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diff --git a/include/HEJ/ScaleFunction.hh b/include/HEJ/ScaleFunction.hh
index 5132a4e..42c2c99 100644
--- a/include/HEJ/ScaleFunction.hh
+++ b/include/HEJ/ScaleFunction.hh
@@ -1,160 +1,174 @@
/** \file
* \brief Functions to calculate the (renormalisation and factorisation) scales for an event
*
* \authors Jeppe Andersen, Tuomas Hapola, Marian Heil, Andreas Maier, Jennifer Smillie
* \date 2019
* \copyright GPLv2 or later
*/
#pragma once
#include <functional>
#include <memory>
#include <string>
#include <utility>
#include <vector>
namespace HEJ{
class Event;
//! Class to calculate the scale associated with an event
class ScaleFunction {
public:
//! Constructor
/**
* @param name Name of the scale choice (e.g. H_T)
* @param fun Function used to calculate the scale
*/
ScaleFunction(std::string name, std::function<double(Event const &)> fun):
name_{std::move(name)},
fun_{std::move(fun)}
{}
//! Name of the scale choice
std::string const & name() const {
return name_;
}
//! Calculate the scale associated with an event
double operator()(Event const & ev) const {
return fun_(ev);
}
private:
friend ScaleFunction operator*(double factor, ScaleFunction base_scale);
friend ScaleFunction operator/(ScaleFunction base_scale, double denom);
+ friend ScaleFunction operator*(ScaleFunction func1, ScaleFunction func2);
+ friend ScaleFunction operator/(ScaleFunction func1, ScaleFunction func2);
std::string name_;
std::function<double(Event const &)> fun_;
};
//! Multiply a scale choice by a constant factor
/**
* For example, multiplying 0.5 and a scale function for H_T
* will result in a scale function for H_T/2.
*/
ScaleFunction operator*(double factor, ScaleFunction base_scale);
+ //! Multiply a scale choice by a second one
+ /**
+ * For example, multiplying H_T and m_j1j2
+ * will result in a scale function for H_T*m_j1j2.
+ */
+ ScaleFunction operator*(ScaleFunction factor, ScaleFunction base_scale);
//! Divide a scale choice by a constant factor
/**
* For example, dividing a scale function for H_T by 2
* will result in a scale function for H_T/2.
*/
ScaleFunction operator/(ScaleFunction base_scale, double denom);
+ //! Divide a scale choice by a second one
+ /**
+ * For example, dividing a scale function for H_T by m_j1j2
+ * will result in a scale function for H_T/m_j1j2.
+ */
+ ScaleFunction operator/(ScaleFunction base_scale, ScaleFunction denom);
//! Calculate \f$H_T\f$ for the input event
/**
* \f$H_T\f$ is the sum of the (scalar) transverse momenta of all
* final-state particles
*/
double H_T(Event const &);
//! The maximum of all (scalar) jet transverse momentum
double max_jet_pt(Event const &);
//! The invariant mass of the sum of all jet momenta
double jet_invariant_mass(Event const &);
//! Invariant mass of the two hardest jets
double m_j1j2(Event const &);
//! Functor that returns a fixed scale regardless of the input event
class FixedScale {
public:
explicit FixedScale(double mu): mu_{mu} {}
double operator()(Event const &) const {
return mu_;
}
private:
double mu_;
};
class ParameterDescription;
//! Generate combinations of renormalisation and factorisation scales
class ScaleGenerator{
public:
ScaleGenerator() = default;
/** \brief Constructor
* @param scale_functions_begin Iterator to first base scale
* @param scale_functions_end Iterator past last base scale
* @param scale_factors_begin Iterator to first scale factor
* @param scale_factors_end Iterator past last scale factor
* @param max_scale_ratio Maximum ratio between renormalisation
* and factorisation scale
*/
template<class ScaleFunIterator, class FactorIterator>
ScaleGenerator(
ScaleFunIterator scale_functions_begin,
ScaleFunIterator scale_functions_end,
FactorIterator scale_factors_begin,
FactorIterator scale_factors_end,
double max_scale_ratio
):
scales_(scale_functions_begin, scale_functions_end),
scale_factors_(scale_factors_begin, scale_factors_end),
max_scale_ratio_{max_scale_ratio}
{
gen_descriptions();
}
/** \brief Constructor
* @param scales Base scales
* @param scale_factors Factors to multiply the base scales
* @param max_scale_ratio Maximum ratio between renormalisation
* and factorisation scale
*/
ScaleGenerator(
std::vector<ScaleFunction> scales,
std::vector<double> scale_factors,
double max_scale_ratio
):
scales_(std::move(scales)),
scale_factors_(std::move(scale_factors)),
max_scale_ratio_{max_scale_ratio}
{
gen_descriptions();
}
/** \brief Adjust event parameters, adding scale variation
*
* The central renormalisation and factorisation scale of the returned
* event is given be the first base scale passed to the constructor.
* The scale variation (stored in event.variation()) is constructed as
* follows: For each base scale according to the arguments of the
* constructor we add one variation where both renormalisation and
* factorisation scale are set according to the current base scale.
* Then, all combinations where the base renormalisation and factorisation
* scales are multiplied by one of the scale factors are added.
* The case were both scales are multiplied by one is skipped.
* Scale combinations where the ratio is larger than the maximum scale ratio
* set in the constructor are likewise discarded.
*/
Event operator()(Event event) const;
private:
void gen_descriptions();
std::vector<ScaleFunction> scales_;
std::vector<double> scale_factors_;
std::vector<std::shared_ptr<ParameterDescription>> descriptions_;
double max_scale_ratio_;
};
}
diff --git a/src/ScaleFunction.cc b/src/ScaleFunction.cc
index 67a8e99..a258a05 100644
--- a/src/ScaleFunction.cc
+++ b/src/ScaleFunction.cc
@@ -1,149 +1,172 @@
/**
* \authors Jeppe Andersen, Tuomas Hapola, Marian Heil, Andreas Maier, Jennifer Smillie
* \date 2019
* \copyright GPLv2 or later
*/
#include "HEJ/ScaleFunction.hh"
#include <cassert>
#include "HEJ/Event.hh"
#include "HEJ/exceptions.hh"
namespace HEJ{
double H_T(Event const & ev){
double result = 0.;
for(size_t i = 0; i < ev.outgoing().size(); ++i){
auto const decay_products = ev.decays().find(i);
if(decay_products == end(ev.decays())){
result += ev.outgoing()[i].perp();
}
else{
for(auto const & particle: decay_products->second){
result += particle.perp();
}
}
}
return result;
}
double max_jet_pt(Event const & ev) {
return sorted_by_pt(ev.jets()).front().pt();
}
double jet_invariant_mass(Event const & ev) {
fastjet::PseudoJet sum;
for(const auto & jet: ev.jets()) sum+=jet;
return sum.m();
}
double m_j1j2(Event const & ev) {
const auto jets = sorted_by_pt(ev.jets());
assert(jets.size() >= 2);
return (jets[0] + jets[1]).m();
}
ScaleFunction operator*(double factor, ScaleFunction base_scale) {
base_scale.name_.insert(0, std::to_string(factor) + '*');
auto new_fun =
[factor,fun{std::move(base_scale.fun_)}](HEJ::Event const & ev) {
return factor*fun(ev);
};
base_scale.fun_ = std::move(new_fun);
return base_scale;
}
+ ScaleFunction operator*(ScaleFunction factor, ScaleFunction base_scale) {
+ std::cout << factor.name() << " * " << base_scale.name() << std::endl;
+ base_scale.name_.insert(0, factor.name_ + '*');
+ auto new_fun =
+ [fun1{std::move(factor.fun_)}, fun2{std::move(base_scale.fun_)}, name{base_scale.name_}]
+ (HEJ::Event const & ev) {
+ return fun1(ev)*fun2(ev);
+ };
+ base_scale.fun_ = std::move(new_fun);
+ return base_scale;
+ }
+
ScaleFunction operator/(ScaleFunction base_scale, double denom) {
base_scale.name_.append('/' + std::to_string(denom));
auto new_fun =
[denom,fun{std::move(base_scale.fun_)}](HEJ::Event const & ev) {
return fun(ev)/denom;
};
base_scale.fun_ = std::move(new_fun);
return base_scale;
}
+ ScaleFunction operator/(ScaleFunction base_scale, ScaleFunction denom) {
+ base_scale.name_.append('/' + denom.name_);
+ auto new_fun =
+ [fun2{std::move(denom.fun_)}, fun1{std::move(base_scale.fun_)}]
+ (HEJ::Event const & ev) {
+ return fun1(ev)/fun2(ev);
+ };
+ base_scale.fun_ = std::move(new_fun);
+ return base_scale;
+ }
+
// TODO: significant logic duplication with operator()
void ScaleGenerator::gen_descriptions() {
if(scales_.empty()) {
throw std::logic_error{"Need at least one scale"};
}
descriptions_.emplace_back(
std::make_shared<ParameterDescription>(scales_.front().name(), 1., 1.)
);
for(auto & base_scale: scales_){
const auto base_name = base_scale.name();
descriptions_.emplace_back(
std::make_shared<ParameterDescription>(base_name, 1., 1.)
);
//multiplicative scale variation
for(double mur_factor: scale_factors_){
for(double muf_factor: scale_factors_){
if(muf_factor == 1. && mur_factor == 1.) continue;
if(
mur_factor/muf_factor < 1/max_scale_ratio_
|| mur_factor/muf_factor > max_scale_ratio_
) continue;
descriptions_.emplace_back(
std::make_shared<ParameterDescription>(
base_name, mur_factor, muf_factor
)
);
}
}
}
}
Event ScaleGenerator::operator()(Event ev) const {
if(! ev.variations().empty()) {
throw std::invalid_argument{"Input event already has scale variation"};
}
assert(!scales_.empty());
assert(!descriptions_.empty());
size_t descr_idx = 0;
const double mu_central = (scales_.front())(ev);
ev.central().mur = mu_central;
ev.central().muf = mu_central;
assert(descr_idx < descriptions_.size());
assert(descriptions_[descr_idx]);
ev.central().description = descriptions_[descr_idx++];
// check if we are doing scale variation at all
if(scales_.size() == 1 && scale_factors_.empty()) return ev;
for(auto & base_scale: scales_){
const double mu_base = base_scale(ev);
assert(descr_idx < descriptions_.size());
assert(descriptions_[descr_idx]);
ev.variations().emplace_back(
EventParameters{
mu_base, mu_base, ev.central().weight, descriptions_[descr_idx++]
}
);
//multiplicative scale variation
for(double mur_factor: scale_factors_){
const double mur = mu_base*mur_factor;
for(double muf_factor: scale_factors_){
if(muf_factor == 1. && mur_factor == 1.) continue;
const double muf = mu_base*muf_factor;
if(
mur/muf < 1/max_scale_ratio_
|| mur/muf > max_scale_ratio_
) continue;
assert(descr_idx < descriptions_.size());
assert(descriptions_[descr_idx]);
ev.variations().emplace_back(
EventParameters{
mur, muf, ev.central().weight, descriptions_[descr_idx++]
}
);
}
}
};
return ev;
}
}
diff --git a/src/YAMLreader.cc b/src/YAMLreader.cc
index 5336e8d..e5ce822 100644
--- a/src/YAMLreader.cc
+++ b/src/YAMLreader.cc
@@ -1,469 +1,464 @@
/**
* \authors Jeppe Andersen, Tuomas Hapola, Marian Heil, Andreas Maier, Jennifer Smillie
* \date 2019
* \copyright GPLv2 or later
*/
#include "HEJ/YAMLreader.hh"
#include <algorithm>
#include <iostream>
#include <limits>
#include <map>
#include <string>
#include <unordered_map>
#include <vector>
#include <dlfcn.h>
#include "HEJ/ScaleFunction.hh"
#include "HEJ/event_types.hh"
#include "HEJ/output_formats.hh"
namespace HEJ{
class Event;
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", "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);
+ return parse_ScaleFunction(first, known)
+ / parse_ScaleFunction(second, known);
}
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(second, known);
- }
+ return parse_ScaleFunction(first, known)
+ * parse_ScaleFunction(second, 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");
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

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