4 /////////////////////////////////////////////////////////////////////////
5 //Class for PID in the ITS //
6 //The PID is based on the likelihood of all the four ITS' layers, //
7 //without using the truncated mean for the dE/dx. The response //
8 //functions for each layer are convoluted Landau-Gaussian functions. //
9 // Origin: Elena Bruna bruna@to.infn.it, Massimo Masera masera@to.infn.it//
10 ////////////////////////////////////////////////////////////////////////
16 class AliITSPidParItem;
17 class AliITSPident : public TObject{
21 AliITSPident(Double_t mom,AliITSSteerPid *sp,Float_t *Qlay,Float_t *nlay,Float_t priorip=0.066,Float_t priorik=0.103,Float_t prioripi=0.83,Float_t priorie=0.001);
23 AliITSPident(AliESDtrack *track,AliITSSteerPid *sp,Float_t *Qlay,Float_t *nlay,Float_t priorip=0.066,Float_t priorik=0.103,Float_t prioripi=0.83,Float_t priorie=0.001);
25 virtual ~AliITSPident();
26 Float_t GetP() const {return fMom;}//local momentum (GeV/c)
27 Double_t GetCondFunPro(Int_t lay) const {
28 return fCondFunProLay[lay];
30 Double_t GetProdCondFunPro() const;
31 Double_t GetCondFunK(Int_t lay) const {
32 return fCondFunKLay[lay];
34 Double_t GetProdCondFunK() const;
35 Double_t GetCondFunPi(Int_t lay) const {
36 return fCondFunPiLay[lay];
38 Double_t GetProdCondFunPi() const;
39 void PrintParameters() const;
40 Float_t GetPBayesp()const {return fPBayesp;}
41 Float_t GetPBayesk()const {return fPBayesk;}
42 Float_t GetPBayespi()const {return fPBayespi;}
43 Float_t GetPPriorip() const {return fPPriorip;}
44 Float_t GetPPriorik() const {return fPPriorik;}
45 Float_t GetPPrioripi() const {return fPPrioripi;}
46 Float_t GetPPriorie() const {return fPPriorie;}
47 void GetNclsPerLayer(Int_t *ncls) const;
48 static Double_t Langaufun(Double_t *x, Double_t *par);
49 static Double_t Langaufun2(Double_t *x, Double_t *par);
50 static Double_t Langaufunnorm(Double_t *x, Double_t *par);
51 static Double_t Gaus2(Double_t *x, Double_t *par);
55 void CookFunItsLay(Int_t lay,Int_t opt,Double_t *par,Double_t dedx,Double_t mom,Double_t rangei,Double_t rangef,TString comment);
56 void CookBayes(Double_t *condfun,Float_t *prior);
57 Float_t CookCombinedBayes(Double_t condfun[][3],Float_t *prior,Int_t part)const;
58 Float_t CookProd(Double_t condfun[][3],Int_t part) const;
59 Float_t CookSum(Double_t condfun[][3],Float_t *prior) const;
60 AliITSPident(const AliITSPident &ob); // copy constructor
61 AliITSPident& operator=(const AliITSPident & ob); // ass. op.
63 Float_t fMom; // Particle momentum
64 Double_t fCondFunProLay[8]; // one for each silicon layer
65 Double_t fCondFunKLay[8]; // cond. prob. function kaons per layer
66 Double_t fCondFunPiLay[8]; // cond. prob. function pions per layer
67 Float_t fPBayesp; // Bayes prob.
68 Float_t fPBayesk; // Bayes prob. for kaons
69 Float_t fPBayespi; // Bayes prob. for pions
70 Float_t fPPriorip; // Priori prob.
71 Float_t fPPriorik; // Priori prob. for kaons
72 Float_t fPPrioripi; // Priori prob. for pions
73 Float_t fPPriorie; // Priori prob. for electrons
74 Int_t fNcls[4]; // N. of clusters per layer (sdd1,sdd2,ssd1,ssd2)
75 ClassDef(AliITSPident,3);