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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 | ||
68 | TString histogramsStr(histograms); | |
69 | ||
70 | if (histogramsStr.Contains("1")) | |
71 | fNumberDensitypT = new AliUEHist("NumberDensitypT"); | |
72 | if (histogramsStr.Contains("2")) | |
73 | fSumpT = new AliUEHist("SumpT"); | |
a75aacd6 | 74 | |
bf58cbde | 75 | if (histogramsStr.Contains("3")) |
76 | fNumberDensityPhi = new AliUEHist("NumberDensityPhi"); | |
77 | else if (histogramsStr.Contains("4")) | |
78 | fNumberDensityPhi = new AliUEHist("NumberDensityPhiCentrality"); | |
a75aacd6 | 79 | |
80 | // do not add this hists to the directory | |
81 | Bool_t oldStatus = TH1::AddDirectoryStatus(); | |
82 | TH1::AddDirectory(kFALSE); | |
83 | ||
c7245604 | 84 | if (!histogramsStr.Contains("4")) |
85 | { | |
86 | fCorrelationpT = new TH2F("fCorrelationpT", ";p_{T,lead} (MC);p_{T,lead} (RECO)", 200, 0, 50, 200, 0, 50); | |
2a910c25 | 87 | fCorrelationEta = new TH2F("fCorrelationEta", ";#eta_{lead} (MC);#eta_{T,lead} (RECO)", 200, -1, 1, 200, -1, 1); |
88 | fCorrelationPhi = new TH2F("fCorrelationPhi", ";#phi_{lead} (MC);#phi_{T,lead} (RECO)", 200, 0, TMath::TwoPi(), 200, 0, TMath::TwoPi()); | |
c7245604 | 89 | } |
90 | else | |
91 | { | |
2a910c25 | 92 | fCorrelationpT = new TH2F("fCorrelationpT", ";Centrality;p_{T} (RECO)", 100, 0, 100.001, 200, 0, 50); |
93 | fCorrelationEta = new TH2F("fCorrelationEta", ";Centrality;#eta (RECO)", 100, 0, 100.001, 200, -1, 1); | |
94 | fCorrelationPhi = new TH2F("fCorrelationPhi", ";Centrality;#phi (RECO)", 100, 0, 100.001, 200, 0, TMath::TwoPi()); | |
c7245604 | 95 | } |
96 | ||
a75aacd6 | 97 | fCorrelationR = new TH2F("fCorrelationR", ";R;p_{T,lead} (MC)", 200, 0, 2, 200, 0, 50); |
98 | fCorrelationLeading2Phi = new TH2F("fCorrelationLeading2Phi", ";#Delta #phi;p_{T,lead} (MC)", 200, -TMath::Pi(), TMath::Pi(), 200, 0, 50); | |
99 | fCorrelationMultiplicity = new TH2F("fCorrelationMultiplicity", ";MC tracks;Reco tracks", 100, -0.5, 99.5, 100, -0.5, 99.5); | |
100 | ||
2a910c25 | 101 | if (!histogramsStr.Contains("4")) |
102 | { | |
103 | fEventCount = new TH2F("fEventCount", ";step;event type;count", AliUEHist::fgkCFSteps+2, -2.5, -0.5 + AliUEHist::fgkCFSteps, 3, -0.5, 2.5); | |
104 | fEventCount->GetYaxis()->SetBinLabel(1, "ND"); | |
105 | fEventCount->GetYaxis()->SetBinLabel(2, "SD"); | |
106 | fEventCount->GetYaxis()->SetBinLabel(3, "DD"); | |
107 | } | |
108 | else | |
109 | { | |
110 | 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()); | |
111 | } | |
a75aacd6 | 112 | |
113 | 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); | |
114 | fEventCountDifferential->GetZaxis()->SetBinLabel(1, "ND"); | |
115 | fEventCountDifferential->GetZaxis()->SetBinLabel(2, "SD"); | |
116 | fEventCountDifferential->GetZaxis()->SetBinLabel(3, "DD"); | |
117 | ||
118 | fVertexContributors = new TH1F("fVertexContributors", ";contributors;count", 100, -0.5, 99.5); | |
119 | ||
664d6288 | 120 | if (fNumberDensityPhi) |
121 | fCentralityDistribution = new TH1F("fCentralityDistribution", ";;count", fNumberDensityPhi->GetEventHist()->GetNBins(1), fNumberDensityPhi->GetEventHist()->GetAxis(1, 0)->GetXbins()->GetArray()); | |
bf58cbde | 122 | |
2a910c25 | 123 | fITSClusterMap = new TH3F("fITSClusterMap", "; its cluster map; centrality; pT", 256, -0.5, 255.5, 20, 0, 100.001, 100, 0, 20); |
124 | ||
a75aacd6 | 125 | TH1::AddDirectory(oldStatus); |
126 | } | |
127 | ||
d1c75d06 | 128 | //_____________________________________________________________________________ |
129 | AliUEHistograms::AliUEHistograms(const AliUEHistograms &c) : | |
e0331fd9 | 130 | TNamed(fName, fTitle), |
d1c75d06 | 131 | fNumberDensitypT(0), |
132 | fSumpT(0), | |
133 | fNumberDensityPhi(0), | |
134 | fCorrelationpT(0), | |
135 | fCorrelationEta(0), | |
136 | fCorrelationPhi(0), | |
137 | fCorrelationR(0), | |
138 | fCorrelationLeading2Phi(0), | |
139 | fCorrelationMultiplicity(0), | |
140 | fEventCount(0), | |
141 | fEventCountDifferential(0), | |
bf58cbde | 142 | fVertexContributors(0), |
c7245604 | 143 | fCentralityDistribution(0), |
2a910c25 | 144 | fITSClusterMap(0), |
85bfac17 | 145 | fSelectCharge(0), |
146 | fRunNumber(0) | |
d1c75d06 | 147 | { |
148 | // | |
149 | // AliUEHistograms copy constructor | |
150 | // | |
151 | ||
152 | ((AliUEHistograms &) c).Copy(*this); | |
153 | } | |
154 | ||
a75aacd6 | 155 | //____________________________________________________________________ |
156 | AliUEHistograms::~AliUEHistograms() | |
157 | { | |
158 | // Destructor | |
159 | ||
160 | if (fNumberDensitypT) | |
161 | { | |
162 | delete fNumberDensitypT; | |
163 | fNumberDensitypT = 0; | |
164 | } | |
165 | ||
166 | if (fSumpT) | |
167 | { | |
168 | delete fSumpT; | |
169 | fSumpT = 0; | |
170 | } | |
171 | ||
172 | if (fNumberDensityPhi) | |
173 | { | |
174 | delete fNumberDensityPhi; | |
175 | fNumberDensityPhi = 0; | |
176 | } | |
177 | ||
178 | if (fCorrelationpT) | |
179 | { | |
180 | delete fCorrelationpT; | |
181 | fCorrelationpT = 0; | |
182 | } | |
183 | ||
184 | if (fCorrelationEta) | |
185 | { | |
186 | delete fCorrelationEta; | |
187 | fCorrelationEta = 0; | |
188 | } | |
189 | ||
190 | if (fCorrelationPhi) | |
191 | { | |
192 | delete fCorrelationPhi; | |
193 | fCorrelationPhi = 0; | |
194 | } | |
195 | ||
196 | if (fCorrelationR) | |
197 | { | |
198 | delete fCorrelationR; | |
199 | fCorrelationR = 0; | |
200 | } | |
201 | ||
202 | if (fCorrelationLeading2Phi) | |
203 | { | |
204 | delete fCorrelationLeading2Phi; | |
205 | fCorrelationLeading2Phi = 0; | |
206 | } | |
207 | ||
208 | if (fCorrelationMultiplicity) | |
209 | { | |
210 | delete fCorrelationMultiplicity; | |
211 | fCorrelationMultiplicity = 0; | |
212 | } | |
213 | ||
214 | if (fEventCount) | |
215 | { | |
216 | delete fEventCount; | |
217 | fEventCount = 0; | |
218 | } | |
219 | ||
220 | if (fEventCountDifferential) | |
221 | { | |
222 | delete fEventCountDifferential; | |
223 | fEventCountDifferential = 0; | |
224 | } | |
225 | ||
226 | if (fVertexContributors) | |
227 | { | |
228 | delete fVertexContributors; | |
229 | fVertexContributors = 0; | |
230 | } | |
bf58cbde | 231 | |
232 | if (fCentralityDistribution) | |
233 | { | |
234 | delete fCentralityDistribution; | |
235 | fCentralityDistribution = 0; | |
236 | } | |
2a910c25 | 237 | |
238 | if (fITSClusterMap) | |
239 | { | |
240 | delete fITSClusterMap; | |
241 | fITSClusterMap = 0; | |
242 | } | |
a75aacd6 | 243 | } |
244 | ||
ada1a03f | 245 | AliUEHist* AliUEHistograms::GetUEHist(Int_t id) |
246 | { | |
247 | // returns AliUEHist object, useful for loops | |
248 | ||
249 | switch (id) | |
250 | { | |
251 | case 0: return fNumberDensitypT; break; | |
252 | case 1: return fSumpT; break; | |
253 | case 2: return fNumberDensityPhi; break; | |
254 | } | |
255 | ||
256 | return 0; | |
257 | } | |
258 | ||
a75aacd6 | 259 | //____________________________________________________________________ |
260 | Int_t AliUEHistograms::CountParticles(TList* list, Float_t ptMin) | |
261 | { | |
262 | // counts the number of particles in the list with a pT above ptMin | |
263 | // TODO eta cut needed here? | |
264 | ||
265 | Int_t count = 0; | |
266 | for (Int_t j=0; j<list->GetEntries(); j++) | |
267 | if (((AliVParticle*) list->At(j))->Pt() > ptMin) | |
268 | count++; | |
269 | ||
270 | return count; | |
271 | } | |
272 | ||
273 | //____________________________________________________________________ | |
85bfac17 | 274 | void AliUEHistograms::Fill(Int_t eventType, Float_t zVtx, AliUEHist::CFStep step, AliVParticle* leading, TList* toward, TList* away, TList* min, TList* max) |
a75aacd6 | 275 | { |
276 | // fills the UE event histograms | |
277 | // | |
278 | // 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 | |
279 | ||
280 | // if leading is not set, just fill event statistics | |
281 | if (leading) | |
282 | { | |
283 | Int_t multiplicity = 0; | |
284 | ||
285 | // TODO configurable? | |
286 | Float_t ptMin = 0.15; | |
287 | if (leading->Pt() > ptMin) | |
288 | multiplicity++; | |
289 | ||
290 | multiplicity += CountParticles(toward, ptMin); | |
291 | multiplicity += CountParticles(away, ptMin); | |
292 | multiplicity += CountParticles(min, ptMin); | |
293 | multiplicity += CountParticles(max, ptMin); | |
294 | ||
85bfac17 | 295 | FillRegion(AliUEHist::kToward, zVtx, step, leading, toward, multiplicity); |
296 | FillRegion(AliUEHist::kAway, zVtx, step, leading, away, multiplicity); | |
297 | FillRegion(AliUEHist::kMin, zVtx, step, leading, min, multiplicity); | |
298 | FillRegion(AliUEHist::kMax, zVtx, step, leading, max, multiplicity); | |
b1831bcb | 299 | |
85bfac17 | 300 | Double_t vars[3]; |
a75aacd6 | 301 | vars[0] = leading->Pt(); |
302 | vars[1] = multiplicity; | |
85bfac17 | 303 | vars[2] = zVtx; |
bf58cbde | 304 | for (Int_t i=0; i<fgkUEHists; i++) |
305 | if (GetUEHist(i)) | |
306 | GetUEHist(i)->GetEventHist()->Fill(vars, step); | |
a75aacd6 | 307 | |
308 | fEventCountDifferential->Fill(leading->Pt(), step, eventType); | |
309 | } | |
310 | ||
311 | FillEvent(eventType, step); | |
312 | } | |
313 | ||
314 | //____________________________________________________________________ | |
85bfac17 | 315 | void AliUEHistograms::FillRegion(AliUEHist::Region region, Float_t zVtx, AliUEHist::CFStep step, AliVParticle* leading, TList* list, Int_t multiplicity) |
a75aacd6 | 316 | { |
317 | // loops over AliVParticles in list and fills the given region at the given step | |
318 | // | |
319 | // See also Fill(...) | |
320 | ||
321 | for (Int_t i=0; i<list->GetEntries(); i++) | |
322 | { | |
323 | AliVParticle* particle = (AliVParticle*) list->At(i); | |
324 | ||
85bfac17 | 325 | Double_t vars[6]; |
a75aacd6 | 326 | vars[0] = particle->Eta(); |
327 | vars[1] = particle->Pt(); | |
328 | vars[2] = leading->Pt(); | |
329 | vars[3] = multiplicity; | |
330 | vars[4] = leading->Phi() - particle->Phi(); | |
2ac8dc5c | 331 | if (vars[4] > 1.5 * TMath::Pi()) |
332 | vars[4] -= TMath::TwoPi(); | |
333 | if (vars[4] < -0.5 * TMath::Pi()) | |
334 | vars[4] += TMath::TwoPi(); | |
85bfac17 | 335 | vars[5] = zVtx; |
336 | ||
bf58cbde | 337 | if (fNumberDensitypT) |
338 | fNumberDensitypT->GetTrackHist(region)->Fill(vars, step); | |
339 | ||
340 | if (fSumpT) | |
341 | fSumpT->GetTrackHist(region)->Fill(vars, step, particle->Pt()); | |
a75aacd6 | 342 | |
343 | // fill all in toward region (is anyway as function of delta phi!) | |
bf58cbde | 344 | if (fNumberDensityPhi) |
345 | fNumberDensityPhi->GetTrackHist(AliUEHist::kToward)->Fill(vars, step); | |
a75aacd6 | 346 | } |
347 | } | |
348 | ||
349 | //____________________________________________________________________ | |
350 | void AliUEHistograms::Fill(AliVParticle* leadingMC, AliVParticle* leadingReco) | |
351 | { | |
352 | // fills the correlation histograms | |
353 | ||
354 | if (leadingMC) | |
355 | { | |
356 | fCorrelationpT->Fill(leadingMC->Pt(), leadingReco->Pt()); | |
357 | if (leadingMC->Pt() > 0.5) | |
358 | { | |
359 | fCorrelationEta->Fill(leadingMC->Eta(), leadingReco->Eta()); | |
360 | fCorrelationPhi->Fill(leadingMC->Phi(), leadingReco->Phi()); | |
361 | } | |
362 | ||
363 | Float_t phiDiff = leadingMC->Phi() - leadingReco->Phi(); | |
364 | if (phiDiff > TMath::Pi()) | |
365 | phiDiff -= TMath::TwoPi(); | |
366 | if (phiDiff < -TMath::Pi()) | |
367 | phiDiff += TMath::TwoPi(); | |
368 | ||
369 | Float_t etaDiff = leadingMC->Eta() - leadingReco->Eta(); | |
370 | ||
371 | fCorrelationR->Fill(TMath::Sqrt(phiDiff * phiDiff + etaDiff * etaDiff), leadingMC->Pt()); | |
372 | fCorrelationLeading2Phi->Fill(phiDiff, leadingMC->Pt()); | |
373 | } | |
374 | else | |
375 | { | |
376 | fCorrelationpT->Fill(1.0, leadingReco->Pt()); | |
377 | if (leadingReco->Pt() > 0.5) | |
378 | { | |
379 | fCorrelationEta->Fill(0.0, leadingReco->Eta()); | |
380 | fCorrelationPhi->Fill(0.0, leadingReco->Phi()); | |
381 | } | |
382 | } | |
383 | } | |
bf58cbde | 384 | |
385 | //____________________________________________________________________ | |
85bfac17 | 386 | void AliUEHistograms::FillCorrelations(Double_t centrality, Float_t zVtx, AliUEHist::CFStep step, TSeqCollection* particles, TSeqCollection* mixed, Float_t weight, Bool_t firstTime) |
bf58cbde | 387 | { |
388 | // fills the fNumberDensityPhi histogram | |
389 | // | |
390 | // this function need a list of AliVParticles which contain the particles/tracks to be filled | |
e0331fd9 | 391 | // |
392 | // if mixed is non-0, mixed events are filled, the trigger particle is from particles, the associated from mixed | |
bf58cbde | 393 | |
394 | // if particles is not set, just fill event statistics | |
395 | if (particles) | |
396 | { | |
397 | for (Int_t i=0; i<particles->GetEntries(); i++) | |
398 | { | |
399 | AliVParticle* triggerParticle = (AliVParticle*) particles->At(i); | |
e0331fd9 | 400 | Int_t jMax = particles->GetEntries(); |
401 | if (mixed) | |
402 | jMax = mixed->GetEntries(); | |
403 | ||
c7245604 | 404 | if (!mixed) |
405 | { | |
406 | // QA | |
407 | fCorrelationpT->Fill(centrality, triggerParticle->Pt()); | |
408 | fCorrelationEta->Fill(centrality, triggerParticle->Eta()); | |
409 | fCorrelationPhi->Fill(centrality, triggerParticle->Phi()); | |
85bfac17 | 410 | /* if (dynamic_cast<AliAODTrack*>(triggerParticle)) |
411 | fITSClusterMap->Fill(((AliAODTrack*) triggerParticle)->GetITSClusterMap(), centrality, triggerParticle->Pt());*/ | |
c7245604 | 412 | } |
413 | ||
e0331fd9 | 414 | for (Int_t j=0; j<jMax; j++) |
bf58cbde | 415 | { |
e0331fd9 | 416 | if (!mixed && i == j) |
bf58cbde | 417 | continue; |
418 | ||
e0331fd9 | 419 | AliVParticle* particle = 0; |
420 | if (!mixed) | |
421 | particle = (AliVParticle*) particles->At(j); | |
422 | else | |
423 | particle = (AliVParticle*) mixed->At(j); | |
bf58cbde | 424 | |
2a910c25 | 425 | // 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) |
426 | if (mixed && triggerParticle == particle) | |
427 | continue; | |
428 | ||
c7245604 | 429 | if (particle->Pt() > triggerParticle->Pt()) |
430 | continue; | |
431 | ||
432 | if (fSelectCharge > 0) | |
433 | { | |
434 | // skip like sign | |
435 | if (fSelectCharge == 1 && particle->Charge() * triggerParticle->Charge() > 0) | |
436 | continue; | |
437 | ||
438 | // skip unlike sign | |
439 | if (fSelectCharge == 2 && particle->Charge() * triggerParticle->Charge() < 0) | |
440 | continue; | |
441 | } | |
442 | ||
85bfac17 | 443 | Double_t vars[6]; |
e0331fd9 | 444 | vars[0] = triggerParticle->Eta() - particle->Eta(); |
bf58cbde | 445 | vars[1] = particle->Pt(); |
446 | vars[2] = triggerParticle->Pt(); | |
447 | vars[3] = centrality; | |
448 | vars[4] = triggerParticle->Phi() - particle->Phi(); | |
449 | if (vars[4] > 1.5 * TMath::Pi()) | |
450 | vars[4] -= TMath::TwoPi(); | |
451 | if (vars[4] < -0.5 * TMath::Pi()) | |
452 | vars[4] += TMath::TwoPi(); | |
85bfac17 | 453 | vars[5] = zVtx; |
bf58cbde | 454 | |
c7245604 | 455 | // fill all in toward region and do not use the other regions |
456 | fNumberDensityPhi->GetTrackHist(AliUEHist::kToward)->Fill(vars, step, weight); | |
457 | } | |
bf58cbde | 458 | |
c7245604 | 459 | if (firstTime) |
460 | { | |
461 | // once per trigger particle | |
85bfac17 | 462 | Double_t vars[3]; |
c7245604 | 463 | vars[0] = triggerParticle->Pt(); |
464 | vars[1] = centrality; | |
85bfac17 | 465 | vars[2] = zVtx; |
c7245604 | 466 | fNumberDensityPhi->GetEventHist()->Fill(vars, step); |
c7245604 | 467 | } |
bf58cbde | 468 | } |
469 | } | |
470 | ||
471 | fCentralityDistribution->Fill(centrality); | |
2a910c25 | 472 | FillEvent(centrality, step); |
bf58cbde | 473 | } |
a75aacd6 | 474 | |
b1831bcb | 475 | //____________________________________________________________________ |
c7245604 | 476 | void AliUEHistograms::FillTrackingEfficiency(TObjArray* mc, TObjArray* recoPrim, TObjArray* recoAll, Int_t particleType, Double_t centrality) |
b1831bcb | 477 | { |
478 | // fills the tracking efficiency objects | |
479 | // | |
480 | // mc: all primary MC particles | |
481 | // recoPrim: reconstructed primaries (again MC particles) | |
482 | // recoAll: reconstructed (again MC particles) | |
483 | // particleType is: 0 for pion, 1 for kaon, 2 for proton, 3 for others | |
484 | ||
485 | for (Int_t step=0; step<3; step++) | |
486 | { | |
487 | TObjArray* list = mc; | |
488 | if (step == 1) | |
489 | list = recoPrim; | |
490 | else if (step == 2) | |
491 | list = recoAll; | |
492 | ||
493 | for (Int_t i=0; i<list->GetEntries(); i++) | |
494 | { | |
495 | AliVParticle* particle = (AliVParticle*) list->At(i); | |
c7245604 | 496 | Double_t vars[4]; |
b1831bcb | 497 | vars[0] = particle->Eta(); |
498 | vars[1] = particle->Pt(); | |
499 | vars[2] = particleType; | |
c7245604 | 500 | vars[3] = centrality; |
b1831bcb | 501 | |
bf58cbde | 502 | for (Int_t j=0; j<fgkUEHists; j++) |
503 | if (GetUEHist(j)) | |
504 | GetUEHist(j)->GetTrackHistEfficiency()->Fill(vars, step); | |
b1831bcb | 505 | } |
506 | } | |
507 | } | |
508 | ||
a75aacd6 | 509 | //____________________________________________________________________ |
510 | void AliUEHistograms::FillEvent(Int_t eventType, Int_t step) | |
511 | { | |
512 | // fills the number of events at the given step and the given enty type | |
513 | // | |
514 | // WARNING: This function is called from Fill, so only call it for steps where Fill is not called | |
515 | ||
516 | fEventCount->Fill(step, eventType); | |
517 | } | |
518 | ||
2a910c25 | 519 | //____________________________________________________________________ |
520 | void AliUEHistograms::FillEvent(Double_t centrality, Int_t step) | |
521 | { | |
522 | // fills the number of events at the given step and the given centrality | |
523 | // | |
524 | // WARNING: This function is called from Fill, so only call it for steps where Fill is not called | |
525 | ||
526 | fEventCount->Fill(step, centrality); | |
527 | } | |
528 | ||
a75aacd6 | 529 | //____________________________________________________________________ |
530 | void AliUEHistograms::SetEtaRange(Float_t etaMin, Float_t etaMax) | |
531 | { | |
532 | // sets eta min and max for all contained AliUEHist classes | |
533 | ||
bf58cbde | 534 | for (Int_t i=0; i<fgkUEHists; i++) |
535 | if (GetUEHist(i)) | |
536 | GetUEHist(i)->SetEtaRange(etaMin, etaMax); | |
a75aacd6 | 537 | } |
538 | ||
539 | //____________________________________________________________________ | |
540 | void AliUEHistograms::SetPtRange(Float_t ptMin, Float_t ptMax) | |
541 | { | |
542 | // sets pT min and max for all contained AliUEHist classes | |
543 | ||
bf58cbde | 544 | for (Int_t i=0; i<fgkUEHists; i++) |
545 | if (GetUEHist(i)) | |
546 | GetUEHist(i)->SetPtRange(ptMin, ptMax); | |
a75aacd6 | 547 | } |
548 | ||
85bfac17 | 549 | //____________________________________________________________________ |
550 | void AliUEHistograms::SetZVtxRange(Float_t min, Float_t max) | |
551 | { | |
552 | // sets pT min and max for all contained AliUEHist classes | |
553 | ||
554 | for (Int_t i=0; i<fgkUEHists; i++) | |
555 | if (GetUEHist(i)) | |
556 | GetUEHist(i)->SetZVtxRange(min, max); | |
557 | } | |
558 | ||
144bd037 | 559 | //____________________________________________________________________ |
560 | void AliUEHistograms::SetContaminationEnhancement(TH1F* hist) | |
561 | { | |
562 | // sets the contamination enhancement histogram in all contained AliUEHist classes | |
563 | ||
bf58cbde | 564 | for (Int_t i=0; i<fgkUEHists; i++) |
565 | if (GetUEHist(i)) | |
566 | GetUEHist(i)->SetContaminationEnhancement(hist); | |
144bd037 | 567 | } |
568 | ||
a75aacd6 | 569 | //____________________________________________________________________ |
570 | void AliUEHistograms::SetCombineMinMax(Bool_t flag) | |
571 | { | |
572 | // sets pT min and max for all contained AliUEHist classes | |
573 | ||
bf58cbde | 574 | for (Int_t i=0; i<fgkUEHists; i++) |
575 | if (GetUEHist(i)) | |
576 | GetUEHist(i)->SetCombineMinMax(flag); | |
a75aacd6 | 577 | } |
578 | ||
579 | //____________________________________________________________________ | |
580 | void AliUEHistograms::Correct(AliUEHistograms* corrections) | |
581 | { | |
582 | // corrects the contained histograms by calling AliUEHist::Correct | |
583 | ||
bf58cbde | 584 | for (Int_t i=0; i<fgkUEHists; i++) |
585 | if (GetUEHist(i)) | |
586 | GetUEHist(i)->Correct(corrections->GetUEHist(i)); | |
a75aacd6 | 587 | } |
588 | ||
589 | //____________________________________________________________________ | |
590 | AliUEHistograms &AliUEHistograms::operator=(const AliUEHistograms &c) | |
591 | { | |
592 | // assigment operator | |
593 | ||
594 | if (this != &c) | |
595 | ((AliUEHistograms &) c).Copy(*this); | |
596 | ||
597 | return *this; | |
598 | } | |
599 | ||
600 | //____________________________________________________________________ | |
601 | void AliUEHistograms::Copy(TObject& c) const | |
602 | { | |
603 | // copy function | |
604 | ||
605 | AliUEHistograms& target = (AliUEHistograms &) c; | |
606 | ||
607 | if (fNumberDensitypT) | |
608 | target.fNumberDensitypT = dynamic_cast<AliUEHist*> (fNumberDensitypT->Clone()); | |
609 | ||
610 | if (fSumpT) | |
611 | target.fSumpT = dynamic_cast<AliUEHist*> (fSumpT->Clone()); | |
612 | ||
613 | if (fNumberDensityPhi) | |
614 | target.fNumberDensityPhi = dynamic_cast<AliUEHist*> (fNumberDensityPhi->Clone()); | |
615 | ||
616 | if (fCorrelationpT) | |
617 | target.fCorrelationpT = dynamic_cast<TH2F*> (fCorrelationpT->Clone()); | |
618 | ||
619 | if (fCorrelationEta) | |
620 | target.fCorrelationEta = dynamic_cast<TH2F*> (fCorrelationEta->Clone()); | |
621 | ||
622 | if (fCorrelationPhi) | |
623 | target.fCorrelationPhi = dynamic_cast<TH2F*> (fCorrelationPhi->Clone()); | |
624 | ||
625 | if (fCorrelationR) | |
626 | target.fCorrelationR = dynamic_cast<TH2F*> (fCorrelationR->Clone()); | |
627 | ||
628 | if (fCorrelationLeading2Phi) | |
629 | target.fCorrelationLeading2Phi = dynamic_cast<TH2F*> (fCorrelationLeading2Phi->Clone()); | |
630 | ||
631 | if (fCorrelationMultiplicity) | |
632 | target.fCorrelationMultiplicity = dynamic_cast<TH2F*> (fCorrelationMultiplicity->Clone()); | |
633 | ||
634 | if (fEventCount) | |
635 | target.fEventCount = dynamic_cast<TH2F*> (fEventCount->Clone()); | |
636 | ||
637 | if (fEventCountDifferential) | |
638 | target.fEventCountDifferential = dynamic_cast<TH3F*> (fEventCountDifferential->Clone()); | |
639 | ||
640 | if (fVertexContributors) | |
641 | target.fVertexContributors = dynamic_cast<TH1F*> (fVertexContributors->Clone()); | |
bf58cbde | 642 | |
643 | if (fCentralityDistribution) | |
644 | target.fCentralityDistribution = dynamic_cast<TH1F*> (fCentralityDistribution->Clone()); | |
c7245604 | 645 | |
2a910c25 | 646 | if (fITSClusterMap) |
647 | target.fITSClusterMap = dynamic_cast<TH3F*> (fITSClusterMap->Clone()); | |
648 | ||
c7245604 | 649 | target.fSelectCharge = fSelectCharge; |
85bfac17 | 650 | target.fRunNumber = fRunNumber; |
a75aacd6 | 651 | } |
652 | ||
653 | //____________________________________________________________________ | |
654 | Long64_t AliUEHistograms::Merge(TCollection* list) | |
655 | { | |
656 | // Merge a list of AliUEHistograms objects with this (needed for | |
657 | // PROOF). | |
658 | // Returns the number of merged objects (including this). | |
659 | ||
660 | if (!list) | |
661 | return 0; | |
662 | ||
663 | if (list->IsEmpty()) | |
664 | return 1; | |
665 | ||
666 | TIterator* iter = list->MakeIterator(); | |
667 | TObject* obj; | |
668 | ||
669 | // collections of objects | |
2a910c25 | 670 | const Int_t kMaxLists = 14; |
a75aacd6 | 671 | TList* lists[kMaxLists]; |
672 | ||
673 | for (Int_t i=0; i<kMaxLists; i++) | |
674 | lists[i] = new TList; | |
675 | ||
676 | Int_t count = 0; | |
677 | while ((obj = iter->Next())) { | |
678 | ||
679 | AliUEHistograms* entry = dynamic_cast<AliUEHistograms*> (obj); | |
680 | if (entry == 0) | |
681 | continue; | |
682 | ||
bf58cbde | 683 | if (entry->fNumberDensitypT) |
684 | lists[0]->Add(entry->fNumberDensitypT); | |
685 | if (entry->fSumpT) | |
686 | lists[1]->Add(entry->fSumpT); | |
687 | if (entry->fNumberDensityPhi) | |
688 | lists[2]->Add(entry->fNumberDensityPhi); | |
a75aacd6 | 689 | lists[3]->Add(entry->fCorrelationpT); |
690 | lists[4]->Add(entry->fCorrelationEta); | |
691 | lists[5]->Add(entry->fCorrelationPhi); | |
692 | lists[6]->Add(entry->fCorrelationR); | |
693 | lists[7]->Add(entry->fCorrelationLeading2Phi); | |
694 | lists[8]->Add(entry->fCorrelationMultiplicity); | |
695 | lists[9]->Add(entry->fEventCount); | |
696 | lists[10]->Add(entry->fEventCountDifferential); | |
697 | lists[11]->Add(entry->fVertexContributors); | |
bf58cbde | 698 | lists[12]->Add(entry->fCentralityDistribution); |
2a910c25 | 699 | lists[13]->Add(entry->fITSClusterMap); |
a75aacd6 | 700 | |
701 | count++; | |
702 | } | |
703 | ||
bf58cbde | 704 | if (fNumberDensitypT) |
705 | fNumberDensitypT->Merge(lists[0]); | |
706 | if (fSumpT) | |
707 | fSumpT->Merge(lists[1]); | |
708 | if (fNumberDensityPhi) | |
709 | fNumberDensityPhi->Merge(lists[2]); | |
a75aacd6 | 710 | fCorrelationpT->Merge(lists[3]); |
711 | fCorrelationEta->Merge(lists[4]); | |
712 | fCorrelationPhi->Merge(lists[5]); | |
713 | fCorrelationR->Merge(lists[6]); | |
714 | fCorrelationLeading2Phi->Merge(lists[7]); | |
715 | fCorrelationMultiplicity->Merge(lists[8]); | |
716 | fEventCount->Merge(lists[9]); | |
717 | fEventCountDifferential->Merge(lists[10]); | |
718 | fVertexContributors->Merge(lists[11]); | |
bf58cbde | 719 | fCentralityDistribution->Merge(lists[12]); |
2a910c25 | 720 | fITSClusterMap->Merge(lists[13]); |
a75aacd6 | 721 | |
722 | for (Int_t i=0; i<kMaxLists; i++) | |
723 | delete lists[i]; | |
724 | ||
725 | return count+1; | |
726 | } | |
b1831bcb | 727 | |
728 | void AliUEHistograms::CopyReconstructedData(AliUEHistograms* from) | |
729 | { | |
730 | // copies those histograms extracted from ESD to this object | |
731 | ||
bf58cbde | 732 | for (Int_t i=0; i<fgkUEHists; i++) |
733 | if (GetUEHist(i)) | |
734 | GetUEHist(i)->CopyReconstructedData(from->GetUEHist(i)); | |
b1831bcb | 735 | } |
6f803f6c | 736 | |
2a910c25 | 737 | void AliUEHistograms::ExtendTrackingEfficiency(Bool_t verbose) |
6f803f6c | 738 | { |
739 | // delegates to AliUEHists | |
740 | ||
bf58cbde | 741 | for (Int_t i=0; i<fgkUEHists; i++) |
742 | if (GetUEHist(i)) | |
2a910c25 | 743 | GetUEHist(i)->ExtendTrackingEfficiency(verbose); |
6f803f6c | 744 | } |
745 | ||
c7245604 | 746 | void AliUEHistograms::Scale(Double_t factor) |
747 | { | |
748 | // scales all contained histograms by the given factor | |
749 | ||
750 | for (Int_t i=0; i<fgkUEHists; i++) | |
751 | if (GetUEHist(i)) | |
752 | GetUEHist(i)->Scale(factor); | |
753 | ||
754 | TList list; | |
755 | list.Add(fCorrelationpT); | |
756 | list.Add(fCorrelationEta); | |
757 | list.Add(fCorrelationPhi); | |
758 | list.Add(fCorrelationR); | |
759 | list.Add(fCorrelationLeading2Phi); | |
760 | list.Add(fCorrelationMultiplicity); | |
761 | list.Add(fEventCount); | |
762 | list.Add(fEventCountDifferential); | |
763 | list.Add(fVertexContributors); | |
764 | list.Add(fCentralityDistribution); | |
2a910c25 | 765 | list.Add(fITSClusterMap); |
c7245604 | 766 | |
767 | for (Int_t i=0; i<list.GetEntries(); i++) | |
768 | ((TH1*) list.At(i))->Scale(factor); | |
769 | } | |
770 | ||
771 | void AliUEHistograms::Reset() | |
772 | { | |
773 | // delegates to AliUEHists | |
774 | ||
775 | for (Int_t i=0; i<fgkUEHists; i++) | |
776 | if (GetUEHist(i)) | |
777 | GetUEHist(i)->Reset(); | |
778 | } |