1 /**************************************************************************
2 * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
4 * Author: The ALICE Off-line Project. *
5 * Contributors are mentioned in the code where appropriate. *
7 * Permission to use, copy, modify and distribute this software and its *
8 * documentation strictly for non-commercial purposes is hereby granted *
9 * without fee, provided that the above copyright notice appears in all *
10 * copies and that both the copyright notice and this permission notice *
11 * appear in the supporting documentation. The authors make no claims *
12 * about the suitability of this software for any purpose. It is *
13 * provided "as is" without express or implied warranty. *
14 **************************************************************************/
19 * this task is part of the emcal jet framework and should be run in the emcaljet train
20 * the following extensions to an accepted AliVEvent are expected:
22 * - background estimate rho
24 * aod's and esd's are handled transparently
25 * the task will attempt to estimate a phi-dependent background density rho
26 * by fitting vn harmonics to the dpt/dphi distribution
28 * author: Redmer Alexander Bertens, Utrecht Univeristy, Utrecht, Netherlands
29 * rbertens@cern.ch, rbertens@nikhef.nl, r.a.bertens@uu.nl
45 #include <AliAnalysisTask.h>
46 #include <AliAnalysisManager.h>
47 #include <AliCentrality.h>
48 #include <AliVVertex.h>
49 #include <AliVTrack.h>
50 #include <AliVVZERO.h>
51 #include <AliESDEvent.h>
52 #include <AliAODEvent.h>
53 #include <AliAODTrack.h>
54 #include <AliOADBContainer.h>
55 // emcal jet framework includes
56 #include <AliPicoTrack.h>
57 #include <AliEmcalJet.h>
58 #include <AliRhoParameter.h>
59 #include <AliLocalRhoParameter.h>
60 #include <AliAnalysisTaskJetV2.h>
61 #include <AliClusterContainer.h>
63 class AliAnalysisTaskJetV2;
66 ClassImp(AliAnalysisTaskJetV2)
68 AliAnalysisTaskJetV2::AliAnalysisTaskJetV2() : AliAnalysisTaskEmcalJet("AliAnalysisTaskJetV2", kTRUE),
69 fDebug(0), fRunToyMC(kFALSE), fLocalInit(0), fAttachToEvent(kTRUE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fExpectedRuns(0), fExpectedSemiGoodRuns(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fEventPlaneWeights(0), fEventPlaneWeight(1.), fTracksCont(0), fClusterCont(0), fJetsCont(0), fLeadingJet(0), fLeadingJetAfterSub(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fFitGoodnessTest(kChi2Poisson), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kVZEROComb), fAnalysisType(kCharged), fFitModulationOptions("QWLI"), fRunModeType(kGrid), fDataType(kESD), fCollisionType(kPbPb), fRandom(0), fRunNumber(-1), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fFitControl(0), fMinPvalue(0.01), fMaxPvalue(1), fNameSmallRho(""), fCachedRho(0), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fSemiGoodJetMinPhi(0.), fSemiGoodJetMaxPhi(4.), fSemiGoodTrackMinPhi(0.), fSemiGoodTrackMaxPhi(4.), fAbsVertexZ(10), fHistCentrality(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fHistPvalueCDFROOT(0), fHistPvalueCDFROOTCent(0), fHistChi2ROOTCent(0), fHistPChi2Root(0), fHistPvalueCDF(0), fHistPvalueCDFCent(0), fHistChi2Cent(0), fHistPChi2(0), fHistKolmogorovTest(0), fHistKolmogorovTestCent(0), fHistPKolmogorov(0), fHistRhoStatusCent(0), fHistUndeterminedRunQA(0), fMinDisanceRCtoLJ(0), fMaxCones(-1), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fOutputList(0), fOutputListGood(0), fOutputListBad(0), fHistAnalysisSummary(0), fHistSwap(0), fProfV2(0), fProfV2Cumulant(0), fProfV3(0), fProfV3Cumulant(0), fHistPsiControl(0), fHistPsiSpread(0), fHistPsiVZEROA(0), fHistPsiVZEROC(0), fHistPsiVZERO(0), fHistPsiTPC(0), fHistPsiVZEROAV0M(0), fHistPsiVZEROCV0M(0), fHistPsiVZEROVV0M(0), fHistPsiTPCV0M(0), fHistPsiVZEROATRK(0), fHistPsiVZEROCTRK(0), fHistPsiVZEROTRK(0), fHistPsiTPCTRK(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0), fVZEROgainEqualization(0x0), fVZEROgainEqualizationPerRing(kFALSE), fChi2A(0x0), fChi2C(0x0), fChi3A(0x0), fChi3C(0x0), fOADB(0x0)
71 for(Int_t i(0); i < 10; i++) {
72 fProfV2Resolution[i] = 0;
73 fProfV3Resolution[i] = 0;
74 fHistPicoTrackPt[i] = 0;
75 fHistPicoTrackMult[i] = 0;
79 fHistClusterPt[i] = 0;
80 fHistClusterEtaPhi[i] = 0;
81 fHistClusterEtaPhiWeighted[i] = 0;
82 fHistPsiTPCLeadingJet[i] = 0;
83 fHistPsiVZEROALeadingJet[i] = 0;
84 fHistPsiVZEROCLeadingJet[i] = 0;
85 fHistPsiVZEROCombLeadingJet[i] = 0;
86 fHistPsi2Correlation[i] = 0;
87 fHistLeadingJetBackground[i] = 0;
88 fHistRhoPackage[i] = 0;
91 fHistRhoVsRCPt[i] = 0;
93 fHistDeltaPtDeltaPhi2[i] = 0;
94 fHistDeltaPtDeltaPhi2Rho0[i] = 0;
95 fHistRCPhiEtaExLJ[i] = 0;
96 fHistRhoVsRCPtExLJ[i] = 0;
98 fHistDeltaPtDeltaPhi2ExLJ[i] = 0;
99 fHistDeltaPtDeltaPhi2ExLJRho0[i] = 0;
100 fHistJetPtRaw[i] = 0;
102 fHistJetEtaPhi[i] = 0;
103 fHistJetPtArea[i] = 0;
104 fHistJetPtEta[i] = 0;
105 fHistJetPtConstituents[i] = 0;
106 fHistJetEtaRho[i] = 0;
107 fHistJetPsi2Pt[i] = 0;
108 fHistJetPsi2PtRho0[i] = 0;
110 for(Int_t i(0); i < 9; i++) {
111 for(Int_t j(0); j < 2; j++) {
112 for(Int_t k(0); k < 2; k++) {
113 fMeanQ[i][j][k] = 0.;
114 fWidthQ[i][j][k] = 0.;
115 fMeanQv3[i][j][k] = 0.;
116 fWidthQv3[i][j][k] = 0.;
120 for(Int_t i(0); i < 4; i++) {
124 for(Int_t i(0); i < 8; i++) fUseVZERORing[i] = kTRUE;
125 // default constructor
127 //_____________________________________________________________________________
128 AliAnalysisTaskJetV2::AliAnalysisTaskJetV2(const char* name, runModeType type) : AliAnalysisTaskEmcalJet(name, kTRUE),
129 fDebug(0), fRunToyMC(kFALSE), fLocalInit(0), fAttachToEvent(kTRUE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fExpectedRuns(0), fExpectedSemiGoodRuns(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fEventPlaneWeights(0), fEventPlaneWeight(1.), fTracksCont(0), fClusterCont(0), fJetsCont(0), fLeadingJet(0), fLeadingJetAfterSub(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fFitGoodnessTest(kChi2Poisson), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fUsePtWeightErrorPropagation(kTRUE), fDetectorType(kVZEROComb), fAnalysisType(kCharged), fFitModulationOptions("QWLI"), fRunModeType(type), fDataType(kESD), fCollisionType(kPbPb), fRandom(0), fRunNumber(-1), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fFitControl(0), fMinPvalue(0.01), fMaxPvalue(1), fNameSmallRho(""), fCachedRho(0), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fSemiGoodJetMinPhi(0.), fSemiGoodJetMaxPhi(4.), fSemiGoodTrackMinPhi(0.), fSemiGoodTrackMaxPhi(4.), fAbsVertexZ(10), fHistCentrality(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fHistPvalueCDFROOT(0), fHistPvalueCDFROOTCent(0), fHistChi2ROOTCent(0), fHistPChi2Root(0), fHistPvalueCDF(0), fHistPvalueCDFCent(0), fHistChi2Cent(0), fHistPChi2(0), fHistKolmogorovTest(0), fHistKolmogorovTestCent(0), fHistPKolmogorov(0), fHistRhoStatusCent(0), fHistUndeterminedRunQA(0), fMinDisanceRCtoLJ(0), fMaxCones(-1), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fOutputList(0), fOutputListGood(0), fOutputListBad(0), fHistAnalysisSummary(0), fHistSwap(0), fProfV2(0), fProfV2Cumulant(0), fProfV3(0), fProfV3Cumulant(0), fHistPsiControl(0), fHistPsiSpread(0), fHistPsiVZEROA(0), fHistPsiVZEROC(0), fHistPsiVZERO(0), fHistPsiTPC(0), fHistPsiVZEROAV0M(0), fHistPsiVZEROCV0M(0), fHistPsiVZEROVV0M(0), fHistPsiTPCV0M(0), fHistPsiVZEROATRK(0), fHistPsiVZEROCTRK(0), fHistPsiVZEROTRK(0), fHistPsiTPCTRK(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0), fVZEROgainEqualization(0x0), fVZEROgainEqualizationPerRing(kFALSE), fChi2A(0x0), fChi2C(0x0), fChi3A(0x0), fChi3C(0x0), fOADB(0x0)
131 for(Int_t i(0); i < 10; i++) {
132 fProfV2Resolution[i] = 0;
133 fProfV3Resolution[i] = 0;
134 fHistPicoTrackPt[i] = 0;
135 fHistPicoTrackMult[i] = 0;
136 fHistPicoCat1[i] = 0;
137 fHistPicoCat2[i] = 0;
138 fHistPicoCat3[i] = 0;
139 fHistClusterPt[i] = 0;
140 fHistClusterEtaPhi[i] = 0;
141 fHistClusterEtaPhiWeighted[i] = 0;
142 fHistPsiTPCLeadingJet[i] = 0;
143 fHistPsiVZEROALeadingJet[i] = 0;
144 fHistPsiVZEROCLeadingJet[i] = 0;
145 fHistPsiVZEROCombLeadingJet[i] = 0;
146 fHistPsi2Correlation[i] = 0;
147 fHistLeadingJetBackground[i] = 0;
148 fHistRhoPackage[i] = 0;
150 fHistRCPhiEta[i] = 0;
151 fHistRhoVsRCPt[i] = 0;
153 fHistDeltaPtDeltaPhi2[i] = 0;
154 fHistDeltaPtDeltaPhi2Rho0[i] = 0;
155 fHistRCPhiEtaExLJ[i] = 0;
156 fHistRhoVsRCPtExLJ[i] = 0;
157 fHistRCPtExLJ[i] = 0;
158 fHistDeltaPtDeltaPhi2ExLJ[i] = 0;
159 fHistDeltaPtDeltaPhi2ExLJRho0[i] = 0;
160 fHistJetPtRaw[i] = 0;
162 fHistJetEtaPhi[i] = 0;
163 fHistJetPtArea[i] = 0;
164 fHistJetPtEta[i] = 0;
165 fHistJetPtConstituents[i] = 0;
166 fHistJetEtaRho[i] = 0;
167 fHistJetPsi2Pt[i] = 0;
168 fHistJetPsi2PtRho0[i] = 0;
170 for(Int_t i(0); i < 9; i++) {
171 for(Int_t j(0); j < 2; j++) {
172 for(Int_t k(0); k < 2; k++) {
173 fMeanQ[i][j][k] = 0.;
174 fWidthQ[i][j][k] = 0.;
175 fMeanQv3[i][j][k] = 0.;
176 fWidthQv3[i][j][k] = 0.;
180 for(Int_t i(0); i < 4; i++) {
184 for(Int_t i(0); i < 8; i++) fUseVZERORing[i] = kTRUE;
187 DefineInput(0, TChain::Class());
188 DefineOutput(1, TList::Class());
189 switch (fRunModeType) {
191 gStyle->SetOptFit(1);
192 DefineOutput(2, TList::Class());
193 DefineOutput(3, TList::Class());
195 default: fDebug = -1; // suppress debug info explicitely when not running locally
197 switch (fCollisionType) {
199 fFitModulationType = kNoFit;
203 if(fLocalRhoName=="") fLocalRhoName = Form("LocalRhoFrom_%s", GetName());
205 //_____________________________________________________________________________
206 AliAnalysisTaskJetV2::~AliAnalysisTaskJetV2()
209 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
210 if(fOutputList) {delete fOutputList; fOutputList = 0x0;}
211 if(fOutputListGood) {delete fOutputListGood; fOutputListGood = 0x0;}
212 if(fOutputListBad) {delete fOutputListBad; fOutputListBad = 0x0;}
213 if(fFitModulation) {delete fFitModulation; fFitModulation = 0x0;}
214 if(fHistSwap) {delete fHistSwap; fHistSwap = 0x0;}
215 if(fCentralityClasses) {delete fCentralityClasses; fCentralityClasses = 0x0;}
216 if(fExpectedRuns) {delete fExpectedRuns; fExpectedRuns = 0x0;}
217 if(fExpectedSemiGoodRuns) {delete fExpectedSemiGoodRuns; fExpectedSemiGoodRuns = 0x0;}
218 if(fFitControl) {delete fFitControl; fFitControl = 0x0;}
219 if(fVZEROgainEqualization) {delete fVZEROgainEqualization; fVZEROgainEqualization = 0x0;}
220 if(fChi2A) {delete fChi2A; fChi2A = 0x0;}
221 if(fChi2C) {delete fChi2C; fChi2C = 0x0;}
222 if(fChi3A) {delete fChi3A; fChi3A = 0x0;}
223 if(fChi3C) {delete fChi3C; fChi3C = 0x0;}
224 if(fOADB && !fOADB->IsZombie()) {
225 fOADB->Close(); fOADB = 0x0;
226 } else if (fOADB) fOADB = 0x0;
228 //_____________________________________________________________________________
229 void AliAnalysisTaskJetV2::ExecOnce()
232 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
233 fLocalRho = new AliLocalRhoParameter(fLocalRhoName.Data(), 0);
235 if(!(InputEvent()->FindListObject(fLocalRho->GetName()))) {
236 InputEvent()->AddObject(fLocalRho);
238 AliFatal(Form("%s: Container with name %s already present. Aborting", GetName(), fLocalRho->GetName()));
241 AliAnalysisTaskEmcalJet::ExecOnce(); // init the base class
242 AliAnalysisTaskEmcalJet::SetVzRange(-1.*fAbsVertexZ, fAbsVertexZ);
243 if(!GetJetContainer()) AliFatal(Form("%s: Couldn't find jet container. Aborting !", GetName()));
245 //_____________________________________________________________________________
246 Bool_t AliAnalysisTaskJetV2::Notify()
248 // determine the run number to see if the track and jet cuts should be refreshed for semi-good TPC runs
249 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
250 if(fRunNumber != InputEvent()->GetRunNumber()) {
251 fRunNumber = InputEvent()->GetRunNumber(); // set the current run number
252 if(fDebug > 0) printf("__FUNC__ %s > NEW RUNNUMBER DETECTED \n ", __func__);
253 // check if this is 10h or 11h data
254 switch (fCollisionType) {
256 if(fDebug > 0) printf(" LHC10h data, assuming full acceptance, reading VZERO calibration DB \n ");
257 // for 10h data the vzero event plane calibration needs to be cached
258 ReadVZEROCalibration2010h();
259 // no need to change rho or acceptance for 10h, so we're done
266 if(fDebug > 0) printf(" checking runnumber to adjust acceptance on the fly \n");
269 // reset the cuts. should be a pointless operation except for the case where the run number changes
270 // from semi-good back to good on one node, which is not a likely scenario (unless trains will
271 // run as one masterjob)
272 switch (fAnalysisType) {
274 AliAnalysisTaskEmcalJet::SetJetPhiLimits(-10., 10.);
277 AliAnalysisTaskEmcalJet::SetJetPhiLimits(1.405 + GetJetRadius(), 3.135 - GetJetRadius());
280 AliAnalysisTaskEmcal::SetTrackPhiLimits(-10., 10.);
283 if(fCachedRho) { // if there's a cached rho, it's the default, so switch back
284 if(fDebug > 0) printf("__FUNC__ %s > replacing rho with cached rho \n ", __func__);
285 fRho = fCachedRho; // reset rho back to cached value. again, should be pointless
287 Bool_t flaggedAsSemiGood(kFALSE); // not flagged as anything
288 for(Int_t i(0); i < fExpectedSemiGoodRuns->GetSize(); i++) {
289 if(fExpectedSemiGoodRuns->At(i) == fRunNumber) { // run is semi-good
290 if(fDebug > 0) printf("__FUNC__ %s > semi-good tpc run detected, adjusting acceptance \n ", __func__);
291 flaggedAsSemiGood = kTRUE;
292 switch (fAnalysisType) {
293 // for full jets the jet acceptance does not have to be changed as emcal does not
294 // cover the tpc low voltage readout strips
296 AliAnalysisTaskEmcalJet::SetJetPhiLimits(fSemiGoodJetMinPhi, fSemiGoodJetMaxPhi); // just an acceptance cut, jets are obtained from full azimuth, so no edge effects
300 AliAnalysisTaskEmcal::SetTrackPhiLimits(fSemiGoodTrackMinPhi, fSemiGoodTrackMaxPhi); // only affects vn extraction, NOT jet finding
301 // for semi-good runs, also try to get the 'small rho' estimate, if it is available
302 AliRhoParameter* tempRho(dynamic_cast<AliRhoParameter*>(InputEvent()->FindListObject(fNameSmallRho.Data())));
304 if(fDebug > 0) printf("__FUNC__ %s > switching to small rho, caching normal rho \n ", __func__);
305 fHistAnalysisSummary->SetBinContent(54, 1.); // bookkeep the fact that small rho is used
306 fCachedRho = fRho; // cache the original rho ...
307 fRho = tempRho; // ... and use the small rho
311 if(!flaggedAsSemiGood) {
312 // in case the run is not a semi-good run, check if it is recognized as another run
313 // only done to catch unexpected runs
314 for(Int_t i(0); i < fExpectedRuns->GetSize(); i++) {
315 if(fExpectedRuns->At(i) == fRunNumber) break; // run is known, break the loop else store the number in a random bin
316 fHistUndeterminedRunQA->SetBinContent(TMath::Nint(10.*gRandom->Uniform(0.,.9))+1, fRunNumber);
318 fHistAnalysisSummary->SetBinContent(53, 1.); // bookkeep which rho estimate is used
323 //_____________________________________________________________________________
324 Bool_t AliAnalysisTaskJetV2::InitializeAnalysis()
326 // initialize the anaysis
327 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
328 // if not set, estimate the number of cones that would fit into the selected acceptance
329 if(fMaxCones <= 0) fMaxCones = TMath::CeilNint((TMath::Abs(GetJetContainer()->GetJetEtaMax()-GetJetContainer()->GetJetEtaMin())*TMath::Abs(GetJetContainer()->GetJetPhiMax()-GetJetContainer()->GetJetPhiMin()))/(TMath::Pi()*GetJetRadius()*GetJetRadius()));
330 // manually 'override' the default acceptance cuts of the emcal framework (use with caution)
331 if(fMinDisanceRCtoLJ==0) fMinDisanceRCtoLJ = GetJetRadius();
332 if(dynamic_cast<AliAODEvent*>(InputEvent())) fDataType = kAOD; // determine the datatype
333 else if(dynamic_cast<AliESDEvent*>(InputEvent())) fDataType = kESD;
334 fHistAnalysisSummary->SetBinContent(36, (int)fDataType);
335 if(!fRandom) fRandom = new TRandom3(0); // set randomizer and random seed
336 switch (fFitModulationType) {
337 case kNoFit : { SetModulationFit(new TF1("fix_kNoFit", "[0]", 0, TMath::TwoPi())); } break;
339 SetModulationFit(new TF1("fit_kV2", "[0]*([1]+[2]*[3]*TMath::Cos([2]*(x-[4])))", 0, TMath::TwoPi()));
340 fFitModulation->SetParameter(0, 0.); // normalization
341 fFitModulation->SetParameter(3, 0.2); // v2
342 fFitModulation->FixParameter(1, 1.); // constant
343 fFitModulation->FixParameter(2, 2.); // constant
346 SetModulationFit(new TF1("fit_kV3", "[0]*([1]+[2]*[3]*TMath::Cos([2]*(x-[4])))", 0, TMath::TwoPi()));
347 fFitModulation->SetParameter(0, 0.); // normalization
348 fFitModulation->SetParameter(3, 0.2); // v3
349 fFitModulation->FixParameter(1, 1.); // constant
350 fFitModulation->FixParameter(2, 3.); // constant
352 default : { // for the combined fit, the 'direct fourier series' or the user supplied vn values we use v2 and v3
353 SetModulationFit(new TF1("fit_kCombined", "[0]*([1]+[2]*([3]*TMath::Cos([2]*(x-[4]))+[7]*TMath::Cos([5]*(x-[6]))))", 0, TMath::TwoPi()));
354 fFitModulation->SetParameter(0, 0.); // normalization
355 fFitModulation->SetParameter(3, 0.2); // v2
356 fFitModulation->FixParameter(1, 1.); // constant
357 fFitModulation->FixParameter(2, 2.); // constant
358 fFitModulation->FixParameter(5, 3.); // constant
359 fFitModulation->SetParameter(7, 0.2); // v3
362 switch (fRunModeType) {
363 case kGrid : { fFitModulationOptions += "N0"; } break;
366 FillAnalysisSummaryHistogram();
369 //_____________________________________________________________________________
370 TH1F* AliAnalysisTaskJetV2::BookTH1F(const char* name, const char* x, Int_t bins, Double_t min, Double_t max, Int_t c, Bool_t append)
372 // book a TH1F and connect it to the output container
373 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
374 if(fReduceBinsXByFactor > 0 ) bins = TMath::Nint(bins/fReduceBinsXByFactor);
375 if(!fOutputList) return 0x0;
377 if(c!=-1) { // format centrality dependent histograms accordingly
378 name = Form("%s_%i", name, c);
379 title += Form("_%i-%i", (int)(fCentralityClasses->At(c)), (int)(fCentralityClasses->At((1+c))));
381 title += Form(";%s;[counts]", x);
382 TH1F* histogram = new TH1F(name, title.Data(), bins, min, max);
384 if(append) fOutputList->Add(histogram);
387 //_____________________________________________________________________________
388 TH2F* AliAnalysisTaskJetV2::BookTH2F(const char* name, const char* x, const char* y, Int_t binsx, Double_t minx, Double_t maxx, Int_t binsy, Double_t miny, Double_t maxy, Int_t c, Bool_t append)
390 // book a TH2F and connect it to the output container
391 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
392 if(fReduceBinsXByFactor > 0 ) binsx = TMath::Nint(binsx/fReduceBinsXByFactor);
393 if(fReduceBinsYByFactor > 0 ) binsy = TMath::Nint(binsy/fReduceBinsYByFactor);
394 if(!fOutputList) return 0x0;
396 if(c!=-1) { // format centrality dependent histograms accordingly
397 name = Form("%s_%i", name, c);
398 title += Form("_%i-%i", (int)fCentralityClasses->At(c), (int)(fCentralityClasses->At((1+c))));
400 title += Form(";%s;%s", x, y);
401 TH2F* histogram = new TH2F(name, title.Data(), binsx, minx, maxx, binsy, miny, maxy);
403 if(append) fOutputList->Add(histogram);
406 //_____________________________________________________________________________
407 TH3F* AliAnalysisTaskJetV2::BookTH3F(const char* name, const char* x, const char* y, const char* z, Int_t binsx, Double_t minx, Double_t maxx, Int_t binsy, Double_t miny, Double_t maxy, Int_t binsz, Double_t minz, Double_t maxz, Int_t c, Bool_t append)
409 // book a TH2F and connect it to the output container
410 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
411 if(fReduceBinsXByFactor > 0 ) {
412 binsx = TMath::Nint(binsx/fReduceBinsXByFactor);
413 binsy = TMath::Nint(binsy/fReduceBinsXByFactor);
414 binsz = TMath::Nint(binsz/fReduceBinsXByFactor);
416 if(!fOutputList) return 0x0;
418 if(c!=-1) { // format centrality dependent histograms accordingly
419 name = Form("%s_%i", name, c);
420 title += Form("_%i-%i", (int)fCentralityClasses->At(c), (int)(fCentralityClasses->At((1+c))));
422 title += Form(";%s;%s;%s", x, y, z);
423 TH3F* histogram = new TH3F(name, title.Data(), binsx, minx, maxx, binsy, miny, maxy, binsz, minz, maxz);
425 if(append) fOutputList->Add(histogram);
428 //_____________________________________________________________________________
429 void AliAnalysisTaskJetV2::UserCreateOutputObjects()
431 // create output objects. also initializes some default values in case they aren't
432 // loaded via the AddTask macro
433 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
434 fOutputList = new TList();
435 fOutputList->SetOwner(kTRUE);
436 if(!fCentralityClasses) { // classes must be defined at this point
437 Double_t c[] = {0., 20., 40., 60., 80., 100.};
438 fCentralityClasses = new TArrayD(sizeof(c)/sizeof(c[0]), c);
440 if(!fExpectedRuns) { // expected runs must be defined at this point
441 Int_t r[] = {167813, 167988, 168066, 168068, 168069, 168076, 168104, 168212, 168311, 168322, 168325, 168341, 168361, 168362, 168458, 168460, 168461, 168992, 169091, 169094, 169138, 169143, 169167, 169417, 169835, 169837, 169838, 169846, 169855, 169858, 169859, 169923, 169956, 170027, 170036, 170081, /* up till here original good TPC list */169975, 169981, 170038, 170040, 170083, 170084, 170085, 170088, 170089, 170091, 170152, 170155, 170159, 170163, 170193, 170195, 170203, 170204, 170205, 170228, 170230, 170264, 170268, 170269, 170270, 170306, 170308, 170309, /* original semi-good tpc list */169415, 169411, 169035, 168988, 168984, 168826, 168777, 168512, 168511, 168467, 168464, 168342, 168310, 168115, 168108, 168107, 167987, 167915, 167903, /*new runs, good according to RCT */ 169238, 169160, 169156, 169148, 169145, 169144 /* run swith missing OROC 8 but seem ok in QA */};
442 fExpectedRuns = new TArrayI(sizeof(r)/sizeof(r[0]), r);
444 // set default semi-good runs only for 11h data
445 switch (fCollisionType) {
446 case kPbPb10h : break;
448 if(!fExpectedSemiGoodRuns) {
449 Int_t r[] = {169975, 169981, 170038, 170040, 170083, 170084, 170085, 170088, 170089, 170091, 170152, 170155, 170159, 170163, 170193, 170195, 170203, 170204, 170205, 170228, 170230, 170264, 170268, 170269, 170270, 170306, 170308, 170309};
450 fExpectedSemiGoodRuns = new TArrayI(sizeof(r)/sizeof(r[0]), r);
456 fHistCentrality = BookTH1F("fHistCentrality", "centrality", 102, -2, 100);
457 fHistVertexz = BookTH1F("fHistVertexz", "vertex z (cm)", 100, -12, 12);
459 // for some histograms adjust the bounds according to analysis acceptance
460 Double_t etaMin(-1.), etaMax(1.), phiMin(0.), phiMax(TMath::TwoPi());
461 switch (fAnalysisType) {
471 // pico track and emcal cluster kinematics
472 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) {
473 fHistPicoTrackPt[i] = BookTH1F("fHistPicoTrackPt", "p_{t} [GeV/c]", 100, 0, 100, i);
474 fHistPicoTrackMult[i] = BookTH1F("fHistPicoTrackMult", "multiplicity", 100, 0, 5000, i);
475 if(fFillQAHistograms) {
476 fHistPicoCat1[i] = BookTH2F("fHistPicoCat1", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
477 fHistPicoCat2[i] = BookTH2F("fHistPicoCat2", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
478 fHistPicoCat3[i] = BookTH2F("fHistPicoCat3", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
479 if(fAnalysisType == AliAnalysisTaskJetV2::kFull) {
480 fHistClusterPt[i] = BookTH1F("fHistClusterPt", "p_{t} [GeV/c]", 100, 0, 100, i);
481 fHistClusterEtaPhi[i] = BookTH2F("fHistClusterEtaPhi", "#eta", "#phi", 100, etaMax, etaMax, 100, phiMin, phiMax, i);
482 fHistClusterEtaPhiWeighted[i] = BookTH2F("fHistClusterEtaPhiWeighted", "#eta", "#phi", 100, etaMin, etaMax, 100, phiMin, phiMax, i);
484 fHistPsiTPCLeadingJet[i] = BookTH3F("fHistPsiTPCLeadingJet", "p_{t} [GeV/c]", "#Psi_{TPC}", "#varphi_{jet}", 70, 0, 210, 50, -1.*TMath::Pi()/2., TMath::Pi()/2., 50, phiMin, phiMax, i);
485 fHistPsiVZEROALeadingJet[i] = BookTH3F("fHistPsiVZEROALeadingJet", "p_{t} [GeV/c]", "#Psi_{VZEROA}", "#varphi_{jet}", 70, 0, 210, 50, -1.*TMath::Pi()/2., TMath::Pi()/2., 50, phiMin, phiMax, i);
486 fHistPsiVZEROCLeadingJet[i] = BookTH3F("fHistPsiVZEROCLeadingJet", "p_{t} [GeV/c]", "#Psi_{VZEROC}", "#varphi_{jet}", 70, 0, 210, 50, -1.*TMath::Pi()/2., TMath::Pi()/2., 50, phiMin, phiMax, i);
487 fHistPsiVZEROCombLeadingJet[i] = BookTH3F("fHistPsiVZEROCombLeadingJet", "p_{t} [GeV/c]", "#Psi_{VZEROComb}", "#varphi_{jet}", 70, 0, 210, 50, -1.*TMath::Pi()/2., TMath::Pi()/2., 50, phiMin, phiMax, i);
488 fHistPsi2Correlation[i] = BookTH3F("fHistPsi2Correlation", "#Psi_{TPC}", "#Psi_{VZEROA}", "#Psi_{VZEROC}", 20, -1.*TMath::Pi()/2., TMath::Pi()/2., 20, -1.*TMath::Pi()/2., TMath::Pi()/2., 20, -1.*TMath::Pi()/2., TMath::Pi()/2., i);
489 fHistLeadingJetBackground[i] = BookTH2F("fHistLeadingJetBackground", "#Delta #eta (leading jet with, without sub)", "Delta #varphi (leading jet with, without sub)", 50, 0., 2, 50, 0., TMath::TwoPi(), i);
493 if(fFillQAHistograms) {
494 // event plane estimates and quality
495 fHistPsiControl = new TProfile("fHistPsiControl", "fHistPsiControl", 10, 0, 10);
496 fHistPsiControl->Sumw2();
497 fHistPsiSpread = new TProfile("fHistPsiSpread", "fHistPsiSpread", 4, 0, 4);
498 fHistPsiSpread->Sumw2();
499 fHistPsiControl->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA}>");
500 fHistPsiControl->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC}>");
501 fHistPsiControl->GetXaxis()->SetBinLabel(3, "<#Psi_{2, TPC}>");
502 fHistPsiControl->GetXaxis()->SetBinLabel(4, "<#Psi_{2, TPC, #eta < 0}>");
503 fHistPsiControl->GetXaxis()->SetBinLabel(5, "<#Psi_{2, TPC, #eta > 0}>");
504 fHistPsiControl->GetXaxis()->SetBinLabel(6, "<#Psi_{3, VZEROA}>");
505 fHistPsiControl->GetXaxis()->SetBinLabel(7, "<#Psi_{3, VZEROC}>");
506 fHistPsiControl->GetXaxis()->SetBinLabel(8, "<#Psi_{3, TPC}>");
507 fHistPsiControl->GetXaxis()->SetBinLabel(9, "<#Psi_{3, TPC, #eta < 0}>");
508 fHistPsiControl->GetXaxis()->SetBinLabel(10, "<#Psi_{3, TPC, #eta > 0}>");
509 fHistPsiSpread->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA} - #Psi_{2, VZEROC}>");
510 fHistPsiSpread->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>");
511 fHistPsiSpread->GetXaxis()->SetBinLabel(3, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>");
512 fHistPsiSpread->GetXaxis()->SetBinLabel(4, "<#Psi_{2, TPC, #eta < 0} - #Psi_{2, TPC, #eta > 0}>");
513 fOutputList->Add(fHistPsiControl);
514 fOutputList->Add(fHistPsiSpread);
515 fHistPsiVZEROA = BookTH1F("fHistPsiVZEROA", "#Psi_{VZEROA}", 40, -.5*TMath::Pi(), .5*TMath::Pi());
516 fHistPsiVZEROC = BookTH1F("fHistPsiVZEROC", "#Psi_{VZEROC}", 40, -.5*TMath::Pi(), .5*TMath::Pi());
517 fHistPsiVZERO = BookTH1F("fHistPsiVZERO", "#Psi_{VZERO}", 40, -.5*TMath::Pi(), .5*TMath::Pi());
518 fHistPsiTPC = BookTH1F("fHistPsiTPC", "#Psi_{TPC}", 40, -.5*TMath::Pi(), .5*TMath::Pi());
519 fHistPsiVZEROAV0M = BookTH2F("fHistPsiVZEROAV0M", "V0M", "#Psi_{2, VZEROA}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
520 fHistPsiVZEROCV0M = BookTH2F("fHistPsiVZEROCV0M", "V0M", "#Psi_{2, VZEROC}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
521 fHistPsiVZEROVV0M = BookTH2F("fHistPsiVZEROV0M", "V0M", "#Psi_{2, VZERO}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
522 fHistPsiTPCV0M = BookTH2F("fHistPsiTPCV0M", "V0M", "#Psi_{2, TRK}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
523 fHistPsiVZEROATRK = BookTH2F("fHistPsiVZEROATRK", "TRK", "#Psi_{2, VZEROA}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
524 fHistPsiVZEROCTRK = BookTH2F("fHistPsiVZEROCTRK", "TRK", "#Psi_{2, VZEROC}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
525 fHistPsiVZEROTRK = BookTH2F("fHistPsiVZEROTRK", "TRK", "#Psi_{2, VZERO}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
526 fHistPsiTPCTRK = BookTH2F("fHistPsiTPCTRK", "TRK", "#Psi_{2, TRK}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
529 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i ++) {
530 fHistRhoPackage[i] = BookTH1F("fHistRhoPackage", "#rho [GeV/c]", 100, 0, 150, i);
531 fHistRho[i] = BookTH1F("fHistRho", "#rho [GeV/c]", 100, 0, 150, i);
533 fHistRhoVsMult = BookTH2F("fHistRhoVsMult", "multiplicity", "#rho [GeV/c]", 100, 0, 4000, 100, 0, 250);
534 fHistRhoVsCent = BookTH2F("fHistRhoVsCent", "centrality", "#rho [GeV/c]", 100, 0, 100, 100, 0, 250);
535 fHistRhoAVsMult = BookTH2F("fHistRhoAVsMult", "multiplicity", "#rho * A (jet) [GeV/c]", 100, 0, 4000, 100, 0, 50);
536 fHistRhoAVsCent = BookTH2F("fHistRhoAVsCent", "centrality", "#rho * A (jet) [GeV/c]", 100, 0, 100, 100, 0, 50);
538 TString detector("");
539 switch (fDetectorType) {
540 case kTPC : detector+="TPC";
542 case kVZEROA : detector+="VZEROA";
544 case kVZEROC : detector+="VZEROC";
546 case kVZEROComb : detector+="VZEROComb";
548 case kFixedEP : detector+="FixedEP";
552 // delta pt distributions
553 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i ++) {
554 if(fFillQAHistograms) fHistRCPhiEta[i] = BookTH2F("fHistRCPhiEta", "#phi (RC)", "#eta (RC)", 40, phiMin, phiMax, 40, etaMin, etaMax, i);
555 fHistRhoVsRCPt[i] = BookTH2F("fHistRhoVsRCPt", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i);
556 fHistRCPt[i] = BookTH1F("fHistRCPt", "p_{t} (RC) [GeV/c]", 130, -20, 150, i);
557 if(fFillQAHistograms) fHistRCPhiEtaExLJ[i] = BookTH2F("fHistRCPhiEtaExLJ", "#phi (RC)", "#eta (RC)", 40, phiMin, phiMax, 40, etaMin, etaMax, i);
558 fHistDeltaPtDeltaPhi2[i] = BookTH2F("fHistDeltaPtDeltaPhi2", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i);
559 fHistDeltaPtDeltaPhi2Rho0[i] = BookTH2F("fHistDeltaPtDeltaPhi2Rho0", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i);
560 fHistRhoVsRCPtExLJ[i] = BookTH2F("fHistRhoVsRCPtExLJ", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i);
561 fHistRCPtExLJ[i] = BookTH1F("fHistRCPtExLJ", "p_{t} (RC) [GeV/c]", 130, -20, 150, i);
562 fHistDeltaPtDeltaPhi2ExLJ[i] = BookTH2F("fHistDeltaPtDeltaPhi2ExLJ", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i);
563 fHistDeltaPtDeltaPhi2ExLJRho0[i] = BookTH2F("fHistDeltaPtDeltaPhi2ExLJRho0", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i);
564 // jet histograms (after kinematic cuts)
565 fHistJetPtRaw[i] = BookTH1F("fHistJetPtRaw", "p_{t, jet} RAW [GeV/c]", 200, -50, 150, i);
566 fHistJetPt[i] = BookTH1F("fHistJetPt", "p_{t, jet} [GeV/c]", 350, -100, 250, i);
567 if(fFillQAHistograms) fHistJetEtaPhi[i] = BookTH2F("fHistJetEtaPhi", "#eta", "#phi", 100, etaMin, etaMax, 100, phiMin, phiMax, i);
568 fHistJetPtArea[i] = BookTH2F("fHistJetPtArea", "p_{t, jet} [GeV/c]", "Area", 175, -100, 250, 30, 0, 0.9, i);
569 fHistJetPtEta[i] = BookTH2F("fHistJetPtEta", "p_{t, jet} [GeV/c]", "Eta", 175, -100, 250, 30, etaMin, etaMax, i);
570 fHistJetPtConstituents[i] = BookTH2F("fHistJetPtConstituents", "p_{t, jet} [GeV/c]", "no. of constituents", 350, -100, 250, 60, 0, 150, i);
571 fHistJetEtaRho[i] = BookTH2F("fHistJetEtaRho", "#eta", "#rho", 100, etaMin, etaMax, 100, 0, 300, i);
572 // in plane and out of plane spectra
573 fHistJetPsi2Pt[i] = BookTH2F("fHistJetPsi2Pt", Form("#phi_{jet} - #Psi_{2, %s}", detector.Data()), "p_{t, jet} [GeV/c]", 40, 0., TMath::Pi(), 350, -100, 250, i);
574 fHistJetPsi2PtRho0[i] = BookTH2F("fHistJetPsi2PtRho0", Form("#phi_{jet} - #Psi_{2, %s}", detector.Data()), "p_{t, jet} [GeV/c]", 40, 0., TMath::Pi(), 350, -100, 250, i);
575 // profiles for all correlator permutations which are necessary to calculate each second and third order event plane resolution
576 fProfV2Resolution[i] = new TProfile(Form("fProfV2Resolution_%i", i), Form("fProfV2Resolution_%i", i), 11, -0.5, 10.5);
577 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(3, "<cos(2(#Psi_{VZEROA} - #Psi_{VZEROC}))>");
578 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(4, "<cos(2(#Psi_{VZEROC} - #Psi_{VZEROA}))>");
579 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(5, "<cos(2(#Psi_{VZEROA} - #Psi_{TPC}))>");
580 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(6, "<cos(2(#Psi_{TPC} - #Psi_{VZEROA}))>");
581 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(7, "<cos(2(#Psi_{VZEROC} - #Psi_{TPC}))>");
582 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(8, "<cos(2(#Psi_{TPC} - #Psi_{VZEROC}))>");
583 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(9, "<cos(2(#Psi_{VZERO} - #Psi_{TPC_A}))>");
584 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(10, "<cos(2(#Psi_{VZERO} - #Psi_{TPC_B}))>");
585 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(11, "<cos(2(#Psi_{TPC_A} - #Psi_{TPC_B}))>");
586 fOutputList->Add(fProfV2Resolution[i]);
587 fProfV3Resolution[i] = new TProfile(Form("fProfV3Resolution_%i", i), Form("fProfV3Resolution_%i", i), 11, -0.5, 10.5);
588 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(3, "<cos(3(#Psi_{VZEROA} - #Psi_{VZEROC}))>");
589 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(4, "<cos(3(#Psi_{VZEROC} - #Psi_{VZEROA}))>");
590 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(5, "<cos(3(#Psi_{VZEROA} - #Psi_{TPC}))>");
591 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(6, "<cos(3(#Psi_{TPC} - #Psi_{VZEROA}))>");
592 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(7, "<cos(3(#Psi_{VZEROC} - #Psi_{TPC}))>");
593 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(8, "<cos(3(#Psi_{TPC} - #Psi_{VZEROC}))>");
594 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(9, "<cos(3(#Psi_{VZERO} - #Psi_{TPC_A}))>");
595 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(10, "<cos(3(#Psi_{VZERO} - #Psi_{TPC_B}))>");
596 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(11, "<cos(3(#Psi_{TPC_A} - #Psi_{TPC_B}))>");
597 fOutputList->Add(fProfV3Resolution[i]);
600 Float_t temp[fCentralityClasses->GetSize()];
601 for(Int_t i(0); i < fCentralityClasses->GetSize(); i++) temp[i] = fCentralityClasses->At(i);
602 fProfV2 = new TProfile("fProfV2", "fProfV2", fCentralityClasses->GetSize()-1, temp);
603 fProfV3 = new TProfile("fProfV3", "fProfV3", fCentralityClasses->GetSize()-1, temp);
604 fOutputList->Add(fProfV2);
605 fOutputList->Add(fProfV3);
606 switch (fFitModulationType) {
608 fProfV2Cumulant = new TProfile("fProfV2Cumulant", "fProfV2Cumulant", fCentralityClasses->GetSize()-1, temp);
609 fProfV3Cumulant = new TProfile("fProfV3Cumulant", "fProfV3Cumulant", fCentralityClasses->GetSize()-1, temp);
610 fOutputList->Add(fProfV2Cumulant);
611 fOutputList->Add(fProfV3Cumulant);
614 fProfV2Cumulant = new TProfile("fProfV2Cumulant", "fProfV2Cumulant", fCentralityClasses->GetSize()-1, temp);
615 fProfV3Cumulant = new TProfile("fProfV3Cumulant", "fProfV3Cumulant", fCentralityClasses->GetSize()-1, temp);
616 fOutputList->Add(fProfV2Cumulant);
617 fOutputList->Add(fProfV3Cumulant);
621 // for the histograms initialized below, binning is fixed to runnumbers or flags
622 fReduceBinsXByFactor = 1;
623 fReduceBinsYByFactor = 1;
624 if(fFillQAHistograms) {
625 fHistRunnumbersEta = new TH2F("fHistRunnumbersEta", "fHistRunnumbersEta", fExpectedRuns->GetSize()+1, -.5, fExpectedRuns->GetSize()+.5, 100, -1.1, 1.1);
626 fHistRunnumbersEta->Sumw2();
627 fOutputList->Add(fHistRunnumbersEta);
628 fHistRunnumbersPhi = new TH2F("fHistRunnumbersPhi", "fHistRunnumbersPhi", fExpectedRuns->GetSize()+1, -.5, fExpectedRuns->GetSize()+.5, 100, -0.2, TMath::TwoPi()+0.2);
629 fHistRunnumbersPhi->Sumw2();
630 fOutputList->Add(fHistRunnumbersPhi);
631 for(Int_t i(0); i < fExpectedRuns->GetSize(); i++) {
632 fHistRunnumbersPhi->GetXaxis()->SetBinLabel(i+1, Form("%i", fExpectedRuns->At(i)));
633 fHistRunnumbersEta->GetXaxis()->SetBinLabel(i+1, Form("%i", fExpectedRuns->At(i)));
635 fHistRunnumbersPhi->GetXaxis()->SetBinLabel(fExpectedRuns->GetSize()+1, "undetermined");
636 fHistRunnumbersEta->GetXaxis()->SetBinLabel(fExpectedRuns->GetSize()+1, "undetermined");
638 fHistAnalysisSummary = BookTH1F("fHistAnalysisSummary", "flag", 54, -0.5, 54.5);
639 fHistSwap = new TH1F("fHistSwap", "fHistSwap", 20, 0, TMath::TwoPi());
640 if(fUsePtWeight) fHistSwap->Sumw2();
642 if(fUserSuppliedV2) fOutputList->Add(fUserSuppliedV2);
643 if(fUserSuppliedV3) fOutputList->Add(fUserSuppliedV3);
644 if(fUserSuppliedR2) fOutputList->Add(fUserSuppliedR2);
645 if(fUserSuppliedR3) fOutputList->Add(fUserSuppliedR3);
646 if(fEventPlaneWeights) fOutputList->Add(fEventPlaneWeights);
647 // increase readability of output list
649 // cdf and pdf of chisquare distribution
650 fHistPvalueCDF = BookTH1F("fHistPvalueCDF", "CDF #chi^{2}", 50, 0, 1);
651 fHistPvalueCDFCent = BookTH2F("fHistPvalueCDFCent", "centrality", "p-value", 40, 0, 100, 40, 0, 1);
652 fHistChi2Cent = BookTH2F("fHistChi2Cent", "centrality", "#tilde{#chi^{2}}", 100, 0, 100, 100, 0, 5);
653 fHistPChi2 = BookTH2F("fHistPChi2", "p-value", "#tilde{#chi^{2}}", 1000, 0, 1, 100, 0, 5);
654 fHistKolmogorovTest = BookTH1F("fHistKolmogorovTest", "KolmogorovTest", 50, 0, 1);
655 fHistKolmogorovTestCent = BookTH2F("fHistKolmogorovTestCent", "centrality", "Kolmogorov p", 40, 0, 100, 45, 0, 1);
656 fHistPvalueCDFROOT = BookTH1F("fHistPvalueCDFROOT", "CDF #chi^{2} ROOT", 50, 0, 1);
657 fHistPvalueCDFROOTCent = BookTH2F("fHistPvalueCDFROOTCent", "centrality", "p-value ROOT", 40, 0, 100, 45, 0, 1);
658 fHistChi2ROOTCent = BookTH2F("fHistChi2ROOTCent", "centrality", "#tilde{#chi^{2}}", 40, 0, 100, 45, 0, 5);
659 fHistPChi2Root = BookTH2F("fHistPChi2Root", "p-value", "#tilde{#chi^{2}} ROOT", 1000, 0, 1, 100, 0, 5);
660 fHistPKolmogorov = BookTH2F("fHistPKolmogorov", "p-value", "kolmogorov p",40, 0, 1, 40, 0, 1);
661 fHistRhoStatusCent = BookTH2F("fHistRhoStatusCent", "centrality", "status [-1=lin was better, 0=ok, 1 = failed]", 101, -1, 100, 3, -1.5, 1.5);
662 fHistUndeterminedRunQA = BookTH1F("fHistUndeterminedRunQA", "runnumber", 10, 0, 10);
664 PostData(1, fOutputList);
666 switch (fRunModeType) {
668 fOutputListGood = new TList();
669 fOutputListGood->SetOwner(kTRUE);
670 fOutputListBad = new TList();
671 fOutputListBad->SetOwner(kTRUE);
672 PostData(2, fOutputListGood);
673 PostData(3, fOutputListBad);
678 // get the containers
679 fTracksCont = GetParticleContainer("Tracks");
680 fClusterCont = GetClusterContainer(0); // get the default cluster container
681 fJetsCont = GetJetContainer("Jets");
683 //_____________________________________________________________________________
684 Bool_t AliAnalysisTaskJetV2::Run()
686 // called for each accepted event (call made from user exec of parent class)
687 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
688 if(!fTracks||!fJets||!fRho) {
689 if(!fTracks) printf(" > Failed to retrieve fTracks ! < \n");
690 if(!fJets) printf(" > Failed to retrieve fJets ! < \n");
691 if(!fRho) printf(" > Failed to retrieve fRho ! < \n");
694 if(!fLocalInit) fLocalInit = InitializeAnalysis();
695 // reject the event if expected data is missing
696 if(!PassesCuts(InputEvent())) return kFALSE;
697 // cache the leading jet within acceptance
698 fLeadingJet = GetLeadingJet();
700 fLocalRho->SetVal(fRho->GetVal());
701 // place holder arrays for the event planes
703 // [0][0] psi2a [1,0] psi2c
704 // [0][1] psi3a [1,1] psi3c
705 Double_t vzero[2][2];
706 /* for the combined vzero event plane
708 * not fully implmemented yet, use with caution ! */
709 Double_t vzeroComb[2];
712 // evaluate the actual event planes
713 switch (fDetectorType) {
715 // for fixed, fix all ep's to default values
716 tpc[0] = 0.; tpc[1] = 1.;
717 vzero[0][0] = 0.; vzero[0][1] = 1.;
718 vzero[1][0] = 0.; vzero[1][1] = 1.;
719 vzeroComb[0] = 0.; vzeroComb[1] = 1.;
722 // else grab the actual data
723 CalculateEventPlaneVZERO(vzero);
724 CalculateEventPlaneCombinedVZERO(vzeroComb);
725 CalculateEventPlaneTPC(tpc);
728 Double_t psi2(-1), psi3(-1);
729 // arrays which will hold the fit parameters
730 switch (fDetectorType) { // determine the detector type for the rho fit
731 case kTPC : { psi2 = tpc[0]; psi3 = tpc[1]; } break;
732 case kVZEROA : { psi2 = vzero[0][0]; psi3 = vzero[0][1]; } break;
733 case kVZEROC : { psi2 = vzero[1][0]; psi3 = vzero[1][1]; } break;
734 case kVZEROComb : { psi2 = vzeroComb[0]; psi3 = vzeroComb[1];} break;
735 case kFixedEP : { psi2 = 0.; psi3 = 1.;} break;
738 // if requested extract the event plane weight
739 if(fEventPlaneWeights) {
740 fEventPlaneWeight = fEventPlaneWeights->GetBinContent(fEventPlaneWeights->FindBin(psi2));
742 switch (fFitModulationType) { // do the fits
744 switch (fCollisionType) {
745 case kPythia : { // background is zero for pp jets
746 fFitModulation->FixParameter(0, 0);
747 fLocalRho->SetVal(0);
750 fFitModulation->FixParameter(0, fLocalRho->GetVal());
754 case kV2 : { // only v2
755 if(CorrectRho(psi2, psi3)) {
756 fProfV2->Fill(fCent, fFitModulation->GetParameter(3));
757 if(fUserSuppliedR2) {
758 Double_t r(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
759 if(r > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r);
761 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
764 case kV3 : { // only v3
765 if(CorrectRho(psi2, psi3)) {
766 if(fUserSuppliedR3) {
767 Double_t r(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
768 if(r > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r);
770 fProfV3->Fill(fCent, fFitModulation->GetParameter(3));
771 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
774 case kQC2 : { // qc2 analysis
775 if(CorrectRho(psi2, psi3)) {
776 if(fUserSuppliedR2 && fUserSuppliedR3) {
777 // note for the qc method, resolution is REVERSED to go back to v2obs
778 Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
779 Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
780 if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)*r2);
781 if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(7)*r3);
783 if (fUsePtWeight) { // use weighted weights
784 Double_t dQCnM11 = (fNoEventWeightsForQC) ? 1. : QCnM11();
785 fProfV2->Fill(fCent, fFitModulation->GetParameter(3), dQCnM11);
786 fProfV3->Fill(fCent, fFitModulation->GetParameter(7), dQCnM11);
788 Double_t dQCnM = (fNoEventWeightsForQC) ? 2. : QCnM();
789 fProfV2->Fill(fCent, fFitModulation->GetParameter(3), dQCnM*(dQCnM-1));
790 fProfV3->Fill(fCent, fFitModulation->GetParameter(7), dQCnM*(dQCnM-1));
792 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
796 if(CorrectRho(psi2, psi3)) {
797 if(fUserSuppliedR2 && fUserSuppliedR3) {
798 // note for the qc method, resolution is REVERSED to go back to v2obs
799 Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
800 Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
801 if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)*r2);
802 if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(7)*r3);
804 if (fUsePtWeight) { // use weighted weights
805 fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.5)/*, QCnM1111()*/);
806 fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.5)/*, QCnM1111()*/);
808 fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.5)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/);
809 fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.5)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/);
812 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
815 if(CorrectRho(psi2, psi3)) {
816 if(fUserSuppliedR2 && fUserSuppliedR3) {
817 Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
818 Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
819 if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r2);
820 if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(7)/r3);
822 fProfV2->Fill(fCent, fFitModulation->GetParameter(3));
823 fProfV3->Fill(fCent, fFitModulation->GetParameter(7));
824 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
828 // if all went well, update the local rho parameter
829 fLocalRho->SetLocalRho(fFitModulation);
830 // and only at this point can the leading jet after rho subtraction be evaluated
831 if(fFillQAHistograms) fLeadingJetAfterSub = GetLeadingJet(fLocalRho);
832 // fill a number of histograms. event qa needs to be filled first as it also determines the runnumber for the track qa
833 if(fFillQAHistograms) {
834 if(fEventPlaneWeights) FillWeightedQAHistograms(InputEvent());
835 else FillQAHistograms(InputEvent());
837 if(fFillHistograms) FillHistogramsAfterSubtraction(psi2, vzero, vzeroComb, tpc);
838 // send the output to the connected output container
839 PostData(1, fOutputList);
840 switch (fRunModeType) {
842 PostData(2, fOutputListGood);
843 PostData(3, fOutputListBad);
849 //_____________________________________________________________________________
850 void AliAnalysisTaskJetV2::Exec(Option_t* c)
852 // for stand alone, avoid framework event setup
853 switch (fCollisionType) {
855 // need to call ExecOnce as it is not loaded otherwise
856 if(!fLocalRho) AliAnalysisTaskJetV2::ExecOnce();
857 AliAnalysisTaskJetV2::Run();
860 AliAnalysisTaskSE::Exec(c);
864 //_____________________________________________________________________________
865 Double_t AliAnalysisTaskJetV2::CalculateEventPlaneChi(Double_t res)
867 // return chi for given resolution to combine event plane estimates from two subevents
868 // see Phys. Rev. C no. CS6346 (http://arxiv.org/abs/nucl-ex/9805001)
869 Double_t chi(2.), delta(1.), con((TMath::Sqrt(TMath::Pi()))/(2.*TMath::Sqrt(2)));
870 for (Int_t i(0); i < 15; i++) {
871 chi = ((con*chi*TMath::Exp(-chi*chi/4.)*(TMath::BesselI0(chi*chi/4.)+TMath::BesselI1(chi*chi/4.))) < res) ? chi + delta : chi - delta;
876 //_____________________________________________________________________________
877 void AliAnalysisTaskJetV2::CalculateEventPlaneVZERO(Double_t vzero[2][2]) const
879 // get the vzero event plane (a and c separately)
880 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
881 switch (fCollisionType) {
883 // for 10h data, get the calibrated q-vector from the database
884 Double_t QA2[] = {-999., -999.};
885 Double_t QA3[] = {-999., -999.};
886 Double_t QC2[] = {-999., -999.};
887 Double_t QC3[] = {-999., -999.};
888 CalculateQvectorVZERO(QA2, QA3, QC2, QC3);
889 vzero[0][0] = .5*TMath::ATan2(QA2[1], QA2[0]);
890 vzero[1][0] = .5*TMath::ATan2(QC2[1], QC2[0]);
891 vzero[0][1] = (1./3.)*TMath::ATan2(QA3[1], QA3[0]);
892 vzero[1][1] = (1./3.)*TMath::ATan2(QC3[1], QC3[0]);
895 // by default use the ep from the event header (make sure EP selection task is enabeled!)
896 Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0), h(0);
897 vzero[0][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 2, a, b);
898 vzero[1][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 2, c, d);
899 vzero[0][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 3, e, f);
900 vzero[1][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 3, g, h);
905 //_____________________________________________________________________________
906 void AliAnalysisTaskJetV2::CalculateEventPlaneCombinedVZERO(Double_t* comb) const
908 // return the combined vzero event plane
909 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
910 switch (fCollisionType) {
911 // for 10h data call calibration info
913 // get the calibrated q-vectors
914 Double_t Q2[] = {-999., -999.};
915 Double_t Q3[] = {-999., -999.};
916 // return if something isn't ok from the calibration side
917 CalculateQvectorCombinedVZERO(Q2, Q3);
918 comb[0] = .5*TMath::ATan2(Q2[1], Q2[0]);
919 comb[1] = (1./3.)*TMath::ATan2(Q3[1], Q3[0]);
922 // for all other types use calibrated event plane from the event header
923 Double_t a(0), b(0), c(0), d(0);
924 comb[0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 10, 2, a, b);
925 comb[1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 10, 3, c, d);
929 //_____________________________________________________________________________
930 void AliAnalysisTaskJetV2::CalculateEventPlaneTPC(Double_t* tpc)
932 // grab the TPC event plane
933 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
934 fNAcceptedTracks = 0; // reset the track counter
935 Double_t qx2(0), qy2(0); // for psi2
936 Double_t qx3(0), qy3(0); // for psi3
938 Float_t excludeInEta = -999;
939 if(fExcludeLeadingJetsFromFit > 0 ) { // remove the leading jet from ep estimate
940 if(fLeadingJet) excludeInEta = fLeadingJet->Eta();
942 for(Int_t iTPC(0); iTPC < fTracksCont->GetNEntries(); iTPC++) {
943 AliVParticle* track = fTracksCont->GetParticle(iTPC);
944 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
945 if(fExcludeLeadingJetsFromFit > 0 &&( (TMath::Abs(track->Eta() - excludeInEta) < GetJetContainer()->GetJetRadius()*fExcludeLeadingJetsFromFit ) || (TMath::Abs(track->Eta()) - GetJetContainer()->GetJetRadius() - GetJetContainer()->GetJetEtaMax() ) > 0 )) continue;
947 qx2+= TMath::Cos(2.*track->Phi());
948 qy2+= TMath::Sin(2.*track->Phi());
949 qx3+= TMath::Cos(3.*track->Phi());
950 qy3+= TMath::Sin(3.*track->Phi());
953 tpc[0] = .5*TMath::ATan2(qy2, qx2);
954 tpc[1] = (1./3.)*TMath::ATan2(qy3, qx3);
956 //_____________________________________________________________________________
957 void AliAnalysisTaskJetV2::CalculateEventPlaneResolution(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc)
959 // fill the profiles for the resolution parameters
960 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
961 fProfV2Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(2.*(vzero[0][0] - vzero[1][0])));
962 fProfV2Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(2.*(vzero[1][0] - vzero[0][0])));
963 fProfV2Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(2.*(vzero[0][0] - tpc[0])));
964 fProfV2Resolution[fInCentralitySelection]->Fill(5., TMath::Cos(2.*(tpc[0] - vzero[0][0])));
965 fProfV2Resolution[fInCentralitySelection]->Fill(6., TMath::Cos(2.*(vzero[1][0] - tpc[0])));
966 fProfV2Resolution[fInCentralitySelection]->Fill(7., TMath::Cos(2.*(tpc[0] - vzero[1][0])));
967 fProfV3Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(3.*(vzero[0][0] - vzero[1][0])));
968 fProfV3Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(3.*(vzero[1][0] - vzero[0][0])));
969 fProfV3Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(3.*(vzero[0][0] - tpc[0])));
970 fProfV3Resolution[fInCentralitySelection]->Fill(5., TMath::Cos(3.*(tpc[0] - vzero[0][0])));
971 fProfV3Resolution[fInCentralitySelection]->Fill(6., TMath::Cos(3.*(vzero[1][0] - tpc[0])));
972 fProfV3Resolution[fInCentralitySelection]->Fill(7., TMath::Cos(3.*(tpc[0] - vzero[1][0])));
973 // for the resolution of the combined vzero event plane, use two tpc halves as uncorrelated subdetectors
974 Double_t qx2a(0), qy2a(0); // for psi2a, negative eta
975 Double_t qx3a(0), qy3a(0); // for psi3a, negative eta
976 Double_t qx2b(0), qy2b(0); // for psi2a, positive eta
977 Double_t qx3b(0), qy3b(0); // for psi3a, positive eta
979 Int_t iTracks(fTracks->GetEntriesFast());
980 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
981 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
982 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
983 if(track->Eta() < 0 ) {
984 qx2a+= TMath::Cos(2.*track->Phi());
985 qy2a+= TMath::Sin(2.*track->Phi());
986 qx3a+= TMath::Cos(3.*track->Phi());
987 qy3a+= TMath::Sin(3.*track->Phi());
988 } else if (track->Eta() > 0) {
989 qx2b+= TMath::Cos(2.*track->Phi());
990 qy2b+= TMath::Sin(2.*track->Phi());
991 qx3b+= TMath::Cos(3.*track->Phi());
992 qy3b+= TMath::Sin(3.*track->Phi());
996 Double_t tpca2(.5*TMath::ATan2(qy2a, qx2a));
997 Double_t tpca3((1./3.)*TMath::ATan2(qy3a, qx3a));
998 Double_t tpcb2(.5*TMath::ATan2(qy2b, qx2b));
999 Double_t tpcb3((1./3.)*TMath::ATan2(qy3b, qx3b));
1000 fProfV2Resolution[fInCentralitySelection]->Fill(8., TMath::Cos(2.*(vzeroComb[0] - tpca2)));
1001 fProfV2Resolution[fInCentralitySelection]->Fill(9., TMath::Cos(2.*(vzeroComb[0] - tpcb2)));
1002 fProfV2Resolution[fInCentralitySelection]->Fill(10., TMath::Cos(2.*(tpca2 - tpcb2)));
1003 fProfV3Resolution[fInCentralitySelection]->Fill(8., TMath::Cos(3.*(vzeroComb[1] - tpca3)));
1004 fProfV3Resolution[fInCentralitySelection]->Fill(9., TMath::Cos(3.*(vzeroComb[1] - tpcb3)));
1005 fProfV3Resolution[fInCentralitySelection]->Fill(10., TMath::Cos(3.*(tpca3 - tpcb3)));
1007 //_____________________________________________________________________________
1008 void AliAnalysisTaskJetV2::CalculateQvectorVZERO(Double_t Qa2[2], Double_t Qc2[2], Double_t Qa3[2], Double_t Qc3[2]) const
1010 // return the calibrated 2nd and 3rd order q-vectors for vzeroa and vzeroc
1011 // function takes arrays as arguments, which correspond to vzero info in the following way
1013 // Qa2[0] = Qx2 for vzero A Qa2[1] = Qy2 for vzero A (etc)
1015 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1016 // placeholders for geometric information
1017 Double_t phi(-999.), weight(-999.);
1018 // reset placeholders for Q-vector components
1019 Qa2[0] = 0.; Qc2[0] = 0.; Qa3[0] = 0.; Qc3[0] = 0.;
1020 Qa2[1] = 0.; Qc2[1] = 0.; Qa3[1] = 0.; Qc3[1] = 0.;
1022 for(Int_t i(0); i < 64; i++) {
1023 // loop over all scintillators, construct Q-vectors in the same loop
1024 phi = TMath::PiOver4()*(0.5+i%8);
1026 // note that disabled rings have already been excluded in ReadVZEROCalibration2010h
1027 if(i<32) { // v0c side
1028 if(i < 8) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROCpol[0]/fVZEROgainEqualization->GetBinContent(1+i);
1029 else if (i < 16 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROCpol[1]/fVZEROgainEqualization->GetBinContent(1+i);
1030 else if (i < 24 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROCpol[2]/fVZEROgainEqualization->GetBinContent(1+i);
1031 else if (i < 32 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROCpol[3]/fVZEROgainEqualization->GetBinContent(1+i);
1032 // fill Q-vectors for v0c side
1033 Qc2[0]+=weight*TMath::Cos(2.*phi);
1034 Qc3[0]+=weight*TMath::Cos(3.*phi);
1035 Qc2[1]+=weight*TMath::Sin(2.*phi);
1036 Qc3[1]+=weight*TMath::Sin(3.*phi);
1037 } else { // v0a side
1038 if( i < 40) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROApol[0]/fVZEROgainEqualization->GetBinContent(1+i);
1039 else if ( i < 48 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROApol[1]/fVZEROgainEqualization->GetBinContent(1+i);
1040 else if ( i < 56 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROApol[2]/fVZEROgainEqualization->GetBinContent(1+i);
1041 else if ( i < 64 ) weight = InputEvent()->GetVZEROData()->GetMultiplicity(i)*fVZEROApol[3]/fVZEROgainEqualization->GetBinContent(1+i);
1042 // fill Q-vectors for v0a side
1043 Qa2[0]+=weight*TMath::Cos(2.*phi);
1044 Qa3[0]+=weight*TMath::Cos(3.*phi);
1045 Qa2[1]+=weight*TMath::Sin(2.*phi);
1046 Qa3[1]+=weight*TMath::Sin(3.*phi);
1049 // get the cache index and read the correction terms from the cache
1050 Int_t VZEROcentralityBin(GetVZEROCentralityBin());
1051 Double_t Qx2amean = fMeanQ[VZEROcentralityBin][1][0];
1052 Double_t Qx2arms = fWidthQ[VZEROcentralityBin][1][0];
1053 Double_t Qy2amean = fMeanQ[VZEROcentralityBin][1][1];
1054 Double_t Qy2arms = fWidthQ[VZEROcentralityBin][1][1];
1056 Double_t Qx2cmean = fMeanQ[VZEROcentralityBin][0][0];
1057 Double_t Qx2crms = fWidthQ[VZEROcentralityBin][0][0];
1058 Double_t Qy2cmean = fMeanQ[VZEROcentralityBin][0][1];
1059 Double_t Qy2crms = fWidthQ[VZEROcentralityBin][0][1];
1061 Double_t Qx3amean = fMeanQv3[VZEROcentralityBin][1][0];
1062 Double_t Qx3arms = fWidthQv3[VZEROcentralityBin][1][0];
1063 Double_t Qy3amean = fMeanQv3[VZEROcentralityBin][1][1];
1064 Double_t Qy3arms = fWidthQv3[VZEROcentralityBin][1][1];
1066 Double_t Qx3cmean = fMeanQv3[VZEROcentralityBin][0][0];
1067 Double_t Qx3crms = fWidthQv3[VZEROcentralityBin][0][0];
1068 Double_t Qy3cmean = fMeanQv3[VZEROcentralityBin][0][1];
1069 Double_t Qy3crms = fWidthQv3[VZEROcentralityBin][0][1];
1071 // update the weighted q-vectors with the re-centered values
1072 Qa2[0] = (Qa2[0] - Qx2amean)/Qx2arms;
1073 Qa2[1] = (Qa2[1] - Qy2amean)/Qy2arms;
1074 Qc2[0] = (Qc2[0] - Qx2cmean)/Qx2crms;
1075 Qc2[1] = (Qc2[1] - Qy2cmean)/Qy2crms;
1077 Qa3[0] = (Qa3[0] - Qx3amean)/Qx3arms;
1078 Qa3[1] = (Qa3[1] - Qy3amean)/Qy3arms;
1079 Qc3[0] = (Qc3[0] - Qx3cmean)/Qx3crms;
1080 Qc3[1] = (Qc3[0] - Qy3cmean)/Qy3crms;
1082 //_____________________________________________________________________________
1083 void AliAnalysisTaskJetV2::CalculateQvectorCombinedVZERO(Double_t Q2[2], Double_t Q3[2]) const
1085 // calculate calibrated q-vector of the combined vzeroa, vzeroc system
1086 // this is somewhat ugly as CalculateQvectorCombinedVZERO is called more than once per event
1087 // but for now it will have to do ...
1088 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1090 // first step: retrieve the q-vectors component-wise per vzero detector
1091 Double_t QA2[] = {-999., -999.};
1092 Double_t QA3[] = {-999., -999.};
1093 Double_t QC2[] = {-999., -999.};
1094 Double_t QC3[] = {-999., -999.};
1095 CalculateQvectorVZERO(QA2, QA3, QC2, QC3);
1097 // get cache index and retrieve the chi weights for this centrality
1098 Int_t VZEROcentralityBin(GetVZEROCentralityBin());
1099 Double_t chi2A(fChi2A->At(VZEROcentralityBin));
1100 Double_t chi2C(fChi2C->At(VZEROcentralityBin));
1101 Double_t chi3A(fChi3A->At(VZEROcentralityBin));
1102 Double_t chi3C(fChi3C->At(VZEROcentralityBin));
1104 // combine the vzera and vzeroc signal
1105 Q2[0] = chi2A*chi2A*QA2[0]+chi2C*chi2C*QC2[0];
1106 Q2[1] = chi2A*chi2A*QA2[1]+chi2C*chi2C*QC2[1];
1107 Q3[0] = chi3A*chi3A*QA3[0]+chi3C*chi3C*QC3[0];
1108 Q3[1] = chi3A*chi3A*QC3[1]+chi3C*chi3C*QC3[1];
1110 //_____________________________________________________________________________
1111 void AliAnalysisTaskJetV2::CalculateRandomCone(Float_t &pt, Float_t &eta, Float_t &phi,
1112 AliParticleContainer* tracksCont, AliClusterContainer* clusterCont, AliEmcalJet* jet) const
1114 // get a random cone
1115 if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1116 pt = 0; eta = 0; phi = 0;
1117 Float_t etaJet(999), phiJet(999), dJet(999); // no jet: same as jet very far away
1118 if(jet) { // if a leading jet is given, use its kinematic properties to exclude it
1119 etaJet = jet->Eta();
1120 phiJet = jet->Phi();
1122 // the random cone acceptance has to equal the jet acceptance
1123 // this also insures safety when runnnig on the semi-good tpc runs for 11h data,
1124 // where jet acceptance is adjusted to reduced acceptance - hence random cone acceptance as well
1125 Float_t minPhi(GetJetContainer()->GetJetPhiMin()), maxPhi(GetJetContainer()->GetJetPhiMax());
1126 if(maxPhi > TMath::TwoPi()) maxPhi = TMath::TwoPi();
1127 if(minPhi < 0 ) minPhi = 0.;
1128 // construct a random cone and see if it's far away enough from the leading jet
1129 Int_t attempts(1000);
1132 eta = gRandom->Uniform(GetJetContainer()->GetJetEtaMin(), GetJetContainer()->GetJetEtaMax());
1133 phi = gRandom->Uniform(minPhi, maxPhi);
1135 dJet = TMath::Sqrt((etaJet-eta)*(etaJet-eta)+(phiJet-phi)*(phiJet-phi));
1136 if(dJet > fMinDisanceRCtoLJ) break;
1137 else if (attempts == 0) {
1138 printf(" > No random cone after 1000 tries, giving up ... !\n");
1142 // get the charged energy (if tracks are provided)
1144 AliVParticle* track = tracksCont->GetNextAcceptParticle(0);
1146 Float_t etaTrack(track->Eta()), phiTrack(track->Phi());
1147 // get distance from cone
1148 if(TMath::Abs(phiTrack-phi) > TMath::Abs(phiTrack - phi + TMath::TwoPi())) phiTrack+=TMath::TwoPi();
1149 if(TMath::Abs(phiTrack-phi) > TMath::Abs(phiTrack - phi - TMath::TwoPi())) phiTrack-=TMath::TwoPi();
1150 if(TMath::Sqrt(TMath::Abs((etaTrack-eta)*(etaTrack-eta)+(phiTrack-phi)*(phiTrack-phi))) <= GetJetRadius()) pt += track->Pt();
1151 track = tracksCont->GetNextAcceptParticle();
1154 // get the neutral energy (if clusters are provided)
1156 TLorentzVector momentum;
1157 AliVCluster* cluster = clusterCont->GetNextAcceptCluster(0);
1159 cluster->GetMomentum(momentum, const_cast<Double_t*>(fVertex));
1160 Float_t etaClus(momentum.Eta()), phiClus(momentum.Phi());
1161 // get distance from cone
1162 if(TMath::Abs(phiClus-phi) > TMath::Abs(phiClus - phi + TMath::TwoPi())) phiClus+=TMath::TwoPi();
1163 if(TMath::Abs(phiClus-phi) > TMath::Abs(phiClus - phi - TMath::TwoPi())) phiClus-=TMath::TwoPi();
1164 if(TMath::Sqrt(TMath::Abs((etaClus-eta)*(etaClus-eta)+(phiClus-phi)*(phiClus-phi))) <= GetJetRadius()) pt += momentum.Pt();
1165 cluster = clusterCont->GetNextAcceptCluster();
1169 //_____________________________________________________________________________
1170 Double_t AliAnalysisTaskJetV2::CalculateQC2(Int_t harm) {
1171 // get the second order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho
1172 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1173 Double_t reQ(0), imQ(0), modQ(0), M11(0), M(0);
1174 if(fUsePtWeight) { // for the weighted 2-nd order q-cumulant
1175 QCnQnk(harm, 1, reQ, imQ); // get the weighted 2-nd order q-vectors
1176 modQ = reQ*reQ+imQ*imQ; // get abs Q-squared
1177 M11 = QCnM11(); // equals S2,1 - S1,2
1178 return (M11 > 0) ? ((modQ - QCnS(1,2))/M11) : -999;
1179 } // else return the non-weighted 2-nd order q-cumulant
1180 QCnQnk(harm, 0, reQ, imQ); // get the non-weighted 2-nd order q-vectors
1181 modQ = reQ*reQ+imQ*imQ; // get abs Q-squared
1183 return (M > 1) ? (modQ - M)/(M*(M-1)) : -999;
1185 //_____________________________________________________________________________
1186 Double_t AliAnalysisTaskJetV2::CalculateQC4(Int_t harm) {
1187 // get the fourth order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho
1188 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1189 Double_t reQn1(0), imQn1(0), reQ2n2(0), imQ2n2(0), reQn3(0), imQn3(0), M1111(0), M(0);
1190 Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0); // terms of the calculation
1191 if(fUsePtWeight) { // for the weighted 4-th order q-cumulant
1192 QCnQnk(harm, 1, reQn1, imQn1);
1193 QCnQnk(harm*2, 2, reQ2n2, imQ2n2);
1194 QCnQnk(harm, 3, reQn3, imQn3);
1195 // fill in the terms ...
1196 a = (reQn1*reQn1+imQn1*imQn1)*(reQn1*reQn1+imQn1*imQn1);
1197 b = reQ2n2*reQ2n2 + imQ2n2*imQ2n2;
1198 c = -2.*(reQ2n2*reQn1*reQn1-reQ2n2*imQn1*imQn1+2.*imQ2n2*reQn1*imQn1);
1199 d = 8.*(reQn3*reQn1+imQn3*imQn1);
1200 e = -4.*QCnS(1,2)*(reQn1*reQn1+imQn1*imQn1);
1204 return (M1111 > 0) ? (a+b+c+d+e+f+g)/M1111 : -999;
1205 } // else return the unweighted case
1206 Double_t reQn(0), imQn(0), reQ2n(0), imQ2n(0);
1207 QCnQnk(harm, 0, reQn, imQn);
1208 QCnQnk(harm*2, 0, reQ2n, imQ2n);
1209 // fill in the terms ...
1211 if(M < 4) return -999;
1212 a = (reQn*reQn+imQn*imQn)*(reQn*reQn+imQn*imQn);
1213 b = reQ2n*reQ2n + imQ2n*imQ2n;
1214 c = -2.*(reQ2n*reQn*reQn-reQ2n*imQn*imQn+2.*imQ2n*reQn*imQn);
1215 e = -4.*(M-2)*(reQn*reQn+imQn*imQn);
1217 return (a+b+c+e+f)/(M*(M-1)*(M-2)*(M-3));
1219 //_____________________________________________________________________________
1220 void AliAnalysisTaskJetV2::QCnQnk(Int_t n, Int_t k, Double_t &reQ, Double_t &imQ) {
1221 // get the weighted n-th order q-vector, pass real and imaginary part as reference
1222 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1223 if(!fTracks) return;
1224 fNAcceptedTracksQCn = 0;
1225 Int_t iTracks(fTracks->GetEntriesFast());
1226 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
1227 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
1228 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
1229 fNAcceptedTracksQCn++;
1230 // for the unweighted case, k equals zero and the weight doesn't contribute to the equation below
1231 reQ += TMath::Power(track->Pt(), k) * TMath::Cos(((double)n)*track->Phi());
1232 imQ += TMath::Power(track->Pt(), k) * TMath::Sin(((double)n)*track->Phi());
1235 //_____________________________________________________________________________
1236 void AliAnalysisTaskJetV2::QCnDiffentialFlowVectors(
1237 TClonesArray* pois, TArrayD* ptBins, Bool_t vpart, Double_t* repn, Double_t* impn,
1238 Double_t *mp, Double_t *reqn, Double_t *imqn, Double_t* mq, Int_t n)
1240 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1241 // get unweighted differential flow vectors
1242 Int_t iPois(pois->GetEntriesFast());
1244 for(Int_t i(0); i < iPois; i++) {
1245 for(Int_t ptBin(0); ptBin < ptBins->GetSize()-1; ptBin++) {
1246 AliVTrack* poi = static_cast<AliVTrack*>(pois->At(i));
1247 if(PassesCuts(poi)) {
1248 if(poi->Pt() >= ptBins->At(ptBin) && poi->Pt() < ptBins->At(ptBin+1)) {
1249 // fill the flow vectors assuming that all poi's are in the rp selection (true by design)
1250 repn[ptBin]+=TMath::Cos(((double)n)*poi->Phi());
1251 impn[ptBin]+=TMath::Sin(((double)n)*poi->Phi());
1253 reqn[ptBin]+=TMath::Cos(((double)n)*poi->Phi());
1254 imqn[ptBin]+=TMath::Sin(((double)n)*poi->Phi());
1261 for(Int_t i(0); i < iPois; i++) {
1262 for(Int_t ptBin(0); ptBin < ptBins->GetSize()-1; ptBin++) {
1263 AliEmcalJet* poi = static_cast<AliEmcalJet*>(pois->At(i));
1264 if(PassesCuts(poi)) {
1265 Double_t pt(poi->Pt()-poi->Area()*fLocalRho->GetLocalVal(poi->Phi(), GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
1266 if(pt >= ptBins->At(ptBin) && pt < ptBins->At(ptBin+1)) {
1267 repn[ptBin]+=TMath::Cos(((double)n)*poi->Phi());
1268 impn[ptBin]+=TMath::Sin(((double)n)*poi->Phi());
1269 mp[ptBin]++; // qn isn't filled, no overlap between poi's and rp's
1276 //_____________________________________________________________________________
1277 Double_t AliAnalysisTaskJetV2::QCnS(Int_t i, Int_t j) {
1278 // get the weighted ij-th order autocorrelation correction
1279 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1280 if(!fTracks || i <= 0 || j <= 0) return -999;
1281 Int_t iTracks(fTracks->GetEntriesFast());
1283 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
1284 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
1285 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
1286 Sij+=TMath::Power(track->Pt(), j);
1288 return TMath::Power(Sij, i);
1290 //_____________________________________________________________________________
1291 Double_t AliAnalysisTaskJetV2::QCnM() {
1292 // get multiplicity for unweighted q-cumulants. function QCnQnk should be called first
1293 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1294 return (Double_t) fNAcceptedTracksQCn;
1296 //_____________________________________________________________________________
1297 Double_t AliAnalysisTaskJetV2::QCnM11() {
1298 // get multiplicity weights for the weighted two particle cumulant
1299 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1300 return (QCnS(2,1) - QCnS(1,2));
1302 //_____________________________________________________________________________
1303 Double_t AliAnalysisTaskJetV2::QCnM1111() {
1304 // get multiplicity weights for the weighted four particle cumulant
1305 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1306 return (QCnS(4,1)-6*QCnS(1,2)*QCnS(2,1)+8*QCnS(1,3)*QCnS(1,1)+3*QCnS(2,2)-6*QCnS(1,4));
1308 //_____________________________________________________________________________
1309 Bool_t AliAnalysisTaskJetV2::QCnRecovery(Double_t psi2, Double_t psi3) {
1310 // decides how to deal with the situation where c2 or c3 is negative
1311 // returns kTRUE depending on whether or not a modulated rho is used for the jet background
1312 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1313 if(TMath::AreEqualAbs(fFitModulation->GetParameter(3), .0, 1e-10) && TMath::AreEqualAbs(fFitModulation->GetParameter(7), .0,1e-10)) {
1314 fFitModulation->SetParameter(7, 0);
1315 fFitModulation->SetParameter(3, 0);
1316 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1317 return kTRUE; // v2 and v3 have physical null values
1319 switch (fQCRecovery) {
1320 case kFixedRho : { // roll back to the original rho
1321 fFitModulation->SetParameter(7, 0);
1322 fFitModulation->SetParameter(3, 0);
1323 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1324 return kFALSE; // rho is forced to be fixed
1326 case kNegativeVn : {
1327 Double_t c2(fFitModulation->GetParameter(3));
1328 Double_t c3(fFitModulation->GetParameter(7));
1329 if( c2 < 0 ) c2 = -1.*TMath::Sqrt(-1.*c2);
1330 if( c3 < 0 ) c3 = -1.*TMath::Sqrt(-1.*c3);
1331 fFitModulation->SetParameter(3, c2);
1332 fFitModulation->SetParameter(7, c3);
1333 return kTRUE; // is this a physical quantity ?
1336 fitModulationType tempType(fFitModulationType); // store temporarily
1337 fFitModulationType = kCombined;
1338 fFitModulation->SetParameter(7, 0);
1339 fFitModulation->SetParameter(3, 0);
1340 Bool_t pass(CorrectRho(psi2, psi3)); // do the fit and all quality checks
1341 fFitModulationType = tempType; // roll back for next event
1344 default : return kFALSE;
1348 //_____________________________________________________________________________
1349 Bool_t AliAnalysisTaskJetV2::CorrectRho(Double_t psi2, Double_t psi3)
1351 // get rho' -> rho(phi)
1352 // two routines are available, both can be used with or without pt weights
1353 // [1] get vn from q-cumulants or as an integrated value from a user supplied histogram
1354 // in case of cumulants, both cumulants and vn values are stored. in both cases, v2 and v3
1355 // are expected. a check is performed to see if rho has no negative local minimum
1356 // for full description, see Phys. Rev. C 83, 044913
1357 // since the cn distribution has negative values, vn = sqrt(cn) can be imaginary sometimes
1358 // in this case one can either roll back to the 'original' rixed rho, do a fit for vn or take use
1359 // vn = - sqrt(|cn|)
1360 // [2] fitting a fourier expansion to the de/dphi distribution
1361 // the fit can be done with either v2, v3 or a combination.
1362 // in all cases, a cut can be made on the p-value of the chi-squared value of the fit
1363 // and a check can be performed to see if rho has no negative local minimum
1364 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1365 Int_t freeParams(2); // free parameters of the fit (for NDF)
1366 switch (fFitModulationType) { // for approaches where no fitting is required
1368 fFitModulation->FixParameter(4, psi2);
1369 fFitModulation->FixParameter(6, psi3);
1370 fFitModulation->FixParameter(3, CalculateQC2(2)); // set here with cn, vn = sqrt(cn)
1371 fFitModulation->FixParameter(7, CalculateQC2(3));
1372 // first fill the histos of the raw cumulant distribution
1373 if (fUsePtWeight) { // use weighted weights
1374 Double_t dQCnM11 = (fNoEventWeightsForQC) ? 1. : QCnM11();
1375 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3), dQCnM11);
1376 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7), dQCnM11);
1378 Double_t dQCnM = (fNoEventWeightsForQC) ? 2. : QCnM();
1379 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3), dQCnM*(dQCnM-1));
1380 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7), dQCnM*(dQCnM-1));
1382 // then see if one of the cn value is larger than zero and vn is readily available
1383 if(fFitModulation->GetParameter(3) > 0 && fFitModulation->GetParameter(7) > 0) {
1384 fFitModulation->FixParameter(3, TMath::Sqrt(fFitModulation->GetParameter(3)));
1385 fFitModulation->FixParameter(7, TMath::Sqrt(fFitModulation->GetParameter(7)));
1386 } else if (!QCnRecovery(psi2, psi3)) return kFALSE; // try to recover the cumulant, this will set v2 and v3
1387 if(fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) { // general check
1388 fFitModulation->SetParameter(7, 0);
1389 fFitModulation->SetParameter(3, 0);
1390 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1396 fFitModulation->FixParameter(4, psi2);
1397 fFitModulation->FixParameter(6, psi3);
1398 fFitModulation->FixParameter(3, CalculateQC4(2)); // set here with cn, vn = sqrt(cn)
1399 fFitModulation->FixParameter(7, CalculateQC4(3));
1400 // first fill the histos of the raw cumulant distribution
1401 if (fUsePtWeight) { // use weighted weights
1402 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3)/*, QCnM1111()*/);
1403 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7)/*, QCnM1111()*/);
1405 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3)/*, QCnM1111()*/);
1406 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7)/*, QCnM1111()*/);
1408 // then see if one of the cn value is larger than zero and vn is readily available
1409 if(fFitModulation->GetParameter(3) > 0 && fFitModulation->GetParameter(7) > 0) {
1410 fFitModulation->FixParameter(3, TMath::Sqrt(fFitModulation->GetParameter(3)));
1411 fFitModulation->FixParameter(7, TMath::Sqrt(fFitModulation->GetParameter(7)));
1412 } else if (!QCnRecovery(psi2, psi3)) return kFALSE; // try to recover the cumulant, this will set v2 and v3
1413 if(fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) { // general check
1414 fFitModulation->SetParameter(7, 0);
1415 fFitModulation->SetParameter(3, 0);
1416 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1420 case kIntegratedFlow : {
1421 // use v2 and v3 values from an earlier iteration over the data
1422 fFitModulation->FixParameter(3, fUserSuppliedV2->GetBinContent(fUserSuppliedV2->GetXaxis()->FindBin(fCent)));
1423 fFitModulation->FixParameter(4, psi2);
1424 fFitModulation->FixParameter(6, psi3);
1425 fFitModulation->FixParameter(7, fUserSuppliedV3->GetBinContent(fUserSuppliedV3->GetXaxis()->FindBin(fCent)));
1426 if(fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) {
1427 fFitModulation->SetParameter(7, 0);
1428 fFitModulation->SetParameter(3, 0);
1429 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1436 TString detector("");
1437 switch (fDetectorType) {
1438 case kTPC : detector+="TPC";
1440 case kVZEROA : detector+="VZEROA";
1442 case kVZEROC : detector+="VZEROC";
1444 case kVZEROComb : detector+="VZEROComb";
1446 case kFixedEP : detector+="FixedEP";
1450 Int_t iTracks(fTracks->GetEntriesFast());
1451 Double_t excludeInEta = -999;
1452 Double_t excludeInPhi = -999;
1453 Double_t excludeInPt = -999;
1454 if(iTracks <= 0 || fLocalRho->GetVal() <= 0 ) return kFALSE; // no use fitting an empty event ...
1455 if(fExcludeLeadingJetsFromFit > 0 ) {
1457 excludeInEta = fLeadingJet->Eta();
1458 excludeInPhi = fLeadingJet->Phi();
1459 excludeInPt = fLeadingJet->Pt();
1462 // check the acceptance of the track selection that will be used
1463 // if one uses e.g. semi-good tpc tracks, accepance in phi is reduced to 0 < phi < 4
1464 // the defaults (-10 < phi < 10) which accept all, are then overwritten
1465 Double_t lowBound(0.), upBound(TMath::TwoPi()); // bounds for fit
1466 if(GetParticleContainer()->GetParticlePhiMin() > lowBound) lowBound = GetParticleContainer()->GetParticlePhiMin();
1467 if(GetParticleContainer()->GetParticlePhiMax() < upBound) upBound = GetParticleContainer()->GetParticlePhiMax();
1468 fHistSwap->Reset(); // clear the histogram
1469 TH1F _tempSwap; // on stack for quick access
1470 TH1F _tempSwapN; // on stack for quick access, bookkeeping histogram
1471 if(fRebinSwapHistoOnTheFly) {
1472 if(fNAcceptedTracks < 49) fNAcceptedTracks = 49; // avoid aliasing effects
1473 _tempSwap = TH1F("_tempSwap", "_tempSwap", TMath::CeilNint(TMath::Sqrt(fNAcceptedTracks)), lowBound, upBound);
1474 if(fUsePtWeightErrorPropagation) _tempSwapN = TH1F("_tempSwapN", "_tempSwapN", TMath::CeilNint(TMath::Sqrt(fNAcceptedTracks)), lowBound, upBound);
1475 if(fUsePtWeight) _tempSwap.Sumw2();
1477 else _tempSwap = *fHistSwap; // now _tempSwap holds the desired histo
1478 // non poissonian error when using pt weights
1479 Double_t totalpts(0.), totalptsquares(0.), totalns(0.);
1480 for(Int_t i(0); i < iTracks; i++) {
1481 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1482 if(fExcludeLeadingJetsFromFit > 0 &&( (TMath::Abs(track->Eta() - excludeInEta) < GetJetContainer()->GetJetRadius()*fExcludeLeadingJetsFromFit ) || (TMath::Abs(track->Eta()) - GetJetContainer()->GetJetRadius() - GetJetContainer()->GetJetEtaMax() ) > 0 )) continue;
1483 if(!PassesCuts(track) || track->Pt() > fSoftTrackMaxPt || track->Pt() < fSoftTrackMinPt) continue;
1485 _tempSwap.Fill(track->Phi(), track->Pt());
1486 if(fUsePtWeightErrorPropagation) {
1487 totalpts += track->Pt();
1488 totalptsquares += track->Pt()*track->Pt();
1490 _tempSwapN.Fill(track->Phi());
1493 else _tempSwap.Fill(track->Phi());
1495 if(fUsePtWeight && fUsePtWeightErrorPropagation) {
1496 // in the case of pt weights overwrite the poissonian error estimate which is assigned by root by a more sophisticated appraoch
1497 // the assumption here is that the bin error will be dominated by the uncertainty in the mean pt in a bin and in the uncertainty
1498 // of the number of tracks in a bin, the first of which will be estimated from the sample standard deviation of all tracks in the
1499 // event, for the latter use a poissonian estimate. the two contrubitions are assumed to be uncorrelated
1500 if(totalns < 2) return kFALSE; // not one track passes the cuts > 2 avoids possible division by 0 later on
1501 for(Int_t l = 0; l < _tempSwap.GetNbinsX(); l++) {
1502 if(_tempSwapN.GetBinContent(l+1) == 0) {
1503 _tempSwap.SetBinContent(l+1,0);
1504 _tempSwap.SetBinError(l+1,0);
1507 Double_t vartimesnsq = totalptsquares*totalns - totalpts*totalpts;
1508 Double_t variance = vartimesnsq/(totalns*(totalns-1.));
1509 Double_t SDOMSq = variance / _tempSwapN.GetBinContent(l+1);
1510 Double_t SDOMSqOverMeanSq = SDOMSq * _tempSwapN.GetBinContent(l+1) * _tempSwapN.GetBinContent(l+1) / (_tempSwapN.GetBinContent(l+1) * _tempSwapN.GetBinContent(l+1));
1511 Double_t poissonfrac = 1./_tempSwapN.GetBinContent(l+1);
1512 Double_t vartotalfrac = SDOMSqOverMeanSq + poissonfrac;
1513 Double_t vartotal = vartotalfrac * _tempSwap.GetBinContent(l+1) * _tempSwap.GetBinContent(l+1);
1514 if(vartotal > 0.0001) _tempSwap.SetBinError(l+1,TMath::Sqrt(vartotal));
1516 _tempSwap.SetBinContent(l+1,0);
1517 _tempSwap.SetBinError(l+1,0);
1522 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1523 switch (fFitModulationType) {
1525 fFitModulation->FixParameter(0, fLocalRho->GetVal() );
1529 fFitModulation->FixParameter(4, psi2);
1533 fFitModulation->FixParameter(4, psi3);
1537 fFitModulation->FixParameter(4, psi2);
1538 fFitModulation->FixParameter(6, psi3);
1541 case kFourierSeries : {
1542 // in this approach, an explicit calculation will be made of vn = sqrt(xn^2+yn^2)
1543 // where x[y] = Integrate[r(phi)cos[sin](n phi)dphi, 0, 2pi]
1544 Double_t cos2(0), sin2(0), cos3(0), sin3(0), sumPt(0);
1545 for(Int_t i(0); i < iTracks; i++) {
1546 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1547 if(!PassesCuts(track) || track->Pt() > fSoftTrackMaxPt || track->Pt() < fSoftTrackMinPt) continue;
1548 sumPt += track->Pt();
1549 cos2 += track->Pt()*TMath::Cos(2*PhaseShift(track->Phi()-psi2));
1550 sin2 += track->Pt()*TMath::Sin(2*PhaseShift(track->Phi()-psi2));
1551 cos3 += track->Pt()*TMath::Cos(3*PhaseShift(track->Phi()-psi3));
1552 sin3 += track->Pt()*TMath::Sin(3*PhaseShift(track->Phi()-psi3));
1554 fFitModulation->SetParameter(3, TMath::Sqrt(cos2*cos2+sin2*sin2)/fLocalRho->GetVal());
1555 fFitModulation->SetParameter(4, psi2);
1556 fFitModulation->SetParameter(6, psi3);
1557 fFitModulation->SetParameter(7, TMath::Sqrt(cos3*cos3+sin3*sin3)/fLocalRho->GetVal());
1562 // toy mc, just here to check procedure, azimuthal profile is filled from hypothesis so p-value distribution should be flat
1563 Int_t _bins = _tempSwap.GetXaxis()->GetNbins();
1564 TF1* _tempFit = new TF1("temp_fit_kCombined", "[0]*([1]+[2]*([3]*TMath::Cos([2]*(x-[4]))+[7]*TMath::Cos([5]*(x-[6]))))", 0, TMath::TwoPi());
1565 _tempFit->SetParameter(0, fFitModulation->GetParameter(0)); // normalization
1566 _tempFit->SetParameter(3, 0.1); // v2
1567 _tempFit->FixParameter(1, 1.); // constant
1568 _tempFit->FixParameter(2, 2.); // constant
1569 _tempFit->FixParameter(5, 3.); // constant
1570 _tempFit->FixParameter(4, fFitModulation->GetParameter(4));
1571 _tempFit->FixParameter(6, fFitModulation->GetParameter(6));
1572 _tempFit->SetParameter(7, 0.1); // v3
1573 _tempSwap.Reset(); // rese bin content
1574 for(int _binsI = 0; _binsI < _bins*_bins; _binsI++) _tempSwap.Fill(_tempFit->GetRandom());
1576 _tempSwap.Fit(fFitModulation, fFitModulationOptions.Data(), "", lowBound, upBound);
1577 // the quality of the fit is evaluated from 1 - the cdf of the chi square distribution
1578 // three methods are available, all with their drawbacks. all are stored, one is selected to do the cut
1579 Int_t NDF(_tempSwap.GetXaxis()->GetNbins()-freeParams);
1580 if(NDF == 0 || (float)NDF <= 0.) return kFALSE;
1581 Double_t CDF(1.-ChiSquareCDF(NDF, ChiSquare(_tempSwap, fFitModulation)));
1582 Double_t CDFROOT(1.-ChiSquareCDF(NDF, fFitModulation->GetChisquare()));
1583 Double_t CDFKolmogorov(KolmogorovTest(_tempSwap, fFitModulation));
1584 // fill the values and centrality correlation (redundant but easy on the eyes)
1585 fHistPvalueCDF->Fill(CDF);
1586 fHistPvalueCDFCent->Fill(fCent, CDF);
1587 fHistPvalueCDFROOT->Fill(CDFROOT);
1588 fHistPvalueCDFROOTCent->Fill(fCent, CDFROOT);
1589 fHistKolmogorovTest->Fill(CDFKolmogorov);
1590 fHistChi2ROOTCent->Fill(fCent, fFitModulation->GetChisquare()/((float)NDF));
1591 fHistChi2Cent->Fill(fCent, ChiSquare(_tempSwap, fFitModulation)/((float)NDF));
1592 fHistKolmogorovTestCent->Fill(fCent, CDFKolmogorov);
1593 fHistPChi2Root->Fill(CDFROOT, fFitModulation->GetChisquare()/((float)NDF));
1594 fHistPChi2->Fill(CDF, ChiSquare(_tempSwap, fFitModulation)/((float)NDF));
1595 fHistPKolmogorov->Fill(CDF, CDFKolmogorov);
1597 // variable CDF is used for making cuts, so we fill it with the selected p-value
1598 switch (fFitGoodnessTest) {
1602 case kChi2Poisson : break; // CDF is already CDF
1603 case kKolmogorov : {
1604 CDF = CDFKolmogorov;
1610 // as an additional quality check, see if fitting a control fit has a higher significance
1611 _tempSwap.Fit(fFitControl, fFitModulationOptions.Data(), "", lowBound, upBound);
1612 Double_t CDFControl(-1.);
1613 switch (fFitGoodnessTest) {
1615 CDFControl = 1.-ChiSquareCDF(fFitControl->GetNDF(), fFitModulation->GetChisquare());
1617 case kChi2Poisson : {
1618 CDFControl = 1.-ChiSquareCDF(fFitControl->GetNDF(), ChiSquare(_tempSwap, fFitModulation));
1620 case kKolmogorov : {
1621 CDFControl = KolmogorovTest(_tempSwap, fFitControl);
1625 if(CDFControl > CDF) {
1626 CDF = -1.; // control fit is more significant, so throw out the 'old' fit
1627 fHistRhoStatusCent->Fill(fCent, -1);
1630 if(CDF >= fMinPvalue && CDF <= fMaxPvalue && ( fFitModulation->GetMinimum(0, TMath::TwoPi()) > 0)) {
1631 // fit quality. not that although with limited acceptance the fit is performed on just
1632 // part of phase space, the requirement that energy desntiy is larger than zero is applied
1633 // to the FULL spectrum
1634 fHistRhoStatusCent->Fill(fCent, 0.);
1635 // for LOCAL didactic purposes, save the best and the worst fits
1636 // this routine can produce a lot of output histograms (it's not memory 'safe') and will not work on GRID
1637 // since the output will become unmergeable (i.e. different nodes may produce conflicting output)
1638 switch (fRunModeType) {
1640 if(fRandom->Uniform(0, 100) > fPercentageOfFits) break;
1641 static Int_t didacticCounterBest(0);
1642 TProfile* didacticProfile = (TProfile*)_tempSwap.Clone(Form("Fit_%i_1-CDF_%.3f_cen_%i_%s", didacticCounterBest, CDF, fInCentralitySelection, detector.Data()));
1643 TF1* didacticFit = (TF1*)fFitModulation->Clone(Form("fit_%i_CDF_%.3f_cen_%i_%s", didacticCounterBest, CDF, fInCentralitySelection, detector.Data()));
1644 switch(fFitModulationType) {
1646 // to make a nice picture also plot the separate components (v2 and v3) of the fit
1647 // only done for cobined fit where there are actually components to split ...
1648 TF1* v0(new TF1("dfit_kV2", "[0]", 0, TMath::TwoPi()));
1649 v0->SetParameter(0, didacticFit->GetParameter(0)); // normalization
1650 v0->SetLineColor(kMagenta);
1651 v0->SetLineStyle(7);
1652 didacticProfile->GetListOfFunctions()->Add(v0);
1653 TF1* v2(new TF1("dfit_kV2", "[0]*([1]+[2]*[3]*TMath::Cos([2]*(x-[4])))", 0, TMath::TwoPi()));
1654 v2->SetParameter(0, didacticFit->GetParameter(0)); // normalization
1655 v2->SetParameter(3, didacticFit->GetParameter(3)); // v2
1656 v2->FixParameter(1, 1.); // constant
1657 v2->FixParameter(2, 2.); // constant
1658 v2->FixParameter(4, didacticFit->GetParameter(4)); // psi2
1659 v2->SetLineColor(kGreen);
1660 didacticProfile->GetListOfFunctions()->Add(v2);
1661 TF1* v3(new TF1("dfit_kV3", "[0]*([1]+[2]*[3]*TMath::Cos([5]*(x-[4])))", 0, TMath::TwoPi()));
1662 v3->SetParameter(0, didacticFit->GetParameter(0)); // normalization
1663 v3->SetParameter(3, didacticFit->GetParameter(7)); // v3
1664 v3->FixParameter(1, 1.); // constant
1665 v3->FixParameter(2, 2.); // constant
1666 v3->FixParameter(4, didacticFit->GetParameter(6)); // psi3
1667 v3->FixParameter(5, 3.); // constant
1668 v3->SetLineColor(kCyan);
1669 didacticProfile->GetListOfFunctions()->Add(v3);
1673 didacticProfile->GetListOfFunctions()->Add(didacticFit);
1674 didacticProfile->GetYaxis()->SetTitle("#frac{d #sum #it{p}_{T}}{d #varphi} [GeV/#it{c}]");
1675 didacticProfile->GetXaxis()->SetTitle("#varphi");
1676 fOutputListGood->Add(didacticProfile);
1677 didacticCounterBest++;
1678 TH2F* didacticSurface = BookTH2F(Form("surface_%s", didacticProfile->GetName()), "#phi", "#eta", 50, 0, TMath::TwoPi(), 50, -1, 1, -1, kFALSE);
1679 for(Int_t i(0); i < iTracks; i++) {
1680 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1681 if(PassesCuts(track)) {
1682 if(fUsePtWeight) didacticSurface->Fill(track->Phi(), track->Eta(), track->Pt());
1683 else didacticSurface->Fill(track->Phi(), track->Eta());
1686 if(fExcludeLeadingJetsFromFit) { // visualize the excluded region
1687 TF2 *f2 = new TF2(Form("%s_LJ", didacticSurface->GetName()),"[0]*TMath::Gaus(x,[1],[2])*TMath::Gaus(y,[3],[4])", 0, TMath::TwoPi(), -1, 1);
1688 f2->SetParameters(excludeInPt/3.,excludeInPhi,.1,excludeInEta,.1);
1689 didacticSurface->GetListOfFunctions()->Add(f2);
1691 fOutputListGood->Add(didacticSurface);
1695 } else { // if the fit is of poor quality revert to the original rho estimate
1696 switch (fRunModeType) { // again see if we want to save the fit
1698 static Int_t didacticCounterWorst(0);
1699 if(fRandom->Uniform(0, 100) > fPercentageOfFits) break;
1700 TProfile* didacticProfile = (TProfile*)_tempSwap.Clone(Form("Fit_%i_1-CDF_%.3f_cen_%i_%s", didacticCounterWorst, CDF, fInCentralitySelection, detector.Data() ));
1701 TF1* didacticFit = (TF1*)fFitModulation->Clone(Form("fit_%i_p_%.3f_cen_%i_%s", didacticCounterWorst, CDF, fInCentralitySelection, detector.Data()));
1702 didacticProfile->GetListOfFunctions()->Add(didacticFit);
1703 fOutputListBad->Add(didacticProfile);
1704 didacticCounterWorst++;
1708 switch (fFitModulationType) {
1709 case kNoFit : break; // nothing to do
1710 case kCombined : fFitModulation->SetParameter(7, 0); // no break
1711 case kFourierSeries : fFitModulation->SetParameter(7, 0); // no break
1712 default : { // needs to be done if there was a poor fit
1713 fFitModulation->SetParameter(3, 0);
1714 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1717 if(CDF > -.5) fHistRhoStatusCent->Fill(fCent, 1.);
1718 return kFALSE; // return false if the fit is rejected
1722 //_____________________________________________________________________________
1723 Bool_t AliAnalysisTaskJetV2::PassesCuts(AliVEvent* event)
1726 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1727 switch (fCollisionType) {
1729 fInCentralitySelection = 0;
1734 if(!event || !AliAnalysisTaskEmcal::IsEventSelected()) return kFALSE;
1735 if(TMath::Abs(InputEvent()->GetPrimaryVertex()->GetZ()) > 10.) return kFALSE;
1736 // aod and esd specific checks
1737 switch (fDataType) {
1739 AliESDEvent* esdEvent = static_cast<AliESDEvent*>(InputEvent());
1740 if( (!esdEvent) || (TMath::Abs(esdEvent->GetPrimaryVertexSPD()->GetZ() - esdEvent->GetPrimaryVertex()->GetZ()) > .5) ) return kFALSE;
1743 AliAODEvent* aodEvent = static_cast<AliAODEvent*>(InputEvent());
1744 if( (!aodEvent) || (TMath::Abs(aodEvent->GetPrimaryVertexSPD()->GetZ() - aodEvent->GetPrimaryVertex()->GetZ()) > .5) ) return kFALSE;
1748 fCent = InputEvent()->GetCentrality()->GetCentralityPercentile("V0M");
1749 if(fCent <= fCentralityClasses->At(0) || fCent >= fCentralityClasses->At(fCentralityClasses->GetSize()-1) || TMath::Abs(fCent-InputEvent()->GetCentrality()->GetCentralityPercentile("TRK")) > 5.) return kFALSE;
1750 // determine centrality class
1751 fInCentralitySelection = -1;
1752 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) {
1753 if(fCent >= fCentralityClasses->At(i) && fCent <= fCentralityClasses->At(1+i)) {
1754 fInCentralitySelection = i;
1758 if(fInCentralitySelection<0) return kFALSE; // should be null op
1759 // see if input containers are filled
1760 if(fTracks->GetEntries() < 1) return kFALSE;
1761 if(fRho->GetVal() <= 0 ) return kFALSE;
1762 if(fAnalysisType == AliAnalysisTaskJetV2::kFull && !fClusterCont) return kFALSE;
1765 //_____________________________________________________________________________
1766 void AliAnalysisTaskJetV2::FillHistogramsAfterSubtraction(Double_t psi2, Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc)
1769 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1770 if(fEventPlaneWeights) {
1771 FillWeightedTrackHistograms();
1772 if(fAnalysisType == AliAnalysisTaskJetV2::kFull) FillWeightedClusterHistograms();
1773 FillWeightedJetHistograms(psi2);
1774 if(fFillQAHistograms) FillWeightedEventPlaneHistograms(vzero, vzeroComb, tpc);
1775 FillWeightedRhoHistograms();
1776 FillWeightedDeltaPtHistograms(psi2);
1778 FillTrackHistograms();
1779 if(fAnalysisType == AliAnalysisTaskJetV2::kFull) FillClusterHistograms();
1780 FillJetHistograms(psi2);
1781 if(fFillQAHistograms) FillEventPlaneHistograms(vzero, vzeroComb, tpc);
1782 FillRhoHistograms();
1783 FillDeltaPtHistograms(psi2);
1786 //_____________________________________________________________________________
1787 void AliAnalysisTaskJetV2::FillTrackHistograms() const
1789 // fill track histograms
1790 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1791 Int_t iTracks(fTracks->GetEntriesFast()), iAcceptedTracks(0);
1792 for(Int_t i(0); i < iTracks; i++) {
1793 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1794 if(!PassesCuts(track)) continue;
1796 fHistPicoTrackPt[fInCentralitySelection]->Fill(track->Pt());
1797 if(fFillQAHistograms) FillQAHistograms(track);
1799 fHistPicoTrackMult[fInCentralitySelection]->Fill(iAcceptedTracks);
1801 //_____________________________________________________________________________
1802 void AliAnalysisTaskJetV2::FillClusterHistograms() const
1804 // fill cluster histograms
1805 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1806 if(!fClusterCont) return;
1807 Int_t iClusters(fClusterCont->GetNClusters());
1808 TLorentzVector clusterLorentzVector;
1809 for(Int_t i(0); i < iClusters; i++) {
1810 AliVCluster* cluster = fClusterCont->GetCluster(i);
1811 if (!PassesCuts(cluster)) continue;
1812 cluster->GetMomentum(clusterLorentzVector, const_cast<Double_t*>(fVertex));
1813 fHistClusterPt[fInCentralitySelection]->Fill(clusterLorentzVector.Pt());
1814 fHistClusterEtaPhi[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi());
1815 fHistClusterEtaPhiWeighted[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi(), clusterLorentzVector.Pt());
1819 //_____________________________________________________________________________
1820 void AliAnalysisTaskJetV2::FillEventPlaneHistograms(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) const
1822 // fill event plane histograms, only called in qa mode
1823 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1824 fHistPsiControl->Fill(0.5, vzero[0][0]); // vzero a psi2
1825 fHistPsiControl->Fill(1.5, vzero[1][0]); // vzero c psi2
1826 fHistPsiControl->Fill(2.5, tpc[0]); // tpc psi 2
1827 fHistPsiControl->Fill(5.5, vzero[0][1]); // vzero a psi3
1828 fHistPsiControl->Fill(6.5, vzero[1][1]); // vzero b psi3
1829 fHistPsiControl->Fill(7.5, tpc[1]); // tpc psi 3
1830 fHistPsiVZEROA->Fill(vzero[0][0]);
1831 fHistPsiVZEROC->Fill(vzero[1][0]);
1832 fHistPsiVZERO->Fill(vzeroComb[0]);
1833 fHistPsiTPC->Fill(tpc[0]);
1834 fHistPsiSpread->Fill(0.5, TMath::Abs(vzero[0][0]-vzero[1][0]));
1835 fHistPsiSpread->Fill(1.5, TMath::Abs(vzero[0][0]-tpc[0]));
1836 fHistPsiSpread->Fill(2.5, TMath::Abs(vzero[1][0]-tpc[0]));
1837 // event plane vs centrality QA histo's to check recentering
1838 Double_t TRK(InputEvent()->GetCentrality()->GetCentralityPercentile("TRK"));
1839 Double_t V0M(InputEvent()->GetCentrality()->GetCentralityPercentile("V0M"));
1840 fHistPsiVZEROAV0M->Fill(V0M, vzero[0][0]);
1841 fHistPsiVZEROCV0M->Fill(V0M, vzero[1][0]);
1842 fHistPsiVZEROVV0M->Fill(V0M, vzeroComb[0]);
1843 fHistPsiTPCV0M->Fill(V0M, tpc[0]);
1844 fHistPsiVZEROATRK->Fill(TRK, vzero[0][0]);
1845 fHistPsiVZEROCTRK->Fill(TRK, vzero[1][0]);
1846 fHistPsiVZEROTRK->Fill(TRK, vzeroComb[0]);
1847 fHistPsiTPCTRK->Fill(TRK, tpc[0]);
1848 // leading jet vs event plane bias
1850 Double_t rho(fLocalRho->GetLocalVal(fLeadingJet->Phi(), GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
1851 Double_t pt(fLeadingJet->Pt() - fLeadingJet->Area()*rho);
1852 fHistPsiTPCLeadingJet[fInCentralitySelection]->Fill(pt, tpc[0], fLeadingJet->Phi());
1853 fHistPsiVZEROALeadingJet[fInCentralitySelection]->Fill(pt, vzero[0][0], fLeadingJet->Phi());
1854 fHistPsiVZEROCLeadingJet[fInCentralitySelection]->Fill(pt, vzero[1][0], fLeadingJet->Phi());
1855 fHistPsiVZEROCombLeadingJet[fInCentralitySelection]->Fill(pt, vzeroComb[0], fLeadingJet->Phi());
1857 // correlation of event planes
1858 fHistPsi2Correlation[fInCentralitySelection]->Fill(tpc[0], vzero[0][0], vzero[1][0]);
1860 //_____________________________________________________________________________
1861 void AliAnalysisTaskJetV2::FillRhoHistograms()
1863 // fill rho histograms
1864 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1865 fHistRhoPackage[fInCentralitySelection]->Fill(fLocalRho->GetVal()); // save the rho estimate from the emcal jet package
1866 // get multiplicity FIXME inefficient
1867 Int_t iJets(fJets->GetEntriesFast());
1868 Double_t rho(fLocalRho->GetLocalVal(TMath::Pi(), TMath::Pi(), fLocalRho->GetVal()));
1869 fHistRho[fInCentralitySelection]->Fill(rho);
1870 fHistRhoVsMult->Fill(fTracks->GetEntries(), rho);
1871 fHistRhoVsCent->Fill(fCent, rho);
1872 for(Int_t i(0); i < iJets; i++) {
1873 AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
1874 if(!PassesCuts(jet)) continue;
1875 fHistRhoAVsMult->Fill(fTracks->GetEntries(), rho * jet->Area());
1876 fHistRhoAVsCent->Fill(fCent, rho * jet->Area());
1879 //_____________________________________________________________________________
1880 void AliAnalysisTaskJetV2::FillDeltaPtHistograms(Double_t psi2) const
1882 // fill delta pt histograms
1883 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1885 const Float_t areaRC = GetJetRadius()*GetJetRadius()*TMath::Pi();
1886 // we're retrieved the leading jet, now get a random cone
1887 for(i = 0; i < fMaxCones; i++) {
1888 Float_t pt(0), eta(0), phi(0);
1889 // get a random cone without constraints on leading jet position
1890 CalculateRandomCone(pt, eta, phi, fTracksCont, fClusterCont, 0x0);
1892 if(fFillQAHistograms) fHistRCPhiEta[fInCentralitySelection]->Fill(phi, eta);
1893 fHistRhoVsRCPt[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC);
1894 fHistRCPt[fInCentralitySelection]->Fill(pt);
1895 fHistDeltaPtDeltaPhi2[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
1896 fHistDeltaPtDeltaPhi2Rho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetVal());
1899 // get a random cone excluding leading jet area
1900 CalculateRandomCone(pt, eta, phi, fTracksCont, fClusterCont, fLeadingJet);
1902 if(fFillQAHistograms) fHistRCPhiEtaExLJ[fInCentralitySelection]->Fill(phi, eta);
1903 fHistRhoVsRCPtExLJ[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC);
1904 fHistRCPtExLJ[fInCentralitySelection]->Fill(pt);
1905 fHistDeltaPtDeltaPhi2ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
1906 fHistDeltaPtDeltaPhi2ExLJRho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetVal());
1910 //_____________________________________________________________________________
1911 void AliAnalysisTaskJetV2::FillJetHistograms(Double_t psi2)
1913 // fill jet histograms
1914 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1915 Int_t iJets(fJets->GetEntriesFast());
1916 for(Int_t i(0); i < iJets; i++) {
1917 AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
1918 if(PassesCuts(jet)) {
1919 Double_t pt(jet->Pt()), area(jet->Area()), eta(jet->Eta()), phi(jet->Phi());
1920 Double_t rho(fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
1921 fHistJetPtRaw[fInCentralitySelection]->Fill(pt);
1922 fHistJetPt[fInCentralitySelection]->Fill(pt-area*rho);
1923 if(fFillQAHistograms) fHistJetEtaPhi[fInCentralitySelection]->Fill(eta, phi);
1924 fHistJetPtArea[fInCentralitySelection]->Fill(pt-area*rho, area);
1925 fHistJetPtEta[fInCentralitySelection]->Fill(pt-area*rho, eta);
1926 fHistJetPsi2Pt[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt-area*rho);
1927 fHistJetPsi2PtRho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt-area*fLocalRho->GetVal());
1928 fHistJetPtConstituents[fInCentralitySelection]->Fill(pt-area*rho, jet->GetNumberOfConstituents());
1929 fHistJetEtaRho[fInCentralitySelection]->Fill(eta, pt/area);
1933 //_____________________________________________________________________________
1934 void AliAnalysisTaskJetV2::FillQAHistograms(AliVTrack* vtrack) const
1936 // fill qa histograms for pico tracks
1937 if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1939 AliPicoTrack* track = static_cast<AliPicoTrack*>(vtrack);
1940 fHistRunnumbersPhi->Fill(fMappedRunNumber, track->Phi());
1941 fHistRunnumbersEta->Fill(fMappedRunNumber, track->Eta());
1942 Int_t type((int)(track->GetTrackType()));
1945 fHistPicoCat1[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
1948 fHistPicoCat2[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
1951 fHistPicoCat3[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
1956 //_____________________________________________________________________________
1957 void AliAnalysisTaskJetV2::FillQAHistograms(AliVEvent* vevent)
1959 // fill qa histograms for events
1960 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1962 fHistVertexz->Fill(vevent->GetPrimaryVertex()->GetZ());
1963 fHistCentrality->Fill(fCent);
1964 Int_t runNumber(InputEvent()->GetRunNumber());
1965 if(fLeadingJet && fLeadingJetAfterSub) fHistLeadingJetBackground[fInCentralitySelection]->Fill(TMath::Abs(fLeadingJet->Eta()-fLeadingJetAfterSub->Eta()), PhaseShift(fLeadingJet->Phi()-fLeadingJetAfterSub->Phi()));
1966 for(fMappedRunNumber = 0; fMappedRunNumber < fExpectedRuns->GetSize(); fMappedRunNumber++) {
1967 if(fExpectedRuns->At(fMappedRunNumber) == runNumber) return;
1969 if(fDebug > 0) printf("\n > TASK %s CANNOT IDENTIFY RUN - CONFIGURATION COULD BE INCORRECT < \n", GetName());
1971 //_____________________________________________________________________________
1972 void AliAnalysisTaskJetV2::FillWeightedTrackHistograms() const
1974 // fill track histograms
1975 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1976 Int_t iTracks(fTracks->GetEntriesFast()), iAcceptedTracks(0);
1977 for(Int_t i(0); i < iTracks; i++) {
1978 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1979 if(!PassesCuts(track)) continue;
1981 fHistPicoTrackPt[fInCentralitySelection]->Fill(track->Pt(), fEventPlaneWeight);
1982 if(fFillQAHistograms) FillQAHistograms(track);
1984 fHistPicoTrackMult[fInCentralitySelection]->Fill(iAcceptedTracks, fEventPlaneWeight);
1986 //_____________________________________________________________________________
1987 void AliAnalysisTaskJetV2::FillWeightedClusterHistograms() const
1989 // fill cluster histograms
1990 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1991 if(!fClusterCont) return;
1992 Int_t iClusters(fClusterCont->GetNClusters());
1993 TLorentzVector clusterLorentzVector;
1994 for(Int_t i(0); i < iClusters; i++) {
1995 AliVCluster* cluster = fClusterCont->GetCluster(i);
1996 if (!PassesCuts(cluster)) continue;
1997 cluster->GetMomentum(clusterLorentzVector, const_cast<Double_t*>(fVertex));
1998 fHistClusterPt[fInCentralitySelection]->Fill(clusterLorentzVector.Pt(), fEventPlaneWeight);
1999 fHistClusterEtaPhi[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi(), fEventPlaneWeight);
2000 fHistClusterEtaPhiWeighted[fInCentralitySelection]->Fill(clusterLorentzVector.Eta(), clusterLorentzVector.Phi(), clusterLorentzVector.Pt()*fEventPlaneWeight);
2004 //_____________________________________________________________________________
2005 void AliAnalysisTaskJetV2::FillWeightedEventPlaneHistograms(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) const
2007 // fill event plane histograms, only called in qa mode
2008 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2009 fHistPsiControl->Fill(0.5, vzero[0][0], fEventPlaneWeight); // vzero a psi2
2010 fHistPsiControl->Fill(1.5, vzero[1][0], fEventPlaneWeight); // vzero c psi2
2011 fHistPsiControl->Fill(2.5, tpc[0], fEventPlaneWeight); // tpc psi 2
2012 fHistPsiControl->Fill(5.5, vzero[0][1], fEventPlaneWeight); // vzero a psi3
2013 fHistPsiControl->Fill(6.5, vzero[1][1], fEventPlaneWeight); // vzero b psi3
2014 fHistPsiControl->Fill(7.5, tpc[1], fEventPlaneWeight); // tpc psi 3
2015 fHistPsiVZEROA->Fill(vzero[0][0], fEventPlaneWeight);
2016 fHistPsiVZEROC->Fill(vzero[1][0], fEventPlaneWeight);
2017 fHistPsiVZERO->Fill(vzeroComb[0], fEventPlaneWeight);
2018 fHistPsiTPC->Fill(tpc[0], fEventPlaneWeight);
2019 fHistPsiSpread->Fill(0.5, TMath::Abs(vzero[0][0]-vzero[1][0]), fEventPlaneWeight);
2020 fHistPsiSpread->Fill(1.5, TMath::Abs(vzero[0][0]-tpc[0]), fEventPlaneWeight);
2021 fHistPsiSpread->Fill(2.5, TMath::Abs(vzero[1][0]-tpc[0]), fEventPlaneWeight);
2022 // event plane vs centrality QA histo's to check recentering
2023 Double_t TRK(InputEvent()->GetCentrality()->GetCentralityPercentile("TRK"));
2024 Double_t V0M(InputEvent()->GetCentrality()->GetCentralityPercentile("V0M"));
2025 fHistPsiVZEROAV0M->Fill(V0M, vzero[0][0], fEventPlaneWeight);
2026 fHistPsiVZEROCV0M->Fill(V0M, vzero[1][0], fEventPlaneWeight);
2027 fHistPsiVZEROVV0M->Fill(V0M, vzeroComb[0], fEventPlaneWeight);
2028 fHistPsiTPCV0M->Fill(V0M, tpc[0], fEventPlaneWeight);
2029 fHistPsiVZEROATRK->Fill(TRK, vzero[0][0], fEventPlaneWeight);
2030 fHistPsiVZEROCTRK->Fill(TRK, vzero[1][0], fEventPlaneWeight);
2031 fHistPsiVZEROTRK->Fill(TRK, vzeroComb[0], fEventPlaneWeight);
2032 fHistPsiTPCTRK->Fill(TRK, tpc[0], fEventPlaneWeight);
2033 // leading jet vs event plane bias
2035 Double_t rho(fLocalRho->GetLocalVal(fLeadingJet->Phi(), GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
2036 Double_t pt(fLeadingJet->Pt() - fLeadingJet->Area()*rho);
2037 fHistPsiTPCLeadingJet[fInCentralitySelection]->Fill(pt, tpc[0], fLeadingJet->Phi(), fEventPlaneWeight);
2038 fHistPsiVZEROALeadingJet[fInCentralitySelection]->Fill(pt, vzero[0][0], fLeadingJet->Phi(), fEventPlaneWeight);
2039 fHistPsiVZEROCLeadingJet[fInCentralitySelection]->Fill(pt, vzero[1][0], fLeadingJet->Phi(), fEventPlaneWeight);
2040 fHistPsiVZEROCombLeadingJet[fInCentralitySelection]->Fill(pt, vzeroComb[0], fLeadingJet->Phi(), fEventPlaneWeight);
2042 // correlation of event planes
2043 fHistPsi2Correlation[fInCentralitySelection]->Fill(tpc[0], vzero[0][0], vzero[1][0], fEventPlaneWeight);
2045 //_____________________________________________________________________________
2046 void AliAnalysisTaskJetV2::FillWeightedRhoHistograms()
2048 // fill rho histograms
2049 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2050 fHistRhoPackage[fInCentralitySelection]->Fill(fLocalRho->GetVal(), fEventPlaneWeight); // save the rho estimate from the emcal jet package
2051 // get multiplicity FIXME inefficient
2052 Int_t iJets(fJets->GetEntriesFast());
2053 Double_t rho(fLocalRho->GetLocalVal(TMath::Pi(), TMath::Pi(), fLocalRho->GetVal()));
2054 fHistRho[fInCentralitySelection]->Fill(rho, fEventPlaneWeight);
2055 fHistRhoVsMult->Fill(fTracks->GetEntries(), rho, fEventPlaneWeight);
2056 fHistRhoVsCent->Fill(fCent, rho, fEventPlaneWeight);
2057 for(Int_t i(0); i < iJets; i++) {
2058 AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
2059 if(!PassesCuts(jet)) continue;
2060 fHistRhoAVsMult->Fill(fTracks->GetEntries(), rho * jet->Area(), fEventPlaneWeight);
2061 fHistRhoAVsCent->Fill(fCent, rho * jet->Area(), fEventPlaneWeight);
2064 //_____________________________________________________________________________
2065 void AliAnalysisTaskJetV2::FillWeightedDeltaPtHistograms(Double_t psi2) const
2067 // fill delta pt histograms
2068 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2070 const Float_t areaRC = GetJetRadius()*GetJetRadius()*TMath::Pi();
2071 // we're retrieved the leading jet, now get a random cone
2072 for(i = 0; i < fMaxCones; i++) {
2073 Float_t pt(0), eta(0), phi(0);
2074 // get a random cone without constraints on leading jet position
2075 CalculateRandomCone(pt, eta, phi, fTracksCont, fClusterCont, 0x0);
2077 if(fFillQAHistograms) fHistRCPhiEta[fInCentralitySelection]->Fill(phi, eta, fEventPlaneWeight);
2078 fHistRhoVsRCPt[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC, fEventPlaneWeight);
2079 fHistRCPt[fInCentralitySelection]->Fill(pt, fEventPlaneWeight);
2080 fHistDeltaPtDeltaPhi2[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()), fEventPlaneWeight);
2081 fHistDeltaPtDeltaPhi2Rho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetVal(), fEventPlaneWeight);
2084 // get a random cone excluding leading jet area
2085 CalculateRandomCone(pt, eta, phi, fTracksCont, fClusterCont, fLeadingJet);
2087 if(fFillQAHistograms) fHistRCPhiEtaExLJ[fInCentralitySelection]->Fill(phi, eta, fEventPlaneWeight);
2088 fHistRhoVsRCPtExLJ[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC, fEventPlaneWeight);
2089 fHistRCPtExLJ[fInCentralitySelection]->Fill(pt, fEventPlaneWeight);
2090 fHistDeltaPtDeltaPhi2ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()), fEventPlaneWeight);
2091 fHistDeltaPtDeltaPhi2ExLJRho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetVal(), fEventPlaneWeight);
2095 //_____________________________________________________________________________
2096 void AliAnalysisTaskJetV2::FillWeightedJetHistograms(Double_t psi2)
2098 // fill jet histograms
2099 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2100 Int_t iJets(fJets->GetEntriesFast());
2101 for(Int_t i(0); i < iJets; i++) {
2102 AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
2103 if(PassesCuts(jet)) {
2104 Double_t pt(jet->Pt()), area(jet->Area()), eta(jet->Eta()), phi(jet->Phi());
2105 Double_t rho(fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
2106 fHistJetPtRaw[fInCentralitySelection]->Fill(pt, fEventPlaneWeight);
2107 fHistJetPt[fInCentralitySelection]->Fill(pt-area*rho, fEventPlaneWeight);
2108 if(fFillQAHistograms) fHistJetEtaPhi[fInCentralitySelection]->Fill(eta, phi, fEventPlaneWeight);
2109 fHistJetPtArea[fInCentralitySelection]->Fill(pt-area*rho, area, fEventPlaneWeight);
2110 fHistJetPtEta[fInCentralitySelection]->Fill(pt-area*rho, eta, fEventPlaneWeight);
2111 fHistJetPsi2Pt[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt-area*rho, fEventPlaneWeight);
2112 fHistJetPsi2PtRho0[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt-area*fLocalRho->GetVal(), fEventPlaneWeight);
2113 fHistJetPtConstituents[fInCentralitySelection]->Fill(pt-area*rho, jet->GetNumberOfConstituents(), fEventPlaneWeight);
2114 fHistJetEtaRho[fInCentralitySelection]->Fill(eta, pt/area, fEventPlaneWeight);
2118 //_____________________________________________________________________________
2119 void AliAnalysisTaskJetV2::FillWeightedQAHistograms(AliVTrack* vtrack) const
2121 // fill qa histograms for pico tracks
2122 if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2124 AliPicoTrack* track = static_cast<AliPicoTrack*>(vtrack);
2125 fHistRunnumbersPhi->Fill(fMappedRunNumber, track->Phi(), fEventPlaneWeight);
2126 fHistRunnumbersEta->Fill(fMappedRunNumber, track->Eta(), fEventPlaneWeight);
2127 Int_t type((int)(track->GetTrackType()));
2130 fHistPicoCat1[fInCentralitySelection]->Fill(track->Eta(), track->Phi(), fEventPlaneWeight);
2133 fHistPicoCat2[fInCentralitySelection]->Fill(track->Eta(), track->Phi(), fEventPlaneWeight);
2136 fHistPicoCat3[fInCentralitySelection]->Fill(track->Eta(), track->Phi(), fEventPlaneWeight);
2141 //_____________________________________________________________________________
2142 void AliAnalysisTaskJetV2::FillWeightedQAHistograms(AliVEvent* vevent)
2144 // fill qa histograms for events
2145 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2147 fHistVertexz->Fill(vevent->GetPrimaryVertex()->GetZ());
2148 fHistCentrality->Fill(fCent);
2149 Int_t runNumber(InputEvent()->GetRunNumber());
2150 if(fLeadingJet && fLeadingJetAfterSub) fHistLeadingJetBackground[fInCentralitySelection]->Fill(TMath::Abs(fLeadingJet->Eta()-fLeadingJetAfterSub->Eta()), PhaseShift(fLeadingJet->Phi()-fLeadingJetAfterSub->Phi()), fEventPlaneWeight);
2151 for(fMappedRunNumber = 0; fMappedRunNumber < fExpectedRuns->GetSize(); fMappedRunNumber++) {
2152 if(fExpectedRuns->At(fMappedRunNumber) == runNumber) return;
2154 if(fDebug > 0) printf("\n > TASK %s CANNOT IDENTIFY RUN - CONFIGURATION COULD BE INCORRECT < \n", GetName());
2156 //_____________________________________________________________________________
2157 void AliAnalysisTaskJetV2::FillAnalysisSummaryHistogram() const
2159 // fill the analysis summary histrogram, saves all relevant analysis settigns
2160 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2161 fHistAnalysisSummary->GetXaxis()->SetBinLabel(2, "fJetRadius");
2162 fHistAnalysisSummary->SetBinContent(2, GetJetContainer()->GetJetRadius());
2163 fHistAnalysisSummary->GetXaxis()->SetBinLabel(3, "fJetEtaMin");
2164 fHistAnalysisSummary->SetBinContent(3, GetJetContainer()->GetJetEtaMin());
2165 fHistAnalysisSummary->GetXaxis()->SetBinLabel(4, "fJetEtaMax");
2166 fHistAnalysisSummary->SetBinContent(4, GetJetContainer()->GetJetEtaMax());
2167 fHistAnalysisSummary->GetXaxis()->SetBinLabel(5, "fJetPhiMin");
2168 fHistAnalysisSummary->SetBinContent(5, GetJetContainer()->GetJetPhiMin());
2169 fHistAnalysisSummary->GetXaxis()->SetBinLabel(6, "fJetPhiMax");
2170 fHistAnalysisSummary->SetBinContent(6, GetJetContainer()->GetJetPhiMin());
2171 fHistAnalysisSummary->GetXaxis()->SetBinLabel(16, "fForceBeamType");
2172 fHistAnalysisSummary->SetBinContent(16, fForceBeamType);
2173 fHistAnalysisSummary->GetXaxis()->SetBinLabel(17, "fMinCent");
2174 fHistAnalysisSummary->SetBinContent(17, fMinCent);
2175 fHistAnalysisSummary->GetXaxis()->SetBinLabel(18, "fMaxCent");
2176 fHistAnalysisSummary->SetBinContent(18, fMaxCent);
2177 fHistAnalysisSummary->GetXaxis()->SetBinLabel(19, "fMinVz");
2178 fHistAnalysisSummary->SetBinContent(19, fMinVz);
2179 fHistAnalysisSummary->GetXaxis()->SetBinLabel(20, "fMaxVz");
2180 fHistAnalysisSummary->SetBinContent(20, fMaxVz);
2181 fHistAnalysisSummary->GetXaxis()->SetBinLabel(21, "fOffTrigger");
2182 fHistAnalysisSummary->SetBinContent(21, fOffTrigger);
2183 fHistAnalysisSummary->GetXaxis()->SetBinLabel(34, "fitModulationType");
2184 fHistAnalysisSummary->SetBinContent(34, (int)fFitModulationType);
2185 fHistAnalysisSummary->GetXaxis()->SetBinLabel(35, "runModeType");
2186 fHistAnalysisSummary->SetBinContent(35, (int)fRunModeType);
2187 fHistAnalysisSummary->GetXaxis()->SetBinLabel(36, "data type");
2188 fHistAnalysisSummary->SetBinContent(36, (int)fDataType);
2189 fHistAnalysisSummary->GetXaxis()->SetBinLabel(37, "iterator");
2190 fHistAnalysisSummary->SetBinContent(37, 1.);
2191 fHistAnalysisSummary->GetXaxis()->SetBinLabel(38, "fMinPvalue");
2192 fHistAnalysisSummary->SetBinContent(38, fMinPvalue);
2193 fHistAnalysisSummary->GetXaxis()->SetBinLabel(39, "fMaxPvalue");
2194 fHistAnalysisSummary->SetBinContent(39, fMaxPvalue);
2195 fHistAnalysisSummary->GetXaxis()->SetBinLabel(40, "fExcludeLeadingJetsFromFit");
2196 fHistAnalysisSummary->SetBinContent(40, fExcludeLeadingJetsFromFit);
2197 fHistAnalysisSummary->GetXaxis()->SetBinLabel(41, "fRebinSwapHistoOnTheFly");
2198 fHistAnalysisSummary->SetBinContent(41, (int)fRebinSwapHistoOnTheFly);
2199 fHistAnalysisSummary->GetXaxis()->SetBinLabel(42, "fUsePtWeight");
2200 fHistAnalysisSummary->SetBinContent(42, (int)fUsePtWeight);
2201 fHistAnalysisSummary->GetXaxis()->SetBinLabel(44, "fSoftTrackMinPt");
2202 fHistAnalysisSummary->SetBinContent(44, fSoftTrackMinPt);
2203 fHistAnalysisSummary->GetXaxis()->SetBinLabel(45, "fSoftTrackMaxPt");
2204 fHistAnalysisSummary->SetBinContent(45, fSoftTrackMaxPt);
2205 fHistAnalysisSummary->GetXaxis()->SetBinLabel(46, "fMaxCones");
2206 fHistAnalysisSummary->SetBinContent(46, fMaxCones);
2207 fHistAnalysisSummary->GetXaxis()->SetBinLabel(47, "used rho");
2208 fHistAnalysisSummary->GetXaxis()->SetBinLabel(48, "used small rho");
2210 //_____________________________________________________________________________
2211 void AliAnalysisTaskJetV2::Terminate(Option_t *)
2214 switch (fRunModeType) {
2216 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2217 AliAnalysisTaskJetV2::Dump();
2218 for(Int_t i(0); i < fHistAnalysisSummary->GetXaxis()->GetNbins(); i++) printf( " > flag: %s \t content %.2f \n", fHistAnalysisSummary->GetXaxis()->GetBinLabel(1+i), fHistAnalysisSummary->GetBinContent(1+i));
2223 //_____________________________________________________________________________
2224 void AliAnalysisTaskJetV2::SetModulationFit(TF1* fit)
2226 // set modulation fit
2227 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2228 if (fFitModulation) delete fFitModulation;
2229 fFitModulation = fit;
2231 //_____________________________________________________________________________
2232 void AliAnalysisTaskJetV2::SetUseControlFit(Bool_t c)
2235 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2236 if (fFitControl) delete fFitControl;
2238 fFitControl = new TF1("controlFit", "pol0", 0, TMath::TwoPi());
2239 } else fFitControl = 0x0;
2241 //_____________________________________________________________________________
2242 TH1F* AliAnalysisTaskJetV2::GetResolutionFromOuptutFile(detectorType det, Int_t h, TArrayD* cen)
2244 // INTERFACE METHOD FOR OUTPUTFILE
2245 // get the detector resolution, user has ownership of the returned histogram
2246 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2248 printf(" > Please add fOutputList first < \n");
2252 (cen) ? r = new TH1F("R", "R", cen->GetSize()-1, cen->GetArray()) : r = new TH1F("R", "R", 10, 0, 10);
2253 if(!cen) r->GetXaxis()->SetTitle("number of centrality bin");
2254 r->GetYaxis()->SetTitle(Form("Resolution #Psi_{%i}", h));
2255 for(Int_t i(0); i < 10; i++) {
2256 TProfile* temp((TProfile*)fOutputList->FindObject(Form("fProfV%iResolution_%i", h, i)));
2258 Double_t a(temp->GetBinContent(3)), b(temp->GetBinContent(5)), c(temp->GetBinContent(7));
2259 Double_t d(temp->GetBinContent(9)), e(temp->GetBinContent(10)), f(temp->GetBinContent(11));
2260 Double_t _a(temp->GetBinError(3)), _b(temp->GetBinError(5)), _c(temp->GetBinError(7));
2261 Double_t _d(temp->GetBinError(9)), _e(temp->GetBinError(10)), _f(temp->GetBinError(11));
2262 if(a <= 0 || b <= 0 || c <= 0 || d <= 0 || e <= 0 || f <= 0) continue;
2265 r->SetBinContent(1+i, TMath::Sqrt((a*b)/c));
2266 if(i==0) r->SetNameTitle("VZEROA resolution", "VZEROA resolution");
2267 r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c));
2270 r->SetBinContent(1+i, TMath::Sqrt((a*c)/b));
2271 if(i==0) r->SetNameTitle("VZEROC resolution", "VZEROC resolution");
2272 r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c));
2275 r->SetBinContent(1+i, TMath::Sqrt((b*c)/a));
2276 if(i==0) r->SetNameTitle("TPC resolution", "TPC resolution");
2277 r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c));
2280 r->SetBinContent(1+i, TMath::Sqrt((d*e)/f));
2281 if(i==0) r->SetNameTitle("VZEROComb resolution", "VZEROComb resolution");
2282 r->SetBinError(1+i, TMath::Sqrt(_d*_d+_e*_e+_f*_f));
2289 //_____________________________________________________________________________
2290 TH1F* AliAnalysisTaskJetV2::CorrectForResolutionDiff(TH1F* v, detectorType det, TArrayD* cen, Int_t c, Int_t h)
2292 // INTERFACE METHOD FOR OUTPUT FILE
2293 // correct the supplied differential vn histogram v for detector resolution
2294 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2295 TH1F* r(GetResolutionFromOuptutFile(det, h, cen));
2297 printf(" > Couldn't find resolution < \n");
2300 Double_t res(1./r->GetBinContent(1+r->FindBin(c)));
2301 TF1* line = new TF1("line", "pol0", 0, 200);
2302 line->SetParameter(0, res);
2306 //_____________________________________________________________________________
2307 TH1F* AliAnalysisTaskJetV2::CorrectForResolutionInt(TH1F* v, detectorType det, TArrayD* cen, Int_t h)
2309 // INTERFACE METHOD FOR OUTPUT FILE
2310 // correct the supplied intetrated vn histogram v for detector resolution
2311 // integrated vn must have the same centrality binning as the resolotion correction
2312 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2313 TH1F* r(GetResolutionFromOuptutFile(det, h, cen));
2317 //_____________________________________________________________________________
2318 TH1F* AliAnalysisTaskJetV2::GetDifferentialQC(TProfile* refCumulants, TProfile* diffCumlants, TArrayD* ptBins, Int_t h)
2320 // get differential QC
2321 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2322 Double_t r(refCumulants->GetBinContent(h-1)); // v2 reference flow
2323 if(r > 0) r = TMath::Sqrt(r);
2324 TH1F* qc = new TH1F(Form("QC2v%i", h), Form("QC2v%i", h), ptBins->GetSize()-1, ptBins->GetArray());
2325 Double_t a(0), b(0), c(0); // dummy variables
2326 for(Int_t i(0); i < ptBins->GetSize(); i++) {
2328 a = diffCumlants->GetBinContent(1+i);
2329 b = diffCumlants->GetBinError(1+i);
2331 qc->SetBinContent(1+i, c);
2332 (a <= 0 || b <= 0) ? qc->SetBinError(1+i, b) : qc->SetBinError(1+i, TMath::Sqrt(c*c*b*b/(a*a)));
2337 //_____________________________________________________________________________
2338 void AliAnalysisTaskJetV2::ReadVZEROCalibration2010h()
2340 // necessary for calibration of 10h vzero event plane. code copied from flow package
2341 // (duplicate, but i didn't want to introduce an ulgy dependency )
2342 // this function is only called when the runnumber changes
2343 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2345 // 1) check if the proper chi weights for merging vzero a and vzero c ep are present
2346 // if not, use sane defaults. centrality binning is equal to that given in the fVZEROcentralityBin snippet
2348 // chi values can be calculated using the static helper function
2349 // AliAnalysisTaskJetV2::CalculateEventPlaneChi(Double_t res) where res is the event plane
2350 // resolution in a given centrality bin
2352 // the resolutions that were used for these defaults are
2353 // this might need a bit of updating as they were read 'by-eye' from a performance plot ..
2354 // Double_t R2VZEROA[] = {.35, .40, .48, .50, .48, .45, .38, .26, .16};
2355 // Double_t R2VZEROC[] = {.45, .60, .70, .73, .68, .60, .40, .36, .17};
2356 // Double_t R3VZEROA[] = {.22, .23, .22, .19, .15, .12, .08, .00, .00};
2357 // Double_t R3VZEROC[] = {.30, .30, .28, .25, .22, .17, .11, .00, .00};
2359 Double_t chiC2[] = {0.771423, 1.10236, 1.38116, 1.48077, 1.31964, 1.10236, 0.674622, 0.600403, 0.273865};
2360 Double_t chiA2[] = {0.582214, 0.674622, 0.832214, 0.873962, 0.832214, 0.771423, 0.637146, 0.424255, 0.257385};
2361 Double_t chiC3[] = {0.493347, 0.493347, 0.458557, 0.407166, 0.356628, 0.273865, 0.176208, 6.10352e-05, 6.10352e-05};
2362 Double_t chiA3[] = {0.356628, 0.373474, 0.356628, 0.306702, 0.24115, 0.192322, 0.127869, 6.10352e-05, 6.10352e-05};
2364 if(!fChi2A) fChi2A = new TArrayD(9, chiA2);
2365 if(!fChi2C) fChi2C = new TArrayD(9, chiC2);
2366 if(!fChi3A) fChi3A = new TArrayD(9, chiA3);
2367 if(!fChi3C) fChi3C = new TArrayD(9, chiC3);
2369 // 2) open database file
2370 fOADB = TFile::Open("$ALICE_ROOT/OADB/PWGCF/VZERO/VZEROcalibEP.root");
2371 if(fOADB->IsZombie()){
2372 printf("OADB file $ALICE_ROOT/OADB/PWGCF/VZERO/VZEROcalibEP.root cannot be opened, CALIBRATION FAILED !");
2376 AliOADBContainer *cont = (AliOADBContainer*) fOADB->Get("hMultV0BefCorr");
2378 // see if database is readable
2379 printf("OADB object hMultV0BefCorr is not available in the file\n");
2382 Int_t run(fRunNumber);
2383 if(!(cont->GetObject(run))){
2384 // if the run isn't recognized fall back to a default run
2385 printf("OADB object hMultVZEROBefCorr is not available for run %i (used default run 137366)\n",run);
2388 // step 3) get the proper multiplicity weights from the vzero signal
2389 fVZEROgainEqualization = ((TH2F*)cont->GetObject(run))->ProfileX();
2390 if(!fVZEROgainEqualization) {
2391 AliFatal(Form("%s: Fatal error, couldn't read fVZEROgainEqualization from OADB object < \n", GetName()));
2395 TF1* fpol0 = new TF1("fpol0","pol0");
2396 if(fVZEROgainEqualizationPerRing) {
2397 // do the calibration per ring
2398 // start with the vzero c rings (segments 0 through 31)
2399 fVZEROgainEqualization->Fit(fpol0, "", "", 0, 8);
2400 (fUseVZERORing[0]) ? SetVZEROCpol(0, fpol0->GetParameter(0)) : SetVZEROCpol(0, 0.);
2401 fVZEROgainEqualization->Fit(fpol0, "", "", 8, 16);
2402 (fUseVZERORing[1]) ? SetVZEROCpol(1, fpol0->GetParameter(0)) : SetVZEROCpol(1, 0.);
2403 fVZEROgainEqualization->Fit(fpol0, "", "", 16, 24);
2404 (fUseVZERORing[2]) ? SetVZEROCpol(2, fpol0->GetParameter(0)) : SetVZEROCpol(2, 0.);
2405 fVZEROgainEqualization->Fit(fpol0, "", "", 24, 32);
2406 (fUseVZERORing[3]) ? SetVZEROCpol(3, fpol0->GetParameter(0)) : SetVZEROCpol(3, 0.);
2407 // same thing for vero A
2408 fVZEROgainEqualization->Fit(fpol0, "", "", 32, 40);
2409 (fUseVZERORing[4]) ? SetVZEROApol(0, fpol0->GetParameter(0)) : SetVZEROApol(0, 0.);
2410 fVZEROgainEqualization->Fit(fpol0, "", "", 40, 48);
2411 (fUseVZERORing[5]) ? SetVZEROApol(1, fpol0->GetParameter(0)) : SetVZEROApol(1, 0.);
2412 fVZEROgainEqualization->Fit(fpol0, "", "", 48, 56);
2413 (fUseVZERORing[6]) ? SetVZEROApol(2, fpol0->GetParameter(0)) : SetVZEROApol(2, 0.);
2414 fVZEROgainEqualization->Fit(fpol0, "", "", 56, 64);
2415 (fUseVZERORing[7]) ? SetVZEROApol(3, fpol0->GetParameter(0)) : SetVZEROApol(3, 0.);
2417 // do the calibration in one go. the calibration will still be
2418 // stored per ring, but each ring has the same weight now
2419 // this should be the default for the analysis as the database is tuned to this configuration
2420 fVZEROgainEqualization->Fit(fpol0,"","",0,31);
2421 for(Int_t i(0); i < 4; i++) SetVZEROCpol(i, fpol0->GetParameter(0));
2422 fVZEROgainEqualization->Fit(fpol0,"","",32,64);
2423 for(Int_t i(0); i < 4; i++) SetVZEROApol(i, fpol0->GetParameter(0));
2426 // step 4) extract the information to re-weight the q-vectors
2427 for(Int_t iside=0;iside<2;iside++){
2428 for(Int_t icoord=0;icoord<2;icoord++){
2429 for(Int_t i=0;i < 9;i++){
2431 if(iside==0 && icoord==0)
2432 snprintf(namecont,100,"hQxc2_%i",i);
2433 else if(iside==1 && icoord==0)
2434 snprintf(namecont,100,"hQxa2_%i",i);
2435 else if(iside==0 && icoord==1)
2436 snprintf(namecont,100,"hQyc2_%i",i);
2437 else if(iside==1 && icoord==1)
2438 snprintf(namecont,100,"hQya2_%i",i);
2440 cont = (AliOADBContainer*) fOADB->Get(namecont);
2442 printf("OADB object %s is not available in the file\n",namecont);
2446 if(!(cont->GetObject(run))){
2447 printf("OADB object %s is not available for run %i (used run 137366)\n",namecont,run);
2451 // store info for all centralities to cache
2452 fMeanQ[i][iside][icoord] = ((TH1F *) cont->GetObject(run))->GetMean();
2453 fWidthQ[i][iside][icoord] = ((TH1F *) cont->GetObject(run))->GetRMS();
2456 if(iside==0 && icoord==0)
2457 snprintf(namecont,100,"hQxc3_%i",i);
2458 else if(iside==1 && icoord==0)
2459 snprintf(namecont,100,"hQxa3_%i",i);
2460 else if(iside==0 && icoord==1)
2461 snprintf(namecont,100,"hQyc3_%i",i);
2462 else if(iside==1 && icoord==1)
2463 snprintf(namecont,100,"hQya3_%i",i);
2465 cont = (AliOADBContainer*) fOADB->Get(namecont);
2467 printf("OADB object %s is not available in the file\n",namecont);
2471 if(!(cont->GetObject(run))){
2472 printf("OADB object %s is not available for run %i (used run 137366)\n",namecont,run);
2475 // store info for all centralities to cache
2476 fMeanQv3[i][iside][icoord] = ((TH1F *) cont->GetObject(run))->GetMean();
2477 fWidthQv3[i][iside][icoord] = ((TH1F *) cont->GetObject(run))->GetRMS();
2481 // cleanup. the opened file is closed in the destructor, otherwise fVZEROgainEqualization is no longer available
2484 //_____________________________________________________________________________
2485 Int_t AliAnalysisTaskJetV2::GetVZEROCentralityBin() const
2487 // return cache index number corresponding to the event centrality
2488 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
2489 Float_t v0Centr(InputEvent()->GetCentrality()->GetCentralityPercentile("V0M"));
2490 if(v0Centr < 5) return 0;
2491 else if(v0Centr < 10) return 1;
2492 else if(v0Centr < 20) return 2;
2493 else if(v0Centr < 30) return 3;
2494 else if(v0Centr < 40) return 4;
2495 else if(v0Centr < 50) return 5;
2496 else if(v0Centr < 60) return 6;
2497 else if(v0Centr < 70) return 7;
2500 //_____________________________________________________________________________
2501 AliEmcalJet* AliAnalysisTaskJetV2::GetLeadingJet(AliLocalRhoParameter* localRho) {
2502 // return pointer to the highest pt jet (before background subtraction) within acceptance
2503 // only rudimentary cuts are applied on this level, hence the implementation outside of
2505 Int_t iJets(fJets->GetEntriesFast());
2507 AliEmcalJet* leadingJet(0x0);
2509 for(Int_t i(0); i < iJets; i++) {
2510 AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
2511 if(!PassesSimpleCuts(jet)) continue;
2512 if(jet->Pt() > pt) {
2514 pt = leadingJet->Pt();
2519 // return leading jet after background subtraction
2521 for(Int_t i(0); i < iJets; i++) {
2522 AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
2523 if(!PassesSimpleCuts(jet)) continue;
2524 rho = localRho->GetLocalVal(jet->Phi(), GetJetContainer()->GetJetRadius(), localRho->GetVal());
2525 if((jet->Pt()-jet->Area()*rho) > pt) {
2527 pt = (leadingJet->Pt()-jet->Area()*rho);
2535 //_____________________________________________________________________________