help="choose the output directory (default = .dat dir)")
+ parser.add_option("--font", dest="OUTPUT_FONT", choices="palatino,cm,times,helvetica,minion".split(","),
+ default="palatino", help="choose the font to be used in the plots")
+ parser.add_option("-f", "--format", dest="OUTPUT_FORMAT", default="PDF",
+ help="choose plot format, perhaps multiple comma-separated formats e.g. 'pdf' or 'tex,pdf,png' (default = PDF).")
+ parser.add_option("--no-cleanup", dest="NO_CLEANUP", action="store_true", default=False,
+ help="keep temporary directory and print its filename.")
+ parser.add_option("--no-subproc", dest="NO_SUBPROC", action="store_true", default=False,
+ help="don't use subprocesses to render the plots in parallel -- useful for debugging.")
+ parser.add_option("--full-range", dest="FULL_RANGE", action="store_true", default=False,
+ help="plot full y range in log-y plots.")
+ parser.add_option("-c", "--config", dest="CONFIGFILES", action="append", default=None,
+ help="plot config file to be used. Overrides internal config blocks.")
+ verbgroup = OptionGroup(parser, "Verbosity control")
+ verbgroup.add_option("-v", "--verbose", action="store_const", const=logging.DEBUG, dest="LOGLEVEL",
+ default=logging.INFO, help="print debug (very verbose) messages")
+ verbgroup.add_option("-q", "--quiet", action="store_const", const=logging.WARNING, dest="LOGLEVEL",
+ default=logging.INFO, help="be very quiet")
+ parser.add_option_group(verbgroup)
+ opts, args = parser.parse_args()
+
+ ## Tweak the opts output
+ logging.basicConfig(level=opts.LOGLEVEL, format="%(message)s")
+ opts.OUTPUT_FONT = opts.OUTPUT_FONT.upper()
+ opts.OUTPUT_FORMAT = opts.OUTPUT_FORMAT.upper().split(",")
+ if opts.NUM_THREADS == 1:
+ opts.NO_SUBPROC = True
+
+ ## Check for no args
+ if len(args) == 0:
+ logging.error(parser.get_usage())
+ sys.exit(2)
+
+ ## Check that the files exist
+ for f in args:
+ if not os.access(f, os.R_OK):
+ print("Error: cannot read from %s" % f)
+ sys.exit(1)
+
+ ## Test for external programs (kpsewhich, latex, dvips, ps2pdf/ps2eps, and convert)
+ opts.LATEXPKGS = []
+ if opts.OUTPUT_FORMAT != ["TEX"]:
+ try:
+ ## latex
+ if not have_cmd("latex"):
+ logging.error("ERROR: required program 'latex' could not be found. Exiting...")
+ sys.exit(1)
+ ## dvips
+ if not have_cmd("dvips"):
+ logging.error("ERROR: required program 'dvips' could not be found. Exiting...")
+ sys.exit(1)
+
+ ## ps2pdf / ps2eps
+ if "PDF" in opts.OUTPUT_FORMAT:
+ if not have_cmd("ps2pdf"):
+ logging.error("ERROR: required program 'ps2pdf' (for PDF output) could not be found. Exiting...")
+ sys.exit(1)
+ elif "EPS" in opts.OUTPUT_FORMAT:
+ if not have_cmd("ps2eps"):
+ logging.error("ERROR: required program 'ps2eps' (for EPS output) could not be found. Exiting...")
+ sys.exit(1)
+ ## PNG output converter
+ if "PNG" in opts.OUTPUT_FORMAT:
+ if not have_cmd("convert"):
+ logging.error("ERROR: required program 'convert' (for PNG output) could not be found. Exiting...")
+ sys.exit(1)
+
+ ## kpsewhich: required for LaTeX package testing
+ if not have_cmd("kpsewhich"):
+ logging.warning("WARNING: required program 'kpsewhich' (for LaTeX package checks) could not be found")
+ else:
+ ## Check minion font
+ if opts.OUTPUT_FONT == "MINION":
+ p = subprocess.Popen(["kpsewhich", "minion.sty"], stdout=subprocess.PIPE)
+ p.wait()
+ if p.returncode != 0:
+ logging.warning('Warning: Using "--minion" requires minion.sty to be installed. Ignoring it.')
+ opts.OUTPUT_FONT = "PALATINO"
+
+ ## Check for HEP LaTeX packages
+ # TODO: remove HEP-specifics/non-standards?
+ for pkg in ["hepnames", "hepunits", "underscore"]:
+ p = subprocess.Popen(["kpsewhich", "%s.sty" % pkg], stdout=subprocess.PIPE)
+ p.wait()
+ if p.returncode == 0:
+ opts.LATEXPKGS.append(pkg)
+
+ ## Check for Palatino old style figures and small caps
+ if opts.OUTPUT_FONT == "PALATINO":
+ p = subprocess.Popen(["kpsewhich", "ot1pplx.fd"], stdout=subprocess.PIPE)
+ p.wait()
+ if p.returncode == 0:
+ opts.OUTPUT_FONT = "PALATINO_OSF"
+ except Exception as e:
+ logging.warning("Problem while testing for external packages. I'm going to try and continue without testing, but don't hold your breath...")
+
+ def init_worker():
+ import signal
+ signal.signal(signal.SIGINT, signal.SIG_IGN)
+
+ ## Run rendering jobs
+ datfiles = args
+ plotword = "plots" if len(datfiles) > 1 else "plot"
+ logging.info("Making %d %s" % (len(datfiles), plotword))
+ if opts.NO_SUBPROC:
+ init_worker()
+ for i, df in enumerate(datfiles):
+ logging.info("Plotting %s (%d/%d remaining)" % (df, len(datfiles)-i, len(datfiles)))
+ process_datfile(df)
+ else:
+ pool = multiprocessing.Pool(opts.NUM_THREADS, init_worker)
+ try:
+ for i, _ in enumerate(pool.imap(process_datfile, datfiles)):
+ logging.info("Plotting %s (%d/%d remaining)" % (datfiles[i], len(datfiles)-i, len(datfiles)))
+ pool.close()
+ except KeyboardInterrupt:
+ print("Caught KeyboardInterrupt, terminating workers")
+ pool.terminate()
+ except ValueError as e:
+ print(e)
+ print("Perhaps your .dat file is corrupt?")
+ pool.terminate()
+ pool.join()
diff --git a/bin/make-plots b/bin/make-plots
old mode 100644
new mode 100755
--- a/bin/make-plots
+++ b/bin/make-plots
@@ -1,2837 +1,3546 @@
#! /usr/bin/env python
"""\
Usage: %prog [options] file.dat [file2.dat ...]
TODO
* Optimise output for e.g. lots of same-height bins in a row
* Add a RatioFullRange directive to show the full range of error bars + MC envelope in the ratio
* Tidy LaTeX-writing code -- faster to compile one doc only, then split it?
* Handle boolean values flexibly (yes, no, true, false, etc. as well as 1, 0)
"""
from __future__ import print_function
##
## This program is copyright by Hendrik Hoeth <hoeth@linta.de> and
## the Rivet team https://rivet.hepforge.org. It may be used
## for scientific and private purposes. Patches are welcome, but please don't
## redistribute changed versions yourself.
##
## Check the Python version
import sys
if sys.version_info[:3] < (2,6,0):
print("make-plots requires Python version >= 2.6.0... exiting")
sys.exit(1)
## Try to rename the process on Linux
try:
import ctypes
libc = ctypes.cdll.LoadLibrary('libc.so.6')
libc.prctl(15, 'make-plots', 0, 0, 0)
except Exception as e:
pass
import os, logging, re
import tempfile
import getopt
import string
+import copy
from math import *
## Regex patterns
pat_begin_block = re.compile(r'^#+\s*BEGIN ([A-Z0-9_]+) ?(\S+)?')
pat_end_block = re.compile('^#+\s*END ([A-Z0-9_]+)')
pat_comment = re.compile('^#|^\s*$')
pat_property = re.compile('^(\w+?)=(.*)$')
pat_path_property = re.compile('^(\S+?)::(\w+?)=(.*)$')
def fuzzyeq(a, b, tolerance=1e-6):
"Fuzzy equality comparison function for floats, with given fractional tolerance"
# if type(a) is not float or type(a) is not float:
# print(a, b)
if (a == 0 and abs(b) < 1e-12) or (b == 0 and abs(a) < 1e-12):
return True
return 2.0*abs(a-b)/abs(a+b) < tolerance
def inrange(x, a, b):
return x >= a and x < b
def floatify(x):
if type(x) is str:
x = x.split()
if not hasattr(x, "__len__"):
x = [x]
x = [float(a) for a in x]
return x[0] if len(x) == 1 else x
def floatpair(x):
if type(x) is str:
x = x.split()
if hasattr(x, "__len__"):
assert len(x) == 2
return [float(a) for a in x]
return [float(x), float(x)]
def is_end_marker(line, blockname):
m = pat_end_block.match(line)
return m and m.group(1) == blockname
def is_comment(line):
return pat_comment.match(line) is not None
class Described(object):
"Inherited functionality for objects holding a 'description' dictionary"
def __init__(self):
pass
def has_attr(self, key):
return key in self.description
def set_attr(self, key, val):
self.description[key] = val
def attr(self, key, default=None):
return self.description.get(key, default)
def attr_bool(self, key, default=None):
x = self.attr(key, default)
if x is None: return None
if str(x).lower() in ["1", "true", "yes", "on"]: return True
if str(x).lower() in ["0", "false", "no", "off"]: return False
return None
def attr_int(self, key, default=None):
x = self.attr(key, default)
try:
x = int(x)
except:
x = None
return x
def attr_float(self, key, default=None):
x = self.attr(key, default)
try:
x = float(x)
except:
x = None
return x
class InputData(Described):
def __init__(self, filename):
- self.filename = filename
+ self.filename=filename
if not self.filename.endswith(".dat"):
- self.filename += ".dat"
+ self.filename += ".dat"
+ self.normalized=False
self.histos = {}
+ self.ratiohistos = {}
+ self.histomangler = {}
self.special = {}
self.functions = {}
self.description = {}
self.pathdescriptions = []
- self.is2dim = False
- f = open(self.filename)
+ self.description['is2dim'] = False
+ f = open(filename)
for line in f:
m = pat_begin_block.match(line)
if m:
name, path = m.group(1,2)
+
if path is None and name != 'PLOT':
raise Exception('BEGIN sections need a path name.')
- ## Pass the reading of the block to separate functions
if name == 'PLOT':
self.read_input(f);
elif name == 'SPECIAL':
self.special[path] = Special(f)
elif name == 'HISTOGRAM' or name == 'HISTOGRAM2D':
self.histos[path] = Histogram(f, p=path)
- # self.histos[path].path = path
self.description['is2dim'] = self.histos[path].is2dim
+ if not self.histos[path].getName() == '':
+ newname = self.histos[path].getName()
+ self.histos[newname] = copy.deepcopy(self.histos[path])
+ del self.histos[path]
elif name == 'HISTO1D':
self.histos[path] = Histo1D(f, p=path)
+ if not self.histos[path].getName() == '':
+ newname = self.histos[path].getName()
+ self.histos[newname] = copy.deepcopy(self.histos[path])
+ del self.histos[path]
elif name == 'HISTO2D':
self.histos[path] = Histo2D(f, p=path)
self.description['is2dim'] = True
+ if not self.histos[path].getName() == '':
+ newname = self.histos[path].getName()
+ self.histos[newname] = copy.deepcopy(self.histos[path])
+ del self.histos[path]
+ elif name == 'HISTOGRAMMANGLER':
+ self.histomangler[path] = PlotFunction(f)
elif name == 'COUNTER':
- self.histos[path] = Counter(f, p=path)
+ self.histos[path] = Counter(f, p=path)
elif name == 'VALUE':
- self.histos[path] = Value(f, p=path)
+ self.histos[path] = Value(f, p=path)
elif name == 'FUNCTION':
self.functions[path] = Function(f)
# elif is_comment(line):
# continue
# else:
# self.read_path_based_input(line)
f.close()
self.apply_config_files(opts.CONFIGFILES)
- ## Plot (and subplot) sizing
- # TODO: Use attr functions and bools properly
self.description.setdefault('PlotSizeX', 10.)
+ self.description.setdefault('PlotSizeY', 6.)
if self.description['is2dim']:
- self.description['PlotSizeX'] -= 1.7
- self.description['MainPlot'] = '1'
- self.description['RatioPlot'] = '0'
+ self.description['PlotSizeX'] -= 1.7
+ self.description['PlotSizeY'] = 10.
+ self.description['MainPlot'] = '1'
+ self.description['RatioPlot'] = '0'
if self.description.get('PlotSize', '') != '':
plotsizes = self.description['PlotSize'].split(',')
self.description['PlotSizeX'] = float(plotsizes[0])
self.description['PlotSizeY'] = float(plotsizes[1])
if len(plotsizes) == 3:
self.description['RatioPlotSizeY'] = float(plotsizes[2])
del self.description['PlotSize']
- if self.description.get('MainPlot', '1') == '0':
+ self.description['RatioPlotSizeY'] = 0.
+ if self.description.get('MainPlot') == '0':
## Ratio, no main
self.description['RatioPlot'] = '1' #< don't allow both to be zero!
self.description['PlotSizeY'] = 0.
- self.description.setdefault('RatioPlotSizeY', 9.)
- else:
- if self.description.get('RatioPlot', '0') == '1':
- ## Main and ratio
- self.description.setdefault('PlotSizeY', 6.)
- self.description.setdefault('RatioPlotSizeY', self.description.get('RatioPlotYSize', 3.))
+ #if self.description.has_key('RatioPlot') and self.description['RatioPlot']=='1':
+ if self.attr_bool('RatioPlot'):
+ if self.has_attr('RatioPlotYSize') and self.attr('RatioPlotYSize') != '':
+ self.description['RatioPlotSizeY'] = self.attr_float('RatioPlotYSize')
else:
- ## Main, no ratio
- self.description.setdefault('PlotSizeY', self.description.get('PlotYSize', 9.))
- self.description['RatioPlotSizeY'] = 0.
+ if self.attr_bool('MainPlot'): self.description['RatioPlotSizeY'] = 6.
+ else: self.description['RatioPlotSizeY'] = 3.
+ if self.description['is2dim']:
+ self.description['RatioPlotSizeY'] *= 2.
+
+ for i in range(1,9):
+ if self.description.get('RatioPlot'+str(i), '0') == '1':
+ if self.description.get('RatioPlot'+str(i)+'YSize') != '':
+ self.description['RatioPlot'+str(i)+'SizeY'] = float(self.description['RatioPlot'+str(i)+'YSize'])
+ else:
+ if self.description.get('MainPlot') == '0':
+ self.description['RatioPlot'+str(i)+'SizeY'] = 6.
+ else:
+ self.description['RatioPlot'+str(i)+'SizeY'] = 3.
+ if self.description['is2dim']:
+ self.description['RatioPlot'+str(i)+'SizeY'] *= 2.
## Ensure numbers, not strings
self.description['PlotSizeX'] = float(self.description['PlotSizeX'])
self.description['PlotSizeY'] = float(self.description['PlotSizeY'])
self.description['RatioPlotSizeY'] = float(self.description['RatioPlotSizeY'])
# self.description['TopMargin'] = float(self.description['TopMargin'])
# self.description['BottomMargin'] = float(self.description['BottomMargin'])
self.description['LogX'] = str(self.description.get('LogX', 0)) in ["1", "yes", "true"]
self.description['LogY'] = str(self.description.get('LogY', 0)) in ["1", "yes", "true"]
self.description['LogZ'] = str(self.description.get('LogZ', 0)) in ["1", "yes", "true"]
self.description['RatioPlotLogY'] = str(self.description.get('RatioPlotLogY', 0)) in ["1", "yes", "true"]
+ self.description['RatioPlotLogZ'] = str(self.description.get('RatioPlotLogZ', 0)) in ["1", "yes", "true"]
+
+ for i in range(1,9):
+ self.description['RatioPlot'+str(i)+'LogY'] = str(self.description.get('RatioPlot'+str(i)+'LogY', 0)) in ["1", "yes", "true"]
+ self.description['RatioPlot'+str(i)+'LogZ'] = str(self.description.get('RatioPlot'+str(i)+'LogZ', 0)) in ["1", "yes", "true"]
if 'Rebin' in self.description:
for i in self.histos:
self.histos[i].description['Rebin'] = self.description['Rebin']
+ if 'ConnectBins' in self.description:
+ for i in self.histos:
+ self.histos[i].description['ConnectBins'] = self.description['ConnectBins']
histoordermap = {}
- histolist = list(self.histos.keys())
+ histolist = self.histos.keys()
if 'DrawOnly' in self.description:
- histolist = list(filter(list(self.histos.keys()).count, self.description['DrawOnly'].strip().split()))
+ histolist = filter(self.histos.keys().count, self.description['DrawOnly'].strip().split())
for histo in histolist:
order = 0
if 'PlotOrder' in self.histos[histo].description:
order = int(self.histos[histo].description['PlotOrder'])
if not order in histoordermap:
histoordermap[order] = []
histoordermap[order].append(histo)
sortedhistolist = []
for i in sorted(histoordermap.keys()):
sortedhistolist.extend(histoordermap[i])
- self.description['DrawOnly'] = sortedhistolist
+ self.description['DrawOnly']=sortedhistolist
+
+ refhistoordermap = {}
+ refhistolist = self.histos.keys()
+ if 'RatioPlotDrawOnly' in self.description:
+ refhistolist = filter(self.histos.keys().count, self.description['RatioPlotDrawOnly'].strip().split())
+ for histo in refhistolist:
+ order = 0
+ if 'PlotOrder' in self.histos[histo].description:
+ order = int(self.histos[histo].description['PlotOrder'])
+ if not order in refhistoordermap:
+ refhistoordermap[order] = []
+ refhistoordermap[order].append(histo)
+ sortedrefhistolist = []
+ for i in sorted(refhistoordermap.keys()):
+ sortedrefhistolist.extend(refhistoordermap[i])
+ self.description['RatioPlotDrawOnly']=sortedrefhistolist
+ else:
+ self.description['RatioPlotDrawOnly']=self.description['DrawOnly']
+ for i in range(1,9):
+ refhistoordermap = {}
+ refhistolist = self.histos.keys()
+ if self.description.has_key('RatioPlot'+str(i)+'DrawOnly'):
+ refhistolist = filter(self.histos.keys().count, self.description['RatioPlot'+str(i)+'DrawOnly'].strip().split())
+ for histo in refhistolist:
+ order = 0
+ if self.histos[histo].description.has_key('PlotOrder'):
+ order = int(self.histos[histo].description['PlotOrder'])
+ if not order in refhistoordermap:
+ refhistoordermap[order] = []
+ refhistoordermap[order].append(histo)
+ sortedrefhistolist = []
+ for key in sorted(refhistoordermap.keys()):
+ sortedrefhistolist.extend(refhistoordermap[key])
+ self.description['RatioPlot'+str(i)+'DrawOnly']=sortedrefhistolist
+ else:
+ self.description['RatioPlot'+str(i)+'DrawOnly']=self.description['DrawOnly']
## Inherit various values from histograms if not explicitly set
for k in ['LogX', 'LogY', 'LogZ',
'XLabel', 'YLabel', 'ZLabel',
'XCustomMajorTicks', 'YCustomMajorTicks', 'ZCustomMajorTicks']:
self.inherit_from_histos(k)
- return
@property
def is2dim(self):
return self.attr_bool("is2dim", False)
@is2dim.setter
def is2dim(self, val):
self.set_attr("is2dim", val)
@property
def drawonly(self):
x = self.attr("DrawOnly")
if type(x) is str:
self.drawonly = x #< use setter to listify
return x if x else []
@drawonly.setter
def drawonly(self, val):
if type(val) is str:
val = val.strip().split()
self.set_attr("DrawOnly", val)
@property
def stacklist(self):
x = self.attr("Stack")
if type(x) is str:
self.stacklist = x #< use setter to listify
return x if x else []
@stacklist.setter
def stacklist(self, val):
if type(val) is str:
val = val.strip().split()
self.set_attr("Stack", val)
@property
def plotorder(self):
x = self.attr("PlotOrder")
if type(x) is str:
self.plotorder = x #< use setter to listify
return x if x else []
@plotorder.setter
def plotorder(self, val):
if type(val) is str:
val = val.strip().split()
self.set_attr("PlotOrder", val)
@property
def plotsizex(self):
return self.attr_float("PlotSizeX")
@plotsizex.setter
def plotsizex(self, val):
self.set_attr("PlotSizeX", val)
@property
def plotsizey(self):
return self.attr_float("PlotSizeY")
@plotsizey.setter
def plotsizey(self, val):
self.set_attr("PlotSizeY", val)
@property
def plotsize(self):
return [self.plotsizex, self.plotsizey]
@plotsize.setter
def plotsize(self, val):
if type(val) is str:
val = [float(x) for x in val.split(",")]
assert len(val) == 2
self.plotsizex = val[0]
self.plotsizey = val[1]
@property
def ratiosizey(self):
return self.attr_float("RatioPlotSizeY")
@ratiosizey.setter
def ratiosizey(self, val):
self.set_attr("RatioPlotSizeY", val)
@property
def scale(self):
return self.attr_float("Scale")
@scale.setter
def scale(self, val):
self.set_attr("Scale", val)
@property
def xmin(self):
return self.attr_float("XMin")
@xmin.setter
def xmin(self, val):
self.set_attr("XMin", val)
@property
def xmax(self):
return self.attr_float("XMax")
@xmax.setter
def xmax(self, val):
self.set_attr("XMax", val)
@property
def xrange(self):
return [self.xmin, self.xmax]
@xrange.setter
def xrange(self, val):
if type(val) is str:
val = [float(x) for x in val.split(",")]
assert len(val) == 2
self.xmin = val[0]
self.xmax = val[1]
@property
def ymin(self):
return self.attr_float("YMin")
@ymin.setter
def ymin(self, val):
self.set_attr("YMin", val)
@property
def ymax(self):
return self.attr_float("YMax")
@ymax.setter
def ymax(self, val):
self.set_attr("YMax", val)
@property
def yrange(self):
return [self.ymin, self.ymax]
@yrange.setter
def yrange(self, val):
if type(val) is str:
val = [float(y) for y in val.split(",")]
assert len(val) == 2
self.ymin = val[0]
self.ymax = val[1]
# TODO: add more rw properties for plotsize(x,y), ratiosize(y),
# show_mainplot, show_ratioplot, show_legend, log(x,y,z), rebin,
# drawonly, legendonly, plotorder, stack,
# label(x,y,z), majorticks(x,y,z), minorticks(x,y,z),
# min(x,y,z), max(x,y,z), range(x,y,z)
def inherit_from_histos(self, k):
"""Note: this will inherit the key from a random histogram:
only use if you're sure all histograms have this key!"""
if k not in self.description:
h = list(self.histos.values())[0]
if k in h.description:
self.description[k] = h.description[k]
def read_input(self, f):
for line in f:
if is_end_marker(line, 'PLOT'):
break
elif is_comment(line):
continue
m = pat_property.match(line)
if m:
prop, value = m.group(1,2)
if prop in self.description:
logging.debug("Overwriting property %s = %s -> %s" % (prop, self.description[prop], value))
## Use strip here to deal with DOS newlines containing \r
self.description[prop.strip()] = value.strip()
def apply_config_files(self, conffiles):
if conffiles is not None:
for filename in conffiles:
cf = open(filename,'r')
lines = cf.readlines()
for i in range(0, len(lines)):
## First evaluate PLOT sections
m = pat_begin_block.match(lines[i])
if m and m.group(1) == 'PLOT' and re.match(m.group(2),self.filename):
while i<len(lines)-1:
i = i+1
if is_end_marker(lines[i], 'PLOT'):
break
elif is_comment(lines[i]):
continue
m = pat_property.match(lines[i])
if m:
prop, value = m.group(1,2)
if prop in self.description:
logging.debug("Overwriting from conffile property %s = %s -> %s" % (prop, self.description[prop], value))
## Use strip here to deal with DOS newlines containing \r
self.description[prop.strip()] = value.strip()
elif is_comment(lines[i]):
continue
else:
## Then evaluate path-based settings, e.g. for HISTOGRAMs
m = pat_path_property.match(lines[i])
if m:
regex, prop, value = m.group(1,2,3)
for obj_dict in [self.special, self.histos, self.functions]:
for path, obj in obj_dict.items():
if re.match(regex, path):
## Use strip here to deal with DOS newlines containing \r
obj.description.update({prop.strip() : value.strip()})
cf.close()
class Plot(object):
def __init__(self, inputdata):
pass
def set_normalization(self,inputdata):
+ if inputdata.normalized==True:
+ return
for method in ['NormalizeToIntegral', 'NormalizeToSum']:
- if method in inputdata.description:
- for i in inputdata.drawonly:
- if not inputdata.histos[i].has_attr(method):
- inputdata.histos[i].set_attr(method, inputdata.attr(method))
- if inputdata.scale:
- for i in inputdata.drawonly:
- inputdata.histos[i].scale = inputdata.scale
- for i in inputdata.drawonly:
+ if inputdata.description.has_key(method):
+ for i in inputdata.description['DrawOnly']:
+ if not inputdata.histos[i].description.has_key(method):
+ inputdata.histos[i].description[method] = inputdata.description[method]
+ if inputdata.description.has_key('Scale'):
+ for i in inputdata.description['DrawOnly']:
+ inputdata.histos[i].description['Scale'] = float(inputdata.description['Scale'])
+ for i in inputdata.histos.keys():
inputdata.histos[i].mangle_input()
+ inputdata.normalized = True
def stack_histograms(self,inputdata):
if 'Stack' in inputdata.description:
stackhists = [h for h in inputdata.attr('Stack').strip().split() if h in inputdata.histos]
previous = ''
for i in stackhists:
if previous != '':
inputdata.histos[i].add(inputdata.histos[previous])
previous = i
def set_histo_options(self,inputdata):
if 'ConnectGaps' in inputdata.description:
for i in inputdata.histos.keys():
if 'ConnectGaps' not in inputdata.histos[i].description:
inputdata.histos[i].description['ConnectGaps'] = inputdata.description['ConnectGaps']
# Counter and Value only have dummy x-axis, ticks wouldn't make sense here, so suppress them:
if 'Value object' in str(inputdata.histos) or 'Counter object' in str(inputdata.histos):
inputdata.description['XCustomMajorTicks'] = ''
inputdata.description['XCustomMinorTicks'] = ''
def set_borders(self, inputdata):
self.set_xmax(inputdata)
self.set_xmin(inputdata)
self.set_ymax(inputdata)
self.set_ymin(inputdata)
self.set_zmax(inputdata)
self.set_zmin(inputdata)
inputdata.description['Borders'] = (self.xmin, self.xmax, self.ymin, self.ymax, self.zmin, self.zmax)
def set_xmin(self, inputdata):
self.xmin = inputdata.xmin
if self.xmin is None:
xmins = [inputdata.histos[h].getXMin() for h in inputdata.description['DrawOnly']]
self.xmin = min(xmins) if xmins else 0.0
def set_xmax(self,inputdata):
self.xmax = inputdata.xmax
if self.xmax is None:
xmaxs = [inputdata.histos[h].getXMax() for h in inputdata.description['DrawOnly']]
self.xmax = min(xmaxs) if xmaxs else 1.0
def set_ymin(self,inputdata):
if inputdata.ymin is not None:
self.ymin = inputdata.ymin
else:
ymins = [inputdata.histos[i].getYMin(self.xmin, self.xmax, inputdata.description['LogY']) for i in inputdata.attr('DrawOnly')]
minymin = min(ymins) if ymins else 0.0
if inputdata.description['is2dim']:
self.ymin = minymin
else:
showzero = inputdata.attr_bool("ShowZero", True)
if showzero:
self.ymin = 0. if minymin > -1e-4 else 1.1*minymin
else:
self.ymin = 1.1*minymin if minymin < -1e-4 else 0 if minymin < 1e-4 else 0.9*minymin
if inputdata.description['LogY']:
ymins = [ymin for ymin in ymins if ymin > 0.0]
if not ymins:
if self.ymax == 0:
self.ymax = 1
ymins.append(2e-7*self.ymax)
minymin = min(ymins)
fullrange = opts.FULL_RANGE
if inputdata.has_attr('FullRange'):
fullrange = inputdata.attr_bool('FullRange')
self.ymin = minymin/1.7 if fullrange else max(minymin/1.7, 2e-7*self.ymax)
if self.ymin == self.ymax:
self.ymin -= 1
self.ymax += 1
def set_ymax(self,inputdata):
if inputdata.has_attr('YMax'):
self.ymax = inputdata.attr_float('YMax')
else:
ymaxs = [inputdata.histos[h].getYMax(self.xmin, self.xmax) for h in inputdata.attr('DrawOnly')]
self.ymax = max(ymaxs) if ymaxs else 1.0
if not inputdata.is2dim:
self.ymax *= (1.7 if inputdata.attr_bool('LogY') else 1.1)
def set_zmin(self,inputdata):
if inputdata.has_attr('ZMin'):
self.zmin = inputdata.attr_float('ZMin')
else:
zmins = [inputdata.histos[i].getZMin(self.xmin, self.xmax, self.ymin, self.ymax) for i in inputdata.attr('DrawOnly')]
minzmin = min(zmins) if zmins else 0.0
self.zmin = minzmin
if zmins:
showzero = inputdata.attr_bool('ShowZero', True)
if showzero:
self.zmin = 0 if minzmin > -1e-4 else 1.1*minzmin
else:
self.zmin = 1.1*minzmin if minzmin < -1e-4 else 0. if minzmin < 1e-4 else 0.9*minzmin
if inputdata.attr_bool('LogZ', False):
zmins = [zmin for zmin in zmins if zmin > 0]
if not zmins:
if self.zmax == 0:
self.zmax = 1
zmins.append(2e-7*self.zmax)
minzmin = min(zmins)
fullrange = inputdata.attr_bool("FullRange", opts.FULL_RANGE)
self.zmin = minzmin/1.7 if fullrange else max(minzmin/1.7, 2e-7*self.zmax)
if self.zmin == self.zmax:
self.zmin -= 1
self.zmax += 1
def set_zmax(self,inputdata):
self.zmax = inputdata.attr_float('ZMax')
if self.zmax is None:
zmaxs = [inputdata.histos[h].getZMax(self.xmin, self.xmax, self.ymin, self.ymax) for h in inputdata.attr('DrawOnly')]
self.zmax = max(zmaxs) if zmaxs else 1.0
def draw(self):
pass
def write_header(self,inputdata):
if inputdata.description.get('LeftMargin', '') != '':
inputdata.description['LeftMargin'] = float(inputdata.description['LeftMargin'])
else:
inputdata.description['LeftMargin'] = 1.4
if inputdata.description.get('RightMargin', '') != '':
inputdata.description['RightMargin'] = float(inputdata.description['RightMargin'])
else:
inputdata.description['RightMargin'] = 0.35
if inputdata.description.get('TopMargin', '') != '':
inputdata.description['TopMargin'] = float(inputdata.description['TopMargin'])
else:
inputdata.description['TopMargin'] = 0.65
if inputdata.description.get('BottomMargin', '') != '':
inputdata.description['BottomMargin'] = float(inputdata.description['BottomMargin'])
else:
inputdata.description['BottomMargin'] = 0.95
if inputdata.description['is2dim']:
- inputdata.description['RightMargin'] += 1.7
+ inputdata.description['RightMargin'] += 1.8
papersizex = inputdata.description['PlotSizeX'] + 0.1 + \
inputdata.description['LeftMargin'] + inputdata.description['RightMargin']
- papersizey = inputdata.description['PlotSizeY'] + inputdata.description['RatioPlotSizeY'] + 0.1 + \
+ papersizey = inputdata.description['PlotSizeY'] + 0.1 + \
inputdata.description['TopMargin'] + inputdata.description['BottomMargin']
+ papersizey += inputdata.description['RatioPlotSizeY']
+ for i in range(1,9):
+ if inputdata.description.has_key('RatioPlot'+str(i)+'SizeY'):
+ papersizey += inputdata.description['RatioPlot'+str(i)+'SizeY']
#
out = ""
out += '\\documentclass{article}\n'
if opts.OUTPUT_FONT == "MINION":
out += ('\\usepackage{minion}\n')
elif opts.OUTPUT_FONT == "PALATINO_OSF":
out += ('\\usepackage[osf,sc]{mathpazo}\n')
elif opts.OUTPUT_FONT == "PALATINO":
out += ('\\usepackage{mathpazo}\n')
elif opts.OUTPUT_FONT == "TIMES":
out += ('\\usepackage{mathptmx}\n')
elif opts.OUTPUT_FONT == "HELVETICA":
out += ('\\renewcommand{\\familydefault}{\\sfdefault}\n')
out += ('\\usepackage{sfmath}\n')
out += ('\\usepackage{helvet}\n')
out += ('\\usepackage[symbolgreek]{mathastext}\n')
for pkg in opts.LATEXPKGS:
out += ('\\usepackage{%s}\n' % pkg)
+ out += ('\\usepackage[dvipsnames]{xcolor}\n')
out += ('\\usepackage{pst-all}\n')
- out += ('\\usepackage{xcolor}\n')
out += ('\\selectcolormodel{rgb}\n')
out += ('\\definecolor{red}{HTML}{EE3311}\n') # (Google uses 'DC3912')
out += ('\\definecolor{blue}{HTML}{3366FF}')
out += ('\\definecolor{green}{HTML}{109618}')
out += ('\\definecolor{orange}{HTML}{FF9900}')
out += ('\\definecolor{lilac}{HTML}{990099}')
out += ('\\usepackage{amsmath}\n')
out += ('\\usepackage{amssymb}\n')
out += ('\\usepackage{relsize}\n')
+ out += ('\\usepackage{graphicx}\n')
out += ('\\usepackage[dvips,\n')
out += (' left=%4.3fcm, right=0cm,\n' % (inputdata.description['LeftMargin']-0.45,))
out += (' top=%4.3fcm, bottom=0cm,\n' % (inputdata.description['TopMargin']-0.30,))
out += (' paperwidth=%scm,paperheight=%scm\n' % (papersizex,papersizey))
out += (']{geometry}\n')
+ if inputdata.description.has_key('DefineColor'):
+ out += ('% user defined colours\n')
+ for color in inputdata.description['DefineColor'].split('\t'):
+ out += ('%s\n' %color)
+ if inputdata.description.has_key('UseExtendedPSTricks') and inputdata.description['UseExtendedPSTricks']=='1':
+ out += self.write_extended_pstricks()
out += ('\\begin{document}\n')
out += ('\\pagestyle{empty}\n')
out += ('\\SpecialCoor\n')
out += ('\\begin{pspicture}(0,0)(0,0)\n')
out += ('\\psset{xunit=%scm}\n' %(inputdata.description['PlotSizeX']))
if inputdata.description['is2dim']:
if inputdata.description.get('ColorSeries', '') != '':
colorseries = inputdata.description['ColorSeries']
else:
colorseries = '{hsb}{grad}[rgb]{0,0,1}{-.700,0,0}'
out += ('\\definecolorseries{gradientcolors}%s\n' % colorseries)
out += ('\\resetcolorseries[130]{gradientcolors}\n')
return out
+ def write_extended_pstricks(self):
+ out = ''
+ out += ('\\usepackage{pstricks-add}\n')
+ out += ('\\makeatletter\n')
+ out += ('\\def\\pshs@solid{0 setlinecap }\n')
+ out += ('\\def\\pshs@dashed{[ \\psk@dash ] 0 setdash }\n')
+ out += ('\\def\\pshs@dotted{[ 0 \\psk@dotsep CLW add ] 0 setdash 1 setlinecap }\n')
+ out += ('\\def\\psset@hatchstyle#1{%\n')
+ out += ('\\@ifundefined{pshs@#1}%\n')
+ out += ('{\\@pstrickserr{Hatch style `#1\' not defined}\\@eha}%\n')
+ out += ('{\\edef\\pshatchstyle{#1}}}\n')
+ out += ('\\psset@hatchstyle{solid}\n')
+ out += ('\\def\\pst@linefill{%\n')
+ out += ('\\@nameuse{pshs@\\pshatchstyle}\n')
+ out += ('\\psk@hatchangle rotate\n')
+ out += ('\\psk@hatchwidth SLW\n')
+ out += ('\\pst@usecolor\\pshatchcolor\n')
+ out += ('\\psk@hatchsep\n')
+ out += ('\\tx@LineFill}\n')
+ out += ('\\pst@def{LineFill}<{%\n')
+ out += ('gsave\n')
+ out += (' abs CLW add\n')
+ out += (' /a ED\n')
+ out += (' a 0 dtransform\n')
+ out += (' round exch round exch 2 copy idtransform\n')
+ out += (' exch Atan rotate idtransform\n')
+ out += (' pop\n')
+ out += (' /a ED\n')
+ out += (' .25 .25 itransform\n')
+ out += (' pathbbox\n')
+ out += (' /y2 ED\n')
+ out += (' a Div ceiling cvi\n')
+ out += (' /x2 ED\n')
+ out += (' /y1 ED\n')
+ out += (' a Div cvi\n')
+ out += (' /x1 ED\n')
+ out += (' /y2 y2 y1 sub def\n')
+ out += (' clip\n')
+ out += (' newpath\n')
+ out += (' systemdict\n')
+ out += (' /setstrokeadjust\n')
+ out += (' known { true setstrokeadjust } if\n')
+ out += (' x2 x1 sub 1 add\n')
+ out += (' { x1 a mul y1 moveto\n')
+ out += (' 0 y2 rlineto\n')
+ out += (' stroke\n')
+ out += (' /x1 x1 1 add def } repeat\n')
+ out += (' grestore\n')
+ out += ('pop pop}>\n')
+ out += ('\makeatother\n')
+ return out
+
def write_footer(self):
out = ""
out += ('\\end{pspicture}\n')
out += ('\\end{document}\n')
return out
class MainPlot(Plot):
def __init__(self, inputdata):
+ self.name = 'MainPlot'
+ inputdata.description['PlotStage'] = 'MainPlot'
self.set_normalization(inputdata)
self.stack_histograms(inputdata)
do_gof = inputdata.description.get('GofLegend', '0') == '1' or inputdata.description.get('GofFrame', '') != ''
do_taylor = inputdata.description.get('TaylorPlot', '0') == '1'
if do_gof and not do_taylor:
self.calculate_gof(inputdata)
self.set_histo_options(inputdata)
self.set_borders(inputdata)
self.yoffset = inputdata.description['PlotSizeY']
self.coors = Coordinates(inputdata)
def draw(self, inputdata):
out = ""
out += ('\n%\n% MainPlot\n%\n')
out += ('\\psset{yunit=%scm}\n' %(self.yoffset))
out += ('\\rput(0,-1){%\n')
out += ('\\psset{yunit=%scm}\n' %(inputdata.description['PlotSizeY']))
out += self._draw(inputdata)
out += ('}\n')
return out
def _draw(self, inputdata):
out = ""
- ## Draw a white background first
- # TODO: Allow specifying in-frame bg color
- out += '\n'
- out += '\\psframe[linewidth=0pt,linestyle=none,fillstyle=solid,fillcolor=white,dimen=middle](0,0)(1,1)\n'
- out += '\n'
-
- # TODO: do this more compactly, e.g. by assigning sorting keys!
+ frame = Frame(inputdata.description,self.name)
+ out += frame.drawZeroLine(self.coors.phys2frameY(0))
+ out += frame.drawUnitLine(self.coors.phys2frameY(1))
+
if inputdata.attr_bool('DrawSpecialFirst', False):
for s in inputdata.special.values():
- out += s.draw(self.coors)
- if inputdata.attr_bool('DrawFunctionFirst', False):
- for f in inputdata.functions.values():
- out += f.draw(self.coors)
- for i in inputdata.description['DrawOnly']:
- out += inputdata.histos[i].draw(self.coors)
- else:
- for i in inputdata.description['DrawOnly']:
- out += inputdata.histos[i].draw(self.coors)
- for f in inputdata.functions.values():
- out += f.draw(self.coors)
- else:
- if inputdata.attr_bool('DrawFunctionFirst', False):
- for f in inputdata.functions.values():
- out += f.draw(self.coors)
- for i in inputdata.description['DrawOnly']:
- out += inputdata.histos[i].draw(self.coors)
- else:
- for i in inputdata.description['DrawOnly']:
- out += inputdata.histos[i].draw(self.coors)
- for f in inputdata.functions.values():
- out += f.draw(self.coors)
+ out += s.draw(self.coors,inputdata)
+ if inputdata.attr_bool('DrawFunctionFirst', False):
+ for f in inputdata.functions.values():
+ out += f.draw(self.coors,inputdata)
+ for i in inputdata.description['DrawOnly']:
+ out += inputdata.histos[i].draw(self.coors)
+ if not inputdata.attr_bool('DrawSpecialFirst', False):
for s in inputdata.special.values():
- out += s.draw(self.coors)
+ out += s.draw(self.coors,inputdata)
+ if not inputdata.attr_bool('DrawFunctionFirst', False):
+ for f in inputdata.functions.values():
+ out += f.draw(self.coors,inputdata)
if inputdata.attr_bool('Legend', False):
- legend = Legend(inputdata.description,inputdata.histos,inputdata.functions)
+ legend = Legend(inputdata.description,inputdata.histos,inputdata.functions,'Legend',1)
out += legend.draw()
+ for i in range(1,10):
+ if inputdata.attr_bool('Legend'+str(i), False):
+ legend = Legend(inputdata.description,inputdata.histos,inputdata.functions,'Legend'+str(i),i)
+ out += legend.draw()
if inputdata.description['is2dim']:
colorscale = ColorScale(inputdata.description, self.coors)
out += colorscale.draw()
- frame = Frame()
- out += frame.draw(inputdata)
+ out += frame.draw()
xcustommajortickmarks = inputdata.attr_int('XMajorTickMarks', -1)
xcustomminortickmarks = inputdata.attr_int('XMinorTickMarks', -1)
- xcustommajorticks = xcustomminorticks = None
+ xcustommajorticks = []
+ xcustomminorticks = []
+ xbreaks=[]
if inputdata.attr('XCustomMajorTicks'):
- xcustommajorticks = []
x_label_pairs = inputdata.attr('XCustomMajorTicks').strip().split() #'\t')
if len(x_label_pairs) % 2 == 0:
for i in range(0, len(x_label_pairs), 2):
xcustommajorticks.append({'Value': float(x_label_pairs[i]), 'Label': x_label_pairs[i+1]})
else:
print("Warning: XCustomMajorTicks requires an even number of alternating pos/label entries")
if inputdata.attr('XCustomMinorTicks'):
xs = inputdata.attr('XCustomMinorTicks').strip().split() #'\t')
xcustomminorticks = [{'Value': float(x)} for x in xs]
+ if inputdata.description.has_key('XBreaks') and inputdata.description['XBreaks']!='':
+ FOO=inputdata.description['XBreaks'].strip().split('\t')
+ xbreaks = [{'Value': float(FOO[i])} for i in range(len(FOO))]
xticks = XTicks(inputdata.description, self.coors)
- drawxlabels = inputdata.attr_bool('PlotXTickLabels', True) and not inputdata.attr_bool('RatioPlot', False)
+ drawlabels = True
+ if (inputdata.description.has_key('PlotTickLabels') and inputdata.description['PlotTickLabels']=='0'):
+ drawlabels=False
+ if (inputdata.description.has_key('RatioPlot') and inputdata.description['RatioPlot']=='1'):
+ drawlabels=False
+ for i in range(1,9):
+ if (inputdata.description.has_key('RatioPlot'+str(i)) and inputdata.description['RatioPlot'+str(i)]=='1'):
+ drawlabels=False
out += xticks.draw(custommajortickmarks=xcustommajortickmarks,
customminortickmarks=xcustomminortickmarks,
custommajorticks=xcustommajorticks,
customminorticks=xcustomminorticks,
- drawlabels=drawxlabels)
+ drawlabels=drawlabels,
+ breaks=xbreaks)
ycustommajortickmarks = inputdata.attr_int('YMajorTickMarks', -1)
ycustomminortickmarks = inputdata.attr_int('YMinorTickMarks', -1)
- ycustommajorticks = ycustomminorticks = None
+ ycustommajorticks = []
+ ycustomminorticks = []
+ ybreaks=[]
if 'YCustomMajorTicks' in inputdata.description:
- ycustommajorticks = []
y_label_pairs = inputdata.description['YCustomMajorTicks'].strip().split() #'\t')
if len(y_label_pairs) % 2 == 0:
for i in range(0, len(y_label_pairs), 2):
ycustommajorticks.append({'Value': float(y_label_pairs[i]), 'Label': y_label_pairs[i+1]})
else:
print("Warning: YCustomMajorTicks requires an even number of alternating pos/label entries")
if inputdata.has_attr('YCustomMinorTicks'):
ys = inputdata.attr('YCustomMinorTicks').strip().split() #'\t')
ycustomminorticks = [{'Value': float(y)} for y in ys]
yticks = YTicks(inputdata.description, self.coors)
drawylabels = inputdata.attr_bool('PlotYTickLabels', True)
+ if inputdata.description.has_key('YBreaks') and inputdata.description['YBreaks']!='':
+ FOO=inputdata.description['YBreaks'].strip().split('\t')
+ for i in range(len(FOO)):
+ ybreaks.append({'Value': float(FOO[i])})
out += yticks.draw(custommajortickmarks=ycustommajortickmarks,
customminortickmarks=ycustomminortickmarks,
custommajorticks=ycustommajorticks,
customminorticks=ycustomminorticks,
- drawlabels=drawylabels)
+ drawlabels=drawylabels,
+ breaks=ybreaks)
labels = Labels(inputdata.description)
- if inputdata.attr_bool('RatioPlot', False):
- olab = labels.draw(['Title','YLabel'])
+ if drawlabels:
+ if inputdata.description['is2dim']:
+ out += labels.draw(['Title','XLabel','YLabel','ZLabel'])
+ else:
+ out += labels.draw(['Title','XLabel','YLabel'])
else:
- if not inputdata.description['is2dim']:
- olab = labels.draw(['Title','XLabel','YLabel'])
- else:
- olab = labels.draw(['Title','XLabel','YLabel','ZLabel'])
- out += olab
+ out += labels.draw(['Title','YLabel'])
+ #if inputdata.attr_bool('RatioPlot', False):
+ # out += labels.draw(['Title','YLabel'])
+ #elif drawlabels:
+ # if not inputdata.description['is2dim']:
+ # out += labels.draw(['Title','XLabel','YLabel'])
+ # else:
+ # out += labels.draw(['Title','XLabel','YLabel','ZLabel'])
return out
def calculate_gof(self, inputdata):
refdata = inputdata.description.get('GofReference')
if refdata is None:
refdata = inputdata.description.get('RatioPlotReference')
if refdata is None:
inputdata.description['GofLegend'] = '0'
inputdata.description['GofFrame'] = ''
return
def pickcolor(gof):
color = None
colordefs = {}
for i in inputdata.description.setdefault('GofFrameColor', '0:green 3:yellow 6:red!70').strip().split():
foo = i.split(':')
if len(foo) != 2:
continue
colordefs[float(foo[0])] = foo[1]
for i in sorted(colordefs.keys()):
if gof>=i:
color=colordefs[i]
return color
inputdata.description.setdefault('GofLegend', '0')
inputdata.description.setdefault('GofFrame', '')
inputdata.description.setdefault('FrameColor', None)
for i in inputdata.description['DrawOnly']:
if i == refdata:
continue
if inputdata.description['GofLegend']!='1' and i!=inputdata.description['GofFrame']:
continue
if inputdata.description.get('GofType', "chi2") != 'chi2':
return
gof = inputdata.histos[i].getChi2(inputdata.histos[refdata])
if i == inputdata.description['GofFrame'] and inputdata.description['FrameColor'] is None:
inputdata.description['FrameColor'] = pickcolor(gof)
if inputdata.histos[i].description.setdefault('Title', '') != '':
inputdata.histos[i].description['Title'] += ', '
inputdata.histos[i].description['Title'] += '$\\chi^2/n={}$%1.2f' %gof
class TaylorPlot(Plot):
def __init__(self, inputdata):
self.refdata = inputdata.description['TaylorPlotReference']
self.calculate_taylorcoordinates(inputdata)
def calculate_taylorcoordinates(self,inputdata):
foo = inputdata.description['DrawOnly'].pop(inputdata.description['DrawOnly'].index(self.refdata))
inputdata.description['DrawOnly'].append(foo)
for i in inputdata.description['DrawOnly']:
print(i)
print('meanbinval = ', inputdata.histos[i].getMeanBinValue())
print('sigmabinval = ', inputdata.histos[i].getSigmaBinValue())
print('chi2/nbins = ', inputdata.histos[i].getChi2(inputdata.histos[self.refdata]))
print('correlation = ', inputdata.histos[i].getCorrelation(inputdata.histos[self.refdata]))
print('distance = ', inputdata.histos[i].getRMSdistance(inputdata.histos[self.refdata]))
class RatioPlot(Plot):
- def __init__(self, inputdata):
-
- self.refdata = inputdata.description['RatioPlotReference']
- self.yoffset = inputdata.description['PlotSizeY'] + inputdata.description['RatioPlotSizeY']
-
- inputdata.description['RatioPlotStage'] = True
- inputdata.description['PlotSizeY'] = inputdata.description['RatioPlotSizeY']
- inputdata.description['LogY'] = inputdata.description.get("RatioPlotLogY", False)
+ def __init__(self, inputdata, i):
+ self.number=i
+ self.name='RatioPlot'+str(i)
+ if i==0:
+ self.name='RatioPlot'
+ # initialise histograms even when no main plot
+ self.set_normalization(inputdata)
+ self.refdata = inputdata.description[self.name+'Reference']
+ if not inputdata.histos.has_key(self.refdata):
+ print('ERROR: %sReference=%s not found in:' % (self.name,self.refdata))
+ for i in inputdata.histos.keys():
+ print(' ',i)
+ sys.exit(1)
+ if not inputdata.description.has_key('RatioPlotYOffset'):
+ inputdata.description['RatioPlotYOffset'] = inputdata.description['PlotSizeY']
+ if not inputdata.description.has_key(self.name + 'SameStyle'):
+ inputdata.description[self.name+'SameStyle'] = '1'
+ self.yoffset = inputdata.description['RatioPlotYOffset'] + inputdata.description[self.name+'SizeY']
+ inputdata.description['PlotStage'] = self.name
+ inputdata.description['RatioPlotYOffset'] = self.yoffset
+ inputdata.description['PlotSizeY'] = inputdata.description[self.name+'SizeY']
+ inputdata.description['LogY'] = inputdata.description.get(self.name+"LogY", False)
# TODO: It'd be nice it this wasn't so MC-specific
- rpmode = inputdata.description.get('RatioPlotMode', "mcdata")
- if rpmode == 'deviation':
- inputdata.description['YLabel'] = '$(\\text{MC}-\\text{data})$'
- inputdata.description['YMin'] = -3.5
- inputdata.description['YMax'] = 3.5
- elif rpmode == 'datamc':
- inputdata.description['YLabel'] = 'Data/MC'
- inputdata.description['YMin'] = 0.5
- inputdata.description['YMax'] = 1.5
+ rpmode = inputdata.description.get(self.name+'Mode', "mcdata")
+ if rpmode=='deviation':
+ inputdata.description['YLabel']='$(\\text{MC}-\\text{data})$'
+ inputdata.description['YMin']=-2.99
+ inputdata.description['YMax']=2.99
+ elif rpmode=='delta':
+ inputdata.description['YLabel']='\\delta'
+ inputdata.description['YMin']=-0.5
+ inputdata.description['YMax']=0.5
+ elif rpmode=='deltapercent':
+ inputdata.description['YLabel']='\\delta\;[\%]'
+ inputdata.description['YMin']=-50.
+ inputdata.description['YMax']=50.
+ elif rpmode=='deltamc':
+ inputdata.description['YLabel']='Data/MC'
+ inputdata.description['YMin']=0.5
+ inputdata.description['YMax']=1.5
else:
inputdata.description['YLabel'] = 'MC/Data'
inputdata.description['YMin'] = 0.5
inputdata.description['YMax'] = 1.5
- if 'RatioPlotYLabel' in inputdata.description:
- inputdata.description['YLabel'] = inputdata.description['RatioPlotYLabel']
+ if inputdata.description.has_key(self.name+'YLabel'):
+ inputdata.description['YLabel']=inputdata.description[self.name+'YLabel']
inputdata.description['YLabel']='\\rput(-%s,0){%s}'%(0.5*inputdata.description['PlotSizeY']/inputdata.description['PlotSizeX'],inputdata.description['YLabel'])
-
- if 'RatioPlotYMin' in inputdata.description:
- inputdata.description['YMin'] = inputdata.description['RatioPlotYMin']
- if 'RatioPlotYMax' in inputdata.description:
- inputdata.description['YMax'] = inputdata.description['RatioPlotYMax']
-
- if 'RatioPlotErrorBandColor' not in inputdata.description:
- inputdata.description['RatioPlotErrorBandColor'] = 'yellow'
- if inputdata.description.get('RatioPlotSameStyle', '0') == '0':
- inputdata.histos[self.refdata].description['ErrorBandColor'] = inputdata.description['RatioPlotErrorBandColor']
+ if inputdata.description.has_key(self.name+'YMin'):
+ inputdata.description['YMin']=inputdata.description[self.name+'YMin']
+ if inputdata.description.has_key(self.name+'YMax'):
+ inputdata.description['YMax']=inputdata.description[self.name+'YMax']
+ if inputdata.description.has_key(self.name+'YLabelSep'):
+ inputdata.description['YLabelSep']=inputdata.description[self.name+'YLabelSep']
+ if not inputdata.description.has_key(self.name+'ErrorBandColor'):
+ inputdata.description[self.name+'ErrorBandColor']='yellow'
+ if not inputdata.description.has_key(self.name+'SameStyle') or inputdata.description[self.name+'SameStyle']=='0':
+ inputdata.histos[self.refdata].description['ErrorBandColor']=inputdata.description[self.name+'ErrorBandColor']
inputdata.histos[self.refdata].description['ErrorBands'] = '1'
inputdata.histos[self.refdata].description['ErrorBars'] = '0'
+ inputdata.histos[self.refdata].description['ErrorTubes']='0'
inputdata.histos[self.refdata].description['LineStyle'] = 'solid'
inputdata.histos[self.refdata].description['LineColor'] = 'black'
inputdata.histos[self.refdata].description['LineWidth'] = '0.3pt'
inputdata.histos[self.refdata].description['PolyMarker'] = ''
inputdata.histos[self.refdata].description['ConnectGaps'] = '1'
self.calculate_ratios(inputdata)
self.set_borders(inputdata)
self.coors = Coordinates(inputdata)
def draw(self, inputdata):
out = ""
out += ('\n%\n% RatioPlot\n%\n')
out += ('\\psset{yunit=%scm}\n' %(self.yoffset))
out += ('\\rput(0,-1){%\n')
out += ('\\psset{yunit=%scm}\n' %(inputdata.description['PlotSizeY']))
out += self._draw(inputdata)
out += ('}\n')
return out
- def calculate_ratios(self, inputdata):
- foo = inputdata.description['DrawOnly'].pop(inputdata.description['DrawOnly'].index(self.refdata))
- if inputdata.histos[self.refdata].description.get('ErrorBands', '0') == '1':
- inputdata.description['DrawOnly'].insert(0,foo)
+ def calculate_ratios(self,inputdata):
+ inputdata.ratiohistos = {}
+ inputdata.ratiohistos = copy.deepcopy(inputdata.histos)
+ foo=inputdata.description[self.name+'DrawOnly'].pop(inputdata.description[self.name+'DrawOnly'].index(self.refdata))
+ if not (inputdata.description.has_key(self.name+'DrawReferenceFirst') and inputdata.description[self.name+'DrawReferenceFirst']=='0'):
+ if inputdata.histos[self.refdata].description.has_key('ErrorBands') and inputdata.histos[self.refdata].description['ErrorBands']=='1':
+ inputdata.description[self.name+'DrawOnly'].insert(0,foo)
+ else:
+ inputdata.description[self.name+'DrawOnly'].append(foo)
else:
- inputdata.description['DrawOnly'].append(foo)
- rpmode = inputdata.description.get('RatioPlotMode', "mcdata")
- for i in inputdata.description['DrawOnly']:
- if i != self.refdata:
+ inputdata.description[self.name+'DrawOnly'].append(foo)
+ rpmode = inputdata.description.get(self.name+'Mode', 'mcdata')
+ for i in inputdata.description[self.name+'DrawOnly']:
+ if i!=self.refdata:
if rpmode == 'deviation':
- inputdata.histos[i].deviation(inputdata.histos[self.refdata])
+ inputdata.ratiohistos[i].deviation(inputdata.ratiohistos[self.refdata])
+ elif rpmode == 'delta':
+ inputdata.ratiohistos[i].delta(inputdata.ratiohistos[self.refdata])
+ elif rpmode == 'deltapercent':
+ inputdata.ratiohistos[i].deltapercent(inputdata.ratiohistos[self.refdata])
elif rpmode == 'datamc':
- inputdata.histos[i].dividereverse(inputdata.histos[self.refdata])
- inputdata.histos[i].description['ErrorBars'] = '1'
+ inputdata.ratiohistos[i].dividereverse(inputdata.ratiohistos[self.refdata])
+ inputdata.ratiohistos[i].description['ErrorBars']='1'
else:
- inputdata.histos[i].divide(inputdata.histos[self.refdata])
+ inputdata.ratiohistos[i].divide(inputdata.ratiohistos[self.refdata])
if rpmode == 'deviation':
- inputdata.histos[self.refdata].deviation(inputdata.histos[self.refdata])
+ inputdata.ratiohistos[self.refdata].deviation(inputdata.ratiohistos[self.refdata])
+ elif rpmode == 'delta':
+ inputdata.ratiohistos[self.refdata].delta(inputdata.ratiohistos[self.refdata])
+ elif rpmode == 'deltapercent':
+ inputdata.ratiohistos[self.refdata].deltapercent(inputdata.ratiohistos[self.refdata])
elif rpmode == 'datamc':
- inputdata.histos[self.refdata].dividereverse(inputdata.histos[self.refdata])
+ inputdata.ratiohistos[self.refdata].dividereverse(inputdata.ratiohistos[self.refdata])
else:
- inputdata.histos[self.refdata].divide(inputdata.histos[self.refdata])
+ inputdata.ratiohistos[self.refdata].divide(inputdata.ratiohistos[self.refdata])
def _draw(self, inputdata):
out = ""
- ## Draw a white background first
- # TODO: Allow specifying in-frame bg color
- out += '\n'
- out += '\\psframe[linewidth=0pt,linestyle=none,fillstyle=solid,fillcolor=white,dimen=middle](0,0)(1,1)\n'
- out += '\n'
-
- for i in inputdata.description['DrawOnly']:
- if inputdata.description.get('RatioPlotMode', 'mcdata') == 'datamc':
- if i != self.refdata:
- out += inputdata.histos[i].draw(self.coors)
+ frame = Frame(inputdata.description,self.name)
+ out += frame.drawZeroLine(self.coors.phys2frameY(0))
+ out += frame.drawUnitLine(self.coors.phys2frameY(1))
+
+ if inputdata.description.has_key('DrawSpecialFirst') and inputdata.description['DrawSpecialFirst']=='1':
+ for i in inputdata.special.keys():
+ out += inputdata.special[i].draw(self.coors,inputdata)
+ if inputdata.description.has_key('DrawFunctionFirst') and inputdata.description['DrawFunctionFirst']=='1':
+ for i in inputdata.functions.keys():
+ out += inputdata.functions[i].draw(self.coors,inputdata)
+ for i in inputdata.description[self.name+'DrawOnly']:
+ if inputdata.description.has_key(self.name+'Mode') and inputdata.description[self.name+'Mode']=='datamc':
+ if i!=self.refdata:
+ out += inputdata.ratiohistos[i].draw(self.coors)
else:
- out += inputdata.histos[i].draw(self.coors)
-
- frame = Frame()
- out += frame.draw(inputdata)
+ out += inputdata.ratiohistos[i].draw(self.coors)
+ if not inputdata.description.has_key('DrawFunctionFirst') or inputdata.description['DrawFunctionFirst']=='0':
+ for i in inputdata.functions.keys():
+ out += inputdata.functions[i].draw(self.coors,inputdata)
+ if not inputdata.description.has_key('DrawSpecialFirst') or inputdata.description['DrawSpecialFirst']=='0':
+ for i in inputdata.special.keys():
+ out += inputdata.special[i].draw(self.coors,inputdata)
+
+ out += frame.draw()
+
# TODO: so much duplication with MainPlot... yuck!
- if inputdata.description.get('XMajorTickMarks', '') != '':
- xcustommajortickmarks = int(inputdata.description['XMajorTickMarks'])
+ if inputdata.description.has_key('XMajorTickMarks') and inputdata.description['XMajorTickMarks']!='':
+ xcustommajortickmarks=int(inputdata.description['XMajorTickMarks'])
else:
- xcustommajortickmarks = -1
- if inputdata.description.get('XMinorTickMarks', '') != '':
- xcustomminortickmarks = int(inputdata.description['XMinorTickMarks'])
+ xcustommajortickmarks=-1
+ if inputdata.description.has_key('XMinorTickMarks') and inputdata.description['XMinorTickMarks']!='':
+ xcustomminortickmarks=int(inputdata.description['XMinorTickMarks'])
else:
- xcustomminortickmarks =- 1
-
- xcustommajorticks = None
- if 'XCustomMajorTicks' in inputdata.description: # and inputdata.description['XCustomMajorTicks']!='':
- xcustommajorticks = []
- tickstr = inputdata.description['XCustomMajorTicks'].strip().split() #'\t')
- if not len(tickstr) % 2:
- for i in range(0, len(tickstr), 2):
- xcustommajorticks.append({'Value': float(tickstr[i]), 'Label': tickstr[i+1]})
-
- xcustomminorticks = None
- if 'XCustomMinorTicks' in inputdata.description: # and inputdata.description['XCustomMinorTicks']!='':
- xcustomminorticks = []
- tickstr = inputdata.description['XCustomMinorTicks'].strip().split() #'\t')
- for i in range(len(tickstr)):
- xcustomminorticks.append({'Value': float(tickstr[i])})
-
+ xcustomminortickmarks=-1
+ xcustommajorticks=[]
+ xcustomminorticks=[]
+ if inputdata.description.has_key('XCustomMajorTicks') and inputdata.description['XCustomMajorTicks']!='':
+ FOO=inputdata.description['XCustomMajorTicks'].strip().split('\t')
+ if not len(FOO)%2:
+ for i in range(0,len(FOO),2):
+ xcustommajorticks.append({'Value': float(FOO[i]), 'Label': FOO[i+1]})
+ if inputdata.description.has_key('XCustomMinorTicks') and inputdata.description['XCustomMinorTicks']!='':
+ FOO=inputdata.description['XCustomMinorTicks'].strip().split('\t')
+ for i in range(len(FOO)):
+ xcustomminorticks.append({'Value': float(FOO[i])})
xticks = XTicks(inputdata.description, self.coors)
- drawlabels = inputdata.description.get('RatioPlotTickLabels', '1') == '1'
+ # find out whether to draw title (only if no MainPlot and top RatioPlot)
+ drawtitle=False
+ if inputdata.description.has_key('MainPlot') and inputdata.description['MainPlot']=='0':
+ drawtitle=True
+ for i in range(0,self.number):
+ if i==0:
+ if inputdata.description.has_key('RatioPlot') and inputdata.description['RatioPlot']=='1':
+ drawtitle=False
+ else:
+ if inputdata.description.has_key('RatioPlot'+str(i)) and inputdata.description['RatioPlot'+str(i)]=='1':
+ drawtitle=False
+ # find out whether to draw xlabels (only if lowest RatioPlot)
+ drawlabels = True
+ if (inputdata.description.has_key(self.name+'TickLabels') and inputdata.description[self.name+'TickLabels']=='0'):
+ drawlabels=False
+ for i in range(self.number+1,10):
+ if (inputdata.description.has_key('RatioPlot'+str(i)) and inputdata.description['RatioPlot'+str(i)]=='1'):
+ drawlabels=False
out += xticks.draw(custommajortickmarks=xcustommajortickmarks,
customminortickmarks=xcustomminortickmarks,
custommajorticks=xcustommajorticks,
customminorticks=xcustomminorticks,
drawlabels=drawlabels)
ycustommajortickmarks = inputdata.attr('YMajorTickMarks', '')
ycustommajortickmarks = int(ycustommajortickmarks) if ycustommajortickmarks else -1
ycustomminortickmarks = inputdata.attr('YMinorTickMarks', '')
ycustomminortickmarks = int(ycustomminortickmarks) if ycustomminortickmarks else -1
- ycustommajorticks = None
+ ycustommajorticks = []
if 'YCustomMajorTicks' in inputdata.description:
- ycustommajorticks = []
tickstr = inputdata.description['YCustomMajorTicks'].strip().split() #'\t')
if not len(tickstr) % 2:
for i in range(0, len(tickstr), 2):
ycustommajorticks.append({'Value': float(tickstr[i]), 'Label': tickstr[i+1]})
- ycustomminorticks = None
+ ycustomminorticks = []
if 'YCustomMinorTicks' in inputdata.description:
- ycustomminorticks = []
tickstr = inputdata.description['YCustomMinorTicks'].strip().split() #'\t')
for i in range(len(tickstr)):
ycustomminorticks.append({'Value': float(tickstr[i])})
yticks = YTicks(inputdata.description, self.coors)
out += yticks.draw(custommajortickmarks=ycustommajortickmarks,
customminortickmarks=ycustomminortickmarks,
custommajorticks=ycustommajorticks,
customminorticks=ycustomminorticks)
- if not inputdata.attr_bool('MainPlot', True) and inputdata.attr_bool('Legend', False):
- legend = Legend(inputdata.description, inputdata.histos, inputdata.functions)
+ if inputdata.attr_bool(self.name+'Legend', False):
+ legend = Legend(inputdata.description,inputdata.histos,inputdata.functions,self.name+'Legend',1)
out += legend.draw()
+ for i in range(1,10):
+ if inputdata.attr_bool(self.name+'Legend'+str(i), False):
+ legend = Legend(inputdata.description,inputdata.histos,inputdata.functions,self.name+'Legend'+str(i),i)
+ out += legend.draw()
labels = Labels(inputdata.description)
- lnames = ['XLabel','YLabel']
- if not inputdata.attr_bool('MainPlot', True):
- lnames.append("Title")
- out += labels.draw(lnames)
+ if drawtitle:
+ if drawlabels:
+ out += labels.draw(['Title','XLabel','YLabel'])
+ else:
+ out += labels.draw(['Title','YLabel'])
+ else:
+ if drawlabels:
+ out += labels.draw(['XLabel','YLabel'])
+ else:
+ out += labels.draw(['YLabel'])
return out
class Legend(Described):
- def __init__(self, description, histos, functions):
+ def __init__(self, description, histos, functions, name, number):
+ self.name = name
+ self.number = number
self.histos = histos
self.functions = functions
self.description = description
def draw(self):
- out = ""
- out += '\n%\n% Legend\n%\n'
- out += '\\rput[tr](%s,%s){%%\n' % (self.getLegendXPos(), self.getLegendYPos())
- ypos = -0.05*6/self.description['PlotSizeY']
-
legendordermap = {}
legendlist = self.description['DrawOnly'] + list(self.functions.keys())
- if 'LegendOnly' in self.description:
+ if self.name + 'Only' in self.description:
legendlist = []
- for legend in self.description['LegendOnly'].strip().split():
+ for legend in self.description[self.name+'Only'].strip().split():
if legend in self.histos or legend in self.functions:
legendlist.append(legend)
for legend in legendlist:
order = 0
if legend in self.histos and 'LegendOrder' in self.histos[legend].description:
order = int(self.histos[legend].description['LegendOrder'])
if legend in self.functions and 'LegendOrder' in self.functions[legend].description:
order = int(self.functions[legend].description['LegendOrder'])
if not order in legendordermap:
legendordermap[order] = []
legendordermap[order].append(legend)
- foo = []
+
+ orderedlegendlist=[]
for i in sorted(legendordermap.keys()):
- foo.extend(legendordermap[i])
+ orderedlegendlist.extend(legendordermap[i])
+
+ if self.description['is2dim']:
+ return self.draw_2dlegend(orderedlegendlist)
+
+ out = ""
+ out += '\n%\n% Legend\n%\n'
+ out += '\\rput[tr](%s,%s){%%\n' % (self.getLegendXPos(), self.getLegendYPos())
+ ypos = -0.05*6/self.description['PlotSizeY']
+ if self.description.has_key(self.name+'Title'):
+ for i in self.description[self.name+'Title'].strip().split('\\\\'):
+ out += '\\rput[Bl](0.,'+ str(ypos) + '){' + i + '}\n'
+ ypos -= 0.075*6/self.description['PlotSizeY']
+ offset = 0.
+ separation = 0.
+ if self.description.has_key(self.name+'EntryOffset'):
+ offset = float(self.description[self.name+'EntryOffset'])
+ if self.description.has_key(self.name+'EntrySeparation'):
+ separation = float(self.description[self.name+'EntrySeparation'])
+ hline = True
+ vline = True
+ if self.description.has_key(self.name+'HorizontalLine'):
+ hline = self.description[self.name+'HorizontalLine']!='0'
+ if self.description.has_key(self.name+'VerticalLine'):
+ vline = self.description[self.name+'VerticalLine']!='0'
rel_xpos_sign = 1.0
- if self.getLegendAlign() == 'r':
+ if self.getLegendAlign()=='r':
rel_xpos_sign = -1.0
- xpos1 = -0.10*rel_xpos_sign
+ xwidth = self.getLegendIconWidth()
+ xpos1 = -0.02*rel_xpos_sign-0.08*xwidth*rel_xpos_sign
xpos2 = -0.02*rel_xpos_sign
-
- for i in foo:
- if i in self.histos:
- drawobject = self.histos[i]
- elif i in self.functions:
- drawobject = self.functions[i]
+ xposc = -0.02*rel_xpos_sign-0.04*xwidth*rel_xpos_sign
+ xpostext = 0.1*rel_xpos_sign
+
+ for i in orderedlegendlist:
+ if self.histos.has_key(i):
+ drawobject=self.histos[i]
+ elif self.functions.has_key(i):
+ drawobject=self.functions[i]
else:
continue
title = drawobject.getTitle()
if title == '':
continue
else:
- out += ('\\rput[B%s](%s,%s){%s}\n' %(self.getLegendAlign(),rel_xpos_sign*0.1,ypos,title))
+ titlelines=[]
+ for i in title.strip().split('\\\\'):
+ titlelines.append(i)
+ ypos -= 0.075*6/self.description['PlotSizeY']*separation
+ boxtop = 0.045*(6./self.description['PlotSizeY'])
+ boxbottom = 0.
+ lineheight = 0.5*(boxtop-boxbottom)
out += ('\\rput[B%s](%s,%s){%s\n' %(self.getLegendAlign(),rel_xpos_sign*0.1,ypos,'%'))
if drawobject.getErrorBands():
- out += ('\\psframe[linewidth=0pt,linestyle=none,fillstyle=solid,fillcolor=%s,opacity=%s]' %(drawobject.getErrorBandColor(),drawobject.getErrorBandOpacity()))
- out += ('(%s, 0.033)(%s, 0.001)\n' %(xpos1, xpos2))
- out += ('\\psline[linestyle=' + drawobject.getLineStyle() \
+ out += ('\\psframe[linewidth=0pt,linestyle=none,fillstyle=%s,fillcolor=%s,opacity=%s,hatchcolor=%s]' %(drawobject.getErrorBandStyle(),drawobject.getErrorBandColor(),drawobject.getErrorBandOpacity(),drawobject.getHatchColor()))
+ out += ('(%s, %s)(%s, %s)\n' %(xpos1,boxtop,xpos2,boxbottom))
+ # set psline options for all lines to be drawn next
+ lineopts = ('linestyle=' + drawobject.getLineStyle() \
+ ', linecolor=' + drawobject.getLineColor() \
+ ', linewidth=' + drawobject.getLineWidth() \
+ ', strokeopacity=' + drawobject.getLineOpacity() \
+ ', opacity=' + drawobject.getFillOpacity())
- if drawobject.getLineDash() != '':
- out += (', dash=' + drawobject.getLineDash())
+ if drawobject.getLineDash()!='':
+ lineopts += (', dash=' + drawobject.getLineDash())
if drawobject.getFillStyle()!='none':
- out += (', fillstyle=' + drawobject.getFillStyle() \
- + ', fillcolor=' + drawobject.getFillColor() \
- + ', hatchcolor=' + drawobject.getHatchColor() \
- + ']{C-C}(%s, 0.030)(%s, 0.030)(%s, 0.004)(%s, 0.004)(%s, 0.030)\n' \
- %(xpos1, xpos2, xpos2, xpos1, xpos1))
- else:
- out += ('](%s, 0.016)(%s, 0.016)\n' %(xpos1, xpos2))
+ lineopts += (', fillstyle=' + drawobject.getFillStyle() \
+ + ', fillcolor=' + drawobject.getFillColor() \
+ + ', hatchcolor=' + drawobject.getHatchColor())
+ # options set -> lineopts
+ if drawobject.getErrorBars() and vline:
+ out += (' \\psline[' + lineopts + '](%s, %s)(%s, %s)\n') \
+ %(xposc, boxtop, xposc, boxbottom)
+ if drawobject.getErrorTubes():
+ tubeopts = ('linestyle=' + drawobject.getErrorTubeLineStyle() \
+ + ', linecolor=' + drawobject.getErrorTubeLineColor() \
+ + ', linewidth=' + drawobject.getErrorTubeLineWidth() \
+ + ', strokeopacity=' + drawobject.getErrorTubeLineOpacity() \
+ + ', opacity=' + drawobject.getFillOpacity())
+ out += (' \\psline[' + tubeopts + '](%s, %s)(%s, %s)\n') \
+ %(xpos1, boxtop, xpos2, boxtop)
+ out += (' \\psline[' + tubeopts + '](%s, %s)(%s, %s)\n') \
+ %(xpos1, boxbottom, xpos2, boxbottom)
+ if hline:
+ out += (' \\psline[' + lineopts )
+ if drawobject.getFillStyle()!='none':
+ out += (']{C-C}(%s, %s)(%s, %s)(%s, %s)(%s, %s)(%s, %s)\n' \
+ %(xpos1, boxtop, xpos2, boxtop, xpos2, boxbottom, xpos1, boxbottom, xpos1, boxtop))
+ else:
+ out += ('](%s, %s)(%s, %s)\n' %(xpos1, lineheight, xpos2, lineheight))
+
if drawobject.getPolyMarker() != '':
out += (' \\psdot[dotstyle=' + drawobject.getPolyMarker() \
+ ', dotsize=' + drawobject.getDotSize() \
+ ', dotscale=' + drawobject.getDotScale() \
+ ', linecolor=' + drawobject.getLineColor() \
+ ', linewidth=' + drawobject.getLineWidth() \
+ ', linestyle=' + drawobject.getLineStyle() \
+ ', fillstyle=' + drawobject.getFillStyle() \
+ ', fillcolor=' + drawobject.getFillColor() \
+ ', strokeopacity=' + drawobject.getLineOpacity() \
+ ', opacity=' + drawobject.getFillOpacity() \
+ ', hatchcolor=' + drawobject.getHatchColor())
if drawobject.getFillStyle()!='none':
- out += ('](%s, 0.028)\n' % (rel_xpos_sign*-0.06))
+ out += ('](%s, %s)\n' % (xposc, 0.95*boxtop))
else:
- out += ('](%s, 0.016)\n' % (rel_xpos_sign*-0.06))
+ out += ('](%s, %s)\n' % (xposc, lineheight))
out += ('}\n')
- ypos -= 0.075*6/self.description['PlotSizeY']
+ ypos -= 0.075*6/self.description['PlotSizeY']*offset
+ for i in titlelines:
+ out += ('\\rput[B%s](%s,%s){%s}\n' %(self.getLegendAlign(),xpostext,ypos,i))
+ ypos -= 0.075*6/self.description['PlotSizeY']
if 'CustomLegend' in self.description:
for i in self.description['CustomLegend'].strip().split('\\\\'):
- out += ('\\rput[B%s](%s,%s){%s}\n' %(self.getLegendAlign(),rel_xpos_sign*0.1,ypos,i))
+ out += ('\\rput[B%s](%s,%s){%s}\n' %(self.getLegendAlign(),xpostext,ypos,i))
ypos -= 0.075*6/self.description['PlotSizeY']
out += ('}\n')
return out
+ def draw_2dlegend(self,orderedlegendlist):
+ histos = ""
+ for i in range(0,len(orderedlegendlist)):
+ if self.histos.has_key(orderedlegendlist[i]):
+ drawobject=self.histos[orderedlegendlist[i]]
+ elif self.functions.has_key(orderedlegendlist[i]):
+ drawobject=self.functions[orderedlegendlist[i]]
+ else:
+ continue
+ title = drawobject.getTitle()
+ if title == '':
+ continue
+ else:
+ histos += title.strip().split('\\\\')[0]
+ if not i==len(orderedlegendlist)-1:
+ histos += ', '
+ out = '\\rput(1,1){\\rput[rB](0, 1.7\\labelsep){\\normalsize '+histos+'}}\n'
+ return out
+
+
def getLegendXPos(self):
- return self.description.get('LegendXPos', '0.95' if self.getLegendAlign() == 'r' else '0.53')
+ return self.description.get(self.name+'XPos', '0.95' if self.getLegendAlign() == 'r' else '0.53')
def getLegendYPos(self):
- return self.description.get('LegendYPos', '0.93')
+ return self.description.get(self.name+'YPos', '0.93')
def getLegendAlign(self):
- return self.description.get('LegendAlign', 'l')
+ return self.description.get(self.name+'Align', 'l')
+
+ def getLegendIconWidth(self):
+ return float(self.description.get(self.name+'IconWidth', '1.0'))
+
+
+class PlotFunction:
+ def __init__(self, f):
+ self.description = {}
+ self.read_input(f)
+
+ def read_input(self, f):
+ self.code='def histomangler(x):\n'
+ iscode=False
+ for line in f:
+ if is_end_marker(line, 'HISTOGRAMMANGLER'):
+ break
+ elif is_comment(line):
+ continue
+ else:
+ m = pat_property.match(line)
+ if iscode:
+ self.code+=' '+line
+ elif m:
+ prop, value = m.group(1,2)
+ if prop=='Code':
+ iscode=True
+ else:
+ self.description[prop] = value
+ if not iscode:
+ print('++++++++++ ERROR: No code in function')
+ else:
+ foo = compile(self.code, '<string>', 'exec')
+ exec(foo)
+ self.histomangler = histomangler
+
+ def transform(self, x):
+ return self.histomangler(x)
class ColorScale(Described):
def __init__(self, description, coors):
self.description = description
self.coors = coors
def draw(self):
out = ''
out += '\n%\n% ColorScale\n%\n'
out += '\\rput(1,0){\n'
out += ' \\psset{xunit=4mm}\n'
out += ' \\rput(0.5,0){\n'
out += ' \\psset{yunit=0.0076923, linestyle=none, fillstyle=solid}\n'
out += ' \\multido{\\ic=0+1,\\id=1+1}{130}{\n'
out += ' \\psframe[fillcolor={gradientcolors!![\\ic]},dimen=inner,linewidth=0.1pt](0, \\ic)(1, \\id)\n'
out += ' }\n'
out += ' }\n'
out += ' \\rput(0.5,0){\n'
out += ' \\psframe[linewidth=0.3pt,dimen=middle](0,0)(1,1)\n'
zcustommajortickmarks = self.attr_int('ZMajorTickMarks', -1)
zcustomminortickmarks = self.attr_int('ZMinorTickMarks', -1)
zcustommajorticks = zcustomminorticks = None
if self.attr('ZCustomMajorTicks'):
zcustommajorticks = []
z_label_pairs = self.attr('ZCustomMajorTicks').strip().split() #'\t')
if len(z_label_pairs) % 2 == 0:
for i in range(0, len(z_label_pairs), 2):
zcustommajorticks.append({'Value': float(x_label_pairs[i]), 'Label': x_label_pairs[i+1]})
else:
print("Warning: ZCustomMajorTicks requires an even number of alternating pos/label entries")
if self.attr('ZCustomMinorTicks'):
zs = self.attr('ZCustomMinorTicks').strip().split() #'\t')
zcustomminorticks = [{'Value': float(x)} for x in xs]
drawzlabels = self.attr_bool('PlotZTickLabels', True)
zticks = ZTicks(self.description, self.coors)
out += zticks.draw(custommajortickmarks=zcustommajortickmarks,\
customminortickmarks=zcustomminortickmarks,\
custommajorticks=zcustommajorticks,\
customminorticks=zcustomminorticks,
drawlabels=drawzlabels)
out += ' }\n'
out += '}\n'
return out
class Labels(Described):
def __init__(self, description):
self.description = description
def draw(self, axis=[]):
out = ""
out += ('\n%\n% Labels\n%\n')
if 'Title' in self.description and (axis.count('Title') or axis==[]):
out += ('\\rput(0,1){\\rput[lB](0, 1.7\\labelsep){\\normalsize '+self.description['Title']+'}}\n')
if 'XLabel' in self.description and (axis.count('XLabel') or axis==[]):
xlabelsep = 4.7
if 'XLabelSep' in self.description:
xlabelsep=float(self.description['XLabelSep'])
out += ('\\rput(1,0){\\rput[rB](0,-%4.3f\\labelsep){\\normalsize '%(xlabelsep) +self.description['XLabel']+'}}\n')
if 'YLabel' in self.description and (axis.count('YLabel') or axis==[]):
ylabelsep = 6.5
if 'YLabelSep' in self.description:
ylabelsep=float(self.description['YLabelSep'])
out += ('\\rput(0,1){\\rput[rB]{90}(-%4.3f\\labelsep,0){\\normalsize '%(ylabelsep) +self.description['YLabel']+'}}\n')
if 'ZLabel' in self.description and (axis.count('ZLabel') or axis==[]):
- zlabelsep = 5.3
+ zlabelsep = 6.5
if 'ZLabelSep' in self.description:
zlabelsep=float(self.description['ZLabelSep'])
out += ('\\rput(1,1){\\rput(%4.3f\\labelsep,0){\\psset{xunit=4mm}\\rput[lB]{270}(1.5,0){\\normalsize '%(zlabelsep) +self.description['ZLabel']+'}}}\n')
return out
class Special(Described):
def __init__(self, f):
self.description = {}
self.data = []
self.read_input(f)
+ if not self.description.has_key('Location'):
+ self.description['Location']='MainPlot'
+ self.description['Location']=self.description['Location'].split('\t')
def read_input(self, f):
for line in f:
if is_end_marker(line, 'SPECIAL'):
break
elif is_comment(line):
continue
else:
- self.data.append(line)
-
- def draw(self, coors):
+ line = line.rstrip()
+ m = pat_property.match(line)
+ if m:
+ prop, value = m.group(1,2)
+ self.description[prop] = value
+ else:
+ self.data.append(line)
+
+ def draw(self, coors, inputdata):
+ drawme = False
+ for i in self.description['Location']:
+ if i in inputdata.description['PlotStage']:
+ drawme = True
+ break
+ if not drawme:
+ return ""
out = ""
out += ('\n%\n% Special\n%\n')
import re
regex = re.compile(r'^(.*?)(\\physics[xy]?coor)\(\s?([0-9\.eE+-]+)\s?,\s?([0-9\.eE+-]+)\s?\)(.*)')
# TODO: More precise number string matching, something like this:
# num = r"-?[0-9]*(?:\.[0-9]*)(?:[eE][+-]?\d+]"
# regex = re.compile(r'^(.*?)(\\physics[xy]?coor)\(\s?(' + num + ')\s?,\s?(' + num + ')\s?\)(.*)')
for l in self.data:
while regex.search(l):
match = regex.search(l)
xcoor, ycoor = float(match.group(3)), float(match.group(4))
if match.group(2)[1:] in ["physicscoor", "physicsxcoor"]:
xcoor = coors.phys2frameX(xcoor)
if match.group(2)[1:] in ["physicscoor", "physicsycoor"]:
ycoor = coors.phys2frameY(ycoor)
line = "%s(%f, %f)%s" % (match.group(1), xcoor, ycoor, match.group(5))
l = line
out += l + "\n"
return out
class DrawableObject(Described):
def __init__(self, f):
pass
+ def getName(self):
+ return self.description.get("Name", "")
+
def getTitle(self):
return self.description.get("Title", "")
def getLineStyle(self):
if 'LineStyle' in self.description:
## I normally like there to be "only one way to do it", but providing
## this dashdotted/dotdashed synonym just seems humane ;-)
if self.description['LineStyle'] in ('dashdotted', 'dotdashed'):
self.description['LineStyle']='dashed'
self.description['LineDash']='3pt 3pt .8pt 3pt'
return self.description['LineStyle']
else:
return 'solid'
def getLineDash(self):
if 'LineDash' in self.description:
# Check if LineStyle=='dashdotted' before returning something
self.getLineStyle()
return self.description['LineDash']
else:
return ''
def getLineWidth(self):
return self.description.get("LineWidth", "0.8pt")
def getLineColor(self):
return self.description.get("LineColor", "black")
def getLineOpacity(self):
return self.description.get("LineOpacity", "1.0")
def getFillColor(self):
return self.description.get("FillColor", "white")
def getFillOpacity(self):
return self.description.get("FillOpacity", "1.0")
def getHatchColor(self):
- return self.description.get("HatchColor", "black")
+ return self.description.get("HatchColor", self.getErrorBandColor())
def getFillStyle(self):
return self.description.get("FillStyle", "none")
def getPolyMarker(self):
return self.description.get("PolyMarker", "")
def getDotSize(self):
return self.description.get("DotSize", "2pt 2")
def getDotScale(self):
return self.description.get("DotScale", "1")
def getErrorBars(self):
return bool(int(self.description.get("ErrorBars", "0")))
def getErrorBands(self):
return bool(int(self.description.get("ErrorBands", "0")))
def getErrorBandColor(self):
return self.description.get("ErrorBandColor", "yellow")
+ def getErrorBandStyle(self):
+ return self.description.get("ErrorBandStyle", "solid")
+
def getErrorBandOpacity(self):
return self.description.get("ErrorBandOpacity", "1.0")
+ def getErrorTubes(self):
+ if self.description.has_key('ErrorTubes'):
+ return bool(int(self.description['ErrorTubes']))
+ else:
+ return False
+
+ def getErrorTubeLineStyle(self):
+ if self.description.has_key('ErrorTubeLineStyle'):
+ if self.description['ErrorTubeLineStyle'] in ('dashdotted', 'dotdashed'):
+ self.description['ErrorTubeLineStyle']='dashed'
+ self.description['ErrorTubeLineDash']='3pt 3pt .8pt 3pt'
+ return self.description['ErrorTubeLineStyle']
+ else:
+ return self.getLineStyle()
+
+ def getErrorTubeLineColor(self):
+ if self.description.has_key('ErrorTubeLineColor'):
+ return self.description['ErrorTubeLineColor']
+ else:
+ return self.getLineColor()
+
+ def getErrorTubeLineDash(self):
+ if self.description.has_key('ErrorTubeLineDash'):
+ return self.description['ErrorTubeLineDash']
+ else:
+ return self.getLineDash()
+
+ def getErrorTubeLineWidth(self):
+ if self.description.has_key('ErrorTubeLineWidth'):
+ return self.description['ErrorTubeLineWidth']
+ else:
+ return '0.3pt'
+
+ def getErrorTubeLineOpacity(self):
+ if self.description.has_key('ErrorTubeLineOpacity'):
+ return self.description['ErrorTubeLineOpacity']
+ else:
+ return self.getLineOpacity()
+
def getSmoothLine(self):
return bool(int(self.description.get("SmoothLine", "0")))
def startclip(self):
return '\\psclip{\\psframe[linewidth=0, linestyle=none](0,0)(1,1)}\n'
def stopclip(self):
return '\\endpsclip\n'
def startpsset(self):
out = ""
out += ('\\psset{linecolor='+self.getLineColor()+'}\n')
out += ('\\psset{linewidth='+self.getLineWidth()+'}\n')
out += ('\\psset{linestyle='+self.getLineStyle()+'}\n')
out += ('\\psset{fillstyle='+self.getFillStyle()+'}\n')
out += ('\\psset{fillcolor='+self.getFillColor()+'}\n')
out += ('\\psset{hatchcolor='+self.getHatchColor()+'}\n')
out += ('\\psset{strokeopacity='+self.getLineOpacity()+'}\n')
out += ('\\psset{opacity='+self.getFillOpacity()+'}\n')
if self.getLineDash()!='':
out += ('\\psset{dash='+self.getLineDash()+'}\n')
return out
def stoppsset(self):
out = ""
out += ('\\psset{linecolor=black}\n')
out += ('\\psset{linewidth=0.8pt}\n')
out += ('\\psset{linestyle=solid}\n')
out += ('\\psset{fillstyle=none}\n')
out += ('\\psset{fillcolor=white}\n')
out += ('\\psset{hatchcolor=black}\n')
out += ('\\psset{strokeopacity=1.0}\n')
out += ('\\psset{opacity=1.0}\n')
return out
-class Function(DrawableObject, Described):
+class Function(DrawableObject):
def __init__(self, f):
self.description = {}
self.read_input(f)
+ if not self.description.has_key('Location'):
+ self.description['Location']='MainPlot'
+ self.description['Location']=self.description['Location'].split('\t')
def read_input(self, f):
self.code='def plotfunction(x):\n'
iscode=False
for line in f:
if is_end_marker(line, 'FUNCTION'):
break
elif is_comment(line):
continue
else:
m = pat_property.match(line)
if iscode:
self.code+=' '+line
elif m:
prop, value = m.group(1,2)
if prop=='Code':
iscode=True
else:
self.description[prop] = value
if not iscode:
print('++++++++++ ERROR: No code in function')
else:
foo = compile(self.code, '<string>', 'exec')
exec(foo)
self.plotfunction = plotfunction
- def draw(self,coors):
+ def draw(self,coors,inputdata):
+ drawme = False
+ for i in self.description['Location']:
+ if i in inputdata.description['PlotStage']:
+ drawme = True
+ break
+ if not drawme:
+ return ""
out = ""
out += self.startclip()
out += self.startpsset()
xmin = coors.xmin()
if 'XMin' in self.description and self.description['XMin']:
xmin = float(self.description['XMin'])
+ if self.description.has_key('FunctionXMin') and self.description['FunctionXMin']:
+ xmin = max(xmin,float(self.description['FunctionXMin']))
xmax=coors.xmax()
if 'XMax' in self.description and self.description['XMax']:
xmax=float(self.description['XMax'])
+ if self.description.has_key('FunctionXMax') and self.description['FunctionXMax']:
+ xmax = min(xmax,float(self.description['FunctionXMax']))
+ xmin=min(xmin,xmax)
+ xmax=max(xmin,xmax)
# TODO: Space sample points logarithmically if LogX=1
- dx = (xmax-xmin)/500.
+ xsteps=500.
+ if self.description.has_key('XSteps') and self.description['XSteps']:
+ xsteps=float(self.description['XSteps'])
+ dx = (xmax-xmin)/xsteps
x = xmin-dx
- out += '\\pscurve'
+ funcstyle = '\\pscurve'
+ if self.description.has_key('FunctionStyle') and self.description['FunctionStyle']:
+ if (self.description['FunctionStyle']=='curve'):
+ funcstyle = '\\pscurve'
+ elif (self.description['FunctionStyle']=='line'):
+ funcstyle = '\\psline'
+ out += funcstyle
if 'FillStyle' in self.description and self.description['FillStyle']!='none':
out += '(%s,%s)\n' % (coors.strphys2frameX(xmin),coors.strphys2frameY(coors.ymin()))
while x < (xmax+2*dx):
y = self.plotfunction(x)
out += ('(%s,%s)\n' % (coors.strphys2frameX(x), coors.strphys2frameY(y)))
x += dx
if 'FillStyle' in self.description and self.description['FillStyle']!='none':
out += '(%s,%s)\n' % (coors.strphys2frameX(xmax),coors.strphys2frameY(coors.ymin()))
out += self.stoppsset()
out += self.stopclip()
return out
class BinData(object):
"""\
Store bin edge and value+error(s) data for a 1D or 2D bin.
TODO: generalise/alias the attr names to avoid mention of x and y
"""
def __init__(self, low, high, val, err):
#print("@", low, high, val, err)
self.low = floatify(low)
self.high = floatify(high)
self.val = float(val)
self.err = floatpair(err)
@property
def is2D(self):
return hasattr(self.low, "__len__") and hasattr(self.high, "__len__")
@property
def isValid(self):
invalid_val = (isnan(self.val) or isnan(self.err[0]) or isnan(self.err[1]))
if invalid_val:
return False
if self.is2D:
invalid_low = any(isnan(x) for x in self.low)
invalid_high = any(isnan(x) for x in self.high)
else:
invalid_low, invalid_high = isnan(self.low), isnan(self.high)
return not (invalid_low or invalid_high)
@property
def xmin(self):
return self.low
@xmin.setter
def xmin(self,x):
self.low = x
@property
def xmax(self):
return self.high
@xmax.setter
def xmax(self,x):
self.high = x
@property
def xmid(self):
# TODO: Generalise to 2D
return (self.xmin + self.xmax) / 2.0
@property
def xwidth(self):
# TODO: Generalise to 2D
assert self.xmin <= self.xmax
return self.xmax - self.xmin
@property
def y(self):
return self.val
@y.setter
def y(self, x):
self.val = x
@property
def ey(self):
return self.err
@ey.setter
def ey(self, x):
self.err = x
@property
def ymin(self):
return self.y - self.ey[0]
@property
def ymax(self):
return self.y + self.ey[1]
def __getitem__(self, key):
"dict-like access for backward compatibility"
if key in ("LowEdge"):
return self.xmin
elif key == ("UpEdge", "HighEdge"):
return self.xmax
elif key == "Content":
return self.y
elif key == "Errors":
return self.ey
class Histogram(DrawableObject, Described):
def __init__(self, f, p=None):
self.description = {}
self.is2dim = False
self.data = []
self.read_input_data(f)
self.sigmabinvalue = None
self.meanbinvalue = None
self.path = p
def read_input_data(self, f):
for line in f:
if is_end_marker(line, 'HISTOGRAM'):
break
elif is_comment(line):
continue
else:
line = line.rstrip()
m = pat_property.match(line)
if m:
prop, value = m.group(1,2)
self.description[prop] = value
else:
## Detect symm errs
linearray = line.split()
if len(linearray) == 4:
self.data.append(BinData(*linearray))
## Detect asymm errs
elif len(linearray) == 5:
self.data.append(BinData(linearray[0], linearray[1], linearray[2], [linearray[3],linearray[4]]))
## Detect two-dimensionality
elif len(linearray) in [6,7]:
self.is2dim = True
# If asymm z error, use the max or average of +- error
err = float(linearray[5])
if len(linearray) == 7:
if self.description.get("ShowMaxZErr", 1):
err = max(err, float(linearray[6]))
else:
err = 0.5 * (err + float(linearray[6]))
self.data.append(BinData([linearray[0], linearray[2]], [linearray[1], linearray[3]], linearray[4], err))
## Unknown histo format
else:
raise RuntimeError("Unknown HISTOGRAM data line format with %d entries" % len(linearray))
def mangle_input(self):
norm2int = self.attr_bool("NormalizeToIntegral", False)
norm2sum = self.attr_bool("NormalizeToSum", False)
if norm2int or norm2sum:
if norm2int and norm2sum:
print("Can't normalize to Integral and to Sum at the same time. Will normalize to the sum.")
foo = 0.0
# TODO: change to "in self.data"?
for i in range(len(self.data)):
if norm2sum:
foo += self.data[i].val
else:
foo += self.data[i].val*(self.data[i].xmax-self.data[i].xmin)
# TODO: change to "in self.data"?
if foo != 0:
for i in range(len(self.data)):
self.data[i].val /= foo
self.data[i].err[0] /= foo
self.data[i].err[1] /= foo
scale = self.attr_float('Scale', 1.0)
if scale != 1.0:
# TODO: change to "in self.data"?
for i in range(len(self.data)):
self.data[i].val *= scale
self.data[i].err[0] *= scale
self.data[i].err[1] *= scale
- if self.attr_int("Rebin", 1) > 1:
- rebin = self.attr_int("Rebin", 1)
+ if self.attr_float("ScaleError", 0.0):
+ scale = float(self.attr_float("ScaleError"))
+ for i in range(len(self.data)):
+ self.data[i]['Error'][0] *= scale
+ self.data[i]['Error'][1] *= scale
+ if self.attr_float('Shift', 0.0):
+ shift = float(self.attr_float("Shift"))
+ for i in range(len(self.data)):
+ self.data[i]['Content'] += shift
+ #if self.description.has_key('Rebin') and self.description['Rebin']!='':
+ if self.has_attr('Rebin') and self.attr('Rebin') != '':
+ rawrebins = self.attr('Rebin').strip().split('\t')
+ rebins = []
+ maxindex = len(self.data)-1
+ if len(rawrebins)%2==1:
+ rebins.append({'Start': self.data[0].xmin,
+ 'Rebin': int(rawrebins[0])})
+ rawrebins.pop(0)
+ for i in range(0,len(rawrebins),2):
+ if float(rawrebins[i])<self.data[maxindex].xmin:
+ rebins.append({'Start': float(rawrebins[i]),
+ 'Rebin': int(rawrebins[i+1])})
+ if (rebins[0]['Start'] > self.data[0].xmin):
+ rebins.insert(0,{'Start': self.data[0].xmin,
+ 'Rebin': 1})
errortype = self.attr("ErrorType", "stat")
- newdata = []
- for i in range(0, (len(self.data)//rebin)*rebin, rebin):
- foo = 0.
- barl = 0.
- baru = 0.
- for j in range(rebin):
- binwidth = self.data[i+j].xwidth
- foo += self.data[i+j].val * binwidth
- if errortype == "stat":
- barl += (binwidth * self.data[i+j].err[0])**2
- baru += (binwidth * self.data[i+j].err[1])**2
- elif errortype == "env":
- barl += self.data[i+j].ymin * binwidth
- baru += self.data[i+j].ymax * binwidth
- else:
- logging.error("Rebinning for ErrorType not implemented.")
- sys.exit(1)
- newbinwidth = self.data[i+rebin-1].xmax - self.data[i].xmin
- newcentral = foo/newbinwidth
- if errortype == "stat":
- newerror = [sqrt(barl)/newbinwidth, sqrt(baru)/newbinwidth]
- elif errortype == "env":
- newerror = [(foo-barl)/newbinwidth, (baru-foo)/newbinwidth]
- newdata.append(BinData(self.data[i].xmin, self.data[i+rebin-1].xmax, newcentral, newerror))
- self.data = newdata
+ newdata=[]
+ lower = self.getBin(rebins[0]['Start'])
+ for k in range(0,len(rebins),1):
+ rebin = rebins[k]['Rebin']
+ upper = maxindex
+ end = 1
+ if (k<len(rebins)-1):
+ upper = self.getBin(rebins[k+1]['Start'])
+ end = 0
+ for i in range(lower,(upper/rebin)*rebin+end,rebin):
+ foo=0.
+ barl=0.
+ baru=0.
+ for j in range(rebin):
+ if i+j>maxindex:
+ break
+ binwidth = self.data[i+j].xwidth
+ foo += self.data[i+j].val * binwidth
+ if errortype=="stat":
+ barl += (binwidth * self.data[i+j].err[0])**2
+ baru += (binwidth * self.data[i+j].err[1])**2
+ elif errortype == "env":
+ barl += self.data[i+j].ymin * binwidth
+ baru += self.data[i+j].ymax * binwidth
+ else:
+ logging.error("Rebinning for ErrorType not implemented.")
+ sys.exit(1)
+ upedge = min(i+rebin-1,maxindex)
+ newbinwidth=self.data[upedge].xmax-self.data[i].xmin
+ newcentral=foo/newbinwidth
+ if errortype=="stat":
+ newerror=[sqrt(barl)/newbinwidth,sqrt(baru)/newbinwidth]
+ elif errortype=="env":
+ newerror=[(foo-barl)/newbinwidth,(baru-foo)/newbinwidth]
+ newdata.append(BinData(self.data[i].xmin, self.data[i+rebin-1].xmax, newcentral, newerror))
+ lower = (upper/rebin)*rebin+(upper%rebin)
+ self.data=newdata
def add(self, name):
if len(self.data) != len(name.data):
print('+++ Error in Histogram.add() for %s: different numbers of bins' % self.path)
for i in range(len(self.data)):
if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
fuzzyeq(self.data[i].xmax, name.data[i].xmax):
self.data[i].val += name.data[i].val
self.data[i].err[0] = sqrt(self.data[i].err[0]**2 + name.data[i].err[0]**2)
self.data[i].err[1] = sqrt(self.data[i].err[1]**2 + name.data[i].err[1]**2)
else:
print('+++ Error in Histogram.add() for %s: binning of histograms differs' % self.path)
def divide(self, name):
#print(name.path, self.path)
if len(self.data) != len(name.data):
print('+++ Error in Histogram.divide() for %s: different numbers of bins' % self.path)
for i in range(len(self.data)):
if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
fuzzyeq(self.data[i].xmax, name.data[i].xmax):
try:
self.data[i].err[0] /= name.data[i].val
except ZeroDivisionError:
self.data[i].err[0]=0.
try:
self.data[i].err[1] /= name.data[i].val
except ZeroDivisionError:
self.data[i].err[1]=0.
try:
self.data[i].val /= name.data[i].val
except ZeroDivisionError:
self.data[i].val=1.
# self.data[i].err[0] = sqrt(self.data[i].err[0]**2 + name.data[i].err[0]**2)
# self.data[i].err[1] = sqrt(self.data[i].err[1]**2 + name.data[i].err[1]**2)
else:
print('+++ Error in Histogram.divide() for %s: binning of histograms differs' % self.path)
def dividereverse(self, name):
if len(self.data) != len(name.data):
print('+++ Error in Histogram.dividereverse() for %s: different numbers of bins' % self.path)
for i in range(len(self.data)):
if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
fuzzyeq(self.data[i].xmax, name.data[i].xmax):
try:
self.data[i].err[0] = name.data[i].err[0]/self.data[i].val
except ZeroDivisionError:
self.data[i].err[0]=0.
try:
self.data[i].err[1] = name.data[i].err[1]/self.data[i].val
except ZeroDivisionError:
self.data[i].err[1]=0.
try:
self.data[i].val = name.data[i].val/self.data[i].val
except ZeroDivisionError:
self.data[i].val=1.
else:
print('+++ Error in Histogram.dividereverse(): binning of histograms differs')
def deviation(self, name):
if len(self.data) != len(name.data):
print('+++ Error in Histogram.deviation() for %s: different numbers of bins' % self.path)
for i in range(len(self.data)):
if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
fuzzyeq(self.data[i].xmax, name.data[i].xmax):
self.data[i].val -= name.data[i].val
try:
self.data[i].val /= 0.5*sqrt((name.data[i].err[0] + name.data[i].err[1])**2 + \
(self.data[i].err[0] + self.data[i].err[1])**2)
except ZeroDivisionError:
self.data[i].val = 0.0
try:
self.data[i].err[0] /= name.data[i].err[0]
except ZeroDivisionError:
self.data[i].err[0] = 0.0
try:
self.data[i].err[1] /= name.data[i].err[1]
except ZeroDivisionError:
self.data[i].err[1] = 0.0
else:
print('+++ Error in Histogram.deviation() for %s: binning of histograms differs' % self.path)
+ def delta(self,name):
+ self.divide(name)
+ for i in range(len(self.data)):
+ self.data[i]['Content'] -= 1.
+
+ def deltapercent(self,name):
+ self.delta(name)
+ for i in range(len(self.data)):
+ self.data[i]['Content'] *= 100.
+ self.data[i]['Error'][0] *= 100.
+ self.data[i]['Error'][1] *= 100.
+
+ def getBin(self,x):
+ if x<self.data[0].xmin or \
+ x>self.data[len(self.data)-1].xmax:
+ print('+++ Error in Histogram.getBin(): x out of range')
+ return float('nan')
+ for i in range(1,len(self.data)-1,1):
+ if x<self.data[i].xmin:
+ return i-1
+ return len(self.data)-1
+
def getChi2(self, name):
chi2 = 0.
for i in range(len(self.data)):
if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
fuzzyeq(self.data[i].xmax, name.data[i].xmax):
try:
chi2 += (self.data[i].val-name.data[i].val)**2/((0.5*self.data[i].err[0]+0.5*self.data[i].err[1])**2 + (0.5*name.data[i].err[0]+0.5*name.data[i].err[1])**2)
except ZeroDivisionError:
pass
else:
print('+++ Error in Histogram.getChi2() for %s: binning of histograms differs' % self.path)
return chi2/len(self.data)
def getSigmaBinValue(self):
if self.sigmabinvalue==None:
self.sigmabinvalue = 0.
sumofweights = 0.
for i in range(len(self.data)):
if self.is2dim:
binwidth = abs( (self.data[i].xmax[0] - self.data[i].xmin[0])
*(self.data[i].xmax[1] - self.data[i].xmin[1]))
else:
binwidth = abs(self.data[i].xmax - self.data[i].xmin)
self.sigmabinvalue += binwidth*(self.data[i].val-self.getMeanBinValue())**2
sumofweights += binwidth
self.sigmabinvalue = sqrt(self.sigmabinvalue/sumofweights)
return self.sigmabinvalue
def getMeanBinValue(self):
if self.meanbinvalue==None:
self.meanbinvalue = 0.
sumofweights = 0.
for i in range(len(self.data)):
if self.is2dim:
binwidth = abs( (self.data[i].xmax[0] - self.data[i].xmin[0])
*(self.data[i].xmax[1] - self.data[i].xmin[1]))
else:
binwidth = abs(self.data[i].xmax - self.data[i].xmin)
self.meanbinvalue += binwidth*self.data[i].val
sumofweights += binwidth
self.meanbinvalue /= sumofweights
return self.meanbinvalue
def getCorrelation(self, name):
correlation = 0.
sumofweights = 0.
for i in range(len(self.data)):
if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
fuzzyeq(self.data[i].xmax, name.data[i].xmax):
if self.is2dim:
binwidth = abs( (self.data[i].xmax[0] - self.data[i].xmin[0])
* (self.data[i].xmax[1] - self.data[i].xmin[1]) )
else:
binwidth = abs(self.data[i].xmax - self.data[i].xmin)
correlation += binwidth * ( self.data[i].val - self.getMeanBinValue() ) \
* ( name.data[i].val - name.getMeanBinValue() )
sumofweights += binwidth
else:
print('+++ Error in Histogram.getCorrelation(): binning of histograms differs' % self.path)
correlation /= sumofweights
try:
correlation /= self.getSigmaBinValue()*name.getSigmaBinValue()
except ZeroDivisionError:
correlation = 0
return correlation
def getRMSdistance(self,name):
distance = 0.
sumofweights = 0.
for i in range(len(self.data)):
if fuzzyeq(self.data[i].xmin, name.data[i].xmin) and \
fuzzyeq(self.data[i].xmax, name.data[i].xmax):
if self.is2dim:
binwidth = abs( (self.data[i].xmax[0] - self.data[i].xmin[0])
* (self.data[i].xmax[1] - self.data[i].xmin[1]) )
else:
binwidth = abs(self.data[i].xmax - self.data[i].xmin)
distance += binwidth * ( (self.data[i].val - self.getMeanBinValue())
-(name.data[i].val - name.getMeanBinValue()))**2
sumofweights += binwidth
else:
print('+++ Error in Histogram.getRMSdistance() for %s: binning of histograms differs' % self.path)
distance = sqrt(distance/sumofweights)
return distance
def draw(self,coors):
seen_nan = False
out = ""
out += self.startclip()
out += self.startpsset()
if any(b.isValid for b in self.data):
out += "% START DATA\n"
if self.is2dim:
for b in self.data:
out += ('\\psframe')
color = int(129*coors.phys2frameZ(b.val))
if b.val > coors.zmax():
color = 129
if b.val < coors.zmin():
color = 0
if b.val <= coors.zmin():
out += ('[linewidth=0pt, linestyle=none, fillstyle=solid, fillcolor=white]')
else:
out += ('[linewidth=0pt, linestyle=none, fillstyle=solid, fillcolor={gradientcolors!!['+str(color)+']}]')
out += ('(' + coors.strphys2frameX(b.low[0]) + ', ' \
+ coors.strphys2frameY(b.low[1]) + ')(' \
+ coors.strphys2frameX(b.high[0]) + ', ' \
+ coors.strphys2frameY(b.high[1]) + ')\n')
else:
if self.getErrorBands():
self.description['SmoothLine'] = 0
for b in self.data:
if isnan(b.val) or isnan(b.err[0]) or isnan(b.err[1]):
seen_nan = True
continue
- out += ('\\psframe[dimen=inner,linewidth=0pt,linestyle=none,fillstyle=solid,fillcolor=%s,opacity=%s]' % (self.getErrorBandColor(),self.getErrorBandOpacity()))
+ out += ('\\psframe[dimen=inner,linewidth=0pt,linestyle=none,fillstyle=%s,fillcolor=%s,opacity=%s,hatchcolor=%s]' %(self.getErrorBandStyle(),self.getErrorBandColor(),self.getErrorBandOpacity(),self.getHatchColor()))
out += ('(' + coors.strphys2frameX(b.xmin) + ', ' \
+ coors.strphys2frameY(b.val - b.err[0]) + ')(' \
+ coors.strphys2frameX(b.xmax) + ', ' \
+ coors.strphys2frameY(b.val + b.err[1]) + ')\n')
if self.getErrorBars():
for b in self.data:
if isnan(b.val) or isnan(b.err[0]) or isnan(b.err[1]):
seen_nan = True
continue
if b.val == 0. and b.err == [0.,0.]:
continue
out += ('\\psline')
out += ('(' + coors.strphys2frameX(b.xmin) + ', ' \
+ coors.strphys2frameY(b.val) + ')(' \
+ coors.strphys2frameX(b.xmax) + ', ' \
+ coors.strphys2frameY(b.val) + ')\n')
out += ('\\psline')
bincenter = coors.strphys2frameX(.5*(b.xmin+b.xmax))
out += ('(' + bincenter + ', ' \
+ coors.strphys2frameY(b.val-b.err[0]) + ')(' \
+ bincenter + ', ' \
+ coors.strphys2frameY(b.val+b.err[1]) + ')\n')
+
+ if self.getErrorTubes():
+ for i in range(len(self.data)):
+ if self.data[i].val==0. and self.data[i].err==[0.,0.]: continue
+ tubeopts = ('linestyle=' + self.getErrorTubeLineStyle() \
+ + ', linecolor=' + self.getErrorTubeLineColor() \
+ + ', linewidth=' + self.getErrorTubeLineWidth() \
+ + ', strokeopacity=' + self.getErrorTubeLineOpacity() \
+ + ', opacity=' + self.getFillOpacity())
+ out += ('\psline['+tubeopts+']')
+ out += ('(' + coors.strphys2frameX(self.data[i].xmin) + ', ' \
+ + coors.strphys2frameY(self.data[i].val-self.data[i].err[0]) + ')(' \
+ + coors.strphys2frameX(self.data[i].xmax) + ', ' \
+ + coors.strphys2frameY(self.data[i].val-self.data[i].err[0]) + ')\n')
+ out += ('\psline['+tubeopts+']')
+ out += ('(' + coors.strphys2frameX(self.data[i].xmin) + ', ' \
+ + coors.strphys2frameY(self.data[i].val+self.data[i].err[1]) + ')(' \
+ + coors.strphys2frameX(self.data[i].xmax) + ', ' \
+ + coors.strphys2frameY(self.data[i].val+self.data[i].err[1]) + ')\n')
+ if self.description.get('ConnectBins', '1') == '1':
+ if i>0:
+ out += ('\psline['+tubeopts+']')
+ out += ('(' + coors.strphys2frameX(self.data[i].xmin) + ', ' \
+ + coors.strphys2frameY(self.data[i].val-self.data[i].err[0]) + ')(' \
+ + coors.strphys2frameX(self.data[i].xmin) + ', ' \
+ + coors.strphys2frameY(self.data[i-1].val-self.data[i-1].err[0]) + ')\n')
+ out += ('\psline['+tubeopts+']')
+ out += ('(' + coors.strphys2frameX(self.data[i].xmin) + ', ' \
+ + coors.strphys2frameY(self.data[i].val+self.data[i].err[1]) + ')(' \
+ + coors.strphys2frameX(self.data[i].xmin) + ', ' \
+ + coors.strphys2frameY(self.data[i-1].val+self.data[i-1].err[1]) + ')\n')
+
if self.getSmoothLine():
out += '\\psbezier'
else:
out += '\\psline'
if self.getFillStyle() != 'none': # make sure that filled areas go all the way down to the x-axis
if coors.phys2frameX(self.data[0].xmin) > 1e-4:
out += '(' + coors.strphys2frameX(self.data[0].xmin) + ', -0.1)\n'
else:
out += '(-0.1, -0.1)\n'
for i, b in enumerate(self.data):
if isnan(b.val):
seen_nan = True
continue
if self.getSmoothLine():
out += ('(' + coors.strphys2frameX(0.5*(b.xmin+b.xmax)) + ', ' \
+ coors.strphys2frameY(b.val) + ')\n')
else:
out += ('(' + coors.strphys2frameX(b.xmin) + ', ' \
+ coors.strphys2frameY(b.val) + ')(' \
+ coors.strphys2frameX(b.xmax) + ', ' \
+ coors.strphys2frameY(b.val) + ')\n')
## Join/separate data points, with vertical/diagonal lines
if i+1 < len(self.data): #< If this is not the last point
if self.description.get('ConnectBins', '1') != '1':
out += ('\\psline')
else:
## If bins are joined, but there is a gap in binning, choose whether to fill the gap
if (abs(coors.phys2frameX(b.xmax) - coors.phys2frameX(self.data[i+1].xmin)) > 1e-4):
if self.description.get('ConnectGaps', '0') != '1':
out += ('\\psline')
# TODO: Perhaps use a new dashed line to fill the gap?
if self.getFillStyle() != 'none': # make sure that filled areas go all the way down to the x-axis
if (coors.phys2frameX(self.data[-1].xmax) < 1-1e-4):
out += '(' + coors.strphys2frameX(self.data[-1].xmax) + ', -0.1)\n'
else:
out += '(1.1, -0.1)\n'
#
if self.getPolyMarker() != '':
for b in self.data:
if isnan(b.val):
seen_nan = True
continue
if b.val == 0. and b.err == [0.,0.]:
continue
out += ('\\psdot[dotstyle=%s,dotsize=%s,dotscale=%s](' % (self.getPolyMarker(),self.getDotSize(),self.getDotScale()) \
+ coors.strphys2frameX(.5*(b.xmin+b.xmax)) + ', ' \
+ coors.strphys2frameY(b.val) + ')\n')
out += "% END DATA\n"
else:
print("WARNING: No valid bin value/errors/edges to plot!")
out += "% NO DATA!\n"
out += self.stoppsset()
out += self.stopclip()
if seen_nan:
print("WARNING: NaN-valued value or error bar!")
return out
# def is2dimensional(self):
# return self.is2dim
def getXMin(self):
if not self.data:
return 0
elif self.is2dim:
return min(b.low[0] for b in self.data)
else:
return min(b.xmin for b in self.data)
def getXMax(self):
if not self.data:
return 1
elif self.is2dim:
return max(b.high[0] for b in self.data)
else:
return max(b.xmax for b in self.data)
def getYMin(self, xmin, xmax, logy):
if not self.data:
return 0
elif self.is2dim:
return min(b.low[1] for b in self.data)
else:
yvalues = []
for b in self.data:
if (b.xmax > xmin or b.xmin >= xmin) and (b.xmin < xmax or b.xmax <= xmax):
foo = b.val
if self.getErrorBars() or self.getErrorBands():
foo -= b.err[0]
if not isnan(foo) and (not logy or foo > 0):
yvalues.append(foo)
return min(yvalues) if yvalues else self.data[0].val
def getYMax(self, xmin, xmax):
if not self.data:
return 1
elif self.is2dim:
return max(b.high[1] for b in self.data)
else:
yvalues = []
for b in self.data:
if (b.xmax > xmin or b.xmin >= xmin) and (b.xmin < xmax or b.xmax <= xmax):
foo = b.val
if self.getErrorBars() or self.getErrorBands():
foo += b.err[1]
if not isnan(foo): # and (not logy or foo > 0):
yvalues.append(foo)
return max(yvalues) if yvalues else self.data[0].val
def getZMin(self, xmin, xmax, ymin, ymax):
if not self.is2dim:
return 0
zvalues = []
for b in self.data:
if (b.xmax[0] > xmin and b.xmin[0] < xmax) and (b.xmax[1] > ymin and b.xmin[1] < ymax):
zvalues.append(b.val)
return min(zvalues)
def getZMax(self, xmin, xmax, ymin, ymax):
if not self.is2dim:
return 0
zvalues = []
for b in self.data:
if (b.xmax[0] > xmin and b.xmin[0] < xmax) and (b.xmax[1] > ymin and b.xmin[1] < ymax):
zvalues.append(b.val)
return max(zvalues)
class Value(Histogram):
def read_input_data(self, f):
for line in f:
if is_end_marker(line, 'VALUE'):
break
elif is_comment(line):
continue
else:
line = line.rstrip()
m = pat_property.match(line)
if m:
prop, value = m.group(1,2)
self.description[prop] = value
else:
linearray = line.split()
if len(linearray) == 3:
self.data.append(BinData(0.0, 1.0, linearray[0], [ linearray[1], linearray[2] ])) # dummy x-values
else:
raise Exception('Value does not have the expected number of columns. ' + line)
# TODO: specialise draw() here
class Counter(Histogram):
def read_input_data(self, f):
for line in f:
if is_end_marker(line, 'COUNTER'):
break
elif is_comment(line):
continue
else:
line = line.rstrip()
m = pat_property.match(line)
if m:
prop, value = m.group(1,2)
self.description[prop] = value
else:
linearray = line.split()
if len(linearray) == 2:
self.data.append(BinData(0.0, 1.0, linearray[0], [ linearray[1], linearray[1] ])) # dummy x-values
else:
raise Exception('Counter does not have the expected number of columns. ' + line)
# TODO: specialise draw() here
class Histo1D(Histogram):
def read_input_data(self, f):
for line in f:
if is_end_marker(line, 'HISTO1D'):
break
elif is_comment(line):
continue
else:
line = line.rstrip()
m = pat_property.match(line)
if m:
prop, value = m.group(1,2)
self.description[prop] = value
else:
linearray = line.split()
## Detect symm errs
# TODO: Not sure what the 8-param version is for... auto-compatibility with YODA format?
if len(linearray) in [4,8]:
self.data.append(BinData(linearray[0], linearray[1], linearray[2], linearray[3]))
## Detect asymm errs
elif len(linearray) == 5:
self.data.append(BinData(linearray[0], linearray[1], linearray[2], [linearray[3],linearray[4]]))
else:
raise Exception('Histo1D does not have the expected number of columns. ' + line)
# TODO: specialise draw() here
class Histo2D(Histogram):
def read_input_data(self, f):
self.is2dim = True #< Should really be done in a constructor, but this is easier for now...
for line in f:
if is_end_marker(line, 'HISTO2D'):
break
elif is_comment(line):
continue
else:
line = line.rstrip()
m = pat_property.match(line)
if m:
prop, value = m.group(1,2)
self.description[prop] = value
else:
linearray = line.split()
if len(linearray) in [6,7]:
# If asymm z error, use the max or average of +- error
err = float(linearray[5])
if len(linearray) == 7:
if self.description.get("ShowMaxZErr", 1):
err = max(err, float(linearray[6]))
else:
err = 0.5 * (err + float(linearray[6]))
self.data.append(BinData([linearray[0], linearray[2]], [linearray[1], linearray[3]], float(linearray[4]), err))
else:
raise Exception('Histo2D does not have the expected number of columns. '+line)
# TODO: specialise draw() here
#############################
class Frame(object):
- def __init__(self):
+ def __init__(self, description, name):
+ self.description = description
+ self.name = name
self.framelinewidth = '0.3pt'
-
- def draw(self,inputdata):
+ self.framelinecolor = "black"
+ self.zeroline = self.description.has_key(self.name+'ZeroLine') and self.description[self.name+'ZeroLine']=='1'
+ self.unitline = self.description.has_key(self.name+'UnitLine') and self.description[self.name+'UnitLine']=='1'
+
+ def drawZeroLine(self,coor):
+ out = ('')
+ if self.zeroline:
+ out += ('\n%\n% ZeroLine\n%\n')
+ out += ('\\psline[linewidth=%s,linecolor=%s](0,%s)(1,%s)\n' %(self.framelinewidth,self.framelinecolor,coor,coor))
+ return out
+
+ def drawUnitLine(self,coor):
+ out = ('')
+ if self.unitline:
+ out += ('\n%\n% UnitLine\n%\n')
+ out += ('\\psline[linewidth=%s,linecolor=%s](0,%s)(1,%s)\n' %(self.framelinewidth,self.framelinecolor,coor,coor))
+ return out
+
+ def draw(self):
out = ('\n%\n% Frame\n%\n')
- if inputdata.description.get('FrameColor') is not None:
+ if self.description.get('FrameColor') is not None:
color = inputdata.description['FrameColor']
# We want to draw this frame only once, so set it to False for next time:
inputdata.description['FrameColor']=None
# Calculate how high and wide the overall plot is
height = [0,0]
width = inputdata.attr('PlotSizeX')
- if inputdata.attr_bool('RatioPlot', False):
+ if inputdata.attr_bool('RatioPlot', True):
height[1] = -inputdata.description['RatioPlotSizeY']
- if not inputdata.attr_bool('MainPlot', True):
+ if not (self.description.has_key('MainPlot') and self.description['MainPlot']=='0'):
height[0] = inputdata.description['PlotSizeY']
else:
height[0] = -height[1]
height[1] = 0
# Get the margin widths
left = inputdata.description['LeftMargin']+0.1
right = inputdata.description['RightMargin']+0.1
top = inputdata.description['TopMargin']+0.1
bottom = inputdata.description['BottomMargin']+0.1
#
out += ('\\rput(0,1){\\psline[linewidth=%scm,linecolor=%s](%scm,%scm)(%scm,%scm)}\n' %(top, color, -left, top/2, width+right, top/2))
out += ('\\rput(0,%scm){\\psline[linewidth=%scm,linecolor=%s](%scm,%scm)(%scm,%scm)}\n' %(height[1], bottom, color, -left, -bottom/2, width+right, -bottom/2))
out += ('\\rput(0,0){\\psline[linewidth=%scm,linecolor=%s](%scm,%scm)(%scm,%scm)}\n' %(left, color, -left/2, height[1]-0.05, -left/2, height[0]+0.05))
out += ('\\rput(1,0){\\psline[linewidth=%scm,linecolor=%s](%scm,%scm)(%scm,%scm)}\n' %(right, color, right/2, height[1]-0.05, right/2, height[0]+0.05))
- out += ('\\psframe[linewidth='+self.framelinewidth+',dimen=middle](0,0)(1,1)\n')
+ if self.description.has_key('FrameLineWidth'):
+ self.framelinewidth=self.description['FrameLineWidth']
+ if self.description.has_key('FrameLineColor'):
+ self.framelinecolor=self.description['FrameLineColor']
+ out += ('\\psframe[linewidth='+self.framelinewidth+',linecolor='+self.framelinecolor+',dimen=middle](0,0)(1,1)\n')
return out
class Ticks(object):
def __init__(self, description, coors):
- self.majorticklinewidth = '0.3pt'
- self.minorticklinewidth = '0.3pt'
+ self.description = description
+ self.majorticklinewidth = self.getMajorTickLineWidth()
+ self.minorticklinewidth = self.getMinorTickLineWidth()
+ self.majorticklinecolor = self.getMajorTickLineColor()
+ self.minorticklinecolor = self.getMinorTickLineColor()
self.majorticklength = '9pt'
self.minorticklength = '4pt'
- self.description = description
+ self.majorticklabelcolor = self.getMajorTickLabelColor()
self.coors = coors
-
- def draw_ticks(self, vmin, vmax, plotlog=False, custommajorticks=None, customminorticks=None, custommajortickmarks=-1, customminortickmarks=-1, drawlabels=True, twosided=False):
+ self.decimal = 0
+ self.framelinewidth = '0.3pt'
+ self.framelinecolor = 'black'
+
+ def draw_ticks(self, vmin, vmax, plotlog=False, custommajorticks=[], customminorticks=[], custommajortickmarks=-1, customminortickmarks=-1, twosided=False, drawlabels=True):
if vmax <= vmin:
raise Exception("Cannot place tick marks. Inconsistent min=%s and max=%s" % (vmin,vmax))
out = ""
if plotlog:
if vmin <= 0 or vmax <= 0:
raise Exception("Cannot place log axis min or max tick <= 0")
- if custommajorticks is None:
+ if (custommajorticks!=[] or customminorticks!=[]):
+ for i in range(len(custommajorticks)):
+ value=custommajorticks[i]['Value']
+ label=custommajorticks[i]['Label']
+ if value>=vmin and value<=vmax:
+ out += self.draw_majortick(value,twosided)
+ if drawlabels:
+ out += self.draw_majorticklabel(value, label=label)
+ for i in range(len(customminorticks)):
+ value=customminorticks[i]['Value']
+ if value>=vmin and value<=vmax:
+ out += self.draw_minortick(value,twosided)
+
+ else:
x = int(log10(vmin))
n_labels = 0
while x < log10(vmax) + 1:
if 10**x >= vmin:
ticklabel = 10**x
if ticklabel > vmin and ticklabel < vmax:
out += self.draw_majortick(ticklabel,twosided)
if drawlabels:
out += self.draw_majorticklabel(ticklabel)
n_labels += 1
if ticklabel == vmin or ticklabel == vmax:
if drawlabels:
out += self.draw_majorticklabel(ticklabel)
n_labels+=1
for i in range(2,10):
ticklabel = i*10**(x-1)
if ticklabel > vmin and ticklabel < vmax:
out += self.draw_minortick(ticklabel,twosided)
if drawlabels and n_labels == 0:
if (i+1)*10**(x-1) < vmax: # some special care for the last minor tick
out += self.draw_minorticklabel(ticklabel)
else:
out += self.draw_minorticklabel(ticklabel, last=True)
x += 1
- else:
- print("Warning: custom major ticks not currently supported on log axes -- please contact the developers to request!")
- elif custommajorticks is not None or customminorticks is not None:
- if custommajorticks:
- for i in range(len(custommajorticks)):
- value = custommajorticks[i]['Value']
- label = custommajorticks[i]['Label']
- if value >= vmin and value <= vmax:
- out += self.draw_majortick(value,twosided)
- if drawlabels:
- out += self.draw_majorticklabel(value, label=label)
- if customminorticks:
- for i in range(len(customminorticks)):
- value = customminorticks[i]['Value']
- if value >= vmin and value <= vmax:
- out += self.draw_minortick(value,twosided)
+ elif custommajorticks != [] or customminorticks != []:
+ for i in range(len(custommajorticks)):
+ value = custommajorticks[i]['Value']
+ label = custommajorticks[i]['Label']
+ if value >= vmin and value <= vmax:
+ out += self.draw_majortick(value,twosided)
+ if drawlabels:
+ out += self.draw_majorticklabel(value, label=label)
+ for i in range(len(customminorticks)):
+ value = customminorticks[i]['Value']
+ if value >= vmin and value <= vmax:
+ out += self.draw_minortick(value,twosided)
else:
vrange = vmax - vmin
if isnan(vrange):
vrange, vmin, vmax = 1, 1, 2
digits = int(log10(vrange))+1
if vrange <= 1:
digits -= 1
foo = int(vrange/(10**(digits-1)))
if foo/9. > 0.5:
tickmarks = 10
elif foo/9. > 0.2:
tickmarks = 5
elif foo/9. > 0.1:
tickmarks = 2
if custommajortickmarks > -1:
if custommajortickmarks not in [1, 2, 5, 10, 20]:
print('+++ Error in Ticks.draw_ticks(): MajorTickMarks must be in [1, 2, 5, 10, 20]')
else:
tickmarks = custommajortickmarks
if tickmarks == 2 or tickmarks == 20:
minortickmarks = 3
else:
minortickmarks = 4
if customminortickmarks > -1:
minortickmarks = customminortickmarks
#
x = 0
while x > vmin*10**digits:
x -= tickmarks*100**(digits-1)
while x <= vmax*10**digits:
if x >= vmin*10**digits - tickmarks*100**(digits-1):
ticklabel = 1.*x/10**digits
if int(ticklabel) == ticklabel:
ticklabel = int(ticklabel)
if float(ticklabel-vmin)/vrange >= -1e-5:
if abs(ticklabel-vmin)/vrange > 1e-5 and abs(ticklabel-vmax)/vrange > 1e-5:
out += self.draw_majortick(ticklabel,twosided)
if drawlabels:
out += self.draw_majorticklabel(ticklabel)
xminor = x
for i in range(minortickmarks):
xminor += 1.*tickmarks*100**(digits-1)/(minortickmarks+1)
ticklabel = 1.*xminor/10**digits
if ticklabel > vmin and ticklabel < vmax:
if abs(ticklabel-vmin)/vrange > 1e-5 and abs(ticklabel-vmax)/vrange > 1e-5:
out += self.draw_minortick(ticklabel,twosided)
x += tickmarks*100**(digits-1)
return out
+ def draw_breaks(self, vmin, vmax, breaks=[], twosided=False):
+ out = ""
+ for b in breaks:
+ value = b['Value']
+ if value>=vmin and value<=vmax:
+ out += self.draw_break(value,twosided)
+ return out
+
+ def add_definitions(self):
+ pass
+
+ def read_parameters(self):
+ if self.description.has_key('FrameLineWidth'):
+ self.framelinewidth=self.description['FrameLineWidth']
+ if self.description.has_key('FrameLineColor'):
+ self.framelinecolor=self.description['FrameLineColor']
+
def draw(self):
pass
def draw_minortick(self, ticklabel, twosided):
pass
def draw_majortick(self, ticklabel, twosided):
pass
def draw_majorticklabel(self, ticklabel):
pass
def draw_minorticklabel(self, value, label='', last=False):
return ''
+ def draw_break(self, pos, twosided):
+ pass
+
def get_ticklabel(self, value, plotlog=False, minor=False, lastminor=False):
label=''
prefix = ''
if plotlog:
bar = int(log10(value))
if bar < 0:
sign='-'
else:
sign='\\,'
if minor: # The power of ten is only to be added to the last minor tick label
if lastminor:
label = str(int(value/(10**bar))) + "\\cdot" + '10$^{'+sign+'\\text{'+str(abs(bar))+'}}$'
else:
label = str(int(value/(10**bar))) # The naked prefactor
else:
if bar==0:
label = '1'
else:
label = '10$^{'+sign+'\\text{%s}}$' % str(abs(bar))
else:
if fabs(value) < 1e-10:
value = 0
label = '%.3g' % value
if "e" in label:
a, b = label.split("e")
astr = "%2.1f" % float(a)
bstr = str(int(b))
label = "\\smaller{%s $\\!\\cdot 10^{%s} $}" % (astr, bstr)
return label
+ def getMajorTickLineWidth(self):
+ pass
+
+ def getMinorTickLineWidth(self):
+ pass
+
+ def getMajorTickLineColor(self):
+ pass
+
+ def getMinorTickLineColor(self):
+ pass
+
+ def getMajorTickLabelColor(self):
+ pass
+
class XTicks(Ticks):
- def draw(self, custommajorticks=None, customminorticks=None, custommajortickmarks=-1, customminortickmarks=-1,drawlabels=True):
- twosided = bool(int(self.description.get('XTwosidedTicks', '0')))
+ def draw(self, custommajorticks=[], customminorticks=[], custommajortickmarks=-1, customminortickmarks=-1, drawlabels=True, breaks=[]):
+ twosided = bool(int(self.description.get('XTwosidedTicks', '1')))
out = ""
out += ('\n%\n% X-Ticks\n%\n')
- out += ('\\def\\majortickmarkx{\\psline[linewidth='+self.majorticklinewidth+'](0,0)(0,'+self.majorticklength+')}%\n')
- out += ('\\def\\minortickmarkx{\\psline[linewidth='+self.minorticklinewidth+'](0,0)(0,'+self.minorticklength+')}%\n')
+ out += self.add_definitions()
uselog = self.description['LogX'] and (self.coors.xmin() > 0 and self.coors.xmax() > 0)
out += self.draw_ticks(self.coors.xmin(), self.coors.xmax(),\
plotlog=uselog,\
custommajorticks=custommajorticks,\
customminorticks=customminorticks,\
custommajortickmarks=custommajortickmarks,\
customminortickmarks=customminortickmarks,\
- drawlabels=drawlabels,\
- twosided=twosided)
+ twosided=twosided,\
+ drawlabels=drawlabels)
+ out += self.draw_breaks(self.coors.ymin(), self.coors.ymax(),\
+ breaks, twosided)
+ return out
+
+ def add_definitions(self):
+ self.read_parameters()
+ out = ''
+ out += ('\\def\\majortickmarkx{\\psline[linewidth='+self.majorticklinewidth+',linecolor='+self.majorticklinecolor+'](0,0)(0,'+self.majorticklength+')}%\n')
+ out += ('\\def\\minortickmarkx{\\psline[linewidth='+self.minorticklinewidth+',linecolor='+self.minorticklinecolor+'](0,0)(0,'+self.minorticklength+')}%\n')
+ out += ('\\def\\breakx{%\n \\rput{270}(0,0){\\psline[linewidth='+self.framelinewidth+',linecolor=white](0,-1pt)(0,1pt)}\n \\rput{180}(0,0){%\n \\rput{20}(0,1pt){%\n \\psline[linewidth='+self.framelinewidth+',linecolor='+self.framelinecolor+'](-5pt,0)(5pt,0)\n }\n \\rput{20}(0,-1pt){%\n \\psline[linewidth='+self.framelinewidth+',linecolor='+self.framelinecolor+'](-5pt,0)(5pt,0)\n }\n }\n }\n')
return out
def draw_minortick(self, ticklabel, twosided):
out = ''
out += '\\rput('+self.coors.strphys2frameX(ticklabel)+', 0){\\minortickmarkx}\n'
if twosided:
out += '\\rput{180}('+self.coors.strphys2frameX(ticklabel)+', 1){\\minortickmarkx}\n'
return out
def draw_minorticklabel(self, value, label='', last=False):
if not label:
label=self.get_ticklabel(value, int(self.description['LogX']), minor=True, lastminor=last)
if last: # Some more indentation for the last minor label
return ('\\rput('+self.coors.strphys2frameX(value)+', 0){\\rput[B](1.9\\labelsep,-2.3\\labelsep){\\strut{}'+label+'}}\n')
else:
return ('\\rput('+self.coors.strphys2frameX(value)+', 0){\\rput[B](0,-2.3\\labelsep){\\strut{}'+label+'}}\n')
def draw_majortick(self, ticklabel, twosided):
out = ''
out += '\\rput('+self.coors.strphys2frameX(ticklabel)+', 0){\\majortickmarkx}\n'
if twosided:
out += '\\rput{180}('+self.coors.strphys2frameX(ticklabel)+', 1){\\majortickmarkx}\n'
return out
def draw_majorticklabel(self, value, label=''):
if not label:
label = self.get_ticklabel(value, int(self.description['LogX']) and self.coors.xmin() > 0 and self.coors.xmax() > 0)
labelparts = label.split("\\n")
labelcode = label if len(labelparts) == 1 else ("\\shortstack{" + "\\\\ ".join(labelparts) + "}")
- rtn = "\\rput(" + self.coors.strphys2frameX(value) + ", 0){\\rput[t](0,-\\labelsep){" + labelcode + "}}\n"
+ rtn = "\\rput(" + self.coors.strphys2frameX(value) + ", 0){\\rput[t](0,-\\labelsep){\\textcolor{" +self.majorticklabelcolor + "}{" + labelcode + "}}}\n"
return rtn
+ def draw_break(self, pos, twosided):
+ out = ''
+ out += '\\rput(0, '+self.coors.strphys2frameX(pos)+', 0){\\breakx}\n'
+ if twosided:
+ out += '\\rput('+self.coors.strphys2frameX(pos)+', 1){\\breakx}\n'
+ return out
+
+ def getMajorTickLineWidth(self):
+ if self.description.has_key('XMajorTickLineWidth'):
+ return self.description['XMajorTickLineWidth']
+ return '0.3pt'
+
+ def getMinorTickLineWidth(self):
+ if self.description.has_key('XMinorTickLineWidth'):
+ return self.description['XMinorTickLineWidth']
+ return '0.3pt'
+
+ def getMajorTickLineColor(self):
+ if self.description.has_key('XMajorTickLineColor'):
+ return self.description['XMajorTickLineColor']
+ return 'black'
+
+ def getMinorTickLineColor(self):
+ if self.description.has_key('XMinorTickLineColor'):
+ return self.description['XMinorTickLineColor']
+ return 'black'
+
+ def getMajorTickLabelColor(self):
+ if self.description.has_key('XMajorTickLabelColor'):
+ return self.description['XMajorTickLabelColor']
+ return 'black'
+
+
class YTicks(Ticks):
- def draw(self, custommajorticks=None, customminorticks=None, custommajortickmarks=-1, customminortickmarks=-1, drawlabels=True):
- twosided = bool(int(self.description.get('YTwosidedTicks', '0')))
+ def draw(self, custommajorticks=[], customminorticks=[], custommajortickmarks=-1, customminortickmarks=-1, drawlabels=True, breaks=[]):
+ twosided = bool(int(self.description.get('YTwosidedTicks', '1')))
out = ""
out += ('\n%\n% Y-Ticks\n%\n')
- out += ('\\def\\majortickmarky{\\psline[linewidth=%s](0,0)(%s,0)}%%\n' % (self.majorticklinewidth, self.majorticklength))
- out += ('\\def\\minortickmarky{\\psline[linewidth=%s](0,0)(%s,0)}%%\n' % (self.minorticklinewidth, self.minorticklength))
+ out += self.add_definitions();
uselog = self.description['LogY'] and self.coors.ymin() > 0 and self.coors.ymax() > 0
out += self.draw_ticks(self.coors.ymin(), self.coors.ymax(),
plotlog=uselog,
custommajorticks=custommajorticks,
customminorticks=customminorticks,
custommajortickmarks=custommajortickmarks,
customminortickmarks=customminortickmarks,
twosided=twosided,
drawlabels=drawlabels)
+ if self.description.has_key('ShortenLargeNumbers') and \
+ self.description['ShortenLargeNumbers'] and \
+ not (self.description.has_key('PlotStage') and \
+ 'RatioPlot' in self.description['PlotStage']):
+ bar = int(self.decimal)
+ if bar<0:
+ sign='-'
+ else:
+ sign='\\,'
+ if bar==0:
+ pass
+ else:
+ pos = self.coors.strphys2frameY(self.coors.ymax())
+ label = \
+ ('\\times 10$^{'+sign+'\\text{'+str(abs(self.decimal))+'}}$')
+ out += ('\\uput[180]{0}(0, '+pos+'){\\strut{}'+label+'}\n')
+ out += self.draw_breaks(self.coors.ymin(), self.coors.ymax(),\
+ breaks, twosided)
+ return out
+
+ def add_definitions(self):
+ self.read_parameters()
+ out = ''
+ out += ('\\def\\majortickmarky{\\psline[linewidth='+self.majorticklinewidth+',linecolor='+self.majorticklinecolor+'](0,0)('+self.majorticklength+',0)}%\n')
+ out += ('\\def\\minortickmarky{\\psline[linewidth='+self.minorticklinewidth+',linecolor='+self.minorticklinecolor+'](0,0)('+self.minorticklength+',0)}%\n')
+ out += ('\\def\\breaky{%\n \\rput{180}(0,0){\\psline[linewidth='+self.framelinewidth+',linecolor=white](0,-1pt)(0,1pt)}\n \\rput{180}(0,0){%\n \\rput{20}(0,1pt){%\n \\psline[linewidth='+self.framelinewidth+',linecolor='+self.framelinecolor+'](-5pt,0)(5pt,0)\n }\n \\rput{20}(0,-1pt){%\n \\psline[linewidth='+self.framelinewidth+',linecolor='+self.framelinecolor+'](-5pt,0)(5pt,0)\n }\n }\n }\n')
return out
def draw_minortick(self, ticklabel, twosided):
out = ''
out += '\\rput(0, '+self.coors.strphys2frameY(ticklabel)+'){\\minortickmarky}\n'
if twosided:
out += '\\rput{180}(1, '+self.coors.strphys2frameY(ticklabel)+'){\\minortickmarky}\n'
return out
def draw_majortick(self, ticklabel, twosided):
out = ''
out += '\\rput(0, '+self.coors.strphys2frameY(ticklabel)+'){\\majortickmarky}\n'
if twosided:
out += '\\rput{180}(1, '+self.coors.strphys2frameY(ticklabel)+'){\\majortickmarky}\n'
return out
def draw_majorticklabel(self, value, label=''):
if not label:
label = self.get_ticklabel(value, int(self.description['LogY']) and self.coors.ymin() > 0 and self.coors.ymax() > 0)
- if self.description.get('RatioPlotMode', 'mcdata') == 'deviation' and self.description.get('RatioPlotStage'):
- rtn = '\\uput[180]{0}(0, '+self.coors.strphys2frameY(value)+'){\\strut{}'+label+'\\,$\\sigma$}\n'
+ if self.description.get('RatioPlotMode', 'mcdata') == 'deviation' \
+ and self.description.has_key('PlotStage') and 'RatioPlot' in self.description['PlotStage']:
+ rtn = '\\uput[180]{0}(0, '+self.coors.strphys2frameY(value)+'){\\strut{}\\textcolor{'+self.majorticklabelcolor+'}{'+label+'\\,$\\sigma$}}\n'
else:
labelparts = label.split("\\n")
labelcode = label if len(labelparts) == 1 else ("\\shortstack{" + "\\\\ ".join(labelparts) + "}")
- rtn = "\\rput(0, " + self.coors.strphys2frameY(value) + "){\\rput[r](-\\labelsep,0){" + labelcode + "}}\n"
+ rtn = "\\rput(0, " + self.coors.strphys2frameY(value) + "){\\rput[r](-\\labelsep,0){\\textcolor{"+self.majorticklabelcolor+"}{" + labelcode + "}}}\n"
return rtn
+ def draw_break(self, pos, twosided):
+ out = ''
+ out += '\\rput(0, '+self.coors.strphys2frameY(pos)+'){\\breaky}\n'
+ if twosided:
+ out += '\\rput(1, '+self.coors.strphys2frameY(pos)+'){\\breaky}\n'
+ return out
+
+ def getMajorTickLineWidth(self):
+ if self.description.has_key('XMajorTickLineWidth'):
+ return self.description['XMajorTickLineWidth']
+ return '0.3pt'
+
+ def getMinorTickLineWidth(self):
+ if self.description.has_key('XMinorTickLineWidth'):
+ return self.description['XMinorTickLineWidth']
+ return '0.3pt'
+
+ def getMajorTickLineColor(self):
+ if self.description.has_key('XMajorTickLineColor'):
+ return self.description['XMajorTickLineColor']
+ return 'black'
+
+ def getMinorTickLineColor(self):
+ if self.description.has_key('XMinorTickLineColor'):
+ return self.description['XMinorTickLineColor']
+ return 'black'
+
+ def getMajorTickLabelColor(self):
+ if self.description.has_key('XMajorTickLabelColor'):
+ return self.description['XMajorTickLabelColor']
+ return 'black'
+
+
class ZTicks(Ticks):
def __init__(self, description, coors):
self.majorticklinewidth = '0.3pt'
self.minorticklinewidth = '0.3pt'
self.majorticklength = '6pt'
self.minorticklength = '2.6pt'
self.description = description
self.coors = coors
def draw(self, custommajorticks=None, customminorticks=None, custommajortickmarks=-1, customminortickmarks=-1, drawlabels=True):
out = ""
out += ('\n%\n% Z-Ticks\n%\n')
- out += ('\\def\\majortickmarkz{\\psline[linewidth='+self.majorticklinewidth+'](0,0)('+self.majorticklength+',0)}%\n')
- out += ('\\def\\minortickmarkz{\\psline[linewidth='+self.minorticklinewidth+'](0,0)('+self.minorticklength+',0)}%\n')
+ out += ('\\def\\majortickmarkz{\\psline[linewidth='+self.majorticklinewidth+',linecolor='+self.majorticklinecolor+'](0,0)('+self.majorticklength+',0)}%\n')
+ out += ('\\def\\minortickmarkz{\\psline[linewidth='+self.minorticklinewidth+',linecolor='+self.minorticklinecolor+'](0,0)('+self.minorticklength+',0)}%\n')
out += self.draw_ticks(self.coors.zmin(), self.coors.zmax(),\
plotlog=self.description['LogZ'],\
custommajorticks=custommajorticks,\
customminorticks=customminorticks,\
custommajortickmarks=custommajortickmarks,\
customminortickmarks=customminortickmarks,\
twosided=False,\
drawlabels=drawlabels)
return out
def draw_minortick(self, ticklabel, twosided):
return '\\rput{180}(1, '+self.coors.strphys2frameZ(ticklabel)+'){\\minortickmarkz}\n'
def draw_majortick(self, ticklabel, twosided):
return '\\rput{180}(1, '+self.coors.strphys2frameZ(ticklabel)+'){\\majortickmarkz}\n'
def draw_majorticklabel(self, value, label=''):
if label=='':
label = self.get_ticklabel(value, int(self.description['LogZ']))
- if self.description.get('RatioPlotMode', "mcdata") == 'deviation' and self.description.get('RatioPlotStage'):
+ if self.description.get('RatioPlotMode', "mcdata") == 'deviation' \
+ and self.description.has_key('PlotStage') and 'RatioPlot' in self.description['PlotStage']:
return ('\\uput[0]{0}(1, '+self.coors.strphys2frameZ(value)+'){\\strut{}'+label+'\\,$\\sigma$}\n')
else:
return ('\\uput[0]{0}(1, '+self.coors.strphys2frameZ(value)+'){\\strut{}'+label+'}\n')
+ def getMajorTickLineWidth(self):
+ if self.description.has_key('ZMajorTickLineWidth'):
+ return self.description['ZMajorTickLineWidth']
+ return '0.3pt'
+
+ def getMinorTickLineWidth(self):
+ if self.description.has_key('ZMinorTickLineWidth'):
+ return self.description['ZMinorTickLineWidth']
+ return '0.3pt'
+
+ def getMajorTickLabelColor(self):
+ if self.description.has_key('ZMajorTickLabelColor'):
+ return self.description['ZMajorTickLabelColor']
+ return 'black'
+
+ def getMajorTickLineColor(self):
+ if self.description.has_key('ZMajorTickLineColor'):
+ return self.description['ZMajorTickLineColor']
+ return 'black'
+
+ def getMinorTickLineColor(self):
+ if self.description.has_key('ZMinorTickLineColor'):
+ return self.description['ZMinorTickLineColor']
+ return 'black'
class Coordinates(object):
def __init__(self, inputdata):
self.description = inputdata.description
def phys2frameX(self, x):
if self.description['LogX']:
if x>0:
result = 1.*(log10(x)-log10(self.xmin()))/(log10(self.xmax())-log10(self.xmin()))
else:
return -10
else:
result = 1.*(x-self.xmin())/(self.xmax()-self.xmin())
if (fabs(result) < 1e-4):
return 0
else:
return min(max(result,-10),10)
def phys2frameY(self, y):
if self.description['LogY']:
if y > 0 and self.ymin() > 0 and self.ymax() > 0:
result = 1.*(log10(y)-log10(self.ymin()))/(log10(self.ymax())-log10(self.ymin()))
else:
return -10
else:
result = 1.*(y-self.ymin())/(self.ymax()-self.ymin())
if (fabs(result) < 1e-4):
return 0
else:
return min(max(result,-10),10)
def phys2frameZ(self, z):
if self.description['LogZ']:
if z>0:
result = 1.*(log10(z)-log10(self.zmin()))/(log10(self.zmax())-log10(self.zmin()))
else:
return -10
else:
result = 1.*(z-self.zmin())/(self.zmax()-self.zmin())
if (fabs(result) < 1e-4):
return 0
else:
return min(max(result,-10),10)
# TODO: Add frame2phys functions (to allow linear function sampling in the frame space rather than the physical space)
def strphys2frameX(self, x):
return str(self.phys2frameX(x))
def strphys2frameY(self, y):
return str(self.phys2frameY(y))
def strphys2frameZ(self, z):
return str(self.phys2frameZ(z))
def xmin(self):
return self.description['Borders'][0]
def xmax(self):
return self.description['Borders'][1]
def ymin(self):
return self.description['Borders'][2]
def ymax(self):
return self.description['Borders'][3]
def zmin(self):
return self.description['Borders'][4]
def zmax(self):
return self.description['Borders'][5]
####################
def try_cmd(args):
"Run the given command + args and return True/False if it succeeds or not"
import subprocess
try:
subprocess.check_output(args, stderr=subprocess.STDOUT)
return True
except:
return False
def have_cmd(cmd):
return try_cmd(["which", cmd])
import shutil, subprocess
def process_datfile(datfile):
global opts
if not os.access(datfile, os.R_OK):
raise Exception("Could not read data file '%s'" % datfile)
datpath = os.path.abspath(datfile)
datfile = os.path.basename(datpath)
datdir = os.path.dirname(datpath)
outdir = opts.OUTPUT_DIR if opts.OUTPUT_DIR else datdir
filename = datfile.replace('.dat','')
## Create a temporary directory
# cwd = os.getcwd()
tempdir = tempfile.mkdtemp('.make-plots')
tempdatpath = os.path.join(tempdir, datfile)
shutil.copy(datpath, tempdir)
if opts.NO_CLEANUP:
logging.info('Keeping temp-files in %s' % tempdir)
## Make TeX file
inputdata = InputData(datpath)
+ if inputdata.attr_bool('IgnorePlot', False):
+ return
texpath = os.path.join(tempdir, '%s.tex' % filename)
texfile = open(texpath, 'w')
p = Plot(inputdata)
texfile.write(p.write_header(inputdata))
if inputdata.attr_bool("MainPlot", True):
mp = MainPlot(inputdata)
texfile.write(mp.draw(inputdata))
- if not inputdata.attr_bool("is2dim", False) and inputdata.attr_bool("RatioPlot", True) and inputdata.attr("RatioPlotReference"): # is not None:
- rp = RatioPlot(inputdata)
- texfile.write(rp.draw(inputdata))
+ if not inputdata.attr_bool("is2dim", False):
+ if inputdata.attr_bool("RatioPlot", True) and inputdata.attr("RatioPlotReference"): # is not None:
+ rp = RatioPlot(inputdata,0)
+ texfile.write(rp.draw(inputdata))
+ for i in range(1,9):
+ if inputdata.attr_bool('RatioPlot'+str(i), False): # and inputdata.attr('RatioPlot'+str(i)+'Reference'):
+ rp = RatioPlot(inputdata,i)
+ texfile.write(rp.draw(inputdata))
texfile.write(p.write_footer())
texfile.close()
if opts.OUTPUT_FORMAT != ["TEX"]:
## Check for the required programs
latexavailable = have_cmd("latex")
dvipsavailable = have_cmd("dvips")
convertavailable = have_cmd("convert")
ps2pnmavailable = have_cmd("ps2pnm")
pnm2pngavailable = have_cmd("pnm2png")
# TODO: It'd be nice to be able to control the size of the PNG between thumb and full-size...
# currently defaults (and is used below) to a size suitable for thumbnails
def mkpngcmd(infile, outfile, outsize=450, density=300):
if convertavailable:
pngcmd = ["convert",
"-flatten",
"-density", str(density),
infile,
"-quality", "100",
"-resize", "{size:d}x{size:d}>".format(size=outsize),
#"-sharpen", "0x1.0",
outfile]
#logging.debug(" ".join(pngcmd))
#pngproc = subprocess.Popen(pngcmd, stdout=subprocess.PIPE, cwd=tempdir)
#pngproc.wait()
return pngcmd
else:
raise Exception("Required PNG maker program (convert) not found")
# elif ps2pnmavailable and pnm2pngavailable:
# pstopnm = "pstopnm -stdout -xsize=461 -ysize=422 -xborder=0.01 -yborder=0.01 -portrait " + infile
# p1 = subprocess.Popen(pstopnm.split(), stdout=subprocess.PIPE, stderr=open("/dev/null", "w"), cwd=tempdir)
# p2 = subprocess.Popen(["pnmtopng"], stdin=p1.stdout, stdout=open("%s/%s.png" % (tempdir, outfile), "w"), stderr=open("/dev/null", "w"), cwd=tempdir)
# p2.wait()
# else:
# raise Exception("Required PNG maker programs (convert, or ps2pnm and pnm2png) not found")
## Run LaTeX (in no-stop mode)
logging.debug(os.listdir(tempdir))
texcmd = ["latex", "\scrollmode\input", texpath]
logging.debug("TeX command: " + " ".join(texcmd))
texproc = subprocess.Popen(texcmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, cwd=tempdir)
logging.debug(texproc.communicate()[0])
logging.debug(os.listdir(tempdir))
## Run dvips
dvcmd = ["dvips", filename]
if not logging.getLogger().isEnabledFor(logging.DEBUG):
dvcmd.append("-q")
## Handle Minion Font
if opts.OUTPUT_FONT == "MINION":
dvcmd.append('-Pminion')
## Choose format
# TODO: Rationalise... this is a mess! Maybe we can use tex2pix?
if "PS" in opts.OUTPUT_FORMAT:
dvcmd += ["-o", "%s.ps" % filename]
logging.debug(" ".join(dvcmd))
dvproc = subprocess.Popen(dvcmd, stdout=subprocess.PIPE, cwd=tempdir)
dvproc.wait()
if "PDF" in opts.OUTPUT_FORMAT:
dvcmd.append("-f")
logging.debug(" ".join(dvcmd))
dvproc = subprocess.Popen(dvcmd, stdout=subprocess.PIPE, cwd=tempdir)
cnvproc = subprocess.Popen(["ps2pdf", "-"], stdin=dvproc.stdout, stdout=subprocess.PIPE, cwd=tempdir)
f = open(os.path.join(tempdir, "%s.pdf" % filename), "wb")
f.write(cnvproc.communicate()[0])
f.close()
if "EPS" in opts.OUTPUT_FORMAT:
dvcmd.append("-f")
logging.debug(" ".join(dvcmd))
dvproc = subprocess.Popen(dvcmd, stdout=subprocess.PIPE, cwd=tempdir)
cnvproc = subprocess.Popen(["ps2eps"], stdin=dvproc.stdout, stderr=subprocess.PIPE, stdout=subprocess.PIPE, cwd=tempdir)
f = open(os.path.join(tempdir, "%s.eps" % filename), "wb")
f.write(cnvproc.communicate()[0])
f.close()
if "PNG" in opts.OUTPUT_FORMAT:
dvcmd.append("-f")
logging.debug(" ".join(dvcmd))
dvproc = subprocess.Popen(dvcmd, stdout=subprocess.PIPE, cwd=tempdir)
#pngcmd = ["convert", "-flatten", "-density", "110", "-", "-quality", "100", "-sharpen", "0x1.0", "%s.png" % filename]
pngcmd = mkpngcmd("-", "%s.png" % filename)
logging.debug(" ".join(pngcmd))
pngproc = subprocess.Popen(pngcmd, stdin=dvproc.stdout, stdout=subprocess.PIPE, cwd=tempdir)
pngproc.wait()
logging.debug(os.listdir(tempdir))
## Copy results back to main dir
for fmt in opts.OUTPUT_FORMAT:
outname = "%s.%s" % (filename, fmt.lower())
outpath = os.path.join(tempdir, outname)
if os.path.exists(outpath):
shutil.copy(outpath, outdir)
else:
logging.error("No output file '%s' from processing %s" % (outname, datfile))
## Clean up
if not opts.NO_CLEANUP:
shutil.rmtree(tempdir, ignore_errors=True)
####################
if __name__ == '__main__':
## Try to rename the process on Linux
try:
import ctypes
libc = ctypes.cdll.LoadLibrary('libc.so.6')
libc.prctl(15, 'make-plots', 0, 0, 0)
except Exception:
pass
## Try to use Psyco optimiser
try:
import psyco
psyco.full()
except ImportError:
pass
## Find number of (virtual) processing units
import multiprocessing
try:
numcores = multiprocessing.cpu_count()
except:
numcores = 1
## Parse command line options
from optparse import OptionParser, OptionGroup
parser = OptionParser(usage=__doc__)
parser.add_option("-j", "-n", "--num-threads", dest="NUM_THREADS", type="int",
default=numcores, help="max number of threads to be used [%s]" % numcores)
parser.add_option("-o", "--outdir", dest="OUTPUT_DIR", default=None,
help="choose the output directory (default = .dat dir)")
parser.add_option("--font", dest="OUTPUT_FONT", choices="palatino,cm,times,helvetica,minion".split(","),
default="palatino", help="choose the font to be used in the plots")
parser.add_option("--palatino", dest="OUTPUT_FONT", action="store_const", const="palatino", default="palatino",
help="use Palatino as font (default). DEPRECATED: Use --font")
parser.add_option("--cm", dest="OUTPUT_FONT", action="store_const", const="cm", default="palatino",
help="use Computer Modern as font. DEPRECATED: Use --font")
parser.add_option("--times", dest="OUTPUT_FONT", action="store_const", const="times", default="palatino",
help="use Times as font. DEPRECATED: Use --font")
parser.add_option("--minion", dest="OUTPUT_FONT", action="store_const", const="minion", default="palatino",
help="use Adobe Minion Pro as font. Note: You need to set TEXMFHOME first. DEPRECATED: Use --font")
parser.add_option("--helvetica", dest="OUTPUT_FONT", action="store_const", const="helvetica", default="palatino",
help="use Helvetica as font. DEPRECATED: Use --font")
parser.add_option("-f", "--format", dest="OUTPUT_FORMAT", default="PDF",
help="choose plot format, perhaps multiple comma-separated formats e.g. 'pdf' or 'tex,pdf,png' (default = PDF).")
parser.add_option("--ps", dest="OUTPUT_FORMAT", action="store_const", const="PS", default="PDF",
help="create PostScript output (default). DEPRECATED")
parser.add_option("--pdf", dest="OUTPUT_FORMAT", action="store_const", const="PDF", default="PDF",
help="create PDF output. DEPRECATED")
parser.add_option("--eps", dest="OUTPUT_FORMAT", action="store_const", const="EPS", default="PDF",
help="create Encapsulated PostScript output. DEPRECATED")
parser.add_option("--png", dest="OUTPUT_FORMAT", action="store_const", const="PNG", default="PDF",
help="create PNG output. DEPRECATED")
parser.add_option("--pspng", dest="OUTPUT_FORMAT", action="store_const", const="PS,PNG", default="PDF",
help="create PS and PNG output. DEPRECATED")
parser.add_option("--pdfpng", dest="OUTPUT_FORMAT", action="store_const", const="PDF,PNG", default="PDF",
help="create PDF and PNG output. DEPRECATED")
parser.add_option("--epspng", dest="OUTPUT_FORMAT", action="store_const", const="EPS,PNG", default="PDF",
help="create EPS and PNG output. DEPRECATED")
parser.add_option("--tex", dest="OUTPUT_FORMAT", action="store_const", const="TEX", default="PDF",
help="create TeX/LaTeX output.")
parser.add_option("--no-cleanup", dest="NO_CLEANUP", action="store_true", default=False,
help="keep temporary directory and print its filename.")
parser.add_option("--no-subproc", dest="NO_SUBPROC", action="store_true", default=False,
help="don't use subprocesses to render the plots in parallel -- useful for debugging.")
parser.add_option("--full-range", dest="FULL_RANGE", action="store_true", default=False,
help="plot full y range in log-y plots.")
parser.add_option("-c", "--config", dest="CONFIGFILES", action="append", default=None,
help="plot config file to be used. Overrides internal config blocks.")
verbgroup = OptionGroup(parser, "Verbosity control")
verbgroup.add_option("-v", "--verbose", action="store_const", const=logging.DEBUG, dest="LOGLEVEL",
default=logging.INFO, help="print debug (very verbose) messages")
verbgroup.add_option("-q", "--quiet", action="store_const", const=logging.WARNING, dest="LOGLEVEL",
default=logging.INFO, help="be very quiet")
parser.add_option_group(verbgroup)
opts, args = parser.parse_args()
## Tweak the opts output
logging.basicConfig(level=opts.LOGLEVEL, format="%(message)s")
opts.OUTPUT_FONT = opts.OUTPUT_FONT.upper()
opts.OUTPUT_FORMAT = opts.OUTPUT_FORMAT.upper().split(",")
if opts.NUM_THREADS == 1:
opts.NO_SUBPROC = True
## Check for no args
if len(args) == 0:
logging.error(parser.get_usage())
sys.exit(2)
## Check that the files exist
for f in args:
if not os.access(f, os.R_OK):
print("Error: cannot read from %s" % f)
sys.exit(1)
## Test for external programs (kpsewhich, latex, dvips, ps2pdf/ps2eps, and convert)
opts.LATEXPKGS = []
if opts.OUTPUT_FORMAT != ["TEX"]:
try:
## latex
if not have_cmd("latex"):
logging.error("ERROR: required program 'latex' could not be found. Exiting...")
sys.exit(1)
## dvips
if not have_cmd("dvips"):
logging.error("ERROR: required program 'dvips' could not be found. Exiting...")
sys.exit(1)
## ps2pdf / ps2eps
if "PDF" in opts.OUTPUT_FORMAT:
if not have_cmd("ps2pdf"):
logging.error("ERROR: required program 'ps2pdf' (for PDF output) could not be found. Exiting...")
sys.exit(1)
elif "EPS" in opts.OUTPUT_FORMAT:
if not have_cmd("ps2eps"):
logging.error("ERROR: required program 'ps2eps' (for EPS output) could not be found. Exiting...")
sys.exit(1)
## PNG output converter
if "PNG" in opts.OUTPUT_FORMAT:
if not have_cmd("convert"):
logging.error("ERROR: required program 'convert' (for PNG output) could not be found. Exiting...")
sys.exit(1)
## kpsewhich: required for LaTeX package testing
if not have_cmd("kpsewhich"):
logging.warning("WARNING: required program 'kpsewhich' (for LaTeX package checks) could not be found")
else:
## Check minion font
if opts.OUTPUT_FONT == "MINION":
p = subprocess.Popen(["kpsewhich", "minion.sty"], stdout=subprocess.PIPE)
p.wait()
if p.returncode != 0:
logging.warning('Warning: Using "--minion" requires minion.sty to be installed. Ignoring it.')
opts.OUTPUT_FONT = "PALATINO"
## Check for HEP LaTeX packages
# TODO: remove HEP-specifics/non-standards?
for pkg in ["hepnames", "hepunits", "underscore"]:
p = subprocess.Popen(["kpsewhich", "%s.sty" % pkg], stdout=subprocess.PIPE)
p.wait()
if p.returncode == 0:
opts.LATEXPKGS.append(pkg)
## Check for Palatino old style figures and small caps
if opts.OUTPUT_FONT == "PALATINO":
p = subprocess.Popen(["kpsewhich", "ot1pplx.fd"], stdout=subprocess.PIPE)
p.wait()
if p.returncode == 0:
opts.OUTPUT_FONT = "PALATINO_OSF"
except Exception as e:
logging.warning("Problem while testing for external packages. I'm going to try and continue without testing, but don't hold your breath...")
def init_worker():
import signal
signal.signal(signal.SIGINT, signal.SIG_IGN)
## Run rendering jobs
datfiles = args
plotword = "plots" if len(datfiles) > 1 else "plot"
logging.info("Making %d %s" % (len(datfiles), plotword))
if opts.NO_SUBPROC:
init_worker()
for i, df in enumerate(datfiles):
logging.info("Plotting %s (%d/%d remaining)" % (df, len(datfiles)-i, len(datfiles)))
process_datfile(df)
else:
pool = multiprocessing.Pool(opts.NUM_THREADS, init_worker)
try:
for i, _ in enumerate(pool.imap(process_datfile, datfiles)):
logging.info("Plotting %s (%d/%d remaining)" % (datfiles[i], len(datfiles)-i, len(datfiles)))
pool.close()
except KeyboardInterrupt:
print("Caught KeyboardInterrupt, terminating workers")
pool.terminate()
except ValueError as e:
print(e)
print("Perhaps your .dat file is corrupt?")
pool.terminate()
pool.join()
diff --git a/bin/rivet b/bin/rivet
--- a/bin/rivet
+++ b/bin/rivet
@@ -1,675 +1,675 @@
#! /usr/bin/env python
"""\
Run Rivet analyses on HepMC events read from a file or Unix pipe
Examples:
%prog [options] <hepmcfile> [<hepmcfile2> ...]
or
mkfifo fifo.hepmc
my_generator -o fifo.hepmc &
%prog [options] fifo.hepmc
ENVIRONMENT:
- * RIVET_ANALYSIS_PATH: list of paths to be searched for plugin
- analysis libraries at runtime
- * RIVET_DATA_PATH: list of paths to be searched for data files
+ * RIVET_ANALYSIS_PATH: list of paths to be searched for plugin analysis libraries at runtime
+ * RIVET_DATA_PATH: list of paths to be searched for data files (defaults to use analysis path)
+ * RIVET_WEIGHT_INDEX: the numerical weight-vector index to use in this run
* See the documentation for more environment variables.
"""
from __future__ import print_function
import os, sys
## Load the rivet module
try:
import rivet
except:
## If rivet loading failed, try to bootstrap the Python path!
try:
# TODO: Is this a good idea? Maybe just notify the user that their PYTHONPATH is wrong?
import commands
modname = sys.modules[__name__].__file__
binpath = os.path.dirname(modname)
rivetconfigpath = os.path.join(binpath, "rivet-config")
rivetpypath = commands.getoutput(rivetconfigpath + " --pythonpath")
sys.path.append(rivetpypath)
import rivet
except:
sys.stderr.write("The rivet Python module could not be loaded: is your PYTHONPATH set correctly?\n")
sys.exit(5)
rivet.util.check_python_version()
rivet.util.set_process_name("rivet")
import time, datetime, logging, signal
## Parse command line options
from optparse import OptionParser, OptionGroup
parser = OptionParser(usage=__doc__, version="rivet v%s" % rivet.version())
anagroup = OptionGroup(parser, "Analysis handling")
anagroup.add_option("-a", "--analysis", "--analyses", dest="ANALYSES", action="append",
default=[], metavar="ANA",
help="add an analysis (or comma-separated list of analyses) to the processing list.")
anagroup.add_option("--list-analyses", "--list", dest="LIST_ANALYSES", action="store_true",
default=False, help="show the list of available analyses' names. With -v, it shows the descriptions, too")
anagroup.add_option("--list-keywords", "--keywords", dest="LIST_KEYWORDS", action="store_true",
default=False, help="show the list of available keywords.")
anagroup.add_option("--list-used-analyses", action="store_true", dest="LIST_USED_ANALYSES",
default=False, help="list the analyses used by this command (after subtraction of inappropriate ones)")
anagroup.add_option("--show-analysis", "--show-analyses", "--show", dest="SHOW_ANALYSES", action="append",
default=[], help="show the details of an analysis")
anagroup.add_option("--show-bibtex", dest="SHOW_BIBTEX", action="store_true",
default=False, help="show BibTeX entries for all used analyses")
anagroup.add_option("--analysis-path", dest="ANALYSIS_PATH", metavar="PATH", default=None,
help="specify the analysis search path (cf. $RIVET_ANALYSIS_PATH).")
# TODO: remove/deprecate the append?
anagroup.add_option("--analysis-path-append", dest="ANALYSIS_PATH_APPEND", metavar="PATH", default=None,
help="append to the analysis search path (cf. $RIVET_ANALYSIS_PATH).")
anagroup.add_option("--pwd", dest="ANALYSIS_PATH_PWD", action="store_true", default=False,
help="append the current directory (pwd) to the analysis/data search paths (cf. $RIVET_ANALYSIS_PATH).")
# TODO: add control for more paths?
parser.add_option_group(anagroup)
extragroup = OptionGroup(parser, "Extra run settings")
extragroup.add_option("-o", "-H", "--histo-file", dest="HISTOFILE",
default="Rivet.yoda", help="specify the output histo file path (default = %default)")
extragroup.add_option("-p", "--preload-file", dest="PRELOADFILE",
default=None, help="specify and old yoda file to initialize (default = %default)")
extragroup.add_option("--no-histo-file", dest="WRITE_DATA", action="store_false", default=True,
help="don't write out any histogram file at the end of the run (default = write)")
extragroup.add_option("-x", "--cross-section", dest="CROSS_SECTION",
default=None, metavar="XS",
help="specify the signal process cross-section in pb")
extragroup.add_option("-n", "--nevts", dest="MAXEVTNUM", type="int",
default=None, metavar="NUM",
help="restrict the max number of events to process")
extragroup.add_option("--nskip", dest="EVTSKIPNUM", type="int",
default=0, metavar="NUM",
help="skip NUM events read from input before beginning processing")
extragroup.add_option("--runname", dest="RUN_NAME", default=None, metavar="NAME",
help="give an optional run name, to be prepended as a 'top level directory' in histo paths")
extragroup.add_option("--ignore-beams", dest="IGNORE_BEAMS", action="store_true", default=False,
help="ignore input event beams when checking analysis compatibility. "
"WARNING: analyses may not work correctly, or at all, with inappropriate beams")
parser.add_option_group(extragroup)
timinggroup = OptionGroup(parser, "Timeouts and periodic operations")
timinggroup.add_option("--event-timeout", dest="EVENT_TIMEOUT", type="int",
default=21600, metavar="NSECS",
help="max time in whole seconds to wait for an event to be generated from the specified source (default = %default)")
timinggroup.add_option("--run-timeout", dest="RUN_TIMEOUT", type="int",
default=None, metavar="NSECS",
help="max time in whole seconds to wait for the run to finish. This can be useful on batch systems such "
"as the LCG Grid where tokens expire on a fixed wall-clock and can render long Rivet runs unable to write "
"out the final histogram file (default = unlimited)")
timinggroup.add_option("--histo-interval", dest="HISTO_WRITE_INTERVAL", type=int,
default=1000, help="specify the number of events between histogram file updates, default = %default. "
"Set to 0 to only write out at the end of the run. Note that intermediate histograms will be those "
"from the analyze step only: analysis finalizing is currently not executed until the end of the run.")
parser.add_option_group(timinggroup)
verbgroup = OptionGroup(parser, "Verbosity control")
parser.add_option("-l", dest="NATIVE_LOG_STRS", action="append",
default=[], help="set a log level in the Rivet library")
verbgroup.add_option("-v", "--verbose", action="store_const", const=logging.DEBUG, dest="LOGLEVEL",
default=logging.INFO, help="print debug (very verbose) messages")
verbgroup.add_option("-q", "--quiet", action="store_const", const=logging.WARNING, dest="LOGLEVEL",
default=logging.INFO, help="be very quiet")
parser.add_option_group(verbgroup)
opts, args = parser.parse_args()
## Override/modify analysis search path
if opts.ANALYSIS_PATH:
rivet.setAnalysisLibPaths(opts.ANALYSIS_PATH.split(":"))
rivet.setAnalysisDataPaths(opts.ANALYSIS_PATH.split(":"))
if opts.ANALYSIS_PATH_APPEND:
for ap in opts.ANALYSIS_PATH_APPEND.split(":"):
rivet.addAnalysisLibPath(ap)
rivet.addAnalysisDataPath(ap)
if opts.ANALYSIS_PATH_PWD:
rivet.addAnalysisLibPath(os.path.abspath("."))
rivet.addAnalysisDataPath(os.path.abspath("."))
## Configure logging
logging.basicConfig(level=opts.LOGLEVEL, format="%(message)s")
for l in opts.NATIVE_LOG_STRS:
name, level = None, None
try:
name, level = l.split("=")
except:
name = "Rivet"
level = l
## Fix name
if name != "Rivet" and not name.startswith("Rivet."):
name = "Rivet." + name
try:
## Get right error type
level = rivet.LEVELS.get(level.upper(), None)
logging.debug("Setting log level: %s %d" % (name, level))
rivet.setLogLevel(name, level)
except:
logging.warning("Couldn't process logging string '%s'" % l)
############################
## Listing available analyses/keywords
def getAnalysesByKeyword(alist, kstring):
add, veto, ret = [], [], []
bits = [i for i in kstring.replace("^@", "@^").split("@") if len(i) > 0]
for b in bits:
if b.startswith("^"):
veto.append(b.strip("^"))
else:
add.append(b)
add = set(add)
veto = set(veto)
for a in alist:
kwds = set([i.lower() for i in rivet.AnalysisLoader.getAnalysis(a).keywords()])
if kwds.intersection(veto) and len(kwds.intersection(add)) == len(list(add)):
ret.append(a)
return ret
## List of analyses
all_analyses = rivet.AnalysisLoader.analysisNames()
if opts.LIST_ANALYSES:
## Treat args as case-insensitive regexes if present
regexes = None
if args:
import re
regexes = [re.compile(arg, re.I) for arg in args]
# import tempfile, subprocess
# tf, tfpath = tempfile.mkstemp(prefix="rivet-list.")
names = []
msg = []
for aname in all_analyses:
if not regexes:
toshow = True
else:
toshow = False
for regex in regexes:
if regex.search(aname):
toshow = True
break
if toshow:
names.append(aname)
msg.append('')
if opts.LOGLEVEL <= logging.INFO:
a = rivet.AnalysisLoader.getAnalysis(aname)
st = "" if a.status() == "VALIDATED" else ("[%s] " % a.status())
# detex will very likely introduce some non-ASCII chars from
# greek names in analysis titles.
# The u"" prefix and explicit print encoding are necessary for
# py2 to handle this properly
msg[-1] = u"%s%s" % (st, a.summary())
if opts.LOGLEVEL < logging.INFO:
if a.keywords():
msg[-1] += u" [%s]" % " ".join(a.keywords())
if a.luminosityfb():
msg[-1] += u" [ \int L = %s fb^{-1} ]" % a.luminosityfb()
msg = rivet.util.detex(msg)
retlist = '\n'.join([ u"%-25s %s" % (a,m) for a,m in zip(names,msg) ])
if type(u'') is not str:
retlist = retlist.encode('utf-8')
print(retlist)
sys.exit(0)
def getKeywords(alist):
all_keywords = []
for a in alist:
all_keywords.extend(rivet.AnalysisLoader.getAnalysis(a).keywords())
all_keywords = [i.lower() for i in all_keywords]
return sorted(list(set(all_keywords)))
## List keywords
if opts.LIST_KEYWORDS:
# a = rivet.AnalysisLoader.getAnalysis(aname)
for k in getKeywords(all_analyses):
print(k)
sys.exit(0)
## Show analyses' details
if len(opts.SHOW_ANALYSES) > 0:
toshow = []
for i, a in enumerate(opts.SHOW_ANALYSES):
a_up = a.upper()
if a_up in all_analyses and a_up not in toshow:
toshow.append(a_up)
else:
## Treat as a case-insensitive regex
import re
regex = re.compile(a, re.I)
for ana in all_analyses:
if regex.search(ana) and a_up not in toshow:
toshow.append(ana)
msgs = []
for i, name in enumerate(sorted(toshow)):
import textwrap
ana = rivet.AnalysisLoader.getAnalysis(name)
msg = ""
msg += name + "\n"
msg += (len(name) * "=") + "\n\n"
msg += rivet.util.detex(ana.summary()) + "\n\n"
msg += "Status: " + ana.status() + "\n\n"
# TODO: reduce to only show Inspire in v3
if ana.inspireId():
msg += "Inspire ID: " + ana.inspireId() + "\n"
msg += "Inspire URL: http://inspire-hep.net/record/" + ana.inspireId() + "\n"
msg += "HepData URL: http://hepdata.net/record/ins" + ana.inspireId() + "\n"
elif ana.spiresId():
msg += "Spires ID: " + ana.spiresId() + "\n"
msg += "Inspire URL: http://inspire-hep.net/search?p=find+key+" + ana.spiresId() + "\n"
msg += "HepData URL: http://hepdata.cedar.ac.uk/view/irn" + ana.spiresId() + "\n"
if ana.year():
msg += "Year of publication: " + ana.year() + "\n"
if ana.bibKey():
msg += "BibTeX key: " + ana.bibKey() + "\n"
msg += "Authors:\n"
for a in ana.authors():
msg += " " + a + "\n"
msg += "\n"
msg += "Description:\n"
twrap = textwrap.TextWrapper(width=75, initial_indent=2*" ", subsequent_indent=2*" ")
msg += twrap.fill(rivet.util.detex(ana.description())) + "\n\n"
if ana.experiment():
msg += "Experiment: " + ana.experiment()
if ana.collider():
msg += "(%s)" % ana.collider()
msg += "\n"
# TODO: move this formatting into Analysis or a helper function?
if ana.requiredBeams():
def pid_to_str(pid):
if pid == 11:
return "e-"
elif pid == -11:
return "e+"
elif pid == 2212:
return "p+"
elif pid == -2212:
return "p-"
elif pid == 10000:
return "*"
else:
return str(pid)
beamstrs = []
for bp in ana.requiredBeams():
beamstrs.append(pid_to_str(bp[0]) + " " + pid_to_str(bp[1]))
msg += "Beams:" + ", ".join(beamstrs) + "\n"
if ana.requiredEnergies():
msg += "Beam energies:" + "; ".join(["(%0.1f, %0.1f) GeV\n" % (epair[0], epair[1]) for epair in ana.requiredEnergies()])
else:
msg += "Beam energies: ANY\n"
if ana.runInfo():
msg += "Run details:\n"
twrap = textwrap.TextWrapper(width=75, initial_indent=2*" ", subsequent_indent=4*" ")
for l in ana.runInfo().split("\n"):
msg += twrap.fill(l) + "\n"
if ana.luminosityfb():
msg+= "\nIntegrated data luminosity = %s inverse fb.\n"%ana.luminosityfb()
if ana.keywords():
msg += "\nAnalysis keywords:"
for k in ana.keywords():
msg += " %s"%k
msg+= "\n\n"
if ana.references():
msg += "\n" + "References:\n"
for r in ana.references():
url = None
if r.startswith("arXiv:"):
code = r.split()[0].replace("arXiv:", "")
url = "http://arxiv.org/abs/" + code
elif r.startswith("doi:"):
code = r.replace("doi:", "")
url = "http://dx.doi.org/" + code
if url is not None:
r += " - " + url
msg += " " + r + "\n"
## Add to the output
msgs.append(msg)
## Write the combined messages to a temporary file and page it
if msgs:
try:
import tempfile, subprocess
tffd, tfpath = tempfile.mkstemp(prefix="rivet-show.")
os.write(tffd, u"\n\n".join(msgs).encode('utf-8'))
if sys.stdout.isatty():
pager = subprocess.Popen(["less", "-FX", tfpath]) #, stdin=subprocess.PIPE)
pager.communicate()
else:
f = open(tfpath)
print(f.read())
f.close()
finally:
os.unlink(tfpath) #< always clean up
sys.exit(0)
############################
## Actual analysis runs
## We allow comma-separated lists of analysis names -- normalise the list here
newanas = []
for a in opts.ANALYSES:
if "," in a:
newanas += a.split(",")
elif "@" in a: #< NB. this bans combination of ana lists and keywords in a single arg
temp = getAnalysesByKeyword(all_analyses, a)
for i in temp:
newanas.append(i)
else:
newanas.append(a)
opts.ANALYSES = newanas
## Parse supplied cross-section
if opts.CROSS_SECTION is not None:
xsstr = opts.CROSS_SECTION
try:
opts.CROSS_SECTION = float(xsstr)
except:
import re
suffmatch = re.search(r"[^\d.]", xsstr)
if not suffmatch:
raise ValueError("Bad cross-section string: %s" % xsstr)
factor = base = None
suffstart = suffmatch.start()
if suffstart != -1:
base = xsstr[:suffstart]
suffix = xsstr[suffstart:].lower()
if suffix == "mb":
factor = 1e+9
elif suffix == "mub":
factor = 1e+6
elif suffix == "nb":
factor = 1e+3
elif suffix == "pb":
factor = 1
elif suffix == "fb":
factor = 1e-3
elif suffix == "ab":
factor = 1e-6
if factor is None or base is None:
raise ValueError("Bad cross-section string: %s" % xsstr)
xs = float(base) * factor
opts.CROSS_SECTION = xs
## Print the available CLI options!
#if opts.LIST_OPTIONS:
# for o in parser.option_list:
# print(o.get_opt_string())
# sys.exit(0)
## Set up signal handling
RECVD_KILL_SIGNAL = None
def handleKillSignal(signum, frame):
"Declare us as having been signalled, and return to default handling behaviour"
global RECVD_KILL_SIGNAL
logging.critical("Signal handler called with signal " + str(signum))
RECVD_KILL_SIGNAL = signum
signal.signal(signum, signal.SIG_DFL)
## Signals to handle
signal.signal(signal.SIGTERM, handleKillSignal);
signal.signal(signal.SIGHUP, handleKillSignal);
signal.signal(signal.SIGINT, handleKillSignal);
signal.signal(signal.SIGUSR1, handleKillSignal);
signal.signal(signal.SIGUSR2, handleKillSignal);
try:
signal.signal(signal.SIGXCPU, handleKillSignal);
except:
pass
## Identify HepMC files/streams
## TODO: check readability, deal with stdin
if len(args) > 0:
HEPMCFILES = args
else:
HEPMCFILES = ["-"]
## Event number logging
def logNEvt(n, starttime, maxevtnum):
if n % 10000 == 0:
nevtloglevel = logging.CRITICAL
elif n % 1000 == 0:
nevtloglevel = logging.WARNING
elif n % 100 == 0:
nevtloglevel = logging.INFO
else:
nevtloglevel = logging.DEBUG
currenttime = datetime.datetime.now().replace(microsecond=0)
elapsedtime = currenttime - starttime
logging.log(nevtloglevel, "Event %d (%s elapsed)" % (n, str(elapsedtime)))
# if maxevtnum is None:
# logging.log(nevtloglevel, "Event %d (%s elapsed)" % (n, str(elapsedtime)))
# else:
# remainingtime = (maxevtnum-n) * elapsedtime.total_seconds() / float(n)
# eta = time.strftime("%a %b %d %H:%M", datetime.localtime(currenttime + remainingtime))
# logging.log(nevtloglevel, "Event %d (%d s elapsed / %d s left) -> ETA: %s" %
# (n, elapsedtime, remainingtime, eta))
## Do some checks on output histo file, before we stat the event loop
histo_parentdir = os.path.dirname(os.path.abspath(opts.HISTOFILE))
if not os.path.exists(histo_parentdir):
logging.error('Parent path of output histogram file does not exist: %s\nExiting.' % histo_parentdir)
sys.exit(4)
if not os.access(histo_parentdir,os.W_OK):
logging.error('Insufficient permissions to write output histogram file to directory %s\nExiting.' % histo_parentdir)
sys.exit(4)
## Set up analysis handler
RUNNAME = opts.RUN_NAME or ""
ah = rivet.AnalysisHandler(RUNNAME)
ah.setIgnoreBeams(opts.IGNORE_BEAMS)
for a in opts.ANALYSES:
## Print warning message and exit if not a valid analysis name
if not a in all_analyses:
logging.warning("'%s' is not a known Rivet analysis! Do you need to set RIVET_ANALYSIS_PATH or use the --pwd switch?\n" % a)
# TODO: lay out more neatly, or even try for a "did you mean XXXX?" heuristic?
logging.warning("There are %d currently available analyses:\n" % len(all_analyses) + ", ".join(all_analyses))
sys.exit(1)
logging.debug("Adding analysis '%s'" % a)
ah.addAnalysis(a)
if opts.PRELOADFILE is not None:
ah.readData(opts.PRELOADFILE)
if opts.SHOW_BIBTEX:
bibs = []
for aname in sorted(ah.analysisNames()):
ana = rivet.AnalysisLoader.getAnalysis(aname)
bibs.append("% " + aname + "\n" + ana.bibTeX())
if bibs:
print("\nBibTeX for used Rivet analyses:\n")
print("% --------------------------\n")
print("\n\n".join(bibs) + "\n")
print("% --------------------------\n")
## Read and process events
run = rivet.Run(ah)
if opts.CROSS_SECTION is not None:
logging.info("User-supplied cross-section = %e pb" % opts.CROSS_SECTION)
run.setCrossSection(opts.CROSS_SECTION)
if opts.LIST_USED_ANALYSES is not None:
run.setListAnalyses(opts.LIST_USED_ANALYSES)
## Print platform type
import platform
starttime = datetime.datetime.now().replace(microsecond=0)
logging.info("Rivet %s running on machine %s (%s) at %s" % \
(rivet.version(), platform.node(), platform.machine(), str(starttime)))
def min_nonnull(a, b):
"A version of min which considers None to always be greater than a real number"
if a is None: return b
if b is None: return a
return min(a, b)
## Set up an event timeout handler
class TimeoutException(Exception):
pass
if opts.EVENT_TIMEOUT or opts.RUN_TIMEOUT:
def evttimeouthandler(signum, frame):
logging.warn("It has taken more than %d secs to get an event! Is the input event stream working?" %
min_nonnull(opts.EVENT_TIMEOUT, opts.RUN_TIMEOUT))
raise TimeoutException("Event timeout")
signal.signal(signal.SIGALRM, evttimeouthandler)
## Init run based on one event
hepmcfile = HEPMCFILES[0]
## Apply a file-level weight derived from the filename
hepmcfileweight = 1.0
if ":" in hepmcfile:
hepmcfile, hepmcfileweight = hepmcfile.rsplit(":", 1)
hepmcfileweight = float(hepmcfileweight)
try:
if opts.EVENT_TIMEOUT or opts.RUN_TIMEOUT:
signal.alarm(min_nonnull(opts.EVENT_TIMEOUT, opts.RUN_TIMEOUT))
init_ok = run.init(hepmcfile, hepmcfileweight)
signal.alarm(0)
if not init_ok:
logging.error("Failed to initialise using event file '%s'... exiting" % hepmcfile)
sys.exit(2)
except TimeoutException as te:
logging.error("Timeout in initialisation from event file '%s'... exiting" % hepmcfile)
sys.exit(3)
except Exception as ex:
logging.warning("Could not read from '%s' (error=%s)" % (hepmcfile, str(ex)))
sys.exit(3)
## Event loop
evtnum = 0
for fileidx, hepmcfile in enumerate(HEPMCFILES):
## Apply a file-level weight derived from the filename
hepmcfileweight = 1.0
if ":" in hepmcfile:
hepmcfile, hepmcfileweight = hepmcfile.rsplit(":", 1)
hepmcfileweight = float(hepmcfileweight)
## Open next HepMC file (NB. this doesn't apply to the first file: it was already used for the run init)
if fileidx > 0:
try:
run.openFile(hepmcfile, hepmcfileweight)
except Exception as ex:
logging.warning("Could not read from '%s' (error=%s)" % (hepmcfile, ex))
continue
if not run.readEvent():
logging.warning("Could not read events from '%s'" % hepmcfile)
continue
## Announce new file
msg = "Reading events from '%s'" % hepmcfile
if hepmcfileweight != 1.0:
msg += " (file weight = %e)" % hepmcfileweight
logging.info(msg)
## The event loop
while opts.MAXEVTNUM is None or evtnum-opts.EVTSKIPNUM < opts.MAXEVTNUM:
evtnum += 1
## Optional event skipping
if evtnum <= opts.EVTSKIPNUM:
logging.debug("Skipping event #%i" % evtnum)
run.skipEvent();
continue
## Only log the event number once we're actually processing
logNEvt(evtnum, starttime, opts.MAXEVTNUM)
## Process this event
processed_ok = run.processEvent()
if not processed_ok:
logging.warn("Event processing failed for evt #%i!" % evtnum)
break
## Set flag to exit event loop if run timeout exceeded
if opts.RUN_TIMEOUT and (time.time() - starttime) > opts.RUN_TIMEOUT:
logging.warning("Run timeout of %d secs exceeded... exiting gracefully" % opts.RUN_TIMEOUT)
RECVD_KILL_SIGNAL = True
## Exit the loop if signalled
if RECVD_KILL_SIGNAL is not None:
break
## Read next event (with timeout handling if requested)
try:
if opts.EVENT_TIMEOUT:
signal.alarm(opts.EVENT_TIMEOUT)
read_ok = run.readEvent()
signal.alarm(0)
if not read_ok:
break
except TimeoutException as te:
logging.error("Timeout in reading event from '%s'... exiting" % hepmcfile)
sys.exit(3)
## Write a histo file snapshot if appropriate
if opts.HISTO_WRITE_INTERVAL is not None and opts.HISTO_WRITE_INTERVAL > 0:
if evtnum % opts.HISTO_WRITE_INTERVAL == 0:
ah.writeData(opts.HISTOFILE)
## Print end-of-loop messages
loopendtime = datetime.datetime.now().replace(microsecond=0)
logging.info("Finished event loop at %s" % str(loopendtime))
logging.info("Generator provided cross-section = %e pb" % ah.nominalCrossSection())
## Finalize and write out data file
run.finalize()
logging.info("Applied cross-section = %e pb" % ah.nominalCrossSection())
print()
if opts.WRITE_DATA:
ah.writeData(opts.HISTOFILE)
print()
endtime = datetime.datetime.now().replace(microsecond=0)
logging.info("Rivet run completed at %s, time elapsed = %s" % (str(endtime), str(endtime-starttime)))
print()
logging.info("Histograms written to %s" % os.path.abspath(opts.HISTOFILE))
diff --git a/bin/rivet-cmphistos b/bin/rivet-cmphistos
--- a/bin/rivet-cmphistos
+++ b/bin/rivet-cmphistos
@@ -1,483 +1,483 @@
#! /usr/bin/env python
"""\
%prog - generate histogram comparison plots
USAGE:
%prog [options] yodafile1[:'PlotOption1=Value':'PlotOption2=Value':...] [path/to/yodafile2 ...] [PLOT:Key1=Val1:...]
where the plot options are described in the make-plots manual in the HISTOGRAM
section.
ENVIRONMENT:
* RIVET_ANALYSIS_PATH: list of paths to be searched for plugin
analysis libraries at runtime
* RIVET_DATA_PATH: list of paths to be searched for data files
"""
from __future__ import print_function
import rivet, yoda, sys, os
rivet.util.check_python_version()
rivet.util.set_process_name(os.path.basename(__file__))
class Plot(dict):
"A tiny Plot object to help writing out the head in the .dat file"
def __repr__(self):
return "# BEGIN PLOT\n" + "\n".join("%s=%s" % (k,v) for k,v in self.items()) + "\n# END PLOT\n\n"
def sanitiseString(s):
#s = s.replace('_','\\_')
#s = s.replace('^','\\^{}')
#s = s.replace('$','\\$')
s = s.replace('#','\\#')
s = s.replace('%','\\%')
return s
def getCommandLineOptions():
"Parse command line options"
from optparse import OptionParser, OptionGroup
parser = OptionParser(usage=__doc__)
parser.add_option('-o', '--outdir', dest='OUTDIR',
default='.', help='write data files into this directory')
parser.add_option("--hier-out", action="store_true", dest="HIER_OUTPUT", default=False,
help="write output dat files into a directory hierarchy which matches the analysis paths")
parser.add_option('--plotinfodir', dest='PLOTINFODIRS', action='append',
default=['.'], help='directory which may contain plot header information (in addition '
'to standard Rivet search paths)')
parser.add_option("--no-rivet-refs", dest="RIVETREFS", action="store_false",
default=True, help="don't use Rivet reference data files")
# parser.add_option("--refid", dest="REF_ID",
# default="REF", help="ID of reference data set (file path for non-REF data)")
parser.add_option("--reftitle", dest="REFTITLE",
default='Data', help="Reference data legend entry")
parser.add_option("--pwd", dest="PATH_PWD", action="store_true", default=False,
help="append the current directory (pwd) to the analysis/data search paths (cf. $RIVET_ANALYSIS/DATA_PATH)")
parser.add_option("-v", "--verbose", dest="VERBOSE", action="store_true", default=False,
help="produce debug output to the terminal")
stygroup = OptionGroup(parser, "Plot style")
stygroup.add_option("--linear", action="store_true", dest="LINEAR",
default=False, help="plot with linear scale")
- stygroup.add_option("--errs", "--mc-errs", action="store_true", dest="MC_ERRS",
+ stygroup.add_option("--errs", "--mcerrs", "--mc-errs", action="store_true", dest="MC_ERRS",
default=False, help="show vertical error bars on the MC lines")
stygroup.add_option("--no-ratio", action="store_false", dest="RATIO",
default=True, help="disable the ratio plot")
stygroup.add_option("--rel-ratio", action="store_true", dest="RATIO_DEVIATION",
default=False, help="show the ratio plots scaled to the ref error")
stygroup.add_option("--no-plottitle", action="store_true", dest="NOPLOTTITLE",
default=False, help="don't show the plot title on the plot "
"(useful when the plot description should only be given in a caption)")
stygroup.add_option("--style", dest="STYLE", default="default",
help="change plotting style: default|bw|talk")
stygroup.add_option("-c", "--config", dest="CONFIGFILES", action="append", default=["~/.make-plots"],
help="additional plot config file(s). Settings will be included in the output configuration.")
parser.add_option_group(stygroup)
selgroup = OptionGroup(parser, "Selective plotting")
# selgroup.add_option("--show-single", dest="SHOW_SINGLE", choices=("no", "ref", "mc", "all"),
# default="mc", help="control if a plot file is made if there is only one dataset to be plotted "
# "[default=%default]. If the value is 'no', single plots are always skipped, for 'ref' and 'mc', "
# "the plot will be written only if the single plot is a reference plot or an MC "
# "plot respectively, and 'all' will always create single plot files.\n The 'ref' and 'all' values "
# "should be used with great care, as they will also write out plot files for all reference "
# "histograms without MC traces: combined with the -R/--rivet-refs flag, this is a great way to "
# "write out several thousand irrelevant reference data histograms!")
# selgroup.add_option("--show-mc-only", "--all", action="store_true", dest="SHOW_IF_MC_ONLY",
# default=False, help="make a plot file even if there is only one dataset to be plotted and "
# "it is an MC one. Deprecated and will be removed: use --show-single instead, which overrides this.")
# # selgroup.add_option("-l", "--histogram-list", dest="HISTOGRAMLIST",
# # default=None, help="specify a file containing a list of histograms to plot, in the format "
# # "/ANALYSIS_ID/histoname, one per line, e.g. '/DELPHI_1996_S3430090/d01-x01-y01'.")
selgroup.add_option("-m", "--match", action="append",
help="only write out histograms whose $path/$name string matches these regexes. The argument "
"may also be a text file.",
dest="PATHPATTERNS")
selgroup.add_option("-M", "--unmatch", action="append",
help="exclude histograms whose $path/$name string matches these regexes",
dest="PATHUNPATTERNS")
parser.add_option_group(selgroup)
return parser
def getHistos(filelist):
"""Loop over all input files. Only use the first occurrence of any REF-histogram
and the first occurrence in each MC file for every MC-histogram."""
refhistos, mchistos = {}, {}
for infile in filelist:
mchistos.setdefault(infile, {})
analysisobjects = yoda.read(infile, patterns=opts.PATHPATTERNS, unpatterns=opts.PATHUNPATTERNS)
#print(analysisobjects)
for path, ao in analysisobjects.items():
## We can't plot non-histograms yet
# TODO: support counter plotting with a faked x (or y) position and forced plot width/height
- if ao.type not in ("Counter",
- "Histo1D",
- "Histo2D",
- "Profile1D",
- "Profile2D",
- "Scatter1D",
- "Scatter2D",
+ if ao.type not in ("Counter",
+ "Histo1D",
+ "Histo2D",
+ "Profile1D",
+ "Profile2D",
+ "Scatter1D",
+ "Scatter2D",
"Scatter3D"):
continue
## Make a path object and ensure the path is in standard form
try:
aop = rivet.AOPath(path)
except Exception as e:
#print(e)
print("Found analysis object with non-standard path structure:", path, "... skipping")
continue
## We don't plot data objects with path components hidden by an underscore prefix
if aop.istmp():
continue
## Add it to the ref or mc paths, if this path isn't already known
basepath = aop.basepath(keepref=False)
if aop.isref() and basepath not in refhistos:
ao.path = aop.varpath(keepref=False, defaultvarid=0)
refhistos[basepath] = ao
else: #if basepath not in mchistos[infile]:
mchistos[infile].setdefault(basepath, {})[aop.varid(0)] = ao
return refhistos, mchistos
def getRivetRefData(anas=None):
"Find all Rivet reference data files"
refhistos = {}
rivet_data_dirs = rivet.getAnalysisRefPaths()
dirlist = []
for d in rivet_data_dirs:
if anas is None:
import glob
dirlist.append(glob.glob(os.path.join(d, '*.yoda')))
else:
dirlist.append([os.path.join(d, a+'.yoda') for a in anas])
for filelist in dirlist:
# TODO: delegate to getHistos?
for infile in filelist:
analysisobjects = yoda.read(infile, patterns=opts.PATHPATTERNS, unpatterns=opts.PATHUNPATTERNS)
for path, ao in analysisobjects.items():
aop = rivet.AOPath(ao.path)
if aop.isref():
ao.path = aop.basepath(keepref=False)
refhistos[ao.path] = ao
return refhistos
def parseArgs(args):
"""Look at the argument list and split it at colons, in order to separate
the file names from the plotting options. Store the file names and
file specific plotting options."""
filelist = []
plotoptions = {}
for a in args:
asplit = a.split(':')
path = asplit[0]
filelist.append(path)
plotoptions[path] = []
has_title = False
for i in range(1, len(asplit)):
## Add 'Title' if there is no = sign before math mode
if '=' not in asplit[i] or ('$' in asplit[i] and asplit[i].index('$') < asplit[i].index('=')):
asplit[i] = 'Title=%s' % asplit[i]
if asplit[i].startswith('Title='):
has_title = True
plotoptions[path].append(asplit[i])
if path != "PLOT" and not has_title:
plotoptions[path].append('Title=%s' % sanitiseString(os.path.basename( os.path.splitext(path)[0] )) )
return filelist, plotoptions
def setStyle(ao, istyle, variation=False):
"""Set default plot styles (color and line width) colors borrowed from Google Ngrams"""
# LINECOLORS = ['{[HTML]{EE3311}}', # red (Google uses 'DC3912')
# '{[HTML]{3366FF}}', # blue
# '{[HTML]{109618}}', # green
# '{[HTML]{FF9900}}', # orange
# '{[HTML]{990099}}'] # lilac
LINECOLORS = ['red', 'blue', 'green', 'orange', 'lilac']
LINESTYLES = ['solid', 'dashed', 'dashdotted', 'dotted']
if opts.STYLE == 'talk':
ao.setAnnotation('LineWidth', '1pt')
if opts.STYLE == 'bw':
LINECOLORS = ['black!90',
'black!50',
'black!30']
jc = istyle % len(LINECOLORS)
c = LINECOLORS[jc]
js = (istyle // len(LINECOLORS)) % len(LINESTYLES)
s = LINESTYLES[js]
## If plotting a variation (i.e. band), fade the colour
if variation:
c += "!30"
ao.setAnnotation('LineStyle', '%s' % s)
ao.setAnnotation('LineColor', '%s' % c)
def setOptions(ao, options):
"Set arbitrary annotations"
for opt in options:
key, val = opt.split('=', 1)
ao.setAnnotation(key, val)
# TODO: move to rivet.utils
def mkoutdir(outdir):
"Function to make output directories"
if not os.path.exists(outdir):
try:
os.makedirs(outdir)
except:
msg = "Can't make output directory '%s'" % outdir
raise Exception(msg)
if not os.access(outdir, os.W_OK):
msg = "Can't write to output directory '%s'" % outdir
raise Exception(msg)
def mkOutput(hpath, aos, plot=None, special=None):
"""
Make the .dat file string. We can't use "yoda.writeFLAT(anaobjects, 'foobar.dat')"
because the PLOT and SPECIAL blocks don't have a corresponding analysis object.
"""
output = ''
if plot is not None:
output += str(plot)
if special is not None:
output += "\n"
output += "# BEGIN SPECIAL %s\n" % hpath
output += special
output += "# END SPECIAL\n\n"
from io import StringIO
sio = StringIO()
yoda.writeFLAT(aos, sio)
output += sio.getvalue()
return output
def writeOutput(output, h):
"Choose output file name and dir"
if opts.HIER_OUTPUT:
hparts = h.strip("/").split("/", 1)
ana = "_".join(hparts[:-1]) if len(hparts) > 1 else "ANALYSIS"
outdir = os.path.join(opts.OUTDIR, ana)
outfile = '%s.dat' % hparts[-1].replace("/", "_")
else:
hparts = h.strip("/").split("/")
outdir = opts.OUTDIR
outfile = '%s.dat' % "_".join(hparts)
mkoutdir(outdir)
outfilepath = os.path.join(outdir, outfile)
f = open(outfilepath, 'w')
f.write(output)
f.close()
#--------------------------------------------------------------------------------------------
if __name__ == '__main__':
## Command line parsing
parser = getCommandLineOptions()
opts, args = parser.parse_args()
## Add pwd to search paths
if opts.PATH_PWD:
rivet.addAnalysisLibPath(os.path.abspath("."))
rivet.addAnalysisDataPath(os.path.abspath("."))
## Split the input file names and the associated plotting options
## given on the command line into two separate lists
filelist, plotoptions = parseArgs(args)
## Remove the PLOT dummy file from the file list
if "PLOT" in filelist:
filelist.remove("PLOT")
## Check that the files exist
for f in filelist:
if not os.access(f, os.R_OK):
print("Error: cannot read from %s" % f)
sys.exit(1)
## Read the .plot files
plotdirs = opts.PLOTINFODIRS + [os.path.abspath(os.path.dirname(f)) for f in filelist]
plotparser = rivet.mkStdPlotParser(plotdirs, opts.CONFIGFILES)
## Create a list of all histograms to be plotted, and identify if they are 2D histos (which need special plotting)
try:
refhistos, mchistos = getHistos(filelist)
except IOError as e:
print("File reading error: ", e.strerror)
exit(1)
hpaths, h2ds = [], []
for aos in mchistos.values():
for p in aos.keys():
if p and p not in hpaths:
hpaths.append(p)
firstaop = aos[p][sorted(aos[p].keys())[0]]
# TODO: Would be nicer to test via isHisto and dim or similar, or yoda.Scatter/Histo/Profile base classes
if type(firstaop) in (yoda.Histo2D, yoda.Profile2D) and p not in h2ds:
h2ds.append(p)
## Take reference data from the Rivet search paths, if there is not already
if opts.RIVETREFS:
try:
refhistos2 = getRivetRefData()
except IOError as e:
print("File reading error: ", e.strerror)
exit(1)
refhistos2.update(refhistos)
refhistos = refhistos2
## Purge unmatched ref data entries to save memory
keylist = list(refhistos.keys()) # can't modify for-loop target
for refhpath in keylist:
if refhpath not in hpaths:
del refhistos[refhpath]
## Now loop over all MC histograms and plot them
# TODO: factorize much of this into a rivet.utils mkplotfile(mchists, refhist, kwargs, is2d=False) function
for hpath in hpaths:
#print('Currently looking at', h)
## The analysis objects to be plotted
anaobjects = []
## List of histos to be drawn, to sync the legend and plotted lines
mainlines = []
varlines = []
## Is this a 2D histo?
is2d = (hpath in h2ds)
## Will we be drawing a ratio plot?
showratio = opts.RATIO and not is2d
## A Plot object to represent the PLOT section in the .dat file
plot = Plot()
if not is2d:
plot['Legend'] = '1'
plot['LogY'] = '1'
headers = plotparser.getHeaders(hpath)
if headers:
plot.update(headers)
# for key, val in headers.items():
# plot[key] = val
if "PLOT" in plotoptions:
for key_val in plotoptions["PLOT"]:
key, val = [s.strip() for s in key_val.split("=",1)]
plot[key] = val
if opts.LINEAR:
plot['LogY'] = '0'
if opts.NOPLOTTITLE:
plot['Title'] = ''
if showratio and opts.RATIO_DEVIATION:
plot['RatioPlotMode'] = 'deviation'
if opts.STYLE == 'talk':
plot['PlotSize'] = '8,6'
elif opts.STYLE == 'bw' and showratio:
plot['RatioPlotErrorBandColor'] = 'black!10'
## Get a special object, if there is one for this path
special = plotparser.getSpecial(hpath)
## Handle reference data histogram, if there is one
ratioreference, hasdataref = None, False
if hpath in refhistos:
hasdataref = True
refdata = refhistos[hpath]
refdata.setAnnotation('Title', opts.REFTITLE)
if not is2d:
refdata.setAnnotation('ErrorBars', '1')
refdata.setAnnotation('PolyMarker', '*')
refdata.setAnnotation('ConnectBins', '0')
if showratio:
ratioreference = hpath
## For 1D
anaobjects.append(refdata)
mainlines.append(hpath)
## For 2D
if is2d:
s = mkOutput(hpath, [refdata], plot, special)
writeOutput(s, hpath)
## Loop over the MC files to plot all instances of the histogram
styleidx = 0
for infile in filelist:
if infile in mchistos and hpath in mchistos[infile]:
hmcs = mchistos[infile][hpath]
## For now, just plot all the different variation histograms (reversed, so [0] is on top)
# TODO: calculate and plot an appropriate error band, somehow...
for i in sorted(hmcs.keys(), reverse=True):
iscanonical = (str(i) == "0")
hmc = hmcs[i]
## Default linecolor, linestyle
if not is2d:
setStyle(hmc, styleidx, not iscanonical)
if opts.MC_ERRS:
hmc.setAnnotation('ErrorBars', '1')
## Plot defaults from .plot files
histopts = plotparser.getHistogramOptions(hpath)
if histopts:
for key, val in histopts.items():
hmc.setAnnotation(key, val)
## Command line plot options
setOptions(hmc, plotoptions[infile])
## Set path attribute
fullpath = "/"+infile+hpath
if not iscanonical:
fullpath += "["+str(i)+"]"
hmc.setAnnotation('Path', fullpath)
## Add object / path to appropriate lists
anaobjects.append(hmc)
if iscanonical:
mainlines.append(fullpath)
else:
varlines.append(fullpath)
if showratio and ratioreference is None and iscanonical:
ratioreference = fullpath
## For 2D, plot each histo now (since overlay makes no sense)
if is2d:
s = mkOutput(hpath, [hmc], plot, special)
writeOutput(s, fullpath)
styleidx += 1
## Finally render the combined plots; only show the first one if it's 2D
# TODO: Only show the first *MC* one if 2D?
if is2d:
anaobjects = anaobjects[:1]
## Add final attrs to Plot
plot['DrawOnly'] = ' '.join(varlines + mainlines).strip()
plot['LegendOnly'] = ' '.join(mainlines).strip()
if showratio and len(varlines + mainlines) > 1:
plot['RatioPlot'] = '1'
plot['RatioPlotReference'] = ratioreference
if not hasdataref and "RatioPlotYLabel" not in plot:
if plot.get('RatioPlotMode', '') == 'deviation':
plot['RatioPlotYLabel'] = 'Deviation' #r'$\text{MC}-\text{MC}_\text{ref}$'
else:
plot['RatioPlotYLabel'] = 'Ratio' #r'$\text{MC}/\text{MC}_\text{ref}$'
## Make the output and write to file
o = mkOutput(hpath, anaobjects, plot, special)
writeOutput(o, hpath)
diff --git a/bin/rivet-mkhtml b/bin/rivet-mkhtml
--- a/bin/rivet-mkhtml
+++ b/bin/rivet-mkhtml
@@ -1,507 +1,507 @@
#! /usr/bin/env python
"""\
%prog [options] <yodafile1> [<yodafile2> <yodafile3>...] [PLOT:Key1=Val1:...]
Make web pages from histogram files written out by Rivet. You can specify
multiple Monte Carlo YODA files to be compared in the same syntax as for
rivet-cmphistos, i.e. including plotting options.
Reference data, analysis metadata, and plot style information should be found
automatically (if not, set the RIVET_ANALYSIS_PATH or similar variables
appropriately).
Any existing output directory will be overwritten.
ENVIRONMENT:
* RIVET_ANALYSIS_PATH: list of paths to be searched for plugin
analysis libraries at runtime
* RIVET_DATA_PATH: list of paths to be searched for data files
"""
from __future__ import print_function
import rivet, sys, os
rivet.util.check_python_version()
rivet.util.set_process_name(os.path.basename(__file__))
import glob, shutil
from subprocess import Popen,PIPE
from optparse import OptionParser, OptionGroup
parser = OptionParser(usage=__doc__)
parser.add_option("-o", "--outputdir", dest="OUTPUTDIR",
default="./rivet-plots", help="directory for Web page output")
parser.add_option("-c", "--config", dest="CONFIGFILES", action="append", default=["~/.make-plots"],
help="plot config file(s) to be used with rivet-cmphistos")
parser.add_option("-n", "--num-threads", metavar="NUMTHREADS", dest="NUMTHREADS", type=int,
default=None, help="request make-plots to use a specific number of threads")
parser.add_option("--ignore-missing", dest="IGNORE_MISSING", action="store_true",
default=False, help="ignore missing YODA files")
parser.add_option("-i", "--ignore-unvalidated", dest="IGNORE_UNVALIDATED", action="store_true",
default=False, help="ignore unvalidated analyses")
# parser.add_option("--ref", "--refid", dest="REF_ID",
# default=None, help="ID of reference data set (file path for non-REF data)")
parser.add_option("--dry-run", help="don't actually do any plotting or HTML building", dest="DRY_RUN",
action="store_true", default=False)
parser.add_option("--no-cleanup", dest="NO_CLEANUP", action="store_true", default=False,
help="keep plotting temporary directory")
parser.add_option("--no-subproc", dest="NO_SUBPROC", action="store_true", default=False,
help="don't use subprocesses to render the plots in parallel -- useful for debugging")
parser.add_option("--pwd", dest="PATH_PWD", action="store_true", default=False,
help="append the current directory (pwd) to the analysis/data search paths (cf. $RIVET_ANALYSIS_PATH)")
stygroup = OptionGroup(parser, "Style options")
stygroup.add_option("-t", "--title", dest="TITLE",
default="Plots from Rivet analyses", help="title to be displayed on the main web page")
stygroup.add_option("--reftitle", dest="REFTITLE",
default="Data", help="legend entry for reference data")
stygroup.add_option("--no-plottitle", dest="NOPLOTTITLE", action="store_true",
default=False, help="don't show the plot title on the plot "
"(useful when the plot description should only be given in a caption)")
stygroup.add_option("-s", "--single", dest="SINGLE", action="store_true",
default=False, help="display plots on single webpage.")
stygroup.add_option("--no-ratio", dest="SHOW_RATIO", action="store_false",
default=True, help="don't draw a ratio plot under each main plot.")
-stygroup.add_option("--errs", "--mc-errs", dest="MC_ERRS", action="store_true",
+stygroup.add_option("--errs", "--mcerrs", "--mc-errs", dest="MC_ERRS", action="store_true",
default=False, help="plot error bars.")
stygroup.add_option("--offline", dest="OFFLINE", action="store_true",
default=False, help="generate HTML that does not use external URLs.")
stygroup.add_option("--pdf", dest="VECTORFORMAT", action="store_const", const="PDF",
default="PDF", help="use PDF as the vector plot format.")
stygroup.add_option("--ps", dest="VECTORFORMAT", action="store_const", const="PS",
default="PDF", help="use PostScript as the vector plot format. DEPRECATED")
stygroup.add_option("--booklet", dest="BOOKLET", action="store_true",
default=False, help="create booklet (currently only available for PDF with pdftk or pdfmerge).")
stygroup.add_option("--font", dest="OUTPUT_FONT", choices="palatino,cm,times,helvetica,minion".split(","),
default="palatino", help="choose the font to be used in the plots")
stygroup.add_option("--palatino", dest="OUTPUT_FONT", action="store_const", const="palatino", default="palatino",
help="use Palatino as font (default). DEPRECATED: Use --font")
stygroup.add_option("--cm", dest="OUTPUT_FONT", action="store_const", const="cm", default="palatino",
help="use Computer Modern as font. DEPRECATED: Use --font")
stygroup.add_option("--times", dest="OUTPUT_FONT", action="store_const", const="times", default="palatino",
help="use Times as font. DEPRECATED: Use --font")
stygroup.add_option("--helvetica", dest="OUTPUT_FONT", action="store_const", const="helvetica", default="palatino",
help="use Helvetica as font. DEPRECATED: Use --font")
stygroup.add_option("--minion", dest="OUTPUT_FONT", action="store_const", const="minion", default="palatino",
help="use Adobe Minion Pro as font. DEPRECATED: Use --font")
parser.add_option_group(stygroup)
selgroup = OptionGroup(parser, "Selective plotting")
selgroup.add_option("-m", "--match", action="append", dest="PATHPATTERNS", default=[],
help="only write out histograms whose $path/$name string matches any of these regexes")
selgroup.add_option("-M", "--unmatch", action="append", dest="PATHUNPATTERNS", default=[],
help="exclude histograms whose $path/$name string matches any of these regexes")
selgroup.add_option(#"-a", #< these were confusing, and -m should be enough
"--ana-match", action="append", dest="ANAPATTERNS", default=[],
help="only write out histograms from analyses whose name matches any of these regexes")
selgroup.add_option(#"-A", #< these were confusing, and -M should be enough
"--ana-unmatch", action="append", dest="ANAUNPATTERNS", default=[],
help="exclude histograms from analyses whose name matches any of these regexes")
parser.add_option_group(selgroup)
vrbgroup = OptionGroup(parser, "Verbosity control")
vrbgroup.add_option("-v", "--verbose", help="add extra debug messages", dest="VERBOSE",
action="store_true", default=False)
parser.add_option_group(vrbgroup)
opts, yodafiles = parser.parse_args()
## Add pwd to search paths
if opts.PATH_PWD:
rivet.addAnalysisLibPath(os.path.abspath("."))
rivet.addAnalysisDataPath(os.path.abspath("."))
## Check that there are some arguments!
if not yodafiles:
print("Error: You need to specify some YODA files to be plotted!")
sys.exit(1)
## Make output directory
if not opts.DRY_RUN:
if os.path.exists(opts.OUTPUTDIR) and not os.path.realpath(opts.OUTPUTDIR)==os.getcwd():
import shutil
shutil.rmtree(opts.OUTPUTDIR)
try:
os.makedirs(opts.OUTPUTDIR)
except:
print("Error: failed to make new directory '%s'" % opts.OUTPUTDIR)
sys.exit(1)
## Get set of analyses involved in the runs
plotarg = None
analyses = set()
blocked_analyses = set()
import yoda
for yodafile in yodafiles:
if yodafile.startswith("PLOT:"):
plotarg = yodafile
continue
yodafilepath = os.path.abspath(yodafile.split(":")[0])
if not os.access(yodafilepath, os.R_OK):
print("Error: cannot read from %s" % yodafilepath)
if opts.IGNORE_MISSING:
continue
else:
sys.exit(2)
try:
## Note: we use -m/-M flags here as well as when calling rivet-cmphistos, to potentially speed this initial loading
analysisobjects = yoda.read(yodafilepath, patterns=opts.PATHPATTERNS, unpatterns=opts.PATHUNPATTERNS)
except IOError as e:
print("File reading error: ", e.strerror)
sys.exit(1)
for path, ao in analysisobjects.items():
## Make a path object and ensure the path is in standard form
try:
aop = rivet.AOPath(path)
except Exception as e:
#print(e)
print("Found analysis object with non-standard path structure:", path, "... skipping")
continue
## We don't plot data objects with path components hidden by an underscore prefix
if aop.istmp():
continue
## Identify analysis/histo name parts
analysis = "ANALYSIS"
if aop.basepathparts(keepref=False):
analysis = aop.basepathparts(keepref=False)[0] #< TODO: for compatibility with rivet-cmphistos... generalise?
#analysis = "_".join(aop.dirnameparts(keepref=False)[:-1]) #< TODO: would this be nicer? Currently incompatible with rivet-cmphistos
## Optionally veto on analysis name pattern matching
if analysis in analyses.union(blocked_analyses):
continue
import re
matched = True
if opts.ANAPATTERNS:
matched = False
for patt in opts.ANAPATTERNS:
if re.match(patt, analysis) is not None:
matched = True
break
if matched and opts.ANAUNPATTERNS:
for patt in opts.ANAUNPATTERNS:
if re.match(patt, analysis) is not None:
matched = False
break
if matched:
analyses.add(analysis)
else:
blocked_analyses.add(analysis)
## Sort analyses: group ascending by analysis name (could specialise grouping by collider), then
## descending by year, and finally descending by bibliographic archive ID code (INSPIRE first).
def anasort(name):
rtn = (1, name)
if name.startswith("MC"):
rtn = (99999999, name)
else:
stdparts = name.split("_")
try:
year = int(stdparts[1])
rtn = (0, stdparts[0], -year, 0)
idcode = (0 if stdparts[2][0] == "I" else 1e10) - int(stdparts[2][1:])
rtn = (0, stdparts[0], -year, idcode)
if len(stdparts) > 3:
rtn += stdparts[3:]
except:
pass
return rtn
analyses = sorted(analyses, key=anasort)
## Uncomment to test analysis ordering on index page
# print(analyses)
# sys.exit(0)
## Run rivet-cmphistos to get plain .dat files from .yoda
## We do this here since it also makes the necessary directories
ch_cmd = ["rivet-cmphistos"]
if opts.MC_ERRS:
ch_cmd.append("--mc-errs")
if not opts.SHOW_RATIO:
ch_cmd.append("--no-ratio")
if opts.NOPLOTTITLE:
ch_cmd.append("--no-plottitle")
# if opts.REF_ID is not None:
# ch_cmd.append("--refid=%s" % os.path.abspath(opts.REF_ID))
if opts.REFTITLE:
ch_cmd.append("--reftitle=%s" % opts.REFTITLE )
if opts.PATHPATTERNS:
for patt in opts.PATHPATTERNS:
ch_cmd += ["-m", patt] #"'"+patt+"'"]
if opts.PATHUNPATTERNS:
for patt in opts.PATHUNPATTERNS:
ch_cmd += ["-M", patt] #"'"+patt+"'"]
ch_cmd.append("--hier-out")
# TODO: Need to be able to override this: provide a --plotinfodir cmd line option?
ch_cmd.append("--plotinfodir=%s" % os.path.abspath("../"))
for af in yodafiles:
yodafilepath = os.path.abspath(af.split(":")[0])
if af.startswith("PLOT:"):
yodafilepath = "PLOT"
elif not os.access(yodafilepath, os.R_OK):
continue
newarg = yodafilepath
if ":" in af:
newarg += ":" + af.split(":", 1)[1]
# print(newarg)
ch_cmd.append(newarg)
## Pass rivet-mkhtml -c args to rivet-cmphistos
for configfile in opts.CONFIGFILES:
configfile = os.path.abspath(os.path.expanduser(configfile))
if os.access(configfile, os.R_OK):
ch_cmd += ["-c", configfile]
if opts.VERBOSE:
ch_cmd.append("--verbose")
print("Calling rivet-cmphistos with the following command:")
print(" ".join(ch_cmd))
## Run rivet-cmphistos in a subdir, after fixing any relative paths in Rivet env vars
if not opts.DRY_RUN:
for var in ("RIVET_ANALYSIS_PATH", "RIVET_DATA_PATH", "RIVET_REF_PATH", "RIVET_INFO_PATH", "RIVET_PLOT_PATH"):
if var in os.environ:
abspaths = [os.path.abspath(p) for p in os.environ[var].split(":")]
os.environ[var] = ":".join(abspaths)
subproc = Popen(ch_cmd, cwd=opts.OUTPUTDIR, stdout=PIPE, stderr=PIPE)
out, err = subproc.communicate()
retcode = subproc.returncode
if opts.VERBOSE or retcode != 0:
print('Output from rivet-cmphistos:\n', out)
if err :
print('Errors from rivet-cmphistos:\n', err)
if retcode != 0:
print('Crash in rivet-cmphistos code = ', retcode, ' exiting')
exit(retcode)
## Write web page containing all (matched) plots
## Make web pages first so that we can load it locally in
## a browser to view the output before all plots are made
if not opts.DRY_RUN:
style = '''<style>
html { font-family: sans-serif; }
img { border: 0; }
a { text-decoration: none; font-weight: bold; }
</style>
'''
## Include MathJax configuration
script = ''
if not opts.OFFLINE:
script = '''\
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
tex2jax: {inlineMath: [["$","$"]]}
});
</script>
<script type="text/javascript"
src="https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
</script>
'''
## A helper function for metadata LaTeX -> HTML conversion
from rivet.util import htmlify
## A timestamp HTML fragment to be used on each page:
import datetime
timestamp = '<p>Generated at %s</p>\n' % datetime.datetime.now().strftime("%A, %d. %B %Y %I:%M%p")
index = open(os.path.join(opts.OUTPUTDIR, "index.html"), "w")
index.write('<html>\n<head>\n<title>%s</title>\n%s</head>\n<body>' % (opts.TITLE, style + script))
if opts.BOOKLET and opts.VECTORFORMAT == "PDF":
index.write('<h2><a href="booklet.pdf">%s</a></h2>\n\n' % opts.TITLE)
else:
index.write('<h2>%s</h2>\n\n' % opts.TITLE)
if opts.SINGLE:
## Write table of contents
index.write('<ul>\n')
for analysis in analyses:
summary = analysis
ana = rivet.AnalysisLoader.getAnalysis(analysis)
if ana:
summary = "%s (%s)" % (ana.summary(), analysis)
if opts.IGNORE_UNVALIDATED and ana.status() != "VALIDATED":
continue
index.write('<li><a href="#%s">%s</a>\n' % (analysis, htmlify(summary)) )
index.write('</ul>\n')
for analysis in analyses:
references = []
summary = htmlify(analysis)
description, inspireid, spiresid = None, None, None
if analysis.find("_I") > 0:
inspireid = analysis[analysis.rfind('_I')+2:len(analysis)]
elif analysis.find("_S") > 0:
spiresid = analysis[analysis.rfind('_S')+2:len(analysis)]
ana = rivet.AnalysisLoader.getAnalysis(analysis)
if ana:
if ana.summary():
summary = htmlify("%s (%s)" % (ana.summary(), analysis))
references = ana.references()
description = htmlify(ana.description())
spiresid = ana.spiresId()
if opts.IGNORE_UNVALIDATED and ana.status().upper() != "VALIDATED":
continue
if opts.SINGLE:
index.write('\n<h3 style="clear:left; padding-top:2em;"><a name="%s">%s</a></h3>\n' % (analysis, summary))
else:
index.write('\n<h3><a href="%s/index.html" style="text-decoration:none;">%s</a></h3>\n' % (analysis, summary))
reflist = []
if inspireid:
reflist.append('<a href="http://inspire-hep.net/record/%s">Inspire</a>' % inspireid)
reflist.append('<a href="http://hepdata.net/record/ins%s">HepData</a>' % inspireid)
elif spiresid:
# elif ana.spiresId():
reflist.append('<a href="http://inspire-hep.net/search?p=find+key+%s">Inspire</a>' % spiresid)
reflist.append('<a href="http://hepdata.cedar.ac.uk/view/irn%s">HepData</a>' % spiresid)
reflist += references
index.write('<p>%s</p>\n' % " &#124; ".join(reflist))
if description:
try:
index.write('<p style="font-size:smaller;">%s</p>\n' % description)
except UnicodeEncodeError as ue:
print("Unicode error in analysis description for " + analysis + ": " + str(ue))
anapath = os.path.join(opts.OUTPUTDIR, analysis)
if not opts.SINGLE:
if not os.path.exists(anapath):
os.makedirs(anapath)
anaindex = open(os.path.join(anapath, "index.html"), 'w')
anaindex.write('<html>\n<head>\n<title>%s &ndash; %s</title>\n%s</head>\n<body>\n' %
(htmlify(opts.TITLE), analysis, style + script))
anaindex.write('<h3>%s</h3>\n' % htmlify(analysis))
anaindex.write('<p><a href="../index.html">Back to index</a></p>\n')
if description:
try:
anaindex.write('<p>\n %s\n</p>\n' % description)
except UnicodeEncodeError as ue:
print("Unicode error in analysis description for " + analysis + ": " + str(ue))
else:
anaindex = index
datfiles = glob.glob("%s/*.dat" % anapath)
#print(datfiles)
anaindex.write('<div style="float:none; overflow:auto; width:100%">\n')
for datfile in sorted(datfiles):
obsname = os.path.basename(datfile).replace(".dat", "")
pngfile = obsname+".png"
vecfile = obsname+"."+opts.VECTORFORMAT.lower()
srcfile = obsname+".dat"
if opts.SINGLE:
pngfile = os.path.join(analysis, pngfile)
vecfile = os.path.join(analysis, vecfile)
srcfile = os.path.join(analysis, srcfile)
anaindex.write(' <div style="float:left; font-size:smaller; font-weight:bold;">\n')
anaindex.write(' <a href="#%s-%s">&#9875;</a><a href="%s">&#8984</a> %s:<br/>\n' %
(analysis, obsname, srcfile, os.path.splitext(vecfile)[0]) )
anaindex.write(' <a name="%s-%s"><a href="%s">\n' % (analysis, obsname, vecfile) )
anaindex.write(' <img src="%s">\n' % pngfile )
anaindex.write(' </a></a>\n')
anaindex.write(' </div>\n')
anaindex.write('</div>\n')
if not opts.SINGLE:
anaindex.write('<div style="float:none">%s</body>\n</html></div>\n' % timestamp)
anaindex.close()
index.write('<br>%s</body>\n</html>' % timestamp)
index.close()
# http://stackoverflow.com/questions/377017/test-if-executable-exists-in-python
def which(program):
import os
def is_exe(fpath):
return os.path.isfile(fpath) and os.access(fpath, os.X_OK)
fpath, fname = os.path.split(program)
if fpath:
if is_exe(program):
return program
else:
for path in os.environ["PATH"].split(os.pathsep):
path = path.strip('"')
exe_file = os.path.join(path, program)
if is_exe(exe_file):
return exe_file
return None
## Run make-plots on all generated .dat files
# sys.exit(0)
mp_cmd = ["make-plots"]
if opts.NUMTHREADS:
mp_cmd.append("--num-threads=%d" % opts.NUMTHREADS)
if opts.NO_CLEANUP:
mp_cmd.append("--no-cleanup")
if opts.NO_SUBPROC:
mp_cmd.append("--no-subproc")
if opts.VECTORFORMAT == "PDF":
mp_cmd.append("--pdfpng")
elif opts.VECTORFORMAT == "PS":
mp_cmd.append("--pspng")
if opts.OUTPUT_FONT:
mp_cmd.append("--font=%s" % opts.OUTPUT_FONT)
# if opts.OUTPUT_FONT.upper() == "PALATINO":
# mp_cmd.append("--palatino")
# if opts.OUTPUT_FONT.upper() == "CM":
# mp_cmd.append("--cm")
# elif opts.OUTPUT_FONT.upper() == "TIMES":
# mp_cmd.append("--times")
# elif opts.OUTPUT_FONT.upper() == "HELVETICA":
# mp_cmd.append("--helvetica")
# elif opts.OUTPUT_FONT.upper() == "MINION":
# mp_cmd.append("--minion")
datfiles = []
for analysis in analyses:
anapath = os.path.join(opts.OUTPUTDIR, analysis)
#print(anapath)
anadatfiles = glob.glob("%s/*.dat" % anapath)
datfiles += sorted(anadatfiles)
if datfiles:
mp_cmd += datfiles
if opts.VERBOSE:
mp_cmd.append("--verbose")
print("Calling make-plots with the following options:")
print(" ".join(mp_cmd))
if not opts.DRY_RUN:
Popen(mp_cmd).wait()
if opts.BOOKLET and opts.VECTORFORMAT=="PDF":
if which("pdftk") is not None:
bookletcmd = ["pdftk"]
for analysis in analyses:
anapath = os.path.join(opts.OUTPUTDIR, analysis)
bookletcmd += sorted(glob.glob("%s/*.pdf" % anapath))
bookletcmd += ["cat", "output", "%s/booklet.pdf" % opts.OUTPUTDIR]
print(bookletcmd)
Popen(bookletcmd).wait()
elif which("pdfmerge") is not None:
bookletcmd = ["pdfmerge"]
for analysis in analyses:
anapath = os.path.join(opts.OUTPUTDIR, analysis)
bookletcmd += sorted(glob.glob("%s/*.pdf" % anapath))
bookletcmd += ["%s/booklet.pdf" % opts.OUTPUTDIR]
print(bookletcmd)
Popen(bookletcmd).wait()
else:
print("Neither pdftk nor pdfmerge available --- not booklet output possible")
diff --git a/bin/rivet-nopy.cc b/bin/rivet-nopy.cc
--- a/bin/rivet-nopy.cc
+++ b/bin/rivet-nopy.cc
@@ -1,36 +1,37 @@
#include "Rivet/AnalysisHandler.hh"
#include "Rivet/AnalysisLoader.hh"
#include "HepMC/IO_GenEvent.h"
using namespace std;
int main(int argc, char** argv) {
if (argc < 2) {
cerr << "Usage: " << argv[0] << " <hepmcfile> <ana1> [<ana2> ...]" << '\n';
+ cout << "Available analyses:\n";
+ for (const string& a : Rivet::AnalysisLoader::analysisNames())
+ cout << " " << a << "\n";
+ cout << endl;
return 1;
}
- for (const string& a : Rivet::AnalysisLoader::analysisNames())
- cout << a << '\n';
-
Rivet::AnalysisHandler ah;
for (int i = 2; i < argc; ++i) {
ah.addAnalysis(argv[i]);
}
std::ifstream file(argv[1]);
HepMC::IO_GenEvent hepmcio(file);
HepMC::GenEvent* evt = hepmcio.read_next_event();
while (evt) {
ah.analyze(*evt);
delete evt; evt = 0;
hepmcio >> evt;
}
file.close();
ah.setCrossSection(1.0, 0.0);
ah.finalize();
ah.writeData("Rivet.yoda");
return 0;
}
diff --git a/configure.ac b/configure.ac
--- a/configure.ac
+++ b/configure.ac
@@ -1,333 +1,334 @@
## Process this file with autoconf to produce a configure script.
AC_PREREQ(2.59)
AC_INIT([Rivet],[3.0.0-pre],[rivet@projects.hepforge.org],[Rivet])
## Check and block installation into the src/build dir
if test "$prefix" = "$PWD"; then
AC_MSG_ERROR([Installation into the build directory is not supported: use a different --prefix argument])
fi
## Force default prefix to have a path value rather than NONE
if test "$prefix" = "NONE"; then
prefix=/usr/local
fi
AC_CONFIG_SRCDIR([src/Core/Analysis.cc])
AC_CONFIG_HEADERS([include/Rivet/Config/DummyConfig.hh include/Rivet/Config/RivetConfig.hh])
AM_INIT_AUTOMAKE([dist-bzip2 -Wall 1.10])
m4_ifdef([AM_SILENT_RULES], [AM_SILENT_RULES([yes])])
m4_ifdef([AM_PROG_AR], [AM_PROG_AR])
AC_CONFIG_MACRO_DIR([m4])
AC_SUBST(LT_OBJDIR)
## Package-specific #defines
AC_DEFINE_UNQUOTED(RIVET_VERSION, "$PACKAGE_VERSION", "Rivet version string")
AC_DEFINE_UNQUOTED(RIVET_NAME, "$PACKAGE_NAME", "Rivet name string")
AC_DEFINE_UNQUOTED(RIVET_STRING, "$PACKAGE_STRING", "Rivet name and version string")
AC_DEFINE_UNQUOTED(RIVET_TARNAME, "$PACKAGE_TARNAME", "Rivet short name string")
AC_DEFINE_UNQUOTED(RIVET_BUGREPORT, "$PACKAGE_BUGREPORT", "Rivet contact email address")
## OS X
AC_CEDAR_OSX
## Work out the LCG platform tag
AC_LCG_TAG
## Set default compiler flags
if test "x$CXXFLAGS" == "x"; then CXXFLAGS="-O2"; fi
## Compiler setup
AC_LANG(C++)
AC_PROG_CXX
AX_CXX_COMPILE_STDCXX([11], [noext], [mandatory])
## Store and propagate the compiler identity and flags
RIVETCXX="$CXX"
AC_SUBST(RIVETCXX)
RIVETCXXFLAGS="$CXXFLAGS"
AC_SUBST(RIVETCXXFLAGS)
## Checks for programs.
AC_PROG_INSTALL
AC_PROG_LN_S
AC_DISABLE_STATIC
AC_LIBTOOL_DLOPEN
AC_PROG_LIBTOOL
AX_EXECINFO
AC_FUNC_STRERROR_R
## YODA histogramming library
AC_CEDAR_LIBRARYANDHEADERS([YODA], , , [AC_MSG_ERROR([YODA is required])])
YODABINPATH=$YODALIBPATH/../bin
AC_SUBST(YODABINPATH)
AC_PATH_PROG(YODACONFIG, yoda-config, [], [$YODALIBPATH/../bin:$PATH])
YODA_PYTHONPATH=""
if test -f "$YODACONFIG"; then
AC_MSG_CHECKING([YODA version using yoda-config])
YODA_VERSION=`$YODACONFIG --version`
AC_MSG_RESULT([$YODA_VERSION])
YODA_VERSION1=[`echo $YODA_VERSION | cut -d. -f1 | sed -e 's/\([0-9]*\).*/\1/g'`]
YODA_VERSION2=[`echo $YODA_VERSION | cut -d. -f2 | sed -e 's/\([0-9]*\).*/\1/g'`]
YODA_VERSION3=[`echo $YODA_VERSION | cut -d. -f3 | sed -e 's/\([0-9]*\).*/\1/g'`]
let YODA_VERSION_INT=YODA_VERSION1*10000+YODA_VERSION2*100+YODA_VERSION3
if test $YODA_VERSION_INT -lt 10500; then
AC_MSG_ERROR([YODA version isn't sufficient: at least version 1.5.0 required])
fi
AC_MSG_CHECKING([YODA Python path using yoda-config])
YODA_PYTHONPATH=`$YODACONFIG --pythonpath`
AC_MSG_RESULT([$YODA_PYTHONPATH])
fi
AC_SUBST(YODA_PYTHONPATH)
## HepMC event record library
AC_CEDAR_LIBRARYANDHEADERS([HepMC], , , [AC_MSG_ERROR([HepMC is required])])
oldCPPFLAGS=$CPPFLAGS
CPPFLAGS="$CPPFLAGS -I$HEPMCINCPATH"
if test -e "$HEPMCINCPATH/HepMC/HepMCDefs.h"; then
AC_LANG_CONFTEST([AC_LANG_SOURCE([#include <iostream>
#include "HepMC/HepMCDefs.h"
int main() { std::cout << HEPMC_VERSION << std::endl; return 0; }])])
else
AC_LANG_CONFTEST([AC_LANG_SOURCE([#include <iostream>
#include "HepMC/defs.h"
int main() { std::cout << VERSION << std::endl; return 0; }])])
fi
if test -f conftest.cc; then
$CXX $CPPFLAGS conftest.cc -o conftest 2>&1 1>&5
else
$CXX $CPPFLAGS conftest.cpp -o conftest 2>&1 1>&5
fi
hepmc_version=`./conftest`
AC_MSG_CHECKING([HepMC version])
AX_COMPARE_VERSION([$hepmc_version], [lt], [2.06.09],
AC_MSG_RESULT([no])
AC_MSG_ERROR([Need HepMC 2.06.09 or later]),
AC_MSG_RESULT([ok]))
if test x$hepmc_version != x; then
let hepmc_major=`echo "$hepmc_version" | cut -d. -f1`
let hepmc_minor=`echo "$hepmc_version" | cut -d. -f2`
fi
rm -f conftest conftest.cpp conftest.cc conftest.C
HEPMC_VERSION=$hepmc_major$hepmc_minor
AC_MSG_NOTICE([HepMC version is $hepmc_version -> $HEPMC_VERSION])
AC_SUBST(HEPMC_VERSION)
CPPFLAGS=$oldCPPFLAGS
## FastJet clustering library
AC_CEDAR_LIBRARYANDHEADERS([fastjet], , , [AC_MSG_ERROR([FastJet is required])])
AC_PATH_PROG(FJCONFIG, fastjet-config, [], $FASTJETPATH/bin:$PATH)
if test -f "$FJCONFIG"; then
AC_MSG_CHECKING([FastJet version using fastjet-config])
fjversion=`$FJCONFIG --version`
AC_MSG_RESULT([$fjversion])
fjmajor=$(echo $fjversion | cut -f1 -d.)
fjminor=$(echo $fjversion | cut -f2 -d.)
fjmicro=$(echo $fjversion | cut -f3 -d.)
if test "$fjmajor" -lt 3; then
AC_MSG_ERROR([FastJet version 3.0.0 or later is required])
fi
FASTJETCONFIGLIBADD="$($FJCONFIG --plugins --shared --libs)"
else
FASTJETCONFIGLIBADD="-L$FASTJETLIBPATH -l$FASTJETLIBNAME"
FASTJETCONFIGLIBADD="$FASTJETCONFIGLIBADD -lSISConePlugin -lsiscone -lsiscone_spherical"
FASTJETCONFIGLIBADD="$FASTJETCONFIGLIBADD -lCDFConesPlugin -lD0RunIIConePlugin -lNestedDefsPlugin"
FASTJETCONFIGLIBADD="$FASTJETCONFIGLIBADD -lTrackJetPlugin -lATLASConePlugin -lCMSIterativeConePlugin"
FASTJETCONFIGLIBADD="$FASTJETCONFIGLIBADD -lEECambridgePlugin -lJadePlugin"
fi;
AC_MSG_NOTICE([FastJet LIBADD = $FASTJETCONFIGLIBADD])
AC_SUBST(FASTJETCONFIGLIBADD)
# Check for FastJet headers that require the --enable-all(cxx)plugins option
FASTJET_ERRMSG="Required FastJet plugin headers were not found: did you build FastJet with the --enable-allcxxplugins option?"
oldCPPFLAGS=$CPPFLAGS
CPPFLAGS="$CPPFLAGS -I$FASTJETINCPATH"
AC_CHECK_HEADER([fastjet/D0RunIIConePlugin.hh], [], [AC_MSG_ERROR([$FASTJET_ERRMSG])])
AC_CHECK_HEADER([fastjet/TrackJetPlugin.hh], [], [AC_MSG_ERROR([$FASTJET_ERRMSG])])
CPPFLAGS=$oldCPPFLAGS
# ## GNU Scientific Library
# AC_SEARCH_GSL
# AC_CEDAR_HEADERS([gsl], , , [AC_MSG_ERROR([GSL (GNU Scientific Library) is required])])
# oldCPPFLAGS=$CPPFLAGS
# CPPFLAGS="$CPPFLAGS -I$GSLINCPATH"
# AC_CHECK_HEADER([gsl/gsl_vector.h], [], [AC_MSG_ERROR([GSL vectors not found.])])
# CPPFLAGS=$oldCPPFLAGS
## Disable build/install of standard analyses
AC_ARG_ENABLE([analyses],
[AC_HELP_STRING(--disable-analyses, [don't try to build or install standard analyses])],
[], [enable_analyses=yes])
if test x$enable_analyses != xyes; then
AC_MSG_WARN([Not building standard Rivet analyses, by request])
fi
AM_CONDITIONAL(ENABLE_ANALYSES, [test x$enable_analyses = xyes])
## Build LaTeX docs if possible...
AC_PATH_PROG(PDFLATEX, pdflatex)
AM_CONDITIONAL(WITH_PDFLATEX, [test x$PDFLATEX != x])
## ... unless told otherwise!
AC_ARG_ENABLE([pdfmanual],
[AC_HELP_STRING(--enable-pdfmanual, [build and install the manual])],
[], [enable_pdfmanual=no])
if test x$enable_pdfmanual = xyes; then
AC_MSG_WARN([Building Rivet manual, by request])
fi
AM_CONDITIONAL(ENABLE_PDFMANUAL, [test x$enable_pdfmanual = xyes])
## Build Doxygen documentation if possible
AC_ARG_ENABLE([doxygen],
[AC_HELP_STRING(--disable-doxygen, [don't try to make Doxygen documentation])],
[], [enable_doxygen=yes])
if test x$enable_doxygen = xyes; then
AC_PATH_PROG(DOXYGEN, doxygen)
fi
AM_CONDITIONAL(WITH_DOXYGEN, [test x$DOXYGEN != x])
## Build asciidoc docs if possible
AC_PATH_PROG(ASCIIDOC, asciidoc)
AM_CONDITIONAL(WITH_ASCIIDOC, [test x$ASCIIDOC != x])
## Python extension
AC_ARG_ENABLE(pyext, [AC_HELP_STRING(--disable-pyext,
[don't build Python module (default=build)])],
[], [enable_pyext=yes])
## Basic Python checks
if test x$enable_pyext == xyes; then
AX_PYTHON_DEVEL([>= '2.7.3'])
AC_SUBST(PYTHON_VERSION)
RIVET_PYTHONPATH=`$PYTHON -c "from __future__ import print_function;
import distutils.sysconfig; print(distutils.sysconfig.get_python_lib(prefix='$prefix', plat_specific=True));"`
AC_SUBST(RIVET_PYTHONPATH)
if test -z "$PYTHON"; then
AC_MSG_ERROR([Can't build Python extension since python can't be found])
enable_pyext=no
fi
if test -z "$PYTHON_CPPFLAGS"; then
AC_MSG_ERROR([Can't build Python extension since Python.h header file cannot be found])
enable_pyext=no
fi
fi
AM_CONDITIONAL(ENABLE_PYEXT, [test x$enable_pyext == xyes])
dnl
dnl setup.py puts its build artifacts into a labelled path
dnl this helps the test scripts to find them locally instead of
dnl having to install first
dnl
RIVET_SETUP_PY_PATH=$(${PYTHON} -c 'from __future__ import print_function;
import distutils.util as u, sys; vi=sys.version_info; print("lib.%s-%s.%s" % (u.get_platform(),vi.major, vi.minor))')
AC_SUBST(RIVET_SETUP_PY_PATH)
## Cython checks
if test x$enable_pyext == xyes; then
AM_CHECK_CYTHON([0.24.0], [:], [:])
if test x$CYTHON_FOUND = xyes; then
AC_MSG_NOTICE([Cython >= 0.24 found: Python extension source can be rebuilt (for developers)])
fi
AC_CHECK_FILE([pyext/rivet/core.cpp],
[],
[if test "x$CYTHON_FOUND" != "xyes"; then
AC_MSG_ERROR([Cython is required for --enable-pyext, no pre-built core.cpp was found.])
fi])
cython_compiler=$CXX
## Set extra Python extension build flags (to cope with Cython output code oddities)
PYEXT_CXXFLAGS="$CXXFLAGS"
AC_CEDAR_CHECKCXXFLAG([-Wno-unused-but-set-variable], [PYEXT_CXXFLAGS="$PYEXT_CXXFLAGS -Wno-unused-but-set-variable"])
AC_CEDAR_CHECKCXXFLAG([-Wno-sign-compare], [PYEXT_CXXFLAGS="$PYEXT_CXXFLAGS -Wno-sign-compare"])
AC_SUBST(PYEXT_CXXFLAGS)
AC_MSG_NOTICE([All Python build checks successful: 'rivet' Python extension will be built])
fi
AM_CONDITIONAL(WITH_CYTHON, [test x$CYTHON_FOUND = xyes])
## Set default build flags
AM_CPPFLAGS="-I\$(top_srcdir)/include -I\$(top_builddir)/include"
#AM_CPPFLAGS="$AM_CPPFLAGS -I\$(top_srcdir)/include/eigen3"
#AM_CPPFLAGS="$AM_CPPFLAGS \$(GSL_CPPFLAGS)"
dnl AM_CPPFLAGS="$AM_CPPFLAGS \$(BOOST_CPPFLAGS)"
AM_CPPFLAGS="$AM_CPPFLAGS -I\$(YODAINCPATH)"
AM_CPPFLAGS="$AM_CPPFLAGS -I\$(HEPMCINCPATH)"
AM_CPPFLAGS="$AM_CPPFLAGS -I\$(FASTJETINCPATH)"
AC_CEDAR_CHECKCXXFLAG([-pedantic], [AM_CXXFLAGS="$AM_CXXFLAGS -pedantic"])
AC_CEDAR_CHECKCXXFLAG([-Wall], [AM_CXXFLAGS="$AM_CXXFLAGS -Wall"])
AC_CEDAR_CHECKCXXFLAG([-Wno-long-long], [AM_CXXFLAGS="$AM_CXXFLAGS -Wno-long-long"])
AC_CEDAR_CHECKCXXFLAG([-Wno-format], [AM_CXXFLAGS="$AM_CXXFLAGS -Wno-format"])
dnl AC_CEDAR_CHECKCXXFLAG([-Wno-unused-variable], [AM_CXXFLAGS="$AM_CXXFLAGS -Wno-unused-variable"])
AC_CEDAR_CHECKCXXFLAG([-Werror=uninitialized], [AM_CXXFLAGS="$AM_CXXFLAGS -Werror=uninitialized"])
AC_CEDAR_CHECKCXXFLAG([-Werror=delete-non-virtual-dtor], [AM_CXXFLAGS="$AM_CXXFLAGS -Werror=delete-non-virtual-dtor"])
## Add OpenMP-enabling flags if possible
AX_OPENMP([AM_CXXFLAGS="$AM_CXXFLAGS $OPENMP_CXXFLAGS"])
## Optional zlib support for gzip-compressed data streams/files
AX_CHECK_ZLIB
## Debug flag (default=-DNDEBUG, enabled=-g)
AC_ARG_ENABLE([debug], [AC_HELP_STRING(--enable-debug,
[build with debugging symbols @<:@default=no@:>@])], [], [enable_debug=no])
if test x$enable_debug == xyes; then
AM_CXXFLAGS="$AM_CXXFLAGS -g"
fi
## Extra warnings flag (default=none)
AC_ARG_ENABLE([extra-warnings], [AC_HELP_STRING(--enable-extra-warnings,
[build with extra compiler warnings (recommended for developers) @<:@default=no@:>@])], [], [enable_extra_warnings=no])
if test x$enable_extra_warnings == xyes; then
AC_CEDAR_CHECKCXXFLAG([-Wextra], [AM_CXXFLAGS="$AM_CXXFLAGS -Wextra "])
fi
AC_SUBST(AM_CPPFLAGS)
AC_SUBST(AM_CXXFLAGS)
AC_EMPTY_SUBST
AC_CONFIG_FILES(Makefile Doxyfile)
AC_CONFIG_FILES(include/Makefile include/Rivet/Makefile)
AC_CONFIG_FILES(src/Makefile)
AC_CONFIG_FILES(src/Core/Makefile src/Core/yamlcpp/Makefile)
AC_CONFIG_FILES(src/Tools/Makefile)
+AC_CONFIG_FILES(src/Tools/Nsubjettiness/Makefile)
AC_CONFIG_FILES(src/Projections/Makefile)
AC_CONFIG_FILES(src/AnalysisTools/Makefile)
AC_CONFIG_FILES(analyses/Makefile)
AC_CONFIG_FILES(test/Makefile)
AC_CONFIG_FILES(pyext/Makefile pyext/rivet/Makefile pyext/setup.py)
AC_CONFIG_FILES(data/Makefile data/texmf/Makefile)
AC_CONFIG_FILES(doc/Makefile)
AC_CONFIG_FILES(doc/rivetversion.sty)
AC_CONFIG_FILES(bin/Makefile bin/rivet-config bin/rivet-buildplugin)
AC_CONFIG_FILES(rivetenv.sh rivetenv.csh rivet.pc)
AC_OUTPUT
if test x$enable_pyrivet == xyes; then
cat <<EOF
************************************************************
RIVET CONFIGURED!
Now build and install (to the $prefix tree) with e.g.
make -j2 && make -j2 install
To use Rivet, we recommend reading HepMC files from a file
or pipe (the latter may be made with mkfifo) using the
'rivet' executable.
For a more pleasant command line experience, you can include
the data/rivet-completion file into your .bashrc file,
or your bash_completion.d directory if you have one.
The rivetenv.*sh files will not be installed, but can help you
to set up a Rivet runtime environment in future.
************************************************************
EOF
fi
diff --git a/include/Rivet/Analysis.hh b/include/Rivet/Analysis.hh
--- a/include/Rivet/Analysis.hh
+++ b/include/Rivet/Analysis.hh
@@ -1,961 +1,961 @@
// -*- C++ -*-
#ifndef RIVET_Analysis_HH
#define RIVET_Analysis_HH
#include "Rivet/Config/RivetCommon.hh"
#include "Rivet/AnalysisInfo.hh"
#include "Rivet/Event.hh"
#include "Rivet/Projection.hh"
#include "Rivet/ProjectionApplier.hh"
#include "Rivet/ProjectionHandler.hh"
#include "Rivet/AnalysisLoader.hh"
#include "Rivet/Tools/Cuts.hh"
#include "Rivet/Tools/Logging.hh"
#include "Rivet/Tools/ParticleUtils.hh"
#include "Rivet/Tools/BinnedHistogram.hh"
#include "Rivet/Tools/RivetMT2.hh"
#include "Rivet/Tools/RivetYODA.hh"
/// @def vetoEvent
/// Preprocessor define for vetoing events, including the log message and return.
#define vetoEvent \
do { MSG_DEBUG("Vetoing event on line " << __LINE__ << " of " << __FILE__); return; } while(0)
namespace Rivet {
// convenience for analysis writers
using std::cout;
using std::cerr;
using std::endl;
using std::stringstream;
using std::swap;
using std::numeric_limits;
// Forward declaration
class AnalysisHandler;
/// @brief This is the base class of all analysis classes in Rivet.
///
/// There are
/// three virtual functions which should be implemented in base classes:
///
/// void init() is called by Rivet before a run is started. Here the
/// analysis class should book necessary histograms. The needed
/// projections should probably rather be constructed in the
/// constructor.
///
/// void analyze(const Event&) is called once for each event. Here the
/// analysis class should apply the necessary Projections and fill the
/// histograms.
///
/// void finalize() is called after a run is finished. Here the analysis
/// class should do whatever manipulations are necessary on the
/// histograms. Writing the histograms to a file is, however, done by
/// the Rivet class.
class Analysis : public ProjectionApplier {
/// The AnalysisHandler is a friend.
friend class AnalysisHandler;
public:
/// @name Standard constructors and destructors.
//@{
// /// The default constructor.
// Analysis();
/// Constructor
Analysis(const std::string& name);
/// The destructor.
virtual ~Analysis() {}
//@}
public:
/// @name Main analysis methods
//@{
/// Initialize this analysis object. A concrete class should here
/// book all necessary histograms. An overridden function must make
/// sure it first calls the base class function.
virtual void init() { }
/// Analyze one event. A concrete class should here apply the
/// necessary projections on the \a event and fill the relevant
/// histograms. An overridden function must make sure it first calls
/// the base class function.
virtual void analyze(const Event& event) = 0;
/// Finalize this analysis object. A concrete class should here make
/// all necessary operations on the histograms. Writing the
/// histograms to a file is, however, done by the Rivet class. An
/// overridden function must make sure it first calls the base class
/// function.
virtual void finalize() { }
//@}
public:
/// @name Metadata
/// Metadata is used for querying from the command line and also for
/// building web pages and the analysis pages in the Rivet manual.
//@{
/// Get the actual AnalysisInfo object in which all this metadata is stored.
const AnalysisInfo& info() const {
assert(_info && "No AnalysisInfo object :O");
return *_info;
}
/// @brief Get the name of the analysis.
///
/// By default this is computed by combining the results of the experiment,
/// year and Spires ID metadata methods and you should only override it if
/// there's a good reason why those won't work.
virtual std::string name() const {
return (info().name().empty()) ? _defaultname : info().name();
}
/// Get the Inspire ID code for this analysis.
virtual std::string inspireId() const {
return info().inspireId();
}
/// Get the SPIRES ID code for this analysis (~deprecated).
virtual std::string spiresId() const {
return info().spiresId();
}
/// @brief Names & emails of paper/analysis authors.
///
/// Names and email of authors in 'NAME \<EMAIL\>' format. The first
/// name in the list should be the primary contact person.
virtual std::vector<std::string> authors() const {
return info().authors();
}
/// @brief Get a short description of the analysis.
///
/// Short (one sentence) description used as an index entry.
/// Use @a description() to provide full descriptive paragraphs
/// of analysis details.
virtual std::string summary() const {
return info().summary();
}
/// @brief Get a full description of the analysis.
///
/// Full textual description of this analysis, what it is useful for,
/// what experimental techniques are applied, etc. Should be treated
/// as a chunk of restructuredText (http://docutils.sourceforge.net/rst.html),
/// with equations to be rendered as LaTeX with amsmath operators.
virtual std::string description() const {
return info().description();
}
/// @brief Information about the events needed as input for this analysis.
///
/// Event types, energies, kinematic cuts, particles to be considered
/// stable, etc. etc. Should be treated as a restructuredText bullet list
/// (http://docutils.sourceforge.net/rst.html)
virtual std::string runInfo() const {
return info().runInfo();
}
/// Experiment which performed and published this analysis.
virtual std::string experiment() const {
return info().experiment();
}
/// Collider on which the experiment ran.
virtual std::string collider() const {
return info().collider();
}
/// When the original experimental analysis was published.
virtual std::string year() const {
return info().year();
}
/// The luminosity in inverse femtobarn
virtual std::string luminosityfb() const {
return info().luminosityfb();
}
/// Journal, and preprint references.
virtual std::vector<std::string> references() const {
return info().references();
}
/// BibTeX citation key for this article.
virtual std::string bibKey() const {
return info().bibKey();
}
/// BibTeX citation entry for this article.
virtual std::string bibTeX() const {
return info().bibTeX();
}
/// Whether this analysis is trusted (in any way!)
virtual std::string status() const {
return (info().status().empty()) ? "UNVALIDATED" : info().status();
}
/// Any work to be done on this analysis.
virtual std::vector<std::string> todos() const {
return info().todos();
}
/// Return the allowed pairs of incoming beams required by this analysis.
virtual const std::vector<PdgIdPair>& requiredBeams() const {
return info().beams();
}
/// Declare the allowed pairs of incoming beams required by this analysis.
virtual Analysis& setRequiredBeams(const std::vector<PdgIdPair>& requiredBeams) {
info().setBeams(requiredBeams);
return *this;
}
/// Sets of valid beam energy pairs, in GeV
virtual const std::vector<std::pair<double, double> >& requiredEnergies() const {
return info().energies();
}
/// Get vector of analysis keywords
virtual const std::vector<std::string> & keywords() const {
return info().keywords();
}
/// Declare the list of valid beam energy pairs, in GeV
virtual Analysis& setRequiredEnergies(const std::vector<std::pair<double, double> >& requiredEnergies) {
info().setEnergies(requiredEnergies);
return *this;
}
//@}
/// @name Internal metadata modifying methods
//@{
/// Get the actual AnalysisInfo object in which all this metadata is stored (non-const).
AnalysisInfo& info() {
assert(_info && "No AnalysisInfo object :O");
return *_info;
}
//@}
/// @name Run conditions
//@{
/// Incoming beams for this run
const ParticlePair& beams() const;
/// Incoming beam IDs for this run
const PdgIdPair beamIds() const;
/// Centre of mass energy for this run
double sqrtS() const;
//@}
/// @name Analysis / beam compatibility testing
//@{
/// Check if analysis is compatible with the provided beam particle IDs and energies
bool isCompatible(const ParticlePair& beams) const;
/// Check if analysis is compatible with the provided beam particle IDs and energies
bool isCompatible(PdgId beam1, PdgId beam2, double e1, double e2) const;
/// Check if analysis is compatible with the provided beam particle IDs and energies
bool isCompatible(const PdgIdPair& beams, const std::pair<double,double>& energies) const;
//@}
/// Access the controlling AnalysisHandler object.
AnalysisHandler& handler() const { return *_analysishandler; }
protected:
/// Get a Log object based on the name() property of the calling analysis object.
Log& getLog() const;
/// Get the process cross-section in pb. Throws if this hasn't been set.
double crossSection() const;
/// Get the process cross-section per generated event in pb. Throws if this
/// hasn't been set.
double crossSectionPerEvent() const;
/// @brief Get the number of events seen (via the analysis handler).
///
/// @note Use in the finalize phase only.
size_t numEvents() const;
/// @brief Get the sum of event weights seen (via the analysis handler).
///
/// @note Use in the finalize phase only.
double sumOfWeights() const;
protected:
/// @name Histogram paths
//@{
/// Get the canonical histogram "directory" path for this analysis.
const std::string histoDir() const;
/// Get the canonical histogram path for the named histogram in this analysis.
const std::string histoPath(const std::string& hname) const;
/// Get the canonical histogram path for the numbered histogram in this analysis.
const std::string histoPath(unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId) const;
/// Get the internal histogram name for given d, x and y (cf. HepData)
const std::string mkAxisCode(unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId) const;
/// Alias
/// @deprecated Prefer the "mk" form, consistent with other "making function" names
const std::string makeAxisCode(unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId) const {
return mkAxisCode(datasetId, xAxisId, yAxisId);
}
//@}
/// @name Histogram reference data
//@{
/// Get reference data for a named histo
/// @todo SFINAE to ensure that the type inherits from YODA::AnalysisObject?
template <typename T=YODA::Scatter2D>
const T& refData(const string& hname) const {
_cacheRefData();
MSG_TRACE("Using histo bin edges for " << name() << ":" << hname);
if (!_refdata[hname]) {
MSG_ERROR("Can't find reference histogram " << hname);
throw Exception("Reference data " + hname + " not found.");
}
return dynamic_cast<T&>(*_refdata[hname]);
}
/// Get reference data for a numbered histo
/// @todo SFINAE to ensure that the type inherits from YODA::AnalysisObject?
template <typename T=YODA::Scatter2D>
const T& refData(unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId) const {
const string hname = makeAxisCode(datasetId, xAxisId, yAxisId);
return refData(hname);
}
//@}
/// @name Counter booking
//@{
/// Book a counter.
CounterPtr & book(CounterPtr &, const std::string& name,
const std::string& title="");
// const std::string& valtitle=""
/// Book a counter, using a path generated from the dataset and axis ID codes
///
/// The paper, dataset and x/y-axis IDs will be used to build the histo name in the HepData standard way.
CounterPtr & book(CounterPtr &, unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId,
const std::string& title="");
// const std::string& valtitle=""
//@}
/// @name 1D histogram booking
//@{
/// Book a 1D histogram with @a nbins uniformly distributed across the range @a lower - @a upper .
Histo1DPtr & book(Histo1DPtr &,const std::string& name,
size_t nbins, double lower, double upper,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
/// Book a 1D histogram with non-uniform bins defined by the vector of bin edges @a binedges .
Histo1DPtr & book(Histo1DPtr &,const std::string& name,
const std::vector<double>& binedges,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
/// Book a 1D histogram with non-uniform bins defined by the vector of bin edges @a binedges .
Histo1DPtr & book(Histo1DPtr &,const std::string& name,
const std::initializer_list<double>& binedges,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
/// Book a 1D histogram with binning from a reference scatter.
Histo1DPtr & book(Histo1DPtr &,const std::string& name,
const Scatter2D& refscatter,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
/// Book a 1D histogram, using the binnings in the reference data histogram.
Histo1DPtr & book(Histo1DPtr &,const std::string& name,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
/// Book a 1D histogram, using the binnings in the reference data histogram.
///
/// The paper, dataset and x/y-axis IDs will be used to build the histo name in the HepData standard way.
Histo1DPtr & book(Histo1DPtr &,unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
//@}
/// @name 2D histogram booking
//@{
/// Book a 2D histogram with @a nxbins and @a nybins uniformly
/// distributed across the ranges @a xlower - @a xupper and @a
/// ylower - @a yupper respectively along the x- and y-axis.
Histo2DPtr & book(Histo2DPtr &,const std::string& name,
size_t nxbins, double xlower, double xupper,
size_t nybins, double ylower, double yupper,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="",
const std::string& ztitle="");
/// Book a 2D histogram with non-uniform bins defined by the
/// vectors of bin edges @a xbinedges and @a ybinedges.
Histo2DPtr & book(Histo2DPtr &,const std::string& name,
const std::vector<double>& xbinedges,
const std::vector<double>& ybinedges,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="",
const std::string& ztitle="");
/// Book a 2D histogram with non-uniform bins defined by the
/// vectors of bin edges @a xbinedges and @a ybinedges.
Histo2DPtr & book(Histo2DPtr &,const std::string& name,
const std::initializer_list<double>& xbinedges,
const std::initializer_list<double>& ybinedges,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="",
const std::string& ztitle="");
- // /// Book a 2D histogram with binning from a reference scatter.
- // Histo2DPtr bookHisto2D(const std::string& name,
- // const Scatter3D& refscatter,
- // const std::string& title="",
- // const std::string& xtitle="",
- // const std::string& ytitle="",
- // const std::string& ztitle="");
+ /// Book a 2D histogram with binning from a reference scatter.
+ Histo2DPtr & book(Histo2DPtr &,const std::string& name,
+ const Scatter3D& refscatter,
+ const std::string& title="",
+ const std::string& xtitle="",
+ const std::string& ytitle="",
+ const std::string& ztitle="");
- // /// Book a 2D histogram, using the binnings in the reference data histogram.
- // Histo2DPtr bookHisto2D(const std::string& name,
- // const std::string& title="",
- // const std::string& xtitle="",
- // const std::string& ytitle="",
- // const std::string& ztitle="");
+ /// Book a 2D histogram, using the binnings in the reference data histogram.
+ Histo2DPtr & book(Histo2DPtr &,const std::string& name,
+ const std::string& title="",
+ const std::string& xtitle="",
+ const std::string& ytitle="",
+ const std::string& ztitle="");
- // /// Book a 2D histogram, using the binnings in the reference data histogram.
- // ///
- // /// The paper, dataset and x/y-axis IDs will be used to build the histo name in the HepData standard way.
- // Histo2DPtr bookHisto2D(unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId,
- // const std::string& title="",
- // const std::string& xtitle="",
- // const std::string& ytitle="",
- // const std::string& ztitle="");
+ /// Book a 2D histogram, using the binnings in the reference data histogram.
+ ///
+ /// The paper, dataset and x/y-axis IDs will be used to build the histo name in the HepData standard way.
+ Histo2DPtr & book(Histo2DPtr &,unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId,
+ const std::string& title="",
+ const std::string& xtitle="",
+ const std::string& ytitle="",
+ const std::string& ztitle="");
//@}
/// @name 1D profile histogram booking
//@{
/// Book a 1D profile histogram with @a nbins uniformly distributed across the range @a lower - @a upper .
Profile1DPtr & book(Profile1DPtr &, const std::string& name,
size_t nbins, double lower, double upper,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
/// Book a 1D profile histogram with non-uniform bins defined by the vector of bin edges @a binedges .
Profile1DPtr & book(Profile1DPtr &, const std::string& name,
const std::vector<double>& binedges,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
/// Book a 1D profile histogram with non-uniform bins defined by the vector of bin edges @a binedges .
Profile1DPtr & book(Profile1DPtr &, const std::string& name,
const std::initializer_list<double>& binedges,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
/// Book a 1D profile histogram with binning from a reference scatter.
Profile1DPtr & book(Profile1DPtr &, const std::string& name,
const Scatter2D& refscatter,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
/// Book a 1D profile histogram, using the binnings in the reference data histogram.
Profile1DPtr & book(Profile1DPtr &, const std::string& name,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
/// Book a 1D profile histogram, using the binnings in the reference data histogram.
///
/// The paper, dataset and x/y-axis IDs will be used to build the histo name in the HepData standard way.
Profile1DPtr & book(Profile1DPtr &, unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
//@}
/// @name 2D profile histogram booking
//@{
/// Book a 2D profile histogram with @a nxbins and @a nybins uniformly
/// distributed across the ranges @a xlower - @a xupper and @a ylower - @a
/// yupper respectively along the x- and y-axis.
Profile2DPtr & book(Profile2DPtr &, const std::string& name,
size_t nxbins, double xlower, double xupper,
size_t nybins, double ylower, double yupper,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="",
const std::string& ztitle="");
/// Book a 2D profile histogram with non-uniform bins defined by the vectorx
/// of bin edges @a xbinedges and @a ybinedges.
Profile2DPtr & book(Profile2DPtr &, const std::string& name,
const std::vector<double>& xbinedges,
const std::vector<double>& ybinedges,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="",
const std::string& ztitle="");
/// Book a 2D profile histogram with non-uniform bins defined by the vectorx
/// of bin edges @a xbinedges and @a ybinedges.
Profile2DPtr & book(Profile2DPtr &, const std::string& name,
const std::initializer_list<double>& xbinedges,
const std::initializer_list<double>& ybinedges,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="",
const std::string& ztitle="");
/// Book a 2D profile histogram with binning from a reference scatter.
// Profile2DPtr bookProfile2D(const std::string& name,
// const Scatter3D& refscatter,
// const std::string& title="",
// const std::string& xtitle="",
// const std::string& ytitle="",
// const std::string& ztitle="");
// /// Book a 2D profile histogram, using the binnings in the reference data histogram.
// Profile2DPtr bookProfile2D(const std::string& name,
// const std::string& title="",
// const std::string& xtitle="",
// const std::string& ytitle="",
// const std::string& ztitle="");
// /// Book a 2D profile histogram, using the binnings in the reference data histogram.
// ///
// /// The paper, dataset and x/y-axis IDs will be used to build the histo name in the HepData standard way.
// Profile2DPtr bookProfile2D(unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId,
// const std::string& title="",
// const std::string& xtitle="",
// const std::string& ytitle="",
// const std::string& ztitle="");
//@}
/// @name 2D scatter booking
//@{
/// @brief Book a 2-dimensional data point set with the given name.
///
/// @note Unlike histogram booking, scatter booking by default makes no
/// attempt to use reference data to pre-fill the data object. If you want
/// this, which is sometimes useful e.g. when the x-position is not really
/// meaningful and can't be extracted from the data, then set the @a
/// copy_pts parameter to true. This creates points to match the reference
/// data's x values and errors, but with the y values and errors zeroed...
/// assuming that there is a reference histo with the same name: if there
/// isn't, an exception will be thrown.
Scatter2DPtr & book(Scatter2DPtr & s2d, const string& hname,
bool copy_pts=false,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
/// @brief Book a 2-dimensional data point set, using the binnings in the reference data histogram.
///
/// The paper, dataset and x/y-axis IDs will be used to build the histo name in the HepData standard way.
///
/// @note Unlike histogram booking, scatter booking by default makes no
/// attempt to use reference data to pre-fill the data object. If you want
/// this, which is sometimes useful e.g. when the x-position is not really
/// meaningful and can't be extracted from the data, then set the @a
/// copy_pts parameter to true. This creates points to match the reference
/// data's x values and errors, but with the y values and errors zeroed.
Scatter2DPtr & book(Scatter2DPtr & s2d, unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId,
bool copy_pts=false,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
/// @brief Book a 2-dimensional data point set with equally spaced x-points in a range.
///
/// The y values and errors will be set to 0.
Scatter2DPtr & book(Scatter2DPtr & s2d, const string& hname,
size_t npts, double lower, double upper,
const std::string& title="",
const std::string& xtitle="",
const std::string& ytitle="");
/// @brief Book a 2-dimensional data point set based on provided contiguous "bin edges".
///
/// The y values and errors will be set to 0.
Scatter2DPtr & book(Scatter2DPtr & s2d, const string& hname,
const std::vector<double>& binedges,
const std::string& title,
const std::string& xtitle,
const std::string& ytitle);
//@}
private:
/// to be used in finalize context only
class CounterAdapter {
public:
CounterAdapter(double x) : x_(x ) {}
CounterAdapter(const YODA::Counter & c) : x_(c.val() ) {}
// CounterAdapter(CounterPtr cp) : x_(cp->val() ) {}
CounterAdapter(const YODA::Scatter1D & s) : x_(s.points()[0].x()) {
assert( s.numPoints() == 1 || "Can only scale by a single value.");
}
// CounterAdapter(Scatter1DPtr sp) : x_(sp->points()[0].x()) {
// assert( sp->numPoints() == 1 || "Can only scale by a single value.");
// }
operator double() const { return x_; }
private:
double x_;
};
public:
double dbl(double x) { return x; }
double dbl(const YODA::Counter & c) { return c.val(); }
double dbl(const YODA::Scatter1D & s) {
assert( s.numPoints() == 1 );
return s.points()[0].x();
}
/// @name Analysis object manipulation
/// @todo Should really be protected: only public to keep BinnedHistogram happy for now...
//@{
/// Multiplicatively scale the given counter, @a cnt, by factor @s factor.
void scale(CounterPtr cnt, CounterAdapter factor);
/// Multiplicatively scale the given counters, @a cnts, by factor @s factor.
/// @note Constness intentional, if weird, to allow passing rvalue refs of smart ptrs (argh)
/// @todo Use SFINAE for a generic iterable of CounterPtrs
void scale(const std::vector<CounterPtr>& cnts, CounterAdapter factor) {
for (auto& c : cnts) scale(c, factor);
}
/// @todo YUCK!
template <std::size_t array_size>
void scale(const CounterPtr (&cnts)[array_size], CounterAdapter factor) {
// for (size_t i = 0; i < std::extent<decltype(cnts)>::value; ++i) scale(cnts[i], factor);
for (auto& c : cnts) scale(c, factor);
}
/// Normalize the given histogram, @a histo, to area = @a norm.
void normalize(Histo1DPtr histo, CounterAdapter norm=1.0, bool includeoverflows=true);
/// Normalize the given histograms, @a histos, to area = @a norm.
/// @note Constness intentional, if weird, to allow passing rvalue refs of smart ptrs (argh)
/// @todo Use SFINAE for a generic iterable of Histo1DPtrs
void normalize(const std::vector<Histo1DPtr>& histos, CounterAdapter norm=1.0, bool includeoverflows=true) {
for (auto& h : histos) normalize(h, norm, includeoverflows);
}
/// @todo YUCK!
template <std::size_t array_size>
void normalize(const Histo1DPtr (&histos)[array_size], CounterAdapter norm=1.0, bool includeoverflows=true) {
for (auto& h : histos) normalize(h, norm, includeoverflows);
}
/// Multiplicatively scale the given histogram, @a histo, by factor @s factor.
void scale(Histo1DPtr histo, CounterAdapter factor);
/// Multiplicatively scale the given histograms, @a histos, by factor @s factor.
/// @note Constness intentional, if weird, to allow passing rvalue refs of smart ptrs (argh)
/// @todo Use SFINAE for a generic iterable of Histo1DPtrs
void scale(const std::vector<Histo1DPtr>& histos, CounterAdapter factor) {
for (auto& h : histos) scale(h, factor);
}
/// @todo YUCK!
template <std::size_t array_size>
void scale(const Histo1DPtr (&histos)[array_size], CounterAdapter factor) {
for (auto& h : histos) scale(h, factor);
}
/// Normalize the given histogram, @a histo, to area = @a norm.
void normalize(Histo2DPtr histo, CounterAdapter norm=1.0, bool includeoverflows=true);
/// Normalize the given histograms, @a histos, to area = @a norm.
/// @note Constness intentional, if weird, to allow passing rvalue refs of smart ptrs (argh)
/// @todo Use SFINAE for a generic iterable of Histo2DPtrs
void normalize(const std::vector<Histo2DPtr>& histos, CounterAdapter norm=1.0, bool includeoverflows=true) {
for (auto& h : histos) normalize(h, norm, includeoverflows);
}
/// @todo YUCK!
template <std::size_t array_size>
void normalize(const Histo2DPtr (&histos)[array_size], CounterAdapter norm=1.0, bool includeoverflows=true) {
for (auto& h : histos) normalize(h, norm, includeoverflows);
}
/// Multiplicatively scale the given histogram, @a histo, by factor @s factor.
void scale(Histo2DPtr histo, CounterAdapter factor);
/// Multiplicatively scale the given histograms, @a histos, by factor @s factor.
/// @note Constness intentional, if weird, to allow passing rvalue refs of smart ptrs (argh)
/// @todo Use SFINAE for a generic iterable of Histo2DPtrs
void scale(const std::vector<Histo2DPtr>& histos, CounterAdapter factor) {
for (auto& h : histos) scale(h, factor);
}
/// @todo YUCK!
template <std::size_t array_size>
void scale(const Histo2DPtr (&histos)[array_size], CounterAdapter factor) {
for (auto& h : histos) scale(h, factor);
}
/// Helper for counter division.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void divide(CounterPtr c1, CounterPtr c2, Scatter1DPtr s) const;
/// Helper for histogram division with raw YODA objects.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void divide(const YODA::Counter& c1, const YODA::Counter& c2, Scatter1DPtr s) const;
/// Helper for histogram division.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void divide(Histo1DPtr h1, Histo1DPtr h2, Scatter2DPtr s) const;
/// Helper for histogram division with raw YODA objects.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void divide(const YODA::Histo1D& h1, const YODA::Histo1D& h2, Scatter2DPtr s) const;
/// Helper for profile histogram division.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void divide(Profile1DPtr p1, Profile1DPtr p2, Scatter2DPtr s) const;
/// Helper for profile histogram division with raw YODA objects.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void divide(const YODA::Profile1D& p1, const YODA::Profile1D& p2, Scatter2DPtr s) const;
/// Helper for 2D histogram division.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void divide(Histo2DPtr h1, Histo2DPtr h2, Scatter3DPtr s) const;
/// Helper for 2D histogram division with raw YODA objects.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void divide(const YODA::Histo2D& h1, const YODA::Histo2D& h2, Scatter3DPtr s) const;
/// Helper for 2D profile histogram division.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void divide(Profile2DPtr p1, Profile2DPtr p2, Scatter3DPtr s) const;
/// Helper for 2D profile histogram division with raw YODA objects
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void divide(const YODA::Profile2D& p1, const YODA::Profile2D& p2, Scatter3DPtr s) const;
/// Helper for histogram efficiency calculation.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void efficiency(Histo1DPtr h1, Histo1DPtr h2, Scatter2DPtr s) const;
/// Helper for histogram efficiency calculation.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void efficiency(const YODA::Histo1D& h1, const YODA::Histo1D& h2, Scatter2DPtr s) const;
/// Helper for histogram asymmetry calculation.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void asymm(Histo1DPtr h1, Histo1DPtr h2, Scatter2DPtr s) const;
/// Helper for histogram asymmetry calculation.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void asymm(const YODA::Histo1D& h1, const YODA::Histo1D& h2, Scatter2DPtr s) const;
/// Helper for converting a differential histo to an integral one.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void integrate(Histo1DPtr h, Scatter2DPtr s) const;
/// Helper for converting a differential histo to an integral one.
///
/// @note Assigns to the (already registered) output scatter, @a s. Preserves the path information of the target.
void integrate(const Histo1D& h, Scatter2DPtr s) const;
//@}
public:
/// List of registered analysis data objects
const vector<MultiweightAOPtr>& analysisObjects() const {
return _analysisobjects;
}
protected:
/// @name Data object registration, and removal
//@{
/// Register a data object in the histogram system
void addAnalysisObject(const MultiweightAOPtr & ao);
/// Unregister a data object from the histogram system (by name)
void removeAnalysisObject(const std::string& path);
/// Unregister a data object from the histogram system (by pointer)
void removeAnalysisObject(const MultiweightAOPtr & ao);
//@}
private:
/// Name passed to constructor (used to find .info analysis data file, and as a fallback)
string _defaultname;
/// Pointer to analysis metadata object
unique_ptr<AnalysisInfo> _info;
/// Storage of all plot objects
/// @todo Make this a map for fast lookup by path?
vector<MultiweightAOPtr> _analysisobjects;
/// @name Cross-section variables
//@{
double _crossSection;
//@}
/// The controlling AnalysisHandler object.
AnalysisHandler* _analysishandler;
/// Collection of cached refdata to speed up many autobookings: the
/// reference data file should only be read once.
mutable std::map<std::string, YODA::AnalysisObjectPtr> _refdata;
private:
/// @name Utility functions
//@{
/// Get the reference data for this paper and cache it.
void _cacheRefData() const;
//@}
/// The assignment operator is private and must never be called.
/// In fact, it should not even be implemented.
Analysis& operator=(const Analysis&);
};
}
// Include definition of analysis plugin system so that analyses automatically see it when including Analysis.hh
#include "Rivet/AnalysisBuilder.hh"
/// @def DECLARE_RIVET_PLUGIN
/// Preprocessor define to prettify the global-object plugin hook mechanism.
#define DECLARE_RIVET_PLUGIN(clsname) Rivet::AnalysisBuilder<clsname> plugin_ ## clsname
/// @def DECLARE_ALIASED_RIVET_PLUGIN
/// Preprocessor define to prettify the global-object plugin hook mechanism, with an extra alias name for this analysis.
// #define DECLARE_ALIASED_RIVET_PLUGIN(clsname, alias) Rivet::AnalysisBuilder<clsname> plugin_ ## clsname ## ( ## #alias ## )
#define DECLARE_ALIASED_RIVET_PLUGIN(clsname, alias) DECLARE_RIVET_PLUGIN(clsname)( #alias )
/// @def DEFAULT_RIVET_ANALYSIS_CONSTRUCTOR
/// Preprocessor define to prettify the manky constructor with name string argument
#define DEFAULT_RIVET_ANALYSIS_CONSTRUCTOR(clsname) clsname() : Analysis(# clsname) {}
/// @def DEFAULT_RIVET_ANALYSIS_CTOR
/// Slight abbreviation for DEFAULT_RIVET_ANALYSIS_CONSTRUCTOR
#define DEFAULT_RIVET_ANALYSIS_CTOR(clsname) DEFAULT_RIVET_ANALYSIS_CONSTRUCTOR(clsname)
#endif
diff --git a/include/Rivet/Jet.fhh b/include/Rivet/Jet.fhh
--- a/include/Rivet/Jet.fhh
+++ b/include/Rivet/Jet.fhh
@@ -1,46 +1,47 @@
// -*- C++ -*-
#ifndef RIVET_Jet_FHH
#define RIVET_Jet_FHH
#include "Rivet/Tools/RivetSTL.hh"
#include "Rivet/Tools/RivetFastJet.hh"
#include "Rivet/Math/Vectors.hh"
namespace Rivet {
/// @name Jet declarations
//@{
// Forward declaration
class Jet;
/// A collection of Jet objects.
class Jets : public std::vector<Jet> {
public:
using base = std::vector<Jet>; //< using-declarations don't like template syntax
using base::base; //< import base-class constructors
- /// Add copy constructor from vector<Jet>
+ /// Copy constructor from vector<Jet>
+ Jets(const std::vector<Jet>& vjs);
operator FourMomenta () const; //< implementation in Jet.cc
/// @todo Add conversion to PseudoJets
};
Jets operator + (const Jets& a, const Jets& b);
//@}
/// @name Jet function/functor declarations
//@{
/// std::function instantiation for functors taking a Jet and returning a bool
using JetSelector = function<bool(const Jet&)>;
/// std::function instantiation for functors taking two Jets and returning a bool
using JetSorter = function<bool(const Jet&, const Jet&)>;
//@}
}
#endif
diff --git a/include/Rivet/Makefile.am b/include/Rivet/Makefile.am
--- a/include/Rivet/Makefile.am
+++ b/include/Rivet/Makefile.am
@@ -1,158 +1,168 @@
## Internal headers - not to be installed
nobase_dist_noinst_HEADERS =
## Public headers - to be installed
nobase_pkginclude_HEADERS =
## Rivet interface
nobase_pkginclude_HEADERS += \
Rivet.hh \
Run.hh \
Event.hh \
ParticleBase.hh \
Particle.fhh Particle.hh \
Jet.fhh Jet.hh \
Projection.fhh Projection.hh \
ProjectionApplier.hh \
ProjectionHandler.hh \
Analysis.hh \
AnalysisHandler.hh \
AnalysisInfo.hh \
AnalysisBuilder.hh \
AnalysisLoader.hh
## Build config stuff
nobase_pkginclude_HEADERS += \
Config/RivetCommon.hh
## Projections
nobase_pkginclude_HEADERS += \
Projections/AxesDefinition.hh \
Projections/Beam.hh \
Projections/BeamThrust.hh \
Projections/CentralEtHCM.hh \
Projections/ChargedFinalState.hh \
Projections/ChargedLeptons.hh \
Projections/ConstLossyFinalState.hh \
+ Projections/DirectFinalState.hh \
Projections/DISFinalState.hh \
Projections/DISKinematics.hh \
Projections/DISLepton.hh \
Projections/DressedLeptons.hh \
Projections/FastJets.hh \
Projections/FinalPartons.hh \
Projections/FinalState.hh \
Projections/FoxWolframMoments.hh \
Projections/FParameter.hh \
Projections/HadronicFinalState.hh \
Projections/HeavyHadrons.hh \
Projections/Hemispheres.hh \
Projections/IdentifiedFinalState.hh \
+ Projections/IndirectFinalState.hh \
Projections/InitialQuarks.hh \
Projections/InvMassFinalState.hh \
Projections/JetAlg.hh \
Projections/JetShape.hh \
Projections/LeadingParticlesFinalState.hh \
Projections/LossyFinalState.hh \
Projections/MergedFinalState.hh \
Projections/MissingMomentum.hh \
Projections/NeutralFinalState.hh \
Projections/NonHadronicFinalState.hh \
Projections/NonPromptFinalState.hh \
Projections/ParisiTensor.hh \
Projections/ParticleFinder.hh \
Projections/PartonicTops.hh \
Projections/PrimaryHadrons.hh \
Projections/PromptFinalState.hh \
Projections/SmearedParticles.hh \
Projections/SmearedJets.hh \
Projections/SmearedMET.hh \
Projections/Sphericity.hh \
Projections/Spherocity.hh \
Projections/TauFinder.hh \
Projections/Thrust.hh \
Projections/TriggerCDFRun0Run1.hh \
Projections/TriggerCDFRun2.hh \
Projections/TriggerUA5.hh \
Projections/UnstableFinalState.hh \
Projections/VetoedFinalState.hh \
Projections/VisibleFinalState.hh \
Projections/WFinder.hh \
Projections/ZFinder.hh
## Meta-projection convenience headers
nobase_pkginclude_HEADERS += \
Projections/FinalStates.hh \
Projections/Smearing.hh
## Analysis base class headers
# TODO: Move to Rivet/AnalysisTools header dir?
nobase_pkginclude_HEADERS += \
Analyses/MC_ParticleAnalysis.hh \
Analyses/MC_JetAnalysis.hh \
Analyses/MC_JetSplittings.hh
## Tools
nobase_pkginclude_HEADERS += \
Tools/BeamConstraint.hh \
Tools/BinnedHistogram.hh \
Tools/CentralityBinner.hh \
Tools/Cmp.fhh \
Tools/Cmp.hh \
Tools/Cutflow.hh \
Tools/Cuts.fhh \
Tools/Cuts.hh \
Tools/Exceptions.hh \
Tools/JetUtils.hh \
Tools/Logging.hh \
Tools/Random.hh \
Tools/ParticleBaseUtils.hh \
Tools/ParticleIdUtils.hh \
Tools/ParticleUtils.hh \
Tools/ParticleName.hh \
Tools/PrettyPrint.hh \
Tools/RivetPaths.hh \
Tools/RivetSTL.hh \
Tools/RivetFastJet.hh \
Tools/RivetHepMC.hh \
Tools/RivetYODA.hh \
Tools/RivetMT2.hh \
Tools/SmearingFunctions.hh \
Tools/MomentumSmearingFunctions.hh \
Tools/ParticleSmearingFunctions.hh \
Tools/JetSmearingFunctions.hh \
Tools/TypeTraits.hh \
- Tools/Utils.hh
+ Tools/Utils.hh \
+ Tools/Nsubjettiness/AxesDefinition.hh \
+ Tools/Nsubjettiness/ExtraRecombiners.hh \
+ Tools/Nsubjettiness/MeasureDefinition.hh \
+ Tools/Nsubjettiness/Njettiness.hh \
+ Tools/Nsubjettiness/NjettinessPlugin.hh \
+ Tools/Nsubjettiness/Nsubjettiness.hh \
+ Tools/Nsubjettiness/TauComponents.hh \
+ Tools/Nsubjettiness/XConePlugin.hh
nobase_dist_noinst_HEADERS += \
Tools/osdir.hh
## Maths
nobase_pkginclude_HEADERS += \
Math/Matrices.hh \
Math/Vector3.hh \
Math/VectorN.hh \
Math/MatrixN.hh \
Math/MatrixDiag.hh \
Math/MathHeader.hh \
Math/Vectors.hh \
Math/LorentzTrans.hh \
Math/Matrix3.hh \
Math/MathUtils.hh \
Math/Vector4.hh \
Math/Math.hh \
Math/Units.hh \
Math/Constants.hh \
Math/eigen/util.h \
Math/eigen/regressioninternal.h \
Math/eigen/regression.h \
Math/eigen/vector.h \
Math/eigen/ludecompositionbase.h \
Math/eigen/ludecomposition.h \
Math/eigen/linearsolver.h \
Math/eigen/linearsolverbase.h \
Math/eigen/matrix.h \
Math/eigen/vectorbase.h \
Math/eigen/projective.h \
Math/eigen/matrixbase.h
diff --git a/include/Rivet/Particle.fhh b/include/Rivet/Particle.fhh
--- a/include/Rivet/Particle.fhh
+++ b/include/Rivet/Particle.fhh
@@ -1,64 +1,65 @@
// -*- C++ -*-
#ifndef RIVET_Particle_FHH
#define RIVET_Particle_FHH
#include "Rivet/Tools/RivetSTL.hh"
#include "Rivet/Math/Vectors.hh"
namespace Rivet {
/// @name Particle declarations
//@{
// Forward declaration
class Particle;
/// Typedefs for a vector of Particle objects.
class Particles : public std::vector<Particle> {
public:
using base = std::vector<Particle>; //< using-declarations don't like template syntax
using base::base; //< import base-class constructors
- /// Add copy constructor from vector<Particle>
+ /// Copy constructor from vector<Particle>
+ Particles(const std::vector<Particle>& vps);
operator FourMomenta () const; //< implementation in Particle.cc
/// @todo Add conversion to PseudoJets?
};
Particles operator + (const Particles& a, const Particles& b);
/// @deprecated Old name: use Particles instead. Will be removed
typedef Particles ParticleVector;
/// Typedef for a pair of Particle objects.
typedef std::pair<Particle, Particle> ParticlePair;
//@}
/// @name Particle function/functor declarations
//@{
/// std::function instantiation for functors taking a Particle and returning a bool
using ParticleSelector = function<bool(const Particle&)>;
/// std::function instantiation for functors taking two Particles and returning a bool
using ParticleSorter = function<bool(const Particle&, const Particle&)>;
//@}
/// @name PdgId declarations
//@{
/// Typedefs for a PDG ID code.
typedef int PdgId;
//typedef PdgId PID; //< can't do this, because it's also a (sub)namespace
/// Typedef for a pair of particle names.
typedef std::pair<PdgId, PdgId> PdgIdPair;
//@}
}
#endif
diff --git a/include/Rivet/ProjectionApplier.hh b/include/Rivet/ProjectionApplier.hh
--- a/include/Rivet/ProjectionApplier.hh
+++ b/include/Rivet/ProjectionApplier.hh
@@ -1,199 +1,205 @@
// -*- C++ -*-
#ifndef RIVET_ProjectionApplier_HH
#define RIVET_ProjectionApplier_HH
#include "Rivet/Config/RivetCommon.hh"
#include "Rivet/Projection.fhh"
#include "Rivet/ProjectionHandler.hh"
#include "Rivet/Tools/Logging.hh"
namespace Rivet {
// Forward declarations
class Event;
/// @brief Common base class for Projection and Analysis, used for internal polymorphism
///
/// Empty interface used for storing Projection and Analysis pointers in the
/// same container (used by the ProjectionHandler)
class ProjectionApplier {
public:
// The proj handler needs access to reset the _allowProjReg flag before calling a.init()
// friend class ProjectionHandler;
/// Constructor
ProjectionApplier();
// Virtual destructor: ensure that inheritance is possible.
virtual ~ProjectionApplier();
/// @name Metadata functions
//@{
/// Get the name of this Projection or Analysis class
virtual std::string name() const = 0;
//@}
/// @name Projection "getting" functions
//@{
+
/// Get the contained projections, including recursion.
std::set<ConstProjectionPtr> getProjections() const {
return getProjHandler().getChildProjections(*this, ProjectionHandler::DEEP);
}
+ /// Does this applier have a projection registered under the name @a name?
+ bool hasProjection(const std::string& name) const {
+ return getProjHandler().hasProjection(*this, name);
+ }
+
/// Get the named projection, specifying return type via a template argument.
/// @todo Add SFINAE to require that PROJ inherit from Projection
template <typename PROJ>
const PROJ& getProjection(const std::string& name) const {
const Projection& p = getProjHandler().getProjection(*this, name);
return pcast<PROJ>(p);
}
/// Get the named projection, specifying return type via a template argument (user-facing alias).
/// @todo Add SFINAE to require that PROJ inherit from Projection
template <typename PROJ>
const PROJ& get(const std::string& name) const { return getProjection<PROJ>(name); }
/// Get the named projection (non-templated, so returns as a reference to a
/// Projection base class).
const Projection& getProjection(const std::string& name) const {
return getProjHandler().getProjection(*this, name);
}
//@}
/// @name Projection applying functions
//@{
/// Apply the supplied projection on event @a evt.
template <typename PROJ>
/// @todo Add SFINAE to require that PROJ inherit from Projection
const PROJ& applyProjection(const Event& evt, const Projection& proj) const {
return pcast<PROJ>(_applyProjection(evt, proj));
}
/// Apply the supplied projection on event @a evt (user-facing alias).
/// @todo Add SFINAE to require that PROJ inherit from Projection
template <typename PROJ>
const PROJ& apply(const Event& evt, const Projection& proj) const { return applyProjection<PROJ>(evt, proj); }
/// Apply the supplied projection on event @a evt.
template <typename PROJ>
/// @todo Add SFINAE to require that PROJ inherit from Projection
const PROJ& applyProjection(const Event& evt, const PROJ& proj) const {
return pcast<PROJ>(_applyProjection(evt, proj));
}
/// Apply the supplied projection on event @a evt (user-facing alias).
/// @todo Add SFINAE to require that PROJ inherit from Projection
template <typename PROJ>
const PROJ& apply(const Event& evt, const PROJ& proj) const { return applyProjection<PROJ>(evt, proj); }
/// Apply the named projection on event @a evt.
/// @todo Add SFINAE to require that PROJ inherit from Projection
template <typename PROJ>
const PROJ& applyProjection(const Event& evt, const std::string& name) const {
return pcast<PROJ>(_applyProjection(evt, name));
}
/// Apply the supplied projection on event @a evt (user-facing alias).
/// @todo Add SFINAE to require that PROJ inherit from Projection
template <typename PROJ>
const PROJ& apply(const Event& evt, const std::string& name) const { return applyProjection<PROJ>(evt, name); }
/// Apply the supplied projection on event @a evt (convenience arg-reordering alias).
/// @todo Add SFINAE to require that PROJ inherit from Projection
template <typename PROJ>
const PROJ& apply(const std::string& name, const Event& evt) const { return applyProjection<PROJ>(evt, name); }
//@}
/// Mark this object as owned by a proj-handler
void markAsOwned() const { _owned = true; }
protected:
Log& getLog() const {
return Log::getLog("Rivet.ProjectionHandler");
}
/// Get a reference to the ProjectionHandler for this thread.
ProjectionHandler& getProjHandler() const {
return _projhandler;
}
/// @name Projection registration functions
//@{
/// @brief Register a contained projection
///
/// The type of the argument is used to instantiate a new projection
/// internally: this new object is applied to events rather than the
/// argument object. Hence you are advised to only use locally-scoped
/// Projection objects in your Projection and Analysis constructors, and to
/// avoid polymorphism (e.g. handling @c ConcreteProjection via a pointer or
/// reference to type @c Projection) since this will screw up the internal
/// type management.
///
/// @todo Add SFINAE to require that PROJ inherit from Projection
template <typename PROJ>
const PROJ& declareProjection(const PROJ& proj, const std::string& name) {
const Projection& reg = _declareProjection(proj, name);
const PROJ& rtn = dynamic_cast<const PROJ&>(reg);
return rtn;
}
/// @brief Register a contained projection (user-facing version)
/// @todo Add SFINAE to require that PROJ inherit from Projection
template <typename PROJ>
const PROJ& declare(const PROJ& proj, const std::string& name) { return declareProjection(proj, name); }
/// @brief Register a contained projection (user-facing, arg-reordered version)
/// @todo Add SFINAE to require that PROJ inherit from Projection
template <typename PROJ>
const PROJ& declare(const std::string& name, const PROJ& proj) { return declareProjection(proj, name); }
/// @brief Register a contained projection (user-facing version)
/// @deprecated Use declareProjection() or declare()
/// @todo Add SFINAE to require that PROJ inherit from Projection
template <typename PROJ>
const PROJ& addProjection(const PROJ& proj, const std::string& name) { return declareProjection(proj, name); }
/// Untemplated function to do the work...
const Projection& _declareProjection(const Projection& proj, const std::string& name);
//@}
/// Non-templated version of string-based applyProjection, to work around
/// header dependency issue.
const Projection& _applyProjection(const Event& evt, const std::string& name) const;
/// Non-templated version of proj-based applyProjection, to work around
/// header dependency issue.
const Projection& _applyProjection(const Event& evt, const Projection& proj) const;
/// Flag to forbid projection registration in analyses until the init phase
bool _allowProjReg;
private:
/// Mark object as owned by the _projhandler
mutable bool _owned;
/// Pointer to projection handler.
ProjectionHandler& _projhandler;
};
}
#endif
diff --git a/include/Rivet/ProjectionHandler.hh b/include/Rivet/ProjectionHandler.hh
--- a/include/Rivet/ProjectionHandler.hh
+++ b/include/Rivet/ProjectionHandler.hh
@@ -1,187 +1,190 @@
// -*- C++ -*-
#ifndef RIVET_ProjectionHandler_HH
#define RIVET_ProjectionHandler_HH
#include "Rivet/Config/RivetCommon.hh"
#include "Rivet/Projection.fhh"
namespace Rivet {
/// Typedef for Projection (smart) pointer
typedef std::shared_ptr<const Projection> ProjHandle;
// Forward declaration.
class ProjectionApplier;
/// @brief The projection handler is a central repository for projections to be used
/// in a Rivet analysis run.
///
/// Without centralised projections, it can be hard to know which of an
/// equivalent set of projections will be run on a particular event. In turn,
/// this may mean that certain projections in the chain can go out of scope
/// unexpectedly. There were originally also the issues that projections may
/// need to be held as member pointers to an abstract base class, since
/// post-construction setup is needed; that projections contained pointers to
/// their own dependency chain, which could go out of scope; and that
/// projection members could be modified after being applied to an event
/// which, due to the caching model, would have unpredictable consequences.
///
/// By centralising all the projections, these issues are eliminated, as well
/// as allowing analysis classes to contain fewer data members (since
/// projections are now better accessed by name than by storing a data member
/// reference or pointer).
///
/// The core of the ProjectionHandler design is that it is a singleton class,
/// essentially a wrapper around a map of @c Projection*, indexed by a hash of
/// the registering object and its local name for the registered projection.
///
class ProjectionHandler {
public:
/// ProjectionApplier's destructor needs to trigger cleaning up the proj handler repo
friend class ProjectionApplier;
/// Typedef for a vector of Projection pointers.
typedef set<ProjHandle> ProjHandles;
/// @brief Typedef for the structure used to contain named projections for a
/// particular containing Analysis or Projection.
typedef map<string, ProjHandle> NamedProjs;
/// Enum to specify depth of projection search.
enum ProjDepth { SHALLOW, DEEP };
private:
/// Structure used to map a containing Analysis or Projection to its set of
/// contained projections.
typedef map<const ProjectionApplier*, NamedProjs> NamedProjsMap;
/// Core data member, associating a given containing class (via a
/// ProjectionApplier pointer) to its contained projections.
NamedProjsMap _namedprojs;
/// Cache of {@link Projection}s for reverse lookup, to speed up registering
/// new projections as @c _namedprojs gets large.
ProjHandles _projs;
private:
/// @name Construction. */
//@{
/// Private destructor means no inheritance from this class.
~ProjectionHandler() = default;
/// The assignment operator is hidden.
ProjectionHandler& operator = (const ProjectionHandler&) = delete;
/// The copy constructor is hidden.
ProjectionHandler(const ProjectionHandler&) = delete;
/// The standard constructor.
ProjectionHandler() = default;
//@}
public:
/// Singleton creation function
static ProjectionHandler& getInstance() {
static ProjectionHandler _instance;
return _instance;
}
public:
/// @name Projection registration
//@{
/// Attach and retrieve a projection as a reference.
const Projection& registerProjection(const ProjectionApplier& parent,
const Projection& proj,
const string& name);
//@}
private:
/// @name Projection registration internal helpers
//@{
/// Try to get an equivalent projection from the system
/// @returns 0 if no equivalent projection found
ProjHandle _getEquiv(const Projection& proj) const;
/// Make a clone of proj, copying across child references from the original
unique_ptr<Projection> _clone(const Projection& proj);
/// Internal function to do the registering
const Projection& _register(const ProjectionApplier& parent,
ProjHandle proj,
const string& name);
/// Get a string dump of the current ProjHandler structure
string _getStatus() const;
/// Check that this parent projection doesn't already use this name
bool _checkDuplicate(const ProjectionApplier& parent,
const Projection& proj,
const string& name) const;
//@}
public:
/// @name Projection retrieval. */
//@{
+ /// Check if there is a @a name projection registered by @a parent
+ bool hasProjection(const ProjectionApplier& parent, const string& name) const;
+
/// Retrieve a named projection for the given parent. Returning as a
/// reference is partly to discourage ProjectionApplier classes from storing
/// pointer members to the registered projections, since that can lead to
/// problems and there is no need to do so.
const Projection& getProjection(const ProjectionApplier& parent,
const string& name) const;
/// Get child projections for the given parent. By default this will just
/// return the projections directly contained by the @a parent, but the @a
/// depth argument can be changed to do a deep retrieval, which will recurse
/// through the whole projection chain. In this case, there is no protection
/// against getting stuck in a circular projection dependency loop.
set<const Projection*> getChildProjections(const ProjectionApplier& parent,
ProjDepth depth=SHALLOW) const;
//@}
private:
/// Remove a ProjectionApplier: designed to only be called by ~ProjectionApplier (as a friend)
void removeProjectionApplier(ProjectionApplier& parent);
private:
// /// Get map of named projections belonging to @a parent.
// /// Throws an exception if @a parent has not got any registered projections.
// const NamedProjs& namedProjs(const ProjectionApplier* parent) const {
// NamedProjsMap::const_iterator nps = _namedprojs.find(parent);
// if (nps == _namedprojs.end()) {
// stringstream ss;
// ss << "No NamedProjs registered for parent " << parent;
// throw Error(ss.str());
// }
// return *nps;
// }
};
}
#endif
diff --git a/include/Rivet/Projections/DirectFinalState.hh b/include/Rivet/Projections/DirectFinalState.hh
new file mode 100644
--- /dev/null
+++ b/include/Rivet/Projections/DirectFinalState.hh
@@ -0,0 +1,14 @@
+// -*- C++ -*-
+#ifndef RIVET_DirectFinalState_HH
+#define RIVET_DirectFinalState_HH
+
+#include "Rivet/Projections/PromptFinalState.hh"
+
+namespace Rivet {
+
+ /// Alias with a more correct name
+ using DirectFinalState = PromptFinalState;
+
+}
+
+#endif
diff --git a/include/Rivet/Projections/FinalState.hh b/include/Rivet/Projections/FinalState.hh
--- a/include/Rivet/Projections/FinalState.hh
+++ b/include/Rivet/Projections/FinalState.hh
@@ -1,56 +1,56 @@
// -*- C++ -*-
#ifndef RIVET_FinalState_HH
#define RIVET_FinalState_HH
#include "Rivet/Projections/ParticleFinder.hh"
namespace Rivet {
/// @brief Project out all final-state particles in an event.
/// Probably the most important projection in Rivet!
class FinalState : public ParticleFinder {
public:
/// @name Standard constructors etc.
//@{
/// Construction using Cuts object
FinalState(const Cut& c=Cuts::open());
- // /// Construction using Cuts object and another FinalState
- // FinalState(const Cut& c=Cuts::open(), const FinalState& fsp=FinalState());
+ /// Construction using another FinalState and a Cuts object
+ FinalState(const FinalState& fsp, const Cut& c);
/// Old constructor with numeric cut arguments, retained for compatibility
/// @deprecated Use the versions with Cut arguments
FinalState(double mineta, double maxeta, double minpt=0.0*GeV);
/// Clone on the heap.
DEFAULT_RIVET_PROJ_CLONE(FinalState);
//@}
/// Apply the projection to the event.
virtual void project(const Event& e);
/// Compare projections.
virtual int compare(const Projection& p) const;
/// Decide if a particle is to be accepted or not.
/// @todo Rename to _accept or acceptFinal?
virtual bool accept(const Particle& p) const;
private:
// Hide lossy copy constructors for all classes derived from FinalState
template<typename T> FinalState(const T& rhs);
template<typename T> FinalState const& operator=(T const& rhs);
};
}
#endif
diff --git a/include/Rivet/Projections/IndirectFinalState.hh b/include/Rivet/Projections/IndirectFinalState.hh
new file mode 100644
--- /dev/null
+++ b/include/Rivet/Projections/IndirectFinalState.hh
@@ -0,0 +1,14 @@
+// -*- C++ -*-
+#ifndef RIVET_IdnirectFinalState_HH
+#define RIVET_IndirectFinalState_HH
+
+#include "Rivet/Projections/NonPromptFinalState.hh"
+
+namespace Rivet {
+
+ /// Alias with a more correct name
+ using IndirectFinalState = NonPromptFinalState;
+
+}
+
+#endif
diff --git a/include/Rivet/Projections/PartonicTops.hh b/include/Rivet/Projections/PartonicTops.hh
--- a/include/Rivet/Projections/PartonicTops.hh
+++ b/include/Rivet/Projections/PartonicTops.hh
@@ -1,113 +1,107 @@
// -*- C++ -*-
#ifndef RIVET_PartonicTops_HH
#define RIVET_PartonicTops_HH
#include "Rivet/Projections/ParticleFinder.hh"
namespace Rivet {
/// @brief Convenience finder of partonic top quarks
///
/// @warning Requires there to be tops in the event record. A fiducial pseudo-top
/// analysis approach is strongly recommended instead of this.
class PartonicTops : public ParticleFinder {
public:
/// @brief Enum for categorising top quark decay modes
///
/// More specifically, the decay mode of the W from the top. We presume top decay to a W and b quark.
enum DecayMode { ALL = 0, ANY = 0, ELECTRON, MUON, TAU, E_MU, E_MU_TAU, HADRONIC };
/// @name Constructors
//@{
/// Constructor optionally taking cuts object
PartonicTops(const Cut& c=Cuts::OPEN)
: ParticleFinder(c), _decaymode(ALL), _emu_from_prompt_tau(true), _include_hadronic_taus(false)
{ }
/// Constructor taking decay mode details (and an optional cuts object)
PartonicTops(DecayMode decaymode, bool emu_from_prompt_tau=true, bool include_hadronic_taus=false, const Cut& c=Cuts::OPEN)
: ParticleFinder(c), _decaymode(decaymode),
_emu_from_prompt_tau(emu_from_prompt_tau), _include_hadronic_taus(include_hadronic_taus)
{ }
/// Constructor taking decay mode details (and an optional cuts object)
PartonicTops(DecayMode decaymode, const Cut& c, bool emu_from_prompt_tau=true, bool include_hadronic_taus=false)
: ParticleFinder(c), _decaymode(decaymode),
_emu_from_prompt_tau(emu_from_prompt_tau), _include_hadronic_taus(include_hadronic_taus)
{ }
/// Clone on the heap.
DEFAULT_RIVET_PROJ_CLONE(PartonicTops);
//@}
/// Access to the found partonic tops
const Particles& tops() const { return _theParticles; }
/// Clear the projection
void clear() {
_theParticles.clear();
}
protected:
/// Apply the projection on the supplied event.
void project(const Event& event) {
// Find partonic tops
_theParticles = filter_select(event.allParticles(_cuts), lastParticleWith(isTop));
// Filtering by decay mode
if (_decaymode != ALL) {
const auto fn = [&](const Particle& t) {
const Particles descendants = t.allDescendants();
- const bool prompt_e = any(descendants, [&](const Particle& p){ return p.abspid() == PID::ELECTRON && p.isPrompt(_emu_from_prompt_tau) && !p.hasAncestor(PID::PHOTON); });
- const bool prompt_mu = any(descendants, [&](const Particle& p){ return p.abspid() == PID::MUON && p.isPrompt(_emu_from_prompt_tau) && !p.hasAncestor(PID::PHOTON); });
- // const bool prompt_e = any(descendants, [&](const Particle& p){ bool x = p.abspid() == PID::ELECTRON && p.isPrompt(_emu_from_prompt_tau) && !p.hasAncestor(PID::PHOTON);
- // if (p.hasAncestor(PID::PHOTON)) MSG_WARNING("Top decay electron with photon ancestor");
- // return x; });
- // const bool prompt_mu = any(descendants, [&](const Particle& p){ bool x = p.abspid() == PID::MUON && p.isPrompt(_emu_from_prompt_tau) && !p.hasAncestor(PID::PHOTON);
- // if (p.hasAncestor(PID::PHOTON)) MSG_WARNING("Top decay muon with photon ancestor");
- // return x; });
+ const bool prompt_e = any(descendants, [&](const Particle& p){ return p.abspid() == PID::ELECTRON && p.isPrompt(_emu_from_prompt_tau) && !p.hasAncestor(PID::PHOTON, false); });
+ const bool prompt_mu = any(descendants, [&](const Particle& p){ return p.abspid() == PID::MUON && p.isPrompt(_emu_from_prompt_tau) && !p.hasAncestor(PID::PHOTON, false); });
if (prompt_e && (_decaymode == ELECTRON || _decaymode == E_MU || _decaymode == E_MU_TAU)) return true;
if (prompt_mu && (_decaymode == MUON || _decaymode == E_MU || _decaymode == E_MU_TAU)) return true;
- const bool prompt_tau = any(descendants, [&](const Particle& p){ return p.abspid() == PID::TAU && p.isPrompt(); });
- const bool prompt_hadronic_tau = any(descendants, [&](const Particle& p){ return p.abspid() == PID::TAU && p.isPrompt() && none(p.children(), isChargedLepton); });
+ const bool prompt_tau = any(descendants, [&](const Particle& p){ return p.abspid() == PID::TAU && p.isPrompt() && !p.hasAncestor(PID::PHOTON, false); });
+ const bool prompt_hadronic_tau = any(descendants, [&](const Particle& p){ return p.abspid() == PID::TAU && p.isPrompt() && !p.hasAncestor(PID::PHOTON, false) && none(p.children(), isChargedLepton); });
if (prompt_tau && (_decaymode == TAU || _decaymode == E_MU_TAU)) return (_include_hadronic_taus || !prompt_hadronic_tau);
if (_decaymode == HADRONIC && (!prompt_e && !prompt_mu && (!prompt_tau || (_include_hadronic_taus && prompt_hadronic_tau)))) return true; //< logical hairiness...
return false;
};
ifilter_select(_theParticles, fn);
}
}
/// Compare projections.
int compare(const Projection& p) const {
const PartonicTops& other = dynamic_cast<const PartonicTops&>(p);
return cmp(_cuts, other._cuts) || cmp(_decaymode, other._decaymode) ||
cmp(_emu_from_prompt_tau, other._emu_from_prompt_tau) ||
cmp(_include_hadronic_taus, other._include_hadronic_taus);
}
private:
DecayMode _decaymode;
bool _emu_from_prompt_tau, _include_hadronic_taus;
};
}
#endif
diff --git a/include/Rivet/Projections/WFinder.hh b/include/Rivet/Projections/WFinder.hh
--- a/include/Rivet/Projections/WFinder.hh
+++ b/include/Rivet/Projections/WFinder.hh
@@ -1,176 +1,179 @@
// -*- C++ -*-
#ifndef RIVET_WFinder_HH
#define RIVET_WFinder_HH
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/MissingMomentum.hh"
#include "Rivet/Projections/VetoedFinalState.hh"
namespace Rivet {
/// @brief Convenience finder of leptonically decaying W
///
/// Chain together different projections as convenience for finding one W
/// from one lepton and the missing E 4-vector in the final state, including photon clustering.
class WFinder : public ParticleFinder {
public:
enum ChargedLeptons { PROMPTCHLEPTONS=0, ALLCHLEPTONS };
enum ClusterPhotons { NOCLUSTER=0, CLUSTERNODECAY=1, CLUSTERALL };
enum PhotonTracking { NOTRACK=0, TRACK=1 };
enum MassWindow { MASS=0, TRANSMASS=1 };
/// @name Constructors
//@{
/// Constructor taking cuts object
/// @param inputfs Input final state
/// @param leptoncuts Charged lepton cuts
/// @param pid Type of the charged lepton
/// @param minmass,maxmass (Transverse) mass window
/// @param missingET Minimal amount of missing ET (neutrinos) required
/// @param dRmax Maximum dR of photons around charged lepton to take into account
/// for W reconstruction (only relevant if one of the following are true)
/// @param chLeptons Only use prompt charged leptons, or any charged leptons?
/// @param clusterPhotons Whether such photons are supposed to be
/// clustered to the lepton object and thus W mom
/// @param trackPhotons Whether such photons should be added to _theParticles
/// @param masstype Whether mass window should be applied using m or mT
///
/// @todo Revisit NOTRACK as default?
WFinder(const FinalState& inputfs,
const Cut& leptoncuts,
PdgId pid,
double minmass, double maxmass,
double missingET,
double dRmax=0.1,
ChargedLeptons chLeptons=PROMPTCHLEPTONS,
ClusterPhotons clusterPhotons=CLUSTERNODECAY,
PhotonTracking trackPhotons=NOTRACK,
MassWindow masstype=MASS,
double masstarget=80.4*GeV);
/// Backward-compatible constructor with implicit chLeptons mode = PROMPTCHLEPTONS
/// @deprecated Remove this and always use the constructor with chLeptons argument.
WFinder(const FinalState& inputfs,
const Cut& leptoncuts,
PdgId pid,
double minmass, double maxmass,
double missingET,
double dRmax,
ClusterPhotons clusterPhotons,
PhotonTracking trackPhotons=NOTRACK,
MassWindow masstype=MASS,
double masstarget=80.4*GeV)
: WFinder(inputfs, leptoncuts, pid, minmass, maxmass, missingET,
dRmax, PROMPTCHLEPTONS, clusterPhotons, trackPhotons, masstype, masstarget)
{ }
// /// Constructor with more convenient argument ordering and default args
// ///
// /// @todo Revisit NOTRACK as default?
// WFinder(const FinalState& inputfs,
// const Cut& leptoncuts,
// PdgId pid,
// double minmass, double maxmass,
// double missingET,
// MassWindow masstype,
// double masstarget=80.4*GeV,
// ClusterPhotons clusterPhotons=CLUSTERNODECAY,
// double dRmax=0.1,
// PhotonTracking trackPhotons=NOTRACK)
// : WFinder(inputfs, leptoncuts, pid, minmass, maxmass, missingET,
// dRmax, clusterPhotons, trackPhotons, masstype, masstarget)
// { }
/// Clone on the heap.
DEFAULT_RIVET_PROJ_CLONE(WFinder);
//@}
/// @brief Access to the found bosons, equivalent to constituents()
/// @note Currently either 0 or 1 boson can be found.
const Particles& bosons() const { return particles(); }
/// Access to the found boson (assuming it exists)
/// @todo C++17 std::optional...
const Particle& boson() const { return particles().front(); }
/// @brief Access to the Ws' constituent clustered leptons
/// @note Either size 0 if no boson was found or 1 if one boson was found
- const Particles constituentLeptons() const;
+ const Particles& constituentLeptons() const { return _leptons; }
/// brief Access to the W's constituent clustered lepton (assuming it exists)
/// @todo C++17 std::optional...
- const Particle constituentLepton() const { return constituentLeptons().front(); }
+ const Particle& constituentLepton() const { return _leptons.front(); }
/// Access to the Ws' constituent neutrinos
///
/// @note Either size 0 if no boson was found or 1 if one boson was found
/// @note The neutrino can't be perfecly reconstructed -- this is a pseudo-nu from the MET.
- const Particles constituentNeutrinos() const;
+ const Particles& constituentNeutrinos() const { return _neutrinos; }
/// Access to the W's constituent neutrino (assuming it exists)
/// @note The neutrino can't be perfecly reconstructed -- this is a pseudo-nu from the MET.
- const Particle constituentNeutrino() const { return constituentNeutrinos().front(); }
+ const Particle& constituentNeutrino() const { return _neutrinos.front(); }
/// Access to the particles other than the W leptons and clustered photons
///
/// Useful for e.g. input to a jet finder
const VetoedFinalState& remainingFinalState() const;
/// Access to the missing momentum projection used to find the "neutrino"
const MissingMomentum& missingMom() const;
/// @brief Calculate the transverse mass of the W, from the charged lepton and neutrino
///
/// Defined as sqrt(2 pT_l pT_nu (1.0 - cos(dphi_lnu))). Return -1 if no boson found.
double mT() const {
if (bosons().empty()) return -1;
return Rivet::mT(constituentLepton().mom(), constituentNeutrino().mom());
}
protected:
/// Apply the projection on the supplied event.
void project(const Event& e);
/// Compare projections.
int compare(const Projection& p) const;
public:
/// Clear the projection
void clear() { _theParticles.clear(); }
private:
/// (Transverse) mass cuts
double _minmass, _maxmass, _masstarget;
/// Use transverse or complete mass?
bool _useTransverseMass;
/// Missing ET cut
double _etMissMin;
/// Switch for tracking of photons (whether to include them in the W particle)
/// This is relevant when the clustered photons need to be excluded from e.g. a jet finder
PhotonTracking _trackPhotons;
/// Charged lepton flavour
PdgId _pid;
+ /// Result caches. Will be filled by project()
+ Particles _leptons, _neutrinos;
+
};
}
#endif
diff --git a/include/Rivet/Projections/ZFinder.hh b/include/Rivet/Projections/ZFinder.hh
--- a/include/Rivet/Projections/ZFinder.hh
+++ b/include/Rivet/Projections/ZFinder.hh
@@ -1,138 +1,124 @@
// -*- C++ -*-
#ifndef RIVET_ZFinder_HH
#define RIVET_ZFinder_HH
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/DressedLeptons.hh"
#include "Rivet/Projections/VetoedFinalState.hh"
namespace Rivet {
/// @brief Convenience finder of leptonically decaying Zs
///
/// Chain together different projections as convenience for finding Z's
/// from two leptons in the final state, including photon clustering.
///
/// @todo Alias then rename as Dileptons
class ZFinder : public ParticleFinder {
public:
enum ChargedLeptons { PROMPTCHLEPTONS=0, ALLCHLEPTONS };
enum ClusterPhotons { NOCLUSTER=0, CLUSTERNODECAY=1, CLUSTERALL };
enum PhotonTracking { NOTRACK=0, TRACK=1 };
/// @name Constructors
//@{
/// Constructor taking cuts object
/// @param inputfs Input final state
/// @param cuts lepton cuts
/// @param pid type of the leptons
/// @param minmass,maxmass mass window
/// @param dRmax maximum dR of photons around leptons to take into account
/// for Z reconstruction (only relevant if one of the following are true)
/// @param clusterPhotons whether such photons are supposed to be
/// clustered to the lepton objects and thus Z mom
/// @param trackPhotons whether such photons should be added to _theParticles
/// (cf. _trackPhotons)
ZFinder(const FinalState& inputfs,
const Cut& cuts,
PdgId pid,
double minmass, double maxmass,
double dRmax=0.1,
ChargedLeptons chLeptons=PROMPTCHLEPTONS,
ClusterPhotons clusterPhotons=CLUSTERNODECAY,
PhotonTracking trackPhotons=NOTRACK,
double masstarget=91.2*GeV);
/// Backward-compatible constructor with implicit chLeptons mode = PROMPTCHLEPTONS
/// @deprecated Remove this and always use the constructor with chLeptons argument.
ZFinder(const FinalState& inputfs,
const Cut& cuts,
PdgId pid,
double minmass, double maxmass,
double dRmax,
ClusterPhotons clusterPhotons,
PhotonTracking trackPhotons=NOTRACK,
double masstarget=91.2*GeV)
: ZFinder(inputfs, cuts, pid, minmass, maxmass,
dRmax, PROMPTCHLEPTONS, clusterPhotons, trackPhotons, masstarget)
{ }
/// Clone on the heap.
DEFAULT_RIVET_PROJ_CLONE(ZFinder);
//@}
/// Access to the found bosons
///
/// @note Currently either 0 or 1 boson can be found.
const Particles& bosons() const { return particles(); }
/// Access to the found boson (assuming it exists).
- const Particle boson() const { return bosons().front(); }
+ const Particle& boson() const { return bosons().front(); }
/// Access to the Z constituent clustered leptons
///
/// For example, to make more fine-grained cuts on the clustered leptons.
/// The positive charge constituent is first in the list (if not empty), and
/// the negative one second.
- Particles constituentLeptons() const;
- Particles constituents() const { return constituentLeptons(); }
-
-
- /// Access to the Z constituent clustered leptons, sorted by a comparison functor
- ///
- /// Unlike the no-arg version, this returns by value (i.e. is less efficient)
- Particles constituentLeptons(const ParticleSorter& cmp) const;
- Particles constituents(const ParticleSorter& cmp) const { return constituentLeptons(cmp); }
-
-
- // /// Access to all DressedLeptons in the fiducial region.
- // ///
- // /// This includes those DressedLeptons that could not
- // /// be paired up with any other DressedLepton to form a Z candidate.
- // const vector<DressedLepton>& allLeptons() const { return _allLeptons; }
+ const Particles & constituentLeptons() const;
+ const Particles & constituents() const { return constituentLeptons(); }
/// Access to the particles other than the Z leptons and clustered photons
///
/// Useful for e.g. input to a jet finder
const VetoedFinalState& remainingFinalState() const;
protected:
/// Apply the projection on the supplied event.
void project(const Event& e);
/// Compare projections.
int compare(const Projection& p) const;
public:
/// Clear the projection
void clear() { _theParticles.clear(); }
private:
/// Mass cuts to apply to clustered leptons (cf. InvMassFinalState)
double _minmass, _maxmass, _masstarget;
/// Switch for tracking of photons (whether to include them in the Z particle)
/// This is relevant when the clustered photons need to be excluded from e.g. a jet finder
PhotonTracking _trackPhotons;
/// Lepton flavour
PdgId _pid;
};
}
#endif
diff --git a/include/Rivet/Tools/Nsubjettiness/AxesDefinition.hh b/include/Rivet/Tools/Nsubjettiness/AxesDefinition.hh
new file mode 100644
--- /dev/null
+++ b/include/Rivet/Tools/Nsubjettiness/AxesDefinition.hh
@@ -0,0 +1,1282 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: AxesDefinition.hh 833 2015-07-23 14:35:23Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#ifndef __FASTJET_CONTRIB_AXES_DEFINITION_HH__
+#define __FASTJET_CONTRIB_AXES_DEFINITION_HH__
+
+
+#include "MeasureDefinition.hh"
+#include "ExtraRecombiners.hh"
+
+#include "fastjet/PseudoJet.hh"
+#include <fastjet/LimitedWarning.hh>
+
+#include <iomanip>
+#include <cmath>
+#include <vector>
+#include <list>
+
+namespace Rivet {
+
+namespace Nsubjettiness { using namespace fastjet;
+
+// The following AxesDefinitions are currently available (and the relevant arguments, if needed)
+class KT_Axes;
+class CA_Axes;
+class AntiKT_Axes; // (R0)
+class WTA_KT_Axes;
+class WTA_CA_Axes;
+class GenKT_Axes; // (p, R0 = infinity)
+class WTA_GenKT_Axes; // (p, R0 = infinity)
+class GenET_GenKT_Axes; // (delta, p, R0 = infinity)
+class Manual_Axes;
+
+class OnePass_KT_Axes;
+class OnePass_CA_Axes;
+class OnePass_AntiKT_Axes; // (R0)
+class OnePass_WTA_KT_Axes;
+class OnePass_WTA_CA_Axes;
+class OnePass_GenKT_Axes; // (p, R0 = infinity)
+class OnePass_WTA_GenKT_Axes; // (p, R0 = infinity)
+class OnePass_GenET_GenKT_Axes; // (delta, p, R0 = infinity)
+class OnePass_Manual_Axes;
+
+class MultiPass_Axes; // (NPass) (currently only defined for KT_Axes)
+class MultiPass_Manual_Axes; // (NPass)
+
+class Comb_GenKT_Axes; // (nExtra, p, R0 = infinity)
+class Comb_WTA_GenKT_Axes; // (nExtra, p, R0 = infinity)
+class Comb_GenET_GenKT_Axes; // (nExtra, delta, p, R0 = infinity)
+
+///////
+//
+// AxesDefinition
+//
+///////
+
+///------------------------------------------------------------------------
+/// \class AxesDefinition
+/// \brief Base class for axes definitions
+///
+/// A generic AxesDefinition first finds a set of seed axes.
+/// Then, if desired, uses measure information
+/// (from MeasureDefinition) to refine those axes starting from those seed axes.
+/// The AxesDefinitions are typically based on sequential jet algorithms.
+///------------------------------------------------------------------------
+class AxesDefinition {
+
+public:
+
+ /// This function should be overloaded in all derived classes, and defines how to find the seed axes.
+ /// If desired, the measure information (which might be NULL) can be used to test multiple axes choices, but should
+ /// not be used for iterative refining (since that is the job of MeasureDefinition).
+ virtual std::vector<fastjet::PseudoJet> get_starting_axes(int n_jets,
+ const std::vector<fastjet::PseudoJet>& inputs,
+ const MeasureDefinition * measure) const = 0;
+
+ /// Short description of AxesDefinitions (and any parameters)
+ virtual std::string short_description() const = 0;
+
+ /// Long description of AxesDefinitions (and any parameters)
+ virtual std::string description() const = 0;
+
+ /// This has to be defined in all derived classes, and allows these to be copied around.
+ virtual AxesDefinition* create() const = 0;
+
+public:
+
+ /// Starting from seeds, refine axes using one or more passes.
+ /// Note that in order to do >0 passes, we need information from the MeasureDefinition about how to do the appropriate minimization.
+ std::vector<fastjet::PseudoJet> get_refined_axes(int n_jets,
+ const std::vector<fastjet::PseudoJet>& inputs,
+ const std::vector<fastjet::PseudoJet>& seedAxes,
+ const MeasureDefinition * measure = NULL) const {
+
+ assert(n_jets == (int)seedAxes.size()); //added int casting to get rid of compiler warning
+
+ if (_Npass == 0) {
+ // no refining, just use seeds
+ return seedAxes;
+ } else if (_Npass == 1) {
+ if (measure == NULL) throw Error("AxesDefinition: One-pass minimization requires specifying a MeasureDefinition.");
+
+ // do one pass minimum using measure definition
+ return measure->get_one_pass_axes(n_jets, inputs, seedAxes,_nAttempts,_accuracy);
+ } else {
+ if (measure == NULL) throw Error("AxesDefinition: Multi-pass minimization requires specifying a MeasureDefinition.");
+ return get_multi_pass_axes(n_jets, inputs, seedAxes, measure);
+ }
+ }
+
+ /// Combines get_starting_axes with get_refined_axes.
+ /// In the Njettiness class, these two steps are done separately in order to store seed axes information.
+ std::vector<fastjet::PseudoJet> get_axes(int n_jets,
+ const std::vector<fastjet::PseudoJet>& inputs,
+ const MeasureDefinition * measure = NULL) const {
+ std::vector<fastjet::PseudoJet> seedAxes = get_starting_axes(n_jets, inputs, measure);
+ return get_refined_axes(n_jets,inputs,seedAxes,measure);
+ }
+
+
+ /// Short-hand for the get_axes function. Useful when trying to write terse code.
+ inline std::vector<fastjet::PseudoJet> operator() (int n_jets,
+ const std::vector<fastjet::PseudoJet>& inputs,
+ const MeasureDefinition * measure = NULL) const {
+ return get_axes(n_jets,inputs,measure);
+ }
+
+ /// \enum AxesRefiningEnum
+ /// Defines the cases of zero pass and one pass for convenience
+ enum AxesRefiningEnum {
+ UNDEFINED_REFINE = -1, // added to create a default value
+ NO_REFINING = 0,
+ ONE_PASS = 1,
+ MULTI_PASS = 100,
+ };
+
+ /// A integer that is used externally to decide how to do multi-pass minimization
+ int nPass() const { return _Npass; }
+
+ /// A flag that indicates whether results are deterministics.
+ bool givesRandomizedResults() const {
+ return (_Npass > 1);
+ }
+
+ /// A flag that indicates whether manual axes are being used.
+ bool needsManualAxes() const {
+ return _needsManualAxes; // if there is no starting axes finder
+ }
+
+ /// Allows user to change number of passes. Also used internally to set nPass.
+ /// Can also specify details of one/multi pass minimziation
+ void setNPass(int nPass,
+ int nAttempts = 1000,
+ double accuracy = 0.0001,
+ double noise_range = 1.0 // only needed for MultiPass minimization
+ )
+ {
+ _Npass = nPass;
+ _nAttempts = nAttempts;
+ _accuracy = accuracy;
+ _noise_range = noise_range;
+ if (nPass < 0) throw Error("AxesDefinition requires a nPass >= 0");
+ }
+
+ /// Destructor
+ virtual ~AxesDefinition() {};
+
+protected:
+
+ /// Default constructor contains no information. Number of passes has to be set
+ /// manually by derived classes using setNPass function.
+ AxesDefinition() : _Npass(UNDEFINED_REFINE),
+ _nAttempts(0),
+ _accuracy(0.0),
+ _noise_range(0.0),
+ _needsManualAxes(false) {}
+
+ /// Does multi-pass minimization by randomly jiggling the axes within _noise_range
+ std::vector<fastjet::PseudoJet> get_multi_pass_axes(int n_jets,
+ const std::vector<fastjet::PseudoJet>& inputs,
+ const std::vector<fastjet::PseudoJet>& seedAxes,
+ const MeasureDefinition* measure) const;
+
+ /// Function to jiggle axes within _noise_range
+ PseudoJet jiggle(const PseudoJet& axis) const;
+
+ int _Npass; ///< Number of passes (0 = no refining, 1 = one-pass, >1 multi-pass)
+ int _nAttempts; ///< Number of attempts per pass
+ double _accuracy; ///< Accuracy goal per pass
+ double _noise_range; ///< Noise in rapidity/phi (for multi-pass minimization only)
+ bool _needsManualAxes; ///< Flag to indicate special case of manual axes
+};
+
+///------------------------------------------------------------------------
+/// \class ExclusiveJetAxes
+/// \brief Base class for axes defined from exclusive jet algorithm
+///
+/// This class finds axes by clustering particles with an exclusive jet definition.
+/// This can be implemented with different jet algorithms. The user can call this directly
+/// using their favorite fastjet::JetDefinition
+///------------------------------------------------------------------------
+class ExclusiveJetAxes : public AxesDefinition {
+
+public:
+ /// Constructor takes JetDefinition as an argument
+ ExclusiveJetAxes(fastjet::JetDefinition def)
+ : AxesDefinition(), _def(def) {
+ setNPass(NO_REFINING); // default to no minimization
+ }
+
+ /// Starting axes obtained by creating a cluster sequenence and running exclusive_jets.
+ virtual std::vector<fastjet::PseudoJet> get_starting_axes(int n_jets,
+ const std::vector <fastjet::PseudoJet> & inputs,
+ const MeasureDefinition * ) const {
+ fastjet::ClusterSequence jet_clust_seq(inputs, _def);
+
+ std::vector<fastjet::PseudoJet> axes = jet_clust_seq.exclusive_jets_up_to(n_jets);
+
+ if ((int)axes.size() < n_jets) {
+ _too_few_axes_warning.warn("ExclusiveJetAxes::get_starting_axes: Fewer than N axes found; results are unpredictable.");
+ axes.resize(n_jets); // resize to make sure there are enough axes to not yield an error elsewhere
+ }
+
+ return axes;
+ }
+
+ /// Short description
+ virtual std::string short_description() const { return "ExclAxes";}
+ /// Long description
+ virtual std::string description() const { return "ExclAxes: " + _def.description();}
+
+ /// To make it possible to copy around.
+ virtual ExclusiveJetAxes* create() const {return new ExclusiveJetAxes(*this);}
+
+private:
+ fastjet::JetDefinition _def; ///< Jet definition to use.
+ static LimitedWarning _too_few_axes_warning;
+};
+
+///------------------------------------------------------------------------
+/// \class ExclusiveCombinatorialJetAxes
+/// \brief Base class for axes defined from exclusive jet algorithm, checking combinatorial options
+///
+/// This class finds axes by clustering particles with an exclusive jet definition.
+/// It takes an extra number of jets (specificed by the user via nExtra), and then finds the set of N that minimizes N-jettiness.
+/// WARNING: If one wants to be guarenteed that results improve by increasing nExtra, then one should use
+/// winner-take-all-style recombination schemes
+///------------------------------------------------------------------------
+class ExclusiveCombinatorialJetAxes : public AxesDefinition {
+
+public:
+ /// Constructor takes JetDefinition and nExtra as options (nExtra=0 acts the same as ExclusiveJetAxes)
+ ExclusiveCombinatorialJetAxes(fastjet::JetDefinition def, int nExtra = 0)
+ : AxesDefinition(), _def(def), _nExtra(nExtra) {
+ if (nExtra < 0) throw Error("Need nExtra >= 0");
+ setNPass(NO_REFINING); // default to no minimization
+ }
+
+ /// Find n_jets + _nExtra axes, and then choose the n_jets subset with the smallest N-(sub)jettiness value.
+ virtual std::vector<fastjet::PseudoJet> get_starting_axes(int n_jets,
+ const std::vector<fastjet::PseudoJet> & inputs,
+ const MeasureDefinition *measure) const {
+ int starting_number = n_jets + _nExtra;
+ fastjet::ClusterSequence jet_clust_seq(inputs, _def);
+ std::vector<fastjet::PseudoJet> starting_axes = jet_clust_seq.exclusive_jets_up_to(starting_number);
+
+ if ((int)starting_axes.size() < n_jets) {
+ _too_few_axes_warning.warn("ExclusiveCombinatorialJetAxes::get_starting_axes: Fewer than N + nExtra axes found; results are unpredictable.");
+ starting_axes.resize(n_jets); // resize to make sure there are enough axes to not yield an error elsewhere
+ }
+
+ std::vector<fastjet::PseudoJet> final_axes;
+
+ // check so that no computation time is wasted if there are no extra axes
+ if (_nExtra == 0) final_axes = starting_axes;
+
+ else {
+
+ // define string of 1's based on number of desired jets
+ std::string bitmask(n_jets, 1);
+ // expand the array size to the total number of jets with extra 0's at the end, makes string easy to permute
+ bitmask.resize(starting_number, 0);
+
+ double min_tau = std::numeric_limits<double>::max();
+ std::vector<fastjet::PseudoJet> temp_axes;
+
+ do {
+
+ temp_axes.clear();
+
+ // only take an axis if it is listed as true (1) in the string
+ for (int i = 0; i < (int)starting_axes.size(); ++i) {
+ if (bitmask[i]) temp_axes.push_back(starting_axes[i]);
+ }
+
+ double temp_tau = measure->result(inputs, temp_axes);
+ if (temp_tau < min_tau) {
+ min_tau = temp_tau;
+ final_axes = temp_axes;
+ }
+
+ // permutes string of 1's and 0's according to next lexicographic ordering and returns true
+ // continues to loop through all possible lexicographic orderings
+ // returns false and breaks the loop when there are no more possible orderings
+ } while (std::prev_permutation(bitmask.begin(), bitmask.end()));
+ }
+
+ return final_axes;
+ }
+
+ /// Short description
+ virtual std::string short_description() const { return "ExclCombAxes";}
+ /// Long description
+ virtual std::string description() const { return "ExclCombAxes: " + _def.description();}
+ /// To make it possible to copy around.
+ virtual ExclusiveCombinatorialJetAxes* create() const {return new ExclusiveCombinatorialJetAxes(*this);}
+
+private:
+ fastjet::JetDefinition _def; ///< Jet definition to use
+ int _nExtra; ///< Extra axes to find
+ static LimitedWarning _too_few_axes_warning;
+};
+
+///------------------------------------------------------------------------
+/// \class HardestJetAxes
+/// \brief Base class for axes defined from an inclusive jet algorithm
+///
+/// This class finds axes by running an inclusive algorithm and then finding the n hardest jets.
+/// This can be implemented with different jet algorithms, and can be called by the user.
+///------------------------------------------------------------------------
+class HardestJetAxes : public AxesDefinition {
+public:
+ /// Constructor takes JetDefinition
+ HardestJetAxes(fastjet::JetDefinition def)
+ : AxesDefinition(), _def(def) {
+ setNPass(NO_REFINING); // default to no minimization
+ }
+
+ /// Finds seed axes by running a ClusterSequence, running inclusive_jets, and finding the N hardest
+ virtual std::vector<fastjet::PseudoJet> get_starting_axes(int n_jets,
+ const std::vector <fastjet::PseudoJet> & inputs,
+ const MeasureDefinition * ) const {
+ fastjet::ClusterSequence jet_clust_seq(inputs, _def);
+ std::vector<fastjet::PseudoJet> axes = sorted_by_pt(jet_clust_seq.inclusive_jets());
+
+ if ((int)axes.size() < n_jets) {
+ _too_few_axes_warning.warn("HardestJetAxes::get_starting_axes: Fewer than N axes found; results are unpredictable.");
+ }
+
+ axes.resize(n_jets); // only keep n hardest
+ return axes;
+ }
+
+ /// Short description
+ virtual std::string short_description() const { return "HardAxes";}
+ /// Long description
+ virtual std::string description() const { return "HardAxes: " + _def.description();}
+ /// To make it possible to copy around.
+ virtual HardestJetAxes* create() const {return new HardestJetAxes(*this);}
+
+private:
+ fastjet::JetDefinition _def; ///< Jet Definition to use.
+
+ static LimitedWarning _too_few_axes_warning;
+
+};
+
+///------------------------------------------------------------------------
+/// \class KT_Axes
+/// \brief Axes from exclusive kT
+///
+/// Axes from kT algorithm with E_scheme recombination.
+///------------------------------------------------------------------------
+class KT_Axes : public ExclusiveJetAxes {
+public:
+ /// Constructor
+ KT_Axes()
+ : ExclusiveJetAxes(fastjet::JetDefinition(fastjet::kt_algorithm,
+ fastjet::JetDefinition::max_allowable_R, //maximum jet radius constant
+ fastjet::E_scheme,
+ fastjet::Best)
+ ) {
+ setNPass(NO_REFINING);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "KT";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "KT Axes";
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual KT_Axes* create() const {return new KT_Axes(*this);}
+
+};
+
+///------------------------------------------------------------------------
+/// \class CA_Axes
+/// \brief Axes from exclusive CA
+///
+/// Axes from CA algorithm with E_scheme recombination.
+///------------------------------------------------------------------------
+class CA_Axes : public ExclusiveJetAxes {
+public:
+ /// Constructor
+ CA_Axes()
+ : ExclusiveJetAxes(fastjet::JetDefinition(fastjet::cambridge_algorithm,
+ fastjet::JetDefinition::max_allowable_R, //maximum jet radius constant
+ fastjet::E_scheme,
+ fastjet::Best)
+ ) {
+ setNPass(NO_REFINING);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "CA";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "CA Axes";
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual CA_Axes* create() const {return new CA_Axes(*this);}
+
+};
+
+
+///------------------------------------------------------------------------
+/// \class AntiKT_Axes
+/// \brief Axes from inclusive anti-kT
+///
+/// Axes from anti-kT algorithm and E_scheme.
+/// The one parameter R0 is subjet radius
+///------------------------------------------------------------------------
+class AntiKT_Axes : public HardestJetAxes {
+
+public:
+ /// Constructor. Takes jet radius as argument
+ AntiKT_Axes(double R0)
+ : HardestJetAxes(fastjet::JetDefinition(fastjet::antikt_algorithm,
+ R0,
+ fastjet::E_scheme,
+ fastjet::Best)
+ ), _R0(R0) {
+ setNPass(NO_REFINING);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "AKT" << _R0;
+ return stream.str();
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Anti-KT Axes (R0 = " << _R0 << ")";
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual AntiKT_Axes* create() const {return new AntiKT_Axes(*this);}
+
+protected:
+ double _R0; ///< AKT jet radius
+
+};
+
+///------------------------------------------------------------------------
+/// \class JetDefinitionWrapper
+/// \brief Wrapper for jet definitions (for memory management)
+///
+/// This class was introduced to avoid issue of a FastJet bug when using genKT clustering
+/// Now using this for all AxesDefinition with a manual recombiner to use the delete_recombiner_when_unused function
+///------------------------------------------------------------------------
+class JetDefinitionWrapper {
+
+public:
+
+ /// Default Constructor
+ JetDefinitionWrapper(JetAlgorithm jet_algorithm_in, double R_in, double xtra_param_in, const JetDefinition::Recombiner *recombiner) {
+ jet_def = fastjet::JetDefinition(jet_algorithm_in, R_in, xtra_param_in);
+ jet_def.set_recombiner(recombiner);
+ jet_def.delete_recombiner_when_unused(); // added to prevent memory leaks
+ }
+
+ /// Additional constructor so that build-in FastJet algorithms can also be called
+ JetDefinitionWrapper(JetAlgorithm jet_algorithm_in, double R_in, const JetDefinition::Recombiner *recombiner, fastjet::Strategy strategy_in) {
+ jet_def = fastjet::JetDefinition(jet_algorithm_in, R_in, recombiner, strategy_in);
+ jet_def.delete_recombiner_when_unused();
+ }
+
+ /// Return jet definition
+ JetDefinition getJetDef() {
+ return jet_def;
+ }
+
+private:
+ JetDefinition jet_def; ///< my jet definition
+};
+
+///------------------------------------------------------------------------
+/// \class WTA_KT_Axes
+/// \brief Axes from exclusive kT, winner-take-all recombination
+///
+/// Axes from kT algorithm and winner-take-all recombination
+///------------------------------------------------------------------------
+class WTA_KT_Axes : public ExclusiveJetAxes {
+public:
+ /// Constructor
+ WTA_KT_Axes()
+ : ExclusiveJetAxes(JetDefinitionWrapper(fastjet::kt_algorithm,
+ fastjet::JetDefinition::max_allowable_R, //maximum jet radius constant
+ _recomb = new WinnerTakeAllRecombiner(), // Needs to be explicitly declared (this will be deleted by JetDefinitionWrapper)
+ fastjet::Best).getJetDef()
+ ) {
+ setNPass(NO_REFINING);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "WTA KT";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Winner-Take-All KT Axes";
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual WTA_KT_Axes* create() const {return new WTA_KT_Axes(*this);}
+
+private:
+ const WinnerTakeAllRecombiner *_recomb; ///< Internal recombiner
+
+};
+
+///------------------------------------------------------------------------
+/// \class WTA_CA_Axes
+/// \brief Axes from exclusive CA, winner-take-all recombination
+///
+/// Axes from CA algorithm and winner-take-all recombination
+///------------------------------------------------------------------------
+class WTA_CA_Axes : public ExclusiveJetAxes {
+public:
+ /// Constructor
+ WTA_CA_Axes()
+ : ExclusiveJetAxes(JetDefinitionWrapper(fastjet::cambridge_algorithm,
+ fastjet::JetDefinition::max_allowable_R, //maximum jet radius constant
+ _recomb = new WinnerTakeAllRecombiner(), // Needs to be explicitly declared (this will be deleted by JetDefinitionWrapper)
+ fastjet::Best).getJetDef()) {
+ setNPass(NO_REFINING);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "WTA CA";
+ };
+
+ /// Long descriptions
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Winner-Take-All CA Axes";
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual WTA_CA_Axes* create() const {return new WTA_CA_Axes(*this);}
+
+private:
+ const WinnerTakeAllRecombiner *_recomb; ///< Internal recombiner
+
+};
+
+
+///------------------------------------------------------------------------
+/// \class GenKT_Axes
+/// \brief Axes from exclusive generalized kT
+///
+/// Axes from a general KT algorithm (standard E-scheme recombination)
+/// Requires the power of the KT algorithm to be used and the radius parameter
+///------------------------------------------------------------------------
+class GenKT_Axes : public ExclusiveJetAxes {
+
+public:
+ /// Constructor
+ GenKT_Axes(double p, double R0 = fastjet::JetDefinition::max_allowable_R)
+ : ExclusiveJetAxes(fastjet::JetDefinition(fastjet::genkt_algorithm,
+ R0,
+ p)), _p(p), _R0(R0) {
+ if (p < 0) throw Error("GenKT_Axes: Currently only p >=0 is supported.");
+ setNPass(NO_REFINING);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "GenKT Axes";
+ return stream.str();
+ };
+
+ /// Long descriptions
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "General KT (p = " << _p << "), R0 = " << _R0;
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual GenKT_Axes* create() const {return new GenKT_Axes(*this);}
+
+protected:
+ double _p; ///< genkT power
+ double _R0; ///< jet radius
+};
+
+
+///------------------------------------------------------------------------
+/// \class WTA_GenKT_Axes
+/// \brief Axes from exclusive generalized kT, winner-take-all recombination
+///
+/// Axes from a general KT algorithm with a Winner Take All Recombiner
+/// Requires the power of the KT algorithm to be used and the radius parameter
+///------------------------------------------------------------------------
+class WTA_GenKT_Axes : public ExclusiveJetAxes {
+
+public:
+ /// Constructor
+ WTA_GenKT_Axes(double p, double R0 = fastjet::JetDefinition::max_allowable_R)
+ : ExclusiveJetAxes(JetDefinitionWrapper(fastjet::genkt_algorithm,
+ R0,
+ p,
+ _recomb = new WinnerTakeAllRecombiner()
+ ).getJetDef()), _p(p), _R0(R0) {
+ if (p < 0) throw Error("WTA_GenKT_Axes: Currently only p >=0 is supported.");
+ setNPass(NO_REFINING);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "WTA, GenKT Axes";
+ return stream.str();
+ };
+
+ /// Long descriptions
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Winner-Take-All General KT (p = " << _p << "), R0 = " << _R0;
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual WTA_GenKT_Axes* create() const {return new WTA_GenKT_Axes(*this);}
+
+protected:
+ double _p; ///< genkT power
+ double _R0; ///< jet radius
+ const WinnerTakeAllRecombiner *_recomb; ///< Internal recombiner
+};
+
+///------------------------------------------------------------------------
+/// \class GenET_GenKT_Axes
+/// \brief Axes from exclusive kT, generalized Et-scheme recombination
+///
+/// Class using general KT algorithm with a more general recombination scheme
+/// Requires power of KT algorithm, power of recombination weights, and radius parameter
+///------------------------------------------------------------------------
+class GenET_GenKT_Axes : public ExclusiveJetAxes {
+
+public:
+ /// Constructor
+ GenET_GenKT_Axes(double delta, double p, double R0 = fastjet::JetDefinition::max_allowable_R)
+ : ExclusiveJetAxes((JetDefinitionWrapper(fastjet::genkt_algorithm, R0, p, _recomb = new GeneralEtSchemeRecombiner(delta))).getJetDef() ),
+ _delta(delta), _p(p), _R0(R0) {
+ if (p < 0) throw Error("GenET_GenKT_Axes: Currently only p >=0 is supported.");
+ if (delta <= 0) throw Error("GenET_GenKT_Axes: Currently only delta >0 is supported.");
+ setNPass(NO_REFINING);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "GenET, GenKT Axes";
+ return stream.str();
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2);
+ // TODO: if _delta is huge, change to "WTA"
+ if (_delta < std::numeric_limits<int>::max()) stream << "General Recombiner (delta = " << _delta << "), " << "General KT (p = " << _p << ") Axes, R0 = " << _R0;
+ else stream << "Winner-Take-All General KT (p = " << _p << "), R0 = " << _R0;
+
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual GenET_GenKT_Axes* create() const {return new GenET_GenKT_Axes(*this);}
+
+protected:
+ double _delta; ///< Recombination pT weighting
+ double _p; ///< GenkT power
+ double _R0; ///< jet radius
+ const GeneralEtSchemeRecombiner *_recomb; ///< Internal recombiner
+};
+
+///------------------------------------------------------------------------
+/// \class OnePass_KT_Axes
+/// \brief Axes from exclusive kT, with one-pass minimization
+///
+/// Onepass minimization from kt axes
+///------------------------------------------------------------------------
+class OnePass_KT_Axes : public KT_Axes {
+public:
+ /// Constructor
+ OnePass_KT_Axes() : KT_Axes() {
+ setNPass(ONE_PASS);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "OnePass KT";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "One-Pass Minimization from KT Axes";
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual OnePass_KT_Axes* create() const {return new OnePass_KT_Axes(*this);}
+
+
+};
+
+///------------------------------------------------------------------------
+/// \class OnePass_CA_Axes
+/// \brief Axes from exclusive CA, with one-pass minimization
+///
+/// Onepass minimization from CA axes
+///------------------------------------------------------------------------
+class OnePass_CA_Axes : public CA_Axes {
+public:
+ /// Constructor
+ OnePass_CA_Axes() : CA_Axes() {
+ setNPass(ONE_PASS);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "OnePass CA";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "One-Pass Minimization from CA Axes";
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual OnePass_CA_Axes* create() const {return new OnePass_CA_Axes(*this);}
+
+
+};
+
+///------------------------------------------------------------------------
+/// \class OnePass_AntiKT_Axes
+/// \brief Axes from inclusive anti-kT, with one-pass minimization
+///
+/// Onepass minimization from AntiKT axes, one parameter R0
+///------------------------------------------------------------------------
+class OnePass_AntiKT_Axes : public AntiKT_Axes {
+
+public:
+ /// Constructor
+ OnePass_AntiKT_Axes(double R0) : AntiKT_Axes(R0) {
+ setNPass(ONE_PASS);
+ }
+
+ /// Short Description
+ virtual std::string short_description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "OnePassAKT" << _R0;
+ return stream.str();
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "One-Pass Minimization from Anti-KT Axes (R0 = " << _R0 << ")";
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual OnePass_AntiKT_Axes* create() const {return new OnePass_AntiKT_Axes(*this);}
+
+};
+
+///------------------------------------------------------------------------
+/// \class OnePass_WTA_KT_Axes
+/// \brief Axes from exclusive kT, winner-take-all recombination, with one-pass minimization
+///
+/// Onepass minimization from winner-take-all kt axes
+///------------------------------------------------------------------------
+class OnePass_WTA_KT_Axes : public WTA_KT_Axes {
+public:
+ /// Constructor
+ OnePass_WTA_KT_Axes() : WTA_KT_Axes() {
+ setNPass(ONE_PASS);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "OnePass WTA KT";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "One-Pass Minimization from Winner-Take-All KT Axes";
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual OnePass_WTA_KT_Axes* create() const {return new OnePass_WTA_KT_Axes(*this);}
+
+
+};
+
+///------------------------------------------------------------------------
+/// \class OnePass_WTA_CA_Axes
+/// \brief Axes from exclusive CA, winner-take-all recombination, with one-pass minimization
+///
+/// Onepass minimization from winner-take-all CA axes
+///------------------------------------------------------------------------
+class OnePass_WTA_CA_Axes : public WTA_CA_Axes {
+
+public:
+ /// Constructor
+ OnePass_WTA_CA_Axes() : WTA_CA_Axes() {
+ setNPass(ONE_PASS);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "OnePass WTA CA";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "One-Pass Minimization from Winner-Take-All CA Axes";
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual OnePass_WTA_CA_Axes* create() const {return new OnePass_WTA_CA_Axes(*this);}
+
+};
+
+///------------------------------------------------------------------------
+/// \class OnePass_GenKT_Axes
+/// \brief Axes from exclusive generalized kT with one-pass minimization
+///
+/// Onepass minimization, General KT Axes (standard E-scheme recombination)
+///------------------------------------------------------------------------
+class OnePass_GenKT_Axes : public GenKT_Axes {
+
+public:
+ /// Constructor
+ OnePass_GenKT_Axes(double p, double R0 = fastjet::JetDefinition::max_allowable_R) : GenKT_Axes(p, R0) {
+ setNPass(ONE_PASS);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "OnePass GenKT";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "One-Pass Minimization from General KT (p = " << _p << "), R0 = " << _R0;
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual OnePass_GenKT_Axes* create() const {return new OnePass_GenKT_Axes(*this);}
+};
+
+///------------------------------------------------------------------------
+/// \class OnePass_WTA_GenKT_Axes
+/// \brief Axes from exclusive generalized kT, winner-take-all recombination, with one-pass minimization
+///
+/// Onepass minimization from winner-take-all, General KT Axes
+///------------------------------------------------------------------------
+class OnePass_WTA_GenKT_Axes : public WTA_GenKT_Axes {
+
+public:
+ /// Constructor
+ OnePass_WTA_GenKT_Axes(double p, double R0 = fastjet::JetDefinition::max_allowable_R) : WTA_GenKT_Axes(p, R0) {
+ setNPass(ONE_PASS);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "OnePass WTA GenKT";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "One-Pass Minimization from Winner-Take-All General KT (p = " << _p << "), R0 = " << _R0;
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual OnePass_WTA_GenKT_Axes* create() const {return new OnePass_WTA_GenKT_Axes(*this);}
+};
+
+///------------------------------------------------------------------------
+/// \class OnePass_GenET_GenKT_Axes
+/// \brief Axes from exclusive generalized kT, generalized Et-scheme recombination, with one-pass minimization
+///
+/// Onepass minimization from General Recomb, General KT axes
+///------------------------------------------------------------------------
+class OnePass_GenET_GenKT_Axes : public GenET_GenKT_Axes {
+
+public:
+ /// Constructor
+ OnePass_GenET_GenKT_Axes(double delta, double p, double R0 = fastjet::JetDefinition::max_allowable_R) : GenET_GenKT_Axes(delta, p, R0) {
+ setNPass(ONE_PASS);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "OnePass GenET, GenKT";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2);
+ if (_delta < std::numeric_limits<int>::max()) stream << "One-Pass Minimization from General Recombiner (delta = "
+ << _delta << "), " << "General KT (p = " << _p << ") Axes, R0 = " << _R0;
+ else stream << "One-Pass Minimization from Winner-Take-All General KT (p = " << _p << "), R0 = " << _R0;
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual OnePass_GenET_GenKT_Axes* create() const {return new OnePass_GenET_GenKT_Axes(*this);}
+};
+
+
+///------------------------------------------------------------------------
+/// \class Manual_Axes
+/// \brief Manual axes finding
+///
+/// Allows the user to set the axes manually
+///------------------------------------------------------------------------
+class Manual_Axes : public AxesDefinition {
+public:
+ /// Constructor. Note that _needsManualAxes is set to true.
+ Manual_Axes() : AxesDefinition() {
+ setNPass(NO_REFINING);
+ _needsManualAxes = true;
+ }
+
+ /// This is now a dummy function since this is manual mode
+ virtual std::vector<fastjet::PseudoJet> get_starting_axes(int,
+ const std::vector<fastjet::PseudoJet>&,
+ const MeasureDefinition *) const;
+
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "Manual";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Manual Axes";
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual Manual_Axes* create() const {return new Manual_Axes(*this);}
+
+
+};
+
+///------------------------------------------------------------------------
+/// \class OnePass_Manual_Axes
+/// \brief Manual axes finding, with one-pass minimization
+///
+/// One pass minimization from manual starting point
+///------------------------------------------------------------------------
+class OnePass_Manual_Axes : public Manual_Axes {
+public:
+ /// Constructor. Note that _needsManualAxes is set to true.
+ OnePass_Manual_Axes() : Manual_Axes() {
+ setNPass(ONE_PASS);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "OnePass Manual";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "One-Pass Minimization from Manual Axes";
+ return stream.str();
+ };
+
+ // For copying purposes
+ virtual OnePass_Manual_Axes* create() const {return new OnePass_Manual_Axes(*this);}
+
+};
+
+///------------------------------------------------------------------------
+/// \class MultiPass_Axes
+/// \brief Manual axes finding, with multi-pass (randomized) minimization
+///
+/// Multi-pass minimization from kT starting point
+///------------------------------------------------------------------------
+class MultiPass_Axes : public KT_Axes {
+
+public:
+
+ /// Constructor
+ MultiPass_Axes(unsigned int Npass) : KT_Axes() {
+ setNPass(Npass);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "MultiPass";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Multi-Pass Axes (Npass = " << _Npass << ")";
+ return stream.str();
+ };
+
+ /// For copying purposs
+ virtual MultiPass_Axes* create() const {return new MultiPass_Axes(*this);}
+
+};
+
+///------------------------------------------------------------------------
+/// \class MultiPass_Manual_Axes
+/// \brief Axes finding from exclusive kT, with multi-pass (randomized) minimization
+///
+/// multi-pass minimization from kT starting point
+///------------------------------------------------------------------------
+class MultiPass_Manual_Axes : public Manual_Axes {
+
+public:
+ /// Constructor
+ MultiPass_Manual_Axes(unsigned int Npass) : Manual_Axes() {
+ setNPass(Npass);
+ }
+
+ /// Short Description
+ virtual std::string short_description() const {
+ return "MultiPass Manual";
+ };
+
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Multi-Pass Manual Axes (Npass = " << _Npass << ")";
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual MultiPass_Manual_Axes* create() const {return new MultiPass_Manual_Axes(*this);}
+
+};
+
+///------------------------------------------------------------------------
+/// \class Comb_GenKT_Axes
+/// \brief Axes from exclusive generalized kT with combinatorial testing
+///
+/// Axes from kT algorithm (standard E-scheme recombination)
+/// Requires nExtra parameter and returns set of N that minimizes N-jettiness
+/// Note that this method is not guaranteed to find a deeper minimum than GenKT_Axes
+///------------------------------------------------------------------------
+class Comb_GenKT_Axes : public ExclusiveCombinatorialJetAxes {
+public:
+ /// Constructor
+ Comb_GenKT_Axes(int nExtra, double p, double R0 = fastjet::JetDefinition::max_allowable_R)
+ : ExclusiveCombinatorialJetAxes(fastjet::JetDefinition(fastjet::genkt_algorithm, R0, p), nExtra),
+ _p(p), _R0(R0) {
+ if (p < 0) throw Error("Comb_GenKT_Axes: Currently only p >=0 is supported.");
+ setNPass(NO_REFINING);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "N Choose M GenKT";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "N Choose M Minimization (nExtra = " << _nExtra << ") from General KT (p = " << _p << "), R0 = " << _R0;
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual Comb_GenKT_Axes* create() const {return new Comb_GenKT_Axes(*this);}
+
+private:
+ double _nExtra; ///< Number of extra axes
+ double _p; ///< GenkT power
+ double _R0; ///< jet radius
+};
+
+
+
+///------------------------------------------------------------------------
+/// \class Comb_WTA_GenKT_Axes
+/// \brief Axes from exclusive generalized kT, winner-take-all recombination, with combinatorial testing
+///
+/// Axes from kT algorithm and winner-take-all recombination
+/// Requires nExtra parameter and returns set of N that minimizes N-jettiness
+///------------------------------------------------------------------------
+class Comb_WTA_GenKT_Axes : public ExclusiveCombinatorialJetAxes {
+public:
+ /// Constructor
+ Comb_WTA_GenKT_Axes(int nExtra, double p, double R0 = fastjet::JetDefinition::max_allowable_R)
+ : ExclusiveCombinatorialJetAxes((JetDefinitionWrapper(fastjet::genkt_algorithm, R0, p, _recomb = new WinnerTakeAllRecombiner())).getJetDef(), nExtra),
+ _p(p), _R0(R0) {
+ if (p < 0) throw Error("Comb_WTA_GenKT_Axes: Currently only p >=0 is supported.");
+ setNPass(NO_REFINING);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "N Choose M WTA GenKT";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "N Choose M Minimization (nExtra = " << _nExtra << ") from Winner-Take-All General KT (p = " << _p << "), R0 = " << _R0;
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual Comb_WTA_GenKT_Axes* create() const {return new Comb_WTA_GenKT_Axes(*this);}
+
+private:
+ double _nExtra; ///< Number of extra axes
+ double _p; ///< GenkT power
+ double _R0; ///< jet radius
+ const WinnerTakeAllRecombiner *_recomb; ///< Internal recombiner
+};
+
+///------------------------------------------------------------------------
+/// \class Comb_GenET_GenKT_Axes
+/// \brief Axes from exclusive generalized kT, generalized Et-scheme recombination, with combinatorial testing
+///
+/// Axes from kT algorithm and General Et scheme recombination
+/// Requires nExtra parameter and returns set of N that minimizes N-jettiness
+///------------------------------------------------------------------------
+class Comb_GenET_GenKT_Axes : public ExclusiveCombinatorialJetAxes {
+public:
+ /// Constructor
+ Comb_GenET_GenKT_Axes(int nExtra, double delta, double p, double R0 = fastjet::JetDefinition::max_allowable_R)
+ : ExclusiveCombinatorialJetAxes((JetDefinitionWrapper(fastjet::genkt_algorithm, R0, p, _recomb = new GeneralEtSchemeRecombiner(delta))).getJetDef(), nExtra),
+ _delta(delta), _p(p), _R0(R0) {
+ if (p < 0) throw Error("Comb_GenET_GenKT_Axes: Currently only p >=0 is supported.");
+ if (delta <= 0) throw Error("Comb_GenET_GenKT_Axes: Currently only delta >=0 is supported.");
+ setNPass(NO_REFINING);
+ }
+
+ /// Short description
+ virtual std::string short_description() const {
+ return "N Choose M GenET GenKT";
+ };
+
+ /// Long description
+ virtual std::string description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2);
+ if (_delta < std::numeric_limits<int>::max()) stream << "N choose M Minimization (nExtra = " << _nExtra
+ << ") from General Recombiner (delta = " << _delta << "), " << "General KT (p = " << _p << ") Axes, R0 = " << _R0;
+ else stream << "N choose M Minimization (nExtra = " << _nExtra << ") from Winner-Take-All General KT (p = " << _p << "), R0 = " << _R0;
+ return stream.str();
+ };
+
+ /// For copying purposes
+ virtual Comb_GenET_GenKT_Axes* create() const {return new Comb_GenET_GenKT_Axes(*this);}
+
+private:
+ double _nExtra; ///< Number of extra axes
+ double _delta; ///< Recombination pT weighting exponent
+ double _p; ///< GenkT power
+ double _R0; ///< jet radius
+ const GeneralEtSchemeRecombiner *_recomb; ///< Internal recombiner
+};
+
+
+} // namespace Nsubjettiness
+
+}
+
+#endif // __FASTJET_CONTRIB_NJETTINESS_HH__
+
diff --git a/include/Rivet/Tools/Nsubjettiness/ExtraRecombiners.hh b/include/Rivet/Tools/Nsubjettiness/ExtraRecombiners.hh
new file mode 100644
--- /dev/null
+++ b/include/Rivet/Tools/Nsubjettiness/ExtraRecombiners.hh
@@ -0,0 +1,103 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: ExtraRecombiners.hh 828 2015-07-20 14:52:06Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#ifndef __FASTJET_CONTRIB_WINNERTAKEALLRECOMBINER_HH__
+#define __FASTJET_CONTRIB_WINNERTAKEALLRECOMBINER_HH__
+
+#include "fastjet/PseudoJet.hh"
+#include "fastjet/JetDefinition.hh"
+
+#include <cmath>
+#include <vector>
+#include <list>
+#include <limits>
+#include <stdio.h>
+#include <string.h>
+#include <errno.h>
+
+namespace Rivet {
+
+namespace Nsubjettiness { using namespace fastjet;
+
+///------------------------------------------------------------------------
+/// \class GeneralEtSchemeRecombiner
+/// \brief Recombination scheme with generalized Et weighting
+///
+/// GeneralEtSchemeRecombiner defines a new recombination scheme by inheriting from JetDefinition::Recombiner.
+/// This scheme compares the pT of two input particles, and then combines them into a particle with
+/// a pT equal to the sum of the two particle pTs and a direction (in rapidity/phi) weighted by the respective momenta of the
+/// particle. The weighting is dependent on the power delta. For delta = infinity, this should return the same result as the
+/// WinnerTakeAllRecombiner.
+///------------------------------------------------------------------------
+class GeneralEtSchemeRecombiner : public fastjet::JetDefinition::Recombiner {
+public:
+
+ /// Constructor takes delta weighting
+ /// (delta = 1.0 for Et-scheme, delta = infinity for winner-take-all scheme)
+ GeneralEtSchemeRecombiner(double delta) : _delta(delta) {}
+
+ /// Description
+ virtual std::string description() const;
+
+ /// Recombine pa and pb and put result into pab
+ virtual void recombine(const fastjet::PseudoJet & pa,
+ const fastjet::PseudoJet & pb,
+ fastjet::PseudoJet & pab) const;
+
+private:
+ double _delta; ///< Weighting exponent
+};
+
+///------------------------------------------------------------------------
+/// \class WinnerTakeAllRecombiner
+/// \brief Recombination scheme with winner-take-all weighting
+///
+/// WinnerTakeAllRecombiner defines a new recombination scheme by inheriting from JetDefinition::Recombiner.
+/// This scheme compares the pT of two input particles, and then combines them into a particle with
+/// a pT equal to the sum of the two particle pTs and a direction (in rapidity/phi) identical to that of the harder
+/// particle. This creates a jet with an axis guaranteed to align with a particle in the event.
+///------------------------------------------------------------------------
+class WinnerTakeAllRecombiner : public fastjet::JetDefinition::Recombiner {
+public:
+
+ /// Constructor to choose value of alpha (defaulted to 1 for normal pT sum)
+ WinnerTakeAllRecombiner(double alpha = 1.0) : _alpha(alpha) {}
+
+ /// Description
+ virtual std::string description() const;
+
+ /// recombine pa and pb and put result into pab
+ virtual void recombine(const fastjet::PseudoJet & pa,
+ const fastjet::PseudoJet & pb,
+ fastjet::PseudoJet & pab) const;
+
+private:
+ double _alpha; //power of (pt/E) term when recombining particles
+};
+
+} //namespace Nsubjettiness
+
+}
+
+#endif // __FASTJET_CONTRIB_WINNERTAKEALLRECOMBINER_HH__
diff --git a/include/Rivet/Tools/Nsubjettiness/MeasureDefinition.hh b/include/Rivet/Tools/Nsubjettiness/MeasureDefinition.hh
new file mode 100644
--- /dev/null
+++ b/include/Rivet/Tools/Nsubjettiness/MeasureDefinition.hh
@@ -0,0 +1,853 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: MeasureDefinition.hh 828 2015-07-20 14:52:06Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#ifndef __FASTJET_CONTRIB_MEASUREDEFINITION_HH__
+#define __FASTJET_CONTRIB_MEASUREDEFINITION_HH__
+
+#include "fastjet/PseudoJet.hh"
+#include <cmath>
+#include <vector>
+#include <list>
+#include <limits>
+
+#include "TauComponents.hh"
+
+namespace Rivet {
+
+namespace Nsubjettiness{
+
+
+
+// The following Measures are available (and their relevant arguments):
+// Recommended for usage as jet shapes
+class DefaultMeasure; // Default measure from which next classes derive (should not be called directly)
+class NormalizedMeasure; // (beta,R0)
+class UnnormalizedMeasure; // (beta)
+class NormalizedCutoffMeasure; // (beta,R0,Rcutoff)
+class UnnormalizedCutoffMeasure; // (beta,Rcutoff)
+
+// New measures as of v2.2
+// Recommended for usage as event shapes (or for jet finding)
+class ConicalMeasure; // (beta,R)
+class OriginalGeometricMeasure; // (R)
+class ModifiedGeometricMeasure; // (R)
+class ConicalGeometricMeasure; // (beta, gamma, R)
+class XConeMeasure; // (beta, R)
+
+// Formerly GeometricMeasure, now no longer recommended, kept commented out only for cross-check purposes
+//class DeprecatedGeometricMeasure; // (beta)
+//class DeprecatedGeometricCutoffMeasure; // (beta,Rcutoff)
+
+
+///////
+//
+// MeasureDefinition
+//
+///////
+
+//This is a helper class for the Minimum Axes Finders. It is defined later.
+class LightLikeAxis;
+
+///------------------------------------------------------------------------
+/// \class MeasureDefinition
+/// \brief Base class for measure definitions
+///
+/// This is the base class for measure definitions. Derived classes will calculate
+/// the tau_N of a jet given a specific measure and a set of axes. The measure is
+/// determined by various jet and beam distances (and possible normalization factors).
+///------------------------------------------------------------------------
+class MeasureDefinition {
+
+public:
+
+ /// Description of measure and parameters
+ virtual std::string description() const = 0;
+
+ /// In derived classes, this should return a copy of the corresponding derived class
+ virtual MeasureDefinition* create() const = 0;
+
+ //The following five functions define the measure by which tau_N is calculated,
+ //and are overloaded by the various measures below
+
+ /// Distanes to jet axis. This is called many times, so needs to be as fast as possible
+ /// Unless overloaded, it just calls jet_numerator
+ virtual double jet_distance_squared(const fastjet::PseudoJet& particle, const fastjet::PseudoJet& axis) const {
+ return jet_numerator(particle,axis);
+ }
+
+ /// Distanes to beam. This is called many times, so needs to be as fast as possible
+ /// Unless overloaded, it just calls beam_numerator
+ virtual double beam_distance_squared(const fastjet::PseudoJet& particle) const {
+ return beam_numerator(particle);
+ }
+
+ /// The jet measure used in N-(sub)jettiness
+ virtual double jet_numerator(const fastjet::PseudoJet& particle, const fastjet::PseudoJet& axis) const = 0;
+ /// The beam measure used in N-(sub)jettiness
+ virtual double beam_numerator(const fastjet::PseudoJet& particle) const = 0;
+
+ /// A possible normalization factor
+ virtual double denominator(const fastjet::PseudoJet& particle) const = 0;
+
+ /// Run a one-pass minimization routine. There is a generic one-pass minimization that works for a wide variety of measures.
+ /// This should be overloaded to create a measure-specific minimization scheme
+ virtual std::vector<fastjet::PseudoJet> get_one_pass_axes(int n_jets,
+ const std::vector<fastjet::PseudoJet>& inputs,
+ const std::vector<fastjet::PseudoJet>& seedAxes,
+ int nAttempts = 1000, // cap number of iterations
+ double accuracy = 0.0001 // cap distance of closest approach
+ ) const;
+
+public:
+
+ /// Returns the tau value for a give set of particles and axes
+ double result(const std::vector<fastjet::PseudoJet>& particles, const std::vector<fastjet::PseudoJet>& axes) const {
+ return component_result(particles,axes).tau();
+ }
+
+ /// Short-hand for the result() function
+ inline double operator() (const std::vector<fastjet::PseudoJet>& particles, const std::vector<fastjet::PseudoJet>& axes) const {
+ return result(particles,axes);
+ }
+
+ /// Return all of the TauComponents for specific input particles and axes
+ TauComponents component_result(const std::vector<fastjet::PseudoJet>& particles, const std::vector<fastjet::PseudoJet>& axes) const;
+
+ /// Create the partitioning according the jet/beam distances and stores them a TauPartition
+ TauPartition get_partition(const std::vector<fastjet::PseudoJet>& particles, const std::vector<fastjet::PseudoJet>& axes) const;
+
+ /// Calculate the tau result using an existing partition
+ TauComponents component_result_from_partition(const TauPartition& partition, const std::vector<fastjet::PseudoJet>& axes) const;
+
+
+
+ /// virtual destructor
+ virtual ~MeasureDefinition(){}
+
+protected:
+
+ /// Flag set by derived classes to choose whether or not to use beam/denominator
+ TauMode _tau_mode;
+
+ /// Flag set by derived classes to say whether cheap get_one_pass_axes method can be used (true by default)
+ bool _useAxisScaling;
+
+ /// This is the only constructor, which requires _tau_mode and _useAxisScaling to be manually set by derived classes.
+ MeasureDefinition() : _tau_mode(UNDEFINED_SHAPE), _useAxisScaling(true) {}
+
+
+ /// Used by derived classes to set whether or not to use beam/denominator information
+ void setTauMode(TauMode tau_mode) {
+ _tau_mode = tau_mode;
+ }
+
+ /// Used by derived classes to say whether one can use cheap get_one_pass_axes
+ void setAxisScaling(bool useAxisScaling) {
+ _useAxisScaling = useAxisScaling;
+ }
+
+ /// Uses denominator information?
+ bool has_denominator() const { return (_tau_mode == NORMALIZED_JET_SHAPE || _tau_mode == NORMALIZED_EVENT_SHAPE);}
+ /// Uses beam information?
+ bool has_beam() const {return (_tau_mode == UNNORMALIZED_EVENT_SHAPE || _tau_mode == NORMALIZED_EVENT_SHAPE);}
+
+ /// Create light-like axis (used in default one-pass minimization routine)
+ fastjet::PseudoJet lightFrom(const fastjet::PseudoJet& input) const {
+ double length = sqrt(pow(input.px(),2) + pow(input.py(),2) + pow(input.pz(),2));
+ return fastjet::PseudoJet(input.px()/length,input.py()/length,input.pz()/length,1.0);
+ }
+
+ /// Shorthand for squaring
+ static inline double sq(double x) {return x*x;}
+
+};
+
+
+///////
+//
+// Default Measures
+//
+///////
+
+
+///------------------------------------------------------------------------
+/// \enum DefaultMeasureType
+/// \brief Options for default measure
+///
+/// Can be used to switch between pp and ee measure types in the DefaultMeasure
+///------------------------------------------------------------------------
+enum DefaultMeasureType {
+ pt_R, /// use transverse momenta and boost-invariant angles,
+ E_theta, /// use energies and angles,
+ lorentz_dot, /// use dot product inspired measure
+ perp_lorentz_dot /// use conical geometric inspired measures
+};
+
+///------------------------------------------------------------------------
+/// \class DefaultMeasure
+/// \brief Base class for default N-subjettiness measure definitions
+///
+/// This class is the default measure as defined in the original N-subjettiness papers.
+/// Based on the conical measure, but with a normalization factor
+/// This measure is defined as the pT of the particle multiplied by deltaR
+/// to the power of beta. This class includes the normalization factor determined by R0
+///------------------------------------------------------------------------
+class DefaultMeasure : public MeasureDefinition {
+
+public:
+
+ /// Description
+ virtual std::string description() const;
+ /// To allow copying around of these objects
+ virtual DefaultMeasure* create() const {return new DefaultMeasure(*this);}
+
+ /// fast jet distance
+ virtual double jet_distance_squared(const fastjet::PseudoJet& particle, const fastjet::PseudoJet& axis) const {
+ return angleSquared(particle, axis);
+ }
+
+ /// fast beam distance
+ virtual double beam_distance_squared(const fastjet::PseudoJet& /*particle*/) const {
+ return _RcutoffSq;
+ }
+
+ /// true jet distance (given by general definitions of energy and angle)
+ virtual double jet_numerator(const fastjet::PseudoJet& particle, const fastjet::PseudoJet& axis) const{
+ double jet_dist = angleSquared(particle, axis);
+ if (jet_dist > 0.0) {
+ return energy(particle) * std::pow(jet_dist,_beta/2.0);
+ } else {
+ return 0.0;
+ }
+ }
+
+ /// true beam distance
+ virtual double beam_numerator(const fastjet::PseudoJet& particle) const {
+ return energy(particle) * std::pow(_Rcutoff,_beta);
+ }
+
+ /// possible denominator for normalization
+ virtual double denominator(const fastjet::PseudoJet& particle) const {
+ return energy(particle) * std::pow(_R0,_beta);
+ }
+
+ /// Special minimization routine (from v1.0 of N-subjettiness)
+ virtual std::vector<fastjet::PseudoJet> get_one_pass_axes(int n_jets,
+ const std::vector<fastjet::PseudoJet>& inputs,
+ const std::vector<fastjet::PseudoJet>& seedAxes,
+ int nAttempts, // cap number of iterations
+ double accuracy // cap distance of closest approach
+ ) const;
+
+protected:
+ double _beta; ///< Angular exponent
+ double _R0; ///< Normalization factor
+ double _Rcutoff; ///< Cutoff radius
+ double _RcutoffSq; ///< Cutoff radius squared
+ DefaultMeasureType _measure_type; ///< Type of measure used (i.e. pp style or ee style)
+
+
+ /// Constructor is protected so that no one tries to call this directly.
+ DefaultMeasure(double beta, double R0, double Rcutoff, DefaultMeasureType measure_type = pt_R)
+ : MeasureDefinition(), _beta(beta), _R0(R0), _Rcutoff(Rcutoff), _RcutoffSq(sq(Rcutoff)), _measure_type(measure_type)
+ {
+ if (beta <= 0) throw Error("DefaultMeasure: You must choose beta > 0.");
+ if (R0 <= 0) throw Error("DefaultMeasure: You must choose R0 > 0.");
+ if (Rcutoff <= 0) throw Error("DefaultMeasure: You must choose Rcutoff > 0.");
+ }
+
+ /// Added set measure method in case it becomes useful later
+ void setDefaultMeasureType(DefaultMeasureType measure_type) {
+ _measure_type = measure_type;
+ }
+
+ /// Generalized energy value (determined by _measure_type)
+ double energy(const PseudoJet& jet) const;
+ /// Generalized angle value (determined by _measure_type)
+ double angleSquared(const PseudoJet& jet1, const PseudoJet& jet2) const;
+
+ /// Name of _measure_type, so description will include the measure type
+ std::string measure_type_name() const {
+ if (_measure_type == pt_R) return "pt_R";
+ else if (_measure_type == E_theta) return "E_theta";
+ else if (_measure_type == lorentz_dot) return "lorentz_dot";
+ else if (_measure_type == perp_lorentz_dot) return "perp_lorentz_dot";
+ else return "Measure Type Undefined";
+ }
+
+ /// templated for speed (TODO: probably should remove, since not clear that there is a speed gain)
+ template <int N> std::vector<LightLikeAxis> UpdateAxesFast(const std::vector <LightLikeAxis> & old_axes,
+ const std::vector <fastjet::PseudoJet> & inputJets,
+ double accuracy) const;
+
+ /// called by get_one_pass_axes to update axes iteratively
+ std::vector<LightLikeAxis> UpdateAxes(const std::vector <LightLikeAxis> & old_axes,
+ const std::vector <fastjet::PseudoJet> & inputJets,
+ double accuracy) const;
+};
+
+
+///------------------------------------------------------------------------
+/// \class NormalizedCutoffMeasure
+/// \brief Dimensionless default measure, with radius cutoff
+///
+/// This measure is just a wrapper for DefaultMeasure
+///------------------------------------------------------------------------
+class NormalizedCutoffMeasure : public DefaultMeasure {
+
+public:
+
+ /// Constructor
+ NormalizedCutoffMeasure(double beta, double R0, double Rcutoff, DefaultMeasureType measure_type = pt_R)
+ : DefaultMeasure(beta, R0, Rcutoff, measure_type) {
+ setTauMode(NORMALIZED_JET_SHAPE);
+ }
+
+ /// Description
+ virtual std::string description() const;
+
+ /// For copying purposes
+ virtual NormalizedCutoffMeasure* create() const {return new NormalizedCutoffMeasure(*this);}
+
+};
+
+///------------------------------------------------------------------------
+/// \class NormalizedMeasure
+/// \brief Dimensionless default measure, with no cutoff
+///
+/// This measure is the same as NormalizedCutoffMeasure, with Rcutoff taken to infinity.
+///------------------------------------------------------------------------
+class NormalizedMeasure : public NormalizedCutoffMeasure {
+
+public:
+
+ /// Constructor
+ NormalizedMeasure(double beta, double R0, DefaultMeasureType measure_type = pt_R)
+ : NormalizedCutoffMeasure(beta, R0, std::numeric_limits<double>::max(), measure_type) {
+ _RcutoffSq = std::numeric_limits<double>::max();
+ setTauMode(NORMALIZED_JET_SHAPE);
+ }
+
+ /// Description
+ virtual std::string description() const;
+ /// For copying purposes
+ virtual NormalizedMeasure* create() const {return new NormalizedMeasure(*this);}
+
+};
+
+
+///------------------------------------------------------------------------
+/// \class UnnormalizedCutoffMeasure
+/// \brief Dimensionful default measure, with radius cutoff
+///
+/// This class is the unnormalized conical measure. The only difference from NormalizedCutoffMeasure
+/// is that the denominator is defined to be 1.0 by setting _has_denominator to false.
+/// class UnnormalizedCutoffMeasure : public NormalizedCutoffMeasure {
+///------------------------------------------------------------------------
+class UnnormalizedCutoffMeasure : public DefaultMeasure {
+
+public:
+
+ /// Since all methods are identical, UnnormalizedMeasure inherits directly
+ /// from NormalizedMeasure. R0 is a dummy value since the value of R0 is unecessary for this class,
+ /// and the "false" flag sets _has_denominator in MeasureDefinition to false so no denominator is used.
+ UnnormalizedCutoffMeasure(double beta, double Rcutoff, DefaultMeasureType measure_type = pt_R)
+ : DefaultMeasure(beta, std::numeric_limits<double>::quiet_NaN(), Rcutoff, measure_type) {
+ setTauMode(UNNORMALIZED_EVENT_SHAPE);
+ }
+
+ /// Description
+ virtual std::string description() const;
+ /// For copying purposes
+ virtual UnnormalizedCutoffMeasure* create() const {return new UnnormalizedCutoffMeasure(*this);}
+
+};
+
+
+///------------------------------------------------------------------------
+/// \class UnnormalizedMeasure
+/// \brief Dimensionless default measure, with no cutoff
+///
+/// This measure is the same as UnnormalizedCutoffMeasure, with Rcutoff taken to infinity.
+///------------------------------------------------------------------------
+class UnnormalizedMeasure : public UnnormalizedCutoffMeasure {
+
+public:
+ /// Since all methods are identical, UnnormalizedMeasure inherits directly
+ /// from NormalizedMeasure. R0 is a dummy value since the value of R0 is unecessary for this class,
+ /// and the "false" flag sets _has_denominator in MeasureDefinition to false so no denominator is used.
+ UnnormalizedMeasure(double beta, DefaultMeasureType measure_type = pt_R)
+ : UnnormalizedCutoffMeasure(beta, std::numeric_limits<double>::max(), measure_type) {
+ _RcutoffSq = std::numeric_limits<double>::max();
+ setTauMode(UNNORMALIZED_JET_SHAPE);
+ }
+
+ /// Description
+ virtual std::string description() const;
+
+ /// For copying purposes
+ virtual UnnormalizedMeasure* create() const {return new UnnormalizedMeasure(*this);}
+
+};
+
+
+///------------------------------------------------------------------------
+/// \class ConicalMeasure
+/// \brief Dimensionful event-shape measure, with radius cutoff
+///
+/// Very similar to UnnormalizedCutoffMeasure, but with different normalization convention
+/// and using the new default one-pass minimization algorithm.
+/// Axes are also made to be light-like to ensure sensible behavior
+/// Intended to be used as an event shape.
+///------------------------------------------------------------------------
+class ConicalMeasure : public MeasureDefinition {
+
+public:
+
+ /// Constructor
+ ConicalMeasure(double beta, double Rcutoff)
+ : MeasureDefinition(), _beta(beta), _Rcutoff(Rcutoff), _RcutoffSq(sq(Rcutoff)) {
+ if (beta <= 0) throw Error("ConicalMeasure: You must choose beta > 0.");
+ if (Rcutoff <= 0) throw Error("ConicalMeasure: You must choose Rcutoff > 0.");
+ setTauMode(UNNORMALIZED_EVENT_SHAPE);
+ }
+
+ /// Description
+ virtual std::string description() const;
+ /// For copying purposes
+ virtual ConicalMeasure* create() const {return new ConicalMeasure(*this);}
+
+ /// fast jet distance
+ virtual double jet_distance_squared(const fastjet::PseudoJet& particle, const fastjet::PseudoJet& axis) const {
+ PseudoJet lightAxis = lightFrom(axis);
+ return particle.squared_distance(lightAxis);
+ }
+
+ /// fast beam distance
+ virtual double beam_distance_squared(const fastjet::PseudoJet& /*particle*/) const {
+ return _RcutoffSq;
+ }
+
+
+ /// true jet distance
+ virtual double jet_numerator(const fastjet::PseudoJet& particle, const fastjet::PseudoJet& axis) const {
+ PseudoJet lightAxis = lightFrom(axis);
+ double jet_dist = particle.squared_distance(lightAxis)/_RcutoffSq;
+ double jet_perp = particle.perp();
+
+ if (_beta == 2.0) {
+ return jet_perp * jet_dist;
+ } else {
+ return jet_perp * pow(jet_dist,_beta/2.0);
+ }
+ }
+
+ /// true beam distance
+ virtual double beam_numerator(const fastjet::PseudoJet& particle) const {
+ return particle.perp();
+ }
+
+ /// no denominator used for this measure
+ virtual double denominator(const fastjet::PseudoJet& /*particle*/) const {
+ return std::numeric_limits<double>::quiet_NaN();
+ }
+
+protected:
+ double _beta; ///< angular exponent
+ double _Rcutoff; ///< effective jet radius
+ double _RcutoffSq;///< effective jet radius squared
+};
+
+
+
+///------------------------------------------------------------------------
+/// \class OriginalGeometricMeasure
+/// \brief Dimensionful event-shape measure, with dot-product distances
+///
+/// This class is the original (and hopefully now correctly coded) geometric measure.
+/// This measure is defined by the Lorentz dot product between
+/// the particle and the axis. This class does not include normalization of tau_N.
+/// New in Nsubjettiness v2.2
+/// NOTE: This is defined differently from the DeprecatedGeometricMeasure which are now commented out.
+///------------------------------------------------------------------------
+class OriginalGeometricMeasure : public MeasureDefinition {
+
+public:
+ /// Constructor
+ OriginalGeometricMeasure(double Rcutoff)
+ : MeasureDefinition(), _Rcutoff(Rcutoff), _RcutoffSq(sq(Rcutoff)) {
+ if (Rcutoff <= 0) throw Error("OriginalGeometricMeasure: You must choose Rcutoff > 0.");
+ setTauMode(UNNORMALIZED_EVENT_SHAPE);
+ setAxisScaling(false); // No need to rescale axes (for speed up in one-pass minimization)
+ }
+
+ /// Description
+ virtual std::string description() const;
+ /// For copying purposes
+ virtual OriginalGeometricMeasure* create() const {return new OriginalGeometricMeasure(*this);}
+
+ // This class uses the default jet_distance_squared and beam_distance_squared
+
+ /// true jet measure
+ virtual double jet_numerator(const fastjet::PseudoJet& particle, const fastjet::PseudoJet& axis) const {
+ return dot_product(lightFrom(axis), particle)/_RcutoffSq;
+ }
+
+ /// true beam measure
+ virtual double beam_numerator(const fastjet::PseudoJet& particle) const {
+ fastjet::PseudoJet beam_a(0,0,1,1);
+ fastjet::PseudoJet beam_b(0,0,-1,1);
+ double min_perp = std::min(dot_product(beam_a, particle),dot_product(beam_b, particle));
+ return min_perp;
+ }
+
+ /// no denominator needed for this measure.
+ virtual double denominator(const fastjet::PseudoJet& /*particle*/) const {
+ return std::numeric_limits<double>::quiet_NaN();
+ }
+
+protected:
+ double _Rcutoff; ///< Effective jet radius (rho = R^2)
+ double _RcutoffSq; ///< Effective jet radius squared
+
+};
+
+
+///------------------------------------------------------------------------
+/// \class ModifiedGeometricMeasure
+/// \brief Dimensionful event-shape measure, with dot-product distances, modified beam measure
+///
+/// This class is the Modified geometric measure. This jet measure is defined by the Lorentz dot product between
+/// the particle and the axis, as in the Original Geometric Measure. The beam measure is defined differently from
+/// the above OriginalGeometric to allow for more conical jets. New in Nsubjettiness v2.2
+///------------------------------------------------------------------------
+class ModifiedGeometricMeasure : public MeasureDefinition {
+
+public:
+ /// Constructor
+ ModifiedGeometricMeasure(double Rcutoff)
+ : MeasureDefinition(), _Rcutoff(Rcutoff), _RcutoffSq(sq(Rcutoff)) {
+ if (Rcutoff <= 0) throw Error("ModifiedGeometricMeasure: You must choose Rcutoff > 0.");
+ setTauMode(UNNORMALIZED_EVENT_SHAPE);
+ setAxisScaling(false); // No need to rescale axes (for speed up in one-pass minimization)
+ }
+
+ /// Description
+ virtual std::string description() const;
+ /// For copying purposes
+ virtual ModifiedGeometricMeasure* create() const {return new ModifiedGeometricMeasure(*this);}
+
+ // This class uses the default jet_distance_squared and beam_distance_squared
+
+ /// True jet measure
+ virtual double jet_numerator(const fastjet::PseudoJet& particle, const fastjet::PseudoJet& axis) const {
+ return dot_product(lightFrom(axis), particle)/_RcutoffSq;
+ }
+
+ /// True beam measure
+ virtual double beam_numerator(const fastjet::PseudoJet& particle) const {
+ fastjet::PseudoJet lightParticle = lightFrom(particle);
+ return 0.5*particle.mperp()*lightParticle.pt();
+ }
+
+ /// This measure does not require a denominator
+ virtual double denominator(const fastjet::PseudoJet& /*particle*/) const {
+ return std::numeric_limits<double>::quiet_NaN();
+ }
+
+protected:
+ double _Rcutoff; ///< Effective jet radius (rho = R^2)
+ double _RcutoffSq; ///< Effective jet radius squared
+
+
+};
+
+///------------------------------------------------------------------------
+/// \class ConicalGeometricMeasure
+/// \brief Dimensionful event-shape measure, basis for XCone jet algorithm
+///
+/// This class is the Conical Geometric measure. This measure is defined by the Lorentz dot product between
+/// the particle and the axis normalized by the axis and particle pT, as well as a factor of cosh(y) to vary
+/// the rapidity depepdence of the beam. New in Nsubjettiness v2.2, and the basis for the XCone jet algorithm
+///------------------------------------------------------------------------
+class ConicalGeometricMeasure : public MeasureDefinition {
+
+public:
+
+ /// Constructor
+ ConicalGeometricMeasure(double jet_beta, double beam_gamma, double Rcutoff)
+ : MeasureDefinition(), _jet_beta(jet_beta), _beam_gamma(beam_gamma), _Rcutoff(Rcutoff), _RcutoffSq(sq(Rcutoff)){
+ if (jet_beta <= 0) throw Error("ConicalGeometricMeasure: You must choose beta > 0.");
+ if (beam_gamma <= 0) throw Error("ConicalGeometricMeasure: You must choose gamma > 0.");
+ if (Rcutoff <= 0) throw Error("ConicalGeometricMeasure: You must choose Rcutoff > 0.");
+ setTauMode(UNNORMALIZED_EVENT_SHAPE);
+ }
+
+ /// Description
+ virtual std::string description() const;
+ /// For copying purposes
+ virtual ConicalGeometricMeasure* create() const {return new ConicalGeometricMeasure(*this);}
+
+ /// fast jet measure
+ virtual double jet_distance_squared(const fastjet::PseudoJet& particle, const fastjet::PseudoJet& axis) const {
+ fastjet::PseudoJet lightAxis = lightFrom(axis);
+ double pseudoRsquared = 2.0*dot_product(lightFrom(axis),particle)/(lightAxis.pt()*particle.pt());
+ return pseudoRsquared;
+ }
+
+ /// fast beam measure
+ virtual double beam_distance_squared(const fastjet::PseudoJet& /*particle*/) const {
+ return _RcutoffSq;
+ }
+
+ /// true jet measure
+ virtual double jet_numerator(const fastjet::PseudoJet& particle, const fastjet::PseudoJet& axis) const {
+ double jet_dist = jet_distance_squared(particle,axis)/_RcutoffSq;
+ if (jet_dist > 0.0) {
+ fastjet::PseudoJet lightParticle = lightFrom(particle);
+ double weight = (_beam_gamma == 1.0) ? 1.0 : std::pow(0.5*lightParticle.pt(),_beam_gamma - 1.0);
+ return particle.pt() * weight * std::pow(jet_dist,_jet_beta/2.0);
+ } else {
+ return 0.0;
+ }
+ }
+
+ /// true beam measure
+ virtual double beam_numerator(const fastjet::PseudoJet& particle) const {
+ fastjet::PseudoJet lightParticle = lightFrom(particle);
+ double weight = (_beam_gamma == 1.0) ? 1.0 : std::pow(0.5*lightParticle.pt(),_beam_gamma - 1.0);
+ return particle.pt() * weight;
+ }
+
+ /// no denominator needed
+ virtual double denominator(const fastjet::PseudoJet& /*particle*/) const {
+ return std::numeric_limits<double>::quiet_NaN();
+ }
+
+protected:
+ double _jet_beta; ///< jet angular exponent
+ double _beam_gamma; ///< beam angular exponent (gamma = 1.0 is recommended)
+ double _Rcutoff; ///< effective jet radius
+ double _RcutoffSq; ///< effective jet radius squared
+
+};
+
+///------------------------------------------------------------------------
+/// \class XConeMeasure
+/// \brief Dimensionful event-shape measure used in XCone jet algorithm
+///
+/// This class is the XCone Measure. This is the default measure for use with the
+/// XCone algorithm. It is identical to the conical geometric measure but with gamma = 1.0.
+///------------------------------------------------------------------------
+class XConeMeasure : public ConicalGeometricMeasure {
+
+public:
+ /// Constructor
+ XConeMeasure(double jet_beta, double R)
+ : ConicalGeometricMeasure(jet_beta,
+ 1.0, // beam_gamma, hard coded at gamma = 1.0 default
+ R // Rcutoff scale
+ ) { }
+
+ /// Description
+ virtual std::string description() const;
+ /// For copying purposes
+ virtual XConeMeasure* create() const {return new XConeMeasure(*this);}
+
+};
+
+///------------------------------------------------------------------------
+/// \class LightLikeAxis
+/// \brief Helper class to define light-like axes directions
+///
+/// This is a helper class for the minimization routines.
+/// It creates a convenient way of defining axes in order to better facilitate calculations.
+///------------------------------------------------------------------------
+class LightLikeAxis {
+
+public:
+ /// Bare constructor
+ LightLikeAxis() : _rap(0.0), _phi(0.0), _weight(0.0), _mom(0.0) {}
+ /// Constructor
+ LightLikeAxis(double my_rap, double my_phi, double my_weight, double my_mom) :
+ _rap(my_rap), _phi(my_phi), _weight(my_weight), _mom(my_mom) {}
+
+ /// Rapidity
+ double rap() const {return _rap;}
+ /// Azimuth
+ double phi() const {return _phi;}
+ /// weight factor
+ double weight() const {return _weight;}
+ /// pt momentum
+ double mom() const {return _mom;}
+
+ /// set rapidity
+ void set_rap(double my_set_rap) {_rap = my_set_rap;}
+ /// set azimuth
+ void set_phi(double my_set_phi) {_phi = my_set_phi;}
+ /// set weight factor
+ void set_weight(double my_set_weight) {_weight = my_set_weight;}
+ /// set pt momentum
+ void set_mom(double my_set_mom) {_mom = my_set_mom;}
+ /// set all kinematics
+ void reset(double my_rap, double my_phi, double my_weight, double my_mom) {_rap=my_rap; _phi=my_phi; _weight=my_weight; _mom=my_mom;}
+
+ /// Return PseudoJet version
+ fastjet::PseudoJet ConvertToPseudoJet();
+
+ /// Squared distance to PseudoJet
+ double DistanceSq(const fastjet::PseudoJet& input) const {
+ return DistanceSq(input.rap(),input.phi());
+ }
+
+ /// Distance to PseudoJet
+ double Distance(const fastjet::PseudoJet& input) const {
+ return std::sqrt(DistanceSq(input));
+ }
+
+ /// Squared distance to Lightlikeaxis
+ double DistanceSq(const LightLikeAxis& input) const {
+ return DistanceSq(input.rap(),input.phi());
+ }
+
+ /// Distance to Lightlikeaxis
+ double Distance(const LightLikeAxis& input) const {
+ return std::sqrt(DistanceSq(input));
+ }
+
+private:
+ double _rap; ///< rapidity
+ double _phi; ///< azimuth
+ double _weight; ///< weight factor
+ double _mom; ///< pt momentum
+
+ /// Internal squared distance calculation
+ double DistanceSq(double rap2, double phi2) const {
+ double rap1 = _rap;
+ double phi1 = _phi;
+
+ double distRap = rap1-rap2;
+ double distPhi = std::fabs(phi1-phi2);
+ if (distPhi > M_PI) {distPhi = 2.0*M_PI - distPhi;}
+ return distRap*distRap + distPhi*distPhi;
+ }
+
+ /// Internal distance calculation
+ double Distance(double rap2, double phi2) const {
+ return std::sqrt(DistanceSq(rap2,phi2));
+ }
+
+};
+
+
+////------------------------------------------------------------------------
+///// \class DeprecatedGeometricCutoffMeasure
+//// This class is the old, incorrectly coded geometric measure.
+//// It is kept in case anyone wants to check old code, but should not be used for production purposes.
+//class DeprecatedGeometricCutoffMeasure : public MeasureDefinition {
+//
+//public:
+//
+// // Please, please don't use this.
+// DeprecatedGeometricCutoffMeasure(double jet_beta, double Rcutoff)
+// : MeasureDefinition(),
+// _jet_beta(jet_beta),
+// _beam_beta(1.0), // This is hard coded, since alternative beta_beam values were never checked.
+// _Rcutoff(Rcutoff),
+// _RcutoffSq(sq(Rcutoff)) {
+// setTauMode(UNNORMALIZED_EVENT_SHAPE);
+// setAxisScaling(false);
+// if (jet_beta != 2.0) {
+// throw Error("Geometric minimization is currently only defined for beta = 2.0.");
+// }
+// }
+//
+// virtual std::string description() const;
+//
+// virtual DeprecatedGeometricCutoffMeasure* create() const {return new DeprecatedGeometricCutoffMeasure(*this);}
+//
+// virtual double jet_distance_squared(const fastjet::PseudoJet& particle, const fastjet::PseudoJet& axis) const {
+// fastjet::PseudoJet lightAxis = lightFrom(axis);
+// double pseudoRsquared = 2.0*dot_product(lightFrom(axis),particle)/(lightAxis.pt()*particle.pt());
+// return pseudoRsquared;
+// }
+//
+// virtual double beam_distance_squared(const fastjet::PseudoJet& /*particle*/) const {
+// return _RcutoffSq;
+// }
+//
+// virtual double jet_numerator(const fastjet::PseudoJet& particle, const fastjet::PseudoJet& axis) const {
+// fastjet::PseudoJet lightAxis = lightFrom(axis);
+// double weight = (_beam_beta == 1.0) ? 1.0 : std::pow(lightAxis.pt(),_beam_beta - 1.0);
+// return particle.pt() * weight * std::pow(jet_distance_squared(particle,axis),_jet_beta/2.0);
+// }
+//
+// virtual double beam_numerator(const fastjet::PseudoJet& particle) const {
+// double weight = (_beam_beta == 1.0) ? 1.0 : std::pow(particle.pt()/particle.e(),_beam_beta - 1.0);
+// return particle.pt() * weight * std::pow(_Rcutoff,_jet_beta);
+// }
+//
+// virtual double denominator(const fastjet::PseudoJet& /*particle*/) const {
+// return std::numeric_limits<double>::quiet_NaN();
+// }
+//
+// virtual std::vector<fastjet::PseudoJet> get_one_pass_axes(int n_jets,
+// const std::vector<fastjet::PseudoJet>& inputs,
+// const std::vector<fastjet::PseudoJet>& seedAxes,
+// int nAttempts, // cap number of iterations
+// double accuracy // cap distance of closest approach
+// ) const;
+//
+//protected:
+// double _jet_beta;
+// double _beam_beta;
+// double _Rcutoff;
+// double _RcutoffSq;
+//
+//};
+//
+//// ------------------------------------------------------------------------
+//// / \class DeprecatedGeometricMeasure
+//// Same as DeprecatedGeometricMeasureCutoffMeasure, but with Rcutoff taken to infinity.
+//// NOTE: This class should not be used for production purposes.
+//class DeprecatedGeometricMeasure : public DeprecatedGeometricCutoffMeasure {
+//
+//public:
+// DeprecatedGeometricMeasure(double beta)
+// : DeprecatedGeometricCutoffMeasure(beta,std::numeric_limits<double>::max()) {
+// _RcutoffSq = std::numeric_limits<double>::max();
+// setTauMode(UNNORMALIZED_JET_SHAPE);
+// }
+//
+// virtual std::string description() const;
+//
+// virtual DeprecatedGeometricMeasure* create() const {return new DeprecatedGeometricMeasure(*this);}
+//};
+
+
+} //namespace Nsubjettiness
+
+}
+
+#endif // __FASTJET_CONTRIB_MEASUREDEFINITION_HH__
diff --git a/include/Rivet/Tools/Nsubjettiness/Njettiness.hh b/include/Rivet/Tools/Nsubjettiness/Njettiness.hh
new file mode 100644
--- /dev/null
+++ b/include/Rivet/Tools/Nsubjettiness/Njettiness.hh
@@ -0,0 +1,265 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: Njettiness.hh 822 2015-06-15 23:52:57Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#ifndef __FASTJET_CONTRIB_NJETTINESS_HH__
+#define __FASTJET_CONTRIB_NJETTINESS_HH__
+
+
+#include "MeasureDefinition.hh"
+#include "AxesDefinition.hh"
+#include "TauComponents.hh"
+
+#include "fastjet/PseudoJet.hh"
+#include "fastjet/SharedPtr.hh"
+#include <fastjet/LimitedWarning.hh>
+
+#include <cmath>
+#include <vector>
+#include <list>
+
+namespace Rivet {
+
+namespace Nsubjettiness { using namespace fastjet;
+
+/** \mainpage Nsubjettiness Documentation
+ *
+ * These Doxygen pages provide automatically generated documentation for the
+ * Nsubjettiness FastJet contrib. This documentation is being slowly improved.
+ *
+ * \section core_classes Core Classes
+ *
+ * - Nsubjettiness: Calculating N-subjettiness jet shapes
+ * - NsubjettinessRatio: Calculating N-subjettiness ratios
+ * - XConePlugin: Running the XCone jet algorithm
+ * - NjettinessPlugin: Running generic N-jettiness as a jet algorithm
+ *
+ * \subsection core_classes_helper Helper Classes for Core
+ * - Njettiness: Core code for all N-(sub)jettiness calculations
+ * - NjettinessExtras: Way to access additional N-jettiness information
+ * - TauComponents: Output format for all N-(sub)jettiness information
+ * - TauPartition: Access to N-(sub)jettiness partitioning information
+ * - PseudoXConePlugin: Testing code to compare to XConePlugin (doesn't use one-pass minimization)
+ *
+ * \section axes_classes Axes Definitions
+ *
+ * \subsection axes_classes_base Base Classes
+ * - AxesDefinition: Defines generic axes definition
+ * - ExclusiveJetAxes: Axes finder from exclusive jet algorithm
+ * - ExclusiveCombinatorialJetAxes: Axes finder from exclusive jet algorithm (with extra axes to test combinatoric options)
+ * - HardestJetAxes: Axes finder from inclusive jet algorithm
+ *
+ * \subsection axes_classes_derived Derived Classes
+ *
+ * \b OnePass means iterative improvement to a (local) N-(sub)jettiness minimum.
+ *
+ * \b MultiPass means using multiple random seed inputs
+ *
+ * \b Comb means checking N + Nextra choose N combinatorial options
+ *
+ * - KT_Axes / OnePass_KT_Axes: Axes from exclusive kT
+ * - CA_Axes / OnePass_CA_Axes: Axes from exclusive Cambridge/Aachen
+ * - AntiKT_Axes / OnePass_AntiKT_Axes: Axes from inclusive anti-kT
+ * - WTA_KT_Axes / OnePass_WTA_KT_Axes: Axes from exclusive kT, using winner-take-all recombination
+ * - WTA_CA_Axes / OnePass_WTA_CA_Axes: Axes from exclusive CA, using winner-take-all recombination
+ *
+ * - GenET_GenKT_Axes / OnePass_GenET_GenKT_Axes / Comb_GenET_GenKT_Axes: Axes from exclusive generalized kt, with generalized Et recombination
+ * - WTA_GenKT_Axes / OnePass_WTA_GenKT_Axes / Comb_WTA_GenKT_Axes: Axes from exclusive generalized kt, with winner-take-all recombination
+ *
+ * - Manual_Axes / OnePass_Manual_Axes / MultiPass_Manual_Axes: Use manual axes
+ * - MultiPass_Axes: Multiple passes with random input seeds
+ *
+ * \subsection axes_classes_helper Helper Classes for Axes
+ * - GeneralEtSchemeRecombiner: Generalized Et-scheme recombiner
+ * - WinnerTakeAllRecombiner: Winner-take-all recombiner (similar functionality now in FastJet 3.1)
+ * - JetDefinitionWrapper: Wrapper for Jet Definitions to handle memory management
+ *
+ * \section measure_classes Measure Definitions
+ *
+ * \subsection measure_classes_bases Base Classes
+ * - MeasureDefinition: Defines generic measures
+ * - DefaultMeasure: Base class for the original N-subjettiness measures
+ *
+ * \subsection measure_classes_derived Derived Classes
+ * - NormalizedMeasure / UnnormalizedMeasure / NormalizedCutoffMeasure / UnnormalizedCutoffMeasure : Variants on the default N-subjettiness measure.
+ * - ConicalMeasure: Similar to default measure, but intended as N-jettiness event shape
+ * - ConicalGeometricMeasure / XConeMeasure: Measure used in XCone jet algorithm
+ * - OriginalGeometricMeasure / ModifiedGeometricMeasure: Dot product measures useful for theoretical calcualtions
+ *
+ * \subsection measure_classes_helper Helper Classes for Measures
+ * - LightLikeAxis : Defines light-like axis
+ */
+
+///////
+//
+// Main Njettiness Class
+//
+///////
+
+///------------------------------------------------------------------------
+/// \class Njettiness
+/// \brief Core class for N-(sub)jettiness calculations
+///
+/**
+ * The N-jettiness event shape.
+ *
+ * This is the core class used to perform N-jettiness jet finding (via NjettinessPlugin or XConePluggin)
+ * as well as find the N-subjettiness jet shape (via Nsubjettiness).
+ *
+ * In general, the user should never need to call this object. In addition, its API should not be considered
+ * fixed, since all code improvements effectively happen from reorganizing this class.
+ *
+ * Njettiness uses AxesDefinition and MeasureDefinition together in order to find tau_N for the event.
+ * It also can return information about the axes and jets it used in the calculation, as well as
+ * information about how the event was partitioned.
+ */
+class Njettiness {
+public:
+
+ /// Main constructor that uses AxesMode and MeasureDefinition to specify measure
+ /// Unlike Nsubjettiness or NjettinessPlugin, the value N is not chosen
+ Njettiness(const AxesDefinition & axes_def, const MeasureDefinition & measure_def);
+
+ /// Destructor
+ ~Njettiness() {};
+
+ /// setAxes for Manual mode
+ void setAxes(const std::vector<fastjet::PseudoJet> & myAxes);
+
+ /// Calculates and returns all TauComponents that user would want.
+ /// This information is stored in _current_tau_components for later access as well.
+ TauComponents getTauComponents(unsigned n_jets, const std::vector<fastjet::PseudoJet> & inputJets) const;
+
+ /// Calculates the value of N-subjettiness,
+ /// but only returns the tau value from _current_tau_components
+ double getTau(unsigned n_jets, const std::vector<fastjet::PseudoJet> & inputJets) const {
+ return getTauComponents(n_jets, inputJets).tau();
+ }
+
+ /// Return all relevant information about tau components
+ TauComponents currentTauComponents() const {return _current_tau_components;}
+ /// Return axes found by getTauComponents.
+ std::vector<fastjet::PseudoJet> currentAxes() const { return _currentAxes;}
+ /// Return seedAxes used if onepass minimization (otherwise, same as currentAxes)
+ std::vector<fastjet::PseudoJet> seedAxes() const { return _seedAxes;}
+ /// Return jet partition found by getTauComponents.
+ std::vector<fastjet::PseudoJet> currentJets() const {return _currentPartition.jets();}
+ /// Return beam partition found by getTauComponents.
+ fastjet::PseudoJet currentBeam() const {return _currentPartition.beam();}
+ /// Return beam partition found by getTauComponents.
+ TauPartition currentPartition() const {return _currentPartition;}
+
+
+private:
+
+ /// AxesDefinition to use. Implemented as SharedPtrs to avoid memory management headaches
+ SharedPtr<const AxesDefinition> _axes_def;
+ /// MeasureDefinition to use. Implemented as SharedPtrs to avoid memory management headaches
+ SharedPtr<const MeasureDefinition> _measure_def;
+
+
+ // Information about the current information
+ // Defined as mutables, so user should be aware that these change when getTau is called.
+ // TODO: These are not thread safe and should be fixed somehow
+ mutable TauComponents _current_tau_components; //automatically set to have components of 0; these values will be set by the getTau function call
+ mutable std::vector<fastjet::PseudoJet> _currentAxes; //axes found after minimization
+ mutable std::vector<fastjet::PseudoJet> _seedAxes; // axes used prior to minimization (if applicable)
+ mutable TauPartition _currentPartition; //partitioning information
+
+ /// Warning if the user tries to use v1.0.3 measure style.
+ static LimitedWarning _old_measure_warning;
+ /// Warning if the user tries to use v1.0.3 axes style.
+ static LimitedWarning _old_axes_warning;
+
+
+public:
+
+ // These interfaces are included for backwards compability, and will be deprecated in a future release (scheduled for deletion in v3.0)
+
+ /// \deprecated
+ /// Deprecated enum to determine axes mode
+ /// The various axes choices available to the user
+ /// It is recommended to use AxesDefinition instead of these.
+ enum AxesMode {
+ kt_axes, // exclusive kt axes
+ ca_axes, // exclusive ca axes
+ antikt_0p2_axes, // inclusive hardest axes with antikt-0.2
+ wta_kt_axes, // Winner Take All axes with kt
+ wta_ca_axes, // Winner Take All axes with CA
+ onepass_kt_axes, // one-pass minimization from kt starting point
+ onepass_ca_axes, // one-pass minimization from ca starting point
+ onepass_antikt_0p2_axes, // one-pass minimization from antikt-0.2 starting point
+ onepass_wta_kt_axes, //one-pass minimization of WTA axes with kt
+ onepass_wta_ca_axes, //one-pass minimization of WTA axes with ca
+ min_axes, // axes that minimize N-subjettiness (100 passes by default)
+ manual_axes, // set your own axes with setAxes()
+ onepass_manual_axes // one-pass minimization from manual starting point
+ };
+
+ /// \deprecated
+ /// Deprecated enum to determine measure mode
+ /// The measures available to the user.
+ /// "normalized_cutoff_measure" was the default in v1.0 of Nsubjettiness
+ /// "unnormalized_measure" is now the recommended default usage
+ /// But it is recommended to use MeasureDefinition instead of these.
+ enum MeasureMode {
+ normalized_measure, //default normalized measure
+ unnormalized_measure, //default unnormalized measure
+ geometric_measure, //geometric measure
+ normalized_cutoff_measure, //default normalized measure with explicit Rcutoff
+ unnormalized_cutoff_measure, //default unnormalized measure with explicit Rcutoff
+ geometric_cutoff_measure //geometric measure with explicit Rcutoff
+ };
+
+ /// \deprecated
+ /// Intermediate constructor (needed to enable v1.0.3 backwards compatibility?)
+ Njettiness(AxesMode axes_mode, const MeasureDefinition & measure_def);
+
+ /// \deprecated
+ /// Old-style constructor which takes axes/measure information as enums with measure parameters
+ /// This version absolutely is not recommended
+ Njettiness(AxesMode axes_mode,
+ MeasureMode measure_mode,
+ int num_para,
+ double para1 = std::numeric_limits<double>::quiet_NaN(),
+ double para2 = std::numeric_limits<double>::quiet_NaN(),
+ double para3 = std::numeric_limits<double>::quiet_NaN())
+ : _axes_def(createAxesDef(axes_mode)), _measure_def(createMeasureDef(measure_mode, num_para, para1, para2, para3)) {
+ }
+
+ /// \deprecated
+ /// Convert old style enums into new style MeasureDefinition
+ AxesDefinition* createAxesDef(AxesMode axes_mode) const;
+
+ /// \deprecated
+ /// Convert old style enums into new style MeasureDefinition
+ MeasureDefinition* createMeasureDef(MeasureMode measure_mode, int num_para, double para1, double para2, double para3) const;
+
+};
+
+} // namespace Nsubjettiness
+
+}
+
+#endif // __FASTJET_CONTRIB_NJETTINESS_HH__
+
diff --git a/include/Rivet/Tools/Nsubjettiness/NjettinessPlugin.hh b/include/Rivet/Tools/Nsubjettiness/NjettinessPlugin.hh
new file mode 100644
--- /dev/null
+++ b/include/Rivet/Tools/Nsubjettiness/NjettinessPlugin.hh
@@ -0,0 +1,181 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: NjettinessPlugin.hh 822 2015-06-15 23:52:57Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#ifndef __FASTJET_CONTRIB_NJETTINESSPLUGIN_HH__
+#define __FASTJET_CONTRIB_NJETTINESSPLUGIN_HH__
+
+#include <fastjet/config.h>
+
+#include "Njettiness.hh"
+#include "MeasureDefinition.hh"
+#include "AxesDefinition.hh"
+#include "TauComponents.hh"
+
+#include "fastjet/ClusterSequence.hh"
+#include "fastjet/JetDefinition.hh"
+
+#include <string>
+#include <climits>
+
+namespace Rivet {
+
+
+namespace Nsubjettiness { using namespace fastjet;
+
+
+/// \class NjettinessPlugin
+/// \brief Implements the N-jettiness Jet Algorithm
+/**
+ * An exclusive jet finder that identifies N jets; first N axes are found, then
+ * particles are assigned to the nearest (DeltaR) axis and for each axis the
+ * corresponding jet is simply the four-momentum sum of these particles.
+ *
+ * As of version 2.2, it is recommended to use the XConePlugin, which has
+ * sensible default values for jet finding.
+ *
+ * Axes can be found in several ways, specified by the AxesDefinition argument.
+ * The recommended AxesDefinitions for jet finding (different than for jet shapes)
+ * OnePass_AntiKT(R0) : one-pass minimization from anti-kT starting point
+ * OnePass_GenET_GenKT_Axes(delta, p, R0) : one-pass min. from GenET/KT
+ * OnePass_WTA_GenKT_Axes(p, R0) : one-pass min from WTA/GenKT
+ * For recommendations on which axes to use, please see the README file.
+ *
+ * Jet regions are determined by the MeasureDefinition. The recommended choices
+ * for jet finding are
+ * ConicalMeasure(beta,R0) : perfect cones in rapidity/azimuth plane
+ * XConeMeasure(beta,R0) : approximate cones based on dot product distances.
+ *
+ * Other measures introduced in version 2.2 include OriginalGeometricMeasure,
+ * ModifiedGeometricMeasure, and ConicalGeometricMeasure, which define N-jettiness
+ * through dot products of particle momenta with light-like axes. OriginalGeometricMeasure
+ * produces football-shaped jets due to its central weighting of the beam measure,
+ * but ModifiedGeometric and ConicalGeometric both deform the original geometric measure
+ * to allow for cone-shaped jets. The size of these cones can be controlled through Rcutoff
+ * just as in the other measures. See the README file or MeasureDefinition.hh for information
+ * on how to call these measures.
+ *
+ */
+class NjettinessPlugin : public JetDefinition::Plugin {
+public:
+
+ /// Constructor with same arguments as Nsubjettiness (N, AxesDefinition, MeasureDefinition)
+ NjettinessPlugin(int N,
+ const AxesDefinition & axes_def,
+ const MeasureDefinition & measure_def)
+ : _njettinessFinder(axes_def, measure_def), _N(N) {}
+
+
+ /// Description
+ virtual std::string description () const;
+ /// Jet radius (this does not make sense yet)
+ virtual double R() const {return -1.0;} // TODO: make this not stupid
+
+ /// The actually clustering, which first called Njettiness and then creates a dummy ClusterSequence
+ virtual void run_clustering(ClusterSequence&) const;
+
+ /// For using manual axes with Njettiness Plugin
+ void setAxes(const std::vector<fastjet::PseudoJet> & myAxes) {
+ // Cross check that manual axes are being used is in Njettiness
+ _njettinessFinder.setAxes(myAxes);
+ }
+
+ /// Destructor
+ virtual ~NjettinessPlugin() {}
+
+private:
+
+ Njettiness _njettinessFinder; ///< The core Njettiness that does the heavy lifting
+ int _N; ///< Number of exclusive jets to find.
+
+ /// Warning if the user tries to use v1.0.3 constructor.
+ static LimitedWarning _old_constructor_warning;
+
+public:
+
+ // Alternative constructors that define the measure via enums and parameters
+ // These constructors are deprecated and will be removed in a future version.
+
+ /// \deprecated
+ /// Old-style constructor with 0 arguments (DEPRECATED)
+ NjettinessPlugin(int N,
+ Njettiness::AxesMode axes_mode,
+ Njettiness::MeasureMode measure_mode)
+ : _njettinessFinder(axes_mode, measure_mode, 0), _N(N) {
+ _old_constructor_warning.warn("NjettinessPlugin: You are using the old style constructor. This is deprecated as of v2.1 and will be removed in v3.0. Please use the NjettinessPlugin constructor based on AxesDefinition and MeasureDefinition instead.");
+ }
+
+ /// \deprecated
+ /// Old-style constructor with 1 argument (DEPRECATED)
+ NjettinessPlugin(int N,
+ Njettiness::AxesMode axes_mode,
+ Njettiness::MeasureMode measure_mode,
+ double para1)
+ : _njettinessFinder(axes_mode, measure_mode, 1, para1), _N(N) {
+ _old_constructor_warning.warn("NjettinessPlugin: You are using the old style constructor. This is deprecated as of v2.1 and will be removed in v3.0. Please use the NjettinessPlugin constructor based on AxesDefinition and MeasureDefinition instead.");
+
+ }
+
+ /// \deprecated
+ /// Old-style constructor with 2 arguments (DEPRECATED)
+ NjettinessPlugin(int N,
+ Njettiness::AxesMode axes_mode,
+ Njettiness::MeasureMode measure_mode,
+ double para1,
+ double para2)
+ : _njettinessFinder(axes_mode, measure_mode, 2, para1, para2), _N(N) {
+ _old_constructor_warning.warn("NjettinessPlugin: You are using the old style constructor. This is deprecated as of v2.1 and will be removed in v3.0. Please use the NjettinessPlugin constructor based on AxesDefinition and MeasureDefinition instead.");
+
+ }
+
+ /// \deprecated
+ /// Old-style constructor with 3 arguments (DEPRECATED)
+ NjettinessPlugin(int N,
+ Njettiness::AxesMode axes_mode,
+ Njettiness::MeasureMode measure_mode,
+ double para1,
+ double para2,
+ double para3)
+ : _njettinessFinder(axes_mode, measure_mode, 3, para1, para2, para3), _N(N) {
+ _old_constructor_warning.warn("NjettinessPlugin: You are using the old style constructor. This is deprecated as of v2.1 and will be removed in v3.0. Please use the NjettinessPlugin constructor based on AxesDefinition and MeasureDefinition instead.");
+ }
+
+ /// \deprecated
+ /// Old-style constructor for backwards compatibility with v1.0, when NormalizedCutoffMeasure was the only option
+ NjettinessPlugin(int N,
+ Njettiness::AxesMode mode,
+ double beta,
+ double R0,
+ double Rcutoff=std::numeric_limits<double>::max())
+ : _njettinessFinder(mode, NormalizedCutoffMeasure(beta, R0, Rcutoff)), _N(N) {
+ _old_constructor_warning.warn("NjettinessPlugin: You are using the old style constructor. This is deprecated as of v2.1 and will be removed in v3.0. Please use the NjettinessPlugin constructor based on AxesDefinition and MeasureDefinition instead.");
+ }
+
+
+};
+
+} // namespace Nsubjettiness
+
+}
+
+#endif // __FASTJET_CONTRIB_NJETTINESSPLUGIN_HH__
diff --git a/include/Rivet/Tools/Nsubjettiness/Nsubjettiness.hh b/include/Rivet/Tools/Nsubjettiness/Nsubjettiness.hh
new file mode 100644
--- /dev/null
+++ b/include/Rivet/Tools/Nsubjettiness/Nsubjettiness.hh
@@ -0,0 +1,301 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: Nsubjettiness.hh 822 2015-06-15 23:52:57Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#ifndef __FASTJET_CONTRIB_NSUBJETTINESS_HH__
+#define __FASTJET_CONTRIB_NSUBJETTINESS_HH__
+
+#include <fastjet/internal/base.hh>
+
+#include "Njettiness.hh"
+
+#include "fastjet/FunctionOfPseudoJet.hh"
+#include <string>
+#include <climits>
+
+namespace Rivet {
+
+namespace Nsubjettiness { using namespace fastjet;
+
+// Classes defined in this file.
+class Nsubjettiness;
+class NsubjettinessRatio;
+
+///------------------------------------------------------------------------
+/// \class Nsubjettiness
+/// \brief Implements the N-subjettiness jet shape
+///
+/**
+ * The N-jettiness jet shape.
+ *
+ * Nsubjettiness extends the concept of Njettiness to a jet shape, but other
+ * than the set of particles considered, they are identical. This class
+ * wraps the core Njettiness code to provide the fastjet::FunctionOfPseudoJet
+ * interface for convenience in larger analyses.
+ *
+ * The recommended AxesDefinitions are:
+ * KT_Axes : exclusive kt axes
+ * WTA_KT_Axes : exclusive kt with winner-take-all recombination
+ * OnePass_KT_Axes : one-pass minimization from kt starting point
+ * OnePass_WTA_KT_Axes : one-pass min. from wta_kt starting point
+ * More AxesDefinitions are listed in the README and defined in AxesDefinition.hh
+ *
+ * The recommended MeasureDefinitions are (with the corresponding parameters)
+ * NormalizedMeasure(beta,R0)
+ * : This was the original N-subjettiness measure (dimensionless)
+ * UnnormalizedMeasure(beta)
+ * : This is the new recommended default, same as above but without
+ * : the normalization factor, and hence has units of GeV
+ * NormalizedCutoffMeasure(beta,R0,Rcutoff)
+ * : Same as normalized_measure, but cuts off at Rcutoff
+ * UnnormalizedCutoffMeasure(beta,Rcutoff)
+ * : Same as unnormalized_measure, but cuts off at Rcutoff
+ * More MeasureDefinitions are listed in the README and defined in MeasureDefinition.hh
+ *
+ * For example, for the UnnormalizedMeasure(beta), N-subjettiness is defined as:
+ *
+ * tau_N = Sum_{i in jet} p_T^i min((DR_i1)^beta, (DR_i2)^beta, ...)
+ *
+ * DR_ij is the distance sqrt(Delta_phi^2 + Delta_rap^2) between particle i
+ * and jet j.
+ *
+ * The NormalizedMeausure include an extra parameter R0, and the various cutoff
+ * measures include an Rcutoff, which effectively defines an angular cutoff
+ * similar in effect to a cone-jet radius.
+ */
+class Nsubjettiness : public FunctionOfPseudoJet<double> {
+
+public:
+
+ /// Main constructor, which takes N, the AxesDefinition, and the MeasureDefinition.
+ /// The Definitions are given in AxesDefinition.hh and MeasureDefinition.hh
+ Nsubjettiness(int N,
+ const AxesDefinition& axes_def,
+ const MeasureDefinition& measure_def)
+ : _njettinessFinder(axes_def,measure_def), _N(N) {}
+
+ /// Returns tau_N, measured on the constituents of this jet
+ double result(const PseudoJet& jet) const;
+
+ /// Returns components of tau_N, so that user can find individual tau values.
+ TauComponents component_result(const PseudoJet& jet) const;
+
+ /// To set axes in manual mode
+ void setAxes(const std::vector<fastjet::PseudoJet> & myAxes) {
+ // Note that cross check that manual mode has been set is in Njettiness
+ _njettinessFinder.setAxes(myAxes);
+ }
+
+ /// returns seed axes used for onepass minimization (otherwise same as currentAxes)
+ std::vector<fastjet::PseudoJet> seedAxes() const {
+ return _njettinessFinder.seedAxes();
+ }
+
+ /// returns current axes found by result() calculation
+ std::vector<fastjet::PseudoJet> currentAxes() const {
+ return _njettinessFinder.currentAxes();
+ }
+
+ /// returns subjet regions found by result() calculation (these have valid constituents)
+ /// Note that the axes and the subjets are not the same
+ std::vector<fastjet::PseudoJet> currentSubjets() const {
+ return _njettinessFinder.currentJets();
+ }
+
+ /// returns components of tau_N without recalculating anything
+ TauComponents currentTauComponents() const {
+ return _njettinessFinder.currentTauComponents();
+ }
+
+ /// returns components of tau_N without recalculating anything
+ TauPartition currentPartition() const {
+ return _njettinessFinder.currentPartition();
+ }
+
+private:
+
+ /// Core Njettiness code that is called
+ Njettiness _njettinessFinder; // TODO: should muck with this so result can be const without this mutable
+ /// Number of subjets to find
+ int _N;
+
+ /// Warning if the user tries to use v1.0.3 constructor.
+ static LimitedWarning _old_constructor_warning;
+
+public:
+
+ // The following interfaces are included for backwards compatibility, but no longer recommended.
+ // They may be deleted in a future release
+
+ /// \deprecated
+ /// Alternative constructors that define the measure via enums and parameters
+ /// These constructors will be removed in v3.0
+ /// Zero parameter arguments
+ /// (Currently, no measure uses this)
+ Nsubjettiness(int N,
+ Njettiness::AxesMode axes_mode,
+ Njettiness::MeasureMode measure_mode)
+ : _njettinessFinder(axes_mode, measure_mode, 0), _N(N) {
+ _old_constructor_warning.warn("Nsubjettiness: You are using the old style constructor. This is deprecated as of v2.1 and will be removed in v3.0. Please use the Nsubjettiness constructor based on AxesDefinition and MeasureDefinition instead.");
+ }
+
+ /// \deprecated
+ /// Construcotr for one parameter argument
+ /// (for unnormalized_measure, para1=beta)
+ Nsubjettiness(int N,
+ Njettiness::AxesMode axes_mode,
+ Njettiness::MeasureMode measure_mode,
+ double para1)
+ : _njettinessFinder(axes_mode, measure_mode, 1, para1), _N(N) {
+ _old_constructor_warning.warn("Nsubjettiness: You are using the old style constructor. This is deprecated as of v2.1 and will be removed in v3.0. Please use the Nsubjettiness constructor based on AxesDefinition and MeasureDefinition instead.");
+ }
+
+ /// \deprecated
+ /// Constructor for two parameter arguments
+ /// (for normalized_measure, para1=beta, para2=R0)
+ /// (for unnormalized_cutoff_measure, para1=beta, para2=Rcutoff)
+ Nsubjettiness(int N,
+ Njettiness::AxesMode axes_mode,
+ Njettiness::MeasureMode measure_mode,
+ double para1,
+ double para2)
+ : _njettinessFinder(axes_mode, measure_mode, 2, para1, para2), _N(N) {
+ _old_constructor_warning.warn("Nsubjettiness: You are using the old style constructor. This is deprecated as of v2.1 and will be removed in v3.0. Please use the Nsubjettiness constructor based on AxesDefinition and MeasureDefinition instead.");
+ }
+
+ /// \deprecated
+ /// Constructor for three parameter arguments
+ /// (for unnormalized_cutoff_measure, para1=beta, para2=R0, para3=Rcutoff)
+ Nsubjettiness(int N,
+ Njettiness::AxesMode axes_mode,
+ Njettiness::MeasureMode measure_mode,
+ double para1,
+ double para2,
+ double para3)
+ : _njettinessFinder(axes_mode, measure_mode, 3, para1, para2, para3), _N(N) {
+ _old_constructor_warning.warn("Nsubjettiness: You are using the old style constructor. This is deprecated as of v2.1 and will be removed in v3.0. Please use the Nsubjettiness constructor based on AxesDefinition and MeasureDefinition instead.");
+ }
+
+ /// \deprecated
+ /// Old constructor for backwards compatibility with v1.0,
+ /// where normalized_cutoff_measure was the only option
+ Nsubjettiness(int N,
+ Njettiness::AxesMode axes_mode,
+ double beta,
+ double R0,
+ double Rcutoff=std::numeric_limits<double>::max())
+ : _njettinessFinder(axes_mode, NormalizedCutoffMeasure(beta,R0,Rcutoff)), _N(N) {
+ _old_constructor_warning.warn("Nsubjettiness: You are using the old style constructor. This is deprecated as of v2.1 and will be removed in v3.0. Please use the Nsubjettiness constructor based on AxesDefinition and MeasureDefinition instead.");
+ }
+
+};
+
+
+///------------------------------------------------------------------------
+/// \class NsubjettinessRatio
+/// \brief Implements ratios of N-subjettiness jet shapes
+///
+/// NsubjettinessRatio uses the results from Nsubjettiness to calculate the ratio
+/// tau_N/tau_M, where N and M are specified by the user. The ratio of different tau values
+/// is often used in analyses, so this class is helpful to streamline code. Note that
+/// manual axis mode is not supported
+class NsubjettinessRatio : public FunctionOfPseudoJet<double> {
+public:
+
+ /// Main constructor. Apart from specifying both N and M, the same options as Nsubjettiness
+ NsubjettinessRatio(int N,
+ int M,
+ const AxesDefinition & axes_def,
+ const MeasureDefinition & measure_def)
+ : _nsub_numerator(N,axes_def,measure_def),
+ _nsub_denominator(M,axes_def,measure_def) {
+ if (axes_def.needsManualAxes()) {
+ throw Error("NsubjettinessRatio does not support ManualAxes mode.");
+ }
+ }
+
+ /// Returns tau_N/tau_M based off the input jet using result function from Nsubjettiness
+ double result(const PseudoJet& jet) const;
+
+private:
+
+ Nsubjettiness _nsub_numerator; ///< Function for numerator
+ Nsubjettiness _nsub_denominator; ///< Function for denominator
+
+public:
+
+ // The following interfaces are included for backwards compatibility, but no longer recommended.
+ // They may be deprecated at some point.
+
+ /// \deprecated
+ /// Old-style constructor for zero arguments
+ /// Alternative constructor with enums and parameters
+ /// Again, likely to be removed
+ NsubjettinessRatio(int N,
+ int M,
+ Njettiness::AxesMode axes_mode,
+ Njettiness::MeasureMode measure_mode)
+ : _nsub_numerator(N, axes_mode, measure_mode),
+ _nsub_denominator(M, axes_mode, measure_mode) {}
+
+ /// \deprecated
+ /// Old-style constructor for one argument
+ NsubjettinessRatio(int N,
+ int M,
+ Njettiness::AxesMode axes_mode,
+ Njettiness::MeasureMode measure_mode,
+ double para1)
+ : _nsub_numerator(N, axes_mode, measure_mode, para1),
+ _nsub_denominator(M, axes_mode, measure_mode, para1) {}
+
+ /// \deprecated
+ /// Old-style constructor for 2 arguments
+ NsubjettinessRatio(int N,
+ int M,
+ Njettiness::AxesMode axes_mode,
+ Njettiness::MeasureMode measure_mode,
+ double para1,
+ double para2)
+ : _nsub_numerator(N, axes_mode, measure_mode, para1, para2),
+ _nsub_denominator(M, axes_mode, measure_mode, para1, para2) {}
+
+ /// \deprecated
+ /// Old-style constructor for 3 arguments
+ NsubjettinessRatio(int N,
+ int M,
+ Njettiness::AxesMode axes_mode,
+ Njettiness::MeasureMode measure_mode,
+ double para1,
+ double para2,
+ double para3)
+ : _nsub_numerator(N, axes_mode, measure_mode, para1, para2, para3),
+ _nsub_denominator(M, axes_mode, measure_mode, para1, para2, para3) {}
+
+
+};
+
+} // namespace Nsubjettiness
+
+}
+
+#endif // __FASTJET_CONTRIB_NSUBJETTINESS_HH__
diff --git a/include/Rivet/Tools/Nsubjettiness/TauComponents.hh b/include/Rivet/Tools/Nsubjettiness/TauComponents.hh
new file mode 100644
--- /dev/null
+++ b/include/Rivet/Tools/Nsubjettiness/TauComponents.hh
@@ -0,0 +1,352 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: MeasureFunction.hh 742 2014-08-23 15:43:29Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#ifndef __FASTJET_CONTRIB_TAUCOMPONENTS_HH__
+#define __FASTJET_CONTRIB_TAUCOMPONENTS_HH__
+
+#include "fastjet/PseudoJet.hh"
+#include "fastjet/ClusterSequence.hh"
+#include "fastjet/WrappedStructure.hh"
+
+
+#include <cmath>
+#include <vector>
+#include <list>
+#include <limits>
+
+
+namespace Rivet {
+
+namespace Nsubjettiness { using namespace fastjet;
+
+// Classes defined in this file.
+class TauComponents;
+class TauPartition;
+class NjettinessExtras;
+
+///------------------------------------------------------------------------
+/// \enum TauMode
+/// Specified whether tau value has beam region or denominators
+///------------------------------------------------------------------------
+enum TauMode {
+ UNDEFINED_SHAPE = -1, // Added so that constructor would default to some value
+ UNNORMALIZED_JET_SHAPE = 0,
+ NORMALIZED_JET_SHAPE = 1,
+ UNNORMALIZED_EVENT_SHAPE = 2,
+ NORMALIZED_EVENT_SHAPE = 3,
+};
+
+///////
+//
+// TauComponents
+//
+///////
+
+///------------------------------------------------------------------------
+/// \class TauComponents
+/// \brief Output wrapper for supplemental N-(sub)jettiness information
+///
+/// This class creates a wrapper for the various tau/subtau values calculated in Njettiness. This class allows Njettiness access to these variables
+/// without ever having to do the calculation itself. It takes in subtau numerators and tau denominator from MeasureFunction
+/// and outputs tau numerator, and normalized tau and subtau.
+///------------------------------------------------------------------------
+class TauComponents {
+
+public:
+
+ /// empty constructor necessary to initialize tau_components in Njettiness
+ /// later set correctly in Njettiness::getTau function
+ TauComponents() {}
+
+ /// This constructor takes input vector and double and calculates all necessary tau components
+ TauComponents(TauMode tau_mode,
+ const std::vector<double> & jet_pieces_numerator,
+ double beam_piece_numerator,
+ double denominator,
+ const std::vector<PseudoJet> & jets,
+ const std::vector<PseudoJet> & axes
+ );
+
+ /// Test for denominator
+ bool has_denominator() const;
+ /// Test for beam region
+ bool has_beam() const;
+
+ /// Return tau value
+ double tau() const { return _tau; }
+ /// Return jet regions
+ const std::vector<double>& jet_pieces() const { return _jet_pieces; }
+ /// Return beam region
+ double beam_piece() const { return _beam_piece; }
+
+ /// Return jet regions (no denominator)
+ std::vector<double> jet_pieces_numerator() const { return _jet_pieces_numerator; }
+ /// Return beam regions (no denominator)
+ double beam_piece_numerator() const { return _beam_piece_numerator; }
+ /// Return numerator
+ double numerator() const { return _numerator; }
+ /// Return denominator
+ double denominator() const { return _denominator; }
+
+ /// Four-vector of total jet (sum of clustered regions)
+ PseudoJet total_jet() const { return _total_jet;}
+ /// Four-vector of jet regions
+ const std::vector<PseudoJet>& jets() const { return _jets;}
+ /// Four-vector of axes
+ const std::vector<PseudoJet>& axes() const { return _axes;}
+
+ class StructureType;
+
+protected:
+
+ /// Defines whether there is a beam or denominator
+ TauMode _tau_mode;
+
+ std::vector<double> _jet_pieces_numerator; ///< Constructor input (jet region numerator)
+ double _beam_piece_numerator; ///< Constructor input (beam region numerator)
+ double _denominator; ///< Constructor input (denominator)
+
+ std::vector<double> _jet_pieces; ///< Derived value (jet regions)
+ double _beam_piece; ///< Derived value (beam region)
+ double _numerator; ///< Derived value (total numerator)
+ double _tau; ///< Derived value (final value)
+
+ PseudoJet _total_jet; ///< Total jet four-vector
+ std::vector<PseudoJet> _jets; ///< Jet four-vectors
+ std::vector<PseudoJet> _axes; ///< AXes four-vectors
+
+};
+
+///////
+//
+// TauPartition
+//
+///////
+
+///------------------------------------------------------------------------
+/// \class TauPartition
+/// \brief Output wrapper for N-(sub)jettiness partitioning information
+///
+/// Class for storing partitioning information.
+///------------------------------------------------------------------------
+class TauPartition {
+
+public:
+ /// empty constructor
+ TauPartition() {}
+
+ /// Make partition of size to hold n_jet partitions
+ TauPartition(int n_jet) {
+ _jets_list.resize(n_jet);
+ _jets_partition.resize(n_jet);
+ }
+
+ /// add a particle to the jet
+ void push_back_jet(int jet_num, const PseudoJet& part_to_add, int part_index) {
+ _jets_list[jet_num].push_back(part_index);
+ _jets_partition[jet_num].push_back(part_to_add);
+ }
+
+ /// add a particle to the beam
+ void push_back_beam(const PseudoJet& part_to_add, int part_index) {
+ _beam_list.push_back(part_index);
+ _beam_partition.push_back(part_to_add);
+ }
+
+ /// return jet regions
+ PseudoJet jet(int jet_num) const { return join(_jets_partition.at(jet_num)); }
+ /// return beam region
+ PseudoJet beam() const { return join(_beam_partition);}
+
+ /// return jets
+ std::vector<PseudoJet> jets() const {
+ std::vector<PseudoJet> jets;
+ for (unsigned int i = 0; i < _jets_partition.size(); i++) {
+ jets.push_back(jet(i));
+ }
+ return jets;
+ }
+
+ /// jets in list form
+ const std::list<int> & jet_list(int jet_num) const { return _jets_list.at(jet_num);}
+ /// beam in list form
+ const std::list<int> & beam_list() const { return _beam_list;}
+ /// all jets in list form
+ const std::vector<std::list<int> > & jets_list() const { return _jets_list;}
+
+private:
+
+ std::vector<std::list<int> > _jets_list; ///< jets in list form
+ std::list<int> _beam_list; ///< beam in list form
+
+ std::vector<std::vector<PseudoJet> > _jets_partition; ///< Partition in jet regions
+ std::vector<PseudoJet> _beam_partition; ///< Partition in beam region
+
+};
+
+
+///////
+//
+// NjettinessExtras
+//
+///////
+
+///------------------------------------------------------------------------
+/// \class NjettinessExtras
+/// \brief ClusterSequence add on for N-jettiness information
+///
+/// This class contains the same information as TauComponents, but adds additional ways of linking up
+/// the jets found in the ClusterSequence::Extras class.
+/// This is done in order to help improve the interface for the main NjettinessPlugin class.
+///------------------------------------------------------------------------
+class NjettinessExtras : public ClusterSequence::Extras, public TauComponents {
+
+public:
+ /// Constructor
+ NjettinessExtras(TauComponents tau_components,
+ std::vector<int> cluster_hist_indices)
+ : TauComponents(tau_components), _cluster_hist_indices(cluster_hist_indices) {}
+
+
+
+ /// Ask for tau of the whole event, but by querying a jet
+ double tau(const fastjet::PseudoJet& /*jet*/) const {return _tau;}
+
+ /// Ask for tau of an individual jet
+ double tau_piece(const fastjet::PseudoJet& jet) const {
+ if (labelOf(jet) == -1) return std::numeric_limits<double>::quiet_NaN(); // nonsense
+ return _jet_pieces[labelOf(jet)];
+ }
+
+ /// Find axis associated with jet
+ fastjet::PseudoJet axis(const fastjet::PseudoJet& jet) const {
+ return _axes[labelOf(jet)];
+ }
+
+ /// Check if extra information is available.
+ bool has_njettiness_extras(const fastjet::PseudoJet& jet) const {
+ return (labelOf(jet) >= 0);
+ }
+
+private:
+
+ /// Store cluster history indices to link up with ClusterSequence
+ std::vector<int> _cluster_hist_indices;
+
+ /// Figure out which jet things belonged to
+ int labelOf(const fastjet::PseudoJet& jet) const {
+ int thisJet = -1;
+ for (unsigned int i = 0; i < _jets.size(); i++) {
+ if (_cluster_hist_indices[i] == jet.cluster_hist_index()) {
+ thisJet = i;
+ break;
+ }
+ }
+ return thisJet;
+ }
+
+public:
+
+ // These are old methods for gaining this information
+ // The recommended interface is given in TauComponents
+
+ /// Tau value
+ double totalTau() const {return _tau;}
+ /// Jet regions
+ std::vector<double> subTaus() const {return _jet_pieces;}
+
+ /// Tau value
+ double totalTau(const fastjet::PseudoJet& /*jet*/) const {
+ return _tau;
+ }
+
+ /// Jet region
+ double subTau(const fastjet::PseudoJet& jet) const {
+ if (labelOf(jet) == -1) return std::numeric_limits<double>::quiet_NaN(); // nonsense
+ return _jet_pieces[labelOf(jet)];
+ }
+
+ /// beam region
+ double beamTau() const {
+ return _beam_piece;
+ }
+
+};
+
+
+/// Helper function to find out what njettiness_extras are (from jet)
+inline const NjettinessExtras * njettiness_extras(const fastjet::PseudoJet& jet) {
+ const ClusterSequence * myCS = jet.associated_cluster_sequence();
+ if (myCS == NULL) return NULL;
+ const NjettinessExtras* extras = dynamic_cast<const NjettinessExtras*>(myCS->extras());
+ return extras;
+}
+
+/// Helper function to find out what njettiness_extras are (from ClusterSequence)
+inline const NjettinessExtras * njettiness_extras(const fastjet::ClusterSequence& myCS) {
+ const NjettinessExtras* extras = dynamic_cast<const NjettinessExtras*>(myCS.extras());
+ return extras;
+}
+
+///////
+//
+// TauComponents::StructureType
+//
+///////
+
+
+///------------------------------------------------------------------------
+/// \class TauComponents::StructureType
+/// \brief Wrapped structure for jet-based N-(sub)jettiness information
+///
+/// Small wrapped structure to store tau information
+/// TODO: Can these be auto-joined?
+///------------------------------------------------------------------------
+class TauComponents::StructureType : public WrappedStructure {
+
+public:
+ /// Constructor
+ StructureType(const PseudoJet& j) :
+ WrappedStructure(j.structure_shared_ptr())
+ {}
+
+ /// tau associated with jet
+ double tau_piece() const { return _tau_piece; }
+
+ /// alternative call, though might be confusing
+ double tau() const { return _tau_piece; }
+
+private:
+ friend class TauComponents;
+ double _tau_piece; ///< tau value associated with jet
+};
+
+
+
+
+} //namespace Nsubjettiness
+
+}
+
+#endif // __FASTJET_CONTRIB_TAUCOMPONENTS_HH__
diff --git a/include/Rivet/Tools/Nsubjettiness/XConePlugin.hh b/include/Rivet/Tools/Nsubjettiness/XConePlugin.hh
new file mode 100644
--- /dev/null
+++ b/include/Rivet/Tools/Nsubjettiness/XConePlugin.hh
@@ -0,0 +1,169 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: XConePlugin.hh 748 2014-10-02 06:13:28Z tjwilk $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#ifndef __FASTJET_CONTRIB_XCONEPLUGIN_HH__
+#define __FASTJET_CONTRIB_XCONEPLUGIN_HH__
+
+#include <fastjet/config.h>
+
+#include "NjettinessPlugin.hh"
+
+#include "fastjet/ClusterSequence.hh"
+#include "fastjet/JetDefinition.hh"
+
+#include <string>
+#include <climits>
+
+namespace Rivet {
+
+
+namespace Nsubjettiness { using namespace fastjet;
+
+///------------------------------------------------------------------------
+/// \class XConePlugin
+/// \brief Implements the XCone Jet Algorithm
+/**
+ * An exclusive jet finder that identifies N jets. First N axes are found, then
+ * particles are assigned to the nearest (approximte DeltaR) axis and for each axis the
+ * corresponding jet is simply the four-momentum sum of these particles.
+ *
+ * The XConePlugin is based on NjettinessPlugin, but with sensible default
+ * values for the AxesDefinition and MeasureDefinition. There are three arguments
+ *
+ * int N: number of exclusive jets to be found
+ * double R0: approximate jet radius
+ * double beta: determines style of jet finding with the recommended values being:
+ * beta = 2: standard "mean" jets where jet momentum/axis align approximately.
+ * beta = 1: recoil-free "median" variant where jet axis points at hardest cluster.
+ *
+ * The AxesDefinition is OnePass_GenET_GenKT_Axes, which uses a generalized kT
+ * clustering algorithm matched to the beta value.
+ *
+ * The MeasureDefinition is the XConeMeasure, which is based on the
+ * ConicalGeometric measure.
+ */
+class XConePlugin : public NjettinessPlugin {
+public:
+
+ /// Constructor with N, R0, and beta as the options. beta = 2.0 is the default
+ /// All this does is use the NjettinessPlugin with OnePass_GenET_GenKT_Axes and the XConeMeasure.
+ /// For more advanced usage, call NjettinessPlugin directly
+ /// Note that the order of the R0 and beta values is reversed from the XConeMeasure to
+ /// standard usage for Plugins.
+ XConePlugin(int N, double R0, double beta = 2.0)
+ : NjettinessPlugin(N,
+ OnePass_GenET_GenKT_Axes(calc_delta(beta), calc_power(beta), R0), // use recommended axes method only
+ XConeMeasure(beta, R0) // use recommended XCone measure.
+ ),
+ _N(N), _R0(R0), _beta(beta)
+ {}
+
+ // The things that are required by base class.
+ virtual std::string description () const;
+ virtual double R() const {return _R0;}
+
+ // run_clustering is done by NjettinessPlugin
+
+ virtual ~XConePlugin() {}
+
+private:
+
+ /// Static call used within the constructor to set the recommended delta value
+ static double calc_delta(double beta) {
+ double delta;
+ if (beta > 1) delta = 1/(beta - 1);
+ else delta = std::numeric_limits<int>::max(); // use winner take all
+ return delta;
+ }
+
+ /// Static call used within the constructor to set the recommended p value
+ static double calc_power(double beta) {
+ return (double) 1.0/beta;
+ }
+
+ double _N; ///< Number of desired jets
+ double _R0; ///< Jet radius
+ double _beta; ///< Angular exponent (beta = 2.0 is dafault, beta = 1.0 is recoil-free)
+
+public:
+
+};
+
+
+/// \class PseudoXConePlugin
+/// \brief Implements a faster, non-optimal version of the XCone Jet Algorithm
+///
+/// A "poor man's" version of XCone with no minimization step
+/// Right now, used just for testing purposes by the developers
+class PseudoXConePlugin : public NjettinessPlugin {
+public:
+
+ /// Constructor with N, R0, and beta as the options. beta = 2.0 is the default
+ /// All this does is use the NjettinessPlugin with GenET_GenKT_Axes and the XConeMeasure.
+ PseudoXConePlugin(int N, double R0, double beta = 2.0)
+ : NjettinessPlugin(N,
+ GenET_GenKT_Axes(calc_delta(beta), calc_power(beta), R0), // poor man's axes
+ XConeMeasure(beta, R0) // use recommended XCone measure.
+ ),
+ _N(N), _R0(R0), _beta(beta)
+ {}
+
+ // The things that are required by base class.
+ virtual std::string description () const;
+ virtual double R() const {return _R0;}
+
+ // run_clustering is done by NjettinessPlugin
+
+ virtual ~PseudoXConePlugin() {}
+
+private:
+
+ /// Static call used within the constructor to set the recommended delta value
+ static double calc_delta(double beta) {
+ double delta;
+ if (beta > 1) delta = 1/(beta - 1);
+ else delta = std::numeric_limits<int>::max(); // use winner take all
+ return delta;
+ }
+
+ /// Static call used within the constructor to set the recommended p value
+ static double calc_power(double beta) {
+ return (double) 1.0/beta;
+ }
+
+ double _N; ///< Number of desired jets
+ double _R0; ///< Jet radius
+ double _beta; ///< Angular exponent (beta = 2.0 is dafault, beta = 1.0 is recoil-free)
+
+public:
+
+};
+
+
+
+} // namespace Nsubjettiness
+
+}
+
+#endif // __FASTJET_CONTRIB_XConePlugin_HH__
diff --git a/include/Rivet/Tools/ParticleUtils.hh b/include/Rivet/Tools/ParticleUtils.hh
--- a/include/Rivet/Tools/ParticleUtils.hh
+++ b/include/Rivet/Tools/ParticleUtils.hh
@@ -1,764 +1,773 @@
#ifndef RIVET_PARTICLEUTILS_HH
#define RIVET_PARTICLEUTILS_HH
#include "Rivet/Particle.hh"
#include "Rivet/Tools/ParticleBaseUtils.hh"
#include "Rivet/Tools/ParticleIdUtils.hh"
// Macros to map Rivet::Particle functions to PID:: functions of the same name
#define PARTICLE_TO_PID_BOOLFN(fname) inline bool fname (const Particle& p) { return PID:: fname (p.pid()); }
#define PARTICLE_TO_PID_INTFN(fname) inline int fname (const Particle& p) { return PID:: fname (p.pid()); }
#define PARTICLE_TO_PID_DBLFN(fname) inline double fname (const Particle& p) { return PID:: fname (p.pid()); }
namespace Rivet {
/// @name Particle classifier functions
//@{
/// Unbound function access to PID code
inline int pid(const Particle& p) { return p.pid(); }
/// Unbound function access to abs PID code
inline int abspid(const Particle& p) { return p.abspid(); }
/// Is this particle species charged?
PARTICLE_TO_PID_BOOLFN(isCharged)
/// Is this particle species neutral?
PARTICLE_TO_PID_BOOLFN(isNeutral)
/// Is this a neutrino?
PARTICLE_TO_PID_BOOLFN(isNeutrino)
/// Determine if the PID is that of a charged lepton
PARTICLE_TO_PID_BOOLFN(isChargedLepton)
PARTICLE_TO_PID_BOOLFN(isChLepton)
/// Determine if the PID is that of a lepton (charged or neutral)
PARTICLE_TO_PID_BOOLFN(isLepton)
/// Determine if the PID is that of a photon
PARTICLE_TO_PID_BOOLFN(isPhoton)
/// Determine if the PID is that of an electron or positron
PARTICLE_TO_PID_BOOLFN(isElectron)
/// Determine if the PID is that of an muon or antimuon
PARTICLE_TO_PID_BOOLFN(isMuon)
/// Determine if the PID is that of an tau or antitau
PARTICLE_TO_PID_BOOLFN(isTau)
/// Determine if the PID is that of a hadron
PARTICLE_TO_PID_BOOLFN(isHadron)
/// Determine if the PID is that of a meson
PARTICLE_TO_PID_BOOLFN(isMeson)
/// Determine if the PID is that of a baryon
PARTICLE_TO_PID_BOOLFN(isBaryon)
/// Determine if the PID is that of a quark
PARTICLE_TO_PID_BOOLFN(isQuark)
/// Determine if the PID is that of a parton (quark or gluon)
PARTICLE_TO_PID_BOOLFN(isParton)
/// Determine if the PID is that of a W+
PARTICLE_TO_PID_BOOLFN(isWplus)
/// Determine if the PID is that of a W-
PARTICLE_TO_PID_BOOLFN(isWminus)
/// Determine if the PID is that of a W+-
PARTICLE_TO_PID_BOOLFN(isW)
/// Determine if the PID is that of a Z0
PARTICLE_TO_PID_BOOLFN(isZ)
/// Determine if the PID is that of an SM/lightest SUSY Higgs
PARTICLE_TO_PID_BOOLFN(isHiggs)
/// Determine if the PID is that of an s/sbar
PARTICLE_TO_PID_BOOLFN(isStrange)
/// Determine if the PID is that of a c/cbar
PARTICLE_TO_PID_BOOLFN(isCharm)
/// Determine if the PID is that of a b/bbar
PARTICLE_TO_PID_BOOLFN(isBottom)
/// Determine if the PID is that of a t/tbar
PARTICLE_TO_PID_BOOLFN(isTop)
/// Determine if the particle is a heavy flavour hadron or parton
PARTICLE_TO_PID_BOOLFN(isHeavyFlavour)
/// Determine if the PID is that of a heavy parton (c,b,t)
PARTICLE_TO_PID_BOOLFN(isHeavyParton)
/// Determine if the PID is that of a light parton (u,d,s)
PARTICLE_TO_PID_BOOLFN(isLightParton)
/// Determine if the PID is that of a heavy flavour (b or c) meson
PARTICLE_TO_PID_BOOLFN(isHeavyMeson)
/// Determine if the PID is that of a heavy flavour (b or c) baryon
PARTICLE_TO_PID_BOOLFN(isHeavyBaryon)
/// Determine if the PID is that of a heavy flavour (b or c) hadron
PARTICLE_TO_PID_BOOLFN(isHeavyHadron)
/// Determine if the PID is that of a light flavour (not b or c) meson
PARTICLE_TO_PID_BOOLFN(isLightMeson)
/// Determine if the PID is that of a light flavour (not b or c) baryon
PARTICLE_TO_PID_BOOLFN(isLightBaryon)
/// Determine if the PID is that of a light flavour (not b or c) hadron
PARTICLE_TO_PID_BOOLFN(isLightHadron)
/// Determine if the PID is that of a b-meson.
PARTICLE_TO_PID_BOOLFN(isBottomMeson)
/// Determine if the PID is that of a b-baryon.
PARTICLE_TO_PID_BOOLFN(isBottomBaryon)
/// Determine if the PID is that of a b-hadron.
PARTICLE_TO_PID_BOOLFN(isBottomHadron)
/// @brief Determine if the PID is that of a c-meson.
///
/// Specifically, the _heaviest_ quark is a c: a B_c is a b-meson and NOT a c-meson.
/// Charmonia (closed charm) are counted as c-mesons here.
PARTICLE_TO_PID_BOOLFN(isCharmMeson)
/// @brief Determine if the PID is that of a c-baryon.
///
/// Specifically, the _heaviest_ quark is a c: a baryon containing a b & c
/// is a b-baryon and NOT a c-baryon. To test for the simpler case, just use
/// a combination of hasCharm() and isBaryon().
PARTICLE_TO_PID_BOOLFN(isCharmBaryon)
/// Determine if the PID is that of a c-hadron.
PARTICLE_TO_PID_BOOLFN(isCharmHadron)
// /// Determine if the PID is that of a strange meson
// PARTICLE_TO_PID_BOOLFN(isStrangeMeson)
// /// Determine if the PID is that of a strange baryon
// PARTICLE_TO_PID_BOOLFN(isStrangeBaryon)
// /// Determine if the PID is that of a strange hadron
// PARTICLE_TO_PID_BOOLFN(isStrangeHadron)
/// Is this a pomeron, odderon, or generic reggeon?
PARTICLE_TO_PID_BOOLFN(isReggeon)
/// Determine if the PID is that of a diquark (used in hadronization models)
PARTICLE_TO_PID_BOOLFN(isDiquark)
/// Determine if the PID is that of a pentaquark (hypothetical hadron)
PARTICLE_TO_PID_BOOLFN(isPentaquark)
/// Is this a fundamental SUSY particle?
PARTICLE_TO_PID_BOOLFN(isSUSY)
/// Is this an R-hadron?
PARTICLE_TO_PID_BOOLFN(isRhadron)
/// Is this a technicolor particle?
PARTICLE_TO_PID_BOOLFN(isTechnicolor)
/// Is this an excited (composite) quark or lepton?
PARTICLE_TO_PID_BOOLFN(isExcited)
/// Is this a Kaluza-Klein excitation?
PARTICLE_TO_PID_BOOLFN(isKK)
/// Is this a graviton?
PARTICLE_TO_PID_BOOLFN(isGraviton)
/// Is this a BSM particle (including graviton)?
PARTICLE_TO_PID_BOOLFN(isBSM)
/// Determine if the PID is in the generator-specific range
PARTICLE_TO_PID_BOOLFN(isGenSpecific)
/// Determine if the PID is that of an EW scale resonance
PARTICLE_TO_PID_BOOLFN(isResonance)
/// Check the PID for usability in transport codes like Geant4
PARTICLE_TO_PID_BOOLFN(isTransportable)
/// Does this particle contain an up quark?
PARTICLE_TO_PID_BOOLFN(hasUp)
/// Does this particle contain a down quark?
PARTICLE_TO_PID_BOOLFN(hasDown)
/// Does this particle contain a strange quark?
PARTICLE_TO_PID_BOOLFN(hasStrange)
/// Does this particle contain a charm quark?
PARTICLE_TO_PID_BOOLFN(hasCharm)
/// Does this particle contain a bottom quark?
PARTICLE_TO_PID_BOOLFN(hasBottom)
/// Does this particle contain a top quark?
PARTICLE_TO_PID_BOOLFN(hasTop)
/// jSpin returns 2J+1, where J is the total spin
PARTICLE_TO_PID_INTFN(jSpin)
/// sSpin returns 2S+1, where S is the spin
PARTICLE_TO_PID_INTFN(sSpin)
/// lSpin returns 2L+1, where L is the orbital angular momentum
PARTICLE_TO_PID_INTFN(lSpin)
/// Return the charge
PARTICLE_TO_PID_DBLFN(charge)
/// Return 3 times the charge (3 x quark charge is an int)
PARTICLE_TO_PID_INTFN(charge3)
/// Return the absolute charge
PARTICLE_TO_PID_DBLFN(abscharge)
/// Return 3 times the abs charge (3 x quark charge is an int)
PARTICLE_TO_PID_INTFN(abscharge3)
/// Alias for charge3
/// @deprecated Use charge3
PARTICLE_TO_PID_INTFN(threeCharge)
/// Get the atomic number (number of protons) in a nucleus/ion
PARTICLE_TO_PID_INTFN(nuclZ)
/// Get the atomic weight (number of nucleons) in a nucleus/ion
PARTICLE_TO_PID_INTFN(nuclA)
/// If this is a nucleus (ion), get nLambda
PARTICLE_TO_PID_INTFN(nuclNlambda)
//@}
/// @name Particle pair classifiers
/// @todo Make versions that work on ParticlePair?
//@{
inline bool isSameSign(const Particle& a, const Particle& b) { return PID::isSameSign(a.pid(), b.pid()); }
inline bool isOppSign(const Particle& a, const Particle& b) { return PID::isOppSign(a.pid(), b.pid()); }
inline bool isSameFlav(const Particle& a, const Particle& b) { return PID::isSameFlav(a.pid(), b.pid()); }
inline bool isOppFlav(const Particle& a, const Particle& b) { return PID::isOppFlav(a.pid(), b.pid()); }
inline bool isOSSF(const Particle& a, const Particle& b) { return PID::isOSSF(a.pid(), b.pid()); }
inline bool isSSSF(const Particle& a, const Particle& b) { return PID::isSSSF(a.pid(), b.pid()); }
inline bool isOSOF(const Particle& a, const Particle& b) { return PID::isOSOF(a.pid(), b.pid()); }
inline bool isSSOF(const Particle& a, const Particle& b) { return PID::isSSOF(a.pid(), b.pid()); }
//@}
/// @name Particle charge/sign comparison functions
//@{
/// @brief Return true if Particles @a a and @a b have the opposite charge sign
/// @note Two neutrals returns false
inline bool oppSign(const Particle& a, const Particle& b) {
return sign(a.charge3()) == -sign(b.charge3()) && sign(a.charge3()) != ZERO;
}
/// Return true if Particles @a a and @a b have the same charge sign
/// @note Two neutrals returns true
inline bool sameSign(const Particle& a, const Particle& b) {
return sign(a.charge3()) == sign(b.charge3());
}
/// Return true if Particles @a a and @a b have the exactly opposite charge
/// @note Two neutrals returns false
inline bool oppCharge(const Particle& a, const Particle& b) {
return a.charge3() == -b.charge3() && a.charge3() != 0;
}
/// Return true if Particles @a a and @a b have the same charge (including neutral)
/// @note Two neutrals returns true
inline bool sameCharge(const Particle& a, const Particle& b) {
return a.charge3() == b.charge3();
}
/// Return true if Particles @a a and @a b have a different (not necessarily opposite) charge
inline bool diffCharge(const Particle& a, const Particle& b) {
return a.charge3() != b.charge3();
}
//@}
//////////////////////////////////////
/// @name Non-PID particle properties, via unbound functions
//@{
/// @brief Determine whether a particle is the first in a decay chain to meet the function requirement
inline bool isFirstWith(const Particle& p, const ParticleSelector& f) {
return p.isFirstWith(f);
}
/// @brief Determine whether a particle is the first in a decay chain not to meet the function requirement
inline bool isFirstWithout(const Particle& p, const ParticleSelector& f) {
return p.isFirstWithout(f);
}
/// @brief Determine whether a particle is the last in a decay chain to meet the function requirement
inline bool isLastWith(const Particle& p, const ParticleSelector& f) {
return p.isLastWith(f);
}
/// @brief Determine whether a particle is the last in a decay chain not to meet the function requirement
inline bool isLastWithout(const Particle& p, const ParticleSelector& f) {
return p.isLastWithout(f);
}
/// @brief Determine whether a particle has an ancestor which meets the function requirement
inline bool hasAncestorWith(const Particle& p, const ParticleSelector& f) {
return p.hasAncestorWith(f);
}
/// @brief Determine whether a particle has an ancestor which doesn't meet the function requirement
inline bool hasAncestorWithout(const Particle& p, const ParticleSelector& f) {
return p.hasAncestorWithout(f);
}
/// @brief Determine whether a particle has a parent which meets the function requirement
inline bool hasParentWith(const Particle& p, const ParticleSelector& f) {
return p.hasParentWith(f);
}
/// @brief Determine whether a particle has a parent which doesn't meet the function requirement
inline bool hasParentWithout(const Particle& p, const ParticleSelector& f) {
return p.hasParentWithout(f);
}
/// @brief Determine whether a particle has a child which meets the function requirement
inline bool hasChildWith(const Particle& p, const ParticleSelector& f) {
return p.hasChildWith(f);
}
/// @brief Determine whether a particle has a child which doesn't meet the function requirement
inline bool hasChildWithout(const Particle& p, const ParticleSelector& f) {
return p.hasChildWithout(f);
}
/// @brief Determine whether a particle has a descendant which meets the function requirement
inline bool hasDescendantWith(const Particle& p, const ParticleSelector& f) {
return p.hasDescendantWith(f);
// return !p.allDescendants(f).empty();
}
/// @brief Determine whether a particle has a descendant which doesn't meet the function requirement
inline bool hasDescendantWithout(const Particle& p, const ParticleSelector& f) {
return p.hasDescendantWithout(f);
}
/// @brief Determine whether a particle has a stable descendant which meets the function requirement
inline bool hasStableDescendantWith(const Particle& p, const ParticleSelector& f) {
return p.hasStableDescendantWith(f);
}
/// @brief Determine whether a particle has a stable descendant which doesn't meet the function requirement
inline bool hasStableDescendantWithout(const Particle& p, const ParticleSelector& f) {
return p.hasStableDescendantWithout(f);
}
/// Is this particle potentially visible in a detector?
inline bool isVisible(const Particle& p) { return p.isVisible(); }
/// @brief Decide if a given particle is direct, via Particle::isDirect()
///
/// A "direct" particle is one directly connected to the hard process. It is a
/// preferred alias for "prompt", since it has no confusing implications about
/// distinguishability by timing information.
///
/// The boolean arguments allow a decay lepton to be considered direct if
/// its parent was a "real" direct lepton.
inline bool isDirect(const Particle& p, bool allow_from_direct_tau=false, bool allow_from_direct_mu=false) {
return p.isDirect(allow_from_direct_tau, allow_from_direct_mu);
}
/// @brief Decide if a given particle is prompt, via Particle::isPrompt()
///
/// The boolean arguments allow a decay lepton to be considered prompt if
/// its parent was a "real" prompt lepton.
inline bool isPrompt(const Particle& p, bool allow_from_prompt_tau=false, bool allow_from_prompt_mu=false) {
return p.isPrompt(allow_from_prompt_tau, allow_from_prompt_mu);
}
/// Decide if a given particle is stable, via Particle::isStable()
inline bool isStable(const Particle& p) { return p.isStable(); }
/// Decide if a given particle decays hadronically
inline bool hasHadronicDecay(const Particle& p) {
if (p.isStable()) return false;
if (p.hasChildWith(isHadron)) return true;
return false;
}
/// Decide if a given particle decays leptonically (decays, and no hadrons)
inline bool hasLeptonicDecay(const Particle& p) {
if (p.isStable()) return false;
if (p.hasChildWith(isHadron)) return false;
return true;
}
/// Check whether a given PID is found in the particle's ancestor list
/// @deprecated Prefer hasAncestorWith
inline bool hasAncestor(const Particle& p, PdgId pid) { return p.hasAncestor(pid); }
/// Determine whether the particle is from a b-hadron decay
inline bool fromBottom(const Particle& p) { return p.fromBottom(); }
/// @brief Determine whether the particle is from a c-hadron decay
inline bool fromCharm(const Particle& p) { return p.fromCharm(); }
/// @brief Determine whether the particle is from a hadron decay
inline bool fromHadron(const Particle& p) { return p.fromHadron(); }
/// @brief Determine whether the particle is from a tau decay
inline bool fromTau(const Particle& p, bool prompt_taus_only=false) {
return p.fromTau(prompt_taus_only);
}
/// @brief Determine whether the particle is from a prompt tau decay
inline bool fromPromptTau(const Particle& p) { return p.fromPromptTau(); }
/// @brief Determine whether the particle is from a hadron or tau decay
/// @deprecated Too vague: use fromHadron or fromHadronicTau
inline bool fromDecay(const Particle& p) { return p.fromDecay(); }
//@}
/// @name Particle classifier -> bool functors
///
/// To be passed to any() or all() e.g. any(p.children(), HasPID(PID::MUON))
//@{
/// Base type for Particle -> bool functors
struct BoolParticleFunctor {
virtual bool operator()(const Particle& p) const = 0;
virtual ~BoolParticleFunctor() {}
};
/// Functor for and-combination of selector logic
struct BoolParticleAND : public BoolParticleFunctor {
BoolParticleAND(const std::vector<ParticleSelector>& sels) : selectors(sels) {}
BoolParticleAND(const ParticleSelector& a, const ParticleSelector& b) : selectors({a,b}) {}
BoolParticleAND(const ParticleSelector& a, const ParticleSelector& b, const ParticleSelector& c) : selectors({a,b,c}) {}
bool operator()(const Particle& p) const {
for (const ParticleSelector& sel : selectors) if (!sel(p)) return false;
return true;
}
std::vector<ParticleSelector> selectors;
};
/// Operator syntactic sugar for AND construction
inline BoolParticleAND operator && (const ParticleSelector& a, const ParticleSelector& b) {
return BoolParticleAND(a, b);
}
/// Functor for or-combination of selector logic
struct BoolParticleOR : public BoolParticleFunctor {
BoolParticleOR(const std::vector<ParticleSelector>& sels) : selectors(sels) {}
BoolParticleOR(const ParticleSelector& a, const ParticleSelector& b) : selectors({a,b}) {}
BoolParticleOR(const ParticleSelector& a, const ParticleSelector& b, const ParticleSelector& c) : selectors({a,b,c}) {}
bool operator()(const Particle& p) const {
for (const ParticleSelector& sel : selectors) if (sel(p)) return true;
return false;
}
std::vector<ParticleSelector> selectors;
};
/// Operator syntactic sugar for OR construction
inline BoolParticleOR operator || (const ParticleSelector& a, const ParticleSelector& b) {
return BoolParticleOR(a, b);
}
/// Functor for inverting selector logic
struct BoolParticleNOT : public BoolParticleFunctor {
BoolParticleNOT(const ParticleSelector& sel) : selector(sel) {}
bool operator()(const Particle& p) const { return !selector(p); }
ParticleSelector selector;
};
/// Operator syntactic sugar for NOT construction
inline BoolParticleNOT operator ! (const ParticleSelector& a) {
return BoolParticleNOT(a);
}
/// PID matching functor
struct HasPID : public BoolParticleFunctor {
HasPID(PdgId pid) : targetpids{pid} { }
HasPID(vector<PdgId> pids) : targetpids{pids} { }
HasPID(initializer_list<PdgId> pids) : targetpids{pids} { }
bool operator()(const Particle& p) const { return contains(targetpids, p.pid()); }
vector<PdgId> targetpids;
};
using hasPID = HasPID;
/// |PID| matching functor
struct HasAbsPID : public BoolParticleFunctor {
HasAbsPID(PdgId pid) : targetapids{abs(pid)} { }
HasAbsPID(vector<PdgId> pids) { for (PdgId pid : pids) targetapids.push_back(abs(pid)); }
HasAbsPID(initializer_list<PdgId> pids) { for (PdgId pid : pids) targetapids.push_back(abs(pid)); }
bool operator()(const Particle& p) const { return contains(targetapids, p.abspid()); }
vector<PdgId> targetapids;
};
using hasAbsPID = HasAbsPID;
/// Determine whether a particle is the first in a decay chain to meet the cut/function
struct FirstParticleWith : public BoolParticleFunctor {
FirstParticleWith(const ParticleSelector& f) : fn(f) { }
FirstParticleWith(const Cut& c);
bool operator()(const Particle& p) const { return isFirstWith(p, fn); }
ParticleSelector fn;
};
using firstParticleWith = FirstParticleWith;
/// Determine whether a particle is the first in a decay chain not to meet the cut/function
struct FirstParticleWithout : public BoolParticleFunctor {
FirstParticleWithout(const ParticleSelector& f) : fn(f) { }
FirstParticleWithout(const Cut& c);
bool operator()(const Particle& p) const { return isFirstWithout(p, fn); }
ParticleSelector fn;
};
using firstParticleWithout = FirstParticleWithout;
/// Determine whether a particle is the last in a decay chain to meet the cut/function
struct LastParticleWith : public BoolParticleFunctor {
template <typename FN>
LastParticleWith(const FN& f) : fn(f) { }
LastParticleWith(const Cut& c);
bool operator()(const Particle& p) const { return isLastWith(p, fn); }
std::function<bool(const Particle&)> fn;
};
using lastParticleWith = LastParticleWith;
/// Determine whether a particle is the last in a decay chain not to meet the cut/function
struct LastParticleWithout : public BoolParticleFunctor {
LastParticleWithout(const ParticleSelector& f) : fn(f) { }
LastParticleWithout(const Cut& c);
bool operator()(const Particle& p) const { return isLastWithout(p, fn); }
ParticleSelector fn;
};
using lastParticleWithout = LastParticleWithout;
/// Determine whether a particle has an ancestor which meets the cut/function
struct HasParticleAncestorWith : public BoolParticleFunctor {
HasParticleAncestorWith(const ParticleSelector& f) : fn(f) { }
HasParticleAncestorWith(const Cut& c);
bool operator()(const Particle& p) const { return hasAncestorWith(p, fn); }
ParticleSelector fn;
};
using hasParticleAncestorWith = HasParticleAncestorWith;
/// Determine whether a particle has an ancestor which doesn't meet the cut/function
struct HasParticleAncestorWithout : public BoolParticleFunctor {
HasParticleAncestorWithout(const ParticleSelector& f) : fn(f) { }
HasParticleAncestorWithout(const Cut& c);
bool operator()(const Particle& p) const { return hasAncestorWithout(p, fn); }
ParticleSelector fn;
};
using hasParticleAncestorWithout = HasParticleAncestorWithout;
/// Determine whether a particle has an parent which meets the cut/function
struct HasParticleParentWith : public BoolParticleFunctor {
HasParticleParentWith(const ParticleSelector& f) : fn(f) { }
HasParticleParentWith(const Cut& c);
bool operator()(const Particle& p) const { return hasParentWith(p, fn); }
ParticleSelector fn;
};
using hasParticleParentWith = HasParticleParentWith;
/// Determine whether a particle has an parent which doesn't meet the cut/function
struct HasParticleParentWithout : public BoolParticleFunctor {
HasParticleParentWithout(const ParticleSelector& f) : fn(f) { }
HasParticleParentWithout(const Cut& c);
bool operator()(const Particle& p) const { return hasParentWithout(p, fn); }
ParticleSelector fn;
};
using hasParticleParentWithout = HasParticleParentWithout;
/// Determine whether a particle has a child which meets the cut/function
struct HasParticleChildWith : public BoolParticleFunctor {
HasParticleChildWith(const ParticleSelector& f) : fn(f) { }
HasParticleChildWith(const Cut& c);
bool operator()(const Particle& p) const { return hasChildWith(p, fn); }
ParticleSelector fn;
};
using hasParticleChildWith = HasParticleChildWith;
/// Determine whether a particle has a child which doesn't meet the cut/function
struct HasParticleChildWithout : public BoolParticleFunctor {
HasParticleChildWithout(const ParticleSelector& f) : fn(f) { }
HasParticleChildWithout(const Cut& c);
bool operator()(const Particle& p) const { return hasChildWithout(p, fn); }
ParticleSelector fn;
};
using hasParticleChildWithout = HasParticleChildWithout;
/// Determine whether a particle has a descendant which meets the cut/function
struct HasParticleDescendantWith : public BoolParticleFunctor {
HasParticleDescendantWith(const ParticleSelector& f) : fn(f) { }
HasParticleDescendantWith(const Cut& c);
bool operator()(const Particle& p) const { return hasDescendantWith(p, fn); }
ParticleSelector fn;
};
using hasParticleDescendantWith = HasParticleDescendantWith;
/// Determine whether a particle has a descendant which doesn't meet the cut/function
struct HasParticleDescendantWithout : public BoolParticleFunctor {
HasParticleDescendantWithout(const ParticleSelector& f) : fn(f) { }
HasParticleDescendantWithout(const Cut& c);
bool operator()(const Particle& p) const { return hasDescendantWithout(p, fn); }
ParticleSelector fn;
};
using hasParticleDescendantWithout = HasParticleDescendantWithout;
//@}
/// @name Unbound functions for filtering particles
//@{
/// Filter a particle collection in-place to the subset that passes the supplied Cut
Particles& ifilter_select(Particles& particles, const Cut& c);
/// Alias for ifilter_select
/// @deprecated Use ifilter_select
inline Particles& ifilterBy(Particles& particles, const Cut& c) { return ifilter_select(particles, c); }
/// Filter a particle collection in-place to the subset that passes the supplied Cut
inline Particles filter_select(const Particles& particles, const Cut& c) {
Particles rtn = particles;
return ifilter_select(rtn, c);
}
/// Alias for ifilter_select
/// @deprecated Use filter_select
inline Particles filterBy(const Particles& particles, const Cut& c) { return filter_select(particles, c); }
/// Filter a particle collection in-place to the subset that passes the supplied Cut
inline Particles filter_select(const Particles& particles, const Cut& c, Particles& out) {
out = filter_select(particles, c);
return out;
}
/// Alias for ifilter_select
/// @deprecated Use filter_select
inline Particles filterBy(const Particles& particles, const Cut& c, Particles& out) { return filter_select(particles, c, out); }
/// Filter a particle collection in-place to the subset that fails the supplied Cut
Particles& ifilter_discard(Particles& particles, const Cut& c);
/// Filter a particle collection in-place to the subset that fails the supplied Cut
inline Particles filter_discard(const Particles& particles, const Cut& c) {
Particles rtn = particles;
return ifilter_discard(rtn, c);
}
/// Filter a particle collection in-place to the subset that fails the supplied Cut
inline Particles filter_discard(const Particles& particles, const Cut& c, Particles& out) {
out = filter_discard(particles, c);
return out;
}
+
+ // inline void ifilterIsolateDeltaR(Particles& particles, const FourMomenta& vecs) {
+ // ifilter_discard(particles,
+ // }
+
+
+ // inline Particles filterIsolateDeltaR(const Particles& particles, const FourMomenta& vecs) {
+ // }
+
//@}
/// @name Particle pair functions
//@{
/// Get the PDG ID codes of a ParticlePair
/// @todo Make ParticlePair a custom class instead?
inline PdgIdPair pids(const ParticlePair& pp) {
return make_pair(pp.first.pid(), pp.second.pid());
}
//@}
/// @name Operations on collections of Particle
/// @note This can't be done on generic collections of ParticleBase -- thanks, C++ :-/
//@{
namespace Kin {
inline double sumPt(const Particles& ps) {
return sum(ps, pT, 0.0);
}
inline FourMomentum sumP4(const Particles& ps) {
return sum(ps, p4, FourMomentum());
}
inline Vector3 sumP3(const Particles& ps) {
return sum(ps, p3, Vector3());
}
/// @todo Min dPhi, min dR?
/// @todo Isolation routines?
}
//@}
// Import Kin namespace into Rivet
using namespace Kin;
}
#endif
diff --git a/src/Core/Analysis.cc b/src/Core/Analysis.cc
--- a/src/Core/Analysis.cc
+++ b/src/Core/Analysis.cc
@@ -1,857 +1,898 @@
// -*- C++ -*-
#include "Rivet/Config/RivetCommon.hh"
#include "Rivet/Analysis.hh"
#include "Rivet/AnalysisHandler.hh"
#include "Rivet/AnalysisInfo.hh"
#include "Rivet/Tools/BeamConstraint.hh"
// #include "DummyConfig.hh"
// #ifdef HAVE_EXECINFO_H
// #include <execinfo.h>
// #endif
namespace Rivet {
Analysis::Analysis(const string& name)
: _analysishandler(NULL)
{
ProjectionApplier::_allowProjReg = false;
_defaultname = name;
unique_ptr<AnalysisInfo> ai = AnalysisInfo::make(name);
assert(ai);
_info = move(ai);
assert(_info);
}
double Analysis::sqrtS() const {
return handler().sqrtS();
}
const ParticlePair& Analysis::beams() const {
return handler().beams();
}
const PdgIdPair Analysis::beamIds() const {
return handler().beamIds();
}
const string Analysis::histoDir() const {
/// @todo Cache in a member variable
string _histoDir;
if (_histoDir.empty()) {
_histoDir = "/" + name();
if (handler().runName().length() > 0) {
_histoDir = "/" + handler().runName() + _histoDir;
}
replace_all(_histoDir, "//", "/"); //< iterates until none
}
return _histoDir;
}
const string Analysis::histoPath(const string& hname) const {
const string path = histoDir() + "/" + hname;
return path;
}
const string Analysis::histoPath(unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId) const {
return histoDir() + "/" + mkAxisCode(datasetId, xAxisId, yAxisId);
}
const string Analysis::mkAxisCode(unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId) const {
std::stringstream axisCode;
axisCode << "d";
if (datasetId < 10) axisCode << 0;
axisCode << datasetId;
axisCode << "-x";
if (xAxisId < 10) axisCode << 0;
axisCode << xAxisId;
axisCode << "-y";
if (yAxisId < 10) axisCode << 0;
axisCode << yAxisId;
return axisCode.str();
}
Log& Analysis::getLog() const {
string logname = "Rivet.Analysis." + name();
return Log::getLog(logname);
}
///////////////////////////////////////////
size_t Analysis::numEvents() const {
return handler().numEvents();
}
double Analysis::sumOfWeights() const {
return handler().sumOfWeights();
}
///////////////////////////////////////////
bool Analysis::isCompatible(const ParticlePair& beams) const {
return isCompatible(beams.first.pid(), beams.second.pid(),
beams.first.energy(), beams.second.energy());
}
bool Analysis::isCompatible(PdgId beam1, PdgId beam2, double e1, double e2) const {
PdgIdPair beams(beam1, beam2);
pair<double,double> energies(e1, e2);
return isCompatible(beams, energies);
}
bool Analysis::isCompatible(const PdgIdPair& beams, const pair<double,double>& energies) const {
// First check the beam IDs
bool beamIdsOk = false;
for (const PdgIdPair& bp : requiredBeams()) {
if (compatible(beams, bp)) {
beamIdsOk = true;
break;
}
}
if (!beamIdsOk) return false;
// Next check that the energies are compatible (within 1% or 1 GeV, whichever is larger, for a bit of UI forgiveness)
/// @todo Use some sort of standard ordering to improve comparisons, esp. when the two beams are different particles
bool beamEnergiesOk = requiredEnergies().size() > 0 ? false : true;
typedef pair<double,double> DoublePair;
for (const DoublePair& ep : requiredEnergies()) {
if ((fuzzyEquals(ep.first, energies.first, 0.01) && fuzzyEquals(ep.second, energies.second, 0.01)) ||
(fuzzyEquals(ep.first, energies.second, 0.01) && fuzzyEquals(ep.second, energies.first, 0.01)) ||
(abs(ep.first - energies.first) < 1*GeV && abs(ep.second - energies.second) < 1*GeV) ||
(abs(ep.first - energies.second) < 1*GeV && abs(ep.second - energies.first) < 1*GeV)) {
beamEnergiesOk = true;
break;
}
}
return beamEnergiesOk;
/// @todo Need to also check internal consistency of the analysis'
/// beam requirements with those of the projections it uses.
}
///////////////////////////////////////////
double Analysis::crossSection() const {
const YODA::Scatter1D::Points& ps = handler().crossSection()->points();
if (ps.size() != 1) {
string errMsg = "cross section missing for analysis " + name();
throw Error(errMsg);
}
return ps[0].x();
}
double Analysis::crossSectionPerEvent() const {
return crossSection()/sumOfWeights();
}
////////////////////////////////////////////////////////////
// Histogramming
void Analysis::_cacheRefData() const {
if (_refdata.empty()) {
MSG_TRACE("Getting refdata cache for paper " << name());
_refdata = getRefData(name());
}
}
CounterPtr & Analysis::book(CounterPtr & ctr,
const string& cname,
const string& title) {
const string path = histoPath(cname);
ctr = CounterPtr(handler().weightNames(), Counter(path, title));
addAnalysisObject(ctr);
MSG_TRACE("Made counter " << cname << " for " << name());
return ctr;
}
CounterPtr & Analysis::book(CounterPtr & ctr, unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId,
const string& title) {
// const string& xtitle,
// const string& ytitle) {
const string axisCode = mkAxisCode(datasetId, xAxisId, yAxisId);
return book(ctr, axisCode, title);
}
Histo1DPtr & Analysis::book(Histo1DPtr & histo, const string& hname,
size_t nbins, double lower, double upper,
const string& title,
const string& xtitle,
const string& ytitle) {
const string path = histoPath(hname);
Histo1D hist = Histo1D(nbins, lower, upper, path, title);
hist.setAnnotation("XLabel", xtitle);
hist.setAnnotation("YLabel", ytitle);
histo = Histo1DPtr(handler().weightNames(), hist);
addAnalysisObject(histo);
MSG_TRACE("Made histogram " << hname << " for " << name());
return histo;
// Histo1DPtr hist;
// try { // try to bind to pre-existing
// // AnalysisObjectPtr ao = getAnalysisObject(path);
// // hist = dynamic_pointer_cast<Histo1D>(ao);
// hist = getHisto1D(hname);
// /// @todo Test that cast worked
// /// @todo Also test that binning is as expected?
// MSG_TRACE("Bound pre-existing histogram " << hname << " for " << name());
// } catch (...) { // binding failed; make it from scratch
// hist = make_shared<Histo1D>(nbins, lower, upper, histoPath(hname), title);
// addAnalysisObject(hist);
// MSG_TRACE("Made histogram " << hname << " for " << name());
// }
}
Histo1DPtr & Analysis::book(Histo1DPtr & histo, const string& hname,
const initializer_list<double>& binedges,
const string& title,
const string& xtitle,
const string& ytitle) {
return book(histo, hname, vector<double>{binedges}, title, xtitle, ytitle);
}
Histo1DPtr & Analysis::book(Histo1DPtr & histo, const string& hname,
const vector<double>& binedges,
const string& title,
const string& xtitle,
const string& ytitle) {
const string path = histoPath(hname);
// Histo1DPtr hist;
// try { // try to bind to pre-existing
// // AnalysisObjectPtr ao = getAnalysisObject(path);
// // hist = dynamic_pointer_cast<Histo1D>(ao);
// hist = getHisto1D(hname);
// /// @todo Test that cast worked
// /// @todo Also test that binning is as expected?
// MSG_TRACE("Bound pre-existing histogram " << hname << " for " << name());
// } catch (...) { // binding failed; make it from scratch
// hist = make_shared<Histo1D>(binedges, histoPath(hname), title);
// addAnalysisObject(hist);
// MSG_TRACE("Made histogram " << hname << " for " << name());
// }
Histo1D hist = Histo1D(binedges, path, title);
hist.setAnnotation("XLabel", xtitle);
hist.setAnnotation("YLabel", ytitle);
histo = Histo1DPtr(handler().weightNames(), hist);
addAnalysisObject(histo);
MSG_TRACE("Made histogram " << hname << " for " << name());
return histo;
}
Histo1DPtr & Analysis::book(Histo1DPtr & histo, const string& hname,
const Scatter2D& refscatter,
const string& title,
const string& xtitle,
const string& ytitle) {
const string path = histoPath(hname);
// Histo1DPtr hist;
// try { // try to bind to pre-existing
// // AnalysisObjectPtr ao = getAnalysisObject(path);
// // hist = dynamic_pointer_cast<Histo1D>(ao);
// hist = getHisto1D(hname);
// /// @todo Test that cast worked
// /// @todo Also test that binning is as expected?
// MSG_TRACE("Bound pre-existing histogram " << hname << " for " << name());
// } catch (...) { // binding failed; make it from scratch
// hist = make_shared<Histo1D>(refscatter, histoPath(hname));
// if (hist->hasAnnotation("IsRef")) hist->rmAnnotation("IsRef");
// addAnalysisObject(hist);
// MSG_TRACE("Made histogram " << hname << " for " << name());
// }
Histo1D hist = Histo1D(refscatter, path);
hist.setTitle(title);
hist.setAnnotation("XLabel", xtitle);
hist.setAnnotation("YLabel", ytitle);
histo = Histo1DPtr(handler().weightNames(), hist);
addAnalysisObject(histo);
MSG_TRACE("Made histogram " << hname << " for " << name());
return histo;
}
Histo1DPtr & Analysis::book(Histo1DPtr & histo, const string& hname,
const string& title,
const string& xtitle,
const string& ytitle) {
const Scatter2D& refdata = refData(hname);
return book(histo, hname, refdata, title, xtitle, ytitle);
}
Histo1DPtr & Analysis::book(Histo1DPtr & histo, unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId,
const string& title,
const string& xtitle,
const string& ytitle) {
const string axisCode = mkAxisCode(datasetId, xAxisId, yAxisId);
return book(histo, axisCode, title, xtitle, ytitle);
}
/// @todo Add booking methods which take a path, titles and *a reference Scatter from which to book*
/////////////////
Histo2DPtr & Analysis::book(Histo2DPtr & h2d,const string& hname,
size_t nxbins, double xlower, double xupper,
size_t nybins, double ylower, double yupper,
const string& title,
const string& xtitle,
const string& ytitle,
const string& ztitle)
{
const string path = histoPath(hname);
Histo2D hist(nxbins, xlower, xupper, nybins, ylower, yupper, path, title);
hist.setAnnotation("XLabel", xtitle);
hist.setAnnotation("YLabel", ytitle);
hist.setAnnotation("ZLabel", ztitle);
h2d = Histo2DPtr(handler().weightNames(), hist);
addAnalysisObject(h2d);
MSG_TRACE("Made 2D histogram " << hname << " for " << name());
return h2d;
}
Histo2DPtr & Analysis::book(Histo2DPtr & h2d,const string& hname,
const initializer_list<double>& xbinedges,
const initializer_list<double>& ybinedges,
const string& title,
const string& xtitle,
const string& ytitle,
const string& ztitle)
{
return book(h2d, hname, vector<double>{xbinedges}, vector<double>{ybinedges}, title, xtitle, ytitle, ztitle);
}
Histo2DPtr & Analysis::book(Histo2DPtr & h2d,const string& hname,
const vector<double>& xbinedges,
const vector<double>& ybinedges,
const string& title,
const string& xtitle,
const string& ytitle,
const string& ztitle)
{
const string path = histoPath(hname);
Histo2D hist(xbinedges, ybinedges, path, title);
hist.setAnnotation("XLabel", xtitle);
hist.setAnnotation("YLabel", ytitle);
hist.setAnnotation("ZLabel", ztitle);
h2d = Histo2DPtr(handler().weightNames(), hist);
addAnalysisObject(h2d);
MSG_TRACE("Made 2D histogram " << hname << " for " << name());
return h2d;
}
+ Histo2DPtr & Analysis::book(Histo2DPtr & histo, const string& hname,
+ const Scatter3D& refscatter,
+ const string& title,
+ const string& xtitle,
+ const string& ytitle,
+ const string& ztitle) {
+ const string path = histoPath(hname);
+
+ Histo2D hist = Histo2D(refscatter, path);
+
+ hist.setTitle(title);
+ hist.setAnnotation("XLabel", xtitle);
+ hist.setAnnotation("YLabel", ytitle);
+ hist.setAnnotation("ZLabel", ztitle);
+
+ histo = Histo2DPtr(handler().weightNames(), hist);
+ addAnalysisObject(histo);
+
+ MSG_TRACE("Made histogram " << hname << " for " << name());
+ return histo;
+ }
+
+ Histo2DPtr & Analysis::book(Histo2DPtr & histo, const string& hname,
+ const string& title,
+ const string& xtitle,
+ const string& ytitle,
+ const string& ztitle) {
+ const Scatter3D& refdata = refData<Scatter3D>(hname);
+ return book(histo, hname, refdata, title, xtitle, ytitle, ztitle);
+ }
+
+ Histo2DPtr & Analysis::book(Histo2DPtr & histo, unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId,
+ const string& title,
+ const string& xtitle,
+ const string& ytitle,
+ const string& ztitle) {
+ const string axisCode = mkAxisCode(datasetId, xAxisId, yAxisId);
+ return book(histo, axisCode, title, xtitle, ytitle, ztitle);
+ }
+
+
Profile1DPtr & Analysis::book(Profile1DPtr & p1d,const string& hname,
size_t nbins, double lower, double upper,
const string& title,
const string& xtitle,
const string& ytitle) {
const string path = histoPath(hname);
Profile1D prof(nbins, lower, upper, path, title);
prof.setAnnotation("XLabel", xtitle);
prof.setAnnotation("YLabel", ytitle);
p1d = Profile1DPtr(handler().weightNames(), prof);
addAnalysisObject(p1d);
MSG_TRACE("Made profile histogram " << hname << " for " << name());
return p1d;
}
Profile1DPtr & Analysis::book(Profile1DPtr & p1d,const string& hname,
const initializer_list<double>& binedges,
const string& title,
const string& xtitle,
const string& ytitle) {
return book(p1d, hname, vector<double>{binedges}, title, xtitle, ytitle);
}
Profile1DPtr & Analysis::book(Profile1DPtr & p1d,const string& hname,
const vector<double>& binedges,
const string& title,
const string& xtitle,
const string& ytitle) {
const string path = histoPath(hname);
Profile1D prof(binedges, path, title);
prof.setAnnotation("XLabel", xtitle);
prof.setAnnotation("YLabel", ytitle);
p1d = Profile1DPtr(handler().weightNames(), prof);
addAnalysisObject(p1d);
MSG_TRACE("Made profile histogram " << hname << " for " << name());
return p1d;
}
Profile1DPtr & Analysis::book(Profile1DPtr & p1d,const string& hname,
const Scatter2D& refscatter,
const string& title,
const string& xtitle,
const string& ytitle) {
const string path = histoPath(hname);
Profile1D prof(refscatter, path);
prof.setTitle(title);
prof.setAnnotation("XLabel", xtitle);
prof.setAnnotation("YLabel", ytitle);
p1d = Profile1DPtr(handler().weightNames(), prof);
addAnalysisObject(p1d);
MSG_TRACE("Made profile histogram " << hname << " for " << name());
return p1d;
// if (prof.hasAnnotation("IsRef")) prof.rmAnnotation("IsRef");
}
Profile1DPtr & Analysis::book(Profile1DPtr & p1d,const string& hname,
const string& title,
const string& xtitle,
const string& ytitle) {
const Scatter2D& refdata = refData(hname);
book(p1d, hname, refdata, title, xtitle, ytitle);
return p1d;
}
Profile1DPtr & Analysis::book(Profile1DPtr & p1d,unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId,
const string& title,
const string& xtitle,
const string& ytitle) {
const string axisCode = mkAxisCode(datasetId, xAxisId, yAxisId);
return book(p1d, axisCode, title, xtitle, ytitle);
}
Profile2DPtr & Analysis::book(Profile2DPtr & p2d, const string& hname,
size_t nxbins, double xlower, double xupper,
size_t nybins, double ylower, double yupper,
const string& title,
const string& xtitle,
const string& ytitle,
const string& ztitle)
{
const string path = histoPath(hname);
Profile2D prof(nxbins, xlower, xupper, nybins, ylower, yupper, path, title);
prof.setAnnotation("XLabel", xtitle);
prof.setAnnotation("YLabel", ytitle);
prof.setAnnotation("ZLabel", ztitle);
p2d = Profile2DPtr(handler().weightNames(), prof);
addAnalysisObject(p2d);
MSG_TRACE("Made 2D profile histogram " << hname << " for " << name());
return p2d;
}
Profile2DPtr & Analysis::book(Profile2DPtr & p2d, const string& hname,
const initializer_list<double>& xbinedges,
const initializer_list<double>& ybinedges,
const string& title,
const string& xtitle,
const string& ytitle,
const string& ztitle)
{
return book(p2d, hname, vector<double>{xbinedges}, vector<double>{ybinedges}, title, xtitle, ytitle, ztitle);
}
Profile2DPtr & Analysis::book(Profile2DPtr & p2d, const string& hname,
const vector<double>& xbinedges,
const vector<double>& ybinedges,
const string& title,
const string& xtitle,
const string& ytitle,
const string& ztitle)
{
const string path = histoPath(hname);
Profile2D prof(xbinedges, ybinedges, path, title);
prof.setAnnotation("XLabel", xtitle);
prof.setAnnotation("YLabel", ytitle);
prof.setAnnotation("ZLabel", ztitle);
p2d = Profile2DPtr(handler().weightNames(), prof);
addAnalysisObject(p2d);
MSG_TRACE("Made 2D profile histogram " << hname << " for " << name());
return p2d;
}
Scatter2DPtr & Analysis::book(Scatter2DPtr & s2d, unsigned int datasetId, unsigned int xAxisId, unsigned int yAxisId,
bool copy_pts,
const string& title,
const string& xtitle,
const string& ytitle) {
const string axisCode = mkAxisCode(datasetId, xAxisId, yAxisId);
return book(s2d, axisCode, copy_pts, title, xtitle, ytitle);
}
Scatter2DPtr & Analysis::book(Scatter2DPtr & s2d, const string& hname,
bool copy_pts,
const string& title,
const string& xtitle,
const string& ytitle) {
Scatter2D scat;
const string path = histoPath(hname);
if (copy_pts) {
const Scatter2D& refdata = refData(hname);
scat = Scatter2D(refdata, path);
for (Point2D& p : scat.points()) p.setY(0, 0);
} else {
scat = Scatter2D(path);
}
scat.setTitle(title);
scat.setAnnotation("XLabel", xtitle);
scat.setAnnotation("YLabel", ytitle);
s2d = Scatter2DPtr(handler().weightNames(), scat);
addAnalysisObject(s2d);
MSG_TRACE("Made scatter " << hname << " for " << name());
// if (scat.hasAnnotation("IsRef")) scat.rmAnnotation("IsRef");
return s2d;
}
Scatter2DPtr & Analysis::book(Scatter2DPtr & s2d, const string& hname,
size_t npts, double lower, double upper,
const string& title,
const string& xtitle,
const string& ytitle) {
// TODO: default branch has a read mechanism implemented, to start from an existing AO.
// need to work out how to implement that for multiweights
const string path = histoPath(hname);
Scatter2D scat;
const double binwidth = (upper-lower)/npts;
for (size_t pt = 0; pt < npts; ++pt) {
const double bincentre = lower + (pt + 0.5) * binwidth;
scat.addPoint(bincentre, 0, binwidth/2.0, 0);
}
scat.setTitle(title);
scat.setAnnotation("XLabel", xtitle);
scat.setAnnotation("YLabel", ytitle);
s2d = Scatter2DPtr(handler().weightNames(), scat);
addAnalysisObject(s2d);
MSG_TRACE("Made scatter " << hname << " for " << name());
return s2d;
}
Scatter2DPtr & Analysis::book(Scatter2DPtr & s2d, const string& hname,
const vector<double>& binedges,
const string& title,
const string& xtitle,
const string& ytitle) {
const string path = histoPath(hname);
Scatter2D scat;
for (size_t pt = 0; pt < binedges.size()-1; ++pt) {
const double bincentre = (binedges[pt] + binedges[pt+1]) / 2.0;
const double binwidth = binedges[pt+1] - binedges[pt];
scat.addPoint(bincentre, 0, binwidth/2.0, 0);
}
scat.setTitle(title);
scat.setAnnotation("XLabel", xtitle);
scat.setAnnotation("YLabel", ytitle);
s2d = Scatter2DPtr(handler().weightNames(), scat);
addAnalysisObject(s2d);
MSG_TRACE("Made scatter " << hname << " for " << name());
return s2d;
}
void Analysis::divide(CounterPtr c1, CounterPtr c2, Scatter1DPtr s) const {
const string path = s->path();
*s = *c1 / *c2;
s->setPath(path);
}
void Analysis::divide(const Counter& c1, const Counter& c2, Scatter1DPtr s) const {
const string path = s->path();
*s = c1 / c2;
s->setPath(path);
}
void Analysis::divide(Histo1DPtr h1, Histo1DPtr h2, Scatter2DPtr s) const {
const string path = s->path();
*s = *h1 / *h2;
s->setPath(path);
}
void Analysis::divide(const Histo1D& h1, const Histo1D& h2, Scatter2DPtr s) const {
const string path = s->path();
*s = h1 / h2;
s->setPath(path);
}
void Analysis::divide(Profile1DPtr p1, Profile1DPtr p2, Scatter2DPtr s) const {
const string path = s->path();
*s = *p1 / *p2;
s->setPath(path);
}
void Analysis::divide(const Profile1D& p1, const Profile1D& p2, Scatter2DPtr s) const {
const string path = s->path();
*s = p1 / p2;
s->setPath(path);
}
void Analysis::divide(Histo2DPtr h1, Histo2DPtr h2, Scatter3DPtr s) const {
const string path = s->path();
*s = *h1 / *h2;
s->setPath(path);
}
void Analysis::divide(const Histo2D& h1, const Histo2D& h2, Scatter3DPtr s) const {
const string path = s->path();
*s = h1 / h2;
s->setPath(path);
}
void Analysis::divide(Profile2DPtr p1, Profile2DPtr p2, Scatter3DPtr s) const {
const string path = s->path();
*s = *p1 / *p2;
s->setPath(path);
}
void Analysis::divide(const Profile2D& p1, const Profile2D& p2, Scatter3DPtr s) const {
const string path = s->path();
*s = p1 / p2;
s->setPath(path);
}
/// @todo Counter and Histo2D efficiencies and asymms
void Analysis::efficiency(Histo1DPtr h1, Histo1DPtr h2, Scatter2DPtr s) const {
const string path = s->path();
*s = YODA::efficiency(*h1, *h2);
s->setPath(path);
}
void Analysis::efficiency(const Histo1D& h1, const Histo1D& h2, Scatter2DPtr s) const {
const string path = s->path();
*s = YODA::efficiency(h1, h2);
s->setPath(path);
}
void Analysis::asymm(Histo1DPtr h1, Histo1DPtr h2, Scatter2DPtr s) const {
const string path = s->path();
*s = YODA::asymm(*h1, *h2);
s->setPath(path);
}
void Analysis::asymm(const Histo1D& h1, const Histo1D& h2, Scatter2DPtr s) const {
const string path = s->path();
*s = YODA::asymm(h1, h2);
s->setPath(path);
}
void Analysis::scale(CounterPtr cnt, Analysis::CounterAdapter factor) {
if (!cnt) {
MSG_WARNING("Failed to scale counter=NULL in analysis " << name() << " (scale=" << double(factor) << ")");
return;
}
if (std::isnan(double(factor)) || std::isinf(double(factor))) {
MSG_WARNING("Failed to scale counter=" << cnt->path() << " in analysis: " << name() << " (invalid scale factor = " << double(factor) << ")");
factor = 0;
}
MSG_TRACE("Scaling counter " << cnt->path() << " by factor " << double(factor));
try {
cnt->scaleW(factor);
} catch (YODA::Exception& we) {
MSG_WARNING("Could not scale counter " << cnt->path());
return;
}
}
void Analysis::normalize(Histo1DPtr histo, Analysis::CounterAdapter norm, bool includeoverflows) {
if (!histo) {
MSG_WARNING("Failed to normalize histo=NULL in analysis " << name() << " (norm=" << double(norm) << ")");
return;
}
MSG_TRACE("Normalizing histo " << histo->path() << " to " << double(norm));
try {
histo->normalize(norm, includeoverflows);
} catch (YODA::Exception& we) {
MSG_WARNING("Could not normalize histo " << histo->path());
return;
}
}
void Analysis::scale(Histo1DPtr histo, Analysis::CounterAdapter factor) {
if (!histo) {
MSG_WARNING("Failed to scale histo=NULL in analysis " << name() << " (scale=" << double(factor) << ")");
return;
}
if (std::isnan(double(factor)) || std::isinf(double(factor))) {
MSG_WARNING("Failed to scale histo=" << histo->path() << " in analysis: " << name() << " (invalid scale factor = " << double(factor) << ")");
factor = 0;
}
MSG_TRACE("Scaling histo " << histo->path() << " by factor " << double(factor));
try {
histo->scaleW(factor);
} catch (YODA::Exception& we) {
MSG_WARNING("Could not scale histo " << histo->path());
return;
}
}
void Analysis::normalize(Histo2DPtr histo, Analysis::CounterAdapter norm, bool includeoverflows) {
if (!histo) {
MSG_ERROR("Failed to normalize histo=NULL in analysis " << name() << " (norm=" << double(norm) << ")");
return;
}
MSG_TRACE("Normalizing histo " << histo->path() << " to " << double(norm));
try {
histo->normalize(norm, includeoverflows);
} catch (YODA::Exception& we) {
MSG_WARNING("Could not normalize histo " << histo->path());
return;
}
}
void Analysis::scale(Histo2DPtr histo, Analysis::CounterAdapter factor) {
if (!histo) {
MSG_ERROR("Failed to scale histo=NULL in analysis " << name() << " (scale=" << double(factor) << ")");
return;
}
if (std::isnan(double(factor)) || std::isinf(double(factor))) {
MSG_ERROR("Failed to scale histo=" << histo->path() << " in analysis: " << name() << " (invalid scale factor = " << double(factor) << ")");
factor = 0;
}
MSG_TRACE("Scaling histo " << histo->path() << " by factor " << double(factor));
try {
histo->scaleW(factor);
} catch (YODA::Exception& we) {
MSG_WARNING("Could not scale histo " << histo->path());
return;
}
}
void Analysis::integrate(Histo1DPtr h, Scatter2DPtr s) const {
// preserve the path info
const string path = s->path();
*s = toIntegralHisto(*h);
s->setPath(path);
}
void Analysis::integrate(const Histo1D& h, Scatter2DPtr s) const {
// preserve the path info
const string path = s->path();
*s = toIntegralHisto(h);
s->setPath(path);
}
}
/// @todo 2D versions of integrate... defined how, exactly?!?
//////////////////////////////////
namespace {
void errormsg(std::string name) {
// #ifdef HAVE_BACKTRACE
// void * buffer[4];
// backtrace(buffer, 4);
// backtrace_symbols_fd(buffer, 4 , 1);
// #endif
std::cerr << name << ": Can't book objects outside of init().\n";
assert(false);
}
}
namespace Rivet {
void Analysis::addAnalysisObject(const MultiweightAOPtr & ao) {
if (handler().stage() == AnalysisHandler::Stage::INIT) {
_analysisobjects.push_back(ao);
}
else {
errormsg(name());
}
}
void Analysis::removeAnalysisObject(const string& path) {
for (auto it = _analysisobjects.begin();
it != _analysisobjects.end(); ++it) {
if ((*it)->path() == path) {
_analysisobjects.erase(it);
break;
}
}
}
void Analysis::removeAnalysisObject(const MultiweightAOPtr & ao) {
for (auto it = _analysisobjects.begin(); it != _analysisobjects.end(); ++it) {
if ((*it) == ao) {
_analysisobjects.erase(it);
break;
}
}
}
}
diff --git a/src/Core/Jet.cc b/src/Core/Jet.cc
--- a/src/Core/Jet.cc
+++ b/src/Core/Jet.cc
@@ -1,221 +1,224 @@
#include "Rivet/Jet.hh"
#include "Rivet/Tools/Cuts.hh"
#include "Rivet/Tools/ParticleName.hh"
#include "Rivet/Tools/Logging.hh"
#include "Rivet/Tools/ParticleIdUtils.hh"
namespace Rivet {
Jet& Jet::clear() {
_momentum = FourMomentum();
_pseudojet.reset(0,0,0,0);
_particles.clear();
return *this;
}
Jet& Jet::setState(const FourMomentum& mom, const Particles& particles, const Particles& tags) {
clear();
_momentum = mom;
_pseudojet = fastjet::PseudoJet(mom.px(), mom.py(), mom.pz(), mom.E());
_particles = particles;
_tags = tags;
return *this;
}
Jet& Jet::setState(const fastjet::PseudoJet& pj, const Particles& particles, const Particles& tags) {
clear();
_pseudojet = pj;
_momentum = FourMomentum(pj.e(), pj.px(), pj.py(), pj.pz());
_particles = particles;
_tags = tags;
// if (_particles.empty()) {
// for (const fastjet::PseudoJet pjc : _pseudojet.constituents()) {
// // If there is no attached user info, we can't create a meaningful particle, so skip
// if (!pjc.has_user_info<RivetFJInfo>()) continue;
// const RivetFJInfo& fjinfo = pjc.user_info<RivetFJInfo>();
// // Don't add ghosts to the particles list
// if (fjinfo.isGhost) continue;
// // Otherwise construct a Particle from the PseudoJet, preferably from an associated GenParticle
// ?if (fjinfo.genParticle != NULL) {
// _particles.push_back(Particle(fjinfo.genParticle));
// } else {
// if (fjinfo.pid == 0) continue; // skip if there is a null PID entry in the FJ info
// const FourMomentum pjcmom(pjc.e(), pjc.px(), pjc.py(), pjc.pz());
// _particles.push_back(Particle(fjinfo.pid, pjcmom));
// }
// }
// }
return *this;
}
Jet& Jet::setParticles(const Particles& particles) {
_particles = particles;
return *this;
}
bool Jet::containsParticle(const Particle& particle) const {
const int barcode = particle.genParticle()->barcode();
for (const Particle& p : particles()) {
if (p.genParticle()->barcode() == barcode) return true;
}
return false;
}
bool Jet::containsParticleId(PdgId pid) const {
for (const Particle& p : particles()) {
if (p.pid() == pid) return true;
}
return false;
}
bool Jet::containsParticleId(const vector<PdgId>& pids) const {
for (const Particle& p : particles()) {
for (PdgId pid : pids) {
if (p.pid() == pid) return true;
}
}
return false;
}
/// @todo Jet::containsMatch(Matcher m) { ... if m(pid) return true; ... }
Jet& Jet::transformBy(const LorentzTransform& lt) {
_momentum = lt.transform(_momentum);
for (Particle& p : _particles) p.transformBy(lt);
for (Particle& t : _tags) t.transformBy(lt);
_pseudojet.reset(_momentum.px(), _momentum.py(), _momentum.pz(), _momentum.E()); //< lose ClusterSeq etc.
return *this;
}
double Jet::neutralEnergy() const {
double e_neutral = 0.0;
for (const Particle& p : particles()) {
const PdgId pid = p.pid();
if (PID::threeCharge(pid) == 0) {
e_neutral += p.E();
}
}
return e_neutral;
}
double Jet::hadronicEnergy() const {
double e_hadr = 0.0;
for (const Particle& p : particles()) {
const PdgId pid = p.pid();
if (PID::isHadron(pid)) {
e_hadr += p.E();
}
}
return e_hadr;
}
bool Jet::containsCharm(bool include_decay_products) const {
for (const Particle& p : particles()) {
const PdgId pid = p.pid();
if (abs(pid) == PID::CQUARK) return true;
if (PID::isHadron(pid) && PID::hasCharm(pid)) return true;
if (include_decay_products) {
const HepMC::GenVertex* gv = p.genParticle()->production_vertex();
if (gv) {
for (const GenParticle* pi : Rivet::particles(gv, HepMC::ancestors)) {
const PdgId pid2 = pi->pdg_id();
if (PID::isHadron(pid2) && PID::hasCharm(pid2)) return true;
}
}
}
}
return false;
}
bool Jet::containsBottom(bool include_decay_products) const {
for (const Particle& p : particles()) {
const PdgId pid = p.pid();
if (abs(pid) == PID::BQUARK) return true;
if (PID::isHadron(pid) && PID::hasBottom(pid)) return true;
if (include_decay_products) {
const HepMC::GenVertex* gv = p.genParticle()->production_vertex();
if (gv) {
for (const GenParticle* pi : Rivet::particles(gv, HepMC::ancestors)) {
const PdgId pid2 = pi->pdg_id();
if (PID::isHadron(pid2) && PID::hasBottom(pid2)) return true;
}
}
}
}
return false;
}
Particles Jet::tags(const Cut& c) const {
return filter_select(tags(), c);
}
Particles Jet::bTags(const Cut& c) const {
Particles rtn;
for (const Particle& tp : tags()) {
if (hasBottom(tp) && c->accept(tp)) rtn.push_back(tp);
}
return rtn;
}
Particles Jet::cTags(const Cut& c) const {
Particles rtn;
for (const Particle& tp : tags()) {
/// @todo Is making b and c tags exclusive the right thing to do?
if (hasCharm(tp) && !hasBottom(tp) && c->accept(tp)) rtn.push_back(tp);
}
return rtn;
}
Particles Jet::tauTags(const Cut& c) const {
Particles rtn;
for (const Particle& tp : tags()) {
if (isTau(tp) && c->accept(tp)) rtn.push_back(tp);
}
return rtn;
}
//////////////////////
+ /// Jets copy constructor from vector<Jet>
+ Jets::Jets(const std::vector<Jet>& vjs) : base(vjs) {}
+
/// Jets -> FourMomenta cast/conversion operator
Jets::operator FourMomenta () const {
// FourMomenta rtn(this->begin(), this->end());
FourMomenta rtn; rtn.reserve(this->size());
for (size_t i = 0; i < this->size(); ++i) rtn.push_back((*this)[i]);
return rtn;
}
/// Jets concatenation operator
Jets operator + (const Jets& a, const Jets& b) {
Jets rtn(a);
rtn += b;
return rtn;
}
/// Allow a Jet to be passed to an ostream.
std::ostream& operator << (std::ostream& os, const Jet& j) {
using std::boolalpha;
os << "Jet<" << j.mom()/GeV << " GeV; Nparticles=" << j.size() << "; ";
os << "bTag=" << boolalpha << j.bTagged() << ", ";
os << "cTag=" << boolalpha << j.cTagged() << ", ";
os << "tauTag=" << boolalpha << j.tauTagged() << ">";
return os;
}
}
diff --git a/src/Core/Particle.cc b/src/Core/Particle.cc
--- a/src/Core/Particle.cc
+++ b/src/Core/Particle.cc
@@ -1,307 +1,310 @@
#include "Rivet/Particle.hh"
#include "Rivet/Tools/Cuts.hh"
#include "Rivet/Tools/ParticleIdUtils.hh"
#include "Rivet/Tools/ParticleUtils.hh"
namespace Rivet {
void Particle::setConstituents(const Particles& cs, bool setmom) {
_constituents = cs;
if (setmom) _momentum = sum(cs, p4, FourMomentum());
}
void Particle::addConstituent(const Particle& c, bool addmom) {
_constituents += c;
if (addmom) _momentum += c;
}
void Particle::addConstituents(const Particles& cs, bool addmom) {
_constituents += cs;
if (addmom)
for (const Particle& c : cs)
_momentum += c;
}
Particles Particle::rawConstituents() const {
if (!isComposite()) return Particles{*this};
Particles rtn;
for (const Particle& p : constituents()) rtn += p.rawConstituents();
return rtn;
}
Particle& Particle::transformBy(const LorentzTransform& lt) {
_momentum = lt.transform(_momentum);
return *this;
}
bool Particle::isVisible() const {
// Charged particles are visible
if ( PID::threeCharge(pid()) != 0 ) return true;
// Neutral hadrons are visible
if ( PID::isHadron(pid()) ) return true;
// Photons are visible
if ( pid() == PID::PHOTON ) return true;
// Gluons are visible (for parton level analyses)
if ( pid() == PID::GLUON ) return true;
// Everything else is invisible
return false;
}
bool Particle::isStable() const {
return genParticle() != NULL &&
genParticle()->status() == 1 &&
genParticle()->end_vertex() == NULL;
}
Particles Particle::ancestors(const Cut& c, bool physical_only) const {
Particles rtn;
// this case needed protecting against (at least for the latest Herwig... not sure why
// it didn't show up earlier
if (genParticle() == NULL) return rtn;
/// @todo Remove this const mess crap when HepMC doesn't suck
GenVertexPtr gv = const_cast<GenVertexPtr>( genParticle()->production_vertex() );
if (gv == NULL) return rtn;
/// @todo Would like to do this, but the range objects are broken
// for (const GenParticlePtr gp, gv->particles(HepMC::children))
// rtn += Particle(gp);
for (GenVertex::particle_iterator it = gv->particles_begin(HepMC::ancestors); it != gv->particles_end(HepMC::ancestors); ++it) {
if (physical_only && (*it)->status() != 1 && (*it)->status() != 2) continue;
const Particle p(*it);
if (c != Cuts::OPEN && !c->accept(p)) continue;
rtn += p;
}
return rtn;
}
Particles Particle::parents(const Cut& c) const {
Particles rtn;
/// @todo Remove this const mess crap when HepMC doesn't suck
GenVertexPtr gv = const_cast<GenVertexPtr>( genParticle()->production_vertex() );
if (gv == NULL) return rtn;
/// @todo Would like to do this, but the range objects are broken
// for (const GenParticlePtr gp, gv->particles(HepMC::children))
// rtn += Particle(gp);
for (GenVertex::particle_iterator it = gv->particles_begin(HepMC::parents); it != gv->particles_end(HepMC::parents); ++it) {
const Particle p(*it);
if (c != Cuts::OPEN && !c->accept(p)) continue;
rtn += p;
}
return rtn;
}
Particles Particle::children(const Cut& c) const {
Particles rtn;
if (isStable()) return rtn;
/// @todo Remove this const mess crap when HepMC doesn't suck
GenVertexPtr gv = const_cast<GenVertexPtr>( genParticle()->end_vertex() );
if (gv == NULL) return rtn;
/// @todo Would like to do this, but the range objects are broken
// for (const GenParticlePtr gp, gv->particles(HepMC::children))
// rtn += Particle(gp);
for (GenVertex::particle_iterator it = gv->particles_begin(HepMC::children); it != gv->particles_end(HepMC::children); ++it) {
const Particle p(*it);
if (c != Cuts::OPEN && !c->accept(p)) continue;
rtn += p;
}
return rtn;
}
/// @todo Insist that the current particle is post-hadronization, otherwise throw an exception?
/// @todo Use recursion through replica-avoiding functions to avoid bookkeeping duplicates
Particles Particle::allDescendants(const Cut& c, bool remove_duplicates) const {
Particles rtn;
if (isStable()) return rtn;
/// @todo Remove this const mess crap when HepMC doesn't suck
GenVertexPtr gv = const_cast<GenVertexPtr>( genParticle()->end_vertex() );
if (gv == NULL) return rtn;
/// @todo Would like to do this, but the range objects are broken
// for (const GenParticlePtr gp, gv->particles(HepMC::descendants))
for (GenVertex::particle_iterator it = gv->particles_begin(HepMC::descendants); it != gv->particles_end(HepMC::descendants); ++it) {
const Particle p(*it);
if (c != Cuts::OPEN && !c->accept(p)) continue;
if (remove_duplicates && (*it)->end_vertex() != NULL) {
// size_t n = 0; ///< @todo Only remove 1-to-1 duplicates?
bool dup = false;
/// @todo Yuck, HepMC
for (GenVertex::particle_iterator it2 = (*it)->end_vertex()->particles_begin(HepMC::children); it2 != (*it)->end_vertex()->particles_end(HepMC::children); ++it2) {
// n += 1; if (n > 1) break;
if ((*it)->pdg_id() == (*it2)->pdg_id()) { dup = true; break; }
}
if (dup) continue;
}
rtn += p;
}
return rtn;
}
/// @todo Insist that the current particle is post-hadronization, otherwise throw an exception?
Particles Particle::stableDescendants(const Cut& c) const {
Particles rtn;
if (isStable()) return rtn;
/// @todo Remove this const mess crap when HepMC doesn't suck
GenVertexPtr gv = const_cast<GenVertexPtr>( genParticle()->end_vertex() );
if (gv == NULL) return rtn;
/// @todo Would like to do this, but the range objects are broken
// for (const GenParticlePtr gp, gv->particles(HepMC::descendants))
for (GenVertex::particle_iterator it = gv->particles_begin(HepMC::descendants); it != gv->particles_end(HepMC::descendants); ++it) {
// if ((*it)->status() != 1 || (*it)->end_vertex() != NULL) continue;
const Particle p(*it);
if (!p.isStable()) continue;
if (c != Cuts::OPEN && !c->accept(p)) continue;
rtn += p;
}
return rtn;
}
double Particle::flightLength() const {
if (isStable()) return -1;
if (genParticle() == NULL) return 0;
if (genParticle()->production_vertex() == NULL) return 0;
const HepMC::FourVector v1 = genParticle()->production_vertex()->position();
const HepMC::FourVector v2 = genParticle()->end_vertex()->position();
return sqrt(sqr(v2.x()-v1.x()) + sqr(v2.y()-v1.y()) + sqr(v2.z()-v1.z()));
}
bool Particle::hasParent(PdgId pid) const {
return hasParentWith(hasPID(pid));
}
bool Particle::hasParentWith(const Cut& c) const {
return hasParentWith([&](const Particle& p){return c->accept(p);});
}
bool Particle::hasAncestor(PdgId pid, bool only_physical) const {
return hasAncestorWith(hasPID(pid), only_physical);
}
bool Particle::hasAncestorWith(const Cut& c, bool only_physical) const {
return hasAncestorWith([&](const Particle& p){return c->accept(p);}, only_physical);
}
bool Particle::hasChildWith(const Cut& c) const {
return hasChildWith([&](const Particle& p){return c->accept(p);});
}
bool Particle::hasDescendantWith(const Cut& c, bool remove_duplicates) const {
return hasDescendantWith([&](const Particle& p){return c->accept(p);}, remove_duplicates);
}
bool Particle::hasStableDescendantWith(const Cut& c) const {
return hasStableDescendantWith([&](const Particle& p){return c->accept(p);});
}
bool Particle::fromBottom() const {
return hasAncestorWith([](const Particle& p){
return p.genParticle()->status() == 2 && p.isHadron() && p.hasBottom();
});
}
bool Particle::fromCharm() const {
return hasAncestorWith([](const Particle& p){
return p.genParticle()->status() == 2 && p.isHadron() && p.hasCharm();
});
}
bool Particle::fromHadron() const {
return hasAncestorWith([](const Particle& p){
return p.genParticle()->status() == 2 && p.isHadron();
});
}
bool Particle::fromTau(bool prompt_taus_only) const {
if (prompt_taus_only && fromHadron()) return false;
return hasAncestorWith([](const Particle& p){
return p.genParticle()->status() == 2 && isTau(p);
});
}
bool Particle::fromHadronicTau(bool prompt_taus_only) const {
return hasAncestorWith([&](const Particle& p){
return p.genParticle()->status() == 2 && isTau(p) && (!prompt_taus_only || p.isPrompt()) && hasHadronicDecay(p);
});
}
bool Particle::isDirect(bool allow_from_direct_tau, bool allow_from_direct_mu) const {
if (genParticle() == NULL) return false; // no HepMC connection, give up! Throw UserError exception?
const GenVertexPtr prodVtx = genParticle()->production_vertex();
if (prodVtx == NULL) return false; // orphaned particle, has to be assume false
const pair<GenParticlePtr, GenParticlePtr> beams = prodVtx->parent_event()->beam_particles();
/// @todo Would be nicer to be able to write this recursively up the chain, exiting as soon as a parton or string/cluster is seen
for (const GenParticlePtr ancestor : Rivet::particles(prodVtx, HepMC::ancestors)) {
const PdgId pid = ancestor->pdg_id();
if (ancestor->status() != 2) continue; // no non-standard statuses or beams to be used in decision making
if (ancestor == beams.first || ancestor == beams.second) continue; // PYTHIA6 uses status 2 for beams, I think... (sigh)
if (PID::isParton(pid)) continue; // PYTHIA6 also uses status 2 for some partons, I think... (sigh)
if (PID::isHadron(pid)) return false; // direct particles can't be from hadron decays
if (abs(pid) == PID::TAU && abspid() != PID::TAU && !allow_from_direct_tau) return false; // allow or ban particles from tau decays (permitting tau copies)
if (abs(pid) == PID::MUON && abspid() != PID::MUON && !allow_from_direct_mu) return false; // allow or ban particles from muon decays (permitting muon copies)
}
return true;
}
///////////////////////
+ /// Particles copy constructor from vector<Particle>
+ Particles::Particles(const std::vector<Particle>& vps) : base(vps) {}
+
/// Particles -> FourMomenta cast/conversion operator
Particles::operator FourMomenta () const {
// FourMomenta rtn(this->begin(), this->end());
FourMomenta rtn; rtn.reserve(this->size());
for (size_t i = 0; i < this->size(); ++i) rtn.push_back((*this)[i]);
return rtn;
}
/// Particles concatenation operator
Particles operator + (const Particles& a, const Particles& b) {
Particles rtn(a);
rtn += b;
return rtn;
}
/// Allow a Particle to be passed to an ostream.
std::ostream& operator << (std::ostream& os, const Particle& p) {
string pname;
try {
pname = PID::toParticleName(p.pid());
} catch (...) {
pname = "PID=" + to_str(p.pid());
}
os << "Particle<" << pname << " @ " << p.momentum()/GeV << " GeV>";
return os;
}
/// Allow ParticlePair to be passed to an ostream.
std::ostream& operator << (std::ostream& os, const ParticlePair& pp) {
os << "[" << pp.first << ", " << pp.second << "]";
return os;
}
}
diff --git a/src/Core/ProjectionHandler.cc b/src/Core/ProjectionHandler.cc
--- a/src/Core/ProjectionHandler.cc
+++ b/src/Core/ProjectionHandler.cc
@@ -1,260 +1,267 @@
// -*- C++ -*-
#include "Rivet/Config/RivetCommon.hh"
#include "Rivet/ProjectionHandler.hh"
#include "Rivet/Tools/Cmp.hh"
#include <algorithm>
#include <iostream>
using std::cerr;
namespace {
// Get a logger.
Rivet::Log& getLog() {
return Rivet::Log::getLog("Rivet.ProjectionHandler");
}
}
namespace Rivet {
// Take a Projection, compare it to the others on record, and return (by
// reference) an equivalent Projection which is guaranteed to be the
// (persistent) version that will be applied to an event.
const Projection& ProjectionHandler::registerProjection(const ProjectionApplier& parent,
const Projection& proj,
const string& name)
{
getLog() << Log::TRACE << "Trying to register"
<< " projection " << &proj << " (" << proj.name() << ")"
<< " for parent " << &parent << " (" << parent.name() << ")"
<< " with name '" << name << "'" << '\n';
// Check for duplicate use of "name" on "parent"
const bool dupOk = _checkDuplicate(parent, proj, name);
if (!dupOk) {
cerr << "Duplicate name '" << name << "' in parent '" << parent.name() << "'." << '\n';
exit(1);
}
// Choose which version of the projection to register with this parent and name
ProjHandle ph = _getEquiv(proj);
if ( ph ) {
const Projection & ret = _register(parent, ph, name);
return ret;
}
else {
unique_ptr<Projection> p = _clone(proj);
const Projection & ret = _register(parent, move(p), name);
// Return registered proj
return ret;
}
}
// Clone neatly
unique_ptr<Projection> ProjectionHandler::_clone(const Projection& proj)
{
// Clone a new copy of the passed projection on the heap
getLog() << Log::TRACE << "Cloning projection " << proj.name() << " from " << &proj << "..." << '\n';
unique_ptr<Projection> newproj = proj.clone();
getLog() << Log::TRACE << "...cloned to " << proj.name() << " at " << newproj.get() << '\n';
// Copy all the child ProjHandles when cloning, since otherwise links to "stack parents"
// will be generated by their children, without any connection to the cloned parent
if (&proj != newproj.get()) {
auto nps = _namedprojs.find(&proj);
if (nps != _namedprojs.end()) {
getLog() << Log::TRACE << "Cloning registered projections list: "
<< &proj << " -> " << newproj.get() << '\n';
getLog() << Log::TRACE << "** creates " << newproj.get() << " -> (map from " << nps->first << ")\n";
_namedprojs[newproj.get()] = nps->second;
}
}
return newproj;
}
// Take a Projection, and register it in the registry.
const Projection& ProjectionHandler::_register(const ProjectionApplier& parent,
ProjHandle p,
const string& name)
{
// here we take ownership of the projection
getLog() << Log::TRACE << "Registering new projection at " << p.get()
<< ". Starting refcount: " << p.use_count() << '\n';
// Add the passed Projection to _projs
_projs.insert(p);
getLog() << Log::TRACE
<< "** inserted " << p.get() << " to lookup. Refcount: " << p.use_count() << '\n';
// Add the ProjApplier* => name location to the associative container
_namedprojs[&parent][name] = p;
getLog() << Log::TRACE
<< "** created " << &parent << " -> (" << name << ',' <<
p.get() << "). Refcount: " << p.use_count() << '\n';
p->markAsOwned();
return *p;
}
// Try to find a equivalent projection in the system
ProjHandle ProjectionHandler::_getEquiv(const Projection& proj) const
{
// Get class type using RTTI
const std::type_info& newtype = typeid(proj);
getLog() << Log::TRACE << "RTTI type of " << &proj << " is " << newtype.name() << '\n';
// Compare to ALL projections via _projs collection
getLog() << Log::TRACE << "Comparing " << &proj
<< " with " << _projs.size()
<< " registered projection" << (_projs.size() == 1 ? "" : "s") << '\n';
for (const ProjHandle& ph : _projs) {
// Make sure the concrete types match, using RTTI.
const std::type_info& regtype = typeid(*ph);
getLog() << Log::TRACE << " RTTI type comparison with " << ph << ": "
<< newtype.name() << " vs. " << regtype.name() << '\n';
if (newtype != regtype) continue;
getLog() << Log::TRACE << " RTTI type matches with " << ph << '\n';
// Test for semantic match
if (pcmp(*ph, proj) != EQUIVALENT) {
getLog() << Log::TRACE << " Projections at "
<< &proj << " and " << ph << " are not equivalent" << '\n';
} else {
getLog() << Log::TRACE << " MATCH! Projections at "
<< &proj << " and " << ph << " are equivalent" << '\n';
return ph;
}
}
getLog() << Log::TRACE << " Nothing matches." << '\n';
// If no match, just return a null pointer
return nullptr;
}
string ProjectionHandler::_getStatus() const {
std::ostringstream msg;
msg << "Current projection hierarchy:" << '\n';
for (const NamedProjsMap::value_type& nps : _namedprojs) {
//const string parentname = nps.first->name();
msg << nps.first << '\n'; //"(" << parentname << ")" << '\n';
for (const NamedProjs::value_type& np : nps.second) {
msg << " " << np.second << " (" << np.second->name()
<< ", locally called '" << np.first << "')" << '\n';
}
msg << '\n';
}
return msg.str();
}
// Check that the same parent hasn't already used this name for something else
bool ProjectionHandler::_checkDuplicate(const ProjectionApplier& parent,
const Projection& proj,
const string& name) const
{
auto listedParent = _namedprojs.find(&parent);
if (listedParent != _namedprojs.end()) {
const NamedProjs pnps = listedParent->second;
const NamedProjs::const_iterator ipph = pnps.find(name);
if (ipph != pnps.end()) {
const ProjHandle pph = ipph->second;
getLog() << Log::ERROR << "Projection clash! "
<< parent.name() << " (" << &parent << ") "
<< "is trying to overwrite its registered '" << name << "' "
<< "projection (" << pph << "="
<< pph->name() << ") with a non-equivalent projection "
<< "(" << &proj << "=" << proj.name() << ")" << '\n';
getLog() << Log::ERROR << _getStatus();
return false;
}
}
return true;
}
void ProjectionHandler::removeProjectionApplier(ProjectionApplier& parent) {
auto npi = _namedprojs.find(&parent);
if (npi != _namedprojs.end()) {
getLog() << Log::TRACE << "REMOVE Projection at "
<< &parent << " from map" << '\n';
_namedprojs.erase(npi);
}
//
auto pAsProj = dynamic_cast<Projection*>(&parent);
if (pAsProj) {
auto pi = find_if(_projs.begin(), _projs.end(),
[pAsProj](ProjHandle h)->bool { return h.get() == pAsProj; } );
if (pi != _projs.end()) {
getLog() << Log::TRACE << "REMOVE Projection at "
<< pAsProj << " from lookup" << '\n';
_projs.erase(pi);
}
}
}
set<const Projection*> ProjectionHandler::getChildProjections(const ProjectionApplier& parent,
ProjDepth depth) const
{
set<const Projection*> toplevel;
NamedProjs nps = _namedprojs.find(&parent)->second;
for (NamedProjs::value_type& np : nps) {
toplevel.insert(np.second.get());
}
if (depth == SHALLOW) {
// Only return the projections directly contained within the top level
return toplevel;
} else {
// Return recursively built projection list
set<const Projection*> alllevels = toplevel;
for (const Projection* p : toplevel) {
set<const Projection*> allsublevels = getChildProjections(*p, DEEP);
alllevels.insert(allsublevels.begin(), allsublevels.end());
}
return alllevels;
}
}
+ bool ProjectionHandler::hasProjection(const ProjectionApplier& parent, const string& name) const {
+ MSG_TRACE("Searching for child projection '" << name << "' of " << &parent);
+ NamedProjsMap::const_iterator nps = _namedprojs.find(&parent);
+ if (nps == _namedprojs.end()) return false;
+ NamedProjs::const_iterator np = nps->second.find(name);
+ return !(np == nps->second.end());
+ }
const Projection& ProjectionHandler::getProjection(const ProjectionApplier& parent,
const string& name) const {
MSG_TRACE("Searching for child projection '" << name << "' of " << &parent);
NamedProjsMap::const_iterator nps = _namedprojs.find(&parent);
if (nps == _namedprojs.end()) {
std::ostringstream msg;
msg << "No projections registered for parent " << &parent;
throw Error(msg.str());
}
NamedProjs::const_iterator np = nps->second.find(name);
if (np == nps->second.end()) {
std::ostringstream msg;
msg << "No projection '" << name << "' found for parent " << &parent;
throw Error(msg.str());
}
MSG_TRACE("Found projection '" << name << "' of " << &parent << " -> " << np->second);
// If it's registered with the projection handler, we must be able to safely
// dereference the Projection pointer to a reference...
return *(np->second);
}
}
diff --git a/src/Makefile.am b/src/Makefile.am
--- a/src/Makefile.am
+++ b/src/Makefile.am
@@ -1,16 +1,17 @@
SUBDIRS = Core Tools Projections AnalysisTools
lib_LTLIBRARIES = libRivet.la
libRivet_la_SOURCES =
libRivet_la_LDFLAGS = -export-dynamic -avoid-version -L$(YODALIBPATH) -L$(HEPMCLIBPATH)
libRivet_la_LIBADD = \
Core/libRivetCore.la \
Projections/libRivetProjections.la \
Tools/libRivetTools.la \
+Tools/Nsubjettiness/libRivetNsubjettiness.la \
AnalysisTools/libRivetAnalysisTools.la \
-lYODA -lHepMC -ldl -lm \
$(FASTJETCONFIGLIBADD) \
$(GSL_LDFLAGS)
diff --git a/src/Projections/FinalState.cc b/src/Projections/FinalState.cc
--- a/src/Projections/FinalState.cc
+++ b/src/Projections/FinalState.cc
@@ -1,84 +1,101 @@
// -*- C++ -*-
#include "Rivet/Projections/FinalState.hh"
namespace Rivet {
- FinalState::FinalState(const Cut & c)
+ FinalState::FinalState(const Cut& c)
: ParticleFinder(c)
{
setName("FinalState");
- const bool open = (c == Cuts::open());
- MSG_TRACE("Check for open FS conditions: " << std::boolalpha << open);
- if (!open) addProjection(FinalState(), "OpenFS");
+ const bool isopen = (c == Cuts::open());
+ MSG_TRACE("Check for open FS conditions: " << std::boolalpha << isopen);
+ if (!isopen) addProjection(FinalState(), "OpenFS");
+ }
+
+
+ FinalState::FinalState(const FinalState& fsp, const Cut& c)
+ : ParticleFinder(c)
+ {
+ setName("FinalState");
+ MSG_TRACE("Registering base FSP as 'PrevFS'");
+ addProjection(fsp, "PrevFS");
}
/// @deprecated, keep for backwards compatibility for now.
FinalState::FinalState(double mineta, double maxeta, double minpt) {
setName("FinalState");
const bool openpt = isZero(minpt);
const bool openeta = (mineta <= -MAXDOUBLE && maxeta >= MAXDOUBLE);
MSG_TRACE("Check for open FS conditions:" << std::boolalpha << " eta=" << openeta << ", pt=" << openpt);
if (openpt && openeta) {
_cuts = Cuts::open();
- }
- else {
+ } else {
addProjection(FinalState(), "OpenFS");
if (openeta)
_cuts = (Cuts::pT >= minpt);
else if ( openpt )
_cuts = Cuts::etaIn(mineta, maxeta);
else
_cuts = (Cuts::etaIn(mineta, maxeta) && Cuts::pT >= minpt);
}
}
int FinalState::compare(const Projection& p) const {
const FinalState& other = dynamic_cast<const FinalState&>(p);
- const bool cutcmp =_cuts == other._cuts;
+ // First check if there is a PrevFS and it it matches
+ if (hasProjection("PrevFS") != other.hasProjection("PrevFS")) return UNDEFINED;
+ if (hasProjection("PrevFS")) {
+ const PCmp prevcmp = mkPCmp(other, "PrevFS");
+ if (prevcmp != EQUIVALENT) return prevcmp;
+ }
+ // Then check the extra cuts
+ const bool cutcmp = _cuts == other._cuts;
MSG_TRACE(_cuts << " VS " << other._cuts << " -> EQ == " << std::boolalpha << cutcmp);
- return cutcmp ? EQUIVALENT : UNDEFINED;
+ if (!cutcmp) return UNDEFINED;
+ // Checks all passed: these FSes are equivalent
+ return EQUIVALENT;
}
void FinalState::project(const Event& e) {
_theParticles.clear();
- // Handle "open FS" special case
+ // Handle "open FS" special case, which should not/cannot recurse
if (_cuts == Cuts::OPEN) {
MSG_TRACE("Open FS processing: should only see this once per event (" << e.genEvent()->event_number() << ")");
for (const GenParticle* p : Rivet::particles(e.genEvent())) {
if (p->status() == 1) {
MSG_TRACE("FS GV = " << p->production_vertex());
_theParticles.push_back(Particle(*p));
}
}
return;
}
- // If this is not itself the "open" FS, base the calculations on the open FS' results
+ // Base the calculation on PrevFS if available, otherwise OpenFS
/// @todo In general, we'd like to calculate a restrictive FS based on the most restricted superset FS.
- const Particles allstable = applyProjection<FinalState>(e, "OpenFS").particles();
+ const Particles& allstable = applyProjection<FinalState>(e, (hasProjection("PrevFS") ? "PrevFS" : "OpenFS")).particles();
for (const Particle& p : allstable) {
const bool passed = accept(p);
MSG_TRACE("Choosing: ID = " << p.pid()
<< ", pT = " << p.pT()/GeV << " GeV"
<< ", eta = " << p.eta()
<< ": result = " << std::boolalpha << passed);
if (passed) _theParticles.push_back(p);
}
MSG_TRACE("Number of final-state particles = " << _theParticles.size());
}
/// Decide if a particle is to be accepted or not.
bool FinalState::accept(const Particle& p) const {
// Not having status == 1 should never happen!
assert(p.genParticle() == NULL || p.genParticle()->status() == 1);
return _cuts->accept(p);
}
}
diff --git a/src/Projections/WFinder.cc b/src/Projections/WFinder.cc
--- a/src/Projections/WFinder.cc
+++ b/src/Projections/WFinder.cc
@@ -1,171 +1,163 @@
// -*- C++ -*-
#include "Rivet/Projections/WFinder.hh"
#include "Rivet/Projections/ChargedFinalState.hh"
#include "Rivet/Projections/PromptFinalState.hh"
#include "Rivet/Projections/InvMassFinalState.hh"
#include "Rivet/Projections/MergedFinalState.hh"
#include "Rivet/Projections/DressedLeptons.hh"
#include "Rivet/Projections/VetoedFinalState.hh"
#include "Rivet/Projections/Beam.hh"
namespace Rivet {
WFinder::WFinder(const FinalState& inputfs,
const Cut& leptoncuts,
PdgId pid,
double minmass, double maxmass,
double missingET,
double dRmax,
ChargedLeptons chLeptons,
ClusterPhotons clusterPhotons,
PhotonTracking trackPhotons,
MassWindow masstype,
double masstarget) {
setName("WFinder");
_etMissMin = missingET;
_minmass = minmass;
_maxmass = maxmass;
_masstarget = masstarget;
_pid = abs(pid);
_trackPhotons = trackPhotons;
_useTransverseMass = (masstype == TRANSMASS);
// Check that the arguments are legal
if (_pid != PID::ELECTRON && _pid != PID::MUON)
throw Error("Invalid charged lepton PID given to WFinder");
// Identify bare leptons for dressing
// Bit of a code nightmare -- FS projection copy constructors don't work?
/// @todo Fix FS copy constructors!!
if (chLeptons == PROMPTCHLEPTONS) {
PromptFinalState inputfs_prompt(inputfs);
IdentifiedFinalState bareleptons(inputfs_prompt);
bareleptons.acceptIdPair(_pid);
declare(bareleptons, "BareLeptons");
} else {
IdentifiedFinalState bareleptons(inputfs);
bareleptons.acceptIdPair(_pid);
declare(bareleptons, "BareLeptons");
}
// Dress the bare leptons
const bool doClustering = (clusterPhotons != NOCLUSTER);
const bool useDecayPhotons = (clusterPhotons == CLUSTERALL);
DressedLeptons leptons(inputfs, get<FinalState>("BareLeptons"), (doClustering ? dRmax : -1.), leptoncuts, useDecayPhotons);
addProjection(leptons, "DressedLeptons");
// Add MissingMomentum proj to calc MET
MissingMomentum vismom(inputfs);
addProjection(vismom, "MissingET");
// Identify the non-Z part of the event
VetoedFinalState remainingFS;
remainingFS.addVetoOnThisFinalState(*this);
addProjection(remainingFS, "RFS");
}
/////////////////////////////////////////////////////
- const Particles WFinder::constituentLeptons() const {
- if (empty()) return Particles();
- return boson().constituents(isChargedLepton);
- }
-
-
- const Particles WFinder::constituentNeutrinos() const {
- if (empty()) return Particles();
- return boson().constituents(isNeutrino);
- }
-
-
const VetoedFinalState& WFinder::remainingFinalState() const {
return getProjection<VetoedFinalState>("RFS");
}
const MissingMomentum& WFinder::missingMom() const {
return getProjection<MissingMomentum>("MissingET");
}
int WFinder::compare(const Projection& p) const {
PCmp dlcmp = mkNamedPCmp(p, "DressedLeptons");
if (dlcmp != EQUIVALENT) return dlcmp;
const WFinder& other = dynamic_cast<const WFinder&>(p);
return (cmp(_minmass, other._minmass) ||
cmp(_maxmass, other._maxmass) ||
cmp(_useTransverseMass, other._useTransverseMass) ||
cmp(_etMissMin, other._etMissMin) ||
cmp(_pid, other._pid) ||
cmp(_trackPhotons, other._trackPhotons));
}
void WFinder::project(const Event& e) {
clear();
+ _leptons.clear();
+ _neutrinos.clear();
// Check missing ET
const MissingMomentum& missmom = applyProjection<MissingMomentum>(e, "MissingET");
const double met = missmom.vectorEt().mod();
MSG_TRACE("MET = " << met/GeV << " GeV vs. required > " << _etMissMin/GeV << " GeV");
if (met < _etMissMin) {
MSG_DEBUG("Not enough missing ET: " << met/GeV << " GeV vs. required > " << _etMissMin/GeV << " GeV");
return;
}
// Get lepton
const DressedLeptons& leptons = applyProjection<DressedLeptons>(e, "DressedLeptons");
if ( leptons.dressedLeptons().empty() ) {
MSG_DEBUG("No dressed leptons");
return;
}
MSG_DEBUG("Found at least one dressed lepton: " << leptons.dressedLeptons().front().momentum() );
// Get missing momentum 4-vector, assuming a massless invisible particle
const FourMomentum pmiss = missmom.missingMomentum(0*GeV);
MSG_DEBUG("Found missing 4-momentum: " << pmiss);
// Compute an invariant mass final state for the W decay leptons (using pseudo-neutrinos from ETmiss)
PdgId _nu_pid = _pid + 1;
assert(_nu_pid == PID::NU_E || _nu_pid == PID::NU_MU);
vector<pair<PdgId, PdgId> > l_nu_ids;
l_nu_ids += make_pair(_pid, -_nu_pid);
l_nu_ids += make_pair(-_pid, _nu_pid);
InvMassFinalState imfs(l_nu_ids, _minmass, _maxmass, _masstarget);
imfs.useTransverseMass(_useTransverseMass);
Particles tmp = leptons.particles();
tmp += { Particle( _nu_pid, pmiss), Particle(-_nu_pid, pmiss) }; // fake (anti)neutrinos from ETmiss vector
imfs.calc(tmp);
if (imfs.particlePairs().size() < 1) return;
// Assemble a pseudo-W particle
const ParticlePair Wconstituents = imfs.particlePairs().front();
const Particle& p1(Wconstituents.first), p2(Wconstituents.second);
const FourMomentum pW = p1.momentum() + p2.momentum();
const int wcharge3 = p1.charge3() + p2.charge3();
assert(abs(wcharge3) == 3);
const int wcharge = wcharge3/3;
const PdgId wpid = (wcharge == 1) ? PID::WPLUSBOSON : PID::WMINUSBOSON;
Particle w(wpid, pW);
MSG_DEBUG(w << " reconstructed from: " << p1 << " + " << p2);
// Add (dressed) lepton constituents to the W (skipping photons if requested)
/// @todo Do we need to add all used invisibles to _theParticles ?
const Particle l = p1.isChargedLepton() ? p1 : p2;
- w.addConstituent(_trackPhotons == TRACK ? l : l.constituents().front());
+ _leptons += (_trackPhotons == TRACK) ? l : l.constituents().front();
+ w.addConstituent(_leptons.back());
const Particle nu = p1.isNeutrino() ? p1 : p2;
+ _neutrinos += nu;
w.addConstituent(nu);
// Register the completed W
_theParticles.push_back(w);
}
}
diff --git a/src/Projections/ZFinder.cc b/src/Projections/ZFinder.cc
--- a/src/Projections/ZFinder.cc
+++ b/src/Projections/ZFinder.cc
@@ -1,124 +1,118 @@
// -*- C++ -*-
#include "Rivet/Projections/ZFinder.hh"
#include "Rivet/Projections/PromptFinalState.hh"
#include "Rivet/Projections/InvMassFinalState.hh"
#include "Rivet/Projections/VetoedFinalState.hh"
namespace Rivet {
ZFinder::ZFinder(const FinalState& inputfs,
const Cut & fsCut,
PdgId pid,
double minmass, double maxmass,
double dRmax,
ChargedLeptons chLeptons,
ClusterPhotons clusterPhotons,
PhotonTracking trackPhotons,
double masstarget)
{
setName("ZFinder");
_minmass = minmass;
_maxmass = maxmass;
_masstarget = masstarget;
_pid = abs(pid);
_trackPhotons = trackPhotons;
// Identify bare leptons for dressing
// Bit of a code nightmare -- FS projection copy constructors don't work?
/// @todo Fix FS copy constructors!!
if (chLeptons == PROMPTCHLEPTONS) {
PromptFinalState inputfs_prompt(inputfs);
IdentifiedFinalState bareleptons = IdentifiedFinalState(inputfs_prompt);
bareleptons.acceptIdPair(_pid);
declare(bareleptons, "BareLeptons");
} else {
IdentifiedFinalState bareleptons = IdentifiedFinalState(inputfs);
bareleptons.acceptIdPair(_pid);
declare(bareleptons, "BareLeptons");
}
// Dress the bare leptons
const bool doClustering = (clusterPhotons != NOCLUSTER);
const bool useDecayPhotons = (clusterPhotons == CLUSTERALL);
DressedLeptons leptons(inputfs, get<FinalState>("BareLeptons"), (doClustering ? dRmax : -1.0), fsCut, useDecayPhotons);
addProjection(leptons, "DressedLeptons");
// Identify the non-Z part of the event
VetoedFinalState remainingFS;
remainingFS.addVetoOnThisFinalState(*this);
addProjection(remainingFS, "RFS");
}
/////////////////////////////////////////////////////
- Particles ZFinder::constituentLeptons() const {
- if (empty()) return Particles();
+ const Particles & ZFinder::constituentLeptons() const {
+ static const Particles none;
+ if (empty()) return none;
return boson().constituents();
- // return boson().constituents(isChargedLepton);
}
-
- Particles ZFinder::constituentLeptons(const ParticleSorter& cmp) const {
- return sortBy(constituentLeptons(), cmp);
- }
-
-
const VetoedFinalState& ZFinder::remainingFinalState() const {
return getProjection<VetoedFinalState>("RFS");
}
int ZFinder::compare(const Projection& p) const {
PCmp LCcmp = mkNamedPCmp(p, "DressedLeptons");
if (LCcmp != EQUIVALENT) return LCcmp;
const ZFinder& other = dynamic_cast<const ZFinder&>(p);
return (cmp(_minmass, other._minmass) ||
cmp(_maxmass, other._maxmass) ||
cmp(_pid, other._pid) ||
cmp(_trackPhotons, other._trackPhotons));
}
void ZFinder::project(const Event& e) {
clear();
// Get leptons and find an acceptable invariant mass OSSF pair
const DressedLeptons& leptons = applyProjection<DressedLeptons>(e, "DressedLeptons");
InvMassFinalState imfs({_pid, -_pid}, _minmass, _maxmass, _masstarget);
imfs.calc(leptons.particles());
if (imfs.particlePairs().empty()) {
MSG_TRACE("No acceptable inv-mass lepton/antilepton pairs found");
return;
}
// Assemble a pseudo-Z particle
const ParticlePair& Zconstituents = imfs.particlePairs().front();
const Particle& p1(Zconstituents.first), p2(Zconstituents.second);
const FourMomentum pZ = p1.momentum() + p2.momentum();
assert(p1.charge3() + p2.charge3() == 0);
Particle z(PID::Z0BOSON, pZ);
MSG_DEBUG(z << " reconstructed from: " << p1 << " + " << p2);
// Add (dressed) lepton constituents to the Z (skipping photons if requested)
// Keep the DressedLeptons found by the ZFinder
const Particle& l1 = p1.charge() > 0 ? p1 : p2;
const Particle& l2 = p2.charge() < 0 ? p2 : p1;
MSG_TRACE("l1 = " << l1.constituents());
MSG_TRACE("l2 = " << l2.constituents());
z.addConstituent(_trackPhotons == TRACK ? l1 : l1.constituents().front());
z.addConstituent(_trackPhotons == TRACK ? l2 : l2.constituents().front());
MSG_DEBUG("Number of stored raw Z constituents = " << z.rawConstituents().size() << " " << z.rawConstituents());
// Register the completed Z
_theParticles.push_back(z);
}
}
diff --git a/src/Tools/Makefile.am b/src/Tools/Makefile.am
--- a/src/Tools/Makefile.am
+++ b/src/Tools/Makefile.am
@@ -1,19 +1,21 @@
+SUBDIRS = Nsubjettiness
+
noinst_LTLIBRARIES = libRivetTools.la
libRivetTools_la_SOURCES = \
+ BinnedHistogram.cc \
Cuts.cc \
JetUtils.cc \
Random.cc \
Logging.cc \
ParticleUtils.cc \
ParticleName.cc \
RivetYODA.cc \
RivetMT2.cc \
RivetPaths.cc \
Utils.cc \
- binreloc.c \
- BinnedHistogram.cc
+ binreloc.c
-dist_noinst_HEADERS = binreloc.h lester_mt2_bisect.hh mt2_bisect.hh
+dist_noinst_HEADERS = binreloc.h lester_mt2_bisect.hh
libRivetTools_la_CPPFLAGS = $(AM_CPPFLAGS) -DENABLE_BINRELOC -DDEFAULTDATADIR=\"$(datadir)\" -DDEFAULTLIBDIR=\"$(libdir)\"
diff --git a/src/Tools/Nsubjettiness/AUTHORS b/src/Tools/Nsubjettiness/AUTHORS
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/AUTHORS
@@ -0,0 +1,47 @@
+-------------------------------------------------------------------------------
+
+The Nsubjettiness FastJet contrib was written, maintained, and developed by:
+
+ Jesse Thaler <jthaler@mit.edu>
+ Ken Van Tilburg <kenvt@stanford.edu>
+ Christopher K. Vermilion <christopher.vermilion@gmail.com>
+ TJ Wilkason <tjwilk@mit.edu>
+
+Questions and comments should be directed to: jthaler@mit.edu.
+
+-------------------------------------------------------------------------------
+
+For physics details on N-subjettiness, see:
+
+ Identifying Boosted Objects with N-subjettiness.
+ Jesse Thaler and Ken Van Tilburg.
+ JHEP 1103:015 (2011), arXiv:1011.2268.
+
+ Maximizing Boosted Top Identification by Minimizing N-subjettiness.
+ Jesse Thaler and Ken Van Tilburg.
+ JHEP 1202:093 (2012), arXiv:1108.2701.
+
+New in v2.0 is the winner-take-all axis, described in:
+
+ Jet Observables Without Jet Algorithms.
+ Daniele Bertolini, Tucker Chan, and Jesse Thaler.
+ JHEP 1404:013 (2014), arXiv:1310.7584.
+
+ Jet Shapes with the Broadening Axis.
+ Andrew J. Larkoski, Duff Neill, and Jesse Thaler.
+ JHEP 1404:017 (2014), arXiv:1401.2158.
+
+ Unpublished work by Gavin Salam.
+
+New in v2.2 is the XCone jet algorithm, described in:
+
+ XCone: N-jettiness as an Exclusive Cone Jet Algorithm.
+ Iain W. Stewart, Frank J. Tackmann, Jesse Thaler,
+ Christopher K. Vermilion, and Thomas F. Wilkason.
+ arXiv:1508.01516.
+
+ Resolving Boosted Jets with XCone.
+ Jesse Thaler and Thomas F. Wilkason.
+ arXiv:1508.01518.
+
+-------------------------------------------------------------------------------
diff --git a/src/Tools/Nsubjettiness/AxesDefinition.cc b/src/Tools/Nsubjettiness/AxesDefinition.cc
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/AxesDefinition.cc
@@ -0,0 +1,95 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: AxesDefinition.cc 833 2015-07-23 14:35:23Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#include "AxesDefinition.hh"
+
+namespace Rivet {
+
+namespace Nsubjettiness { using namespace fastjet;
+
+// Repeatedly calls the one pass finder to try to find global minimum
+std::vector<fastjet::PseudoJet> AxesDefinition::get_multi_pass_axes(int n_jets,
+ const std::vector <fastjet::PseudoJet> & inputJets,
+ const std::vector <fastjet::PseudoJet> & seedAxes,
+ const MeasureDefinition* measure) const {
+
+ assert(n_jets == (int)seedAxes.size()); //added int casting to get rid of compiler warning
+
+ // first iteration
+ std::vector<fastjet::PseudoJet> bestAxes = measure->get_one_pass_axes(n_jets, inputJets, seedAxes,_nAttempts,_accuracy);
+
+ double bestTau = measure->result(inputJets,bestAxes);
+
+ for (int l = 1; l < _Npass; l++) { // Do minimization procedure multiple times (l = 1 to start since first iteration is done already)
+
+ // Add noise to current best axes
+ std::vector< PseudoJet > noiseAxes(n_jets, PseudoJet(0,0,0,0));
+ for (int k = 0; k < n_jets; k++) {
+ noiseAxes[k] = jiggle(bestAxes[k]);
+ }
+
+ std::vector<fastjet::PseudoJet> testAxes = measure->get_one_pass_axes(n_jets, inputJets, noiseAxes,_nAttempts,_accuracy);
+ double testTau = measure->result(inputJets,testAxes);
+
+ if (testTau < bestTau) {
+ bestTau = testTau;
+ bestAxes = testAxes;
+ }
+ }
+
+ return bestAxes;
+}
+
+
+// Used by multi-pass minimization to jiggle axes with noise range.
+PseudoJet AxesDefinition::jiggle(const PseudoJet& axis) const {
+ double phi_noise = ((double)rand()/(double)RAND_MAX) * _noise_range * 2.0 - _noise_range;
+ double rap_noise = ((double)rand()/(double)RAND_MAX) * _noise_range * 2.0 - _noise_range;
+
+ double new_phi = axis.phi() + phi_noise;
+ if (new_phi >= 2.0*M_PI) new_phi -= 2.0*M_PI;
+ if (new_phi <= -2.0*M_PI) new_phi += 2.0*M_PI;
+
+ PseudoJet newAxis(0,0,0,0);
+ newAxis.reset_PtYPhiM(axis.perp(),axis.rap() + rap_noise,new_phi);
+ return newAxis;
+}
+
+
+LimitedWarning HardestJetAxes::_too_few_axes_warning;
+LimitedWarning ExclusiveJetAxes::_too_few_axes_warning;
+LimitedWarning ExclusiveCombinatorialJetAxes::_too_few_axes_warning;
+
+std::vector<fastjet::PseudoJet> Manual_Axes::get_starting_axes(int,
+ const std::vector<fastjet::PseudoJet>&,
+ const MeasureDefinition *) const {
+ // This is a function dummy and should never be called
+ assert(false);
+ std::vector<fastjet::PseudoJet> dummy;
+ return dummy;
+}
+
+} // namespace Nsubjettiness
+
+}
diff --git a/src/Tools/Nsubjettiness/COPYING b/src/Tools/Nsubjettiness/COPYING
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/COPYING
@@ -0,0 +1,369 @@
+The Nsubjettiness contrib to FastJet is released
+under the terms of the GNU General Public License v2 (GPLv2).
+
+A copy of the GPLv2 is to be found at the end of this file.
+
+While the GPL license grants you considerable freedom, please bear in
+mind that this code's use falls under guidelines similar to those that
+are standard for Monte Carlo event generators
+(http://www.montecarlonet.org/GUIDELINES). In particular, if you use
+this code as part of work towards a scientific publication, whether
+directly or contained within another program you should include a citation
+to
+
+N-subjettiness:
+ arXiv:1011.2268
+ arXiv:1108.2701
+
+Winner-take-all axes:
+ arXiv:1310.7584
+ arXiv:1401.2158
+
+XCone:
+ arXiv:1508.01516
+ arXiv:1508.01518
+
+
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diff --git a/src/Tools/Nsubjettiness/ChangeLog b/src/Tools/Nsubjettiness/ChangeLog
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/ChangeLog
@@ -0,0 +1,326 @@
+2016-06-08 <jthaler>
+ Fixed bug in MeasureDefinition.cc where axes were not completely defined,
+ leading to problems with multi-pass axes
+2016-04-04 <jthaler>
+ Fixed Njettiness.cc to give value of _current_tau_components even if less
+ than N constituents
+ Delete extraneous code in example_advanced_usage.cc
+2016-03-29 <jthaler>
+ Update for FJ 3.2.0 to deal with SharedPtr () deprecation
+2015-09-28 <jthaler>
+ Updated NEWS for 2.2.1 release.
+2015-09-18 <jthaler>
+ Fixed duplicate XConePlugin entry in Makefile.
+2015-08-20 <jthaler>
+ Trying to fix "abs" bug in ExtraRecombiners.cc
+2015-08-19 <jthaler>
+ Adding arXiv numbers to XCone papers
+ Used this_jet in example_basic_usage.
+ Fixed typo in example_advanced_usage header.
+ Added copy/paste code in README file.
+2015-08-13 <jthaler>
+ Ready for 2.2.0 release
+2015-07-23 <jthaler>
+ Fixed typo in GenET_GenKT_Axes error message
+ Added _too_few_axes_warning to ExclusiveJetAxes and ExclusiveCombinatorialJetAxes
+ Switched to ../data/single_event_ee.dat for make check
+2015-07-20 <jthaler>
+ Renamed WinnerTakeAllRecombiner.hh/cc to ExtraRecombiners.hh/cc
+ Added _too_few_axes_warning to HardestJetAxes
+ Added GenKT_Axes and OnePass_GenKT_Axes and Comb_GenKT_Axes (using E-scheme recombination).
+ Added warning about p < 0 or delta <=0 in GenKT axes finders.
+ Added warning about beta <= 0 in all measures.
+2015-07-10 <jthaler>
+ Putting in small tweaks in documentation to get ready for 2.2 release candidate 1.
+2015-06-15 <jthaler>
+ Starting doxygen file for eventual improved documentation.
+ Starting long process of improving documentation throughout.
+ Made the basic usage file a bit easier to read.
+ Adding in LimitedWarnings for old style constructors
+2015-06-12 <jthaler>
+ Synchronized definition of new measures with XCone paper.
+ In MeasureDefinition, added default values of jet_distance_squared and beam_distance_squared for cases where we don't want to optimize specifically.
+ Fixed bug in OriginalGeometricMeasure and ModifiedGeometric Measure
+ Commented out DeprecatedGeometricMeasure and DeprecatedGeometricCutoffMeasure since they were only causing confusion
+2015-05-26 <TJW>
+ Removed axis_scale_factor(), added bool to calculate this value if needed to save computation time
+ Defined small offset in denominator of axis scaling according to accuracy of refinement
+ Updated advanced examples to include tau values and number of jet constituents
+2015-05-25 <jthaler>
+ Clean up of AxesDefinition
+ Splitting get_axes into get_starting_axes and get_refined axes
+ Putting in proper noise ranges (hopefully) for MultiPass
+ Clean up of MeasureDefinition, rename jet_gamma to beam_gamma
+ Put in zero checking for jet_distance in ConicalGeometricMeasure
+ Added in ConicalMeasure for consistency
+ Changing OnePass Minimization to allow for temporary uphill
+2015-05-24 <TJW>
+ Added Combinatorial GenET_GenKT_Axes and MultiPass_Manual_Axes
+ Moved Axes refining information into MeasureDefinition, associated each measure with corresponding axes refiner
+ Moved get_one_pass_axes into MeasureDefinition, removed any mention of Npass
+ Moved all information on number of passes to AxesDefinition
+ Made AxesRefiner.hh/.cc into defunct files
+2015-05-22 <jthaler>
+ Cleaning out commented text. Renaming classes to be consistent with recommended usage.
+2015-05-22 <TJW>
+ Added XConePlugin as a specific implementation of NjettinessPlugin
+ Added usage of XCone beta = 1.0 and beta = 2.0 to both basic and advanced example files
+ Added OriginalGeometric, ModifiedGeometric, ConicalGeometric, and XCone measures to list of test measures
+ Added OnePass_GenRecomb_GenKT_Axes to list of test axes
+ Added description to XCone measure in MeasureDefinition
+2015-05-21 <TJW>
+ Updated minimization scheme to avoid divide-by-zero errors
+ Fixed various factors of 2 in the definition of the measures
+2015-04-19 <TJW>
+ Fixed bug in minimization scheme for GeneralAxesRefiner
+ Moved measure_type to DefaultMeasure, removed geometric measure from e+e- example file
+2015-03-22 <TJW>
+ Added OriginalGeometricMeasure and ModifiedGeometricMeasure definitions
+ Changed all instances of GeometricMeasure to DeprecatedGeometricMeasure, and added error statements
+ Made GeneralAxesRefiner the default axes refiner for Measure Definition, overwritten by DefaultMeasure and GeometricMeasure
+ Created DefaultMeasure class for all the conical measure subclasses
+ Separated out e+e- and pp measures into separate example files
+2015-03-09 <TJW>
+ Added ConicalGeometric measures with jet_beta and jet_gamma definitions
+ Added XCone measures derived from ConicalGeometric with jet_gamma = 1.0
+ Added GeneralAxesRefiner for use with any measure (currently defined with XCone measure)
+ Added axes_numerator in MeasureDefinition to define the momentum scaling for minimization (currently only defined for Conical Geometric measure)
+2014-11-28 <TJW>
+ Minor change to default parameters in axes definition
+2014-10-08 <TJW>
+ Updated example file with new e+e- measure definitions
+ Added measure type to measure definition descriptions
+ Changed order of parameters in new axes definitions
+ Added standard C++ epsilon definition to GeneralERecombiner
+2014-10-07 <TJW>
+ Updated example_advanced_usage with new axes choices
+ Reversed inheritance of NormalizedMeasure and NormalizedCutoffMeasure (and Geometric) back to original
+ Storing _RcutoffSq as separate variable, and recalculating it in NormalizedMeasure
+ Cleaning up ExclusiveCombinatorialJetAxes and added comments to explain the process
+ Fixed memory leaks using delete_recombiner_when_unused()
+ Fixed manual axes bug in Njettiness
+ Cleaned up enum definitions
+2014-10-01 <TJW>
+ Added new parameterized recombination scheme to Winner-Take-All recombiner
+ Created Winner-Take-All GenKT and general Recomb GenKT axes finders and onepass versions
+ Created new N choose M minimization axis finder, created N choose M WTA GenKT axis finder as example
+ Removed NPass as constructor argument in AxesDefinition, made it set through protected method
+ Removed TauMode as constructor argument in MeasureDefinition, made it set through protected method
+ Flipped inheritance of NormalizedMeasure and NormalizedCutoffMeasure (same for Geometric) to remove error of squaring the integer maximum
+ Created new MeasureType enum to allow user to choose between pp and ee variables (ee variables need testing)
+ Updated MeasureDefinition constructors to take in extra MeasureType parameter (but defaulted to pp variables)
+ Added new Default TauMode argument
+ Fixed unsigned integers in various places
+ Added setAxes method to NjettinessPlugin
+2014-08-26 <JDT>
+ Enhanced TauComponents to include more infomation
+ NjettinessExtras now inherits from TauComponents
+ Removed getPartition from Njettiness, to avoid code duplication
+ Fixed double calculating issue in NjettinessPlugin::run_clustering()
+ Now AxesDefinition can use measure information without running AxesRefiner
+ Added TauStructure so the jets returned by TauComponents can know their tau value.
+2014-08-25 <JDT>
+ Merged MeasureDefinition and MeasureFunction into new MeasureDefinition.
+ Merged StartingAxesFinder and AxesDefinition into new AxesDefinition.
+ Renamed AxesFinder.cc/hh to AxesRefiner.cc/hh
+ Renamed NjettinessDefinition.cc/hh to AxesDefinition.cc/hh
+ Renamed MeasureFunction.cc/hh to MeasureDefinition.cc/hh
+ Renaming result() function in MeasureDefinition to be consistent with Nsubjettiness interface.
+ Split off TauComponents into separate header
+ Added TauPartition class for readability of partitioning
+ Moved NjettinessExtras into TauComponents, as this will eventually be the logical location
+ Added cross check of new MeasureDefinition and AxesDefinition in example_advanced_usage.
+ Lots of comments updated.
+ Changed version number to 2.2.0-alpha-dev, since this is going to be a bigger update than I had originally thought
+2014-08-20 <JDT>
+ Incorporated code in NjettinessPlugin to handle FJ3.1 treatment of auto_ptr (thanks Gregory)
+ Changed version number to 2.1.1-alpha-dev
+ Split AxesFinder into StartingAxesFinder and RefiningAxesFinder for clarity.
+ Manual axes mode now corresponds to a NULL StartingAxesFinder in Njettiness (so removed AxesFinderFromUserInput)
+ Added AxesRefiningMode to make selection of minimization routine more transparent in Njettiness
+ Moved sq() to more appropriate place in AxesFinder.hh
+ Rearranged Nsubjettiness.hh to make the old code less visible.
+ Renamed AxesFinderFromOnePassMinimization -> AxesFinderFromConicalMinimization
+ Renamed DefaultUnnormalizedMeasureFunction -> ConicalUnnormalizedMeasureFunction
+ Removed supportsMultiPassMinimization() from MeasureDefinition since any One Pass algorithm can be multipass.
+2014-07-09 <JDT>
+ Changed version for 2.1.0 release.
+ Updated NEWS to reflect 2.1.0 release
+2014-07-07 <JDT>
+ Added forward declaration of options in NjettinessDefinition for readability.
+ Updated README with some clarifications
+ Added usage information in the example file
+ Reran svn propset svn:keywords Id *.cc *.hh
+2014-06-25 <JDT>
+ Declaring release candidate of 2.1
+2014-06-11 <JDT>
+ Fixed virtual destructor issue in AxesFinder
+ Changing copy() to create() in NjettinessDefinition for "new" clarity
+ Converted some SharedPtr to regular pointers in NjettinessDefinition to be consistent on meaning of "create" commands.
+2014-06-10 <JDT>
+ Slight modification of example_advanced_usage
+ Fixed bug in GeometricCutoffMeasure (incorrect denominator setting)
+2014-06-05 <JDT>
+ Moved public before private in the .hh files for readability
+ Starting process of switching to SharedPtr internally
+ Clean up of AxesFinderFromGeometricMinimization
+ Simplified AxesFinder interface such that it doesn't know about starting axes finders (this is now handled in Njettiness).
+ Added const qualifiers in Njettiness
+2014-06-04 <JDT>
+ Implemented AxesDefinition class
+ Added descriptions to AxesDefinition and MeasureDefinition
+ Simplified example_advanced_usage with new Definitions
+ Made copy constructor private for Njettiness, to avoid copying
+2014-06-03 <JDT>
+ Implemented remaining suggestions from FJ authors (Thanks!)
+ Fixed bug in example_advanced_usage where wrong beta value was used for NjettinessPlugin tests.
+ Removed NANs as signals for number of parameters in Nsubjettiness and NjettinessPlugin
+ Reduced the number of allowed parameters from 4 to 3.
+ Wrapped NEWS to 80 characters
+ Added MeasureDefinition as way to safely store information about the measures used
+ Converted a few NANs to std::numeric_limits<double>::quiet_NaN() when a parameter shouldn't be used.
+ Added AxesStruct and MeasureStruct to simplify the form of example_advanced_usage
+ Added example_v1p0p3 to check for backwards compatibility with v1.0.3
+ Changed the names of the MeasureFunctions in order to avoid conflicts with the new MeasureDefinitions
+ Fixed bug in correlation between subjets and tau values in NjettinessPlugin
+ Added currentTauComponents to Nsubjettiness
+ Added subTau information to example_basic_usage
+ Added file NjettinessDefinition to hold MeasureDefinition
+ Changed Njettiness constructors to treat MeasureSpecification as primary object
+ Fixed segmentation fault with ClusterSequenceAreas
+2014-06-02 <JDT>
+ Implemented many suggestions from FJ authors (Thanks!)
+ Removed FastJet 2 specific code
+ Made sq() function into internal namespace (as "inline static" to avoid conflicts with other packages)
+ Made setAxes() take const reference argument
+ Rewrapped README to 80 characters and updated/improved some of the descriptions
+ Clarified NEWS about what parts of the Nsubjettiness code is backwards compatible with v1.0.3
+ Clarified the para choices in Nsubjettiness constructor
+2014-04-30 <JDT>
+ Added (void)(n_jets) in AxesFinder.hh to fix unused-parameter warning
+2014-04-29 <JDT>
+ Added manual definition of NAN for compilers that don't have it.
+ Removed a few more unused parameters for compilation
+2014-04-22 <JDT>
+ Turned on -Wunused-parameter compiler flag to fix ATLAS compile issues.
+2014-04-18 <JDT>
+ Tweaks to NEWS and README. Preparing for 2.0.0-rc1 release.
+2014-04-16 <JDT>
+ Decided that enough has changed that this should be v2.0
+ Added Id tags
+2014-04-14 <JDT>
+ Added get_partition_list to MeasureFunction
+ Removed do_cluster from MeasureFunction (no longer needed)
+ Fixed bug with NjettinessPlugin where jets were listed in backwards order from axes.
+ Removed various commented out pieces of code.
+2014-03-16 <JDT>
+ Added partitioning information to Nsubjettiness
+ Partitioning is now calculated in MeasureFunction and stored by Njettiness.
+ Rewrote MeasureFunction result() to call result_from_partition()
+ Added subjet (and constituent counting) information to example_basic_usage
+ Commented out redundant "getJets" function
+2014-02-25 <JDT>
+ Added access to seedAxes used for one-pass minimization routines.
+ Added axes print out to example_basic_usage, and fixed too many PrintJets declarations
+2014-02-24 <JDT>
+ Fixed embarrassing bug with min_axes (error introduced after v1.0 to make it the same as onepass_kt)
+ Simplified GeometricMeasure and added possibility of beta dependence
+ Commented out WTA2 options, since those have not been fully tested (nor do they seem particularly useful at the moment). They can be reinstated if the physics case can be made to use them.
+ Split example into example_basic_usage and example_advanced_usage
+2014-01-28 <TJ>
+ Added new options in WinnerTakeAllRecombiner to use either pT or pT^2/E to recombine particles
+2014-01-24 <JDT>
+ Added access to currentAxes from Nsubjettiness.
+2014-01-18 <JDT>
+ Added beam regions to MeasureFunction, correspondingly renamed functions to have jet and beam regions
+ Renamed functions in TauComponents for consistency with MeasureFunction
+ Adding debugging code to AxesFinderFromOnePassMinimization::getAxes
+ Worked extensively on example.cc to make sure that it tests all available options.
+ Rewrote PrintJets command in example.cc for later improvements
+ Converted some magic numbers to std::numeric_limits<double>::max()
+2014-01-17 <JDT>
+ Rewrote KMeansMinimization to call OnePassMinimization, adding noise explicitly.
+ Removed any nothing of noise from OnePassMinimization
+ Removed Double32_t for root usage is Nsubjettiness
+ Clean up of many comments throughout the code, updating of README file
+ Removed unnecessary establishAxes in Njettiness
+ Removed bare constructor for Njettiness to avoid incompatibility with enum choices, may reinstate later. Also removed setMeasureFunction, setAxesFinder for same reason
+ NjettinessExtras now calls TauComponents
+2014-01-16 <TJ>
+ Moved minimization functions to OnePassMinimization, changed KMeansMinimization class to simply call OnePassMinimization a specified number of times
+ Added extra tau function in TauComponents for users to get tau directly
+ Changed radius parameter in AxesFinderFromExclusiveJet subclasses to use max_allowable_R
+ Updated example.ref to account for changes due to change in radius parameter
+2014-01-15 <TJ>
+ Changed NjettinessComponents to TauComponents
+ Updated MeasureFunction with "result" function that returns TauComponents object
+ TauComponents changed to calculate all tau components given subtaus_numerator and tau_denominator
+ Njettiness updated to return TauComponents object rather than individual components
+ Nsubjettiness and NjettinessPlugin updated to have option for 4th parameter
+2014-01-14 <TJ>
+ Added NjettinessComponents class so Njettiness does not recalculate tau values
+ Removed old Njettiness constructors, updated Nsubjettiness and NjettinessPlugin constructors to use new constructor
+ Added geometric minimization to OnePassAxesFinders
+ Created new Njettiness function to set OnePassAxesFinders to reduce code
+ Updated LightLikeAxis with ConvertToPseudoJet function
+ Updated README with new functionality of code
+2014-01-12 <TJ>
+ Removed NsubGeometricParameters in all functions/constructors, replaced with Rcutoff double
+ Added three new measure mode options where Rcutoff is declared explicitly in parameters
+ Added checks so minimization axes finders are not used for geometric measures
+ AxesFinderFromOnePassMinimization class created as child of AxesFinderFromKmeansMinimization
+ Added new NsubjettinessRatio constructor to include MeasureMode option
+ Moved AxesFinder and MeasureFunction declarations from AxesMode and MeasureMode into separate Njettiness function
+ Removed R0 from AxesFinderFromKmeansMinimization
+ Changed example.cc to get rid of use of NsubGeometricParameters
+2014-01-9 <TJ>
+ Removed NsubParameters in all functions/constructors, replaced with three separate parameters
+ Added checks for correct number of parameters in Njettiness constructor
+2014-01-8 <TJ>
+ Removed normalization information from Nsubjettiness
+ Added flag to MeasureFunction to give option of using the denominator
+ Split DefaultMeasure into separate normalized and unnormalized classes
+2014-01-7 <TJ>
+ Added capability of choosing a specific Measure in Njettiness
+ Added new Nsubjettiness constructor to allow choice of both AxesMode and MeasureMode
+2014-01-6 <TJ>
+ Updated copyright information
+ Fixed bug in WinnerTakeAllRecombiner
+ Moved KMeansParameters to AxesFinder
+ Updated README with descriptions of new header files
+2013-12-30 <TJ>
+ Changed name of MeasureFunctor to MeasureFunction
+ Created separate .hh/.cc files for MeasureFunction, AxesFinder, and WinnerTakeAllRecombiner
+ Updated Makefile to account for new files
+ Removed getMinimumAxes in AxesFinderFromKMeansMinimization, consolidated with getAxes
+ Updated comments on classes and major functions
+2013-12-22 <TJ>
+ Created .cc files and moved all function definitions into .cc files
+ Updated Makefile to account for new .cc files
+2013-11-12 <TJ>
+ Added to fjcontrib svn
+2013-11-12 <jthaler>
+ Debugging svn
+2013-11-11 <TJ>
+ Changed MeasureFunctor to separately treat tau numerator and denominator
+ Changed some of the function names in MeasureFunctor. Should not affect users
+ Added more informative function names to Njettiness.
+ Njettiness now allows finding unnormalized tau values
+ Added WTARecombiner to define winner-take-all axes
+ Added various WTA options to AxesMode
+ Added setAxes to Nsubjettiness
+ Added NsubjettinessRatio function
+2013-08-26 <jthaler>
+ Added inlines to fix compile issue
+ Put some of the minimization code inside of the AxesFinderFromKmeansMinimization class
+2013-02-23 <jthaler>
+ Fixed dependency issue (now using make depend)
+2013-02-22 <jthaler>
+ Fixed memory management and failed make check issues.
+2013-02-21 <jthaler>
+ First version submitted to fjcontrib
+2013-02-20 <jthaler>
+ Initial creation based on previous plugin hosted at http://www.jthaler.net/jets/
+
+
+
diff --git a/src/Tools/Nsubjettiness/ExtraRecombiners.cc b/src/Tools/Nsubjettiness/ExtraRecombiners.cc
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/ExtraRecombiners.cc
@@ -0,0 +1,103 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: ExtraRecombiners.cc 842 2015-08-20 13:44:31Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#include "ExtraRecombiners.hh"
+
+namespace Rivet {
+
+namespace Nsubjettiness{
+
+std::string GeneralEtSchemeRecombiner::description() const {
+ return "General Et-scheme recombination";
+}
+
+// recombine pa and pb according to a generalized Et-scheme parameterized by the power delta
+void GeneralEtSchemeRecombiner::recombine(const fastjet::PseudoJet & pa, const fastjet::PseudoJet & pb, fastjet::PseudoJet & pab) const {
+
+ // Define new weights for recombination according to delta
+ // definition of ratio done so that we do not encounter issues about numbers being too large for huge values of delta
+ double ratio;
+ if (std::abs(_delta - 1.0) < std::numeric_limits<double>::epsilon()) ratio = pb.perp()/pa.perp(); // save computation time of pow()
+ else ratio = pow(pb.perp()/pa.perp(), _delta);
+ double weighta = 1.0/(1.0 + ratio);
+ double weightb = 1.0/(1.0 + 1.0/ratio);
+
+ double perp_ab = pa.perp() + pb.perp();
+ // reweight the phi and rap sums according to the weights above
+ if (perp_ab != 0.0) {
+ double y_ab = (weighta * pa.rap() + weightb * pb.rap());
+
+ double phi_a = pa.phi(), phi_b = pb.phi();
+ if (phi_a - phi_b > pi) phi_b += twopi;
+ if (phi_a - phi_b < -pi) phi_b -= twopi;
+ double phi_ab = (weighta * phi_a + weightb * phi_b);
+
+ pab.reset_PtYPhiM(perp_ab, y_ab, phi_ab);
+
+ }
+ else {
+ pab.reset(0.0,0.0,0.0,0.0);
+ }
+}
+
+
+std::string WinnerTakeAllRecombiner::description() const {
+ return "Winner-Take-All recombination";
+}
+
+// recombine pa and pb by creating pab with energy of the sum of particle energies in the direction of the harder particle
+// updated recombiner to use more general form of a metric equal to E*(pT/E)^(alpha), which reduces to pT*cosh(rap)^(1-alpha)
+// alpha is specified by the user. The default is alpha = 1, which is the typical behavior. alpha = 2 provides a metric which more
+// favors central jets
+void WinnerTakeAllRecombiner::recombine(const fastjet::PseudoJet & pa, const fastjet::PseudoJet & pb, fastjet::PseudoJet & pab) const {
+ double a_pt = pa.perp(), b_pt = pb.perp(), a_rap = pa.rap(), b_rap = pb.rap();
+
+ // special case of alpha = 1, everything is just pt (made separate so that pow function isn't called)
+ if (_alpha == 1.0) {
+ if (a_pt >= b_pt) {
+ pab.reset_PtYPhiM(a_pt + b_pt, a_rap, pa.phi());
+ }
+ else if (b_pt > a_pt) {
+ pab.reset_PtYPhiM(a_pt + b_pt, b_rap, pb.phi());
+ }
+ }
+
+ // every other case uses additional cosh(rap) term
+ else {
+ double a_metric = a_pt*pow(cosh(a_rap), 1.0-_alpha);
+ double b_metric = b_pt*pow(cosh(b_rap), 1.0-_alpha);
+ if (a_metric >= b_metric) {
+ double new_pt = a_pt + b_pt*pow(cosh(b_rap)/cosh(a_rap), 1.0-_alpha);
+ pab.reset_PtYPhiM(new_pt, a_rap, pa.phi());
+ }
+ if (b_metric > a_metric) {
+ double new_pt = b_pt + a_pt*pow(cosh(a_rap)/cosh(b_rap), 1.0-_alpha);
+ pab.reset_PtYPhiM(new_pt, b_rap, pb.phi());
+ }
+ }
+}
+
+} //namespace Nsubjettiness
+
+}
diff --git a/src/Tools/Nsubjettiness/Makefile.am b/src/Tools/Nsubjettiness/Makefile.am
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/Makefile.am
@@ -0,0 +1,15 @@
+noinst_LTLIBRARIES = libRivetNsubjettiness.la
+
+libRivetNsubjettiness_la_SOURCES = \
+Nsubjettiness.cc \
+Njettiness.cc \
+NjettinessPlugin.cc \
+XConePlugin.cc \
+MeasureDefinition.cc \
+ExtraRecombiners.cc \
+AxesDefinition.cc \
+TauComponents.cc
+
+libRivetNsubjettiness_la_CPPFLAGS = \
+$(AM_CPPFLAGS) \
+-I${top_srcdir}/include/Rivet/Tools/Nsubjettiness
\ No newline at end of file
diff --git a/src/Tools/Nsubjettiness/MeasureDefinition.cc b/src/Tools/Nsubjettiness/MeasureDefinition.cc
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/MeasureDefinition.cc
@@ -0,0 +1,628 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: MeasureDefinition.cc 946 2016-06-14 19:11:27Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+
+// #include "AxesRefiner.hh"
+#include "MeasureDefinition.hh"
+
+#include <iomanip>
+
+
+namespace Rivet {
+
+namespace Nsubjettiness { using namespace fastjet;
+
+///////
+//
+// Measure Function
+//
+///////
+
+
+//descriptions updated to include measure type
+std::string DefaultMeasure::description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Default Measure (should not be used directly)";
+ return stream.str();
+};
+
+std::string NormalizedMeasure::description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Normalized Measure (beta = " << _beta << ", R0 = " << _R0 << ")";
+ return stream.str();
+};
+
+std::string UnnormalizedMeasure::description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Unnormalized Measure (beta = " << _beta << ", in GeV)";
+ return stream.str();
+};
+
+
+std::string NormalizedCutoffMeasure::description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Normalized Cutoff Measure (beta = " << _beta << ", R0 = " << _R0 << ", Rcut = " << _Rcutoff << ")";
+ return stream.str();
+};
+
+std::string UnnormalizedCutoffMeasure::description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Unnormalized Cutoff Measure (beta = " << _beta << ", Rcut = " << _Rcutoff << ", in GeV)";
+ return stream.str();
+};
+
+//std::string DeprecatedGeometricMeasure::description() const {
+// std::stringstream stream;
+// stream << std::fixed << std::setprecision(2)
+// << "Deprecated Geometric Measure (beta = " << _jet_beta << ", in GeV)";
+// return stream.str();
+//};
+
+//std::string DeprecatedGeometricCutoffMeasure::description() const {
+// std::stringstream stream;
+// stream << std::fixed << std::setprecision(2)
+// << "Deprecated Geometric Cutoff Measure (beta = " << _jet_beta << ", Rcut = " << _Rcutoff << ", in GeV)";
+// return stream.str();
+//};
+
+std::string ConicalMeasure::description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Conical Measure (beta = " << _beta << ", Rcut = " << _Rcutoff << ", in GeV)";
+ return stream.str();
+};
+
+std::string OriginalGeometricMeasure::description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Original Geometric Measure (Rcut = " << _Rcutoff << ", in GeV)";
+ return stream.str();
+};
+
+std::string ModifiedGeometricMeasure::description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Modified Geometric Measure (Rcut = " << _Rcutoff << ", in GeV)";
+ return stream.str();
+};
+
+std::string ConicalGeometricMeasure::description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "Conical Geometric Measure (beta = " << _jet_beta << ", gamma = " << _beam_gamma << ", Rcut = " << _Rcutoff << ", in GeV)";
+ return stream.str();
+};
+
+
+std::string XConeMeasure::description() const {
+ std::stringstream stream;
+ stream << std::fixed << std::setprecision(2)
+ << "XCone Measure (beta = " << _jet_beta << ", Rcut = " << _Rcutoff << ", in GeV)";
+ return stream.str();
+};
+
+// Return all of the necessary TauComponents for specific input particles and axes
+TauComponents MeasureDefinition::component_result(const std::vector<fastjet::PseudoJet>& particles,
+ const std::vector<fastjet::PseudoJet>& axes) const {
+
+ // first find partition
+ TauPartition partition = get_partition(particles,axes);
+
+ // then return result calculated from partition
+ return component_result_from_partition(partition,axes);
+}
+
+TauPartition MeasureDefinition::get_partition(const std::vector<fastjet::PseudoJet>& particles,
+ const std::vector<fastjet::PseudoJet>& axes) const {
+
+ TauPartition myPartition(axes.size());
+
+ // Figures out the partiting of the input particles into the various jet pieces
+ // Based on which axis the parition is closest to
+ for (unsigned i = 0; i < particles.size(); i++) {
+
+ // find minimum distance; start with beam (-1) for reference
+ int j_min = -1;
+ double minRsq;
+ if (has_beam()) minRsq = beam_distance_squared(particles[i]);
+ else minRsq = std::numeric_limits<double>::max(); // make it large value
+
+
+ // check to see which axis the particle is closest to
+ for (unsigned j = 0; j < axes.size(); j++) {
+ double tempRsq = jet_distance_squared(particles[i],axes[j]); // delta R distance
+
+ if (tempRsq < minRsq) {
+ minRsq = tempRsq;
+ j_min = j;
+ }
+ }
+
+ if (j_min == -1) {
+ assert(has_beam()); // should have beam for this to make sense.
+ myPartition.push_back_beam(particles[i],i);
+ } else {
+ myPartition.push_back_jet(j_min,particles[i],i);
+ }
+ }
+
+ return myPartition;
+}
+
+// Uses existing partition and calculates result
+// TODO: Can we cache this for speed up when doing area subtraction?
+TauComponents MeasureDefinition::component_result_from_partition(const TauPartition& partition,
+ const std::vector<fastjet::PseudoJet>& axes) const {
+
+ std::vector<double> jetPieces(axes.size(), 0.0);
+ double beamPiece = 0.0;
+
+ double tauDen = 0.0;
+ if (!has_denominator()) tauDen = 1.0; // if no denominator, then 1.0 for no normalization factor
+
+ // first find jet pieces
+ for (unsigned j = 0; j < axes.size(); j++) {
+ std::vector<PseudoJet> thisPartition = partition.jet(j).constituents();
+ for (unsigned i = 0; i < thisPartition.size(); i++) {
+ jetPieces[j] += jet_numerator(thisPartition[i],axes[j]); //numerator jet piece
+ if (has_denominator()) tauDen += denominator(thisPartition[i]); // denominator
+ }
+ }
+
+ // then find beam piece
+ if (has_beam()) {
+ std::vector<PseudoJet> beamPartition = partition.beam().constituents();
+
+ for (unsigned i = 0; i < beamPartition.size(); i++) {
+ beamPiece += beam_numerator(beamPartition[i]); //numerator beam piece
+ if (has_denominator()) tauDen += denominator(beamPartition[i]); // denominator
+ }
+ }
+
+ // create jets for storage in TauComponents
+ std::vector<PseudoJet> jets = partition.jets();
+
+ return TauComponents(_tau_mode, jetPieces, beamPiece, tauDen, jets, axes);
+}
+
+// new methods added to generalize energy and angle squared for different measure types
+double DefaultMeasure::energy(const PseudoJet& jet) const {
+ double energy;
+ switch (_measure_type) {
+ case pt_R :
+ case perp_lorentz_dot :
+ energy = jet.perp();
+ break;
+ case E_theta :
+ case lorentz_dot :
+ energy = jet.e();
+ break;
+ default : {
+ assert(_measure_type == pt_R || _measure_type == E_theta || _measure_type == lorentz_dot || _measure_type == perp_lorentz_dot);
+ energy = std::numeric_limits<double>::quiet_NaN();
+ break;
+ }
+ }
+ return energy;
+}
+
+double DefaultMeasure::angleSquared(const PseudoJet& jet1, const PseudoJet& jet2) const {
+ double pseudoRsquared;
+ switch(_measure_type) {
+ case pt_R : {
+ pseudoRsquared = jet1.squared_distance(jet2);
+ break;
+ }
+ case E_theta : {
+ // doesn't seem to be a fastjet built in for this
+ double dot = jet1.px()*jet2.px() + jet1.py()*jet2.py() + jet1.pz()*jet2.pz();
+ double norm1 = sqrt(jet1.px()*jet1.px() + jet1.py()*jet1.py() + jet1.pz()*jet1.pz());
+ double norm2 = sqrt(jet2.px()*jet2.px() + jet2.py()*jet2.py() + jet2.pz()*jet2.pz());
+
+ double costheta = dot/(norm1 * norm2);
+ if (costheta > 1.0) costheta = 1.0; // Need to handle case of numerical overflow
+ double theta = acos(costheta);
+ pseudoRsquared = theta*theta;
+ break;
+ }
+ case lorentz_dot : {
+ double dotproduct = dot_product(jet1,jet2);
+ pseudoRsquared = 2.0 * dotproduct / (jet1.e() * jet2.e());
+ break;
+ }
+ case perp_lorentz_dot : {
+ PseudoJet lightJet = lightFrom(jet2); // assuming jet2 is the axis
+ double dotproduct = dot_product(jet1,lightJet);
+ pseudoRsquared = 2.0 * dotproduct / (lightJet.pt() * jet1.pt());
+ break;
+ }
+ default : {
+ assert(_measure_type == pt_R || _measure_type == E_theta || _measure_type == lorentz_dot || _measure_type == perp_lorentz_dot);
+ pseudoRsquared = std::numeric_limits<double>::quiet_NaN();
+ break;
+ }
+ }
+
+ return pseudoRsquared;
+
+}
+
+
+///////
+//
+// Axes Refining
+//
+///////
+
+// uses minimization of N-jettiness to continually update axes until convergence.
+// The function returns the axes found at the (local) minimum
+// This is the general axes refiner that can be used for a generic measure (but is
+// overwritten in the case of the conical measure and the deprecated geometric measure)
+std::vector<fastjet::PseudoJet> MeasureDefinition::get_one_pass_axes(int n_jets,
+ const std::vector <fastjet::PseudoJet> & particles,
+ const std::vector<fastjet::PseudoJet>& currentAxes,
+ int nAttempts,
+ double accuracy) const {
+
+ assert(n_jets == (int)currentAxes.size());
+
+ std::vector<fastjet::PseudoJet> seedAxes = currentAxes;
+
+ std::vector<fastjet::PseudoJet> temp_axes(seedAxes.size(),fastjet::PseudoJet(0,0,0,0));
+ for (unsigned int k = 0; k < seedAxes.size(); k++) {
+ seedAxes[k] = lightFrom(seedAxes[k]) * seedAxes[k].E(); // making light-like, but keeping energy
+ }
+
+ double seedTau = result(particles, seedAxes);
+
+ std::vector<fastjet::PseudoJet> bestAxesSoFar = seedAxes;
+ double bestTauSoFar = seedTau;
+
+ for (int i_att = 0; i_att < nAttempts; i_att++) {
+
+ std::vector<fastjet::PseudoJet> newAxes(seedAxes.size(),fastjet::PseudoJet(0,0,0,0));
+ std::vector<fastjet::PseudoJet> summed_jets(seedAxes.size(), fastjet::PseudoJet(0,0,0,0));
+
+ // find closest axis and assign to that
+ for (unsigned int i = 0; i < particles.size(); i++) {
+
+ // start from unclustered beam measure
+ int minJ = -1;
+ double minDist = beam_distance_squared(particles[i]);
+
+ // which axis am I closest to?
+ for (unsigned int j = 0; j < seedAxes.size(); j++) {
+ double tempDist = jet_distance_squared(particles[i],seedAxes[j]);
+ if (tempDist < minDist) {
+ minDist = tempDist;
+ minJ = j;
+ }
+ }
+
+ // if not unclustered, then cluster
+ if (minJ != -1) {
+ summed_jets[minJ] += particles[i]; // keep track of energy to use later.
+ if (_useAxisScaling) {
+ double pseudoMomentum = dot_product(lightFrom(seedAxes[minJ]),particles[i]) + accuracy; // need small offset to avoid potential divide by zero issues
+ double axis_scaling = (double)jet_numerator(particles[i], seedAxes[minJ])/pseudoMomentum;
+
+ newAxes[minJ] += particles[i]*axis_scaling;
+ }
+ }
+ }
+ if (!_useAxisScaling) newAxes = summed_jets;
+
+ // convert the axes to LightLike and then back to PseudoJet
+ for (unsigned int k = 0; k < newAxes.size(); k++) {
+ if (newAxes[k].perp() > 0) {
+ newAxes[k] = lightFrom(newAxes[k]);
+ newAxes[k] *= summed_jets[k].E(); // scale by energy to get sensible result
+ }
+ }
+
+ // calculate tau on new axes
+ double newTau = result(particles, newAxes);
+
+ // find the smallest value of tau (and the corresponding axes) so far
+ if (newTau < bestTauSoFar) {
+ bestAxesSoFar = newAxes;
+ bestTauSoFar = newTau;
+ }
+
+ if (fabs(newTau - seedTau) < accuracy) {// close enough for jazz
+ seedAxes = newAxes;
+ seedTau = newTau;
+ break;
+ }
+
+ seedAxes = newAxes;
+ seedTau = newTau;
+
+}
+
+ // return the axes corresponding to the smallest tau found throughout all iterations
+ // this is to prevent the minimization from returning a non-minimized of tau due to potential oscillations around the minimum
+ return bestAxesSoFar;
+
+}
+
+
+// One pass minimization for the DefaultMeasure
+
+// Given starting axes, update to find better axes by using Kmeans clustering around the old axes
+template <int N>
+std::vector<LightLikeAxis> DefaultMeasure::UpdateAxesFast(const std::vector <LightLikeAxis> & old_axes,
+ const std::vector <fastjet::PseudoJet> & inputJets,
+ double accuracy
+ ) const {
+ assert(old_axes.size() == N);
+
+ // some storage, declared static to save allocation/re-allocation costs
+ static LightLikeAxis new_axes[N];
+ static fastjet::PseudoJet new_jets[N];
+ for (int n = 0; n < N; ++n) {
+ new_axes[n].reset(0.0,0.0,0.0,0.0);
+ new_jets[n].reset_momentum(0.0,0.0,0.0,0.0);
+ }
+
+ double precision = accuracy; //TODO: actually cascade this in
+
+ /////////////// Assignment Step //////////////////////////////////////////////////////////
+ std::vector<int> assignment_index(inputJets.size());
+ int k_assign = -1;
+
+ for (unsigned i = 0; i < inputJets.size(); i++){
+ double smallestDist = std::numeric_limits<double>::max(); //large number
+ for (int k = 0; k < N; k++) {
+ double thisDist = old_axes[k].DistanceSq(inputJets[i]);
+ if (thisDist < smallestDist) {
+ smallestDist = thisDist;
+ k_assign = k;
+ }
+ }
+ if (smallestDist > sq(_Rcutoff)) {k_assign = -1;}
+ assignment_index[i] = k_assign;
+ }
+
+ //////////////// Update Step /////////////////////////////////////////////////////////////
+ double distPhi, old_dist;
+ for (unsigned i = 0; i < inputJets.size(); i++) {
+ int old_jet_i = assignment_index[i];
+ if (old_jet_i == -1) {continue;}
+
+ const fastjet::PseudoJet& inputJet_i = inputJets[i];
+ LightLikeAxis& new_axis_i = new_axes[old_jet_i];
+ double inputPhi_i = inputJet_i.phi();
+ double inputRap_i = inputJet_i.rap();
+
+ // optimize pow() call
+ // add noise (the precision term) to make sure we don't divide by zero
+ if (_beta == 1.0) {
+ double DR = std::sqrt(sq(precision) + old_axes[old_jet_i].DistanceSq(inputJet_i));
+ old_dist = 1.0/DR;
+ } else if (_beta == 2.0) {
+ old_dist = 1.0;
+ } else if (_beta == 0.0) {
+ double DRSq = sq(precision) + old_axes[old_jet_i].DistanceSq(inputJet_i);
+ old_dist = 1.0/DRSq;
+ } else {
+ old_dist = sq(precision) + old_axes[old_jet_i].DistanceSq(inputJet_i);
+ old_dist = std::pow(old_dist, (0.5*_beta-1.0));
+ }
+
+ // TODO: Put some of these addition functions into light-like axes
+ // rapidity sum
+ new_axis_i.set_rap(new_axis_i.rap() + inputJet_i.perp() * inputRap_i * old_dist);
+ // phi sum
+ distPhi = inputPhi_i - old_axes[old_jet_i].phi();
+ if (fabs(distPhi) <= M_PI){
+ new_axis_i.set_phi( new_axis_i.phi() + inputJet_i.perp() * inputPhi_i * old_dist );
+ } else if (distPhi > M_PI) {
+ new_axis_i.set_phi( new_axis_i.phi() + inputJet_i.perp() * (-2*M_PI + inputPhi_i) * old_dist );
+ } else if (distPhi < -M_PI) {
+ new_axis_i.set_phi( new_axis_i.phi() + inputJet_i.perp() * (+2*M_PI + inputPhi_i) * old_dist );
+ }
+ // weights sum
+ new_axis_i.set_weight( new_axis_i.weight() + inputJet_i.perp() * old_dist );
+ // momentum magnitude sum
+ new_jets[old_jet_i] += inputJet_i;
+ }
+ // normalize sums
+ for (int k = 0; k < N; k++) {
+ if (new_axes[k].weight() == 0) {
+ // no particles were closest to this axis! Return to old axis instead of (0,0,0,0)
+ new_axes[k] = old_axes[k];
+ } else {
+ new_axes[k].set_rap( new_axes[k].rap() / new_axes[k].weight() );
+ new_axes[k].set_phi( new_axes[k].phi() / new_axes[k].weight() );
+ new_axes[k].set_phi( std::fmod(new_axes[k].phi() + 2*M_PI, 2*M_PI) );
+ new_axes[k].set_mom( std::sqrt(new_jets[k].modp2()) );
+ }
+ }
+ std::vector<LightLikeAxis> new_axes_vec(N);
+ for (unsigned k = 0; k < N; ++k) new_axes_vec[k] = new_axes[k];
+ return new_axes_vec;
+}
+
+// Given N starting axes, this function updates all axes to find N better axes.
+// (This is just a wrapper for the templated version above.)
+// TODO: Consider removing this in a future version
+std::vector<LightLikeAxis> DefaultMeasure::UpdateAxes(const std::vector <LightLikeAxis> & old_axes,
+ const std::vector <fastjet::PseudoJet> & inputJets,
+ double accuracy) const {
+ int N = old_axes.size();
+ switch (N) {
+ case 1: return UpdateAxesFast<1>(old_axes, inputJets, accuracy);
+ case 2: return UpdateAxesFast<2>(old_axes, inputJets, accuracy);
+ case 3: return UpdateAxesFast<3>(old_axes, inputJets, accuracy);
+ case 4: return UpdateAxesFast<4>(old_axes, inputJets, accuracy);
+ case 5: return UpdateAxesFast<5>(old_axes, inputJets, accuracy);
+ case 6: return UpdateAxesFast<6>(old_axes, inputJets, accuracy);
+ case 7: return UpdateAxesFast<7>(old_axes, inputJets, accuracy);
+ case 8: return UpdateAxesFast<8>(old_axes, inputJets, accuracy);
+ case 9: return UpdateAxesFast<9>(old_axes, inputJets, accuracy);
+ case 10: return UpdateAxesFast<10>(old_axes, inputJets, accuracy);
+ case 11: return UpdateAxesFast<11>(old_axes, inputJets, accuracy);
+ case 12: return UpdateAxesFast<12>(old_axes, inputJets, accuracy);
+ case 13: return UpdateAxesFast<13>(old_axes, inputJets, accuracy);
+ case 14: return UpdateAxesFast<14>(old_axes, inputJets, accuracy);
+ case 15: return UpdateAxesFast<15>(old_axes, inputJets, accuracy);
+ case 16: return UpdateAxesFast<16>(old_axes, inputJets, accuracy);
+ case 17: return UpdateAxesFast<17>(old_axes, inputJets, accuracy);
+ case 18: return UpdateAxesFast<18>(old_axes, inputJets, accuracy);
+ case 19: return UpdateAxesFast<19>(old_axes, inputJets, accuracy);
+ case 20: return UpdateAxesFast<20>(old_axes, inputJets, accuracy);
+ default: std::cout << "N-jettiness is hard-coded to only allow up to 20 jets!" << std::endl;
+ return std::vector<LightLikeAxis>();
+ }
+
+}
+
+// uses minimization of N-jettiness to continually update axes until convergence.
+// The function returns the axes found at the (local) minimum
+std::vector<fastjet::PseudoJet> DefaultMeasure::get_one_pass_axes(int n_jets,
+ const std::vector <fastjet::PseudoJet> & inputJets,
+ const std::vector<fastjet::PseudoJet>& seedAxes,
+ int nAttempts,
+ double accuracy
+ ) const {
+
+ // if the measure type doesn't use the pt_R metric, then the standard minimization scheme should be used
+ if (_measure_type != pt_R) {
+ return MeasureDefinition::get_one_pass_axes(n_jets, inputJets, seedAxes, nAttempts, accuracy);
+ }
+
+ // convert from PseudoJets to LightLikeAxes
+ std::vector< LightLikeAxis > old_axes(n_jets, LightLikeAxis(0,0,0,0));
+ for (int k = 0; k < n_jets; k++) {
+ old_axes[k].set_rap( seedAxes[k].rap() );
+ old_axes[k].set_phi( seedAxes[k].phi() );
+ old_axes[k].set_mom( seedAxes[k].modp() );
+ }
+
+ // Find new axes by iterating (only one pass here)
+ std::vector< LightLikeAxis > new_axes(n_jets, LightLikeAxis(0,0,0,0));
+ double cmp = std::numeric_limits<double>::max(); //large number
+ int h = 0;
+
+ while (cmp > accuracy && h < nAttempts) { // Keep updating axes until near-convergence or too many update steps
+ cmp = 0.0;
+ h++;
+ new_axes = UpdateAxes(old_axes, inputJets,accuracy); // Update axes
+ for (int k = 0; k < n_jets; k++) {
+ cmp += old_axes[k].Distance(new_axes[k]);
+ }
+ cmp = cmp / ((double) n_jets);
+ old_axes = new_axes;
+ }
+
+ // Convert from internal LightLikeAxes to PseudoJet
+ std::vector<fastjet::PseudoJet> outputAxes;
+ for (int k = 0; k < n_jets; k++) {
+ fastjet::PseudoJet temp = old_axes[k].ConvertToPseudoJet();
+ outputAxes.push_back(temp);
+ }
+
+ // this is used to debug the minimization routine to make sure that it works.
+ bool do_debug = false;
+ if (do_debug) {
+ // get this information to make sure that minimization is working properly
+ double seed_tau = result(inputJets, seedAxes);
+ double outputTau = result(inputJets, outputAxes);
+ assert(outputTau <= seed_tau);
+ }
+
+ return outputAxes;
+}
+
+//// One-pass minimization for the Deprecated Geometric Measure
+//// Uses minimization of the geometric distance in order to find the minimum axes.
+//// It continually updates until it reaches convergence or it reaches the maximum number of attempts.
+//// This is essentially the same as a stable cone finder.
+//std::vector<fastjet::PseudoJet> DeprecatedGeometricCutoffMeasure::get_one_pass_axes(int n_jets,
+// const std::vector <fastjet::PseudoJet> & particles,
+// const std::vector<fastjet::PseudoJet>& currentAxes,
+// int nAttempts,
+// double accuracy) const {
+//
+// assert(n_jets == (int)currentAxes.size()); //added int casting to get rid of compiler warning
+//
+// std::vector<fastjet::PseudoJet> seedAxes = currentAxes;
+// double seedTau = result(particles, seedAxes);
+//
+// for (int i = 0; i < nAttempts; i++) {
+//
+// std::vector<fastjet::PseudoJet> newAxes(seedAxes.size(),fastjet::PseudoJet(0,0,0,0));
+//
+// // find closest axis and assign to that
+// for (unsigned int i = 0; i < particles.size(); i++) {
+//
+// // start from unclustered beam measure
+// int minJ = -1;
+// double minDist = beam_distance_squared(particles[i]);
+//
+// // which axis am I closest to?
+// for (unsigned int j = 0; j < seedAxes.size(); j++) {
+// double tempDist = jet_distance_squared(particles[i],seedAxes[j]);
+// if (tempDist < minDist) {
+// minDist = tempDist;
+// minJ = j;
+// }
+// }
+//
+// // if not unclustered, then cluster
+// if (minJ != -1) newAxes[minJ] += particles[i];
+// }
+//
+// // calculate tau on new axes
+// seedAxes = newAxes;
+// double tempTau = result(particles, newAxes);
+//
+// // close enough to stop?
+// if (fabs(tempTau - seedTau) < accuracy) break;
+// seedTau = tempTau;
+// }
+//
+// return seedAxes;
+//}
+
+
+// Go from internal LightLikeAxis to PseudoJet
+fastjet::PseudoJet LightLikeAxis::ConvertToPseudoJet() {
+ double px, py, pz, E;
+ E = _mom;
+ pz = (std::exp(2.0*_rap) - 1.0) / (std::exp(2.0*_rap) + 1.0) * E;
+ px = std::cos(_phi) * std::sqrt( std::pow(E,2) - std::pow(pz,2) );
+ py = std::sin(_phi) * std::sqrt( std::pow(E,2) - std::pow(pz,2) );
+ return fastjet::PseudoJet(px,py,pz,E);
+}
+
+} //namespace Nsubjettiness
+
+}
diff --git a/src/Tools/Nsubjettiness/NEWS b/src/Tools/Nsubjettiness/NEWS
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/NEWS
@@ -0,0 +1,99 @@
+-------------------------
+Version 2
+-------------------------
+
+This is a streamlining of the N-subjettiness code, developed mainly by TJ
+Wilkason. The core functionality is unchanged, but classes have been
+dramatically reorganized to allow for later expansion. Because the API for
+Njettiness has changed, we have called this v2 (http://semver.org).
+
+Note that we have maintain backwards compatibility for the typical ways that
+Nsubjettiness was used. In particular, all of the Nsubjettiness class code in
+the example file from v1.0.3 still compiles, as does the NjettinessPlugin class
+code that uses the default measure.
+
+The key new features are:
+
+ * NsubjettinessRatio: Direct access to tau_N / tau_M (the most requested
+ feature)
+ * MeasureDefinition to allow access to normalized and unnormalized measures
+ * AxesDefinition to allow for access to more general axes modes
+ * Winner-Take-All recombination axes: a faster way to find axes than beta=1
+ minimization, but with comparable performance.
+ * TauComponents to get access to the pieces of the N-(sub)jettiness
+ calculation.
+ * TauExtras to get complete access to get partitioning and axes information.
+ * For clarity, split the example file into an example_basic_usage and
+ example_advanced_usage (and example_advanced_usage_ee for e+e- collisions).
+ * In Nsubjettiness, access to seedAxes() and currentAxes() to figure out the
+ axes used before and after minimization.
+ * In Nsubjettiness, access to currentSubjets() to get the subjet fourvectors.
+ * (v2.2) XConePlugin, which improves on the previous NjettinessPlugin to use
+ N-jettiness as a jet finder using the new ConicalGeometric measure.
+
+-- 2.2.4: (Jun 14, 2016) Fixed bug where multi-pass minimization could yield
+ pathological axes (thanks Gregory Soyez)
+-- 2.2.3: (Apr 4, 2016) Fixed bug where a jet with fewer than N constituents
+ could give random value for tau_N (thanks Nathan Hartland)
+-- 2.2.2: (Mar 29, 2016) Updating SharedPtr interface for FJ 3.2
+-- 2.2.1: (Sept 28, 2015) Fix of small Makefile bug
+-- 2.2.0: (Sept 7, 2015) Inclusion of the XCone jet algorithm, as well as a
+ few new measures, including the "conical geometric" measure and
+ options for e+e- colliders. Improvement of the
+ Measure/AxesDefinition interface to allow for direct
+ use in calculations.
+ * Fixed bug where MultiPass_Axes did not actually minimize
+ * Fixed floating point error with infinity^2 in various measures
+
+-- 2.1.0: (July 9, 2014) Inclusion of Measure/AxesDefinition interface.
+ This was the first publicly available version of Nsubjettiness v2.
+-- 2.0.0: Initial release of v2.0. This was never officially made public.
+
+-------------------------
+Version 1
+-------------------------
+
+This was a new release using FastJet contrib framework, primary developed by
+Jesse Thaler.
+
+-- 1.0.3: Added inlines to fix compile issue (thanks Matthew Low)
+-- 1.0.2: Fixed potential dependency issue (thanks FJ authors)
+-- 1.0.1: Fixed memory leak in Njettiness.hh (thanks FJ authors)
+-- 1.0.0: New release using FastJet contrib framework. This includes a new
+makefile and a simplified example program.
+
+-------------------------
+Previous Versions
+-------------------------
+
+The previous versions of this code were developed initially by Ken Van Tilburg,
+tweaked by Jesse Thaler, and made into a robust FastJet add on by Chris
+Vermilion.
+
+Previous versions available from:
+ http://jthaler.net/jets/Njettiness-0.5.1.tar.gz (Experimental Version)
+ http://jthaler.net/jets/Njettiness-0.4.1.tar.gz (Stable Version)
+
+Previous version history:
+-- 0.5.1: For Njettiness Plugin, added access to currentTau values and axes via
+ ClusterSequence::Extras class. (thanks to Dinko Ferencek and John
+ Paul Chou)
+-- 0.5.0: Corrected fatal error in ConstituentTauValue (TauValue unaffected).
+ Started process of allowing for more general measures and alternative
+ minimization schemes. Extremely preliminary inclusion of alternative
+ "geometric" measure.
+-- 0.4.1: Corrected bug where a too-small value of Rcut would cause the
+ minimization procedure to fail (thanks Marat Freytsis, Brian Shuve)
+-- 0.4.0: Adding Nsubjettiness FunctionOfPseudoJet<float>. Re-organizing file
+ structure and doing some re-naming to clarify Njettiness vs.
+ Nsubjettiness. Some speedup in UpdateAxes code. (CKV)
+-- 0.3.2: Returns zero instead of a segmentation fault when the number of
+ particles in a jet is smaller than the N value in tau_N (thanks
+ Grigory Ovanesyan)
+-- 0.3.2: Fixed -Wshadow errors (thanks Grigory Ovanesyan)
+-- 0.3.1: Fixed stray comma/semicolon compiler error (thanks Grigory Ovanesyan)
+-- 0.3.1: Corrected tarbomb issue (thanks Jonathan Walsh)
+-- 0.3.1: Added anti-kT seeds as option
+-- 0.3.1: Fixed bug in minimization code with R_cutoff (thanks Chris Vermilion)
+-- 0.3.1: Added getPartition() and getJets() functions as helper functions for
+ Chris Vermilion. (JT)
diff --git a/src/Tools/Nsubjettiness/Njettiness.cc b/src/Tools/Nsubjettiness/Njettiness.cc
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/Njettiness.cc
@@ -0,0 +1,223 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: Njettiness.cc 933 2016-04-04 22:23:32Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#include "Njettiness.hh"
+
+namespace Rivet {
+
+namespace Nsubjettiness { using namespace fastjet;
+
+
+///////
+//
+// Main Njettiness Class
+//
+///////
+
+LimitedWarning Njettiness::_old_measure_warning;
+LimitedWarning Njettiness::_old_axes_warning;
+
+
+// Constructor
+Njettiness::Njettiness(const AxesDefinition & axes_def, const MeasureDefinition & measure_def)
+: _axes_def(axes_def.create()), _measure_def(measure_def.create()) {}
+
+// setAxes for Manual mode
+void Njettiness::setAxes(const std::vector<fastjet::PseudoJet> & myAxes) {
+ if (_axes_def->needsManualAxes()) {
+ _currentAxes = myAxes;
+ } else {
+ throw Error("You can only use setAxes for manual AxesDefinitions");
+ }
+}
+
+// Calculates and returns all TauComponents that user would want.
+// This information is stored in _current_tau_components for later access as well.
+TauComponents Njettiness::getTauComponents(unsigned n_jets, const std::vector<fastjet::PseudoJet> & inputJets) const {
+ if (inputJets.size() <= n_jets) { //if not enough particles, return zero
+ _currentAxes = inputJets;
+ _currentAxes.resize(n_jets,fastjet::PseudoJet(0.0,0.0,0.0,0.0));
+
+ // Put in empty tau components
+ std::vector<double> dummy_jet_pieces;
+ _current_tau_components = TauComponents(UNDEFINED_SHAPE,
+ dummy_jet_pieces,
+ 0.0,
+ 1.0,
+ _currentAxes,
+ _currentAxes
+ );
+ _seedAxes = _currentAxes;
+ _currentPartition = TauPartition(n_jets); // empty partition
+ } else {
+ assert(_axes_def); // this should never fail.
+
+ if (_axes_def->needsManualAxes()) { // if manual mode
+ // take current axes as seeds
+ _seedAxes = _currentAxes;
+
+ // refine axes if requested
+ _currentAxes = _axes_def->get_refined_axes(n_jets,inputJets,_seedAxes, _measure_def.get());
+ } else { // non-manual axes
+
+ //set starting point for minimization
+ _seedAxes = _axes_def->get_starting_axes(n_jets,inputJets,_measure_def.get());
+
+ // refine axes as needed
+ _currentAxes = _axes_def->get_refined_axes(n_jets,inputJets,_seedAxes, _measure_def.get());
+
+ // NOTE: The above two function calls are combined in "AxesDefinition::get_axes"
+ // but are separated here to allow seed axes to be stored.
+ }
+
+ // Find and store partition
+ _currentPartition = _measure_def->get_partition(inputJets,_currentAxes);
+
+ // Find and store tau value
+ _current_tau_components = _measure_def->component_result_from_partition(_currentPartition, _currentAxes); // sets current Tau Values
+ }
+ return _current_tau_components;
+}
+
+
+///////
+//
+// Below is code for backward compatibility to use the old interface.
+// May be deleted in a future version
+//
+///////
+
+Njettiness::Njettiness(AxesMode axes_mode, const MeasureDefinition & measure_def)
+: _axes_def(createAxesDef(axes_mode)), _measure_def(measure_def.create()) {}
+
+// Convert from MeasureMode enum to MeasureDefinition
+// This returns a pointer that will be claimed by a SharedPtr
+MeasureDefinition* Njettiness::createMeasureDef(MeasureMode measure_mode, int num_para, double para1, double para2, double para3) const {
+
+ _old_measure_warning.warn("Njettiness::createMeasureDef: You are using the old MeasureMode way of specifying N-subjettiness measures. This is deprecated as of v2.1 and will be removed in v3.0. Please use MeasureDefinition instead.");
+
+ // definition of maximum Rcutoff for non-cutoff measures, changed later by other measures
+ double Rcutoff = std::numeric_limits<double>::max(); //large number
+ // Most (but not all) measures have some kind of beta value
+ double beta = std::numeric_limits<double>::quiet_NaN();
+ // The normalized measures have an R0 value.
+ double R0 = std::numeric_limits<double>::quiet_NaN();
+
+ // Find the MeasureFunction and set the parameters.
+ switch (measure_mode) {
+ case normalized_measure:
+ beta = para1;
+ R0 = para2;
+ if(num_para == 2) {
+ return new NormalizedMeasure(beta,R0);
+ } else {
+ throw Error("normalized_measure needs 2 parameters (beta and R0)");
+ }
+ break;
+ case unnormalized_measure:
+ beta = para1;
+ if(num_para == 1) {
+ return new UnnormalizedMeasure(beta);
+ } else {
+ throw Error("unnormalized_measure needs 1 parameter (beta)");
+ }
+ break;
+ case geometric_measure:
+ throw Error("This class has been removed. Please use OriginalGeometricMeasure, ModifiedGeometricMeasure, or ConicalGeometricMeasure with the new Njettiness constructor.");
+ break;
+ case normalized_cutoff_measure:
+ beta = para1;
+ R0 = para2;
+ Rcutoff = para3; //Rcutoff parameter is 3rd parameter in normalized_cutoff_measure
+ if (num_para == 3) {
+ return new NormalizedCutoffMeasure(beta,R0,Rcutoff);
+ } else {
+ throw Error("normalized_cutoff_measure has 3 parameters (beta, R0, Rcutoff)");
+ }
+ break;
+ case unnormalized_cutoff_measure:
+ beta = para1;
+ Rcutoff = para2; //Rcutoff parameter is 2nd parameter in normalized_cutoff_measure
+ if (num_para == 2) {
+ return new UnnormalizedCutoffMeasure(beta,Rcutoff);
+ } else {
+ throw Error("unnormalized_cutoff_measure has 2 parameters (beta, Rcutoff)");
+ }
+ break;
+ case geometric_cutoff_measure:
+ throw Error("This class has been removed. Please use OriginalGeometricMeasure, ModifiedGeometricMeasure, or ConicalGeometricMeasure with the new Njettiness constructor.");
+ default:
+ assert(false);
+ break;
+ }
+ return NULL;
+}
+
+// Convert from AxesMode enum to AxesDefinition
+// This returns a pointer that will be claimed by a SharedPtr
+AxesDefinition* Njettiness::createAxesDef(Njettiness::AxesMode axes_mode) const {
+
+ _old_axes_warning.warn("Njettiness::createAxesDef: You are using the old AxesMode way of specifying N-subjettiness axes. This is deprecated as of v2.1 and will be removed in v3.0. Please use AxesDefinition instead.");
+
+
+ switch (axes_mode) {
+ case wta_kt_axes:
+ return new WTA_KT_Axes();
+ case wta_ca_axes:
+ return new WTA_CA_Axes();
+ case kt_axes:
+ return new KT_Axes();
+ case ca_axes:
+ return new CA_Axes();
+ case antikt_0p2_axes:
+ return new AntiKT_Axes(0.2);
+ case onepass_wta_kt_axes:
+ return new OnePass_WTA_KT_Axes();
+ case onepass_wta_ca_axes:
+ return new OnePass_WTA_CA_Axes();
+ case onepass_kt_axes:
+ return new OnePass_KT_Axes();
+ case onepass_ca_axes:
+ return new OnePass_CA_Axes();
+ case onepass_antikt_0p2_axes:
+ return new OnePass_AntiKT_Axes(0.2);
+ case onepass_manual_axes:
+ return new OnePass_Manual_Axes();
+ case min_axes:
+ return new MultiPass_Axes(100);
+ case manual_axes:
+ return new Manual_Axes();
+ default:
+ assert(false);
+ return NULL;
+ }
+}
+
+
+
+
+
+} // namespace Nsubjettiness
+
+}
diff --git a/src/Tools/Nsubjettiness/NjettinessPlugin.cc b/src/Tools/Nsubjettiness/NjettinessPlugin.cc
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/NjettinessPlugin.cc
@@ -0,0 +1,96 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: NjettinessPlugin.cc 821 2015-06-15 18:50:53Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#include "NjettinessPlugin.hh"
+
+namespace Rivet {
+
+namespace Nsubjettiness{
+
+LimitedWarning NjettinessPlugin::_old_constructor_warning;
+
+std::string NjettinessPlugin::description() const {return "N-jettiness jet finder";}
+
+
+// Clusters the particles according to the Njettiness jet algorithm
+// Apologies for the complication with this code, but we need to make
+// a fake jet clustering tree. The partitioning is done by getPartitionList
+void NjettinessPlugin::run_clustering(ClusterSequence& cs) const
+{
+ std::vector<fastjet::PseudoJet> particles = cs.jets();
+
+ // HACK: remove area information from particles (in case this is called by
+ // a ClusterSequenceArea. Will be fixed in a future FastJet release)
+ for (unsigned i = 0; i < particles.size(); i++) {
+ particles[i].set_structure_shared_ptr(SharedPtr<PseudoJetStructureBase>());
+ }
+
+
+ TauComponents tau_components = _njettinessFinder.getTauComponents(_N, particles);
+ TauPartition tau_partition = _njettinessFinder.currentPartition();
+ std::vector<std::list<int> > partition = tau_partition.jets_list();
+
+ std::vector<int> jet_indices_for_extras;
+
+ // output clusterings for each jet
+ for (size_t i0 = 0; i0 < partition.size(); ++i0) {
+ size_t i = partition.size() - 1 - i0; // reversed order of reading to match axes order
+ std::list<int>& indices = partition[i];
+ if (indices.size() == 0) continue;
+ while (indices.size() > 1) {
+ int merge_i = indices.back(); indices.pop_back();
+ int merge_j = indices.back(); indices.pop_back();
+ int newIndex;
+ double fakeDij = -1.0;
+
+ cs.plugin_record_ij_recombination(merge_i, merge_j, fakeDij, newIndex);
+
+ indices.push_back(newIndex);
+ }
+ double fakeDib = -1.0;
+
+ int finalJet = indices.back();
+ cs.plugin_record_iB_recombination(finalJet, fakeDib);
+ jet_indices_for_extras.push_back(cs.jets()[finalJet].cluster_hist_index()); // Get the four vector for the final jets to compare later.
+ }
+
+ //HACK: Re-reverse order of reading to match CS order
+ reverse(jet_indices_for_extras.begin(),jet_indices_for_extras.end());
+
+ // Store extra information about jets
+ NjettinessExtras * extras = new NjettinessExtras(tau_components,jet_indices_for_extras);
+
+#if FASTJET_VERSION_NUMBER>=30100
+ cs.plugin_associate_extras(extras);
+#else
+ // auto_ptr no longer supported, apparently
+ cs.plugin_associate_extras(std::auto_ptr<ClusterSequence::Extras>(extras));
+#endif
+
+}
+
+
+} // namespace Nsubjettiness
+
+}
diff --git a/src/Tools/Nsubjettiness/Nsubjettiness.cc b/src/Tools/Nsubjettiness/Nsubjettiness.cc
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/Nsubjettiness.cc
@@ -0,0 +1,54 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: Nsubjettiness.cc 821 2015-06-15 18:50:53Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#include "Nsubjettiness.hh"
+
+namespace Rivet {
+
+namespace Nsubjettiness { using namespace fastjet;
+
+LimitedWarning Nsubjettiness::_old_constructor_warning;
+
+
+//result returns tau_N with normalization dependent on what is specified in constructor
+double Nsubjettiness::result(const PseudoJet& jet) const {
+ std::vector<fastjet::PseudoJet> particles = jet.constituents();
+ return _njettinessFinder.getTau(_N, particles);
+}
+
+TauComponents Nsubjettiness::component_result(const PseudoJet& jet) const {
+ std::vector<fastjet::PseudoJet> particles = jet.constituents();
+ return _njettinessFinder.getTauComponents(_N, particles);
+}
+
+//ratio result uses Nsubjettiness result to find the ratio tau_N/tau_M, where N and M are specified by user
+double NsubjettinessRatio::result(const PseudoJet& jet) const {
+ double numerator = _nsub_numerator.result(jet);
+ double denominator = _nsub_denominator.result(jet);
+ return numerator/denominator;
+}
+
+} // namespace Nsubjettiness
+
+}
diff --git a/src/Tools/Nsubjettiness/README b/src/Tools/Nsubjettiness/README
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/README
@@ -0,0 +1,394 @@
+--------------------------------------------------------------------------------
+Nsubjettiness Package
+--------------------------------------------------------------------------------
+
+The Nsubjettiness package is based on the physics described in:
+
+ Identifying Boosted Objects with N-subjettiness.
+ Jesse Thaler and Ken Van Tilburg.
+ JHEP 1103:015 (2011), arXiv:1011.2268.
+
+ Maximizing Boosted Top Identification by Minimizing N-subjettiness.
+ Jesse Thaler and Ken Van Tilburg.
+ JHEP 1202:093 (2012), arXiv:1108.2701.
+
+New in v2.0 is the winner-take-all axis, which is described in:
+
+ Jet Observables Without Jet Algorithms.
+ Daniele Bertolini, Tucker Chan, and Jesse Thaler.
+ JHEP 1404:013 (2014), arXiv:1310.7584.
+
+ Jet Shapes with the Broadening Axis.
+ Andrew J. Larkoski, Duff Neill, and Jesse Thaler.
+ JHEP 1404:017 (2014), arXiv:1401.2158.
+
+ Unpublished work by Gavin Salam
+
+New in v2.2 are new measures used in the XCone jet algorithm, described in:
+
+ XCone: N-jettiness as an Exclusive Cone Jet Algorithm.
+ Iain W. Stewart, Frank J. Tackmann, Jesse Thaler,
+ Christopher K. Vermilion, and Thomas F. Wilkason.
+ arXiv:1508.01516.
+
+ Resolving Boosted Jets with XCone.
+ Jesse Thaler and Thomas F. Wilkason.
+ arXiv:1508.01518.
+
+--------------------------------------------------------------------------------
+Core Classes
+--------------------------------------------------------------------------------
+
+There are various ways to access N-(sub)jettiness variables, described
+in more detail below:
+
+Nsubjettiness [Nsubjettiness.hh]:
+ A FunctionOfPseudoJet<double> interface to measure the
+ N-subjettiness jet shape
+ (Recommended for most users)
+
+NsubjettinessRatio [Nsubjettiness.hh]:
+ A FunctionOfPseudoJet<double> interface to measure ratios of
+ two different N-subjettiness (i.e. tau3/tau2)
+ (Recommended for most users)
+
+XConePlugin [XConePlugin.hh]:
+ A FastJet plugin for using the XCone jet algorithm.
+ (Recommended for most users)
+
+NjettinessPlugin [NjettinessPlugin.hh]:
+ A FastJet plugin for finding jets by minimizing N-jettiness.
+ Same basic philosophy as XCone, but many more options.
+ (Recommended for advanced users only.)
+
+Njettiness [Njettiness.hh]:
+ Access to the core Njettiness code.
+ (Not recommended for users, since the interface might change)
+
+The code assumes that you have FastJet 3, but does not (yet) require FastJet 3.1
+
+--------------------------------------------------------------------------------
+Basic Usage: Nsubjettiness and NsubjettinessRatio [Nsubjettiness.hh]
+--------------------------------------------------------------------------------
+
+Most users will only need to use the Nsubjettiness class. The basic
+functionality is given by:
+
+ Nsubjettiness nSub(N, AxesDefinition, MeasureDefinition)
+ // N specifies the number of (sub) jets to measure
+ // AxesDefinition is WTA_KT_Axes, OnePass_KT_Axes, etc.
+ // MeasureDefinition is UnnormalizedMeasure(beta),
+ // NormalizedMeasure(beta,R0), etc.
+
+ // get tau value
+ double tauN = nSub.result(PseudoJet);
+
+Also available are ratios of N-subjettiness values
+ NsubjettinessRatio nSubRatio(N, M, AxesDefinition,
+ MeasureDefinition)
+ // N and M give tau_N / tau_M, all other options the same
+
+For example, if you just want the tau_2/tau_1 value of a jet, using recommended
+parameter choices, do this:
+
+ PseudoJet this_jet = /*from your favorite jet algorithm*/;
+ double beta = 1.0;
+ NsubjettinessRatio nSub21(2,1,
+ OnePass_WTA_KT_Axes(),
+ UnnormalizedMeasure(beta));
+ double tau21 = nSub21(this_jet);
+
+--------------------------------------------------------------------------------
+AxesDefinition [NjettinessDefinition.hh]
+--------------------------------------------------------------------------------
+
+N-(sub)jettiness requires choosing axes as well as a measure (see below). There
+are a number of axes choices available to the user, though modes with a (*) are
+recommended. Arguments in parentheses are parameters that the user must set.
+
+Axes can be found using standard recursive clustering procedures. New in v2 is
+the option to use the "winner-take-all" recombination scheme:
+(*) KT_Axes // exclusive kt axes
+ CA_Axes // exclusive ca axes
+ AntiKT_Axes(R0) // inclusive hardest axes with antikt, R0 = radius
+(*) WTA_KT_Axes // exclusive kt with winner-take-all recombination
+ WTA_CA_Axes // exclusive ca with winner-take-all recombination
+
+New in v2.2 are generalized recombination/clustering schemes:
+ GenET_GenKT_Axes(delta, p, R0 = inf)
+ WTA_GenKT_Axes(p, R0 = inf)
+ GenKT_Axes(p, R0 = inf)
+Here, delta > 0 labels the generalized ET recombination scheme (delta = 1 for
+standard ET scheme, delta = 2 for ET^2 scheme, delta = infinity for WTA scheme)
+p >= 0 labels the generalized KT clustering metric (p = 0 for ca, p = 1 for kt),
+R0 is the radius parameter, and the clustering is run in exclusive mode. The
+GenKT_Axes mode uses standard E-scheme recombination. By default the value of
+R0 is set to "infinity", namely fastjet::JetDefinition::max_allowable_R.
+
+Also new in v2.2 is option of identifying nExtra axes through exclusive
+clustering and then looking at all (N + nExtra) choose N axes and finding the
+one that gives the smallest N-(sub)jettiness value:
+ Comb_GenET_GenKT_Axes(nExtra, delta, p, R0 = inf)
+ Comb_WTA_GenKT_Axes(nExtra, p, R0 = inf)
+ Comb_GenKT_Axes(nExtra, p, R0 = inf)
+These modes are not recommended for reasons of speed.
+
+Starting from any set of seed axes, one can run a minimization routine to find
+a (local) minimum of N-(sub)jettiness. Note that the one-pass minimization
+routine is tied to the choice of MeasureDefinition.
+(*) OnePass_KT_Axes // one-pass minimization from kt starting point
+ OnePass_CA_Axes // one-pass min. from ca starting point
+ OnePass_AntiKT(R0) // one-pass min. from antikt starting point,R0=rad
+(*) OnePass_WTA_KT_Axes // one-pass min. from wta_kt starting point
+ OnePass_WTA_CA_Axes // one-pass min. from wta_ca starting point
+ OnePass_GenET_GenKT_Axes(delta, p, R0 = inf) // one-pass min. from GenET/KT
+ OnePass_WTA_GenKT_Axes(p, R0 = inf) // one-pass min from WTA/GenKT
+ OnePass_GenKT_Axes(p, R0 = inf) // one-pass min from GenKT
+
+For one-pass minimization, OnePass_CA_Axes and OnePass_WTA_CA_Axes are not
+recommended as they provide a poor choice of seed axes.
+
+In general, it is difficult to find the global minimum, but this mode attempts
+to do so:
+ MultiPass_Axes(NPass) // axes that (attempt to) minimize N-subjettiness
+ // (NPass = 100 is typical)
+This does multi-pass minimization from KT_Axes starting points.
+
+Finally, one can set manual axes:
+ Manual_Axes // set your own axes with setAxes()
+ OnePass_Manual_Axes // one-pass minimization from manual starting point
+ MultiPass_Manual_Axes(Npass) // multi-pass min. from manual
+
+If one wants to change the number of passes used by any of the axes finders, one
+can call the function
+ setNPass(NPass,nAttempts,accuracy,noise_range)
+where NPass = 0 only uses the seed axes, NPass = 1 is one-pass minimization, and
+NPass = 100 is the default multi-pass. nAttempts is the number of iterations to
+use in each pass, accuracy is how close to the minimum one tries to get, and
+noise_range is how much in rapidity/azimuth the random axes are jiggled.
+
+For most cases, running with OnePass_KT_Axes or OnePass_WTA_KT_Axes gives
+reasonable results (and the results are IRC safe). Because it uses random
+number seeds, MultiPass_Axes is not IRC safe (and the code is rather slow).
+Note that for the minimization routines, beta = 1.1 is faster than beta = 1,
+with comparable performance.
+
+--------------------------------------------------------------------------------
+MeasureDefinition [NjettinessDefinition.hh]
+--------------------------------------------------------------------------------
+
+The value of N-(sub)jettiness depends crucially on the choice of measure. Each
+measure has a different number of parameters, so one has to be careful when
+switching between measures The one indicated by (*) is the one recommended for
+use by users new to Nsubjettiness.
+
+The original N-subjettiness measures are:
+ NormalizedMeasure(beta,R0) //default normalized measure with
+ //parameters beta and R0 (dimensionless)
+(*) UnnormalizedMeasure(beta) //default unnormalized measure with just
+ //parameter beta (dimensionful)
+
+There are also measures that incorporate a radial cutoff:
+ NormalizedCutoffMeasure(beta,R0,Rcutoff) //normalized measure with
+ //additional Rcutoff
+ UnnormalizedCutoffMeasure(beta,Rcutoff) //unnormalized measure with
+ //additional Rcutoff
+
+For all of the above measures, there is an optional argument to change from the
+ordinary pt_R distance measure recommended for pp collisions to an
+E_theta distance measure recommended for ee collisions. There are also
+lorentz_dot and perp_lorentz_dot distance measures recommended only for
+advanced users.
+
+New for v2.2 is a set of measures defined in arXiv:1508.01516. First, there is
+the "conical measure":
+
+ ConicalMeasure(beta,R0) // same jets as UnnormalizedCutoffMeasure
+ // but differs in normalization and specifics
+ // of one-pass minimization
+
+Next, there is the geometric measure (as well as a modified version to yield
+more conical jet regions):
+
+ OriginalGeometricMeasure(R) // not recommended for analysis
+ ModifiedGeometricMeasure(R)
+
+(Prior to v2.2, there was a "GeometricMeasure" which unfortunately had the wrong
+definition. These have been commented out in the code as
+"DeprecatedGeometricMeasure" and "DeprecatedGeometricCutoffMeasure", but they
+should not be used.)
+
+Next, there is a "conical geometric" measure:
+
+ ConicalGeometricMeasure(beta, gamma, Rcutoff)
+
+This is a hybrid between the conical and geometric measures and is the basis for
+the XCone jet algorithm. Finally, setting to the gamma = 1 default gives the
+XCone default measure, which is used in the XConePlugin jet finder
+
+(*) XConeMeasure(beta,Rcutoff)
+
+where beta = 2 is the recommended default value and beta = 1 is the recoil-free
+default.
+
+--------------------------------------------------------------------------------
+A note on beta dependence
+--------------------------------------------------------------------------------
+
+The angular exponent in N-subjettiness is called beta. The original
+N-subjettiness paper advocated beta = 1, but it is now understood that different
+beta values can be useful in different contexts. The two main choices are:
+
+beta = 1: aka broadening/girth/width measure
+ the axes behave like the "median" in that they point to the hardest cluster
+ wta_kt_axes are approximately the same as minimizing beta = 1 measure
+
+beta = 2: aka thrust/mass measure
+ the axes behave like the "mean" in that they point along the jet momentum
+ kt_axes are approximately the same as minimizing beta = 2 measure
+
+N.B. The minimization routines are only valid for 1 < beta < 3.
+
+For quark/gluon discrimination with N = 1, beta~0.2 with wta_kt_axes appears
+to be a good choice.
+
+--------------------------------------------------------------------------------
+XConePlugin [XConePlugin.hh]
+--------------------------------------------------------------------------------
+
+The XCone FastJet plugin is an exclusive cone jet finder which yields a
+fixed N number of jets which approximately conical boundaries. The algorithm
+finds N axes, and jets are simply the sum of particles closest to a given axis
+(or unclustered if they are closest to the beam). Unlike the NjettinessPlugin
+below, the user is restricted to using the XConeMeasure.
+
+ XConePlugin plugin(N,R,beta=2);
+ JetDefinition def(&plugin);
+ ClusterSequence cs(vector<PseudoJet>,def);
+ vector<PseudoJet> jets = cs.inclusive_jets();
+
+Note that despite being an exclusive jet algorithm, one finds the jets using the
+inclusive_jets() call.
+
+The AxesDefinition and MeasureDefinition are defaulted in this measure to
+OnePass_GenET_GenKT_Axes and XConeMeasure, respectively. The parameters chosen
+for the OnePass_GenET_GenKT_Axes are defined according to the chosen value of
+beta as delta = 1/(beta - 1) and p = 1/beta. These have been shown to give the
+optimal choice of seed axes. The R value for finding the axes is chosen to be
+the same as the R for the jet algorithm, although in principle, these two radii
+could be different.
+
+N.B.: The order of the R, beta arguments is *reversed* from the XConeMeasure
+itself, since this ordering is the more natural one to use for Plugins. We
+apologize in advance for any confusion this might cause.
+
+--------------------------------------------------------------------------------
+Advanced Usage: NjettinessPlugin [NjettinessPlugin.hh]
+--------------------------------------------------------------------------------
+
+Same as the XConePlugin, but the axes finding methods and measures are the same
+as for Nsubjettiness, allowing more flexibility.
+
+ NjettinessPlugin plugin(N, AxesDefinition, MeasureDefinition);
+ JetDefinition def(&plugin);
+ ClusterSequence cs(vector<PseudoJet>,def);
+ vector<PseudoJet> jets = cs.inclusive_jets();
+
+--------------------------------------------------------------------------------
+Very Advanced Usage: Njettiness [Njettiness.hh]
+--------------------------------------------------------------------------------
+
+Most users will want to use the Nsubjettiness or NjettinessPlugin classes to
+access N-(sub)jettiness information. For direct access to the Njettiness class,
+one can use Njettiness.hh directly. This class is in constant evolution, so
+users who wish to extend its functionality should contact the authors first.
+
+--------------------------------------------------------------------------------
+TauComponents [MeasureDefinition.hh]
+--------------------------------------------------------------------------------
+
+For most users, they will only need the value of N-subjettiness (i.e. tau)
+itself. For advanced users, they can access individual tau components (i.e.
+the individual numerator pieces, the denominator, etc.)
+
+ TauComponents tauComp = nSub.component_result(jet);
+ vector<double> numer = tauComp.jet_pieces_numerator(); //tau for each subjet
+ double denom = tauComp.denominator(); //normalization factor
+
+--------------------------------------------------------------------------------
+Extra Recombiners [ExtraRecombiners.hh]
+--------------------------------------------------------------------------------
+
+New in v2.0 are winner-take-all axes. (These have now been included in
+FastJet 3.1, but we have left the code here to allow the plugin to work under
+FJ 3.0). These axes are found with the help of the WinnerTakeAllRecombiner.
+This class defines a new recombination scheme for clustering particles. This
+scheme recombines two PseudoJets into a PseudoJet with pT of the sum of the two
+input PseudoJet pTs and direction of the harder PseudoJet. This is a
+"recoil-free" recombination scheme that guarantees that the axes is aligned with
+one of the input particles. It is IRC safe. Axes found with the standard
+E-scheme recombiner at similar to the beta = 2 minimization, while
+winner-take-all is similar to the beta = 1 measure.
+
+New in v2.2 is the GeneralEtSchemeRecombiner, as defined in arxiv:1506.XXXX.
+This functions similarly to the Et-scheme defined in Fastjet, but the reweighting
+of the sum of rap and phi is parameterized by an exponent delta. Thus, delta = 1
+is the normal Et-scheme recombination, delta = 2 is Et^2 recombination, and
+delta = infinity is the winner-take-all recombination. This recombination scheme
+is used in GenET_GenKT_Axes, and we find that optimal seed axes for minimization
+can be found by using delta = 1/(beta - 1).
+
+Note that the WinnerTakeAllRecombiner can be used outside of Nsubjettiness
+itself for jet finding. For example, the direction of anti-kT jets found
+with the WinnerTakeAllRecombiner is particularly robust against soft jet
+contamination. That said, this functionality is now included in FJ 3.1, so this
+code is likely to be deprecated in a future version.
+
+--------------------------------------------------------------------------------
+Technical Details
+--------------------------------------------------------------------------------
+
+In general, the user will never need access to these header files. Here is a
+brief description about how they are used to help the calculation of
+N-(sub)jettiness:
+
+AxesDefinition.hh:
+
+The AxesDefinition class (and derived classes) defines the axes used in the
+calculation of N-(sub)jettiness. These axes can be defined from the exclusive
+jets from a kT or CA algorithm, the hardest jets from an anti-kT algorithm,
+manually, or from minimization of N-jettiness. In the future, the user will be
+able to write their own axes finder, though currently the interface is still
+evolving. At the moment, the user should stick to the options allowed by
+AxesDefinition.
+
+MeasureDefinition.hh:
+
+The MeasureDefinition class (and derived classes) defines the measure by which
+N-(sub)jettiness is calculated. This measure is calculated between each
+particle and its corresponding axis, and then summed and normalized to
+produce N-(sub)jettiness. The default measure for this calculation is
+pT*dR^beta, where dR is the rapidity-azimuth distance between the particle
+and its axis, and beta is the angular exponent. Again, in the future the user
+will be able to write their own measures, but for the time being, only the
+predefined MeasureDefinition values should be used. Note that the one-pass
+minimization algorithms are defined within MeasureDefinition, since they are
+measure specific.
+
+--------------------------------------------------------------------------------
+Known Issues
+--------------------------------------------------------------------------------
+
+-- The MultiPass_Axes mode gives different answers on different runs, since
+ random numbers are used.
+-- For the default measures, in rare cases, one pass minimization can give a
+ larger value of Njettiness than without minimization. The reason is due
+ to the fact that axes in default measure are not defined as light-like
+-- Nsubjettiness is not thread safe, since there are mutables in Njettiness.
+-- If the AxesDefinition does not find N axes, then it adds zero vectors to the
+ list of axes to get the total up to N. This can lead to unpredictable
+ results (including divide by zero issues), and a warning is thrown to alert
+ the user.
+
+--------------------------------------------------------------------------------
+--------------------------------------------------------------------------------
\ No newline at end of file
diff --git a/src/Tools/Nsubjettiness/TauComponents.cc b/src/Tools/Nsubjettiness/TauComponents.cc
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/TauComponents.cc
@@ -0,0 +1,89 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: NjettinessDefinition.cc 704 2014-07-07 14:30:43Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#include "TauComponents.hh"
+#include "MeasureDefinition.hh"
+
+namespace Rivet {
+
+namespace Nsubjettiness { using namespace fastjet;
+
+// This constructor takes input vector and double and calculates all necessary tau components
+TauComponents::TauComponents(TauMode tau_mode,
+ const std::vector<double> & jet_pieces_numerator,
+ double beam_piece_numerator,
+ double denominator,
+ const std::vector<PseudoJet> & jets,
+ const std::vector<PseudoJet> & axes
+ )
+: _tau_mode(tau_mode),
+_jet_pieces_numerator(jet_pieces_numerator),
+_beam_piece_numerator(beam_piece_numerator),
+_denominator(denominator),
+_jets(jets),
+_axes(axes)
+{
+
+ if (!has_denominator()) assert(_denominator == 1.0); //make sure no effect from _denominator if _has_denominator is false
+ if (!has_beam()) assert (_beam_piece_numerator == 0.0); //make sure no effect from _beam_piece_numerator if _has_beam is false
+
+ // Put the pieces together
+ _numerator = _beam_piece_numerator;
+ _jet_pieces.resize(_jet_pieces_numerator.size(),0.0);
+ for (unsigned j = 0; j < _jet_pieces_numerator.size(); j++) {
+ _jet_pieces[j] = _jet_pieces_numerator[j]/_denominator;
+ _numerator += _jet_pieces_numerator[j];
+
+ // Add structural information to jets
+ StructureType * structure = new StructureType(_jets[j]);
+ structure->_tau_piece = _jet_pieces[j];
+ _jets[j].set_structure_shared_ptr(SharedPtr<PseudoJetStructureBase>(structure));
+ }
+
+ _beam_piece = _beam_piece_numerator/_denominator;
+ _tau = _numerator/_denominator;
+
+ // Add total_jet with structural information
+ _total_jet = join(_jets);
+ StructureType * total_structure = new StructureType(_total_jet);
+ total_structure->_tau_piece = _tau;
+ _total_jet.set_structure_shared_ptr(SharedPtr<PseudoJetStructureBase>(total_structure));
+}
+
+
+
+// test for denominator/beams
+bool TauComponents::has_denominator() const {
+ return (_tau_mode == NORMALIZED_JET_SHAPE
+ || _tau_mode == NORMALIZED_EVENT_SHAPE);
+}
+
+bool TauComponents::has_beam() const {
+ return (_tau_mode == UNNORMALIZED_EVENT_SHAPE
+ || _tau_mode == NORMALIZED_EVENT_SHAPE);
+}
+
+} // namespace Nsubjettiness
+
+}
diff --git a/src/Tools/Nsubjettiness/VERSION b/src/Tools/Nsubjettiness/VERSION
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/VERSION
@@ -0,0 +1,1 @@
+2.2.4
\ No newline at end of file
diff --git a/src/Tools/Nsubjettiness/XConePlugin.cc b/src/Tools/Nsubjettiness/XConePlugin.cc
new file mode 100644
--- /dev/null
+++ b/src/Tools/Nsubjettiness/XConePlugin.cc
@@ -0,0 +1,46 @@
+// Nsubjettiness Package
+// Questions/Comments? jthaler@jthaler.net
+//
+// Copyright (c) 2011-14
+// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
+//
+// $Id: XConePlugin.cc 745 2014-08-26 23:51:48Z jthaler $
+//----------------------------------------------------------------------
+// This file is part of FastJet contrib.
+//
+// It is free software; you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the
+// Free Software Foundation; either version 2 of the License, or (at
+// your option) any later version.
+//
+// It is distributed in the hope that it will be useful, but WITHOUT
+// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+// License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this code. If not, see <http://www.gnu.org/licenses/>.
+//----------------------------------------------------------------------
+
+#include "XConePlugin.hh"
+
+namespace Rivet {
+
+namespace Nsubjettiness{
+
+std::string XConePlugin::description() const {
+ std::stringstream stream;
+ stream << "XCone Jet Algorithm with N = " << _N << std::fixed << std::setprecision(2) << ", Rcut = " << _R0 << ", beta = " << _beta;
+ return stream.str();
+}
+
+std::string PseudoXConePlugin::description() const {
+ std::stringstream stream;
+ stream
+ << "PseudoXCone Jet Algorithm with N = " << _N << std::fixed << std::setprecision(2) << ", Rcut = " << _R0 << ", beta = " << _beta;
+ return stream.str();
+}
+
+} // namespace Nsubjettiness
+
+}
diff --git a/src/Tools/RivetMT2.cc b/src/Tools/RivetMT2.cc
--- a/src/Tools/RivetMT2.cc
+++ b/src/Tools/RivetMT2.cc
@@ -1,35 +1,17 @@
#include "Rivet/Tools/RivetMT2.hh"
#include "Rivet/Math/Vector4.hh"
#include "lester_mt2_bisect.hh"
-//#include "mt2_bisect.hh"
namespace Rivet {
- // namespace mT2 {
-
-
- // double mT2(const FourMomentum & a, const FourMomentum & b,
- // const FourMomentum & pTmiss, double invisiblesMass) {
- // mt2_bisect::mt2 mt2_event;
- // double unused = -999.999;
- // double pa[3] = { 0.0, a.x(), a.y() };
- // double pb[3] = { 0.0, b.x(), b.y() };
- // double pmiss[3] = { unused, pTmiss.x(), pTmiss.y() };
- // mt2_event.set_momenta( pa, pb, pmiss );
- // mt2_event.set_mn( invisiblesMass );
- // return mt2_event.get_mt2();
- // }
double mT2Sq(const FourMomentum& a, const FourMomentum& b, const Vector3& ptmiss,
double invisiblesMass, double invisiblesMass2) {
- //asymm_mt2_lester_bisect::disableCopyrightMessage();
return asymm_mt2_lester_bisect::get_mT2_Sq(a.mass(), a.px(), a.py(),
b.mass(), b.px(), b.py(),
ptmiss.x(), ptmiss.y(),
invisiblesMass,
(invisiblesMass2 < 0 ? invisiblesMass : invisiblesMass2),
0.0, true);
}
-
-
- // }
+
}
diff --git a/src/Tools/mt2_bisect.cc b/src/Tools/mt2_bisect.cc
deleted file mode 100644
--- a/src/Tools/mt2_bisect.cc
+++ /dev/null
@@ -1,660 +0,0 @@
-/***********************************************************************/
-/* */
-/* Finding mt2 by Bisection */
-/* */
-/* Authors: Hsin-Chia Cheng, Zhenyu Han */
-/* Dec 11, 2008, v1.01a */
-/* */
-/* see arXiv:0810.5178 */
-/* */
-/* Wrapped for Rivet by D. Grellscheid */
-/* Apr 13, 2011 */
-/* */
-/***********************************************************************/
-
-
-/*******************************************************************************
- Usage:
-
- 1. Define an object of type "mt2":
-
- mt2_bisect::mt2 mt2_event;
-
- 2. Set momenta and the mass of the invisible particle, mn:
-
- mt2_event.set_momenta( pa, pb, pmiss );
- mt2_event.set_mass( mn );
-
- where array pa[0..2], pb[0..2], pmiss[0..2] contains (mass,px,py)
- for the visible particles and the missing momentum. pmiss[0] is not used.
- All quantities are given in double.
-
- 3. Use mt2::get_mt2() to obtain the value of mt2:
-
- double mt2_value = mt2_event.get_mt2();
-
-*******************************************************************************/
-#include "mt2_bisect.hh"
-#include "Rivet/Tools/Logging.hh"
-#include <cmath>
-#include <cassert>
-
-namespace Rivet {
-
-namespace mt2_bisect
-{
-using namespace std;
-
-mt2::mt2()
-{
- solved = false;
- momenta_set = false;
- mt2_b = 0.;
- scale = 1.;
-}
-
-double mt2::get_mt2()
-{
- assert(momenta_set);
- if (!solved) mt2_bisect();
- return mt2_b*scale;
-}
-
-void mt2::set_momenta(double* pa0, double* pb0, double* pmiss0)
-{
- solved = false; //reset solved tag when momenta are changed.
- momenta_set = true;
-
- ma = fabs(pa0[0]); // mass cannot be negative
-
- if (ma < ZERO_MASS) ma = ZERO_MASS;
-
- pax = pa0[1];
- pay = pa0[2];
- masq = ma*ma;
- Easq = masq+pax*pax+pay*pay;
- Ea = sqrt(Easq);
-
- mb = fabs(pb0[0]);
-
- if (mb < ZERO_MASS) mb = ZERO_MASS;
-
- pbx = pb0[1];
- pby = pb0[2];
- mbsq = mb*mb;
- Ebsq = mbsq+pbx*pbx+pby*pby;
- Eb = sqrt(Ebsq);
-
- pmissx = pmiss0[1]; pmissy = pmiss0[2];
- pmissxsq = pmissx*pmissx;
- pmissysq = pmissy*pmissy;
-
-// set ma>= mb
- if(masq < mbsq)
- {
- double temp;
- temp = pax; pax = pbx; pbx = temp;
- temp = pay; pay = pby; pby = temp;
- temp = Ea; Ea = Eb; Eb = temp;
- temp = Easq; Easq = Ebsq; Ebsq = temp;
- temp = masq; masq = mbsq; mbsq = temp;
- temp = ma; ma = mb; mb = temp;
- }
-//normalize max{Ea, Eb} to 100
- if (Ea > Eb) scale = Ea/100.;
- else scale = Eb/100.;
-
- if (sqrt(pmissxsq+pmissysq)/100 > scale) scale = sqrt(pmissxsq+pmissysq)/100;
- //scale = 1;
- double scalesq = scale * scale;
- ma = ma/scale;
- mb = mb/scale;
- masq = masq/scalesq;
- mbsq = mbsq/scalesq;
- pax = pax/scale; pay = pay/scale;
- pbx = pbx/scale; pby = pby/scale;
- Ea = Ea/scale; Eb = Eb/scale;
-
- Easq = Easq/scalesq;
- Ebsq = Ebsq/scalesq;
- pmissx = pmissx/scale;
- pmissy = pmissy/scale;
- pmissxsq = pmissxsq/scalesq;
- pmissysq = pmissysq/scalesq;
- mn = mn_unscale/scale;
- mnsq = mn*mn;
-
- if (ABSOLUTE_PRECISION > 100.*RELATIVE_PRECISION) precision = ABSOLUTE_PRECISION;
- else precision = 100.*RELATIVE_PRECISION;
-}
-
-void mt2::set_mn(double mn0)
-{
- solved = false; //reset solved tag when mn is changed.
- mn_unscale = fabs(mn0); //mass cannot be negative
- mn = mn_unscale/scale;
- mnsq = mn*mn;
-}
-
-// void mt2::print()
-// {
-// cout << " pax = " << pax*scale << "; pay = " << pay*scale << "; ma = " << ma*scale <<";"<< '\n';
-// cout << " pbx = " << pbx*scale << "; pby = " << pby*scale << "; mb = " << mb*scale <<";"<< '\n';
-// cout << " pmissx = " << pmissx*scale << "; pmissy = " << pmissy*scale <<";"<< '\n';
-// cout << " mn = " << mn_unscale<<";" << '\n';
-// }
-
-//special case, the visible particle is massless
-void mt2::mt2_massless()
-{
-
-//rotate so that pay = 0
- double theta,s,c;
- theta = atan(pay/pax);
- s = sin(theta);
- c = cos(theta);
-
- double pxtemp,pytemp;
- Easq = pax*pax+pay*pay;
- Ebsq = pbx*pbx+pby*pby;
- Ea = sqrt(Easq);
- Eb = sqrt(Ebsq);
-
- pxtemp = pax*c+pay*s;
- pax = pxtemp;
- pay = 0;
- pxtemp = pbx*c+pby*s;
- pytemp = -s*pbx+c*pby;
- pbx = pxtemp;
- pby = pytemp;
- pxtemp = pmissx*c+pmissy*s;
- pytemp = -s*pmissx+c*pmissy;
- pmissx = pxtemp;
- pmissy = pytemp;
-
- a2 = 1-pbx*pbx/(Ebsq);
- b2 = -pbx*pby/(Ebsq);
- c2 = 1-pby*pby/(Ebsq);
-
- d21 = (Easq*pbx)/Ebsq;
- d20 = - pmissx + (pbx*(pbx*pmissx + pby*pmissy))/Ebsq;
- e21 = (Easq*pby)/Ebsq;
- e20 = - pmissy + (pby*(pbx*pmissx + pby*pmissy))/Ebsq;
- f22 = -(Easq*Easq/Ebsq);
- f21 = -2*Easq*(pbx*pmissx + pby*pmissy)/Ebsq;
- f20 = mnsq + pmissxsq + pmissysq - (pbx*pmissx + pby*pmissy)*(pbx*pmissx + pby*pmissy)/Ebsq;
-
- double Deltasq0 = 0;
- double Deltasq_low, Deltasq_high;
- int nsols_high, nsols_low;
-
- Deltasq_low = Deltasq0 + precision;
- nsols_low = nsols_massless(Deltasq_low);
-
- if(nsols_low > 1)
- {
- mt2_b = (double) sqrt(Deltasq0+mnsq);
- return;
- }
-
-/*
- if( nsols_massless(Deltasq_high) > 0 )
- {
- mt2_b = (double) sqrt(mnsq+Deltasq0);
- return;
- }*/
-
-//look for when both parablos contain origin
- double Deltasq_high1, Deltasq_high2;
- Deltasq_high1 = 2*Eb*sqrt(pmissx*pmissx+pmissy*pmissy+mnsq)-2*pbx*pmissx-2*pby*pmissy;
- Deltasq_high2 = 2*Ea*mn;
-
- if(Deltasq_high1 < Deltasq_high2) Deltasq_high = Deltasq_high2;
- else Deltasq_high = Deltasq_high1;
-
- nsols_high=nsols_massless(Deltasq_high);
-
- int foundhigh;
- if (nsols_high == nsols_low)
- {
-
-
- foundhigh=0;
-
- double minmass, maxmass;
- minmass = mn ;
- maxmass = sqrt(mnsq + Deltasq_high);
- for(double mass = minmass + SCANSTEP; mass < maxmass; mass += SCANSTEP)
- {
- Deltasq_high = mass*mass - mnsq;
-
- nsols_high = nsols_massless(Deltasq_high);
- if(nsols_high>0)
- {
- foundhigh=1;
- Deltasq_low = (mass-SCANSTEP)*(mass-SCANSTEP) - mnsq;
- break;
- }
- }
- if(foundhigh==0)
- {
-
- Log::getLog("Rivet.Tools.mt2")
- << Log::WARN
- << "Deltasq_high not found at event " << nevt << '\n';
-
- mt2_b = (double)sqrt(Deltasq_low+mnsq);
- return;
- }
- }
-
- if(nsols_high == nsols_low)
- {
- Log::getLog("Rivet.Tools.mt2")
- << Log::ERROR
- << "error: nsols_low=nsols_high=" << nsols_high << '\n'
- << "Deltasq_high=" << Deltasq_high << '\n'
- << "Deltasq_low= "<< Deltasq_low << '\n';
-
- mt2_b = sqrt(mnsq + Deltasq_low);
- return;
- }
- double minmass, maxmass;
- minmass = sqrt(Deltasq_low+mnsq);
- maxmass = sqrt(Deltasq_high+mnsq);
- while(maxmass - minmass > precision)
- {
- double Delta_mid, midmass, nsols_mid;
- midmass = (minmass+maxmass)/2.;
- Delta_mid = midmass * midmass - mnsq;
- nsols_mid = nsols_massless(Delta_mid);
- if(nsols_mid != nsols_low) maxmass = midmass;
- if(nsols_mid == nsols_low) minmass = midmass;
- }
- mt2_b = minmass;
- return;
-}
-
-int mt2::nsols_massless(double Dsq)
-{
- double delta;
- delta = Dsq/(2*Easq);
- d1 = d11*delta;
- e1 = e11*delta;
- f1 = f12*delta*delta+f10;
- d2 = d21*delta+d20;
- e2 = e21*delta+e20;
- f2 = f22*delta*delta+f21*delta+f20;
-
- double a,b;
- if (pax > 0) a = Ea/Dsq;
- else a = -Ea/Dsq;
- if (pax > 0) b = -Dsq/(4*Ea)+mnsq*Ea/Dsq;
- else b = Dsq/(4*Ea)-mnsq*Ea/Dsq;
-
- double A4,A3,A2,A1,A0;
-
- A4 = a*a*a2;
- A3 = 2*a*b2/Ea;
- A2 = (2*a*a2*b+c2+2*a*d2)/(Easq);
- A1 = (2*b*b2+2*e2)/(Easq*Ea);
- A0 = (a2*b*b+2*b*d2+f2)/(Easq*Easq);
-
- long double B3, B2, B1, B0;
- B3 = 4*A4;
- B2 = 3*A3;
- B1 = 2*A2;
- B0 = A1;
- long double C2, C1, C0;
- C2 = -(A2/2 - 3*A3*A3/(16*A4));
- C1 = -(3*A1/4. -A2*A3/(8*A4));
- C0 = -A0 + A1*A3/(16*A4);
- long double D1, D0;
- D1 = -B1 - (B3*C1*C1/C2 - B3*C0 -B2*C1)/C2;
- D0 = -B0 - B3 *C0 *C1/(C2*C2)+ B2*C0/C2;
-
- long double E0;
- E0 = -C0 - C2*D0*D0/(D1*D1) + C1*D0/D1;
-
- long double t1,t2,t3,t4,t5;
-
-//find the coefficients for the leading term in the Sturm sequence
- t1 = A4;
- t2 = A4;
- t3 = C2;
- t4 = D1;
- t5 = E0;
-
- int nsol;
- nsol = signchange_n(t1,t2,t3,t4,t5)-signchange_p(t1,t2,t3,t4,t5);
- if( nsol < 0 ) nsol=0;
-
- return nsol;
-
-}
-
-void mt2::mt2_bisect()
-{
- solved = true;
-
-//if masses are very small, use code for massless case.
- if(masq < MIN_MASS && mbsq < MIN_MASS)
- {
- mt2_massless();
- return;
- }
-
-
- double Deltasq0;
- Deltasq0 = ma*(ma + 2*mn); //The minimum mass square to have two ellipses
-
-// find the coefficients for the two quadratic equations when Deltasq=Deltasq0.
-
- a1 = 1-pax*pax/(Easq);
- b1 = -pax*pay/(Easq);
- c1 = 1-pay*pay/(Easq);
- d1 = -pax*(Deltasq0-masq)/(2*Easq);
- e1 = -pay*(Deltasq0-masq)/(2*Easq);
- a2 = 1-pbx*pbx/(Ebsq);
- b2 = -pbx*pby/(Ebsq);
- c2 = 1-pby*pby/(Ebsq);
- d2 = -pmissx+pbx*(Deltasq0-mbsq)/(2*Ebsq)+pbx*(pbx*pmissx+pby*pmissy)/(Ebsq);
- e2 = -pmissy+pby*(Deltasq0-mbsq)/(2*Ebsq)+pby*(pbx*pmissx+pby*pmissy)/(Ebsq);
- f2 = pmissx*pmissx+pmissy*pmissy-((Deltasq0-mbsq)/(2*Eb)+
- (pbx*pmissx+pby*pmissy)/Eb)*((Deltasq0-mbsq)/(2*Eb)+
- (pbx*pmissx+pby*pmissy)/Eb)+mnsq;
-
-// find the center of the smaller ellipse
- double x0,y0;
- x0 = (c1*d1-b1*e1)/(b1*b1-a1*c1);
- y0 = (a1*e1-b1*d1)/(b1*b1-a1*c1);
-
-
-// Does the larger ellipse contain the smaller one?
- double dis=a2*x0*x0+2*b2*x0*y0+c2*y0*y0+2*d2*x0+2*e2*y0+f2;
-
- if(dis<=0.01)
- {
- mt2_b = (double) sqrt(mnsq+Deltasq0);
- return;
- }
-
-
-/* find the coefficients for the two quadratic equations */
-/* coefficients for quadratic terms do not change */
-/* coefficients for linear and constant terms are polynomials of */
-/* delta=(Deltasq-m7sq)/(2 E7sq) */
- d11 = -pax;
- e11 = -pay;
- f10 = mnsq;
- f12 = -Easq;
- d21 = (Easq*pbx)/Ebsq;
- d20 = ((masq - mbsq)*pbx)/(2.*Ebsq) - pmissx +
- (pbx*(pbx*pmissx + pby*pmissy))/Ebsq;
- e21 = (Easq*pby)/Ebsq;
- e20 = ((masq - mbsq)*pby)/(2.*Ebsq) - pmissy +
- (pby*(pbx*pmissx + pby*pmissy))/Ebsq;
- f22 = -Easq*Easq/Ebsq;
- f21 = (-2*Easq*((masq - mbsq)/(2.*Eb) + (pbx*pmissx + pby*pmissy)/Eb))/Eb;
- f20 = mnsq + pmissx*pmissx + pmissy*pmissy -
- ((masq - mbsq)/(2.*Eb) + (pbx*pmissx + pby*pmissy)/Eb)
- *((masq - mbsq)/(2.*Eb) + (pbx*pmissx + pby*pmissy)/Eb);
-
-//Estimate upper bound of mT2
-//when Deltasq > Deltasq_high1, the larger encloses the center of the smaller
- double p2x0,p2y0;
- double Deltasq_high1;
- p2x0 = pmissx-x0;
- p2y0 = pmissy-y0;
- Deltasq_high1 = 2*Eb*sqrt(p2x0*p2x0+p2y0*p2y0+mnsq)-2*pbx*p2x0-2*pby*p2y0+mbsq;
-
-//Another estimate, if both ellipses enclose the origin, Deltasq > mT2
-
- double Deltasq_high2, Deltasq_high21, Deltasq_high22;
- Deltasq_high21 = 2*Eb*sqrt(pmissx*pmissx+pmissy*pmissy+mnsq)-2*pbx*pmissx-2*pby*pmissy+mbsq;
- Deltasq_high22 = 2*Ea*mn+masq;
-
- if ( Deltasq_high21 < Deltasq_high22 ) Deltasq_high2 = Deltasq_high22;
- else Deltasq_high2 = Deltasq_high21;
-
-//pick the smaller upper bound
- double Deltasq_high;
- if(Deltasq_high1 < Deltasq_high2) Deltasq_high = Deltasq_high1;
- else Deltasq_high = Deltasq_high2;
-
-
- double Deltasq_low; //lower bound
- Deltasq_low = Deltasq0;
-
-//number of solutions at Deltasq_low should not be larger than zero
- if( nsols(Deltasq_low) > 0 )
- {
- //cout << "nsolutions(Deltasq_low) > 0"<<'\n';
- mt2_b = (double) sqrt(mnsq+Deltasq0);
- return;
- }
-
- int nsols_high, nsols_low;
-
- nsols_low = nsols(Deltasq_low);
- int foundhigh;
-
-
-//if nsols_high=nsols_low, we missed the region where the two ellipse overlap
-//if nsols_high=4, also need a scan because we may find the wrong tangent point.
-
- nsols_high = nsols(Deltasq_high);
-
- if(nsols_high == nsols_low || nsols_high == 4)
- {
- //foundhigh = scan_high(Deltasq_high);
- foundhigh = find_high(Deltasq_high);
- if(foundhigh == 0)
- {
- Log::getLog("Rivet.Tools.mt2")
- << Log::WARN
- << "Deltasq_high not found at event " << nevt << '\n';
- mt2_b = sqrt( Deltasq_low + mnsq );
- return;
- }
-
- }
-
- while(sqrt(Deltasq_high+mnsq) - sqrt(Deltasq_low+mnsq) > precision)
- {
- double Deltasq_mid,nsols_mid;
- //bisect
- Deltasq_mid = (Deltasq_high+Deltasq_low)/2.;
- nsols_mid = nsols(Deltasq_mid);
- // if nsols_mid = 4, rescan for Deltasq_high
- if ( nsols_mid == 4 )
- {
- Deltasq_high = Deltasq_mid;
- //scan_high(Deltasq_high);
- find_high(Deltasq_high);
- continue;
- }
-
-
- if(nsols_mid != nsols_low) Deltasq_high = Deltasq_mid;
- if(nsols_mid == nsols_low) Deltasq_low = Deltasq_mid;
- }
- mt2_b = (double) sqrt( mnsq + Deltasq_high);
- return;
-}
-
-int mt2::find_high(double & Deltasq_high)
-{
- double x0,y0;
- x0 = (c1*d1-b1*e1)/(b1*b1-a1*c1);
- y0 = (a1*e1-b1*d1)/(b1*b1-a1*c1);
- double Deltasq_low = (mn + ma)*(mn + ma) - mnsq;
- do
- {
- double Deltasq_mid = (Deltasq_high + Deltasq_low)/2.;
- int nsols_mid = nsols(Deltasq_mid);
- if ( nsols_mid == 2 )
- {
- Deltasq_high = Deltasq_mid;
- return 1;
- }
- else if (nsols_mid == 4)
- {
- Deltasq_high = Deltasq_mid;
- continue;
- }
- else if (nsols_mid ==0)
- {
- d1 = -pax*(Deltasq_mid-masq)/(2*Easq);
- e1 = -pay*(Deltasq_mid-masq)/(2*Easq);
- d2 = -pmissx + pbx*(Deltasq_mid - mbsq)/(2*Ebsq)
- + pbx*(pbx*pmissx+pby*pmissy)/(Ebsq);
- e2 = -pmissy + pby*(Deltasq_mid - mbsq)/(2*Ebsq)
- + pby*(pbx*pmissx+pby*pmissy)/(Ebsq);
- f2 = pmissx*pmissx+pmissy*pmissy-((Deltasq_mid-mbsq)/(2*Eb)+
- (pbx*pmissx+pby*pmissy)/Eb)*((Deltasq_mid-mbsq)/(2*Eb)+
- (pbx*pmissx+pby*pmissy)/Eb)+mnsq;
-// Does the larger ellipse contain the smaller one?
- double dis = a2*x0*x0 + 2*b2*x0*y0 + c2*y0*y0 + 2*d2*x0 + 2*e2*y0 + f2;
- if (dis < 0) Deltasq_high = Deltasq_mid;
- else Deltasq_low = Deltasq_mid;
- }
-
- } while ( Deltasq_high - Deltasq_low > 0.001);
- return 0;
-}
-int mt2::scan_high(double & Deltasq_high)
-{
- int foundhigh = 0 ;
- int nsols_high;
-
-
- double tempmass, maxmass;
- tempmass = mn + ma;
- maxmass = sqrt(mnsq + Deltasq_high);
- // if (nevt == 32334) {
-
- // cout << "Deltasq_high = " << Deltasq_high << '\n';
- // }
- for(double mass = tempmass + SCANSTEP; mass < maxmass; mass += SCANSTEP)
- {
- Deltasq_high = mass*mass - mnsq;
- nsols_high = nsols(Deltasq_high);
-
- if( nsols_high > 0)
- {
- foundhigh = 1;
- break;
- }
- }
- return foundhigh;
-}
-int mt2::nsols( double Dsq)
-{
- double delta = (Dsq-masq)/(2*Easq);
-
-//calculate coefficients for the two quadratic equations
- d1 = d11*delta;
- e1 = e11*delta;
- f1 = f12*delta*delta+f10;
- d2 = d21*delta+d20;
- e2 = e21*delta+e20;
- f2 = f22*delta*delta+f21*delta+f20;
-
-//obtain the coefficients for the 4th order equation
-//devided by Ea^n to make the variable dimensionless
- long double A4, A3, A2, A1, A0;
-
- A4 =
- -4*a2*b1*b2*c1 + 4*a1*b2*b2*c1 +a2*a2*c1*c1 +
- 4*a2*b1*b1*c2 - 4*a1*b1*b2*c2 - 2*a1*a2*c1*c2 +
- a1*a1*c2*c2;
-
- A3 =
- (-4*a2*b2*c1*d1 + 8*a2*b1*c2*d1 - 4*a1*b2*c2*d1 - 4*a2*b1*c1*d2 +
- 8*a1*b2*c1*d2 - 4*a1*b1*c2*d2 - 8*a2*b1*b2*e1 + 8*a1*b2*b2*e1 +
- 4*a2*a2*c1*e1 - 4*a1*a2*c2*e1 + 8*a2*b1*b1*e2 - 8*a1*b1*b2*e2 -
- 4*a1*a2*c1*e2 + 4*a1*a1*c2*e2)/Ea;
-
-
- A2 =
- (4*a2*c2*d1*d1 - 4*a2*c1*d1*d2 - 4*a1*c2*d1*d2 + 4*a1*c1*d2*d2 -
- 8*a2*b2*d1*e1 - 8*a2*b1*d2*e1 + 16*a1*b2*d2*e1 +
- 4*a2*a2*e1*e1 + 16*a2*b1*d1*e2 - 8*a1*b2*d1*e2 -
- 8*a1*b1*d2*e2 - 8*a1*a2*e1*e2 + 4*a1*a1*e2*e2 - 4*a2*b1*b2*f1 +
- 4*a1*b2*b2*f1 + 2*a2*a2*c1*f1 - 2*a1*a2*c2*f1 +
- 4*a2*b1*b1*f2 - 4*a1*b1*b2*f2 - 2*a1*a2*c1*f2 + 2*a1*a1*c2*f2)/Easq;
-
- A1 =
- (-8*a2*d1*d2*e1 + 8*a1*d2*d2*e1 + 8*a2*d1*d1*e2 - 8*a1*d1*d2*e2 -
- 4*a2*b2*d1*f1 - 4*a2*b1*d2*f1 + 8*a1*b2*d2*f1 + 4*a2*a2*e1*f1 -
- 4*a1*a2*e2*f1 + 8*a2*b1*d1*f2 - 4*a1*b2*d1*f2 - 4*a1*b1*d2*f2 -
- 4*a1*a2*e1*f2 + 4*a1*a1*e2*f2)/(Easq*Ea);
-
- A0 =
- (-4*a2*d1*d2*f1 + 4*a1*d2*d2*f1 + a2*a2*f1*f1 +
- 4*a2*d1*d1*f2 - 4*a1*d1*d2*f2 - 2*a1*a2*f1*f2 +
- a1*a1*f2*f2)/(Easq*Easq);
-
- long double B3, B2, B1, B0;
- B3 = 4*A4;
- B2 = 3*A3;
- B1 = 2*A2;
- B0 = A1;
-
- long double C2, C1, C0;
- C2 = -(A2/2 - 3*A3*A3/(16*A4));
- C1 = -(3*A1/4. -A2*A3/(8*A4));
- C0 = -A0 + A1*A3/(16*A4);
-
- long double D1, D0;
- D1 = -B1 - (B3*C1*C1/C2 - B3*C0 -B2*C1)/C2;
- D0 = -B0 - B3 *C0 *C1/(C2*C2)+ B2*C0/C2;
-
- long double E0;
- E0 = -C0 - C2*D0*D0/(D1*D1) + C1*D0/D1;
-
- long double t1,t2,t3,t4,t5;
-//find the coefficients for the leading term in the Sturm sequence
- t1 = A4;
- t2 = A4;
- t3 = C2;
- t4 = D1;
- t5 = E0;
-
-
-//The number of solutions depends on diffence of number of sign changes for x->Inf and x->-Inf
- int nsol;
- nsol = signchange_n(t1,t2,t3,t4,t5) - signchange_p(t1,t2,t3,t4,t5);
-
-//Cannot have negative number of solutions, must be roundoff effect
- if (nsol < 0) nsol = 0;
-
- return nsol;
-
-}
-
-inline int mt2::signchange_n( long double t1, long double t2, long double t3, long double t4, long double t5)
-{
- int nsc;
- nsc=0;
- if(t1*t2>0) nsc++;
- if(t2*t3>0) nsc++;
- if(t3*t4>0) nsc++;
- if(t4*t5>0) nsc++;
- return nsc;
-}
-inline int mt2::signchange_p( long double t1, long double t2, long double t3, long double t4, long double t5)
-{
- int nsc;
- nsc=0;
- if(t1*t2<0) nsc++;
- if(t2*t3<0) nsc++;
- if(t3*t4<0) nsc++;
- if(t4*t5<0) nsc++;
- return nsc;
-}
-
-}//end namespace mt2_bisect
-
-}//end namespace Rivet
diff --git a/src/Tools/mt2_bisect.hh b/src/Tools/mt2_bisect.hh
deleted file mode 100644
--- a/src/Tools/mt2_bisect.hh
+++ /dev/null
@@ -1,89 +0,0 @@
-/// @cond MT2BISECT
-
-#ifndef MT2_BISECT_H
-#define MT2_BISECT_H
-
-/***********************************************************************/
-/* */
-/* Finding mt2 by Bisection */
-/* */
-/* Authors: Hsin-Chia Cheng, Zhenyu Han */
-/* Dec 11, 2008, v1.01a */
-/* */
-/* see arXiv:0810.5178 */
-/* */
-/* Wrapped for Rivet by D. Grellscheid */
-/* Apr 13, 2011 */
-/* */
-/***********************************************************************/
-
-namespace Rivet {
-
-namespace mt2_bisect
-{
-
-/*The user can change the desired precision below, the larger one of the following two definitions is used. Relative precision less than 0.00001 is not guaranteed to be achievable--use with caution*/
-
- const double RELATIVE_PRECISION = 0.00001;
- //defined as precision = RELATIVE_PRECISION * scale, where scale = max{Ea, Eb}
-
- const double ABSOLUTE_PRECISION = 0.0;
- //absolute precision for mt2, unused by default
-
-
-//Reserved for expert
- const double MIN_MASS = 0.1; //if ma<MINMASS and mb<MINMASS, use massless code
- const double ZERO_MASS = 0.000; //give massless particles a small mass
- const double SCANSTEP = 0.1;
-
-class mt2
-{
- public:
-
- mt2();
- void mt2_bisect();
- void mt2_massless();
- void set_momenta(double *pa0, double *pb0, double* pmiss0);
- void set_mn(double mn);
- double get_mt2();
- // void print();
- int nevt;
- private:
-
- bool solved;
- bool momenta_set;
- double mt2_b;
-
- int nsols(double Dsq);
- int nsols_massless(double Dsq);
- inline int signchange_n( long double t1, long double t2, long double t3, long double t4, long double t5);
- inline int signchange_p( long double t1, long double t2, long double t3, long double t4, long double t5);
- int scan_high(double &Deltasq_high);
- int find_high(double &Deltasq_high);
- //data members
- double pax, pay, ma, Ea;
- double pmissx, pmissy;
- double pbx, pby, mb, Eb;
- double mn, mn_unscale;
-
- //auxiliary definitions
- double masq, Easq;
- double mbsq, Ebsq;
- double pmissxsq, pmissysq;
- double mnsq;
-
- //auxiliary coefficients
- double a1, b1, c1, a2, b2, c2, d1, e1, f1, d2, e2, f2;
- double d11, e11, f12, f10, d21, d20, e21, e20, f22, f21, f20;
-
- double scale;
- double precision;
-};
-
-}//end namespace mt2_bisect
-
-}//end namespace Rivet
-
-#endif
-
-/// @endcond

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