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	diff --git a/config.yml b/config.yml
	index a0fabd4..dd3f465 100644
	--- a/config.yml
	+++ b/config.yml
	@@ -1,100 +1,115 @@
	# 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-resummable events cannot be reweighted
	event treatment:
	FKL: reweight
	unordered: keep
	extremal qqx: keep
	central qqx: keep
	non-resummable: 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

	# event output files
	#
	# the supported formats are
	# - Les Houches (suffix .lhe)
	# - HepMC2 (suffix .hepmc)
	# - HepMC3 (suffix .hepmc3 or .hepmc)
	# 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

	+# Vacuum expectation value
	+vev: 246.2196508
	+
	+# Properties of the weak gauge bosons
	+particle properties:
	+ Higgs:
	+ mass: 125
	+ width: 0.004165
	+ W:
	+ mass: 80.385
	+ width: 2.085
	+ Z:
	+ mass: 91.187
	+ width: 2.495
	+
	# parameters for Higgs-gluon couplings
	# this requires compilation with qcdloop
	#
	# Higgs coupling:
	# use impact factors: false
	# mt: 174
	# include bottom: true
	# mb: 4.7

	## ---------------------------------------------------------------------- ##
	## The following settings are only intended for advances users. ##
	## Please DO NOT SET them unless you know exactly what you are doing! ##
	## ---------------------------------------------------------------------- ##
	#
	# regulator parameter: 0.2 # The regulator lambda for the subtraction terms
	diff --git a/include/HEJ/config.hh b/include/HEJ/config.hh
	index c6a002c..f6a34e2 100644
	--- a/include/HEJ/config.hh
	+++ b/include/HEJ/config.hh
	@@ -1,190 +1,193 @@
	/** \file
	* \brief HEJ 2 configuration parameters
	*
	* \authors The HEJ collaboration (see AUTHORS for details)
	* \date 2019
	* \copyright GPLv2 or later
	*/
	#pragma once

	#include <string>

	#include "fastjet/JetDefinition.hh"
	#include "yaml-cpp/yaml.h"

	#include "HEJ/Constants.hh"
	#include "HEJ/event_types.hh"
	+#include "HEJ/EWConstants.hh"
	#include "HEJ/HiggsCouplingSettings.hh"
	#include "HEJ/optional.hh"
	#include "HEJ/output_formats.hh"
	#include "HEJ/ScaleFunction.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;
	//! The regulator lambda for the subtraction terms
	double regulator_lambda = CLAMBDA;
	//! 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;
	//! 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;
	+ //! elector weak parameters
	+ EWConstants ew_parameters;
	};

	//! 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 {
	MatrixElementConfig() = default;
	MatrixElementConfig(
	bool log_correction,
	HiggsCouplingSettings Higgs_coupling,
	double regulator_lambda = CLAMBDA
	):
	log_correction(log_correction),
	Higgs_coupling(Higgs_coupling),
	regulator_lambda(regulator_lambda)
	{}

	//! Whether to include the logarithmic correction from \f$\alpha_s\f$ running
	bool log_correction;
	//! Settings for effective Higgs-gluon coupling
	HiggsCouplingSettings Higgs_coupling;
	//! The regulator lambda for the subtraction terms
	double regulator_lambda = CLAMBDA;
	};

	//! 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, conf.regulator_lambda};
	}

	/**! 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 96caa71..e352b3d 100644
	--- a/src/YAMLreader.cc
	+++ b/src/YAMLreader.cc
	@@ -1,480 +1,509 @@
	/**
	* \authors The HEJ collaboration (see AUTHORS for details)
	* \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"
	#include "HEJ/Constants.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",
	"scales", "scale factors", "max scale ratio", "import scales",
	- "log correction", "event output", "analysis", "regulator parameter"
	+ "log correction", "event output", "analysis", "regulator parameter",
	+ "vev"
	};
	// 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] = "";
	}
	for(auto && opt: {"FKL", "unordered", "extremal qqx", "central qqx", "non-resummable"}){
	supported["event treatment"][opt] = "";
	}
	+ for(auto && particle_type: {"Higgs", "W", "Z"}){
	+ for(auto && particle_opt: {"mass", "width"}){
	+ supported["particle properties"][particle_type][particle_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;
	}

	+ ParticleProperties get_particle_properties(
	+ YAML::Node const & node, std::string const & entry,
	+ std::string const & boson
	+ ){
	+ ParticleProperties result;
	+ set_from_yaml(result.mass, node, entry, boson, "mass");
	+ set_from_yaml(result.width, node, entry, boson, "width");
	+ return result;
	+ }
	+
	+ EWConstants get_ew_parameters(YAML::Node const & node){
	+ EWConstants result;
	+ double vev;
	+ set_from_yaml(vev, node, "vev");
	+ result.set_vevWZH(vev,
	+ get_particle_properties(node, "particle properties", "W"),
	+ get_particle_properties(node, "particle properties", "Z"),
	+ get_particle_properties(node, "particle properties", "Higgs")
	+ );
	+ 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},
	{"HepMC2", FileFormat::HepMC2},
	{"HepMC3", FileFormat::HepMC3}
	};
	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;
	if(suffix == "hepmc3") return FileFormat::HepMC3;
	if(suffix == "hepmc2") return FileFormat::HepMC2;
	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()))
	);
	// parse from right to left => a/b/c gives (a/b)/c
	const size_t delim = scale_fun.find_last_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_ScaleFunction(first, known)
	/ parse_ScaleFunction(second, known);
	}
	else{
	assert(scale_fun[delim] == '*');
	return parse_ScaleFunction(first, known)
	* parse_ScaleFunction(second, known);
	}
	}

	EventTreatMap get_event_treatment(
	YAML::Node const & node, std::string const & entry
	){
	using namespace event_type;
	EventTreatMap treat {
	{no_2_jets, EventTreatment::discard},
	{bad_final_state, EventTreatment::discard},
	{FKL, EventTreatment::discard},
	{unob, EventTreatment::discard},
	{unof, EventTreatment::discard},
	{qqxexb, EventTreatment::discard},
	{qqxexf, EventTreatment::discard},
	{qqxmid, EventTreatment::discard},
	{non_resummable, EventTreatment::discard}
	};
	set_from_yaml(treat.at(FKL), node, entry, "FKL");
	set_from_yaml(treat.at(unob), node, entry, "unordered");
	treat.at(unof) = treat.at(unob);
	set_from_yaml(treat.at(qqxexb), node, entry, "extremal qqx");
	treat.at(qqxexf) = treat.at(qqxexb);
	set_from_yaml(treat.at(qqxmid), node, entry, "central qqx");
	set_from_yaml(treat.at(non_resummable), node, entry, "non-resummable");
	if(treat[non_resummable] == EventTreatment::reweight){
	throw std::invalid_argument{"Cannot reweight Fixed Order 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");
	// Sets the standard value, then changes this if defined
	config.regulator_lambda=CLAMBDA;
	set_from_yaml_if_defined(config.regulator_lambda, yaml, "regulator parameter");
	config.max_ext_soft_pt_fraction = 0.1;
	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, "event treatment");
	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.ew_parameters = get_ew_parameters(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 fd871f3..25be9fd 100644
	--- a/t/ME_data/config_mt.yml
	+++ b/t/ME_data/config_mt.yml
	@@ -1,31 +1,44 @@
	trials: 1

	min extparton pt: 30

	resummation jets:
	min pt: 30
	algorithm: antikt
	R: 0.4

	fixed order jets:
	min pt: 30

	event treatment:
	FKL: reweight
	unordered: reweight
	extremal qqx: discard
	central qqx: discard
	non-resummable: discard

	scales: 125

	log correction: false

	random generator:
	name: mixmax
	seed: 1

	+vev: 246.2196508
	+
	+particle properties:
	+ Higgs:
	+ mass: 125
	+ width: 0.004165
	+ W:
	+ mass: 80.385
	+ width: 2.085
	+ Z:
	+ mass: 91.187
	+ width: 2.495
	+
	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 0400893..f1a8f7b 100644
	--- a/t/ME_data/config_mtinf.yml
	+++ b/t/ME_data/config_mtinf.yml
	@@ -1,26 +1,39 @@
	trials: 1

	min extparton pt: 30

	resummation jets:
	min pt: 30
	algorithm: antikt
	R: 0.4

	fixed order jets:
	min pt: 30

	event treatment:
	FKL: reweight
	unordered: reweight
	extremal qqx: discard
	central qqx: discard
	non-resummable: discard

	scales: 125

	log correction: false

	+vev: 246.2196508
	+
	+particle properties:
	+ Higgs:
	+ mass: 125
	+ width: 0.004165
	+ W:
	+ mass: 80.385
	+ width: 2.085
	+ Z:
	+ mass: 91.187
	+ width: 2.495
	+
	random generator:
	name: mixmax
	seed: 1
	diff --git a/t/ME_data/config_mtmb.yml b/t/ME_data/config_mtmb.yml
	index 3c7ce17..eb0075a 100644
	--- a/t/ME_data/config_mtmb.yml
	+++ b/t/ME_data/config_mtmb.yml
	@@ -1,32 +1,45 @@
	trials: 1

	min extparton pt: 30

	resummation jets:
	min pt: 30
	algorithm: antikt
	R: 0.4

	fixed order jets:
	min pt: 30

	event treatment:
	FKL: reweight
	unordered: reweight
	extremal qqx: discard
	central qqx: discard
	non-resummable: discard

	scales: 125

	log correction: false

	random generator:
	name: mixmax
	seed: 1

	+vev: 246.2196508
	+
	+particle properties:
	+ Higgs:
	+ mass: 125
	+ width: 0.004165
	+ W:
	+ mass: 80.385
	+ width: 2.085
	+ Z:
	+ mass: 91.187
	+ width: 2.495
	+
	Higgs coupling:
	use impact factors: false
	mt: 174
	include bottom: true
	mb: 4.7
	diff --git a/t/ME_data/config_w_ME.yml b/t/ME_data/config_w_ME.yml
	index c389201..c07d41c 100644
	--- a/t/ME_data/config_w_ME.yml
	+++ b/t/ME_data/config_w_ME.yml
	@@ -1,26 +1,39 @@
	trials: 1

	min extparton pt: 30

	resummation jets:
	min pt: 30
	algorithm: antikt
	R: 0.4

	fixed order jets:
	min pt: 30

	event treatment:
	FKL: reweight
	unordered: reweight
	extremal qqx: reweight
	central qqx: reweight
	non-resummable: discard

	scales: 125

	log correction: false

	+vev: 246.2196508
	+
	+particle properties:
	+ Higgs:
	+ mass: 125
	+ width: 0.004165
	+ W:
	+ mass: 80.385
	+ width: 2.085
	+ Z:
	+ mass: 91.187
	+ width: 2.495
	+
	random generator:
	name: mixmax
	seed: 1
	diff --git a/t/jet_config.yml b/t/jet_config.yml
	index 9309e04..9d7dc31 100644
	--- a/t/jet_config.yml
	+++ b/t/jet_config.yml
	@@ -1,28 +1,41 @@
	trials: 10

	min extparton pt: 30

	resummation jets:
	min pt: 35
	algorithm: antikt
	R: 0.4

	fixed order jets:
	min pt: 30

	event treatment:
	FKL: reweight
	unordered: keep
	extremal qqx: discard
	central qqx: keep
	non-resummable: keep

	log correction: false

	scales: 91.188

	random generator:
	name: ranlux64

	+vev: 246.2196508
	+
	+particle properties:
	+ Higgs:
	+ mass: 125
	+ width: 0.004165
	+ W:
	+ mass: 80.385
	+ width: 2.085
	+ Z:
	+ mass: 91.187
	+ width: 2.495
	+
	event output:
	- tst.lhe
	diff --git a/t/jet_config_with_import.yml b/t/jet_config_with_import.yml
	index 924cad3..446a58c 100644
	--- a/t/jet_config_with_import.yml
	+++ b/t/jet_config_with_import.yml
	@@ -1,31 +1,44 @@
	trials: 10

	min extparton pt: 30

	resummation jets:
	min pt: 35
	algorithm: antikt
	R: 0.4

	fixed order jets:
	min pt: 30

	event treatment:
	FKL: reweight
	unordered: discard
	extremal qqx: discard
	central qqx: discard
	non-resummable: discard

	log correction: false

	scales: softest_jet_pt

	event output:
	- tst.lhe

	random generator:
	name: ranlux64

	+vev: 246.2196508
	+
	+particle properties:
	+ Higgs:
	+ mass: 125
	+ width: 0.004165
	+ W:
	+ mass: 80.385
	+ width: 2.085
	+ Z:
	+ mass: 91.187
	+ width: 2.495
	+
	import scales:
	./libscales.so: softest_jet_pt

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