3 /* Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
4 * See cxx source for full Copyright notice */
6 //_________________________________________________________________________
8 // Class for the photon identification.
9 // Clusters from calorimeters are identified as photons
10 // and kept in the AOD. Few histograms produced.
11 // Produces input for other analysis classes like AliAnaPi0,
12 // AliAnaParticleHadronCorrelation ...
15 //-- Author: Gustavo Conesa (INFN-LNF)
17 // --- ROOT system ---
23 // --- ANALYSIS system ---
24 #include "AliAnaCaloTrackCorrBaseClass.h"
26 class AliAnaPhoton : public AliAnaCaloTrackCorrBaseClass {
29 AliAnaPhoton() ; // default ctor
30 virtual ~AliAnaPhoton() { ; } // virtual dtor
32 //---------------------------------------
33 // General analysis frame methods
34 //---------------------------------------
36 TObjString * GetAnalysisCuts();
38 TList * GetCreateOutputObjects();
42 void InitParameters();
44 void MakeAnalysisFillAOD() ;
46 void MakeAnalysisFillHistograms() ;
48 void Print(const Option_t * opt)const;
53 Bool_t ClusterSelected(AliVCluster* cl, Int_t nlm) ;
55 void FillAcceptanceHistograms();
57 void FillShowerShapeHistograms( AliVCluster* cluster, Int_t mcTag, Int_t maxCellEFraction) ;
59 void SwitchOnFillShowerShapeHistograms() { fFillSSHistograms = kTRUE ; }
60 void SwitchOffFillShowerShapeHistograms() { fFillSSHistograms = kFALSE ; }
62 void SwitchOnOnlySimpleSSHistoFill() { fFillOnlySimpleSSHisto = kTRUE ; }
63 void SwitchOffOnlySimpleHistoFill() { fFillOnlySimpleSSHisto = kFALSE ; }
65 void FillTrackMatchingResidualHistograms(AliVCluster* calo, Int_t cut);
67 void SwitchOnTMHistoFill() { fFillTMHisto = kTRUE ; }
68 void SwitchOffTMHistoFill() { fFillTMHisto = kFALSE ; }
70 void FillPileUpHistograms(AliVCluster* cluster, AliVCaloCells *cells, Int_t absIdMax) ;
72 // Analysis parameters setters getters
74 // ** Cluster selection methods **
76 void SetMinDistanceToBadChannel(Float_t m1, Float_t m2, Float_t m3) {
77 fMinDist = m1; fMinDist2 = m2; fMinDist3 = m3; }
79 void SetTimeCut(Double_t min, Double_t max) { fTimeCutMin = min;
81 Double_t GetTimeCutMin() const { return fTimeCutMin ; }
82 Double_t GetTimeCutMax() const { return fTimeCutMax ; }
84 void SetNCellCut(Int_t n) { fNCellsCut = n ; }
85 Double_t GetNCellCut() const { return fNCellsCut ; }
87 void SetNLMCut(Int_t min, Int_t max) { fNLMCutMin = min;
89 Int_t GetNLMCutMin() const { return fNLMCutMin ; }
90 Int_t GetNLMCutMax() const { return fNLMCutMax ; }
92 Bool_t IsTrackMatchRejectionOn() const { return fRejectTrackMatch ; }
93 void SwitchOnTrackMatchRejection() { fRejectTrackMatch = kTRUE ; }
94 void SwitchOffTrackMatchRejection() { fRejectTrackMatch = kFALSE ; }
96 void FillNOriginHistograms(Int_t n) { fNOriginHistograms = n ;
97 if(n > 14) fNOriginHistograms = 14; }
98 void FillNPrimaryHistograms(Int_t n) { fNPrimaryHistograms= n ;
99 if(n > 6) fNPrimaryHistograms = 6; }
101 // For histograms in arrays, index in the array, corresponding to a particle
102 enum mcTypes { kmcPhoton = 0, kmcPi0Decay = 1, kmcOtherDecay = 2,
103 kmcPi0 = 3, kmcEta = 4, kmcElectron = 5,
104 kmcConversion = 6, kmcOther = 7, kmcAntiNeutron = 8,
105 kmcAntiProton = 9, kmcPrompt = 10, kmcFragmentation = 11,
106 kmcISR = 12, kmcString = 13 };
108 enum mcPTypes { kmcPPhoton = 0, kmcPPi0Decay = 1, kmcPOtherDecay = 2,
109 kmcPPrompt = 3, kmcPFragmentation = 4, kmcPISR = 5 };
111 enum mcssTypes { kmcssPhoton = 0, kmcssOther = 1, kmcssPi0 = 2,
112 kmcssEta = 3, kmcssConversion = 4, kmcssElectron = 5 };
116 Float_t fMinDist ; // Minimal distance to bad channel to accept cluster
117 Float_t fMinDist2; // Cuts on Minimal distance to study acceptance evaluation
118 Float_t fMinDist3; // One more cut on distance used for acceptance-efficiency study
119 Bool_t fRejectTrackMatch ; // If PID on, reject clusters which have an associated TPC track
120 Bool_t fFillTMHisto; // Fill track matching plots
121 Double_t fTimeCutMin ; // Remove clusters/cells with time smaller than this value, in ns
122 Double_t fTimeCutMax ; // Remove clusters/cells with time larger than this value, in ns
123 Int_t fNCellsCut ; // Accept for the analysis clusters with more than fNCellsCut cells
124 Int_t fNLMCutMin ; // Remove clusters/cells with number of local maxima smaller than this value
125 Int_t fNLMCutMax ; // Remove clusters/cells with number of local maxima larger than this value
126 Bool_t fFillSSHistograms ; // Fill shower shape histograms
127 Bool_t fFillOnlySimpleSSHisto; // Fill selected cluster histograms, selected SS histograms
128 Int_t fNOriginHistograms; // Fill only NOriginHistograms of the 14 defined types
129 Int_t fNPrimaryHistograms; // Fill only NPrimaryHistograms of the 7 defined types
131 TLorentzVector fMomentum; //! Cluster momentum
132 TLorentzVector fPrimaryMom; //! Primary MC momentum
135 TH1F * fhClusterCutsE [10]; //! control histogram on the different photon selection cuts, E
136 TH1F * fhClusterCutsPt[10]; //! control histogram on the different photon selection cuts, pT
137 TH2F * fhNCellsE; //! number of cells in cluster vs E
138 TH2F * fhCellsE; //! energy of cells in cluster vs E of cluster
139 TH2F * fhMaxCellDiffClusterE; //! Fraction of energy carried by cell with maximum energy
140 TH2F * fhTimePt; //! time of photon cluster vs pt
141 TH2F * fhEtaPhi ; //! Pseudorapidity vs Phi of clusters for E > 0.5
143 TH1F * fhEPhoton ; //! Number of identified photon vs energy
144 TH1F * fhPtPhoton ; //! Number of identified photon vs transerse momentum
145 TH2F * fhPhiPhoton ; //! Azimuthal angle of identified photon vs transerse momentum
146 TH2F * fhEtaPhoton ; //! Pseudorapidity of identified photon vs transerse momentum
147 TH2F * fhEtaPhiPhoton ; //! Pseudorapidity vs Phi of identified photon for E > 0.5
148 TH2F * fhEtaPhi05Photon ; //! Pseudorapidity vs Phi of identified photon for E < 0.5
150 TH2F * fhPtCentralityPhoton ; //! centrality vs photon pT
151 TH2F * fhPtEventPlanePhoton ; //! event plane vs photon pT
154 TH2F * fhNLocMax; //! number of maxima in selected clusters
156 TH2F * fhDispE; //! cluster dispersion vs E
157 TH2F * fhLam0E; //! cluster lambda0 vs E
158 TH2F * fhLam1E; //! cluster lambda1 vs E
160 TH2F * fhDispETRD; //! cluster dispersion vs E, SM covered by TRD
161 TH2F * fhLam0ETRD; //! cluster lambda0 vs E, SM covered by TRD
162 TH2F * fhLam1ETRD; //! cluster lambda1 vs E, SM covered by TRD
164 TH2F * fhDispETM; //! cluster dispersion vs E, cut on Track Matching residual
165 TH2F * fhLam0ETM; //! cluster lambda0 vs E, cut on Track Matching residual
166 TH2F * fhLam1ETM; //! cluster lambda1 vs E, cut on Track Matching residual
168 TH2F * fhDispETMTRD; //! cluster dispersion vs E, SM covered by TRD, cut on Track Matching residual
169 TH2F * fhLam0ETMTRD; //! cluster lambda0 vs E, SM covered by TRD, cut on Track Matching residual
170 TH2F * fhLam1ETMTRD; //! cluster lambda1 vs E, SM covered by TRD, cut on Track Matching residual
172 TH2F * fhNCellsLam0LowE; //! number of cells in cluster vs lambda0
173 TH2F * fhNCellsLam1LowE; //! number of cells in cluster vs lambda1
174 TH2F * fhNCellsDispLowE; //! number of cells in cluster vs dispersion
175 TH2F * fhNCellsLam0HighE; //! number of cells in cluster vs lambda0, E>2
176 TH2F * fhNCellsLam1HighE; //! number of cells in cluster vs lambda1, E>2
177 TH2F * fhNCellsDispHighE; //! number of cells in cluster vs dispersion, E>2
179 TH2F * fhEtaLam0LowE; //! cluster eta vs lambda0, E<2
180 TH2F * fhPhiLam0LowE; //! cluster phi vs lambda0, E<2
181 TH2F * fhEtaLam0HighE; //! cluster eta vs lambda0, E>2
182 TH2F * fhPhiLam0HighE; //! cluster phi vs lambda0, E>2
183 TH2F * fhLam0DispLowE; //! cluster lambda0 vs dispersion, E<2
184 TH2F * fhLam0DispHighE; //! cluster lambda0 vs dispersion, E>2
185 TH2F * fhLam1Lam0LowE; //! cluster lambda1 vs lambda0, E<2
186 TH2F * fhLam1Lam0HighE; //! cluster lambda1 vs lambda0, E>2
187 TH2F * fhDispLam1LowE; //! cluster disp vs lambda1, E<2
188 TH2F * fhDispLam1HighE; //! cluster disp vs lambda1, E>2
190 TH2F * fhDispEtaE ; //! shower dispersion in eta direction
191 TH2F * fhDispPhiE ; //! shower dispersion in phi direction
192 TH2F * fhSumEtaE ; //! shower dispersion in eta direction
193 TH2F * fhSumPhiE ; //! shower dispersion in phi direction
194 TH2F * fhSumEtaPhiE ; //! shower dispersion in eta and phi direction
195 TH2F * fhDispEtaPhiDiffE ; //! shower dispersion eta - phi
196 TH2F * fhSphericityE ; //! shower sphericity in eta vs phi
197 TH2F * fhDispSumEtaDiffE ; //! difference of 2 eta dispersions
198 TH2F * fhDispSumPhiDiffE ; //! difference of 2 phi dispersions
199 TH2F * fhDispEtaDispPhi[7] ; //! shower dispersion in eta direction vs phi direction for 5 E bins [0-2],[2-4],[4-6],[6-10],[> 10]
200 TH2F * fhLambda0DispEta[7] ; //! shower shape correlation l0 vs disp eta
201 TH2F * fhLambda0DispPhi[7] ; //! shower shape correlation l0 vs disp phi
203 //Fill MC dependent histograms, Origin of this cluster is ...
205 TH2F * fhMCDeltaE[14] ; //! MC-Reco E distribution coming from MC particle
206 TH2F * fhMCDeltaPt[14] ; //! MC-Reco pT distribution coming from MC particle
207 TH2F * fhMC2E[14] ; //! E distribution, Reco vs MC coming from MC particle
208 TH2F * fhMC2Pt[14] ; //! pT distribution, Reco vs MC coming from MC particle
210 TH1F * fhMCE[14]; //! Number of identified photon vs cluster energy coming from MC particle
211 TH1F * fhMCPt[14]; //! Number of identified photon vs cluster pT coming from MC particle
212 TH2F * fhMCPhi[14]; //! Phi of identified photon coming from MC particle
213 TH2F * fhMCEta[14]; //! eta of identified photon coming from MC particle
215 TH1F * fhEPrimMC[7]; //! Number of generated photon vs energy
216 TH1F * fhPtPrimMC[7]; //! Number of generated photon vs pT
217 TH2F * fhPhiPrimMC[7]; //! Phi of generted photon
218 TH2F * fhYPrimMC[7]; //! Rapidity of generated photon
219 TH2F * fhEtaPrimMC[7]; //! Eta of generated photon
221 TH1F * fhEPrimMCAcc[7]; //! Number of generated photon vs energy, in calorimeter acceptance
222 TH1F * fhPtPrimMCAcc[7]; //! Number of generated photon vs pT, in calorimeter acceptance
223 TH2F * fhPhiPrimMCAcc[7]; //! Phi of generted photon, in calorimeter acceptance
224 TH2F * fhEtaPrimMCAcc[7]; //! Phi of generted photon, in calorimeter acceptance
225 TH2F * fhYPrimMCAcc[7]; //! Rapidity of generated photon, in calorimeter acceptance
228 TH2F * fhMCELambda0[6] ; //! E vs Lambda0 from MC particle
229 TH2F * fhMCELambda1[6] ; //! E vs Lambda1 from MC particle
230 TH2F * fhMCEDispersion[6] ; //! E vs Dispersion from MC particle
232 TH2F * fhMCPhotonELambda0NoOverlap ; //! E vs Lambda0 from MC photons, no overlap
233 TH2F * fhMCPhotonELambda0TwoOverlap ; //! E vs Lambda0 from MC photons, 2 particles overlap
234 TH2F * fhMCPhotonELambda0NOverlap ; //! E vs Lambda0 from MC photons, N particles overlap
236 TH2F * fhMCLambda0vsClusterMaxCellDiffE0[6]; //! Lambda0 vs fraction of energy of max cell for E < 2 GeV
237 TH2F * fhMCLambda0vsClusterMaxCellDiffE2[6]; //! Lambda0 vs fraction of energy of max cell for 2< E < 6 GeV
238 TH2F * fhMCLambda0vsClusterMaxCellDiffE6[6]; //! Lambda0 vs fraction of energy of max cell for E > 6 GeV
239 TH2F * fhMCNCellsvsClusterMaxCellDiffE0[6]; //! NCells vs fraction of energy of max cell for E < 2
240 TH2F * fhMCNCellsvsClusterMaxCellDiffE2[6]; //! NCells vs fraction of energy of max cell for 2 < E < 6 GeV
241 TH2F * fhMCNCellsvsClusterMaxCellDiffE6[6]; //! NCells vs fraction of energy of max cell for E > 6
242 TH2F * fhMCNCellsE[6]; //! NCells per cluster vs energy
243 TH2F * fhMCMaxCellDiffClusterE[6]; //! Fraction of energy carried by cell with maximum energy
245 TH2F * fhMCEDispEta[6] ; //! shower dispersion in eta direction
246 TH2F * fhMCEDispPhi[6] ; //! shower dispersion in phi direction
247 TH2F * fhMCESumEtaPhi[6] ; //! shower dispersion in eta vs phi direction
248 TH2F * fhMCEDispEtaPhiDiff[6] ; //! shower dispersion in eta -phi direction
249 TH2F * fhMCESphericity[6] ; //! shower sphericity, eta vs phi
250 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]
251 TH2F * fhMCLambda0DispEta[7][6] ; //! shower shape correlation l0 vs disp eta
252 TH2F * fhMCLambda0DispPhi[7][6] ; //! shower shape correlation l0 vs disp phi
255 TH2F * fhEmbeddedSignalFractionEnergy ; //! Fraction of photon energy of embedded signal vs cluster energy
257 TH2F * fhEmbedPhotonELambda0FullSignal ; //! Lambda0 vs E for embedded photons with more than 90% of the cluster energy
258 TH2F * fhEmbedPhotonELambda0MostlySignal ; //! Lambda0 vs E for embedded photons with 90%<fraction<50%
259 TH2F * fhEmbedPhotonELambda0MostlyBkg ; //! Lambda0 vs E for embedded photons with 50%<fraction<10%
260 TH2F * fhEmbedPhotonELambda0FullBkg ; //! Lambda0 vs E for embedded photons with less than 10% of the cluster energy
262 TH2F * fhEmbedPi0ELambda0FullSignal ; //! Lambda0 vs E for embedded photons with more than 90% of the cluster energy
263 TH2F * fhEmbedPi0ELambda0MostlySignal ; //! Lambda0 vs E for embedded photons with 90%<fraction<50%
264 TH2F * fhEmbedPi0ELambda0MostlyBkg ; //! Lambda0 vs E for embedded photons with 50%<fraction<10%
265 TH2F * fhEmbedPi0ELambda0FullBkg ; //! Lambda0 vs E for embedded photons with less than 10% of the cluster energy
268 TH2F * fhTrackMatchedDEta[2] ; //! Eta distance between track and cluster vs cluster E, after and before photon cuts
269 TH2F * fhTrackMatchedDPhi[2] ; //! Phi distance between track and cluster vs cluster E, after and before photon cuts
270 TH2F * fhTrackMatchedDEtaDPhi[2] ; //! Eta vs Phi distance between track and cluster, E cluster > 0.5 GeV, after and before
272 TH2F * fhTrackMatchedDEtaPos[2] ; //! Eta distance between track and cluster vs cluster E, after and before photon cuts
273 TH2F * fhTrackMatchedDPhiPos[2] ; //! Phi distance between track and cluster vs cluster E, after and before photon cuts
274 TH2F * fhTrackMatchedDEtaDPhiPos[2] ; //! Eta vs Phi distance between track and cluster, E cluster > 0.5 GeV, after and before
276 TH2F * fhTrackMatchedDEtaNeg[2] ; //! Eta distance between track and cluster vs cluster E, after and before photon cuts
277 TH2F * fhTrackMatchedDPhiNeg[2] ; //! Phi distance between track and cluster vs cluster E, after and before photon cuts
278 TH2F * fhTrackMatchedDEtaDPhiNeg[2] ; //! Eta vs Phi distance between track and cluster, E cluster > 0.5 GeV, after and before photon cuts
280 TH2F * fhTrackMatchedDEtaTRD[2] ; //! Eta distance between track and cluster vs cluster E, after and before photon cuts, behind TRD
281 TH2F * fhTrackMatchedDPhiTRD[2] ; //! Phi distance between track and cluster vs cluster E, after and before photon cuts, behind TRD
283 TH2F * fhTrackMatchedDEtaMCOverlap[2] ; //! Eta distance between track and cluster vs cluster E, several particle overlap, after and before photon cuts
284 TH2F * fhTrackMatchedDPhiMCOverlap[2] ; //! Phi distance between track and cluster vs cluster E, several particle overlap, after and before photon cuts
285 TH2F * fhTrackMatchedDEtaMCNoOverlap[2]; //! Eta distance between track and cluster vs cluster E, not other particle overlap, after and before photon cuts
286 TH2F * fhTrackMatchedDPhiMCNoOverlap[2]; //! Phi distance between track and cluster vs cluster E, not other particle overlap, after and before photon cuts
287 TH2F * fhTrackMatchedDEtaMCConversion[2]; //! Eta distance between track and cluster vs cluster E, originated in conversion, after and before photon cuts
288 TH2F * fhTrackMatchedDPhiMCConversion[2]; //! Phi distance between track and cluster vs cluster E, originated in conversion, after and before photon cuts
290 TH2F * fhTrackMatchedMCParticle[2]; //! Trace origin of matched particle
291 TH2F * fhdEdx[2]; //! matched track dEdx vs cluster E, after and before photon cuts
292 TH2F * fhEOverP[2]; //! matched track E cluster over P track vs cluster E, after dEdx cut, after and before photon cuts
293 TH2F * fhEOverPTRD[2]; //! matched track E cluster over P track vs cluster E, after dEdx cut, after and before photon cuts, behind TRD
296 TH1F * fhPtPhotonPileUp[7]; //! pT distribution of selected photons
297 TH2F * fhClusterTimeDiffPhotonPileUp[7]; //! E vs Time difference inside cluster for selected photons
298 TH2F * fhTimePtPhotonNoCut; //! time of photon cluster vs Pt, no cut
299 TH2F * fhTimePtPhotonSPD; //! time of photon cluster vs Pt, IsSPDPileUp
300 TH2F * fhTimeNPileUpVertSPD; //! time of cluster vs n pile-up vertices from SPD
301 TH2F * fhTimeNPileUpVertTrack; //! time of cluster vs n pile-up vertices from Tracks
303 TH2F * fhPtPhotonNPileUpSPDVtx; //! photon pt vs number of spd pile-up vertices
304 TH2F * fhPtPhotonNPileUpTrkVtx; //! photon pt vs number of track pile-up vertices
305 TH2F * fhPtPhotonNPileUpSPDVtxTimeCut; //! photon pt vs number of spd pile-up vertices, time cut +-25 ns
306 TH2F * fhPtPhotonNPileUpTrkVtxTimeCut; //! photon pt vs number of track pile-up vertices, time cut +- 25 ns
307 TH2F * fhPtPhotonNPileUpSPDVtxTimeCut2; //! photon pt vs number of spd pile-up vertices, time cut +-75 ns
308 TH2F * fhPtPhotonNPileUpTrkVtxTimeCut2; //! photon pt vs number of track pile-up vertices, time cut +- 75 ns
310 TH2F * fhEClusterSM ; //! cluster E distribution per SM, before any selection, after reader
311 TH2F * fhEPhotonSM ; //! photon-like cluster E distribution per SM
312 TH2F * fhPtClusterSM; //! cluster E distribution per SM, before any selection, after reader
313 TH2F * fhPtPhotonSM ; //! photon-like cluster E distribution per SM
315 AliAnaPhoton( const AliAnaPhoton & g) ; // cpy ctor
316 AliAnaPhoton & operator = (const AliAnaPhoton & g) ; // cpy assignment
318 ClassDef(AliAnaPhoton,38)
322 #endif//ALIANAPHOTON_H