// dEdx analysis by: Boris Batyunya, JINR, Boris.Batiounia@cern.ch
//-------------------------------------------------------------------------
+/* $Id$ */
/*****************************************************************************
* December 18, 2000 *
#include <AliKalmanTrack.h>
-#include "AliITSrecoV2.h"
#include "AliITStrackV2.h"
class AliESDtrack;
//_____________________________________________________________________________
class AliITStrackMI : public AliITStrackV2 {
- friend class AliITStrackerV2;
- friend class AliITStrackerMI;
public:
AliITStrackMI();
- AliITStrackMI(AliESDtrack& t,Bool_t c=kFALSE) throw (const Char_t *);
+ AliITStrackMI(AliESDtrack& t,Bool_t c=kFALSE);
AliITStrackMI(const AliITStrackMI& t);
+ virtual ~AliITStrackMI() {if (fWinner) fWinner->fWinner = 0;} // release associated seed
Int_t GetProlongationFast(Double_t alpha, Double_t xr,Double_t &y, Double_t &z);
- Int_t UpdateMI(Double_t cy, Double_t cz, Double_t cerry, Double_t cerrz, Double_t chi2,UInt_t i);
- Int_t CorrectForMaterial(Double_t d, Double_t x0=21.82);
-
- void UpdateESDtrack(ULong_t flags);
+ Bool_t UpdateMI(const AliCluster *c, Double_t chi2, Int_t i);
void SetReconstructed(Bool_t sr=kTRUE){fReconstructed = sr;}
Bool_t GetReconstructed() const {return fReconstructed;}
Float_t GetChi2MIP(Int_t i) const {return fChi2MIP[i];}
void IncrementNSkipped(){fNSkipped++;} // increment by 1 the # of skipped cls
Float_t GetNSkipped() const {return fNSkipped;}
+ void SetNSkipped(Float_t n) {fNSkipped=n;}
void IncrementNUsed(){fNUsed++;} // increment by 1 the # of shared clusters
Float_t GetNUsed() const {return fNUsed;}
+ void SetNUsed(Float_t n) {fNUsed=n;}
Int_t Compare(const TObject *o) const;
- Double_t GetCov33() const {return fC33;} // cov. matrix el. 3,3
- Double_t GetCov44() const {return fC44;} // cov. matrix el. 4,4
+ Double_t GetCov33() const {return GetCovariance()[9];} // cov. matrix el. 3,3
+ //Double_t GetCov44() const {return GetCovariance()[15];}// cov. matrix el. 4,4
Float_t GetDy(Int_t i) const {return fDy[i];}
Float_t GetDz(Int_t i) const {return fDz[i];}
+ Float_t GetD(Int_t i) const {return fD[i];}
+ Double_t GetD(Double_t x, Double_t y) const
+ {return AliITStrackV2::GetD(x,y);}
+ Float_t *GetDP() {return fD;}
+ void SetD(Int_t i, Float_t d) {fD[i]=d;}
+ Float_t GetDnorm(Int_t i) const {return fDnorm[i];}
+ Float_t *GetDnormP() {return fDnorm;}
+ void SetDnorm(Int_t i, Float_t d) {fDnorm[i]=d;}
Float_t GetSigmaY(Int_t i) const {return fSigmaY[i];}
Float_t GetSigmaZ(Int_t i) const {return fSigmaZ[i];}
-
- Double_t GetPredictedChi2MI(Double_t cy, Double_t cz, Double_t cerry, Double_t cerrz) const;
-
+ Float_t GetSigmaYZ(Int_t i) const {return fSigmaYZ[i];}
+ void SetSigmaY(Int_t i, Float_t s) {fSigmaY[i]=s;}
+ void SetSigmaZ(Int_t i, Float_t s) {fSigmaZ[i]=s;}
+ void SetSigmaYZ(Int_t i, Float_t s) {fSigmaYZ[i]=s;}
+ Float_t GetNDeadZone() const {return fNDeadZone;}
+ void SetNDeadZone(Float_t d) {fNDeadZone=d;}
+ Int_t* ClIndex() {return fClIndex;}
+ Int_t GetClIndex(Int_t i) const {return fClIndex[i];}
+ void SetClIndex(Int_t i, Int_t c) {fClIndex[i]=c;}
+ Float_t GetNormChi2(Int_t i) const {return fNormChi2[i];}
+ void SetNormChi2(Int_t i, Float_t n) {fNormChi2[i]=n;}
+ Bool_t GetConstrain() const {return fConstrain;}
+ void SetConstrain(Bool_t c) {fConstrain=c;}
+ Float_t GetExpQ() const {return fExpQ;}
+ void SetExpQ(Float_t f) {fExpQ=f;}
+ Float_t GetNormQ(Int_t i) const {return fNormQ[i];}
+ void SetNormQ(Int_t i, Float_t q) {fNormQ[i]=q;}
+ Float_t GetdEdxMismatch() const {return fdEdxMismatch;}
+ void SetdEdxMismatch(Float_t m) {fdEdxMismatch=m;}
+ Float_t GetNy(Int_t i) const {return fNy[i];}
+ void SetNy(Int_t i, Float_t f) {fNy[i]=f;}
+ Float_t GetNz(Int_t i) const {return fNz[i];}
+ void SetNz(Int_t i, Float_t f) {fNz[i]=f;}
+ Bool_t GetGoldV0() const {return fGoldV0;}
+ void SetGoldV0(Bool_t g) {fGoldV0=g;}
+ Float_t GetChi22() const {return fChi22;}
+ void SetChi22(Float_t c) {fChi22=c;}
+ Float_t GetDeadZoneProbability(Int_t ilayer) const {return fDeadZoneProbability[ilayer];}
+ void SetDeadZoneProbability(Int_t ilayer,Float_t d) {fDeadZoneProbability[ilayer]=d;}
+ //
+ AliITStrackMI* GetWinner() const {return fWinner;}
+ void SetWinner(AliITStrackMI* p);
+ //
+ Double_t GetPredictedChi2MI(Double_t cy, Double_t cz, Double_t cerry, Double_t cerrz, Double_t covyz=0.) const;
+ Bool_t IsGoldPrimary();
protected:
Float_t fNUsed; // number of shared clusters
Float_t fNSkipped; // number of skipped clusters
Float_t fNDeadZone; // number of clusters in dead zone
- Float_t fDeadZoneProbability; // probability to cross dead zone
- Bool_t fReconstructed; // reconstructed - accepted flag
+ Float_t fDeadZoneProbability[6]; // probability to cross dead zone
+ Bool_t fReconstructed; // reconstructed - accepted flag
Float_t fChi2MIP[12]; // MIP chi squres
Float_t fDy[12]; //dy in layer
Float_t fDz[12]; //dz in layer
Float_t fSigmaY[12]; //sigma y
Float_t fSigmaZ[12]; //sigma z
+ Float_t fSigmaYZ[12]; //covariance of y and z
Float_t fNy[6]; //expected size of cluster
Float_t fNz[6]; //expected size of cluster
Float_t fD[2]; //distance to the vertex
+ Float_t fDnorm[2]; // normalized distance to the vertex
Float_t fNormQ[6]; // normalized Q
Float_t fExpQ; // expected Q
Float_t fNormChi2[6]; // normalized chi2
Float_t fdEdxMismatch;
Bool_t fConstrain; //indication of the vertex constrain
Int_t fClIndex[6]; //cluster Index
+ AliITStrackMI* fWinner; //! pointer on winner candidate
+ Bool_t fGoldV0; //corresponding gold V0 found
+ //
+ private:
+ AliITStrackMI &operator=(const AliITStrackMI &tr);
- ClassDef(AliITStrackMI,1) //ITS reconstructed track
+ ClassDef(AliITStrackMI,4) //ITS reconstructed track
};
+inline void AliITStrackMI::SetWinner(AliITStrackMI* p)
+{
+ // connect winning hypothesis with the seed
+ if (fWinner) fWinner->fWinner = 0; // release previous winner
+ fWinner = p;
+ if (p) p->fWinner = this;
+}
+
#endif