EIC code displayed by LXR master/​include/​Pythia8/​Weights.h	Source navigation Diff markup Identifier search General search
	Version: master test Revert   Change

File indexing completed on 2025-01-18 10:06:36

 // Weights.h is a part of the PYTHIA event generator.
 // Copyright (C) 2024 Torbjorn Sjostrand.
 // PYTHIA is licenced under the GNU GPL v2 or later, see COPYING for details.
 // Please respect the MCnet Guidelines, see GUIDELINES for details.
 
 // This file contains classes that keep track of event weights.
 
 #ifndef Pythia8_Weights_H
 #define Pythia8_Weights_H
 
 #include "Pythia8/Basics.h"
 #include "Pythia8/LHEF3.h"
 #include "Pythia8/PythiaStdlib.h"
 #include "Pythia8/SharedPointers.h"
 
 namespace Pythia8 {
 
 // Forward declare classes which need internal member access.
 class Info;
 class History;
 class PartonLevel;
 class Merging;
 class WeightContainer;
 
 //==========================================================================
 
 // This is a base class to store weight information in a way that allows
 // unified access in the structure that contains all event generation weights
 // information (WeightContainer below). The main purpuse of this class is to
 // supply convenience features to make defining new categories of weights easy.
 // All weights should inherit from this base class. The specialized classes
 // may then contain specialized functions, or only act as a glorified
 // book-keeping structure.
 
 class WeightsBase {
 
 public:
 
   // Friends for internal protected members.
   friend class History;
   friend class PartonLevel;
 
   // Initialize the weights.
   virtual void init() {weightValues.resize(0); weightNames.resize(0);
     bookWeight("Baseline");}
   virtual void init(bool) {}
 
   // Reset all internal values.
   virtual void clear() {fill(weightValues.begin(), weightValues.end(), 1.);}
 
   // Store the current event information (replace whitespace with underscore
   // for HepMC).
   virtual void bookVectors(vector<double> weights, vector<string> names) {
     for (int i = 0; i < (int)weights.size(); ++i) {
       replace(names[i].begin(), names[i].end(), ' ', '_');
       bookWeight(names[i], weights[i]);
     }
   }
 
   // Function to return processed weights to weight container, e.g. if
   // weights should be combined before proceeding.
   virtual void collectWeightValues(vector<double>& outputWeights,
     double norm = 1.);
 
   // Similar function to return processed weight names.
   virtual void collectWeightNames(vector<string>& outputNames);
 
   // Get the stored information.
   // Direcly use storage members here in the base class,
   // and access those through non-virtual getters.
   // Note: NOT opting for a map data structure, since information will anyway
   // have to be serialized in output.
   // Change weight names for compatibility with Rivet by replacing colons
   // with full stops.
   string getWeightsName(int iPos) const  {
     string name = iPos >= 0
       && iPos < (int)weightNames.size() ? weightNames[iPos] : "";
     if (name.find(":") != string::npos)
       replace(name.begin(), name.end(), ':', '.');
     return name == "" ? to_string(iPos) : name;}
   virtual double getWeightsValue(int iPos) const { return weightValues[iPos]; }
   int getWeightsSize() const { return weightValues.size(); }
 
   // Function to create a new, synchronized, pair of weight name and value.
   void bookWeight(string name, double defaultValue = 1.)  {
     // Check if name already exists.
     if (findIndexOfName(name) != -1) setValueByName(name, defaultValue);
     else {
       weightNames.push_back(name);
       weightValues.push_back(defaultValue);
     }
   }
 
   // Functions to set values of weights.
   void setValueByIndex(int iPos, double val) {
     if (iPos < 0 || iPos >= (int)weightValues.size()) return;
     weightValues[iPos] = val;
   }
   void setValueByName(string name, double val) {
     setValueByIndex(findIndexOfName(name), val);}
 
   // Functions to reweight weight values, by index or by name.
   virtual void reweightValueByIndex(int iPos, double val) {
     if (iPos < 0 || iPos >= (int)weightValues.size()) return;
     weightValues[iPos] *= val;
   };
   virtual void reweightValueByName(string name, double val) {
     // Use existing functions: Find index of name, then set by index.
     int iPos = findIndexOfName(name);
     reweightValueByIndex(iPos, val);
   }
 
   // Function to find the index of a given entry in the weightNames vector,
   // e.g., to be able to synchronize with the weightValues vector.
   int findIndexOfName(string name) {
     vector<string>::iterator it
       = find(weightNames.begin(), weightNames.end(), name);
     unsigned long int index = distance(weightNames.begin(), it);
     if (index == weightNames.size()) return -1;
     return distance(weightNames.begin(), it);
   }
 
   // Set the pointers.
   void setPtrs(Info* infoPtrIn) { infoPtr = infoPtrIn; }
 
 protected:
 
   // Parse a WVec of variations into a dictionary.
   void parse(string wvecKey, map<string, map<string, double> > &dct);
 
   // Weight values and names.
   vector<double> weightValues;
   vector<string> weightNames;
 
   // Pointers necessary for variation initialization
   Info* infoPtr{};
 
 };
 
 //==========================================================================
 
 // Purely virtual base class for shower weights.
 
 class WeightsShower : public WeightsBase {
 
 public:
 
   // Initialize weights (more can be booked at any time)
   void init(bool) override {}
 
   // Weight "groups" (combinations of one or more unique weights).
   virtual void initWeightGroups(bool = false) {}
   virtual int nWeightGroups() const {return 0;}
   virtual string getGroupName( int /*iGroup*/ ) const {return "";}
   virtual double getGroupWeight( int /*iGroup*/ ) const {return 1.;}
 
 };
 
 //==========================================================================
 
 // This shows a WeightsShower example implementation for SimpleShower.
 
 class WeightsSimpleShower : public WeightsShower {
 
 public:
 
   // Initialize weights (more can be booked at any time)
   void init( bool doMerging) override;
 
   // Functions to return processed weights to weight container, e.g. if
   // weights should be combined before proceeding.
   void collectWeightNames(vector<string>& outputNames) override;
   void collectWeightValues(vector<double>& outputWeights,
     double norm = 1.) override;
 
   // Initialize the weight groups for automated variations.
   void initWeightGroups(bool = false) override;
 
   // Return group name (want to integrate this in weightNameVector?)
   string getGroupName(int iGN) const override;
 
   // Return group weight (want to integrate this in weightValueVector?)
   double getGroupWeight(int iGW) const override;
   int    nWeightGroups() const override { return externalVariations.size(); }
 
   // Initialise list of atomic weight variations to be performed by shower.
   bool initUniqueShowerVars();
 
   // Memorize enhancement factor and pT of enhanced emission
   void setEnhancedTrial( double pTIn, double wtIn) { pTEnhanced = pTIn;
     wtEnhanced = wtIn; }
   double getEnhancedTrialPT() { return pTEnhanced;}
   double getEnhancedTrialWeight() { return wtEnhanced;}
 
   // Extract full list or subset that matches specific keys (e.g., FSR ones).
   vector<string> getUniqueShowerVars() { return uniqueShowerVars; }
   vector<string> getUniqueShowerVars(vector<string> keys);
 
   // Initialise map of enhancement factors for shower trial probabilities.
   bool initEnhanceFactors();
   unordered_map<string,double> getEnhanceFactors() { return enhanceFactors; }
 
   string getInitialName(int iG) const { return initialNameSave[iG]; }
 
   // Variations that must be known by TimeShower and Spaceshower.
   map<int,double> varPDFplus, varPDFminus, varPDFmember;
 
   // Vectors for storing shower variatons and enhancement factors.
   vector<string> uniqueShowerVars;
   unordered_map<string,double> enhanceFactors;
 
   // Vectors for weight group handling
   vector<string>          externalVariations;
   vector<vector<string> > externalVarNames;
   vector<string>          externalGroupNames;
   vector<string>          initialNameSave;
   vector<vector<int> >    externalMap;
   int                     externalVariationsSize{};
 
   // Vector for merging requested weight handling
   vector<double> getMuRWeightVector();
   vector<vector<string> > mergingVarNames;
   double pTEnhanced{}, wtEnhanced{};
 
 };
 
 //==========================================================================
 
 // This class collects information on weights generated in the merging
 // framework. The first weight is always required for CKKW-L, UMEPS and
 // NLO merging. The additional weights are required for simultaneous
 // renormalization scale variation in matrix element generation and parton
 // shower.
 
 class WeightsMerging : public WeightsBase {
 
 public:
 
   // Friends for internal protected members.
   friend class Merging;
   friend class WeightContainer;
 
   // Initialize weights (more can be booked at any time)
   void init() override;
 
   // Reset all internal values;
   void clear() override;
 
   // Function to create a new, synchronized, pair of weight name and value.
   void bookWeight(string name, double value, double valueFirst);
 
   // Store the current event information.
   void bookVectors(vector<double> weights, vector<string> names) override;
   void bookVectors(vector<double> weights, vector<double> weightsFirst,
             vector<string> names);
   // Modified weight getter to include first order weight
   double getWeightsValue(int iPos) const override {
     return weightValues[iPos] - weightValuesFirst[iPos]; }
   // Also add getters for UNLOPS-P and -PC schemes
   double getWeightsValueP(int iPos) const {
     return weightValuesP[iPos] - weightValuesFirstP[iPos]; }
   double getWeightsValuePC(int iPos) const {
     return weightValuesPC[iPos] - weightValuesFirstPC[iPos]; }
 
   // Functions to set values of weights.
   void reweightValueByIndex(int iPos, double val) override;
   void reweightValueByName(string name, double val) override;
 
   // Functions to set values of first order weights.
   void setValueFirstByIndex(int iPos, double val);
   void setValueFirstByName(string name, double val);
 
   // Functions to set values as whole vector.
   void setValueVector(vector<double> ValueVector);
   void setValueFirstVector(vector<double> ValueFirstVector);
 
   // Function telling merging which muR variations to perform
   vector<double> getMuRVarFactors();
 
   // Set up mapping between LHEF variations.
   void setLHEFvariationMapping();
 
   // Function to collect weight names.
   void collectWeightNames(vector<string>& outputNames) override;
 
   // Function collecting weight values.
   void collectWeightValues(vector<double>& outputWeights,
      double norm = 1.) override;
 
 protected:
 
   // Corresponding vector with respective LHEF weight indices.
   map<int,int> muRVarLHEFindex;
 
   // Data member for first order weight.
   vector<double> weightValuesFirst;
 
   // Data members for UNLOPS-P and -PC.
   vector<double> weightValuesP, weightValuesPC,
     weightValuesFirstP, weightValuesFirstPC;
 
   // Boolean to memorize if LHEF weight needs to be applied (only for NLO).
   bool isNLO;
 
 };
 
 //==========================================================================
 
 // This is a short example class to collect information on Les Houches
 // Event weights into a container class that can be part of Weight,
 // which in turn is part of Info.
 
 class WeightsLHEF : public WeightsBase {
 
 public:
 
   // Friends for internal protected members.
   friend class WeightsMerging;
 
   // Central weight, needed for normalization, set from ProcessContainer.cc
   double centralWeight;
 
   // Reset all internal values;
   void clear() override;
 
   // Store the current event information.
   void bookVectors(vector<double> weights, vector<string> names) override;
 
   // Function to return processed weights to weight container, e.g. if
   // weights should be combined before proceeding.
   void collectWeightValues(vector<double>& outputWeights,
      double norm = 1.) override;
   void collectWeightNames(vector<string>& outputNames) override;
 
   // Convert weight names in MadGraph5 convention to the convention outlined
   // in https://arxiv.org/pdf/1405.1067.pdf, page 162ff.
   vector<string> convertNames(vector<string> names);
 
   void identifyVariationsFromLHAinit(map<string,LHAweight>* weights);
 
 protected:
 
   // Renormalization variations.
   map<int,double> muRvars;
 
 };
 
 //==========================================================================
 
 // This is class to collect information on fragmentation weighting,
 // and is in turn part of Info.
 
 class WeightsFragmentation : public WeightsBase {
 
 public:
 
   // Initialize the weights.
   void init() override;
 
   int nWeightGroups() const {return externalGroupNames.size();}
 
   string getGroupName(int iGN) const {return iGN < 0 || iGN >= nWeightGroups()
       ? "Null" : externalGroupNames[iGN];}
 
   // Return group weight.
   double getGroupWeight(int iGW) const {
     if (iGW < 0 || iGW >= nWeightGroups()) return 1.0;
     double wgt(1.);
     for (const int &iWgt : externalMap[iGW]) wgt *= getWeightsValue(iWgt);
     return wgt;}
 
   // Functions to return processed weights to weight container, e.g. if
   // weights should be combined before proceeding.
   void collectWeightNames(vector<string>& outputNames) override;
   void collectWeightValues(vector<double>& outputWeights,
     double norm = 1.) override;
 
   // Vectors for weight group handling.
   vector<map<vector<double>, int> > weightParms{};
   vector<string>       externalGroupNames{};
   vector<vector<int> > externalMap{};
 
   // Factorization indices.
   enum FactIndex{Z, Flav, PT};
 
 };
 
 //==========================================================================
 
 // This is a container class to collect all event generation weight
 // information into a wrapper which is in turn is part of Info. In this
 // way, we could avoid cluttering Info.
 
 class WeightContainer {
 
 public:
 
   // Default constructor only ensures that members are initialized with
   // sensible default values.
   WeightContainer() : weightNominal(1.0), xsecIsInit(false) {}
 
   // The nominal Pythia weight, in pb for lha strategy 4 and -4
   double weightNominal;
   void setWeightNominal( double weightNow );
   double collectWeightNominal();
 
   // First example of a weight subcategory.
   WeightsLHEF          weightsLHEF{};
 
   // Shower weights. SimpleShower one hardcoded and made default since
   // Merging explicitly depends on it, but allow to point to a
   // different weightsShower-derived object, eg for Vincia (with own
   // merging).
   WeightsShower*       weightsShowerPtr{};
   WeightsSimpleShower  weightsSimpleShower{};
 
   // Merging weights.
   WeightsMerging       weightsMerging{};
 
   // Fragmentation weights.
   WeightsFragmentation weightsFragmentation{};
 
   // Userhooks weights.
   WeightsBase          weightsUserHooks{};
 
   // Functions to retrieve information stored in the subcategory members.
   int numberOfWeights();
   double weightValueByIndex(int key = 0);
   string weightNameByIndex(int key = 0);
 
   // Function to return the vector of weight values, combining all
   // weights from all subcategories. Currently, only the nominal
   // weight and LHEF weights are considered. Internal Pythia weights
   // should also be included eventually.
   vector<double> weightValueVector();
 
   // Function to return the vector of weight names, combining all names from
   // all subcategories, cf. weightValueVector function.
   vector<string> weightNameVector();
 
   // Reset all members to default stage.
   void clear();
 
   // Reset total cross section estimate.
   void clearTotal();
 
   // Init, for those classes that need it.
   void init(bool doMerging);
 
   // Function to set Pointers in weight classes.
   void initPtrs(Info* infoPtrIn);
 
   // Initialize the cross-section vector.
   void initXsecVec();
 
   // Get cross-section vectors.
   vector<double> getSampleXsec();
   vector<double> getTotalXsec();
   vector<double> getSampleXsecErr();
   vector<double> getTotalXsecErr();
 
   // Accumulate cross section for all weights.
   void accumulateXsec(double norm = 1.);
 
 private:
 
   // Pointers necessary for variation initialization.
   Info* infoPtr{};
 
   // Suppress AUX_ weights.
   bool doSuppressAUXweights{};
 
   // Vectors for cross-section.
   vector<double> sigmaTotal, sigmaSample, errorTotal, errorSample;
   bool xsecIsInit;
 
 };
 
 //==========================================================================
 
 } // end namespace Pythia8
 
 #endif // Pythia8_Weights_H

This page was automatically generated by the 2.3.7 LXR engine. The LXR team