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changed centrality method
[u/mrichter/AliRoot.git] / PWGJE / EMCALJetTasks / UserTasks / AliAnalysisTaskRhoVnModulation.cxx
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38d2189d 1/**************************************************************************
2 * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
3 * *
4 * Author: The ALICE Off-line Project. *
5 * Contributors are mentioned in the code where appropriate. *
6 * *
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 **************************************************************************/
15
16/*
17 * analysis task for jet flow preparation
18 *
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:
21 * - (anti-kt) jets
22 * - background estimate rho
23 * - pico tracks
24 * aod's and esd's are handled transparently
25 * the task will attempt to estimate a phi-dependent background density rho
847e45e0 26 * by fitting vn harmonics to the dpt/dphi distribution
38d2189d 27 *
28 * author: Redmer Alexander Bertens, Utrecht Univeristy, Utrecht, Netherlands
29 * rbertens@cern.ch, rbertens@nikhef.nl, r.a.bertens@uu.nl
30 */
31
1460d7da 32// root includes
38d2189d 33#include <TStyle.h>
34#include <TRandom3.h>
35#include <TChain.h>
36#include <TMath.h>
37#include <TF1.h>
847e45e0 38#include <TF2.h>
38d2189d 39#include <TH1F.h>
40#include <TH2F.h>
41#include <TProfile.h>
1460d7da 42// aliroot includes
38d2189d 43#include <AliAnalysisTask.h>
44#include <AliAnalysisManager.h>
45#include <AliCentrality.h>
46#include <AliVVertex.h>
47#include <AliESDEvent.h>
48#include <AliAODEvent.h>
b7453b38 49#include <AliAODTrack.h>
1460d7da 50// emcal jet framework includes
38d2189d 51#include <AliPicoTrack.h>
52#include <AliEmcalJet.h>
53#include <AliRhoParameter.h>
1460d7da 54// local includes
38d2189d 55#include "AliAnalysisTaskRhoVnModulation.h"
56
57
58class AliAnalysisTaskRhoVnModulation;
59using namespace std;
60
61ClassImp(AliAnalysisTaskRhoVnModulation)
62
63AliAnalysisTaskRhoVnModulation::AliAnalysisTaskRhoVnModulation() : AliAnalysisTaskEmcalJet("AliAnalysisTaskRhoVnModulation", kTRUE),
e2fde0c9 64 fDebug(0), fInitialized(0), fFillQAHistograms(kTRUE), fCentralityClasses(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fUsePtWeight(kTRUE), fDetectorType(kTPC), fFitModulationOptions("Q"), fRunModeType(kGrid), fDataType(kESD), fRandom(0), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fMinPvalue(0), 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.), fAbsVnHarmonics(kTRUE), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fUseV0EventPlaneFromHeader(kFALSE), fSetPtSub(kFALSE), fExplicitOutlierCut(-1), fMinLeadingHadronPt(0), 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), fHistPsiTPC(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0) {
38d2189d 65 for(Int_t i(0); i < 10; i++) {
847e45e0 66 fProfV2Resolution[i] = 0;
67 fProfV3Resolution[i] = 0;
38d2189d 68 fHistPicoTrackPt[i] = 0;
38d2189d 69 fHistPicoCat1[i] = 0;
70 fHistPicoCat2[i] = 0;
71 fHistPicoCat3[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;
79 fHistRho[i] = 0;
80 fHistRCPhiEta[i] = 0;
81 fHistRhoVsRCPt[i] = 0;
82 fHistRCPt[i] = 0;
fe4a8ccf 83 fHistDeltaPtDeltaPhi2[i] = 0;
84 fHistDeltaPtDeltaPhi3[i] = 0;
38d2189d 85 fHistRCPhiEtaExLJ[i] = 0;
86 fHistRhoVsRCPtExLJ[i] = 0;
87 fHistRCPtExLJ[i] = 0;
fe4a8ccf 88 fHistDeltaPtDeltaPhi2ExLJ[i] = 0;
89 fHistDeltaPtDeltaPhi3ExLJ[i] = 0;
406b7c22 90 /* fHistRCPhiEtaRand[i] = 0; */
91 /* fHistRhoVsRCPtRand[i] = 0; */
92 /* fHistRCPtRand[i] = 0; */
93 /* fHistDeltaPtDeltaPhi2Rand[i] = 0; */
94 /* fHistDeltaPtDeltaPhi3Rand[i] = 0; */
38d2189d 95 fHistJetPtRaw[i] = 0;
96 fHistJetPt[i] = 0;
97 fHistJetEtaPhi[i] = 0;
98 fHistJetPtArea[i] = 0;
99 fHistJetPtConstituents[i] = 0;
b43cf414 100 fHistJetEtaRho[i] = 0;
38d2189d 101 fHistJetPsiTPCPt[i] = 0;
102 fHistJetPsiVZEROAPt[i] = 0;
103 fHistJetPsiVZEROCPt[i] = 0;
fe4a8ccf 104 fHistDeltaPhi2VZEROA[i] = 0;
105 fHistDeltaPhi2VZEROC[i] = 0;
106 fHistDeltaPhi2TPC[i] = 0;
107 fHistDeltaPhi3VZEROA[i] = 0;
108 fHistDeltaPhi3VZEROC[i] = 0;
109 fHistDeltaPhi3TPC[i] = 0;
110 }
38d2189d 111 // default constructor
112}
113//_____________________________________________________________________________
114AliAnalysisTaskRhoVnModulation::AliAnalysisTaskRhoVnModulation(const char* name, runModeType type) : AliAnalysisTaskEmcalJet(name, kTRUE),
e2fde0c9 115 fDebug(0), fInitialized(0), fFillQAHistograms(kTRUE), fCentralityClasses(0), fUserSuppliedV2(0), fUserSuppliedV3(0), fUserSuppliedR2(0), fUserSuppliedR3(0), fNAcceptedTracks(0), fNAcceptedTracksQCn(0), fFitModulationType(kNoFit), fUsePtWeight(kTRUE), fDetectorType(kTPC), fFitModulationOptions("Q"), fRunModeType(type), fDataType(kESD), fRandom(0), fMappedRunNumber(0), fInCentralitySelection(-1), fFitModulation(0), fMinPvalue(0), 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.), fAbsVnHarmonics(kTRUE), fExcludeLeadingJetsFromFit(1.), fRebinSwapHistoOnTheFly(kTRUE), fPercentageOfFits(10.), fUseV0EventPlaneFromHeader(kFALSE), fSetPtSub(kFALSE), fExplicitOutlierCut(-1), fMinLeadingHadronPt(0), 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), fHistPsiTPC(0), fHistRhoVsMult(0), fHistRhoVsCent(0), fHistRhoAVsMult(0), fHistRhoAVsCent(0) {
38d2189d 116 for(Int_t i(0); i < 10; i++) {
847e45e0 117 fProfV2Resolution[i] = 0;
118 fProfV3Resolution[i] = 0;
38d2189d 119 fHistPicoTrackPt[i] = 0;
38d2189d 120 fHistPicoCat1[i] = 0;
121 fHistPicoCat2[i] = 0;
122 fHistPicoCat3[i] = 0;
123 /* fHistClusterPt[i] = 0; */
124 /* fHistClusterPhi[i] = 0; */
fe4a8ccf 125 /* fHistClusterEta[i] = 0; */
38d2189d 126 /* fHistClusterCorrPt[i] = 0; */
127 /* fHistClusterCorrPhi[i] = 0; */
128 /* fHistClusterCorrEta[i] = 0; */
129 fHistRhoPackage[i] = 0;
130 fHistRho[i] = 0;
131 fHistRCPhiEta[i] = 0;
132 fHistRhoVsRCPt[i] = 0;
133 fHistRCPt[i] = 0;
fe4a8ccf 134 fHistDeltaPtDeltaPhi2[i] = 0;
135 fHistDeltaPtDeltaPhi3[i] = 0;
38d2189d 136 fHistRCPhiEtaExLJ[i] = 0;
137 fHistRhoVsRCPtExLJ[i] = 0;
138 fHistRCPtExLJ[i] = 0;
fe4a8ccf 139 fHistDeltaPtDeltaPhi2ExLJ[i] = 0;
140 fHistDeltaPtDeltaPhi3ExLJ[i] = 0;
406b7c22 141 /* fHistRCPhiEtaRand[i] = 0; */
142 /* fHistRhoVsRCPtRand[i] = 0; */
143 /* fHistRCPtRand[i] = 0; */
144 /* fHistDeltaPtDeltaPhi2Rand[i] = 0; */
145 /* fHistDeltaPtDeltaPhi3Rand[i] = 0; */
38d2189d 146 fHistJetPtRaw[i] = 0;
147 fHistJetPt[i] = 0;
148 fHistJetEtaPhi[i] = 0;
149 fHistJetPtArea[i] = 0;
150 fHistJetPtConstituents[i] = 0;
b43cf414 151 fHistJetEtaRho[i] = 0;
38d2189d 152 fHistJetPsiTPCPt[i] = 0;
153 fHistJetPsiVZEROAPt[i] = 0;
154 fHistJetPsiVZEROCPt[i] = 0;
fe4a8ccf 155 fHistDeltaPhi2VZEROA[i] = 0;
156 fHistDeltaPhi2VZEROC[i] = 0;
157 fHistDeltaPhi2TPC[i] = 0;
158 fHistDeltaPhi3VZEROA[i] = 0;
159 fHistDeltaPhi3VZEROC[i] = 0;
160 fHistDeltaPhi3TPC[i] = 0;
38d2189d 161 }
162 // constructor
163 DefineInput(0, TChain::Class());
164 DefineOutput(1, TList::Class());
165 switch (fRunModeType) {
166 case kLocal : {
167 gStyle->SetOptFit(1);
168 DefineOutput(2, TList::Class());
169 DefineOutput(3, TList::Class());
170 } break;
171 default: fDebug = -1; // suppress debug info explicitely when not running locally
172 }
173}
174//_____________________________________________________________________________
175AliAnalysisTaskRhoVnModulation::~AliAnalysisTaskRhoVnModulation()
176{
177 // destructor
3531e13d 178 if(fOutputList) delete fOutputList;
179 if(fOutputListGood) delete fOutputListGood;
180 if(fOutputListBad) delete fOutputListBad;
181 if(fFitModulation) delete fFitModulation;
182 if(fHistSwap) delete fHistSwap;
183 if(fCentralityClasses) delete fCentralityClasses;
38d2189d 184}
185//_____________________________________________________________________________
186Bool_t AliAnalysisTaskRhoVnModulation::InitializeAnalysis()
187{
188 // initialize the anaysis
189 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
5bd4db5f 190 if(fRandomConeRadius <= 0) fRandomConeRadius = fJetRadius;
191 if(fLocalJetMinEta > -10 && fLocalJetMaxEta > -10) SetJetEtaLimits(fLocalJetMinEta, fLocalJetMaxEta);
192 if(fLocalJetMinPhi > -10 && fLocalJetMaxPhi > -10) SetJetPhiLimits(fLocalJetMinPhi, fLocalJetMaxPhi);
38d2189d 193 if(fMinDisanceRCtoLJ==0) fMinDisanceRCtoLJ = .5*fJetRadius;
194 if(dynamic_cast<AliAODEvent*>(InputEvent())) fDataType = kAOD; // determine the datatype
195 else if(dynamic_cast<AliESDEvent*>(InputEvent())) fDataType = kESD;
b43cf414 196 fHistAnalysisSummary->SetBinContent(36, (int)fDataType);
38d2189d 197 if(!fRandom) fRandom = new TRandom3(0); // get a randomized if one hasn't been user-supplied
198 switch (fFitModulationType) {
199 case kNoFit : { SetModulationFit(new TF1("fix_kNoFit", "[0]", 0, TMath::TwoPi())); } break;
200 case kV2 : {
201 SetModulationFit(new TF1("fit_kV2", "[0]*([1]+[2]*[3]*TMath::Cos([2]*(x-[4])))", 0, TMath::TwoPi()));
202 fFitModulation->SetParameter(0, 0.); // normalization
203 fFitModulation->SetParameter(3, 0.2); // v2
204 fFitModulation->FixParameter(1, 1.); // constant
205 fFitModulation->FixParameter(2, 2.); // constant
206 } break;
207 case kV3: {
208 SetModulationFit(new TF1("fit_kV3", "[0]*([1]+[2]*[3]*TMath::Cos([2]*(x-[4])))", 0, TMath::TwoPi()));
209 fFitModulation->SetParameter(0, 0.); // normalization
210 fFitModulation->SetParameter(3, 0.2); // v3
211 fFitModulation->FixParameter(1, 1.); // constant
212 fFitModulation->FixParameter(2, 3.); // constant
213 } break;
9ad3a4e7 214 default : { // for the combined fit, the 'direct fourier series' or the user supplied vn values we use v2 and v3
3531e13d 215 SetModulationFit(new TF1("fit_kCombined", "[0]*([1]+[2]*([3]*TMath::Cos([2]*(x-[4]))+[7]*TMath::Cos([5]*(x-[6]))))", 0, TMath::TwoPi()));
38d2189d 216 fFitModulation->SetParameter(0, 0.); // normalization
217 fFitModulation->SetParameter(3, 0.2); // v2
218 fFitModulation->FixParameter(1, 1.); // constant
219 fFitModulation->FixParameter(2, 2.); // constant
220 fFitModulation->FixParameter(5, 3.); // constant
221 fFitModulation->SetParameter(7, 0.2); // v3
222 } break;
38d2189d 223 }
224 switch (fRunModeType) {
225 case kGrid : { fFitModulationOptions += "N0"; } break;
226 default : break;
227 }
5bd4db5f 228 FillAnalysisSummaryHistogram();
38d2189d 229 return kTRUE;
230}
231//_____________________________________________________________________________
847e45e0 232TH1F* AliAnalysisTaskRhoVnModulation::BookTH1F(const char* name, const char* x, Int_t bins, Double_t min, Double_t max, Int_t c, Bool_t append)
38d2189d 233{
234 // book a TH1F and connect it to the output container
235 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
236 if(!fOutputList) return 0x0;
3531e13d 237 TString title(name);
238 if(c!=-1) { // format centrality dependent histograms accordingly
239 name = Form("%s_%i", name, c);
240 title += Form("_%i-%i", fCentralityClasses->At(c), fCentralityClasses->At(1+c));
241 }
242 title += Form(";%s;[counts]", x);
243 TH1F* histogram = new TH1F(name, title.Data(), bins, min, max);
38d2189d 244 histogram->Sumw2();
847e45e0 245 if(append) fOutputList->Add(histogram);
38d2189d 246 return histogram;
247}
248//_____________________________________________________________________________
847e45e0 249TH2F* 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)
38d2189d 250{
251 // book a TH2F and connect it to the output container
252 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
253 if(!fOutputList) return 0x0;
3531e13d 254 TString title(name);
255 if(c!=-1) { // format centrality dependent histograms accordingly
256 name = Form("%s_%i", name, c);
257 title += Form("_%i-%i", fCentralityClasses->At(c), fCentralityClasses->At(1+c));
258 }
259 title += Form(";%s;%s", x, y);
260 TH2F* histogram = new TH2F(name, title.Data(), binsx, minx, maxx, binsy, miny, maxy);
38d2189d 261 histogram->Sumw2();
847e45e0 262 if(append) fOutputList->Add(histogram);
38d2189d 263 return histogram;
264}
265//_____________________________________________________________________________
266void AliAnalysisTaskRhoVnModulation::UserCreateOutputObjects()
267{
268 // create output objects
269 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
270 fOutputList = new TList();
271 fOutputList->SetOwner(kTRUE);
3531e13d 272 if(!fCentralityClasses) { // classes must be defined at this point
273 Int_t c[] = {0, 20, 40, 60, 80, 100};
274 fCentralityClasses = new TArrayI(sizeof(c)/sizeof(c[0]), c);
275 }
38d2189d 276 // global QA
b43cf414 277 fHistCentrality = BookTH1F("fHistCentrality", "centrality", 102, -2, 100);
38d2189d 278 fHistVertexz = BookTH1F("fHistVertexz", "vertex z (cm)", 100, -12, 12);
279
280 // pico track kinematics
3531e13d 281 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) {
38d2189d 282 fHistPicoTrackPt[i] = BookTH1F("fHistPicoTrackPt", "p_{t} [GeV/c]", 100, 0, 50, i);
38d2189d 283 if(fFillQAHistograms) {
b43cf414 284 fHistPicoCat1[i] = BookTH2F("fHistPicoCat1", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
285 fHistPicoCat2[i] = BookTH2F("fHistPicoCat2", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
286 fHistPicoCat3[i] = BookTH2F("fHistPicoCat3", "#eta", "#phi", 50, -1, 1, 50, 0, TMath::TwoPi(), i);
38d2189d 287 }
288 // emcal kinematics
289 /* fHistClusterPt[i] = BookTH1F("fHistClusterPt", "p_{t} [GeV/c]", 100, 0, 100, i); */
290 /* fHistClusterPhi[i] = BookTH1F("fHistClusterPhi", "#phi", 100, 0, TMath::TwoPi(), i); */
291 /* fHistClusterEta[i] = BookTH1F("fHistClusterEta", "#eta", 100, -5, 5); */
292
293 // emcal kinematics after hadronic correction
294 /* fHistClusterCorrPt[i] = BookTH1F("fHistClusterCorrPt", "p_{t} [GeV/c]", 100, 0, 100, i); */
295 /* fHistClusterCorrPhi[i] = BookTH1F("fHistClusterCorrPhi", "#phi", 100, 0, TMath::TwoPi(), i); */
296 /* fHistClusterCorrEta[i] = BookTH1F("fHistClusterCorrEta", "#eta", 100, -5, 5, i); */
297 }
298
299 // event plane estimates and quality
847e45e0 300 fHistPsiControl = new TProfile("fHistPsiControl", "fHistPsiControl", 10, 0, 10);
301 fHistPsiControl->Sumw2();
302 fHistPsiSpread = new TProfile("fHistPsiSpread", "fHistPsiSpread", 4, 0, 4);
303 fHistPsiSpread->Sumw2();
304 fHistPsiControl->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA}>");
305 fHistPsiControl->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC}>");
306 fHistPsiControl->GetXaxis()->SetBinLabel(3, "<#Psi_{2, TPC}>");
307 fHistPsiControl->GetXaxis()->SetBinLabel(4, "<#Psi_{2, TPC, #eta < 0}>");
308 fHistPsiControl->GetXaxis()->SetBinLabel(5, "<#Psi_{2, TPC, #eta > 0}>");
1460d7da 309 fHistPsiControl->GetXaxis()->SetBinLabel(6, "<#Psi_{3, VZEROA}>");
310 fHistPsiControl->GetXaxis()->SetBinLabel(7, "<#Psi_{3, VZEROC}>");
311 fHistPsiControl->GetXaxis()->SetBinLabel(8, "<#Psi_{3, TPC}>");
312 fHistPsiControl->GetXaxis()->SetBinLabel(9, "<#Psi_{3, TPC, #eta < 0}>");
313 fHistPsiControl->GetXaxis()->SetBinLabel(10, "<#Psi_{3, TPC, #eta > 0}>");
847e45e0 314 fHistPsiSpread->GetXaxis()->SetBinLabel(1, "<#Psi_{2, VZEROA} - #Psi_{2, VZEROC}>");
315 fHistPsiSpread->GetXaxis()->SetBinLabel(2, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>");
316 fHistPsiSpread->GetXaxis()->SetBinLabel(3, "<#Psi_{2, VZEROC} - #Psi_{2, TPC}>");
317 fHistPsiSpread->GetXaxis()->SetBinLabel(4, "<#Psi_{2, TPC, #eta < 0} - #Psi_{2, TPC, #eta > 0}>");
318 fOutputList->Add(fHistPsiControl);
319 fOutputList->Add(fHistPsiSpread);
38d2189d 320 fHistPsiVZEROA = BookTH1F("fHistPsiVZEROA", "#Psi_{VZEROA}", 100, -.5*TMath::Pi(), .5*TMath::Pi());
321 fHistPsiVZEROC = BookTH1F("fHistPsiVZEROC", "#Psi_{VZEROC}", 100, -.5*TMath::Pi(), .5*TMath::Pi());
322 fHistPsiTPC = BookTH1F("fHistPsiTPC", "#Psi_{TPC}", 100, -.5*TMath::Pi(), .5*TMath::Pi());
38d2189d 323 // background
3531e13d 324 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i ++) {
38d2189d 325 fHistRhoPackage[i] = BookTH1F("fHistRhoPackage", "#rho [GeV/c]", 100, 0, 150, i);
326 fHistRho[i] = BookTH1F("fHistRho", "#rho [GeV/c]", 100, 0, 150, i);
327 }
328 fHistRhoVsMult = BookTH2F("fHistRhoVsMult", "multiplicity", "#rho [GeV/c]", 100, 0, 4000, 100, 0, 250);
329 fHistRhoVsCent = BookTH2F("fHistRhoVsCent", "centrality", "#rho [GeV/c]", 100, 0, 100, 100, 0, 250);
330 fHistRhoAVsMult = BookTH2F("fHistRhoAVsMult", "multiplicity", "#rho * A (jet) [GeV/c]", 100, 0, 4000, 100, 0, 50);
331 fHistRhoAVsCent = BookTH2F("fHistRhoAVsCent", "centrality", "#rho * A (jet) [GeV/c]", 100, 0, 100, 100, 0, 50);
332
333 // delta pt distributions
3531e13d 334 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i ++) {
38d2189d 335 fHistRCPhiEta[i] = BookTH2F("fHistRCPhiEta", "#phi (RC)", "#eta (RC)", 100, 0, TMath::TwoPi(), 100, -1, 1, i);
b43cf414 336 fHistRhoVsRCPt[i] = BookTH2F("fHistRhoVsRCPt", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i);
38d2189d 337 fHistRCPt[i] = BookTH1F("fHistRCPt", "p_{t} (RC) [GeV/c]", 130, -20, 150, i);
38d2189d 338 fHistRCPhiEtaExLJ[i] = BookTH2F("fHistRCPhiEtaExLJ", "#phi (RC)", "#eta (RC)", 100, 0, TMath::TwoPi(), 100, -1, 1, i);
406b7c22 339 fHistDeltaPtDeltaPhi2[i] = BookTH2F("fHistDeltaPtDeltaPhi2", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::Pi(), 100, -50, 100, i);
340 fHistDeltaPtDeltaPhi3[i] = BookTH2F("fHistDeltaPtDeltaPhi3", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::TwoPi()/3., 100, -50, 100, i);
b43cf414 341 fHistRhoVsRCPtExLJ[i] = BookTH2F("fHistRhoVsRCPtExLJ", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i);
38d2189d 342 fHistRCPtExLJ[i] = BookTH1F("fHistRCPtExLJ", "p_{t} (RC) [GeV/c]", 130, -20, 150, i);
406b7c22 343 /* fHistRCPhiEtaRand[i] = BookTH2F("fHistRCPhiEtaRand", "#phi (RC)", "#eta (RC)", 100, 0, TMath::TwoPi(), 100, -1, 1, i); */
344 fHistDeltaPtDeltaPhi2ExLJ[i] = BookTH2F("fHistDeltaPtDeltaPhi2ExLJ", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::Pi(), 100, -50, 100, i);
345 fHistDeltaPtDeltaPhi3ExLJ[i] = BookTH2F("fHistDeltaPtDeltaPhi3ExLJ", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::TwoPi()/3., 100, -50, 100, i);
346 /* fHistRhoVsRCPtRand[i] = BookTH2F("fHistRhoVsRCPtRand", "p_{t} (RC) [GeV/c]", "#rho * A (RC) [GeV/c]", 100, 0, 300, 100, 0, 350, i); */
347 /* fHistRCPtRand[i] = BookTH1F("fHistRCPtRand", "p_{t} (RC) [GeV/c]", 130, -20, 150, i); */
348 /* fHistDeltaPtDeltaPhi2Rand[i] = BookTH2F("fHistDeltaPtDeltaPhi2Rand", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::Pi(), 100, -50, 100, i); */
349 /* fHistDeltaPtDeltaPhi3Rand[i] = BookTH2F("fHistDeltaPtDeltaPhi3Rand", "#phi - #Psi_{TPC}", "#delta p_{t} [GeV/c]", 50, 0, TMath::TwoPi()/3., 100, -50, 100, i); */
38d2189d 350 // jet histograms (after kinematic cuts)
351 fHistJetPtRaw[i] = BookTH1F("fHistJetPtRaw", "p_{t} RAW [GeV/c]", 200, -50, 150, i);
b43cf414 352 fHistJetPt[i] = BookTH1F("fHistJetPt", "p_{t} [GeV/c]", 350, -100, 250, i);
38d2189d 353 fHistJetEtaPhi[i] = BookTH2F("fHistJetEtaPhi", "#eta", "#phi", 100, -1, 1, 100, 0, TMath::TwoPi(), i);
b7453b38 354 fHistJetPtArea[i] = BookTH2F("fHistJetPtArea", "p_{t} [GeV/c]", "Area", 175, -100, 250, 30, 0, 0.9, i);
b43cf414 355 fHistJetPtConstituents[i] = BookTH2F("fHistJetPtConstituents", "p_{t} [GeV/c]", "Area", 350, -100, 250, 60, 0, 150, i);
356 fHistJetEtaRho[i] = BookTH2F("fHistJetEtaRho", "#eta", "#rho", 100, -1, 1, 100, 0, 300, i);
38d2189d 357 // in plane and out of plane spectra
406b7c22 358 fHistJetPsiTPCPt[i] = BookTH2F("fHistJetPsiTPCPt", "#phi_{jet} - #Psi_{2, TPC}", "p_{t} [GeV/c]", 50, 0., TMath::Pi(), 700, -100, 250, i);
359 fHistJetPsiVZEROAPt[i] = BookTH2F("fHistJetPsiVZEROAPt", "#phi_{jet} - #Psi_{2, VZEROA}", "p_{t} [GeV/c]", 50, 0., TMath::Pi(), 700, -100, 250, i);
360 fHistJetPsiVZEROCPt[i] = BookTH2F("fHistJetPsiVZEROCPt", "#phi_{jet} - #Psi_{V2, ZEROC}", "p_{t} [GeV/c]", 50, 0., TMath::Pi(), 700, -100, 250, i);
38d2189d 361 // phi minus psi
406b7c22 362 fHistDeltaPhi2VZEROA[i] = BookTH1F("fHistDeltaPhi2VZEROA", "#phi_{jet} - #Psi_{2, VZEROA}", 50, 0, TMath::Pi(), i);
363 fHistDeltaPhi2VZEROC[i] = BookTH1F("fHistDeltaPhi2VZEROC", "#phi_{jet} - #Psi_{2, VZEROC}", 50, 0, TMath::Pi(), i);
364 fHistDeltaPhi2TPC[i] = BookTH1F("fHistDeltaPhi2TPC", "#phi_{jet} - #Psi_{2, TPC}", 50, 0, TMath::Pi(), i);
365 fHistDeltaPhi3VZEROA[i] = BookTH1F("fHistDeltaPhi3VZEROA", "#phi_{jet} - #Psi_{2, VZEROA}", 50, 0, TMath::TwoPi()/3., i);
366 fHistDeltaPhi3VZEROC[i] = BookTH1F("fHistDeltaPhi3VZEROC", "#phi_{jet} - #Psi_{2, VZEROC}", 50, 0, TMath::TwoPi()/3., i);
367 fHistDeltaPhi3TPC[i] = BookTH1F("fHistDeltaPhi3TPC", "#phi_{jet} - #Psi_{2, TPC}", 50, 0, TMath::TwoPi()/3., i);
847e45e0 368
369 fProfV2Resolution[i] = new TProfile(Form("fProfV2Resolution_%i", i), Form("fProfV2Resolution_%i", i), 8, -0.5, 7.5);
847e45e0 370 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(3, "<cos(2(#Psi_{VZEROA} - #Psi_{VZEROC}))>");
371 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(4, "<cos(2(#Psi_{VZEROC} - #Psi_{VZEROA}))>");
372 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(5, "<cos(2(#Psi_{VZEROA} - #Psi_{TPC}))>");
373 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(6, "<cos(2(#Psi_{TPC} - #Psi_{VZEROA}))>");
374 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(7, "<cos(2(#Psi_{VZEROC} - #Psi_{TPC}))>");
375 fProfV2Resolution[i]->GetXaxis()->SetBinLabel(8, "<cos(2(#Psi_{TPC} - #Psi_{VZEROC}))>");
376 fOutputList->Add(fProfV2Resolution[i]);
377 fProfV3Resolution[i] = new TProfile(Form("fProfV3Resolution_%i", i), Form("fProfV3Resolution_%i", i), 8, -0.5, 7.5);
847e45e0 378 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(3, "<cos(3(#Psi_{VZEROA} - #Psi_{VZEROC}))>");
379 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(4, "<cos(3(#Psi_{VZEROC} - #Psi_{VZEROA}))>");
380 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(5, "<cos(3(#Psi_{VZEROA} - #Psi_{TPC}))>");
381 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(6, "<cos(3(#Psi_{TPC} - #Psi_{VZEROA}))>");
382 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(7, "<cos(3(#Psi_{VZEROC} - #Psi_{TPC}))>");
383 fProfV3Resolution[i]->GetXaxis()->SetBinLabel(8, "<cos(3(#Psi_{TPC} - #Psi_{VZEROC}))>");
384 fOutputList->Add(fProfV3Resolution[i]);
38d2189d 385 }
847e45e0 386 // cdf and pdf of chisquare distribution
387 fHistPvaluePDF = BookTH1F("fHistPvaluePDF", "PDF #chi^{2}", 500, 0, 1);
388 fHistPvalueCDF = BookTH1F("fHistPvalueCDF", "CDF #chi^{2}", 500, 0, 1);
389 // vn profile
390 Float_t temp[fCentralityClasses->GetSize()];
391 for(Int_t i(0); i < fCentralityClasses->GetSize(); i++) temp[i] = fCentralityClasses->At(i);
392 fProfV2 = new TProfile("fProfV2", "fProfV2", fCentralityClasses->GetSize()-1, temp);
393 fProfV3 = new TProfile("fProfV3", "fProfV3", fCentralityClasses->GetSize()-1, temp);
394 fOutputList->Add(fProfV2);
395 fOutputList->Add(fProfV3);
e2fde0c9 396 switch (fFitModulationType) {
397 case kQC2 : {
398 fProfV2Cumulant = new TProfile("fProfV2Cumulant", "fProfV2Cumulant", fCentralityClasses->GetSize()-1, temp);
399 fProfV3Cumulant = new TProfile("fProfV3Cumulant", "fProfV3Cumulant", fCentralityClasses->GetSize()-1, temp);
400 fOutputList->Add(fProfV2Cumulant);
401 fOutputList->Add(fProfV3Cumulant);
402 } break;
403 case kQC4 : {
404 fProfV2Cumulant = new TProfile("fProfV2Cumulant", "fProfV2Cumulant", fCentralityClasses->GetSize()-1, temp);
405 fProfV3Cumulant = new TProfile("fProfV3Cumulant", "fProfV3Cumulant", fCentralityClasses->GetSize()-1, temp);
406 fOutputList->Add(fProfV2Cumulant);
407 fOutputList->Add(fProfV3Cumulant);
408 } break;
409 default : break;
410 }
38d2189d 411 if(fFillQAHistograms) {
412 fHistRunnumbersEta = new TH2F("fHistRunnumbersEta", "fHistRunnumbersEta", 100, -.5, 99.5, 100, -1.1, 1.1);
413 fHistRunnumbersEta->Sumw2();
414 fOutputList->Add(fHistRunnumbersEta);
415 fHistRunnumbersPhi = new TH2F("fHistRunnumbersPhi", "fHistRunnumbersPhi", 100, -.5, 99.5, 100, -0.2, TMath::TwoPi()+0.2);
416 fHistRunnumbersPhi->Sumw2();
417 fOutputList->Add(fHistRunnumbersPhi);
418 }
e2fde0c9 419 fHistAnalysisSummary = BookTH1F("fHistAnalysisSummary", "flag", 50, -0.5, 50.5);
38d2189d 420 fHistSwap = new TH1F("fHistSwap", "fHistSwap", 20, 0, TMath::TwoPi());
1460d7da 421 if(fUsePtWeight) fHistSwap->Sumw2();
b7453b38 422
9ad3a4e7 423 if(fUserSuppliedV2) fOutputList->Add(fUserSuppliedV2);
424 if(fUserSuppliedV3) fOutputList->Add(fUserSuppliedV3);
60ad809f 425 if(fUserSuppliedR2) fOutputList->Add(fUserSuppliedR2);
426 if(fUserSuppliedR3) fOutputList->Add(fUserSuppliedR3);
b7453b38 427 // increase readability of output list
428 fOutputList->Sort();
38d2189d 429 PostData(1, fOutputList);
430
431 switch (fRunModeType) {
432 case kLocal : {
433 fOutputListGood = new TList();
434 fOutputListGood->SetOwner(kTRUE);
435 fOutputListBad = new TList();
436 fOutputListBad->SetOwner(kTRUE);
437 PostData(2, fOutputListGood);
438 PostData(3, fOutputListBad);
439 } break;
440 default: break;
441 }
38d2189d 442}
443//_____________________________________________________________________________
444Bool_t AliAnalysisTaskRhoVnModulation::Run()
445{
446 // user exec: execute once for each event
447 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
448 if(!fInitialized) fInitialized = InitializeAnalysis();
449 // reject the event if expected data is missing
450 if(!PassesCuts(InputEvent())) return kFALSE;
451 if(!(fTracks||fJets||fRho)) return kFALSE;
3531e13d 452 if(!fCaloClusters && fDebug > 0) printf(" > Warning: couldn't retreive calo clusters! < \n");
38d2189d 453 // [0][0] psi2a [1,0] psi2c
454 // [0][1] psi3a [1,1] psi3c
455 Double_t vzero[2][2];
456 CalculateEventPlaneVZERO(vzero);
457 // [0] psi2 [1] psi3
1460d7da 458 Double_t tpc[2];
38d2189d 459 CalculateEventPlaneTPC(tpc);
1460d7da 460 Double_t psi2(-1), psi3(-1);
38d2189d 461 // arrays which will hold the fit parameters
38d2189d 462 switch (fDetectorType) { // determine the detector type for the rho fit
b43cf414 463 case kTPC : { psi2 = tpc[0]; psi3 = tpc[1]; } break;
464 case kVZEROA : { psi2 = vzero[0][0]; psi3 = vzero[0][1]; } break;
465 case kVZEROC : { psi2 = vzero[1][0]; psi3 = vzero[1][1]; } break;
38d2189d 466 default : break;
467 }
38d2189d 468 switch (fFitModulationType) { // do the fits
469 case kNoFit : { fFitModulation->FixParameter(0, RhoVal()); } break;
470 case kV2 : {
1460d7da 471 if(CorrectRho(psi2, psi3)) {
847e45e0 472 fProfV2->Fill(fCent, fFitModulation->GetParameter(3));
60ad809f 473 if(fUserSuppliedR2) {
474 Double_t r(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
475 if(r > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r);
476 }
847e45e0 477 CalculateEventPlaneResolution(vzero, tpc);
478 }
38d2189d 479 } break;
480 case kV3 : {
1460d7da 481 if(CorrectRho(psi2, psi3)) {
60ad809f 482 if(fUserSuppliedR3) {
483 Double_t r(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
484 if(r > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r);
485 }
847e45e0 486 fProfV3->Fill(fCent, fFitModulation->GetParameter(3));
487 CalculateEventPlaneResolution(vzero, tpc);
488 }
38d2189d 489 } break;
e2fde0c9 490 case kQC2 : {
491 Bool_t QC2(CorrectRho(psi2, psi3));
492 if(fUserSuppliedR2 && fUserSuppliedR3) {
493 // note for the qc method, resolution is REVERSED to go back to v2obs
494 Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
495 Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
496 if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)*r2);
497 if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(3)*r3);
498 }
499 if (fUsePtWeight) { // use weighted weights
500 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3), QCnM11());
501 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7), QCnM11());
502 if(QC2) { // how to deal with negative results from the cumulants ?
503 fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.5), QCnM11());
504 fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.5), QCnM11());
505 }
506 } else {
507 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3), QCnM()*(QCnM()-1));
508 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7), QCnM()*(QCnM()-1));
509 if(QC2) {
510 fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.5), QCnM()*(QCnM()-1));
511 fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.5), QCnM()*(QCnM()-1));
512 }
513 }
514 CalculateEventPlaneResolution(vzero, tpc);
515 } break;
516 case kQC4 : {
517 Bool_t QC4(CorrectRho(psi2, psi3));
518 if(fUserSuppliedR2 && fUserSuppliedR3) {
519 // note for the qc method, resolution is REVERSED to go back to v2obs
520 Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
521 Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
522 if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)*r2);
523 if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(3)*r3);
524 }
525 if (fUsePtWeight) { // use weighted weights
526 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3)/*, QCnM1111()*/);
527 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7)/*, QCnM1111()*/);
528 if(QC4) { // how to deal with negative values of cumulants ?
529 fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.5)/*, QCnM1111()*/);
530 fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.5)/*, QCnM1111()*/);
531 }
532 } else {
533 fProfV2Cumulant->Fill(fCent, fFitModulation->GetParameter(3)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/);
534 fProfV3Cumulant->Fill(fCent, fFitModulation->GetParameter(7)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/);
535 if(QC4) {
536 fProfV2->Fill(fCent, TMath::Power(fFitModulation->GetParameter(3),0.25)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/);
537 fProfV3->Fill(fCent, TMath::Power(fFitModulation->GetParameter(7),0.25)/*, QCnM()*(QCnM()-1)*(QCnM()-2)*(QCnM()-3)*/);
538 }
539 }
540 CalculateEventPlaneResolution(vzero, tpc);
3531e13d 541 } break;
542 default : {
1460d7da 543 if(CorrectRho(psi2, psi3)) {
60ad809f 544 if(fUserSuppliedR2 && fUserSuppliedR3) {
545 Double_t r2(fUserSuppliedR2->GetBinContent(fUserSuppliedR2->GetXaxis()->FindBin(fCent)));
546 Double_t r3(fUserSuppliedR3->GetBinContent(fUserSuppliedR3->GetXaxis()->FindBin(fCent)));
547 if(r2 > 0) fFitModulation->SetParameter(3, fFitModulation->GetParameter(3)/r2);
548 if(r3 > 0) fFitModulation->SetParameter(7, fFitModulation->GetParameter(3)/r3);
549 }
847e45e0 550 fProfV2->Fill(fCent, fFitModulation->GetParameter(3));
551 fProfV3->Fill(fCent, fFitModulation->GetParameter(7));
552 CalculateEventPlaneResolution(vzero, tpc);
553 }
38d2189d 554 } break;
38d2189d 555 }
556 // fill a number of histograms
557 FillHistogramsAfterSubtraction(vzero, tpc);
38d2189d 558 // send the output to the connected output container
559 PostData(1, fOutputList);
560 switch (fRunModeType) {
561 case kLocal : {
562 PostData(2, fOutputListGood);
563 PostData(3, fOutputListBad);
564 } break;
565 default: break;
566 }
567 return kTRUE;
568}
569//_____________________________________________________________________________
570void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneVZERO(Double_t vzero[2][2]) const
571{
e9f3b44e 572 // get the vzero event plane
573 if(fUseV0EventPlaneFromHeader) { // use the vzero from the header
574 Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0), h(0);
575 vzero[0][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 2, a, b);
576 vzero[1][0] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 2, c, d);
577 vzero[0][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 8, 3, e, f);
578 vzero[1][1] = InputEvent()->GetEventplane()->CalculateVZEROEventPlane(InputEvent(), 9, 3, g, h);
579 return;
580 }
581 // grab the vzero event plane without recentering
38d2189d 582 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
583 Double_t qxa2(0), qya2(0), qxc2(0), qyc2(0); // for psi2
584 Double_t qxa3(0), qya3(0), qxc3(0), qyc3(0); // for psi3
585 for(Int_t iVZERO(0); iVZERO < 64; iVZERO++) {
586 Double_t phi(TMath::PiOver4()*(.5+iVZERO%8)), /* eta(0), */ weight(InputEvent()->GetVZEROEqMultiplicity(iVZERO));
587// (iVZERO<32) ? eta = -3.45+.5*(iVZERO/8) : eta = 4.8-.6*((iVZERO/8)-4);
588 if(iVZERO<32) {
589 qxa2 += weight*TMath::Cos(2.*phi);
590 qya2 += weight*TMath::Sin(2.*phi);
591 qxa3 += weight*TMath::Cos(3.*phi);
592 qya3 += weight*TMath::Sin(3.*phi);
593 }
594 else {
595 qxc2 += weight*TMath::Cos(2.*phi);
596 qyc2 += weight*TMath::Sin(2.*phi);
597 qxc3 += weight*TMath::Cos(3.*phi);
598 qyc3 += weight*TMath::Sin(3.*phi);
599 }
600 }
601 vzero[0][0] = .5*TMath::ATan2(qya2, qxa2);
602 vzero[1][0] = .5*TMath::ATan2(qyc2, qxc2);
603 vzero[0][1] = (1./3.)*TMath::ATan2(qya3, qxa3);
604 vzero[1][1] = (1./3.)*TMath::ATan2(qyc3, qxc3);
605}
606//_____________________________________________________________________________
847e45e0 607void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneTPC(Double_t* tpc)
38d2189d 608{
609 // grab the TPC event plane
610 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
847e45e0 611 fNAcceptedTracks = 0; // reset the track counter
38d2189d 612 Double_t qx2(0), qy2(0); // for psi2
613 Double_t qx3(0), qy3(0); // for psi3
614 if(fTracks) {
847e45e0 615 Float_t excludeInEta[] = {-999, -999};
616 if(fExcludeLeadingJetsFromFit > 0 ) { // remove the leading jet from ep estimate
617 AliEmcalJet* leadingJet[] = {0x0, 0x0};
618 static Int_t lJets[9999] = {-1};
619 GetSortedArray(lJets, fJets);
620 for(Int_t i(0); i < fJets->GetEntriesFast(); i++) { // get the two leading jets
621 if (1 + i > fJets->GetEntriesFast()) break;
622 leadingJet[0] = static_cast<AliEmcalJet*>(fJets->At(lJets[i]));
623 leadingJet[1] = static_cast<AliEmcalJet*>(fJets->At(lJets[i+1]));
624 if(PassesCuts(leadingJet[0]) && PassesCuts(leadingJet[1])) break;
625 }
626 if(leadingJet[0] && leadingJet[1]) {
627 for(Int_t i(0); i < 2; i++) excludeInEta[i] = leadingJet[i]->Eta();
628 }
629 }
38d2189d 630 Int_t iTracks(fTracks->GetEntriesFast());
631 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
632 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
e2fde0c9 633 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
847e45e0 634 if(fExcludeLeadingJetsFromFit > 0 &&( (TMath::Abs(track->Eta() - excludeInEta[0]) < fJetRadius*fExcludeLeadingJetsFromFit ) || (TMath::Abs(track->Eta()) - fJetRadius - fJetMaxEta ) > 0 )) continue;
635 fNAcceptedTracks++;
38d2189d 636 qx2+= TMath::Cos(2.*track->Phi());
637 qy2+= TMath::Sin(2.*track->Phi());
638 qx3+= TMath::Cos(3.*track->Phi());
639 qy3+= TMath::Sin(3.*track->Phi());
640 }
641 }
642 tpc[0] = .5*TMath::ATan2(qy2, qx2);
643 tpc[1] = (1./3.)*TMath::ATan2(qy3, qx3);
644}
645//_____________________________________________________________________________
847e45e0 646void AliAnalysisTaskRhoVnModulation::CalculateEventPlaneResolution(Double_t vzero[2][2], Double_t* tpc) const
647{
648 // fill the profiles for the resolution parameters
649 if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
847e45e0 650 fProfV2Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(2.*(vzero[0][0] - vzero[1][0])));
651 fProfV2Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(2.*(vzero[1][0] - vzero[0][0])));
652 fProfV2Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(2.*(vzero[0][0] - tpc[0])));
653 fProfV2Resolution[fInCentralitySelection]->Fill(5., TMath::Cos(2.*(tpc[0] - vzero[0][0])));
654 fProfV2Resolution[fInCentralitySelection]->Fill(6., TMath::Cos(2.*(vzero[1][0] - tpc[0])));
655 fProfV2Resolution[fInCentralitySelection]->Fill(7., TMath::Cos(2.*(tpc[0] - vzero[1][0])));
847e45e0 656 fProfV3Resolution[fInCentralitySelection]->Fill(2., TMath::Cos(3.*(vzero[0][0] - vzero[1][0])));
657 fProfV3Resolution[fInCentralitySelection]->Fill(3., TMath::Cos(3.*(vzero[1][0] - vzero[0][0])));
658 fProfV3Resolution[fInCentralitySelection]->Fill(4., TMath::Cos(3.*(vzero[0][0] - tpc[0])));
659 fProfV3Resolution[fInCentralitySelection]->Fill(5., TMath::Cos(3.*(tpc[0] - vzero[0][0])));
660 fProfV3Resolution[fInCentralitySelection]->Fill(6., TMath::Cos(3.*(vzero[1][0] - tpc[0])));
661 fProfV3Resolution[fInCentralitySelection]->Fill(7., TMath::Cos(3.*(tpc[0] - vzero[1][0])));
662}
663//_____________________________________________________________________________
38d2189d 664void AliAnalysisTaskRhoVnModulation::CalculateRandomCone(Float_t &pt, Float_t &eta, Float_t &phi,
665 AliEmcalJet* jet, Bool_t randomize) const
666{
667 // get a random cone
668 if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
669 pt = 0; eta = 0; phi = 0;
670 Float_t etaJet(999), phiJet(999), dJet(999); // no jet: same as jet very far away
671 if(jet) { // if a leading jet is given, use its kinematic properties
672 etaJet = jet->Eta();
673 phiJet = jet->Phi();
674 }
675 // force the random cones to at least be within detector acceptance
676 Float_t minPhi(fJetMinPhi), maxPhi(fJetMaxPhi);
677 if(maxPhi > TMath::TwoPi()) maxPhi = TMath::TwoPi();
678 if(minPhi < 0 ) minPhi = 0;
679 Float_t diffRcRJR(TMath::Abs(fRandomConeRadius-fJetRadius));
680 // construct a random cone and see if it's far away enough from the leading jet
681 Int_t attempts(1000);
682 while(kTRUE) {
683 attempts--;
684 eta = gRandom->Uniform(fJetMinEta+diffRcRJR, fJetMaxEta-diffRcRJR);
685 phi = gRandom->Uniform(minPhi, maxPhi);
686
687 dJet = TMath::Sqrt((etaJet-eta)*(etaJet-eta)+(phiJet-phi)*(phiJet-phi));
688 if(dJet > fMinDisanceRCtoLJ) break;
689 else if (attempts == 0) {
690 printf(" > No random cone after 1000 tries, giving up ... !\n");
691 return;
692 }
693 }
694 if(fTracks) {
695 Int_t iTracks(fTracks->GetEntriesFast());
696 for(Int_t i(0); i < iTracks; i++) {
697 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
698 if(!PassesCuts(track)) continue;
699 Float_t etaTrack(track->Eta()), phiTrack(track->Phi()), ptTrack(track->Pt());
700 // if requested, randomize eta and phi to destroy any correlated fluctuations
701 if(randomize) {
702 etaTrack = gRandom->Uniform(fTrackMinEta, fTrackMaxEta);
703 phiTrack = gRandom->Uniform(minPhi, maxPhi);
704 }
705 // get distance from cone
706 if(TMath::Abs(phiTrack-phi) > TMath::Abs(phiTrack - phi + TMath::TwoPi())) phiTrack+=TMath::TwoPi();
707 if(TMath::Abs(phiTrack-phi) > TMath::Abs(phiTrack - phi - TMath::TwoPi())) phiTrack-=TMath::TwoPi();
708 if(TMath::Sqrt(TMath::Abs((etaTrack-eta)*(etaTrack-eta)+(phiTrack-phi)*(phiTrack-phi))) <= fRandomConeRadius) pt+=ptTrack;
709 }
710 }
711}
712//_____________________________________________________________________________
e2fde0c9 713Double_t AliAnalysisTaskRhoVnModulation::CalculateQC2(Int_t harm) {
714 // get the second order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho
715 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
716 Double_t reQ(0), imQ(0), modQ(0), M11(0), M(0);
717 if(fUsePtWeight) { // for the weighted 2-nd order q-cumulant
718 QCnQnk(harm, 1, reQ, imQ); // get the weighted 2-nd order q-vectors
719 modQ = reQ*reQ+imQ*imQ; // get abs Q-squared
720 M11 = QCnM11(); // equals S2,1 - S1,2
721 return (M11 > 0) ? ((modQ - QCnS(1,2))/M11) : -999;
722 } // else return the non-weighted 2-nd order q-cumulant
723 QCnQnk(harm, 0, reQ, imQ); // get the non-weighted 2-nd order q-vectors
724 modQ = reQ*reQ+imQ*imQ; // get abs Q-squared
725 M = QCnM();
726 return (M > 1) ? (modQ - M)/(M*(M-1)) : -999;
727}
728//_____________________________________________________________________________
729Double_t AliAnalysisTaskRhoVnModulation::CalculateQC4(Int_t harm) {
730 // get the fourth order q-cumulant, a -999 return will be caught in the qa routine of CorrectRho
731 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
732 Double_t reQn1(0), imQn1(0), reQ2n2(0), imQ2n2(0), reQn3(0), imQn3(0), M1111(0), M(0);
733 Double_t a(0), b(0), c(0), d(0), e(0), f(0), g(0); // terms of the calculation
734 if(fUsePtWeight) { // for the weighted 4-th order q-cumulant
735 QCnQnk(harm, 1, reQn1, imQn1);
736 QCnQnk(harm*2, 2, reQ2n2, imQ2n2);
737 QCnQnk(harm, 3, reQn3, imQn3);
738 // fill in the terms ...
739 a = (reQn1*reQn1+imQn1*imQn1)*(reQn1*reQn1+imQn1*imQn1);
740 b = reQ2n2*reQ2n2 + imQ2n2*imQ2n2;
741 c = -2.*(reQ2n2*reQn1*reQn1-reQ2n2*imQn1*imQn1+2.*imQ2n2*reQn1*imQn1);
742 d = 8.*(reQn3*reQn1+imQn3*imQn1);
743 e = -4.*QCnS(1,2)*(reQn1*reQn1+imQn1*imQn1);
744 f = -6.*QCnS(1,4);
745 g = 2.*QCnS(2,2);
746 M1111 = QCnM1111();
747 return (M1111 > 0) ? (a+b+c+d+e+f+g)/M1111 : -999;
748 } // else return the unweighted case
749 Double_t reQn(0), imQn(0), reQ2n(0), imQ2n(0);
750 QCnQnk(harm, 0, reQn, imQn);
751 QCnQnk(harm*2, 0, reQ2n, imQ2n);
752 // fill in the terms ...
753 M = QCnM();
754 if(M < 4) return -999;
755 a = (reQn*reQn+imQn*imQn)*(reQn*reQn+imQn*imQn);
756 b = reQ2n*reQ2n + imQ2n*imQ2n;
757 c = -2.*(reQ2n*reQn*reQn-reQ2n*imQn*imQn+2.*imQ2n*reQn*imQn);
758 e = -4.*(M-2)*(reQn*reQn+imQn*imQn);
759 f = 2.*M*(M-3);
760 return (a+b+c+e+f)/(M*(M-1)*(M-2)*(M-3));
761}
762//_____________________________________________________________________________
763void AliAnalysisTaskRhoVnModulation::QCnQnk(Int_t n, Int_t k, Double_t &reQ, Double_t &imQ) {
764 // get the weighted n-th order q-vector, pass real and imaginary part as reference
765 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
766 if(!fTracks) return;
767 fNAcceptedTracksQCn = 0;
768 Int_t iTracks(fTracks->GetEntriesFast());
769 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
770 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
771 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
772 fNAcceptedTracksQCn++;
773 // for the unweighted case, k equals zero and the weight doesn't contribute to the equation below
774 reQ += TMath::Power(track->Pt(), k) * TMath::Cos(((double)n)*track->Phi());
775 imQ += TMath::Power(track->Pt(), k) * TMath::Sin(((double)n)*track->Phi());
776 }
777}
778//_____________________________________________________________________________
779Double_t AliAnalysisTaskRhoVnModulation::QCnS(Int_t i, Int_t j) {
780 // get the weighted ij-th order autocorrelation correction
781 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
782 if(!fTracks || i <= 0 || j <= 0) return -999;
783 Int_t iTracks(fTracks->GetEntriesFast());
784 Double_t Sij(0);
785 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
786 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
787 if(!PassesCuts(track) || track->Pt() < fSoftTrackMinPt || track->Pt() > fSoftTrackMaxPt) continue;
788 Sij+=TMath::Power(track->Pt(), j);
789 }
790 return TMath::Power(Sij, i);
791}
792//_____________________________________________________________________________
793Double_t AliAnalysisTaskRhoVnModulation::QCnM() {
794 // get multiplicity for unweighted q-cumulants. function QCnQnk should be called first
795 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
796 return (Double_t) fNAcceptedTracksQCn;
797}
798//_____________________________________________________________________________
799Double_t AliAnalysisTaskRhoVnModulation::QCnM11() {
800 // get multiplicity weights for the weighted two particle cumulant
801 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
802 return (QCnS(2,1) - QCnS(1,2));
803}
804//_____________________________________________________________________________
805Double_t AliAnalysisTaskRhoVnModulation::QCnM1111() {
806 // get multiplicity weights for the weighted four particle cumulant
807 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
808 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));
809}
810//_____________________________________________________________________________
1460d7da 811Bool_t AliAnalysisTaskRhoVnModulation::CorrectRho(Double_t psi2, Double_t psi3)
38d2189d 812{
813 // get rho' -> rho(phi)
e2fde0c9 814 // two routines are available, both can be used with or without pt weights
815 // [1] get vn from q-cumulants or as an integrated value from a user supplied histogram
816 // in case of cumulants, both cumulants and vn values are stored. in both cases, v2 and v3
817 // are expected. a check is performed to see if rho has no negative local minimum
818 // for full description, see Phys. Rev. C 83, 044913
819 // [2] fitting a fourier expansion to the de/dphi distribution
820 // the fit can be done with either v2, v3 or a combination.
821 // in all cases, a cut can be made on the p-value of the chi-squared value of the fit
822 // and a check can be performed to see if rho has no negative local minimum
38d2189d 823 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
e2fde0c9 824 switch (fFitModulationType) { // for approaches where no fitting is required
825 case kQC2 : {
826 fFitModulation->FixParameter(4, psi2);
827 fFitModulation->FixParameter(6, psi3);
828 fFitModulation->FixParameter(3, CalculateQC2(2));
829 fFitModulation->FixParameter(7, CalculateQC2(3));
830 if(fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) {
831 fFitModulation->SetParameter(7, 0);
832 fFitModulation->SetParameter(3, 0);
833 fFitModulation->SetParameter(0, RhoVal());
834 return kFALSE;
835 }
836 return (fFitModulation->GetParameter(3) > 0 && fFitModulation->GetParameter(7) > 0) ? kTRUE : kFALSE;
837 } break;
838 case kQC4 : {
839 fFitModulation->FixParameter(4, psi2);
840 fFitModulation->FixParameter(6, psi3);
841 fFitModulation->FixParameter(3, CalculateQC4(2));
842 fFitModulation->FixParameter(7, CalculateQC4(3));
843 if(fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) {
844 fFitModulation->SetParameter(7, 0);
845 fFitModulation->SetParameter(3, 0);
846 fFitModulation->SetParameter(0, RhoVal());
847 return kFALSE;
848 }
849 return (fFitModulation->GetParameter(3) > 0 && fFitModulation->GetParameter(7) > 0) ? kTRUE : kFALSE;
850 } break;
851 case kIntegratedFlow : {
852 // use v2 and v3 values from an earlier iteration over the data
853 fFitModulation->FixParameter(3, fUserSuppliedV2->GetBinContent(fUserSuppliedV2->GetXaxis()->FindBin(fCent)));
854 fFitModulation->FixParameter(4, psi2);
855 fFitModulation->FixParameter(6, psi3);
856 fFitModulation->FixParameter(7, fUserSuppliedV3->GetBinContent(fUserSuppliedV3->GetXaxis()->FindBin(fCent)));
857 if(fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) < 0) {
858 fFitModulation->SetParameter(7, 0);
859 fFitModulation->SetParameter(3, 0);
860 fFitModulation->SetParameter(0, RhoVal());
861 return kFALSE;
862 }
863 return kTRUE;
864 }
865 default : break;
866 }
38d2189d 867 TString detector("");
868 switch (fDetectorType) {
869 case kTPC : detector+="TPC";
870 break;
871 case kVZEROA : detector+="VZEROA";
872 break;
873 case kVZEROC : detector+="VZEROC";
874 break;
875 default: break;
876 }
877 Int_t iTracks(fTracks->GetEntriesFast());
847e45e0 878 Double_t excludeInEta[] = {-999, -999};
879 Double_t excludeInPhi[] = {-999, -999};
880 Double_t excludeInPt[] = {-999, -999};
881 if(iTracks <= 0 || RhoVal() <= 0 ) return kFALSE; // no use fitting an empty event ...
882 if(fExcludeLeadingJetsFromFit > 0 ) {
883 AliEmcalJet* leadingJet[] = {0x0, 0x0};
884 static Int_t lJets[9999] = {-1};
885 GetSortedArray(lJets, fJets);
886 for(Int_t i(0); i < fJets->GetEntriesFast(); i++) { // get the two leading jets
887 if (1 + i > fJets->GetEntriesFast()) break;
888 leadingJet[0] = static_cast<AliEmcalJet*>(fJets->At(lJets[i]));
889 leadingJet[1] = static_cast<AliEmcalJet*>(fJets->At(lJets[i+1]));
890 if(PassesCuts(leadingJet[0]) && PassesCuts(leadingJet[1])) break;
891 }
892 if(leadingJet[0] && leadingJet[1]) {
893 for(Int_t i(0); i < 2; i++) {
894 excludeInEta[i] = leadingJet[i]->Eta();
895 excludeInPhi[i] = leadingJet[i]->Phi();
896 excludeInPt[i] = leadingJet[i]->Pt();
897 }
898 }
899 }
900 fHistSwap->Reset(); // clear the histogram
901 TH1F _tempSwap;
902 if(fRebinSwapHistoOnTheFly) {
903 if(fNAcceptedTracks < 49) fNAcceptedTracks = 49; // avoid aliasing effects
904 _tempSwap = TH1F("_tempSwap", "_tempSwap", TMath::CeilNint(TMath::Sqrt(fNAcceptedTracks)), 0, TMath::TwoPi());
905 }
906 else _tempSwap = *fHistSwap; // now _tempSwap holds the desired histo
38d2189d 907 for(Int_t i(0); i < iTracks; i++) {
908 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
847e45e0 909 if(fExcludeLeadingJetsFromFit > 0 &&( (TMath::Abs(track->Eta() - excludeInEta[0]) < fJetRadius*fExcludeLeadingJetsFromFit ) || (TMath::Abs(track->Eta()) - fJetRadius - fJetMaxEta ) > 0 )) continue;
e2fde0c9 910 if(!PassesCuts(track) || track->Pt() > fSoftTrackMaxPt || track->Pt() < fSoftTrackMinPt) continue;
847e45e0 911 if(fUsePtWeight) _tempSwap.Fill(track->Phi(), track->Pt());
912 else _tempSwap.Fill(track->Phi());
38d2189d 913 }
1460d7da 914// for(Int_t i(0); i < _tempSwap.GetXaxis()->GetNbins(); i++) _tempSwap.SetBinError(1+i, TMath::Sqrt(_tempSwap.GetBinContent(1+i)));
38d2189d 915 fFitModulation->SetParameter(0, RhoVal());
916 switch (fFitModulationType) {
b43cf414 917 case kNoFit : { fFitModulation->FixParameter(0, RhoVal() );
918 } break;
3531e13d 919 case kV2 : {
920 fFitModulation->FixParameter(4, psi2);
921 } break;
922 case kV3 : {
923 fFitModulation->FixParameter(4, psi3);
924 } break;
38d2189d 925 case kCombined : {
926 fFitModulation->FixParameter(4, psi2);
927 fFitModulation->FixParameter(6, psi3);
928 } break;
3531e13d 929 case kFourierSeries : {
930 // in this approach, an explicit calculation will be made of vn = sqrt(xn^2+yn^2)
931 // where x[y] = Integrate[r(phi)cos[sin](n phi)dphi, 0, 2pi]
932 Double_t cos2(0), sin2(0), cos3(0), sin3(0), sumPt(0);
933 for(Int_t i(0); i < iTracks; i++) {
934 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
e2fde0c9 935 if(!PassesCuts(track) || track->Pt() > fSoftTrackMaxPt || track->Pt() < fSoftTrackMinPt) continue;
3531e13d 936 sumPt += track->Pt();
937 cos2 += track->Pt()*TMath::Cos(2*PhaseShift(track->Phi()-psi2));
938 sin2 += track->Pt()*TMath::Sin(2*PhaseShift(track->Phi()-psi2));
939 cos3 += track->Pt()*TMath::Cos(3*PhaseShift(track->Phi()-psi3));
940 sin3 += track->Pt()*TMath::Sin(3*PhaseShift(track->Phi()-psi3));
941 }
942 fFitModulation->SetParameter(3, TMath::Sqrt(cos2*cos2+sin2*sin2)/RhoVal());
943 fFitModulation->SetParameter(4, psi2);
944 fFitModulation->SetParameter(6, psi3);
945 fFitModulation->SetParameter(7, TMath::Sqrt(cos3*cos3+sin3*sin3)/RhoVal());
9ad3a4e7 946 } break;
38d2189d 947 default : break;
948 }
847e45e0 949 _tempSwap.Fit(fFitModulation, fFitModulationOptions.Data(), "", 0, TMath::TwoPi());
950 // the quality of the fit is evaluated from 1 - the cdf of the chi square distribution
951 Double_t CDF(1.-ChiSquareCDF(fFitModulation->GetNDF(), fFitModulation->GetChisquare()));
952// Double_t PDF(ChiSquarePDF(fFitModulation->GetNDF(), fFitModulation->GetChisquare()));
953 fHistPvalueCDF->Fill(CDF);
954// fHistPvaluePDF->Fill(PDF);
955 if(CDF > fMinPvalue && CDF < fMaxPvalue && ( fAbsVnHarmonics && fFitModulation->GetMinimum(0, TMath::TwoPi()) > 0)) { // fit quality
956 // for LOCAL didactic purposes, save the best and the worst fits
957 // this routine can produce a lot of output histograms (it's not memory 'safe') and will not work on GRID
958 // since the output will become unmergeable (i.e. different nodes may produce conflicting output)
959 switch (fRunModeType) {
960 case kLocal : {
961 if(fRandom->Uniform(0, 100) > fPercentageOfFits) break;
962 static Int_t didacticCounterBest(0);
963 TProfile* didacticProfile = (TProfile*)_tempSwap.Clone(Form("Fit_%i_1-CDF_%.3f_cen_%i_%s", didacticCounterBest, CDF, fInCentralitySelection, detector.Data()));
964 TF1* didactifFit = (TF1*)fFitModulation->Clone(Form("fit_%i_CDF_%.3f_cen_%i_%s", didacticCounterBest, CDF, fInCentralitySelection, detector.Data()));
965 didacticProfile->GetListOfFunctions()->Add(didactifFit);
966 fOutputListGood->Add(didacticProfile);
967 didacticCounterBest++;
968 TH2F* didacticSurface = BookTH2F(Form("surface_%s", didacticProfile->GetName()), "#phi", "#eta", 50, 0, TMath::TwoPi(), 50, -1, 1, -1, kFALSE);
969 for(Int_t i(0); i < iTracks; i++) {
970 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
971 if(PassesCuts(track)) {
972 if(fUsePtWeight) didacticSurface->Fill(track->Phi(), track->Eta(), track->Pt());
973 else didacticSurface->Fill(track->Phi(), track->Eta());
974 }
975 }
976 if(fExcludeLeadingJetsFromFit) { // visualize the excluded region
977 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);
978 f2->SetParameters(excludeInPt[0]/3.,excludeInPhi[0],.1,excludeInEta[0],.1);
979 didacticSurface->GetListOfFunctions()->Add(f2);
980 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);
981 f3->SetParameters(excludeInPt[1]/3.,excludeInPhi[1],.1,excludeInEta[1],.1);
982 f3->SetLineColor(kGreen);
983 didacticSurface->GetListOfFunctions()->Add(f3);
984 }
985 fOutputListGood->Add(didacticSurface);
986 } break;
987 default : break;
988 }
989 } else { // if the fit is of poor quality revert to the original rho estimate
990 switch (fRunModeType) { // again see if we want to save the fit
991 case kLocal : {
992 static Int_t didacticCounterWorst(0);
993 if(fRandom->Uniform(0, 100) > fPercentageOfFits) break;
994 TProfile* didacticProfile = (TProfile*)_tempSwap.Clone(Form("Fit_%i_1-CDF_%.3f_cen_%i_%s", didacticCounterWorst, CDF, fInCentralitySelection, detector.Data() ));
995 TF1* didactifFit = (TF1*)fFitModulation->Clone(Form("fit_%i_p_%.3f_cen_%i_%s", didacticCounterWorst, CDF, fInCentralitySelection, detector.Data()));
996 didacticProfile->GetListOfFunctions()->Add(didactifFit);
997 fOutputListBad->Add(didacticProfile);
998 didacticCounterWorst++;
999 } break;
1000 default : break;
1001 }
3531e13d 1002 switch (fFitModulationType) {
1003 case kNoFit : break; // nothing to do
fe4a8ccf 1004 case kCombined : fFitModulation->SetParameter(7, 0); // no break
1005 case kFourierSeries : fFitModulation->SetParameter(7, 0); // no break
1006 default : { // needs to be done if there was a poor fit
3531e13d 1007 fFitModulation->SetParameter(3, 0);
1008 fFitModulation->SetParameter(0, RhoVal());
1009 } break;
1010 }
847e45e0 1011 return kFALSE; // return false if the fit is rejected
fe4a8ccf 1012 }
847e45e0 1013 return kTRUE;
38d2189d 1014}
1015//_____________________________________________________________________________
1016Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(AliVEvent* event)
1017{
1018 // event cuts
1019 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1020 if(!event) return kFALSE;
1021 if(TMath::Abs(InputEvent()->GetPrimaryVertex()->GetZ()) > 10.) return kFALSE;
1022 // aod and esd specific checks
1023 switch (fDataType) {
1024 case kESD: {
1025 AliESDEvent* esdEvent = static_cast<AliESDEvent*>(InputEvent());
1026 if( (!esdEvent) || (TMath::Abs(esdEvent->GetPrimaryVertexSPD()->GetZ() - esdEvent->GetPrimaryVertex()->GetZ()) > .5) ) return kFALSE;
1027 } break;
1028 case kAOD: {
1029 AliAODEvent* aodEvent = static_cast<AliAODEvent*>(InputEvent());
1030 if( (!aodEvent) || (TMath::Abs(aodEvent->GetPrimaryVertexSPD()->GetZ() - aodEvent->GetPrimaryVertex()->GetZ()) > .5) ) return kFALSE;
1031 } break;
1032 default: break;
1033 }
1034 fCent = InputEvent()->GetCentrality()->GetCentralityPercentile("V0M");
29495bcf 1035 if(fCent <= fCentralityClasses->At(0) || fCent >= fCentralityClasses->At(fCentralityClasses->GetSize()-1) || TMath::Abs(fCent-InputEvent()->GetCentrality()->GetCentralityPercentile("TRK")) > 5.) return kFALSE;
3531e13d 1036 // determine centrality class
1037 for(Int_t i(0); i < fCentralityClasses->GetSize()-1; i++) {
29495bcf 1038 if(fCent >= fCentralityClasses->At(i) && fCent <= fCentralityClasses->At(1+i)) {
3531e13d 1039 fInCentralitySelection = i;
1040 break; }
1041 }
b7453b38 1042 if(fExplicitOutlierCut == 2010 || fExplicitOutlierCut == 2011) {
1043 if(!PassesCuts(fExplicitOutlierCut)) return kFALSE;
1044 }
38d2189d 1045 if(fFillQAHistograms) FillQAHistograms(event);
1046 return kTRUE;
1047}
1048//_____________________________________________________________________________
b7453b38 1049Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(Int_t year)
1050{
1051 // additional centrality cut based on relation between tpc and global multiplicity
1052 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1053 AliAODEvent* event(dynamic_cast<AliAODEvent*>(InputEvent()));
1054 if(!event) return kFALSE;
1055 Int_t multTPC(0), multGlob(0), nTracks(InputEvent()->GetNumberOfTracks());
1056 for(Int_t iTracks = 0; iTracks < nTracks; iTracks++) {
1057 AliAODTrack* track = event->GetTrack(iTracks);
1058 if(!track) continue;
1059 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
1060 if (track->TestFilterBit(1) && track->Chi2perNDF() > 0.2) multTPC++;
1061 if (!track->TestFilterBit(16) || track->Chi2perNDF() < 0.1) continue;
1062 Double_t b[2] = {-99., -99.};
1063 Double_t bCov[3] = {-99., -99., -99.};
1064 if (track->PropagateToDCA(event->GetPrimaryVertex(), event->GetMagneticField(), 100., b, bCov) && TMath::Abs(b[0]) < 0.3 && TMath::Abs(b[1]) < 0.3) multGlob++;
1065 }
1066 if(year == 2010 && multTPC > (-40.3+1.22*multGlob) && multTPC < (32.1+1.59*multGlob)) return kTRUE;
1067 if(year == 2011 && multTPC > (-36.73 + 1.48*multGlob) && multTPC < (62.87 + 1.78*multGlob)) return kTRUE;
1068 return kFALSE;
1069}
1070//_____________________________________________________________________________
38d2189d 1071Bool_t AliAnalysisTaskRhoVnModulation::PassesCuts(const AliVCluster* cluster) const
1072{
1073 // cluster cuts
1074 if(fDebug > 1) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1075 if(!cluster) return kFALSE;
1076 return kTRUE;
1077}
1078//_____________________________________________________________________________
38d2189d 1079void AliAnalysisTaskRhoVnModulation::FillHistogramsAfterSubtraction(Double_t vzero[2][2], Double_t* tpc) const
1080{
1081 // fill histograms
1082 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1083 FillTrackHistograms();
1084 /* FillClusterHistograms(); */
1085 FillJetHistograms(vzero, tpc);
1086 /* FillCorrectedClusterHistograms(); */
1087 FillEventPlaneHistograms(vzero, tpc);
1088 FillRhoHistograms();
847e45e0 1089 switch (fDetectorType) { // determine the detector type for the rho fit
1090 case kTPC : { FillDeltaPtHistograms(tpc[0], tpc[1]); } break;
847e45e0 1091 case kVZEROA : { FillDeltaPtHistograms(vzero[0][0], vzero[0][1]); } break;
1092 case kVZEROC : { FillDeltaPtHistograms(vzero[1][0], vzero[1][1]); } break;
1093 default : break;
1094 }
38d2189d 1095 FillDeltaPhiHistograms(vzero, tpc);
1096}
1097//_____________________________________________________________________________
1098void AliAnalysisTaskRhoVnModulation::FillTrackHistograms() const
1099{
1100 // fill track histograms
1101 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1102 Int_t iTracks(fTracks->GetEntriesFast());
1103 for(Int_t i(0); i < iTracks; i++) {
1104 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(i));
1105 if(!PassesCuts(track)) continue;
1106 fHistPicoTrackPt[fInCentralitySelection]->Fill(track->Pt());
38d2189d 1107 if(fFillQAHistograms) FillQAHistograms(track);
1108 }
38d2189d 1109}
1110//_____________________________________________________________________________
1111void AliAnalysisTaskRhoVnModulation::FillClusterHistograms() const
1112{
1113 // fill cluster histograms
1114 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1115 /* Int_t iClusters(fCaloClusters->GetEntriesFast());
1116 for(Int_t i(0); i < iClusters; i++) {
1117 AliVCluster* cluster = static_cast<AliVCluster*>(fCaloClusters->At(iClusters));
1118 if (!PassesCuts(cluster)) continue;
1119 TLorentzVector clusterLorentzVector;
1120 cluster->GetMomentum(clusterLorentzVector, const_cast<Double_t*>(fVertex));
1121 fHistClusterPt[fInCentralitySelection]->Fill(clusterLorentzVector.Pt());
1122 fHistClusterEta[fInCentralitySelection]->Fill(clusterLorentzVector.Eta());
1123 fHistClusterPhi[fInCentralitySelection]->Fill(clusterLorentzVector.Phi());
1124 }
1125 return; */
1126}
1127//_____________________________________________________________________________
1128void AliAnalysisTaskRhoVnModulation::FillCorrectedClusterHistograms() const
1129{
1130 // fill clusters after hadronic correction FIXME implement
1131 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
38d2189d 1132}
1133//_____________________________________________________________________________
1134void AliAnalysisTaskRhoVnModulation::FillEventPlaneHistograms(Double_t vzero[2][2], Double_t* tpc) const
1135{
1136 // fill event plane histograms
1137 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
847e45e0 1138 fHistPsiControl->Fill(0.5, vzero[0][0]); // vzero a psi2
1139 fHistPsiControl->Fill(1.5, vzero[1][0]); // vzero c psi2
1140 fHistPsiControl->Fill(2.5, tpc[0]); // tpc psi 2
847e45e0 1141 fHistPsiControl->Fill(5.5, vzero[0][1]); // vzero a psi3
1142 fHistPsiControl->Fill(6.5, vzero[1][1]); // vzero b psi3
1143 fHistPsiControl->Fill(7.5, tpc[1]); // tpc psi 3
38d2189d 1144 fHistPsiVZEROA->Fill(vzero[0][0]);
1145 fHistPsiVZEROC->Fill(vzero[1][0]);
1146 fHistPsiTPC->Fill(tpc[0]);
847e45e0 1147 fHistPsiSpread->Fill(0.5, TMath::Abs(vzero[0][0]-vzero[1][0]));
1148 fHistPsiSpread->Fill(1.5, TMath::Abs(vzero[0][0]-tpc[0]));
1149 fHistPsiSpread->Fill(2.5, TMath::Abs(vzero[1][0]-tpc[0]));
38d2189d 1150}
1151//_____________________________________________________________________________
1152void AliAnalysisTaskRhoVnModulation::FillRhoHistograms() const
1153{
1154 // fill rho histograms
1155 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1156 fHistRhoPackage[fInCentralitySelection]->Fill(RhoVal()); // save the rho estimate from the emcal jet package
1157 // get multiplicity FIXME inefficient
1158 Int_t iTracks(fTracks->GetEntriesFast()), mult(0), iJets(fJets->GetEntriesFast());
1159 for(Int_t i(0); i < iTracks; i ++) { if(PassesCuts(static_cast<AliVTrack*>(fTracks->At(i)))) mult++; }
1160 Double_t rho(RhoVal(TMath::Pi(), TMath::Pi(), fRho->GetVal()));
1161 fHistRho[fInCentralitySelection]->Fill(rho);
1162 fHistRhoVsMult->Fill(mult, rho);
1163 fHistRhoVsCent->Fill(fCent, rho);
1164 for(Int_t i(0); i < iJets; i++) {
1165 AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
1166 if(!PassesCuts(jet)) continue;
1167 fHistRhoAVsMult->Fill(mult, rho * jet->Area());
1168 fHistRhoAVsCent->Fill(fCent, rho * jet->Area());
1169 }
38d2189d 1170}
1171//_____________________________________________________________________________
847e45e0 1172void AliAnalysisTaskRhoVnModulation::FillDeltaPtHistograms(Double_t psi2, Double_t psi3) const
38d2189d 1173{
1174 // fill delta pt histograms
1175 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
38d2189d 1176 Int_t i(0), maxCones(20);
1177 AliEmcalJet* leadingJet(0x0);
847e45e0 1178 static Int_t sJets[9999] = {-1};
1179 GetSortedArray(sJets, fJets);
38d2189d 1180 do { // get the leading jet
1181 leadingJet = static_cast<AliEmcalJet*>(fJets->At(sJets[i]));
1182 i++;
1183 }
1184 while (!PassesCuts(leadingJet)&&i<fJets->GetEntriesFast());
1185 if(!leadingJet && fDebug > 0) printf(" > failed to retrieve leading jet ! < \n");
1186 const Float_t areaRC = fRandomConeRadius*fRandomConeRadius*TMath::Pi();
1187 // we're retrieved the leading jet, now get a random cone
1188 for(i = 0; i < maxCones; i++) {
1189 Float_t pt(0), eta(0), phi(0);
1190 // get a random cone without constraints on leading jet position
1191 CalculateRandomCone(pt, eta, phi, 0x0);
1192 if(pt > 0) {
1193 fHistRCPhiEta[fInCentralitySelection]->Fill(phi, eta);
1194 fHistRhoVsRCPt[fInCentralitySelection]->Fill(pt, RhoVal(phi, fJetRadius, fRho->GetVal())*areaRC);
1195 fHistRCPt[fInCentralitySelection]->Fill(pt);
406b7c22 1196 fHistDeltaPtDeltaPhi2[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*RhoVal(phi, fJetRadius, fRho->GetVal()));
1197 fHistDeltaPtDeltaPhi3[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt - areaRC*RhoVal(phi, fJetRadius, fRho->GetVal()));
38d2189d 1198 }
1199 // get a random cone excluding leading jet area
1200 CalculateRandomCone(pt, eta, phi, leadingJet);
1201 if(pt > 0) {
1202 fHistRCPhiEtaExLJ[fInCentralitySelection]->Fill(phi, eta);
1203 fHistRhoVsRCPtExLJ[fInCentralitySelection]->Fill(pt, RhoVal(phi, fJetRadius, fRho->GetVal())*areaRC);
1204 fHistRCPtExLJ[fInCentralitySelection]->Fill(pt);
406b7c22 1205 fHistDeltaPtDeltaPhi2ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*RhoVal(phi, fJetRadius, fRho->GetVal()));
1206 fHistDeltaPtDeltaPhi3ExLJ[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt - areaRC*RhoVal(phi, fJetRadius, fRho->GetVal()));
38d2189d 1207 }
1208 // get a random cone in an event with randomized phi and eta
406b7c22 1209 /* CalculateRandomCone(pt, eta, phi, 0x0, kTRUE);
38d2189d 1210 if( pt > 0) {
1211 fHistRCPhiEtaRand[fInCentralitySelection]->Fill(phi, eta);
1212 fHistRhoVsRCPtRand[fInCentralitySelection]->Fill(pt, RhoVal(phi, fJetRadius, fRho->GetVal())*areaRC);
1213 fHistRCPtRand[fInCentralitySelection]->Fill(pt);
406b7c22 1214 fHistDeltaPtDeltaPhi2Rand[fInCentralitySelection]->Fill(PhaseShift(phi-psi2, 2.), pt - areaRC*RhoVal(phi, fJetRadius, fRho->GetVal()));
1215 fHistDeltaPtDeltaPhi3Rand[fInCentralitySelection]->Fill(PhaseShift(phi-psi3, 3.), pt - areaRC*RhoVal(phi, fJetRadius, fRho->GetVal()));
1216 } */
38d2189d 1217 }
1218}
1219//_____________________________________________________________________________
1220void AliAnalysisTaskRhoVnModulation::FillJetHistograms(Double_t vzero[2][2], Double_t* tpc) const
1221{
1222 // fill jet histograms
1223 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1224 Int_t iJets(fJets->GetEntriesFast());
1225 for(Int_t i(0); i < iJets; i++) {
1226 AliEmcalJet* jet = static_cast<AliEmcalJet*>(fJets->At(i));
c33a92e5 1227 if(PassesCuts(jet)) {
1228 Double_t pt(jet->Pt()), area(jet->Area()), eta(jet->Eta()), phi(jet->Phi());
1229 Double_t rho(RhoVal(phi, fJetRadius, fRho->GetVal()));
1230 fHistJetPtRaw[fInCentralitySelection]->Fill(pt);
1231 fHistJetPt[fInCentralitySelection]->Fill(pt-area*rho);
1232 fHistJetEtaPhi[fInCentralitySelection]->Fill(eta, phi);
1233 fHistJetPtArea[fInCentralitySelection]->Fill(pt-area*rho, area);
406b7c22 1234 fHistJetPsiTPCPt[fInCentralitySelection]->Fill(PhaseShift(phi-tpc[0], 2.), pt-area*rho);
1235 fHistJetPsiVZEROAPt[fInCentralitySelection]->Fill(PhaseShift(phi-vzero[0][0], 2.), pt-area*rho);
1236 fHistJetPsiVZEROCPt[fInCentralitySelection]->Fill(PhaseShift(phi-vzero[1][0], 2.), pt-area*rho);
c33a92e5 1237 fHistJetPtConstituents[fInCentralitySelection]->Fill(pt-area*rho, jet->Nch());
1238 fHistJetEtaRho[fInCentralitySelection]->Fill(eta, pt/area);
1239 if(fSetPtSub) jet->SetPtSub(pt-area*rho);
1240 }
1241 else { // if the jet is rejected, excluded it for the flow analysis
1242 if(fSetPtSub) jet->SetPtSub(-999.);
1243 }
38d2189d 1244 }
1245}
1246//_____________________________________________________________________________
1247void AliAnalysisTaskRhoVnModulation::FillDeltaPhiHistograms(Double_t vzero[2][2], Double_t* tpc) const
1248{
1249 // fill phi minus psi histograms
1250 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1251 if(fTracks) {
1252 Int_t iTracks(fTracks->GetEntriesFast());
1253 for(Int_t iTPC(0); iTPC < iTracks; iTPC++) {
1254 AliVTrack* track = static_cast<AliVTrack*>(fTracks->At(iTPC));
1255 if(!PassesCuts(track)) continue;
406b7c22 1256 fHistDeltaPhi2VZEROA[fInCentralitySelection]->Fill(PhaseShift(track->Phi()-vzero[0][0], 2.));
1257 fHistDeltaPhi2VZEROC[fInCentralitySelection]->Fill(PhaseShift(track->Phi()-vzero[1][0], 2.));
1258 fHistDeltaPhi2TPC[fInCentralitySelection]->Fill(PhaseShift(track->Phi()-tpc[0], 2.));
1259 fHistDeltaPhi3VZEROA[fInCentralitySelection]->Fill(PhaseShift(track->Phi()-vzero[0][1], 3.));
1260 fHistDeltaPhi3VZEROC[fInCentralitySelection]->Fill(PhaseShift(track->Phi()-vzero[1][1], 3.));
1261 fHistDeltaPhi3TPC[fInCentralitySelection]->Fill(PhaseShift(track->Phi()-tpc[1], 3.));
38d2189d 1262 }
1263 }
1264}
1265//_____________________________________________________________________________
1266void AliAnalysisTaskRhoVnModulation::FillQAHistograms(AliVTrack* vtrack) const
1267{
1268 // fill qa histograms for pico tracks
1269 if(!vtrack) return;
1270 AliPicoTrack* track = static_cast<AliPicoTrack*>(vtrack);
1271 fHistRunnumbersPhi->Fill(fMappedRunNumber, track->Phi());
1272 fHistRunnumbersEta->Fill(fMappedRunNumber, track->Eta());
38d2189d 1273 Int_t type((int)(track->GetTrackType()));
1274 switch (type) {
1275 case 0:
1276 fHistPicoCat1[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
1277 break;
1278 case 1:
1279 fHistPicoCat2[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
1280 break;
1281 case 2:
1282 fHistPicoCat3[fInCentralitySelection]->Fill(track->Eta(), track->Phi());
1283 break;
1284 default: break;
1285 }
1286}
1287//_____________________________________________________________________________
1288void AliAnalysisTaskRhoVnModulation::FillQAHistograms(AliVEvent* vevent)
1289{
1290 // fill qa histograms for events
1291 if(!vevent) return;
1292 fHistVertexz->Fill(vevent->GetPrimaryVertex()->GetZ());
1293 fHistCentrality->Fill(fCent);
1294 Int_t runNumber(InputEvent()->GetRunNumber());
1295 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};
b43cf414 1296 for(fMappedRunNumber = 0; fMappedRunNumber < 64; fMappedRunNumber++) {
38d2189d 1297 if(runs[fMappedRunNumber]==runNumber) break;
1298 }
1299}
1300//_____________________________________________________________________________
5bd4db5f 1301void AliAnalysisTaskRhoVnModulation::FillAnalysisSummaryHistogram() const
1302{
1303 // fill the analysis summary histrogram, saves all relevant analysis settigns
1304 if(fDebug > 0) printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1305 fHistAnalysisSummary->GetXaxis()->SetBinLabel(1, "fJetRadius");
1306 fHistAnalysisSummary->SetBinContent(1, fJetRadius);
1307 fHistAnalysisSummary->GetXaxis()->SetBinLabel(2, "fPtBiasJetTrack");
1308 fHistAnalysisSummary->SetBinContent(2, fPtBiasJetTrack);
1309 fHistAnalysisSummary->GetXaxis()->SetBinLabel(3, "fPtBiasJetClus");
1310 fHistAnalysisSummary->SetBinContent(3, fPtBiasJetClus);
1311 fHistAnalysisSummary->GetXaxis()->SetBinLabel(4, "fJetPtCut");
1312 fHistAnalysisSummary->SetBinContent(4, fJetPtCut);
1313 fHistAnalysisSummary->GetXaxis()->SetBinLabel(5, "fJetAreaCut");
1314 fHistAnalysisSummary->SetBinContent(5, fJetAreaCut);
1315 fHistAnalysisSummary->GetXaxis()->SetBinLabel(6, "fPercAreaCut");
1316 fHistAnalysisSummary->SetBinContent(6, fPercAreaCut);
1317 fHistAnalysisSummary->GetXaxis()->SetBinLabel(7, "fAreaEmcCut");
1318 fHistAnalysisSummary->SetBinContent(7, fAreaEmcCut);
1319 fHistAnalysisSummary->GetXaxis()->SetBinLabel(8, "fJetMinEta");
1320 fHistAnalysisSummary->SetBinContent(8, fJetMinEta);
1321 fHistAnalysisSummary->GetXaxis()->SetBinLabel(9, "fJetMaxEta");
1322 fHistAnalysisSummary->SetBinContent(9, fJetMaxEta);
1323 fHistAnalysisSummary->GetXaxis()->SetBinLabel(10, "fJetMinPhi");
1324 fHistAnalysisSummary->SetBinContent(10, fJetMinPhi);
1325 fHistAnalysisSummary->GetXaxis()->SetBinLabel(11, "fJetMaxPhi");
1326 fHistAnalysisSummary->SetBinContent(11, fJetMaxPhi);
1327 fHistAnalysisSummary->GetXaxis()->SetBinLabel(12, "fMaxClusterPt");
1328 fHistAnalysisSummary->SetBinContent(12, fMaxClusterPt);
1329 fHistAnalysisSummary->GetXaxis()->SetBinLabel(13, "fMaxTrackPt");
1330 fHistAnalysisSummary->SetBinContent(13, fMaxTrackPt);
1331 fHistAnalysisSummary->GetXaxis()->SetBinLabel(14, "fLeadingHadronType");
1332 fHistAnalysisSummary->SetBinContent(14, fLeadingHadronType);
1333 fHistAnalysisSummary->GetXaxis()->SetBinLabel(15, "fAnaType");
1334 fHistAnalysisSummary->SetBinContent(15, fAnaType);
1335 fHistAnalysisSummary->GetXaxis()->SetBinLabel(16, "fForceBeamType");
1336 fHistAnalysisSummary->SetBinContent(16, fForceBeamType);
1337 fHistAnalysisSummary->GetXaxis()->SetBinLabel(17, "fMinCent");
1338 fHistAnalysisSummary->SetBinContent(17, fMinCent);
1339 fHistAnalysisSummary->GetXaxis()->SetBinLabel(18, "fMaxCent");
1340 fHistAnalysisSummary->SetBinContent(18, fMaxCent);
1341 fHistAnalysisSummary->GetXaxis()->SetBinLabel(19, "fMinVz");
1342 fHistAnalysisSummary->SetBinContent(19, fMinVz);
1343 fHistAnalysisSummary->GetXaxis()->SetBinLabel(20, "fMaxVz");
1344 fHistAnalysisSummary->SetBinContent(20, fMaxVz);
1345 fHistAnalysisSummary->GetXaxis()->SetBinLabel(21, "fOffTrigger");
1346 fHistAnalysisSummary->SetBinContent(21, fOffTrigger);
1347 fHistAnalysisSummary->GetXaxis()->SetBinLabel(22, "fClusPtCut");
1348 fHistAnalysisSummary->SetBinContent(22, fClusPtCut);
1349 fHistAnalysisSummary->GetXaxis()->SetBinLabel(23, "fTrackPtCut");
1350 fHistAnalysisSummary->SetBinContent(23, fTrackPtCut);
1351 fHistAnalysisSummary->GetXaxis()->SetBinLabel(24, "fTrackMinEta");
1352 fHistAnalysisSummary->SetBinContent(24, fTrackMinEta);
1353 fHistAnalysisSummary->GetXaxis()->SetBinLabel(25, "fTrackMaxEta");
1354 fHistAnalysisSummary->SetBinContent(25, fTrackMaxEta);
1355 fHistAnalysisSummary->GetXaxis()->SetBinLabel(26, "fTrackMinPhi");
1356 fHistAnalysisSummary->SetBinContent(26, fTrackMinPhi);
1357 fHistAnalysisSummary->GetXaxis()->SetBinLabel(27, "fTrackMaxPhi");
1358 fHistAnalysisSummary->SetBinContent(27, fTrackMaxPhi);
1359 fHistAnalysisSummary->GetXaxis()->SetBinLabel(28, "fClusTimeCutLow");
1360 fHistAnalysisSummary->SetBinContent(28, fClusTimeCutLow);
1361 fHistAnalysisSummary->GetXaxis()->SetBinLabel(29, "fClusTimeCutUp");
1362 fHistAnalysisSummary->SetBinContent(29, fClusTimeCutUp);
1363 fHistAnalysisSummary->GetXaxis()->SetBinLabel(30, "fMinPtTrackInEmcal");
1364 fHistAnalysisSummary->SetBinContent(30, fMinPtTrackInEmcal);
1365 fHistAnalysisSummary->GetXaxis()->SetBinLabel(31, "fEventPlaneVsEmcal");
1366 fHistAnalysisSummary->SetBinContent(31, fEventPlaneVsEmcal);
1367 fHistAnalysisSummary->GetXaxis()->SetBinLabel(32, "fMinEventPlane");
1368 fHistAnalysisSummary->SetBinContent(32, fMaxEventPlane);
1369 fHistAnalysisSummary->GetXaxis()->SetBinLabel(33, "fRandomConeRadius");
1370 fHistAnalysisSummary->SetBinContent(33, fRandomConeRadius);
1371 fHistAnalysisSummary->GetXaxis()->SetBinLabel(34, "fitModulationType");
1372 fHistAnalysisSummary->SetBinContent(34, (int)fFitModulationType);
1373 fHistAnalysisSummary->GetXaxis()->SetBinLabel(35, "runModeType");
1374 fHistAnalysisSummary->SetBinContent(35, (int)fRunModeType);
1375 fHistAnalysisSummary->GetXaxis()->SetBinLabel(36, "data type");
1376 fHistAnalysisSummary->SetBinContent(36, (int)fDataType);
1377 fHistAnalysisSummary->GetXaxis()->SetBinLabel(37, "iterator");
1378 fHistAnalysisSummary->SetBinContent(37, 1.);
1379 fHistAnalysisSummary->GetXaxis()->SetBinLabel(38, "fMinPvalue");
1380 fHistAnalysisSummary->SetBinContent(38, fMinPvalue);
1381 fHistAnalysisSummary->GetXaxis()->SetBinLabel(39, "fMaxPvalue");
1382 fHistAnalysisSummary->SetBinContent(39, fMaxPvalue);
1383 fHistAnalysisSummary->GetXaxis()->SetBinLabel(40, "fExcludeLeadingJetsFromFit");
1384 fHistAnalysisSummary->SetBinContent(40, fExcludeLeadingJetsFromFit);
1385 fHistAnalysisSummary->GetXaxis()->SetBinLabel(41, "fRebinSwapHistoOnTheFly");
1386 fHistAnalysisSummary->SetBinContent(41, (int)fRebinSwapHistoOnTheFly);
1387 fHistAnalysisSummary->GetXaxis()->SetBinLabel(42, "fUsePtWeight");
1388 fHistAnalysisSummary->SetBinContent(42, (int)fUsePtWeight);
1389 fHistAnalysisSummary->GetXaxis()->SetBinLabel(43, "fMinLeadingHadronPt");
1390 fHistAnalysisSummary->SetBinContent(43, fMinLeadingHadronPt);
1391 fHistAnalysisSummary->GetXaxis()->SetBinLabel(44, "fExplicitOutlierCut");
1392 fHistAnalysisSummary->SetBinContent(44, fExplicitOutlierCut);
1393 fHistAnalysisSummary->GetXaxis()->SetBinLabel(45, "fLocalJetMinEta");
1394 fHistAnalysisSummary->SetBinContent(45,fLocalJetMinEta );
1395 fHistAnalysisSummary->GetXaxis()->SetBinLabel(46, "fLocalJetMaxEta");
1396 fHistAnalysisSummary->SetBinContent(46, fLocalJetMaxEta);
1397 fHistAnalysisSummary->GetXaxis()->SetBinLabel(47, "fLocalJetMinPhi");
1398 fHistAnalysisSummary->SetBinContent(47, fLocalJetMinPhi);
1399 fHistAnalysisSummary->GetXaxis()->SetBinLabel(48, "fLocalJetMaxPhi");
1400 fHistAnalysisSummary->SetBinContent(48, fLocalJetMaxPhi);
e2fde0c9 1401 fHistAnalysisSummary->GetXaxis()->SetBinLabel(49, "fSoftTrackMinPt");
1402 fHistAnalysisSummary->SetBinContent(49, fSoftTrackMinPt);
1403 fHistAnalysisSummary->GetXaxis()->SetBinLabel(50, "fSoftTrackMaxPt");
1404 fHistAnalysisSummary->SetBinContent(50, fSoftTrackMaxPt);
5bd4db5f 1405}
1406//_____________________________________________________________________________
38d2189d 1407void AliAnalysisTaskRhoVnModulation::Terminate(Option_t *)
1408{
1409 // terminate
1410 switch (fRunModeType) {
1411 case kLocal : {
1412 printf("__FILE__ = %s \n __LINE __ %i , __FUNC__ %s \n ", __FILE__, __LINE__, __func__);
1413 if(fFillQAHistograms) {
1414 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};
1415 for(Int_t i(0); i < 64; i++) {
1416 fHistRunnumbersPhi->GetXaxis()->SetBinLabel(i+1, Form("%i", runs[i]));
1417 fHistRunnumbersEta->GetXaxis()->SetBinLabel(i+1, Form("%i", runs[i]));
1418 }
1419 fHistRunnumbersPhi->GetXaxis()->SetBinLabel(65, "undetermined");
1420 fHistRunnumbersEta->GetXaxis()->SetBinLabel(65, "undetermined");
1421 }
1422 AliAnalysisTaskRhoVnModulation::Dump();
1423 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));
1424 } break;
1425 default : break;
1426 }
1427}
1428//_____________________________________________________________________________
1460d7da 1429TH1F* AliAnalysisTaskRhoVnModulation::GetResolutionFromOuptutFile(detectorType det, Int_t h, TArrayD* cen)
1430{
1431 // INTERFACE METHOD FOR OUTPUTFILE
1432 // get the detector resolution, user has ownership of the returned histogram
60ad809f 1433 if(!fOutputList) {
1434 printf(" > Please add fOutputList first < \n");
1435 return 0x0;
1436 }
1460d7da 1437 TH1F* r(0x0);
1438 (cen) ? r = new TH1F("R", "R", cen->GetSize()-1, cen->GetArray()) : r = new TH1F("R", "R", 10, 0, 10);
1439 if(!cen) r->GetXaxis()->SetTitle("number of centrality bin");
1440 r->GetYaxis()->SetTitle(Form("Resolution #Psi_{%i}", h));
1441 for(Int_t i(0); i < 10; i++) {
1442 TProfile* temp((TProfile*)fOutputList->FindObject(Form("fProfV%iResolution_%i", h, i)));
1443 if(!temp) break;
1444 Double_t a(temp->GetBinContent(3)), b(temp->GetBinContent(5)), c(temp->GetBinContent(7));
1445 Double_t _a(temp->GetBinError(3)), _b(temp->GetBinError(5)), _c(temp->GetBinError(7));
1446 if(a <= 0 || b <= 0 || c <= 0) continue;
1447 switch (det) {
1448 case kVZEROA : {
1449 r->SetBinContent(1+i, TMath::Sqrt((a*b)/c));
1450 if(i==0) r->SetNameTitle("VZEROA resolution", "VZEROA resolution");
1451 } break;
1452 case kVZEROC : {
1453 r->SetBinContent(1+i, TMath::Sqrt((a*c)/b));
1454 if(i==0) r->SetNameTitle("VZEROC resolution", "VZEROC resolution");
1455 } break;
1456 case kTPC : {
1457 r->SetBinContent(1+i, TMath::Sqrt((b*c)/a));
1458 if(i==0) r->SetNameTitle("TPC resolution", "TPC resolution");
1459 } break;
1460 default : break;
1461 }
1462 r->SetBinError(1+i, TMath::Sqrt(_a*_a+_b*_b+_c*_c));
1463 }
1464 return r;
1465}
1466//_____________________________________________________________________________
1467TH1F* AliAnalysisTaskRhoVnModulation::CorrectForResolutionDiff(TH1F* v, detectorType det, TArrayD* cen, Int_t c, Int_t h)
1468{
1469 // INTERFACE METHOD FOR OUTPUT FILE
1470 // correct the supplied differential vn histogram v for detector resolution
1471 TH1F* r(GetResolutionFromOuptutFile(det, h, cen));
1472 if(!r) {
1473 printf(" > Couldn't find resolution < \n");
1474 return 0x0;
1475 }
1476 Double_t res(1./r->GetBinContent(1+r->FindBin(c)));
1477 TF1* line = new TF1("line", "pol0", 0, 200);
1478 line->SetParameter(0, res);
1479 return (v->Multiply(line)) ? v : 0x0;
1480}
1481//_____________________________________________________________________________
1482TH1F* AliAnalysisTaskRhoVnModulation::CorrectForResolutionInt(TH1F* v, detectorType det, TArrayD* cen, Int_t h)
1483{
1484 // INTERFACE METHOD FOR OUTPUT FILE
1485 // correct the supplied intetrated vn histogram v for detector resolution
1486 // integrated vn must have the same centrality binning as the resolotion correction
1487 TH1F* r(GetResolutionFromOuptutFile(det, h, cen));
1488 return (v->Divide(v, r)) ? v : 0x0;
1489}
1490//_____________________________________________________________________________