#include "AliESDtrackCuts.h"
+
+#include <AliESDtrack.h>
+#include <AliESD.h>
+#include <AliLog.h>
+#include <TTree.h>
+
//____________________________________________________________________
ClassImp(AliESDtrackCuts)
"trk-to-vtx",
"trk-to-vtx failed",
"kink daughters",
-
"p",
"p_{T}",
"p_{x}",
};
//____________________________________________________________________
-AliESDtrackCuts::AliESDtrackCuts()
+AliESDtrackCuts::AliESDtrackCuts() : TNamed(),
+ fCutMinNClusterTPC(0),
+ fCutMinNClusterITS(0),
+ fCutMaxChi2PerClusterTPC(0),
+ fCutMaxChi2PerClusterITS(0),
+ fCutMaxC11(0),
+ fCutMaxC22(0),
+ fCutMaxC33(0),
+ fCutMaxC44(0),
+ fCutMaxC55(0),
+ fCutAcceptKinkDaughters(0),
+ fCutRequireTPCRefit(0),
+ fCutRequireITSRefit(0),
+ fCutNsigmaToVertex(0),
+ fCutSigmaToVertexRequired(0),
+ fPMin(0),
+ fPMax(0),
+ fPtMin(0),
+ fPtMax(0),
+ fPxMin(0),
+ fPxMax(0),
+ fPyMin(0),
+ fPyMax(0),
+ fPzMin(0),
+ fPzMax(0),
+ fEtaMin(0),
+ fEtaMax(0),
+ fRapMin(0),
+ fRapMax(0),
+ fHistogramsOn(0),
+ ffDTheoretical(0),
+ fhCutStatistics(0),
+ fhCutCorrelation(0)
+{
+ //
+ // default constructor
+ //
+
+ Init();
+}
+
+//____________________________________________________________________
+AliESDtrackCuts::AliESDtrackCuts(Char_t* name, Char_t* title) : TNamed(name,title),
+ fCutMinNClusterTPC(0),
+ fCutMinNClusterITS(0),
+ fCutMaxChi2PerClusterTPC(0),
+ fCutMaxChi2PerClusterITS(0),
+ fCutMaxC11(0),
+ fCutMaxC22(0),
+ fCutMaxC33(0),
+ fCutMaxC44(0),
+ fCutMaxC55(0),
+ fCutAcceptKinkDaughters(0),
+ fCutRequireTPCRefit(0),
+ fCutRequireITSRefit(0),
+ fCutNsigmaToVertex(0),
+ fCutSigmaToVertexRequired(0),
+ fPMin(0),
+ fPMax(0),
+ fPtMin(0),
+ fPtMax(0),
+ fPxMin(0),
+ fPxMax(0),
+ fPyMin(0),
+ fPyMax(0),
+ fPzMin(0),
+ fPzMax(0),
+ fEtaMin(0),
+ fEtaMax(0),
+ fRapMin(0),
+ fRapMax(0),
+ fHistogramsOn(0),
+ fhCutStatistics(0),
+ fhCutCorrelation(0)
{
//
// constructor
}
//_____________________________________________________________________________
-AliESDtrackCuts::AliESDtrackCuts(const AliESDtrackCuts &c) : TObject(c)
+AliESDtrackCuts::AliESDtrackCuts(const AliESDtrackCuts &c) : TNamed(c),
+ fCutMinNClusterTPC(0),
+ fCutMinNClusterITS(0),
+ fCutMaxChi2PerClusterTPC(0),
+ fCutMaxChi2PerClusterITS(0),
+ fCutMaxC11(0),
+ fCutMaxC22(0),
+ fCutMaxC33(0),
+ fCutMaxC44(0),
+ fCutMaxC55(0),
+ fCutAcceptKinkDaughters(0),
+ fCutRequireTPCRefit(0),
+ fCutRequireITSRefit(0),
+ fCutNsigmaToVertex(0),
+ fCutSigmaToVertexRequired(0),
+ fPMin(0),
+ fPMax(0),
+ fPtMin(0),
+ fPtMax(0),
+ fPxMin(0),
+ fPxMax(0),
+ fPyMin(0),
+ fPyMax(0),
+ fPzMin(0),
+ fPzMax(0),
+ fEtaMin(0),
+ fEtaMax(0),
+ fRapMin(0),
+ fRapMax(0),
+ fHistogramsOn(0),
+ ffDTheoretical(0),
+ fhCutStatistics(0),
+ fhCutCorrelation(0)
{
//
// copy constructor
// destructor
//
- // ## TODO to be implemented
+ for (Int_t i=0; i<2; i++) {
+
+ if (fhNClustersITS[i])
+ delete fhNClustersITS[i];
+ if (fhNClustersTPC[i])
+ delete fhNClustersTPC[i];
+ if (fhChi2PerClusterITS[i])
+ delete fhChi2PerClusterITS[i];
+ if (fhChi2PerClusterTPC[i])
+ delete fhChi2PerClusterTPC[i];
+ if (fhC11[i])
+ delete fhC11[i];
+ if (fhC22[i])
+ delete fhC22[i];
+ if (fhC33[i])
+ delete fhC33[i];
+ if (fhC44[i])
+ delete fhC44[i];
+ if (fhC55[i])
+ delete fhC55[i];
+
+ if (fhDXY[i])
+ delete fhDXY[i];
+ if (fhDZ[i])
+ delete fhDZ[i];
+ if (fhDXYvsDZ[i])
+ delete fhDXYvsDZ[i];
+
+ if (fhDXYNormalized[i])
+ delete fhDXYNormalized[i];
+ if (fhDZNormalized[i])
+ delete fhDZNormalized[i];
+ if (fhDXYvsDZNormalized[i])
+ delete fhDXYvsDZNormalized[i];
+ if (fhNSigmaToVertex[i])
+ delete fhNSigmaToVertex[i];
+ }
+
+ if (ffDTheoretical)
+ delete ffDTheoretical;
+
+ if (fhCutStatistics)
+ delete fhCutStatistics;
+ if (fhCutCorrelation)
+ delete fhCutCorrelation;
}
void AliESDtrackCuts::Init()
fhDXYNormalized[i] = 0;
fhDZNormalized[i] = 0;
fhDXYvsDZNormalized[i] = 0;
+ fhNSigmaToVertex[i] = 0;
}
+ ffDTheoretical = 0;
fhCutStatistics = 0;
fhCutCorrelation = 0;
if (fhDXYNormalized[i]) target.fhDXYNormalized[i] = (TH1F*) fhDXYNormalized[i]->Clone();
if (fhDZNormalized[i]) target.fhDZNormalized[i] = (TH1F*) fhDZNormalized[i]->Clone();
if (fhDXYvsDZNormalized[i]) target.fhDXYvsDZNormalized[i] = (TH2F*) fhDXYvsDZNormalized[i]->Clone();
+ if (fhNSigmaToVertex[i]) target.fhNSigmaToVertex[i] = (TH1F*) fhNSigmaToVertex[i]->Clone();
}
+ if (ffDTheoretical) target.ffDTheoretical = (TF1*) ffDTheoretical->Clone();
if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone();
if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone();
- TObject::Copy(c);
+ TNamed::Copy(c);
+}
+
+//_____________________________________________________________________________
+Long64_t AliESDtrackCuts::Merge(TCollection* list) {
+ // Merge a list of AliESDtrackCuts objects with this (needed for PROOF)
+ // Returns the number of merged objects (including this)
+
+ if (!list)
+ return 0;
+
+ if (list->IsEmpty())
+ return 1;
+
+ if (!fHistogramsOn)
+ return 0;
+
+ TIterator* iter = list->MakeIterator();
+ TObject* obj;
+
+
+ // collection of measured and generated histograms
+ Int_t count = 0;
+ while ((obj = iter->Next())) {
+
+ AliESDtrackCuts* entry = dynamic_cast<AliESDtrackCuts*>(obj);
+ if (entry == 0)
+ continue;
+
+ if (!entry->fHistogramsOn)
+ continue;
+
+ for (Int_t i=0; i<2; i++) {
+
+ fhNClustersITS[i] ->Add(entry->fhNClustersITS[i] );
+ fhNClustersTPC[i] ->Add(entry->fhNClustersTPC[i] );
+
+ fhChi2PerClusterITS[i] ->Add(entry->fhChi2PerClusterITS[i]);
+ fhChi2PerClusterTPC[i] ->Add(entry->fhChi2PerClusterTPC[i]);
+
+ fhC11[i] ->Add(entry->fhC11[i] );
+ fhC22[i] ->Add(entry->fhC22[i] );
+ fhC33[i] ->Add(entry->fhC33[i] );
+ fhC44[i] ->Add(entry->fhC44[i] );
+ fhC55[i] ->Add(entry->fhC55[i] );
+
+ fhDXY[i] ->Add(entry->fhDXY[i] );
+ fhDZ[i] ->Add(entry->fhDZ[i] );
+ fhDXYvsDZ[i] ->Add(entry->fhDXYvsDZ[i] );
+
+ fhDXYNormalized[i] ->Add(entry->fhDXYNormalized[i] );
+ fhDZNormalized[i] ->Add(entry->fhDZNormalized[i] );
+ fhDXYvsDZNormalized[i] ->Add(entry->fhDXYvsDZNormalized[i]);
+ fhNSigmaToVertex[i] ->Add(entry->fhNSigmaToVertex[i]);
+
+ }
+
+ fhCutStatistics ->Add(entry->fhCutStatistics);
+ fhCutCorrelation ->Add(entry->fhCutCorrelation);
+
+ count++;
+ }
+
+ return count+1;
}
+
//____________________________________________________________________
-Bool_t
+Float_t AliESDtrackCuts::GetSigmaToVertex(AliESDtrack* esdTrack)
+{
+ // Calculates the number of sigma to the vertex.
+
+ Float_t b[2];
+ Float_t bRes[2];
+ Float_t bCov[3];
+ esdTrack->GetImpactParameters(b,bCov);
+ if (bCov[0]<=0 || bCov[2]<=0) {
+ AliDebug(1, "Estimated b resolution lower or equal zero!");
+ bCov[0]=0; bCov[2]=0;
+ }
+ bRes[0] = TMath::Sqrt(bCov[0]);
+ bRes[1] = TMath::Sqrt(bCov[2]);
+
+ // -----------------------------------
+ // How to get to a n-sigma cut?
+ //
+ // The accumulated statistics from 0 to d is
+ //
+ // -> Erf(d/Sqrt(2)) for a 1-dim gauss (d = n_sigma)
+ // -> 1 - Exp(-d**2) for a 2-dim gauss (d*d = dx*dx + dy*dy != n_sigma)
+ //
+ // It means that for a 2-dim gauss: n_sigma(d) = Sqrt(2)*ErfInv(1 - Exp((-x**2)/2)
+ // Can this be expressed in a different way?
+
+ if (bRes[0] == 0 || bRes[1] ==0)
+ return -1;
+
+ Float_t d = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2));
+
+ // stupid rounding problem screws up everything:
+ // if d is too big, TMath::Exp(...) gets 0, and TMath::ErfInverse(1) that should be infinite, gets 0 :(
+ if (TMath::Exp(-d * d / 2) < 1e-10)
+ return 1000;
+
+ d = TMath::ErfInverse(1 - TMath::Exp(-d * d / 2)) * TMath::Sqrt(2);
+ return d;
+}
+
+void AliESDtrackCuts::EnableNeededBranches(TTree* tree)
+{
+ // enables the branches needed by AcceptTrack, for a list see comment of AcceptTrack
+
+ tree->SetBranchStatus("fTracks.fFlags", 1);
+ tree->SetBranchStatus("fTracks.fITSncls", 1);
+ tree->SetBranchStatus("fTracks.fTPCncls", 1);
+ tree->SetBranchStatus("fTracks.fITSchi2", 1);
+ tree->SetBranchStatus("fTracks.fTPCchi2", 1);
+ tree->SetBranchStatus("fTracks.fC*", 1);
+ tree->SetBranchStatus("fTracks.fD", 1);
+ tree->SetBranchStatus("fTracks.fZ", 1);
+ tree->SetBranchStatus("fTracks.fCdd", 1);
+ tree->SetBranchStatus("fTracks.fCdz", 1);
+ tree->SetBranchStatus("fTracks.fCzz", 1);
+ tree->SetBranchStatus("fTracks.fP*", 1);
+ tree->SetBranchStatus("fTracks.fR*", 1);
+ tree->SetBranchStatus("fTracks.fKinkIndexes*", 1);
+}
+
+//____________________________________________________________________
+Bool_t
AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack) {
//
// figure out if the tracks survives all the track cuts defined
// retrieved from the track. then it is found out what cuts the
// track did not survive and finally the cuts are imposed.
+ // this function needs the following branches:
+ // fTracks.fFlags
+ // fTracks.fITSncls
+ // fTracks.fTPCncls
+ // fTracks.fITSchi2
+ // fTracks.fTPCchi2
+ // fTracks.fC //GetExternalCovariance
+ // fTracks.fD //GetImpactParameters
+ // fTracks.fZ //GetImpactParameters
+ // fTracks.fCdd //GetImpactParameters
+ // fTracks.fCdz //GetImpactParameters
+ // fTracks.fCzz //GetImpactParameters
+ // fTracks.fP //GetPxPyPz
+ // fTracks.fR //GetMass
+ // fTracks.fP //GetMass
+ // fTracks.fKinkIndexes
+
UInt_t status = esdTrack->GetStatus();
// dummy array
Int_t nClustersITS = esdTrack->GetITSclusters(fIdxInt);
Int_t nClustersTPC = esdTrack->GetTPCclusters(fIdxInt);
+
+
Float_t chi2PerClusterITS = -1;
Float_t chi2PerClusterTPC = -1;
if (nClustersITS!=0)
chi2PerClusterITS = esdTrack->GetITSchi2()/Float_t(nClustersITS);
if (nClustersTPC!=0)
- chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC);
+ chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC);
Double_t extCov[15];
esdTrack->GetExternalCovariance(extCov);
// getting the track to vertex parameters
- Float_t b[2];
- Float_t bRes[2];
- Float_t bCov[3];
- esdTrack->GetImpactParameters(b,bCov);
- if (bCov[0]<=0 || bCov[2]<=0) {
- AliDebug(1, "Estimated b resolution zero!");
- bCov[0]=0; bCov[1]=0;
- }
- bRes[0] = TMath::Sqrt(bCov[0]);
- bRes[1] = TMath::Sqrt(bCov[2]);
+ Float_t nSigmaToVertex = GetSigmaToVertex(esdTrack);
- // FIX !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
- //
- // this is not correct - it will not give n sigma!!!
- //
- Float_t nSigmaToVertex = -1;
- if (bRes[0]!=0 && bRes[1]!=0)
- nSigmaToVertex = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2));
-
- // getting the kinematic variables of the track
+ // getting the kinematic variables of the track
// (assuming the mass is known)
Double_t p[3];
esdTrack->GetPxPyPz(p);
Float_t pt = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2));
Float_t energy = TMath::Sqrt(TMath::Power(esdTrack->GetMass(),2) + TMath::Power(momentum,2));
+
//y-eta related calculations
Float_t eta = -100.;
Float_t y = -100.;
cuts[0]=kTRUE;
if (fCutRequireITSRefit && (status&AliESDtrack::kITSrefit)==0)
cuts[1]=kTRUE;
- if (nClustersTPC<fCutMinNClusterTPC)
+ if (nClustersTPC<fCutMinNClusterTPC)
cuts[2]=kTRUE;
if (nClustersITS<fCutMinNClusterITS)
cuts[3]=kTRUE;
cuts[9]=kTRUE;
if (extCov[14] > fCutMaxC55)
cuts[10]=kTRUE;
- if (nSigmaToVertex > fCutNsigmaToVertex)
+ if (nSigmaToVertex > fCutNsigmaToVertex)
cuts[11] = kTRUE;
// if n sigma could not be calculated
- if (nSigmaToVertex<0 && fCutSigmaToVertexRequired)
+ if (nSigmaToVertex<0 && fCutSigmaToVertexRequired)
cuts[12]=kTRUE;
- if (!fCutAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0)
+ if (!fCutAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0)
cuts[13]=kTRUE;
// track kinematics cut
if((momentum < fPMin) || (momentum > fPMax))
cuts[16] = kTRUE;
if((p[1] < fPyMin) || (p[1] > fPyMax))
cuts[17] = kTRUE;
- if((p[2] < fPzMin) || (p[2] > fPzMax))
+ if((p[2] < fPzMin) || (p[2] > fPzMax))
cuts[18] = kTRUE;
if((eta < fEtaMin) || (eta > fEtaMax))
cuts[19] = kTRUE;
}
- fhNClustersITS[0]->Fill(nClustersITS);
- fhNClustersTPC[0]->Fill(nClustersTPC);
+ fhNClustersITS[0]->Fill(nClustersITS);
+ fhNClustersTPC[0]->Fill(nClustersTPC);
fhChi2PerClusterITS[0]->Fill(chi2PerClusterITS);
- fhChi2PerClusterTPC[0]->Fill(chi2PerClusterTPC);
-
- fhC11[0]->Fill(extCov[0]);
- fhC22[0]->Fill(extCov[2]);
- fhC33[0]->Fill(extCov[5]);
- fhC44[0]->Fill(extCov[9]);
- fhC55[0]->Fill(extCov[14]);
-
- fhDZ[0]->Fill(b[1]);
- fhDXY[0]->Fill(b[0]);
+ fhChi2PerClusterTPC[0]->Fill(chi2PerClusterTPC);
+
+ fhC11[0]->Fill(extCov[0]);
+ fhC22[0]->Fill(extCov[2]);
+ fhC33[0]->Fill(extCov[5]);
+ fhC44[0]->Fill(extCov[9]);
+ fhC55[0]->Fill(extCov[14]);
+
+ Float_t b[2];
+ Float_t bRes[2];
+ Float_t bCov[3];
+ esdTrack->GetImpactParameters(b,bCov);
+ if (bCov[0]<=0 || bCov[2]<=0) {
+ AliDebug(1, "Estimated b resolution lower or equal zero!");
+ bCov[0]=0; bCov[2]=0;
+ }
+ bRes[0] = TMath::Sqrt(bCov[0]);
+ bRes[1] = TMath::Sqrt(bCov[2]);
+
+ fhDZ[0]->Fill(b[1]);
+ fhDXY[0]->Fill(b[0]);
fhDXYvsDZ[0]->Fill(b[1],b[0]);
if (bRes[0]!=0 && bRes[1]!=0) {
- fhDZNormalized[0]->Fill(b[1]/bRes[1]);
- fhDXYNormalized[0]->Fill(b[0]/bRes[0]);
+ fhDZNormalized[0]->Fill(b[1]/bRes[1]);
+ fhDXYNormalized[0]->Fill(b[0]/bRes[0]);
fhDXYvsDZNormalized[0]->Fill(b[1]/bRes[1], b[0]/bRes[0]);
+ fhNSigmaToVertex[0]->Fill(nSigmaToVertex);
}
}
- //########################################################################
+ //########################################################################
// cut the track!
if (cut) return kFALSE;
- //########################################################################
+ //########################################################################
// filling histograms after cut
if (fHistogramsOn) {
- fhNClustersITS[1]->Fill(nClustersITS);
- fhNClustersTPC[1]->Fill(nClustersTPC);
+ fhNClustersITS[1]->Fill(nClustersITS);
+ fhNClustersTPC[1]->Fill(nClustersTPC);
fhChi2PerClusterITS[1]->Fill(chi2PerClusterITS);
- fhChi2PerClusterTPC[1]->Fill(chi2PerClusterTPC);
-
- fhC11[1]->Fill(extCov[0]);
- fhC22[1]->Fill(extCov[2]);
- fhC33[1]->Fill(extCov[5]);
- fhC44[1]->Fill(extCov[9]);
- fhC55[1]->Fill(extCov[14]);
-
- fhDZ[1]->Fill(b[1]);
- fhDXY[1]->Fill(b[0]);
+ fhChi2PerClusterTPC[1]->Fill(chi2PerClusterTPC);
+
+ fhC11[1]->Fill(extCov[0]);
+ fhC22[1]->Fill(extCov[2]);
+ fhC33[1]->Fill(extCov[5]);
+ fhC44[1]->Fill(extCov[9]);
+ fhC55[1]->Fill(extCov[14]);
+
+ Float_t b[2];
+ Float_t bRes[2];
+ Float_t bCov[3];
+ esdTrack->GetImpactParameters(b,bCov);
+ if (bCov[0]<=0 || bCov[2]<=0) {
+ AliDebug(1, "Estimated b resolution lower or equal zero!");
+ bCov[0]=0; bCov[2]=0;
+ }
+ bRes[0] = TMath::Sqrt(bCov[0]);
+ bRes[1] = TMath::Sqrt(bCov[2]);
+
+ fhDZ[1]->Fill(b[1]);
+ fhDXY[1]->Fill(b[0]);
fhDXYvsDZ[1]->Fill(b[1],b[0]);
- fhDZNormalized[1]->Fill(b[1]/bRes[1]);
- fhDXYNormalized[1]->Fill(b[0]/bRes[0]);
- fhDXYvsDZNormalized[1]->Fill(b[1]/bRes[1], b[0]/bRes[0]);
+ if (bRes[0]!=0 && bRes[1]!=0)
+ {
+ fhDZNormalized[1]->Fill(b[1]/bRes[1]);
+ fhDXYNormalized[1]->Fill(b[0]/bRes[0]);
+ fhDXYvsDZNormalized[1]->Fill(b[1]/bRes[1], b[0]/bRes[0]);
+ fhNSigmaToVertex[1]->Fill(nSigmaToVertex);
+ }
}
-
+
return kTRUE;
}
//
TObjArray* acceptedTracks = new TObjArray();
-
+
// loop over esd tracks
for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) {
AliESDtrack* track = esd->GetTrack(iTrack);
-
+
if (AcceptTrack(track))
acceptedTracks->Add(track);
}
return acceptedTracks;
}
+//____________________________________________________________________
+Int_t
+AliESDtrackCuts::CountAcceptedTracks(AliESD* esd)
+{
+ //
+ // returns an the number of tracks that pass the cuts
+ //
+
+ Int_t count = 0;
+
+ // loop over esd tracks
+ for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) {
+ AliESDtrack* track = esd->GetTrack(iTrack);
+
+ if (AcceptTrack(track))
+ count++;
+ }
+
+ return count;
+}
+
//____________________________________________________________________
void AliESDtrackCuts::DefineHistograms(Int_t color) {
//
fhChi2PerClusterITS[i] = new TH1F(Form("chi2PerClusterITS%s",str),"",500,0,10);
fhChi2PerClusterTPC[i] = new TH1F(Form("chi2PerClusterTPC%s",str),"",500,0,10);
- fhC11[i] = new TH1F(Form("covMatrixDiagonal11%s",str),"",1000,0,5);
- fhC22[i] = new TH1F(Form("covMatrixDiagonal22%s",str),"",1000,0,5);
- fhC33[i] = new TH1F(Form("covMatrixDiagonal33%s",str),"",1000,0,0.5);
+ fhC11[i] = new TH1F(Form("covMatrixDiagonal11%s",str),"",2000,0,20);
+ fhC22[i] = new TH1F(Form("covMatrixDiagonal22%s",str),"",2000,0,20);
+ fhC33[i] = new TH1F(Form("covMatrixDiagonal33%s",str),"",1000,0,1);
fhC44[i] = new TH1F(Form("covMatrixDiagonal44%s",str),"",1000,0,5);
fhC55[i] = new TH1F(Form("covMatrixDiagonal55%s",str),"",1000,0,5);
fhDZNormalized[i] = new TH1F(Form("dZNormalized%s",str),"",500,-10,10);
fhDXYvsDZNormalized[i] = new TH2F(Form("dXYvsDZNormalized%s",str),"",200,-10,10,200,-10,10);
+ fhNSigmaToVertex[i] = new TH1F(Form("nSigmaToVertex%s",str),"",500,0,50);
fhNClustersITS[i]->SetXTitle("n ITS clusters");
fhNClustersTPC[i]->SetXTitle("n TPC clusters");
fhDZNormalized[i]->SetXTitle("normalized long impact par");
fhDXYvsDZNormalized[i]->SetXTitle("normalized long impact par");
fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par");
+ fhNSigmaToVertex[i]->SetXTitle("n #sigma to vertex");
fhNClustersITS[i]->SetLineColor(color); fhNClustersITS[i]->SetLineWidth(2);
fhNClustersTPC[i]->SetLineColor(color); fhNClustersTPC[i]->SetLineWidth(2);
fhDZ[i]->SetLineColor(color); fhDZ[i]->SetLineWidth(2);
fhDXYNormalized[i]->SetLineColor(color); fhDXYNormalized[i]->SetLineWidth(2);
- fhDZNormalized[i]->SetLineColor(color); fhDZNormalized[i]->SetLineWidth(2);
+ fhDZNormalized[i]->SetLineColor(color); fhDZNormalized[i]->SetLineWidth(2);
+ fhNSigmaToVertex[i]->SetLineColor(color); fhNSigmaToVertex[i]->SetLineWidth(2);
}
+
+ // The number of sigmas to the vertex is per definition gaussian
+ ffDTheoretical = new TF1("nSigmaToVertexTheoretical","([0]/2.506628274)*exp(-(x**2)/2)",0,50);
+ ffDTheoretical->SetParameter(0,1);
}
+
+
//____________________________________________________________________
void
AliESDtrackCuts::Print(const Option_t*) const {
gDirectory->mkdir("before_cuts");
gDirectory->mkdir("after_cuts");
+ // a factor of 2 is needed since n sigma is positive
+ ffDTheoretical->SetParameter(0,2*fhNSigmaToVertex[0]->Integral("width"));
+ ffDTheoretical->Write("nSigmaToVertexTheory");
+
fhCutStatistics->Write();
fhCutCorrelation->Write();
fhDXYNormalized[i] ->Write();
fhDZNormalized[i] ->Write();
fhDXYvsDZNormalized[i] ->Write();
+ fhNSigmaToVertex[i] ->Write();
gDirectory->cd("../");
}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff