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>
58 class AliAnalysisTaskRhoVnModulation;
61 ClassImp(AliAnalysisTaskRhoVnModulation)
63 AliAnalysisTaskRhoVnModulation::AliAnalysisTaskRhoVnModulation() : AliAnalysisTaskEmcalJet("AliAnalysisTaskRhoVnModulation", kTRUE),
64 fDebug(0), fLocalInit(0), fAttachToEvent(kTRUE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fPtBinsHybrids(0), fPtBinsJets(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fLocalRhoName(Form("RhoFrom_%s", GetName())), fUseScaledRho(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fDetectorType(kTPC), fFitModulationOptions("QWLI"), fRunModeType(kGrid), fDataType(kESD), fRandom(0), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fMinPvalue(0.01), fMaxPvalue(1), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fLocalRho(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), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0) {
65 for(Int_t i(0); i < 10; i++) {
66 fProfV2Resolution[i] = 0;
67 fProfV3Resolution[i] = 0;
68 fHistPicoTrackPt[i] = 0;
69 fHistPicoTrackMult[i] = 0;
73 /* fHistClusterPt[i] = 0; */
74 /* fHistClusterPhi[i] = 0; */
75 /* fHistClusterEta[i] = 0; */
76 /* fHistClusterCorrPt[i] = 0; */
77 /* fHistClusterCorrPhi[i] = 0; */
78 /* fHistClusterCorrEta[i] = 0; */
79 fHistRhoPackage[i] = 0;
82 fHistRhoVsRCPt[i] = 0;
84 fHistDeltaPtDeltaPhi2[i] = 0;
85 fHistDeltaPtDeltaPhi3[i] = 0;
86 fHistRCPhiEtaExLJ[i] = 0;
87 fHistRhoVsRCPtExLJ[i] = 0;
89 fHistDeltaPtDeltaPhi2ExLJ[i] = 0;
90 fHistDeltaPtDeltaPhi3ExLJ[i] = 0;
91 /* fHistRCPhiEtaRand[i] = 0; */
92 /* fHistRhoVsRCPtRand[i] = 0; */
93 /* fHistRCPtRand[i] = 0; */
94 /* fHistDeltaPtDeltaPhi2Rand[i] = 0; */
95 /* fHistDeltaPtDeltaPhi3Rand[i] = 0; */
98 fHistJetEtaPhi[i] = 0;
99 fHistJetPtArea[i] = 0;
100 fHistJetPtConstituents[i] = 0;
101 fHistJetEtaRho[i] = 0;
102 fHistJetPsi2Pt[i] = 0;
103 fHistJetPsi3Pt[i] = 0;
105 // default constructor
107 //_____________________________________________________________________________
108 AliAnalysisTaskRhoVnModulation::AliAnalysisTaskRhoVnModulation(const char* name, runModeType type) : AliAnalysisTaskEmcalJet(name, kTRUE),
109 fDebug(0), fLocalInit(0), fAttachToEvent(kTRUE), fFillHistograms(kTRUE), fFillQAHistograms(kTRUE), fReduceBinsXByFactor(-1.), fReduceBinsYByFactor(-1.), fNoEventWeightsForQC(kTRUE), fCentralityClasses(0), fPtBinsHybrids(0), fPtBinsJets(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fLocalRhoName(Form("RhoFrom_%s", GetName())), fUseScaledRho(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fQCRecovery(kTryFit), fUsePtWeight(kTRUE), fDetectorType(kTPC), fFitModulationOptions("QWLI"), fRunModeType(type), fDataType(kESD), fRandom(0), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fMinPvalue(0.01), fMaxPvalue(1), fNameJetClones(0), fNamePicoTrackClones(0), fNameRho(0), fLocalRho(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), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0) {
110 for(Int_t i(0); i < 10; i++) {
111 fProfV2Resolution[i] = 0;
112 fProfV3Resolution[i] = 0;
113 fHistPicoTrackPt[i] = 0;
114 fHistPicoTrackMult[i] = 0;
115 fHistPicoCat1[i] = 0;
116 fHistPicoCat2[i] = 0;
117 fHistPicoCat3[i] = 0;
118 /* fHistClusterPt[i] = 0; */
119 /* fHistClusterPhi[i] = 0; */
120 /* fHistClusterEta[i] = 0; */
121 /* fHistClusterCorrPt[i] = 0; */
122 /* fHistClusterCorrPhi[i] = 0; */
123 /* fHistClusterCorrEta[i] = 0; */
124 fHistRhoPackage[i] = 0;
126 fHistRCPhiEta[i] = 0;
127 fHistRhoVsRCPt[i] = 0;
129 fHistDeltaPtDeltaPhi2[i] = 0;
130 fHistDeltaPtDeltaPhi3[i] = 0;
131 fHistRCPhiEtaExLJ[i] = 0;
132 fHistRhoVsRCPtExLJ[i] = 0;
133 fHistRCPtExLJ[i] = 0;
134 fHistDeltaPtDeltaPhi2ExLJ[i] = 0;
135 fHistDeltaPtDeltaPhi3ExLJ[i] = 0;
136 /* fHistRCPhiEtaRand[i] = 0; */
137 /* fHistRhoVsRCPtRand[i] = 0; */
138 /* fHistRCPtRand[i] = 0; */
139 /* fHistDeltaPtDeltaPhi2Rand[i] = 0; */
140 /* fHistDeltaPtDeltaPhi3Rand[i] = 0; */
141 fHistJetPtRaw[i] = 0;
143 fHistJetEtaPhi[i] = 0;
144 fHistJetPtArea[i] = 0;
145 fHistJetPtConstituents[i] = 0;
146 fHistJetEtaRho[i] = 0;
147 fHistJetPsi2Pt[i] = 0;
148 fHistJetPsi3Pt[i] = 0;
151 DefineInput(0, TChain::Class());
152 DefineOutput(1, TList::Class());
153 switch (fRunModeType) {
155 gStyle->SetOptFit(1);
156 DefineOutput(2, TList::Class());
157 DefineOutput(3, TList::Class());
159 default: fDebug = -1; // suppress debug info explicitely when not running locally
162 //_____________________________________________________________________________
163 AliAnalysisTaskRhoVnModulation::~AliAnalysisTaskRhoVnModulation()
166 if(fOutputList) delete fOutputList;
167 if(fOutputListGood) delete fOutputListGood;
168 if(fOutputListBad) delete fOutputListBad;
169 if(fFitModulation) delete fFitModulation;
170 if(fHistSwap) delete fHistSwap;
171 if(fCentralityClasses) delete fCentralityClasses;
173 //_____________________________________________________________________________
174 Bool_t AliAnalysisTaskRhoVnModulation::InitializeAnalysis()
176 // initialize the anaysis
177 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
178 if(fRandomConeRadius <= 0) fRandomConeRadius = fJetRadius;
179 if(fMaxCones <= 0) fMaxCones = TMath::Nint(1.8*TMath::TwoPi()/(TMath::Pi()*fRandomConeRadius*fRandomConeRadius));
180 if(fLocalJetMinEta > -10 && fLocalJetMaxEta > -10) SetJetEtaLimits(fLocalJetMinEta, fLocalJetMaxEta);
181 if(fLocalJetMinPhi > -10 && fLocalJetMaxPhi > -10) SetJetPhiLimits(fLocalJetMinPhi, fLocalJetMaxPhi);
182 if(fMinDisanceRCtoLJ==0) fMinDisanceRCtoLJ = .5*fJetRadius;
183 if(dynamic_cast<AliAODEvent*>(InputEvent())) fDataType = kAOD; // determine the datatype
184 else if(dynamic_cast<AliESDEvent*>(InputEvent())) fDataType = kESD;
185 fHistAnalysisSummary->SetBinContent(36, (int)fDataType);
186 if(!fRandom) fRandom = new TRandom3(0); // get a randomized if one hasn't been user-supplied
187 switch (fFitModulationType) {
188 case kNoFit : { SetModulationFit(new TF1("fix_kNoFit", "[0]", 0, TMath::TwoPi())); } break;
190 SetModulationFit(new TF1("fit_kV2", "[0]*([1]+[2]*[3]*TMath::Cos([2]*(x-[4])))", 0, TMath::TwoPi()));
191 fFitModulation->SetParameter(0, 0.); // normalization
192 fFitModulation->SetParameter(3, 0.2); // v2
193 fFitModulation->FixParameter(1, 1.); // constant
194 fFitModulation->FixParameter(2, 2.); // constant
197 SetModulationFit(new TF1("fit_kV3", "[0]*([1]+[2]*[3]*TMath::Cos([2]*(x-[4])))", 0, TMath::TwoPi()));
198 fFitModulation->SetParameter(0, 0.); // normalization
199 fFitModulation->SetParameter(3, 0.2); // v3
200 fFitModulation->FixParameter(1, 1.); // constant
201 fFitModulation->FixParameter(2, 3.); // constant
203 default : { // for the combined fit, the 'direct fourier series' or the user supplied vn values we use v2 and v3
204 SetModulationFit(new TF1("fit_kCombined", "[0]*([1]+[2]*([3]*TMath::Cos([2]*(x-[4]))+[7]*TMath::Cos([5]*(x-[6]))))", 0, TMath::TwoPi()));
205 fFitModulation->SetParameter(0, 0.); // normalization
206 fFitModulation->SetParameter(3, 0.2); // v2
207 fFitModulation->FixParameter(1, 1.); // constant
208 fFitModulation->FixParameter(2, 2.); // constant
209 fFitModulation->FixParameter(5, 3.); // constant
210 fFitModulation->SetParameter(7, 0.2); // v3
213 switch (fRunModeType) {
214 case kGrid : { fFitModulationOptions += "N0"; } break;
218 // unscaled rho has been retrieved by the parent class, now we retrieve rho scaled
219 fRho = dynamic_cast<AliRhoParameter*>(InputEvent()->FindListObject(Form("%s_Scaled", fRho->GetName())));
221 AliFatal(Form("%s: Couldn't find container for scaled rho. Aborting !", GetName()));
222 return kFALSE; // pointless, but coverity will want this return value ...
225 fLocalRho = new AliLocalRhoParameter(fLocalRhoName.Data(), 0);
227 if(!(InputEvent()->FindListObject(fLocalRho->GetName()))) {
228 InputEvent()->AddObject(fLocalRho);
230 AliFatal(Form("%s: Container with name %s already present. Aborting", GetName(), fLocalRho->GetName()));
233 FillAnalysisSummaryHistogram();
236 //_____________________________________________________________________________
237 TH1F* AliAnalysisTaskRhoVnModulation::BookTH1F(const char* name, const char* x, Int_t bins, Double_t min, Double_t max, Int_t c, Bool_t append)
239 // book a TH1F and connect it to the output container
240 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
241 if(fReduceBinsXByFactor > 0 ) bins = TMath::Nint(bins/fReduceBinsXByFactor);
242 if(!fOutputList) return 0x0;
244 if(c!=-1) { // format centrality dependent histograms accordingly
245 name = Form("%s_%i", name, c);
246 title += Form("_%i-%i", fCentralityClasses->At(c), fCentralityClasses->At(1+c));
248 title += Form(";%s;[counts]", x);
249 TH1F* histogram = new TH1F(name, title.Data(), bins, min, max);
251 if(append) fOutputList->Add(histogram);
254 //_____________________________________________________________________________
255 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)
257 // book a TH2F and connect it to the output container
258 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
259 if(fReduceBinsXByFactor > 0 ) binsx = TMath::Nint(binsx/fReduceBinsXByFactor);
260 if(fReduceBinsYByFactor > 0 ) binsy = TMath::Nint(binsy/fReduceBinsYByFactor);
261 if(!fOutputList) return 0x0;
263 if(c!=-1) { // format centrality dependent histograms accordingly
264 name = Form("%s_%i", name, c);
265 title += Form("_%i-%i", fCentralityClasses->At(c), fCentralityClasses->At(1+c));
267 title += Form(";%s;%s", x, y);
268 TH2F* histogram = new TH2F(name, title.Data(), binsx, minx, maxx, binsy, miny, maxy);
270 if(append) fOutputList->Add(histogram);
273 //_____________________________________________________________________________
274 void AliAnalysisTaskRhoVnModulation::UserCreateOutputObjects()
276 // create output objects
277 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
278 fOutputList = new TList();
279 fOutputList->SetOwner(kTRUE);
280 if(!fCentralityClasses) { // classes must be defined at this point
281 Int_t c[] = {0, 20, 40, 60, 80, 100};
282 fCentralityClasses = new TArrayI(sizeof(c)/sizeof(c[0]), c);
285 fHistCentrality = BookTH1F("fHistCentrality", "centrality", 102, -2, 100);
286 fHistVertexz = BookTH1F("fHistVertexz", "vertex z (cm)", 100, -12, 12);
288 // pico track kinematics
289 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) {
290 fHistPicoTrackPt[i] = BookTH1F("fHistPicoTrackPt", "p_{t} [GeV/c]", 100, 0, 50, i);
291 fHistPicoTrackMult[i] = BookTH1F("fHistPicoTrackMult", "multiplicity", 100, 0, 5000, i);
292 if(fFillQAHistograms) {
293 fHistPicoCat1[i] = BookTH2F("fHistPicoCat1", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
294 fHistPicoCat2[i] = BookTH2F("fHistPicoCat2", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
295 fHistPicoCat3[i] = BookTH2F("fHistPicoCat3", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
298 /* fHistClusterPt[i] = BookTH1F("fHistClusterPt", "p_{t} [GeV/c]", 100, 0, 100, i); */
299 /* fHistClusterPhi[i] = BookTH1F("fHistClusterPhi", "#phi", 100, 0, TMath::TwoPi(), i); */
300 /* fHistClusterEta[i] = BookTH1F("fHistClusterEta", "#eta", 100, -5, 5); */
302 // emcal kinematics after hadronic correction
303 /* fHistClusterCorrPt[i] = BookTH1F("fHistClusterCorrPt", "p_{t} [GeV/c]", 100, 0, 100, i); */
304 /* fHistClusterCorrPhi[i] = BookTH1F("fHistClusterCorrPhi", "#phi", 100, 0, TMath::TwoPi(), i); */
305 /* fHistClusterCorrEta[i] = BookTH1F("fHistClusterCorrEta", "#eta", 100, -5, 5, i); */
308 // event plane estimates and quality
309 fHistPsiControl = new TProfile("fHistPsiControl", "fHistPsiControl", 10, 0, 10);
310 fHistPsiControl->Sumw2();
311 fHistPsiSpread = new TProfile("fHistPsiSpread", "fHistPsiSpread", 4, 0, 4);
312 fHistPsiSpread->Sumw2();
313 fHistPsiControl->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA}>");
314 fHistPsiControl->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC}>");
315 fHistPsiControl->GetXaxis()->SetBinLabel(3, "<#Psi_{2, TPC}>");
316 fHistPsiControl->GetXaxis()->SetBinLabel(4, "<#Psi_{2, TPC, #eta < 0}>");
317 fHistPsiControl->GetXaxis()->SetBinLabel(5, "<#Psi_{2, TPC, #eta > 0}>");
318 fHistPsiControl->GetXaxis()->SetBinLabel(6, "<#Psi_{3, VZEROA}>");
319 fHistPsiControl->GetXaxis()->SetBinLabel(7, "<#Psi_{3, VZEROC}>");
320 fHistPsiControl->GetXaxis()->SetBinLabel(8, "<#Psi_{3, TPC}>");
321 fHistPsiControl->GetXaxis()->SetBinLabel(9, "<#Psi_{3, TPC, #eta < 0}>");
322 fHistPsiControl->GetXaxis()->SetBinLabel(10, "<#Psi_{3, TPC, #eta > 0}>");
323 fHistPsiSpread->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA} - #Psi_{2, VZEROC}>");
324 fHistPsiSpread->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>");
325 fHistPsiSpread->GetXaxis()->SetBinLabel(3, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>");
326 fHistPsiSpread->GetXaxis()->SetBinLabel(4, "<#Psi_{2, TPC, #eta < 0} - #Psi_{2, TPC, #eta > 0}>");
327 fOutputList->Add(fHistPsiControl);
328 fOutputList->Add(fHistPsiSpread);
329 fHistPsiVZEROA = BookTH1F("fHistPsiVZEROA", "#Psi_{VZEROA}", 100, -.5*TMath::Pi(), .5*TMath::Pi());
330 fHistPsiVZEROC = BookTH1F("fHistPsiVZEROC", "#Psi_{VZEROC}", 100, -.5*TMath::Pi(), .5*TMath::Pi());
331 fHistPsiVZERO = BookTH1F("fHistPsiVZERO", "#Psi_{VZERO}", 100, -.5*TMath::Pi(), .5*TMath::Pi());
332 fHistPsiTPC = BookTH1F("fHistPsiTPC", "#Psi_{TPC}", 100, -.5*TMath::Pi(), .5*TMath::Pi());
334 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i ++) {
335 fHistRhoPackage[i] = BookTH1F("fHistRhoPackage", "#rho [GeV/c]", 100, 0, 150, i);
336 fHistRho[i] = BookTH1F("fHistRho", "#rho [GeV/c]", 100, 0, 150, i);
338 fHistRhoVsMult = BookTH2F("fHistRhoVsMult", "multiplicity", "#rho [GeV/c]", 100, 0, 4000, 100, 0, 250);
339 fHistRhoVsCent = BookTH2F("fHistRhoVsCent", "centrality", "#rho [GeV/c]", 100, 0, 100, 100, 0, 250);
340 fHistRhoAVsMult = BookTH2F("fHistRhoAVsMult", "multiplicity", "#rho * A (jet) [GeV/c]", 100, 0, 4000, 100, 0, 50);
341 fHistRhoAVsCent = BookTH2F("fHistRhoAVsCent", "centrality", "#rho * A (jet) [GeV/c]", 100, 0, 100, 100, 0, 50);
343 TString detector("");
344 switch (fDetectorType) {
345 case kTPC : detector+="TPC";
347 case kVZEROA : detector+="VZEROA";
349 case kVZEROC : detector+="VZEROC";
351 case kVZEROComb : detector+="VZEROComb";
355 // delta pt distributions
356 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i ++) {
357 if(fFillQAHistograms) fHistRCPhiEta[i] = BookTH2F("fHistRCPhiEta", "#phi (RC)", "#eta (RC)", 100, 0, TMath::TwoPi(), 100, -1, 1, i);
358 fHistRhoVsRCPt[i] = BookTH2F("fHistRhoVsRCPt", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i);
359 fHistRCPt[i] = BookTH1F("fHistRCPt", "p_{t} (RC) [GeV/c]", 130, -20, 150, i);
360 if(fFillQAHistograms) fHistRCPhiEtaExLJ[i] = BookTH2F("fHistRCPhiEtaExLJ", "#phi (RC)", "#eta (RC)", 100, 0, TMath::TwoPi(), 100, -1, 1, i);
361 fHistDeltaPtDeltaPhi2[i] = BookTH2F("fHistDeltaPtDeltaPhi2", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 25, 0, TMath::Pi(), 400, -50, 100, i);
362 fHistDeltaPtDeltaPhi3[i] = BookTH2F("fHistDeltaPtDeltaPhi3", Form("#phi - #Psi_{3, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 25, 0, TMath::TwoPi()/3., 400, -50, 100, i);
363 fHistRhoVsRCPtExLJ[i] = BookTH2F("fHistRhoVsRCPtExLJ", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i);
364 fHistRCPtExLJ[i] = BookTH1F("fHistRCPtExLJ", "p_{t} (RC) [GeV/c]", 130, -20, 150, i);
365 /* fHistRCPhiEtaRand[i] = BookTH2F("fHistRCPhiEtaRand", "#phi (RC)", "#eta (RC)", 100, 0, TMath::TwoPi(), 100, -1, 1, i); */
366 fHistDeltaPtDeltaPhi2ExLJ[i] = BookTH2F("fHistDeltaPtDeltaPhi2ExLJ", Form("#phi - #Psi_{2, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 25, 0, TMath::Pi(), 400, -50, 100, i);
367 fHistDeltaPtDeltaPhi3ExLJ[i] = BookTH2F("fHistDeltaPtDeltaPhi3ExLJ", Form("#phi - #Psi_{3, %s}", detector.Data()), "#delta p_{t} [GeV/c]", 25, 0, TMath::TwoPi()/3., 400, -50, 100, i);
368 /* fHistRhoVsRCPtRand[i] = BookTH2F("fHistRhoVsRCPtRand", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i); */
369 /* fHistRCPtRand[i] = BookTH1F("fHistRCPtRand", "p_{t} (RC) [GeV/c]", 130, -20, 150, i); */
370 /* fHistDeltaPtDeltaPhi2Rand[i] = BookTH2F("fHistDeltaPtDeltaPhi2Rand", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::Pi(), 100, -50, 100, i); */
371 /* fHistDeltaPtDeltaPhi3Rand[i] = BookTH2F("fHistDeltaPtDeltaPhi3Rand", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::TwoPi()/3., 100, -50, 100, i); */
372 // jet histograms (after kinematic cuts)
373 fHistJetPtRaw[i] = BookTH1F("fHistJetPtRaw", "p_{t} RAW [GeV/c]", 200, -50, 150, i);
374 fHistJetPt[i] = BookTH1F("fHistJetPt", "p_{t} [GeV/c]", 350, -100, 250, i);
375 if(fFillQAHistograms) fHistJetEtaPhi[i] = BookTH2F("fHistJetEtaPhi", "#eta", "#phi", 100, -1, 1, 100, 0, TMath::TwoPi(), i);
376 fHistJetPtArea[i] = BookTH2F("fHistJetPtArea", "p_{t} [GeV/c]", "Area", 175, -100, 250, 30, 0, 0.9, i);
377 fHistJetPtConstituents[i] = BookTH2F("fHistJetPtConstituents", "p_{t} [GeV/c]", "Area", 350, -100, 250, 60, 0, 150, i);
378 fHistJetEtaRho[i] = BookTH2F("fHistJetEtaRho", "#eta", "#rho", 100, -1, 1, 100, 0, 300, i);
379 // in plane and out of plane spectra
380 fHistJetPsi2Pt[i] = BookTH2F("fHistJetPsi2Pt", Form("#phi_{jet} - #Psi_{2, %s}", detector.Data()), "p_{t} [GeV/c]", 50, 0., TMath::Pi(), 350, -100, 250, i);
381 fHistJetPsi3Pt[i] = BookTH2F("fHistJetPsi3Pt", Form("#phi_{jet} - #Psi_{3, %s}", detector.Data()), "p_{t} [GeV/c]", 50, 0., TMath::TwoPi()/3., 350, -100, 250, i);
382 // profiles for all correlator permutations which are necessary to calculate each second and third order event plane resolution
383 fProfV2Resolution[i] = new TProfile(Form("fProfV2Resolution_%i", i), Form("fProfV2Resolution_%i", i), 11, -0.5, 10.5);
384 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(3, "<cos(2(#Psi_{VZEROA} - #Psi_{VZEROC}))>");
385 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(4, "<cos(2(#Psi_{VZEROC} - #Psi_{VZEROA}))>");
386 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(5, "<cos(2(#Psi_{VZEROA} - #Psi_{TPC}))>");
387 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(6, "<cos(2(#Psi_{TPC} - #Psi_{VZEROA}))>");
388 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(7, "<cos(2(#Psi_{VZEROC} - #Psi_{TPC}))>");
389 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(8, "<cos(2(#Psi_{TPC} - #Psi_{VZEROC}))>");
390 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(9, "<cos(2(#Psi_{VZERO} - #Psi_{TPC_A}))>");
391 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(10, "<cos(2(#Psi_{VZERO} - #Psi_{TPC_B}))>");
392 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(11, "<cos(2(#Psi_{TPC_A} - #Psi_{TPC_B}))>");
393 fOutputList->Add(fProfV2Resolution[i]);
394 fProfV3Resolution[i] = new TProfile(Form("fProfV3Resolution_%i", i), Form("fProfV3Resolution_%i", i), 11, -0.5, 10.5);
395 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(3, "<cos(3(#Psi_{VZEROA} - #Psi_{VZEROC}))>");
396 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(4, "<cos(3(#Psi_{VZEROC} - #Psi_{VZEROA}))>");
397 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(5, "<cos(3(#Psi_{VZEROA} - #Psi_{TPC}))>");
398 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(6, "<cos(3(#Psi_{TPC} - #Psi_{VZEROA}))>");
399 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(7, "<cos(3(#Psi_{VZEROC} - #Psi_{TPC}))>");
400 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(8, "<cos(3(#Psi_{TPC} - #Psi_{VZEROC}))>");
401 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(9, "<cos(3(#Psi_{VZERO} - #Psi_{TPC_A}))>");
402 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(10, "<cos(3(#Psi_{VZERO} - #Psi_{TPC_B}))>");
403 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(11, "<cos(3(#Psi_{TPC_A} - #Psi_{TPC_B}))>");
404 fOutputList->Add(fProfV3Resolution[i]);
406 // cdf and pdf of chisquare distribution
407 fHistPvaluePDF = BookTH1F("fHistPvaluePDF", "PDF #chi^{2}", 500, 0, 1);
408 fHistPvalueCDF = BookTH1F("fHistPvalueCDF", "CDF #chi^{2}", 500, 0, 1);
410 Float_t temp[fCentralityClasses->GetSize()];
411 for(Int_t i(0); i < fCentralityClasses->GetSize(); i++) temp[i] = fCentralityClasses->At(i);
412 fProfV2 = new TProfile("fProfV2", "fProfV2", fCentralityClasses->GetSize()-1, temp);
413 fProfV3 = new TProfile("fProfV3", "fProfV3", fCentralityClasses->GetSize()-1, temp);
414 fOutputList->Add(fProfV2);
415 fOutputList->Add(fProfV3);
416 switch (fFitModulationType) {
418 fProfV2Cumulant = new TProfile("fProfV2Cumulant", "fProfV2Cumulant", fCentralityClasses->GetSize()-1, temp);
419 fProfV3Cumulant = new TProfile("fProfV3Cumulant", "fProfV3Cumulant", fCentralityClasses->GetSize()-1, temp);
420 fOutputList->Add(fProfV2Cumulant);
421 fOutputList->Add(fProfV3Cumulant);
424 fProfV2Cumulant = new TProfile("fProfV2Cumulant", "fProfV2Cumulant", fCentralityClasses->GetSize()-1, temp);
425 fProfV3Cumulant = new TProfile("fProfV3Cumulant", "fProfV3Cumulant", fCentralityClasses->GetSize()-1, temp);
426 fOutputList->Add(fProfV2Cumulant);
427 fOutputList->Add(fProfV3Cumulant);
431 // for the histograms initialized below, binning is fixed to runnumbers or flags
432 fReduceBinsXByFactor = 1;
433 fReduceBinsYByFactor = 1;
434 if(fFillQAHistograms) {
435 fHistRunnumbersEta = new TH2F("fHistRunnumbersEta", "fHistRunnumbersEta", 100, -.5, 99.5, 100, -1.1, 1.1);
436 fHistRunnumbersEta->Sumw2();
437 fOutputList->Add(fHistRunnumbersEta);
438 fHistRunnumbersPhi = new TH2F("fHistRunnumbersPhi", "fHistRunnumbersPhi", 100, -.5, 99.5, 100, -0.2, TMath::TwoPi()+0.2);
439 fHistRunnumbersPhi->Sumw2();
440 fOutputList->Add(fHistRunnumbersPhi);
442 fHistAnalysisSummary = BookTH1F("fHistAnalysisSummary", "flag", 52, -0.5, 52.5);
443 fHistSwap = new TH1F("fHistSwap", "fHistSwap", 20, 0, TMath::TwoPi());
444 if(fUsePtWeight) fHistSwap->Sumw2();
446 if(fUserSuppliedV2) fOutputList->Add(fUserSuppliedV2);
447 if(fUserSuppliedV3) fOutputList->Add(fUserSuppliedV3);
448 if(fUserSuppliedR2) fOutputList->Add(fUserSuppliedR2);
449 if(fUserSuppliedR3) fOutputList->Add(fUserSuppliedR3);
450 // increase readability of output list
452 PostData(1, fOutputList);
454 switch (fRunModeType) {
456 fOutputListGood = new TList();
457 fOutputListGood->SetOwner(kTRUE);
458 fOutputListBad = new TList();
459 fOutputListBad->SetOwner(kTRUE);
460 PostData(2, fOutputListGood);
461 PostData(3, fOutputListBad);
466 //_____________________________________________________________________________
467 Bool_t AliAnalysisTaskRhoVnModulation::Run()
469 // user exec: execute once for each event
470 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
471 if(!(fTracks||fJets||fRho)) return kFALSE;
472 if(!fLocalInit) fLocalInit = InitializeAnalysis();
473 // reject the event if expected data is missing
474 if(!PassesCuts(InputEvent())) return kFALSE;
475 if(!fCaloClusters && fDebug > 0) printf(" > Warning: couldn't retreive calo clusters! < \n");
477 fLocalRho->SetVal(fRho->GetVal());
478 // [0][0] psi2a [1,0] psi2c
479 // [0][1] psi3a [1,1] psi3c
480 Double_t vzero[2][2];
481 CalculateEventPlaneVZERO(vzero);
482 /* for the combined vzero event plane
484 * not fully implmemented yet, use with caution ! */
485 Double_t vzeroComb[2];
486 CalculateEventPlaneCombinedVZERO(vzeroComb);
489 CalculateEventPlaneTPC(tpc);
490 Double_t psi2(-1), psi3(-1);
491 // arrays which will hold the fit parameters
492 switch (fDetectorType) { // determine the detector type for the rho fit
493 case kTPC : { psi2 = tpc[0]; psi3 = tpc[1]; } break;
494 case kVZEROA : { psi2 = vzero[0][0]; psi3 = vzero[0][1]; } break;
495 case kVZEROC : { psi2 = vzero[1][0]; psi3 = vzero[1][1]; } break;
496 case kVZEROComb : { psi2 = vzeroComb[0]; psi3 = vzeroComb[1];} break;
499 switch (fFitModulationType) { // do the fits
500 case kNoFit : { fFitModulation->FixParameter(0, fLocalRho->GetVal()); } break;
501 case kV2 : { // only v2
502 if(CorrectRho(psi2, psi3)) {
503 fProfV2->Fill(fCent, fFitModulation->GetParameter(3));
504 if(fUserSuppliedR2) {
505 Double_t r(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
506 if(r > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r);
508 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
511 case kV3 : { // only v3
512 if(CorrectRho(psi2, psi3)) {
513 if(fUserSuppliedR3) {
514 Double_t r(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
515 if(r > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r);
517 fProfV3->Fill(fCent, fFitModulation->GetParameter(3));
518 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
521 case kQC2 : { // qc2 analysis
522 if(CorrectRho(psi2, psi3)) {
523 if(fUserSuppliedR2 && fUserSuppliedR3) {
524 // note for the qc method, resolution is REVERSED to go back to v2obs
525 Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
526 Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
527 if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)*r2);
528 if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(7)*r3);
530 if (fUsePtWeight) { // use weighted weights
531 Double_t dQCnM11 = (fNoEventWeightsForQC) ? 1. : QCnM11();
532 fProfV2->Fill(fCent, fFitModulation->GetParameter(3), dQCnM11);
533 fProfV3->Fill(fCent, fFitModulation->GetParameter(7), dQCnM11);
535 Double_t dQCnM = (fNoEventWeightsForQC) ? 2. : QCnM();
536 fProfV2->Fill(fCent, fFitModulation->GetParameter(3), dQCnM*(dQCnM-1));
537 fProfV3->Fill(fCent, fFitModulation->GetParameter(7), dQCnM*(dQCnM-1));
539 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
543 if(CorrectRho(psi2, psi3)) {
544 if(fUserSuppliedR2 && fUserSuppliedR3) {
545 // note for the qc method, resolution is REVERSED to go back to v2obs
546 Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
547 Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
548 if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)*r2);
549 if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(3)*r3);
551 if (fUsePtWeight) { // use weighted weights
552 fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.5)/*, QCnM1111()*/);
553 fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.5)/*, QCnM1111()*/);
555 fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.5)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/);
556 fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.5)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/);
559 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
562 if(CorrectRho(psi2, psi3)) {
563 if(fUserSuppliedR2 && fUserSuppliedR3) {
564 Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
565 Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
566 if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r2);
567 if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(3)/r3);
569 fProfV2->Fill(fCent, fFitModulation->GetParameter(3));
570 fProfV3->Fill(fCent, fFitModulation->GetParameter(7));
571 CalculateEventPlaneResolution(vzero, vzeroComb, tpc);
575 // if all went well, update the local rho parameter
576 fLocalRho->SetLocalRho(fFitModulation);
577 // fill a number of histograms
578 if(fFillHistograms) FillHistogramsAfterSubtraction(psi2, psi3, vzero, vzeroComb, tpc);
579 // send the output to the connected output container
580 PostData(1, fOutputList);
581 switch (fRunModeType) {
583 PostData(2, fOutputListGood);
584 PostData(3, fOutputListBad);
590 //_____________________________________________________________________________
591 void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneVZERO(Double_t vzero[2][2]) const
593 // get the vzero event plane
594 if(fUseV0EventPlaneFromHeader) { // use the vzero from the header
595 Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0), h(0);
596 vzero[0][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 2, a, b);
597 vzero[1][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 2, c, d);
598 vzero[0][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 3, e, f);
599 vzero[1][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 3, g, h);
602 // grab the vzero event plane without recentering
603 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
604 Double_t qxa2(0), qya2(0), qxc2(0), qyc2(0); // for psi2
605 Double_t qxa3(0), qya3(0), qxc3(0), qyc3(0); // for psi3
606 for(Int_t iVZERO(0); iVZERO < 64; iVZERO++) {
607 Double_t phi(TMath::PiOver4()*(.5+iVZERO%8)), /* eta(0), */ weight(InputEvent()->GetVZEROEqMultiplicity(iVZERO));
608 // (iVZERO<32) ? eta = -3.45+.5*(iVZERO/8) : eta = 4.8-.6*((iVZERO/8)-4);
610 qxa2 += weight*TMath::Cos(2.*phi);
611 qya2 += weight*TMath::Sin(2.*phi);
612 qxa3 += weight*TMath::Cos(3.*phi);
613 qya3 += weight*TMath::Sin(3.*phi);
616 qxc2 += weight*TMath::Cos(2.*phi);
617 qyc2 += weight*TMath::Sin(2.*phi);
618 qxc3 += weight*TMath::Cos(3.*phi);
619 qyc3 += weight*TMath::Sin(3.*phi);
622 vzero[0][0] = .5*TMath::ATan2(qya2, qxa2);
623 vzero[1][0] = .5*TMath::ATan2(qyc2, qxc2);
624 vzero[0][1] = (1./3.)*TMath::ATan2(qya3, qxa3);
625 vzero[1][1] = (1./3.)*TMath::ATan2(qyc3, qxc3);
627 //_____________________________________________________________________________
628 void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneTPC(Double_t* tpc)
630 // grab the TPC event plane
631 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
632 fNAcceptedTracks = 0; // reset the track counter
633 Double_t qx2(0), qy2(0); // for psi2
634 Double_t qx3(0), qy3(0); // for psi3
636 Float_t excludeInEta[] = {-999, -999};
637 if(fExcludeLeadingJetsFromFit > 0 ) { // remove the leading jet from ep estimate
638 AliEmcalJet* leadingJet[] = {0x0, 0x0};
639 static Int_t lJets[9999] = {-1};
640 GetSortedArray(lJets, fJets);
641 for(Int_t i(0); i < fJets->GetEntriesFast(); i++) { // get the two leading jets
642 if (1 + i > fJets->GetEntriesFast()) break;
643 leadingJet[0] = static_cast<AliEmcalJet*>(fJets->At(lJets[i]));
644 leadingJet[1] = static_cast<AliEmcalJet*>(fJets->At(lJets[i+1]));
645 if(PassesCuts(leadingJet[0]) && PassesCuts(leadingJet[1])) break;
647 if(leadingJet[0] && leadingJet[1]) {
648 for(Int_t i(0); i < 2; i++) excludeInEta[i] = leadingJet[i]->Eta();
651 Int_t iTracks(fTracks->GetEntriesFast());
652 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
653 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
654 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
655 if(fExcludeLeadingJetsFromFit > 0 &&( (TMath::Abs(track->Eta() - excludeInEta[0]) < fJetRadius*fExcludeLeadingJetsFromFit ) || (TMath::Abs(track->Eta()) - fJetRadius - fJetMaxEta ) > 0 )) continue;
657 qx2+= TMath::Cos(2.*track->Phi());
658 qy2+= TMath::Sin(2.*track->Phi());
659 qx3+= TMath::Cos(3.*track->Phi());
660 qy3+= TMath::Sin(3.*track->Phi());
663 tpc[0] = .5*TMath::ATan2(qy2, qx2);
664 tpc[1] = (1./3.)*TMath::ATan2(qy3, qx3);
666 //_____________________________________________________________________________
667 void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneCombinedVZERO(Double_t* comb) const
669 // grab the combined vzero event plane
670 // if(fUseV0EventPlaneFromHeader) { // use the vzero from the header
671 Double_t a(0), b(0), c(0), d(0);
672 comb[0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 10, 2, a, b);
673 comb[1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 10, 3, c, d);
675 // Double_t qx2a(0), qy2a(0), qx2c(0), qy2c(0), qx3a(0), qy3a(0), qx3c(0), qy3c(0);
676 // InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 2, qx2a, qy2a);
677 // InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 2, qx2c, qy2c);
678 // InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 3, qx3a, qy3a);
679 // InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 3, qx3c, qy3c);
680 // FIXME the rest of this function isn't impelmented yet (as of 01-07-2013)
681 // Double_t chi2A(-1), chi2C(-1), chi3A(-1), chi3C(-1); // get chi from the resolution
682 // Double_t qx2(chi2A*chi2A*qx2a+chi2C*chi2C*qx2c);
683 // Double_t qy2(chi2A*chi2A*qy2a+chi2C*chi2C*qy2c);
684 // Double_t qx3(chi3A*chi3A*qx3a+chi3C*chi3C*qx3c);
685 // Double_t qy3(chi3A*chi3A*qy3a+chi3C*chi3C*qy3c);
686 // comb[0] = .5*TMath::ATan2(qy2, qx2);
687 // comb[1] = (1./3.)*TMath::ATan2(qy3, qx3);
690 //_____________________________________________________________________________
691 void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneResolution(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc)
693 // fill the profiles for the resolution parameters
694 if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
695 fProfV2Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(2.*(vzero[0][0] - vzero[1][0])));
696 fProfV2Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(2.*(vzero[1][0] - vzero[0][0])));
697 fProfV2Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(2.*(vzero[0][0] - tpc[0])));
698 fProfV2Resolution[fInCentralitySelection]->Fill(5., TMath::Cos(2.*(tpc[0] - vzero[0][0])));
699 fProfV2Resolution[fInCentralitySelection]->Fill(6., TMath::Cos(2.*(vzero[1][0] - tpc[0])));
700 fProfV2Resolution[fInCentralitySelection]->Fill(7., TMath::Cos(2.*(tpc[0] - vzero[1][0])));
701 fProfV3Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(3.*(vzero[0][0] - vzero[1][0])));
702 fProfV3Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(3.*(vzero[1][0] - vzero[0][0])));
703 fProfV3Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(3.*(vzero[0][0] - tpc[0])));
704 fProfV3Resolution[fInCentralitySelection]->Fill(5., TMath::Cos(3.*(tpc[0] - vzero[0][0])));
705 fProfV3Resolution[fInCentralitySelection]->Fill(6., TMath::Cos(3.*(vzero[1][0] - tpc[0])));
706 fProfV3Resolution[fInCentralitySelection]->Fill(7., TMath::Cos(3.*(tpc[0] - vzero[1][0])));
707 // for the resolution of the combined vzero event plane, use two tpc halves as uncorrelated subdetectors
708 Double_t qx2a(0), qy2a(0); // for psi2a, negative eta
709 Double_t qx3a(0), qy3a(0); // for psi3a, negative eta
710 Double_t qx2b(0), qy2b(0); // for psi2a, positive eta
711 Double_t qx3b(0), qy3b(0); // for psi3a, positive eta
713 Int_t iTracks(fTracks->GetEntriesFast());
714 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
715 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
716 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
717 if(track->Eta() < 0 ) {
718 qx2a+= TMath::Cos(2.*track->Phi());
719 qy2a+= TMath::Sin(2.*track->Phi());
720 qx3a+= TMath::Cos(3.*track->Phi());
721 qy3a+= TMath::Sin(3.*track->Phi());
722 } else if (track->Eta() > 0) {
723 qx2b+= TMath::Cos(2.*track->Phi());
724 qy2b+= TMath::Sin(2.*track->Phi());
725 qx3b+= TMath::Cos(3.*track->Phi());
726 qy3b+= TMath::Sin(3.*track->Phi());
730 Double_t tpca2(.5*TMath::ATan2(qy2a, qx2a));
731 Double_t tpca3((1./3.)*TMath::ATan2(qy3a, qx3a));
732 Double_t tpcb2(.5*TMath::ATan2(qy2b, qx2b));
733 Double_t tpcb3((1./3.)*TMath::ATan2(qy3b, qx3b));
734 fProfV2Resolution[fInCentralitySelection]->Fill(8., TMath::Cos(2.*(vzeroComb[0] - tpca2)));
735 fProfV2Resolution[fInCentralitySelection]->Fill(9., TMath::Cos(2.*(vzeroComb[0] - tpcb2)));
736 fProfV2Resolution[fInCentralitySelection]->Fill(10., TMath::Cos(2.*(tpca2 - tpcb2)));
737 fProfV3Resolution[fInCentralitySelection]->Fill(8., TMath::Cos(3.*(vzeroComb[1] - tpca3)));
738 fProfV3Resolution[fInCentralitySelection]->Fill(9., TMath::Cos(3.*(vzeroComb[1] - tpcb3)));
739 fProfV3Resolution[fInCentralitySelection]->Fill(10., TMath::Cos(3.*(tpca3 - tpcb3)));
741 //_____________________________________________________________________________
742 Double_t AliAnalysisTaskRhoVnModulation::CalculateEventPlaneChi(Double_t resEP) const
744 // Get Chi from EP resolution (PRC 58 1671)
745 Double_t chi(2.), delta (1.);
746 for (Int_t i(0); i < 15; i++) {
747 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;
752 //_____________________________________________________________________________
753 void AliAnalysisTaskRhoVnModulation::CalculateRandomCone(Float_t &pt, Float_t &eta, Float_t &phi,
754 AliEmcalJet* jet, Bool_t randomize) const
757 if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
758 pt = 0; eta = 0; phi = 0;
759 Float_t etaJet(999), phiJet(999), dJet(999); // no jet: same as jet very far away
760 if(jet) { // if a leading jet is given, use its kinematic properties
764 // force the random cones to at least be within detector acceptance
765 Float_t minPhi(fJetMinPhi), maxPhi(fJetMaxPhi);
766 if(maxPhi > TMath::TwoPi()) maxPhi = TMath::TwoPi();
767 if(minPhi < 0 ) minPhi = 0;
768 Float_t diffRcRJR(TMath::Abs(fRandomConeRadius-fJetRadius));
769 // construct a random cone and see if it's far away enough from the leading jet
770 Int_t attempts(1000);
773 eta = gRandom->Uniform(fJetMinEta+diffRcRJR, fJetMaxEta-diffRcRJR);
774 phi = gRandom->Uniform(minPhi, maxPhi);
776 dJet = TMath::Sqrt((etaJet-eta)*(etaJet-eta)+(phiJet-phi)*(phiJet-phi));
777 if(dJet > fMinDisanceRCtoLJ) break;
778 else if (attempts == 0) {
779 printf(" > No random cone after 1000 tries, giving up ... !\n");
784 Int_t iTracks(fTracks->GetEntriesFast());
785 for(Int_t i(0); i < iTracks; i++) {
786 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
787 if(!PassesCuts(track)) continue;
788 Float_t etaTrack(track->Eta()), phiTrack(track->Phi()), ptTrack(track->Pt());
789 // if requested, randomize eta and phi to destroy any correlated fluctuations
791 etaTrack = gRandom->Uniform(fTrackMinEta, fTrackMaxEta);
792 phiTrack = gRandom->Uniform(minPhi, maxPhi);
794 // get distance from cone
795 if(TMath::Abs(phiTrack-phi) > TMath::Abs(phiTrack - phi + TMath::TwoPi())) phiTrack+=TMath::TwoPi();
796 if(TMath::Abs(phiTrack-phi) > TMath::Abs(phiTrack - phi - TMath::TwoPi())) phiTrack-=TMath::TwoPi();
797 if(TMath::Sqrt(TMath::Abs((etaTrack-eta)*(etaTrack-eta)+(phiTrack-phi)*(phiTrack-phi))) <= fRandomConeRadius) pt+=ptTrack;
801 //_____________________________________________________________________________
802 Double_t AliAnalysisTaskRhoVnModulation::CalculateQC2(Int_t harm) {
803 // get the second order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho
804 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
805 Double_t reQ(0), imQ(0), modQ(0), M11(0), M(0);
806 if(fUsePtWeight) { // for the weighted 2-nd order q-cumulant
807 QCnQnk(harm, 1, reQ, imQ); // get the weighted 2-nd order q-vectors
808 modQ = reQ*reQ+imQ*imQ; // get abs Q-squared
809 M11 = QCnM11(); // equals S2,1 - S1,2
810 return (M11 > 0) ? ((modQ - QCnS(1,2))/M11) : -999;
811 } // else return the non-weighted 2-nd order q-cumulant
812 QCnQnk(harm, 0, reQ, imQ); // get the non-weighted 2-nd order q-vectors
813 modQ = reQ*reQ+imQ*imQ; // get abs Q-squared
815 return (M > 1) ? (modQ - M)/(M*(M-1)) : -999;
817 //_____________________________________________________________________________
818 Double_t AliAnalysisTaskRhoVnModulation::CalculateQC4(Int_t harm) {
819 // get the fourth order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho
820 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
821 Double_t reQn1(0), imQn1(0), reQ2n2(0), imQ2n2(0), reQn3(0), imQn3(0), M1111(0), M(0);
822 Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0); // terms of the calculation
823 if(fUsePtWeight) { // for the weighted 4-th order q-cumulant
824 QCnQnk(harm, 1, reQn1, imQn1);
825 QCnQnk(harm*2, 2, reQ2n2, imQ2n2);
826 QCnQnk(harm, 3, reQn3, imQn3);
827 // fill in the terms ...
828 a = (reQn1*reQn1+imQn1*imQn1)*(reQn1*reQn1+imQn1*imQn1);
829 b = reQ2n2*reQ2n2 + imQ2n2*imQ2n2;
830 c = -2.*(reQ2n2*reQn1*reQn1-reQ2n2*imQn1*imQn1+2.*imQ2n2*reQn1*imQn1);
831 d = 8.*(reQn3*reQn1+imQn3*imQn1);
832 e = -4.*QCnS(1,2)*(reQn1*reQn1+imQn1*imQn1);
836 return (M1111 > 0) ? (a+b+c+d+e+f+g)/M1111 : -999;
837 } // else return the unweighted case
838 Double_t reQn(0), imQn(0), reQ2n(0), imQ2n(0);
839 QCnQnk(harm, 0, reQn, imQn);
840 QCnQnk(harm*2, 0, reQ2n, imQ2n);
841 // fill in the terms ...
843 if(M < 4) return -999;
844 a = (reQn*reQn+imQn*imQn)*(reQn*reQn+imQn*imQn);
845 b = reQ2n*reQ2n + imQ2n*imQ2n;
846 c = -2.*(reQ2n*reQn*reQn-reQ2n*imQn*imQn+2.*imQ2n*reQn*imQn);
847 e = -4.*(M-2)*(reQn*reQn+imQn*imQn);
849 return (a+b+c+e+f)/(M*(M-1)*(M-2)*(M-3));
851 //_____________________________________________________________________________
852 void AliAnalysisTaskRhoVnModulation::QCnQnk(Int_t n, Int_t k, Double_t &reQ, Double_t &imQ) {
853 // get the weighted n-th order q-vector, pass real and imaginary part as reference
854 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
856 fNAcceptedTracksQCn = 0;
857 Int_t iTracks(fTracks->GetEntriesFast());
858 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
859 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
860 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
861 fNAcceptedTracksQCn++;
862 // for the unweighted case, k equals zero and the weight doesn't contribute to the equation below
863 reQ += TMath::Power(track->Pt(), k) * TMath::Cos(((double)n)*track->Phi());
864 imQ += TMath::Power(track->Pt(), k) * TMath::Sin(((double)n)*track->Phi());
867 //_____________________________________________________________________________
868 void AliAnalysisTaskRhoVnModulation::QCnDiffentialFlowVectors(
869 TClonesArray* pois, TArrayD* ptBins, Bool_t vpart, Double_t* repn, Double_t* impn,
870 Double_t *mp, Double_t *reqn, Double_t *imqn, Double_t* mq, Int_t n)
872 // get unweighted differential flow vectors
873 Int_t iPois(pois->GetEntriesFast());
875 for(Int_t i(0); i < iPois; i++) {
876 for(Int_t ptBin(0); ptBin < ptBins->GetSize()-1; ptBin++) {
877 AliVTrack* poi = static_cast<AliVTrack*>(pois->At(i));
878 if(PassesCuts(poi)) {
879 if(poi->Pt() >= ptBins->At(ptBin) && poi->Pt() < ptBins->At(ptBin+1)) {
880 // fill the flow vectors assuming that all poi's are in the rp selection (true by design)
881 repn[ptBin]+=TMath::Cos(((double)n)*poi->Phi());
882 impn[ptBin]+=TMath::Sin(((double)n)*poi->Phi());
884 reqn[ptBin]+=TMath::Cos(((double)n)*poi->Phi());
885 imqn[ptBin]+=TMath::Sin(((double)n)*poi->Phi());
892 for(Int_t i(0); i < iPois; i++) {
893 for(Int_t ptBin(0); ptBin < ptBins->GetSize()-1; ptBin++) {
894 AliEmcalJet* poi = static_cast<AliEmcalJet*>(pois->At(i));
895 if(PassesCuts(poi)) {
896 Double_t pt(poi->Pt()-poi->Area()*fLocalRho->GetLocalVal(poi->Phi(), fJetRadius, fLocalRho->GetVal()));
897 if(pt >= ptBins->At(ptBin) && pt < ptBins->At(ptBin+1)) {
898 repn[ptBin]+=TMath::Cos(((double)n)*poi->Phi());
899 impn[ptBin]+=TMath::Sin(((double)n)*poi->Phi());
900 mp[ptBin]++; // qn isn't filled, no overlap between poi's and rp's
907 //_____________________________________________________________________________
908 Double_t AliAnalysisTaskRhoVnModulation::QCnS(Int_t i, Int_t j) {
909 // get the weighted ij-th order autocorrelation correction
910 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
911 if(!fTracks || i <= 0 || j <= 0) return -999;
912 Int_t iTracks(fTracks->GetEntriesFast());
914 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
915 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
916 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
917 Sij+=TMath::Power(track->Pt(), j);
919 return TMath::Power(Sij, i);
921 //_____________________________________________________________________________
922 Double_t AliAnalysisTaskRhoVnModulation::QCnM() {
923 // get multiplicity for unweighted q-cumulants. function QCnQnk should be called first
924 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
925 return (Double_t) fNAcceptedTracksQCn;
927 //_____________________________________________________________________________
928 Double_t AliAnalysisTaskRhoVnModulation::QCnM11() {
929 // get multiplicity weights for the weighted two particle cumulant
930 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
931 return (QCnS(2,1) - QCnS(1,2));
933 //_____________________________________________________________________________
934 Double_t AliAnalysisTaskRhoVnModulation::QCnM1111() {
935 // get multiplicity weights for the weighted four particle cumulant
936 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
937 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));
939 //_____________________________________________________________________________
940 Bool_t AliAnalysisTaskRhoVnModulation::QCnRecovery(Double_t psi2, Double_t psi3) {
941 // decides how to deal with the situation where c2 or c3 is negative
942 // returns kTRUE depending on whether or not a modulated rho is used for the jet background
943 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
944 if(TMath::AreEqualAbs(fFitModulation->GetParameter(3), .0, 1e-10) && TMath::AreEqualAbs(fFitModulation->GetParameter(7), .0,1e-10)) {
945 fFitModulation->SetParameter(7, 0);
946 fFitModulation->SetParameter(3, 0);
947 fFitModulation->SetParameter(0, fLocalRho->GetVal());
948 return kTRUE; // v2 and v3 have physical null values
950 switch (fQCRecovery) {
951 case kFixedRho : { // roll back to the original rho
952 fFitModulation->SetParameter(7, 0);
953 fFitModulation->SetParameter(3, 0);
954 fFitModulation->SetParameter(0, fLocalRho->GetVal());
955 return kFALSE; // rho is forced to be fixed
958 Double_t c2(fFitModulation->GetParameter(3));
959 Double_t c3(fFitModulation->GetParameter(7));
960 if( c2 < 0 ) c2 = -1.*TMath::Sqrt(-1.*c2);
961 if( c3 < 0 ) c3 = -1.*TMath::Sqrt(-1.*c3);
962 fFitModulation->SetParameter(3, c2);
963 fFitModulation->SetParameter(7, c3);
964 return kTRUE; // is this a physical quantity ?
967 fitModulationType tempType(fFitModulationType); // store temporarily
968 fFitModulationType = kCombined;
969 fFitModulation->SetParameter(7, 0);
970 fFitModulation->SetParameter(3, 0);
971 Bool_t pass(CorrectRho(psi2, psi3)); // do the fit and all quality checks
972 fFitModulationType = tempType; // roll back for next event
975 default : return kFALSE;
979 //_____________________________________________________________________________
980 Bool_t AliAnalysisTaskRhoVnModulation::CorrectRho(Double_t psi2, Double_t psi3)
982 // get rho' -> rho(phi)
983 // two routines are available, both can be used with or without pt weights
984 // [1] get vn from q-cumulants or as an integrated value from a user supplied histogram
985 // in case of cumulants, both cumulants and vn values are stored. in both cases, v2 and v3
986 // are expected. a check is performed to see if rho has no negative local minimum
987 // for full description, see Phys. Rev. C 83, 044913
988 // since the cn distribution has negative values, vn = sqrt(cn) can be imaginary sometimes
989 // in this case one can either roll back to the 'original' rixed rho, do a fit for vn or take use
991 // [2] fitting a fourier expansion to the de/dphi distribution
992 // the fit can be done with either v2, v3 or a combination.
993 // in all cases, a cut can be made on the p-value of the chi-squared value of the fit
994 // and a check can be performed to see if rho has no negative local minimum
995 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
996 switch (fFitModulationType) { // for approaches where no fitting is required
998 fFitModulation->FixParameter(4, psi2);
999 fFitModulation->FixParameter(6, psi3);
1000 fFitModulation->FixParameter(3, CalculateQC2(2)); // set here with cn, vn = sqrt(cn)
1001 fFitModulation->FixParameter(7, CalculateQC2(3));
1002 // first fill the histos of the raw cumulant distribution
1003 if (fUsePtWeight) { // use weighted weights
1004 Double_t dQCnM11 = (fNoEventWeightsForQC) ? 1. : QCnM11();
1005 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3), dQCnM11);
1006 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7), dQCnM11);
1008 Double_t dQCnM = (fNoEventWeightsForQC) ? 2. : QCnM();
1009 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3), dQCnM*(dQCnM-1));
1010 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7), dQCnM*(dQCnM-1));
1012 // then see if one of the cn value is larger than zero and vn is readily available
1013 if(fFitModulation->GetParameter(3) > 0 && fFitModulation->GetParameter(7) > 0) {
1014 fFitModulation->FixParameter(3, TMath::Sqrt(fFitModulation->GetParameter(3)));
1015 fFitModulation->FixParameter(7, TMath::Sqrt(fFitModulation->GetParameter(7)));
1016 } else if (!QCnRecovery(psi2, psi3)) return kFALSE; // try to recover the cumulant, this will set v2 and v3
1017 if(fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) { // general check
1018 fFitModulation->SetParameter(7, 0);
1019 fFitModulation->SetParameter(3, 0);
1020 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1026 fFitModulation->FixParameter(4, psi2);
1027 fFitModulation->FixParameter(6, psi3);
1028 fFitModulation->FixParameter(3, CalculateQC4(2)); // set here with cn, vn = sqrt(cn)
1029 fFitModulation->FixParameter(7, CalculateQC4(3));
1030 // first fill the histos of the raw cumulant distribution
1031 if (fUsePtWeight) { // use weighted weights
1032 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3)/*, QCnM1111()*/);
1033 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7)/*, QCnM1111()*/);
1035 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3)/*, QCnM1111()*/);
1036 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7)/*, QCnM1111()*/);
1038 // then see if one of the cn value is larger than zero and vn is readily available
1039 if(fFitModulation->GetParameter(3) > 0 && fFitModulation->GetParameter(7) > 0) {
1040 fFitModulation->FixParameter(3, TMath::Sqrt(fFitModulation->GetParameter(3)));
1041 fFitModulation->FixParameter(7, TMath::Sqrt(fFitModulation->GetParameter(7)));
1042 } else if (!QCnRecovery(psi2, psi3)) return kFALSE; // try to recover the cumulant, this will set v2 and v3
1043 if(fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) { // general check
1044 fFitModulation->SetParameter(7, 0);
1045 fFitModulation->SetParameter(3, 0);
1046 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1050 case kIntegratedFlow : {
1051 // use v2 and v3 values from an earlier iteration over the data
1052 fFitModulation->FixParameter(3, fUserSuppliedV2->GetBinContent(fUserSuppliedV2->GetXaxis()->FindBin(fCent)));
1053 fFitModulation->FixParameter(4, psi2);
1054 fFitModulation->FixParameter(6, psi3);
1055 fFitModulation->FixParameter(7, fUserSuppliedV3->GetBinContent(fUserSuppliedV3->GetXaxis()->FindBin(fCent)));
1056 if(fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) {
1057 fFitModulation->SetParameter(7, 0);
1058 fFitModulation->SetParameter(3, 0);
1059 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1066 TString detector("");
1067 switch (fDetectorType) {
1068 case kTPC : detector+="TPC";
1070 case kVZEROA : detector+="VZEROA";
1072 case kVZEROC : detector+="VZEROC";
1074 case kVZEROComb : detector+="VZEROComb";
1078 Int_t iTracks(fTracks->GetEntriesFast());
1079 Double_t excludeInEta[] = {-999, -999};
1080 Double_t excludeInPhi[] = {-999, -999};
1081 Double_t excludeInPt[] = {-999, -999};
1082 if(iTracks <= 0 || fLocalRho->GetVal() <= 0 ) return kFALSE; // no use fitting an empty event ...
1083 if(fExcludeLeadingJetsFromFit > 0 ) {
1084 AliEmcalJet* leadingJet[] = {0x0, 0x0};
1085 static Int_t lJets[9999] = {-1};
1086 GetSortedArray(lJets, fJets);
1087 for(Int_t i(0); i < fJets->GetEntriesFast(); i++) { // get the two leading jets
1088 if (1 + i > fJets->GetEntriesFast()) break;
1089 leadingJet[0] = static_cast<AliEmcalJet*>(fJets->At(lJets[i]));
1090 leadingJet[1] = static_cast<AliEmcalJet*>(fJets->At(lJets[i+1]));
1091 if(PassesCuts(leadingJet[0]) && PassesCuts(leadingJet[1])) break;
1093 if(leadingJet[0] && leadingJet[1]) {
1094 for(Int_t i(0); i < 2; i++) {
1095 excludeInEta[i] = leadingJet[i]->Eta();
1096 excludeInPhi[i] = leadingJet[i]->Phi();
1097 excludeInPt[i] = leadingJet[i]->Pt();
1101 fHistSwap->Reset(); // clear the histogram
1103 if(fRebinSwapHistoOnTheFly) {
1104 if(fNAcceptedTracks < 49) fNAcceptedTracks = 49; // avoid aliasing effects
1105 _tempSwap = TH1F("_tempSwap", "_tempSwap", TMath::CeilNint(TMath::Sqrt(fNAcceptedTracks)), 0, TMath::TwoPi());
1106 if(fUsePtWeight) _tempSwap.Sumw2();
1108 else _tempSwap = *fHistSwap; // now _tempSwap holds the desired histo
1109 for(Int_t i(0); i < iTracks; i++) {
1110 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1111 if(fExcludeLeadingJetsFromFit > 0 &&( (TMath::Abs(track->Eta() - excludeInEta[0]) < fJetRadius*fExcludeLeadingJetsFromFit ) || (TMath::Abs(track->Eta()) - fJetRadius - fJetMaxEta ) > 0 )) continue;
1112 if(!PassesCuts(track) || track->Pt() > fSoftTrackMaxPt || track->Pt() < fSoftTrackMinPt) continue;
1113 if(fUsePtWeight) _tempSwap.Fill(track->Phi(), track->Pt());
1114 else _tempSwap.Fill(track->Phi());
1116 // for(Int_t i(0); i < _tempSwap.GetXaxis()->GetNbins(); i++) _tempSwap.SetBinError(1+i, TMath::Sqrt(_tempSwap.GetBinContent(1+i)));
1117 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1118 switch (fFitModulationType) {
1119 case kNoFit : { fFitModulation->FixParameter(0, fLocalRho->GetVal() );
1122 fFitModulation->FixParameter(4, psi2);
1125 fFitModulation->FixParameter(4, psi3);
1128 fFitModulation->FixParameter(4, psi2);
1129 fFitModulation->FixParameter(6, psi3);
1131 case kFourierSeries : {
1132 // in this approach, an explicit calculation will be made of vn = sqrt(xn^2+yn^2)
1133 // where x[y] = Integrate[r(phi)cos[sin](n phi)dphi, 0, 2pi]
1134 Double_t cos2(0), sin2(0), cos3(0), sin3(0), sumPt(0);
1135 for(Int_t i(0); i < iTracks; i++) {
1136 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1137 if(!PassesCuts(track) || track->Pt() > fSoftTrackMaxPt || track->Pt() < fSoftTrackMinPt) continue;
1138 sumPt += track->Pt();
1139 cos2 += track->Pt()*TMath::Cos(2*PhaseShift(track->Phi()-psi2));
1140 sin2 += track->Pt()*TMath::Sin(2*PhaseShift(track->Phi()-psi2));
1141 cos3 += track->Pt()*TMath::Cos(3*PhaseShift(track->Phi()-psi3));
1142 sin3 += track->Pt()*TMath::Sin(3*PhaseShift(track->Phi()-psi3));
1144 fFitModulation->SetParameter(3, TMath::Sqrt(cos2*cos2+sin2*sin2)/fLocalRho->GetVal());
1145 fFitModulation->SetParameter(4, psi2);
1146 fFitModulation->SetParameter(6, psi3);
1147 fFitModulation->SetParameter(7, TMath::Sqrt(cos3*cos3+sin3*sin3)/fLocalRho->GetVal());
1151 _tempSwap.Fit(fFitModulation, fFitModulationOptions.Data(), "", 0, TMath::TwoPi());
1152 // the quality of the fit is evaluated from 1 - the cdf of the chi square distribution
1153 Double_t CDF(1.-ChiSquareCDF(fFitModulation->GetNDF(), fFitModulation->GetChisquare()));
1154 fHistPvalueCDF->Fill(CDF);
1155 if(CDF > fMinPvalue && CDF < fMaxPvalue && ( fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) > 0)) { // fit quality
1156 // for LOCAL didactic purposes, save the best and the worst fits
1157 // this routine can produce a lot of output histograms (it's not memory 'safe') and will not work on GRID
1158 // since the output will become unmergeable (i.e. different nodes may produce conflicting output)
1159 switch (fRunModeType) {
1161 if(fRandom->Uniform(0, 100) > fPercentageOfFits) break;
1162 static Int_t didacticCounterBest(0);
1163 TProfile* didacticProfile = (TProfile*)_tempSwap.Clone(Form("Fit_%i_1-CDF_%.3f_cen_%i_%s", didacticCounterBest, CDF, fInCentralitySelection, detector.Data()));
1164 TF1* didactifFit = (TF1*)fFitModulation->Clone(Form("fit_%i_CDF_%.3f_cen_%i_%s", didacticCounterBest, CDF, fInCentralitySelection, detector.Data()));
1165 didacticProfile->GetListOfFunctions()->Add(didactifFit);
1166 fOutputListGood->Add(didacticProfile);
1167 didacticCounterBest++;
1168 TH2F* didacticSurface = BookTH2F(Form("surface_%s", didacticProfile->GetName()), "#phi", "#eta", 50, 0, TMath::TwoPi(), 50, -1, 1, -1, kFALSE);
1169 for(Int_t i(0); i < iTracks; i++) {
1170 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1171 if(PassesCuts(track)) {
1172 if(fUsePtWeight) didacticSurface->Fill(track->Phi(), track->Eta(), track->Pt());
1173 else didacticSurface->Fill(track->Phi(), track->Eta());
1176 if(fExcludeLeadingJetsFromFit) { // visualize the excluded region
1177 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);
1178 f2->SetParameters(excludeInPt[0]/3.,excludeInPhi[0],.1,excludeInEta[0],.1);
1179 didacticSurface->GetListOfFunctions()->Add(f2);
1180 TF2 *f3 = new TF2(Form("%s_NLJ", didacticSurface->GetName()),"[0]*TMath::Gaus(x,[1],[2])*TMath::Gaus(y,[3],[4])", 0, TMath::TwoPi(), -1, 1);
1181 f3->SetParameters(excludeInPt[1]/3.,excludeInPhi[1],.1,excludeInEta[1],.1);
1182 f3->SetLineColor(kGreen);
1183 didacticSurface->GetListOfFunctions()->Add(f3);
1185 fOutputListGood->Add(didacticSurface);
1189 } else { // if the fit is of poor quality revert to the original rho estimate
1190 switch (fRunModeType) { // again see if we want to save the fit
1192 static Int_t didacticCounterWorst(0);
1193 if(fRandom->Uniform(0, 100) > fPercentageOfFits) break;
1194 TProfile* didacticProfile = (TProfile*)_tempSwap.Clone(Form("Fit_%i_1-CDF_%.3f_cen_%i_%s", didacticCounterWorst, CDF, fInCentralitySelection, detector.Data() ));
1195 TF1* didactifFit = (TF1*)fFitModulation->Clone(Form("fit_%i_p_%.3f_cen_%i_%s", didacticCounterWorst, CDF, fInCentralitySelection, detector.Data()));
1196 didacticProfile->GetListOfFunctions()->Add(didactifFit);
1197 fOutputListBad->Add(didacticProfile);
1198 didacticCounterWorst++;
1202 switch (fFitModulationType) {
1203 case kNoFit : break; // nothing to do
1204 case kCombined : fFitModulation->SetParameter(7, 0); // no break
1205 case kFourierSeries : fFitModulation->SetParameter(7, 0); // no break
1206 default : { // needs to be done if there was a poor fit
1207 fFitModulation->SetParameter(3, 0);
1208 fFitModulation->SetParameter(0, fLocalRho->GetVal());
1211 return kFALSE; // return false if the fit is rejected
1215 //_____________________________________________________________________________
1216 Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(AliVEvent* event)
1219 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1220 if(!event || !AliAnalysisTaskEmcal::IsEventSelected()) return kFALSE;
1221 if(TMath::Abs(InputEvent()->GetPrimaryVertex()->GetZ()) > 10.) return kFALSE;
1222 // aod and esd specific checks
1223 switch (fDataType) {
1225 AliESDEvent* esdEvent = static_cast<AliESDEvent*>(InputEvent());
1226 if( (!esdEvent) || (TMath::Abs(esdEvent->GetPrimaryVertexSPD()->GetZ() - esdEvent->GetPrimaryVertex()->GetZ()) > .5) ) return kFALSE;
1229 AliAODEvent* aodEvent = static_cast<AliAODEvent*>(InputEvent());
1230 if( (!aodEvent) || (TMath::Abs(aodEvent->GetPrimaryVertexSPD()->GetZ() - aodEvent->GetPrimaryVertex()->GetZ()) > .5) ) return kFALSE;
1234 fCent = InputEvent()->GetCentrality()->GetCentralityPercentile("V0M");
1235 if(fCent <= fCentralityClasses->At(0) || fCent >= fCentralityClasses->At(fCentralityClasses->GetSize()-1) || TMath::Abs(fCent-InputEvent()->GetCentrality()->GetCentralityPercentile("TRK")) > 5.) return kFALSE;
1236 // determine centrality class
1237 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) {
1238 if(fCent >= fCentralityClasses->At(i) && fCent <= fCentralityClasses->At(1+i)) {
1239 fInCentralitySelection = i;
1242 if(fExplicitOutlierCut == 2010 || fExplicitOutlierCut == 2011) {
1243 if(!PassesCuts(fExplicitOutlierCut)) return kFALSE;
1245 if(fRho->GetVal() <= 0 ) return kFALSE;
1246 if(fFillQAHistograms) FillQAHistograms(event);
1249 //_____________________________________________________________________________
1250 Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(Int_t year)
1252 // additional centrality cut based on relation between tpc and global multiplicity
1253 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1254 AliAODEvent* event(dynamic_cast<AliAODEvent*>(InputEvent()));
1255 if(!event) return kFALSE;
1256 Int_t multTPC(0), multGlob(0), nTracks(InputEvent()->GetNumberOfTracks());
1257 for(Int_t iTracks = 0; iTracks < nTracks; iTracks++) {
1258 AliAODTrack* track = event->GetTrack(iTracks);
1259 if(!track) continue;
1260 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
1261 if (track->TestFilterBit(1) && track->Chi2perNDF() > 0.2) multTPC++;
1262 if (!track->TestFilterBit(16) || track->Chi2perNDF() < 0.1) continue;
1263 Double_t b[2] = {-99., -99.};
1264 Double_t bCov[3] = {-99., -99., -99.};
1265 if (track->PropagateToDCA(event->GetPrimaryVertex(), event->GetMagneticField(), 100., b, bCov) && TMath::Abs(b[0]) < 0.3 && TMath::Abs(b[1]) < 0.3) multGlob++;
1267 if(year == 2010 && multTPC > (-40.3+1.22*multGlob) && multTPC < (32.1+1.59*multGlob)) return kTRUE;
1268 if(year == 2011 && multTPC > (-36.73 + 1.48*multGlob) && multTPC < (62.87 + 1.78*multGlob)) return kTRUE;
1271 //_____________________________________________________________________________
1272 Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(const AliVCluster* cluster) const
1275 if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1276 if(!cluster) return kFALSE;
1279 //_____________________________________________________________________________
1280 void AliAnalysisTaskRhoVnModulation::FillHistogramsAfterSubtraction(Double_t psi2, Double_t psi3, Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) const
1283 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1284 FillTrackHistograms();
1285 /* FillClusterHistograms(); */
1286 FillJetHistograms(psi2, psi3);
1287 /* FillCorrectedClusterHistograms(); */
1288 FillEventPlaneHistograms(vzero, vzeroComb, tpc);
1289 FillRhoHistograms();
1290 FillDeltaPtHistograms(psi2, psi3);
1292 //_____________________________________________________________________________
1293 void AliAnalysisTaskRhoVnModulation::FillTrackHistograms() const
1295 // fill track histograms
1296 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1297 Int_t iTracks(fTracks->GetEntriesFast()), iAcceptedTracks(0);
1298 for(Int_t i(0); i < iTracks; i++) {
1299 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1300 if(!PassesCuts(track)) continue;
1302 fHistPicoTrackPt[fInCentralitySelection]->Fill(track->Pt());
1303 if(fFillQAHistograms) FillQAHistograms(track);
1305 fHistPicoTrackMult[fInCentralitySelection]->Fill(iAcceptedTracks);
1307 //_____________________________________________________________________________
1308 void AliAnalysisTaskRhoVnModulation::FillClusterHistograms() const
1310 // fill cluster histograms
1311 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1312 /* Int_t iClusters(fCaloClusters->GetEntriesFast());
1313 for(Int_t i(0); i < iClusters; i++) {
1314 AliVCluster* cluster = static_cast<AliVCluster*>(fCaloClusters->At(iClusters));
1315 if (!PassesCuts(cluster)) continue;
1316 TLorentzVector clusterLorentzVector;
1317 cluster->GetMomentum(clusterLorentzVector, const_cast<Double_t*>(fVertex));
1318 fHistClusterPt[fInCentralitySelection]->Fill(clusterLorentzVector.Pt());
1319 fHistClusterEta[fInCentralitySelection]->Fill(clusterLorentzVector.Eta());
1320 fHistClusterPhi[fInCentralitySelection]->Fill(clusterLorentzVector.Phi());
1324 //_____________________________________________________________________________
1325 void AliAnalysisTaskRhoVnModulation::FillCorrectedClusterHistograms() const
1327 // fill clusters after hadronic correction FIXME implement
1328 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1330 //_____________________________________________________________________________
1331 void AliAnalysisTaskRhoVnModulation::FillEventPlaneHistograms(Double_t vzero[2][2], Double_t* vzeroComb, Double_t* tpc) const
1333 // fill event plane histograms
1334 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1335 fHistPsiControl->Fill(0.5, vzero[0][0]); // vzero a psi2
1336 fHistPsiControl->Fill(1.5, vzero[1][0]); // vzero c psi2
1337 fHistPsiControl->Fill(2.5, tpc[0]); // tpc psi 2
1338 fHistPsiControl->Fill(5.5, vzero[0][1]); // vzero a psi3
1339 fHistPsiControl->Fill(6.5, vzero[1][1]); // vzero b psi3
1340 fHistPsiControl->Fill(7.5, tpc[1]); // tpc psi 3
1341 fHistPsiVZEROA->Fill(vzero[0][0]);
1342 fHistPsiVZEROC->Fill(vzero[1][0]);
1343 fHistPsiVZERO->Fill(vzeroComb[0]);
1344 fHistPsiTPC->Fill(tpc[0]);
1345 fHistPsiSpread->Fill(0.5, TMath::Abs(vzero[0][0]-vzero[1][0]));
1346 fHistPsiSpread->Fill(1.5, TMath::Abs(vzero[0][0]-tpc[0]));
1347 fHistPsiSpread->Fill(2.5, TMath::Abs(vzero[1][0]-tpc[0]));
1349 //_____________________________________________________________________________
1350 void AliAnalysisTaskRhoVnModulation::FillRhoHistograms() const
1352 // fill rho histograms
1353 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1354 fHistRhoPackage[fInCentralitySelection]->Fill(fLocalRho->GetVal()); // save the rho estimate from the emcal jet package
1355 // get multiplicity FIXME inefficient
1356 Int_t iTracks(fTracks->GetEntriesFast()), mult(0), iJets(fJets->GetEntriesFast());
1357 for(Int_t i(0); i < iTracks; i ++) { if(PassesCuts(static_cast<AliVTrack*>(fTracks->At(i)))) mult++; }
1358 Double_t rho(fLocalRho->GetLocalVal(TMath::Pi(), TMath::Pi(), fLocalRho->GetVal()));
1359 fHistRho[fInCentralitySelection]->Fill(rho);
1360 fHistRhoVsMult->Fill(mult, rho);
1361 fHistRhoVsCent->Fill(fCent, rho);
1362 for(Int_t i(0); i < iJets; i++) {
1363 AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
1364 if(!PassesCuts(jet)) continue;
1365 fHistRhoAVsMult->Fill(mult, rho * jet->Area());
1366 fHistRhoAVsCent->Fill(fCent, rho * jet->Area());
1369 //_____________________________________________________________________________
1370 void AliAnalysisTaskRhoVnModulation::FillDeltaPtHistograms(Double_t psi2, Double_t psi3) const
1372 // fill delta pt histograms
1373 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1375 AliEmcalJet* leadingJet(0x0);
1376 static Int_t sJets[9999] = {-1};
1377 GetSortedArray(sJets, fJets);
1378 do { // get the leading jet
1379 leadingJet = static_cast<AliEmcalJet*>(fJets->At(sJets[i]));
1382 while (!PassesCuts(leadingJet)&&i<fJets->GetEntriesFast());
1383 if(!leadingJet && fDebug > 0) printf(" > failed to retrieve leading jet ! < \n");
1384 const Float_t areaRC = fRandomConeRadius*fRandomConeRadius*TMath::Pi();
1385 // we're retrieved the leading jet, now get a random cone
1386 for(i = 0; i < fMaxCones; i++) {
1387 Float_t pt(0), eta(0), phi(0);
1388 // get a random cone without constraints on leading jet position
1389 CalculateRandomCone(pt, eta, phi, 0x0);
1391 if(fFillQAHistograms) fHistRCPhiEta[fInCentralitySelection]->Fill(phi, eta);
1392 fHistRhoVsRCPt[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, fJetRadius, fLocalRho->GetVal())*areaRC);
1393 fHistRCPt[fInCentralitySelection]->Fill(pt);
1394 fHistDeltaPtDeltaPhi2[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, fJetRadius, fLocalRho->GetVal()));
1395 fHistDeltaPtDeltaPhi3[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt - areaRC*fLocalRho->GetLocalVal(phi, fJetRadius, fLocalRho->GetVal()));
1397 // get a random cone excluding leading jet area
1398 CalculateRandomCone(pt, eta, phi, leadingJet);
1400 if(fFillQAHistograms) fHistRCPhiEtaExLJ[fInCentralitySelection]->Fill(phi, eta);
1401 fHistRhoVsRCPtExLJ[fInCentralitySelection]->Fill(pt, fLocalRho->GetLocalVal(phi, fJetRadius, fRho->GetVal())*areaRC);
1402 fHistRCPtExLJ[fInCentralitySelection]->Fill(pt);
1403 fHistDeltaPtDeltaPhi2ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*fLocalRho->GetLocalVal(phi, fJetRadius, fLocalRho->GetVal()));
1404 fHistDeltaPtDeltaPhi3ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt - areaRC*fLocalRho->GetLocalVal(phi, fJetRadius, fLocalRho->GetVal()));
1406 // get a random cone in an event with randomized phi and eta
1407 /* CalculateRandomCone(pt, eta, phi, 0x0, kTRUE);
1409 fHistRCPhiEtaRand[fInCentralitySelection]->Fill(phi, eta);
1410 fHistRhoVsRCPtRand[fInCentralitySelection]->Fill(pt, RhoVal(phi, fJetRadius, fRho->GetVal())*areaRC);
1411 fHistRCPtRand[fInCentralitySelection]->Fill(pt);
1412 fHistDeltaPtDeltaPhi2Rand[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*RhoVal(phi, fJetRadius, fRho->GetVal()));
1413 fHistDeltaPtDeltaPhi3Rand[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt - areaRC*RhoVal(phi, fJetRadius, fRho->GetVal()));
1417 //_____________________________________________________________________________
1418 void AliAnalysisTaskRhoVnModulation::FillJetHistograms(Double_t psi2, Double_t psi3) const
1420 // fill jet histograms
1421 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1422 Int_t iJets(fJets->GetEntriesFast());
1423 for(Int_t i(0); i < iJets; i++) {
1424 AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
1425 if(PassesCuts(jet)) {
1426 Double_t pt(jet->Pt()), area(jet->Area()), eta(jet->Eta()), phi(jet->Phi());
1427 Double_t rho(fLocalRho->GetLocalVal(phi, fJetRadius, fLocalRho->GetVal()));
1428 fHistJetPtRaw[fInCentralitySelection]->Fill(pt);
1429 fHistJetPt[fInCentralitySelection]->Fill(pt-area*rho);
1430 if(fFillQAHistograms) fHistJetEtaPhi[fInCentralitySelection]->Fill(eta, phi);
1431 fHistJetPtArea[fInCentralitySelection]->Fill(pt-area*rho, area);
1432 fHistJetPsi2Pt[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt-area*rho);
1433 fHistJetPsi3Pt[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt-area*rho);
1434 fHistJetPtConstituents[fInCentralitySelection]->Fill(pt-area*rho, jet->Nch());
1435 fHistJetEtaRho[fInCentralitySelection]->Fill(eta, pt/area);
1436 if(fSubtractJetPt) jet->SetPtSub(pt-area*rho); // if requested, save the subtracted jet pt
1437 } else if(fSubtractJetPt) jet->SetPtSub(-999.);
1440 //_____________________________________________________________________________
1441 void AliAnalysisTaskRhoVnModulation::FillQAHistograms(AliVTrack* vtrack) const
1443 // fill qa histograms for pico tracks
1445 AliPicoTrack* track = static_cast<AliPicoTrack*>(vtrack);
1446 fHistRunnumbersPhi->Fill(fMappedRunNumber, track->Phi());
1447 fHistRunnumbersEta->Fill(fMappedRunNumber, track->Eta());
1448 Int_t type((int)(track->GetTrackType()));
1451 fHistPicoCat1[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
1454 fHistPicoCat2[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
1457 fHistPicoCat3[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
1462 //_____________________________________________________________________________
1463 void AliAnalysisTaskRhoVnModulation::FillQAHistograms(AliVEvent* vevent)
1465 // fill qa histograms for events
1467 fHistVertexz->Fill(vevent->GetPrimaryVertex()->GetZ());
1468 fHistCentrality->Fill(fCent);
1469 Int_t runNumber(InputEvent()->GetRunNumber());
1470 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};
1471 for(fMappedRunNumber = 0; fMappedRunNumber < 64; fMappedRunNumber++) {
1472 if(runs[fMappedRunNumber]==runNumber) break;
1475 //_____________________________________________________________________________
1476 void AliAnalysisTaskRhoVnModulation::FillAnalysisSummaryHistogram() const
1478 // fill the analysis summary histrogram, saves all relevant analysis settigns
1479 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1480 fHistAnalysisSummary->GetXaxis()->SetBinLabel(1, "fJetRadius");
1481 fHistAnalysisSummary->SetBinContent(1, fJetRadius);
1482 fHistAnalysisSummary->GetXaxis()->SetBinLabel(2, "fPtBiasJetTrack");
1483 fHistAnalysisSummary->SetBinContent(2, fPtBiasJetTrack);
1484 fHistAnalysisSummary->GetXaxis()->SetBinLabel(3, "fPtBiasJetClus");
1485 fHistAnalysisSummary->SetBinContent(3, fPtBiasJetClus);
1486 fHistAnalysisSummary->GetXaxis()->SetBinLabel(4, "fJetPtCut");
1487 fHistAnalysisSummary->SetBinContent(4, fJetPtCut);
1488 fHistAnalysisSummary->GetXaxis()->SetBinLabel(5, "fJetAreaCut");
1489 fHistAnalysisSummary->SetBinContent(5, fJetAreaCut);
1490 fHistAnalysisSummary->GetXaxis()->SetBinLabel(6, "fPercAreaCut");
1491 fHistAnalysisSummary->SetBinContent(6, fPercAreaCut);
1492 fHistAnalysisSummary->GetXaxis()->SetBinLabel(7, "fAreaEmcCut");
1493 fHistAnalysisSummary->SetBinContent(7, fAreaEmcCut);
1494 fHistAnalysisSummary->GetXaxis()->SetBinLabel(8, "fJetMinEta");
1495 fHistAnalysisSummary->SetBinContent(8, fJetMinEta);
1496 fHistAnalysisSummary->GetXaxis()->SetBinLabel(9, "fJetMaxEta");
1497 fHistAnalysisSummary->SetBinContent(9, fJetMaxEta);
1498 fHistAnalysisSummary->GetXaxis()->SetBinLabel(10, "fJetMinPhi");
1499 fHistAnalysisSummary->SetBinContent(10, fJetMinPhi);
1500 fHistAnalysisSummary->GetXaxis()->SetBinLabel(11, "fJetMaxPhi");
1501 fHistAnalysisSummary->SetBinContent(11, fJetMaxPhi);
1502 fHistAnalysisSummary->GetXaxis()->SetBinLabel(12, "fMaxClusterPt");
1503 fHistAnalysisSummary->SetBinContent(12, fMaxClusterPt);
1504 fHistAnalysisSummary->GetXaxis()->SetBinLabel(13, "fMaxTrackPt");
1505 fHistAnalysisSummary->SetBinContent(13, fMaxTrackPt);
1506 fHistAnalysisSummary->GetXaxis()->SetBinLabel(14, "fLeadingHadronType");
1507 fHistAnalysisSummary->SetBinContent(14, fLeadingHadronType);
1508 fHistAnalysisSummary->GetXaxis()->SetBinLabel(15, "fAnaType");
1509 fHistAnalysisSummary->SetBinContent(15, fAnaType);
1510 fHistAnalysisSummary->GetXaxis()->SetBinLabel(16, "fForceBeamType");
1511 fHistAnalysisSummary->SetBinContent(16, fForceBeamType);
1512 fHistAnalysisSummary->GetXaxis()->SetBinLabel(17, "fMinCent");
1513 fHistAnalysisSummary->SetBinContent(17, fMinCent);
1514 fHistAnalysisSummary->GetXaxis()->SetBinLabel(18, "fMaxCent");
1515 fHistAnalysisSummary->SetBinContent(18, fMaxCent);
1516 fHistAnalysisSummary->GetXaxis()->SetBinLabel(19, "fMinVz");
1517 fHistAnalysisSummary->SetBinContent(19, fMinVz);
1518 fHistAnalysisSummary->GetXaxis()->SetBinLabel(20, "fMaxVz");
1519 fHistAnalysisSummary->SetBinContent(20, fMaxVz);
1520 fHistAnalysisSummary->GetXaxis()->SetBinLabel(21, "fOffTrigger");
1521 fHistAnalysisSummary->SetBinContent(21, fOffTrigger);
1522 fHistAnalysisSummary->GetXaxis()->SetBinLabel(22, "fClusPtCut");
1523 fHistAnalysisSummary->SetBinContent(22, fClusPtCut);
1524 fHistAnalysisSummary->GetXaxis()->SetBinLabel(23, "fTrackPtCut");
1525 fHistAnalysisSummary->SetBinContent(23, fTrackPtCut);
1526 fHistAnalysisSummary->GetXaxis()->SetBinLabel(24, "fTrackMinEta");
1527 fHistAnalysisSummary->SetBinContent(24, fTrackMinEta);
1528 fHistAnalysisSummary->GetXaxis()->SetBinLabel(25, "fTrackMaxEta");
1529 fHistAnalysisSummary->SetBinContent(25, fTrackMaxEta);
1530 fHistAnalysisSummary->GetXaxis()->SetBinLabel(26, "fTrackMinPhi");
1531 fHistAnalysisSummary->SetBinContent(26, fTrackMinPhi);
1532 fHistAnalysisSummary->GetXaxis()->SetBinLabel(27, "fTrackMaxPhi");
1533 fHistAnalysisSummary->SetBinContent(27, fTrackMaxPhi);
1534 fHistAnalysisSummary->GetXaxis()->SetBinLabel(28, "fClusTimeCutLow");
1535 fHistAnalysisSummary->SetBinContent(28, fClusTimeCutLow);
1536 fHistAnalysisSummary->GetXaxis()->SetBinLabel(29, "fClusTimeCutUp");
1537 fHistAnalysisSummary->SetBinContent(29, fClusTimeCutUp);
1538 fHistAnalysisSummary->GetXaxis()->SetBinLabel(30, "fMinPtTrackInEmcal");
1539 fHistAnalysisSummary->SetBinContent(30, fMinPtTrackInEmcal);
1540 fHistAnalysisSummary->GetXaxis()->SetBinLabel(31, "fEventPlaneVsEmcal");
1541 fHistAnalysisSummary->SetBinContent(31, fEventPlaneVsEmcal);
1542 fHistAnalysisSummary->GetXaxis()->SetBinLabel(32, "fMinEventPlane");
1543 fHistAnalysisSummary->SetBinContent(32, fMaxEventPlane);
1544 fHistAnalysisSummary->GetXaxis()->SetBinLabel(33, "fRandomConeRadius");
1545 fHistAnalysisSummary->SetBinContent(33, fRandomConeRadius);
1546 fHistAnalysisSummary->GetXaxis()->SetBinLabel(34, "fitModulationType");
1547 fHistAnalysisSummary->SetBinContent(34, (int)fFitModulationType);
1548 fHistAnalysisSummary->GetXaxis()->SetBinLabel(35, "runModeType");
1549 fHistAnalysisSummary->SetBinContent(35, (int)fRunModeType);
1550 fHistAnalysisSummary->GetXaxis()->SetBinLabel(36, "data type");
1551 fHistAnalysisSummary->SetBinContent(36, (int)fDataType);
1552 fHistAnalysisSummary->GetXaxis()->SetBinLabel(37, "iterator");
1553 fHistAnalysisSummary->SetBinContent(37, 1.);
1554 fHistAnalysisSummary->GetXaxis()->SetBinLabel(38, "fMinPvalue");
1555 fHistAnalysisSummary->SetBinContent(38, fMinPvalue);
1556 fHistAnalysisSummary->GetXaxis()->SetBinLabel(39, "fMaxPvalue");
1557 fHistAnalysisSummary->SetBinContent(39, fMaxPvalue);
1558 fHistAnalysisSummary->GetXaxis()->SetBinLabel(40, "fExcludeLeadingJetsFromFit");
1559 fHistAnalysisSummary->SetBinContent(40, fExcludeLeadingJetsFromFit);
1560 fHistAnalysisSummary->GetXaxis()->SetBinLabel(41, "fRebinSwapHistoOnTheFly");
1561 fHistAnalysisSummary->SetBinContent(41, (int)fRebinSwapHistoOnTheFly);
1562 fHistAnalysisSummary->GetXaxis()->SetBinLabel(42, "fUsePtWeight");
1563 fHistAnalysisSummary->SetBinContent(42, (int)fUsePtWeight);
1564 fHistAnalysisSummary->GetXaxis()->SetBinLabel(43, "fMinLeadingHadronPt");
1565 fHistAnalysisSummary->SetBinContent(43, fMinLeadingHadronPt);
1566 fHistAnalysisSummary->GetXaxis()->SetBinLabel(44, "fExplicitOutlierCut");
1567 fHistAnalysisSummary->SetBinContent(44, fExplicitOutlierCut);
1568 fHistAnalysisSummary->GetXaxis()->SetBinLabel(45, "fLocalJetMinEta");
1569 fHistAnalysisSummary->SetBinContent(45,fLocalJetMinEta );
1570 fHistAnalysisSummary->GetXaxis()->SetBinLabel(46, "fLocalJetMaxEta");
1571 fHistAnalysisSummary->SetBinContent(46, fLocalJetMaxEta);
1572 fHistAnalysisSummary->GetXaxis()->SetBinLabel(47, "fLocalJetMinPhi");
1573 fHistAnalysisSummary->SetBinContent(47, fLocalJetMinPhi);
1574 fHistAnalysisSummary->GetXaxis()->SetBinLabel(48, "fLocalJetMaxPhi");
1575 fHistAnalysisSummary->SetBinContent(48, fLocalJetMaxPhi);
1576 fHistAnalysisSummary->GetXaxis()->SetBinLabel(49, "fSoftTrackMinPt");
1577 fHistAnalysisSummary->SetBinContent(49, fSoftTrackMinPt);
1578 fHistAnalysisSummary->GetXaxis()->SetBinLabel(50, "fSoftTrackMaxPt");
1579 fHistAnalysisSummary->SetBinContent(50, fSoftTrackMaxPt);
1580 fHistAnalysisSummary->GetXaxis()->SetBinLabel(51, "fMaxCones");
1581 fHistAnalysisSummary->SetBinContent(51, fMaxCones);
1582 fHistAnalysisSummary->GetXaxis()->SetBinLabel(52, "fUseScaledRho");
1583 fHistAnalysisSummary->SetBinContent(52, fUseScaledRho);
1585 //_____________________________________________________________________________
1586 void AliAnalysisTaskRhoVnModulation::Terminate(Option_t *)
1589 switch (fRunModeType) {
1591 printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1592 if(fFillQAHistograms) {
1593 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};
1594 for(Int_t i(0); i < 64; i++) {
1595 fHistRunnumbersPhi->GetXaxis()->SetBinLabel(i+1, Form("%i", runs[i]));
1596 fHistRunnumbersEta->GetXaxis()->SetBinLabel(i+1, Form("%i", runs[i]));
1598 fHistRunnumbersPhi->GetXaxis()->SetBinLabel(65, "undetermined");
1599 fHistRunnumbersEta->GetXaxis()->SetBinLabel(65, "undetermined");
1601 AliAnalysisTaskRhoVnModulation::Dump();
1602 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));
1607 //_____________________________________________________________________________
1608 void AliAnalysisTaskRhoVnModulation::SetModulationFit(TF1* fit)
1610 // set modulation fit
1611 if (fFitModulation) delete fFitModulation;
1612 fFitModulation = fit;
1614 //_____________________________________________________________________________
1615 TH1F* AliAnalysisTaskRhoVnModulation::GetResolutionFromOuptutFile(detectorType det, Int_t h, TArrayD* cen)
1617 // INTERFACE METHOD FOR OUTPUTFILE
1618 // get the detector resolution, user has ownership of the returned histogram
1620 printf(" > Please add fOutputList first < \n");
1624 (cen) ? r = new TH1F("R", "R", cen->GetSize()-1, cen->GetArray()) : r = new TH1F("R", "R", 10, 0, 10);
1625 if(!cen) r->GetXaxis()->SetTitle("number of centrality bin");
1626 r->GetYaxis()->SetTitle(Form("Resolution #Psi_{%i}", h));
1627 for(Int_t i(0); i < 10; i++) {
1628 TProfile* temp((TProfile*)fOutputList->FindObject(Form("fProfV%iResolution_%i", h, i)));
1630 Double_t a(temp->GetBinContent(3)), b(temp->GetBinContent(5)), c(temp->GetBinContent(7));
1631 Double_t d(temp->GetBinContent(9)), e(temp->GetBinContent(10)), f(temp->GetBinContent(11));
1632 Double_t _a(temp->GetBinError(3)), _b(temp->GetBinError(5)), _c(temp->GetBinError(7));
1633 Double_t _d(temp->GetBinError(9)), _e(temp->GetBinError(10)), _f(temp->GetBinError(11));
1634 if(a <= 0 || b <= 0 || c <= 0 || d <= 0 || e <= 0 || f <= 0) continue;
1637 r->SetBinContent(1+i, TMath::Sqrt((a*b)/c));
1638 if(i==0) r->SetNameTitle("VZEROA resolution", "VZEROA resolution");
1639 r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c));
1642 r->SetBinContent(1+i, TMath::Sqrt((a*c)/b));
1643 if(i==0) r->SetNameTitle("VZEROC resolution", "VZEROC resolution");
1644 r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c));
1647 r->SetBinContent(1+i, TMath::Sqrt((b*c)/a));
1648 if(i==0) r->SetNameTitle("TPC resolution", "TPC resolution");
1649 r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c));
1652 r->SetBinContent(1+i, TMath::Sqrt((d*e)/f));
1653 if(i==0) r->SetNameTitle("VZEROComb resolution", "VZEROComb resolution");
1654 r->SetBinError(1+i, TMath::Sqrt(_d*_d+_e*_e+_f*_f));
1661 //_____________________________________________________________________________
1662 TH1F* AliAnalysisTaskRhoVnModulation::CorrectForResolutionDiff(TH1F* v, detectorType det, TArrayD* cen, Int_t c, Int_t h)
1664 // INTERFACE METHOD FOR OUTPUT FILE
1665 // correct the supplied differential vn histogram v for detector resolution
1666 TH1F* r(GetResolutionFromOuptutFile(det, h, cen));
1668 printf(" > Couldn't find resolution < \n");
1671 Double_t res(1./r->GetBinContent(1+r->FindBin(c)));
1672 TF1* line = new TF1("line", "pol0", 0, 200);
1673 line->SetParameter(0, res);
1674 return (v->Multiply(line)) ? v : 0x0;
1676 //_____________________________________________________________________________
1677 TH1F* AliAnalysisTaskRhoVnModulation::CorrectForResolutionInt(TH1F* v, detectorType det, TArrayD* cen, Int_t h)
1679 // INTERFACE METHOD FOR OUTPUT FILE
1680 // correct the supplied intetrated vn histogram v for detector resolution
1681 // integrated vn must have the same centrality binning as the resolotion correction
1682 TH1F* r(GetResolutionFromOuptutFile(det, h, cen));
1683 return (v->Divide(v, r)) ? v : 0x0;
1685 //_____________________________________________________________________________
1686 TH1F* AliAnalysisTaskRhoVnModulation::GetDifferentialQC(TProfile* refCumulants, TProfile* diffCumlants, TArrayD* ptBins, Int_t h)
1688 // get differential QC
1689 Double_t r(refCumulants->GetBinContent(h-1)); // v2 reference flow
1690 if(r > 0) r = TMath::Sqrt(r);
1691 TH1F* qc = new TH1F(Form("QC2v%i", h), Form("QC2v%i", h), ptBins->GetSize()-1, ptBins->GetArray());
1692 Double_t a(0), b(0), c(0); // dummy variables
1693 for(Int_t i(0); i < ptBins->GetSize(); i++) {
1695 a = diffCumlants->GetBinContent(1+i);
1696 b = diffCumlants->GetBinError(1+i);
1698 qc->SetBinContent(1+i, c);
1699 (a <= 0 || b <= 0) ? qc->SetBinError(1+i, b) : qc->SetBinError(1+i, TMath::Sqrt(c*c*b*b/(a*a)));
1705 //_____________________________________________________________________________