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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", |
68 | "rel 1/pt uncertainty" | |
73318471 | 69 | }; |
70 | ||
71 | //____________________________________________________________________ | |
72 | AliESDtrackCuts::AliESDtrackCuts(const Char_t* name, const Char_t* title) : AliAnalysisCuts(name,title), | |
73 | fCutMinNClusterTPC(0), | |
74 | fCutMinNClusterITS(0), | |
75 | fCutMaxChi2PerClusterTPC(0), | |
76 | fCutMaxChi2PerClusterITS(0), | |
77 | fCutMaxC11(0), | |
78 | fCutMaxC22(0), | |
79 | fCutMaxC33(0), | |
80 | fCutMaxC44(0), | |
81 | fCutMaxC55(0), | |
025fb458 | 82 | fCutMaxRel1PtUncertainty(0), |
73318471 | 83 | fCutAcceptKinkDaughters(0), |
3128582b | 84 | fCutAcceptSharedTPCClusters(0), |
85 | fCutMaxFractionSharedTPCClusters(0), | |
73318471 | 86 | fCutRequireTPCRefit(0), |
a86cf7f4 | 87 | fCutRequireTPCStandAlone(0), |
73318471 | 88 | fCutRequireITSRefit(0), |
d95684c0 | 89 | fCutRequireITSStandAlone(0), |
f4e7aa32 | 90 | fCutRejectITSpureSA(0), |
73318471 | 91 | fCutNsigmaToVertex(0), |
92 | fCutSigmaToVertexRequired(0), | |
133a5e00 | 93 | fCutMaxDCAToVertexXY(0), |
94 | fCutMaxDCAToVertexZ(0), | |
95 | fCutMinDCAToVertexXY(0), | |
96 | fCutMinDCAToVertexZ(0), | |
f4e7aa32 | 97 | fCutMaxDCAToVertexXYPtDep(""), |
98 | fCutMaxDCAToVertexZPtDep(""), | |
99 | fCutMinDCAToVertexXYPtDep(""), | |
100 | fCutMinDCAToVertexZPtDep(""), | |
86f0e195 | 101 | fCutDCAToVertex2D(0), |
73318471 | 102 | fPMin(0), |
103 | fPMax(0), | |
104 | fPtMin(0), | |
105 | fPtMax(0), | |
106 | fPxMin(0), | |
107 | fPxMax(0), | |
108 | fPyMin(0), | |
109 | fPyMax(0), | |
110 | fPzMin(0), | |
111 | fPzMax(0), | |
112 | fEtaMin(0), | |
113 | fEtaMax(0), | |
114 | fRapMin(0), | |
115 | fRapMax(0), | |
116 | fHistogramsOn(0), | |
117 | ffDTheoretical(0), | |
118 | fhCutStatistics(0), | |
119 | fhCutCorrelation(0) | |
120 | { | |
121 | // | |
122 | // constructor | |
123 | // | |
124 | ||
125 | Init(); | |
126 | ||
127 | //############################################################################## | |
128 | // setting default cuts | |
129 | SetMinNClustersTPC(); | |
130 | SetMinNClustersITS(); | |
131 | SetMaxChi2PerClusterTPC(); | |
132 | SetMaxChi2PerClusterITS(); | |
025fb458 | 133 | SetMaxCovDiagonalElements(); |
134 | SetMaxRel1PtUncertainty(); | |
73318471 | 135 | SetRequireTPCRefit(); |
a86cf7f4 | 136 | SetRequireTPCStandAlone(); |
73318471 | 137 | SetRequireITSRefit(); |
d95684c0 | 138 | SetRequireITSStandAlone(kFALSE); |
58c4f3fb | 139 | SetAcceptKinkDaughters(); |
94c06b89 | 140 | SetMaxNsigmaToVertex(); |
94c06b89 | 141 | SetMaxDCAToVertexXY(); |
142 | SetMaxDCAToVertexZ(); | |
86f0e195 | 143 | SetDCAToVertex2D(); |
133a5e00 | 144 | SetMinDCAToVertexXY(); |
145 | SetMinDCAToVertexZ(); | |
73318471 | 146 | SetPRange(); |
147 | SetPtRange(); | |
148 | SetPxRange(); | |
149 | SetPyRange(); | |
150 | SetPzRange(); | |
151 | SetEtaRange(); | |
152 | SetRapRange(); | |
94c06b89 | 153 | SetClusterRequirementITS(kSPD); |
154 | SetClusterRequirementITS(kSDD); | |
155 | SetClusterRequirementITS(kSSD); | |
73318471 | 156 | |
157 | SetHistogramsOn(); | |
158 | } | |
159 | ||
160 | //_____________________________________________________________________________ | |
161 | AliESDtrackCuts::AliESDtrackCuts(const AliESDtrackCuts &c) : AliAnalysisCuts(c), | |
162 | fCutMinNClusterTPC(0), | |
163 | fCutMinNClusterITS(0), | |
164 | fCutMaxChi2PerClusterTPC(0), | |
165 | fCutMaxChi2PerClusterITS(0), | |
166 | fCutMaxC11(0), | |
167 | fCutMaxC22(0), | |
168 | fCutMaxC33(0), | |
169 | fCutMaxC44(0), | |
170 | fCutMaxC55(0), | |
025fb458 | 171 | fCutMaxRel1PtUncertainty(0), |
73318471 | 172 | fCutAcceptKinkDaughters(0), |
3128582b | 173 | fCutAcceptSharedTPCClusters(0), |
174 | fCutMaxFractionSharedTPCClusters(0), | |
73318471 | 175 | fCutRequireTPCRefit(0), |
a86cf7f4 | 176 | fCutRequireTPCStandAlone(0), |
73318471 | 177 | fCutRequireITSRefit(0), |
d95684c0 | 178 | fCutRequireITSStandAlone(0), |
f4e7aa32 | 179 | fCutRejectITSpureSA(0), |
73318471 | 180 | fCutNsigmaToVertex(0), |
181 | fCutSigmaToVertexRequired(0), | |
133a5e00 | 182 | fCutMaxDCAToVertexXY(0), |
183 | fCutMaxDCAToVertexZ(0), | |
184 | fCutMinDCAToVertexXY(0), | |
185 | fCutMinDCAToVertexZ(0), | |
f4e7aa32 | 186 | fCutMaxDCAToVertexXYPtDep(""), |
187 | fCutMaxDCAToVertexZPtDep(""), | |
188 | fCutMinDCAToVertexXYPtDep(""), | |
189 | fCutMinDCAToVertexZPtDep(""), | |
86f0e195 | 190 | fCutDCAToVertex2D(0), |
73318471 | 191 | fPMin(0), |
192 | fPMax(0), | |
193 | fPtMin(0), | |
194 | fPtMax(0), | |
195 | fPxMin(0), | |
196 | fPxMax(0), | |
197 | fPyMin(0), | |
198 | fPyMax(0), | |
199 | fPzMin(0), | |
200 | fPzMax(0), | |
201 | fEtaMin(0), | |
202 | fEtaMax(0), | |
203 | fRapMin(0), | |
204 | fRapMax(0), | |
205 | fHistogramsOn(0), | |
206 | ffDTheoretical(0), | |
207 | fhCutStatistics(0), | |
208 | fhCutCorrelation(0) | |
209 | { | |
210 | // | |
211 | // copy constructor | |
212 | // | |
213 | ||
214 | ((AliESDtrackCuts &) c).Copy(*this); | |
215 | } | |
216 | ||
217 | AliESDtrackCuts::~AliESDtrackCuts() | |
218 | { | |
219 | // | |
220 | // destructor | |
221 | // | |
222 | ||
223 | for (Int_t i=0; i<2; i++) { | |
224 | ||
225 | if (fhNClustersITS[i]) | |
226 | delete fhNClustersITS[i]; | |
227 | if (fhNClustersTPC[i]) | |
228 | delete fhNClustersTPC[i]; | |
229 | if (fhChi2PerClusterITS[i]) | |
230 | delete fhChi2PerClusterITS[i]; | |
231 | if (fhChi2PerClusterTPC[i]) | |
232 | delete fhChi2PerClusterTPC[i]; | |
233 | if (fhC11[i]) | |
234 | delete fhC11[i]; | |
235 | if (fhC22[i]) | |
236 | delete fhC22[i]; | |
237 | if (fhC33[i]) | |
238 | delete fhC33[i]; | |
239 | if (fhC44[i]) | |
240 | delete fhC44[i]; | |
241 | if (fhC55[i]) | |
025fb458 | 242 | delete fhC55[i]; |
243 | ||
244 | if (fhRel1PtUncertainty[i]) | |
245 | delete fhRel1PtUncertainty[i]; | |
73318471 | 246 | |
247 | if (fhDXY[i]) | |
248 | delete fhDXY[i]; | |
249 | if (fhDZ[i]) | |
524916f0 | 250 | delete fhDZ[i]; |
251 | if (fhDXYDZ[i]) | |
252 | delete fhDXYDZ[i]; | |
73318471 | 253 | if (fhDXYvsDZ[i]) |
524916f0 | 254 | delete fhDXYvsDZ[i]; |
255 | ||
73318471 | 256 | if (fhDXYNormalized[i]) |
257 | delete fhDXYNormalized[i]; | |
258 | if (fhDZNormalized[i]) | |
259 | delete fhDZNormalized[i]; | |
260 | if (fhDXYvsDZNormalized[i]) | |
524916f0 | 261 | delete fhDXYvsDZNormalized[i]; |
73318471 | 262 | if (fhNSigmaToVertex[i]) |
263 | delete fhNSigmaToVertex[i]; | |
264 | if (fhPt[i]) | |
265 | delete fhPt[i]; | |
266 | if (fhEta[i]) | |
267 | delete fhEta[i]; | |
268 | } | |
269 | ||
270 | if (ffDTheoretical) | |
271 | delete ffDTheoretical; | |
272 | ||
273 | if (fhCutStatistics) | |
274 | delete fhCutStatistics; | |
275 | if (fhCutCorrelation) | |
276 | delete fhCutCorrelation; | |
277 | } | |
278 | ||
279 | void AliESDtrackCuts::Init() | |
280 | { | |
281 | // | |
282 | // sets everything to zero | |
283 | // | |
284 | ||
285 | fCutMinNClusterTPC = 0; | |
286 | fCutMinNClusterITS = 0; | |
287 | ||
288 | fCutMaxChi2PerClusterTPC = 0; | |
289 | fCutMaxChi2PerClusterITS = 0; | |
94c06b89 | 290 | |
291 | for (Int_t i = 0; i < 3; i++) | |
292 | fCutClusterRequirementITS[i] = kOff; | |
73318471 | 293 | |
294 | fCutMaxC11 = 0; | |
295 | fCutMaxC22 = 0; | |
296 | fCutMaxC33 = 0; | |
297 | fCutMaxC44 = 0; | |
298 | fCutMaxC55 = 0; | |
025fb458 | 299 | |
300 | fCutMaxRel1PtUncertainty = 0; | |
73318471 | 301 | |
302 | fCutAcceptKinkDaughters = 0; | |
3128582b | 303 | fCutAcceptSharedTPCClusters = 0; |
304 | fCutMaxFractionSharedTPCClusters = 0; | |
73318471 | 305 | fCutRequireTPCRefit = 0; |
a86cf7f4 | 306 | fCutRequireTPCStandAlone = 0; |
73318471 | 307 | fCutRequireITSRefit = 0; |
d95684c0 | 308 | fCutRequireITSStandAlone = 0; |
f4e7aa32 | 309 | fCutRejectITSpureSA = 0; |
73318471 | 310 | |
311 | fCutNsigmaToVertex = 0; | |
312 | fCutSigmaToVertexRequired = 0; | |
133a5e00 | 313 | fCutMaxDCAToVertexXY = 0; |
314 | fCutMaxDCAToVertexZ = 0; | |
86f0e195 | 315 | fCutDCAToVertex2D = 0; |
133a5e00 | 316 | fCutMinDCAToVertexXY = 0; |
317 | fCutMinDCAToVertexZ = 0; | |
f4e7aa32 | 318 | fCutMaxDCAToVertexXYPtDep = ""; |
319 | fCutMaxDCAToVertexZPtDep = ""; | |
320 | fCutMinDCAToVertexXYPtDep = ""; | |
321 | fCutMinDCAToVertexZPtDep = ""; | |
133a5e00 | 322 | |
86f0e195 | 323 | |
73318471 | 324 | fPMin = 0; |
325 | fPMax = 0; | |
326 | fPtMin = 0; | |
327 | fPtMax = 0; | |
328 | fPxMin = 0; | |
329 | fPxMax = 0; | |
330 | fPyMin = 0; | |
331 | fPyMax = 0; | |
332 | fPzMin = 0; | |
333 | fPzMax = 0; | |
334 | fEtaMin = 0; | |
335 | fEtaMax = 0; | |
336 | fRapMin = 0; | |
337 | fRapMax = 0; | |
338 | ||
339 | fHistogramsOn = kFALSE; | |
340 | ||
341 | for (Int_t i=0; i<2; ++i) | |
342 | { | |
343 | fhNClustersITS[i] = 0; | |
344 | fhNClustersTPC[i] = 0; | |
345 | ||
346 | fhChi2PerClusterITS[i] = 0; | |
347 | fhChi2PerClusterTPC[i] = 0; | |
348 | ||
349 | fhC11[i] = 0; | |
350 | fhC22[i] = 0; | |
351 | fhC33[i] = 0; | |
352 | fhC44[i] = 0; | |
353 | fhC55[i] = 0; | |
354 | ||
025fb458 | 355 | fhRel1PtUncertainty[i] = 0; |
356 | ||
73318471 | 357 | fhDXY[i] = 0; |
358 | fhDZ[i] = 0; | |
524916f0 | 359 | fhDXYDZ[i] = 0; |
73318471 | 360 | fhDXYvsDZ[i] = 0; |
361 | ||
362 | fhDXYNormalized[i] = 0; | |
363 | fhDZNormalized[i] = 0; | |
364 | fhDXYvsDZNormalized[i] = 0; | |
365 | fhNSigmaToVertex[i] = 0; | |
366 | ||
367 | fhPt[i] = 0; | |
368 | fhEta[i] = 0; | |
369 | } | |
370 | ffDTheoretical = 0; | |
371 | ||
372 | fhCutStatistics = 0; | |
373 | fhCutCorrelation = 0; | |
374 | } | |
375 | ||
376 | //_____________________________________________________________________________ | |
377 | AliESDtrackCuts &AliESDtrackCuts::operator=(const AliESDtrackCuts &c) | |
378 | { | |
379 | // | |
380 | // Assignment operator | |
381 | // | |
382 | ||
383 | if (this != &c) ((AliESDtrackCuts &) c).Copy(*this); | |
384 | return *this; | |
385 | } | |
386 | ||
387 | //_____________________________________________________________________________ | |
388 | void AliESDtrackCuts::Copy(TObject &c) const | |
389 | { | |
390 | // | |
391 | // Copy function | |
392 | // | |
393 | ||
394 | AliESDtrackCuts& target = (AliESDtrackCuts &) c; | |
395 | ||
396 | target.Init(); | |
397 | ||
398 | target.fCutMinNClusterTPC = fCutMinNClusterTPC; | |
399 | target.fCutMinNClusterITS = fCutMinNClusterITS; | |
400 | ||
401 | target.fCutMaxChi2PerClusterTPC = fCutMaxChi2PerClusterTPC; | |
402 | target.fCutMaxChi2PerClusterITS = fCutMaxChi2PerClusterITS; | |
403 | ||
94c06b89 | 404 | for (Int_t i = 0; i < 3; i++) |
405 | target.fCutClusterRequirementITS[i] = fCutClusterRequirementITS[i]; | |
406 | ||
73318471 | 407 | target.fCutMaxC11 = fCutMaxC11; |
408 | target.fCutMaxC22 = fCutMaxC22; | |
409 | target.fCutMaxC33 = fCutMaxC33; | |
410 | target.fCutMaxC44 = fCutMaxC44; | |
411 | target.fCutMaxC55 = fCutMaxC55; | |
412 | ||
025fb458 | 413 | target.fCutMaxRel1PtUncertainty = fCutMaxRel1PtUncertainty; |
414 | ||
73318471 | 415 | target.fCutAcceptKinkDaughters = fCutAcceptKinkDaughters; |
3128582b | 416 | target.fCutAcceptSharedTPCClusters = fCutAcceptSharedTPCClusters; |
417 | target.fCutMaxFractionSharedTPCClusters = fCutMaxFractionSharedTPCClusters; | |
73318471 | 418 | target.fCutRequireTPCRefit = fCutRequireTPCRefit; |
a86cf7f4 | 419 | target.fCutRequireTPCStandAlone = fCutRequireTPCStandAlone; |
73318471 | 420 | target.fCutRequireITSRefit = fCutRequireITSRefit; |
d95684c0 | 421 | target.fCutRequireITSStandAlone = fCutRequireITSStandAlone; |
f4e7aa32 | 422 | target.fCutRejectITSpureSA = fCutRejectITSpureSA; |
73318471 | 423 | |
424 | target.fCutNsigmaToVertex = fCutNsigmaToVertex; | |
425 | target.fCutSigmaToVertexRequired = fCutSigmaToVertexRequired; | |
133a5e00 | 426 | target.fCutMaxDCAToVertexXY = fCutMaxDCAToVertexXY; |
427 | target.fCutMaxDCAToVertexZ = fCutMaxDCAToVertexZ; | |
86f0e195 | 428 | target.fCutDCAToVertex2D = fCutDCAToVertex2D; |
133a5e00 | 429 | target.fCutMinDCAToVertexXY = fCutMinDCAToVertexXY; |
430 | target.fCutMinDCAToVertexZ = fCutMinDCAToVertexZ; | |
f4e7aa32 | 431 | target.fCutMaxDCAToVertexXYPtDep = fCutMaxDCAToVertexXYPtDep; |
432 | target.fCutMaxDCAToVertexZPtDep = fCutMaxDCAToVertexZPtDep; | |
433 | target.fCutMinDCAToVertexXYPtDep = fCutMinDCAToVertexXYPtDep; | |
434 | target.fCutMinDCAToVertexZPtDep = fCutMinDCAToVertexZPtDep; | |
73318471 | 435 | |
436 | target.fPMin = fPMin; | |
437 | target.fPMax = fPMax; | |
438 | target.fPtMin = fPtMin; | |
439 | target.fPtMax = fPtMax; | |
440 | target.fPxMin = fPxMin; | |
441 | target.fPxMax = fPxMax; | |
442 | target.fPyMin = fPyMin; | |
443 | target.fPyMax = fPyMax; | |
444 | target.fPzMin = fPzMin; | |
445 | target.fPzMax = fPzMax; | |
446 | target.fEtaMin = fEtaMin; | |
447 | target.fEtaMax = fEtaMax; | |
448 | target.fRapMin = fRapMin; | |
449 | target.fRapMax = fRapMax; | |
450 | ||
451 | target.fHistogramsOn = fHistogramsOn; | |
452 | ||
453 | for (Int_t i=0; i<2; ++i) | |
454 | { | |
455 | if (fhNClustersITS[i]) target.fhNClustersITS[i] = (TH1F*) fhNClustersITS[i]->Clone(); | |
456 | if (fhNClustersTPC[i]) target.fhNClustersTPC[i] = (TH1F*) fhNClustersTPC[i]->Clone(); | |
457 | ||
458 | if (fhChi2PerClusterITS[i]) target.fhChi2PerClusterITS[i] = (TH1F*) fhChi2PerClusterITS[i]->Clone(); | |
459 | if (fhChi2PerClusterTPC[i]) target.fhChi2PerClusterTPC[i] = (TH1F*) fhChi2PerClusterTPC[i]->Clone(); | |
460 | ||
461 | if (fhC11[i]) target.fhC11[i] = (TH1F*) fhC11[i]->Clone(); | |
462 | if (fhC22[i]) target.fhC22[i] = (TH1F*) fhC22[i]->Clone(); | |
463 | if (fhC33[i]) target.fhC33[i] = (TH1F*) fhC33[i]->Clone(); | |
464 | if (fhC44[i]) target.fhC44[i] = (TH1F*) fhC44[i]->Clone(); | |
465 | if (fhC55[i]) target.fhC55[i] = (TH1F*) fhC55[i]->Clone(); | |
466 | ||
025fb458 | 467 | if (fhRel1PtUncertainty[i]) target.fhRel1PtUncertainty[i] = (TH1F*) fhRel1PtUncertainty[i]->Clone(); |
468 | ||
73318471 | 469 | if (fhDXY[i]) target.fhDXY[i] = (TH1F*) fhDXY[i]->Clone(); |
470 | if (fhDZ[i]) target.fhDZ[i] = (TH1F*) fhDZ[i]->Clone(); | |
524916f0 | 471 | if (fhDXYDZ[i]) target.fhDXYDZ[i] = (TH1F*) fhDXYDZ[i]->Clone(); |
73318471 | 472 | if (fhDXYvsDZ[i]) target.fhDXYvsDZ[i] = (TH2F*) fhDXYvsDZ[i]->Clone(); |
473 | ||
474 | if (fhDXYNormalized[i]) target.fhDXYNormalized[i] = (TH1F*) fhDXYNormalized[i]->Clone(); | |
475 | if (fhDZNormalized[i]) target.fhDZNormalized[i] = (TH1F*) fhDZNormalized[i]->Clone(); | |
476 | if (fhDXYvsDZNormalized[i]) target.fhDXYvsDZNormalized[i] = (TH2F*) fhDXYvsDZNormalized[i]->Clone(); | |
477 | if (fhNSigmaToVertex[i]) target.fhNSigmaToVertex[i] = (TH1F*) fhNSigmaToVertex[i]->Clone(); | |
478 | ||
479 | if (fhPt[i]) target.fhPt[i] = (TH1F*) fhPt[i]->Clone(); | |
480 | if (fhEta[i]) target.fhEta[i] = (TH1F*) fhEta[i]->Clone(); | |
481 | } | |
482 | if (ffDTheoretical) target.ffDTheoretical = (TF1*) ffDTheoretical->Clone(); | |
483 | ||
484 | if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone(); | |
485 | if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone(); | |
486 | ||
487 | TNamed::Copy(c); | |
488 | } | |
489 | ||
490 | //_____________________________________________________________________________ | |
491 | Long64_t AliESDtrackCuts::Merge(TCollection* list) { | |
492 | // Merge a list of AliESDtrackCuts objects with this (needed for PROOF) | |
493 | // Returns the number of merged objects (including this) | |
73318471 | 494 | if (!list) |
495 | return 0; | |
73318471 | 496 | if (list->IsEmpty()) |
497 | return 1; | |
73318471 | 498 | if (!fHistogramsOn) |
499 | return 0; | |
73318471 | 500 | TIterator* iter = list->MakeIterator(); |
501 | TObject* obj; | |
502 | ||
73318471 | 503 | // collection of measured and generated histograms |
504 | Int_t count = 0; | |
505 | while ((obj = iter->Next())) { | |
506 | ||
507 | AliESDtrackCuts* entry = dynamic_cast<AliESDtrackCuts*>(obj); | |
508 | if (entry == 0) | |
509 | continue; | |
510 | ||
511 | if (!entry->fHistogramsOn) | |
512 | continue; | |
524916f0 | 513 | |
73318471 | 514 | for (Int_t i=0; i<2; i++) { |
515 | ||
516 | fhNClustersITS[i] ->Add(entry->fhNClustersITS[i] ); | |
517 | fhNClustersTPC[i] ->Add(entry->fhNClustersTPC[i] ); | |
518 | ||
519 | fhChi2PerClusterITS[i] ->Add(entry->fhChi2PerClusterITS[i]); | |
520 | fhChi2PerClusterTPC[i] ->Add(entry->fhChi2PerClusterTPC[i]); | |
521 | ||
522 | fhC11[i] ->Add(entry->fhC11[i] ); | |
523 | fhC22[i] ->Add(entry->fhC22[i] ); | |
524 | fhC33[i] ->Add(entry->fhC33[i] ); | |
525 | fhC44[i] ->Add(entry->fhC44[i] ); | |
025fb458 | 526 | fhC55[i] ->Add(entry->fhC55[i] ); |
527 | ||
528 | fhRel1PtUncertainty[i] ->Add(entry->fhRel1PtUncertainty[i]); | |
73318471 | 529 | |
530 | fhDXY[i] ->Add(entry->fhDXY[i] ); | |
531 | fhDZ[i] ->Add(entry->fhDZ[i] ); | |
524916f0 | 532 | fhDXYDZ[i] ->Add(entry->fhDXYDZ[i] ); |
533 | fhDXYvsDZ[i] ->Add(entry->fhDXYvsDZ[i] ); | |
534 | ||
535 | fhDXYNormalized[i] ->Add(entry->fhDXYNormalized[i] ); | |
73318471 | 536 | fhDZNormalized[i] ->Add(entry->fhDZNormalized[i] ); |
524916f0 | 537 | fhDXYvsDZNormalized[i] ->Add(entry->fhDXYvsDZNormalized[i]); |
73318471 | 538 | fhNSigmaToVertex[i] ->Add(entry->fhNSigmaToVertex[i]); |
539 | ||
540 | fhPt[i] ->Add(entry->fhPt[i]); | |
541 | fhEta[i] ->Add(entry->fhEta[i]); | |
542 | } | |
543 | ||
544 | fhCutStatistics ->Add(entry->fhCutStatistics); | |
545 | fhCutCorrelation ->Add(entry->fhCutCorrelation); | |
546 | ||
547 | count++; | |
548 | } | |
73318471 | 549 | return count+1; |
550 | } | |
551 | ||
1bf80d20 | 552 | //____________________________________________________________________ |
553 | AliESDtrackCuts* AliESDtrackCuts::GetStandardTPCOnlyTrackCuts() | |
554 | { | |
ce3be819 | 555 | // creates an AliESDtrackCuts object and fills it with standard (pre data-taking) values for TPC-only cuts |
1bf80d20 | 556 | |
557 | Printf("AliESDtrackCuts::GetStandardTPCOnlyTrackCuts: Creating track cuts for TPC-only."); | |
558 | ||
559 | AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts; | |
560 | ||
561 | esdTrackCuts->SetMinNClustersTPC(50); | |
562 | esdTrackCuts->SetMaxChi2PerClusterTPC(4); | |
563 | esdTrackCuts->SetAcceptKinkDaughters(kFALSE); | |
564 | ||
565 | esdTrackCuts->SetMaxDCAToVertexZ(3.2); | |
566 | esdTrackCuts->SetMaxDCAToVertexXY(2.4); | |
567 | esdTrackCuts->SetDCAToVertex2D(kTRUE); | |
568 | ||
569 | return esdTrackCuts; | |
570 | } | |
571 | ||
f4e7aa32 | 572 | //____________________________________________________________________ |
573 | AliESDtrackCuts* AliESDtrackCuts::GetStandardITSTPCTrackCuts2009(Bool_t selPrimaries) | |
574 | { | |
575 | // creates an AliESDtrackCuts object and fills it with standard values for ITS-TPC cuts for pp 2009 data | |
576 | ||
577 | Printf("AliESDtrackCuts::GetStandardITSTPCTrackCuts: Creating track cuts for ITS+TPC."); | |
578 | ||
579 | AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts; | |
580 | ||
581 | // TPC | |
2dc88643 | 582 | esdTrackCuts->SetRequireTPCStandAlone(kTRUE); // to get chi2 and ncls of kTPCin |
f4e7aa32 | 583 | esdTrackCuts->SetMinNClustersTPC(70); |
584 | esdTrackCuts->SetMaxChi2PerClusterTPC(4); | |
585 | esdTrackCuts->SetAcceptKinkDaughters(kFALSE); | |
ce3be819 | 586 | esdTrackCuts->SetRequireTPCRefit(kTRUE); |
f4e7aa32 | 587 | // ITS |
588 | esdTrackCuts->SetRequireITSRefit(kTRUE); | |
589 | esdTrackCuts->SetClusterRequirementITS(AliESDtrackCuts::kSPD, | |
590 | AliESDtrackCuts::kAny); | |
591 | if(selPrimaries) { | |
592 | // 7*(0.0050+0.0060/pt^0.9) | |
593 | esdTrackCuts->SetMaxDCAToVertexXYPtDep("0.0350+0.0420/pt^0.9"); | |
594 | } | |
595 | esdTrackCuts->SetMaxDCAToVertexZ(1.e6); | |
596 | esdTrackCuts->SetDCAToVertex2D(kFALSE); | |
597 | esdTrackCuts->SetRequireSigmaToVertex(kFALSE); | |
598 | //esdTrackCuts->SetEtaRange(-0.8,+0.8); | |
599 | ||
600 | return esdTrackCuts; | |
601 | } | |
602 | ||
1bf80d20 | 603 | //____________________________________________________________________ |
604 | Int_t AliESDtrackCuts::GetReferenceMultiplicity(AliESDEvent* esd, Bool_t tpcOnly) | |
605 | { | |
606 | // Gets reference multiplicity following the standard cuts and a defined fiducial volume | |
607 | // tpcOnly = kTRUE -> consider TPC-only tracks | |
608 | // = kFALSE -> consider global tracks | |
609 | ||
610 | if (!tpcOnly) | |
611 | { | |
612 | Printf("AliESDtrackCuts::GetReferenceMultiplicity: Not implemented for global tracks!"); | |
613 | return -1; | |
614 | } | |
615 | ||
616 | AliESDtrackCuts* esdTrackCuts = GetStandardTPCOnlyTrackCuts(); | |
617 | esdTrackCuts->SetEtaRange(-0.8, 0.8); | |
618 | esdTrackCuts->SetPtRange(0.15); | |
619 | ||
620 | Int_t nTracks = esdTrackCuts->CountAcceptedTracks(esd); | |
621 | ||
622 | delete esdTrackCuts; | |
623 | esdTrackCuts = 0; | |
624 | ||
625 | return nTracks; | |
626 | } | |
73318471 | 627 | |
628 | //____________________________________________________________________ | |
629 | Float_t AliESDtrackCuts::GetSigmaToVertex(AliESDtrack* esdTrack) | |
630 | { | |
631 | // Calculates the number of sigma to the vertex. | |
632 | ||
633 | Float_t b[2]; | |
634 | Float_t bRes[2]; | |
635 | Float_t bCov[3]; | |
636 | esdTrack->GetImpactParameters(b,bCov); | |
36853ddd | 637 | |
73318471 | 638 | if (bCov[0]<=0 || bCov[2]<=0) { |
57fddfbc | 639 | AliDebugClass(1, "Estimated b resolution lower or equal zero!"); |
73318471 | 640 | bCov[0]=0; bCov[2]=0; |
641 | } | |
642 | bRes[0] = TMath::Sqrt(bCov[0]); | |
643 | bRes[1] = TMath::Sqrt(bCov[2]); | |
644 | ||
645 | // ----------------------------------- | |
646 | // How to get to a n-sigma cut? | |
647 | // | |
648 | // The accumulated statistics from 0 to d is | |
649 | // | |
650 | // -> Erf(d/Sqrt(2)) for a 1-dim gauss (d = n_sigma) | |
651 | // -> 1 - Exp(-d**2) for a 2-dim gauss (d*d = dx*dx + dy*dy != n_sigma) | |
652 | // | |
cae2c21a | 653 | // It means that for a 2-dim gauss: n_sigma(d) = Sqrt(2)*ErfInv(1 - Exp((-d**2)/2) |
73318471 | 654 | // Can this be expressed in a different way? |
655 | ||
656 | if (bRes[0] == 0 || bRes[1] ==0) | |
657 | return -1; | |
658 | ||
659 | Float_t d = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2)); | |
660 | ||
0f712a2e | 661 | // work around precision problem |
73318471 | 662 | // if d is too big, TMath::Exp(...) gets 0, and TMath::ErfInverse(1) that should be infinite, gets 0 :( |
0f712a2e | 663 | // 1e-15 corresponds to nsigma ~ 7.7 |
664 | if (TMath::Exp(-d * d / 2) < 1e-15) | |
73318471 | 665 | return 1000; |
666 | ||
0f712a2e | 667 | Float_t nSigma = TMath::ErfInverse(1 - TMath::Exp(-d * d / 2)) * TMath::Sqrt(2); |
668 | return nSigma; | |
73318471 | 669 | } |
670 | ||
671 | void AliESDtrackCuts::EnableNeededBranches(TTree* tree) | |
672 | { | |
673 | // enables the branches needed by AcceptTrack, for a list see comment of AcceptTrack | |
674 | ||
675 | tree->SetBranchStatus("fTracks.fFlags", 1); | |
676 | tree->SetBranchStatus("fTracks.fITSncls", 1); | |
677 | tree->SetBranchStatus("fTracks.fTPCncls", 1); | |
678 | tree->SetBranchStatus("fTracks.fITSchi2", 1); | |
679 | tree->SetBranchStatus("fTracks.fTPCchi2", 1); | |
680 | tree->SetBranchStatus("fTracks.fC*", 1); | |
681 | tree->SetBranchStatus("fTracks.fD", 1); | |
682 | tree->SetBranchStatus("fTracks.fZ", 1); | |
683 | tree->SetBranchStatus("fTracks.fCdd", 1); | |
684 | tree->SetBranchStatus("fTracks.fCdz", 1); | |
685 | tree->SetBranchStatus("fTracks.fCzz", 1); | |
686 | tree->SetBranchStatus("fTracks.fP*", 1); | |
687 | tree->SetBranchStatus("fTracks.fR*", 1); | |
688 | tree->SetBranchStatus("fTracks.fKinkIndexes*", 1); | |
689 | } | |
690 | ||
691 | //____________________________________________________________________ | |
d95684c0 | 692 | Bool_t AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack) |
693 | { | |
73318471 | 694 | // |
695 | // figure out if the tracks survives all the track cuts defined | |
696 | // | |
697 | // the different quality parameter and kinematic values are first | |
698 | // retrieved from the track. then it is found out what cuts the | |
699 | // track did not survive and finally the cuts are imposed. | |
700 | ||
701 | // this function needs the following branches: | |
702 | // fTracks.fFlags | |
703 | // fTracks.fITSncls | |
704 | // fTracks.fTPCncls | |
705 | // fTracks.fITSchi2 | |
706 | // fTracks.fTPCchi2 | |
707 | // fTracks.fC //GetExternalCovariance | |
708 | // fTracks.fD //GetImpactParameters | |
709 | // fTracks.fZ //GetImpactParameters | |
710 | // fTracks.fCdd //GetImpactParameters | |
711 | // fTracks.fCdz //GetImpactParameters | |
712 | // fTracks.fCzz //GetImpactParameters | |
713 | // fTracks.fP //GetPxPyPz | |
714 | // fTracks.fR //GetMass | |
715 | // fTracks.fP //GetMass | |
716 | // fTracks.fKinkIndexes | |
717 | ||
718 | UInt_t status = esdTrack->GetStatus(); | |
719 | ||
73318471 | 720 | // getting quality parameters from the ESD track |
524916f0 | 721 | Int_t nClustersITS = esdTrack->GetITSclusters(0); |
a86cf7f4 | 722 | Int_t nClustersTPC = -1; |
723 | if(fCutRequireTPCStandAlone) { | |
724 | nClustersTPC = esdTrack->GetTPCNclsIter1(); | |
725 | } | |
726 | else { | |
727 | nClustersTPC = esdTrack->GetTPCclusters(0); | |
728 | } | |
524916f0 | 729 | |
3128582b | 730 | Int_t nClustersTPCShared = esdTrack->GetTPCnclsS(); |
731 | Float_t fracClustersTPCShared = -1.; | |
732 | ||
73318471 | 733 | Float_t chi2PerClusterITS = -1; |
734 | Float_t chi2PerClusterTPC = -1; | |
735 | if (nClustersITS!=0) | |
736 | chi2PerClusterITS = esdTrack->GetITSchi2()/Float_t(nClustersITS); | |
a86cf7f4 | 737 | if (nClustersTPC!=0) { |
738 | if(fCutRequireTPCStandAlone) { | |
739 | chi2PerClusterTPC = esdTrack->GetTPCchi2Iter1()/Float_t(nClustersTPC); | |
740 | } else { | |
741 | chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC); | |
742 | } | |
3128582b | 743 | fracClustersTPCShared = Float_t(nClustersTPCShared)/Float_t(nClustersTPC); |
a86cf7f4 | 744 | } |
745 | ||
73318471 | 746 | Double_t extCov[15]; |
747 | esdTrack->GetExternalCovariance(extCov); | |
748 | ||
749 | // getting the track to vertex parameters | |
750 | Float_t nSigmaToVertex = GetSigmaToVertex(esdTrack); | |
524916f0 | 751 | |
752 | Float_t b[2]; | |
753 | Float_t bCov[3]; | |
754 | esdTrack->GetImpactParameters(b,bCov); | |
755 | if (bCov[0]<=0 || bCov[2]<=0) { | |
756 | AliDebug(1, "Estimated b resolution lower or equal zero!"); | |
757 | bCov[0]=0; bCov[2]=0; | |
758 | } | |
74687314 | 759 | |
f4e7aa32 | 760 | |
761 | // set pt-dependent DCA cuts, if requested | |
762 | SetPtDepDCACuts(esdTrack->Pt()); | |
763 | ||
764 | ||
e4617f4e | 765 | Float_t dcaToVertexXY = b[0]; |
74687314 | 766 | Float_t dcaToVertexZ = b[1]; |
767 | ||
86f0e195 | 768 | Float_t dcaToVertex = -1; |
769 | ||
770 | if (fCutDCAToVertex2D) | |
771 | { | |
133a5e00 | 772 | dcaToVertex = TMath::Sqrt(dcaToVertexXY*dcaToVertexXY/fCutMaxDCAToVertexXY/fCutMaxDCAToVertexXY + dcaToVertexZ*dcaToVertexZ/fCutMaxDCAToVertexZ/fCutMaxDCAToVertexZ); |
86f0e195 | 773 | } |
774 | else | |
775 | dcaToVertex = TMath::Sqrt(dcaToVertexXY*dcaToVertexXY + dcaToVertexZ*dcaToVertexZ); | |
133a5e00 | 776 | |
73318471 | 777 | // getting the kinematic variables of the track |
778 | // (assuming the mass is known) | |
779 | Double_t p[3]; | |
780 | esdTrack->GetPxPyPz(p); | |
36853ddd | 781 | |
73318471 | 782 | Float_t momentum = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2) + TMath::Power(p[2],2)); |
783 | Float_t pt = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2)); | |
784 | Float_t energy = TMath::Sqrt(TMath::Power(esdTrack->GetMass(),2) + TMath::Power(momentum,2)); | |
785 | ||
73318471 | 786 | //y-eta related calculations |
787 | Float_t eta = -100.; | |
788 | Float_t y = -100.; | |
789 | if((momentum != TMath::Abs(p[2]))&&(momentum != 0)) | |
790 | eta = 0.5*TMath::Log((momentum + p[2])/(momentum - p[2])); | |
791 | if((energy != TMath::Abs(p[2]))&&(momentum != 0)) | |
792 | y = 0.5*TMath::Log((energy + p[2])/(energy - p[2])); | |
025fb458 | 793 | |
4853f638 | 794 | if (extCov[14] < 0) |
795 | { | |
796 | 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]); | |
797 | return kFALSE; | |
798 | } | |
025fb458 | 799 | Float_t relUncertainty1Pt = TMath::Sqrt(extCov[14])*pt; |
73318471 | 800 | |
801 | //######################################################################## | |
802 | // cut the track? | |
803 | ||
804 | Bool_t cuts[kNCuts]; | |
805 | for (Int_t i=0; i<kNCuts; i++) cuts[i]=kFALSE; | |
806 | ||
807 | // track quality cuts | |
808 | if (fCutRequireTPCRefit && (status&AliESDtrack::kTPCrefit)==0) | |
809 | cuts[0]=kTRUE; | |
a86cf7f4 | 810 | if (fCutRequireTPCStandAlone && (status&AliESDtrack::kTPCin)==0) |
73318471 | 811 | cuts[1]=kTRUE; |
a86cf7f4 | 812 | if (fCutRequireITSRefit && (status&AliESDtrack::kITSrefit)==0) |
73318471 | 813 | cuts[2]=kTRUE; |
a86cf7f4 | 814 | if (nClustersTPC<fCutMinNClusterTPC) |
73318471 | 815 | cuts[3]=kTRUE; |
a86cf7f4 | 816 | if (nClustersITS<fCutMinNClusterITS) |
817 | cuts[4]=kTRUE; | |
73318471 | 818 | if (chi2PerClusterTPC>fCutMaxChi2PerClusterTPC) |
a86cf7f4 | 819 | cuts[5]=kTRUE; |
73318471 | 820 | if (chi2PerClusterITS>fCutMaxChi2PerClusterITS) |
a86cf7f4 | 821 | cuts[6]=kTRUE; |
73318471 | 822 | if (extCov[0] > fCutMaxC11) |
73318471 | 823 | cuts[7]=kTRUE; |
a86cf7f4 | 824 | if (extCov[2] > fCutMaxC22) |
73318471 | 825 | cuts[8]=kTRUE; |
a86cf7f4 | 826 | if (extCov[5] > fCutMaxC33) |
73318471 | 827 | cuts[9]=kTRUE; |
a86cf7f4 | 828 | if (extCov[9] > fCutMaxC44) |
73318471 | 829 | cuts[10]=kTRUE; |
a86cf7f4 | 830 | if (extCov[14] > fCutMaxC55) |
831 | cuts[11]=kTRUE; | |
73318471 | 832 | if (nSigmaToVertex > fCutNsigmaToVertex && fCutSigmaToVertexRequired) |
a86cf7f4 | 833 | cuts[12] = kTRUE; |
73318471 | 834 | // if n sigma could not be calculated |
835 | if (nSigmaToVertex<0 && fCutSigmaToVertexRequired) | |
73318471 | 836 | cuts[13]=kTRUE; |
a86cf7f4 | 837 | if (!fCutAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0) |
838 | cuts[14]=kTRUE; | |
73318471 | 839 | // track kinematics cut |
840 | if((momentum < fPMin) || (momentum > fPMax)) | |
a86cf7f4 | 841 | cuts[15]=kTRUE; |
73318471 | 842 | if((pt < fPtMin) || (pt > fPtMax)) |
73318471 | 843 | cuts[16] = kTRUE; |
a86cf7f4 | 844 | if((p[0] < fPxMin) || (p[0] > fPxMax)) |
73318471 | 845 | cuts[17] = kTRUE; |
a86cf7f4 | 846 | if((p[1] < fPyMin) || (p[1] > fPyMax)) |
73318471 | 847 | cuts[18] = kTRUE; |
a86cf7f4 | 848 | if((p[2] < fPzMin) || (p[2] > fPzMax)) |
73318471 | 849 | cuts[19] = kTRUE; |
a86cf7f4 | 850 | if((eta < fEtaMin) || (eta > fEtaMax)) |
73318471 | 851 | cuts[20] = kTRUE; |
a86cf7f4 | 852 | if((y < fRapMin) || (y > fRapMax)) |
524916f0 | 853 | cuts[21] = kTRUE; |
a86cf7f4 | 854 | if (fCutDCAToVertex2D && dcaToVertex > 1) |
e4617f4e | 855 | cuts[22] = kTRUE; |
a86cf7f4 | 856 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexXY) > fCutMaxDCAToVertexXY) |
74687314 | 857 | cuts[23] = kTRUE; |
a86cf7f4 | 858 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexZ) > fCutMaxDCAToVertexZ) |
133a5e00 | 859 | cuts[24] = kTRUE; |
a86cf7f4 | 860 | if (fCutDCAToVertex2D && fCutMinDCAToVertexXY > 0 && fCutMinDCAToVertexZ > 0 && dcaToVertexXY*dcaToVertexXY/fCutMinDCAToVertexXY/fCutMinDCAToVertexXY + dcaToVertexZ*dcaToVertexZ/fCutMinDCAToVertexZ/fCutMinDCAToVertexZ < 1) |
133a5e00 | 861 | cuts[25] = kTRUE; |
a86cf7f4 | 862 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexXY) < fCutMinDCAToVertexXY) |
133a5e00 | 863 | cuts[26] = kTRUE; |
a86cf7f4 | 864 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexZ) < fCutMinDCAToVertexZ) |
865 | cuts[27] = kTRUE; | |
94c06b89 | 866 | |
867 | for (Int_t i = 0; i < 3; i++) | |
a86cf7f4 | 868 | cuts[28+i] = !CheckITSClusterRequirement(fCutClusterRequirementITS[i], esdTrack->HasPointOnITSLayer(i*2), esdTrack->HasPointOnITSLayer(i*2+1)); |
d95684c0 | 869 | |
91cb8e52 | 870 | if (fCutRequireITSStandAlone && ((status & AliESDtrack::kITSin) == 0 || (status & AliESDtrack::kTPCin))) |
3128582b | 871 | cuts[31] = kTRUE; |
f4e7aa32 | 872 | |
873 | if (fCutRejectITSpureSA && (status & AliESDtrack::kITSpureSA)) | |
874 | cuts[31] = kTRUE; | |
875 | ||
876 | ||
025fb458 | 877 | if (relUncertainty1Pt > fCutMaxRel1PtUncertainty) |
3128582b | 878 | cuts[32] = kTRUE; |
879 | ||
880 | if (!fCutAcceptSharedTPCClusters && nClustersTPCShared!=0) | |
881 | cuts[33] = kTRUE; | |
882 | ||
883 | if (fracClustersTPCShared > fCutMaxFractionSharedTPCClusters) | |
884 | cuts[34] = kTRUE; | |
885 | ||
73318471 | 886 | Bool_t cut=kFALSE; |
887 | for (Int_t i=0; i<kNCuts; i++) | |
133a5e00 | 888 | if (cuts[i]) {cut = kTRUE;} |
524916f0 | 889 | |
890 | ||
73318471 | 891 | //######################################################################## |
892 | // filling histograms | |
893 | if (fHistogramsOn) { | |
894 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n tracks"))); | |
73318471 | 895 | if (cut) |
896 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n cut tracks"))); | |
897 | ||
898 | for (Int_t i=0; i<kNCuts; i++) { | |
899 | if (cuts[i]) | |
524916f0 | 900 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin(fgkCutNames[i]))); |
901 | ||
73318471 | 902 | for (Int_t j=i; j<kNCuts; j++) { |
524916f0 | 903 | if (cuts[i] && cuts[j]) { |
904 | Float_t xC = fhCutCorrelation->GetXaxis()->GetBinCenter(fhCutCorrelation->GetXaxis()->FindBin(fgkCutNames[i])); | |
905 | Float_t yC = fhCutCorrelation->GetYaxis()->GetBinCenter(fhCutCorrelation->GetYaxis()->FindBin(fgkCutNames[j])); | |
906 | fhCutCorrelation->Fill(xC, yC); | |
907 | } | |
73318471 | 908 | } |
909 | } | |
73318471 | 910 | } |
911 | ||
524916f0 | 912 | // now we loop over the filling of the histograms twice: once "before" the cut, once "after" |
913 | // the code is not in a function due to too many local variables that would need to be passed | |
73318471 | 914 | |
524916f0 | 915 | for (Int_t id = 0; id < 2; id++) |
916 | { | |
917 | // id = 0 --> before cut | |
918 | // id = 1 --> after cut | |
73318471 | 919 | |
524916f0 | 920 | if (fHistogramsOn) |
73318471 | 921 | { |
524916f0 | 922 | fhNClustersITS[id]->Fill(nClustersITS); |
923 | fhNClustersTPC[id]->Fill(nClustersTPC); | |
924 | fhChi2PerClusterITS[id]->Fill(chi2PerClusterITS); | |
925 | fhChi2PerClusterTPC[id]->Fill(chi2PerClusterTPC); | |
926 | ||
927 | fhC11[id]->Fill(extCov[0]); | |
928 | fhC22[id]->Fill(extCov[2]); | |
929 | fhC33[id]->Fill(extCov[5]); | |
930 | fhC44[id]->Fill(extCov[9]); | |
931 | fhC55[id]->Fill(extCov[14]); | |
932 | ||
025fb458 | 933 | fhRel1PtUncertainty[id]->Fill(relUncertainty1Pt); |
934 | ||
524916f0 | 935 | fhPt[id]->Fill(pt); |
936 | fhEta[id]->Fill(eta); | |
937 | ||
938 | Float_t bRes[2]; | |
939 | bRes[0] = TMath::Sqrt(bCov[0]); | |
940 | bRes[1] = TMath::Sqrt(bCov[2]); | |
941 | ||
942 | fhDZ[id]->Fill(b[1]); | |
943 | fhDXY[id]->Fill(b[0]); | |
944 | fhDXYDZ[id]->Fill(dcaToVertex); | |
945 | fhDXYvsDZ[id]->Fill(b[1],b[0]); | |
946 | ||
947 | if (bRes[0]!=0 && bRes[1]!=0) { | |
948 | fhDZNormalized[id]->Fill(b[1]/bRes[1]); | |
949 | fhDXYNormalized[id]->Fill(b[0]/bRes[0]); | |
950 | fhDXYvsDZNormalized[id]->Fill(b[1]/bRes[1], b[0]/bRes[0]); | |
951 | fhNSigmaToVertex[id]->Fill(nSigmaToVertex); | |
952 | } | |
73318471 | 953 | } |
524916f0 | 954 | |
955 | // cut the track | |
956 | if (cut) | |
957 | return kFALSE; | |
73318471 | 958 | } |
959 | ||
960 | return kTRUE; | |
961 | } | |
962 | ||
94c06b89 | 963 | //____________________________________________________________________ |
964 | Bool_t AliESDtrackCuts::CheckITSClusterRequirement(ITSClusterRequirement req, Bool_t clusterL1, Bool_t clusterL2) | |
965 | { | |
966 | // checks if the cluster requirement is fullfilled (in this case: return kTRUE) | |
967 | ||
968 | switch (req) | |
969 | { | |
970 | case kOff: return kTRUE; | |
971 | case kNone: return !clusterL1 && !clusterL2; | |
972 | case kAny: return clusterL1 || clusterL2; | |
973 | case kFirst: return clusterL1; | |
974 | case kOnlyFirst: return clusterL1 && !clusterL2; | |
975 | case kSecond: return clusterL2; | |
976 | case kOnlySecond: return clusterL2 && !clusterL1; | |
977 | case kBoth: return clusterL1 && clusterL2; | |
978 | } | |
979 | ||
980 | return kFALSE; | |
981 | } | |
982 | ||
73318471 | 983 | //____________________________________________________________________ |
524916f0 | 984 | AliESDtrack* AliESDtrackCuts::GetTPCOnlyTrack(AliESDEvent* esd, Int_t iTrack) |
73318471 | 985 | { |
b7b857f0 | 986 | |
987 | // Utility function to | |
988 | // create a TPC only track from the given esd track | |
989 | // | |
990 | // IMPORTANT: The track has to be deleted by the user | |
73318471 | 991 | // |
524916f0 | 992 | // NB. most of the functionality to get a TPC only track from an ESD track is in AliESDtrack, where it should be |
993 | // there are only missing propagations here that are needed for old data | |
994 | // this function will therefore become obsolete | |
73318471 | 995 | // |
524916f0 | 996 | // adapted from code provided by CKB |
73318471 | 997 | |
524916f0 | 998 | if (!esd->GetPrimaryVertexTPC()) |
999 | return 0; // No TPC vertex no TPC tracks | |
73318471 | 1000 | |
91c88f16 | 1001 | if(!esd->GetPrimaryVertexTPC()->GetStatus()) |
1002 | return 0; // TPC Vertex is created by default in AliESDEvent, do not use in this case | |
91c88f16 | 1003 | |
524916f0 | 1004 | AliESDtrack* track = esd->GetTrack(iTrack); |
1005 | if (!track) | |
1006 | return 0; | |
36853ddd | 1007 | |
524916f0 | 1008 | AliESDtrack *tpcTrack = new AliESDtrack(); |
73318471 | 1009 | |
524916f0 | 1010 | // only true if we have a tpc track |
1011 | if (!track->FillTPCOnlyTrack(*tpcTrack)) | |
1012 | { | |
1013 | delete tpcTrack; | |
1014 | return 0; | |
73318471 | 1015 | } |
1016 | ||
524916f0 | 1017 | // propagate to Vertex |
1018 | // not needed for normal reconstructed ESDs... | |
1019 | // Double_t pTPC[2],covTPC[3]; | |
1020 | // tpcTrack->PropagateToDCA(esd->GetPrimaryVertexTPC(), esd->GetMagneticField(), 10000, pTPC, covTPC); | |
1021 | ||
1022 | return tpcTrack; | |
73318471 | 1023 | } |
1024 | ||
1025 | //____________________________________________________________________ | |
36853ddd | 1026 | TObjArray* AliESDtrackCuts::GetAcceptedTracks(AliESDEvent* esd,Bool_t bTPC) |
73318471 | 1027 | { |
1028 | // | |
1029 | // returns an array of all tracks that pass the cuts | |
36853ddd | 1030 | // or an array of TPC only tracks (propagated to the TPC vertex during reco) |
1031 | // tracks that pass the cut | |
73318471 | 1032 | |
1033 | TObjArray* acceptedTracks = new TObjArray(); | |
1034 | ||
1035 | // loop over esd tracks | |
1036 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
36853ddd | 1037 | if(bTPC){ |
1038 | if(!esd->GetPrimaryVertexTPC())return acceptedTracks; // No TPC vertex no TPC tracks | |
91c88f16 | 1039 | if(!esd->GetPrimaryVertexTPC()->GetStatus())return acceptedTracks; // No proper TPC vertex, only the default |
36853ddd | 1040 | |
524916f0 | 1041 | AliESDtrack *tpcTrack = GetTPCOnlyTrack(esd, iTrack); |
1042 | if (!tpcTrack) | |
1043 | continue; | |
1044 | ||
1045 | if (AcceptTrack(tpcTrack)) { | |
1046 | acceptedTracks->Add(tpcTrack); | |
36853ddd | 1047 | } |
524916f0 | 1048 | else |
1049 | delete tpcTrack; | |
1050 | } | |
1051 | else | |
1052 | { | |
1053 | AliESDtrack* track = esd->GetTrack(iTrack); | |
1054 | if(AcceptTrack(track)) | |
1055 | acceptedTracks->Add(track); | |
36853ddd | 1056 | } |
36853ddd | 1057 | } |
1058 | if(bTPC)acceptedTracks->SetOwner(kTRUE); | |
73318471 | 1059 | return acceptedTracks; |
1060 | } | |
1061 | ||
1062 | //____________________________________________________________________ | |
1063 | Int_t AliESDtrackCuts::CountAcceptedTracks(AliESDEvent* esd) | |
1064 | { | |
1065 | // | |
1066 | // returns an the number of tracks that pass the cuts | |
1067 | // | |
1068 | ||
1069 | Int_t count = 0; | |
1070 | ||
1071 | // loop over esd tracks | |
1072 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
1073 | AliESDtrack* track = esd->GetTrack(iTrack); | |
73318471 | 1074 | if (AcceptTrack(track)) |
1075 | count++; | |
1076 | } | |
1077 | ||
1078 | return count; | |
1079 | } | |
1080 | ||
1081 | //____________________________________________________________________ | |
1082 | void AliESDtrackCuts::DefineHistograms(Int_t color) { | |
1083 | // | |
1084 | // diagnostics histograms are defined | |
1085 | // | |
1086 | ||
1087 | fHistogramsOn=kTRUE; | |
1088 | ||
1089 | Bool_t oldStatus = TH1::AddDirectoryStatus(); | |
1090 | TH1::AddDirectory(kFALSE); | |
1091 | ||
1092 | //################################################################################### | |
1093 | // defining histograms | |
1094 | ||
1095 | fhCutStatistics = new TH1F("cut_statistics","cut statistics",kNCuts+4,-0.5,kNCuts+3.5); | |
1096 | ||
1097 | fhCutStatistics->GetXaxis()->SetBinLabel(1,"n tracks"); | |
1098 | fhCutStatistics->GetXaxis()->SetBinLabel(2,"n cut tracks"); | |
1099 | ||
1100 | fhCutCorrelation = new TH2F("cut_correlation","cut correlation",kNCuts,-0.5,kNCuts-0.5,kNCuts,-0.5,kNCuts-0.5);; | |
1101 | ||
1102 | for (Int_t i=0; i<kNCuts; i++) { | |
1103 | fhCutStatistics->GetXaxis()->SetBinLabel(i+4,fgkCutNames[i]); | |
1104 | fhCutCorrelation->GetXaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
1105 | fhCutCorrelation->GetYaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
0f712a2e | 1106 | } |
73318471 | 1107 | |
1108 | fhCutStatistics ->SetLineColor(color); | |
1109 | fhCutCorrelation ->SetLineColor(color); | |
1110 | fhCutStatistics ->SetLineWidth(2); | |
1111 | fhCutCorrelation ->SetLineWidth(2); | |
1112 | ||
73318471 | 1113 | for (Int_t i=0; i<2; i++) { |
524916f0 | 1114 | fhNClustersITS[i] = new TH1F("nClustersITS" ,"",8,-0.5,7.5); |
1115 | fhNClustersTPC[i] = new TH1F("nClustersTPC" ,"",165,-0.5,164.5); | |
1116 | fhChi2PerClusterITS[i] = new TH1F("chi2PerClusterITS","",500,0,10); | |
1117 | fhChi2PerClusterTPC[i] = new TH1F("chi2PerClusterTPC","",500,0,10); | |
1118 | ||
1119 | fhC11[i] = new TH1F("covMatrixDiagonal11","",2000,0,20); | |
1120 | fhC22[i] = new TH1F("covMatrixDiagonal22","",2000,0,20); | |
0f712a2e | 1121 | fhC33[i] = new TH1F("covMatrixDiagonal33","",1000,0,0.1); |
1122 | fhC44[i] = new TH1F("covMatrixDiagonal44","",1000,0,0.1); | |
524916f0 | 1123 | fhC55[i] = new TH1F("covMatrixDiagonal55","",1000,0,5); |
1124 | ||
025fb458 | 1125 | fhRel1PtUncertainty[i] = new TH1F("rel1PtUncertainty","",1000,0,5); |
1126 | ||
524916f0 | 1127 | fhDXY[i] = new TH1F("dXY" ,"",500,-10,10); |
1128 | fhDZ[i] = new TH1F("dZ" ,"",500,-10,10); | |
1129 | fhDXYDZ[i] = new TH1F("dXYDZ" ,"",500,0,10); | |
1130 | fhDXYvsDZ[i] = new TH2F("dXYvsDZ","",200,-10,10,200,-10,10); | |
1131 | ||
1132 | fhDXYNormalized[i] = new TH1F("dXYNormalized" ,"",500,-10,10); | |
1133 | fhDZNormalized[i] = new TH1F("dZNormalized" ,"",500,-10,10); | |
1134 | fhDXYvsDZNormalized[i] = new TH2F("dXYvsDZNormalized","",200,-10,10,200,-10,10); | |
1135 | ||
1136 | fhNSigmaToVertex[i] = new TH1F("nSigmaToVertex","",500,0,10); | |
1137 | ||
86f0e195 | 1138 | fhPt[i] = new TH1F("pt" ,"p_{T} distribution;p_{T} (GeV/c)", 800, 0.0, 10.0); |
524916f0 | 1139 | fhEta[i] = new TH1F("eta" ,"#eta distribution;#eta",40,-2.0,2.0); |
73318471 | 1140 | |
1141 | fhNClustersITS[i]->SetTitle("n ITS clusters"); | |
1142 | fhNClustersTPC[i]->SetTitle("n TPC clusters"); | |
1143 | fhChi2PerClusterITS[i]->SetTitle("#Chi^{2} per ITS cluster"); | |
1144 | fhChi2PerClusterTPC[i]->SetTitle("#Chi^{2} per TPC cluster"); | |
1145 | ||
1146 | fhC11[i]->SetTitle("cov 11 : #sigma_{y}^{2} [cm^{2}]"); | |
1147 | fhC22[i]->SetTitle("cov 22 : #sigma_{z}^{2} [cm^{2}]"); | |
1148 | fhC33[i]->SetTitle("cov 33 : #sigma_{sin(#phi)}^{2}"); | |
1149 | fhC44[i]->SetTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}"); | |
1150 | fhC55[i]->SetTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]"); | |
1151 | ||
025fb458 | 1152 | fhRel1PtUncertainty[i]->SetTitle("rel. uncertainty of 1/p_{T}"); |
1153 | ||
86f0e195 | 1154 | fhDXY[i]->SetXTitle("transverse impact parameter (cm)"); |
1155 | fhDZ[i]->SetXTitle("longitudinal impact parameter (cm)"); | |
1156 | fhDXYDZ[i]->SetTitle("absolute impact parameter;sqrt(dXY**2 + dZ**2) (cm)"); | |
1157 | fhDXYvsDZ[i]->SetXTitle("longitudinal impact parameter (cm)"); | |
1158 | fhDXYvsDZ[i]->SetYTitle("transverse impact parameter (cm)"); | |
73318471 | 1159 | |
86f0e195 | 1160 | fhDXYNormalized[i]->SetTitle("normalized trans impact par (n#sigma)"); |
1161 | fhDZNormalized[i]->SetTitle("normalized long impact par (n#sigma)"); | |
1162 | fhDXYvsDZNormalized[i]->SetTitle("normalized long impact par (n#sigma)"); | |
1163 | fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par (n#sigma)"); | |
73318471 | 1164 | fhNSigmaToVertex[i]->SetTitle("n #sigma to vertex"); |
1165 | ||
1166 | fhNClustersITS[i]->SetLineColor(color); fhNClustersITS[i]->SetLineWidth(2); | |
1167 | fhNClustersTPC[i]->SetLineColor(color); fhNClustersTPC[i]->SetLineWidth(2); | |
1168 | fhChi2PerClusterITS[i]->SetLineColor(color); fhChi2PerClusterITS[i]->SetLineWidth(2); | |
1169 | fhChi2PerClusterTPC[i]->SetLineColor(color); fhChi2PerClusterTPC[i]->SetLineWidth(2); | |
1170 | ||
1171 | fhC11[i]->SetLineColor(color); fhC11[i]->SetLineWidth(2); | |
1172 | fhC22[i]->SetLineColor(color); fhC22[i]->SetLineWidth(2); | |
1173 | fhC33[i]->SetLineColor(color); fhC33[i]->SetLineWidth(2); | |
1174 | fhC44[i]->SetLineColor(color); fhC44[i]->SetLineWidth(2); | |
1175 | fhC55[i]->SetLineColor(color); fhC55[i]->SetLineWidth(2); | |
1176 | ||
025fb458 | 1177 | fhRel1PtUncertainty[i]->SetLineColor(color); fhRel1PtUncertainty[i]->SetLineWidth(2); |
1178 | ||
73318471 | 1179 | fhDXY[i]->SetLineColor(color); fhDXY[i]->SetLineWidth(2); |
524916f0 | 1180 | fhDZ[i]->SetLineColor(color); fhDZ[i]->SetLineWidth(2); |
1181 | fhDXYDZ[i]->SetLineColor(color); fhDXYDZ[i]->SetLineWidth(2); | |
73318471 | 1182 | |
1183 | fhDXYNormalized[i]->SetLineColor(color); fhDXYNormalized[i]->SetLineWidth(2); | |
1184 | fhDZNormalized[i]->SetLineColor(color); fhDZNormalized[i]->SetLineWidth(2); | |
1185 | fhNSigmaToVertex[i]->SetLineColor(color); fhNSigmaToVertex[i]->SetLineWidth(2); | |
1186 | } | |
1187 | ||
1188 | // The number of sigmas to the vertex is per definition gaussian | |
1189 | ffDTheoretical = new TF1("nSigmaToVertexTheoretical","([0]/2.506628274)*exp(-(x**2)/2)",0,50); | |
1190 | ffDTheoretical->SetParameter(0,1); | |
524916f0 | 1191 | |
73318471 | 1192 | TH1::AddDirectory(oldStatus); |
1193 | } | |
1194 | ||
1195 | //____________________________________________________________________ | |
1196 | Bool_t AliESDtrackCuts::LoadHistograms(const Char_t* dir) | |
1197 | { | |
1198 | // | |
1199 | // loads the histograms from a file | |
1200 | // if dir is empty a directory with the name of this object is taken (like in SaveHistogram) | |
1201 | // | |
1202 | ||
1203 | if (!dir) | |
1204 | dir = GetName(); | |
1205 | ||
1206 | if (!gDirectory->cd(dir)) | |
1207 | return kFALSE; | |
1208 | ||
1209 | ffDTheoretical = dynamic_cast<TF1*> (gDirectory->Get("nSigmaToVertexTheory")); | |
1210 | ||
1211 | fhCutStatistics = dynamic_cast<TH1F*> (gDirectory->Get("cut_statistics")); | |
1212 | fhCutCorrelation = dynamic_cast<TH2F*> (gDirectory->Get("cut_correlation")); | |
1213 | ||
73318471 | 1214 | for (Int_t i=0; i<2; i++) { |
1215 | if (i==0) | |
1216 | { | |
1217 | gDirectory->cd("before_cuts"); | |
73318471 | 1218 | } |
1219 | else | |
73318471 | 1220 | gDirectory->cd("after_cuts"); |
73318471 | 1221 | |
524916f0 | 1222 | fhNClustersITS[i] = dynamic_cast<TH1F*> (gDirectory->Get("nClustersITS" )); |
1223 | fhNClustersTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get("nClustersTPC" )); | |
1224 | fhChi2PerClusterITS[i] = dynamic_cast<TH1F*> (gDirectory->Get("chi2PerClusterITS")); | |
1225 | fhChi2PerClusterTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get("chi2PerClusterTPC")); | |
73318471 | 1226 | |
524916f0 | 1227 | fhC11[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal11")); |
1228 | fhC22[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal22")); | |
1229 | fhC33[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal33")); | |
1230 | fhC44[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal44")); | |
1231 | fhC55[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal55")); | |
73318471 | 1232 | |
025fb458 | 1233 | fhRel1PtUncertainty[i] = dynamic_cast<TH1F*> (gDirectory->Get("rel1PtUncertainty")); |
1234 | ||
524916f0 | 1235 | fhDXY[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXY" )); |
1236 | fhDZ[i] = dynamic_cast<TH1F*> (gDirectory->Get("dZ" )); | |
1237 | fhDXYDZ[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXYDZ")); | |
1238 | fhDXYvsDZ[i] = dynamic_cast<TH2F*> (gDirectory->Get("dXYvsDZ")); | |
73318471 | 1239 | |
524916f0 | 1240 | fhDXYNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXYNormalized" )); |
1241 | fhDZNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get("dZNormalized" )); | |
1242 | fhDXYvsDZNormalized[i] = dynamic_cast<TH2F*> (gDirectory->Get("dXYvsDZNormalized")); | |
1243 | fhNSigmaToVertex[i] = dynamic_cast<TH1F*> (gDirectory->Get("nSigmaToVertex")); | |
73318471 | 1244 | |
524916f0 | 1245 | fhPt[i] = dynamic_cast<TH1F*> (gDirectory->Get("pt")); |
1246 | fhEta[i] = dynamic_cast<TH1F*> (gDirectory->Get("eta")); | |
73318471 | 1247 | |
1248 | gDirectory->cd("../"); | |
1249 | } | |
1250 | ||
1251 | gDirectory->cd(".."); | |
1252 | ||
1253 | return kTRUE; | |
1254 | } | |
1255 | ||
1256 | //____________________________________________________________________ | |
1257 | void AliESDtrackCuts::SaveHistograms(const Char_t* dir) { | |
1258 | // | |
1259 | // saves the histograms in a directory (dir) | |
1260 | // | |
1261 | ||
1262 | if (!fHistogramsOn) { | |
1263 | AliDebug(0, "Histograms not on - cannot save histograms!!!"); | |
1264 | return; | |
1265 | } | |
1266 | ||
1267 | if (!dir) | |
1268 | dir = GetName(); | |
1269 | ||
1270 | gDirectory->mkdir(dir); | |
1271 | gDirectory->cd(dir); | |
1272 | ||
1273 | gDirectory->mkdir("before_cuts"); | |
1274 | gDirectory->mkdir("after_cuts"); | |
1275 | ||
1276 | // a factor of 2 is needed since n sigma is positive | |
1277 | ffDTheoretical->SetParameter(0,2*fhNSigmaToVertex[0]->Integral("width")); | |
1278 | ffDTheoretical->Write("nSigmaToVertexTheory"); | |
1279 | ||
1280 | fhCutStatistics->Write(); | |
1281 | fhCutCorrelation->Write(); | |
1282 | ||
1283 | for (Int_t i=0; i<2; i++) { | |
1284 | if (i==0) | |
1285 | gDirectory->cd("before_cuts"); | |
1286 | else | |
1287 | gDirectory->cd("after_cuts"); | |
1288 | ||
1289 | fhNClustersITS[i] ->Write(); | |
1290 | fhNClustersTPC[i] ->Write(); | |
1291 | fhChi2PerClusterITS[i] ->Write(); | |
1292 | fhChi2PerClusterTPC[i] ->Write(); | |
1293 | ||
1294 | fhC11[i] ->Write(); | |
1295 | fhC22[i] ->Write(); | |
1296 | fhC33[i] ->Write(); | |
1297 | fhC44[i] ->Write(); | |
1298 | fhC55[i] ->Write(); | |
1299 | ||
025fb458 | 1300 | fhRel1PtUncertainty[i] ->Write(); |
1301 | ||
73318471 | 1302 | fhDXY[i] ->Write(); |
1303 | fhDZ[i] ->Write(); | |
524916f0 | 1304 | fhDXYDZ[i] ->Write(); |
73318471 | 1305 | fhDXYvsDZ[i] ->Write(); |
1306 | ||
1307 | fhDXYNormalized[i] ->Write(); | |
1308 | fhDZNormalized[i] ->Write(); | |
1309 | fhDXYvsDZNormalized[i] ->Write(); | |
1310 | fhNSigmaToVertex[i] ->Write(); | |
1311 | ||
1312 | fhPt[i] ->Write(); | |
1313 | fhEta[i] ->Write(); | |
1314 | ||
1315 | gDirectory->cd("../"); | |
1316 | } | |
1317 | ||
1318 | gDirectory->cd("../"); | |
1319 | } | |
1320 | ||
1321 | //____________________________________________________________________ | |
1322 | void AliESDtrackCuts::DrawHistograms() | |
1323 | { | |
1324 | // draws some histograms | |
1325 | ||
1326 | TCanvas* canvas1 = new TCanvas(Form("%s_1", GetName()), "Track Quality Results1", 800, 800); | |
1327 | canvas1->Divide(2, 2); | |
1328 | ||
1329 | canvas1->cd(1); | |
1330 | fhNClustersTPC[0]->SetStats(kFALSE); | |
1331 | fhNClustersTPC[0]->Draw(); | |
1332 | ||
1333 | canvas1->cd(2); | |
1334 | fhChi2PerClusterTPC[0]->SetStats(kFALSE); | |
1335 | fhChi2PerClusterTPC[0]->Draw(); | |
1336 | ||
1337 | canvas1->cd(3); | |
1338 | fhNSigmaToVertex[0]->SetStats(kFALSE); | |
1339 | fhNSigmaToVertex[0]->GetXaxis()->SetRangeUser(0, 10); | |
1340 | fhNSigmaToVertex[0]->Draw(); | |
1341 | ||
1342 | canvas1->SaveAs(Form("%s_%s.gif", GetName(), canvas1->GetName())); | |
1343 | ||
1344 | TCanvas* canvas2 = new TCanvas(Form("%s_2", GetName()), "Track Quality Results2", 1200, 800); | |
1345 | canvas2->Divide(3, 2); | |
1346 | ||
1347 | canvas2->cd(1); | |
1348 | fhC11[0]->SetStats(kFALSE); | |
1349 | gPad->SetLogy(); | |
1350 | fhC11[0]->Draw(); | |
1351 | ||
1352 | canvas2->cd(2); | |
1353 | fhC22[0]->SetStats(kFALSE); | |
1354 | gPad->SetLogy(); | |
1355 | fhC22[0]->Draw(); | |
1356 | ||
1357 | canvas2->cd(3); | |
1358 | fhC33[0]->SetStats(kFALSE); | |
1359 | gPad->SetLogy(); | |
1360 | fhC33[0]->Draw(); | |
1361 | ||
1362 | canvas2->cd(4); | |
1363 | fhC44[0]->SetStats(kFALSE); | |
1364 | gPad->SetLogy(); | |
1365 | fhC44[0]->Draw(); | |
1366 | ||
1367 | canvas2->cd(5); | |
1368 | fhC55[0]->SetStats(kFALSE); | |
1369 | gPad->SetLogy(); | |
1370 | fhC55[0]->Draw(); | |
1371 | ||
025fb458 | 1372 | canvas2->cd(6); |
1373 | fhRel1PtUncertainty[0]->SetStats(kFALSE); | |
1374 | gPad->SetLogy(); | |
1375 | fhRel1PtUncertainty[0]->Draw(); | |
1376 | ||
73318471 | 1377 | canvas2->SaveAs(Form("%s_%s.gif", GetName(), canvas2->GetName())); |
1378 | ||
1379 | TCanvas* canvas3 = new TCanvas(Form("%s_3", GetName()), "Track Quality Results3", 1200, 800); | |
1380 | canvas3->Divide(3, 2); | |
1381 | ||
1382 | canvas3->cd(1); | |
1383 | fhDXY[0]->SetStats(kFALSE); | |
1384 | gPad->SetLogy(); | |
1385 | fhDXY[0]->Draw(); | |
1386 | ||
1387 | canvas3->cd(2); | |
1388 | fhDZ[0]->SetStats(kFALSE); | |
1389 | gPad->SetLogy(); | |
1390 | fhDZ[0]->Draw(); | |
1391 | ||
1392 | canvas3->cd(3); | |
1393 | fhDXYvsDZ[0]->SetStats(kFALSE); | |
1394 | gPad->SetLogz(); | |
1395 | gPad->SetRightMargin(0.15); | |
1396 | fhDXYvsDZ[0]->Draw("COLZ"); | |
1397 | ||
1398 | canvas3->cd(4); | |
1399 | fhDXYNormalized[0]->SetStats(kFALSE); | |
1400 | gPad->SetLogy(); | |
1401 | fhDXYNormalized[0]->Draw(); | |
1402 | ||
1403 | canvas3->cd(5); | |
1404 | fhDZNormalized[0]->SetStats(kFALSE); | |
1405 | gPad->SetLogy(); | |
1406 | fhDZNormalized[0]->Draw(); | |
1407 | ||
1408 | canvas3->cd(6); | |
1409 | fhDXYvsDZNormalized[0]->SetStats(kFALSE); | |
1410 | gPad->SetLogz(); | |
1411 | gPad->SetRightMargin(0.15); | |
1412 | fhDXYvsDZNormalized[0]->Draw("COLZ"); | |
1413 | ||
1414 | canvas3->SaveAs(Form("%s_%s.gif", GetName(), canvas3->GetName())); | |
1415 | ||
1416 | TCanvas* canvas4 = new TCanvas(Form("%s_4", GetName()), "Track Quality Results4", 800, 500); | |
1417 | canvas4->Divide(2, 1); | |
1418 | ||
1419 | canvas4->cd(1); | |
1420 | fhCutStatistics->SetStats(kFALSE); | |
1421 | fhCutStatistics->LabelsOption("v"); | |
1422 | gPad->SetBottomMargin(0.3); | |
1423 | fhCutStatistics->Draw(); | |
1424 | ||
1425 | canvas4->cd(2); | |
1426 | fhCutCorrelation->SetStats(kFALSE); | |
1427 | fhCutCorrelation->LabelsOption("v"); | |
1428 | gPad->SetBottomMargin(0.3); | |
1429 | gPad->SetLeftMargin(0.3); | |
1430 | fhCutCorrelation->Draw("COLZ"); | |
1431 | ||
1432 | canvas4->SaveAs(Form("%s_%s.gif", GetName(), canvas4->GetName())); | |
1433 | ||
1434 | /*canvas->cd(1); | |
1435 | fhDXYvsDZNormalized[0]->SetStats(kFALSE); | |
1436 | fhDXYvsDZNormalized[0]->DrawCopy("COLZ"); | |
1437 | ||
1438 | canvas->cd(2); | |
1439 | fhNClustersTPC[0]->SetStats(kFALSE); | |
1440 | fhNClustersTPC[0]->DrawCopy(); | |
1441 | ||
1442 | canvas->cd(3); | |
1443 | fhChi2PerClusterITS[0]->SetStats(kFALSE); | |
1444 | fhChi2PerClusterITS[0]->DrawCopy(); | |
1445 | fhChi2PerClusterITS[1]->SetLineColor(2); | |
1446 | fhChi2PerClusterITS[1]->DrawCopy("SAME"); | |
1447 | ||
1448 | canvas->cd(4); | |
1449 | fhChi2PerClusterTPC[0]->SetStats(kFALSE); | |
1450 | fhChi2PerClusterTPC[0]->DrawCopy(); | |
1451 | fhChi2PerClusterTPC[1]->SetLineColor(2); | |
1452 | fhChi2PerClusterTPC[1]->DrawCopy("SAME");*/ | |
1453 | } | |
f4e7aa32 | 1454 | //-------------------------------------------------------------------------- |
1455 | void AliESDtrackCuts::SetPtDepDCACuts(Double_t pt) { | |
1456 | // | |
1457 | // set the pt-dependent DCA cuts | |
1458 | // | |
1459 | ||
1460 | if(CheckPtDepDCA(fCutMaxDCAToVertexXYPtDep)) { | |
1461 | TString formula=fCutMaxDCAToVertexXYPtDep; | |
1462 | formula.ReplaceAll("pt","x"); | |
1463 | TFormula dcacut("dcacut",formula.Data()); | |
1464 | fCutMaxDCAToVertexXY=dcacut.Eval(pt); | |
1465 | } | |
1466 | ||
1467 | if(CheckPtDepDCA(fCutMaxDCAToVertexZPtDep)) { | |
1468 | TString formula=fCutMaxDCAToVertexZPtDep; | |
1469 | formula.ReplaceAll("pt","x"); | |
1470 | TFormula dcacut("dcacut",formula.Data()); | |
1471 | fCutMaxDCAToVertexZ=dcacut.Eval(pt); | |
1472 | } | |
1473 | ||
1474 | if(CheckPtDepDCA(fCutMinDCAToVertexXYPtDep)) { | |
1475 | TString formula=fCutMinDCAToVertexXYPtDep; | |
1476 | formula.ReplaceAll("pt","x"); | |
1477 | TFormula dcacut("dcacut",formula.Data()); | |
1478 | fCutMinDCAToVertexXY=dcacut.Eval(pt); | |
1479 | } | |
1480 | ||
1481 | if(CheckPtDepDCA(fCutMinDCAToVertexZPtDep)) { | |
1482 | TString formula=fCutMinDCAToVertexZPtDep; | |
1483 | formula.ReplaceAll("pt","x"); | |
1484 | TFormula dcacut("dcacut",formula.Data()); | |
1485 | fCutMinDCAToVertexZ=dcacut.Eval(pt); | |
1486 | } | |
1487 | ||
1488 | ||
1489 | return; | |
1490 | } | |
1491 | //-------------------------------------------------------------------------- | |
1492 | Bool_t AliESDtrackCuts::CheckPtDepDCA(TString dist,Bool_t print) const { | |
1493 | // | |
1494 | // Check the correctness of the string syntax | |
1495 | // | |
1496 | Bool_t retval=kTRUE; | |
1497 | ||
1498 | if(!dist.Contains("pt")) { | |
1499 | if(print) printf("AliESDtrackCuts::CheckPtDepDCA(): string must contain \"pt\"\n"); | |
1500 | retval= kFALSE; | |
1501 | } | |
1502 | return retval; | |
1503 | } | |
73318471 | 1504 |