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a75aacd6 | 1 | /************************************************************************** |
2 | * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * | |
3 | * * | |
4 | * Author: The ALICE Off-line Project. * | |
5 | * Contributors are mentioned in the code where appropriate. * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
8 | * documentation strictly for non-commercial purposes is hereby granted * | |
9 | * without fee, provided that the above copyright notice appears in all * | |
10 | * copies and that both the copyright notice and this permission notice * | |
11 | * appear in the supporting documentation. The authors make no claims * | |
12 | * about the suitability of this software for any purpose. It is * | |
13 | * provided "as is" without express or implied warranty. * | |
14 | **************************************************************************/ | |
15 | ||
16 | /* $Id: AliUEHistograms.cxx 20164 2007-08-14 15:31:50Z morsch $ */ | |
17 | ||
18 | // | |
19 | // | |
20 | // encapsulates several AliUEHist objects for a full UE analysis plus additional control histograms | |
21 | // | |
22 | // | |
23 | // Author: Jan Fiete Grosse-Oetringhaus, Sara Vallero | |
24 | ||
25 | #include "AliUEHistograms.h" | |
26 | ||
27 | #include "AliCFContainer.h" | |
28 | #include "AliVParticle.h" | |
2a910c25 | 29 | #include "AliAODTrack.h" |
a75aacd6 | 30 | |
31 | #include "TList.h" | |
32 | #include "TH2F.h" | |
33 | #include "TH1F.h" | |
34 | #include "TH3F.h" | |
35 | #include "TMath.h" | |
b0d56b29 | 36 | #include "TLorentzVector.h" |
a75aacd6 | 37 | |
38 | ClassImp(AliUEHistograms) | |
39 | ||
bf58cbde | 40 | const Int_t AliUEHistograms::fgkUEHists = 3; |
41 | ||
e0331fd9 | 42 | AliUEHistograms::AliUEHistograms(const char* name, const char* histograms) : |
43 | TNamed(name, name), | |
a75aacd6 | 44 | fNumberDensitypT(0), |
45 | fSumpT(0), | |
46 | fNumberDensityPhi(0), | |
47 | fCorrelationpT(0), | |
48 | fCorrelationEta(0), | |
49 | fCorrelationPhi(0), | |
50 | fCorrelationR(0), | |
51 | fCorrelationLeading2Phi(0), | |
52 | fCorrelationMultiplicity(0), | |
5e053cad | 53 | fYields(0), |
a75aacd6 | 54 | fEventCount(0), |
55 | fEventCountDifferential(0), | |
bf58cbde | 56 | fVertexContributors(0), |
c7245604 | 57 | fCentralityDistribution(0), |
447d47d8 | 58 | fCentralityCorrelation(0), |
2a910c25 | 59 | fITSClusterMap(0), |
85bfac17 | 60 | fSelectCharge(0), |
d38fa455 | 61 | fTriggerRestrictEta(-1), |
00b6f3c6 | 62 | fEtaOrdering(kFALSE), |
b0d56b29 | 63 | fCutConversions(kFALSE), |
64 | fCutResonances(kFALSE), | |
9da2f080 | 65 | fOnlyOneEtaSide(0), |
85bfac17 | 66 | fRunNumber(0) |
a75aacd6 | 67 | { |
68 | // Constructor | |
bf58cbde | 69 | // |
70 | // the string histograms defines which histograms are created: | |
71 | // 1 = NumberDensitypT | |
72 | // 2 = SumpT | |
73 | // 3 = NumberDensityPhi | |
74 | // 4 = NumberDensityPhiCentrality (other multiplicity for Pb) | |
75 | ||
0ffdaf17 | 76 | AliLog::SetClassDebugLevel("AliCFContainer", -1); |
77 | AliLog::SetClassDebugLevel("AliCFGridSparse", -3); | |
78 | ||
670e1d49 | 79 | fTwoTrackDistancePt[0] = 0; |
80 | fTwoTrackDistancePt[1] = 0; | |
1bba939a | 81 | |
bf58cbde | 82 | TString histogramsStr(histograms); |
83 | ||
84 | if (histogramsStr.Contains("1")) | |
85 | fNumberDensitypT = new AliUEHist("NumberDensitypT"); | |
86 | if (histogramsStr.Contains("2")) | |
87 | fSumpT = new AliUEHist("SumpT"); | |
a75aacd6 | 88 | |
bf58cbde | 89 | if (histogramsStr.Contains("3")) |
90 | fNumberDensityPhi = new AliUEHist("NumberDensityPhi"); | |
0ffdaf17 | 91 | else if (histogramsStr.Contains("4R")) |
bf58cbde | 92 | fNumberDensityPhi = new AliUEHist("NumberDensityPhiCentrality"); |
0ffdaf17 | 93 | else if (histogramsStr.Contains("4")) |
94 | fNumberDensityPhi = new AliUEHist("NumberDensityPhiCentralityTTR"); | |
95 | else if (histogramsStr.Contains("5R")) | |
44af28f9 | 96 | fNumberDensityPhi = new AliUEHist("NumberDensityPhiCentralityVtx"); |
0ffdaf17 | 97 | else if (histogramsStr.Contains("5")) |
98 | fNumberDensityPhi = new AliUEHist("NumberDensityPhiCentralityVtxTTR"); | |
a75aacd6 | 99 | |
100 | // do not add this hists to the directory | |
101 | Bool_t oldStatus = TH1::AddDirectoryStatus(); | |
102 | TH1::AddDirectory(kFALSE); | |
103 | ||
44af28f9 | 104 | if (!histogramsStr.Contains("4") && !histogramsStr.Contains("5")) |
c7245604 | 105 | { |
106 | fCorrelationpT = new TH2F("fCorrelationpT", ";p_{T,lead} (MC);p_{T,lead} (RECO)", 200, 0, 50, 200, 0, 50); | |
2a910c25 | 107 | fCorrelationEta = new TH2F("fCorrelationEta", ";#eta_{lead} (MC);#eta_{T,lead} (RECO)", 200, -1, 1, 200, -1, 1); |
a4a4d54e | 108 | fCorrelationPhi = new TH2F("fCorrelationPhi", ";#varphi_{lead} (MC);#varphi_{T,lead} (RECO)", 200, 0, TMath::TwoPi(), 200, 0, TMath::TwoPi()); |
c7245604 | 109 | } |
110 | else | |
111 | { | |
2a910c25 | 112 | fCorrelationpT = new TH2F("fCorrelationpT", ";Centrality;p_{T} (RECO)", 100, 0, 100.001, 200, 0, 50); |
9da2f080 | 113 | fCorrelationEta = new TH2F("fCorrelationEta", ";Centrality;#eta (RECO)", 100, 0, 100.001, 200, -5, 5); |
a4a4d54e | 114 | fCorrelationPhi = new TH2F("fCorrelationPhi", ";Centrality;#varphi (RECO)", 100, 0, 100.001, 200, 0, TMath::TwoPi()); |
c7245604 | 115 | } |
116 | ||
a75aacd6 | 117 | fCorrelationR = new TH2F("fCorrelationR", ";R;p_{T,lead} (MC)", 200, 0, 2, 200, 0, 50); |
a4a4d54e | 118 | fCorrelationLeading2Phi = new TH2F("fCorrelationLeading2Phi", ";#Delta #varphi;p_{T,lead} (MC)", 200, -TMath::Pi(), TMath::Pi(), 200, 0, 50); |
a75aacd6 | 119 | fCorrelationMultiplicity = new TH2F("fCorrelationMultiplicity", ";MC tracks;Reco tracks", 100, -0.5, 99.5, 100, -0.5, 99.5); |
5e053cad | 120 | fYields = new TH3F("fYields", ";centrality;pT;eta", 100, 0, 100, 40, 0, 20, 20, -1, 1); |
121 | ||
44af28f9 | 122 | if (!histogramsStr.Contains("4") && !histogramsStr.Contains("5")) |
2a910c25 | 123 | { |
124 | fEventCount = new TH2F("fEventCount", ";step;event type;count", AliUEHist::fgkCFSteps+2, -2.5, -0.5 + AliUEHist::fgkCFSteps, 3, -0.5, 2.5); | |
125 | fEventCount->GetYaxis()->SetBinLabel(1, "ND"); | |
126 | fEventCount->GetYaxis()->SetBinLabel(2, "SD"); | |
127 | fEventCount->GetYaxis()->SetBinLabel(3, "DD"); | |
128 | } | |
129 | else | |
130 | { | |
131 | fEventCount = new TH2F("fEventCount", ";step;centrality;count", AliUEHist::fgkCFSteps+2, -2.5, -0.5 + AliUEHist::fgkCFSteps, fNumberDensityPhi->GetEventHist()->GetNBins(1), fNumberDensityPhi->GetEventHist()->GetAxis(1, 0)->GetXbins()->GetArray()); | |
132 | } | |
a75aacd6 | 133 | |
134 | fEventCountDifferential = new TH3F("fEventCountDifferential", ";p_{T,lead};step;event type", 100, 0, 50, AliUEHist::fgkCFSteps, -0.5, -0.5 + AliUEHist::fgkCFSteps, 3, -0.5, 2.5); | |
135 | fEventCountDifferential->GetZaxis()->SetBinLabel(1, "ND"); | |
136 | fEventCountDifferential->GetZaxis()->SetBinLabel(2, "SD"); | |
137 | fEventCountDifferential->GetZaxis()->SetBinLabel(3, "DD"); | |
138 | ||
139 | fVertexContributors = new TH1F("fVertexContributors", ";contributors;count", 100, -0.5, 99.5); | |
140 | ||
664d6288 | 141 | if (fNumberDensityPhi) |
447d47d8 | 142 | { |
143 | fCentralityDistribution = new TH1F("fCentralityDistribution", ";centrality;count", fNumberDensityPhi->GetEventHist()->GetNBins(1), fNumberDensityPhi->GetEventHist()->GetAxis(1, 0)->GetXbins()->GetArray()); | |
5e053cad | 144 | fCentralityCorrelation = new TH2F("fCentralityCorrelation", ";centrality;multiplicity", 101, 0, 101, 200, 0, 4000); |
447d47d8 | 145 | } |
bf58cbde | 146 | |
2a910c25 | 147 | fITSClusterMap = new TH3F("fITSClusterMap", "; its cluster map; centrality; pT", 256, -0.5, 255.5, 20, 0, 100.001, 100, 0, 20); |
148 | ||
a75aacd6 | 149 | TH1::AddDirectory(oldStatus); |
150 | } | |
151 | ||
d1c75d06 | 152 | //_____________________________________________________________________________ |
153 | AliUEHistograms::AliUEHistograms(const AliUEHistograms &c) : | |
e0331fd9 | 154 | TNamed(fName, fTitle), |
d1c75d06 | 155 | fNumberDensitypT(0), |
156 | fSumpT(0), | |
157 | fNumberDensityPhi(0), | |
158 | fCorrelationpT(0), | |
159 | fCorrelationEta(0), | |
160 | fCorrelationPhi(0), | |
161 | fCorrelationR(0), | |
162 | fCorrelationLeading2Phi(0), | |
163 | fCorrelationMultiplicity(0), | |
5e053cad | 164 | fYields(0), |
d1c75d06 | 165 | fEventCount(0), |
166 | fEventCountDifferential(0), | |
bf58cbde | 167 | fVertexContributors(0), |
c7245604 | 168 | fCentralityDistribution(0), |
447d47d8 | 169 | fCentralityCorrelation(0), |
2a910c25 | 170 | fITSClusterMap(0), |
85bfac17 | 171 | fSelectCharge(0), |
d38fa455 | 172 | fTriggerRestrictEta(-1), |
00b6f3c6 | 173 | fEtaOrdering(kFALSE), |
b0d56b29 | 174 | fCutConversions(kFALSE), |
175 | fCutResonances(kFALSE), | |
9da2f080 | 176 | fOnlyOneEtaSide(0), |
85bfac17 | 177 | fRunNumber(0) |
d1c75d06 | 178 | { |
179 | // | |
180 | // AliUEHistograms copy constructor | |
181 | // | |
182 | ||
670e1d49 | 183 | fTwoTrackDistancePt[0] = 0; |
184 | fTwoTrackDistancePt[1] = 0; | |
1bba939a | 185 | |
d1c75d06 | 186 | ((AliUEHistograms &) c).Copy(*this); |
187 | } | |
188 | ||
a75aacd6 | 189 | //____________________________________________________________________ |
190 | AliUEHistograms::~AliUEHistograms() | |
191 | { | |
192 | // Destructor | |
193 | ||
b0d56b29 | 194 | DeleteContainers(); |
195 | } | |
196 | ||
197 | void AliUEHistograms::DeleteContainers() | |
198 | { | |
a75aacd6 | 199 | if (fNumberDensitypT) |
200 | { | |
201 | delete fNumberDensitypT; | |
202 | fNumberDensitypT = 0; | |
203 | } | |
204 | ||
205 | if (fSumpT) | |
206 | { | |
207 | delete fSumpT; | |
208 | fSumpT = 0; | |
209 | } | |
210 | ||
211 | if (fNumberDensityPhi) | |
212 | { | |
213 | delete fNumberDensityPhi; | |
214 | fNumberDensityPhi = 0; | |
215 | } | |
216 | ||
217 | if (fCorrelationpT) | |
218 | { | |
219 | delete fCorrelationpT; | |
220 | fCorrelationpT = 0; | |
221 | } | |
222 | ||
223 | if (fCorrelationEta) | |
224 | { | |
225 | delete fCorrelationEta; | |
226 | fCorrelationEta = 0; | |
227 | } | |
228 | ||
229 | if (fCorrelationPhi) | |
230 | { | |
231 | delete fCorrelationPhi; | |
232 | fCorrelationPhi = 0; | |
233 | } | |
234 | ||
235 | if (fCorrelationR) | |
236 | { | |
237 | delete fCorrelationR; | |
238 | fCorrelationR = 0; | |
239 | } | |
240 | ||
241 | if (fCorrelationLeading2Phi) | |
242 | { | |
243 | delete fCorrelationLeading2Phi; | |
244 | fCorrelationLeading2Phi = 0; | |
245 | } | |
246 | ||
247 | if (fCorrelationMultiplicity) | |
248 | { | |
249 | delete fCorrelationMultiplicity; | |
250 | fCorrelationMultiplicity = 0; | |
251 | } | |
252 | ||
5e053cad | 253 | if (fYields) |
254 | { | |
255 | delete fYields; | |
256 | fYields = 0; | |
257 | } | |
258 | ||
a75aacd6 | 259 | if (fEventCount) |
260 | { | |
261 | delete fEventCount; | |
262 | fEventCount = 0; | |
263 | } | |
264 | ||
265 | if (fEventCountDifferential) | |
266 | { | |
267 | delete fEventCountDifferential; | |
268 | fEventCountDifferential = 0; | |
269 | } | |
270 | ||
271 | if (fVertexContributors) | |
272 | { | |
273 | delete fVertexContributors; | |
274 | fVertexContributors = 0; | |
275 | } | |
bf58cbde | 276 | |
277 | if (fCentralityDistribution) | |
278 | { | |
279 | delete fCentralityDistribution; | |
280 | fCentralityDistribution = 0; | |
281 | } | |
2a910c25 | 282 | |
447d47d8 | 283 | if (fCentralityCorrelation) |
284 | { | |
285 | delete fCentralityCorrelation; | |
286 | fCentralityCorrelation = 0; | |
287 | } | |
288 | ||
2a910c25 | 289 | if (fITSClusterMap) |
290 | { | |
291 | delete fITSClusterMap; | |
292 | fITSClusterMap = 0; | |
293 | } | |
1bba939a | 294 | |
295 | for (Int_t i=0; i<2; i++) | |
670e1d49 | 296 | if (fTwoTrackDistancePt[i]) |
1bba939a | 297 | { |
670e1d49 | 298 | delete fTwoTrackDistancePt[i]; |
299 | fTwoTrackDistancePt[i] = 0; | |
1bba939a | 300 | } |
a75aacd6 | 301 | } |
302 | ||
ada1a03f | 303 | AliUEHist* AliUEHistograms::GetUEHist(Int_t id) |
304 | { | |
305 | // returns AliUEHist object, useful for loops | |
306 | ||
307 | switch (id) | |
308 | { | |
309 | case 0: return fNumberDensitypT; break; | |
310 | case 1: return fSumpT; break; | |
311 | case 2: return fNumberDensityPhi; break; | |
312 | } | |
313 | ||
314 | return 0; | |
315 | } | |
316 | ||
a75aacd6 | 317 | //____________________________________________________________________ |
318 | Int_t AliUEHistograms::CountParticles(TList* list, Float_t ptMin) | |
319 | { | |
320 | // counts the number of particles in the list with a pT above ptMin | |
321 | // TODO eta cut needed here? | |
322 | ||
323 | Int_t count = 0; | |
324 | for (Int_t j=0; j<list->GetEntries(); j++) | |
325 | if (((AliVParticle*) list->At(j))->Pt() > ptMin) | |
326 | count++; | |
327 | ||
328 | return count; | |
329 | } | |
330 | ||
331 | //____________________________________________________________________ | |
85bfac17 | 332 | void AliUEHistograms::Fill(Int_t eventType, Float_t zVtx, AliUEHist::CFStep step, AliVParticle* leading, TList* toward, TList* away, TList* min, TList* max) |
a75aacd6 | 333 | { |
334 | // fills the UE event histograms | |
335 | // | |
336 | // this function needs the leading (track or jet or ...) and four lists of AliVParticles which contain the particles/tracks to be filled in the four regions | |
337 | ||
338 | // if leading is not set, just fill event statistics | |
339 | if (leading) | |
340 | { | |
341 | Int_t multiplicity = 0; | |
342 | ||
343 | // TODO configurable? | |
344 | Float_t ptMin = 0.15; | |
345 | if (leading->Pt() > ptMin) | |
346 | multiplicity++; | |
347 | ||
348 | multiplicity += CountParticles(toward, ptMin); | |
349 | multiplicity += CountParticles(away, ptMin); | |
350 | multiplicity += CountParticles(min, ptMin); | |
351 | multiplicity += CountParticles(max, ptMin); | |
352 | ||
85bfac17 | 353 | FillRegion(AliUEHist::kToward, zVtx, step, leading, toward, multiplicity); |
354 | FillRegion(AliUEHist::kAway, zVtx, step, leading, away, multiplicity); | |
355 | FillRegion(AliUEHist::kMin, zVtx, step, leading, min, multiplicity); | |
356 | FillRegion(AliUEHist::kMax, zVtx, step, leading, max, multiplicity); | |
b1831bcb | 357 | |
85bfac17 | 358 | Double_t vars[3]; |
a75aacd6 | 359 | vars[0] = leading->Pt(); |
360 | vars[1] = multiplicity; | |
85bfac17 | 361 | vars[2] = zVtx; |
bf58cbde | 362 | for (Int_t i=0; i<fgkUEHists; i++) |
363 | if (GetUEHist(i)) | |
364 | GetUEHist(i)->GetEventHist()->Fill(vars, step); | |
a75aacd6 | 365 | |
366 | fEventCountDifferential->Fill(leading->Pt(), step, eventType); | |
367 | } | |
368 | ||
369 | FillEvent(eventType, step); | |
370 | } | |
371 | ||
372 | //____________________________________________________________________ | |
85bfac17 | 373 | void AliUEHistograms::FillRegion(AliUEHist::Region region, Float_t zVtx, AliUEHist::CFStep step, AliVParticle* leading, TList* list, Int_t multiplicity) |
a75aacd6 | 374 | { |
375 | // loops over AliVParticles in list and fills the given region at the given step | |
376 | // | |
377 | // See also Fill(...) | |
378 | ||
379 | for (Int_t i=0; i<list->GetEntries(); i++) | |
380 | { | |
381 | AliVParticle* particle = (AliVParticle*) list->At(i); | |
382 | ||
85bfac17 | 383 | Double_t vars[6]; |
a75aacd6 | 384 | vars[0] = particle->Eta(); |
385 | vars[1] = particle->Pt(); | |
386 | vars[2] = leading->Pt(); | |
387 | vars[3] = multiplicity; | |
388 | vars[4] = leading->Phi() - particle->Phi(); | |
2ac8dc5c | 389 | if (vars[4] > 1.5 * TMath::Pi()) |
390 | vars[4] -= TMath::TwoPi(); | |
391 | if (vars[4] < -0.5 * TMath::Pi()) | |
392 | vars[4] += TMath::TwoPi(); | |
85bfac17 | 393 | vars[5] = zVtx; |
394 | ||
bf58cbde | 395 | if (fNumberDensitypT) |
396 | fNumberDensitypT->GetTrackHist(region)->Fill(vars, step); | |
397 | ||
398 | if (fSumpT) | |
399 | fSumpT->GetTrackHist(region)->Fill(vars, step, particle->Pt()); | |
a75aacd6 | 400 | |
401 | // fill all in toward region (is anyway as function of delta phi!) | |
bf58cbde | 402 | if (fNumberDensityPhi) |
403 | fNumberDensityPhi->GetTrackHist(AliUEHist::kToward)->Fill(vars, step); | |
a75aacd6 | 404 | } |
405 | } | |
406 | ||
407 | //____________________________________________________________________ | |
408 | void AliUEHistograms::Fill(AliVParticle* leadingMC, AliVParticle* leadingReco) | |
409 | { | |
410 | // fills the correlation histograms | |
411 | ||
412 | if (leadingMC) | |
413 | { | |
414 | fCorrelationpT->Fill(leadingMC->Pt(), leadingReco->Pt()); | |
415 | if (leadingMC->Pt() > 0.5) | |
416 | { | |
417 | fCorrelationEta->Fill(leadingMC->Eta(), leadingReco->Eta()); | |
418 | fCorrelationPhi->Fill(leadingMC->Phi(), leadingReco->Phi()); | |
419 | } | |
420 | ||
421 | Float_t phiDiff = leadingMC->Phi() - leadingReco->Phi(); | |
422 | if (phiDiff > TMath::Pi()) | |
423 | phiDiff -= TMath::TwoPi(); | |
424 | if (phiDiff < -TMath::Pi()) | |
425 | phiDiff += TMath::TwoPi(); | |
426 | ||
427 | Float_t etaDiff = leadingMC->Eta() - leadingReco->Eta(); | |
428 | ||
429 | fCorrelationR->Fill(TMath::Sqrt(phiDiff * phiDiff + etaDiff * etaDiff), leadingMC->Pt()); | |
430 | fCorrelationLeading2Phi->Fill(phiDiff, leadingMC->Pt()); | |
431 | } | |
432 | else | |
433 | { | |
434 | fCorrelationpT->Fill(1.0, leadingReco->Pt()); | |
435 | if (leadingReco->Pt() > 0.5) | |
436 | { | |
437 | fCorrelationEta->Fill(0.0, leadingReco->Eta()); | |
438 | fCorrelationPhi->Fill(0.0, leadingReco->Phi()); | |
439 | } | |
440 | } | |
441 | } | |
bf58cbde | 442 | |
443 | //____________________________________________________________________ | |
d4b3dbfc | 444 | void AliUEHistograms::FillCorrelations(Double_t centrality, Float_t zVtx, AliUEHist::CFStep step, TObjArray* particles, TObjArray* mixed, Float_t weight, Bool_t firstTime, Bool_t twoTrackEfficiencyCut, Float_t bSign, Float_t twoTrackEfficiencyCutValue) |
bf58cbde | 445 | { |
446 | // fills the fNumberDensityPhi histogram | |
447 | // | |
448 | // this function need a list of AliVParticles which contain the particles/tracks to be filled | |
e0331fd9 | 449 | // |
450 | // if mixed is non-0, mixed events are filled, the trigger particle is from particles, the associated from mixed | |
c05ff6be | 451 | // if weight < 0, then the pt of the associated particle is filled as weight |
452 | ||
453 | Bool_t fillpT = kFALSE; | |
454 | if (weight < 0) | |
455 | fillpT = kTRUE; | |
bf58cbde | 456 | |
7fd35fdd | 457 | if (twoTrackEfficiencyCut && !fTwoTrackDistancePt[0]) |
458 | { | |
5e053cad | 459 | // do not add this hists to the directory |
460 | Bool_t oldStatus = TH1::AddDirectoryStatus(); | |
461 | TH1::AddDirectory(kFALSE); | |
462 | ||
7fd35fdd | 463 | fTwoTrackDistancePt[0] = new TH3F("fTwoTrackDistancePt[0]", ";#Delta#eta;#Delta#varphi^{*}_{min};#Delta p_{T}", 100, -0.05, 0.05, 100, -0.05, 0.05, 20, 0, 10); |
464 | fTwoTrackDistancePt[1] = (TH3F*) fTwoTrackDistancePt[0]->Clone("fTwoTrackDistancePt[1]"); | |
5e053cad | 465 | |
466 | TH1::AddDirectory(oldStatus); | |
7fd35fdd | 467 | } |
468 | ||
eed401dc | 469 | // Eta() is extremely time consuming, therefore cache it for the inner loop here: |
470 | TObjArray* input = (mixed) ? mixed : particles; | |
471 | TArrayF eta(input->GetEntriesFast()); | |
472 | for (Int_t i=0; i<input->GetEntriesFast(); i++) | |
473 | eta[i] = ((AliVParticle*) input->At(i))->Eta(); | |
474 | ||
bf58cbde | 475 | // if particles is not set, just fill event statistics |
476 | if (particles) | |
477 | { | |
eed401dc | 478 | Int_t jMax = particles->GetEntriesFast(); |
479 | if (mixed) | |
480 | jMax = mixed->GetEntriesFast(); | |
481 | ||
482 | for (Int_t i=0; i<particles->GetEntriesFast(); i++) | |
bf58cbde | 483 | { |
484 | AliVParticle* triggerParticle = (AliVParticle*) particles->At(i); | |
eed401dc | 485 | |
486 | // some optimization | |
487 | Float_t triggerEta = triggerParticle->Eta(); | |
9da2f080 | 488 | |
489 | if (fTriggerRestrictEta > 0 && TMath::Abs(triggerEta) > fTriggerRestrictEta) | |
490 | continue; | |
491 | ||
492 | if (fOnlyOneEtaSide != 0) | |
493 | { | |
494 | if (fOnlyOneEtaSide * triggerEta < 0) | |
495 | continue; | |
496 | } | |
497 | ||
c7245604 | 498 | if (!mixed) |
499 | { | |
500 | // QA | |
501 | fCorrelationpT->Fill(centrality, triggerParticle->Pt()); | |
eed401dc | 502 | fCorrelationEta->Fill(centrality, triggerEta); |
c7245604 | 503 | fCorrelationPhi->Fill(centrality, triggerParticle->Phi()); |
5e053cad | 504 | fYields->Fill(centrality, triggerParticle->Pt(), triggerEta); |
85bfac17 | 505 | /* if (dynamic_cast<AliAODTrack*>(triggerParticle)) |
506 | fITSClusterMap->Fill(((AliAODTrack*) triggerParticle)->GetITSClusterMap(), centrality, triggerParticle->Pt());*/ | |
c7245604 | 507 | } |
508 | ||
e0331fd9 | 509 | for (Int_t j=0; j<jMax; j++) |
bf58cbde | 510 | { |
e0331fd9 | 511 | if (!mixed && i == j) |
bf58cbde | 512 | continue; |
513 | ||
e0331fd9 | 514 | AliVParticle* particle = 0; |
515 | if (!mixed) | |
516 | particle = (AliVParticle*) particles->At(j); | |
517 | else | |
518 | particle = (AliVParticle*) mixed->At(j); | |
bf58cbde | 519 | |
2a910c25 | 520 | // check if both particles point to the same element (does not occur for mixed events, but if subsets are mixed within the same event for cross-checks) |
521 | if (mixed && triggerParticle == particle) | |
522 | continue; | |
523 | ||
c7245604 | 524 | if (particle->Pt() > triggerParticle->Pt()) |
525 | continue; | |
526 | ||
527 | if (fSelectCharge > 0) | |
528 | { | |
529 | // skip like sign | |
530 | if (fSelectCharge == 1 && particle->Charge() * triggerParticle->Charge() > 0) | |
531 | continue; | |
532 | ||
533 | // skip unlike sign | |
534 | if (fSelectCharge == 2 && particle->Charge() * triggerParticle->Charge() < 0) | |
535 | continue; | |
536 | } | |
537 | ||
00b6f3c6 | 538 | if (fEtaOrdering) |
539 | { | |
540 | if (triggerEta < 0 && eta[j] < triggerEta) | |
541 | continue; | |
542 | if (triggerEta > 0 && eta[j] > triggerEta) | |
543 | continue; | |
544 | } | |
545 | ||
b0d56b29 | 546 | // conversions |
547 | if (fCutConversions && particle->Charge() * triggerParticle->Charge() < 0) | |
548 | { | |
549 | Float_t mass = GetInvMassSquared(triggerParticle->Pt(), triggerEta, triggerParticle->Phi(), particle->Pt(), eta[j], particle->Phi(), 0.510e-3); | |
550 | ||
551 | if (mass < 0.04*0.04) | |
552 | continue; | |
553 | } | |
554 | ||
555 | // K0s, rhos | |
556 | if (fCutResonances && particle->Charge() * triggerParticle->Charge() < 0) | |
557 | { | |
558 | Float_t mass = GetInvMassSquared(triggerParticle->Pt(), triggerEta, triggerParticle->Phi(), particle->Pt(), eta[j], particle->Phi(), 0.1396); | |
559 | ||
560 | if ((mass > 0.49*0.49 && mass < 0.51*0.51) || (mass > 0.765*0.765 && mass < 0.785*0.785)) | |
561 | continue; | |
562 | } | |
04af8d15 | 563 | |
564 | if (twoTrackEfficiencyCut) | |
565 | { | |
7fd35fdd | 566 | // the variables & cuthave been developed by the HBT group |
567 | // see e.g. https://indico.cern.ch/materialDisplay.py?contribId=36&sessionId=6&materialId=slides&confId=142700 | |
568 | ||
04af8d15 | 569 | Float_t phi1 = triggerParticle->Phi(); |
570 | Float_t pt1 = triggerParticle->Pt(); | |
571 | Float_t charge1 = triggerParticle->Charge(); | |
572 | ||
573 | Float_t phi2 = particle->Phi(); | |
574 | Float_t pt2 = particle->Pt(); | |
575 | Float_t charge2 = particle->Charge(); | |
576 | ||
577 | Float_t deta = triggerEta - eta[j]; | |
578 | ||
579 | // optimization | |
d4b3dbfc | 580 | if (TMath::Abs(deta) < twoTrackEfficiencyCutValue * 2.5) |
04af8d15 | 581 | { |
7fd35fdd | 582 | // check first boundaries to see if is worth to loop and find the minimum |
583 | Float_t dphistar1 = GetDPhiStar(phi1, pt1, charge1, phi2, pt2, charge2, 0.8, bSign); | |
584 | Float_t dphistar2 = GetDPhiStar(phi1, pt1, charge1, phi2, pt2, charge2, 2.5, bSign); | |
585 | ||
d4b3dbfc | 586 | const Float_t kLimit = twoTrackEfficiencyCutValue * 3; |
04af8d15 | 587 | |
7fd35fdd | 588 | Float_t dphistarminabs = 1e5; |
589 | Float_t dphistarmin = 1e5; | |
590 | if (TMath::Abs(dphistar1) < kLimit || TMath::Abs(dphistar2) < kLimit || dphistar1 * dphistar2 < 0) | |
04af8d15 | 591 | { |
7fd35fdd | 592 | for (Double_t rad=0.8; rad<2.51; rad+=0.01) |
593 | { | |
594 | Float_t dphistar = GetDPhiStar(phi1, pt1, charge1, phi2, pt2, charge2, rad, bSign); | |
595 | ||
596 | Float_t dphistarabs = TMath::Abs(dphistar); | |
597 | ||
598 | if (dphistarabs < dphistarminabs) | |
599 | { | |
600 | dphistarmin = dphistar; | |
601 | dphistarminabs = dphistarabs; | |
602 | } | |
603 | } | |
604 | ||
605 | fTwoTrackDistancePt[0]->Fill(deta, dphistarmin, TMath::Abs(pt1 - pt2)); | |
04af8d15 | 606 | |
d4b3dbfc | 607 | if (dphistarminabs < twoTrackEfficiencyCutValue && TMath::Abs(deta) < twoTrackEfficiencyCutValue) |
04af8d15 | 608 | { |
7fd35fdd | 609 | // Printf("Removed track pair %d %d with %f %f %f %f %f %f %f %f %f", i, j, deta, dphistarminabs, phi1, pt1, charge1, phi2, pt2, charge2, bSign); |
610 | continue; | |
04af8d15 | 611 | } |
7fd35fdd | 612 | |
613 | fTwoTrackDistancePt[1]->Fill(deta, dphistarmin, TMath::Abs(pt1 - pt2)); | |
04af8d15 | 614 | } |
04af8d15 | 615 | } |
616 | } | |
b0d56b29 | 617 | |
85bfac17 | 618 | Double_t vars[6]; |
eed401dc | 619 | vars[0] = triggerEta - eta[j]; |
bf58cbde | 620 | vars[1] = particle->Pt(); |
621 | vars[2] = triggerParticle->Pt(); | |
622 | vars[3] = centrality; | |
623 | vars[4] = triggerParticle->Phi() - particle->Phi(); | |
624 | if (vars[4] > 1.5 * TMath::Pi()) | |
625 | vars[4] -= TMath::TwoPi(); | |
626 | if (vars[4] < -0.5 * TMath::Pi()) | |
627 | vars[4] += TMath::TwoPi(); | |
85bfac17 | 628 | vars[5] = zVtx; |
c05ff6be | 629 | |
630 | if (fillpT) | |
631 | weight = particle->Pt(); | |
bf58cbde | 632 | |
c7245604 | 633 | // fill all in toward region and do not use the other regions |
634 | fNumberDensityPhi->GetTrackHist(AliUEHist::kToward)->Fill(vars, step, weight); | |
d38fa455 | 635 | |
636 | // Printf("%.2f %.2f --> %.2f", triggerEta, eta[j], vars[0]); | |
c7245604 | 637 | } |
bf58cbde | 638 | |
c7245604 | 639 | if (firstTime) |
640 | { | |
641 | // once per trigger particle | |
85bfac17 | 642 | Double_t vars[3]; |
c7245604 | 643 | vars[0] = triggerParticle->Pt(); |
644 | vars[1] = centrality; | |
85bfac17 | 645 | vars[2] = zVtx; |
c7245604 | 646 | fNumberDensityPhi->GetEventHist()->Fill(vars, step); |
c7245604 | 647 | } |
bf58cbde | 648 | } |
649 | } | |
650 | ||
651 | fCentralityDistribution->Fill(centrality); | |
447d47d8 | 652 | fCentralityCorrelation->Fill(centrality, particles->GetEntriesFast()); |
2a910c25 | 653 | FillEvent(centrality, step); |
bf58cbde | 654 | } |
a75aacd6 | 655 | |
b1831bcb | 656 | //____________________________________________________________________ |
c7245604 | 657 | void AliUEHistograms::FillTrackingEfficiency(TObjArray* mc, TObjArray* recoPrim, TObjArray* recoAll, Int_t particleType, Double_t centrality) |
b1831bcb | 658 | { |
659 | // fills the tracking efficiency objects | |
660 | // | |
661 | // mc: all primary MC particles | |
662 | // recoPrim: reconstructed primaries (again MC particles) | |
663 | // recoAll: reconstructed (again MC particles) | |
664 | // particleType is: 0 for pion, 1 for kaon, 2 for proton, 3 for others | |
665 | ||
666 | for (Int_t step=0; step<3; step++) | |
667 | { | |
668 | TObjArray* list = mc; | |
669 | if (step == 1) | |
670 | list = recoPrim; | |
671 | else if (step == 2) | |
672 | list = recoAll; | |
673 | ||
eed401dc | 674 | for (Int_t i=0; i<list->GetEntriesFast(); i++) |
b1831bcb | 675 | { |
676 | AliVParticle* particle = (AliVParticle*) list->At(i); | |
c7245604 | 677 | Double_t vars[4]; |
b1831bcb | 678 | vars[0] = particle->Eta(); |
679 | vars[1] = particle->Pt(); | |
680 | vars[2] = particleType; | |
c7245604 | 681 | vars[3] = centrality; |
b1831bcb | 682 | |
bf58cbde | 683 | for (Int_t j=0; j<fgkUEHists; j++) |
684 | if (GetUEHist(j)) | |
685 | GetUEHist(j)->GetTrackHistEfficiency()->Fill(vars, step); | |
b1831bcb | 686 | } |
687 | } | |
688 | } | |
689 | ||
a75aacd6 | 690 | //____________________________________________________________________ |
691 | void AliUEHistograms::FillEvent(Int_t eventType, Int_t step) | |
692 | { | |
693 | // fills the number of events at the given step and the given enty type | |
694 | // | |
695 | // WARNING: This function is called from Fill, so only call it for steps where Fill is not called | |
696 | ||
697 | fEventCount->Fill(step, eventType); | |
698 | } | |
699 | ||
2a910c25 | 700 | //____________________________________________________________________ |
701 | void AliUEHistograms::FillEvent(Double_t centrality, Int_t step) | |
702 | { | |
703 | // fills the number of events at the given step and the given centrality | |
704 | // | |
705 | // WARNING: This function is called from Fill, so only call it for steps where Fill is not called | |
706 | ||
707 | fEventCount->Fill(step, centrality); | |
708 | } | |
709 | ||
a75aacd6 | 710 | //____________________________________________________________________ |
711 | void AliUEHistograms::SetEtaRange(Float_t etaMin, Float_t etaMax) | |
712 | { | |
713 | // sets eta min and max for all contained AliUEHist classes | |
714 | ||
bf58cbde | 715 | for (Int_t i=0; i<fgkUEHists; i++) |
716 | if (GetUEHist(i)) | |
717 | GetUEHist(i)->SetEtaRange(etaMin, etaMax); | |
a75aacd6 | 718 | } |
719 | ||
720 | //____________________________________________________________________ | |
721 | void AliUEHistograms::SetPtRange(Float_t ptMin, Float_t ptMax) | |
722 | { | |
723 | // sets pT min and max for all contained AliUEHist classes | |
724 | ||
bf58cbde | 725 | for (Int_t i=0; i<fgkUEHists; i++) |
726 | if (GetUEHist(i)) | |
727 | GetUEHist(i)->SetPtRange(ptMin, ptMax); | |
a75aacd6 | 728 | } |
729 | ||
85bfac17 | 730 | //____________________________________________________________________ |
731 | void AliUEHistograms::SetZVtxRange(Float_t min, Float_t max) | |
732 | { | |
733 | // sets pT min and max for all contained AliUEHist classes | |
734 | ||
735 | for (Int_t i=0; i<fgkUEHists; i++) | |
736 | if (GetUEHist(i)) | |
737 | GetUEHist(i)->SetZVtxRange(min, max); | |
738 | } | |
739 | ||
144bd037 | 740 | //____________________________________________________________________ |
741 | void AliUEHistograms::SetContaminationEnhancement(TH1F* hist) | |
742 | { | |
743 | // sets the contamination enhancement histogram in all contained AliUEHist classes | |
744 | ||
bf58cbde | 745 | for (Int_t i=0; i<fgkUEHists; i++) |
746 | if (GetUEHist(i)) | |
747 | GetUEHist(i)->SetContaminationEnhancement(hist); | |
144bd037 | 748 | } |
749 | ||
a75aacd6 | 750 | //____________________________________________________________________ |
751 | void AliUEHistograms::SetCombineMinMax(Bool_t flag) | |
752 | { | |
753 | // sets pT min and max for all contained AliUEHist classes | |
754 | ||
bf58cbde | 755 | for (Int_t i=0; i<fgkUEHists; i++) |
756 | if (GetUEHist(i)) | |
757 | GetUEHist(i)->SetCombineMinMax(flag); | |
a75aacd6 | 758 | } |
759 | ||
760 | //____________________________________________________________________ | |
761 | void AliUEHistograms::Correct(AliUEHistograms* corrections) | |
762 | { | |
763 | // corrects the contained histograms by calling AliUEHist::Correct | |
764 | ||
bf58cbde | 765 | for (Int_t i=0; i<fgkUEHists; i++) |
766 | if (GetUEHist(i)) | |
767 | GetUEHist(i)->Correct(corrections->GetUEHist(i)); | |
a75aacd6 | 768 | } |
769 | ||
770 | //____________________________________________________________________ | |
771 | AliUEHistograms &AliUEHistograms::operator=(const AliUEHistograms &c) | |
772 | { | |
773 | // assigment operator | |
774 | ||
b0d56b29 | 775 | DeleteContainers(); |
776 | ||
a75aacd6 | 777 | if (this != &c) |
778 | ((AliUEHistograms &) c).Copy(*this); | |
779 | ||
780 | return *this; | |
781 | } | |
782 | ||
783 | //____________________________________________________________________ | |
784 | void AliUEHistograms::Copy(TObject& c) const | |
785 | { | |
786 | // copy function | |
787 | ||
788 | AliUEHistograms& target = (AliUEHistograms &) c; | |
789 | ||
790 | if (fNumberDensitypT) | |
791 | target.fNumberDensitypT = dynamic_cast<AliUEHist*> (fNumberDensitypT->Clone()); | |
792 | ||
793 | if (fSumpT) | |
794 | target.fSumpT = dynamic_cast<AliUEHist*> (fSumpT->Clone()); | |
795 | ||
796 | if (fNumberDensityPhi) | |
797 | target.fNumberDensityPhi = dynamic_cast<AliUEHist*> (fNumberDensityPhi->Clone()); | |
798 | ||
799 | if (fCorrelationpT) | |
800 | target.fCorrelationpT = dynamic_cast<TH2F*> (fCorrelationpT->Clone()); | |
801 | ||
802 | if (fCorrelationEta) | |
803 | target.fCorrelationEta = dynamic_cast<TH2F*> (fCorrelationEta->Clone()); | |
804 | ||
805 | if (fCorrelationPhi) | |
806 | target.fCorrelationPhi = dynamic_cast<TH2F*> (fCorrelationPhi->Clone()); | |
807 | ||
808 | if (fCorrelationR) | |
809 | target.fCorrelationR = dynamic_cast<TH2F*> (fCorrelationR->Clone()); | |
810 | ||
811 | if (fCorrelationLeading2Phi) | |
812 | target.fCorrelationLeading2Phi = dynamic_cast<TH2F*> (fCorrelationLeading2Phi->Clone()); | |
813 | ||
814 | if (fCorrelationMultiplicity) | |
815 | target.fCorrelationMultiplicity = dynamic_cast<TH2F*> (fCorrelationMultiplicity->Clone()); | |
816 | ||
5e053cad | 817 | if (fYields) |
818 | target.fYields = dynamic_cast<TH3F*> (fYields->Clone()); | |
819 | ||
a75aacd6 | 820 | if (fEventCount) |
821 | target.fEventCount = dynamic_cast<TH2F*> (fEventCount->Clone()); | |
822 | ||
823 | if (fEventCountDifferential) | |
824 | target.fEventCountDifferential = dynamic_cast<TH3F*> (fEventCountDifferential->Clone()); | |
825 | ||
826 | if (fVertexContributors) | |
827 | target.fVertexContributors = dynamic_cast<TH1F*> (fVertexContributors->Clone()); | |
bf58cbde | 828 | |
829 | if (fCentralityDistribution) | |
830 | target.fCentralityDistribution = dynamic_cast<TH1F*> (fCentralityDistribution->Clone()); | |
c7245604 | 831 | |
447d47d8 | 832 | if (fCentralityCorrelation) |
833 | target.fCentralityCorrelation = dynamic_cast<TH2F*> (fCentralityCorrelation->Clone()); | |
834 | ||
2a910c25 | 835 | if (fITSClusterMap) |
836 | target.fITSClusterMap = dynamic_cast<TH3F*> (fITSClusterMap->Clone()); | |
837 | ||
1bba939a | 838 | for (Int_t i=0; i<2; i++) |
670e1d49 | 839 | if (fTwoTrackDistancePt[i]) |
840 | target.fTwoTrackDistancePt[i] = dynamic_cast<TH3F*> (fTwoTrackDistancePt[i]->Clone()); | |
1bba939a | 841 | |
c7245604 | 842 | target.fSelectCharge = fSelectCharge; |
d38fa455 | 843 | target.fTriggerRestrictEta = fTriggerRestrictEta; |
00b6f3c6 | 844 | target.fEtaOrdering = fEtaOrdering; |
b0d56b29 | 845 | target.fCutConversions = fCutConversions; |
846 | target.fCutResonances = fCutResonances; | |
9da2f080 | 847 | target.fOnlyOneEtaSide = fOnlyOneEtaSide; |
85bfac17 | 848 | target.fRunNumber = fRunNumber; |
a75aacd6 | 849 | } |
850 | ||
851 | //____________________________________________________________________ | |
852 | Long64_t AliUEHistograms::Merge(TCollection* list) | |
853 | { | |
854 | // Merge a list of AliUEHistograms objects with this (needed for | |
855 | // PROOF). | |
856 | // Returns the number of merged objects (including this). | |
857 | ||
858 | if (!list) | |
859 | return 0; | |
860 | ||
861 | if (list->IsEmpty()) | |
862 | return 1; | |
863 | ||
864 | TIterator* iter = list->MakeIterator(); | |
865 | TObject* obj; | |
866 | ||
867 | // collections of objects | |
5e053cad | 868 | const Int_t kMaxLists = 18; |
a75aacd6 | 869 | TList* lists[kMaxLists]; |
870 | ||
871 | for (Int_t i=0; i<kMaxLists; i++) | |
872 | lists[i] = new TList; | |
873 | ||
874 | Int_t count = 0; | |
875 | while ((obj = iter->Next())) { | |
876 | ||
877 | AliUEHistograms* entry = dynamic_cast<AliUEHistograms*> (obj); | |
878 | if (entry == 0) | |
879 | continue; | |
880 | ||
bf58cbde | 881 | if (entry->fNumberDensitypT) |
882 | lists[0]->Add(entry->fNumberDensitypT); | |
883 | if (entry->fSumpT) | |
884 | lists[1]->Add(entry->fSumpT); | |
885 | if (entry->fNumberDensityPhi) | |
886 | lists[2]->Add(entry->fNumberDensityPhi); | |
a75aacd6 | 887 | lists[3]->Add(entry->fCorrelationpT); |
888 | lists[4]->Add(entry->fCorrelationEta); | |
889 | lists[5]->Add(entry->fCorrelationPhi); | |
890 | lists[6]->Add(entry->fCorrelationR); | |
891 | lists[7]->Add(entry->fCorrelationLeading2Phi); | |
892 | lists[8]->Add(entry->fCorrelationMultiplicity); | |
893 | lists[9]->Add(entry->fEventCount); | |
894 | lists[10]->Add(entry->fEventCountDifferential); | |
895 | lists[11]->Add(entry->fVertexContributors); | |
bf58cbde | 896 | lists[12]->Add(entry->fCentralityDistribution); |
2a910c25 | 897 | lists[13]->Add(entry->fITSClusterMap); |
78d64459 | 898 | if (entry->fTwoTrackDistancePt[0]) |
670e1d49 | 899 | lists[14]->Add(entry->fTwoTrackDistancePt[0]); |
78d64459 | 900 | if (entry->fTwoTrackDistancePt[1]) |
670e1d49 | 901 | lists[15]->Add(entry->fTwoTrackDistancePt[1]); |
78d64459 | 902 | if (entry->fCentralityCorrelation) |
447d47d8 | 903 | lists[16]->Add(entry->fCentralityCorrelation); |
5e053cad | 904 | if (entry->fYields) |
905 | lists[17]->Add(entry->fYields); | |
a75aacd6 | 906 | count++; |
907 | } | |
908 | ||
bf58cbde | 909 | if (fNumberDensitypT) |
910 | fNumberDensitypT->Merge(lists[0]); | |
911 | if (fSumpT) | |
912 | fSumpT->Merge(lists[1]); | |
913 | if (fNumberDensityPhi) | |
914 | fNumberDensityPhi->Merge(lists[2]); | |
a75aacd6 | 915 | fCorrelationpT->Merge(lists[3]); |
916 | fCorrelationEta->Merge(lists[4]); | |
917 | fCorrelationPhi->Merge(lists[5]); | |
918 | fCorrelationR->Merge(lists[6]); | |
919 | fCorrelationLeading2Phi->Merge(lists[7]); | |
920 | fCorrelationMultiplicity->Merge(lists[8]); | |
921 | fEventCount->Merge(lists[9]); | |
922 | fEventCountDifferential->Merge(lists[10]); | |
923 | fVertexContributors->Merge(lists[11]); | |
bf58cbde | 924 | fCentralityDistribution->Merge(lists[12]); |
2a910c25 | 925 | fITSClusterMap->Merge(lists[13]); |
0ffdaf17 | 926 | if (fTwoTrackDistancePt[0] && lists[14]->GetEntries() > 0) |
670e1d49 | 927 | fTwoTrackDistancePt[0]->Merge(lists[14]); |
0ffdaf17 | 928 | if (fTwoTrackDistancePt[1] && lists[15]->GetEntries() > 0) |
670e1d49 | 929 | fTwoTrackDistancePt[1]->Merge(lists[15]); |
447d47d8 | 930 | if (fCentralityCorrelation) |
931 | fCentralityCorrelation->Merge(lists[16]); | |
5e053cad | 932 | if (fYields && lists[17]->GetEntries() > 0) |
933 | fYields->Merge(lists[17]); | |
a75aacd6 | 934 | |
935 | for (Int_t i=0; i<kMaxLists; i++) | |
936 | delete lists[i]; | |
937 | ||
938 | return count+1; | |
939 | } | |
b1831bcb | 940 | |
941 | void AliUEHistograms::CopyReconstructedData(AliUEHistograms* from) | |
942 | { | |
943 | // copies those histograms extracted from ESD to this object | |
944 | ||
bf58cbde | 945 | for (Int_t i=0; i<fgkUEHists; i++) |
946 | if (GetUEHist(i)) | |
947 | GetUEHist(i)->CopyReconstructedData(from->GetUEHist(i)); | |
b1831bcb | 948 | } |
6f803f6c | 949 | |
0ffdaf17 | 950 | void AliUEHistograms::DeepCopy(AliUEHistograms* from) |
951 | { | |
952 | // copies the entries of this object's members from the object <from> to this object | |
953 | ||
954 | for (Int_t i=0; i<fgkUEHists; i++) | |
955 | if (GetUEHist(i) && from->GetUEHist(i)) | |
956 | GetUEHist(i)->DeepCopy(from->GetUEHist(i)); | |
957 | } | |
958 | ||
2a910c25 | 959 | void AliUEHistograms::ExtendTrackingEfficiency(Bool_t verbose) |
6f803f6c | 960 | { |
961 | // delegates to AliUEHists | |
962 | ||
bf58cbde | 963 | for (Int_t i=0; i<fgkUEHists; i++) |
964 | if (GetUEHist(i)) | |
2a910c25 | 965 | GetUEHist(i)->ExtendTrackingEfficiency(verbose); |
6f803f6c | 966 | } |
967 | ||
c7245604 | 968 | void AliUEHistograms::Scale(Double_t factor) |
969 | { | |
970 | // scales all contained histograms by the given factor | |
971 | ||
972 | for (Int_t i=0; i<fgkUEHists; i++) | |
973 | if (GetUEHist(i)) | |
974 | GetUEHist(i)->Scale(factor); | |
975 | ||
976 | TList list; | |
977 | list.Add(fCorrelationpT); | |
978 | list.Add(fCorrelationEta); | |
979 | list.Add(fCorrelationPhi); | |
980 | list.Add(fCorrelationR); | |
981 | list.Add(fCorrelationLeading2Phi); | |
982 | list.Add(fCorrelationMultiplicity); | |
5e053cad | 983 | list.Add(fYields); |
c7245604 | 984 | list.Add(fEventCount); |
985 | list.Add(fEventCountDifferential); | |
986 | list.Add(fVertexContributors); | |
987 | list.Add(fCentralityDistribution); | |
447d47d8 | 988 | list.Add(fCentralityCorrelation); |
2a910c25 | 989 | list.Add(fITSClusterMap); |
670e1d49 | 990 | list.Add(fTwoTrackDistancePt[0]); |
991 | list.Add(fTwoTrackDistancePt[1]); | |
c7245604 | 992 | |
993 | for (Int_t i=0; i<list.GetEntries(); i++) | |
994 | ((TH1*) list.At(i))->Scale(factor); | |
995 | } | |
996 | ||
997 | void AliUEHistograms::Reset() | |
998 | { | |
999 | // delegates to AliUEHists | |
1000 | ||
1001 | for (Int_t i=0; i<fgkUEHists; i++) | |
1002 | if (GetUEHist(i)) | |
1003 | GetUEHist(i)->Reset(); | |
1004 | } | |
1bba939a | 1005 | |
b0d56b29 | 1006 | Float_t AliUEHistograms::GetInvMassSquared(Float_t pt1, Float_t eta1, Float_t phi1, Float_t pt2, Float_t eta2, Float_t phi2, Float_t m0) |
1007 | { | |
1008 | // calculate inv mass squared | |
1009 | // same can be achieved, but with more computing time with | |
1010 | /*TLorentzVector photon, p1, p2; | |
1011 | p1.SetPtEtaPhiM(triggerParticle->Pt(), triggerEta, triggerParticle->Phi(), 0.510e-3); | |
1012 | p2.SetPtEtaPhiM(particle->Pt(), eta[j], particle->Phi(), 0.510e-3); | |
1013 | photon = p1+p2; | |
1014 | photon.M()*/ | |
1015 | ||
1016 | Float_t tantheta1 = 1e10; | |
1017 | ||
1018 | if (eta1 < -1e-10 || eta1 > 1e-10) | |
1019 | tantheta1 = 2 * TMath::Exp(-eta1) / ( 1 - TMath::Exp(-2*eta1)); | |
1020 | ||
1021 | Float_t tantheta2 = 1e10; | |
1022 | if (eta2 < -1e-10 || eta2 > 1e-10) | |
1023 | tantheta2 = 2 * TMath::Exp(-eta2) / ( 1 - TMath::Exp(-2*eta2)); | |
1024 | ||
1025 | Float_t e1squ = m0 * m0 + pt1 * pt1 * (1.0 + 1.0 / tantheta1 / tantheta1); | |
1026 | Float_t e2squ = m0 * m0 + pt2 * pt2 * (1.0 + 1.0 / tantheta2 / tantheta2); | |
1027 | ||
1028 | Float_t mass2 = 2 * m0 * m0 + 2 * ( TMath::Sqrt(e1squ * e2squ) - ( pt1 * pt2 * ( TMath::Cos(phi1 - phi2) + 1.0 / tantheta1 / tantheta2 ) ) ); | |
1029 | ||
1030 | return mass2; | |
1031 | } |