#include "AliESDtrackCuts.h"
-#include <Riostream.h>
+
+#include <AliESDtrack.h>
+#include <AliESD.h>
+#include <AliLog.h>
//____________________________________________________________________
-ClassImp(AliESDtrackCuts);
+ClassImp(AliESDtrackCuts)
+
+// Cut names
+const Char_t* AliESDtrackCuts::fgkCutNames[kNCuts] = {
+ "require TPC refit",
+ "require ITS refit",
+ "n clusters TPC",
+ "n clusters ITS",
+ "#Chi^{2}/clusters TPC",
+ "#Chi^{2}/clusters ITS",
+ "cov 11",
+ "cov 22",
+ "cov 33",
+ "cov 44",
+ "cov 55",
+ "trk-to-vtx",
+ "trk-to-vtx failed",
+ "kink daughters",
+
+ "p",
+ "p_{T}",
+ "p_{x}",
+ "p_{y}",
+ "p_{z}",
+ "y",
+ "eta"
+};
//____________________________________________________________________
-AliESDtrackCuts::AliESDtrackCuts() {
+AliESDtrackCuts::AliESDtrackCuts()
+{
+ //
+ // constructor
+ //
+
+ Init();
//##############################################################################
// setting default cuts
-
SetMinNClustersTPC();
- SetMinNClustersITS();
+ SetMinNClustersITS();
SetMaxChi2PerClusterTPC();
SetMaxChi2PerClusterITS();
SetMaxCovDiagonalElements();
SetRapRange();
SetHistogramsOn();
+}
- // set the cut names
- fCutNames[0] = "require TPC refit";
- fCutNames[1] = "require ITS refit";
- fCutNames[2] = "n clusters TPC";
- fCutNames[3] = "n clusters ITS";
- fCutNames[4] = "#Chi^{2}/clusters TPC";
- fCutNames[5] = "#Chi^{2}/clusters ITS";
- fCutNames[6] = "cov 11";
- fCutNames[7] = "cov 22";
- fCutNames[8] = "cov 33";
- fCutNames[9] = "cov 44";
- fCutNames[10] = "cov 55";
- fCutNames[11] = "trk-to-vtx";
- fCutNames[12] = "trk-to-vtx failed";
- fCutNames[13] = "kink daughters";
-
- fCutNames[14] = "p";
- fCutNames[15] = "p_{T}";
- fCutNames[16] = "p_{x}";
- fCutNames[17] = "p_{y}";
- fCutNames[18] = "p_{z}";
- fCutNames[19] = "y";
- fCutNames[20] = "eta";
+//_____________________________________________________________________________
+AliESDtrackCuts::AliESDtrackCuts(const AliESDtrackCuts &c) : TObject(c)
+{
+ //
+ // copy constructor
+ //
+ ((AliESDtrackCuts &) c).Copy(*this);
}
-//____________________________________________________________________
-Bool_t
-AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack, AliESDVertex* esdVtx, Double_t field) {
+AliESDtrackCuts::~AliESDtrackCuts()
+{
//
- // re-calculate the track-to-vertex
- esdTrack->RelateToVertex(esdVtx, field, 1e99);
-
- return AcceptTrack(esdTrack);
+ // destructor
+ //
+
+ // ## TODO to be implemented
}
-//____________________________________________________________________
-Bool_t
-AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack, Double_t* vtx, Double_t* vtx_res, Double_t field) {
-
- AliESDVertex* esdVtx = new AliESDVertex(vtx, vtx_res,"new vertex");
- esdTrack->RelateToVertex(esdVtx, field, 1e99);
- return AcceptTrack(esdTrack);
-}
+void AliESDtrackCuts::Init()
+{
+ //
+ // sets everything to zero
+ //
+
+ 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 = kFALSE;
+
+ for (Int_t i=0; i<2; ++i)
+ {
+ fhNClustersITS[i] = 0;
+ fhNClustersTPC[i] = 0;
+
+ fhChi2PerClusterITS[i] = 0;
+ fhChi2PerClusterTPC[i] = 0;
+
+ fhC11[i] = 0;
+ fhC22[i] = 0;
+ fhC33[i] = 0;
+ fhC44[i] = 0;
+ fhC55[i] = 0;
+
+ fhDXY[i] = 0;
+ fhDZ[i] = 0;
+ fhDXYvsDZ[i] = 0;
+
+ fhDXYNormalized[i] = 0;
+ fhDZNormalized[i] = 0;
+ fhDXYvsDZNormalized[i] = 0;
+ }
+
+ fhCutStatistics = 0;
+ fhCutCorrelation = 0;
+}
+
+//_____________________________________________________________________________
+AliESDtrackCuts &AliESDtrackCuts::operator=(const AliESDtrackCuts &c)
+{
+ //
+ // Assignment operator
+ //
+
+ if (this != &c) ((AliESDtrackCuts &) c).Copy(*this);
+ return *this;
+}
+
+//_____________________________________________________________________________
+void AliESDtrackCuts::Copy(TObject &c) const
+{
+ //
+ // Copy function
+ //
+
+ AliESDtrackCuts& target = (AliESDtrackCuts &) c;
+
+ target.Init();
+
+ target.fCutMinNClusterTPC = fCutMinNClusterTPC;
+ target.fCutMinNClusterITS = fCutMinNClusterITS;
+
+ target.fCutMaxChi2PerClusterTPC = fCutMaxChi2PerClusterTPC;
+ target.fCutMaxChi2PerClusterITS = fCutMaxChi2PerClusterITS;
+
+ target.fCutMaxC11 = fCutMaxC11;
+ target.fCutMaxC22 = fCutMaxC22;
+ target.fCutMaxC33 = fCutMaxC33;
+ target.fCutMaxC44 = fCutMaxC44;
+ target.fCutMaxC55 = fCutMaxC55;
+
+ target.fCutAcceptKinkDaughters = fCutAcceptKinkDaughters;
+ target.fCutRequireTPCRefit = fCutRequireTPCRefit;
+ target.fCutRequireITSRefit = fCutRequireITSRefit;
+
+ target.fCutNsigmaToVertex = fCutNsigmaToVertex;
+ target.fCutSigmaToVertexRequired = fCutSigmaToVertexRequired;
+
+ target.fPMin = fPMin;
+ target.fPMax = fPMax;
+ target.fPtMin = fPtMin;
+ target.fPtMax = fPtMax;
+ target.fPxMin = fPxMin;
+ target.fPxMax = fPxMax;
+ target.fPyMin = fPyMin;
+ target.fPyMax = fPyMax;
+ target.fPzMin = fPzMin;
+ target.fPzMax = fPzMax;
+ target.fEtaMin = fEtaMin;
+ target.fEtaMax = fEtaMax;
+ target.fRapMin = fRapMin;
+ target.fRapMax = fRapMax;
+
+ target.fHistogramsOn = fHistogramsOn;
+
+ for (Int_t i=0; i<2; ++i)
+ {
+ if (fhNClustersITS[i]) target.fhNClustersITS[i] = (TH1F*) fhNClustersITS[i]->Clone();
+ if (fhNClustersTPC[i]) target.fhNClustersTPC[i] = (TH1F*) fhNClustersTPC[i]->Clone();
+
+ if (fhChi2PerClusterITS[i]) target.fhChi2PerClusterITS[i] = (TH1F*) fhChi2PerClusterITS[i]->Clone();
+ if (fhChi2PerClusterTPC[i]) target.fhChi2PerClusterTPC[i] = (TH1F*) fhChi2PerClusterTPC[i]->Clone();
+
+ if (fhC11[i]) target.fhC11[i] = (TH1F*) fhC11[i]->Clone();
+ if (fhC22[i]) target.fhC22[i] = (TH1F*) fhC22[i]->Clone();
+ if (fhC33[i]) target.fhC33[i] = (TH1F*) fhC33[i]->Clone();
+ if (fhC44[i]) target.fhC44[i] = (TH1F*) fhC44[i]->Clone();
+ if (fhC55[i]) target.fhC55[i] = (TH1F*) fhC55[i]->Clone();
+
+ if (fhDXY[i]) target.fhDXY[i] = (TH1F*) fhDXY[i]->Clone();
+ if (fhDZ[i]) target.fhDZ[i] = (TH1F*) fhDZ[i]->Clone();
+ if (fhDXYvsDZ[i]) target.fhDXYvsDZ[i] = (TH2F*) fhDXYvsDZ[i]->Clone();
+
+ 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 (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone();
+ if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone();
+
+ TObject::Copy(c);
+}
//____________________________________________________________________
Bool_t
//
// figure out if the tracks survives all the track cuts defined
//
+ // the different quality parameter and kinematic values are first
+ // retrieved from the track. then it is found out what cuts the
+ // track did not survive and finally the cuts are imposed.
+
+
UInt_t status = esdTrack->GetStatus();
-
+
+ // dummy array
+ Int_t fIdxInt[200];
+
// getting quality parameters from the ESD track
Int_t nClustersITS = esdTrack->GetITSclusters(fIdxInt);
Int_t nClustersTPC = esdTrack->GetTPCclusters(fIdxInt);
+
+
Float_t chi2PerClusterITS = -1;
Float_t chi2PerClusterTPC = -1;
if (nClustersITS!=0)
chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC);
Double_t extCov[15];
- esdTrack->GetExternalCovariance(extCov);
+ esdTrack->GetExternalCovariance(extCov);
// getting the track to vertex parameters
Float_t b[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;
- }
+ 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]);
- // FIX !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
+ // -----------------------------------
+ // How to get to a n-sigma cut?
//
- // this is not correct - it will not give n sigma!!!
- //
+ // 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?
+ //
+ //
+ // FIX: I don't think this is correct!!! Keeping d as n_sigma for now...
+
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));
+ if (bRes[0]!=0 && bRes[1]!=0) {
+ Float_t d = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2));
+ nSigmaToVertex = d;//TMath::Sqrt(2)*(TMath::ErfInverse(1 - TMath::Exp(0.5*(-d*d))));
+ // JF solution: nSigmaToVertex = TMath::ErfInverse(TMath::Sqrt(2.0/TMath::Pi()) * TMath::Erf(d / TMath::Sqrt(2))) * TMath::Sqrt(2);
+ }
// getting the kinematic variables of the track
// (assuming the mass is known)
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.;
//########################################################################
// cut the track?
- Bool_t cuts[fNCuts];
- for (Int_t i=0; i<fNCuts; i++) cuts[i]=kFALSE;
+ Bool_t cuts[kNCuts];
+ for (Int_t i=0; i<kNCuts; i++) cuts[i]=kFALSE;
// track quality cuts
- if (fCut_RequireTPCRefit && (status&AliESDtrack::kTPCrefit)==0)
+ if (fCutRequireTPCRefit && (status&AliESDtrack::kTPCrefit)==0)
cuts[0]=kTRUE;
- if (fCut_RequireITSRefit && (status&AliESDtrack::kITSrefit)==0)
+ if (fCutRequireITSRefit && (status&AliESDtrack::kITSrefit)==0)
cuts[1]=kTRUE;
- if (nClustersTPC<fCut_MinNClusterTPC)
+ if (nClustersTPC<fCutMinNClusterTPC)
cuts[2]=kTRUE;
- if (nClustersITS<fCut_MinNClusterITS)
+ if (nClustersITS<fCutMinNClusterITS)
cuts[3]=kTRUE;
- if (chi2PerClusterTPC>fCut_MaxChi2PerClusterTPC)
+ if (chi2PerClusterTPC>fCutMaxChi2PerClusterTPC)
cuts[4]=kTRUE;
- if (chi2PerClusterITS>fCut_MaxChi2PerClusterITS)
+ if (chi2PerClusterITS>fCutMaxChi2PerClusterITS)
cuts[5]=kTRUE;
- if (extCov[0] > fCut_MaxC11)
+ if (extCov[0] > fCutMaxC11)
cuts[6]=kTRUE;
- if (extCov[2] > fCut_MaxC22)
+ if (extCov[2] > fCutMaxC22)
cuts[7]=kTRUE;
- if (extCov[5] > fCut_MaxC33)
+ if (extCov[5] > fCutMaxC33)
cuts[8]=kTRUE;
- if (extCov[9] > fCut_MaxC44)
+ if (extCov[9] > fCutMaxC44)
cuts[9]=kTRUE;
- if (extCov[14] > fCut_MaxC55)
+ if (extCov[14] > fCutMaxC55)
cuts[10]=kTRUE;
- if (nSigmaToVertex > fCut_NsigmaToVertex)
+ if (nSigmaToVertex > fCutNsigmaToVertex)
cuts[11] = kTRUE;
// if n sigma could not be calculated
- if (nSigmaToVertex<0 && fCut_SigmaToVertexRequired)
+ if (nSigmaToVertex<0 && fCutSigmaToVertexRequired)
cuts[12]=kTRUE;
- if (!fCut_AcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0)
+ if (!fCutAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0)
cuts[13]=kTRUE;
// track kinematics cut
if((momentum < fPMin) || (momentum > fPMax))
cuts[20] = kTRUE;
Bool_t cut=kFALSE;
- for (Int_t i=0; i<fNCuts; i++)
+ for (Int_t i=0; i<kNCuts; i++)
if (cuts[i]) cut = kTRUE;
//########################################################################
// filling histograms
if (fHistogramsOn) {
- hCutStatistics->Fill(hCutStatistics->GetBinCenter(hCutStatistics->GetXaxis()->FindBin("n tracks")));
+ fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n tracks")));
if (cut)
- hCutStatistics->Fill(hCutStatistics->GetBinCenter(hCutStatistics->GetXaxis()->FindBin("n cut tracks")));
+ fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n cut tracks")));
- for (Int_t i=0; i<fNCuts; i++) {
+ for (Int_t i=0; i<kNCuts; i++) {
if (cuts[i])
- hCutStatistics->Fill(hCutStatistics->GetBinCenter(hCutStatistics->GetXaxis()->FindBin(fCutNames[i])));
+ fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin(fgkCutNames[i])));
- for (Int_t j=i; j<fNCuts; j++) {
+ for (Int_t j=i; j<kNCuts; j++) {
if (cuts[i] && cuts[j]) {
- Float_t x = hCutCorrelation->GetXaxis()->GetBinCenter(hCutCorrelation->GetXaxis()->FindBin(fCutNames[i]));
- Float_t y = hCutCorrelation->GetYaxis()->GetBinCenter(hCutCorrelation->GetYaxis()->FindBin(fCutNames[j]));
- hCutCorrelation->Fill(x,y);
+ Float_t x = fhCutCorrelation->GetXaxis()->GetBinCenter(fhCutCorrelation->GetXaxis()->FindBin(fgkCutNames[i]));
+ Float_t y = fhCutCorrelation->GetYaxis()->GetBinCenter(fhCutCorrelation->GetYaxis()->FindBin(fgkCutNames[j]));
+ fhCutCorrelation->Fill(x,y);
}
}
}
- hNClustersITS[0]->Fill(nClustersITS);
- hNClustersTPC[0]->Fill(nClustersTPC);
- hChi2PerClusterITS[0]->Fill(chi2PerClusterITS);
- hChi2PerClusterTPC[0]->Fill(chi2PerClusterTPC);
+ fhNClustersITS[0]->Fill(nClustersITS);
+ fhNClustersTPC[0]->Fill(nClustersTPC);
+ fhChi2PerClusterITS[0]->Fill(chi2PerClusterITS);
+ fhChi2PerClusterTPC[0]->Fill(chi2PerClusterTPC);
- hC11[0]->Fill(extCov[0]);
- hC22[0]->Fill(extCov[2]);
- hC33[0]->Fill(extCov[5]);
- hC44[0]->Fill(extCov[9]);
- hC55[0]->Fill(extCov[14]);
+ 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]);
- hDZ[0]->Fill(b[1]);
- hDXY[0]->Fill(b[0]);
- hDXYvsDZ[0]->Fill(b[1],b[0]);
+ fhDZ[0]->Fill(b[1]);
+ fhDXY[0]->Fill(b[0]);
+ fhDXYvsDZ[0]->Fill(b[1],b[0]);
if (bRes[0]!=0 && bRes[1]!=0) {
- hDZNormalized[0]->Fill(b[1]/bRes[1]);
- hDXYNormalized[0]->Fill(b[0]/bRes[0]);
- hDXYvsDZNormalized[0]->Fill(b[1]/bRes[1], 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]);
}
}
//########################################################################
// filling histograms after cut
if (fHistogramsOn) {
- hNClustersITS[1]->Fill(nClustersITS);
- hNClustersTPC[1]->Fill(nClustersTPC);
- hChi2PerClusterITS[1]->Fill(chi2PerClusterITS);
- hChi2PerClusterTPC[1]->Fill(chi2PerClusterTPC);
+ fhNClustersITS[1]->Fill(nClustersITS);
+ fhNClustersTPC[1]->Fill(nClustersTPC);
+ fhChi2PerClusterITS[1]->Fill(chi2PerClusterITS);
+ fhChi2PerClusterTPC[1]->Fill(chi2PerClusterTPC);
- hC11[1]->Fill(extCov[0]);
- hC22[1]->Fill(extCov[2]);
- hC33[1]->Fill(extCov[5]);
- hC44[1]->Fill(extCov[9]);
- hC55[1]->Fill(extCov[14]);
+ 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]);
- hDZ[1]->Fill(b[1]);
- hDXY[1]->Fill(b[0]);
- hDXYvsDZ[1]->Fill(b[1],b[0]);
+ fhDZ[1]->Fill(b[1]);
+ fhDXY[1]->Fill(b[0]);
+ fhDXYvsDZ[1]->Fill(b[1],b[0]);
- hDZNormalized[1]->Fill(b[1]/bRes[1]);
- hDXYNormalized[1]->Fill(b[0]/bRes[0]);
- hDXYvsDZNormalized[1]->Fill(b[1]/bRes[1], b[0]/bRes[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]);
}
return kTRUE;
//____________________________________________________________________
TObjArray*
-AliESDtrackCuts::GetAcceptedTracks(AliESD* esd) {
-
+AliESDtrackCuts::GetAcceptedTracks(AliESD* esd)
+{
+ //
// returns an array of all tracks that pass the cuts
- fAcceptedTracks->Clear();
-
+ //
+
+ 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)) fAcceptedTracks->Add(track);
+
+ if (AcceptTrack(track))
+ acceptedTracks->Add(track);
}
- return fAcceptedTracks;
+ return acceptedTracks;
}
//____________________________________________________________________
-void
-AliESDtrackCuts::DefineHistograms(Int_t color) {
+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);
- fHistogramsOn=kTRUE;
+ if (AcceptTrack(track))
+ count++;
+ }
- //###################################################################################
- // defining histograms
+ return count;
+}
- hCutStatistics = new TH1F("cut_statistics","cut statistics",fNCuts+4,-0.5,fNCuts+3.5);
+//____________________________________________________________________
+ void AliESDtrackCuts::DefineHistograms(Int_t color) {
+ //
+ // diagnostics histograms are defined
+ //
- hCutStatistics->GetXaxis()->SetBinLabel(1,"n tracks");
- hCutStatistics->GetXaxis()->SetBinLabel(2,"n cut tracks");
+ fHistogramsOn=kTRUE;
- hCutCorrelation = new TH2F("cut_correlation","cut correlation",fNCuts,-0.5,fNCuts-0.5,fNCuts,-0.5,fNCuts-0.5);;
-
- for (Int_t i=0; i<fNCuts; i++) {
- hCutStatistics->GetXaxis()->SetBinLabel(i+4,fCutNames[i]);
- hCutCorrelation->GetXaxis()->SetBinLabel(i+1,fCutNames[i]);
- hCutCorrelation->GetYaxis()->SetBinLabel(i+1,fCutNames[i]);
- }
+ //###################################################################################
+ // defining histograms
- hCutStatistics ->SetLineColor(color);
- hCutCorrelation ->SetLineColor(color);
- hCutStatistics ->SetLineWidth(2);
- hCutCorrelation ->SetLineWidth(2);
-
-
- hNClustersITS = new TH1F*[2];
- hNClustersTPC = new TH1F*[2];
- hChi2PerClusterITS = new TH1F*[2];
- hChi2PerClusterTPC = new TH1F*[2];
-
- hC11 = new TH1F*[2];
- hC22 = new TH1F*[2];
- hC33 = new TH1F*[2];
- hC44 = new TH1F*[2];
- hC55 = new TH1F*[2];
-
- hDXY = new TH1F*[2];
- hDZ = new TH1F*[2];
- hDXYvsDZ = new TH2F*[2];
+ fhCutStatistics = new TH1F("cut_statistics","cut statistics",kNCuts+4,-0.5,kNCuts+3.5);
+
+ fhCutStatistics->GetXaxis()->SetBinLabel(1,"n tracks");
+ fhCutStatistics->GetXaxis()->SetBinLabel(2,"n cut tracks");
- hDXYNormalized = new TH1F*[2];
- hDZNormalized = new TH1F*[2];
- hDXYvsDZNormalized = new TH2F*[2];
+ fhCutCorrelation = new TH2F("cut_correlation","cut correlation",kNCuts,-0.5,kNCuts-0.5,kNCuts,-0.5,kNCuts-0.5);;
+
+ for (Int_t i=0; i<kNCuts; i++) {
+ fhCutStatistics->GetXaxis()->SetBinLabel(i+4,fgkCutNames[i]);
+ fhCutCorrelation->GetXaxis()->SetBinLabel(i+1,fgkCutNames[i]);
+ fhCutCorrelation->GetYaxis()->SetBinLabel(i+1,fgkCutNames[i]);
+ }
+ fhCutStatistics ->SetLineColor(color);
+ fhCutCorrelation ->SetLineColor(color);
+ fhCutStatistics ->SetLineWidth(2);
+ fhCutCorrelation ->SetLineWidth(2);
Char_t str[256];
for (Int_t i=0; i<2; i++) {
if (i==0) sprintf(str," ");
else sprintf(str,"_cut");
- hNClustersITS[i] = new TH1F(Form("nClustersITS%s",str),"",8,-0.5,7.5);
- hNClustersTPC[i] = new TH1F(Form("nClustersTPC%s",str),"",165,-0.5,164.5);
- hChi2PerClusterITS[i] = new TH1F(Form("chi2PerClusterITS%s",str),"",500,0,10);
- hChi2PerClusterTPC[i] = new TH1F(Form("chi2PerClusterTPC%s",str),"",500,0,10);
-
- hC11[i] = new TH1F(Form("covMatrixDiagonal11%s",str),"",1000,0,5);
- hC22[i] = new TH1F(Form("covMatrixDiagonal22%s",str),"",1000,0,5);
- hC33[i] = new TH1F(Form("covMatrixDiagonal33%s",str),"",1000,0,0.5);
- hC44[i] = new TH1F(Form("covMatrixDiagonal44%s",str),"",1000,0,5);
- hC55[i] = new TH1F(Form("covMatrixDiagonal55%s",str),"",1000,0,5);
-
- hDXY[i] = new TH1F(Form("dXY%s",str),"",500,-10,10);
- hDZ[i] = new TH1F(Form("dZ%s",str),"",500,-10,10);
- hDXYvsDZ[i] = new TH2F(Form("dXYvsDZ%s",str),"",200,-10,10,200,-10,10);
-
- hDXYNormalized[i] = new TH1F(Form("dXYNormalized%s",str),"",500,-10,10);
- hDZNormalized[i] = new TH1F(Form("dZNormalized%s",str),"",500,-10,10);
- hDXYvsDZNormalized[i] = new TH2F(Form("dXYvsDZNormalized%s",str),"",200,-10,10,200,-10,10);
-
-
- hNClustersITS[i] ->SetXTitle("n ITS clusters");
- hNClustersTPC[i] ->SetXTitle("n TPC clusters");
- hChi2PerClusterITS[i] ->SetXTitle("#Chi^{2} per ITS cluster");
- hChi2PerClusterTPC[i] ->SetXTitle("#Chi^{2} per TPC cluster");
-
- hC11[i] ->SetXTitle("cov 11 : #sigma_{y}^{2} [cm^{2}]");
- hC22[i] ->SetXTitle("cov 22 : #sigma_{z}^{2} [cm^{2}]");
- hC33[i] ->SetXTitle("cov 33 : #sigma_{sin(#phi)}^{2}");
- hC44[i] ->SetXTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}");
- hC55[i] ->SetXTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]");
-
- hDXY[i] ->SetXTitle("transverse impact parameter");
- hDZ[i] ->SetXTitle("longitudinal impact parameter");
- hDXYvsDZ[i] ->SetXTitle("longitudinal impact parameter");
- hDXYvsDZ[i] ->SetYTitle("transverse impact parameter");
-
- hDXYNormalized[i] ->SetXTitle("normalized trans impact par");
- hDZNormalized[i] ->SetXTitle("normalized long impact par");
- hDXYvsDZNormalized[i] ->SetXTitle("normalized long impact par");
- hDXYvsDZNormalized[i] ->SetYTitle("normalized trans impact par");
-
- hNClustersITS[i] ->SetLineColor(color); hNClustersITS[i] ->SetLineWidth(2);
- hNClustersTPC[i] ->SetLineColor(color); hNClustersTPC[i] ->SetLineWidth(2);
- hChi2PerClusterITS[i] ->SetLineColor(color); hChi2PerClusterITS[i] ->SetLineWidth(2);
- hChi2PerClusterTPC[i] ->SetLineColor(color); hChi2PerClusterTPC[i] ->SetLineWidth(2);
-
- hC11[i] ->SetLineColor(color); hC11[i] ->SetLineWidth(2);
- hC22[i] ->SetLineColor(color); hC22[i] ->SetLineWidth(2);
- hC33[i] ->SetLineColor(color); hC33[i] ->SetLineWidth(2);
- hC44[i] ->SetLineColor(color); hC44[i] ->SetLineWidth(2);
- hC55[i] ->SetLineColor(color); hC55[i] ->SetLineWidth(2);
-
- hDXY[i] ->SetLineColor(color); hDXY[i] ->SetLineWidth(2);
- hDZ[i] ->SetLineColor(color); hDZ[i] ->SetLineWidth(2);
-
- hDXYNormalized[i] ->SetLineColor(color); hDXYNormalized[i] ->SetLineWidth(2);
- hDZNormalized[i] ->SetLineColor(color); hDZNormalized[i] ->SetLineWidth(2);
-
+ fhNClustersITS[i] = new TH1F(Form("nClustersITS%s",str),"",8,-0.5,7.5);
+ fhNClustersTPC[i] = new TH1F(Form("nClustersTPC%s",str),"",165,-0.5,164.5);
+ 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);
+ fhC44[i] = new TH1F(Form("covMatrixDiagonal44%s",str),"",1000,0,5);
+ fhC55[i] = new TH1F(Form("covMatrixDiagonal55%s",str),"",1000,0,5);
+
+ fhDXY[i] = new TH1F(Form("dXY%s",str),"",500,-10,10);
+ fhDZ[i] = new TH1F(Form("dZ%s",str),"",500,-10,10);
+ fhDXYvsDZ[i] = new TH2F(Form("dXYvsDZ%s",str),"",200,-10,10,200,-10,10);
+
+ fhDXYNormalized[i] = new TH1F(Form("dXYNormalized%s",str),"",500,-10,10);
+ 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);
+
+
+ fhNClustersITS[i]->SetXTitle("n ITS clusters");
+ fhNClustersTPC[i]->SetXTitle("n TPC clusters");
+ fhChi2PerClusterITS[i]->SetXTitle("#Chi^{2} per ITS cluster");
+ fhChi2PerClusterTPC[i]->SetXTitle("#Chi^{2} per TPC cluster");
+
+ fhC11[i]->SetXTitle("cov 11 : #sigma_{y}^{2} [cm^{2}]");
+ fhC22[i]->SetXTitle("cov 22 : #sigma_{z}^{2} [cm^{2}]");
+ fhC33[i]->SetXTitle("cov 33 : #sigma_{sin(#phi)}^{2}");
+ fhC44[i]->SetXTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}");
+ fhC55[i]->SetXTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]");
+
+ fhDXY[i]->SetXTitle("transverse impact parameter");
+ fhDZ[i]->SetXTitle("longitudinal impact parameter");
+ fhDXYvsDZ[i]->SetXTitle("longitudinal impact parameter");
+ fhDXYvsDZ[i]->SetYTitle("transverse impact parameter");
+
+ fhDXYNormalized[i]->SetXTitle("normalized trans impact par");
+ fhDZNormalized[i]->SetXTitle("normalized long impact par");
+ fhDXYvsDZNormalized[i]->SetXTitle("normalized long impact par");
+ fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par");
+
+ fhNClustersITS[i]->SetLineColor(color); fhNClustersITS[i]->SetLineWidth(2);
+ fhNClustersTPC[i]->SetLineColor(color); fhNClustersTPC[i]->SetLineWidth(2);
+ fhChi2PerClusterITS[i]->SetLineColor(color); fhChi2PerClusterITS[i]->SetLineWidth(2);
+ fhChi2PerClusterTPC[i]->SetLineColor(color); fhChi2PerClusterTPC[i]->SetLineWidth(2);
+
+ fhC11[i]->SetLineColor(color); fhC11[i]->SetLineWidth(2);
+ fhC22[i]->SetLineColor(color); fhC22[i]->SetLineWidth(2);
+ fhC33[i]->SetLineColor(color); fhC33[i]->SetLineWidth(2);
+ fhC44[i]->SetLineColor(color); fhC44[i]->SetLineWidth(2);
+ fhC55[i]->SetLineColor(color); fhC55[i]->SetLineWidth(2);
+
+ fhDXY[i]->SetLineColor(color); fhDXY[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);
}
}
//____________________________________________________________________
void
-AliESDtrackCuts::Print() {
+AliESDtrackCuts::Print(const Option_t*) const {
+ //
+ // print method - still to be implemented
+ //
AliInfo("AliESDtrackCuts...");
}
//____________________________________________________________________
-void
-AliESDtrackCuts::SaveHistograms(Char_t* dir) {
+void AliESDtrackCuts::SaveHistograms(Char_t* dir) {
+ //
+ // saves the histograms in a directory (dir)
+ //
+
if (!fHistogramsOn) {
AliDebug(0, "Histograms not on - cannot save histograms!!!");
gDirectory->mkdir("before_cuts");
gDirectory->mkdir("after_cuts");
- hCutStatistics->Write();
- hCutCorrelation->Write();
+ fhCutStatistics->Write();
+ fhCutCorrelation->Write();
for (Int_t i=0; i<2; i++) {
if (i==0)
else
gDirectory->cd("after_cuts");
- hNClustersITS[i] ->Write();
- hNClustersTPC[i] ->Write();
- hChi2PerClusterITS[i] ->Write();
- hChi2PerClusterTPC[i] ->Write();
+ fhNClustersITS[i] ->Write();
+ fhNClustersTPC[i] ->Write();
+ fhChi2PerClusterITS[i] ->Write();
+ fhChi2PerClusterTPC[i] ->Write();
- hC11[i] ->Write();
- hC22[i] ->Write();
- hC33[i] ->Write();
- hC44[i] ->Write();
- hC55[i] ->Write();
-
- hDXY[i] ->Write();
- hDZ[i] ->Write();
- hDXYvsDZ[i] ->Write();
+ fhC11[i] ->Write();
+ fhC22[i] ->Write();
+ fhC33[i] ->Write();
+ fhC44[i] ->Write();
+ fhC55[i] ->Write();
+
+ fhDXY[i] ->Write();
+ fhDZ[i] ->Write();
+ fhDXYvsDZ[i] ->Write();
- hDXYNormalized[i] ->Write();
- hDZNormalized[i] ->Write();
- hDXYvsDZNormalized[i] ->Write();
+ fhDXYNormalized[i] ->Write();
+ fhDZNormalized[i] ->Write();
+ fhDXYvsDZNormalized[i] ->Write();
gDirectory->cd("../");
}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff