dTree->GetEvent(fI);
if (digitsSPD->GetEntriesFast()!=0)
- FindClustersSPD(digitsSPD,clusters);
- else if(digitsSDD->GetEntriesFast()!=0)
- FindClustersSDD(digitsSDD,clusters);
- else if(digitsSSD->GetEntriesFast()!=0)
- FindClustersSSD(digitsSSD,clusters);
-
+ FindClustersSPD(digitsSPD,clusters);
+ else
+ if(digitsSDD->GetEntriesFast()!=0)
+ FindClustersSDD(digitsSDD,clusters);
+ else if(digitsSSD->GetEntriesFast()!=0)
+ FindClustersSSD(digitsSSD,clusters);
+
ncl+=clusters->GetEntriesFast();
cTree->Fill();
Error("Digits2Clusters", "no run loader found");
return;
}
+ runLoader->LoadKinematics();
AliLoader* itsLoader = runLoader->GetLoader("ITSLoader");
if (!itsLoader) {
Error("Digits2Clusters", "no loader for ITS found");
#include "AliITSsimulationFastPoints.h"
#include "AliITSRecPoint.h"
+/*
static void CheckLabels(Int_t lab[3]) {
//------------------------------------------------------------
// Tries to find mother's labels
else ;//cerr<<"CheckLabels : No empty labels !\n";
}
}
+*/
+static void CheckLabels(Int_t lab[3]) {
+ //------------------------------------------------------------
+ // Tries to find mother's labels
+ //------------------------------------------------------------
+
+ Int_t ntracks = gAlice->GetMCApp()->GetNtrack();
+ for (Int_t i=0;i<3;i++){
+ Int_t label = lab[i];
+ if (label>=0 && label<ntracks) {
+ TParticle *part=(TParticle*)gAlice->GetMCApp()->Particle(label);
+ if (part->P() < 0.005) {
+ Int_t m=part->GetFirstMother();
+ if (m<0) {
+ continue;
+ }
+ if (part->GetStatusCode()>0) {
+ continue;
+ }
+ lab[i]=m;
+ }
+ }
+ }
+
+}
+
+static void CheckLabels2(Int_t lab[10]) {
+ //------------------------------------------------------------
+ // Tries to find mother's labels
+ //------------------------------------------------------------
+
+ Int_t ntracks = gAlice->GetMCApp()->GetNtrack();
+ for (Int_t i=0;i<10;i++){
+ Int_t label = lab[i];
+ if (label>=0 && label<ntracks) {
+ TParticle *part=(TParticle*)gAlice->GetMCApp()->Particle(label);
+ if (part->P() < 0.005) {
+ Int_t m=part->GetFirstMother();
+ if (m<0) {
+ continue;
+ }
+ if (part->GetStatusCode()>0) {
+ continue;
+ }
+ lab[i]=m;
+ }
+ }
+ }
+ //compress labels -- if multi-times the same
+ Int_t lab2[10];
+ for (Int_t i=0;i<10;i++) lab2[i]=-2;
+ for (Int_t i=0;i<10 ;i++){
+ if (lab[i]<0) continue;
+ for (Int_t j=0;j<10 &&lab2[j]!=lab[i];j++){
+ if (lab2[j]<0) {
+ lab2[j]= lab[i];
+ break;
+ }
+ }
+ }
+ for (Int_t j=0;j<10;j++) lab[j]=lab2[j];
+
+}
+
+static void AddLabel(Int_t lab[10], Int_t label) {
+ for (Int_t i=0;i<10;i++){
+ if (label<0) break;
+ if (lab[i]==label) break;
+ if (lab[i]<0) {
+ lab[i]= label;
+ break;
+ }
+ }
+}
void AliITSclustererV2::RecPoints2Clusters
(const TClonesArray *points, Int_t idx, TClonesArray *clusters) {
lab[0]=p->GetLabel(0); lab[1]=p->GetLabel(1); lab[2]=p->GetLabel(2);
lab[3]=fNdet[idx];
CheckLabels(lab);
- new (cl[i]) AliITSclusterV2(lab,lp);
+ Int_t dummy[3]={0,0,0};
+ new (cl[i]) AliITSclusterV2(lab,lp, dummy);
}
}
lab[1]=-2;
lab[2]=-2;
lab[3]=fNdet[fI];
+ Int_t milab[10];
+ for (Int_t ilab=0;ilab<10;ilab++){
+ milab[ilab]=-2;
+ }
+
d=(AliITSdigitSPD*)digits->UncheckedAt(idx[0]);
Int_t ymin=d->GetCoord2(),ymax=ymin;
}
Float_t qq=d->GetSignal();
y+=qq*fYSPD[d->GetCoord2()]; z+=qq*fZSPD[d->GetCoord1()]; q+=qq;
- }
+ // MI addition - find all labels
+ for (Int_t dlab=0;dlab<3;dlab++){
+ Int_t digitlab = (d->GetTracks())[dlab];
+ if (digitlab<0) continue;
+ for (Int_t index=0;index<10;index++){
+ if (milab[index]<0) {
+ milab[index] = digitlab;
+ break;
+ }
+ if (milab[index]==digitlab) break;
+ }
+ }
+ }
y/=q; z/=q;
y-=fHwSPD; z-=fHlSPD;
Float_t lp[5];
lp[0]=-(-y+fYshift[fI]); if (fI<=fLastSPD1) lp[0]=-lp[0];
lp[1]= -z+fZshift[fI];
- lp[2]= fYpitchSPD*fYpitchSPD/12.;
- lp[3]= fZ1pitchSPD*fZ1pitchSPD/12.;
+ // Float_t factor=TMath::Max(double(ni-3.),1.5);
+ Float_t factor=1.5;
+ lp[2]= (fYpitchSPD*fYpitchSPD/12.)*factor;
+ lp[3]= (fZ1pitchSPD*fZ1pitchSPD/12.)*factor;
//lp[4]= q;
lp[4]= (zmax-zmin+1)*100 + (ymax-ymin+1);
- //CheckLabels(lab);
+ CheckLabels(lab);
+ CheckLabels2(milab);
+ CheckLabels2(milab);
+ milab[3]=fNdet[fI];
d=(AliITSdigitSPD*)digits->UncheckedAt(idx[0]);
- new (cl[n]) AliITSclusterV2(lab,lp); n++;
+ Int_t info[3] = {ni,0,1};
+ new (cl[n]) AliITSclusterV2(milab,lp,info); n++;
}
delete [] bins;
// hit[4] = q;
hit[4] = (zmax-zmin+1)*100 + (ymax-ymin+1);
- //CheckLabels(label);
+ CheckLabels(label);
+ Int_t info[3]={0,0,0};
new (clusters[iModule]->AddrAt(nClusters))
- AliITSclusterV2(label, hit);
+ AliITSclusterV2(label, hit,info);
nClusters++;
}
if (idx[k] < 0) continue; //removed peak
AliITSclusterV2 c;
MakeCluster(idx[k], nzBins, bins[s], msk[k], c);
+ //mi change
+ Int_t milab[10];
+ for (Int_t ilab=0;ilab<10;ilab++){
+ milab[ilab]=-2;
+ }
/*
Float_t s2 = c.GetSigmaY2()/c.GetQ() - c.GetY()*c.GetY();
AliBin *b=&bins[s][idx[k]];
AliITSdigitSDD* d=(AliITSdigitSDD*)digits->UncheckedAt(b->GetIndex());
Int_t l0=(d->GetTracks())[0];
- if (l0<0) {
+ //if (l0<0) {
b=&bins[s][idx[k]-1];
if (b->GetQ()>0) {
d=(AliITSdigitSDD*)digits->UncheckedAt(b->GetIndex());
l0=(d->GetTracks())[0];
+ AddLabel(milab, (d->GetTracks())[0]);
+ AddLabel(milab, (d->GetTracks())[1]);
+ AddLabel(milab, (d->GetTracks())[2]);
}
- }
- if (l0<0) {
+ //}
+ //if (l0<0) {
b=&bins[s][idx[k]+1];
if (b->GetQ()>0) {
d=(AliITSdigitSDD*)digits->UncheckedAt(b->GetIndex());
l0=(d->GetTracks())[0];
+ AddLabel(milab, (d->GetTracks())[0]);
+ AddLabel(milab, (d->GetTracks())[1]);
+ AddLabel(milab, (d->GetTracks())[2]);
}
- }
- if (l0<0) {
+ // }
+ //if (l0<0) {
b=&bins[s][idx[k]-nzBins];
if (b->GetQ()>0) {
d=(AliITSdigitSDD*)digits->UncheckedAt(b->GetIndex());
l0=(d->GetTracks())[0];
+ AddLabel(milab, (d->GetTracks())[0]);
+ AddLabel(milab, (d->GetTracks())[1]);
+ AddLabel(milab, (d->GetTracks())[2]);
}
- }
- if (l0<0) {
+ //}
+ //if (l0<0) {
b=&bins[s][idx[k]+nzBins];
if (b->GetQ()>0) {
d=(AliITSdigitSDD*)digits->UncheckedAt(b->GetIndex());
l0=(d->GetTracks())[0];
+ AddLabel(milab, (d->GetTracks())[0]);
+ AddLabel(milab, (d->GetTracks())[1]);
+ AddLabel(milab, (d->GetTracks())[2]);
}
- }
+ //}
- if (l0<0) {
+ //if (l0<0) {
b=&bins[s][idx[k]+nzBins+1];
if (b->GetQ()>0) {
d=(AliITSdigitSDD*)digits->UncheckedAt(b->GetIndex());
l0=(d->GetTracks())[0];
+ AddLabel(milab, (d->GetTracks())[0]);
+ AddLabel(milab, (d->GetTracks())[1]);
+ AddLabel(milab, (d->GetTracks())[2]);
}
- }
- if (l0<0) {
+ //}
+ //if (l0<0) {
b=&bins[s][idx[k]+nzBins-1];
if (b->GetQ()>0) {
d=(AliITSdigitSDD*)digits->UncheckedAt(b->GetIndex());
l0=(d->GetTracks())[0];
+ AddLabel(milab, (d->GetTracks())[0]);
+ AddLabel(milab, (d->GetTracks())[1]);
+ AddLabel(milab, (d->GetTracks())[2]);
}
- }
- if (l0<0) {
+ //}
+ //if (l0<0) {
b=&bins[s][idx[k]-nzBins+1];
if (b->GetQ()>0) {
d=(AliITSdigitSDD*)digits->UncheckedAt(b->GetIndex());
l0=(d->GetTracks())[0];
+ AddLabel(milab, (d->GetTracks())[0]);
+ AddLabel(milab, (d->GetTracks())[1]);
+ AddLabel(milab, (d->GetTracks())[2]);
}
- }
- if (l0<0) {
+ //}
+ //if (l0<0) {
b=&bins[s][idx[k]-nzBins-1];
if (b->GetQ()>0) {
d=(AliITSdigitSDD*)digits->UncheckedAt(b->GetIndex());
l0=(d->GetTracks())[0];
+ AddLabel(milab, (d->GetTracks())[0]);
+ AddLabel(milab, (d->GetTracks())[1]);
+ AddLabel(milab, (d->GetTracks())[2]);
}
- }
+ //}
{
Int_t lab[3];
lab[0]=(d->GetTracks())[0];
lab[1]=(d->GetTracks())[1];
lab[2]=(d->GetTracks())[2];
- //CheckLabels(lab);
- c.SetLabel(lab[0],0);
- c.SetLabel(lab[1],1);
- c.SetLabel(lab[2],2);
+ CheckLabels(lab);
+ CheckLabels2(milab);
+ c.SetLabel(milab[0],0);
+ c.SetLabel(milab[1],1);
+ c.SetLabel(milab[2],2);
+ c.SetLayer(3);
}
}
Float_t lp[5];
lp[0]=-(-ybest+fYshift[fI]);
lp[1]= -zbest+fZshift[fI];
- lp[2]=0.0025*0.0025; //SigmaY2
- lp[3]=0.110*0.110; //SigmaZ2
+ lp[2]=0.0025*0.0025*1.5; //SigmaY2 - 1.5 safety factor
+ lp[3]=0.110*0.110*1.5; //SigmaZ2 - 1.5 safety factor
if (pos[i].GetNd()+neg[j].GetNd() > 4) {
lp[2]*=9;
lp[3]*=9;
}
lp[4]=qbest; //Q
-
- //CheckLabels(lab);
- new (cl[ncl]) AliITSclusterV2(lab,lp); ncl++;
+ Int_t milab[10];
+ for (Int_t ilab=0;ilab<10;ilab++) milab[ilab]=-2;
+ milab[0]=pos[i].GetLabel(0);
+ milab[1]=neg[j].GetLabel(0);
+ milab[2]=pos[i].GetLabel(1);
+ milab[3]=neg[j].GetLabel(1);
+ milab[4]=pos[i].GetLabel(2);
+ milab[5]=neg[j].GetLabel(2);
+ //
+ CheckLabels(lab);
+ CheckLabels2(milab);
+ milab[3]=(((i<<10) + j)<<10) + idet; // pos|neg|det
+ Int_t info[3] = {0,0,5};
+ new (cl[ncl]) AliITSclusterV2(milab,lp,info); ncl++;
}
}
/*
branch->SetAddress(&clusters);
Int_t j=0;
+ Int_t detector=0;
for (Int_t i=0; i<kMaxLayer; i++) {
Int_t ndet=fgLayers[i].GetNdetectors();
Int_t jmax = j + fgLayers[i].GetNladders()*ndet;
Int_t ncl=clusters->GetEntriesFast();
while (ncl--) {
AliITSclusterV2 *c=(AliITSclusterV2*)clusters->UncheckedAt(ncl);
+ detector = c->GetDetectorIndex();
fgLayers[i].InsertCluster(new AliITSclusterV2(*c));
}
clusters->Delete();
+ //add dead zone virtual "cluster"
+
+ if (i<1){
+ for (Float_t ydead = -2.; ydead < 2. ; ydead+=0.05){
+ Int_t lab[4] = {0,0,0,detector};
+ Int_t info[3] = {0,0,0};
+ Float_t hit[5]={ydead,0,1,0.01,0};
+ fgLayers[i].InsertCluster(new AliITSclusterV2(lab, hit, info));
+ //
+ hit[1]=-7.;
+ fgLayers[i].InsertCluster(new AliITSclusterV2(lab, hit, info));
+ }
+ }
+
}
+ //
fgLayers[i].ResetRoad(); //road defined by the cluster density
}
delete t;
continue;
}
- if (TMath::Abs(t->GetD())>4) {
+ if (TMath::Abs(t->GetD())>5) {
delete t;
continue;
}
delete t;
continue;
}
+ t->fReconstructed = kFALSE;
itsTracks.AddLast(t);
}
} /* End Read ESD tracks */
for (fPass=0; fPass<2; fPass++) {
Int_t &constraint=fConstraint[fPass]; if (constraint<0) continue;
for (Int_t i=0; i<nentr; i++) {
+ cerr<<fPass<<" "<<i<<'\r';
fCurrentEsdTrack = i;
AliITStrackV2 *t=(AliITStrackV2*)itsTracks.UncheckedAt(i);
- if (t==0) continue; //this track has been already tracked
+ if (t==0) continue; //this track has been already tracked
+ if (t->fReconstructed) continue; //this track was already "succesfully" reconstructed
+ if ( (TMath::Abs(t->GetD(GetX(),GetY())) >2.) && fConstraint[fPass]) continue;
+ if ( (TMath::Abs(t->GetZat(GetX())-GetZ())>2.) && fConstraint[fPass]) continue;
+
Int_t tpcLabel=t->GetLabel(); //save the TPC track label
ResetTrackToFollow(*t);
}
}
- CompressTrackHypothesys(fCurrentEsdTrack,5); //MI change
+ SortTrackHypothesys(fCurrentEsdTrack,0.9); //MI change
+ CompressTrackHypothesys(fCurrentEsdTrack,0.90,2); //MI change
/*
if (fBestTrack.GetNumberOfClusters() == 0) continue;
delete itsTracks.RemoveAt(i);
ntrk++;
*/
- AliITStrackV2 * besttrack = GetBestHypothesys(fCurrentEsdTrack,t);
+ AliITStrackV2 * besttrack = GetBestHypothesys(fCurrentEsdTrack,t,5);
if (!besttrack) continue;
besttrack->SetLabel(tpcLabel);
besttrack->CookdEdx();
+ besttrack->fFakeRatio=1.;
CookLabel(besttrack,0.); //For comparison only
- besttrack->UpdateESDtrack(AliESDtrack::kITSin);
- delete itsTracks.RemoveAt(i);
+ // besttrack->UpdateESDtrack(AliESDtrack::kITSin);
+
+ if (besttrack->GetChi2()/besttrack->GetNumberOfClusters()>3.5){
+ if ( (TMath::Abs(besttrack->GetD(GetX(),GetY()))>0.4) && fConstraint[fPass]) {
+ CompressTrackHypothesys(fCurrentEsdTrack,0.0,0);
+ continue;
+ }
+ if ( (TMath::Abs(besttrack->GetZat(GetX()) -GetZ() )>0.4) && fConstraint[fPass]){
+ CompressTrackHypothesys(fCurrentEsdTrack,0.0,0);
+ continue;
+ }
+ }
+
+ //delete itsTracks.RemoveAt(i);
+ t->fReconstructed = kTRUE;
ntrk++;
}
}
+
+ for (Int_t i=0; i<nentr; i++) {
+ fCurrentEsdTrack = i;
+ AliITStrackV2 *t=(AliITStrackV2*)itsTracks.UncheckedAt(i);
+ if (t==0) continue;
+ Int_t tpcLabel=t->GetLabel(); //save the TPC track label
+ cerr<<i<<'\r';
+ AliITStrackV2 * besttrack = GetBestHypothesysMIP(fCurrentEsdTrack,t);
+ if (!besttrack) continue;
+
+ besttrack->SetLabel(tpcLabel);
+ besttrack->CookdEdx();
+ besttrack->fFakeRatio=1.;
+ CookLabel(besttrack,0.); //For comparison only
+ besttrack->UpdateESDtrack(AliESDtrack::kITSin);
+ }
+ //
+
itsTracks.Delete();
//
Int_t entries = fTrackHypothesys.GetEntriesFast();
//--------------------------------------------------------------------
//This function finds a track prolongation
//--------------------------------------------------------------------
- Int_t skipped=0;
while (fI>fLastLayerToTrackTo) {
Int_t i=fI-1;
return;
}
- if (TMath::Abs(fTrackToFollow.GetZ()-GetZ()) > r+dz) return;
+ // if (TMath::Abs(fTrackToFollow.GetZ()-GetZ()) > r+dz) return;
//Double_t dy=4*TMath::Sqrt(track.GetSigmaY2() + kSigmaY2[i]);
+ if (TMath::Abs(track.GetSnp()>kMaxSnp)) {
+ fI--;
+ continue; // MI
+ }
if (dy < 0.5*TMath::Abs(track.GetSnp())) dy=0.5*TMath::Abs(track.GetSnp());
if (dy > kMaxRoad) {
//Warning("FollowProlongation","too broad road in Y !\n");
//take another prolongation
if (!TakeNextProlongation()){
- skipped++;
- if (fLayersNotToSkip[fI]||skipped>1) return;
+ //skipped++;
+ fTrackToFollow.fNSkipped++;
+ if (fLayersNotToSkip[fI]||fTrackToFollow.fNSkipped>1) return;
}
+ if (fTrackToFollow.fNUsed>1) return;
+ if (fTrackToFollow.fNUsed+fTrackToFollow.fNSkipped>1) return;
+ if ( (fI<3) && ( fTrackToFollow.GetChi2()/fTrackToFollow.GetNumberOfClusters()>kChi2PerCluster)) return;
}
//deal with the best track
Int_t ncl=fTrackToFollow.GetNumberOfClusters();
Int_t nclb=fBestTrack.GetNumberOfClusters();
if (ncl){
- if ( (ncl>1) && (nclb>3) && ((fTrackToFollow.GetChi2()/ncl)<(2*fBestTrack.GetChi2()/(nclb))))
+ if (ncl<4) return;
+ if ( (ncl<6) && (fTrackToFollow.GetChi2()/float(ncl))>3) return;
+ if (fTrackToFollow.GetChi2()/ncl>5.5) return;
+ fTrackToFollow.CookdEdx();
+ if (fTrackToFollow.fESDtrack->GetTPCsignal()>80.)
+ if ((fTrackToFollow.GetdEdx()/fTrackToFollow.fESDtrack->GetTPCsignal())<0.35){
+ // mismatch in dedx
+ return;
+ }
+ //
+ fTrackToFollow.SetLabel(fTrackToFollow.fESDtrack->GetLabel());
+ CookLabel(&fTrackToFollow,0.); //
+ //
+ if ( (nclb>3) && ((fTrackToFollow.GetChi2()/ncl)<(3*fBestTrack.GetChi2()/(nclb))))
AddTrackHypothesys(new AliITStrackV2(fTrackToFollow), fCurrentEsdTrack);
- else if (ncl>3) AddTrackHypothesys(new AliITStrackV2(fTrackToFollow), fCurrentEsdTrack);
+ else
+ if (ncl>3) AddTrackHypothesys(new AliITStrackV2(fTrackToFollow), fCurrentEsdTrack);
if (ncl >= nclb) {
Double_t chi2=fTrackToFollow.GetChi2();
if (chi2/ncl < kChi2PerCluster) {
Double_t chi2=12345.;
while ((c=layer.GetNextCluster(ci))!=0) {
Int_t idet=c->GetDetectorIndex();
-
if (fTrackToFollow.GetDetectorIndex()!=idet) {
const AliITSdetector &det=layer.GetDetector(idet);
ResetTrackToFollow(fTracks[fI]);
if (chi2>=kMaxChi2) return 0;
if (!c) return 0;
+ if (c->IsUsed()&&c->GetNy()<5) { //shared factor
+ chi2+=1;
+ chi2*=2*(1./(TMath::Max(c->GetNy(),1)));
+ }
+ if (c->GetQ()==0){ //dead zone virtual cluster
+ chi2*=4.;
+ chi2+=20;
+ fTrackToFollow.fNUsed++;
+ return 1;
+ }
+ //if ((fI<2)&&chi2>kMaxChi2In) return 0;
if (!fTrackToFollow.Update(c,chi2,(fI<<28)+ci)) {
//Warning("TakeNextProlongation","filtering failed !\n");
return 0;
}
-
+ if (c->IsUsed()&&c->GetNy()<5) fTrackToFollow.fNUsed++;
if (fTrackToFollow.GetNumberOfClusters()>1)
if (TMath::Abs(fTrackToFollow.GetD())>4) return 0;
Double_t d=GetEffectiveThickness(0,0); //Think of this !!!!
Double_t xyz[]={GetX(),GetY(),GetZ()};
Double_t ers[]={GetSigmaX(),GetSigmaY(),GetSigmaZ()};
+ Double_t deltad = TMath::Abs(fTrackToFollow.GetD(GetX(),GetY()));
+ Double_t deltaz = TMath::Abs(fTrackToFollow.GetZat(GetX())-GetZ());
+
+ if ( (fI==4) && (deltad>2.0 || deltaz>1.5)) return 0; // don't "improve" secondaries
+ if ( (fI==3) && (deltad>1.5 || deltaz>0.9)) return 0; // don't "improve" secondaries
+ if ( (fI==2) && (deltad>0.9 || deltaz>0.6)) return 1; // don't "improve" secondaries
+ if ( (fI==1) && (deltad>0.3 || deltaz>0.3)) return 1; // don't "improve" secondaries
+ if ( (fI==0) && (deltad>0.1 || deltaz>0.1)) return 1; // don't "improve" secondaries
+
fTrackToFollow.Improve(d,xyz,ers);
}
//--------------------------------------------------------------------
delete[] fDetectors;
for (Int_t i=0; i<fN; i++) delete fClusters[i];
+ for (Int_t i=0; i<kMaxClusterPerLayer;i++) fClusterWeight[i]=0;
}
void AliITStrackerV2::AliITSlayer::ResetClusters() {
// This function removes loaded clusters
//--------------------------------------------------------------------
for (Int_t i=0; i<fN; i++) delete fClusters[i];
+ for (Int_t i=0; i<kMaxClusterPerLayer;i++) fClusterWeight[i]=0;
fN=0;
fI=0;
}
+void AliITStrackerV2::AliITSlayer::ResetWeights() {
+ //--------------------------------------------------------------------
+ // This function reset weights of the clusters
+ //--------------------------------------------------------------------
+ for (Int_t i=0; i<kMaxClusterPerLayer;i++) fClusterWeight[i]=0;
+}
+
void AliITStrackerV2::AliITSlayer::ResetRoad() {
//--------------------------------------------------------------------
// This function calculates the road defined by the cluster density
for (Int_t i=fI; i<fN; i++) {
const AliITSclusterV2 *c=fClusters[i];
if (c->GetZ() > fZmax) break;
- if (c->IsUsed()) continue;
+ // if (c->IsUsed()) continue;
const AliITSdetector &det=GetDetector(c->GetDetectorIndex());
Double_t y=fR*det.GetPhi() + c->GetY();
return kTRUE;
}
+
+Float_t *AliITStrackerV2::GetWeight(Int_t index) {
+ //--------------------------------------------------------------------
+ // Return pointer to a given cluster
+ //--------------------------------------------------------------------
+ Int_t l=(index & 0xf0000000) >> 28;
+ Int_t c=(index & 0x0fffffff) >> 00;
+ return fgLayers[l].GetWeight(c);
+}
+
+
+
void AliITStrackerV2::UseClusters(const AliKalmanTrack *t, Int_t from) const {
//--------------------------------------------------------------------
// This function marks clusters assigned to the track
array->AddLast(track);
}
-void AliITStrackerV2::CompressTrackHypothesys(Int_t esdindex, Int_t maxsize)
+void AliITStrackerV2::SortTrackHypothesys(Int_t esdindex, Float_t likelihoodlevel)
{
//-------------------------------------------------------------------
// compress array of track hypothesys
if (esdindex>fTrackHypothesys.GetEntriesFast()) return;
if (! (fTrackHypothesys.At(esdindex)) ) return;
TObjArray * array = (TObjArray*) fTrackHypothesys.At(esdindex);
- Int_t entries = array->GetEntries();
- if (entries<maxsize) return;
- Float_t * chi2 = new Float_t[entries];
- Int_t * index = new Int_t[entries];
- Int_t current=0;
+ Int_t entries = array->GetEntriesFast();
+
+ Float_t * chi2 = new Float_t[entries];
+ Float_t * probability = new Float_t[entries];
+ Float_t sumprobabilityall=0;
+ Int_t * index = new Int_t[entries];
+ //
//
- for (Int_t i=0;i<array->GetEntriesFast();i++){
- AliITStrackV2 * track = (AliITStrackV2*)array->At(i);
- if (track)
- chi2[current] = track->GetNumberOfClusters()+0.001+track->GetChi2()/track->GetNumberOfClusters();
+ for (Int_t itrack=0;itrack<array->GetEntriesFast();itrack++){
+ AliITStrackV2 * track = (AliITStrackV2*)array->At(itrack);
+ //
+ if (track && track->GetNumberOfClusters()>(track->fNUsed+track->fNSkipped)){
+ //
+ chi2[itrack] = track->GetChi2()/(track->GetNumberOfClusters()-track->fNUsed-track->fNSkipped);
+ if (track->fESDtrack)
+ if (track->fESDtrack->GetTPCsignal()>80){
+ track->CookdEdx();
+ if ((track->GetdEdx()/track->fESDtrack->GetTPCsignal())<0.4){
+ Float_t factor = 2.+10.*(0.6-track->GetdEdx()/track->fESDtrack->GetTPCsignal());
+ chi2[itrack]*= factor; //mismatch in dEdx
+ }
+ }
+ }
else
- chi2[current] = 100000000;
- current++;
+ chi2[itrack] = 10000000.;
+ probability[itrack] = 1./(0.3+chi2[itrack]);
+ sumprobabilityall+=probability[itrack];
}
- TMath::Sort(current,chi2,index,kFALSE);
+
+ TMath::Sort(entries,chi2,index,kFALSE);
TObjArray * newarray = new TObjArray();
- maxsize = TMath::Min(current, maxsize);
- for (Int_t i=0;i<maxsize;i++){
- newarray->AddLast(array->RemoveAt(index[i]));
+ Float_t sumprobability = 0.;
+ for (Int_t i=0;i<entries;i++){
+ AliITStrackV2 * track = (AliITStrackV2*)array->At(index[i]);
+ if (!track) break;
+ if (chi2[index[i]]<30){
+ newarray->AddLast(array->RemoveAt(index[i]));
+ track->fChi2MIP[0] = chi2[index[i]]; // base chi 2
+ sumprobability+= probability[index[i]]/sumprobabilityall;
+ if (sumprobability> likelihoodlevel) break;
+ }
+ else{
+ delete array->RemoveAt(index[i]);
+ }
}
+
array->Delete();
delete fTrackHypothesys.RemoveAt(esdindex);
fTrackHypothesys.AddAt(newarray,esdindex);
}
+void AliITStrackerV2::CompressTrackHypothesys(Int_t esdindex, Float_t likelihoodlevel, Int_t maxsize)
+{
+ //
+ //
+ if (esdindex>fTrackHypothesys.GetEntriesFast()) return;
+ if (! (fTrackHypothesys.At(esdindex)) ) return;
+ TObjArray * array = (TObjArray*) fTrackHypothesys.At(esdindex);
+ Int_t entries = array->GetEntriesFast();
+ //
+ if (likelihoodlevel>0.000001){
+ Float_t *probability = new Float_t[entries];
+ for (Int_t i=0;i<entries;i++) probability[i]=0.;
+ Float_t sumprobabilityall=0;
+ Int_t *index = new Int_t[entries];
+
+ for (Int_t itrack=0;itrack<entries;itrack++){
+ AliITStrackV2 * track = (AliITStrackV2*)array->At(itrack);
+ probability[itrack]=0;
+ if (!track) continue;
+ probability[itrack] = 1./(0.3+track->fChi2MIP[0]);
+ sumprobabilityall += probability[itrack];
+ //
+ }
+ if (sumprobabilityall<=0.000000000000001){
+ return;
+ }
+ for (Int_t itrack=0;itrack<entries;itrack++){
+ probability[itrack]/=sumprobabilityall;
+ }
+
+ TMath::Sort(entries, probability, index, kTRUE);
+ //
+ TObjArray * newarray = new TObjArray();
+ Float_t sumprobability = 0.;
+ for (Int_t i=0;i<entries;i++){
+ AliITStrackV2 * track = (AliITStrackV2*)array->At(index[i]);
+ if (!track) continue;
+ newarray->AddLast(array->RemoveAt(index[i]));
+ sumprobability+= probability[index[i]];
+ if (sumprobability> likelihoodlevel) break;
+ if (i>maxsize) break;
+ }
+
+ array->Delete();
+ delete fTrackHypothesys.RemoveAt(esdindex);
+ fTrackHypothesys.AddAt(newarray,esdindex);
+ //
+ delete []index;
+ delete []probability;
+ }
+ else{
+ array->Delete();
+ delete fTrackHypothesys.RemoveAt(esdindex);
+ }
+}
+
-AliITStrackV2 * AliITStrackerV2::GetBestHypothesys(Int_t esdindex, AliITStrackV2 * original)
+AliITStrackV2 * AliITStrackerV2::GetBestHypothesys(Int_t esdindex, AliITStrackV2 * original, Int_t checkmax)
{
//-------------------------------------------------------------
// try to find best hypothesy
// currently - minimal chi2 of track+backpropagated track+matching to the tpc track
//-------------------------------------------------------------
+ if (fTrackHypothesys.GetEntriesFast()<=esdindex) return 0;
TObjArray * array = (TObjArray*) fTrackHypothesys.At(esdindex);
if (!array) return 0;
Int_t entries = array->GetEntriesFast();
if (!entries) return 0;
Float_t minchi2 = 100000;
- Int_t maxn = 2;
+ Int_t maxn = 3;
AliITStrackV2 * besttrack=0;
+ Int_t accepted =0;
+ Int_t maxindex=0;
+ //
+ Float_t sumz2=0;
+ Float_t sumy2=0;
+ Float_t sumall=0;
+ for (Int_t itrack=0;itrack<entries; itrack++){
+ AliITStrackV2 * track = (AliITStrackV2*)array->At(itrack);
+ if (!track) continue;
+ sumall++;
+ sumz2+=track->GetSigmaZ2();
+ sumy2+=track->GetSigmaY2();
+ }
+ sumz2/=sumall;
+ sumy2/=sumall;
+
+ Float_t dedxmismatch=1;
+ for (Int_t i=0;i<entries;i++){
+ maxindex = i;
+ AliITStrackV2 * track = (AliITStrackV2*)array->At(i);
+ if (!track) continue;
+ track->fChi2MIP[1] = 1000000;
+ track->fChi2MIP[2] = 1000000;
+
+ if ( (track->GetNumberOfClusters()-track->fNSkipped-track->fNUsed)<2) continue;
+ //
+ if (track->fESDtrack)
+ if (track->fESDtrack->GetTPCsignal()>80){
+ track->CookdEdx();
+ if ((track->GetdEdx()/track->fESDtrack->GetTPCsignal())<0.4){
+ //mismatch in dEdx
+ dedxmismatch= 2.+ 10.*(0.6-track->GetdEdx()/track->fESDtrack->GetTPCsignal());
+ }
+ }
+
+ // track->SetLabel(original->GetLabel());
+ //CookLabel(track,0.0);
+ //if (track->GetFakeRatio()>0.01) continue;
+ //
+ //
+ // backtrack
+ AliITStrackV2 * backtrack = new AliITStrackV2(*track);
+ backtrack->ResetCovariance();
+ backtrack->ResetClusters();
+ Double_t x = original->GetX();
+ if (!RefitAt(x,backtrack,track)){
+ delete backtrack;
+ delete array->RemoveAt(i);
+ continue;
+ }
+ if ( (backtrack->GetChi2() / float(backtrack->GetNumberOfClusters()-track->fNSkipped-track->fNUsed-0.5))>6)
+ {
+ delete backtrack;
+ delete array->RemoveAt(i);
+ continue;
+ }
+ Double_t deltac = backtrack->GetC()-original->GetC();
+ Double_t deltatgl = backtrack->GetTgl()-original->GetTgl();
+ //
+ Double_t poolc2 = (deltac*deltac)/(original->fC44+backtrack->fC44);
+ Double_t pooltgl2 = (deltatgl*deltatgl)/(original->fC33+backtrack->fC33);
+ if ((poolc2+pooltgl2)>32){ //4 sigma
+ delete backtrack;
+ delete array->RemoveAt(i);
+ continue;
+ }
+ //Double_t bpoolc = (deltac*deltac)/(original->fC44);
+ //Double_t bpooltgl = (deltatgl*deltatgl)/(original->fC33);
+
+ //
+ //forward track - without constraint
+ AliITStrackV2 * forwardtrack = new AliITStrackV2(*original);
+ // forwardtrack->ResetCovariance();
+ forwardtrack->ResetClusters();
+ x = track->GetX();
+ if (!RefitAt(x,forwardtrack,track)){
+ delete forwardtrack;
+ delete backtrack;
+ delete array->RemoveAt(i);
+ continue;
+ }
+ if ( (forwardtrack->GetChi2()/float(forwardtrack->GetNumberOfClusters()-track->fNSkipped-track->fNUsed))>6)
+ {
+ delete forwardtrack;
+ delete array->RemoveAt(i);
+ continue;
+ }
+ //
+ accepted++;
+ if (accepted>checkmax){
+ delete backtrack;
+ delete forwardtrack;
+ break;
+ }
+ Double_t chi2 = (backtrack->GetChi2()/(backtrack->GetNumberOfClusters()-1-track->fNSkipped-track->fNUsed)+
+ forwardtrack->GetChi2()/(forwardtrack->GetNumberOfClusters()-track->fNSkipped-track->fNUsed));
+ // bpoolc+bpooltgl;
+ // chi2 *= (forwardtrack->GetSigmaZ2()/sumz2+forwardtrack->GetSigmaY2()/sumy2);
+ chi2 *= dedxmismatch;
+ //
+ //
+ track->fChi2MIP[1] = backtrack->GetChi2()/(backtrack->GetNumberOfClusters()-1-track->fNSkipped-track->fNUsed);
+ track->fChi2MIP[2] = forwardtrack->GetChi2()/(forwardtrack->GetNumberOfClusters()-track->fNSkipped-track->fNUsed);
+ track->fChi2MIP[3] = poolc2+pooltgl2;
+ //
+
+ if (track->GetNumberOfClusters()>maxn){
+ besttrack = new AliITStrackV2(*forwardtrack);
+ maxn = track->GetNumberOfClusters();
+ minchi2 = chi2;
+ delete backtrack;
+ delete forwardtrack;
+ continue;
+ }
+ //
+ if (chi2 < minchi2){
+ besttrack = new AliITStrackV2(*forwardtrack);
+ minchi2 = chi2;
+ }
+ delete backtrack;
+ delete forwardtrack;
+ }
+ //
+ //
+ if (!besttrack || besttrack->GetNumberOfClusters()<4) {
+ return 0;
+ }
+
+ //
+ besttrack->SetLabel(original->GetLabel());
+ CookLabel(besttrack,0.0);
//
// calculate "weight of the cluster"
//
+
+ {
+ //sign usage information for clusters
+ Int_t clusterindex[6][100];
+ Double_t clusterweight[6][100];
+ for (Int_t ilayer=0;ilayer<6;ilayer++)
+ for (Int_t icluster=0;icluster<100;icluster++){
+ clusterindex[ilayer][icluster] = -1;
+ clusterweight[ilayer][icluster] = 0;
+ }
+ //printf("%d\t%d\n",esdindex, entries);
+ //
+ Float_t sumchi2=0;
+ for (Int_t itrack=0;itrack<entries; itrack++){
+ AliITStrackV2 * track = (AliITStrackV2*)array->At(itrack);
+ if (!track) continue;
+ if (track->fChi2MIP[1]>1000) continue; //not accepted
+ sumchi2 +=1./(0.3+track->fChi2MIP[1]+track->fChi2MIP[2]);
+ }
+ for (Int_t itrack=0;itrack<entries;itrack++){
+ AliITStrackV2 * track = (AliITStrackV2*)array->At(itrack);
+ if (!track) continue;
+ if (track->fChi2MIP[1]>1000) continue; //not accepted
+ for (Int_t icluster=0;icluster<track->GetNumberOfClusters();icluster++){
+ Int_t tindex = track->GetClusterIndex(icluster);
+ Int_t ilayer = (tindex & 0xf0000000) >> 28;
+ if (tindex<0) continue;
+ Int_t cindex =0;
+ //
+ for (cindex=0;cindex<100;cindex++){
+ if (clusterindex[ilayer][cindex]<0) break;
+ if (clusterindex[ilayer][cindex]==tindex) break;
+ }
+ if (cindex>100) break;
+ if (clusterindex[ilayer][cindex]!=tindex) clusterindex[ilayer][cindex] = tindex;
+ clusterweight[ilayer][cindex]+= (1./(0.3+track->fChi2MIP[1]+track->fChi2MIP[2]))* (1./sumchi2);
+ Float_t *weight = GetWeight(tindex);
+
+ if (weight){
+ *weight+= (1./(0.3+track->fChi2MIP[1]+track->fChi2MIP[2]))* (1./sumchi2);
+ }
+ }
+ }
+
+ if (besttrack->GetChi2()/besttrack->GetNumberOfClusters()>3.5) return besttrack; //don't sign clusters
+ Int_t current=0;
+ Double_t deltad = besttrack->GetD(GetX(),GetY());
+ Double_t deltaz = besttrack->GetZat(GetX()) - GetZ();
+ Double_t deltaprim = TMath::Sqrt(deltad*deltad+deltaz*deltaz);
+
+ for (Int_t icluster=0;icluster<besttrack->GetNumberOfClusters();icluster++){
+ Int_t index = besttrack->GetClusterIndex(icluster);
+ Int_t ilayer = (index & 0xf0000000) >> 28;
+ AliITSclusterV2 *c = (AliITSclusterV2*)GetCluster(index);
+ if (!c) continue;
+ //
+ for (Int_t icluster=0;icluster<100;icluster++){
+ // sign non "doubt" clusters as used
+ if (clusterindex[ilayer][icluster]!=index) continue;
+ // Float_t * weight = GetWeight(index);
+ //if (weight) if (*weight>1){
+ // if (c->IsUsed()) continue;
+ // c->Use();
+ //}
+ if ( (ilayer*0.2+0.2)<deltaprim) continue; // secondaries
+ if (c->GetNy()>4) continue; // don sign cluster
+ if ( (ilayer>1&&clusterweight[ilayer][icluster]>0.7) || (ilayer<2&&clusterweight[ilayer][icluster]>0.8) ){
+ current++;
+ if (c->IsUsed()) continue;
+ c->Use();
+ }
+ }
+ }
+ }
+
+ //
+ return besttrack;
+}
+
+
+AliITStrackV2 * AliITStrackerV2::GetBestHypothesysMIP(Int_t esdindex, AliITStrackV2 * original)
+{
+ //-------------------------------------------------------------
+ // try to find best hypothesy
+ // currently - minimal chi2 of track+backpropagated track+matching to the tpc track
+ //-------------------------------------------------------------
+ if (fTrackHypothesys.GetEntriesFast()<=esdindex) return 0;
+ TObjArray * array = (TObjArray*) fTrackHypothesys.At(esdindex);
+ if (!array) return 0;
+ Int_t entries = array->GetEntriesFast();
+ if (!entries) return 0;
+ AliITStrackV2 * besttrack=0;
+ //
+ //sign usage information for clusters
Int_t clusterindex[6][100];
Double_t clusterweight[6][100];
for (Int_t ilayer=0;ilayer<6;ilayer++)
//printf("%d\t%d\n",esdindex, entries);
//
Float_t sumchi2=0;
- for (Int_t itrack=0;itrack<entries;itrack++){
+ for (Int_t itrack=0;itrack<entries; itrack++){
AliITStrackV2 * track = (AliITStrackV2*)array->At(itrack);
if (!track) continue;
- sumchi2 +=track->GetChi2();
+ if (track->fChi2MIP[1]>1000) continue; //not accepted - before
+ sumchi2 +=1./(0.3+track->fChi2MIP[1]+track->fChi2MIP[2]);
}
+ //
+ // get cluster weight
for (Int_t itrack=0;itrack<entries;itrack++){
AliITStrackV2 * track = (AliITStrackV2*)array->At(itrack);
if (!track) continue;
+ if (track->fChi2MIP[1]>1000) continue; // track not accepted in previous iterration
for (Int_t icluster=0;icluster<track->GetNumberOfClusters();icluster++){
Int_t tindex = track->GetClusterIndex(icluster);
Int_t ilayer = (tindex & 0xf0000000) >> 28;
}
if (cindex>100) break;
if (clusterindex[ilayer][cindex]!=tindex) clusterindex[ilayer][cindex] = tindex;
- clusterweight[ilayer][cindex]+= track->GetChi2()/sumchi2;
+ clusterweight[ilayer][cindex]+= (1./(0.3+track->fChi2MIP[1]+track->fChi2MIP[2]))* (1./sumchi2);
}
}
+ //
+ // get cluster relative sharing - factor
//
- for (Int_t i=0;i<entries;i++){
- AliITStrackV2 * track = (AliITStrackV2*)array->At(i);
- if (!track) continue;
- AliITStrackV2 * backtrack = new AliITStrackV2(*track);
- backtrack->ResetCovariance();
- backtrack->ResetClusters();
- Double_t x = original->GetX();
- RefitAt(x,backtrack,track);
- if (track->GetNumberOfClusters()<maxn) {
- delete backtrack;
- continue;
+ //
+ for (Int_t ilayer=0;ilayer<6;ilayer++)
+ for (Int_t cindex=0;cindex<100;cindex++){
+ if (clusterindex[ilayer][cindex]<0) continue;
+ Int_t tindex = clusterindex[ilayer][cindex];
+ Float_t *weight = GetWeight(tindex);
+ if (!weight){
+ printf("Problem 1\n"); // not existing track
+ continue;
+ }
+ if (*weight<(clusterweight[ilayer][cindex]-0.00001)){
+ printf("Problem 2\n"); // not normalized probability
+ continue;
+ }
+ AliITSclusterV2 *c = (AliITSclusterV2*)GetCluster(tindex);
+ if (c->GetNy()<5){
+ clusterweight[ilayer][cindex]/= *weight;
+ }
+ else{
+ Float_t weight2 = TMath::Max(*weight-0.5*clusterweight[ilayer][cindex],0.0000001);
+ clusterweight[ilayer][cindex]/= weight2;
+ if ( clusterweight[ilayer][cindex]>1) clusterweight[ilayer][cindex] =1.;
+ }
}
- Double_t deltac = backtrack->GetC()-original->GetC();
- Double_t deltatgl = backtrack->GetTgl()-original->GetTgl();
- Double_t poolc = (deltac*deltac)/(original->fC44);
- Double_t pooltgl = (deltatgl*deltatgl)/(original->fC33);
- Double_t chi2 = 0.5*(track->GetChi2()+backtrack->GetChi2())+poolc+pooltgl;
-
- if (track->GetNumberOfClusters()>maxn){
- besttrack = track;
- maxn = track->GetNumberOfClusters();
- minchi2 = chi2;
- delete backtrack;
- continue;
+ //
+ //take to the account sharing factor
+ //
+ Float_t chi2 =10000000;
+ Float_t sharefactor=0;
+ Float_t minchi2 = 100000000;
+ Float_t secchi2 = 100000000;
+ Float_t norm=0;
+ for (Int_t itrack=0;itrack<entries; itrack++){
+ AliITStrackV2 * track = (AliITStrackV2*)array->At(itrack);
+ if (!track) continue;
+ if (track->fChi2MIP[1]>1000) continue; //not accepted - before
+ chi2 = track->fChi2MIP[1];
+ Float_t newchi2=0;
+ sharefactor=0;
+ norm =0;
+ //
+ for (Int_t icluster=0;icluster<track->GetNumberOfClusters();icluster++){
+ Int_t tindex = track->GetClusterIndex(icluster);
+ Int_t ilayer = (tindex & 0xf0000000) >> 28;
+ if (tindex<0) continue;
+ Int_t cindex =0;
+ Float_t cchi2 = (track->fDy[ilayer]*track->fDy[ilayer])/(track->fSigmaY[ilayer]*track->fSigmaY[ilayer]) +
+ (track->fDz[ilayer]*track->fDz[ilayer])/(track->fSigmaZ[ilayer]*track->fSigmaZ[ilayer]) ;
+ //
+ for (cindex=0;cindex<100;cindex++){
+ if (clusterindex[ilayer][cindex]<0) break;
+ if (clusterindex[ilayer][cindex]==tindex) break;
+ }
+ if (cindex>100) continue;
+ if (clusterweight[ilayer][cindex]>0.00001){
+ sharefactor+= clusterweight[ilayer][cindex];
+ cchi2/=clusterweight[ilayer][cindex];
+ norm++;
+ }
+ newchi2+=cchi2;
}
- if (chi2 < minchi2){
+ newchi2/=(norm-track->fNSkipped-track->fNUsed);
+ track->fChi2MIP[4] = newchi2;
+ //if (norm>0) sharefactor/=norm;
+ //if (sharefactor<0.5) return 0;
+ // chi2*=1./(0.5+sharefactor);
+ if (newchi2<minchi2){
besttrack = track;
- minchi2 = chi2;
- }
- delete backtrack;
+ minchi2 = newchi2;
+ }
+ else{
+ if (newchi2<secchi2){
+ secchi2 = newchi2;
+ }
+ }
+ //
}
+
+ //
//
+ if (!besttrack || besttrack->GetNumberOfClusters()<4) {
+ return 0;
+ }
//
- AliITStrackV2 * track2 = new AliITStrackV2(*original);
+ if ((minchi2/secchi2)<0.7){
+ //
+ //increase the weight for clusters if the probability of other hypothesys is small
+ Double_t deltad = besttrack->GetD(GetX(),GetY());
+ Double_t deltaz = besttrack->GetZat(GetX()) - GetZ();
+ Double_t deltaprim = TMath::Sqrt(deltad*deltad+deltaz*deltaz);
+ //
+ for (Int_t icluster=0;icluster<besttrack->GetNumberOfClusters();icluster++){
+ Int_t index = besttrack->GetClusterIndex(icluster);
+ Int_t ilayer = (index & 0xf0000000) >> 28;
+ AliITSclusterV2 *c = (AliITSclusterV2*)GetCluster(index);
+ if (!c) continue;
+ if (c->GetNy()>3) continue;
+ if ( (ilayer*0.2+0.2)<deltaprim) continue; // secondaries
+ Float_t * weight = GetWeight(index);
+ *weight*=2.;
+ *weight+=1.;
+ }
+ }
+
+
+ besttrack->SetLabel(original->GetLabel());
+ CookLabel(besttrack,0.0);
- Int_t current=0;
- for (Int_t icluster=0;icluster<besttrack->GetNumberOfClusters();icluster++){
- Int_t index = besttrack->GetClusterIndex(icluster);
- Int_t ilayer = (index & 0xf0000000) >> 28;
- AliITSclusterV2 *c = (AliITSclusterV2*)GetCluster(index);
- if (!c) continue;
- //
- if (ilayer>1){
- track2->fIndex[current] = index;
- track2->fN++;
- }
- for (Int_t icluster=0;icluster<100;icluster++){
- // sign non "doubt" clusters as used
- if (clusterindex[ilayer][icluster]!=index) continue;
- if (clusterweight[ilayer][icluster]>0.9){
- if (ilayer<=1){
- track2->fIndex[current] = index;
- track2->fN++;
- }
- current++;
- if (c->IsUsed()) continue;
- c->Use();
- }
- }
- }
- // besttrack = new AliITStrackV2(*original);
- //RefitAt(3.7, besttrack, track2);
- delete track2;
//
return besttrack;
}
+