]>
Commit | Line | Data |
---|---|---|
73318471 | 1 | /************************************************************************** |
2 | * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * | |
3 | * * | |
4 | * Author: The ALICE Off-line Project. * | |
5 | * Contributors are mentioned in the code where appropriate. * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
74687314 | 8 | * documentation strictly for non-commercial purposes is hereby granted * |
73318471 | 9 | * without fee, provided that the above copyright notice appears in all * |
10 | * copies and that both the copyright notice and this permission notice * | |
11 | * appear in the supporting documentation. The authors make no claims * | |
12 | * about the suitability of this software for any purpose. It is * | |
13 | * provided "as is" without express or implied warranty. * | |
14 | **************************************************************************/ | |
15 | ||
16 | /* $Id: AliESDtrackCuts.cxx 24534 2008-03-16 22:22:11Z fca $ */ | |
17 | ||
18 | #include "AliESDtrackCuts.h" | |
19 | ||
20 | #include <AliESDtrack.h> | |
91c88f16 | 21 | #include <AliESDVertex.h> |
73318471 | 22 | #include <AliESDEvent.h> |
23 | #include <AliLog.h> | |
24 | ||
25 | #include <TTree.h> | |
26 | #include <TCanvas.h> | |
27 | #include <TDirectory.h> | |
d95684c0 | 28 | #include <TH2F.h> |
29 | #include <TF1.h> | |
73318471 | 30 | |
31 | //____________________________________________________________________ | |
32 | ClassImp(AliESDtrackCuts) | |
33 | ||
34 | // Cut names | |
35 | const Char_t* AliESDtrackCuts::fgkCutNames[kNCuts] = { | |
36 | "require TPC refit", | |
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(""), | |
f328399b | 101 | f1CutMaxDCAToVertexXYPtDep(0x0), |
102 | f1CutMaxDCAToVertexZPtDep(0x0), | |
103 | f1CutMinDCAToVertexXYPtDep(0x0), | |
104 | f1CutMinDCAToVertexZPtDep(0x0), | |
86f0e195 | 105 | fCutDCAToVertex2D(0), |
73318471 | 106 | fPMin(0), |
107 | fPMax(0), | |
108 | fPtMin(0), | |
109 | fPtMax(0), | |
110 | fPxMin(0), | |
111 | fPxMax(0), | |
112 | fPyMin(0), | |
113 | fPyMax(0), | |
114 | fPzMin(0), | |
115 | fPzMax(0), | |
116 | fEtaMin(0), | |
117 | fEtaMax(0), | |
118 | fRapMin(0), | |
119 | fRapMax(0), | |
120 | fHistogramsOn(0), | |
121 | ffDTheoretical(0), | |
122 | fhCutStatistics(0), | |
123 | fhCutCorrelation(0) | |
124 | { | |
125 | // | |
126 | // constructor | |
127 | // | |
128 | ||
129 | Init(); | |
130 | ||
131 | //############################################################################## | |
132 | // setting default cuts | |
133 | SetMinNClustersTPC(); | |
134 | SetMinNClustersITS(); | |
135 | SetMaxChi2PerClusterTPC(); | |
136 | SetMaxChi2PerClusterITS(); | |
025fb458 | 137 | SetMaxCovDiagonalElements(); |
138 | SetMaxRel1PtUncertainty(); | |
73318471 | 139 | SetRequireTPCRefit(); |
a86cf7f4 | 140 | SetRequireTPCStandAlone(); |
73318471 | 141 | SetRequireITSRefit(); |
d95684c0 | 142 | SetRequireITSStandAlone(kFALSE); |
58c4f3fb | 143 | SetAcceptKinkDaughters(); |
94c06b89 | 144 | SetMaxNsigmaToVertex(); |
94c06b89 | 145 | SetMaxDCAToVertexXY(); |
146 | SetMaxDCAToVertexZ(); | |
86f0e195 | 147 | SetDCAToVertex2D(); |
133a5e00 | 148 | SetMinDCAToVertexXY(); |
149 | SetMinDCAToVertexZ(); | |
73318471 | 150 | SetPRange(); |
151 | SetPtRange(); | |
152 | SetPxRange(); | |
153 | SetPyRange(); | |
154 | SetPzRange(); | |
155 | SetEtaRange(); | |
156 | SetRapRange(); | |
94c06b89 | 157 | SetClusterRequirementITS(kSPD); |
158 | SetClusterRequirementITS(kSDD); | |
159 | SetClusterRequirementITS(kSSD); | |
73318471 | 160 | |
161 | SetHistogramsOn(); | |
162 | } | |
163 | ||
164 | //_____________________________________________________________________________ | |
165 | AliESDtrackCuts::AliESDtrackCuts(const AliESDtrackCuts &c) : AliAnalysisCuts(c), | |
166 | fCutMinNClusterTPC(0), | |
167 | fCutMinNClusterITS(0), | |
168 | fCutMaxChi2PerClusterTPC(0), | |
169 | fCutMaxChi2PerClusterITS(0), | |
170 | fCutMaxC11(0), | |
171 | fCutMaxC22(0), | |
172 | fCutMaxC33(0), | |
173 | fCutMaxC44(0), | |
174 | fCutMaxC55(0), | |
025fb458 | 175 | fCutMaxRel1PtUncertainty(0), |
73318471 | 176 | fCutAcceptKinkDaughters(0), |
3128582b | 177 | fCutAcceptSharedTPCClusters(0), |
178 | fCutMaxFractionSharedTPCClusters(0), | |
73318471 | 179 | fCutRequireTPCRefit(0), |
a86cf7f4 | 180 | fCutRequireTPCStandAlone(0), |
73318471 | 181 | fCutRequireITSRefit(0), |
d95684c0 | 182 | fCutRequireITSStandAlone(0), |
f4e7aa32 | 183 | fCutRejectITSpureSA(0), |
73318471 | 184 | fCutNsigmaToVertex(0), |
185 | fCutSigmaToVertexRequired(0), | |
133a5e00 | 186 | fCutMaxDCAToVertexXY(0), |
187 | fCutMaxDCAToVertexZ(0), | |
188 | fCutMinDCAToVertexXY(0), | |
189 | fCutMinDCAToVertexZ(0), | |
f4e7aa32 | 190 | fCutMaxDCAToVertexXYPtDep(""), |
191 | fCutMaxDCAToVertexZPtDep(""), | |
192 | fCutMinDCAToVertexXYPtDep(""), | |
193 | fCutMinDCAToVertexZPtDep(""), | |
f328399b | 194 | f1CutMaxDCAToVertexXYPtDep(0x0), |
195 | f1CutMaxDCAToVertexZPtDep(0x0), | |
196 | f1CutMinDCAToVertexXYPtDep(0x0), | |
197 | f1CutMinDCAToVertexZPtDep(0x0), | |
86f0e195 | 198 | fCutDCAToVertex2D(0), |
73318471 | 199 | fPMin(0), |
200 | fPMax(0), | |
201 | fPtMin(0), | |
202 | fPtMax(0), | |
203 | fPxMin(0), | |
204 | fPxMax(0), | |
205 | fPyMin(0), | |
206 | fPyMax(0), | |
207 | fPzMin(0), | |
208 | fPzMax(0), | |
209 | fEtaMin(0), | |
210 | fEtaMax(0), | |
211 | fRapMin(0), | |
212 | fRapMax(0), | |
213 | fHistogramsOn(0), | |
214 | ffDTheoretical(0), | |
215 | fhCutStatistics(0), | |
216 | fhCutCorrelation(0) | |
217 | { | |
218 | // | |
219 | // copy constructor | |
220 | // | |
221 | ||
222 | ((AliESDtrackCuts &) c).Copy(*this); | |
223 | } | |
224 | ||
225 | AliESDtrackCuts::~AliESDtrackCuts() | |
226 | { | |
227 | // | |
228 | // destructor | |
229 | // | |
230 | ||
231 | for (Int_t i=0; i<2; i++) { | |
232 | ||
233 | if (fhNClustersITS[i]) | |
234 | delete fhNClustersITS[i]; | |
235 | if (fhNClustersTPC[i]) | |
236 | delete fhNClustersTPC[i]; | |
237 | if (fhChi2PerClusterITS[i]) | |
238 | delete fhChi2PerClusterITS[i]; | |
239 | if (fhChi2PerClusterTPC[i]) | |
240 | delete fhChi2PerClusterTPC[i]; | |
241 | if (fhC11[i]) | |
242 | delete fhC11[i]; | |
243 | if (fhC22[i]) | |
244 | delete fhC22[i]; | |
245 | if (fhC33[i]) | |
246 | delete fhC33[i]; | |
247 | if (fhC44[i]) | |
248 | delete fhC44[i]; | |
249 | if (fhC55[i]) | |
025fb458 | 250 | delete fhC55[i]; |
251 | ||
252 | if (fhRel1PtUncertainty[i]) | |
253 | delete fhRel1PtUncertainty[i]; | |
73318471 | 254 | |
255 | if (fhDXY[i]) | |
256 | delete fhDXY[i]; | |
257 | if (fhDZ[i]) | |
524916f0 | 258 | delete fhDZ[i]; |
259 | if (fhDXYDZ[i]) | |
260 | delete fhDXYDZ[i]; | |
73318471 | 261 | if (fhDXYvsDZ[i]) |
524916f0 | 262 | delete fhDXYvsDZ[i]; |
263 | ||
73318471 | 264 | if (fhDXYNormalized[i]) |
265 | delete fhDXYNormalized[i]; | |
266 | if (fhDZNormalized[i]) | |
267 | delete fhDZNormalized[i]; | |
268 | if (fhDXYvsDZNormalized[i]) | |
524916f0 | 269 | delete fhDXYvsDZNormalized[i]; |
73318471 | 270 | if (fhNSigmaToVertex[i]) |
271 | delete fhNSigmaToVertex[i]; | |
272 | if (fhPt[i]) | |
273 | delete fhPt[i]; | |
274 | if (fhEta[i]) | |
275 | delete fhEta[i]; | |
276 | } | |
277 | ||
f328399b | 278 | if(f1CutMaxDCAToVertexXYPtDep)delete f1CutMaxDCAToVertexXYPtDep; |
279 | f1CutMaxDCAToVertexXYPtDep = 0; | |
280 | if( f1CutMaxDCAToVertexZPtDep) delete f1CutMaxDCAToVertexZPtDep; | |
281 | f1CutMaxDCAToVertexZPtDep = 0; | |
282 | if( f1CutMinDCAToVertexXYPtDep)delete f1CutMinDCAToVertexXYPtDep; | |
283 | f1CutMinDCAToVertexXYPtDep = 0; | |
284 | if(f1CutMinDCAToVertexZPtDep)delete f1CutMinDCAToVertexZPtDep; | |
285 | f1CutMinDCAToVertexZPtDep = 0; | |
286 | ||
287 | ||
73318471 | 288 | if (ffDTheoretical) |
289 | delete ffDTheoretical; | |
290 | ||
291 | if (fhCutStatistics) | |
292 | delete fhCutStatistics; | |
293 | if (fhCutCorrelation) | |
294 | delete fhCutCorrelation; | |
295 | } | |
296 | ||
297 | void AliESDtrackCuts::Init() | |
298 | { | |
299 | // | |
300 | // sets everything to zero | |
301 | // | |
302 | ||
303 | fCutMinNClusterTPC = 0; | |
304 | fCutMinNClusterITS = 0; | |
305 | ||
306 | fCutMaxChi2PerClusterTPC = 0; | |
307 | fCutMaxChi2PerClusterITS = 0; | |
94c06b89 | 308 | |
309 | for (Int_t i = 0; i < 3; i++) | |
310 | fCutClusterRequirementITS[i] = kOff; | |
73318471 | 311 | |
312 | fCutMaxC11 = 0; | |
313 | fCutMaxC22 = 0; | |
314 | fCutMaxC33 = 0; | |
315 | fCutMaxC44 = 0; | |
316 | fCutMaxC55 = 0; | |
025fb458 | 317 | |
318 | fCutMaxRel1PtUncertainty = 0; | |
73318471 | 319 | |
320 | fCutAcceptKinkDaughters = 0; | |
3128582b | 321 | fCutAcceptSharedTPCClusters = 0; |
322 | fCutMaxFractionSharedTPCClusters = 0; | |
73318471 | 323 | fCutRequireTPCRefit = 0; |
a86cf7f4 | 324 | fCutRequireTPCStandAlone = 0; |
73318471 | 325 | fCutRequireITSRefit = 0; |
d95684c0 | 326 | fCutRequireITSStandAlone = 0; |
f4e7aa32 | 327 | fCutRejectITSpureSA = 0; |
73318471 | 328 | |
329 | fCutNsigmaToVertex = 0; | |
330 | fCutSigmaToVertexRequired = 0; | |
133a5e00 | 331 | fCutMaxDCAToVertexXY = 0; |
332 | fCutMaxDCAToVertexZ = 0; | |
86f0e195 | 333 | fCutDCAToVertex2D = 0; |
133a5e00 | 334 | fCutMinDCAToVertexXY = 0; |
335 | fCutMinDCAToVertexZ = 0; | |
f4e7aa32 | 336 | fCutMaxDCAToVertexXYPtDep = ""; |
337 | fCutMaxDCAToVertexZPtDep = ""; | |
338 | fCutMinDCAToVertexXYPtDep = ""; | |
339 | fCutMinDCAToVertexZPtDep = ""; | |
133a5e00 | 340 | |
f328399b | 341 | if(f1CutMaxDCAToVertexXYPtDep)delete f1CutMaxDCAToVertexXYPtDep; |
342 | f1CutMaxDCAToVertexXYPtDep = 0; | |
343 | if( f1CutMaxDCAToVertexXYPtDep) delete f1CutMaxDCAToVertexXYPtDep; | |
344 | f1CutMaxDCAToVertexXYPtDep = 0; | |
345 | if( f1CutMaxDCAToVertexZPtDep) delete f1CutMaxDCAToVertexZPtDep; | |
346 | f1CutMaxDCAToVertexZPtDep = 0; | |
347 | if( f1CutMinDCAToVertexXYPtDep)delete f1CutMinDCAToVertexXYPtDep; | |
348 | f1CutMinDCAToVertexXYPtDep = 0; | |
349 | if(f1CutMinDCAToVertexZPtDep)delete f1CutMinDCAToVertexZPtDep; | |
350 | f1CutMinDCAToVertexZPtDep = 0; | |
351 | ||
86f0e195 | 352 | |
73318471 | 353 | fPMin = 0; |
354 | fPMax = 0; | |
355 | fPtMin = 0; | |
356 | fPtMax = 0; | |
357 | fPxMin = 0; | |
358 | fPxMax = 0; | |
359 | fPyMin = 0; | |
360 | fPyMax = 0; | |
361 | fPzMin = 0; | |
362 | fPzMax = 0; | |
363 | fEtaMin = 0; | |
364 | fEtaMax = 0; | |
365 | fRapMin = 0; | |
366 | fRapMax = 0; | |
367 | ||
368 | fHistogramsOn = kFALSE; | |
369 | ||
370 | for (Int_t i=0; i<2; ++i) | |
371 | { | |
372 | fhNClustersITS[i] = 0; | |
373 | fhNClustersTPC[i] = 0; | |
374 | ||
375 | fhChi2PerClusterITS[i] = 0; | |
376 | fhChi2PerClusterTPC[i] = 0; | |
377 | ||
378 | fhC11[i] = 0; | |
379 | fhC22[i] = 0; | |
380 | fhC33[i] = 0; | |
381 | fhC44[i] = 0; | |
382 | fhC55[i] = 0; | |
383 | ||
025fb458 | 384 | fhRel1PtUncertainty[i] = 0; |
385 | ||
73318471 | 386 | fhDXY[i] = 0; |
387 | fhDZ[i] = 0; | |
524916f0 | 388 | fhDXYDZ[i] = 0; |
73318471 | 389 | fhDXYvsDZ[i] = 0; |
390 | ||
391 | fhDXYNormalized[i] = 0; | |
392 | fhDZNormalized[i] = 0; | |
393 | fhDXYvsDZNormalized[i] = 0; | |
394 | fhNSigmaToVertex[i] = 0; | |
395 | ||
396 | fhPt[i] = 0; | |
397 | fhEta[i] = 0; | |
398 | } | |
399 | ffDTheoretical = 0; | |
400 | ||
401 | fhCutStatistics = 0; | |
402 | fhCutCorrelation = 0; | |
403 | } | |
404 | ||
405 | //_____________________________________________________________________________ | |
406 | AliESDtrackCuts &AliESDtrackCuts::operator=(const AliESDtrackCuts &c) | |
407 | { | |
408 | // | |
409 | // Assignment operator | |
410 | // | |
411 | ||
412 | if (this != &c) ((AliESDtrackCuts &) c).Copy(*this); | |
413 | return *this; | |
414 | } | |
415 | ||
416 | //_____________________________________________________________________________ | |
417 | void AliESDtrackCuts::Copy(TObject &c) const | |
418 | { | |
419 | // | |
420 | // Copy function | |
421 | // | |
422 | ||
423 | AliESDtrackCuts& target = (AliESDtrackCuts &) c; | |
424 | ||
425 | target.Init(); | |
426 | ||
427 | target.fCutMinNClusterTPC = fCutMinNClusterTPC; | |
428 | target.fCutMinNClusterITS = fCutMinNClusterITS; | |
429 | ||
430 | target.fCutMaxChi2PerClusterTPC = fCutMaxChi2PerClusterTPC; | |
431 | target.fCutMaxChi2PerClusterITS = fCutMaxChi2PerClusterITS; | |
432 | ||
94c06b89 | 433 | for (Int_t i = 0; i < 3; i++) |
434 | target.fCutClusterRequirementITS[i] = fCutClusterRequirementITS[i]; | |
435 | ||
73318471 | 436 | target.fCutMaxC11 = fCutMaxC11; |
437 | target.fCutMaxC22 = fCutMaxC22; | |
438 | target.fCutMaxC33 = fCutMaxC33; | |
439 | target.fCutMaxC44 = fCutMaxC44; | |
440 | target.fCutMaxC55 = fCutMaxC55; | |
441 | ||
025fb458 | 442 | target.fCutMaxRel1PtUncertainty = fCutMaxRel1PtUncertainty; |
443 | ||
73318471 | 444 | target.fCutAcceptKinkDaughters = fCutAcceptKinkDaughters; |
3128582b | 445 | target.fCutAcceptSharedTPCClusters = fCutAcceptSharedTPCClusters; |
446 | target.fCutMaxFractionSharedTPCClusters = fCutMaxFractionSharedTPCClusters; | |
73318471 | 447 | target.fCutRequireTPCRefit = fCutRequireTPCRefit; |
a86cf7f4 | 448 | target.fCutRequireTPCStandAlone = fCutRequireTPCStandAlone; |
73318471 | 449 | target.fCutRequireITSRefit = fCutRequireITSRefit; |
d95684c0 | 450 | target.fCutRequireITSStandAlone = fCutRequireITSStandAlone; |
f4e7aa32 | 451 | target.fCutRejectITSpureSA = fCutRejectITSpureSA; |
73318471 | 452 | |
453 | target.fCutNsigmaToVertex = fCutNsigmaToVertex; | |
454 | target.fCutSigmaToVertexRequired = fCutSigmaToVertexRequired; | |
133a5e00 | 455 | target.fCutMaxDCAToVertexXY = fCutMaxDCAToVertexXY; |
456 | target.fCutMaxDCAToVertexZ = fCutMaxDCAToVertexZ; | |
86f0e195 | 457 | target.fCutDCAToVertex2D = fCutDCAToVertex2D; |
133a5e00 | 458 | target.fCutMinDCAToVertexXY = fCutMinDCAToVertexXY; |
459 | target.fCutMinDCAToVertexZ = fCutMinDCAToVertexZ; | |
f328399b | 460 | |
f4e7aa32 | 461 | target.fCutMaxDCAToVertexXYPtDep = fCutMaxDCAToVertexXYPtDep; |
f328399b | 462 | target.SetMaxDCAToVertexXYPtDep(fCutMaxDCAToVertexXYPtDep.Data()); |
463 | ||
f4e7aa32 | 464 | target.fCutMaxDCAToVertexZPtDep = fCutMaxDCAToVertexZPtDep; |
f328399b | 465 | target.SetMaxDCAToVertexZPtDep(fCutMaxDCAToVertexZPtDep.Data()); |
466 | ||
f4e7aa32 | 467 | target.fCutMinDCAToVertexXYPtDep = fCutMinDCAToVertexXYPtDep; |
f328399b | 468 | target.SetMinDCAToVertexXYPtDep(fCutMinDCAToVertexXYPtDep.Data()); |
469 | ||
f4e7aa32 | 470 | target.fCutMinDCAToVertexZPtDep = fCutMinDCAToVertexZPtDep; |
f328399b | 471 | target.SetMinDCAToVertexZPtDep(fCutMinDCAToVertexZPtDep.Data()); |
73318471 | 472 | |
473 | target.fPMin = fPMin; | |
474 | target.fPMax = fPMax; | |
475 | target.fPtMin = fPtMin; | |
476 | target.fPtMax = fPtMax; | |
477 | target.fPxMin = fPxMin; | |
478 | target.fPxMax = fPxMax; | |
479 | target.fPyMin = fPyMin; | |
480 | target.fPyMax = fPyMax; | |
481 | target.fPzMin = fPzMin; | |
482 | target.fPzMax = fPzMax; | |
483 | target.fEtaMin = fEtaMin; | |
484 | target.fEtaMax = fEtaMax; | |
485 | target.fRapMin = fRapMin; | |
486 | target.fRapMax = fRapMax; | |
487 | ||
488 | target.fHistogramsOn = fHistogramsOn; | |
489 | ||
490 | for (Int_t i=0; i<2; ++i) | |
491 | { | |
492 | if (fhNClustersITS[i]) target.fhNClustersITS[i] = (TH1F*) fhNClustersITS[i]->Clone(); | |
493 | if (fhNClustersTPC[i]) target.fhNClustersTPC[i] = (TH1F*) fhNClustersTPC[i]->Clone(); | |
494 | ||
495 | if (fhChi2PerClusterITS[i]) target.fhChi2PerClusterITS[i] = (TH1F*) fhChi2PerClusterITS[i]->Clone(); | |
496 | if (fhChi2PerClusterTPC[i]) target.fhChi2PerClusterTPC[i] = (TH1F*) fhChi2PerClusterTPC[i]->Clone(); | |
497 | ||
498 | if (fhC11[i]) target.fhC11[i] = (TH1F*) fhC11[i]->Clone(); | |
499 | if (fhC22[i]) target.fhC22[i] = (TH1F*) fhC22[i]->Clone(); | |
500 | if (fhC33[i]) target.fhC33[i] = (TH1F*) fhC33[i]->Clone(); | |
501 | if (fhC44[i]) target.fhC44[i] = (TH1F*) fhC44[i]->Clone(); | |
502 | if (fhC55[i]) target.fhC55[i] = (TH1F*) fhC55[i]->Clone(); | |
503 | ||
025fb458 | 504 | if (fhRel1PtUncertainty[i]) target.fhRel1PtUncertainty[i] = (TH1F*) fhRel1PtUncertainty[i]->Clone(); |
505 | ||
73318471 | 506 | if (fhDXY[i]) target.fhDXY[i] = (TH1F*) fhDXY[i]->Clone(); |
507 | if (fhDZ[i]) target.fhDZ[i] = (TH1F*) fhDZ[i]->Clone(); | |
524916f0 | 508 | if (fhDXYDZ[i]) target.fhDXYDZ[i] = (TH1F*) fhDXYDZ[i]->Clone(); |
73318471 | 509 | if (fhDXYvsDZ[i]) target.fhDXYvsDZ[i] = (TH2F*) fhDXYvsDZ[i]->Clone(); |
510 | ||
511 | if (fhDXYNormalized[i]) target.fhDXYNormalized[i] = (TH1F*) fhDXYNormalized[i]->Clone(); | |
512 | if (fhDZNormalized[i]) target.fhDZNormalized[i] = (TH1F*) fhDZNormalized[i]->Clone(); | |
513 | if (fhDXYvsDZNormalized[i]) target.fhDXYvsDZNormalized[i] = (TH2F*) fhDXYvsDZNormalized[i]->Clone(); | |
514 | if (fhNSigmaToVertex[i]) target.fhNSigmaToVertex[i] = (TH1F*) fhNSigmaToVertex[i]->Clone(); | |
515 | ||
516 | if (fhPt[i]) target.fhPt[i] = (TH1F*) fhPt[i]->Clone(); | |
517 | if (fhEta[i]) target.fhEta[i] = (TH1F*) fhEta[i]->Clone(); | |
518 | } | |
519 | if (ffDTheoretical) target.ffDTheoretical = (TF1*) ffDTheoretical->Clone(); | |
520 | ||
521 | if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone(); | |
522 | if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone(); | |
523 | ||
524 | TNamed::Copy(c); | |
525 | } | |
526 | ||
527 | //_____________________________________________________________________________ | |
528 | Long64_t AliESDtrackCuts::Merge(TCollection* list) { | |
529 | // Merge a list of AliESDtrackCuts objects with this (needed for PROOF) | |
530 | // Returns the number of merged objects (including this) | |
73318471 | 531 | if (!list) |
532 | return 0; | |
73318471 | 533 | if (list->IsEmpty()) |
534 | return 1; | |
73318471 | 535 | if (!fHistogramsOn) |
536 | return 0; | |
73318471 | 537 | TIterator* iter = list->MakeIterator(); |
538 | TObject* obj; | |
539 | ||
73318471 | 540 | // collection of measured and generated histograms |
541 | Int_t count = 0; | |
542 | while ((obj = iter->Next())) { | |
543 | ||
544 | AliESDtrackCuts* entry = dynamic_cast<AliESDtrackCuts*>(obj); | |
545 | if (entry == 0) | |
546 | continue; | |
547 | ||
548 | if (!entry->fHistogramsOn) | |
549 | continue; | |
524916f0 | 550 | |
73318471 | 551 | for (Int_t i=0; i<2; i++) { |
552 | ||
553 | fhNClustersITS[i] ->Add(entry->fhNClustersITS[i] ); | |
554 | fhNClustersTPC[i] ->Add(entry->fhNClustersTPC[i] ); | |
555 | ||
556 | fhChi2PerClusterITS[i] ->Add(entry->fhChi2PerClusterITS[i]); | |
557 | fhChi2PerClusterTPC[i] ->Add(entry->fhChi2PerClusterTPC[i]); | |
558 | ||
559 | fhC11[i] ->Add(entry->fhC11[i] ); | |
560 | fhC22[i] ->Add(entry->fhC22[i] ); | |
561 | fhC33[i] ->Add(entry->fhC33[i] ); | |
562 | fhC44[i] ->Add(entry->fhC44[i] ); | |
025fb458 | 563 | fhC55[i] ->Add(entry->fhC55[i] ); |
564 | ||
565 | fhRel1PtUncertainty[i] ->Add(entry->fhRel1PtUncertainty[i]); | |
73318471 | 566 | |
567 | fhDXY[i] ->Add(entry->fhDXY[i] ); | |
568 | fhDZ[i] ->Add(entry->fhDZ[i] ); | |
524916f0 | 569 | fhDXYDZ[i] ->Add(entry->fhDXYDZ[i] ); |
570 | fhDXYvsDZ[i] ->Add(entry->fhDXYvsDZ[i] ); | |
571 | ||
572 | fhDXYNormalized[i] ->Add(entry->fhDXYNormalized[i] ); | |
73318471 | 573 | fhDZNormalized[i] ->Add(entry->fhDZNormalized[i] ); |
524916f0 | 574 | fhDXYvsDZNormalized[i] ->Add(entry->fhDXYvsDZNormalized[i]); |
73318471 | 575 | fhNSigmaToVertex[i] ->Add(entry->fhNSigmaToVertex[i]); |
576 | ||
577 | fhPt[i] ->Add(entry->fhPt[i]); | |
578 | fhEta[i] ->Add(entry->fhEta[i]); | |
579 | } | |
580 | ||
581 | fhCutStatistics ->Add(entry->fhCutStatistics); | |
582 | fhCutCorrelation ->Add(entry->fhCutCorrelation); | |
583 | ||
584 | count++; | |
585 | } | |
73318471 | 586 | return count+1; |
587 | } | |
588 | ||
1bf80d20 | 589 | //____________________________________________________________________ |
590 | AliESDtrackCuts* AliESDtrackCuts::GetStandardTPCOnlyTrackCuts() | |
591 | { | |
ce3be819 | 592 | // creates an AliESDtrackCuts object and fills it with standard (pre data-taking) values for TPC-only cuts |
1bf80d20 | 593 | |
594 | Printf("AliESDtrackCuts::GetStandardTPCOnlyTrackCuts: Creating track cuts for TPC-only."); | |
595 | ||
596 | AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts; | |
597 | ||
598 | esdTrackCuts->SetMinNClustersTPC(50); | |
599 | esdTrackCuts->SetMaxChi2PerClusterTPC(4); | |
600 | esdTrackCuts->SetAcceptKinkDaughters(kFALSE); | |
601 | ||
602 | esdTrackCuts->SetMaxDCAToVertexZ(3.2); | |
603 | esdTrackCuts->SetMaxDCAToVertexXY(2.4); | |
604 | esdTrackCuts->SetDCAToVertex2D(kTRUE); | |
605 | ||
606 | return esdTrackCuts; | |
607 | } | |
608 | ||
f4e7aa32 | 609 | //____________________________________________________________________ |
610 | AliESDtrackCuts* AliESDtrackCuts::GetStandardITSTPCTrackCuts2009(Bool_t selPrimaries) | |
611 | { | |
612 | // creates an AliESDtrackCuts object and fills it with standard values for ITS-TPC cuts for pp 2009 data | |
613 | ||
614 | Printf("AliESDtrackCuts::GetStandardITSTPCTrackCuts: Creating track cuts for ITS+TPC."); | |
615 | ||
616 | AliESDtrackCuts* esdTrackCuts = new AliESDtrackCuts; | |
617 | ||
618 | // TPC | |
2dc88643 | 619 | esdTrackCuts->SetRequireTPCStandAlone(kTRUE); // to get chi2 and ncls of kTPCin |
f4e7aa32 | 620 | esdTrackCuts->SetMinNClustersTPC(70); |
621 | esdTrackCuts->SetMaxChi2PerClusterTPC(4); | |
622 | esdTrackCuts->SetAcceptKinkDaughters(kFALSE); | |
ce3be819 | 623 | esdTrackCuts->SetRequireTPCRefit(kTRUE); |
f4e7aa32 | 624 | // ITS |
625 | esdTrackCuts->SetRequireITSRefit(kTRUE); | |
626 | esdTrackCuts->SetClusterRequirementITS(AliESDtrackCuts::kSPD, | |
627 | AliESDtrackCuts::kAny); | |
628 | if(selPrimaries) { | |
629 | // 7*(0.0050+0.0060/pt^0.9) | |
630 | esdTrackCuts->SetMaxDCAToVertexXYPtDep("0.0350+0.0420/pt^0.9"); | |
631 | } | |
632 | esdTrackCuts->SetMaxDCAToVertexZ(1.e6); | |
633 | esdTrackCuts->SetDCAToVertex2D(kFALSE); | |
634 | esdTrackCuts->SetRequireSigmaToVertex(kFALSE); | |
635 | //esdTrackCuts->SetEtaRange(-0.8,+0.8); | |
636 | ||
637 | return esdTrackCuts; | |
638 | } | |
639 | ||
1bf80d20 | 640 | //____________________________________________________________________ |
641 | Int_t AliESDtrackCuts::GetReferenceMultiplicity(AliESDEvent* esd, Bool_t tpcOnly) | |
642 | { | |
643 | // Gets reference multiplicity following the standard cuts and a defined fiducial volume | |
644 | // tpcOnly = kTRUE -> consider TPC-only tracks | |
645 | // = kFALSE -> consider global tracks | |
646 | ||
647 | if (!tpcOnly) | |
648 | { | |
649 | Printf("AliESDtrackCuts::GetReferenceMultiplicity: Not implemented for global tracks!"); | |
650 | return -1; | |
651 | } | |
652 | ||
653 | AliESDtrackCuts* esdTrackCuts = GetStandardTPCOnlyTrackCuts(); | |
654 | esdTrackCuts->SetEtaRange(-0.8, 0.8); | |
655 | esdTrackCuts->SetPtRange(0.15); | |
656 | ||
657 | Int_t nTracks = esdTrackCuts->CountAcceptedTracks(esd); | |
658 | ||
659 | delete esdTrackCuts; | |
660 | esdTrackCuts = 0; | |
661 | ||
662 | return nTracks; | |
663 | } | |
73318471 | 664 | |
665 | //____________________________________________________________________ | |
666 | Float_t AliESDtrackCuts::GetSigmaToVertex(AliESDtrack* esdTrack) | |
667 | { | |
668 | // Calculates the number of sigma to the vertex. | |
669 | ||
670 | Float_t b[2]; | |
671 | Float_t bRes[2]; | |
672 | Float_t bCov[3]; | |
673 | esdTrack->GetImpactParameters(b,bCov); | |
36853ddd | 674 | |
73318471 | 675 | if (bCov[0]<=0 || bCov[2]<=0) { |
57fddfbc | 676 | AliDebugClass(1, "Estimated b resolution lower or equal zero!"); |
73318471 | 677 | bCov[0]=0; bCov[2]=0; |
678 | } | |
679 | bRes[0] = TMath::Sqrt(bCov[0]); | |
680 | bRes[1] = TMath::Sqrt(bCov[2]); | |
681 | ||
682 | // ----------------------------------- | |
683 | // How to get to a n-sigma cut? | |
684 | // | |
685 | // The accumulated statistics from 0 to d is | |
686 | // | |
687 | // -> Erf(d/Sqrt(2)) for a 1-dim gauss (d = n_sigma) | |
688 | // -> 1 - Exp(-d**2) for a 2-dim gauss (d*d = dx*dx + dy*dy != n_sigma) | |
689 | // | |
cae2c21a | 690 | // It means that for a 2-dim gauss: n_sigma(d) = Sqrt(2)*ErfInv(1 - Exp((-d**2)/2) |
73318471 | 691 | // Can this be expressed in a different way? |
692 | ||
693 | if (bRes[0] == 0 || bRes[1] ==0) | |
694 | return -1; | |
695 | ||
696 | Float_t d = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2)); | |
697 | ||
0f712a2e | 698 | // work around precision problem |
73318471 | 699 | // if d is too big, TMath::Exp(...) gets 0, and TMath::ErfInverse(1) that should be infinite, gets 0 :( |
0f712a2e | 700 | // 1e-15 corresponds to nsigma ~ 7.7 |
701 | if (TMath::Exp(-d * d / 2) < 1e-15) | |
73318471 | 702 | return 1000; |
703 | ||
0f712a2e | 704 | Float_t nSigma = TMath::ErfInverse(1 - TMath::Exp(-d * d / 2)) * TMath::Sqrt(2); |
705 | return nSigma; | |
73318471 | 706 | } |
707 | ||
708 | void AliESDtrackCuts::EnableNeededBranches(TTree* tree) | |
709 | { | |
710 | // enables the branches needed by AcceptTrack, for a list see comment of AcceptTrack | |
711 | ||
712 | tree->SetBranchStatus("fTracks.fFlags", 1); | |
713 | tree->SetBranchStatus("fTracks.fITSncls", 1); | |
714 | tree->SetBranchStatus("fTracks.fTPCncls", 1); | |
715 | tree->SetBranchStatus("fTracks.fITSchi2", 1); | |
716 | tree->SetBranchStatus("fTracks.fTPCchi2", 1); | |
717 | tree->SetBranchStatus("fTracks.fC*", 1); | |
718 | tree->SetBranchStatus("fTracks.fD", 1); | |
719 | tree->SetBranchStatus("fTracks.fZ", 1); | |
720 | tree->SetBranchStatus("fTracks.fCdd", 1); | |
721 | tree->SetBranchStatus("fTracks.fCdz", 1); | |
722 | tree->SetBranchStatus("fTracks.fCzz", 1); | |
723 | tree->SetBranchStatus("fTracks.fP*", 1); | |
724 | tree->SetBranchStatus("fTracks.fR*", 1); | |
725 | tree->SetBranchStatus("fTracks.fKinkIndexes*", 1); | |
726 | } | |
727 | ||
728 | //____________________________________________________________________ | |
d95684c0 | 729 | Bool_t AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack) |
730 | { | |
73318471 | 731 | // |
732 | // figure out if the tracks survives all the track cuts defined | |
733 | // | |
734 | // the different quality parameter and kinematic values are first | |
735 | // retrieved from the track. then it is found out what cuts the | |
736 | // track did not survive and finally the cuts are imposed. | |
737 | ||
738 | // this function needs the following branches: | |
739 | // fTracks.fFlags | |
740 | // fTracks.fITSncls | |
741 | // fTracks.fTPCncls | |
742 | // fTracks.fITSchi2 | |
743 | // fTracks.fTPCchi2 | |
744 | // fTracks.fC //GetExternalCovariance | |
745 | // fTracks.fD //GetImpactParameters | |
746 | // fTracks.fZ //GetImpactParameters | |
747 | // fTracks.fCdd //GetImpactParameters | |
748 | // fTracks.fCdz //GetImpactParameters | |
749 | // fTracks.fCzz //GetImpactParameters | |
750 | // fTracks.fP //GetPxPyPz | |
751 | // fTracks.fR //GetMass | |
752 | // fTracks.fP //GetMass | |
753 | // fTracks.fKinkIndexes | |
754 | ||
755 | UInt_t status = esdTrack->GetStatus(); | |
756 | ||
73318471 | 757 | // getting quality parameters from the ESD track |
524916f0 | 758 | Int_t nClustersITS = esdTrack->GetITSclusters(0); |
a86cf7f4 | 759 | Int_t nClustersTPC = -1; |
760 | if(fCutRequireTPCStandAlone) { | |
761 | nClustersTPC = esdTrack->GetTPCNclsIter1(); | |
762 | } | |
763 | else { | |
764 | nClustersTPC = esdTrack->GetTPCclusters(0); | |
765 | } | |
524916f0 | 766 | |
3128582b | 767 | Int_t nClustersTPCShared = esdTrack->GetTPCnclsS(); |
768 | Float_t fracClustersTPCShared = -1.; | |
769 | ||
73318471 | 770 | Float_t chi2PerClusterITS = -1; |
771 | Float_t chi2PerClusterTPC = -1; | |
772 | if (nClustersITS!=0) | |
773 | chi2PerClusterITS = esdTrack->GetITSchi2()/Float_t(nClustersITS); | |
a86cf7f4 | 774 | if (nClustersTPC!=0) { |
775 | if(fCutRequireTPCStandAlone) { | |
776 | chi2PerClusterTPC = esdTrack->GetTPCchi2Iter1()/Float_t(nClustersTPC); | |
777 | } else { | |
778 | chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC); | |
779 | } | |
3128582b | 780 | fracClustersTPCShared = Float_t(nClustersTPCShared)/Float_t(nClustersTPC); |
a86cf7f4 | 781 | } |
782 | ||
73318471 | 783 | Double_t extCov[15]; |
784 | esdTrack->GetExternalCovariance(extCov); | |
785 | ||
786 | // getting the track to vertex parameters | |
787 | Float_t nSigmaToVertex = GetSigmaToVertex(esdTrack); | |
524916f0 | 788 | |
789 | Float_t b[2]; | |
790 | Float_t bCov[3]; | |
791 | esdTrack->GetImpactParameters(b,bCov); | |
792 | if (bCov[0]<=0 || bCov[2]<=0) { | |
793 | AliDebug(1, "Estimated b resolution lower or equal zero!"); | |
794 | bCov[0]=0; bCov[2]=0; | |
795 | } | |
74687314 | 796 | |
f4e7aa32 | 797 | |
798 | // set pt-dependent DCA cuts, if requested | |
799 | SetPtDepDCACuts(esdTrack->Pt()); | |
800 | ||
801 | ||
e4617f4e | 802 | Float_t dcaToVertexXY = b[0]; |
74687314 | 803 | Float_t dcaToVertexZ = b[1]; |
804 | ||
86f0e195 | 805 | Float_t dcaToVertex = -1; |
806 | ||
807 | if (fCutDCAToVertex2D) | |
808 | { | |
133a5e00 | 809 | dcaToVertex = TMath::Sqrt(dcaToVertexXY*dcaToVertexXY/fCutMaxDCAToVertexXY/fCutMaxDCAToVertexXY + dcaToVertexZ*dcaToVertexZ/fCutMaxDCAToVertexZ/fCutMaxDCAToVertexZ); |
86f0e195 | 810 | } |
811 | else | |
812 | dcaToVertex = TMath::Sqrt(dcaToVertexXY*dcaToVertexXY + dcaToVertexZ*dcaToVertexZ); | |
133a5e00 | 813 | |
73318471 | 814 | // getting the kinematic variables of the track |
815 | // (assuming the mass is known) | |
816 | Double_t p[3]; | |
817 | esdTrack->GetPxPyPz(p); | |
36853ddd | 818 | |
73318471 | 819 | Float_t momentum = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2) + TMath::Power(p[2],2)); |
820 | Float_t pt = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2)); | |
821 | Float_t energy = TMath::Sqrt(TMath::Power(esdTrack->GetMass(),2) + TMath::Power(momentum,2)); | |
822 | ||
73318471 | 823 | //y-eta related calculations |
824 | Float_t eta = -100.; | |
825 | Float_t y = -100.; | |
826 | if((momentum != TMath::Abs(p[2]))&&(momentum != 0)) | |
827 | eta = 0.5*TMath::Log((momentum + p[2])/(momentum - p[2])); | |
828 | if((energy != TMath::Abs(p[2]))&&(momentum != 0)) | |
829 | y = 0.5*TMath::Log((energy + p[2])/(energy - p[2])); | |
025fb458 | 830 | |
4853f638 | 831 | if (extCov[14] < 0) |
832 | { | |
833 | 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]); | |
834 | return kFALSE; | |
835 | } | |
025fb458 | 836 | Float_t relUncertainty1Pt = TMath::Sqrt(extCov[14])*pt; |
73318471 | 837 | |
838 | //######################################################################## | |
839 | // cut the track? | |
840 | ||
841 | Bool_t cuts[kNCuts]; | |
842 | for (Int_t i=0; i<kNCuts; i++) cuts[i]=kFALSE; | |
843 | ||
844 | // track quality cuts | |
845 | if (fCutRequireTPCRefit && (status&AliESDtrack::kTPCrefit)==0) | |
846 | cuts[0]=kTRUE; | |
a86cf7f4 | 847 | if (fCutRequireTPCStandAlone && (status&AliESDtrack::kTPCin)==0) |
73318471 | 848 | cuts[1]=kTRUE; |
a86cf7f4 | 849 | if (fCutRequireITSRefit && (status&AliESDtrack::kITSrefit)==0) |
73318471 | 850 | cuts[2]=kTRUE; |
a86cf7f4 | 851 | if (nClustersTPC<fCutMinNClusterTPC) |
73318471 | 852 | cuts[3]=kTRUE; |
a86cf7f4 | 853 | if (nClustersITS<fCutMinNClusterITS) |
854 | cuts[4]=kTRUE; | |
73318471 | 855 | if (chi2PerClusterTPC>fCutMaxChi2PerClusterTPC) |
a86cf7f4 | 856 | cuts[5]=kTRUE; |
73318471 | 857 | if (chi2PerClusterITS>fCutMaxChi2PerClusterITS) |
a86cf7f4 | 858 | cuts[6]=kTRUE; |
73318471 | 859 | if (extCov[0] > fCutMaxC11) |
73318471 | 860 | cuts[7]=kTRUE; |
a86cf7f4 | 861 | if (extCov[2] > fCutMaxC22) |
73318471 | 862 | cuts[8]=kTRUE; |
a86cf7f4 | 863 | if (extCov[5] > fCutMaxC33) |
73318471 | 864 | cuts[9]=kTRUE; |
a86cf7f4 | 865 | if (extCov[9] > fCutMaxC44) |
73318471 | 866 | cuts[10]=kTRUE; |
a86cf7f4 | 867 | if (extCov[14] > fCutMaxC55) |
868 | cuts[11]=kTRUE; | |
73318471 | 869 | if (nSigmaToVertex > fCutNsigmaToVertex && fCutSigmaToVertexRequired) |
a86cf7f4 | 870 | cuts[12] = kTRUE; |
73318471 | 871 | // if n sigma could not be calculated |
872 | if (nSigmaToVertex<0 && fCutSigmaToVertexRequired) | |
73318471 | 873 | cuts[13]=kTRUE; |
a86cf7f4 | 874 | if (!fCutAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0) |
875 | cuts[14]=kTRUE; | |
73318471 | 876 | // track kinematics cut |
877 | if((momentum < fPMin) || (momentum > fPMax)) | |
a86cf7f4 | 878 | cuts[15]=kTRUE; |
73318471 | 879 | if((pt < fPtMin) || (pt > fPtMax)) |
73318471 | 880 | cuts[16] = kTRUE; |
a86cf7f4 | 881 | if((p[0] < fPxMin) || (p[0] > fPxMax)) |
73318471 | 882 | cuts[17] = kTRUE; |
a86cf7f4 | 883 | if((p[1] < fPyMin) || (p[1] > fPyMax)) |
73318471 | 884 | cuts[18] = kTRUE; |
a86cf7f4 | 885 | if((p[2] < fPzMin) || (p[2] > fPzMax)) |
73318471 | 886 | cuts[19] = kTRUE; |
a86cf7f4 | 887 | if((eta < fEtaMin) || (eta > fEtaMax)) |
73318471 | 888 | cuts[20] = kTRUE; |
a86cf7f4 | 889 | if((y < fRapMin) || (y > fRapMax)) |
524916f0 | 890 | cuts[21] = kTRUE; |
a86cf7f4 | 891 | if (fCutDCAToVertex2D && dcaToVertex > 1) |
e4617f4e | 892 | cuts[22] = kTRUE; |
a86cf7f4 | 893 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexXY) > fCutMaxDCAToVertexXY) |
74687314 | 894 | cuts[23] = kTRUE; |
a86cf7f4 | 895 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexZ) > fCutMaxDCAToVertexZ) |
133a5e00 | 896 | cuts[24] = kTRUE; |
a86cf7f4 | 897 | if (fCutDCAToVertex2D && fCutMinDCAToVertexXY > 0 && fCutMinDCAToVertexZ > 0 && dcaToVertexXY*dcaToVertexXY/fCutMinDCAToVertexXY/fCutMinDCAToVertexXY + dcaToVertexZ*dcaToVertexZ/fCutMinDCAToVertexZ/fCutMinDCAToVertexZ < 1) |
133a5e00 | 898 | cuts[25] = kTRUE; |
a86cf7f4 | 899 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexXY) < fCutMinDCAToVertexXY) |
133a5e00 | 900 | cuts[26] = kTRUE; |
a86cf7f4 | 901 | if (!fCutDCAToVertex2D && TMath::Abs(dcaToVertexZ) < fCutMinDCAToVertexZ) |
902 | cuts[27] = kTRUE; | |
94c06b89 | 903 | |
904 | for (Int_t i = 0; i < 3; i++) | |
a86cf7f4 | 905 | cuts[28+i] = !CheckITSClusterRequirement(fCutClusterRequirementITS[i], esdTrack->HasPointOnITSLayer(i*2), esdTrack->HasPointOnITSLayer(i*2+1)); |
d95684c0 | 906 | |
91cb8e52 | 907 | if (fCutRequireITSStandAlone && ((status & AliESDtrack::kITSin) == 0 || (status & AliESDtrack::kTPCin))) |
3128582b | 908 | cuts[31] = kTRUE; |
f4e7aa32 | 909 | |
910 | if (fCutRejectITSpureSA && (status & AliESDtrack::kITSpureSA)) | |
911 | cuts[31] = kTRUE; | |
912 | ||
913 | ||
025fb458 | 914 | if (relUncertainty1Pt > fCutMaxRel1PtUncertainty) |
3128582b | 915 | cuts[32] = kTRUE; |
916 | ||
917 | if (!fCutAcceptSharedTPCClusters && nClustersTPCShared!=0) | |
918 | cuts[33] = kTRUE; | |
919 | ||
920 | if (fracClustersTPCShared > fCutMaxFractionSharedTPCClusters) | |
921 | cuts[34] = kTRUE; | |
922 | ||
73318471 | 923 | Bool_t cut=kFALSE; |
924 | for (Int_t i=0; i<kNCuts; i++) | |
133a5e00 | 925 | if (cuts[i]) {cut = kTRUE;} |
524916f0 | 926 | |
927 | ||
73318471 | 928 | //######################################################################## |
929 | // filling histograms | |
930 | if (fHistogramsOn) { | |
931 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n tracks"))); | |
73318471 | 932 | if (cut) |
933 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n cut tracks"))); | |
934 | ||
935 | for (Int_t i=0; i<kNCuts; i++) { | |
936 | if (cuts[i]) | |
524916f0 | 937 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin(fgkCutNames[i]))); |
938 | ||
73318471 | 939 | for (Int_t j=i; j<kNCuts; j++) { |
524916f0 | 940 | if (cuts[i] && cuts[j]) { |
941 | Float_t xC = fhCutCorrelation->GetXaxis()->GetBinCenter(fhCutCorrelation->GetXaxis()->FindBin(fgkCutNames[i])); | |
942 | Float_t yC = fhCutCorrelation->GetYaxis()->GetBinCenter(fhCutCorrelation->GetYaxis()->FindBin(fgkCutNames[j])); | |
943 | fhCutCorrelation->Fill(xC, yC); | |
944 | } | |
73318471 | 945 | } |
946 | } | |
73318471 | 947 | } |
948 | ||
524916f0 | 949 | // now we loop over the filling of the histograms twice: once "before" the cut, once "after" |
950 | // the code is not in a function due to too many local variables that would need to be passed | |
73318471 | 951 | |
524916f0 | 952 | for (Int_t id = 0; id < 2; id++) |
953 | { | |
954 | // id = 0 --> before cut | |
955 | // id = 1 --> after cut | |
73318471 | 956 | |
524916f0 | 957 | if (fHistogramsOn) |
73318471 | 958 | { |
524916f0 | 959 | fhNClustersITS[id]->Fill(nClustersITS); |
960 | fhNClustersTPC[id]->Fill(nClustersTPC); | |
961 | fhChi2PerClusterITS[id]->Fill(chi2PerClusterITS); | |
962 | fhChi2PerClusterTPC[id]->Fill(chi2PerClusterTPC); | |
963 | ||
964 | fhC11[id]->Fill(extCov[0]); | |
965 | fhC22[id]->Fill(extCov[2]); | |
966 | fhC33[id]->Fill(extCov[5]); | |
967 | fhC44[id]->Fill(extCov[9]); | |
968 | fhC55[id]->Fill(extCov[14]); | |
969 | ||
025fb458 | 970 | fhRel1PtUncertainty[id]->Fill(relUncertainty1Pt); |
971 | ||
524916f0 | 972 | fhPt[id]->Fill(pt); |
973 | fhEta[id]->Fill(eta); | |
974 | ||
975 | Float_t bRes[2]; | |
976 | bRes[0] = TMath::Sqrt(bCov[0]); | |
977 | bRes[1] = TMath::Sqrt(bCov[2]); | |
978 | ||
979 | fhDZ[id]->Fill(b[1]); | |
980 | fhDXY[id]->Fill(b[0]); | |
981 | fhDXYDZ[id]->Fill(dcaToVertex); | |
982 | fhDXYvsDZ[id]->Fill(b[1],b[0]); | |
983 | ||
984 | if (bRes[0]!=0 && bRes[1]!=0) { | |
985 | fhDZNormalized[id]->Fill(b[1]/bRes[1]); | |
986 | fhDXYNormalized[id]->Fill(b[0]/bRes[0]); | |
987 | fhDXYvsDZNormalized[id]->Fill(b[1]/bRes[1], b[0]/bRes[0]); | |
988 | fhNSigmaToVertex[id]->Fill(nSigmaToVertex); | |
989 | } | |
73318471 | 990 | } |
524916f0 | 991 | |
992 | // cut the track | |
993 | if (cut) | |
994 | return kFALSE; | |
73318471 | 995 | } |
996 | ||
997 | return kTRUE; | |
998 | } | |
999 | ||
94c06b89 | 1000 | //____________________________________________________________________ |
1001 | Bool_t AliESDtrackCuts::CheckITSClusterRequirement(ITSClusterRequirement req, Bool_t clusterL1, Bool_t clusterL2) | |
1002 | { | |
1003 | // checks if the cluster requirement is fullfilled (in this case: return kTRUE) | |
1004 | ||
1005 | switch (req) | |
1006 | { | |
1007 | case kOff: return kTRUE; | |
1008 | case kNone: return !clusterL1 && !clusterL2; | |
1009 | case kAny: return clusterL1 || clusterL2; | |
1010 | case kFirst: return clusterL1; | |
1011 | case kOnlyFirst: return clusterL1 && !clusterL2; | |
1012 | case kSecond: return clusterL2; | |
1013 | case kOnlySecond: return clusterL2 && !clusterL1; | |
1014 | case kBoth: return clusterL1 && clusterL2; | |
1015 | } | |
1016 | ||
1017 | return kFALSE; | |
1018 | } | |
1019 | ||
73318471 | 1020 | //____________________________________________________________________ |
524916f0 | 1021 | AliESDtrack* AliESDtrackCuts::GetTPCOnlyTrack(AliESDEvent* esd, Int_t iTrack) |
73318471 | 1022 | { |
b7b857f0 | 1023 | |
1024 | // Utility function to | |
1025 | // create a TPC only track from the given esd track | |
1026 | // | |
1027 | // IMPORTANT: The track has to be deleted by the user | |
73318471 | 1028 | // |
524916f0 | 1029 | // NB. most of the functionality to get a TPC only track from an ESD track is in AliESDtrack, where it should be |
1030 | // there are only missing propagations here that are needed for old data | |
1031 | // this function will therefore become obsolete | |
73318471 | 1032 | // |
524916f0 | 1033 | // adapted from code provided by CKB |
73318471 | 1034 | |
524916f0 | 1035 | if (!esd->GetPrimaryVertexTPC()) |
1036 | return 0; // No TPC vertex no TPC tracks | |
73318471 | 1037 | |
91c88f16 | 1038 | if(!esd->GetPrimaryVertexTPC()->GetStatus()) |
1039 | return 0; // TPC Vertex is created by default in AliESDEvent, do not use in this case | |
91c88f16 | 1040 | |
524916f0 | 1041 | AliESDtrack* track = esd->GetTrack(iTrack); |
1042 | if (!track) | |
1043 | return 0; | |
36853ddd | 1044 | |
524916f0 | 1045 | AliESDtrack *tpcTrack = new AliESDtrack(); |
73318471 | 1046 | |
524916f0 | 1047 | // only true if we have a tpc track |
1048 | if (!track->FillTPCOnlyTrack(*tpcTrack)) | |
1049 | { | |
1050 | delete tpcTrack; | |
1051 | return 0; | |
73318471 | 1052 | } |
1053 | ||
524916f0 | 1054 | // propagate to Vertex |
1055 | // not needed for normal reconstructed ESDs... | |
1056 | // Double_t pTPC[2],covTPC[3]; | |
1057 | // tpcTrack->PropagateToDCA(esd->GetPrimaryVertexTPC(), esd->GetMagneticField(), 10000, pTPC, covTPC); | |
1058 | ||
1059 | return tpcTrack; | |
73318471 | 1060 | } |
1061 | ||
1062 | //____________________________________________________________________ | |
36853ddd | 1063 | TObjArray* AliESDtrackCuts::GetAcceptedTracks(AliESDEvent* esd,Bool_t bTPC) |
73318471 | 1064 | { |
1065 | // | |
1066 | // returns an array of all tracks that pass the cuts | |
36853ddd | 1067 | // or an array of TPC only tracks (propagated to the TPC vertex during reco) |
1068 | // tracks that pass the cut | |
73318471 | 1069 | |
1070 | TObjArray* acceptedTracks = new TObjArray(); | |
1071 | ||
1072 | // loop over esd tracks | |
1073 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
36853ddd | 1074 | if(bTPC){ |
1075 | if(!esd->GetPrimaryVertexTPC())return acceptedTracks; // No TPC vertex no TPC tracks | |
91c88f16 | 1076 | if(!esd->GetPrimaryVertexTPC()->GetStatus())return acceptedTracks; // No proper TPC vertex, only the default |
36853ddd | 1077 | |
524916f0 | 1078 | AliESDtrack *tpcTrack = GetTPCOnlyTrack(esd, iTrack); |
1079 | if (!tpcTrack) | |
1080 | continue; | |
1081 | ||
1082 | if (AcceptTrack(tpcTrack)) { | |
1083 | acceptedTracks->Add(tpcTrack); | |
36853ddd | 1084 | } |
524916f0 | 1085 | else |
1086 | delete tpcTrack; | |
1087 | } | |
1088 | else | |
1089 | { | |
1090 | AliESDtrack* track = esd->GetTrack(iTrack); | |
1091 | if(AcceptTrack(track)) | |
1092 | acceptedTracks->Add(track); | |
36853ddd | 1093 | } |
36853ddd | 1094 | } |
1095 | if(bTPC)acceptedTracks->SetOwner(kTRUE); | |
73318471 | 1096 | return acceptedTracks; |
1097 | } | |
1098 | ||
1099 | //____________________________________________________________________ | |
1100 | Int_t AliESDtrackCuts::CountAcceptedTracks(AliESDEvent* esd) | |
1101 | { | |
1102 | // | |
1103 | // returns an the number of tracks that pass the cuts | |
1104 | // | |
1105 | ||
1106 | Int_t count = 0; | |
1107 | ||
1108 | // loop over esd tracks | |
1109 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
1110 | AliESDtrack* track = esd->GetTrack(iTrack); | |
73318471 | 1111 | if (AcceptTrack(track)) |
1112 | count++; | |
1113 | } | |
1114 | ||
1115 | return count; | |
1116 | } | |
1117 | ||
1118 | //____________________________________________________________________ | |
1119 | void AliESDtrackCuts::DefineHistograms(Int_t color) { | |
1120 | // | |
1121 | // diagnostics histograms are defined | |
1122 | // | |
1123 | ||
1124 | fHistogramsOn=kTRUE; | |
1125 | ||
1126 | Bool_t oldStatus = TH1::AddDirectoryStatus(); | |
1127 | TH1::AddDirectory(kFALSE); | |
1128 | ||
1129 | //################################################################################### | |
1130 | // defining histograms | |
1131 | ||
1132 | fhCutStatistics = new TH1F("cut_statistics","cut statistics",kNCuts+4,-0.5,kNCuts+3.5); | |
1133 | ||
1134 | fhCutStatistics->GetXaxis()->SetBinLabel(1,"n tracks"); | |
1135 | fhCutStatistics->GetXaxis()->SetBinLabel(2,"n cut tracks"); | |
1136 | ||
1137 | fhCutCorrelation = new TH2F("cut_correlation","cut correlation",kNCuts,-0.5,kNCuts-0.5,kNCuts,-0.5,kNCuts-0.5);; | |
1138 | ||
1139 | for (Int_t i=0; i<kNCuts; i++) { | |
1140 | fhCutStatistics->GetXaxis()->SetBinLabel(i+4,fgkCutNames[i]); | |
1141 | fhCutCorrelation->GetXaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
1142 | fhCutCorrelation->GetYaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
0f712a2e | 1143 | } |
73318471 | 1144 | |
1145 | fhCutStatistics ->SetLineColor(color); | |
1146 | fhCutCorrelation ->SetLineColor(color); | |
1147 | fhCutStatistics ->SetLineWidth(2); | |
1148 | fhCutCorrelation ->SetLineWidth(2); | |
1149 | ||
73318471 | 1150 | for (Int_t i=0; i<2; i++) { |
524916f0 | 1151 | fhNClustersITS[i] = new TH1F("nClustersITS" ,"",8,-0.5,7.5); |
1152 | fhNClustersTPC[i] = new TH1F("nClustersTPC" ,"",165,-0.5,164.5); | |
1153 | fhChi2PerClusterITS[i] = new TH1F("chi2PerClusterITS","",500,0,10); | |
1154 | fhChi2PerClusterTPC[i] = new TH1F("chi2PerClusterTPC","",500,0,10); | |
1155 | ||
1156 | fhC11[i] = new TH1F("covMatrixDiagonal11","",2000,0,20); | |
1157 | fhC22[i] = new TH1F("covMatrixDiagonal22","",2000,0,20); | |
0f712a2e | 1158 | fhC33[i] = new TH1F("covMatrixDiagonal33","",1000,0,0.1); |
1159 | fhC44[i] = new TH1F("covMatrixDiagonal44","",1000,0,0.1); | |
524916f0 | 1160 | fhC55[i] = new TH1F("covMatrixDiagonal55","",1000,0,5); |
1161 | ||
025fb458 | 1162 | fhRel1PtUncertainty[i] = new TH1F("rel1PtUncertainty","",1000,0,5); |
1163 | ||
524916f0 | 1164 | fhDXY[i] = new TH1F("dXY" ,"",500,-10,10); |
1165 | fhDZ[i] = new TH1F("dZ" ,"",500,-10,10); | |
1166 | fhDXYDZ[i] = new TH1F("dXYDZ" ,"",500,0,10); | |
1167 | fhDXYvsDZ[i] = new TH2F("dXYvsDZ","",200,-10,10,200,-10,10); | |
1168 | ||
1169 | fhDXYNormalized[i] = new TH1F("dXYNormalized" ,"",500,-10,10); | |
1170 | fhDZNormalized[i] = new TH1F("dZNormalized" ,"",500,-10,10); | |
1171 | fhDXYvsDZNormalized[i] = new TH2F("dXYvsDZNormalized","",200,-10,10,200,-10,10); | |
1172 | ||
1173 | fhNSigmaToVertex[i] = new TH1F("nSigmaToVertex","",500,0,10); | |
1174 | ||
86f0e195 | 1175 | fhPt[i] = new TH1F("pt" ,"p_{T} distribution;p_{T} (GeV/c)", 800, 0.0, 10.0); |
524916f0 | 1176 | fhEta[i] = new TH1F("eta" ,"#eta distribution;#eta",40,-2.0,2.0); |
73318471 | 1177 | |
1178 | fhNClustersITS[i]->SetTitle("n ITS clusters"); | |
1179 | fhNClustersTPC[i]->SetTitle("n TPC clusters"); | |
1180 | fhChi2PerClusterITS[i]->SetTitle("#Chi^{2} per ITS cluster"); | |
1181 | fhChi2PerClusterTPC[i]->SetTitle("#Chi^{2} per TPC cluster"); | |
1182 | ||
1183 | fhC11[i]->SetTitle("cov 11 : #sigma_{y}^{2} [cm^{2}]"); | |
1184 | fhC22[i]->SetTitle("cov 22 : #sigma_{z}^{2} [cm^{2}]"); | |
1185 | fhC33[i]->SetTitle("cov 33 : #sigma_{sin(#phi)}^{2}"); | |
1186 | fhC44[i]->SetTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}"); | |
1187 | fhC55[i]->SetTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]"); | |
1188 | ||
025fb458 | 1189 | fhRel1PtUncertainty[i]->SetTitle("rel. uncertainty of 1/p_{T}"); |
1190 | ||
86f0e195 | 1191 | fhDXY[i]->SetXTitle("transverse impact parameter (cm)"); |
1192 | fhDZ[i]->SetXTitle("longitudinal impact parameter (cm)"); | |
1193 | fhDXYDZ[i]->SetTitle("absolute impact parameter;sqrt(dXY**2 + dZ**2) (cm)"); | |
1194 | fhDXYvsDZ[i]->SetXTitle("longitudinal impact parameter (cm)"); | |
1195 | fhDXYvsDZ[i]->SetYTitle("transverse impact parameter (cm)"); | |
73318471 | 1196 | |
86f0e195 | 1197 | fhDXYNormalized[i]->SetTitle("normalized trans impact par (n#sigma)"); |
1198 | fhDZNormalized[i]->SetTitle("normalized long impact par (n#sigma)"); | |
1199 | fhDXYvsDZNormalized[i]->SetTitle("normalized long impact par (n#sigma)"); | |
1200 | fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par (n#sigma)"); | |
73318471 | 1201 | fhNSigmaToVertex[i]->SetTitle("n #sigma to vertex"); |
1202 | ||
1203 | fhNClustersITS[i]->SetLineColor(color); fhNClustersITS[i]->SetLineWidth(2); | |
1204 | fhNClustersTPC[i]->SetLineColor(color); fhNClustersTPC[i]->SetLineWidth(2); | |
1205 | fhChi2PerClusterITS[i]->SetLineColor(color); fhChi2PerClusterITS[i]->SetLineWidth(2); | |
1206 | fhChi2PerClusterTPC[i]->SetLineColor(color); fhChi2PerClusterTPC[i]->SetLineWidth(2); | |
1207 | ||
1208 | fhC11[i]->SetLineColor(color); fhC11[i]->SetLineWidth(2); | |
1209 | fhC22[i]->SetLineColor(color); fhC22[i]->SetLineWidth(2); | |
1210 | fhC33[i]->SetLineColor(color); fhC33[i]->SetLineWidth(2); | |
1211 | fhC44[i]->SetLineColor(color); fhC44[i]->SetLineWidth(2); | |
1212 | fhC55[i]->SetLineColor(color); fhC55[i]->SetLineWidth(2); | |
1213 | ||
025fb458 | 1214 | fhRel1PtUncertainty[i]->SetLineColor(color); fhRel1PtUncertainty[i]->SetLineWidth(2); |
1215 | ||
73318471 | 1216 | fhDXY[i]->SetLineColor(color); fhDXY[i]->SetLineWidth(2); |
524916f0 | 1217 | fhDZ[i]->SetLineColor(color); fhDZ[i]->SetLineWidth(2); |
1218 | fhDXYDZ[i]->SetLineColor(color); fhDXYDZ[i]->SetLineWidth(2); | |
73318471 | 1219 | |
1220 | fhDXYNormalized[i]->SetLineColor(color); fhDXYNormalized[i]->SetLineWidth(2); | |
1221 | fhDZNormalized[i]->SetLineColor(color); fhDZNormalized[i]->SetLineWidth(2); | |
1222 | fhNSigmaToVertex[i]->SetLineColor(color); fhNSigmaToVertex[i]->SetLineWidth(2); | |
1223 | } | |
1224 | ||
1225 | // The number of sigmas to the vertex is per definition gaussian | |
1226 | ffDTheoretical = new TF1("nSigmaToVertexTheoretical","([0]/2.506628274)*exp(-(x**2)/2)",0,50); | |
1227 | ffDTheoretical->SetParameter(0,1); | |
524916f0 | 1228 | |
73318471 | 1229 | TH1::AddDirectory(oldStatus); |
1230 | } | |
1231 | ||
1232 | //____________________________________________________________________ | |
1233 | Bool_t AliESDtrackCuts::LoadHistograms(const Char_t* dir) | |
1234 | { | |
1235 | // | |
1236 | // loads the histograms from a file | |
1237 | // if dir is empty a directory with the name of this object is taken (like in SaveHistogram) | |
1238 | // | |
1239 | ||
1240 | if (!dir) | |
1241 | dir = GetName(); | |
1242 | ||
1243 | if (!gDirectory->cd(dir)) | |
1244 | return kFALSE; | |
1245 | ||
1246 | ffDTheoretical = dynamic_cast<TF1*> (gDirectory->Get("nSigmaToVertexTheory")); | |
1247 | ||
1248 | fhCutStatistics = dynamic_cast<TH1F*> (gDirectory->Get("cut_statistics")); | |
1249 | fhCutCorrelation = dynamic_cast<TH2F*> (gDirectory->Get("cut_correlation")); | |
1250 | ||
73318471 | 1251 | for (Int_t i=0; i<2; i++) { |
1252 | if (i==0) | |
1253 | { | |
1254 | gDirectory->cd("before_cuts"); | |
73318471 | 1255 | } |
1256 | else | |
73318471 | 1257 | gDirectory->cd("after_cuts"); |
73318471 | 1258 | |
524916f0 | 1259 | fhNClustersITS[i] = dynamic_cast<TH1F*> (gDirectory->Get("nClustersITS" )); |
1260 | fhNClustersTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get("nClustersTPC" )); | |
1261 | fhChi2PerClusterITS[i] = dynamic_cast<TH1F*> (gDirectory->Get("chi2PerClusterITS")); | |
1262 | fhChi2PerClusterTPC[i] = dynamic_cast<TH1F*> (gDirectory->Get("chi2PerClusterTPC")); | |
73318471 | 1263 | |
524916f0 | 1264 | fhC11[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal11")); |
1265 | fhC22[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal22")); | |
1266 | fhC33[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal33")); | |
1267 | fhC44[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal44")); | |
1268 | fhC55[i] = dynamic_cast<TH1F*> (gDirectory->Get("covMatrixDiagonal55")); | |
73318471 | 1269 | |
025fb458 | 1270 | fhRel1PtUncertainty[i] = dynamic_cast<TH1F*> (gDirectory->Get("rel1PtUncertainty")); |
1271 | ||
524916f0 | 1272 | fhDXY[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXY" )); |
1273 | fhDZ[i] = dynamic_cast<TH1F*> (gDirectory->Get("dZ" )); | |
1274 | fhDXYDZ[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXYDZ")); | |
1275 | fhDXYvsDZ[i] = dynamic_cast<TH2F*> (gDirectory->Get("dXYvsDZ")); | |
73318471 | 1276 | |
524916f0 | 1277 | fhDXYNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get("dXYNormalized" )); |
1278 | fhDZNormalized[i] = dynamic_cast<TH1F*> (gDirectory->Get("dZNormalized" )); | |
1279 | fhDXYvsDZNormalized[i] = dynamic_cast<TH2F*> (gDirectory->Get("dXYvsDZNormalized")); | |
1280 | fhNSigmaToVertex[i] = dynamic_cast<TH1F*> (gDirectory->Get("nSigmaToVertex")); | |
73318471 | 1281 | |
524916f0 | 1282 | fhPt[i] = dynamic_cast<TH1F*> (gDirectory->Get("pt")); |
1283 | fhEta[i] = dynamic_cast<TH1F*> (gDirectory->Get("eta")); | |
73318471 | 1284 | |
1285 | gDirectory->cd("../"); | |
1286 | } | |
1287 | ||
1288 | gDirectory->cd(".."); | |
1289 | ||
1290 | return kTRUE; | |
1291 | } | |
1292 | ||
1293 | //____________________________________________________________________ | |
1294 | void AliESDtrackCuts::SaveHistograms(const Char_t* dir) { | |
1295 | // | |
1296 | // saves the histograms in a directory (dir) | |
1297 | // | |
1298 | ||
1299 | if (!fHistogramsOn) { | |
1300 | AliDebug(0, "Histograms not on - cannot save histograms!!!"); | |
1301 | return; | |
1302 | } | |
1303 | ||
1304 | if (!dir) | |
1305 | dir = GetName(); | |
1306 | ||
1307 | gDirectory->mkdir(dir); | |
1308 | gDirectory->cd(dir); | |
1309 | ||
1310 | gDirectory->mkdir("before_cuts"); | |
1311 | gDirectory->mkdir("after_cuts"); | |
1312 | ||
1313 | // a factor of 2 is needed since n sigma is positive | |
1314 | ffDTheoretical->SetParameter(0,2*fhNSigmaToVertex[0]->Integral("width")); | |
1315 | ffDTheoretical->Write("nSigmaToVertexTheory"); | |
1316 | ||
1317 | fhCutStatistics->Write(); | |
1318 | fhCutCorrelation->Write(); | |
1319 | ||
1320 | for (Int_t i=0; i<2; i++) { | |
1321 | if (i==0) | |
1322 | gDirectory->cd("before_cuts"); | |
1323 | else | |
1324 | gDirectory->cd("after_cuts"); | |
1325 | ||
1326 | fhNClustersITS[i] ->Write(); | |
1327 | fhNClustersTPC[i] ->Write(); | |
1328 | fhChi2PerClusterITS[i] ->Write(); | |
1329 | fhChi2PerClusterTPC[i] ->Write(); | |
1330 | ||
1331 | fhC11[i] ->Write(); | |
1332 | fhC22[i] ->Write(); | |
1333 | fhC33[i] ->Write(); | |
1334 | fhC44[i] ->Write(); | |
1335 | fhC55[i] ->Write(); | |
1336 | ||
025fb458 | 1337 | fhRel1PtUncertainty[i] ->Write(); |
1338 | ||
73318471 | 1339 | fhDXY[i] ->Write(); |
1340 | fhDZ[i] ->Write(); | |
524916f0 | 1341 | fhDXYDZ[i] ->Write(); |
73318471 | 1342 | fhDXYvsDZ[i] ->Write(); |
1343 | ||
1344 | fhDXYNormalized[i] ->Write(); | |
1345 | fhDZNormalized[i] ->Write(); | |
1346 | fhDXYvsDZNormalized[i] ->Write(); | |
1347 | fhNSigmaToVertex[i] ->Write(); | |
1348 | ||
1349 | fhPt[i] ->Write(); | |
1350 | fhEta[i] ->Write(); | |
1351 | ||
1352 | gDirectory->cd("../"); | |
1353 | } | |
1354 | ||
1355 | gDirectory->cd("../"); | |
1356 | } | |
1357 | ||
1358 | //____________________________________________________________________ | |
1359 | void AliESDtrackCuts::DrawHistograms() | |
1360 | { | |
1361 | // draws some histograms | |
1362 | ||
1363 | TCanvas* canvas1 = new TCanvas(Form("%s_1", GetName()), "Track Quality Results1", 800, 800); | |
1364 | canvas1->Divide(2, 2); | |
1365 | ||
1366 | canvas1->cd(1); | |
1367 | fhNClustersTPC[0]->SetStats(kFALSE); | |
1368 | fhNClustersTPC[0]->Draw(); | |
1369 | ||
1370 | canvas1->cd(2); | |
1371 | fhChi2PerClusterTPC[0]->SetStats(kFALSE); | |
1372 | fhChi2PerClusterTPC[0]->Draw(); | |
1373 | ||
1374 | canvas1->cd(3); | |
1375 | fhNSigmaToVertex[0]->SetStats(kFALSE); | |
1376 | fhNSigmaToVertex[0]->GetXaxis()->SetRangeUser(0, 10); | |
1377 | fhNSigmaToVertex[0]->Draw(); | |
1378 | ||
1379 | canvas1->SaveAs(Form("%s_%s.gif", GetName(), canvas1->GetName())); | |
1380 | ||
1381 | TCanvas* canvas2 = new TCanvas(Form("%s_2", GetName()), "Track Quality Results2", 1200, 800); | |
1382 | canvas2->Divide(3, 2); | |
1383 | ||
1384 | canvas2->cd(1); | |
1385 | fhC11[0]->SetStats(kFALSE); | |
1386 | gPad->SetLogy(); | |
1387 | fhC11[0]->Draw(); | |
1388 | ||
1389 | canvas2->cd(2); | |
1390 | fhC22[0]->SetStats(kFALSE); | |
1391 | gPad->SetLogy(); | |
1392 | fhC22[0]->Draw(); | |
1393 | ||
1394 | canvas2->cd(3); | |
1395 | fhC33[0]->SetStats(kFALSE); | |
1396 | gPad->SetLogy(); | |
1397 | fhC33[0]->Draw(); | |
1398 | ||
1399 | canvas2->cd(4); | |
1400 | fhC44[0]->SetStats(kFALSE); | |
1401 | gPad->SetLogy(); | |
1402 | fhC44[0]->Draw(); | |
1403 | ||
1404 | canvas2->cd(5); | |
1405 | fhC55[0]->SetStats(kFALSE); | |
1406 | gPad->SetLogy(); | |
1407 | fhC55[0]->Draw(); | |
1408 | ||
025fb458 | 1409 | canvas2->cd(6); |
1410 | fhRel1PtUncertainty[0]->SetStats(kFALSE); | |
1411 | gPad->SetLogy(); | |
1412 | fhRel1PtUncertainty[0]->Draw(); | |
1413 | ||
73318471 | 1414 | canvas2->SaveAs(Form("%s_%s.gif", GetName(), canvas2->GetName())); |
1415 | ||
1416 | TCanvas* canvas3 = new TCanvas(Form("%s_3", GetName()), "Track Quality Results3", 1200, 800); | |
1417 | canvas3->Divide(3, 2); | |
1418 | ||
1419 | canvas3->cd(1); | |
1420 | fhDXY[0]->SetStats(kFALSE); | |
1421 | gPad->SetLogy(); | |
1422 | fhDXY[0]->Draw(); | |
1423 | ||
1424 | canvas3->cd(2); | |
1425 | fhDZ[0]->SetStats(kFALSE); | |
1426 | gPad->SetLogy(); | |
1427 | fhDZ[0]->Draw(); | |
1428 | ||
1429 | canvas3->cd(3); | |
1430 | fhDXYvsDZ[0]->SetStats(kFALSE); | |
1431 | gPad->SetLogz(); | |
1432 | gPad->SetRightMargin(0.15); | |
1433 | fhDXYvsDZ[0]->Draw("COLZ"); | |
1434 | ||
1435 | canvas3->cd(4); | |
1436 | fhDXYNormalized[0]->SetStats(kFALSE); | |
1437 | gPad->SetLogy(); | |
1438 | fhDXYNormalized[0]->Draw(); | |
1439 | ||
1440 | canvas3->cd(5); | |
1441 | fhDZNormalized[0]->SetStats(kFALSE); | |
1442 | gPad->SetLogy(); | |
1443 | fhDZNormalized[0]->Draw(); | |
1444 | ||
1445 | canvas3->cd(6); | |
1446 | fhDXYvsDZNormalized[0]->SetStats(kFALSE); | |
1447 | gPad->SetLogz(); | |
1448 | gPad->SetRightMargin(0.15); | |
1449 | fhDXYvsDZNormalized[0]->Draw("COLZ"); | |
1450 | ||
1451 | canvas3->SaveAs(Form("%s_%s.gif", GetName(), canvas3->GetName())); | |
1452 | ||
1453 | TCanvas* canvas4 = new TCanvas(Form("%s_4", GetName()), "Track Quality Results4", 800, 500); | |
1454 | canvas4->Divide(2, 1); | |
1455 | ||
1456 | canvas4->cd(1); | |
1457 | fhCutStatistics->SetStats(kFALSE); | |
1458 | fhCutStatistics->LabelsOption("v"); | |
1459 | gPad->SetBottomMargin(0.3); | |
1460 | fhCutStatistics->Draw(); | |
1461 | ||
1462 | canvas4->cd(2); | |
1463 | fhCutCorrelation->SetStats(kFALSE); | |
1464 | fhCutCorrelation->LabelsOption("v"); | |
1465 | gPad->SetBottomMargin(0.3); | |
1466 | gPad->SetLeftMargin(0.3); | |
1467 | fhCutCorrelation->Draw("COLZ"); | |
1468 | ||
1469 | canvas4->SaveAs(Form("%s_%s.gif", GetName(), canvas4->GetName())); | |
1470 | ||
1471 | /*canvas->cd(1); | |
1472 | fhDXYvsDZNormalized[0]->SetStats(kFALSE); | |
1473 | fhDXYvsDZNormalized[0]->DrawCopy("COLZ"); | |
1474 | ||
1475 | canvas->cd(2); | |
1476 | fhNClustersTPC[0]->SetStats(kFALSE); | |
1477 | fhNClustersTPC[0]->DrawCopy(); | |
1478 | ||
1479 | canvas->cd(3); | |
1480 | fhChi2PerClusterITS[0]->SetStats(kFALSE); | |
1481 | fhChi2PerClusterITS[0]->DrawCopy(); | |
1482 | fhChi2PerClusterITS[1]->SetLineColor(2); | |
1483 | fhChi2PerClusterITS[1]->DrawCopy("SAME"); | |
1484 | ||
1485 | canvas->cd(4); | |
1486 | fhChi2PerClusterTPC[0]->SetStats(kFALSE); | |
1487 | fhChi2PerClusterTPC[0]->DrawCopy(); | |
1488 | fhChi2PerClusterTPC[1]->SetLineColor(2); | |
1489 | fhChi2PerClusterTPC[1]->DrawCopy("SAME");*/ | |
1490 | } | |
f4e7aa32 | 1491 | //-------------------------------------------------------------------------- |
1492 | void AliESDtrackCuts::SetPtDepDCACuts(Double_t pt) { | |
1493 | // | |
1494 | // set the pt-dependent DCA cuts | |
1495 | // | |
1496 | ||
f328399b | 1497 | if(f1CutMaxDCAToVertexXYPtDep) { |
1498 | fCutMaxDCAToVertexXY=f1CutMaxDCAToVertexXYPtDep->Eval(pt); | |
f4e7aa32 | 1499 | } |
1500 | ||
f328399b | 1501 | if(f1CutMaxDCAToVertexZPtDep) { |
1502 | fCutMaxDCAToVertexZ=f1CutMaxDCAToVertexZPtDep->Eval(pt); | |
f4e7aa32 | 1503 | } |
1504 | ||
f328399b | 1505 | if(f1CutMinDCAToVertexXYPtDep) { |
1506 | fCutMinDCAToVertexXY=f1CutMinDCAToVertexXYPtDep->Eval(pt); | |
f4e7aa32 | 1507 | } |
1508 | ||
f328399b | 1509 | if(f1CutMinDCAToVertexZPtDep) { |
1510 | fCutMinDCAToVertexZ=f1CutMinDCAToVertexZPtDep->Eval(pt); | |
f4e7aa32 | 1511 | } |
1512 | ||
1513 | ||
1514 | return; | |
1515 | } | |
f328399b | 1516 | |
1517 | ||
1518 | ||
f4e7aa32 | 1519 | //-------------------------------------------------------------------------- |
1520 | Bool_t AliESDtrackCuts::CheckPtDepDCA(TString dist,Bool_t print) const { | |
1521 | // | |
1522 | // Check the correctness of the string syntax | |
1523 | // | |
1524 | Bool_t retval=kTRUE; | |
1525 | ||
1526 | if(!dist.Contains("pt")) { | |
1527 | if(print) printf("AliESDtrackCuts::CheckPtDepDCA(): string must contain \"pt\"\n"); | |
1528 | retval= kFALSE; | |
1529 | } | |
1530 | return retval; | |
1531 | } | |
73318471 | 1532 | |
f328399b | 1533 | void AliESDtrackCuts::SetMaxDCAToVertexXYPtDep(const char *dist){ |
1534 | if(!CheckPtDepDCA(dist,kTRUE)) return; | |
1535 | if(f1CutMaxDCAToVertexXYPtDep)delete f1CutMaxDCAToVertexXYPtDep; | |
1536 | fCutMaxDCAToVertexXYPtDep = dist; | |
1537 | TString tmp(dist); | |
1538 | tmp.ReplaceAll("pt","x"); | |
1539 | f1CutMaxDCAToVertexXYPtDep = new TFormula("f1CutMaxDCAToVertexXYPtDep",tmp.Data()); | |
1540 | ||
1541 | } | |
1542 | ||
1543 | void AliESDtrackCuts::SetMaxDCAToVertexZPtDep(const char *dist){ | |
1544 | if(!CheckPtDepDCA(dist,kTRUE)) return; | |
1545 | if(f1CutMaxDCAToVertexZPtDep)delete f1CutMaxDCAToVertexZPtDep; | |
1546 | fCutMaxDCAToVertexZPtDep = dist; | |
1547 | TString tmp(dist); | |
1548 | tmp.ReplaceAll("pt","x"); | |
1549 | f1CutMaxDCAToVertexZPtDep = new TFormula("f1CutMaxDCAToVertexZPtDep",tmp.Data()); | |
1550 | ||
1551 | ||
1552 | } | |
1553 | ||
1554 | ||
1555 | void AliESDtrackCuts::SetMinDCAToVertexXYPtDep(const char *dist){ | |
1556 | if(!CheckPtDepDCA(dist,kTRUE)) return; | |
1557 | if(f1CutMinDCAToVertexXYPtDep)delete f1CutMinDCAToVertexXYPtDep; | |
1558 | fCutMinDCAToVertexXYPtDep = dist; | |
1559 | TString tmp(dist); | |
1560 | tmp.ReplaceAll("pt","x"); | |
1561 | f1CutMinDCAToVertexXYPtDep = new TFormula("f1CutMinDCAToVertexXYPtDep",tmp.Data()); | |
1562 | ||
1563 | } | |
1564 | ||
1565 | ||
1566 | void AliESDtrackCuts::SetMinDCAToVertexZPtDep(const char *dist){ | |
1567 | if(!CheckPtDepDCA(dist,kTRUE)) return; | |
1568 | if(f1CutMinDCAToVertexZPtDep)delete f1CutMinDCAToVertexZPtDep; | |
1569 | fCutMinDCAToVertexZPtDep = dist; | |
1570 | TString tmp(dist); | |
1571 | tmp.ReplaceAll("pt","x"); | |
1572 | f1CutMinDCAToVertexZPtDep = new TFormula("f1CutMinDCAToVertexZPtDep",tmp.Data()); | |
1573 | } |