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