1 // **************************************
2 // Task used for the correction of determiantion of reconstructed jet spectra
3 // Compares input (gen) and output (rec) jets
4 // *******************************************
7 /**************************************************************************
8 * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
10 * Author: The ALICE Off-line Project. *
11 * Contributors are mentioned in the code where appropriate. *
13 * Permission to use, copy, modify and distribute this software and its *
14 * documentation strictly for non-commercial purposes is hereby granted *
15 * without fee, provided that the above copyright notice appears in all *
16 * copies and that both the copyright notice and this permission notice *
17 * appear in the supporting documentation. The authors make no claims *
18 * about the suitability of this software for any purpose. It is *
19 * provided "as is" without express or implied warranty. *
20 **************************************************************************/
25 #include <TInterpreter.h>
33 #include <TLorentzVector.h>
34 #include <TClonesArray.h>
35 #include "TDatabasePDG.h"
37 #include "AliAnalysisTaskJetSpectrum.h"
38 #include "AliAnalysisManager.h"
39 #include "AliJetFinder.h"
40 #include "AliJetHeader.h"
41 #include "AliJetReader.h"
42 #include "AliJetReaderHeader.h"
43 #include "AliUA1JetHeaderV1.h"
45 #include "AliESDEvent.h"
46 #include "AliAODEvent.h"
47 #include "AliAODHandler.h"
48 #include "AliAODTrack.h"
49 #include "AliAODJet.h"
50 #include "AliMCEventHandler.h"
51 #include "AliMCEvent.h"
53 #include "AliGenPythiaEventHeader.h"
54 #include "AliJetKineReaderHeader.h"
55 #include "AliGenCocktailEventHeader.h"
56 #include "AliInputEventHandler.h"
58 #include "AliAnalysisHelperJetTasks.h"
60 ClassImp(AliAnalysisTaskJetSpectrum)
62 const Float_t AliAnalysisTaskJetSpectrum::fgkJetNpartCut[AliAnalysisTaskJetSpectrum::kMaxCorrelation] = {5,10,1E+09};
64 AliAnalysisTaskJetSpectrum::AliAnalysisTaskJetSpectrum(): AliAnalysisTaskSE(),
69 fConfigRec("ConfigJets.C"),
73 fUseExternalWeightOnly(kFALSE),
74 fLimitGenJetEta(kFALSE),
87 fh1JetMultiplicity(0x0) ,
94 // Default constructor
95 for(int ij = 0;ij<kMaxJets;++ij){
96 fh1E[ij] = fh1PtRecIn[ij] = fh1PtRecOut[ij] = fh1PtGenIn[ij] = fh1PtGenOut[ij] = 0;
97 fh2PtFGen[ij] = fh2PhiFGen[ij] = fh2EtaFGen[ij] = fh2Frag[ij] = fh2FragLn[ij] = fh2PtRecDeltaR[ij] = fh2PtGenDeltaR[ij] = fh2PtGenDeltaPhi[ij] = fh2PtGenDeltaEta[ij] = 0;
98 fh3PtRecGenHard[ij] = fh3PtRecGenHardNoW[ij] = fh3RecEtaPhiPt[ij] = fh3RecEtaPhiPtNoGen[ij] =fh3GenEtaPhiPtNoFound[ij] = fh3GenEtaPhiPt[ij] = 0;
100 for(int ic = 0;ic < kMaxCorrelation;ic++){
101 fhnCorrelation[ic] = 0;
106 AliAnalysisTaskJetSpectrum::AliAnalysisTaskJetSpectrum(const char* name):
107 AliAnalysisTaskSE(name),
112 fConfigRec("ConfigJets.C"),
115 fUseAODInput(kFALSE),
116 fUseExternalWeightOnly(kFALSE),
117 fLimitGenJetEta(kFALSE),
125 fh1PtHardTrials(0x0),
130 fh1JetMultiplicity(0x0) ,
137 // Default constructor
138 for(int ij = 0;ij<kMaxJets;++ij){
139 fh1E[ij] = fh1PtRecIn[ij] = fh1PtRecOut[ij] = fh1PtGenIn[ij] = fh1PtGenOut[ij] = 0;
140 fh2PtFGen[ij] = fh2PhiFGen[ij] = fh2EtaFGen[ij] = fh2Frag[ij] = fh2FragLn[ij] = fh2PtGenDeltaPhi[ij] = fh2PtGenDeltaEta[ij] = fh2PtRecDeltaR[ij] = fh2PtGenDeltaR[ij] =0;
142 fh3PtRecGenHard[ij] = fh3PtRecGenHardNoW[ij] = fh3RecEtaPhiPt[ij] = fh3RecEtaPhiPtNoGen[ij] =fh3GenEtaPhiPtNoFound[ij] = fh3GenEtaPhiPt[ij] = 0;
145 for(int ic = 0;ic < kMaxCorrelation;ic++){
146 fhnCorrelation[ic] = 0;
149 DefineOutput(1, TList::Class());
154 Bool_t AliAnalysisTaskJetSpectrum::Notify()
157 // Implemented Notify() to read the cross sections
158 // and number of trials from pyxsec.root
160 TTree *tree = AliAnalysisManager::GetAnalysisManager()->GetTree();
161 Double_t xsection = 0;
164 TFile *curfile = tree->GetCurrentFile();
166 Error("Notify","No current file");
169 if(!fh1Xsec||!fh1Trials){
170 Printf("%s%d No Histogram fh1Xsec",(char*)__FILE__,__LINE__);
174 TString fileName(curfile->GetName());
175 if(fileName.Contains("AliESDs.root")){
176 fileName.ReplaceAll("AliESDs.root", "pyxsec.root");
178 else if(fileName.Contains("AliAOD.root")){
179 fileName.ReplaceAll("AliAOD.root", "pyxsec.root");
181 else if(fileName.Contains("galice.root")){
182 // for running with galice and kinematics alone...
183 fileName.ReplaceAll("galice.root", "pyxsec.root");
185 TFile *fxsec = TFile::Open(fileName.Data());
187 Printf("%s:%d %s not found in the Input",(char*)__FILE__,__LINE__,fileName.Data());
188 // no a severe condition
191 TTree *xtree = (TTree*)fxsec->Get("Xsection");
193 Printf("%s:%d tree not found in the pyxsec.root",(char*)__FILE__,__LINE__);
195 xtree->SetBranchAddress("xsection",&xsection);
196 xtree->SetBranchAddress("ntrials",&ntrials);
198 fh1Xsec->Fill("<#sigma>",xsection);
199 fh1Trials->Fill("#sum{ntrials}",ntrials);
205 void AliAnalysisTaskJetSpectrum::UserCreateOutputObjects()
209 // Create the output container
216 fAOD = dynamic_cast<AliAODEvent*>(InputEvent());
218 Printf("%s:%d AODEvent not found in Input Manager %d",(char*)__FILE__,__LINE__,fUseAODInput);
222 fJetHeaderRec = dynamic_cast<AliJetHeader*>(fInputHandler->GetTree()->GetUserInfo()->FindObject(Form("AliJetHeader_%s",fBranchRec.Data())));
224 Printf("%s:%d Jet Header not found in the Input",(char*)__FILE__,__LINE__);
228 // assume that the AOD is in the general output...
231 Printf("%s:%d AODEvent not found in the Output",(char*)__FILE__,__LINE__);
234 fJetHeaderRec = dynamic_cast<AliJetHeader*>(OutputTree()->GetUserInfo()->FindObject(Form("AliJetHeader_%s",fBranchRec.Data())));
236 Printf("%s:%d Jet Header not found in the Output",(char*)__FILE__,__LINE__);
239 if(fDebug>10)fJetHeaderRec->Dump();
245 if (fDebug > 1) printf("AnalysisTaskJetSpectrum::UserCreateOutputObjects() \n");
248 if(!fHistList)fHistList = new TList();
250 Bool_t oldStatus = TH1::AddDirectoryStatus();
251 TH1::AddDirectory(kFALSE);
256 const Int_t nBinPt = 100;
257 Double_t binLimitsPt[nBinPt+1];
258 for(Int_t iPt = 0;iPt <= nBinPt;iPt++){
260 binLimitsPt[iPt] = 0.0;
263 binLimitsPt[iPt] = binLimitsPt[iPt-1] + 2.5;
267 const Int_t nBinEta = 26;
268 Double_t binLimitsEta[nBinEta+1] = {
270 -0.9,-0.8,-0.7,-0.6,-0.5,-0.4,-0.3,-0.2,-0.1,0.0,
271 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9,
276 const Int_t nBinPhi = 30;
277 Double_t binLimitsPhi[nBinPhi+1];
278 for(Int_t iPhi = 0;iPhi<=nBinPhi;iPhi++){
280 binLimitsPhi[iPhi] = 0;
283 binLimitsPhi[iPhi] = binLimitsPhi[iPhi-1] + 1/(Float_t)nBinPhi * TMath::Pi()*2;
287 const Int_t nBinFrag = 25;
290 fh1Xsec = new TProfile("fh1Xsec","xsec from pyxsec.root",1,0,1);
291 fh1Xsec->GetXaxis()->SetBinLabel(1,"<#sigma>");
293 fh1Trials = new TH1F("fh1Trials","trials from pyxsec.root",1,0,1);
294 fh1Trials->GetXaxis()->SetBinLabel(1,"#sum{ntrials}");
296 fh1PtHard = new TH1F("fh1PtHard","PYTHIA Pt hard;p_{T,hard}",nBinPt,binLimitsPt);
298 fh1PtHardNoW = new TH1F("fh1PtHardNoW","PYTHIA Pt hard no weight;p_{T,hard}",nBinPt,binLimitsPt);
300 fh1PtHardTrials = new TH1F("fh1PtHardTrials","PYTHIA Pt hard weight with trials;p_{T,hard}",nBinPt,binLimitsPt);
302 fh1NGenJets = new TH1F("fh1NGenJets","N generated jets",20,-0.5,19.5);
304 fh1NRecJets = new TH1F("fh1NRecJets","N reconstructed jets",20,-0.5,19.5);
307 for(int ij = 0;ij<kMaxJets;++ij){
308 fh1E[ij] = new TH1F(Form("fh1E_j%d",ij),"Jet Energy;E_{jet} (GeV);N",nBinPt,binLimitsPt);
309 fh1PtRecIn[ij] = new TH1F(Form("fh1PtRecIn_j%d",ij),"rec p_T input ;p_{T,rec}",nBinPt,binLimitsPt);
310 fh1PtRecOut[ij] = new TH1F(Form("fh1PtRecOut_j%d",ij),"rec p_T output jets;p_{T,rec}",nBinPt,binLimitsPt);
311 fh1PtGenIn[ij] = new TH1F(Form("fh1PtGenIn_j%d",ij),"found p_T input ;p_{T,gen}",nBinPt,binLimitsPt);
312 fh1PtGenOut[ij] = new TH1F(Form("fh1PtGenOut_j%d",ij),"found p_T output jets;p_{T,gen}",nBinPt,binLimitsPt);
316 fh2PtFGen[ij] = new TH2F(Form("fh2PtFGen_j%d",ij),"Pt Found vs. gen;p_{T,rec} (GeV/c);p_{T,gen} (GeV/c)",
317 nBinPt,binLimitsPt,nBinPt,binLimitsPt);
319 fh2PhiFGen[ij] = new TH2F(Form("fh2PhiFGen_j%d",ij),"#phi Found vs. gen;#phi_{rec};#phi_{gen}",
320 nBinPhi,binLimitsPhi,nBinPhi,binLimitsPhi);
322 fh2EtaFGen[ij] = new TH2F(Form("fh2EtaFGen_j%d",ij),"#eta Found vs. gen;#eta_{rec};#eta_{gen}",
323 nBinEta,binLimitsEta,nBinEta,binLimitsEta);
326 fh2PtGenDeltaPhi[ij] = new TH2F(Form("fh2PtGenDeltaPhi_j%d",ij),"delta phi vs. P_{T,gen};p_{T,gen} (GeV/c);#phi_{gen}-#phi_{rec}",
327 nBinPt,binLimitsPt,100,-1.0,1.0);
328 fh2PtGenDeltaEta[ij] = new TH2F(Form("fh2PtGenDeltaEta_j%d",ij),"delta eta vs. p_{T,gen};p_{T,gen} (GeV/c);#eta_{gen}-#eta_{rec}",
329 nBinPt,binLimitsPt,100,-1.0,1.0);
332 fh2PtRecDeltaR[ij] = new TH2F(Form("fh2PtRecDeltaR_j%d",ij),"#DeltaR to lower energy jets j > i;p_{T,rec,j};#Delta R",
333 nBinPt,binLimitsPt,60,0,6.0);
334 fh2PtGenDeltaR[ij] = new TH2F(Form("fh2PtGenDeltaR_j%d",ij),"#DeltaR to lower energy jets j > i;p_{T,gen,j};#Delta R",
335 nBinPt,binLimitsPt,60,0,6.0);
339 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);
343 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);
346 fh2Frag[ij] = new TH2F(Form("fh2Frag_j%d",ij),"Jet Fragmentation;x=E_{i}/E_{jet};E_{jet};1/N_{jet}dN_{ch}/dx",
347 nBinFrag,0.,1.,nBinPt,binLimitsPt);
349 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",
350 nBinFrag,0.,10.,nBinPt,binLimitsPt);
352 fh3RecEtaPhiPt[ij] = new TH3F(Form("fh3RecEtaPhiPt_j%d",ij),"Rec eta, phi, pt; #eta; #phi; p_{T,rec} (GeV/c)",
353 nBinEta,binLimitsEta,nBinPhi,binLimitsPhi,nBinPt,binLimitsPt);
357 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)",
358 nBinEta,binLimitsEta,nBinPhi,binLimitsPhi,nBinPt,binLimitsPt);
361 fh3GenEtaPhiPtNoFound[ij] = new TH3F(Form("fh3GenEtaPhiPtNoFound_j%d",ij),"No found for generated jet eta, phi, pt; #eta; #phi; p_{T,gen} (GeV/c)",
362 nBinEta,binLimitsEta,nBinPhi,binLimitsPhi,nBinPt,binLimitsPt);
366 fh3GenEtaPhiPt[ij] = new TH3F(Form("fh3GenEtaPhiPt_j%d",ij),"Gen eta, phi, pt; #eta; #phi; p_{T,} (GeV/c)",
367 nBinEta,binLimitsEta,nBinPhi,binLimitsPhi,nBinPt,binLimitsPt);
371 /////////////////////////////////////////////////////////////////
372 fh1JetMultiplicity = new TH1F("fh1JetMultiplicity", "Jet Multiplicity", 51, 0., 50.);
374 fh2ERecZRec = new TH2F("fh2ERecZRec", " ; E^{jet}_{rec} [GeV]; z^{lp}_{rec}", 100, 0., 250., 100, 0., 2.);
375 fh2EGenZGen = new TH2F("fh2EGenZGen", " ; E^{jet}_{gen} [GeV]; z^{lp}_{gen}", 100, 0., 250., 100, 0., 2.);
376 fh2Efficiency = new TH2F("fh2Efficiency", "ERec/EGen;E^{jet}_{gen} [GeV];E^{jet}_{rec}/E^{jet}_{gen}", 100, 0., 250., 100, 0., 1.5);
378 fh3EGenERecN = new TH3F("fh3EGenERecN", "Efficiency vs. Jet Multiplicity", 100, 0., 250., 100, 0., 250., 51, 0., 50.);
381 //arrays for bin limits
382 const Int_t nbin[4] = {100, 100, 100, 100};
383 Double_t vLowEdge[4] = {0.,0.,0.,0.};
384 Double_t vUpEdge[4] = {250., 250., 1., 1.};
386 for(int ic = 0;ic < kMaxCorrelation;ic++){
387 fhnCorrelation[ic] = new THnSparseF(Form("fhnCorrelation_%d",ic), "Response Map", 4, nbin, vLowEdge, vUpEdge);
388 if(ic==0) fhnCorrelation[ic]->SetTitle(Form("ResponseMap 0 <= npart <= %.0E",fgkJetNpartCut[ic]));
389 else fhnCorrelation[ic]->SetTitle(Form("ResponseMap %.0E < npart <= %.0E",fgkJetNpartCut[ic-1],fgkJetNpartCut[ic]));
391 const Int_t saveLevel = 3; // large save level more histos
393 fHistList->Add(fh1Xsec);
394 fHistList->Add(fh1Trials);
395 fHistList->Add(fh1PtHard);
396 fHistList->Add(fh1PtHardNoW);
397 fHistList->Add(fh1PtHardTrials);
398 fHistList->Add(fh1NGenJets);
399 fHistList->Add(fh1NRecJets);
400 ////////////////////////
401 fHistList->Add(fh1JetMultiplicity);
402 fHistList->Add(fh2ERecZRec);
403 fHistList->Add(fh2EGenZGen);
404 fHistList->Add(fh2Efficiency);
405 fHistList->Add(fh3EGenERecN);
407 for(int ic = 0;ic < kMaxCorrelation;++ic){
408 fHistList->Add(fhnCorrelation[ic]);
410 ////////////////////////
411 for(int ij = 0;ij<kMaxJets;++ij){
412 fHistList->Add(fh1E[ij]);
413 fHistList->Add(fh1PtRecIn[ij]);
414 fHistList->Add(fh1PtRecOut[ij]);
415 fHistList->Add(fh1PtGenIn[ij]);
416 fHistList->Add(fh1PtGenOut[ij]);
417 fHistList->Add(fh2PtFGen[ij]);
418 fHistList->Add(fh2PhiFGen[ij]);
419 fHistList->Add(fh2EtaFGen[ij]);
420 fHistList->Add(fh2PtGenDeltaEta[ij]);
421 fHistList->Add(fh2PtGenDeltaPhi[ij]);
422 fHistList->Add(fh2PtRecDeltaR[ij]);
423 fHistList->Add(fh2PtGenDeltaR[ij]);
424 fHistList->Add(fh3RecEtaPhiPt[ij]);
425 fHistList->Add(fh3GenEtaPhiPt[ij]);
427 fHistList->Add(fh3RecEtaPhiPtNoGen[ij]);
428 fHistList->Add(fh3GenEtaPhiPtNoFound[ij]);
433 // =========== Switch on Sumw2 for all histos ===========
434 for (Int_t i=0; i<fHistList->GetEntries(); ++i) {
435 TH1 *h1 = dynamic_cast<TH1*>(fHistList->At(i));
437 // Printf("%s ",h1->GetName());
441 THnSparse *hn = dynamic_cast<THnSparse*>(fHistList->At(i));
445 TH1::AddDirectory(oldStatus);
449 void AliAnalysisTaskJetSpectrum::Init()
455 Printf(">>> AnalysisTaskJetSpectrum::Init() debug level %d\n",fDebug);
456 if (fDebug > 1) printf("AnalysisTaskJetSpectrum::Init() \n");
460 void AliAnalysisTaskJetSpectrum::UserExec(Option_t */*option*/)
463 // Execute analysis for current event
468 if (fDebug > 1)printf("Analysing event # %5d\n", (Int_t) fEntry);
471 AliAODHandler *aodH = dynamic_cast<AliAODHandler*>(AliAnalysisManager::GetAnalysisManager()->GetOutputEventHandler());
474 Printf("%s:%d no output aodHandler found Jet",(char*)__FILE__,__LINE__);
479 // aodH->SelectEvent(kTRUE);
481 // ========= These pointers need to be valid in any case =======
485 AliUA1JetHeaderV1 *jhRec = dynamic_cast<AliUA1JetHeaderV1*>(fJetFinderRec->GetHeader());
487 Printf("%s:%d No Jet Header found",(char*)__FILE__,__LINE__);
491 if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__);
492 TClonesArray *aodRecJets = dynamic_cast<TClonesArray*>(fAOD->FindListObject(fBranchRec.Data()));
494 Printf("%s:%d no reconstructed Jet array with name %s in AOD",(char*)__FILE__,__LINE__,fBranchRec.Data());
498 // ==== General variables needed
501 // We use statice array, not to fragment the memory
502 AliAODJet genJets[kMaxJets];
504 AliAODJet recJets[kMaxJets];
506 ///////////////////////////
508 //////////////////////////
512 Double_t nTrials = 1; // Trials for MC trigger weigth for real data
514 if(fUseExternalWeightOnly){
515 eventW = fExternalWeight;
519 if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__);
520 if((fAnalysisType&kAnaMC)==kAnaMC){
521 // this is the part we only use when we have MC information
522 AliMCEvent* mcEvent = MCEvent();
523 // AliStack *pStack = 0;
525 Printf("%s:%d no mcEvent",(char*)__FILE__,__LINE__);
528 AliGenPythiaEventHeader* pythiaGenHeader = AliAnalysisHelperJetTasks::GetPythiaEventHeader(mcEvent);
529 if(!pythiaGenHeader){
533 nTrials = pythiaGenHeader->Trials();
534 ptHard = pythiaGenHeader->GetPtHard();
535 int iProcessType = pythiaGenHeader->ProcessType();
537 // 12 f+barf -> f+barf
543 if (fDebug > 10)Printf("%d iProcessType %d",__LINE__, iProcessType);
544 // if(iProcessType != 13 && iProcessType != 68){ // allow only glue
545 if(iProcessType != 11 && iProcessType != 12 && iProcessType != 53){ // allow only quark
546 // if(iProcessType != 28){ // allow only -> f+g
547 PostData(1, fHistList);
551 if (fDebug > 10)Printf("%d iProcessType %d",__LINE__, iProcessType);
553 if(fDebug>20)AliAnalysisHelperJetTasks::PrintStack(mcEvent);
555 if(!fUseExternalWeightOnly){
556 // case were we combine more than one p_T hard bin...
559 // fetch the pythia generated jets only to be used here
560 Int_t nPythiaGenJets = pythiaGenHeader->NTriggerJets();
561 AliAODJet pythiaGenJets[kMaxJets];
563 for(int ip = 0;ip < nPythiaGenJets;++ip){
564 if(iCount>=kMaxJets)continue;
566 pythiaGenHeader->TriggerJet(ip,p);
567 pythiaGenJets[iCount].SetPxPyPzE(p[0],p[1],p[2],p[3]);
570 if(pythiaGenJets[iCount].Eta()>fJetHeaderRec->GetJetEtaMax()||
571 pythiaGenJets[iCount].Eta()<fJetHeaderRec->GetJetEtaMin())continue;
575 if(fBranchGen.Length()==0){
576 // if we have MC particles and we do not read from the aod branch
577 // use the pythia jets
578 genJets[iCount].SetPxPyPzE(p[0],p[1],p[2],p[3]);
582 if(fBranchGen.Length()==0)nGenJets = iCount;
584 }// (fAnalysisType&kMC)==kMC)
586 if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__);
587 fh1PtHard->Fill(ptHard,eventW);
588 fh1PtHardNoW->Fill(ptHard,1);
589 fh1PtHardTrials->Fill(ptHard,nTrials);
591 // If we set a second branch for the input jets fetch this
592 if(fBranchGen.Length()>0){
593 TClonesArray *aodGenJets = dynamic_cast<TClonesArray*>(fAOD->FindListObject(fBranchGen.Data()));
596 for(int ig = 0;ig < aodGenJets->GetEntries();++ig){
597 if(iCount>=kMaxJets)continue;
598 AliAODJet *tmp = dynamic_cast<AliAODJet*>(aodGenJets->At(ig));
601 if(tmp->Eta()>fJetHeaderRec->GetJetEtaMax()||
602 tmp->Eta()<fJetHeaderRec->GetJetEtaMin())continue;
604 genJets[iCount] = *tmp;
610 Printf("%s:%d Generated jet branch %s not found",(char*)__FILE__,__LINE__,fBranchGen.Data());
614 fh1NGenJets->Fill(nGenJets);
615 // We do not want to exceed the maximum jet number
616 nGenJets = TMath::Min(nGenJets,kMaxJets);
618 // Fetch the reconstructed jets...
621 nRecJets = aodRecJets->GetEntries();
622 fh1NRecJets->Fill(nRecJets);
623 nRecJets = TMath::Min(nRecJets,kMaxJets);
624 //////////////////////////////////////////
625 nTracks = fAOD->GetNumberOfTracks();
626 ///////////////////////////////////////////
628 for(int ir = 0;ir < nRecJets;++ir){
629 AliAODJet *tmp = dynamic_cast<AliAODJet*>(aodRecJets->At(ir));
635 if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__);
637 Int_t iGenIndex[kMaxJets]; // Index of the generated jet for i-th rec -1 if none
638 Int_t iRecIndex[kMaxJets]; // Index of the rec jet for i-th gen -1 if none
640 for(int i = 0;i<kMaxJets;++i){
641 iGenIndex[i] = iRecIndex[i] = -1;
645 GetClosestJets(genJets,nGenJets,recJets,nRecJets,
646 iGenIndex,iRecIndex,fDebug);
647 if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__);
650 for(int i = 0;i<kMaxJets;++i){
651 if(iGenIndex[i]>=0)Printf("iGenFound: %d -> %d",i,iGenIndex[i]);
652 if(iRecIndex[i]>=0)Printf("iRecFound: %d -> %d",i,iRecIndex[i]);
656 // loop over reconstructed jets
657 for(int ir = 0;ir < nRecJets;++ir){
658 Double_t ptRec = recJets[ir].Pt();
659 Double_t phiRec = recJets[ir].Phi();
660 if(phiRec<0)phiRec+=TMath::Pi()*2.;
661 Double_t etaRec = recJets[ir].Eta();
662 if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__);
663 fh1E[ir]->Fill(recJets[ir].E(),eventW);
664 fh1PtRecIn[ir]->Fill(ptRec,eventW);
665 fh3RecEtaPhiPt[ir]->Fill(etaRec,phiRec,ptRec,eventW);
666 for(int irr = ir+1;irr<nRecJets;irr++){
667 fh2PtRecDeltaR[ir]->Fill(recJets[irr].Pt(),recJets[ir].DeltaR(&recJets[irr]));
670 Int_t ig = iGenIndex[ir];
671 if(ig>=0 && ig<nGenJets){
672 if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__);
673 if (fDebug > 10)Printf("%s:%d ig = %d ir = %d",(char*)__FILE__,__LINE__,ig,ir);
674 fh1PtRecOut[ir]->Fill(ptRec,eventW);
675 Double_t ptGen = genJets[ig].Pt();
676 Double_t phiGen = genJets[ig].Phi();
677 if(phiGen<0)phiGen+=TMath::Pi()*2.;
678 Double_t etaGen = genJets[ig].Eta();
681 // we accept only jets which are detected within a smaller window, to avoid ambigious pair association at the edges of the acceptance
684 if(TMath::Abs(etaRec)<fRecEtaWindow){
686 fh2PtFGen[ir]->Fill(ptRec,ptGen,eventW);
687 fh2PhiFGen[ir]->Fill(phiRec,phiGen,eventW);
688 fh2EtaFGen[ir]->Fill(etaRec,etaGen,eventW);
689 fh2PtGenDeltaEta[ir]->Fill(ptGen,etaGen-etaRec,eventW);
690 fh2PtGenDeltaPhi[ir]->Fill(ptGen,phiGen-phiRec,eventW);
691 fh3PtRecGenHard[ir]->Fill(ptRec,ptGen,ptHard,eventW);
692 fh3PtRecGenHardNoW[ir]->Fill(ptRec,ptGen,ptHard,1);
693 /////////////////////////////////////////////////////
695 // Double_t eRec = recJets[ir].E();
696 // Double_t eGen = genJets[ig].E();
697 // CKB use p_T not Energy
698 // TODO recname variabeles and histos
699 Double_t eRec = recJets[ir].E();
700 Double_t eGen = genJets[ig].E();
702 fh2Efficiency->Fill(eGen, eRec/eGen);
704 if (eGen>=0. && eGen<=250.){
705 Double_t eLeading = -1;
706 Double_t ptleading = -1;
709 for (Int_t it = 0; it< nTracks; it++){
710 // if (fAOD->GetTrack(it)->E() > eGen) continue; // CKB. Not allowed! cannot cut on gen properties in real events!
711 // find leading particle
712 // if (r<0.4 && fAOD->GetTrack(it)->E()>eLeading){
713 // TODO implement esd filter flag to be the same as in the jet finder
714 // allow also for MC particles...
715 Float_t r = recJets[ir].DeltaR(fAOD->GetTrack(it));
716 if (r<0.4 && fAOD->GetTrack(it)->Pt()>ptleading){
717 eLeading = fAOD->GetTrack(it)->E();
718 ptleading = fAOD->GetTrack(it)->Pt();
720 // if (fAOD->GetTrack(it)->Pt()>0.03*eGen && fAOD->GetTrack(it)->E()<=eGen && r<0.7) // CKB cannot cut on gen properties
721 if (fAOD->GetTrack(it)->Pt()>0.03*eRec && fAOD->GetTrack(it)->Pt()<=eRec && r<0.7)
724 if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__);
726 // fill Response Map (4D histogram) and Energy vs z distributions
727 Double_t var[4] = {eGen, eRec, ptleading/eGen, ptleading/eRec};
728 fh2ERecZRec->Fill(var[1],var[3]); // this has to be filled always in the real case...
729 fh2EGenZGen->Fill(var[0],var[2]);
730 fh1JetMultiplicity->Fill(nPart);
731 fh3EGenERecN->Fill(eGen, eRec, nPart);
732 for(int ic = 0;ic <kMaxCorrelation;ic++){
733 if (nPart<=fgkJetNpartCut[ic]){ // is this corrected for CKB
734 fhnCorrelation[ic]->Fill(var);
740 }// if etarec in window
743 ////////////////////////////////////////////////////
745 fh3RecEtaPhiPtNoGen[ir]->Fill(etaRec,phiRec,ptRec,eventW);
747 }// loop over reconstructed jets
750 if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__);
751 for(int ig = 0;ig < nGenJets;++ig){
752 Double_t ptGen = genJets[ig].Pt();
754 Double_t phiGen = genJets[ig].Phi();
755 if(phiGen<0)phiGen+=TMath::Pi()*2.;
756 Double_t etaGen = genJets[ig].Eta();
757 fh3GenEtaPhiPt[ig]->Fill(etaGen,phiGen,ptGen,eventW);
758 fh1PtGenIn[ig]->Fill(ptGen,eventW);
759 for(int igg = ig+1;igg<nGenJets;igg++){
760 fh2PtGenDeltaR[ig]->Fill(genJets[igg].Pt(),genJets[ig].DeltaR(&genJets[igg]));
762 Int_t ir = iRecIndex[ig];
763 if(ir>=0&&ir<nRecJets){
764 fh1PtGenOut[ig]->Fill(ptGen,eventW);
767 fh3GenEtaPhiPtNoFound[ig]->Fill(etaGen,phiGen,ptGen,eventW);
769 }// loop over reconstructed jets
771 if (fDebug > 10)Printf("%s:%d",(char*)__FILE__,__LINE__);
772 PostData(1, fHistList);
775 void AliAnalysisTaskJetSpectrum::Terminate(Option_t */*option*/)
777 // Terminate analysis
779 if (fDebug > 1) printf("AnalysisJetSpectrum: Terminate() \n");
783 void AliAnalysisTaskJetSpectrum::GetClosestJets(AliAODJet *genJets,const Int_t &nGenJets,
784 AliAODJet *recJets,const Int_t &nRecJets,
785 Int_t *iGenIndex,Int_t *iRecIndex,Int_t iDebug){
788 // Relate the two input jet Arrays
792 // The association has to be unique
793 // So check in two directions
794 // find the closest rec to a gen
795 // and check if there is no other rec which is closer
796 // Caveat: Close low energy/split jets may disturb this correlation
798 // Idea: search in two directions generated e.g (a--e) and rec (1--3)
799 // Fill a matrix with Flags (1 for closest rec jet, 2 for closest rec jet
800 // in the end we have something like this
814 // Only entries with "3" match from both sides
818 Int_t iFlag[kMaxJets][kMaxJets];
822 for(int i = 0;i < kMaxJets;++i){
825 for(int j = 0;j < kMaxJets;++j)iFlag[i][j] = 0;
828 if(nRecJets==0)return;
829 if(nGenJets==0)return;
831 const Float_t maxDist = 0.5;
832 // find the closest distance to the generated
833 for(int ig = 0;ig<nGenJets;++ig){
834 Float_t dist = maxDist;
835 if(iDebug>1)Printf("Gen (%d) p_T %3.3f eta %3.3f ph %3.3f ",ig,genJets[ig].Pt(),genJets[ig].Eta(),genJets[ig].Phi());
836 for(int ir = 0;ir<nRecJets;++ir){
837 Double_t dR = genJets[ig].DeltaR(&recJets[ir]);
838 if(iDebug>1)Printf("Rec (%d) p_T %3.3f eta %3.3f ph %3.3f ",ir,recJets[ir].Pt(),recJets[ir].Eta(),recJets[ir].Phi());
839 if(iDebug>1)Printf("Distance (%d)--(%d) %3.3f ",ig,ir,dR);
845 if(iRecIndex[ig]>=0)iFlag[ig][iRecIndex[ig]]+=1;
850 for(int ir = 0;ir<nRecJets;++ir){
851 Float_t dist = maxDist;
852 for(int ig = 0;ig<nGenJets;++ig){
853 Double_t dR = genJets[ig].DeltaR(&recJets[ir]);
859 if(iGenIndex[ir]>=0)iFlag[iGenIndex[ir]][ir]+=2;
864 // check for "true" correlations
866 if(iDebug>1)Printf(">>>>>> Matrix");
868 for(int ig = 0;ig<nGenJets;++ig){
869 for(int ir = 0;ir<nRecJets;++ir){
871 if(iDebug>1)printf("XFL %d ",iFlag[ig][ir]);
874 // we have a uniqie correlation
875 if(iFlag[ig][ir]==3){
881 // we just take the correlation from on side
882 if((iFlag[ig][ir]&2)==2){
885 if((iFlag[ig][ir]&1)==1){
890 if(iDebug>1)printf("\n");