AliCaloPhotonCuts.h

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#ifndef ALICALOPHOTONCUTS_H
#define ALICALOPHOTONCUTS_H

#include "AliConversionPhotonBase.h"
#include "AliAODConversionMother.h"
#include "AliAODTrack.h"
#include "AliESDtrack.h"
#include "AliVTrack.h"
#include "AliVCluster.h"
#include "AliVCaloCells.h"
#include "AliAODTrack.h"
#include "AliStack.h"
#include "AliAnalysisCuts.h"
#include "TProfile2D.h"
#include "TH1F.h"
#include "TF1.h"
#include "AliAnalysisUtils.h"
#include "AliAnalysisManager.h"
#include "AliEMCALGeometry.h"
#include "AliPHOSGeometry.h"
#include "AliEMCALRecoUtils.h"
#include "AliAODCaloCluster.h"
#include "AliCalorimeterUtils.h"
#include "AliCaloTrackMatcher.h"
#include <vector>


class AliESDEvent;
class AliAODEvent;
class AliConversionPhotonBase;
class TH1F;
class TH2F;
class TF1;
class AliPIDResponse;
class AliAnalysisCuts;
class iostream;
class TList;
class AliAnalysisManager;
class AliAODMCParticle;


class AliCaloPhotonCuts : public AliAnalysisCuts {
    
  public: 
    enum cutIds {
      kClusterType,
      kEtaMin,
      kEtaMax,
      kPhiMin,
      kPhiMax,
      kNonLinearity1,
      kNonLinearity2,
      kDistanceToBadChannel,
      kTiming,
      kTrackMatching,
      kExoticCluster,
      kMinEnergy,
      kNMinCells,
      kMinM02,
      kMaxM02,
      kMinM20,
      kMaxM20,
      kDispersion,
      kNLM,
      kNCuts
    };

    enum photonCuts {
      kPhotonIn=0,
      kDetector,
      kAcceptance,
      kClusterQuality,
      kPhotonOut
    };

    enum MCSet {
      // MC data sets
      kNoMC=0,
      k14e2a,
      k14e2b,
      k14e2c,
      k12f1a,
      k12f1b,
      k12i3,
      k15g1a,
      k15g1b,
      k15g2,
      k15a3a,
      k15a3a_plus,
      k15a3b,
      k13b2_efix,
      k13e7,
      k15h1,
      k15h2,
      k14j4,
      k16c2,
      k16c2_plus,
      k16c3a,
      k16c3b,
      k16c3c,
      k16h3,
      k16h3b,
      k16h8a,
      k16h8b,
      k16k3a,
      k16k3b,
      k16k5a,
      k16k5b,
      k17a2a,
      k17a2b,
      k17a3a,
      k17a3b,
      k17a4a,
      k17a4b,
      k17e2,
      k17f2a,
      k17f2b,
      k17f3a,
      k17f3b,
      k17f4a,
      k17f4b,
      // Data starts here
      k10pp7TeV,
      k10pp900GeV,
      k10PbPb2760GeV,
      k11pp2760GeV,
      k11pp7TeV,
      k11PbPb2760GeV,
      k12pp8TeV,
      k13pPb5023GeV,
      k13pp2760GeV,
      k15pp13TeV,
      k15pp5TeV,
      k15PbPb5TeV,
      k16pp13TeV,
      k16pPb5023GeV,
      k16pPb8TeV,
      k17pp13TeV
    };

    
    //handeling of CutString
    static const char * fgkCutNames[kNCuts];
    Bool_t      SetCutIds(TString cutString);  
    Int_t       fCuts[kNCuts];
    Bool_t      SetCut(cutIds cutID, Int_t cut);
    Bool_t      UpdateCutString();
    void        PrintCuts();
    void        PrintCutsWithValues();
    
    Bool_t      InitializeCutsFromCutString(const TString analysisCutSelection);
    TString     GetCutNumber();
    Int_t       GetClusterType() {return fClusterType;}
    Int_t       GetMinNLMCut() {return fMinNLM;}
    Int_t       GetMaxNLMCut() {return fMaxNLM;}
    Bool_t      IsNLMCutUsed() {return fUseNLM;}
    
    //Constructors
    AliCaloPhotonCuts(Int_t isJetJet=0, const char *name="ClusterCuts", const char * title="Cluster Cuts");
    AliCaloPhotonCuts(const AliCaloPhotonCuts&);
    AliCaloPhotonCuts& operator=(const AliCaloPhotonCuts&);

    //virtual destructor
    virtual     ~AliCaloPhotonCuts();                          

    virtual Bool_t  IsSelected(TObject* /*obj*/)               {return kTRUE;}
    virtual Bool_t  IsSelected(TList* /*list*/)                {return kTRUE;}

    Bool_t      ClusterIsSelected(AliVCluster* cluster, AliVEvent *event, AliVEvent *mcEvent,Int_t isMC, Double_t weight=1., Long_t clusterID = -1);
    Bool_t      ClusterIsSelectedBeforeTrackMatch(){return fIsCurrentClusterAcceptedBeforeTM;}
    Bool_t      ClusterIsSelectedMC(TParticle *particle,AliStack *fMCStack);
    Bool_t      ClusterIsSelectedElecMC(TParticle *particle,AliStack *fMCStack);
    Bool_t      ClusterIsSelectedElecAODMC(AliAODMCParticle *particle,TClonesArray *aodmcArray);
    Bool_t      ClusterIsSelectedAODMC(AliAODMCParticle *particle,TClonesArray *aodmcArray);
      
    void        SetLightOutput( Bool_t flag )                  {fDoLightOutput = flag; return;}
    //correct NonLinearity
    void        SetV0ReaderName(TString name)                  {fV0ReaderName = name; return;}
    void        SetCaloTrackMatcherName(TString name)          {fCaloTrackMatcherName = name; return;}
    MCSet       FindEnumForMCSet(TString namePeriod);

    void        ApplyNonLinearity(AliVCluster* cluster, Int_t isMC);

    Float_t     FunctionNL_kPi0MC(Float_t e, Float_t p0, Float_t p1, Float_t p2, Float_t p3, Float_t p4, Float_t p5, Float_t p6);
    Float_t     FunctionNL_PHOS(Float_t e, Float_t p0, Float_t p1, Float_t p2);
    Float_t     FunctionNL_PHOSRun2(Float_t e, Float_t p0 = 0.08, Float_t p1 = 0.055, Float_t p2 = 0.03, Float_t p3 = 6.65e-02);
    Float_t     FunctionNL_kSDM(Float_t e, Float_t p0, Float_t p1, Float_t p2);
    Float_t     FunctionNL_DPOW(Float_t e, Float_t p0, Float_t p1, Float_t p2, Float_t p3, Float_t p4, Float_t p5);
    Float_t     FunctionNL_DExp(Float_t e, Float_t p0, Float_t p1, Float_t p2, Float_t p3, Float_t p4, Float_t p5);
    //predefined functions
    Float_t     FunctionNL_kPi0MCv1(Float_t e);
    Float_t     FunctionNL_kPi0MCv2(Float_t e);
    Float_t     FunctionNL_kPi0MCv3(Float_t e);
    Float_t     FunctionNL_kPi0MCv5(Float_t e);
    Float_t     FunctionNL_kPi0MCv6(Float_t e);
    Float_t     FunctionNL_kSDMv5(Float_t e);
    Float_t     FunctionNL_kSDMv6(Float_t e);
    Float_t     FunctionNL_kTestBeamv2(Float_t e);
    Float_t     FunctionNL_kTestBeamv3(Float_t e);

    void        InitCutHistograms(TString name="");
    void        SetFillCutHistograms(TString name="")           {if(!fHistograms){InitCutHistograms(name);} return;}
    TList*      GetCutHistograms()                              {return fHistograms;}
    TList*      GetExtQAHistograms()                            {return fHistExtQA;}
    void        FillClusterCutIndex(Int_t photoncut)            {if(fHistCutIndex)fHistCutIndex->Fill(photoncut); return;}
    void        InitializeEMCAL(AliVEvent *event);
    void        InitializePHOS(AliVEvent *event);
    
    void        SetExtendedMatchAndQA(Int_t extendedMatchAndQA) {fExtendedMatchAndQA = extendedMatchAndQA; return;}
    void        FillHistogramsExtendedQA(AliVEvent *event, Int_t isMC);
    void        SetIsPureCaloCut(Int_t merged)                  {fIsPureCalo = merged; return;}
    Int_t       GetIsPureCaloCut()                              {return fIsPureCalo;}
    
    
    // Cut functions
    Bool_t      AcceptanceCuts(AliVCluster* cluster, AliVEvent *event, Double_t weight);
    Bool_t      ClusterQualityCuts(AliVCluster* cluster,AliVEvent *event, AliVEvent *mcEvent, Int_t isMC, Double_t weight, Long_t clusterID);

    Bool_t      MatchConvPhotonToCluster(AliAODConversionPhoton* convPhoton, AliVCluster* cluster, AliVEvent* event, Double_t weight=1.);
    void        MatchTracksToClusters(AliVEvent* event, Double_t weight=1., Bool_t isEMCalOnly = kTRUE);
    Bool_t      CheckClusterForTrackMatch(AliVCluster* cluster);
    Int_t       GetNumberOfLocalMaxima(AliVCluster* cluster, AliVEvent * event);
    Int_t       GetNumberOfLocalMaxima(AliVCluster* cluster, AliVEvent * event,  Int_t *absCellIdList, Float_t* maxEList);
    Bool_t      AreNeighbours(Int_t absCellId1, Int_t absCellId2);
    Int_t       GetModuleNumberAndCellPosition(Int_t absCellId, Int_t & icol, Int_t & irow);
    void        SplitEnergy(Int_t absCellId1, Int_t absCellId2, AliVCluster* cluster, AliVEvent* event, 
                            Int_t isMC, AliAODCaloCluster* cluster1, AliAODCaloCluster* cluster2);
    Int_t       FindLargestCellInCluster(AliVCluster* cluster, AliVEvent* event);
    Int_t       FindSecondLargestCellInCluster(AliVCluster* cluster, AliVEvent* event);
    Bool_t      CheckDistanceToBadChannel(AliVCluster* cluster, AliVEvent* event);
    Int_t       ClassifyClusterForTMEffi(AliVCluster* cluster, AliVEvent* event, AliVEvent* mcEvent, Bool_t isESD);
    
    std::vector<Int_t> GetVectorMatchedTracksToCluster(AliVEvent* event, AliVCluster* cluster);
    Bool_t      GetClosestMatchedTrackToCluster(AliVEvent* event, AliVCluster* cluster, Int_t &trackLabel);
    Bool_t      GetHighestPtMatchedTrackToCluster(AliVEvent* event, AliVCluster* cluster, Int_t &trackLabel);

    AliCaloTrackMatcher* GetCaloTrackMatcherInstance()          {return fCaloTrackMatcher;}

    // modify acceptance via histogram with cellID
    void        SetHistoToModifyAcceptance(TH1S* histAcc)       {fHistoModifyAcc  = histAcc; return;}

    // Set basic merging cuts
    void        SetSeedEnergy(Double_t seed)                    {fSeedEnergy      = seed; return;}
    void        SetLocMaxCutEDiff(Double_t diffCut)             {fLocMaxCutEDiff  = diffCut; return;}
    
    // Set Individual Cuts
    Bool_t      SetClusterTypeCut(Int_t);
    Bool_t      SetMinEtaCut(Int_t);
    Bool_t      SetMaxEtaCut(Int_t);
    Bool_t      SetMinPhiCut(Int_t);    
    Bool_t      SetMaxPhiCut(Int_t);    
    Bool_t      SetDistanceToBadChannelCut(Int_t);
    Bool_t      SetTimingCut(Int_t);
    Bool_t      SetTrackMatchingCut(Int_t);
    Bool_t      SetExoticClusterCut(Int_t);
    Bool_t      SetMinEnergyCut(Int_t);
    Bool_t      SetMinNCellsCut(Int_t);
    Bool_t      SetMaxM02(Int_t);
    Bool_t      SetMinM02(Int_t);
    Bool_t      SetMaxM20(Int_t);
    Bool_t      SetMinM20(Int_t);
    Bool_t      SetDispersion(Int_t);
    Bool_t      SetNLM(Int_t);
    Bool_t      SetNonLinearity1(Int_t);
    Bool_t      SetNonLinearity2(Int_t);
    
    
    Int_t       GetNonLinearity()                                {return fSwitchNonLinearity;}
    void        SetUseNonLinearitySwitch( Bool_t useNonLin)      { fUseNonLinearity = useNonLin;}
    
    Float_t     FunctionM02 (Float_t E, Float_t a, Float_t b, Float_t c, Float_t d, Float_t e);
    Float_t     CalculateMaxM02 (Int_t maxM02, Float_t clusEnergy);
    Float_t     CalculateMinM02 (Int_t minM02, Float_t clusEnergy);
    Double_t    GetDistanceBetweenClusters(AliVCluster* cluster1, AliVCluster* cluster2);
    void        SetLogBinningXTH1 (TH1* histoRebin);
    void        SetLogBinningXTH2 (TH2* histoRebin);
    void        SetLogBinningYTH2 (TH2* histoRebin);
      
    Bool_t      IsExoticCluster ( AliVCluster *cluster, AliVEvent *event, Float_t& energyStar );
    Float_t     GetECross ( Int_t absID, AliVCaloCells* cells );
    Bool_t      AcceptCellByBadChannelMap (Int_t absID );
    void        SetExoticsMinCellEnergyCut(Double_t minE)       { fExoticMinEnergyCell = minE; return;}
    void        SetExoticsQA(Bool_t enable)                     { fDoExoticsQA         = enable; return;}

    AliEMCALGeometry* GetGeomEMCAL(){return fGeomEMCAL;}
    AliPHOSGeometry*  GetGeomPHOS() {return fGeomPHOS;}
    
  protected:
    TList      *fHistograms;
    TList      *fHistExtQA;

    AliCaloTrackMatcher* fCaloTrackMatcher;             // pointer to CaloTrackMatcher
    AliEMCALGeometry*   fGeomEMCAL;                     // pointer to EMCAL geometry
    AliEMCALRecoUtils*  fEMCALRecUtils;                 // pointer to EMCAL recUtils
    Bool_t     fEMCALInitialized;                       // flag for EMCal initialization
    AliPHOSGeometry*    fGeomPHOS;                      // pointer to PHOS geometry
    Bool_t     fPHOSInitialized;                        // flag for PHOS initialization
    Int_t      fPHOSCurrentRun;                         // PHOS: current processed run for bad channel map
    TObjArray* fEMCALBadChannelsMap;                    // pointer to EMCAL bad channel map
    TH2I**     fPHOSBadChannelsMap;                     // pointer to PHOS bad channel map
    TProfile*  fBadChannels;                            // TProfile with bad channels
    Int_t      fNMaxEMCalModules;                       // max number of EMCal Modules
    Int_t      fNMaxPHOSModules;                        // max number of PHOS Modules
    TH1S*      fHistoModifyAcc;                         // hisogram for modified acceptance, if leadCellID->1 accept cluster, if leadCellID->0 reject cluster
    Int_t      fNMaxDCalModules;                        // max number of DCal Modules
    Int_t      fgkDCALCols;                // Number of columns in DCal

    Bool_t    fDoLightOutput;                           // switch for running light output, kFALSE -> normal mode, kTRUE -> light mode
    Int_t     fIsMC;                                    // Flag for usage of JetJet MC

    Bool_t     fIsCurrentClusterAcceptedBeforeTM;       // flag if latest checked cluster would have been accepted before track matching cut

    //for NonLinearity correction
    TString   fV0ReaderName;                            // Name of V0Reader
    TString   fCaloTrackMatcherName;                    // Name of global TrackMatching instance
    TString   fPeriodName;                              // PeriodName of MC
    MCSet     fCurrentMC;                               // enum for current MC set being processed
    
    //cuts
    Int_t     fClusterType;                             // which cluster do we have
    Double_t  fMinEtaCut;                               // min eta cut
    Double_t  fMaxEtaCut;                               // max eta cut
    Bool_t    fUseEtaCut;                               // flag for switching on eta cut
    Double_t  fMinPhiCut;                               // phi cut
    Double_t  fMaxPhiCut;                               // phi cut
    Bool_t    fUsePhiCut;                               // flag for switching on phi cut
    Double_t  fMinDistanceToBadChannel;                 // minimum distance to bad channel
    Int_t     fUseDistanceToBadChannel;                 // flag for switching on distance to bad channel cut: 0 off, 1 on without corners, 2 on with corners included
    Double_t  fMaxTimeDiff;                             // maximum time difference to triggered collision
    Double_t  fMinTimeDiff;                             // minimum time difference to triggered collision
    Bool_t    fUseTimeDiff;                             // flag for switching on time difference cut
    Double_t  fMaxDistTrackToClusterEta;                // minimum distance between track and cluster in eta
    Double_t  fMinDistTrackToClusterPhi;                // minimum distance between track and cluster in phi
    Double_t  fMaxDistTrackToClusterPhi;                // maximum distance between track and cluster in phi
    Bool_t    fUseDistTrackToCluster;                   // flag for switching on distance between track and cluster cut
    Bool_t    fUsePtDepTrackToCluster;                  // flag for switching on pT dependent matching parameters
    TF1*      fFuncPtDepEta;                            // TF1 for pT dep cutting in eta
    TF1*      fFuncPtDepPhi;                            // TF1 for pT dep cutting in phi
    Int_t     fExtendedMatchAndQA;                      // switching on ext matching histograms (1) / ext QA_noCell (2) / ext matching + ext QA_noCell (3) / extQA + cell (4) / ext match + extQA + cell (5) or all off (0)
    Double_t  fExoticEnergyFracCluster;                 // exotic energy compared to E_cross cluster cut
    Double_t  fExoticMinEnergyCell;                     // minimum energy of cell to test for exotics
    Bool_t    fUseExoticCluster;                        // flag for switching on exotic cluster cut
    Bool_t    fDoExoticsQA;                             // flag for switching on exotic cluster cut
    Double_t  fMinEnergy;                               // minium energy per cluster
    Double_t  fSeedEnergy;                              // seed energy for clusters
    Double_t  fLocMaxCutEDiff;                          // cut on energy difference between two cells
    Bool_t    fUseMinEnergy;                            // flag for switching on minimum energy cut
    Int_t     fMinNCells;                               // minimum number of cells 
    Bool_t    fUseNCells;                               // flag for switching on minimum N Cells cut
    Double_t  fMaxM02;                                  // maximum M02
    Double_t  fMinM02;                                  // minimum M02
    Int_t     fUseM02;                                  // flag for switching on M02 cut
    Int_t     fMaxM02CutNr;                             // maximum M02 CutNr
    Int_t     fMinM02CutNr;                             // minimum M02 CutNr
    Double_t  fMaxM20;                                  // maximum M20
    Double_t  fMinM20;                                  // minimum M20
    Bool_t    fUseM20;                                  // flag for switching on M20 cut
    Double_t  fMaxDispersion;                           // maximum dispersion
    Bool_t    fUseDispersion;                           // flag for switching on dispersion cut
    Int_t     fMinNLM;                                  // minimum number of local maxima in cluster
    Int_t     fMaxNLM;                                  // maximum number of local maxima in cluster
    Bool_t    fUseNLM;                                  // flag for switching on NLM cut
    Int_t     fNonLinearity1;                           // selection of nonlinearity correction, part1
    Int_t     fNonLinearity2;                           // selection of nonlinearity correction, part2
    Int_t     fSwitchNonLinearity;                      // selection (combined) of NonLinearity
    Bool_t    fUseNonLinearity;                         // flag for switching NonLinearity correction
    Int_t     fIsPureCalo;                              // flag for MergedCluster analysis
    
    //vector
    std::vector<Int_t> fVectorMatchedClusterIDs;        // vector with cluster IDs that have been matched to tracks in merged cluster analysis

    // CutString
    TObjString* fCutString;                             // cut number used for analysis
    TString     fCutStringRead;

    // Histograms
    TH1F*     fHistCutIndex;                            // bookkeeping for cuts
    TH1F*     fHistAcceptanceCuts;                      // bookkeeping for acceptance cuts
    TH2F*     fHistClusterIdentificationCuts;           // bookkeeping for cluster identification cuts
    
    TH2F*     fHistClusterEtavsPhiBeforeAcc;            // eta-phi-distribution before acceptance cuts
    TH2F*     fHistClusterEtavsPhiAfterAcc;             // eta-phi-distribution of all after acceptance cuts
    TH2F*     fHistClusterEtavsPhiAfterQA;              // eta-phi-distribution of all after cluster quality cuts
    TH2F*     fHistClusterTimevsEBeforeQA;              // Cluster time vs E before cluster quality cuts
    TH2F*     fHistClusterTimevsEAfterQA;               // Cluster time vs E after cluster quality cuts
    TH1F*     fHistEnergyOfClusterBeforeNL;             // enery per cluster before NonLinearity correction
    TH1F*     fHistEnergyOfClusterAfterNL;              // enery per cluster after NonLinearity correction
    TH1F*     fHistEnergyOfClusterBeforeQA;             // enery per cluster before acceptance cuts
    TH1F*     fHistEnergyOfClusterAfterQA;              // enery per cluster after cluster quality cuts
    TH1F*     fHistNCellsBeforeQA;                      // number of cells per cluster before acceptance cuts
    TH1F*     fHistNCellsAfterQA;                       // number of cells per cluster after cluster quality cuts
    TH1F*     fHistM02BeforeQA;                         // M02 before acceptance cuts
    TH1F*     fHistM02AfterQA;                          // M02 after cluster quality cuts
    TH1F*     fHistM20BeforeQA;                         // M20 before acceptance cuts
    TH1F*     fHistM20AfterQA;                          // M20 after cluster quality cuts
    TH1F*     fHistDispersionBeforeQA;                  // dispersion before acceptance cuts
    TH1F*     fHistDispersionAfterQA;                   // dispersion after cluster quality cuts
    TH1F*     fHistNLMBeforeQA;                         // number of local maxima in cluster before acceptance cuts
    TH1F*     fHistNLMAfterQA;                          // number of local maxima in cluster after cluster quality cuts
//     TH2F*     fHistNLMAvsNLMBBeforeQA;                  // number of local maxima in cluster after cluster quality cuts
    TH2F*     fHistNLMVsNCellsAfterQA;                  // number of local maxima vs Ncells in cluster after cluster quality cuts
    TH2F*     fHistNLMVsEAfterQA;                       // number of local maxima vs E in cluster after cluster quality cuts
    //More histograms
    TH2F*     fHistClusterEnergyvsMod;                  // Cluster Energy vs Module Number
    TH2F*     fHistNCellsBigger100MeVvsMod;             // NCells with >0.1 GeV vs Module Number
    TH2F*     fHistNCellsBigger1500MeVvsMod;            // NCells with >1.5 GeV vs Module Number
    TH2F*     fHistEnergyOfModvsMod;                    // Deposited Energy vs Module Number
    TH2F*     fHistClusterEnergyvsNCells;               // Cluster Energy vs NCells
    TH2F*     fHistCellEnergyvsCellID;                  // Cell Energy vs CellID
    TH2F*     fHistCellTimevsCellID;                    // Cell Time vs CellID
    TH2F*     fHistClusterEM02BeforeQA;                 // 2-dim plot E vs. M02
    TH2F*     fHistClusterEM02AfterQA;                  // 2-dim plot E vs. M02
    TH1F*     fHistClusterIncludedCellsBeforeQA;        // CellIDs in Cluster
    TH1F*     fHistClusterIncludedCellsAfterQA;         // CellIDs in Cluster of accepted ones
    TH1F*     fHistClusterEnergyFracCellsBeforeQA;      // Energy fraction of CellIDs in Cluster
    TH1F*     fHistClusterEnergyFracCellsAfterQA;       // Energy fraction of CellIDs in Cluster of accepted ones
    TH2F*     fHistClusterIncludedCellsTimingAfterQA;   // Timing of CellIDs in Cluster of accepted ones
    TH2F*     fHistClusterIncludedCellsTimingEnergyAfterQA;   // Timing vs Energy of CellIDs in Cluster of accepted ones
    TH2F*     fHistClusterDistanceInTimeCut;            // distance of clusters: within cluster timing cut + within cluster timing cut
    TH2F*     fHistClusterDistanceOutTimeCut;           // distance of clusters: within cluster timing cut + outside cluster timing cut
    TH1F*     fHistClusterDistance1DInTimeCut;          // 1D distance of clusters: within cluster timing cut + within cluster timing cut

    //Track matching histograms
    TH1F*     fHistClusterRBeforeQA;                    // cluster position in R=SQRT(x^2+y^2) (before QA)
    TH1F*     fHistClusterRAfterQA;                     // cluster position in R=SQRT(x^2+y^2) for matched tracks (After QA)
    TH2F*     fHistClusterdEtadPhiBeforeQA;             // 2-dim plot dEta vs. dPhi
    TH2F*     fHistClusterdEtadPhiAfterQA;              // 2-dim plot dEta vs. dPhi for matched tracks (after QA)
    TH1F*     fHistDistanceTrackToClusterBeforeQA;      // distance cluster to track before acceptance cuts
    TH1F*     fHistDistanceTrackToClusterAfterQA;       // distance cluster to track after cluster quality cuts

    //Extended track matching histograms
    TH2F*     fHistClusterdEtadPhiPosTracksBeforeQA;    // 2-dim plot dEta vs. dPhi
    TH2F*     fHistClusterdEtadPhiNegTracksBeforeQA;    // 2-dim plot dEta vs. dPhi
    TH2F*     fHistClusterdEtadPhiPosTracksAfterQA;     // 2-dim plot dEta vs. dPhi
    TH2F*     fHistClusterdEtadPhiNegTracksAfterQA;     // 2-dim plot dEta vs. dPhi
    TH2F*     fHistClusterdEtadPhiPosTracksP_000_075BeforeQA; // 2-dim plot dEta vs. dPhi, positive Tracks, P < 0.75
    TH2F*     fHistClusterdEtadPhiPosTracksP_075_125BeforeQA; // 2-dim plot dEta vs. dPhi, positive Tracks, 0.75 < P < 1.25
    TH2F*     fHistClusterdEtadPhiPosTracksP_125_999BeforeQA; // 2-dim plot dEta vs. dPhi, positive Tracks, P > 1.25
    TH2F*     fHistClusterdEtadPhiNegTracksP_000_075BeforeQA; // 2-dim plot dEta vs. dPhi, negative Tracks, P < 0.75
    TH2F*     fHistClusterdEtadPhiNegTracksP_075_125BeforeQA; // 2-dim plot dEta vs. dPhi, negative Tracks, 0.75 < P < 1.25
    TH2F*     fHistClusterdEtadPhiNegTracksP_125_999BeforeQA; // 2-dim plot dEta vs. dPhi, negative Tracks, P > 1.25
    TH2F*     fHistClusterdEtadPtBeforeQA;              // 2-dim plot dEta vs. Pt
    TH2F*     fHistClusterdEtadPtAfterQA;               // 2-dim plot dEta vs. Pt
    TH2F*     fHistClusterdEtadPtTrueMatched;           // 2-dim plot dEta vs. Pt for validated match
    TH2F*     fHistClusterdPhidPtPosTracksBeforeQA;     // 2-dim plot dPhi vs. Pt, positive Tracks
    TH2F*     fHistClusterdPhidPtNegTracksBeforeQA;     // 2-dim plot dPhi vs. Pt, negative Tracks
    TH2F*     fHistClusterdPhidPtAfterQA;               // 2-dim plot dPhi vs. Pt
    TH2F*     fHistClusterdPhidPtPosTracksTrueMatched;  // 2-dim plot dPhi vs. Pt, positive Tracks, validated match
    TH2F*     fHistClusterdPhidPtNegTracksTrueMatched;  // 2-dim plot dPhi vs. Pt, negative Tracks, validated match
    TH2F*     fHistClusterM20M02BeforeQA;               // 2-dim plot M20 vs. M02
    TH2F*     fHistClusterM20M02AfterQA;                // 2-dim plot M20 vs. M20

    // QA histograms for exotic clusters
    TH2F*     fHistClusterEtavsPhiExotics;              // eta-phi-distribution of exotic clusters
    TH2F*     fHistClusterEM02Exotics;                  // 2-dim plot E vs. M02 for exotic clusters
    TH2F*     fHistClusterEnergyvsNCellsExotics;        // Cluster Energy vs NCells
    TH2F*     fHistClusterEEstarExotics;                // 2-dim plot E vs. Estar for exotic clusters
    
    // histograms for track matching efficiency
    TH2F*     fHistClusterTMEffiInput;                  //
    TH2F*     fHistClusterEvsTrackECharged;             //
    TH2F*     fHistClusterEvsTrackEChargedLead;         //
    TH2F*     fHistClusterEvsTrackENeutral;             //
    TH2F*     fHistClusterEvsTrackENeutralSubCharged;   //
    TH2F*     fHistClusterEvsTrackEGamma;               //
    TH2F*     fHistClusterEvsTrackEGammaSubCharged;     //
    TH2F*     fHistClusterEvsTrackEConv;                //
    TH2F*     fHistClusterENMatchesNeutral;             //
    TH2F*     fHistClusterENMatchesCharged;             //
    TH2F*     fHistClusterEvsTrackEPrimaryButNoElec;    //
    TH2F*     fHistClusterEvsTrackSumEPrimaryButNoElec; //
    
  private:

    ClassDef(AliCaloPhotonCuts,45)
};

#endif