3 /* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
4 * See cxx source for full Copyright notice */
5 /* $Id: AliAnaPhoton.h 27413 2008-07-18 13:28:12Z gconesab $ */
7 //_________________________________________________________________________
9 // Class for the photon identification.
10 // Clusters from calorimeters are identified as photons
11 // and kept in the AOD. Few histograms produced.
12 // Produces input for other analysis classes like AliAnaPi0,
13 // AliAnaParticleHadronCorrelation ...
16 //-- Author: Gustavo Conesa (INFN-LNF)
18 // --- ROOT system ---
25 // --- ANALYSIS system ---
26 #include "AliAnaPartCorrBaseClass.h"
28 class AliAnaPhoton : public AliAnaPartCorrBaseClass {
31 AliAnaPhoton() ; // default ctor
32 virtual ~AliAnaPhoton() { ; } // virtual dtor
34 //---------------------------------------
35 // General analysis frame methods
36 //---------------------------------------
38 TObjString * GetAnalysisCuts();
40 TList * GetCreateOutputObjects();
44 void InitParameters();
46 void MakeAnalysisFillAOD() ;
48 void MakeAnalysisFillHistograms() ;
50 void Print(const Option_t * opt)const;
55 Bool_t ClusterSelected(AliVCluster* cl, TLorentzVector mom) ;
57 void FillAcceptanceHistograms();
59 void FillShowerShapeHistograms( AliVCluster* cluster, const Int_t mcTag) ;
61 void SwitchOnFillShowerShapeHistograms() { fFillSSHistograms = kTRUE ; }
62 void SwitchOffFillShowerShapeHistograms() { fFillSSHistograms = kFALSE ; }
65 // Analysis parameters setters getters
67 TString GetCalorimeter() const { return fCalorimeter ; }
68 void SetCalorimeter(TString & det) { fCalorimeter = det ; }
70 // ** Cluster selection methods **
72 void SetMinDistanceToBadChannel(Float_t m1, Float_t m2, Float_t m3) {
73 fMinDist = m1; fMinDist2 = m2; fMinDist3 = m3; }
75 void SetTimeCut(Double_t min, Double_t max) { fTimeCutMin = min;
77 Double_t GetTimeCutMin() const { return fTimeCutMin ; }
78 Double_t GetTimeCutMax() const { return fTimeCutMax ; }
80 void SetNCellCut(Int_t n) { fNCellsCut = n ; }
81 Double_t GetNCellCut() const { return fNCellsCut ; }
83 Bool_t IsTrackMatchRejectionOn() const { return fRejectTrackMatch ; }
84 void SwitchOnTrackMatchRejection() { fRejectTrackMatch = kTRUE ; }
85 void SwitchOffTrackMatchRejection() { fRejectTrackMatch = kFALSE ; }
87 void FillNOriginHistograms(Int_t n) { fNOriginHistograms = n ;
88 if(n > 14) fNOriginHistograms = 14; }
89 void FillNPrimaryHistograms(Int_t n) { fNPrimaryHistograms= n ;
90 if(n > 7) fNPrimaryHistograms = 7; }
92 // For histograms in arrays, index in the array, corresponding to a particle
93 enum mcTypes { kmcPhoton = 0, kmcPi0Decay = 1, kmcOtherDecay = 2,
94 kmcPi0 = 3, kmcEta = 4, kmcElectron = 5,
95 kmcConversion = 6, kmcOther = 7, kmcAntiNeutron = 8,
96 kmcAntiProton = 9, kmcPrompt = 10, kmcFragmentation = 11,
97 kmcISR = 12, kmcString = 13 };
99 enum mcPTypes { kmcPPhoton = 0, kmcPPi0Decay = 1, kmcPOtherDecay = 2, kmcPOther = 3,
100 kmcPPrompt = 4, kmcPFragmentation = 5, kmcPISR = 6 };
102 enum mcssTypes { kmcssPhoton = 0, kmcssOther = 1, kmcssPi0 = 2,
103 kmcssEta = 3, kmcssConversion = 4, kmcssElectron = 5 };
107 TString fCalorimeter ; // Calorimeter where the gamma is searched;
108 Float_t fMinDist ; // Minimal distance to bad channel to accept cluster
109 Float_t fMinDist2; // Cuts on Minimal distance to study acceptance evaluation
110 Float_t fMinDist3; // One more cut on distance used for acceptance-efficiency study
111 Bool_t fRejectTrackMatch ; // If PID on, reject clusters which have an associated TPC track
112 Double_t fTimeCutMin ; // Remove clusters/cells with time smaller than this value, in ns
113 Double_t fTimeCutMax ; // Remove clusters/cells with time larger than this value, in ns
114 Int_t fNCellsCut ; // Accept for the analysis clusters with more than fNCellsCut cells
115 Bool_t fFillSSHistograms ; // Fill shower shape histograms
116 Int_t fNOriginHistograms; // Fill only NOriginHistograms of the 14 defined types
117 Int_t fNPrimaryHistograms; // Fill only NPrimaryHistograms of the 7 defined types
120 TH1F * fhClusterCuts[9]; //! control histogram on the different photon selection cuts
121 TH2F * fhNCellsE; //! number of cells in cluster vs E
122 TH2F * fhMaxCellDiffClusterE; //! Fraction of energy carried by cell with maximum energy
123 TH2F * fhTimeE; //! time of cluster vs E
125 TH1F * fhEPhoton ; //! Number of identified photon vs energy
126 TH1F * fhPtPhoton ; //! Number of identified photon vs transerse momentum
127 TH2F * fhPhiPhoton ; //! Azimuthal angle of identified photon vs transerse momentum
128 TH2F * fhEtaPhoton ; //! Pseudorapidity of identified photon vs transerse momentum
129 TH2F * fhEtaPhiPhoton ; //! Pseudorapidity vs Phi of identified photon for transerse momentum > 0.5
130 TH2F * fhEtaPhi05Photon ; //! Pseudorapidity vs Phi of identified photon for transerse momentum < 0.5
134 TH2F * fhDispE; //! cluster dispersion vs E
135 TH2F * fhLam0E; //! cluster lambda0 vs E
136 TH2F * fhLam1E; //! cluster lambda1 vs E
138 TH2F * fhDispETRD; //! cluster dispersion vs E, SM covered by TRD
139 TH2F * fhLam0ETRD; //! cluster lambda0 vs E, SM covered by TRD
140 TH2F * fhLam1ETRD; //! cluster lambda1 vs E, SM covered by TRD
142 TH2F * fhNCellsLam0LowE; //! number of cells in cluster vs lambda0
143 TH2F * fhNCellsLam1LowE; //! number of cells in cluster vs lambda1
144 TH2F * fhNCellsDispLowE; //! number of cells in cluster vs dispersion
145 TH2F * fhNCellsLam0HighE; //! number of cells in cluster vs lambda0, E>2
146 TH2F * fhNCellsLam1HighE; //! number of cells in cluster vs lambda1, E>2
147 TH2F * fhNCellsDispHighE; //! number of cells in cluster vs dispersion, E>2
149 TH2F * fhEtaLam0LowE; //! cluster eta vs lambda0, E<2
150 TH2F * fhPhiLam0LowE; //! cluster phi vs lambda0, E<2
151 TH2F * fhEtaLam0HighE; //! cluster eta vs lambda0, E>2
152 TH2F * fhPhiLam0HighE; //! cluster phi vs lambda0, E>2
153 TH2F * fhLam0DispLowE; //! cluster lambda0 vs dispersion, E<2
154 TH2F * fhLam0DispHighE; //! cluster lambda0 vs dispersion, E>2
155 TH2F * fhLam1Lam0LowE; //! cluster lambda1 vs lambda0, E<2
156 TH2F * fhLam1Lam0HighE; //! cluster lambda1 vs lambda0, E>2
157 TH2F * fhDispLam1LowE; //! cluster disp vs lambda1, E<2
158 TH2F * fhDispLam1HighE; //! cluster disp vs lambda1, E>2
160 //Fill MC dependent histograms, Origin of this cluster is ...
162 TH2F * fhMCDeltaE[14] ; //! MC-Reco E distribution coming from MC particle
163 TH2F * fhMCDeltaPt[14] ; //! MC-Reco pT distribution coming from MC particle
164 TH2F * fhMC2E[14] ; //! E distribution, Reco vs MC coming from MC particle
165 TH2F * fhMC2Pt[14] ; //! pT distribution, Reco vs MC coming from MC particle
167 TH1F * fhMCE[14]; //! Number of identified photon vs cluster energy coming from MC particle
168 TH1F * fhMCPt[14]; //! Number of identified photon vs cluster pT coming from MC particle
169 TH2F * fhMCPhi[14]; //! Phi of identified photon coming from MC particle
170 TH2F * fhMCEta[14]; //! eta of identified photon coming from MC particle
172 TH1F * fhEPrimMC[7]; //! Number of generated photon vs energy
173 TH1F * fhPtPrimMC[7]; //! Number of generated photon vs pT
174 TH2F * fhPhiPrimMC[7]; //! Phi of generted photon
175 TH2F * fhYPrimMC[7]; //! Rapidity of generated photon
177 TH1F * fhEPrimMCAcc[7]; //! Number of generated photon vs energy, in calorimeter acceptance
178 TH1F * fhPtPrimMCAcc[7]; //! Number of generated photon vs pT, in calorimeter acceptance
179 TH2F * fhPhiPrimMCAcc[7]; //! Phi of generted photon, in calorimeter acceptance
180 TH2F * fhYPrimMCAcc[7]; //! Rapidity of generated photon, in calorimeter acceptance
184 TH2F * fhMCELambda0[6] ; //! E vs Lambda0 from MC particle
185 TH2F * fhMCELambda1[6] ; //! E vs Lambda1 from MC particle
186 TH2F * fhMCEDispersion[6] ; //! E vs Dispersion from MC particle
188 TH2F * fhMCPhotonELambda0NoOverlap ; //! E vs Lambda0 from MC photons, no overlap
189 TH2F * fhMCPhotonELambda0TwoOverlap ; //! E vs Lambda0 from MC photons, 2 particles overlap
190 TH2F * fhMCPhotonELambda0NOverlap ; //! E vs Lambda0 from MC photons, N particles overlap
192 TH2F * fhMCLambda0vsClusterMaxCellDiffE0[6]; //! Lambda0 vs fraction of energy of max cell for E < 2 GeV
193 TH2F * fhMCLambda0vsClusterMaxCellDiffE2[6]; //! Lambda0 vs fraction of energy of max cell for 2< E < 6 GeV
194 TH2F * fhMCLambda0vsClusterMaxCellDiffE6[6]; //! Lambda0 vs fraction of energy of max cell for E > 6 GeV
195 TH2F * fhMCNCellsvsClusterMaxCellDiffE0[6]; //! NCells vs fraction of energy of max cell for E < 2
196 TH2F * fhMCNCellsvsClusterMaxCellDiffE2[6]; //! NCells vs fraction of energy of max cell for 2 < E < 6 GeV
197 TH2F * fhMCNCellsvsClusterMaxCellDiffE6[6]; //! NCells vs fraction of energy of max cell for E > 6
198 TH2F * fhMCNCellsE[6]; //! NCells per cluster vs energy
199 TH2F * fhMCMaxCellDiffClusterE[6]; //! Fraction of energy carried by cell with maximum energy
202 TH2F * fhEmbeddedSignalFractionEnergy ; //! Fraction of photon energy of embedded signal vs cluster energy
204 TH2F * fhEmbedPhotonELambda0FullSignal ; //! Lambda0 vs E for embedded photons with more than 90% of the cluster energy
205 TH2F * fhEmbedPhotonELambda0MostlySignal ; //! Lambda0 vs E for embedded photons with 90%<fraction<50%
206 TH2F * fhEmbedPhotonELambda0MostlyBkg ; //! Lambda0 vs E for embedded photons with 50%<fraction<10%
207 TH2F * fhEmbedPhotonELambda0FullBkg ; //! Lambda0 vs E for embedded photons with less than 10% of the cluster energy
209 TH2F * fhEmbedPi0ELambda0FullSignal ; //! Lambda0 vs E for embedded photons with more than 90% of the cluster energy
210 TH2F * fhEmbedPi0ELambda0MostlySignal ; //! Lambda0 vs E for embedded photons with 90%<fraction<50%
211 TH2F * fhEmbedPi0ELambda0MostlyBkg ; //! Lambda0 vs E for embedded photons with 50%<fraction<10%
212 TH2F * fhEmbedPi0ELambda0FullBkg ; //! Lambda0 vs E for embedded photons with less than 10% of the cluster energy
214 AliAnaPhoton(const AliAnaPhoton & g) ; // cpy ctor
215 AliAnaPhoton & operator = (const AliAnaPhoton & g) ; // cpy assignment
217 ClassDef(AliAnaPhoton,19)
221 #endif//ALIANAPHOTON_H