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