//-----------------------------------------------------------------
+//
// Implementation of the TPC seed class
// This class is used by the AliTPCtrackerMI class
// Origin: Marian Ivanov, CERN, Marian.Ivanov@cern.ch
//-----------------------------------------------------------------
#include "TClonesArray.h"
+#include "TGraphErrors.h"
#include "AliTPCseed.h"
+#include "AliTPCReconstructor.h"
+#include "AliTPCClusterParam.h"
+#include "AliTPCCalPad.h"
+#include "AliTPCCalROC.h"
+#include "AliTPCcalibDB.h"
+#include "AliTPCParam.h"
+#include "AliMathBase.h"
+#include "AliTPCTransform.h"
+#include "AliSplineFit.h"
+#include "AliCDBManager.h"
+#include "AliTPCcalibDButil.h"
+
ClassImp(AliTPCseed)
-AliTPCseed::AliTPCseed():AliTPCtrack(){
+AliTPCseed::AliTPCseed():
+ AliTPCtrack(),
+ fEsd(0x0),
+ fClusterOwner(kFALSE),
+ fRow(0),
+ fSector(-1),
+ fRelativeSector(-1),
+ fCurrentSigmaY2(1e10),
+ fCurrentSigmaZ2(1e10),
+ fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
+ fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
+ fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
+ fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
+ //
+ fErrorY2(1e10),
+ fErrorZ2(1e10),
+ fCurrentCluster(0x0),
+ fCurrentClusterIndex1(-1),
+ fInDead(kFALSE),
+ fIsSeeding(kFALSE),
+ fNoCluster(0),
+ fSort(0),
+ fBSigned(kFALSE),
+ fSeedType(0),
+ fSeed1(-1),
+ fSeed2(-1),
+ fMAngular(0),
+ fCircular(0),
+ fPoolID(-1)
+{
//
- fRow=0;
- fRemoval =0;
- for (Int_t i=0;i<200;i++) SetClusterIndex2(i,-3);
+ for (Int_t i=0;i<160;i++) SetClusterIndex2(i,-3);
for (Int_t i=0;i<160;i++) fClusterPointer[i]=0;
for (Int_t i=0;i<3;i++) fKinkIndexes[i]=0;
- for (Int_t i=0;i<5;i++) fTPCr[i]=0.2;
- fPoints = 0;
- fEPoints = 0;
- fNFoundable =0;
- fNShared =0;
- fRemoval = 0;
- fSort =0;
- fFirstPoint =0;
- fNoCluster =0;
- fBSigned = kFALSE;
- fSeed1 =-1;
- fSeed2 =-1;
- fCurrentCluster =0;
- fCurrentSigmaY2=0;
- fCurrentSigmaZ2=0;
- fCircular = 0; // not curling track
+ for (Int_t i=0;i<AliPID::kSPECIES;i++) fTPCr[i]=0.2;
+ for (Int_t i=0;i<4;i++) {
+ fDEDX[i] = 0.;
+ fSDEDX[i] = 1e10;
+ fNCDEDX[i] = 0;
+ fNCDEDXInclThres[i] = 0;
+ }
+ fDEDX[4] = 0;
+ for (Int_t i=0;i<12;i++) fOverlapLabels[i] = -1;
}
-AliTPCseed::AliTPCseed(const AliTPCseed &s):AliTPCtrack(s){
+
+AliTPCseed::AliTPCseed(const AliTPCseed &s, Bool_t clusterOwner):
+ AliTPCtrack(s),
+ fEsd(0x0),
+ fClusterOwner(clusterOwner),
+ fRow(0),
+ fSector(-1),
+ fRelativeSector(-1),
+ fCurrentSigmaY2(-1),
+ fCurrentSigmaZ2(-1),
+ fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
+ fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
+ fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
+ fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
+ fErrorY2(1e10),
+ fErrorZ2(1e10),
+ fCurrentCluster(0x0),
+ fCurrentClusterIndex1(-1),
+ fInDead(kFALSE),
+ fIsSeeding(kFALSE),
+ fNoCluster(0),
+ fSort(0),
+ fBSigned(kFALSE),
+ fSeedType(0),
+ fSeed1(-1),
+ fSeed2(-1),
+ fMAngular(0),
+ fCircular(0),
+ fPoolID(-1)
+{
//---------------------
// dummy copy constructor
//-------------------------
- for (Int_t i=0;i<160;i++) fClusterPointer[i] = s.fClusterPointer[i];
+ for (Int_t i=0;i<160;i++) {
+ fClusterPointer[i]=0;
+ if (fClusterOwner){
+ if (s.fClusterPointer[i])
+ fClusterPointer[i] = new AliTPCclusterMI(*(s.fClusterPointer[i]));
+ }else{
+ fClusterPointer[i] = s.fClusterPointer[i];
+ }
+ fTrackPoints[i] = s.fTrackPoints[i];
+ }
for (Int_t i=0;i<160;i++) fIndex[i] = s.fIndex[i];
+ for (Int_t i=0;i<AliPID::kSPECIES;i++) fTPCr[i]=s.fTPCr[i];
+ for (Int_t i=0;i<4;i++) {
+ fDEDX[i] = s.fDEDX[i];
+ fSDEDX[i] = s.fSDEDX[i];
+ fNCDEDX[i] = s.fNCDEDX[i];
+ fNCDEDXInclThres[i] = s.fNCDEDXInclThres[i];
+ }
+ fDEDX[4] = s.fDEDX[4];
+ for (Int_t i=0;i<12;i++) fOverlapLabels[i] = s.fOverlapLabels[i];
- fPoints = 0;
- fEPoints = 0;
- fCircular =0;
}
-AliTPCseed::AliTPCseed(const AliTPCtrack &t):AliTPCtrack(t){
- //
- //copy constructor
- fPoints = 0;
- fEPoints = 0;
- fNShared =0;
- // fTrackPoints =0;
- fRemoval =0;
- fSort =0;
- for (Int_t i=0;i<3;i++) fKinkIndexes[i]=t.GetKinkIndex(i);
+
+
+AliTPCseed::AliTPCseed(const AliTPCtrack &t):
+ AliTPCtrack(t),
+ fEsd(0x0),
+ fClusterOwner(kFALSE),
+ fRow(0),
+ fSector(-1),
+ fRelativeSector(-1),
+ fCurrentSigmaY2(-1),
+ fCurrentSigmaZ2(-1),
+ fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
+ fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
+ fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
+ fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
+ fErrorY2(1e10),
+ fErrorZ2(1e10),
+ fCurrentCluster(0x0),
+ fCurrentClusterIndex1(-1),
+ fInDead(kFALSE),
+ fIsSeeding(kFALSE),
+ fNoCluster(0),
+ fSort(0),
+ fBSigned(kFALSE),
+ fSeedType(0),
+ fSeed1(-1),
+ fSeed2(-1),
+ fMAngular(0),
+ fCircular(0),
+ fPoolID(-1)
+{
+ //
+ // Constructor from AliTPCtrack
+ //
+ fFirstPoint =0;
for (Int_t i=0;i<5;i++) fTPCr[i]=0.2;
for (Int_t i=0;i<160;i++) {
fClusterPointer[i] = 0;
SetClusterIndex2(i,-3);
}
}
- fFirstPoint =0;
- fNoCluster =0;
- fBSigned = kFALSE;
- fSeed1 =-1;
- fSeed2 =-1;
- fCurrentCluster =0;
- fCurrentSigmaY2=0;
- fCurrentSigmaZ2=0;
- fCircular =0;
+ for (Int_t i=0;i<4;i++) {
+ fDEDX[i] = 0.;
+ fSDEDX[i] = 1e10;
+ fNCDEDX[i] = 0;
+ fNCDEDXInclThres[i] = 0;
+ }
+ fDEDX[4] = 0;
+ for (Int_t i=0;i<12;i++) fOverlapLabels[i] = -1;
}
-AliTPCseed::AliTPCseed(UInt_t index, const Double_t xx[5], const Double_t cc[15],
- Double_t xr, Double_t alpha):
- AliTPCtrack(index, xx, cc, xr, alpha) {
- //
+AliTPCseed::AliTPCseed(Double_t xr, Double_t alpha, const Double_t xx[5],
+ const Double_t cc[15], Int_t index):
+ AliTPCtrack(xr, alpha, xx, cc, index),
+ fEsd(0x0),
+ fClusterOwner(kFALSE),
+ fRow(0),
+ fSector(-1),
+ fRelativeSector(-1),
+ fCurrentSigmaY2(-1),
+ fCurrentSigmaZ2(-1),
+ fCMeanSigmaY2p30(-1.), //! current mean sigma Y2 - mean30%
+ fCMeanSigmaZ2p30(-1.), //! current mean sigma Z2 - mean30%
+ fCMeanSigmaY2p30R(-1.), //! current mean sigma Y2 - mean2%
+ fCMeanSigmaZ2p30R(-1.), //! current mean sigma Z2 - mean2%
+ fErrorY2(1e10),
+ fErrorZ2(1e10),
+ fCurrentCluster(0x0),
+ fCurrentClusterIndex1(-1),
+ fInDead(kFALSE),
+ fIsSeeding(kFALSE),
+ fNoCluster(0),
+ fSort(0),
+ fBSigned(kFALSE),
+ fSeedType(0),
+ fSeed1(-1),
+ fSeed2(-1),
+ fMAngular(0),
+ fCircular(0),
+ fPoolID(-1)
+{
+ //
+ // Constructor
//
- //constructor
- fRow =0;
- for (Int_t i=0;i<200;i++) SetClusterIndex2(i,-3);
+ fFirstPoint =0;
+ for (Int_t i=0;i<160;i++) SetClusterIndex2(i,-3);
for (Int_t i=0;i<160;i++) fClusterPointer[i]=0;
- for (Int_t i=0;i<3;i++) fKinkIndexes[i]=0;
for (Int_t i=0;i<5;i++) fTPCr[i]=0.2;
-
- fPoints = 0;
- fEPoints = 0;
- fNFoundable =0;
- fNShared = 0;
- // fTrackPoints =0;
- fRemoval =0;
- fSort =0;
- fFirstPoint =0;
- // fHelixIn = new TClonesArray("AliHelix",0);
- //fHelixOut = new TClonesArray("AliHelix",0);
- fNoCluster =0;
- fBSigned = kFALSE;
- fSeed1 =-1;
- fSeed2 =-1;
- fCurrentCluster =0;
- fCurrentSigmaY2=0;
- fCurrentSigmaZ2=0;
+ for (Int_t i=0;i<4;i++) {
+ fDEDX[i] = 0.;
+ fSDEDX[i] = 1e10;
+ fNCDEDX[i] = 0;
+ fNCDEDXInclThres[i] = 0;
+ }
+ fDEDX[4] = 0;
+ for (Int_t i=0;i<12;i++) fOverlapLabels[i] = -1;
}
AliTPCseed::~AliTPCseed(){
//
// destructor
- if (fPoints) delete fPoints;
- fPoints =0;
- if (fEPoints) delete fEPoints;
- fEPoints = 0;
fNoCluster =0;
-}
+ if (fClusterOwner){
+ for (Int_t icluster=0; icluster<160; icluster++){
+ delete fClusterPointer[icluster];
+ }
+ }
-AliTPCTrackerPoint * AliTPCseed::GetTrackPoint(Int_t i)
-{
- //
- //
- return &fTrackPoints[i];
}
-
-void AliTPCseed::RebuildSeed()
+//_________________________________________________
+AliTPCseed & AliTPCseed::operator=(const AliTPCseed ¶m)
{
//
- // rebuild seed to be ready for storing
- AliTPCclusterMI cldummy;
- cldummy.SetQ(0);
- AliTPCTrackPoint pdummy;
- pdummy.GetTPoint().fIsShared = 10;
- for (Int_t i=0;i<160;i++){
- AliTPCclusterMI * cl0 = fClusterPointer[i];
- AliTPCTrackPoint *trpoint = (AliTPCTrackPoint*)fPoints->UncheckedAt(i);
- if (cl0){
- trpoint->GetTPoint() = *(GetTrackPoint(i));
- trpoint->GetCPoint() = *cl0;
- trpoint->GetCPoint().SetQ(TMath::Abs(cl0->GetQ()));
- }
- else{
- *trpoint = pdummy;
- trpoint->GetCPoint()= cldummy;
+ // assignment operator
+ // don't touch pool ID
+ //
+ if(this!=¶m){
+ AliTPCtrack::operator=(param);
+ fEsd =param.fEsd;
+ fClusterOwner = param.fClusterOwner;
+ if (!fClusterOwner) for(Int_t i = 0;i<160;++i)fClusterPointer[i] = param.fClusterPointer[i];
+ else for(Int_t i = 0;i<160;++i) {
+ delete fClusterPointer[i];
+ fClusterPointer[i] = new AliTPCclusterMI(*(param.fClusterPointer[i]));
+ }
+ // leave out fPoint, they are also not copied in the copy ctor...
+ // but deleted in the dtor... strange...
+ fRow = param.fRow;
+ fSector = param.fSector;
+ fRelativeSector = param.fRelativeSector;
+ fCurrentSigmaY2 = param.fCurrentSigmaY2;
+ fCurrentSigmaZ2 = param.fCurrentSigmaZ2;
+ fErrorY2 = param.fErrorY2;
+ fErrorZ2 = param.fErrorZ2;
+ fCurrentCluster = param.fCurrentCluster; // this is not allocated by AliTPCSeed
+ fCurrentClusterIndex1 = param.fCurrentClusterIndex1;
+ fInDead = param.fInDead;
+ fIsSeeding = param.fIsSeeding;
+ fNoCluster = param.fNoCluster;
+ fSort = param.fSort;
+ fBSigned = param.fBSigned;
+ for(Int_t i = 0;i<4;++i){
+ fDEDX[i] = param.fDEDX[i];
+ fSDEDX[i] = param.fSDEDX[i];
+ fNCDEDX[i] = param.fNCDEDX[i];
+ fNCDEDXInclThres[i] = param.fNCDEDXInclThres[i];
}
+ fDEDX[4] = param.fDEDX[4];
+ for(Int_t i = 0;i<AliPID::kSPECIES;++i)fTPCr[i] = param.fTPCr[i];
+ fSeedType = param.fSeedType;
+ fSeed1 = param.fSeed1;
+ fSeed2 = param.fSeed2;
+ for(Int_t i = 0;i<12;++i)fOverlapLabels[i] = param.fOverlapLabels[i];
+ fMAngular = param.fMAngular;
+ fCircular = param.fCircular;
+ for(int i = 0;i<160;++i)fTrackPoints[i] = param.fTrackPoints[i];
}
-
+ return (*this);
+}
+//____________________________________________________
+AliTPCTrackerPoint * AliTPCseed::GetTrackPoint(Int_t i)
+{
+ //
+ //
+ return &fTrackPoints[i];
}
+
Double_t AliTPCseed::GetDensityFirst(Int_t n)
{
//
for (Int_t i=first;i<last; i++){
Int_t index = GetClusterIndex2(i);
if (index!=-1) foundable++;
+ if (index&0x8000) continue;
if (fClusterPointer[i]) {
found++;
}
SetNumberOfClusters(0);
fNFoundable = 0;
SetChi2(0);
- ResetCovariance();
+ ResetCovariance(10.);
/*
if (fTrackPoints){
for (Int_t i=0;i<8;i++){
*/
if (all){
- for (Int_t i=0;i<200;i++) SetClusterIndex2(i,-3);
- for (Int_t i=0;i<160;i++) fClusterPointer[i]=0;
+ for (Int_t i=200;i--;) SetClusterIndex2(i,-3);
+ if (!fClusterOwner) for (Int_t i=160;i--;) fClusterPointer[i]=0;
+ else for (Int_t i=160;i--;) {delete fClusterPointer[i]; fClusterPointer[i]=0;}
}
}
//This function makes a track forget its history :)
//------------------------------------------------------------------
if (factor<=0) {
- ResetCovariance();
+ ResetCovariance(10.);
return;
}
- fC00*=factor;
- fC10*=0; fC11*=factor;
- fC20*=0; fC21*=0; fC22*=factor;
- fC30*=0; fC31*=0; fC32*=0; fC33*=factor;
- fC40*=0; fC41*=0; fC42*=0; fC43*=0; fC44*=factor;
+ ResetCovariance(factor);
+
SetNumberOfClusters(0);
fNFoundable =0;
SetChi2(0);
// doesn't change internal state of the track
//-----------------------------------------------------------------
- Double_t x1=fX, x2=x1+(xk-x1), dx=x2-x1;
+ Double_t x1=GetX(), x2=x1+(xk-x1), dx=x2-x1;
- if (TMath::Abs(fP4*xk - fP2) >= 0.999) {
+ if (TMath::Abs(GetSnp()+GetC()*dx) >= AliTPCReconstructor::GetMaxSnpTrack()) {
return 0;
}
// Double_t y1=fP0, z1=fP1;
- Double_t c1=fP4*x1 - fP2, r1=sqrt(1.- c1*c1);
- Double_t c2=fP4*x2 - fP2, r2=sqrt(1.- c2*c2);
+ Double_t c1=GetSnp(), r1=sqrt((1.-c1)*(1.+c1));
+ Double_t c2=c1 + GetC()*dx, r2=sqrt((1.-c2)*(1.+c2));
- y = fP0;
- z = fP1;
+ y = GetY();
+ z = GetZ();
//y += dx*(c1+c2)/(r1+r2);
//z += dx*(c1+c2)/(c1*r2 + c2*r1)*fP3;
Double_t dy = dx*(c1+c2)/(r1+r2);
Double_t dz = 0;
//
- Double_t delta = fP4*dx*(c1+c2)/(c1*r2 + c2*r1);
+ Double_t delta = GetC()*dx*(c1+c2)/(c1*r2 + c2*r1);
/*
if (TMath::Abs(delta)>0.0001){
dz = fP3*TMath::ASin(delta)/fP4;
}
*/
// dz = fP3*AliTPCFastMath::FastAsin(delta)/fP4;
- dz = fP3*TMath::ASin(delta)/fP4;
+ dz = GetTgl()*TMath::ASin(delta)/GetC();
//
y+=dy;
z+=dz;
//-----------------------------------------------------------------
// This function calculates a predicted chi2 increment.
//-----------------------------------------------------------------
- //Double_t r00=c->GetSigmaY2(), r01=0., r11=c->GetSigmaZ2();
- Double_t r00=fErrorY2, r01=0., r11=fErrorZ2;
- r00+=fC00; r01+=fC10; r11+=fC11;
-
- Double_t det=r00*r11 - r01*r01;
- if (TMath::Abs(det) < 1.e-10) {
- //Int_t n=GetNumberOfClusters();
- //if (n>4) cerr<<n<<" AliKalmanTrack warning: Singular matrix !\n";
- return 1e10;
+ Double_t p[2]={c->GetY(), c->GetZ()};
+ Double_t cov[3]={fErrorY2, 0., fErrorZ2};
+
+ Float_t dx = ((AliTPCclusterMI*)c)->GetX()-GetX();
+ if (TMath::Abs(dx)>0){
+ Float_t ty = TMath::Tan(TMath::ASin(GetSnp()));
+ Float_t dy = dx*ty;
+ Float_t dz = dx*TMath::Sqrt(1.+ty*ty)*GetTgl();
+ p[0] = c->GetY()-dy;
+ p[1] = c->GetZ()-dz;
}
- Double_t tmp=r00; r00=r11; r11=tmp; r01=-r01;
-
- Double_t dy=c->GetY() - fP0, dz=c->GetZ() - fP1;
-
- return (dy*r00*dy + 2*r01*dy*dz + dz*r11*dz)/det;
+ return AliExternalTrackParam::GetPredictedChi2(p,cov);
}
-
//_________________________________________________________________________________________
}
else {
Float_t f2 =1;
- f2 = 1-20*TMath::Sqrt(t->fC44)/(TMath::Abs(t->GetC())+0.0066);
+ f2 = 1-20*TMath::Sqrt(t->GetSigma1Pt2())/(t->OneOverPt()+0.0066);
if (t->fBConstrain) f2=1.2;
Float_t f1 =1;
- f1 = 1-20*TMath::Sqrt(fC44)/(TMath::Abs(GetC())+0.0066);
+ f1 = 1-20*TMath::Sqrt(GetSigma1Pt2())/(OneOverPt()+0.0066);
if (fBConstrain) f1=1.2;
//_____________________________________________________________________________
-Int_t AliTPCseed::Update(const AliCluster *c, Double_t chisq, UInt_t /*index*/) {
+Bool_t AliTPCseed::Update(const AliCluster *c, Double_t chisq, Int_t index)
+{
//-----------------------------------------------------------------
// This function associates a cluster with this track.
//-----------------------------------------------------------------
- Double_t r00=fErrorY2, r01=0., r11=fErrorZ2;
-
- r00+=fC00; r01+=fC10; r11+=fC11;
- Double_t det=r00*r11 - r01*r01;
- Double_t tmp=r00; r00=r11/det; r11=tmp/det; r01=-r01/det;
+ Int_t n=GetNumberOfClusters();
+ Int_t idx=GetClusterIndex(n); // save the current cluster index
- Double_t k00=fC00*r00+fC10*r01, k01=fC00*r01+fC10*r11;
- Double_t k10=fC10*r00+fC11*r01, k11=fC10*r01+fC11*r11;
- Double_t k20=fC20*r00+fC21*r01, k21=fC20*r01+fC21*r11;
- Double_t k30=fC30*r00+fC31*r01, k31=fC30*r01+fC31*r11;
- Double_t k40=fC40*r00+fC41*r01, k41=fC40*r01+fC41*r11;
+ AliTPCclusterMI cl(*(AliTPCclusterMI*)c); cl.SetSigmaY2(fErrorY2); cl.SetSigmaZ2(fErrorZ2);
- Double_t dy=c->GetY() - fP0, dz=c->GetZ() - fP1;
- Double_t cur=fP4 + k40*dy + k41*dz, eta=fP2 + k20*dy + k21*dz;
- if (TMath::Abs(cur*fX-eta) >= 0.9) {
- return 0;
+ AliTPCClusterParam * parcl = AliTPCcalibDB::Instance()->GetClusterParam();
+
+ Float_t ty = TMath::Tan(TMath::ASin(GetSnp()));
+
+ if( parcl ){
+ Int_t padSize = 0; // short pads
+ if (cl.GetDetector() >= 36) {
+ padSize = 1; // medium pads
+ if (cl.GetRow() > 63) padSize = 2; // long pads
+ }
+ Float_t waveCorr = parcl->GetWaveCorrection( padSize, cl.GetZ(), cl.GetMax(),cl.GetPad(), ty );
+ cl.SetY( cl.GetY() - waveCorr );
}
- fP0 += k00*dy + k01*dz;
- fP1 += k10*dy + k11*dz;
- fP2 = eta;
- fP3 += k30*dy + k31*dz;
- fP4 = cur;
-
- Double_t c01=fC10, c02=fC20, c03=fC30, c04=fC40;
- Double_t c12=fC21, c13=fC31, c14=fC41;
-
- fC00-=k00*fC00+k01*fC10; fC10-=k00*c01+k01*fC11;
- fC20-=k00*c02+k01*c12; fC30-=k00*c03+k01*c13;
- fC40-=k00*c04+k01*c14;
-
- fC11-=k10*c01+k11*fC11;
- fC21-=k10*c02+k11*c12; fC31-=k10*c03+k11*c13;
- fC41-=k10*c04+k11*c14;
-
- fC22-=k20*c02+k21*c12; fC32-=k20*c03+k21*c13;
- fC42-=k20*c04+k21*c14;
-
- fC33-=k30*c03+k31*c13;
- fC43-=k40*c03+k41*c13;
+ Float_t dx = ((AliTPCclusterMI*)c)->GetX()-GetX();
+ if (TMath::Abs(dx)>0){
+ Float_t dy = dx*ty;
+ Float_t dz = dx*TMath::Sqrt(1.+ty*ty)*GetTgl();
+ cl.SetY(cl.GetY()-dy);
+ cl.SetZ(cl.GetZ()-dz);
+ }
+
- fC44-=k40*c04+k41*c14;
+ if (!AliTPCtrack::Update(&cl,chisq,index)) return kFALSE;
+
+ if (fCMeanSigmaY2p30<0){
+ fCMeanSigmaY2p30= c->GetSigmaY2(); //! current mean sigma Y2 - mean30%
+ fCMeanSigmaZ2p30= c->GetSigmaZ2(); //! current mean sigma Z2 - mean30%
+ fCMeanSigmaY2p30R = 1; //! current mean sigma Y2 - mean5%
+ fCMeanSigmaZ2p30R = 1; //! current mean sigma Z2 - mean5%
+ }
+ //
+ fCMeanSigmaY2p30= 0.70*fCMeanSigmaY2p30 +0.30*c->GetSigmaY2();
+ fCMeanSigmaZ2p30= 0.70*fCMeanSigmaZ2p30 +0.30*c->GetSigmaZ2();
+ if (fCurrentSigmaY2>0){
+ fCMeanSigmaY2p30R = 0.7*fCMeanSigmaY2p30R +0.3*c->GetSigmaY2()/fCurrentSigmaY2;
+ fCMeanSigmaZ2p30R = 0.7*fCMeanSigmaZ2p30R +0.3*c->GetSigmaZ2()/fCurrentSigmaZ2;
+ }
- Int_t n=GetNumberOfClusters();
- // fIndex[n]=index;
- SetNumberOfClusters(n+1);
- SetChi2(GetChi2()+chisq);
- return 1;
+ SetClusterIndex(n,idx); // restore the current cluster index
+ return kTRUE;
}
//_____________________________________________________________________________
-Float_t AliTPCseed::CookdEdx(Double_t low, Double_t up,Int_t i1, Int_t i2, Bool_t onlyused) {
+Float_t AliTPCseed::CookdEdx(Double_t low, Double_t up,Int_t i1, Int_t i2, Bool_t /* onlyused */) {
//-----------------------------------------------------------------
// This funtion calculates dE/dX within the "low" and "up" cuts.
//-----------------------------------------------------------------
-
- Float_t amp[200];
- Float_t angular[200];
- Float_t weight[200];
- Int_t index[200];
- //Int_t nc = 0;
- // TClonesArray & arr = *fPoints;
- Float_t meanlog = 100.;
+ // CookdEdxAnalytical(Double_t low, Double_t up, Int_t type, Int_t i1, Int_t i2, Int_t returnVal)
+ AliTPCParam *param = AliTPCcalibDB::Instance()->GetParameters();
- Float_t mean[4] = {0,0,0,0};
- Float_t sigma[4] = {1000,1000,1000,1000};
- Int_t nc[4] = {0,0,0,0};
- Float_t norm[4] = {1000,1000,1000,1000};
- //
- //
- fNShared =0;
-
- for (Int_t of =0; of<4; of++){
- for (Int_t i=of+i1;i<i2;i+=4)
- {
- Int_t index = fIndex[i];
- if (index<0||index&0x8000) continue;
-
- //AliTPCTrackPoint * point = (AliTPCTrackPoint *) arr.At(i);
- AliTPCTrackerPoint * point = GetTrackPoint(i);
- //AliTPCTrackerPoint * pointm = GetTrackPoint(i-1);
- //AliTPCTrackerPoint * pointp = 0;
- //if (i<159) pointp = GetTrackPoint(i+1);
-
- if (point==0) continue;
- AliTPCclusterMI * cl = fClusterPointer[i];
- if (cl==0) continue;
- if (onlyused && (!cl->IsUsed(10))) continue;
- if (cl->IsUsed(11)) {
- fNShared++;
- continue;
- }
- Int_t type = cl->GetType();
- //if (point->fIsShared){
- // fNShared++;
- // continue;
- //}
- //if (pointm)
- // if (pointm->fIsShared) continue;
- //if (pointp)
- // if (pointp->fIsShared) continue;
-
- if (type<0) continue;
- //if (type>10) continue;
- //if (point->GetErrY()==0) continue;
- //if (point->GetErrZ()==0) continue;
-
- //Float_t ddy = (point->GetY()-cl->GetY())/point->GetErrY();
- //Float_t ddz = (point->GetZ()-cl->GetZ())/point->GetErrZ();
- //if ((ddy*ddy+ddz*ddz)>10) continue;
-
-
- // if (point->GetCPoint().GetMax()<5) continue;
- if (cl->GetMax()<5) continue;
- Float_t angley = point->GetAngleY();
- Float_t anglez = point->GetAngleZ();
-
- Float_t rsigmay2 = point->GetSigmaY();
- Float_t rsigmaz2 = point->GetSigmaZ();
- /*
- Float_t ns = 1.;
- if (pointm){
- rsigmay += pointm->GetTPoint().GetSigmaY();
- rsigmaz += pointm->GetTPoint().GetSigmaZ();
- ns+=1.;
- }
- if (pointp){
- rsigmay += pointp->GetTPoint().GetSigmaY();
- rsigmaz += pointp->GetTPoint().GetSigmaZ();
- ns+=1.;
- }
- rsigmay/=ns;
- rsigmaz/=ns;
- */
-
- Float_t rsigma = TMath::Sqrt(rsigmay2*rsigmaz2);
-
- Float_t ampc = 0; // normalization to the number of electrons
- if (i>64){
- // ampc = 1.*point->GetCPoint().GetMax();
- ampc = 1.*cl->GetMax();
- //ampc = 1.*point->GetCPoint().GetQ();
- // AliTPCClusterPoint & p = point->GetCPoint();
- // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.6)) - TMath::Abs(p.GetY()/0.6)+0.5);
- // Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
- //Float_t dz =
- // TMath::Abs( Int_t(iz) - iz + 0.5);
- //ampc *= 1.15*(1-0.3*dy);
- //ampc *= 1.15*(1-0.3*dz);
- // Float_t zfactor = (AliTPCReconstructor::GetCtgRange()-0.0004*TMath::Abs(point->GetCPoint().GetZ()));
- //ampc *=zfactor;
- }
- else{
- //ampc = 1.0*point->GetCPoint().GetMax();
- ampc = 1.0*cl->GetMax();
- //ampc = 1.0*point->GetCPoint().GetQ();
- //AliTPCClusterPoint & p = point->GetCPoint();
- // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.4)) - TMath::Abs(p.GetY()/0.4)+0.5);
- //Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
- //Float_t dz =
- // TMath::Abs( Int_t(iz) - iz + 0.5);
-
- //ampc *= 1.15*(1-0.3*dy);
- //ampc *= 1.15*(1-0.3*dz);
- // Float_t zfactor = (1.02-0.000*TMath::Abs(point->GetCPoint().GetZ()));
- //ampc *=zfactor;
+ Int_t row0 = param->GetNRowLow();
+ Int_t row1 = row0+param->GetNRowUp1();
+ Int_t row2 = row1+param->GetNRowUp2();
+ const AliTPCRecoParam * recoParam = AliTPCcalibDB::Instance()->GetTransform()->GetCurrentRecoParam();
+ Int_t useTot = 0;
+ if (recoParam) useTot = (recoParam->GetUseTotCharge())? 0:1;
+ //
+ //
+ //
+ fDEDX[0] = CookdEdxAnalytical(low,up,useTot ,i1 ,i2, 0);
+ fDEDX[1] = CookdEdxAnalytical(low,up,useTot ,0 ,row0, 0);
+ fDEDX[2] = CookdEdxAnalytical(low,up,useTot ,row0,row1, 0);
+ fDEDX[3] = CookdEdxAnalytical(low,up,useTot ,row1,row2, 0);
+ fDEDX[4] = CookdEdxAnalytical(low,up,useTot ,row0,row2, 0); // full OROC truncated mean
+ //
+ fSDEDX[0] = CookdEdxAnalytical(low,up,useTot ,i1 ,i2, 1);
+ fSDEDX[1] = CookdEdxAnalytical(low,up,useTot ,0 ,row0, 1);
+ fSDEDX[2] = CookdEdxAnalytical(low,up,useTot ,row0,row1, 1);
+ fSDEDX[3] = CookdEdxAnalytical(low,up,useTot ,row1,row2, 1);
+ //
+ fNCDEDX[0] = TMath::Nint(GetTPCClustInfo(2, 1, i1 , i2));
+ fNCDEDX[1] = TMath::Nint(GetTPCClustInfo(2, 1, 0 , row0));
+ fNCDEDX[2] = TMath::Nint(GetTPCClustInfo(2, 1, row0, row1));
+ fNCDEDX[3] = TMath::Nint(GetTPCClustInfo(2, 1, row1, row2));
+ //
+ fNCDEDXInclThres[0] = TMath::Nint(GetTPCClustInfo(2, 2, i1 , i2));
+ fNCDEDXInclThres[1] = TMath::Nint(GetTPCClustInfo(2, 2, 0 , row0));
+ fNCDEDXInclThres[2] = TMath::Nint(GetTPCClustInfo(2, 2, row0, row1));
+ fNCDEDXInclThres[3] = TMath::Nint(GetTPCClustInfo(2, 2, row1, row2));
+ //
+ SetdEdx(fDEDX[0]);
+ return fDEDX[0];
- }
- ampc *= 2.0; // put mean value to channel 50
- //ampc *= 0.58; // put mean value to channel 50
- Float_t w = 1.;
- // if (type>0) w = 1./(type/2.-0.5);
- // Float_t z = TMath::Abs(cl->GetZ());
- if (i<64) {
- ampc /= 0.6;
- //ampc /= (1+0.0008*z);
- } else
- if (i>128){
- ampc /=1.5;
- //ampc /= (1+0.0008*z);
- }else{
- //ampc /= (1+0.0008*z);
- }
+// return CookdEdxNorm(low,up,0,i1,i2,1,0,2);
+
+
+// Float_t amp[200];
+// Float_t angular[200];
+// Float_t weight[200];
+// Int_t index[200];
+// //Int_t nc = 0;
+// Float_t meanlog = 100.;
+
+// Float_t mean[4] = {0,0,0,0};
+// Float_t sigma[4] = {1000,1000,1000,1000};
+// Int_t nc[4] = {0,0,0,0};
+// Float_t norm[4] = {1000,1000,1000,1000};
+// //
+// //
+// fNShared =0;
+
+// Float_t gainGG = 1;
+// if (AliTPCcalibDB::Instance()->GetParameters()){
+// gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000.; //relative gas gain
+// }
+
+
+// for (Int_t of =0; of<4; of++){
+// for (Int_t i=of+i1;i<i2;i+=4)
+// {
+// Int_t clindex = fIndex[i];
+// if (clindex<0||clindex&0x8000) continue;
+
+// //AliTPCTrackPoint * point = (AliTPCTrackPoint *) arr.At(i);
+// AliTPCTrackerPoint * point = GetTrackPoint(i);
+// //AliTPCTrackerPoint * pointm = GetTrackPoint(i-1);
+// //AliTPCTrackerPoint * pointp = 0;
+// //if (i<159) pointp = GetTrackPoint(i+1);
+
+// if (point==0) continue;
+// AliTPCclusterMI * cl = fClusterPointer[i];
+// if (cl==0) continue;
+// if (onlyused && (!cl->IsUsed(10))) continue;
+// if (cl->IsUsed(11)) {
+// fNShared++;
+// continue;
+// }
+// Int_t type = cl->GetType();
+// //if (point->fIsShared){
+// // fNShared++;
+// // continue;
+// //}
+// //if (pointm)
+// // if (pointm->fIsShared) continue;
+// //if (pointp)
+// // if (pointp->fIsShared) continue;
+
+// if (type<0) continue;
+// //if (type>10) continue;
+// //if (point->GetErrY()==0) continue;
+// //if (point->GetErrZ()==0) continue;
+
+// //Float_t ddy = (point->GetY()-cl->GetY())/point->GetErrY();
+// //Float_t ddz = (point->GetZ()-cl->GetZ())/point->GetErrZ();
+// //if ((ddy*ddy+ddz*ddz)>10) continue;
+
+
+// // if (point->GetCPoint().GetMax()<5) continue;
+// if (cl->GetMax()<5) continue;
+// Float_t angley = point->GetAngleY();
+// Float_t anglez = point->GetAngleZ();
+
+// Float_t rsigmay2 = point->GetSigmaY();
+// Float_t rsigmaz2 = point->GetSigmaZ();
+// /*
+// Float_t ns = 1.;
+// if (pointm){
+// rsigmay += pointm->GetTPoint().GetSigmaY();
+// rsigmaz += pointm->GetTPoint().GetSigmaZ();
+// ns+=1.;
+// }
+// if (pointp){
+// rsigmay += pointp->GetTPoint().GetSigmaY();
+// rsigmaz += pointp->GetTPoint().GetSigmaZ();
+// ns+=1.;
+// }
+// rsigmay/=ns;
+// rsigmaz/=ns;
+// */
+
+// Float_t rsigma = TMath::Sqrt(rsigmay2*rsigmaz2);
+
+// Float_t ampc = 0; // normalization to the number of electrons
+// if (i>64){
+// // ampc = 1.*point->GetCPoint().GetMax();
+// ampc = 1.*cl->GetMax();
+// //ampc = 1.*point->GetCPoint().GetQ();
+// // AliTPCClusterPoint & p = point->GetCPoint();
+// // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.6)) - TMath::Abs(p.GetY()/0.6)+0.5);
+// // Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
+// //Float_t dz =
+// // TMath::Abs( Int_t(iz) - iz + 0.5);
+// //ampc *= 1.15*(1-0.3*dy);
+// //ampc *= 1.15*(1-0.3*dz);
+// // Float_t zfactor = (AliTPCReconstructor::GetCtgRange()-0.0004*TMath::Abs(point->GetCPoint().GetZ()));
+// //ampc *=zfactor;
+// }
+// else{
+// //ampc = 1.0*point->GetCPoint().GetMax();
+// ampc = 1.0*cl->GetMax();
+// //ampc = 1.0*point->GetCPoint().GetQ();
+// //AliTPCClusterPoint & p = point->GetCPoint();
+// // Float_t dy = TMath::Abs(Int_t( TMath::Abs(p.GetY()/0.4)) - TMath::Abs(p.GetY()/0.4)+0.5);
+// //Float_t iz = (250.0-TMath::Abs(p.GetZ())+0.11)/0.566;
+// //Float_t dz =
+// // TMath::Abs( Int_t(iz) - iz + 0.5);
+
+// //ampc *= 1.15*(1-0.3*dy);
+// //ampc *= 1.15*(1-0.3*dz);
+// // Float_t zfactor = (1.02-0.000*TMath::Abs(point->GetCPoint().GetZ()));
+// //ampc *=zfactor;
+
+// }
+// ampc *= 2.0; // put mean value to channel 50
+// //ampc *= 0.58; // put mean value to channel 50
+// Float_t w = 1.;
+// // if (type>0) w = 1./(type/2.-0.5);
+// // Float_t z = TMath::Abs(cl->GetZ());
+// if (i<64) {
+// ampc /= 0.6;
+// //ampc /= (1+0.0008*z);
+// } else
+// if (i>128){
+// ampc /=1.5;
+// //ampc /= (1+0.0008*z);
+// }else{
+// //ampc /= (1+0.0008*z);
+// }
- if (type<0) { //amp at the border - lower weight
- // w*= 2.;
+// if (type<0) { //amp at the border - lower weight
+// // w*= 2.;
- continue;
- }
- if (rsigma>1.5) ampc/=1.3; // if big backround
- amp[nc[of]] = ampc;
- angular[nc[of]] = TMath::Sqrt(1.+angley*angley+anglez*anglez);
- weight[nc[of]] = w;
- nc[of]++;
- }
+// continue;
+// }
+// if (rsigma>1.5) ampc/=1.3; // if big backround
+// amp[nc[of]] = ampc;
+// amp[nc[of]] /=gainGG;
+// angular[nc[of]] = TMath::Sqrt(1.+angley*angley+anglez*anglez);
+// weight[nc[of]] = w;
+// nc[of]++;
+// }
- TMath::Sort(nc[of],amp,index,kFALSE);
- Float_t sumamp=0;
- Float_t sumamp2=0;
- Float_t sumw=0;
- //meanlog = amp[index[Int_t(nc[of]*0.33)]];
- meanlog = 50;
- for (Int_t i=int(nc[of]*low+0.5);i<int(nc[of]*up+0.5);i++){
- Float_t ampl = amp[index[i]]/angular[index[i]];
- ampl = meanlog*TMath::Log(1.+ampl/meanlog);
- //
- sumw += weight[index[i]];
- sumamp += weight[index[i]]*ampl;
- sumamp2 += weight[index[i]]*ampl*ampl;
- norm[of] += angular[index[i]]*weight[index[i]];
- }
- if (sumw<1){
- SetdEdx(0);
- }
- else {
- norm[of] /= sumw;
- mean[of] = sumamp/sumw;
- sigma[of] = sumamp2/sumw-mean[of]*mean[of];
- if (sigma[of]>0.1)
- sigma[of] = TMath::Sqrt(sigma[of]);
- else
- sigma[of] = 1000;
+// TMath::Sort(nc[of],amp,index,kFALSE);
+// Float_t sumamp=0;
+// Float_t sumamp2=0;
+// Float_t sumw=0;
+// //meanlog = amp[index[Int_t(nc[of]*0.33)]];
+// meanlog = 50;
+// for (Int_t i=int(nc[of]*low+0.5);i<int(nc[of]*up+0.5);i++){
+// Float_t ampl = amp[index[i]]/angular[index[i]];
+// ampl = meanlog*TMath::Log(1.+ampl/meanlog);
+// //
+// sumw += weight[index[i]];
+// sumamp += weight[index[i]]*ampl;
+// sumamp2 += weight[index[i]]*ampl*ampl;
+// norm[of] += angular[index[i]]*weight[index[i]];
+// }
+// if (sumw<1){
+// SetdEdx(0);
+// }
+// else {
+// norm[of] /= sumw;
+// mean[of] = sumamp/sumw;
+// sigma[of] = sumamp2/sumw-mean[of]*mean[of];
+// if (sigma[of]>0.1)
+// sigma[of] = TMath::Sqrt(sigma[of]);
+// else
+// sigma[of] = 1000;
- mean[of] = (TMath::Exp(mean[of]/meanlog)-1)*meanlog;
- //mean *=(1-0.02*(sigma/(mean*0.17)-1.));
- //mean *=(1-0.1*(norm-1.));
- }
- }
-
- Float_t dedx =0;
- fSdEdx =0;
- fMAngular =0;
- // mean[0]*= (1-0.05*(sigma[0]/(0.01+mean[1]*0.18)-1));
- // mean[1]*= (1-0.05*(sigma[1]/(0.01+mean[0]*0.18)-1));
+// mean[of] = (TMath::Exp(mean[of]/meanlog)-1)*meanlog;
+// //mean *=(1-0.02*(sigma/(mean*0.17)-1.));
+// //mean *=(1-0.1*(norm-1.));
+// }
+// }
+
+// Float_t dedx =0;
+// fSdEdx =0;
+// fMAngular =0;
+// // mean[0]*= (1-0.05*(sigma[0]/(0.01+mean[1]*0.18)-1));
+// // mean[1]*= (1-0.05*(sigma[1]/(0.01+mean[0]*0.18)-1));
- // dedx = (mean[0]* TMath::Sqrt((1.+nc[0]))+ mean[1]* TMath::Sqrt((1.+nc[1])) )/
- // ( TMath::Sqrt((1.+nc[0]))+TMath::Sqrt((1.+nc[1])));
-
- Int_t norm2 = 0;
- Int_t norm3 = 0;
- for (Int_t i =0;i<4;i++){
- if (nc[i]>2&&nc[i]<1000){
- dedx += mean[i] *nc[i];
- fSdEdx += sigma[i]*(nc[i]-2);
- fMAngular += norm[i] *nc[i];
- norm2 += nc[i];
- norm3 += nc[i]-2;
- }
- fDEDX[i] = mean[i];
- fSDEDX[i] = sigma[i];
- fNCDEDX[i]= nc[i];
- }
-
- if (norm3>0){
- dedx /=norm2;
- fSdEdx /=norm3;
- fMAngular/=norm2;
- }
- else{
- SetdEdx(0);
- return 0;
- }
- // Float_t dedx1 =dedx;
- /*
- dedx =0;
- for (Int_t i =0;i<4;i++){
- if (nc[i]>2&&nc[i]<1000){
- mean[i] = mean[i]*(1-0.12*(sigma[i]/(fSdEdx)-1.));
- dedx += mean[i] *nc[i];
- }
- fDEDX[i] = mean[i];
- }
- dedx /= norm2;
- */
+// // dedx = (mean[0]* TMath::Sqrt((1.+nc[0]))+ mean[1]* TMath::Sqrt((1.+nc[1])) )/
+// // ( TMath::Sqrt((1.+nc[0]))+TMath::Sqrt((1.+nc[1])));
+
+// Int_t norm2 = 0;
+// Int_t norm3 = 0;
+// for (Int_t i =0;i<4;i++){
+// if (nc[i]>2&&nc[i]<1000){
+// dedx += mean[i] *nc[i];
+// fSdEdx += sigma[i]*(nc[i]-2);
+// fMAngular += norm[i] *nc[i];
+// norm2 += nc[i];
+// norm3 += nc[i]-2;
+// }
+// fDEDX[i] = mean[i];
+// fSDEDX[i] = sigma[i];
+// fNCDEDX[i]= nc[i];
+// }
+
+// if (norm3>0){
+// dedx /=norm2;
+// fSdEdx /=norm3;
+// fMAngular/=norm2;
+// }
+// else{
+// SetdEdx(0);
+// return 0;
+// }
+// // Float_t dedx1 =dedx;
+// /*
+// dedx =0;
+// for (Int_t i =0;i<4;i++){
+// if (nc[i]>2&&nc[i]<1000){
+// mean[i] = mean[i]*(1-0.12*(sigma[i]/(fSdEdx)-1.));
+// dedx += mean[i] *nc[i];
+// }
+// fDEDX[i] = mean[i];
+// }
+// dedx /= norm2;
+// */
- SetdEdx(dedx);
-
- //mi deDX
-
-
-
- //Very rough PID
- Double_t p=TMath::Sqrt((1.+ GetTgl()*GetTgl())/(Get1Pt()*Get1Pt()));
-
- if (p<0.6) {
- if (dedx < 39.+ 12./(p+0.25)/(p+0.25)) { SetMass(0.13957); return dedx;}
- if (dedx < 39.+ 12./p/p) { SetMass(0.49368); return dedx;}
- SetMass(0.93827); return dedx;
- }
-
- if (p<1.2) {
- if (dedx < 39.+ 12./(p+0.25)/(p+0.25)) { SetMass(0.13957); return dedx;}
- SetMass(0.93827); return dedx;
- }
-
- SetMass(0.13957); return dedx;
-
-}
-Double_t AliTPCseed::Bethe(Double_t bg){
- //
- // This is the Bethe-Bloch function normalised to 1 at the minimum
- //
- Double_t bg2=bg*bg;
- Double_t bethe;
- if (bg<3.5e1)
- bethe=(1.+ bg2)/bg2*(log(5940*bg2) - bg2/(1.+ bg2));
- else // Density effect ( approximately :)
- bethe=1.15*(1.+ bg2)/bg2*(log(3.5*5940*bg) - bg2/(1.+ bg2));
- return bethe/11.091;
+// SetdEdx(dedx);
+// return dedx;
}
void AliTPCseed::CookPID()
Double_t sumr =0;
for (Int_t j=0; j<ns; j++) {
Double_t mass=AliPID::ParticleMass(j);
- Double_t mom=P();
+ Double_t mom=GetP();
Double_t dedx=fdEdx/fMIP;
- Double_t bethe=Bethe(mom/mass);
+ Double_t bethe=AliMathBase::BetheBlochAleph(mom/mass);
Double_t sigma=fRes*bethe;
if (sigma>0.001){
if (TMath::Abs(dedx-bethe) > fRange*sigma) {
}
}
-/*
-void AliTPCseed::CookdEdx2(Double_t low, Double_t up) {
- //-----------------------------------------------------------------
- // This funtion calculates dE/dX within the "low" and "up" cuts.
- //-----------------------------------------------------------------
+Double_t AliTPCseed::GetYat(Double_t xk) const {
+//-----------------------------------------------------------------
+// This function calculates the Y-coordinate of a track at the plane x=xk.
+//-----------------------------------------------------------------
+ if (TMath::Abs(GetSnp())>AliTPCReconstructor::GetMaxSnpTrack()) return 0.; //patch 01 jan 06
+ Double_t c1=GetSnp(), r1=TMath::Sqrt((1.-c1)*(1.+c1));
+ Double_t c2=c1+GetC()*(xk-GetX());
+ if (TMath::Abs(c2)>AliTPCReconstructor::GetMaxSnpTrack()) return 0;
+ Double_t r2=TMath::Sqrt((1.-c2)*(1.+c2));
+ return GetY() + (xk-GetX())*(c1+c2)/(r1+r2);
+}
- Float_t amp[200];
- Float_t angular[200];
- Float_t weight[200];
- Int_t index[200];
- Bool_t inlimit[200];
- for (Int_t i=0;i<200;i++) inlimit[i]=kFALSE;
- for (Int_t i=0;i<200;i++) amp[i]=10000;
- for (Int_t i=0;i<200;i++) angular[i]= 1;;
-
- //
- Float_t meanlog = 100.;
- Int_t indexde[4]={0,64,128,160};
- Float_t amean =0;
- Float_t asigma =0;
- Float_t anc =0;
- Float_t anorm =0;
+Float_t AliTPCseed::CookdEdxNorm(Double_t low, Double_t up, Int_t type, Int_t i1, Int_t i2, Bool_t shapeNorm,Int_t posNorm, Int_t padNorm, Int_t returnVal){
+
+ //
+ // calculates dedx using the cluster
+ // low - up specify trunc mean range - default form 0-0.7
+ // type - 1 - max charge or 0- total charge in cluster
+ // //2- max no corr 3- total+ correction
+ // i1-i2 - the pad-row range used for calculation
+ // shapeNorm - kTRUE -taken from OCDB
+ //
+ // posNorm - usage of pos normalization
+ // padNorm - pad type normalization
+ // returnVal - 0 return mean
+ // - 1 return RMS
+ // - 2 return number of clusters
+ //
+ // normalization parametrization taken from AliTPCClusterParam
+ //
+ AliTPCClusterParam * parcl = AliTPCcalibDB::Instance()->GetClusterParam();
+ AliTPCParam * param = AliTPCcalibDB::Instance()->GetParameters();
+ if (!parcl) return 0;
+ if (!param) return 0;
+ Int_t row0 = param->GetNRowLow();
+ Int_t row1 = row0+param->GetNRowUp1();
+
+ Float_t amp[160];
+ Int_t indexes[160];
+ Int_t ncl=0;
+ //
+ //
+ Float_t gainGG = 1; // gas gain factor -always enabled
+ Float_t gainPad = 1; // gain map - used always
+ Float_t corrShape = 1; // correction due angular effect, diffusion and electron attachment
+ Float_t corrPos = 1; // local position correction - if posNorm enabled
+ Float_t corrPadType = 1; // pad type correction - if padNorm enabled
+ Float_t corrNorm = 1; // normalization factor - set Q to channel 50
+ //
+ //
+ //
+ if (AliTPCcalibDB::Instance()->GetParameters()){
+ gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000; //relative gas gain
+ }
- Float_t mean[4] = {0,0,0,0};
- Float_t sigma[4] = {1000,1000,1000,1000};
- Int_t nc[4] = {0,0,0,0};
- Float_t norm[4] = {1000,1000,1000,1000};
+ const Float_t ktany = TMath::Tan(TMath::DegToRad()*10);
+ const Float_t kedgey =3.;
//
//
- fNShared =0;
+ for (Int_t irow=i1; irow<i2; irow++){
+ AliTPCclusterMI* cluster = GetClusterPointer(irow);
+ if (!cluster) continue;
+ if (TMath::Abs(cluster->GetY())>cluster->GetX()*ktany-kedgey) continue; // edge cluster
+ Float_t charge= (type%2)? cluster->GetMax():cluster->GetQ();
+ Int_t ipad= 0;
+ if (irow>=row0) ipad=1;
+ if (irow>=row1) ipad=2;
+ //
+ //
+ //
+ AliTPCCalPad * gainMap = AliTPCcalibDB::Instance()->GetDedxGainFactor();
+ if (gainMap) {
+ //
+ // Get gainPad - pad by pad calibration
+ //
+ Float_t factor = 1;
+ AliTPCCalROC * roc = gainMap->GetCalROC(cluster->GetDetector());
+ if (irow < row0) { // IROC
+ factor = roc->GetValue(irow, TMath::Nint(cluster->GetPad()));
+ } else { // OROC
+ factor = roc->GetValue(irow - row0, TMath::Nint(cluster->GetPad()));
+ }
+ if (factor>0.5) gainPad=factor;
+ }
+ //
+ //do position and angular normalization
+ //
+ if (shapeNorm){
+ if (type<=1){
+ //
+ AliTPCTrackerPoint * point = GetTrackPoint(irow);
+ Float_t ty = TMath::Abs(point->GetAngleY());
+ Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
+
+ Float_t dr = (250.-TMath::Abs(cluster->GetZ()))/250.;
+ corrShape = parcl->Qnorm(ipad,type,dr,ty,tz);
+ }
+ }
+
+ if (posNorm>0){
+ //
+ // Do position normalization - relative distance to
+ // center of pad- time bin
+ // Work in progress
+ // corrPos = parcl->QnormPos(ipad,type, cluster->GetPad(),
+ // cluster->GetTimeBin(), cluster->GetZ(),
+ // cluster->GetSigmaY2(),cluster->GetSigmaZ2(),
+ // cluster->GetMax(),cluster->GetQ());
+ // scaled response function
+ Float_t yres0 = parcl->GetRMS0(0,ipad,0,0)/param->GetPadPitchWidth(cluster->GetDetector());
+ Float_t zres0 = parcl->GetRMS0(1,ipad,0,0)/param->GetZWidth();
+ //
+
+ AliTPCTrackerPoint * point = GetTrackPoint(irow);
+ Float_t ty = TMath::Abs(point->GetAngleY());
+ Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
+
+ if (type==1) corrPos =
+ parcl->QmaxCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
+ cluster->GetTimeBin(),ty,tz,yres0,zres0,0.4);
+ if (type==0) corrPos =
+ parcl->QtotCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
+ cluster->GetTimeBin(),ty,tz,yres0,zres0,cluster->GetQ(),2.5,0.4);
+ if (posNorm==3){
+ Float_t dr = (250.-TMath::Abs(cluster->GetZ()))/250.;
+ Double_t signtgl = (cluster->GetZ()*point->GetAngleZ()>0)? 1:-1;
+ Double_t p2 = TMath::Abs(TMath::Sin(TMath::ATan(ty)));
+ Float_t corrHis = parcl->QnormHis(ipad,type,dr,p2,TMath::Abs(point->GetAngleZ())*signtgl);
+ if (corrHis>0) corrPos*=corrHis;
+ }
- // for (Int_t of =0; of<3; of++){
- // for (Int_t i=indexde[of];i<indexde[of+1];i++)
- for (Int_t i =0; i<160;i++)
- {
- AliTPCTrackPoint * point = GetTrackPoint(i);
- if (point==0) continue;
- if (point->fIsShared){
- fNShared++;
- continue;
- }
- Int_t type = point->GetCPoint().GetType();
- if (type<0) continue;
- if (point->GetCPoint().GetMax()<5) continue;
- Float_t angley = point->GetTPoint().GetAngleY();
- Float_t anglez = point->GetTPoint().GetAngleZ();
- Float_t rsigmay = point->GetCPoint().GetSigmaY();
- Float_t rsigmaz = point->GetCPoint().GetSigmaZ();
- Float_t rsigma = TMath::Sqrt(rsigmay*rsigmaz);
-
- Float_t ampc = 0; // normalization to the number of electrons
- if (i>64){
- ampc = point->GetCPoint().GetMax();
- }
- else{
- ampc = point->GetCPoint().GetMax();
- }
- ampc *= 2.0; // put mean value to channel 50
- // ampc *= 0.565; // put mean value to channel 50
-
- Float_t w = 1.;
- Float_t z = TMath::Abs(point->GetCPoint().GetZ());
- if (i<64) {
- ampc /= 0.63;
- } else
- if (i>128){
- ampc /=1.51;
- }
- if (type<0) { //amp at the border - lower weight
- continue;
- }
- if (rsigma>1.5) ampc/=1.3; // if big backround
- angular[i] = TMath::Sqrt(1.+angley*angley+anglez*anglez);
- amp[i] = ampc/angular[i];
- weight[i] = w;
- anc++;
}
- TMath::Sort(159,amp,index,kFALSE);
- for (Int_t i=int(anc*low+0.5);i<int(anc*up+0.5);i++){
- inlimit[index[i]] = kTRUE; // take all clusters
+ if (padNorm==1){
+ //taken from OCDB
+ if (type==0 && parcl->QpadTnorm()) corrPadType = (*parcl->QpadTnorm())[ipad];
+ if (type==1 && parcl->QpadMnorm()) corrPadType = (*parcl->QpadMnorm())[ipad];
+
+ }
+ if (padNorm==2){
+ corrPadType =param->GetPadPitchLength(cluster->GetDetector(),cluster->GetRow());
+ //use hardwired - temp fix
+ if (type==0) corrNorm=3.;
+ if (type==1) corrNorm=1.;
+ }
+ //
+ amp[ncl]=charge;
+ amp[ncl]/=gainGG;
+ amp[ncl]/=gainPad;
+ amp[ncl]/=corrShape;
+ amp[ncl]/=corrPadType;
+ amp[ncl]/=corrPos;
+ amp[ncl]/=corrNorm;
+ //
+ ncl++;
}
+
+ if (type>3) return ncl;
+ TMath::Sort(ncl,amp, indexes, kFALSE);
+
+ if (ncl<10) return 0;
- // meanlog = amp[index[Int_t(anc*0.3)]];
- meanlog =10000.;
- for (Int_t of =0; of<3; of++){
- Float_t sumamp=0;
- Float_t sumamp2=0;
- Float_t sumw=0;
- for (Int_t i=indexde[of];i<indexde[of+1];i++)
- {
- if (inlimit[i]==kFALSE) continue;
- Float_t ampl = amp[i];
- ///angular[i];
- ampl = meanlog*TMath::Log(1.+ampl/meanlog);
+ Float_t suma=0;
+ Float_t suma2=0;
+ Float_t sumn=0;
+ Int_t icl0=TMath::Nint(ncl*low);
+ Int_t icl1=TMath::Nint(ncl*up);
+ for (Int_t icl=icl0; icl<icl1;icl++){
+ suma+=amp[indexes[icl]];
+ suma2+=amp[indexes[icl]]*amp[indexes[icl]];
+ sumn++;
+ }
+ Float_t mean =suma/sumn;
+ Float_t rms =TMath::Sqrt(TMath::Abs(suma2/sumn-mean*mean));
+ //
+ // do time-dependent correction for pressure and temperature variations
+ UInt_t runNumber = 1;
+ Float_t corrTimeGain = 1;
+ AliTPCTransform * trans = AliTPCcalibDB::Instance()->GetTransform();
+ const AliTPCRecoParam * recoParam = AliTPCcalibDB::Instance()->GetTransform()->GetCurrentRecoParam();
+ if (trans && recoParam->GetUseGainCorrectionTime()>0) {
+ runNumber = trans->GetCurrentRunNumber();
+ //AliTPCcalibDB::Instance()->SetRun(runNumber);
+ TObjArray * timeGainSplines = AliTPCcalibDB::Instance()->GetTimeGainSplinesRun(runNumber);
+ if (timeGainSplines) {
+ UInt_t time = trans->GetCurrentTimeStamp();
+ AliSplineFit * fitMIP = (AliSplineFit *) timeGainSplines->At(0);
+ AliSplineFit * fitFPcosmic = (AliSplineFit *) timeGainSplines->At(1);
+ if (fitMIP) {
+ corrTimeGain = AliTPCcalibDButil::EvalGraphConst(fitMIP, time);/*fitMIP->Eval(time);*/
+ } else {
+ if (fitFPcosmic) corrTimeGain = AliTPCcalibDButil::EvalGraphConst(fitFPcosmic, time);/*fitFPcosmic->Eval(time);*/
+ }
+ }
+ }
+ mean /= corrTimeGain;
+ rms /= corrTimeGain;
+ //
+ if (returnVal==1) return rms;
+ if (returnVal==2) return ncl;
+ return mean;
+}
+
+Float_t AliTPCseed::CookdEdxAnalytical(Double_t low, Double_t up, Int_t type, Int_t i1, Int_t i2, Int_t returnVal, Int_t rowThres, Int_t mode){
+
+ //
+ // calculates dedx using the cluster
+ // low - up specify trunc mean range - default form 0-0.7
+ // type - 1 - max charge or 0- total charge in cluster
+ // //2- max no corr 3- total+ correction
+ // i1-i2 - the pad-row range used for calculation
+ //
+ // posNorm - usage of pos normalization
+ // returnVal - 0 return mean
+ // - 1 return RMS
+ // - 2 return number of clusters
+ // - 3 ratio
+ // - 4 mean upper half
+ // - 5 mean - lower half
+ // - 6 third moment
+ // mode - 0 - linear
+ // - 1 - logatithmic
+ // rowThres - number of rows before and after given pad row to check for clusters below threshold
+ //
+ // normalization parametrization taken from AliTPCClusterParam
+ //
+ AliTPCClusterParam * parcl = AliTPCcalibDB::Instance()->GetClusterParam();
+ AliTPCParam * param = AliTPCcalibDB::Instance()->GetParameters();
+ if (!parcl) return 0;
+ if (!param) return 0;
+ Int_t row0 = param->GetNRowLow();
+ Int_t row1 = row0+param->GetNRowUp1();
+
+ Float_t amp[160];
+ Int_t indexes[160];
+ Int_t ncl=0;
+ Int_t nclBelowThr = 0; // counts number of clusters below threshold
+ //
+ //
+ Float_t gainGG = 1; // gas gain factor -always enabled
+ Float_t gainPad = 1; // gain map - used always
+ Float_t corrPos = 1; // local position correction - if posNorm enabled
+ //
+ //
+ //
+ if (AliTPCcalibDB::Instance()->GetParameters()){
+ gainGG= AliTPCcalibDB::Instance()->GetParameters()->GetGasGain()/20000; //relative gas gain
+ }
+ //
+ // extract time-dependent correction for pressure and temperature variations
+ //
+ UInt_t runNumber = 1;
+ Float_t corrTimeGain = 1;
+ TObjArray * timeGainSplines = 0x0;
+ TGraphErrors * grPadEqual = 0x0;
+ TGraphErrors* grChamberGain[3]={0x0,0x0,0x0};
+ //
+ AliTPCTransform * trans = AliTPCcalibDB::Instance()->GetTransform();
+ const AliTPCRecoParam * recoParam = AliTPCcalibDB::Instance()->GetTransform()->GetCurrentRecoParam();
+ //
+ if (recoParam->GetNeighborRowsDedx() == 0) rowThres = 0;
+ //
+ if (trans) {
+ runNumber = trans->GetCurrentRunNumber();
+ //AliTPCcalibDB::Instance()->SetRun(runNumber);
+ timeGainSplines = AliTPCcalibDB::Instance()->GetTimeGainSplinesRun(runNumber);
+ if (timeGainSplines && recoParam->GetUseGainCorrectionTime()>0) {
+ UInt_t time = trans->GetCurrentTimeStamp();
+ AliSplineFit * fitMIP = (AliSplineFit *) timeGainSplines->At(0);
+ AliSplineFit * fitFPcosmic = (AliSplineFit *) timeGainSplines->At(1);
+ if (fitMIP) {
+ corrTimeGain = AliTPCcalibDButil::EvalGraphConst(fitMIP, time); /*fitMIP->Eval(time);*/
+ } else {
+ if (fitFPcosmic) corrTimeGain = AliTPCcalibDButil::EvalGraphConst(fitFPcosmic, time); /*fitFPcosmic->Eval(time); */
+ }
//
- sumw += weight[i];
- sumamp += weight[i]*ampl;
- sumamp2 += weight[i]*ampl*ampl;
- norm[of] += angular[i]*weight[i];
- nc[of]++;
+ if (type==1) grPadEqual = (TGraphErrors * ) timeGainSplines->FindObject("TGRAPHERRORS_MEANQMAX_PADREGIONGAIN_BEAM_ALL");
+ if (type==0) grPadEqual = (TGraphErrors * ) timeGainSplines->FindObject("TGRAPHERRORS_MEANQTOT_PADREGIONGAIN_BEAM_ALL");
+ const char* names[3]={"SHORT","MEDIUM","LONG"};
+ for (Int_t iPadRegion=0; iPadRegion<3; ++iPadRegion)
+ grChamberGain[iPadRegion]=(TGraphErrors*)timeGainSplines->FindObject(Form("TGRAPHERRORS_MEAN_CHAMBERGAIN_%s_BEAM_ALL",names[iPadRegion]));
}
- if (sumw<1){
- SetdEdx(0);
- }
- else {
- norm[of] /= sumw;
- mean[of] = sumamp/sumw;
- sigma[of] = sumamp2/sumw-mean[of]*mean[of];
- if (sigma[of]>0.1)
- sigma[of] = TMath::Sqrt(sigma[of]);
- else
- sigma[of] = 1000;
- mean[of] = (TMath::Exp(mean[of]/meanlog)-1)*meanlog;
- }
}
+
+ const Float_t kClusterShapeCut = 1.5; // IMPPRTANT TO DO: move value to AliTPCRecoParam
+ const Float_t ktany = TMath::Tan(TMath::DegToRad()*10);
+ const Float_t kedgey =3.;
+ //
+ //
+ for (Int_t irow=i1; irow<i2; irow++){
+ AliTPCclusterMI* cluster = GetClusterPointer(irow);
+ if (!cluster && irow > 1 && irow < 157) {
+ Bool_t isClBefore = kFALSE;
+ Bool_t isClAfter = kFALSE;
+ for(Int_t ithres = 1; ithres <= rowThres; ithres++) {
+ AliTPCclusterMI * clusterBefore = GetClusterPointer(irow - ithres);
+ if (clusterBefore) isClBefore = kTRUE;
+ AliTPCclusterMI * clusterAfter = GetClusterPointer(irow + ithres);
+ if (clusterAfter) isClAfter = kTRUE;
+ }
+ if (isClBefore && isClAfter) nclBelowThr++;
+ }
+ if (!cluster) continue;
+ //
+ //
+ if (TMath::Abs(cluster->GetY())>cluster->GetX()*ktany-kedgey) continue; // edge cluster
+ //
+ AliTPCTrackerPoint * point = GetTrackPoint(irow);
+ if (point==0) continue;
+ Float_t rsigmay = TMath::Sqrt(point->GetSigmaY());
+ if (rsigmay > kClusterShapeCut) continue;
+ //
+ if (cluster->IsUsed(11)) continue; // remove shared clusters for PbPb
+ //
+ Float_t charge= (type%2)? cluster->GetMax():cluster->GetQ();
+ Int_t ipad= 0;
+ if (irow>=row0) ipad=1;
+ if (irow>=row1) ipad=2;
+ //
+ //
+ //
+ AliTPCCalPad * gainMap = AliTPCcalibDB::Instance()->GetDedxGainFactor();
+ if (gainMap) {
+ //
+ // Get gainPad - pad by pad calibration
+ //
+ Float_t factor = 1;
+ AliTPCCalROC * roc = gainMap->GetCalROC(cluster->GetDetector());
+ if (irow < row0) { // IROC
+ factor = roc->GetValue(irow, TMath::Nint(cluster->GetPad()));
+ } else { // OROC
+ factor = roc->GetValue(irow - row0, TMath::Nint(cluster->GetPad()));
+ }
+ if (factor>0.3) gainPad=factor;
+ }
+ //
+ // Do position normalization - relative distance to
+ // center of pad- time bin
- Float_t dedx =0;
- fSdEdx =0;
- fMAngular =0;
- //
- Int_t norm2 = 0;
- Int_t norm3 = 0;
- Float_t www[3] = {12.,14.,17.};
- //Float_t www[3] = {1.,1.,1.};
-
- for (Int_t i =0;i<3;i++){
- if (nc[i]>2&&nc[i]<1000){
- dedx += mean[i] *nc[i]*www[i]/sigma[i];
- fSdEdx += sigma[i]*(nc[i]-2)*www[i]/sigma[i];
- fMAngular += norm[i] *nc[i];
- norm2 += nc[i]*www[i]/sigma[i];
- norm3 += (nc[i]-2)*www[i]/sigma[i];
- }
- fDEDX[i] = mean[i];
- fSDEDX[i] = sigma[i];
- fNCDEDX[i]= nc[i];
- }
-
- if (norm3>0){
- dedx /=norm2;
- fSdEdx /=norm3;
- fMAngular/=norm2;
- }
- else{
- SetdEdx(0);
- return;
+ Float_t ty = TMath::Abs(point->GetAngleY());
+ Float_t tz = TMath::Abs(point->GetAngleZ()*TMath::Sqrt(1+ty*ty));
+ Float_t yres0 = parcl->GetRMS0(0,ipad,0,0)/param->GetPadPitchWidth(cluster->GetDetector());
+ Float_t zres0 = parcl->GetRMS0(1,ipad,0,0)/param->GetZWidth();
+
+ yres0 *=parcl->GetQnormCorr(ipad, type,0);
+ zres0 *=parcl->GetQnormCorr(ipad, type,1);
+ Float_t effLength=parcl->GetQnormCorr(ipad, type,4)*0.5;
+ Float_t effDiff =(parcl->GetQnormCorr(ipad, type,2)+parcl->GetQnormCorr(ipad, type,3))*0.5;
+ //
+ if (type==1) {
+ corrPos = parcl->GetQnormCorr(ipad, type,5)*
+ parcl->QmaxCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
+ cluster->GetTimeBin(),ty,tz,yres0,zres0,effLength,effDiff);
+ Float_t drm = 0.5-TMath::Abs(cluster->GetZ()/250.);
+ corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,0)*drm);
+ corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,1)*ty*ty);
+ corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,2)*tz*tz);
+ //
+ }
+ if (type==0) {
+ corrPos = parcl->GetQnormCorr(ipad, type,5)*
+ parcl->QtotCorrection(cluster->GetDetector(), cluster->GetRow(),cluster->GetPad(),
+ cluster->GetTimeBin(),ty,tz,yres0,zres0,cluster->GetQ(),2.5,effLength,effDiff);
+
+ Float_t drm = 0.5-TMath::Abs(cluster->GetZ()/250.);
+ corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,0)*drm);
+ corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,1)*ty*ty);
+ corrPos*=(1+parcl->GetQnormCorr(ipad, type+2,2)*tz*tz);
+ //
+ }
+ //
+ // pad region equalization outside of cluster param
+ //
+ Float_t gainEqualPadRegion = 1;
+ if (grPadEqual && recoParam->GetUseGainCorrectionTime()>0) gainEqualPadRegion = grPadEqual->Eval(ipad);
+ //
+ // chamber-by-chamber equalization outside gain map
+ //
+ Float_t gainChamber = 1;
+ if (grChamberGain[ipad] && recoParam->GetUseGainCorrectionTime()>0) gainChamber = grChamberGain[ipad]->Eval(cluster->GetDetector());
+ //
+ amp[ncl]=charge;
+ amp[ncl]/=gainGG;
+ amp[ncl]/=gainPad;
+ amp[ncl]/=corrPos;
+ amp[ncl]/=gainEqualPadRegion;
+ amp[ncl]/=gainChamber;
+ //
+ ncl++;
}
- // Float_t dedx1 =dedx;
-
- dedx =0;
- Float_t norm4 = 0;
- for (Int_t i =0;i<3;i++){
- if (nc[i]>2&&nc[i]<1000&&sigma[i]>3){
- //mean[i] = mean[i]*(1+0.08*(sigma[i]/(fSdEdx)-1.));
- dedx += mean[i] *(nc[i])/(sigma[i]);
- norm4 += (nc[i])/(sigma[i]);
+
+ if (type==2) return ncl;
+ TMath::Sort(ncl,amp, indexes, kFALSE);
+ //
+ if (ncl<10) return 0;
+ //
+ Double_t * ampWithBelow = new Double_t[ncl + nclBelowThr];
+ for(Int_t iCl = 0; iCl < ncl + nclBelowThr; iCl++) {
+ if (iCl < nclBelowThr) {
+ ampWithBelow[iCl] = amp[indexes[0]];
+ } else {
+ ampWithBelow[iCl] = amp[indexes[iCl - nclBelowThr]];
}
- fDEDX[i] = mean[i];
}
- if (norm4>0) dedx /= norm4;
-
+ //printf("DEBUG: %i shit %f", nclBelowThr, amp[indexes[0]]);
+ //
+ Float_t suma=0;
+ Float_t suma2=0;
+ Float_t suma3=0;
+ Float_t sumaS=0;
+ Float_t sumn=0;
+ // upper,and lower part statistic
+ Float_t sumL=0, sumL2=0, sumLN=0;
+ Float_t sumD=0, sumD2=0, sumDN=0;
+
+ Int_t icl0=TMath::Nint((ncl + nclBelowThr)*low);
+ Int_t icl1=TMath::Nint((ncl + nclBelowThr)*up);
+ Int_t iclm=TMath::Nint((ncl + nclBelowThr)*(low +(up+low)*0.5));
+ //
+ for (Int_t icl=icl0; icl<icl1;icl++){
+ if (ampWithBelow[icl]<0.1) continue;
+ Double_t camp=ampWithBelow[icl]/corrTimeGain;
+ if (mode==1) camp= TMath::Log(camp);
+ if (icl<icl1){
+ suma+=camp;
+ suma2+=camp*camp;
+ suma3+=camp*camp*camp;
+ sumaS+=TMath::Power(TMath::Abs(camp),1./3.);
+ sumn++;
+ }
+ if (icl>iclm){
+ sumL+=camp;
+ sumL2+=camp*camp;
+ sumLN++;
+ }
+ if (icl<=iclm){
+ sumD+=camp;
+ sumD2+=camp*camp;
+ sumDN++;
+ }
+ }
+ //
+ Float_t mean = 0;
+ Float_t meanL = 0;
+ Float_t meanD = 0; // lower half mean
+ if (sumn > 1e-30) mean =suma/sumn;
+ if (sumLN > 1e-30) meanL =sumL/sumLN;
+ if (sumDN > 1e-30) meanD =(sumD/sumDN);
+ /*
+ Float_t mean =suma/sumn;
+ Float_t meanL = sumL/sumLN;
+ Float_t meanD =(sumD/sumDN); // lower half mean
+ */
+
+ Float_t rms = 0;
+ Float_t mean2=0;
+ Float_t mean3=0;
+ Float_t meanS=0;
+ if(sumn>0){
+ rms = TMath::Sqrt(TMath::Abs(suma2/sumn-mean*mean));
+ mean2=suma2/sumn;
+ mean3=suma3/sumn;
+ meanS=sumaS/sumn;
+ }
+
+ if (mean2>0) mean2=TMath::Power(TMath::Abs(mean2),1./2.);
+ if (mean3>0) mean3=TMath::Power(TMath::Abs(mean3),1./3.);
+ if (meanS>0) meanS=TMath::Power(TMath::Abs(meanS),3.);
+ //
+ if (mode==1) mean=TMath::Exp(mean);
+ if (mode==1) meanL=TMath::Exp(meanL); // upper truncation
+ if (mode==1) meanD=TMath::Exp(meanD); // lower truncation
+ //
+ delete [] ampWithBelow;
- SetdEdx(dedx);
+
+ //
+ if (returnVal==1) return rms;
+ if (returnVal==2) return ncl;
+ if (returnVal==3) return Double_t(nclBelowThr)/Double_t(nclBelowThr+ncl);
+ if (returnVal==4) return meanL;
+ if (returnVal==5) return meanD;
+ if (returnVal==6) return mean2;
+ if (returnVal==7) return mean3;
+ if (returnVal==8) return meanS;
+ return mean;
+}
+
+
+
+
+Float_t AliTPCseed::CookShape(Int_t type){
+ //
+ //
+ //
+ //-----------------------------------------------------------------
+ // This funtion calculates dE/dX within the "low" and "up" cuts.
+ //-----------------------------------------------------------------
+ Float_t means=0;
+ Float_t meanc=0;
+ for (Int_t i =0; i<160;i++) {
+ AliTPCTrackerPoint * point = GetTrackPoint(i);
+ if (point==0) continue;
+
+ AliTPCclusterMI * cl = fClusterPointer[i];
+ if (cl==0) continue;
- //mi deDX
+ Float_t rsigmay = TMath::Sqrt(point->GetSigmaY());
+ Float_t rsigmaz = TMath::Sqrt(point->GetSigmaZ());
+ Float_t rsigma = (rsigmay+rsigmaz)*0.5;
+ if (type==0) means+=rsigma;
+ if (type==1) means+=rsigmay;
+ if (type==2) means+=rsigmaz;
+ meanc++;
+ }
+ Float_t mean = (meanc>0)? means/meanc:0;
+ return mean;
+}
+
+
+
+Int_t AliTPCseed::RefitTrack(AliTPCseed *seed, AliExternalTrackParam * parin, AliExternalTrackParam * parout){
+ //
+ // Refit the track
+ // return value - number of used clusters
+ //
+ //
+ const Int_t kMinNcl =10;
+ AliTPCseed *track=new AliTPCseed(*seed);
+ Int_t sector=-1;
+ // reset covariance
+ //
+ Double_t covar[15];
+ for (Int_t i=0;i<15;i++) covar[i]=0;
+ covar[0]=10.*10.;
+ covar[2]=10.*10.;
+ covar[5]=10.*10./(64.*64.);
+ covar[9]=10.*10./(64.*64.);
+ covar[14]=1*1;
+ //
+
+ Float_t xmin=1000, xmax=-10000;
+ Int_t imin=158, imax=0;
+ for (Int_t i=0;i<160;i++) {
+ AliTPCclusterMI *c=track->GetClusterPointer(i);
+ if (!c || (track->GetClusterIndex(i) & 0x8000)) continue;
+ if (sector<0) sector = c->GetDetector();
+ if (c->GetX()<xmin) xmin=c->GetX();
+ if (c->GetX()>xmax) xmax=c->GetX();
+ if (i<imin) imin=i;
+ if (i>imax) imax=i;
+ }
+ if(imax-imin<kMinNcl) {
+ delete track;
+ return 0 ;
+ }
+ // Not succes to rotate
+ if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
+ delete track;
+ return 0;
+ }
+ //
+ //
+ // fit from inner to outer row
+ //
+ AliExternalTrackParam paramIn;
+ AliExternalTrackParam paramOut;
+ Bool_t isOK=kTRUE;
+ Int_t ncl=0;
+ //
+ //
+ //
+ for (Int_t i=imin; i<=imax; i++){
+ AliTPCclusterMI *c=track->GetClusterPointer(i);
+ if (!c || (track->GetClusterIndex(i) & 0x8000)) continue;
+ // if (RejectCluster(c,track)) continue;
+ sector = (c->GetDetector()%18);
+ if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
+ //continue;
+ }
+ Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
+ Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
+ if (!track->PropagateTo(r[0])) {
+ isOK=kFALSE;
+ }
+ if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
+ }
+ if (!isOK) { delete track; return 0;}
+ track->AddCovariance(covar);
+ //
+ //
+ //
+ for (Int_t i=imax; i>=imin; i--){
+ AliTPCclusterMI *c=track->GetClusterPointer(i);
+ if (!c || (track->GetClusterIndex(i) & 0x8000)) continue;
+ //if (RejectCluster(c,track)) continue;
+ sector = (c->GetDetector()%18);
+ if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
+ //continue;
+ }
+ Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
+ Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
+ if (!track->PropagateTo(r[0])) {
+ isOK=kFALSE;
+ }
+ if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
+ }
+ //if (!isOK) { delete track; return 0;}
+ paramIn = *track;
+ track->AddCovariance(covar);
+ //
+ //
+ for (Int_t i=imin; i<=imax; i++){
+ AliTPCclusterMI *c=track->GetClusterPointer(i);
+ if (!c || (track->GetClusterIndex(i) & 0x8000)) continue;
+ sector = (c->GetDetector()%18);
+ if (!track->Rotate(TMath::DegToRad()*(sector%18*20.+10.)-track->GetAlpha())) {
+ //continue;
+ }
+ ncl++;
+ //if (RejectCluster(c,track)) continue;
+ Double_t r[3]={c->GetX(),c->GetY(),c->GetZ()};
+ Double_t cov[3]={0.01,0.,0.01}; //TODO: correct error parametrisation
+ if (!track->PropagateTo(r[0])) {
+ isOK=kFALSE;
+ }
+ if ( !((static_cast<AliExternalTrackParam*>(track)->Update(&r[1],cov)))) isOK=kFALSE;
+ }
+ //if (!isOK) { delete track; return 0;}
+ paramOut=*track;
+ //
+ //
+ //
+ if (parin) (*parin)=paramIn;
+ if (parout) (*parout)=paramOut;
+ delete track;
+ return ncl;
+}
+
+
+
+Bool_t AliTPCseed::RefitTrack(AliTPCseed* /*seed*/, Bool_t /*out*/){
+ //
+ //
+ //
+ return kFALSE;
+}
+
+
+
+
+
+
+void AliTPCseed::GetError(AliTPCclusterMI* cluster, AliExternalTrackParam * param,
+ Double_t& erry, Double_t &errz)
+{
+ //
+ // Get cluster error at given position
+ //
+ AliTPCClusterParam *clusterParam = AliTPCcalibDB::Instance()->GetClusterParam();
+ Double_t tany,tanz;
+ Double_t snp1=param->GetSnp();
+ tany=snp1/TMath::Sqrt((1.-snp1)*(1.+snp1));
+ //
+ Double_t tgl1=param->GetTgl();
+ tanz=tgl1/TMath::Sqrt((1.-snp1)*(1.+snp1));
+ //
+ Int_t padSize = 0; // short pads
+ if (cluster->GetDetector() >= 36) {
+ padSize = 1; // medium pads
+ if (cluster->GetRow() > 63) padSize = 2; // long pads
+ }
+
+ erry = clusterParam->GetError0Par( 0, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tany) );
+ errz = clusterParam->GetError0Par( 1, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tanz) );
+}
+
+
+void AliTPCseed::GetShape(AliTPCclusterMI* cluster, AliExternalTrackParam * param,
+ Double_t& rmsy, Double_t &rmsz)
+{
+ //
+ // Get cluster error at given position
+ //
+ AliTPCClusterParam *clusterParam = AliTPCcalibDB::Instance()->GetClusterParam();
+ Double_t tany,tanz;
+ Double_t snp1=param->GetSnp();
+ tany=snp1/TMath::Sqrt((1.-snp1)*(1.+snp1));
+ //
+ Double_t tgl1=param->GetTgl();
+ tanz=tgl1/TMath::Sqrt((1.-snp1)*(1.+snp1));
+ //
+ Int_t padSize = 0; // short pads
+ if (cluster->GetDetector() >= 36) {
+ padSize = 1; // medium pads
+ if (cluster->GetRow() > 63) padSize = 2; // long pads
+ }
+
+ rmsy = clusterParam->GetRMSQ( 0, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tany), TMath::Abs(cluster->GetMax()) );
+ rmsz = clusterParam->GetRMSQ( 1, padSize, (250.0 - TMath::Abs(cluster->GetZ())), TMath::Abs(tanz) ,TMath::Abs(cluster->GetMax()));
+}
+
+
+Double_t AliTPCseed::GetQCorrGeom(Float_t ty, Float_t tz){
+ //Geoetrical
+ //ty - tangent in local y direction
+ //tz - tangent
+ //
+ Float_t norm=TMath::Sqrt(1+ty*ty+tz*tz);
+ return norm;
+}
+
+Double_t AliTPCseed::GetQCorrShape(Int_t ipad, Int_t type,Float_t z, Float_t ty, Float_t tz, Float_t /*q*/, Float_t /*thr*/){
+ //
+ // Q normalization
+ //
+ // return value = Q Normalization factor
+ // Normalization - 1 - shape factor part for full drift
+ // 1 - electron attachment for 0 drift
+
+ // Input parameters:
+ //
+ // ipad - 0 short pad
+ // 1 medium pad
+ // 2 long pad
+ //
+ // type - 0 qmax
+ // - 1 qtot
+ //
+ //z - z position (-250,250 cm)
+ //ty - tangent in local y direction
+ //tz - tangent
+ //
+
+ AliTPCClusterParam * paramCl = AliTPCcalibDB::Instance()->GetClusterParam();
+ AliTPCParam * paramTPC = AliTPCcalibDB::Instance()->GetParameters();
+
+ if (!paramCl) return 1;
+ //
+ Double_t dr = 250.-TMath::Abs(z);
+ Double_t sy = paramCl->GetRMS0( 0,ipad, dr, TMath::Abs(ty));
+ Double_t sy0= paramCl->GetRMS0(0,ipad, 250, 0);
+ Double_t sz = paramCl->GetRMS0( 1,ipad, dr, TMath::Abs(tz));
+ Double_t sz0= paramCl->GetRMS0(1,ipad, 250, 0);
+
+ Double_t sfactorMax = TMath::Sqrt(sy0*sz0/(sy*sz));
+
+
+ Double_t dt = 1000000*(dr/paramTPC->GetDriftV()); //time in microsecond
+ Double_t attProb = TMath::Exp(-paramTPC->GetAttCoef()*paramTPC->GetOxyCont()*dt);
+ //
+ //
+ if (type==0) return sfactorMax*attProb;
+
+ return attProb;
+
+
+}
+
+
+//_______________________________________________________________________
+Float_t AliTPCseed::GetTPCClustInfo(Int_t nNeighbours, Int_t type, Int_t row0, Int_t row1)
+{
+ //
+ // TPC cluster information
+ // type 0: get fraction of found/findable clusters with neighbourhood definition
+ // 1: found clusters
+ // 2: findable (number of clusters above and below threshold)
+ //
+ // definition of findable clusters:
+ // a cluster is defined as findable if there is another cluster
+ // within +- nNeighbours pad rows. The idea is to overcome threshold
+ // effects with a very simple algorithm.
+ //
+
+ const Float_t kClusterShapeCut = 1.5; // IMPPRTANT TO DO: move value to AliTPCRecoParam
+ const Float_t ktany = TMath::Tan(TMath::DegToRad()*10);
+ const Float_t kedgey =3.;
+
+ Float_t ncl = 0;
+ Float_t nclBelowThr = 0; // counts number of clusters below threshold
+
+ for (Int_t irow=row0; irow<row1; irow++){
+ AliTPCclusterMI* cluster = GetClusterPointer(irow);
+
+ if (!cluster && irow > 1 && irow < 157) {
+ Bool_t isClBefore = kFALSE;
+ Bool_t isClAfter = kFALSE;
+ for(Int_t ithres = 1; ithres <= nNeighbours; ithres++) {
+ AliTPCclusterMI * clusterBefore = GetClusterPointer(irow - ithres);
+ if (clusterBefore) isClBefore = kTRUE;
+ AliTPCclusterMI * clusterAfter = GetClusterPointer(irow + ithres);
+ if (clusterAfter) isClAfter = kTRUE;
+ }
+ if (isClBefore && isClAfter) nclBelowThr++;
+ }
+ if (!cluster) continue;
+ //
+ //
+ if (TMath::Abs(cluster->GetY())>cluster->GetX()*ktany-kedgey) continue; // edge cluster
+ //
+ AliTPCTrackerPoint * point = GetTrackPoint(irow);
+ if (point==0) continue;
+ Float_t rsigmay = TMath::Sqrt(point->GetSigmaY());
+ if (rsigmay > kClusterShapeCut) continue;
+ //
+ if (cluster->IsUsed(11)) continue; // remove shared clusters for PbPb
+ ncl++;
+ }
+
+ if(ncl<10)
+ return 0;
+ if(type==0)
+ if(nclBelowThr+ncl>0)
+ return ncl/(nclBelowThr+ncl);
+ if(type==1)
+ return ncl;
+ if(type==2)
+ return ncl+nclBelowThr;
+ return 0;
+}
+//_______________________________________________________________________
+Int_t AliTPCseed::GetNumberOfClustersIndices() {
+ Int_t ncls = 0;
+ for (int i=0; i < 160; i++) {
+ if ((fIndex[i] & 0x8000) == 0)
+ ncls++;
+ }
+ return ncls;
+}
+
+//_______________________________________________________________________
+void AliTPCseed::Clear(Option_t*)
+{
+ // formally seed may allocate memory for clusters (althought this should not happen for
+ // the seeds in the pool). Hence we need this method for fwd. compatibility
+ if (fClusterOwner) for (int i=160;i--;) {delete fClusterPointer[i]; fClusterPointer[i] = 0;}
}
-*/
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff