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Index: contrib/contribs/Nsubjettiness/trunk/NEWS
===================================================================
--- contrib/contribs/Nsubjettiness/trunk/NEWS (revision 1410)
+++ contrib/contribs/Nsubjettiness/trunk/NEWS (revision 1411)
@@ -1,108 +1,110 @@
-------------------------
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.
* 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.
+-- 2.3.2: (February 27, 2024) Fixing unsigned int warning in
+ example_advanced_usage.cc (thanks Gregory Soyez)
-- 2.3.1: (February 27, 2024) Fixing unsigned int warning in AxesDefinition.hh
(thanks Gregory Soyez)
-- 2.3.0: (February 23, 2024) Changed recommended axes away from OnePass;
added HalfKT axes options recommended for beta = 2; updated example
files; removed ee testing since ee axes choices are not available
-- 2.2.6: (June 13, 2022) Removed "static" for thread safety (thanks Tomek
Procter and Andy Buckley)
-- 2.2.5: (June 6, 2018) Fixed bug involved undefined pointer for in
AxesDefinition (thanks Attila Krasznahorkay)
-- 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)
Index: contrib/contribs/Nsubjettiness/trunk/ChangeLog
===================================================================
--- contrib/contribs/Nsubjettiness/trunk/ChangeLog (revision 1410)
+++ contrib/contribs/Nsubjettiness/trunk/ChangeLog (revision 1411)
@@ -1,348 +1,351 @@
+2024-02-28 <jthaler>
+ Fixing unsigned int warning in example_advanced_usage.cc
+ Updated NEWS and VERSION getting ready for v2.3.2 release
2024-02-27 <jthaler>
Fixing unsigned int warning in AxesDefinition.hh
- Updated README and VERSION getting ready for v2.3.1 release
+ Updated NEWS and VERSION getting ready for v2.3.1 release
2024-02-22 <jthaler>
Updated README and VERSION getting ready for v2.3.0 release
Removed extraneous "-lm" from Makefile
Added HalfKT options to AxesDefinition.hh
Updated example files with new recommended usage and higher accuracy for OnePass minimization
Removed "ee" example file, since it uses ee measure with pp axes (ee axes not available in current version)
2022-06-13 <jthaler>
Removed -std=c++11 flag from makefile
Updated MeasureDefinition.cc to remove "static thread_local" (since it
doesn't really seem to help with timing)
2022-06-10 <jthaler>
Updated makefile with -std=c++11 flag
Updated MeasureDefinition.cc with thread_local for thread safety
2018-07-06 <jthaler>
Updated comments in AxesDefinition.hh about role of JetDefinitionWrapper
Updated AUTHORS with JHEP publication information for XCone
Prepared VERSION and NEWS for 2.2.5 release
2018-07-05 <jthaler>
Fixed bug in AxesDefinition.hh where _recomb was used before it was declared.
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/
Index: contrib/contribs/Nsubjettiness/trunk/example_advanced_usage.cc
===================================================================
--- contrib/contribs/Nsubjettiness/trunk/example_advanced_usage.cc (revision 1410)
+++ contrib/contribs/Nsubjettiness/trunk/example_advanced_usage.cc (revision 1411)
@@ -1,996 +1,996 @@
// Nsubjettiness Package
// Questions/Comments? jthaler@jthaler.net
//
// Copyright (c) 2011-13
// Jesse Thaler, Ken Van Tilburg, Christopher K. Vermilion, and TJ Wilkason
//
// Run this example with
// ./example_advanced_usage < ../data/single-event.dat
//
// $Id$
//----------------------------------------------------------------------
// 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 <iomanip>
#include <stdlib.h>
#include <stdio.h>
#include <time.h>
#include <iostream>
#include <istream>
#include <fstream>
#include <sstream>
#include <string>
#include "fastjet/PseudoJet.hh"
#include "fastjet/ClusterSequenceArea.hh"
#include <sstream>
#include "Nsubjettiness.hh" // In external code, this should be fastjet/contrib/Nsubjettiness.hh
#include "Njettiness.hh"
#include "NjettinessPlugin.hh"
#include "XConePlugin.hh"
using namespace std;
using namespace fastjet;
using namespace fastjet::contrib;
// forward declaration to make things clearer
void read_event(vector<PseudoJet> &event);
void analyze(const vector<PseudoJet> & input_particles);
//----------------------------------------------------------------------
int main(){
//----------------------------------------------------------
// read in input particles
vector<PseudoJet> event;
read_event(event);
cout << "# read an event with " << event.size() << " particles" << endl;
//----------------------------------------------------------
// illustrate how Nsubjettiness contrib works
analyze(event);
return 0;
}
// Simple class to store Axes along with a name for display
class AxesStruct {
private:
// Shared Ptr so it handles memory management
SharedPtr<AxesDefinition> _axes_def;
public:
AxesStruct(const AxesDefinition & axes_def)
: _axes_def(axes_def.create()) {}
// Need special copy constructor to make it possible to put in a std::vector
AxesStruct(const AxesStruct& myStruct)
: _axes_def(myStruct._axes_def->create()) {}
const AxesDefinition & def() const {return *_axes_def;}
AxesDefinition & def_for_change() {return *_axes_def;}
string description() const {return _axes_def->description();}
string short_description() const {return _axes_def->short_description();}
};
// Simple class to store Measures to make it easier to put in std::vector
class MeasureStruct {
private:
// Shared Ptr so it handles memory management
SharedPtr<MeasureDefinition> _measure_def;
public:
MeasureStruct(const MeasureDefinition& measure_def)
: _measure_def(measure_def.create()) {}
// Need special copy constructor to make it possible to put in a std::vector
MeasureStruct(const MeasureStruct& myStruct)
: _measure_def(myStruct._measure_def->create()) {}
const MeasureDefinition & def() const {return *_measure_def;}
string description() const {return _measure_def->description();}
};
// read in input particles
void read_event(vector<PseudoJet> &event){
string line;
while (getline(cin, line)) {
istringstream linestream(line);
// take substrings to avoid problems when there are extra "pollution"
// characters (e.g. line-feed).
if (line.substr(0,4) == "#END") {return;}
if (line.substr(0,1) == "#") {continue;}
double px,py,pz,E;
linestream >> px >> py >> pz >> E;
PseudoJet particle(px,py,pz,E);
// push event onto back of full_event vector
event.push_back(particle);
}
}
// Helper Function for Printing out Jet Information
void PrintJets(const vector <PseudoJet>& jets, bool commentOut = false);
void PrintAxes(const vector <PseudoJet>& jets, bool commentOut = false);
void PrintJetsWithComponents(const vector <PseudoJet>& jets, bool commentOut = false);
////////
//
// Main Routine for Analysis
//
///////
void analyze(const vector<PseudoJet> & input_particles) {
////////
//
// This code will check multiple axes/measure modes
// First thing we do is establish the various modes we will check
//
///////
//Define characteristic test parameters to use here
double p = 0.5;
double delta = 10.0; // close to winner-take-all. TODO: Think about right value here.
double R0 = 0.2;
double Rcutoff = 0.5;
double infinity = std::numeric_limits<int>::max();
int nExtra = 2;
int NPass = 10;
// A list of all of the available axes modes
vector<AxesStruct> _testAxes;
_testAxes.push_back(HalfKT_Axes());
_testAxes.push_back(KT_Axes());
_testAxes.push_back(CA_Axes());
_testAxes.push_back(AntiKT_Axes(R0));
_testAxes.push_back(WTA_HalfKT_Axes());
_testAxes.push_back(WTA_KT_Axes());
_testAxes.push_back(WTA_CA_Axes());
_testAxes.push_back(GenKT_Axes(p, R0));
_testAxes.push_back(WTA_GenKT_Axes(p, R0));
_testAxes.push_back(GenET_GenKT_Axes(delta, p, R0));
_testAxes.push_back(OnePass_HalfKT_Axes());
_testAxes.push_back(OnePass_KT_Axes());
_testAxes.push_back(OnePass_AntiKT_Axes(R0));
_testAxes.push_back(OnePass_WTA_HalfKT_Axes());
_testAxes.push_back(OnePass_WTA_KT_Axes());
_testAxes.push_back(OnePass_GenKT_Axes(p, R0));
_testAxes.push_back(OnePass_WTA_GenKT_Axes(p, R0));
_testAxes.push_back(OnePass_GenET_GenKT_Axes(delta, p, R0));
_testAxes.push_back(Comb_GenKT_Axes(nExtra, p, R0));
_testAxes.push_back(Comb_WTA_GenKT_Axes(nExtra, p, R0));
_testAxes.push_back(Comb_GenET_GenKT_Axes(nExtra, delta, p, R0));
// manual axes (should be identical to kt axes)
_testAxes.push_back(Manual_Axes());
_testAxes.push_back(OnePass_Manual_Axes());
// these axes are not checked during make check since they do not give reliable results
_testAxes.push_back(OnePass_CA_Axes()); // not recommended
_testAxes.push_back(OnePass_WTA_CA_Axes()); // not recommended
_testAxes.push_back(MultiPass_Axes(NPass));
_testAxes.push_back(MultiPass_Manual_Axes(NPass));
int num_unchecked = 4; // number of unchecked axes
// For testing purposes on different platforms, increase number of iterations
// and accuracy for OnePass minimization to be less sensitive to floating point rounding
- for (int i = 0; i < _testAxes.size(); i++) {
+ for (unsigned int i = 0; i < _testAxes.size(); i++) {
if (_testAxes[i].def().nPass() == 1) {
_testAxes[i].def_for_change().setNPass(1, 10000, 0.00001); // defaut is 1, 1000, 0.0001
}
}
//
// Note: Njettiness::min_axes is not guarenteed to give a global
// minimum, only a local minimum, and different choices of the random
// number seed can give different results. For that reason,
// the one-pass minimization are recommended over min_axes.
//
// Getting a smaller list of recommended axes modes
// These are the ones that are more likely to give sensible results (and are all IRC safe)
vector<AxesStruct> _testRecommendedAxes;
_testRecommendedAxes.push_back(HalfKT_Axes());
_testRecommendedAxes.push_back(WTA_KT_Axes());
// new axes options added in most recent version of Nsubjettiness
// these are separate from above since they should only be defined with a cutoff value for sensible results
vector<AxesStruct> _testAlgorithmRecommendedAxes;
_testAlgorithmRecommendedAxes.push_back(GenET_GenKT_Axes(1.0, 1.0, Rcutoff));
_testAlgorithmRecommendedAxes.push_back(GenET_GenKT_Axes(infinity, 1.0, Rcutoff));
_testAlgorithmRecommendedAxes.push_back(GenET_GenKT_Axes(1.0, 0.5, Rcutoff));
_testAlgorithmRecommendedAxes.push_back(OnePass_GenET_GenKT_Axes(1.0, 1.0, Rcutoff));
_testAlgorithmRecommendedAxes.push_back(OnePass_GenET_GenKT_Axes(infinity, 1.0, Rcutoff));
_testAlgorithmRecommendedAxes.push_back(OnePass_GenET_GenKT_Axes(1.0, 0.5, Rcutoff));
// Getting some of the measure modes to test
// (When applied to a single jet we won't test the cutoff measures,
// since cutoffs aren't typically helpful when applied to single jets)
// Note that we are calling measures by their MeasureDefinition
vector<MeasureStruct> _testMeasures;
_testMeasures.push_back( NormalizedMeasure(1.0, 1.0, pt_R));
_testMeasures.push_back(UnnormalizedMeasure(1.0 , pt_R));
_testMeasures.push_back( NormalizedMeasure(2.0, 1.0, pt_R));
_testMeasures.push_back(UnnormalizedMeasure(2.0 , pt_R));
// When doing Njettiness as a jet algorithm, want to test the cutoff measures.
// (Since they are not senisible without a cutoff)
vector<MeasureStruct> _testCutoffMeasures;
_testCutoffMeasures.push_back(UnnormalizedCutoffMeasure(1.0, Rcutoff, pt_R));
_testCutoffMeasures.push_back(UnnormalizedCutoffMeasure(2.0, Rcutoff, pt_R));
// new measures added in the most recent version of NSubjettiness
_testCutoffMeasures.push_back(ConicalMeasure(1.0, Rcutoff));
_testCutoffMeasures.push_back(ConicalMeasure(2.0, Rcutoff));
_testCutoffMeasures.push_back(OriginalGeometricMeasure(Rcutoff));
_testCutoffMeasures.push_back(ModifiedGeometricMeasure(Rcutoff));
_testCutoffMeasures.push_back(ConicalGeometricMeasure(1.0, 1.0, Rcutoff));
_testCutoffMeasures.push_back(ConicalGeometricMeasure(2.0, 1.0, Rcutoff));
_testCutoffMeasures.push_back(XConeMeasure(1.0, Rcutoff)); // Should be identical to ConicalGeometric
_testCutoffMeasures.push_back(XConeMeasure(2.0, Rcutoff));
/////// N-subjettiness /////////////////////////////
////////
//
// Start of analysis. First find anti-kT jets, then find N-subjettiness values of those jets
//
///////
// Initial clustering with anti-kt algorithm
JetAlgorithm algorithm = antikt_algorithm;
double jet_rad = 1.00; // jet radius for anti-kt algorithm
JetDefinition jetDef = JetDefinition(algorithm,jet_rad,E_scheme,Best);
ClusterSequence clust_seq(input_particles,jetDef);
vector<PseudoJet> antikt_jets = sorted_by_pt(clust_seq.inclusive_jets());
// clust_seq.delete_self_when_unused();
// small number to show equivalence of doubles
double epsilon = 0.0001;
for (int j = 0; j < 2; j++) { // Two hardest jets per event
if (antikt_jets[j].perp() < 200) continue;
cout << "-----------------------------------------------------------------------------------------------" << endl;
cout << "Analyzing Jet " << j + 1 << ":" << endl;
cout << "-----------------------------------------------------------------------------------------------" << endl;
////////
//
// Basic checks of tau values first
//
// If you don't want to know the directions of the subjets,
// then you can use the simple function Nsubjettiness.
//
// Recommended usage for Nsubjettiness:
// AxesMode: kt_axes, wta_kt_axes, onepass_kt_axes, or onepass_wta_kt_axes
// MeasureMode: unnormalized_measure
// beta with kt_axes: 2.0
// beta with wta_kt_axes: anything greater than 0.0 (particularly good for 1.0)
// beta with onepass_kt_axes or onepass_wta_kt_axes: between 1.0 and 3.0
//
///////
cout << "-----------------------------------------------------------------------------------------------" << endl;
cout << "Outputting N-subjettiness Values" << endl;
cout << "-----------------------------------------------------------------------------------------------" << endl;
// Now loop through all options
cout << setprecision(6) << right << fixed;
for (unsigned iM = 0; iM < _testMeasures.size(); iM++) {
cout << "-----------------------------------------------------------------------------------------------" << endl;
cout << _testMeasures[iM].description() << ":" << endl;
cout << setw(25) << "AxisMode"
<< setw(14) << "tau1"
<< setw(14) << "tau2"
<< setw(14) << "tau3"
<< setw(14) << "tau2/tau1"
<< setw(14) << "tau3/tau2"
<< endl;
for (unsigned iA = 0; iA < _testAxes.size(); iA++) {
// Current axes/measure modes and particles
const PseudoJet & my_jet = antikt_jets[j];
const vector<PseudoJet> particles = my_jet.constituents();
const AxesDefinition & axes_def = _testAxes[iA].def();
const MeasureDefinition & measure_def = _testMeasures[iM].def();
// This case doesn't work, so skip it.
// if (axes_def.givesRandomizedResults()) continue;
// define Nsubjettiness functions
Nsubjettiness nSub1(1, axes_def, measure_def);
Nsubjettiness nSub2(2, axes_def, measure_def);
Nsubjettiness nSub3(3, axes_def, measure_def);
// define manual axes when they are necessary (should be identical to KT_Axes)
if (axes_def.needsManualAxes()) {
JetDefinition manual_jetDef(fastjet::kt_algorithm,
fastjet::JetDefinition::max_allowable_R,
// new WinnerTakeAllRecombiner(),
fastjet::E_scheme,
fastjet::Best);
fastjet::ClusterSequence manual_clustSeq(particles, manual_jetDef);
nSub1.setAxes(manual_clustSeq.exclusive_jets(1));
nSub2.setAxes(manual_clustSeq.exclusive_jets(2));
nSub3.setAxes(manual_clustSeq.exclusive_jets(3));
}
// calculate Nsubjettiness values
double tau1 = nSub1(my_jet);
double tau2 = nSub2(my_jet);
double tau3 = nSub3(my_jet);
//These should only happen if the axes are not manual and are not multipass
double tau21, tau32;
if (!axes_def.needsManualAxes() && !axes_def.givesRandomizedResults()) {
// An entirely equivalent, but painful way to calculate is:
double tau1alt = measure_def(particles,axes_def(1,particles,&measure_def));
double tau2alt = measure_def(particles,axes_def(2,particles,&measure_def));
double tau3alt = measure_def(particles,axes_def(3,particles,&measure_def));
assert(tau1alt == tau1);
assert(tau2alt == tau2);
assert(tau3alt == tau3);
NsubjettinessRatio nSub21(2,1, axes_def, measure_def);
NsubjettinessRatio nSub32(3,2, axes_def, measure_def);
tau21 = nSub21(my_jet);
tau32 = nSub32(my_jet);
// Make sure calculations are consistent
if (!_testAxes[iA].def().givesRandomizedResults()) {
assert(abs(tau21 - tau2/tau1) < epsilon);
assert(abs(tau32 - tau3/tau2) < epsilon);
}
}
else {
tau21 = tau2/tau1;
tau32 = tau3/tau2;
}
string axesName = _testAxes[iA].short_description();
string left_hashtag;
// comment out with # because MultiPass uses random number seed, or because axes do not give reliable results (those at the end of axes vector)
if (_testAxes[iA].def().givesRandomizedResults() || iA >= (_testAxes.size() - num_unchecked)) left_hashtag = "#";
else left_hashtag = " ";
// Output results:
cout << std::right
<< left_hashtag
<< setw(23)
<< axesName
<< ":"
<< setw(14) << tau1
<< setw(14) << tau2
<< setw(14) << tau3
<< setw(14) << tau21
<< setw(14) << tau32
<< endl;
}
}
cout << "-----------------------------------------------------------------------------------------------" << endl;
cout << "Done Outputting N-subjettiness Values" << endl;
cout << "-----------------------------------------------------------------------------------------------" << endl;
////////
//
// Finding axes/jets found by N-subjettiness partitioning
//
// This uses the component_results function to get the subjet information
//
///////
cout << "-----------------------------------------------------------------------------------------------" << endl;
cout << "Outputting N-subjettiness Subjets" << endl;
cout << "-----------------------------------------------------------------------------------------------" << endl;
// Loop through all options, this time setting up jet finding
cout << setprecision(6) << left << fixed;
for (unsigned iM = 0; iM < _testMeasures.size(); iM++) {
for (unsigned iA = 0; iA < _testRecommendedAxes.size(); iA++) {
const PseudoJet & my_jet = antikt_jets[j];
const AxesDefinition & axes_def = _testRecommendedAxes[iA].def();
const MeasureDefinition & measure_def = _testMeasures[iM].def();
// This case doesn't work, so skip it.
if (axes_def.givesRandomizedResults()) continue;
// define Nsubjettiness functions
Nsubjettiness nSub1(1, axes_def, measure_def);
Nsubjettiness nSub2(2, axes_def, measure_def);
Nsubjettiness nSub3(3, axes_def, measure_def);
// get component results
TauComponents tau1comp = nSub1.component_result(my_jet);
TauComponents tau2comp = nSub2.component_result(my_jet);
TauComponents tau3comp = nSub3.component_result(my_jet);
vector<PseudoJet> jets1 = tau1comp.jets();
vector<PseudoJet> jets2 = tau2comp.jets();
vector<PseudoJet> jets3 = tau3comp.jets();
vector<PseudoJet> axes1 = tau1comp.axes();
vector<PseudoJet> axes2 = tau2comp.axes();
vector<PseudoJet> axes3 = tau3comp.axes();
cout << "-----------------------------------------------------------------------------------------------" << endl;
cout << measure_def.description() << ":" << endl;
cout << axes_def.description() << ":" << endl;
bool commentOut = false;
if (axes_def.givesRandomizedResults()) commentOut = true; // have to comment out min_axes, because it has random values
// This helper function tries to find out if the jets have tau information for printing
PrintJetsWithComponents(jets1,commentOut);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintJetsWithComponents(jets2,commentOut);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintJetsWithComponents(jets3,commentOut);
cout << "^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" << endl;
cout << "Axes Used for Above Subjets" << endl;
PrintAxes(axes1,commentOut);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintAxes(axes2,commentOut);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintAxes(axes3,commentOut);
}
}
cout << "-----------------------------------------------------------------------------------------------" << endl;
cout << "Done Outputting N-subjettiness Subjets" << endl;
cout << "-----------------------------------------------------------------------------------------------" << endl;
}
////////// the XCone Jet Algorithm ///////////////////////////
////////
//
// We define a specific implementation of N-jettiness as a jet algorithm, which we call "XCone".
// This is the recommended version for all users.
//
// Recommended usage of XConePlugin is with beta = 2.0
// Beta = 1.0 is also useful as a recoil-free variant in the face of pile-up.
//
///////
cout << "-----------------------------------------------------------------------------------------------" << endl;
cout << "Using the XCone Jet Algorithm" << endl;
cout << "-----------------------------------------------------------------------------------------------" << endl;
//create list of various values of beta
vector<double> betalist;
betalist.push_back(1.0);
betalist.push_back(2.0);
unsigned int n_betas = betalist.size();
for (unsigned iB = 0; iB < n_betas; iB++) {
double beta = betalist[iB];
// define the plugins
XConePlugin xcone_plugin2(2, Rcutoff, beta);
XConePlugin xcone_plugin3(3, Rcutoff, beta);
XConePlugin xcone_plugin4(4, Rcutoff, beta);
// and the jet definitions
JetDefinition xcone_jetDef2(&xcone_plugin2);
JetDefinition xcone_jetDef3(&xcone_plugin3);
JetDefinition xcone_jetDef4(&xcone_plugin4);
// and the cluster sequences
ClusterSequence xcone_seq2(input_particles, xcone_jetDef2);
ClusterSequence xcone_seq3(input_particles, xcone_jetDef3);
ClusterSequence xcone_seq4(input_particles, xcone_jetDef4);
// and associated extras for more information
const NjettinessExtras * extras2 = njettiness_extras(xcone_seq2);
const NjettinessExtras * extras3 = njettiness_extras(xcone_seq3);
const NjettinessExtras * extras4 = njettiness_extras(xcone_seq4);
// and find the jets
vector<PseudoJet> xcone_jets2 = xcone_seq2.inclusive_jets();
vector<PseudoJet> xcone_jets3 = xcone_seq3.inclusive_jets();
vector<PseudoJet> xcone_jets4 = xcone_seq4.inclusive_jets();
// (alternative way to find the jets)
//vector<PseudoJet> xcone_jets2 = extras2->jets();
//vector<PseudoJet> xcone_jets3 = extras3->jets();
//vector<PseudoJet> xcone_jets4 = extras4->jets();
cout << "-----------------------------------------------------------------------------------------------" << endl;
cout << "Using beta = " << setprecision(2) << beta << ", Rcut = " << setprecision(2) << Rcutoff << endl;
cout << "-----------------------------------------------------------------------------------------------" << endl;
PrintJets(xcone_jets2);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintJets(xcone_jets3);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintJets(xcone_jets4);
// The axes might point in a different direction than the jets
// Using the NjettinessExtras pointer (ClusterSequence::Extras) to access that information
vector<PseudoJet> xcone_axes2 = extras2->axes();
vector<PseudoJet> xcone_axes3 = extras3->axes();
vector<PseudoJet> xcone_axes4 = extras4->axes();
cout << "^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" << endl;
cout << "Axes Used for Above Jets" << endl;
PrintAxes(xcone_axes2);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintAxes(xcone_axes3);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintAxes(xcone_axes4);
bool calculateArea = false;
if (calculateArea) {
cout << "^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" << endl;
cout << "Adding Area Information (quite slow)" << endl;
double ghost_maxrap = 5.0; // e.g. if particles go up to y=5
AreaDefinition area_def(active_area_explicit_ghosts, GhostedAreaSpec(ghost_maxrap));
// Defining cluster sequences with area
ClusterSequenceArea xcone_seq_area2(input_particles, xcone_jetDef2, area_def);
ClusterSequenceArea xcone_seq_area3(input_particles, xcone_jetDef3, area_def);
ClusterSequenceArea xcone_seq_area4(input_particles, xcone_jetDef4, area_def);
vector<PseudoJet> xcone_jets_area2 = xcone_seq_area2.inclusive_jets();
vector<PseudoJet> xcone_jets_area3 = xcone_seq_area3.inclusive_jets();
vector<PseudoJet> xcone_jets_area4 = xcone_seq_area4.inclusive_jets();
PrintJets(xcone_jets_area2);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintJets(xcone_jets_area3);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintJets(xcone_jets_area4);
}
}
cout << "-----------------------------------------------------------------------------------------------" << endl;
cout << "Done Using the XCone Jet Algorithm" << endl;
cout << "-----------------------------------------------------------------------------------------------" << endl;
////////// N-jettiness as a jet algorithm ///////////////////////////
////////
//
// The user can also defined N-jettiness as a jet algorithm more generally, using different choice
// for measures and for axis finding.
//
// Recommended usage of NjettinessPlugin (event-wide)
// AxesMode: wta_kt_axes or onepass_wta_kt_axes
// MeasureMode: unnormalized_measure
// beta with wta_kt_axes: anything greater than 0.0 (particularly good for 1.0)
// beta with onepass_wta_kt_axes: between 1.0 and 3.0
//
// Note that the user should find that the usage of Conical Geometric Measure beta = 1.0 with
// GenET_GenKT_Axes(std::numeric_limits<int>::max(), 1.0, Rcutoff) should be identical to XCone beta = 1.0,
// and Conical Geometric Measure beta = 2.0 with GenET_GenKT_Axes(1.0, 0.5, Rcutoff) should be identical to
// XCone beta = 2.0.
//
///////
cout << "-----------------------------------------------------------------------------------------------" << endl;
cout << "Using N-jettiness as a Jet Algorithm" << endl;
cout << "-----------------------------------------------------------------------------------------------" << endl;
for (unsigned iM = 0; iM < _testCutoffMeasures.size(); iM++) {
for (unsigned iA = 0; iA < _testAlgorithmRecommendedAxes.size(); iA++) {
const AxesDefinition & axes_def = _testAlgorithmRecommendedAxes[iA].def();
const MeasureDefinition & measure_def = _testCutoffMeasures[iM].def();
// define the plugins
NjettinessPlugin njet_plugin2(2, axes_def,measure_def);
NjettinessPlugin njet_plugin3(3, axes_def,measure_def);
NjettinessPlugin njet_plugin4(4, axes_def,measure_def);
// and the jet definitions
JetDefinition njet_jetDef2(&njet_plugin2);
JetDefinition njet_jetDef3(&njet_plugin3);
JetDefinition njet_jetDef4(&njet_plugin4);
// and the cluster sequences
ClusterSequence njet_seq2(input_particles, njet_jetDef2);
ClusterSequence njet_seq3(input_particles, njet_jetDef3);
ClusterSequence njet_seq4(input_particles, njet_jetDef4);
// and associated extras for more information
const NjettinessExtras * extras2 = njettiness_extras(njet_seq2);
const NjettinessExtras * extras3 = njettiness_extras(njet_seq3);
const NjettinessExtras * extras4 = njettiness_extras(njet_seq4);
// and find the jets
vector<PseudoJet> njet_jets2 = njet_seq2.inclusive_jets();
vector<PseudoJet> njet_jets3 = njet_seq3.inclusive_jets();
vector<PseudoJet> njet_jets4 = njet_seq4.inclusive_jets();
// (alternative way to find the jets)
//vector<PseudoJet> njet_jets2 = extras2->jets();
//vector<PseudoJet> njet_jets3 = extras3->jets();
//vector<PseudoJet> njet_jets4 = extras4->jets();
cout << "-----------------------------------------------------------------------------------------------" << endl;
cout << measure_def.description() << ":" << endl;
cout << axes_def.description() << ":" << endl;
PrintJets(njet_jets2);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintJets(njet_jets3);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintJets(njet_jets4);
// The axes might point in a different direction than the jets
// Using the NjettinessExtras pointer (ClusterSequence::Extras) to access that information
vector<PseudoJet> njet_axes2 = extras2->axes();
vector<PseudoJet> njet_axes3 = extras3->axes();
vector<PseudoJet> njet_axes4 = extras4->axes();
cout << "^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" << endl;
cout << "Axes Used for Above Jets" << endl;
PrintAxes(njet_axes2);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintAxes(njet_axes3);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintAxes(njet_axes4);
bool calculateArea = false;
if (calculateArea) {
cout << "^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^" << endl;
cout << "Adding Area Information (quite slow)" << endl;
double ghost_maxrap = 5.0; // e.g. if particles go up to y=5
AreaDefinition area_def(active_area_explicit_ghosts, GhostedAreaSpec(ghost_maxrap));
// Defining cluster sequences with area
ClusterSequenceArea njet_seq_area2(input_particles, njet_jetDef2, area_def);
ClusterSequenceArea njet_seq_area3(input_particles, njet_jetDef3, area_def);
ClusterSequenceArea njet_seq_area4(input_particles, njet_jetDef4, area_def);
vector<PseudoJet> njet_jets_area2 = njet_seq_area2.inclusive_jets();
vector<PseudoJet> njet_jets_area3 = njet_seq_area3.inclusive_jets();
vector<PseudoJet> njet_jets_area4 = njet_seq_area4.inclusive_jets();
PrintJets(njet_jets_area2);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintJets(njet_jets_area3);
cout << "- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -" << endl;
PrintJets(njet_jets_area4);
}
}
}
cout << "-----------------------------------------------------------------------------------------------" << endl;
cout << "Done Using N-jettiness as a Jet Algorithm" << endl;
cout << "-----------------------------------------------------------------------------------------------" << endl;
// Below are timing tests for the developers
double do_timing_test = false;
if (do_timing_test) {
clock_t clock_begin, clock_end;
double num_iter;
cout << setprecision(6);
num_iter = 1000;
double R0 = 0.5;
double beta = 2.0;
double N = 6;
// AKT
JetDefinition aktDef = JetDefinition(antikt_algorithm,R0,E_scheme,Best);
// XC
XConePlugin xconePlugin(N, R0, beta);
JetDefinition xconeDef = JetDefinition(&xconePlugin);
// pXC
PseudoXConePlugin pseudoxconePlugin(N, R0, beta);
JetDefinition pseudoxconeDef = JetDefinition(&pseudoxconePlugin);
//AKT
cout << "Timing for " << aktDef.description() << endl;
clock_begin = clock();
for (int t = 0; t < num_iter; t++) {
ClusterSequence clust_seq(input_particles,aktDef);
clust_seq.inclusive_jets();
}
clock_end = clock();
cout << (clock_end-clock_begin)/double(CLOCKS_PER_SEC*num_iter)*1000 << " ms per AKT"<< endl;
// XC
cout << "Timing for " << xconeDef.description() << endl;
clock_begin = clock();
for (int t = 0; t < num_iter; t++) {
ClusterSequence clust_seq(input_particles,xconeDef);
clust_seq.inclusive_jets();
}
clock_end = clock();
cout << (clock_end-clock_begin)/double(CLOCKS_PER_SEC*num_iter)*1000 << " ms per XCone"<< endl;
// pXC
cout << "Timing for " << pseudoxconePlugin.description() << endl;
clock_begin = clock();
for (int t = 0; t < num_iter; t++) {
ClusterSequence clust_seq(input_particles,pseudoxconeDef);
clust_seq.inclusive_jets();
}
clock_end = clock();
cout << (clock_end-clock_begin)/double(CLOCKS_PER_SEC*num_iter)*1000 << " ms per PseudoXCone"<< endl;
}
}
void PrintJets(const vector <PseudoJet>& jets, bool commentOut) {
string commentStr = "";
if (commentOut) commentStr = "#";
// gets extras information
if (jets.size() == 0) return;
const NjettinessExtras * extras = njettiness_extras(jets[0]);
// bool useExtras = true;
bool useExtras = (extras != NULL);
bool useArea = jets[0].has_area();
bool useConstit = jets[0].has_constituents();
// define nice tauN header
int N = jets.size();
stringstream ss(""); ss << "tau" << N; string tauName = ss.str();
cout << fixed << right;
cout << commentStr << setw(5) << "jet #" << " "
<< setw(10) << "rap"
<< setw(10) << "phi"
<< setw(11) << "pt"
<< setw(11) << "m"
<< setw(11) << "e";
if (useConstit) cout << setw(11) << "constit";
if (useExtras) cout << setw(14) << tauName;
if (useArea) cout << setw(10) << "area";
cout << endl;
fastjet::PseudoJet total(0,0,0,0);
int total_constit = 0;
// print out individual jet information
for (unsigned i = 0; i < jets.size(); i++) {
cout << commentStr << setw(5) << i+1 << " "
<< setprecision(4) << setw(10) << jets[i].rap()
<< setprecision(4) << setw(10) << jets[i].phi()
<< setprecision(4) << setw(11) << jets[i].perp()
<< setprecision(4) << setw(11) << max(jets[i].m(),0.0) // needed to fix -0.0 issue on some compilers.
<< setprecision(4) << setw(11) << jets[i].e();
if (useConstit) cout << setprecision(4) << setw(11) << jets[i].constituents().size();
if (useExtras) cout << setprecision(6) << setw(14) << max(extras->subTau(jets[i]),0.0);
if (useArea) cout << setprecision(4) << setw(10) << (jets[i].has_area() ? jets[i].area() : 0.0 );
cout << endl;
total += jets[i];
if (useConstit) total_constit += jets[i].constituents().size();
}
// print out total jet
if (useExtras) {
double beamTau = extras->beamTau();
if (beamTau > 0.0) {
cout << commentStr << setw(5) << " beam" << " "
<< setw(10) << ""
<< setw(10) << ""
<< setw(11) << ""
<< setw(11) << ""
<< setw(11) << ""
<< setw(11) << ""
<< setw(14) << setprecision(6) << beamTau
<< endl;
}
cout << commentStr << setw(5) << "total" << " "
<< setprecision(4) << setw(10) << total.rap()
<< setprecision(4) << setw(10) << total.phi()
<< setprecision(4) << setw(11) << total.perp()
<< setprecision(4) << setw(11) << max(total.m(),0.0) // needed to fix -0.0 issue on some compilers.
<< setprecision(4) << setw(11) << total.e();
if (useConstit) cout << setprecision(4) << setw(11) << total_constit;
if (useExtras) cout << setprecision(6) << setw(14) << extras->totalTau();
if (useArea) cout << setprecision(4) << setw(10) << (total.has_area() ? total.area() : 0.0);
cout << endl;
}
}
void PrintAxes(const vector <PseudoJet>& jets, bool commentOut) {
string commentStr = "";
if (commentOut) commentStr = "#";
// gets extras information
if (jets.size() == 0) return;
const NjettinessExtras * extras = njettiness_extras(jets[0]);
// bool useExtras = true;
bool useExtras = (extras != NULL);
bool useArea = jets[0].has_area();
// define nice tauN header
int N = jets.size();
stringstream ss(""); ss << "tau" << N; string tauName = ss.str();
cout << fixed << right;
cout << commentStr << setw(5) << "jet #" << " "
<< setw(10) << "rap"
<< setw(10) << "phi"
<< setw(11) << "pt"
<< setw(11) << "m"
<< setw(11) << "e";
if (useExtras) cout << setw(14) << tauName;
if (useArea) cout << setw(10) << "area";
cout << endl;
fastjet::PseudoJet total(0,0,0,0);
// print out individual jet information
for (unsigned i = 0; i < jets.size(); i++) {
cout << commentStr << setw(5) << i+1 << " "
<< setprecision(4) << setw(10) << jets[i].rap()
<< setprecision(4) << setw(10) << jets[i].phi()
<< setprecision(4) << setw(11) << jets[i].perp()
<< setprecision(4) << setw(11) << max(jets[i].m(),0.0) // needed to fix -0.0 issue on some compilers.
<< setprecision(4) << setw(11) << jets[i].e();
if (useExtras) cout << setprecision(6) << setw(14) << max(extras->subTau(jets[i]),0.0);
if (useArea) cout << setprecision(4) << setw(10) << (jets[i].has_area() ? jets[i].area() : 0.0 );
cout << endl;
total += jets[i];
}
// print out total jet
if (useExtras) {
double beamTau = extras->beamTau();
if (beamTau > 0.0) {
cout << commentStr << setw(5) << " beam" << " "
<< setw(10) << ""
<< setw(10) << ""
<< setw(11) << ""
<< setw(11) << ""
<< setw(11) << ""
<< setw(14) << setprecision(6) << beamTau
<< endl;
}
cout << commentStr << setw(5) << "total" << " "
<< setprecision(4) << setw(10) << total.rap()
<< setprecision(4) << setw(10) << total.phi()
<< setprecision(4) << setw(11) << total.perp()
<< setprecision(4) << setw(11) << max(total.m(),0.0) // needed to fix -0.0 issue on some compilers.
<< setprecision(4) << setw(11) << total.e()
<< setprecision(6) << setw(14) << extras->totalTau();
if (useArea) cout << setprecision(4) << setw(10) << (total.has_area() ? total.area() : 0.0);
cout << endl;
}
}
void PrintJetsWithComponents(const vector <PseudoJet>& jets, bool commentOut) {
string commentStr = "";
if (commentOut) commentStr = "#";
bool useArea = jets[0].has_area();
// define nice tauN header
int N = jets.size();
stringstream ss(""); ss << "tau" << N; string tauName = ss.str();
cout << fixed << right;
cout << commentStr << setw(5) << "jet #" << " "
<< setw(10) << "rap"
<< setw(10) << "phi"
<< setw(11) << "pt"
<< setw(11) << "m"
<< setw(11) << "e";
if (jets[0].has_constituents()) cout << setw(11) << "constit";
cout << setw(14) << tauName;
if (useArea) cout << setw(10) << "area";
cout << endl;
fastjet::PseudoJet total(0,0,0,0);
double total_tau = 0;
int total_constit = 0;
// print out individual jet information
for (unsigned i = 0; i < jets.size(); i++) {
double thisTau = jets[i].structure_of<TauComponents>().tau();
cout << commentStr << setw(5) << i+1 << " "
<< setprecision(4) << setw(10) << jets[i].rap()
<< setprecision(4) << setw(10) << jets[i].phi()
<< setprecision(4) << setw(11) << jets[i].perp()
<< setprecision(4) << setw(11) << max(jets[i].m(),0.0) // needed to fix -0.0 issue on some compilers.
<< setprecision(4) << setw(11) << jets[i].e();
if (jets[i].has_constituents()) cout << setprecision(4) << setw(11) << jets[i].constituents().size();
cout << setprecision(6) << setw(14) << max(thisTau,0.0);
if (useArea) cout << setprecision(4) << setw(10) << (jets[i].has_area() ? jets[i].area() : 0.0 );
cout << endl;
total += jets[i];
total_tau += thisTau;
if (jets[i].has_constituents()) total_constit += jets[i].constituents().size();
}
cout << commentStr << setw(5) << "total" << " "
<< setprecision(4) << setw(10) << total.rap()
<< setprecision(4) << setw(10) << total.phi()
<< setprecision(4) << setw(11) << total.perp()
<< setprecision(4) << setw(11) << max(total.m(),0.0) // needed to fix -0.0 issue on some compilers.
<< setprecision(4) << setw(11) << total.e();
if (jets[0].has_constituents()) cout << setprecision(4) << setw(11) << total_constit;
cout << setprecision(6) << setw(14) << total_tau;
if (useArea) cout << setprecision(4) << setw(10) << (total.has_area() ? total.area() : 0.0);
cout << endl;
}
Index: contrib/contribs/Nsubjettiness/trunk/VERSION
===================================================================
--- contrib/contribs/Nsubjettiness/trunk/VERSION (revision 1410)
+++ contrib/contribs/Nsubjettiness/trunk/VERSION (revision 1411)
@@ -1 +1 @@
-2.3.1
\ No newline at end of file
+2.3.2
\ No newline at end of file

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