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 **************************************************************************/
17 * analysis task for jet flow preparation
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
43 #include <AliAnalysisTask.h>
44 #include <AliAnalysisManager.h>
45 #include <AliCentrality.h>
46 #include <AliVVertex.h>
47 #include <AliESDEvent.h>
48 #include <AliAODEvent.h>
49 #include <AliAODTrack.h>
50 // emcal jet framework includes
51 #include <AliPicoTrack.h>
52 #include <AliEmcalJet.h>
53 #include <AliRhoParameter.h>
54 #include <AliLocalRhoParameter.h>
55 #include <AliAnalysisTaskRhoVnModulation.h>
57 class AliAnalysisTaskRhoVnModulation;
60 ClassImp(AliAnalysisTaskRhoVnModulation)
62 AliAnalysisTaskRhoVnModulation::AliAnalysisTaskRhoVnModulation() : AliAnalysisTaskEmcalJet("AliAnalysisTaskRhoVnModulation", kTRUE),
63 fDebug(0), fLocalInit(0), fAttachToEvent(kTRUE), fSemiCentralInclusive(kFALSE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fPtBinsHybrids(0), fPtBinsJets(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fTracksCont(0), fJetsCont(0), fUseScaledRho(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fDetectorType(kTPC), fFitModulationOptions("QWLI"), fRunModeType(kGrid), fDataType(kESD), fCollisionType(kPbPb), fRandom(0), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fMinPvalue(0.01), fMaxPvalue(1), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fLocalJetMinEta(-10), fLocalJetMaxEta(-10), fLocalJetMinPhi(-10), fLocalJetMaxPhi(-10), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fAbsVertexZ(10), fHistCentrality(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fHistPvaluePDF(0), fHistPvalueCDF(0), fMinDisanceRCtoLJ(0), fRandomConeRadius(-1.), fMaxCones(-1), fAbsVnHarmonics(kTRUE), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fUseV0EventPlaneFromHeader(kTRUE), fExplicitOutlierCut(-1), fMinLeadingHadronPt(0), fSubtractJetPt(kFALSE), 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), fHistPsiTPCiV0M(0), fHistPsiVZEROATRK(0), fHistPsiVZEROCTRK(0), fHistPsiVZEROTRK(0), fHistPsiTPCTRK(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0) {
64 for(Int_t i(0); i < 10; i++) {
65 fProfV2Resolution[i] = 0;
66 fProfV3Resolution[i] = 0;
67 fHistPicoTrackPt[i] = 0;
68 fHistPicoTrackMult[i] = 0;
72 /* fHistClusterPt[i] = 0; */
73 /* fHistClusterPhi[i] = 0; */
74 /* fHistClusterEta[i] = 0; */
75 /* fHistClusterCorrPt[i] = 0; */
76 /* fHistClusterCorrPhi[i] = 0; */
77 /* fHistClusterCorrEta[i] = 0; */
78 fHistRhoPackage[i] = 0;
81 fHistRhoVsRCPt[i] = 0;
83 fHistDeltaPtDeltaPhi2[i] = 0;
84 fHistDeltaPtDeltaPhi3[i] = 0;
85 fHistRCPhiEtaExLJ[i] = 0;
86 fHistRhoVsRCPtExLJ[i] = 0;
88 fHistDeltaPtDeltaPhi2ExLJ[i] = 0;
89 fHistDeltaPtDeltaPhi3ExLJ[i] = 0;
90 /* fHistRCPhiEtaRand[i] = 0; */
91 /* fHistRhoVsRCPtRand[i] = 0; */
92 /* fHistRCPtRand[i] = 0; */
93 /* fHistDeltaPtDeltaPhi2Rand[i] = 0; */
94 /* fHistDeltaPtDeltaPhi3Rand[i] = 0; */
97 fHistJetEtaPhi[i] = 0;
98 fHistJetPtArea[i] = 0;
99 fHistJetPtConstituents[i] = 0;
100 fHistJetEtaRho[i] = 0;
101 fHistJetPsi2Pt[i] = 0;
102 fHistJetPsi3Pt[i] = 0;
104 // default constructor
106 //_____________________________________________________________________________
107 AliAnalysisTaskRhoVnModulation::AliAnalysisTaskRhoVnModulation(const char* name, runModeType type) : AliAnalysisTaskEmcalJet(name, kTRUE),
108 fDebug(0), fLocalInit(0), fAttachToEvent(kTRUE), fSemiCentralInclusive(kFALSE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fPtBinsHybrids(0), fPtBinsJets(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fTracksCont(0), fJetsCont(0), fUseScaledRho(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fDetectorType(kTPC), fFitModulationOptions("QWLI"), fRunModeType(type), fDataType(kESD), fCollisionType(kPbPb), fRandom(0), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fMinPvalue(0.01), fMaxPvalue(1), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fLocalJetMinEta(-10), fLocalJetMaxEta(-10), fLocalJetMinPhi(-10), fLocalJetMaxPhi(-10), fSoftTrackMinPt(0.15), fSoftTrackMaxPt(5.), fAbsVertexZ(10), fHistCentrality(0), fHistVertexz(0), fHistRunnumbersPhi(0), fHistRunnumbersEta(0), fHistPvaluePDF(0), fHistPvalueCDF(0), fMinDisanceRCtoLJ(0), fRandomConeRadius(-1.), fMaxCones(-1), fAbsVnHarmonics(kTRUE), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fUseV0EventPlaneFromHeader(kTRUE), fExplicitOutlierCut(-1), fMinLeadingHadronPt(0), fSubtractJetPt(kFALSE), 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), fHistPsiTPCiV0M(0), fHistPsiVZEROATRK(0), fHistPsiVZEROCTRK(0), fHistPsiVZEROTRK(0), fHistPsiTPCTRK(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0) {
109 for(Int_t i(0); i < 10; i++) {
110 fProfV2Resolution[i] = 0;
111 fProfV3Resolution[i] = 0;
112 fHistPicoTrackPt[i] = 0;
113 fHistPicoTrackMult[i] = 0;
114 fHistPicoCat1[i] = 0;
115 fHistPicoCat2[i] = 0;
116 fHistPicoCat3[i] = 0;
117 /* fHistClusterPt[i] = 0; */
118 /* fHistClusterPhi[i] = 0; */
119 /* fHistClusterEta[i] = 0; */
120 /* fHistClusterCorrPt[i] = 0; */
121 /* fHistClusterCorrPhi[i] = 0; */
122 /* fHistClusterCorrEta[i] = 0; */
123 fHistRhoPackage[i] = 0;
125 fHistRCPhiEta[i] = 0;
126 fHistRhoVsRCPt[i] = 0;
128 fHistDeltaPtDeltaPhi2[i] = 0;
129 fHistDeltaPtDeltaPhi3[i] = 0;
130 fHistRCPhiEtaExLJ[i] = 0;
131 fHistRhoVsRCPtExLJ[i] = 0;
132 fHistRCPtExLJ[i] = 0;
133 fHistDeltaPtDeltaPhi2ExLJ[i] = 0;
134 fHistDeltaPtDeltaPhi3ExLJ[i] = 0;
135 /* fHistRCPhiEtaRand[i] = 0; */
136 /* fHistRhoVsRCPtRand[i] = 0; */
137 /* fHistRCPtRand[i] = 0; */
138 /* fHistDeltaPtDeltaPhi2Rand[i] = 0; */
139 /* fHistDeltaPtDeltaPhi3Rand[i] = 0; */
140 fHistJetPtRaw[i] = 0;
142 fHistJetEtaPhi[i] = 0;
143 fHistJetPtArea[i] = 0;
144 fHistJetPtConstituents[i] = 0;
145 fHistJetEtaRho[i] = 0;
146 fHistJetPsi2Pt[i] = 0;
147 fHistJetPsi3Pt[i] = 0;
150 DefineInput(0, TChain::Class());
151 DefineOutput(1, TList::Class());
152 switch (fRunModeType) {
154 gStyle->SetOptFit(1);
155 DefineOutput(2, TList::Class());
156 DefineOutput(3, TList::Class());
158 default: fDebug = -1; // suppress debug info explicitely when not running locally
160 switch (fCollisionType) {
162 fFitModulationType = kNoFit;
166 if(fLocalRhoName=="") fLocalRhoName = Form("LocalRhoFrom_%s", GetName());
168 //_____________________________________________________________________________
169 AliAnalysisTaskRhoVnModulation::~AliAnalysisTaskRhoVnModulation()
172 if(fOutputList) delete fOutputList;
173 if(fOutputListGood) delete fOutputListGood;
174 if(fOutputListBad) delete fOutputListBad;
175 if(fFitModulation) delete fFitModulation;
176 if(fHistSwap) delete fHistSwap;
177 if(fCentralityClasses) delete fCentralityClasses;
179 //_____________________________________________________________________________
180 void AliAnalysisTaskRhoVnModulation::ExecOnce()
183 fLocalRho = new AliLocalRhoParameter(fLocalRhoName.Data(), 0);
185 if(!(InputEvent()->FindListObject(fLocalRho->GetName()))) {
186 InputEvent()->AddObject(fLocalRho);
188 AliFatal(Form("%s: Container with name %s already present. Aborting", GetName(), fLocalRho->GetName()));
191 AliAnalysisTaskEmcalJet::ExecOnce(); // init the base class
192 AliAnalysisTaskEmcalJet::SetVzRange(-1.*fAbsVertexZ, fAbsVertexZ);
194 // unscaled rho has been retrieved by the parent class, now we retrieve rho scaled
195 fRho = dynamic_cast<AliRhoParameter*>(InputEvent()->FindListObject(Form("%s_Scaled", fRho->GetName())));
197 AliFatal(Form("%s: Couldn't find container for scaled rho. Aborting !", GetName()));
200 if(!GetJetContainer()) AliFatal(Form("%s: Couldn't find jet container. Aborting !", GetName()));
202 //_____________________________________________________________________________
203 Bool_t AliAnalysisTaskRhoVnModulation::InitializeAnalysis()
205 // initialize the anaysis
206 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
207 if(fRandomConeRadius <= 0) fRandomConeRadius = GetJetContainer()->GetJetRadius();
208 if(fMaxCones <= 0) fMaxCones = TMath::Nint(1.8*TMath::TwoPi()/(TMath::Pi()*fRandomConeRadius*fRandomConeRadius));
209 if(fLocalJetMinEta > -10 && fLocalJetMaxEta > -10) GetJetContainer()->SetJetEtaLimits(fLocalJetMinEta, fLocalJetMaxEta);
210 if(fLocalJetMinPhi > -10 && fLocalJetMaxPhi > -10) GetJetContainer()->SetJetPhiLimits(fLocalJetMinPhi, fLocalJetMaxPhi);
211 if(fMinDisanceRCtoLJ==0) fMinDisanceRCtoLJ = .5*GetJetRadius();
212 if(dynamic_cast<AliAODEvent*>(InputEvent())) fDataType = kAOD; // determine the datatype
213 else if(dynamic_cast<AliESDEvent*>(InputEvent())) fDataType = kESD;
214 fHistAnalysisSummary->SetBinContent(36, (int)fDataType);
215 if(!fRandom) fRandom = new TRandom3(0); // get a randomized if one hasn't been user-supplied
216 switch (fFitModulationType) {
217 case kNoFit : { SetModulationFit(new TF1("fix_kNoFit", "[0]", 0, TMath::TwoPi())); } break;
219 SetModulationFit(new TF1("fit_kV2", "[0]*([1]+[2]*[3]*TMath::Cos([2]*(x-[4])))", 0, TMath::TwoPi()));
220 fFitModulation->SetParameter(0, 0.); // normalization
221 fFitModulation->SetParameter(3, 0.2); // v2
222 fFitModulation->FixParameter(1, 1.); // constant
223 fFitModulation->FixParameter(2, 2.); // constant
226 SetModulationFit(new TF1("fit_kV3", "[0]*([1]+[2]*[3]*TMath::Cos([2]*(x-[4])))", 0, TMath::TwoPi()));
227 fFitModulation->SetParameter(0, 0.); // normalization
228 fFitModulation->SetParameter(3, 0.2); // v3
229 fFitModulation->FixParameter(1, 1.); // constant
230 fFitModulation->FixParameter(2, 3.); // constant
232 default : { // for the combined fit, the 'direct fourier series' or the user supplied vn values we use v2 and v3
233 SetModulationFit(new TF1("fit_kCombined", "[0]*([1]+[2]*([3]*TMath::Cos([2]*(x-[4]))+[7]*TMath::Cos([5]*(x-[6]))))", 0, TMath::TwoPi()));
234 fFitModulation->SetParameter(0, 0.); // normalization
235 fFitModulation->SetParameter(3, 0.2); // v2
236 fFitModulation->FixParameter(1, 1.); // constant
237 fFitModulation->FixParameter(2, 2.); // constant
238 fFitModulation->FixParameter(5, 3.); // constant
239 fFitModulation->SetParameter(7, 0.2); // v3
242 switch (fRunModeType) {
243 case kGrid : { fFitModulationOptions += "N0"; } break;
246 FillAnalysisSummaryHistogram();
249 //_____________________________________________________________________________
250 TH1F* AliAnalysisTaskRhoVnModulation::BookTH1F(const char* name, const char* x, Int_t bins, Double_t min, Double_t max, Int_t c, Bool_t append)
252 // book a TH1F and connect it to the output container
253 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
254 if(fReduceBinsXByFactor > 0 ) bins = TMath::Nint(bins/fReduceBinsXByFactor);
255 if(!fOutputList) return 0x0;
257 if(c!=-1) { // format centrality dependent histograms accordingly
258 name = Form("%s_%i", name, c);
259 title += Form("_%i-%i", fCentralityClasses->At(c), fCentralityClasses->At(1+c));
261 title += Form(";%s;[counts]", x);
262 TH1F* histogram = new TH1F(name, title.Data(), bins, min, max);
264 if(append) fOutputList->Add(histogram);
267 //_____________________________________________________________________________
268 TH2F* AliAnalysisTaskRhoVnModulation::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)
270 // book a TH2F and connect it to the output container
271 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
272 if(fReduceBinsXByFactor > 0 ) binsx = TMath::Nint(binsx/fReduceBinsXByFactor);
273 if(fReduceBinsYByFactor > 0 ) binsy = TMath::Nint(binsy/fReduceBinsYByFactor);
274 if(!fOutputList) return 0x0;
276 if(c!=-1) { // format centrality dependent histograms accordingly
277 name = Form("%s_%i", name, c);
278 title += Form("_%i-%i", fCentralityClasses->At(c), fCentralityClasses->At(1+c));
280 title += Form(";%s;%s", x, y);
281 TH2F* histogram = new TH2F(name, title.Data(), binsx, minx, maxx, binsy, miny, maxy);
283 if(append) fOutputList->Add(histogram);
286 //_____________________________________________________________________________
287 void AliAnalysisTaskRhoVnModulation::UserCreateOutputObjects()
289 // create output objects
290 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
291 fOutputList = new TList();
292 fOutputList->SetOwner(kTRUE);
293 if(!fCentralityClasses) { // classes must be defined at this point
294 Int_t c[] = {0, 20, 40, 60, 80, 100};
295 fCentralityClasses = new TArrayI(sizeof(c)/sizeof(c[0]), c);
298 fHistCentrality = BookTH1F("fHistCentrality", "centrality", 102, -2, 100);
299 fHistVertexz = BookTH1F("fHistVertexz", "vertex z (cm)", 100, -12, 12);
301 // pico track kinematics
302 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) {
303 fHistPicoTrackPt[i] = BookTH1F("fHistPicoTrackPt", "p_{t} [GeV/c]", 100, 0, 50, i);
304 fHistPicoTrackMult[i] = BookTH1F("fHistPicoTrackMult", "multiplicity", 100, 0, 5000, i);
305 if(fFillQAHistograms) {
306 fHistPicoCat1[i] = BookTH2F("fHistPicoCat1", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
307 fHistPicoCat2[i] = BookTH2F("fHistPicoCat2", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
308 fHistPicoCat3[i] = BookTH2F("fHistPicoCat3", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
311 /* fHistClusterPt[i] = BookTH1F("fHistClusterPt", "p_{t} [GeV/c]", 100, 0, 100, i); */
312 /* fHistClusterPhi[i] = BookTH1F("fHistClusterPhi", "#phi", 100, 0, TMath::TwoPi(), i); */
313 /* fHistClusterEta[i] = BookTH1F("fHistClusterEta", "#eta", 100, -5, 5); */
315 // emcal kinematics after hadronic correction
316 /* fHistClusterCorrPt[i] = BookTH1F("fHistClusterCorrPt", "p_{t} [GeV/c]", 100, 0, 100, i); */
317 /* fHistClusterCorrPhi[i] = BookTH1F("fHistClusterCorrPhi", "#phi", 100, 0, TMath::TwoPi(), i); */
318 /* fHistClusterCorrEta[i] = BookTH1F("fHistClusterCorrEta", "#eta", 100, -5, 5, i); */
321 if(fFillQAHistograms) {
322 // event plane estimates and quality
323 fHistPsiControl = new TProfile("fHistPsiControl", "fHistPsiControl", 10, 0, 10);
324 fHistPsiControl->Sumw2();
325 fHistPsiSpread = new TProfile("fHistPsiSpread", "fHistPsiSpread", 4, 0, 4);
326 fHistPsiSpread->Sumw2();
327 fHistPsiControl->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA}>");
328 fHistPsiControl->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC}>");
329 fHistPsiControl->GetXaxis()->SetBinLabel(3, "<#Psi_{2, TPC}>");
330 fHistPsiControl->GetXaxis()->SetBinLabel(4, "<#Psi_{2, TPC, #eta < 0}>");
331 fHistPsiControl->GetXaxis()->SetBinLabel(5, "<#Psi_{2, TPC, #eta > 0}>");
332 fHistPsiControl->GetXaxis()->SetBinLabel(6, "<#Psi_{3, VZEROA}>");
333 fHistPsiControl->GetXaxis()->SetBinLabel(7, "<#Psi_{3, VZEROC}>");
334 fHistPsiControl->GetXaxis()->SetBinLabel(8, "<#Psi_{3, TPC}>");
335 fHistPsiControl->GetXaxis()->SetBinLabel(9, "<#Psi_{3, TPC, #eta < 0}>");
336 fHistPsiControl->GetXaxis()->SetBinLabel(10, "<#Psi_{3, TPC, #eta > 0}>");
337 fHistPsiSpread->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA} - #Psi_{2, VZEROC}>");
338 fHistPsiSpread->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>");
339 fHistPsiSpread->GetXaxis()->SetBinLabel(3, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>");
340 fHistPsiSpread->GetXaxis()->SetBinLabel(4, "<#Psi_{2, TPC, #eta < 0} - #Psi_{2, TPC, #eta > 0}>");
341 fOutputList->Add(fHistPsiControl);
342 fOutputList->Add(fHistPsiSpread);
343 fHistPsiVZEROA = BookTH1F("fHistPsiVZEROA", "#Psi_{VZEROA}", 40, -.5*TMath::Pi(), .5*TMath::Pi());
344 fHistPsiVZEROC = BookTH1F("fHistPsiVZEROC", "#Psi_{VZEROC}", 40, -.5*TMath::Pi(), .5*TMath::Pi());
345 fHistPsiVZERO = BookTH1F("fHistPsiVZERO", "#Psi_{VZERO}", 40, -.5*TMath::Pi(), .5*TMath::Pi());
346 fHistPsiTPC = BookTH1F("fHistPsiTPC", "#Psi_{TPC}", 40, -.5*TMath::Pi(), .5*TMath::Pi());
347 fHistPsiVZEROAV0M = BookTH2F("fHistPsiVZEROAV0M", "V0M", "#Psi_{2, VZEROA}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
348 fHistPsiVZEROCV0M = BookTH2F("fHistPsiVZEROCV0M", "V0M", "#Psi_{2, VZEROC}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
349 fHistPsiVZEROVV0M = BookTH2F("fHistPsiVZEROV0M", "V0M", "#Psi_{2, VZERO}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
350 fHistPsiTPCiV0M = BookTH2F("fHistPsiTPCV0M", "V0M", "#Psi_{2, TRK}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
351 fHistPsiVZEROATRK = BookTH2F("fHistPsiVZEROATRK", "TRK", "#Psi_{2, VZEROA}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
352 fHistPsiVZEROCTRK = BookTH2F("fHistPsiVZEROCTRK", "TRK", "#Psi_{2, VZEROC}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
353 fHistPsiVZEROTRK = BookTH2F("fHistPsiVZEROTRK", "TRK", "#Psi_{2, VZERO}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
354 fHistPsiTPCTRK = BookTH2F("fHistPsiTPCTRK", "TRK", "#Psi_{2, TRK}", 60, 0, 60, 40, -.5*TMath::Pi(), .5*TMath::Pi());
357 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i ++) {
358 fHistRhoPackage[i] = BookTH1F("fHistRhoPackage", "#rho [GeV/c]", 100, 0, 150, i);
359 fHistRho[i] = BookTH1F("fHistRho", "#rho [GeV/c]", 100, 0, 150, i);
361 fHistRhoVsMult = BookTH2F("fHistRhoVsMult", "multiplicity", "#rho [GeV/c]", 100, 0, 4000, 100, 0, 250);
362 fHistRhoVsCent = BookTH2F("fHistRhoVsCent", "centrality", "#rho [GeV/c]", 100, 0, 100, 100, 0, 250);
363 fHistRhoAVsMult = BookTH2F("fHistRhoAVsMult", "multiplicity", "#rho * A (jet) [GeV/c]", 100, 0, 4000, 100, 0, 50);
364 fHistRhoAVsCent = BookTH2F("fHistRhoAVsCent", "centrality", "#rho * A (jet) [GeV/c]", 100, 0, 100, 100, 0, 50);
366 TString detector("");
367 switch (fDetectorType) {
368 case kTPC : detector+="TPC";
370 case kVZEROA : detector+="VZEROA";
372 case kVZEROC : detector+="VZEROC";
374 case kVZEROComb : detector+="VZEROComb";
378 // delta pt distributions
379 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i ++) {
380 if(fFillQAHistograms) fHistRCPhiEta[i] = BookTH2F("fHistRCPhiEta", "#phi (RC)", "#eta (RC)", 40, 0, TMath::TwoPi(), 40, -1, 1, i);
381 fHistRhoVsRCPt[i] = BookTH2F("fHistRhoVsRCPt", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i);
382 fHistRCPt[i] = BookTH1F("fHistRCPt", "p_{t} (RC) [GeV/c]", 130, -20, 150, i);
383 if(fFillQAHistograms) fHistRCPhiEtaExLJ[i] = BookTH2F("fHistRCPhiEtaExLJ", "#phi (RC)", "#eta (RC)", 40, 0, TMath::TwoPi(), 40, -1, 1, i);
384 fHistDeltaPtDeltaPhi2[i] = BookTH2F("fHistDeltaPtDeltaPhi2", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i);
385 fHistDeltaPtDeltaPhi3[i] = BookTH2F("fHistDeltaPtDeltaPhi3", Form("#phi - #Psi_{3, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::TwoPi()/3., 400, -70, 130, i);
386 fHistRhoVsRCPtExLJ[i] = BookTH2F("fHistRhoVsRCPtExLJ", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i);
387 fHistRCPtExLJ[i] = BookTH1F("fHistRCPtExLJ", "p_{t} (RC) [GeV/c]", 130, -20, 150, i);
388 /* fHistRCPhiEtaRand[i] = BookTH2F("fHistRCPhiEtaRand", "#phi (RC)", "#eta (RC)", 100, 0, TMath::TwoPi(), 100, -1, 1, i); */
389 fHistDeltaPtDeltaPhi2ExLJ[i] = BookTH2F("fHistDeltaPtDeltaPhi2ExLJ", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::Pi(), 400, -70, 130, i);
390 fHistDeltaPtDeltaPhi3ExLJ[i] = BookTH2F("fHistDeltaPtDeltaPhi3ExLJ", Form("#phi - #Psi_{3, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 40, 0, TMath::TwoPi()/3., 400, -70, 130, i);
391 /* fHistRhoVsRCPtRand[i] = BookTH2F("fHistRhoVsRCPtRand", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i); */
392 /* fHistRCPtRand[i] = BookTH1F("fHistRCPtRand", "p_{t} (RC) [GeV/c]", 130, -20, 150, i); */
393 /* fHistDeltaPtDeltaPhi2Rand[i] = BookTH2F("fHistDeltaPtDeltaPhi2Rand", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::Pi(), 100, -50, 100, i); */
394 /* fHistDeltaPtDeltaPhi3Rand[i] = BookTH2F("fHistDeltaPtDeltaPhi3Rand", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::TwoPi()/3., 100, -50, 100, i); */
395 // jet histograms (after kinematic cuts)
396 fHistJetPtRaw[i] = BookTH1F("fHistJetPtRaw", "p_{t} RAW [GeV/c]", 200, -50, 150, i);
397 fHistJetPt[i] = BookTH1F("fHistJetPt", "p_{t} [GeV/c]", 350, -100, 250, i);
398 if(fFillQAHistograms) fHistJetEtaPhi[i] = BookTH2F("fHistJetEtaPhi", "#eta", "#phi", 100, -1, 1, 100, 0, TMath::TwoPi(), i);
399 fHistJetPtArea[i] = BookTH2F("fHistJetPtArea", "p_{t} [GeV/c]", "Area", 175, -100, 250, 30, 0, 0.9, i);
400 fHistJetPtConstituents[i] = BookTH2F("fHistJetPtConstituents", "p_{t} [GeV/c]", "Area", 350, -100, 250, 60, 0, 150, i);
401 fHistJetEtaRho[i] = BookTH2F("fHistJetEtaRho", "#eta", "#rho", 100, -1, 1, 100, 0, 300, i);
402 // in plane and out of plane spectra
403 fHistJetPsi2Pt[i] = BookTH2F("fHistJetPsi2Pt", Form("#phi_{jet} - #Psi_{2, %s}", detector.Data()), "p_{t} [GeV/c]", 40, 0., TMath::Pi(), 350, -100, 250, i);
404 fHistJetPsi3Pt[i] = BookTH2F("fHistJetPsi3Pt", Form("#phi_{jet} - #Psi_{3, %s}", detector.Data()), "p_{t} [GeV/c]", 40, 0., TMath::TwoPi()/3., 350, -100, 250, i);
405 // profiles for all correlator permutations which are necessary to calculate each second and third order event plane resolution
406 fProfV2Resolution[i] = new TProfile(Form("fProfV2Resolution_%i", i), Form("fProfV2Resolution_%i", i), 11, -0.5, 10.5);
407 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(3, "<cos(2(#Psi_{VZEROA} - #Psi_{VZEROC}))>");
408 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(4, "<cos(2(#Psi_{VZEROC} - #Psi_{VZEROA}))>");
409 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(5, "<cos(2(#Psi_{VZEROA} - #Psi_{TPC}))>");
410 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(6, "<cos(2(#Psi_{TPC} - #Psi_{VZEROA}))>");
411 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(7, "<cos(2(#Psi_{VZEROC} - #Psi_{TPC}))>");
412 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(8, "<cos(2(#Psi_{TPC} - #Psi_{VZEROC}))>");
413 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(9, "<cos(2(#Psi_{VZERO} - #Psi_{TPC_A}))>");
414 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(10, "<cos(2(#Psi_{VZERO} - #Psi_{TPC_B}))>");
415 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(11, "<cos(2(#Psi_{TPC_A} - #Psi_{TPC_B}))>");
416 fOutputList->Add(fProfV2Resolution[i]);
417 fProfV3Resolution[i] = new TProfile(Form("fProfV3Resolution_%i", i), Form("fProfV3Resolution_%i", i), 11, -0.5, 10.5);
418 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(3, "<cos(3(#Psi_{VZEROA} - #Psi_{VZEROC}))>");
419 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(4, "<cos(3(#Psi_{VZEROC} - #Psi_{VZEROA}))>");
420 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(5, "<cos(3(#Psi_{VZEROA} - #Psi_{TPC}))>");
421 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(6, "<cos(3(#Psi_{TPC} - #Psi_{VZEROA}))>");
422 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(7, "<cos(3(#Psi_{VZEROC} - #Psi_{TPC}))>");
423 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(8, "<cos(3(#Psi_{TPC} - #Psi_{VZEROC}))>");
424 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(9, "<cos(3(#Psi_{VZERO} - #Psi_{TPC_A}))>");
425 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(10, "<cos(3(#Psi_{VZERO} - #Psi_{TPC_B}))>");
426 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(11, "<cos(3(#Psi_{TPC_A} - #Psi_{TPC_B}))>");
427 fOutputList->Add(fProfV3Resolution[i]);
429 // cdf and pdf of chisquare distribution
430 fHistPvaluePDF = BookTH1F("fHistPvaluePDF", "PDF #chi^{2}", 500, 0, 1);
431 fHistPvalueCDF = BookTH1F("fHistPvalueCDF", "CDF #chi^{2}", 500, 0, 1);
433 Float_t temp[fCentralityClasses->GetSize()];
434 for(Int_t i(0); i < fCentralityClasses->GetSize(); i++) temp[i] = fCentralityClasses->At(i);
435 fProfV2 = new TProfile("fProfV2", "fProfV2", fCentralityClasses->GetSize()-1, temp);
436 fProfV3 = new TProfile("fProfV3", "fProfV3", fCentralityClasses->GetSize()-1, temp);
437 fOutputList->Add(fProfV2);
438 fOutputList->Add(fProfV3);
439 switch (fFitModulationType) {
441 fProfV2Cumulant = new TProfile("fProfV2Cumulant", "fProfV2Cumulant", fCentralityClasses->GetSize()-1, temp);
442 fProfV3Cumulant = new TProfile("fProfV3Cumulant", "fProfV3Cumulant", fCentralityClasses->GetSize()-1, temp);
443 fOutputList->Add(fProfV2Cumulant);
444 fOutputList->Add(fProfV3Cumulant);
447 fProfV2Cumulant = new TProfile("fProfV2Cumulant", "fProfV2Cumulant", fCentralityClasses->GetSize()-1, temp);
448 fProfV3Cumulant = new TProfile("fProfV3Cumulant", "fProfV3Cumulant", fCentralityClasses->GetSize()-1, temp);
449 fOutputList->Add(fProfV2Cumulant);
450 fOutputList->Add(fProfV3Cumulant);
454 // for the histograms initialized below, binning is fixed to runnumbers or flags
455 fReduceBinsXByFactor = 1;
456 fReduceBinsYByFactor = 1;
457 if(fFillQAHistograms) {
458 fHistRunnumbersEta = new TH2F("fHistRunnumbersEta", "fHistRunnumbersEta", 100, -.5, 99.5, 100, -1.1, 1.1);
459 fHistRunnumbersEta->Sumw2();
460 fOutputList->Add(fHistRunnumbersEta);
461 fHistRunnumbersPhi = new TH2F("fHistRunnumbersPhi", "fHistRunnumbersPhi", 100, -.5, 99.5, 100, -0.2, TMath::TwoPi()+0.2);
462 fHistRunnumbersPhi->Sumw2();
463 fOutputList->Add(fHistRunnumbersPhi);
465 fHistAnalysisSummary = BookTH1F("fHistAnalysisSummary", "flag", 52, -0.5, 52.5);
466 fHistSwap = new TH1F("fHistSwap", "fHistSwap", 20, 0, TMath::TwoPi());
467 if(fUsePtWeight) fHistSwap->Sumw2();
469 if(fUserSuppliedV2) fOutputList->Add(fUserSuppliedV2);
470 if(fUserSuppliedV3) fOutputList->Add(fUserSuppliedV3);
471 if(fUserSuppliedR2) fOutputList->Add(fUserSuppliedR2);
472 if(fUserSuppliedR3) fOutputList->Add(fUserSuppliedR3);
473 // increase readability of output list
475 PostData(1, fOutputList);
477 switch (fRunModeType) {
479 fOutputListGood = new TList();
480 fOutputListGood->SetOwner(kTRUE);
481 fOutputListBad = new TList();
482 fOutputListBad->SetOwner(kTRUE);
483 PostData(2, fOutputListGood);
484 PostData(3, fOutputListBad);
489 // get the containers
490 fTracksCont = GetParticleContainer("Tracks");
491 fJetsCont = GetJetContainer("Jets");
493 //_____________________________________________________________________________
494 Bool_t AliAnalysisTaskRhoVnModulation::Run()
496 // user exec: execute once for each event
497 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
498 if(!fTracks||!fJets||!fRho) return kFALSE;
499 if(!fLocalInit) fLocalInit = InitializeAnalysis();
500 // reject the event if expected data is missing
501 if(!PassesCuts(InputEvent())) return kFALSE;
502 if(!fCaloClusters && fDebug > 0) printf(" > Warning: couldn't retreive calo clusters! < \n");
504 fLocalRho->SetVal(fRho->GetVal());
505 // [0][0] psi2a [1,0] psi2c
506 // [0][1] psi3a [1,1] psi3c
507 Double_t vzero[2][2];
508 CalculateEventPlaneVZERO(vzero);
509 /* for the combined vzero event plane
511 * not fully implmemented yet, use with caution ! */
512 Double_t vzeroComb[2];
513 CalculateEventPlaneCombinedVZERO(vzeroComb);
516 CalculateEventPlaneTPC(tpc);
517 Double_t psi2(-1), psi3(-1);
518 // arrays which will hold the fit parameters
519 switch (fDetectorType) { // determine the detector type for the rho fit
520 case kTPC : { psi2 = tpc[0]; psi3 = tpc[1]; } break;
521 case kVZEROA : { psi2 = vzero[0][0]; psi3 = vzero[0][1]; } break;
522 case kVZEROC : { psi2 = vzero[1][0]; psi3 = vzero[1][1]; } break;
523 case kVZEROComb : { psi2 = vzeroComb[0]; psi3 = vzeroComb[1];} break;
526 switch (fFitModulationType) { // do the fits
528 switch (fCollisionType) {
529 case kPythia : { // background is zero for pp jets
530 fFitModulation->FixParameter(0, 0);
531 fLocalRho->SetVal(0);
534 fFitModulation->FixParameter(0, fLocalRho->GetVal());
538 case kV2 : { // only v2
539 if(CorrectRho(psi2, psi3)) {
540 fProfV2->Fill(fCent, fFitModulation->GetParameter(3));
541 if(fUserSuppliedR2) {
542 Double_t r(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
543 if(r > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r);
545 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
548 case kV3 : { // only v3
549 if(CorrectRho(psi2, psi3)) {
550 if(fUserSuppliedR3) {
551 Double_t r(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
552 if(r > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r);
554 fProfV3->Fill(fCent, fFitModulation->GetParameter(3));
555 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
558 case kQC2 : { // qc2 analysis
559 if(CorrectRho(psi2, psi3)) {
560 if(fUserSuppliedR2 && fUserSuppliedR3) {
561 // note for the qc method, resolution is REVERSED to go back to v2obs
562 Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
563 Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
564 if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)*r2);
565 if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(7)*r3);
567 if (fUsePtWeight) { // use weighted weights
568 Double_t dQCnM11 = (fNoEventWeightsForQC) ? 1. : QCnM11();
569 fProfV2->Fill(fCent, fFitModulation->GetParameter(3), dQCnM11);
570 fProfV3->Fill(fCent, fFitModulation->GetParameter(7), dQCnM11);
572 Double_t dQCnM = (fNoEventWeightsForQC) ? 2. : QCnM();
573 fProfV2->Fill(fCent, fFitModulation->GetParameter(3), dQCnM*(dQCnM-1));
574 fProfV3->Fill(fCent, fFitModulation->GetParameter(7), dQCnM*(dQCnM-1));
576 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
580 if(CorrectRho(psi2, psi3)) {
581 if(fUserSuppliedR2 && fUserSuppliedR3) {
582 // note for the qc method, resolution is REVERSED to go back to v2obs
583 Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
584 Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
585 if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)*r2);
586 if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(7)*r3);
588 if (fUsePtWeight) { // use weighted weights
589 fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.5)/*, QCnM1111()*/);
590 fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.5)/*, QCnM1111()*/);
592 fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.5)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/);
593 fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.5)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/);
596 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
599 if(CorrectRho(psi2, psi3)) {
600 if(fUserSuppliedR2 && fUserSuppliedR3) {
601 Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
602 Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
603 if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r2);
604 if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(7)/r3);
606 fProfV2->Fill(fCent, fFitModulation->GetParameter(3));
607 fProfV3->Fill(fCent, fFitModulation->GetParameter(7));
608 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
612 // if all went well, update the local rho parameter
613 fLocalRho->SetLocalRho(fFitModulation);
614 // fill a number of histograms
615 if(fFillHistograms) FillHistogramsAfterSubtraction(psi2, psi3, vzero, vzeroComb, tpc);
616 if(fFillQAHistograms) FillQAHistograms(InputEvent());
617 // send the output to the connected output container
618 PostData(1, fOutputList);
619 switch (fRunModeType) {
621 PostData(2, fOutputListGood);
622 PostData(3, fOutputListBad);
629 //_____________________________________________________________________________
630 void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneVZERO(Double_t vzero[2][2]) const
632 // get the vzero event plane
633 if(fUseV0EventPlaneFromHeader) { // use the vzero from the header
634 Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0), h(0);
635 vzero[0][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 2, a, b);
636 vzero[1][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 2, c, d);
637 vzero[0][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 3, e, f);
638 vzero[1][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 3, g, h);
641 // grab the vzero event plane without recentering
642 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
643 Double_t qxa2(0), qya2(0), qxc2(0), qyc2(0); // for psi2
644 Double_t qxa3(0), qya3(0), qxc3(0), qyc3(0); // for psi3
645 for(Int_t iVZERO(0); iVZERO < 64; iVZERO++) {
646 Double_t phi(TMath::PiOver4()*(.5+iVZERO%8)), /* eta(0), */ weight(InputEvent()->GetVZEROEqMultiplicity(iVZERO));
647 // (iVZERO<32) ? eta = -3.45+.5*(iVZERO/8) : eta = 4.8-.6*((iVZERO/8)-4);
649 qxa2 += weight*TMath::Cos(2.*phi);
650 qya2 += weight*TMath::Sin(2.*phi);
651 qxa3 += weight*TMath::Cos(3.*phi);
652 qya3 += weight*TMath::Sin(3.*phi);
655 qxc2 += weight*TMath::Cos(2.*phi);
656 qyc2 += weight*TMath::Sin(2.*phi);
657 qxc3 += weight*TMath::Cos(3.*phi);
658 qyc3 += weight*TMath::Sin(3.*phi);
661 vzero[0][0] = .5*TMath::ATan2(qya2, qxa2);
662 vzero[1][0] = .5*TMath::ATan2(qyc2, qxc2);
663 vzero[0][1] = (1./3.)*TMath::ATan2(qya3, qxa3);
664 vzero[1][1] = (1./3.)*TMath::ATan2(qyc3, qxc3);
666 //_____________________________________________________________________________
667 void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneTPC(Double_t* tpc)
669 // grab the TPC event plane
670 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
671 fNAcceptedTracks = 0; // reset the track counter
672 Double_t qx2(0), qy2(0); // for psi2
673 Double_t qx3(0), qy3(0); // for psi3
675 Float_t excludeInEta = -999;
676 if(fExcludeLeadingJetsFromFit > 0 ) { // remove the leading jet from ep estimate
677 AliEmcalJet* leadingJet(GetJetContainer()->GetLeadingJet());
678 if(leadingJet) excludeInEta = leadingJet->Eta();
680 Int_t iTracks(fTracks->GetEntriesFast());
681 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
682 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
683 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
684 if(fExcludeLeadingJetsFromFit > 0 &&( (TMath::Abs(track->Eta() - excludeInEta) < GetJetContainer()->GetJetRadius()*fExcludeLeadingJetsFromFit ) || (TMath::Abs(track->Eta()) - GetJetContainer()->GetJetRadius() - GetJetContainer()->GetJetEtaMax() ) > 0 )) continue;
686 qx2+= TMath::Cos(2.*track->Phi());
687 qy2+= TMath::Sin(2.*track->Phi());
688 qx3+= TMath::Cos(3.*track->Phi());
689 qy3+= TMath::Sin(3.*track->Phi());
692 tpc[0] = .5*TMath::ATan2(qy2, qx2);
693 tpc[1] = (1./3.)*TMath::ATan2(qy3, qx3);
695 //_____________________________________________________________________________
696 void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneCombinedVZERO(Double_t* comb) const
698 // grab the combined vzero event plane
699 // if(fUseV0EventPlaneFromHeader) { // use the vzero from the header
700 Double_t a(0), b(0), c(0), d(0);
701 comb[0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 10, 2, a, b);
702 comb[1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 10, 3, c, d);
704 // Double_t qx2a(0), qy2a(0), qx2c(0), qy2c(0), qx3a(0), qy3a(0), qx3c(0), qy3c(0);
705 // InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 2, qx2a, qy2a);
706 // InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 2, qx2c, qy2c);
707 // InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 3, qx3a, qy3a);
708 // InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 3, qx3c, qy3c);
709 // FIXME the rest of this function isn't impelmented yet (as of 01-07-2013)
710 // Double_t chi2A(-1), chi2C(-1), chi3A(-1), chi3C(-1); // get chi from the resolution
711 // Double_t qx2(chi2A*chi2A*qx2a+chi2C*chi2C*qx2c);
712 // Double_t qy2(chi2A*chi2A*qy2a+chi2C*chi2C*qy2c);
713 // Double_t qx3(chi3A*chi3A*qx3a+chi3C*chi3C*qx3c);
714 // Double_t qy3(chi3A*chi3A*qy3a+chi3C*chi3C*qy3c);
715 // comb[0] = .5*TMath::ATan2(qy2, qx2);
716 // comb[1] = (1./3.)*TMath::ATan2(qy3, qx3);
719 //_____________________________________________________________________________
720 void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneResolution(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc)
722 // fill the profiles for the resolution parameters
723 if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
724 fProfV2Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(2.*(vzero[0][0] - vzero[1][0])));
725 fProfV2Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(2.*(vzero[1][0] - vzero[0][0])));
726 fProfV2Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(2.*(vzero[0][0] - tpc[0])));
727 fProfV2Resolution[fInCentralitySelection]->Fill(5., TMath::Cos(2.*(tpc[0] - vzero[0][0])));
728 fProfV2Resolution[fInCentralitySelection]->Fill(6., TMath::Cos(2.*(vzero[1][0] - tpc[0])));
729 fProfV2Resolution[fInCentralitySelection]->Fill(7., TMath::Cos(2.*(tpc[0] - vzero[1][0])));
730 fProfV3Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(3.*(vzero[0][0] - vzero[1][0])));
731 fProfV3Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(3.*(vzero[1][0] - vzero[0][0])));
732 fProfV3Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(3.*(vzero[0][0] - tpc[0])));
733 fProfV3Resolution[fInCentralitySelection]->Fill(5., TMath::Cos(3.*(tpc[0] - vzero[0][0])));
734 fProfV3Resolution[fInCentralitySelection]->Fill(6., TMath::Cos(3.*(vzero[1][0] - tpc[0])));
735 fProfV3Resolution[fInCentralitySelection]->Fill(7., TMath::Cos(3.*(tpc[0] - vzero[1][0])));
736 // for the resolution of the combined vzero event plane, use two tpc halves as uncorrelated subdetectors
737 Double_t qx2a(0), qy2a(0); // for psi2a, negative eta
738 Double_t qx3a(0), qy3a(0); // for psi3a, negative eta
739 Double_t qx2b(0), qy2b(0); // for psi2a, positive eta
740 Double_t qx3b(0), qy3b(0); // for psi3a, positive eta
742 Int_t iTracks(fTracks->GetEntriesFast());
743 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
744 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
745 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
746 if(track->Eta() < 0 ) {
747 qx2a+= TMath::Cos(2.*track->Phi());
748 qy2a+= TMath::Sin(2.*track->Phi());
749 qx3a+= TMath::Cos(3.*track->Phi());
750 qy3a+= TMath::Sin(3.*track->Phi());
751 } else if (track->Eta() > 0) {
752 qx2b+= TMath::Cos(2.*track->Phi());
753 qy2b+= TMath::Sin(2.*track->Phi());
754 qx3b+= TMath::Cos(3.*track->Phi());
755 qy3b+= TMath::Sin(3.*track->Phi());
759 Double_t tpca2(.5*TMath::ATan2(qy2a, qx2a));
760 Double_t tpca3((1./3.)*TMath::ATan2(qy3a, qx3a));
761 Double_t tpcb2(.5*TMath::ATan2(qy2b, qx2b));
762 Double_t tpcb3((1./3.)*TMath::ATan2(qy3b, qx3b));
763 fProfV2Resolution[fInCentralitySelection]->Fill(8., TMath::Cos(2.*(vzeroComb[0] - tpca2)));
764 fProfV2Resolution[fInCentralitySelection]->Fill(9., TMath::Cos(2.*(vzeroComb[0] - tpcb2)));
765 fProfV2Resolution[fInCentralitySelection]->Fill(10., TMath::Cos(2.*(tpca2 - tpcb2)));
766 fProfV3Resolution[fInCentralitySelection]->Fill(8., TMath::Cos(3.*(vzeroComb[1] - tpca3)));
767 fProfV3Resolution[fInCentralitySelection]->Fill(9., TMath::Cos(3.*(vzeroComb[1] - tpcb3)));
768 fProfV3Resolution[fInCentralitySelection]->Fill(10., TMath::Cos(3.*(tpca3 - tpcb3)));
770 //_____________________________________________________________________________
771 Double_t AliAnalysisTaskRhoVnModulation::CalculateEventPlaneChi(Double_t resEP) const
773 // Get Chi from EP resolution (PRC 58 1671)
774 Double_t chi(2.), delta (1.);
775 for (Int_t i(0); i < 15; i++) {
776 chi = ((TMath::Sqrt(TMath::Pi()/2.)/2.)*chi*exp(-chi*chi/4.)*(TMath::BesselI0(chi*chi/4.)+TMath::BesselI1(chi* chi/4.)) < resEP) ? chi+delta : chi-delta;
781 //_____________________________________________________________________________
782 void AliAnalysisTaskRhoVnModulation::CalculateRandomCone(Float_t &pt, Float_t &eta, Float_t &phi,
783 AliEmcalJet* jet) const
786 if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
787 pt = 0; eta = 0; phi = 0;
788 Float_t etaJet(999), phiJet(999), dJet(999); // no jet: same as jet very far away
789 if(jet) { // if a leading jet is given, use its kinematic properties
793 // force the random cones to at least be within detector acceptance
794 Float_t minPhi(GetJetContainer()->GetJetPhiMin()), maxPhi(GetJetContainer()->GetJetPhiMax());
795 if(maxPhi > TMath::TwoPi()) maxPhi = TMath::TwoPi();
796 if(minPhi < 0 ) minPhi = 0;
797 Float_t diffRcRJR(TMath::Abs(fRandomConeRadius-GetJetContainer()->GetJetRadius()));
798 // construct a random cone and see if it's far away enough from the leading jet
799 Int_t attempts(1000);
802 eta = gRandom->Uniform(GetJetContainer()->GetJetEtaMin()+diffRcRJR, GetJetContainer()->GetJetEtaMax()-diffRcRJR);
803 phi = gRandom->Uniform(minPhi, maxPhi);
805 dJet = TMath::Sqrt((etaJet-eta)*(etaJet-eta)+(phiJet-phi)*(phiJet-phi));
806 if(dJet > fMinDisanceRCtoLJ) break;
807 else if (attempts == 0) {
808 printf(" > No random cone after 1000 tries, giving up ... !\n");
813 AliVParticle* track = fTracksCont->GetNextAcceptParticle(0);
815 Float_t etaTrack(track->Eta()), phiTrack(track->Phi()), ptTrack(track->Pt());
816 // get distance from cone
817 if(TMath::Abs(phiTrack-phi) > TMath::Abs(phiTrack - phi + TMath::TwoPi())) phiTrack+=TMath::TwoPi();
818 if(TMath::Abs(phiTrack-phi) > TMath::Abs(phiTrack - phi - TMath::TwoPi())) phiTrack-=TMath::TwoPi();
819 if(TMath::Sqrt(TMath::Abs((etaTrack-eta)*(etaTrack-eta)+(phiTrack-phi)*(phiTrack-phi))) <= fRandomConeRadius) pt+=ptTrack;
820 track = fTracksCont->GetNextAcceptParticle();
824 //_____________________________________________________________________________
825 Double_t AliAnalysisTaskRhoVnModulation::CalculateQC2(Int_t harm) {
826 // get the second order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho
827 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
828 Double_t reQ(0), imQ(0), modQ(0), M11(0), M(0);
829 if(fUsePtWeight) { // for the weighted 2-nd order q-cumulant
830 QCnQnk(harm, 1, reQ, imQ); // get the weighted 2-nd order q-vectors
831 modQ = reQ*reQ+imQ*imQ; // get abs Q-squared
832 M11 = QCnM11(); // equals S2,1 - S1,2
833 return (M11 > 0) ? ((modQ - QCnS(1,2))/M11) : -999;
834 } // else return the non-weighted 2-nd order q-cumulant
835 QCnQnk(harm, 0, reQ, imQ); // get the non-weighted 2-nd order q-vectors
836 modQ = reQ*reQ+imQ*imQ; // get abs Q-squared
838 return (M > 1) ? (modQ - M)/(M*(M-1)) : -999;
840 //_____________________________________________________________________________
841 Double_t AliAnalysisTaskRhoVnModulation::CalculateQC4(Int_t harm) {
842 // get the fourth order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho
843 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
844 Double_t reQn1(0), imQn1(0), reQ2n2(0), imQ2n2(0), reQn3(0), imQn3(0), M1111(0), M(0);
845 Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0); // terms of the calculation
846 if(fUsePtWeight) { // for the weighted 4-th order q-cumulant
847 QCnQnk(harm, 1, reQn1, imQn1);
848 QCnQnk(harm*2, 2, reQ2n2, imQ2n2);
849 QCnQnk(harm, 3, reQn3, imQn3);
850 // fill in the terms ...
851 a = (reQn1*reQn1+imQn1*imQn1)*(reQn1*reQn1+imQn1*imQn1);
852 b = reQ2n2*reQ2n2 + imQ2n2*imQ2n2;
853 c = -2.*(reQ2n2*reQn1*reQn1-reQ2n2*imQn1*imQn1+2.*imQ2n2*reQn1*imQn1);
854 d = 8.*(reQn3*reQn1+imQn3*imQn1);
855 e = -4.*QCnS(1,2)*(reQn1*reQn1+imQn1*imQn1);
859 return (M1111 > 0) ? (a+b+c+d+e+f+g)/M1111 : -999;
860 } // else return the unweighted case
861 Double_t reQn(0), imQn(0), reQ2n(0), imQ2n(0);
862 QCnQnk(harm, 0, reQn, imQn);
863 QCnQnk(harm*2, 0, reQ2n, imQ2n);
864 // fill in the terms ...
866 if(M < 4) return -999;
867 a = (reQn*reQn+imQn*imQn)*(reQn*reQn+imQn*imQn);
868 b = reQ2n*reQ2n + imQ2n*imQ2n;
869 c = -2.*(reQ2n*reQn*reQn-reQ2n*imQn*imQn+2.*imQ2n*reQn*imQn);
870 e = -4.*(M-2)*(reQn*reQn+imQn*imQn);
872 return (a+b+c+e+f)/(M*(M-1)*(M-2)*(M-3));
874 //_____________________________________________________________________________
875 void AliAnalysisTaskRhoVnModulation::QCnQnk(Int_t n, Int_t k, Double_t &reQ, Double_t &imQ) {
876 // get the weighted n-th order q-vector, pass real and imaginary part as reference
877 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
879 fNAcceptedTracksQCn = 0;
880 Int_t iTracks(fTracks->GetEntriesFast());
881 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
882 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
883 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
884 fNAcceptedTracksQCn++;
885 // for the unweighted case, k equals zero and the weight doesn't contribute to the equation below
886 reQ += TMath::Power(track->Pt(), k) * TMath::Cos(((double)n)*track->Phi());
887 imQ += TMath::Power(track->Pt(), k) * TMath::Sin(((double)n)*track->Phi());
890 //_____________________________________________________________________________
891 void AliAnalysisTaskRhoVnModulation::QCnDiffentialFlowVectors(
892 TClonesArray* pois, TArrayD* ptBins, Bool_t vpart, Double_t* repn, Double_t* impn,
893 Double_t *mp, Double_t *reqn, Double_t *imqn, Double_t* mq, Int_t n)
895 // get unweighted differential flow vectors
896 Int_t iPois(pois->GetEntriesFast());
898 for(Int_t i(0); i < iPois; i++) {
899 for(Int_t ptBin(0); ptBin < ptBins->GetSize()-1; ptBin++) {
900 AliVTrack* poi = static_cast<AliVTrack*>(pois->At(i));
901 if(PassesCuts(poi)) {
902 if(poi->Pt() >= ptBins->At(ptBin) && poi->Pt() < ptBins->At(ptBin+1)) {
903 // fill the flow vectors assuming that all poi's are in the rp selection (true by design)
904 repn[ptBin]+=TMath::Cos(((double)n)*poi->Phi());
905 impn[ptBin]+=TMath::Sin(((double)n)*poi->Phi());
907 reqn[ptBin]+=TMath::Cos(((double)n)*poi->Phi());
908 imqn[ptBin]+=TMath::Sin(((double)n)*poi->Phi());
915 for(Int_t i(0); i < iPois; i++) {
916 for(Int_t ptBin(0); ptBin < ptBins->GetSize()-1; ptBin++) {
917 AliEmcalJet* poi = static_cast<AliEmcalJet*>(pois->At(i));
918 if(PassesCuts(poi)) {
919 Double_t pt(poi->Pt()-poi->Area()*fLocalRho->GetLocalVal(poi->Phi(), GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
920 if(pt >= ptBins->At(ptBin) && pt < ptBins->At(ptBin+1)) {
921 repn[ptBin]+=TMath::Cos(((double)n)*poi->Phi());
922 impn[ptBin]+=TMath::Sin(((double)n)*poi->Phi());
923 mp[ptBin]++; // qn isn't filled, no overlap between poi's and rp's
930 //_____________________________________________________________________________
931 Double_t AliAnalysisTaskRhoVnModulation::QCnS(Int_t i, Int_t j) {
932 // get the weighted ij-th order autocorrelation correction
933 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
934 if(!fTracks || i <= 0 || j <= 0) return -999;
935 Int_t iTracks(fTracks->GetEntriesFast());
937 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
938 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
939 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
940 Sij+=TMath::Power(track->Pt(), j);
942 return TMath::Power(Sij, i);
944 //_____________________________________________________________________________
945 Double_t AliAnalysisTaskRhoVnModulation::QCnM() {
946 // get multiplicity for unweighted q-cumulants. function QCnQnk should be called first
947 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
948 return (Double_t) fNAcceptedTracksQCn;
950 //_____________________________________________________________________________
951 Double_t AliAnalysisTaskRhoVnModulation::QCnM11() {
952 // get multiplicity weights for the weighted two particle cumulant
953 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
954 return (QCnS(2,1) - QCnS(1,2));
956 //_____________________________________________________________________________
957 Double_t AliAnalysisTaskRhoVnModulation::QCnM1111() {
958 // get multiplicity weights for the weighted four particle cumulant
959 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
960 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));
962 //_____________________________________________________________________________
963 Bool_t AliAnalysisTaskRhoVnModulation::QCnRecovery(Double_t psi2, Double_t psi3) {
964 // decides how to deal with the situation where c2 or c3 is negative
965 // returns kTRUE depending on whether or not a modulated rho is used for the jet background
966 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
967 if(TMath::AreEqualAbs(fFitModulation->GetParameter(3), .0, 1e-10) && TMath::AreEqualAbs(fFitModulation->GetParameter(7), .0,1e-10)) {
968 fFitModulation->SetParameter(7, 0);
969 fFitModulation->SetParameter(3, 0);
970 fFitModulation->SetParameter(0, fLocalRho->GetVal());
971 return kTRUE; // v2 and v3 have physical null values
973 switch (fQCRecovery) {
974 case kFixedRho : { // roll back to the original rho
975 fFitModulation->SetParameter(7, 0);
976 fFitModulation->SetParameter(3, 0);
977 fFitModulation->SetParameter(0, fLocalRho->GetVal());
978 return kFALSE; // rho is forced to be fixed
981 Double_t c2(fFitModulation->GetParameter(3));
982 Double_t c3(fFitModulation->GetParameter(7));
983 if( c2 < 0 ) c2 = -1.*TMath::Sqrt(-1.*c2);
984 if( c3 < 0 ) c3 = -1.*TMath::Sqrt(-1.*c3);
985 fFitModulation->SetParameter(3, c2);
986 fFitModulation->SetParameter(7, c3);
987 return kTRUE; // is this a physical quantity ?
990 fitModulationType tempType(fFitModulationType); // store temporarily
991 fFitModulationType = kCombined;
992 fFitModulation->SetParameter(7, 0);
993 fFitModulation->SetParameter(3, 0);
994 Bool_t pass(CorrectRho(psi2, psi3)); // do the fit and all quality checks
995 fFitModulationType = tempType; // roll back for next event
998 default : return kFALSE;
1002 //_____________________________________________________________________________
1003 Bool_t AliAnalysisTaskRhoVnModulation::CorrectRho(Double_t psi2, Double_t psi3)
1005 // get rho' -> rho(phi)
1006 // two routines are available, both can be used with or without pt weights
1007 // [1] get vn from q-cumulants or as an integrated value from a user supplied histogram
1008 // in case of cumulants, both cumulants and vn values are stored. in both cases, v2 and v3
1009 // are expected. a check is performed to see if rho has no negative local minimum
1010 // for full description, see Phys. Rev. C 83, 044913
1011 // since the cn distribution has negative values, vn = sqrt(cn) can be imaginary sometimes
1012 // in this case one can either roll back to the 'original' rixed rho, do a fit for vn or take use
1013 // vn = - sqrt(|cn|)
1014 // [2] fitting a fourier expansion to the de/dphi distribution
1015 // the fit can be done with either v2, v3 or a combination.
1016 // in all cases, a cut can be made on the p-value of the chi-squared value of the fit
1017 // and a check can be performed to see if rho has no negative local minimum
1018 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1019 switch (fFitModulationType) { // for approaches where no fitting is required
1021 fFitModulation->FixParameter(4, psi2);
1022 fFitModulation->FixParameter(6, psi3);
1023 fFitModulation->FixParameter(3, CalculateQC2(2)); // set here with cn, vn = sqrt(cn)
1024 fFitModulation->FixParameter(7, CalculateQC2(3));
1025 // first fill the histos of the raw cumulant distribution
1026 if (fUsePtWeight) { // use weighted weights
1027 Double_t dQCnM11 = (fNoEventWeightsForQC) ? 1. : QCnM11();
1028 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3), dQCnM11);
1029 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7), dQCnM11);
1031 Double_t dQCnM = (fNoEventWeightsForQC) ? 2. : QCnM();
1032 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3), dQCnM*(dQCnM-1));
1033 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7), dQCnM*(dQCnM-1));
1035 // then see if one of the cn value is larger than zero and vn is readily available
1036 if(fFitModulation->GetParameter(3) > 0 && fFitModulation->GetParameter(7) > 0) {
1037 fFitModulation->FixParameter(3, TMath::Sqrt(fFitModulation->GetParameter(3)));
1038 fFitModulation->FixParameter(7, TMath::Sqrt(fFitModulation->GetParameter(7)));
1039 } else if (!QCnRecovery(psi2, psi3)) return kFALSE; // try to recover the cumulant, this will set v2 and v3
1040 if(fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) { // general check
1041 fFitModulation->SetParameter(7, 0);
1042 fFitModulation->SetParameter(3, 0);
1043 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1049 fFitModulation->FixParameter(4, psi2);
1050 fFitModulation->FixParameter(6, psi3);
1051 fFitModulation->FixParameter(3, CalculateQC4(2)); // set here with cn, vn = sqrt(cn)
1052 fFitModulation->FixParameter(7, CalculateQC4(3));
1053 // first fill the histos of the raw cumulant distribution
1054 if (fUsePtWeight) { // use weighted weights
1055 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3)/*, QCnM1111()*/);
1056 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7)/*, QCnM1111()*/);
1058 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3)/*, QCnM1111()*/);
1059 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7)/*, QCnM1111()*/);
1061 // then see if one of the cn value is larger than zero and vn is readily available
1062 if(fFitModulation->GetParameter(3) > 0 && fFitModulation->GetParameter(7) > 0) {
1063 fFitModulation->FixParameter(3, TMath::Sqrt(fFitModulation->GetParameter(3)));
1064 fFitModulation->FixParameter(7, TMath::Sqrt(fFitModulation->GetParameter(7)));
1065 } else if (!QCnRecovery(psi2, psi3)) return kFALSE; // try to recover the cumulant, this will set v2 and v3
1066 if(fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) { // general check
1067 fFitModulation->SetParameter(7, 0);
1068 fFitModulation->SetParameter(3, 0);
1069 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1073 case kIntegratedFlow : {
1074 // use v2 and v3 values from an earlier iteration over the data
1075 fFitModulation->FixParameter(3, fUserSuppliedV2->GetBinContent(fUserSuppliedV2->GetXaxis()->FindBin(fCent)));
1076 fFitModulation->FixParameter(4, psi2);
1077 fFitModulation->FixParameter(6, psi3);
1078 fFitModulation->FixParameter(7, fUserSuppliedV3->GetBinContent(fUserSuppliedV3->GetXaxis()->FindBin(fCent)));
1079 if(fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) {
1080 fFitModulation->SetParameter(7, 0);
1081 fFitModulation->SetParameter(3, 0);
1082 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1089 TString detector("");
1090 switch (fDetectorType) {
1091 case kTPC : detector+="TPC";
1093 case kVZEROA : detector+="VZEROA";
1095 case kVZEROC : detector+="VZEROC";
1097 case kVZEROComb : detector+="VZEROComb";
1101 Int_t iTracks(fTracks->GetEntriesFast());
1102 Double_t excludeInEta = -999;
1103 Double_t excludeInPhi = -999;
1104 Double_t excludeInPt = -999;
1105 if(iTracks <= 0 || fLocalRho->GetVal() <= 0 ) return kFALSE; // no use fitting an empty event ...
1106 if(fExcludeLeadingJetsFromFit > 0 ) {
1107 AliEmcalJet* leadingJet(GetJetContainer()->GetLeadingJet());
1109 excludeInEta = leadingJet->Eta();
1110 excludeInPhi = leadingJet->Phi();
1111 excludeInPt = leadingJet->Pt();
1114 fHistSwap->Reset(); // clear the histogram
1116 if(fRebinSwapHistoOnTheFly) {
1117 if(fNAcceptedTracks < 49) fNAcceptedTracks = 49; // avoid aliasing effects
1118 _tempSwap = TH1F("_tempSwap", "_tempSwap", TMath::CeilNint(TMath::Sqrt(fNAcceptedTracks)), 0, TMath::TwoPi());
1119 if(fUsePtWeight) _tempSwap.Sumw2();
1121 else _tempSwap = *fHistSwap; // now _tempSwap holds the desired histo
1122 for(Int_t i(0); i < iTracks; i++) {
1123 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1124 if(fExcludeLeadingJetsFromFit > 0 &&( (TMath::Abs(track->Eta() - excludeInEta) < GetJetContainer()->GetJetRadius()*fExcludeLeadingJetsFromFit ) || (TMath::Abs(track->Eta()) - GetJetContainer()->GetJetRadius() - GetJetContainer()->GetJetEtaMax() ) > 0 )) continue;
1125 if(!PassesCuts(track) || track->Pt() > fSoftTrackMaxPt || track->Pt() < fSoftTrackMinPt) continue;
1126 if(fUsePtWeight) _tempSwap.Fill(track->Phi(), track->Pt());
1127 else _tempSwap.Fill(track->Phi());
1129 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1130 switch (fFitModulationType) {
1131 case kNoFit : { fFitModulation->FixParameter(0, fLocalRho->GetVal() );
1134 fFitModulation->FixParameter(4, psi2);
1137 fFitModulation->FixParameter(4, psi3);
1140 fFitModulation->FixParameter(4, psi2);
1141 fFitModulation->FixParameter(6, psi3);
1143 case kFourierSeries : {
1144 // in this approach, an explicit calculation will be made of vn = sqrt(xn^2+yn^2)
1145 // where x[y] = Integrate[r(phi)cos[sin](n phi)dphi, 0, 2pi]
1146 Double_t cos2(0), sin2(0), cos3(0), sin3(0), sumPt(0);
1147 for(Int_t i(0); i < iTracks; i++) {
1148 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1149 if(!PassesCuts(track) || track->Pt() > fSoftTrackMaxPt || track->Pt() < fSoftTrackMinPt) continue;
1150 sumPt += track->Pt();
1151 cos2 += track->Pt()*TMath::Cos(2*PhaseShift(track->Phi()-psi2));
1152 sin2 += track->Pt()*TMath::Sin(2*PhaseShift(track->Phi()-psi2));
1153 cos3 += track->Pt()*TMath::Cos(3*PhaseShift(track->Phi()-psi3));
1154 sin3 += track->Pt()*TMath::Sin(3*PhaseShift(track->Phi()-psi3));
1156 fFitModulation->SetParameter(3, TMath::Sqrt(cos2*cos2+sin2*sin2)/fLocalRho->GetVal());
1157 fFitModulation->SetParameter(4, psi2);
1158 fFitModulation->SetParameter(6, psi3);
1159 fFitModulation->SetParameter(7, TMath::Sqrt(cos3*cos3+sin3*sin3)/fLocalRho->GetVal());
1163 _tempSwap.Fit(fFitModulation, fFitModulationOptions.Data(), "", 0, TMath::TwoPi());
1164 // the quality of the fit is evaluated from 1 - the cdf of the chi square distribution
1165 Double_t CDF(1.-ChiSquareCDF(fFitModulation->GetNDF(), fFitModulation->GetChisquare()));
1166 fHistPvalueCDF->Fill(CDF);
1167 if(CDF > fMinPvalue && CDF < fMaxPvalue && ( fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) > 0)) { // fit quality
1168 // for LOCAL didactic purposes, save the best and the worst fits
1169 // this routine can produce a lot of output histograms (it's not memory 'safe') and will not work on GRID
1170 // since the output will become unmergeable (i.e. different nodes may produce conflicting output)
1171 switch (fRunModeType) {
1173 if(fRandom->Uniform(0, 100) > fPercentageOfFits) break;
1174 static Int_t didacticCounterBest(0);
1175 TProfile* didacticProfile = (TProfile*)_tempSwap.Clone(Form("Fit_%i_1-CDF_%.3f_cen_%i_%s", didacticCounterBest, CDF, fInCentralitySelection, detector.Data()));
1176 TF1* didactifFit = (TF1*)fFitModulation->Clone(Form("fit_%i_CDF_%.3f_cen_%i_%s", didacticCounterBest, CDF, fInCentralitySelection, detector.Data()));
1177 didacticProfile->GetListOfFunctions()->Add(didactifFit);
1178 fOutputListGood->Add(didacticProfile);
1179 didacticCounterBest++;
1180 TH2F* didacticSurface = BookTH2F(Form("surface_%s", didacticProfile->GetName()), "#phi", "#eta", 50, 0, TMath::TwoPi(), 50, -1, 1, -1, kFALSE);
1181 for(Int_t i(0); i < iTracks; i++) {
1182 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1183 if(PassesCuts(track)) {
1184 if(fUsePtWeight) didacticSurface->Fill(track->Phi(), track->Eta(), track->Pt());
1185 else didacticSurface->Fill(track->Phi(), track->Eta());
1188 if(fExcludeLeadingJetsFromFit) { // visualize the excluded region
1189 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);
1190 f2->SetParameters(excludeInPt/3.,excludeInPhi,.1,excludeInEta,.1);
1191 didacticSurface->GetListOfFunctions()->Add(f2);
1193 fOutputListGood->Add(didacticSurface);
1197 } else { // if the fit is of poor quality revert to the original rho estimate
1198 switch (fRunModeType) { // again see if we want to save the fit
1200 static Int_t didacticCounterWorst(0);
1201 if(fRandom->Uniform(0, 100) > fPercentageOfFits) break;
1202 TProfile* didacticProfile = (TProfile*)_tempSwap.Clone(Form("Fit_%i_1-CDF_%.3f_cen_%i_%s", didacticCounterWorst, CDF, fInCentralitySelection, detector.Data() ));
1203 TF1* didactifFit = (TF1*)fFitModulation->Clone(Form("fit_%i_p_%.3f_cen_%i_%s", didacticCounterWorst, CDF, fInCentralitySelection, detector.Data()));
1204 didacticProfile->GetListOfFunctions()->Add(didactifFit);
1205 fOutputListBad->Add(didacticProfile);
1206 didacticCounterWorst++;
1210 switch (fFitModulationType) {
1211 case kNoFit : break; // nothing to do
1212 case kCombined : fFitModulation->SetParameter(7, 0); // no break
1213 case kFourierSeries : fFitModulation->SetParameter(7, 0); // no break
1214 default : { // needs to be done if there was a poor fit
1215 fFitModulation->SetParameter(3, 0);
1216 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1219 return kFALSE; // return false if the fit is rejected
1223 //_____________________________________________________________________________
1224 Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(AliVEvent* event)
1227 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1228 if(!event || !AliAnalysisTaskEmcal::IsEventSelected()) return kFALSE;
1229 if(fSemiCentralInclusive && ! (event->GetTriggerMask() & (ULong64_t(1)<<7))) return kFALSE;
1230 if(TMath::Abs(InputEvent()->GetPrimaryVertex()->GetZ()) > 10.) return kFALSE;
1231 // aod and esd specific checks
1232 switch (fDataType) {
1234 AliESDEvent* esdEvent = static_cast<AliESDEvent*>(InputEvent());
1235 if( (!esdEvent) || (TMath::Abs(esdEvent->GetPrimaryVertexSPD()->GetZ() - esdEvent->GetPrimaryVertex()->GetZ()) > .5) ) return kFALSE;
1238 AliAODEvent* aodEvent = static_cast<AliAODEvent*>(InputEvent());
1239 if( (!aodEvent) || (TMath::Abs(aodEvent->GetPrimaryVertexSPD()->GetZ() - aodEvent->GetPrimaryVertex()->GetZ()) > .5) ) return kFALSE;
1243 fCent = InputEvent()->GetCentrality()->GetCentralityPercentile("V0M");
1244 if(fCent <= fCentralityClasses->At(0) || fCent >= fCentralityClasses->At(fCentralityClasses->GetSize()-1) || TMath::Abs(fCent-InputEvent()->GetCentrality()->GetCentralityPercentile("TRK")) > 5.) return kFALSE;
1245 // determine centrality class
1246 fInCentralitySelection = -1;
1247 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) {
1248 if(fCent >= fCentralityClasses->At(i) && fCent <= fCentralityClasses->At(1+i)) {
1249 fInCentralitySelection = i;
1252 if(fInCentralitySelection<0) return kFALSE; // should be null op
1253 if(fExplicitOutlierCut == 2010 || fExplicitOutlierCut == 2011) {
1254 if(!PassesCuts(fExplicitOutlierCut)) return kFALSE;
1256 if(fRho->GetVal() <= 0 ) return kFALSE;
1257 if(fTracks->GetEntries() < 1) return kFALSE;
1260 //_____________________________________________________________________________
1261 Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(Int_t year)
1263 // additional centrality cut based on relation between tpc and global multiplicity
1264 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1265 AliAODEvent* event(dynamic_cast<AliAODEvent*>(InputEvent()));
1266 if(!event) return kFALSE;
1267 Int_t multTPC(0), multGlob(0), nTracks(InputEvent()->GetNumberOfTracks());
1268 for(Int_t iTracks = 0; iTracks < nTracks; iTracks++) {
1269 AliAODTrack* track = event->GetTrack(iTracks);
1270 if(!track) continue;
1271 if (!track || track->Pt() < .2 || track->Pt() > 5.0 || TMath::Abs(track->Eta()) > .8 || track->GetTPCNcls() < 70 || !track->GetDetPid() || track->GetDetPid()->GetTPCsignal() < 10.0) continue; // general quality cut
1272 if (track->TestFilterBit(1) && track->Chi2perNDF() > 0.2) multTPC++;
1273 if (!track->TestFilterBit(16) || track->Chi2perNDF() < 0.1) continue;
1274 Double_t b[2] = {-99., -99.};
1275 Double_t bCov[3] = {-99., -99., -99.};
1276 if (track->PropagateToDCA(event->GetPrimaryVertex(), event->GetMagneticField(), 100., b, bCov) && TMath::Abs(b[0]) < 0.3 && TMath::Abs(b[1]) < 0.3) multGlob++;
1278 if(year == 2010 && multTPC > (-40.3+1.22*multGlob) && multTPC < (32.1+1.59*multGlob)) return kTRUE;
1279 if(year == 2011 && multTPC > (-36.73 + 1.48*multGlob) && multTPC < (62.87 + 1.78*multGlob)) return kTRUE;
1282 //_____________________________________________________________________________
1283 Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(const AliVCluster* cluster) const
1286 if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1287 if(!cluster) return kFALSE;
1290 //_____________________________________________________________________________
1291 void AliAnalysisTaskRhoVnModulation::FillHistogramsAfterSubtraction(Double_t psi2, Double_t psi3, Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc)
1294 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1295 FillTrackHistograms();
1296 /* FillClusterHistograms(); */
1297 FillJetHistograms(psi2, psi3);
1298 /* FillCorrectedClusterHistograms(); */
1299 if(fFillQAHistograms) FillEventPlaneHistograms(vzero, vzeroComb, tpc);
1300 FillRhoHistograms();
1301 FillDeltaPtHistograms(psi2, psi3);
1303 //_____________________________________________________________________________
1304 void AliAnalysisTaskRhoVnModulation::FillTrackHistograms() const
1306 // fill track histograms
1307 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1308 Int_t iTracks(fTracks->GetEntriesFast()), iAcceptedTracks(0);
1309 for(Int_t i(0); i < iTracks; i++) {
1310 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1311 if(!PassesCuts(track)) continue;
1313 fHistPicoTrackPt[fInCentralitySelection]->Fill(track->Pt());
1314 if(fFillQAHistograms) FillQAHistograms(track);
1316 fHistPicoTrackMult[fInCentralitySelection]->Fill(iAcceptedTracks);
1318 //_____________________________________________________________________________
1319 void AliAnalysisTaskRhoVnModulation::FillClusterHistograms() const
1321 // fill cluster histograms
1322 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1323 /* Int_t iClusters(fCaloClusters->GetEntriesFast());
1324 for(Int_t i(0); i < iClusters; i++) {
1325 AliVCluster* cluster = static_cast<AliVCluster*>(fCaloClusters->At(iClusters));
1326 if (!PassesCuts(cluster)) continue;
1327 TLorentzVector clusterLorentzVector;
1328 cluster->GetMomentum(clusterLorentzVector, const_cast<Double_t*>(fVertex));
1329 fHistClusterPt[fInCentralitySelection]->Fill(clusterLorentzVector.Pt());
1330 fHistClusterEta[fInCentralitySelection]->Fill(clusterLorentzVector.Eta());
1331 fHistClusterPhi[fInCentralitySelection]->Fill(clusterLorentzVector.Phi());
1335 //_____________________________________________________________________________
1336 void AliAnalysisTaskRhoVnModulation::FillCorrectedClusterHistograms() const
1338 // fill clusters after hadronic correction FIXME implement
1339 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1341 //_____________________________________________________________________________
1342 void AliAnalysisTaskRhoVnModulation::FillEventPlaneHistograms(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) const
1344 // fill event plane histograms
1345 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1346 fHistPsiControl->Fill(0.5, vzero[0][0]); // vzero a psi2
1347 fHistPsiControl->Fill(1.5, vzero[1][0]); // vzero c psi2
1348 fHistPsiControl->Fill(2.5, tpc[0]); // tpc psi 2
1349 fHistPsiControl->Fill(5.5, vzero[0][1]); // vzero a psi3
1350 fHistPsiControl->Fill(6.5, vzero[1][1]); // vzero b psi3
1351 fHistPsiControl->Fill(7.5, tpc[1]); // tpc psi 3
1352 fHistPsiVZEROA->Fill(vzero[0][0]);
1353 fHistPsiVZEROC->Fill(vzero[1][0]);
1354 fHistPsiVZERO->Fill(vzeroComb[0]);
1355 fHistPsiTPC->Fill(tpc[0]);
1356 fHistPsiSpread->Fill(0.5, TMath::Abs(vzero[0][0]-vzero[1][0]));
1357 fHistPsiSpread->Fill(1.5, TMath::Abs(vzero[0][0]-tpc[0]));
1358 fHistPsiSpread->Fill(2.5, TMath::Abs(vzero[1][0]-tpc[0]));
1359 // event plane vs centrality QA histo's to check recentering
1360 Double_t TRK(InputEvent()->GetCentrality()->GetCentralityPercentile("TRK"));
1361 Double_t V0M(InputEvent()->GetCentrality()->GetCentralityPercentile("V0M"));
1362 fHistPsiVZEROAV0M->Fill(V0M, vzero[0][0]);
1363 fHistPsiVZEROCV0M->Fill(V0M, vzero[1][0]);
1364 fHistPsiVZEROVV0M->Fill(V0M, vzeroComb[0]);
1365 fHistPsiTPCiV0M->Fill(V0M, tpc[0]);
1366 fHistPsiVZEROATRK->Fill(TRK, vzero[0][0]);
1367 fHistPsiVZEROCTRK->Fill(TRK, vzero[1][0]);
1368 fHistPsiVZEROTRK->Fill(TRK, vzeroComb[0]);
1369 fHistPsiTPCTRK->Fill(TRK, tpc[0]);
1371 //_____________________________________________________________________________
1372 void AliAnalysisTaskRhoVnModulation::FillRhoHistograms()
1374 // fill rho histograms
1375 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1376 fHistRhoPackage[fInCentralitySelection]->Fill(fLocalRho->GetVal()); // save the rho estimate from the emcal jet package
1377 // get multiplicity FIXME inefficient
1378 Int_t iJets(fJets->GetEntriesFast());
1379 Double_t rho(fLocalRho->GetLocalVal(TMath::Pi(), TMath::Pi(), fLocalRho->GetVal()));
1380 fHistRho[fInCentralitySelection]->Fill(rho);
1381 fHistRhoVsMult->Fill(fTracks->GetEntries(), rho);
1382 fHistRhoVsCent->Fill(fCent, rho);
1383 for(Int_t i(0); i < iJets; i++) {
1384 AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
1385 if(!PassesCuts(jet)) continue;
1386 fHistRhoAVsMult->Fill(fTracks->GetEntries(), rho * jet->Area());
1387 fHistRhoAVsCent->Fill(fCent, rho * jet->Area());
1390 //_____________________________________________________________________________
1391 void AliAnalysisTaskRhoVnModulation::FillDeltaPtHistograms(Double_t psi2, Double_t psi3) const
1393 // fill delta pt histograms
1394 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1396 AliEmcalJet* leadingJet(GetJetContainer()->GetLeadingJet());
1397 if(!leadingJet && fDebug > 0) printf(" > failed to retrieve leading jet ! < \n");
1398 const Float_t areaRC = fRandomConeRadius*fRandomConeRadius*TMath::Pi();
1399 // we're retrieved the leading jet, now get a random cone
1400 for(i = 0; i < fMaxCones; i++) {
1401 Float_t pt(0), eta(0), phi(0);
1402 // get a random cone without constraints on leading jet position
1403 CalculateRandomCone(pt, eta, phi, 0x0);
1405 if(fFillQAHistograms) fHistRCPhiEta[fInCentralitySelection]->Fill(phi, eta);
1406 fHistRhoVsRCPt[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC);
1407 fHistRCPt[fInCentralitySelection]->Fill(pt);
1408 fHistDeltaPtDeltaPhi2[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
1409 fHistDeltaPtDeltaPhi3[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
1411 // get a random cone excluding leading jet area
1412 CalculateRandomCone(pt, eta, phi, leadingJet);
1414 if(fFillQAHistograms) fHistRCPhiEtaExLJ[fInCentralitySelection]->Fill(phi, eta);
1415 fHistRhoVsRCPtExLJ[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal())*areaRC);
1416 fHistRCPtExLJ[fInCentralitySelection]->Fill(pt);
1417 fHistDeltaPtDeltaPhi2ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
1418 fHistDeltaPtDeltaPhi3ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt - areaRC*fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
1422 //_____________________________________________________________________________
1423 void AliAnalysisTaskRhoVnModulation::FillJetHistograms(Double_t psi2, Double_t psi3)
1425 // fill jet histograms
1426 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1427 Int_t iJets(fJets->GetEntriesFast());
1428 for(Int_t i(0); i < iJets; i++) {
1429 AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
1430 if(PassesCuts(jet)) {
1431 Double_t pt(jet->Pt()), area(jet->Area()), eta(jet->Eta()), phi(jet->Phi());
1432 Double_t rho(fLocalRho->GetLocalVal(phi, GetJetContainer()->GetJetRadius(), fLocalRho->GetVal()));
1433 fHistJetPtRaw[fInCentralitySelection]->Fill(pt);
1434 fHistJetPt[fInCentralitySelection]->Fill(pt-area*rho);
1435 if(fFillQAHistograms) fHistJetEtaPhi[fInCentralitySelection]->Fill(eta, phi);
1436 fHistJetPtArea[fInCentralitySelection]->Fill(pt-area*rho, area);
1437 fHistJetPsi2Pt[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt-area*rho);
1438 fHistJetPsi3Pt[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt-area*rho);
1439 fHistJetPtConstituents[fInCentralitySelection]->Fill(pt-area*rho, jet->Nch());
1440 fHistJetEtaRho[fInCentralitySelection]->Fill(eta, pt/area);
1441 if(fSubtractJetPt) jet->SetPtSub(pt-area*rho); // if requested, save the subtracted jet pt
1442 } else if(fSubtractJetPt) jet->SetPtSub(-999.);
1445 //_____________________________________________________________________________
1446 void AliAnalysisTaskRhoVnModulation::FillQAHistograms(AliVTrack* vtrack) const
1448 // fill qa histograms for pico tracks
1450 AliPicoTrack* track = static_cast<AliPicoTrack*>(vtrack);
1451 fHistRunnumbersPhi->Fill(fMappedRunNumber, track->Phi());
1452 fHistRunnumbersEta->Fill(fMappedRunNumber, track->Eta());
1453 Int_t type((int)(track->GetTrackType()));
1456 fHistPicoCat1[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
1459 fHistPicoCat2[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
1462 fHistPicoCat3[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
1467 //_____________________________________________________________________________
1468 void AliAnalysisTaskRhoVnModulation::FillQAHistograms(AliVEvent* vevent)
1470 // fill qa histograms for events
1472 fHistVertexz->Fill(vevent->GetPrimaryVertex()->GetZ());
1473 fHistCentrality->Fill(fCent);
1474 Int_t runNumber(InputEvent()->GetRunNumber());
1475 Int_t runs[] = {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, 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};
1476 for(fMappedRunNumber = 0; fMappedRunNumber < 64; fMappedRunNumber++) {
1477 if(runs[fMappedRunNumber]==runNumber) break;
1480 //_____________________________________________________________________________
1481 void AliAnalysisTaskRhoVnModulation::FillAnalysisSummaryHistogram() const
1483 // fill the analysis summary histrogram, saves all relevant analysis settigns
1484 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1485 fHistAnalysisSummary->GetXaxis()->SetBinLabel(2, "fJetRadius");
1486 fHistAnalysisSummary->SetBinContent(2, GetJetContainer()->GetJetRadius());
1487 fHistAnalysisSummary->GetXaxis()->SetBinLabel(3, "fJetEtaMin");
1488 fHistAnalysisSummary->SetBinContent(3, GetJetContainer()->GetJetEtaMin());
1489 fHistAnalysisSummary->GetXaxis()->SetBinLabel(4, "fJetEtaMax");
1490 fHistAnalysisSummary->SetBinContent(4, GetJetContainer()->GetJetEtaMax());
1491 fHistAnalysisSummary->GetXaxis()->SetBinLabel(5, "fJetPhiMin");
1492 fHistAnalysisSummary->SetBinContent(5, GetJetContainer()->GetJetPhiMin());
1493 fHistAnalysisSummary->GetXaxis()->SetBinLabel(6, "fJetPhiMax");
1494 fHistAnalysisSummary->SetBinContent(6, GetJetContainer()->GetJetPhiMin());
1495 fHistAnalysisSummary->GetXaxis()->SetBinLabel(16, "fForceBeamType");
1496 fHistAnalysisSummary->SetBinContent(16, fForceBeamType);
1497 fHistAnalysisSummary->GetXaxis()->SetBinLabel(17, "fMinCent");
1498 fHistAnalysisSummary->SetBinContent(17, fMinCent);
1499 fHistAnalysisSummary->GetXaxis()->SetBinLabel(18, "fMaxCent");
1500 fHistAnalysisSummary->SetBinContent(18, fMaxCent);
1501 fHistAnalysisSummary->GetXaxis()->SetBinLabel(19, "fMinVz");
1502 fHistAnalysisSummary->SetBinContent(19, fMinVz);
1503 fHistAnalysisSummary->GetXaxis()->SetBinLabel(20, "fMaxVz");
1504 fHistAnalysisSummary->SetBinContent(20, fMaxVz);
1505 fHistAnalysisSummary->GetXaxis()->SetBinLabel(21, "fOffTrigger");
1506 fHistAnalysisSummary->SetBinContent(21, fOffTrigger);
1507 fHistAnalysisSummary->GetXaxis()->SetBinLabel(33, "fRandomConeRadius");
1508 fHistAnalysisSummary->SetBinContent(33, fRandomConeRadius);
1509 fHistAnalysisSummary->GetXaxis()->SetBinLabel(34, "fitModulationType");
1510 fHistAnalysisSummary->SetBinContent(34, (int)fFitModulationType);
1511 fHistAnalysisSummary->GetXaxis()->SetBinLabel(35, "runModeType");
1512 fHistAnalysisSummary->SetBinContent(35, (int)fRunModeType);
1513 fHistAnalysisSummary->GetXaxis()->SetBinLabel(36, "data type");
1514 fHistAnalysisSummary->SetBinContent(36, (int)fDataType);
1515 fHistAnalysisSummary->GetXaxis()->SetBinLabel(37, "iterator");
1516 fHistAnalysisSummary->SetBinContent(37, 1.);
1517 fHistAnalysisSummary->GetXaxis()->SetBinLabel(38, "fMinPvalue");
1518 fHistAnalysisSummary->SetBinContent(38, fMinPvalue);
1519 fHistAnalysisSummary->GetXaxis()->SetBinLabel(39, "fMaxPvalue");
1520 fHistAnalysisSummary->SetBinContent(39, fMaxPvalue);
1521 fHistAnalysisSummary->GetXaxis()->SetBinLabel(40, "fExcludeLeadingJetsFromFit");
1522 fHistAnalysisSummary->SetBinContent(40, fExcludeLeadingJetsFromFit);
1523 fHistAnalysisSummary->GetXaxis()->SetBinLabel(41, "fRebinSwapHistoOnTheFly");
1524 fHistAnalysisSummary->SetBinContent(41, (int)fRebinSwapHistoOnTheFly);
1525 fHistAnalysisSummary->GetXaxis()->SetBinLabel(42, "fUsePtWeight");
1526 fHistAnalysisSummary->SetBinContent(42, (int)fUsePtWeight);
1527 fHistAnalysisSummary->GetXaxis()->SetBinLabel(43, "fMinLeadingHadronPt");
1528 fHistAnalysisSummary->SetBinContent(43, fMinLeadingHadronPt);
1529 fHistAnalysisSummary->GetXaxis()->SetBinLabel(44, "fExplicitOutlierCut");
1530 fHistAnalysisSummary->SetBinContent(44, fExplicitOutlierCut);
1531 fHistAnalysisSummary->GetXaxis()->SetBinLabel(45, "fLocalJetMinEta");
1532 fHistAnalysisSummary->SetBinContent(45,fLocalJetMinEta );
1533 fHistAnalysisSummary->GetXaxis()->SetBinLabel(46, "fLocalJetMaxEta");
1534 fHistAnalysisSummary->SetBinContent(46, fLocalJetMaxEta);
1535 fHistAnalysisSummary->GetXaxis()->SetBinLabel(47, "fLocalJetMinPhi");
1536 fHistAnalysisSummary->SetBinContent(47, fLocalJetMinPhi);
1537 fHistAnalysisSummary->GetXaxis()->SetBinLabel(48, "fLocalJetMaxPhi");
1538 fHistAnalysisSummary->SetBinContent(48, fLocalJetMaxPhi);
1539 fHistAnalysisSummary->GetXaxis()->SetBinLabel(49, "fSoftTrackMinPt");
1540 fHistAnalysisSummary->SetBinContent(49, fSoftTrackMinPt);
1541 fHistAnalysisSummary->GetXaxis()->SetBinLabel(50, "fSoftTrackMaxPt");
1542 fHistAnalysisSummary->SetBinContent(50, fSoftTrackMaxPt);
1543 fHistAnalysisSummary->GetXaxis()->SetBinLabel(51, "fMaxCones");
1544 fHistAnalysisSummary->SetBinContent(51, fMaxCones);
1545 fHistAnalysisSummary->GetXaxis()->SetBinLabel(52, "fUseScaledRho");
1546 fHistAnalysisSummary->SetBinContent(52, fUseScaledRho);
1548 //_____________________________________________________________________________
1549 void AliAnalysisTaskRhoVnModulation::Terminate(Option_t *)
1552 switch (fRunModeType) {
1554 printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1555 if(fFillQAHistograms) {
1556 Int_t runs[] = {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, 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};
1557 for(Int_t i(0); i < 64; i++) {
1558 fHistRunnumbersPhi->GetXaxis()->SetBinLabel(i+1, Form("%i", runs[i]));
1559 fHistRunnumbersEta->GetXaxis()->SetBinLabel(i+1, Form("%i", runs[i]));
1561 fHistRunnumbersPhi->GetXaxis()->SetBinLabel(65, "undetermined");
1562 fHistRunnumbersEta->GetXaxis()->SetBinLabel(65, "undetermined");
1564 AliAnalysisTaskRhoVnModulation::Dump();
1565 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));
1570 //_____________________________________________________________________________
1571 void AliAnalysisTaskRhoVnModulation::SetModulationFit(TF1* fit)
1573 // set modulation fit
1574 if (fFitModulation) delete fFitModulation;
1575 fFitModulation = fit;
1577 //_____________________________________________________________________________
1578 TH1F* AliAnalysisTaskRhoVnModulation::GetResolutionFromOuptutFile(detectorType det, Int_t h, TArrayD* cen)
1580 // INTERFACE METHOD FOR OUTPUTFILE
1581 // get the detector resolution, user has ownership of the returned histogram
1583 printf(" > Please add fOutputList first < \n");
1587 (cen) ? r = new TH1F("R", "R", cen->GetSize()-1, cen->GetArray()) : r = new TH1F("R", "R", 10, 0, 10);
1588 if(!cen) r->GetXaxis()->SetTitle("number of centrality bin");
1589 r->GetYaxis()->SetTitle(Form("Resolution #Psi_{%i}", h));
1590 for(Int_t i(0); i < 10; i++) {
1591 TProfile* temp((TProfile*)fOutputList->FindObject(Form("fProfV%iResolution_%i", h, i)));
1593 Double_t a(temp->GetBinContent(3)), b(temp->GetBinContent(5)), c(temp->GetBinContent(7));
1594 Double_t d(temp->GetBinContent(9)), e(temp->GetBinContent(10)), f(temp->GetBinContent(11));
1595 Double_t _a(temp->GetBinError(3)), _b(temp->GetBinError(5)), _c(temp->GetBinError(7));
1596 Double_t _d(temp->GetBinError(9)), _e(temp->GetBinError(10)), _f(temp->GetBinError(11));
1597 if(a <= 0 || b <= 0 || c <= 0 || d <= 0 || e <= 0 || f <= 0) continue;
1600 r->SetBinContent(1+i, TMath::Sqrt((a*b)/c));
1601 if(i==0) r->SetNameTitle("VZEROA resolution", "VZEROA resolution");
1602 r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c));
1605 r->SetBinContent(1+i, TMath::Sqrt((a*c)/b));
1606 if(i==0) r->SetNameTitle("VZEROC resolution", "VZEROC resolution");
1607 r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c));
1610 r->SetBinContent(1+i, TMath::Sqrt((b*c)/a));
1611 if(i==0) r->SetNameTitle("TPC resolution", "TPC resolution");
1612 r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c));
1615 r->SetBinContent(1+i, TMath::Sqrt((d*e)/f));
1616 if(i==0) r->SetNameTitle("VZEROComb resolution", "VZEROComb resolution");
1617 r->SetBinError(1+i, TMath::Sqrt(_d*_d+_e*_e+_f*_f));
1624 //_____________________________________________________________________________
1625 TH1F* AliAnalysisTaskRhoVnModulation::CorrectForResolutionDiff(TH1F* v, detectorType det, TArrayD* cen, Int_t c, Int_t h)
1627 // INTERFACE METHOD FOR OUTPUT FILE
1628 // correct the supplied differential vn histogram v for detector resolution
1629 TH1F* r(GetResolutionFromOuptutFile(det, h, cen));
1631 printf(" > Couldn't find resolution < \n");
1634 Double_t res(1./r->GetBinContent(1+r->FindBin(c)));
1635 TF1* line = new TF1("line", "pol0", 0, 200);
1636 line->SetParameter(0, res);
1640 //_____________________________________________________________________________
1641 TH1F* AliAnalysisTaskRhoVnModulation::CorrectForResolutionInt(TH1F* v, detectorType det, TArrayD* cen, Int_t h)
1643 // INTERFACE METHOD FOR OUTPUT FILE
1644 // correct the supplied intetrated vn histogram v for detector resolution
1645 // integrated vn must have the same centrality binning as the resolotion correction
1646 TH1F* r(GetResolutionFromOuptutFile(det, h, cen));
1650 //_____________________________________________________________________________
1651 TH1F* AliAnalysisTaskRhoVnModulation::GetDifferentialQC(TProfile* refCumulants, TProfile* diffCumlants, TArrayD* ptBins, Int_t h)
1653 // get differential QC
1654 Double_t r(refCumulants->GetBinContent(h-1)); // v2 reference flow
1655 if(r > 0) r = TMath::Sqrt(r);
1656 TH1F* qc = new TH1F(Form("QC2v%i", h), Form("QC2v%i", h), ptBins->GetSize()-1, ptBins->GetArray());
1657 Double_t a(0), b(0), c(0); // dummy variables
1658 for(Int_t i(0); i < ptBins->GetSize(); i++) {
1660 a = diffCumlants->GetBinContent(1+i);
1661 b = diffCumlants->GetBinError(1+i);
1663 qc->SetBinContent(1+i, c);
1664 (a <= 0 || b <= 0) ? qc->SetBinError(1+i, b) : qc->SetBinError(1+i, TMath::Sqrt(c*c*b*b/(a*a)));
1670 //_____________________________________________________________________________