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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", | |
a86cf7f4 | 37 | "require TPC standalone", |
73318471 | 38 | "require ITS refit", |
39 | "n clusters TPC", | |
40 | "n clusters ITS", | |
86f0e195 | 41 | "#Chi^{2}/cluster TPC", |
42 | "#Chi^{2}/cluster ITS", | |
73318471 | 43 | "cov 11", |
44 | "cov 22", | |
45 | "cov 33", | |
46 | "cov 44", | |
47 | "cov 55", | |
48 | "trk-to-vtx", | |
49 | "trk-to-vtx failed", | |
50 | "kink daughters", | |
51 | "p", | |
52 | "p_{T}", | |
53 | "p_{x}", | |
54 | "p_{y}", | |
55 | "p_{z}", | |
524916f0 | 56 | "eta", |
86f0e195 | 57 | "y", |
133a5e00 | 58 | "trk-to-vtx max dca 2D absolute", |
59 | "trk-to-vtx max dca xy absolute", | |
60 | "trk-to-vtx max dca z absolute", | |
61 | "trk-to-vtx min dca 2D absolute", | |
62 | "trk-to-vtx min dca xy absolute", | |
63 | "trk-to-vtx min dca z absolute", | |
94c06b89 | 64 | "SPD cluster requirement", |
65 | "SDD cluster requirement", | |
d95684c0 | 66 | "SSD cluster requirement", |
025fb458 | 67 | "require ITS stand-alone", |
0274b76f | 68 | "rel 1/pt uncertainty", |
69 | "require ITS Pid" | |
73318471 | 70 | }; |
71 | ||
72 | //____________________________________________________________________ | |
73 | AliESDtrackCuts::AliESDtrackCuts(const Char_t* name, const Char_t* title) : AliAnalysisCuts(name,title), | |
74 | fCutMinNClusterTPC(0), | |
75 | fCutMinNClusterITS(0), | |
76 | fCutMaxChi2PerClusterTPC(0), | |
77 | fCutMaxChi2PerClusterITS(0), | |
78 | fCutMaxC11(0), | |
79 | fCutMaxC22(0), | |
80 | fCutMaxC33(0), | |
81 | fCutMaxC44(0), | |
82 | fCutMaxC55(0), | |
025fb458 | 83 | fCutMaxRel1PtUncertainty(0), |
73318471 | 84 | fCutAcceptKinkDaughters(0), |
3128582b | 85 | fCutAcceptSharedTPCClusters(0), |
86 | fCutMaxFractionSharedTPCClusters(0), | |
73318471 | 87 | fCutRequireTPCRefit(0), |
a86cf7f4 | 88 | fCutRequireTPCStandAlone(0), |
0274b76f | 89 | fCutRequireITSRefit(0), |
90 | fCutRequireITSPid(0), | |
d95684c0 | 91 | fCutRequireITSStandAlone(0), |
0274b76f | 92 | fCutRequireITSpureSA(0), |
73318471 | 93 | fCutNsigmaToVertex(0), |
94 | fCutSigmaToVertexRequired(0), | |
133a5e00 | 95 | fCutMaxDCAToVertexXY(0), |
96 | fCutMaxDCAToVertexZ(0), | |
97 | fCutMinDCAToVertexXY(0), | |
98 | fCutMinDCAToVertexZ(0), | |
f4e7aa32 | 99 | fCutMaxDCAToVertexXYPtDep(""), |
100 | fCutMaxDCAToVertexZPtDep(""), | |
101 | fCutMinDCAToVertexXYPtDep(""), | |
102 | fCutMinDCAToVertexZPtDep(""), | |
f328399b | 103 | f1CutMaxDCAToVertexXYPtDep(0x0), |
104 | f1CutMaxDCAToVertexZPtDep(0x0), | |
105 | f1CutMinDCAToVertexXYPtDep(0x0), | |
106 | f1CutMinDCAToVertexZPtDep(0x0), | |
86f0e195 | 107 | fCutDCAToVertex2D(0), |
73318471 | 108 | fPMin(0), |
109 | fPMax(0), | |
110 | fPtMin(0), | |
111 | fPtMax(0), | |
112 | fPxMin(0), | |
113 | fPxMax(0), | |
114 | fPyMin(0), | |
115 | fPyMax(0), | |
116 | fPzMin(0), | |
117 | fPzMax(0), | |
118 | fEtaMin(0), | |
119 | fEtaMax(0), | |
120 | fRapMin(0), | |
121 | fRapMax(0), | |
122 | fHistogramsOn(0), | |
123 | ffDTheoretical(0), | |
124 | fhCutStatistics(0), | |
125 | fhCutCorrelation(0) | |
126 | { | |
127 | // | |
128 | // constructor | |
129 | // | |
130 | ||
131 | Init(); | |
132 | ||
133 | //############################################################################## | |
134 | // setting default cuts | |
135 | SetMinNClustersTPC(); | |
136 | SetMinNClustersITS(); | |
137 | SetMaxChi2PerClusterTPC(); | |
138 | SetMaxChi2PerClusterITS(); | |
025fb458 | 139 | SetMaxCovDiagonalElements(); |
140 | SetMaxRel1PtUncertainty(); | |
73318471 | 141 | SetRequireTPCRefit(); |
a86cf7f4 | 142 | SetRequireTPCStandAlone(); |
73318471 | 143 | SetRequireITSRefit(); |
0274b76f | 144 | SetRequireITSPid(kFALSE); |
d95684c0 | 145 | SetRequireITSStandAlone(kFALSE); |
0274b76f | 146 | SetRequireITSPureStandAlone(kFALSE); |
58c4f3fb | 147 | SetAcceptKinkDaughters(); |
94c06b89 | 148 | SetMaxNsigmaToVertex(); |
94c06b89 | 149 | SetMaxDCAToVertexXY(); |
150 | SetMaxDCAToVertexZ(); | |
86f0e195 | 151 | SetDCAToVertex2D(); |
133a5e00 | 152 | SetMinDCAToVertexXY(); |
153 | SetMinDCAToVertexZ(); | |
73318471 | 154 | SetPRange(); |
155 | SetPtRange(); | |
156 | SetPxRange(); | |
157 | SetPyRange(); | |
158 | SetPzRange(); | |
159 | SetEtaRange(); | |
160 | SetRapRange(); | |
94c06b89 | 161 | SetClusterRequirementITS(kSPD); |
162 | SetClusterRequirementITS(kSDD); | |
163 | SetClusterRequirementITS(kSSD); | |
73318471 | 164 | |
165 | SetHistogramsOn(); | |
166 | } | |
167 | ||
168 | //_____________________________________________________________________________ | |
169 | AliESDtrackCuts::AliESDtrackCuts(const AliESDtrackCuts &c) : AliAnalysisCuts(c), | |
170 | fCutMinNClusterTPC(0), | |
171 | fCutMinNClusterITS(0), | |
172 | fCutMaxChi2PerClusterTPC(0), | |
173 | fCutMaxChi2PerClusterITS(0), | |
174 | fCutMaxC11(0), | |
175 | fCutMaxC22(0), | |
176 | fCutMaxC33(0), | |
177 | fCutMaxC44(0), | |
178 | fCutMaxC55(0), | |
025fb458 | 179 | fCutMaxRel1PtUncertainty(0), |
73318471 | 180 | fCutAcceptKinkDaughters(0), |
3128582b | 181 | fCutAcceptSharedTPCClusters(0), |
182 | fCutMaxFractionSharedTPCClusters(0), | |
73318471 | 183 | fCutRequireTPCRefit(0), |
a86cf7f4 | 184 | fCutRequireTPCStandAlone(0), |
73318471 | 185 | fCutRequireITSRefit(0), |
0274b76f | 186 | fCutRequireITSPid(0), |
d95684c0 | 187 | fCutRequireITSStandAlone(0), |
0274b76f | 188 | fCutRequireITSpureSA(0), |
73318471 | 189 | fCutNsigmaToVertex(0), |
190 | fCutSigmaToVertexRequired(0), | |
133a5e00 | 191 | fCutMaxDCAToVertexXY(0), |
192 | fCutMaxDCAToVertexZ(0), | |
193 | fCutMinDCAToVertexXY(0), | |
194 | fCutMinDCAToVertexZ(0), | |
f4e7aa32 | 195 | fCutMaxDCAToVertexXYPtDep(""), |
196 | fCutMaxDCAToVertexZPtDep(""), | |
197 | fCutMinDCAToVertexXYPtDep(""), | |
198 | fCutMinDCAToVertexZPtDep(""), | |
f328399b | 199 | f1CutMaxDCAToVertexXYPtDep(0x0), |
200 | f1CutMaxDCAToVertexZPtDep(0x0), | |
201 | f1CutMinDCAToVertexXYPtDep(0x0), | |
202 | f1CutMinDCAToVertexZPtDep(0x0), | |
86f0e195 | 203 | fCutDCAToVertex2D(0), |
73318471 | 204 | fPMin(0), |
205 | fPMax(0), | |
206 | fPtMin(0), | |
207 | fPtMax(0), | |
208 | fPxMin(0), | |
209 | fPxMax(0), | |
210 | fPyMin(0), | |
211 | fPyMax(0), | |
212 | fPzMin(0), | |
213 | fPzMax(0), | |
214 | fEtaMin(0), | |
215 | fEtaMax(0), | |
216 | fRapMin(0), | |
217 | fRapMax(0), | |
218 | fHistogramsOn(0), | |
219 | ffDTheoretical(0), | |
220 | fhCutStatistics(0), | |
221 | fhCutCorrelation(0) | |
222 | { | |
223 | // | |
224 | // copy constructor | |
225 | // | |
226 | ||
227 | ((AliESDtrackCuts &) c).Copy(*this); | |
228 | } | |
229 | ||
230 | AliESDtrackCuts::~AliESDtrackCuts() | |
231 | { | |
232 | // | |
233 | // destructor | |
234 | // | |
235 | ||
236 | for (Int_t i=0; i<2; i++) { | |
237 | ||
238 | if (fhNClustersITS[i]) | |
239 | delete fhNClustersITS[i]; | |
240 | if (fhNClustersTPC[i]) | |
241 | delete fhNClustersTPC[i]; | |
242 | if (fhChi2PerClusterITS[i]) | |
243 | delete fhChi2PerClusterITS[i]; | |
244 | if (fhChi2PerClusterTPC[i]) | |
245 | delete fhChi2PerClusterTPC[i]; | |
246 | if (fhC11[i]) | |
247 | delete fhC11[i]; | |
248 | if (fhC22[i]) | |
249 | delete fhC22[i]; | |
250 | if (fhC33[i]) | |
251 | delete fhC33[i]; | |
252 | if (fhC44[i]) | |
253 | delete fhC44[i]; | |
254 | if (fhC55[i]) | |
025fb458 | 255 | delete fhC55[i]; |
256 | ||
257 | if (fhRel1PtUncertainty[i]) | |
258 | delete fhRel1PtUncertainty[i]; | |
73318471 | 259 | |
260 | if (fhDXY[i]) | |
261 | delete fhDXY[i]; | |
262 | if (fhDZ[i]) | |
524916f0 | 263 | delete fhDZ[i]; |
264 | if (fhDXYDZ[i]) | |
265 | delete fhDXYDZ[i]; | |
73318471 | 266 | if (fhDXYvsDZ[i]) |
524916f0 | 267 | delete fhDXYvsDZ[i]; |
268 | ||
73318471 | 269 | if (fhDXYNormalized[i]) |
270 | delete fhDXYNormalized[i]; | |
271 | if (fhDZNormalized[i]) | |
272 | delete fhDZNormalized[i]; | |
273 | if (fhDXYvsDZNormalized[i]) | |
524916f0 | 274 | delete fhDXYvsDZNormalized[i]; |
73318471 | 275 | if (fhNSigmaToVertex[i]) |
276 | delete fhNSigmaToVertex[i]; | |
277 | if (fhPt[i]) | |
278 | delete fhPt[i]; | |
279 | if (fhEta[i]) | |
280 | delete fhEta[i]; | |
281 | } | |
282 | ||
f328399b | 283 | if(f1CutMaxDCAToVertexXYPtDep)delete f1CutMaxDCAToVertexXYPtDep; |
284 | f1CutMaxDCAToVertexXYPtDep = 0; | |
285 | if( f1CutMaxDCAToVertexZPtDep) delete f1CutMaxDCAToVertexZPtDep; | |
286 | f1CutMaxDCAToVertexZPtDep = 0; | |
287 | if( f1CutMinDCAToVertexXYPtDep)delete f1CutMinDCAToVertexXYPtDep; | |
288 | f1CutMinDCAToVertexXYPtDep = 0; | |
289 | if(f1CutMinDCAToVertexZPtDep)delete f1CutMinDCAToVertexZPtDep; | |
290 | f1CutMinDCAToVertexZPtDep = 0; | |
291 | ||
292 | ||
73318471 | 293 | if (ffDTheoretical) |
294 | delete ffDTheoretical; | |
295 | ||
296 | if (fhCutStatistics) | |
297 | delete fhCutStatistics; | |
298 | if (fhCutCorrelation) | |
299 | delete fhCutCorrelation; | |
300 | } | |
301 | ||
302 | void AliESDtrackCuts::Init() | |
303 | { | |
304 | // | |
305 | // sets everything to zero | |
306 | // | |
307 | ||
308 | fCutMinNClusterTPC = 0; | |
309 | fCutMinNClusterITS = 0; | |
310 | ||
311 | fCutMaxChi2PerClusterTPC = 0; | |
312 | fCutMaxChi2PerClusterITS = 0; | |
94c06b89 | 313 | |
314 | for (Int_t i = 0; i < 3; i++) | |
315 | fCutClusterRequirementITS[i] = kOff; | |
73318471 | 316 | |
317 | fCutMaxC11 = 0; | |
318 | fCutMaxC22 = 0; | |
319 | fCutMaxC33 = 0; | |
320 | fCutMaxC44 = 0; | |
321 | fCutMaxC55 = 0; | |
025fb458 | 322 | |
323 | fCutMaxRel1PtUncertainty = 0; | |
73318471 | 324 | |
325 | fCutAcceptKinkDaughters = 0; | |
3128582b | 326 | fCutAcceptSharedTPCClusters = 0; |
327 | fCutMaxFractionSharedTPCClusters = 0; | |
73318471 | 328 | fCutRequireTPCRefit = 0; |
a86cf7f4 | 329 | fCutRequireTPCStandAlone = 0; |
73318471 | 330 | fCutRequireITSRefit = 0; |
0274b76f | 331 | fCutRequireITSPid = 0; |
d95684c0 | 332 | fCutRequireITSStandAlone = 0; |
0274b76f | 333 | fCutRequireITSpureSA = 0; |
73318471 | 334 | |
335 | fCutNsigmaToVertex = 0; | |
336 | fCutSigmaToVertexRequired = 0; | |
133a5e00 | 337 | fCutMaxDCAToVertexXY = 0; |
338 | fCutMaxDCAToVertexZ = 0; | |
86f0e195 | 339 | fCutDCAToVertex2D = 0; |
133a5e00 | 340 | fCutMinDCAToVertexXY = 0; |
341 | fCutMinDCAToVertexZ = 0; | |
f4e7aa32 | 342 | fCutMaxDCAToVertexXYPtDep = ""; |
343 | fCutMaxDCAToVertexZPtDep = ""; | |
344 | fCutMinDCAToVertexXYPtDep = ""; | |
345 | fCutMinDCAToVertexZPtDep = ""; | |
133a5e00 | 346 | |
f328399b | 347 | if(f1CutMaxDCAToVertexXYPtDep)delete f1CutMaxDCAToVertexXYPtDep; |
348 | f1CutMaxDCAToVertexXYPtDep = 0; | |
349 | if( f1CutMaxDCAToVertexXYPtDep) delete f1CutMaxDCAToVertexXYPtDep; | |
350 | f1CutMaxDCAToVertexXYPtDep = 0; | |
351 | if( f1CutMaxDCAToVertexZPtDep) delete f1CutMaxDCAToVertexZPtDep; | |
352 | f1CutMaxDCAToVertexZPtDep = 0; | |
353 | if( f1CutMinDCAToVertexXYPtDep)delete f1CutMinDCAToVertexXYPtDep; | |
354 | f1CutMinDCAToVertexXYPtDep = 0; | |
355 | if(f1CutMinDCAToVertexZPtDep)delete f1CutMinDCAToVertexZPtDep; | |
356 | f1CutMinDCAToVertexZPtDep = 0; | |
357 | ||
86f0e195 | 358 | |
73318471 | 359 | fPMin = 0; |
360 | fPMax = 0; | |
361 | fPtMin = 0; | |
362 | fPtMax = 0; | |
363 | fPxMin = 0; | |
364 | fPxMax = 0; | |
365 | fPyMin = 0; | |
366 | fPyMax = 0; | |
367 | fPzMin = 0; | |
368 | fPzMax = 0; | |
369 | fEtaMin = 0; | |
370 | fEtaMax = 0; | |
371 | fRapMin = 0; | |
372 | fRapMax = 0; | |
373 | ||
374 | fHistogramsOn = kFALSE; | |
375 | ||
376 | for (Int_t i=0; i<2; ++i) | |
377 | { | |
378 | fhNClustersITS[i] = 0; | |
379 | fhNClustersTPC[i] = 0; | |
380 | ||
381 | fhChi2PerClusterITS[i] = 0; | |
382 | fhChi2PerClusterTPC[i] = 0; | |
383 | ||
384 | fhC11[i] = 0; | |
385 | fhC22[i] = 0; | |
386 | fhC33[i] = 0; | |
387 | fhC44[i] = 0; | |
388 | fhC55[i] = 0; | |
389 | ||
025fb458 | 390 | fhRel1PtUncertainty[i] = 0; |
391 | ||
73318471 | 392 | fhDXY[i] = 0; |
393 | fhDZ[i] = 0; | |
524916f0 | 394 | fhDXYDZ[i] = 0; |
73318471 | 395 | fhDXYvsDZ[i] = 0; |
396 | ||
397 | fhDXYNormalized[i] = 0; | |
398 | fhDZNormalized[i] = 0; | |
399 | fhDXYvsDZNormalized[i] = 0; | |
400 | fhNSigmaToVertex[i] = 0; | |
401 | ||
402 | fhPt[i] = 0; | |
403 | fhEta[i] = 0; | |
404 | } | |
405 | ffDTheoretical = 0; | |
406 | ||
407 | fhCutStatistics = 0; | |
408 | fhCutCorrelation = 0; | |
409 | } | |
410 | ||
411 | //_____________________________________________________________________________ | |
412 | AliESDtrackCuts &AliESDtrackCuts::operator=(const AliESDtrackCuts &c) | |
413 | { | |
414 | // | |
415 | // Assignment operator | |
416 | // | |
417 | ||
418 | if (this != &c) ((AliESDtrackCuts &) c).Copy(*this); | |
419 | return *this; | |
420 | } | |
421 | ||
422 | //_____________________________________________________________________________ | |
423 | void AliESDtrackCuts::Copy(TObject &c) const | |
424 | { | |
425 | // | |
426 | // Copy function | |
427 | // | |
428 | ||
429 | AliESDtrackCuts& target = (AliESDtrackCuts &) c; | |
430 | ||
431 | target.Init(); | |
432 | ||
433 | target.fCutMinNClusterTPC = fCutMinNClusterTPC; | |
434 | target.fCutMinNClusterITS = fCutMinNClusterITS; | |
435 | ||
436 | target.fCutMaxChi2PerClusterTPC = fCutMaxChi2PerClusterTPC; | |
437 | target.fCutMaxChi2PerClusterITS = fCutMaxChi2PerClusterITS; | |
438 | ||
94c06b89 | 439 | for (Int_t i = 0; i < 3; i++) |
440 | target.fCutClusterRequirementITS[i] = fCutClusterRequirementITS[i]; | |
441 | ||
73318471 | 442 | target.fCutMaxC11 = fCutMaxC11; |
443 | target.fCutMaxC22 = fCutMaxC22; | |
444 | target.fCutMaxC33 = fCutMaxC33; | |
445 | target.fCutMaxC44 = fCutMaxC44; | |
446 | target.fCutMaxC55 = fCutMaxC55; | |
447 | ||
025fb458 | 448 | target.fCutMaxRel1PtUncertainty = fCutMaxRel1PtUncertainty; |
449 | ||
73318471 | 450 | target.fCutAcceptKinkDaughters = fCutAcceptKinkDaughters; |
3128582b | 451 | target.fCutAcceptSharedTPCClusters = fCutAcceptSharedTPCClusters; |
452 | target.fCutMaxFractionSharedTPCClusters = fCutMaxFractionSharedTPCClusters; | |
73318471 | 453 | target.fCutRequireTPCRefit = fCutRequireTPCRefit; |
a86cf7f4 | 454 | target.fCutRequireTPCStandAlone = fCutRequireTPCStandAlone; |
73318471 | 455 | target.fCutRequireITSRefit = fCutRequireITSRefit; |
0274b76f | 456 | target.fCutRequireITSPid = fCutRequireITSPid; |
d95684c0 | 457 | target.fCutRequireITSStandAlone = fCutRequireITSStandAlone; |
0274b76f | 458 | target.fCutRequireITSpureSA = fCutRequireITSpureSA; |
73318471 | 459 | |
460 | target.fCutNsigmaToVertex = fCutNsigmaToVertex; | |
461 | target.fCutSigmaToVertexRequired = fCutSigmaToVertexRequired; | |
133a5e00 | 462 | target.fCutMaxDCAToVertexXY = fCutMaxDCAToVertexXY; |
463 | target.fCutMaxDCAToVertexZ = fCutMaxDCAToVertexZ; | |
86f0e195 | 464 | target.fCutDCAToVertex2D = fCutDCAToVertex2D; |
133a5e00 | 465 | target.fCutMinDCAToVertexXY = fCutMinDCAToVertexXY; |
466 | target.fCutMinDCAToVertexZ = fCutMinDCAToVertexZ; | |
f328399b | 467 | |
f4e7aa32 | 468 | target.fCutMaxDCAToVertexXYPtDep = fCutMaxDCAToVertexXYPtDep; |
f328399b | 469 | target.SetMaxDCAToVertexXYPtDep(fCutMaxDCAToVertexXYPtDep.Data()); |
470 | ||
f4e7aa32 | 471 | target.fCutMaxDCAToVertexZPtDep = fCutMaxDCAToVertexZPtDep; |
f328399b | 472 | target.SetMaxDCAToVertexZPtDep(fCutMaxDCAToVertexZPtDep.Data()); |
473 | ||
f4e7aa32 | 474 | target.fCutMinDCAToVertexXYPtDep = fCutMinDCAToVertexXYPtDep; |
f328399b | 475 | target.SetMinDCAToVertexXYPtDep(fCutMinDCAToVertexXYPtDep.Data()); |
476 | ||
f4e7aa32 | 477 | target.fCutMinDCAToVertexZPtDep = fCutMinDCAToVertexZPtDep; |
f328399b | 478 | target.SetMinDCAToVertexZPtDep(fCutMinDCAToVertexZPtDep.Data()); |
73318471 | 479 | |
480 | target.fPMin = fPMin; | |
481 | target.fPMax = fPMax; | |
482 | target.fPtMin = fPtMin; | |
483 | target.fPtMax = fPtMax; | |
484 | target.fPxMin = fPxMin; | |
485 | target.fPxMax = fPxMax; | |
486 | target.fPyMin = fPyMin; | |
487 | target.fPyMax = fPyMax; | |
488 | target.fPzMin = fPzMin; | |
489 | target.fPzMax = fPzMax; | |
490 | target.fEtaMin = fEtaMin; | |
491 | target.fEtaMax = fEtaMax; | |
492 | target.fRapMin = fRapMin; | |
493 | target.fRapMax = fRapMax; | |
494 | ||
495 | target.fHistogramsOn = fHistogramsOn; | |
496 | ||
497 | for (Int_t i=0; i<2; ++i) | |
498 | { | |
499 | if (fhNClustersITS[i]) target.fhNClustersITS[i] = (TH1F*) fhNClustersITS[i]->Clone(); | |
500 | if (fhNClustersTPC[i]) target.fhNClustersTPC[i] = (TH1F*) fhNClustersTPC[i]->Clone(); | |
501 | ||
502 | if (fhChi2PerClusterITS[i]) target.fhChi2PerClusterITS[i] = (TH1F*) fhChi2PerClusterITS[i]->Clone(); | |
503 | if (fhChi2PerClusterTPC[i]) target.fhChi2PerClusterTPC[i] = (TH1F*) fhChi2PerClusterTPC[i]->Clone(); | |
504 | ||
505 | if (fhC11[i]) target.fhC11[i] = (TH1F*) fhC11[i]->Clone(); | |
506 | if (fhC22[i]) target.fhC22[i] = (TH1F*) fhC22[i]->Clone(); | |
507 | if (fhC33[i]) target.fhC33[i] = (TH1F*) fhC33[i]->Clone(); | |
508 | if (fhC44[i]) target.fhC44[i] = (TH1F*) fhC44[i]->Clone(); | |
509 | if (fhC55[i]) target.fhC55[i] = (TH1F*) fhC55[i]->Clone(); | |
510 | ||
025fb458 | 511 | if (fhRel1PtUncertainty[i]) target.fhRel1PtUncertainty[i] = (TH1F*) fhRel1PtUncertainty[i]->Clone(); |
512 | ||
73318471 | 513 | if (fhDXY[i]) target.fhDXY[i] = (TH1F*) fhDXY[i]->Clone(); |
514 | if (fhDZ[i]) target.fhDZ[i] = (TH1F*) fhDZ[i]->Clone(); | |
524916f0 | 515 | if (fhDXYDZ[i]) target.fhDXYDZ[i] = (TH1F*) fhDXYDZ[i]->Clone(); |
73318471 | 516 | if (fhDXYvsDZ[i]) target.fhDXYvsDZ[i] = (TH2F*) fhDXYvsDZ[i]->Clone(); |
517 | ||
518 | if (fhDXYNormalized[i]) target.fhDXYNormalized[i] = (TH1F*) fhDXYNormalized[i]->Clone(); | |
519 | if (fhDZNormalized[i]) target.fhDZNormalized[i] = (TH1F*) fhDZNormalized[i]->Clone(); | |
520 | if (fhDXYvsDZNormalized[i]) target.fhDXYvsDZNormalized[i] = (TH2F*) fhDXYvsDZNormalized[i]->Clone(); | |
521 | if (fhNSigmaToVertex[i]) target.fhNSigmaToVertex[i] = (TH1F*) fhNSigmaToVertex[i]->Clone(); | |
522 | ||
523 | if (fhPt[i]) target.fhPt[i] = (TH1F*) fhPt[i]->Clone(); | |
524 | if (fhEta[i]) target.fhEta[i] = (TH1F*) fhEta[i]->Clone(); | |
525 | } | |
526 | if (ffDTheoretical) target.ffDTheoretical = (TF1*) ffDTheoretical->Clone(); | |
527 | ||
528 | if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone(); | |
529 | if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone(); | |
530 | ||
531 | TNamed::Copy(c); | |
532 | } | |
533 | ||
534 | //_____________________________________________________________________________ | |
535 | Long64_t AliESDtrackCuts::Merge(TCollection* list) { | |
536 | // Merge a list of AliESDtrackCuts objects with this (needed for PROOF) | |
537 | // Returns the number of merged objects (including this) | |
73318471 | 538 | if (!list) |
539 | return 0; | |
73318471 | 540 | if (list->IsEmpty()) |
541 | return 1; | |
73318471 | 542 | if (!fHistogramsOn) |
543 | return 0; | |
73318471 | 544 | TIterator* iter = list->MakeIterator(); |
545 | TObject* obj; | |
546 | ||
73318471 | 547 | // collection of measured and generated histograms |
548 | Int_t count = 0; | |
549 | while ((obj = iter->Next())) { | |
550 | ||
551 | AliESDtrackCuts* entry = dynamic_cast<AliESDtrackCuts*>(obj); | |
552 | if (entry == 0) | |
553 | continue; | |
554 | ||
555 | if (!entry->fHistogramsOn) | |
556 | continue; | |
524916f0 | 557 | |
73318471 | 558 | for (Int_t i=0; i<2; i++) { |
559 | ||
560 | fhNClustersITS[i] ->Add(entry->fhNClustersITS[i] ); | |
561 | fhNClustersTPC[i] ->Add(entry->fhNClustersTPC[i] ); | |
562 | ||
563 | fhChi2PerClusterITS[i] ->Add(entry->fhChi2PerClusterITS[i]); | |
564 | fhChi2PerClusterTPC[i] ->Add(entry->fhChi2PerClusterTPC[i]); | |
565 | ||
566 | fhC11[i] ->Add(entry->fhC11[i] ); | |
567 | fhC22[i] ->Add(entry->fhC22[i] ); | |
568 | fhC33[i] ->Add(entry->fhC33[i] ); | |
569 | fhC44[i] ->Add(entry->fhC44[i] ); | |
025fb458 | 570 | fhC55[i] ->Add(entry->fhC55[i] ); |
571 | ||
572 | fhRel1PtUncertainty[i] ->Add(entry->fhRel1PtUncertainty[i]); | |
73318471 | 573 | |
574 | fhDXY[i] ->Add(entry->fhDXY[i] ); | |
575 | fhDZ[i] ->Add(entry->fhDZ[i] ); | |
524916f0 | 576 | fhDXYDZ[i] ->Add(entry->fhDXYDZ[i] ); |
577 | fhDXYvsDZ[i] ->Add(entry->fhDXYvsDZ[i] ); | |
578 | ||
579 | fhDXYNormalized[i] ->Add(entry->fhDXYNormalized[i] ); | |
73318471 | 580 | fhDZNormalized[i] ->Add(entry->fhDZNormalized[i] ); |
524916f0 | 581 | fhDXYvsDZNormalized[i] ->Add(entry->fhDXYvsDZNormalized[i]); |
73318471 | 582 | fhNSigmaToVertex[i] ->Add(entry->fhNSigmaToVertex[i]); |
583 | ||
584 | fhPt[i] ->Add(entry->fhPt[i]); | |
585 | fhEta[i] ->Add(entry->fhEta[i]); | |
586 | } | |
587 | ||
588 | fhCutStatistics ->Add(entry->fhCutStatistics); | |
589 | fhCutCorrelation ->Add(entry->fhCutCorrelation); | |
590 | ||
591 | count++; | |
592 | } | |
73318471 | 593 | return count+1; |
594 | } | |
595 | ||
1bf80d20 | 596 | //____________________________________________________________________ |
597 | AliESDtrackCuts* AliESDtrackCuts::GetStandardTPCOnlyTrackCuts() | |
598 | { | |
ce3be819 | 599 | // creates an AliESDtrackCuts object and fills it with standard (pre data-taking) values for TPC-only cuts |
1bf80d20 | 600 | |
601 | Printf("AliESDtrackCuts::GetStandardTPCOnlyTrackCuts: Creating track cuts for TPC-only."); | |
602 | ||
603 | AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts; | |
604 | ||
605 | esdTrackCuts->SetMinNClustersTPC(50); | |
606 | esdTrackCuts->SetMaxChi2PerClusterTPC(4); | |
607 | esdTrackCuts->SetAcceptKinkDaughters(kFALSE); | |
608 | ||
609 | esdTrackCuts->SetMaxDCAToVertexZ(3.2); | |
610 | esdTrackCuts->SetMaxDCAToVertexXY(2.4); | |
611 | esdTrackCuts->SetDCAToVertex2D(kTRUE); | |
612 | ||
613 | return esdTrackCuts; | |
614 | } | |
615 | ||
f4e7aa32 | 616 | //____________________________________________________________________ |
617 | AliESDtrackCuts* AliESDtrackCuts::GetStandardITSTPCTrackCuts2009(Bool_t selPrimaries) | |
618 | { | |
619 | // creates an AliESDtrackCuts object and fills it with standard values for ITS-TPC cuts for pp 2009 data | |
620 | ||
621 | Printf("AliESDtrackCuts::GetStandardITSTPCTrackCuts: Creating track cuts for ITS+TPC."); | |
622 | ||
623 | AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts; | |
624 | ||
625 | // TPC | |
2dc88643 | 626 | esdTrackCuts->SetRequireTPCStandAlone(kTRUE); // to get chi2 and ncls of kTPCin |
f4e7aa32 | 627 | esdTrackCuts->SetMinNClustersTPC(70); |
628 | esdTrackCuts->SetMaxChi2PerClusterTPC(4); | |
629 | esdTrackCuts->SetAcceptKinkDaughters(kFALSE); | |
ce3be819 | 630 | esdTrackCuts->SetRequireTPCRefit(kTRUE); |
f4e7aa32 | 631 | // ITS |
632 | esdTrackCuts->SetRequireITSRefit(kTRUE); | |
633 | esdTrackCuts->SetClusterRequirementITS(AliESDtrackCuts::kSPD, | |
634 | AliESDtrackCuts::kAny); | |
635 | if(selPrimaries) { | |
636 | // 7*(0.0050+0.0060/pt^0.9) | |
637 | esdTrackCuts->SetMaxDCAToVertexXYPtDep("0.0350+0.0420/pt^0.9"); | |
638 | } | |
639 | esdTrackCuts->SetMaxDCAToVertexZ(1.e6); | |
640 | esdTrackCuts->SetDCAToVertex2D(kFALSE); | |
641 | esdTrackCuts->SetRequireSigmaToVertex(kFALSE); | |
642 | //esdTrackCuts->SetEtaRange(-0.8,+0.8); | |
643 | ||
644 | return esdTrackCuts; | |
645 | } | |
ccfc2389 | 646 | |
647 | //____________________________________________________________________ | |
648 | AliESDtrackCuts* AliESDtrackCuts::GetStandardITSTPCTrackCuts2010(Bool_t selPrimaries) | |
649 | { | |
650 | // creates an AliESDtrackCuts object and fills it with standard values for ITS-TPC cuts for pp 2010 data | |
651 | ||
652 | Printf("AliESDtrackCuts::GetStandardITSTPCTrackCuts: Creating track cuts for ITS+TPC."); | |
653 | ||
654 | AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts; | |
655 | ||
656 | // TPC | |
ccfc2389 | 657 | esdTrackCuts->SetMinNClustersTPC(70); |
658 | esdTrackCuts->SetMaxChi2PerClusterTPC(4); | |
659 | esdTrackCuts->SetAcceptKinkDaughters(kFALSE); | |
660 | esdTrackCuts->SetRequireTPCRefit(kTRUE); | |
661 | // ITS | |
662 | esdTrackCuts->SetRequireITSRefit(kTRUE); | |
663 | esdTrackCuts->SetClusterRequirementITS(AliESDtrackCuts::kSPD, | |
664 | AliESDtrackCuts::kAny); | |
665 | if(selPrimaries) { | |
666 | // 7*(0.0026+0.0050/pt^1.01) | |
667 | esdTrackCuts->SetMaxDCAToVertexXYPtDep("0.0182+0.0350/pt^1.01"); | |
668 | } | |
669 | esdTrackCuts->SetMaxDCAToVertexZ(2); | |
670 | esdTrackCuts->SetDCAToVertex2D(kFALSE); | |
671 | esdTrackCuts->SetRequireSigmaToVertex(kFALSE); | |
ccfc2389 | 672 | |
673 | return esdTrackCuts; | |
674 | } | |
675 | ||
0274b76f | 676 | //____________________________________________________________________ |
677 | AliESDtrackCuts* AliESDtrackCuts::GetStandardITSPureSATrackCuts2009(Bool_t selPrimaries, Bool_t useForPid) | |
678 | { | |
679 | // creates an AliESDtrackCuts object and fills it with standard values for ITS pure SA tracks | |
680 | ||
681 | AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts; | |
682 | esdTrackCuts->SetRequireITSPureStandAlone(kTRUE); | |
683 | esdTrackCuts->SetRequireITSRefit(kTRUE); | |
684 | esdTrackCuts->SetMinNClustersITS(4); | |
685 | esdTrackCuts->SetClusterRequirementITS(AliESDtrackCuts::kSPD, | |
686 | AliESDtrackCuts::kAny); | |
687 | esdTrackCuts->SetMaxChi2PerClusterITS(1.); | |
688 | ||
689 | if(selPrimaries) { | |
690 | // 7*(0.0085+0.0026/pt^1.55) | |
691 | esdTrackCuts->SetMaxDCAToVertexXYPtDep("0.0595+0.0182/pt^1.55"); | |
692 | } | |
693 | if(useForPid){ | |
694 | esdTrackCuts->SetRequireITSPid(kTRUE); | |
695 | } | |
696 | return esdTrackCuts; | |
697 | } | |
ccfc2389 | 698 | |
0274b76f | 699 | //____________________________________________________________________ |
700 | AliESDtrackCuts* AliESDtrackCuts::GetStandardITSSATrackCuts2009(Bool_t selPrimaries, Bool_t useForPid) | |
701 | { | |
702 | // creates an AliESDtrackCuts object and fills it with standard values for ITS pure SA tracks | |
703 | ||
704 | AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts; | |
705 | esdTrackCuts->SetRequireITSStandAlone(kTRUE); | |
706 | esdTrackCuts->SetRequireITSPureStandAlone(kFALSE); | |
707 | esdTrackCuts->SetRequireITSRefit(kTRUE); | |
708 | esdTrackCuts->SetMinNClustersITS(4); | |
709 | esdTrackCuts->SetClusterRequirementITS(AliESDtrackCuts::kSPD, | |
710 | AliESDtrackCuts::kAny); | |
711 | esdTrackCuts->SetMaxChi2PerClusterITS(1.); | |
712 | ||
713 | if(selPrimaries) { | |
714 | // 7*(0.0085+0.0026/pt^1.55) | |
715 | esdTrackCuts->SetMaxDCAToVertexXYPtDep("0.0595+0.0182/pt^1.55"); | |
716 | } | |
717 | if(useForPid){ | |
718 | esdTrackCuts->SetRequireITSPid(kTRUE); | |
719 | } | |
720 | return esdTrackCuts; | |
721 | } | |
722 | ||
f4e7aa32 | 723 | |
1bf80d20 | 724 | //____________________________________________________________________ |
725 | Int_t AliESDtrackCuts::GetReferenceMultiplicity(AliESDEvent* esd, Bool_t tpcOnly) | |
726 | { | |
727 | // Gets reference multiplicity following the standard cuts and a defined fiducial volume | |
728 | // tpcOnly = kTRUE -> consider TPC-only tracks | |
729 | // = kFALSE -> consider global tracks | |
730 | ||
731 | if (!tpcOnly) | |
732 | { | |
733 | Printf("AliESDtrackCuts::GetReferenceMultiplicity: Not implemented for global tracks!"); | |
734 | return -1; | |
735 | } | |
736 | ||
8fb3df98 | 737 | static AliESDtrackCuts* esdTrackCuts = 0; |
738 | if (!esdTrackCuts) | |
739 | { | |
740 | esdTrackCuts = GetStandardTPCOnlyTrackCuts(); | |
741 | esdTrackCuts->SetEtaRange(-0.8, 0.8); | |
742 | esdTrackCuts->SetPtRange(0.15); | |
743 | } | |
1bf80d20 | 744 | |
745 | Int_t nTracks = esdTrackCuts->CountAcceptedTracks(esd); | |
746 | ||
1bf80d20 | 747 | return nTracks; |
748 | } | |
73318471 | 749 | |
750 | //____________________________________________________________________ | |
751 | Float_t AliESDtrackCuts::GetSigmaToVertex(AliESDtrack* esdTrack) | |
752 | { | |
753 | // Calculates the number of sigma to the vertex. | |
754 | ||
755 | Float_t b[2]; | |
756 | Float_t bRes[2]; | |
757 | Float_t bCov[3]; | |
758 | esdTrack->GetImpactParameters(b,bCov); | |
36853ddd | 759 | |
73318471 | 760 | if (bCov[0]<=0 || bCov[2]<=0) { |
57fddfbc | 761 | AliDebugClass(1, "Estimated b resolution lower or equal zero!"); |
73318471 | 762 | bCov[0]=0; bCov[2]=0; |
763 | } | |
764 | bRes[0] = TMath::Sqrt(bCov[0]); | |
765 | bRes[1] = TMath::Sqrt(bCov[2]); | |
766 | ||
767 | // ----------------------------------- | |
768 | // How to get to a n-sigma cut? | |
769 | // | |
770 | // The accumulated statistics from 0 to d is | |
771 | // | |
772 | // -> Erf(d/Sqrt(2)) for a 1-dim gauss (d = n_sigma) | |
773 | // -> 1 - Exp(-d**2) for a 2-dim gauss (d*d = dx*dx + dy*dy != n_sigma) | |
774 | // | |
cae2c21a | 775 | // It means that for a 2-dim gauss: n_sigma(d) = Sqrt(2)*ErfInv(1 - Exp((-d**2)/2) |
73318471 | 776 | // Can this be expressed in a different way? |
777 | ||
778 | if (bRes[0] == 0 || bRes[1] ==0) | |
779 | return -1; | |
780 | ||
781 | Float_t d = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2)); | |
782 | ||
0f712a2e | 783 | // work around precision problem |
73318471 | 784 | // if d is too big, TMath::Exp(...) gets 0, and TMath::ErfInverse(1) that should be infinite, gets 0 :( |
0f712a2e | 785 | // 1e-15 corresponds to nsigma ~ 7.7 |
786 | if (TMath::Exp(-d * d / 2) < 1e-15) | |
73318471 | 787 | return 1000; |
788 | ||
0f712a2e | 789 | Float_t nSigma = TMath::ErfInverse(1 - TMath::Exp(-d * d / 2)) * TMath::Sqrt(2); |
790 | return nSigma; | |
73318471 | 791 | } |
792 | ||
793 | void AliESDtrackCuts::EnableNeededBranches(TTree* tree) | |
794 | { | |
795 | // enables the branches needed by AcceptTrack, for a list see comment of AcceptTrack | |
796 | ||
797 | tree->SetBranchStatus("fTracks.fFlags", 1); | |
798 | tree->SetBranchStatus("fTracks.fITSncls", 1); | |
799 | tree->SetBranchStatus("fTracks.fTPCncls", 1); | |
800 | tree->SetBranchStatus("fTracks.fITSchi2", 1); | |
801 | tree->SetBranchStatus("fTracks.fTPCchi2", 1); | |
802 | tree->SetBranchStatus("fTracks.fC*", 1); | |
803 | tree->SetBranchStatus("fTracks.fD", 1); | |
804 | tree->SetBranchStatus("fTracks.fZ", 1); | |
805 | tree->SetBranchStatus("fTracks.fCdd", 1); | |
806 | tree->SetBranchStatus("fTracks.fCdz", 1); | |
807 | tree->SetBranchStatus("fTracks.fCzz", 1); | |
808 | tree->SetBranchStatus("fTracks.fP*", 1); | |
809 | tree->SetBranchStatus("fTracks.fR*", 1); | |
810 | tree->SetBranchStatus("fTracks.fKinkIndexes*", 1); | |
811 | } | |
812 | ||
813 | //____________________________________________________________________ | |
d95684c0 | 814 | Bool_t AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack) |
815 | { | |
73318471 | 816 | // |
817 | // figure out if the tracks survives all the track cuts defined | |
818 | // | |
819 | // the different quality parameter and kinematic values are first | |
820 | // retrieved from the track. then it is found out what cuts the | |
821 | // track did not survive and finally the cuts are imposed. | |
822 | ||
823 | // this function needs the following branches: | |
824 | // fTracks.fFlags | |
825 | // fTracks.fITSncls | |
826 | // fTracks.fTPCncls | |
827 | // fTracks.fITSchi2 | |
828 | // fTracks.fTPCchi2 | |
829 | // fTracks.fC //GetExternalCovariance | |
830 | // fTracks.fD //GetImpactParameters | |
831 | // fTracks.fZ //GetImpactParameters | |
832 | // fTracks.fCdd //GetImpactParameters | |
833 | // fTracks.fCdz //GetImpactParameters | |
834 | // fTracks.fCzz //GetImpactParameters | |
835 | // fTracks.fP //GetPxPyPz | |
836 | // fTracks.fR //GetMass | |
837 | // fTracks.fP //GetMass | |
838 | // fTracks.fKinkIndexes | |
839 | ||
840 | UInt_t status = esdTrack->GetStatus(); | |
841 | ||
73318471 | 842 | // getting quality parameters from the ESD track |
524916f0 | 843 | Int_t nClustersITS = esdTrack->GetITSclusters(0); |
a86cf7f4 | 844 | Int_t nClustersTPC = -1; |
845 | if(fCutRequireTPCStandAlone) { | |
846 | nClustersTPC = esdTrack->GetTPCNclsIter1(); | |
847 | } | |
848 | else { | |
849 | nClustersTPC = esdTrack->GetTPCclusters(0); | |
850 | } | |
524916f0 | 851 | |
3128582b | 852 | Int_t nClustersTPCShared = esdTrack->GetTPCnclsS(); |
853 | Float_t fracClustersTPCShared = -1.; | |
854 | ||
73318471 | 855 | Float_t chi2PerClusterITS = -1; |
856 | Float_t chi2PerClusterTPC = -1; | |
857 | if (nClustersITS!=0) | |
858 | chi2PerClusterITS = esdTrack->GetITSchi2()/Float_t(nClustersITS); | |
a86cf7f4 | 859 | if (nClustersTPC!=0) { |
860 | if(fCutRequireTPCStandAlone) { | |
861 | chi2PerClusterTPC = esdTrack->GetTPCchi2Iter1()/Float_t(nClustersTPC); | |
862 | } else { | |
863 | chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC); | |
864 | } | |
3128582b | 865 | fracClustersTPCShared = Float_t(nClustersTPCShared)/Float_t(nClustersTPC); |
a86cf7f4 | 866 | } |
867 | ||
73318471 | 868 | Double_t extCov[15]; |
869 | esdTrack->GetExternalCovariance(extCov); | |
870 | ||
871 | // getting the track to vertex parameters | |
872 | Float_t nSigmaToVertex = GetSigmaToVertex(esdTrack); | |
524916f0 | 873 | |
874 | Float_t b[2]; | |
875 | Float_t bCov[3]; | |
876 | esdTrack->GetImpactParameters(b,bCov); | |
877 | if (bCov[0]<=0 || bCov[2]<=0) { | |
878 | AliDebug(1, "Estimated b resolution lower or equal zero!"); | |
879 | bCov[0]=0; bCov[2]=0; | |
880 | } | |
74687314 | 881 | |
f4e7aa32 | 882 | |
883 | // set pt-dependent DCA cuts, if requested | |
884 | SetPtDepDCACuts(esdTrack->Pt()); | |
885 | ||
886 | ||
e4617f4e | 887 | Float_t dcaToVertexXY = b[0]; |
74687314 | 888 | Float_t dcaToVertexZ = b[1]; |
889 | ||
86f0e195 | 890 | Float_t dcaToVertex = -1; |
891 | ||
892 | if (fCutDCAToVertex2D) | |
893 | { | |
133a5e00 | 894 | dcaToVertex = TMath::Sqrt(dcaToVertexXY*dcaToVertexXY/fCutMaxDCAToVertexXY/fCutMaxDCAToVertexXY + dcaToVertexZ*dcaToVertexZ/fCutMaxDCAToVertexZ/fCutMaxDCAToVertexZ); |
86f0e195 | 895 | } |
896 | else | |
897 | dcaToVertex = TMath::Sqrt(dcaToVertexXY*dcaToVertexXY + dcaToVertexZ*dcaToVertexZ); | |
133a5e00 | 898 | |
73318471 | 899 | // getting the kinematic variables of the track |
900 | // (assuming the mass is known) | |
901 | Double_t p[3]; | |
902 | esdTrack->GetPxPyPz(p); | |
36853ddd | 903 | |
73318471 | 904 | Float_t momentum = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2) + TMath::Power(p[2],2)); |
905 | Float_t pt = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2)); | |
906 | Float_t energy = TMath::Sqrt(TMath::Power(esdTrack->GetMass(),2) + TMath::Power(momentum,2)); | |
907 | ||
73318471 | 908 | //y-eta related calculations |
909 | Float_t eta = -100.; | |
910 | Float_t y = -100.; | |
911 | if((momentum != TMath::Abs(p[2]))&&(momentum != 0)) | |
912 | eta = 0.5*TMath::Log((momentum + p[2])/(momentum - p[2])); | |
913 | if((energy != TMath::Abs(p[2]))&&(momentum != 0)) | |
914 | y = 0.5*TMath::Log((energy + p[2])/(energy - p[2])); | |
025fb458 | 915 | |
4853f638 | 916 | if (extCov[14] < 0) |
917 | { | |
918 | Printf("AliESDtrackCuts::AcceptTrack: WARNING: GetSigma1Pt2() returns negative value for external covariance matrix element fC[14]: %f. Corrupted track information, track will not be accepted!", extCov[14]); | |
919 | return kFALSE; | |
920 | } | |
025fb458 | 921 | Float_t relUncertainty1Pt = TMath::Sqrt(extCov[14])*pt; |
73318471 | 922 | |
923 | //######################################################################## | |
924 | // cut the track? | |
925 | ||
926 | Bool_t cuts[kNCuts]; | |
927 | for (Int_t i=0; i<kNCuts; i++) cuts[i]=kFALSE; | |
928 | ||
929 | // track quality cuts | |
930 | if (fCutRequireTPCRefit && (status&AliESDtrack::kTPCrefit)==0) | |
931 | cuts[0]=kTRUE; | |
a86cf7f4 | 932 | if (fCutRequireTPCStandAlone && (status&AliESDtrack::kTPCin)==0) |
73318471 | 933 | cuts[1]=kTRUE; |
a86cf7f4 | 934 | if (fCutRequireITSRefit && (status&AliESDtrack::kITSrefit)==0) |
73318471 | 935 | cuts[2]=kTRUE; |
a86cf7f4 | 936 | if (nClustersTPC<fCutMinNClusterTPC) |
73318471 | 937 | cuts[3]=kTRUE; |
a86cf7f4 | 938 | if (nClustersITS<fCutMinNClusterITS) |
939 | cuts[4]=kTRUE; | |
73318471 | 940 | if (chi2PerClusterTPC>fCutMaxChi2PerClusterTPC) |
a86cf7f4 | 941 | cuts[5]=kTRUE; |
73318471 | 942 | if (chi2PerClusterITS>fCutMaxChi2PerClusterITS) |
a86cf7f4 | 943 | cuts[6]=kTRUE; |
73318471 | 944 | if (extCov[0] > fCutMaxC11) |
73318471 | 945 | cuts[7]=kTRUE; |
a86cf7f4 | 946 | if (extCov[2] > fCutMaxC22) |
73318471 | 947 | cuts[8]=kTRUE; |
a86cf7f4 | 948 | if (extCov[5] > fCutMaxC33) |
73318471 | 949 | cuts[9]=kTRUE; |
a86cf7f4 | 950 | if (extCov[9] > fCutMaxC44) |
73318471 | 951 | cuts[10]=kTRUE; |
a86cf7f4 | 952 | if (extCov[14] > fCutMaxC55) |
953 | cuts[11]=kTRUE; | |
73318471 | 954 | if (nSigmaToVertex > fCutNsigmaToVertex && fCutSigmaToVertexRequired) |
a86cf7f4 | 955 | cuts[12] = kTRUE; |
73318471 | 956 | // if n sigma could not be calculated |
957 | if (nSigmaToVertex<0 && fCutSigmaToVertexRequired) | |
73318471 | 958 | cuts[13]=kTRUE; |
a86cf7f4 | 959 | if (!fCutAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0) |
960 | cuts[14]=kTRUE; | |
73318471 | 961 | // track kinematics cut |
962 | if((momentum < fPMin) || (momentum > fPMax)) | |
a86cf7f4 | 963 | cuts[15]=kTRUE; |
73318471 | 964 | if((pt < fPtMin) || (pt > fPtMax)) |
73318471 | 965 | cuts[16] = kTRUE; |
a86cf7f4 | 966 | if((p[0] < fPxMin) || (p[0] > fPxMax)) |
73318471 | 967 | cuts[17] = kTRUE; |
a86cf7f4 | 968 | if((p[1] < fPyMin) || (p[1] > fPyMax)) |
73318471 | 969 | cuts[18] = kTRUE; |
a86cf7f4 | 970 | if((p[2] < fPzMin) || (p[2] > fPzMax)) |
73318471 | 971 | cuts[19] = kTRUE; |
a86cf7f4 | 972 | if((eta < fEtaMin) || (eta > fEtaMax)) |
73318471 | 973 | cuts[20] = kTRUE; |
a86cf7f4 | 974 | if((y < fRapMin) || (y > fRapMax)) |
524916f0 | 975 | cuts[21] = kTRUE; |
a86cf7f4 | 976 | if (fCutDCAToVertex2D && dcaToVertex > 1) |
e4617f4e | 977 | cuts[22] = kTRUE; |
a86cf7f4 | 978 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexXY) > fCutMaxDCAToVertexXY) |
74687314 | 979 | cuts[23] = kTRUE; |
a86cf7f4 | 980 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexZ) > fCutMaxDCAToVertexZ) |
133a5e00 | 981 | cuts[24] = kTRUE; |
a86cf7f4 | 982 | if (fCutDCAToVertex2D && fCutMinDCAToVertexXY > 0 && fCutMinDCAToVertexZ > 0 && dcaToVertexXY*dcaToVertexXY/fCutMinDCAToVertexXY/fCutMinDCAToVertexXY + dcaToVertexZ*dcaToVertexZ/fCutMinDCAToVertexZ/fCutMinDCAToVertexZ < 1) |
133a5e00 | 983 | cuts[25] = kTRUE; |
a86cf7f4 | 984 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexXY) < fCutMinDCAToVertexXY) |
133a5e00 | 985 | cuts[26] = kTRUE; |
a86cf7f4 | 986 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexZ) < fCutMinDCAToVertexZ) |
987 | cuts[27] = kTRUE; | |
94c06b89 | 988 | |
989 | for (Int_t i = 0; i < 3; i++) | |
a86cf7f4 | 990 | cuts[28+i] = !CheckITSClusterRequirement(fCutClusterRequirementITS[i], esdTrack->HasPointOnITSLayer(i*2), esdTrack->HasPointOnITSLayer(i*2+1)); |
d95684c0 | 991 | |
0274b76f | 992 | if(fCutRequireITSStandAlone || fCutRequireITSpureSA){ |
993 | if ((status & AliESDtrack::kITSin) == 0 || (status & AliESDtrack::kTPCin)){ | |
994 | // TPC tracks | |
995 | cuts[31] = kTRUE; | |
996 | }else{ | |
997 | // ITS standalone tracks | |
998 | if(fCutRequireITSStandAlone && !fCutRequireITSpureSA){ | |
999 | if(status & AliESDtrack::kITSpureSA) cuts[31] = kTRUE; | |
1000 | }else if(fCutRequireITSpureSA){ | |
1001 | if(!(status & AliESDtrack::kITSpureSA)) cuts[31] = kTRUE; | |
1002 | } | |
1003 | } | |
1004 | } | |
f4e7aa32 | 1005 | |
025fb458 | 1006 | if (relUncertainty1Pt > fCutMaxRel1PtUncertainty) |
3128582b | 1007 | cuts[32] = kTRUE; |
1008 | ||
1009 | if (!fCutAcceptSharedTPCClusters && nClustersTPCShared!=0) | |
1010 | cuts[33] = kTRUE; | |
1011 | ||
1012 | if (fracClustersTPCShared > fCutMaxFractionSharedTPCClusters) | |
1013 | cuts[34] = kTRUE; | |
1014 | ||
0274b76f | 1015 | if(fCutRequireITSPid){ |
1016 | UChar_t clumap=esdTrack->GetITSClusterMap(); | |
1017 | Int_t nPointsForPid=0; | |
1018 | for(Int_t i=2; i<6; i++){ | |
1019 | if(clumap&(1<<i)) ++nPointsForPid; | |
1020 | } | |
1021 | if(nPointsForPid<3) cuts[35] = kTRUE; | |
1022 | } | |
1023 | ||
73318471 | 1024 | Bool_t cut=kFALSE; |
1025 | for (Int_t i=0; i<kNCuts; i++) | |
133a5e00 | 1026 | if (cuts[i]) {cut = kTRUE;} |
524916f0 | 1027 | |
1028 | ||
73318471 | 1029 | //######################################################################## |
1030 | // filling histograms | |
1031 | if (fHistogramsOn) { | |
1032 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n tracks"))); | |
73318471 | 1033 | if (cut) |
1034 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n cut tracks"))); | |
1035 | ||
1036 | for (Int_t i=0; i<kNCuts; i++) { | |
1037 | if (cuts[i]) | |
524916f0 | 1038 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin(fgkCutNames[i]))); |
1039 | ||
73318471 | 1040 | for (Int_t j=i; j<kNCuts; j++) { |
524916f0 | 1041 | if (cuts[i] && cuts[j]) { |
1042 | Float_t xC = fhCutCorrelation->GetXaxis()->GetBinCenter(fhCutCorrelation->GetXaxis()->FindBin(fgkCutNames[i])); | |
1043 | Float_t yC = fhCutCorrelation->GetYaxis()->GetBinCenter(fhCutCorrelation->GetYaxis()->FindBin(fgkCutNames[j])); | |
1044 | fhCutCorrelation->Fill(xC, yC); | |
1045 | } | |
73318471 | 1046 | } |
1047 | } | |
73318471 | 1048 | } |
1049 | ||
524916f0 | 1050 | // now we loop over the filling of the histograms twice: once "before" the cut, once "after" |
1051 | // the code is not in a function due to too many local variables that would need to be passed | |
73318471 | 1052 | |
524916f0 | 1053 | for (Int_t id = 0; id < 2; id++) |
1054 | { | |
1055 | // id = 0 --> before cut | |
1056 | // id = 1 --> after cut | |
73318471 | 1057 | |
524916f0 | 1058 | if (fHistogramsOn) |
73318471 | 1059 | { |
524916f0 | 1060 | fhNClustersITS[id]->Fill(nClustersITS); |
1061 | fhNClustersTPC[id]->Fill(nClustersTPC); | |
1062 | fhChi2PerClusterITS[id]->Fill(chi2PerClusterITS); | |
1063 | fhChi2PerClusterTPC[id]->Fill(chi2PerClusterTPC); | |
1064 | ||
1065 | fhC11[id]->Fill(extCov[0]); | |
1066 | fhC22[id]->Fill(extCov[2]); | |
1067 | fhC33[id]->Fill(extCov[5]); | |
1068 | fhC44[id]->Fill(extCov[9]); | |
1069 | fhC55[id]->Fill(extCov[14]); | |
1070 | ||
025fb458 | 1071 | fhRel1PtUncertainty[id]->Fill(relUncertainty1Pt); |
1072 | ||
524916f0 | 1073 | fhPt[id]->Fill(pt); |
1074 | fhEta[id]->Fill(eta); | |
1075 | ||
1076 | Float_t bRes[2]; | |
1077 | bRes[0] = TMath::Sqrt(bCov[0]); | |
1078 | bRes[1] = TMath::Sqrt(bCov[2]); | |
1079 | ||
1080 | fhDZ[id]->Fill(b[1]); | |
1081 | fhDXY[id]->Fill(b[0]); | |
1082 | fhDXYDZ[id]->Fill(dcaToVertex); | |
1083 | fhDXYvsDZ[id]->Fill(b[1],b[0]); | |
1084 | ||
1085 | if (bRes[0]!=0 && bRes[1]!=0) { | |
1086 | fhDZNormalized[id]->Fill(b[1]/bRes[1]); | |
1087 | fhDXYNormalized[id]->Fill(b[0]/bRes[0]); | |
1088 | fhDXYvsDZNormalized[id]->Fill(b[1]/bRes[1], b[0]/bRes[0]); | |
1089 | fhNSigmaToVertex[id]->Fill(nSigmaToVertex); | |
1090 | } | |
73318471 | 1091 | } |
524916f0 | 1092 | |
1093 | // cut the track | |
1094 | if (cut) | |
1095 | return kFALSE; | |
73318471 | 1096 | } |
1097 | ||
1098 | return kTRUE; | |
1099 | } | |
1100 | ||
94c06b89 | 1101 | //____________________________________________________________________ |
1102 | Bool_t AliESDtrackCuts::CheckITSClusterRequirement(ITSClusterRequirement req, Bool_t clusterL1, Bool_t clusterL2) | |
1103 | { | |
1104 | // checks if the cluster requirement is fullfilled (in this case: return kTRUE) | |
1105 | ||
1106 | switch (req) | |
1107 | { | |
1108 | case kOff: return kTRUE; | |
1109 | case kNone: return !clusterL1 && !clusterL2; | |
1110 | case kAny: return clusterL1 || clusterL2; | |
1111 | case kFirst: return clusterL1; | |
1112 | case kOnlyFirst: return clusterL1 && !clusterL2; | |
1113 | case kSecond: return clusterL2; | |
1114 | case kOnlySecond: return clusterL2 && !clusterL1; | |
1115 | case kBoth: return clusterL1 && clusterL2; | |
1116 | } | |
1117 | ||
1118 | return kFALSE; | |
1119 | } | |
1120 | ||
73318471 | 1121 | //____________________________________________________________________ |
524916f0 | 1122 | AliESDtrack* AliESDtrackCuts::GetTPCOnlyTrack(AliESDEvent* esd, Int_t iTrack) |
73318471 | 1123 | { |
b7b857f0 | 1124 | |
1125 | // Utility function to | |
1126 | // create a TPC only track from the given esd track | |
1127 | // | |
1128 | // IMPORTANT: The track has to be deleted by the user | |
73318471 | 1129 | // |
524916f0 | 1130 | // NB. most of the functionality to get a TPC only track from an ESD track is in AliESDtrack, where it should be |
1131 | // there are only missing propagations here that are needed for old data | |
1132 | // this function will therefore become obsolete | |
73318471 | 1133 | // |
524916f0 | 1134 | // adapted from code provided by CKB |
73318471 | 1135 | |
524916f0 | 1136 | if (!esd->GetPrimaryVertexTPC()) |
1137 | return 0; // No TPC vertex no TPC tracks | |
73318471 | 1138 | |
91c88f16 | 1139 | if(!esd->GetPrimaryVertexTPC()->GetStatus()) |
1140 | return 0; // TPC Vertex is created by default in AliESDEvent, do not use in this case | |
91c88f16 | 1141 | |
524916f0 | 1142 | AliESDtrack* track = esd->GetTrack(iTrack); |
1143 | if (!track) | |
1144 | return 0; | |
36853ddd | 1145 | |
524916f0 | 1146 | AliESDtrack *tpcTrack = new AliESDtrack(); |
73318471 | 1147 | |
524916f0 | 1148 | // only true if we have a tpc track |
1149 | if (!track->FillTPCOnlyTrack(*tpcTrack)) | |
1150 | { | |
1151 | delete tpcTrack; | |
1152 | return 0; | |
73318471 | 1153 | } |
1154 | ||
524916f0 | 1155 | // propagate to Vertex |
1156 | // not needed for normal reconstructed ESDs... | |
1157 | // Double_t pTPC[2],covTPC[3]; | |
1158 | // tpcTrack->PropagateToDCA(esd->GetPrimaryVertexTPC(), esd->GetMagneticField(), 10000, pTPC, covTPC); | |
1159 | ||
1160 | return tpcTrack; | |
73318471 | 1161 | } |
1162 | ||
1163 | //____________________________________________________________________ | |
36853ddd | 1164 | TObjArray* AliESDtrackCuts::GetAcceptedTracks(AliESDEvent* esd,Bool_t bTPC) |
73318471 | 1165 | { |
1166 | // | |
1167 | // returns an array of all tracks that pass the cuts | |
36853ddd | 1168 | // or an array of TPC only tracks (propagated to the TPC vertex during reco) |
1169 | // tracks that pass the cut | |
73318471 | 1170 | |
1171 | TObjArray* acceptedTracks = new TObjArray(); | |
1172 | ||
1173 | // loop over esd tracks | |
1174 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
36853ddd | 1175 | if(bTPC){ |
1176 | if(!esd->GetPrimaryVertexTPC())return acceptedTracks; // No TPC vertex no TPC tracks | |
91c88f16 | 1177 | if(!esd->GetPrimaryVertexTPC()->GetStatus())return acceptedTracks; // No proper TPC vertex, only the default |
36853ddd | 1178 | |
524916f0 | 1179 | AliESDtrack *tpcTrack = GetTPCOnlyTrack(esd, iTrack); |
1180 | if (!tpcTrack) | |
1181 | continue; | |
1182 | ||
1183 | if (AcceptTrack(tpcTrack)) { | |
1184 | acceptedTracks->Add(tpcTrack); | |
36853ddd | 1185 | } |
524916f0 | 1186 | else |
1187 | delete tpcTrack; | |
1188 | } | |
1189 | else | |
1190 | { | |
1191 | AliESDtrack* track = esd->GetTrack(iTrack); | |
1192 | if(AcceptTrack(track)) | |
1193 | acceptedTracks->Add(track); | |
36853ddd | 1194 | } |
36853ddd | 1195 | } |
1196 | if(bTPC)acceptedTracks->SetOwner(kTRUE); | |
73318471 | 1197 | return acceptedTracks; |
1198 | } | |
1199 | ||
1200 | //____________________________________________________________________ | |
1201 | Int_t AliESDtrackCuts::CountAcceptedTracks(AliESDEvent* esd) | |
1202 | { | |
1203 | // | |
1204 | // returns an the number of tracks that pass the cuts | |
1205 | // | |
1206 | ||
1207 | Int_t count = 0; | |
1208 | ||
1209 | // loop over esd tracks | |
1210 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
1211 | AliESDtrack* track = esd->GetTrack(iTrack); | |
73318471 | 1212 | if (AcceptTrack(track)) |
1213 | count++; | |
1214 | } | |
1215 | ||
1216 | return count; | |
1217 | } | |
1218 | ||
1219 | //____________________________________________________________________ | |
1220 | void AliESDtrackCuts::DefineHistograms(Int_t color) { | |
1221 | // | |
1222 | // diagnostics histograms are defined | |
1223 | // | |
1224 | ||
1225 | fHistogramsOn=kTRUE; | |
1226 | ||
1227 | Bool_t oldStatus = TH1::AddDirectoryStatus(); | |
1228 | TH1::AddDirectory(kFALSE); | |
1229 | ||
1230 | //################################################################################### | |
1231 | // defining histograms | |
1232 | ||
1233 | fhCutStatistics = new TH1F("cut_statistics","cut statistics",kNCuts+4,-0.5,kNCuts+3.5); | |
1234 | ||
1235 | fhCutStatistics->GetXaxis()->SetBinLabel(1,"n tracks"); | |
1236 | fhCutStatistics->GetXaxis()->SetBinLabel(2,"n cut tracks"); | |
1237 | ||
1238 | fhCutCorrelation = new TH2F("cut_correlation","cut correlation",kNCuts,-0.5,kNCuts-0.5,kNCuts,-0.5,kNCuts-0.5);; | |
1239 | ||
1240 | for (Int_t i=0; i<kNCuts; i++) { | |
1241 | fhCutStatistics->GetXaxis()->SetBinLabel(i+4,fgkCutNames[i]); | |
1242 | fhCutCorrelation->GetXaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
1243 | fhCutCorrelation->GetYaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
0f712a2e | 1244 | } |
73318471 | 1245 | |
1246 | fhCutStatistics ->SetLineColor(color); | |
1247 | fhCutCorrelation ->SetLineColor(color); | |
1248 | fhCutStatistics ->SetLineWidth(2); | |
1249 | fhCutCorrelation ->SetLineWidth(2); | |
1250 | ||
73318471 | 1251 | for (Int_t i=0; i<2; i++) { |
524916f0 | 1252 | fhNClustersITS[i] = new TH1F("nClustersITS" ,"",8,-0.5,7.5); |
1253 | fhNClustersTPC[i] = new TH1F("nClustersTPC" ,"",165,-0.5,164.5); | |
1254 | fhChi2PerClusterITS[i] = new TH1F("chi2PerClusterITS","",500,0,10); | |
1255 | fhChi2PerClusterTPC[i] = new TH1F("chi2PerClusterTPC","",500,0,10); | |
1256 | ||
1257 | fhC11[i] = new TH1F("covMatrixDiagonal11","",2000,0,20); | |
1258 | fhC22[i] = new TH1F("covMatrixDiagonal22","",2000,0,20); | |
0f712a2e | 1259 | fhC33[i] = new TH1F("covMatrixDiagonal33","",1000,0,0.1); |
1260 | fhC44[i] = new TH1F("covMatrixDiagonal44","",1000,0,0.1); | |
524916f0 | 1261 | fhC55[i] = new TH1F("covMatrixDiagonal55","",1000,0,5); |
1262 | ||
025fb458 | 1263 | fhRel1PtUncertainty[i] = new TH1F("rel1PtUncertainty","",1000,0,5); |
1264 | ||
524916f0 | 1265 | fhDXY[i] = new TH1F("dXY" ,"",500,-10,10); |
1266 | fhDZ[i] = new TH1F("dZ" ,"",500,-10,10); | |
1267 | fhDXYDZ[i] = new TH1F("dXYDZ" ,"",500,0,10); | |
1268 | fhDXYvsDZ[i] = new TH2F("dXYvsDZ","",200,-10,10,200,-10,10); | |
1269 | ||
1270 | fhDXYNormalized[i] = new TH1F("dXYNormalized" ,"",500,-10,10); | |
1271 | fhDZNormalized[i] = new TH1F("dZNormalized" ,"",500,-10,10); | |
1272 | fhDXYvsDZNormalized[i] = new TH2F("dXYvsDZNormalized","",200,-10,10,200,-10,10); | |
1273 | ||
1274 | fhNSigmaToVertex[i] = new TH1F("nSigmaToVertex","",500,0,10); | |
1275 | ||
86f0e195 | 1276 | fhPt[i] = new TH1F("pt" ,"p_{T} distribution;p_{T} (GeV/c)", 800, 0.0, 10.0); |
524916f0 | 1277 | fhEta[i] = new TH1F("eta" ,"#eta distribution;#eta",40,-2.0,2.0); |
73318471 | 1278 | |
1279 | fhNClustersITS[i]->SetTitle("n ITS clusters"); | |
1280 | fhNClustersTPC[i]->SetTitle("n TPC clusters"); | |
1281 | fhChi2PerClusterITS[i]->SetTitle("#Chi^{2} per ITS cluster"); | |
1282 | fhChi2PerClusterTPC[i]->SetTitle("#Chi^{2} per TPC cluster"); | |
1283 | ||
1284 | fhC11[i]->SetTitle("cov 11 : #sigma_{y}^{2} [cm^{2}]"); | |
1285 | fhC22[i]->SetTitle("cov 22 : #sigma_{z}^{2} [cm^{2}]"); | |
1286 | fhC33[i]->SetTitle("cov 33 : #sigma_{sin(#phi)}^{2}"); | |
1287 | fhC44[i]->SetTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}"); | |
1288 | fhC55[i]->SetTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]"); | |
1289 | ||
025fb458 | 1290 | fhRel1PtUncertainty[i]->SetTitle("rel. uncertainty of 1/p_{T}"); |
1291 | ||
86f0e195 | 1292 | fhDXY[i]->SetXTitle("transverse impact parameter (cm)"); |
1293 | fhDZ[i]->SetXTitle("longitudinal impact parameter (cm)"); | |
1294 | fhDXYDZ[i]->SetTitle("absolute impact parameter;sqrt(dXY**2 + dZ**2) (cm)"); | |
1295 | fhDXYvsDZ[i]->SetXTitle("longitudinal impact parameter (cm)"); | |
1296 | fhDXYvsDZ[i]->SetYTitle("transverse impact parameter (cm)"); | |
73318471 | 1297 | |
86f0e195 | 1298 | fhDXYNormalized[i]->SetTitle("normalized trans impact par (n#sigma)"); |
1299 | fhDZNormalized[i]->SetTitle("normalized long impact par (n#sigma)"); | |
1300 | fhDXYvsDZNormalized[i]->SetTitle("normalized long impact par (n#sigma)"); | |
1301 | fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par (n#sigma)"); | |
73318471 | 1302 | fhNSigmaToVertex[i]->SetTitle("n #sigma to vertex"); |
1303 | ||
1304 | fhNClustersITS[i]->SetLineColor(color); fhNClustersITS[i]->SetLineWidth(2); | |
1305 | fhNClustersTPC[i]->SetLineColor(color); fhNClustersTPC[i]->SetLineWidth(2); | |
1306 | fhChi2PerClusterITS[i]->SetLineColor(color); fhChi2PerClusterITS[i]->SetLineWidth(2); | |
1307 | fhChi2PerClusterTPC[i]->SetLineColor(color); fhChi2PerClusterTPC[i]->SetLineWidth(2); | |
1308 | ||
1309 | fhC11[i]->SetLineColor(color); fhC11[i]->SetLineWidth(2); | |
1310 | fhC22[i]->SetLineColor(color); fhC22[i]->SetLineWidth(2); | |
1311 | fhC33[i]->SetLineColor(color); fhC33[i]->SetLineWidth(2); | |
1312 | fhC44[i]->SetLineColor(color); fhC44[i]->SetLineWidth(2); | |
1313 | fhC55[i]->SetLineColor(color); fhC55[i]->SetLineWidth(2); | |
1314 | ||
025fb458 | 1315 | fhRel1PtUncertainty[i]->SetLineColor(color); fhRel1PtUncertainty[i]->SetLineWidth(2); |
1316 | ||
73318471 | 1317 | fhDXY[i]->SetLineColor(color); fhDXY[i]->SetLineWidth(2); |
524916f0 | 1318 | fhDZ[i]->SetLineColor(color); fhDZ[i]->SetLineWidth(2); |
1319 | fhDXYDZ[i]->SetLineColor(color); fhDXYDZ[i]->SetLineWidth(2); | |
73318471 | 1320 | |
1321 | fhDXYNormalized[i]->SetLineColor(color); fhDXYNormalized[i]->SetLineWidth(2); | |
1322 | fhDZNormalized[i]->SetLineColor(color); fhDZNormalized[i]->SetLineWidth(2); | |
1323 | fhNSigmaToVertex[i]->SetLineColor(color); fhNSigmaToVertex[i]->SetLineWidth(2); | |
1324 | } | |
1325 | ||
1326 | // The number of sigmas to the vertex is per definition gaussian | |
1327 | ffDTheoretical = new TF1("nSigmaToVertexTheoretical","([0]/2.506628274)*exp(-(x**2)/2)",0,50); | |
1328 | ffDTheoretical->SetParameter(0,1); | |
524916f0 | 1329 | |
73318471 | 1330 | TH1::AddDirectory(oldStatus); |
1331 | } | |
1332 | ||
1333 | //____________________________________________________________________ | |
1334 | Bool_t AliESDtrackCuts::LoadHistograms(const Char_t* dir) | |
1335 | { | |
1336 | // | |
1337 | // loads the histograms from a file | |
1338 | // if dir is empty a directory with the name of this object is taken (like in SaveHistogram) | |
1339 | // | |
1340 | ||
1341 | if (!dir) | |
1342 | dir = GetName(); | |
1343 | ||
1344 | if (!gDirectory->cd(dir)) | |
1345 | return kFALSE; | |
1346 | ||
1347 | ffDTheoretical = dynamic_cast<TF1*> (gDirectory->Get("nSigmaToVertexTheory")); | |
1348 | ||
1349 | fhCutStatistics = dynamic_cast<TH1F*> (gDirectory->Get("cut_statistics")); | |
1350 | fhCutCorrelation = dynamic_cast<TH2F*> (gDirectory->Get("cut_correlation")); | |
1351 | ||
73318471 | 1352 | for (Int_t i=0; i<2; i++) { |
1353 | if (i==0) | |
1354 | { | |
1355 | gDirectory->cd("before_cuts"); | |
73318471 | 1356 | } |
1357 | else | |
73318471 | 1358 | gDirectory->cd("after_cuts"); |
73318471 | 1359 | |
524916f0 | 1360 | fhNClustersITS[i] = dynamic_cast<TH1F*> (gDirectory->Get("nClustersITS" )); |
1361 | fhNClustersTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get("nClustersTPC" )); | |
1362 | fhChi2PerClusterITS[i] = dynamic_cast<TH1F*> (gDirectory->Get("chi2PerClusterITS")); | |
1363 | fhChi2PerClusterTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get("chi2PerClusterTPC")); | |
73318471 | 1364 | |
524916f0 | 1365 | fhC11[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal11")); |
1366 | fhC22[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal22")); | |
1367 | fhC33[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal33")); | |
1368 | fhC44[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal44")); | |
1369 | fhC55[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal55")); | |
73318471 | 1370 | |
025fb458 | 1371 | fhRel1PtUncertainty[i] = dynamic_cast<TH1F*> (gDirectory->Get("rel1PtUncertainty")); |
1372 | ||
524916f0 | 1373 | fhDXY[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXY" )); |
1374 | fhDZ[i] = dynamic_cast<TH1F*> (gDirectory->Get("dZ" )); | |
1375 | fhDXYDZ[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXYDZ")); | |
1376 | fhDXYvsDZ[i] = dynamic_cast<TH2F*> (gDirectory->Get("dXYvsDZ")); | |
73318471 | 1377 | |
524916f0 | 1378 | fhDXYNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXYNormalized" )); |
1379 | fhDZNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get("dZNormalized" )); | |
1380 | fhDXYvsDZNormalized[i] = dynamic_cast<TH2F*> (gDirectory->Get("dXYvsDZNormalized")); | |
1381 | fhNSigmaToVertex[i] = dynamic_cast<TH1F*> (gDirectory->Get("nSigmaToVertex")); | |
73318471 | 1382 | |
524916f0 | 1383 | fhPt[i] = dynamic_cast<TH1F*> (gDirectory->Get("pt")); |
1384 | fhEta[i] = dynamic_cast<TH1F*> (gDirectory->Get("eta")); | |
73318471 | 1385 | |
1386 | gDirectory->cd("../"); | |
1387 | } | |
1388 | ||
1389 | gDirectory->cd(".."); | |
1390 | ||
1391 | return kTRUE; | |
1392 | } | |
1393 | ||
1394 | //____________________________________________________________________ | |
1395 | void AliESDtrackCuts::SaveHistograms(const Char_t* dir) { | |
1396 | // | |
1397 | // saves the histograms in a directory (dir) | |
1398 | // | |
1399 | ||
1400 | if (!fHistogramsOn) { | |
1401 | AliDebug(0, "Histograms not on - cannot save histograms!!!"); | |
1402 | return; | |
1403 | } | |
1404 | ||
1405 | if (!dir) | |
1406 | dir = GetName(); | |
1407 | ||
1408 | gDirectory->mkdir(dir); | |
1409 | gDirectory->cd(dir); | |
1410 | ||
1411 | gDirectory->mkdir("before_cuts"); | |
1412 | gDirectory->mkdir("after_cuts"); | |
1413 | ||
1414 | // a factor of 2 is needed since n sigma is positive | |
1415 | ffDTheoretical->SetParameter(0,2*fhNSigmaToVertex[0]->Integral("width")); | |
1416 | ffDTheoretical->Write("nSigmaToVertexTheory"); | |
1417 | ||
1418 | fhCutStatistics->Write(); | |
1419 | fhCutCorrelation->Write(); | |
1420 | ||
1421 | for (Int_t i=0; i<2; i++) { | |
1422 | if (i==0) | |
1423 | gDirectory->cd("before_cuts"); | |
1424 | else | |
1425 | gDirectory->cd("after_cuts"); | |
1426 | ||
1427 | fhNClustersITS[i] ->Write(); | |
1428 | fhNClustersTPC[i] ->Write(); | |
1429 | fhChi2PerClusterITS[i] ->Write(); | |
1430 | fhChi2PerClusterTPC[i] ->Write(); | |
1431 | ||
1432 | fhC11[i] ->Write(); | |
1433 | fhC22[i] ->Write(); | |
1434 | fhC33[i] ->Write(); | |
1435 | fhC44[i] ->Write(); | |
1436 | fhC55[i] ->Write(); | |
1437 | ||
025fb458 | 1438 | fhRel1PtUncertainty[i] ->Write(); |
1439 | ||
73318471 | 1440 | fhDXY[i] ->Write(); |
1441 | fhDZ[i] ->Write(); | |
524916f0 | 1442 | fhDXYDZ[i] ->Write(); |
73318471 | 1443 | fhDXYvsDZ[i] ->Write(); |
1444 | ||
1445 | fhDXYNormalized[i] ->Write(); | |
1446 | fhDZNormalized[i] ->Write(); | |
1447 | fhDXYvsDZNormalized[i] ->Write(); | |
1448 | fhNSigmaToVertex[i] ->Write(); | |
1449 | ||
1450 | fhPt[i] ->Write(); | |
1451 | fhEta[i] ->Write(); | |
1452 | ||
1453 | gDirectory->cd("../"); | |
1454 | } | |
1455 | ||
1456 | gDirectory->cd("../"); | |
1457 | } | |
1458 | ||
1459 | //____________________________________________________________________ | |
1460 | void AliESDtrackCuts::DrawHistograms() | |
1461 | { | |
1462 | // draws some histograms | |
1463 | ||
1464 | TCanvas* canvas1 = new TCanvas(Form("%s_1", GetName()), "Track Quality Results1", 800, 800); | |
1465 | canvas1->Divide(2, 2); | |
1466 | ||
1467 | canvas1->cd(1); | |
1468 | fhNClustersTPC[0]->SetStats(kFALSE); | |
1469 | fhNClustersTPC[0]->Draw(); | |
1470 | ||
1471 | canvas1->cd(2); | |
1472 | fhChi2PerClusterTPC[0]->SetStats(kFALSE); | |
1473 | fhChi2PerClusterTPC[0]->Draw(); | |
1474 | ||
1475 | canvas1->cd(3); | |
1476 | fhNSigmaToVertex[0]->SetStats(kFALSE); | |
1477 | fhNSigmaToVertex[0]->GetXaxis()->SetRangeUser(0, 10); | |
1478 | fhNSigmaToVertex[0]->Draw(); | |
1479 | ||
1480 | canvas1->SaveAs(Form("%s_%s.gif", GetName(), canvas1->GetName())); | |
1481 | ||
1482 | TCanvas* canvas2 = new TCanvas(Form("%s_2", GetName()), "Track Quality Results2", 1200, 800); | |
1483 | canvas2->Divide(3, 2); | |
1484 | ||
1485 | canvas2->cd(1); | |
1486 | fhC11[0]->SetStats(kFALSE); | |
1487 | gPad->SetLogy(); | |
1488 | fhC11[0]->Draw(); | |
1489 | ||
1490 | canvas2->cd(2); | |
1491 | fhC22[0]->SetStats(kFALSE); | |
1492 | gPad->SetLogy(); | |
1493 | fhC22[0]->Draw(); | |
1494 | ||
1495 | canvas2->cd(3); | |
1496 | fhC33[0]->SetStats(kFALSE); | |
1497 | gPad->SetLogy(); | |
1498 | fhC33[0]->Draw(); | |
1499 | ||
1500 | canvas2->cd(4); | |
1501 | fhC44[0]->SetStats(kFALSE); | |
1502 | gPad->SetLogy(); | |
1503 | fhC44[0]->Draw(); | |
1504 | ||
1505 | canvas2->cd(5); | |
1506 | fhC55[0]->SetStats(kFALSE); | |
1507 | gPad->SetLogy(); | |
1508 | fhC55[0]->Draw(); | |
1509 | ||
025fb458 | 1510 | canvas2->cd(6); |
1511 | fhRel1PtUncertainty[0]->SetStats(kFALSE); | |
1512 | gPad->SetLogy(); | |
1513 | fhRel1PtUncertainty[0]->Draw(); | |
1514 | ||
73318471 | 1515 | canvas2->SaveAs(Form("%s_%s.gif", GetName(), canvas2->GetName())); |
1516 | ||
1517 | TCanvas* canvas3 = new TCanvas(Form("%s_3", GetName()), "Track Quality Results3", 1200, 800); | |
1518 | canvas3->Divide(3, 2); | |
1519 | ||
1520 | canvas3->cd(1); | |
1521 | fhDXY[0]->SetStats(kFALSE); | |
1522 | gPad->SetLogy(); | |
1523 | fhDXY[0]->Draw(); | |
1524 | ||
1525 | canvas3->cd(2); | |
1526 | fhDZ[0]->SetStats(kFALSE); | |
1527 | gPad->SetLogy(); | |
1528 | fhDZ[0]->Draw(); | |
1529 | ||
1530 | canvas3->cd(3); | |
1531 | fhDXYvsDZ[0]->SetStats(kFALSE); | |
1532 | gPad->SetLogz(); | |
1533 | gPad->SetRightMargin(0.15); | |
1534 | fhDXYvsDZ[0]->Draw("COLZ"); | |
1535 | ||
1536 | canvas3->cd(4); | |
1537 | fhDXYNormalized[0]->SetStats(kFALSE); | |
1538 | gPad->SetLogy(); | |
1539 | fhDXYNormalized[0]->Draw(); | |
1540 | ||
1541 | canvas3->cd(5); | |
1542 | fhDZNormalized[0]->SetStats(kFALSE); | |
1543 | gPad->SetLogy(); | |
1544 | fhDZNormalized[0]->Draw(); | |
1545 | ||
1546 | canvas3->cd(6); | |
1547 | fhDXYvsDZNormalized[0]->SetStats(kFALSE); | |
1548 | gPad->SetLogz(); | |
1549 | gPad->SetRightMargin(0.15); | |
1550 | fhDXYvsDZNormalized[0]->Draw("COLZ"); | |
1551 | ||
1552 | canvas3->SaveAs(Form("%s_%s.gif", GetName(), canvas3->GetName())); | |
1553 | ||
1554 | TCanvas* canvas4 = new TCanvas(Form("%s_4", GetName()), "Track Quality Results4", 800, 500); | |
1555 | canvas4->Divide(2, 1); | |
1556 | ||
1557 | canvas4->cd(1); | |
1558 | fhCutStatistics->SetStats(kFALSE); | |
1559 | fhCutStatistics->LabelsOption("v"); | |
1560 | gPad->SetBottomMargin(0.3); | |
1561 | fhCutStatistics->Draw(); | |
1562 | ||
1563 | canvas4->cd(2); | |
1564 | fhCutCorrelation->SetStats(kFALSE); | |
1565 | fhCutCorrelation->LabelsOption("v"); | |
1566 | gPad->SetBottomMargin(0.3); | |
1567 | gPad->SetLeftMargin(0.3); | |
1568 | fhCutCorrelation->Draw("COLZ"); | |
1569 | ||
1570 | canvas4->SaveAs(Form("%s_%s.gif", GetName(), canvas4->GetName())); | |
1571 | ||
1572 | /*canvas->cd(1); | |
1573 | fhDXYvsDZNormalized[0]->SetStats(kFALSE); | |
1574 | fhDXYvsDZNormalized[0]->DrawCopy("COLZ"); | |
1575 | ||
1576 | canvas->cd(2); | |
1577 | fhNClustersTPC[0]->SetStats(kFALSE); | |
1578 | fhNClustersTPC[0]->DrawCopy(); | |
1579 | ||
1580 | canvas->cd(3); | |
1581 | fhChi2PerClusterITS[0]->SetStats(kFALSE); | |
1582 | fhChi2PerClusterITS[0]->DrawCopy(); | |
1583 | fhChi2PerClusterITS[1]->SetLineColor(2); | |
1584 | fhChi2PerClusterITS[1]->DrawCopy("SAME"); | |
1585 | ||
1586 | canvas->cd(4); | |
1587 | fhChi2PerClusterTPC[0]->SetStats(kFALSE); | |
1588 | fhChi2PerClusterTPC[0]->DrawCopy(); | |
1589 | fhChi2PerClusterTPC[1]->SetLineColor(2); | |
1590 | fhChi2PerClusterTPC[1]->DrawCopy("SAME");*/ | |
1591 | } | |
f4e7aa32 | 1592 | //-------------------------------------------------------------------------- |
1593 | void AliESDtrackCuts::SetPtDepDCACuts(Double_t pt) { | |
1594 | // | |
1595 | // set the pt-dependent DCA cuts | |
1596 | // | |
1597 | ||
f328399b | 1598 | if(f1CutMaxDCAToVertexXYPtDep) { |
1599 | fCutMaxDCAToVertexXY=f1CutMaxDCAToVertexXYPtDep->Eval(pt); | |
f4e7aa32 | 1600 | } |
1601 | ||
f328399b | 1602 | if(f1CutMaxDCAToVertexZPtDep) { |
1603 | fCutMaxDCAToVertexZ=f1CutMaxDCAToVertexZPtDep->Eval(pt); | |
f4e7aa32 | 1604 | } |
1605 | ||
f328399b | 1606 | if(f1CutMinDCAToVertexXYPtDep) { |
1607 | fCutMinDCAToVertexXY=f1CutMinDCAToVertexXYPtDep->Eval(pt); | |
f4e7aa32 | 1608 | } |
1609 | ||
f328399b | 1610 | if(f1CutMinDCAToVertexZPtDep) { |
1611 | fCutMinDCAToVertexZ=f1CutMinDCAToVertexZPtDep->Eval(pt); | |
f4e7aa32 | 1612 | } |
1613 | ||
1614 | ||
1615 | return; | |
1616 | } | |
f328399b | 1617 | |
1618 | ||
1619 | ||
f4e7aa32 | 1620 | //-------------------------------------------------------------------------- |
1621 | Bool_t AliESDtrackCuts::CheckPtDepDCA(TString dist,Bool_t print) const { | |
1622 | // | |
1623 | // Check the correctness of the string syntax | |
1624 | // | |
1625 | Bool_t retval=kTRUE; | |
1626 | ||
1627 | if(!dist.Contains("pt")) { | |
1628 | if(print) printf("AliESDtrackCuts::CheckPtDepDCA(): string must contain \"pt\"\n"); | |
1629 | retval= kFALSE; | |
1630 | } | |
1631 | return retval; | |
1632 | } | |
73318471 | 1633 | |
f328399b | 1634 | void AliESDtrackCuts::SetMaxDCAToVertexXYPtDep(const char *dist){ |
34aef0ad | 1635 | |
1636 | if(f1CutMaxDCAToVertexXYPtDep){ | |
1637 | delete f1CutMaxDCAToVertexXYPtDep; | |
1638 | // resetiing both | |
1639 | f1CutMaxDCAToVertexXYPtDep = 0; | |
1640 | fCutMaxDCAToVertexXYPtDep = ""; | |
1641 | } | |
1642 | if(!CheckPtDepDCA(dist,kTRUE)){ | |
1643 | return; | |
1644 | } | |
f328399b | 1645 | fCutMaxDCAToVertexXYPtDep = dist; |
1646 | TString tmp(dist); | |
1647 | tmp.ReplaceAll("pt","x"); | |
1648 | f1CutMaxDCAToVertexXYPtDep = new TFormula("f1CutMaxDCAToVertexXYPtDep",tmp.Data()); | |
1649 | ||
1650 | } | |
1651 | ||
1652 | void AliESDtrackCuts::SetMaxDCAToVertexZPtDep(const char *dist){ | |
34aef0ad | 1653 | |
1654 | ||
1655 | if(f1CutMaxDCAToVertexZPtDep){ | |
1656 | delete f1CutMaxDCAToVertexZPtDep; | |
1657 | // resetiing both | |
1658 | f1CutMaxDCAToVertexZPtDep = 0; | |
1659 | fCutMaxDCAToVertexZPtDep = ""; | |
1660 | } | |
1661 | if(!CheckPtDepDCA(dist,kTRUE))return; | |
1662 | ||
f328399b | 1663 | fCutMaxDCAToVertexZPtDep = dist; |
1664 | TString tmp(dist); | |
1665 | tmp.ReplaceAll("pt","x"); | |
1666 | f1CutMaxDCAToVertexZPtDep = new TFormula("f1CutMaxDCAToVertexZPtDep",tmp.Data()); | |
1667 | ||
1668 | ||
1669 | } | |
1670 | ||
1671 | ||
1672 | void AliESDtrackCuts::SetMinDCAToVertexXYPtDep(const char *dist){ | |
34aef0ad | 1673 | |
1674 | ||
1675 | if(f1CutMinDCAToVertexXYPtDep){ | |
1676 | delete f1CutMinDCAToVertexXYPtDep; | |
1677 | // resetiing both | |
1678 | f1CutMinDCAToVertexXYPtDep = 0; | |
1679 | fCutMinDCAToVertexXYPtDep = ""; | |
1680 | } | |
1681 | if(!CheckPtDepDCA(dist,kTRUE))return; | |
1682 | ||
f328399b | 1683 | fCutMinDCAToVertexXYPtDep = dist; |
1684 | TString tmp(dist); | |
1685 | tmp.ReplaceAll("pt","x"); | |
1686 | f1CutMinDCAToVertexXYPtDep = new TFormula("f1CutMinDCAToVertexXYPtDep",tmp.Data()); | |
1687 | ||
1688 | } | |
1689 | ||
1690 | ||
1691 | void AliESDtrackCuts::SetMinDCAToVertexZPtDep(const char *dist){ | |
34aef0ad | 1692 | |
1693 | ||
1694 | ||
1695 | if(f1CutMinDCAToVertexZPtDep){ | |
1696 | delete f1CutMinDCAToVertexZPtDep; | |
1697 | // resetiing both | |
1698 | f1CutMinDCAToVertexZPtDep = 0; | |
1699 | fCutMinDCAToVertexZPtDep = ""; | |
1700 | } | |
1701 | if(!CheckPtDepDCA(dist,kTRUE))return; | |
f328399b | 1702 | fCutMinDCAToVertexZPtDep = dist; |
1703 | TString tmp(dist); | |
1704 | tmp.ReplaceAll("pt","x"); | |
1705 | f1CutMinDCAToVertexZPtDep = new TFormula("f1CutMinDCAToVertexZPtDep",tmp.Data()); | |
1706 | } |