[u/mrichter/AliRoot.git] / PWGGA / CaloTrackCorrelations / AliAnaPhoton.h

#ifndef ALIANAPHOTON_H
#define ALIANAPHOTON_H
/* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
 * See cxx source for full Copyright notice     */

//_________________________________________________________________________
//
// Class for the photon identification.
// Clusters from calorimeters are identified as photons
// and kept in the AOD. Few histograms produced.
// Produces input for other analysis classes like AliAnaPi0, 
// AliAnaParticleHadronCorrelation ... 
//

//-- Author: Gustavo Conesa (INFN-LNF)

// --- ROOT system ---
class TH2F ;
class TH1F;
class TString ;
class TObjString;
class TList ;

// --- ANALYSIS system ---
#include "AliAnaCaloTrackCorrBaseClass.h"

class AliAnaPhoton : public AliAnaCaloTrackCorrBaseClass {

 public: 
  AliAnaPhoton() ;              // default ctor
  virtual ~AliAnaPhoton() { ; } // virtual dtor
	
  //---------------------------------------
  // General analysis frame methods
  //---------------------------------------
  
  TObjString * GetAnalysisCuts();
  
  TList      * GetCreateOutputObjects();
  
  void         Init();

  void         InitParameters();

  void         MakeAnalysisFillAOD()  ;

  void         MakeAnalysisFillHistograms() ; 
  
  void         Print(const Option_t * opt)const;
    
  
  // Analysis methods
  
  Bool_t       ClusterSelected(AliVCluster* cl, TLorentzVector mom) ;
  
  void         FillAcceptanceHistograms();

  void         FillShowerShapeHistograms( AliVCluster* cluster, const Int_t mcTag) ;
  
  void         SwitchOnFillShowerShapeHistograms()    { fFillSSHistograms = kTRUE  ; }
  void         SwitchOffFillShowerShapeHistograms()   { fFillSSHistograms = kFALSE ; }  
  
  void         FillTrackMatchingResidualHistograms(AliVCluster* calo, const Int_t cut);
  
  void         SwitchOnTMHistoFill()                  { fFillTMHisto      = kTRUE  ; }
  void         SwitchOffTMHistoFill()                 { fFillTMHisto      = kFALSE ; }

  
  // Analysis parameters setters getters
  
  TString      GetCalorimeter()                 const { return fCalorimeter        ; }
  void         SetCalorimeter(TString  & det)         { fCalorimeter = det         ; }
    
  // ** Cluster selection methods **
  
  void         SetMinDistanceToBadChannel(Float_t m1, Float_t m2, Float_t m3) {
                fMinDist = m1; fMinDist2 = m2; fMinDist3 = m3; }

  void         SetTimeCut(Double_t min, Double_t max) { fTimeCutMin = min; 
                                                        fTimeCutMax = max          ; }
  Double_t     GetTimeCutMin()                  const { return fTimeCutMin         ; }
  Double_t     GetTimeCutMax()                  const { return fTimeCutMax         ; }	
	
  void         SetNCellCut(Int_t n)                   { fNCellsCut = n             ; }
  Double_t     GetNCellCut()                    const { return fNCellsCut          ; }
  
  Bool_t       IsTrackMatchRejectionOn()        const { return fRejectTrackMatch   ; }
  void         SwitchOnTrackMatchRejection()          { fRejectTrackMatch = kTRUE  ; }
  void         SwitchOffTrackMatchRejection()         { fRejectTrackMatch = kFALSE ; }  
	  
  void         FillNOriginHistograms(Int_t n)         { fNOriginHistograms = n ; 
    if(n > 14) fNOriginHistograms = 14; }
  void         FillNPrimaryHistograms(Int_t n)        { fNPrimaryHistograms= n ;
    if(n > 7)  fNPrimaryHistograms = 7; }

  // For histograms in arrays, index in the array, corresponding to a particle
  enum mcTypes    { kmcPhoton = 0,        kmcPi0Decay = 1,       kmcOtherDecay = 2,  
                    kmcPi0 = 3,           kmcEta = 4,            kmcElectron = 5,       
                    kmcConversion = 6,    kmcOther = 7,          kmcAntiNeutron = 8,    
                    kmcAntiProton = 9,    kmcPrompt = 10,        kmcFragmentation = 11, 
                    kmcISR = 12,          kmcString = 13                               };  

  enum mcPTypes   { kmcPPhoton = 0,       kmcPPi0Decay = 1,       kmcPOtherDecay = 2,  kmcPOther = 3,
                    kmcPPrompt = 4,       kmcPFragmentation = 5,  kmcPISR = 6           };  
  
  enum mcssTypes  { kmcssPhoton = 0,      kmcssOther = 1,       kmcssPi0 = 2,         
                    kmcssEta = 3,         kmcssConversion = 4,  kmcssElectron = 5       };  
  
  private:
 
  TString  fCalorimeter ;                // Calorimeter where the gamma is searched;
  Float_t  fMinDist ;                    // Minimal distance to bad channel to accept cluster
  Float_t  fMinDist2;                    // Cuts on Minimal distance to study acceptance evaluation
  Float_t  fMinDist3;                    // One more cut on distance used for acceptance-efficiency study
  Bool_t   fRejectTrackMatch ;           // If PID on, reject clusters which have an associated TPC track
  Bool_t   fFillTMHisto;                 // Fill track matching plots
  Double_t fTimeCutMin  ;                // Remove clusters/cells with time smaller than this value, in ns
  Double_t fTimeCutMax  ;                // Remove clusters/cells with time larger than this value, in ns
  Int_t    fNCellsCut ;                  // Accept for the analysis clusters with more than fNCellsCut cells
  Bool_t   fFillSSHistograms ;           // Fill shower shape histograms
  Int_t    fNOriginHistograms;           // Fill only NOriginHistograms of the 14 defined types
  Int_t    fNPrimaryHistograms;          // Fill only NPrimaryHistograms of the 7 defined types

  //Histograms 
  TH1F * fhClusterCuts[9];               //! control histogram on the different photon selection cuts
  TH2F * fhNCellsE;                      //! number of cells in cluster vs E 
  TH2F * fhCellsE;                       //! energy of cells in cluster vs E of cluster
  TH2F * fhMaxCellDiffClusterE;          //! Fraction of energy carried by cell with maximum energy
  TH2F * fhTimeE;                        //! time of cluster vs E 

  TH1F * fhEPhoton    ;                  //! Number of identified photon vs energy
  TH1F * fhPtPhoton   ;                  //! Number of identified photon vs transerse momentum 
  TH2F * fhPhiPhoton  ;                  //! Azimuthal angle of identified  photon vs transerse momentum 
  TH2F * fhEtaPhoton  ;                  //! Pseudorapidity of identified  photon vs transerse momentum 
  TH2F * fhEtaPhiPhoton  ;               //! Pseudorapidity vs Phi of identified  photon for transerse momentum > 0.5
  TH2F * fhEtaPhi05Photon  ;             //! Pseudorapidity vs Phi of identified  photon for transerse momentum < 0.5
  
  //Shower shape
  
  TH2F * fhDispE;                         //! cluster dispersion vs E
  TH2F * fhLam0E;                         //! cluster lambda0 vs  E
  TH2F * fhLam1E;                         //! cluster lambda1 vs  E  

  TH2F * fhDispETRD;                      //! cluster dispersion vs E, SM covered by TRD
  TH2F * fhLam0ETRD;                      //! cluster lambda0 vs  E, SM covered by TRD
  TH2F * fhLam1ETRD;                      //! cluster lambda1 vs  E, SM covered by TRD 

  TH2F * fhDispETM;                       //! cluster dispersion vs E, cut on Track Matching residual
  TH2F * fhLam0ETM;                       //! cluster lambda0 vs  E, cut on Track Matching residual
  TH2F * fhLam1ETM;                       //! cluster lambda1 vs  E, cut on Track Matching residual  
  
  TH2F * fhDispETMTRD;                    //! cluster dispersion vs E, SM covered by TRD, cut on Track Matching residual
  TH2F * fhLam0ETMTRD;                    //! cluster lambda0 vs  E, SM covered by TRD, cut on Track Matching residual
  TH2F * fhLam1ETMTRD;                    //! cluster lambda1 vs  E, SM covered by TRD, cut on Track Matching residual 
  
  TH2F * fhNCellsLam0LowE;                //! number of cells in cluster vs lambda0
  TH2F * fhNCellsLam1LowE;                //! number of cells in cluster vs lambda1
  TH2F * fhNCellsDispLowE;                //! number of cells in cluster vs dispersion
  TH2F * fhNCellsLam0HighE;               //! number of cells in cluster vs lambda0, E>2
  TH2F * fhNCellsLam1HighE;               //! number of cells in cluster vs lambda1, E>2
  TH2F * fhNCellsDispHighE;               //! number of cells in cluster vs dispersion, E>2
  
  TH2F * fhEtaLam0LowE;                   //! cluster eta vs lambda0, E<2
  TH2F * fhPhiLam0LowE;                   //! cluster phi vs lambda0, E<2
  TH2F * fhEtaLam0HighE;                  //! cluster eta vs lambda0, E>2
  TH2F * fhPhiLam0HighE;                  //! cluster phi vs lambda0, E>2
  TH2F * fhLam0DispLowE;                  //! cluster lambda0 vs dispersion, E<2
  TH2F * fhLam0DispHighE;                 //! cluster lambda0 vs dispersion, E>2
  TH2F * fhLam1Lam0LowE;                  //! cluster lambda1 vs lambda0, E<2
  TH2F * fhLam1Lam0HighE;                 //! cluster lambda1 vs lambda0, E>2
  TH2F * fhDispLam1LowE;                  //! cluster disp vs lambda1, E<2
  TH2F * fhDispLam1HighE;                 //! cluster disp vs lambda1, E>2
    
  TH2F * fhDispEtaE ;                     //! shower dispersion in eta direction
  TH2F * fhDispPhiE ;                     //! shower dispersion in phi direction
  TH2F * fhSumEtaE ;                      //! shower dispersion in eta direction
  TH2F * fhSumPhiE ;                      //! shower dispersion in phi direction
  TH2F * fhSumEtaPhiE ;                   //! shower dispersion in eta and phi direction
  TH2F * fhDispEtaPhiDiffE ;              //! shower dispersion eta - phi
  TH2F * fhSphericityE ;                  //! shower sphericity in eta vs phi
  TH2F * fhDispSumEtaDiffE ;              //! difference of 2 eta dispersions
  TH2F * fhDispSumPhiDiffE ;              //! difference of 2 phi dispersions
  TH2F * fhDispEtaDispPhi[7] ;            //! shower dispersion in eta direction vs phi direction for 5 E bins [0-2],[2-4],[4-6],[6-10],[> 10]
  TH2F * fhLambda0DispEta[7] ;            //! shower shape correlation l0 vs disp eta
  TH2F * fhLambda0DispPhi[7] ;            //! shower shape correlation l0 vs disp phi
  
  //Fill MC dependent histograms, Origin of this cluster is ...

  TH2F * fhMCDeltaE[14]  ;                      //! MC-Reco E distribution coming from MC particle     
  TH2F * fhMCDeltaPt[14] ;                      //! MC-Reco pT distribution coming from MC particle
  TH2F * fhMC2E[14]  ;                          //! E distribution, Reco vs MC coming from MC particle
  TH2F * fhMC2Pt[14] ;                          //! pT distribution, Reco vs MC coming from MC particle
  
  TH1F * fhMCE[14];                             //! Number of identified photon vs cluster energy coming from MC particle
  TH1F * fhMCPt[14];                            //! Number of identified photon vs cluster pT     coming from MC particle
  TH2F * fhMCPhi[14];                           //! Phi of identified photon coming from MC particle
  TH2F * fhMCEta[14];                           //! eta of identified photon coming from MC particle

  TH1F * fhEPrimMC[7];                          //! Number of generated photon vs energy
  TH1F * fhPtPrimMC[7];                         //! Number of generated photon vs pT   
  TH2F * fhPhiPrimMC[7];                        //! Phi of generted photon
  TH2F * fhYPrimMC[7];                          //! Rapidity of generated photon 
  
  TH1F * fhEPrimMCAcc[7];                       //! Number of generated photon vs energy, in calorimeter acceptance
  TH1F * fhPtPrimMCAcc[7];                      //! Number of generated photon vs pT, in calorimeter acceptance   
  TH2F * fhPhiPrimMCAcc[7];                     //! Phi of generted photon, in calorimeter acceptance
  TH2F * fhYPrimMCAcc[7];                       //! Rapidity of generated photon, in calorimeter acceptance   
  
  // Shower Shape MC

  TH2F * fhMCELambda0[6] ;                      //! E vs Lambda0     from MC particle
  TH2F * fhMCELambda1[6] ;                      //! E vs Lambda1     from MC particle
  TH2F * fhMCEDispersion[6] ;                   //! E vs Dispersion  from MC particle
  
  TH2F * fhMCPhotonELambda0NoOverlap ;          //! E vs Lambda0     from MC photons, no overlap
  TH2F * fhMCPhotonELambda0TwoOverlap ;         //! E vs Lambda0     from MC photons, 2 particles overlap
  TH2F * fhMCPhotonELambda0NOverlap ;           //! E vs Lambda0     from MC photons, N particles overlap
  
  TH2F * fhMCLambda0vsClusterMaxCellDiffE0[6];  //! Lambda0 vs fraction of energy of max cell for E < 2 GeV
  TH2F * fhMCLambda0vsClusterMaxCellDiffE2[6];  //! Lambda0 vs fraction of energy of max cell for 2< E < 6 GeV
  TH2F * fhMCLambda0vsClusterMaxCellDiffE6[6];  //! Lambda0 vs fraction of energy of max cell for E > 6 GeV
  TH2F * fhMCNCellsvsClusterMaxCellDiffE0[6];   //! NCells  vs fraction of energy of max cell for E < 2
  TH2F * fhMCNCellsvsClusterMaxCellDiffE2[6];   //! NCells  vs fraction of energy of max cell for 2 < E < 6 GeV
  TH2F * fhMCNCellsvsClusterMaxCellDiffE6[6];   //! NCells  vs fraction of energy of max cell for E > 6
  TH2F * fhMCNCellsE[6];                        //! NCells per cluster vs energy
  TH2F * fhMCMaxCellDiffClusterE[6];            //! Fraction of energy carried by cell with maximum energy

  TH2F * fhMCEDispEta[6] ;                      //! shower dispersion in eta direction
  TH2F * fhMCEDispPhi[6] ;                      //! shower dispersion in phi direction
  TH2F * fhMCESumEtaPhi[6] ;                    //! shower dispersion in eta vs phi direction
  TH2F * fhMCEDispEtaPhiDiff[6] ;               //! shower dispersion in eta -phi direction
  TH2F * fhMCESphericity[6] ;                   //! shower sphericity, eta vs phi
  TH2F * fhMCDispEtaDispPhi[7][6] ;             //! shower dispersion in eta direction vs phi direction for 5 E bins [0-2],[2-4],[4-6],[6-10],[> 10]
  TH2F * fhMCLambda0DispEta[7][6] ;             //! shower shape correlation l0 vs disp eta
  TH2F * fhMCLambda0DispPhi[7][6] ;             //! shower shape correlation l0 vs disp phi

  //Embedding
  TH2F * fhEmbeddedSignalFractionEnergy ;       //! Fraction of photon energy of embedded signal vs cluster energy
  
  TH2F * fhEmbedPhotonELambda0FullSignal ;      //!  Lambda0 vs E for embedded photons with more than 90% of the cluster energy
  TH2F * fhEmbedPhotonELambda0MostlySignal ;    //!  Lambda0 vs E for embedded photons with 90%<fraction<50% 
  TH2F * fhEmbedPhotonELambda0MostlyBkg ;       //!  Lambda0 vs E for embedded photons with 50%<fraction<10% 
  TH2F * fhEmbedPhotonELambda0FullBkg ;         //!  Lambda0 vs E for embedded photons with less than 10% of the cluster energy
  
  TH2F * fhEmbedPi0ELambda0FullSignal ;         //!  Lambda0 vs E for embedded photons with more than 90% of the cluster energy
  TH2F * fhEmbedPi0ELambda0MostlySignal ;       //!  Lambda0 vs E for embedded photons with 90%<fraction<50% 
  TH2F * fhEmbedPi0ELambda0MostlyBkg ;          //!  Lambda0 vs E for embedded photons with 50%<fraction<10% 
  TH2F * fhEmbedPi0ELambda0FullBkg ;            //!  Lambda0 vs E for embedded photons with less than 10% of the cluster energy
  
  // Track Matching
  TH2F * fhTrackMatchedDEta[2]           ;      //! Eta distance between track and cluster vs cluster E, after and before photon cuts
  TH2F * fhTrackMatchedDPhi[2]           ;      //! Phi distance between track and cluster vs cluster E, after and before photon cuts
  TH2F * fhTrackMatchedDEtaDPhi[2]       ;      //! Eta vs Phi distance between track and cluster, E cluster > 0.5 GeV, after and before photon cuts
  
  TH2F * fhTrackMatchedDEtaTRD[2]        ;      //! Eta distance between track and cluster vs cluster E, after and before photon cuts, behind TRD
  TH2F * fhTrackMatchedDPhiTRD[2]        ;      //! Phi distance between track and cluster vs cluster E, after and before photon cuts, behind TRD
  
  TH2F * fhTrackMatchedDEtaMCOverlap[2]  ;      //! Eta distance between track and cluster vs cluster E, several particle overlap, after and before photon cuts 
  TH2F * fhTrackMatchedDPhiMCOverlap[2]  ;      //! Phi distance between track and cluster vs cluster E, several particle overlap, after and before photon cuts 
  TH2F * fhTrackMatchedDEtaMCNoOverlap[2];      //! Eta distance between track and cluster vs cluster E, not other particle overlap, after and before photon cuts 
  TH2F * fhTrackMatchedDPhiMCNoOverlap[2];      //! Phi distance between track and cluster vs cluster E, not other particle overlap, after and before photon cuts 
  TH2F * fhTrackMatchedDEtaMCConversion[2];     //! Eta distance between track and cluster vs cluster E, originated in conversion, after and before photon cuts 
  TH2F * fhTrackMatchedDPhiMCConversion[2];     //! Phi distance between track and cluster vs cluster E, originated in conversion, after and before photon cuts 
  
  TH2F * fhTrackMatchedMCParticle[2];           //! Trace origin of matched particle
  TH2F * fhdEdx[2];                             //! matched track dEdx vs cluster E, after and before photon cuts 
  TH2F * fhEOverP[2];                           //! matched track E cluster over P track vs cluster E, after dEdx cut, after and before photon cuts 
  TH2F * fhEOverPTRD[2];                        //! matched track E cluster over P track vs cluster E, after dEdx cut, after and before photon cuts, behind TRD 

  AliAnaPhoton(              const AliAnaPhoton & g) ; // cpy ctor
  AliAnaPhoton & operator = (const AliAnaPhoton & g) ; // cpy assignment
  
  ClassDef(AliAnaPhoton,25)

} ;
 
#endif//ALIANAPHOTON_H
Commit	Line	Data
1c5acb87	1	#ifndef ALIANAPHOTON_H
	2	#define ALIANAPHOTON_H
	3	/* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
	4	* See cxx source for full Copyright notice */
1c5acb87	5
	6	//_________________________________________________________________________
	7	//
	8	// Class for the photon identification.
	9	// Clusters from calorimeters are identified as photons
	10	// and kept in the AOD. Few histograms produced.
6175da48	11	// Produces input for other analysis classes like AliAnaPi0,
6175da48	12	// AliAnaParticleHadronCorrelation ...
1c5acb87	13	//
	14
	15	//-- Author: Gustavo Conesa (INFN-LNF)
	16
	17	// --- ROOT system ---
	18	class TH2F ;
123fc3bd	19	class TH1F;
1c5acb87	20	class TString ;
0c1383b5	21	class TObjString;
5812a064	22	class TList ;
1c5acb87	23
1c5acb87	24	// --- ANALYSIS system ---
745913ae	25	#include "AliAnaCaloTrackCorrBaseClass.h"
1c5acb87	26
745913ae	27	class AliAnaPhoton : public AliAnaCaloTrackCorrBaseClass {
1c5acb87	28
78219bac	29	public:
5812a064	30	AliAnaPhoton() ; // default ctor
5812a064	31	virtual ~AliAnaPhoton() { ; } // virtual dtor
0c1383b5	32
6175da48	33	//---------------------------------------
	34	// General analysis frame methods
	35	//---------------------------------------
c4a7d28a	36
0c1383b5	37	TObjString * GetAnalysisCuts();
6175da48	38
0c1383b5	39	TList * GetCreateOutputObjects();
c4a7d28a	40
6175da48	41	void Init();
6639984f	42
6175da48	43	void InitParameters();
	44
	45	void MakeAnalysisFillAOD() ;
	46
	47	void MakeAnalysisFillHistograms() ;
1c5acb87	48
6175da48	49	void Print(const Option_t * opt)const;
521636d2	50
3d5d5078	51
	52	// Analysis methods
	53
521636d2	54	Bool_t ClusterSelected(AliVCluster* cl, TLorentzVector mom) ;
1c5acb87	55
3d5d5078	56	void FillAcceptanceHistograms();
3d5d5078	57
3d5d5078	58	void FillShowerShapeHistograms( AliVCluster* cluster, const Int_t mcTag) ;
	59
	60	void SwitchOnFillShowerShapeHistograms() { fFillSSHistograms = kTRUE ; }
	61	void SwitchOffFillShowerShapeHistograms() { fFillSSHistograms = kFALSE ; }
	62
4bfeae64	63	void FillTrackMatchingResidualHistograms(AliVCluster* calo, const Int_t cut);
	64
	65	void SwitchOnTMHistoFill() { fFillTMHisto = kTRUE ; }
	66	void SwitchOffTMHistoFill() { fFillTMHisto = kFALSE ; }
	67
3d5d5078	68
6175da48	69	// Analysis parameters setters getters
c4a7d28a	70
521636d2	71	TString GetCalorimeter() const { return fCalorimeter ; }
	72	void SetCalorimeter(TString & det) { fCalorimeter = det ; }
	73
6175da48	74	// Cluster selection methods
6175da48	75
c4a7d28a	76	void SetMinDistanceToBadChannel(Float_t m1, Float_t m2, Float_t m3) {
521636d2	77	fMinDist = m1; fMinDist2 = m2; fMinDist3 = m3; }
6175da48	78
c4a7d28a	79	void SetTimeCut(Double_t min, Double_t max) { fTimeCutMin = min;
521636d2	80	fTimeCutMax = max ; }
	81	Double_t GetTimeCutMin() const { return fTimeCutMin ; }
	82	Double_t GetTimeCutMax() const { return fTimeCutMax ; }
1e86c71e	83
521636d2	84	void SetNCellCut(Int_t n) { fNCellsCut = n ; }
521636d2	85	Double_t GetNCellCut() const { return fNCellsCut ; }
c4a7d28a	86
	87	Bool_t IsTrackMatchRejectionOn() const { return fRejectTrackMatch ; }
	88	void SwitchOnTrackMatchRejection() { fRejectTrackMatch = kTRUE ; }
	89	void SwitchOffTrackMatchRejection() { fRejectTrackMatch = kFALSE ; }
09273901	90
f66d95af	91	void FillNOriginHistograms(Int_t n) { fNOriginHistograms = n ;
	92	if(n > 14) fNOriginHistograms = 14; }
	93	void FillNPrimaryHistograms(Int_t n) { fNPrimaryHistograms= n ;
	94	if(n > 7) fNPrimaryHistograms = 7; }
	95
3d5d5078	96	// For histograms in arrays, index in the array, corresponding to a particle
c5693f62	97	enum mcTypes { kmcPhoton = 0, kmcPi0Decay = 1, kmcOtherDecay = 2,
	98	kmcPi0 = 3, kmcEta = 4, kmcElectron = 5,
	99	kmcConversion = 6, kmcOther = 7, kmcAntiNeutron = 8,
	100	kmcAntiProton = 9, kmcPrompt = 10, kmcFragmentation = 11,
	101	kmcISR = 12, kmcString = 13 };
41121cfe	102
c5693f62	103	enum mcPTypes { kmcPPhoton = 0, kmcPPi0Decay = 1, kmcPOtherDecay = 2, kmcPOther = 3,
c5693f62	104	kmcPPrompt = 4, kmcPFragmentation = 5, kmcPISR = 6 };
f66d95af	105
c5693f62	106	enum mcssTypes { kmcssPhoton = 0, kmcssOther = 1, kmcssPi0 = 2,
c5693f62	107	kmcssEta = 3, kmcssConversion = 4, kmcssElectron = 5 };
3d5d5078	108
1c5acb87	109	private:
1c5acb87	110
6175da48	111	TString fCalorimeter ; // Calorimeter where the gamma is searched;
	112	Float_t fMinDist ; // Minimal distance to bad channel to accept cluster
	113	Float_t fMinDist2; // Cuts on Minimal distance to study acceptance evaluation
	114	Float_t fMinDist3; // One more cut on distance used for acceptance-efficiency study
	115	Bool_t fRejectTrackMatch ; // If PID on, reject clusters which have an associated TPC track
09273901	116	Bool_t fFillTMHisto; // Fill track matching plots
6175da48	117	Double_t fTimeCutMin ; // Remove clusters/cells with time smaller than this value, in ns
	118	Double_t fTimeCutMax ; // Remove clusters/cells with time larger than this value, in ns
	119	Int_t fNCellsCut ; // Accept for the analysis clusters with more than fNCellsCut cells
c4a7d28a	120	Bool_t fFillSSHistograms ; // Fill shower shape histograms
f66d95af	121	Int_t fNOriginHistograms; // Fill only NOriginHistograms of the 14 defined types
f66d95af	122	Int_t fNPrimaryHistograms; // Fill only NPrimaryHistograms of the 7 defined types
521636d2	123
2244659d	124	//Histograms
fc195fd0	125	TH1F * fhClusterCuts[9]; //! control histogram on the different photon selection cuts
c4a7d28a	126	TH2F * fhNCellsE; //! number of cells in cluster vs E
5c46c992	127	TH2F * fhCellsE; //! energy of cells in cluster vs E of cluster
f66d95af	128	TH2F * fhMaxCellDiffClusterE; //! Fraction of energy carried by cell with maximum energy
f15c25da	129	TH2F * fhTimeE; //! time of cluster vs E
f15c25da	130
20218aea	131	TH1F * fhEPhoton ; //! Number of identified photon vs energy
6175da48	132	TH1F * fhPtPhoton ; //! Number of identified photon vs transerse momentum
	133	TH2F * fhPhiPhoton ; //! Azimuthal angle of identified photon vs transerse momentum
	134	TH2F * fhEtaPhoton ; //! Pseudorapidity of identified photon vs transerse momentum
	135	TH2F * fhEtaPhiPhoton ; //! Pseudorapidity vs Phi of identified photon for transerse momentum > 0.5
	136	TH2F * fhEtaPhi05Photon ; //! Pseudorapidity vs Phi of identified photon for transerse momentum < 0.5
123fc3bd	137
521636d2	138	//Shower shape
f66d95af	139
521636d2	140	TH2F * fhDispE; //! cluster dispersion vs E
	141	TH2F * fhLam0E; //! cluster lambda0 vs E
	142	TH2F * fhLam1E; //! cluster lambda1 vs E
7c65ad18	143
521636d2	144	TH2F * fhDispETRD; //! cluster dispersion vs E, SM covered by TRD
	145	TH2F * fhLam0ETRD; //! cluster lambda0 vs E, SM covered by TRD
	146	TH2F * fhLam1ETRD; //! cluster lambda1 vs E, SM covered by TRD
7c65ad18	147
b5dbb99b	148	TH2F * fhDispETM; //! cluster dispersion vs E, cut on Track Matching residual
	149	TH2F * fhLam0ETM; //! cluster lambda0 vs E, cut on Track Matching residual
	150	TH2F * fhLam1ETM; //! cluster lambda1 vs E, cut on Track Matching residual
	151
	152	TH2F * fhDispETMTRD; //! cluster dispersion vs E, SM covered by TRD, cut on Track Matching residual
	153	TH2F * fhLam0ETMTRD; //! cluster lambda0 vs E, SM covered by TRD, cut on Track Matching residual
	154	TH2F * fhLam1ETMTRD; //! cluster lambda1 vs E, SM covered by TRD, cut on Track Matching residual
	155
521636d2	156	TH2F * fhNCellsLam0LowE; //! number of cells in cluster vs lambda0
	157	TH2F * fhNCellsLam1LowE; //! number of cells in cluster vs lambda1
	158	TH2F * fhNCellsDispLowE; //! number of cells in cluster vs dispersion
	159	TH2F * fhNCellsLam0HighE; //! number of cells in cluster vs lambda0, E>2
	160	TH2F * fhNCellsLam1HighE; //! number of cells in cluster vs lambda1, E>2
	161	TH2F * fhNCellsDispHighE; //! number of cells in cluster vs dispersion, E>2
	162
521636d2	163	TH2F * fhEtaLam0LowE; //! cluster eta vs lambda0, E<2
	164	TH2F * fhPhiLam0LowE; //! cluster phi vs lambda0, E<2
	165	TH2F * fhEtaLam0HighE; //! cluster eta vs lambda0, E>2
	166	TH2F * fhPhiLam0HighE; //! cluster phi vs lambda0, E>2
	167	TH2F * fhLam0DispLowE; //! cluster lambda0 vs dispersion, E<2
	168	TH2F * fhLam0DispHighE; //! cluster lambda0 vs dispersion, E>2
	169	TH2F * fhLam1Lam0LowE; //! cluster lambda1 vs lambda0, E<2
	170	TH2F * fhLam1Lam0HighE; //! cluster lambda1 vs lambda0, E>2
	171	TH2F * fhDispLam1LowE; //! cluster disp vs lambda1, E<2
	172	TH2F * fhDispLam1HighE; //! cluster disp vs lambda1, E>2
7c65ad18	173
34c16486	174	TH2F * fhDispEtaE ; //! shower dispersion in eta direction
	175	TH2F * fhDispPhiE ; //! shower dispersion in phi direction
	176	TH2F * fhSumEtaE ; //! shower dispersion in eta direction
	177	TH2F * fhSumPhiE ; //! shower dispersion in phi direction
	178	TH2F * fhSumEtaPhiE ; //! shower dispersion in eta and phi direction
	179	TH2F * fhDispEtaPhiDiffE ; //! shower dispersion eta - phi
	180	TH2F * fhSphericityE ; //! shower sphericity in eta vs phi
	181	TH2F * fhDispSumEtaDiffE ; //! difference of 2 eta dispersions
	182	TH2F * fhDispSumPhiDiffE ; //! difference of 2 phi dispersions
d2655d46	183	TH2F * fhDispEtaDispPhi[7] ; //! shower dispersion in eta direction vs phi direction for 5 E bins [0-2],[2-4],[4-6],[6-10],[> 10]
	184	TH2F * fhLambda0DispEta[7] ; //! shower shape correlation l0 vs disp eta
	185	TH2F * fhLambda0DispPhi[7] ; //! shower shape correlation l0 vs disp phi
bfdcf7fb	186
4c8f7c2e	187	//Fill MC dependent histograms, Origin of this cluster is ...
4c8f7c2e	188
5812a064	189	TH2F * fhMCDeltaE[14] ; //! MC-Reco E distribution coming from MC particle
	190	TH2F * fhMCDeltaPt[14] ; //! MC-Reco pT distribution coming from MC particle
	191	TH2F * fhMC2E[14] ; //! E distribution, Reco vs MC coming from MC particle
	192	TH2F * fhMC2Pt[14] ; //! pT distribution, Reco vs MC coming from MC particle
4c8f7c2e	193
5812a064	194	TH1F * fhMCE[14]; //! Number of identified photon vs cluster energy coming from MC particle
	195	TH1F * fhMCPt[14]; //! Number of identified photon vs cluster pT coming from MC particle
	196	TH2F * fhMCPhi[14]; //! Phi of identified photon coming from MC particle
	197	TH2F * fhMCEta[14]; //! eta of identified photon coming from MC particle
3d5d5078	198
5812a064	199	TH1F * fhEPrimMC[7]; //! Number of generated photon vs energy
	200	TH1F * fhPtPrimMC[7]; //! Number of generated photon vs pT
	201	TH2F * fhPhiPrimMC[7]; //! Phi of generted photon
	202	TH2F * fhYPrimMC[7]; //! Rapidity of generated photon
3d5d5078	203
5812a064	204	TH1F * fhEPrimMCAcc[7]; //! Number of generated photon vs energy, in calorimeter acceptance
	205	TH1F * fhPtPrimMCAcc[7]; //! Number of generated photon vs pT, in calorimeter acceptance
	206	TH2F * fhPhiPrimMCAcc[7]; //! Phi of generted photon, in calorimeter acceptance
	207	TH2F * fhYPrimMCAcc[7]; //! Rapidity of generated photon, in calorimeter acceptance
f66d95af	208
521636d2	209	// Shower Shape MC
521636d2	210
5812a064	211	TH2F * fhMCELambda0[6] ; //! E vs Lambda0 from MC particle
	212	TH2F * fhMCELambda1[6] ; //! E vs Lambda1 from MC particle
	213	TH2F * fhMCEDispersion[6] ; //! E vs Dispersion from MC particle
f66d95af	214
5812a064	215	TH2F * fhMCPhotonELambda0NoOverlap ; //! E vs Lambda0 from MC photons, no overlap
	216	TH2F * fhMCPhotonELambda0TwoOverlap ; //! E vs Lambda0 from MC photons, 2 particles overlap
	217	TH2F * fhMCPhotonELambda0NOverlap ; //! E vs Lambda0 from MC photons, N particles overlap
f66d95af	218
	219	TH2F * fhMCLambda0vsClusterMaxCellDiffE0[6]; //! Lambda0 vs fraction of energy of max cell for E < 2 GeV
	220	TH2F * fhMCLambda0vsClusterMaxCellDiffE2[6]; //! Lambda0 vs fraction of energy of max cell for 2< E < 6 GeV
	221	TH2F * fhMCLambda0vsClusterMaxCellDiffE6[6]; //! Lambda0 vs fraction of energy of max cell for E > 6 GeV
	222	TH2F * fhMCNCellsvsClusterMaxCellDiffE0[6]; //! NCells vs fraction of energy of max cell for E < 2
	223	TH2F * fhMCNCellsvsClusterMaxCellDiffE2[6]; //! NCells vs fraction of energy of max cell for 2 < E < 6 GeV
	224	TH2F * fhMCNCellsvsClusterMaxCellDiffE6[6]; //! NCells vs fraction of energy of max cell for E > 6
	225	TH2F * fhMCNCellsE[6]; //! NCells per cluster vs energy
	226	TH2F * fhMCMaxCellDiffClusterE[6]; //! Fraction of energy carried by cell with maximum energy
	227
34c16486	228	TH2F * fhMCEDispEta[6] ; //! shower dispersion in eta direction
	229	TH2F * fhMCEDispPhi[6] ; //! shower dispersion in phi direction
	230	TH2F * fhMCESumEtaPhi[6] ; //! shower dispersion in eta vs phi direction
	231	TH2F * fhMCEDispEtaPhiDiff[6] ; //! shower dispersion in eta -phi direction
	232	TH2F * fhMCESphericity[6] ; //! shower sphericity, eta vs phi
d2655d46	233	TH2F * fhMCDispEtaDispPhi[7][6] ; //! shower dispersion in eta direction vs phi direction for 5 E bins [0-2],[2-4],[4-6],[6-10],[> 10]
	234	TH2F * fhMCLambda0DispEta[7][6] ; //! shower shape correlation l0 vs disp eta
	235	TH2F * fhMCLambda0DispPhi[7][6] ; //! shower shape correlation l0 vs disp phi
34c16486	236
3d5d5078	237	//Embedding
5812a064	238	TH2F * fhEmbeddedSignalFractionEnergy ; //! Fraction of photon energy of embedded signal vs cluster energy
3d5d5078	239
5812a064	240	TH2F * fhEmbedPhotonELambda0FullSignal ; //! Lambda0 vs E for embedded photons with more than 90% of the cluster energy
	241	TH2F * fhEmbedPhotonELambda0MostlySignal ; //! Lambda0 vs E for embedded photons with 90%<fraction<50%
	242	TH2F * fhEmbedPhotonELambda0MostlyBkg ; //! Lambda0 vs E for embedded photons with 50%<fraction<10%
	243	TH2F * fhEmbedPhotonELambda0FullBkg ; //! Lambda0 vs E for embedded photons with less than 10% of the cluster energy
3d5d5078	244
5812a064	245	TH2F * fhEmbedPi0ELambda0FullSignal ; //! Lambda0 vs E for embedded photons with more than 90% of the cluster energy
	246	TH2F * fhEmbedPi0ELambda0MostlySignal ; //! Lambda0 vs E for embedded photons with 90%<fraction<50%
	247	TH2F * fhEmbedPi0ELambda0MostlyBkg ; //! Lambda0 vs E for embedded photons with 50%<fraction<10%
	248	TH2F * fhEmbedPi0ELambda0FullBkg ; //! Lambda0 vs E for embedded photons with less than 10% of the cluster energy
3d5d5078	249
09273901	250	// Track Matching
4bfeae64	251	TH2F * fhTrackMatchedDEta[2] ; //! Eta distance between track and cluster vs cluster E, after and before photon cuts
	252	TH2F * fhTrackMatchedDPhi[2] ; //! Phi distance between track and cluster vs cluster E, after and before photon cuts
	253	TH2F * fhTrackMatchedDEtaDPhi[2] ; //! Eta vs Phi distance between track and cluster, E cluster > 0.5 GeV, after and before photon cuts
	254
	255	TH2F * fhTrackMatchedDEtaTRD[2] ; //! Eta distance between track and cluster vs cluster E, after and before photon cuts, behind TRD
	256	TH2F * fhTrackMatchedDPhiTRD[2] ; //! Phi distance between track and cluster vs cluster E, after and before photon cuts, behind TRD
	257
	258	TH2F * fhTrackMatchedDEtaMCOverlap[2] ; //! Eta distance between track and cluster vs cluster E, several particle overlap, after and before photon cuts
	259	TH2F * fhTrackMatchedDPhiMCOverlap[2] ; //! Phi distance between track and cluster vs cluster E, several particle overlap, after and before photon cuts
	260	TH2F * fhTrackMatchedDEtaMCNoOverlap[2]; //! Eta distance between track and cluster vs cluster E, not other particle overlap, after and before photon cuts
	261	TH2F * fhTrackMatchedDPhiMCNoOverlap[2]; //! Phi distance between track and cluster vs cluster E, not other particle overlap, after and before photon cuts
	262	TH2F * fhTrackMatchedDEtaMCConversion[2]; //! Eta distance between track and cluster vs cluster E, originated in conversion, after and before photon cuts
	263	TH2F * fhTrackMatchedDPhiMCConversion[2]; //! Phi distance between track and cluster vs cluster E, originated in conversion, after and before photon cuts
	264
	265	TH2F * fhTrackMatchedMCParticle[2]; //! Trace origin of matched particle
	266	TH2F * fhdEdx[2]; //! matched track dEdx vs cluster E, after and before photon cuts
	267	TH2F * fhEOverP[2]; //! matched track E cluster over P track vs cluster E, after dEdx cut, after and before photon cuts
	268	TH2F * fhEOverPTRD[2]; //! matched track E cluster over P track vs cluster E, after dEdx cut, after and before photon cuts, behind TRD
31ae6d59	269
09273901	270	AliAnaPhoton( const AliAnaPhoton & g) ; // cpy ctor
c5693f62	271	AliAnaPhoton & operator = (const AliAnaPhoton & g) ; // cpy assignment
c5693f62	272
bfdcf7fb	273	ClassDef(AliAnaPhoton,25)
6639984f	274
1c5acb87	275	} ;
1c5acb87	276
1c5acb87	277	#endif//ALIANAPHOTON_H
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