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diff --git a/config.yml b/config.yml
index 508fcb1..8288cea 100644
--- a/config.yml
+++ b/config.yml
@@ -1,90 +1,89 @@
# number of attempted resummation phase space points for each input event
trials: 10
min extparton pt: 30 # minimum transverse momentum of extremal partons
# maximum soft transverse momentum fraction in extremal jets
#
# max ext soft pt fraction: 0.1
resummation jets: # resummation jet properties
min pt: 35 # minimum jet transverse momentum
algorithm: antikt # jet clustering algorithm
R: 0.4 # jet R parameter
fixed order jets: # properties of input jets
min pt: 30
# by default, algorithm and R are like for resummation jets
# treatment of he various event classes
# the supported settings are: reweight, keep, discard
# non-HEJ events cannot be reweighted
FKL: reweight
unordered: keep
non-HEJ: keep
# central scale choice or choices
#
# scales: [125, max jet pperp, H_T/2, 2*jet invariant mass, m_j1j2]
scales: 91.188
# factors by which the central scales should be multiplied
# renormalisation and factorisation scales are varied independently
#
# scale factors: [0.5, 0.7071, 1, 1.41421, 2]
# maximum ratio between renormalisation and factorisation scale
#
# max scale ratio: 2.0001
# import scale setting functions
#
# import scales:
# lib_my_scales.so: [scale0,scale1]
log correction: false # whether or not to include higher order logs
-unweight: false # TODO: whether or not to unweight events
# event output files
#
# the supported formats are
# - Les Houches (suffix .lhe)
# - HepMC (suffix .hepmc3)
# TODO: - ROOT ntuples (suffix .root)
#
# An output file's format is deduced either automatically from the suffix
# or from an explicit specification, e.g.
# - Les Houches: outfile
event output:
- HEJ.lhe
# - HEJ_events.hepmc
# to use a rivet analysis
#
# analysis:
# rivet: MC_XS # rivet analysis name
# output: HEJ # name of the yoda files, ".yoda" and scale suffix will be added
#
# to use a custom analysis
#
# analysis:
# plugin: /path/to/libmyanalysis.so
# my analysis parameter: some value
# selection of random number generator and seed
# the choices are
# - mixmax (seed is an integer)
# - ranlux64 (seed is a filename containing parameters)
random generator:
name: mixmax
# seed: 1
# parameters for Higgs-gluon couplings
# this requires compilation with qcdloop
#
# Higgs coupling:
# use impact factors: false
# mt: 174
# include bottom: true
# mb: 4.7
diff --git a/doc/sphinx/HEJ.rst b/doc/sphinx/HEJ.rst
index b36f709..5beb42e 100644
--- a/doc/sphinx/HEJ.rst
+++ b/doc/sphinx/HEJ.rst
@@ -1,281 +1,279 @@
.. _`Running HEJ 2`:
Running HEJ 2
=============
Quick start
-----------
In order to run HEJ 2, you need a configuration file and a file
containing fixed-order events. A sample configuration is given by the
:file:`config.yml` file distributed together with HEJ 2. Events
in the Les Houches Event File format can be generated with standard
Monte Carlo generators like `MadGraph5_aMC@NLO
<https://launchpad.net/mg5amcnlo>`_ or `Sherpa
<https://sherpa.hepforge.org/trac/wiki>`_. HEJ 2 assumes that the
cross section is given by the sum of the event weights. Depending on the
fixed-order generator it may be necessary to adjust the weights in the
Les Houches Event File accordingly.
The processes supported by HEJ 2 are
- Pure multijet production
- Production of a Higgs boson with jets
..
- *TODO* Production of a W boson with jets
- *TODO* Production of a Z boson or photon with jets
where at least two jets are required in each case. For the time being,
only leading-order events are supported.
After generating an event file :file:`events.lhe` adjust the parameters
under the `fixed order jets`_ setting in :file:`config.yml` to the
settings in the fixed-order generation. Resummation can then be added by
running::
HEJ config.yml events.lhe
Using the default settings, this will produce an output event file
:file:`HEJ.lhe` with events including high-energy resummation.
.. _`HEJ 2 settings`:
Settings
--------
HEJ 2 configuration files follow the `YAML <http://yaml.org/>`_
format. The following configuration parameters are supported:
.. _`trials`:
**trials**
High-energy resummation is performed by generating a number of
resummation phase space configurations corresponding to the input
fixed-order event. This parameter specifies how many such
configurations HEJ 2 should try to generate for each input
event. Typical values vary between 10 and 100.
.. _`min extparton pt`:
**min extparton pt**
Specifies the minimum transverse momentum in GeV of the most forward
and the most backward parton. This setting is needed to regulate an
otherwise uncancelled divergence. Its value should be slightly below
the minimum transverse momentum of jets specified by `resummation
jets: min pt`_. See also the `max ext soft pt fraction`_ setting.
.. _`max ext soft pt fraction`:
**max ext soft pt fraction**
Specifies the maximum fraction that soft radiation can contribute to
the transverse momentum of each the most forward and the most backward
jet. Values between around 0.05 and 0.1 are recommended. See also the
`min extparton pt`_ setting.
.. _`fixed order jets`:
**fixed order jets**
This tag collects a number of settings specifying the jet definition
in the event input. The settings should correspond to the ones used in
the fixed-order Monte Carlo that generated the input events.
.. _`fixed order jets: min pt`:
**min pt**
Minimum transverse momentum in GeV of fixed-order jets.
.. _`fixed order jets: algorithm`:
**algorithm**
The algorithm used to define jets. Allowed settings are
:code:`kt`, :code:`cambridge`, :code:`antikt`,
:code:`cambridge for passive`. See the `FastJet
<http://fastjet.fr/>`_ documentation for a description of these
algorithms.
.. _`fixed order jets: R`:
**R**
The R parameter used in the jet algorithm, roughly corresponding
to the jet radius in the plane spanned by the rapidity and the
azimuthal angle.
.. _`resummation jets`:
**resummation jets**
This tag collects a number of settings specifying the jet definition
in the observed, i.e. resummed events. These settings are optional, by
default the same values as for the `fixed order jets`_ are assumed.
.. _`resummation jets: min pt`:
**min pt**
Minimum transverse momentum in GeV of resummation jets. This
should be between 25% and 50% larger than the minimum transverse
momentum of fixed order jets set by `fixed order jets: min pt`_.
.. _`resummation jets: algorithm`:
**algorithm**
The algorithm used to define jets. The HEJ 2 approach to
resummation relies on properties of :code:`antikt` jets, so this
value is strongly recommended. For a list of possible other
values, see the `fixed order jets: algorithm`_ setting.
.. _`resummation jets: R`:
**R**
The R parameter used in the jet algorithm.
.. _`FKL`:
**FKL**
Specifies how to treat FKL events. The possible values are
:code:`reweight` to enable resummation, :code:`keep` to keep the
events as they are up to a possible change of renormalisation and
factorisation scale, and :code:`discard` to discard these events.
.. _`unordered`:
**unordered**
Specifies how to treat events with one emission that does not respect
FKL ordering. The possible values are the same as for the `FKL`_
setting, but :code:`reweight` may not be supported for all process
types.
.. _`non-HEJ`:
**non-HEJ**
Specifies how to treat events where no resummation is possible. The
allowed values are :code:`keep` to keep the events as they are up to
a possible change of renormalisation and factorisation scale and
:code:`discard` to discard these events.
.. _`scales`:
**scales**
Specifies the renormalisation and factorisation scales for the output
events. This can either be a single entry or a list :code:`[scale1,
scale2, ...]`. For the case of a list the first entry defines the
central scale. Possible values are fixed numbers to set the scale in
GeV or the following:
- :code:`H_T`: The sum of the scalar transverse momenta of all
final-state particles
- :code:`max jet pperp`: The maximum transverse momentum of all jets
- :code:`jet invariant mass`: Sum of the invariant masses of all jets
- :code:`m_j1j2`: Invariant mass between the two hardest jets.
Scales can be multiplied or divided by an overall factor,
e.g. :code:`H_T/2`.
It is also possible to import scales from an external library, see
:ref:`Custom scales`
.. _`scale factors`:
**scale factors**
A list of numeric factors by which each of the `scales`_ should be
multiplied. Renormalisation and factorisation scales are varied
independently. For example, a list with entries :code:`[0.5, 2]`
would give the four scale choices (0.5μ\ :sub:`r`, 0.5μ\ :sub:`f`);
(0.5μ\ :sub:`r`, 2μ\ :sub:`f`); (2μ\ :sub:`r`, 0.5μ\ :sub:`f`); (2μ\
:sub:`r`, 2μ\ :sub:`f`) in this order. The ordering corresponds to
the order of the final event weights.
.. _`max scale ratio`:
**max scale ratio**
Specifies the maximum factor by which renormalisation and
factorisation scales may difer. For a value of :code:`2` and the
example given for the `scale factors`_ the scale choices
(0.5μ\ :sub:`r`, 2μ\ :sub:`f`) and (2μ\ :sub:`r`, 0.5μ\ :sub:`f`)
will be discarded.
.. _`log correction`:
**log correction**
Whether to include corrections due to the evolution of the strong
coupling constant in the virtual corrections. Allowed values are
:code:`true` and :code:`false`.
-.. TODO: unweight
-
.. _`event output`:
**event output**
Specifies the name of a single event output file or a list of such
files. The file format is either specified explicitly or derived from
the suffix. For example, :code:`events.lhe` or, equivalently
:code:`Les Houches: events.lhe` generates an output event file
:code:`events.lhe` in the Les Houches format. The supported formats
are
- :code:`file.lhe` or :code:`Les Houches: file`: The Les Houches
event file format.
- :code:`file.hepmc` or :code:`HepMC: file`: The HepMC format.
.. _`random generator`:
**random generator**
Sets parameters for random number generation.
.. _`random generator: name`:
**name**
Which random number generator to use. Currently, :code:`mixmax`
and :code:`ranlux64` are implemented. Mixmax is recommended. See
the `CLHEP documentation
<http://proj-clhep.web.cern.ch/proj-clhep/index.html#docu>`_ for
details on the generators.
.. _`random generator: seed`:
**seed**
The seed for random generation. This should be a single number for
:code:`mixmax` and the name of a state file for :code:`ranlux64`.
.. _`analysis`:
**analysis**
Name and Setting for the event analyses; either a custom
analysis plugin or Rivet. For the first the :code:`plugin` sub-entry
should be set to the analysis file path. All further entries are passed on
to the analysis. To use Rivet a list of Rivet analyses have to be
given in :code:`rivet` and prefix for the yoda file has to be set
through :code:`output`. See :ref:`Writing custom analyses` for details.
.. _`Higgs coupling`:
**Higgs coupling**
This collects a number of settings concerning the effective coupling
of the Higgs boson to gluons. This is only relevant for the
production process of a Higgs boson with jets and only supported if
HEJ 2 was compiled with `QCDLoop
<https://github.com/scarrazza/qcdloop>`_ support.
.. _`Higgs coupling: use impact factors`:
**use impact factors**
Whether to use impact factors for the coupling to the most forward
and most backward partons. Impact factors imply the infinite
top-quark mass limit.
.. _`Higgs coupling: mt`:
**mt**
The value of the top-quark mass in GeV. If this is not specified,
the limit of an infinite mass is taken.
.. _`Higgs coupling: include bottom`:
**include bottom**
Whether to include the Higgs coupling to bottom quarks.
.. _`Higgs coupling: mb`:
**mb**
The value of the bottom-quark mass in GeV. Only used for the Higgs
coupling, external bottom-quarks are always assumed to be massless.
diff --git a/include/HEJ/config.hh b/include/HEJ/config.hh
index 7c51c05..962bfa6 100644
--- a/include/HEJ/config.hh
+++ b/include/HEJ/config.hh
@@ -1,173 +1,171 @@
/** \file
* \brief HEJ 2 configuration parameters
*/
#pragma once
#include <string>
#include <memory>
#include "fastjet/JetDefinition.hh"
#include "yaml-cpp/yaml.h"
#include "HEJ/event_types.hh"
#include "HEJ/Event.hh"
#include "HEJ/HiggsCouplingSettings.hh"
#include "HEJ/optional.hh"
#include "HEJ/output_formats.hh"
#include "HEJ/ScaleFunction.hh"
#include "HEJ/utility.hh"
namespace HEJ{
//! Jet parameters
struct JetParameters{
fastjet::JetDefinition def; /**< Jet Definition */
double min_pt; /**< Minimum Jet Transverse Momentum */
};
//! Settings for scale variation
struct ScaleConfig{
//! Base scale choices
std::vector<ScaleFunction> base;
//! Factors for multiplicative scale variation
std::vector<double> factors;
//! Maximum ratio between renormalisation and factorisation scale
double max_ratio;
};
//! Settings for random number generator
struct RNGConfig {
//! Random number generator name
std::string name;
//! Optional initial seed
optional<std::string> seed;
};
/**! Possible treatments for fixed-order input events.
*
* The program will decide on how to treat an event based on
* the value of this enumeration.
*/
enum class EventTreatment{
reweight, /**< Perform resummation */
keep, /**< Keep the event */
discard, /**< Discard the event */
};
//! Container to store the treatments for various event types
using EventTreatMap = std::map<event_type::EventType, EventTreatment>;
/**! Input parameters.
*
* This struct handles stores all configuration parameters
* needed in a HEJ 2 run.
*
* \internal To add a new option:
* 1. Add a member to the Config struct.
* 2. Inside "src/YAMLreader.cc":
* - Add the option name to the "supported" Node in
* get_supported_options.
* - Initialise the new Config member in to_Config.
* The functions set_from_yaml (for mandatory options) and
* set_from_yaml_if_defined (non-mandatory) may be helpful.
* 3. Add a new entry (with short description) to config.yaml
* 4. Update the user documentation in "doc/Sphinx/"
*/
struct Config {
//! Parameters for scale variation
ScaleConfig scales;
//! Resummation jet properties
JetParameters resummation_jets;
//! Fixed-order jet properties
JetParameters fixed_order_jets;
//! Minimum transverse momentum for extremal partons
double min_extparton_pt;
//! Maximum transverse momentum fraction from soft radiation in extremal jets
double max_ext_soft_pt_fraction;
//! Number of resummation configurations to generate per fixed-order event
int trials;
//! Whether to include the logarithmic correction from \f$\alpha_s\f$ running
bool log_correction;
- //! Whether to perform unweighting
- bool unweight;
//! Event output files names and formats
std::vector<OutputFile> output;
//! Parameters for random number generation
RNGConfig rng;
//! Map to decide what to do for different event types
EventTreatMap treat;
//! Parameters for custom analyses
YAML::Node analysis_parameters;
//! Settings for effective Higgs-gluon coupling
HiggsCouplingSettings Higgs_coupling;
};
//! Configuration options for the PhaseSpacePoint class
struct PhaseSpacePointConfig {
//! Properties of resummation jets
JetParameters jet_param;
//! Minimum transverse momentum for extremal partons
double min_extparton_pt;
//! Maximum transverse momentum fraction from soft radiation in extremal jets
double max_ext_soft_pt_fraction;
};
//! Configuration options for the MatrixElement class
struct MatrixElementConfig {
//! Whether to include the logarithmic correction from \f$\alpha_s\f$ running
bool log_correction;
//! Settings for effective Higgs-gluon coupling
HiggsCouplingSettings Higgs_coupling;
};
//! Configuration options for the EventReweighter class
struct EventReweighterConfig {
//! Settings for phase space point generation
PhaseSpacePointConfig psp_config;
//! Settings for matrix element calculation
MatrixElementConfig ME_config;
//! Properties of resummation jets
JetParameters jet_param;
//! Treatment of the various event types
EventTreatMap treat;
};
/**! Extract PhaseSpacePointConfig from Config
*
* \internal We do not provide a PhaseSpacePointConfig constructor from Config
* so that PhaseSpacePointConfig remains an aggregate.
* This faciliates writing client code (e.g. the HEJ fixed-order generator)
* that creates a PhaseSpacePointConfig *without* a Config object.
*
* @see to_MatrixElementConfig, to_EventReweighterConfig
*/
inline
PhaseSpacePointConfig to_PhaseSpacePointConfig(Config const & conf) {
return {conf.resummation_jets, conf.min_extparton_pt, conf.max_ext_soft_pt_fraction};
}
/**! Extract MatrixElementConfig from Config
*
* @see to_PhaseSpacePointConfig, to_EventReweighterConfig
*/
inline
MatrixElementConfig to_MatrixElementConfig(Config const & conf) {
return {conf.log_correction, conf.Higgs_coupling};
}
/**! Extract EventReweighterConfig from Config
*
* @see to_PhaseSpacePointConfig, to_MatrixElementConfig
*/
inline
EventReweighterConfig to_EventReweighterConfig(Config const & conf) {
return {
to_PhaseSpacePointConfig(conf),
to_MatrixElementConfig(conf),
conf.resummation_jets, conf.treat
};
}
} // namespace HEJ
diff --git a/src/YAMLreader.cc b/src/YAMLreader.cc
index 769edaf..608f010 100644
--- a/src/YAMLreader.cc
+++ b/src/YAMLreader.cc
@@ -1,458 +1,457 @@
#include "HEJ/YAMLreader.hh"
#include <set>
#include <string>
#include <vector>
#include <iostream>
#include <stdexcept>
#include <dlfcn.h>
namespace HEJ{
namespace{
//! Get YAML tree of supported options
/**
* The configuration file is checked against this tree of options
* in assert_all_options_known.
*/
YAML::Node const & get_supported_options(){
const static YAML::Node supported = [](){
YAML::Node supported;
static const auto opts = {
"trials", "min extparton pt", "max ext soft pt fraction",
"FKL", "unordered", "non-HEJ",
"scales", "scale factors", "max scale ratio", "import scales",
- "log correction", "unweight", "event output", "analysis"
+ "log correction", "event output", "analysis"
};
// add subnodes to "supported" - the assigned value is irrelevant
for(auto && opt: opts) supported[opt] = "";
for(auto && jet_opt: {"min pt", "algorithm", "R"}){
supported["resummation jets"][jet_opt] = "";
supported["fixed order jets"][jet_opt] = "";
}
for(auto && opt: {"mt", "use impact factors", "include bottom", "mb"}){
supported["Higgs coupling"][opt] = "";
}
for(auto && opt: {"name", "seed"}){
supported["random generator"][opt] = "";
}
return supported;
}();
return supported;
}
fastjet::JetAlgorithm to_JetAlgorithm(std::string const & algo){
using namespace fastjet;
static const std::map<std::string, fastjet::JetAlgorithm> known = {
{"kt", kt_algorithm},
{"cambridge", cambridge_algorithm},
{"antikt", antikt_algorithm},
{"cambridge for passive", cambridge_for_passive_algorithm},
{"plugin", plugin_algorithm}
};
const auto res = known.find(algo);
if(res == known.end()){
throw std::invalid_argument("Unknown jet algorithm " + algo);
}
return res->second;
}
EventTreatment to_EventTreatment(std::string const & name){
static const std::map<std::string, EventTreatment> known = {
{"reweight", EventTreatment::reweight},
{"keep", EventTreatment::keep},
{"discard", EventTreatment::discard}
};
const auto res = known.find(name);
if(res == known.end()){
throw std::invalid_argument("Unknown event treatment " + name);
}
return res->second;
}
} // namespace anonymous
namespace detail{
void set_from_yaml(fastjet::JetAlgorithm & setting, YAML::Node const & yaml){
setting = to_JetAlgorithm(yaml.as<std::string>());
}
void set_from_yaml(EventTreatment & setting, YAML::Node const & yaml){
setting = to_EventTreatment(yaml.as<std::string>());
}
void set_from_yaml(ParticleID & setting, YAML::Node const & yaml){
setting = to_ParticleID(yaml.as<std::string>());
}
} // namespace detail
JetParameters get_jet_parameters(
YAML::Node const & node,
std::string const & entry
){
assert(node);
JetParameters result;
fastjet::JetAlgorithm jet_algo = fastjet::antikt_algorithm;
double R;
set_from_yaml_if_defined(jet_algo, node, entry, "algorithm");
set_from_yaml(R, node, entry, "R");
result.def = fastjet::JetDefinition{jet_algo, R};
set_from_yaml(result.min_pt, node, entry, "min pt");
return result;
}
RNGConfig to_RNGConfig(
YAML::Node const & node,
std::string const & entry
){
assert(node);
RNGConfig result;
set_from_yaml(result.name, node, entry, "name");
set_from_yaml_if_defined(result.seed, node, entry, "seed");
return result;
}
HiggsCouplingSettings get_Higgs_coupling(
YAML::Node const & node,
std::string const & entry
){
assert(node);
static constexpr double mt_max = 2e4;
#ifndef HEJ_BUILD_WITH_QCDLOOP
if(node[entry]){
throw std::invalid_argument{
"Higgs coupling settings require building HEJ 2 "
"with QCDloop support"
};
}
#endif
HiggsCouplingSettings settings;
set_from_yaml_if_defined(settings.mt, node, entry, "mt");
set_from_yaml_if_defined(settings.mb, node, entry, "mb");
set_from_yaml_if_defined(settings.include_bottom, node, entry, "include bottom");
set_from_yaml_if_defined(settings.use_impact_factors, node, entry, "use impact factors");
if(settings.use_impact_factors){
if(settings.mt != std::numeric_limits<double>::infinity()){
throw std::invalid_argument{
"Conflicting settings: "
"impact factors may only be used in the infinite top mass limit"
};
}
}
else{
// huge values of the top mass are numerically unstable
settings.mt = std::min(settings.mt, mt_max);
}
return settings;
}
FileFormat to_FileFormat(std::string const & name){
static const std::map<std::string, FileFormat> known = {
{"Les Houches", FileFormat::Les_Houches},
{"HepMC", FileFormat::HepMC}
};
const auto res = known.find(name);
if(res == known.end()){
throw std::invalid_argument("Unknown file format " + name);
}
return res->second;
}
std::string extract_suffix(std::string const & filename){
size_t separator = filename.rfind('.');
if(separator == filename.npos) return {};
return filename.substr(separator + 1);
}
FileFormat format_from_suffix(std::string const & filename){
const std::string suffix = extract_suffix(filename);
if(suffix == "lhe") return FileFormat::Les_Houches;
if(suffix == "hepmc") return FileFormat::HepMC;
throw std::invalid_argument{
"Can't determine format for output file " + filename
};
}
void assert_all_options_known(
YAML::Node const & conf, YAML::Node const & supported
){
if(!conf.IsMap()) return;
if(!supported.IsMap()) throw invalid_type{"must not have sub-entries"};
for(auto const & entry: conf){
const auto name = entry.first.as<std::string>();
if(! supported[name]) throw unknown_option{name};
/* check sub-options, e.g. 'resummation jets: min pt'
* we don't check analysis sub-options
* those depend on the analysis being used and should be checked there
* similar for "import scales"
*/
if(name != "analysis" && name != "import scales"){
try{
assert_all_options_known(conf[name], supported[name]);
}
catch(unknown_option const & ex){
throw unknown_option{name + ": " + ex.what()};
}
catch(invalid_type const & ex){
throw invalid_type{name + ": " + ex.what()};
}
}
}
}
} // namespace HEJ
namespace YAML {
Node convert<HEJ::OutputFile>::encode(HEJ::OutputFile const & outfile) {
Node node;
node[to_string(outfile.format)] = outfile.name;
return node;
};
bool convert<HEJ::OutputFile>::decode(Node const & node, HEJ::OutputFile & out) {
switch(node.Type()){
case NodeType::Map: {
YAML::const_iterator it = node.begin();
out.format = HEJ::to_FileFormat(it->first.as<std::string>());
out.name = it->second.as<std::string>();
return true;
}
case NodeType::Scalar:
out.name = node.as<std::string>();
out.format = HEJ::format_from_suffix(out.name);
return true;
default:
return false;
}
}
} // namespace YAML
namespace HEJ{
namespace detail{
void set_from_yaml(OutputFile & setting, YAML::Node const & yaml){
setting = yaml.as<OutputFile>();
}
}
namespace{
void update_fixed_order_jet_parameters(
JetParameters & fixed_order_jets, YAML::Node const & yaml
){
if(!yaml["fixed order jets"]) return;
set_from_yaml_if_defined(
fixed_order_jets.min_pt, yaml, "fixed order jets", "min pt"
);
fastjet::JetAlgorithm algo = fixed_order_jets.def.jet_algorithm();
set_from_yaml_if_defined(algo, yaml, "fixed order jets", "algorithm");
double R = fixed_order_jets.def.R();
set_from_yaml_if_defined(R, yaml, "fixed order jets", "R");
fixed_order_jets.def = fastjet::JetDefinition{algo, R};
}
// like std::stod, but throw if not the whole string can be converted
double to_double(std::string const & str){
std::size_t pos;
const double result = std::stod(str, &pos);
if(pos < str.size()){
throw std::invalid_argument(str + " is not a valid double value");
}
return result;
}
using EventScale = double (*)(Event const &);
void import_scale_functions(
std::string const & file,
std::vector<std::string> const & scale_names,
std::unordered_map<std::string, EventScale> & known
) {
auto handle = dlopen(file.c_str(), RTLD_NOW);
char * error = dlerror();
if(error != nullptr) throw std::runtime_error{error};
for(auto const & scale: scale_names) {
void * sym = dlsym(handle, scale.c_str());
error = dlerror();
if(error != nullptr) throw std::runtime_error{error};
known.emplace(scale, reinterpret_cast<EventScale>(sym));
}
}
auto get_scale_map(
YAML::Node const & yaml
) {
std::unordered_map<std::string, EventScale> scale_map;
scale_map.emplace("H_T", H_T);
scale_map.emplace("max jet pperp", max_jet_pt);
scale_map.emplace("jet invariant mass", jet_invariant_mass);
scale_map.emplace("m_j1j2", m_j1j2);
if(yaml["import scales"]) {
if(! yaml["import scales"].IsMap()) {
throw invalid_type{"Entry 'import scales' is not a map"};
}
for(auto const & import: yaml["import scales"]) {
const auto file = import.first.as<std::string>();
const auto scale_names =
import.second.IsSequence()
?import.second.as<std::vector<std::string>>()
:std::vector<std::string>{import.second.as<std::string>()};
import_scale_functions(file, scale_names, scale_map);
}
}
return scale_map;
}
// simple (as in non-composite) scale functions
/**
* An example for a simple scale function would be H_T,
* H_T/2 is then composite (take H_T and then divide by 2)
*/
ScaleFunction parse_simple_ScaleFunction(
std::string const & scale_fun,
std::unordered_map<std::string, EventScale> const & known
) {
assert(
scale_fun.empty() ||
(!std::isspace(scale_fun.front()) && !std::isspace(scale_fun.back()))
);
const auto it = known.find(scale_fun);
if(it != end(known)) return {it->first, it->second};
try{
const double scale = to_double(scale_fun);
return {scale_fun, FixedScale{scale}};
} catch(std::invalid_argument const &){}
throw std::invalid_argument{"Unknown scale choice: " + scale_fun};
}
std::string trim_front(std::string const & str){
const auto new_begin = std::find_if(
begin(str), end(str), [](char c){ return ! std::isspace(c); }
);
return std::string(new_begin, end(str));
}
std::string trim_back(std::string str){
size_t pos = str.size() - 1;
// use guaranteed wrap-around behaviour to check whether we have
// traversed the whole string
for(; pos < str.size() && std::isspace(str[pos]); --pos) {}
str.resize(pos + 1); // note that pos + 1 can be 0
return str;
}
ScaleFunction parse_ScaleFunction(
std::string const & scale_fun,
std::unordered_map<std::string, EventScale> const & known
){
assert(
scale_fun.empty() ||
(!std::isspace(scale_fun.front()) && !std::isspace(scale_fun.back()))
);
const size_t delim = scale_fun.find_first_of("*/");
if(delim == scale_fun.npos){
return parse_simple_ScaleFunction(scale_fun, known);
}
const std::string first = trim_back(std::string{scale_fun, 0, delim});
const std::string second = trim_front(std::string{scale_fun, delim+1});
if(scale_fun[delim] == '/'){
return parse_simple_ScaleFunction(first, known)/to_double(second);
}
else{
assert(scale_fun[delim] == '*');
try{
const double factor = to_double(second);
return factor*parse_simple_ScaleFunction(first, known);
}
catch(std::invalid_argument const &){
const double factor = to_double(first);
return factor*parse_simple_ScaleFunction(first, known);
}
}
}
EventTreatMap get_event_treatment(
YAML::Node const & yaml
){
using namespace event_type;
EventTreatMap treat {
{no_2_jets, EventTreatment::discard},
{bad_final_state, EventTreatment::discard},
{FKL, EventTreatment::reweight},
{unob, EventTreatment::keep},
{unof, EventTreatment::keep},
{nonHEJ, EventTreatment::keep}
};
set_from_yaml(treat.at(FKL), yaml, "FKL");
set_from_yaml(treat.at(unob), yaml, "unordered");
treat.at(unof) = treat.at(unob);
set_from_yaml(treat.at(nonHEJ), yaml, "non-HEJ");
if(treat[nonHEJ] == EventTreatment::reweight){
throw std::invalid_argument{"Cannot reweight non-HEJ events"};
}
return treat;
}
Config to_Config(YAML::Node const & yaml){
try{
assert_all_options_known(yaml, get_supported_options());
}
catch(unknown_option const & ex){
throw unknown_option{std::string{"Unknown option '"} + ex.what() + "'"};
}
Config config;
config.resummation_jets = get_jet_parameters(yaml, "resummation jets");
config.fixed_order_jets = config.resummation_jets;
update_fixed_order_jet_parameters(config.fixed_order_jets, yaml);
set_from_yaml(config.min_extparton_pt, yaml, "min extparton pt");
config.max_ext_soft_pt_fraction = std::numeric_limits<double>::infinity();
set_from_yaml_if_defined(
config.max_ext_soft_pt_fraction, yaml, "max ext soft pt fraction"
);
set_from_yaml(config.trials, yaml, "trials");
set_from_yaml(config.log_correction, yaml, "log correction");
- set_from_yaml(config.unweight, yaml, "unweight");
config.treat = get_event_treatment(yaml);
set_from_yaml_if_defined(config.output, yaml, "event output");
config.rng = to_RNGConfig(yaml, "random generator");
set_from_yaml_if_defined(config.analysis_parameters, yaml, "analysis");
config.scales = to_ScaleConfig(yaml);
config.Higgs_coupling = get_Higgs_coupling(yaml, "Higgs coupling");
return config;
}
} // namespace anonymous
ScaleConfig to_ScaleConfig(YAML::Node const & yaml){
ScaleConfig config;
auto scale_funs = get_scale_map(yaml);
std::vector<std::string> scales;
set_from_yaml(scales, yaml, "scales");
config.base.reserve(scales.size());
std::transform(
begin(scales), end(scales), std::back_inserter(config.base),
[scale_funs](auto const & entry){
return parse_ScaleFunction(entry, scale_funs);
}
);
set_from_yaml_if_defined(config.factors, yaml, "scale factors");
config.max_ratio = std::numeric_limits<double>::infinity();
set_from_yaml_if_defined(config.max_ratio, yaml, "max scale ratio");
return config;
}
Config load_config(std::string const & config_file){
try{
return to_Config(YAML::LoadFile(config_file));
}
catch(...){
std::cerr << "Error reading " << config_file << ":\n ";
throw;
}
}
} // namespace HEJ
diff --git a/t/ME_data/config_mt.yml b/t/ME_data/config_mt.yml
index 4656032..5a73374 100644
--- a/t/ME_data/config_mt.yml
+++ b/t/ME_data/config_mt.yml
@@ -1,29 +1,28 @@
trials: 1
min extparton pt: 30
resummation jets:
min pt: 30
algorithm: antikt
R: 0.4
fixed order jets:
min pt: 30
FKL: reweight
unordered: reweight
non-HEJ: discard
scales: 125
log correction: false
-unweight: false
random generator:
name: mixmax
seed: 1
Higgs coupling:
use impact factors: false
mt: 174
include bottom: false
diff --git a/t/ME_data/config_mtinf.yml b/t/ME_data/config_mtinf.yml
index 0dbc0c1..a7c71b6 100644
--- a/t/ME_data/config_mtinf.yml
+++ b/t/ME_data/config_mtinf.yml
@@ -1,24 +1,23 @@
trials: 1
min extparton pt: 30
resummation jets:
min pt: 30
algorithm: antikt
R: 0.4
fixed order jets:
min pt: 30
FKL: reweight
unordered: reweight
non-HEJ: discard
scales: 125
log correction: false
-unweight: false
random generator:
name: mixmax
seed: 1
diff --git a/t/ME_data/config_mtmb.yml b/t/ME_data/config_mtmb.yml
index d2c5d7b..c23cb8c 100644
--- a/t/ME_data/config_mtmb.yml
+++ b/t/ME_data/config_mtmb.yml
@@ -1,30 +1,29 @@
trials: 1
min extparton pt: 30
resummation jets:
min pt: 30
algorithm: antikt
R: 0.4
fixed order jets:
min pt: 30
FKL: reweight
unordered: reweight
non-HEJ: discard
scales: 125
log correction: false
-unweight: false
random generator:
name: mixmax
seed: 1
Higgs coupling:
use impact factors: false
mt: 174
include bottom: true
mb: 4.7
diff --git a/t/jet_config.yml b/t/jet_config.yml
index ced0d0c..1c56c5c 100644
--- a/t/jet_config.yml
+++ b/t/jet_config.yml
@@ -1,26 +1,25 @@
trials: 10
min extparton pt: 30
resummation jets:
min pt: 35
algorithm: antikt
R: 0.4
fixed order jets:
min pt: 30
FKL: reweight
unordered: discard
non-HEJ: discard
log correction: false
-unweight: false
scales: 91.188
random generator:
name: ranlux64
event output:
- tst.lhe
diff --git a/t/jet_config_with_import.yml b/t/jet_config_with_import.yml
index 467f765..4ad014a 100644
--- a/t/jet_config_with_import.yml
+++ b/t/jet_config_with_import.yml
@@ -1,29 +1,28 @@
trials: 10
min extparton pt: 30
resummation jets:
min pt: 35
algorithm: antikt
R: 0.4
fixed order jets:
min pt: 30
FKL: reweight
unordered: discard
non-HEJ: discard
log correction: false
-unweight: false
scales: softest_jet_pt
event output:
- tst.lhe
random generator:
name: ranlux64
import scales:
./libscales.so: softest_jet_pt

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