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Correcting the event mixing correction for 1D balance functions
[u/mrichter/AliRoot.git] / PWGCF / EBYE / BalanceFunctions / AliBalance.cxx
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6c178944 1/**************************************************************************
2 * Author: Panos Christakoglou. *
3 * Contributors are mentioned in the code where appropriate. *
4 * *
5 * Permission to use, copy, modify and distribute this software and its *
6 * documentation strictly for non-commercial purposes is hereby granted *
7 * without fee, provided that the above copyright notice appears in all *
8 * copies and that both the copyright notice and this permission notice *
9 * appear in the supporting documentation. The authors make no claims *
10 * about the suitability of this software for any purpose. It is *
11 * provided "as is" without express or implied warranty. *
12 **************************************************************************/
13
14/* $Id$ */
15
16//-----------------------------------------------------------------
17// Balance Function class
18// This is the class to deal with the Balance Function analysis
19// Origin: Panos Christakoglou, UOA-CERN, Panos.Christakoglou@cern.ch
20//-----------------------------------------------------------------
21
22
23//ROOT
24#include <Riostream.h>
25#include <TMath.h>
d560b581 26#include <TAxis.h>
1c8a00af 27#include <TFile.h>
b840442a 28#include <TF1.h>
74b04dd4 29#include <TH2D.h>
6c178944 30#include <TLorentzVector.h>
5c33329d 31#include <TObjArray.h>
6c178944 32#include <TGraphErrors.h>
9d1f0df5 33#include <TString.h>
6c178944 34
cd54a838 35#include "AliVParticle.h"
36#include "AliMCParticle.h"
5c33329d 37#include "AliESDtrack.h"
cd54a838 38#include "AliAODTrack.h"
39
6c178944 40#include "AliBalance.h"
41
c64cb1f6 42using std::cout;
43using std::cerr;
44using std::endl;
45
6c178944 46ClassImp(AliBalance)
47
7f0257ea 48//____________________________________________________________________//
5d534bd4 49AliBalance::AliBalance() :
50 TObject(),
9fd4b54e 51 fShuffle(kFALSE),
52 fHBTcut(kFALSE),
53 fConversionCut(kFALSE),
3feee083 54 fAnalysisLevel("ESD"),
6a3f819e 55 fAnalyzedEvents(0) ,
74b04dd4 56 fCentralityId(0) ,
57 fCentStart(0.),
47e040b5 58 fCentStop(0.),
59 fHistHBTbefore(NULL),
60 fHistHBTafter(NULL),
61 fHistConversionbefore(NULL),
62 fHistConversionafter(NULL)
74b04dd4 63{
6c178944 64 // Default constructor
3feee083 65
b966652f 66 for(Int_t i = 0; i < ANALYSIS_TYPES; i++){
67 if(i == 6) {
68 fNumberOfBins[i] = 180;
6432ac6a 69 fP1Start[i] = -360.0;
b966652f 70 fP1Stop[i] = 360.0;
71 fP2Start[i] = -360.0;
72 fP2Stop[i] = 360.0;
73 fP2Step[i] = 0.1;
74 }
75 else {
76 fNumberOfBins[i] = 20;
77 fP1Start[i] = -1.0;
78 fP1Stop[i] = 1.0;
79 fP2Start[i] = 0.0;
80 fP2Stop[i] = 2.0;
81 }
82 fP2Step[i] = TMath::Abs(fP2Start - fP2Stop) / (Double_t)fNumberOfBins[i];
74b04dd4 83 fCentStart = 0.;
84 fCentStop = 0.;
85
b966652f 86 fNn[i] = 0.0;
87 fNp[i] = 0.0;
3feee083 88
89 for(Int_t j = 0; j < MAXIMUM_NUMBER_OF_STEPS; j++) {
90 fNpp[i][j] = .0;
91 fNnn[i][j] = .0;
92 fNpn[i][j] = .0;
6432ac6a 93 fNnp[i][j] = .0;
3feee083 94 fB[i][j] = 0.0;
95 ferror[i][j] = 0.0;
6432ac6a 96 }
b966652f 97
6432ac6a 98 fHistP[i] = NULL;
99 fHistN[i] = NULL;
100 fHistPP[i] = NULL;
101 fHistPN[i] = NULL;
102 fHistNP[i] = NULL;
103 fHistNN[i] = NULL;
b966652f 104
105 }
6c178944 106}
107
6c178944 108
7f0257ea 109//____________________________________________________________________//
110AliBalance::AliBalance(const AliBalance& balance):
49a3750f 111 TObject(balance),
9fd4b54e 112 fShuffle(balance.fShuffle),
113 fHBTcut(balance.fHBTcut),
114 fConversionCut(balance.fConversionCut),
6a3f819e 115 fAnalysisLevel(balance.fAnalysisLevel),
116 fAnalyzedEvents(balance.fAnalyzedEvents),
74b04dd4 117 fCentralityId(balance.fCentralityId),
118 fCentStart(balance.fCentStart),
47e040b5 119 fCentStop(balance.fCentStop),
120 fHistHBTbefore(balance.fHistHBTbefore),
121 fHistHBTafter(balance.fHistHBTafter),
122 fHistConversionbefore(balance.fHistConversionbefore),
123 fHistConversionafter(balance.fHistConversionafter) {
7f0257ea 124 //copy constructor
b966652f 125 for(Int_t i = 0; i < ANALYSIS_TYPES; i++){
126 fNn[i] = balance.fNn[i];
127 fNp[i] = balance.fNp[i];
3feee083 128
b966652f 129 fP1Start[i] = balance.fP1Start[i];
130 fP1Stop[i] = balance.fP1Stop[i];
3feee083 131 fNumberOfBins[i] = balance.fNumberOfBins[i];
132 fP2Start[i] = balance.fP2Start[i];
133 fP2Stop[i] = balance.fP2Stop[i];
134 fP2Step[i] = balance.fP2Step[i];
74b04dd4 135 fCentStart = balance.fCentStart;
136 fCentStop = balance.fCentStop;
3feee083 137
b966652f 138 fHistP[i] = balance.fHistP[i];
139 fHistN[i] = balance.fHistN[i];
140 fHistPN[i] = balance.fHistPN[i];
141 fHistNP[i] = balance.fHistNP[i];
142 fHistPP[i] = balance.fHistPP[i];
143 fHistNN[i] = balance.fHistNN[i];
144
3feee083 145 for(Int_t j = 0; j < MAXIMUM_NUMBER_OF_STEPS; j++) {
146 fNpp[i][j] = .0;
147 fNnn[i][j] = .0;
148 fNpn[i][j] = .0;
6432ac6a 149 fNnp[i][j] = .0;
3feee083 150 fB[i][j] = 0.0;
151 ferror[i][j] = 0.0;
152 }
153 }
154 }
155
7f0257ea 156
157//____________________________________________________________________//
158AliBalance::~AliBalance() {
6c178944 159 // Destructor
6c178944 160
6432ac6a 161 for(Int_t i = 0; i < ANALYSIS_TYPES; i++){
162
163 delete fHistP[i];
164 delete fHistN[i];
165 delete fHistPN[i];
166 delete fHistNP[i];
167 delete fHistPP[i];
168 delete fHistNN[i];
169
170 }
7f0257ea 171}
172
7f0257ea 173//____________________________________________________________________//
6432ac6a 174void AliBalance::SetInterval(Int_t iAnalysisType,
175 Double_t p1Start, Double_t p1Stop,
176 Int_t ibins, Double_t p2Start, Double_t p2Stop) {
6c178944 177 // Sets the analyzed interval.
3feee083 178 // Set the same Information for all analyses
6432ac6a 179
180 if(iAnalysisType == -1){
b966652f 181 for(Int_t i = 0; i < ANALYSIS_TYPES; i++){
182 fP1Start[i] = p1Start;
183 fP1Stop[i] = p1Stop;
6432ac6a 184 fNumberOfBins[i] = ibins;
3feee083 185 fP2Start[i] = p2Start;
186 fP2Stop[i] = p2Stop;
187 fP2Step[i] = TMath::Abs(p2Start - p2Stop) / (Double_t)fNumberOfBins[i];
188 }
7f0257ea 189 }
3feee083 190 // Set the Information for one analysis
6432ac6a 191 else if((iAnalysisType > -1) && (iAnalysisType < ANALYSIS_TYPES)) {
192 fP1Start[iAnalysisType] = p1Start;
193 fP1Stop[iAnalysisType] = p1Stop;
194 fNumberOfBins[iAnalysisType] = ibins;
195 fP2Start[iAnalysisType] = p2Start;
196 fP2Stop[iAnalysisType] = p2Stop;
197 fP2Step[iAnalysisType] = TMath::Abs(p2Start - p2Stop) / (Double_t)fNumberOfBins[iAnalysisType];
7f0257ea 198 }
6432ac6a 199 else {
3feee083 200 AliError("Wrong ANALYSIS number!");
7f0257ea 201 }
6c178944 202}
203
6432ac6a 204//____________________________________________________________________//
205void AliBalance::InitHistograms() {
6a3f819e 206 //Initialize the histograms
211b716d 207
208 // global switch disabling the reference
209 // (to avoid "Replacing existing TH1" if several wagons are created in train)
210 Bool_t oldStatus = TH1::AddDirectoryStatus();
211 TH1::AddDirectory(kFALSE);
212
6432ac6a 213 TString histName;
214 for(Int_t iAnalysisType = 0; iAnalysisType < ANALYSIS_TYPES; iAnalysisType++) {
9fd4b54e 215 histName = "fHistP"; histName += kBFAnalysisType[iAnalysisType];
216 if(fShuffle) histName.Append("_shuffle");
6a3f819e 217 if(fCentralityId) histName += fCentralityId.Data();
74b04dd4 218 fHistP[iAnalysisType] = new TH2D(histName.Data(),"",fCentStop-fCentStart,fCentStart,fCentStop,100,fP1Start[iAnalysisType],fP1Stop[iAnalysisType]);
6a3f819e 219
9fd4b54e 220 histName = "fHistN"; histName += kBFAnalysisType[iAnalysisType];
221 if(fShuffle) histName.Append("_shuffle");
6a3f819e 222 if(fCentralityId) histName += fCentralityId.Data();
74b04dd4 223 fHistN[iAnalysisType] = new TH2D(histName.Data(),"",fCentStop-fCentStart,fCentStart,fCentStop,100,fP1Start[iAnalysisType],fP1Stop[iAnalysisType]);
6432ac6a 224
9fd4b54e 225 histName = "fHistPN"; histName += kBFAnalysisType[iAnalysisType];
226 if(fShuffle) histName.Append("_shuffle");
6a3f819e 227 if(fCentralityId) histName += fCentralityId.Data();
74b04dd4 228 fHistPN[iAnalysisType] = new TH2D(histName.Data(),"",fCentStop-fCentStart,fCentStart,fCentStop,fNumberOfBins[iAnalysisType],fP2Start[iAnalysisType],fP2Stop[iAnalysisType]);
6a3f819e 229
9fd4b54e 230 histName = "fHistNP"; histName += kBFAnalysisType[iAnalysisType];
231 if(fShuffle) histName.Append("_shuffle");
6a3f819e 232 if(fCentralityId) histName += fCentralityId.Data();
74b04dd4 233 fHistNP[iAnalysisType] = new TH2D(histName.Data(),"",fCentStop-fCentStart,fCentStart,fCentStop,fNumberOfBins[iAnalysisType],fP2Start[iAnalysisType],fP2Stop[iAnalysisType]);
6a3f819e 234
9fd4b54e 235 histName = "fHistPP"; histName += kBFAnalysisType[iAnalysisType];
236 if(fShuffle) histName.Append("_shuffle");
6a3f819e 237 if(fCentralityId) histName += fCentralityId.Data();
74b04dd4 238 fHistPP[iAnalysisType] = new TH2D(histName.Data(),"",fCentStop-fCentStart,fCentStart,fCentStop,fNumberOfBins[iAnalysisType],fP2Start[iAnalysisType],fP2Stop[iAnalysisType]);
6a3f819e 239
9fd4b54e 240 histName = "fHistNN"; histName += kBFAnalysisType[iAnalysisType];
241 if(fShuffle) histName.Append("_shuffle");
6a3f819e 242 if(fCentralityId) histName += fCentralityId.Data();
74b04dd4 243 fHistNN[iAnalysisType] = new TH2D(histName.Data(),"",fCentStop-fCentStart,fCentStart,fCentStop,fNumberOfBins[iAnalysisType],fP2Start[iAnalysisType],fP2Stop[iAnalysisType]);
6432ac6a 244 }
6de53600 245
246 // QA histograms
247 fHistHBTbefore = new TH2D("fHistHBTbefore","before HBT cut",200,0,2,200,0,200);
248 fHistHBTafter = new TH2D("fHistHBTafter","after HBT cut",200,0,2,200,0,200);
249 fHistConversionbefore = new TH2D("fHistConversionbefore","before Conversion cut",200,0,2,200,0,200);
250 fHistConversionafter = new TH2D("fHistConversionafter","after Conversion cut",200,0,2,200,0,200);
251
211b716d 252 TH1::AddDirectory(oldStatus);
253
6432ac6a 254}
3feee083 255
898d5b28 256//____________________________________________________________________//
09bb7bf4 257void AliBalance::PrintAnalysisSettings() {
9fd4b54e 258 //prints the analysis settings
09bb7bf4 259
260 Printf("======================================");
261 Printf("Analysis level: %s",fAnalysisLevel.Data());
3feee083 262 Printf("======================================");
b966652f 263 for(Int_t ibin = 0; ibin < ANALYSIS_TYPES; ibin++){
3feee083 264 Printf("Interval info for variable %d",ibin);
265 Printf("Analyzed interval (min.): %lf",fP2Start[ibin]);
266 Printf("Analyzed interval (max.): %lf",fP2Stop[ibin]);
267 Printf("Number of bins: %d",fNumberOfBins[ibin]);
268 Printf("Step: %lf",fP2Step[ibin]);
269 Printf(" ");
270 }
09bb7bf4 271 Printf("======================================");
898d5b28 272}
273
7f0257ea 274//____________________________________________________________________//
845fdeca 275void AliBalance::CalculateBalance(Float_t fCentrality,vector<Double_t> **chargeVector,Float_t bSign) {
6c178944 276 // Calculates the balance function
277 fAnalyzedEvents++;
278 Int_t i = 0 , j = 0;
3feee083 279 Int_t iBin = 0;
845fdeca 280
6432ac6a 281 // Initialize histograms if not done yet
282 if(!fHistPN[0]){
283 AliWarning("Histograms not yet initialized! --> Will be done now");
284 AliWarning("This works only in local mode --> Add 'gBalance->InitHistograms()' in your configBalanceFunction");
285 InitHistograms();
286 }
287
74b04dd4 288 Int_t gNtrack = chargeVector[0]->size();
289 //Printf("(AliBalance) Number of tracks: %d",gNtrack);
290
291 for(i = 0; i < gNtrack;i++){
f12385bb 292 Short_t charge = chargeVector[0]->at(i);
74b04dd4 293 Double_t rapidity = chargeVector[1]->at(i);
294 Double_t pseudorapidity = chargeVector[2]->at(i);
295 Double_t phi = chargeVector[3]->at(i);
b966652f 296
297 //0:y - 1:eta - 2:Qlong - 3:Qout - 4:Qside - 5:Qinv - 6:phi
298 for(Int_t iAnalysisType = 0; iAnalysisType < ANALYSIS_TYPES; iAnalysisType++) {
6432ac6a 299 if(iAnalysisType == kEta) {
b966652f 300 if((pseudorapidity >= fP1Start[iAnalysisType]) && (pseudorapidity <= fP1Stop[iAnalysisType])) {
301 if(charge > 0) {
302 fNp[iAnalysisType] += 1.;
74b04dd4 303 fHistP[iAnalysisType]->Fill(fCentrality,pseudorapidity);
b966652f 304 }//charge > 0
305 if(charge < 0) {
306 fNn[iAnalysisType] += 1.;
74b04dd4 307 fHistN[iAnalysisType]->Fill(fCentrality,pseudorapidity);
b966652f 308 }//charge < 0
309 }//p1 interval check
310 }//analysis type: eta
5d42ac40 311 else if(iAnalysisType == kPhi) {
b966652f 312 if((phi >= fP1Start[iAnalysisType]) && (phi <= fP1Stop[iAnalysisType])) {
313 if(charge > 0) {
314 fNp[iAnalysisType] += 1.;
74b04dd4 315 fHistP[iAnalysisType]->Fill(fCentrality,phi);
b966652f 316 }//charge > 0
317 if(charge < 0) {
318 fNn[iAnalysisType] += 1.;
74b04dd4 319 fHistN[iAnalysisType]->Fill(fCentrality,phi);
b966652f 320 }//charge < 0
321 }//p1 interval check
322 }//analysis type: phi
323 else {
324 if((rapidity >= fP1Start[iAnalysisType]) && (rapidity <= fP1Stop[iAnalysisType])) {
325 if(charge > 0) {
326 fNp[iAnalysisType] += 1.;
74b04dd4 327 fHistP[iAnalysisType]->Fill(fCentrality,rapidity);
b966652f 328 }//charge > 0
329 if(charge < 0) {
330 fNn[iAnalysisType] += 1.;
74b04dd4 331 fHistN[iAnalysisType]->Fill(fCentrality,rapidity);
b966652f 332 }//charge < 0
333 }//p1 interval check
334 }//analysis type: y, qside, qout, qlong, qinv
335 }//analysis type loop
7f0257ea 336 }
74b04dd4 337
32a4f715 338 //Printf("Np: %lf - Nn: %lf",fNp[0],fNn[0]);
6c178944 339
b966652f 340 Double_t dy = 0., deta = 0.;
341 Double_t qLong = 0., qOut = 0., qSide = 0., qInv = 0.;
342 Double_t dphi = 0.;
343
f12385bb 344 Short_t charge1 = 0;
b966652f 345 Double_t eta1 = 0., rap1 = 0.;
74b04dd4 346 Double_t px1 = 0., py1 = 0., pz1 = 0.;
347 Double_t pt1 = 0.;
b966652f 348 Double_t energy1 = 0.;
349 Double_t phi1 = 0.;
350
f12385bb 351 Short_t charge2 = 0;
b966652f 352 Double_t eta2 = 0., rap2 = 0.;
74b04dd4 353 Double_t px2 = 0., py2 = 0., pz2 = 0.;
354 Double_t pt2 = 0.;
b966652f 355 Double_t energy2 = 0.;
356 Double_t phi2 = 0.;
6c178944 357 //0:y - 1:eta - 2:Qlong - 3:Qout - 4:Qside - 5:Qinv - 6:phi
3feee083 358 for(i = 1; i < gNtrack; i++) {
c511520f 359
74b04dd4 360 charge1 = chargeVector[0]->at(i);
361 rap1 = chargeVector[1]->at(i);
362 eta1 = chargeVector[2]->at(i);
363 phi1 = chargeVector[3]->at(i);
364 px1 = chargeVector[4]->at(i);
365 py1 = chargeVector[5]->at(i);
366 pz1 = chargeVector[6]->at(i);
367 pt1 = chargeVector[7]->at(i);
368 energy1 = chargeVector[8]->at(i);
3feee083 369
370 for(j = 0; j < i; j++) {
74b04dd4 371
372 charge2 = chargeVector[0]->at(j);
373 rap2 = chargeVector[1]->at(j);
374 eta2 = chargeVector[2]->at(j);
375 phi2 = chargeVector[3]->at(j);
376 px2 = chargeVector[4]->at(j);
377 py2 = chargeVector[5]->at(j);
378 pz2 = chargeVector[6]->at(j);
e1d6ee8e 379 pt2 = chargeVector[7]->at(j);
74b04dd4 380 energy2 = chargeVector[8]->at(j);
e1d6ee8e 381
3feee083 382 // filling the arrays
383
384 // RAPIDITY
74b04dd4 385 dy = TMath::Abs(rap1 - rap2);
b966652f 386
3feee083 387 // Eta
b966652f 388 deta = TMath::Abs(eta1 - eta2);
3feee083 389
b966652f 390 //qlong
3feee083 391 Double_t eTot = energy1 + energy2;
74b04dd4 392 Double_t pxTot = px1 + px2;
393 Double_t pyTot = py1 + py2;
394 Double_t pzTot = pz1 + pz2;
3feee083 395 Double_t q0Tot = energy1 - energy2;
74b04dd4 396 Double_t qxTot = px1 - px2;
397 Double_t qyTot = py1 - py2;
398 Double_t qzTot = pz1 - pz2;
399
400 Double_t eTot2 = eTot*eTot;
401 Double_t pTot2 = pxTot*pxTot + pyTot*pyTot + pzTot*pzTot;
402 Double_t pzTot2 = pzTot*pzTot;
403
404 Double_t q0Tot2 = q0Tot*q0Tot;
405 Double_t qTot2 = qxTot*qxTot + qyTot*qyTot + qzTot*qzTot;
406
407 Double_t snn = eTot2 - pTot2;
408 Double_t ptTot2 = pTot2 - pzTot2 ;
409 Double_t ptTot = TMath::Sqrt( ptTot2 );
3feee083 410
74b04dd4 411 qLong = TMath::Abs(eTot*qzTot - pzTot*q0Tot)/TMath::Sqrt(snn + ptTot2);
b966652f 412
413 //qout
74b04dd4 414 qOut = TMath::Sqrt(snn/(snn + ptTot2)) * TMath::Abs(pxTot*qxTot + pyTot*qyTot)/ptTot;
b966652f 415
416 //qside
417 qSide = TMath::Abs(pxTot*qyTot - pyTot*qxTot)/ptTot;
3feee083 418
b966652f 419 //qinv
74b04dd4 420 qInv = TMath::Sqrt(TMath::Abs(-q0Tot2 + qTot2 ));
b966652f 421
422 //phi
6432ac6a 423 dphi = TMath::Abs(phi1 - phi2);
4bd2c3ed 424 if(dphi>180) dphi = 360 - dphi; //dphi should be between 0 and 180!
b966652f 425
49a3750f 426 // HBT like cut
9fd4b54e 427 if(fHBTcut && charge1 * charge2 > 0){
845fdeca 428 //if( dphi < 3 || deta < 0.01 ){ // VERSION 1
429 // continue;
430
431 // VERSION 2 (Taken from DPhiCorrelations)
432 // the variables & cuthave been developed by the HBT group
433 // see e.g. https://indico.cern.ch/materialDisplay.py?contribId=36&sessionId=6&materialId=slides&confId=142700
6de53600 434
435 fHistHBTbefore->Fill(deta,dphi);
845fdeca 436
437 // optimization
438 if (TMath::Abs(deta) < 0.02 * 2.5 * 3) //twoTrackEfficiencyCutValue = 0.02 [default for dphicorrelations]
439 {
e1d6ee8e 440
441 // phi in rad
442 Float_t phi1rad = phi1*TMath::DegToRad();
443 Float_t phi2rad = phi2*TMath::DegToRad();
444
845fdeca 445 // check first boundaries to see if is worth to loop and find the minimum
e1d6ee8e 446 Float_t dphistar1 = GetDPhiStar(phi1rad, pt1, charge1, phi2rad, pt2, charge2, 0.8, bSign);
447 Float_t dphistar2 = GetDPhiStar(phi1rad, pt1, charge1, phi2rad, pt2, charge2, 2.5, bSign);
845fdeca 448
449 const Float_t kLimit = 0.02 * 3;
450
451 Float_t dphistarminabs = 1e5;
452 Float_t dphistarmin = 1e5;
e1d6ee8e 453
454 if (TMath::Abs(dphistar1) < kLimit || TMath::Abs(dphistar2) < kLimit || dphistar1 * dphistar2 < 0 )
845fdeca 455 {
456 for (Double_t rad=0.8; rad<2.51; rad+=0.01)
457 {
e1d6ee8e 458 Float_t dphistar = GetDPhiStar(phi1rad, pt1, charge1, phi2rad, pt2, charge2, rad, bSign);
845fdeca 459 Float_t dphistarabs = TMath::Abs(dphistar);
460
461 if (dphistarabs < dphistarminabs)
462 {
463 dphistarmin = dphistar;
464 dphistarminabs = dphistarabs;
465 }
466 }
e1d6ee8e 467
845fdeca 468 if (dphistarminabs < 0.02 && TMath::Abs(deta) < 0.02)
469 {
e1d6ee8e 470 //AliInfo(Form("HBT: Removed track pair %d %d with [[%f %f]] %f %f %f | %f %f %d %f %f %d %f", i, j, deta, dphi, dphistarminabs, dphistar1, dphistar2, phi1rad, pt1, charge1, phi2rad, pt2, charge2, bSign));
845fdeca 471 continue;
472 }
473 }
474 }
6de53600 475 fHistHBTafter->Fill(deta,dphi);
49a3750f 476 }
845fdeca 477
478 // conversions
9fd4b54e 479 if(fConversionCut){
845fdeca 480 if (charge1 * charge2 < 0)
481 {
6de53600 482
483 fHistConversionbefore->Fill(deta,dphi);
484
845fdeca 485 Float_t m0 = 0.510e-3;
486 Float_t tantheta1 = 1e10;
e1d6ee8e 487
488 // phi in rad
489 Float_t phi1rad = phi1*TMath::DegToRad();
490 Float_t phi2rad = phi2*TMath::DegToRad();
845fdeca 491
492 if (eta1 < -1e-10 || eta1 > 1e-10)
493 tantheta1 = 2 * TMath::Exp(-eta1) / ( 1 - TMath::Exp(-2*eta1));
494
495 Float_t tantheta2 = 1e10;
496 if (eta2 < -1e-10 || eta2 > 1e-10)
497 tantheta2 = 2 * TMath::Exp(-eta2) / ( 1 - TMath::Exp(-2*eta2));
498
499 Float_t e1squ = m0 * m0 + pt1 * pt1 * (1.0 + 1.0 / tantheta1 / tantheta1);
500 Float_t e2squ = m0 * m0 + pt2 * pt2 * (1.0 + 1.0 / tantheta2 / tantheta2);
e1d6ee8e 501
502 Float_t masssqu = 2 * m0 * m0 + 2 * ( TMath::Sqrt(e1squ * e2squ) - ( pt1 * pt2 * ( TMath::Cos(phi1rad - phi2rad) + 1.0 / tantheta1 / tantheta2 ) ) );
503
504 if (masssqu < 0.04*0.04){
505 //AliInfo(Form("Conversion: Removed track pair %d %d with [[%f %f] %f %f] %d %d <- %f %f %f %f %f %f ", i, j, deta, dphi, masssqu, charge1, charge2,eta1,eta2,phi1,phi2,pt1,pt2));
845fdeca 506 continue;
507 }
6de53600 508 fHistConversionafter->Fill(deta,dphi);
845fdeca 509 }
510 }
511
512
b966652f 513 //0:y - 1:eta - 2:Qlong - 3:Qout - 4:Qside - 5:Qinv - 6:phi
74b04dd4 514 if((rap1 >= fP1Start[kRapidity]) && (rap1 <= fP1Stop[kRapidity]) && (rap2 >= fP1Start[kRapidity]) && (rap2 <= fP1Stop[kRapidity])) {
515
516 // rapidity
517 if( dy > fP2Start[kRapidity] && dy < fP2Stop[kRapidity]){
518 iBin = Int_t((dy-fP2Start[kRapidity])/fP2Step[kRapidity]);
519 if(iBin >=0 && iBin < MAXIMUM_NUMBER_OF_STEPS){
520
521 if((charge1 > 0)&&(charge2 > 0)) {
522 fNpp[kRapidity][iBin] += 1.;
523 fHistPP[kRapidity]->Fill(fCentrality,dy);
524 }
525 else if((charge1 < 0)&&(charge2 < 0)) {
526 fNnn[kRapidity][iBin] += 1.;
527 fHistNN[kRapidity]->Fill(fCentrality,dy);
528 }
529 else if((charge1 > 0)&&(charge2 < 0)) {
530 fNpn[kRapidity][iBin] += 1.;
531 fHistPN[kRapidity]->Fill(fCentrality,dy);
532 }
533 else if((charge1 < 0)&&(charge2 > 0)) {
534 fNpn[kRapidity][iBin] += 1.;
535 fHistPN[kRapidity]->Fill(fCentrality,dy);
536 }
537 }//BF binning check
538 }//p2 interval check
539 }//p1 interval check
6432ac6a 540
74b04dd4 541 // pseudorapidity
542 if((eta1 >= fP1Start[kEta]) && (eta1 <= fP1Stop[kEta]) && (eta2 >= fP1Start[kEta]) && (eta2 <= fP1Stop[kEta])) {
543 if( deta > fP2Start[kEta] && deta < fP2Stop[kEta]){
544 iBin = Int_t((deta-fP2Start[kEta])/fP2Step[kEta]);
545 if(iBin >=0 && iBin < MAXIMUM_NUMBER_OF_STEPS){
546 if((charge1 > 0)&&(charge2 > 0)) {
547 fNpp[kEta][iBin] += 1.;
548 fHistPP[kEta]->Fill(fCentrality,deta);
549 }
550 if((charge1 < 0)&&(charge2 < 0)) {
551 fNnn[kEta][iBin] += 1.;
552 fHistNN[kEta]->Fill(fCentrality,deta);
553 }
554 if((charge1 > 0)&&(charge2 < 0)) {
555 fNpn[kEta][iBin] += 1.;
556 fHistPN[kEta]->Fill(fCentrality,deta);
557 }
558 if((charge1 < 0)&&(charge2 > 0)) {
559 fNpn[kEta][iBin] += 1.;
560 fHistPN[kEta]->Fill(fCentrality,deta);
561 }
562 }//BF binning check
563 }//p2 interval check
564 }//p1 interval check
b966652f 565
74b04dd4 566 // Qlong, out, side, inv
567 // Check the p1 intervall for rapidity here (like for single tracks above)
568 if((rap1 >= fP1Start[kRapidity]) && (rap1 <= fP1Stop[kRapidity]) && (rap2 >= fP1Start[kRapidity]) && (rap2 <= fP1Stop[kRapidity])) {
569 if( qLong > fP2Start[kQlong] && qLong < fP2Stop[kQlong]){
570 iBin = Int_t((qLong-fP2Start[kQlong])/fP2Step[kQlong]);
571 if(iBin >=0 && iBin < MAXIMUM_NUMBER_OF_STEPS){
572 if((charge1 > 0)&&(charge2 > 0)) {
573 fNpp[kQlong][iBin] += 1.;
574 fHistPP[kQlong]->Fill(fCentrality,qLong);
575 }
576 if((charge1 < 0)&&(charge2 < 0)) {
577 fNnn[kQlong][iBin] += 1.;
578 fHistNN[kQlong]->Fill(fCentrality,qLong);
579 }
580 if((charge1 > 0)&&(charge2 < 0)) {
581 fNpn[kQlong][iBin] += 1.;
582 fHistPN[kQlong]->Fill(fCentrality,qLong);
583 }
584 if((charge1 < 0)&&(charge2 > 0)) {
585 fNpn[kQlong][iBin] += 1.;
586 fHistPN[kQlong]->Fill(fCentrality,qLong);
587 }
588 }//BF binning check
589 }//p2 interval check
590 }//p1 interval check
6432ac6a 591
74b04dd4 592 if((rap1 >= fP1Start[kRapidity]) && (rap1 <= fP1Stop[kRapidity]) && (rap2 >= fP1Start[kRapidity]) && (rap2 <= fP1Stop[kRapidity])) {
593 if( qOut > fP2Start[kQout] && qOut < fP2Stop[kQout]){
594 iBin = Int_t((qOut-fP2Start[kQout])/fP2Step[kQout]);
595 if(iBin >=0 && iBin < MAXIMUM_NUMBER_OF_STEPS){
596 if((charge1 > 0)&&(charge2 > 0)) {
597 fNpp[kQout][iBin] += 1.;
598 fHistPP[kQout]->Fill(fCentrality,qOut);
599 }
600 if((charge1 < 0)&&(charge2 < 0)) {
601 fNnn[kQout][iBin] += 1.;
602 fHistNN[kQout]->Fill(fCentrality,qOut);
603 }
604 if((charge1 > 0)&&(charge2 < 0)) {
605 fNpn[kQout][iBin] += 1.;
606 fHistPN[kQout]->Fill(fCentrality,qOut);
607 }
608 if((charge1 < 0)&&(charge2 > 0)) {
609 fNpn[kQout][iBin] += 1.;
610 fHistPN[kQout]->Fill(fCentrality,qOut);
611 }
612 }//BF binning check
613 }//p2 interval check
614 }//p1 interval check
615
616 if((rap1 >= fP1Start[kRapidity]) && (rap1 <= fP1Stop[kRapidity]) && (rap2 >= fP1Start[kRapidity]) && (rap2 <= fP1Stop[kRapidity])) {
617 if( qSide > fP2Start[kQside] && qSide < fP2Stop[kQside]){
618 iBin = Int_t((qSide-fP2Start[kQside])/fP2Step[kQside]);
619 if(iBin >=0 && iBin < MAXIMUM_NUMBER_OF_STEPS){
620 if((charge1 > 0)&&(charge2 > 0)) {
621 fNpp[kQside][iBin] += 1.;
622 fHistPP[kQside]->Fill(fCentrality,qSide);
623 }
624 if((charge1 < 0)&&(charge2 < 0)) {
625 fNnn[kQside][iBin] += 1.;
626 fHistNN[kQside]->Fill(fCentrality,qSide);
627 }
628 if((charge1 > 0)&&(charge2 < 0)) {
629 fNpn[kQside][iBin] += 1.;
630 fHistPN[kQside]->Fill(fCentrality,qSide);
631 }
632 if((charge1 < 0)&&(charge2 > 0)) {
633 fNpn[kQside][iBin] += 1.;
634 fHistPN[kQside]->Fill(fCentrality,qSide);
635 }
636 }//BF binning check
637 }//p2 interval check
638 }//p1 interval check
639
640 if((rap1 >= fP1Start[kRapidity]) && (rap1 <= fP1Stop[kRapidity]) && (rap2 >= fP1Start[kRapidity]) && (rap2 <= fP1Stop[kRapidity])) {
641 if( qInv > fP2Start[kQinv] && qInv < fP2Stop[kQinv]){
642 iBin = Int_t((qInv-fP2Start[kQinv])/fP2Step[kQinv]);
643 if(iBin >=0 && iBin < MAXIMUM_NUMBER_OF_STEPS){
644 if((charge1 > 0)&&(charge2 > 0)) {
645 fNpp[kQinv][iBin] += 1.;
646 fHistPP[kQinv]->Fill(fCentrality,qInv);
647 }
648 if((charge1 < 0)&&(charge2 < 0)) {
649 fNnn[kQinv][iBin] += 1.;
650 fHistNN[kQinv]->Fill(fCentrality,qInv);
651 }
652 if((charge1 > 0)&&(charge2 < 0)) {
653 fNpn[kQinv][iBin] += 1.;
654 fHistPN[kQinv]->Fill(fCentrality,qInv);
655 }
656 if((charge1 < 0)&&(charge2 > 0)) {
657 fNpn[kQinv][iBin] += 1.;
658 fHistPN[kQinv]->Fill(fCentrality,qInv);
659 }
660 }//BF binning check
661 }//p2 interval check
662 }//p1 interval check
663
664 // Phi
665 if((phi1 >= fP1Start[kPhi]) && (phi1 <= fP1Stop[kPhi]) && (phi2 >= fP1Start[kPhi]) && (phi2 <= fP1Stop[kPhi])) {
666 if( dphi > fP2Start[kPhi] && dphi < fP2Stop[kPhi]){
667 iBin = Int_t((dphi-fP2Start[kPhi])/fP2Step[kPhi]);
668 if(iBin >=0 && iBin < MAXIMUM_NUMBER_OF_STEPS){
669 if((charge1 > 0)&&(charge2 > 0)) {
670 fNpp[kPhi][iBin] += 1.;
671 fHistPP[kPhi]->Fill(fCentrality,dphi);
672 }
673 if((charge1 < 0)&&(charge2 < 0)) {
674 fNnn[kPhi][iBin] += 1.;
675 fHistNN[kPhi]->Fill(fCentrality,dphi);
676 }
677 if((charge1 > 0)&&(charge2 < 0)) {
678 fNpn[kPhi][iBin] += 1.;
679 fHistPN[kPhi]->Fill(fCentrality,dphi);
680 }
681 if((charge1 < 0)&&(charge2 > 0)) {
682 fNpn[kPhi][iBin] += 1.;
683 fHistPN[kPhi]->Fill(fCentrality,dphi);
684 }
685 }//BF binning check
686 }//p2 interval check
687 }//p1 interval check
b966652f 688 }//end of 2nd particle loop
689 }//end of 1st particle loop
3feee083 690 //Printf("Number of analyzed events: %i",fAnalyzedEvents);
74b04dd4 691 //Printf("DeltaEta NN[0] = %.0f, PP[0] = %.0f, NP[0] = %.0f, PN[0] = %.0f",fNnn[kEta][0],fNpp[kEta][0],fNnp[kEta][0],fNpn[kEta][0]);
3feee083 692}
1d8792e7 693
1d8792e7 694
7f0257ea 695//____________________________________________________________________//
33a86282 696Double_t AliBalance::GetBalance(Int_t iAnalysisType, Int_t p2) {
6c178944 697 // Returns the value of the balance function in bin p2
33a86282 698 fB[iAnalysisType][p2] = 0.5*(((fNpn[iAnalysisType][p2] - 2.*fNnn[iAnalysisType][p2])/fNn[iAnalysisType]) + ((fNpn[iAnalysisType][p2] - 2.*fNpp[iAnalysisType][p2])/fNp[iAnalysisType]))/fP2Step[iAnalysisType];
7f0257ea 699
33a86282 700 return fB[iAnalysisType][p2];
6c178944 701}
702
7f0257ea 703//____________________________________________________________________//
33a86282 704Double_t AliBalance::GetError(Int_t iAnalysisType, Int_t p2) {
6c178944 705 // Returns the error on the BF value for bin p2
6432ac6a 706 // The errors for fNn and fNp are neglected here (0.1 % of total error)
33a86282 707 /*ferror[iAnalysisType][p2] = TMath::Sqrt(Double_t(fNpp[iAnalysisType][p2])/(Double_t(fNp[iAnalysisType])*Double_t(fNp[iAnalysisType]))
708 + Double_t(fNnn[iAnalysisType][p2])/(Double_t(fNn[iAnalysisType])*Double_t(fNn[iAnalysisType]))
709 + Double_t(fNpn[iAnalysisType][p2])/(Double_t(fNp[iAnalysisType])*Double_t(fNp[iAnalysisType]))
710 + Double_t(fNnp[iAnalysisType][p2])/(Double_t(fNp[iAnalysisType])*Double_t(fNp[iAnalysisType]))
711 //+ TMath::Power(fNpn[iAnalysisType][p2]-fNpp[iAnalysisType][p2],2)/TMath::Power(Double_t(fNp[iAnalysisType]),3)
712 //+ TMath::Power(fNnp[iAnalysisType][p2]-fNnn[iAnalysisType][p2],2)/TMath::Power(Double_t(fNn[iAnalysisType]),3)
713 ) /fP2Step[iAnalysisType];*/
714
715 ferror[iAnalysisType][p2] = TMath::Sqrt( Double_t(fNpp[iAnalysisType][p2])/(Double_t(fNp[iAnalysisType])*Double_t(fNp[iAnalysisType])) +
716 Double_t(fNnn[iAnalysisType][p2])/(Double_t(fNn[iAnalysisType])*Double_t(fNn[iAnalysisType])) +
717 Double_t(fNpn[iAnalysisType][p2])*TMath::Power((0.5/Double_t(fNp[iAnalysisType]) + 0.5/Double_t(fNn[iAnalysisType])),2))/fP2Step[iAnalysisType];
6432ac6a 718
33a86282 719 return ferror[iAnalysisType][p2];
6c178944 720}
6432ac6a 721//____________________________________________________________________//
33a86282 722TGraphErrors *AliBalance::DrawBalance(Int_t iAnalysisType) {
6432ac6a 723
724 // Draws the BF
725 Double_t x[MAXIMUM_NUMBER_OF_STEPS];
726 Double_t xer[MAXIMUM_NUMBER_OF_STEPS];
727 Double_t b[MAXIMUM_NUMBER_OF_STEPS];
728 Double_t ber[MAXIMUM_NUMBER_OF_STEPS];
729
33a86282 730 if((fNp[iAnalysisType] == 0)||(fNn[iAnalysisType] == 0)) {
6432ac6a 731 cerr<<"Couldn't find any particles in the analyzed interval!!!"<<endl;
732 return NULL;
733 }
734
33a86282 735 for(Int_t i = 0; i < fNumberOfBins[iAnalysisType]; i++) {
736 b[i] = GetBalance(iAnalysisType,i);
737 ber[i] = GetError(iAnalysisType,i);
738 x[i] = fP2Start[iAnalysisType] + fP2Step[iAnalysisType]*i + fP2Step[iAnalysisType]/2;
6432ac6a 739 xer[i] = 0.0;
740 }
741
33a86282 742 TGraphErrors *gr = new TGraphErrors(fNumberOfBins[iAnalysisType],x,b,xer,ber);
6432ac6a 743 gr->GetXaxis()->SetTitleColor(1);
33a86282 744 if(iAnalysisType==0) {
6432ac6a 745 gr->SetTitle("Balance function B(#Delta y)");
746 gr->GetXaxis()->SetTitle("#Delta y");
747 gr->GetYaxis()->SetTitle("B(#Delta y)");
748 }
33a86282 749 if(iAnalysisType==1) {
6432ac6a 750 gr->SetTitle("Balance function B(#Delta #eta)");
751 gr->GetXaxis()->SetTitle("#Delta #eta");
752 gr->GetYaxis()->SetTitle("B(#Delta #eta)");
753 }
33a86282 754 if(iAnalysisType==2) {
6432ac6a 755 gr->SetTitle("Balance function B(q_{long})");
756 gr->GetXaxis()->SetTitle("q_{long} (GeV/c)");
757 gr->GetYaxis()->SetTitle("B(q_{long}) ((GeV/c)^{-1})");
758 }
33a86282 759 if(iAnalysisType==3) {
6432ac6a 760 gr->SetTitle("Balance function B(q_{out})");
761 gr->GetXaxis()->SetTitle("q_{out} (GeV/c)");
762 gr->GetYaxis()->SetTitle("B(q_{out}) ((GeV/c)^{-1})");
763 }
33a86282 764 if(iAnalysisType==4) {
6432ac6a 765 gr->SetTitle("Balance function B(q_{side})");
766 gr->GetXaxis()->SetTitle("q_{side} (GeV/c)");
767 gr->GetYaxis()->SetTitle("B(q_{side}) ((GeV/c)^{-1})");
768 }
33a86282 769 if(iAnalysisType==5) {
6432ac6a 770 gr->SetTitle("Balance function B(q_{inv})");
771 gr->GetXaxis()->SetTitle("q_{inv} (GeV/c)");
772 gr->GetYaxis()->SetTitle("B(q_{inv}) ((GeV/c)^{-1})");
773 }
33a86282 774 if(iAnalysisType==6) {
6432ac6a 775 gr->SetTitle("Balance function B(#Delta #phi)");
776 gr->GetXaxis()->SetTitle("#Delta #phi");
777 gr->GetYaxis()->SetTitle("B(#Delta #phi)");
778 }
33a86282 779
780 return gr;
6432ac6a 781}
6c178944 782
6432ac6a 783//____________________________________________________________________//
784void AliBalance::PrintResults(Int_t iAnalysisType, TH1D *gHistBalance) {
785 //Prints the calculated width of the BF and its error
786 Double_t x[MAXIMUM_NUMBER_OF_STEPS];
787 Double_t gSumXi = 0.0, gSumBi = 0.0, gSumBiXi = 0.0;
788 Double_t gSumBiXi2 = 0.0, gSumBi2Xi2 = 0.0;
789 Double_t gSumDeltaBi2 = 0.0, gSumXi2DeltaBi2 = 0.0;
790 Double_t deltaBalP2 = 0.0, integral = 0.0;
791 Double_t deltaErrorNew = 0.0;
792
47e040b5 793 // cout<<"=================================================="<<endl;
794 // for(Int_t i = 1; i <= fNumberOfBins[iAnalysisType]; i++) {
795 // x[i-1] = fP2Start[iAnalysisType] + fP2Step[iAnalysisType]*i + fP2Step[iAnalysisType]/2;
796 // cout<<"B: "<<gHistBalance->GetBinContent(i)<<"\t Error: "<<gHistBalance->GetBinError(i)<<"\t bin: "<<gHistBalance->GetBinCenter(i)<<endl;
797 // }
798 // cout<<"=================================================="<<endl;
6432ac6a 799 for(Int_t i = 2; i <= fNumberOfBins[iAnalysisType]; i++) {
800 gSumXi += gHistBalance->GetBinCenter(i);
33a86282 801 gSumBi += gHistBalance->GetBinContent(i);
802 gSumBiXi += gHistBalance->GetBinContent(i)*gHistBalance->GetBinCenter(i);
803 gSumBiXi2 += gHistBalance->GetBinContent(i)*TMath::Power(gHistBalance->GetBinCenter(i),2);
804 gSumBi2Xi2 += TMath::Power(gHistBalance->GetBinContent(i),2)*TMath::Power(gHistBalance->GetBinCenter(i),2);
805 gSumDeltaBi2 += TMath::Power(gHistBalance->GetBinError(i),2);
806 gSumXi2DeltaBi2 += TMath::Power(gHistBalance->GetBinCenter(i),2) * TMath::Power(gHistBalance->GetBinError(i),2);
6432ac6a 807
33a86282 808 deltaBalP2 += fP2Step[iAnalysisType]*TMath::Power(gHistBalance->GetBinError(i),2);
809 integral += fP2Step[iAnalysisType]*gHistBalance->GetBinContent(i);
810 }
811 for(Int_t i = 1; i < fNumberOfBins[iAnalysisType]; i++)
812 deltaErrorNew += gHistBalance->GetBinError(i)*(gHistBalance->GetBinCenter(i)*gSumBi - gSumBiXi)/TMath::Power(gSumBi,2);
813
814 Double_t integralError = TMath::Sqrt(deltaBalP2);
815
816 Double_t delta = gSumBiXi / gSumBi;
817 Double_t deltaError = (gSumBiXi / gSumBi) * TMath::Sqrt(TMath::Power((TMath::Sqrt(gSumXi2DeltaBi2)/gSumBiXi),2) + TMath::Power((gSumDeltaBi2/gSumBi),2) );
47e040b5 818 // cout<<"Analysis type: "<<kBFAnalysisType[iAnalysisType].Data()<<endl;
819 // cout<<"Width: "<<delta<<"\t Error: "<<deltaError<<endl;
820 // cout<<"New error: "<<deltaErrorNew<<endl;
821 // cout<<"Integral: "<<integral<<"\t Error: "<<integralError<<endl;
822 // cout<<"=================================================="<<endl;
6432ac6a 823}
824
825//____________________________________________________________________//
47e040b5 826TH1D *AliBalance::GetBalanceFunctionHistogram(Int_t iAnalysisType,Double_t centrMin, Double_t centrMax, Double_t etaWindow,Bool_t correctWithEfficiency, Bool_t correctWithAcceptanceOnly, Bool_t correctWithMixed, TH1D *hMixed[4]) {
74b04dd4 827 //Returns the BF histogram, extracted from the 6 TH2D objects
6432ac6a 828 //(private members) of the AliBalance class.
b7ce3d3f 829 //
830 // Acceptance correction:
831 // - only for analysis type = kEta
832 // - only if etaWindow > 0 (default = -1.)
833 // - calculated as proposed by STAR
834 //
6432ac6a 835 TString gAnalysisType[ANALYSIS_TYPES] = {"y","eta","qlong","qout","qside","qinv","phi"};
836 TString histName = "gHistBalanceFunctionHistogram";
837 histName += gAnalysisType[iAnalysisType];
838
74b04dd4 839 SetInterval(iAnalysisType, fHistP[iAnalysisType]->GetYaxis()->GetXmin(),
840 fHistP[iAnalysisType]->GetYaxis()->GetXmin(),
841 fHistPP[iAnalysisType]->GetNbinsY(),
842 fHistPP[iAnalysisType]->GetYaxis()->GetXmin(),
843 fHistPP[iAnalysisType]->GetYaxis()->GetXmax());
844
845 // determine the projection thresholds
846 Int_t binMinX, binMinY, binMinZ;
847 Int_t binMaxX, binMaxY, binMaxZ;
848
849 fHistPP[iAnalysisType]->GetBinXYZ(fHistPP[iAnalysisType]->FindBin(centrMin),binMinX,binMinY,binMinZ);
850 fHistPP[iAnalysisType]->GetBinXYZ(fHistPP[iAnalysisType]->FindBin(centrMax),binMaxX,binMaxY,binMaxZ);
6432ac6a 851
74b04dd4 852 TH1D *gHistBalanceFunctionHistogram = new TH1D(histName.Data(),"",fHistPP[iAnalysisType]->GetNbinsY(),fHistPP[iAnalysisType]->GetYaxis()->GetXmin(),fHistPP[iAnalysisType]->GetYaxis()->GetXmax());
6432ac6a 853 switch(iAnalysisType) {
854 case kRapidity:
855 gHistBalanceFunctionHistogram->GetXaxis()->SetTitle("#Delta y");
856 gHistBalanceFunctionHistogram->GetYaxis()->SetTitle("B(#Delta y)");
857 break;
858 case kEta:
859 gHistBalanceFunctionHistogram->GetXaxis()->SetTitle("#Delta #eta");
860 gHistBalanceFunctionHistogram->GetYaxis()->SetTitle("B(#Delta #eta)");
861 break;
862 case kQlong:
863 gHistBalanceFunctionHistogram->GetXaxis()->SetTitle("q_{long} (GeV/c)");
864 gHistBalanceFunctionHistogram->GetYaxis()->SetTitle("B(q_{long})");
865 break;
866 case kQout:
867 gHistBalanceFunctionHistogram->GetXaxis()->SetTitle("q_{out} (GeV/c)");
868 gHistBalanceFunctionHistogram->GetYaxis()->SetTitle("B(q_{out})");
869 break;
870 case kQside:
871 gHistBalanceFunctionHistogram->GetXaxis()->SetTitle("q_{side} (GeV/c)");
872 gHistBalanceFunctionHistogram->GetYaxis()->SetTitle("B(q_{side})");
873 break;
874 case kQinv:
875 gHistBalanceFunctionHistogram->GetXaxis()->SetTitle("q_{inv} (GeV/c)");
876 gHistBalanceFunctionHistogram->GetYaxis()->SetTitle("B(q_{inv})");
877 break;
878 case kPhi:
879 gHistBalanceFunctionHistogram->GetXaxis()->SetTitle("#Delta #phi (deg.)");
880 gHistBalanceFunctionHistogram->GetYaxis()->SetTitle("B(#Delta #phi)");
881 break;
882 default:
883 break;
884 }
74b04dd4 885
886 TH1D *hTemp1 = dynamic_cast<TH1D *>(fHistPN[iAnalysisType]->ProjectionY(Form("%s_Cent_%.0f_%.0f",fHistPN[iAnalysisType]->GetName(),centrMin,centrMax),binMinX,binMaxX));
887 TH1D *hTemp2 = dynamic_cast<TH1D *>(fHistPN[iAnalysisType]->ProjectionY(Form("%s_Cent_%.0f_%.0f_copy",fHistPN[iAnalysisType]->GetName(),centrMin,centrMax),binMinX,binMaxX));
888 TH1D *hTemp3 = dynamic_cast<TH1D *>(fHistNN[iAnalysisType]->ProjectionY(Form("%s_Cent_%.0f_%.0f",fHistNN[iAnalysisType]->GetName(),centrMin,centrMax),binMinX,binMaxX));
889 TH1D *hTemp4 = dynamic_cast<TH1D *>(fHistPP[iAnalysisType]->ProjectionY(Form("%s_Cent_%.0f_%.0f",fHistPP[iAnalysisType]->GetName(),centrMin,centrMax),binMinX,binMaxX));
890 TH1D *hTemp5 = dynamic_cast<TH1D *>(fHistN[iAnalysisType]->ProjectionY(Form("%s_Cent_%.0f_%.0f",fHistN[iAnalysisType]->GetName(),centrMin,centrMax),binMinX,binMaxX));
891 TH1D *hTemp6 = dynamic_cast<TH1D *>(fHistP[iAnalysisType]->ProjectionY(Form("%s_Cent_%.0f_%.0f",fHistP[iAnalysisType]->GetName(),centrMin,centrMax),binMinX,binMaxX));
4665ed86 892
b5b9a4f9 893 // get the file with the efficiency matrices
894 // withAcceptanceOnly: Data single distributions are normalized to 1 (efficiency not taken into account)
895 // else : Data single distributions are normalized to give single particle efficiency of MC
4665ed86 896 TFile *fEfficiencyMatrix = NULL;
9ff3a85f 897 if(correctWithEfficiency || correctWithMixed){
b5b9a4f9 898 if(correctWithAcceptanceOnly) fEfficiencyMatrix = TFile::Open("$ALICE_ROOT/PWGCF/EBYE/macros/accOnlyFromConvolutionAllCent.root");
899 else fEfficiencyMatrix = TFile::Open("$ALICE_ROOT/PWGCF/EBYE/macros/effFromConvolutionAllCent.root");
4665ed86 900 if(!fEfficiencyMatrix){
901 AliError("Efficiency histogram file not found");
902 return NULL;
903 }
904 }
905
e879f836 906 // do correction with the efficiency calculated from MC + Data (for single particles and two particle correlations)
907 // - single particle efficiencies from MC (AliAnalysiTaskEfficiency)
908 // - two particle efficiencies from convolution of data single particle distributions
909 // (normalized to single particle efficiency)
47e040b5 910 if(iAnalysisType == kEta && etaWindow > 0 && correctWithEfficiency && !correctWithMixed){
b840442a 911
b5b9a4f9 912 TH1F* hEffP = NULL;
913 TH1F* hEffN = NULL;
4665ed86 914 TH1F* hEffPP = (TH1F*)fEfficiencyMatrix->Get(Form("etaEffPP_Cent%.0f-%.0f_Data",centrMin,centrMax));
915 TH1F* hEffNN = (TH1F*)fEfficiencyMatrix->Get(Form("etaEffNN_Cent%.0f-%.0f_Data",centrMin,centrMax));
916 TH1F* hEffPN = (TH1F*)fEfficiencyMatrix->Get(Form("etaEffPN_Cent%.0f-%.0f_Data",centrMin,centrMax));
b5b9a4f9 917
918 // take the data distributions
919 if(correctWithAcceptanceOnly){
920 hEffP = (TH1F*)fEfficiencyMatrix->Get(Form("etaEffP_Cent%.0f-%.0f_Data",centrMin,centrMax));
921 hEffN = (TH1F*)fEfficiencyMatrix->Get(Form("etaEffN_Cent%.0f-%.0f_Data",centrMin,centrMax));
922 }
923 // take the MC distributions
924 else{
925 hEffP = (TH1F*)fEfficiencyMatrix->Get(Form("etaEffP_Cent%.0f-%.0f_MC",centrMin,centrMax));
926 hEffN = (TH1F*)fEfficiencyMatrix->Get(Form("etaEffN_Cent%.0f-%.0f_MC",centrMin,centrMax));
927 }
928
e879f836 929 if( !hEffP || !hEffN || !hEffPP || !hEffNN || !hEffPN){
4665ed86 930 AliError(Form("Efficiency (eta) histograms not found: etaEffPP_Cent%.0f-%.0f_Data",centrMin,centrMax));
931 return NULL;
932 }
e879f836 933
934 for(Int_t iBin = 0; iBin < hEffP->GetNbinsX(); iBin++){
935 hTemp5->SetBinError(iBin+1,hTemp5->GetBinError(iBin+1)/hEffN->GetBinContent(hEffN->FindBin(hTemp5->GetBinCenter(iBin+1))));
936 hTemp5->SetBinContent(iBin+1,hTemp5->GetBinContent(iBin+1)/hEffN->GetBinContent(hEffN->FindBin(hTemp5->GetBinCenter(iBin+1))));
937
938 hTemp6->SetBinError(iBin+1,hTemp6->GetBinError(iBin+1)/hEffP->GetBinContent(hEffP->FindBin(hTemp6->GetBinCenter(iBin+1))));
939 hTemp6->SetBinContent(iBin+1,hTemp6->GetBinContent(iBin+1)/hEffP->GetBinContent(hEffP->FindBin(hTemp6->GetBinCenter(iBin+1))));
940 }
4665ed86 941
b840442a 942 for(Int_t iBin = 0; iBin < gHistBalanceFunctionHistogram->GetNbinsX(); iBin++){
1c8a00af 943
1c8a00af 944 hTemp1->SetBinError(iBin+1,hTemp1->GetBinError(iBin+1)/hEffPN->GetBinContent(hEffPN->FindBin(hTemp1->GetBinCenter(iBin+1))));
945 hTemp1->SetBinContent(iBin+1,hTemp1->GetBinContent(iBin+1)/hEffPN->GetBinContent(hEffPN->FindBin(hTemp1->GetBinCenter(iBin+1))));
946 hTemp2->SetBinError(iBin+1,hTemp2->GetBinError(iBin+1)/hEffPN->GetBinContent(hEffPN->FindBin(hTemp2->GetBinCenter(iBin+1))));
947 hTemp2->SetBinContent(iBin+1,hTemp2->GetBinContent(iBin+1)/hEffPN->GetBinContent(hEffPN->FindBin(hTemp2->GetBinCenter(iBin+1))));
948 hTemp3->SetBinError(iBin+1,hTemp3->GetBinError(iBin+1)/hEffNN->GetBinContent(hEffNN->FindBin(hTemp3->GetBinCenter(iBin+1))));
949 hTemp3->SetBinContent(iBin+1,hTemp3->GetBinContent(iBin+1)/hEffNN->GetBinContent(hEffNN->FindBin(hTemp3->GetBinCenter(iBin+1))));
950 hTemp4->SetBinError(iBin+1,hTemp4->GetBinError(iBin+1)/hEffPP->GetBinContent(hEffPP->FindBin(hTemp4->GetBinCenter(iBin+1))));
951 hTemp4->SetBinContent(iBin+1,hTemp4->GetBinContent(iBin+1)/hEffPP->GetBinContent(hEffPP->FindBin(hTemp4->GetBinCenter(iBin+1))));
952
b840442a 953 }
1c8a00af 954
955 // TF1 *fPP = new TF1("fPP","pol1",0,1.6); // phase space factor + efficiency for ++
956 // fPP->SetParameters(0.736466,-0.461529);
957 // TF1 *fNN = new TF1("fNN","pol1",0,1.6); // phase space factor + efficiency for --
958 // fNN->SetParameters(0.718616,-0.450473);
959 // TF1 *fPN = new TF1("fPN","pol1",0,1.6); // phase space factor + efficiency for +-
960 // fPN->SetParameters(0.727507,-0.455981);
961
962 // for(Int_t iBin = 0; iBin < gHistBalanceFunctionHistogram->GetNbinsX(); iBin++){
963 // hTemp1->SetBinContent(iBin+1,hTemp1->GetBinContent(iBin+1)/fPN->Eval(hTemp1->GetBinCenter(iBin+1)));
964 // hTemp1->SetBinError(iBin+1,hTemp1->GetBinError(iBin+1)/fPN->Eval(hTemp1->GetBinCenter(iBin+1)));
965 // hTemp2->SetBinContent(iBin+1,hTemp2->GetBinContent(iBin+1)/fPN->Eval(hTemp1->GetBinCenter(iBin+1)));
966 // hTemp2->SetBinError(iBin+1,hTemp2->GetBinError(iBin+1)/fPN->Eval(hTemp1->GetBinCenter(iBin+1)));
967 // hTemp3->SetBinContent(iBin+1,hTemp3->GetBinContent(iBin+1)/fNN->Eval(hTemp1->GetBinCenter(iBin+1)));
968 // hTemp3->SetBinError(iBin+1,hTemp3->GetBinError(iBin+1)/fNN->Eval(hTemp1->GetBinCenter(iBin+1)));
969 // hTemp4->SetBinContent(iBin+1,hTemp4->GetBinContent(iBin+1)/fPP->Eval(hTemp1->GetBinCenter(iBin+1)));
970 // hTemp4->SetBinError(iBin+1,hTemp4->GetBinError(iBin+1)/fPP->Eval(hTemp1->GetBinCenter(iBin+1)));
971 // }
b840442a 972 }
33a86282 973
e879f836 974 // do correction with the efficiency calculated from MC + Data (for single particles and two particle correlations)
975 // - single particle efficiencies from MC (AliAnalysiTaskEfficiency)
976 // - two particle efficiencies from convolution of data single particle distributions
977 // (normalized to single particle efficiency)
47e040b5 978 if(iAnalysisType == kPhi && correctWithEfficiency && !correctWithMixed){
346fa574 979
b5b9a4f9 980 TH1F* hEffPhiP = NULL;
981 TH1F* hEffPhiN = NULL;
4665ed86 982 TH1F* hEffPhiPP = (TH1F*)fEfficiencyMatrix->Get(Form("phiEffPP_Cent%.0f-%.0f_Data",centrMin,centrMax));
983 TH1F* hEffPhiNN = (TH1F*)fEfficiencyMatrix->Get(Form("phiEffNN_Cent%.0f-%.0f_Data",centrMin,centrMax));
984 TH1F* hEffPhiPN = (TH1F*)fEfficiencyMatrix->Get(Form("phiEffPN_Cent%.0f-%.0f_Data",centrMin,centrMax));
b5b9a4f9 985
986 // take the data distributions
987 if(correctWithAcceptanceOnly){
988 hEffPhiP = (TH1F*)fEfficiencyMatrix->Get(Form("phiEffP_Cent%.0f-%.0f_Data",centrMin,centrMax));
989 hEffPhiN = (TH1F*)fEfficiencyMatrix->Get(Form("phiEffN_Cent%.0f-%.0f_Data",centrMin,centrMax));
990 }
991 // take the MC distributions
992 else{
993 hEffPhiP = (TH1F*)fEfficiencyMatrix->Get(Form("phiEffP_Cent%.0f-%.0f_MC",centrMin,centrMax));
994 hEffPhiN = (TH1F*)fEfficiencyMatrix->Get(Form("phiEffN_Cent%.0f-%.0f_MC",centrMin,centrMax));
995 }
996
e879f836 997 if( !hEffPhiP || !hEffPhiN || !hEffPhiPP || !hEffPhiNN || !hEffPhiPN){
4665ed86 998 AliError("Efficiency (phi) histograms not found");
999 return NULL;
1000 }
1001
e879f836 1002 for(Int_t iBin = 0; iBin < hEffPhiP->GetNbinsX(); iBin++){
1003 hTemp5->SetBinError(iBin+1,hTemp5->GetBinError(iBin+1)/hEffPhiN->GetBinContent(hEffPhiN->FindBin(hTemp5->GetBinCenter(iBin+1))));
1004 hTemp5->SetBinContent(iBin+1,hTemp5->GetBinContent(iBin+1)/hEffPhiN->GetBinContent(hEffPhiN->FindBin(hTemp5->GetBinCenter(iBin+1))));
1005
1006 hTemp6->SetBinError(iBin+1,hTemp6->GetBinError(iBin+1)/hEffPhiP->GetBinContent(hEffPhiP->FindBin(hTemp6->GetBinCenter(iBin+1))));
1007 hTemp6->SetBinContent(iBin+1,hTemp6->GetBinContent(iBin+1)/hEffPhiP->GetBinContent(hEffPhiP->FindBin(hTemp6->GetBinCenter(iBin+1))));
1008 }
1009
346fa574 1010 for(Int_t iBin = 0; iBin < gHistBalanceFunctionHistogram->GetNbinsX(); iBin++){
1011
1012 hTemp1->SetBinError(iBin+1,hTemp1->GetBinError(iBin+1)/hEffPhiPN->GetBinContent(hEffPhiPN->FindBin(hTemp1->GetBinCenter(iBin+1))));
1013 hTemp1->SetBinContent(iBin+1,hTemp1->GetBinContent(iBin+1)/hEffPhiPN->GetBinContent(hEffPhiPN->FindBin(hTemp1->GetBinCenter(iBin+1))));
1014 hTemp2->SetBinError(iBin+1,hTemp2->GetBinError(iBin+1)/hEffPhiPN->GetBinContent(hEffPhiPN->FindBin(hTemp2->GetBinCenter(iBin+1))));
1015 hTemp2->SetBinContent(iBin+1,hTemp2->GetBinContent(iBin+1)/hEffPhiPN->GetBinContent(hEffPhiPN->FindBin(hTemp2->GetBinCenter(iBin+1))));
1016 hTemp3->SetBinError(iBin+1,hTemp3->GetBinError(iBin+1)/hEffPhiNN->GetBinContent(hEffPhiNN->FindBin(hTemp3->GetBinCenter(iBin+1))));
1017 hTemp3->SetBinContent(iBin+1,hTemp3->GetBinContent(iBin+1)/hEffPhiNN->GetBinContent(hEffPhiNN->FindBin(hTemp3->GetBinCenter(iBin+1))));
1018 hTemp4->SetBinError(iBin+1,hTemp4->GetBinError(iBin+1)/hEffPhiPP->GetBinContent(hEffPhiPP->FindBin(hTemp4->GetBinCenter(iBin+1))));
1019 hTemp4->SetBinContent(iBin+1,hTemp4->GetBinContent(iBin+1)/hEffPhiPP->GetBinContent(hEffPhiPP->FindBin(hTemp4->GetBinCenter(iBin+1))));
1020
1021 }
346fa574 1022 }
1023
47e040b5 1024 // do the correction with the event mixing directly!
1025 if(correctWithMixed){
9ff3a85f 1026
1027 // take the MC distributions (for average efficiency)
1028 TH1F* hEffP = (TH1F*)fEfficiencyMatrix->Get(Form("etaEffP_Cent%.0f-%.0f_MC",centrMin,centrMax));
1029 TH1F* hEffN = (TH1F*)fEfficiencyMatrix->Get(Form("etaEffN_Cent%.0f-%.0f_MC",centrMin,centrMax));
47e040b5 1030
9ff3a85f 1031 TH1F* hEffPP = (TH1F*)fEfficiencyMatrix->Get(Form("phiEffPP_Cent%.0f-%.0f_Data",centrMin,centrMax));
1032 TH1F* hEffNN = (TH1F*)fEfficiencyMatrix->Get(Form("phiEffNN_Cent%.0f-%.0f_Data",centrMin,centrMax));
1033 TH1F* hEffPN = (TH1F*)fEfficiencyMatrix->Get(Form("phiEffPN_Cent%.0f-%.0f_Data",centrMin,centrMax));
47e040b5 1034
9ff3a85f 1035 if( !hEffP || !hEffN){
1036 AliError(Form("Efficiency (eta) histograms not found: etaEffPP_Cent%.0f-%.0f_Data",centrMin,centrMax));
1037 return NULL;
1038 }
47e040b5 1039
9ff3a85f 1040 if(hMixed[0] && hMixed[1] && hMixed[2] && hMixed[3]){
1041
47e040b5 1042 // scale to average efficiency in the pt region (0.3-1.5) and |eta| < 0.8
1043 // by multiplying the average single particle efficiencies from HIJING
9ff3a85f 1044 // here we assume that the distributions are 1:
1045 // - in the integral for dphi (for averaging over sector structure)
1046 // - in the maximum for deta
1047 Double_t normPMC = (Double_t)hEffP->Integral()/(Double_t)hEffP->GetNbinsX();
1048 Double_t normNMC = (Double_t)hEffN->Integral()/(Double_t)hEffN->GetNbinsX();
1049 Double_t normPPMC = (Double_t)hEffPP->Integral()/(Double_t)hEffPP->GetNbinsX();
1050 Double_t normNNMC = (Double_t)hEffNN->Integral()/(Double_t)hEffNN->GetNbinsX();
1051 Double_t normPNMC = (Double_t)hEffPN->Integral()/(Double_t)hEffPN->GetNbinsX();
1052
1053 hMixed[0]->Scale(normPNMC);
1054 hMixed[1]->Scale(normPNMC);
1055 hMixed[2]->Scale(normNNMC);
1056 hMixed[3]->Scale(normPPMC);
47e040b5 1057
1058 // divide by event mixing
1059 hTemp1->Divide(hMixed[0]);
9ff3a85f 1060 hTemp2->Divide(hMixed[1]);
47e040b5 1061 hTemp3->Divide(hMixed[2]);
1062 hTemp4->Divide(hMixed[3]);
1063
1064 // scale also single histograms with average efficiency
1065 hTemp5->Scale(1./normNMC);
1066 hTemp6->Scale(1./normPMC);
1067
1068 }
1069 else{
1070 AliError("Correction with EventMixing requested, but not all Histograms there!");
1071 return NULL;
1072 }
1073 }
346fa574 1074
1075
33a86282 1076 if((hTemp1)&&(hTemp2)&&(hTemp3)&&(hTemp4)) {
1077 hTemp1->Sumw2();
1078 hTemp2->Sumw2();
1079 hTemp3->Sumw2();
1080 hTemp4->Sumw2();
1081 hTemp1->Add(hTemp3,-2.);
e879f836 1082 hTemp1->Scale(1./hTemp5->Integral());
33a86282 1083 hTemp2->Add(hTemp4,-2.);
e879f836 1084 hTemp2->Scale(1./hTemp6->Integral());
33a86282 1085 gHistBalanceFunctionHistogram->Add(hTemp1,hTemp2,1.,1.);
1086 gHistBalanceFunctionHistogram->Scale(0.5/fP2Step[iAnalysisType]);
1087 }
b7ce3d3f 1088
1089 // do the acceptance correction (only for Eta and etaWindow > 0)
47e040b5 1090 if(iAnalysisType == kEta && etaWindow > 0 && !correctWithEfficiency && !correctWithMixed){
b7ce3d3f 1091 for(Int_t iBin = 0; iBin < gHistBalanceFunctionHistogram->GetNbinsX(); iBin++){
1092
1093 Double_t notCorrected = gHistBalanceFunctionHistogram->GetBinContent(iBin+1);
1094 Double_t corrected = notCorrected / (1 - (gHistBalanceFunctionHistogram->GetBinCenter(iBin+1))/ etaWindow );
1095 gHistBalanceFunctionHistogram->SetBinContent(iBin+1, corrected);
1c8a00af 1096 gHistBalanceFunctionHistogram->SetBinError(iBin+1,corrected/notCorrected*gHistBalanceFunctionHistogram->GetBinError(iBin+1));
b7ce3d3f 1097
1098 }
1099 }
6432ac6a 1100
4665ed86 1101 if(fEfficiencyMatrix) fEfficiencyMatrix->Close();
1102
6432ac6a 1103 PrintResults(iAnalysisType,gHistBalanceFunctionHistogram);
898d5b28 1104
6432ac6a 1105 return gHistBalanceFunctionHistogram;
1106}