/************************************************************************** * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * * * * Author: The ALICE Off-line Project. * * Contributors are mentioned in the code where appropriate. * * * * Permission to use, copy, modify and distribute this software and its * * documentation strictly for non-commercial purposes is hereby granted * * without fee, provided that the above copyright notice appears in all * * copies and that both the copyright notice and this permission notice * * appear in the supporting documentation. The authors make no claims * * about the suitability of this software for any purpose. It is * * provided "as is" without express or implied warranty. * **************************************************************************/ //----------------------------------------------------------------------- // This class stores QA variables as function of pT for different type // of tracks and track selection criteria // Output: Histograms for different set of cuts //----------------------------------------------------------------------- // Author : M. Verweij - UU //----------------------------------------------------------------------- #ifndef ALIPWG4HIGHPTTRACKQA_CXX #define ALIPWG4HIGHPTTRACKQA_CXX #include "AliPWG4HighPtTrackQA.h" #include "TH1.h" #include "TH2.h" #include "TH3.h" #include "TProfile.h" #include "TList.h" #include "TFile.h" #include "TChain.h" #include "TH3F.h" #include "TKey.h" #include "TSystem.h" #include "TBits.h" #include "AliAnalysisManager.h" #include "AliESDInputHandler.h" #include "AliMCEvent.h" #include "AliMCEventHandler.h" #include "AliStack.h" #include "AliESDtrack.h" #include "AliESDtrackCuts.h" #include "AliExternalTrackParam.h" #include "AliLog.h" #include "AliGenPythiaEventHeader.h" #include "AliGenCocktailEventHeader.h" #include "AliCentrality.h" #include "AliAODVertex.h" #include "AliAODEvent.h" using namespace std; //required for resolving the 'cout' symbol ClassImp(AliPWG4HighPtTrackQA) AliPWG4HighPtTrackQA::AliPWG4HighPtTrackQA() : AliAnalysisTaskSE(), fDataType(kESD), fEvent(0x0), fESD(0x0), fVtx(0x0), fVtxAOD(0x0), fTrackCuts(0x0), fTrackCutsITSLoose(0x0), fTrackCutsTPConly(0x0), fTrackType(0), fFilterMask(0), fIncludeNoITS(kFALSE), fSigmaConstrainedMax(-1.), fPtMax(100.), fIsPbPb(0), fCentClass(10), fNVariables(26), fVariables(0x0), fITSClusterMap(0), fAvgTrials(1), fNEventAll(0), fNEventSel(0), fNEventReject(0), fh1Centrality(0x0), fh1Xsec(0), fh1Trials(0), fh1PtHard(0), fh1PtHardTrials(0), fh1NTracksAll(0x0), fh1NTracksReject(0x0), fh1NTracksSel(0x0), fPtAll(0), fPtSel(0), fPtPhi(0x0), fPtEta(0x0), fPtEtaPhi(0x0), fPtDCA2D(0x0), fPtDCAZ(0x0), fPtNClustersTPC(0x0), fPtNClustersTPCPhi(0x0), fPtNClustersTPCIter1(0x0), fPtNClustersTPCIter1Phi(0x0), fPtNClustersTPCShared(0x0), fPtNClustersTPCSharedFrac(0x0), fPtNPointITS(0x0), fPtNPointITSPhi(0x0), fPtChi2C(0x0), fPtNSigmaToVertex(0x0), fPtRelUncertainty1Pt(0x0), fPtRelUncertainty1PtNClus(0x0), fPtRelUncertainty1PtNClusIter1(0x0), fPtRelUncertainty1PtNPointITS(0x0), fPtRelUncertainty1PtITSClusterMap(0x0), fPtRelUncertainty1PtChi2(0x0), fPtRelUncertainty1PtChi2Iter1(0x0), fPtRelUncertainty1PtPhi(0x0), fPtChi2PerClusterTPC(0x0), fPtChi2PerClusterTPCIter1(0x0), fPtNCrossedRows(0x0), fPtNCrossedRowsPhi(0x0), fPtNCrossedRowsNClusFPhi(0x0), fPtNCrRNCrRNClusF(0x0), fPtNCrossedRowsFit(0x0), fPtNCrossedRowsFitPhi(0x0), fPtNCrossedRowsNClusFFitPhi(0x0), fNCrossedRowsNCrossedRowsFit(0x0), fNClustersNCrossedRows(0x0), fNClustersNCrossedRowsFit(0x0), fPtNClustersNClustersFitMap(0x0), fPtRelUncertainty1PtNCrossedRows(0x0), fPtRelUncertainty1PtNCrossedRowsFit(0x0), fPtChi2Gold(0x0), fPtChi2GGC(0x0), fPtChi2GoldPhi(0x0), fPtChi2GGCPhi(0x0), fChi2GoldChi2GGC(0x0), fPtChi2ITSPhi(0x0), fPtSigmaY2(0x0), fPtSigmaZ2(0x0), fPtSigmaSnp2(0x0), fPtSigmaTgl2(0x0), fPtSigma1Pt2(0x0), fProfPtSigmaY2(0x0), fProfPtSigmaZ2(0x0), fProfPtSigmaSnp2(0x0), fProfPtSigmaTgl2(0x0), fProfPtSigma1Pt2(0x0), fProfPtSigma1Pt(0x0), fProfPtPtSigma1Pt(0x0), fHistList(0) { // // Constructor // SetNVariables(26); fPtBinEdges[0][0] = 10.; fPtBinEdges[0][1] = 1.; fPtBinEdges[1][0] = 20.; fPtBinEdges[1][1] = 2.; fPtBinEdges[2][0] = 100.; fPtBinEdges[2][1] = 5.; } //________________________________________________________________________ AliPWG4HighPtTrackQA::AliPWG4HighPtTrackQA(const char *name): AliAnalysisTaskSE(name), fDataType(kESD), fEvent(0x0), fESD(0x0), fVtx(0x0), fVtxAOD(0x0), fTrackCuts(0x0), fTrackCutsITSLoose(0x0), fTrackCutsTPConly(0x0), fTrackType(0), fFilterMask(0), fIncludeNoITS(kFALSE), fSigmaConstrainedMax(-1.), fPtMax(100.), fIsPbPb(0), fCentClass(10), fNVariables(26), fVariables(0x0), fITSClusterMap(0), fAvgTrials(1), fNEventAll(0), fNEventSel(0), fNEventReject(0), fh1Centrality(0x0), fh1Xsec(0), fh1Trials(0), fh1PtHard(0), fh1PtHardTrials(0), fh1NTracksAll(0x0), fh1NTracksReject(0x0), fh1NTracksSel(0x0), fPtAll(0), fPtSel(0), fPtPhi(0x0), fPtEta(0x0), fPtEtaPhi(0x0), fPtDCA2D(0x0), fPtDCAZ(0x0), fPtNClustersTPC(0x0), fPtNClustersTPCPhi(0x0), fPtNClustersTPCIter1(0x0), fPtNClustersTPCIter1Phi(0x0), fPtNClustersTPCShared(0x0), fPtNClustersTPCSharedFrac(0x0), fPtNPointITS(0x0), fPtNPointITSPhi(0x0), fPtChi2C(0x0), fPtNSigmaToVertex(0x0), fPtRelUncertainty1Pt(0x0), fPtRelUncertainty1PtNClus(0x0), fPtRelUncertainty1PtNClusIter1(0x0), fPtRelUncertainty1PtNPointITS(0x0), fPtRelUncertainty1PtITSClusterMap(0x0), fPtRelUncertainty1PtChi2(0x0), fPtRelUncertainty1PtChi2Iter1(0x0), fPtRelUncertainty1PtPhi(0x0), fPtChi2PerClusterTPC(0x0), fPtChi2PerClusterTPCIter1(0x0), fPtNCrossedRows(0x0), fPtNCrossedRowsPhi(0x0), fPtNCrossedRowsNClusFPhi(0x0), fPtNCrRNCrRNClusF(0x0), fPtNCrossedRowsFit(0x0), fPtNCrossedRowsFitPhi(0x0), fPtNCrossedRowsNClusFFitPhi(0x0), fNCrossedRowsNCrossedRowsFit(0x0), fNClustersNCrossedRows(0x0), fNClustersNCrossedRowsFit(0x0), fPtNClustersNClustersFitMap(0x0), fPtRelUncertainty1PtNCrossedRows(0x0), fPtRelUncertainty1PtNCrossedRowsFit(0x0), fPtChi2Gold(0x0), fPtChi2GGC(0x0), fPtChi2GoldPhi(0x0), fPtChi2GGCPhi(0x0), fChi2GoldChi2GGC(0x0), fPtChi2ITSPhi(0x0), fPtSigmaY2(0x0), fPtSigmaZ2(0x0), fPtSigmaSnp2(0x0), fPtSigmaTgl2(0x0), fPtSigma1Pt2(0x0), fProfPtSigmaY2(0x0), fProfPtSigmaZ2(0x0), fProfPtSigmaSnp2(0x0), fProfPtSigmaTgl2(0x0), fProfPtSigma1Pt2(0x0), fProfPtSigma1Pt(0x0), fProfPtPtSigma1Pt(0x0), fHistList(0) { // // Constructor. Initialization of Inputs and Outputs // AliDebug(2,Form("AliPWG4HighPtTrackQA Calling Constructor")); SetNVariables(26); fPtBinEdges[0][0] = 10.; fPtBinEdges[0][1] = 1.; fPtBinEdges[1][0] = 20.; fPtBinEdges[1][1] = 2.; fPtBinEdges[2][0] = 100.; fPtBinEdges[2][1] = 5.; // Input slot #0 works with a TChain ESD DefineInput(0, TChain::Class()); // Output slot #1 write into a TList DefineOutput(1, TList::Class()); } //________________________________________________________________________ void AliPWG4HighPtTrackQA::SetPtBinEdges(Int_t region, Double_t ptmax, Double_t ptBinWidth) { // // Set variable bin sizes for pT axis in histos // if(region<3) { fPtBinEdges[region][0] = ptmax; fPtBinEdges[region][1] = ptBinWidth; } else { AliError("Only 3 regions alowed. Use region 0/1/2\n"); return; } } //________________________________________________________________________ void AliPWG4HighPtTrackQA::UserCreateOutputObjects() { //Create output objects AliDebug(2,Form(">> AliPWG4HighPtTrackQA::UserCreateOutputObjects \n")); Bool_t oldStatus = TH1::AddDirectoryStatus(); TH1::AddDirectory(kFALSE); OpenFile(1); fHistList = new TList(); fHistList->SetOwner(kTRUE); Float_t fgkPtMin = 0.; // Float_t fgkPtMax = fPtMax; //fPtBinEdges[region][0] = ptmax of region ; fPtBinEdges[region][1] = binWidth of region const Float_t ptmin1 = fgkPtMin; const Float_t ptmax1 = fPtBinEdges[0][0]; const Float_t ptmin2 = ptmax1 ; const Float_t ptmax2 = fPtBinEdges[1][0]; const Float_t ptmin3 = ptmax2 ; const Float_t ptmax3 = fPtBinEdges[2][0];//fgkPtMax; const Int_t nbin11 = (int)((ptmax1-ptmin1)/fPtBinEdges[0][1]); const Int_t nbin12 = (int)((ptmax2-ptmin2)/fPtBinEdges[1][1])+nbin11; const Int_t nbin13 = (int)((ptmax3-ptmin3)/fPtBinEdges[2][1])+nbin12; Int_t fgkNPtBins=nbin13; //Create array with low edges of each bin Double_t *binsPt=new Double_t[fgkNPtBins+1]; for(Int_t i=0; i<=fgkNPtBins; i++) { if(i<=nbin11) binsPt[i]=(Double_t)ptmin1 + (ptmax1-ptmin1)/nbin11*(Double_t)i ; if(i<=nbin12 && i>nbin11) binsPt[i]=(Double_t)ptmin2 + (ptmax2-ptmin2)/(nbin12-nbin11)*((Double_t)i-(Double_t)nbin11) ; if(i<=nbin13 && i>nbin12) binsPt[i]=(Double_t)ptmin3 + (ptmax3-ptmin3)/(nbin13-nbin12)*((Double_t)i-(Double_t)nbin12) ; } Int_t fgkNPhiBins = 18*6; Float_t kMinPhi = 0.; Float_t kMaxPhi = 2.*TMath::Pi(); Double_t *binsPhi = new Double_t[fgkNPhiBins+1]; for(Int_t i=0; i<=fgkNPhiBins; i++) binsPhi[i]=(Double_t)kMinPhi + (kMaxPhi-kMinPhi)/fgkNPhiBins*(Double_t)i ; Int_t fgkNEtaBins=20; Float_t fgkEtaMin = -1.; Float_t fgkEtaMax = 1.; Double_t *binsEta=new Double_t[fgkNEtaBins+1]; for(Int_t i=0; i<=fgkNEtaBins; i++) binsEta[i]=(Double_t)fgkEtaMin + (fgkEtaMax-fgkEtaMin)/fgkNEtaBins*(Double_t)i ; Int_t fgkNNClustersTPCBins=80; Float_t fgkNClustersTPCMin = 0.5; Float_t fgkNClustersTPCMax = 160.5; Double_t *binsNClustersTPC=new Double_t[fgkNNClustersTPCBins+1]; for(Int_t i=0; i<=fgkNNClustersTPCBins; i++) binsNClustersTPC[i]=(Double_t)fgkNClustersTPCMin + (fgkNClustersTPCMax-fgkNClustersTPCMin)/fgkNNClustersTPCBins*(Double_t)i ; Int_t fgkNDCA2DBins=80; Float_t fgkDCA2DMin = -0.2; Float_t fgkDCA2DMax = 0.2; if(fTrackType==1 || fTrackType==2 || fTrackType==4 || fTrackType==7) { fgkDCA2DMin = -2.; fgkDCA2DMax = 2.; } Double_t *binsDCA2D=new Double_t[fgkNDCA2DBins+1]; for(Int_t i=0; i<=fgkNDCA2DBins; i++) binsDCA2D[i]=(Double_t)fgkDCA2DMin + (fgkDCA2DMax-fgkDCA2DMin)/fgkNDCA2DBins*(Double_t)i ; Int_t fgkNDCAZBins=80; Float_t fgkDCAZMin = -2.; Float_t fgkDCAZMax = 2.; if(fTrackType==1 || fTrackType==2 || fTrackType==4) { fgkDCAZMin = -5.; fgkDCAZMax = 5.; } Double_t *binsDCAZ=new Double_t[fgkNDCAZBins+1]; for(Int_t i=0; i<=fgkNDCAZBins; i++) binsDCAZ[i]=(Double_t)fgkDCAZMin + (fgkDCAZMax-fgkDCAZMin)/fgkNDCAZBins*(Double_t)i ; Int_t fgkNNPointITSBins=9; Float_t fgkNPointITSMin = -0.5; Float_t fgkNPointITSMax = 8.5; Double_t *binsNPointITS=new Double_t[fgkNNPointITSBins+1]; for(Int_t i=0; i<=fgkNNPointITSBins; i++) binsNPointITS[i]=(Double_t)fgkNPointITSMin + (fgkNPointITSMax-fgkNPointITSMin)/fgkNNPointITSBins*(Double_t)i ; Int_t fgkNITSClusterMapBins=65; Float_t fgkITSClusterMapMin = -0.5; Float_t fgkITSClusterMapMax = 64.5; Double_t *binsITSClusterMap=new Double_t[fgkNITSClusterMapBins+1]; for(Int_t i=0; i<=fgkNITSClusterMapBins; i++) binsITSClusterMap[i]=(Double_t)fgkITSClusterMapMin + (fgkITSClusterMapMax-fgkITSClusterMapMin)/fgkNITSClusterMapBins*(Double_t)i ; Int_t fgkNNSigmaToVertexBins=9; Float_t fgkNSigmaToVertexMin = 0.; Float_t fgkNSigmaToVertexMax = 9.; Double_t *binsNSigmaToVertex=new Double_t[fgkNNSigmaToVertexBins+1]; for(Int_t i=0; i<=fgkNNSigmaToVertexBins; i++) binsNSigmaToVertex[i]=(Double_t)fgkNSigmaToVertexMin + (fgkNSigmaToVertexMax-fgkNSigmaToVertexMin)/fgkNNSigmaToVertexBins*(Double_t)i ; Int_t fgkNChi2CBins=10; // Float_t fgkChi2CMin = 0.; // Float_t fgkChi2CMax = 100.; //10 sigma Double_t *binsChi2C=new Double_t[fgkNChi2CBins+1]; for(Int_t i=0; i<=fgkNChi2CBins; i++) binsChi2C[i] = (Double_t)i * (Double_t)i; Float_t fgkRel1PtUncertaintyMin = 0.; Float_t fgkRel1PtUncertaintyMax = 1.; Float_t binEdgeRel1PtUncertainty1= 0.3; Int_t fgkNRel1PtUncertaintyBins1 = 45; Float_t binWidthRel1PtUncertainty1 = (binEdgeRel1PtUncertainty1-fgkRel1PtUncertaintyMin)/((Float_t)fgkNRel1PtUncertaintyBins1); Int_t fgkNRel1PtUncertaintyBins2 = 35; Float_t binWidthRel1PtUncertainty2 = (fgkRel1PtUncertaintyMax-binEdgeRel1PtUncertainty1)/((Float_t)fgkNRel1PtUncertaintyBins2); Int_t fgkNRel1PtUncertaintyBins = fgkNRel1PtUncertaintyBins1 + fgkNRel1PtUncertaintyBins2; Double_t *binsRel1PtUncertainty=new Double_t[fgkNRel1PtUncertaintyBins+1]; for(Int_t i=0; i<=fgkNRel1PtUncertaintyBins; i++) { if(i<=fgkNRel1PtUncertaintyBins1) binsRel1PtUncertainty[i]=(Double_t)fgkRel1PtUncertaintyMin + (Double_t)binWidthRel1PtUncertainty1*(Double_t)i ; if(i<=fgkNRel1PtUncertaintyBins && i>fgkNRel1PtUncertaintyBins1) binsRel1PtUncertainty[i]=(Double_t)binEdgeRel1PtUncertainty1 + (Double_t)binWidthRel1PtUncertainty2*(Double_t)(i-fgkNRel1PtUncertaintyBins1); } Int_t fgkNUncertainty1PtBins = 30; Float_t fgkUncertainty1PtMin = 0.; Float_t fgkUncertainty1PtMax = 0.1; if(fTrackType==1 || fTrackType==2 || fTrackType==4) fgkUncertainty1PtMax = 0.2; Double_t *binsUncertainty1Pt=new Double_t[fgkNUncertainty1PtBins+1]; for(Int_t i=0; i<=fgkNUncertainty1PtBins; i++) binsUncertainty1Pt[i]=(Double_t)fgkUncertainty1PtMin + (fgkUncertainty1PtMax-fgkUncertainty1PtMin)/fgkNUncertainty1PtBins*(Double_t)i ; Float_t fgkChi2PerClusMin = 0.; Float_t fgkChi2PerClusMax = 4.; Int_t fgkNChi2PerClusBins = (int)(fgkChi2PerClusMax*10.); Double_t *binsChi2PerClus=new Double_t[fgkNChi2PerClusBins+1]; for(Int_t i=0; i<=fgkNChi2PerClusBins; i++) binsChi2PerClus[i]=(Double_t)fgkChi2PerClusMin + (fgkChi2PerClusMax-fgkChi2PerClusMin)/fgkNChi2PerClusBins*(Double_t)i ; Int_t fgkNCrossedRowsNClusFBins = 45; Float_t fgkNCrossedRowsNClusFMin = 0.; Float_t fgkNCrossedRowsNClusFMax = 1.5; Double_t *binsNCrossedRowsNClusF=new Double_t[fgkNCrossedRowsNClusFBins+1]; for(Int_t i=0; i<=fgkNCrossedRowsNClusFBins; i++) binsNCrossedRowsNClusF[i]=(Double_t)fgkNCrossedRowsNClusFMin + (fgkNCrossedRowsNClusFMax-fgkNCrossedRowsNClusFMin)/fgkNCrossedRowsNClusFBins*(Double_t)i ; Float_t fgk1PtMin = 0.; Float_t fgk1PtMax = 6.; Float_t binEdge1Pt1 = 1.; Float_t binWidth1Pt1 = 0.05; Int_t fgkN1PtBins1 = (int)((binEdge1Pt1-fgk1PtMin)/binWidth1Pt1); Float_t binWidth1Pt2 = 0.1; Int_t fgkN1PtBins2 = (int)((fgk1PtMax-binEdge1Pt1)/binWidth1Pt2); Int_t fgkN1PtBins = fgkN1PtBins1+fgkN1PtBins2; Double_t *bins1Pt=new Double_t[fgkN1PtBins+1]; for(Int_t i=0; i<=fgkN1PtBins; i++) { if(i<=fgkN1PtBins1) bins1Pt[i]=(Double_t)fgk1PtMin + (Double_t)(binEdge1Pt1-fgk1PtMin)/(Double_t)fgkN1PtBins1*(Double_t)i; if(i<=fgkN1PtBins && i>fgkN1PtBins1) bins1Pt[i]=(Double_t)binEdge1Pt1 + (Double_t)(fgk1PtMax-binEdge1Pt1)/(Double_t)fgkN1PtBins2*(Double_t)(i-fgkN1PtBins1); } Int_t fgkNSigmaY2Bins = 50; Float_t fgkSigmaY2Min = 0.; Float_t fgkSigmaY2Max = 1.; if(fTrackType==1) fgkSigmaY2Max = 4.; if(fTrackType==2 || fTrackType==4) fgkSigmaY2Max = 0.1; Double_t *binsSigmaY2=new Double_t[fgkNSigmaY2Bins+1]; for(Int_t i=0; i<=fgkNSigmaY2Bins; i++) binsSigmaY2[i]=(Double_t)fgkSigmaY2Min + (fgkSigmaY2Max-fgkSigmaY2Min)/fgkNSigmaY2Bins*(Double_t)i ; Int_t fgkNSigmaZ2Bins = 50; Float_t fgkSigmaZ2Min = 0.; Float_t fgkSigmaZ2Max = 0.4; Double_t *binsSigmaZ2=new Double_t[fgkNSigmaZ2Bins+1]; for(Int_t i=0; i<=fgkNSigmaZ2Bins; i++) binsSigmaZ2[i]=(Double_t)fgkSigmaZ2Min + (fgkSigmaZ2Max-fgkSigmaZ2Min)/fgkNSigmaZ2Bins*(Double_t)i ; Int_t fgkNSigmaSnp2Bins = 50; Float_t fgkSigmaSnp2Min = 0.; Float_t fgkSigmaSnp2Max = 0.05; if(fTrackType==1) fgkSigmaSnp2Max = 0.2; if(fTrackType==2 || fTrackType==4) fgkSigmaSnp2Max = 0.1; Double_t *binsSigmaSnp2=new Double_t[fgkNSigmaSnp2Bins+1]; for(Int_t i=0; i<=fgkNSigmaSnp2Bins; i++) binsSigmaSnp2[i]=(Double_t)fgkSigmaSnp2Min + (fgkSigmaSnp2Max-fgkSigmaSnp2Min)/fgkNSigmaSnp2Bins*(Double_t)i ; Int_t fgkNSigmaTgl2Bins = 50; Float_t fgkSigmaTgl2Min = 0.; Float_t fgkSigmaTgl2Max = 0.1; if(fTrackType==1) fgkSigmaTgl2Max = 0.2; if(fTrackType==2 || fTrackType==4) fgkSigmaTgl2Max = 0.1; Double_t *binsSigmaTgl2=new Double_t[fgkNSigmaTgl2Bins+1]; for(Int_t i=0; i<=fgkNSigmaTgl2Bins; i++) binsSigmaTgl2[i]=(Double_t)fgkSigmaTgl2Min + (fgkSigmaTgl2Max-fgkSigmaTgl2Min)/fgkNSigmaTgl2Bins*(Double_t)i ; Int_t fgkNSigma1Pt2Bins = 50; Float_t fgkSigma1Pt2Min = 0.; Float_t fgkSigma1Pt2Max = 1.; Double_t *binsSigma1Pt2=new Double_t[fgkNSigma1Pt2Bins+1]; for(Int_t i=0; i<=fgkNSigma1Pt2Bins; i++) binsSigma1Pt2[i]=(Double_t)fgkSigma1Pt2Min + (fgkSigma1Pt2Max-fgkSigma1Pt2Min)/fgkNSigma1Pt2Bins*(Double_t)i ; fNEventAll = new TH1F("fNEventAll","NEventAll",1,-0.5,0.5); fHistList->Add(fNEventAll); fNEventSel = new TH1F("fNEventSel","NEvent Selected for analysis",1,-0.5,0.5); fHistList->Add(fNEventSel); fNEventReject = new TH1F("fNEventReject","Reason events are rejectected for analysis",20,0,20); //Set labels fNEventReject->Fill("noESD",0); fNEventReject->Fill("Trigger",0); fNEventReject->Fill("NTracks<2",0); fNEventReject->Fill("noVTX",0); fNEventReject->Fill("VtxStatus",0); fNEventReject->Fill("NCont<2",0); fNEventReject->Fill("ZVTX>10",0); fNEventReject->Fill("cent",0); fNEventReject->Fill("cent>90",0); fHistList->Add(fNEventReject); fh1Centrality = new TH1F("fh1Centrality","fh1Centrality; Centrality %",100,0,100); fHistList->Add(fh1Centrality); fh1Xsec = new TProfile("fh1Xsec","xsec from pyxsec.root",1,0,1); fh1Xsec->GetXaxis()->SetBinLabel(1,"<#sigma>"); fHistList->Add(fh1Xsec); fh1Trials = new TH1F("fh1Trials","trials root file",1,0,1); fh1Trials->GetXaxis()->SetBinLabel(1,"#sum{ntrials}"); fHistList->Add(fh1Trials); fh1PtHard = new TH1F("fh1PtHard","PYTHIA Pt hard;p_{T,hard}",350,-.5,349.5); fHistList->Add(fh1PtHard); fh1PtHardTrials = new TH1F("fh1PtHardTrials","PYTHIA Pt hard weight with trials;p_{T,hard}",350,-.5,349.5); fHistList->Add(fh1PtHardTrials); fh1NTracksAll = new TH1F("fh1NTracksAll","fh1NTracksAll",1,-0.5,0.5); fHistList->Add(fh1NTracksAll); fh1NTracksReject = new TH1F("fh1NTracksReject","fh1NTracksReject",1,-0.5,0.5); fh1NTracksReject->Fill("noHybridTrack",0); fh1NTracksReject->Fill("noITSrefit",0); fh1NTracksReject->Fill("noESDtrack",0); fh1NTracksReject->Fill("noTPCInner",0); fh1NTracksReject->Fill("FillTPC",0); fh1NTracksReject->Fill("noTPConly",0); fh1NTracksReject->Fill("relate",0); fh1NTracksReject->Fill("trackCuts",0); fh1NTracksReject->Fill("laser",0); fh1NTracksReject->Fill("chi2",0); fHistList->Add(fh1NTracksReject); fh1NTracksSel = new TH1F("fh1NTracksSel","fh1NTracksSel",1,-0.5,0.5); fHistList->Add(fh1NTracksSel); fPtAll = new TH1F("fPtAll","PtAll",fgkNPtBins, binsPt); fHistList->Add(fPtAll); fPtSel = new TH1F("fPtSel","PtSel",fgkNPtBins, binsPt); fHistList->Add(fPtSel); fPtPhi = new TH2F("fPtPhi","fPtPhi",fgkNPtBins,binsPt,fgkNPhiBins,binsPhi); fHistList->Add(fPtPhi); fPtEta = new TH2F("fPtEta","fPtEta",fgkNPtBins,binsPt,fgkNEtaBins,binsEta); fHistList->Add(fPtEta); fPtEtaPhi = new TH3F("fPtEtaPhi","fPtEtaPhi",fgkNPtBins,binsPt,fgkNEtaBins,binsEta,fgkNPhiBins,binsPhi); fHistList->Add(fPtEtaPhi); fPtDCA2D = new TH2F("fPtDCA2D","fPtDCA2D",fgkNPtBins,binsPt,fgkNDCA2DBins,binsDCA2D); fHistList->Add(fPtDCA2D); fPtDCAZ = new TH2F("fPtDCAZ","fPtDCAZ",fgkNPtBins,binsPt,fgkNDCAZBins,binsDCAZ); fHistList->Add(fPtDCAZ); fPtNClustersTPC = new TH2F("fPtNClustersTPC","fPtNClustersTPC",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fPtNClustersTPC); fPtNClustersTPCPhi = new TH2F("fPtNClustersTPCPhi","fPtNClustersTPCPhi",fgkNPhiBins,binsPhi,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fPtNClustersTPCPhi); fPtNClustersTPCIter1 = new TH2F("fPtNClustersTPCIter1","fPtNClustersTPCIter1",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fPtNClustersTPCIter1); fPtNClustersTPCIter1Phi = new TH3F("fPtNClustersTPCIter1Phi","fPtNClustersTPCIter1Phi",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNPhiBins,binsPhi); fHistList->Add(fPtNClustersTPCIter1Phi); fPtNClustersTPCShared = new TH2F("fPtNClustersTPCShared","fPtNClustersTPCShared",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fPtNClustersTPCShared); fPtNClustersTPCSharedFrac = new TH2F("fPtNClustersTPCSharedFrac","fPtNClustersTPCSharedFrac",fgkNPtBins,binsPt,fgkNSigma1Pt2Bins,binsSigma1Pt2); fHistList->Add(fPtNClustersTPCSharedFrac); fPtNPointITS = new TH2F("fPtNPointITS","fPtNPointITS",fgkNPtBins,binsPt,fgkNNPointITSBins,binsNPointITS); fHistList->Add(fPtNPointITS); fPtNPointITSPhi = new TH3F("fPtNPointITSPhi","fPtNPointITSPhi",fgkNPtBins,binsPt,fgkNNPointITSBins,binsNPointITS,fgkNPhiBins,binsPhi); fHistList->Add(fPtNPointITSPhi); fPtChi2C = new TH2F("fPtChi2C","fPtChi2C",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C); fHistList->Add(fPtChi2C); fPtNSigmaToVertex = new TH2F("fPtNSigmaToVertex","fPtNSigmaToVertex",fgkNPtBins,binsPt,fgkNNSigmaToVertexBins,binsNSigmaToVertex); fHistList->Add(fPtNSigmaToVertex); fPtRelUncertainty1Pt = new TH2F("fPtRelUncertainty1Pt","fPtRelUncertainty1Pt",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty); fHistList->Add(fPtRelUncertainty1Pt); fPtRelUncertainty1PtNClus = new TH3F("fPtRelUncertainty1PtNClus","fPtRelUncertainty1PtNClus",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fPtRelUncertainty1PtNClus); fPtRelUncertainty1PtNClusIter1 = new TH3F("fPtRelUncertainty1PtNClusIter1","fPtRelUncertainty1PtNClusIter1",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fPtRelUncertainty1PtNClusIter1); fPtRelUncertainty1PtNPointITS = new TH3F("fPtRelUncertainty1PtNPointITS","fPtRelUncertainty1PtNPointITS",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNPointITSBins,binsNPointITS); fHistList->Add(fPtRelUncertainty1PtNPointITS); fPtRelUncertainty1PtITSClusterMap = new TH3F("fPtRelUncertainty1PtITSClusterMap","fPtRelUncertainty1PtITSClusterMap",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNITSClusterMapBins,binsITSClusterMap); fHistList->Add(fPtRelUncertainty1PtITSClusterMap); fPtRelUncertainty1PtChi2 = new TH3F("fPtRelUncertainty1PtChi2","fPtRelUncertainty1PtChi2",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNChi2PerClusBins,binsChi2PerClus); fHistList->Add(fPtRelUncertainty1PtChi2); fPtRelUncertainty1PtChi2Iter1 = new TH3F("fPtRelUncertainty1PtChi2Iter1","fPtRelUncertainty1PtChi2Iter1",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNChi2PerClusBins,binsChi2PerClus); fHistList->Add(fPtRelUncertainty1PtChi2Iter1); fPtRelUncertainty1PtPhi = new TH3F("fPtRelUncertainty1PtPhi","fPtRelUncertainty1PtPhi",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNPhiBins,binsPhi); fHistList->Add(fPtRelUncertainty1PtPhi); fPtChi2PerClusterTPC = new TH2F("fPtChi2PerClusterTPC","fPtChi2PerClusterTPC",fgkNPtBins,binsPt,fgkNChi2PerClusBins,binsChi2PerClus); fHistList->Add(fPtChi2PerClusterTPC); fPtChi2PerClusterTPCIter1 = new TH2F("fPtChi2PerClusterTPCIter1","fPtChi2PerClusterTPCIter1",fgkNPtBins,binsPt,fgkNChi2PerClusBins,binsChi2PerClus); fHistList->Add(fPtChi2PerClusterTPCIter1); fPtNCrossedRows = new TH2F("fPtNCrossedRows","fPtNCrossedRows",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fPtNCrossedRows); fPtNCrossedRowsPhi = new TH3F("fPtNCrossedRowsPhi","fPtNCrossedRowsPhi",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNPhiBins,binsPhi); fHistList->Add(fPtNCrossedRowsPhi); fPtNCrossedRowsNClusFPhi = new TH3F("fPtNCrossedRowsNClusFPhi","fPtNCrossedRowsNClusFPhi",fgkNPtBins,binsPt,fgkNCrossedRowsNClusFBins,binsNCrossedRowsNClusF,fgkNPhiBins,binsPhi); fHistList->Add(fPtNCrossedRowsNClusFPhi); fPtNCrRNCrRNClusF = new TH3F("fPtNCrRNCrRNClusF","fPtNCrRNCrRNClusF",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNCrossedRowsNClusFBins,binsNCrossedRowsNClusF); fHistList->Add(fPtNCrRNCrRNClusF); fPtNCrossedRowsFit = new TH2F("fPtNCrossedRowsFit","fPtNCrossedRowsFit",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fPtNCrossedRowsFit); fPtNCrossedRowsFitPhi = new TH3F("fPtNCrossedRowsFitPhi","fPtNCrossedRowsFitPhi",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNPhiBins,binsPhi); fHistList->Add(fPtNCrossedRowsFitPhi); fPtNCrossedRowsNClusFFitPhi = new TH3F("fPtNCrossedRowsNClusFFitPhi","fPtNCrossedRowsNClusFFitPhi",fgkNPtBins,binsPt,fgkNCrossedRowsNClusFBins,binsNCrossedRowsNClusF,fgkNPhiBins,binsPhi); fHistList->Add(fPtNCrossedRowsNClusFFitPhi); fNCrossedRowsNCrossedRowsFit = new TH2F("fNCrossedRowsNCrossedRowsFit","fNCrossedRowsNCrossedRowsFit",fgkNNClustersTPCBins,binsNClustersTPC,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fNCrossedRowsNCrossedRowsFit); fNClustersNCrossedRows = new TH2F("fNClustersNCrossedRows","fNClustersNCrossedRows",fgkNNClustersTPCBins,binsNClustersTPC,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fNClustersNCrossedRows); fNClustersNCrossedRowsFit = new TH2F("fNClustersNCrossedRowsFit","fNClustersNCrossedRowsFit",fgkNNClustersTPCBins,binsNClustersTPC,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fNClustersNCrossedRowsFit); fPtNClustersNClustersFitMap = new TH3F("fPtNClustersNClustersFitMap","fPtNClustersNClustersFitMap;p_{T};N_{cls};N_{cls}^{fit map}",fgkNPtBins,binsPt,fgkNNClustersTPCBins,binsNClustersTPC,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fPtNClustersNClustersFitMap); fPtRelUncertainty1PtNCrossedRows = new TH3F("fPtRelUncertainty1PtNCrossedRows","fPtRelUncertainty1PtNCrossedRows",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fPtRelUncertainty1PtNCrossedRows); fPtRelUncertainty1PtNCrossedRowsFit = new TH3F("fPtRelUncertainty1PtNCrossedRowsFit","fPtRelUncertainty1PtNCrossedRowsFit",fgkNPtBins,binsPt,fgkNRel1PtUncertaintyBins,binsRel1PtUncertainty,fgkNNClustersTPCBins,binsNClustersTPC); fHistList->Add(fPtRelUncertainty1PtNCrossedRowsFit); fPtChi2Gold = new TH2F("fPtChi2Gold","fPtChi2Gold",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C); fHistList->Add(fPtChi2Gold); fPtChi2GGC = new TH2F("fPtChi2GGC","fPtChi2GGC",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C); fHistList->Add(fPtChi2GGC); fPtChi2GoldPhi = new TH3F("fPtChi2GoldPhi","fPtChi2GoldPhi",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C,fgkNPhiBins,binsPhi); fHistList->Add(fPtChi2GoldPhi); fPtChi2GGCPhi = new TH3F("fPtChi2GGCPhi","fPtChi2GGCPhi",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C,fgkNPhiBins,binsPhi); fHistList->Add(fPtChi2GGCPhi); fChi2GoldChi2GGC = new TH2F("fChi2GoldChi2GGC","fChi2GoldChi2GGC;#chi^{2}_{gold};#chi^{2}_{ggc}",fgkNChi2CBins,binsChi2C,fgkNChi2CBins,binsChi2C); fHistList->Add(fChi2GoldChi2GGC); fPtChi2ITSPhi = new TH3F("fPtChi2ITSPhi","fPtChi2ITSPhi;p_{T};#chi^{2}_{ITS};#varphi",fgkNPtBins,binsPt,fgkNChi2CBins,binsChi2C,fgkNPhiBins,binsPhi); fHistList->Add(fPtChi2ITSPhi); fPtSigmaY2 = new TH2F("fPtSigmaY2","fPtSigmaY2",fgkN1PtBins,bins1Pt,fgkNSigmaY2Bins,binsSigmaY2); fHistList->Add(fPtSigmaY2); fPtSigmaZ2 = new TH2F("fPtSigmaZ2","fPtSigmaZ2",fgkN1PtBins,bins1Pt,fgkNSigmaZ2Bins,binsSigmaZ2); fHistList->Add(fPtSigmaZ2); fPtSigmaSnp2 = new TH2F("fPtSigmaSnp2","fPtSigmaSnp2",fgkN1PtBins,bins1Pt,fgkNSigmaSnp2Bins,binsSigmaSnp2); fHistList->Add(fPtSigmaSnp2); fPtSigmaTgl2 = new TH2F("fPtSigmaTgl2","fPtSigmaTgl2",fgkN1PtBins,bins1Pt,fgkNSigmaTgl2Bins,binsSigmaTgl2); fHistList->Add(fPtSigmaTgl2); fPtSigma1Pt2 = new TH2F("fPtSigma1Pt2","fPtSigma1Pt2",fgkN1PtBins,bins1Pt,fgkNSigma1Pt2Bins,binsSigma1Pt2); fHistList->Add(fPtSigma1Pt2); fProfPtSigmaY2 = new TProfile("fProfPtSigmaY2","fProfPtSigmaY2",fgkN1PtBins,bins1Pt); fHistList->Add(fProfPtSigmaY2); fProfPtSigmaZ2 = new TProfile("fProfPtSigmaZ2","fProfPtSigmaZ2",fgkN1PtBins,bins1Pt); fHistList->Add(fProfPtSigmaZ2); fProfPtSigmaSnp2 = new TProfile("fProfPtSigmaSnp2","fProfPtSigmaSnp2",fgkN1PtBins,bins1Pt); fHistList->Add(fProfPtSigmaSnp2); fProfPtSigmaTgl2 = new TProfile("fProfPtSigmaTgl2","fProfPtSigmaTgl2",fgkN1PtBins,bins1Pt); fHistList->Add(fProfPtSigmaTgl2); fProfPtSigma1Pt2 = new TProfile("fProfPtSigma1Pt2","fProfPtSigma1Pt2",fgkN1PtBins,bins1Pt); fHistList->Add(fProfPtSigma1Pt2); fProfPtSigma1Pt = new TProfile("fProfPtSigma1Pt","fProfPtSigma1Pt;p_{T};#sigma(1/p_{T})",fgkNPtBins,binsPt); fHistList->Add(fProfPtSigma1Pt); fProfPtPtSigma1Pt = new TProfile("fProfPtPtSigma1Pt","fProfPtPtSigma1Pt;p_{T};p_{T}#sigma(1/p_{T})",fgkNPtBins,binsPt); fHistList->Add(fProfPtPtSigma1Pt); TH1::AddDirectory(oldStatus); PostData(1, fHistList); if(binsPhi) delete [] binsPhi; if(binsPt) delete [] binsPt; if(binsNClustersTPC) delete [] binsNClustersTPC; if(binsDCA2D) delete [] binsDCA2D; if(binsDCAZ) delete [] binsDCAZ; if(binsNPointITS) delete [] binsNPointITS; if(binsITSClusterMap) delete [] binsITSClusterMap; if(binsNSigmaToVertex) delete [] binsNSigmaToVertex; if(binsChi2C) delete [] binsChi2C; if(binsEta) delete [] binsEta; if(binsRel1PtUncertainty) delete [] binsRel1PtUncertainty; if(binsUncertainty1Pt) delete [] binsUncertainty1Pt; if(binsChi2PerClus) delete [] binsChi2PerClus; if(binsChi2PerClus) delete [] binsNCrossedRowsNClusF; if(bins1Pt) delete [] bins1Pt; if(binsSigmaY2) delete [] binsSigmaY2; if(binsSigmaZ2) delete [] binsSigmaZ2; if(binsSigmaSnp2) delete [] binsSigmaSnp2; if(binsSigmaTgl2) delete [] binsSigmaTgl2; if(binsSigma1Pt2) delete [] binsSigma1Pt2; } //________________________________________________________________________ Bool_t AliPWG4HighPtTrackQA::SelectEvent() { // // Decide if event should be selected for analysis // // Checks following requirements: // - fEvent available // - trigger info from AliPhysicsSelection // - MCevent available // - number of reconstructed tracks > 1 // - primary vertex reconstructed // - z-vertex < 10 cm // - centrality in case of PbPb Bool_t selectEvent = kTRUE; //fEvent object available? if (!fEvent) { AliDebug(2,Form("ERROR: fInputEvent not available\n")); fNEventReject->Fill("noAliVEvent",1); selectEvent = kFALSE; return selectEvent; } //Check if number of reconstructed tracks is larger than 1 if(!fEvent->GetNumberOfTracks() || fEvent->GetNumberOfTracks()<2) { fNEventReject->Fill("NTracks<2",1); selectEvent = kFALSE; return selectEvent; } //Check if vertex is reconstructed if(fDataType==kESD&&dynamic_cast(fEvent)) { fVtx = ((AliESDEvent*)fEvent)->GetPrimaryVertexTracks(); if (!fVtx || !fVtx->GetStatus()) fVtx = ((AliESDEvent*)fEvent)->GetPrimaryVertexSPD(); if(!fVtx) { fNEventReject->Fill("noVTX",1); selectEvent = kFALSE; return selectEvent; } if(!fVtx->GetStatus()) { fNEventReject->Fill("VtxStatus",1); selectEvent = kFALSE; return selectEvent; } // Need vertex cut if(fVtx->GetNContributors()<2) { fNEventReject->Fill("NCont<2",1); selectEvent = kFALSE; return selectEvent; } //Check if z-vertex < 10 cm double primVtx[3]; fVtx->GetXYZ(primVtx); if(TMath::Sqrt(primVtx[0]*primVtx[0] + primVtx[1]*primVtx[1])>1. || TMath::Abs(primVtx[2]>10.)){ fNEventReject->Fill("ZVTX>10",1); selectEvent = kFALSE; return selectEvent; } } else if(fDataType==kAOD&&dynamic_cast(fEvent)) { fVtxAOD = ((AliAODEvent*)fEvent)->GetPrimaryVertex(); if(!fVtxAOD) { fNEventReject->Fill("noVTX",1); selectEvent = kFALSE; return selectEvent; } // Need vertex cut if(fVtxAOD->GetNContributors()<2) { fNEventReject->Fill("NCont<2",1); selectEvent = kFALSE; return selectEvent; } //Check if z-vertex < 10 cm double primVtx[3]; fVtxAOD->GetXYZ(primVtx); if(TMath::Sqrt(primVtx[0]*primVtx[0] + primVtx[1]*primVtx[1])>1. || TMath::Abs(primVtx[2]>10.)){ fNEventReject->Fill("ZVTX>10",1); selectEvent = kFALSE; return selectEvent; } } //Centrality selection should only be done in case of PbPb if(IsPbPb()) { Float_t cent = 0.; if(fCentClass!=CalculateCentrality(fEvent) && fCentClass!=10) { fNEventReject->Fill("cent",1); selectEvent = kFALSE; return selectEvent; } else { if(fDataType==kESD) { if(dynamic_cast(fEvent)->GetCentrality()) { cent = dynamic_cast(fEvent)->GetCentrality()->GetCentralityPercentile("V0M"); } } else if(fDataType==kAOD) { if(((AliVAODHeader*)dynamic_cast(fEvent)->GetHeader())->GetCentrality()) cent = ((AliVAODHeader*)dynamic_cast(fEvent)->GetHeader())->GetCentrality(); } if(cent>90.) { fNEventReject->Fill("cent>90",1); selectEvent = kFALSE; return selectEvent; } fh1Centrality->Fill(cent); } } return selectEvent; } //________________________________________________________________________ Int_t AliPWG4HighPtTrackQA::CalculateCentrality(AliVEvent *ev) { // // Get centrality from ESD or AOD // if(fDataType==kESD) return CalculateCentrality(dynamic_cast(ev)); else if(fDataType==kAOD) return CalculateCentrality(dynamic_cast(ev)); else return 5; } //________________________________________________________________________ Int_t AliPWG4HighPtTrackQA::CalculateCentrality(AliESDEvent *esd) { // // Get centrality from ESD // Float_t cent = -1; if(esd){ if(esd->GetCentrality()){ cent = esd->GetCentrality()->GetCentralityPercentile("V0M"); if(fDebug>3) printf("centrality: %f\n",cent); } } return GetCentralityClass(cent); } //________________________________________________________________________ Int_t AliPWG4HighPtTrackQA::CalculateCentrality(const AliAODEvent *aod) { // // Get centrality from AOD // if(!aod) return 5; Float_t cent = ((AliVAODHeader*)aod->GetHeader())->GetCentrality(); if(fDebug>3) printf("centrality: %f\n",cent); return GetCentralityClass(cent); } //________________________________________________________________________ Int_t AliPWG4HighPtTrackQA::GetCentralityClass(Float_t cent) const { // // Get centrality class // if(cent<0) return 5; // OB - cent sometimes negative if(cent>80) return 4; if(cent>50) return 3; if(cent>30) return 2; if(cent>10) return 1; return 0; } //________________________________________________________________________ void AliPWG4HighPtTrackQA::UserExec(Option_t *) { // Main loop // Called for each event AliDebug(2,Form(">> AliPWG4HighPtTrackQA::UserExec \n")); fEvent = InputEvent(); fESD = dynamic_cast(InputEvent()); // All events without selection fNEventAll->Fill(0.); if(!SelectEvent()) { // Post output data PostData(1, fHistList); return; } //Need to keep track of selected events fNEventSel->Fill(0.); fVariables = new TArrayF(fNVariables); if(fDataType==kESD) DoAnalysisESD(); if(fDataType==kAOD) DoAnalysisAOD(); //Delete old fVariables if(fVariables) delete fVariables; // Post output data PostData(1, fHistList); } //________________________________________________________________________ void AliPWG4HighPtTrackQA::DoAnalysisESD() { // // Run analysis on ESD // if(!fESD) { PostData(1, fHistList); return; } // ---- Get MC Header information (for MC productions in pThard bins) ---- Double_t ptHard = 0.; Double_t nTrials = 1; // trials for MC trigger weight for real data AliMCEventHandler *eventHandlerMC = dynamic_cast (AliAnalysisManager::GetAnalysisManager()->GetMCtruthEventHandler()); if (eventHandlerMC) { if(eventHandlerMC->MCEvent()){ AliGenPythiaEventHeader* pythiaGenHeader = GetPythiaEventHeader(eventHandlerMC->MCEvent()); if(pythiaGenHeader){ nTrials = pythiaGenHeader->Trials(); ptHard = pythiaGenHeader->GetPtHard(); fh1PtHard->Fill(ptHard); fh1PtHardTrials->Fill(ptHard,nTrials); fh1Trials->Fill("#sum{ntrials}",fAvgTrials); } } } Int_t nTracks = fESD->GetNumberOfTracks(); AliDebug(2,Form("nTracks ESD%d", nTracks)); /* Variables to be put in fVariables 0: pt 1: phi 2: eta 3: dca2D 4: dcaZ 5: nClustersTPC 6: nPointITS 7: chi2C 8: nSigmaToVertex 9: trackLengthTPC 10: chi2PerClusterTPC 11: #crossed rows 12: (#crossed rows)/(#findable clusters) 13: SigmaY2 14: SigmaZ2 15: SigmaSnp2 16: SigmaTgl2 17: Sigma1Pt2 18: NClustersTPCIter1 19: Chi2TPCIter1 20: nClustersTPCShared 21: Golden Chi2 - global vs TPC constrained 22: Chi2 between global and global constrained 23: #crossed rows from fit map 24: (#crossed rows)/(#findable clusters) from fit map 25: chi2ITS */ for (Int_t iTrack = 0; iTrack < nTracks; iTrack++) { fh1NTracksAll->Fill(0.); //Get track for analysis AliESDtrack *track = 0x0; AliESDtrack *esdtrack = fESD->GetTrack(iTrack); if(!esdtrack) { fh1NTracksReject->Fill("noESDtrack",1); continue; } AliESDtrack *origtrack = new AliESDtrack(*esdtrack); if(!origtrack) continue; if(fTrackType==4) { if (!(fTrackCuts->AcceptTrack(esdtrack))) { fh1NTracksReject->Fill("trackCuts",1); if(origtrack) delete origtrack; continue; } } if(fTrackType==1) track = AliESDtrackCuts::GetTPCOnlyTrack(fESD,esdtrack->GetID()); else if(fTrackType==2 || fTrackType==4) { track = AliESDtrackCuts::GetTPCOnlyTrack(const_cast(fESD),esdtrack->GetID()); if(!track) { fh1NTracksReject->Fill("noTPConly",1); if(origtrack) delete origtrack; continue; } AliExternalTrackParam exParam; Bool_t relate = track->RelateToVertexTPC(fVtx,fESD->GetMagneticField(),kVeryBig,&exParam); if( !relate ) { fh1NTracksReject->Fill("relate",1); if(track) delete track; if(origtrack) delete origtrack; continue; } track->Set(exParam.GetX(),exParam.GetAlpha(),exParam.GetParameter(),exParam.GetCovariance()); } else if(fTrackType==5 || fTrackType==6) { if(fTrackCuts->AcceptTrack(esdtrack)) { if(origtrack) delete origtrack; continue; } else { if( !(fTrackCutsITSLoose->AcceptTrack(esdtrack)) && fTrackCutsTPConly->AcceptTrack(esdtrack) ) { if(fTrackType==5) { //use TPConly constrained track track = AliESDtrackCuts::GetTPCOnlyTrack(fESD,esdtrack->GetID()); if(!track) { fh1NTracksReject->Fill("noTPConly",1); if(origtrack) delete origtrack; continue; } AliExternalTrackParam exParam; Bool_t relate = track->RelateToVertexTPC(fVtx,fESD->GetMagneticField(),kVeryBig,&exParam); if( !relate ) { fh1NTracksReject->Fill("relate",1); if(track) delete track; if(origtrack) delete origtrack; continue; } track->Set(exParam.GetX(),exParam.GetAlpha(),exParam.GetParameter(),exParam.GetCovariance()); } else if(fTrackType==6) { //use global constrained track track = new AliESDtrack(*esdtrack); track->Set(esdtrack->GetConstrainedParam()->GetX(),esdtrack->GetConstrainedParam()->GetAlpha(),esdtrack->GetConstrainedParam()->GetParameter(),esdtrack->GetConstrainedParam()->GetCovariance()); } } } } else if(fTrackType==7) { //use global constrained track track = new AliESDtrack(*esdtrack); } else track = esdtrack; if(!track) { if(origtrack) delete origtrack; continue; } if(fTrackType==2 || fTrackType==4 || fTrackType==5) { //Cut on chi2 of constrained fit if(track->GetConstrainedChi2TPC() > fSigmaConstrainedMax*fSigmaConstrainedMax && fSigmaConstrainedMax>0.) { fh1NTracksReject->Fill("chi2",1); if(track) delete track; if(origtrack) delete origtrack; continue; } } fPtAll->Fill(track->Pt()); if (!(fTrackCuts->AcceptTrack(track)) && fTrackType!=4 && fTrackType!=5 && fTrackType!=6) { fh1NTracksReject->Fill("trackCuts",1); if(fTrackType==1 || fTrackType==2 || fTrackType==7) { if(track) delete track; } if(origtrack) delete origtrack; continue; } if(fTrackType==7) { if(fTrackCutsITSLoose ) { if(fTrackCutsITSLoose->AcceptTrack(track) ) { if(track) delete track; if(origtrack) delete origtrack; continue; } } if(esdtrack->GetConstrainedParam()) track->Set(esdtrack->GetConstrainedParam()->GetX(),esdtrack->GetConstrainedParam()->GetAlpha(),esdtrack->GetConstrainedParam()->GetParameter(),esdtrack->GetConstrainedParam()->GetCovariance()); } if(!track) { if(fTrackType==1 || fTrackType==2 || fTrackType==4 || fTrackType==5 || fTrackType==6 || fTrackType==7) { if(track) delete track; } if(origtrack) delete origtrack; continue; } fh1NTracksSel->Fill(0.); fVariables->Reset(0.); fVariables->SetAt(track->Pt(),0); fVariables->SetAt(track->Phi(),1); fVariables->SetAt(track->Eta(),2); Float_t dca2D = 0.; Float_t dcaz = 0.; if(fTrackType==1 || fTrackType==2 || fTrackType==4) { track->GetImpactParametersTPC(dca2D,dcaz); //TPConly } else track->GetImpactParameters(dca2D,dcaz); //Global fVariables->SetAt(dca2D,3); fVariables->SetAt(dcaz,4); fVariables->SetAt((float)track->GetTPCNcls(),5); Int_t nPointITS = 0; fITSClusterMap = track->GetITSClusterMap(); UChar_t itsMap = track->GetITSClusterMap(); for (Int_t i=0; i < 6; i++) { if (itsMap & (1 << i)) nPointITS ++; } fVariables->SetAt((float)nPointITS,6); Float_t chi2C = (float)track->GetConstrainedChi2(); if(fTrackType==1 || fTrackType==2 || fTrackType==4) chi2C = (float)track->GetConstrainedChi2TPC(); fVariables->SetAt(chi2C,7); fVariables->SetAt(fTrackCuts->GetSigmaToVertex(track),8);// Calculates the number of sigma to the vertex for a track. fVariables->SetAt(GetTrackLengthTPC(track),9); if(fVariables->At(5)>0.) fVariables->SetAt(track->GetTPCchi2()/fVariables->At(5),10); //fVariables->SetAt(track->GetTPCClusterInfo(2,1),11); //#crossed rows fVariables->SetAt(track->GetTPCCrossedRows(),11); //#crossed rows Float_t crossedRowsTPCNClsF = 1.;//track->GetTPCClusterInfo(2,0); if(track->GetTPCNclsF()>0.) crossedRowsTPCNClsF = fVariables->At(11)/track->GetTPCNclsF(); fVariables->SetAt(crossedRowsTPCNClsF,12);//(#crossed rows)/(#findable clusters) fVariables->SetAt(track->GetSigmaY2(),13); fVariables->SetAt(track->GetSigmaZ2(),14); fVariables->SetAt(track->GetSigmaSnp2(),15); fVariables->SetAt(track->GetSigmaTgl2(),16); fVariables->SetAt(track->GetSigma1Pt2(),17); fVariables->SetAt(track->GetTPCNclsIter1(),18); fVariables->SetAt(track->GetTPCchi2Iter1(),19); fVariables->SetAt(track->GetTPCnclsS(),20); Float_t chi2Gold = origtrack->GetChi2TPCConstrainedVsGlobal(fVtx);//GetGoldenChi2(origtrack); Float_t chi2GGC = GetGGCChi2(origtrack); fVariables->SetAt(chi2Gold,21); fVariables->SetAt(chi2GGC,22); fVariables->SetAt(GetTPCClusterInfoFitMap(track,2,1),23); Float_t crossedRowsTPCNClsFFit = 1.; if(track->GetTPCNclsF()>0.) crossedRowsTPCNClsFFit = fVariables->At(23)/track->GetTPCNclsF(); fVariables->SetAt(crossedRowsTPCNClsFFit,24); fVariables->SetAt(track->GetITSchi2(),25); TBits fitmap = track->GetTPCFitMap(); fPtNClustersNClustersFitMap->Fill(track->Pt(),track->GetTPCNcls(),(float)fitmap.CountBits()); FillHistograms(); // int mult = fTrackCuts->CountAcceptedTracks(fESD); if(fTrackType==1 || fTrackType==2 || fTrackType==4 || fTrackType==5 || fTrackType==6 || fTrackType==7) { if(track) delete track; } if(origtrack) delete origtrack; }//track loop } //________________________________________________________________________ void AliPWG4HighPtTrackQA::DoAnalysisAOD() { // // Do QA on AOD input // AliAODEvent *aod = dynamic_cast(fEvent); if(!aod) return; AliExternalTrackParam exParam; for (Int_t iTrack = 0; iTrack < fEvent->GetNumberOfTracks(); iTrack++) { AliAODTrack *aodtrack = dynamic_cast(aod->GetTrack(iTrack)); if(!aodtrack) AliFatal("Not a standard AOD"); if( !aodtrack->TestFilterMask(fFilterMask) ) { fh1NTracksReject->Fill("noHybridTrack",1); continue; } if(!fIncludeNoITS) { if ((aodtrack->GetStatus()&AliESDtrack::kITSrefit)==0) { fh1NTracksReject->Fill("noITSrefit",1); continue; } } fVariables->Reset(0.); fVariables->SetAt(aodtrack->Pt(),0); fVariables->SetAt(aodtrack->Phi(),1); fVariables->SetAt(aodtrack->Eta(),2); Double_t dca[2] = {0.,0.}; if(aodtrack->IsGlobalConstrained()) { dca[0] = aodtrack->DCA(); dca[1] = aodtrack->ZAtDCA(); } else { Double_t v[3] = {0}; Double_t pos[3] = {0}; fVtxAOD->GetXYZ(v); aodtrack->GetXYZ(pos); dca[0] = pos[0] - v[0]; dca[1] = pos[1] - v[1]; } fVariables->SetAt(dca[0],3); fVariables->SetAt(dca[1],4); fVariables->SetAt((float)aodtrack->GetTPCNcls(),5); fVariables->SetAt((float)aodtrack->GetITSNcls(),6); fVariables->SetAt(0.,7); //ConstrainedChi2TPC -> not available in AOD fVariables->SetAt(0.,8); fVariables->SetAt(GetTrackLengthTPC(aodtrack),9); Float_t chi2pndf = aodtrack->Chi2perNDF(); //if(fVariables->At(5)>0.) chi2pndf = aodtrack->GetTPCchi2()/fVariables->At(5); fVariables->SetAt(chi2pndf,10); fVariables->SetAt(GetTPCClusterInfo(aodtrack,2,1,0,159,kFALSE),11); Float_t crossedRowsTPCNClsF = 0.; if(aodtrack->GetTPCNclsF()>0.) crossedRowsTPCNClsF = fVariables->At(11)/aodtrack->GetTPCNclsF(); fVariables->SetAt(crossedRowsTPCNClsF,12); //get covariance matrix Double_t cov[21] = {0,}; aodtrack->GetCovMatrix(cov); Double_t pxpypz[3] = {0,}; aodtrack->PxPyPz(pxpypz); Double_t xyz[3] = {0,}; aodtrack->GetXYZ(xyz); Short_t sign = aodtrack->Charge(); exParam.Set(xyz,pxpypz,cov,sign); fVariables->SetAt(exParam.GetSigmaY2(),13); fVariables->SetAt(exParam.GetSigmaZ2(),14); fVariables->SetAt(exParam.GetSigmaSnp2(),15); fVariables->SetAt(exParam.GetSigmaTgl2(),16); fVariables->SetAt(exParam.GetSigma1Pt2(),17); fVariables->SetAt(0.,18); //NClustersTPCIter1 fVariables->SetAt(0.,19); //Chi2TPCIter1 TBits sharedClusterMap = aodtrack->GetTPCSharedMap(); fVariables->SetAt(sharedClusterMap.CountBits(),20); fVariables->SetAt(0.,21); //not available in AOD golden chi2 fVariables->SetAt(0.,22); //not available in AOD Chi2 between global and global constrained fVariables->SetAt(GetTPCClusterInfo(aodtrack,2,1,0,159,kTRUE),23); //not available in AOD #crossed rows from fit map Float_t crossedRowsTPCNClsFFit = 0.; if(aodtrack->GetTPCNclsF()>0.) crossedRowsTPCNClsFFit = fVariables->At(23)/aodtrack->GetTPCNclsF(); fVariables->SetAt(crossedRowsTPCNClsFFit,24); //(#crossed rows)/(#findable clusters) from fit map fVariables->SetAt(0.,25); fPtAll->Fill(fVariables->At(0)); FillHistograms(); } } //________________________________________________________________________ void AliPWG4HighPtTrackQA::FillHistograms() { // // Fill all QA histograms // fPtSel->Fill(fVariables->At(0)); fPtPhi->Fill(fVariables->At(0),fVariables->At(1)); fPtEta->Fill(fVariables->At(0),fVariables->At(2)); fPtEtaPhi->Fill(fVariables->At(0),fVariables->At(2),fVariables->At(1)); fPtDCA2D->Fill(fVariables->At(0),fVariables->At(3)); fPtDCAZ->Fill(fVariables->At(0),fVariables->At(4)); fPtNClustersTPC->Fill(fVariables->At(0),fVariables->At(5)); fPtNClustersTPCPhi->Fill(fVariables->At(1),fVariables->At(5)); fPtNPointITS->Fill(fVariables->At(0),fVariables->At(6)); fPtNPointITSPhi->Fill(fVariables->At(0),fVariables->At(6),fVariables->At(1)); fPtNClustersTPCIter1->Fill(fVariables->At(0),fVariables->At(18)); fPtNClustersTPCIter1Phi->Fill(fVariables->At(0),fVariables->At(18),fVariables->At(1)); fPtNClustersTPCShared->Fill(fVariables->At(0),fVariables->At(20)); if(fVariables->At(5)>0.) fPtNClustersTPCSharedFrac->Fill(fVariables->At(0),fVariables->At(20)/fVariables->At(5)); if(fVariables->At(18)>0.) fPtChi2PerClusterTPCIter1->Fill(fVariables->At(0),fVariables->At(19)/fVariables->At(18)); fPtChi2C->Fill(fVariables->At(0),fVariables->At(7)); fPtNSigmaToVertex->Fill(fVariables->At(0),fVariables->At(8)); fPtRelUncertainty1Pt->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17))); fPtRelUncertainty1PtNClus->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(5)); fPtRelUncertainty1PtNClusIter1->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(18)); fPtRelUncertainty1PtNPointITS->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(6)); fPtRelUncertainty1PtITSClusterMap->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),(int)fITSClusterMap); fPtRelUncertainty1PtChi2->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(10)); if(fVariables->At(18)>0.) fPtRelUncertainty1PtChi2Iter1->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(19)/fVariables->At(18)); fPtRelUncertainty1PtPhi->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(1)); fPtSigmaY2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(13))); fPtSigmaZ2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(14))); fPtSigmaSnp2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(15))); fPtSigmaTgl2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(16))); fPtSigma1Pt2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(17))); fProfPtSigmaY2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(13))); fProfPtSigmaZ2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(14))); fProfPtSigmaSnp2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(15))); fProfPtSigmaTgl2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(16))); fProfPtSigma1Pt2->Fill(1./fVariables->At(0),TMath::Sqrt(fVariables->At(17))); fProfPtSigma1Pt->Fill(fVariables->At(0),TMath::Sqrt(fVariables->At(17))); fProfPtPtSigma1Pt->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17))); fPtChi2PerClusterTPC->Fill(fVariables->At(0),fVariables->At(10)); fPtNCrossedRows->Fill(fVariables->At(0),fVariables->At(11)); fPtNCrossedRowsPhi->Fill(fVariables->At(0),fVariables->At(11),fVariables->At(1)); fPtNCrossedRowsNClusFPhi->Fill(fVariables->At(0),fVariables->At(12),fVariables->At(1)); fPtNCrRNCrRNClusF->Fill(fVariables->At(0),fVariables->At(11),fVariables->At(12)); fPtChi2Gold->Fill(fVariables->At(0),fVariables->At(21)); fPtChi2GGC->Fill(fVariables->At(0),fVariables->At(22)); fPtChi2GoldPhi->Fill(fVariables->At(0),fVariables->At(21),fVariables->At(1)); fPtChi2GGCPhi->Fill(fVariables->At(0),fVariables->At(22),fVariables->At(1)); fChi2GoldChi2GGC->Fill(fVariables->At(21),fVariables->At(22)); fPtNCrossedRowsFit->Fill(fVariables->At(0),fVariables->At(23)); fPtNCrossedRowsFitPhi->Fill(fVariables->At(0),fVariables->At(23),fVariables->At(1)); fPtNCrossedRowsNClusFFitPhi->Fill(fVariables->At(0),fVariables->At(24),fVariables->At(1)); fNCrossedRowsNCrossedRowsFit->Fill(fVariables->At(11),fVariables->At(23)); fNClustersNCrossedRows->Fill(fVariables->At(5),fVariables->At(11)); fNClustersNCrossedRowsFit->Fill(fVariables->At(5),fVariables->At(23)); fPtRelUncertainty1PtNCrossedRows->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(11)); fPtRelUncertainty1PtNCrossedRowsFit->Fill(fVariables->At(0),fVariables->At(0)*TMath::Sqrt(fVariables->At(17)),fVariables->At(23)); if(fVariables->At(6)>0.) fPtChi2ITSPhi->Fill(fVariables->At(0),fVariables->At(25)/fVariables->At(6),fVariables->At(1)); } //________________________________________________________________________ Bool_t AliPWG4HighPtTrackQA::PythiaInfoFromFile(const char* currFile,Float_t &fXsec,Float_t &fTrials) { // // get the cross section and the trails either from pyxsec.root or from pysec_hists.root // This is to called in Notify and should provide the path to the AOD/ESD file // Copied from AliAnalysisTaskJetSpectrum2 // TString file(currFile); fXsec = 0; fTrials = 1; if(file.Contains("root_archive.zip#")){ Ssiz_t pos1 = file.Index("root_archive",12,TString::kExact); Ssiz_t pos = file.Index("#",1,pos1,TString::kExact); file.Replace(pos+1,20,""); } else { // not an archive take the basename.... file.ReplaceAll(gSystem->BaseName(file.Data()),""); } TFile *fxsec = TFile::Open(Form("%s%s",file.Data(),"pyxsec.root")); // problem that we cannot really test the existance of a file in a archive so we have to lvie with open error message from root if(!fxsec){ // next trial fetch the histgram file fxsec = TFile::Open(Form("%s%s",file.Data(),"pyxsec_hists.root")); if(!fxsec){ // not a severe condition but inciate that we have no information return kFALSE; } else{ // find the tlist we want to be independtent of the name so use the Tkey TKey* key = (TKey*)fxsec->GetListOfKeys()->At(0); if(!key){ fxsec->Close(); return kFALSE; } TList *list = dynamic_cast(key->ReadObj()); if(!list){ fxsec->Close(); return kFALSE; } fXsec = ((TProfile*)list->FindObject("h1Xsec"))->GetBinContent(1); fTrials = ((TH1F*)list->FindObject("h1Trials"))->GetBinContent(1); fxsec->Close(); } } // no tree pyxsec.root else { TTree *xtree = (TTree*)fxsec->Get("Xsection"); if(!xtree){ fxsec->Close(); return kFALSE; } UInt_t ntrials = 0; Double_t xsection = 0; xtree->SetBranchAddress("xsection",&xsection); xtree->SetBranchAddress("ntrials",&ntrials); xtree->GetEntry(0); fTrials = ntrials; fXsec = xsection; fxsec->Close(); } return kTRUE; } //________________________________________________________________________ Bool_t AliPWG4HighPtTrackQA::Notify() { // // Implemented Notify() to read the cross sections // and number of trials from pyxsec.root // Copied from AliAnalysisTaskJetSpectrum2 // TTree *tree = AliAnalysisManager::GetAnalysisManager()->GetTree(); Float_t xsection = 0; Float_t ftrials = 1; fAvgTrials = 1; if(tree){ TFile *curfile = tree->GetCurrentFile(); if (!curfile) { Error("Notify","No current file"); return kFALSE; } if(!fh1Xsec||!fh1Trials){ // Printf("%s%d No Histogram fh1Xsec",(char*)__FILE__,__LINE__); return kFALSE; } PythiaInfoFromFile(curfile->GetName(),xsection,ftrials); fh1Xsec->Fill("<#sigma>",xsection); // construct a poor man average trials Float_t nEntries = (Float_t)tree->GetTree()->GetEntries(); if(ftrials>=nEntries && nEntries>0.)fAvgTrials = ftrials/nEntries; } return kTRUE; } //________________________________________________________________________ AliGenPythiaEventHeader* AliPWG4HighPtTrackQA::GetPythiaEventHeader(const AliMCEvent *mcEvent) { if(!mcEvent)return 0; AliGenEventHeader* genHeader = mcEvent->GenEventHeader(); AliGenPythiaEventHeader* pythiaGenHeader = dynamic_cast(genHeader); if(!pythiaGenHeader){ // cocktail ?? AliGenCocktailEventHeader* genCocktailHeader = dynamic_cast(genHeader); if (!genCocktailHeader) { // AliWarningGeneral(Form(" %s:%d",(char*)__FILE__,__LINE__),"Unknown header type (not Pythia or Cocktail)"); // AliWarning(Form("%s %d: Unknown header type (not Pythia or Cocktail)",(char*)__FILE__,__LINE__)); return 0; } TList* headerList = genCocktailHeader->GetHeaders(); for (Int_t i=0; iGetEntries(); i++) { pythiaGenHeader = dynamic_cast(headerList->At(i)); if (pythiaGenHeader) break; } if(!pythiaGenHeader){ AliWarningGeneral(Form(" %s:%d",(char*)__FILE__,__LINE__),"Pythia event header not found"); return 0; } } return pythiaGenHeader; } //_______________________________________________________________________ Float_t AliPWG4HighPtTrackQA::GetTPCClusterInfo(const AliAODTrack *tr,Int_t nNeighbours/*=3*/, Int_t type/*=0*/, Int_t row0, Int_t row1, Bool_t useFitMap) const { //MV: copied from AliESDtrack since method is not available in AliAODTrack // // TPC cluster information // type 0: get fraction of found/findable clusters with neighbourhood definition // 1: findable clusters with neighbourhood definition // 2: found clusters // // 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. // TBits fTPCClusterMap = 0; if(useFitMap) fTPCClusterMap = tr->GetTPCFitMap(); else fTPCClusterMap = tr->GetTPCClusterMap(); if (type==2) return fTPCClusterMap.CountBits(); Int_t found=0; Int_t findable=0; Int_t last=-nNeighbours; for (Int_t i=row0; i0) fraction=(Float_t)found/(Float_t)findable; else fraction=0; return fraction; } return 0; // undefined type - default value } //_______________________________________________________________________ Float_t AliPWG4HighPtTrackQA::GetTPCClusterInfoFitMap(const AliESDtrack *tr,Int_t nNeighbours/*=3*/, Int_t type/*=0*/, Int_t row0, Int_t row1) const { // // TPC cluster information from fit map // type 0: get fraction of found/findable clusters with neighbourhood definition // 1: findable clusters with neighbourhood definition // 2: found clusters // // 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. // TBits fTPCFitMap = tr->GetTPCFitMap(); if (type==2) return fTPCFitMap.CountBits(); Int_t found=0; Int_t findable=0; Int_t last=-nNeighbours; for (Int_t i=row0; i0) fraction=(Float_t)found/(Float_t)findable; else fraction=0; return fraction; } return 0; // undefined type - default value } //_______________________________________________________________________ Int_t AliPWG4HighPtTrackQA::GetTrackLengthTPC(const AliESDtrack *track) const { // // returns distance between 1st and last hit in TPC // distance given in number of padrows // TBits fTPCClusterMap = track->GetTPCClusterMap(); int firstHit = 0; int lastHit = 0; for(int i=0; i<=159; i++) { if(fTPCClusterMap[i]>0) firstHit = i; } for(int i=159; i>=0; i--) { if(fTPCClusterMap[i]>0) lastHit = i; } Int_t trackLength = lastHit - firstHit; return trackLength; } //_______________________________________________________________________ Int_t AliPWG4HighPtTrackQA::GetTrackLengthTPC(const AliAODTrack *track) const { // // returns distance between 1st and last hit in TPC // distance given in number of padrows // TBits fTPCClusterMap = track->GetTPCClusterMap(); int firstHit = 0; int lastHit = 0; for(int i=0; i<=159; i++) { if(fTPCClusterMap[i]>0) firstHit = i; } for(int i=159; i>=0; i--) { if(fTPCClusterMap[i]>0) lastHit = i; } Int_t trackLength = lastHit - firstHit; return trackLength; } //_______________________________________________________________________ Float_t AliPWG4HighPtTrackQA::GetGoldenChi2(AliESDtrack *origtrack) { // // Return chi2 between global and TPC constrained track // track should be the global unconstrained track // Float_t chi2Gold = 0.; AliESDtrack *tpcTrack = 0x0; tpcTrack = AliESDtrackCuts::GetTPCOnlyTrack(fESD,origtrack->GetID()); if(tpcTrack) { AliExternalTrackParam exParam; Bool_t relate = tpcTrack->RelateToVertexTPC(fVtx,fESD->GetMagneticField(),kVeryBig,&exParam); if( relate ) { tpcTrack->Set(exParam.GetX(),exParam.GetAlpha(),exParam.GetParameter(),exParam.GetCovariance()); // Double_t pTPC[2],covTPC[3]; tpcTrack->PropagateToDCA(fVtx, fESD->GetMagneticField(), 10000, pTPC, covTPC); } tpcTrack->Propagate(origtrack->GetAlpha(), origtrack->GetX(), fESD->GetMagneticField()); chi2Gold = (Float_t)origtrack->GetPredictedChi2(tpcTrack); } if(tpcTrack) delete tpcTrack; return chi2Gold; } //_______________________________________________________________________ Float_t AliPWG4HighPtTrackQA::GetGGCChi2(AliESDtrack *origtrack) { // // Return chi2 between global and global constrained track // track should be the global unconstrained track // Float_t chi2GGC = 0.; AliESDtrack *esdtrackC = new AliESDtrack(*origtrack); if(esdtrackC) { if(origtrack->GetConstrainedParam()) { esdtrackC->Set(origtrack->GetConstrainedParam()->GetX(),origtrack->GetConstrainedParam()->GetAlpha(),origtrack->GetConstrainedParam()->GetParameter(),origtrack->GetConstrainedParam()->GetCovariance()); chi2GGC = (Float_t)origtrack->GetPredictedChi2(esdtrackC); } delete esdtrackC; } return chi2GGC; } //________________________________________________________________________ void AliPWG4HighPtTrackQA::Terminate(Option_t *) { // The Terminate() function is the last function to be called during // a query. It always runs on the client, it can be used to present // the results graphically or save the results to file. } #endif