1 #ifndef AliFlowBayesianPID_h
2 #define AliFlowBayesianPID_h
6 #include "AliPIDResponse.h"
20 1) in your main program:
22 AliFlowBayesianPID *mypid = new AliFlowBayesianPID();
24 or (if you want a global AliESDpid object)
26 AliESDpid *PIDesd = new AliESDpid();
28 gROOT->LoadMacro("AliFlowBayesianPID.cxx++g");
29 AliFlowBayesianPID *mypid = new AliFlowBayesianPID(PIDesd);
31 for data starting from the PbPb pass2 reconstruction
33 mypid->SetNewTrackParam();
36 2) pass the pointer to your task
39 mypid->SetDetResponse(esdEvent, centrality,AliESDpid::kTOF_T0,kFALSE); // centrality = PbPb centrality class (0-100%) or -1 for pp collisions
40 for(...){ // track loop
41 mypid->ComputeProb(track,centrality);
42 Float_t *prob = mypid->GetProb(); // Bayesian Probability (from 0 to 4) (Combined TPC || TOF) including a tuning of priors and TOF mismatch parameterization
44 // for the single detector weights (no priors)
45 Float_t *tpcWeight = mypid->GetWeights(0); // TPC weights (equal weights in case of no kTPCpid)
46 Float_t *tofWeight = mypid->GetWeights(1); // TOF weights (equal weights in case of no kTOFpid)
49 TSpline3 *mismatchShape = mypid->GetMismatch(); // time distribution of mismatched tracks - L/c (L is the distance of the pad from the PV)
50 TF1 *tpcprob = mypid->GetTPCprob(); // normalized TPC response function (in Nsigmas)
51 TF1 *tofprob = mypid->GetTOFprob(); // normalized TOF response function (in Nsigmas)
53 TH2D *hPr = mypid->GetHistoPriors(isp); // 2D (centrality - pT) histo for the priors of specie-isp (centrality < 0 means pp collisions)
54 // all the priors are normalized to the pion ones
60 class AliFlowBayesianPID : public AliPIDResponse {
62 AliFlowBayesianPID(AliESDpid *esdpid=NULL);
63 virtual ~AliFlowBayesianPID();
65 // virtual method of AliPIDResponse
66 virtual Float_t NumberOfSigmasTOF(const AliVParticle *vtrack, AliPID::EParticleType type) const {if(vtrack) printf("Don't call AliFlowBayesianPID::NumberOfSigmasTOF method (%i)\n",type); return 0.0;} // do not use it
69 void SetMC(Bool_t flag = kTRUE){fIsMC=flag;} // actually do nothing
70 void SetDetResponse(AliESDEvent *esd,Float_t centrality=-1.0,EStartTimeType_t flagStart=AliESDpid::kTOF_T0,Bool_t recomputeT0TOF=kFALSE);
71 void SetNewTrackParam(Bool_t flag=kTRUE){fNewTrackParam=flag;};
72 void SetDetAND(Int_t idet){if(idet < fNdetectors && idet >= 0) fMaskAND[idet] = kTRUE;};
73 void SetDetOR(Int_t idet){if(idet < fNdetectors && idet >= 0) fMaskOR[idet] = kTRUE;};
74 void ResetDetAND(Int_t idet){if(idet < fNdetectors && idet >= 0) fMaskAND[idet] = kFALSE;};
75 void ResetDetOR(Int_t idet){if(idet < fNdetectors && idet >= 0) fMaskOR[idet] = kFALSE;};
78 AliESDpid* GetESDpid(){return fPIDesd;};
79 TH2D *GetHistoPriors(Int_t specie){if(specie >=0 && specie < fNspecies) return hPriors[specie]; else return NULL;};
80 TSpline3 *GetMismatch();
81 TF1 *GetTOFprob(){return fTOFResponse;};
82 TF1 *GetTPCprob(){return fTPCResponse;};
83 Float_t *GetWeights(Int_t det){if(det < fNdetectors && det >= 0){return fWeights[det];} else{return NULL;}};
84 Float_t *GetProb(){return fProb;};
85 Float_t GetTOFMismWeight(){return fWTofMism;};
86 Float_t GetTOFMismProb(){return fProbTofMism;};
87 Float_t GetMassOverZ(){return fMassTOF;};
88 Float_t GetZ(){return fZ;};
89 Bool_t GetDetANDstatus(Int_t idet){if(idet < fNdetectors && idet >= 0){return fMaskAND[idet];} else{return kFALSE;} };
90 Bool_t GetDetORstatus(Int_t idet){if(idet < fNdetectors && idet >= 0){return fMaskOR[idet];} else{return kFALSE;} };
91 Bool_t GetCurrentMask(Int_t idet){if(idet < fNdetectors && idet >= 0){return fMaskCurrent[idet];} else{return kFALSE;} };
92 Float_t GetExpDeDx(const AliESDtrack *t,Int_t iS);
94 // methods for Bayesina Combined PID
95 void ComputeWeights(const AliESDtrack *t);
96 void ComputeProb(const AliESDtrack *t,Float_t); // obsolete method
97 void ComputeProb(const AliESDtrack *t){ComputeProb(t,0.0);};
99 void SetTOFres(Float_t res){fTOFres=res;};
104 static const Int_t fNdetectors = 2;
105 static const Int_t fNspecies = 8;// 0=el, 1=mu, 2=pi, 3=ka, 4=pr, 5=deuteron, 6=triton, 7=He3
106 static TH2D* hPriors[fNspecies]; // histo with priors (hardcoded)
107 static TSpline3 *fMism; // function for mismatch
108 static AliTOFGeometry *fTofGeo; // TOF geometry needed to reproduce mismatch shape
110 AliESDpid *fPIDesd;//ESDpid object
111 TDatabasePDG *fDB; // Database pdg
112 Double_t fMass[fNspecies]; // mass for el(0),mu(1),pi(2),K(3),p(4)
114 Bool_t fNewTrackParam; // switch for new tracking resolution TOF parameterization
115 Bool_t fIsMC; // switch if MC data
116 Float_t fTOFres; // TOF res needed only if T0-TOF should be recomputed
118 AliFlowBayesianPID(const AliFlowBayesianPID&); // not implemented
119 AliFlowBayesianPID& operator=(const AliFlowBayesianPID&); // not implemented
121 TF1 *fTOFResponse; // TOF Gaussian+tail response function (tail at 1.1 sigma)
122 TF1 *fTPCResponse; // TPC Gaussian+tail response function (tail at 1.8 sigma)
124 AliTOFT0maker *fTOFmaker; //TOF-T0 maker object
126 Float_t fWeights[fNdetectors][fNspecies]; // weights: 0=tpc,1=tof
127 Float_t fProb[fNspecies],fWTofMism,fProbTofMism; // Bayesian Combined PID + mismatch weights and probability
129 Float_t fZ,fMassTOF; //measured charge(Z) and mass/Z
130 TF1 *fBBdata; // Bethe Bloch function (needed to compute the charge of the particle)
132 Bool_t fMaskAND[fNdetectors],fMaskOR[fNdetectors],fMaskCurrent[fNdetectors]; // mask detector should be used
134 Float_t fCurrCentrality; // Centrality in current event
136 ClassDef(AliFlowBayesianPID, 4); // example of analysis