]>
Commit | Line | Data |
---|---|---|
73318471 | 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 * | |
74687314 | 8 | * documentation strictly for non-commercial purposes is hereby granted * |
73318471 | 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: AliESDtrackCuts.cxx 24534 2008-03-16 22:22:11Z fca $ */ | |
17 | ||
18 | #include "AliESDtrackCuts.h" | |
19 | ||
20 | #include <AliESDtrack.h> | |
91c88f16 | 21 | #include <AliESDVertex.h> |
73318471 | 22 | #include <AliESDEvent.h> |
23 | #include <AliLog.h> | |
24 | ||
25 | #include <TTree.h> | |
26 | #include <TCanvas.h> | |
27 | #include <TDirectory.h> | |
d95684c0 | 28 | #include <TH2F.h> |
29 | #include <TF1.h> | |
73318471 | 30 | |
31 | //____________________________________________________________________ | |
32 | ClassImp(AliESDtrackCuts) | |
33 | ||
34 | // Cut names | |
35 | const Char_t* AliESDtrackCuts::fgkCutNames[kNCuts] = { | |
36 | "require TPC refit", | |
37 | "require ITS refit", | |
38 | "n clusters TPC", | |
39 | "n clusters ITS", | |
86f0e195 | 40 | "#Chi^{2}/cluster TPC", |
41 | "#Chi^{2}/cluster ITS", | |
73318471 | 42 | "cov 11", |
43 | "cov 22", | |
44 | "cov 33", | |
45 | "cov 44", | |
46 | "cov 55", | |
47 | "trk-to-vtx", | |
48 | "trk-to-vtx failed", | |
49 | "kink daughters", | |
50 | "p", | |
51 | "p_{T}", | |
52 | "p_{x}", | |
53 | "p_{y}", | |
54 | "p_{z}", | |
524916f0 | 55 | "eta", |
86f0e195 | 56 | "y", |
133a5e00 | 57 | "trk-to-vtx max dca 2D absolute", |
58 | "trk-to-vtx max dca xy absolute", | |
59 | "trk-to-vtx max dca z absolute", | |
60 | "trk-to-vtx min dca 2D absolute", | |
61 | "trk-to-vtx min dca xy absolute", | |
62 | "trk-to-vtx min dca z absolute", | |
94c06b89 | 63 | "SPD cluster requirement", |
64 | "SDD cluster requirement", | |
d95684c0 | 65 | "SSD cluster requirement", |
025fb458 | 66 | "require ITS stand-alone", |
67 | "rel 1/pt uncertainty" | |
73318471 | 68 | }; |
69 | ||
70 | //____________________________________________________________________ | |
71 | AliESDtrackCuts::AliESDtrackCuts(const Char_t* name, const Char_t* title) : AliAnalysisCuts(name,title), | |
72 | fCutMinNClusterTPC(0), | |
73 | fCutMinNClusterITS(0), | |
74 | fCutMaxChi2PerClusterTPC(0), | |
75 | fCutMaxChi2PerClusterITS(0), | |
76 | fCutMaxC11(0), | |
77 | fCutMaxC22(0), | |
78 | fCutMaxC33(0), | |
79 | fCutMaxC44(0), | |
80 | fCutMaxC55(0), | |
025fb458 | 81 | fCutMaxRel1PtUncertainty(0), |
73318471 | 82 | fCutAcceptKinkDaughters(0), |
83 | fCutRequireTPCRefit(0), | |
84 | fCutRequireITSRefit(0), | |
d95684c0 | 85 | fCutRequireITSStandAlone(0), |
73318471 | 86 | fCutNsigmaToVertex(0), |
87 | fCutSigmaToVertexRequired(0), | |
133a5e00 | 88 | fCutMaxDCAToVertexXY(0), |
89 | fCutMaxDCAToVertexZ(0), | |
90 | fCutMinDCAToVertexXY(0), | |
91 | fCutMinDCAToVertexZ(0), | |
86f0e195 | 92 | fCutDCAToVertex2D(0), |
73318471 | 93 | fPMin(0), |
94 | fPMax(0), | |
95 | fPtMin(0), | |
96 | fPtMax(0), | |
97 | fPxMin(0), | |
98 | fPxMax(0), | |
99 | fPyMin(0), | |
100 | fPyMax(0), | |
101 | fPzMin(0), | |
102 | fPzMax(0), | |
103 | fEtaMin(0), | |
104 | fEtaMax(0), | |
105 | fRapMin(0), | |
106 | fRapMax(0), | |
107 | fHistogramsOn(0), | |
108 | ffDTheoretical(0), | |
109 | fhCutStatistics(0), | |
110 | fhCutCorrelation(0) | |
111 | { | |
112 | // | |
113 | // constructor | |
114 | // | |
115 | ||
116 | Init(); | |
117 | ||
118 | //############################################################################## | |
119 | // setting default cuts | |
120 | SetMinNClustersTPC(); | |
121 | SetMinNClustersITS(); | |
122 | SetMaxChi2PerClusterTPC(); | |
123 | SetMaxChi2PerClusterITS(); | |
025fb458 | 124 | SetMaxCovDiagonalElements(); |
125 | SetMaxRel1PtUncertainty(); | |
73318471 | 126 | SetRequireTPCRefit(); |
127 | SetRequireITSRefit(); | |
d95684c0 | 128 | SetRequireITSStandAlone(kFALSE); |
58c4f3fb | 129 | SetAcceptKinkDaughters(); |
94c06b89 | 130 | SetMaxNsigmaToVertex(); |
94c06b89 | 131 | SetMaxDCAToVertexXY(); |
132 | SetMaxDCAToVertexZ(); | |
86f0e195 | 133 | SetDCAToVertex2D(); |
133a5e00 | 134 | SetMinDCAToVertexXY(); |
135 | SetMinDCAToVertexZ(); | |
73318471 | 136 | SetPRange(); |
137 | SetPtRange(); | |
138 | SetPxRange(); | |
139 | SetPyRange(); | |
140 | SetPzRange(); | |
141 | SetEtaRange(); | |
142 | SetRapRange(); | |
94c06b89 | 143 | SetClusterRequirementITS(kSPD); |
144 | SetClusterRequirementITS(kSDD); | |
145 | SetClusterRequirementITS(kSSD); | |
73318471 | 146 | |
147 | SetHistogramsOn(); | |
148 | } | |
149 | ||
150 | //_____________________________________________________________________________ | |
151 | AliESDtrackCuts::AliESDtrackCuts(const AliESDtrackCuts &c) : AliAnalysisCuts(c), | |
152 | fCutMinNClusterTPC(0), | |
153 | fCutMinNClusterITS(0), | |
154 | fCutMaxChi2PerClusterTPC(0), | |
155 | fCutMaxChi2PerClusterITS(0), | |
156 | fCutMaxC11(0), | |
157 | fCutMaxC22(0), | |
158 | fCutMaxC33(0), | |
159 | fCutMaxC44(0), | |
160 | fCutMaxC55(0), | |
025fb458 | 161 | fCutMaxRel1PtUncertainty(0), |
73318471 | 162 | fCutAcceptKinkDaughters(0), |
163 | fCutRequireTPCRefit(0), | |
164 | fCutRequireITSRefit(0), | |
d95684c0 | 165 | fCutRequireITSStandAlone(0), |
73318471 | 166 | fCutNsigmaToVertex(0), |
167 | fCutSigmaToVertexRequired(0), | |
133a5e00 | 168 | fCutMaxDCAToVertexXY(0), |
169 | fCutMaxDCAToVertexZ(0), | |
170 | fCutMinDCAToVertexXY(0), | |
171 | fCutMinDCAToVertexZ(0), | |
86f0e195 | 172 | fCutDCAToVertex2D(0), |
73318471 | 173 | fPMin(0), |
174 | fPMax(0), | |
175 | fPtMin(0), | |
176 | fPtMax(0), | |
177 | fPxMin(0), | |
178 | fPxMax(0), | |
179 | fPyMin(0), | |
180 | fPyMax(0), | |
181 | fPzMin(0), | |
182 | fPzMax(0), | |
183 | fEtaMin(0), | |
184 | fEtaMax(0), | |
185 | fRapMin(0), | |
186 | fRapMax(0), | |
187 | fHistogramsOn(0), | |
188 | ffDTheoretical(0), | |
189 | fhCutStatistics(0), | |
190 | fhCutCorrelation(0) | |
191 | { | |
192 | // | |
193 | // copy constructor | |
194 | // | |
195 | ||
196 | ((AliESDtrackCuts &) c).Copy(*this); | |
197 | } | |
198 | ||
199 | AliESDtrackCuts::~AliESDtrackCuts() | |
200 | { | |
201 | // | |
202 | // destructor | |
203 | // | |
204 | ||
205 | for (Int_t i=0; i<2; i++) { | |
206 | ||
207 | if (fhNClustersITS[i]) | |
208 | delete fhNClustersITS[i]; | |
209 | if (fhNClustersTPC[i]) | |
210 | delete fhNClustersTPC[i]; | |
211 | if (fhChi2PerClusterITS[i]) | |
212 | delete fhChi2PerClusterITS[i]; | |
213 | if (fhChi2PerClusterTPC[i]) | |
214 | delete fhChi2PerClusterTPC[i]; | |
215 | if (fhC11[i]) | |
216 | delete fhC11[i]; | |
217 | if (fhC22[i]) | |
218 | delete fhC22[i]; | |
219 | if (fhC33[i]) | |
220 | delete fhC33[i]; | |
221 | if (fhC44[i]) | |
222 | delete fhC44[i]; | |
223 | if (fhC55[i]) | |
025fb458 | 224 | delete fhC55[i]; |
225 | ||
226 | if (fhRel1PtUncertainty[i]) | |
227 | delete fhRel1PtUncertainty[i]; | |
73318471 | 228 | |
229 | if (fhDXY[i]) | |
230 | delete fhDXY[i]; | |
231 | if (fhDZ[i]) | |
524916f0 | 232 | delete fhDZ[i]; |
233 | if (fhDXYDZ[i]) | |
234 | delete fhDXYDZ[i]; | |
73318471 | 235 | if (fhDXYvsDZ[i]) |
524916f0 | 236 | delete fhDXYvsDZ[i]; |
237 | ||
73318471 | 238 | if (fhDXYNormalized[i]) |
239 | delete fhDXYNormalized[i]; | |
240 | if (fhDZNormalized[i]) | |
241 | delete fhDZNormalized[i]; | |
242 | if (fhDXYvsDZNormalized[i]) | |
524916f0 | 243 | delete fhDXYvsDZNormalized[i]; |
73318471 | 244 | if (fhNSigmaToVertex[i]) |
245 | delete fhNSigmaToVertex[i]; | |
246 | if (fhPt[i]) | |
247 | delete fhPt[i]; | |
248 | if (fhEta[i]) | |
249 | delete fhEta[i]; | |
250 | } | |
251 | ||
252 | if (ffDTheoretical) | |
253 | delete ffDTheoretical; | |
254 | ||
255 | if (fhCutStatistics) | |
256 | delete fhCutStatistics; | |
257 | if (fhCutCorrelation) | |
258 | delete fhCutCorrelation; | |
259 | } | |
260 | ||
261 | void AliESDtrackCuts::Init() | |
262 | { | |
263 | // | |
264 | // sets everything to zero | |
265 | // | |
266 | ||
267 | fCutMinNClusterTPC = 0; | |
268 | fCutMinNClusterITS = 0; | |
269 | ||
270 | fCutMaxChi2PerClusterTPC = 0; | |
271 | fCutMaxChi2PerClusterITS = 0; | |
94c06b89 | 272 | |
273 | for (Int_t i = 0; i < 3; i++) | |
274 | fCutClusterRequirementITS[i] = kOff; | |
73318471 | 275 | |
276 | fCutMaxC11 = 0; | |
277 | fCutMaxC22 = 0; | |
278 | fCutMaxC33 = 0; | |
279 | fCutMaxC44 = 0; | |
280 | fCutMaxC55 = 0; | |
025fb458 | 281 | |
282 | fCutMaxRel1PtUncertainty = 0; | |
73318471 | 283 | |
284 | fCutAcceptKinkDaughters = 0; | |
285 | fCutRequireTPCRefit = 0; | |
286 | fCutRequireITSRefit = 0; | |
d95684c0 | 287 | fCutRequireITSStandAlone = 0; |
73318471 | 288 | |
289 | fCutNsigmaToVertex = 0; | |
290 | fCutSigmaToVertexRequired = 0; | |
133a5e00 | 291 | fCutMaxDCAToVertexXY = 0; |
292 | fCutMaxDCAToVertexZ = 0; | |
86f0e195 | 293 | fCutDCAToVertex2D = 0; |
133a5e00 | 294 | fCutMinDCAToVertexXY = 0; |
295 | fCutMinDCAToVertexZ = 0; | |
296 | ||
86f0e195 | 297 | |
73318471 | 298 | fPMin = 0; |
299 | fPMax = 0; | |
300 | fPtMin = 0; | |
301 | fPtMax = 0; | |
302 | fPxMin = 0; | |
303 | fPxMax = 0; | |
304 | fPyMin = 0; | |
305 | fPyMax = 0; | |
306 | fPzMin = 0; | |
307 | fPzMax = 0; | |
308 | fEtaMin = 0; | |
309 | fEtaMax = 0; | |
310 | fRapMin = 0; | |
311 | fRapMax = 0; | |
312 | ||
313 | fHistogramsOn = kFALSE; | |
314 | ||
315 | for (Int_t i=0; i<2; ++i) | |
316 | { | |
317 | fhNClustersITS[i] = 0; | |
318 | fhNClustersTPC[i] = 0; | |
319 | ||
320 | fhChi2PerClusterITS[i] = 0; | |
321 | fhChi2PerClusterTPC[i] = 0; | |
322 | ||
323 | fhC11[i] = 0; | |
324 | fhC22[i] = 0; | |
325 | fhC33[i] = 0; | |
326 | fhC44[i] = 0; | |
327 | fhC55[i] = 0; | |
328 | ||
025fb458 | 329 | fhRel1PtUncertainty[i] = 0; |
330 | ||
73318471 | 331 | fhDXY[i] = 0; |
332 | fhDZ[i] = 0; | |
524916f0 | 333 | fhDXYDZ[i] = 0; |
73318471 | 334 | fhDXYvsDZ[i] = 0; |
335 | ||
336 | fhDXYNormalized[i] = 0; | |
337 | fhDZNormalized[i] = 0; | |
338 | fhDXYvsDZNormalized[i] = 0; | |
339 | fhNSigmaToVertex[i] = 0; | |
340 | ||
341 | fhPt[i] = 0; | |
342 | fhEta[i] = 0; | |
343 | } | |
344 | ffDTheoretical = 0; | |
345 | ||
346 | fhCutStatistics = 0; | |
347 | fhCutCorrelation = 0; | |
348 | } | |
349 | ||
350 | //_____________________________________________________________________________ | |
351 | AliESDtrackCuts &AliESDtrackCuts::operator=(const AliESDtrackCuts &c) | |
352 | { | |
353 | // | |
354 | // Assignment operator | |
355 | // | |
356 | ||
357 | if (this != &c) ((AliESDtrackCuts &) c).Copy(*this); | |
358 | return *this; | |
359 | } | |
360 | ||
361 | //_____________________________________________________________________________ | |
362 | void AliESDtrackCuts::Copy(TObject &c) const | |
363 | { | |
364 | // | |
365 | // Copy function | |
366 | // | |
367 | ||
368 | AliESDtrackCuts& target = (AliESDtrackCuts &) c; | |
369 | ||
370 | target.Init(); | |
371 | ||
372 | target.fCutMinNClusterTPC = fCutMinNClusterTPC; | |
373 | target.fCutMinNClusterITS = fCutMinNClusterITS; | |
374 | ||
375 | target.fCutMaxChi2PerClusterTPC = fCutMaxChi2PerClusterTPC; | |
376 | target.fCutMaxChi2PerClusterITS = fCutMaxChi2PerClusterITS; | |
377 | ||
94c06b89 | 378 | for (Int_t i = 0; i < 3; i++) |
379 | target.fCutClusterRequirementITS[i] = fCutClusterRequirementITS[i]; | |
380 | ||
73318471 | 381 | target.fCutMaxC11 = fCutMaxC11; |
382 | target.fCutMaxC22 = fCutMaxC22; | |
383 | target.fCutMaxC33 = fCutMaxC33; | |
384 | target.fCutMaxC44 = fCutMaxC44; | |
385 | target.fCutMaxC55 = fCutMaxC55; | |
386 | ||
025fb458 | 387 | target.fCutMaxRel1PtUncertainty = fCutMaxRel1PtUncertainty; |
388 | ||
73318471 | 389 | target.fCutAcceptKinkDaughters = fCutAcceptKinkDaughters; |
390 | target.fCutRequireTPCRefit = fCutRequireTPCRefit; | |
391 | target.fCutRequireITSRefit = fCutRequireITSRefit; | |
d95684c0 | 392 | target.fCutRequireITSStandAlone = fCutRequireITSStandAlone; |
73318471 | 393 | |
394 | target.fCutNsigmaToVertex = fCutNsigmaToVertex; | |
395 | target.fCutSigmaToVertexRequired = fCutSigmaToVertexRequired; | |
133a5e00 | 396 | target.fCutMaxDCAToVertexXY = fCutMaxDCAToVertexXY; |
397 | target.fCutMaxDCAToVertexZ = fCutMaxDCAToVertexZ; | |
86f0e195 | 398 | target.fCutDCAToVertex2D = fCutDCAToVertex2D; |
133a5e00 | 399 | target.fCutMinDCAToVertexXY = fCutMinDCAToVertexXY; |
400 | target.fCutMinDCAToVertexZ = fCutMinDCAToVertexZ; | |
73318471 | 401 | |
402 | target.fPMin = fPMin; | |
403 | target.fPMax = fPMax; | |
404 | target.fPtMin = fPtMin; | |
405 | target.fPtMax = fPtMax; | |
406 | target.fPxMin = fPxMin; | |
407 | target.fPxMax = fPxMax; | |
408 | target.fPyMin = fPyMin; | |
409 | target.fPyMax = fPyMax; | |
410 | target.fPzMin = fPzMin; | |
411 | target.fPzMax = fPzMax; | |
412 | target.fEtaMin = fEtaMin; | |
413 | target.fEtaMax = fEtaMax; | |
414 | target.fRapMin = fRapMin; | |
415 | target.fRapMax = fRapMax; | |
416 | ||
417 | target.fHistogramsOn = fHistogramsOn; | |
418 | ||
419 | for (Int_t i=0; i<2; ++i) | |
420 | { | |
421 | if (fhNClustersITS[i]) target.fhNClustersITS[i] = (TH1F*) fhNClustersITS[i]->Clone(); | |
422 | if (fhNClustersTPC[i]) target.fhNClustersTPC[i] = (TH1F*) fhNClustersTPC[i]->Clone(); | |
423 | ||
424 | if (fhChi2PerClusterITS[i]) target.fhChi2PerClusterITS[i] = (TH1F*) fhChi2PerClusterITS[i]->Clone(); | |
425 | if (fhChi2PerClusterTPC[i]) target.fhChi2PerClusterTPC[i] = (TH1F*) fhChi2PerClusterTPC[i]->Clone(); | |
426 | ||
427 | if (fhC11[i]) target.fhC11[i] = (TH1F*) fhC11[i]->Clone(); | |
428 | if (fhC22[i]) target.fhC22[i] = (TH1F*) fhC22[i]->Clone(); | |
429 | if (fhC33[i]) target.fhC33[i] = (TH1F*) fhC33[i]->Clone(); | |
430 | if (fhC44[i]) target.fhC44[i] = (TH1F*) fhC44[i]->Clone(); | |
431 | if (fhC55[i]) target.fhC55[i] = (TH1F*) fhC55[i]->Clone(); | |
432 | ||
025fb458 | 433 | if (fhRel1PtUncertainty[i]) target.fhRel1PtUncertainty[i] = (TH1F*) fhRel1PtUncertainty[i]->Clone(); |
434 | ||
73318471 | 435 | if (fhDXY[i]) target.fhDXY[i] = (TH1F*) fhDXY[i]->Clone(); |
436 | if (fhDZ[i]) target.fhDZ[i] = (TH1F*) fhDZ[i]->Clone(); | |
524916f0 | 437 | if (fhDXYDZ[i]) target.fhDXYDZ[i] = (TH1F*) fhDXYDZ[i]->Clone(); |
73318471 | 438 | if (fhDXYvsDZ[i]) target.fhDXYvsDZ[i] = (TH2F*) fhDXYvsDZ[i]->Clone(); |
439 | ||
440 | if (fhDXYNormalized[i]) target.fhDXYNormalized[i] = (TH1F*) fhDXYNormalized[i]->Clone(); | |
441 | if (fhDZNormalized[i]) target.fhDZNormalized[i] = (TH1F*) fhDZNormalized[i]->Clone(); | |
442 | if (fhDXYvsDZNormalized[i]) target.fhDXYvsDZNormalized[i] = (TH2F*) fhDXYvsDZNormalized[i]->Clone(); | |
443 | if (fhNSigmaToVertex[i]) target.fhNSigmaToVertex[i] = (TH1F*) fhNSigmaToVertex[i]->Clone(); | |
444 | ||
445 | if (fhPt[i]) target.fhPt[i] = (TH1F*) fhPt[i]->Clone(); | |
446 | if (fhEta[i]) target.fhEta[i] = (TH1F*) fhEta[i]->Clone(); | |
447 | } | |
448 | if (ffDTheoretical) target.ffDTheoretical = (TF1*) ffDTheoretical->Clone(); | |
449 | ||
450 | if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone(); | |
451 | if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone(); | |
452 | ||
453 | TNamed::Copy(c); | |
454 | } | |
455 | ||
456 | //_____________________________________________________________________________ | |
457 | Long64_t AliESDtrackCuts::Merge(TCollection* list) { | |
458 | // Merge a list of AliESDtrackCuts objects with this (needed for PROOF) | |
459 | // Returns the number of merged objects (including this) | |
73318471 | 460 | if (!list) |
461 | return 0; | |
73318471 | 462 | if (list->IsEmpty()) |
463 | return 1; | |
73318471 | 464 | if (!fHistogramsOn) |
465 | return 0; | |
73318471 | 466 | TIterator* iter = list->MakeIterator(); |
467 | TObject* obj; | |
468 | ||
73318471 | 469 | // collection of measured and generated histograms |
470 | Int_t count = 0; | |
471 | while ((obj = iter->Next())) { | |
472 | ||
473 | AliESDtrackCuts* entry = dynamic_cast<AliESDtrackCuts*>(obj); | |
474 | if (entry == 0) | |
475 | continue; | |
476 | ||
477 | if (!entry->fHistogramsOn) | |
478 | continue; | |
524916f0 | 479 | |
73318471 | 480 | for (Int_t i=0; i<2; i++) { |
481 | ||
482 | fhNClustersITS[i] ->Add(entry->fhNClustersITS[i] ); | |
483 | fhNClustersTPC[i] ->Add(entry->fhNClustersTPC[i] ); | |
484 | ||
485 | fhChi2PerClusterITS[i] ->Add(entry->fhChi2PerClusterITS[i]); | |
486 | fhChi2PerClusterTPC[i] ->Add(entry->fhChi2PerClusterTPC[i]); | |
487 | ||
488 | fhC11[i] ->Add(entry->fhC11[i] ); | |
489 | fhC22[i] ->Add(entry->fhC22[i] ); | |
490 | fhC33[i] ->Add(entry->fhC33[i] ); | |
491 | fhC44[i] ->Add(entry->fhC44[i] ); | |
025fb458 | 492 | fhC55[i] ->Add(entry->fhC55[i] ); |
493 | ||
494 | fhRel1PtUncertainty[i] ->Add(entry->fhRel1PtUncertainty[i]); | |
73318471 | 495 | |
496 | fhDXY[i] ->Add(entry->fhDXY[i] ); | |
497 | fhDZ[i] ->Add(entry->fhDZ[i] ); | |
524916f0 | 498 | fhDXYDZ[i] ->Add(entry->fhDXYDZ[i] ); |
499 | fhDXYvsDZ[i] ->Add(entry->fhDXYvsDZ[i] ); | |
500 | ||
501 | fhDXYNormalized[i] ->Add(entry->fhDXYNormalized[i] ); | |
73318471 | 502 | fhDZNormalized[i] ->Add(entry->fhDZNormalized[i] ); |
524916f0 | 503 | fhDXYvsDZNormalized[i] ->Add(entry->fhDXYvsDZNormalized[i]); |
73318471 | 504 | fhNSigmaToVertex[i] ->Add(entry->fhNSigmaToVertex[i]); |
505 | ||
506 | fhPt[i] ->Add(entry->fhPt[i]); | |
507 | fhEta[i] ->Add(entry->fhEta[i]); | |
508 | } | |
509 | ||
510 | fhCutStatistics ->Add(entry->fhCutStatistics); | |
511 | fhCutCorrelation ->Add(entry->fhCutCorrelation); | |
512 | ||
513 | count++; | |
514 | } | |
73318471 | 515 | return count+1; |
516 | } | |
517 | ||
518 | ||
519 | //____________________________________________________________________ | |
520 | Float_t AliESDtrackCuts::GetSigmaToVertex(AliESDtrack* esdTrack) | |
521 | { | |
522 | // Calculates the number of sigma to the vertex. | |
523 | ||
524 | Float_t b[2]; | |
525 | Float_t bRes[2]; | |
526 | Float_t bCov[3]; | |
527 | esdTrack->GetImpactParameters(b,bCov); | |
36853ddd | 528 | |
73318471 | 529 | if (bCov[0]<=0 || bCov[2]<=0) { |
57fddfbc | 530 | AliDebugClass(1, "Estimated b resolution lower or equal zero!"); |
73318471 | 531 | bCov[0]=0; bCov[2]=0; |
532 | } | |
533 | bRes[0] = TMath::Sqrt(bCov[0]); | |
534 | bRes[1] = TMath::Sqrt(bCov[2]); | |
535 | ||
536 | // ----------------------------------- | |
537 | // How to get to a n-sigma cut? | |
538 | // | |
539 | // The accumulated statistics from 0 to d is | |
540 | // | |
541 | // -> Erf(d/Sqrt(2)) for a 1-dim gauss (d = n_sigma) | |
542 | // -> 1 - Exp(-d**2) for a 2-dim gauss (d*d = dx*dx + dy*dy != n_sigma) | |
543 | // | |
cae2c21a | 544 | // It means that for a 2-dim gauss: n_sigma(d) = Sqrt(2)*ErfInv(1 - Exp((-d**2)/2) |
73318471 | 545 | // Can this be expressed in a different way? |
546 | ||
547 | if (bRes[0] == 0 || bRes[1] ==0) | |
548 | return -1; | |
549 | ||
550 | Float_t d = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2)); | |
551 | ||
0f712a2e | 552 | // work around precision problem |
73318471 | 553 | // if d is too big, TMath::Exp(...) gets 0, and TMath::ErfInverse(1) that should be infinite, gets 0 :( |
0f712a2e | 554 | // 1e-15 corresponds to nsigma ~ 7.7 |
555 | if (TMath::Exp(-d * d / 2) < 1e-15) | |
73318471 | 556 | return 1000; |
557 | ||
0f712a2e | 558 | Float_t nSigma = TMath::ErfInverse(1 - TMath::Exp(-d * d / 2)) * TMath::Sqrt(2); |
559 | return nSigma; | |
73318471 | 560 | } |
561 | ||
562 | void AliESDtrackCuts::EnableNeededBranches(TTree* tree) | |
563 | { | |
564 | // enables the branches needed by AcceptTrack, for a list see comment of AcceptTrack | |
565 | ||
566 | tree->SetBranchStatus("fTracks.fFlags", 1); | |
567 | tree->SetBranchStatus("fTracks.fITSncls", 1); | |
568 | tree->SetBranchStatus("fTracks.fTPCncls", 1); | |
569 | tree->SetBranchStatus("fTracks.fITSchi2", 1); | |
570 | tree->SetBranchStatus("fTracks.fTPCchi2", 1); | |
571 | tree->SetBranchStatus("fTracks.fC*", 1); | |
572 | tree->SetBranchStatus("fTracks.fD", 1); | |
573 | tree->SetBranchStatus("fTracks.fZ", 1); | |
574 | tree->SetBranchStatus("fTracks.fCdd", 1); | |
575 | tree->SetBranchStatus("fTracks.fCdz", 1); | |
576 | tree->SetBranchStatus("fTracks.fCzz", 1); | |
577 | tree->SetBranchStatus("fTracks.fP*", 1); | |
578 | tree->SetBranchStatus("fTracks.fR*", 1); | |
579 | tree->SetBranchStatus("fTracks.fKinkIndexes*", 1); | |
580 | } | |
581 | ||
582 | //____________________________________________________________________ | |
d95684c0 | 583 | Bool_t AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack) |
584 | { | |
73318471 | 585 | // |
586 | // figure out if the tracks survives all the track cuts defined | |
587 | // | |
588 | // the different quality parameter and kinematic values are first | |
589 | // retrieved from the track. then it is found out what cuts the | |
590 | // track did not survive and finally the cuts are imposed. | |
591 | ||
592 | // this function needs the following branches: | |
593 | // fTracks.fFlags | |
594 | // fTracks.fITSncls | |
595 | // fTracks.fTPCncls | |
596 | // fTracks.fITSchi2 | |
597 | // fTracks.fTPCchi2 | |
598 | // fTracks.fC //GetExternalCovariance | |
599 | // fTracks.fD //GetImpactParameters | |
600 | // fTracks.fZ //GetImpactParameters | |
601 | // fTracks.fCdd //GetImpactParameters | |
602 | // fTracks.fCdz //GetImpactParameters | |
603 | // fTracks.fCzz //GetImpactParameters | |
604 | // fTracks.fP //GetPxPyPz | |
605 | // fTracks.fR //GetMass | |
606 | // fTracks.fP //GetMass | |
607 | // fTracks.fKinkIndexes | |
608 | ||
609 | UInt_t status = esdTrack->GetStatus(); | |
610 | ||
73318471 | 611 | // getting quality parameters from the ESD track |
524916f0 | 612 | Int_t nClustersITS = esdTrack->GetITSclusters(0); |
613 | Int_t nClustersTPC = esdTrack->GetTPCclusters(0); | |
614 | ||
73318471 | 615 | Float_t chi2PerClusterITS = -1; |
616 | Float_t chi2PerClusterTPC = -1; | |
617 | if (nClustersITS!=0) | |
618 | chi2PerClusterITS = esdTrack->GetITSchi2()/Float_t(nClustersITS); | |
619 | if (nClustersTPC!=0) | |
620 | chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC); | |
73318471 | 621 | Double_t extCov[15]; |
622 | esdTrack->GetExternalCovariance(extCov); | |
623 | ||
624 | // getting the track to vertex parameters | |
625 | Float_t nSigmaToVertex = GetSigmaToVertex(esdTrack); | |
524916f0 | 626 | |
627 | Float_t b[2]; | |
628 | Float_t bCov[3]; | |
629 | esdTrack->GetImpactParameters(b,bCov); | |
630 | if (bCov[0]<=0 || bCov[2]<=0) { | |
631 | AliDebug(1, "Estimated b resolution lower or equal zero!"); | |
632 | bCov[0]=0; bCov[2]=0; | |
633 | } | |
74687314 | 634 | |
e4617f4e | 635 | Float_t dcaToVertexXY = b[0]; |
74687314 | 636 | Float_t dcaToVertexZ = b[1]; |
637 | ||
86f0e195 | 638 | Float_t dcaToVertex = -1; |
639 | ||
640 | if (fCutDCAToVertex2D) | |
641 | { | |
133a5e00 | 642 | dcaToVertex = TMath::Sqrt(dcaToVertexXY*dcaToVertexXY/fCutMaxDCAToVertexXY/fCutMaxDCAToVertexXY + dcaToVertexZ*dcaToVertexZ/fCutMaxDCAToVertexZ/fCutMaxDCAToVertexZ); |
86f0e195 | 643 | } |
644 | else | |
645 | dcaToVertex = TMath::Sqrt(dcaToVertexXY*dcaToVertexXY + dcaToVertexZ*dcaToVertexZ); | |
133a5e00 | 646 | |
73318471 | 647 | // getting the kinematic variables of the track |
648 | // (assuming the mass is known) | |
649 | Double_t p[3]; | |
650 | esdTrack->GetPxPyPz(p); | |
36853ddd | 651 | |
73318471 | 652 | Float_t momentum = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2) + TMath::Power(p[2],2)); |
653 | Float_t pt = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2)); | |
654 | Float_t energy = TMath::Sqrt(TMath::Power(esdTrack->GetMass(),2) + TMath::Power(momentum,2)); | |
655 | ||
656 | ||
657 | //y-eta related calculations | |
658 | Float_t eta = -100.; | |
659 | Float_t y = -100.; | |
660 | if((momentum != TMath::Abs(p[2]))&&(momentum != 0)) | |
661 | eta = 0.5*TMath::Log((momentum + p[2])/(momentum - p[2])); | |
662 | if((energy != TMath::Abs(p[2]))&&(momentum != 0)) | |
663 | y = 0.5*TMath::Log((energy + p[2])/(energy - p[2])); | |
025fb458 | 664 | |
665 | Float_t relUncertainty1Pt = TMath::Sqrt(extCov[14])*pt; | |
73318471 | 666 | |
667 | //######################################################################## | |
668 | // cut the track? | |
669 | ||
670 | Bool_t cuts[kNCuts]; | |
671 | for (Int_t i=0; i<kNCuts; i++) cuts[i]=kFALSE; | |
672 | ||
673 | // track quality cuts | |
674 | if (fCutRequireTPCRefit && (status&AliESDtrack::kTPCrefit)==0) | |
675 | cuts[0]=kTRUE; | |
676 | if (fCutRequireITSRefit && (status&AliESDtrack::kITSrefit)==0) | |
677 | cuts[1]=kTRUE; | |
678 | if (nClustersTPC<fCutMinNClusterTPC) | |
679 | cuts[2]=kTRUE; | |
680 | if (nClustersITS<fCutMinNClusterITS) | |
681 | cuts[3]=kTRUE; | |
682 | if (chi2PerClusterTPC>fCutMaxChi2PerClusterTPC) | |
683 | cuts[4]=kTRUE; | |
684 | if (chi2PerClusterITS>fCutMaxChi2PerClusterITS) | |
685 | cuts[5]=kTRUE; | |
686 | if (extCov[0] > fCutMaxC11) | |
687 | cuts[6]=kTRUE; | |
688 | if (extCov[2] > fCutMaxC22) | |
689 | cuts[7]=kTRUE; | |
690 | if (extCov[5] > fCutMaxC33) | |
691 | cuts[8]=kTRUE; | |
692 | if (extCov[9] > fCutMaxC44) | |
693 | cuts[9]=kTRUE; | |
694 | if (extCov[14] > fCutMaxC55) | |
695 | cuts[10]=kTRUE; | |
696 | if (nSigmaToVertex > fCutNsigmaToVertex && fCutSigmaToVertexRequired) | |
697 | cuts[11] = kTRUE; | |
698 | // if n sigma could not be calculated | |
699 | if (nSigmaToVertex<0 && fCutSigmaToVertexRequired) | |
700 | cuts[12]=kTRUE; | |
701 | if (!fCutAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0) | |
702 | cuts[13]=kTRUE; | |
703 | // track kinematics cut | |
704 | if((momentum < fPMin) || (momentum > fPMax)) | |
705 | cuts[14]=kTRUE; | |
706 | if((pt < fPtMin) || (pt > fPtMax)) | |
707 | cuts[15] = kTRUE; | |
708 | if((p[0] < fPxMin) || (p[0] > fPxMax)) | |
709 | cuts[16] = kTRUE; | |
710 | if((p[1] < fPyMin) || (p[1] > fPyMax)) | |
711 | cuts[17] = kTRUE; | |
712 | if((p[2] < fPzMin) || (p[2] > fPzMax)) | |
713 | cuts[18] = kTRUE; | |
0f712a2e | 714 | if((eta < fEtaMin) || (eta > fEtaMax)) |
73318471 | 715 | cuts[19] = kTRUE; |
716 | if((y < fRapMin) || (y > fRapMax)) | |
717 | cuts[20] = kTRUE; | |
86f0e195 | 718 | if (fCutDCAToVertex2D && dcaToVertex > 1) |
524916f0 | 719 | cuts[21] = kTRUE; |
133a5e00 | 720 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexXY) > fCutMaxDCAToVertexXY) |
e4617f4e | 721 | cuts[22] = kTRUE; |
133a5e00 | 722 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexZ) > fCutMaxDCAToVertexZ) |
74687314 | 723 | cuts[23] = kTRUE; |
133a5e00 | 724 | if (fCutDCAToVertex2D && fCutMinDCAToVertexXY > 0 && fCutMinDCAToVertexZ > 0 && dcaToVertexXY*dcaToVertexXY/fCutMinDCAToVertexXY/fCutMinDCAToVertexXY + dcaToVertexZ*dcaToVertexZ/fCutMinDCAToVertexZ/fCutMinDCAToVertexZ < 1) |
725 | cuts[24] = kTRUE; | |
726 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexXY) < fCutMinDCAToVertexXY) | |
727 | cuts[25] = kTRUE; | |
728 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexZ) < fCutMinDCAToVertexZ) | |
729 | cuts[26] = kTRUE; | |
94c06b89 | 730 | |
731 | for (Int_t i = 0; i < 3; i++) | |
133a5e00 | 732 | cuts[27+i] = !CheckITSClusterRequirement(fCutClusterRequirementITS[i], esdTrack->HasPointOnITSLayer(i*2), esdTrack->HasPointOnITSLayer(i*2+1)); |
d95684c0 | 733 | |
91cb8e52 | 734 | if (fCutRequireITSStandAlone && ((status & AliESDtrack::kITSin) == 0 || (status & AliESDtrack::kTPCin))) |
d95684c0 | 735 | cuts[30]=kTRUE; |
736 | ||
025fb458 | 737 | if (relUncertainty1Pt > fCutMaxRel1PtUncertainty) |
738 | cuts[31]=kTRUE; | |
739 | ||
73318471 | 740 | Bool_t cut=kFALSE; |
741 | for (Int_t i=0; i<kNCuts; i++) | |
133a5e00 | 742 | if (cuts[i]) {cut = kTRUE;} |
524916f0 | 743 | |
744 | ||
745 | ||
73318471 | 746 | //######################################################################## |
747 | // filling histograms | |
748 | if (fHistogramsOn) { | |
749 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n tracks"))); | |
73318471 | 750 | if (cut) |
751 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n cut tracks"))); | |
752 | ||
753 | for (Int_t i=0; i<kNCuts; i++) { | |
754 | if (cuts[i]) | |
524916f0 | 755 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin(fgkCutNames[i]))); |
756 | ||
73318471 | 757 | for (Int_t j=i; j<kNCuts; j++) { |
524916f0 | 758 | if (cuts[i] && cuts[j]) { |
759 | Float_t xC = fhCutCorrelation->GetXaxis()->GetBinCenter(fhCutCorrelation->GetXaxis()->FindBin(fgkCutNames[i])); | |
760 | Float_t yC = fhCutCorrelation->GetYaxis()->GetBinCenter(fhCutCorrelation->GetYaxis()->FindBin(fgkCutNames[j])); | |
761 | fhCutCorrelation->Fill(xC, yC); | |
762 | } | |
73318471 | 763 | } |
764 | } | |
73318471 | 765 | } |
766 | ||
524916f0 | 767 | // now we loop over the filling of the histograms twice: once "before" the cut, once "after" |
768 | // the code is not in a function due to too many local variables that would need to be passed | |
73318471 | 769 | |
524916f0 | 770 | for (Int_t id = 0; id < 2; id++) |
771 | { | |
772 | // id = 0 --> before cut | |
773 | // id = 1 --> after cut | |
73318471 | 774 | |
524916f0 | 775 | if (fHistogramsOn) |
73318471 | 776 | { |
524916f0 | 777 | fhNClustersITS[id]->Fill(nClustersITS); |
778 | fhNClustersTPC[id]->Fill(nClustersTPC); | |
779 | fhChi2PerClusterITS[id]->Fill(chi2PerClusterITS); | |
780 | fhChi2PerClusterTPC[id]->Fill(chi2PerClusterTPC); | |
781 | ||
782 | fhC11[id]->Fill(extCov[0]); | |
783 | fhC22[id]->Fill(extCov[2]); | |
784 | fhC33[id]->Fill(extCov[5]); | |
785 | fhC44[id]->Fill(extCov[9]); | |
786 | fhC55[id]->Fill(extCov[14]); | |
787 | ||
025fb458 | 788 | fhRel1PtUncertainty[id]->Fill(relUncertainty1Pt); |
789 | ||
524916f0 | 790 | fhPt[id]->Fill(pt); |
791 | fhEta[id]->Fill(eta); | |
792 | ||
793 | Float_t bRes[2]; | |
794 | bRes[0] = TMath::Sqrt(bCov[0]); | |
795 | bRes[1] = TMath::Sqrt(bCov[2]); | |
796 | ||
797 | fhDZ[id]->Fill(b[1]); | |
798 | fhDXY[id]->Fill(b[0]); | |
799 | fhDXYDZ[id]->Fill(dcaToVertex); | |
800 | fhDXYvsDZ[id]->Fill(b[1],b[0]); | |
801 | ||
802 | if (bRes[0]!=0 && bRes[1]!=0) { | |
803 | fhDZNormalized[id]->Fill(b[1]/bRes[1]); | |
804 | fhDXYNormalized[id]->Fill(b[0]/bRes[0]); | |
805 | fhDXYvsDZNormalized[id]->Fill(b[1]/bRes[1], b[0]/bRes[0]); | |
806 | fhNSigmaToVertex[id]->Fill(nSigmaToVertex); | |
807 | } | |
73318471 | 808 | } |
524916f0 | 809 | |
810 | // cut the track | |
811 | if (cut) | |
812 | return kFALSE; | |
73318471 | 813 | } |
814 | ||
815 | return kTRUE; | |
816 | } | |
817 | ||
94c06b89 | 818 | //____________________________________________________________________ |
819 | Bool_t AliESDtrackCuts::CheckITSClusterRequirement(ITSClusterRequirement req, Bool_t clusterL1, Bool_t clusterL2) | |
820 | { | |
821 | // checks if the cluster requirement is fullfilled (in this case: return kTRUE) | |
822 | ||
823 | switch (req) | |
824 | { | |
825 | case kOff: return kTRUE; | |
826 | case kNone: return !clusterL1 && !clusterL2; | |
827 | case kAny: return clusterL1 || clusterL2; | |
828 | case kFirst: return clusterL1; | |
829 | case kOnlyFirst: return clusterL1 && !clusterL2; | |
830 | case kSecond: return clusterL2; | |
831 | case kOnlySecond: return clusterL2 && !clusterL1; | |
832 | case kBoth: return clusterL1 && clusterL2; | |
833 | } | |
834 | ||
835 | return kFALSE; | |
836 | } | |
837 | ||
73318471 | 838 | //____________________________________________________________________ |
524916f0 | 839 | AliESDtrack* AliESDtrackCuts::GetTPCOnlyTrack(AliESDEvent* esd, Int_t iTrack) |
73318471 | 840 | { |
524916f0 | 841 | // creates a TPC only track from the given esd track |
842 | // the track has to be deleted by the user | |
73318471 | 843 | // |
524916f0 | 844 | // NB. most of the functionality to get a TPC only track from an ESD track is in AliESDtrack, where it should be |
845 | // there are only missing propagations here that are needed for old data | |
846 | // this function will therefore become obsolete | |
73318471 | 847 | // |
524916f0 | 848 | // adapted from code provided by CKB |
73318471 | 849 | |
524916f0 | 850 | if (!esd->GetPrimaryVertexTPC()) |
851 | return 0; // No TPC vertex no TPC tracks | |
73318471 | 852 | |
91c88f16 | 853 | if(!esd->GetPrimaryVertexTPC()->GetStatus()) |
854 | return 0; // TPC Vertex is created by default in AliESDEvent, do not use in this case | |
91c88f16 | 855 | |
524916f0 | 856 | AliESDtrack* track = esd->GetTrack(iTrack); |
857 | if (!track) | |
858 | return 0; | |
36853ddd | 859 | |
524916f0 | 860 | AliESDtrack *tpcTrack = new AliESDtrack(); |
73318471 | 861 | |
524916f0 | 862 | // This should have been done during the reconstruction |
863 | // fixed by Juri in r26675 | |
864 | // but recalculate for older data CKB | |
865 | Float_t p[2],cov[3]; | |
866 | track->GetImpactParametersTPC(p,cov); | |
867 | if(p[0]==0&&p[1]==0) | |
868 | track->RelateToVertexTPC(esd->GetPrimaryVertexTPC(),esd->GetMagneticField(),kVeryBig); | |
869 | // BKC | |
73318471 | 870 | |
524916f0 | 871 | // only true if we have a tpc track |
872 | if (!track->FillTPCOnlyTrack(*tpcTrack)) | |
873 | { | |
874 | delete tpcTrack; | |
875 | return 0; | |
73318471 | 876 | } |
877 | ||
524916f0 | 878 | // propagate to Vertex |
879 | // not needed for normal reconstructed ESDs... | |
880 | // Double_t pTPC[2],covTPC[3]; | |
881 | // tpcTrack->PropagateToDCA(esd->GetPrimaryVertexTPC(), esd->GetMagneticField(), 10000, pTPC, covTPC); | |
882 | ||
883 | return tpcTrack; | |
73318471 | 884 | } |
885 | ||
886 | //____________________________________________________________________ | |
36853ddd | 887 | TObjArray* AliESDtrackCuts::GetAcceptedTracks(AliESDEvent* esd,Bool_t bTPC) |
73318471 | 888 | { |
889 | // | |
890 | // returns an array of all tracks that pass the cuts | |
36853ddd | 891 | // or an array of TPC only tracks (propagated to the TPC vertex during reco) |
892 | // tracks that pass the cut | |
73318471 | 893 | |
894 | TObjArray* acceptedTracks = new TObjArray(); | |
895 | ||
896 | // loop over esd tracks | |
897 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
36853ddd | 898 | if(bTPC){ |
899 | if(!esd->GetPrimaryVertexTPC())return acceptedTracks; // No TPC vertex no TPC tracks | |
91c88f16 | 900 | if(!esd->GetPrimaryVertexTPC()->GetStatus())return acceptedTracks; // No proper TPC vertex, only the default |
36853ddd | 901 | |
524916f0 | 902 | AliESDtrack *tpcTrack = GetTPCOnlyTrack(esd, iTrack); |
903 | if (!tpcTrack) | |
904 | continue; | |
905 | ||
906 | if (AcceptTrack(tpcTrack)) { | |
907 | acceptedTracks->Add(tpcTrack); | |
36853ddd | 908 | } |
524916f0 | 909 | else |
910 | delete tpcTrack; | |
911 | } | |
912 | else | |
913 | { | |
914 | AliESDtrack* track = esd->GetTrack(iTrack); | |
915 | if(AcceptTrack(track)) | |
916 | acceptedTracks->Add(track); | |
36853ddd | 917 | } |
36853ddd | 918 | } |
919 | if(bTPC)acceptedTracks->SetOwner(kTRUE); | |
73318471 | 920 | return acceptedTracks; |
921 | } | |
922 | ||
923 | //____________________________________________________________________ | |
924 | Int_t AliESDtrackCuts::CountAcceptedTracks(AliESDEvent* esd) | |
925 | { | |
926 | // | |
927 | // returns an the number of tracks that pass the cuts | |
928 | // | |
929 | ||
930 | Int_t count = 0; | |
931 | ||
932 | // loop over esd tracks | |
933 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
934 | AliESDtrack* track = esd->GetTrack(iTrack); | |
73318471 | 935 | if (AcceptTrack(track)) |
936 | count++; | |
937 | } | |
938 | ||
939 | return count; | |
940 | } | |
941 | ||
942 | //____________________________________________________________________ | |
943 | void AliESDtrackCuts::DefineHistograms(Int_t color) { | |
944 | // | |
945 | // diagnostics histograms are defined | |
946 | // | |
947 | ||
948 | fHistogramsOn=kTRUE; | |
949 | ||
950 | Bool_t oldStatus = TH1::AddDirectoryStatus(); | |
951 | TH1::AddDirectory(kFALSE); | |
952 | ||
953 | //################################################################################### | |
954 | // defining histograms | |
955 | ||
956 | fhCutStatistics = new TH1F("cut_statistics","cut statistics",kNCuts+4,-0.5,kNCuts+3.5); | |
957 | ||
958 | fhCutStatistics->GetXaxis()->SetBinLabel(1,"n tracks"); | |
959 | fhCutStatistics->GetXaxis()->SetBinLabel(2,"n cut tracks"); | |
960 | ||
961 | fhCutCorrelation = new TH2F("cut_correlation","cut correlation",kNCuts,-0.5,kNCuts-0.5,kNCuts,-0.5,kNCuts-0.5);; | |
962 | ||
963 | for (Int_t i=0; i<kNCuts; i++) { | |
964 | fhCutStatistics->GetXaxis()->SetBinLabel(i+4,fgkCutNames[i]); | |
965 | fhCutCorrelation->GetXaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
966 | fhCutCorrelation->GetYaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
0f712a2e | 967 | } |
73318471 | 968 | |
969 | fhCutStatistics ->SetLineColor(color); | |
970 | fhCutCorrelation ->SetLineColor(color); | |
971 | fhCutStatistics ->SetLineWidth(2); | |
972 | fhCutCorrelation ->SetLineWidth(2); | |
973 | ||
73318471 | 974 | for (Int_t i=0; i<2; i++) { |
524916f0 | 975 | fhNClustersITS[i] = new TH1F("nClustersITS" ,"",8,-0.5,7.5); |
976 | fhNClustersTPC[i] = new TH1F("nClustersTPC" ,"",165,-0.5,164.5); | |
977 | fhChi2PerClusterITS[i] = new TH1F("chi2PerClusterITS","",500,0,10); | |
978 | fhChi2PerClusterTPC[i] = new TH1F("chi2PerClusterTPC","",500,0,10); | |
979 | ||
980 | fhC11[i] = new TH1F("covMatrixDiagonal11","",2000,0,20); | |
981 | fhC22[i] = new TH1F("covMatrixDiagonal22","",2000,0,20); | |
0f712a2e | 982 | fhC33[i] = new TH1F("covMatrixDiagonal33","",1000,0,0.1); |
983 | fhC44[i] = new TH1F("covMatrixDiagonal44","",1000,0,0.1); | |
524916f0 | 984 | fhC55[i] = new TH1F("covMatrixDiagonal55","",1000,0,5); |
985 | ||
025fb458 | 986 | fhRel1PtUncertainty[i] = new TH1F("rel1PtUncertainty","",1000,0,5); |
987 | ||
524916f0 | 988 | fhDXY[i] = new TH1F("dXY" ,"",500,-10,10); |
989 | fhDZ[i] = new TH1F("dZ" ,"",500,-10,10); | |
990 | fhDXYDZ[i] = new TH1F("dXYDZ" ,"",500,0,10); | |
991 | fhDXYvsDZ[i] = new TH2F("dXYvsDZ","",200,-10,10,200,-10,10); | |
992 | ||
993 | fhDXYNormalized[i] = new TH1F("dXYNormalized" ,"",500,-10,10); | |
994 | fhDZNormalized[i] = new TH1F("dZNormalized" ,"",500,-10,10); | |
995 | fhDXYvsDZNormalized[i] = new TH2F("dXYvsDZNormalized","",200,-10,10,200,-10,10); | |
996 | ||
997 | fhNSigmaToVertex[i] = new TH1F("nSigmaToVertex","",500,0,10); | |
998 | ||
86f0e195 | 999 | fhPt[i] = new TH1F("pt" ,"p_{T} distribution;p_{T} (GeV/c)", 800, 0.0, 10.0); |
524916f0 | 1000 | fhEta[i] = new TH1F("eta" ,"#eta distribution;#eta",40,-2.0,2.0); |
73318471 | 1001 | |
1002 | fhNClustersITS[i]->SetTitle("n ITS clusters"); | |
1003 | fhNClustersTPC[i]->SetTitle("n TPC clusters"); | |
1004 | fhChi2PerClusterITS[i]->SetTitle("#Chi^{2} per ITS cluster"); | |
1005 | fhChi2PerClusterTPC[i]->SetTitle("#Chi^{2} per TPC cluster"); | |
1006 | ||
1007 | fhC11[i]->SetTitle("cov 11 : #sigma_{y}^{2} [cm^{2}]"); | |
1008 | fhC22[i]->SetTitle("cov 22 : #sigma_{z}^{2} [cm^{2}]"); | |
1009 | fhC33[i]->SetTitle("cov 33 : #sigma_{sin(#phi)}^{2}"); | |
1010 | fhC44[i]->SetTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}"); | |
1011 | fhC55[i]->SetTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]"); | |
1012 | ||
025fb458 | 1013 | fhRel1PtUncertainty[i]->SetTitle("rel. uncertainty of 1/p_{T}"); |
1014 | ||
86f0e195 | 1015 | fhDXY[i]->SetXTitle("transverse impact parameter (cm)"); |
1016 | fhDZ[i]->SetXTitle("longitudinal impact parameter (cm)"); | |
1017 | fhDXYDZ[i]->SetTitle("absolute impact parameter;sqrt(dXY**2 + dZ**2) (cm)"); | |
1018 | fhDXYvsDZ[i]->SetXTitle("longitudinal impact parameter (cm)"); | |
1019 | fhDXYvsDZ[i]->SetYTitle("transverse impact parameter (cm)"); | |
73318471 | 1020 | |
86f0e195 | 1021 | fhDXYNormalized[i]->SetTitle("normalized trans impact par (n#sigma)"); |
1022 | fhDZNormalized[i]->SetTitle("normalized long impact par (n#sigma)"); | |
1023 | fhDXYvsDZNormalized[i]->SetTitle("normalized long impact par (n#sigma)"); | |
1024 | fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par (n#sigma)"); | |
73318471 | 1025 | fhNSigmaToVertex[i]->SetTitle("n #sigma to vertex"); |
1026 | ||
1027 | fhNClustersITS[i]->SetLineColor(color); fhNClustersITS[i]->SetLineWidth(2); | |
1028 | fhNClustersTPC[i]->SetLineColor(color); fhNClustersTPC[i]->SetLineWidth(2); | |
1029 | fhChi2PerClusterITS[i]->SetLineColor(color); fhChi2PerClusterITS[i]->SetLineWidth(2); | |
1030 | fhChi2PerClusterTPC[i]->SetLineColor(color); fhChi2PerClusterTPC[i]->SetLineWidth(2); | |
1031 | ||
1032 | fhC11[i]->SetLineColor(color); fhC11[i]->SetLineWidth(2); | |
1033 | fhC22[i]->SetLineColor(color); fhC22[i]->SetLineWidth(2); | |
1034 | fhC33[i]->SetLineColor(color); fhC33[i]->SetLineWidth(2); | |
1035 | fhC44[i]->SetLineColor(color); fhC44[i]->SetLineWidth(2); | |
1036 | fhC55[i]->SetLineColor(color); fhC55[i]->SetLineWidth(2); | |
1037 | ||
025fb458 | 1038 | fhRel1PtUncertainty[i]->SetLineColor(color); fhRel1PtUncertainty[i]->SetLineWidth(2); |
1039 | ||
73318471 | 1040 | fhDXY[i]->SetLineColor(color); fhDXY[i]->SetLineWidth(2); |
524916f0 | 1041 | fhDZ[i]->SetLineColor(color); fhDZ[i]->SetLineWidth(2); |
1042 | fhDXYDZ[i]->SetLineColor(color); fhDXYDZ[i]->SetLineWidth(2); | |
73318471 | 1043 | |
1044 | fhDXYNormalized[i]->SetLineColor(color); fhDXYNormalized[i]->SetLineWidth(2); | |
1045 | fhDZNormalized[i]->SetLineColor(color); fhDZNormalized[i]->SetLineWidth(2); | |
1046 | fhNSigmaToVertex[i]->SetLineColor(color); fhNSigmaToVertex[i]->SetLineWidth(2); | |
1047 | } | |
1048 | ||
1049 | // The number of sigmas to the vertex is per definition gaussian | |
1050 | ffDTheoretical = new TF1("nSigmaToVertexTheoretical","([0]/2.506628274)*exp(-(x**2)/2)",0,50); | |
1051 | ffDTheoretical->SetParameter(0,1); | |
524916f0 | 1052 | |
73318471 | 1053 | TH1::AddDirectory(oldStatus); |
1054 | } | |
1055 | ||
1056 | //____________________________________________________________________ | |
1057 | Bool_t AliESDtrackCuts::LoadHistograms(const Char_t* dir) | |
1058 | { | |
1059 | // | |
1060 | // loads the histograms from a file | |
1061 | // if dir is empty a directory with the name of this object is taken (like in SaveHistogram) | |
1062 | // | |
1063 | ||
1064 | if (!dir) | |
1065 | dir = GetName(); | |
1066 | ||
1067 | if (!gDirectory->cd(dir)) | |
1068 | return kFALSE; | |
1069 | ||
1070 | ffDTheoretical = dynamic_cast<TF1*> (gDirectory->Get("nSigmaToVertexTheory")); | |
1071 | ||
1072 | fhCutStatistics = dynamic_cast<TH1F*> (gDirectory->Get("cut_statistics")); | |
1073 | fhCutCorrelation = dynamic_cast<TH2F*> (gDirectory->Get("cut_correlation")); | |
1074 | ||
73318471 | 1075 | for (Int_t i=0; i<2; i++) { |
1076 | if (i==0) | |
1077 | { | |
1078 | gDirectory->cd("before_cuts"); | |
73318471 | 1079 | } |
1080 | else | |
73318471 | 1081 | gDirectory->cd("after_cuts"); |
73318471 | 1082 | |
524916f0 | 1083 | fhNClustersITS[i] = dynamic_cast<TH1F*> (gDirectory->Get("nClustersITS" )); |
1084 | fhNClustersTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get("nClustersTPC" )); | |
1085 | fhChi2PerClusterITS[i] = dynamic_cast<TH1F*> (gDirectory->Get("chi2PerClusterITS")); | |
1086 | fhChi2PerClusterTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get("chi2PerClusterTPC")); | |
73318471 | 1087 | |
524916f0 | 1088 | fhC11[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal11")); |
1089 | fhC22[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal22")); | |
1090 | fhC33[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal33")); | |
1091 | fhC44[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal44")); | |
1092 | fhC55[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal55")); | |
73318471 | 1093 | |
025fb458 | 1094 | fhRel1PtUncertainty[i] = dynamic_cast<TH1F*> (gDirectory->Get("rel1PtUncertainty")); |
1095 | ||
524916f0 | 1096 | fhDXY[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXY" )); |
1097 | fhDZ[i] = dynamic_cast<TH1F*> (gDirectory->Get("dZ" )); | |
1098 | fhDXYDZ[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXYDZ")); | |
1099 | fhDXYvsDZ[i] = dynamic_cast<TH2F*> (gDirectory->Get("dXYvsDZ")); | |
73318471 | 1100 | |
524916f0 | 1101 | fhDXYNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXYNormalized" )); |
1102 | fhDZNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get("dZNormalized" )); | |
1103 | fhDXYvsDZNormalized[i] = dynamic_cast<TH2F*> (gDirectory->Get("dXYvsDZNormalized")); | |
1104 | fhNSigmaToVertex[i] = dynamic_cast<TH1F*> (gDirectory->Get("nSigmaToVertex")); | |
73318471 | 1105 | |
524916f0 | 1106 | fhPt[i] = dynamic_cast<TH1F*> (gDirectory->Get("pt")); |
1107 | fhEta[i] = dynamic_cast<TH1F*> (gDirectory->Get("eta")); | |
73318471 | 1108 | |
1109 | gDirectory->cd("../"); | |
1110 | } | |
1111 | ||
1112 | gDirectory->cd(".."); | |
1113 | ||
1114 | return kTRUE; | |
1115 | } | |
1116 | ||
1117 | //____________________________________________________________________ | |
1118 | void AliESDtrackCuts::SaveHistograms(const Char_t* dir) { | |
1119 | // | |
1120 | // saves the histograms in a directory (dir) | |
1121 | // | |
1122 | ||
1123 | if (!fHistogramsOn) { | |
1124 | AliDebug(0, "Histograms not on - cannot save histograms!!!"); | |
1125 | return; | |
1126 | } | |
1127 | ||
1128 | if (!dir) | |
1129 | dir = GetName(); | |
1130 | ||
1131 | gDirectory->mkdir(dir); | |
1132 | gDirectory->cd(dir); | |
1133 | ||
1134 | gDirectory->mkdir("before_cuts"); | |
1135 | gDirectory->mkdir("after_cuts"); | |
1136 | ||
1137 | // a factor of 2 is needed since n sigma is positive | |
1138 | ffDTheoretical->SetParameter(0,2*fhNSigmaToVertex[0]->Integral("width")); | |
1139 | ffDTheoretical->Write("nSigmaToVertexTheory"); | |
1140 | ||
1141 | fhCutStatistics->Write(); | |
1142 | fhCutCorrelation->Write(); | |
1143 | ||
1144 | for (Int_t i=0; i<2; i++) { | |
1145 | if (i==0) | |
1146 | gDirectory->cd("before_cuts"); | |
1147 | else | |
1148 | gDirectory->cd("after_cuts"); | |
1149 | ||
1150 | fhNClustersITS[i] ->Write(); | |
1151 | fhNClustersTPC[i] ->Write(); | |
1152 | fhChi2PerClusterITS[i] ->Write(); | |
1153 | fhChi2PerClusterTPC[i] ->Write(); | |
1154 | ||
1155 | fhC11[i] ->Write(); | |
1156 | fhC22[i] ->Write(); | |
1157 | fhC33[i] ->Write(); | |
1158 | fhC44[i] ->Write(); | |
1159 | fhC55[i] ->Write(); | |
1160 | ||
025fb458 | 1161 | fhRel1PtUncertainty[i] ->Write(); |
1162 | ||
73318471 | 1163 | fhDXY[i] ->Write(); |
1164 | fhDZ[i] ->Write(); | |
524916f0 | 1165 | fhDXYDZ[i] ->Write(); |
73318471 | 1166 | fhDXYvsDZ[i] ->Write(); |
1167 | ||
1168 | fhDXYNormalized[i] ->Write(); | |
1169 | fhDZNormalized[i] ->Write(); | |
1170 | fhDXYvsDZNormalized[i] ->Write(); | |
1171 | fhNSigmaToVertex[i] ->Write(); | |
1172 | ||
1173 | fhPt[i] ->Write(); | |
1174 | fhEta[i] ->Write(); | |
1175 | ||
1176 | gDirectory->cd("../"); | |
1177 | } | |
1178 | ||
1179 | gDirectory->cd("../"); | |
1180 | } | |
1181 | ||
1182 | //____________________________________________________________________ | |
1183 | void AliESDtrackCuts::DrawHistograms() | |
1184 | { | |
1185 | // draws some histograms | |
1186 | ||
1187 | TCanvas* canvas1 = new TCanvas(Form("%s_1", GetName()), "Track Quality Results1", 800, 800); | |
1188 | canvas1->Divide(2, 2); | |
1189 | ||
1190 | canvas1->cd(1); | |
1191 | fhNClustersTPC[0]->SetStats(kFALSE); | |
1192 | fhNClustersTPC[0]->Draw(); | |
1193 | ||
1194 | canvas1->cd(2); | |
1195 | fhChi2PerClusterTPC[0]->SetStats(kFALSE); | |
1196 | fhChi2PerClusterTPC[0]->Draw(); | |
1197 | ||
1198 | canvas1->cd(3); | |
1199 | fhNSigmaToVertex[0]->SetStats(kFALSE); | |
1200 | fhNSigmaToVertex[0]->GetXaxis()->SetRangeUser(0, 10); | |
1201 | fhNSigmaToVertex[0]->Draw(); | |
1202 | ||
1203 | canvas1->SaveAs(Form("%s_%s.gif", GetName(), canvas1->GetName())); | |
1204 | ||
1205 | TCanvas* canvas2 = new TCanvas(Form("%s_2", GetName()), "Track Quality Results2", 1200, 800); | |
1206 | canvas2->Divide(3, 2); | |
1207 | ||
1208 | canvas2->cd(1); | |
1209 | fhC11[0]->SetStats(kFALSE); | |
1210 | gPad->SetLogy(); | |
1211 | fhC11[0]->Draw(); | |
1212 | ||
1213 | canvas2->cd(2); | |
1214 | fhC22[0]->SetStats(kFALSE); | |
1215 | gPad->SetLogy(); | |
1216 | fhC22[0]->Draw(); | |
1217 | ||
1218 | canvas2->cd(3); | |
1219 | fhC33[0]->SetStats(kFALSE); | |
1220 | gPad->SetLogy(); | |
1221 | fhC33[0]->Draw(); | |
1222 | ||
1223 | canvas2->cd(4); | |
1224 | fhC44[0]->SetStats(kFALSE); | |
1225 | gPad->SetLogy(); | |
1226 | fhC44[0]->Draw(); | |
1227 | ||
1228 | canvas2->cd(5); | |
1229 | fhC55[0]->SetStats(kFALSE); | |
1230 | gPad->SetLogy(); | |
1231 | fhC55[0]->Draw(); | |
1232 | ||
025fb458 | 1233 | canvas2->cd(6); |
1234 | fhRel1PtUncertainty[0]->SetStats(kFALSE); | |
1235 | gPad->SetLogy(); | |
1236 | fhRel1PtUncertainty[0]->Draw(); | |
1237 | ||
73318471 | 1238 | canvas2->SaveAs(Form("%s_%s.gif", GetName(), canvas2->GetName())); |
1239 | ||
1240 | TCanvas* canvas3 = new TCanvas(Form("%s_3", GetName()), "Track Quality Results3", 1200, 800); | |
1241 | canvas3->Divide(3, 2); | |
1242 | ||
1243 | canvas3->cd(1); | |
1244 | fhDXY[0]->SetStats(kFALSE); | |
1245 | gPad->SetLogy(); | |
1246 | fhDXY[0]->Draw(); | |
1247 | ||
1248 | canvas3->cd(2); | |
1249 | fhDZ[0]->SetStats(kFALSE); | |
1250 | gPad->SetLogy(); | |
1251 | fhDZ[0]->Draw(); | |
1252 | ||
1253 | canvas3->cd(3); | |
1254 | fhDXYvsDZ[0]->SetStats(kFALSE); | |
1255 | gPad->SetLogz(); | |
1256 | gPad->SetRightMargin(0.15); | |
1257 | fhDXYvsDZ[0]->Draw("COLZ"); | |
1258 | ||
1259 | canvas3->cd(4); | |
1260 | fhDXYNormalized[0]->SetStats(kFALSE); | |
1261 | gPad->SetLogy(); | |
1262 | fhDXYNormalized[0]->Draw(); | |
1263 | ||
1264 | canvas3->cd(5); | |
1265 | fhDZNormalized[0]->SetStats(kFALSE); | |
1266 | gPad->SetLogy(); | |
1267 | fhDZNormalized[0]->Draw(); | |
1268 | ||
1269 | canvas3->cd(6); | |
1270 | fhDXYvsDZNormalized[0]->SetStats(kFALSE); | |
1271 | gPad->SetLogz(); | |
1272 | gPad->SetRightMargin(0.15); | |
1273 | fhDXYvsDZNormalized[0]->Draw("COLZ"); | |
1274 | ||
1275 | canvas3->SaveAs(Form("%s_%s.gif", GetName(), canvas3->GetName())); | |
1276 | ||
1277 | TCanvas* canvas4 = new TCanvas(Form("%s_4", GetName()), "Track Quality Results4", 800, 500); | |
1278 | canvas4->Divide(2, 1); | |
1279 | ||
1280 | canvas4->cd(1); | |
1281 | fhCutStatistics->SetStats(kFALSE); | |
1282 | fhCutStatistics->LabelsOption("v"); | |
1283 | gPad->SetBottomMargin(0.3); | |
1284 | fhCutStatistics->Draw(); | |
1285 | ||
1286 | canvas4->cd(2); | |
1287 | fhCutCorrelation->SetStats(kFALSE); | |
1288 | fhCutCorrelation->LabelsOption("v"); | |
1289 | gPad->SetBottomMargin(0.3); | |
1290 | gPad->SetLeftMargin(0.3); | |
1291 | fhCutCorrelation->Draw("COLZ"); | |
1292 | ||
1293 | canvas4->SaveAs(Form("%s_%s.gif", GetName(), canvas4->GetName())); | |
1294 | ||
1295 | /*canvas->cd(1); | |
1296 | fhDXYvsDZNormalized[0]->SetStats(kFALSE); | |
1297 | fhDXYvsDZNormalized[0]->DrawCopy("COLZ"); | |
1298 | ||
1299 | canvas->cd(2); | |
1300 | fhNClustersTPC[0]->SetStats(kFALSE); | |
1301 | fhNClustersTPC[0]->DrawCopy(); | |
1302 | ||
1303 | canvas->cd(3); | |
1304 | fhChi2PerClusterITS[0]->SetStats(kFALSE); | |
1305 | fhChi2PerClusterITS[0]->DrawCopy(); | |
1306 | fhChi2PerClusterITS[1]->SetLineColor(2); | |
1307 | fhChi2PerClusterITS[1]->DrawCopy("SAME"); | |
1308 | ||
1309 | canvas->cd(4); | |
1310 | fhChi2PerClusterTPC[0]->SetStats(kFALSE); | |
1311 | fhChi2PerClusterTPC[0]->DrawCopy(); | |
1312 | fhChi2PerClusterTPC[1]->SetLineColor(2); | |
1313 | fhChi2PerClusterTPC[1]->DrawCopy("SAME");*/ | |
1314 | } | |
1315 | ||
94c06b89 | 1316 | Float_t AliESDtrackCuts::GetMinNsigmaToVertex() const |
1317 | { | |
1318 | // deprecated, please use GetMaxNsigmaToVertex | |
1319 | ||
1320 | Printf("WARNING: AliESDtrackCuts::GetMinNsigmaToVertex is DEPRECATED and will be removed in the next release. Please use GetMaxNsigmaToVertex instead. Renaming was done to improve code readability."); | |
1321 | ||
1322 | return GetMaxNsigmaToVertex(); | |
1323 | } | |
1324 | ||
1325 | void AliESDtrackCuts::SetMinNsigmaToVertex(Float_t sigma) | |
1326 | { | |
1327 | // deprecated, will be removed in next release | |
1328 | ||
1329 | Printf("WARNING: AliESDtrackCuts::SetMinNsigmaToVertex is DEPRECATED and will be removed in the next release. Please use SetMaxNsigmaToVertex instead. Renaming was done to improve code readability."); | |
1330 | ||
1331 | SetMaxNsigmaToVertex(sigma); | |
1332 | } | |
1333 | ||
58c4f3fb | 1334 | void AliESDtrackCuts::SetAcceptKingDaughters(Bool_t b) |
94c06b89 | 1335 | { |
1336 | // deprecated, will be removed in next release | |
1337 | ||
58c4f3fb | 1338 | Printf("WARNING: AliESDtrackCuts::SetAcceptKingDaughters is DEPRECATED and will be removed in the next release. Please use SetAcceptKinkDaughters instead. Renaming was done to improve code readability."); |
86f0e195 | 1339 | |
58c4f3fb | 1340 | SetAcceptKinkDaughters(b); |
86f0e195 | 1341 | } |
1342 | ||
58c4f3fb | 1343 | Bool_t AliESDtrackCuts::GetAcceptKingDaughters() const |
94c06b89 | 1344 | { |
1345 | // deprecated, will be removed in next release | |
1346 | ||
58c4f3fb | 1347 | Printf("WARNING: AliESDtrackCuts::GetAcceptKingDaughters is DEPRECATED and will be removed in the next release. Please use GetAcceptKinkDaughters instead. Renaming was done to improve code readability."); |
94c06b89 | 1348 | |
58c4f3fb | 1349 | return GetAcceptKinkDaughters(); |
94c06b89 | 1350 | } |