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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"); | |
44af28f9 | 82 | else if (histogramsStr.Contains("5")) |
83 | fNumberDensityPhi = new AliUEHist("NumberDensityPhiCentralityVtx"); | |
a75aacd6 | 84 | |
85 | // do not add this hists to the directory | |
86 | Bool_t oldStatus = TH1::AddDirectoryStatus(); | |
87 | TH1::AddDirectory(kFALSE); | |
88 | ||
44af28f9 | 89 | if (!histogramsStr.Contains("4") && !histogramsStr.Contains("5")) |
c7245604 | 90 | { |
91 | fCorrelationpT = new TH2F("fCorrelationpT", ";p_{T,lead} (MC);p_{T,lead} (RECO)", 200, 0, 50, 200, 0, 50); | |
2a910c25 | 92 | fCorrelationEta = new TH2F("fCorrelationEta", ";#eta_{lead} (MC);#eta_{T,lead} (RECO)", 200, -1, 1, 200, -1, 1); |
a4a4d54e | 93 | fCorrelationPhi = new TH2F("fCorrelationPhi", ";#varphi_{lead} (MC);#varphi_{T,lead} (RECO)", 200, 0, TMath::TwoPi(), 200, 0, TMath::TwoPi()); |
c7245604 | 94 | } |
95 | else | |
96 | { | |
2a910c25 | 97 | fCorrelationpT = new TH2F("fCorrelationpT", ";Centrality;p_{T} (RECO)", 100, 0, 100.001, 200, 0, 50); |
98 | fCorrelationEta = new TH2F("fCorrelationEta", ";Centrality;#eta (RECO)", 100, 0, 100.001, 200, -1, 1); | |
a4a4d54e | 99 | fCorrelationPhi = new TH2F("fCorrelationPhi", ";Centrality;#varphi (RECO)", 100, 0, 100.001, 200, 0, TMath::TwoPi()); |
c7245604 | 100 | } |
101 | ||
a75aacd6 | 102 | fCorrelationR = new TH2F("fCorrelationR", ";R;p_{T,lead} (MC)", 200, 0, 2, 200, 0, 50); |
a4a4d54e | 103 | fCorrelationLeading2Phi = new TH2F("fCorrelationLeading2Phi", ";#Delta #varphi;p_{T,lead} (MC)", 200, -TMath::Pi(), TMath::Pi(), 200, 0, 50); |
a75aacd6 | 104 | fCorrelationMultiplicity = new TH2F("fCorrelationMultiplicity", ";MC tracks;Reco tracks", 100, -0.5, 99.5, 100, -0.5, 99.5); |
105 | ||
44af28f9 | 106 | if (!histogramsStr.Contains("4") && !histogramsStr.Contains("5")) |
2a910c25 | 107 | { |
108 | fEventCount = new TH2F("fEventCount", ";step;event type;count", AliUEHist::fgkCFSteps+2, -2.5, -0.5 + AliUEHist::fgkCFSteps, 3, -0.5, 2.5); | |
109 | fEventCount->GetYaxis()->SetBinLabel(1, "ND"); | |
110 | fEventCount->GetYaxis()->SetBinLabel(2, "SD"); | |
111 | fEventCount->GetYaxis()->SetBinLabel(3, "DD"); | |
112 | } | |
113 | else | |
114 | { | |
115 | 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()); | |
116 | } | |
a75aacd6 | 117 | |
118 | 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); | |
119 | fEventCountDifferential->GetZaxis()->SetBinLabel(1, "ND"); | |
120 | fEventCountDifferential->GetZaxis()->SetBinLabel(2, "SD"); | |
121 | fEventCountDifferential->GetZaxis()->SetBinLabel(3, "DD"); | |
122 | ||
123 | fVertexContributors = new TH1F("fVertexContributors", ";contributors;count", 100, -0.5, 99.5); | |
124 | ||
664d6288 | 125 | if (fNumberDensityPhi) |
126 | fCentralityDistribution = new TH1F("fCentralityDistribution", ";;count", fNumberDensityPhi->GetEventHist()->GetNBins(1), fNumberDensityPhi->GetEventHist()->GetAxis(1, 0)->GetXbins()->GetArray()); | |
bf58cbde | 127 | |
2a910c25 | 128 | fITSClusterMap = new TH3F("fITSClusterMap", "; its cluster map; centrality; pT", 256, -0.5, 255.5, 20, 0, 100.001, 100, 0, 20); |
129 | ||
a75aacd6 | 130 | TH1::AddDirectory(oldStatus); |
131 | } | |
132 | ||
d1c75d06 | 133 | //_____________________________________________________________________________ |
134 | AliUEHistograms::AliUEHistograms(const AliUEHistograms &c) : | |
e0331fd9 | 135 | TNamed(fName, fTitle), |
d1c75d06 | 136 | fNumberDensitypT(0), |
137 | fSumpT(0), | |
138 | fNumberDensityPhi(0), | |
139 | fCorrelationpT(0), | |
140 | fCorrelationEta(0), | |
141 | fCorrelationPhi(0), | |
142 | fCorrelationR(0), | |
143 | fCorrelationLeading2Phi(0), | |
144 | fCorrelationMultiplicity(0), | |
145 | fEventCount(0), | |
146 | fEventCountDifferential(0), | |
bf58cbde | 147 | fVertexContributors(0), |
c7245604 | 148 | fCentralityDistribution(0), |
2a910c25 | 149 | fITSClusterMap(0), |
85bfac17 | 150 | fSelectCharge(0), |
151 | fRunNumber(0) | |
d1c75d06 | 152 | { |
153 | // | |
154 | // AliUEHistograms copy constructor | |
155 | // | |
156 | ||
670e1d49 | 157 | fTwoTrackDistancePt[0] = 0; |
158 | fTwoTrackDistancePt[1] = 0; | |
1bba939a | 159 | |
d1c75d06 | 160 | ((AliUEHistograms &) c).Copy(*this); |
161 | } | |
162 | ||
a75aacd6 | 163 | //____________________________________________________________________ |
164 | AliUEHistograms::~AliUEHistograms() | |
165 | { | |
166 | // Destructor | |
167 | ||
168 | if (fNumberDensitypT) | |
169 | { | |
170 | delete fNumberDensitypT; | |
171 | fNumberDensitypT = 0; | |
172 | } | |
173 | ||
174 | if (fSumpT) | |
175 | { | |
176 | delete fSumpT; | |
177 | fSumpT = 0; | |
178 | } | |
179 | ||
180 | if (fNumberDensityPhi) | |
181 | { | |
182 | delete fNumberDensityPhi; | |
183 | fNumberDensityPhi = 0; | |
184 | } | |
185 | ||
186 | if (fCorrelationpT) | |
187 | { | |
188 | delete fCorrelationpT; | |
189 | fCorrelationpT = 0; | |
190 | } | |
191 | ||
192 | if (fCorrelationEta) | |
193 | { | |
194 | delete fCorrelationEta; | |
195 | fCorrelationEta = 0; | |
196 | } | |
197 | ||
198 | if (fCorrelationPhi) | |
199 | { | |
200 | delete fCorrelationPhi; | |
201 | fCorrelationPhi = 0; | |
202 | } | |
203 | ||
204 | if (fCorrelationR) | |
205 | { | |
206 | delete fCorrelationR; | |
207 | fCorrelationR = 0; | |
208 | } | |
209 | ||
210 | if (fCorrelationLeading2Phi) | |
211 | { | |
212 | delete fCorrelationLeading2Phi; | |
213 | fCorrelationLeading2Phi = 0; | |
214 | } | |
215 | ||
216 | if (fCorrelationMultiplicity) | |
217 | { | |
218 | delete fCorrelationMultiplicity; | |
219 | fCorrelationMultiplicity = 0; | |
220 | } | |
221 | ||
222 | if (fEventCount) | |
223 | { | |
224 | delete fEventCount; | |
225 | fEventCount = 0; | |
226 | } | |
227 | ||
228 | if (fEventCountDifferential) | |
229 | { | |
230 | delete fEventCountDifferential; | |
231 | fEventCountDifferential = 0; | |
232 | } | |
233 | ||
234 | if (fVertexContributors) | |
235 | { | |
236 | delete fVertexContributors; | |
237 | fVertexContributors = 0; | |
238 | } | |
bf58cbde | 239 | |
240 | if (fCentralityDistribution) | |
241 | { | |
242 | delete fCentralityDistribution; | |
243 | fCentralityDistribution = 0; | |
244 | } | |
2a910c25 | 245 | |
246 | if (fITSClusterMap) | |
247 | { | |
248 | delete fITSClusterMap; | |
249 | fITSClusterMap = 0; | |
250 | } | |
1bba939a | 251 | |
252 | for (Int_t i=0; i<2; i++) | |
670e1d49 | 253 | if (fTwoTrackDistancePt[i]) |
1bba939a | 254 | { |
670e1d49 | 255 | delete fTwoTrackDistancePt[i]; |
256 | fTwoTrackDistancePt[i] = 0; | |
1bba939a | 257 | } |
a75aacd6 | 258 | } |
259 | ||
ada1a03f | 260 | AliUEHist* AliUEHistograms::GetUEHist(Int_t id) |
261 | { | |
262 | // returns AliUEHist object, useful for loops | |
263 | ||
264 | switch (id) | |
265 | { | |
266 | case 0: return fNumberDensitypT; break; | |
267 | case 1: return fSumpT; break; | |
268 | case 2: return fNumberDensityPhi; break; | |
269 | } | |
270 | ||
271 | return 0; | |
272 | } | |
273 | ||
a75aacd6 | 274 | //____________________________________________________________________ |
275 | Int_t AliUEHistograms::CountParticles(TList* list, Float_t ptMin) | |
276 | { | |
277 | // counts the number of particles in the list with a pT above ptMin | |
278 | // TODO eta cut needed here? | |
279 | ||
280 | Int_t count = 0; | |
281 | for (Int_t j=0; j<list->GetEntries(); j++) | |
282 | if (((AliVParticle*) list->At(j))->Pt() > ptMin) | |
283 | count++; | |
284 | ||
285 | return count; | |
286 | } | |
287 | ||
288 | //____________________________________________________________________ | |
85bfac17 | 289 | void AliUEHistograms::Fill(Int_t eventType, Float_t zVtx, AliUEHist::CFStep step, AliVParticle* leading, TList* toward, TList* away, TList* min, TList* max) |
a75aacd6 | 290 | { |
291 | // fills the UE event histograms | |
292 | // | |
293 | // 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 | |
294 | ||
295 | // if leading is not set, just fill event statistics | |
296 | if (leading) | |
297 | { | |
298 | Int_t multiplicity = 0; | |
299 | ||
300 | // TODO configurable? | |
301 | Float_t ptMin = 0.15; | |
302 | if (leading->Pt() > ptMin) | |
303 | multiplicity++; | |
304 | ||
305 | multiplicity += CountParticles(toward, ptMin); | |
306 | multiplicity += CountParticles(away, ptMin); | |
307 | multiplicity += CountParticles(min, ptMin); | |
308 | multiplicity += CountParticles(max, ptMin); | |
309 | ||
85bfac17 | 310 | FillRegion(AliUEHist::kToward, zVtx, step, leading, toward, multiplicity); |
311 | FillRegion(AliUEHist::kAway, zVtx, step, leading, away, multiplicity); | |
312 | FillRegion(AliUEHist::kMin, zVtx, step, leading, min, multiplicity); | |
313 | FillRegion(AliUEHist::kMax, zVtx, step, leading, max, multiplicity); | |
b1831bcb | 314 | |
85bfac17 | 315 | Double_t vars[3]; |
a75aacd6 | 316 | vars[0] = leading->Pt(); |
317 | vars[1] = multiplicity; | |
85bfac17 | 318 | vars[2] = zVtx; |
bf58cbde | 319 | for (Int_t i=0; i<fgkUEHists; i++) |
320 | if (GetUEHist(i)) | |
321 | GetUEHist(i)->GetEventHist()->Fill(vars, step); | |
a75aacd6 | 322 | |
323 | fEventCountDifferential->Fill(leading->Pt(), step, eventType); | |
324 | } | |
325 | ||
326 | FillEvent(eventType, step); | |
327 | } | |
328 | ||
329 | //____________________________________________________________________ | |
85bfac17 | 330 | void AliUEHistograms::FillRegion(AliUEHist::Region region, Float_t zVtx, AliUEHist::CFStep step, AliVParticle* leading, TList* list, Int_t multiplicity) |
a75aacd6 | 331 | { |
332 | // loops over AliVParticles in list and fills the given region at the given step | |
333 | // | |
334 | // See also Fill(...) | |
335 | ||
336 | for (Int_t i=0; i<list->GetEntries(); i++) | |
337 | { | |
338 | AliVParticle* particle = (AliVParticle*) list->At(i); | |
339 | ||
85bfac17 | 340 | Double_t vars[6]; |
a75aacd6 | 341 | vars[0] = particle->Eta(); |
342 | vars[1] = particle->Pt(); | |
343 | vars[2] = leading->Pt(); | |
344 | vars[3] = multiplicity; | |
345 | vars[4] = leading->Phi() - particle->Phi(); | |
2ac8dc5c | 346 | if (vars[4] > 1.5 * TMath::Pi()) |
347 | vars[4] -= TMath::TwoPi(); | |
348 | if (vars[4] < -0.5 * TMath::Pi()) | |
349 | vars[4] += TMath::TwoPi(); | |
85bfac17 | 350 | vars[5] = zVtx; |
351 | ||
bf58cbde | 352 | if (fNumberDensitypT) |
353 | fNumberDensitypT->GetTrackHist(region)->Fill(vars, step); | |
354 | ||
355 | if (fSumpT) | |
356 | fSumpT->GetTrackHist(region)->Fill(vars, step, particle->Pt()); | |
a75aacd6 | 357 | |
358 | // fill all in toward region (is anyway as function of delta phi!) | |
bf58cbde | 359 | if (fNumberDensityPhi) |
360 | fNumberDensityPhi->GetTrackHist(AliUEHist::kToward)->Fill(vars, step); | |
a75aacd6 | 361 | } |
362 | } | |
363 | ||
364 | //____________________________________________________________________ | |
365 | void AliUEHistograms::Fill(AliVParticle* leadingMC, AliVParticle* leadingReco) | |
366 | { | |
367 | // fills the correlation histograms | |
368 | ||
369 | if (leadingMC) | |
370 | { | |
371 | fCorrelationpT->Fill(leadingMC->Pt(), leadingReco->Pt()); | |
372 | if (leadingMC->Pt() > 0.5) | |
373 | { | |
374 | fCorrelationEta->Fill(leadingMC->Eta(), leadingReco->Eta()); | |
375 | fCorrelationPhi->Fill(leadingMC->Phi(), leadingReco->Phi()); | |
376 | } | |
377 | ||
378 | Float_t phiDiff = leadingMC->Phi() - leadingReco->Phi(); | |
379 | if (phiDiff > TMath::Pi()) | |
380 | phiDiff -= TMath::TwoPi(); | |
381 | if (phiDiff < -TMath::Pi()) | |
382 | phiDiff += TMath::TwoPi(); | |
383 | ||
384 | Float_t etaDiff = leadingMC->Eta() - leadingReco->Eta(); | |
385 | ||
386 | fCorrelationR->Fill(TMath::Sqrt(phiDiff * phiDiff + etaDiff * etaDiff), leadingMC->Pt()); | |
387 | fCorrelationLeading2Phi->Fill(phiDiff, leadingMC->Pt()); | |
388 | } | |
389 | else | |
390 | { | |
391 | fCorrelationpT->Fill(1.0, leadingReco->Pt()); | |
392 | if (leadingReco->Pt() > 0.5) | |
393 | { | |
394 | fCorrelationEta->Fill(0.0, leadingReco->Eta()); | |
395 | fCorrelationPhi->Fill(0.0, leadingReco->Phi()); | |
396 | } | |
397 | } | |
398 | } | |
bf58cbde | 399 | |
400 | //____________________________________________________________________ | |
eed401dc | 401 | void AliUEHistograms::FillCorrelations(Double_t centrality, Float_t zVtx, AliUEHist::CFStep step, TObjArray* particles, TObjArray* mixed, Float_t weight, Bool_t firstTime) |
bf58cbde | 402 | { |
403 | // fills the fNumberDensityPhi histogram | |
404 | // | |
405 | // this function need a list of AliVParticles which contain the particles/tracks to be filled | |
e0331fd9 | 406 | // |
407 | // if mixed is non-0, mixed events are filled, the trigger particle is from particles, the associated from mixed | |
c05ff6be | 408 | // if weight < 0, then the pt of the associated particle is filled as weight |
409 | ||
410 | Bool_t fillpT = kFALSE; | |
411 | if (weight < 0) | |
412 | fillpT = kTRUE; | |
bf58cbde | 413 | |
eed401dc | 414 | // Eta() is extremely time consuming, therefore cache it for the inner loop here: |
415 | TObjArray* input = (mixed) ? mixed : particles; | |
416 | TArrayF eta(input->GetEntriesFast()); | |
417 | for (Int_t i=0; i<input->GetEntriesFast(); i++) | |
418 | eta[i] = ((AliVParticle*) input->At(i))->Eta(); | |
419 | ||
bf58cbde | 420 | // if particles is not set, just fill event statistics |
421 | if (particles) | |
422 | { | |
eed401dc | 423 | Int_t jMax = particles->GetEntriesFast(); |
424 | if (mixed) | |
425 | jMax = mixed->GetEntriesFast(); | |
426 | ||
427 | for (Int_t i=0; i<particles->GetEntriesFast(); i++) | |
bf58cbde | 428 | { |
429 | AliVParticle* triggerParticle = (AliVParticle*) particles->At(i); | |
eed401dc | 430 | |
431 | // some optimization | |
432 | Float_t triggerEta = triggerParticle->Eta(); | |
e0331fd9 | 433 | |
c7245604 | 434 | if (!mixed) |
435 | { | |
436 | // QA | |
437 | fCorrelationpT->Fill(centrality, triggerParticle->Pt()); | |
eed401dc | 438 | fCorrelationEta->Fill(centrality, triggerEta); |
c7245604 | 439 | fCorrelationPhi->Fill(centrality, triggerParticle->Phi()); |
85bfac17 | 440 | /* if (dynamic_cast<AliAODTrack*>(triggerParticle)) |
441 | fITSClusterMap->Fill(((AliAODTrack*) triggerParticle)->GetITSClusterMap(), centrality, triggerParticle->Pt());*/ | |
c7245604 | 442 | } |
443 | ||
e0331fd9 | 444 | for (Int_t j=0; j<jMax; j++) |
bf58cbde | 445 | { |
e0331fd9 | 446 | if (!mixed && i == j) |
bf58cbde | 447 | continue; |
448 | ||
e0331fd9 | 449 | AliVParticle* particle = 0; |
450 | if (!mixed) | |
451 | particle = (AliVParticle*) particles->At(j); | |
452 | else | |
453 | particle = (AliVParticle*) mixed->At(j); | |
bf58cbde | 454 | |
2a910c25 | 455 | // 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) |
456 | if (mixed && triggerParticle == particle) | |
457 | continue; | |
458 | ||
c7245604 | 459 | if (particle->Pt() > triggerParticle->Pt()) |
460 | continue; | |
461 | ||
462 | if (fSelectCharge > 0) | |
463 | { | |
464 | // skip like sign | |
465 | if (fSelectCharge == 1 && particle->Charge() * triggerParticle->Charge() > 0) | |
466 | continue; | |
467 | ||
468 | // skip unlike sign | |
469 | if (fSelectCharge == 2 && particle->Charge() * triggerParticle->Charge() < 0) | |
470 | continue; | |
471 | } | |
472 | ||
85bfac17 | 473 | Double_t vars[6]; |
eed401dc | 474 | vars[0] = triggerEta - eta[j]; |
bf58cbde | 475 | vars[1] = particle->Pt(); |
476 | vars[2] = triggerParticle->Pt(); | |
477 | vars[3] = centrality; | |
478 | vars[4] = triggerParticle->Phi() - particle->Phi(); | |
479 | if (vars[4] > 1.5 * TMath::Pi()) | |
480 | vars[4] -= TMath::TwoPi(); | |
481 | if (vars[4] < -0.5 * TMath::Pi()) | |
482 | vars[4] += TMath::TwoPi(); | |
85bfac17 | 483 | vars[5] = zVtx; |
c05ff6be | 484 | |
485 | if (fillpT) | |
486 | weight = particle->Pt(); | |
bf58cbde | 487 | |
c7245604 | 488 | // fill all in toward region and do not use the other regions |
489 | fNumberDensityPhi->GetTrackHist(AliUEHist::kToward)->Fill(vars, step, weight); | |
490 | } | |
bf58cbde | 491 | |
c7245604 | 492 | if (firstTime) |
493 | { | |
494 | // once per trigger particle | |
85bfac17 | 495 | Double_t vars[3]; |
c7245604 | 496 | vars[0] = triggerParticle->Pt(); |
497 | vars[1] = centrality; | |
85bfac17 | 498 | vars[2] = zVtx; |
c7245604 | 499 | fNumberDensityPhi->GetEventHist()->Fill(vars, step); |
c7245604 | 500 | } |
bf58cbde | 501 | } |
502 | } | |
503 | ||
504 | fCentralityDistribution->Fill(centrality); | |
2a910c25 | 505 | FillEvent(centrality, step); |
bf58cbde | 506 | } |
a75aacd6 | 507 | |
b1831bcb | 508 | //____________________________________________________________________ |
c7245604 | 509 | void AliUEHistograms::FillTrackingEfficiency(TObjArray* mc, TObjArray* recoPrim, TObjArray* recoAll, Int_t particleType, Double_t centrality) |
b1831bcb | 510 | { |
511 | // fills the tracking efficiency objects | |
512 | // | |
513 | // mc: all primary MC particles | |
514 | // recoPrim: reconstructed primaries (again MC particles) | |
515 | // recoAll: reconstructed (again MC particles) | |
516 | // particleType is: 0 for pion, 1 for kaon, 2 for proton, 3 for others | |
517 | ||
518 | for (Int_t step=0; step<3; step++) | |
519 | { | |
520 | TObjArray* list = mc; | |
521 | if (step == 1) | |
522 | list = recoPrim; | |
523 | else if (step == 2) | |
524 | list = recoAll; | |
525 | ||
eed401dc | 526 | for (Int_t i=0; i<list->GetEntriesFast(); i++) |
b1831bcb | 527 | { |
528 | AliVParticle* particle = (AliVParticle*) list->At(i); | |
c7245604 | 529 | Double_t vars[4]; |
b1831bcb | 530 | vars[0] = particle->Eta(); |
531 | vars[1] = particle->Pt(); | |
532 | vars[2] = particleType; | |
c7245604 | 533 | vars[3] = centrality; |
b1831bcb | 534 | |
bf58cbde | 535 | for (Int_t j=0; j<fgkUEHists; j++) |
536 | if (GetUEHist(j)) | |
537 | GetUEHist(j)->GetTrackHistEfficiency()->Fill(vars, step); | |
b1831bcb | 538 | } |
539 | } | |
540 | } | |
541 | ||
a75aacd6 | 542 | //____________________________________________________________________ |
543 | void AliUEHistograms::FillEvent(Int_t eventType, Int_t step) | |
544 | { | |
545 | // fills the number of events at the given step and the given enty type | |
546 | // | |
547 | // WARNING: This function is called from Fill, so only call it for steps where Fill is not called | |
548 | ||
549 | fEventCount->Fill(step, eventType); | |
550 | } | |
551 | ||
2a910c25 | 552 | //____________________________________________________________________ |
553 | void AliUEHistograms::FillEvent(Double_t centrality, Int_t step) | |
554 | { | |
555 | // fills the number of events at the given step and the given centrality | |
556 | // | |
557 | // WARNING: This function is called from Fill, so only call it for steps where Fill is not called | |
558 | ||
559 | fEventCount->Fill(step, centrality); | |
560 | } | |
561 | ||
a75aacd6 | 562 | //____________________________________________________________________ |
563 | void AliUEHistograms::SetEtaRange(Float_t etaMin, Float_t etaMax) | |
564 | { | |
565 | // sets eta min and max for all contained AliUEHist classes | |
566 | ||
bf58cbde | 567 | for (Int_t i=0; i<fgkUEHists; i++) |
568 | if (GetUEHist(i)) | |
569 | GetUEHist(i)->SetEtaRange(etaMin, etaMax); | |
a75aacd6 | 570 | } |
571 | ||
572 | //____________________________________________________________________ | |
573 | void AliUEHistograms::SetPtRange(Float_t ptMin, Float_t ptMax) | |
574 | { | |
575 | // sets pT min and max for all contained AliUEHist classes | |
576 | ||
bf58cbde | 577 | for (Int_t i=0; i<fgkUEHists; i++) |
578 | if (GetUEHist(i)) | |
579 | GetUEHist(i)->SetPtRange(ptMin, ptMax); | |
a75aacd6 | 580 | } |
581 | ||
85bfac17 | 582 | //____________________________________________________________________ |
583 | void AliUEHistograms::SetZVtxRange(Float_t min, Float_t max) | |
584 | { | |
585 | // sets pT min and max for all contained AliUEHist classes | |
586 | ||
587 | for (Int_t i=0; i<fgkUEHists; i++) | |
588 | if (GetUEHist(i)) | |
589 | GetUEHist(i)->SetZVtxRange(min, max); | |
590 | } | |
591 | ||
144bd037 | 592 | //____________________________________________________________________ |
593 | void AliUEHistograms::SetContaminationEnhancement(TH1F* hist) | |
594 | { | |
595 | // sets the contamination enhancement histogram in all contained AliUEHist classes | |
596 | ||
bf58cbde | 597 | for (Int_t i=0; i<fgkUEHists; i++) |
598 | if (GetUEHist(i)) | |
599 | GetUEHist(i)->SetContaminationEnhancement(hist); | |
144bd037 | 600 | } |
601 | ||
a75aacd6 | 602 | //____________________________________________________________________ |
603 | void AliUEHistograms::SetCombineMinMax(Bool_t flag) | |
604 | { | |
605 | // sets pT min and max for all contained AliUEHist classes | |
606 | ||
bf58cbde | 607 | for (Int_t i=0; i<fgkUEHists; i++) |
608 | if (GetUEHist(i)) | |
609 | GetUEHist(i)->SetCombineMinMax(flag); | |
a75aacd6 | 610 | } |
611 | ||
612 | //____________________________________________________________________ | |
613 | void AliUEHistograms::Correct(AliUEHistograms* corrections) | |
614 | { | |
615 | // corrects the contained histograms by calling AliUEHist::Correct | |
616 | ||
bf58cbde | 617 | for (Int_t i=0; i<fgkUEHists; i++) |
618 | if (GetUEHist(i)) | |
619 | GetUEHist(i)->Correct(corrections->GetUEHist(i)); | |
a75aacd6 | 620 | } |
621 | ||
622 | //____________________________________________________________________ | |
623 | AliUEHistograms &AliUEHistograms::operator=(const AliUEHistograms &c) | |
624 | { | |
625 | // assigment operator | |
626 | ||
627 | if (this != &c) | |
628 | ((AliUEHistograms &) c).Copy(*this); | |
629 | ||
630 | return *this; | |
631 | } | |
632 | ||
633 | //____________________________________________________________________ | |
634 | void AliUEHistograms::Copy(TObject& c) const | |
635 | { | |
636 | // copy function | |
637 | ||
638 | AliUEHistograms& target = (AliUEHistograms &) c; | |
639 | ||
640 | if (fNumberDensitypT) | |
641 | target.fNumberDensitypT = dynamic_cast<AliUEHist*> (fNumberDensitypT->Clone()); | |
642 | ||
643 | if (fSumpT) | |
644 | target.fSumpT = dynamic_cast<AliUEHist*> (fSumpT->Clone()); | |
645 | ||
646 | if (fNumberDensityPhi) | |
647 | target.fNumberDensityPhi = dynamic_cast<AliUEHist*> (fNumberDensityPhi->Clone()); | |
648 | ||
649 | if (fCorrelationpT) | |
650 | target.fCorrelationpT = dynamic_cast<TH2F*> (fCorrelationpT->Clone()); | |
651 | ||
652 | if (fCorrelationEta) | |
653 | target.fCorrelationEta = dynamic_cast<TH2F*> (fCorrelationEta->Clone()); | |
654 | ||
655 | if (fCorrelationPhi) | |
656 | target.fCorrelationPhi = dynamic_cast<TH2F*> (fCorrelationPhi->Clone()); | |
657 | ||
658 | if (fCorrelationR) | |
659 | target.fCorrelationR = dynamic_cast<TH2F*> (fCorrelationR->Clone()); | |
660 | ||
661 | if (fCorrelationLeading2Phi) | |
662 | target.fCorrelationLeading2Phi = dynamic_cast<TH2F*> (fCorrelationLeading2Phi->Clone()); | |
663 | ||
664 | if (fCorrelationMultiplicity) | |
665 | target.fCorrelationMultiplicity = dynamic_cast<TH2F*> (fCorrelationMultiplicity->Clone()); | |
666 | ||
667 | if (fEventCount) | |
668 | target.fEventCount = dynamic_cast<TH2F*> (fEventCount->Clone()); | |
669 | ||
670 | if (fEventCountDifferential) | |
671 | target.fEventCountDifferential = dynamic_cast<TH3F*> (fEventCountDifferential->Clone()); | |
672 | ||
673 | if (fVertexContributors) | |
674 | target.fVertexContributors = dynamic_cast<TH1F*> (fVertexContributors->Clone()); | |
bf58cbde | 675 | |
676 | if (fCentralityDistribution) | |
677 | target.fCentralityDistribution = dynamic_cast<TH1F*> (fCentralityDistribution->Clone()); | |
c7245604 | 678 | |
2a910c25 | 679 | if (fITSClusterMap) |
680 | target.fITSClusterMap = dynamic_cast<TH3F*> (fITSClusterMap->Clone()); | |
681 | ||
1bba939a | 682 | for (Int_t i=0; i<2; i++) |
670e1d49 | 683 | if (fTwoTrackDistancePt[i]) |
684 | target.fTwoTrackDistancePt[i] = dynamic_cast<TH3F*> (fTwoTrackDistancePt[i]->Clone()); | |
1bba939a | 685 | |
c7245604 | 686 | target.fSelectCharge = fSelectCharge; |
85bfac17 | 687 | target.fRunNumber = fRunNumber; |
a75aacd6 | 688 | } |
689 | ||
690 | //____________________________________________________________________ | |
691 | Long64_t AliUEHistograms::Merge(TCollection* list) | |
692 | { | |
693 | // Merge a list of AliUEHistograms objects with this (needed for | |
694 | // PROOF). | |
695 | // Returns the number of merged objects (including this). | |
696 | ||
697 | if (!list) | |
698 | return 0; | |
699 | ||
700 | if (list->IsEmpty()) | |
701 | return 1; | |
702 | ||
703 | TIterator* iter = list->MakeIterator(); | |
704 | TObject* obj; | |
705 | ||
706 | // collections of objects | |
1bba939a | 707 | const Int_t kMaxLists = 16; |
a75aacd6 | 708 | TList* lists[kMaxLists]; |
709 | ||
710 | for (Int_t i=0; i<kMaxLists; i++) | |
711 | lists[i] = new TList; | |
712 | ||
713 | Int_t count = 0; | |
714 | while ((obj = iter->Next())) { | |
715 | ||
716 | AliUEHistograms* entry = dynamic_cast<AliUEHistograms*> (obj); | |
717 | if (entry == 0) | |
718 | continue; | |
719 | ||
bf58cbde | 720 | if (entry->fNumberDensitypT) |
721 | lists[0]->Add(entry->fNumberDensitypT); | |
722 | if (entry->fSumpT) | |
723 | lists[1]->Add(entry->fSumpT); | |
724 | if (entry->fNumberDensityPhi) | |
725 | lists[2]->Add(entry->fNumberDensityPhi); | |
a75aacd6 | 726 | lists[3]->Add(entry->fCorrelationpT); |
727 | lists[4]->Add(entry->fCorrelationEta); | |
728 | lists[5]->Add(entry->fCorrelationPhi); | |
729 | lists[6]->Add(entry->fCorrelationR); | |
730 | lists[7]->Add(entry->fCorrelationLeading2Phi); | |
731 | lists[8]->Add(entry->fCorrelationMultiplicity); | |
732 | lists[9]->Add(entry->fEventCount); | |
733 | lists[10]->Add(entry->fEventCountDifferential); | |
734 | lists[11]->Add(entry->fVertexContributors); | |
bf58cbde | 735 | lists[12]->Add(entry->fCentralityDistribution); |
2a910c25 | 736 | lists[13]->Add(entry->fITSClusterMap); |
670e1d49 | 737 | if (fTwoTrackDistancePt[0]) |
738 | lists[14]->Add(entry->fTwoTrackDistancePt[0]); | |
739 | if (fTwoTrackDistancePt[1]) | |
740 | lists[15]->Add(entry->fTwoTrackDistancePt[1]); | |
a75aacd6 | 741 | |
742 | count++; | |
743 | } | |
744 | ||
bf58cbde | 745 | if (fNumberDensitypT) |
746 | fNumberDensitypT->Merge(lists[0]); | |
747 | if (fSumpT) | |
748 | fSumpT->Merge(lists[1]); | |
749 | if (fNumberDensityPhi) | |
750 | fNumberDensityPhi->Merge(lists[2]); | |
a75aacd6 | 751 | fCorrelationpT->Merge(lists[3]); |
752 | fCorrelationEta->Merge(lists[4]); | |
753 | fCorrelationPhi->Merge(lists[5]); | |
754 | fCorrelationR->Merge(lists[6]); | |
755 | fCorrelationLeading2Phi->Merge(lists[7]); | |
756 | fCorrelationMultiplicity->Merge(lists[8]); | |
757 | fEventCount->Merge(lists[9]); | |
758 | fEventCountDifferential->Merge(lists[10]); | |
759 | fVertexContributors->Merge(lists[11]); | |
bf58cbde | 760 | fCentralityDistribution->Merge(lists[12]); |
2a910c25 | 761 | fITSClusterMap->Merge(lists[13]); |
670e1d49 | 762 | if (fTwoTrackDistancePt[0]) |
763 | fTwoTrackDistancePt[0]->Merge(lists[14]); | |
764 | if (fTwoTrackDistancePt[1]) | |
765 | fTwoTrackDistancePt[1]->Merge(lists[15]); | |
a75aacd6 | 766 | |
767 | for (Int_t i=0; i<kMaxLists; i++) | |
768 | delete lists[i]; | |
769 | ||
770 | return count+1; | |
771 | } | |
b1831bcb | 772 | |
773 | void AliUEHistograms::CopyReconstructedData(AliUEHistograms* from) | |
774 | { | |
775 | // copies those histograms extracted from ESD to this object | |
776 | ||
bf58cbde | 777 | for (Int_t i=0; i<fgkUEHists; i++) |
778 | if (GetUEHist(i)) | |
779 | GetUEHist(i)->CopyReconstructedData(from->GetUEHist(i)); | |
b1831bcb | 780 | } |
6f803f6c | 781 | |
2a910c25 | 782 | void AliUEHistograms::ExtendTrackingEfficiency(Bool_t verbose) |
6f803f6c | 783 | { |
784 | // delegates to AliUEHists | |
785 | ||
bf58cbde | 786 | for (Int_t i=0; i<fgkUEHists; i++) |
787 | if (GetUEHist(i)) | |
2a910c25 | 788 | GetUEHist(i)->ExtendTrackingEfficiency(verbose); |
6f803f6c | 789 | } |
790 | ||
c7245604 | 791 | void AliUEHistograms::Scale(Double_t factor) |
792 | { | |
793 | // scales all contained histograms by the given factor | |
794 | ||
795 | for (Int_t i=0; i<fgkUEHists; i++) | |
796 | if (GetUEHist(i)) | |
797 | GetUEHist(i)->Scale(factor); | |
798 | ||
799 | TList list; | |
800 | list.Add(fCorrelationpT); | |
801 | list.Add(fCorrelationEta); | |
802 | list.Add(fCorrelationPhi); | |
803 | list.Add(fCorrelationR); | |
804 | list.Add(fCorrelationLeading2Phi); | |
805 | list.Add(fCorrelationMultiplicity); | |
806 | list.Add(fEventCount); | |
807 | list.Add(fEventCountDifferential); | |
808 | list.Add(fVertexContributors); | |
809 | list.Add(fCentralityDistribution); | |
2a910c25 | 810 | list.Add(fITSClusterMap); |
670e1d49 | 811 | list.Add(fTwoTrackDistancePt[0]); |
812 | list.Add(fTwoTrackDistancePt[1]); | |
c7245604 | 813 | |
814 | for (Int_t i=0; i<list.GetEntries(); i++) | |
815 | ((TH1*) list.At(i))->Scale(factor); | |
816 | } | |
817 | ||
818 | void AliUEHistograms::Reset() | |
819 | { | |
820 | // delegates to AliUEHists | |
821 | ||
822 | for (Int_t i=0; i<fgkUEHists; i++) | |
823 | if (GetUEHist(i)) | |
824 | GetUEHist(i)->Reset(); | |
825 | } | |
1bba939a | 826 | |
c5c840c5 | 827 | void AliUEHistograms::TwoTrackEfficiency(TObjArray* tracks, TObjArray* mixed, Float_t bSign) |
1bba939a | 828 | { |
c5c840c5 | 829 | // takes the input list <tracks> and fills histograms to study two two-track efficiency effects |
830 | // fTwoTrackDistancePt[i] (i = 0 same, i = 1 mixed) | |
831 | // | |
832 | // the variables have been developed by the HBT group | |
833 | // see e.g. https://indico.cern.ch/materialDisplay.py?contribId=36&sessionId=6&materialId=slides&confId=142700 | |
1bba939a | 834 | |
670e1d49 | 835 | if (!fTwoTrackDistancePt[0]) |
1bba939a | 836 | { |
b8abd4b7 | 837 | 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 | 838 | fTwoTrackDistancePt[1] = (TH3F*) fTwoTrackDistancePt[0]->Clone("fTwoTrackDistancePt[1]"); |
1bba939a | 839 | } |
6840ec31 | 840 | |
1bba939a | 841 | // Eta() is extremely time consuming, therefore cache it for the inner loop here: |
c5c840c5 | 842 | TArrayF eta1(tracks->GetEntriesFast()); |
1bba939a | 843 | for (Int_t i=0; i<tracks->GetEntriesFast(); i++) |
c5c840c5 | 844 | eta1[i] = ((AliVParticle*) tracks->At(i))->Eta(); |
845 | ||
846 | Int_t jMax = tracks->GetEntriesFast(); | |
847 | if (mixed) | |
848 | jMax = mixed->GetEntriesFast(); | |
849 | ||
850 | TArrayF eta2(jMax); | |
851 | if (!mixed) | |
852 | eta2 = eta1; | |
853 | else | |
854 | for (Int_t i=0; i<mixed->GetEntriesFast(); i++) | |
855 | eta2[i] = ((AliVParticle*) mixed->At(i))->Eta(); | |
1bba939a | 856 | |
857 | for (Int_t i=0; i<tracks->GetEntriesFast(); i++) | |
858 | { | |
859 | AliVParticle* particle1 = (AliVParticle*) tracks->At(i); | |
f11dcf7d | 860 | Float_t phi1 = particle1->Phi(); |
861 | Float_t pt1 = particle1->Pt(); | |
862 | Float_t charge1 = particle1->Charge(); | |
0a439e96 | 863 | |
c5c840c5 | 864 | for (Int_t j=0; j<jMax; j++) |
1bba939a | 865 | { |
c5c840c5 | 866 | if (!mixed && i == j) |
0a439e96 | 867 | continue; |
868 | ||
c5c840c5 | 869 | AliVParticle* particle2 = 0; |
870 | if (mixed) | |
871 | particle2 = (AliVParticle*) mixed->At(j); | |
872 | else | |
873 | particle2 = (AliVParticle*) tracks->At(j); | |
f11dcf7d | 874 | Float_t phi2 = particle2->Phi(); |
875 | Float_t pt2 = particle2->Pt(); | |
876 | Float_t charge2 = particle2->Charge(); | |
1bba939a | 877 | |
0a439e96 | 878 | if (pt2 > pt1) |
879 | continue; | |
880 | ||
881 | // Double_t dpt = TMath::Abs(pt1 - pt2); | |
c5c840c5 | 882 | Float_t deta = eta1[i] - eta2[j]; |
f11dcf7d | 883 | Float_t detaabs = TMath::Abs(deta); |
1bba939a | 884 | |
885 | // optimization | |
6840ec31 | 886 | if (detaabs > 0.05 && (pt1 < 8 || pt1 > 15)) |
887 | continue; | |
1bba939a | 888 | |
f11dcf7d | 889 | Float_t dphistarmin = 1e5; |
890 | Float_t dphistarminabs = 1e5; | |
1bba939a | 891 | |
892 | for (Double_t rad=0.8; rad<2.51; rad+=0.01) | |
893 | { | |
6840ec31 | 894 | Float_t dphistar = phi1 - phi2 - TMath::ASin(charge1 * 0.075 * bSign * rad / pt1) + TMath::ASin(charge2 * 0.075 * bSign * rad / pt2); |
f11dcf7d | 895 | Float_t dphistarabs = TMath::Abs(dphistar); |
1bba939a | 896 | |
897 | if (dphistarabs < dphistarminabs) | |
898 | { | |
899 | dphistarmin = dphistar; | |
900 | dphistarminabs = dphistarabs; | |
901 | } | |
1bba939a | 902 | } |
a4a4d54e | 903 | |
6840ec31 | 904 | Float_t fillPt = pt2; |
905 | ||
906 | // analyze region for IAA paper | |
907 | if (pt1 < 8 || pt1 > 15) | |
908 | fillPt = 0.25; | |
909 | ||
c5c840c5 | 910 | if (!mixed) |
911 | fTwoTrackDistancePt[0]->Fill(deta, dphistarmin, fillPt); | |
1bba939a | 912 | else |
c5c840c5 | 913 | fTwoTrackDistancePt[1]->Fill(deta, dphistarmin, fillPt); |
1bba939a | 914 | } |
915 | } | |
1bba939a | 916 | } |