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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" | |
36 | ||
37 | ClassImp(AliUEHistograms) | |
38 | ||
bf58cbde | 39 | const Int_t AliUEHistograms::fgkUEHists = 3; |
40 | ||
e0331fd9 | 41 | AliUEHistograms::AliUEHistograms(const char* name, const char* histograms) : |
42 | TNamed(name, name), | |
a75aacd6 | 43 | fNumberDensitypT(0), |
44 | fSumpT(0), | |
45 | fNumberDensityPhi(0), | |
46 | fCorrelationpT(0), | |
47 | fCorrelationEta(0), | |
48 | fCorrelationPhi(0), | |
49 | fCorrelationR(0), | |
50 | fCorrelationLeading2Phi(0), | |
51 | fCorrelationMultiplicity(0), | |
52 | fEventCount(0), | |
53 | fEventCountDifferential(0), | |
bf58cbde | 54 | fVertexContributors(0), |
c7245604 | 55 | fCentralityDistribution(0), |
2a910c25 | 56 | fITSClusterMap(0), |
85bfac17 | 57 | fSelectCharge(0), |
58 | fRunNumber(0) | |
a75aacd6 | 59 | { |
60 | // Constructor | |
bf58cbde | 61 | // |
62 | // the string histograms defines which histograms are created: | |
63 | // 1 = NumberDensitypT | |
64 | // 2 = SumpT | |
65 | // 3 = NumberDensityPhi | |
66 | // 4 = NumberDensityPhiCentrality (other multiplicity for Pb) | |
67 | ||
670e1d49 | 68 | fTwoTrackDistancePt[0] = 0; |
69 | fTwoTrackDistancePt[1] = 0; | |
1bba939a | 70 | |
bf58cbde | 71 | TString histogramsStr(histograms); |
72 | ||
73 | if (histogramsStr.Contains("1")) | |
74 | fNumberDensitypT = new AliUEHist("NumberDensitypT"); | |
75 | if (histogramsStr.Contains("2")) | |
76 | fSumpT = new AliUEHist("SumpT"); | |
a75aacd6 | 77 | |
bf58cbde | 78 | if (histogramsStr.Contains("3")) |
79 | fNumberDensityPhi = new AliUEHist("NumberDensityPhi"); | |
80 | else if (histogramsStr.Contains("4")) | |
81 | fNumberDensityPhi = new AliUEHist("NumberDensityPhiCentrality"); | |
a75aacd6 | 82 | |
83 | // do not add this hists to the directory | |
84 | Bool_t oldStatus = TH1::AddDirectoryStatus(); | |
85 | TH1::AddDirectory(kFALSE); | |
86 | ||
c7245604 | 87 | if (!histogramsStr.Contains("4")) |
88 | { | |
89 | fCorrelationpT = new TH2F("fCorrelationpT", ";p_{T,lead} (MC);p_{T,lead} (RECO)", 200, 0, 50, 200, 0, 50); | |
2a910c25 | 90 | fCorrelationEta = new TH2F("fCorrelationEta", ";#eta_{lead} (MC);#eta_{T,lead} (RECO)", 200, -1, 1, 200, -1, 1); |
a4a4d54e | 91 | fCorrelationPhi = new TH2F("fCorrelationPhi", ";#varphi_{lead} (MC);#varphi_{T,lead} (RECO)", 200, 0, TMath::TwoPi(), 200, 0, TMath::TwoPi()); |
c7245604 | 92 | } |
93 | else | |
94 | { | |
2a910c25 | 95 | fCorrelationpT = new TH2F("fCorrelationpT", ";Centrality;p_{T} (RECO)", 100, 0, 100.001, 200, 0, 50); |
96 | fCorrelationEta = new TH2F("fCorrelationEta", ";Centrality;#eta (RECO)", 100, 0, 100.001, 200, -1, 1); | |
a4a4d54e | 97 | fCorrelationPhi = new TH2F("fCorrelationPhi", ";Centrality;#varphi (RECO)", 100, 0, 100.001, 200, 0, TMath::TwoPi()); |
c7245604 | 98 | } |
99 | ||
a75aacd6 | 100 | fCorrelationR = new TH2F("fCorrelationR", ";R;p_{T,lead} (MC)", 200, 0, 2, 200, 0, 50); |
a4a4d54e | 101 | fCorrelationLeading2Phi = new TH2F("fCorrelationLeading2Phi", ";#Delta #varphi;p_{T,lead} (MC)", 200, -TMath::Pi(), TMath::Pi(), 200, 0, 50); |
a75aacd6 | 102 | fCorrelationMultiplicity = new TH2F("fCorrelationMultiplicity", ";MC tracks;Reco tracks", 100, -0.5, 99.5, 100, -0.5, 99.5); |
103 | ||
2a910c25 | 104 | if (!histogramsStr.Contains("4")) |
105 | { | |
106 | fEventCount = new TH2F("fEventCount", ";step;event type;count", AliUEHist::fgkCFSteps+2, -2.5, -0.5 + AliUEHist::fgkCFSteps, 3, -0.5, 2.5); | |
107 | fEventCount->GetYaxis()->SetBinLabel(1, "ND"); | |
108 | fEventCount->GetYaxis()->SetBinLabel(2, "SD"); | |
109 | fEventCount->GetYaxis()->SetBinLabel(3, "DD"); | |
110 | } | |
111 | else | |
112 | { | |
113 | 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()); | |
114 | } | |
a75aacd6 | 115 | |
116 | 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); | |
117 | fEventCountDifferential->GetZaxis()->SetBinLabel(1, "ND"); | |
118 | fEventCountDifferential->GetZaxis()->SetBinLabel(2, "SD"); | |
119 | fEventCountDifferential->GetZaxis()->SetBinLabel(3, "DD"); | |
120 | ||
121 | fVertexContributors = new TH1F("fVertexContributors", ";contributors;count", 100, -0.5, 99.5); | |
122 | ||
664d6288 | 123 | if (fNumberDensityPhi) |
124 | fCentralityDistribution = new TH1F("fCentralityDistribution", ";;count", fNumberDensityPhi->GetEventHist()->GetNBins(1), fNumberDensityPhi->GetEventHist()->GetAxis(1, 0)->GetXbins()->GetArray()); | |
bf58cbde | 125 | |
2a910c25 | 126 | fITSClusterMap = new TH3F("fITSClusterMap", "; its cluster map; centrality; pT", 256, -0.5, 255.5, 20, 0, 100.001, 100, 0, 20); |
127 | ||
a75aacd6 | 128 | TH1::AddDirectory(oldStatus); |
129 | } | |
130 | ||
d1c75d06 | 131 | //_____________________________________________________________________________ |
132 | AliUEHistograms::AliUEHistograms(const AliUEHistograms &c) : | |
e0331fd9 | 133 | TNamed(fName, fTitle), |
d1c75d06 | 134 | fNumberDensitypT(0), |
135 | fSumpT(0), | |
136 | fNumberDensityPhi(0), | |
137 | fCorrelationpT(0), | |
138 | fCorrelationEta(0), | |
139 | fCorrelationPhi(0), | |
140 | fCorrelationR(0), | |
141 | fCorrelationLeading2Phi(0), | |
142 | fCorrelationMultiplicity(0), | |
143 | fEventCount(0), | |
144 | fEventCountDifferential(0), | |
bf58cbde | 145 | fVertexContributors(0), |
c7245604 | 146 | fCentralityDistribution(0), |
2a910c25 | 147 | fITSClusterMap(0), |
85bfac17 | 148 | fSelectCharge(0), |
149 | fRunNumber(0) | |
d1c75d06 | 150 | { |
151 | // | |
152 | // AliUEHistograms copy constructor | |
153 | // | |
154 | ||
670e1d49 | 155 | fTwoTrackDistancePt[0] = 0; |
156 | fTwoTrackDistancePt[1] = 0; | |
1bba939a | 157 | |
d1c75d06 | 158 | ((AliUEHistograms &) c).Copy(*this); |
159 | } | |
160 | ||
a75aacd6 | 161 | //____________________________________________________________________ |
162 | AliUEHistograms::~AliUEHistograms() | |
163 | { | |
164 | // Destructor | |
165 | ||
166 | if (fNumberDensitypT) | |
167 | { | |
168 | delete fNumberDensitypT; | |
169 | fNumberDensitypT = 0; | |
170 | } | |
171 | ||
172 | if (fSumpT) | |
173 | { | |
174 | delete fSumpT; | |
175 | fSumpT = 0; | |
176 | } | |
177 | ||
178 | if (fNumberDensityPhi) | |
179 | { | |
180 | delete fNumberDensityPhi; | |
181 | fNumberDensityPhi = 0; | |
182 | } | |
183 | ||
184 | if (fCorrelationpT) | |
185 | { | |
186 | delete fCorrelationpT; | |
187 | fCorrelationpT = 0; | |
188 | } | |
189 | ||
190 | if (fCorrelationEta) | |
191 | { | |
192 | delete fCorrelationEta; | |
193 | fCorrelationEta = 0; | |
194 | } | |
195 | ||
196 | if (fCorrelationPhi) | |
197 | { | |
198 | delete fCorrelationPhi; | |
199 | fCorrelationPhi = 0; | |
200 | } | |
201 | ||
202 | if (fCorrelationR) | |
203 | { | |
204 | delete fCorrelationR; | |
205 | fCorrelationR = 0; | |
206 | } | |
207 | ||
208 | if (fCorrelationLeading2Phi) | |
209 | { | |
210 | delete fCorrelationLeading2Phi; | |
211 | fCorrelationLeading2Phi = 0; | |
212 | } | |
213 | ||
214 | if (fCorrelationMultiplicity) | |
215 | { | |
216 | delete fCorrelationMultiplicity; | |
217 | fCorrelationMultiplicity = 0; | |
218 | } | |
219 | ||
220 | if (fEventCount) | |
221 | { | |
222 | delete fEventCount; | |
223 | fEventCount = 0; | |
224 | } | |
225 | ||
226 | if (fEventCountDifferential) | |
227 | { | |
228 | delete fEventCountDifferential; | |
229 | fEventCountDifferential = 0; | |
230 | } | |
231 | ||
232 | if (fVertexContributors) | |
233 | { | |
234 | delete fVertexContributors; | |
235 | fVertexContributors = 0; | |
236 | } | |
bf58cbde | 237 | |
238 | if (fCentralityDistribution) | |
239 | { | |
240 | delete fCentralityDistribution; | |
241 | fCentralityDistribution = 0; | |
242 | } | |
2a910c25 | 243 | |
244 | if (fITSClusterMap) | |
245 | { | |
246 | delete fITSClusterMap; | |
247 | fITSClusterMap = 0; | |
248 | } | |
1bba939a | 249 | |
250 | for (Int_t i=0; i<2; i++) | |
670e1d49 | 251 | if (fTwoTrackDistancePt[i]) |
1bba939a | 252 | { |
670e1d49 | 253 | delete fTwoTrackDistancePt[i]; |
254 | fTwoTrackDistancePt[i] = 0; | |
1bba939a | 255 | } |
a75aacd6 | 256 | } |
257 | ||
ada1a03f | 258 | AliUEHist* AliUEHistograms::GetUEHist(Int_t id) |
259 | { | |
260 | // returns AliUEHist object, useful for loops | |
261 | ||
262 | switch (id) | |
263 | { | |
264 | case 0: return fNumberDensitypT; break; | |
265 | case 1: return fSumpT; break; | |
266 | case 2: return fNumberDensityPhi; break; | |
267 | } | |
268 | ||
269 | return 0; | |
270 | } | |
271 | ||
a75aacd6 | 272 | //____________________________________________________________________ |
273 | Int_t AliUEHistograms::CountParticles(TList* list, Float_t ptMin) | |
274 | { | |
275 | // counts the number of particles in the list with a pT above ptMin | |
276 | // TODO eta cut needed here? | |
277 | ||
278 | Int_t count = 0; | |
279 | for (Int_t j=0; j<list->GetEntries(); j++) | |
280 | if (((AliVParticle*) list->At(j))->Pt() > ptMin) | |
281 | count++; | |
282 | ||
283 | return count; | |
284 | } | |
285 | ||
286 | //____________________________________________________________________ | |
85bfac17 | 287 | void AliUEHistograms::Fill(Int_t eventType, Float_t zVtx, AliUEHist::CFStep step, AliVParticle* leading, TList* toward, TList* away, TList* min, TList* max) |
a75aacd6 | 288 | { |
289 | // fills the UE event histograms | |
290 | // | |
291 | // 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 | |
292 | ||
293 | // if leading is not set, just fill event statistics | |
294 | if (leading) | |
295 | { | |
296 | Int_t multiplicity = 0; | |
297 | ||
298 | // TODO configurable? | |
299 | Float_t ptMin = 0.15; | |
300 | if (leading->Pt() > ptMin) | |
301 | multiplicity++; | |
302 | ||
303 | multiplicity += CountParticles(toward, ptMin); | |
304 | multiplicity += CountParticles(away, ptMin); | |
305 | multiplicity += CountParticles(min, ptMin); | |
306 | multiplicity += CountParticles(max, ptMin); | |
307 | ||
85bfac17 | 308 | FillRegion(AliUEHist::kToward, zVtx, step, leading, toward, multiplicity); |
309 | FillRegion(AliUEHist::kAway, zVtx, step, leading, away, multiplicity); | |
310 | FillRegion(AliUEHist::kMin, zVtx, step, leading, min, multiplicity); | |
311 | FillRegion(AliUEHist::kMax, zVtx, step, leading, max, multiplicity); | |
b1831bcb | 312 | |
85bfac17 | 313 | Double_t vars[3]; |
a75aacd6 | 314 | vars[0] = leading->Pt(); |
315 | vars[1] = multiplicity; | |
85bfac17 | 316 | vars[2] = zVtx; |
bf58cbde | 317 | for (Int_t i=0; i<fgkUEHists; i++) |
318 | if (GetUEHist(i)) | |
319 | GetUEHist(i)->GetEventHist()->Fill(vars, step); | |
a75aacd6 | 320 | |
321 | fEventCountDifferential->Fill(leading->Pt(), step, eventType); | |
322 | } | |
323 | ||
324 | FillEvent(eventType, step); | |
325 | } | |
326 | ||
327 | //____________________________________________________________________ | |
85bfac17 | 328 | void AliUEHistograms::FillRegion(AliUEHist::Region region, Float_t zVtx, AliUEHist::CFStep step, AliVParticle* leading, TList* list, Int_t multiplicity) |
a75aacd6 | 329 | { |
330 | // loops over AliVParticles in list and fills the given region at the given step | |
331 | // | |
332 | // See also Fill(...) | |
333 | ||
334 | for (Int_t i=0; i<list->GetEntries(); i++) | |
335 | { | |
336 | AliVParticle* particle = (AliVParticle*) list->At(i); | |
337 | ||
85bfac17 | 338 | Double_t vars[6]; |
a75aacd6 | 339 | vars[0] = particle->Eta(); |
340 | vars[1] = particle->Pt(); | |
341 | vars[2] = leading->Pt(); | |
342 | vars[3] = multiplicity; | |
343 | vars[4] = leading->Phi() - particle->Phi(); | |
2ac8dc5c | 344 | if (vars[4] > 1.5 * TMath::Pi()) |
345 | vars[4] -= TMath::TwoPi(); | |
346 | if (vars[4] < -0.5 * TMath::Pi()) | |
347 | vars[4] += TMath::TwoPi(); | |
85bfac17 | 348 | vars[5] = zVtx; |
349 | ||
bf58cbde | 350 | if (fNumberDensitypT) |
351 | fNumberDensitypT->GetTrackHist(region)->Fill(vars, step); | |
352 | ||
353 | if (fSumpT) | |
354 | fSumpT->GetTrackHist(region)->Fill(vars, step, particle->Pt()); | |
a75aacd6 | 355 | |
356 | // fill all in toward region (is anyway as function of delta phi!) | |
bf58cbde | 357 | if (fNumberDensityPhi) |
358 | fNumberDensityPhi->GetTrackHist(AliUEHist::kToward)->Fill(vars, step); | |
a75aacd6 | 359 | } |
360 | } | |
361 | ||
362 | //____________________________________________________________________ | |
363 | void AliUEHistograms::Fill(AliVParticle* leadingMC, AliVParticle* leadingReco) | |
364 | { | |
365 | // fills the correlation histograms | |
366 | ||
367 | if (leadingMC) | |
368 | { | |
369 | fCorrelationpT->Fill(leadingMC->Pt(), leadingReco->Pt()); | |
370 | if (leadingMC->Pt() > 0.5) | |
371 | { | |
372 | fCorrelationEta->Fill(leadingMC->Eta(), leadingReco->Eta()); | |
373 | fCorrelationPhi->Fill(leadingMC->Phi(), leadingReco->Phi()); | |
374 | } | |
375 | ||
376 | Float_t phiDiff = leadingMC->Phi() - leadingReco->Phi(); | |
377 | if (phiDiff > TMath::Pi()) | |
378 | phiDiff -= TMath::TwoPi(); | |
379 | if (phiDiff < -TMath::Pi()) | |
380 | phiDiff += TMath::TwoPi(); | |
381 | ||
382 | Float_t etaDiff = leadingMC->Eta() - leadingReco->Eta(); | |
383 | ||
384 | fCorrelationR->Fill(TMath::Sqrt(phiDiff * phiDiff + etaDiff * etaDiff), leadingMC->Pt()); | |
385 | fCorrelationLeading2Phi->Fill(phiDiff, leadingMC->Pt()); | |
386 | } | |
387 | else | |
388 | { | |
389 | fCorrelationpT->Fill(1.0, leadingReco->Pt()); | |
390 | if (leadingReco->Pt() > 0.5) | |
391 | { | |
392 | fCorrelationEta->Fill(0.0, leadingReco->Eta()); | |
393 | fCorrelationPhi->Fill(0.0, leadingReco->Phi()); | |
394 | } | |
395 | } | |
396 | } | |
bf58cbde | 397 | |
398 | //____________________________________________________________________ | |
eed401dc | 399 | void AliUEHistograms::FillCorrelations(Double_t centrality, Float_t zVtx, AliUEHist::CFStep step, TObjArray* particles, TObjArray* mixed, Float_t weight, Bool_t firstTime) |
bf58cbde | 400 | { |
401 | // fills the fNumberDensityPhi histogram | |
402 | // | |
403 | // this function need a list of AliVParticles which contain the particles/tracks to be filled | |
e0331fd9 | 404 | // |
405 | // if mixed is non-0, mixed events are filled, the trigger particle is from particles, the associated from mixed | |
c05ff6be | 406 | // if weight < 0, then the pt of the associated particle is filled as weight |
407 | ||
408 | Bool_t fillpT = kFALSE; | |
409 | if (weight < 0) | |
410 | fillpT = kTRUE; | |
bf58cbde | 411 | |
eed401dc | 412 | // Eta() is extremely time consuming, therefore cache it for the inner loop here: |
413 | TObjArray* input = (mixed) ? mixed : particles; | |
414 | TArrayF eta(input->GetEntriesFast()); | |
415 | for (Int_t i=0; i<input->GetEntriesFast(); i++) | |
416 | eta[i] = ((AliVParticle*) input->At(i))->Eta(); | |
417 | ||
bf58cbde | 418 | // if particles is not set, just fill event statistics |
419 | if (particles) | |
420 | { | |
eed401dc | 421 | Int_t jMax = particles->GetEntriesFast(); |
422 | if (mixed) | |
423 | jMax = mixed->GetEntriesFast(); | |
424 | ||
425 | for (Int_t i=0; i<particles->GetEntriesFast(); i++) | |
bf58cbde | 426 | { |
427 | AliVParticle* triggerParticle = (AliVParticle*) particles->At(i); | |
eed401dc | 428 | |
429 | // some optimization | |
430 | Float_t triggerEta = triggerParticle->Eta(); | |
e0331fd9 | 431 | |
c7245604 | 432 | if (!mixed) |
433 | { | |
434 | // QA | |
435 | fCorrelationpT->Fill(centrality, triggerParticle->Pt()); | |
eed401dc | 436 | fCorrelationEta->Fill(centrality, triggerEta); |
c7245604 | 437 | fCorrelationPhi->Fill(centrality, triggerParticle->Phi()); |
85bfac17 | 438 | /* if (dynamic_cast<AliAODTrack*>(triggerParticle)) |
439 | fITSClusterMap->Fill(((AliAODTrack*) triggerParticle)->GetITSClusterMap(), centrality, triggerParticle->Pt());*/ | |
c7245604 | 440 | } |
441 | ||
e0331fd9 | 442 | for (Int_t j=0; j<jMax; j++) |
bf58cbde | 443 | { |
e0331fd9 | 444 | if (!mixed && i == j) |
bf58cbde | 445 | continue; |
446 | ||
e0331fd9 | 447 | AliVParticle* particle = 0; |
448 | if (!mixed) | |
449 | particle = (AliVParticle*) particles->At(j); | |
450 | else | |
451 | particle = (AliVParticle*) mixed->At(j); | |
bf58cbde | 452 | |
2a910c25 | 453 | // 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) |
454 | if (mixed && triggerParticle == particle) | |
455 | continue; | |
456 | ||
c7245604 | 457 | if (particle->Pt() > triggerParticle->Pt()) |
458 | continue; | |
459 | ||
460 | if (fSelectCharge > 0) | |
461 | { | |
462 | // skip like sign | |
463 | if (fSelectCharge == 1 && particle->Charge() * triggerParticle->Charge() > 0) | |
464 | continue; | |
465 | ||
466 | // skip unlike sign | |
467 | if (fSelectCharge == 2 && particle->Charge() * triggerParticle->Charge() < 0) | |
468 | continue; | |
469 | } | |
470 | ||
85bfac17 | 471 | Double_t vars[6]; |
eed401dc | 472 | vars[0] = triggerEta - eta[j]; |
bf58cbde | 473 | vars[1] = particle->Pt(); |
474 | vars[2] = triggerParticle->Pt(); | |
475 | vars[3] = centrality; | |
476 | vars[4] = triggerParticle->Phi() - particle->Phi(); | |
477 | if (vars[4] > 1.5 * TMath::Pi()) | |
478 | vars[4] -= TMath::TwoPi(); | |
479 | if (vars[4] < -0.5 * TMath::Pi()) | |
480 | vars[4] += TMath::TwoPi(); | |
85bfac17 | 481 | vars[5] = zVtx; |
c05ff6be | 482 | |
483 | if (fillpT) | |
484 | weight = particle->Pt(); | |
bf58cbde | 485 | |
c7245604 | 486 | // fill all in toward region and do not use the other regions |
487 | fNumberDensityPhi->GetTrackHist(AliUEHist::kToward)->Fill(vars, step, weight); | |
488 | } | |
bf58cbde | 489 | |
c7245604 | 490 | if (firstTime) |
491 | { | |
492 | // once per trigger particle | |
85bfac17 | 493 | Double_t vars[3]; |
c7245604 | 494 | vars[0] = triggerParticle->Pt(); |
495 | vars[1] = centrality; | |
85bfac17 | 496 | vars[2] = zVtx; |
c7245604 | 497 | fNumberDensityPhi->GetEventHist()->Fill(vars, step); |
c7245604 | 498 | } |
bf58cbde | 499 | } |
500 | } | |
501 | ||
502 | fCentralityDistribution->Fill(centrality); | |
2a910c25 | 503 | FillEvent(centrality, step); |
bf58cbde | 504 | } |
a75aacd6 | 505 | |
b1831bcb | 506 | //____________________________________________________________________ |
c7245604 | 507 | void AliUEHistograms::FillTrackingEfficiency(TObjArray* mc, TObjArray* recoPrim, TObjArray* recoAll, Int_t particleType, Double_t centrality) |
b1831bcb | 508 | { |
509 | // fills the tracking efficiency objects | |
510 | // | |
511 | // mc: all primary MC particles | |
512 | // recoPrim: reconstructed primaries (again MC particles) | |
513 | // recoAll: reconstructed (again MC particles) | |
514 | // particleType is: 0 for pion, 1 for kaon, 2 for proton, 3 for others | |
515 | ||
516 | for (Int_t step=0; step<3; step++) | |
517 | { | |
518 | TObjArray* list = mc; | |
519 | if (step == 1) | |
520 | list = recoPrim; | |
521 | else if (step == 2) | |
522 | list = recoAll; | |
523 | ||
eed401dc | 524 | for (Int_t i=0; i<list->GetEntriesFast(); i++) |
b1831bcb | 525 | { |
526 | AliVParticle* particle = (AliVParticle*) list->At(i); | |
c7245604 | 527 | Double_t vars[4]; |
b1831bcb | 528 | vars[0] = particle->Eta(); |
529 | vars[1] = particle->Pt(); | |
530 | vars[2] = particleType; | |
c7245604 | 531 | vars[3] = centrality; |
b1831bcb | 532 | |
bf58cbde | 533 | for (Int_t j=0; j<fgkUEHists; j++) |
534 | if (GetUEHist(j)) | |
535 | GetUEHist(j)->GetTrackHistEfficiency()->Fill(vars, step); | |
b1831bcb | 536 | } |
537 | } | |
538 | } | |
539 | ||
a75aacd6 | 540 | //____________________________________________________________________ |
541 | void AliUEHistograms::FillEvent(Int_t eventType, Int_t step) | |
542 | { | |
543 | // fills the number of events at the given step and the given enty type | |
544 | // | |
545 | // WARNING: This function is called from Fill, so only call it for steps where Fill is not called | |
546 | ||
547 | fEventCount->Fill(step, eventType); | |
548 | } | |
549 | ||
2a910c25 | 550 | //____________________________________________________________________ |
551 | void AliUEHistograms::FillEvent(Double_t centrality, Int_t step) | |
552 | { | |
553 | // fills the number of events at the given step and the given centrality | |
554 | // | |
555 | // WARNING: This function is called from Fill, so only call it for steps where Fill is not called | |
556 | ||
557 | fEventCount->Fill(step, centrality); | |
558 | } | |
559 | ||
a75aacd6 | 560 | //____________________________________________________________________ |
561 | void AliUEHistograms::SetEtaRange(Float_t etaMin, Float_t etaMax) | |
562 | { | |
563 | // sets eta min and max for all contained AliUEHist classes | |
564 | ||
bf58cbde | 565 | for (Int_t i=0; i<fgkUEHists; i++) |
566 | if (GetUEHist(i)) | |
567 | GetUEHist(i)->SetEtaRange(etaMin, etaMax); | |
a75aacd6 | 568 | } |
569 | ||
570 | //____________________________________________________________________ | |
571 | void AliUEHistograms::SetPtRange(Float_t ptMin, Float_t ptMax) | |
572 | { | |
573 | // sets pT min and max for all contained AliUEHist classes | |
574 | ||
bf58cbde | 575 | for (Int_t i=0; i<fgkUEHists; i++) |
576 | if (GetUEHist(i)) | |
577 | GetUEHist(i)->SetPtRange(ptMin, ptMax); | |
a75aacd6 | 578 | } |
579 | ||
85bfac17 | 580 | //____________________________________________________________________ |
581 | void AliUEHistograms::SetZVtxRange(Float_t min, Float_t max) | |
582 | { | |
583 | // sets pT min and max for all contained AliUEHist classes | |
584 | ||
585 | for (Int_t i=0; i<fgkUEHists; i++) | |
586 | if (GetUEHist(i)) | |
587 | GetUEHist(i)->SetZVtxRange(min, max); | |
588 | } | |
589 | ||
144bd037 | 590 | //____________________________________________________________________ |
591 | void AliUEHistograms::SetContaminationEnhancement(TH1F* hist) | |
592 | { | |
593 | // sets the contamination enhancement histogram in all contained AliUEHist classes | |
594 | ||
bf58cbde | 595 | for (Int_t i=0; i<fgkUEHists; i++) |
596 | if (GetUEHist(i)) | |
597 | GetUEHist(i)->SetContaminationEnhancement(hist); | |
144bd037 | 598 | } |
599 | ||
a75aacd6 | 600 | //____________________________________________________________________ |
601 | void AliUEHistograms::SetCombineMinMax(Bool_t flag) | |
602 | { | |
603 | // sets pT min and max for all contained AliUEHist classes | |
604 | ||
bf58cbde | 605 | for (Int_t i=0; i<fgkUEHists; i++) |
606 | if (GetUEHist(i)) | |
607 | GetUEHist(i)->SetCombineMinMax(flag); | |
a75aacd6 | 608 | } |
609 | ||
610 | //____________________________________________________________________ | |
611 | void AliUEHistograms::Correct(AliUEHistograms* corrections) | |
612 | { | |
613 | // corrects the contained histograms by calling AliUEHist::Correct | |
614 | ||
bf58cbde | 615 | for (Int_t i=0; i<fgkUEHists; i++) |
616 | if (GetUEHist(i)) | |
617 | GetUEHist(i)->Correct(corrections->GetUEHist(i)); | |
a75aacd6 | 618 | } |
619 | ||
620 | //____________________________________________________________________ | |
621 | AliUEHistograms &AliUEHistograms::operator=(const AliUEHistograms &c) | |
622 | { | |
623 | // assigment operator | |
624 | ||
625 | if (this != &c) | |
626 | ((AliUEHistograms &) c).Copy(*this); | |
627 | ||
628 | return *this; | |
629 | } | |
630 | ||
631 | //____________________________________________________________________ | |
632 | void AliUEHistograms::Copy(TObject& c) const | |
633 | { | |
634 | // copy function | |
635 | ||
636 | AliUEHistograms& target = (AliUEHistograms &) c; | |
637 | ||
638 | if (fNumberDensitypT) | |
639 | target.fNumberDensitypT = dynamic_cast<AliUEHist*> (fNumberDensitypT->Clone()); | |
640 | ||
641 | if (fSumpT) | |
642 | target.fSumpT = dynamic_cast<AliUEHist*> (fSumpT->Clone()); | |
643 | ||
644 | if (fNumberDensityPhi) | |
645 | target.fNumberDensityPhi = dynamic_cast<AliUEHist*> (fNumberDensityPhi->Clone()); | |
646 | ||
647 | if (fCorrelationpT) | |
648 | target.fCorrelationpT = dynamic_cast<TH2F*> (fCorrelationpT->Clone()); | |
649 | ||
650 | if (fCorrelationEta) | |
651 | target.fCorrelationEta = dynamic_cast<TH2F*> (fCorrelationEta->Clone()); | |
652 | ||
653 | if (fCorrelationPhi) | |
654 | target.fCorrelationPhi = dynamic_cast<TH2F*> (fCorrelationPhi->Clone()); | |
655 | ||
656 | if (fCorrelationR) | |
657 | target.fCorrelationR = dynamic_cast<TH2F*> (fCorrelationR->Clone()); | |
658 | ||
659 | if (fCorrelationLeading2Phi) | |
660 | target.fCorrelationLeading2Phi = dynamic_cast<TH2F*> (fCorrelationLeading2Phi->Clone()); | |
661 | ||
662 | if (fCorrelationMultiplicity) | |
663 | target.fCorrelationMultiplicity = dynamic_cast<TH2F*> (fCorrelationMultiplicity->Clone()); | |
664 | ||
665 | if (fEventCount) | |
666 | target.fEventCount = dynamic_cast<TH2F*> (fEventCount->Clone()); | |
667 | ||
668 | if (fEventCountDifferential) | |
669 | target.fEventCountDifferential = dynamic_cast<TH3F*> (fEventCountDifferential->Clone()); | |
670 | ||
671 | if (fVertexContributors) | |
672 | target.fVertexContributors = dynamic_cast<TH1F*> (fVertexContributors->Clone()); | |
bf58cbde | 673 | |
674 | if (fCentralityDistribution) | |
675 | target.fCentralityDistribution = dynamic_cast<TH1F*> (fCentralityDistribution->Clone()); | |
c7245604 | 676 | |
2a910c25 | 677 | if (fITSClusterMap) |
678 | target.fITSClusterMap = dynamic_cast<TH3F*> (fITSClusterMap->Clone()); | |
679 | ||
1bba939a | 680 | for (Int_t i=0; i<2; i++) |
670e1d49 | 681 | if (fTwoTrackDistancePt[i]) |
682 | target.fTwoTrackDistancePt[i] = dynamic_cast<TH3F*> (fTwoTrackDistancePt[i]->Clone()); | |
1bba939a | 683 | |
c7245604 | 684 | target.fSelectCharge = fSelectCharge; |
85bfac17 | 685 | target.fRunNumber = fRunNumber; |
a75aacd6 | 686 | } |
687 | ||
688 | //____________________________________________________________________ | |
689 | Long64_t AliUEHistograms::Merge(TCollection* list) | |
690 | { | |
691 | // Merge a list of AliUEHistograms objects with this (needed for | |
692 | // PROOF). | |
693 | // Returns the number of merged objects (including this). | |
694 | ||
695 | if (!list) | |
696 | return 0; | |
697 | ||
698 | if (list->IsEmpty()) | |
699 | return 1; | |
700 | ||
701 | TIterator* iter = list->MakeIterator(); | |
702 | TObject* obj; | |
703 | ||
704 | // collections of objects | |
1bba939a | 705 | const Int_t kMaxLists = 16; |
a75aacd6 | 706 | TList* lists[kMaxLists]; |
707 | ||
708 | for (Int_t i=0; i<kMaxLists; i++) | |
709 | lists[i] = new TList; | |
710 | ||
711 | Int_t count = 0; | |
712 | while ((obj = iter->Next())) { | |
713 | ||
714 | AliUEHistograms* entry = dynamic_cast<AliUEHistograms*> (obj); | |
715 | if (entry == 0) | |
716 | continue; | |
717 | ||
bf58cbde | 718 | if (entry->fNumberDensitypT) |
719 | lists[0]->Add(entry->fNumberDensitypT); | |
720 | if (entry->fSumpT) | |
721 | lists[1]->Add(entry->fSumpT); | |
722 | if (entry->fNumberDensityPhi) | |
723 | lists[2]->Add(entry->fNumberDensityPhi); | |
a75aacd6 | 724 | lists[3]->Add(entry->fCorrelationpT); |
725 | lists[4]->Add(entry->fCorrelationEta); | |
726 | lists[5]->Add(entry->fCorrelationPhi); | |
727 | lists[6]->Add(entry->fCorrelationR); | |
728 | lists[7]->Add(entry->fCorrelationLeading2Phi); | |
729 | lists[8]->Add(entry->fCorrelationMultiplicity); | |
730 | lists[9]->Add(entry->fEventCount); | |
731 | lists[10]->Add(entry->fEventCountDifferential); | |
732 | lists[11]->Add(entry->fVertexContributors); | |
bf58cbde | 733 | lists[12]->Add(entry->fCentralityDistribution); |
2a910c25 | 734 | lists[13]->Add(entry->fITSClusterMap); |
670e1d49 | 735 | if (fTwoTrackDistancePt[0]) |
736 | lists[14]->Add(entry->fTwoTrackDistancePt[0]); | |
737 | if (fTwoTrackDistancePt[1]) | |
738 | lists[15]->Add(entry->fTwoTrackDistancePt[1]); | |
a75aacd6 | 739 | |
740 | count++; | |
741 | } | |
742 | ||
bf58cbde | 743 | if (fNumberDensitypT) |
744 | fNumberDensitypT->Merge(lists[0]); | |
745 | if (fSumpT) | |
746 | fSumpT->Merge(lists[1]); | |
747 | if (fNumberDensityPhi) | |
748 | fNumberDensityPhi->Merge(lists[2]); | |
a75aacd6 | 749 | fCorrelationpT->Merge(lists[3]); |
750 | fCorrelationEta->Merge(lists[4]); | |
751 | fCorrelationPhi->Merge(lists[5]); | |
752 | fCorrelationR->Merge(lists[6]); | |
753 | fCorrelationLeading2Phi->Merge(lists[7]); | |
754 | fCorrelationMultiplicity->Merge(lists[8]); | |
755 | fEventCount->Merge(lists[9]); | |
756 | fEventCountDifferential->Merge(lists[10]); | |
757 | fVertexContributors->Merge(lists[11]); | |
bf58cbde | 758 | fCentralityDistribution->Merge(lists[12]); |
2a910c25 | 759 | fITSClusterMap->Merge(lists[13]); |
670e1d49 | 760 | if (fTwoTrackDistancePt[0]) |
761 | fTwoTrackDistancePt[0]->Merge(lists[14]); | |
762 | if (fTwoTrackDistancePt[1]) | |
763 | fTwoTrackDistancePt[1]->Merge(lists[15]); | |
a75aacd6 | 764 | |
765 | for (Int_t i=0; i<kMaxLists; i++) | |
766 | delete lists[i]; | |
767 | ||
768 | return count+1; | |
769 | } | |
b1831bcb | 770 | |
771 | void AliUEHistograms::CopyReconstructedData(AliUEHistograms* from) | |
772 | { | |
773 | // copies those histograms extracted from ESD to this object | |
774 | ||
bf58cbde | 775 | for (Int_t i=0; i<fgkUEHists; i++) |
776 | if (GetUEHist(i)) | |
777 | GetUEHist(i)->CopyReconstructedData(from->GetUEHist(i)); | |
b1831bcb | 778 | } |
6f803f6c | 779 | |
2a910c25 | 780 | void AliUEHistograms::ExtendTrackingEfficiency(Bool_t verbose) |
6f803f6c | 781 | { |
782 | // delegates to AliUEHists | |
783 | ||
bf58cbde | 784 | for (Int_t i=0; i<fgkUEHists; i++) |
785 | if (GetUEHist(i)) | |
2a910c25 | 786 | GetUEHist(i)->ExtendTrackingEfficiency(verbose); |
6f803f6c | 787 | } |
788 | ||
c7245604 | 789 | void AliUEHistograms::Scale(Double_t factor) |
790 | { | |
791 | // scales all contained histograms by the given factor | |
792 | ||
793 | for (Int_t i=0; i<fgkUEHists; i++) | |
794 | if (GetUEHist(i)) | |
795 | GetUEHist(i)->Scale(factor); | |
796 | ||
797 | TList list; | |
798 | list.Add(fCorrelationpT); | |
799 | list.Add(fCorrelationEta); | |
800 | list.Add(fCorrelationPhi); | |
801 | list.Add(fCorrelationR); | |
802 | list.Add(fCorrelationLeading2Phi); | |
803 | list.Add(fCorrelationMultiplicity); | |
804 | list.Add(fEventCount); | |
805 | list.Add(fEventCountDifferential); | |
806 | list.Add(fVertexContributors); | |
807 | list.Add(fCentralityDistribution); | |
2a910c25 | 808 | list.Add(fITSClusterMap); |
670e1d49 | 809 | list.Add(fTwoTrackDistancePt[0]); |
810 | list.Add(fTwoTrackDistancePt[1]); | |
c7245604 | 811 | |
812 | for (Int_t i=0; i<list.GetEntries(); i++) | |
813 | ((TH1*) list.At(i))->Scale(factor); | |
814 | } | |
815 | ||
816 | void AliUEHistograms::Reset() | |
817 | { | |
818 | // delegates to AliUEHists | |
819 | ||
820 | for (Int_t i=0; i<fgkUEHists; i++) | |
821 | if (GetUEHist(i)) | |
822 | GetUEHist(i)->Reset(); | |
823 | } | |
1bba939a | 824 | |
c5c840c5 | 825 | void AliUEHistograms::TwoTrackEfficiency(TObjArray* tracks, TObjArray* mixed, Float_t bSign) |
1bba939a | 826 | { |
c5c840c5 | 827 | // takes the input list <tracks> and fills histograms to study two two-track efficiency effects |
828 | // fTwoTrackDistancePt[i] (i = 0 same, i = 1 mixed) | |
829 | // | |
830 | // the variables have been developed by the HBT group | |
831 | // see e.g. https://indico.cern.ch/materialDisplay.py?contribId=36&sessionId=6&materialId=slides&confId=142700 | |
1bba939a | 832 | |
670e1d49 | 833 | if (!fTwoTrackDistancePt[0]) |
1bba939a | 834 | { |
b8abd4b7 | 835 | fTwoTrackDistancePt[0] = new TH3F("fTwoTrackDistancePt[0]", ";#Delta#eta;#Delta#varphi^{*}_{min};#Delta p_{T}", 100, -0.05, 0.05, 400, -0.2, 0.2, 20, 0, 10); |
670e1d49 | 836 | fTwoTrackDistancePt[1] = (TH3F*) fTwoTrackDistancePt[0]->Clone("fTwoTrackDistancePt[1]"); |
1bba939a | 837 | } |
6840ec31 | 838 | |
1bba939a | 839 | // Eta() is extremely time consuming, therefore cache it for the inner loop here: |
c5c840c5 | 840 | TArrayF eta1(tracks->GetEntriesFast()); |
1bba939a | 841 | for (Int_t i=0; i<tracks->GetEntriesFast(); i++) |
c5c840c5 | 842 | eta1[i] = ((AliVParticle*) tracks->At(i))->Eta(); |
843 | ||
844 | Int_t jMax = tracks->GetEntriesFast(); | |
845 | if (mixed) | |
846 | jMax = mixed->GetEntriesFast(); | |
847 | ||
848 | TArrayF eta2(jMax); | |
849 | if (!mixed) | |
850 | eta2 = eta1; | |
851 | else | |
852 | for (Int_t i=0; i<mixed->GetEntriesFast(); i++) | |
853 | eta2[i] = ((AliVParticle*) mixed->At(i))->Eta(); | |
1bba939a | 854 | |
855 | for (Int_t i=0; i<tracks->GetEntriesFast(); i++) | |
856 | { | |
857 | AliVParticle* particle1 = (AliVParticle*) tracks->At(i); | |
f11dcf7d | 858 | Float_t phi1 = particle1->Phi(); |
859 | Float_t pt1 = particle1->Pt(); | |
860 | Float_t charge1 = particle1->Charge(); | |
0a439e96 | 861 | |
c5c840c5 | 862 | for (Int_t j=0; j<jMax; j++) |
1bba939a | 863 | { |
c5c840c5 | 864 | if (!mixed && i == j) |
0a439e96 | 865 | continue; |
866 | ||
c5c840c5 | 867 | AliVParticle* particle2 = 0; |
868 | if (mixed) | |
869 | particle2 = (AliVParticle*) mixed->At(j); | |
870 | else | |
871 | particle2 = (AliVParticle*) tracks->At(j); | |
f11dcf7d | 872 | Float_t phi2 = particle2->Phi(); |
873 | Float_t pt2 = particle2->Pt(); | |
874 | Float_t charge2 = particle2->Charge(); | |
1bba939a | 875 | |
0a439e96 | 876 | if (pt2 > pt1) |
877 | continue; | |
878 | ||
879 | // Double_t dpt = TMath::Abs(pt1 - pt2); | |
c5c840c5 | 880 | Float_t deta = eta1[i] - eta2[j]; |
f11dcf7d | 881 | Float_t detaabs = TMath::Abs(deta); |
1bba939a | 882 | |
883 | // optimization | |
6840ec31 | 884 | if (detaabs > 0.05 && (pt1 < 8 || pt1 > 15)) |
885 | continue; | |
1bba939a | 886 | |
f11dcf7d | 887 | Float_t dphistarmin = 1e5; |
888 | Float_t dphistarminabs = 1e5; | |
1bba939a | 889 | |
890 | for (Double_t rad=0.8; rad<2.51; rad+=0.01) | |
891 | { | |
6840ec31 | 892 | Float_t dphistar = phi1 - phi2 - TMath::ASin(charge1 * 0.075 * bSign * rad / pt1) + TMath::ASin(charge2 * 0.075 * bSign * rad / pt2); |
f11dcf7d | 893 | Float_t dphistarabs = TMath::Abs(dphistar); |
1bba939a | 894 | |
895 | if (dphistarabs < dphistarminabs) | |
896 | { | |
897 | dphistarmin = dphistar; | |
898 | dphistarminabs = dphistarabs; | |
899 | } | |
1bba939a | 900 | } |
a4a4d54e | 901 | |
6840ec31 | 902 | Float_t fillPt = pt2; |
903 | ||
904 | // analyze region for IAA paper | |
905 | if (pt1 < 8 || pt1 > 15) | |
906 | fillPt = 0.25; | |
907 | ||
c5c840c5 | 908 | if (!mixed) |
909 | fTwoTrackDistancePt[0]->Fill(deta, dphistarmin, fillPt); | |
1bba939a | 910 | else |
c5c840c5 | 911 | fTwoTrackDistancePt[1]->Fill(deta, dphistarmin, fillPt); |
1bba939a | 912 | } |
913 | } | |
1bba939a | 914 | } |