MissingMassCalculator.h

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/*
  Copyright (C) 2002-2024 CERN for the benefit of the ATLAS collaboration
*/
 
/*
------ MissingMassCalculator
------ Author: Aliaksandr Pranko (appranko@lbl.gov)
------ Code developers: David Rousseau (rousseau@lal.in2p3.fr), Dimitris Varouchas (Dimitris.Varouchas@cern.ch)
MissingMassCalculator is designed to reconstruct mass in
events where two particles decay into states with missing ET.
*/
#ifndef MissingMassCalculator_h
#define MissingMassCalculator_h
 
 
 
#if !defined (__CINT__) || defined (__MAKECINT__)
 
#include <TRandom2.h>
#include <TH1.h>
#include <TGraph.h>
#include <TF1.h>
#include <TMath.h>
#include <Math/Vector4D.h>
#include <Math/Vector2D.h>
#include <vector>
#include <TObject.h>
#include <TDirectory.h>
 
#include <memory>
#include <string>
 
#include "DiTauMassTools/MissingMassInput.h"
#include "DiTauMassTools/MissingMassOutput.h"
#include "DiTauMassTools/MissingMassProb.h"
#include "DiTauMassTools/HelperFunctions.h"
 
#include "xAODMissingET/MissingET.h"
 
#endif
 
 
namespace DiTauMassTools{
  using ROOT::Math::PtEtaPhiMVector;
 
class MissingMassCalculator {
 
 public:
 
 private:
 
  //---------------- structures
  struct DitauStuff {
    double Mditau_best{}; // best fitted M(ditau)
    double Sign_best{};   // best significance of M(ditau) fit
    PtEtaPhiMVector nutau1;  // fitted 4-vec for neutrino from tau-1
    PtEtaPhiMVector nutau2;  // fitted 4-vec for neutrino from tau-2
    PtEtaPhiMVector vistau1;  // fitted 4-vec for visible tau-1
    PtEtaPhiMVector vistau2;  // fitted 4-vec for visible tau-2
    double RMSoverMPV{};
  };
 
  TRandom2 m_randomGen;
  
  MMCCalibrationSet::e m_mmcCalibrationSet{};
 
  bool m_fUseEfficiencyRecovery{}; // switch to turn ON/OFF re-fit in order to recover efficiency
  bool m_fUseFloatStopping{}; // switch to turn ON/OFF floating stopping criterion
 
  int m_nsolmax,m_nsolfinalmax{};
  int m_niterRandomLocal{};
  int m_nsucStop{};
  int m_rmsStop{};
  double m_meanbinStop{};
  
  // these are temporary vectors. Declared globally to avoid construction/destruction
  std::vector<PtEtaPhiMVector> m_nuvecsol1;
  std::vector<PtEtaPhiMVector> m_nuvecsol2;
 
  std::vector<PtEtaPhiMVector> m_tauvecsol1;
  std::vector<PtEtaPhiMVector> m_tauvecsol2;
  std::vector<double> m_tauvecprob1;
  std::vector<double> m_tauvecprob2;
 
  std::vector<PtEtaPhiMVector> m_nuvec1_tmp;
  std::vector<PtEtaPhiMVector> m_nuvec2_tmp;
 
  PtEtaPhiMVector m_tautau_tmp;
 
  bool m_debugThisIteration, m_lfvLeplepRefit, m_SaveLlhHisto;
  
  int m_nCallprobCalculatorV9fast;
  
  double m_nsigma_METscan{},m_nsigma_METscan2{},m_nsigma_METscan_ll{};
  double m_nsigma_METscan_lh{},m_nsigma_METscan_hh{},m_nsigma_METscan_lfv_ll{};
  double m_nsigma_METscan_lfv_lh{}, m_beamEnergy{}; // number of sigmas for MET-scan
 
  int m_iter1{},m_iter2{},m_iter3{},m_iter4{},m_iter5{},m_iang1low{},m_iang1high{},m_iang2low{},m_iang2high{};
  int m_iterTheta3d{};
  
  double m_prob_tmp{};
  
  double m_totalProbSum{};
  double m_mtautauSum{};
 
  int m_eventNumber{};
  int m_seed{};
  // data member for the spaceWalker approach
 
  int m_iter0{};
  int m_iterNuPV3{};
  int m_testptn1{};
  int m_testptn2{};
  int m_testdiscri1{};
  int m_testdiscri2{};
  int m_nosol1{};
  int m_nosol2{};
  int m_iterNsuc{};
  bool m_switch1{};
  bool m_switch2{};
 
  bool m_meanbinToBeEvaluated{};
  
  int m_markovCountDuplicate{};
  int m_markovNFullScan{};
  int m_markovNRejectNoSol{};
  int m_markovNRejectMetropolis{};
  int m_markovNAccept{};
 
  double m_PrintmMaxError{};
  double m_PrintmMeanError{};
  double m_PrintmInvWidth2Error{};
 
  double m_proposalTryMEt{};
  double m_ProposalTryPhi{};
  double m_ProposalTryMnu{};
  double m_ProposalTryEtau{};
 
 
  double m_mTau{},m_mTau2{};
  double m_MEtL{},m_MEtP{},m_Phi1{},m_Phi2{},m_Mnu1{},m_Mnu2{};
  double m_eTau1{}, m_eTau2{};
  double m_eTau10{}, m_eTau20{};
  double m_MEtL0{},m_MEtP0{},m_Phi10{},m_Phi20{},m_Mnu10{},m_Mnu20{};
  double m_MEtLMin{},m_MEtPMin{},m_Phi1Min{},m_Phi2Min{},m_Mnu1Min{},m_Mnu2Min{};
  double m_MEtLMax{},m_MEtPMax{},m_Phi1Max{},m_Phi2Max{},m_Mnu1Max{},m_Mnu2Max{};
  double m_MEtLStep{},m_MEtPStep{},m_Phi1Step{},m_Phi2Step{},m_Mnu1Step{},m_Mnu2Step{};
  double m_MEtLRange{},m_MEtPRange{},m_Phi1Range{},m_Phi2Range{},m_Mnu1Range{},m_Mnu2Range{};
  double m_MEtProposal{},m_PhiProposal{},m_MnuProposal{};
  double m_metCovPhiCos{},m_metCovPhiSin{};
  double m_eTau1Proposal{},m_eTau2Proposal{};
 
  double m_eTau1Min{},m_eTau1Max{},m_eTau1Range{};
  double m_eTau2Min{},m_eTau2Max{},m_eTau2Range{};
  bool m_fullParamSpaceScan{};
  bool m_Mnu1Exclude{};
  int m_nsolOld{};
  std::vector<double>   m_probFinalSolOldVec;
  std::vector<double>   m_mtautauFinalSolOldVec;
  std::vector<PtEtaPhiMVector>  m_nu1FinalSolOldVec;
  std::vector<PtEtaPhiMVector>  m_nu2FinalSolOldVec;
 
  int m_nsol{};
  std::vector<double>   m_probFinalSolVec;
  std::vector<double>   m_mtautauFinalSolVec;
  std::vector<PtEtaPhiMVector>  m_nu1FinalSolVec;
  std::vector<PtEtaPhiMVector>  m_nu2FinalSolVec;
 
 
  double m_Mnu1ExcludeMin{},m_Mnu1ExcludeMax{},m_Mnu1ExcludeRange{};
  double m_Mnu1XMin{},m_Mnu1XMax{}, m_Mnu1XRange{};
  double m_walkWeight{};
  double m_cosPhi1{}, m_cosPhi2{}, m_sinPhi1{}, m_sinPhi2{};
  
  bool m_scanMnu1{},m_scanMnu2{};
 
  PtEtaPhiMVector m_tauVec1,m_tauVec2;
  double m_tauVec1Phi{}, m_tauVec2Phi{};
  double m_tauVec1M{}, m_tauVec2M{};
  double m_tauVec1Px{}, m_tauVec1Py{}, m_tauVec1Pz{};
  double m_tauVec2Px{}, m_tauVec2Py{}, m_tauVec2Pz{};
  double m_tauVec1P{}, m_tauVec2P{};
  double m_tauVec1E{};
  double m_tauVec2E{};
  double m_m2Nu1{};
  double m_m2Nu2{};
  double m_ET2v1{};
  double m_ET2v2{};
  double m_E2v1{};
  double m_E2v2{};
  double m_Ev2{};
  double m_Ev1{};
  double m_Mvis{},m_Meff{};
  bool m_reRunWithBestMET{};
  
  //--- define histograms for histogram method
  //--- upper limits need to be revisied in the future!!! It may be not enough for some analyses
  std::shared_ptr<TH1F> m_fMfit_all;
  std::shared_ptr<TH1F> m_fMEtP_all;
  std::shared_ptr<TH1F> m_fMEtL_all;
  std::shared_ptr<TH1F> m_fMnu1_all;
  std::shared_ptr<TH1F> m_fMnu2_all;
  std::shared_ptr<TH1F> m_fPhi1_all;
  std::shared_ptr<TH1F> m_fPhi2_all;
  std::shared_ptr<TGraph> m_fMfit_allGraph;
  std::shared_ptr<TH1F> m_fMfit_allNoWeight;
  
  std::shared_ptr<TH1F> m_fPXfit1;
  std::shared_ptr<TH1F> m_fPYfit1;
  std::shared_ptr<TH1F> m_fPZfit1;
  std::shared_ptr<TH1F> m_fPXfit2;
  std::shared_ptr<TH1F> m_fPYfit2;
  std::shared_ptr<TH1F> m_fPZfit2;
 
  // these histograms are used for the floating stopping criterion
  std::shared_ptr<TH1F> m_fMmass_split1;
  std::shared_ptr<TH1F> m_fMEtP_split1;
  std::shared_ptr<TH1F> m_fMEtL_split1;
  std::shared_ptr<TH1F> m_fMnu1_split1;
  std::shared_ptr<TH1F> m_fMnu2_split1;
  std::shared_ptr<TH1F> m_fPhi1_split1;
  std::shared_ptr<TH1F> m_fPhi2_split1;
  std::shared_ptr<TH1F> m_fMmass_split2;
  std::shared_ptr<TH1F> m_fMEtP_split2;
  std::shared_ptr<TH1F> m_fMEtL_split2;
  std::shared_ptr<TH1F> m_fMnu1_split2;
  std::shared_ptr<TH1F> m_fMnu2_split2;
  std::shared_ptr<TH1F> m_fPhi1_split2;
  std::shared_ptr<TH1F> m_fPhi2_split2;
 
  TF1 *m_fFitting{};
 
  TH1F* m_fPhi1{};
  TH1F* m_fPhi2{};
  TH1F* m_fMnu1{};
  TH1F* m_fMnu2{};
  TH1F* m_fMetx{};
  TH1F* m_fMety{};
  TH1F* m_fTheta3D{};
  TH1F* m_fTauProb{};
 
  // for intermediate calc
  PtEtaPhiMVector m_TLVdummy;
 
  //---------------- protected variables
  DitauStuff m_fDitauStuffFit; // results based on fit method
  DitauStuff m_fDitauStuffHisto; // results based on histo method
 
  int m_niter_fit1{}; // number of iterations for dR-dPhi scan 
  int m_niter_fit2{}; // number of iterations for MET-scan 
  int m_niter_fit3{}; // number of iterations for Mnu-scan 
  int m_NiterRandom{}; // number of random iterations (for lh, multiply or divide by 10 for ll and hh)
  int m_NsucStop{};
  int m_RMSStop{};
  int m_RndmSeedAltering{}; // reset seed (not necessary by default)
 
  double m_dTheta3d_binMin{}; // minimal step size for dTheta3D
  double m_dTheta3d_binMax{}; // maximum step size for dTheta3D
  double m_dRmax_tau{}; // maximum dR(nu-visTau)
 
  double m_MnuScanRange{}; // range of M(nunu) scan; M(nunu) range can be affected by selection cuts
  
 
  //---------------- protected functions
  void ClearDitauStuff(DitauStuff &fStuff);
  void DoOutputInfo();
  void PrintOtherInput();
  void PrintResults();
 
  inline int NuPsolutionV3(const double & mNu1, const double & mNu2, const double & phi1, const double & phi2, 
               int & nsol1, int & nsol2);
 
  inline int NuPsolutionLFV(const XYVector & met_vec, const PtEtaPhiMVector & tau, 
                const double & m_nu, std::vector<PtEtaPhiMVector> &nu_vec);
 
  
 protected:
  inline int CheckSolutions(PtEtaPhiMVector nu_vec, PtEtaPhiMVector vis_vec, int decayType);
  inline int TailCleanUp(const PtEtaPhiMVector & vis1, const PtEtaPhiMVector & nu1, 
             const PtEtaPhiMVector & vis2, const PtEtaPhiMVector & nu2, 
             const double & mmc_mass, const double & vis_mass, const double & eff_mass, const double & dphiTT);
 
 
  inline int refineSolutions (          const double & M_nu1, const double & M_nu2,
                        const int nsol1, const int nsol2,
                  const double & Mvis, const double & Meff);
 
  
  
  inline void handleSolutions();
 
  inline double MassScale(int method, double mass, const int & tau_type1, const int & tau_type2);
 
  
  // factor out parameter space walking and probablity computing
  inline  int DitauMassCalculatorV9walk();
  
 
  // Calculates mass of lep+tau system in LFV X->lep+tau decays
  // It is based on DitauMassCalculatorV9, not optimized for speed yet, simple phase-space scan   
  inline int DitauMassCalculatorV9lfv(bool refit);
 
 
  
  // only compute probability
  inline int probCalculatorV9fast(
                  const double & phi1, const double & phi2, 
                  const double & M_nu1, const double & M_nu2);
  
  // initialize the walker
  inline  void SpaceWalkerInit();
  
  //walk the walker
  inline bool SpaceWalkerWalk();
 
  inline bool precomputeCache();
  
 
  inline bool checkMEtInRange  () ;
  inline bool checkAllParamInRange  () ;
 
  //----------------------------------------------
  //
  // ------------   Public methods ---------------
  //
  //______________________________________________
 
public:
 
  ~MissingMassCalculator() ;
 
  MissingMassCalculator(MMCCalibrationSet::e aset, std::string m_paramFilePath) ;
 
  MissingMassCalculator(const MissingMassCalculator&) = delete;
  MissingMassCalculator& operator= (const MissingMassCalculator&) = delete;
 
  MissingMassInput preparedInput;
  MissingMassOutput OutputInfo;
  MissingMassProb* Prob;
 
  int RunMissingMassCalculator( const xAOD::IParticle* part1, const xAOD::IParticle* part2, const xAOD::MissingET* met, const int& njets );
 
  //-------- Set Input Parameters
  void FinalizeSettings(const xAOD::IParticle* part1, const xAOD::IParticle* part2, const xAOD::MissingET* met, const int& njets );
  void SetNiterFit1(const int val) { m_niter_fit1=val; } // number of iterations per loop in dPhi loop
  void SetNiterFit2(const int val) { m_niter_fit2=val; } // number of iterations per loop in MET loop
  void SetNiterFit3(const int val) { m_niter_fit3=val; } // number of iterations per loop in Mnu loop
  void SetNiterRandom(const int val) { m_NiterRandom=val; } // number of random iterations
  void SetNsucStop(const int val) { m_NsucStop=val; } // Arrest criteria for Nsuccesses
  void SetRMSStop(const int val) { m_RMSStop=val;}
  void SetMeanbinStop(const double val) {m_meanbinStop=val;}
  void SetRndmSeedAltering(const int val) { m_RndmSeedAltering=val; } // number of iterations per loop in Mnu loop
  void SetdTheta3d_binMax(const double val) { m_dTheta3d_binMax=val; } // maximum step size for dTheta3D
  void SetdTheta3d_binMin(const double val) { m_dTheta3d_binMin=val; } // minimal step size for dTheta3D
  void SetEventNumber(const int eventNumber) { m_eventNumber = eventNumber; }
 
  void SetMnuScanRange(const double val) { m_MnuScanRange=val; }
 
  void SetProposalTryMEt(const double val) {m_proposalTryMEt=val; }
  void SetProposalTryPhi(const double val) {m_ProposalTryPhi=val;}
  void SetProposalTryMnu(const double val) {m_ProposalTryMnu=val;}
  void SetProposalTryEtau(const double val) {m_ProposalTryEtau=val;}
 
  void SetUseEfficiencyRecovery(const  bool val) { m_fUseEfficiencyRecovery=val; }
  bool GetUseEfficiencyRecovery() const { return m_fUseEfficiencyRecovery; }
 
  int GetNiterFit1() const { return m_niter_fit1; } // number of iterations per loop in dPhi loop
  int GetNiterFit2() const { return m_niter_fit2; } // number of iterations per loop in MET loop
  int GetNiterFit3() const { return m_niter_fit3; } // number of iterations per loop in Mnu loop
  int GetNiterRandom() const { return m_niterRandomLocal; } // number of random iterations
 
  int GetNsucStop() const { return m_NsucStop; } // Arrest criteria for NSuc
  int GetRMSStop() const { return m_RMSStop; }
  double GetMeanbinStop() const { return m_meanbinStop;}
  int GetRndmSeedAltering() const { return m_RndmSeedAltering; } // number of iterations per loop in Mnu loop
 
  int GetMarkovCountDuplicate() const { return m_markovCountDuplicate; }
  int GetMarkovNRejectNoSol() const { return m_markovNRejectNoSol;}
  int GetMarkovNRejectMetropolis() const {return m_markovNRejectMetropolis;}
  int GetMarkovNAccept() const { return m_markovNAccept; }
  int GetMarkovNFullscan() const { return m_markovNFullScan;}
  double GetProposalTryMEt() const {return m_proposalTryMEt;}
  double GetProposalTryPhi() const {return m_ProposalTryPhi;}
  double GetProposalTryMnu() const {return m_ProposalTryMnu;}
  double GetProposalTryEtau() const {return m_ProposalTryEtau;}
 
  void SetNsigmaMETscan_ll(const double val) { m_nsigma_METscan_ll=val; } // number of sigma's for MET-scan in ll events
  void SetNsigmaMETscan_lh(const double val) { m_nsigma_METscan_lh=val; } // number of sigma's for MET-scan in lh events
  void SetNsigmaMETscan_hh(const double val) { m_nsigma_METscan_hh=val; } // number of sigma's for MET-scan in hh events
  void SetNsigmaMETscan(const double val) { m_nsigma_METscan=val; } // number of sigma's for MET-scan
 
  void SetUseFloatStopping(const bool val); // switch for floating stopping criterion
  void SetBeamEnergy(const double val) { m_beamEnergy=val; }
  void SetLFVLeplepRefit(const bool val) { m_lfvLeplepRefit=val; }
  void SaveLlhHisto(const bool val);
 
  double GetmMaxError() const {return m_PrintmMaxError;}
  double GetmMeanError() const { return m_PrintmMeanError;}
  double GetmInvWidth2Error() const {return m_PrintmInvWidth2Error;}
 
  int GetNNoSol() const {return m_markovNRejectNoSol;}
  int GetNMetroReject() const {return m_markovNRejectMetropolis;}
  int GetNSol() const {return m_markovNAccept;}
 
 
  //-------- Get results;
  Double_t maxFitting(Double_t *x, Double_t *par);
  
  // compute maximum from histo
  double maxFromHist(TH1F *theHist, std::vector<double> & histInfo, const MaxHistStrategy::e maxHistStrategy=MaxHistStrategy::FIT,const int winHalfWidth=2,bool debug=false);
  double maxFromHist(const std::shared_ptr<TH1F>& theHist, std::vector<double> & histInfo, const MaxHistStrategy::e maxHistStrategy=MaxHistStrategy::FIT,const int winHalfWidth=2,bool debug=false) {
    return maxFromHist(theHist.get(), histInfo, maxHistStrategy, winHalfWidth, debug);
  }
 
  XYVector metvec_tmp;
  inline double dTheta3DLimit(const int & tau_type, const int & limit_code,const double & P_tau);
 
};
} // namespace DiTauMassTools
 
#endif