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1 | /************************************************************************* | |
2 | * Copyright(c) 1998-2008, 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 | /************************************ | |
17 | * flow analysis with multi-particle * | |
18 | * correlations * | |
19 | * * | |
20 | * author: Ante Bilandzic * | |
21 | * (abilandzic@gmail.com) * | |
22 | ************************************/ | |
23 | ||
24 | #define AliFlowAnalysisWithMultiparticleCorrelations_cxx | |
25 | ||
26 | #include "AliFlowAnalysisWithMultiparticleCorrelations.h" | |
27 | ||
28 | using std::endl; | |
29 | using std::cout; | |
30 | using std::flush; | |
31 | ||
32 | //================================================================================================================ | |
33 | ||
34 | ClassImp(AliFlowAnalysisWithMultiparticleCorrelations) | |
35 | ||
36 | AliFlowAnalysisWithMultiparticleCorrelations::AliFlowAnalysisWithMultiparticleCorrelations(): | |
37 | // 0.) Base: | |
38 | fHistList(NULL), | |
39 | fInternalFlagsPro(NULL), | |
40 | fUseInternalFlags(kFALSE), | |
41 | fMinNoRPs(-44), | |
42 | fMaxNoRPs(-44), | |
43 | fExactNoRPs(-44), | |
44 | // 1.) Control histograms: | |
45 | fControlHistogramsList(NULL), | |
46 | fControlHistogramsFlagsPro(NULL), | |
47 | fFillControlHistograms(kFALSE), | |
48 | fFillKinematicsHist(kFALSE), | |
49 | fFillMultDistributionsHist(kFALSE), | |
50 | fFillMultCorrelationsHist(kFALSE), | |
51 | // 2.) Q-vector: | |
52 | fQvectorList(NULL), | |
53 | fQvectorFlagsPro(NULL), | |
54 | fCalculateQvector(kFALSE), | |
55 | fCalculateDiffQvectors(kFALSE), | |
56 | // 3.) Correlations: | |
57 | fCorrelationsList(NULL), | |
58 | fCorrelationsFlagsPro(NULL), | |
59 | fCalculateCorrelations(kFALSE), | |
60 | fMaxHarmonic(6), // TBI this shall not be hardwired in the ideal world... | |
61 | fMaxCorrelator(8), | |
62 | fCalculateIsotropic(kFALSE), | |
63 | fCalculateSame(kFALSE), | |
64 | fSkipZeroHarmonics(kFALSE), | |
65 | fCalculateSameIsotropic(kFALSE), | |
66 | fCalculateAll(kFALSE), | |
67 | fDontGoBeyond(0), | |
68 | fCalculateOnlyForHarmonicQC(kFALSE), | |
69 | fCalculateOnlyForSC(kFALSE), | |
70 | fCalculateOnlyCos(kFALSE), | |
71 | fCalculateOnlySin(kFALSE), | |
72 | // 4.) Event-by-event cumulants: | |
73 | fEbECumulantsList(NULL), | |
74 | fEbECumulantsFlagsPro(NULL), | |
75 | fCalculateEbECumulants(kFALSE), | |
76 | // 5.) Weights: | |
77 | fWeightsList(NULL), | |
78 | fWeightsFlagsPro(NULL), | |
79 | // 6.) Nested loops: | |
80 | fNestedLoopsList(NULL), | |
81 | fNestedLoopsFlagsPro(NULL), | |
82 | fCrossCheckWithNestedLoops(kFALSE), | |
83 | fCrossCheckDiffWithNestedLoops(kFALSE), | |
84 | fNestedLoopsResultsCosPro(NULL), | |
85 | fNestedLoopsResultsSinPro(NULL), | |
86 | fNestedLoopsDiffResultsPro(NULL), | |
87 | // 7.) 'Standard candles': | |
88 | fStandardCandlesList(NULL), | |
89 | fStandardCandlesFlagsPro(NULL), | |
90 | fCalculateStandardCandles(kFALSE), | |
91 | fPropagateErrorSC(kTRUE), | |
92 | fStandardCandlesHist(NULL), | |
93 | fProductsSCPro(NULL), | |
94 | // 8.) Q-cumulants: | |
95 | fQcumulantsList(NULL), | |
96 | fQcumulantsFlagsPro(NULL), | |
97 | fCalculateQcumulants(kFALSE), | |
98 | fHarmonicQC(2), | |
99 | fPropagateErrorQC(kTRUE), | |
100 | fQcumulantsHist(NULL), | |
101 | fReferenceFlowHist(NULL), | |
102 | fProductsQCPro(NULL), | |
103 | // 9.) Differential correlations: | |
104 | fDiffCorrelationsList(NULL), | |
105 | fDiffCorrelationsFlagsPro(NULL), | |
106 | fCalculateDiffCorrelations(kFALSE), | |
107 | fDiffBinNo(-1) | |
108 | { | |
109 | // Constructor. | |
110 | ||
111 | // a) Book grandmother of all lists; | |
112 | // b) Initialize all arrays. | |
113 | ||
114 | // a) Book grandmother of all lists: | |
115 | fHistList = new TList(); | |
116 | fHistList->SetName("cobjMPC"); | |
117 | fHistList->SetOwner(kTRUE); | |
118 | ||
119 | // b) Initialize all arrays: | |
120 | this->InitializeArraysForControlHistograms(); | |
121 | this->InitializeArraysForQvector(); | |
122 | this->InitializeArraysForCorrelations(); | |
123 | this->InitializeArraysForEbECumulants(); | |
124 | this->InitializeArraysForWeights(); | |
125 | this->InitializeArraysForQcumulants(); | |
126 | this->InitializeArraysForDiffCorrelations(); | |
127 | ||
128 | } // end of AliFlowAnalysisWithMultiparticleCorrelations::AliFlowAnalysisWithMultiparticleCorrelations() | |
129 | ||
130 | //================================================================================================================ | |
131 | ||
132 | AliFlowAnalysisWithMultiparticleCorrelations::~AliFlowAnalysisWithMultiparticleCorrelations() | |
133 | { | |
134 | // Destructor. | |
135 | ||
136 | delete fHistList; | |
137 | ||
138 | } // end of AliFlowAnalysisWithMultiparticleCorrelations::~AliFlowAnalysisWithMultiparticleCorrelations() | |
139 | ||
140 | //================================================================================================================ | |
141 | ||
142 | void AliFlowAnalysisWithMultiparticleCorrelations::Init() | |
143 | { | |
144 | // Well, this is method Init(). | |
145 | ||
146 | // a) Trick to avoid name clashes, part 1; | |
147 | // b) Cross-check the initial settings before starting this adventure; | |
148 | // c) Book all objects; | |
149 | // d) Set all flags; | |
150 | // *) Trick to avoid name clashes, part 2. | |
151 | ||
152 | // a) Trick to avoid name clashes, part 1: | |
153 | Bool_t oldHistAddStatus = TH1::AddDirectoryStatus(); | |
154 | TH1::AddDirectory(kFALSE); | |
155 | ||
156 | // b) Cross-check the initial settings before starting this adventure: | |
157 | this->CrossCheckSettings(); | |
158 | ||
159 | // c) Book all objects: | |
160 | this->BookAndNestAllLists(); | |
161 | this->BookEverythingForBase(); | |
162 | this->BookEverythingForControlHistograms(); | |
163 | this->BookEverythingForQvector(); | |
164 | this->BookEverythingForWeights(); | |
165 | this->BookEverythingForCorrelations(); | |
166 | this->BookEverythingForEbECumulants(); | |
167 | this->BookEverythingForNestedLoops(); | |
168 | this->BookEverythingForStandardCandles(); | |
169 | this->BookEverythingForQcumulants(); | |
170 | this->BookEverythingForDiffCorrelations(); | |
171 | ||
172 | // d) Set all flags: | |
173 | // ... | |
174 | ||
175 | // *) Trick to avoid name clashes, part 2: | |
176 | TH1::AddDirectory(oldHistAddStatus); | |
177 | ||
178 | } // end of void AliFlowAnalysisWithMultiparticleCorrelations::Init() | |
179 | ||
180 | //================================================================================================================ | |
181 | ||
182 | void AliFlowAnalysisWithMultiparticleCorrelations::Make(AliFlowEventSimple *anEvent) | |
183 | { | |
184 | // Running over data only in this method. | |
185 | ||
186 | // a) Cross-check internal flags; | |
187 | // b) Cross-check all pointers used in this method; | |
188 | // c) Fill control histograms; | |
189 | // d) Fill Q-vector components; | |
190 | // e) Calculate multi-particle correlations from Q-vector components; | |
191 | // f) Calculate e-b-e cumulants; | |
192 | // g) Reset Q-vector components; | |
193 | // h) Cross-check results with nested loops. | |
194 | ||
195 | // a) Cross-check internal flags: | |
196 | if(fUseInternalFlags){if(!this->CrossCheckInternalFlags(anEvent)){return;}} | |
197 | ||
198 | // b) Cross-check all pointers used in this method: | |
199 | this->CrossCheckPointersUsedInMake(); // TBI shall I call this method first | |
200 | ||
201 | // c) Fill control histograms: | |
202 | if(fFillControlHistograms){this->FillControlHistograms(anEvent);} | |
203 | ||
204 | // d) Fill Q-vector components: | |
205 | if(fCalculateQvector||fCalculateDiffQvectors){this->FillQvector(anEvent);} | |
206 | ||
207 | // e) Calculate multi-particle correlations from Q-vector components: | |
208 | if(fCalculateCorrelations){this->CalculateCorrelations(anEvent);} | |
209 | if(fCalculateDiffCorrelations){this->CalculateDiffCorrelations(anEvent);} | |
210 | ||
211 | // f) Calculate e-b-e cumulants: | |
212 | if(fCalculateEbECumulants){this->CalculateEbECumulants(anEvent);} | |
213 | ||
214 | // g) Reset Q-vector components: | |
215 | if(fCalculateQvector||fCalculateDiffQvectors){this->ResetQvector();} | |
216 | ||
217 | // h) Cross-check results with nested loops: | |
218 | if(fCrossCheckWithNestedLoops){this->CrossCheckWithNestedLoops(anEvent);} | |
219 | if(fCrossCheckDiffWithNestedLoops){this->CrossCheckDiffWithNestedLoops(anEvent);} | |
220 | ||
221 | } // end of AliFlowAnalysisWithMultiparticleCorrelations::Make(AliFlowEventSimple *anEvent) | |
222 | ||
223 | //======================================================================================================================= | |
224 | ||
225 | void AliFlowAnalysisWithMultiparticleCorrelations::Finish() | |
226 | { | |
227 | // Closing the curtains. | |
228 | ||
229 | // a) Cross-check pointers used in this method; | |
230 | // b) Calculate 'standard candles'; | |
231 | // c) Calculate Q-cumulants. | |
232 | ||
233 | // a) Cross-check pointers used in this method: | |
234 | this->CrossCheckPointersUsedInFinish(); | |
235 | ||
236 | // b) Calculate 'standard candles': | |
237 | if(fCalculateStandardCandles){this->CalculateStandardCandles();} | |
238 | ||
239 | // c) Calculate Q-cumulants: | |
240 | if(fCalculateQcumulants){this->CalculateQcumulants();this->CalculateReferenceFlow();} | |
241 | ||
242 | // ... | |
243 | ||
244 | printf("\n ... Closing the curtains ... \n\n"); | |
245 | ||
246 | } // end of AliFlowAnalysisWithMultiparticleCorrelations::Finish() | |
247 | ||
248 | //======================================================================================================================= | |
249 | ||
250 | void AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckPointersUsedInFinish() | |
251 | { | |
252 | // Cross-check all pointers used in method Finish(). | |
253 | ||
254 | // a) Correlations; | |
255 | // b) 'Standard candles'; | |
256 | // c) Q-cumulants. | |
257 | ||
258 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckPointersUsedInFinish()"; | |
259 | ||
260 | // a) Correlations: | |
261 | if(fCalculateCorrelations) | |
262 | { | |
263 | for(Int_t cs=0;cs<2;cs++) | |
264 | { | |
265 | if(fCalculateOnlyCos && 1==cs){continue;} | |
266 | else if(fCalculateOnlySin && 0==cs){continue;} | |
267 | for(Int_t c=0;c<fMaxCorrelator;c++) | |
268 | { | |
269 | if(!fCorrelationsPro[cs][c]){Fatal(sMethodName.Data(),"fCorrelationsPro[%d][%d] is NULL, for one reason or another...",cs,c);} | |
270 | } | |
271 | } | |
272 | if(fCalculateQcumulants && fPropagateErrorQC && !fProductsQCPro) | |
273 | {Fatal(sMethodName.Data(),"fCalculateQcumulants && fPropagateErrorQC && !fProductsQCPro");} | |
274 | } // if(fCalculateCorrelations) | |
275 | ||
276 | // b) 'Standard candles': | |
277 | if(fCalculateStandardCandles) | |
278 | { | |
279 | if(!fStandardCandlesHist){Fatal(sMethodName.Data(),"fStandardCandlesHist is NULL, for one reason or another...");} | |
280 | if(fPropagateErrorSC) | |
281 | { | |
282 | if(!fProductsSCPro){Fatal(sMethodName.Data(),"fProductsSCPro is NULL, for one reason or another...");} | |
283 | } | |
284 | } // if(fCalculateStandardCandles) | |
285 | ||
286 | // c) Q-cumulants: | |
287 | if(fCalculateQcumulants) | |
288 | { | |
289 | if(!fQcumulantsHist){Fatal(sMethodName.Data(),"fQcumulantsHist is NULL, for one reason or another...");} | |
290 | if(!fReferenceFlowHist){Fatal(sMethodName.Data(),"fReferenceFlowHist is NULL, for one reason or another...");} | |
291 | if(fPropagateErrorQC) | |
292 | { | |
293 | if(!fProductsQCPro){Fatal(sMethodName.Data(),"fProductsQCPro is NULL, for one reason or another...");} | |
294 | } | |
295 | } // if(fCalculateQcumulants) | |
296 | ||
297 | } // void AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckPointersUsedInFinish() | |
298 | ||
299 | //======================================================================================================================= | |
300 | ||
301 | void AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckPointersUsedInMake() | |
302 | { | |
303 | // Cross-check all pointers used in method Make(). | |
304 | ||
305 | // a) Correlations; | |
306 | // b) Event-by-event cumulants; | |
307 | // c) ... | |
308 | ||
309 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckPointersUsedInMake()"; | |
310 | ||
311 | // a) Correlations: | |
312 | if(fCalculateCorrelations) | |
313 | { | |
314 | for(Int_t cs=0;cs<2;cs++) | |
315 | { | |
316 | if(fCalculateOnlyCos && 1==cs){continue;} | |
317 | else if(fCalculateOnlySin && 0==cs){continue;} | |
318 | for(Int_t c=0;c<fMaxCorrelator;c++) | |
319 | { | |
320 | if(!fCorrelationsPro[cs][c]){Fatal(sMethodName.Data(),"fCorrelationsPro[%d][%d] is NULL, for one reason or another...",cs,c);} | |
321 | } | |
322 | } | |
323 | if(fCalculateQcumulants && fPropagateErrorQC && !fProductsQCPro) | |
324 | {Fatal(sMethodName.Data(),"fCalculateQcumulants && fPropagateErrorQC && !fProductsQCPro");} | |
325 | } // if(fCalculateCorrelations) | |
326 | ||
327 | // b) Event-by-event cumulants: | |
328 | if(fCalculateEbECumulants) | |
329 | { | |
330 | for(Int_t cs=0;cs<2;cs++) | |
331 | { | |
332 | for(Int_t c=0;c<fMaxCorrelator;c++) | |
333 | { | |
334 | if(!fEbECumulantsPro[cs][c]){Fatal(sMethodName.Data(),"fEbECumulantsPro[%d][%d] is NULL, for one reason or another...",cs,c);} | |
335 | } | |
336 | } | |
337 | } // if(fCalculateEbECumulants) | |
338 | ||
339 | } // void AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckPointersUsedInMake() | |
340 | ||
341 | //======================================================================================================================= | |
342 | ||
343 | void AliFlowAnalysisWithMultiparticleCorrelations::CalculateStandardCandles() | |
344 | { | |
345 | // Calculate 'standard candles'. | |
346 | ||
347 | // 'Standard candle' (SC) is defined in terms of average (all-event!) correlations as follows: | |
348 | // SC(-n1,-n2,n2,n1) = <<Cos(-n1,-n2,n2,n1)>> - <<Cos(-n1,n1)>>*<<Cos(-n2,n2)>>, n1 > n2. | |
349 | ||
350 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::CalculateStandardCandles()"; | |
351 | ||
352 | Int_t nBins = fStandardCandlesHist->GetNbinsX(); | |
353 | Int_t nBins2p = fCorrelationsPro[0][1]->GetNbinsX(); | |
354 | Int_t nBins4p = fCorrelationsPro[0][3]->GetNbinsX(); | |
355 | for(Int_t b=1;b<=nBins;b++) | |
356 | { | |
357 | // Standard candle: | |
358 | Double_t dSCn1n2n2n1 = 0.; // SC(-n1,-n2,n2,n1) | |
359 | Double_t dSCn1n2n2n1Err = 0.; // SC(-n1,-n2,n2,n1) stat. error | |
360 | ||
361 | // Correlations: | |
362 | Double_t dCosn1n2n2n1 = 0.; // <<Cos(-n1,-n2,n2,n1)>> | |
363 | Double_t dCosn1n2n2n1Err = 0.; // <<Cos(-n1,-n2,n2,n1)>> stat. error | |
364 | Double_t dCosn1n1 = 0.; // <<Cos(-n1,n1)>> | |
365 | Double_t dCosn1n1Err = 0.; // <<Cos(-n1,n1)>> stat. error | |
366 | Double_t dCosn2n2 = 0.; // <<Cos(-n2,n2)>> | |
367 | Double_t dCosn2n2Err = 0.; // <<Cos(-n2,n2)>> stat. error | |
368 | ||
369 | // Labels: | |
370 | TString labeln1n2n2n1 = TString(fStandardCandlesHist->GetXaxis()->GetBinLabel(b)).ReplaceAll("SC","Cos"); | |
371 | TString n1 = TString(fStandardCandlesHist->GetXaxis()->GetBinLabel(b))(4); | |
372 | TString n2 = TString(fStandardCandlesHist->GetXaxis()->GetBinLabel(b))(7); | |
373 | if(n1.EqualTo("-") || n1.EqualTo(",")){Fatal(sMethodName.Data(),"n1.EqualTo...");} | |
374 | if(n2.EqualTo("-") || n2.EqualTo(",")){Fatal(sMethodName.Data(),"n2.EqualTo...");} | |
375 | TString labeln1n1 = Form("Cos(-%s,%s)",n1.Data(),n1.Data()); | |
376 | TString labeln2n2 = Form("Cos(-%s,%s)",n2.Data(),n2.Data()); | |
377 | //cout<<labeln1n2n2n1.Data()<<endl; | |
378 | //cout<<labeln1n1.Data()<<endl; | |
379 | //cout<<labeln2n2.Data()<<endl; | |
380 | //cout<<endl; | |
381 | ||
382 | // Access <<Cos(-n1,-n2,n2,n1)>>: | |
383 | for(Int_t b4p=1;b4p<=nBins4p;b4p++) | |
384 | { | |
385 | if(labeln1n2n2n1.EqualTo(fCorrelationsPro[0][3]->GetXaxis()->GetBinLabel(b4p))) | |
386 | { | |
387 | //cout<<labeln1n2n2n1.Data()<<endl; | |
388 | dCosn1n2n2n1 = fCorrelationsPro[0][3]->GetBinContent(b4p); | |
389 | dCosn1n2n2n1Err = fCorrelationsPro[0][3]->GetBinError(b4p); | |
390 | break; | |
391 | } | |
392 | } // for(Int_t b4p=1;b4p<=nBins4p;b4p++) | |
393 | if(TMath::Abs(dCosn1n2n2n1) < 1.e-44){Fatal(sMethodName.Data(),"TMath::Abs(dCosn1n2n2n1) < 1.e-44 !!!!");} | |
394 | ||
395 | // Access <<Cos(-n1,n1)>> and <<Cos(-n2,n2)>>: | |
396 | for(Int_t b2p=1;b2p<=nBins2p;b2p++) | |
397 | { | |
398 | if(labeln1n1.EqualTo(fCorrelationsPro[0][1]->GetXaxis()->GetBinLabel(b2p))) | |
399 | { | |
400 | //cout<<labeln1n1.Data()<<endl; | |
401 | dCosn1n1 = fCorrelationsPro[0][1]->GetBinContent(b2p); | |
402 | dCosn1n1Err = fCorrelationsPro[0][1]->GetBinError(b2p); | |
403 | } | |
404 | else if(labeln2n2.EqualTo(fCorrelationsPro[0][1]->GetXaxis()->GetBinLabel(b2p))) | |
405 | { | |
406 | //cout<<labeln2n2.Data()<<endl; | |
407 | dCosn2n2 = fCorrelationsPro[0][1]->GetBinContent(b2p); | |
408 | dCosn2n2Err = fCorrelationsPro[0][1]->GetBinError(b2p); | |
409 | } | |
410 | if(TMath::Abs(dCosn1n1) > 0. && TMath::Abs(dCosn2n2) > 0.){break;} // found 'em both! | |
411 | } // for(Int_t b2p=1;b2p<=nBins2p;b2p++) | |
412 | if(TMath::Abs(dCosn1n1) < 1.e-44){Fatal(sMethodName.Data(),"TMath::Abs(dCosn1n1) < 1.e-44 !!!!");} | |
413 | if(TMath::Abs(dCosn2n2) < 1.e-44){Fatal(sMethodName.Data(),"TMath::Abs(dCosn2n2) < 1.e-44 !!!!");} | |
414 | ||
415 | // Calculate standard candles: | |
416 | dSCn1n2n2n1 = dCosn1n2n2n1-dCosn1n1*dCosn2n2; | |
417 | ||
418 | // Store the final results: | |
419 | fStandardCandlesHist->SetBinContent(b,dSCn1n2n2n1); | |
420 | ||
421 | // Error propagation: | |
422 | if(!fPropagateErrorSC) | |
423 | { | |
424 | fStandardCandlesHist->SetBinError(b,0.); | |
425 | continue; | |
426 | } | |
427 | ||
428 | // Access covariances (multiplied by weight dependent prefactor): | |
429 | Double_t wCovCosn1n2n2n1Cosn1n1 = Covariance(labeln1n2n2n1.Data(),labeln1n1.Data(),fProductsSCPro); // weighted Cov(<Cos(-n1,-n2,n2,n1)>,<Cos(-n1,n1)>) | |
430 | Double_t wCovCosn1n2n2n1Cosn2n2 = Covariance(labeln1n2n2n1.Data(),labeln2n2.Data(),fProductsSCPro); // weighted Cov(<Cos(-n1,-n2,n2,n1)>,<Cos(-n2,n2)>) | |
431 | Double_t wCovCosn1n1Cosn2n2 = Covariance(labeln1n1.Data(),labeln2n2.Data(),fProductsSCPro); // weighted Cov(<Cos(-n1,n1)>,<Cos(-n2,n2)>) | |
432 | ||
433 | // Explicit error propagation: | |
434 | Double_t dSCn1n2n2n1ErrSquared = pow(dCosn1n1,2.)*pow(dCosn2n2Err,2.) + pow(dCosn2n2,2.)*pow(dCosn1n1Err,2.) | |
435 | + pow(dCosn1n2n2n1Err,2.) + 2.*dCosn1n1*dCosn2n2*wCovCosn1n1Cosn2n2 | |
436 | - 2.*dCosn1n1*wCovCosn1n2n2n1Cosn2n2 - 2.*dCosn2n2*wCovCosn1n2n2n1Cosn1n1; | |
437 | if(dSCn1n2n2n1ErrSquared > 0.) | |
438 | { | |
439 | dSCn1n2n2n1Err = pow(dSCn1n2n2n1ErrSquared,0.5); | |
440 | } else{Warning(sMethodName.Data(),"dSCn1n2n2n1ErrSquared > 0. is not satisfied for %s !!!!",labeln1n2n2n1.ReplaceAll("Cos","SC").Data());} | |
441 | ||
442 | // Store the final stat. error: | |
443 | fStandardCandlesHist->SetBinError(b,dSCn1n2n2n1Err); | |
444 | } // for(Int_t b=1;b<=nBins;b++) | |
445 | ||
446 | return; | |
447 | ||
448 | } // void AliFlowAnalysisWithMultiparticleCorrelations::CalculateStandardCandles() | |
449 | ||
450 | //======================================================================================================================= | |
451 | ||
452 | void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForCorrelations() | |
453 | { | |
454 | // Initialize all arrays for correlations. | |
455 | ||
456 | for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
457 | { | |
458 | for(Int_t c=0;c<8;c++) // [1p,2p,...,8p] | |
459 | { | |
460 | fCorrelationsPro[cs][c] = NULL; | |
461 | } | |
462 | } | |
463 | ||
464 | } // void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForCorrelations() | |
465 | ||
466 | //======================================================================================================================= | |
467 | ||
468 | void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForEbECumulants() | |
469 | { | |
470 | // Initialize all arrays for event-by-event cumulants. | |
471 | ||
472 | for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
473 | { | |
474 | for(Int_t c=0;c<8;c++) // [1p,2p,...,8p] | |
475 | { | |
476 | fEbECumulantsPro[cs][c] = NULL; | |
477 | } | |
478 | } | |
479 | ||
480 | } // void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForEbECumulants() | |
481 | ||
482 | //======================================================================================================================= | |
483 | ||
484 | void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForDiffCorrelations() | |
485 | { | |
486 | // Initialize all arrays for differential correlations. | |
487 | ||
488 | for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
489 | { | |
490 | for(Int_t c=0;c<4;c++) // [1p,2p,3p,4p] | |
491 | { | |
492 | fDiffCorrelationsPro[cs][c] = NULL; | |
493 | fDiffHarmonics[cs][c] = 0; | |
494 | } | |
495 | } | |
496 | ||
497 | // Default values: | |
498 | // Cos, 2p: | |
499 | fDiffHarmonics[1][0] = -2; | |
500 | fDiffHarmonics[1][1] = 2; | |
501 | // Cos, 3p: | |
502 | fDiffHarmonics[2][0] = -3; | |
503 | fDiffHarmonics[2][1] = 1; | |
504 | fDiffHarmonics[2][2] = 2; | |
505 | // Cos, 4p: | |
506 | fDiffHarmonics[3][0] = -2; | |
507 | fDiffHarmonics[3][1] = -2; | |
508 | fDiffHarmonics[3][2] = 2; | |
509 | fDiffHarmonics[3][3] = 2; | |
510 | ||
511 | } // void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForDiffCorrelations() | |
512 | ||
513 | //======================================================================================================================= | |
514 | ||
515 | void AliFlowAnalysisWithMultiparticleCorrelations::CalculateCorrelations(AliFlowEventSimple *anEvent) | |
516 | { | |
517 | // Calculate multi-particle correlations from Q-vector components. | |
518 | ||
519 | // a) Calculate all booked multi-particle correlations; | |
520 | // b) Calculate products needed for QC error propagation; | |
521 | // c) Calculate products needed for SC error propagation. | |
522 | ||
523 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::CalculateCorrelations(AliFlowEventSimple *anEvent)"; | |
524 | if(!anEvent){Fatal(sMethodName.Data(),"'anEvent'!?!? You again!!!!");} | |
525 | ||
526 | // a) Calculate all booked multi-particle correlations: | |
527 | Double_t dMultRP = anEvent->GetNumberOfRPs(); // TBI shall I promote this variable into data member? | |
528 | for(Int_t cs=0;cs<2;cs++) // cos/sin | |
529 | { | |
530 | if(fCalculateOnlyCos && 1==cs){continue;} | |
531 | else if(fCalculateOnlySin && 0==cs){continue;} | |
532 | for(Int_t co=0;co<8;co++) // correlator order (TBI hardwired 8) | |
533 | { | |
534 | if(dMultRP < co+1){break;} // defines min. number of particles in an event for a certain correlator to make sense | |
535 | Int_t nBins = 0; | |
536 | if(fCorrelationsPro[cs][co]){nBins = fCorrelationsPro[cs][co]->GetNbinsX();} | |
537 | else{continue;} | |
538 | for(Int_t b=1;b<=nBins;b++) | |
539 | { | |
540 | TString sBinLabel = fCorrelationsPro[cs][co]->GetXaxis()->GetBinLabel(b); | |
541 | if(sBinLabel.EqualTo("")){break;} | |
542 | Double_t num = CastStringToCorrelation(sBinLabel.Data(),kTRUE); | |
543 | Double_t den = CastStringToCorrelation(sBinLabel.Data(),kFALSE); | |
544 | Double_t weight = den; // TBI: add support for other options for the weight eventually | |
545 | if(den>0.) | |
546 | { | |
547 | fCorrelationsPro[cs][co]->Fill(b-.5,num/den,weight); | |
548 | } else{Warning(sMethodName.Data(),"if(den>0.)");} | |
549 | } // for(Int_t b=1;b<=nBins;b++) | |
550 | } // for(Int_t co=0;co<8;co++) // correlator order (TBI hardwired 8) | |
551 | } // for(Int_t cs=0;cs<=1;cs++) // cos/sin | |
552 | ||
553 | // b) Calculate products needed for QC error propagation: | |
554 | if(fCalculateQcumulants && fPropagateErrorQC){this->CalculateProductsOfCorrelations(anEvent,fProductsQCPro);} | |
555 | ||
556 | // c) Calculate products needed for SC error propagation: | |
557 | if(fCalculateStandardCandles && fPropagateErrorSC){this->CalculateProductsOfCorrelations(anEvent,fProductsSCPro);} | |
558 | ||
559 | } // void AliFlowAnalysisWithMultiparticleCorrelations::CalculateCorrelations(AliFlowEventSimple *anEvent) | |
560 | ||
561 | //======================================================================================================================= | |
562 | ||
563 | void AliFlowAnalysisWithMultiparticleCorrelations::CalculateDiffCorrelations(AliFlowEventSimple *anEvent) | |
564 | { | |
565 | // Calculate differential multi-particle correlations from Q-, p- and q-vector components. | |
566 | ||
567 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::CalculateCorrelations(AliFlowEventSimple *anEvent)"; | |
568 | if(!anEvent){Fatal(sMethodName.Data(),"'anEvent'!?!? You again!!!!");} | |
569 | ||
570 | Int_t nBins = 0; // TBI promote this to data member? | |
571 | for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
572 | { | |
573 | if(nBins != 0){break;} | |
574 | for(Int_t co=0;co<4;co++) // [1p,2p,3p,4p] | |
575 | { | |
576 | if(fDiffCorrelationsPro[cs][co] && 0==nBins) | |
577 | { | |
578 | nBins = fDiffCorrelationsPro[cs][co]->GetNbinsX(); | |
579 | } | |
580 | } // for(Int_t co=0;co<4;co++) // [1p,2p,3p,4p] | |
581 | } // for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
582 | ||
583 | // TBI: The lines below are genuine, most delicious, spaghetti ever... To be reimplemented (one day). | |
584 | for(Int_t b=1;b<=nBins;b++) | |
585 | { | |
586 | fDiffBinNo = b-1; | |
587 | // <2'>: | |
588 | Double_t num2 = TwoDiff(fDiffHarmonics[1][0],fDiffHarmonics[1][1]).Re(); | |
589 | Double_t den2 = TwoDiff(0,0).Re(); | |
590 | Double_t w2 = den2; // TBI add support for other options for the weight | |
591 | if(den2>0.){fDiffCorrelationsPro[0][1]->Fill(fDiffCorrelationsPro[0][1]->GetBinCenter(b),num2/den2,w2);} | |
592 | // <3'>: | |
593 | Double_t num3 = ThreeDiff(fDiffHarmonics[2][0],fDiffHarmonics[2][1],fDiffHarmonics[2][2]).Re(); | |
594 | Double_t den3 = ThreeDiff(0,0,0).Re(); | |
595 | Double_t w3 = den3; // TBI add support for other options for the weight | |
596 | if(den3>0.){fDiffCorrelationsPro[0][2]->Fill(fDiffCorrelationsPro[0][2]->GetBinCenter(b),num3/den3,w3);} | |
597 | // <4'>: | |
598 | Double_t num4 = FourDiff(fDiffHarmonics[3][0],fDiffHarmonics[3][1],fDiffHarmonics[3][2],fDiffHarmonics[3][3]).Re(); | |
599 | Double_t den4 = FourDiff(0,0,0,0).Re(); | |
600 | Double_t w4 = den4; // TBI add support for other options for the weight | |
601 | if(den4>0.){fDiffCorrelationsPro[0][3]->Fill(fDiffCorrelationsPro[0][3]->GetBinCenter(b),num4/den4,w4);} | |
602 | } // for(Int_t b=1;b<=nBins;b++) | |
603 | ||
604 | } // void AliFlowAnalysisWithMultiparticleCorrelations::CalculateDiffCorrelations(AliFlowEventSimple *anEvent) | |
605 | ||
606 | //======================================================================================================================= | |
607 | ||
608 | Double_t AliFlowAnalysisWithMultiparticleCorrelations::CastStringToCorrelation(const char *string, Bool_t numerator) | |
609 | { | |
610 | // Cast string of the generic form Cos/Sin(-n_1,-n_2,...,n_{k-1},n_k) in the corresponding correlation value. | |
611 | // If you issue a call to this method with setting numerator = kFALSE, then you are getting back for free | |
612 | // the corresponding denumerator (a.k.a. weight 'number of combinations'). | |
613 | ||
614 | // TBI: | |
615 | // a) add protection against cases a la: | |
616 | // string = Cos(-3,-4,5,6,5,6,-3) | |
617 | // method = Six(-3,-4,5,6,5,-3).Re() | |
618 | // b) cross-check with nested loops this method | |
619 | ||
620 | Double_t dValue = 0.; // return value | |
621 | ||
622 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::CastStringToCorrelation(const char *string, Bool_t numerator)"; | |
623 | ||
624 | if(!(TString(string).BeginsWith("Cos") || TString(string).BeginsWith("Sin"))) | |
625 | { | |
626 | cout<<Form("And the fatal string is... '%s'. Congratulations!!",string)<<endl; | |
627 | Fatal(sMethodName.Data(),"!(TString(string).BeginsWith(..."); | |
628 | } | |
629 | ||
630 | Bool_t bRealPart = kTRUE; | |
631 | if(TString(string).BeginsWith("Sin")){bRealPart = kFALSE;} | |
632 | ||
633 | Int_t n[8] = {0,0,0,0,0,0,0,0}; // harmonics, supporting up to 8p correlations | |
634 | UInt_t whichCorr = 0; | |
635 | for(Int_t t=0;t<=TString(string).Length();t++) | |
636 | { | |
637 | if(TString(string[t]).EqualTo(",") || TString(string[t]).EqualTo(")")) // TBI this is just ugly | |
638 | { | |
639 | n[whichCorr] = string[t-1] - '0'; | |
640 | if(TString(string[t-2]).EqualTo("-")){n[whichCorr] = -1*n[whichCorr];} | |
641 | if(!(TString(string[t-2]).EqualTo("-") | |
642 | || TString(string[t-2]).EqualTo(",") | |
643 | || TString(string[t-2]).EqualTo("("))) // TBI relax this eventually to allow two-digits harmonics | |
644 | { | |
645 | cout<<Form("And the fatal string is... '%s'. Congratulations!!",string)<<endl; | |
646 | Fatal(sMethodName.Data(),"!(TString(string[t-2]).EqualTo(..."); | |
647 | } | |
648 | whichCorr++; | |
649 | if(whichCorr>=9){Fatal(sMethodName.Data(),"whichCorr>=9");} // not supporting corr. beyond 8p | |
650 | } // if(TString(string[t]).EqualTo(",") || TString(string[t]).EqualTo(")")) // TBI this is just ugly | |
651 | } // for(UInt_t t=0;t<=TString(string).Length();t++) | |
652 | ||
653 | switch(whichCorr) | |
654 | { | |
655 | case 1: | |
656 | if(!numerator){dValue = One(0).Re();} | |
657 | else if(bRealPart){dValue = One(n[0]).Re();} | |
658 | else{dValue = One(n[0]).Im();} | |
659 | break; | |
660 | ||
661 | case 2: | |
662 | if(!numerator){dValue = Two(0,0).Re();} | |
663 | else if(bRealPart){dValue = Two(n[0],n[1]).Re();} | |
664 | else{dValue = Two(n[0],n[1]).Im();} | |
665 | break; | |
666 | ||
667 | case 3: | |
668 | if(!numerator){dValue = Three(0,0,0).Re();} | |
669 | else if(bRealPart){dValue = Three(n[0],n[1],n[2]).Re();} | |
670 | else{dValue = Three(n[0],n[1],n[2]).Im();} | |
671 | break; | |
672 | ||
673 | case 4: | |
674 | if(!numerator){dValue = Four(0,0,0,0).Re();} | |
675 | else if(bRealPart){dValue = Four(n[0],n[1],n[2],n[3]).Re();} | |
676 | else{dValue = Four(n[0],n[1],n[2],n[3]).Im();} | |
677 | break; | |
678 | ||
679 | case 5: | |
680 | if(!numerator){dValue = Five(0,0,0,0,0).Re();} | |
681 | else if(bRealPart){dValue = Five(n[0],n[1],n[2],n[3],n[4]).Re();} | |
682 | else{dValue = Five(n[0],n[1],n[2],n[3],n[4]).Im();} | |
683 | break; | |
684 | ||
685 | case 6: | |
686 | if(!numerator){dValue = Six(0,0,0,0,0,0).Re();} | |
687 | else if(bRealPart){dValue = Six(n[0],n[1],n[2],n[3],n[4],n[5]).Re();} | |
688 | else{dValue = Six(n[0],n[1],n[2],n[3],n[4],n[5]).Im();} | |
689 | break; | |
690 | ||
691 | case 7: | |
692 | if(!numerator){dValue = Seven(0,0,0,0,0,0,0).Re();} | |
693 | else if(bRealPart){dValue = Seven(n[0],n[1],n[2],n[3],n[4],n[5],n[6]).Re();} | |
694 | else{dValue = Seven(n[0],n[1],n[2],n[3],n[4],n[5],n[6]).Im();} | |
695 | break; | |
696 | ||
697 | case 8: | |
698 | if(!numerator){dValue = Eight(0,0,0,0,0,0,0,0).Re();} | |
699 | else if(bRealPart){dValue = Eight(n[0],n[1],n[2],n[3],n[4],n[5],n[6],n[7]).Re();} | |
700 | else{dValue = Eight(n[0],n[1],n[2],n[3],n[4],n[5],n[6],n[7]).Im();} | |
701 | break; | |
702 | ||
703 | default: | |
704 | cout<<Form("And the fatal 'whichCorr' value is... %d. Congratulations!!",whichCorr)<<endl; | |
705 | Fatal(sMethodName.Data(),"switch(whichCorr)"); | |
706 | } // switch(whichCorr) | |
707 | ||
708 | return dValue; | |
709 | ||
710 | } // Double_t AliFlowAnalysisWithMultiparticleCorrelations::CastStringToCorrelation(const char *string, Bool_t numerator) | |
711 | ||
712 | //======================================================================================================================= | |
713 | ||
714 | void AliFlowAnalysisWithMultiparticleCorrelations::CalculateProductsOfCorrelations(AliFlowEventSimple *anEvent, TProfile2D *profile2D) | |
715 | { | |
716 | // Calculate products of multi-particle correlations (needed for error propagation). | |
717 | ||
718 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::CalculateProductsOfCorrelations(AliFlowEventSimple *anEvent, TProfile2D *profile2D)"; | |
719 | if(!anEvent){Fatal(sMethodName.Data(),"Sorry, 'anEvent' is on holidays.");} | |
720 | if(!profile2D){Fatal(sMethodName.Data(),"Sorry, 'profile2D' is on holidays.");} | |
721 | ||
722 | Int_t nBins = profile2D->GetXaxis()->GetNbins(); | |
723 | for(Int_t bx=2;bx<=nBins;bx++) | |
724 | { | |
725 | for(Int_t by=1;by<bx;by++) | |
726 | { | |
727 | const char *binLabelX = profile2D->GetXaxis()->GetBinLabel(bx); | |
728 | const char *binLabelY = profile2D->GetYaxis()->GetBinLabel(by); | |
729 | Double_t numX = this->CastStringToCorrelation(binLabelX,kTRUE); // numerator | |
730 | Double_t denX = this->CastStringToCorrelation(binLabelX,kFALSE); // denominator | |
731 | Double_t wX = denX; // weight TBI add support for other options | |
732 | Double_t numY = this->CastStringToCorrelation(binLabelY,kTRUE); // numerator | |
733 | Double_t denY = this->CastStringToCorrelation(binLabelY,kFALSE); // denominator | |
734 | Double_t wY = denY; // weight TBI add support for other options | |
735 | if(TMath::Abs(denX) > 0. && TMath::Abs(denY) > 0.) | |
736 | { | |
737 | profile2D->Fill(bx-0.5,by-0.5,(numX/denX)*(numY/denY),wX*wY); | |
738 | } | |
739 | else{Fatal(sMethodName.Data(),"if(TMath::Abs(denX) > 0. && TMath::Abs(denY) > 0.)");} | |
740 | } // for(Int_t by=1;by<bx;by++) | |
741 | } // for(Int_t bx=2;bx<=nBins;bx++) | |
742 | ||
743 | } // void CalculateProductsOfCorrelations(AliFlowEventSimple *anEvent, TProfile2D *profile2D) | |
744 | ||
745 | //======================================================================================================================= | |
746 | ||
747 | void AliFlowAnalysisWithMultiparticleCorrelations::CalculateEbECumulants(AliFlowEventSimple *anEvent) | |
748 | { | |
749 | // Calculate e-b-e cumulants from Q-vector components. | |
750 | ||
751 | // TBI this mathod is far (very far, in fact) from being finalized :'( | |
752 | ||
753 | // a) Calculate and store e-b-e cumulants. | |
754 | ||
755 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::CalculateEbECumulants(AliFlowEventSimple *anEvent)"; | |
756 | if(!anEvent){Fatal(sMethodName.Data(),"'anEvent'!?!? You again!!!!");} | |
757 | ||
758 | // a) Calculate and store e-b-e cumulants: | |
759 | Double_t dMultRP = anEvent->GetNumberOfRPs(); // TBI shall I promote this variable into data member? | |
760 | Int_t binNo[8]; for(Int_t c=0;c<8;c++){binNo[c]=1;} | |
761 | // 1-p: | |
762 | for(Int_t n1=-fMaxHarmonic;n1<=fMaxHarmonic;n1++) | |
763 | { | |
764 | if(fSkipZeroHarmonics && 0==n1){continue;} | |
765 | if(fCalculateAll) | |
766 | { | |
767 | TComplex oneN = One(n1); // numerator | |
768 | Double_t oneD = One(0).Re(); // denominator | |
769 | Double_t oneW = oneD; // weight TBI add other possibilities here for the weight | |
770 | if(oneD>0. && dMultRP>=1) | |
771 | { | |
772 | fEbECumulantsPro[0][0]->Fill(binNo[0]-.5,oneN.Re()/oneD,oneW); | |
773 | fEbECumulantsPro[1][0]->Fill(binNo[0]++-.5,oneN.Im()/oneD,oneW); | |
774 | } else {Warning(sMethodName.Data(),"if(oneD>0. && dMultRP>=1) ");} | |
775 | } | |
776 | if(1==fDontGoBeyond){continue;} | |
777 | // 2-p: | |
778 | for(Int_t n2=n1;n2<=fMaxHarmonic;n2++) | |
779 | { | |
780 | if(fSkipZeroHarmonics && 0==n2){continue;} | |
781 | if(fCalculateAll | |
782 | || (fCalculateIsotropic && 0==n1+n2) | |
783 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2)) | |
784 | || (fCalculateSameIsotropic && 0==n1+n2 && TMath::Abs(n1)==TMath::Abs(n2))) | |
785 | { | |
786 | Double_t cumulants2pCos = Two(n1,n2).Re()/Two(0,0).Re() | |
787 | - (One(n1).Re()/One(0).Re())*(One(n2).Re()/One(0).Re()) | |
788 | + (One(n1).Im()/One(0).Re())*(One(n2).Im()/One(0).Re()); | |
789 | ||
790 | Double_t cumulants2pSin = Two(n1,n2).Im()/Two(0,0).Re() | |
791 | - (One(n1).Re()/One(0).Re())*(One(n2).Im()/One(0).Re()) | |
792 | - (One(n2).Re()/One(0).Re())*(One(n1).Im()/One(0).Re()); | |
793 | ||
794 | if(/*twoD>0. &&*/ dMultRP>=2) | |
795 | { | |
796 | fEbECumulantsPro[0][1]->Fill(binNo[1]-.5,cumulants2pCos,1.);; | |
797 | fEbECumulantsPro[1][1]->Fill(binNo[1]++-.5,cumulants2pSin,1.);; | |
798 | } else {Warning(sMethodName.Data(),"/*twoD>0. &&*/ dMultRP>=2");} | |
799 | } | |
800 | if(2==fDontGoBeyond){continue;} | |
801 | ||
802 | /* | |
803 | ||
804 | // 3-p: | |
805 | for(Int_t n3=n2;n3<=fMaxHarmonic;n3++) | |
806 | { | |
807 | if(fSkipZeroHarmonics && 0==n3){continue;} | |
808 | if(fCalculateAll | |
809 | || (fCalculateIsotropic && 0==n1+n2+n3) | |
810 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3)) | |
811 | || (fCalculateSameIsotropic && 0==n1+n2+n3 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3))) | |
812 | { | |
813 | TComplex threeN = Three(n1,n2,n3); // numerator | |
814 | Double_t threeD = Three(0,0,0).Re(); // denominator | |
815 | Double_t threeW = threeD; // weight TBI add other possibilities here for the weight | |
816 | if(threeD>0. && dMultRP>=3) | |
817 | { | |
818 | fEbECumulantsPro[0][2]->Fill(binNo[2]-.5,threeN.Re()/threeD,threeW); | |
819 | fEbECumulantsPro[1][2]->Fill(binNo[2]++-.5,threeN.Im()/threeD,threeW); | |
820 | } else {Warning(sMethodName.Data(),"threeD>0. && dMultRP>=3");} | |
821 | } | |
822 | if(3==fDontGoBeyond){continue;} | |
823 | // 4-p: | |
824 | for(Int_t n4=n3;n4<=fMaxHarmonic;n4++) | |
825 | { | |
826 | if(fSkipZeroHarmonics && 0==n4){continue;} | |
827 | if(fCalculateAll | |
828 | || (fCalculateIsotropic && 0==n1+n2+n3+n4) | |
829 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) | |
830 | && TMath::Abs(n1)==TMath::Abs(n4)) | |
831 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4 && TMath::Abs(n1)==TMath::Abs(n2) | |
832 | && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4))) | |
833 | { | |
834 | TComplex fourN = Four(n1,n2,n3,n4); // numerator | |
835 | Double_t fourD = Four(0,0,0,0).Re(); // denominator | |
836 | Double_t fourW = fourD; // weight TBI add other possibilities here for the weight | |
837 | if(fourD>0. && dMultRP>=4) | |
838 | { | |
839 | fEbECumulantsPro[0][3]->Fill(binNo[3]-.5,fourN.Re()/fourD,fourW); | |
840 | fEbECumulantsPro[1][3]->Fill(binNo[3]++-.5,fourN.Im()/fourD,fourW); | |
841 | } else {Warning(sMethodName.Data(),"fourD>0. && dMultRP>=4");} | |
842 | } | |
843 | if(4==fDontGoBeyond){continue;} | |
844 | // 5-p: | |
845 | for(Int_t n5=n4;n5<=fMaxHarmonic;n5++) | |
846 | { | |
847 | if(fSkipZeroHarmonics && 0==n5){continue;} | |
848 | if(fCalculateAll | |
849 | || (fCalculateIsotropic && 0==n1+n2+n3+n4+n5) | |
850 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) | |
851 | && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5)) | |
852 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4+n5 && TMath::Abs(n1)==TMath::Abs(n2) | |
853 | && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5))) | |
854 | { | |
855 | TComplex fiveN = Five(n1,n2,n3,n4,n5); // numerator | |
856 | Double_t fiveD = Five(0,0,0,0,0).Re(); // denominator | |
857 | Double_t fiveW = fiveD; // weight TBI add other possibilities here for the weight | |
858 | if(fiveD>0. && dMultRP>=5) | |
859 | { | |
860 | fEbECumulantsPro[0][4]->Fill(binNo[4]-.5,fiveN.Re()/fiveD,fiveW); | |
861 | fEbECumulantsPro[1][4]->Fill(binNo[4]++-.5,fiveN.Im()/fiveD,fiveW); | |
862 | } else {Warning(sMethodName.Data(),"fiveD>0. && dMultRP>=5");} | |
863 | } | |
864 | if(5==fDontGoBeyond){continue;} | |
865 | // 6-p: | |
866 | for(Int_t n6=n5;n6<=fMaxHarmonic;n6++) | |
867 | { | |
868 | if(fSkipZeroHarmonics && 0==n6){continue;} | |
869 | if(fCalculateAll | |
870 | || (fCalculateIsotropic && 0==n1+n2+n3+n4+n5+n6) | |
871 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) | |
872 | && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6)) | |
873 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4+n5+n6 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) | |
874 | && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6))) | |
875 | { | |
876 | TComplex sixN = Six(n1,n2,n3,n4,n5,n6); // numerator | |
877 | Double_t sixD = Six(0,0,0,0,0,0).Re(); // denominator | |
878 | Double_t sixW = sixD; // weight TBI add other possibilities here for the weight | |
879 | if(sixD>0. && dMultRP>=6) | |
880 | { | |
881 | fEbECumulantsPro[0][5]->Fill(binNo[5]-.5,sixN.Re()/sixD,sixW); | |
882 | fEbECumulantsPro[1][5]->Fill(binNo[5]++-.5,sixN.Im()/sixD,sixW); | |
883 | } else {Warning(sMethodName.Data(),"sixD>0. && dMultRP>=6");} | |
884 | } | |
885 | if(6==fDontGoBeyond){continue;} | |
886 | // 7-p: | |
887 | for(Int_t n7=n6;n7<=fMaxHarmonic;n7++) | |
888 | { | |
889 | if(fSkipZeroHarmonics && 0==n7){continue;} | |
890 | if(fCalculateAll | |
891 | || (fCalculateIsotropic && 0==n1+n2+n3+n4+n5+n6+n7) | |
892 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) | |
893 | && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6) && TMath::Abs(n1)==TMath::Abs(n7)) | |
894 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4+n5+n6+n7 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) | |
895 | && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6) | |
896 | && TMath::Abs(n1)==TMath::Abs(n7))) | |
897 | { | |
898 | TComplex sevenN = Seven(n1,n2,n3,n4,n5,n6,n7); // numerator | |
899 | Double_t sevenD = Seven(0,0,0,0,0,0,0).Re(); // denominator | |
900 | Double_t sevenW = sevenD; // weight TBI add other possibilities here for the weight | |
901 | if(sevenD>0. && dMultRP>=7) | |
902 | { | |
903 | fEbECumulantsPro[0][6]->Fill(binNo[6]-.5,sevenN.Re()/sevenD,sevenW); | |
904 | fEbECumulantsPro[1][6]->Fill(binNo[6]++-.5,sevenN.Im()/sevenD,sevenW); | |
905 | } else {Warning(sMethodName.Data(),"sevenD>0. && dMultRP>=7");} | |
906 | } | |
907 | if(7==fDontGoBeyond){continue;} | |
908 | // 8-p: | |
909 | for(Int_t n8=n7;n8<=fMaxHarmonic;n8++) | |
910 | { | |
911 | if(fSkipZeroHarmonics && 0==n8){continue;} | |
912 | if(fCalculateAll | |
913 | || (fCalculateIsotropic && 0==n1+n2+n3+n4+n5+n6+n7+n8) | |
914 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) | |
915 | && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6) && TMath::Abs(n1)==TMath::Abs(n7) | |
916 | && TMath::Abs(n1)==TMath::Abs(n8)) | |
917 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4+n5+n6+n7+n8 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) | |
918 | && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6) | |
919 | && TMath::Abs(n1)==TMath::Abs(n7) && TMath::Abs(n1)==TMath::Abs(n8))) | |
920 | { | |
921 | TComplex eightN = Eight(n1,n2,n3,n4,n5,n6,n7,n8); // numerator | |
922 | Double_t eightD = Eight(0,0,0,0,0,0,0,0).Re(); // denominator | |
923 | Double_t eightW = eightD; // weight TBI add other possibilities here for the weight | |
924 | if(eightD>0. && dMultRP>=8) | |
925 | { | |
926 | fEbECumulantsPro[0][7]->Fill(binNo[7]-.5,eightN.Re()/eightD,eightW); | |
927 | fEbECumulantsPro[1][7]->Fill(binNo[7]++-.5,eightN.Im()/eightD,eightW); | |
928 | } | |
929 | } | |
930 | } // for(Int_t n8=n7;n8<=fMaxHarmonic;n8++) | |
931 | } // for(Int_t n7=n6;n7<=fMaxHarmonic;n7++) | |
932 | } // for(Int_t n6=n5;n6<=fMaxHarmonic;n6++) | |
933 | } // for(Int_t n5=n4;n5<=fMaxHarmonic;n5++) | |
934 | } // for(Int_t n4=n3;n4<=fMaxHarmonic;n4++) | |
935 | } // for(Int_t n3=n2;n3<=fMaxHarmonic;n3++) | |
936 | ||
937 | */ | |
938 | ||
939 | } // for(Int_t n2=n1;n2<=fMaxHarmonic;n2++) | |
940 | } // for(Int_t n1=-fMaxHarmonic;n1<=fMaxHarmonic;n1++) | |
941 | ||
942 | } // void AliFlowAnalysisWithMultiparticleCorrelations::CalculateEbECumulants(AliFlowEventSimple *anEvent) | |
943 | ||
944 | //======================================================================================================================= | |
945 | ||
946 | void AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckWithNestedLoops(AliFlowEventSimple *anEvent) | |
947 | { | |
948 | // Cross-check results for multi-particle correlations with nested loops. | |
949 | ||
950 | // TBI add few comments here, there and over there | |
951 | // TBI this method is rather messy :'( | |
952 | ||
953 | Int_t h1 = (Int_t)fNestedLoopsFlagsPro->GetBinContent(2); | |
954 | Int_t h2 = (Int_t)fNestedLoopsFlagsPro->GetBinContent(3); | |
955 | Int_t h3 = (Int_t)fNestedLoopsFlagsPro->GetBinContent(4); | |
956 | Int_t h4 = (Int_t)fNestedLoopsFlagsPro->GetBinContent(5); | |
957 | Int_t h5 = (Int_t)fNestedLoopsFlagsPro->GetBinContent(6); | |
958 | Int_t h6 = (Int_t)fNestedLoopsFlagsPro->GetBinContent(7); | |
959 | Int_t h7 = (Int_t)fNestedLoopsFlagsPro->GetBinContent(8); | |
960 | Int_t h8 = (Int_t)fNestedLoopsFlagsPro->GetBinContent(9); | |
961 | ||
962 | this->ResetQvector(); | |
963 | this->FillQvector(anEvent); | |
964 | ||
965 | if(TMath::Abs(One(0).Re())>0.) | |
966 | { | |
967 | fNestedLoopsResultsCosPro->Fill(1.5,One(h1).Re()/One(0).Re(),One(0).Re()); | |
968 | fNestedLoopsResultsSinPro->Fill(1.5,One(h1).Im()/One(0).Re(),One(0).Re()); | |
969 | } | |
970 | if(TMath::Abs(Two(0,0).Re())>0.) | |
971 | { | |
972 | fNestedLoopsResultsCosPro->Fill(3.5,Two(h1,h2).Re()/Two(0,0).Re(),Two(0,0).Re()); | |
973 | fNestedLoopsResultsSinPro->Fill(3.5,Two(h1,h2).Im()/Two(0,0).Re(),Two(0,0).Re()); | |
974 | } | |
975 | if(TMath::Abs(Three(0,0,0).Re())>0.) | |
976 | { | |
977 | fNestedLoopsResultsCosPro->Fill(5.5,Three(h1,h2,h3).Re()/Three(0,0,0).Re(),Three(0,0,0).Re()); | |
978 | fNestedLoopsResultsSinPro->Fill(5.5,Three(h1,h2,h3).Im()/Three(0,0,0).Re(),Three(0,0,0).Re()); | |
979 | } | |
980 | if(TMath::Abs(Four(0,0,0,0).Re())>0.) | |
981 | { | |
982 | fNestedLoopsResultsCosPro->Fill(7.5,Four(h1,h2,h3,h4).Re()/Four(0,0,0,0).Re(),Four(0,0,0,0).Re()); | |
983 | fNestedLoopsResultsSinPro->Fill(7.5,Four(h1,h2,h3,h4).Im()/Four(0,0,0,0).Re(),Four(0,0,0,0).Re()); | |
984 | } | |
985 | if(TMath::Abs(Five(0,0,0,0,0).Re())>0.) | |
986 | { | |
987 | fNestedLoopsResultsCosPro->Fill(9.5,Five(h1,h2,h3,h4,h5).Re()/Five(0,0,0,0,0).Re(),Five(0,0,0,0,0).Re()); | |
988 | fNestedLoopsResultsSinPro->Fill(9.5,Five(h1,h2,h3,h4,h5).Im()/Five(0,0,0,0,0).Re(),Five(0,0,0,0,0).Re()); | |
989 | } | |
990 | if(TMath::Abs(Six(0,0,0,0,0,0).Re())>0.) | |
991 | { | |
992 | fNestedLoopsResultsCosPro->Fill(11.5,Six(h1,h2,h3,h4,h5,h6).Re()/Six(0,0,0,0,0,0).Re(),Six(0,0,0,0,0,0).Re()); | |
993 | fNestedLoopsResultsSinPro->Fill(11.5,Six(h1,h2,h3,h4,h5,h6).Im()/Six(0,0,0,0,0,0).Re(),Six(0,0,0,0,0,0).Re()); | |
994 | } | |
995 | if(TMath::Abs(Seven(0,0,0,0,0,0,0).Re())>0.) | |
996 | { | |
997 | fNestedLoopsResultsCosPro->Fill(13.5,Seven(h1,h2,h3,h4,h5,h6,h7).Re()/Seven(0,0,0,0,0,0,0).Re(),Seven(0,0,0,0,0,0,0).Re()); | |
998 | fNestedLoopsResultsSinPro->Fill(13.5,Seven(h1,h2,h3,h4,h5,h6,h7).Im()/Seven(0,0,0,0,0,0,0).Re(),Seven(0,0,0,0,0,0,0).Re()); | |
999 | } | |
1000 | if(TMath::Abs(Eight(0,0,0,0,0,0,0,0).Re())>0.) | |
1001 | { | |
1002 | fNestedLoopsResultsCosPro->Fill(15.5,Eight(h1,h2,h3,h4,h5,h6,h7,h8).Re()/Eight(0,0,0,0,0,0,0,0).Re(),Eight(0,0,0,0,0,0,0,0).Re()); | |
1003 | fNestedLoopsResultsSinPro->Fill(15.5,Eight(h1,h2,h3,h4,h5,h6,h7,h8).Im()/Eight(0,0,0,0,0,0,0,0).Re(),Eight(0,0,0,0,0,0,0,0).Re()); | |
1004 | } | |
1005 | ||
1006 | Int_t nPrim = anEvent->NumberOfTracks(); | |
1007 | Double_t dMultRP = anEvent->GetNumberOfRPs(); // TBI shall I promote this variable into data member? | |
1008 | AliFlowTrackSimple *aftsTrack = NULL; | |
1009 | Double_t dPhi1=0.,dPhi2=0.,dPhi3=0.,dPhi4=0.,dPhi5=0.,dPhi6=0.,dPhi7=0.,dPhi8=0.; | |
1010 | Double_t wPhi1=1.,wPhi2=1.,wPhi3=1.,wPhi4=1.,wPhi5=1.,wPhi6=1.,wPhi7=1.,wPhi8=1.; | |
1011 | ||
1012 | // 1-particle stuff: TBI | |
1013 | if(dMultRP>=1) | |
1014 | { | |
1015 | for(Int_t i1=0;i1<nPrim;i1++) | |
1016 | { | |
1017 | aftsTrack = anEvent->GetTrack(i1); | |
1018 | if(!(aftsTrack->InRPSelection())){continue;} | |
1019 | dPhi1 = aftsTrack->Phi(); | |
1020 | if(fUseWeights[0][0]){wPhi1 = Weight(dPhi1,"RP","phi");} | |
1021 | // Fill: | |
1022 | fNestedLoopsResultsCosPro->Fill(0.5,TMath::Cos(h1*dPhi1),wPhi1); | |
1023 | fNestedLoopsResultsSinPro->Fill(0.5,TMath::Sin(h1*dPhi1),wPhi1); | |
1024 | } // end of for(Int_t i1=0;i1<nPrim;i1++) | |
1025 | } // end of if(nPrim>=1) | |
1026 | ||
1027 | // 2-particle correlations: | |
1028 | if(dMultRP>=2) | |
1029 | { | |
1030 | for(Int_t i1=0;i1<nPrim;i1++) | |
1031 | { | |
1032 | aftsTrack = anEvent->GetTrack(i1); | |
1033 | if(!(aftsTrack->InRPSelection())){continue;} | |
1034 | dPhi1 = aftsTrack->Phi(); | |
1035 | if(fUseWeights[0][0]){wPhi1 = Weight(dPhi1,"RP","phi");} | |
1036 | for(Int_t i2=0;i2<nPrim;i2++) | |
1037 | { | |
1038 | if(i2==i1){continue;} | |
1039 | aftsTrack = anEvent->GetTrack(i2); | |
1040 | if(!(aftsTrack->InRPSelection())){continue;} | |
1041 | dPhi2 = aftsTrack->Phi(); | |
1042 | if(fUseWeights[0][0]){wPhi2 = Weight(dPhi2,"RP","phi");} | |
1043 | // Fill: | |
1044 | fNestedLoopsResultsCosPro->Fill(2.5,TMath::Cos(h1*dPhi1+h2*dPhi2),wPhi1*wPhi2); | |
1045 | fNestedLoopsResultsSinPro->Fill(2.5,TMath::Sin(h1*dPhi1+h2*dPhi2),wPhi1*wPhi2); | |
1046 | } // end of for(Int_t i2=0;i2<nPrim;i2++) | |
1047 | } // end of for(Int_t i1=0;i1<nPrim;i1++) | |
1048 | } // end of if(nPrim>=2) | |
1049 | ||
1050 | // 3-particle correlations: | |
1051 | if(dMultRP>=3) | |
1052 | { | |
1053 | for(Int_t i1=0;i1<nPrim;i1++) | |
1054 | { | |
1055 | aftsTrack=anEvent->GetTrack(i1); | |
1056 | if(!(aftsTrack->InRPSelection())){continue;} | |
1057 | dPhi1=aftsTrack->Phi(); | |
1058 | if(fUseWeights[0][0]){wPhi1 = Weight(dPhi1,"RP","phi");} | |
1059 | for(Int_t i2=0;i2<nPrim;i2++) | |
1060 | { | |
1061 | if(i2==i1){continue;} | |
1062 | aftsTrack=anEvent->GetTrack(i2); | |
1063 | if(!(aftsTrack->InRPSelection())){continue;} | |
1064 | dPhi2=aftsTrack->Phi(); | |
1065 | if(fUseWeights[0][0]){wPhi2 = Weight(dPhi2,"RP","phi");} | |
1066 | for(Int_t i3=0;i3<nPrim;i3++) | |
1067 | { | |
1068 | if(i3==i1||i3==i2){continue;} | |
1069 | aftsTrack=anEvent->GetTrack(i3); | |
1070 | if(!(aftsTrack->InRPSelection())){continue;} | |
1071 | dPhi3=aftsTrack->Phi(); | |
1072 | if(fUseWeights[0][0]){wPhi3 = Weight(dPhi3,"RP","phi");} | |
1073 | // Fill: | |
1074 | fNestedLoopsResultsCosPro->Fill(4.5,TMath::Cos(h1*dPhi1+h2*dPhi2+h3*dPhi3),wPhi1*wPhi2*wPhi3); | |
1075 | fNestedLoopsResultsSinPro->Fill(4.5,TMath::Sin(h1*dPhi1+h2*dPhi2+h3*dPhi3),wPhi1*wPhi2*wPhi3); | |
1076 | } // end of for(Int_t i3=0;i3<nPrim;i3++) | |
1077 | } // end of for(Int_t i2=0;i2<nPrim;i2++) | |
1078 | } // end of for(Int_t i1=0;i1<nPrim;i1++) | |
1079 | } // end of if(nPrim>=3) | |
1080 | ||
1081 | // 4-particle correlations: | |
1082 | if(dMultRP>=4) | |
1083 | { | |
1084 | for(Int_t i1=0;i1<nPrim;i1++) | |
1085 | { | |
1086 | aftsTrack=anEvent->GetTrack(i1); | |
1087 | if(!(aftsTrack->InRPSelection())){continue;} | |
1088 | dPhi1=aftsTrack->Phi(); | |
1089 | if(fUseWeights[0][0]){wPhi1 = Weight(dPhi1,"RP","phi");} | |
1090 | for(Int_t i2=0;i2<nPrim;i2++) | |
1091 | { | |
1092 | if(i2==i1){continue;} | |
1093 | aftsTrack=anEvent->GetTrack(i2); | |
1094 | if(!(aftsTrack->InRPSelection())){continue;} | |
1095 | dPhi2=aftsTrack->Phi(); | |
1096 | if(fUseWeights[0][0]){wPhi2 = Weight(dPhi2,"RP","phi");} | |
1097 | for(Int_t i3=0;i3<nPrim;i3++) | |
1098 | { | |
1099 | if(i3==i1||i3==i2){continue;} | |
1100 | aftsTrack=anEvent->GetTrack(i3); | |
1101 | if(!(aftsTrack->InRPSelection())){continue;} | |
1102 | dPhi3=aftsTrack->Phi(); | |
1103 | if(fUseWeights[0][0]){wPhi3 = Weight(dPhi3,"RP","phi");} | |
1104 | for(Int_t i4=0;i4<nPrim;i4++) | |
1105 | { | |
1106 | if(i4==i1||i4==i2||i4==i3){continue;} | |
1107 | aftsTrack=anEvent->GetTrack(i4); | |
1108 | if(!(aftsTrack->InRPSelection())){continue;} | |
1109 | dPhi4=aftsTrack->Phi(); | |
1110 | if(fUseWeights[0][0]){wPhi4 = Weight(dPhi4,"RP","phi");} | |
1111 | // Fill: | |
1112 | fNestedLoopsResultsCosPro->Fill(6.5,TMath::Cos(h1*dPhi1+h2*dPhi2+h3*dPhi3+h4*dPhi4),wPhi1*wPhi2*wPhi3*wPhi4); | |
1113 | fNestedLoopsResultsSinPro->Fill(6.5,TMath::Sin(h1*dPhi1+h2*dPhi2+h3*dPhi3+h4*dPhi4),wPhi1*wPhi2*wPhi3*wPhi4); | |
1114 | } // end of for(Int_t i4=0;i4<nPrim;i4++) | |
1115 | } // end of for(Int_t i3=0;i3<nPrim;i3++) | |
1116 | } // end of for(Int_t i2=0;i2<nPrim;i2++) | |
1117 | } // end of for(Int_t i1=0;i1<nPrim;i1++) | |
1118 | } // end of if(nPrim>=) | |
1119 | ||
1120 | // 5-particle correlations: | |
1121 | if(dMultRP>=5) | |
1122 | { | |
1123 | for(Int_t i1=0;i1<nPrim;i1++) | |
1124 | { | |
1125 | aftsTrack=anEvent->GetTrack(i1); | |
1126 | if(!(aftsTrack->InRPSelection())){continue;} | |
1127 | dPhi1=aftsTrack->Phi(); | |
1128 | if(fUseWeights[0][0]){wPhi1 = Weight(dPhi1,"RP","phi");} | |
1129 | for(Int_t i2=0;i2<nPrim;i2++) | |
1130 | { | |
1131 | if(i2==i1){continue;} | |
1132 | aftsTrack=anEvent->GetTrack(i2); | |
1133 | if(!(aftsTrack->InRPSelection())){continue;} | |
1134 | dPhi2=aftsTrack->Phi(); | |
1135 | if(fUseWeights[0][0]){wPhi2 = Weight(dPhi2,"RP","phi");} | |
1136 | for(Int_t i3=0;i3<nPrim;i3++) | |
1137 | { | |
1138 | if(i3==i1||i3==i2){continue;} | |
1139 | aftsTrack=anEvent->GetTrack(i3); | |
1140 | if(!(aftsTrack->InRPSelection())){continue;} | |
1141 | dPhi3=aftsTrack->Phi(); | |
1142 | if(fUseWeights[0][0]){wPhi3 = Weight(dPhi3,"RP","phi");} | |
1143 | for(Int_t i4=0;i4<nPrim;i4++) | |
1144 | { | |
1145 | if(i4==i1||i4==i2||i4==i3){continue;} | |
1146 | aftsTrack=anEvent->GetTrack(i4); | |
1147 | if(!(aftsTrack->InRPSelection())){continue;} | |
1148 | dPhi4=aftsTrack->Phi(); | |
1149 | if(fUseWeights[0][0]){wPhi4 = Weight(dPhi4,"RP","phi");} | |
1150 | for(Int_t i5=0;i5<nPrim;i5++) | |
1151 | { | |
1152 | if(i5==i1||i5==i2||i5==i3||i5==i4){continue;} | |
1153 | aftsTrack=anEvent->GetTrack(i5); | |
1154 | if(!(aftsTrack->InRPSelection())){continue;} | |
1155 | dPhi5=aftsTrack->Phi(); | |
1156 | if(fUseWeights[0][0]){wPhi5 = Weight(dPhi5,"RP","phi");} | |
1157 | // Fill: | |
1158 | fNestedLoopsResultsCosPro->Fill(8.5,TMath::Cos(h1*dPhi1+h2*dPhi2+h3*dPhi3+h4*dPhi4+h5*dPhi5),wPhi1*wPhi2*wPhi3*wPhi4*wPhi5); | |
1159 | fNestedLoopsResultsSinPro->Fill(8.5,TMath::Sin(h1*dPhi1+h2*dPhi2+h3*dPhi3+h4*dPhi4+h5*dPhi5),wPhi1*wPhi2*wPhi3*wPhi4*wPhi5); | |
1160 | } // end of for(Int_t i5=0;i5<nPrim;i5++) | |
1161 | } // end of for(Int_t i4=0;i4<nPrim;i4++) | |
1162 | } // end of for(Int_t i3=0;i3<nPrim;i3++) | |
1163 | } // end of for(Int_t i2=0;i2<nPrim;i2++) | |
1164 | } // end of for(Int_t i1=0;i1<nPrim;i1++) | |
1165 | } // end of if(nPrim>=5) | |
1166 | ||
1167 | // 6-particle correlations: | |
1168 | if(dMultRP>=6) | |
1169 | { | |
1170 | for(Int_t i1=0;i1<nPrim;i1++) | |
1171 | { | |
1172 | aftsTrack=anEvent->GetTrack(i1); | |
1173 | if(!(aftsTrack->InRPSelection())){continue;} | |
1174 | dPhi1=aftsTrack->Phi(); | |
1175 | if(fUseWeights[0][0]){wPhi1 = Weight(dPhi1,"RP","phi");} | |
1176 | for(Int_t i2=0;i2<nPrim;i2++) | |
1177 | { | |
1178 | if(i2==i1){continue;} | |
1179 | aftsTrack=anEvent->GetTrack(i2); | |
1180 | if(!(aftsTrack->InRPSelection())){continue;} | |
1181 | dPhi2=aftsTrack->Phi(); | |
1182 | if(fUseWeights[0][0]){wPhi2 = Weight(dPhi2,"RP","phi");} | |
1183 | for(Int_t i3=0;i3<nPrim;i3++) | |
1184 | { | |
1185 | if(i3==i1||i3==i2){continue;} | |
1186 | aftsTrack=anEvent->GetTrack(i3); | |
1187 | if(!(aftsTrack->InRPSelection())){continue;} | |
1188 | dPhi3=aftsTrack->Phi(); | |
1189 | if(fUseWeights[0][0]){wPhi3 = Weight(dPhi3,"RP","phi");} | |
1190 | for(Int_t i4=0;i4<nPrim;i4++) | |
1191 | { | |
1192 | if(i4==i1||i4==i2||i4==i3){continue;} | |
1193 | aftsTrack=anEvent->GetTrack(i4); | |
1194 | if(!(aftsTrack->InRPSelection())){continue;} | |
1195 | dPhi4=aftsTrack->Phi(); | |
1196 | if(fUseWeights[0][0]){wPhi4 = Weight(dPhi4,"RP","phi");} | |
1197 | for(Int_t i5=0;i5<nPrim;i5++) | |
1198 | { | |
1199 | if(i5==i1||i5==i2||i5==i3||i5==i4){continue;} | |
1200 | aftsTrack=anEvent->GetTrack(i5); | |
1201 | if(!(aftsTrack->InRPSelection())){continue;} | |
1202 | dPhi5=aftsTrack->Phi(); | |
1203 | if(fUseWeights[0][0]){wPhi5=Weight(dPhi5,"RP","phi");} | |
1204 | for(Int_t i6=0;i6<nPrim;i6++) | |
1205 | { | |
1206 | if(i6==i1||i6==i2||i6==i3||i6==i4||i6==i5){continue;} | |
1207 | aftsTrack=anEvent->GetTrack(i6); | |
1208 | if(!(aftsTrack->InRPSelection())){continue;} | |
1209 | dPhi6=aftsTrack->Phi(); | |
1210 | if(fUseWeights[0][0]){wPhi6=Weight(dPhi6,"RP","phi");} | |
1211 | // Fill: | |
1212 | fNestedLoopsResultsCosPro->Fill(10.5,TMath::Cos(h1*dPhi1+h2*dPhi2+h3*dPhi3+h4*dPhi4+h5*dPhi5+h6*dPhi6),wPhi1*wPhi2*wPhi3*wPhi4*wPhi5*wPhi6); | |
1213 | fNestedLoopsResultsSinPro->Fill(10.5,TMath::Sin(h1*dPhi1+h2*dPhi2+h3*dPhi3+h4*dPhi4+h5*dPhi5+h6*dPhi6),wPhi1*wPhi2*wPhi3*wPhi4*wPhi5*wPhi6); | |
1214 | } // end of for(Int_t i6=0;i6<nPrim;i6++) | |
1215 | } // end of for(Int_t i5=0;i5<nPrim;i5++) | |
1216 | } // end of for(Int_t i4=0;i4<nPrim;i4++) | |
1217 | } // end of for(Int_t i3=0;i3<nPrim;i3++) | |
1218 | } // end of for(Int_t i2=0;i2<nPrim;i2++) | |
1219 | } // end of for(Int_t i1=0;i1<nPrim;i1++) | |
1220 | } // end of if(nPrim>=6) | |
1221 | ||
1222 | // 7-particle correlations: | |
1223 | if(dMultRP>=7) | |
1224 | { | |
1225 | for(Int_t i1=0;i1<nPrim;i1++) | |
1226 | { | |
1227 | aftsTrack=anEvent->GetTrack(i1); | |
1228 | if(!(aftsTrack->InRPSelection())){continue;} | |
1229 | dPhi1=aftsTrack->Phi(); | |
1230 | if(fUseWeights[0][0]){wPhi1=Weight(dPhi1,"RP","phi");} | |
1231 | for(Int_t i2=0;i2<nPrim;i2++) | |
1232 | { | |
1233 | if(i2==i1){continue;} | |
1234 | aftsTrack=anEvent->GetTrack(i2); | |
1235 | if(!(aftsTrack->InRPSelection())){continue;} | |
1236 | dPhi2=aftsTrack->Phi(); | |
1237 | if(fUseWeights[0][0]){wPhi2=Weight(dPhi2,"RP","phi");} | |
1238 | for(Int_t i3=0;i3<nPrim;i3++) | |
1239 | { | |
1240 | if(i3==i1||i3==i2){continue;} | |
1241 | aftsTrack=anEvent->GetTrack(i3); | |
1242 | if(!(aftsTrack->InRPSelection())){continue;} | |
1243 | dPhi3=aftsTrack->Phi(); | |
1244 | if(fUseWeights[0][0]){wPhi3=Weight(dPhi3,"RP","phi");} | |
1245 | for(Int_t i4=0;i4<nPrim;i4++) | |
1246 | { | |
1247 | if(i4==i1||i4==i2||i4==i3){continue;} | |
1248 | aftsTrack=anEvent->GetTrack(i4); | |
1249 | if(!(aftsTrack->InRPSelection())){continue;} | |
1250 | dPhi4=aftsTrack->Phi(); | |
1251 | if(fUseWeights[0][0]){wPhi4=Weight(dPhi4,"RP","phi");} | |
1252 | for(Int_t i5=0;i5<nPrim;i5++) | |
1253 | { | |
1254 | if(i5==i1||i5==i2||i5==i3||i5==i4){continue;} | |
1255 | aftsTrack=anEvent->GetTrack(i5); | |
1256 | if(!(aftsTrack->InRPSelection())){continue;} | |
1257 | dPhi5=aftsTrack->Phi(); | |
1258 | if(fUseWeights[0][0]){wPhi5=Weight(dPhi5,"RP","phi");} | |
1259 | for(Int_t i6=0;i6<nPrim;i6++) | |
1260 | { | |
1261 | if(i6==i1||i6==i2||i6==i3||i6==i4||i6==i5){continue;} | |
1262 | aftsTrack=anEvent->GetTrack(i6); | |
1263 | if(!(aftsTrack->InRPSelection())){continue;} | |
1264 | dPhi6=aftsTrack->Phi(); | |
1265 | if(fUseWeights[0][0]){wPhi6=Weight(dPhi6,"RP","phi");} | |
1266 | for(Int_t i7=0;i7<nPrim;i7++) | |
1267 | { | |
1268 | if(i7==i1||i7==i2||i7==i3||i7==i4||i7==i5||i7==i6){continue;} | |
1269 | aftsTrack=anEvent->GetTrack(i7); | |
1270 | if(!(aftsTrack->InRPSelection())){continue;} | |
1271 | dPhi7=aftsTrack->Phi(); | |
1272 | if(fUseWeights[0][0]){wPhi7=Weight(dPhi7,"RP","phi");} | |
1273 | // Fill: | |
1274 | fNestedLoopsResultsCosPro->Fill(12.5,TMath::Cos(h1*dPhi1+h2*dPhi2+h3*dPhi3+h4*dPhi4+h5*dPhi5+h6*dPhi6+h7*dPhi7),wPhi1*wPhi2*wPhi3*wPhi4*wPhi5*wPhi6*wPhi7); | |
1275 | fNestedLoopsResultsSinPro->Fill(12.5,TMath::Sin(h1*dPhi1+h2*dPhi2+h3*dPhi3+h4*dPhi4+h5*dPhi5+h6*dPhi6+h7*dPhi7),wPhi1*wPhi2*wPhi3*wPhi4*wPhi5*wPhi6*wPhi7); | |
1276 | } // end of for(Int_t i7=0;i7<nPrim;i7++) | |
1277 | } // end of for(Int_t i6=0;i6<nPrim;i6++) | |
1278 | } // end of for(Int_t i5=0;i5<nPrim;i5++) | |
1279 | } // end of for(Int_t i4=0;i4<nPrim;i4++) | |
1280 | } // end of for(Int_t i3=0;i3<nPrim;i3++) | |
1281 | } // end of for(Int_t i2=0;i2<nPrim;i2++) | |
1282 | } // end of for(Int_t i1=0;i1<nPrim;i1++) | |
1283 | } // end of if(nPrim>=7) | |
1284 | ||
1285 | // 8-particle correlations: | |
1286 | if(dMultRP>=8) | |
1287 | { | |
1288 | for(Int_t i1=0;i1<nPrim;i1++) | |
1289 | { | |
1290 | aftsTrack=anEvent->GetTrack(i1); | |
1291 | if(!(aftsTrack->InRPSelection())){continue;} | |
1292 | dPhi1=aftsTrack->Phi(); | |
1293 | if(fUseWeights[0][0]){wPhi1=Weight(dPhi1,"RP","phi");} | |
1294 | for(Int_t i2=0;i2<nPrim;i2++) | |
1295 | { | |
1296 | if(i2==i1){continue;} | |
1297 | aftsTrack=anEvent->GetTrack(i2); | |
1298 | if(!(aftsTrack->InRPSelection())){continue;} | |
1299 | dPhi2=aftsTrack->Phi(); | |
1300 | if(fUseWeights[0][0]){wPhi2=Weight(dPhi2,"RP","phi");} | |
1301 | for(Int_t i3=0;i3<nPrim;i3++) | |
1302 | { | |
1303 | if(i3==i1||i3==i2){continue;} | |
1304 | aftsTrack=anEvent->GetTrack(i3); | |
1305 | if(!(aftsTrack->InRPSelection())){continue;} | |
1306 | dPhi3=aftsTrack->Phi(); | |
1307 | if(fUseWeights[0][0]){wPhi3=Weight(dPhi3,"RP","phi");} | |
1308 | for(Int_t i4=0;i4<nPrim;i4++) | |
1309 | { | |
1310 | if(i4==i1||i4==i2||i4==i3){continue;} | |
1311 | aftsTrack=anEvent->GetTrack(i4); | |
1312 | if(!(aftsTrack->InRPSelection())){continue;} | |
1313 | dPhi4=aftsTrack->Phi(); | |
1314 | if(fUseWeights[0][0]){wPhi4=Weight(dPhi4,"RP","phi");} | |
1315 | for(Int_t i5=0;i5<nPrim;i5++) | |
1316 | { | |
1317 | if(i5==i1||i5==i2||i5==i3||i5==i4){continue;} | |
1318 | aftsTrack=anEvent->GetTrack(i5); | |
1319 | if(!(aftsTrack->InRPSelection())){continue;} | |
1320 | dPhi5=aftsTrack->Phi(); | |
1321 | if(fUseWeights[0][0]){wPhi5=Weight(dPhi5,"RP","phi");} | |
1322 | for(Int_t i6=0;i6<nPrim;i6++) | |
1323 | { | |
1324 | if(i6==i1||i6==i2||i6==i3||i6==i4||i6==i5){continue;} | |
1325 | aftsTrack=anEvent->GetTrack(i6); | |
1326 | if(!(aftsTrack->InRPSelection())){continue;} | |
1327 | dPhi6=aftsTrack->Phi(); | |
1328 | if(fUseWeights[0][0]){wPhi6=Weight(dPhi6,"RP","phi");} | |
1329 | for(Int_t i7=0;i7<nPrim;i7++) | |
1330 | { | |
1331 | if(i7==i1||i7==i2||i7==i3||i7==i4||i7==i5||i7==i6){continue;} | |
1332 | aftsTrack=anEvent->GetTrack(i7); | |
1333 | if(!(aftsTrack->InRPSelection())){continue;} | |
1334 | dPhi7=aftsTrack->Phi(); | |
1335 | if(fUseWeights[0][0]){wPhi7=Weight(dPhi7,"RP","phi");} | |
1336 | for(Int_t i8=0;i8<nPrim;i8++) | |
1337 | { | |
1338 | if(i8==i1||i8==i2||i8==i3||i8==i4||i8==i5||i8==i6||i8==i7){continue;} | |
1339 | aftsTrack=anEvent->GetTrack(i8); | |
1340 | if(!(aftsTrack->InRPSelection())){continue;} | |
1341 | dPhi8=aftsTrack->Phi(); | |
1342 | if(fUseWeights[0][0]){wPhi8=Weight(dPhi8,"RP","phi");} | |
1343 | // Fill: | |
1344 | fNestedLoopsResultsCosPro->Fill(14.5,TMath::Cos(h1*dPhi1+h2*dPhi2+h3*dPhi3+h4*dPhi4+h5*dPhi5+h6*dPhi6+h7*dPhi7+h8*dPhi8),wPhi1*wPhi2*wPhi3*wPhi4*wPhi5*wPhi6*wPhi7*wPhi8); | |
1345 | fNestedLoopsResultsSinPro->Fill(14.5,TMath::Sin(h1*dPhi1+h2*dPhi2+h3*dPhi3+h4*dPhi4+h5*dPhi5+h6*dPhi6+h7*dPhi7+h8*dPhi8),wPhi1*wPhi2*wPhi3*wPhi4*wPhi5*wPhi6*wPhi7*wPhi8); | |
1346 | } // end of for(Int_t i8=0;i8<nPrim;i8++) | |
1347 | } // end of for(Int_t i7=0;i7<nPrim;i7++) | |
1348 | } // end of for(Int_t i6=0;i6<nPrim;i6++) | |
1349 | } // end of for(Int_t i5=0;i5<nPrim;i5++) | |
1350 | } // end of for(Int_t i4=0;i4<nPrim;i4++) | |
1351 | } // end of for(Int_t i3=0;i3<nPrim;i3++) | |
1352 | } // end of for(Int_t i2=0;i2<nPrim;i2++) | |
1353 | } // end of for(Int_t i1=0;i1<nPrim;i1++) | |
1354 | } // end of if(nPrim>=8) | |
1355 | ||
1356 | // *) Printout: TBI move somewhere else | |
1357 | printf("\n cosine:"); | |
1358 | printf("\n 1-p => Q-vector: %.12f",fNestedLoopsResultsCosPro->GetBinContent(2)); | |
1359 | printf("\n 1-p => Nested loops: %.12f",fNestedLoopsResultsCosPro->GetBinContent(1)); | |
1360 | printf("\n 2-p => Q-vector: %.12f",fNestedLoopsResultsCosPro->GetBinContent(4)); | |
1361 | printf("\n 2-p => Nested loops: %.12f",fNestedLoopsResultsCosPro->GetBinContent(3)); | |
1362 | printf("\n 3-p => Q-vector: %.12f",fNestedLoopsResultsCosPro->GetBinContent(6)); | |
1363 | printf("\n 3-p => Nested loops: %.12f",fNestedLoopsResultsCosPro->GetBinContent(5)); | |
1364 | printf("\n 4-p => Q-vector: %.12f",fNestedLoopsResultsCosPro->GetBinContent(8)); | |
1365 | printf("\n 4-p => Nested loops: %.12f",fNestedLoopsResultsCosPro->GetBinContent(7)); | |
1366 | printf("\n 5-p => Q-vector: %.12f",fNestedLoopsResultsCosPro->GetBinContent(10)); | |
1367 | printf("\n 5-p => Nested loops: %.12f",fNestedLoopsResultsCosPro->GetBinContent(9)); | |
1368 | printf("\n 6-p => Q-vector: %.12f",fNestedLoopsResultsCosPro->GetBinContent(12)); | |
1369 | printf("\n 6-p => Nested loops: %.12f",fNestedLoopsResultsCosPro->GetBinContent(11)); | |
1370 | printf("\n 7-p => Q-vector: %.12f",fNestedLoopsResultsCosPro->GetBinContent(14)); | |
1371 | printf("\n 7-p => Nested loops: %.12f",fNestedLoopsResultsCosPro->GetBinContent(13)); | |
1372 | printf("\n 8-p => Q-vector: %.12f",fNestedLoopsResultsCosPro->GetBinContent(16)); | |
1373 | printf("\n 8-p => Nested loops: %.12f",fNestedLoopsResultsCosPro->GetBinContent(15)); | |
1374 | ||
1375 | printf("\n\n sinus:"); | |
1376 | printf("\n 1-p => Q-vector: %.12f",fNestedLoopsResultsSinPro->GetBinContent(2)); | |
1377 | printf("\n 1-p => Nested loops: %.12f",fNestedLoopsResultsSinPro->GetBinContent(1)); | |
1378 | printf("\n 2-p => Q-vector: %.12f",fNestedLoopsResultsSinPro->GetBinContent(4)); | |
1379 | printf("\n 2-p => Nested loops: %.12f",fNestedLoopsResultsSinPro->GetBinContent(3)); | |
1380 | printf("\n 3-p => Q-vector: %.12f",fNestedLoopsResultsSinPro->GetBinContent(6)); | |
1381 | printf("\n 3-p => Nested loops: %.12f",fNestedLoopsResultsSinPro->GetBinContent(5)); | |
1382 | printf("\n 4-p => Q-vector: %.12f",fNestedLoopsResultsSinPro->GetBinContent(8)); | |
1383 | printf("\n 4-p => Nested loops: %.12f",fNestedLoopsResultsSinPro->GetBinContent(7)); | |
1384 | printf("\n 5-p => Q-vector: %.12f",fNestedLoopsResultsSinPro->GetBinContent(10)); | |
1385 | printf("\n 5-p => Nested loops: %.12f",fNestedLoopsResultsSinPro->GetBinContent(9)); | |
1386 | printf("\n 6-p => Q-vector: %.12f",fNestedLoopsResultsSinPro->GetBinContent(12)); | |
1387 | printf("\n 6-p => Nested loops: %.12f",fNestedLoopsResultsSinPro->GetBinContent(11)); | |
1388 | printf("\n 7-p => Q-vector: %.12f",fNestedLoopsResultsSinPro->GetBinContent(14)); | |
1389 | printf("\n 7-p => Nested loops: %.12f",fNestedLoopsResultsSinPro->GetBinContent(13)); | |
1390 | printf("\n 8-p => Q-vector: %.12f",fNestedLoopsResultsSinPro->GetBinContent(16)); | |
1391 | printf("\n 8-p => Nested loops: %.12f",fNestedLoopsResultsSinPro->GetBinContent(15)); | |
1392 | ||
1393 | printf("\n\n"); | |
1394 | ||
1395 | } // void AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckWithNestedLoops(AliFlowEventSimple *anEvent) | |
1396 | ||
1397 | //======================================================================================================================= | |
1398 | ||
1399 | void AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckDiffWithNestedLoops(AliFlowEventSimple *anEvent) | |
1400 | { | |
1401 | // Cross-check results for differential multi-particle correlations with nested loops. | |
1402 | ||
1403 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckDiffWithNestedLoops(AliFlowEventSimple *anEvent)"; | |
1404 | ||
1405 | Int_t nPrim = anEvent->NumberOfTracks(); | |
1406 | AliFlowTrackSimple *aftsTrack = NULL; | |
1407 | Double_t dPsi1=0.,dPhi2=0.,dPhi3=0.,dPhi4=0.; | |
1408 | Double_t wPsi1=1.,wPhi2=1.,wPhi3=1.,wPhi4=1.; | |
1409 | ||
1410 | // TBI reiplement lines below in a more civilised manner: | |
1411 | Bool_t bCrossCheck2p = kTRUE; | |
1412 | Bool_t bCrossCheck3p = kFALSE; | |
1413 | Bool_t bCrossCheck4p = kFALSE; | |
1414 | if(Int_t(bCrossCheck2p + bCrossCheck3p + bCrossCheck4p) > 1) | |
1415 | { | |
1416 | Fatal(sMethodName.Data(),"Int_t(bCrossCheck2p + bCrossCheck3p + bCrossCheck4p) > 1"); | |
1417 | } | |
1418 | if(!(bCrossCheck2p || bCrossCheck3p || bCrossCheck4p)) | |
1419 | { | |
1420 | Fatal(sMethodName.Data(),"!(bCrossCheck2p || bCrossCheck3p || bCrossCheck4p)"); | |
1421 | } | |
1422 | Int_t nDiffBinNo=4; | |
1423 | Double_t dPt=0.; | |
1424 | ||
1425 | ||
1426 | // <2'>: | |
1427 | for(Int_t i1=0;i1<nPrim;i1++) // Loop over particles in a differential bin _55 | |
1428 | { | |
1429 | aftsTrack=anEvent->GetTrack(i1); | |
1430 | if(!(aftsTrack->InPOISelection())){continue;} | |
1431 | dPsi1=aftsTrack->Phi(); | |
1432 | dPt=aftsTrack->Pt(); | |
1433 | if(fDiffCorrelationsPro[0][1]->FindBin(dPt) != nDiffBinNo){continue;} // TBI spaghetti again | |
1434 | if(fUseWeights[1][0]){wPsi1=Weight(dPsi1,"POI","phi");} | |
1435 | for(Int_t i2=0;i2<nPrim;i2++) // Loop over particles in an event | |
1436 | { | |
1437 | if(i2==i1){continue;} // get rid of autocorrelations | |
1438 | aftsTrack=anEvent->GetTrack(i2); | |
1439 | if(!(aftsTrack->InRPSelection())){continue;} | |
1440 | dPhi2=aftsTrack->Phi(); | |
1441 | if(fUseWeights[0][0]){wPhi2=Weight(dPhi2,"RP","phi");} | |
1442 | // Fill profiles: | |
1443 | if(bCrossCheck2p){fNestedLoopsDiffResultsPro->Fill(0.5,TMath::Cos(fDiffHarmonics[1][0]*dPsi1+fDiffHarmonics[1][1]*dPhi2),wPsi1*wPhi2);} | |
1444 | } // for(Int_t i2=0;i2<nPrim;i2++) | |
1445 | } // for(Int_t i1=0;i1<nPrim;i1++) | |
1446 | ||
1447 | // <3'>: | |
1448 | for(Int_t i1=0;i1<nPrim;i1++) // Loop over particles in a differential bin | |
1449 | { | |
1450 | aftsTrack=anEvent->GetTrack(i1); | |
1451 | if(!(aftsTrack->InPOISelection())){continue;} | |
1452 | dPsi1=aftsTrack->Phi(); | |
1453 | dPt=aftsTrack->Pt(); | |
1454 | if(fDiffCorrelationsPro[0][1]->FindBin(dPt) != nDiffBinNo){continue;} // TBI spaghetti again | |
1455 | if(fUseWeights[1][0]){wPsi1=Weight(dPsi1,"POI","phi");} | |
1456 | for(Int_t i2=0;i2<nPrim;i2++) // Loop over particles in an event | |
1457 | { | |
1458 | if(i2==i1){continue;} // get rid of autocorrelations | |
1459 | aftsTrack=anEvent->GetTrack(i2); | |
1460 | if(!(aftsTrack->InRPSelection())){continue;} | |
1461 | dPhi2=aftsTrack->Phi(); | |
1462 | if(fUseWeights[0][0]){wPhi2=Weight(dPhi2,"RP","phi");} | |
1463 | for(Int_t i3=0;i3<nPrim;i3++) | |
1464 | { | |
1465 | if(i3==i1||i3==i2){continue;} // get rid of autocorrelations | |
1466 | aftsTrack=anEvent->GetTrack(i3); | |
1467 | if(!(aftsTrack->InRPSelection())){continue;} | |
1468 | dPhi3=aftsTrack->Phi(); | |
1469 | if(fUseWeights[0][0]){wPhi3=Weight(dPhi3,"RP","phi");} | |
1470 | // Fill the profiles: | |
1471 | if(bCrossCheck3p){fNestedLoopsDiffResultsPro->Fill(0.5,TMath::Cos(fDiffHarmonics[2][0]*dPsi1+fDiffHarmonics[2][1]*dPhi2+fDiffHarmonics[2][2]*dPhi3),wPsi1*wPhi2*wPhi3); } | |
1472 | } // end of for(Int_t i3=0;i3<nPrim;i3++) | |
1473 | } // for(Int_t i2=0;i2<nPrim;i2++) | |
1474 | } // for(Int_t i1=0;i1<nPrim;i1++) | |
1475 | ||
1476 | // <4'>: | |
1477 | for(Int_t i1=0;i1<nPrim;i1++) // Loop over particles in a differential bin | |
1478 | { | |
1479 | aftsTrack=anEvent->GetTrack(i1); | |
1480 | if(!(aftsTrack->InPOISelection())){continue;} | |
1481 | dPsi1=aftsTrack->Phi(); | |
1482 | dPt=aftsTrack->Pt(); | |
1483 | if(fDiffCorrelationsPro[0][1]->FindBin(dPt) != nDiffBinNo){continue;} // TBI spaghetti again | |
1484 | if(fUseWeights[1][0]){wPsi1=Weight(dPsi1,"POI","phi");} | |
1485 | for(Int_t i2=0;i2<nPrim;i2++) // Loop over particles in an event | |
1486 | { | |
1487 | if(i2==i1){continue;} // get rid of autocorrelations | |
1488 | aftsTrack=anEvent->GetTrack(i2); | |
1489 | if(!(aftsTrack->InRPSelection())){continue;} | |
1490 | dPhi2=aftsTrack->Phi(); | |
1491 | if(fUseWeights[0][0]){wPhi2=Weight(dPhi2,"RP","phi");} | |
1492 | for(Int_t i3=0;i3<nPrim;i3++) | |
1493 | { | |
1494 | if(i3==i1||i3==i2){continue;} // get rid of autocorrelations | |
1495 | aftsTrack=anEvent->GetTrack(i3); | |
1496 | if(!(aftsTrack->InRPSelection())){continue;} | |
1497 | dPhi3=aftsTrack->Phi(); | |
1498 | if(fUseWeights[0][0]){wPhi3=Weight(dPhi3,"RP","phi");} | |
1499 | for(Int_t i4=0;i4<nPrim;i4++) | |
1500 | { | |
1501 | if(i4==i1||i4==i2||i4==i3){continue;} // get rid of autocorrelations | |
1502 | aftsTrack=anEvent->GetTrack(i4); | |
1503 | if(!(aftsTrack->InRPSelection())){continue;} | |
1504 | dPhi4=aftsTrack->Phi(); | |
1505 | if(fUseWeights[0][0]){wPhi4=Weight(dPhi4,"RP","phi");} | |
1506 | // Fill the profiles: | |
1507 | if(bCrossCheck4p){fNestedLoopsDiffResultsPro->Fill(0.5,TMath::Cos(fDiffHarmonics[3][0]*dPsi1+fDiffHarmonics[3][1]*dPhi2+fDiffHarmonics[3][2]*dPhi3+fDiffHarmonics[3][3]*dPhi4),wPsi1*wPhi2*wPhi3*wPhi4);} | |
1508 | } // end of for(Int_t i4=0;i4<nPrim;i4++) | |
1509 | } // end of for(Int_t i3=0;i3<nPrim;i3++) | |
1510 | } // for(Int_t i2=0;i2<nPrim;i2++) | |
1511 | } // for(Int_t i1=0;i1<nPrim;i1++) | |
1512 | ||
1513 | // Printout: | |
1514 | // 2-p: | |
1515 | if(bCrossCheck2p) | |
1516 | { | |
1517 | printf("\n 2-p => Q-vector: %.12f",fDiffCorrelationsPro[0][1]->GetBinContent(nDiffBinNo)); | |
1518 | printf("\n 2-p => Nested loops: %.12f\n",fNestedLoopsDiffResultsPro->GetBinContent(1)); | |
1519 | } | |
1520 | // 3-p: | |
1521 | if(bCrossCheck3p) | |
1522 | { | |
1523 | printf("\n 3-p => Q-vector: %.12f",fDiffCorrelationsPro[0][2]->GetBinContent(nDiffBinNo)); | |
1524 | printf("\n 3-p => Nested loops: %.12f\n",fNestedLoopsDiffResultsPro->GetBinContent(1)); | |
1525 | } | |
1526 | // 4-p: | |
1527 | if(bCrossCheck4p) | |
1528 | { | |
1529 | printf("\n 4-p => Q-vector: %.12f",fDiffCorrelationsPro[0][3]->GetBinContent(nDiffBinNo)); | |
1530 | printf("\n 4-p => Nested loops: %.12f\n",fNestedLoopsDiffResultsPro->GetBinContent(1)); | |
1531 | } | |
1532 | ||
1533 | } // void AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckDiffWithNestedLoops(AliFlowEventSimple *anEvent) | |
1534 | ||
1535 | //======================================================================================================================= | |
1536 | ||
1537 | void AliFlowAnalysisWithMultiparticleCorrelations::FillQvector(AliFlowEventSimple *anEvent) | |
1538 | { | |
1539 | // Fill Q-vector components. | |
1540 | ||
1541 | Int_t nTracks = anEvent->NumberOfTracks(); // TBI shall I promote this to data member? | |
1542 | Double_t dPhi = 0., wPhi = 1.; // azimuthal angle and corresponding phi weight | |
1543 | Double_t dPt = 0., wPt = 1.; // transverse momentum and corresponding pT weight | |
1544 | Double_t dEta = 0., wEta = 1.; // pseudorapidity and corresponding eta weight | |
1545 | Double_t wToPowerP = 1.; // weight raised to power p | |
1546 | for(Int_t t=0;t<nTracks;t++) // loop over all tracks | |
1547 | { | |
1548 | AliFlowTrackSimple *pTrack = anEvent->GetTrack(t); | |
1549 | if(!pTrack){printf("\n AAAARGH: pTrack is NULL in MPC::FillQvector(...) !!!!"); continue;} | |
1550 | if(!(pTrack->InRPSelection() || pTrack->InPOISelection())){printf("\n AAAARGH: pTrack is neither RP nor POI !!!!"); continue;} | |
1551 | if(pTrack->InRPSelection()) // fill Q-vector components only with reference particles | |
1552 | { | |
1553 | // Access kinematic variables for RP and corresponding weights: | |
1554 | dPhi = pTrack->Phi(); // azimuthal angle | |
1555 | if(fUseWeights[0][0]){wPhi = Weight(dPhi,"RP","phi");} // corresponding phi weight | |
1556 | //if(dPhi < 0.){dPhi += TMath::TwoPi();} TBI | |
1557 | //if(dPhi > TMath::TwoPi()){dPhi -= TMath::TwoPi();} TBI | |
1558 | dPt = pTrack->Pt(); | |
1559 | if(fUseWeights[0][1]){wPt = Weight(dPt,"RP","pt");} // corresponding pT weight | |
1560 | dEta = pTrack->Eta(); | |
1561 | if(fUseWeights[0][2]){wEta = Weight(dEta,"RP","eta");} // corresponding eta weight | |
1562 | // Calculate Q-vector components: | |
1563 | for(Int_t h=0;h<fMaxHarmonic*fMaxCorrelator+1;h++) | |
1564 | { | |
1565 | for(Int_t wp=0;wp<fMaxCorrelator+1;wp++) // weight power | |
1566 | { | |
1567 | if(fUseWeights[0][0]||fUseWeights[0][1]||fUseWeights[0][2]){wToPowerP = pow(wPhi*wPt*wEta,wp);} | |
1568 | fQvector[h][wp] += TComplex(wToPowerP*TMath::Cos(h*dPhi),wToPowerP*TMath::Sin(h*dPhi)); | |
1569 | } // for(Int_t wp=0;wp<fMaxCorrelator+1;wp++) | |
1570 | } // for(Int_t h=0;h<fMaxHarmonic*fMaxCorrelator+1;h++) | |
1571 | } // if(pTrack->InRPSelection()) // fill Q-vector components only with reference particles | |
1572 | ||
1573 | // Differential Q-vectors (a.k.a. p-vector and q-vector): | |
1574 | if(!fCalculateDiffQvectors){continue;} | |
1575 | if(pTrack->InPOISelection()) | |
1576 | { | |
1577 | wPhi = 1.; wPt = 1.; wEta = 1.; wToPowerP = 1.; // TBI this shall go somewhere else, for performance sake | |
1578 | ||
1579 | // Access kinematic variables for POI and corresponding weights: | |
1580 | dPhi = pTrack->Phi(); // azimuthal angle | |
1581 | if(fUseWeights[1][0]){wPhi = Weight(dPhi,"POI","phi");} // corresponding phi weight | |
1582 | //if(dPhi < 0.){dPhi += TMath::TwoPi();} TBI | |
1583 | //if(dPhi > TMath::TwoPi()){dPhi -= TMath::TwoPi();} TBI | |
1584 | dPt = pTrack->Pt(); | |
1585 | if(fUseWeights[1][1]){wPt = Weight(dPt,"POI","pt");} // corresponding pT weight | |
1586 | dEta = pTrack->Eta(); | |
1587 | if(fUseWeights[1][2]){wEta = Weight(dEta,"POI","eta");} // corresponding eta weight | |
1588 | // Determine bin: | |
1589 | Int_t binNo = fDiffCorrelationsPro[0][0]->FindBin(dPt); // TBI: hardwired [0][0] and dPt | |
1590 | // Calculate p-vector components: | |
1591 | for(Int_t h=0;h<fMaxHarmonic*fMaxCorrelator+1;h++) | |
1592 | { | |
1593 | for(Int_t wp=0;wp<fMaxCorrelator+1;wp++) // weight power | |
1594 | { | |
1595 | if(fUseWeights[1][0]||fUseWeights[1][1]||fUseWeights[1][2]){wToPowerP = pow(wPhi*wPt*wEta,wp);} | |
1596 | fpvector[binNo-1][h][wp] += TComplex(wToPowerP*TMath::Cos(h*dPhi),wToPowerP*TMath::Sin(h*dPhi)); | |
1597 | ||
1598 | if(pTrack->InRPSelection()) | |
1599 | { | |
1600 | // Fill q-vector components: | |
1601 | fqvector[binNo-1][h][wp] += TComplex(wToPowerP*TMath::Cos(h*dPhi),wToPowerP*TMath::Sin(h*dPhi)); | |
1602 | } // if(pTrack->InRPSelection()) | |
1603 | } // for(Int_t wp=0;wp<fMaxCorrelator+1;wp++) | |
1604 | } // for(Int_t h=0;h<fMaxHarmonic*fMaxCorrelator+1;h++) | |
1605 | } // if(pTrack->InPOISelection()) | |
1606 | ||
1607 | } // for(Int_t t=0;t<nTracks;t++) // loop over all tracks | |
1608 | ||
1609 | } // void AliFlowAnalysisWithMultiparticleCorrelations::FillQvector(AliFlowEventSimple *anEvent) | |
1610 | ||
1611 | //======================================================================================================================= | |
1612 | ||
1613 | void AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckSettings() | |
1614 | { | |
1615 | // Cross-check all initial settings in this method. | |
1616 | ||
1617 | // a) Few cross-checks for control histograms; | |
1618 | // b) Few cross-checks for flags for correlations; | |
1619 | // c) 'Standard candles'; | |
1620 | // d) Q-cumulants; | |
1621 | // e) Weights. | |
1622 | ||
1623 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckSettings()"; | |
1624 | ||
1625 | // a) Few cross-checks for control histograms: TBI the lines below are not really what they are supposed to be... | |
1626 | /* | |
1627 | if(fFillKinematicsHist && !fFillControlHistograms){Fatal(sMethodName.Data(),"fFillKinematicsHist && !fFillControlHistograms");} | |
1628 | if(fFillMultDistributionsHist && !fFillControlHistograms){Fatal(sMethodName.Data(),"fFillMultDistributionsHist && !fFillControlHistograms");} | |
1629 | if(fFillMultCorrelationsHist && !fFillControlHistograms){Fatal(sMethodName.Data(),"fFillMultCorrelationsHist && !fFillControlHistograms");} | |
1630 | */ | |
1631 | ||
1632 | // b) Few cross-checks for flags for correlations: // TBI the lines bellow can be civilized | |
1633 | Int_t iSum = (Int_t)fCalculateIsotropic + (Int_t)fCalculateSame + (Int_t)fCalculateSameIsotropic; | |
1634 | if(iSum>1){Fatal(sMethodName.Data(),"iSum is doing crazy things...");} | |
1635 | if(fCalculateOnlyCos && fCalculateOnlySin){Fatal(sMethodName.Data(),"fCalculateOnlyCos && fCalculateOnlySin");} | |
1636 | ||
1637 | // c) 'Standard candles': | |
1638 | if(fCalculateStandardCandles && !fCalculateCorrelations) | |
1639 | { | |
1640 | Fatal(sMethodName.Data(),"fCalculateStandardCandles && !fCalculateCorrelations"); | |
1641 | } | |
1642 | if(fCalculateStandardCandles && fCalculateCorrelations && fCalculateSameIsotropic) | |
1643 | { | |
1644 | Fatal(sMethodName.Data(),"fCalculateStandardCandles && fCalculateCorrelations && fCalculateSameIsotropic"); | |
1645 | } | |
1646 | if(fCalculateStandardCandles && fCalculateOnlyForHarmonicQC) | |
1647 | { | |
1648 | Fatal(sMethodName.Data(),"fCalculateStandardCandles && fCalculateOnlyForHarmonicQC"); | |
1649 | } | |
1650 | if(fCalculateStandardCandles && fCalculateOnlyForSC && (4!=fDontGoBeyond)) | |
1651 | { | |
1652 | Fatal(sMethodName.Data(),"fCalculateStandardCandles && fCalculateOnlyForSC && (4!=fDontGoBeyond)"); | |
1653 | } | |
1654 | if(fCalculateStandardCandles && !fPropagateErrorSC) | |
1655 | { | |
1656 | Warning(sMethodName.Data(),"fCalculateStandardCandles && !fPropagateErrorSC"); | |
1657 | } | |
1658 | if(fCalculateStandardCandles && fCalculateOnlySin) | |
1659 | { | |
1660 | Fatal(sMethodName.Data(),"fCalculateStandardCandles && fCalculateOnlySin"); | |
1661 | } | |
1662 | ||
1663 | // d) Q-cumulants: | |
1664 | if(fCalculateQcumulants && !fCalculateCorrelations) | |
1665 | { | |
1666 | Fatal(sMethodName.Data(),"fCalculateQcumulants && !fCalculateCorrelations"); | |
1667 | } | |
1668 | if(fCalculateQcumulants && !(fHarmonicQC > 0)) | |
1669 | { | |
1670 | Fatal(sMethodName.Data(),"fCalculateQcumulants && !(fHarmonicQC > 0)"); | |
1671 | } | |
1672 | if(fCalculateQcumulants && fCalculateOnlyForSC) | |
1673 | { | |
1674 | Fatal(sMethodName.Data(),"fCalculateQcumulants && fCalculateOnlyForSC"); | |
1675 | } | |
1676 | if(fCalculateQcumulants && !fPropagateErrorQC) | |
1677 | { | |
1678 | Warning(sMethodName.Data(),"fCalculateQcumulants && !fPropagateErrorQC"); | |
1679 | } | |
1680 | if(fCalculateQcumulants && fCalculateOnlySin) | |
1681 | { | |
1682 | Fatal(sMethodName.Data(),"fCalculateQcumulants && fCalculateOnlySin"); | |
1683 | } | |
1684 | ||
1685 | // e) Weights: | |
1686 | for(Int_t rp=0;rp<2;rp++) // [RP,POI] | |
1687 | { | |
1688 | for(Int_t ppe=0;ppe<3;ppe++) // [phi,pt,eta] | |
1689 | { | |
1690 | if(fUseWeights[rp][ppe] && !fWeightsHist[rp][ppe]) | |
1691 | { | |
1692 | Fatal(sMethodName.Data(),"fUseWeights[rp][ppe] && !fWeightsHist[rp][ppe], rp = %d, ppe = %d",rp,ppe); | |
1693 | } | |
1694 | } | |
1695 | } | |
1696 | ||
1697 | } // end of void AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckSettings() | |
1698 | ||
1699 | //======================================================================================================================= | |
1700 | ||
1701 | void AliFlowAnalysisWithMultiparticleCorrelations::BookAndNestAllLists() | |
1702 | { | |
1703 | // Book and nest all lists nested in the base list fHistList. | |
1704 | ||
1705 | // a) Book and nest lists for control histograms; | |
1706 | // b) Book and nest lists for Q-vectors; | |
1707 | // c) Book and nest lists for correlations; | |
1708 | // d) Book and nest lists for e-b-e cumulants; | |
1709 | // e) Book and nest lists for weights; | |
1710 | // f) Book and nest lists for nested loops; | |
1711 | // g) Book and nest lists for 'standard candles'; | |
1712 | // h) Book and nest lists for Q-cumulants; | |
1713 | // i) Book and nest lists for differential correlations. | |
1714 | ||
1715 | // a) Book and nest lists for control histograms: | |
1716 | fControlHistogramsList = new TList(); | |
1717 | fControlHistogramsList->SetName("Control Histograms"); | |
1718 | fControlHistogramsList->SetOwner(kTRUE); | |
1719 | fHistList->Add(fControlHistogramsList); | |
1720 | ||
1721 | // b) Book and nest lists for Q-vectors: | |
1722 | fQvectorList = new TList(); | |
1723 | fQvectorList->SetName("Q-vectors"); | |
1724 | fQvectorList->SetOwner(kTRUE); | |
1725 | fHistList->Add(fQvectorList); | |
1726 | ||
1727 | // c) Book and nest lists for correlations: | |
1728 | fCorrelationsList = new TList(); | |
1729 | fCorrelationsList->SetName("Correlations"); | |
1730 | fCorrelationsList->SetOwner(kTRUE); | |
1731 | fHistList->Add(fCorrelationsList); | |
1732 | ||
1733 | // d) Book and nest lists for e-b-e cumulants: | |
1734 | fEbECumulantsList = new TList(); | |
1735 | fEbECumulantsList->SetName("E-b-e Cumulants"); | |
1736 | fEbECumulantsList->SetOwner(kTRUE); | |
1737 | fHistList->Add(fEbECumulantsList); | |
1738 | ||
1739 | // e) Book and nest lists for weights: | |
1740 | fWeightsList = new TList(); | |
1741 | fWeightsList->SetName("Weights"); | |
1742 | fWeightsList->SetOwner(kTRUE); | |
1743 | fHistList->Add(fWeightsList); | |
1744 | ||
1745 | // f) Book and nest lists for nested loops: | |
1746 | fNestedLoopsList = new TList(); | |
1747 | fNestedLoopsList->SetName("Nested Loops"); | |
1748 | fNestedLoopsList->SetOwner(kTRUE); | |
1749 | fHistList->Add(fNestedLoopsList); | |
1750 | ||
1751 | // g) Book and nest lists for 'standard candles': | |
1752 | fStandardCandlesList = new TList(); | |
1753 | fStandardCandlesList->SetName("Standard Candles"); | |
1754 | fStandardCandlesList->SetOwner(kTRUE); | |
1755 | fHistList->Add(fStandardCandlesList); | |
1756 | ||
1757 | // h) Book and nest lists for Q-cumulants: | |
1758 | fQcumulantsList = new TList(); | |
1759 | fQcumulantsList->SetName("Q-cumulants"); | |
1760 | fQcumulantsList->SetOwner(kTRUE); | |
1761 | fHistList->Add(fQcumulantsList); | |
1762 | ||
1763 | // i) Book and nest lists for differential correlations: | |
1764 | fDiffCorrelationsList = new TList(); | |
1765 | fDiffCorrelationsList->SetName("Differential Correlations"); | |
1766 | fDiffCorrelationsList->SetOwner(kTRUE); | |
1767 | fHistList->Add(fDiffCorrelationsList); | |
1768 | ||
1769 | } // end of void AliFlowAnalysisWithMultiparticleCorrelations::BookAndNestAllLists() | |
1770 | ||
1771 | //======================================================================================================================= | |
1772 | ||
1773 | void AliFlowAnalysisWithMultiparticleCorrelations::WriteHistograms(TString outputFileName) | |
1774 | { | |
1775 | // Store the final results in output file <outputFileName>.root. | |
1776 | ||
1777 | TFile *output = new TFile(outputFileName.Data(),"RECREATE"); | |
1778 | fHistList->Write(fHistList->GetName(),TObject::kSingleKey); | |
1779 | ||
1780 | delete output; | |
1781 | ||
1782 | } // end of void AliFlowAnalysisWithMultiparticleCorrelations::WriteHistograms(TString outputFileName) | |
1783 | ||
1784 | //======================================================================================================================= | |
1785 | ||
1786 | void AliFlowAnalysisWithMultiparticleCorrelations::WriteHistograms(TDirectoryFile *outputFileName) | |
1787 | { | |
1788 | // Store the final results in output file <outputFileName>.root. | |
1789 | ||
1790 | outputFileName->Add(fHistList); | |
1791 | outputFileName->Write(outputFileName->GetName(),TObject::kSingleKey); | |
1792 | ||
1793 | } // end of void AliFlowAnalysisWithMultiparticleCorrelations::WriteHistograms(TDirectoryFile *outputFileName) | |
1794 | ||
1795 | //======================================================================================================================= | |
1796 | ||
1797 | void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForControlHistograms() | |
1798 | { | |
1799 | // Book all the stuff for control histograms. | |
1800 | ||
1801 | // a) Book the profile holding all the flags for control histograms; | |
1802 | // b) Book all control histograms; | |
1803 | // b0) Book TH1D *fKinematicsHist[2][3]; | |
1804 | // b1) Book TH1D *fMultDistributionsHist[3]; | |
1805 | // b2) Book TH2D *fMultCorrelationsHist[3]. | |
1806 | ||
1807 | // a) Book the profile holding all the flags for control histograms: TBI stil incomplete | |
1808 | fControlHistogramsFlagsPro = new TProfile("fControlHistogramsFlagsPro","Flags and settings for control histograms",4,0,4); | |
1809 | fControlHistogramsFlagsPro->SetTickLength(-0.01,"Y"); | |
1810 | fControlHistogramsFlagsPro->SetMarkerStyle(25); | |
1811 | fControlHistogramsFlagsPro->SetLabelSize(0.04); | |
1812 | fControlHistogramsFlagsPro->SetLabelOffset(0.02,"Y"); | |
1813 | fControlHistogramsFlagsPro->SetStats(kFALSE); | |
1814 | fControlHistogramsFlagsPro->SetFillColor(kGray); | |
1815 | fControlHistogramsFlagsPro->SetLineColor(kBlack); | |
1816 | fControlHistogramsFlagsPro->GetXaxis()->SetBinLabel(1,"fFillControlHistograms"); fControlHistogramsFlagsPro->Fill(0.5,fFillControlHistograms); | |
1817 | fControlHistogramsFlagsPro->GetXaxis()->SetBinLabel(2,"fFillKinematicsHist"); fControlHistogramsFlagsPro->Fill(1.5,fFillKinematicsHist); | |
1818 | fControlHistogramsFlagsPro->GetXaxis()->SetBinLabel(3,"fFillMultDistributionsHist"); fControlHistogramsFlagsPro->Fill(2.5,fFillMultDistributionsHist); | |
1819 | fControlHistogramsFlagsPro->GetXaxis()->SetBinLabel(4,"fFillMultCorrelationsHist"); fControlHistogramsFlagsPro->Fill(3.5,fFillMultCorrelationsHist); | |
1820 | fControlHistogramsList->Add(fControlHistogramsFlagsPro); | |
1821 | ||
1822 | if(!fFillControlHistograms){return;} // TBI is this safe? Well, perhaps it is if I can't implement it better... | |
1823 | ||
1824 | // b) Book all control histograms: // TBI add setters for all these values | |
1825 | // b0) Book TH1D *fKinematicsHist[2][3]: | |
1826 | Int_t nBins[2][3] = {{360,1000,1000},{360,1000,1000}}; // [RP,POI][phi,pt,eta] | |
1827 | Double_t min[2][3] = {{0.,0.,-1.},{0.,0.,-1.}}; // [RP,POI][phi,pt,eta] | |
1828 | Double_t max[2][3] = {{TMath::TwoPi(),10.,1.},{TMath::TwoPi(),10.,1.}}; // [RP,POI][phi,pt,eta] | |
1829 | TString name[2][3] = {{"RP,phi","RP,pt","RP,eta"},{"POI,phi","POI,pt","POI,eta"}}; // [RP,POI][phi,pt,eta] | |
1830 | TString title[2] = {"Reference particles (RP)","Particles of interest (POI)"}; // [RP,POI] | |
1831 | Int_t lineColor[2] = {kBlue,kRed}; // [RP,POI] | |
1832 | Int_t fillColor[2] = {kBlue-10,kRed-10}; // [RP,POI] | |
1833 | TString xAxisTitle[3] = {"#phi","p_{T}","#eta"}; // [phi,pt,eta] | |
1834 | for(Int_t rp=0;rp<2;rp++) // [RP,POI] | |
1835 | { | |
1836 | for(Int_t ppe=0;ppe<3;ppe++) // [phi,pt,eta] | |
1837 | { | |
1838 | fKinematicsHist[rp][ppe] = new TH1D(name[rp][ppe].Data(),title[rp].Data(),nBins[rp][ppe],min[rp][ppe],max[rp][ppe]); | |
1839 | fKinematicsHist[rp][ppe]->GetXaxis()->SetTitle(xAxisTitle[ppe].Data()); | |
1840 | fKinematicsHist[rp][ppe]->SetLineColor(lineColor[rp]); | |
1841 | fKinematicsHist[rp][ppe]->SetFillColor(fillColor[rp]); | |
1842 | fKinematicsHist[rp][ppe]->SetMinimum(0.); | |
1843 | if(fFillKinematicsHist){fControlHistogramsList->Add(fKinematicsHist[rp][ppe]);} | |
1844 | } | |
1845 | } | |
1846 | ||
1847 | // b1) Book TH1D *fMultDistributionsHist[3]: // TBI add setters for all these values | |
1848 | Int_t nBinsMult[3] = {3000,3000,3000}; // [RP,POI,reference multiplicity] | |
1849 | Double_t minMult[3] = {0.,0.,0.}; // [RP,POI,reference multiplicity] | |
1850 | Double_t maxMult[3] = {3000.,3000.,3000.}; // [RP,POI,reference multiplicity] | |
1851 | TString nameMult[3] = {"Multiplicity (RP)","Multiplicity (POI)","Multiplicity (REF)"}; // [RP,POI,reference multiplicity] | |
1852 | TString titleMult[3] = {"Reference particles (RP)","Particles of interest (POI)",""}; // [RP,POI,reference multiplicity] | |
1853 | Int_t lineColorMult[3] = {kBlue,kRed,kGreen+2}; // [RP,POI,reference multiplicity] | |
1854 | Int_t fillColorMult[3] = {kBlue-10,kRed-10,kGreen-10}; // [RP,POI,reference multiplicity] | |
1855 | TString xAxisTitleMult[3] = {"Multiplicity (RP)","Multiplicity (POI)","Multiplicity (REF)"}; // [phi,pt,eta] | |
1856 | for(Int_t rprm=0;rprm<3;rprm++) // [RP,POI,reference multiplicity] | |
1857 | { | |
1858 | fMultDistributionsHist[rprm] = new TH1D(nameMult[rprm].Data(),titleMult[rprm].Data(),nBinsMult[rprm],minMult[rprm],maxMult[rprm]); | |
1859 | fMultDistributionsHist[rprm]->GetXaxis()->SetTitle(xAxisTitleMult[rprm].Data()); | |
1860 | fMultDistributionsHist[rprm]->SetLineColor(lineColorMult[rprm]); | |
1861 | fMultDistributionsHist[rprm]->SetFillColor(fillColorMult[rprm]); | |
1862 | if(fFillMultDistributionsHist){fControlHistogramsList->Add(fMultDistributionsHist[rprm]);} | |
1863 | } // for(Int_t rprm=0;rprm<3;rprm++) // [RP,POI,reference multiplicity] | |
1864 | ||
1865 | // b2) Book TH2D *fMultCorrelationsHist[3]: TBI too large objects to store in this way, perhaps, | |
1866 | // ... | |
1867 | fMultCorrelationsHist[0] = new TH2D("Multiplicity (RP vs. POI)","Multiplicity (RP vs. POI)",nBinsMult[0],minMult[0],maxMult[0],nBinsMult[1],minMult[1],maxMult[1]); | |
1868 | fMultCorrelationsHist[0]->GetXaxis()->SetTitle(xAxisTitleMult[0].Data()); | |
1869 | fMultCorrelationsHist[0]->GetYaxis()->SetTitle(xAxisTitleMult[1].Data()); | |
1870 | if(fFillMultCorrelationsHist){fControlHistogramsList->Add(fMultCorrelationsHist[0]);} | |
1871 | ||
1872 | // ... | |
1873 | fMultCorrelationsHist[1] = new TH2D("Multiplicity (RP vs. REF)","Multiplicity (RP vs. REF)",nBinsMult[0],minMult[0],maxMult[0],nBinsMult[2],minMult[2],maxMult[2]); | |
1874 | fMultCorrelationsHist[1]->GetXaxis()->SetTitle(xAxisTitleMult[0].Data()); | |
1875 | fMultCorrelationsHist[1]->GetYaxis()->SetTitle(xAxisTitleMult[2].Data()); | |
1876 | if(fFillMultCorrelationsHist){fControlHistogramsList->Add(fMultCorrelationsHist[1]);} | |
1877 | ||
1878 | // ... | |
1879 | fMultCorrelationsHist[2] = new TH2D("Multiplicity (POI vs. REF)","Multiplicity (POI vs. REF)",nBinsMult[1],minMult[1],maxMult[1],nBinsMult[2],minMult[2],maxMult[2]); | |
1880 | fMultCorrelationsHist[2]->GetXaxis()->SetTitle(xAxisTitleMult[1].Data()); | |
1881 | fMultCorrelationsHist[2]->GetYaxis()->SetTitle(xAxisTitleMult[2].Data()); | |
1882 | if(fFillMultCorrelationsHist){fControlHistogramsList->Add(fMultCorrelationsHist[2]);} | |
1883 | ||
1884 | } // void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForControlHistograms() | |
1885 | ||
1886 | //======================================================================================================================= | |
1887 | ||
1888 | void AliFlowAnalysisWithMultiparticleCorrelations::FillControlHistograms(AliFlowEventSimple *anEvent) | |
1889 | { | |
1890 | // Fill control histograms. | |
1891 | // a) Fill TH1D *fKinematicsHist[2][3]; | |
1892 | // b) Fill TH1D *fMultDistributionsHist[3]; | |
1893 | // c) Fill TH2D *fMultCorrelationsHist[3]. | |
1894 | ||
1895 | // a) Fill TH1D *fKinematicsHist[2][3]: | |
1896 | if(fFillKinematicsHist) | |
1897 | { | |
1898 | Int_t nTracks = anEvent->NumberOfTracks(); // TBI shall I promote this to data member? | |
1899 | for(Int_t t=0;t<nTracks;t++) // loop over all tracks | |
1900 | { | |
1901 | AliFlowTrackSimple *pTrack = anEvent->GetTrack(t); | |
1902 | if(!pTrack){printf("\n AAAARGH: pTrack is NULL in MPC::FCH() !!!!");continue;} | |
1903 | if(pTrack) | |
1904 | { | |
1905 | Double_t dPhi = pTrack->Phi(); | |
1906 | //if(dPhi < 0.){dPhi += TMath::TwoPi();} TBI | |
1907 | //if(dPhi > TMath::TwoPi()){dPhi -= TMath::TwoPi();} TBI | |
1908 | Double_t dPt = pTrack->Pt(); | |
1909 | Double_t dEta = pTrack->Eta(); | |
1910 | Double_t dPhiPtEta[3] = {dPhi,dPt,dEta}; | |
1911 | for(Int_t rp=0;rp<2;rp++) // [RP,POI] | |
1912 | { | |
1913 | for(Int_t ppe=0;ppe<3;ppe++) // [phi,pt,eta] | |
1914 | { | |
1915 | if((0==rp && pTrack->InRPSelection()) || (1==rp && pTrack->InPOISelection())) // TBI | |
1916 | { | |
1917 | fKinematicsHist[rp][ppe]->Fill(dPhiPtEta[ppe]); | |
1918 | } | |
1919 | } // for(Int_t ppe=0;ppe<3;ppe++) // [phi,pt,eta] | |
1920 | } // for(Int_t rp=0;rp<2;rp++) // [RP,POI] | |
1921 | } // if(pTrack) | |
1922 | } // for(Int_t t=0;t<nTracks;t++) // loop over all tracks | |
1923 | } // if(fFillKinematicsHist) | |
1924 | ||
1925 | // b) Fill TH1D *fMultDistributionsHist[3]: | |
1926 | Double_t dMultRP = anEvent->GetNumberOfRPs(); // TBI shall I promote these 3 variables into data members? | |
1927 | Double_t dMultPOI = anEvent->GetNumberOfPOIs(); | |
1928 | Double_t dMultREF = anEvent->GetReferenceMultiplicity(); | |
1929 | Double_t dMult[3] = {dMultRP,dMultPOI,dMultREF}; | |
1930 | for(Int_t rprm=0;rprm<3;rprm++) // [RP,POI,reference multiplicity] | |
1931 | { | |
1932 | if(fFillMultDistributionsHist){fMultDistributionsHist[rprm]->Fill(dMult[rprm]);} | |
1933 | } | |
1934 | ||
1935 | // c) Fill TH2D *fMultCorrelationsHist[3]: | |
1936 | if(fFillMultCorrelationsHist) | |
1937 | { | |
1938 | fMultCorrelationsHist[0]->Fill((Int_t)dMultRP,(Int_t)dMultPOI); // RP vs. POI | |
1939 | fMultCorrelationsHist[1]->Fill((Int_t)dMultRP,(Int_t)dMultREF); // RP vs. refMult | |
1940 | fMultCorrelationsHist[2]->Fill((Int_t)dMultPOI,(Int_t)dMultREF); // POI vs. refMult | |
1941 | } // if(fFillMultCorrelationsHist) | |
1942 | ||
1943 | } // void AliFlowAnalysisWithMultiparticleCorrelations::FillControlHistograms(AliFlowEventSimple *anEvent) | |
1944 | ||
1945 | //======================================================================================================================= | |
1946 | ||
1947 | void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForControlHistograms() | |
1948 | { | |
1949 | // Initialize all arrays for control histograms. | |
1950 | ||
1951 | // a) Initialize TH1D *fKinematicsHist[2][3]; | |
1952 | // b) Initialize TH1D *fMultDistributionsHist[3]; | |
1953 | // c) Initialize TH2D *fMultCorrelationsHist[3]. | |
1954 | ||
1955 | // a) Initialize TH1D *fKinematicsHist[2][3]: | |
1956 | for(Int_t rp=0;rp<2;rp++) // [RP,POI] | |
1957 | { | |
1958 | for(Int_t ppe=0;ppe<3;ppe++) // [phi,pt,eta] | |
1959 | { | |
1960 | fKinematicsHist[rp][ppe] = NULL; | |
1961 | } | |
1962 | } | |
1963 | ||
1964 | // b) Initialize TH1D *fMultDistributionsHist[3]: | |
1965 | for(Int_t rprm=0;rprm<3;rprm++) // [RP,POI,reference multiplicity] | |
1966 | { | |
1967 | fMultDistributionsHist[rprm] = NULL; | |
1968 | } | |
1969 | ||
1970 | // c) Initialize TH2D *fMultCorrelationsHist[3]: | |
1971 | for(Int_t r=0;r<3;r++) // [RP vs. POI, RP vs. refMult, POI vs. refMult] | |
1972 | { | |
1973 | fMultCorrelationsHist[r] = NULL; | |
1974 | } | |
1975 | ||
1976 | } // void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForControlHistograms() | |
1977 | ||
1978 | //======================================================================================================================= | |
1979 | ||
1980 | void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForQvector() | |
1981 | { | |
1982 | // Book all the stuff for Q-vector. | |
1983 | ||
1984 | // a) Book the profile holding all the flags for Q-vector; | |
1985 | // ... | |
1986 | ||
1987 | // a) Book the profile holding all the flags for Q-vector: | |
1988 | fQvectorFlagsPro = new TProfile("fQvectorFlagsPro","Flags for Q-vectors",2,0,2); | |
1989 | fQvectorFlagsPro->SetTickLength(-0.01,"Y"); | |
1990 | fQvectorFlagsPro->SetMarkerStyle(25); | |
1991 | fQvectorFlagsPro->SetLabelSize(0.03); | |
1992 | fQvectorFlagsPro->SetLabelOffset(0.02,"Y"); | |
1993 | fQvectorFlagsPro->SetStats(kFALSE); | |
1994 | fQvectorFlagsPro->SetFillColor(kGray); | |
1995 | fQvectorFlagsPro->SetLineColor(kBlack); | |
1996 | fQvectorFlagsPro->GetXaxis()->SetBinLabel(1,"fCalculateQvector"); fQvectorFlagsPro->Fill(0.5,fCalculateQvector); | |
1997 | fQvectorFlagsPro->GetXaxis()->SetBinLabel(2,"fCalculateDiffQvectors"); fQvectorFlagsPro->Fill(1.5,fCalculateDiffQvectors); | |
1998 | fQvectorList->Add(fQvectorFlagsPro); | |
1999 | ||
2000 | // ... | |
2001 | ||
2002 | } // void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForQvector() | |
2003 | ||
2004 | //======================================================================================================================= | |
2005 | ||
2006 | void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForCorrelations() | |
2007 | { | |
2008 | // Book all the stuff for correlations. | |
2009 | ||
2010 | // TBI this method can be implemented in a much more civilised way. | |
2011 | ||
2012 | // a) Book the profile holding all the flags for correlations; | |
2013 | // b) Book TProfile *fCorrelationsPro[2][8] ([0=cos,1=sin][1p,2p,...,8p]). | |
2014 | ||
2015 | TString sMethodName = "void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForCorrelations()"; | |
2016 | ||
2017 | // a) Book the profile holding all the flags for correlations: | |
2018 | fCorrelationsFlagsPro = new TProfile("fCorrelationsFlagsPro","Flags for correlations",13,0,13); | |
2019 | fCorrelationsFlagsPro->SetTickLength(-0.01,"Y"); | |
2020 | fCorrelationsFlagsPro->SetMarkerStyle(25); | |
2021 | fCorrelationsFlagsPro->SetLabelSize(0.03); | |
2022 | fCorrelationsFlagsPro->SetLabelOffset(0.02,"Y"); | |
2023 | fCorrelationsFlagsPro->SetStats(kFALSE); | |
2024 | fCorrelationsFlagsPro->SetFillColor(kGray); | |
2025 | fCorrelationsFlagsPro->SetLineColor(kBlack); | |
2026 | fCorrelationsFlagsPro->GetXaxis()->SetBinLabel(1,"fCalculateCorrelations"); fCorrelationsFlagsPro->Fill(0.5,fCalculateCorrelations); | |
2027 | fCorrelationsFlagsPro->GetXaxis()->SetBinLabel(2,"fMaxHarmonic"); fCorrelationsFlagsPro->Fill(1.5,fMaxHarmonic); | |
2028 | fCorrelationsFlagsPro->GetXaxis()->SetBinLabel(3,"fMaxCorrelator"); fCorrelationsFlagsPro->Fill(2.5,fMaxCorrelator); | |
2029 | fCorrelationsFlagsPro->GetXaxis()->SetBinLabel(4,"fCalculateIsotropic"); fCorrelationsFlagsPro->Fill(3.5,fCalculateIsotropic); | |
2030 | fCorrelationsFlagsPro->GetXaxis()->SetBinLabel(5,"fCalculateSame"); fCorrelationsFlagsPro->Fill(4.5,fCalculateSame); | |
2031 | fCorrelationsFlagsPro->GetXaxis()->SetBinLabel(6,"fSkipZeroHarmonics"); fCorrelationsFlagsPro->Fill(5.5,fSkipZeroHarmonics); | |
2032 | fCorrelationsFlagsPro->GetXaxis()->SetBinLabel(7,"fCalculateSameIsotropic"); fCorrelationsFlagsPro->Fill(6.5,fCalculateSameIsotropic); | |
2033 | fCorrelationsFlagsPro->GetXaxis()->SetBinLabel(8,"fCalculateAll"); fCorrelationsFlagsPro->Fill(7.5,fCalculateAll); | |
2034 | fCorrelationsFlagsPro->GetXaxis()->SetBinLabel(9,"fDontGoBeyond"); fCorrelationsFlagsPro->Fill(8.5,fDontGoBeyond); | |
2035 | fCorrelationsFlagsPro->GetXaxis()->SetBinLabel(10,"fCalculateOnlyForHarmonicQC"); fCorrelationsFlagsPro->Fill(9.5,fCalculateOnlyForHarmonicQC); | |
2036 | fCorrelationsFlagsPro->GetXaxis()->SetBinLabel(11,"fCalculateOnlyForSC"); fCorrelationsFlagsPro->Fill(10.5,fCalculateOnlyForSC); | |
2037 | fCorrelationsFlagsPro->GetXaxis()->SetBinLabel(12,"fCalculateOnlyCos"); fCorrelationsFlagsPro->Fill(11.5,fCalculateOnlyCos); | |
2038 | fCorrelationsFlagsPro->GetXaxis()->SetBinLabel(13,"fCalculateOnlySin"); fCorrelationsFlagsPro->Fill(12.5,fCalculateOnlySin); | |
2039 | fCorrelationsList->Add(fCorrelationsFlagsPro); | |
2040 | ||
2041 | if(!fCalculateCorrelations){return;} // TBI is this safe enough? | |
2042 | ||
2043 | // b) Book TProfile *fCorrelationsPro[2][8] ([0=cos,1=sin][1p,2p,...,8p]): // TBI hardwired 8, shall be fMaxCorrelator | |
2044 | cout<<" => Booking TProfile *fCorrelationsPro[2][8]..."<<endl; | |
2045 | TString sCosSin[2] = {"Cos","Sin"}; | |
2046 | Int_t markerColor[2] = {kBlue,kRed}; | |
2047 | Int_t markerStyle[2] = {kFullSquare,kFullSquare}; | |
2048 | Int_t nBins[8] = {1,1,1,1,1,1,1,1}; // TBI hardwired 8, shall be fMaxCorrelator | |
2049 | Int_t nBinsTitle[8] = {1,1,1,1,1,1,1,1}; // TBI hardwired 8, shall be fMaxCorrelator | |
2050 | Int_t nToBeFilled[8] = {0,0,0,0,0,0,0,0}; // TBI hardwired 8, shall be fMaxCorrelator | |
2051 | for(Int_t c=0;c<fMaxCorrelator;c++) // [1p,2p,...,8p] | |
2052 | { | |
2053 | // Implementing \binom{n+k-1}{k}, which is the resulting number of sets obtained | |
2054 | // after sampling n starting elements into k subsets, repetitions allowed. | |
2055 | // In my case, n=2*fMaxHarmonic+1, k=c+1, hence: | |
2056 | nBins[c] = (Int_t)(TMath::Factorial(2*fMaxHarmonic+1+c+1-1) | |
2057 | / (TMath::Factorial(2*fMaxHarmonic+1-1)*TMath::Factorial(c+1))); | |
2058 | nBinsTitle[c] = nBins[c]; | |
2059 | if(c>=fDontGoBeyond){nBins[c]=1;} // TBI is this really safe? | |
2060 | } // for(Int_t c=0;c<8;c++) // [1p,2p,...,8p] | |
2061 | for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
2062 | { | |
2063 | if(fCalculateOnlyCos && 1==cs){continue;} | |
2064 | else if(fCalculateOnlySin && 0==cs){continue;} | |
2065 | for(Int_t c=0;c<fMaxCorrelator;c++) // [1p,2p,...,8p] | |
2066 | { | |
2067 | fCorrelationsPro[cs][c] = new TProfile(Form("%dpCorrelations%s",c+1,sCosSin[cs].Data()),"",nBins[c],0.,1.*nBins[c]); | |
2068 | fCorrelationsPro[cs][c]->Sumw2(); | |
2069 | fCorrelationsPro[cs][c]->SetStats(kFALSE); | |
2070 | fCorrelationsPro[cs][c]->SetMarkerColor(markerColor[cs]); | |
2071 | fCorrelationsPro[cs][c]->SetMarkerStyle(markerStyle[cs]); | |
2072 | fCorrelationsList->Add(fCorrelationsPro[cs][c]); | |
2073 | } // for(Int_t c=0;c<8;c++) // [1p,2p,...,8p] | |
2074 | } // for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
2075 | // Set all bin labels: TBI this can be implemented better, most likely... | |
2076 | Int_t binNo[2][8]; | |
2077 | for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
2078 | { | |
2079 | if(fCalculateOnlyCos && 1==cs){continue;} | |
2080 | else if(fCalculateOnlySin && 0==cs){continue;} | |
2081 | for(Int_t c=0;c<fMaxCorrelator;c++) | |
2082 | { | |
2083 | binNo[cs][c] = 1; | |
2084 | } | |
2085 | } // for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
2086 | ||
2087 | for(Int_t n1=-fMaxHarmonic;n1<=fMaxHarmonic;n1++) | |
2088 | { | |
2089 | cout<< Form(" Patience, this takes some time... n1 = %d/%d\r",n1+fMaxHarmonic,2*fMaxHarmonic)<<flush; // TBI | |
2090 | if(fSkipZeroHarmonics && 0==n1){continue;} | |
2091 | if(fCalculateOnlyForHarmonicQC && TMath::Abs(n1) != fHarmonicQC){continue;} | |
2092 | if(fCalculateAll) | |
2093 | { | |
2094 | for(Int_t cs=0;cs<2;cs++) | |
2095 | { | |
2096 | if(fCalculateOnlyCos && 1==cs){continue;} | |
2097 | else if(fCalculateOnlySin && 0==cs){continue;} | |
2098 | fCorrelationsPro[cs][0]->GetXaxis()->SetBinLabel(binNo[cs][0]++,Form("%s(%d)",sCosSin[cs].Data(),n1)); | |
2099 | } // for(Int_t cs=0;cs<2;cs++) | |
2100 | nToBeFilled[0]++; | |
2101 | } | |
2102 | if(1==fDontGoBeyond){continue;} | |
2103 | for(Int_t n2=n1;n2<=fMaxHarmonic;n2++) | |
2104 | { | |
2105 | if(fSkipZeroHarmonics && 0==n2){continue;} | |
2106 | if(fCalculateOnlyForHarmonicQC && TMath::Abs(n2) != fHarmonicQC){continue;} | |
2107 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2) || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2)) | |
2108 | || (fCalculateSameIsotropic && 0==n1+n2 && TMath::Abs(n1)==TMath::Abs(n2)) | |
2109 | || (fCalculateOnlyForHarmonicQC && 0==n1+n2) | |
2110 | || (fCalculateOnlyForSC && 0==n1+n2)) | |
2111 | { | |
2112 | for(Int_t cs=0;cs<2;cs++) | |
2113 | { | |
2114 | if(fCalculateOnlyCos && 1==cs){continue;} | |
2115 | else if(fCalculateOnlySin && 0==cs){continue;} | |
2116 | fCorrelationsPro[cs][1]->GetXaxis()->SetBinLabel(binNo[cs][1]++,Form("%s(%d,%d)",sCosSin[cs].Data(),n1,n2)); | |
2117 | } // for(Int_t cs=0;cs<2;cs++) | |
2118 | nToBeFilled[1]++; | |
2119 | } | |
2120 | if(2==fDontGoBeyond){continue;} | |
2121 | for(Int_t n3=n2;n3<=fMaxHarmonic;n3++) | |
2122 | { | |
2123 | if(fSkipZeroHarmonics && 0==n3){continue;} | |
2124 | if(fCalculateOnlyForHarmonicQC && TMath::Abs(n3) != fHarmonicQC){continue;} | |
2125 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2+n3) || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3)) | |
2126 | || (fCalculateSameIsotropic && 0==n1+n2+n3 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3)) | |
2127 | || (fCalculateOnlyForHarmonicQC && 0==n1+n2+n3)) | |
2128 | { | |
2129 | for(Int_t cs=0;cs<2;cs++) | |
2130 | { | |
2131 | if(fCalculateOnlyCos && 1==cs){continue;} | |
2132 | else if(fCalculateOnlySin && 0==cs){continue;} | |
2133 | fCorrelationsPro[cs][2]->GetXaxis()->SetBinLabel(binNo[cs][2]++,Form("%s(%d,%d,%d)",sCosSin[cs].Data(),n1,n2,n3)); | |
2134 | } // for(Int_t cs=0;cs<2;cs++) | |
2135 | nToBeFilled[2]++; | |
2136 | } | |
2137 | if(3==fDontGoBeyond){continue;} | |
2138 | for(Int_t n4=n3;n4<=fMaxHarmonic;n4++) | |
2139 | { | |
2140 | if(fSkipZeroHarmonics && 0==n4){continue;} | |
2141 | if(fCalculateOnlyForHarmonicQC && TMath::Abs(n4) != fHarmonicQC){continue;} | |
2142 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2+n3+n4) || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4)) | |
2143 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4)) | |
2144 | || (fCalculateOnlyForHarmonicQC && 0==n1+n2+n3+n4) | |
2145 | || (fCalculateOnlyForSC && (0==n1+n4 && 0==n2+n3 && n1 != n2 && n3 != n4))) | |
2146 | { | |
2147 | for(Int_t cs=0;cs<2;cs++) | |
2148 | { | |
2149 | if(fCalculateOnlyCos && 1==cs){continue;} | |
2150 | else if(fCalculateOnlySin && 0==cs){continue;} | |
2151 | fCorrelationsPro[cs][3]->GetXaxis()->SetBinLabel(binNo[cs][3]++,Form("%s(%d,%d,%d,%d)",sCosSin[cs].Data(),n1,n2,n3,n4)); | |
2152 | } // for(Int_t cs=0;cs<2;cs++) | |
2153 | nToBeFilled[3]++; | |
2154 | } | |
2155 | if(4==fDontGoBeyond){continue;} | |
2156 | for(Int_t n5=n4;n5<=fMaxHarmonic;n5++) | |
2157 | { | |
2158 | if(fSkipZeroHarmonics && 0==n5){continue;} | |
2159 | if(fCalculateOnlyForHarmonicQC && TMath::Abs(n5) != fHarmonicQC){continue;} | |
2160 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2+n3+n4+n5) | |
2161 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5)) | |
2162 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4+n5 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5)) | |
2163 | || (fCalculateOnlyForHarmonicQC && 0==n1+n2+n3+n4+n5)) | |
2164 | { | |
2165 | for(Int_t cs=0;cs<2;cs++) | |
2166 | { | |
2167 | if(fCalculateOnlyCos && 1==cs){continue;} | |
2168 | else if(fCalculateOnlySin && 0==cs){continue;} | |
2169 | fCorrelationsPro[cs][4]->GetXaxis()->SetBinLabel(binNo[cs][4]++,Form("%s(%d,%d,%d,%d,%d)",sCosSin[cs].Data(),n1,n2,n3,n4,n5)); | |
2170 | } // for(Int_t cs=0;cs<2;cs++) | |
2171 | nToBeFilled[4]++; | |
2172 | } | |
2173 | if(5==fDontGoBeyond){continue;} | |
2174 | for(Int_t n6=n5;n6<=fMaxHarmonic;n6++) | |
2175 | { | |
2176 | if(fSkipZeroHarmonics && 0==n6){continue;} | |
2177 | if(fCalculateOnlyForHarmonicQC && TMath::Abs(n6) != fHarmonicQC){continue;} | |
2178 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2+n3+n4+n5+n6) | |
2179 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) | |
2180 | && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6)) | |
2181 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4+n5+n6 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) | |
2182 | && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6)) | |
2183 | || (fCalculateOnlyForHarmonicQC && 0==n1+n2+n3+n4+n5+n6)) | |
2184 | { | |
2185 | for(Int_t cs=0;cs<2;cs++) | |
2186 | { | |
2187 | if(fCalculateOnlyCos && 1==cs){continue;} | |
2188 | else if(fCalculateOnlySin && 0==cs){continue;} | |
2189 | fCorrelationsPro[cs][5]->GetXaxis()->SetBinLabel(binNo[cs][5]++,Form("%s(%d,%d,%d,%d,%d,%d)",sCosSin[cs].Data(),n1,n2,n3,n4,n5,n6)); | |
2190 | } // for(Int_t cs=0;cs<2;cs++) | |
2191 | nToBeFilled[5]++; | |
2192 | } | |
2193 | if(6==fDontGoBeyond){continue;} | |
2194 | for(Int_t n7=n6;n7<=fMaxHarmonic;n7++) | |
2195 | { | |
2196 | if(fSkipZeroHarmonics && 0==n7){continue;} | |
2197 | if(fCalculateOnlyForHarmonicQC && TMath::Abs(n7) != fHarmonicQC){continue;} | |
2198 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2+n3+n4+n5+n6+n7) | |
2199 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) | |
2200 | && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6) && TMath::Abs(n1)==TMath::Abs(n7)) | |
2201 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4+n5+n6+n7 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) | |
2202 | && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6) && TMath::Abs(n1)==TMath::Abs(n7)) | |
2203 | || (fCalculateOnlyForHarmonicQC && 0==n1+n2+n3+n4+n5+n6+n7)) | |
2204 | { | |
2205 | for(Int_t cs=0;cs<2;cs++) | |
2206 | { | |
2207 | if(fCalculateOnlyCos && 1==cs){continue;} | |
2208 | else if(fCalculateOnlySin && 0==cs){continue;} | |
2209 | fCorrelationsPro[cs][6]->GetXaxis()->SetBinLabel(binNo[cs][6]++,Form("%s(%d,%d,%d,%d,%d,%d,%d)",sCosSin[cs].Data(),n1,n2,n3,n4,n5,n6,n7)); | |
2210 | } // for(Int_t cs=0;cs<2;cs++) | |
2211 | nToBeFilled[6]++; | |
2212 | } | |
2213 | if(7==fDontGoBeyond){continue;} | |
2214 | for(Int_t n8=n7;n8<=fMaxHarmonic;n8++) | |
2215 | { | |
2216 | if(fSkipZeroHarmonics && 0==n8){continue;} | |
2217 | if(fCalculateOnlyForHarmonicQC && TMath::Abs(n8) != fHarmonicQC){continue;} | |
2218 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2+n3+n4+n5+n6+n7+n8) | |
2219 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) | |
2220 | && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6) && TMath::Abs(n1)==TMath::Abs(n7) && TMath::Abs(n1)==TMath::Abs(n8)) | |
2221 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4+n5+n6+n7+n8 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) | |
2222 | && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6) && TMath::Abs(n1)==TMath::Abs(n7) | |
2223 | && TMath::Abs(n1)==TMath::Abs(n8)) | |
2224 | || (fCalculateOnlyForHarmonicQC && 0==n1+n2+n3+n4+n5+n6+n7+n8)) | |
2225 | { | |
2226 | for(Int_t cs=0;cs<2;cs++) | |
2227 | { | |
2228 | if(fCalculateOnlyCos && 1==cs){continue;} | |
2229 | else if(fCalculateOnlySin && 0==cs){continue;} | |
2230 | fCorrelationsPro[cs][7]->GetXaxis()->SetBinLabel(binNo[cs][7]++,Form("%s(%d,%d,%d,%d,%d,%d,%d,%d)",sCosSin[cs].Data(),n1,n2,n3,n4,n5,n6,n7,n8)); | |
2231 | } // for(Int_t cs=0;cs<2;cs++) | |
2232 | nToBeFilled[7]++; | |
2233 | } | |
2234 | } // for(Int_t n8=n7;n8<=fMaxHarmonic;n8++) | |
2235 | } // for(Int_t n7=n6;n7<=fMaxHarmonic;n7++) | |
2236 | } // for(Int_t n6=n5;n6<=fMaxHarmonic;n6++) | |
2237 | } // for(Int_t n5=n4;n5<=fMaxHarmonic;n5++) | |
2238 | } // for(Int_t n4=n3;n4<=fMaxHarmonic;n4++) | |
2239 | } // for(Int_t n3=n2;n3<=fMaxHarmonic;n3++) | |
2240 | } // for(Int_t n2=n1;n2<=fMaxHarmonic;n2++) | |
2241 | } // for(Int_t n1=-fMaxHarmonic;n1<=fMaxHarmonic;n1++) | |
2242 | ||
2243 | for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
2244 | { | |
2245 | if(fCalculateOnlyCos && 1==cs){continue;} | |
2246 | else if(fCalculateOnlySin && 0==cs){continue;} | |
2247 | for(Int_t c=0;c<fMaxCorrelator;c++) // [1p,2p,...,8p] | |
2248 | { | |
2249 | fCorrelationsPro[cs][c]->SetTitle(Form("%d-p correlations, %s terms, %d/%d in total",c+1,sCosSin[cs].Data(),nToBeFilled[c],nBinsTitle[c])); | |
2250 | fCorrelationsPro[cs][c]->GetXaxis()->SetRangeUser(0.,fCorrelationsPro[cs][c]->GetBinLowEdge(nToBeFilled[c]+1)); | |
2251 | } | |
2252 | } | |
2253 | cout<<" Booked. "<<endl; // TBI | |
2254 | ||
2255 | } // end of void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForCorrelations() | |
2256 | ||
2257 | //======================================================================================================================= | |
2258 | ||
2259 | void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForDiffCorrelations() | |
2260 | { | |
2261 | // Book all the stuff for differential correlations. | |
2262 | ||
2263 | // a) Book the profile holding all the flags for differential correlations; | |
2264 | // b) Book TProfile *fDiffCorrelationsPro[2][4] ([0=cos,1=sin][1p,2p,3p,4p]). | |
2265 | ||
2266 | TString sMethodName = "void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForDiffCorrelations()"; | |
2267 | ||
2268 | // a) Book the profile holding all the flags for differential correlations: | |
2269 | fDiffCorrelationsFlagsPro = new TProfile("fDiffCorrelationsFlagsPro","Flags for differential correlations",1,0,1); | |
2270 | fDiffCorrelationsFlagsPro->SetTickLength(-0.01,"Y"); | |
2271 | fDiffCorrelationsFlagsPro->SetMarkerStyle(25); | |
2272 | fDiffCorrelationsFlagsPro->SetLabelSize(0.03); | |
2273 | fDiffCorrelationsFlagsPro->SetLabelOffset(0.02,"Y"); | |
2274 | fDiffCorrelationsFlagsPro->SetStats(kFALSE); | |
2275 | fDiffCorrelationsFlagsPro->SetFillColor(kGray); | |
2276 | fDiffCorrelationsFlagsPro->SetLineColor(kBlack); | |
2277 | fDiffCorrelationsFlagsPro->GetXaxis()->SetBinLabel(1,"fCalculateDiffCorrelations"); fDiffCorrelationsFlagsPro->Fill(0.5,fCalculateDiffCorrelations); | |
2278 | fDiffCorrelationsList->Add(fDiffCorrelationsFlagsPro); | |
2279 | ||
2280 | // b) Book TProfile *fDiffCorrelationsPro[2][4] ([0=cos,1=sin][1p,2p,3p,4p]): | |
2281 | Bool_t fDiffStore[2][4] = {{0,1,1,1},{0,0,0,0}}; // store or not TBI promote to data member, and implement setter perhaps | |
2282 | Int_t nBinsPt = 100; // TBI | |
2283 | Double_t dPtMin = 0.; // TBI | |
2284 | Double_t dPtMax = 10.; // TBI | |
2285 | Int_t markerColor[2] = {kRed,kGreen}; | |
2286 | Int_t markerStyle[2] = {kFullSquare,kOpenSquare}; | |
2287 | TString sCosSin[2] = {"Cos","Sin"}; | |
2288 | TString sLabel[4] = {Form("%d",fDiffHarmonics[0][0]), | |
2289 | Form("%d,%d",fDiffHarmonics[1][0],fDiffHarmonics[1][1]), | |
2290 | Form("%d,%d,%d",fDiffHarmonics[2][0],fDiffHarmonics[2][1],fDiffHarmonics[2][2]), | |
2291 | Form("%d,%d,%d,%d",fDiffHarmonics[3][0],fDiffHarmonics[3][1],fDiffHarmonics[3][2],fDiffHarmonics[3][3])}; | |
2292 | ||
2293 | for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
2294 | { | |
2295 | for(Int_t c=0;c<4;c++) // [1p,2p,3p,4p] | |
2296 | { | |
2297 | fDiffCorrelationsPro[cs][c] = new TProfile(Form("%s, %dp, %s",sCosSin[cs].Data(),c+1,"pt"), | |
2298 | Form("%s(%s)",sCosSin[cs].Data(),sLabel[c].Data()), | |
2299 | nBinsPt,dPtMin,dPtMax); | |
2300 | fDiffCorrelationsPro[cs][c]->Sumw2(); | |
2301 | fDiffCorrelationsPro[cs][c]->SetStats(kFALSE); | |
2302 | fDiffCorrelationsPro[cs][c]->SetMarkerColor(markerColor[cs]); | |
2303 | fDiffCorrelationsPro[cs][c]->SetMarkerStyle(markerStyle[cs]); | |
2304 | fDiffCorrelationsPro[cs][c]->GetXaxis()->SetTitle("p_{T}"); | |
2305 | if(fDiffStore[cs][c]){fDiffCorrelationsList->Add(fDiffCorrelationsPro[cs][c]);} | |
2306 | } // for(Int_t c=0;c<4;c++) // [1p,2p,3p,4p] | |
2307 | } // for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
2308 | ||
2309 | } // void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForDiffCorrelations() | |
2310 | ||
2311 | //======================================================================================================================= | |
2312 | ||
2313 | void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForEbECumulants() | |
2314 | { | |
2315 | // Book all the stuff for event-by-event cumulants. | |
2316 | ||
2317 | // a) Book the profile holding all the flags for e-b-e cumulants; | |
2318 | // b) Book TProfile *fEbECumulantsPro[2][8] ([0=cos,1=sin][1p,2p,...,8p]). | |
2319 | ||
2320 | TString sMethodName = "void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForEbECumulants()"; | |
2321 | ||
2322 | // a) Book the profile holding all the flags for e-b-e cumulants: | |
2323 | fEbECumulantsFlagsPro = new TProfile("fEbECumulantsFlagsPro","Flags for e-b-e cumulants",1,0,1); | |
2324 | fEbECumulantsFlagsPro->SetTickLength(-0.01,"Y"); | |
2325 | fEbECumulantsFlagsPro->SetMarkerStyle(25); | |
2326 | fEbECumulantsFlagsPro->SetLabelSize(0.03); | |
2327 | fEbECumulantsFlagsPro->SetLabelOffset(0.02,"Y"); | |
2328 | fEbECumulantsFlagsPro->SetStats(kFALSE); | |
2329 | fEbECumulantsFlagsPro->SetFillColor(kGray); | |
2330 | fEbECumulantsFlagsPro->SetLineColor(kBlack); | |
2331 | fEbECumulantsFlagsPro->GetXaxis()->SetBinLabel(1,"fCalculateEbECumulants"); fEbECumulantsFlagsPro->Fill(0.5,fCalculateEbECumulants); | |
2332 | fEbECumulantsList->Add(fEbECumulantsFlagsPro); | |
2333 | ||
2334 | if(!fCalculateEbECumulants){return;} // TBI is this safe enough? | |
2335 | ||
2336 | // b) Book TProfile *fEbECumulantsPro[2][8] ([0=cos,1=sin][1p,2p,...,8p]): | |
2337 | TString sCosSin[2] = {"Cos","Sin"}; | |
2338 | Int_t markerColor[2] = {kBlue,kRed}; | |
2339 | Int_t markerStyle[2] = {kFullSquare,kFullSquare}; | |
2340 | Int_t nBins[8] = {1,1,1,1,1,1,1,1}; // TBI hardwired 8, shall be fMaxCorrelator | |
2341 | Int_t nBinsTitle[8] = {1,1,1,1,1,1,1,1}; // TBI hardwired 8, shall be fMaxCorrelator | |
2342 | Int_t nToBeFilled[8] = {0,0,0,0,0,0,0,0}; // TBI hardwired 8, shall be fMaxCorrelator | |
2343 | for(Int_t c=0;c<fMaxCorrelator;c++) // [1p,2p,...,8p] | |
2344 | { | |
2345 | // Implementing \binom{n+k-1}{k}, which is the resulting number of sets obtained | |
2346 | // after sampling n starting elements into k subsets, repetitions allowed. | |
2347 | // In my case, n=2*fMaxHarmonic+1, k=c+1, hence: | |
2348 | nBins[c] = (Int_t)(TMath::Factorial(2*fMaxHarmonic+1+c+1-1) | |
2349 | / (TMath::Factorial(2*fMaxHarmonic+1-1)*TMath::Factorial(c+1))); | |
2350 | nBinsTitle[c] = nBins[c]; | |
2351 | if(c>=fDontGoBeyond){nBins[c]=1;} // TBI a bit of spaghetti here... | |
2352 | } // for(Int_t c=0;c<8;c++) // [1p,2p,...,8p] | |
2353 | for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
2354 | { | |
2355 | for(Int_t c=0;c<fMaxCorrelator;c++) // [1p,2p,...,8p] | |
2356 | { | |
2357 | fEbECumulantsPro[cs][c] = new TProfile(Form("%dpEbECumulants%s",c+1,sCosSin[cs].Data()),"",nBins[c],0.,1.*nBins[c]); | |
2358 | fEbECumulantsPro[cs][c]->Sumw2(); | |
2359 | fEbECumulantsPro[cs][c]->SetStats(kFALSE); | |
2360 | fEbECumulantsPro[cs][c]->SetMarkerColor(markerColor[cs]); | |
2361 | fEbECumulantsPro[cs][c]->SetMarkerStyle(markerStyle[cs]); | |
2362 | fEbECumulantsList->Add(fEbECumulantsPro[cs][c]); | |
2363 | } // for(Int_t c=0;c<8;c++) // [1p,2p,...,8p] | |
2364 | } // for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
2365 | // Set all bin labels: TBI this can be implemented better, most likely... | |
2366 | Int_t binNo[8]; for(Int_t c=0;c<fMaxCorrelator;c++){binNo[c]=1;} // TBI hardwired 8, shall be fMaxCorrelator | |
2367 | for(Int_t n1=-fMaxHarmonic;n1<=fMaxHarmonic;n1++) | |
2368 | { | |
2369 | if(fSkipZeroHarmonics && 0==n1){continue;} | |
2370 | if(fCalculateAll) | |
2371 | { | |
2372 | fEbECumulantsPro[0][0]->GetXaxis()->SetBinLabel(binNo[0],Form("Cos(%d)",n1)); | |
2373 | fEbECumulantsPro[1][0]->GetXaxis()->SetBinLabel(binNo[0]++,Form("Sin(%d)",n1)); | |
2374 | nToBeFilled[0]++; | |
2375 | } | |
2376 | if(1==fDontGoBeyond){continue;} | |
2377 | for(Int_t n2=n1;n2<=fMaxHarmonic;n2++) | |
2378 | { | |
2379 | if(fSkipZeroHarmonics && 0==n2){continue;} | |
2380 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2) || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2)) | |
2381 | || (fCalculateSameIsotropic && 0==n1+n2 && TMath::Abs(n1)==TMath::Abs(n2))) | |
2382 | { | |
2383 | fEbECumulantsPro[0][1]->GetXaxis()->SetBinLabel(binNo[1],Form("Cos(%d,%d)",n1,n2)); | |
2384 | fEbECumulantsPro[1][1]->GetXaxis()->SetBinLabel(binNo[1]++,Form("Sin(%d,%d)",n1,n2)); | |
2385 | nToBeFilled[1]++; | |
2386 | } | |
2387 | if(2==fDontGoBeyond){continue;} | |
2388 | for(Int_t n3=n2;n3<=fMaxHarmonic;n3++) | |
2389 | { | |
2390 | if(fSkipZeroHarmonics && 0==n3){continue;} | |
2391 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2+n3) || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3)) | |
2392 | || (fCalculateSameIsotropic && 0==n1+n2+n3 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3))) | |
2393 | { | |
2394 | fEbECumulantsPro[0][2]->GetXaxis()->SetBinLabel(binNo[2],Form("Cos(%d,%d,%d)",n1,n2,n3)); | |
2395 | fEbECumulantsPro[1][2]->GetXaxis()->SetBinLabel(binNo[2]++,Form("Sin(%d,%d,%d)",n1,n2,n3)); | |
2396 | nToBeFilled[2]++; | |
2397 | } | |
2398 | if(3==fDontGoBeyond){continue;} | |
2399 | for(Int_t n4=n3;n4<=fMaxHarmonic;n4++) | |
2400 | { | |
2401 | if(fSkipZeroHarmonics && 0==n4){continue;} | |
2402 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2+n3+n4) || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4)) | |
2403 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4))) | |
2404 | { | |
2405 | fEbECumulantsPro[0][3]->GetXaxis()->SetBinLabel(binNo[3],Form("Cos(%d,%d,%d,%d)",n1,n2,n3,n4)); | |
2406 | fEbECumulantsPro[1][3]->GetXaxis()->SetBinLabel(binNo[3]++,Form("Sin(%d,%d,%d,%d)",n1,n2,n3,n4)); | |
2407 | nToBeFilled[3]++; | |
2408 | } | |
2409 | if(4==fDontGoBeyond){continue;} | |
2410 | for(Int_t n5=n4;n5<=fMaxHarmonic;n5++) | |
2411 | { | |
2412 | if(fSkipZeroHarmonics && 0==n5){continue;} | |
2413 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2+n3+n4+n5) | |
2414 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5)) | |
2415 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4+n5 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5))) | |
2416 | { | |
2417 | fEbECumulantsPro[0][4]->GetXaxis()->SetBinLabel(binNo[4],Form("Cos(%d,%d,%d,%d,%d)",n1,n2,n3,n4,n5)); | |
2418 | fEbECumulantsPro[1][4]->GetXaxis()->SetBinLabel(binNo[4]++,Form("Sin(%d,%d,%d,%d,%d)",n1,n2,n3,n4,n5)); | |
2419 | nToBeFilled[4]++; | |
2420 | } | |
2421 | if(5==fDontGoBeyond){continue;} | |
2422 | for(Int_t n6=n5;n6<=fMaxHarmonic;n6++) | |
2423 | { | |
2424 | if(fSkipZeroHarmonics && 0==n6){continue;} | |
2425 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2+n3+n4+n5+n6) | |
2426 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) | |
2427 | && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6)) | |
2428 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4+n5+n6 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) | |
2429 | && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6))) | |
2430 | { | |
2431 | fEbECumulantsPro[0][5]->GetXaxis()->SetBinLabel(binNo[5],Form("Cos(%d,%d,%d,%d,%d,%d)",n1,n2,n3,n4,n5,n6)); | |
2432 | fEbECumulantsPro[1][5]->GetXaxis()->SetBinLabel(binNo[5]++,Form("Sin(%d,%d,%d,%d,%d,%d)",n1,n2,n3,n4,n5,n6)); | |
2433 | nToBeFilled[5]++; | |
2434 | } | |
2435 | if(6==fDontGoBeyond){continue;} | |
2436 | for(Int_t n7=n6;n7<=fMaxHarmonic;n7++) | |
2437 | { | |
2438 | if(fSkipZeroHarmonics && 0==n7){continue;} | |
2439 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2+n3+n4+n5+n6+n7) | |
2440 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) | |
2441 | && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6) && TMath::Abs(n1)==TMath::Abs(n7)) | |
2442 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4+n5+n6+n7 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) | |
2443 | && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6) && TMath::Abs(n1)==TMath::Abs(n7))) | |
2444 | { | |
2445 | fEbECumulantsPro[0][6]->GetXaxis()->SetBinLabel(binNo[6],Form("Cos(%d,%d,%d,%d,%d,%d,%d)",n1,n2,n3,n4,n5,n6,n7)); | |
2446 | fEbECumulantsPro[1][6]->GetXaxis()->SetBinLabel(binNo[6]++,Form("Sin(%d,%d,%d,%d,%d,%d,%d)",n1,n2,n3,n4,n5,n6,n7)); | |
2447 | nToBeFilled[6]++; | |
2448 | } | |
2449 | if(7==fDontGoBeyond){continue;} | |
2450 | for(Int_t n8=n7;n8<=fMaxHarmonic;n8++) | |
2451 | { | |
2452 | if(fSkipZeroHarmonics && 0==n8){continue;} | |
2453 | if(fCalculateAll || (fCalculateIsotropic && 0==n1+n2+n3+n4+n5+n6+n7+n8) | |
2454 | || (fCalculateSame && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) && TMath::Abs(n1)==TMath::Abs(n4) | |
2455 | && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6) && TMath::Abs(n1)==TMath::Abs(n7) && TMath::Abs(n1)==TMath::Abs(n8)) | |
2456 | || (fCalculateSameIsotropic && 0==n1+n2+n3+n4+n5+n6+n7+n8 && TMath::Abs(n1)==TMath::Abs(n2) && TMath::Abs(n1)==TMath::Abs(n3) | |
2457 | && TMath::Abs(n1)==TMath::Abs(n4) && TMath::Abs(n1)==TMath::Abs(n5) && TMath::Abs(n1)==TMath::Abs(n6) && TMath::Abs(n1)==TMath::Abs(n7) | |
2458 | && TMath::Abs(n1)==TMath::Abs(n8))) | |
2459 | { | |
2460 | fEbECumulantsPro[0][7]->GetXaxis()->SetBinLabel(binNo[7],Form("Cos(%d,%d,%d,%d,%d,%d,%d,%d)",n1,n2,n3,n4,n5,n6,n7,n8)); | |
2461 | fEbECumulantsPro[1][7]->GetXaxis()->SetBinLabel(binNo[7]++,Form("Sin(%d,%d,%d,%d,%d,%d,%d,%d)",n1,n2,n3,n4,n5,n6,n7,n8)); | |
2462 | nToBeFilled[7]++; | |
2463 | } | |
2464 | } // for(Int_t n8=n7;n8<=fMaxHarmonic;n8++) | |
2465 | } // for(Int_t n7=n6;n7<=fMaxHarmonic;n7++) | |
2466 | } // for(Int_t n6=n5;n6<=fMaxHarmonic;n6++) | |
2467 | } // for(Int_t n5=n4;n5<=fMaxHarmonic;n5++) | |
2468 | } // for(Int_t n4=n3;n4<=fMaxHarmonic;n4++) | |
2469 | } // for(Int_t n3=n2;n3<=fMaxHarmonic;n3++) | |
2470 | } // for(Int_t n2=n1;n2<=fMaxHarmonic;n2++) | |
2471 | } // for(Int_t n1=-fMaxHarmonic;n1<=fMaxHarmonic;n1++) | |
2472 | ||
2473 | for(Int_t cs=0;cs<2;cs++) // [0=cos,1=sin] | |
2474 | { | |
2475 | for(Int_t c=0;c<fMaxCorrelator;c++) // [1p,2p,...,8p] | |
2476 | { | |
2477 | fEbECumulantsPro[cs][c]->SetTitle(Form("%d-p e-b-e cumulants, %s terms, %d/%d in total",c+1,sCosSin[cs].Data(),nToBeFilled[c],nBinsTitle[c])); | |
2478 | fEbECumulantsPro[cs][c]->GetXaxis()->SetRangeUser(0.,fEbECumulantsPro[cs][c]->GetBinLowEdge(nToBeFilled[c]+1)); | |
2479 | } | |
2480 | } | |
2481 | ||
2482 | } // end of void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForEbECumulants() | |
2483 | ||
2484 | //======================================================================================================================= | |
2485 | ||
2486 | void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForNestedLoops() | |
2487 | { | |
2488 | // Book all the stuff for nested loops. | |
2489 | ||
2490 | // TBI this method is just ugly, who implemented it like this... | |
2491 | ||
2492 | // a) Set default harmonic values; | |
2493 | // b) Book the profile holding all the flags for nested loops; | |
2494 | // c) Book the profile holding all results for nested loops (cosine); | |
2495 | // d) Book the profile holding all results for nested loops (sinus); | |
2496 | // e) Book the profile holding all results for differential nested loops. | |
2497 | ||
2498 | // a) Set default harmonic values: | |
2499 | //delete gRandom; // TBI this is not safe here, | |
2500 | //gRandom = new TRandom3(0); | |
2501 | Int_t h1 = (Int_t)pow(-1.,1.*gRandom->Integer(fMaxHarmonic+1))*gRandom->Integer(fMaxHarmonic+1); // TBI reimplement all these lines eventually | |
2502 | Int_t h2 = (Int_t)pow(-1.,1.*gRandom->Integer(fMaxHarmonic+1))*gRandom->Integer(fMaxHarmonic+1); | |
2503 | Int_t h3 = (Int_t)pow(-1.,1.*gRandom->Integer(fMaxHarmonic+1))*gRandom->Integer(fMaxHarmonic+1); | |
2504 | Int_t h4 = (Int_t)pow(-1.,1.*gRandom->Integer(fMaxHarmonic+1))*gRandom->Integer(fMaxHarmonic+1); | |
2505 | Int_t h5 = (Int_t)pow(-1.,1.*gRandom->Integer(fMaxHarmonic+1))*gRandom->Integer(fMaxHarmonic+1); | |
2506 | Int_t h6 = (Int_t)pow(-1.,1.*gRandom->Integer(fMaxHarmonic+1))*gRandom->Integer(fMaxHarmonic+1); | |
2507 | Int_t h7 = (Int_t)pow(-1.,1.*gRandom->Integer(fMaxHarmonic+1))*gRandom->Integer(fMaxHarmonic+1); | |
2508 | Int_t h8 = (Int_t)pow(-1.,1.*gRandom->Integer(fMaxHarmonic+1))*gRandom->Integer(fMaxHarmonic+1); | |
2509 | ||
2510 | // REMARK: This values can be overriden in a steering macro via | |
2511 | // mpc->GetNestedLoopsFlagsPro()->SetBinContent(<binNo>,<value>); | |
2512 | ||
2513 | // b) Book the profile holding all the flags for nested loops: | |
2514 | fNestedLoopsFlagsPro = new TProfile("fNestedLoopsFlagsPro","Flags for nested loops",10,0,10); | |
2515 | fNestedLoopsFlagsPro->SetTickLength(-0.01,"Y"); | |
2516 | fNestedLoopsFlagsPro->SetMarkerStyle(25); | |
2517 | fNestedLoopsFlagsPro->SetLabelSize(0.03); | |
2518 | fNestedLoopsFlagsPro->SetLabelOffset(0.02,"Y"); | |
2519 | fNestedLoopsFlagsPro->SetStats(kFALSE); | |
2520 | fNestedLoopsFlagsPro->SetFillColor(kGray); | |
2521 | fNestedLoopsFlagsPro->SetLineColor(kBlack); | |
2522 | fNestedLoopsFlagsPro->GetXaxis()->SetBinLabel(1,"fCrossCheckWithNestedLoops"); fNestedLoopsFlagsPro->Fill(0.5,fCrossCheckWithNestedLoops); | |
2523 | fNestedLoopsFlagsPro->GetXaxis()->SetBinLabel(2,"h_{1}"); fNestedLoopsFlagsPro->Fill(1.5,h1); | |
2524 | fNestedLoopsFlagsPro->GetXaxis()->SetBinLabel(3,"h_{2}"); fNestedLoopsFlagsPro->Fill(2.5,h2); | |
2525 | fNestedLoopsFlagsPro->GetXaxis()->SetBinLabel(4,"h_{3}"); fNestedLoopsFlagsPro->Fill(3.5,h3); | |
2526 | fNestedLoopsFlagsPro->GetXaxis()->SetBinLabel(5,"h_{4}"); fNestedLoopsFlagsPro->Fill(4.5,h4); | |
2527 | fNestedLoopsFlagsPro->GetXaxis()->SetBinLabel(6,"h_{5}"); fNestedLoopsFlagsPro->Fill(5.5,h5); | |
2528 | fNestedLoopsFlagsPro->GetXaxis()->SetBinLabel(7,"h_{6}"); fNestedLoopsFlagsPro->Fill(6.5,h6); | |
2529 | fNestedLoopsFlagsPro->GetXaxis()->SetBinLabel(8,"h_{7}"); fNestedLoopsFlagsPro->Fill(7.5,h7); | |
2530 | fNestedLoopsFlagsPro->GetXaxis()->SetBinLabel(9,"h_{8}"); fNestedLoopsFlagsPro->Fill(8.5,h8); | |
2531 | fNestedLoopsFlagsPro->GetXaxis()->SetBinLabel(10,"fCrossCheckDiffWithNestedLoops"); fNestedLoopsFlagsPro->Fill(9.5,fCrossCheckDiffWithNestedLoops); | |
2532 | fNestedLoopsList->Add(fNestedLoopsFlagsPro); | |
2533 | ||
2534 | // c) Book the profile holding all results for nested loops (cosine): | |
2535 | fNestedLoopsResultsCosPro = new TProfile("fNestedLoopsResultsCosPro","Nested loops results (cosine)",16,0,16); | |
2536 | fNestedLoopsResultsCosPro->SetTickLength(-0.01,"Y"); | |
2537 | fNestedLoopsResultsCosPro->SetMarkerStyle(25); | |
2538 | fNestedLoopsResultsCosPro->SetLabelSize(0.02); | |
2539 | fNestedLoopsResultsCosPro->SetLabelOffset(0.02,"Y"); | |
2540 | fNestedLoopsResultsCosPro->SetStats(kFALSE); | |
2541 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(1,Form("N: 1p(%d)",h1)); | |
2542 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(2,Form("Q: 1p(%d)",h1)); | |
2543 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(3,Form("N: 2p(%d,%d)",h1,h2)); | |
2544 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(4,Form("Q: 2p(%d,%d)",h1,h2)); | |
2545 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(5,Form("N: 3p(%d,%d,%d)",h1,h2,h3)); | |
2546 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(6,Form("Q: 3p(%d,%d,%d)",h1,h2,h3)); | |
2547 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(7,Form("N: 4p(%d,%d,%d,%d)",h1,h2,h3,h4)); | |
2548 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(8,Form("Q: 4p(%d,%d,%d,%d)",h1,h2,h3,h4)); | |
2549 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(9,Form("N: 5p(%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5)); | |
2550 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(10,Form("Q: 5p(%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5)); | |
2551 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(11,Form("N: 6p(%d,%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5,h6)); | |
2552 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(12,Form("Q: 6p(%d,%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5,h6)); | |
2553 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(13,Form("N: 7p(%d,%d,%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5,h6,h7)); | |
2554 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(14,Form("Q: 7p(%d,%d,%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5,h6,h7)); | |
2555 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(15,Form("N: 8p(%d,%d,%d,%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5,h6,h7,h8)); | |
2556 | fNestedLoopsResultsCosPro->GetXaxis()->SetBinLabel(16,Form("Q: 8p(%d,%d,%d,%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5,h6,h7,h8)); | |
2557 | if(fCrossCheckWithNestedLoops){fNestedLoopsList->Add(fNestedLoopsResultsCosPro);} else{delete fNestedLoopsResultsCosPro;} | |
2558 | ||
2559 | // d) Book the profile holding all results for nested loops (sinus): | |
2560 | fNestedLoopsResultsSinPro = new TProfile("fNestedLoopsResultsSinPro","Nested loops results (sinus)",16,0,16); | |
2561 | fNestedLoopsResultsSinPro->SetTickLength(-0.01,"Y"); | |
2562 | fNestedLoopsResultsSinPro->SetMarkerStyle(25); | |
2563 | fNestedLoopsResultsSinPro->SetLabelSize(0.02); | |
2564 | fNestedLoopsResultsSinPro->SetLabelOffset(0.02,"Y"); | |
2565 | fNestedLoopsResultsSinPro->SetStats(kFALSE); | |
2566 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(1,Form("N: 1p(%d)",h1)); | |
2567 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(2,Form("Q: 1p(%d)",h1)); | |
2568 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(3,Form("N: 2p(%d,%d)",h1,h2)); | |
2569 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(4,Form("Q: 2p(%d,%d)",h1,h2)); | |
2570 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(5,Form("N: 3p(%d,%d,%d)",h1,h2,h3)); | |
2571 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(6,Form("Q: 3p(%d,%d,%d)",h1,h2,h3)); | |
2572 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(7,Form("N: 4p(%d,%d,%d,%d)",h1,h2,h3,h4)); | |
2573 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(8,Form("Q: 4p(%d,%d,%d,%d)",h1,h2,h3,h4)); | |
2574 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(9,Form("N: 5p(%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5)); | |
2575 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(10,Form("Q: 5p(%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5)); | |
2576 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(11,Form("N: 6p(%d,%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5,h6)); | |
2577 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(12,Form("Q: 6p(%d,%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5,h6)); | |
2578 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(13,Form("N: 7p(%d,%d,%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5,h6,h7)); | |
2579 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(14,Form("Q: 7p(%d,%d,%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5,h6,h7)); | |
2580 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(15,Form("N: 8p(%d,%d,%d,%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5,h6,h7,h8)); | |
2581 | fNestedLoopsResultsSinPro->GetXaxis()->SetBinLabel(16,Form("Q: 8p(%d,%d,%d,%d,%d,%d,%d,%d)",h1,h2,h3,h4,h5,h6,h7,h8)); | |
2582 | if(fCrossCheckWithNestedLoops){fNestedLoopsList->Add(fNestedLoopsResultsSinPro);} else{delete fNestedLoopsResultsSinPro;} | |
2583 | ||
2584 | // e) Book the profile holding all results for differential nested loops: | |
2585 | fNestedLoopsDiffResultsPro = new TProfile("fNestedLoopsDiffResultsPro","Differential nested loops results",1,0.,1.); | |
2586 | fNestedLoopsDiffResultsPro->SetStats(kFALSE); | |
2587 | if(fCrossCheckDiffWithNestedLoops){fNestedLoopsList->Add(fNestedLoopsDiffResultsPro);} else{delete fNestedLoopsDiffResultsPro;} | |
2588 | ||
2589 | } // void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForNestedLoops() | |
2590 | ||
2591 | //======================================================================================================================= | |
2592 | ||
2593 | void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForStandardCandles() | |
2594 | { | |
2595 | // Book all the stuff for 'standard candles'. | |
2596 | ||
2597 | // a) Book the profile holding all the flags for 'standard candles'; | |
2598 | // b) Book the histogram holding all results for 'standard candles'; | |
2599 | // c) Book TProfile2D *fProductsSCPro. | |
2600 | ||
2601 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForStandardCandles()"; | |
2602 | ||
2603 | // a) Book the profile holding all the flags for 'standard candles': | |
2604 | fStandardCandlesFlagsPro = new TProfile("fStandardCandlesFlagsPro","Flags for standard candles",2,0,2); | |
2605 | fStandardCandlesFlagsPro->SetTickLength(-0.01,"Y"); | |
2606 | fStandardCandlesFlagsPro->SetMarkerStyle(25); | |
2607 | fStandardCandlesFlagsPro->SetLabelSize(0.03); | |
2608 | fStandardCandlesFlagsPro->SetLabelOffset(0.02,"Y"); | |
2609 | fStandardCandlesFlagsPro->SetStats(kFALSE); | |
2610 | fStandardCandlesFlagsPro->SetFillColor(kGray); | |
2611 | fStandardCandlesFlagsPro->SetLineColor(kBlack); | |
2612 | fStandardCandlesFlagsPro->GetXaxis()->SetBinLabel(1,"fCalculateStandardCandles"); fStandardCandlesFlagsPro->Fill(0.5,fCalculateStandardCandles); | |
2613 | fStandardCandlesFlagsPro->GetXaxis()->SetBinLabel(2,"fPropagateErrorSC"); fStandardCandlesFlagsPro->Fill(1.5,fPropagateErrorSC); | |
2614 | fStandardCandlesList->Add(fStandardCandlesFlagsPro); | |
2615 | ||
2616 | if(!fCalculateStandardCandles){return;} // TBI is this safe like this? | |
2617 | ||
2618 | // b) Book the histogram holding all results for 'standard candles': | |
2619 | Int_t nBins = fMaxHarmonic*(fMaxHarmonic-1)/2; | |
2620 | fStandardCandlesHist = new TH1D("fStandardCandlesHist","Standard candles (SC)",nBins,0.,1.*nBins); | |
2621 | fStandardCandlesHist->SetStats(kFALSE); | |
2622 | fStandardCandlesHist->SetMarkerStyle(kFullSquare); | |
2623 | fStandardCandlesHist->SetMarkerColor(kBlue); | |
2624 | fStandardCandlesHist->SetLineColor(kBlue); | |
2625 | Int_t binNo = 1; | |
2626 | for(Int_t n1=-fMaxHarmonic;n1<=-2;n1++) | |
2627 | { | |
2628 | for(Int_t n2=n1+1;n2<=-1;n2++) | |
2629 | { | |
2630 | fStandardCandlesHist->GetXaxis()->SetBinLabel(binNo++,Form("SC(%d,%d,%d,%d)",n1,n2,-1*n2,-1*n1)); | |
2631 | } | |
2632 | } | |
2633 | if(binNo-1 != nBins){Fatal(sMethodName.Data(),"Well, binNo-1 != nBins ... :'( ");} | |
2634 | fStandardCandlesList->Add(fStandardCandlesHist); | |
2635 | ||
2636 | if(!fPropagateErrorSC){return;} // TBI is this safe like this? | |
2637 | ||
2638 | // c) Book TProfile2D *fProductsSCPro: | |
2639 | Int_t nBins2D = fMaxHarmonic + fMaxHarmonic*(fMaxHarmonic-1)/2; // #2-p + #4-p distinct correlators in SC context | |
2640 | if(nBins2D<=0){Fatal(sMethodName.Data(),"nBins2D<=0");} // well, just in case... | |
2641 | fProductsSCPro = new TProfile2D("fProductsSCPro","Products of correlations",nBins2D,0.,nBins2D,nBins2D,0.,nBins2D); | |
2642 | fProductsSCPro->SetStats(kFALSE); | |
2643 | fProductsSCPro->Sumw2(); | |
2644 | for(Int_t b=1;b<=fMaxHarmonic;b++) // 2-p correlators | |
2645 | { | |
2646 | fProductsSCPro->GetXaxis()->SetBinLabel(b,Form("Cos(%d,%d)",-(fMaxHarmonic+1-b),(fMaxHarmonic+1-b))); | |
2647 | fProductsSCPro->GetYaxis()->SetBinLabel(b,Form("Cos(%d,%d)",-(fMaxHarmonic+1-b),(fMaxHarmonic+1-b))); | |
2648 | } // for(Int_t b=1;b<=fMaxHarmonic;b++) // 2-p correlators | |
2649 | for(Int_t b=fMaxHarmonic+1;b<=nBins2D;b++) // 4-p correlators | |
2650 | { | |
2651 | TString sBinLabel = fStandardCandlesHist->GetXaxis()->GetBinLabel(b-fMaxHarmonic); | |
2652 | if(sBinLabel.EqualTo("")){Fatal(sMethodName.Data(),"sBinLabel.EqualTo...");} | |
2653 | fProductsSCPro->GetXaxis()->SetBinLabel(b,sBinLabel.ReplaceAll("SC","Cos").Data()); | |
2654 | fProductsSCPro->GetYaxis()->SetBinLabel(b,sBinLabel.ReplaceAll("SC","Cos").Data()); | |
2655 | } // for(Int_t b=fMaxHarmonic+1;b<=nBins2D;b++) // 4-p correlators | |
2656 | fStandardCandlesList->Add(fProductsSCPro); | |
2657 | ||
2658 | } // end of void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForStandardCandles() | |
2659 | ||
2660 | //======================================================================================================================= | |
2661 | ||
2662 | void AliFlowAnalysisWithMultiparticleCorrelations::GetOutputHistograms(TList *histList) | |
2663 | { | |
2664 | // Get pointers for everything and everywhere from the base list "fHistList". | |
2665 | ||
2666 | // a) Get pointer for base list fHistList; | |
2667 | // b) Get pointer for profile holding internal flags and, well, set again all flags; | |
2668 | // c) Get pointers for control histograms; | |
2669 | // d) Get pointers for Q-vector; | |
2670 | // e) Get pointers for correlations; | |
2671 | // f) Get pointers for 'standard candles'; | |
2672 | // g) Get pointers for Q-cumulants; | |
2673 | // h) Get pointers for differential correlations. | |
2674 | ||
2675 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::GetOutputHistograms(TList *histList)"; | |
2676 | ||
2677 | // a) Get pointer for base list fHistList and profile holding internal flags; | |
2678 | fHistList = histList; | |
2679 | if(!fHistList){Fatal(sMethodName.Data(),"fHistList is malicious today...");} | |
2680 | ||
2681 | // b) Get pointer for profile holding internal flags and, well, set again all flags: | |
2682 | fInternalFlagsPro = dynamic_cast<TProfile*>(fHistList->FindObject("fInternalFlagsPro")); | |
2683 | if(!fInternalFlagsPro){Fatal(sMethodName.Data(),"fInternalFlagsPro");} | |
2684 | fUseInternalFlags = fInternalFlagsPro->GetBinContent(1); | |
2685 | fMinNoRPs = (Int_t)fInternalFlagsPro->GetBinContent(2); | |
2686 | fMaxNoRPs = (Int_t)fInternalFlagsPro->GetBinContent(3); | |
2687 | fExactNoRPs = (Int_t)fInternalFlagsPro->GetBinContent(4); | |
2688 | ||
2689 | // c) Get pointers for control histograms: | |
2690 | this->GetPointersForControlHistograms(); | |
2691 | ||
2692 | // d) Get pointers for Q-vector: | |
2693 | this->GetPointersForQvector(); | |
2694 | ||
2695 | // e) Get pointers for correlations: | |
2696 | this->GetPointersForCorrelations(); | |
2697 | ||
2698 | // f) Get pointers for 'standard candles': | |
2699 | this->GetPointersForStandardCandles(); | |
2700 | ||
2701 | // g) Get pointers for Q-cumulants: | |
2702 | this->GetPointersForQcumulants(); | |
2703 | ||
2704 | // h) Get pointers for differential correlations: | |
2705 | this->GetPointersForDiffCorrelations(); | |
2706 | ||
2707 | } // void AliFlowAnalysisWithMultiparticleCorrelations::GetOutputHistograms(TList *histList) | |
2708 | ||
2709 | //======================================================================================================================= | |
2710 | ||
2711 | void AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForQvector() | |
2712 | { | |
2713 | // Get pointers for Q-vector objects. | |
2714 | ||
2715 | // a) Get pointer for fQvectorList; | |
2716 | // b) Get pointer for fQvectorFlagsPro; | |
2717 | // c) Set again all flags. | |
2718 | ||
2719 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForQvector()"; | |
2720 | ||
2721 | // a) Get pointer for fQvectorList: | |
2722 | fQvectorList = dynamic_cast<TList*>(fHistList->FindObject("Q-vectors")); | |
2723 | if(!fQvectorList){Fatal(sMethodName.Data(),"fQvectorList");} | |
2724 | ||
2725 | // b) Get pointer for fQvectorFlagsPro: | |
2726 | fQvectorFlagsPro = dynamic_cast<TProfile*>(fQvectorList->FindObject("fQvectorFlagsPro")); | |
2727 | if(!fQvectorFlagsPro){Fatal(sMethodName.Data(),"fQvectorFlagsPro");} | |
2728 | ||
2729 | // c) Set again all flags: | |
2730 | fCalculateQvector = (Bool_t)fQvectorFlagsPro->GetBinContent(1); | |
2731 | fCalculateDiffQvectors = (Bool_t)fQvectorFlagsPro->GetBinContent(2); | |
2732 | ||
2733 | } // void AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForQvector() | |
2734 | ||
2735 | //======================================================================================================================= | |
2736 | ||
2737 | void AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForStandardCandles() | |
2738 | { | |
2739 | // Get pointers for 'standard candles'. | |
2740 | ||
2741 | // a) Get pointer for fStandardCandlesList; | |
2742 | // b) Get pointer for fStandardCandlesFlagsPro; | |
2743 | // c) Set again all flags; | |
2744 | // d) Get pointer TH1D *fStandardCandlesHist; | |
2745 | // e) Get pointer TProfile2D *fProductsSCPro. | |
2746 | ||
2747 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForStandardCandles()"; | |
2748 | ||
2749 | // a) Get pointer for fStandardCandlesList: | |
2750 | fStandardCandlesList = dynamic_cast<TList*>(fHistList->FindObject("Standard Candles")); | |
2751 | if(!fStandardCandlesList){Fatal(sMethodName.Data(),"fStandardCandlesList");} | |
2752 | ||
2753 | // b) Get pointer for fStandardCandlesFlagsPro: | |
2754 | fStandardCandlesFlagsPro = dynamic_cast<TProfile*>(fStandardCandlesList->FindObject("fStandardCandlesFlagsPro")); | |
2755 | if(!fStandardCandlesFlagsPro){Fatal(sMethodName.Data(),"fStandardCandlesFlagsPro");} | |
2756 | ||
2757 | // c) Set again all flags: | |
2758 | fCalculateStandardCandles = (Bool_t)fStandardCandlesFlagsPro->GetBinContent(1); | |
2759 | fPropagateErrorSC = (Bool_t)fStandardCandlesFlagsPro->GetBinContent(2); | |
2760 | ||
2761 | if(!fCalculateStandardCandles){return;} // TBI is this safe enough | |
2762 | ||
2763 | // d) Get pointer TH1D *fStandardCandlesHist: | |
2764 | fStandardCandlesHist = dynamic_cast<TH1D*>(fStandardCandlesList->FindObject("fStandardCandlesHist")); | |
2765 | ||
2766 | if(!fPropagateErrorSC){return;} // TBI is this safe enough | |
2767 | ||
2768 | // e) Get pointer TProfile2D *fProductsSCPro: | |
2769 | fProductsSCPro = dynamic_cast<TProfile2D*>(fStandardCandlesList->FindObject("fProductsSCPro")); | |
2770 | ||
2771 | } // void AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForStandardCandles() | |
2772 | ||
2773 | //======================================================================================================================= | |
2774 | ||
2775 | void AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForControlHistograms() | |
2776 | { | |
2777 | // Get pointers for control histograms. | |
2778 | ||
2779 | // a) Get pointer for fControlHistogramsList; TBI | |
2780 | // b) Get pointer for fControlHistogramsFlagsPro; TBI | |
2781 | // c) Set again all flags; TBI | |
2782 | // d) Get pointers to TH1D *fKinematicsHist[2][3]; TBI | |
2783 | // e) Get pointers to TH1D *fMultDistributionsHist[3]; TBI | |
2784 | // f) Get pointers to TH2D *fMultCorrelationsHist[3]. TBI | |
2785 | ||
2786 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForControlHistograms()"; | |
2787 | ||
2788 | // a) Get pointer for fControlHistogramsList: TBI | |
2789 | fControlHistogramsList = dynamic_cast<TList*>(fHistList->FindObject("Control Histograms")); | |
2790 | if(!fControlHistogramsList){Fatal(sMethodName.Data(),"fControlHistogramsList");} | |
2791 | ||
2792 | // b) Get pointer for fControlHistogramsFlagsPro: TBI | |
2793 | fControlHistogramsFlagsPro = dynamic_cast<TProfile*>(fControlHistogramsList->FindObject("fControlHistogramsFlagsPro")); | |
2794 | if(!fControlHistogramsFlagsPro){Fatal(sMethodName.Data(),"fControlHistogramsFlagsPro");} | |
2795 | ||
2796 | // c) Set again all flags: | |
2797 | fFillControlHistograms = fControlHistogramsFlagsPro->GetBinContent(1); | |
2798 | fFillKinematicsHist = fControlHistogramsFlagsPro->GetBinContent(2); | |
2799 | fFillMultDistributionsHist = fControlHistogramsFlagsPro->GetBinContent(3); | |
2800 | fFillMultCorrelationsHist = fControlHistogramsFlagsPro->GetBinContent(4); | |
2801 | ||
2802 | if(!fFillControlHistograms){return;} // TBI is this safe enough | |
2803 | ||
2804 | // d) Get pointers to fKinematicsHist[2][3]: TBI | |
2805 | TString name[2][3] = {{"RP,phi","RP,pt","RP,eta"},{"POI,phi","POI,pt","POI,eta"}}; // [RP,POI][phi,pt,eta] | |
2806 | for(Int_t rp=0;rp<2;rp++) // [RP,POI] | |
2807 | { | |
2808 | for(Int_t ppe=0;ppe<3;ppe++) // [phi,pt,eta] | |
2809 | { | |
2810 | fKinematicsHist[rp][ppe] = dynamic_cast<TH1D*>(fControlHistogramsList->FindObject(name[rp][ppe].Data())); | |
2811 | if(!fKinematicsHist[rp][ppe] && fFillKinematicsHist){Fatal(sMethodName.Data(),"%s",name[rp][ppe].Data());} // TBI | |
2812 | } | |
2813 | } | |
2814 | ||
2815 | // e) Get pointers to TH1D *fMultDistributionsHist[3]: | |
2816 | TString nameMult[3] = {"Multiplicity (RP)","Multiplicity (POI)","Multiplicity (REF)"}; // [RP,POI,reference multiplicity] | |
2817 | for(Int_t rprm=0;rprm<3;rprm++) // [RP,POI,reference multiplicity] | |
2818 | { | |
2819 | fMultDistributionsHist[rprm] = dynamic_cast<TH1D*>(fControlHistogramsList->FindObject(nameMult[rprm].Data())); | |
2820 | if(!fMultDistributionsHist[rprm] && fFillMultDistributionsHist){Fatal(sMethodName.Data(),"%s",nameMult[rprm].Data());} // TBI | |
2821 | } // for(Int_t rprm=0;rprm<3;rprm++) // [RP,POI,reference multiplicity] | |
2822 | ||
2823 | // f) Get pointers to TH2D *fMultCorrelationsHist[3]: TBI automatize the things here... | |
2824 | fMultCorrelationsHist[0] = dynamic_cast<TH2D*>(fControlHistogramsList->FindObject("Multiplicity (RP vs. POI)")); | |
2825 | if(!fMultCorrelationsHist[0] && fFillMultCorrelationsHist){Fatal(sMethodName.Data(),"Multiplicity (RP vs. POI)");} // TBI | |
2826 | fMultCorrelationsHist[1] = dynamic_cast<TH2D*>(fControlHistogramsList->FindObject("Multiplicity (RP vs. REF)")); | |
2827 | if(!fMultCorrelationsHist[1] && fFillMultCorrelationsHist){Fatal(sMethodName.Data(),"Multiplicity (RP vs. REF)");} // TBI | |
2828 | fMultCorrelationsHist[2] = dynamic_cast<TH2D*>(fControlHistogramsList->FindObject("Multiplicity (POI vs. REF)")); | |
2829 | if(!fMultCorrelationsHist[2] && fFillMultCorrelationsHist){Fatal(sMethodName.Data(),"Multiplicity (POI vs. REF)");} // TBI | |
2830 | ||
2831 | } // void AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForControlHistograms() | |
2832 | ||
2833 | //======================================================================================================================= | |
2834 | ||
2835 | void AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForCorrelations() | |
2836 | { | |
2837 | // Get pointers for correlations. | |
2838 | ||
2839 | // a) Get pointer for fCorrelationsList; TBI | |
2840 | // b) Get pointer for fCorrelationsFlagsPro; TBI | |
2841 | // c) Set again all flags; TBI | |
2842 | // d) Get pointers to TProfile *fCorrelationsPro[2][8]. | |
2843 | ||
2844 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForCorrelations()"; | |
2845 | ||
2846 | // a) Get pointer for fCorrelationsList: TBI | |
2847 | fCorrelationsList = dynamic_cast<TList*>(fHistList->FindObject("Correlations")); | |
2848 | if(!fCorrelationsList){Fatal(sMethodName.Data(),"fCorrelationsList");} | |
2849 | ||
2850 | // b) Get pointer for fCorrelationsFlagsPro: TBI | |
2851 | fCorrelationsFlagsPro = dynamic_cast<TProfile*>(fCorrelationsList->FindObject("fCorrelationsFlagsPro")); | |
2852 | ||
2853 | if(!fCorrelationsFlagsPro){Fatal(sMethodName.Data(),"fCorrelationsFlagsPro");} | |
2854 | ||
2855 | // c) Set again all flags: | |
2856 | fCalculateCorrelations = fCorrelationsFlagsPro->GetBinContent(1); | |
2857 | fMaxHarmonic = (Int_t)fCorrelationsFlagsPro->GetBinContent(2); | |
2858 | fMaxCorrelator = (Int_t)fCorrelationsFlagsPro->GetBinContent(3); | |
2859 | fCalculateIsotropic = (Bool_t)fCorrelationsFlagsPro->GetBinContent(4); | |
2860 | fCalculateSame = (Bool_t)fCorrelationsFlagsPro->GetBinContent(5); | |
2861 | fSkipZeroHarmonics = (Bool_t)fCorrelationsFlagsPro->GetBinContent(6); | |
2862 | fCalculateSameIsotropic = (Bool_t)fCorrelationsFlagsPro->GetBinContent(7); | |
2863 | fCalculateAll = (Bool_t)fCorrelationsFlagsPro->GetBinContent(8); | |
2864 | fDontGoBeyond = (Int_t)fCorrelationsFlagsPro->GetBinContent(9); | |
2865 | fCalculateOnlyForHarmonicQC = (Bool_t)fCorrelationsFlagsPro->GetBinContent(10); | |
2866 | fCalculateOnlyForSC = (Bool_t)fCorrelationsFlagsPro->GetBinContent(11); | |
2867 | fCalculateOnlyCos = (Bool_t)fCorrelationsFlagsPro->GetBinContent(12); | |
2868 | fCalculateOnlySin = (Bool_t)fCorrelationsFlagsPro->GetBinContent(13); | |
2869 | ||
2870 | if(!fCalculateCorrelations){return;} // TBI is this safe enough, that is the question... | |
2871 | ||
2872 | // d) Get pointers to TProfile *fCorrelationsPro[2][8]: | |
2873 | TString sCosSin[2] = {"Cos","Sin"}; | |
2874 | for(Int_t cs=0;cs<2;cs++) | |
2875 | { | |
2876 | if(fCalculateOnlyCos && 1==cs){continue;} | |
2877 | else if(fCalculateOnlySin && 0==cs){continue;} | |
2878 | for(Int_t c=0;c<fMaxCorrelator;c++) | |
2879 | { | |
2880 | fCorrelationsPro[cs][c] = dynamic_cast<TProfile*>(fCorrelationsList->FindObject(Form("%dpCorrelations%s",c+1,sCosSin[cs].Data()))); | |
2881 | if(!fCorrelationsPro[cs][c]){Fatal(sMethodName.Data(),"%dpCorrelations%s",c+1,sCosSin[cs].Data());} | |
2882 | } | |
2883 | } | |
2884 | ||
2885 | } // void AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForCorrelations() | |
2886 | ||
2887 | //======================================================================================================================= | |
2888 | ||
2889 | void AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForQcumulants() | |
2890 | { | |
2891 | // Get pointers for Q-cumulants. | |
2892 | ||
2893 | // a) Get pointer for fQcumulantsList; | |
2894 | // b) Get pointer for fQcumulantsFlagsPro; | |
2895 | // c) Set again all flags; | |
2896 | // d) Get pointer for fQcumulantsHist; | |
2897 | // e) Get pointer for fReferenceFlowHist; | |
2898 | // f) Get pointer for fProductsQCPro. | |
2899 | ||
2900 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForQcumulants()"; | |
2901 | ||
2902 | // a) Get pointer for fQcumulantsList: | |
2903 | fQcumulantsList = dynamic_cast<TList*>(fHistList->FindObject("Q-cumulants")); | |
2904 | if(!fQcumulantsList){Fatal(sMethodName.Data(),"fQcumulantsList");} | |
2905 | ||
2906 | // b) Get pointer for fQcumulantsFlagsPro: | |
2907 | fQcumulantsFlagsPro = dynamic_cast<TProfile*>(fQcumulantsList->FindObject("fQcumulantsFlagsPro")); | |
2908 | if(!fQcumulantsFlagsPro){Fatal(sMethodName.Data(),"fQcumulantsFlagsPro");} | |
2909 | ||
2910 | // c) Set again all flags: | |
2911 | fCalculateQcumulants = (Bool_t) fQcumulantsFlagsPro->GetBinContent(1); | |
2912 | fHarmonicQC = (Int_t) fQcumulantsFlagsPro->GetBinContent(2); | |
2913 | fPropagateErrorQC = (Bool_t) fQcumulantsFlagsPro->GetBinContent(3); | |
2914 | ||
2915 | if(!fCalculateQcumulants){return;} // TBI is this safe enough | |
2916 | ||
2917 | // d) Get pointer for fQcumulantsHist: | |
2918 | fQcumulantsHist = dynamic_cast<TH1D*>(fQcumulantsList->FindObject("Q-cumulants")); | |
2919 | if(!fQcumulantsHist){Fatal(sMethodName.Data(),"fQcumulantsHist");} | |
2920 | ||
2921 | // e) Get pointer for fReferenceFlowHist: | |
2922 | fReferenceFlowHist = dynamic_cast<TH1D*>(fQcumulantsList->FindObject("Reference Flow")); | |
2923 | if(!fReferenceFlowHist){Fatal(sMethodName.Data(),"fReferenceFlowHist");} | |
2924 | ||
2925 | if(!fPropagateErrorQC){return;} // TBI is this safe enough | |
2926 | ||
2927 | // f) Get pointer for fProductsQCPro: | |
2928 | fProductsQCPro = dynamic_cast<TProfile2D*>(fQcumulantsList->FindObject("fProductsQCPro")); | |
2929 | if(!fProductsQCPro){Fatal(sMethodName.Data(),"fProductsQCPro");} | |
2930 | ||
2931 | } // void AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForQcumulants() | |
2932 | ||
2933 | //======================================================================================================================= | |
2934 | ||
2935 | void AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForDiffCorrelations() | |
2936 | { | |
2937 | // Get pointers for differential correlations. | |
2938 | ||
2939 | // a) Get pointer for fDiffCorrelationsList; | |
2940 | // b) Get pointer for fDiffCorrelationsFlagsPro; | |
2941 | // c) Set again all flags; | |
2942 | // d) Get pointers to TProfile *fDiffCorrelationsPro[2][4]. | |
2943 | ||
2944 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForDiffCorrelations()"; | |
2945 | ||
2946 | // a) Get pointer for fDiffCorrelationsList: | |
2947 | fDiffCorrelationsList = dynamic_cast<TList*>(fHistList->FindObject("Differential Correlations")); | |
2948 | if(!fDiffCorrelationsList){Fatal(sMethodName.Data(),"fDiffCorrelationsList");} | |
2949 | ||
2950 | // b) Get pointer for fDiffCorrelationsFlagsPro: | |
2951 | fDiffCorrelationsFlagsPro = dynamic_cast<TProfile*>(fDiffCorrelationsList->FindObject("fDiffCorrelationsFlagsPro")); | |
2952 | if(!fDiffCorrelationsFlagsPro){Fatal(sMethodName.Data(),"fDiffCorrelationsFlagsPro");} | |
2953 | ||
2954 | // c) Set again all flags: | |
2955 | fCalculateDiffCorrelations = fDiffCorrelationsFlagsPro->GetBinContent(1); | |
2956 | ||
2957 | if(!fCalculateDiffCorrelations){return;} | |
2958 | ||
2959 | // d) Get pointers to TProfile *fDiffCorrelationsPro[2][4]: _77 | |
2960 | /* | |
2961 | TString sCosSin[2] = {"Cos","Sin"}; | |
2962 | for(Int_t cs=0;cs<2;cs++) | |
2963 | { | |
2964 | if(fCalculateOnlyCos && 1==cs){continue;} | |
2965 | else if(fCalculateOnlySin && 0==cs){continue;} | |
2966 | for(Int_t c=0;c<fMaxCorrelator;c++) | |
2967 | { | |
2968 | fCorrelationsPro[cs][c] = dynamic_cast<TProfile*>(fCorrelationsList->FindObject(Form("%dpCorrelations%s",c+1,sCosSin[cs].Data()))); | |
2969 | if(!fCorrelationsPro[cs][c]){Fatal(sMethodName.Data(),"%dpCorrelations%s",c+1,sCosSin[cs].Data());} | |
2970 | } | |
2971 | } | |
2972 | */ | |
2973 | ||
2974 | } // void AliFlowAnalysisWithMultiparticleCorrelations::GetPointersForDiffCorrelations() | |
2975 | ||
2976 | //======================================================================================================================= | |
2977 | ||
2978 | void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForQvector() | |
2979 | { | |
2980 | // Initialize all arrays for Q-vector. | |
2981 | ||
2982 | for(Int_t h=0;h<fMaxHarmonic*fMaxCorrelator+1;h++) | |
2983 | { | |
2984 | for(Int_t wp=0;wp<fMaxCorrelator+1;wp++) // weight power | |
2985 | { | |
2986 | fQvector[h][wp] = TComplex(0.,0.); | |
2987 | for(Int_t b=0;b<100;b++) // TBI hardwired 100 | |
2988 | { | |
2989 | fpvector[b][h][wp] = TComplex(0.,0.); | |
2990 | fqvector[b][h][wp] = TComplex(0.,0.); | |
2991 | } | |
2992 | } | |
2993 | } | |
2994 | ||
2995 | } // void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForQvector() | |
2996 | ||
2997 | //======================================================================================================================= | |
2998 | ||
2999 | void AliFlowAnalysisWithMultiparticleCorrelations::ResetQvector() | |
3000 | { | |
3001 | // Reset all Q-vector components to zero before starting a new event. | |
3002 | ||
3003 | for(Int_t h=0;h<fMaxHarmonic*fMaxCorrelator+1;h++) | |
3004 | { | |
3005 | for(Int_t wp=0;wp<fMaxCorrelator+1;wp++) // weight powe | |
3006 | { | |
3007 | fQvector[h][wp] = TComplex(0.,0.); | |
3008 | if(!fCalculateDiffQvectors){continue;} | |
3009 | for(Int_t b=0;b<100;b++) // TBI hardwired 100 | |
3010 | { | |
3011 | fpvector[b][h][wp] = TComplex(0.,0.); | |
3012 | fqvector[b][h][wp] = TComplex(0.,0.); | |
3013 | } | |
3014 | } | |
3015 | } | |
3016 | ||
3017 | } // void AliFlowAnalysisWithMultiparticleCorrelations::ResetQvector() | |
3018 | ||
3019 | //======================================================================================================================= | |
3020 | ||
3021 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::Q(Int_t n, Int_t wp) | |
3022 | { | |
3023 | // Using the fact that Q{-n,p} = Q{n,p}^*. | |
3024 | ||
3025 | if(n>=0){return fQvector[n][wp];} | |
3026 | return TComplex::Conjugate(fQvector[-n][wp]); | |
3027 | ||
3028 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::Q(Int_t n, Int_t wp) | |
3029 | ||
3030 | //======================================================================================================================= | |
3031 | ||
3032 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::p(Int_t n, Int_t wp) | |
3033 | { | |
3034 | // Using the fact that p{-n,p} = p{n,p}^*. | |
3035 | ||
3036 | if(n>=0){return fpvector[fDiffBinNo][n][wp];} | |
3037 | return TComplex::Conjugate(fpvector[fDiffBinNo][-n][wp]); | |
3038 | ||
3039 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::p(Int_t n, Int_t p) | |
3040 | ||
3041 | //======================================================================================================================= | |
3042 | ||
3043 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::q(Int_t n, Int_t wp) | |
3044 | { | |
3045 | // Using the fact that q{-n,p} = q{n,p}^*. | |
3046 | ||
3047 | if(n>=0){return fqvector[fDiffBinNo][n][wp];} | |
3048 | return TComplex::Conjugate(fqvector[fDiffBinNo][-n][wp]); | |
3049 | ||
3050 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::q(Int_t n, Int_t wp) | |
3051 | ||
3052 | //======================================================================================================================= | |
3053 | ||
3054 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::One(Int_t n1) | |
3055 | { | |
3056 | // Generic expression <exp[i(n1*phi1)]>. TBI comment | |
3057 | ||
3058 | TComplex one = Q(n1,1); | |
3059 | ||
3060 | return one; | |
3061 | ||
3062 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::One(Int_t n1) | |
3063 | ||
3064 | //======================================================================================================================= | |
3065 | ||
3066 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::Two(Int_t n1, Int_t n2) | |
3067 | { | |
3068 | // Generic two-particle correlation <exp[i(n1*phi1+n2*phi2)]>. | |
3069 | ||
3070 | TComplex two = Q(n1,1)*Q(n2,1)-Q(n1+n2,2); | |
3071 | ||
3072 | return two; | |
3073 | ||
3074 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::Two(Int_t n1, Int_t n2) | |
3075 | ||
3076 | //======================================================================================================================= | |
3077 | ||
3078 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::Three(Int_t n1, Int_t n2, Int_t n3) | |
3079 | { | |
3080 | // Generic three-particle correlation <exp[i(n1*phi1+n2*phi2+n3*phi3)]>. | |
3081 | ||
3082 | TComplex three = Q(n1,1)*Q(n2,1)*Q(n3,1)-Q(n1+n2,2)*Q(n3,1)-Q(n2,1)*Q(n1+n3,2) | |
3083 | - Q(n1,1)*Q(n2+n3,2)+2.*Q(n1+n2+n3,3); | |
3084 | ||
3085 | return three; | |
3086 | ||
3087 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::Three(Int_t n1, Int_t n2, Int_t n3) | |
3088 | ||
3089 | //======================================================================================================================= | |
3090 | ||
3091 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::Four(Int_t n1, Int_t n2, Int_t n3, Int_t n4) | |
3092 | { | |
3093 | // Generic four-particle correlation <exp[i(n1*phi1+n2*phi2+n3*phi3+n4*phi4)]>. | |
3094 | ||
3095 | TComplex four = Q(n1,1)*Q(n2,1)*Q(n3,1)*Q(n4,1)-Q(n1+n2,2)*Q(n3,1)*Q(n4,1)-Q(n2,1)*Q(n1+n3,2)*Q(n4,1) | |
3096 | - Q(n1,1)*Q(n2+n3,2)*Q(n4,1)+2.*Q(n1+n2+n3,3)*Q(n4,1)-Q(n2,1)*Q(n3,1)*Q(n1+n4,2) | |
3097 | + Q(n2+n3,2)*Q(n1+n4,2)-Q(n1,1)*Q(n3,1)*Q(n2+n4,2)+Q(n1+n3,2)*Q(n2+n4,2) | |
3098 | + 2.*Q(n3,1)*Q(n1+n2+n4,3)-Q(n1,1)*Q(n2,1)*Q(n3+n4,2)+Q(n1+n2,2)*Q(n3+n4,2) | |
3099 | + 2.*Q(n2,1)*Q(n1+n3+n4,3)+2.*Q(n1,1)*Q(n2+n3+n4,3)-6.*Q(n1+n2+n3+n4,4); | |
3100 | ||
3101 | return four; | |
3102 | ||
3103 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::Four(Int_t n1, Int_t n2, Int_t n3, Int_t n4) | |
3104 | ||
3105 | //======================================================================================================================= | |
3106 | ||
3107 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::Five(Int_t n1, Int_t n2, Int_t n3, Int_t n4, Int_t n5) | |
3108 | { | |
3109 | // Generic five-particle correlation <exp[i(n1*phi1+n2*phi2+n3*phi3+n4*phi4+n5*phi5)]>. | |
3110 | ||
3111 | TComplex five = Q(n1,1)*Q(n2,1)*Q(n3,1)*Q(n4,1)*Q(n5,1)-Q(n1+n2,2)*Q(n3,1)*Q(n4,1)*Q(n5,1) | |
3112 | - Q(n2,1)*Q(n1+n3,2)*Q(n4,1)*Q(n5,1)-Q(n1,1)*Q(n2+n3,2)*Q(n4,1)*Q(n5,1) | |
3113 | + 2.*Q(n1+n2+n3,3)*Q(n4,1)*Q(n5,1)-Q(n2,1)*Q(n3,1)*Q(n1+n4,2)*Q(n5,1) | |
3114 | + Q(n2+n3,2)*Q(n1+n4,2)*Q(n5,1)-Q(n1,1)*Q(n3,1)*Q(n2+n4,2)*Q(n5,1) | |
3115 | + Q(n1+n3,2)*Q(n2+n4,2)*Q(n5,1)+2.*Q(n3,1)*Q(n1+n2+n4,3)*Q(n5,1) | |
3116 | - Q(n1,1)*Q(n2,1)*Q(n3+n4,2)*Q(n5,1)+Q(n1+n2,2)*Q(n3+n4,2)*Q(n5,1) | |
3117 | + 2.*Q(n2,1)*Q(n1+n3+n4,3)*Q(n5,1)+2.*Q(n1,1)*Q(n2+n3+n4,3)*Q(n5,1) | |
3118 | - 6.*Q(n1+n2+n3+n4,4)*Q(n5,1)-Q(n2,1)*Q(n3,1)*Q(n4,1)*Q(n1+n5,2) | |
3119 | + Q(n2+n3,2)*Q(n4,1)*Q(n1+n5,2)+Q(n3,1)*Q(n2+n4,2)*Q(n1+n5,2) | |
3120 | + Q(n2,1)*Q(n3+n4,2)*Q(n1+n5,2)-2.*Q(n2+n3+n4,3)*Q(n1+n5,2) | |
3121 | - Q(n1,1)*Q(n3,1)*Q(n4,1)*Q(n2+n5,2)+Q(n1+n3,2)*Q(n4,1)*Q(n2+n5,2) | |
3122 | + Q(n3,1)*Q(n1+n4,2)*Q(n2+n5,2)+Q(n1,1)*Q(n3+n4,2)*Q(n2+n5,2) | |
3123 | - 2.*Q(n1+n3+n4,3)*Q(n2+n5,2)+2.*Q(n3,1)*Q(n4,1)*Q(n1+n2+n5,3) | |
3124 | - 2.*Q(n3+n4,2)*Q(n1+n2+n5,3)-Q(n1,1)*Q(n2,1)*Q(n4,1)*Q(n3+n5,2) | |
3125 | + Q(n1+n2,2)*Q(n4,1)*Q(n3+n5,2)+Q(n2,1)*Q(n1+n4,2)*Q(n3+n5,2) | |
3126 | + Q(n1,1)*Q(n2+n4,2)*Q(n3+n5,2)-2.*Q(n1+n2+n4,3)*Q(n3+n5,2) | |
3127 | + 2.*Q(n2,1)*Q(n4,1)*Q(n1+n3+n5,3)-2.*Q(n2+n4,2)*Q(n1+n3+n5,3) | |
3128 | + 2.*Q(n1,1)*Q(n4,1)*Q(n2+n3+n5,3)-2.*Q(n1+n4,2)*Q(n2+n3+n5,3) | |
3129 | - 6.*Q(n4,1)*Q(n1+n2+n3+n5,4)-Q(n1,1)*Q(n2,1)*Q(n3,1)*Q(n4+n5,2) | |
3130 | + Q(n1+n2,2)*Q(n3,1)*Q(n4+n5,2)+Q(n2,1)*Q(n1+n3,2)*Q(n4+n5,2) | |
3131 | + Q(n1,1)*Q(n2+n3,2)*Q(n4+n5,2)-2.*Q(n1+n2+n3,3)*Q(n4+n5,2) | |
3132 | + 2.*Q(n2,1)*Q(n3,1)*Q(n1+n4+n5,3)-2.*Q(n2+n3,2)*Q(n1+n4+n5,3) | |
3133 | + 2.*Q(n1,1)*Q(n3,1)*Q(n2+n4+n5,3)-2.*Q(n1+n3,2)*Q(n2+n4+n5,3) | |
3134 | - 6.*Q(n3,1)*Q(n1+n2+n4+n5,4)+2.*Q(n1,1)*Q(n2,1)*Q(n3+n4+n5,3) | |
3135 | - 2.*Q(n1+n2,2)*Q(n3+n4+n5,3)-6.*Q(n2,1)*Q(n1+n3+n4+n5,4) | |
3136 | - 6.*Q(n1,1)*Q(n2+n3+n4+n5,4)+24.*Q(n1+n2+n3+n4+n5,5); | |
3137 | ||
3138 | return five; | |
3139 | ||
3140 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::Five(Int_t n1, Int_t n2, Int_t n3, Int_t n4, Int_t n5) | |
3141 | ||
3142 | //======================================================================================================================= | |
3143 | ||
3144 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::Six(Int_t n1, Int_t n2, Int_t n3, Int_t n4, Int_t n5, Int_t n6) | |
3145 | { | |
3146 | // Generic six-particle correlation <exp[i(n1*phi1+n2*phi2+n3*phi3+n4*phi4+n5*phi5+n6*phi6)]>. | |
3147 | ||
3148 | TComplex six = Q(n1,1)*Q(n2,1)*Q(n3,1)*Q(n4,1)*Q(n5,1)*Q(n6,1)-Q(n1+n2,2)*Q(n3,1)*Q(n4,1)*Q(n5,1)*Q(n6,1) | |
3149 | - Q(n2,1)*Q(n1+n3,2)*Q(n4,1)*Q(n5,1)*Q(n6,1)-Q(n1,1)*Q(n2+n3,2)*Q(n4,1)*Q(n5,1)*Q(n6,1) | |
3150 | + 2.*Q(n1+n2+n3,3)*Q(n4,1)*Q(n5,1)*Q(n6,1)-Q(n2,1)*Q(n3,1)*Q(n1+n4,2)*Q(n5,1)*Q(n6,1) | |
3151 | + Q(n2+n3,2)*Q(n1+n4,2)*Q(n5,1)*Q(n6,1)-Q(n1,1)*Q(n3,1)*Q(n2+n4,2)*Q(n5,1)*Q(n6,1) | |
3152 | + Q(n1+n3,2)*Q(n2+n4,2)*Q(n5,1)*Q(n6,1)+2.*Q(n3,1)*Q(n1+n2+n4,3)*Q(n5,1)*Q(n6,1) | |
3153 | - Q(n1,1)*Q(n2,1)*Q(n3+n4,2)*Q(n5,1)*Q(n6,1)+Q(n1+n2,2)*Q(n3+n4,2)*Q(n5,1)*Q(n6,1) | |
3154 | + 2.*Q(n2,1)*Q(n1+n3+n4,3)*Q(n5,1)*Q(n6,1)+2.*Q(n1,1)*Q(n2+n3+n4,3)*Q(n5,1)*Q(n6,1) | |
3155 | - 6.*Q(n1+n2+n3+n4,4)*Q(n5,1)*Q(n6,1)-Q(n2,1)*Q(n3,1)*Q(n4,1)*Q(n1+n5,2)*Q(n6,1) | |
3156 | + Q(n2+n3,2)*Q(n4,1)*Q(n1+n5,2)*Q(n6,1)+Q(n3,1)*Q(n2+n4,2)*Q(n1+n5,2)*Q(n6,1) | |
3157 | + Q(n2,1)*Q(n3+n4,2)*Q(n1+n5,2)*Q(n6,1)-2.*Q(n2+n3+n4,3)*Q(n1+n5,2)*Q(n6,1) | |
3158 | - Q(n1,1)*Q(n3,1)*Q(n4,1)*Q(n2+n5,2)*Q(n6,1)+Q(n1+n3,2)*Q(n4,1)*Q(n2+n5,2)*Q(n6,1) | |
3159 | + Q(n3,1)*Q(n1+n4,2)*Q(n2+n5,2)*Q(n6,1)+Q(n1,1)*Q(n3+n4,2)*Q(n2+n5,2)*Q(n6,1) | |
3160 | - 2.*Q(n1+n3+n4,3)*Q(n2+n5,2)*Q(n6,1)+2.*Q(n3,1)*Q(n4,1)*Q(n1+n2+n5,3)*Q(n6,1) | |
3161 | - 2.*Q(n3+n4,2)*Q(n1+n2+n5,3)*Q(n6,1)-Q(n1,1)*Q(n2,1)*Q(n4,1)*Q(n3+n5,2)*Q(n6,1) | |
3162 | + Q(n1+n2,2)*Q(n4,1)*Q(n3+n5,2)*Q(n6,1)+Q(n2,1)*Q(n1+n4,2)*Q(n3+n5,2)*Q(n6,1) | |
3163 | + Q(n1,1)*Q(n2+n4,2)*Q(n3+n5,2)*Q(n6,1)-2.*Q(n1+n2+n4,3)*Q(n3+n5,2)*Q(n6,1) | |
3164 | + 2.*Q(n2,1)*Q(n4,1)*Q(n1+n3+n5,3)*Q(n6,1)-2.*Q(n2+n4,2)*Q(n1+n3+n5,3)*Q(n6,1) | |
3165 | + 2.*Q(n1,1)*Q(n4,1)*Q(n2+n3+n5,3)*Q(n6,1)-2.*Q(n1+n4,2)*Q(n2+n3+n5,3)*Q(n6,1) | |
3166 | - 6.*Q(n4,1)*Q(n1+n2+n3+n5,4)*Q(n6,1)-Q(n1,1)*Q(n2,1)*Q(n3,1)*Q(n4+n5,2)*Q(n6,1) | |
3167 | + Q(n1+n2,2)*Q(n3,1)*Q(n4+n5,2)*Q(n6,1)+Q(n2,1)*Q(n1+n3,2)*Q(n4+n5,2)*Q(n6,1) | |
3168 | + Q(n1,1)*Q(n2+n3,2)*Q(n4+n5,2)*Q(n6,1)-2.*Q(n1+n2+n3,3)*Q(n4+n5,2)*Q(n6,1) | |
3169 | + 2.*Q(n2,1)*Q(n3,1)*Q(n1+n4+n5,3)*Q(n6,1)-2.*Q(n2+n3,2)*Q(n1+n4+n5,3)*Q(n6,1) | |
3170 | + 2.*Q(n1,1)*Q(n3,1)*Q(n2+n4+n5,3)*Q(n6,1)-2.*Q(n1+n3,2)*Q(n2+n4+n5,3)*Q(n6,1) | |
3171 | - 6.*Q(n3,1)*Q(n1+n2+n4+n5,4)*Q(n6,1)+2.*Q(n1,1)*Q(n2,1)*Q(n3+n4+n5,3)*Q(n6,1) | |
3172 | - 2.*Q(n1+n2,2)*Q(n3+n4+n5,3)*Q(n6,1)-6.*Q(n2,1)*Q(n1+n3+n4+n5,4)*Q(n6,1) | |
3173 | - 6.*Q(n1,1)*Q(n2+n3+n4+n5,4)*Q(n6,1)+24.*Q(n1+n2+n3+n4+n5,5)*Q(n6,1) | |
3174 | - Q(n2,1)*Q(n3,1)*Q(n4,1)*Q(n5,1)*Q(n1+n6,2)+Q(n2+n3,2)*Q(n4,1)*Q(n5,1)*Q(n1+n6,2) | |
3175 | + Q(n3,1)*Q(n2+n4,2)*Q(n5,1)*Q(n1+n6,2)+Q(n2,1)*Q(n3+n4,2)*Q(n5,1)*Q(n1+n6,2) | |
3176 | - 2.*Q(n2+n3+n4,3)*Q(n5,1)*Q(n1+n6,2)+Q(n3,1)*Q(n4,1)*Q(n2+n5,2)*Q(n1+n6,2) | |
3177 | - Q(n3+n4,2)*Q(n2+n5,2)*Q(n1+n6,2)+Q(n2,1)*Q(n4,1)*Q(n3+n5,2)*Q(n1+n6,2) | |
3178 | - Q(n2+n4,2)*Q(n3+n5,2)*Q(n1+n6,2)-2.*Q(n4,1)*Q(n2+n3+n5,3)*Q(n1+n6,2) | |
3179 | + Q(n2,1)*Q(n3,1)*Q(n4+n5,2)*Q(n1+n6,2)-Q(n2+n3,2)*Q(n4+n5,2)*Q(n1+n6,2) | |
3180 | - 2.*Q(n3,1)*Q(n2+n4+n5,3)*Q(n1+n6,2)-2.*Q(n2,1)*Q(n3+n4+n5,3)*Q(n1+n6,2) | |
3181 | + 6.*Q(n2+n3+n4+n5,4)*Q(n1+n6,2)-Q(n1,1)*Q(n3,1)*Q(n4,1)*Q(n5,1)*Q(n2+n6,2) | |
3182 | + Q(n1+n3,2)*Q(n4,1)*Q(n5,1)*Q(n2+n6,2)+Q(n3,1)*Q(n1+n4,2)*Q(n5,1)*Q(n2+n6,2) | |
3183 | + Q(n1,1)*Q(n3+n4,2)*Q(n5,1)*Q(n2+n6,2)-2.*Q(n1+n3+n4,3)*Q(n5,1)*Q(n2+n6,2) | |
3184 | + Q(n3,1)*Q(n4,1)*Q(n1+n5,2)*Q(n2+n6,2)-Q(n3+n4,2)*Q(n1+n5,2)*Q(n2+n6,2) | |
3185 | + Q(n1,1)*Q(n4,1)*Q(n3+n5,2)*Q(n2+n6,2)-Q(n1+n4,2)*Q(n3+n5,2)*Q(n2+n6,2) | |
3186 | - 2.*Q(n4,1)*Q(n1+n3+n5,3)*Q(n2+n6,2)+Q(n1,1)*Q(n3,1)*Q(n4+n5,2)*Q(n2+n6,2) | |
3187 | - Q(n1+n3,2)*Q(n4+n5,2)*Q(n2+n6,2)-2.*Q(n3,1)*Q(n1+n4+n5,3)*Q(n2+n6,2) | |
3188 | - 2.*Q(n1,1)*Q(n3+n4+n5,3)*Q(n2+n6,2)+6.*Q(n1+n3+n4+n5,4)*Q(n2+n6,2) | |
3189 | + 2.*Q(n3,1)*Q(n4,1)*Q(n5,1)*Q(n1+n2+n6,3)-2.*Q(n3+n4,2)*Q(n5,1)*Q(n1+n2+n6,3) | |
3190 | - 2.*Q(n4,1)*Q(n3+n5,2)*Q(n1+n2+n6,3)-2.*Q(n3,1)*Q(n4+n5,2)*Q(n1+n2+n6,3) | |
3191 | + 4.*Q(n3+n4+n5,3)*Q(n1+n2+n6,3)-Q(n1,1)*Q(n2,1)*Q(n4,1)*Q(n5,1)*Q(n3+n6,2) | |
3192 | + Q(n1+n2,2)*Q(n4,1)*Q(n5,1)*Q(n3+n6,2)+Q(n2,1)*Q(n1+n4,2)*Q(n5,1)*Q(n3+n6,2) | |
3193 | + Q(n1,1)*Q(n2+n4,2)*Q(n5,1)*Q(n3+n6,2)-2.*Q(n1+n2+n4,3)*Q(n5,1)*Q(n3+n6,2) | |
3194 | + Q(n2,1)*Q(n4,1)*Q(n1+n5,2)*Q(n3+n6,2)-Q(n2+n4,2)*Q(n1+n5,2)*Q(n3+n6,2) | |
3195 | + Q(n1,1)*Q(n4,1)*Q(n2+n5,2)*Q(n3+n6,2)-Q(n1+n4,2)*Q(n2+n5,2)*Q(n3+n6,2) | |
3196 | - 2.*Q(n4,1)*Q(n1+n2+n5,3)*Q(n3+n6,2)+Q(n1,1)*Q(n2,1)*Q(n4+n5,2)*Q(n3+n6,2) | |
3197 | - Q(n1+n2,2)*Q(n4+n5,2)*Q(n3+n6,2)-2.*Q(n2,1)*Q(n1+n4+n5,3)*Q(n3+n6,2) | |
3198 | - 2.*Q(n1,1)*Q(n2+n4+n5,3)*Q(n3+n6,2)+6.*Q(n1+n2+n4+n5,4)*Q(n3+n6,2) | |
3199 | + 2.*Q(n2,1)*Q(n4,1)*Q(n5,1)*Q(n1+n3+n6,3)-2.*Q(n2+n4,2)*Q(n5,1)*Q(n1+n3+n6,3) | |
3200 | - 2.*Q(n4,1)*Q(n2+n5,2)*Q(n1+n3+n6,3)-2.*Q(n2,1)*Q(n4+n5,2)*Q(n1+n3+n6,3) | |
3201 | + 4.*Q(n2+n4+n5,3)*Q(n1+n3+n6,3)+2.*Q(n1,1)*Q(n4,1)*Q(n5,1)*Q(n2+n3+n6,3) | |
3202 | - 2.*Q(n1+n4,2)*Q(n5,1)*Q(n2+n3+n6,3)-2.*Q(n4,1)*Q(n1+n5,2)*Q(n2+n3+n6,3) | |
3203 | - 2.*Q(n1,1)*Q(n4+n5,2)*Q(n2+n3+n6,3)+4.*Q(n1+n4+n5,3)*Q(n2+n3+n6,3) | |
3204 | - 6.*Q(n4,1)*Q(n5,1)*Q(n1+n2+n3+n6,4)+6.*Q(n4+n5,2)*Q(n1+n2+n3+n6,4) | |
3205 | - Q(n1,1)*Q(n2,1)*Q(n3,1)*Q(n5,1)*Q(n4+n6,2)+Q(n1+n2,2)*Q(n3,1)*Q(n5,1)*Q(n4+n6,2) | |
3206 | + Q(n2,1)*Q(n1+n3,2)*Q(n5,1)*Q(n4+n6,2)+Q(n1,1)*Q(n2+n3,2)*Q(n5,1)*Q(n4+n6,2) | |
3207 | - 2.*Q(n1+n2+n3,3)*Q(n5,1)*Q(n4+n6,2)+Q(n2,1)*Q(n3,1)*Q(n1+n5,2)*Q(n4+n6,2) | |
3208 | - Q(n2+n3,2)*Q(n1+n5,2)*Q(n4+n6,2)+Q(n1,1)*Q(n3,1)*Q(n2+n5,2)*Q(n4+n6,2) | |
3209 | - Q(n1+n3,2)*Q(n2+n5,2)*Q(n4+n6,2)-2.*Q(n3,1)*Q(n1+n2+n5,3)*Q(n4+n6,2) | |
3210 | + Q(n1,1)*Q(n2,1)*Q(n3+n5,2)*Q(n4+n6,2)-Q(n1+n2,2)*Q(n3+n5,2)*Q(n4+n6,2) | |
3211 | - 2.*Q(n2,1)*Q(n1+n3+n5,3)*Q(n4+n6,2)-2.*Q(n1,1)*Q(n2+n3+n5,3)*Q(n4+n6,2) | |
3212 | + 6.*Q(n1+n2+n3+n5,4)*Q(n4+n6,2)+2.*Q(n2,1)*Q(n3,1)*Q(n5,1)*Q(n1+n4+n6,3) | |
3213 | - 2.*Q(n2+n3,2)*Q(n5,1)*Q(n1+n4+n6,3)-2.*Q(n3,1)*Q(n2+n5,2)*Q(n1+n4+n6,3) | |
3214 | - 2.*Q(n2,1)*Q(n3+n5,2)*Q(n1+n4+n6,3)+4.*Q(n2+n3+n5,3)*Q(n1+n4+n6,3) | |
3215 | + 2.*Q(n1,1)*Q(n3,1)*Q(n5,1)*Q(n2+n4+n6,3)-2.*Q(n1+n3,2)*Q(n5,1)*Q(n2+n4+n6,3) | |
3216 | - 2.*Q(n3,1)*Q(n1+n5,2)*Q(n2+n4+n6,3)-2.*Q(n1,1)*Q(n3+n5,2)*Q(n2+n4+n6,3) | |
3217 | + 4.*Q(n1+n3+n5,3)*Q(n2+n4+n6,3)-6.*Q(n3,1)*Q(n5,1)*Q(n1+n2+n4+n6,4) | |
3218 | + 6.*Q(n3+n5,2)*Q(n1+n2+n4+n6,4)+2.*Q(n1,1)*Q(n2,1)*Q(n5,1)*Q(n3+n4+n6,3) | |
3219 | - 2.*Q(n1+n2,2)*Q(n5,1)*Q(n3+n4+n6,3)-2.*Q(n2,1)*Q(n1+n5,2)*Q(n3+n4+n6,3) | |
3220 | - 2.*Q(n1,1)*Q(n2+n5,2)*Q(n3+n4+n6,3)+4.*Q(n1+n2+n5,3)*Q(n3+n4+n6,3) | |
3221 | - 6.*Q(n2,1)*Q(n5,1)*Q(n1+n3+n4+n6,4)+6.*Q(n2+n5,2)*Q(n1+n3+n4+n6,4) | |
3222 | - 6.*Q(n1,1)*Q(n5,1)*Q(n2+n3+n4+n6,4)+6.*Q(n1+n5,2)*Q(n2+n3+n4+n6,4) | |
3223 | + 24.*Q(n5,1)*Q(n1+n2+n3+n4+n6,5)-Q(n1,1)*Q(n2,1)*Q(n3,1)*Q(n4,1)*Q(n5+n6,2) | |
3224 | + Q(n1+n2,2)*Q(n3,1)*Q(n4,1)*Q(n5+n6,2)+Q(n2,1)*Q(n1+n3,2)*Q(n4,1)*Q(n5+n6,2) | |
3225 | + Q(n1,1)*Q(n2+n3,2)*Q(n4,1)*Q(n5+n6,2)-2.*Q(n1+n2+n3,3)*Q(n4,1)*Q(n5+n6,2) | |
3226 | + Q(n2,1)*Q(n3,1)*Q(n1+n4,2)*Q(n5+n6,2)-Q(n2+n3,2)*Q(n1+n4,2)*Q(n5+n6,2) | |
3227 | + Q(n1,1)*Q(n3,1)*Q(n2+n4,2)*Q(n5+n6,2)-Q(n1+n3,2)*Q(n2+n4,2)*Q(n5+n6,2) | |
3228 | - 2.*Q(n3,1)*Q(n1+n2+n4,3)*Q(n5+n6,2)+Q(n1,1)*Q(n2,1)*Q(n3+n4,2)*Q(n5+n6,2) | |
3229 | - Q(n1+n2,2)*Q(n3+n4,2)*Q(n5+n6,2)-2.*Q(n2,1)*Q(n1+n3+n4,3)*Q(n5+n6,2) | |
3230 | - 2.*Q(n1,1)*Q(n2+n3+n4,3)*Q(n5+n6,2)+6.*Q(n1+n2+n3+n4,4)*Q(n5+n6,2) | |
3231 | + 2.*Q(n2,1)*Q(n3,1)*Q(n4,1)*Q(n1+n5+n6,3)-2.*Q(n2+n3,2)*Q(n4,1)*Q(n1+n5+n6,3) | |
3232 | - 2.*Q(n3,1)*Q(n2+n4,2)*Q(n1+n5+n6,3)-2.*Q(n2,1)*Q(n3+n4,2)*Q(n1+n5+n6,3) | |
3233 | + 4.*Q(n2+n3+n4,3)*Q(n1+n5+n6,3)+2.*Q(n1,1)*Q(n3,1)*Q(n4,1)*Q(n2+n5+n6,3) | |
3234 | - 2.*Q(n1+n3,2)*Q(n4,1)*Q(n2+n5+n6,3)-2.*Q(n3,1)*Q(n1+n4,2)*Q(n2+n5+n6,3) | |
3235 | - 2.*Q(n1,1)*Q(n3+n4,2)*Q(n2+n5+n6,3)+4.*Q(n1+n3+n4,3)*Q(n2+n5+n6,3) | |
3236 | - 6.*Q(n3,1)*Q(n4,1)*Q(n1+n2+n5+n6,4)+6.*Q(n3+n4,2)*Q(n1+n2+n5+n6,4) | |
3237 | + 2.*Q(n1,1)*Q(n2,1)*Q(n4,1)*Q(n3+n5+n6,3)-2.*Q(n1+n2,2)*Q(n4,1)*Q(n3+n5+n6,3) | |
3238 | - 2.*Q(n2,1)*Q(n1+n4,2)*Q(n3+n5+n6,3)-2.*Q(n1,1)*Q(n2+n4,2)*Q(n3+n5+n6,3) | |
3239 | + 4.*Q(n1+n2+n4,3)*Q(n3+n5+n6,3)-6.*Q(n2,1)*Q(n4,1)*Q(n1+n3+n5+n6,4) | |
3240 | + 6.*Q(n2+n4,2)*Q(n1+n3+n5+n6,4)-6.*Q(n1,1)*Q(n4,1)*Q(n2+n3+n5+n6,4) | |
3241 | + 6.*Q(n1+n4,2)*Q(n2+n3+n5+n6,4)+24.*Q(n4,1)*Q(n1+n2+n3+n5+n6,5) | |
3242 | + 2.*Q(n1,1)*Q(n2,1)*Q(n3,1)*Q(n4+n5+n6,3)-2.*Q(n1+n2,2)*Q(n3,1)*Q(n4+n5+n6,3) | |
3243 | - 2.*Q(n2,1)*Q(n1+n3,2)*Q(n4+n5+n6,3)-2.*Q(n1,1)*Q(n2+n3,2)*Q(n4+n5+n6,3) | |
3244 | + 4.*Q(n1+n2+n3,3)*Q(n4+n5+n6,3)-6.*Q(n2,1)*Q(n3,1)*Q(n1+n4+n5+n6,4) | |
3245 | + 6.*Q(n2+n3,2)*Q(n1+n4+n5+n6,4)-6.*Q(n1,1)*Q(n3,1)*Q(n2+n4+n5+n6,4) | |
3246 | + 6.*Q(n1+n3,2)*Q(n2+n4+n5+n6,4)+24.*Q(n3,1)*Q(n1+n2+n4+n5+n6,5) | |
3247 | - 6.*Q(n1,1)*Q(n2,1)*Q(n3+n4+n5+n6,4)+6.*Q(n1+n2,2)*Q(n3+n4+n5+n6,4) | |
3248 | + 24.*Q(n2,1)*Q(n1+n3+n4+n5+n6,5)+24.*Q(n1,1)*Q(n2+n3+n4+n5+n6,5) | |
3249 | - 120.*Q(n1+n2+n3+n4+n5+n6,6); | |
3250 | ||
3251 | return six; | |
3252 | ||
3253 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::Six(Int_t n1, Int_t n2, Int_t n3, Int_t n4, Int_t n5, Int_t n6) | |
3254 | ||
3255 | //======================================================================================================================= | |
3256 | ||
3257 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::Seven(Int_t n1, Int_t n2, Int_t n3, Int_t n4, Int_t n5, Int_t n6, Int_t n7) | |
3258 | { | |
3259 | // Generic seven-particle correlation <exp[i(n1*phi1+n2*phi2+n3*phi3+n4*phi4+n5*phi5+n6*phi6+n7*phi7)]>. | |
3260 | ||
3261 | Int_t harmonic[7] = {n1,n2,n3,n4,n5,n6,n7}; | |
3262 | ||
3263 | TComplex seven = Recursion(7,harmonic); | |
3264 | ||
3265 | return seven; | |
3266 | ||
3267 | } // end of TComplex AliFlowAnalysisWithMultiparticleCorrelations::Seven(Int_t n1, Int_t n2, Int_t n3, Int_t n4, Int_t n5, Int_t n6, Int_t n7) | |
3268 | ||
3269 | //======================================================================================================================= | |
3270 | ||
3271 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::Eight(Int_t n1, Int_t n2, Int_t n3, Int_t n4, Int_t n5, Int_t n6, Int_t n7, Int_t n8) | |
3272 | { | |
3273 | // Generic eight-particle correlation <exp[i(n1*phi1+n2*phi2+n3*phi3+n4*phi4+n5*phi5+n6*phi6+n7*phi7+n8*phi8)]>. | |
3274 | ||
3275 | Int_t harmonic[8] = {n1,n2,n3,n4,n5,n6,n7,n8}; | |
3276 | ||
3277 | TComplex eight = Recursion(8,harmonic); | |
3278 | ||
3279 | return eight; | |
3280 | ||
3281 | } // end of TComplex AliFlowAnalysisWithMultiparticleCorrelations::Eight(Int_t n1, Int_t n2, Int_t n3, Int_t n4, Int_t n5, Int_t n6, Int_t n7, Int_t n8) | |
3282 | ||
3283 | //======================================================================================================================= | |
3284 | ||
3285 | void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForWeights() | |
3286 | { | |
3287 | // Book all objects for calculations with weights. | |
3288 | ||
3289 | // a) Book profile to hold all flags for weights; | |
3290 | // b) Store histograms holding phi, pt and eta weights. | |
3291 | ||
3292 | // a) Book profile to hold all flags for weights: | |
3293 | fWeightsFlagsPro = new TProfile("fWeightsFlagsPro","0 = weight not used, 1 = weight used ",6,0,6); | |
3294 | fWeightsFlagsPro->SetLabelSize(0.06); | |
3295 | fWeightsFlagsPro->SetStats(kFALSE); | |
3296 | fWeightsFlagsPro->SetFillColor(kGray); | |
3297 | fWeightsFlagsPro->SetLineColor(kBlack); | |
3298 | fWeightsFlagsPro->GetXaxis()->SetBinLabel(1,"RP: w_{#phi}"); fWeightsFlagsPro->Fill(0.5,fUseWeights[0][0]); | |
3299 | fWeightsFlagsPro->GetXaxis()->SetBinLabel(2,"RP: w_{p_{T}}"); fWeightsFlagsPro->Fill(1.5,fUseWeights[0][1]); | |
3300 | fWeightsFlagsPro->GetXaxis()->SetBinLabel(3,"RP: w_{#eta}"); fWeightsFlagsPro->Fill(2.5,fUseWeights[0][2]); | |
3301 | fWeightsFlagsPro->GetXaxis()->SetBinLabel(4,"POI: w_{#phi}"); fWeightsFlagsPro->Fill(3.5,fUseWeights[1][0]); | |
3302 | fWeightsFlagsPro->GetXaxis()->SetBinLabel(5,"POI: w_{p_{T}}"); fWeightsFlagsPro->Fill(4.5,fUseWeights[1][1]); | |
3303 | fWeightsFlagsPro->GetXaxis()->SetBinLabel(6,"POI: w_{#eta}"); fWeightsFlagsPro->Fill(5.5,fUseWeights[1][2]); | |
3304 | fWeightsList->Add(fWeightsFlagsPro); | |
3305 | ||
3306 | // b) Store histograms holding phi, pt and eta weights: | |
3307 | // REMARK: It is assumed that these histos are accessed from external file "weights.root" | |
3308 | for(Int_t rp=0;rp<2;rp++) // [RP,POI] | |
3309 | { | |
3310 | for(Int_t ppe=0;ppe<3;ppe++) // [phi,pt,eta] | |
3311 | { | |
3312 | if(fWeightsHist[rp][ppe]){fWeightsList->Add(fWeightsHist[rp][ppe]);} | |
3313 | } | |
3314 | } | |
3315 | ||
3316 | } // void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForWeights() | |
3317 | ||
3318 | //======================================================================================================================= | |
3319 | ||
3320 | Double_t AliFlowAnalysisWithMultiparticleCorrelations::Weight(const Double_t &value, const char *type, const char *variable) // value, [RP,POI], [phi,pt,eta] | |
3321 | { | |
3322 | // Determine particle weight. | |
3323 | ||
3324 | TString sMethodName = "Double_t AliFlowAnalysisWithMultiparticleCorrelations::Weight(const Double_t &value, const char *type, const char *variable)"; | |
3325 | ||
3326 | // Basic protection: | |
3327 | if(!(TString(type).EqualTo("RP") || TString(type).EqualTo("POI"))){Fatal(sMethodName.Data(),"!(TString(type).EqualTo...");} | |
3328 | if(!(TString(variable).EqualTo("phi") || TString(variable).EqualTo("pt") || TString(variable).EqualTo("eta"))){Fatal(sMethodName.Data(),"!(TString(variable).EqualTo...");} | |
3329 | ||
3330 | Int_t rp = 0; // [RP,POI] | |
3331 | if(TString(type).EqualTo("POI")){rp=1;} | |
3332 | ||
3333 | Int_t ppe = 0; // [phi,pt,eta] | |
3334 | if(TString(variable).EqualTo("pt")){ppe=1;} | |
3335 | if(TString(variable).EqualTo("eta")){ppe=2;} | |
3336 | ||
3337 | if(!fWeightsHist[rp][ppe]){Fatal(sMethodName.Data(),"!fWeightsHist[rp][ppe]");} | |
3338 | ||
3339 | Double_t weight = fWeightsHist[rp][ppe]->GetBinContent(fWeightsHist[rp][ppe]->FindBin(value)); | |
3340 | ||
3341 | return weight; | |
3342 | ||
3343 | } // Double_t AliFlowAnalysisWithMultiparticleCorrelations::Weight(const Double_t &value, const char *type, const char *variable) | |
3344 | ||
3345 | //======================================================================================================================= | |
3346 | ||
3347 | /* | |
3348 | Double_t AliFlowAnalysisWithMultiparticleCorrelations::PhiWeight(const Double_t &dPhi, const char *type) | |
3349 | { | |
3350 | // Determine phi weight for a given phi. | |
3351 | ||
3352 | TString sMethodName = "Double_t AliFlowAnalysisWithMultiparticleCorrelations::PhiWeight(const Double_t &dPhi, const char *type)"; | |
3353 | ||
3354 | // Basic protection: | |
3355 | if(!(TString(type)::EqualTo("RP") || TString(type)::EqualTo("POI"))){Fatal(sMethodName.Data(),"!(TString(type)::EqualTo...");} | |
3356 | ||
3357 | Int_t rp = 0; // RP or POI | |
3358 | if(TString(type)::EqualTo("POI")){rp=1;} | |
3359 | ||
3360 | if(!fWeightsHist[rp][0]){Fatal("AliFlowAnalysisWithMultiparticleCorrelations::PhiWeight(const Double_t &dPhi)","fPhiWeightsHist");} | |
3361 | ||
3362 | ||
3363 | ||
3364 | ||
3365 | ||
3366 | ||
3367 | ||
3368 | ||
3369 | ||
3370 | Double_t wPhi = fPhiWeightsHist->GetBinContent(fPhiWeightsHist->FindBin(dPhi)); | |
3371 | ||
3372 | ||
3373 | wPhi = 0.; | |
3374 | ||
3375 | return wPhi; | |
3376 | ||
3377 | } // Double_t AliFlowAnalysisWithMultiparticleCorrelations::PhiWeight(const Double_t &dPhi) | |
3378 | ||
3379 | //======================================================================================================================= | |
3380 | ||
3381 | Double_t AliFlowAnalysisWithMultiparticleCorrelations::PtWeight(const Double_t &dPt, const char *type) | |
3382 | { | |
3383 | // Determine pt weight for a given pt. | |
3384 | ||
3385 | if(!fPtWeightsHist){Fatal("AliFlowAnalysisWithMultiparticleCorrelations::PtWeight(const Double_t &dPt)","fPtWeightsHist");} | |
3386 | ||
3387 | Double_t wPt = fPtWeightsHist->GetBinContent(fPtWeightsHist->FindBin(dPt)); | |
3388 | ||
3389 | return wPt; | |
3390 | ||
3391 | } // Double_t AliFlowAnalysisWithMultiparticleCorrelations::PtWeight(const Double_t &dPt) | |
3392 | ||
3393 | //======================================================================================================================= | |
3394 | ||
3395 | Double_t AliFlowAnalysisWithMultiparticleCorrelations::EtaWeight(const Double_t &dEta, const char *type) | |
3396 | { | |
3397 | // Determine eta weight for a given eta. | |
3398 | ||
3399 | if(!fEtaWeightsHist){Fatal("AliFlowAnalysisWithMultiparticleCorrelations::EtaWeight(const Double_t &dEta)","fEtaWeightsHist");} | |
3400 | ||
3401 | Double_t wEta = fEtaWeightsHist->GetBinContent(fEtaWeightsHist->FindBin(dEta)); | |
3402 | ||
3403 | return wEta; | |
3404 | ||
3405 | } // Double_t AliFlowAnalysisWithMultiparticleCorrelations::EtaWeight(const Double_t &dEta) | |
3406 | ||
3407 | */ | |
3408 | ||
3409 | ||
3410 | //======================================================================================================================= | |
3411 | ||
3412 | void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForBase() | |
3413 | { | |
3414 | // Book all base objects. | |
3415 | ||
3416 | fInternalFlagsPro = new TProfile("fInternalFlagsPro","Internal flags and settings",4,0,4); | |
3417 | fInternalFlagsPro->SetLabelSize(0.05); | |
3418 | fInternalFlagsPro->SetStats(kFALSE); | |
3419 | fInternalFlagsPro->SetFillColor(kGray); | |
3420 | fInternalFlagsPro->SetLineColor(kBlack); | |
3421 | fInternalFlagsPro->GetXaxis()->SetBinLabel(1,"fUseInternalFlags"); fInternalFlagsPro->Fill(0.5,fUseInternalFlags); | |
3422 | fInternalFlagsPro->GetXaxis()->SetBinLabel(2,"fMinNoRPs"); fInternalFlagsPro->Fill(1.5,fMinNoRPs); | |
3423 | fInternalFlagsPro->GetXaxis()->SetBinLabel(3,"fMaxNoRPs"); fInternalFlagsPro->Fill(2.5,fMaxNoRPs); | |
3424 | fInternalFlagsPro->GetXaxis()->SetBinLabel(4,"fExactNoRPs"); fInternalFlagsPro->Fill(3.5,fExactNoRPs); | |
3425 | fHistList->Add(fInternalFlagsPro); | |
3426 | ||
3427 | } // void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForBase() | |
3428 | ||
3429 | //======================================================================================================================= | |
3430 | ||
3431 | Bool_t AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckInternalFlags(AliFlowEventSimple *anEvent) | |
3432 | { | |
3433 | // Cross-check in this method wether "anEvent" passes internal flags. | |
3434 | ||
3435 | // a) Cross-check min. and max. number of RPs. | |
3436 | // b) Cross-check... | |
3437 | ||
3438 | Bool_t bPassesInternalFlags = kTRUE; | |
3439 | ||
3440 | // a) Cross-check min. and max. number of RPs: | |
3441 | fMinNoRPs <= anEvent->GetNumberOfRPs() && anEvent->GetNumberOfRPs() < fMaxNoRPs ? 1 : bPassesInternalFlags = kFALSE; // TBI can I leave 1 like this? | |
3442 | ||
3443 | // ... | |
3444 | ||
3445 | return bPassesInternalFlags; | |
3446 | ||
3447 | } // Bool_t AliFlowAnalysisWithMultiparticleCorrelations::CrossCheckInternalFlags(AliFlowEventSimple *anEvent) | |
3448 | ||
3449 | //======================================================================================================================= | |
3450 | ||
3451 | void AliFlowAnalysisWithMultiparticleCorrelations::DumpPointsForDurham(TGraphErrors *ge) | |
3452 | { | |
3453 | // Dump points from TGraphErrors object into Durham database format. | |
3454 | ||
3455 | // Remark 1: format is <binCenter> <value> +-<stat.error> | |
3456 | // Remark 2: the default precision is 6 significant digits | |
3457 | ||
3458 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::DumpPointsForDurham(TGraphErrors *ge)"; | |
3459 | ||
3460 | if(!ge){Fatal(sMethodName.Data(),"ge is NULL, for one reason or another...");} | |
3461 | ||
3462 | ge->Draw("ap"); | |
3463 | ||
3464 | Int_t nPoints = ge->GetN(); | |
3465 | Double_t x = 0.; | |
3466 | //Double_t xErr = 0.; | |
3467 | Double_t y = 0.; | |
3468 | Double_t yErr = 0.; | |
3469 | printf("\nbinCenter value +-stat.error\n"); | |
3470 | for(Int_t p=0;p<nPoints;p++) | |
3471 | { | |
3472 | ge->GetPoint(p,x,y); | |
3473 | //xErr = ge->GetErrorX(p); | |
3474 | yErr = ge->GetErrorY(p); | |
3475 | printf("%f %f +-%f\n",x,y,yErr); | |
3476 | } // end of for(Int_t p=0;p<nPoints;p++) | |
3477 | cout<<endl; | |
3478 | ||
3479 | } // void AliFlowAnalysisWithMultiparticleCorrelations::DumpPointsForDurham(TGraphErrors *ge) | |
3480 | ||
3481 | //======================================================================================================================= | |
3482 | ||
3483 | void AliFlowAnalysisWithMultiparticleCorrelations::DumpPointsForDurham(TH1D *h) | |
3484 | { | |
3485 | // Dump points from TH1D object into Durham database format. | |
3486 | ||
3487 | // Remark 1: format is <binCenter> <value> +-<stat.error> | |
3488 | // Remark 2: the default precision is 6 significant digits | |
3489 | ||
3490 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::DumpPointsForDurham(TH1D *h)"; | |
3491 | ||
3492 | if(!h){Fatal(sMethodName.Data(),"h is NULL, for one reason or another...");} | |
3493 | ||
3494 | h->Draw(); | |
3495 | ||
3496 | Int_t nPoints = h->GetXaxis()->GetNbins(); | |
3497 | Double_t x = 0.; | |
3498 | Double_t y = 0.; | |
3499 | Double_t yErr = 0.; | |
3500 | printf("\nbinCenter value +-stat.error\n"); | |
3501 | for(Int_t p=1;p<=nPoints;p++) | |
3502 | { | |
3503 | x = h->GetBinCenter(p); | |
3504 | y = h->GetBinContent(p); | |
3505 | yErr = h->GetBinError(p); | |
3506 | //printf("%f %f +-%f\n",x,y,yErr); _33 | |
3507 | printf("%e %e +-%e\n",x,y,yErr); | |
3508 | } // end of for(Int_t p=0;p<nPoints;p++) | |
3509 | cout<<endl; | |
3510 | ||
3511 | } // void AliFlowAnalysisWithMultiparticleCorrelations::DumpPointsForDurham(TH1D *h) | |
3512 | ||
3513 | //======================================================================================================================= | |
3514 | ||
3515 | void AliFlowAnalysisWithMultiparticleCorrelations::DumpPointsForDurham(TH1F *h) | |
3516 | { | |
3517 | // Dump points from TH1F object into Durham database format. | |
3518 | ||
3519 | // Remark 1: format is <binCenter> <value> +-<stat.error> | |
3520 | // Remark 2: the default precision is 6 significant digits | |
3521 | ||
3522 | TString sMethodName = "AliFlowAnalysisWithMultiparticleCorrelations::DumpPointsForDurham(TH1F *h)"; | |
3523 | ||
3524 | if(!h){Fatal(sMethodName.Data(),"h is NULL, for one reason or another...");} | |
3525 | ||
3526 | h->Draw(); | |
3527 | ||
3528 | Int_t nPoints = h->GetXaxis()->GetNbins(); | |
3529 | Double_t x = 0.; | |
3530 | Double_t y = 0.; | |
3531 | Double_t yErr = 0.; | |
3532 | printf("\nbinCenter value +-stat.error\n"); | |
3533 | for(Int_t p=1;p<=nPoints;p++) | |
3534 | { | |
3535 | x = h->GetBinCenter(p); | |
3536 | y = h->GetBinContent(p); | |
3537 | yErr = h->GetBinError(p); | |
3538 | printf("%f %f +-%f\n",x,y,yErr); | |
3539 | } // end of for(Int_t p=0;p<nPoints;p++) | |
3540 | cout<<endl; | |
3541 | ||
3542 | } // void AliFlowAnalysisWithMultiparticleCorrelations::DumpPointsForDurham(TH1F *h) | |
3543 | ||
3544 | //======================================================================================================================= | |
3545 | ||
3546 | void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForQcumulants() | |
3547 | { | |
3548 | // Initialize all arrays for Q-cumulants. | |
3549 | ||
3550 | // ... TBI | |
3551 | ||
3552 | } // void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForQcumulants() | |
3553 | ||
3554 | //======================================================================================================================= | |
3555 | ||
3556 | void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForQcumulants() | |
3557 | { | |
3558 | // Book all the stuff for Q-cumulants. | |
3559 | ||
3560 | // a) Book the profile holding all the flags for Q-cumulants; | |
3561 | // b) Book TH1D *fQcumulantsHist; | |
3562 | // c) Book TH1D *fReferenceFlowHist; | |
3563 | // d) Book TProfile2D *fProductsQCPro. | |
3564 | ||
3565 | TString sMethodName = "void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForQcumulants()"; | |
3566 | ||
3567 | // a) Book the profile holding all the flags for Q-cumulants: | |
3568 | fQcumulantsFlagsPro = new TProfile("fQcumulantsFlagsPro","Flags for Q-cumulants",3,0,3); | |
3569 | fQcumulantsFlagsPro->SetTickLength(-0.01,"Y"); | |
3570 | fQcumulantsFlagsPro->SetMarkerStyle(25); | |
3571 | fQcumulantsFlagsPro->SetLabelSize(0.03); | |
3572 | fQcumulantsFlagsPro->SetLabelOffset(0.02,"Y"); | |
3573 | fQcumulantsFlagsPro->SetStats(kFALSE); | |
3574 | fQcumulantsFlagsPro->SetFillColor(kGray); | |
3575 | fQcumulantsFlagsPro->SetLineColor(kBlack); | |
3576 | fQcumulantsFlagsPro->GetXaxis()->SetBinLabel(1,"fCalculateQcumulants"); fQcumulantsFlagsPro->Fill(0.5,fCalculateQcumulants); | |
3577 | fQcumulantsFlagsPro->GetXaxis()->SetBinLabel(2,"fHarmonicQC"); fQcumulantsFlagsPro->Fill(1.5,fHarmonicQC); | |
3578 | fQcumulantsFlagsPro->GetXaxis()->SetBinLabel(3,"fPropagateErrorQC"); fQcumulantsFlagsPro->Fill(2.5,fPropagateErrorQC); | |
3579 | fQcumulantsList->Add(fQcumulantsFlagsPro); | |
3580 | ||
3581 | if(!fCalculateQcumulants){return;} // TBI is this safe enough? | |
3582 | ||
3583 | // b) Book TH1D *fQcumulantsHist: | |
3584 | fQcumulantsHist = new TH1D("Q-cumulants",Form("Q-cumulants (n = %d)",fHarmonicQC),4,0.,4.); | |
3585 | fQcumulantsHist->SetStats(kFALSE); | |
3586 | fQcumulantsHist->SetMarkerColor(kBlack); | |
3587 | fQcumulantsHist->SetMarkerStyle(kFullSquare); | |
3588 | fQcumulantsHist->GetXaxis()->SetLabelSize(0.045); | |
3589 | fQcumulantsHist->GetXaxis()->SetLabelOffset(0.01); | |
3590 | for(Int_t qc=1;qc<=4;qc++) // [QC{2},QC{4},QC{6},QC{8}] | |
3591 | { | |
3592 | fQcumulantsHist->GetXaxis()->SetBinLabel(qc,Form("QC{%d}",2*qc)); | |
3593 | } | |
3594 | fQcumulantsList->Add(fQcumulantsHist); | |
3595 | ||
3596 | // c) Book TH1D *fReferenceFlowHist: | |
3597 | fReferenceFlowHist = new TH1D("Reference Flow","Reference flow from Q-cumulants",4,0.,4.); | |
3598 | fReferenceFlowHist->SetStats(kFALSE); | |
3599 | fReferenceFlowHist->SetMarkerColor(kBlack); | |
3600 | fReferenceFlowHist->SetMarkerStyle(kFullSquare); | |
3601 | fReferenceFlowHist->GetXaxis()->SetLabelSize(0.045); | |
3602 | fReferenceFlowHist->GetXaxis()->SetLabelOffset(0.01); | |
3603 | for(Int_t qc=1;qc<=4;qc++) // [vn{2},vn{4},vn{6},vn{8}] | |
3604 | { | |
3605 | fReferenceFlowHist->GetXaxis()->SetBinLabel(qc,Form("v_{%d}{%d}",fHarmonicQC,2*qc)); | |
3606 | } | |
3607 | fQcumulantsList->Add(fReferenceFlowHist); | |
3608 | ||
3609 | if(!fPropagateErrorQC){return;} // TBI is this safe enough? | |
3610 | ||
3611 | // d) Book TProfile2D *fProductsQCPro: | |
3612 | const Int_t nCorrelations = 4; | |
3613 | Int_t n = fHarmonicQC; | |
3614 | TString sCorrelations[nCorrelations] = {Form("Cos(-%d,%d)",n,n), | |
3615 | Form("Cos(-%d,-%d,%d,%d)",n,n,n,n), | |
3616 | Form("Cos(-%d,-%d,-%d,%d,%d,%d)",n,n,n,n,n,n), | |
3617 | Form("Cos(-%d,-%d,-%d,-%d,%d,%d,%d,%d)",n,n,n,n,n,n,n,n)}; | |
3618 | Int_t nBins2D = nCorrelations; | |
3619 | fProductsQCPro = new TProfile2D("fProductsQCPro","Products of correlations",nBins2D,0.,nBins2D,nBins2D,0.,nBins2D); | |
3620 | fProductsQCPro->SetStats(kFALSE); | |
3621 | fProductsQCPro->Sumw2(); | |
3622 | for(Int_t b=1;b<=nBins2D;b++) | |
3623 | { | |
3624 | fProductsQCPro->GetXaxis()->SetBinLabel(b,sCorrelations[b-1].Data()); | |
3625 | fProductsQCPro->GetYaxis()->SetBinLabel(b,sCorrelations[b-1].Data()); | |
3626 | } // for(Int_t b=1;b<=nBins2D;b++) | |
3627 | fQcumulantsList->Add(fProductsQCPro); | |
3628 | ||
3629 | } // end of void AliFlowAnalysisWithMultiparticleCorrelations::BookEverythingForQcumulants() | |
3630 | ||
3631 | //======================================================================================================================= | |
3632 | ||
3633 | void AliFlowAnalysisWithMultiparticleCorrelations::CalculateQcumulants() | |
3634 | { | |
3635 | // Calculate Q-cumulants. | |
3636 | ||
3637 | TString sMethodName = "void AliFlowAnalysisWithMultiparticleCorrelations::CalculateQcumulants()"; | |
3638 | ||
3639 | Int_t n = fHarmonicQC; | |
3640 | fQcumulantsHist->SetTitle(Form("Q-cumulants (n = %d)",n)); | |
3641 | ||
3642 | TString sCorrelations[4] = {Form("Cos(-%d,%d)",n,n), | |
3643 | Form("Cos(-%d,-%d,%d,%d)",n,n,n,n), | |
3644 | Form("Cos(-%d,-%d,-%d,%d,%d,%d)",n,n,n,n,n,n), | |
3645 | Form("Cos(-%d,-%d,-%d,-%d,%d,%d,%d,%d)",n,n,n,n,n,n,n,n)}; | |
3646 | ||
3647 | Int_t nBins[4] = {fCorrelationsPro[0][1]->GetNbinsX(),fCorrelationsPro[0][3]->GetNbinsX(), | |
3648 | fCorrelationsPro[0][5]->GetNbinsX(),fCorrelationsPro[0][7]->GetNbinsX()}; | |
3649 | ||
3650 | Double_t dCorrelation[4] = {0.}; | |
3651 | Double_t dCorrelationErr[4] = {0.}; | |
3652 | ||
3653 | for(Int_t c=0;c<4;c++) // [<<2>>,<<4>>,<<6>>,<<8>>] | |
3654 | { | |
3655 | if(2*(c+1)>fDontGoBeyond){break;} | |
3656 | for(Int_t b=1;b<=nBins[c];b++) | |
3657 | { | |
3658 | if(sCorrelations[c].EqualTo(fCorrelationsPro[0][2*c+1]->GetXaxis()->GetBinLabel(b))) | |
3659 | { | |
3660 | dCorrelation[c] = fCorrelationsPro[0][2*c+1]->GetBinContent(b); | |
3661 | dCorrelationErr[c] = fCorrelationsPro[0][2*c+1]->GetBinError(b); | |
3662 | break; | |
3663 | } | |
3664 | } // for(Int_t b=1;b<=nBins[c];b++) | |
3665 | } // for(Int_t c=0;c<4;c++) // [<<2>>,<<4>>,<<6>>,<<8>>] | |
3666 | ||
3667 | // Correlations: | |
3668 | Double_t two = dCorrelation[0]; // <<2>> | |
3669 | Double_t four = dCorrelation[1]; // <<4>> | |
3670 | Double_t six = dCorrelation[2]; // <<6>> | |
3671 | Double_t eight = dCorrelation[3]; // <<8>> | |
3672 | ||
3673 | // Q-cumulants: | |
3674 | Double_t qc2 = 0.; // QC{2} | |
3675 | Double_t qc4 = 0.; // QC{4} | |
3676 | Double_t qc6 = 0.; // QC{6} | |
3677 | Double_t qc8 = 0.; // QC{8} | |
3678 | if(TMath::Abs(two) > 0. && !(fDontGoBeyond < 2)){qc2 = two;} | |
3679 | if(TMath::Abs(four) > 0. && !(fDontGoBeyond < 4)){qc4 = four-2.*pow(two,2.);} | |
3680 | if(TMath::Abs(six) > 0. && !(fDontGoBeyond < 6)){qc6 = six-9.*two*four+12.*pow(two,3.);} | |
3681 | if(TMath::Abs(eight) > 0. && !(fDontGoBeyond < 8)){qc8 = eight-16.*two*six-18.*pow(four,2.)+144.*pow(two,2.)*four-144.*pow(two,4.);} | |
3682 | ||
3683 | // Store the results for Q-cumulants: | |
3684 | if(TMath::Abs(qc2)>0.) | |
3685 | { | |
3686 | fQcumulantsHist->SetBinContent(1,qc2); | |
3687 | } | |
3688 | if(TMath::Abs(qc4)>0.) | |
3689 | { | |
3690 | fQcumulantsHist->SetBinContent(2,qc4); | |
3691 | } | |
3692 | if(TMath::Abs(qc6)>0.) | |
3693 | { | |
3694 | fQcumulantsHist->SetBinContent(3,qc6); | |
3695 | } | |
3696 | if(TMath::Abs(qc8)>0.) | |
3697 | { | |
3698 | fQcumulantsHist->SetBinContent(4,qc8); | |
3699 | } | |
3700 | ||
3701 | if(!fPropagateErrorQC) | |
3702 | { | |
3703 | fQcumulantsHist->SetBinError(1,0.); | |
3704 | fQcumulantsHist->SetBinError(2,0.); | |
3705 | fQcumulantsHist->SetBinError(3,0.); | |
3706 | fQcumulantsHist->SetBinError(4,0.); | |
3707 | return; | |
3708 | } // if(!fPropagateErrorQC) | |
3709 | ||
3710 | // Statistical errors of average 2-, 4-, 6- and 8-particle azimuthal correlations: | |
3711 | Double_t twoError = dCorrelationErr[0]; // statistical error of <2> | |
3712 | Double_t fourError = dCorrelationErr[1]; // statistical error of <4> | |
3713 | Double_t sixError = dCorrelationErr[2]; // statistical error of <6> | |
3714 | Double_t eightError = dCorrelationErr[3]; // statistical error of <8> | |
3715 | ||
3716 | // Covariances multiplied by a prefactor depending on weights: | |
3717 | Double_t wCov24 = 0.; // Cov(<2>,<4>) * prefactor(w_<2>,w_<4>) | |
3718 | Double_t wCov26 = 0.; // Cov(<2>,<6>) * prefactor(w_<2>,w_<6>) | |
3719 | Double_t wCov28 = 0.; // Cov(<2>,<8>) * prefactor(w_<2>,w_<8>) | |
3720 | Double_t wCov46 = 0.; // Cov(<4>,<6>) * prefactor(w_<4>,w_<6>) | |
3721 | Double_t wCov48 = 0.; // Cov(<4>,<8>) * prefactor(w_<4>,w_<8>) | |
3722 | Double_t wCov68 = 0.; // Cov(<6>,<8>) * prefactor(w_<6>,w_<8>) | |
3723 | if(!(fDontGoBeyond < 4)){wCov24 = Covariance(sCorrelations[0].Data(),sCorrelations[1].Data(),fProductsQCPro);} // Cov(<2>,<4>) * prefactor(w_<2>,w_<4>) | |
3724 | if(!(fDontGoBeyond < 6)){wCov26 = Covariance(sCorrelations[0].Data(),sCorrelations[2].Data(),fProductsQCPro);} // Cov(<2>,<6>) * prefactor(w_<2>,w_<6>) | |
3725 | if(!(fDontGoBeyond < 8)){wCov28 = Covariance(sCorrelations[0].Data(),sCorrelations[3].Data(),fProductsQCPro);} // Cov(<2>,<8>) * prefactor(w_<2>,w_<8>) | |
3726 | if(!(fDontGoBeyond < 6)){wCov46 = Covariance(sCorrelations[1].Data(),sCorrelations[2].Data(),fProductsQCPro);} // Cov(<4>,<6>) * prefactor(w_<4>,w_<6>) | |
3727 | if(!(fDontGoBeyond < 8)){wCov48 = Covariance(sCorrelations[1].Data(),sCorrelations[3].Data(),fProductsQCPro);} // Cov(<4>,<8>) * prefactor(w_<4>,w_<8>) | |
3728 | if(!(fDontGoBeyond < 8)){wCov68 = Covariance(sCorrelations[2].Data(),sCorrelations[3].Data(),fProductsQCPro);} // Cov(<6>,<8>) * prefactor(w_<6>,w_<8>) | |
3729 | ||
3730 | // Statistical errors of Q-cumulants: | |
3731 | Double_t qc2Error = 0.; | |
3732 | Double_t qc4Error = 0.; | |
3733 | Double_t qc6Error = 0.; | |
3734 | Double_t qc8Error = 0.; | |
3735 | // Squared statistical errors of Q-cumulants: | |
3736 | //Double_t qc2ErrorSquared = 0.; | |
3737 | Double_t qc4ErrorSquared = 0.; | |
3738 | Double_t qc6ErrorSquared = 0.; | |
3739 | Double_t qc8ErrorSquared = 0.; | |
3740 | // Statistical error of QC{2}: | |
3741 | if(!(fDontGoBeyond < 2)){qc2Error = twoError;} | |
3742 | // Statistical error of QC{4}: | |
3743 | qc4ErrorSquared = 16.*pow(two,2.)*pow(twoError,2)+pow(fourError,2.) | |
3744 | - 8.*two*wCov24; | |
3745 | if(qc4ErrorSquared > 0. && !(fDontGoBeyond < 4)) | |
3746 | { | |
3747 | qc4Error = pow(qc4ErrorSquared,0.5); | |
3748 | } else{Warning(sMethodName.Data(),"Statistical error of QC{4} is imaginary !!!!");} | |
3749 | ||
3750 | // Statistical error of QC{6}: | |
3751 | qc6ErrorSquared = 81.*pow(4.*pow(two,2.)-four,2.)*pow(twoError,2.) | |
3752 | + 81.*pow(two,2.)*pow(fourError,2.) | |
3753 | + pow(sixError,2.) | |
3754 | - 162.*two*(4.*pow(two,2.)-four)*wCov24 | |
3755 | + 18.*(4.*pow(two,2.)-four)*wCov26 | |
3756 | - 18.*two*wCov46; | |
3757 | if(qc6ErrorSquared > 0. && !(fDontGoBeyond < 6)) | |
3758 | { | |
3759 | qc6Error = pow(qc6ErrorSquared,0.5); | |
3760 | } else{Warning(sMethodName.Data(),"Statistical error of QC{6} is imaginary !!!!");} | |
3761 | ||
3762 | // Statistical error of QC{8}: | |
3763 | qc8ErrorSquared = 256.*pow(36.*pow(two,3.)-18.*four*two+six,2.)*pow(twoError,2.) | |
3764 | + 1296.*pow(4.*pow(two,2.)-four,2.)*pow(fourError,2.) | |
3765 | + 256.*pow(two,2.)*pow(sixError,2.) | |
3766 | + pow(eightError,2.) | |
3767 | - 1152.*(36.*pow(two,3.)-18.*four*two+six)*(4.*pow(two,2.)-four)*wCov24 | |
3768 | + 512.*two*(36.*pow(two,3.)-18.*four*two+six)*wCov26 | |
3769 | - 32.*(36.*pow(two,3.)-18.*four*two+six)*wCov28 | |
3770 | - 1152.*two*(4.*pow(two,2.)-four)*wCov46 | |
3771 | + 72.*(4.*pow(two,2.)-four)*wCov48 | |
3772 | - 32.*two*wCov68; | |
3773 | if(qc8ErrorSquared > 0. && !(fDontGoBeyond < 8)) | |
3774 | { | |
3775 | qc8Error = pow(qc8ErrorSquared,0.5); | |
3776 | } else{Warning(sMethodName.Data(),"Statistical error of QC{8} is imaginary !!!!");} | |
3777 | ||
3778 | // Store the statistical errors for Q-cumulants: | |
3779 | if(TMath::Abs(qc2)>0.) | |
3780 | { | |
3781 | fQcumulantsHist->SetBinError(1,qc2Error); | |
3782 | } | |
3783 | if(TMath::Abs(qc4)>0.) | |
3784 | { | |
3785 | fQcumulantsHist->SetBinError(2,qc4Error); | |
3786 | } | |
3787 | if(TMath::Abs(qc6)>0.) | |
3788 | { | |
3789 | fQcumulantsHist->SetBinError(3,qc6Error); | |
3790 | } | |
3791 | if(TMath::Abs(qc8)>0.) | |
3792 | { | |
3793 | fQcumulantsHist->SetBinError(4,qc8Error); | |
3794 | } | |
3795 | ||
3796 | } // void AliFlowAnalysisWithMultiparticleCorrelations::CalculateQcumulants() | |
3797 | ||
3798 | //======================================================================================================================= | |
3799 | ||
3800 | void AliFlowAnalysisWithMultiparticleCorrelations::CalculateReferenceFlow() | |
3801 | { | |
3802 | // Calculate reference flow from Q-cumulants. | |
3803 | ||
3804 | TString sMethodName = "void AliFlowAnalysisWithMultiparticleCorrelations::CalculateReferenceFlow()"; | |
3805 | ||
3806 | Int_t n = fHarmonicQC; | |
3807 | ||
3808 | // Reference flow estimates: | |
3809 | Double_t v2 = 0.; // v{2} | |
3810 | Double_t v4 = 0.; // v{4} | |
3811 | Double_t v6 = 0.; // v{6} | |
3812 | Double_t v8 = 0.; // v{8} | |
3813 | ||
3814 | // Reference flow's statistical errors: | |
3815 | Double_t v2Error = 0.; // v{2} stat. error | |
3816 | Double_t v4Error = 0.; // v{4} stat. error | |
3817 | Double_t v6Error = 0.; // v{6} stat. error | |
3818 | Double_t v8Error = 0.; // v{8} stat. error | |
3819 | ||
3820 | // Q-cumulants: | |
3821 | Double_t qc2 = fQcumulantsHist->GetBinContent(1); // QC{2} | |
3822 | Double_t qc4 = fQcumulantsHist->GetBinContent(2); // QC{4} | |
3823 | Double_t qc6 = fQcumulantsHist->GetBinContent(3); // QC{6} | |
3824 | Double_t qc8 = fQcumulantsHist->GetBinContent(4); // QC{8} | |
3825 | ||
3826 | // Q-cumulants's statistical errors: | |
3827 | Double_t qc2Error = fQcumulantsHist->GetBinError(1); // QC{2} stat. error | |
3828 | Double_t qc4Error = fQcumulantsHist->GetBinError(2); // QC{4} stat. error | |
3829 | Double_t qc6Error = fQcumulantsHist->GetBinError(3); // QC{6} stat. error | |
3830 | Double_t qc8Error = fQcumulantsHist->GetBinError(4); // QC{8} stat. error | |
3831 | ||
3832 | // Calculate reference flow estimates from Q-cumulants: | |
3833 | if(qc2>=0.){v2 = pow(qc2,0.5);} | |
3834 | if(qc4<=0.){v4 = pow(-1.*qc4,1./4.);} | |
3835 | if(qc6>=0.){v6 = pow((1./4.)*qc6,1./6.);} | |
3836 | if(qc8<=0.){v8 = pow((-1./33.)*qc8,1./8.);} | |
3837 | ||
3838 | // Calculate stat. error for reference flow estimates from stat. error of Q-cumulants: | |
3839 | if(qc2>0. && qc2Error>0.){v2Error = (1./2.)*pow(qc2,-0.5)*qc2Error;} | |
3840 | if(qc4<0. && qc4Error>0.){v4Error = (1./4.)*pow(-qc4,-3./4.)*qc4Error;} | |
3841 | if(qc6>0. && qc6Error>0.){v6Error = (1./6.)*pow(2.,-1./3.)*pow(qc6,-5./6.)*qc6Error;} | |
3842 | if(qc8<0. && qc8Error>0.){v8Error = (1./8.)*pow(33.,-1./8.)*pow(-qc8,-7./8.)*qc8Error;} | |
3843 | ||
3844 | // Print warnings for the 'wrong sign' cumulants: | |
3845 | if(TMath::Abs(v2)<1.e-44){Warning(sMethodName.Data(),"Wrong sign QC{2}, couldn't calculate v{2} !!!!");} | |
3846 | if(TMath::Abs(v4)<1.e-44){Warning(sMethodName.Data(),"Wrong sign QC{4}, couldn't calculate v{4} !!!!");} | |
3847 | if(TMath::Abs(v6)<1.e-44){Warning(sMethodName.Data(),"Wrong sign QC{6}, couldn't calculate v{6} !!!!");} | |
3848 | if(TMath::Abs(v8)<1.e-44){Warning(sMethodName.Data(),"Wrong sign QC{8}, couldn't calculate v{8} !!!!");} | |
3849 | ||
3850 | // Store the results and statistical errors of reference flow estimates: | |
3851 | for(Int_t qc=1;qc<=4;qc++) // [vn{2},vn{4},vn{6},vn{8}] | |
3852 | { | |
3853 | fReferenceFlowHist->GetXaxis()->SetBinLabel(qc,Form("v_{%d}{%d}",n,2*qc)); | |
3854 | } | |
3855 | fReferenceFlowHist->SetBinContent(1,v2); | |
3856 | fReferenceFlowHist->SetBinError(1,v2Error); | |
3857 | fReferenceFlowHist->SetBinContent(2,v4); | |
3858 | fReferenceFlowHist->SetBinError(2,v4Error); | |
3859 | fReferenceFlowHist->SetBinContent(3,v6); | |
3860 | fReferenceFlowHist->SetBinError(3,v6Error); | |
3861 | fReferenceFlowHist->SetBinContent(4,v8); | |
3862 | fReferenceFlowHist->SetBinError(4,v8Error); | |
3863 | ||
3864 | // Final printout: | |
3865 | cout<<endl; | |
3866 | cout<<"*************************************"<<endl; | |
3867 | cout<<"*************************************"<<endl; | |
3868 | cout<<" flow estimates from Q-cumulants"<<endl; | |
3869 | TString sWhichWeights = "no weights"; | |
3870 | if(fUseWeights[0][0]){sWhichWeights = "phi weights";} | |
3871 | else if(fUseWeights[0][1]){sWhichWeights = "pt weights";} | |
3872 | else if(fUseWeights[0][2]){sWhichWeights = "eta weights";} | |
3873 | cout<<Form(" (MPC class, RPs, %s)",sWhichWeights.Data())<<endl; | |
3874 | cout<<endl; | |
3875 | for(Int_t co=0;co<4;co++) // cumulant order | |
3876 | { | |
3877 | cout<<Form(" v_%d{%d} = %.8f +/- %.8f",fHarmonicQC,2*(co+1),fReferenceFlowHist->GetBinContent(co+1),fReferenceFlowHist->GetBinError(co+1))<<endl; | |
3878 | } | |
3879 | cout<<endl; | |
3880 | Int_t nEvts = 0; | |
3881 | Double_t dAvM = 0.; | |
3882 | if(fMultDistributionsHist[0]) | |
3883 | { | |
3884 | nEvts = (Int_t)fMultDistributionsHist[0]->GetEntries(); | |
3885 | dAvM = fMultDistributionsHist[0]->GetMean(); | |
3886 | } else{Warning(sMethodName.Data(),"fMultDistributionsHist[0] is NULL !!!!");} | |
3887 | cout<<Form(" nEvts = %d, <M> = %.2f",nEvts,dAvM)<<endl; | |
3888 | cout<<"*************************************"<<endl; | |
3889 | cout<<"*************************************"<<endl; | |
3890 | cout<<endl; | |
3891 | ||
3892 | } // void AliFlowAnalysisWithMultiparticleCorrelations::CalculateReferenceFlow() | |
3893 | ||
3894 | //======================================================================================================================= | |
3895 | ||
3896 | Double_t AliFlowAnalysisWithMultiparticleCorrelations::Covariance(const char *x, const char *y, TProfile2D *profile2D, Bool_t bUnbiasedEstimator) | |
3897 | { | |
3898 | // Calculate covariance (multiplied by a weight dependent factor). | |
3899 | ||
3900 | // Remark: wCov = Cov(<x>,<y>) * (sum_{i=1}^{N} w_{<x>}_i w_{<y>}_i )/[(sum_{i=1}^{N} w_{<x>}_i) * (sum_{j=1}^{N} w_{<y>}_j)], | |
3901 | // where Cov(<x>,<y>) is biased or unbiased estimator (specified via bUnbiasedEstimator) for the covariance. | |
3902 | // An unbiased estimator is given for instance in Eq. (C.12) on page 131 of my thesis. | |
3903 | ||
3904 | Double_t wCov = 0.; // return value | |
3905 | ||
3906 | TString sMethodName = "void AliFlowAnalysisWithMultiparticleCorrelations::Covariance(const char *x, const char *y, TProfile2D *profile2D, Bool_t bBiasedEstimator)"; | |
3907 | if(!profile2D){Fatal(sMethodName.Data(),"Sorry, 'profile2D' is on holidays.");} | |
3908 | ||
3909 | // Basic protection: | |
3910 | if(!(TString(x).BeginsWith("Cos") || TString(x).BeginsWith("Sin"))) | |
3911 | { | |
3912 | cout<<Form("And the fatal x is... '%s'. Congratulations!!",x)<<endl; | |
3913 | Fatal(sMethodName.Data(),"!(TString(x).BeginsWith(..."); | |
3914 | } | |
3915 | if(!(TString(y).BeginsWith("Cos") || TString(y).BeginsWith("Sin"))) | |
3916 | { | |
3917 | cout<<Form("And the fatal y is... '%s'. Congratulations!!",y)<<endl; | |
3918 | Fatal(sMethodName.Data(),"!(TString(y).BeginsWith(..."); | |
3919 | } | |
3920 | ||
3921 | // Determine 'cs' (cosine or sinus) indices for x and y: | |
3922 | Int_t csx = 0; if(TString(x).BeginsWith("Sin")){csx = 1;} | |
3923 | Int_t csy = 0; if(TString(y).BeginsWith("Sin")){csy = 1;} | |
3924 | ||
3925 | // Determine 'c' (order of correlator) indices for x and y: | |
3926 | Int_t cx = -1; | |
3927 | for(Int_t t=0;t<=TString(x).Length();t++) | |
3928 | { | |
3929 | if(TString(x[t]).EqualTo(",") || TString(x[t]).EqualTo(")")) // TBI this is just ugly | |
3930 | { | |
3931 | cx++; | |
3932 | if(cx>=8){Fatal(sMethodName.Data(),"cx>=8");} // not supporting corr. beyond 8p | |
3933 | } // if(TString(x[t]).EqualTo(",") || TString(x[t]).EqualTo(")")) // TBI this is just ugly | |
3934 | } // for(Int_t t=0;t<=TString(x).Length();t++) | |
3935 | Int_t cy = -1; | |
3936 | for(Int_t t=0;t<=TString(y).Length();t++) | |
3937 | { | |
3938 | if(TString(y[t]).EqualTo(",") || TString(y[t]).EqualTo(")")) // TBI this is just ugly | |
3939 | { | |
3940 | cy++; | |
3941 | if(cy>=8){Fatal(sMethodName.Data(),"cy>=8");} // not supporting corr. beyond 8p | |
3942 | } // if(TString(y[t]).EqualTo(",") || TString(y[t]).EqualTo(")")) // TBI this is just ugly | |
3943 | } // for(Int_t t=0;t<=TString(y).Length();t++) | |
3944 | ||
3945 | // Correlations corresponding to x and y: | |
3946 | // x: | |
3947 | Double_t dx = 0.; // <<x>> | |
3948 | Double_t wx = 0.; // \sum w_x | |
3949 | Int_t nbx = fCorrelationsPro[csx][cx]->GetNbinsX(); | |
3950 | for(Int_t b=1;b<=nbx;b++) | |
3951 | { | |
3952 | TString sBinLabel = fCorrelationsPro[csx][cx]->GetXaxis()->GetBinLabel(b); | |
3953 | if(sBinLabel.EqualTo(x)) | |
3954 | { | |
3955 | //cout<<Form("b = %d, binLabel = %s",b,sBinLabel.Data())<<endl; | |
3956 | dx = fCorrelationsPro[csx][cx]->GetBinContent(b); | |
3957 | wx = fCorrelationsPro[csx][cx]->GetBinEntries(b); | |
3958 | break; | |
3959 | } // if(sBinLabel.EqualTo(x)) | |
3960 | if(sBinLabel.EqualTo("")){break;} | |
3961 | } // for(Int_t b=1;b<=nbx;b++) | |
3962 | if(TMath::Abs(dx)<1.e-44){Fatal(sMethodName.Data(),"TMath::Abs(dx)<1.e-44, %s",x);} | |
3963 | if(TMath::Abs(wx)<1.e-44){Fatal(sMethodName.Data(),"TMath::Abs(wx)<1.e-44, %s",x);} | |
3964 | ||
3965 | // y: | |
3966 | Double_t dy = 0.; // <<y>> | |
3967 | Double_t wy = 0.; // \sum w_y | |
3968 | Int_t nby = fCorrelationsPro[csy][cy]->GetNbinsX(); | |
3969 | for(Int_t b=1;b<=nby;b++) | |
3970 | { | |
3971 | TString sBinLabel = fCorrelationsPro[csy][cy]->GetXaxis()->GetBinLabel(b); | |
3972 | if(sBinLabel.EqualTo(y)) | |
3973 | { | |
3974 | //cout<<Form("b = %d, binLabel = %s",b,sBinLabel.Data())<<endl; | |
3975 | dy = fCorrelationsPro[csy][cy]->GetBinContent(b); | |
3976 | wy = fCorrelationsPro[csy][cy]->GetBinEntries(b); | |
3977 | break; | |
3978 | } // if(sBinLabel.EqualTo(y)) | |
3979 | if(sBinLabel.EqualTo("")){break;} | |
3980 | } // for(Int_t b=1;b<=nby;b++) | |
3981 | if(TMath::Abs(dy)<1.e-44){Fatal(sMethodName.Data(),"TMath::Abs(dy)<1.e-44, %s",y);} | |
3982 | if(TMath::Abs(wy)<1.e-44){Fatal(sMethodName.Data(),"TMath::Abs(wy)<1.e-44, %s",y);} | |
3983 | ||
3984 | // Product: | |
3985 | Double_t dxy = 0.; // <<xy>> | |
3986 | Double_t wxy = 0.; // \sum w_x*w_y | |
3987 | // x: | |
3988 | Int_t nBinsX = profile2D->GetNbinsX(); | |
3989 | Int_t gbx = 0; // generic bin for x | |
3990 | for(Int_t b=1;b<=nBinsX;b++) | |
3991 | { | |
3992 | TString sBinLabel = profile2D->GetXaxis()->GetBinLabel(b); | |
3993 | if(sBinLabel.EqualTo(x)) | |
3994 | { | |
3995 | gbx = b; break; | |
3996 | } | |
3997 | } // for(Int_t b=1;b<=nBins2D;b++) | |
3998 | if(0==gbx){Fatal(sMethodName.Data(),"0==gbx, %s",x);} | |
3999 | // y: | |
4000 | Int_t nBinsY = profile2D->GetNbinsY(); | |
4001 | Int_t gby = 0; // generic bin for y | |
4002 | for(Int_t b=1;b<=nBinsY;b++) | |
4003 | { | |
4004 | TString sBinLabel = profile2D->GetYaxis()->GetBinLabel(b); | |
4005 | if(sBinLabel.EqualTo(y)) | |
4006 | { | |
4007 | gby = b; break; | |
4008 | } | |
4009 | } // for(Int_t b=1;b<=nBinsY;b++) | |
4010 | if(0==gby){Fatal(sMethodName.Data(),"0==gby, %s",y);} | |
4011 | ||
4012 | if(gbx>gby) | |
4013 | { | |
4014 | dxy = profile2D->GetBinContent(profile2D->GetBin(gbx,gby)); | |
4015 | wxy = profile2D->GetBinEntries(profile2D->GetBin(gbx,gby)); | |
4016 | } | |
4017 | else if(gbx<gby) | |
4018 | { | |
4019 | dxy = profile2D->GetBinContent(profile2D->GetBin(gby,gbx)); | |
4020 | wxy = profile2D->GetBinEntries(profile2D->GetBin(gby,gbx)); | |
4021 | } else{Fatal(sMethodName.Data(),"gbx==gby, %s, %s",x,y);} | |
4022 | if(TMath::Abs(dxy)<1.e-44){Fatal(sMethodName.Data(),"TMath::Abs(dxy)<1.e-44, %s, %s",x,y);} | |
4023 | if(TMath::Abs(wxy)<1.e-44){Fatal(sMethodName.Data(),"TMath::Abs(wxy)<1.e-44, %s, %s",x,y);} | |
4024 | ||
4025 | // Finally: | |
4026 | if(bUnbiasedEstimator) | |
4027 | { | |
4028 | Double_t num = dxy-dx*dy; // numerator of Eq. (C.12) on page 131 of my thesis | |
4029 | Double_t den = 1.-wxy/(wx*wy); // denominator of Eq. (C.12) on page 131 of my thesis | |
4030 | Double_t pre = wxy/(wx*wy); // prefactor | |
4031 | if(TMath::Abs(den)<1.e-44){Fatal(sMethodName.Data(),"TMath::Abs(den)<1.e-44, %s, %s",x,y);} | |
4032 | wCov = pre*num/den; | |
4033 | if(TMath::Abs(wCov)<1.e-44){Fatal(sMethodName.Data(),"TMath::Abs(wCov)<1.e-44, %s, %s",x,y);} | |
4034 | } else | |
4035 | { | |
4036 | // TBI check if this is a correct formula for the biased estimator | |
4037 | Double_t num = dxy-dx*dy; // numerator of Eq. (C.12) on page 131 of my thesis | |
4038 | Double_t den = 1.; | |
4039 | Double_t pre = wxy/(wx*wy); // prefactor | |
4040 | if(TMath::Abs(den)<1.e-44){Fatal(sMethodName.Data(),"TMath::Abs(den)<1.e-44, %s, %s",x,y);} | |
4041 | wCov = pre*num/den; | |
4042 | if(TMath::Abs(wCov)<1.e-44){Fatal(sMethodName.Data(),"TMath::Abs(wCov)<1.e-44, %s, %s",x,y);} | |
4043 | } | |
4044 | ||
4045 | return wCov; | |
4046 | ||
4047 | } // Double_t AliFlowAnalysisWithMultiparticleCorrelationsCovariance(const char *x, const char *y, TProfile2D *profile2D, Bool_t bUnbiasedEstimator = kFALSE) | |
4048 | ||
4049 | //======================================================================================================================= | |
4050 | ||
4051 | /* | |
4052 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::Recursion(Int_t n, Int_t* harmonic, Int_t* mult) | |
4053 | { | |
4054 | // Calculate multi-particle correlators by using recursion originally developed by | |
4055 | // Kristjan Gulbrandsen (gulbrand@nbi.dk). | |
4056 | ||
4057 | TComplex c = Q(harmonic[n-1], mult[n-1]); | |
4058 | if (n == 1) return c; | |
4059 | c *= Recursion(n-1, harmonic, mult); | |
4060 | if (mult[n-1]>1) return c; | |
4061 | for (Int_t i=0; i<(n-1); i++) { | |
4062 | harmonic[i] += harmonic[n-1]; | |
4063 | mult[i]++; | |
4064 | c -= (mult[i]-1.)*Recursion(n-1, harmonic, mult); | |
4065 | mult[i]--; | |
4066 | harmonic[i] -= harmonic[n-1]; | |
4067 | } | |
4068 | ||
4069 | return c; | |
4070 | ||
4071 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::Recursion(Int_t n, Int_t* harmonic, Int_t* mult) | |
4072 | */ | |
4073 | ||
4074 | //======================================================================================================================= | |
4075 | ||
4076 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::Recursion(Int_t n, Int_t* harmonic, Int_t mult, Int_t skip) | |
4077 | { | |
4078 | // Calculate multi-particle correlators by using recursion (an improved faster version) originally developed by | |
4079 | // Kristjan Gulbrandsen (gulbrand@nbi.dk). | |
4080 | ||
4081 | Int_t nm1 = n-1; | |
4082 | TComplex c(Q(harmonic[nm1], mult)); | |
4083 | if (nm1 == 0) return c; | |
4084 | c *= Recursion(nm1, harmonic); | |
4085 | if (nm1 == skip) return c; | |
4086 | ||
4087 | Int_t multp1 = mult+1; | |
4088 | Int_t nm2 = n-2; | |
4089 | Int_t counter1 = 0; | |
4090 | Int_t hhold = harmonic[counter1]; | |
4091 | harmonic[counter1] = harmonic[nm2]; | |
4092 | harmonic[nm2] = hhold + harmonic[nm1]; | |
4093 | TComplex c2(Recursion(nm1, harmonic, multp1, nm2)); | |
4094 | Int_t counter2 = n-3; | |
4095 | while (counter2 >= skip) { | |
4096 | harmonic[nm2] = harmonic[counter1]; | |
4097 | harmonic[counter1] = hhold; | |
4098 | ++counter1; | |
4099 | hhold = harmonic[counter1]; | |
4100 | harmonic[counter1] = harmonic[nm2]; | |
4101 | harmonic[nm2] = hhold + harmonic[nm1]; | |
4102 | c2 += Recursion(nm1, harmonic, multp1, counter2); | |
4103 | --counter2; | |
4104 | } | |
4105 | harmonic[nm2] = harmonic[counter1]; | |
4106 | harmonic[counter1] = hhold; | |
4107 | ||
4108 | if (mult == 1) return c-c2; | |
4109 | return c-Double_t(mult)*c2; | |
4110 | ||
4111 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::Recursion(Int_t n, Int_t* harmonic, Int_t mult, Int_t skip) | |
4112 | ||
4113 | //======================================================================================================================= | |
4114 | ||
4115 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::OneDiff(Int_t n1) | |
4116 | { | |
4117 | // Generic differential one-particle correlation <exp[i(n1*psi1)]>. | |
4118 | // (psi labels POI, phi labels RPs) | |
4119 | ||
4120 | TComplex one = p(n1,1); | |
4121 | ||
4122 | return one; | |
4123 | ||
4124 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::OneDiff(Int_t n1) | |
4125 | ||
4126 | //======================================================================================================================= | |
4127 | ||
4128 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::TwoDiff(Int_t n1, Int_t n2) | |
4129 | { | |
4130 | // Generic differential two-particle correlation <exp[i(n1*psi1+n2*phi2)]>. | |
4131 | // (psi labels POI, phi labels RPs) | |
4132 | ||
4133 | TComplex two = p(n1,1)*Q(n2,1)-q(n1+n2,2); | |
4134 | ||
4135 | return two; | |
4136 | ||
4137 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::TwoDiff(Int_t n1, Int_t n2) | |
4138 | ||
4139 | //======================================================================================================================= | |
4140 | ||
4141 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::ThreeDiff(Int_t n1, Int_t n2, Int_t n3) | |
4142 | { | |
4143 | // Generic differential three-particle correlation <exp[i(n1*psi1+n2*phi2+n3*phi3)]>. | |
4144 | // (psi labels POI, phi labels RPs) | |
4145 | ||
4146 | TComplex three = p(n1,1)*Q(n2,1)*Q(n3,1)-q(n1+n2,2)*Q(n3,1)-q(n1+n3,2)*Q(n2,1) | |
4147 | - p(n1,1)*Q(n2+n3,2)+2.*q(n1+n2+n3,3); | |
4148 | ||
4149 | return three; | |
4150 | ||
4151 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::ThreeDiff(Int_t n1, Int_t n2, Int_t n3) | |
4152 | ||
4153 | //======================================================================================================================= | |
4154 | ||
4155 | TComplex AliFlowAnalysisWithMultiparticleCorrelations::FourDiff(Int_t n1, Int_t n2, Int_t n3, Int_t n4) | |
4156 | { | |
4157 | // Generic differential four-particle correlation <exp[i(n1*psi1+n2*phi2+n3*phi3+n4*phi4)]>. | |
4158 | // (psi labels POI, phi labels RPs) | |
4159 | ||
4160 | TComplex four = p(n1,1)*Q(n2,1)*Q(n3,1)*Q(n4,1)-q(n1+n2,2)*Q(n3,1)*Q(n4,1)-Q(n2,1)*q(n1+n3,2)*Q(n4,1) | |
4161 | - p(n1,1)*Q(n2+n3,2)*Q(n4,1)+2.*q(n1+n2+n3,3)*Q(n4,1)-Q(n2,1)*Q(n3,1)*q(n1+n4,2) | |
4162 | + Q(n2+n3,2)*q(n1+n4,2)-p(n1,1)*Q(n3,1)*Q(n2+n4,2)+q(n1+n3,2)*Q(n2+n4,2) | |
4163 | + 2.*Q(n3,1)*q(n1+n2+n4,3)-p(n1,1)*Q(n2,1)*Q(n3+n4,2)+q(n1+n2,2)*Q(n3+n4,2) | |
4164 | + 2.*Q(n2,1)*q(n1+n3+n4,3)+2.*p(n1,1)*Q(n2+n3+n4,3)-6.*q(n1+n2+n3+n4,4); | |
4165 | ||
4166 | return four; | |
4167 | ||
4168 | } // TComplex AliFlowAnalysisWithMultiparticleCorrelations::FourDiff(Int_t n1, Int_t n2, Int_t n3, Int_t n4) | |
4169 | ||
4170 | //======================================================================================================================= | |
4171 | ||
4172 | void AliFlowAnalysisWithMultiparticleCorrelations::SetDiffHarmonics(Int_t order, Int_t *harmonics) | |
4173 | { | |
4174 | // Set harmonics for all differential correlators. | |
4175 | ||
4176 | TString sMethodName = "void AliFlowAnalysisWithMultiparticleCorrelations::SetDiffHarmonics(Int_t order, Int_t *harmonics)"; | |
4177 | ||
4178 | // Basic protection: | |
4179 | if(order<=0||order>4){Fatal(sMethodName.Data(),"order<=0||order>4");} | |
4180 | if(!harmonics){Fatal(sMethodName.Data(),"!harmonics");} | |
4181 | ||
4182 | for(Int_t o=0;o<order;o++) | |
4183 | { | |
4184 | fDiffHarmonics[order-1][o] = harmonics[o]; | |
4185 | } | |
4186 | ||
4187 | fCalculateDiffCorrelations = kTRUE; | |
4188 | ||
4189 | } // void AliFlowAnalysisWithMultiparticleCorrelations::SetDiffHarmonics(Int_t order, Int_t *harmonics) | |
4190 | ||
4191 | //======================================================================================================================= | |
4192 | ||
4193 | void AliFlowAnalysisWithMultiparticleCorrelations::SetWeightsHist(TH1D* const hist, const char *type, const char *variable) | |
4194 | { | |
4195 | // Pass histogram holding weights from an external file to the corresponding data member. | |
4196 | ||
4197 | TString sMethodName = "void AliFlowAnalysisWithMultiparticleCorrelations::SetWeightsHist(TH1D* const hist, const char *type, const char *variable)"; | |
4198 | ||
4199 | // Basic protection: | |
4200 | if(!hist){Fatal(sMethodName.Data(),"hist");} | |
4201 | if(!(TString(type).EqualTo("RP") || TString(type).EqualTo("POI"))){Fatal(sMethodName.Data(),"!(TString(type).EqualTo... type = %s ",type);} | |
4202 | if(!(TString(variable).EqualTo("phi") || TString(variable).EqualTo("pt") || TString(variable).EqualTo("eta"))){Fatal(sMethodName.Data(),"!(TString(variable).EqualTo... variable = %s ",variable);} | |
4203 | ||
4204 | Int_t rp = 0; // [RP,POI] | |
4205 | if(TString(type).EqualTo("POI")){rp=1;} | |
4206 | ||
4207 | Int_t ppe = 0; // [phi,pt,eta] | |
4208 | if(TString(variable).EqualTo("pt")){ppe=1;} | |
4209 | if(TString(variable).EqualTo("eta")){ppe=2;} | |
4210 | ||
4211 | // Finally: | |
4212 | hist->SetDirectory(0); | |
4213 | fWeightsHist[rp][ppe] = (TH1D*)hist->Clone(); | |
4214 | if(!fWeightsHist[rp][ppe]){Fatal(sMethodName.Data(),"fWeightsHist[%d][%d]",rp,ppe);} | |
4215 | ||
4216 | // Cosmetics: | |
4217 | TString sType[2] = {"RP","POI"}; | |
4218 | TString sVariable[3] = {"phi","pt","eta"}; | |
4219 | fWeightsHist[rp][ppe]->SetName(Form("%s weights (%s)",sVariable[ppe].Data(),sType[rp].Data())); | |
4220 | fWeightsHist[rp][ppe]->SetTitle(Form("%s weights (%s)",sVariable[ppe].Data(),sType[rp].Data())); | |
4221 | ||
4222 | // Flag: | |
4223 | fUseWeights[rp][ppe] = kTRUE; | |
4224 | ||
4225 | } // void AliFlowAnalysisWithMultiparticleCorrelations::SetWeightsHist(TH1D* const hwh, const char *type, const char *variable) | |
4226 | ||
4227 | //======================================================================================================================= | |
4228 | ||
4229 | void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForWeights() | |
4230 | { | |
4231 | // Initialize all arrays for weights. | |
4232 | ||
4233 | for(Int_t rp=0;rp<2;rp++) // [RP,POI] | |
4234 | { | |
4235 | for(Int_t ppe=0;ppe<3;ppe++) // [phi,pt,eta] | |
4236 | { | |
4237 | fUseWeights[rp][ppe] = kFALSE; | |
4238 | fWeightsHist[rp][ppe] = NULL; | |
4239 | } | |
4240 | } | |
4241 | ||
4242 | } // void AliFlowAnalysisWithMultiparticleCorrelations::InitializeArraysForWeights() | |
4243 | ||
4244 | //======================================================================================================================= | |
4245 | ||
4246 | ||
4247 | ||
4248 | ||
4249 |