/************************************************************************** * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * * * * Author: Yvonne Pachmayer <pachmay@physi.uni-heidelberg.de> * * 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. * **************************************************************************/ // // The task: // stores TPC PID quantities in a THnSparse // output can then be used for e.g. dEdx calibration // // Author: // Yvonne Pachmayer <pachmay@physi.uni-heidelberg.de> // #include "AliTPCcalibResidualPID.h" #include "TChain.h" #include "AliAnalysisManager.h" #include "AliESDEvent.h" #include "AliAODEvent.h" #include "AliMCEvent.h" #include "AliMCParticle.h" //#include "AliStack.h" #include "AliPID.h" #include "AliTPCcalibResidualPID.h" #include "AliESDtrack.h" #include "AliESDtrackCuts.h" #include "AliPIDResponse.h" #include "AliInputEventHandler.h" #include "AliESDInputHandler.h" #include "AliESDv0KineCuts.h" #include "AliESDv0.h" #include "AliCentrality.h" #include "THnSparse.h" #include "TH2D.h" #include "TCanvas.h" #include "TGraphErrors.h" #include "TMultiGraph.h" #include "TAxis.h" #include "TFile.h" #include "TSpline.h" #include "TStyle.h" #include "AliTPCdEdxInfo.h" #include "TString.h" #include "TFitResult.h" #include "TH1F.h" #include "TLegend.h" #include "TVirtualFitter.h" #include "TTree.h" using namespace std; ClassImp(AliTPCcalibResidualPID) Double_t AliTPCcalibResidualPID::fgCutGeo = 1.; Double_t AliTPCcalibResidualPID::fgCutNcr = 0.85; Double_t AliTPCcalibResidualPID::fgCutNcl = 0.7; //________________________________________________________________________ AliTPCcalibResidualPID::AliTPCcalibResidualPID() : AliAnalysisTaskSE(), fESD(0), fMC(0), fOutputContainer(0), fESDtrackCuts(0), fESDtrackCutsV0(0), fPIDResponse(0), fNumEtaCorrReqErrorsIssued(0), fNumMultCorrReqErrorsIssued(0), fUseTPCCutMIGeo(kFALSE), fUseMCinfo(kTRUE), fIsPbpOrpPb(kFALSE), fZvtxCutEvent(9999.0), fV0KineCuts(0x0), fCutOnProdRadiusForV0el(kTRUE), fNumTagsStored(0), fV0tags(0x0), fV0motherIndex(0x0), fV0motherPDG(0x0), fProduceAllPadTypes(0), fProduceGlobal(0), fProduceShortPads(0), fProduceMediumPads(0), fProduceLongPads(0), fProduceOroc(0), fHistPidQA(0), fHistPidQAshort(0), fHistPidQAmedium(0), fHistPidQAlong(0), fHistPidQAoroc(0), fProduceTPCSignalSparse(0), fCorrectdEdxEtaDependence(0), fCorrectdEdxMultiplicityDependence(0), fThnspTpc(0), fWriteAdditionalOutput(kFALSE), fQAList(0x0), fhInvMassGamma(0x0), fhInvMassK0s(0x0), fhInvMassLambda(0x0), fhInvMassAntiLambda(0x0), fhArmenterosAll(0x0), fhArmenterosGamma(0x0), fhArmenterosK0s(0x0), fhArmenterosLambda(0x0), fhArmenterosAntiLambda(0x0), fHistSharedClusQAV0Pi(0x0), fHistSharedClusQAV0Pr(0x0), fHistSharedClusQAV0El(0x0), fTreeV0El(0x0), fTreeV0Pi(0x0), fTreeV0Pr(0x0), fTree_dEdx_tr(0.), fTree_dEdx_nb(0.), fTree_dEdx_vs(0.), fTree_dEdxExpected_tr(0.), fTree_p_TPC_tr(0.), fTree_p_TPC_nb(0.), fTree_p_TPC_vs(0.), fTree_BtimesChargeOverPt_tr(0.), fTree_BtimesChargeOverPt_nb(0.), fTree_BtimesChargeOverPt_vs(0.), fTree_tanTheta_tr(0.), fTree_tanTheta_nb(0.), fTree_tanTheta_vs(0.), fTree_distance_nb(0.), fTree_distance_vs(0.) { // default Constructor /* fast compilation test gSystem->Load("libANALYSIS"); gSystem->Load("libANALYSISalice"); .L /lustre/alice/akalweit/train/trunk/util/statsQA/AliTPCcalibResidualPID.cxx++ */ } //________________________________________________________________________ AliTPCcalibResidualPID::AliTPCcalibResidualPID(const char *name) : AliAnalysisTaskSE(name), fESD(0), fMC(0), fOutputContainer(0), fESDtrackCuts(0), fESDtrackCutsV0(0), fPIDResponse(0), fNumEtaCorrReqErrorsIssued(0), fNumMultCorrReqErrorsIssued(0), fUseTPCCutMIGeo(kFALSE), fUseMCinfo(kTRUE), fIsPbpOrpPb(kFALSE), fZvtxCutEvent(9999.0), fV0KineCuts(0x0), fCutOnProdRadiusForV0el(kTRUE), fNumTagsStored(0), fV0tags(0x0), fV0motherIndex(0x0), fV0motherPDG(0x0), fProduceAllPadTypes(0), fProduceGlobal(0), fProduceShortPads(0), fProduceMediumPads(0), fProduceLongPads(0), fProduceOroc(0), fHistPidQA(0), fHistPidQAshort(0), fHistPidQAmedium(0), fHistPidQAlong(0), fHistPidQAoroc(0), fProduceTPCSignalSparse(0), fCorrectdEdxEtaDependence(0), fCorrectdEdxMultiplicityDependence(0), fThnspTpc(0), fWriteAdditionalOutput(kFALSE), fQAList(0x0), fhInvMassGamma(0x0), fhInvMassK0s(0x0), fhInvMassLambda(0x0), fhInvMassAntiLambda(0x0), fhArmenterosAll(0x0), fhArmenterosGamma(0x0), fhArmenterosK0s(0x0), fhArmenterosLambda(0x0), fhArmenterosAntiLambda(0x0), fHistSharedClusQAV0Pi(0x0), fHistSharedClusQAV0Pr(0x0), fHistSharedClusQAV0El(0x0), fTreeV0El(0x0), fTreeV0Pi(0x0), fTreeV0Pr(0x0), fTree_dEdx_tr(0.), fTree_dEdx_nb(0.), fTree_dEdx_vs(0.), fTree_dEdxExpected_tr(0.), fTree_p_TPC_tr(0.), fTree_p_TPC_nb(0.), fTree_p_TPC_vs(0.), fTree_BtimesChargeOverPt_tr(0.), fTree_BtimesChargeOverPt_nb(0.), fTree_BtimesChargeOverPt_vs(0.), fTree_tanTheta_tr(0.), fTree_tanTheta_nb(0.), fTree_tanTheta_vs(0.), fTree_distance_nb(0.), fTree_distance_vs(0.) { //fESDtrackCuts = AliESDtrackCuts::GetStandardITSTPCTrackCuts2011(kTRUE); //fESDtrackCutsV0 = AliESDtrackCuts::GetStandardITSTPCTrackCuts2011(kFALSE); // Constructor DefineInput(0, TChain::Class()); DefineOutput(1, TObjArray::Class()); DefineOutput(2, TObjArray::Class()); DefineOutput(3, TTree::Class()); DefineOutput(4, TTree::Class()); DefineOutput(5, TTree::Class()); } //_________________________________________________ AliTPCcalibResidualPID::~AliTPCcalibResidualPID() { delete fOutputContainer; fOutputContainer = 0; delete fQAList; fQAList = 0; /* delete fTreeV0El; fTreeV0El = 0; delete fTreeV0Pi; fTreeV0Pi = 0; delete fTreeV0Pr; fTreeV0Pr = 0; */ delete fESDtrackCuts; fESDtrackCuts = 0; delete fESDtrackCutsV0; fESDtrackCutsV0 = 0; delete fV0KineCuts; fV0KineCuts = 0; delete fV0tags; fV0tags = 0; fNumTagsStored = 0; delete fV0motherIndex; fV0motherIndex = 0; delete fV0motherPDG; fV0motherPDG = 0; } //________________________________________________________________________ void AliTPCcalibResidualPID::UserCreateOutputObjects() { AliInputEventHandler* inputHandler = dynamic_cast<AliInputEventHandler*>(AliAnalysisManager::GetAnalysisManager()->GetInputEventHandler()); if (!inputHandler) printf("Inputhandler not available \n"); else fPIDResponse = inputHandler->GetPIDResponse(); // THnSparse binning const Int_t kNdim = 9; //v0id, dEdx, TPCsigele, TPCsigpion, TOFbit, eta, TPCclus, centr, p Int_t bins[kNdim] = { 4, 250, 200, 200, 8, 20, 50, 20, 100}; Double_t xmin[kNdim] = { 0.5, 30, -10., -10., -1.5, -1., 60., 0., 0.1}; Double_t xmax[kNdim] = { 4.5, 500., 10., 10., 6.5, 1., 160., 100, 4}; fThnspTpc= new THnSparseF("tpcsignals", "TPC signal;v0id;tpc signal;tpcsigele;tpcsigpion;tofbit;eta;tpcclus;centr;p (GeV/c)", kNdim, bins, xmin, xmax); BinLogAxis(fThnspTpc, 8); // // 0.ptot, 1.tpcSig, 2.particle ID, 3. assumed particle, 4. nSigmaTPC (4x), 5. nSigmaTOF (4x), 6. centrality // Concerning 2 (particle ID): // - in case of MC: Contains MC ID. Bin 1-4 (<=> Slot 0-3): el, pi, ka, pr // - in case of data: Contains V0 particles + bin with all others: Bin 1-4 (<=> Slot 0-3): All non-V0s, V0-el, V0-pi, V0-pr // Int_t binsHistQA[7] = {135, 1980, 4, 5, 40, 10, 40}; Double_t xminHistQA[7] = {0.1, 20, -0.5, -0.5, -10, -5, 0.}; Double_t xmaxHistQA[7] = {50., 2000, 3.5, 4.5, 10, 5, 20000}; fHistPidQA = new THnSparseF("fHistPidQA","PID QA",7,binsHistQA,xminHistQA,xmaxHistQA); BinLogAxis(fHistPidQA, 0); // fHistPidQAshort = new THnSparseF("fHistPidQAshort" ,"PID QA -- short pads",7,binsHistQA,xminHistQA,xmaxHistQA); fHistPidQAmedium = new THnSparseF("fHistPidQAmedium","PID QA -- med pads",7,binsHistQA,xminHistQA,xmaxHistQA); fHistPidQAlong = new THnSparseF("fHistPidQAlong" ,"PID QA -- long pads",7,binsHistQA,xminHistQA,xmaxHistQA); fHistPidQAoroc = new THnSparseF("fHistPidQAoroc" ,"PID QA -- oroc",7,binsHistQA,xminHistQA,xmaxHistQA); BinLogAxis(fHistPidQAshort, 0); BinLogAxis(fHistPidQAmedium, 0); BinLogAxis(fHistPidQAlong, 0); BinLogAxis(fHistPidQAoroc, 0); // fOutputContainer = new TObjArray(2); fOutputContainer->SetName(GetName()); fOutputContainer->SetOwner(); if(fProduceTPCSignalSparse)fOutputContainer->Add(fThnspTpc); if(fProduceGlobal)fOutputContainer->Add(fHistPidQA); if(fProduceAllPadTypes || fProduceShortPads)fOutputContainer->Add(fHistPidQAshort); if(fProduceAllPadTypes || fProduceMediumPads)fOutputContainer->Add(fHistPidQAmedium); if(fProduceAllPadTypes || fProduceLongPads)fOutputContainer->Add(fHistPidQAlong); if(fProduceAllPadTypes || fProduceOroc)fOutputContainer->Add(fHistPidQAoroc); // V0 Kine cuts fV0KineCuts = new AliESDv0KineCuts; fV0KineCuts->SetGammaCutChi2NDF(5.); if (fCutOnProdRadiusForV0el) { // Only accept V0el with prod. radius within 45 cm -> PID will by systematically biased for larger values! Float_t gammaProdVertexRadiusCuts[2] = { 3.0, 45. }; fV0KineCuts->SetGammaCutVertexR(&gammaProdVertexRadiusCuts[0]); } if (fWriteAdditionalOutput) { fQAList = new TObjArray(4); fQAList->SetName(GetName()); fQAList->SetOwner(); fhInvMassGamma = new TH1F("fhInvMassGamma", "Invariant Mass of gammas; m_{ee} (GeV/#it{c}^{2}); Entries", 200, 0., 0.2); fhInvMassK0s = new TH1F("fhInvMassK0s", "Invariant Mass of K0s; m_{#pi#pi} (GeV/#it{c}^{2}); Entries;", 200, 0.45, 0.55); fhInvMassLambda = new TH1F("fhInvMassLambda", "Invariant Mass of lambdas; m_{p#pi^{-}} (GeV/#it{c}^{2}); Entries", 200, 1.05, 1.15); fhInvMassAntiLambda = new TH1F("fhInvMassAntiLambda", "Invariant Mass of anti-lambdas; m_{#pi^{+}#bar{p}} (GeV/#it{c}^{2}); Entries", 200, 1.05, 1.15); fQAList->Add(fhInvMassGamma); fQAList->Add(fhInvMassK0s); fQAList->Add(fhInvMassLambda); fQAList->Add(fhInvMassAntiLambda); fhArmenterosAll = new TH2F("fhArmenterosAll", "Armenteros plot all V0s;#alpha = (#it{p}^{+}_{L}-#it{p}^{-}_{L})/(#it{p}^{+}_{L}+#it{p}^{-}_{L});#it{q}_{T} (GeV/#it{c})", 200, -1., 1., 200, 0., 0.4); fhArmenterosGamma = new TH2F("fhArmenterosGamma", "Armenteros plot Gamma;#alpha = (#it{p}^{+}_{L}-#it{p}^{-}_{L})/(#it{p}^{+}_{L}+#it{p}^{-}_{L});#it{q}_{T} (GeV/#it{c})", 200, -1., 1., 200, 0., 0.4); fhArmenterosK0s = new TH2F("fhArmenterosK0s", "Armenteros plot K0s;#alpha = (#it{p}^{+}_{L}-#it{p}^{-}_{L})/(#it{p}^{+}_{L}+#it{p}^{-}_{L});#it{q}_{T} (GeV/#it{c})", 200, -1., 1., 200, 0., 0.4); fhArmenterosLambda = new TH2F("fhArmenterosLambda", "Armenteros plot lambda;#alpha = (#it{p}^{+}_{L}-#it{p}^{-}_{L})/(#it{p}^{+}_{L}+#it{p}^{-}_{L});#it{q}_{T} (GeV/#it{c})", 200, -1., 1., 200, 0., 0.4); fhArmenterosAntiLambda = new TH2F("fhArmenterosAntiLambda", "Armenteros plot anti-lambda;#alpha = (#it{p}^{+}_{L}-#it{p}^{-}_{L})/(#it{p}^{+}_{L}+#it{p}^{-}_{L});#it{q}_{T} (GeV/#it{c})", 200, -1., 1., 200, 0., 0.4); fQAList->Add(fhArmenterosAll); fQAList->Add(fhArmenterosGamma); fQAList->Add(fhArmenterosK0s); fQAList->Add(fhArmenterosLambda); fQAList->Add(fhArmenterosAntiLambda); const Int_t dimQASharedClusters = 4; const TString axisTitles[dimQASharedClusters] = { "#it{p}_{TPC} (GeV/#it{c})", "#it{#Delta'}", "#it{N}_{shared cl}", "Pad row"}; Int_t binsHistQASharedClusters[dimQASharedClusters] = { 100, 100, 160, 160}; Double_t xminHistQASharedClusters[dimQASharedClusters] = { 0.3, 0.5, 0, -1}; Double_t xmaxHistQASharedClusters[dimQASharedClusters] = { 20, 1.5, 160, 159}; fHistSharedClusQAV0Pi = new THnSparseF("fHistSharedClusQAV0Pi" ,"PID QA shared clusters - V0 pi", dimQASharedClusters, binsHistQASharedClusters, xminHistQASharedClusters, xmaxHistQASharedClusters); BinLogAxis(fHistSharedClusQAV0Pi, 0); for (Int_t i = 0; i < dimQASharedClusters; i++) fHistSharedClusQAV0Pi->GetAxis(i)->SetTitle(axisTitles[i].Data()); fQAList->Add(fHistSharedClusQAV0Pi); fHistSharedClusQAV0Pr = new THnSparseF("fHistSharedClusQAV0Pr" ,"PID QA shared clusters - V0 pr", dimQASharedClusters, binsHistQASharedClusters, xminHistQASharedClusters, xmaxHistQASharedClusters); BinLogAxis(fHistSharedClusQAV0Pr, 0); for (Int_t i = 0; i < dimQASharedClusters; i++) fHistSharedClusQAV0Pi->GetAxis(i)->SetTitle(axisTitles[i].Data()); fQAList->Add(fHistSharedClusQAV0Pr); fHistSharedClusQAV0El = new THnSparseF("fHistSharedClusQAV0El" ,"PID QA shared clusters - V0 el", dimQASharedClusters, binsHistQASharedClusters, xminHistQASharedClusters, xmaxHistQASharedClusters); BinLogAxis(fHistSharedClusQAV0El, 0); for (Int_t i = 0; i < dimQASharedClusters; i++) fHistSharedClusQAV0Pi->GetAxis(i)->SetTitle(axisTitles[i].Data()); fQAList->Add(fHistSharedClusQAV0El); OpenFile(3); fTreeV0El = new TTree("treeV0El", "V0 el together with info from closest neighbour"); fTreeV0El->Branch("dEdx_tr", &fTree_dEdx_tr); fTreeV0El->Branch("dEdx_nb", &fTree_dEdx_nb); fTreeV0El->Branch("dEdx_vs", &fTree_dEdx_vs); fTreeV0El->Branch("dEdxExpected_tr", &fTree_dEdxExpected_tr); fTreeV0El->Branch("p_TPC_tr", &fTree_p_TPC_tr); fTreeV0El->Branch("p_TPC_nb", &fTree_p_TPC_nb); fTreeV0El->Branch("p_TPC_vs", &fTree_p_TPC_vs); fTreeV0El->Branch("BtimesChargeOverPt_tr", &fTree_BtimesChargeOverPt_tr); fTreeV0El->Branch("BtimesChargeOverPt_nb", &fTree_BtimesChargeOverPt_nb); fTreeV0El->Branch("BtimesChargeOverPt_vs", &fTree_BtimesChargeOverPt_vs); fTreeV0El->Branch("tanTheta_tr", &fTree_tanTheta_tr); fTreeV0El->Branch("tanTheta_nb", &fTree_tanTheta_nb); fTreeV0El->Branch("tanTheta_vs", &fTree_tanTheta_vs); fTreeV0El->Branch("distance_nb", &fTree_distance_nb); fTreeV0El->Branch("distance_vs", &fTree_distance_vs); OpenFile(4); fTreeV0Pi = new TTree("treeV0Pi", "V0 pi together with info from closest neighbour"); fTreeV0Pi->Branch("dEdx_tr", &fTree_dEdx_tr); fTreeV0Pi->Branch("dEdx_nb", &fTree_dEdx_nb); fTreeV0Pi->Branch("dEdx_vs", &fTree_dEdx_vs); fTreeV0Pi->Branch("dEdxExpected_tr", &fTree_dEdxExpected_tr); fTreeV0Pi->Branch("p_TPC_tr", &fTree_p_TPC_tr); fTreeV0Pi->Branch("p_TPC_nb", &fTree_p_TPC_nb); fTreeV0Pi->Branch("p_TPC_vs", &fTree_p_TPC_vs); fTreeV0Pi->Branch("BtimesChargeOverPt_tr", &fTree_BtimesChargeOverPt_tr); fTreeV0Pi->Branch("BtimesChargeOverPt_nb", &fTree_BtimesChargeOverPt_nb); fTreeV0Pi->Branch("BtimesChargeOverPt_vs", &fTree_BtimesChargeOverPt_vs); fTreeV0Pi->Branch("tanTheta_tr", &fTree_tanTheta_tr); fTreeV0Pi->Branch("tanTheta_nb", &fTree_tanTheta_nb); fTreeV0Pi->Branch("tanTheta_vs", &fTree_tanTheta_vs); fTreeV0Pi->Branch("distance_nb", &fTree_distance_nb); fTreeV0Pi->Branch("distance_vs", &fTree_distance_vs); OpenFile(5); fTreeV0Pr = new TTree("treeV0Pr", "V0 pr together with info from closest neighbour"); fTreeV0Pr->Branch("dEdx_tr", &fTree_dEdx_tr); fTreeV0Pr->Branch("dEdx_nb", &fTree_dEdx_nb); fTreeV0Pr->Branch("dEdx_vs", &fTree_dEdx_vs); fTreeV0Pr->Branch("dEdxExpected_tr", &fTree_dEdxExpected_tr); fTreeV0Pr->Branch("p_TPC_tr", &fTree_p_TPC_tr); fTreeV0Pr->Branch("p_TPC_nb", &fTree_p_TPC_nb); fTreeV0Pr->Branch("p_TPC_vs", &fTree_p_TPC_vs); fTreeV0Pr->Branch("BtimesChargeOverPt_tr", &fTree_BtimesChargeOverPt_tr); fTreeV0Pr->Branch("BtimesChargeOverPt_nb", &fTree_BtimesChargeOverPt_nb); fTreeV0Pr->Branch("BtimesChargeOverPt_vs", &fTree_BtimesChargeOverPt_vs); fTreeV0Pr->Branch("tanTheta_tr", &fTree_tanTheta_tr); fTreeV0Pr->Branch("tanTheta_nb", &fTree_tanTheta_nb); fTreeV0Pr->Branch("tanTheta_vs", &fTree_tanTheta_vs); fTreeV0Pr->Branch("distance_nb", &fTree_distance_nb); fTreeV0Pr->Branch("distance_vs", &fTree_distance_vs); } PostData(1,fOutputContainer); if (fWriteAdditionalOutput) { PostData(2,fQAList); PostData(3,fTreeV0El); PostData(4,fTreeV0Pi); PostData(5,fTreeV0Pr); } } //_____________________________________________________________________________ void AliTPCcalibResidualPID::UserExec(Option_t *) { //calls the Process function AliESDInputHandler *esdH = dynamic_cast<AliESDInputHandler*> (AliAnalysisManager::GetAnalysisManager()->GetInputEventHandler()); if (!esdH) { printf("ERROR: Could not get ESDInputHandler \n"); } else fESD = esdH->GetEvent(); // If MC, forward MCevent fMC = dynamic_cast<AliMCEvent*>(MCEvent()); // Process(fESD, fMC); // PostData(1,fOutputContainer); if (fWriteAdditionalOutput) { PostData(2,fQAList); PostData(3,fTreeV0El); PostData(4,fTreeV0Pi); PostData(5,fTreeV0Pr); } } //________________________________________________________________________ void AliTPCcalibResidualPID::Process(AliESDEvent *const esdEvent, AliMCEvent *const mcEvent) { //called for each event if (!esdEvent) { Printf("ERROR: esdEvent not available"); return; } if (!fPIDResponse || !fV0KineCuts) { Printf("ERROR: No PIDresponse and/or v0KineCuts!"); return; } Float_t centralityFper=99; AliCentrality *esdCentrality = esdEvent->GetCentrality(); centralityFper = esdCentrality->GetCentralityPercentile("V0M"); if (!GetVertexIsOk(esdEvent)) return; const AliESDVertex* fESDvertex = esdEvent->GetPrimaryVertexTracks(); if (!fESDvertex) return; Int_t ncontr = fESDvertex->GetNContributors(); if (ncontr <= 0) return; // Fill V0 arrays with V0s FillV0PIDlist(esdEvent); // Array with flags wheter QA for this V0 was already done or not const Int_t numV0s = esdEvent->GetNumberOfV0s(); Bool_t v0QAadded[numV0s]; for (Int_t i = 0; i < numV0s; i++) v0QAadded[i] = kFALSE; Int_t nTotTracks = esdEvent->GetNumberOfTracks(); const Int_t nTotESDTracks = esdEvent->GetNumberOfESDTracks(); const Double_t magField = esdEvent->GetMagneticField(); Bool_t etaCorrAvail = fPIDResponse->UseTPCEtaCorrection(); Bool_t multCorrAvail = fPIDResponse->UseTPCMultiplicityCorrection(); for (Int_t iTracks = 0; iTracks < nTotTracks; iTracks++){//begin track loop AliESDtrack *trackESD = esdEvent->GetTrack(iTracks); if(!trackESD) { Printf("ERROR: Could not receive track %d (esd loop)", iTracks); continue; } if((TMath::Abs(trackESD->Eta())) > 0.9) continue; // Do not distinguish positively and negatively charged V0's Char_t v0tagAllCharges = TMath::Abs(GetV0tag(iTracks)); if (v0tagAllCharges == -99) { AliError(Form("Problem with V0 tag list (requested V0 track for track %d from %d (list status %d))!", iTracks, esdEvent->GetNumberOfTracks(), fV0tags != 0x0)); continue; } Bool_t isV0el = v0tagAllCharges == 14; Bool_t isV0pi = v0tagAllCharges == 15; Bool_t isV0pr = v0tagAllCharges == 16; Bool_t isV0 = isV0el || isV0pi || isV0pr; if (mcEvent && fUseMCinfo) { // For MC, do not look for V0s, i.e. demand the non-V0 track cuts if (fESDtrackCuts && !fESDtrackCuts->AcceptTrack(trackESD)) continue; if (fUseTPCCutMIGeo) { // If cut on geometry is active, don't cut on number of clusters, since such a cut is already included. if (!TPCCutMIGeo(trackESD, esdEvent)) continue; } else { // If cut on geometry is not active, always cut on num clusters if (trackESD->GetTPCsignalN() < 60) continue; } } else { // For data, take V0 AND non-V0 with separate cuts //if (!isV0 && fESDtrackCuts && !fESDtrackCuts->AcceptTrack(trackESD)) continue; if (isV0) { if (fESDtrackCutsV0 && !fESDtrackCutsV0->AcceptTrack(trackESD)) continue; } else { if (fESDtrackCuts && !fESDtrackCuts->AcceptTrack(trackESD)) continue; } if (fUseTPCCutMIGeo) { // If cut on geometry is active, don't cut on number of clusters, since such a cut is already included. if (!isV0) { if (!TPCCutMIGeo(trackESD, esdEvent)) continue; } else { // One should not cut on geometry for V0's since they have different topology. (Loosely) cut on num of clusters instead. if (trackESD->GetTPCsignalN() < 60) continue; } } else { // If cut on geometry is not active, always cut on num clusters if (trackESD->GetTPCsignalN() < 60) continue; } } const AliExternalTrackParam *paramIn = trackESD->GetInnerParam(); Float_t precin=-1; if(paramIn) { precin=paramIn->GetP(); } else { printf("Inner param not found for track %d - skipping!\n", iTracks); continue; } Int_t precdefault=CompareFloat(precin,-1); if(precdefault==1) continue; // momentum cut // AliMCParticle* mcTrack = 0x0; Int_t particleID = -1; Int_t v0id = 0; if (mcEvent && fUseMCinfo) { // MC - particle ID = MC ID Int_t label = trackESD->GetLabel(); if (label < 0) continue; // If MC is available, reject tracks with negative ESD label mcTrack = dynamic_cast<AliMCParticle*>(mcEvent->GetTrack(TMath::Abs(label))); if (!mcTrack) { Printf("ERROR: Could not receive mcTrack with label %d for track %d", label, iTracks); continue; } /*// Only accept MC primaries if (!mcEvent->Stack()->IsPhysicalPrimary(TMath::Abs(label))) { continue; }*/ Int_t pdgAbs = TMath::Abs(mcTrack->PdgCode()); if (pdgAbs == 11) { // electron particleID = 0; } else if (pdgAbs == 211) { // pion particleID = 1; } else if (pdgAbs == 321) { // kaon particleID = 2; } else if (pdgAbs == 2212) { // proton particleID = 3; } else continue; // Reject all other particles } else { // Data - particle ID = V0 ID (if V0) if (isV0pi) { // pion particleID = 2; v0id = 2; } else if (isV0el) { // electron particleID = 1; v0id = 1; } else if (isV0pr) { // proton particleID = 3; v0id = 3; } else { // No V0-ID available (species must be determined via TPC, TOF, ...) particleID = 0; } } Float_t tpcsignal=trackESD->GetTPCsignal(); Int_t tofbit=-1; Int_t iTOFpid=0; Int_t ikTIME=0; Double_t tpcnsigmaele=-10; Double_t tpcnsigmapion=-10; // if ((trackESD->GetStatus() & AliESDtrack::kTOFpid)) iTOFpid = 1; if ((trackESD->GetStatus() & AliESDtrack::kTIME)) ikTIME = 1; Float_t time0 = fPIDResponse->GetTOFResponse().GetTimeZero(); // if((iTOFpid==1) &&(ikTIME==1)){ Double_t tofnsigmaele= fPIDResponse->NumberOfSigmasTOF(trackESD,AliPID::kElectron, time0); Double_t tofnsigmapion=fPIDResponse->NumberOfSigmasTOF(trackESD,AliPID::kPion, time0); if (TMath::Abs(tofnsigmapion)<3) tofbit = 1; if (TMath::Abs(tofnsigmaele)<3) tofbit = 0; tpcnsigmaele=fPIDResponse->NumberOfSigmasTPC(trackESD,AliPID::kElectron); tpcnsigmapion=fPIDResponse->NumberOfSigmasTPC(trackESD,AliPID::kPion); } // Int_t tpcnclusN=trackESD->GetTPCsignalN(); Double_t eta=trackESD->Eta(); // if(fProduceTPCSignalSparse){ Double_t contentSignal[9]; contentSignal[0]=v0id; contentSignal[1]=tpcsignal; contentSignal[2]=tpcnsigmaele; contentSignal[3]=tpcnsigmapion; contentSignal[4]=tofbit; contentSignal[5]=eta; contentSignal[6]=tpcnclusN; contentSignal[7]=centralityFper; contentSignal[8]=precin; // if (fThnspTpc->GetEntries() < 1e6) fThnspTpc->Fill(contentSignal); }//should it be created or not // // 2nd THnSparse // Double_t tpcQA[5] = {fPIDResponse->NumberOfSigmasTPC(trackESD, AliPID::kElectron), fPIDResponse->NumberOfSigmasTPC(trackESD, AliPID::kPion), fPIDResponse->NumberOfSigmasTPC(trackESD, AliPID::kKaon), fPIDResponse->NumberOfSigmasTPC(trackESD, AliPID::kProton), 0}; Double_t tofQA[5] = {fPIDResponse->NumberOfSigmasTOF(trackESD, AliPID::kElectron, time0), fPIDResponse->NumberOfSigmasTOF(trackESD, AliPID::kPion, time0), fPIDResponse->NumberOfSigmasTOF(trackESD, AliPID::kKaon, time0), fPIDResponse->NumberOfSigmasTOF(trackESD, AliPID::kProton, time0), 0 }; // id 5 is just again Kaons in restricted eta range tpcQA[4] = tpcQA[2]; tofQA[4] = tofQA[2]; // // dE/dx in different pad regions // AliTPCdEdxInfo * infoTpcPid = trackESD->GetTPCdEdxInfo(); Double32_t signal[4]; Char_t ncl[3]; Char_t nrows[3]; if (infoTpcPid) { infoTpcPid->GetTPCSignalRegionInfo(signal, ncl, nrows); } else { for(Int_t iarr = 0; iarr < 3; iarr++) { signal[iarr] = 0; ncl[iarr] = 0; nrows[iarr] = 0; } signal[3] = 0; } // UInt_t status = trackESD->GetStatus(); Bool_t hasTOFout = status&AliESDtrack::kTOFout; Bool_t hasTOFtime = status&AliESDtrack::kTIME; Bool_t hasTOF = kFALSE; if (hasTOFout && hasTOFtime) hasTOF = kTRUE; Float_t length = trackESD->GetIntegratedLength(); // Length check only for primaries! if (length < 350 && !isV0) hasTOF = kFALSE; // if (!hasTOF) { // Make sure that number of sigmas is large in this case, so that the track will be rejected if a TOF cut is applied for (Int_t i = 0; i < 5; i++) { tofQA[i] = 999; } } Double_t processedTPCsignal[5] = { tpcsignal, tpcsignal, tpcsignal, tpcsignal, tpcsignal }; if (fCorrectdEdxEtaDependence && fNumEtaCorrReqErrorsIssued < 23 && !etaCorrAvail) { AliError("TPC eta correction requested, but was not activated in PID response (most likely not available)!"); fNumEtaCorrReqErrorsIssued++; if (fNumEtaCorrReqErrorsIssued == 23) AliError("Ignoring this error from now on!"); } if (fCorrectdEdxMultiplicityDependence && fNumMultCorrReqErrorsIssued < 23 && !multCorrAvail) { AliError("TPC multiplicity correction requested, but was not activated in PID response (most likely not available)!"); fNumMultCorrReqErrorsIssued++; if (fNumMultCorrReqErrorsIssued == 23) AliError("Ignoring this error from now on!"); } if (fCorrectdEdxEtaDependence && etaCorrAvail && fCorrectdEdxMultiplicityDependence && multCorrAvail) { processedTPCsignal[0] = fPIDResponse->GetTPCResponse().GetEtaAndMultiplicityCorrectedTrackdEdx(trackESD, AliPID::kElectron, AliTPCPIDResponse::kdEdxDefault); processedTPCsignal[1] = fPIDResponse->GetTPCResponse().GetEtaAndMultiplicityCorrectedTrackdEdx(trackESD, AliPID::kPion, AliTPCPIDResponse::kdEdxDefault); processedTPCsignal[2] = fPIDResponse->GetTPCResponse().GetEtaAndMultiplicityCorrectedTrackdEdx(trackESD, AliPID::kKaon, AliTPCPIDResponse::kdEdxDefault); processedTPCsignal[3] = fPIDResponse->GetTPCResponse().GetEtaAndMultiplicityCorrectedTrackdEdx(trackESD, AliPID::kProton, AliTPCPIDResponse::kdEdxDefault); } else if (fCorrectdEdxEtaDependence && etaCorrAvail) { processedTPCsignal[0] = fPIDResponse->GetTPCResponse().GetEtaCorrectedTrackdEdx(trackESD, AliPID::kElectron, AliTPCPIDResponse::kdEdxDefault); processedTPCsignal[1] = fPIDResponse->GetTPCResponse().GetEtaCorrectedTrackdEdx(trackESD, AliPID::kPion, AliTPCPIDResponse::kdEdxDefault); processedTPCsignal[2] = fPIDResponse->GetTPCResponse().GetEtaCorrectedTrackdEdx(trackESD, AliPID::kKaon, AliTPCPIDResponse::kdEdxDefault); processedTPCsignal[3] = fPIDResponse->GetTPCResponse().GetEtaCorrectedTrackdEdx(trackESD, AliPID::kProton, AliTPCPIDResponse::kdEdxDefault); } else if (fCorrectdEdxMultiplicityDependence && multCorrAvail) { processedTPCsignal[0] = fPIDResponse->GetTPCResponse().GetMultiplicityCorrectedTrackdEdx(trackESD, AliPID::kElectron, AliTPCPIDResponse::kdEdxDefault); processedTPCsignal[1] = fPIDResponse->GetTPCResponse().GetMultiplicityCorrectedTrackdEdx(trackESD, AliPID::kPion, AliTPCPIDResponse::kdEdxDefault); processedTPCsignal[2] = fPIDResponse->GetTPCResponse().GetMultiplicityCorrectedTrackdEdx(trackESD, AliPID::kKaon, AliTPCPIDResponse::kdEdxDefault); processedTPCsignal[3] = fPIDResponse->GetTPCResponse().GetMultiplicityCorrectedTrackdEdx(trackESD, AliPID::kProton, AliTPCPIDResponse::kdEdxDefault); } // id 5 is just again Kaons in restricted eta range processedTPCsignal[4] = processedTPCsignal[2]; for(Int_t iPart = 0; iPart < 5; iPart++) { // Only accept "Kaons" within |eta| < 0.2 for index 4 in case of data (no contamination in case of MC, so this index is not used) if (iPart == 4 && ((mcEvent && fUseMCinfo) || abs(trackESD->Eta()) > 0.2)) continue; Double_t vecHistQA[7] = {precin, processedTPCsignal[iPart], (Double_t)particleID, (Double_t)iPart, tpcQA[iPart], tofQA[iPart], (Double_t)nTotESDTracks}; if (fProduceGlobal) fHistPidQA->Fill(vecHistQA); vecHistQA[1] = signal[0]; vecHistQA[4] = ncl[0]; if ((fProduceAllPadTypes || fProduceShortPads)) fHistPidQAshort->Fill(vecHistQA); // vecHistQA[1] = signal[1]; vecHistQA[4] = ncl[1]; if ((fProduceAllPadTypes || fProduceMediumPads)) fHistPidQAmedium->Fill(vecHistQA); // vecHistQA[1] = signal[2]; vecHistQA[4] = ncl[2]; if ((fProduceAllPadTypes || fProduceLongPads)) fHistPidQAlong->Fill(vecHistQA); // vecHistQA[1] = signal[3]; vecHistQA[4] = nrows[1] + nrows[2]; if ((fProduceAllPadTypes || fProduceOroc)) fHistPidQAoroc->Fill(vecHistQA); } if (fWriteAdditionalOutput && isV0) { // Find the closest neighbour and fill the information into the trees. fTree_p_TPC_tr = precin; fTree_dEdx_tr = tpcsignal; fTree_BtimesChargeOverPt_tr = TMath::Abs(magField) * trackESD->GetSigned1Pt(); fTree_tanTheta_tr = trackESD->GetInnerParam()->GetTgl(); Int_t closestNeighbourIndex = -1; const Double_t tpcInnerRadius = 85.; const Int_t parIndexGlobalPhi = 8; const Double_t z_tr = trackESD->GetInnerParam()->GetZ(); const Double_t phi_tr = trackESD->GetInnerParam()->GetParameterAtRadius(tpcInnerRadius, magField, parIndexGlobalPhi); const Double_t distanceCut = 12.; // Cut on distance between track to closest neighbour Double_t z_nb = 9999; Double_t phi_nb = 9999; Double_t delta_z = 9999; Double_t delta_phi = 9999; fTree_distance_nb = -9999; for (Int_t jTracks = 0; jTracks < nTotTracks; jTracks++) { if (iTracks == jTracks) continue; // Exclude track we are looking at right now from neighbour list AliESDtrack *track_nb= esdEvent->GetTrack(jTracks); if(!track_nb) continue; const AliExternalTrackParam *paramIn_nb = track_nb->GetInnerParam(); if (!paramIn_nb) continue; z_nb = paramIn_nb->GetZ(); delta_z = TMath::Abs(z_nb - z_tr); if (delta_z >= distanceCut) continue; phi_nb = paramIn_nb->GetParameterAtRadius(tpcInnerRadius, magField, parIndexGlobalPhi); delta_phi = TMath::Abs(phi_nb - phi_tr); const Double_t delta_r_phi = tpcInnerRadius * delta_phi; if (delta_r_phi >= distanceCut) continue; const Double_t distance = TMath::Sqrt(delta_z * delta_z + delta_r_phi * delta_r_phi); if (distance >= distanceCut) continue; if (closestNeighbourIndex < 0 || distance < fTree_distance_nb) { fTree_distance_nb = distance; closestNeighbourIndex = jTracks; } } if (closestNeighbourIndex >= 0 && closestNeighbourIndex < nTotTracks) { AliESDtrack *track_nb= esdEvent->GetTrack(closestNeighbourIndex); fTree_dEdx_nb = track_nb->GetTPCsignal(); fTree_p_TPC_nb = track_nb->GetInnerParam()->GetP(); fTree_BtimesChargeOverPt_nb = TMath::Abs(magField) * track_nb->GetSigned1Pt(); fTree_tanTheta_nb = track_nb->GetInnerParam()->GetTgl(); } else { // No neighbour in this range -> nevertheless store the track, but set neighbour values to invalid fTree_dEdx_nb = -999.; fTree_p_TPC_nb = -999.; fTree_BtimesChargeOverPt_nb = -999.; fTree_tanTheta_nb = -999.; fTree_distance_nb = -999.; } // Find the other V0 daughter and store its values const Int_t motherIndex = GetV0motherIndex(iTracks); AliESDv0* v0Mother = (AliESDv0*)esdEvent->GetV0(motherIndex); if (!v0Mother) { printf("Error: Track tagged as V0 daughter, but V0 mother not found!\n"); continue; } const Int_t iTrackP = v0Mother->GetPindex(); // positive track const Int_t iTrackN = v0Mother->GetNindex(); // negative track_nb Int_t iTrackV0sister = -1; if (iTrackP == iTracks) iTrackV0sister = iTrackN; else if (iTrackN == iTracks) iTrackV0sister = iTrackP; else { printf("Error: V0 sister relations are wrong!\n"); continue; } fTree_dEdx_vs = -999.; fTree_p_TPC_vs = -999.; fTree_BtimesChargeOverPt_vs = -999.; fTree_tanTheta_vs = -999.; fTree_distance_vs = -999.; AliESDtrack *track_vs = esdEvent->GetTrack(iTrackV0sister); if (track_vs) { const AliExternalTrackParam *paramIn_vs = track_vs->GetInnerParam(); if (paramIn_vs) { fTree_dEdx_vs = track_vs->GetTPCsignal(); fTree_p_TPC_vs = paramIn_vs->GetP(); fTree_BtimesChargeOverPt_vs = TMath::Abs(magField) * track_vs->GetSigned1Pt(); fTree_tanTheta_vs = paramIn_vs->GetTgl(); // Calculate distance const Double_t z_vs = paramIn_vs->GetZ(); const Double_t delta_z_vs = TMath::Abs(z_vs - z_tr); const Double_t phi_vs = paramIn_vs->GetParameterAtRadius(tpcInnerRadius, magField, parIndexGlobalPhi); const Double_t delta_phi_vs = TMath::Abs(phi_vs - phi_tr); const Double_t delta_r_phi_vs = tpcInnerRadius * delta_phi_vs; fTree_distance_vs = TMath::Sqrt(delta_z_vs * delta_z_vs + delta_r_phi_vs * delta_r_phi_vs); } } if (isV0el) { fTree_dEdxExpected_tr = fPIDResponse->GetTPCResponse().GetExpectedSignal(trackESD, AliPID::kElectron, AliTPCPIDResponse::kdEdxDefault, fPIDResponse->UseTPCEtaCorrection(), fPIDResponse->UseTPCMultiplicityCorrection()); if (fTree_dEdxExpected_tr > 0) fTreeV0El->Fill(); } else if (isV0pi) { fTree_dEdxExpected_tr = fPIDResponse->GetTPCResponse().GetExpectedSignal(trackESD, AliPID::kPion, AliTPCPIDResponse::kdEdxDefault, fPIDResponse->UseTPCEtaCorrection(), fPIDResponse->UseTPCMultiplicityCorrection()); if (fTree_dEdxExpected_tr > 0) fTreeV0Pi->Fill(); } else if (isV0pr) { fTree_dEdxExpected_tr = fPIDResponse->GetTPCResponse().GetExpectedSignal(trackESD, AliPID::kProton, AliTPCPIDResponse::kdEdxDefault, fPIDResponse->UseTPCEtaCorrection(), fPIDResponse->UseTPCMultiplicityCorrection()); if (fTree_dEdxExpected_tr > 0) fTreeV0Pr->Fill(); } // Fill QA hists for shared clusters dE/dx Double_t vecHistQA[4] = { precin, -1., (Double_t)trackESD->GetTPCSharedMap().CountBits(), -1. }; THnSparse* currHist = fHistSharedClusQAV0Pi; if (isV0pi) { Double_t expectedDeDx = fPIDResponse->GetTPCResponse().GetExpectedSignal(trackESD, AliPID::kPion, AliTPCPIDResponse::kdEdxDefault, fPIDResponse->UseTPCEtaCorrection(), fPIDResponse->UseTPCMultiplicityCorrection()); if (expectedDeDx > 0 ) { vecHistQA[1] = tpcsignal / expectedDeDx; currHist = fHistSharedClusQAV0Pi; } } else if (isV0pr) { Double_t expectedDeDx = fPIDResponse->GetTPCResponse().GetExpectedSignal(trackESD, AliPID::kProton, AliTPCPIDResponse::kdEdxDefault, fPIDResponse->UseTPCEtaCorrection(), fPIDResponse->UseTPCMultiplicityCorrection()); if (expectedDeDx > 0 ) { vecHistQA[1] = tpcsignal / expectedDeDx; currHist = fHistSharedClusQAV0Pr; } } else if (isV0el) { Double_t expectedDeDx = fPIDResponse->GetTPCResponse().GetExpectedSignal(trackESD, AliPID::kElectron, AliTPCPIDResponse::kdEdxDefault, fPIDResponse->UseTPCEtaCorrection(), fPIDResponse->UseTPCMultiplicityCorrection()); if (expectedDeDx > 0 ) { vecHistQA[1] = tpcsignal / expectedDeDx; currHist = fHistSharedClusQAV0El; } } Int_t iRowInd = -1; // iRowInd == -1 for "all rows w/o multiple counting" currHist->Fill(vecHistQA); // Fill hist for every pad row with shared cluster for (iRowInd = 0; iRowInd < 159; iRowInd++) { if (trackESD->GetTPCSharedMap().TestBitNumber(iRowInd)) { vecHistQA[3] = iRowInd; currHist->Fill(vecHistQA); } } // Check, whether the QA for this V0 mother was already filled into the histograms (is the case if the other daughter has already // been processed). If not, set flag to kTRUE and fill the QA. const Int_t iV0 = GetV0motherIndex(iTracks); if (!v0QAadded[iV0]) { v0QAadded[iV0] = kTRUE; AliESDv0* esdV0 = (AliESDv0*)esdEvent->GetV0(iV0); if (!esdV0) { printf("Error: V0 tagged, but does not exist!\n"); } else { Float_t armVar[2] = {0.0,0.0}; fV0KineCuts->Armenteros(esdV0, armVar); const Int_t motherPDG = GetV0motherPDG(iTracks); // Mother and daughter match the requirements, otherwise it wouldn't be tagged as a V0. Now just fill the QA histos. fhArmenterosAll->Fill(armVar[0], armVar[1]); //if (esdV0->TestBit(BIT(14))) { if (TMath::Abs(motherPDG) == 22) { fhInvMassGamma->Fill(esdV0->GetEffMass(AliPID::kElectron, AliPID::kElectron)); fhArmenterosGamma->Fill(armVar[0], armVar[1]); } else if (TMath::Abs(motherPDG) == 310) { //else if (esdV0->TestBit(BIT(15))) { fhInvMassK0s->Fill(esdV0->GetEffMass(AliPID::kPion, AliPID::kPion)); fhArmenterosK0s->Fill(armVar[0], armVar[1]); } else if (motherPDG == 3122) { //else if (esdV0->TestBit(BIT(16))) { fhInvMassLambda->Fill(esdV0->GetEffMass(AliPID::kProton, AliPID::kPion)); fhArmenterosLambda->Fill(armVar[0], armVar[1]); } else if (motherPDG == -3122) { //else if (esdV0->TestBit(BIT(17))) { fhInvMassAntiLambda->Fill(esdV0->GetEffMass(AliPID::kPion, AliPID::kProton)); fhArmenterosAntiLambda->Fill(armVar[0], armVar[1]); } } } } } //end track loop // Clear the V0 PID arrays ClearV0PIDlist(); } //________________________________________________________________________ Int_t AliTPCcalibResidualPID::CompareFloat(Float_t f1, Float_t f2) const { //compares if the Float_t f1 is equal with f2 and returns 1 if true and 0 if false Float_t precision = 0.00001; if (((f1 - precision) < f2) && ((f1 + precision) > f2)) { return 1; } else { return 0; } } //________________________________________________________________________ void AliTPCcalibResidualPID::Terminate(const Option_t *) { } //________________________________________________________________________ void AliTPCcalibResidualPID::BinLogAxis(const THnSparseF *h, Int_t axisNumber) { // // Method for the correct logarithmic binning of histograms // TAxis *axis = h->GetAxis(axisNumber); int bins = axis->GetNbins(); Double_t from = axis->GetXmin(); Double_t to = axis->GetXmax(); Double_t *newBins = new Double_t[bins + 1]; newBins[0] = from; Double_t factor = pow(to/from, 1./bins); for (int i = 1; i <= bins; i++) { newBins[i] = factor * newBins[i-1]; } axis->Set(bins, newBins); delete [] newBins; } //________________________________________________________________________ Double_t* AliTPCcalibResidualPID::ExtractResidualPID(THnSparseF * histPidQA, const Bool_t useV0s, const Char_t * outFile, const Char_t * type, const Char_t * period, const Char_t * pass, const Char_t * system, const Double_t * initialParameters, const Char_t *dedxtype, AliTPCcalibResidualPID::FitType fitType) { // // (1.) obtain residual graphs // TObjArray * arr = 0x0; Bool_t isMC = kFALSE; if (strcmp(type, "MC") == 0) { arr = GetResidualGraphsMC(histPidQA, system); isMC = kTRUE; } else if (strcmp(type, "DATA") == 0) { arr = GetResidualGraphs(histPidQA, system, useV0s); } else { Printf("ERROR - ExtractResidualPID: Unknown type \"%s\" - must be \"MC\" or \"DATA\"!", type); return 0x0; } Bool_t isPPb = kFALSE; if (strcmp(system, "PPB") == 0 || strcmp(system, "PBP") == 0) { Printf("p-Pb/Pb-p detected - Applying special handling!"); isPPb = kTRUE; } // // (2.) get old-style Bethe-Bloch parameters // TF1* parametrisation = FitBB(arr, isMC, isPPb, useV0s, initialParameters, fitType); // // (3.) obtain response functions to OADB // TObjArray* arrResponse = GetResponseFunctions(parametrisation, arr, type, period, pass, system, dedxtype); // // (4.) write results to file and exit // if (arrResponse) { TFile outputFile(outFile,"RECREATE"); arrResponse->Write(); outputFile.Close(); } // return parametrisation->GetParameters(); } //________________________________________________________________________ TObjArray * AliTPCcalibResidualPID::GetSeparation(THnSparseF * histPidQA, Int_t kParticle1, Int_t kParticle2) { //get THnSparse THnSparse * hist = histPidQA; Float_t nSigmaPlus1 = 0, nSigmaMinus1 = 0; //sigma of first particle in the TPC Float_t nSigmaPlus2 = 0, nSigmaMinus2 = 0; //sigma of second particle in the TPC if(kParticle1 == 0){ // electron nSigmaMinus1 = -1.999; nSigmaPlus1 = 2.999; } else if(kParticle1 == 1){ //pion nSigmaMinus1 = -1.999; nSigmaPlus1 = 2.999; } else if(kParticle1 == 2){ //kaons nSigmaMinus1 = -2.999; nSigmaPlus1 = 2.999; } else if(kParticle1 == 3){ //protons nSigmaMinus1 = -2.999; nSigmaPlus1 = 2.999; } // // 1. select and fit first particle // hist->GetAxis(3)->SetRangeUser(kParticle1,kParticle1); hist->GetAxis(4)->SetRangeUser(nSigmaMinus1,nSigmaPlus1); hist->GetAxis(5)->SetRangeUser(-2.999,2.999); // 3sigma in TOF TH2D * histPart1 = (TH2D*) hist->Projection(1,0)->Clone("histPart1"); histPart1->SetTitle(";p /(GeV/c) ; TPCSignal /(a.u.)"); histPart1->RebinX(4); TObjArray arr; histPart1->FitSlicesY(0,0,-1,10,"QNR",&arr); TH1D * PartMean1 = (TH1D *) arr.At(1)->Clone("PartMean1"); TH1D * PartSigma1 = (TH1D *) arr.At(2)->Clone("PartSigma1"); PartMean1->SetTitle(";p /(GeV/c) ; Mean (Gauss)"); PartSigma1->SetTitle(";p /(GeV/c) ; Sigma (Gauss)"); histPart1->SetMarkerStyle(22); PartMean1->SetMarkerStyle(21); hist->GetAxis(4)->SetRange(0,-1); // RESET RANGES hist->GetAxis(5)->SetRange(0,-1); // RESET RANGES if(kParticle2==0){ // electron nSigmaMinus2 = -1.999; nSigmaPlus2 = 2.999; } else if(kParticle2 == 1){ //pion nSigmaMinus2 = -1.999; nSigmaPlus2 = 2.999; } else if(kParticle2 == 2){ //kaons nSigmaMinus2 = -2.999; nSigmaPlus2 = 2.999; } else if(kParticle2 == 3){ //protons nSigmaMinus2 = -2.999; nSigmaPlus2 = 2.999; } // // 2. select and fit second particle // hist->GetAxis(3)->SetRangeUser(kParticle2,kParticle2); hist->GetAxis(4)->SetRangeUser(nSigmaMinus2,nSigmaPlus2); hist->GetAxis(5)->SetRangeUser(-2.999,2.999); // 3sigma in TOF TH2D * histPart2 = (TH2D*)hist->Projection(1,0)->Clone("histPart2"); histPart2->RebinX(4); histPart2->FitSlicesY(0,0,-1,10,"QNR",&arr); TH1D * PartMean2 = (TH1D *) arr.At(1)->Clone("PartMean2"); TH1D * PartSigma2 = (TH1D *) arr.At(2)->Clone("PartSigma2"); PartMean2->SetTitle(";p /(GeV/c) ; Mean (Gauss)"); PartSigma2->SetTitle(";p /(GeV/c) ; Sigma (Gauss)"); PartMean2->SetMarkerStyle(20); hist->GetAxis(4)->SetRange(0,-1); // RESET RANGES hist->GetAxis(5)->SetRange(0,-1); // RESET RANGES // // 3. separation // TH1F *fHistSeparation=(TH1F*)PartMean1->Clone("fHistSeparation"); //to get same binning fHistSeparation->SetMarkerStyle(22); const Int_t Nbins = PartMean1->GetNbinsX(); fHistSeparation->SetTitle(";p /(GeV/c) ; Separation"); Float_t DeltaMean[Nbins] ; Float_t DeltaSigma[Nbins]; for(Int_t i=0 ; i<Nbins; i++){ DeltaMean[i] = TMath::Abs(PartMean1->GetBinContent(i) - PartMean2->GetBinContent(i)); DeltaSigma[i] = TMath::Abs((PartSigma1->GetBinContent(i) + PartSigma2->GetBinContent(i)))/2.; if(!(TMath::Abs(DeltaSigma[i])<0.000001))fHistSeparation->SetBinContent(i,DeltaMean[i]/DeltaSigma[i]); }//for(Int_t i=0 ; i<Nbins ; i++) TObjArray *array = new TObjArray(); array->Add(histPart1); array->Add(histPart2); array->Add(PartMean1); array->Add(PartSigma1); array->Add(PartMean2); array->Add(PartSigma2); array->Add(fHistSeparation); return array; } //________________________________________________________________________ TObjArray * AliTPCcalibResidualPID::GetResidualGraphs(THnSparseF * histPidQA, const Char_t * system, Bool_t useV0s) { // // Extracts the residual graphs from THnSparse created from data (NOT MC!) // const TString momTitle = "#it{p}_{TPC} (GeV/#it{c})"; const TString dEdxTitle = "d#it{E}/d#it{x} (arb. unit)"; Bool_t isPPb = kFALSE; if (strcmp(system, "PPB") == 0 || strcmp(system, "PBP") == 0) { Printf("p-Pb/Pb-p detected - Applying special handling!"); isPPb = kTRUE; } // the following parameters have to be extracted from the data itself // Float_t nSigmaPionMinus = -3.999; Float_t nSigmaPionPlus = 3.999; Float_t nSigmaKaonMinus = -4.199; Float_t nSigmaKaonPlus = 4.7999; Float_t nSigmaElectronMinus = -1.999; Float_t nSigmaElectronPlus = 4.999; Int_t cutForFitting = 10; Double_t heightFractionForFittingRange = 0.1; // THnSparse * hist = histPidQA; // TCanvas * canvasQAtpc = new TCanvas("canvasQAtpcResGraph","Control canvas for residual graphs (TPC)",100,10,1380,800); canvasQAtpc->Divide(2,2); TCanvas * canvasQAtof = new TCanvas("canvasQAtofResGraph","Control canvas for residual graphs (TOF)",100,10,1380,800); canvasQAtof->Divide(2,2); TCanvas * canvasQAv0 = new TCanvas("canvasQAv0ResGraph","Control canvas for residual graphs (V0)",100,10,1380,800); canvasQAv0->Divide(2,2); TCanvas * canvasQAv0plusTOF = new TCanvas("canvasQAv0plusTOFResGraph","Control canvas for residual graphs (V0+TOF)",100,10,1380,800); canvasQAv0plusTOF->Divide(2,2); TCanvas * canvasQAv0DeDxPurityEl = new TCanvas("canvasQAv0DeDxPurityEl","Control canvas for residual graphs (V0 el)",100,10,600,400); TCanvas * canvasQAv0DeDxPurityPi = new TCanvas("canvasQAv0DeDxPurityPi","Control canvas for residual graphs (V0 pi)",100,10,600,400); TCanvas * canvasQAv0DeDxPurityPr = new TCanvas("canvasQAv0DeDxPurityPr","Control canvas for residual graphs (V0 pr)",100,10,600,400); canvasQAv0DeDxPurityEl->SetLogx(); canvasQAv0DeDxPurityPi->SetLogx(); canvasQAv0DeDxPurityPr->SetLogx(); canvasQAv0DeDxPurityEl->SetLogz(); canvasQAv0DeDxPurityPi->SetLogz(); canvasQAv0DeDxPurityPr->SetLogz(); canvasQAv0DeDxPurityEl->SetTopMargin(0.03); canvasQAv0DeDxPurityPi->SetTopMargin(0.03); canvasQAv0DeDxPurityPr->SetTopMargin(0.03); for (Int_t i = 1; i <= 4; i++) { canvasQAtpc->GetPad(i)->SetGrid(1, 1); canvasQAtof->GetPad(i)->SetGrid(1, 1); canvasQAv0->GetPad(i)->SetGrid(1, 1); canvasQAv0plusTOF->GetPad(i)->SetGrid(1, 1); canvasQAtpc->GetPad(i)->SetLogz(); canvasQAtof->GetPad(i)->SetLogz(); canvasQAv0->GetPad(i)->SetLogz(); canvasQAv0plusTOF->GetPad(i)->SetLogz(); canvasQAtpc->GetPad(i)->SetLogx(); canvasQAtof->GetPad(i)->SetLogx(); canvasQAv0->GetPad(i)->SetLogx(); canvasQAv0plusTOF->GetPad(i)->SetLogx(); } // // 1. select and fit electrons // hist->GetAxis(2)->SetRangeUser(0,0); // Non-V0s hist->GetAxis(3)->SetRangeUser(0,0); // electrons hist->GetAxis(4)->SetRangeUser(nSigmaElectronMinus,nSigmaElectronPlus); // 3sigma in TPC hist->GetAxis(5)->SetRangeUser(-2.999,2.999); // 3sigma in TOF TH2D * histElectron = hist->Projection(1,0); histElectron->SetName("histElectron"); histElectron->RebinX(4); histElectron->GetXaxis()->SetRangeUser(0.2,3.0); TObjArray arr; FitSlicesY(histElectron, heightFractionForFittingRange, cutForFitting, "QNR", &arr); TH1D * electronPoints = (TH1D *) arr.At(1)->Clone(); // TGraphErrors * electronGraph = new TGraphErrors(electronPoints); electronGraph->SetName("electronGraph"); for(Int_t ip = 0; ip < electronGraph->GetN(); ip ++) { Bool_t removePoint = electronGraph->GetY()[ip] < 10 || electronGraph->GetEY()[ip]/electronGraph->GetY()[ip] > 0.05 || electronGraph->GetX()[ip] > 2.0 || electronGraph->GetX()[ip] < 0.5; if (removePoint) { electronGraph->RemovePoint(ip); ip--; continue; } } // canvasQAtof->cd(1); histElectron->SetTitle("electrons"); histElectron->GetYaxis()->SetRangeUser(50, 120); histElectron->GetXaxis()->SetTitle(momTitle.Data()); histElectron->GetYaxis()->SetTitle(dEdxTitle.Data()); histElectron->GetXaxis()->SetMoreLogLabels(kTRUE); histElectron->GetXaxis()->SetNoExponent(kTRUE); histElectron->Draw("colz"); electronPoints->SetMarkerStyle(24); electronPoints->Draw("same"); hist->GetAxis(4)->SetRange(0,-1); // RESET RANGES hist->GetAxis(5)->SetRange(0,-1); // RESET RANGES // // 2. protons // hist->GetAxis(2)->SetRangeUser(0,0); // Non-V0s hist->GetAxis(3)->SetRangeUser(3,3); // protons // //hist->GetAxis(4)->SetRangeUser(nSigmaProtonMinus,nSigmaProtonPlus); // protons --> not reliable, use PATTERN RECOGNITION TH2D * histProtonTPC = hist->Projection(1,0); histProtonTPC->SetName("histProtonTPC"); histProtonTPC->GetXaxis()->SetRangeUser(0.15,0.7); histProtonTPC->GetYaxis()->SetRangeUser(50, hist->GetAxis(1)->GetBinUpEdge(hist->GetAxis(1)->GetNbins())); // PATTERN RECOGNITION //OLD TF1 betaSq("betaSq","50./TMath::Power(x,1.3)",0.1,10); // Add some additional Erf - cuts away kaons for pPb and PbPb and does not hurt in pp TF1 betaSq("betaSq","50./TMath::Power(x,1.3) + (1-TMath::Erf((x-0.2) / 0.075)) * 100",0.1,10); for(Int_t ix = 1; ix <= histProtonTPC->GetXaxis()->GetNbins(); ix++) { for(Int_t jy = 1; jy <= histProtonTPC->GetYaxis()->GetNbins(); jy++) { Float_t yPos = histProtonTPC->GetYaxis()->GetBinCenter(jy); Float_t xPos = histProtonTPC->GetXaxis()->GetBinCenter(ix); Int_t bin = histProtonTPC->GetBin(ix,jy); if (yPos < betaSq.Eval(xPos)) histProtonTPC->SetBinContent(bin,0); } } // //TODO Use likelihood option -> Inside fitting range ~no contamination, but little statistics at low momenta requires L FitSlicesY(histProtonTPC, heightFractionForFittingRange, cutForFitting, "QNRL", &arr); TH1D * protonPointsTPC = (TH1D *) arr.At(1)->Clone(); // TGraphErrors * protonTpcGraph = new TGraphErrors(protonPointsTPC); protonTpcGraph->SetName("protonTpcGraph"); for(Int_t ip = 0; ip < protonTpcGraph->GetN(); ip ++) { Bool_t removePoint = protonTpcGraph->GetY()[ip] < 10 || protonTpcGraph->GetEY()[ip]/protonTpcGraph->GetY()[ip] > 0.05 // TODO Larger tolerance, since this is only for the correction function, where 5% are still better than no data point || protonTpcGraph->GetX()[ip] > (useV0s ? (isPPb ? 0.499 : 0.349) : 0.649); // If V0s are to be used, don't use TPC only protons to too high momenta; for pPb low statistics for the moment, therefore, go a bit further with TPC protons //TODO NOW -> Changed range of TPC-signal -> Hopefully, sufficient statistics now for very low momenta!|| protonTpcGraph->GetX()[ip] < 0.19; // Added this cut because almost always bad statistics below 0.19 if (removePoint) { protonTpcGraph->RemovePoint(ip); ip--; continue; } } // hist->GetAxis(5)->SetRangeUser(-2.999,2.999); // 3sigma in TOF TH2D * histProtonTOF = hist->Projection(1,0); histProtonTOF->SetName("histProtonTOF"); histProtonTOF->GetXaxis()->SetRangeUser(0.6,2.5); // Same pattern recognition as before for(Int_t ix = 1; ix <= histProtonTOF->GetXaxis()->GetNbins(); ix++) { for(Int_t jy = 1; jy <= histProtonTOF->GetYaxis()->GetNbins(); jy++) { Float_t yPos = histProtonTOF->GetYaxis()->GetBinCenter(jy); Float_t xPos = histProtonTOF->GetXaxis()->GetBinCenter(ix); Int_t bin = histProtonTOF->GetBin(ix,jy); if (yPos < betaSq.Eval(xPos)) histProtonTOF->SetBinContent(bin,0); } } FitSlicesY(histProtonTOF, heightFractionForFittingRange, cutForFitting, "QNR", &arr); TH1D * protonPointsTOF = (TH1D *)arr.At(1)->Clone(); // TGraphErrors * protonTofGraph = new TGraphErrors(protonPointsTOF); protonTofGraph->SetName("protonTofGraph"); for(Int_t ip = 0; ip < protonTofGraph->GetN(); ip ++) { // If V0s are to be used, TPC+TOF protons are only for reference and can be plotted to higher momenta Bool_t removePoint = protonTofGraph->GetY()[ip] < 10 || protonTofGraph->GetEY()[ip]/protonTofGraph->GetY()[ip] > 0.02 || protonTofGraph->GetX()[ip] > (useV0s ? 3 : 2) || protonTofGraph->GetX()[ip] < 0.65; if (removePoint) { protonTofGraph->RemovePoint(ip); ip--; continue; } } // canvasQAtpc->cd(2); histProtonTPC->SetTitle("protons"); histProtonTPC->GetXaxis()->SetTitle(momTitle.Data()); histProtonTPC->GetYaxis()->SetTitle(dEdxTitle.Data()); histProtonTPC->GetXaxis()->SetMoreLogLabels(kTRUE); histProtonTPC->GetXaxis()->SetNoExponent(kTRUE); histProtonTPC->Draw("colz"); betaSq.DrawCopy("same"); protonPointsTPC->SetMarkerStyle(20); protonPointsTOF->SetMarkerStyle(24); protonPointsTOF->Draw("same"); protonPointsTPC->Draw("same"); // protonTpcGraph->SetMarkerStyle(26); protonTpcGraph->SetMarkerColor(kMagenta); protonTpcGraph->DrawClone("p"); protonTofGraph->SetMarkerStyle(25); protonTofGraph->SetMarkerColor(kMagenta); protonTofGraph->DrawClone("p"); canvasQAtof->cd(2); histProtonTOF->SetTitle("protons"); histProtonTOF->GetYaxis()->SetRangeUser(30, 250); histProtonTOF->GetXaxis()->SetTitle(momTitle.Data()); histProtonTOF->GetYaxis()->SetTitle(dEdxTitle.Data()); histProtonTOF->GetXaxis()->SetMoreLogLabels(kTRUE); histProtonTOF->GetXaxis()->SetNoExponent(kTRUE); histProtonTOF->Draw("colz"); betaSq.DrawCopy("same"); protonPointsTOF->Draw("same"); protonPointsTPC->Draw("same"); // protonTpcGraph->DrawClone("p"); protonTofGraph->DrawClone("p"); hist->GetAxis(4)->SetRange(0,-1); // RESET RANGES hist->GetAxis(5)->SetRange(0,-1); // RESET RANGES // // 3. pions // hist->GetAxis(2)->SetRangeUser(0,0); // Non-V0s hist->GetAxis(3)->SetRangeUser(1,1); // pions // Double_t lowerPionThreshold = 0.3; hist->GetAxis(4)->SetRangeUser(nSigmaPionMinus,nSigmaPionPlus); // pions TH2D * histPionTPC = hist->Projection(1,0); histPionTPC->SetName("histPionTPC"); histPionTPC->GetXaxis()->SetRangeUser(0.15,0.7); FitSlicesY(histPionTPC, heightFractionForFittingRange, cutForFitting, "QNR", &arr); // In case of really bad splines comment last 5 lines and use the following 6 lines: //TH2D * histPionTPC = hist->Projection(1,0); //histPionTPC->SetName("histPionTPC"); //histPionTPC->GetYaxis()->SetRangeUser(30,100); //histPionTPC->GetXaxis()->SetRangeUser(0.15,0.7); //FitSlicesY(histPionTPC, heightFractionForFittingRange, cutForFitting, "QNR", &arr); //lowerPionThreshold = 0.15; TH1D * pionPointsTPC = (TH1D *) arr.At(1)->Clone(); // TGraphErrors * pionTpcGraph = new TGraphErrors(pionPointsTPC); pionTpcGraph->SetName("pionTpcGraph"); for(Int_t ip = 0; ip < pionTpcGraph->GetN(); ip ++) { Bool_t removePoint = pionTpcGraph->GetY()[ip] < 10 || pionTpcGraph->GetEY()[ip]/pionTpcGraph->GetY()[ip] > 0.02 || pionTpcGraph->GetX()[ip] > 0.5 || pionTpcGraph->GetX()[ip] < lowerPionThreshold; // Exclude contamination by electrons if (removePoint) { pionTpcGraph->RemovePoint(ip); ip--; continue; } } // hist->GetAxis(5)->SetRangeUser(-2.999,2.999); // 3sigma in TOF TH2D * histPionTOF = hist->Projection(1,0); histPionTOF->SetName("histPionTOF"); histPionTOF->GetXaxis()->SetRangeUser(0.5,1.1); FitSlicesY(histPionTOF, heightFractionForFittingRange, cutForFitting, "QNR", &arr); TH1D * pionPointsTOF = (TH1D *) arr.At(1)->Clone(); TGraphErrors * pionTofGraph = new TGraphErrors(pionPointsTOF); pionTofGraph->SetName("pionTofGraph"); for(Int_t ip = 0; ip < pionTofGraph->GetN(); ip ++) { Bool_t removePoint = pionTofGraph->GetY()[ip] < 10 || pionTofGraph->GetEY()[ip]/pionTofGraph->GetY()[ip] > 0.02 || pionTofGraph->GetX()[ip] > 1.1 || pionTofGraph->GetX()[ip] < 0.5; // Changed by Ben (was 0.35) to avoid problems with TOF efficiency/systematics if (removePoint) { pionTofGraph->RemovePoint(ip); ip--; continue; } } canvasQAtpc->cd(3); histPionTPC->GetYaxis()->SetRangeUser(30, 90); histPionTPC->SetTitle("pions"); histPionTPC->GetXaxis()->SetTitle(momTitle.Data()); histPionTPC->GetYaxis()->SetTitle(dEdxTitle.Data()); histPionTPC->GetXaxis()->SetMoreLogLabels(kTRUE); histPionTPC->GetXaxis()->SetNoExponent(kTRUE); histPionTPC->Draw("colz"); pionPointsTPC->SetMarkerStyle(20); pionPointsTOF->SetMarkerStyle(24); pionPointsTOF->Draw("same"); pionPointsTPC->Draw("same"); // pionTpcGraph->SetMarkerStyle(26); pionTpcGraph->SetMarkerColor(kMagenta); pionTpcGraph->DrawClone("p"); pionTofGraph->SetMarkerStyle(25); pionTofGraph->SetMarkerColor(kMagenta); pionTofGraph->DrawClone("p"); canvasQAtof->cd(3); histPionTOF->GetYaxis()->SetRangeUser(30, 80); histPionTOF->GetXaxis()->SetTitle(momTitle.Data()); histPionTOF->GetYaxis()->SetTitle(dEdxTitle.Data()); histPionTOF->GetXaxis()->SetMoreLogLabels(kTRUE); histPionTOF->GetXaxis()->SetNoExponent(kTRUE); histPionTOF->Draw("colz"); histPionTOF->SetTitle("pions"); pionPointsTOF->Draw("same"); pionPointsTPC->Draw("same"); // pionTpcGraph->DrawClone("p"); pionTofGraph->DrawClone("p"); hist->GetAxis(4)->SetRange(0,-1); // RESET RANGES hist->GetAxis(5)->SetRange(0,-1); // RESET RANGES // // 4. kaons // hist->GetAxis(2)->SetRangeUser(0,0); // Non-V0s hist->GetAxis(3)->SetRangeUser(2,2); // kaons // hist->GetAxis(4)->SetRangeUser(nSigmaKaonMinus,nSigmaKaonPlus); // kaons TH2D * histKaonTPC = hist->Projection(1,0); histKaonTPC->SetName("histKaonTPC"); histKaonTPC->GetXaxis()->SetRangeUser(0.12,0.6999); FitSlicesY(histKaonTPC, heightFractionForFittingRange, cutForFitting, "QNR", &arr); TH1D * kaonPointsTPC = (TH1D*) arr.At(1)->Clone(); // TGraphErrors * kaonTpcGraph = new TGraphErrors(kaonPointsTPC); kaonTpcGraph->SetName("kaonTpcGraph"); for(Int_t ip = 0; ip < kaonTpcGraph->GetN(); ip ++) { Bool_t removePoint = kaonTpcGraph->GetY()[ip] < 10 || kaonTpcGraph->GetEY()[ip]/kaonTpcGraph->GetY()[ip] > 0.02 || kaonTpcGraph->GetX()[ip] < 0.12 || kaonTpcGraph->GetX()[ip] > 0.319; //TODO BEN was > 0.399 if (removePoint) { kaonTpcGraph->RemovePoint(ip); ip--; continue; } } // hist->GetAxis(5)->SetRangeUser(-2.999,2.999); // sigma in TOF /* hist->GetAxis(5)->SetRangeUser(-1.999,1.999); // sigma in TOF if (hist->GetAxis(3)->GetNbins() >= 5) { printf("Using restricted eta range for TPC+TOF Kaons!\n"); hist->GetAxis(3)->SetRangeUser(4,4); } else { printf("WARNING: Data points for restricted eta range for TPC+TOF Kaons not available! Using full eta range (worse w.r.t. contamination)\n"); }*/ TH2D * histKaonTOF = hist->Projection(1,0); histKaonTOF->SetName("histKaonTOF"); histKaonTOF->GetXaxis()->SetRangeUser(0.3,1.5); FitSlicesY(histKaonTOF, heightFractionForFittingRange, cutForFitting, "QNR", &arr); TH1D * kaonPointsTOF = (TH1D*) arr.At(1)->Clone(); // TGraphErrors * kaonTofGraph = new TGraphErrors(kaonPointsTOF); kaonTofGraph->SetName("kaonTofGraph"); // for(Int_t ip = 0; ip < kaonTofGraph->GetN(); ip ++) { Bool_t removePoint = kaonTofGraph->GetY()[ip] < 10 || kaonTofGraph->GetEY()[ip]/kaonTofGraph->GetY()[ip] > 0.02 || kaonTofGraph->GetX()[ip] > 1.0 || kaonTofGraph->GetX()[ip] < 0.36; //TODO BEN NOW was 0.5 if (removePoint) { kaonTofGraph->RemovePoint(ip); ip--; continue; } } // canvasQAtpc->cd(4); histKaonTPC->SetTitle("kaons"); histKaonTPC->GetYaxis()->SetRangeUser(30, 500); histKaonTPC->GetXaxis()->SetTitle(momTitle.Data()); histKaonTPC->GetYaxis()->SetTitle(dEdxTitle.Data()); histKaonTPC->GetXaxis()->SetMoreLogLabels(kTRUE); histKaonTPC->GetXaxis()->SetNoExponent(kTRUE); histKaonTPC->Draw("colz"); kaonPointsTPC->SetMarkerStyle(20); kaonPointsTOF->SetMarkerStyle(24); kaonPointsTOF->Draw("same"); kaonPointsTPC->Draw("same"); // kaonTpcGraph->SetMarkerStyle(26); kaonTpcGraph->SetMarkerColor(kMagenta); kaonTpcGraph->DrawClone("p"); kaonTofGraph->SetMarkerStyle(25); kaonTofGraph->SetMarkerColor(kMagenta); kaonTofGraph->DrawClone("p"); canvasQAtof->cd(4); histKaonTOF->GetYaxis()->SetRangeUser(30, 250); histKaonTOF->SetTitle("kaons"); histKaonTOF->GetXaxis()->SetTitle(momTitle.Data()); histKaonTOF->GetYaxis()->SetTitle(dEdxTitle.Data()); histKaonTOF->GetXaxis()->SetMoreLogLabels(kTRUE); histKaonTOF->GetXaxis()->SetNoExponent(kTRUE); histKaonTOF->Draw("colz"); kaonPointsTOF->Draw("same"); kaonPointsTPC->Draw("same"); kaonTpcGraph->DrawClone("p"); kaonTofGraph->DrawClone("p"); hist->GetAxis(4)->SetRange(0,-1); // RESET RANGES hist->GetAxis(5)->SetRange(0,-1); // RESET RANGES // // 5. V0 electrons // hist->GetAxis(2)->SetRangeUser(1,1); // V0 electrons hist->GetAxis(3)->SetRangeUser(0,0); // electrons // TH2D * histElectronV0 = hist->Projection(1,0); histElectronV0->SetName("histElectronV0"); //histElectronV0->RebinX(2); histElectronV0->GetXaxis()->SetRangeUser(0.15,5.0); FitSlicesY(histElectronV0, heightFractionForFittingRange, cutForFitting, "QNR", &arr); TH1D * electronPointsV0 = (TH1D*) arr.At(1)->Clone(); // TGraphErrors * electronV0Graph = new TGraphErrors(electronPointsV0); electronV0Graph->SetName("electronV0Graph"); for(Int_t ip = 0; ip < electronV0Graph->GetN(); ip ++) { Bool_t removePoint = electronV0Graph->GetY()[ip] < 10 || electronV0Graph->GetEY()[ip]/electronV0Graph->GetY()[ip] > 0.02; if (removePoint) { electronV0Graph->RemovePoint(ip); ip--; continue; } } // canvasQAv0->cd(1); histElectronV0->SetTitle("V0 electrons"); histElectronV0->GetYaxis()->SetRangeUser(50, 120); histElectronV0->GetXaxis()->SetTitle(momTitle.Data()); histElectronV0->GetYaxis()->SetTitle(dEdxTitle.Data()); histElectronV0->GetXaxis()->SetMoreLogLabels(kTRUE); histElectronV0->GetXaxis()->SetNoExponent(kTRUE); histElectronV0->SetStats(0); histElectronV0->Draw("colz"); electronPointsV0->SetMarkerStyle(34); electronPointsV0->Draw("same"); electronGraph->SetMarkerStyle(25); electronGraph->SetMarkerColor(kMagenta); electronGraph->DrawClone("p"); canvasQAv0DeDxPurityEl->cd(); gStyle->SetOptTitle(0); TH1D* hElNew = (TH1D*)histElectronV0->DrawClone("colz"); hElNew->GetXaxis()->SetTitleOffset(1.0); hElNew->SetTitle(""); electronPointsV0->DrawClone("same"); gStyle->SetOptTitle(1); canvasQAtof->cd(1); electronV0Graph->SetMarkerStyle(24); electronV0Graph->SetMarkerColor(kMagenta); electronV0Graph->DrawClone("p"); // // 6. V0 pions // hist->GetAxis(2)->SetRangeUser(2,2); // V0 pions hist->GetAxis(3)->SetRangeUser(1,1); // pions // TH2D * histPionV0 = hist->Projection(1,0); histPionV0->SetName("histPionV0"); histPionV0->GetXaxis()->SetRangeUser(0.15,10.); FitSlicesY(histPionV0, heightFractionForFittingRange, cutForFitting, "QNR", &arr); TH1D * pionPointsV0 = (TH1D*) arr.At(1)->Clone(); // TGraphErrors * pionV0Graph = new TGraphErrors(pionPointsV0); pionV0Graph->SetName("pionV0Graph"); for(Int_t ip = 0; ip < pionV0Graph->GetN(); ip ++) { Bool_t removePoint = pionV0Graph->GetY()[ip] < 10 || pionV0Graph->GetEY()[ip]/pionV0Graph->GetY()[ip] > 0.02; if (removePoint) { pionV0Graph->RemovePoint(ip); ip--; continue; } } // canvasQAv0->cd(3); histPionV0->SetTitle("V0 pions"); histPionV0->GetYaxis()->SetRangeUser(30, 100); histPionV0->GetXaxis()->SetTitle(momTitle.Data()); histPionV0->GetYaxis()->SetTitle(dEdxTitle.Data()); histPionV0->GetXaxis()->SetMoreLogLabels(kTRUE); histPionV0->GetXaxis()->SetNoExponent(kTRUE); histPionV0->Draw("colz"); pionPointsV0->SetMarkerStyle(34); pionPointsV0->Draw("same"); pionTofGraph->DrawClone("p"); pionTpcGraph->DrawClone("p"); canvasQAv0DeDxPurityPi->cd(); gStyle->SetOptTitle(0); TH1D* hPiNew = (TH1D*)histPionV0->DrawClone("colz"); hPiNew->GetXaxis()->SetTitleOffset(1.0); hPiNew->SetTitle(""); pionPointsV0->DrawClone("same"); gStyle->SetOptTitle(1); canvasQAtof->cd(3); pionV0Graph->SetMarkerStyle(24); pionV0Graph->SetMarkerColor(kMagenta); pionV0Graph->DrawClone("p"); canvasQAtpc->cd(3); pionV0Graph->DrawClone("p"); // // 6. V0 protons // hist->GetAxis(2)->SetRangeUser(3,3); // V0 protons hist->GetAxis(3)->SetRangeUser(3,3); // protons // TH2D * histProtonV0 = hist->Projection(1,0); histProtonV0->SetName("histProtonV0"); histProtonV0->GetXaxis()->SetRangeUser(0.15,10.); // Remove contamination due to el and pions and low momenta because there the statistics // for the V0 protons goes down and becomes comparable with the contamination // -> This spoils the fit, if the contamination is not removed // PATTERN RECOGNITION Int_t correctionUpToBin = histProtonV0->GetXaxis()->FindBin(0.6); for(Int_t ix = 1; ix <= correctionUpToBin; ix++) { for(Int_t jy = 1; jy <= histProtonV0->GetYaxis()->GetNbins(); jy++) { Float_t yPos = histProtonV0->GetYaxis()->GetBinCenter(jy); Float_t xPos = histProtonV0->GetXaxis()->GetBinCenter(ix); Int_t bin = histProtonV0->GetBin(ix,jy); if (yPos < betaSq.Eval(xPos)) histProtonV0->SetBinContent(bin,0); } } /* Int_t correctionUpToBin = histProtonV0->GetXaxis()->FindBin(0.4); Double_t threshold = 120.; for(Int_t ix = 1; ix <= correctionUpToBin; ix++) { for(Int_t jy = 1; jy <= histProtonV0->GetYaxis()->GetNbins(); jy++) { Float_t yPos = histProtonV0->GetYaxis()->GetBinCenter(jy); Int_t bin = histProtonV0->GetBin(ix,jy); if (yPos < threshold) histProtonV0->SetBinContent(bin,0); else break; } } */ FitSlicesY(histProtonV0, heightFractionForFittingRange, cutForFitting, "QNR", &arr); TH1D * protonPointsV0 = (TH1D*) arr.At(1)->Clone(); // TGraphErrors * protonV0Graph = new TGraphErrors(protonPointsV0); protonV0Graph->SetName("protonV0Graph"); for(Int_t ip = 0; ip < protonV0Graph->GetN(); ip ++) { Bool_t removePoint = protonV0Graph->GetY()[ip] < 10 || protonV0Graph->GetEY()[ip]/protonV0Graph->GetY()[ip] > 0.02; if (removePoint) { protonV0Graph->RemovePoint(ip); ip--; continue; } } // canvasQAv0->cd(2); histProtonV0->SetTitle("V0 protons"); histProtonV0->GetXaxis()->SetTitle(momTitle.Data()); histProtonV0->GetYaxis()->SetTitle(dEdxTitle.Data()); histProtonV0->GetXaxis()->SetMoreLogLabels(kTRUE); histProtonV0->GetXaxis()->SetNoExponent(kTRUE); histProtonV0->Draw("colz"); protonPointsV0->SetMarkerStyle(34); protonPointsV0->Draw("same"); protonTofGraph->DrawClone("p"); protonTpcGraph->DrawClone("p"); canvasQAv0DeDxPurityPr->cd(); gStyle->SetOptTitle(0); TH1D* hPrNew = (TH1D*)histProtonV0->DrawClone("colz"); hPrNew->GetXaxis()->SetTitleOffset(1.0); hPrNew->SetTitle(""); protonPointsV0->DrawClone("same"); gStyle->SetOptTitle(1); canvasQAtof->cd(2); protonV0Graph->SetMarkerStyle(24); protonV0Graph->SetMarkerColor(kMagenta); protonV0Graph->DrawClone("p"); canvasQAtpc->cd(2); protonV0Graph->DrawClone("p"); hist->GetAxis(2)->SetRange(0,-1); // RESET RANGES hist->GetAxis(3)->SetRange(0,-1); // RESET RANGES // // 5. V0 electrons + TOF // hist->GetAxis(2)->SetRangeUser(1,1); // V0 electrons hist->GetAxis(3)->SetRangeUser(0,0); // electrons hist->GetAxis(5)->SetRangeUser(-2.999,2.999); // 3sigma in TOF // TH2D * histElectronV0plusTOF = hist->Projection(1,0); histElectronV0plusTOF->SetName("histElectronV0plusTOF"); histElectronV0plusTOF->RebinX(2); histElectronV0plusTOF->GetXaxis()->SetRangeUser(0.2,5.0); FitSlicesY(histElectronV0plusTOF, heightFractionForFittingRange, cutForFitting, "QNR", &arr); TH1D * electronPointsV0plusTOF = (TH1D*) arr.At(1)->Clone(); // TGraphErrors * electronV0plusTOFGraph = new TGraphErrors(electronPointsV0plusTOF); electronV0plusTOFGraph->SetName("electronV0plusTOFGraph"); for(Int_t ip = 0; ip < electronV0plusTOFGraph->GetN(); ip ++) { Bool_t removePoint = electronV0plusTOFGraph->GetY()[ip] < 10 || electronV0plusTOFGraph->GetEY()[ip]/electronV0plusTOFGraph->GetY()[ip] > 0.02; if (removePoint) { electronV0plusTOFGraph->RemovePoint(ip); ip--; continue; } } // canvasQAv0plusTOF->cd(1); histElectronV0plusTOF->SetTitle("V0+TOF electrons"); histElectronV0plusTOF->GetYaxis()->SetRangeUser(50, 120); histElectronV0plusTOF->GetXaxis()->SetTitle(momTitle.Data()); histElectronV0plusTOF->GetYaxis()->SetTitle(dEdxTitle.Data()); histElectronV0plusTOF->GetXaxis()->SetMoreLogLabels(kTRUE); histElectronV0plusTOF->GetXaxis()->SetNoExponent(kTRUE); histElectronV0plusTOF->Draw("colz"); electronPointsV0plusTOF->SetMarkerStyle(29); electronPointsV0plusTOF->Draw("same"); electronGraph->DrawClone("p"); electronV0Graph->DrawClone("p"); canvasQAv0->cd(1); electronV0plusTOFGraph->SetMarkerStyle(30); electronV0plusTOFGraph->SetMarkerColor(kMagenta); electronV0plusTOFGraph->DrawClone("p"); canvasQAtof->cd(1); electronV0plusTOFGraph->DrawClone("p"); // // 6. V0 pions + TOF // hist->GetAxis(2)->SetRangeUser(2,2); // V0 pions hist->GetAxis(3)->SetRangeUser(1,1); // pions hist->GetAxis(5)->SetRangeUser(-2.999,2.999); // 3sigma in TOF // TH2D * histPionV0plusTOF = hist->Projection(1,0); histPionV0plusTOF->SetName("histPionV0plusTOF"); histPionV0plusTOF->GetXaxis()->SetRangeUser(0.15,10.); FitSlicesY(histPionV0plusTOF, heightFractionForFittingRange, cutForFitting, "QNR", &arr); TH1D * pionPointsV0plusTOF = (TH1D*) arr.At(1)->Clone(); // TGraphErrors * pionV0plusTOFGraph = new TGraphErrors(pionPointsV0plusTOF); pionV0plusTOFGraph->SetName("pionV0plusTOFGraph"); for(Int_t ip = 0; ip < pionV0plusTOFGraph->GetN(); ip ++) { Bool_t removePoint = pionV0plusTOFGraph->GetY()[ip] < 10 || pionV0plusTOFGraph->GetEY()[ip]/pionV0plusTOFGraph->GetY()[ip] > 0.02; if (removePoint) { pionV0plusTOFGraph->RemovePoint(ip); ip--; continue; } } // canvasQAv0plusTOF->cd(3); histPionV0plusTOF->SetTitle("V0+TOF pions"); histPionV0plusTOF->GetYaxis()->SetRangeUser(30, 100); histPionV0plusTOF->GetXaxis()->SetTitle(momTitle.Data()); histPionV0plusTOF->GetYaxis()->SetTitle(dEdxTitle.Data()); histPionV0plusTOF->GetXaxis()->SetMoreLogLabels(kTRUE); histPionV0plusTOF->GetXaxis()->SetNoExponent(kTRUE); histPionV0plusTOF->Draw("colz"); pionPointsV0plusTOF->SetMarkerStyle(29); pionPointsV0plusTOF->Draw("same"); pionV0Graph->DrawClone("p"); pionTofGraph->DrawClone("p"); pionTpcGraph->DrawClone("p"); canvasQAv0->cd(3); pionV0plusTOFGraph->SetMarkerStyle(30); pionV0plusTOFGraph->SetMarkerColor(kMagenta); pionV0plusTOFGraph->DrawClone("p"); canvasQAtof->cd(3); pionV0plusTOFGraph->DrawClone("p"); canvasQAtpc->cd(3); pionV0plusTOFGraph->DrawClone("p"); // // 6. V0 protons + TOF // hist->GetAxis(2)->SetRangeUser(3,3); // V0 protons hist->GetAxis(3)->SetRangeUser(3,3); // protons hist->GetAxis(5)->SetRangeUser(-2.999,2.999); // 3sigma in TOF // TH2D * histProtonV0plusTOF = hist->Projection(1,0); histProtonV0plusTOF->SetName("histProtonV0plusTOF"); histProtonV0plusTOF->GetXaxis()->SetRangeUser(0.15,10.); // Remove contamination due to el and pions and low momenta because there the statistics // for the V0 protons goes down and becomes comparable with the contamination // -> This spoils the fit, if the contamination is not removed // PATTERN RECOGNITION correctionUpToBin = histProtonV0plusTOF->GetXaxis()->FindBin(0.6); for(Int_t ix = 1; ix <= correctionUpToBin; ix++) { for(Int_t jy = 1; jy <= histProtonV0plusTOF->GetYaxis()->GetNbins(); jy++) { Float_t yPos = histProtonV0plusTOF->GetYaxis()->GetBinCenter(jy); Float_t xPos = histProtonV0plusTOF->GetXaxis()->GetBinCenter(ix); Int_t bin = histProtonV0plusTOF->GetBin(ix,jy); if (yPos < betaSq.Eval(xPos)) histProtonV0plusTOF->SetBinContent(bin,0); } } FitSlicesY(histProtonV0plusTOF, heightFractionForFittingRange, cutForFitting, "QNR", &arr); TH1D * protonPointsV0plusTOF = (TH1D*) arr.At(1)->Clone(); // TGraphErrors * protonV0plusTOFGraph = new TGraphErrors(protonPointsV0plusTOF); protonV0plusTOFGraph->SetName("protonV0plusTOFGraph"); for(Int_t ip = 0; ip < protonV0plusTOFGraph->GetN(); ip ++) { Bool_t removePoint = protonV0plusTOFGraph->GetY()[ip] < 10 || protonV0plusTOFGraph->GetEY()[ip]/protonV0plusTOFGraph->GetY()[ip] > 0.02; if (removePoint) { protonV0plusTOFGraph->RemovePoint(ip); ip--; continue; } } // canvasQAv0plusTOF->cd(2); histProtonV0plusTOF->SetTitle("V0+TOF protons"); histProtonV0plusTOF->GetXaxis()->SetTitle(momTitle.Data()); histProtonV0plusTOF->GetYaxis()->SetTitle(dEdxTitle.Data()); histProtonV0plusTOF->GetXaxis()->SetMoreLogLabels(kTRUE); histProtonV0plusTOF->GetXaxis()->SetNoExponent(kTRUE); histProtonV0plusTOF->Draw("colz"); protonPointsV0plusTOF->SetMarkerStyle(29); protonPointsV0plusTOF->Draw("same"); protonV0Graph->DrawClone("p"); protonTofGraph->DrawClone("p"); protonTpcGraph->DrawClone("p"); canvasQAv0->cd(2); protonV0plusTOFGraph->SetMarkerStyle(30); protonV0plusTOFGraph->SetMarkerColor(kMagenta); protonV0plusTOFGraph->DrawClone("p"); canvasQAtof->cd(2); protonV0plusTOFGraph->DrawClone("p"); canvasQAtpc->cd(2); protonV0plusTOFGraph->DrawClone("p"); hist->GetAxis(2)->SetRange(0,-1); // RESET RANGES hist->GetAxis(3)->SetRange(0,-1); // RESET RANGES hist->GetAxis(5)->SetRange(0,-1); // RESET RANGES // Clone (V0, V0+TOF) graphs: Remove some points, which are expected to deviate from the Bethe-Bloch curve, from the original graphs, so that // these graphs can be used for the BB fit. The original graph will keep all point in order to determine the correction and response // functions TGraphErrors * electronV0GraphForBBfit = new TGraphErrors(*electronV0Graph); electronV0GraphForBBfit->SetName("electronV0GraphForBBfit"); for(Int_t ip = 0; ip < electronV0GraphForBBfit->GetN(); ip ++) { Bool_t removePoint = electronV0GraphForBBfit->GetX()[ip] < (isPPb ? 1.2 : 0.4);// || electronV0GraphForBBfit->GetX()[ip] > 2.2; if (removePoint) { electronV0GraphForBBfit->RemovePoint(ip); ip--; continue; } } TGraphErrors * pionV0GraphForBBfit = new TGraphErrors(*pionV0Graph); pionV0GraphForBBfit->SetName("pionV0GraphForBBfit"); for(Int_t ip = 0; ip < pionV0GraphForBBfit->GetN(); ip ++) { Bool_t removePoint = pionV0GraphForBBfit->GetX()[ip] < (isPPb ? 1.0 : 0.76);// || pionV0GraphForBBfit->GetX()[ip] > 6.; //TODO NOW was < 0.4 before //Bool_t removePoint = pionV0GraphForBBfit->GetX()[ip] < 0.4 || pionV0GraphForBBfit->GetX()[ip] > 0.399;// In this case NOT used for BB fit if (removePoint) { pionV0GraphForBBfit->RemovePoint(ip); ip--; continue; } } TGraphErrors * protonV0GraphForBBfit = new TGraphErrors(*protonV0Graph); protonV0GraphForBBfit->SetName("protonV0GraphForBBfit"); for(Int_t ip = 0; ip < protonV0GraphForBBfit->GetN(); ip ++) { Bool_t removePoint = protonV0GraphForBBfit->GetX()[ip] < 0.9 || protonV0GraphForBBfit->GetX()[ip] > 5.0; //TODO NOW was 2.5 before //Bool_t removePoint = protonV0GraphForBBfit->GetX()[ip] < 0.9 || protonV0GraphForBBfit->GetX()[ip] > 0.599;// In this case NOT used for BB fit if (removePoint) { protonV0GraphForBBfit->RemovePoint(ip); ip--; continue; } } // V0 plus TOF TGraphErrors * electronV0plusTOFGraphForBBfit = new TGraphErrors(*electronV0plusTOFGraph); electronV0plusTOFGraphForBBfit->SetName("electronV0plusTOFGraphForBBfit"); for(Int_t ip = 0; ip < electronV0plusTOFGraphForBBfit->GetN(); ip ++) { Bool_t removePoint = electronV0plusTOFGraphForBBfit->GetX()[ip] < (isPPb ? 1.2 : 0.6);//0.4 || electronV0plusTOFGraphForBBfit->GetX()[ip] > 1.3799; if (removePoint) { electronV0plusTOFGraphForBBfit->RemovePoint(ip); ip--; continue; } } TGraphErrors * pionV0plusTOFGraphForBBfit = new TGraphErrors(*pionV0plusTOFGraph); pionV0plusTOFGraphForBBfit->SetName("pionV0plusTOFGraphForBBfit"); for(Int_t ip = 0; ip < pionV0plusTOFGraphForBBfit->GetN(); ip ++) { Bool_t removePoint = pionV0plusTOFGraphForBBfit->GetX()[ip] < 0.4;// || pionV0plusTOFGraphForBBfit->GetX()[ip] > 6.; if (removePoint) { pionV0plusTOFGraphForBBfit->RemovePoint(ip); ip--; continue; } } TGraphErrors * protonV0plusTOFGraphForBBfit = new TGraphErrors(*protonV0plusTOFGraph); protonV0plusTOFGraphForBBfit->SetName("protonV0plusTOFGraphForBBfit"); for(Int_t ip = 0; ip < protonV0plusTOFGraphForBBfit->GetN(); ip ++) { Bool_t removePoint = protonV0plusTOFGraphForBBfit->GetX()[ip] < 0.9 || protonV0plusTOFGraphForBBfit->GetX()[ip] > 2.5; if (removePoint) { protonV0plusTOFGraphForBBfit->RemovePoint(ip); ip--; continue; } } // // rescale graphs to betaGamma // kaonTofGraph->SetMarkerStyle(21); kaonTpcGraph->SetMarkerStyle(22); for(Int_t ip = 0; ip < kaonTofGraph->GetN(); ip ++) { kaonTofGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kKaon); kaonTofGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kKaon); } for(Int_t ip = 0; ip < kaonTpcGraph->GetN(); ip ++) { kaonTpcGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kKaon); kaonTpcGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kKaon); } // electronGraph->SetMarkerStyle(22); electronV0Graph->SetMarkerStyle(34); electronV0GraphForBBfit->SetMarkerStyle(34); electronV0plusTOFGraph->SetMarkerStyle(30); electronV0plusTOFGraphForBBfit->SetMarkerStyle(30); electronGraph->SetMarkerColor(2); electronV0Graph->SetMarkerColor(2); electronV0GraphForBBfit->SetMarkerColor(2); electronV0plusTOFGraph->SetMarkerColor(2); electronV0plusTOFGraphForBBfit->SetMarkerColor(2); for(Int_t ip = 0; ip < electronGraph->GetN(); ip ++) { electronGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); electronGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); } for(Int_t ip = 0; ip < electronV0Graph->GetN(); ip ++) { electronV0Graph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); electronV0Graph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); } for(Int_t ip = 0; ip < electronV0GraphForBBfit->GetN(); ip ++) { electronV0GraphForBBfit->GetX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); electronV0GraphForBBfit->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); } for(Int_t ip = 0; ip < electronV0plusTOFGraph->GetN(); ip ++) { electronV0plusTOFGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); electronV0plusTOFGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); } for(Int_t ip = 0; ip < electronV0plusTOFGraphForBBfit->GetN(); ip ++) { electronV0plusTOFGraphForBBfit->GetX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); electronV0plusTOFGraphForBBfit->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); } // pionTofGraph->SetMarkerStyle(21); pionTpcGraph->SetMarkerStyle(22); pionV0Graph->SetMarkerStyle(34); pionV0GraphForBBfit->SetMarkerStyle(34); pionV0plusTOFGraph->SetMarkerStyle(30); pionV0plusTOFGraphForBBfit->SetMarkerStyle(30); pionTofGraph->SetMarkerColor(3); pionTpcGraph->SetMarkerColor(3); pionV0Graph->SetMarkerColor(3); pionV0GraphForBBfit->SetMarkerColor(3); pionV0plusTOFGraph->SetMarkerColor(3); pionV0plusTOFGraphForBBfit->SetMarkerColor(3); for(Int_t ip = 0; ip < pionTofGraph->GetN(); ip ++) { pionTofGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kPion); pionTofGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kPion); } for(Int_t ip = 0; ip < pionTpcGraph->GetN(); ip ++) { pionTpcGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kPion); pionTpcGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kPion); } for(Int_t ip = 0; ip < pionV0Graph->GetN(); ip ++) { pionV0Graph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kPion); pionV0Graph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kPion); } for(Int_t ip = 0; ip < pionV0GraphForBBfit->GetN(); ip ++) { pionV0GraphForBBfit->GetX()[ip] /= AliPID::ParticleMass(AliPID::kPion); pionV0GraphForBBfit->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kPion); } for(Int_t ip = 0; ip < pionV0plusTOFGraph->GetN(); ip ++) { pionV0plusTOFGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kPion); pionV0plusTOFGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kPion); } for(Int_t ip = 0; ip < pionV0plusTOFGraphForBBfit->GetN(); ip ++) { pionV0plusTOFGraphForBBfit->GetX()[ip] /= AliPID::ParticleMass(AliPID::kPion); pionV0plusTOFGraphForBBfit->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kPion); } // protonTofGraph->SetMarkerStyle(21); protonTpcGraph->SetMarkerStyle(22); protonV0Graph->SetMarkerStyle(34); protonV0GraphForBBfit->SetMarkerStyle(34); protonV0plusTOFGraph->SetMarkerStyle(30); protonV0plusTOFGraphForBBfit->SetMarkerStyle(30); protonTofGraph->SetMarkerColor(4); protonTpcGraph->SetMarkerColor(4); protonV0Graph->SetMarkerColor(4); protonV0GraphForBBfit->SetMarkerColor(4); protonV0plusTOFGraph->SetMarkerColor(4); protonV0plusTOFGraphForBBfit->SetMarkerColor(4); for(Int_t ip = 0; ip < protonTofGraph->GetN(); ip ++) { protonTofGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kProton); protonTofGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kProton); } for(Int_t ip = 0; ip < protonTpcGraph->GetN(); ip ++) { protonTpcGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kProton); protonTpcGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kProton); } for(Int_t ip = 0; ip < protonV0Graph->GetN(); ip ++) { protonV0Graph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kProton); protonV0Graph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kProton); } for(Int_t ip = 0; ip < protonV0GraphForBBfit->GetN(); ip ++) { protonV0GraphForBBfit->GetX()[ip] /= AliPID::ParticleMass(AliPID::kProton); protonV0GraphForBBfit->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kProton); } for(Int_t ip = 0; ip < protonV0plusTOFGraph->GetN(); ip ++) { protonV0plusTOFGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kProton); protonV0plusTOFGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kProton); } for(Int_t ip = 0; ip < protonV0plusTOFGraphForBBfit->GetN(); ip ++) { protonV0plusTOFGraphForBBfit->GetX()[ip] /= AliPID::ParticleMass(AliPID::kProton); protonV0plusTOFGraphForBBfit->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kProton); } // // TGraphErrors * graphAll = new TGraphErrors(); TList * listColl = new TList(); if (!useV0s) { //listColl->Add(protonTpcGraph); //listColl->Add(kaonTpcGraph); listColl->Add(pionTpcGraph); listColl->Add(electronGraph); listColl->Add(protonTofGraph); listColl->Add(kaonTofGraph); listColl->Add(pionTofGraph); } else { listColl->Add(pionV0GraphForBBfit); //listColl->Add(electronV0GraphForBBfit); listColl->Add(protonV0GraphForBBfit); //listColl->Add(pionV0plusTOFGraphForBBfit); listColl->Add(electronV0plusTOFGraphForBBfit); //listColl->Add(protonV0plusTOFGraphForBBfit); } MergeGraphErrors(graphAll, listColl); graphAll->SetNameTitle("beamDataPoints","beamDataPoints"); // Create graph out of TPC only, V0, V0+TOF and TPC+TOF to determine correction functions TList * listCollPr = new TList(); if (useV0s) { listCollPr->Add(protonTpcGraph); //listCollPr->Add(protonTofGraph); TGraphErrors * protonV0GraphCut = new TGraphErrors(*protonV0Graph); protonV0GraphCut->SetName("protonV0GraphCut"); for(Int_t ip = 0; ip < protonV0GraphCut->GetN(); ip ++) { Double_t mom = protonV0GraphCut->GetX()[ip] * AliPID::ParticleMass(AliPID::kProton); //Bool_t removePoint = mom >= 0.6 || mom < 0.35; // Will take TPC protons instead (statistics) for very low momenta Bool_t removePoint = mom < (isPPb ? 0.6 : 0.35); // Will take TPC protons instead (statistics) for very low momenta; // for pPb low statistics for the moment, therefore, go a bit further with TPC protons if (removePoint) { protonV0GraphCut->RemovePoint(ip); ip--; continue; } } /* TGraphErrors * protonV0plusTOFGraphCut = new TGraphErrors(*protonV0plusTOFGraph); protonV0plusTOFGraphCut->SetName("protonV0plusTOFGraphCut"); for(Int_t ip = 0; ip < protonV0plusTOFGraphCut->GetN(); ip ++) { Double_t mom = protonV0plusTOFGraphCut->GetX()[ip] * AliPID::ParticleMass(AliPID::kProton); Bool_t removePoint = mom < 0.6; if (removePoint) { protonV0plusTOFGraphCut->RemovePoint(ip); ip--; continue; } }*/ listCollPr->Add(protonV0GraphCut); //listCollPr->Add(protonV0plusTOFGraphCut); } else { listCollPr->Add(protonTpcGraph); listCollPr->Add(protonTofGraph); } TGraphErrors * graphPrCombined = new TGraphErrors(); MergeGraphErrors(graphPrCombined, listCollPr); graphPrCombined->SetMarkerStyle(22); graphPrCombined->SetMarkerColor(4); graphPrCombined->SetNameTitle("Graph_Protons_Combined", "Graph_Protons_Combined"); TList * listCollPi = new TList(); if (useV0s) { //listCollPi->Add(pionTpcGraph); //listCollPi->Add(pionTofGraph); TGraphErrors * pionV0GraphCut = new TGraphErrors(*pionV0Graph); pionV0GraphCut->SetName("pionV0GraphCut"); for(Int_t ip = 0; ip < pionV0GraphCut->GetN(); ip ++) { //Double_t mom = pionV0GraphCut->GetX()[ip] * AliPID::ParticleMass(AliPID::kPion); Bool_t removePoint = kFALSE;//mom >= 0.4; //|| mom < 0.2;//TODO NOW NEEDED? if (removePoint) { pionV0GraphCut->RemovePoint(ip); ip--; continue; } } /* TGraphErrors * pionV0plusTOFGraphCut = new TGraphErrors(*pionV0plusTOFGraph); pionV0plusTOFGraphCut->SetName("pionV0plusTOFGraphCut"); for(Int_t ip = 0; ip < pionV0plusTOFGraphCut->GetN(); ip ++) { Double_t mom = pionV0plusTOFGraphCut->GetX()[ip] * AliPID::ParticleMass(AliPID::kPion); Bool_t removePoint = mom < 0.4; if (removePoint) { pionV0plusTOFGraphCut->RemovePoint(ip); ip--; continue; } }*/ listCollPi->Add(pionV0GraphCut); //listCollPi->Add(pionV0plusTOFGraphCut); } else { listCollPi->Add(pionTpcGraph); listCollPi->Add(pionTofGraph); } TGraphErrors * graphPiCombined = new TGraphErrors(); MergeGraphErrors(graphPiCombined, listCollPi); graphPiCombined->SetMarkerStyle(22); graphPiCombined->SetMarkerColor(3); graphPiCombined->SetNameTitle("Graph_Pions_Combined", "Graph_Pions_Combined"); TList * listCollKa = new TList(); listCollKa->Add(kaonTpcGraph); listCollKa->Add(kaonTofGraph); TGraphErrors * graphKaCombined = new TGraphErrors(); MergeGraphErrors(graphKaCombined, listCollKa); graphKaCombined->SetMarkerStyle(22); graphKaCombined->SetMarkerColor(5); graphKaCombined->SetNameTitle("Graph_Kaons_Combined", "Graph_Kaons_Combined"); TList * listCollEl = new TList(); if (useV0s) { //listCollEl->Add(electronGraph); TGraphErrors * electronV0GraphCut = new TGraphErrors(*electronV0Graph); electronV0GraphCut->SetName("electronV0GraphCut"); /* for(Int_t ip = 0; ip < electronV0GraphCut->GetN(); ip ++) { Double_t mom = electronV0GraphCut->GetX()[ip] * AliPID::ParticleMass(AliPID::kElectron); Bool_t removePoint = mom > 0.3; if (removePoint) { electronV0GraphCut->RemovePoint(ip); ip--; continue; } } TGraphErrors * electronV0plusTOFGraphCut = new TGraphErrors(*electronV0plusTOFGraph); electronV0plusTOFGraphCut->SetName("electronV0plusTOFGraphCut"); for(Int_t ip = 0; ip < electronV0plusTOFGraphCut->GetN(); ip ++) { Double_t mom = electronV0plusTOFGraphCut->GetX()[ip] * AliPID::ParticleMass(AliPID::kElectron); Bool_t removePoint = mom <= 0.4; if (removePoint) { electronV0plusTOFGraphCut->RemovePoint(ip); ip--; continue; } } */ listCollEl->Add(electronV0GraphCut); //listCollEl->Add(electronV0plusTOFGraphCut); } else { listCollEl->Add(electronGraph); } TGraphErrors * graphElCombined = new TGraphErrors(); MergeGraphErrors(graphElCombined, listCollEl); graphElCombined->SetMarkerStyle(22); graphElCombined->SetMarkerColor(2); graphElCombined->SetNameTitle("Graph_Electrons_Combined", "Graph_Electrons_Combined"); // // return array with all graphs // TObjArray * arrGraphs = new TObjArray(); arrGraphs->Add(graphAll); // arrGraphs->Add(electronGraph); arrGraphs->Add(electronV0Graph); arrGraphs->Add(electronV0plusTOFGraph); arrGraphs->Add(electronV0GraphForBBfit); arrGraphs->Add(pionTpcGraph); arrGraphs->Add(pionTofGraph); arrGraphs->Add(pionV0Graph); arrGraphs->Add(pionV0plusTOFGraph); arrGraphs->Add(pionV0GraphForBBfit); arrGraphs->Add(kaonTpcGraph); arrGraphs->Add(kaonTofGraph); arrGraphs->Add(protonTpcGraph); arrGraphs->Add(protonTofGraph); arrGraphs->Add(protonV0Graph); arrGraphs->Add(protonV0plusTOFGraph); arrGraphs->Add(protonV0GraphForBBfit); // arrGraphs->Add(graphElCombined); arrGraphs->Add(graphPiCombined); arrGraphs->Add(graphKaCombined); arrGraphs->Add(graphPrCombined); // // canvasQAtpc->SaveAs("splines_QA_ResidualGraphsTPC.root"); canvasQAtof->SaveAs("splines_QA_ResidualGraphsTOF.root"); canvasQAv0->SaveAs("splines_QA_ResidualGraphsV0.root"); canvasQAv0plusTOF->SaveAs("splines_QA_ResidualGraphsV0plusTOF.root"); canvasQAv0DeDxPurityEl->SaveAs("V0_dEdx_purity_el.root"); canvasQAv0DeDxPurityPi->SaveAs("V0_dEdx_purity_Pi.root"); canvasQAv0DeDxPurityPr->SaveAs("V0_dEdx_purity_Pr.root"); return arrGraphs; } //________________________________________________________________________ TObjArray * AliTPCcalibResidualPID::GetResidualGraphsMC(THnSparseF * histPidQA, const Char_t * /*system*/) { // // Extracts the residual graphs from THnSparse created from MC (NOT DATA!) // const TString momTitle = "#it{p}_{TPC} (GeV/#it{c})"; const TString dEdxTitle = "d#it{E}/d#it{x} (arb. unit)"; Int_t cutForFitting = 10; Double_t heightFractionForFittingRange = 0.1; // THnSparse * hist = histPidQA; // TCanvas * canvasQAmc = new TCanvas("canvasQAmcResGraph","Control canvas for residual graphs (MC)",100,10,1380,800); canvasQAmc->Divide(2,2); for (Int_t i = 1; i <= 4; i++) { canvasQAmc->GetPad(i)->SetGrid(1, 1); canvasQAmc->GetPad(i)->SetLogz(); canvasQAmc->GetPad(i)->SetLogx(); } // // 1. select and fit electrons // // In the following, axis 3 will also be limited in range, although nsigma itself is not used. This is to avoid multiple counting of entries hist->GetAxis(2)->SetRangeUser(0,0); // electrons hist->GetAxis(3)->SetRangeUser(0,0); // electrons (used for nsigma and for the eta correction of the signal) TH2D * histElectron = hist->Projection(1,0); histElectron->SetName("histElectron"); histElectron->RebinX(2); histElectron->GetXaxis()->SetRangeUser(0.15,8.0); TObjArray arr; FitSlicesY(histElectron, heightFractionForFittingRange, cutForFitting, "QNRL", &arr); TH1D * electronPoints = (TH1D *) arr.At(1)->Clone(); // TGraphErrors * electronGraph = new TGraphErrors(electronPoints); electronGraph->SetName("electronGraphMC"); for(Int_t ip = 0; ip < electronGraph->GetN(); ip ++) { Bool_t removePoint = electronGraph->GetY()[ip] < 10 || electronGraph->GetEY()[ip]/electronGraph->GetY()[ip] > 0.03 || electronGraph->GetX()[ip] < 0.15;// || electronGraph->GetX()[ip] > 3.1; if (removePoint) { electronGraph->RemovePoint(ip); ip--; continue; } } // canvasQAmc->cd(1); histElectron->SetTitle("electrons"); histElectron->GetYaxis()->SetRangeUser(50, 120); histElectron->GetXaxis()->SetTitle(momTitle.Data()); histElectron->GetYaxis()->SetTitle(dEdxTitle.Data()); histElectron->GetXaxis()->SetMoreLogLabels(kTRUE); histElectron->GetXaxis()->SetNoExponent(kTRUE); histElectron->Draw("colz"); electronPoints->SetMarkerStyle(24); electronPoints->Draw("same"); // // 2. protons // hist->GetAxis(2)->SetRangeUser(3,3); // protons hist->GetAxis(3)->SetRangeUser(3,3); // protons (used for nsigma and for the eta correction of the signal) // TH2D * histProton = hist->Projection(1,0); histProton->SetName("histProton"); histProton->GetXaxis()->SetRangeUser(0.15,8); histProton->GetYaxis()->SetRangeUser(10, hist->GetAxis(1)->GetBinUpEdge(hist->GetAxis(1)->GetNbins())); FitSlicesY(histProton, heightFractionForFittingRange, cutForFitting, "QNRL", &arr); TH1D * protonPoints = (TH1D *) arr.At(1)->Clone(); // TGraphErrors * protonGraph = new TGraphErrors(protonPoints); protonGraph->SetName("protonGraphMC"); for(Int_t ip = 0; ip < protonGraph->GetN(); ip ++) { Bool_t removePoint = protonGraph->GetY()[ip] < 10 || protonGraph->GetEY()[ip]/protonGraph->GetY()[ip] > 0.02 || protonGraph->GetX()[ip] < 0.15 || protonGraph->GetX()[ip] > 6; if (removePoint) { protonGraph->RemovePoint(ip); ip--; continue; } } // canvasQAmc->cd(2); histProton->SetTitle("protons"); histProton->GetXaxis()->SetTitle(momTitle.Data()); histProton->GetYaxis()->SetTitle(dEdxTitle.Data()); histProton->GetXaxis()->SetMoreLogLabels(kTRUE); histProton->GetXaxis()->SetNoExponent(kTRUE); histProton->Draw("colz"); protonPoints->SetMarkerStyle(20); protonPoints->Draw("same"); // // 3. pions // hist->GetAxis(2)->SetRangeUser(1,1); // pions hist->GetAxis(3)->SetRangeUser(1,1); // pions (used for nsigma and for the eta correction of the signal) // TH2D * histPion = hist->Projection(1,0); histPion->SetName("histPion"); histPion->GetXaxis()->SetRangeUser(0.15,50); FitSlicesY(histPion, heightFractionForFittingRange, cutForFitting, "QNRL", &arr); TH1D * pionPoints = (TH1D *) arr.At(1)->Clone(); // TGraphErrors * pionGraph = new TGraphErrors(pionPoints); pionGraph->SetName("pionGraphMC"); for(Int_t ip = 0; ip < pionGraph->GetN(); ip ++) { Bool_t removePoint = pionGraph->GetY()[ip] < 10 || pionGraph->GetEY()[ip]/pionGraph->GetY()[ip] > 0.005 || pionGraph->GetX()[ip] < 0.15 || pionGraph->GetX()[ip] > 30; if (removePoint) { pionGraph->RemovePoint(ip); ip--; continue; } } // canvasQAmc->cd(3); histPion->GetYaxis()->SetRangeUser(30, 90); histPion->GetXaxis()->SetTitle(momTitle.Data()); histPion->GetYaxis()->SetTitle(dEdxTitle.Data()); histPion->GetXaxis()->SetMoreLogLabels(kTRUE); histPion->GetXaxis()->SetNoExponent(kTRUE); histPion->Draw("colz"); histPion->SetTitle("pions"); pionPoints->SetMarkerStyle(20); pionPoints->Draw("same"); // // 4. kaons // hist->GetAxis(2)->SetRangeUser(2,2); // kaons hist->GetAxis(3)->SetRangeUser(2,2); // kaons (used for nsigma and for the eta correction of the signal) // TH2D * histKaon = hist->Projection(1,0); histKaon->SetName("histKaon"); histKaon->GetXaxis()->SetRangeUser(0.15,8); FitSlicesY(histKaon, heightFractionForFittingRange, cutForFitting, "QNRL", &arr); TH1D * kaonPoints = (TH1D*) arr.At(1)->Clone(); // TGraphErrors * kaonGraph = new TGraphErrors(kaonPoints); kaonGraph->SetName("kaonGraphMC"); for(Int_t ip = 0; ip < kaonGraph->GetN(); ip ++) { Bool_t removePoint = kaonGraph->GetY()[ip] < 10 || kaonGraph->GetEY()[ip]/kaonGraph->GetY()[ip] > 0.02 || kaonGraph->GetX()[ip] < 0.15; if (removePoint) { kaonGraph->RemovePoint(ip); ip--; continue; } } // canvasQAmc->cd(4); histKaon->SetTitle("kaons"); histKaon->GetYaxis()->SetRangeUser(30, 500); histKaon->GetXaxis()->SetTitle(momTitle.Data()); histKaon->GetYaxis()->SetTitle(dEdxTitle.Data()); histKaon->GetXaxis()->SetMoreLogLabels(kTRUE); histKaon->GetXaxis()->SetNoExponent(kTRUE); histKaon->Draw("colz"); kaonPoints->SetMarkerStyle(20); kaonPoints->Draw("same"); hist->GetAxis(2)->SetRange(0,-1); // RESET RANGES hist->GetAxis(3)->SetRange(0,-1); // RESET RANGES // Clone graphs to have graphs with the same names as for the data case -> same subsequent functions can be used to determine // the correction functions and, finally, the response functions. // In addition: Remove some points, which are expected to deviate from the Bethe-Bloch curve, from the original graphs, so that // these graphs can be used for the BB fit TGraphErrors * graphPrCombined = new TGraphErrors(*protonGraph); graphPrCombined->SetMarkerStyle(22); graphPrCombined->SetMarkerColor(4); graphPrCombined->SetNameTitle("Graph_Protons_Combined", "Graph_Protons_Combined"); TGraphErrors * graphPiCombined = new TGraphErrors(*pionGraph); graphPiCombined->SetMarkerStyle(22); graphPiCombined->SetMarkerColor(3); graphPiCombined->SetNameTitle("Graph_Pions_Combined", "Graph_Pions_Combined"); TGraphErrors * graphKaCombined = new TGraphErrors(*kaonGraph); graphKaCombined->SetMarkerStyle(22); graphKaCombined->SetMarkerColor(5); graphKaCombined->SetNameTitle("Graph_Kaons_Combined", "Graph_Kaons_Combined"); TGraphErrors * graphElCombined = new TGraphErrors(*electronGraph); graphElCombined->SetMarkerStyle(22); graphElCombined->SetMarkerColor(2); graphElCombined->SetNameTitle("Graph_Electrons_Combined", "Graph_Electrons_Combined"); for(Int_t ip = 0; ip < electronGraph->GetN(); ip ++) { Bool_t removePoint = electronGraph->GetX()[ip] < 2.5;// || electronGraph->GetX()[ip] > 5.0; //Bool_t removePoint = electronGraph->GetX()[ip] < 1.2 || electronGraph->GetX()[ip] > 5.0; if (removePoint) { electronGraph->RemovePoint(ip); ip--; continue; } } for(Int_t ip = 0; ip < protonGraph->GetN(); ip ++) { Bool_t removePoint = protonGraph->GetX()[ip] < 0.9 || protonGraph->GetX()[ip] > 2.5;//3.5; //TODO NEW in order not to get into conflict with pions/kaons if (removePoint) { protonGraph->RemovePoint(ip); ip--; continue; } } for(Int_t ip = 0; ip < pionGraph->GetN(); ip ++) { Bool_t removePoint = pionGraph->GetX()[ip] < 2.1;//TODO APR18 0.8; if (removePoint) { pionGraph->RemovePoint(ip); ip--; continue; } } for(Int_t ip = 0; ip < kaonGraph->GetN(); ip ++) { Bool_t removePoint = kaonGraph->GetX()[ip] < 1.25 || kaonGraph->GetX()[ip] > 4.0;// < 0.7;// || kaonGraph->GetX()[ip] > 4; if (removePoint) { kaonGraph->RemovePoint(ip); ip--; continue; } } // // rescale graphs to betaGamma // kaonGraph->SetMarkerStyle(22); for(Int_t ip = 0; ip < kaonGraph->GetN(); ip ++) { kaonGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kKaon); kaonGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kKaon); } for(Int_t ip = 0; ip < graphKaCombined->GetN(); ip ++) { graphKaCombined->GetX()[ip] /= AliPID::ParticleMass(AliPID::kKaon); graphKaCombined->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kKaon); } // electronGraph->SetMarkerStyle(22); electronGraph->SetMarkerColor(2); for(Int_t ip = 0; ip < electronGraph->GetN(); ip ++) { electronGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); electronGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); } for(Int_t ip = 0; ip < graphElCombined->GetN(); ip ++) { graphElCombined->GetX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); graphElCombined->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kElectron); } // pionGraph->SetMarkerStyle(22); pionGraph->SetMarkerColor(3); for(Int_t ip = 0; ip < pionGraph->GetN(); ip ++) { pionGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kPion); pionGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kPion); } for(Int_t ip = 0; ip < graphPiCombined->GetN(); ip ++) { graphPiCombined->GetX()[ip] /= AliPID::ParticleMass(AliPID::kPion); graphPiCombined->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kPion); } // protonGraph->SetMarkerStyle(22); protonGraph->SetMarkerColor(4); for(Int_t ip = 0; ip < protonGraph->GetN(); ip ++) { protonGraph->GetX()[ip] /= AliPID::ParticleMass(AliPID::kProton); protonGraph->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kProton); } for(Int_t ip = 0; ip < graphPrCombined->GetN(); ip ++) { graphPrCombined->GetX()[ip] /= AliPID::ParticleMass(AliPID::kProton); graphPrCombined->GetEX()[ip] /= AliPID::ParticleMass(AliPID::kProton); } // // // Store graphs without further restriction TGraphErrors * graphPrAll = new TGraphErrors(*graphPrCombined); graphPrAll->SetNameTitle("Protons_MC_all", "Protons_MC_all"); TGraphErrors * graphPiAll = new TGraphErrors(*graphPiCombined); graphPiAll->SetNameTitle("Pions_MC_all", "Pions_MC_all"); TGraphErrors * graphKaAll = new TGraphErrors(*graphKaCombined); graphKaAll->SetNameTitle("Kaons_MC_all", "Kaons_MC_all"); TGraphErrors * graphElAll = new TGraphErrors(*graphElCombined); graphElAll->SetNameTitle("Electrons_MC_all", "Electrons_MC_all"); // // TGraphErrors * graphAll = new TGraphErrors(); TList * listColl = new TList(); listColl->Add(electronGraph); listColl->Add(protonGraph); listColl->Add(kaonGraph); listColl->Add(pionGraph); MergeGraphErrors(graphAll, listColl); graphAll->SetNameTitle("beamDataPoints","beamDataPoints"); // // return array with all graphs // TObjArray * arrGraphs = new TObjArray(); arrGraphs->Add(graphAll); // arrGraphs->Add(electronGraph); arrGraphs->Add(pionGraph); arrGraphs->Add(kaonGraph); arrGraphs->Add(protonGraph); // arrGraphs->Add(graphElAll); arrGraphs->Add(graphPiAll); arrGraphs->Add(graphKaAll); arrGraphs->Add(graphPrAll); // arrGraphs->Add(graphElCombined); arrGraphs->Add(graphPiCombined); arrGraphs->Add(graphKaCombined); arrGraphs->Add(graphPrCombined); // // canvasQAmc->SaveAs("splines_QA_ResidualGraphsTPC.root"); return arrGraphs; } //________________________________________________________________________ TObjArray * AliTPCcalibResidualPID::GetResponseFunctions(TF1* parametrisation, TObjArray* inputGraphs, const Char_t * type, const Char_t * period, const Char_t * pass, const Char_t * system, const Char_t* dedxtype) { // // Bool_t isMC = kFALSE; if (strcmp(type, "MC") == 0) { isMC = kTRUE; } else if (strcmp(type, "DATA") == 0) { isMC = kFALSE; } else { Printf("ERROR - GetResponseFunctions: Unknown type \"%s\" - must be \"MC\" or \"DATA\"!", type); return 0x0; } Bool_t isPbPb = kFALSE; Bool_t isPPb = kFALSE; if (strcmp(system, "PBPB") == 0) { Printf("PbPb detected - Applying special handling!"); isPbPb = kTRUE; } else if (strcmp(system, "PPB") == 0 || strcmp(system, "PBP") == 0) { Printf("p-Pb/Pb-p detected - Applying special handling!"); isPPb = kTRUE; } TCanvas* canvasQA[4] = { 0x0, }; for (Int_t i = 0; i < 4; i++) { canvasQA[i] = new TCanvas(Form("canvasQAres_%d", i), "Control canvas for residual polynomial",100,10,1380,800); canvasQA[i]->SetGrid(1, 1); canvasQA[i]->SetLogx(); } /* TCanvas * canvasQA = new TCanvas("canvasQAres","Control canvas for residual polynomial",100,10,1380,800); canvasQA->Divide(2,2); for (Int_t i = 1; i <= 4; i++) { canvasQA->GetPad(i)->SetGrid(1, 1); } */ // // smallest needed (100MeV proton) bg = 0.1/0.938(=AliPID::ParticleMass(AliPID::kProton)) = 0.1, // largest needed 100 GeV electron, bg = 100/0.000511(=AliPID::ParticleMass(AliPID::kElectron)) = 200 000 // Double_t from = 0.1; Double_t to = 200000; TF1* funcBB = new TF1(*parametrisation); funcBB->SetLineColor(2); funcBB->SetLineWidth(1); TString fitFuncString = "[0] + [1] / x + [2] / (x**2) + [3] / (x**3) + [4] / (x**4) + [5] / (x**5) + [6] * x"; TString fitFuncString2 = "pol6"; // // 1. extract proton corrections // TGraphErrors * graphProtonTPC = (TGraphErrors *) inputGraphs->FindObject("Graph_Protons_Combined"); TGraphErrors * graphProtonTPCfinal = new TGraphErrors(*graphProtonTPC); graphProtonTPCfinal->SetName("graphProtonTPCfinal"); for(Int_t ip = 0; ip < graphProtonTPC->GetN(); ip ++) { graphProtonTPC->GetY()[ip] -= funcBB->Eval(graphProtonTPC->GetX()[ip]); graphProtonTPC->GetY()[ip] /= funcBB->Eval(graphProtonTPC->GetX()[ip]); graphProtonTPC->GetEY()[ip] /= funcBB->Eval(graphProtonTPC->GetX()[ip]);; } canvasQA[0]->cd(); //canvasQA->cd(1); //gPad->SetLogx(); graphProtonTPC->GetXaxis()->SetTitle("#beta#gamma"); graphProtonTPC->GetXaxis()->SetMoreLogLabels(kTRUE); graphProtonTPC->GetXaxis()->SetNoExponent(kTRUE); graphProtonTPC->GetYaxis()->SetLabelSize(0.04); graphProtonTPC->GetYaxis()->SetTitleOffset(0.85); graphProtonTPC->GetXaxis()->SetTitleOffset(1.0); graphProtonTPC->GetYaxis()->SetTitle("(data - fit) / fit"); graphProtonTPC->Draw("ap"); if (graphProtonTPC->GetN() <= 0) { Printf("ERROR - GetResponseFunctions: Proton graph has no data points!"); return 0x0; } graphProtonTPC->Sort(); // Sort points along x. Next, the very first point will be used to determine the starting point of the correction function TF1 * funcCorrProton = new TF1("funcCorrProton", fitFuncString2.Data(), TMath::Max(graphProtonTPC->GetX()[0], 0.15),1.0); // TODO BEN was 0.18 - 0.85 graphProtonTPC->Fit(funcCorrProton, "QREX0M"); // // 2. extract kaon corrections // TGraphErrors * graphKaonTPC = (TGraphErrors *) inputGraphs->FindObject("Graph_Kaons_Combined"); TGraphErrors * graphKaonTPCfinal = new TGraphErrors(*graphKaonTPC); graphKaonTPCfinal->SetName("graphKaonTPCfinal"); for(Int_t ip = 0; ip < graphKaonTPC->GetN(); ip ++) { graphKaonTPC->GetY()[ip] -= funcBB->Eval(graphKaonTPC->GetX()[ip]); graphKaonTPC->GetY()[ip] /= funcBB->Eval(graphKaonTPC->GetX()[ip]); graphKaonTPC->GetEY()[ip] /= funcBB->Eval(graphKaonTPC->GetX()[ip]);; } canvasQA[1]->cd(); //canvasQA->cd(2); //gPad->SetLogx(); graphKaonTPC->GetXaxis()->SetTitle("#beta#gamma"); graphKaonTPC->GetYaxis()->SetTitle("(data - fit) / fit"); graphKaonTPC->GetXaxis()->SetMoreLogLabels(kTRUE); graphKaonTPC->GetXaxis()->SetNoExponent(kTRUE); graphKaonTPC->GetYaxis()->SetLabelSize(0.04); graphKaonTPC->GetYaxis()->SetTitleOffset(0.85); graphKaonTPC->GetXaxis()->SetTitleOffset(1.0); graphKaonTPC->Draw("ap"); if (graphKaonTPC->GetN() <= 0) { Printf("ERROR - GetResponseFunctions: Kaon graph has no data points!"); return 0x0; } graphKaonTPC->Sort(); // Sort points along x. Next, the very first point will be used to determine the starting point of the correction function TF1 * funcCorrKaon = 0x0; if (isMC) { funcCorrKaon = new TF1("funcCorrKaon", fitFuncString.Data(), TMath::Max(graphKaonTPC->GetX()[0], 0.25), isPPb ? 3.44 : 1.981); graphKaonTPC->Fit(funcCorrKaon, "QREX0M"); } else { // In case of data there are sometimes problems to fit the shape with one function (could describe the overall deviation, // but will not cover all the details). // Nevertheless, this shape (including most of the "details") can be fitted with the following approach with two functions TF1 * funcCorrKaon1 = new TF1("funcCorrKaon1", fitFuncString.Data(), TMath::Max(graphKaonTPC->GetX()[0], 0.25), 1.981); graphKaonTPC->Fit(funcCorrKaon1, "QREX0M", "same", TMath::Max(graphKaonTPC->GetX()[0], 0.25), 1.0); TF1 * funcCorrKaon2 = new TF1("funcCorrKaon2", fitFuncString2.Data(), TMath::Max(graphKaonTPC->GetX()[0], 0.25), 1.981); graphKaonTPC->Fit(funcCorrKaon2, "QREX0M", "same", (isMC ? 1.981 : 1.0), 1.981); funcCorrKaon = new TF1("funcCorrKaon", "funcCorrKaon1 * 0.5*(1.+TMath::Erf((1 - x) / 0.1)) + ([0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x+[5]*x*x*x*x*x+[6]*x*x*x*x*x*x) * 0.5*(1.+TMath::Erf((x - 1) / 0.1))", TMath::Max(graphKaonTPC->GetX()[0], 0.25), 1.981); for (Int_t i = funcCorrKaon1->GetNpar(), j = 0; i < funcCorrKaon1->GetNpar() + funcCorrKaon2->GetNpar(); i++, j++) { funcCorrKaon->SetParameter(j, funcCorrKaon2->GetParameter(j)); } funcCorrKaon->SetLineColor(kRed); funcCorrKaon->GetHistogram()->DrawClone("csame"); //funcCorrKaon->Draw("same"); } /*TODO TF1 * funcCorrKaon = new TF1("funcCorrKaon", fitFuncString.Data(),//TODO BEN was fitFuncString2 TMath::Max(graphKaonTPC->GetX()[0], 0.25), (isMC ? 1.981 : 1.0)); //TODO BEN was 0.79 for data and 1.45 for MC graphKaonTPC->Fit(funcCorrKaon, "QREX0M"); */ // // 3. extract pion corrections // TGraphErrors * graphPionTPC = (TGraphErrors *) inputGraphs->FindObject("Graph_Pions_Combined"); TGraphErrors * graphPionTPCfinal = new TGraphErrors(*graphPionTPC); graphPionTPCfinal->SetName("graphPionTPCfinal"); for(Int_t ip = 0; ip < graphPionTPC->GetN(); ip ++) { graphPionTPC->GetY()[ip] -= funcBB->Eval(graphPionTPC->GetX()[ip]); graphPionTPC->GetY()[ip] /= funcBB->Eval(graphPionTPC->GetX()[ip]); graphPionTPC->GetEY()[ip] /= funcBB->Eval(graphPionTPC->GetX()[ip]); } canvasQA[2]->cd(); //canvasQA->cd(3); //gPad->SetLogx(); graphPionTPC->GetXaxis()->SetTitle("#beta#gamma"); graphPionTPC->GetYaxis()->SetTitle("(data - fit) / fit"); graphPionTPC->GetXaxis()->SetMoreLogLabels(kTRUE); graphPionTPC->GetXaxis()->SetNoExponent(kTRUE); graphPionTPC->GetYaxis()->SetLabelSize(0.04); graphPionTPC->GetYaxis()->SetTitleOffset(0.85); graphPionTPC->GetXaxis()->SetTitleOffset(1.0); graphPionTPC->Draw("ap"); if (graphPionTPC->GetN() <= 0) { Printf("ERROR - GetResponseFunctions: Pion graph has no data points!"); return 0x0; } graphPionTPC->Sort(); // Sort points along x. Next, the very first point will be used to determine the starting point of the correction function // In case of PbPb (data, not MC) only correct down to 0.2 GeV/c; otherwise: contamination due to electrons TF1 * funcCorrPion = new TF1("funcCorrPion", fitFuncString.Data(), ((isPbPb && !isMC) ? (0.2 / AliPID::ParticleMass(AliPID::kPion)) : graphPionTPC->GetX()[0]), isMC ? (isPPb ? 12.8 : (isPbPb ? 12.8 : 7.1)) : (isPPb ? 7.68 : 7.1)); graphPionTPC->Fit(funcCorrPion, "QREX0M"); // // 4. extract electron corrections // TGraphErrors * graphElectronTPC = (TGraphErrors *) inputGraphs->FindObject("Graph_Electrons_Combined"); TGraphErrors * graphElectronTPCfinal = new TGraphErrors(*graphElectronTPC); graphElectronTPCfinal->SetName("graphElectronTPCfinal"); for(Int_t ip = 0; ip < graphElectronTPC->GetN(); ip ++) { graphElectronTPC->GetY()[ip] -= funcBB->Eval(graphElectronTPC->GetX()[ip]); graphElectronTPC->GetY()[ip] /= funcBB->Eval(graphElectronTPC->GetX()[ip]); graphElectronTPC->GetEY()[ip] /= funcBB->Eval(graphElectronTPC->GetX()[ip]);; } canvasQA[3]->cd(); //canvasQA->cd(4); //gPad->SetLogx(); graphElectronTPC->GetXaxis()->SetTitle("#beta#gamma"); graphElectronTPC->GetYaxis()->SetTitle("(data - fit) / fit"); graphElectronTPC->GetXaxis()->SetMoreLogLabels(kTRUE); graphElectronTPC->GetXaxis()->SetNoExponent(kTRUE); graphElectronTPC->GetYaxis()->SetLabelSize(0.04); graphElectronTPC->GetYaxis()->SetTitleOffset(0.85); graphElectronTPC->GetXaxis()->SetTitleOffset(1.0); graphElectronTPC->Draw("ap"); if (graphElectronTPC->GetN() <= 0) { Printf("ERROR - GetResponseFunctions: Electron graph has no data points!"); return 0x0; } graphElectronTPC->Sort(); // Sort points along x. Next, the very first point will be used to determine the starting point of the correction function // In case of PbPb (data, not MC) only correct down to 0.2 GeV/c; otherwise: contamination due to pions TF1 * funcCorrElectron = new TF1("funcCorrElectron", fitFuncString.Data(), (!isMC && isPbPb ? (0.2 / AliPID::ParticleMass(AliPID::kElectron)) :graphElectronTPC->GetX()[0]), (isMC ? 3565 : (isPPb ? 2900 : 1920/*970*/)));// TODO was 1800 for pp data // NOTE: For data, the results are almost the same for fitFuncString and fitFuncString2. Maybe, fitFuncString2 is slightly better. graphElectronTPC->Fit(funcCorrElectron, "QREX0M"); // // EXTRACT GRAPHS AND PUT THEM TO THE TOBJARRAY // const Int_t nBins = 500; Double_t xBetaGamma[nBins]; Double_t yProton[nBins]; Double_t yKaon[nBins]; Double_t yPion[nBins]; Double_t yElectron[nBins]; Double_t yDefault[nBins]; // // // xBetaGamma[0] = from; Double_t factor = pow(to/from, 1./nBins); // for(Int_t kk = 0; kk < nBins; kk++) { if (kk > 0) xBetaGamma[kk] = factor * xBetaGamma[kk-1]; yProton[kk] = funcBB->Eval(xBetaGamma[kk])/50.; yPion[kk] = funcBB->Eval(xBetaGamma[kk])/50.; yKaon[kk] = funcBB->Eval(xBetaGamma[kk])/50.; yElectron[kk] = funcBB->Eval(xBetaGamma[kk])/50.; yDefault[kk] = funcBB->Eval(xBetaGamma[kk])/50.; // Added by Ben Double_t widthFactor = 0.020; Double_t smoothProton = 0.5*(TMath::Erf((funcCorrProton->GetXmax()-xBetaGamma[kk])*AliPID::ParticleMass(AliPID::kProton)/widthFactor) + 1); Double_t smoothKaon = 0.5*(TMath::Erf((funcCorrKaon->GetXmax()-xBetaGamma[kk])*AliPID::ParticleMass(AliPID::kKaon)/widthFactor) + 1); Double_t smoothPion = 0.5*(TMath::Erf((funcCorrPion->GetXmax()-xBetaGamma[kk])*AliPID::ParticleMass(AliPID::kPion)/widthFactor) + 1); Double_t smoothElectron = 0.5*(TMath::Erf((funcCorrElectron->GetXmax()-xBetaGamma[kk])*AliPID::ParticleMass(AliPID::kElectron)/widthFactor) + 1); if (xBetaGamma[kk] > funcCorrProton->GetXmax()) yProton[kk] *= (1 + smoothProton*funcCorrProton->Eval(funcCorrProton->GetXmax())); // Correction is so large that one runs into trouble at low bg for Protons. // The deviation is smaller if one takes the lower bound of the correction function else if (xBetaGamma[kk] < funcCorrProton->GetXmin()) yProton[kk] *= (1 + smoothProton*funcCorrProton->Eval(funcCorrProton->GetXmin())); else yProton[kk] *= (1 + smoothProton*funcCorrProton->Eval(xBetaGamma[kk])); if (xBetaGamma[kk] > funcCorrKaon->GetXmax()) yKaon[kk] *= (1 + smoothKaon*funcCorrKaon->Eval(funcCorrKaon->GetXmax())); // Correction is so large that one runs into trouble at low bg for Kaons. // The deviation is smaller if one takes the lower bound of the correction function else if (xBetaGamma[kk] < funcCorrKaon->GetXmin()) yKaon[kk] *= (1 + smoothKaon*funcCorrKaon->Eval(funcCorrKaon->GetXmin())); else yKaon[kk] *= (1 + smoothKaon*funcCorrKaon->Eval(xBetaGamma[kk])); if (xBetaGamma[kk] > funcCorrElectron->GetXmax()) yElectron[kk] *= (1 + smoothElectron*funcCorrElectron->Eval(funcCorrElectron->GetXmax())); else if (xBetaGamma[kk] < funcCorrElectron->GetXmin()) yElectron[kk] *= (1 + smoothElectron*funcCorrElectron->Eval(funcCorrElectron->GetXmin())); else yElectron[kk] *= (1 + smoothElectron*funcCorrElectron->Eval(xBetaGamma[kk])); // Only true for LHC10d.pass?: Seems not to be needed because any (very small) deviations are most likely due to electron contamination(BEN) if (xBetaGamma[kk] > funcCorrPion->GetXmax()) yPion[kk] *= (1 + smoothPion*funcCorrPion->Eval(funcCorrPion->GetXmax())); else if (xBetaGamma[kk] < funcCorrPion->GetXmin()) yPion[kk] *= (1 + smoothPion*funcCorrPion->Eval(funcCorrPion->GetXmin())); else yPion[kk] *= (1 + smoothPion*funcCorrPion->Eval(xBetaGamma[kk])); /* Removed by Ben Double_t smoothProton = 0.5*(TMath::Erf((funcCorrProton->GetXmax()-xBetaGamma[kk])/0.002) + 1); Double_t smoothKaon = 0.5*(TMath::Erf((funcCorrKaon->GetXmax()-xBetaGamma[kk])/0.002) + 1); Double_t smoothPion = 0.5*(TMath::Erf((funcCorrPion->GetXmax()-xBetaGamma[kk])/0.002) + 1); if (xBetaGamma[kk] < funcCorrProton->GetXmax() && xBetaGamma[kk] > funcCorrProton->GetXmin()) yProton[kk] *= (1 + smoothProton*funcCorrProton->Eval(xBetaGamma[kk])); if (xBetaGamma[kk] < funcCorrKaon->GetXmax() && xBetaGamma[kk] > funcCorrKaon->GetXmin()) yKaon[kk] *= (1 + smoothKaon*funcCorrKaon->Eval(xBetaGamma[kk])); if (xBetaGamma[kk] < funcCorrPion->GetXmax() && xBetaGamma[kk] > funcCorrPion->GetXmin()) yPion[kk] *= (1 + smoothPion*funcCorrPion->Eval(xBetaGamma[kk])); //if (xBetaGamma[kk] < funcCorrElectron->GetXmax()) yElectron[kk] *= (1 + funcCorrElectron->Eval(xBetaGamma[kk])); // if (xBetaGamma[kk] < funcCorrProton->GetXmin()) yProton[kk] *= (1 + funcCorrProton->Eval(funcCorrProton->GetXmin())); if (xBetaGamma[kk] < funcCorrKaon->GetXmin()) yKaon[kk] *= (1 + funcCorrKaon->Eval(funcCorrKaon->GetXmin())); if (xBetaGamma[kk] < funcCorrPion->GetXmin()) yPion[kk] *= (1 + funcCorrPion->Eval(funcCorrPion->GetXmin())); */ } // TGraph * graphProton = new TGraph(nBins, xBetaGamma, yProton); TGraph * graphElectron = new TGraph(nBins, xBetaGamma, yElectron); TGraph * graphKaon = new TGraph(nBins, xBetaGamma, yKaon); TGraph * graphPion = new TGraph(nBins, xBetaGamma, yPion); TGraph * graphDefault = new TGraph(nBins, xBetaGamma, yDefault); // // TSpline3 * splineProton = new TSpline3("splineProton", graphProton); TSpline3 * splineElectron = new TSpline3("splineElectron", graphElectron); TSpline3 * splineKaon = new TSpline3("splineKaon", graphKaon); TSpline3 * splinePion = new TSpline3("splinePion", graphPion); TSpline3 * splineDefault = new TSpline3("splineDefault", graphDefault); // // splineProton->SetNameTitle(Form("TSPLINE3_%s_PROTON_%s_%s_%s_%sMEAN",type,period,pass,system,dedxtype), Form("TSPLINE3_%s_PROTON_%s_%s_%s_%sMEAN",type,period,pass,system,dedxtype)); splineElectron->SetNameTitle(Form("TSPLINE3_%s_ELECTRON_%s_%s_%s_%sMEAN",type,period,pass,system,dedxtype), Form("TSPLINE3_%s_ELECTRON_%s_%s_%s_%sMEAN",type,period,pass,system,dedxtype)); splineKaon->SetNameTitle(Form("TSPLINE3_%s_KAON_%s_%s_%s_%sMEAN",type,period,pass,system,dedxtype), Form("TSPLINE3_%s_KAON_%s_%s_%s_%sMEAN",type,period,pass,system,dedxtype)); splinePion->SetNameTitle(Form("TSPLINE3_%s_PION_%s_%s_%s_%sMEAN",type,period,pass,system,dedxtype), Form("TSPLINE3_%s_PION_%s_%s_%s_%sMEAN",type,period,pass,system,dedxtype)); splineDefault->SetNameTitle(Form("TSPLINE3_%s_ALL_%s_%s_%s_%sMEAN",type,period,pass,system,dedxtype), Form("TSPLINE3_%s_ALL_%s_%s_%s_%sMEAN",type,period,pass,system,dedxtype)); // TObjArray * arrResponse = new TObjArray(); arrResponse->SetName("TPCpidResponseFunctions"); arrResponse->AddLast(splineProton); arrResponse->AddLast(splineElectron); arrResponse->AddLast(splineKaon); arrResponse->AddLast(splinePion); arrResponse->AddLast(splineDefault); // // Draw deviation from final results for(Int_t ip = 0; ip < graphProtonTPCfinal->GetN(); ip ++) { graphProtonTPCfinal->GetY()[ip] -= 50. * splineProton->Eval(graphProtonTPCfinal->GetX()[ip]); graphProtonTPCfinal->GetY()[ip] /= 50. * splineProton->Eval(graphProtonTPCfinal->GetX()[ip]); graphProtonTPCfinal->GetEY()[ip] /= 50. * splineProton->Eval(graphProtonTPCfinal->GetX()[ip]);; } canvasQA[0]->cd(); //canvasQA->cd(1); graphProtonTPCfinal->SetMarkerStyle(26); graphProtonTPCfinal->Draw("psame"); for(Int_t ip = 0; ip < graphKaonTPCfinal->GetN(); ip ++) { graphKaonTPCfinal->GetY()[ip] -= 50. * splineKaon->Eval(graphKaonTPCfinal->GetX()[ip]); graphKaonTPCfinal->GetY()[ip] /= 50. * splineKaon->Eval(graphKaonTPCfinal->GetX()[ip]); graphKaonTPCfinal->GetEY()[ip] /= 50. * splineKaon->Eval(graphKaonTPCfinal->GetX()[ip]);; } canvasQA[1]->cd(); //canvasQA->cd(2); graphKaonTPCfinal->SetMarkerStyle(26); graphKaonTPCfinal->Draw("psame"); for(Int_t ip = 0; ip < graphPionTPCfinal->GetN(); ip ++) { graphPionTPCfinal->GetY()[ip] -= 50. * splinePion->Eval(graphPionTPCfinal->GetX()[ip]); graphPionTPCfinal->GetY()[ip] /= 50. * splinePion->Eval(graphPionTPCfinal->GetX()[ip]); graphPionTPCfinal->GetEY()[ip] /= 50. * splinePion->Eval(graphPionTPCfinal->GetX()[ip]);; } canvasQA[2]->cd(); //canvasQA->cd(3); graphPionTPCfinal->SetMarkerStyle(26); graphPionTPCfinal->Draw("psame"); for(Int_t ip = 0; ip < graphElectronTPCfinal->GetN(); ip ++) { graphElectronTPCfinal->GetY()[ip] -= 50. * splineElectron->Eval(graphElectronTPCfinal->GetX()[ip]); graphElectronTPCfinal->GetY()[ip] /= 50. * splineElectron->Eval(graphElectronTPCfinal->GetX()[ip]); graphElectronTPCfinal->GetEY()[ip] /= 50. * splineElectron->Eval(graphElectronTPCfinal->GetX()[ip]);; } canvasQA[3]->cd(); //canvasQA->cd(4); graphElectronTPCfinal->SetMarkerStyle(26); graphElectronTPCfinal->Draw("psame"); TFile* fSave = TFile::Open("splines_QA_ResidualPolynomials.root", "RECREATE"); fSave->cd(); for (Int_t i = 0; i < 4; i++) canvasQA[i]->Write(); fSave->Close(); //canvasQA->SaveAs("splines_QA_ResidualPolynomials.root"); delete funcBB; return arrResponse; } //________________________________________________________________________ TF1* AliTPCcalibResidualPID::FitBB(TObjArray* inputGraphs, Bool_t isMC, Bool_t isPPb, const Bool_t useV0s, const Double_t * initialParameters, AliTPCcalibResidualPID::FitType fitType) { // // Fit Bethe-Bloch parametrisation to data points (inputGraphs) // const Int_t nPar = 6; TGraphErrors * graphAll = (TGraphErrors *) inputGraphs->FindObject("beamDataPoints"); // Float_t from = 0.9; //TODO ADJUST -> Very important Float_t to = graphAll->GetXaxis()->GetXmax() * 2; TF1* funcBB = 0x0; Double_t parametersBBForward[nPar] = { 0, }; TVirtualFitter::SetMaxIterations(5e6); if (fitType == AliTPCcalibResidualPID::kSaturatedLund) { printf("Fit function: Saturated Lund\n"); funcBB = new TF1("SaturatedLund", SaturatedLund, from, to, nPar); //Double_t parametersBB[nPar] = {34.0446, 8.42221, 4.16724, 1.29473, 80.6663, 0}; //Xianguos values //Double_t parametersBB[nPar] = {35.5, 8.7, 2.0, 1.09, 75.6, 0}; // No saturation Double_t parametersBB[nPar] = {61.0, 8.7, 1.86, 0.85, 113.4, -38}; // Yields reasonable results for data and MC ~ all periods if (isPPb && !isMC) { parametersBB[0] = 51.6; parametersBB[1] = 9.7; parametersBB[2] = 1.62; parametersBB[3] = 0.99; parametersBB[4] = 104.4; parametersBB[5] = -27.0; } if (isMC) { parametersBB[0] = 41.4; parametersBB[1] = 8.6; parametersBB[2] = 2.2; parametersBB[3] = 0.92; parametersBB[4] = 90.4; parametersBB[5] = -20.0; } funcBB->SetParameters(parametersBB); Double_t parameterErrorsBB[nPar] = {5., 0.5, 0.2, 0.05, 10, 10}; funcBB->SetParErrors(parameterErrorsBB); for (Int_t i = 0; i < nPar; i++) parametersBBForward[i] = parametersBB[i]; } else if (fitType == AliTPCcalibResidualPID::kLund) { printf("Fit function: Lund\n"); printf("****WARNING: Fit settings not tuned for this fit function, only for saturated Lund!\n"); funcBB = new TF1("SaturatedLund", SaturatedLund, from, to, nPar); //Double_t parametersBB[nPar] = {34.0446, 8.42221, 4.16724, 1.29473, 80.6663, 0}; //Xianguos values //Double_t parametersBB[nPar] = {35.5, 8.7, 2.0, 1.09, 75.6, 0}; // No saturation Double_t parametersBB[nPar] = {35.0, 7., 1.86, 1., 75., 0}; // Yields reasonable results for data and MC ~ all periods funcBB->SetParameters(parametersBB); Double_t parameterErrorsBB[nPar] = {5., 0.5, 0.2, 0.05, 10, 10}; funcBB->SetParErrors(parameterErrorsBB); funcBB->FixParameter(5, 0.0); // No saturation for (Int_t i = 0; i < nPar; i++) parametersBBForward[i] = parametersBB[i]; } else if (fitType == kAlephWithAdditionalParam) { printf("Fit function: Aleph with additional parameter\n"); printf("****WARNING: Fit settings not tuned for this fit function, only for saturated Lund!\n"); // NOTE: This form is equivalent to the original form, but with parameter [2] redefined for better numerical stability. // The additional parameter [5] has been introduced later and is unity originally. It seems not to be needed and is, thus, // fixed to unity funcBB = new TF1("funcAleph", "[0]/TMath::Power(TMath::Sqrt(1. + x*x)/x , [3])*([1]-[2]-[5]*TMath::Power(TMath::Sqrt(1. + x*x)/x , [3])-TMath::Log(1. + TMath::Power(x, -[4])*TMath::Exp(-[2])))", from, to); //OLD"[0]*([1]*TMath::Power(TMath::Sqrt(1 + x*x)/x , [3]) - [5] - TMath::Power(TMath::Sqrt(1 + x*x)/x , [3])*TMath::Log(TMath::Exp([2]) + 1/TMath::Power(x, [4])))", from, to); Double_t parametersBB[nPar] = {2.6,14.3,-15,2.2,2.7, 0.06}; //OLD with different sign for [3]: Double_t parametersBB[nPar] = {0.0762*50.3,10.632,TMath::Log(1.34e-05),1.863,1.948, 1}; funcBB->SetParameters(parametersBB); for (Int_t i = 0; i < nPar; i++) parametersBBForward[i] = parametersBB[i]; } else if (fitType == AliTPCcalibResidualPID::kAleph) { printf("Fit function: Aleph\n"); printf("****WARNING: Fit settings not tuned for this fit function, only for saturated Lund!\n"); // NOTE: This form is equivalent to the original form, but with parameter [2] redefined for better numerical stability. // The additional parameter [5] has been introduced later and is unity originally. It seems not to be needed and is, thus, // fixed to unity funcBB = new TF1("funcAleph", "[0]/TMath::Power(x/TMath::Sqrt(1. + x*x) , [3])*([1]-[2]-[5]*TMath::Power(x/TMath::Sqrt(1. + x*x) , [3])-TMath::Log(1. + TMath::Power(x, -[4])*TMath::Exp(-[2])))", from, to); //OLD"[0]*([1]*TMath::Power(TMath::Sqrt(1 + x*x)/x , [3]) - [5] - TMath::Power(TMath::Sqrt(1 + x*x)/x , [3])*TMath::Log(TMath::Exp([2]) + 1/TMath::Power(x, [4])))", from, to); //TEST Double_t parametersBB[nPar] = {1.2, 26.0, -30.0, -2.15, 5.6, 1}; Double_t parametersBB[nPar] = {1.25, 27.5, -29.0, 2.2, 5.2, 1}; // For [5] floating: Double_t parametersBB[nPar] = {2.42,15.2,-16,-2.24,2.8, 0.057}; //OLD with different sign for [3] and [5] not fix: Double_t parametersBB[nPar] = {2.6,14.3,-15,2.2,2.7, 0.06}; //OLD with different sign for [3]: Double_t parametersBB[nPar] = {0.0762*50.3,10.632,TMath::Log(1.34e-05),1.863,1.948, 1}; funcBB->SetParameters(parametersBB); // Fix parameter 5 to original value of unity funcBB->FixParameter(5, 1); for (Int_t i = 0; i < nPar; i++) parametersBBForward[i] = parametersBB[i]; } else { printf("Error: fitType not supported!\n"); return 0x0; } funcBB->SetLineColor(2); funcBB->SetLineWidth(1); // Override initial parameters, if user provides some if (initialParameters) { printf("Setting user initial parameters!\n"); funcBB->SetParameters(initialParameters); } // // // TGraphErrors * graphDelta = new TGraphErrors(*graphAll); graphDelta->SetName("graphDelta"); // In MC case: Remove errors from fit -> Some data points with extremely small errors otherwise completely dominate the fit, // but these points could still be wrong due to systematics (low p effects, e.g.) if (isMC) { for(Int_t ip = 0; ip < graphAll->GetN(); ip++) { graphAll->SetPointError(ip, 0, 0); } } else if (useV0s) { // Increase weight in plateau by reducing errors. Neccessary because errors are large there compared to other data points for(Int_t ip = 0; ip < graphAll->GetN(); ip++) { if (graphAll->GetX()[ip] >= 2500) { graphAll->SetPointError(ip, 0, graphAll->GetEY()[ip] / 6.0); } // Same for pions in the very rel. rise if (graphAll->GetX()[ip] >= 25 && graphAll->GetX()[ip] < 1000) { graphAll->SetPointError(ip, 0, graphAll->GetEY()[ip] / 6.0); } // Same for protons in the MIP region if (graphAll->GetX()[ip] >= 2 && graphAll->GetX()[ip] < 4) { graphAll->SetPointError(ip, 0, graphAll->GetEY()[ip] / 6.0); } } } graphAll->Fit(funcBB, "REX0M"); funcBB->SetRange(from, to); funcBB->GetParameters(parametersBBForward); // // // for(Int_t ip = 0; ip < graphDelta->GetN(); ip++) { graphDelta->GetY()[ip] -= funcBB->Eval(graphDelta->GetX()[ip]); graphDelta->GetY()[ip] /= funcBB->Eval(graphDelta->GetX()[ip]); graphDelta->GetEY()[ip] /= funcBB->Eval(graphDelta->GetX()[ip]); } TCanvas * canvDelta_1 = new TCanvas("canvDelta_1","control histogram for Bethe-Bloch fit 1",100,10,1380,800); TCanvas * canvDelta_2 = new TCanvas("canvDelta_2","control histogram for Bethe-Bloch fit 2",100,10,1380,800); canvDelta_1->SetGrid(1, 1); canvDelta_1->SetLogx(); canvDelta_2->SetGrid(1, 1); canvDelta_2->SetLogx(); /* canvDelta->Divide(2, 1); canvDelta->GetPad(1)->SetGrid(1, 1); canvDelta->GetPad(1)->SetLogx(); canvDelta->GetPad(2)->SetGrid(1, 1); canvDelta->GetPad(2)->SetLogx(); */ canvDelta_1->cd(); //canvDelta->cd(1); TH1F *hBBdummy=new TH1F("hBBdummy","BB fit;#beta#gamma;#LTdE/dx#GT (arb. unit)",100,.8,1e4); hBBdummy->SetMinimum(45); hBBdummy->SetMaximum(120); hBBdummy->GetXaxis()->SetTitleOffset(1.1); hBBdummy->SetStats(kFALSE); hBBdummy->Draw(); graphAll->SetTitle("BB multi-graph fit"); graphAll->SetMarkerStyle(22); graphAll->SetMarkerColor(kMagenta); graphAll->Draw("p"); TLegend *leg=new TLegend(.7,.12,.89,isMC?.4:.6); leg->SetFillColor(10); leg->SetBorderSize(1); //overlay individual graphs TGraph *gr=0x0; if (isMC) { gr=(TGraph*)inputGraphs->FindObject("Protons_MC_all"); gr->SetMarkerColor(kRed); gr->SetMarkerStyle(24); gr->Draw("p"); leg->AddEntry(gr,"p (MC)","p"); gr=(TGraph*)inputGraphs->FindObject("Pions_MC_all"); gr->SetMarkerColor(kBlue); gr->SetMarkerStyle(24); gr->Draw("p"); leg->AddEntry(gr,"#pi (MC)","p"); gr=(TGraph*)inputGraphs->FindObject("Kaons_MC_all"); gr->SetMarkerColor(kGreen); gr->SetMarkerStyle(24); gr->Draw("p"); leg->AddEntry(gr,"K (MC)","p"); gr=(TGraph*)inputGraphs->FindObject("Electrons_MC_all"); gr->SetMarkerColor(kBlack); gr->SetMarkerStyle(24); gr->Draw("p"); leg->AddEntry(gr,"e (MC)","p"); } else { gr=(TGraph*)inputGraphs->FindObject("protonTpcGraph"); gr->SetMarkerColor(kRed); gr->SetMarkerStyle(26); gr->Draw("p"); leg->AddEntry(gr,"p (TPC)","p"); gr=(TGraph*)inputGraphs->FindObject("protonTofGraph"); gr->SetMarkerColor(kRed); gr->SetMarkerStyle(25); gr->Draw("p"); leg->AddEntry(gr,"p (TOF)","p"); gr=(TGraph*)inputGraphs->FindObject("protonV0Graph");//ForBBfit"); gr->SetMarkerColor(kRed); gr->SetMarkerStyle(24); gr->Draw("p"); leg->AddEntry(gr,"p (V0)","p"); gr=(TGraph*)inputGraphs->FindObject("protonV0plusTOFGraph");//ForBBfit"); gr->SetMarkerColor(kRed); gr->SetMarkerStyle(30); gr->Draw("p"); leg->AddEntry(gr,"p (V0+TOF)","p"); gr=(TGraph*)inputGraphs->FindObject("pionTpcGraph"); gr->SetMarkerColor(kBlue); gr->SetMarkerStyle(26); gr->Draw("p"); leg->AddEntry(gr,"#pi (TPC)","p"); gr=(TGraph*)inputGraphs->FindObject("pionTofGraph"); gr->SetMarkerColor(kBlue); gr->SetMarkerStyle(25); gr->Draw("p"); leg->AddEntry(gr,"#pi (TOF)","p"); gr=(TGraph*)inputGraphs->FindObject("pionV0Graph");//ForBBfit"); gr->SetMarkerColor(kBlue); gr->SetMarkerStyle(24); gr->Draw("p"); leg->AddEntry(gr,"#pi (V0)","p"); gr=(TGraph*)inputGraphs->FindObject("pionV0plusTOFGraph");//ForBBfit"); gr->SetMarkerColor(kBlue); gr->SetMarkerStyle(30); gr->Draw("p"); leg->AddEntry(gr,"#pi (V0+TOF)","p"); gr=(TGraph*)inputGraphs->FindObject("kaonTpcGraph"); gr->SetMarkerColor(kGreen); gr->SetMarkerStyle(26); gr->Draw("p"); leg->AddEntry(gr,"K (TPC)","p"); gr=(TGraph*)inputGraphs->FindObject("kaonTofGraph"); gr->SetMarkerColor(kGreen); gr->SetMarkerStyle(25); gr->Draw("p"); leg->AddEntry(gr,"K (TOF)","p"); gr=(TGraph*)inputGraphs->FindObject("electronGraph"); gr->SetMarkerColor(kBlack); gr->SetMarkerStyle(25); gr->Draw("p"); leg->AddEntry(gr,"e","p"); gr=(TGraph*)inputGraphs->FindObject("electronV0Graph");//ForBBfit"); gr->SetMarkerColor(kBlack); gr->SetMarkerStyle(24); gr->Draw("p"); leg->AddEntry(gr,"e (V0)","p"); gr=(TGraph*)inputGraphs->FindObject("electronV0plusTOFGraph");//ForBBfit"); gr->SetMarkerColor(kBlack); gr->SetMarkerStyle(30); gr->Draw("p"); leg->AddEntry(gr,"e (V0+TOF)","p"); } graphAll->GetXaxis()->SetTitle("#beta#gamma"); graphAll->GetYaxis()->SetTitle("<dE/dx> (arb. unit)"); graphAll->Draw("p"); funcBB->GetHistogram()->DrawClone("csame"); leg->AddEntry(graphAll,"used","p"); leg->AddEntry(funcBB,"fit","l"); leg->Draw("same"); canvDelta_2->cd(); //canvDelta->cd(2); TH1F *hBBresdummy=new TH1F("hBBresdummy","residuals of BB fit;#beta#gamma;(data-fit)/fit",100,.8,1e4); hBBresdummy->SetMinimum(-0.04); hBBresdummy->SetMaximum(0.04); hBBresdummy->GetXaxis()->SetTitleOffset(1.1); hBBresdummy->GetYaxis()->SetTitleOffset(0.8); hBBresdummy->SetStats(kFALSE); hBBresdummy->Draw(); graphDelta->SetTitle("residuals of BB fit to multi-graph"); graphDelta->GetXaxis()->SetTitle("#beta#gamma"); graphDelta->GetYaxis()->SetTitle("(data - fit) / fit"); graphDelta->SetMarkerStyle(22); graphDelta->SetMarkerColor(4); graphDelta->Draw("p"); TFile* fSave = TFile::Open("splines_QA_BetheBlochFit.root", "RECREATE"); fSave->cd(); canvDelta_1->Write(); canvDelta_2->Write(); TString fitResults = "Fit results:\n"; for (Int_t i = 0; i < nPar; i++) { fitResults.Append(Form("par%d:\t%f +- %f\n", i, funcBB->GetParameters()[i], funcBB->GetParErrors()[i])); } TNamed* settings = new TNamed(fitResults.Data(), fitResults.Data()); settings->Write(); fSave->Close(); printf("\n\n%s", fitResults.Data()); return funcBB; } //________________________________________________________________________ Double_t AliTPCcalibResidualPID::Lund(Double_t* xx, Double_t* par) { // bg is beta*gamma const Double_t bg = xx[0]; const Double_t beta2 = bg*bg / (1.0 + bg*bg); const Double_t a = par[0]; const Double_t b = par[1]; const Double_t c = par[2]; const Double_t e = par[3]; const Double_t f = par[4]; const Double_t d = TMath::Exp(c*(a - f) / b); const Double_t powbg = TMath::Power(1.0 + bg, c); const Double_t value = a / TMath::Power(beta2,e) + b/c * TMath::Log(powbg / (1.0 + d*powbg)); return value; } //________________________________________________________________________ Double_t AliTPCcalibResidualPID::SaturatedLund(Double_t* xx, Double_t* par) { const Double_t qq = Lund(xx, par); return qq * TMath::Exp(par[5] / qq); } //________________________________________________________________________ void AliTPCcalibResidualPID::FitSlicesY(TH2 *hist, Double_t heightFractionForRange, Int_t cutThreshold, TString fitOption, TObjArray *arr) { //heightPercentageForRange // custom slices fit // if (!hist) return; if (!arr) return; // If old style is to be used /* hist->FitSlicesY(0, 0, -1, cutThreshold, fitOption.Data(), &arr); return; */ arr->Clear(); arr->SetOwner(); arr->Expand(4); TAxis *axis=hist->GetXaxis(); const TArrayD *bins = axis->GetXbins(); TH1D** hList = new TH1D*[4]; for (Int_t i = 0; i < 4; i++) { delete gDirectory->FindObject(Form("%s_%d", hist->GetName(), i)); if (bins->fN == 0) { hList[i] = new TH1D(Form("%s_%d", hist->GetName(), i), i < 3 ? Form("Fitted value of par[%d]", i) : "Chi2/NDF", hist->GetNbinsX(), axis->GetXmin(), axis->GetXmax()); } else { hList[i] = new TH1D(Form("%s_%d", hist->GetName(), i), i < 3 ? Form("Fitted value of par[%d]", i) : "Chi2/NDF", hist->GetNbinsX(), bins->fArray); } (*arr)[i] = hList[i]; } for (Int_t ibin=axis->GetFirst(); ibin<=axis->GetLast(); ++ibin){ TH1 *h=hist->ProjectionY("_temp",ibin,ibin); if (!h) continue; if (h->GetEntries() < cutThreshold) { delete h; continue; } // Average around maximum bin -> Might catch some outliers Int_t maxBin = h->GetMaximumBin(); Double_t maxVal = h->GetBinContent(maxBin); if (maxVal < 2) { // It could happen that all entries are in overflow/underflow; don't fit in this case delete h; continue; } UChar_t usedBins = 1; if (maxBin > 1) { maxVal += h->GetBinContent(maxBin - 1); usedBins++; } if (maxBin < h->GetNbinsX()) { maxVal += h->GetBinContent(maxBin + 1); usedBins++; } maxVal /= usedBins; Double_t thresholdFraction = heightFractionForRange * maxVal; Int_t lowThrBin = TMath::Max(1, h->FindFirstBinAbove(thresholdFraction)); Int_t highThrBin = TMath::Min(h->GetNbinsX(), h->FindLastBinAbove(thresholdFraction)); Double_t lowThreshold = h->GetBinCenter(lowThrBin); Double_t highThreshold = h->GetBinCenter(highThrBin); TFitResultPtr res = h->Fit("gaus", Form("%sS", fitOption.Data()), "", lowThreshold, highThreshold); if ((Int_t)res == 0) { Int_t resBin = ibin; hList[0]->SetBinContent(resBin,res->GetParams()[0]); hList[0]->SetBinError(resBin,res->GetErrors()[0]); hList[1]->SetBinContent(resBin,res->GetParams()[1]); hList[1]->SetBinError(resBin,res->GetErrors()[1]); hList[2]->SetBinContent(resBin,res->GetParams()[2]); hList[2]->SetBinError(resBin,res->GetErrors()[2]); hList[3]->SetBinContent(resBin,res->Ndf()>0?res->Chi2()/res->Ndf():0); } delete h; } } //______________________________________________________________________________ Bool_t AliTPCcalibResidualPID::GetVertexIsOk(AliVEvent* event) const { AliAODEvent* aod = 0x0; AliESDEvent* esd = 0x0; aod = dynamic_cast<AliAODEvent*>(event); if (!aod) { esd = dynamic_cast<AliESDEvent*>(event); if (!esd) { AliError("Event seems to be neither AOD nor ESD!"); return kFALSE; } } if (fIsPbpOrpPb) { const AliVVertex* trkVtx = (aod ? dynamic_cast<const AliVVertex*>(aod->GetPrimaryVertex()) : dynamic_cast<const AliVVertex*>(esd->GetPrimaryVertex())); if (!trkVtx || trkVtx->GetNContributors() <= 0) return kFALSE; TString vtxTtl = trkVtx->GetTitle(); if (!vtxTtl.Contains("VertexerTracks")) return kFALSE; Float_t zvtx = trkVtx->GetZ(); const AliVVertex* spdVtx = (aod ? dynamic_cast<const AliVVertex*>(aod->GetPrimaryVertexSPD()) : dynamic_cast<const AliVVertex*>(esd->GetPrimaryVertexSPD())); if (spdVtx->GetNContributors() <= 0) return kFALSE; TString vtxTyp = spdVtx->GetTitle(); Double_t cov[6] = {0}; spdVtx->GetCovarianceMatrix(cov); Double_t zRes = TMath::Sqrt(cov[5]); if (vtxTyp.Contains("vertexer:Z") && (zRes > 0.25)) return kFALSE; if (TMath::Abs(spdVtx->GetZ() - trkVtx->GetZ()) > 0.5) return kFALSE; if (TMath::Abs(zvtx) > fZvtxCutEvent) //Default: 10 cm return kFALSE; return kTRUE; } // pp and PbPb const AliVVertex* primaryVertex = (aod ? dynamic_cast<const AliVVertex*>(aod->GetPrimaryVertex()) : dynamic_cast<const AliVVertex*>(esd->GetPrimaryVertexTracks())); if (!primaryVertex || primaryVertex->GetNContributors() <= 0) return kFALSE; if (TMath::Abs(primaryVertex->GetZ()) >= fZvtxCutEvent) //Default: 10 cm return kFALSE; return kTRUE; } //______________________________________________________________________________ void AliTPCcalibResidualPID::FillV0PIDlist(AliESDEvent* event) { // // Fill the PID tag list // // If no event forwarded as parameter (default), cast current input event. // Dynamic cast to ESD events (DO NOTHING for AOD events) if (!event) event = dynamic_cast<AliESDEvent *>(InputEvent()); // If this fails, do nothing if (!event) return; if (!fV0KineCuts) { AliError("V0KineCuts not available!"); return; } TString beamType(event->GetBeamType()); if (beamType.CompareTo("Pb-Pb") == 0 || beamType.CompareTo("A-A") == 0) { fV0KineCuts->SetMode(AliESDv0KineCuts::kPurity, AliESDv0KineCuts::kPbPb); } else { fV0KineCuts->SetMode(AliESDv0KineCuts::kPurity, AliESDv0KineCuts::kPP); } // V0 selection // set event fV0KineCuts->SetEvent(event); const Int_t numTracks = event->GetNumberOfTracks(); fV0tags = new Char_t[numTracks]; for (Int_t i = 0; i < numTracks; i++) fV0tags[i] = 0; fV0motherIndex = new Int_t[numTracks]; for (Int_t i = 0; i < numTracks; i++) fV0motherIndex[i] = -1; fV0motherPDG = new Int_t[numTracks]; for (Int_t i = 0; i < numTracks; i++) fV0motherPDG[i] = 0; fNumTagsStored = numTracks; // loop over V0 particles for (Int_t iv0 = 0; iv0 < event->GetNumberOfV0s(); iv0++) { AliESDv0* v0 = (AliESDv0*)event->GetV0(iv0); if (!v0) continue; // Reject onFly V0's <-> Only take V0's from offline V0 finder if (v0->GetOnFlyStatus()) continue; // Get the particle selection Bool_t foundV0 = kFALSE; Int_t pdgV0 = 0, pdgP = 0, pdgN = 0; foundV0 = fV0KineCuts->ProcessV0(v0, pdgV0, pdgP, pdgN); if (!foundV0) continue; Int_t iTrackP = v0->GetPindex(); // positive track Int_t iTrackN = v0->GetNindex(); // negative track /* AliESDtrack* trackP = event->GetTrack(iTrackP); AliESDtrack* trackN = event->GetTrack(iTrackN); if (!trackP || !trackN) continue; Float_t xy = 999, z = 999; trackP->GetImpactParameters(xy, z); Bool_t reject = kFALSE; if (TMath::Abs(z) > 1) continue; trackN->GetImpactParameters(xy, z); if (TMath::Abs(z) > 1) continue; */ // Fill the Object arrays // positive particles if (pdgP == -11) { fV0tags[iTrackP] = 14; } else if (pdgP == 211) { fV0tags[iTrackP] = 15; } else if(pdgP == 2212) { fV0tags[iTrackP] = 16; } fV0motherIndex[iTrackP] = iv0; fV0motherPDG[iTrackP] = pdgV0; // negative particles if( pdgN == 11){ fV0tags[iTrackN] = -14; } else if( pdgN == -211){ fV0tags[iTrackN] = -15; } else if( pdgN == -2212){ fV0tags[iTrackN] = -16; } fV0motherIndex[iTrackN] = iv0; fV0motherPDG[iTrackN] = pdgV0; } } //______________________________________________________________________________ void AliTPCcalibResidualPID::ClearV0PIDlist() { // // Clear the PID tag list // delete fV0tags; fV0tags = 0; delete fV0motherIndex; fV0motherIndex = 0; delete fV0motherPDG; fV0motherPDG = 0; fNumTagsStored = 0; } //______________________________________________________________________________ Char_t AliTPCcalibResidualPID::GetV0tag(Int_t trackIndex) const { // // Get the tag for the corresponding trackIndex. Returns -99 in case of invalid index/tag list. // if (trackIndex < 0 || trackIndex >= fNumTagsStored || !fV0tags) return -99; return fV0tags[trackIndex]; } //______________________________________________________________________________ Int_t AliTPCcalibResidualPID::GetV0motherIndex(Int_t trackIndex) const { // // Get the index of the V0 mother for the corresponding trackIndex. Returns -99 in case of invalid index/mother index list. // if (trackIndex < 0 || trackIndex >= fNumTagsStored || !fV0motherIndex) return -99; return fV0motherIndex[trackIndex]; } //______________________________________________________________________________ Int_t AliTPCcalibResidualPID::GetV0motherPDG(Int_t trackIndex) const { // // Get the PDG code of the V0 mother for the corresponding trackIndex. Returns 0 in case of invalid index/mother index list. // if (trackIndex < 0 || trackIndex >= fNumTagsStored || !fV0motherPDG) return 0; return fV0motherPDG[trackIndex]; } //______________________________________________________________________________ Int_t AliTPCcalibResidualPID::MergeGraphErrors(TGraphErrors* mergedGraph, TCollection* li) { // Adds all graphs with errors from the collection to this graph. // Returns the total number of poins in the result or -1 in case of an error. // TODO "Normal" merge of latest root trunk will also take into account the error bars, // so this function can be replaced by the normal root function with the latest root version. TIter next(li); while (TObject* o = next()) { TGraph *g = dynamic_cast<TGraph*>(o); if (!g) { Printf("ERROR: Cannot merge an object which doesn't inherit from TGraph found in the list"); return -1; } int n0 = mergedGraph->GetN(); int n1 = n0+g->GetN(); mergedGraph->Set(n1); Double_t * x = g->GetX(); Double_t * y = g->GetY(); Double_t * ex = g->GetEX(); Double_t * ey = g->GetEY(); for (Int_t i = 0 ; i < g->GetN(); i++) { mergedGraph->SetPoint(n0+i, x[i], y[i]); Double_t exPoint = ex ? ex[i] : 0; Double_t eyPoint = ey ? ey[i] : 0; mergedGraph->SetPointError(n0+i, exPoint, eyPoint); } } return mergedGraph->GetN(); } //________________________________________________________________________ Bool_t AliTPCcalibResidualPID::TPCCutMIGeo(const AliVTrack* track, const AliVEvent* evt, TTreeStream* streamer) { // // TPC Cut MIGeo // if (!track || !evt) return kFALSE; const Short_t sign = track->Charge(); Double_t xyz[50]; Double_t pxpypz[50]; Double_t cv[100]; track->GetXYZ(xyz); track->GetPxPyPz(pxpypz); AliExternalTrackParam* par = new AliExternalTrackParam(xyz, pxpypz, cv, sign); const AliESDtrack dummy; const Double_t magField = evt->GetMagneticField(); Double_t varGeom = dummy.GetLengthInActiveZone(par, 3, 236, magField, 0, 0); Double_t varNcr = track->GetTPCClusterInfo(3, 1); Double_t varNcls = track->GetTPCsignalN(); const Double_t varEval = 130. - 5. * TMath::Abs(1. / track->Pt()); Bool_t cutGeom = varGeom > fgCutGeo * varEval; Bool_t cutNcr = varNcr > fgCutNcr * varEval; Bool_t cutNcls = varNcls > fgCutNcl * varEval; Bool_t kout = cutGeom && cutNcr && cutNcls; if (streamer) { Double_t dedx = track->GetTPCsignal(); (*streamer)<<"tree"<< "param.="<< par<< "varGeom="<<varGeom<< "varNcr="<<varNcr<< "varNcls="<<varNcls<< "cutGeom="<<cutGeom<< "cutNcr="<<cutNcr<< "cutNcls="<<cutNcls<< "kout="<<kout<< "dedx="<<dedx<< "\n"; } delete par; return kout; }
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