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d560b581 | 1 | /************************************************************************** |
2 | * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * | |
3 | * * | |
4 | * Author: The ALICE Off-line Project. * | |
5 | * Contributors are mentioned in the code where appropriate. * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
8 | * documentation strictly for non-commercial purposes is hereby granted * | |
9 | * without fee, provided that the above copyright notice appears in all * | |
10 | * copies and that both the copyright notice and this permission notice * | |
11 | * appear in the supporting documentation. The authors make no claims * | |
12 | * about the suitability of this software for any purpose. It is * | |
13 | * provided "as is" without express or implied warranty. * | |
14 | **************************************************************************/ | |
15 | ||
16 | /* $Id$ */ | |
17 | ||
0b75bef2 | 18 | #include "AliESDtrackCuts.h" |
19 | ||
aa93c798 | 20 | #include <AliESDtrack.h> |
21 | #include <AliESD.h> | |
70d782ef | 22 | #include <AliESDEvent.h> |
aa93c798 | 23 | #include <AliLog.h> |
3c4b53f0 | 24 | |
5c495d37 | 25 | #include <TTree.h> |
3c4b53f0 | 26 | #include <TCanvas.h> |
d560b581 | 27 | #include <TDirectory.h> |
aa93c798 | 28 | |
0b75bef2 | 29 | //____________________________________________________________________ |
f58f1a93 | 30 | ClassImp(AliESDtrackCuts) |
0b75bef2 | 31 | |
ebd60d8e | 32 | // Cut names |
ab2c1f0d | 33 | const Char_t* AliESDtrackCuts::fgkCutNames[kNCuts] = { |
ebd60d8e | 34 | "require TPC refit", |
35 | "require ITS refit", | |
36 | "n clusters TPC", | |
37 | "n clusters ITS", | |
38 | "#Chi^{2}/clusters TPC", | |
39 | "#Chi^{2}/clusters ITS", | |
40 | "cov 11", | |
41 | "cov 22", | |
42 | "cov 33", | |
43 | "cov 44", | |
44 | "cov 55", | |
45 | "trk-to-vtx", | |
46 | "trk-to-vtx failed", | |
47 | "kink daughters", | |
ebd60d8e | 48 | "p", |
49 | "p_{T}", | |
50 | "p_{x}", | |
51 | "p_{y}", | |
52 | "p_{z}", | |
53 | "y", | |
54 | "eta" | |
55 | }; | |
56 | ||
0b75bef2 | 57 | //____________________________________________________________________ |
70d782ef | 58 | AliESDtrackCuts::AliESDtrackCuts(const Char_t* name, const Char_t* title) : AliAnalysisCuts(name,title), |
aa617804 | 59 | fCutMinNClusterTPC(0), |
60 | fCutMinNClusterITS(0), | |
61 | fCutMaxChi2PerClusterTPC(0), | |
62 | fCutMaxChi2PerClusterITS(0), | |
63 | fCutMaxC11(0), | |
64 | fCutMaxC22(0), | |
65 | fCutMaxC33(0), | |
66 | fCutMaxC44(0), | |
67 | fCutMaxC55(0), | |
68 | fCutAcceptKinkDaughters(0), | |
69 | fCutRequireTPCRefit(0), | |
70 | fCutRequireITSRefit(0), | |
71 | fCutNsigmaToVertex(0), | |
72 | fCutSigmaToVertexRequired(0), | |
73 | fPMin(0), | |
74 | fPMax(0), | |
75 | fPtMin(0), | |
76 | fPtMax(0), | |
77 | fPxMin(0), | |
78 | fPxMax(0), | |
79 | fPyMin(0), | |
80 | fPyMax(0), | |
81 | fPzMin(0), | |
82 | fPzMax(0), | |
83 | fEtaMin(0), | |
84 | fEtaMax(0), | |
85 | fRapMin(0), | |
86 | fRapMax(0), | |
87 | fHistogramsOn(0), | |
88 | fhCutStatistics(0), | |
89 | fhCutCorrelation(0) | |
ebd60d8e | 90 | { |
91 | // | |
92 | // constructor | |
93 | // | |
94 | ||
95 | Init(); | |
0b75bef2 | 96 | |
97 | //############################################################################## | |
98 | // setting default cuts | |
0b75bef2 | 99 | SetMinNClustersTPC(); |
ebd60d8e | 100 | SetMinNClustersITS(); |
0b75bef2 | 101 | SetMaxChi2PerClusterTPC(); |
102 | SetMaxChi2PerClusterITS(); | |
103 | SetMaxCovDiagonalElements(); | |
104 | SetRequireTPCRefit(); | |
105 | SetRequireITSRefit(); | |
106 | SetAcceptKingDaughters(); | |
107 | SetMinNsigmaToVertex(); | |
108 | SetRequireSigmaToVertex(); | |
109 | SetPRange(); | |
110 | SetPtRange(); | |
111 | SetPxRange(); | |
112 | SetPyRange(); | |
113 | SetPzRange(); | |
114 | SetEtaRange(); | |
115 | SetRapRange(); | |
116 | ||
117 | SetHistogramsOn(); | |
ebd60d8e | 118 | } |
119 | ||
120 | //_____________________________________________________________________________ | |
88ad8b0a | 121 | AliESDtrackCuts::AliESDtrackCuts(const AliESDtrackCuts &c) : AliAnalysisCuts(c), |
aa617804 | 122 | fCutMinNClusterTPC(0), |
123 | fCutMinNClusterITS(0), | |
124 | fCutMaxChi2PerClusterTPC(0), | |
125 | fCutMaxChi2PerClusterITS(0), | |
126 | fCutMaxC11(0), | |
127 | fCutMaxC22(0), | |
128 | fCutMaxC33(0), | |
129 | fCutMaxC44(0), | |
130 | fCutMaxC55(0), | |
131 | fCutAcceptKinkDaughters(0), | |
132 | fCutRequireTPCRefit(0), | |
133 | fCutRequireITSRefit(0), | |
134 | fCutNsigmaToVertex(0), | |
135 | fCutSigmaToVertexRequired(0), | |
136 | fPMin(0), | |
137 | fPMax(0), | |
138 | fPtMin(0), | |
139 | fPtMax(0), | |
140 | fPxMin(0), | |
141 | fPxMax(0), | |
142 | fPyMin(0), | |
143 | fPyMax(0), | |
144 | fPzMin(0), | |
145 | fPzMax(0), | |
146 | fEtaMin(0), | |
147 | fEtaMax(0), | |
148 | fRapMin(0), | |
149 | fRapMax(0), | |
150 | fHistogramsOn(0), | |
129a66bb | 151 | ffDTheoretical(0), |
aa617804 | 152 | fhCutStatistics(0), |
153 | fhCutCorrelation(0) | |
ebd60d8e | 154 | { |
155 | // | |
156 | // copy constructor | |
157 | // | |
158 | ||
159 | ((AliESDtrackCuts &) c).Copy(*this); | |
160 | } | |
161 | ||
162 | AliESDtrackCuts::~AliESDtrackCuts() | |
163 | { | |
164 | // | |
165 | // destructor | |
166 | // | |
167 | ||
927c71e5 | 168 | for (Int_t i=0; i<2; i++) { |
169 | ||
170 | if (fhNClustersITS[i]) | |
171 | delete fhNClustersITS[i]; | |
172 | if (fhNClustersTPC[i]) | |
173 | delete fhNClustersTPC[i]; | |
174 | if (fhChi2PerClusterITS[i]) | |
175 | delete fhChi2PerClusterITS[i]; | |
176 | if (fhChi2PerClusterTPC[i]) | |
177 | delete fhChi2PerClusterTPC[i]; | |
178 | if (fhC11[i]) | |
179 | delete fhC11[i]; | |
180 | if (fhC22[i]) | |
181 | delete fhC22[i]; | |
182 | if (fhC33[i]) | |
183 | delete fhC33[i]; | |
184 | if (fhC44[i]) | |
185 | delete fhC44[i]; | |
186 | if (fhC55[i]) | |
187 | delete fhC55[i]; | |
188 | ||
189 | if (fhDXY[i]) | |
190 | delete fhDXY[i]; | |
191 | if (fhDZ[i]) | |
192 | delete fhDZ[i]; | |
193 | if (fhDXYvsDZ[i]) | |
194 | delete fhDXYvsDZ[i]; | |
195 | ||
196 | if (fhDXYNormalized[i]) | |
197 | delete fhDXYNormalized[i]; | |
198 | if (fhDZNormalized[i]) | |
3c4b53f0 | 199 | delete fhDZNormalized[i]; |
927c71e5 | 200 | if (fhDXYvsDZNormalized[i]) |
201 | delete fhDXYvsDZNormalized[i]; | |
129a66bb | 202 | if (fhNSigmaToVertex[i]) |
203 | delete fhNSigmaToVertex[i]; | |
927c71e5 | 204 | } |
3c4b53f0 | 205 | |
129a66bb | 206 | if (ffDTheoretical) |
207 | delete ffDTheoretical; | |
927c71e5 | 208 | |
209 | if (fhCutStatistics) | |
210 | delete fhCutStatistics; | |
211 | if (fhCutCorrelation) | |
212 | delete fhCutCorrelation; | |
ebd60d8e | 213 | } |
214 | ||
215 | void AliESDtrackCuts::Init() | |
216 | { | |
217 | // | |
218 | // sets everything to zero | |
219 | // | |
220 | ||
ab2c1f0d | 221 | fCutMinNClusterTPC = 0; |
222 | fCutMinNClusterITS = 0; | |
ebd60d8e | 223 | |
ab2c1f0d | 224 | fCutMaxChi2PerClusterTPC = 0; |
225 | fCutMaxChi2PerClusterITS = 0; | |
ebd60d8e | 226 | |
ab2c1f0d | 227 | fCutMaxC11 = 0; |
228 | fCutMaxC22 = 0; | |
229 | fCutMaxC33 = 0; | |
230 | fCutMaxC44 = 0; | |
231 | fCutMaxC55 = 0; | |
ebd60d8e | 232 | |
ab2c1f0d | 233 | fCutAcceptKinkDaughters = 0; |
234 | fCutRequireTPCRefit = 0; | |
235 | fCutRequireITSRefit = 0; | |
ebd60d8e | 236 | |
ab2c1f0d | 237 | fCutNsigmaToVertex = 0; |
238 | fCutSigmaToVertexRequired = 0; | |
ebd60d8e | 239 | |
240 | fPMin = 0; | |
241 | fPMax = 0; | |
242 | fPtMin = 0; | |
243 | fPtMax = 0; | |
244 | fPxMin = 0; | |
245 | fPxMax = 0; | |
246 | fPyMin = 0; | |
247 | fPyMax = 0; | |
248 | fPzMin = 0; | |
249 | fPzMax = 0; | |
250 | fEtaMin = 0; | |
251 | fEtaMax = 0; | |
252 | fRapMin = 0; | |
253 | fRapMax = 0; | |
254 | ||
255 | fHistogramsOn = kFALSE; | |
256 | ||
257 | for (Int_t i=0; i<2; ++i) | |
258 | { | |
259 | fhNClustersITS[i] = 0; | |
260 | fhNClustersTPC[i] = 0; | |
261 | ||
262 | fhChi2PerClusterITS[i] = 0; | |
263 | fhChi2PerClusterTPC[i] = 0; | |
264 | ||
265 | fhC11[i] = 0; | |
266 | fhC22[i] = 0; | |
267 | fhC33[i] = 0; | |
268 | fhC44[i] = 0; | |
269 | fhC55[i] = 0; | |
270 | ||
271 | fhDXY[i] = 0; | |
272 | fhDZ[i] = 0; | |
273 | fhDXYvsDZ[i] = 0; | |
274 | ||
275 | fhDXYNormalized[i] = 0; | |
276 | fhDZNormalized[i] = 0; | |
277 | fhDXYvsDZNormalized[i] = 0; | |
129a66bb | 278 | fhNSigmaToVertex[i] = 0; |
ebd60d8e | 279 | } |
129a66bb | 280 | ffDTheoretical = 0; |
ebd60d8e | 281 | |
282 | fhCutStatistics = 0; | |
283 | fhCutCorrelation = 0; | |
284 | } | |
285 | ||
286 | //_____________________________________________________________________________ | |
287 | AliESDtrackCuts &AliESDtrackCuts::operator=(const AliESDtrackCuts &c) | |
288 | { | |
289 | // | |
290 | // Assignment operator | |
291 | // | |
0b75bef2 | 292 | |
ebd60d8e | 293 | if (this != &c) ((AliESDtrackCuts &) c).Copy(*this); |
294 | return *this; | |
295 | } | |
296 | ||
297 | //_____________________________________________________________________________ | |
298 | void AliESDtrackCuts::Copy(TObject &c) const | |
299 | { | |
300 | // | |
301 | // Copy function | |
302 | // | |
303 | ||
304 | AliESDtrackCuts& target = (AliESDtrackCuts &) c; | |
305 | ||
306 | target.Init(); | |
307 | ||
ab2c1f0d | 308 | target.fCutMinNClusterTPC = fCutMinNClusterTPC; |
309 | target.fCutMinNClusterITS = fCutMinNClusterITS; | |
ebd60d8e | 310 | |
ab2c1f0d | 311 | target.fCutMaxChi2PerClusterTPC = fCutMaxChi2PerClusterTPC; |
312 | target.fCutMaxChi2PerClusterITS = fCutMaxChi2PerClusterITS; | |
ebd60d8e | 313 | |
ab2c1f0d | 314 | target.fCutMaxC11 = fCutMaxC11; |
315 | target.fCutMaxC22 = fCutMaxC22; | |
316 | target.fCutMaxC33 = fCutMaxC33; | |
317 | target.fCutMaxC44 = fCutMaxC44; | |
318 | target.fCutMaxC55 = fCutMaxC55; | |
ebd60d8e | 319 | |
ab2c1f0d | 320 | target.fCutAcceptKinkDaughters = fCutAcceptKinkDaughters; |
321 | target.fCutRequireTPCRefit = fCutRequireTPCRefit; | |
322 | target.fCutRequireITSRefit = fCutRequireITSRefit; | |
ebd60d8e | 323 | |
ab2c1f0d | 324 | target.fCutNsigmaToVertex = fCutNsigmaToVertex; |
325 | target.fCutSigmaToVertexRequired = fCutSigmaToVertexRequired; | |
ebd60d8e | 326 | |
327 | target.fPMin = fPMin; | |
328 | target.fPMax = fPMax; | |
329 | target.fPtMin = fPtMin; | |
330 | target.fPtMax = fPtMax; | |
331 | target.fPxMin = fPxMin; | |
332 | target.fPxMax = fPxMax; | |
333 | target.fPyMin = fPyMin; | |
334 | target.fPyMax = fPyMax; | |
335 | target.fPzMin = fPzMin; | |
336 | target.fPzMax = fPzMax; | |
337 | target.fEtaMin = fEtaMin; | |
338 | target.fEtaMax = fEtaMax; | |
339 | target.fRapMin = fRapMin; | |
340 | target.fRapMax = fRapMax; | |
341 | ||
342 | target.fHistogramsOn = fHistogramsOn; | |
343 | ||
344 | for (Int_t i=0; i<2; ++i) | |
345 | { | |
346 | if (fhNClustersITS[i]) target.fhNClustersITS[i] = (TH1F*) fhNClustersITS[i]->Clone(); | |
347 | if (fhNClustersTPC[i]) target.fhNClustersTPC[i] = (TH1F*) fhNClustersTPC[i]->Clone(); | |
348 | ||
349 | if (fhChi2PerClusterITS[i]) target.fhChi2PerClusterITS[i] = (TH1F*) fhChi2PerClusterITS[i]->Clone(); | |
350 | if (fhChi2PerClusterTPC[i]) target.fhChi2PerClusterTPC[i] = (TH1F*) fhChi2PerClusterTPC[i]->Clone(); | |
351 | ||
352 | if (fhC11[i]) target.fhC11[i] = (TH1F*) fhC11[i]->Clone(); | |
353 | if (fhC22[i]) target.fhC22[i] = (TH1F*) fhC22[i]->Clone(); | |
354 | if (fhC33[i]) target.fhC33[i] = (TH1F*) fhC33[i]->Clone(); | |
355 | if (fhC44[i]) target.fhC44[i] = (TH1F*) fhC44[i]->Clone(); | |
356 | if (fhC55[i]) target.fhC55[i] = (TH1F*) fhC55[i]->Clone(); | |
357 | ||
358 | if (fhDXY[i]) target.fhDXY[i] = (TH1F*) fhDXY[i]->Clone(); | |
359 | if (fhDZ[i]) target.fhDZ[i] = (TH1F*) fhDZ[i]->Clone(); | |
360 | if (fhDXYvsDZ[i]) target.fhDXYvsDZ[i] = (TH2F*) fhDXYvsDZ[i]->Clone(); | |
361 | ||
362 | if (fhDXYNormalized[i]) target.fhDXYNormalized[i] = (TH1F*) fhDXYNormalized[i]->Clone(); | |
363 | if (fhDZNormalized[i]) target.fhDZNormalized[i] = (TH1F*) fhDZNormalized[i]->Clone(); | |
364 | if (fhDXYvsDZNormalized[i]) target.fhDXYvsDZNormalized[i] = (TH2F*) fhDXYvsDZNormalized[i]->Clone(); | |
129a66bb | 365 | if (fhNSigmaToVertex[i]) target.fhNSigmaToVertex[i] = (TH1F*) fhNSigmaToVertex[i]->Clone(); |
ebd60d8e | 366 | } |
129a66bb | 367 | if (ffDTheoretical) target.ffDTheoretical = (TF1*) ffDTheoretical->Clone(); |
ebd60d8e | 368 | |
369 | if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone(); | |
370 | if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone(); | |
0b75bef2 | 371 | |
0b8a2421 | 372 | TNamed::Copy(c); |
0b75bef2 | 373 | } |
374 | ||
927c71e5 | 375 | //_____________________________________________________________________________ |
376 | Long64_t AliESDtrackCuts::Merge(TCollection* list) { | |
377 | // Merge a list of AliESDtrackCuts objects with this (needed for PROOF) | |
378 | // Returns the number of merged objects (including this) | |
379 | ||
380 | if (!list) | |
381 | return 0; | |
382 | ||
383 | if (list->IsEmpty()) | |
384 | return 1; | |
385 | ||
386 | if (!fHistogramsOn) | |
387 | return 0; | |
388 | ||
389 | TIterator* iter = list->MakeIterator(); | |
390 | TObject* obj; | |
391 | ||
392 | ||
393 | // collection of measured and generated histograms | |
394 | Int_t count = 0; | |
395 | while ((obj = iter->Next())) { | |
396 | ||
397 | AliESDtrackCuts* entry = dynamic_cast<AliESDtrackCuts*>(obj); | |
398 | if (entry == 0) | |
399 | continue; | |
400 | ||
401 | if (!entry->fHistogramsOn) | |
402 | continue; | |
403 | ||
404 | for (Int_t i=0; i<2; i++) { | |
405 | ||
406 | fhNClustersITS[i] ->Add(entry->fhNClustersITS[i] ); | |
407 | fhNClustersTPC[i] ->Add(entry->fhNClustersTPC[i] ); | |
408 | ||
409 | fhChi2PerClusterITS[i] ->Add(entry->fhChi2PerClusterITS[i]); | |
410 | fhChi2PerClusterTPC[i] ->Add(entry->fhChi2PerClusterTPC[i]); | |
411 | ||
412 | fhC11[i] ->Add(entry->fhC11[i] ); | |
413 | fhC22[i] ->Add(entry->fhC22[i] ); | |
414 | fhC33[i] ->Add(entry->fhC33[i] ); | |
415 | fhC44[i] ->Add(entry->fhC44[i] ); | |
416 | fhC55[i] ->Add(entry->fhC55[i] ); | |
417 | ||
418 | fhDXY[i] ->Add(entry->fhDXY[i] ); | |
419 | fhDZ[i] ->Add(entry->fhDZ[i] ); | |
420 | fhDXYvsDZ[i] ->Add(entry->fhDXYvsDZ[i] ); | |
421 | ||
422 | fhDXYNormalized[i] ->Add(entry->fhDXYNormalized[i] ); | |
3c4b53f0 | 423 | fhDZNormalized[i] ->Add(entry->fhDZNormalized[i] ); |
927c71e5 | 424 | fhDXYvsDZNormalized[i] ->Add(entry->fhDXYvsDZNormalized[i]); |
129a66bb | 425 | fhNSigmaToVertex[i] ->Add(entry->fhNSigmaToVertex[i]); |
426 | ||
927c71e5 | 427 | } |
428 | ||
429 | fhCutStatistics ->Add(entry->fhCutStatistics); | |
430 | fhCutCorrelation ->Add(entry->fhCutCorrelation); | |
431 | ||
432 | count++; | |
433 | } | |
434 | ||
435 | return count+1; | |
436 | } | |
437 | ||
438 | ||
0b75bef2 | 439 | //____________________________________________________________________ |
2b9019e4 | 440 | Float_t AliESDtrackCuts::GetSigmaToVertex(AliESDtrack* esdTrack) |
441 | { | |
129a66bb | 442 | // Calculates the number of sigma to the vertex. |
2b9019e4 | 443 | |
444 | Float_t b[2]; | |
445 | Float_t bRes[2]; | |
446 | Float_t bCov[3]; | |
447 | esdTrack->GetImpactParameters(b,bCov); | |
448 | if (bCov[0]<=0 || bCov[2]<=0) { | |
449 | AliDebug(1, "Estimated b resolution lower or equal zero!"); | |
450 | bCov[0]=0; bCov[2]=0; | |
451 | } | |
452 | bRes[0] = TMath::Sqrt(bCov[0]); | |
453 | bRes[1] = TMath::Sqrt(bCov[2]); | |
454 | ||
455 | // ----------------------------------- | |
456 | // How to get to a n-sigma cut? | |
457 | // | |
458 | // The accumulated statistics from 0 to d is | |
459 | // | |
460 | // -> Erf(d/Sqrt(2)) for a 1-dim gauss (d = n_sigma) | |
461 | // -> 1 - Exp(-d**2) for a 2-dim gauss (d*d = dx*dx + dy*dy != n_sigma) | |
462 | // | |
463 | // It means that for a 2-dim gauss: n_sigma(d) = Sqrt(2)*ErfInv(1 - Exp((-x**2)/2) | |
464 | // Can this be expressed in a different way? | |
2b9019e4 | 465 | |
466 | if (bRes[0] == 0 || bRes[1] ==0) | |
467 | return -1; | |
468 | ||
469 | Float_t d = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2)); | |
470 | ||
471 | // stupid rounding problem screws up everything: | |
472 | // if d is too big, TMath::Exp(...) gets 0, and TMath::ErfInverse(1) that should be infinite, gets 0 :( | |
473 | if (TMath::Exp(-d * d / 2) < 1e-10) | |
474 | return 1000; | |
475 | ||
476 | d = TMath::ErfInverse(1 - TMath::Exp(-d * d / 2)) * TMath::Sqrt(2); | |
477 | return d; | |
478 | } | |
479 | ||
5c495d37 | 480 | void AliESDtrackCuts::EnableNeededBranches(TTree* tree) |
481 | { | |
482 | // enables the branches needed by AcceptTrack, for a list see comment of AcceptTrack | |
483 | ||
484 | tree->SetBranchStatus("fTracks.fFlags", 1); | |
485 | tree->SetBranchStatus("fTracks.fITSncls", 1); | |
486 | tree->SetBranchStatus("fTracks.fTPCncls", 1); | |
487 | tree->SetBranchStatus("fTracks.fITSchi2", 1); | |
488 | tree->SetBranchStatus("fTracks.fTPCchi2", 1); | |
489 | tree->SetBranchStatus("fTracks.fC*", 1); | |
490 | tree->SetBranchStatus("fTracks.fD", 1); | |
491 | tree->SetBranchStatus("fTracks.fZ", 1); | |
492 | tree->SetBranchStatus("fTracks.fCdd", 1); | |
493 | tree->SetBranchStatus("fTracks.fCdz", 1); | |
494 | tree->SetBranchStatus("fTracks.fCzz", 1); | |
495 | tree->SetBranchStatus("fTracks.fP*", 1); | |
496 | tree->SetBranchStatus("fTracks.fR*", 1); | |
497 | tree->SetBranchStatus("fTracks.fKinkIndexes*", 1); | |
498 | } | |
499 | ||
2b9019e4 | 500 | //____________________________________________________________________ |
501 | Bool_t | |
0b75bef2 | 502 | AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack) { |
503 | // | |
504 | // figure out if the tracks survives all the track cuts defined | |
505 | // | |
ab2c1f0d | 506 | // the different quality parameter and kinematic values are first |
507 | // retrieved from the track. then it is found out what cuts the | |
508 | // track did not survive and finally the cuts are imposed. | |
0b75bef2 | 509 | |
5c495d37 | 510 | // this function needs the following branches: |
511 | // fTracks.fFlags | |
512 | // fTracks.fITSncls | |
513 | // fTracks.fTPCncls | |
514 | // fTracks.fITSchi2 | |
515 | // fTracks.fTPCchi2 | |
516 | // fTracks.fC //GetExternalCovariance | |
517 | // fTracks.fD //GetImpactParameters | |
518 | // fTracks.fZ //GetImpactParameters | |
519 | // fTracks.fCdd //GetImpactParameters | |
520 | // fTracks.fCdz //GetImpactParameters | |
521 | // fTracks.fCzz //GetImpactParameters | |
522 | // fTracks.fP //GetPxPyPz | |
523 | // fTracks.fR //GetMass | |
524 | // fTracks.fP //GetMass | |
525 | // fTracks.fKinkIndexes | |
1ae6c515 | 526 | |
0b75bef2 | 527 | UInt_t status = esdTrack->GetStatus(); |
ebd60d8e | 528 | |
529 | // dummy array | |
530 | Int_t fIdxInt[200]; | |
531 | ||
0b75bef2 | 532 | // getting quality parameters from the ESD track |
533 | Int_t nClustersITS = esdTrack->GetITSclusters(fIdxInt); | |
534 | Int_t nClustersTPC = esdTrack->GetTPCclusters(fIdxInt); | |
535 | ||
1ae6c515 | 536 | |
537 | ||
0b75bef2 | 538 | Float_t chi2PerClusterITS = -1; |
539 | Float_t chi2PerClusterTPC = -1; | |
540 | if (nClustersITS!=0) | |
541 | chi2PerClusterITS = esdTrack->GetITSchi2()/Float_t(nClustersITS); | |
542 | if (nClustersTPC!=0) | |
5c495d37 | 543 | chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC); |
0b75bef2 | 544 | |
545 | Double_t extCov[15]; | |
ebd60d8e | 546 | esdTrack->GetExternalCovariance(extCov); |
0b75bef2 | 547 | |
548 | // getting the track to vertex parameters | |
2b9019e4 | 549 | Float_t nSigmaToVertex = GetSigmaToVertex(esdTrack); |
0b75bef2 | 550 | |
2b9019e4 | 551 | // getting the kinematic variables of the track |
0b75bef2 | 552 | // (assuming the mass is known) |
553 | Double_t p[3]; | |
554 | esdTrack->GetPxPyPz(p); | |
555 | Float_t momentum = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2) + TMath::Power(p[2],2)); | |
556 | Float_t pt = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2)); | |
557 | Float_t energy = TMath::Sqrt(TMath::Power(esdTrack->GetMass(),2) + TMath::Power(momentum,2)); | |
558 | ||
1ae6c515 | 559 | |
0b75bef2 | 560 | //y-eta related calculations |
561 | Float_t eta = -100.; | |
562 | Float_t y = -100.; | |
563 | if((momentum != TMath::Abs(p[2]))&&(momentum != 0)) | |
564 | eta = 0.5*TMath::Log((momentum + p[2])/(momentum - p[2])); | |
565 | if((energy != TMath::Abs(p[2]))&&(momentum != 0)) | |
566 | y = 0.5*TMath::Log((energy + p[2])/(energy - p[2])); | |
567 | ||
568 | ||
569 | //######################################################################## | |
570 | // cut the track? | |
571 | ||
ebd60d8e | 572 | Bool_t cuts[kNCuts]; |
573 | for (Int_t i=0; i<kNCuts; i++) cuts[i]=kFALSE; | |
0b75bef2 | 574 | |
575 | // track quality cuts | |
ab2c1f0d | 576 | if (fCutRequireTPCRefit && (status&AliESDtrack::kTPCrefit)==0) |
0b75bef2 | 577 | cuts[0]=kTRUE; |
ab2c1f0d | 578 | if (fCutRequireITSRefit && (status&AliESDtrack::kITSrefit)==0) |
0b75bef2 | 579 | cuts[1]=kTRUE; |
2b9019e4 | 580 | if (nClustersTPC<fCutMinNClusterTPC) |
0b75bef2 | 581 | cuts[2]=kTRUE; |
ab2c1f0d | 582 | if (nClustersITS<fCutMinNClusterITS) |
0b75bef2 | 583 | cuts[3]=kTRUE; |
ab2c1f0d | 584 | if (chi2PerClusterTPC>fCutMaxChi2PerClusterTPC) |
0b75bef2 | 585 | cuts[4]=kTRUE; |
ab2c1f0d | 586 | if (chi2PerClusterITS>fCutMaxChi2PerClusterITS) |
0b75bef2 | 587 | cuts[5]=kTRUE; |
ab2c1f0d | 588 | if (extCov[0] > fCutMaxC11) |
0b75bef2 | 589 | cuts[6]=kTRUE; |
ab2c1f0d | 590 | if (extCov[2] > fCutMaxC22) |
0b75bef2 | 591 | cuts[7]=kTRUE; |
ab2c1f0d | 592 | if (extCov[5] > fCutMaxC33) |
0b75bef2 | 593 | cuts[8]=kTRUE; |
ab2c1f0d | 594 | if (extCov[9] > fCutMaxC44) |
0b75bef2 | 595 | cuts[9]=kTRUE; |
ab2c1f0d | 596 | if (extCov[14] > fCutMaxC55) |
0b75bef2 | 597 | cuts[10]=kTRUE; |
70d782ef | 598 | if (nSigmaToVertex > fCutNsigmaToVertex && fCutSigmaToVertexRequired) |
0b75bef2 | 599 | cuts[11] = kTRUE; |
600 | // if n sigma could not be calculated | |
10ebe68d | 601 | if (nSigmaToVertex<0 && fCutSigmaToVertexRequired) |
0b75bef2 | 602 | cuts[12]=kTRUE; |
5c495d37 | 603 | if (!fCutAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0) |
0b75bef2 | 604 | cuts[13]=kTRUE; |
605 | // track kinematics cut | |
606 | if((momentum < fPMin) || (momentum > fPMax)) | |
607 | cuts[14]=kTRUE; | |
608 | if((pt < fPtMin) || (pt > fPtMax)) | |
609 | cuts[15] = kTRUE; | |
610 | if((p[0] < fPxMin) || (p[0] > fPxMax)) | |
611 | cuts[16] = kTRUE; | |
612 | if((p[1] < fPyMin) || (p[1] > fPyMax)) | |
613 | cuts[17] = kTRUE; | |
2b9019e4 | 614 | if((p[2] < fPzMin) || (p[2] > fPzMax)) |
0b75bef2 | 615 | cuts[18] = kTRUE; |
616 | if((eta < fEtaMin) || (eta > fEtaMax)) | |
617 | cuts[19] = kTRUE; | |
618 | if((y < fRapMin) || (y > fRapMax)) | |
619 | cuts[20] = kTRUE; | |
620 | ||
621 | Bool_t cut=kFALSE; | |
ebd60d8e | 622 | for (Int_t i=0; i<kNCuts; i++) |
0b75bef2 | 623 | if (cuts[i]) cut = kTRUE; |
624 | ||
625 | //######################################################################## | |
626 | // filling histograms | |
627 | if (fHistogramsOn) { | |
f58f1a93 | 628 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n tracks"))); |
0b75bef2 | 629 | |
630 | if (cut) | |
f58f1a93 | 631 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n cut tracks"))); |
0b75bef2 | 632 | |
ebd60d8e | 633 | for (Int_t i=0; i<kNCuts; i++) { |
0b75bef2 | 634 | if (cuts[i]) |
ab2c1f0d | 635 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin(fgkCutNames[i]))); |
0b75bef2 | 636 | |
ebd60d8e | 637 | for (Int_t j=i; j<kNCuts; j++) { |
0b75bef2 | 638 | if (cuts[i] && cuts[j]) { |
ab2c1f0d | 639 | Float_t x = fhCutCorrelation->GetXaxis()->GetBinCenter(fhCutCorrelation->GetXaxis()->FindBin(fgkCutNames[i])); |
640 | Float_t y = fhCutCorrelation->GetYaxis()->GetBinCenter(fhCutCorrelation->GetYaxis()->FindBin(fgkCutNames[j])); | |
f58f1a93 | 641 | fhCutCorrelation->Fill(x,y); |
0b75bef2 | 642 | } |
643 | } | |
644 | } | |
645 | ||
646 | ||
2b9019e4 | 647 | fhNClustersITS[0]->Fill(nClustersITS); |
648 | fhNClustersTPC[0]->Fill(nClustersTPC); | |
f58f1a93 | 649 | fhChi2PerClusterITS[0]->Fill(chi2PerClusterITS); |
2b9019e4 | 650 | fhChi2PerClusterTPC[0]->Fill(chi2PerClusterTPC); |
651 | ||
652 | fhC11[0]->Fill(extCov[0]); | |
653 | fhC22[0]->Fill(extCov[2]); | |
654 | fhC33[0]->Fill(extCov[5]); | |
655 | fhC44[0]->Fill(extCov[9]); | |
656 | fhC55[0]->Fill(extCov[14]); | |
657 | ||
658 | Float_t b[2]; | |
659 | Float_t bRes[2]; | |
660 | Float_t bCov[3]; | |
661 | esdTrack->GetImpactParameters(b,bCov); | |
662 | if (bCov[0]<=0 || bCov[2]<=0) { | |
663 | AliDebug(1, "Estimated b resolution lower or equal zero!"); | |
664 | bCov[0]=0; bCov[2]=0; | |
665 | } | |
666 | bRes[0] = TMath::Sqrt(bCov[0]); | |
667 | bRes[1] = TMath::Sqrt(bCov[2]); | |
668 | ||
669 | fhDZ[0]->Fill(b[1]); | |
670 | fhDXY[0]->Fill(b[0]); | |
f58f1a93 | 671 | fhDXYvsDZ[0]->Fill(b[1],b[0]); |
0b75bef2 | 672 | |
673 | if (bRes[0]!=0 && bRes[1]!=0) { | |
10ebe68d | 674 | fhDZNormalized[0]->Fill(b[1]/bRes[1]); |
2b9019e4 | 675 | fhDXYNormalized[0]->Fill(b[0]/bRes[0]); |
f58f1a93 | 676 | fhDXYvsDZNormalized[0]->Fill(b[1]/bRes[1], b[0]/bRes[0]); |
129a66bb | 677 | fhNSigmaToVertex[0]->Fill(nSigmaToVertex); |
0b75bef2 | 678 | } |
679 | } | |
680 | ||
2b9019e4 | 681 | //######################################################################## |
0b75bef2 | 682 | // cut the track! |
683 | if (cut) return kFALSE; | |
684 | ||
2b9019e4 | 685 | //######################################################################## |
0b75bef2 | 686 | // filling histograms after cut |
687 | if (fHistogramsOn) { | |
2b9019e4 | 688 | fhNClustersITS[1]->Fill(nClustersITS); |
689 | fhNClustersTPC[1]->Fill(nClustersTPC); | |
f58f1a93 | 690 | fhChi2PerClusterITS[1]->Fill(chi2PerClusterITS); |
2b9019e4 | 691 | fhChi2PerClusterTPC[1]->Fill(chi2PerClusterTPC); |
692 | ||
693 | fhC11[1]->Fill(extCov[0]); | |
694 | fhC22[1]->Fill(extCov[2]); | |
10ebe68d | 695 | fhC33[1]->Fill(extCov[5]); |
2b9019e4 | 696 | fhC44[1]->Fill(extCov[9]); |
697 | fhC55[1]->Fill(extCov[14]); | |
698 | ||
699 | Float_t b[2]; | |
700 | Float_t bRes[2]; | |
701 | Float_t bCov[3]; | |
702 | esdTrack->GetImpactParameters(b,bCov); | |
703 | if (bCov[0]<=0 || bCov[2]<=0) { | |
704 | AliDebug(1, "Estimated b resolution lower or equal zero!"); | |
705 | bCov[0]=0; bCov[2]=0; | |
706 | } | |
707 | bRes[0] = TMath::Sqrt(bCov[0]); | |
708 | bRes[1] = TMath::Sqrt(bCov[2]); | |
709 | ||
710 | fhDZ[1]->Fill(b[1]); | |
711 | fhDXY[1]->Fill(b[0]); | |
f58f1a93 | 712 | fhDXYvsDZ[1]->Fill(b[1],b[0]); |
0b75bef2 | 713 | |
10ebe68d | 714 | if (bRes[0]!=0 && bRes[1]!=0) |
715 | { | |
716 | fhDZNormalized[1]->Fill(b[1]/bRes[1]); | |
717 | fhDXYNormalized[1]->Fill(b[0]/bRes[0]); | |
718 | fhDXYvsDZNormalized[1]->Fill(b[1]/bRes[1], b[0]/bRes[0]); | |
129a66bb | 719 | fhNSigmaToVertex[1]->Fill(nSigmaToVertex); |
10ebe68d | 720 | } |
0b75bef2 | 721 | } |
2b9019e4 | 722 | |
0b75bef2 | 723 | return kTRUE; |
724 | } | |
725 | ||
726 | //____________________________________________________________________ | |
70d782ef | 727 | TObjArray* AliESDtrackCuts::GetAcceptedTracks(AliESD* esd) |
728 | { | |
729 | // | |
730 | // returns an array of all tracks that pass the cuts | |
731 | // | |
732 | ||
733 | TObjArray* acceptedTracks = new TObjArray(); | |
734 | ||
735 | // loop over esd tracks | |
736 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
737 | AliESDtrack* track = esd->GetTrack(iTrack); | |
738 | ||
739 | if (AcceptTrack(track)) | |
740 | acceptedTracks->Add(track); | |
741 | } | |
742 | ||
743 | return acceptedTracks; | |
744 | } | |
745 | ||
746 | //____________________________________________________________________ | |
747 | Int_t AliESDtrackCuts::CountAcceptedTracks(AliESD* esd) | |
748 | { | |
749 | // | |
750 | // returns an the number of tracks that pass the cuts | |
751 | // | |
752 | ||
753 | Int_t count = 0; | |
754 | ||
755 | // loop over esd tracks | |
756 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
757 | AliESDtrack* track = esd->GetTrack(iTrack); | |
758 | ||
759 | if (AcceptTrack(track)) | |
760 | count++; | |
761 | } | |
762 | ||
763 | return count; | |
764 | } | |
765 | ||
766 | //____________________________________________________________________ | |
767 | TObjArray* AliESDtrackCuts::GetAcceptedTracks(AliESDEvent* esd) | |
ebd60d8e | 768 | { |
769 | // | |
0b75bef2 | 770 | // returns an array of all tracks that pass the cuts |
ebd60d8e | 771 | // |
772 | ||
773 | TObjArray* acceptedTracks = new TObjArray(); | |
c5858666 | 774 | |
0b75bef2 | 775 | // loop over esd tracks |
776 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
777 | AliESDtrack* track = esd->GetTrack(iTrack); | |
c5858666 | 778 | |
ebd60d8e | 779 | if (AcceptTrack(track)) |
780 | acceptedTracks->Add(track); | |
0b75bef2 | 781 | } |
782 | ||
ebd60d8e | 783 | return acceptedTracks; |
0b75bef2 | 784 | } |
785 | ||
c5858666 | 786 | //____________________________________________________________________ |
70d782ef | 787 | Int_t AliESDtrackCuts::CountAcceptedTracks(AliESDEvent* esd) |
c5858666 | 788 | { |
789 | // | |
790 | // returns an the number of tracks that pass the cuts | |
791 | // | |
792 | ||
793 | Int_t count = 0; | |
794 | ||
795 | // loop over esd tracks | |
796 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
797 | AliESDtrack* track = esd->GetTrack(iTrack); | |
798 | ||
799 | if (AcceptTrack(track)) | |
800 | count++; | |
801 | } | |
802 | ||
803 | return count; | |
804 | } | |
805 | ||
0b75bef2 | 806 | //____________________________________________________________________ |
f58f1a93 | 807 | void AliESDtrackCuts::DefineHistograms(Int_t color) { |
ab2c1f0d | 808 | // |
809 | // diagnostics histograms are defined | |
810 | // | |
0b75bef2 | 811 | |
f58f1a93 | 812 | fHistogramsOn=kTRUE; |
3c4b53f0 | 813 | |
814 | Bool_t oldStatus = TH1::AddDirectoryStatus(); | |
815 | TH1::AddDirectory(kFALSE); | |
816 | ||
ab2c1f0d | 817 | //################################################################################### |
f58f1a93 | 818 | // defining histograms |
0b75bef2 | 819 | |
ebd60d8e | 820 | fhCutStatistics = new TH1F("cut_statistics","cut statistics",kNCuts+4,-0.5,kNCuts+3.5); |
0b75bef2 | 821 | |
f58f1a93 | 822 | fhCutStatistics->GetXaxis()->SetBinLabel(1,"n tracks"); |
823 | fhCutStatistics->GetXaxis()->SetBinLabel(2,"n cut tracks"); | |
0b75bef2 | 824 | |
ebd60d8e | 825 | fhCutCorrelation = new TH2F("cut_correlation","cut correlation",kNCuts,-0.5,kNCuts-0.5,kNCuts,-0.5,kNCuts-0.5);; |
0b75bef2 | 826 | |
ebd60d8e | 827 | for (Int_t i=0; i<kNCuts; i++) { |
ab2c1f0d | 828 | fhCutStatistics->GetXaxis()->SetBinLabel(i+4,fgkCutNames[i]); |
829 | fhCutCorrelation->GetXaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
830 | fhCutCorrelation->GetYaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
f58f1a93 | 831 | } |
832 | ||
833 | fhCutStatistics ->SetLineColor(color); | |
834 | fhCutCorrelation ->SetLineColor(color); | |
835 | fhCutStatistics ->SetLineWidth(2); | |
836 | fhCutCorrelation ->SetLineWidth(2); | |
837 | ||
0b75bef2 | 838 | Char_t str[256]; |
839 | for (Int_t i=0; i<2; i++) { | |
840 | if (i==0) sprintf(str," "); | |
841 | else sprintf(str,"_cut"); | |
842 | ||
3c4b53f0 | 843 | fhNClustersITS[i] = new TH1F(Form("nClustersITS%s",str) ,"",8,-0.5,7.5); |
844 | fhNClustersTPC[i] = new TH1F(Form("nClustersTPC%s",str) ,"",165,-0.5,164.5); | |
ebd60d8e | 845 | fhChi2PerClusterITS[i] = new TH1F(Form("chi2PerClusterITS%s",str),"",500,0,10); |
846 | fhChi2PerClusterTPC[i] = new TH1F(Form("chi2PerClusterTPC%s",str),"",500,0,10); | |
847 | ||
3c4b53f0 | 848 | fhC11[i] = new TH1F(Form("covMatrixDiagonal11%s",str),"",2000,0,20); |
d8594d03 | 849 | fhC22[i] = new TH1F(Form("covMatrixDiagonal22%s",str),"",2000,0,20); |
850 | fhC33[i] = new TH1F(Form("covMatrixDiagonal33%s",str),"",1000,0,1); | |
ebd60d8e | 851 | fhC44[i] = new TH1F(Form("covMatrixDiagonal44%s",str),"",1000,0,5); |
852 | fhC55[i] = new TH1F(Form("covMatrixDiagonal55%s",str),"",1000,0,5); | |
853 | ||
3c4b53f0 | 854 | fhDXY[i] = new TH1F(Form("dXY%s",str) ,"",500,-10,10); |
855 | fhDZ[i] = new TH1F(Form("dZ%s",str) ,"",500,-10,10); | |
ebd60d8e | 856 | fhDXYvsDZ[i] = new TH2F(Form("dXYvsDZ%s",str),"",200,-10,10,200,-10,10); |
857 | ||
3c4b53f0 | 858 | fhDXYNormalized[i] = new TH1F(Form("dXYNormalized%s",str) ,"",500,-10,10); |
859 | fhDZNormalized[i] = new TH1F(Form("dZNormalized%s",str) ,"",500,-10,10); | |
ebd60d8e | 860 | fhDXYvsDZNormalized[i] = new TH2F(Form("dXYvsDZNormalized%s",str),"",200,-10,10,200,-10,10); |
861 | ||
129a66bb | 862 | fhNSigmaToVertex[i] = new TH1F(Form("nSigmaToVertex%s",str),"",500,0,50); |
ebd60d8e | 863 | |
3c4b53f0 | 864 | fhNClustersITS[i]->SetTitle("n ITS clusters"); |
865 | fhNClustersTPC[i]->SetTitle("n TPC clusters"); | |
866 | fhChi2PerClusterITS[i]->SetTitle("#Chi^{2} per ITS cluster"); | |
867 | fhChi2PerClusterTPC[i]->SetTitle("#Chi^{2} per TPC cluster"); | |
ebd60d8e | 868 | |
3c4b53f0 | 869 | fhC11[i]->SetTitle("cov 11 : #sigma_{y}^{2} [cm^{2}]"); |
870 | fhC22[i]->SetTitle("cov 22 : #sigma_{z}^{2} [cm^{2}]"); | |
871 | fhC33[i]->SetTitle("cov 33 : #sigma_{sin(#phi)}^{2}"); | |
872 | fhC44[i]->SetTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}"); | |
873 | fhC55[i]->SetTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]"); | |
ebd60d8e | 874 | |
3c4b53f0 | 875 | fhDXY[i]->SetTitle("transverse impact parameter"); |
876 | fhDZ[i]->SetTitle("longitudinal impact parameter"); | |
877 | fhDXYvsDZ[i]->SetTitle("longitudinal impact parameter"); | |
ebd60d8e | 878 | fhDXYvsDZ[i]->SetYTitle("transverse impact parameter"); |
879 | ||
3c4b53f0 | 880 | fhDXYNormalized[i]->SetTitle("normalized trans impact par"); |
881 | fhDZNormalized[i]->SetTitle("normalized long impact par"); | |
882 | fhDXYvsDZNormalized[i]->SetTitle("normalized long impact par"); | |
ebd60d8e | 883 | fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par"); |
3c4b53f0 | 884 | fhNSigmaToVertex[i]->SetTitle("n #sigma to vertex"); |
ebd60d8e | 885 | |
886 | fhNClustersITS[i]->SetLineColor(color); fhNClustersITS[i]->SetLineWidth(2); | |
887 | fhNClustersTPC[i]->SetLineColor(color); fhNClustersTPC[i]->SetLineWidth(2); | |
888 | fhChi2PerClusterITS[i]->SetLineColor(color); fhChi2PerClusterITS[i]->SetLineWidth(2); | |
889 | fhChi2PerClusterTPC[i]->SetLineColor(color); fhChi2PerClusterTPC[i]->SetLineWidth(2); | |
890 | ||
891 | fhC11[i]->SetLineColor(color); fhC11[i]->SetLineWidth(2); | |
892 | fhC22[i]->SetLineColor(color); fhC22[i]->SetLineWidth(2); | |
893 | fhC33[i]->SetLineColor(color); fhC33[i]->SetLineWidth(2); | |
894 | fhC44[i]->SetLineColor(color); fhC44[i]->SetLineWidth(2); | |
895 | fhC55[i]->SetLineColor(color); fhC55[i]->SetLineWidth(2); | |
896 | ||
897 | fhDXY[i]->SetLineColor(color); fhDXY[i]->SetLineWidth(2); | |
898 | fhDZ[i]->SetLineColor(color); fhDZ[i]->SetLineWidth(2); | |
899 | ||
900 | fhDXYNormalized[i]->SetLineColor(color); fhDXYNormalized[i]->SetLineWidth(2); | |
129a66bb | 901 | fhDZNormalized[i]->SetLineColor(color); fhDZNormalized[i]->SetLineWidth(2); |
902 | fhNSigmaToVertex[i]->SetLineColor(color); fhNSigmaToVertex[i]->SetLineWidth(2); | |
0b75bef2 | 903 | } |
129a66bb | 904 | |
905 | // The number of sigmas to the vertex is per definition gaussian | |
906 | ffDTheoretical = new TF1("nSigmaToVertexTheoretical","([0]/2.506628274)*exp(-(x**2)/2)",0,50); | |
907 | ffDTheoretical->SetParameter(0,1); | |
3c4b53f0 | 908 | |
909 | TH1::AddDirectory(oldStatus); | |
0b75bef2 | 910 | } |
911 | ||
912 | //____________________________________________________________________ | |
3c4b53f0 | 913 | Bool_t AliESDtrackCuts::LoadHistograms(const Char_t* dir) |
914 | { | |
ab2c1f0d | 915 | // |
3c4b53f0 | 916 | // loads the histograms from a file |
917 | // if dir is empty a directory with the name of this object is taken (like in SaveHistogram) | |
ab2c1f0d | 918 | // |
0b75bef2 | 919 | |
3c4b53f0 | 920 | if (!dir) |
921 | dir = GetName(); | |
922 | ||
923 | if (!gDirectory->cd(dir)) | |
924 | return kFALSE; | |
925 | ||
926 | ffDTheoretical = dynamic_cast<TF1*> (gDirectory->Get("nSigmaToVertexTheory")); | |
927 | ||
928 | fhCutStatistics = dynamic_cast<TH1F*> (gDirectory->Get("cut_statistics")); | |
929 | fhCutCorrelation = dynamic_cast<TH2F*> (gDirectory->Get("cut_correlation")); | |
930 | ||
931 | Char_t str[5]; | |
932 | for (Int_t i=0; i<2; i++) { | |
933 | if (i==0) | |
934 | { | |
935 | gDirectory->cd("before_cuts"); | |
936 | str[0] = 0; | |
937 | } | |
938 | else | |
939 | { | |
940 | gDirectory->cd("after_cuts"); | |
941 | sprintf(str,"_cut"); | |
942 | } | |
943 | ||
944 | fhNClustersITS[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("nClustersITS%s",str) )); | |
945 | fhNClustersTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("nClustersTPC%s",str) )); | |
946 | fhChi2PerClusterITS[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("chi2PerClusterITS%s",str))); | |
947 | fhChi2PerClusterTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("chi2PerClusterTPC%s",str))); | |
948 | ||
949 | fhC11[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("covMatrixDiagonal11%s",str))); | |
950 | fhC22[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("covMatrixDiagonal22%s",str))); | |
951 | fhC33[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("covMatrixDiagonal33%s",str))); | |
952 | fhC44[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("covMatrixDiagonal44%s",str))); | |
953 | fhC55[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("covMatrixDiagonal55%s",str))); | |
954 | ||
955 | fhDXY[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("dXY%s",str) )); | |
956 | fhDZ[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("dZ%s",str) )); | |
957 | fhDXYvsDZ[i] = dynamic_cast<TH2F*> (gDirectory->Get(Form("dXYvsDZ%s",str))); | |
958 | ||
959 | fhDXYNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("dXYNormalized%s",str) )); | |
960 | fhDZNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("dZNormalized%s",str) )); | |
961 | fhDXYvsDZNormalized[i] = dynamic_cast<TH2F*> (gDirectory->Get(Form("dXYvsDZNormalized%s",str))); | |
962 | ||
963 | fhNSigmaToVertex[i] = dynamic_cast<TH1F*> (gDirectory->Get(Form("nSigmaToVertex%s",str))); | |
964 | ||
965 | // TODO only temporary | |
966 | /*fhNClustersITS[i]->SetTitle("n ITS clusters"); | |
967 | fhNClustersTPC[i]->SetTitle("n TPC clusters"); | |
968 | fhChi2PerClusterITS[i]->SetTitle("#Chi^{2} per ITS cluster"); | |
969 | fhChi2PerClusterTPC[i]->SetTitle("#Chi^{2} per TPC cluster"); | |
970 | ||
971 | fhC11[i]->SetTitle("cov 11 : #sigma_{y}^{2} [cm^{2}]"); | |
972 | fhC22[i]->SetTitle("cov 22 : #sigma_{z}^{2} [cm^{2}]"); | |
973 | fhC33[i]->SetTitle("cov 33 : #sigma_{sin(#phi)}^{2}"); | |
974 | fhC44[i]->SetTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}"); | |
975 | fhC55[i]->SetTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]"); | |
976 | ||
977 | fhDXY[i]->SetTitle("transverse impact parameter"); | |
978 | fhDZ[i]->SetTitle("longitudinal impact parameter"); | |
979 | fhDXYvsDZ[i]->SetTitle("longitudinal impact parameter"); | |
980 | fhDXYvsDZ[i]->SetYTitle("transverse impact parameter"); | |
0b75bef2 | 981 | |
3c4b53f0 | 982 | fhDXYNormalized[i]->SetTitle("normalized trans impact par"); |
983 | fhDZNormalized[i]->SetTitle("normalized long impact par"); | |
984 | fhDXYvsDZNormalized[i]->SetTitle("normalized long impact par"); | |
985 | fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par"); | |
986 | fhNSigmaToVertex[i]->SetTitle("n #sigma to vertex");*/ | |
987 | ||
988 | gDirectory->cd("../"); | |
989 | } | |
990 | ||
991 | gDirectory->cd(".."); | |
992 | ||
993 | return kTRUE; | |
994 | } | |
0b75bef2 | 995 | |
996 | //____________________________________________________________________ | |
3c4b53f0 | 997 | void AliESDtrackCuts::SaveHistograms(const Char_t* dir) { |
998 | // | |
ab2c1f0d | 999 | // saves the histograms in a directory (dir) |
3c4b53f0 | 1000 | // |
ab2c1f0d | 1001 | |
0b75bef2 | 1002 | if (!fHistogramsOn) { |
1003 | AliDebug(0, "Histograms not on - cannot save histograms!!!"); | |
1004 | return; | |
1005 | } | |
1006 | ||
3c4b53f0 | 1007 | if (!dir) |
1008 | dir = GetName(); | |
1009 | ||
0b75bef2 | 1010 | gDirectory->mkdir(dir); |
1011 | gDirectory->cd(dir); | |
1012 | ||
1013 | gDirectory->mkdir("before_cuts"); | |
1014 | gDirectory->mkdir("after_cuts"); | |
1015 | ||
129a66bb | 1016 | // a factor of 2 is needed since n sigma is positive |
1017 | ffDTheoretical->SetParameter(0,2*fhNSigmaToVertex[0]->Integral("width")); | |
1018 | ffDTheoretical->Write("nSigmaToVertexTheory"); | |
1019 | ||
f58f1a93 | 1020 | fhCutStatistics->Write(); |
1021 | fhCutCorrelation->Write(); | |
0b75bef2 | 1022 | |
1023 | for (Int_t i=0; i<2; i++) { | |
1024 | if (i==0) | |
1025 | gDirectory->cd("before_cuts"); | |
1026 | else | |
1027 | gDirectory->cd("after_cuts"); | |
3c4b53f0 | 1028 | |
f58f1a93 | 1029 | fhNClustersITS[i] ->Write(); |
1030 | fhNClustersTPC[i] ->Write(); | |
1031 | fhChi2PerClusterITS[i] ->Write(); | |
1032 | fhChi2PerClusterTPC[i] ->Write(); | |
3c4b53f0 | 1033 | |
f58f1a93 | 1034 | fhC11[i] ->Write(); |
1035 | fhC22[i] ->Write(); | |
1036 | fhC33[i] ->Write(); | |
1037 | fhC44[i] ->Write(); | |
1038 | fhC55[i] ->Write(); | |
1039 | ||
1040 | fhDXY[i] ->Write(); | |
1041 | fhDZ[i] ->Write(); | |
1042 | fhDXYvsDZ[i] ->Write(); | |
3c4b53f0 | 1043 | |
f58f1a93 | 1044 | fhDXYNormalized[i] ->Write(); |
1045 | fhDZNormalized[i] ->Write(); | |
1046 | fhDXYvsDZNormalized[i] ->Write(); | |
129a66bb | 1047 | fhNSigmaToVertex[i] ->Write(); |
0b75bef2 | 1048 | |
1049 | gDirectory->cd("../"); | |
1050 | } | |
1051 | ||
1052 | gDirectory->cd("../"); | |
1053 | } | |
1054 | ||
3c4b53f0 | 1055 | //____________________________________________________________________ |
1056 | void AliESDtrackCuts::DrawHistograms() | |
1057 | { | |
1058 | // draws some histograms | |
1059 | ||
1060 | TCanvas* canvas1 = new TCanvas(Form("%s_1", GetName()), "Track Quality Results1", 800, 800); | |
1061 | canvas1->Divide(2, 2); | |
1062 | ||
1063 | canvas1->cd(1); | |
1064 | fhNClustersTPC[0]->SetStats(kFALSE); | |
1065 | fhNClustersTPC[0]->Draw(); | |
1066 | ||
1067 | canvas1->cd(2); | |
1068 | fhChi2PerClusterTPC[0]->SetStats(kFALSE); | |
1069 | fhChi2PerClusterTPC[0]->Draw(); | |
1070 | ||
1071 | canvas1->cd(3); | |
1072 | fhNSigmaToVertex[0]->SetStats(kFALSE); | |
1073 | fhNSigmaToVertex[0]->GetXaxis()->SetRangeUser(0, 10); | |
1074 | fhNSigmaToVertex[0]->Draw(); | |
1075 | ||
1076 | canvas1->SaveAs(Form("%s_%s.gif", GetName(), canvas1->GetName())); | |
1077 | ||
1078 | TCanvas* canvas2 = new TCanvas(Form("%s_2", GetName()), "Track Quality Results2", 1200, 800); | |
1079 | canvas2->Divide(3, 2); | |
1080 | ||
1081 | canvas2->cd(1); | |
1082 | fhC11[0]->SetStats(kFALSE); | |
1083 | gPad->SetLogy(); | |
1084 | fhC11[0]->Draw(); | |
1085 | ||
1086 | canvas2->cd(2); | |
1087 | fhC22[0]->SetStats(kFALSE); | |
1088 | gPad->SetLogy(); | |
1089 | fhC22[0]->Draw(); | |
1090 | ||
1091 | canvas2->cd(3); | |
1092 | fhC33[0]->SetStats(kFALSE); | |
1093 | gPad->SetLogy(); | |
1094 | fhC33[0]->Draw(); | |
1095 | ||
1096 | canvas2->cd(4); | |
1097 | fhC44[0]->SetStats(kFALSE); | |
1098 | gPad->SetLogy(); | |
1099 | fhC44[0]->Draw(); | |
1100 | ||
1101 | canvas2->cd(5); | |
1102 | fhC55[0]->SetStats(kFALSE); | |
1103 | gPad->SetLogy(); | |
1104 | fhC55[0]->Draw(); | |
1105 | ||
1106 | canvas2->SaveAs(Form("%s_%s.gif", GetName(), canvas2->GetName())); | |
1107 | ||
1108 | TCanvas* canvas3 = new TCanvas(Form("%s_3", GetName()), "Track Quality Results3", 1200, 800); | |
1109 | canvas3->Divide(3, 2); | |
1110 | ||
1111 | canvas3->cd(1); | |
1112 | fhDXY[0]->SetStats(kFALSE); | |
1113 | gPad->SetLogy(); | |
1114 | fhDXY[0]->Draw(); | |
1115 | ||
1116 | canvas3->cd(2); | |
1117 | fhDZ[0]->SetStats(kFALSE); | |
1118 | gPad->SetLogy(); | |
1119 | fhDZ[0]->Draw(); | |
1120 | ||
1121 | canvas3->cd(3); | |
1122 | fhDXYvsDZ[0]->SetStats(kFALSE); | |
1123 | gPad->SetLogz(); | |
1124 | gPad->SetRightMargin(0.15); | |
1125 | fhDXYvsDZ[0]->Draw("COLZ"); | |
1126 | ||
1127 | canvas3->cd(4); | |
1128 | fhDXYNormalized[0]->SetStats(kFALSE); | |
1129 | gPad->SetLogy(); | |
1130 | fhDXYNormalized[0]->Draw(); | |
1131 | ||
1132 | canvas3->cd(5); | |
1133 | fhDZNormalized[0]->SetStats(kFALSE); | |
1134 | gPad->SetLogy(); | |
1135 | fhDZNormalized[0]->Draw(); | |
1136 | ||
1137 | canvas3->cd(6); | |
1138 | fhDXYvsDZNormalized[0]->SetStats(kFALSE); | |
1139 | gPad->SetLogz(); | |
1140 | gPad->SetRightMargin(0.15); | |
1141 | fhDXYvsDZNormalized[0]->Draw("COLZ"); | |
1142 | ||
1143 | canvas3->SaveAs(Form("%s_%s.gif", GetName(), canvas3->GetName())); | |
1144 | ||
1145 | TCanvas* canvas4 = new TCanvas(Form("%s_4", GetName()), "Track Quality Results4", 800, 500); | |
1146 | canvas4->Divide(2, 1); | |
1147 | ||
1148 | canvas4->cd(1); | |
1149 | fhCutStatistics->SetStats(kFALSE); | |
1150 | fhCutStatistics->LabelsOption("v"); | |
1151 | gPad->SetBottomMargin(0.3); | |
1152 | fhCutStatistics->Draw(); | |
1153 | ||
1154 | canvas4->cd(2); | |
1155 | fhCutCorrelation->SetStats(kFALSE); | |
1156 | fhCutCorrelation->LabelsOption("v"); | |
1157 | gPad->SetBottomMargin(0.3); | |
1158 | gPad->SetLeftMargin(0.3); | |
1159 | fhCutCorrelation->Draw("COLZ"); | |
1160 | ||
1161 | canvas4->SaveAs(Form("%s_%s.gif", GetName(), canvas4->GetName())); | |
1162 | ||
1163 | /*canvas->cd(1); | |
1164 | fhDXYvsDZNormalized[0]->SetStats(kFALSE); | |
1165 | fhDXYvsDZNormalized[0]->DrawCopy("COLZ"); | |
1166 | ||
1167 | canvas->cd(2); | |
1168 | fhNClustersTPC[0]->SetStats(kFALSE); | |
1169 | fhNClustersTPC[0]->DrawCopy(); | |
1170 | ||
1171 | canvas->cd(3); | |
1172 | fhChi2PerClusterITS[0]->SetStats(kFALSE); | |
1173 | fhChi2PerClusterITS[0]->DrawCopy(); | |
1174 | fhChi2PerClusterITS[1]->SetLineColor(2); | |
1175 | fhChi2PerClusterITS[1]->DrawCopy("SAME"); | |
1176 | ||
1177 | canvas->cd(4); | |
1178 | fhChi2PerClusterTPC[0]->SetStats(kFALSE); | |
1179 | fhChi2PerClusterTPC[0]->DrawCopy(); | |
1180 | fhChi2PerClusterTPC[1]->SetLineColor(2); | |
1181 | fhChi2PerClusterTPC[1]->DrawCopy("SAME");*/ | |
1182 | } | |
0b75bef2 | 1183 |