// ************************************** // Task used for the correction of determiantion of reconstructed jet spectra // Compares input (gen) and output (rec) jets // ******************************************* /************************************************************************** * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * * * * Author: The ALICE Off-line Project. * * Contributors are mentioned in the code where appropriate. * * * * Permission to use, copy, modify and distribute this software and its * * documentation strictly for non-commercial purposes is hereby granted * * without fee, provided that the above copyright notice appears in all * * copies and that both the copyright notice and this permission notice * * appear in the supporting documentation. The authors make no claims * * about the suitability of this software for any purpose. It is * * provided "as is" without express or implied warranty. * **************************************************************************/ #include #include #include #include #include #include #include #include #include #include #include #include #include "TDatabasePDG.h" #include "AliAnalysisTaskJetSpectrum.h" #include "AliAnalysisManager.h" #include "AliJetFinder.h" #include "AliJetHeader.h" #include "AliJetReader.h" #include "AliJetReaderHeader.h" #include "AliUA1JetHeaderV1.h" #include "AliJet.h" #include "AliESDEvent.h" #include "AliAODEvent.h" #include "AliAODHandler.h" #include "AliAODTrack.h" #include "AliAODJet.h" #include "AliMCEventHandler.h" #include "AliMCEvent.h" #include "AliStack.h" #include "AliGenPythiaEventHeader.h" #include "AliJetKineReaderHeader.h" #include "AliGenCocktailEventHeader.h" #include "AliInputEventHandler.h" #include "AliAnalysisHelperJetTasks.h" ClassImp(AliAnalysisTaskJetSpectrum) const Float_t AliAnalysisTaskJetSpectrum::fgkJetNpartCut[AliAnalysisTaskJetSpectrum::kMaxCorrelation] = {5,10,1E+09}; AliAnalysisTaskJetSpectrum::AliAnalysisTaskJetSpectrum(): AliAnalysisTaskSE(), fJetHeaderRec(0x0), fJetHeaderGen(0x0), fAOD(0x0), fBranchRec("jets"), fConfigRec("ConfigJets.C"), fBranchGen(""), fConfigGen(""), fUseAODInput(kFALSE), fUseExternalWeightOnly(kFALSE), fLimitGenJetEta(kFALSE), fAnalysisType(0), fExternalWeight(1), fRecEtaWindow(0.5), fh1Xsec(0x0), fh1Trials(0x0), fh1PtHard(0x0), fh1PtHardNoW(0x0), fh1PtHardTrials(0x0), fh1NGenJets(0x0), fh1NRecJets(0x0), fHistList(0x0) , //////////////// fh1JetMultiplicity(0x0) , fh2ERecZRec(0x0) , fh2EGenZGen(0x0) , fh2Efficiency(0x0) , fh3EGenERecN(0x0) //////////////// { // Default constructor for(int ij = 0;ijGetTree(); Double_t xsection = 0; UInt_t ntrials = 0; if(tree){ TFile *curfile = tree->GetCurrentFile(); if (!curfile) { Error("Notify","No current file"); return kFALSE; } if(!fh1Xsec||!fh1Trials){ Printf("%s%d No Histogram fh1Xsec",(char*)__FILE__,__LINE__); return kFALSE; } TString fileName(curfile->GetName()); if(fileName.Contains("AliESDs.root")){ fileName.ReplaceAll("AliESDs.root", "pyxsec.root"); } else if(fileName.Contains("AliAOD.root")){ fileName.ReplaceAll("AliAOD.root", "pyxsec.root"); } else if(fileName.Contains("galice.root")){ // for running with galice and kinematics alone... fileName.ReplaceAll("galice.root", "pyxsec.root"); } TFile *fxsec = TFile::Open(fileName.Data()); if(!fxsec){ Printf("%s:%d %s not found in the Input",(char*)__FILE__,__LINE__,fileName.Data()); // no a severe condition return kTRUE; } TTree *xtree = (TTree*)fxsec->Get("Xsection"); if(!xtree){ Printf("%s:%d tree not found in the pyxsec.root",(char*)__FILE__,__LINE__); } xtree->SetBranchAddress("xsection",&xsection); xtree->SetBranchAddress("ntrials",&ntrials); xtree->GetEntry(0); fh1Xsec->Fill("<#sigma>",xsection); fh1Trials->Fill("#sum{ntrials}",ntrials); } return kTRUE; } void AliAnalysisTaskJetSpectrum::UserCreateOutputObjects() { // // Create the output container // // Connect the AOD if(fUseAODInput){ fAOD = dynamic_cast(InputEvent()); if(!fAOD){ Printf("%s:%d AODEvent not found in Input Manager %d",(char*)__FILE__,__LINE__,fUseAODInput); return; } // fethc the header fJetHeaderRec = dynamic_cast(fInputHandler->GetTree()->GetUserInfo()->FindObject(Form("AliJetHeader_%s",fBranchRec.Data()))); if(!fJetHeaderRec){ Printf("%s:%d Jet Header not found in the Input",(char*)__FILE__,__LINE__); } } else{ // assume that the AOD is in the general output... fAOD = AODEvent(); if(!fAOD){ Printf("%s:%d AODEvent not found in the Output",(char*)__FILE__,__LINE__); return; } fJetHeaderRec = dynamic_cast(OutputTree()->GetUserInfo()->FindObject(Form("AliJetHeader_%s",fBranchRec.Data()))); if(!fJetHeaderRec){ Printf("%s:%d Jet Header not found in the Output",(char*)__FILE__,__LINE__); } else{ if(fDebug>10)fJetHeaderRec->Dump(); } } if (fDebug > 1) printf("AnalysisTaskJetSpectrum::UserCreateOutputObjects() \n"); OpenFile(1); if(!fHistList)fHistList = new TList(); Bool_t oldStatus = TH1::AddDirectoryStatus(); TH1::AddDirectory(kFALSE); // // Histogram const Int_t nBinPt = 100; Double_t binLimitsPt[nBinPt+1]; for(Int_t iPt = 0;iPt <= nBinPt;iPt++){ if(iPt == 0){ binLimitsPt[iPt] = 0.0; } else {// 1.0 binLimitsPt[iPt] = binLimitsPt[iPt-1] + 2; } } const Int_t nBinEta = 26; Double_t binLimitsEta[nBinEta+1] = { -1.6,-1.4,-1.2,-1.0, -0.9,-0.8,-0.7,-0.6,-0.5,-0.4,-0.3,-0.2,-0.1,0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.2, 1.4, 1.6 }; const Int_t nBinPhi = 30; Double_t binLimitsPhi[nBinPhi+1]; for(Int_t iPhi = 0;iPhi<=nBinPhi;iPhi++){ if(iPhi==0){ binLimitsPhi[iPhi] = 0; } else{ binLimitsPhi[iPhi] = binLimitsPhi[iPhi-1] + 1/(Float_t)nBinPhi * TMath::Pi()*2; } } const Int_t nBinFrag = 25; fh1Xsec = new TProfile("fh1Xsec","xsec from pyxsec.root",1,0,1); fh1Xsec->GetXaxis()->SetBinLabel(1,"<#sigma>"); fh1Trials = new TH1F("fh1Trials","trials from pyxsec.root",1,0,1); fh1Trials->GetXaxis()->SetBinLabel(1,"#sum{ntrials}"); fh1PtHard = new TH1F("fh1PtHard","PYTHIA Pt hard;p_{T,hard}",nBinPt,binLimitsPt); fh1PtHardNoW = new TH1F("fh1PtHardNoW","PYTHIA Pt hard no weight;p_{T,hard}",nBinPt,binLimitsPt); fh1PtHardTrials = new TH1F("fh1PtHardTrials","PYTHIA Pt hard weight with trials;p_{T,hard}",nBinPt,binLimitsPt); fh1NGenJets = new TH1F("fh1NGenJets","N generated jets",20,-0.5,19.5); fh1NRecJets = new TH1F("fh1NRecJets","N reconstructed jets",20,-0.5,19.5); for(int ij = 0;ij i;p_{T,rec,j};#Delta R", nBinPt,binLimitsPt,60,0,6.0); fh2PtGenDeltaR[ij] = new TH2F(Form("fh2PtGenDeltaR_j%d",ij),"#Delta{R} to lower energy jets j > i;p_{T,gen,j};#Delta R", nBinPt,binLimitsPt,60,0,6.0); fh3PtRecGenHard[ij] = new TH3F(Form("fh3PtRecGenHard_j%d",ij), "Pt hard vs. pt gen vs. pt rec;p_{T,rec};p_{T,gen} (GeV/c);p_{T,hard} (GeV/c)",nBinPt,binLimitsPt,nBinPt,binLimitsPt,nBinPt,binLimitsPt); fh3PtRecGenHardNoW[ij] = new TH3F(Form("fh3PtRecGenHardNoW_j%d",ij), "Pt hard vs. pt gen vs. pt rec no weight;p_{T,rec};p_{T,gen} (GeV/c);p_{T,hard} (GeV/c)",nBinPt,binLimitsPt,nBinPt,binLimitsPt,nBinPt,binLimitsPt); fh2Frag[ij] = new TH2F(Form("fh2Frag_j%d",ij),"Jet Fragmentation;x=E_{i}/E_{jet};E_{jet};1/N_{jet}dN_{ch}/dx", nBinFrag,0.,1.,nBinPt,binLimitsPt); fh2FragLn[ij] = new TH2F(Form("fh2FragLn_j%d",ij),"Jet Fragmentation Ln;#xi=ln(E_{jet}/E_{i});E_{jet}(GeV);1/N_{jet}dN_{ch}/d#xi", nBinFrag,0.,10.,nBinPt,binLimitsPt); fh3RecEtaPhiPt[ij] = new TH3F(Form("fh3RecEtaPhiPt_j%d",ij),"Rec eta, phi, pt; #eta; #phi; p_{T,rec} (GeV/c)", nBinEta,binLimitsEta,nBinPhi,binLimitsPhi,nBinPt,binLimitsPt); fh3RecEtaPhiPtNoGen[ij] = new TH3F(Form("fh3RecEtaPhiPtNoGen_j%d",ij),"No generated for found jet Rec eta, phi, pt; #eta; #phi; p_{T,rec} (GeV/c)", nBinEta,binLimitsEta,nBinPhi,binLimitsPhi,nBinPt,binLimitsPt); fh3GenEtaPhiPtNoFound[ij] = new TH3F(Form("fh3GenEtaPhiPtNoFound_j%d",ij),"No found for generated jet eta, phi, pt; #eta; #phi; p_{T,gen} (GeV/c)", nBinEta,binLimitsEta,nBinPhi,binLimitsPhi,nBinPt,binLimitsPt); fh3GenEtaPhiPt[ij] = new TH3F(Form("fh3GenEtaPhiPt_j%d",ij),"Gen eta, phi, pt; #eta; #phi; p_{T,rec} (GeV/c)", nBinEta,binLimitsEta,nBinPhi,binLimitsPhi,nBinPt,binLimitsPt); } ///////////////////////////////////////////////////////////////// fh1JetMultiplicity = new TH1F("fh1JetMultiplicity", "Jet Multiplicity", 51, 0., 50.); fh2ERecZRec = new TH2F("fh2ERecZRec", " ; E^{jet}_{rec} [GeV]; z^{lp}_{rec}", 100, 0., 250., 100, 0., 2.); fh2EGenZGen = new TH2F("fh2EGenZGen", " ; E^{jet}_{gen} [GeV]; z^{lp}_{gen}", 100, 0., 250., 100, 0., 2.); fh2Efficiency = new TH2F("fh2Efficiency", "ERec/EGen;E^{jet}_{gen} [GeV];E^{jet}_{rec}/E^{jet}_{gen}", 100, 0., 250., 100, 0., 1.5); fh3EGenERecN = new TH3F("fh3EGenERecN", "Efficiency vs. Jet Multiplicity", 100, 0., 250., 100, 0., 250., 51, 0., 50.); // Response map //arrays for bin limits const Int_t nbin[4] = {100, 100, 100, 100}; Double_t vLowEdge[4] = {0.,0.,0.,0.}; Double_t vUpEdge[4] = {250., 250., 1., 1.}; for(int ic = 0;ic < kMaxCorrelation;ic++){ fhnCorrelation[ic] = new THnSparseF(Form("fhnCorrelation_%d",ic), "Response Map", 4, nbin, vLowEdge, vUpEdge); if(ic==0) fhnCorrelation[ic]->SetTitle(Form("ResponseMap 0 <= npart <= %.0E",fgkJetNpartCut[ic])); else fhnCorrelation[ic]->SetTitle(Form("ResponseMap %.0E < npart <= %.0E",fgkJetNpartCut[ic-1],fgkJetNpartCut[ic])); } const Int_t saveLevel = 3; // large save level more histos if(saveLevel>0){ fHistList->Add(fh1Xsec); fHistList->Add(fh1Trials); fHistList->Add(fh1PtHard); fHistList->Add(fh1PtHardNoW); fHistList->Add(fh1PtHardTrials); fHistList->Add(fh1NGenJets); fHistList->Add(fh1NRecJets); //////////////////////// fHistList->Add(fh1JetMultiplicity); fHistList->Add(fh2ERecZRec); fHistList->Add(fh2EGenZGen); fHistList->Add(fh2Efficiency); fHistList->Add(fh3EGenERecN); for(int ic = 0;ic < kMaxCorrelation;++ic){ fHistList->Add(fhnCorrelation[ic]); } //////////////////////// for(int ij = 0;ijAdd(fh1E[ij]); fHistList->Add(fh1PtRecIn[ij]); fHistList->Add(fh1PtRecOut[ij]); fHistList->Add(fh1PtGenIn[ij]); fHistList->Add(fh1PtGenOut[ij]); fHistList->Add(fh2PtFGen[ij]); fHistList->Add(fh2PhiFGen[ij]); fHistList->Add(fh2EtaFGen[ij]); fHistList->Add(fh2PtGenDeltaEta[ij]); fHistList->Add(fh2PtGenDeltaPhi[ij]); fHistList->Add(fh2PtRecDeltaR[ij]); fHistList->Add(fh2PtGenDeltaR[ij]); fHistList->Add(fh3RecEtaPhiPt[ij]); fHistList->Add(fh3GenEtaPhiPt[ij]); if(saveLevel>2){ fHistList->Add(fh3RecEtaPhiPtNoGen[ij]); fHistList->Add(fh3GenEtaPhiPtNoFound[ij]); } } } // =========== Switch on Sumw2 for all histos =========== for (Int_t i=0; iGetEntries(); ++i) { TH1 *h1 = dynamic_cast(fHistList->At(i)); if (h1){ // Printf("%s ",h1->GetName()); h1->Sumw2(); continue; } THnSparse *hn = dynamic_cast(fHistList->At(i)); if(hn)hn->Sumw2(); } TH1::AddDirectory(oldStatus); } void AliAnalysisTaskJetSpectrum::Init() { // // Initialization // Printf(">>> AnalysisTaskJetSpectrum::Init() debug level %d\n",fDebug); if (fDebug > 1) printf("AnalysisTaskJetSpectrum::Init() \n"); } void AliAnalysisTaskJetSpectrum::UserExec(Option_t */*option*/) { // // Execute analysis for current event // if (fDebug > 1)printf("Analysing event # %5d\n", (Int_t) fEntry); AliAODHandler *aodH = dynamic_cast(AliAnalysisManager::GetAnalysisManager()->GetOutputEventHandler()); if(!aodH){ Printf("%s:%d no output aodHandler found Jet",(char*)__FILE__,__LINE__); return; } // aodH->SelectEvent(kTRUE); // ========= These pointers need to be valid in any case ======= /* AliUA1JetHeaderV1 *jhRec = dynamic_cast(fJetFinderRec->GetHeader()); if(!jhRec){ Printf("%s:%d No Jet Header found",(char*)__FILE__,__LINE__); return; } */ if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__); TClonesArray *aodRecJets = dynamic_cast(fAOD->FindListObject(fBranchRec.Data())); if(!aodRecJets){ Printf("%s:%d no reconstructed Jet array with name %s in AOD",(char*)__FILE__,__LINE__,fBranchRec.Data()); return; } // ==== General variables needed // We use statice array, not to fragment the memory AliAODJet genJets[kMaxJets]; Int_t nGenJets = 0; AliAODJet recJets[kMaxJets]; Int_t nRecJets = 0; /////////////////////////// Int_t nTracks = 0; ////////////////////////// Double_t eventW = 1; Double_t ptHard = 0; Double_t nTrials = 1; // Trials for MC trigger weigth for real data if(fUseExternalWeightOnly){ eventW = fExternalWeight; } if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__); if((fAnalysisType&kAnaMC)==kAnaMC){ // this is the part we only use when we have MC information AliMCEvent* mcEvent = MCEvent(); // AliStack *pStack = 0; if(!mcEvent){ Printf("%s:%d no mcEvent",(char*)__FILE__,__LINE__); return; } AliGenPythiaEventHeader* pythiaGenHeader = AliAnalysisHelperJetTasks::GetPythiaEventHeader(mcEvent); if(!pythiaGenHeader){ return; } nTrials = pythiaGenHeader->Trials(); ptHard = pythiaGenHeader->GetPtHard(); if(fDebug>20)AliAnalysisHelperJetTasks::PrintStack(mcEvent); if(!fUseExternalWeightOnly){ // case were we combine more than one p_T hard bin... } // fetch the pythia generated jets only to be used here Int_t nPythiaGenJets = pythiaGenHeader->NTriggerJets(); AliAODJet pythiaGenJets[kMaxJets]; Int_t iCount = 0; for(int ip = 0;ip < nPythiaGenJets;++ip){ if(iCount>=kMaxJets)continue; Float_t p[4]; pythiaGenHeader->TriggerJet(ip,p); pythiaGenJets[iCount].SetPxPyPzE(p[0],p[1],p[2],p[3]); if(fLimitGenJetEta){ if(pythiaGenJets[iCount].Eta()>fJetHeaderRec->GetJetEtaMax()|| pythiaGenJets[iCount].Eta()GetJetEtaMin())continue; } if(fBranchGen.Length()==0){ // if we have MC particles and we do not read from the aod branch // use the pythia jets genJets[iCount].SetPxPyPzE(p[0],p[1],p[2],p[3]); } iCount++; } if(fBranchGen.Length()==0)nGenJets = iCount; }// (fAnalysisType&kMC)==kMC) if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__); fh1PtHard->Fill(ptHard,eventW); fh1PtHardNoW->Fill(ptHard,1); fh1PtHardTrials->Fill(ptHard,nTrials); // If we set a second branch for the input jets fetch this if(fBranchGen.Length()>0){ TClonesArray *aodGenJets = dynamic_cast(fAOD->FindListObject(fBranchGen.Data())); if(aodGenJets){ Int_t iCount = 0; for(int ig = 0;ig < aodGenJets->GetEntries();++ig){ if(iCount>=kMaxJets)continue; AliAODJet *tmp = dynamic_cast(aodGenJets->At(ig)); if(!tmp)continue; if(fLimitGenJetEta){ if(tmp->Eta()>fJetHeaderRec->GetJetEtaMax()|| tmp->Eta()GetJetEtaMin())continue; } genJets[iCount] = *tmp; iCount++; } nGenJets = iCount; } else{ Printf("%s:%d Generated jet branch %s not found",(char*)__FILE__,__LINE__,fBranchGen.Data()); } } fh1NGenJets->Fill(nGenJets); // We do not want to exceed the maximum jet number nGenJets = TMath::Min(nGenJets,kMaxJets); // Fetch the reconstructed jets... nRecJets = aodRecJets->GetEntries(); fh1NRecJets->Fill(nRecJets); nRecJets = TMath::Min(nRecJets,kMaxJets); ////////////////////////////////////////// nTracks = fAOD->GetNumberOfTracks(); /////////////////////////////////////////// for(int ir = 0;ir < nRecJets;++ir){ AliAODJet *tmp = dynamic_cast(aodRecJets->At(ir)); if(!tmp)continue; recJets[ir] = *tmp; } if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__); // Relate the jets Int_t iGenIndex[kMaxJets]; // Index of the generated jet for i-th rec -1 if none Int_t iRecIndex[kMaxJets]; // Index of the rec jet for i-th gen -1 if none for(int i = 0;i 10)Printf("%s:%d",(char*)__FILE__,__LINE__); if(fDebug){ for(int i = 0;i=0)Printf("iGenFound: %d -> %d",i,iGenIndex[i]); if(iRecIndex[i]>=0)Printf("iRecFound: %d -> %d",i,iRecIndex[i]); } } // loop over reconstructed jets for(int ir = 0;ir < nRecJets;++ir){ Double_t ptRec = recJets[ir].Pt(); Double_t phiRec = recJets[ir].Phi(); if(phiRec<0)phiRec+=TMath::Pi()*2.; Double_t etaRec = recJets[ir].Eta(); if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__); fh1E[ir]->Fill(recJets[ir].E(),eventW); fh1PtRecIn[ir]->Fill(ptRec,eventW); fh3RecEtaPhiPt[ir]->Fill(etaRec,phiRec,ptRec,eventW); for(int irr = ir+1;irrFill(recJets[irr].Pt(),recJets[ir].DeltaR(&recJets[irr])); } // Fill Correlation Int_t ig = iGenIndex[ir]; if(ig>=0 && ig 10)Printf("%s:%d",(char*)__FILE__,__LINE__); if (fDebug > 10)Printf("%s:%d ig = %d ir = %d",(char*)__FILE__,__LINE__,ig,ir); fh1PtRecOut[ir]->Fill(ptRec,eventW); Double_t ptGen = genJets[ig].Pt(); Double_t phiGen = genJets[ig].Phi(); if(phiGen<0)phiGen+=TMath::Pi()*2.; Double_t etaGen = genJets[ig].Eta(); // // we accept only jets which are detected within a smaller window, to avoid ambigious pair association at the edges of the acceptance // if(TMath::Abs(etaRec)Fill(ptRec,ptGen,eventW); fh2PhiFGen[ir]->Fill(phiRec,phiGen,eventW); fh2EtaFGen[ir]->Fill(etaRec,etaGen,eventW); fh2PtGenDeltaEta[ir]->Fill(ptGen,etaGen-etaRec,eventW); fh2PtGenDeltaPhi[ir]->Fill(ptGen,phiGen-phiRec,eventW); fh3PtRecGenHard[ir]->Fill(ptRec,ptGen,ptHard,eventW); fh3PtRecGenHardNoW[ir]->Fill(ptRec,ptGen,ptHard,1); ///////////////////////////////////////////////////// Double_t eRec = recJets[ir].E(); Double_t eGen = genJets[ig].E(); fh2Efficiency->Fill(eGen, eRec/eGen); if (eGen>=0. && eGen<=250.){ Double_t eLeading = -1; Double_t ptleading = -1; Int_t nPart=0; // loop over tracks for (Int_t it = 0; it< nTracks; it++){ // if (fAOD->GetTrack(it)->E() > eGen) continue; // CKB. Not allowed! cannot cut on gen properties in real events! Double_t phiTrack = fAOD->GetTrack(it)->Phi(); if (phiTrack<0) phiTrack+=TMath::Pi()*2.; Double_t etaTrack = fAOD->GetTrack(it)->Eta(); Float_t deta = etaRec - etaTrack; Float_t dphi = TMath::Abs(phiRec - phiTrack); Float_t r = TMath::Sqrt(deta*deta + dphi*dphi); // find leading particle if (r<0.4 && fAOD->GetTrack(it)->E()>eLeading){ eLeading = fAOD->GetTrack(it)->E(); ptleading = fAOD->GetTrack(it)->Pt(); } // if (fAOD->GetTrack(it)->Pt()>0.03*eGen && fAOD->GetTrack(it)->E()<=eGen && r<0.7) // CKB cannot cut on gen properties if (fAOD->GetTrack(it)->Pt()>0.03*eRec && fAOD->GetTrack(it)->E()<=eRec && r<0.7) nPart++; } if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__); // fill Response Map (4D histogram) and Energy vs z distributions Double_t var[4] = {eGen, eRec, ptleading/eGen, ptleading/eRec}; fh2ERecZRec->Fill(var[1],var[3]); // this has to be filled always in the real case... fh2EGenZGen->Fill(var[0],var[2]); fh1JetMultiplicity->Fill(nPart); fh3EGenERecN->Fill(eGen, eRec, nPart); for(int ic = 0;ic Fill(var); break; } } } }// if etarec in window } //////////////////////////////////////////////////// else{ fh3RecEtaPhiPtNoGen[ir]->Fill(etaRec,phiRec,ptRec,eventW); } }// loop over reconstructed jets if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__); for(int ig = 0;ig < nGenJets;++ig){ Double_t ptGen = genJets[ig].Pt(); // Fill Correlation Double_t phiGen = genJets[ig].Phi(); if(phiGen<0)phiGen+=TMath::Pi()*2.; Double_t etaGen = genJets[ig].Eta(); fh3GenEtaPhiPt[ig]->Fill(etaGen,phiGen,ptGen,eventW); fh1PtGenIn[ig]->Fill(ptGen,eventW); for(int igg = ig+1;iggFill(genJets[igg].Pt(),genJets[ig].DeltaR(&genJets[igg])); } Int_t ir = iRecIndex[ig]; if(ir>=0&&irFill(ptGen,eventW); } else{ fh3GenEtaPhiPtNoFound[ig]->Fill(etaGen,phiGen,ptGen,eventW); } }// loop over reconstructed jets if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__); PostData(1, fHistList); } void AliAnalysisTaskJetSpectrum::Terminate(Option_t */*option*/) { // Terminate analysis // if (fDebug > 1) printf("AnalysisJetSpectrum: Terminate() \n"); } void AliAnalysisTaskJetSpectrum::GetClosestJets(AliAODJet *genJets,const Int_t &nGenJets, AliAODJet *recJets,const Int_t &nRecJets, Int_t *iGenIndex,Int_t *iRecIndex,Int_t iDebug){ // // Relate the two input jet Arrays // // // The association has to be unique // So check in two directions // find the closest rec to a gen // and check if there is no other rec which is closer // Caveat: Close low energy/split jets may disturb this correlation // Idea: search in two directions generated e.g (a--e) and rec (1--3) // Fill a matrix with Flags (1 for closest rec jet, 2 for closest rec jet // in the end we have something like this // 1 2 3 // ------------ // a| 3 2 0 // b| 0 1 0 // c| 0 0 3 // d| 0 0 1 // e| 0 0 1 // Topology // 1 2 // a b // // d c // 3 e // Only entries with "3" match from both sides const int kMode = 3; Int_t iFlag[kMaxJets][kMaxJets]; for(int i = 0;i < kMaxJets;++i){ iRecIndex[i] = -1; iGenIndex[i] = -1; for(int j = 0;j < kMaxJets;++j)iFlag[i][j] = 0; } if(nRecJets==0)return; if(nGenJets==0)return; const Float_t maxDist = 0.5; // find the closest distance to the generated for(int ig = 0;ig1)Printf("Gen (%d) p_T %3.3f eta %3.3f ph %3.3f ",ig,genJets[ig].Pt(),genJets[ig].Eta(),genJets[ig].Phi()); for(int ir = 0;ir1)Printf("Rec (%d) p_T %3.3f eta %3.3f ph %3.3f ",ir,recJets[ir].Pt(),recJets[ir].Eta(),recJets[ir].Phi()); if(iDebug>1)Printf("Distance (%d)--(%d) %3.3f ",ig,ir,dR); if(dR=0)iFlag[ig][iRecIndex[ig]]+=1; // reset... iRecIndex[ig] = -1; } // other way around for(int ir = 0;ir=0)iFlag[iGenIndex[ir]][ir]+=2; // reset... iGenIndex[ir] = -1; } // check for "true" correlations if(iDebug>1)Printf(">>>>>> Matrix"); for(int ig = 0;ig1)printf("XFL %d ",iFlag[ig][ir]); if(kMode==3){ // we have a uniqie correlation if(iFlag[ig][ir]==3){ iGenIndex[ir] = ig; iRecIndex[ig] = ir; } } else{ // we just take the correlation from on side if((iFlag[ig][ir]&2)==2){ iGenIndex[ir] = ig; } if((iFlag[ig][ir]&1)==1){ iRecIndex[ig] = ir; } } } if(iDebug>1)printf("\n"); } }