diff --git a/inc/LauFlavTag.hh b/inc/LauFlavTag.hh
index cda7313..db9479c 100644
--- a/inc/LauFlavTag.hh
+++ b/inc/LauFlavTag.hh
@@ -1,309 +1,347 @@
/*
Copyright 2017 University of Warwick
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
/*
Laura++ package authors:
John Back
Paul Harrison
Thomas Latham
*/
/*! \file LauFlavTag.hh
\brief File containing declaration of LauFlavTag class.
*/
/*! \class LauFlavTag
\brief Class for defining the flavour tagging approach.
Define the flavour tagging categories and all associated parameters
to be passed to the relevant fit models.
*/
#ifndef LAU_FLAVTAG
#define LAU_FLAVTAG
#include <vector>
#include <map>
#include "TString.h"
#include "LauParameter.hh"
class LauAbsPdf;
class LauFitDataTree;
class LauFlavTag final {
public:
//! Define sign convention for B and Bbar flavours
enum Flavour {
Bbar = -1, //< Bbar flavour
Unknown = 0, //< Unknown flavour
B = +1 //< B flavour
};
//! Define different types of background to control the behaviour for each source
// Might want to move this somewhere more general later
enum BkgndType {
SignalLike = 0,
Combinatorial = 1
};
//! Constructor
/*!
\param [in] useAveDelta use average and delta variables for tagging calibration and efficiency
\param [in] useEtaPrime use eta prime rather the eta as the mistag throughout
\param [in] bkgndInfo map containing names and types of the background sources (if applicable)
*/
LauFlavTag(const Bool_t useAveDelta = kFALSE, const Bool_t useEtaPrime = kFALSE, const std::map<TString, BkgndType> bkgndInfo={});
//! Initialise
// TODO is this needed? Commented for the moment (here and where called in LauTimeDepFitModel)
//void initialise();
// TODO - need to decide which functions need to be public (interface) and which should be private (implementation details)
//! Change the dilutions, delta dilutions and tagCatFrac for signal if needed
/*!
\param [in] name the name of the tagger
\param [in] tagVarName the tagging variable name of the tagger in the ntuple
\param [in] mistagVarName the associated mistag variable name of the same tagger in the ntuple
\param [in] etapdf the mistag distribution for the tagger
\param [in] tagEff tagging efficiency - (particle, antiparticle) or (average, delta) depending on useAveDelta_ flag
\param [in] calib_p0 calibration parameter p0 - (particle, antiparticle) or (average, delta) depending on useAveDelta_ flag
\param [in] calib_p1 calibration parameter p1 - (particle, antiparticle) or (average, delta) depending on useAveDelta_ flag
*/
- // Need to set remember the position in the vector using a map for later reference
- //void addTagger(const TString& name, const TString& tagVarName, const TString& mistagVarName, LauAbsPdf* etapdf,
- // const Double_t tagEff_b0=1.0, const Double_t calib_p0_b0=1.0, const Double_t calib_p1_b0=1.0,
- // const Double_t tagEff_b0bar=-1.0, const Double_t calib_p0_b0bar=-1.0, const Double_t calib_p1_b0bar=-1.0);
void addTagger(const TString& name, const TString& tagVarName, const TString& mistagVarName, LauAbsPdf* etapdf,
const std::pair <Double_t, Double_t> tagEff, const std::pair <Double_t, Double_t> calib_p0,
const std::pair <Double_t, Double_t> calib_p1);
+ //! Change the dilutions, delta dilutions and tagCatFrac for signal if needed
+ /*!
+ \param [in] name the name of the tagger
+ \param [in] tagVarName the tagging variable name of the tagger in the ntuple
+ \param [in] mistagVarName the associated mistag variable name of the same tagger in the ntuple
+ \param [in] etapdf the mistag distribution for the tagger
+ \param [in] tagEff tagging efficiency histograms - (particle, antiparticle) or (average, delta) depending on useAveDelta_ flag
+ \param [in] calib_p0 calibration parameter p0 - (particle, antiparticle) or (average, delta) depending on useAveDelta_ flag
+ \param [in] calib_p1 calibration parameter p1 - (particle, antiparticle) or (average, delta) depending on useAveDelta_ flag
+ */
+ void addTagger(const TString& name, const TString& tagVarName, const TString& mistagVarName, LauAbsPdf* etapdf,
+ const std::pair <TH1*, TH1*> tagEff, const std::pair <Double_t, Double_t> calib_p0,
+ const std::pair <Double_t, Double_t> calib_p1);
+
//! Read in the input fit data variables, e.g. m13Sq and m23Sq
void cacheInputFitVars(LauFitDataTree* inputFitData, const TString& decayTimeVarName="");
- void generateEventInfo(const Flavour trueTagFlv);
+ void generateEventInfo(const Flavour trueTagFlv, const Double_t curEvtDecayTime);
- void generateBkgndEventInfo(const Flavour trueTagFlv, const ULong_t bkgndID);
+ void generateBkgndEventInfo(const Flavour trueTagFlv, const Double_t curEvtDecayTime, const ULong_t bkgndID);
void updateEventInfo(const ULong_t iEvt);
const std::vector<TString>& getTagVarNames() const {return tagVarNames_;};
const std::vector<TString>& getMistagVarNames() const {return mistagVarNames_;};
const TString& getTrueTagVarName() const {return trueTagVarName_;};
const TString& getDecayFlvVarName() const {return decayFlvVarName_;};
Flavour getCurEvtTrueTagFlv() const {return curEvtTrueTagFlv_;};
Flavour getCurEvtDecayFlv() const {return curEvtDecayFlv_;};
const std::vector<Flavour>& getCurEvtTagFlv() const {return curEvtTagFlv_;};
const std::vector<Double_t>& getCurEvtMistag() const {return curEvtMistag_;};
ULong_t getNTaggers() const {return tagVarNames_.size();}
//! Get vector of calibration parameters for each tagging category
std::vector<LauParameter*> getCalibP0B0(){return calib_p0_B0_;};
std::vector<LauParameter*> getCalibP0B0bar(){return calib_p0_B0bar_;};
std::vector<LauParameter*> getCalibP1B0(){return calib_p1_B0_;};
std::vector<LauParameter*> getCalibP1B0bar(){return calib_p1_B0bar_;};
//! Get vector of alternative calibration parameters for each tagging category
std::vector<LauParameter*> getCalibP0Ave(){return calib_p0_ave_;};
std::vector<LauParameter*> getCalibP0Delta(){return calib_p0_delta_;};
std::vector<LauParameter*> getCalibP1Ave(){return calib_p1_ave_;};
std::vector<LauParameter*> getCalibP1Delta(){return calib_p1_delta_;};
//! Get vector of tagging efficiency parameters for each tagging category
std::vector<LauParameter*> getTagEffAve(){return tagEff_ave_;};
std::vector<LauParameter*> getTagEffDelta(){return tagEff_delta_;};
std::vector<LauParameter*> getTagEffB0(){return tagEff_B0_;};
std::vector<LauParameter*> getTagEffB0bar(){return tagEff_B0bar_;};
//! Get 2D vector of background tagging efficiency parameters for each tagger (inner vec) and background source (outer vec)
std::vector<std::vector<LauParameter*>> getTagEffBkgndAve(){return tagEffBkgnd_ave_;};
std::vector<std::vector<LauParameter*>> getTagEffBkgndDelta(){return tagEffBkgnd_delta_;};
std::vector<std::vector<LauParameter*>> getTagEffBkgndB0(){return tagEffBkgnd_B0_;};
std::vector<std::vector<LauParameter*>> getTagEffBkgndB0bar(){return tagEffBkgnd_B0bar_;};
//! Set some things for backgrounds
//! Set background eta PDF for a given background and given tagger
/*!
\param [in] bkgndID background identifier number
\param [in] taggerName name of the tagger
\param [in] etaPdf the eta PDF itself
\param [in] tagEff the tagging efficiency parameters
*/
void setBkgndParams(const TString& bkgndName, const TString& taggerName, LauAbsPdf* etaPdf, std::pair<Double_t, Double_t> tagEff);
+ //! Set background eta PDF for a given background and given tagger
+ /*!
+ \param [in] bkgndID background identifier number
+ \param [in] taggerName name of the tagger
+ \param [in] etaPdf the eta PDF itself
+ \param [in] tagEff the tagging efficiency histograms
+ */
+ void setBkgndParams(const TString& bkgndName, const TString& taggerName, LauAbsPdf* etaPdf, std::pair<TH1*, TH1*> tagEff);
+
const std::vector<Double_t>& getPerEvtAvgMistag() const {return perEvtAvgMistag_;};
//! Returns little omega (calibrated mistag)
/*!
\param [in] position index of the background source in the background vector(s)
\param [in] flag choose to calculate omega or omegabar (corrsonding to B or Bbar)
*/
Double_t getLittleOmega(const ULong_t position, const Flavour flag) const;
//! Capital Omega for signal decays
/*!
\param [in] position index of the background source in the background vector(s)
\param [in] flag choose to calculate Omega or Omegabar (corrsonding to B or Bbar)
*/
Double_t getCapitalOmega(const ULong_t position, const Flavour flag) const;
//! Capital Omega for backgrounds
/*!
\param [in] position index of the background source in the background vector(s)
\param [in] flag choose to calculate Omega or Omegabar (corrsonding to B or Bbar)
\param [in] type the background type
*/
Double_t getCapitalOmegaBkgnd(const ULong_t position, const Flavour flag, const UInt_t classID) const;
Double_t getEtaGen(const ULong_t position);
Double_t getEtaGenBkgnd(const ULong_t position, const ULong_t bkgndID);
//! Return the Boolean controlling if we use the alternative tagging calibration parameters
Bool_t getUseAveDelta() const {return useAveDelta_;};
void setTrueTagVarName(TString trueTagVarName);
void setDecayFlvVarName(TString decayFlvVarName);
//! Gaussian constraints for P0 parameters for a given tagger
/*!
\param [in] name name of the tagger
\param [in] constraint1 the (mean, sigma) for the particle or average parameter
\param [in] constraint2 the (mean, sigma) for the antiparticle or delta parameter
*/
void addP0GaussianConstraints(const TString name, const std::pair <Double_t, Double_t> constraint1, const std::pair <Double_t, Double_t> constraint2);
//! Gaussian constraints for P1 parameters for a given tagger
/*!
\param [in] name name of the tagger
\param [in] constraint1 the (mean, sigma) for the particle or average parameter
\param [in] constraint2 the (mean, sigma) for the antiparticle or delta parameter
*/
void addP1GaussianConstraints(const TString name, const std::pair <Double_t, Double_t> constraint1, const std::pair <Double_t, Double_t> constraint2);
//! Gaussian constraints for tagging efficiency parameters for a given tagger
/*!
\param [in] name name of the tagger
\param [in] constraint1 the (mean, sigma) for the particle or average parameter
\param [in] constraint2 the (mean, sigma) for the antiparticle or delta parameter
*/
void addTagEffGaussianConstraints(const TString name, const std::pair <Double_t, Double_t> constraint1, const std::pair <Double_t, Double_t> constraint2);
const std::vector<TString> getBkgndNames(){return bkgndNames_;};
const std::vector<BkgndType> getBkgndTypes(){return bkgndTypes_;};
+ protected:
+ //! Internal function to extend bkngd vectors
+ void extendBkgndVectors();
+
+ //! Internal function to setup Calib parameters
+ void setupCalibParams(const TString& name, const ULong_t position, const std::pair<Double_t,Double_t> calib_p0, const std::pair<Double_t,Double_t> calib_p1);
+
private:
//! Flag to use alternative calibration parameters
const Bool_t useAveDelta_;
//! Flag to use eta prime not eta for the mistag
const Bool_t useEtaPrime_;
//! Map to link taggers to their vector position
std::map<TString, ULong_t> taggerPosition_;
//! Flavour tagging variable name
std::vector<TString> tagVarNames_;
//! Per event mistag variable name
std::vector<TString> mistagVarNames_;
//! True tag variable name for normalisation decays
TString trueTagVarName_;
//! Decay flavour tag variable name for normalisation decays
TString decayFlvVarName_;
//! Vector of background names
std::vector<TString> bkgndNames_;
//! Vector of background types
std::vector<BkgndType> bkgndTypes_;
//! Vector of flavour tags for each event
std::vector<std::vector<Flavour>> evtTagFlv_;
//! Flavour tag for current event
std::vector<Flavour> curEvtTagFlv_;
//! Vector of mistags for each event
std::vector<std::vector<Double_t>> evtMistag_;
//! Per event mistag for current event
std::vector<Double_t> curEvtMistag_;
//! Vector of true tags for each event
std::vector<Flavour> evtTrueTagFlv_;
//! Vector of decay tags for each event
std::vector<Flavour> evtDecayFlv_;
//! True tag from normalisation mode for current event
Flavour curEvtTrueTagFlv_{Unknown};
//! True tag from normalisation mode for current event
Flavour curEvtDecayFlv_{Unknown};
//! Per-event average mistag value (eta hat)
std::vector<Double_t> perEvtAvgMistag_;
//! Decay time values for each event
std::vector<Double_t> evtDecayTime_;
//! Decay time value of the current event
Double_t curEvtDecayTime_;
//! Calibration parameters
std::vector<LauParameter*> calib_p0_B0_;
std::vector<LauParameter*> calib_p0_B0bar_;
std::vector<LauParameter*> calib_p1_B0_;
std::vector<LauParameter*> calib_p1_B0bar_;
//! Alternative calibration parameters
std::vector<LauParameter*> calib_p0_ave_;
std::vector<LauParameter*> calib_p0_delta_;
std::vector<LauParameter*> calib_p1_ave_;
std::vector<LauParameter*> calib_p1_delta_;
//! Tagging efficiency parameters
std::vector<LauParameter*> tagEff_B0_;
std::vector<LauParameter*> tagEff_B0bar_;
std::vector<LauParameter*> tagEff_ave_;
std::vector<LauParameter*> tagEff_delta_;
+ //! Tagging efficiency histograms
+ std::vector<TH1*> tagEff_hist_B0_;
+ std::vector<TH1*> tagEff_hist_B0bar_;
+ std::vector<TH1*> tagEff_hist_ave_;
+ std::vector<TH1*> tagEff_hist_delta_;
+
//! Tagging efficiency parameters for backgrounds
std::vector<std::vector<LauParameter*>> tagEffBkgnd_B0_;
std::vector<std::vector<LauParameter*>> tagEffBkgnd_B0bar_;
std::vector<std::vector<LauParameter*>> tagEffBkgnd_ave_;
std::vector<std::vector<LauParameter*>> tagEffBkgnd_delta_;
+ //! Tagging efficiency histograms for backgrounds
+ std::vector<std::vector<TH1*>> tagEffBkgnd_hist_B0_;
+ std::vector<std::vector<TH1*>> tagEffBkgnd_hist_B0bar_;
+ std::vector<std::vector<TH1*>> tagEffBkgnd_hist_ave_;
+ std::vector<std::vector<TH1*>> tagEffBkgnd_hist_delta_;
+
//! Eta PDFs
std::vector<LauAbsPdf*> etaPdfs_;
//! Eta PDFs for backgrounds per tagger (inner vec) and per background source (outer vec)
std::vector<std::vector<LauAbsPdf*>> etaBkgndPdfs_;
ClassDef(LauFlavTag,0) // Flavour tagging set up
};
#endif
diff --git a/src/LauFlavTag.cc b/src/LauFlavTag.cc
index b739dc0..494a68a 100644
--- a/src/LauFlavTag.cc
+++ b/src/LauFlavTag.cc
@@ -1,735 +1,917 @@
/*
Copyright 2017 University of Warwick
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
/*
Laura++ package authors:
John Back
Paul Harrison
Thomas Latham
*/
/*! \file LauFlavTag.cc
\brief File containing implementation of LauFlavTag class.
*/
#include <iostream>
#include <map>
#include <vector>
#include "TMath.h"
#include "TString.h"
#include "TSystem.h"
#include "Lau1DHistPdf.hh"
#include "LauAbsPdf.hh"
#include "LauFlavTag.hh"
#include "LauRandom.hh"
ClassImp(LauFlavTag)
LauFlavTag::LauFlavTag(const Bool_t useAveDelta, const Bool_t useEtaPrime, const std::map<TString,BkgndType> bkgndInfo) :
useAveDelta_(useAveDelta),
useEtaPrime_(useEtaPrime)
{
// Put map values into vectors
for (const auto &bkgnd : bkgndInfo){
bkgndNames_.push_back(bkgnd.first);
bkgndTypes_.push_back(bkgnd.second);
std::cout<< "INFO in LauFlavTag::LauFlavTag : adding background " << bkgnd.first << " of type " << bkgnd.second <<std::endl;
}
Int_t nBkgnds = bkgndNames_.size();
//Resize the outer vector for number of backgrounds. Inner vector extended per tagger in LauFlavTag::addTagger
if (nBkgnds > 0){
if (!useAveDelta_){
tagEffBkgnd_B0_.clear(); tagEffBkgnd_B0_.resize(nBkgnds);
tagEffBkgnd_B0bar_.clear(); tagEffBkgnd_B0bar_.resize(nBkgnds);
+ tagEffBkgnd_hist_B0_.clear(); tagEffBkgnd_hist_B0_.resize(nBkgnds);
+ tagEffBkgnd_hist_B0bar_.clear(); tagEffBkgnd_hist_B0bar_.resize(nBkgnds);
} else {
tagEffBkgnd_ave_.clear(); tagEffBkgnd_ave_.resize(nBkgnds);
tagEffBkgnd_delta_.clear(); tagEffBkgnd_delta_.resize(nBkgnds);
+ tagEffBkgnd_hist_ave_.clear(); tagEffBkgnd_hist_ave_.resize(nBkgnds);
+ tagEffBkgnd_hist_delta_.clear(); tagEffBkgnd_hist_delta_.resize(nBkgnds);
}
etaBkgndPdfs_.clear(); etaBkgndPdfs_.resize(nBkgnds);
}
}
void LauFlavTag::addTagger(const TString& name, const TString& tagVarName, const TString& mistagVarName, LauAbsPdf* etapdf, const std::pair<Double_t,Double_t> tagEff, const std::pair<Double_t,Double_t> calib_p0, const std::pair<Double_t,Double_t> calib_p1)
{
// Check that we don't already have a tagger with the same name
if ( taggerPosition_.find(name) != taggerPosition_.end() ) {
std::cerr << "ERROR in LauFlavTag::addTagger : tagger called " << name << " already added" << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
// Check that the PDF pointer is valid
if ( not etapdf ) {
std::cerr << "ERROR in LauFlavTag::addTagger : Eta PDF pointer is NULL" << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
// Find how many taggers have already been added
const ULong_t position { tagVarNames_.size() };
// Update map to relate tagger name and position in the vectors
taggerPosition_[name] = position;
// Fill vectors
tagVarNames_.push_back(tagVarName);
mistagVarNames_.push_back(mistagVarName);
curEvtTagFlv_.push_back(Flavour::Unknown);
curEvtMistag_.push_back(Flavour::Unknown);
// Extend background vectors
+ this->extendBkgndVectors();
+
+ etaPdfs_.push_back(etapdf);
+ Lau1DHistPdf* etahistpdf = dynamic_cast<Lau1DHistPdf*>(etapdf);
+ if (etahistpdf){
+ perEvtAvgMistag_.push_back(etahistpdf->getMean());
+ } else {
+ std::cerr << "WARNING in LauFlavTag::addTagger : Couldn't determine average eta value from PDF. Setting it to 0.4." << std::endl;
+ perEvtAvgMistag_.push_back(0.4);
+ }
+
+ //Calib parameters
+ this->setupCalibParams(name,position,calib_p0,calib_p1);
+
+ //Tagging efficiencies
+ if (!useAveDelta_){
+ TString tagEff_b0Name("tagEff_b0_"+name);
+ TString tagEff_b0barName("tagEff_b0bar_"+name);
+
+ LauParameter* tageffb0 = new LauParameter(tagEff_b0Name,tagEff.first,0.0,1.0,kTRUE);
+ tagEff_B0_.push_back(tageffb0);
+ tagEff_B0_[position]->initValue(tagEff.first); tagEff_B0_[position]->genValue(tagEff.first);
+ tagEff_B0_[position]->fixed(kTRUE); //Update once full code in place
+
+ if (tagEff.second==-1.0){
+ tagEff_B0bar_.push_back(tagEff_B0_[position]->createClone(tagEff_b0barName));
+ } else {
+ LauParameter* tageffb0bar = new LauParameter(tagEff_b0barName,tagEff.second,0.0,1.0,kTRUE);
+ tagEff_B0bar_.push_back(tageffb0bar);
+ tagEff_B0bar_[position]->initValue(tagEff.second); tagEff_B0bar_[position]->genValue(tagEff.second);
+ tagEff_B0bar_[position]->fixed(kTRUE); //Update once full code in place
+ }
+
+ } else { //Use average and delta variables
+ TString tagEff_aveName("tagEff_ave_"+name);
+ TString tagEff_deltaName("tagEff_delta_"+name);
+
+ LauParameter* tageffave = new LauParameter(tagEff_aveName,tagEff.first,0.0,1.0,kTRUE);
+ tagEff_ave_.push_back(tageffave);
+ tagEff_ave_[position]->initValue(tagEff.first); tagEff_ave_[position]->genValue(tagEff.first);
+ tagEff_ave_[position]->fixed(kTRUE); //Update once full code in place
+
+ LauParameter* tageffdelta = new LauParameter(tagEff_deltaName,tagEff.second,-1.0,1.0,kTRUE);
+ tagEff_delta_.push_back(tageffdelta);
+ tagEff_delta_[position]->initValue(tagEff.second); tagEff_delta_[position]->genValue(tagEff.second);
+ tagEff_delta_[position]->fixed(kTRUE); //Update once full code in place
+ }
+
+ std::cout<<"INFO in LauFlavTag::addTagger : Added tagger with name "<< name << std::endl;
+}
+
+void LauFlavTag::addTagger(const TString& name, const TString& tagVarName, const TString& mistagVarName, LauAbsPdf* etapdf, const std::pair<TH1*,TH1*> tagEff, const std::pair<Double_t,Double_t> calib_p0, const std::pair<Double_t,Double_t> calib_p1)
+{
+ // Check that we don't already have a tagger with the same name
+ if ( taggerPosition_.find(name) != taggerPosition_.end() ) {
+ std::cerr << "ERROR in LauFlavTag::addTagger : tagger called " << name << " already added" << std::endl;
+ gSystem->Exit(EXIT_FAILURE);
+ }
+
+ // Check that the PDF pointer is valid
+ if ( not etapdf ) {
+ std::cerr << "ERROR in LauFlavTag::addTagger : Eta PDF pointer is NULL" << std::endl;
+ gSystem->Exit(EXIT_FAILURE);
+ }
+
+ // Find how many taggers have already been added
+ const ULong_t position { tagVarNames_.size() };
+
+ // Update map to relate tagger name and position in the vectors
+ taggerPosition_[name] = position;
+
+ // Fill vectors
+ tagVarNames_.push_back(tagVarName);
+ mistagVarNames_.push_back(mistagVarName);
+ curEvtTagFlv_.push_back(Flavour::Unknown);
+ curEvtMistag_.push_back(Flavour::Unknown);
+ // Extend background vectors
+ this->extendBkgndVectors();
+
+ etaPdfs_.push_back(etapdf);
+ Lau1DHistPdf* etahistpdf = dynamic_cast<Lau1DHistPdf*>(etapdf);
+ if (etahistpdf){
+ perEvtAvgMistag_.push_back(etahistpdf->getMean());
+ } else {
+ std::cerr << "WARNING in LauFlavTag::addTagger : Couldn't determine average eta value from PDF. Setting it to 0.4." << std::endl;
+ perEvtAvgMistag_.push_back(0.4);
+ }
+
+ //Calib parameters
+ this->setupCalibParams(name,position,calib_p0,calib_p1);
+
+ //Tagging efficiencies
+ if (!useAveDelta_){
+ tagEff_hist_B0_.push_back(tagEff.first);
+ tagEff_B0_.push_back(nullptr);
+
+ if (tagEff.second==nullptr){
+ tagEff_hist_B0bar_.push_back(tagEff.first);
+ tagEff_B0bar_.push_back(nullptr);
+ } else {
+ tagEff_hist_B0bar_.push_back(tagEff.second);
+ tagEff_B0bar_.push_back(nullptr);
+ }
+
+ } else { //Use average and delta variables
+ tagEff_hist_ave_.push_back(tagEff.first);
+ tagEff_hist_delta_.push_back(tagEff.second);
+ tagEff_ave_.push_back(nullptr);
+ tagEff_delta_.push_back(nullptr);
+ }
+
+ std::cout<<"INFO in LauFlavTag::addTagger : Added tagger with name "<< name << std::endl;
+}
+
+void LauFlavTag::extendBkgndVectors(){
if (bkgndNames_.size()>0){
if (!useAveDelta_){
for (std::vector<std::vector<LauParameter*>>::iterator iter = tagEffBkgnd_B0_.begin(); iter != tagEffBkgnd_B0_.end(); ++iter){
iter->push_back(nullptr);
}
+ for (std::vector<std::vector<TH1*>>::iterator iter = tagEffBkgnd_hist_B0_.begin(); iter != tagEffBkgnd_hist_B0_.end(); ++iter){
+ iter->push_back(nullptr);
+ }
for (std::vector<std::vector<LauParameter*>>::iterator iter = tagEffBkgnd_B0bar_.begin(); iter != tagEffBkgnd_B0bar_.end(); ++iter){
iter->push_back(nullptr);
}
+ for (std::vector<std::vector<TH1*>>::iterator iter = tagEffBkgnd_hist_B0bar_.begin(); iter != tagEffBkgnd_hist_B0bar_.end(); ++iter){
+ iter->push_back(nullptr);
+ }
} else {
for (std::vector<std::vector<LauParameter*>>::iterator iter = tagEffBkgnd_ave_.begin(); iter != tagEffBkgnd_ave_.end(); ++iter){
iter->push_back(nullptr);
}
+ for (std::vector<std::vector<TH1*>>::iterator iter = tagEffBkgnd_hist_ave_.begin(); iter != tagEffBkgnd_hist_ave_.end(); ++iter){
+ iter->push_back(nullptr);
+ }
for (std::vector<std::vector<LauParameter*>>::iterator iter = tagEffBkgnd_delta_.begin(); iter != tagEffBkgnd_delta_.end(); ++iter){
iter->push_back(nullptr);
}
+ for (std::vector<std::vector<TH1*>>::iterator iter = tagEffBkgnd_hist_delta_.begin(); iter != tagEffBkgnd_hist_delta_.end(); ++iter){
+ iter->push_back(nullptr);
+ }
}
for (std::vector<std::vector<LauAbsPdf*>>::iterator iter = etaBkgndPdfs_.begin(); iter != etaBkgndPdfs_.end(); ++iter){
iter->push_back(nullptr);
}
}
+}
- etaPdfs_.push_back(etapdf);
- Lau1DHistPdf* etahistpdf = dynamic_cast<Lau1DHistPdf*>(etapdf);
- if (etahistpdf){
- perEvtAvgMistag_.push_back(etahistpdf->getMean());
- } else {
- std::cerr << "WARNING in LauFlavTag::addTagger : Couldn't determine average eta value from PDF. Setting it to 0.4." << std::endl;
- perEvtAvgMistag_.push_back(0.4);
- }
-
- //Use particle/antiparticle variables
+void LauFlavTag::setupCalibParams(const TString& name, const ULong_t position, const std::pair<Double_t,Double_t> calib_p0, const std::pair<Double_t,Double_t> calib_p1)
+{
if (!useAveDelta_){
-
- TString tagEff_b0Name("tagEff_b0_"+name);
- TString tagEff_b0barName("tagEff_b0bar_"+name);
TString calib_p0_b0Name("calib_p0_b0_"+name);
TString calib_p0_b0barName("calib_p0_b0bar_"+name);
TString calib_p1_b0Name("calib_p1_b0_"+name);
TString calib_p1_b0barName("calib_p1_b0bar_"+name);
- LauParameter* tageffb0 = new LauParameter(tagEff_b0Name,tagEff.first,0.0,1.0,kTRUE);
- tagEff_B0_.push_back(tageffb0);
- tagEff_B0_[position]->initValue(tagEff.first); tagEff_B0_[position]->genValue(tagEff.first);
- tagEff_B0_[position]->fixed(kTRUE); //Update once full code in place
-
LauParameter* calibp0b0 = new LauParameter(calib_p0_b0Name,calib_p0.first,-10.0,10.0,kTRUE);
calib_p0_B0_.push_back(calibp0b0);
calib_p0_B0_[position]->initValue(calib_p0.first); calib_p0_B0_[position]->genValue(calib_p0.first);
calib_p0_B0_[position]->fixed(kTRUE); //Update once full code in place
LauParameter* calibp1b0 = new LauParameter(calib_p1_b0Name,calib_p1.first,0.0,1.5,kTRUE);
calib_p1_B0_.push_back(calibp1b0);
calib_p1_B0_[position]->initValue(calib_p1.first); calib_p1_B0_[position]->genValue(calib_p1.first);
calib_p1_B0_[position]->fixed(kTRUE); //Update once full code in place
- if (tagEff.second==-1.0 && calib_p0.second==-1.0 && calib_p1.second==-1.0){
- tagEff_B0bar_.push_back(tagEff_B0_[position]->createClone(tagEff_b0barName));
+ if (calib_p0.second==-1.0 && calib_p1.second==-1.0){
calib_p0_B0bar_.push_back(calib_p0_B0_[position]->createClone(calib_p0_b0barName));
calib_p1_B0bar_.push_back(calib_p1_B0_[position]->createClone(calib_p1_b0barName));
} else {
- LauParameter* tageffb0bar = new LauParameter(tagEff_b0barName,tagEff.second,0.0,1.0,kTRUE);
- tagEff_B0bar_.push_back(tageffb0bar);
- tagEff_B0bar_[position]->initValue(tagEff.second); tagEff_B0bar_[position]->genValue(tagEff.second);
- tagEff_B0bar_[position]->fixed(kTRUE); //Update once full code in place
-
LauParameter* calibp0b0bar = new LauParameter(calib_p0_b0barName,calib_p0.second,-10.0,10.0,kTRUE);
calib_p0_B0bar_.push_back(calibp0b0bar);
calib_p0_B0bar_[position]->initValue(calib_p0.second); calib_p0_B0bar_[position]->genValue(calib_p0.second);
calib_p0_B0bar_[position]->fixed(kTRUE); //Update once full code in place
LauParameter* calibp1b0bar = new LauParameter(calib_p1_b0barName,calib_p1.second,0.0,1.5,kTRUE);
calib_p1_B0bar_.push_back(calibp1b0bar);
calib_p1_B0bar_[position]->initValue(calib_p1.second); calib_p1_B0bar_[position]->genValue(calib_p1.second);
calib_p1_B0bar_[position]->fixed(kTRUE); //Update once full code in place
}
} else { //Use average and delta variables
-
- TString tagEff_aveName("tagEff_ave_"+name);
- TString tagEff_deltaName("tagEff_delta_"+name);
TString calib_p0_aveName("calib_p0_ave_"+name);
TString calib_p0_deltaName("calib_p0_delta_"+name);
TString calib_p1_aveName("calib_p1_ave_"+name);
TString calib_p1_deltaName("calib_p1_delta_"+name);
- LauParameter* tageffave = new LauParameter(tagEff_aveName,tagEff.first,0.0,1.0,kTRUE);
- tagEff_ave_.push_back(tageffave);
- tagEff_ave_[position]->initValue(tagEff.first); tagEff_ave_[position]->genValue(tagEff.first);
- tagEff_ave_[position]->fixed(kTRUE); //Update once full code in place
-
LauParameter* calibp0ave = new LauParameter(calib_p0_aveName,calib_p0.first,-10.0,10.0,kTRUE);
calib_p0_ave_.push_back(calibp0ave);
calib_p0_ave_[position]->initValue(calib_p0.first); calib_p0_ave_[position]->genValue(calib_p0.first);
calib_p0_ave_[position]->fixed(kTRUE); //Update once full code in place
LauParameter* calibp1ave = new LauParameter(calib_p1_aveName,calib_p1.first,0.0,1.5,kTRUE);
calib_p1_ave_.push_back(calibp1ave);
calib_p1_ave_[position]->initValue(calib_p1.first); calib_p1_ave_[position]->genValue(calib_p1.first);
calib_p1_ave_[position]->fixed(kTRUE); //Update once full code in place
- LauParameter* tageffdelta = new LauParameter(tagEff_deltaName,tagEff.second,-1.0,1.0,kTRUE);
- tagEff_delta_.push_back(tageffdelta);
- tagEff_delta_[position]->initValue(tagEff.second); tagEff_delta_[position]->genValue(tagEff.second);
- tagEff_delta_[position]->fixed(kTRUE); //Update once full code in place
-
LauParameter* calibp0delta = new LauParameter(calib_p0_deltaName,calib_p0.second,-10.0,10.0,kTRUE);
calib_p0_delta_.push_back(calibp0delta);
calib_p0_delta_[position]->initValue(calib_p0.second); calib_p0_delta_[position]->genValue(calib_p0.second);
calib_p0_delta_[position]->fixed(kTRUE); //Update once full code in place
LauParameter* calibp1delta = new LauParameter(calib_p1_deltaName,calib_p1.second,-10.0,10.0,kTRUE);
calib_p1_delta_.push_back(calibp1delta);
calib_p1_delta_[position]->initValue(calib_p1.second); calib_p1_delta_[position]->genValue(calib_p1.second);
calib_p1_delta_[position]->fixed(kTRUE); //Update once full code in place
-
}
-
- std::cout<<"INFO in LauFlavTag::addTagger : Added tagger with name "<< name << std::endl;
}
void LauFlavTag::cacheInputFitVars(LauFitDataTree* inputFitData, const TString& decayTimeVarName)
{
evtTagFlv_.clear();
evtMistag_.clear();
evtTrueTagFlv_.clear();
evtDecayFlv_.clear();
evtDecayTime_.clear();
// Loop over the taggers to check the branches
for (ULong_t i=0; i < tagVarNames_.size(); ++i){
if ( not inputFitData->haveBranch( tagVarNames_[i] ) ) {
std::cerr << "ERROR in LauFlavTag::cacheInputFitVars : Input data does not contain branch \"" << tagVarNames_[i] << "\"." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
if ( not inputFitData->haveBranch( mistagVarNames_[i] ) ) {
std::cerr << "ERROR in LauFlavTag::cacheInputFitVars : Input data does not contain branch \"" << mistagVarNames_[i] << "\"." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
}
if ( trueTagVarName_ != "" and not inputFitData->haveBranch( trueTagVarName_ ) ) {
std::cerr << "ERROR in LauFlavTag::cacheInputFitVars : Input data does not contain branch \"" << trueTagVarName_ << "\"." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
if ( decayFlvVarName_ != "" and not inputFitData->haveBranch( decayFlvVarName_ ) ) {
std::cerr << "ERROR in LauFlavTag::cacheInputFitVars : Input data does not contain branch \"" << decayFlvVarName_ << "\"." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
if ( decayTimeVarName != "" and not inputFitData->haveBranch( decayTimeVarName ) ) {
std::cerr << "ERROR in LauFlavTag::cacheInputFitVars : Input data does not contain branch \"" << decayTimeVarName << "\"." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
const ULong_t nEvents { inputFitData->nEvents() };
evtTagFlv_.reserve( nEvents );
evtMistag_.reserve( nEvents );
evtTrueTagFlv_.reserve( nEvents );
evtDecayFlv_.reserve( nEvents );
evtDecayTime_.reserve( nEvents );
LauFitData::const_iterator fitdata_iter;
for (ULong_t iEvt = 0; iEvt < nEvents; iEvt++) {
const LauFitData& dataValues = inputFitData->getData(iEvt);
// For untagged events see if we have a truth tag for normalisation modes
Int_t curEvtTrueTagFlv { ( trueTagVarName_ != "" ) ? static_cast<Int_t>( dataValues.at( trueTagVarName_ ) ) : 0 };
if ( curEvtTrueTagFlv > 1 ) {
std::cerr << "WARNING in LauFlavTag::cacheInputFitVars : Invalid true tag value " << curEvtTrueTagFlv << " for event " << iEvt << ", setting it to +1" << std::endl;
curEvtTrueTagFlv = +1;
} else if ( curEvtTrueTagFlv < -1 ){
std::cerr << "WARNING in LauFlavTag::cacheInputFitVars : Invalid true tag value " << curEvtTrueTagFlv << " for event " << iEvt << ", setting it to -1" << std::endl;
curEvtTrueTagFlv = -1;
}
curEvtTrueTagFlv_ = static_cast<Flavour>(curEvtTrueTagFlv);
evtTrueTagFlv_.push_back(curEvtTrueTagFlv_);
// Flavour at decay
Int_t curEvtDecayFlv { ( decayFlvVarName_ != "" ) ? static_cast<Int_t>( dataValues.at( decayFlvVarName_ ) ) : 0 };
if ( curEvtDecayFlv > 1 ) {
std::cerr << "WARNING in LauFlavTag::cacheInputFitVars : Invalid decay flavour value " << curEvtDecayFlv << " for event " << iEvt << ", setting it to +1" << std::endl;
curEvtDecayFlv = +1;
} else if ( curEvtDecayFlv < -1 ){
std::cerr << "WARNING in LauFlavTag::cacheInputFitVars : Invalid decay flavour value " << curEvtDecayFlv << " for event " << iEvt << ", setting it to -1" << std::endl;
curEvtDecayFlv = -1;
}
curEvtDecayFlv_ = static_cast<Flavour>(curEvtDecayFlv);
evtDecayFlv_.push_back(curEvtDecayFlv_);
for (ULong_t i=0; i < tagVarNames_.size(); ++i){
Int_t curEvtTagFlv { static_cast<Int_t>( dataValues.at( tagVarNames_[i] ) ) };
if ( curEvtTagFlv > 1 ) {
std::cerr << "WARNING in LauFlavTag::cacheInputFitVars : Invalid tagging output " << curEvtTagFlv << " for event " << iEvt << ", setting it to +1" << std::endl;
curEvtTagFlv = +1;
} else if ( curEvtTagFlv < -1 ) {
std::cerr << "WARNING in LauFlavTag::cacheInputFitVars : Invalid tagging output " << curEvtTagFlv << " for event " << iEvt << ", setting it to -1" << std::endl;
curEvtTagFlv = -1;
}
curEvtTagFlv_[i] = static_cast<Flavour>( curEvtTagFlv );
curEvtMistag_[i] = static_cast<Double_t>( dataValues.at( mistagVarNames_[i] ) );
// Calibrated mistag > 0.5 is just a tag flip - handled automatically in getCapitalOmega function
if (curEvtMistag_[i] > 0.5){
std::cerr<<"WARNING in LauFlavTag::cacheInputFitVars : Mistag value "<<curEvtMistag_[i]<<" is larger than 0.5, setting to 0.5"<<std::endl;
curEvtMistag_[i] = 0.5;
}
if (curEvtMistag_[i] < 0.0){
std::cerr<<"WARNING in LauFlavTag::cacheInputFitVars : Mistag value "<<curEvtMistag_[i]<<" is less than 0.0, setting to 0.0"<<std::endl;
curEvtMistag_[i] = 0.0;
}
}
evtTagFlv_.push_back(curEvtTagFlv_);
evtMistag_.push_back(curEvtMistag_);
curEvtDecayTime_ = static_cast<Double_t>( dataValues.at( decayTimeVarName ) );
evtDecayTime_.push_back(curEvtDecayTime_);
}
}
void LauFlavTag::updateEventInfo(const ULong_t iEvt)
{
//Assign current event variables
curEvtTagFlv_ = evtTagFlv_[iEvt];
curEvtMistag_ = evtMistag_[iEvt];
curEvtTrueTagFlv_ = evtTrueTagFlv_[iEvt];
curEvtDecayFlv_ = evtDecayFlv_[iEvt];
curEvtDecayTime_ = evtDecayTime_[iEvt];
}
-void LauFlavTag::generateEventInfo(const Flavour trueTagFlv)
+void LauFlavTag::generateEventInfo(const Flavour trueTagFlv, const Double_t curEvtDecayTime)
{
curEvtTrueTagFlv_ = trueTagFlv;
curEvtDecayFlv_ = Flavour::Unknown;
+ curEvtDecayTime_ = curEvtDecayTime;
Double_t randNo{0.0};
Double_t tagEffB0{0.0};
Double_t tagEffB0bar{0.0};
const ULong_t nTaggers { this->getNTaggers() };
for ( ULong_t position{0}; position<nTaggers; ++position ) {
this->getEtaGen(position);
if (this->getUseAveDelta()) {
- tagEffB0 = tagEff_ave_[position]->unblindValue() + 0.5 * tagEff_delta_[position]->unblindValue();
- tagEffB0bar = tagEff_ave_[position]->unblindValue() - 0.5 * tagEff_delta_[position]->unblindValue();
+ if (tagEff_ave_[position]==nullptr){
+ tagEffB0 = tagEff_hist_ave_[position]->GetBinContent(curEvtDecayTime_) + 0.5 * tagEff_hist_delta_[position]->GetBinContent(curEvtDecayTime_);
+ tagEffB0bar = tagEff_hist_ave_[position]->GetBinContent(curEvtDecayTime_) - 0.5 * tagEff_hist_delta_[position]->GetBinContent(curEvtDecayTime_);
+ } else {
+ tagEffB0 = tagEff_ave_[position]->unblindValue() + 0.5 * tagEff_delta_[position]->unblindValue();
+ tagEffB0bar = tagEff_ave_[position]->unblindValue() - 0.5 * tagEff_delta_[position]->unblindValue();
+ }
} else {
- tagEffB0 = tagEff_B0_[position]->unblindValue();
- tagEffB0bar = tagEff_B0bar_[position]->unblindValue();
+ if (tagEff_B0_[position]==nullptr){
+ tagEffB0 = tagEff_hist_B0_[position]->GetBinContent(curEvtDecayTime_);
+ tagEffB0bar = tagEff_hist_B0bar_[position]->GetBinContent(curEvtDecayTime_);
+ } else {
+ tagEffB0 = tagEff_B0_[position]->unblindValue();
+ tagEffB0bar = tagEff_B0bar_[position]->unblindValue();
+ }
}
if (curEvtTrueTagFlv_ == Flavour::B) {
randNo = LauRandom::randomFun()->Rndm();
// Try to tag in tageff% of cases
if (randNo <= tagEffB0) {
randNo = LauRandom::randomFun()->Rndm();
// Account for (calibrated) mistag
if (randNo > this->getLittleOmega(position, Flavour::B)){
curEvtTagFlv_[position] = Flavour::B;
} else {
curEvtTagFlv_[position] = Flavour::Bbar;
}
} else {
curEvtTagFlv_[position] = Flavour::Unknown;
}
} else if (curEvtTrueTagFlv_ == Flavour::Bbar) {
randNo = LauRandom::randomFun()->Rndm();
// Try to tag in tageff% of cases
if (randNo <= tagEffB0bar) {
randNo = LauRandom::randomFun()->Rndm();
// Account for (calibrated) mistag
if (randNo > this->getLittleOmega(position, Flavour::Bbar)){
curEvtTagFlv_[position] = Flavour::Bbar;
} else {
curEvtTagFlv_[position] = Flavour::B;
}
} else {
curEvtTagFlv_[position] = Flavour::Unknown;
}
} else {
std::cerr << "ERROR in LauFlavTag::generateEventInfo : Invalid true tag flavour, should be either B (+1) or Bbar (-1)" << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
}
}
-void LauFlavTag::generateBkgndEventInfo(const Flavour trueTagFlv, const ULong_t bkgndID)
+void LauFlavTag::generateBkgndEventInfo(const Flavour trueTagFlv, const Double_t curEvtDecayTime, const ULong_t bkgndID)
{
if (bkgndID < 0 || bkgndID > bkgndNames_.size()){
std::cerr << "ERROR in LauFlavTag::generateBkgndEventInfo : Invalid backgrond class identifier" << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
curEvtTrueTagFlv_ = trueTagFlv;
curEvtDecayFlv_ = Flavour::Unknown;
+ curEvtDecayTime_ = curEvtDecayTime;
Double_t randNo{0.0};
Double_t tagEffB0{0.0};
Double_t tagEffB0bar{0.0};
const ULong_t nTaggers { this->getNTaggers() };
for ( ULong_t position{0}; position<nTaggers; ++position ) {
this->getEtaGenBkgnd(position,bkgndID);
//TODO If bkgnd is signal like should these parameters be clones of signal TagEff etc?
//TODO Or call generateEventInfo() instead?
if (this->getUseAveDelta()) {
- tagEffB0 = tagEffBkgnd_ave_[bkgndID][position]->unblindValue() + 0.5 * tagEffBkgnd_delta_[bkgndID][position]->unblindValue();
- tagEffB0bar = tagEffBkgnd_ave_[bkgndID][position]->unblindValue() - 0.5 * tagEffBkgnd_delta_[bkgndID][position]->unblindValue();
+ if (tagEffBkgnd_ave_[bkgndID][position]==nullptr){
+ tagEffB0 = tagEffBkgnd_hist_ave_[bkgndID][position]->GetBinContent(curEvtDecayTime_) + 0.5*tagEffBkgnd_hist_delta_[bkgndID][position]->GetBinContent(curEvtDecayTime_) ;
+ tagEffB0bar = tagEffBkgnd_hist_ave_[bkgndID][position]->GetBinContent(curEvtDecayTime_) + 0.5*tagEffBkgnd_hist_delta_[bkgndID][position]->GetBinContent(curEvtDecayTime_);
+ } else {
+ tagEffB0 = tagEffBkgnd_ave_[bkgndID][position]->unblindValue() + 0.5 * tagEffBkgnd_delta_[bkgndID][position]->unblindValue();
+ tagEffB0bar = tagEffBkgnd_ave_[bkgndID][position]->unblindValue() - 0.5 * tagEffBkgnd_delta_[bkgndID][position]->unblindValue();
+ }
} else {
- tagEffB0 = tagEffBkgnd_B0_[bkgndID][position]->unblindValue();
- tagEffB0bar = tagEffBkgnd_B0bar_[bkgndID][position]->unblindValue();
+ if (tagEffBkgnd_B0_[bkgndID][position]==nullptr){
+ tagEffB0 = tagEffBkgnd_hist_B0_[bkgndID][position]->GetBinContent(curEvtDecayTime_);
+ tagEffB0bar = tagEffBkgnd_hist_B0bar_[bkgndID][position]->GetBinContent(curEvtDecayTime_);
+ } else {
+ tagEffB0 = tagEffBkgnd_B0_[bkgndID][position]->unblindValue();
+ tagEffB0bar = tagEffBkgnd_B0bar_[bkgndID][position]->unblindValue();
+ }
}
if (curEvtTrueTagFlv_ == Flavour::B) {
randNo = LauRandom::randomFun()->Rndm();
// Try to tag in tageff% of cases
if (randNo <= tagEffB0) {
randNo = LauRandom::randomFun()->Rndm();
// Account for mistag - use eta not littleOmega for now (littleOmega only for SignalLike bkgnd?)
//if (randNo > this->getLittleOmega(position, Flavour::B)){
if (randNo > curEvtMistag_[position]){
curEvtTagFlv_[position] = Flavour::B;
} else {
curEvtTagFlv_[position] = Flavour::Bbar;
}
} else {
curEvtTagFlv_[position] = Flavour::Unknown;
}
} else if (curEvtTrueTagFlv_ == Flavour::Bbar) {
randNo = LauRandom::randomFun()->Rndm();
// Try to tag in tageff% of cases
if (randNo <= tagEffB0bar) {
randNo = LauRandom::randomFun()->Rndm();
// Account for (calibrated) mistag
//if (randNo > this->getLittleOmega(position, Flavour::Bbar)){
if (randNo > curEvtMistag_[position]){
curEvtTagFlv_[position] = Flavour::Bbar;
} else {
curEvtTagFlv_[position] = Flavour::B;
}
} else {
curEvtTagFlv_[position] = Flavour::Unknown;
}
} else {
std::cerr << "ERROR in LauFlavTag::generateBkgndEventInfo : Invalid true tag flavour, should be either B (+1) or Bbar (-1)" << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
}
}
Double_t LauFlavTag::getLittleOmega(const ULong_t position, const Flavour flag) const
{
if ( flag == Flavour::Unknown ){
std::cerr << "ERROR in LauFlavTag::getLittleOmega : Invalid flag, you must request either omega (+1) or omega bar (-1) to be returned" << std::endl;
return 0.0;
}
Double_t calibp0(0.), calibp1(0.), calibp0bar(0.), calibp1bar(0.);
//If we are floating average omega and delta omega we need to use those parameters instead
if (useAveDelta_){
calibp0 = calib_p0_ave_[position]->unblindValue() + 0.5*calib_p0_delta_[position]->unblindValue();
calibp0bar = calib_p0_ave_[position]->unblindValue() - 0.5*calib_p0_delta_[position]->unblindValue();
calibp1 = calib_p1_ave_[position]->unblindValue() + 0.5*calib_p1_delta_[position]->unblindValue();
calibp1bar = calib_p1_ave_[position]->unblindValue() - 0.5*calib_p1_delta_[position]->unblindValue();
} else {
calibp0 = calib_p0_B0_[position]->unblindValue();
calibp0bar = calib_p0_B0bar_[position]->unblindValue();
calibp1 = calib_p1_B0_[position]->unblindValue();
calibp1bar = calib_p1_B0bar_[position]->unblindValue();
}
if ( flag == Flavour::B ){
return calibp0 + calibp1 * (curEvtMistag_[position] - perEvtAvgMistag_[position]);
}
else{
return calibp0bar + calibp1bar * (curEvtMistag_[position] - perEvtAvgMistag_[position]);
}
return 0.0;
}
Double_t LauFlavTag::getCapitalOmega(const ULong_t position, const Flavour flag) const
{
if ( flag == Flavour::Unknown ){
std::cerr << "ERROR in LauFlavTag::getCapitalOmega : Invalid flag, you must request either Omega (+1) or Omega bar (-1) to be returned" << std::endl;
return 0.0;
}
//Delta functions to control which terms contribute
Int_t deltap1(0), deltam1(0), delta0(0);
if (curEvtTagFlv_[position] == Flavour::Bbar){
deltam1 = 1;
} else if(curEvtTagFlv_[position] == Flavour::B){
deltap1 = 1;
} else{
delta0 = 1;
}
//Efficiency
Double_t eff(0.0);
if (useAveDelta_){
if(flag==Flavour::B){
- eff = tagEff_ave_[position]->unblindValue() + 0.5*tagEff_delta_[position]->unblindValue();
+ if (tagEff_ave_[position]==nullptr){
+ eff = tagEff_hist_ave_[position]->GetBinContent(curEvtDecayTime_) + 0.5*tagEff_hist_delta_[position]->GetBinContent(curEvtDecayTime_);
+ } else {
+ eff = tagEff_ave_[position]->unblindValue() + 0.5*tagEff_delta_[position]->unblindValue();
+ }
} else {
- eff = tagEff_ave_[position]->unblindValue() - 0.5*tagEff_delta_[position]->unblindValue();
+ if (tagEff_ave_[position]==nullptr){
+ eff = tagEff_hist_ave_[position]->GetBinContent(curEvtDecayTime_) - 0.5*tagEff_hist_delta_[position]->GetBinContent(curEvtDecayTime_);
+ } else {
+ eff = tagEff_ave_[position]->unblindValue() - 0.5*tagEff_delta_[position]->unblindValue();
+ }
}
}else{
if(flag==Flavour::B){
- eff = tagEff_B0_[position]->unblindValue();
+ if (tagEff_B0_[position]==nullptr){
+ eff = tagEff_hist_B0_[position]->GetBinContent(curEvtDecayTime_);
+ } else {
+ eff = tagEff_B0_[position]->unblindValue();
+ }
}else{
- eff = tagEff_B0bar_[position]->unblindValue();
+ if (tagEff_B0bar_[position]==nullptr){
+ eff = tagEff_hist_B0bar_[position]->GetBinContent(curEvtDecayTime_);
+ } else {
+ eff = tagEff_B0bar_[position]->unblindValue();
+ }
}
}
//Little omega
Double_t omega = this->getLittleOmega(position, flag);
Double_t omegaPrime(0.);
//Transform to omega prime - TODO isn't this the inverse, getLittleOmega is actually giving us omegaPrime and on the next line we convert back to omega?
if (useEtaPrime_){
omegaPrime = (1/(1+TMath::Exp(-1.0*omega)));
}else{
omegaPrime = omega;
}
//little omega must be between 0 and 1. Force this for now, if the fits keep getting stuck can look more closely at it.
if (omegaPrime < 0.0){
std::cerr << "WARNING in LauFlavTag::getCapitalOmega : The value of little omega is less than 0, shifting to 0" << std::endl;
omegaPrime = 0.0;
}
if (omegaPrime > 1.0){
std::cerr << "WARNING in LauFlavTag::getCapitalOmega : The value of little omega is greater than 1, shifting to 1" << std::endl;
omegaPrime = 1.0;
}
//eta PDF value
std::vector<Double_t> abs;
abs.push_back(curEvtMistag_[position]);
etaPdfs_[position]->calcLikelihoodInfo(abs);
Double_t h { etaPdfs_[position]->getLikelihood() };
const Double_t u { 2.0 }; // the PDF value for a uniform PDF between 0.0 and 0.5
//If h returns 0 for a tagged event, the event likelihood will be zero
if (h==0 && delta0==0){
std::cerr << "WARNING in LauFlavTag::getCapitalOmega : The value of the eta PDF is zero at eta = " << curEvtMistag_[position] << ", shifting to 0.1" << std::endl;
h=0.1;
}
//Put it together
if (flag == Flavour::B){
return (deltap1*eff*(1-omegaPrime) + deltam1*eff*omegaPrime)*h + delta0*(1-eff)*u;
} else {
return (deltam1*eff*(1-omegaPrime) + deltap1*eff*omegaPrime)*h + delta0*(1-eff)*u;
}
}
Double_t LauFlavTag::getCapitalOmegaBkgnd(const ULong_t position, const Flavour flag, const UInt_t classID) const
{
//Fill in with the various options of flag = +-1, type = signal-like, combinatorial etc
if ( flag == Flavour::Unknown ){
std::cerr << "ERROR in LauFlavTag::getCapitalOmegaBkgnd : Invalid flag, you must request either Omega (+1) or Omega bar (-1) to be returned" << std::endl;
return 0.0;
}
//Delta functions to control which terms contribute
Int_t deltap1(0), deltam1(0), delta0(0);
if (curEvtTagFlv_[position] == Flavour::Bbar){
deltam1 = 1;
} else if(curEvtTagFlv_[position] == Flavour::B){
deltap1 = 1;
} else{
delta0 = 1;
}
//Efficiency
Double_t effB0(0.0), effB0bar(0.0);
if (useAveDelta_){
if(flag==Flavour::B){
- effB0 = tagEffBkgnd_ave_[classID][position]->unblindValue() + 0.5*tagEffBkgnd_delta_[classID][position]->unblindValue();
+ if (tagEffBkgnd_ave_[classID][position]==nullptr){
+ effB0 = tagEffBkgnd_hist_ave_[classID][position]->GetBinContent(curEvtDecayTime_) + 0.5*tagEffBkgnd_hist_delta_[classID][position]->GetBinContent(curEvtDecayTime_);
+ } else {
+ effB0 = tagEffBkgnd_ave_[classID][position]->unblindValue() + 0.5*tagEffBkgnd_delta_[classID][position]->unblindValue();
+ }
} else {
- effB0bar = tagEffBkgnd_ave_[classID][position]->unblindValue() - 0.5*tagEffBkgnd_delta_[classID][position]->unblindValue();
+ if (tagEffBkgnd_ave_[classID][position]==nullptr){
+ effB0bar = tagEffBkgnd_hist_ave_[classID][position]->GetBinContent(curEvtDecayTime_) - 0.5*tagEffBkgnd_hist_delta_[classID][position]->GetBinContent(curEvtDecayTime_);
+ } else {
+ effB0bar = tagEffBkgnd_ave_[classID][position]->unblindValue() - 0.5*tagEffBkgnd_delta_[classID][position]->unblindValue();
+ }
}
}else{
if(flag==Flavour::B){
- effB0 = tagEffBkgnd_B0_[classID][position]->unblindValue();
+ if (tagEffBkgnd_B0_[classID][position]==nullptr){
+ effB0 = tagEffBkgnd_hist_B0_[classID][position]->GetBinContent(curEvtDecayTime_);
+ } else {
+ effB0 = tagEffBkgnd_B0_[classID][position]->unblindValue();
+ }
}else{
- effB0bar = tagEffBkgnd_B0bar_[classID][position]->unblindValue();
+ if (tagEffBkgnd_B0bar_[classID][position]==nullptr){
+ effB0bar = tagEffBkgnd_hist_B0bar_[classID][position]->GetBinContent(curEvtDecayTime_);
+ } else {
+ effB0bar = tagEffBkgnd_B0bar_[classID][position]->unblindValue();
+ }
}
}
//Need to know which background eta PDF to use - classID
std::vector<Double_t> abs;
abs.push_back(curEvtMistag_[position]);
etaBkgndPdfs_[classID][position]->calcLikelihoodInfo(abs);
Double_t h { etaBkgndPdfs_[classID][position]->getLikelihood() };
const Double_t u { 2.0 }; // the PDF value for a uniform PDF between 0.0 and 0.5
if (bkgndTypes_[classID] == BkgndType::Combinatorial){
//Combinatorial is the same for flag = +1 and -1
if (flag == Flavour::B){
return (deltap1*effB0 + deltam1*effB0bar)*h + delta0*(1-0.5*(effB0+effB0bar))*u;
} else {
return (deltap1*effB0 + deltam1*effB0bar)*h + delta0*(1-0.5*(effB0+effB0bar))*u;
}
} else if (bkgndTypes_[classID] == BkgndType::SignalLike) {
return this->getCapitalOmega(position,flag);
} else {
return 1.0;
}
}
void LauFlavTag::setBkgndParams(const TString& bkgndName, const TString& taggerName, LauAbsPdf* etaPdf, std::pair<Double_t, Double_t> tagEff)
{
if (taggerPosition_.count(taggerName)==0){
std::cerr << "ERROR in LauFlavTag::setBkgndParams : Tagger name not recognised please check your options" << std::endl;
return;
}
Int_t bkgndID(-1);
for (ULong_t i=0; i<bkgndNames_.size(); ++i){
if (bkgndNames_[i]==bkgndName){bkgndID=i;}
}
if (bkgndID==-1){
std::cerr << "ERROR in LauFlavTag::setBkgndParams : Background name not recognised please check your options" << std::endl;
return;
}
Int_t position = taggerPosition_.at(taggerName);
etaBkgndPdfs_[bkgndID][position] = etaPdf;
TString tagEff_b0Name("tagEff_b0_"+taggerName+"_bkgnd_"+bkgndName);
TString tagEff_b0barName("tagEff_b0bar_"+taggerName+"_bkgnd_"+bkgndName);
LauParameter* tagEffB0 = new LauParameter(tagEff_b0Name,tagEff.first,0.0,1.0,kTRUE);
LauParameter* tagEffB0bar = new LauParameter(tagEff_b0barName,tagEff.second,0.0,1.0,kTRUE);
if (useAveDelta_){
tagEffB0->name("tagEff_ave_"+taggerName+"_bkgnd_"+bkgndName);
tagEffBkgnd_ave_[bkgndID][position] = tagEffB0;
tagEffB0bar->name("tagEff_delta_"+taggerName+"_bkgnd_"+bkgndName);
tagEffB0bar->range(-1.0,1.0);
tagEffBkgnd_delta_[bkgndID][position] = tagEffB0bar;
} else {
tagEffBkgnd_B0_[bkgndID][position] = tagEffB0;
tagEffBkgnd_B0bar_[bkgndID][position] = tagEffB0bar;
}
std::cout << "INFO in LauFlavTag::setBkgndParams : Added efficiency parameters and eta PDF for background " << bkgndName << " for tagger " << taggerName << std::endl;
}
+void LauFlavTag::setBkgndParams(const TString& bkgndName, const TString& taggerName, LauAbsPdf* etaPdf, std::pair<TH1*, TH1*> tagEff)
+{
+ if (taggerPosition_.count(taggerName)==0){
+ std::cerr << "ERROR in LauFlavTag::setBkgndParams : Tagger name not recognised please check your options" << std::endl;
+ return;
+ }
+ if (tagEff.first==nullptr || tagEff.second==nullptr){
+ std::cerr << "ERROR in LauFlavTag::setBkgndParams : Efficiency histogram(s) do not exist please check your options" << std::endl;
+ return;
+ }
+
+ Int_t bkgndID(-1);
+ for (ULong_t i=0; i<bkgndNames_.size(); ++i){
+ if (bkgndNames_[i]==bkgndName){bkgndID=i;}
+ }
+ if (bkgndID==-1){
+ std::cerr << "ERROR in LauFlavTag::setBkgndParams : Background name not recognised please check your options" << std::endl;
+ return;
+ }
+
+ Int_t position = taggerPosition_.at(taggerName);
+ etaBkgndPdfs_[bkgndID][position] = etaPdf;
+
+ if (useAveDelta_){
+ tagEffBkgnd_hist_ave_[bkgndID][position] = tagEff.first;
+ tagEffBkgnd_hist_delta_[bkgndID][position] = tagEff.second;
+ } else {
+ tagEffBkgnd_hist_B0_[bkgndID][position] = tagEff.first;
+ tagEffBkgnd_hist_B0bar_[bkgndID][position] = tagEff.second;
+ }
+
+ std::cout << "INFO in LauFlavTag::setBkgndParams : Added efficiency histograms and eta PDF for background " << bkgndName << " for tagger " << taggerName << std::endl;
+}
+
Double_t LauFlavTag::getEtaGen(const ULong_t position)
{
LauFitData data { etaPdfs_[position]->generate(nullptr) }; //TODO Add DP dependence?
Double_t etagen { data.at(etaPdfs_[position]->varName()) };
if (etagen > 0.5){etagen = 0.5;}
if (etagen < 0.0){etagen = 0.0;}
curEvtMistag_[position] = etagen;
return etagen;
}
Double_t LauFlavTag::getEtaGenBkgnd(const ULong_t position, const ULong_t bkgndID)
{
LauFitData data { etaBkgndPdfs_[bkgndID][position]->generate(nullptr) }; //TODO Add DP dependence?
Double_t etagen { data.at(etaBkgndPdfs_[bkgndID][position]->varName()) };
if (etagen > 0.5){etagen = 0.5;}
if (etagen < 0.0){etagen = 0.0;}
curEvtMistag_[position] = etagen;
return etagen;
}
void LauFlavTag::setTrueTagVarName(TString trueTagVarName){
trueTagVarName_ = std::move(trueTagVarName);
}
void LauFlavTag::setDecayFlvVarName(TString decayFlvVarName){
decayFlvVarName_ = std::move(decayFlvVarName);
}
void LauFlavTag::addP0GaussianConstraints(TString name, std::pair <Double_t, Double_t> constraint1, std::pair <Double_t, Double_t> constraint2){
//Does key exist?
if (taggerPosition_.count(name)==0){
std::cerr << "ERROR in LauFlavTag::addP0GaussianConstraints : Tagger name not recognised please check your options" << std::endl;
std::cerr << "ERROR in LauFlavTag::addP0GaussianConstraints : Constraints have not been applied" << std::endl;
return;
}
//Find position in the vector from the tagger name
Double_t pos = taggerPosition_.at(name);
if (!useAveDelta_){
calib_p0_B0_[pos]->addGaussianConstraint(constraint1.first,constraint1.second);
calib_p0_B0bar_[pos]->addGaussianConstraint(constraint2.first,constraint2.second);
}else{
calib_p0_ave_[pos]->addGaussianConstraint(constraint1.first,constraint1.second);
calib_p0_delta_[pos]->addGaussianConstraint(constraint2.first,constraint2.second);
}
std::cout << "INFO in LauFlavTag::addP0GaussianConstraints : Added Gaussian constraints for the P0 calibration parameters of tagger " << name << std::endl;
}
void LauFlavTag::addP1GaussianConstraints(TString name, std::pair <Double_t, Double_t> constraint1, std::pair <Double_t, Double_t> constraint2){
//Does key exist?
if (taggerPosition_.count(name)==0){
std::cerr << "ERROR in LauFlavTag::addP1GaussianConstraints : Tagger name not recognised please check your options" << std::endl;
std::cerr << "ERROR in LauFlavTag::addP1GaussianConstraints : Constraints have not been applied" << std::endl;
return;
}
//Find position in the vector from the tagger name
Double_t pos = taggerPosition_.at(name);
if (!useAveDelta_){
calib_p1_B0_[pos]->addGaussianConstraint(constraint1.first,constraint1.second);
calib_p1_B0bar_[pos]->addGaussianConstraint(constraint2.first,constraint2.second);
}else{
calib_p1_ave_[pos]->addGaussianConstraint(constraint1.first,constraint1.second);
calib_p1_delta_[pos]->addGaussianConstraint(constraint2.first,constraint2.second);
}
std::cout << "INFO in LauFlavTag::addP1GaussianConstraints : Added Gaussian constraints for the P1 calibration parameters of tagger " << name << std::endl;
}
void LauFlavTag::addTagEffGaussianConstraints(TString name, std::pair <Double_t, Double_t> constraint1, std::pair <Double_t, Double_t> constraint2){
//Does key exist?
if (taggerPosition_.count(name)==0){
std::cerr << "ERROR in LauFlavTag::addTagEffGaussianConstraints : Tagger name not recognised please check your options" << std::endl;
std::cerr << "ERROR in LauFlavTag::addTagEffGaussianConstraints : Constraints have not been applied" << std::endl;
return;
}
//Find position in the vector from the tagger name
Double_t pos = taggerPosition_.at(name);
if (!useAveDelta_){
tagEff_B0_[pos]->addGaussianConstraint(constraint1.first,constraint1.second);
tagEff_B0bar_[pos]->addGaussianConstraint(constraint2.first,constraint2.second);
}else{
tagEff_ave_[pos]->addGaussianConstraint(constraint1.first,constraint1.second);
tagEff_delta_[pos]->addGaussianConstraint(constraint2.first,constraint2.second);
}
std::cout << "INFO in LauFlavTag::addTagEffGaussianConstraints : Added Gaussian constraints for the tagging efficiency parameters of tagger " << name << std::endl;
}
diff --git a/src/LauTimeDepFitModel.cc b/src/LauTimeDepFitModel.cc
index 81161f6..2842077 100644
--- a/src/LauTimeDepFitModel.cc
+++ b/src/LauTimeDepFitModel.cc
@@ -1,3059 +1,3063 @@
/*
Copyright 2006 University of Warwick
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
/*
Laura++ package authors:
John Back
Paul Harrison
Thomas Latham
*/
/*! \file LauTimeDepFitModel.cc
\brief File containing implementation of LauTimeDepFitModel class.
*/
#include <algorithm>
#include <iostream>
#include <iomanip>
#include <fstream>
#include <map>
#include <vector>
#include "TFile.h"
#include "TMinuit.h"
#include "TRandom.h"
#include "TSystem.h"
#include "TVirtualFitter.h"
#include "LauAbsBkgndDPModel.hh"
#include "LauAbsCoeffSet.hh"
#include "LauAbsPdf.hh"
#include "LauAsymmCalc.hh"
#include "LauComplex.hh"
#include "LauConstants.hh"
#include "LauDPPartialIntegralInfo.hh"
#include "LauDaughters.hh"
#include "LauDecayTimePdf.hh"
#include "LauFitNtuple.hh"
#include "LauGenNtuple.hh"
#include "LauIsobarDynamics.hh"
#include "LauKinematics.hh"
#include "LauParamFixed.hh"
#include "LauPrint.hh"
#include "LauRandom.hh"
#include "LauScfMap.hh"
#include "LauTimeDepFitModel.hh"
#include "LauFlavTag.hh"
ClassImp(LauTimeDepFitModel)
LauTimeDepFitModel::LauTimeDepFitModel(LauIsobarDynamics* modelB0bar, LauIsobarDynamics* modelB0, LauFlavTag* flavTag) : LauAbsFitModel(),
sigModelB0bar_(modelB0bar),
sigModelB0_(modelB0),
kinematicsB0bar_(modelB0bar ? modelB0bar->getKinematics() : 0),
kinematicsB0_(modelB0 ? modelB0->getKinematics() : 0),
usingBkgnd_(kFALSE),
flavTag_(flavTag),
curEvtTrueTagFlv_(LauFlavTag::Unknown),
curEvtDecayFlv_(LauFlavTag::Unknown),
nSigComp_(0),
nSigDPPar_(0),
nDecayTimePar_(0),
nExtraPdfPar_(0),
nNormPar_(0),
nCalibPar_(0),
nTagEffPar_(0),
nEffiPar_(0),
nAsymPar_(0),
coeffsB0bar_(0),
coeffsB0_(0),
coeffPars_(0),
fitFracB0bar_(0),
fitFracB0_(0),
fitFracAsymm_(0),
acp_(0),
meanEffB0bar_("meanEffB0bar",0.0,0.0,1.0),
meanEffB0_("meanEffB0",0.0,0.0,1.0),
DPRateB0bar_("DPRateB0bar",0.0,0.0,100.0),
DPRateB0_("DPRateB0",0.0,0.0,100.0),
signalEvents_(0),
signalAsym_(0),
cpevVarName_(""),
cpEigenValue_(CPEven),
evtCPEigenVals_(0),
deltaM_("deltaM",0.0),
deltaGamma_("deltaGamma",0.0),
tau_("tau",LauConstants::tauB0),
phiMix_("phiMix", 2.0*LauConstants::beta, -LauConstants::threePi, LauConstants::threePi, kFALSE),
sinPhiMix_("sinPhiMix", TMath::Sin(2.0*LauConstants::beta), -1.0, 1.0, kFALSE),
cosPhiMix_("cosPhiMix", TMath::Cos(2.0*LauConstants::beta), -1.0, 1.0, kFALSE),
useSinCos_(kFALSE),
phiMixComplex_(TMath::Cos(-2.0*LauConstants::beta),TMath::Sin(-2.0*LauConstants::beta)),
signalDecayTimePdf_(),
BkgndTypes_(),
BkgndDecayTimePdfs_(),
curEvtDecayTime_(0.0),
curEvtDecayTimeErr_(0.0),
sigExtraPdf_(),
sigFlavTagPdf_(),
bkgdFlavTagPdf_(),
AProd_("AProd",0.0,-1.0,1.0,kTRUE),
iterationsMax_(100000000),
nGenLoop_(0),
ASq_(0.0),
aSqMaxVar_(0.0),
aSqMaxSet_(1.25),
storeGenAmpInfo_(kFALSE),
signalTree_(),
reuseSignal_(kFALSE),
sigDPLike_(0.0),
sigExtraLike_(0.0),
sigFlavTagLike_(0.0),
bkgdFlavTagLike_(0.0),
sigTotalLike_(0.0)
{
// Set up ftag here?
this->setBkgndClassNames(flavTag_->getBkgndNames());
BkgndTypes_ = flavTag_->getBkgndTypes();
if ( BkgndTypes_.size() > 0 ){usingBkgnd_ = kTRUE;}
// Make sure that the integration scheme will be symmetrised
sigModelB0bar_->forceSymmetriseIntegration(kTRUE);
sigModelB0_->forceSymmetriseIntegration(kTRUE);
}
LauTimeDepFitModel::~LauTimeDepFitModel()
{
for ( LauAbsPdf* pdf : sigExtraPdf_ ) {
delete pdf;
}
for (std::vector<LauEmbeddedData*>::iterator iter = bkgndTree_.begin(); iter != bkgndTree_.end(); ++iter){
delete *(iter);
}
}
void LauTimeDepFitModel::setupBkgndVectors()
{
UInt_t nBkgnds = this->nBkgndClasses();
BkgndDPModelsB_.resize( nBkgnds );
BkgndDPModelsBbar_.resize( nBkgnds );
BkgndDecayTimePdfs_.resize( nBkgnds );
BkgndPdfs_.resize( nBkgnds );
bkgndEvents_.resize( nBkgnds );
bkgndAsym_.resize( nBkgnds );
bkgndTree_.resize( nBkgnds );
reuseBkgnd_.resize( nBkgnds );
bkgndDPLike_.resize( nBkgnds );
bkgndExtraLike_.resize( nBkgnds );
bkgndTotalLike_.resize( nBkgnds );
}
void LauTimeDepFitModel::setNSigEvents(LauParameter* nSigEvents)
{
if ( nSigEvents == 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNSigEvents : The LauParameter pointer is null." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
if ( signalEvents_ != 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNSigEvents : You are trying to overwrite the signal yield." << std::endl;
return;
}
if ( signalAsym_ != 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNSigEvents : You are trying to overwrite the signal asymmetry." << std::endl;
return;
}
signalEvents_ = nSigEvents;
signalEvents_->name("signalEvents");
Double_t value = nSigEvents->value();
signalEvents_->range(-2.0*(TMath::Abs(value)+1.0),2.0*(TMath::Abs(value)+1.0));
signalAsym_ = new LauParameter("signalAsym",0.0,-1.0,1.0,kTRUE);
}
void LauTimeDepFitModel::setNSigEvents(LauParameter* nSigEvents, LauParameter* sigAsym)
{
if ( nSigEvents == 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNSigEvents : The event LauParameter pointer is null." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
if ( sigAsym == 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNSigEvents : The asym LauParameter pointer is null." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
if ( signalEvents_ != 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNSigEvents : You are trying to overwrite the signal yield." << std::endl;
return;
}
if ( signalAsym_ != 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNSigEvents : You are trying to overwrite the signal asymmetry." << std::endl;
return;
}
signalEvents_ = nSigEvents;
signalEvents_->name("signalEvents");
Double_t value = nSigEvents->value();
signalEvents_->range(-2.0*(TMath::Abs(value)+1.0), 2.0*(TMath::Abs(value)+1.0));
signalAsym_ = sigAsym;
signalAsym_->name("signalAsym");
signalAsym_->range(-1.0,1.0);
}
void LauTimeDepFitModel::setNBkgndEvents(LauAbsRValue* nBkgndEvents)
{
if ( nBkgndEvents == 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNBgkndEvents : The background yield LauParameter pointer is null." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
if ( ! this->validBkgndClass( nBkgndEvents->name() ) ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNBkgndEvents : Invalid background class \"" << nBkgndEvents->name() << "\"." << std::endl;
std::cerr << " : Background class names must be provided in \"setBkgndClassNames\" before any other background-related actions can be performed." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
UInt_t bkgndID = this->bkgndClassID( nBkgndEvents->name() );
if ( bkgndEvents_[bkgndID] != 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNBkgndEvents : You are trying to overwrite the background yield." << std::endl;
return;
}
if ( bkgndAsym_[bkgndID] != 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNBkgndEvents : You are trying to overwrite the background asymmetry." << std::endl;
return;
}
nBkgndEvents->name( nBkgndEvents->name()+"Events" );
if ( nBkgndEvents->isLValue() ) {
Double_t value = nBkgndEvents->value();
LauParameter* yield = dynamic_cast<LauParameter*>( nBkgndEvents );
yield->range(-2.0*(TMath::Abs(value)+1.0), 2.0*(TMath::Abs(value)+1.0));
}
bkgndEvents_[bkgndID] = nBkgndEvents;
bkgndAsym_[bkgndID] = new LauParameter(nBkgndEvents->name()+"Asym",0.0,-1.0,1.0,kTRUE);
}
void LauTimeDepFitModel::setNBkgndEvents(LauAbsRValue* nBkgndEvents, LauAbsRValue* bkgndAsym)
{
if ( nBkgndEvents == 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNBkgndEvents : The background yield LauParameter pointer is null." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
if ( bkgndAsym == 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNBkgndEvents : The background asym LauParameter pointer is null." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
if ( ! this->validBkgndClass( nBkgndEvents->name() ) ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNBkgndEvents : Invalid background class \"" << nBkgndEvents->name() << "\"." << std::endl;
std::cerr << " : Background class names must be provided in \"setBkgndClassNames\" before any other background-related actions can be performed." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
UInt_t bkgndID = this->bkgndClassID( nBkgndEvents->name() );
if ( bkgndEvents_[bkgndID] != 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNBkgndEvents : You are trying to overwrite the background yield." << std::endl;
return;
}
if ( bkgndAsym_[bkgndID] != 0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::setNBkgndEvents : You are trying to overwrite the background asymmetry." << std::endl;
return;
}
bkgndEvents_[bkgndID]->name( nBkgndEvents->name()+"Events" );
if ( nBkgndEvents->isLValue() ) {
Double_t value = nBkgndEvents->value();
LauParameter* yield = dynamic_cast<LauParameter*>( nBkgndEvents );
yield->range(-2.0*(TMath::Abs(value)+1.0), 2.0*(TMath::Abs(value)+1.0));
}
bkgndEvents_[bkgndID] = nBkgndEvents;
bkgndAsym_[bkgndID]->name( nBkgndEvents->name()+"Asym" );
if ( bkgndAsym->isLValue() ) {
LauParameter* asym = dynamic_cast<LauParameter*>( bkgndAsym );
asym->range(-1.0, 1.0);
}
bkgndAsym_[bkgndID] = bkgndAsym;
}
void LauTimeDepFitModel::setSignalDtPdf(LauDecayTimePdf* pdf)
{
if (pdf==0) {
std::cerr<<"ERROR in LauTimeDepFitModel::setSignalDtPdf : The PDF pointer is null, not adding it."<<std::endl;
return;
}
signalDecayTimePdf_ = pdf;
}
void LauTimeDepFitModel::setBkgndDtPdf(const TString& bkgndClass, LauDecayTimePdf* pdf)
{
// TODO If these are all histograms shouldn't need to add much more code in other functions
if (pdf==0) {
std::cerr<<"ERROR in LauTimeDepFitModel::setBkgndDtPdf : The PDF pointer is null, not adding it."<<std::endl;
return;
}
// check that this background name is valid
if ( ! this->validBkgndClass( bkgndClass) ) {
std::cerr << "ERROR in LauTimeDepFitModel::setBkgndDtPdf : Invalid background class \"" << bkgndClass << "\"." << std::endl;
std::cerr << " : Background class names must be provided in \"setBkgndClassNames\" before any other background-related actions can be performed." << std::endl;
return;
}
UInt_t bkgndID = this->bkgndClassID( bkgndClass );
BkgndDecayTimePdfs_[bkgndID] = pdf;
usingBkgnd_ = kTRUE;
}
void LauTimeDepFitModel::setBkgndDPModels(const TString& bkgndClass, LauAbsBkgndDPModel* BModel, LauAbsBkgndDPModel* BbarModel)
{
if (BModel==nullptr) {
std::cerr << "ERROR in LauTimeDepFitModel::setBkgndDPModels : the model pointer is null for the particle model." << std::endl;
return;
}
// check that this background name is valid
if ( ! this->validBkgndClass( bkgndClass) ) {
std::cerr << "ERROR in LauTimeDepFitModel::setBkgndDPModels : Invalid background class \"" << bkgndClass << "\"." << std::endl;
std::cerr << " : Background class names must be provided in \"setBkgndClassNames\" before any other background-related actions can be performed." << std::endl;
return;
}
UInt_t bkgndID = this->bkgndClassID( bkgndClass );
BkgndDPModelsB_[bkgndID] = BModel;
if (BbarModel==nullptr) {
std::cout << "INFO in LauTimeDepFitModel::setBkgndDPModels : the model pointer is null for the anti-particle model. Using only the particle model." << std::endl;
BkgndDPModelsBbar_[bkgndID] = nullptr;
} else {
BkgndDPModelsBbar_[bkgndID] = BbarModel;
}
usingBkgnd_ = kTRUE;
}
void LauTimeDepFitModel::setSignalPdfs(LauAbsPdf* pdf)
{
// These "extra variables" are assumed to be purely kinematical, like mES and DeltaE
//or making use of Rest of Event information, and therefore independent of whether
//the parent is a B0 or a B0bar. If this assupmtion doesn't hold, do modify this part!
if (pdf==0) {
std::cerr<<"ERROR in LauTimeDepFitModel::setSignalPdfs : The PDF pointer is null."<<std::endl;
return;
}
sigExtraPdf_.push_back(pdf);
}
void LauTimeDepFitModel::setBkgndPdf(const TString& bkgndClass, LauAbsPdf* pdf)
{
if (pdf==0) {
std::cerr << "ERROR in LauTimeDepFitModel::setBkgndPdf : PDF pointer is null." << std::endl;
return;
}
// check that this background name is valid
if ( ! this->validBkgndClass( bkgndClass ) ) {
std::cerr << "ERROR in LauTimeDepFitModel::setBkgndPdf : Invalid background class \"" << bkgndClass << "\"." << std::endl;
std::cerr << " : Background class names must be provided in \"setBkgndClassNames\" before any other background-related actions can be performed." << std::endl;
return;
}
UInt_t bkgndID = this->bkgndClassID( bkgndClass );
BkgndPdfs_[bkgndID].push_back(pdf);
usingBkgnd_ = kTRUE;
}
void LauTimeDepFitModel::setPhiMix(const Double_t phiMix, const Bool_t fixPhiMix, const Bool_t useSinCos)
{
phiMix_.value(phiMix); phiMix_.initValue(phiMix); phiMix_.genValue(phiMix); phiMix_.fixed(fixPhiMix);
const Double_t sinPhiMix = TMath::Sin(phiMix);
sinPhiMix_.value(sinPhiMix); sinPhiMix_.initValue(sinPhiMix); sinPhiMix_.genValue(sinPhiMix); sinPhiMix_.fixed(fixPhiMix);
const Double_t cosPhiMix = TMath::Cos(phiMix);
cosPhiMix_.value(cosPhiMix); cosPhiMix_.initValue(cosPhiMix); cosPhiMix_.genValue(cosPhiMix); cosPhiMix_.fixed(fixPhiMix);
useSinCos_ = useSinCos;
phiMixComplex_.setRealPart(cosPhiMix);
phiMixComplex_.setImagPart(-1.0*sinPhiMix);
}
void LauTimeDepFitModel::initialise()
{
// From the initial parameter values calculate the coefficients
// so they can be passed to the signal model
this->updateCoeffs();
// Initialisation
if (this->useDP() == kTRUE) {
this->initialiseDPModels();
}
// Flavour tagging
//flavTag_->initialise();
// Decay-time PDFs
signalDecayTimePdf_->initialise();
if (!this->useDP() && sigExtraPdf_.empty()) {
std::cerr<<"ERROR in LauTimeDepFitModel::initialise : Signal model doesn't exist for any variable."<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
if (this->useDP() == kTRUE) {
// Check that we have all the Dalitz-plot models
if ((sigModelB0bar_ == 0) || (sigModelB0_ == 0)) {
std::cerr<<"ERROR in LauTimeDepFitModel::initialise : the pointer to one (particle or anti-particle) of the signal DP models is null."<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
}
// Next check that, if a given component is being used we've got the
// right number of PDFs for all the variables involved
// TODO - should probably check variable names and so on as well
//UInt_t nsigpdfvars(0);
//for ( LauPdfList::const_iterator pdf_iter = sigExtraPdf_.begin(); pdf_iter != sigExtraPdf_.end(); ++pdf_iter ) {
// std::vector<TString> varNames = (*pdf_iter)->varNames();
// for ( std::vector<TString>::const_iterator var_iter = varNames.begin(); var_iter != varNames.end(); ++var_iter ) {
// if ( (*var_iter) != "m13Sq" && (*var_iter) != "m23Sq" ) {
// ++nsigpdfvars;
// }
// }
//}
//if (usingBkgnd_) {
// for (LauBkgndPdfsList::const_iterator bgclass_iter = BkgndPdfsB0_.begin(); bgclass_iter != BkgndPdfsB0_.end(); ++bgclass_iter) {
// UInt_t nbkgndpdfvars(0);
// const LauPdfList& pdfList = (*bgclass_iter);
// for ( LauPdfList::const_iterator pdf_iter = pdfList.begin(); pdf_iter != pdfList.end(); ++pdf_iter ) {
// std::vector<TString> varNames = (*pdf_iter)->varNames();
// for ( std::vector<TString>::const_iterator var_iter = varNames.begin(); var_iter != varNames.end(); ++var_iter ) {
// if ( (*var_iter) != "m13Sq" && (*var_iter) != "m23Sq" ) {
// ++nbkgndpdfvars;
// }
// }
// }
// if (nbkgndpdfvars != nsigpdfvars) {
// std::cerr << "ERROR in LauTimeDepFitModel::initialise : There are " << nsigpdfvars << " signal PDF variables but " << nbkgndpdfvars << " bkgnd PDF variables." << std::endl;
// gSystem->Exit(EXIT_FAILURE);
// }
// }
//}
// Clear the vectors of parameter information so we can start from scratch
this->clearFitParVectors();
// Set the fit parameters for signal and background models
this->setSignalDPParameters();
// Set the fit parameters for the decay time models
this->setDecayTimeParameters();
// Set the fit parameters for the extra PDFs
this->setExtraPdfParameters();
// Set the initial bg and signal events
this->setFitNEvents();
// Handle flavour-tagging calibration parameters
this->setCalibParams();
// Add tagging efficiency parameters
this->setTagEffParams();
// Add the efficiency parameters
this->setEffiParams();
//Asymmetry terms AProd and in setAsymmetries()?
//this->setAsymParams();
// Check that we have the expected number of fit variables
const LauParameterPList& fitVars = this->fitPars();
if (fitVars.size() != (nSigDPPar_ + nDecayTimePar_ + nExtraPdfPar_ + nNormPar_ + nCalibPar_ + nTagEffPar_ + nEffiPar_)) {
std::cerr<<"ERROR in LauTimeDepFitModel::initialise : Number of fit parameters not of expected size."<<std::endl;
std::cout<< fitVars.size() << " != " << nSigDPPar_ << nDecayTimePar_ << nExtraPdfPar_ << nNormPar_ << nCalibPar_ << nTagEffPar_ << nEffiPar_ << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
this->setExtraNtupleVars();
}
void LauTimeDepFitModel::recalculateNormalisation()
{
sigModelB0bar_->recalculateNormalisation();
sigModelB0_->recalculateNormalisation();
sigModelB0bar_->modifyDataTree();
sigModelB0_->modifyDataTree();
this->calcInterferenceTermIntegrals();
}
void LauTimeDepFitModel::initialiseDPModels()
{
if (sigModelB0bar_ == 0) {
std::cerr<<"ERROR in LauTimeDepFitModel::initialiseDPModels : B0bar signal DP model doesn't exist"<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
if (sigModelB0_ == 0) {
std::cerr<<"ERROR in LauTimeDepFitModel::initialiseDPModels : B0 signal DP model doesn't exist"<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
// Need to check that the number of components we have and that the dynamics has matches up
const UInt_t nAmpB0bar = sigModelB0bar_->getnTotAmp();
const UInt_t nAmpB0 = sigModelB0_->getnTotAmp();
if ( nAmpB0bar != nAmpB0 ) {
std::cerr << "ERROR in LauTimeDepFitModel::initialiseDPModels : Unequal number of signal DP components in the particle and anti-particle models: " << nAmpB0bar << " != " << nAmpB0 << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
if ( nAmpB0bar != nSigComp_ ) {
std::cerr << "ERROR in LauTimeDepFitModel::initialiseDPModels : Number of signal DP components in the model (" << nAmpB0bar << ") not equal to number of coefficients supplied (" << nSigComp_ << ")." << std::endl;
gSystem->Exit(EXIT_FAILURE);
}
std::cout<<"INFO in LauTimeDepFitModel::initialiseDPModels : Initialising signal DP model"<<std::endl;
sigModelB0bar_->initialise(coeffsB0bar_);
sigModelB0_->initialise(coeffsB0_);
fifjEffSum_.clear();
fifjEffSum_.resize(nSigComp_);
for (UInt_t iAmp = 0; iAmp < nSigComp_; ++iAmp) {
fifjEffSum_[iAmp].resize(nSigComp_);
}
// calculate the integrals of the A*Abar terms
this->calcInterferenceTermIntegrals();
this->calcInterTermNorm();
// Add backgrounds
if (usingBkgnd_ == kTRUE) {
for (LauBkgndDPModelList::iterator iter = BkgndDPModelsB_.begin(); iter != BkgndDPModelsB_.end(); ++iter) {
(*iter)->initialise();
}
for (LauBkgndDPModelList::iterator iter = BkgndDPModelsBbar_.begin(); iter != BkgndDPModelsBbar_.end(); ++iter) {
if ((*iter) != nullptr) {
(*iter)->initialise();
}
}
}
}
void LauTimeDepFitModel::calcInterferenceTermIntegrals()
{
const std::vector<LauDPPartialIntegralInfo*>& integralInfoListB0bar = sigModelB0bar_->getIntegralInfos();
const std::vector<LauDPPartialIntegralInfo*>& integralInfoListB0 = sigModelB0_->getIntegralInfos();
// TODO should check (first time) that they match in terms of number of entries in the vectors and that each entry has the same number of points, ranges, weights etc.
LauComplex A, Abar, fifjEffSumTerm;
for (UInt_t iAmp = 0; iAmp < nSigComp_; ++iAmp) {
for (UInt_t jAmp = 0; jAmp < nSigComp_; ++jAmp) {
fifjEffSum_[iAmp][jAmp].zero();
}
}
const UInt_t nIntegralRegions = integralInfoListB0bar.size();
for ( UInt_t iRegion(0); iRegion < nIntegralRegions; ++iRegion ) {
const LauDPPartialIntegralInfo* integralInfoB0bar = integralInfoListB0bar[iRegion];
const LauDPPartialIntegralInfo* integralInfoB0 = integralInfoListB0[iRegion];
const UInt_t nm13Points = integralInfoB0bar->getnm13Points();
const UInt_t nm23Points = integralInfoB0bar->getnm23Points();
for (UInt_t m13 = 0; m13 < nm13Points; ++m13) {
for (UInt_t m23 = 0; m23 < nm23Points; ++m23) {
const Double_t weight = integralInfoB0bar->getWeight(m13,m23);
const Double_t eff = integralInfoB0bar->getEfficiency(m13,m23);
const Double_t effWeight = eff*weight;
for (UInt_t iAmp = 0; iAmp < nSigComp_; ++iAmp) {
A = integralInfoB0->getAmplitude(m13, m23, iAmp);
for (UInt_t jAmp = 0; jAmp < nSigComp_; ++jAmp) {
Abar = integralInfoB0bar->getAmplitude(m13, m23, jAmp);
fifjEffSumTerm = Abar*A.conj();
fifjEffSumTerm.rescale(effWeight);
fifjEffSum_[iAmp][jAmp] += fifjEffSumTerm;
}
}
}
}
}
}
void LauTimeDepFitModel::calcInterTermNorm()
{
const std::vector<Double_t>& fNormB0bar = sigModelB0bar_->getFNorm();
const std::vector<Double_t>& fNormB0 = sigModelB0_->getFNorm();
LauComplex norm;
for (UInt_t iAmp = 0; iAmp < nSigComp_; ++iAmp) {
for (UInt_t jAmp = 0; jAmp < nSigComp_; ++jAmp) {
LauComplex coeffTerm = coeffsB0bar_[jAmp]*coeffsB0_[iAmp].conj();
coeffTerm *= fifjEffSum_[iAmp][jAmp];
coeffTerm.rescale(fNormB0bar[jAmp] * fNormB0[iAmp]);
norm += coeffTerm;
}
}
norm *= phiMixComplex_;
interTermReNorm_ = 2.0*norm.re();
interTermImNorm_ = 2.0*norm.im();
}
void LauTimeDepFitModel::setAmpCoeffSet(LauAbsCoeffSet* coeffSet)
{
// Is there a component called compName in the signal models?
TString compName = coeffSet->name();
TString conjName = sigModelB0bar_->getConjResName(compName);
const LauDaughters* daughtersB0bar = sigModelB0bar_->getDaughters();
const LauDaughters* daughtersB0 = sigModelB0_->getDaughters();
const Bool_t conjugate = daughtersB0bar->isConjugate( daughtersB0 );
if ( ! sigModelB0bar_->hasResonance(compName) ) {
if ( ! sigModelB0bar_->hasResonance(conjName) ) {
std::cerr<<"ERROR in LauTimeDepFitModel::setAmpCoeffSet : B0bar signal DP model doesn't contain component \""<<compName<<"\"."<<std::endl;
return;
}
std::cerr<<"WARNING in LauTimeDepFitModel::setAmpCoeffSet : B0bar signal DP model doesn't contain component \""<<compName<<"\" but does contain the conjugate \""<<conjName<<"\", resetting name to use the conjugate."<<std::endl;
TString tmp = compName;
compName = conjName;
conjName = tmp;
coeffSet->name( compName );
}
if ( conjugate ) {
if ( ! sigModelB0_->hasResonance(conjName) ) {
std::cerr<<"ERROR in LauTimeDepFitModel::setAmpCoeffSet : B0 signal DP model doesn't contain component \""<<conjName<<"\"."<<std::endl;
return;
}
} else {
if ( ! sigModelB0_->hasResonance(compName) ) {
std::cerr<<"ERROR in LauTimeDepFitModel::setAmpCoeffSet : B0 signal DP model doesn't contain component \""<<compName<<"\"."<<std::endl;
return;
}
}
// Do we already have it in our list of names?
for (std::vector<LauAbsCoeffSet*>::const_iterator iter=coeffPars_.begin(); iter!=coeffPars_.end(); ++iter) {
if ((*iter)->name() == compName) {
std::cerr<<"ERROR in LauTimeDepFitModel::setAmpCoeffSet : Have already set coefficients for \""<<compName<<"\"."<<std::endl;
return;
}
}
coeffSet->index(nSigComp_);
coeffPars_.push_back(coeffSet);
TString parName = coeffSet->baseName(); parName += "FitFracAsym";
fitFracAsymm_.push_back(LauParameter(parName, 0.0, -1.0, 1.0));
acp_.push_back(coeffSet->acp());
++nSigComp_;
std::cout<<"INFO in LauTimeDepFitModel::setAmpCoeffSet : Added coefficients for component \""<<compName<<"\" to the fit model."<<std::endl;
}
void LauTimeDepFitModel::calcAsymmetries(Bool_t initValues)
{
// Calculate the CP asymmetries
// Also calculate the fit fraction asymmetries
for (UInt_t i = 0; i < nSigComp_; i++) {
acp_[i] = coeffPars_[i]->acp();
LauAsymmCalc asymmCalc(fitFracB0bar_[i][i].value(), fitFracB0_[i][i].value());
Double_t asym = asymmCalc.getAsymmetry();
fitFracAsymm_[i].value(asym);
if (initValues) {
fitFracAsymm_[i].genValue(asym);
fitFracAsymm_[i].initValue(asym);
}
}
}
void LauTimeDepFitModel::setSignalDPParameters()
{
// Set the fit parameters for the signal model.
nSigDPPar_ = 0;
if ( ! this->useDP() ) {
return;
}
std::cout << "INFO in LauTimeDepFitModel::setSignalDPParameters : Setting the initial fit parameters for the signal DP model." << std::endl;
// Place isobar coefficient parameters in vector of fit variables
LauParameterPList& fitVars = this->fitPars();
for (UInt_t i = 0; i < nSigComp_; ++i) {
LauParameterPList pars = coeffPars_[i]->getParameters();
for (LauParameterPList::iterator iter = pars.begin(); iter != pars.end(); ++iter) {
if ( !(*iter)->clone() ) {
fitVars.push_back(*iter);
++nSigDPPar_;
}
}
}
// Obtain the resonance parameters and place them in the vector of fit variables and in a separate vector
// Need to make sure that they are unique because some might appear in both DP models
LauParameterPSet& resVars = this->resPars();
resVars.clear();
LauParameterPList& sigDPParsB0bar = sigModelB0bar_->getFloatingParameters();
LauParameterPList& sigDPParsB0 = sigModelB0_->getFloatingParameters();
for ( LauParameterPList::iterator iter = sigDPParsB0bar.begin(); iter != sigDPParsB0bar.end(); ++iter ) {
if ( resVars.insert(*iter).second ) {
fitVars.push_back(*iter);
++nSigDPPar_;
}
}
for ( LauParameterPList::iterator iter = sigDPParsB0.begin(); iter != sigDPParsB0.end(); ++iter ) {
if ( resVars.insert(*iter).second ) {
fitVars.push_back(*iter);
++nSigDPPar_;
}
}
}
UInt_t LauTimeDepFitModel::addParametersToFitList(std::vector<LauDecayTimePdf*> theVector)
{
UInt_t counter(0);
LauParameterPList& fitVars = this->fitPars();
// loop through the map
for (std::vector<LauDecayTimePdf*>::iterator iter = theVector.begin(); iter != theVector.end(); ++iter) {
// grab the pdf and then its parameters
LauDecayTimePdf* thePdf = *iter; // The first one is the tagging category
LauAbsRValuePList& rvalues = thePdf->getParameters();
// loop through the parameters
for (LauAbsRValuePList::iterator pars_iter = rvalues.begin(); pars_iter != rvalues.end(); ++pars_iter) {
LauParameterPList params = (*pars_iter)->getPars();
for (LauParameterPList::iterator params_iter = params.begin(); params_iter != params.end(); ++params_iter) {
// for each "original" parameter add it to the list of fit parameters and increment the counter
if ( !(*params_iter)->clone() && ( !(*params_iter)->fixed() ||
(this->twoStageFit() && (*params_iter)->secondStage()) ) ) {
fitVars.push_back(*params_iter);
++counter;
}
}
}
}
return counter;
}
UInt_t LauTimeDepFitModel::addParametersToFitList(LauPdfList* theList)
{
UInt_t counter(0);
counter += this->addFitParameters(*(theList));
return counter;
}
void LauTimeDepFitModel::setDecayTimeParameters()
{
nDecayTimePar_ = 0;
std::cout << "INFO in LauTimeDepFitModel::setDecayTimeParameters : Setting the initial fit parameters of the DecayTime Pdfs." << std::endl;
LauParameterPList& fitVars = this->fitPars();
// Loop over the Dt PDFs
LauAbsRValuePList& rvalues = signalDecayTimePdf_->getParameters();
// loop through the parameters
for (LauAbsRValuePList::iterator pars_iter = rvalues.begin(); pars_iter != rvalues.end(); ++pars_iter) {
LauParameterPList params = (*pars_iter)->getPars();
for (LauParameterPList::iterator params_iter = params.begin(); params_iter != params.end(); ++params_iter) {
// for each "original" parameter add it to the list of fit parameters and increment the counter
if ( !(*params_iter)->clone() && ( !(*params_iter)->fixed() ||
(this->twoStageFit() && (*params_iter)->secondStage()) ) ) {
fitVars.push_back(*params_iter);
++nDecayTimePar_;
}
}
}
if (usingBkgnd_){
nDecayTimePar_ += this->addParametersToFitList(BkgndDecayTimePdfs_);
}
if (useSinCos_) {
if ( not sinPhiMix_.fixed() ) {
fitVars.push_back(&sinPhiMix_);
fitVars.push_back(&cosPhiMix_);
nDecayTimePar_ += 2;
}
} else {
if ( not phiMix_.fixed() ) {
fitVars.push_back(&phiMix_);
++nDecayTimePar_;
}
}
}
void LauTimeDepFitModel::setExtraPdfParameters()
{
// Include the parameters of the PDF for each tagging category in the fit
// NB all of them are passed to the fit, even though some have been fixed through parameter.fixed(kTRUE)
// With the new "cloned parameter" scheme only "original" parameters are passed to the fit.
// Their clones are updated automatically when the originals are updated.
nExtraPdfPar_ = 0;
std::cout << "INFO in LauTimeDepFitModel::setExtraPdfParameters : Setting the initial fit parameters of the extra Pdfs." << std::endl;
nExtraPdfPar_ += this->addFitParameters(sigExtraPdf_);
if (usingBkgnd_ == kTRUE) {
for (LauBkgndPdfsList::iterator iter = BkgndPdfs_.begin(); iter != BkgndPdfs_.end(); ++iter) {
nExtraPdfPar_ += this->addFitParameters(*iter);
}
}
}
void LauTimeDepFitModel::setFitNEvents()
{
nNormPar_ = 0;
std::cout << "INFO in LauTimeDepFitModel::setFitNEvents : Setting the initial fit parameters of the signal and background yields." << std::endl;
// Initialise the total number of events to be the sum of all the hypotheses
Double_t nTotEvts = signalEvents_->value();
this->eventsPerExpt(TMath::FloorNint(nTotEvts));
LauParameterPList& fitVars = this->fitPars();
// if doing an extended ML fit add the signal fraction into the fit parameters
if (this->doEMLFit()) {
std::cout<<"INFO in LauTimeDepFitModel::setFitNEvents : Initialising number of events for signal and background components..."<<std::endl;
if ( not signalEvents_->fixed() ) {
fitVars.push_back(signalEvents_);
++nNormPar_;
}
} else {
std::cout<<"INFO in LauTimeDepFitModel::setFitNEvents : Initialising number of events for background components (and hence signal)..."<<std::endl;
}
// if not using the DP in the model we need an explicit signal asymmetry parameter
if (this->useDP() == kFALSE) {
fitVars.push_back(signalAsym_);
++nNormPar_;
}
// TODO arguably should delegate this
//LauTagCatParamMap& signalTagCatFrac = flavTag_->getSignalTagCatFrac();
// tagging-category fractions for signal events
//for (LauTagCatParamMap::iterator iter = signalTagCatFrac.begin(); iter != signalTagCatFrac.end(); ++iter) {
// if (iter == signalTagCatFrac.begin()) {
// continue;
// }
// LauParameter* par = &((*iter).second);
// fitVars.push_back(par);
// ++nNormPar_;
//}
// Backgrounds
if (usingBkgnd_ == kTRUE) {
for (LauBkgndYieldList::iterator iter = bkgndEvents_.begin(); iter != bkgndEvents_.end(); ++iter) {
std::vector<LauParameter*> parameters = (*iter)->getPars();
for ( LauParameter* parameter : parameters ) {
if (parameter->fixed()){continue;}
if(!parameter->clone()) {
fitVars.push_back(parameter);
++nNormPar_;
}
}
}
for (LauBkgndYieldList::iterator iter = bkgndAsym_.begin(); iter != bkgndAsym_.end(); ++iter) {
std::vector<LauParameter*> parameters = (*iter)->getPars();
for ( LauParameter* parameter : parameters ) {
if (parameter->fixed()){continue;}
if(!parameter->clone()) {
fitVars.push_back(parameter);
++nNormPar_;
}
}
}
}
}
void LauTimeDepFitModel::setAsymParams()
{
nAsymPar_ = 0;
LauParameterPList& fitVars = this->fitPars();
if (!AProd_.fixed()){
fitVars.push_back(&AProd_);
nAsymPar_+=1;
}
}
void LauTimeDepFitModel::setTagEffParams()
{
nTagEffPar_ = 0;
Bool_t useAltPars = flavTag_->getUseAveDelta();
std::cout << "INFO in LauTimeDepFitModel::setTagEffParams : Setting the initial fit parameters for flavour tagging efficiencies." << std::endl;
if (useAltPars){
std::vector<LauParameter*> tageff_ave = flavTag_->getTagEffAve();
std::vector<LauParameter*> tageff_delta = flavTag_->getTagEffDelta();
LauParameterPList& fitVars = this->fitPars();
for(std::vector<LauParameter*>::iterator iter = tageff_ave.begin(); iter != tageff_ave.end(); ++iter){
+ if (*iter==nullptr){continue;}
LauParameter* eff = *iter;
if (eff->fixed()){continue;}
fitVars.push_back(eff);
++nTagEffPar_;
}
for(std::vector<LauParameter*>::iterator iter = tageff_delta.begin(); iter != tageff_delta.end(); ++iter){
+ if (*iter==nullptr){continue;}
LauParameter* eff = *iter;
if (eff->fixed()){continue;}
fitVars.push_back(eff);
++nTagEffPar_;
}
} else {
std::vector<LauParameter*> tageff_b0 = flavTag_->getTagEffB0();
std::vector<LauParameter*> tageff_b0bar = flavTag_->getTagEffB0bar();
LauParameterPList& fitVars = this->fitPars();
for(std::vector<LauParameter*>::iterator iter = tageff_b0.begin(); iter != tageff_b0.end(); ++iter){
+ if (*iter==nullptr){continue;}
LauParameter* eff = *iter;
if (eff->fixed()){continue;}
fitVars.push_back(eff);
++nTagEffPar_;
}
for(std::vector<LauParameter*>::iterator iter = tageff_b0bar.begin(); iter != tageff_b0bar.end(); ++iter){
+ if (*iter==nullptr){continue;}
LauParameter* eff = *iter;
if (eff->fixed()){continue;}
fitVars.push_back(eff);
++nTagEffPar_;
}
}
if (usingBkgnd_){
if (useAltPars){
std::vector<std::vector<LauParameter*>> tageff_ave = flavTag_->getTagEffBkgndAve();
std::vector<std::vector<LauParameter*>> tageff_delta = flavTag_->getTagEffBkgndDelta();
LauParameterPList& fitVars = this->fitPars();
for(std::vector<std::vector<LauParameter*>>::iterator row = tageff_ave.begin(); row != tageff_ave.end(); ++row){
for(std::vector<LauParameter*>::iterator col = row->begin(); col != row->end(); ++col){
if (*col == nullptr){continue;}
LauParameter* eff = *col;
if (eff->fixed()){continue;}
fitVars.push_back(eff);
++nTagEffPar_;
}
}
for(std::vector<std::vector<LauParameter*>>::iterator row = tageff_delta.begin(); row != tageff_delta.end(); ++row){
for(std::vector<LauParameter*>::iterator col = row->begin(); col != row->end(); ++col){
if (*col == nullptr){continue;}
LauParameter* eff = *col;
if (eff->fixed()){continue;}
fitVars.push_back(eff);
++nTagEffPar_;
}
}
} else {
std::vector<std::vector<LauParameter*>> tageff_b0 = flavTag_->getTagEffBkgndB0();
std::vector<std::vector<LauParameter*>> tageff_b0bar = flavTag_->getTagEffBkgndB0bar();
LauParameterPList& fitVars = this->fitPars();
for(std::vector<std::vector<LauParameter*>>::iterator row = tageff_b0.begin(); row != tageff_b0.end(); ++row){
for(std::vector<LauParameter*>::iterator col = row->begin(); col != row->end(); ++col){
if (*col == nullptr){continue;}
LauParameter* eff = *col;
if (eff->fixed()){continue;}
fitVars.push_back(eff);
++nTagEffPar_;
}
}
for(std::vector<std::vector<LauParameter*>>::iterator row = tageff_b0bar.begin(); row != tageff_b0bar.end(); ++row){
for(std::vector<LauParameter*>::iterator col = row->begin(); col != row->end(); ++col){
if (*col == nullptr){continue;}
LauParameter* eff = *col;
if (eff->fixed()){continue;}
fitVars.push_back(eff);
++nTagEffPar_;
}
}
}
}
}
void LauTimeDepFitModel::setCalibParams()
{
Bool_t useAltPars = flavTag_->getUseAveDelta();
std::cout << "INFO in LauTimeDepFitModel::setCalibParams : Setting the initial fit parameters of the flavour tagging calibration parameters." << std::endl;
if (useAltPars){
std::vector<LauParameter*> p0pars_ave = flavTag_->getCalibP0Ave();
std::vector<LauParameter*> p0pars_delta = flavTag_->getCalibP0Delta();
std::vector<LauParameter*> p1pars_ave = flavTag_->getCalibP1Ave();
std::vector<LauParameter*> p1pars_delta = flavTag_->getCalibP1Delta();
LauParameterPList& fitVars = this->fitPars();
for(std::vector<LauParameter*>::iterator iter = p0pars_ave.begin(); iter != p0pars_ave.end(); ++iter){
LauParameter* p0 = *iter;
if (p0->fixed()){continue;}
fitVars.push_back(p0);
++nCalibPar_;
}
for(std::vector<LauParameter*>::iterator iter = p0pars_delta.begin(); iter != p0pars_delta.end(); ++iter){
LauParameter* p0 = *iter;
if (p0->fixed()){continue;}
fitVars.push_back(p0);
++nCalibPar_;
}
for(std::vector<LauParameter*>::iterator iter = p1pars_ave.begin(); iter != p1pars_ave.end(); ++iter){
LauParameter* p1 = *iter;
if (p1->fixed()){continue;}
fitVars.push_back(p1);
++nCalibPar_;
}
for(std::vector<LauParameter*>::iterator iter = p1pars_delta.begin(); iter != p1pars_delta.end(); ++iter){
LauParameter* p1 = *iter;
if (p1->fixed()){continue;}
fitVars.push_back(p1);
++nCalibPar_;
}
} else {
std::vector<LauParameter*> p0pars_b0 = flavTag_->getCalibP0B0();
std::vector<LauParameter*> p0pars_b0bar = flavTag_->getCalibP0B0bar();
std::vector<LauParameter*> p1pars_b0 = flavTag_->getCalibP1B0();
std::vector<LauParameter*> p1pars_b0bar = flavTag_->getCalibP1B0bar();
LauParameterPList& fitVars = this->fitPars();
for(std::vector<LauParameter*>::iterator iter = p0pars_b0.begin(); iter != p0pars_b0.end(); ++iter){
LauParameter* p0 = *iter;
if (p0->fixed()){continue;}
fitVars.push_back(p0);
++nCalibPar_;
}
for(std::vector<LauParameter*>::iterator iter = p0pars_b0bar.begin(); iter != p0pars_b0bar.end(); ++iter){
LauParameter* p0 = *iter;
if (p0->fixed()){continue;}
fitVars.push_back(p0);
++nCalibPar_;
}
for(std::vector<LauParameter*>::iterator iter = p1pars_b0.begin(); iter != p1pars_b0.end(); ++iter){
LauParameter* p1 = *iter;
if (p1->fixed()){continue;}
fitVars.push_back(p1);
++nCalibPar_;
}
for(std::vector<LauParameter*>::iterator iter = p1pars_b0bar.begin(); iter != p1pars_b0bar.end(); ++iter){
LauParameter* p1 = *iter;
if (p1->fixed()){continue;}
fitVars.push_back(p1);
++nCalibPar_;
}
}
}
void LauTimeDepFitModel::setEffiParams()
{
nEffiPar_ = 0;
LauParameterPList& fitVars = this->fitPars();
LauParameterPList& effiPars = signalDecayTimePdf_->getEffiPars();
// If all of the knots are fixed we have nothing to do
LauParamFixed isFixed;
if ( std::all_of( effiPars.begin(), effiPars.end(), isFixed ) ) {
return;
}
// If any knots are floating, add all knots (fixed or floating)
for(LauParameterPList::iterator iter = effiPars.begin(); iter != effiPars.end(); ++iter){
LauParameter* par = *iter;
fitVars.push_back(par);
++nEffiPar_;
}
}
void LauTimeDepFitModel::setExtraNtupleVars()
{
// Set-up other parameters derived from the fit results, e.g. fit fractions.
if (this->useDP() != kTRUE) {
return;
}
// First clear the vectors so we start from scratch
this->clearExtraVarVectors();
LauParameterList& extraVars = this->extraPars();
// Add the B0 and B0bar fit fractions for each signal component
fitFracB0bar_ = sigModelB0bar_->getFitFractions();
if (fitFracB0bar_.size() != nSigComp_) {
std::cerr<<"ERROR in LauTimeDepFitModel::setExtraNtupleVars : Initial Fit Fraction array of unexpected dimension: "<<fitFracB0bar_.size()<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
for (UInt_t i(0); i<nSigComp_; ++i) {
if (fitFracB0bar_[i].size() != nSigComp_) {
std::cerr<<"ERROR in LauTimeDepFitModel::setExtraNtupleVars : Initial Fit Fraction array of unexpected dimension: "<<fitFracB0bar_[i].size()<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
}
for (UInt_t i(0); i<nSigComp_; ++i) {
for (UInt_t j = i; j < nSigComp_; j++) {
TString name = fitFracB0bar_[i][j].name();
name.Insert( name.Index("FitFrac"), "B0bar" );
fitFracB0bar_[i][j].name(name);
extraVars.push_back(fitFracB0bar_[i][j]);
}
}
fitFracB0_ = sigModelB0_->getFitFractions();
if (fitFracB0_.size() != nSigComp_) {
std::cerr<<"ERROR in LauTimeDepFitModel::setExtraNtupleVars : Initial Fit Fraction array of unexpected dimension: "<<fitFracB0_.size()<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
for (UInt_t i(0); i<nSigComp_; ++i) {
if (fitFracB0_[i].size() != nSigComp_) {
std::cerr<<"ERROR in LauTimeDepFitModel::setExtraNtupleVars : Initial Fit Fraction array of unexpected dimension: "<<fitFracB0_[i].size()<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
}
for (UInt_t i(0); i<nSigComp_; ++i) {
for (UInt_t j = i; j < nSigComp_; j++) {
TString name = fitFracB0_[i][j].name();
name.Insert( name.Index("FitFrac"), "B0" );
fitFracB0_[i][j].name(name);
extraVars.push_back(fitFracB0_[i][j]);
}
}
// Calculate the ACPs and FitFrac asymmetries
this->calcAsymmetries(kTRUE);
// Add the Fit Fraction asymmetry for each signal component
for (UInt_t i = 0; i < nSigComp_; i++) {
extraVars.push_back(fitFracAsymm_[i]);
}
// Add the calculated CP asymmetry for each signal component
for (UInt_t i = 0; i < nSigComp_; i++) {
extraVars.push_back(acp_[i]);
}
// Now add in the DP efficiency values
Double_t initMeanEffB0bar = sigModelB0bar_->getMeanEff().initValue();
meanEffB0bar_.value(initMeanEffB0bar); meanEffB0bar_.initValue(initMeanEffB0bar); meanEffB0bar_.genValue(initMeanEffB0bar);
extraVars.push_back(meanEffB0bar_);
Double_t initMeanEffB0 = sigModelB0_->getMeanEff().initValue();
meanEffB0_.value(initMeanEffB0); meanEffB0_.initValue(initMeanEffB0); meanEffB0_.genValue(initMeanEffB0);
extraVars.push_back(meanEffB0_);
// Also add in the DP rates
Double_t initDPRateB0bar = sigModelB0bar_->getDPRate().initValue();
DPRateB0bar_.value(initDPRateB0bar); DPRateB0bar_.initValue(initDPRateB0bar); DPRateB0bar_.genValue(initDPRateB0bar);
extraVars.push_back(DPRateB0bar_);
Double_t initDPRateB0 = sigModelB0_->getDPRate().initValue();
DPRateB0_.value(initDPRateB0); DPRateB0_.initValue(initDPRateB0); DPRateB0_.genValue(initDPRateB0);
extraVars.push_back(DPRateB0_);
}
void LauTimeDepFitModel::setAsymmetries(const Double_t AProd, const Bool_t AProdFix){
AProd_.value(AProd);
AProd_.fixed(AProdFix);
}
void LauTimeDepFitModel::finaliseFitResults(const TString& tablePrefixName)
{
// Retrieve parameters from the fit results for calculations and toy generation
// and eventually store these in output root ntuples/text files
// Now take the fit parameters and update them as necessary
// i.e. to make mag > 0.0, phase in the right range.
// This function will also calculate any other values, such as the
// fit fractions, using any errors provided by fitParErrors as appropriate.
// Also obtain the pull values: (measured - generated)/(average error)
if (this->useDP() == kTRUE) {
for (UInt_t i = 0; i < nSigComp_; ++i) {
// Check whether we have "a > 0.0", and phases in the right range
coeffPars_[i]->finaliseValues();
}
}
// update the pulls on the event fractions and asymmetries
if (this->doEMLFit()) {
signalEvents_->updatePull();
}
if (this->useDP() == kFALSE) {
signalAsym_->updatePull();
}
// Finalise the pulls on the decay time parameters
signalDecayTimePdf_->updatePulls();
// and for backgrounds if required
if (usingBkgnd_){
for (std::vector<LauDecayTimePdf*>::iterator iter = BkgndDecayTimePdfs_.begin(); iter != BkgndDecayTimePdfs_.end(); ++iter) {
LauDecayTimePdf* pdf = *iter;
pdf->updatePulls();
}
}
if (useSinCos_) {
if ( not sinPhiMix_.fixed() ) {
sinPhiMix_.updatePull();
cosPhiMix_.updatePull();
}
} else {
this->checkMixingPhase();
}
if (usingBkgnd_ == kTRUE) {
for (LauBkgndYieldList::iterator iter = bkgndEvents_.begin(); iter != bkgndEvents_.end(); ++iter) {
std::vector<LauParameter*> parameters = (*iter)->getPars();
for ( LauParameter* parameter : parameters ) {
parameter->updatePull();
}
}
for (LauBkgndYieldList::iterator iter = bkgndAsym_.begin(); iter != bkgndAsym_.end(); ++iter) {
std::vector<LauParameter*> parameters = (*iter)->getPars();
for ( LauParameter* parameter : parameters ) {
parameter->updatePull();
}
}
}
// Update the pulls on all the extra PDFs' parameters
this->updateFitParameters(sigExtraPdf_);
if (usingBkgnd_ == kTRUE) {
for (LauBkgndPdfsList::iterator iter = BkgndPdfs_.begin(); iter != BkgndPdfs_.end(); ++iter) {
this->updateFitParameters(*iter);
}
}
// Fill the fit results to the ntuple
// update the coefficients and then calculate the fit fractions and ACP's
if (this->useDP() == kTRUE) {
this->updateCoeffs();
sigModelB0bar_->updateCoeffs(coeffsB0bar_); sigModelB0bar_->calcExtraInfo();
sigModelB0_->updateCoeffs(coeffsB0_); sigModelB0_->calcExtraInfo();
LauParArray fitFracB0bar = sigModelB0bar_->getFitFractions();
if (fitFracB0bar.size() != nSigComp_) {
std::cerr<<"ERROR in LauTimeDepFitModel::finaliseFitResults : Fit Fraction array of unexpected dimension: "<<fitFracB0bar.size()<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
for (UInt_t i(0); i<nSigComp_; ++i) {
if (fitFracB0bar[i].size() != nSigComp_) {
std::cerr<<"ERROR in LauTimeDepFitModel::finaliseFitResults : Fit Fraction array of unexpected dimension: "<<fitFracB0bar[i].size()<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
}
LauParArray fitFracB0 = sigModelB0_->getFitFractions();
if (fitFracB0.size() != nSigComp_) {
std::cerr<<"ERROR in LauTimeDepFitModel::finaliseFitResults : Fit Fraction array of unexpected dimension: "<<fitFracB0.size()<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
for (UInt_t i(0); i<nSigComp_; ++i) {
if (fitFracB0[i].size() != nSigComp_) {
std::cerr<<"ERROR in LauTimeDepFitModel::finaliseFitResults : Fit Fraction array of unexpected dimension: "<<fitFracB0[i].size()<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
}
for (UInt_t i(0); i<nSigComp_; ++i) {
for (UInt_t j(i); j<nSigComp_; ++j) {
fitFracB0bar_[i][j].value(fitFracB0bar[i][j].value());
fitFracB0_[i][j].value(fitFracB0[i][j].value());
}
}
meanEffB0bar_.value(sigModelB0bar_->getMeanEff().value());
meanEffB0_.value(sigModelB0_->getMeanEff().value());
DPRateB0bar_.value(sigModelB0bar_->getDPRate().value());
DPRateB0_.value(sigModelB0_->getDPRate().value());
this->calcAsymmetries();
// Then store the final fit parameters, and any extra parameters for
// the signal model (e.g. fit fractions, FF asymmetries, ACPs, mean efficiency and DP rate)
this->clearExtraVarVectors();
LauParameterList& extraVars = this->extraPars();
for (UInt_t i(0); i<nSigComp_; ++i) {
for (UInt_t j(i); j<nSigComp_; ++j) {
extraVars.push_back(fitFracB0bar_[i][j]);
}
}
for (UInt_t i(0); i<nSigComp_; ++i) {
for (UInt_t j(i); j<nSigComp_; ++j) {
extraVars.push_back(fitFracB0_[i][j]);
}
}
for (UInt_t i(0); i<nSigComp_; ++i) {
extraVars.push_back(fitFracAsymm_[i]);
}
for (UInt_t i(0); i<nSigComp_; ++i) {
extraVars.push_back(acp_[i]);
}
extraVars.push_back(meanEffB0bar_);
extraVars.push_back(meanEffB0_);
extraVars.push_back(DPRateB0bar_);
extraVars.push_back(DPRateB0_);
this->printFitFractions(std::cout);
this->printAsymmetries(std::cout);
}
const LauParameterPList& fitVars = this->fitPars();
const LauParameterList& extraVars = this->extraPars();
LauFitNtuple* ntuple = this->fitNtuple();
ntuple->storeParsAndErrors(fitVars, extraVars);
// find out the correlation matrix for the parameters
ntuple->storeCorrMatrix(this->iExpt(), this->fitStatus(), this->covarianceMatrix());
// Fill the data into ntuple
ntuple->updateFitNtuple();
// Print out the partial fit fractions, phases and the
// averaged efficiency, reweighted by the dynamics (and anything else)
if (this->writeLatexTable()) {
TString sigOutFileName(tablePrefixName);
sigOutFileName += "_"; sigOutFileName += this->iExpt(); sigOutFileName += "Expt.tex";
this->writeOutTable(sigOutFileName);
}
}
void LauTimeDepFitModel::printFitFractions(std::ostream& output)
{
// Print out Fit Fractions, total DP rate and mean efficiency
// First for the B0bar events
for (UInt_t i = 0; i < nSigComp_; i++) {
const TString compName(coeffPars_[i]->name());
output<<"B0bar FitFraction for component "<<i<<" ("<<compName<<") = "<<fitFracB0bar_[i][i]<<std::endl;
}
output<<"B0bar overall DP rate (integral of matrix element squared) = "<<DPRateB0bar_<<std::endl;
output<<"B0bar average efficiency weighted by whole DP dynamics = "<<meanEffB0bar_<<std::endl;
// Then for the B0 sample
for (UInt_t i = 0; i < nSigComp_; i++) {
const TString compName(coeffPars_[i]->name());
const TString conjName(sigModelB0bar_->getConjResName(compName));
output<<"B0 FitFraction for component "<<i<<" ("<<conjName<<") = "<<fitFracB0_[i][i]<<std::endl;
}
output<<"B0 overall DP rate (integral of matrix element squared) = "<<DPRateB0_<<std::endl;
output<<"B0 average efficiency weighted by whole DP dynamics = "<<meanEffB0_<<std::endl;
}
void LauTimeDepFitModel::printAsymmetries(std::ostream& output)
{
for (UInt_t i = 0; i < nSigComp_; i++) {
const TString compName(coeffPars_[i]->name());
output<<"Fit Fraction asymmetry for component "<<i<<" ("<<compName<<") = "<<fitFracAsymm_[i]<<std::endl;
}
for (UInt_t i = 0; i < nSigComp_; i++) {
const TString compName(coeffPars_[i]->name());
output<<"ACP for component "<<i<<" ("<<compName<<") = "<<acp_[i].value()<<" +- "<<acp_[i].error()<<std::endl;
}
}
void LauTimeDepFitModel::writeOutTable(const TString& outputFile)
{
// Write out the results of the fit to a tex-readable table
std::ofstream fout(outputFile);
LauPrint print;
std::cout<<"INFO in LauTimeDepFitModel::writeOutTable : Writing out results of the fit to the tex file "<<outputFile<<std::endl;
if (this->useDP() == kTRUE) {
// print the fit coefficients in one table
coeffPars_.front()->printTableHeading(fout);
for (UInt_t i = 0; i < nSigComp_; i++) {
coeffPars_[i]->printTableRow(fout);
}
fout<<"\\hline"<<std::endl;
fout<<"\\end{tabular}"<<std::endl<<std::endl;
// print the fit fractions in another
fout<<"\\begin{tabular}{|l|c|c|c|c|}"<<std::endl;
fout<<"\\hline"<<std::endl;
fout<<"Component & \\Bzb\\ Fit Fraction & \\Bz\\ Fit Fraction & Fit Fraction Asymmetry & $A_{\\CP}$ \\\\"<<std::endl;
fout<<"\\hline"<<std::endl;
Double_t fitFracSumB0bar(0.0);
Double_t fitFracSumB0(0.0);
for (UInt_t i = 0; i < nSigComp_; i++) {
TString resName = coeffPars_[i]->name();
resName = resName.ReplaceAll("_", "\\_");
fout<<resName<<" & $";
Double_t fitFracB0bar = fitFracB0bar_[i][i].value();
fitFracSumB0bar += fitFracB0bar;
print.printFormat(fout, fitFracB0bar);
fout << "$ & $" << std::endl;
Double_t fitFracB0 = fitFracB0_[i][i].value();
fitFracSumB0 += fitFracB0;
print.printFormat(fout, fitFracB0);
fout << "$ & $" << std::endl;
Double_t fitFracAsymm = fitFracAsymm_[i].value();
print.printFormat(fout, fitFracAsymm);
fout << "$ & $" << std::endl;
Double_t acp = acp_[i].value();
Double_t acpErr = acp_[i].error();
print.printFormat(fout, acp);
fout<<" \\pm ";
print.printFormat(fout, acpErr);
fout<<"$ \\\\"<<std::endl;
}
fout<<"\\hline"<<std::endl;
// Also print out sum of fit fractions
fout << "Fit Fraction Sum = & $";
print.printFormat(fout, fitFracSumB0bar);
fout << "$ & $";
print.printFormat(fout, fitFracSumB0);
fout << "$ & & \\\\" << std::endl;
fout << "\\hline \n\\hline" << std::endl;
fout << "DP rate = & $";
print.printFormat(fout, DPRateB0bar_.value());
fout << "$ & $";
print.printFormat(fout, DPRateB0_.value());
fout << "$ & & \\\\" << std::endl;
fout << "$< \\varepsilon > =$ & $";
print.printFormat(fout, meanEffB0bar_.value());
fout << "$ & $";
print.printFormat(fout, meanEffB0_.value());
fout << "$ & & \\\\" << std::endl;
if (useSinCos_) {
fout << "$\\sinPhiMix =$ & $";
print.printFormat(fout, sinPhiMix_.value());
fout << " \\pm ";
print.printFormat(fout, sinPhiMix_.error());
fout << "$ & & & & & & & \\\\" << std::endl;
fout << "$\\cosPhiMix =$ & $";
print.printFormat(fout, cosPhiMix_.value());
fout << " \\pm ";
print.printFormat(fout, cosPhiMix_.error());
fout << "$ & & & & & & & \\\\" << std::endl;
} else {
fout << "$\\phiMix =$ & $";
print.printFormat(fout, phiMix_.value());
fout << " \\pm ";
print.printFormat(fout, phiMix_.error());
fout << "$ & & & & & & & \\\\" << std::endl;
}
fout << "\\hline \n\\end{tabular}" << std::endl;
}
if (!sigExtraPdf_.empty()) {
fout<<"\\begin{tabular}{|l|c|}"<<std::endl;
fout<<"\\hline"<<std::endl;
fout<<"\\Extra Signal PDFs' Parameters: & \\\\"<<std::endl;
this->printFitParameters(sigExtraPdf_, fout);
if (usingBkgnd_ == kTRUE && !BkgndPdfs_.empty()) {
fout << "\\hline" << std::endl;
fout << "\\Extra Background PDFs' Parameters: & \\\\" << std::endl;
for (LauBkgndPdfsList::const_iterator iter = BkgndPdfs_.begin(); iter != BkgndPdfs_.end(); ++iter) {
this->printFitParameters(*iter, fout);
}
}
fout<<"\\hline \n\\end{tabular}"<<std::endl<<std::endl;
}
}
void LauTimeDepFitModel::checkInitFitParams()
{
// Update the number of signal events to be total-sum(background events)
this->updateSigEvents();
// Check whether we want to have randomised initial fit parameters for the signal model
if (this->useRandomInitFitPars() == kTRUE) {
this->randomiseInitFitPars();
}
}
void LauTimeDepFitModel::randomiseInitFitPars()
{
// Only randomise those parameters that are not fixed!
std::cout<<"INFO in LauTimeDepFitModel::randomiseInitFitPars : Randomising the initial values of the coefficients of the DP components (and phiMix)..."<<std::endl;
for (UInt_t i = 0; i < nSigComp_; i++) {
coeffPars_[i]->randomiseInitValues();
}
phiMix_.randomiseValue(-LauConstants::pi, LauConstants::pi);
if (useSinCos_) {
sinPhiMix_.initValue(TMath::Sin(phiMix_.initValue()));
cosPhiMix_.initValue(TMath::Cos(phiMix_.initValue()));
}
}
LauTimeDepFitModel::LauGenInfo LauTimeDepFitModel::eventsToGenerate()
{
// Determine the number of events to generate for each hypothesis
// If we're smearing then smear each one individually
// NB this individual smearing has to be done individually per tagging category as well
LauGenInfo nEvtsGen;
// Signal
// If we're including the DP and decay time we can't decide on the tag
// yet, since it depends on the whole DP+dt PDF, however, if
// we're not then we need to decide.
Double_t evtWeight(1.0);
Double_t nEvts = signalEvents_->genValue();
if ( nEvts < 0.0 ) {
evtWeight = -1.0;
nEvts = TMath::Abs( nEvts );
}
//TOD sigAysm doesn't do anything here?
Double_t sigAsym(0.0);
if (this->useDP() == kFALSE) {
sigAsym = signalAsym_->genValue();
//TODO fill in here if we care
} else {
Double_t rateB0bar = sigModelB0bar_->getDPRate().value();
Double_t rateB0 = sigModelB0_->getDPRate().value();
if ( rateB0bar+rateB0 > 1e-30) {
sigAsym = (rateB0bar-rateB0)/(rateB0bar+rateB0);
}
//for (LauTagCatParamMap::const_iterator iter = signalTagCatFrac.begin(); iter != signalTagCatFrac.end(); ++iter) {
// const LauParameter& par = iter->second;
// Double_t eventsbyTagCat = par.value() * nEvts;
// if (this->doPoissonSmearing()) {
// eventsbyTagCat = LauRandom::randomFun()->Poisson(eventsbyTagCat);
// }
// eventsB0[iter->first] = std::make_pair( TMath::Nint(eventsbyTagCat), evtWeight );
//}
//nEvtsGen[std::make_pair("signal",0)] = eventsB0; // generate signal event, decide tag later.
nEvtsGen["signal"] = std::make_pair( nEvts, evtWeight );
}
std::cout<<"INFO in LauTimeDepFitModel::eventsToGenerate : Generating toy MC with:"<<std::endl;
std::cout<<" : Signal asymmetry = "<<sigAsym<<" and number of signal events = "<<signalEvents_->genValue()<<std::endl;
//TODO backgrounds
if (usingBkgnd_){
for ( UInt_t bkgndID(0); bkgndID < this->nBkgndClasses(); ++bkgndID ) {
nEvtsGen[this->bkgndClassName(bkgndID)] = std::make_pair( bkgndEvents_[bkgndID]->genValue(), evtWeight);
std::cout<<" : Number of "<<this->bkgndClassName(bkgndID)<<" background events = "<<bkgndEvents_[bkgndID]->genValue()<<std::endl;
}
}
return nEvtsGen;
}
Bool_t LauTimeDepFitModel::genExpt()
{
// Routine to generate toy Monte Carlo events according to the various models we have defined.
// Determine the number of events to generate for each hypothesis
LauGenInfo nEvts = this->eventsToGenerate();
Bool_t genOK(kTRUE);
Int_t evtNum(0);
const UInt_t nBkgnds = this->nBkgndClasses();
std::vector<TString> bkgndClassNames(nBkgnds);
std::vector<TString> bkgndClassNamesGen(nBkgnds);
for ( UInt_t iBkgnd(0); iBkgnd < nBkgnds; ++iBkgnd ) {
TString name( this->bkgndClassName(iBkgnd) );
bkgndClassNames[iBkgnd] = name;
bkgndClassNamesGen[iBkgnd] = "gen"+name;
}
// Loop over the hypotheses and generate the appropriate number of
// events for each one
for (LauGenInfo::const_iterator iter = nEvts.begin(); iter != nEvts.end(); ++iter) {
// find the category of events (e.g. signal)
const TString& evtCategory(iter->first);
// Type
const TString& type(iter->first);
// Number of events
Int_t nEvtsGen( iter->second.first );
// get the event weight for this category
const Double_t evtWeight( iter->second.second );
for (Int_t iEvt(0); iEvt<nEvtsGen; ++iEvt) {
this->setGenNtupleDoubleBranchValue( "evtWeight", evtWeight );
if (evtCategory == "signal") {
this->setGenNtupleIntegerBranchValue("genSig",1);
for ( UInt_t iBkgnd(0); iBkgnd < nBkgnds; ++iBkgnd ) {
this->setGenNtupleIntegerBranchValue( bkgndClassNamesGen[iBkgnd], 0 );
}
// All the generate*Event() methods have to fill in curEvtDecayTime_ and curEvtDecayTimeErr_
// In addition, generateSignalEvent has to decide on the tag and fill in curEvtTagFlv_
genOK = this->generateSignalEvent();
} else {
this->setGenNtupleIntegerBranchValue("genSig",0);
UInt_t bkgndID(0);
for ( UInt_t iBkgnd(0); iBkgnd < nBkgnds; ++iBkgnd ) {
Int_t gen(0);
if ( bkgndClassNames[iBkgnd] == type ) {
gen = 1;
bkgndID = iBkgnd;
}
this->setGenNtupleIntegerBranchValue( bkgndClassNamesGen[iBkgnd], gen );
}
genOK = this->generateBkgndEvent(bkgndID);
}
if (!genOK) {
// If there was a problem with the generation then break out and return.
// The problem model will have adjusted itself so that all should be OK next time.
break;
}
if (this->useDP() == kTRUE) {
this->setDPDtBranchValues(); // store DP, decay time and tagging variables in the ntuple
}
// Store the event's tag and tagging category
this->setGenNtupleIntegerBranchValue("cpEigenvalue", cpEigenValue_);
const TString& trueTagVarName { flavTag_->getTrueTagVarName() };
if ( trueTagVarName != "" ) {
this->setGenNtupleIntegerBranchValue(trueTagVarName, curEvtTrueTagFlv_);
}
if ( cpEigenValue_ == QFS ) {
const TString& decayFlvVarName { flavTag_->getDecayFlvVarName() };
if ( decayFlvVarName != "" ) {
this->setGenNtupleIntegerBranchValue(decayFlvVarName, curEvtDecayFlv_);
}
}
const std::vector<TString>& tagVarNames { flavTag_->getTagVarNames() };
const std::vector<TString>& mistagVarNames { flavTag_->getMistagVarNames() };
// Loop over the taggers - values set via generateSignalEvent
const ULong_t nTaggers {flavTag_->getNTaggers()};
for (ULong_t i=0; i<nTaggers; ++i){
this->setGenNtupleIntegerBranchValue(tagVarNames[i], curEvtTagFlv_[i]);
this->setGenNtupleDoubleBranchValue(mistagVarNames[i], curEvtMistag_[i]);
}
// Store the event number (within this experiment)
// and then increment it
this->setGenNtupleIntegerBranchValue("iEvtWithinExpt",evtNum);
++evtNum;
// Write the values into the tree
this->fillGenNtupleBranches();
// Print an occasional progress message
if (iEvt%1000 == 0) {std::cout<<"INFO in LauTimeDepFitModel::genExpt : Generated event number "<<iEvt<<" out of "<<nEvtsGen<<" "<<evtCategory<<" events."<<std::endl;}
}
} //end of loop over species and tagFlv.
if (this->useDP() && genOK) {
sigModelB0bar_->checkToyMC(kTRUE);
sigModelB0_->checkToyMC(kTRUE);
std::cout<<"aSqMaxSet = "<<aSqMaxSet_<<" and aSqMaxVar = "<<aSqMaxVar_<<std::endl;
// Get the fit fractions if they're to be written into the latex table
if (this->writeLatexTable()) {
LauParArray fitFracB0bar = sigModelB0bar_->getFitFractions();
if (fitFracB0bar.size() != nSigComp_) {
std::cerr<<"ERROR in LauTimeDepFitModel::generate : Fit Fraction array of unexpected dimension: "<<fitFracB0bar.size()<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
for (UInt_t i(0); i<nSigComp_; ++i) {
if (fitFracB0bar[i].size() != nSigComp_) {
std::cerr<<"ERROR in LauTimeDepFitModel::generate : Fit Fraction array of unexpected dimension: "<<fitFracB0bar[i].size()<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
}
LauParArray fitFracB0 = sigModelB0_->getFitFractions();
if (fitFracB0.size() != nSigComp_) {
std::cerr<<"ERROR in LauTimeDepFitModel::generate : Fit Fraction array of unexpected dimension: "<<fitFracB0.size()<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
for (UInt_t i(0); i<nSigComp_; ++i) {
if (fitFracB0[i].size() != nSigComp_) {
std::cerr<<"ERROR in LauTimeDepFitModel::generate : Fit Fraction array of unexpected dimension: "<<fitFracB0[i].size()<<std::endl;
gSystem->Exit(EXIT_FAILURE);
}
}
for (UInt_t i(0); i<nSigComp_; ++i) {
for (UInt_t j(i); j<nSigComp_; ++j) {
fitFracB0bar_[i][j].value(fitFracB0bar[i][j].value());
fitFracB0_[i][j].value(fitFracB0[i][j].value());
}
}
meanEffB0bar_.value(sigModelB0bar_->getMeanEff().value());
meanEffB0_.value(sigModelB0_->getMeanEff().value());
DPRateB0bar_.value(sigModelB0bar_->getDPRate().value());
DPRateB0_.value(sigModelB0_->getDPRate().value());
}
}
// If we're reusing embedded events or if the generation is being
// reset then clear the lists of used events
if (reuseSignal_ || !genOK) {
if (signalTree_) {
signalTree_->clearUsedList();
}
}
for ( UInt_t bkgndID(0); bkgndID < nBkgnds; ++bkgndID ) {
LauEmbeddedData* data = bkgndTree_[bkgndID];
if (reuseBkgnd_[bkgndID] || !genOK) {
if (data) {
data->clearUsedList();
}
}
}
return genOK;
}
Bool_t LauTimeDepFitModel::generateSignalEvent()
{
// Generate signal event, including SCF if necessary.
// DP:DecayTime generation follows.
// If it's ok, we then generate mES, DeltaE, Fisher/NN...
Bool_t genOK(kTRUE);
Bool_t generatedEvent(kFALSE);
Bool_t doSquareDP = kinematicsB0bar_->squareDP();
doSquareDP &= kinematicsB0_->squareDP();
LauKinematics* kinematics(kinematicsB0bar_);
if (this->useDP()) {
if (signalTree_) {
signalTree_->getEmbeddedEvent(kinematics);
//curEvtTagFlv_ = TMath::Nint(signalTree_->getValue("tagFlv"));
curEvtDecayTimeErr_ = signalTree_->getValue(signalDecayTimePdf_->varErrName());
curEvtDecayTime_ = signalTree_->getValue(signalDecayTimePdf_->varName());
if (signalTree_->haveBranch("mcMatch")) {
Int_t match = TMath::Nint(signalTree_->getValue("mcMatch"));
if (match) {
this->setGenNtupleIntegerBranchValue("genTMSig",1);
this->setGenNtupleIntegerBranchValue("genSCFSig",0);
} else {
this->setGenNtupleIntegerBranchValue("genTMSig",0);
this->setGenNtupleIntegerBranchValue("genSCFSig",1);
}
}
} else {
nGenLoop_ = 0;
// Now generate from the combined DP / decay-time PDF
while (generatedEvent == kFALSE && nGenLoop_ < iterationsMax_) {
curEvtTrueTagFlv_ = LauFlavTag::Flavour::Unknown;
curEvtDecayFlv_ = LauFlavTag::Flavour::Unknown;
// First choose the true tag, accounting for the production asymmetry
// CONVENTION WARNING regarding meaning of sign of AProd
Double_t random = LauRandom::randomFun()->Rndm();
if (random <= 0.5 * ( 1.0 - AProd_.unblindValue() ) ) {
curEvtTrueTagFlv_ = LauFlavTag::Flavour::B;
} else {
curEvtTrueTagFlv_ = LauFlavTag::Flavour::Bbar;
}
// Generate the DP position
Double_t m13Sq{0.0}, m23Sq{0.0};
kinematicsB0bar_->genFlatPhaseSpace(m13Sq, m23Sq);
// Next, calculate the total A and Abar for the given DP position
sigModelB0_->calcLikelihoodInfo(m13Sq, m23Sq);
sigModelB0bar_->calcLikelihoodInfo(m13Sq, m23Sq);
// Generate decay time
const Double_t tMin = signalDecayTimePdf_->minAbscissa();
const Double_t tMax = signalDecayTimePdf_->maxAbscissa();
curEvtDecayTime_ = LauRandom::randomFun()->Rndm()*(tMax-tMin) + tMin;
// Generate the decay time error (NB the kTRUE forces the generation of a new value)
curEvtDecayTimeErr_ = signalDecayTimePdf_->generateError(kTRUE);
// Calculate all the decay time info
signalDecayTimePdf_->calcLikelihoodInfo(curEvtDecayTime_,curEvtDecayTimeErr_);
// Retrieve the amplitudes and efficiency from the dynamics
const LauComplex& Abar { sigModelB0bar_->getEvtDPAmp() };
const LauComplex& A { sigModelB0_->getEvtDPAmp() };
const Double_t ASq { A.abs2() };
const Double_t AbarSq { Abar.abs2() };
const Double_t dpEff { sigModelB0bar_->getEvtEff() };
// Also retrieve all the decay time terms
const Double_t dtCos { signalDecayTimePdf_->getCosTerm() };
const Double_t dtSin { signalDecayTimePdf_->getSinTerm() };
const Double_t dtCosh { signalDecayTimePdf_->getCoshTerm() };
const Double_t dtSinh { signalDecayTimePdf_->getSinhTerm() };
// and the decay time acceptance
const Double_t dtEff { signalDecayTimePdf_->getEffiTerm() };
if ( cpEigenValue_ == QFS) {
// Calculate the total intensities for each flavour-specific final state
const Double_t ATotSq { ( ASq * dtCosh + curEvtTrueTagFlv_ * ASq * dtCos ) * dpEff * dtEff };
const Double_t AbarTotSq { ( AbarSq * dtCosh - curEvtTrueTagFlv_ * AbarSq * dtCos ) * dpEff * dtEff };
const Double_t ASumSq { ATotSq + AbarTotSq };
// Finally we throw the dice to see whether this event should be generated (and, if so, which final state)
const Double_t randNum = LauRandom::randomFun()->Rndm();
if (randNum <= ASumSq / aSqMaxSet_ ) {
generatedEvent = kTRUE;
nGenLoop_ = 0;
if (ASumSq > aSqMaxVar_) {aSqMaxVar_ = ASumSq;}
if ( randNum <= ATotSq / aSqMaxSet_ ) {
curEvtDecayFlv_ = LauFlavTag::Flavour::B;
} else {
curEvtDecayFlv_ = LauFlavTag::Flavour::Bbar;
}
// Generate the flavour tagging information from the true tag
// (we do this after accepting the event to save time)
- flavTag_->generateEventInfo( curEvtTrueTagFlv_ );
+ flavTag_->generateEventInfo( curEvtTrueTagFlv_, curEvtDecayTime_ );
curEvtTagFlv_ = flavTag_->getCurEvtTagFlv();
curEvtMistag_ = flavTag_->getCurEvtMistag();
} else {
nGenLoop_++;
}
} else {
// Calculate the DP terms
const Double_t aSqSum { ASq + AbarSq };
const Double_t aSqDif { ASq - AbarSq };
const LauComplex inter { Abar * A.conj() * phiMixComplex_ };
const Double_t interTermIm { ( cpEigenValue_ == CPEven ) ? 2.0 * inter.im() : -2.0 * inter.im() };
const Double_t interTermRe { ( cpEigenValue_ == CPEven ) ? 2.0 * inter.re() : -2.0 * inter.re() };
// Combine DP and decay-time info for all terms
const Double_t coshTerm { aSqSum * dtCosh };
const Double_t sinhTerm { interTermRe * dtSinh };
const Double_t cosTerm { aSqDif * dtCos };
const Double_t sinTerm { interTermIm * dtSin };
// Sum to obtain the total and multiply by the efficiency
// Multiplying the cos and sin terms by the true flavour at production
const Double_t ATotSq { ( coshTerm + sinhTerm + curEvtTrueTagFlv_ * ( cosTerm - sinTerm ) ) * dpEff * dtEff };
//Finally we throw the dice to see whether this event should be generated
const Double_t randNum = LauRandom::randomFun()->Rndm();
if (randNum <= ATotSq/aSqMaxSet_ ) {
generatedEvent = kTRUE;
nGenLoop_ = 0;
if (ATotSq > aSqMaxVar_) {aSqMaxVar_ = ATotSq;}
// Generate the flavour tagging information from the true tag
// (we do this after accepting the event to save time)
- flavTag_->generateEventInfo( curEvtTrueTagFlv_ );
+ flavTag_->generateEventInfo( curEvtTrueTagFlv_, curEvtDecayTime_ );
curEvtTagFlv_ = flavTag_->getCurEvtTagFlv();
curEvtMistag_ = flavTag_->getCurEvtMistag();
} else {
nGenLoop_++;
}
}
} // end of while !generatedEvent loop
} // end of if (signalTree_) else control
} else {
if ( signalTree_ ) {
signalTree_->getEmbeddedEvent(0);
//curEvtTagFlv_ = TMath::Nint(signalTree_->getValue("tagFlv"));
curEvtDecayTimeErr_ = signalTree_->getValue(signalDecayTimePdf_->varErrName());
curEvtDecayTime_ = signalTree_->getValue(signalDecayTimePdf_->varName());
}
}
// Check whether we have generated the toy MC OK.
if (nGenLoop_ >= iterationsMax_) {
aSqMaxSet_ = 1.01 * aSqMaxVar_;
genOK = kFALSE;
std::cerr<<"WARNING in LauTimeDepFitModel::generateSignalEvent : Hit max iterations: setting aSqMaxSet_ to "<<aSqMaxSet_<<std::endl;
} else if (aSqMaxVar_ > aSqMaxSet_) {
aSqMaxSet_ = 1.01 * aSqMaxVar_;
genOK = kFALSE;
std::cerr<<"WARNING in LauTimeDepFitModel::generateSignalEvent : Found a larger ASq value: setting aSqMaxSet_ to "<<aSqMaxSet_<<std::endl;
}
if (genOK) {
//Some variables, like Fisher or NN, might use m13Sq and m23Sq from the kinematics
//kinematicsB0bar_ is up to date, update kinematicsB0_
kinematicsB0_->updateKinematics(kinematicsB0bar_->getm13Sq(), kinematicsB0bar_->getm23Sq() );
this->generateExtraPdfValues(sigExtraPdf_, signalTree_);
}
// Check for problems with the embedding
if (signalTree_ && (signalTree_->nEvents() == signalTree_->nUsedEvents())) {
std::cerr<<"WARNING in LauTimeDepFitModel::generateSignalEvent : Source of embedded signal events used up, clearing the list of used events."<<std::endl;
signalTree_->clearUsedList();
}
return genOK;
}
Bool_t LauTimeDepFitModel::generateBkgndEvent([[maybe_unused]] UInt_t bkgndID)
{
// Generate Bkgnd event
Bool_t genOK(kTRUE);
//TODO DecayTime part?
//TODO Flavour tagging part? LauFlavTag::generateBkgndEventInfo()
//LauAbsBkgndDPModel* model(0);
//LauEmbeddedData* embeddedData(0);
//LauPdfList* extraPdfs(0);
//LauKinematics* kinematics(0);
//model = BkgndDPModels_[bkgndID];
//if (this->enableEmbedding()) {
// // find the right embedded data for the current tagging category
// LauTagCatEmbDataMap::const_iterator emb_iter = bkgndTree_[bkgndID].find(curEvtTagCat_);
// embeddedData = (emb_iter != bkgndTree_[bkgndID].end()) ? emb_iter->second : 0;
//}
//extraPdfs = &BkgndPdfs_[bkgndID];
//kinematics = kinematicsB0bar_;
//if (this->useDP()) {
// if (embeddedData) {
// embeddedData->getEmbeddedEvent(kinematics);
// } else {
// if (model == 0) {
// const TString& bkgndClass = this->bkgndClassName(bkgndID);
// std::cerr << "ERROR in LauCPFitModel::generateBkgndEvent : Can't find the DP model for background class \"" << bkgndClass << "\"." << std::endl;
// gSystem->Exit(EXIT_FAILURE);
// }
// genOK = model->generate();
// }
//} else {
// if (embeddedData) {
// embeddedData->getEmbeddedEvent(0);
// }
//}
//if (genOK) {
// this->generateExtraPdfValues(extraPdfs, embeddedData);
//}
//// Check for problems with the embedding
//if (embeddedData && (embeddedData->nEvents() == embeddedData->nUsedEvents())) {
// const TString& bkgndClass = this->bkgndClassName(bkgndID);
// std::cerr << "WARNING in LauCPFitModel::generateBkgndEvent : Source of embedded " << bkgndClass << " events used up, clearing the list of used events." << std::endl;
// embeddedData->clearUsedList();
//}
//
//TODO Placeholder to allow gen to run for examples
if( BkgndTypes_[bkgndID]!=LauFlavTag::Combinatorial )
{
std::cout << "WARNING in LauTimeDepFitModel::generateBkgndEvent : Non-combinatorial cases aren't being dealt with right now, returning without generation" << std::endl;
return kFALSE;
}
Double_t random = LauRandom::randomFun()->Rndm();
if (random <= 0.5 * ( 1.0 - AProd_.unblindValue() ) ) {
curEvtTrueTagFlv_ = LauFlavTag::Flavour::B;
} else {
curEvtTrueTagFlv_ = LauFlavTag::Flavour::Bbar;
}
+ //generate decay time and dt error
+ curEvtDecayTimeErr_ = BkgndDecayTimePdfs_[bkgndID]->generateError(kTRUE);
+ curEvtDecayTime_ = BkgndDecayTimePdfs_[bkgndID]->generate( kinematicsB0_ );
+
if (BkgndTypes_[bkgndID]==LauFlavTag::Combinatorial){
- flavTag_->generateBkgndEventInfo( curEvtTrueTagFlv_ ,bkgndID);
+ flavTag_->generateBkgndEventInfo( curEvtTrueTagFlv_ , curEvtDecayTime_, bkgndID);
} else if (BkgndTypes_[bkgndID]==LauFlavTag::SignalLike){
- flavTag_->generateEventInfo( curEvtTrueTagFlv_ );
+ flavTag_->generateEventInfo( curEvtTrueTagFlv_, curEvtDecayTime_ );
}
curEvtTagFlv_ = flavTag_->getCurEvtTagFlv();
curEvtMistag_ = flavTag_->getCurEvtMistag();
//TODO make all this work depending on B flavour later
//generate a DP point
BkgndDPModelsB_[bkgndID]->generate();
- //generate decay time and dt error
- curEvtDecayTimeErr_ = BkgndDecayTimePdfs_[bkgndID]->generateError(kTRUE);
- curEvtDecayTime_ = BkgndDecayTimePdfs_[bkgndID]->generate( kinematicsB0_ );
-
//TODO this only works for comb.
if( cpEigenValue_ == CPEigenvalue::QFS ){curEvtDecayFlv_ = LauFlavTag::Flavour::B;}
return genOK;
}
void LauTimeDepFitModel::setupGenNtupleBranches()
{
// Setup the required ntuple branches
this->addGenNtupleDoubleBranch("evtWeight");
this->addGenNtupleIntegerBranch("genSig");
this->addGenNtupleIntegerBranch("cpEigenvalue");
const TString& trueTagVarName { flavTag_->getTrueTagVarName() };
if ( trueTagVarName != "" ) {
this->addGenNtupleIntegerBranch(trueTagVarName);
}
if ( cpEigenValue_ == QFS ) {
const TString& decayFlvVarName { flavTag_->getDecayFlvVarName() };
if ( decayFlvVarName != "" ) {
this->addGenNtupleIntegerBranch(decayFlvVarName);
}
}
const std::vector<TString>& tagVarNames { flavTag_->getTagVarNames() };
const std::vector<TString>& mistagVarNames { flavTag_->getMistagVarNames() };
const ULong_t nTaggers {flavTag_->getNTaggers()};
for (ULong_t position{0}; position<nTaggers; ++position){
this->addGenNtupleIntegerBranch(tagVarNames[position]);
this->addGenNtupleDoubleBranch(mistagVarNames[position]);
}
if (this->useDP() == kTRUE) {
// Let's add the decay time variables.
this->addGenNtupleDoubleBranch(signalDecayTimePdf_->varName());
this->addGenNtupleDoubleBranch(signalDecayTimePdf_->varErrName());
this->addGenNtupleDoubleBranch("m12");
this->addGenNtupleDoubleBranch("m23");
this->addGenNtupleDoubleBranch("m13");
this->addGenNtupleDoubleBranch("m12Sq");
this->addGenNtupleDoubleBranch("m23Sq");
this->addGenNtupleDoubleBranch("m13Sq");
this->addGenNtupleDoubleBranch("cosHel12");
this->addGenNtupleDoubleBranch("cosHel23");
this->addGenNtupleDoubleBranch("cosHel13");
if (kinematicsB0bar_->squareDP() && kinematicsB0_->squareDP()) {
this->addGenNtupleDoubleBranch("mPrime");
this->addGenNtupleDoubleBranch("thPrime");
}
// Can add the real and imaginary parts of the B0 and B0bar total
// amplitudes seen in the generation (restrict this with a flag
// that defaults to false)
if ( storeGenAmpInfo_ ) {
this->addGenNtupleDoubleBranch("reB0Amp");
this->addGenNtupleDoubleBranch("imB0Amp");
this->addGenNtupleDoubleBranch("reB0barAmp");
this->addGenNtupleDoubleBranch("imB0barAmp");
}
}
// Let's look at the extra variables for signal in one of the tagging categories
for ( const LauAbsPdf* pdf : sigExtraPdf_ ) {
const std::vector<TString> varNames{ pdf->varNames() };
for ( const TString& varName : varNames ) {
if ( varName != "m13Sq" && varName != "m23Sq" ) {
this->addGenNtupleDoubleBranch( varName );
}
}
}
}
void LauTimeDepFitModel::setDPDtBranchValues()
{
// Store the decay time variables.
this->setGenNtupleDoubleBranchValue(signalDecayTimePdf_->varName(),curEvtDecayTime_);
this->setGenNtupleDoubleBranchValue(signalDecayTimePdf_->varErrName(),curEvtDecayTimeErr_);
// CONVENTION WARNING
// TODO check - for now use B0 for any tags
//LauKinematics* kinematics(0);
//if (curEvtTagFlv_[position]<0) {
LauKinematics* kinematics = kinematicsB0_;
//} else {
// kinematics = kinematicsB0bar_;
//}
// Store all the DP information
this->setGenNtupleDoubleBranchValue("m12", kinematics->getm12());
this->setGenNtupleDoubleBranchValue("m23", kinematics->getm23());
this->setGenNtupleDoubleBranchValue("m13", kinematics->getm13());
this->setGenNtupleDoubleBranchValue("m12Sq", kinematics->getm12Sq());
this->setGenNtupleDoubleBranchValue("m23Sq", kinematics->getm23Sq());
this->setGenNtupleDoubleBranchValue("m13Sq", kinematics->getm13Sq());
this->setGenNtupleDoubleBranchValue("cosHel12", kinematics->getc12());
this->setGenNtupleDoubleBranchValue("cosHel23", kinematics->getc23());
this->setGenNtupleDoubleBranchValue("cosHel13", kinematics->getc13());
if (kinematics->squareDP()) {
this->setGenNtupleDoubleBranchValue("mPrime", kinematics->getmPrime());
this->setGenNtupleDoubleBranchValue("thPrime", kinematics->getThetaPrime());
}
// Can add the real and imaginary parts of the B0 and B0bar total
// amplitudes seen in the generation (restrict this with a flag
// that defaults to false)
if ( storeGenAmpInfo_ ) {
if ( this->getGenNtupleIntegerBranchValue("genSig")==1 ) {
LauComplex Abar = sigModelB0bar_->getEvtDPAmp();
LauComplex A = sigModelB0_->getEvtDPAmp();
this->setGenNtupleDoubleBranchValue("reB0Amp", A.re());
this->setGenNtupleDoubleBranchValue("imB0Amp", A.im());
this->setGenNtupleDoubleBranchValue("reB0barAmp", Abar.re());
this->setGenNtupleDoubleBranchValue("imB0barAmp", Abar.im());
} else {
this->setGenNtupleDoubleBranchValue("reB0Amp", 0.0);
this->setGenNtupleDoubleBranchValue("imB0Amp", 0.0);
this->setGenNtupleDoubleBranchValue("reB0barAmp", 0.0);
this->setGenNtupleDoubleBranchValue("imB0barAmp", 0.0);
}
}
}
void LauTimeDepFitModel::generateExtraPdfValues(LauPdfList& extraPdfs, LauEmbeddedData* embeddedData)
{
// CONVENTION WARNING
LauKinematics* kinematics = kinematicsB0_;
//LauKinematics* kinematics(0);
//if (curEvtTagFlv_<0) {
// kinematics = kinematicsB0_;
//} else {
// kinematics = kinematicsB0bar_;
//}
// Generate from the extra PDFs
for (LauPdfList::iterator pdf_iter = extraPdfs.begin(); pdf_iter != extraPdfs.end(); ++pdf_iter) {
LauFitData genValues;
if (embeddedData) {
genValues = embeddedData->getValues( (*pdf_iter)->varNames() );
} else {
genValues = (*pdf_iter)->generate(kinematics);
}
for ( LauFitData::const_iterator var_iter = genValues.begin(); var_iter != genValues.end(); ++var_iter ) {
TString varName = var_iter->first;
if ( varName != "m13Sq" && varName != "m23Sq" ) {
Double_t value = var_iter->second;
this->setGenNtupleDoubleBranchValue(varName,value);
}
}
}
}
void LauTimeDepFitModel::propagateParUpdates()
{
// Update the complex mixing phase
if (useSinCos_) {
phiMixComplex_.setRealPart(cosPhiMix_.unblindValue());
phiMixComplex_.setImagPart(-1.0*sinPhiMix_.unblindValue());
} else {
phiMixComplex_.setRealPart(TMath::Cos(-1.0*phiMix_.unblindValue()));
phiMixComplex_.setImagPart(TMath::Sin(-1.0*phiMix_.unblindValue()));
}
// Update the total normalisation for the signal likelihood
if (this->useDP() == kTRUE) {
this->updateCoeffs();
sigModelB0bar_->updateCoeffs(coeffsB0bar_);
sigModelB0_->updateCoeffs(coeffsB0_);
this->calcInterTermNorm();
}
// Update the decay time normalisation
if ( signalDecayTimePdf_ ) {
signalDecayTimePdf_->propagateParUpdates();
}
// TODO
// - maybe also need to add an update of the background decay time PDFs here
// Update the signal events from the background numbers if not doing an extended fit
// And update the tagging category fractions
this->updateSigEvents();
}
void LauTimeDepFitModel::updateSigEvents()
{
// The background parameters will have been set from Minuit.
// We need to update the signal events using these.
if (!this->doEMLFit()) {
Double_t nTotEvts = this->eventsPerExpt();
Double_t signalEvents = nTotEvts;
signalEvents_->range(-2.0*nTotEvts,2.0*nTotEvts);
for (LauBkgndYieldList::iterator iter = bkgndEvents_.begin(); iter != bkgndEvents_.end(); ++iter) {
LauAbsRValue* nBkgndEvents = (*iter);
if ( nBkgndEvents->isLValue() ) {
LauParameter* yield = dynamic_cast<LauParameter*>( nBkgndEvents );
yield->range(-2.0*nTotEvts,2.0*nTotEvts);
}
}
// Subtract background events (if any) from signal.
if (usingBkgnd_ == kTRUE) {
for (LauBkgndYieldList::const_iterator iter = bkgndEvents_.begin(); iter != bkgndEvents_.end(); ++iter) {
signalEvents -= (*iter)->value();
}
}
if ( ! signalEvents_->fixed() ) {
signalEvents_->value(signalEvents);
}
}
}
void LauTimeDepFitModel::cacheInputFitVars()
{
// Fill the internal data trees of the signal and background models.
// Note that we store the events of both charges in both the
// negative and the positive models. It's only later, at the stage
// when the likelihood is being calculated, that we separate them.
LauFitDataTree* inputFitData = this->fitData();
evtCPEigenVals_.clear();
const Bool_t hasCPEV = ( (cpevVarName_ != "") && inputFitData->haveBranch( cpevVarName_ ) );
UInt_t nEvents = inputFitData->nEvents();
evtCPEigenVals_.reserve( nEvents );
LauFitData::const_iterator fitdata_iter;
for (UInt_t iEvt = 0; iEvt < nEvents; iEvt++) {
const LauFitData& dataValues = inputFitData->getData(iEvt);
// if the CP-eigenvalue is in the data use those, otherwise use the default
if ( hasCPEV ) {
fitdata_iter = dataValues.find( cpevVarName_ );
const Int_t cpEV = static_cast<Int_t>( fitdata_iter->second );
if ( cpEV == 1 ) {
cpEigenValue_ = CPEven;
} else if ( cpEV == -1 ) {
cpEigenValue_ = CPOdd;
} else if ( cpEV == 0 ) {
cpEigenValue_ = QFS;
} else {
std::cerr<<"WARNING in LauTimeDepFitModel::cacheInputFitVars : Unknown value: "<<cpEV<<" for CP eigenvalue, setting to CP-even"<<std::endl;
cpEigenValue_ = CPEven;
}
}
evtCPEigenVals_.push_back( cpEigenValue_ );
}
// We'll cache the DP amplitudes at the end because we'll
// append some points that the other PDFs won't deal with.
if (this->useDP() == kTRUE) {
// DecayTime and SigmaDecayTime
signalDecayTimePdf_->cacheInfo(*inputFitData);
// cache all the backgrounds too
for(auto& bg : BkgndDecayTimePdfs_)
{bg->cacheInfo(*inputFitData);}
}
// Flavour tagging information
flavTag_->cacheInputFitVars(inputFitData,signalDecayTimePdf_->varName());
// ...and then the extra PDFs
if (not sigExtraPdf_.empty()){
this->cacheInfo(sigExtraPdf_, *inputFitData);
}
if(usingBkgnd_ == kTRUE){
for (LauBkgndPdfsList::iterator iter = BkgndPdfs_.begin(); iter != BkgndPdfs_.end(); ++iter) {
this->cacheInfo((*iter), *inputFitData);
}
}
if (this->useDP() == kTRUE) {
sigModelB0bar_->fillDataTree(*inputFitData);
sigModelB0_->fillDataTree(*inputFitData);
if (usingBkgnd_ == kTRUE) {
for (LauBkgndDPModelList::iterator iter = BkgndDPModelsB_.begin(); iter != BkgndDPModelsB_.end(); ++iter) {
(*iter)->fillDataTree(*inputFitData);
}
for (LauBkgndDPModelList::iterator iter = BkgndDPModelsBbar_.begin(); iter != BkgndDPModelsBbar_.end(); ++iter) {
if ((*iter) != nullptr) {
(*iter)->fillDataTree(*inputFitData);
}
}
}
}
}
Double_t LauTimeDepFitModel::getTotEvtLikelihood(const UInt_t iEvt)
{
// Get the CP eigenvalue of the current event
cpEigenValue_ = evtCPEigenVals_[iEvt];
// Get the DP and DecayTime likelihood for signal (TODO and eventually backgrounds)
this->getEvtDPDtLikelihood(iEvt);
// Get the combined extra PDFs likelihood for signal (TODO and eventually backgrounds)
this->getEvtExtraLikelihoods(iEvt);
// Construct the total likelihood for signal, qqbar and BBbar backgrounds
Double_t sigLike = sigDPLike_ * sigExtraLike_;
Double_t signalEvents = signalEvents_->unblindValue();
// TODO - consider what to do here - do we even want the option not to use the DP in this model?
//if ( not this->useDP() ) {
//signalEvents *= 0.5 * (1.0 + curEvtTagFlv_ * signalAsym_->unblindValue());
//}
// Construct the total event likelihood
Double_t likelihood { sigLike * signalEvents };
if (usingBkgnd_) {
const UInt_t nBkgnds = this->nBkgndClasses();
for ( UInt_t bkgndID(0); bkgndID < nBkgnds; ++bkgndID ) {
// TODO
// for combinatorial background (and perhaps others) this factor 0.5 needs to be here
// to balance the factor 2 in the signal normalisation that arises from the sum over
// tag decisions and integral over eta
// for other (more signal-like) backgrounds where we need to think about things depending
// on the tag decision and where there may be asymmetries as well this will (probably) arise naturally
const Double_t bkgndEvents { 0.5 * bkgndEvents_[bkgndID]->unblindValue() };
likelihood += bkgndEvents*bkgndDPLike_[bkgndID]*bkgndExtraLike_[bkgndID];
}
}
return likelihood;
}
Double_t LauTimeDepFitModel::getEventSum() const
{
Double_t eventSum(0.0);
eventSum += signalEvents_->unblindValue();
if (usingBkgnd_) {
for ( const auto& yieldPar : bkgndEvents_ ) {
eventSum += yieldPar->unblindValue();
}
}
return eventSum;
}
void LauTimeDepFitModel::getEvtDPDtLikelihood(const UInt_t iEvt)
{
// Function to return the signal and background likelihoods for the
// Dalitz plot for the given event evtNo.
if ( ! this->useDP() ) {
// There's always going to be a term in the likelihood for the
// signal, so we'd better not zero it.
sigDPLike_ = 1.0;
const UInt_t nBkgnds = this->nBkgndClasses();
for ( UInt_t bkgndID(0); bkgndID < nBkgnds; ++bkgndID ) {
if (usingBkgnd_ == kTRUE) {
bkgndDPLike_[bkgndID] = 1.0;
} else {
bkgndDPLike_[bkgndID] = 0.0;
}
}
return;
}
// Calculate event quantities
// Get the DP dynamics, decay time, and flavour tagging to calculate
// everything required for the likelihood calculation
sigModelB0bar_->calcLikelihoodInfo(iEvt);
sigModelB0_->calcLikelihoodInfo(iEvt);
signalDecayTimePdf_->calcLikelihoodInfo(iEvt);
flavTag_->updateEventInfo(iEvt);
// Retrieve the amplitudes and efficiency from the dynamics
LauComplex Abar { sigModelB0bar_->getEvtDPAmp() };
LauComplex A { sigModelB0_->getEvtDPAmp() };
const Double_t dpEff { sigModelB0bar_->getEvtEff() };
// If this is a QFS decay, one of the DP amplitudes needs to be zeroed
if (cpEigenValue_ == QFS){
curEvtDecayFlv_ = flavTag_->getCurEvtDecayFlv();
if ( curEvtDecayFlv_ == +1 ) {
Abar.zero();
} else if ( curEvtDecayFlv_ == -1 ) {
A.zero();
}
}
// Next calculate the DP terms
const Double_t aSqSum { A.abs2() + Abar.abs2() };
const Double_t aSqDif { A.abs2() - Abar.abs2() };
Double_t interTermRe { 0.0 };
Double_t interTermIm { 0.0 };
if ( cpEigenValue_ != QFS ) {
const LauComplex inter { Abar * A.conj() * phiMixComplex_ };
if ( cpEigenValue_ == CPEven ) {
interTermIm = 2.0 * inter.im();
interTermRe = 2.0 * inter.re();
} else {
interTermIm = -2.0 * inter.im();
interTermRe = -2.0 * inter.re();
}
}
// First get all the decay time terms
// TODO Backgrounds
// Get the decay time acceptance
const Double_t dtEff { signalDecayTimePdf_->getEffiTerm() };
// Get all the decay time terms
const Double_t dtCos { signalDecayTimePdf_->getCosTerm() };
const Double_t dtSin { signalDecayTimePdf_->getSinTerm() };
const Double_t dtCosh { signalDecayTimePdf_->getCoshTerm() };
const Double_t dtSinh { signalDecayTimePdf_->getSinhTerm() };
// Get the decay time error term
const Double_t dtErrLike { signalDecayTimePdf_->getErrTerm() };
// Get flavour tagging terms
Double_t omega{1.0};
Double_t omegabar{1.0};
const ULong_t nTaggers { flavTag_->getNTaggers() };
for (ULong_t position{0}; position<nTaggers; ++position){
omega *= flavTag_->getCapitalOmega(position, LauFlavTag::Flavour::B);
omegabar *= flavTag_->getCapitalOmega(position, LauFlavTag::Flavour::Bbar);
}
const Double_t prodAsym { AProd_.unblindValue() };
const Double_t ftOmegaHyp { ((1.0 - prodAsym)*omega + (1.0 + prodAsym)*omegabar) };
const Double_t ftOmegaTrig { ((1.0 - prodAsym)*omega - (1.0 + prodAsym)*omegabar) };
const Double_t coshTerm { ftOmegaHyp * dtCosh * aSqSum };
const Double_t sinhTerm { ftOmegaHyp * dtSinh * interTermRe };
const Double_t cosTerm { ftOmegaTrig * dtCos * aSqDif };
const Double_t sinTerm { ftOmegaTrig * dtSin * interTermIm };
// Combine all terms to get the total amplitude squared
const Double_t ASq { coshTerm + sinhTerm + cosTerm - sinTerm };
// Calculate the DP and time normalisation
const Double_t normASqSum { sigModelB0_->getDPNorm() + sigModelB0bar_->getDPNorm() };
const Double_t normASqDiff { sigModelB0_->getDPNorm() - sigModelB0bar_->getDPNorm() };
Double_t normInterTermRe { 0.0 };
Double_t normInterTermIm { 0.0 };
if ( cpEigenValue_ != QFS ) {
// TODO - double check this sign flipping here (it's presumably right but...)
normInterTermRe = ( cpEigenValue_ == CPOdd ) ? -1.0 * interTermReNorm_ : interTermReNorm_;
normInterTermIm = ( cpEigenValue_ == CPOdd ) ? -1.0 * interTermImNorm_ : interTermImNorm_;
}
const Double_t normCoshTerm { signalDecayTimePdf_->getNormTermCosh() };
const Double_t normSinhTerm { signalDecayTimePdf_->getNormTermSinh() };
const Double_t normCosTerm { signalDecayTimePdf_->getNormTermCos() };
const Double_t normSinTerm { signalDecayTimePdf_->getNormTermSin() };
const Double_t normHyp { normASqSum * normCoshTerm + normInterTermRe * normSinhTerm };
const Double_t normTrig { - prodAsym * ( normASqDiff * normCosTerm + normInterTermIm * normSinTerm ) };
// Combine all terms to get the total normalisation
const Double_t norm { 2.0 * ( normHyp + normTrig ) };
// Multiply the squared-amplitude by the efficiency (DP and decay time) and decay-time error likelihood
// and normalise to obtain the signal likelihood
sigDPLike_ = ( ASq * dpEff * dtEff * dtErrLike ) / norm;
// Background part
// TODO add them into the actual Likelihood calculatiions
// TODO sort out B and Bbar backgrounds for the DP here
// TODO need to include the flavour tagging parts here as well (per tagger and per background source) and will vary by Bkgnd type as well
// TODO add new function as getEvtBkgndLikelihoods?
const UInt_t nBkgnds = this->nBkgndClasses();
for ( UInt_t bkgndID(0); bkgndID < nBkgnds; ++bkgndID ) {
if (usingBkgnd_ == kTRUE) {
BkgndDecayTimePdfs_[bkgndID]->calcLikelihoodInfo(iEvt);
// If Bbar DP Model is a nullptr then only consider B DP Model
if (BkgndDPModelsBbar_[bkgndID]==nullptr){
bkgndDPLike_[bkgndID] = BkgndDPModelsB_[bkgndID]->getLikelihood(iEvt);
} else {
bkgndDPLike_[bkgndID] = 0.5*(BkgndDPModelsB_[bkgndID]->getLikelihood(iEvt) + BkgndDPModelsBbar_[bkgndID]->getLikelihood(iEvt));
}
bkgndDPLike_[bkgndID]*= BkgndDecayTimePdfs_[bkgndID]->getHistTerm();
//TODO FT part
} else {
bkgndDPLike_[bkgndID] = 0.0;
}
}
}
void LauTimeDepFitModel::getEvtExtraLikelihoods(const UInt_t iEvt)
{
// Function to return the signal and background likelihoods for the
// extra variables for the given event evtNo.
sigExtraLike_ = 1.0; //There's always a likelihood term for signal, so we better not zero it.
// First, those independent of the tagging of the event:
// signal
if ( not sigExtraPdf_.empty() ) {
sigExtraLike_ = this->prodPdfValue( sigExtraPdf_, iEvt );
}
// Background
const UInt_t nBkgnds = this->nBkgndClasses();
for ( UInt_t bkgndID(0); bkgndID < nBkgnds; ++bkgndID ) {
if (usingBkgnd_) {
bkgndExtraLike_[bkgndID] = this->prodPdfValue( BkgndPdfs_[bkgndID], iEvt );
} else {
bkgndExtraLike_[bkgndID] = 0.0;
}
}
}
//TODO obsolete?
void LauTimeDepFitModel::getEvtFlavTagLikelihood(const UInt_t iEvt)
{
// Function to return the signal and background likelihoods for the
// extra variables for the given event evtNo.
sigFlavTagLike_ = 1.0; //There's always a likelihood term for signal, so we better not zero it.
// Loop over taggers
const ULong_t nTaggers { flavTag_->getNTaggers() };
for (ULong_t position{0}; position<nTaggers; ++position){
if (sigFlavTagPdf_[position]) {
sigFlavTagPdf_[position]->calcLikelihoodInfo(iEvt);
sigFlavTagLike_ = sigFlavTagPdf_[position]->getLikelihood();
}
}
if (sigFlavTagLike_<=0){
std::cout<<"INFO in LauTimeDepFitModel::getEvtFlavTagLikelihood : Event with 0 FlavTag Liklihood"<<std::endl;
}
// TODO Add in the background components too
}
void LauTimeDepFitModel::updateCoeffs()
{
coeffsB0bar_.clear(); coeffsB0_.clear();
coeffsB0bar_.reserve(nSigComp_); coeffsB0_.reserve(nSigComp_);
for (UInt_t i = 0; i < nSigComp_; ++i) {
coeffsB0bar_.push_back(coeffPars_[i]->antiparticleCoeff());
coeffsB0_.push_back(coeffPars_[i]->particleCoeff());
}
}
void LauTimeDepFitModel::checkMixingPhase()
{
Double_t phase = phiMix_.value();
Double_t genPhase = phiMix_.genValue();
// Check now whether the phase lies in the right range (-pi to pi).
Bool_t withinRange(kFALSE);
while (withinRange == kFALSE) {
if (phase > -LauConstants::pi && phase < LauConstants::pi) {
withinRange = kTRUE;
} else {
// Not within the specified range
if (phase > LauConstants::pi) {
phase -= LauConstants::twoPi;
} else if (phase < -LauConstants::pi) {
phase += LauConstants::twoPi;
}
}
}
// A further problem can occur when the generated phase is close to -pi or pi.
// The phase can wrap over to the other end of the scale -
// this leads to artificially large pulls so we wrap it back.
Double_t diff = phase - genPhase;
if (diff > LauConstants::pi) {
phase -= LauConstants::twoPi;
} else if (diff < -LauConstants::pi) {
phase += LauConstants::twoPi;
}
// finally store the new value in the parameter
// and update the pull
phiMix_.value(phase);
phiMix_.updatePull();
}
void LauTimeDepFitModel::embedSignal(const TString& fileName, const TString& treeName,
Bool_t reuseEventsWithinEnsemble, Bool_t reuseEventsWithinExperiment)
{
if (signalTree_) {
std::cerr<<"ERROR in LauTimeDepFitModel::embedSignal : Already embedding signal from file."<<std::endl;
return;
}
if (!reuseEventsWithinEnsemble && reuseEventsWithinExperiment) {
std::cerr<<"WARNING in LauTimeDepFitModel::embedSignal : Conflicting options provided, will not reuse events at all."<<std::endl;
reuseEventsWithinExperiment = kFALSE;
}
signalTree_ = new LauEmbeddedData(fileName,treeName,reuseEventsWithinExperiment);
Bool_t dataOK = signalTree_->findBranches();
if (!dataOK) {
delete signalTree_; signalTree_ = 0;
std::cerr<<"ERROR in LauTimeDepFitModel::embedSignal : Problem creating data tree for embedding."<<std::endl;
return;
}
reuseSignal_ = reuseEventsWithinEnsemble;
}
void LauTimeDepFitModel::embedBkgnd(const TString& bkgndClass, const TString& fileName, const TString& treeName,
Bool_t reuseEventsWithinEnsemble, Bool_t reuseEventsWithinExperiment)
{
if ( ! this->validBkgndClass( bkgndClass ) ) {
std::cerr << "ERROR in LauSimpleFitModel::embedBkgnd : Invalid background class \"" << bkgndClass << "\"." << std::endl;
std::cerr << " : Background class names must be provided in \"setBkgndClassNames\" before any other background-related actions can be performed." << std::endl;
return;
}
UInt_t bkgndID = this->bkgndClassID( bkgndClass );
LauEmbeddedData* bkgTree = bkgndTree_[bkgndID];
if (bkgTree) {
std::cerr << "ERROR in LauSimpleFitModel::embedBkgnd : Already embedding background from a file." << std::endl;
return;
}
bkgTree = new LauEmbeddedData(fileName,treeName,reuseEventsWithinExperiment);
Bool_t dataOK = bkgTree->findBranches();
if (!dataOK) {
delete bkgTree; bkgTree = 0;
std::cerr << "ERROR in LauSimpleFitModel::embedBkgnd : Problem creating data tree for embedding." << std::endl;
return;
}
reuseBkgnd_[bkgndID] = reuseEventsWithinEnsemble;
if (this->enableEmbedding() == kFALSE) {
this->enableEmbedding(kTRUE);
}
}
void LauTimeDepFitModel::setupSPlotNtupleBranches()
{
// add branches for storing the experiment number and the number of
// the event within the current experiment
this->addSPlotNtupleIntegerBranch("iExpt");
this->addSPlotNtupleIntegerBranch("iEvtWithinExpt");
// Store the efficiency of the event (for inclusive BF calculations).
if (this->storeDPEff()) {
this->addSPlotNtupleDoubleBranch("efficiency");
}
// Store the total event likelihood for each species.
this->addSPlotNtupleDoubleBranch("sigTotalLike");
if (usingBkgnd_) {
const UInt_t nBkgnds = this->nBkgndClasses();
for ( UInt_t iBkgnd(0); iBkgnd < nBkgnds; ++iBkgnd ) {
TString name( this->bkgndClassName(iBkgnd) );
name += "TotalLike";
this->addSPlotNtupleDoubleBranch(name);
}
}
// Store the DP likelihoods
if (this->useDP()) {
this->addSPlotNtupleDoubleBranch("sigDPLike");
if (usingBkgnd_) {
const UInt_t nBkgnds = this->nBkgndClasses();
for ( UInt_t iBkgnd(0); iBkgnd < nBkgnds; ++iBkgnd ) {
TString name( this->bkgndClassName(iBkgnd) );
name += "DPLike";
this->addSPlotNtupleDoubleBranch(name);
}
}
}
// Store the likelihoods for each extra PDF
this->addSPlotNtupleBranches(sigExtraPdf_, "sig");
if (usingBkgnd_) {
const UInt_t nBkgnds = this->nBkgndClasses();
for ( UInt_t iBkgnd(0); iBkgnd < nBkgnds; ++iBkgnd ) {
const TString& bkgndClass = this->bkgndClassName(iBkgnd);
this->addSPlotNtupleBranches(BkgndPdfs_[iBkgnd], bkgndClass);
}
}
}
void LauTimeDepFitModel::addSPlotNtupleBranches(const LauPdfList& extraPdfs, const TString& prefix)
{
// Loop through each of the PDFs
for ( const LauAbsPdf* pdf : extraPdfs ) {
// Count the number of input variables that are not
// DP variables (used in the case where there is DP
// dependence for e.g. MVA)
UInt_t nVars{0};
const std::vector<TString> varNames { pdf->varNames() };
for ( const TString& varName : varNames ) {
if ( varName != "m13Sq" && varName != "m23Sq" ) {
++nVars;
}
}
if ( nVars == 1 ) {
// If the PDF only has one variable then
// simply add one branch for that variable
TString name{prefix};
name += pdf->varName();
name += "Like";
this->addSPlotNtupleDoubleBranch(name);
} else if ( nVars == 2 ) {
// If the PDF has two variables then we
// need a branch for them both together and
// branches for each
TString allVars{""};
for ( const TString& varName : varNames ) {
if ( varName != "m13Sq" && varName != "m23Sq" ) {
allVars += varName;
TString name{prefix};
name += varName;
name += "Like";
this->addSPlotNtupleDoubleBranch(name);
}
}
TString name{prefix};
name += allVars;
name += "Like";
this->addSPlotNtupleDoubleBranch(name);
} else {
std::cerr<<"WARNING in LauTimeDepFitModel::addSPlotNtupleBranches : Can't yet deal with 3D PDFs."<<std::endl;
}
}
}
Double_t LauTimeDepFitModel::setSPlotNtupleBranchValues(LauPdfList& extraPdfs, const TString& prefix, const UInt_t iEvt)
{
// Store the PDF value for each variable in the list
Double_t totalLike(1.0);
Double_t extraLike(0.0);
if ( extraPdfs.empty() ) {
return totalLike;
}
for ( LauAbsPdf* pdf : extraPdfs ) {
// calculate the likelihood for this event
pdf->calcLikelihoodInfo(iEvt);
extraLike = pdf->getLikelihood();
totalLike *= extraLike;
// Count the number of input variables that are not
// DP variables (used in the case where there is DP
// dependence for e.g. MVA)
UInt_t nVars{0};
const std::vector<TString> varNames { pdf->varNames() };
for ( const TString& varName : varNames ) {
if ( varName != "m13Sq" && varName != "m23Sq" ) {
++nVars;
}
}
if ( nVars == 1 ) {
// If the PDF only has one variable then
// simply store the value for that variable
TString name{prefix};
name += pdf->varName();
name += "Like";
this->setSPlotNtupleDoubleBranchValue(name, extraLike);
} else if ( nVars == 2 ) {
// If the PDF has two variables then we
// store the value for them both together
// and for each on their own
TString allVars{""};
for ( const TString& varName : varNames ) {
if ( varName != "m13Sq" && varName != "m23Sq" ) {
allVars += varName;
TString name{prefix};
name += varName;
name += "Like";
const Double_t indivLike = pdf->getLikelihood( varName );
this->setSPlotNtupleDoubleBranchValue(name, indivLike);
}
}
TString name{prefix};
name += allVars;
name += "Like";
this->setSPlotNtupleDoubleBranchValue(name, extraLike);
} else {
std::cerr<<"WARNING in LauAllFitModel::setSPlotNtupleBranchValues : Can't yet deal with 3D PDFs."<<std::endl;
}
}
return totalLike;
}
LauSPlot::NameSet LauTimeDepFitModel::variableNames() const
{
LauSPlot::NameSet nameSet;
if (this->useDP()) {
nameSet.insert("DP");
}
for ( const LauAbsPdf* pdf : sigExtraPdf_ ) {
// Loop over the variables involved in each PDF
const std::vector<TString> varNames { pdf->varNames() };
for ( const TString& varName : varNames ) {
// If they are not DP coordinates then add them
if ( varName != "m13Sq" && varName != "m23Sq" ) {
nameSet.insert( varName );
}
}
}
return nameSet;
}
LauSPlot::NumbMap LauTimeDepFitModel::freeSpeciesNames() const
{
LauSPlot::NumbMap numbMap;
if (!signalEvents_->fixed() && this->doEMLFit()) {
numbMap["sig"] = signalEvents_->genValue();
}
if ( usingBkgnd_ ) {
const UInt_t nBkgnds = this->nBkgndClasses();
for ( UInt_t iBkgnd(0); iBkgnd < nBkgnds; ++iBkgnd ) {
const TString& bkgndClass = this->bkgndClassName(iBkgnd);
const LauAbsRValue* par = bkgndEvents_[iBkgnd];
if (!par->fixed()) {
numbMap[bkgndClass] = par->genValue();
if ( ! par->isLValue() ) {
std::cerr << "WARNING in LauTimeDepFitModel::freeSpeciesNames : \"" << par->name() << "\" is a LauFormulaPar, which implies it is perhaps not entirely free to float in the fit, so the sWeight calculation may not be reliable" << std::endl;
}
}
}
}
return numbMap;
}
LauSPlot::NumbMap LauTimeDepFitModel::fixdSpeciesNames() const
{
LauSPlot::NumbMap numbMap;
if (signalEvents_->fixed() && this->doEMLFit()) {
numbMap["sig"] = signalEvents_->genValue();
}
if ( usingBkgnd_ ) {
const UInt_t nBkgnds = this->nBkgndClasses();
for ( UInt_t iBkgnd(0); iBkgnd < nBkgnds; ++iBkgnd ) {
const TString& bkgndClass = this->bkgndClassName(iBkgnd);
const LauAbsRValue* par = bkgndEvents_[iBkgnd];
if (par->fixed()) {
numbMap[bkgndClass] = par->genValue();
}
}
}
return numbMap;
}
LauSPlot::TwoDMap LauTimeDepFitModel::twodimPDFs() const
{
LauSPlot::TwoDMap twodimMap;
for ( const LauAbsPdf* pdf : sigExtraPdf_ ) {
// Count the number of input variables that are not DP variables
UInt_t nVars{0};
const std::vector<TString> varNames { pdf->varNames() };
for ( const TString& varName : varNames ) {
if ( varName != "m13Sq" && varName != "m23Sq" ) {
++nVars;
}
}
if ( nVars == 2 ) {
twodimMap.insert( std::make_pair( "sig", std::make_pair( varNames[0], varNames[1] ) ) );
}
}
if (usingBkgnd_) {
const UInt_t nBkgnds = this->nBkgndClasses();
for ( UInt_t iBkgnd(0); iBkgnd < nBkgnds; ++iBkgnd ) {
const TString& bkgndClass = this->bkgndClassName(iBkgnd);
for ( const LauAbsPdf* pdf : BkgndPdfs_[iBkgnd] ) {
// Count the number of input variables that are not DP variables
UInt_t nVars{0};
const std::vector<TString> varNames { pdf->varNames() };
for ( const TString& varName : varNames ) {
if ( varName != "m13Sq" && varName != "m23Sq" ) {
++nVars;
}
}
if ( nVars == 2 ) {
twodimMap.insert( std::make_pair( bkgndClass, std::make_pair( varNames[0], varNames[1] ) ) );
}
}
}
}
return twodimMap;
}
void LauTimeDepFitModel::storePerEvtLlhds()
{
std::cout<<"INFO in LauTimeDepFitModel::storePerEvtLlhds : Storing per-event likelihood values..."<<std::endl;
LauFitDataTree* inputFitData = this->fitData();
// if we've not been using the DP model then we need to cache all
// the info here so that we can get the efficiency from it
if (!this->useDP() && this->storeDPEff()) {
sigModelB0bar_->initialise(coeffsB0bar_);
sigModelB0_->initialise(coeffsB0_);
sigModelB0bar_->fillDataTree(*inputFitData);
sigModelB0_->fillDataTree(*inputFitData);
}
UInt_t evtsPerExpt(this->eventsPerExpt());
LauIsobarDynamics* sigModel(sigModelB0bar_);
for (UInt_t iEvt = 0; iEvt < evtsPerExpt; ++iEvt) {
// Find out whether we have B0bar or B0
flavTag_->updateEventInfo(iEvt);
curEvtTagFlv_ = flavTag_->getCurEvtTagFlv();
curEvtMistag_ = flavTag_->getCurEvtMistag();
// the DP information
this->getEvtDPDtLikelihood(iEvt);
if (this->storeDPEff()) {
if (!this->useDP()) {
sigModel->calcLikelihoodInfo(iEvt);
}
this->setSPlotNtupleDoubleBranchValue("efficiency",sigModel->getEvtEff());
}
if (this->useDP()) {
sigTotalLike_ = sigDPLike_;
this->setSPlotNtupleDoubleBranchValue("sigDPLike",sigDPLike_);
if (usingBkgnd_) {
const UInt_t nBkgnds = this->nBkgndClasses();
for ( UInt_t iBkgnd(0); iBkgnd < nBkgnds; ++iBkgnd ) {
TString name = this->bkgndClassName(iBkgnd);
name += "DPLike";
this->setSPlotNtupleDoubleBranchValue(name,bkgndDPLike_[iBkgnd]);
}
}
} else {
sigTotalLike_ = 1.0;
}
// the signal PDF values
sigTotalLike_ *= this->setSPlotNtupleBranchValues(sigExtraPdf_, "sig", iEvt);
// the background PDF values
if (usingBkgnd_) {
const UInt_t nBkgnds = this->nBkgndClasses();
for ( UInt_t iBkgnd(0); iBkgnd < nBkgnds; ++iBkgnd ) {
const TString& bkgndClass = this->bkgndClassName(iBkgnd);
LauPdfList& pdfs = BkgndPdfs_[iBkgnd];
bkgndTotalLike_[iBkgnd] *= this->setSPlotNtupleBranchValues(pdfs, bkgndClass, iEvt);
}
}
// the total likelihoods
this->setSPlotNtupleDoubleBranchValue("sigTotalLike",sigTotalLike_);
if (usingBkgnd_) {
const UInt_t nBkgnds = this->nBkgndClasses();
for ( UInt_t iBkgnd(0); iBkgnd < nBkgnds; ++iBkgnd ) {
TString name = this->bkgndClassName(iBkgnd);
name += "TotalLike";
this->setSPlotNtupleDoubleBranchValue(name,bkgndTotalLike_[iBkgnd]);
}
}
// fill the tree
this->fillSPlotNtupleBranches();
}
std::cout<<"INFO in LauTimeDepFitModel::storePerEvtLlhds : Finished storing per-event likelihood values."<<std::endl;
}
void LauTimeDepFitModel::weightEvents( const TString& /*dataFileName*/, const TString& /*dataTreeName*/ )
{
std::cerr << "ERROR in LauTimeDepFitModel::weightEvents : Method not available for this fit model." << std::endl;
return;
}
void LauTimeDepFitModel::savePDFPlots(const TString& /*label*/)
{
}
void LauTimeDepFitModel::savePDFPlotsWave(const TString& /*label*/, const Int_t& /*spin*/)
{
}
//TODO obsolete?
void LauTimeDepFitModel::setBkgdFlavTagPdfs(const TString name, LauAbsPdf* pdf)
{
// TODO - when backgrounds are added - implement a check that "name" really is the name of a background category
if (pdf==0) {
std::cerr<<"ERROR in LauTimeDepFitModel::setBkgdFlavTagPdfs : The PDF pointer is null."<<std::endl;
return;
}
bkgdFlavTagPdf_[name] = pdf;
}