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7dbd4e68 | 1 | #include "AliESDtrackCuts.h" |
2 | ||
3 | ||
4 | #include <AliESDtrack.h> | |
5 | #include <AliESD.h> | |
6 | #include <AliLog.h> | |
7 | #include <TTree.h> | |
8 | #include <TFile.h> | |
9 | ||
10 | //____________________________________________________________________ | |
11 | ClassImp(AliESDtrackCuts) | |
12 | ||
13 | // Cut names | |
14 | const Char_t* AliESDtrackCuts::fgkCutNames[kNCuts] = { | |
15 | "require TPC refit", | |
16 | "require ITS refit", | |
17 | "n clusters TPC", | |
18 | "n clusters ITS", | |
19 | "#Chi^{2}/clusters TPC", | |
20 | "#Chi^{2}/clusters ITS", | |
21 | "cov 11", | |
22 | "cov 22", | |
23 | "cov 33", | |
24 | "cov 44", | |
25 | "cov 55", | |
26 | "trk-to-vtx", | |
27 | "trk-to-vtx failed", | |
28 | "kink daughters", | |
29 | "p", | |
30 | "p_{T}", | |
31 | "p_{x}", | |
32 | "p_{y}", | |
33 | "p_{z}", | |
34 | "y", | |
35 | "eta" | |
36 | }; | |
37 | ||
38 | //____________________________________________________________________ | |
39 | AliESDtrackCuts::AliESDtrackCuts() : TNamed(), | |
40 | fCutMinNClusterTPC(0), | |
41 | fCutMinNClusterITS(0), | |
42 | fCutMaxChi2PerClusterTPC(0), | |
43 | fCutMaxChi2PerClusterITS(0), | |
44 | fCutMaxC11(0), | |
45 | fCutMaxC22(0), | |
46 | fCutMaxC33(0), | |
47 | fCutMaxC44(0), | |
48 | fCutMaxC55(0), | |
49 | fCutAcceptKinkDaughters(0), | |
50 | fCutRequireTPCRefit(0), | |
51 | fCutRequireITSRefit(0), | |
52 | fCutNsigmaToVertex(0), | |
53 | fCutSigmaToVertexRequired(0), | |
54 | fPMin(0), | |
55 | fPMax(0), | |
56 | fPtMin(0), | |
57 | fPtMax(0), | |
58 | fPxMin(0), | |
59 | fPxMax(0), | |
60 | fPyMin(0), | |
61 | fPyMax(0), | |
62 | fPzMin(0), | |
63 | fPzMax(0), | |
64 | fEtaMin(0), | |
65 | fEtaMax(0), | |
66 | fRapMin(0), | |
67 | fRapMax(0), | |
68 | fHistogramsOn(0), | |
69 | ffDTheoretical(0), | |
70 | fhCutStatistics(0), | |
71 | fhCutCorrelation(0) | |
72 | { | |
73 | // | |
74 | // default constructor | |
75 | // | |
76 | ||
77 | Init(); | |
78 | } | |
79 | ||
80 | //____________________________________________________________________ | |
81 | AliESDtrackCuts::AliESDtrackCuts(Char_t* name, Char_t* title) : TNamed(name,title), | |
82 | fCutMinNClusterTPC(0), | |
83 | fCutMinNClusterITS(0), | |
84 | fCutMaxChi2PerClusterTPC(0), | |
85 | fCutMaxChi2PerClusterITS(0), | |
86 | fCutMaxC11(0), | |
87 | fCutMaxC22(0), | |
88 | fCutMaxC33(0), | |
89 | fCutMaxC44(0), | |
90 | fCutMaxC55(0), | |
91 | fCutAcceptKinkDaughters(0), | |
92 | fCutRequireTPCRefit(0), | |
93 | fCutRequireITSRefit(0), | |
94 | fCutNsigmaToVertex(0), | |
95 | fCutSigmaToVertexRequired(0), | |
96 | fPMin(0), | |
97 | fPMax(0), | |
98 | fPtMin(0), | |
99 | fPtMax(0), | |
100 | fPxMin(0), | |
101 | fPxMax(0), | |
102 | fPyMin(0), | |
103 | fPyMax(0), | |
104 | fPzMin(0), | |
105 | fPzMax(0), | |
106 | fEtaMin(0), | |
107 | fEtaMax(0), | |
108 | fRapMin(0), | |
109 | fRapMax(0), | |
110 | fHistogramsOn(0), | |
111 | fhCutStatistics(0), | |
112 | fhCutCorrelation(0) | |
113 | { | |
114 | // | |
115 | // constructor | |
116 | // | |
117 | ||
118 | Init(); | |
119 | ||
120 | //############################################################################## | |
121 | // setting default cuts | |
122 | SetMinNClustersTPC(); | |
123 | SetMinNClustersITS(); | |
124 | SetMaxChi2PerClusterTPC(); | |
125 | SetMaxChi2PerClusterITS(); | |
126 | SetMaxCovDiagonalElements(); | |
127 | SetRequireTPCRefit(); | |
128 | SetRequireITSRefit(); | |
129 | SetAcceptKingDaughters(); | |
130 | SetMinNsigmaToVertex(); | |
131 | SetRequireSigmaToVertex(); | |
132 | SetPRange(); | |
133 | SetPtRange(); | |
134 | SetPxRange(); | |
135 | SetPyRange(); | |
136 | SetPzRange(); | |
137 | SetEtaRange(); | |
138 | SetRapRange(); | |
139 | ||
140 | SetHistogramsOn(); | |
141 | } | |
142 | ||
143 | //_____________________________________________________________________________ | |
144 | AliESDtrackCuts::AliESDtrackCuts(const AliESDtrackCuts &c) : TNamed(c), | |
145 | fCutMinNClusterTPC(0), | |
146 | fCutMinNClusterITS(0), | |
147 | fCutMaxChi2PerClusterTPC(0), | |
148 | fCutMaxChi2PerClusterITS(0), | |
149 | fCutMaxC11(0), | |
150 | fCutMaxC22(0), | |
151 | fCutMaxC33(0), | |
152 | fCutMaxC44(0), | |
153 | fCutMaxC55(0), | |
154 | fCutAcceptKinkDaughters(0), | |
155 | fCutRequireTPCRefit(0), | |
156 | fCutRequireITSRefit(0), | |
157 | fCutNsigmaToVertex(0), | |
158 | fCutSigmaToVertexRequired(0), | |
159 | fPMin(0), | |
160 | fPMax(0), | |
161 | fPtMin(0), | |
162 | fPtMax(0), | |
163 | fPxMin(0), | |
164 | fPxMax(0), | |
165 | fPyMin(0), | |
166 | fPyMax(0), | |
167 | fPzMin(0), | |
168 | fPzMax(0), | |
169 | fEtaMin(0), | |
170 | fEtaMax(0), | |
171 | fRapMin(0), | |
172 | fRapMax(0), | |
173 | fHistogramsOn(0), | |
174 | ffDTheoretical(0), | |
175 | fhCutStatistics(0), | |
176 | fhCutCorrelation(0) | |
177 | { | |
178 | // | |
179 | // copy constructor | |
180 | // | |
181 | ||
182 | ((AliESDtrackCuts &) c).Copy(*this); | |
183 | } | |
184 | ||
185 | AliESDtrackCuts::~AliESDtrackCuts() | |
186 | { | |
187 | // | |
188 | // destructor | |
189 | // | |
190 | ||
191 | for (Int_t i=0; i<2; i++) { | |
192 | ||
193 | if (fhNClustersITS[i]) | |
194 | delete fhNClustersITS[i]; | |
195 | if (fhNClustersTPC[i]) | |
196 | delete fhNClustersTPC[i]; | |
197 | if (fhChi2PerClusterITS[i]) | |
198 | delete fhChi2PerClusterITS[i]; | |
199 | if (fhChi2PerClusterTPC[i]) | |
200 | delete fhChi2PerClusterTPC[i]; | |
201 | if (fhC11[i]) | |
202 | delete fhC11[i]; | |
203 | if (fhC22[i]) | |
204 | delete fhC22[i]; | |
205 | if (fhC33[i]) | |
206 | delete fhC33[i]; | |
207 | if (fhC44[i]) | |
208 | delete fhC44[i]; | |
209 | if (fhC55[i]) | |
210 | delete fhC55[i]; | |
211 | ||
212 | if (fhDXY[i]) | |
213 | delete fhDXY[i]; | |
214 | if (fhDZ[i]) | |
215 | delete fhDZ[i]; | |
216 | if (fhDXYvsDZ[i]) | |
217 | delete fhDXYvsDZ[i]; | |
218 | ||
219 | if (fhDXYNormalized[i]) | |
220 | delete fhDXYNormalized[i]; | |
221 | if (fhDZNormalized[i]) | |
222 | delete fhDZNormalized[i]; | |
223 | if (fhDXYvsDZNormalized[i]) | |
224 | delete fhDXYvsDZNormalized[i]; | |
225 | if (fhNSigmaToVertex[i]) | |
226 | delete fhNSigmaToVertex[i]; | |
227 | } | |
228 | ||
229 | if (ffDTheoretical) | |
230 | delete ffDTheoretical; | |
231 | ||
232 | if (fhCutStatistics) | |
233 | delete fhCutStatistics; | |
234 | if (fhCutCorrelation) | |
235 | delete fhCutCorrelation; | |
236 | } | |
237 | ||
238 | void AliESDtrackCuts::Init() | |
239 | { | |
240 | // | |
241 | // sets everything to zero | |
242 | // | |
243 | ||
244 | fCutMinNClusterTPC = 0; | |
245 | fCutMinNClusterITS = 0; | |
246 | ||
247 | fCutMaxChi2PerClusterTPC = 0; | |
248 | fCutMaxChi2PerClusterITS = 0; | |
249 | ||
250 | fCutMaxC11 = 0; | |
251 | fCutMaxC22 = 0; | |
252 | fCutMaxC33 = 0; | |
253 | fCutMaxC44 = 0; | |
254 | fCutMaxC55 = 0; | |
255 | ||
256 | fCutAcceptKinkDaughters = 0; | |
257 | fCutRequireTPCRefit = 0; | |
258 | fCutRequireITSRefit = 0; | |
259 | ||
260 | fCutNsigmaToVertex = 0; | |
261 | fCutSigmaToVertexRequired = 0; | |
262 | ||
263 | fPMin = 0; | |
264 | fPMax = 0; | |
265 | fPtMin = 0; | |
266 | fPtMax = 0; | |
267 | fPxMin = 0; | |
268 | fPxMax = 0; | |
269 | fPyMin = 0; | |
270 | fPyMax = 0; | |
271 | fPzMin = 0; | |
272 | fPzMax = 0; | |
273 | fEtaMin = 0; | |
274 | fEtaMax = 0; | |
275 | fRapMin = 0; | |
276 | fRapMax = 0; | |
277 | ||
278 | fHistogramsOn = kFALSE; | |
279 | ||
280 | for (Int_t i=0; i<2; ++i) | |
281 | { | |
282 | fhNClustersITS[i] = 0; | |
283 | fhNClustersTPC[i] = 0; | |
284 | ||
285 | fhChi2PerClusterITS[i] = 0; | |
286 | fhChi2PerClusterTPC[i] = 0; | |
287 | ||
288 | fhC11[i] = 0; | |
289 | fhC22[i] = 0; | |
290 | fhC33[i] = 0; | |
291 | fhC44[i] = 0; | |
292 | fhC55[i] = 0; | |
293 | ||
294 | fhDXY[i] = 0; | |
295 | fhDZ[i] = 0; | |
296 | fhDXYvsDZ[i] = 0; | |
297 | ||
298 | fhDXYNormalized[i] = 0; | |
299 | fhDZNormalized[i] = 0; | |
300 | fhDXYvsDZNormalized[i] = 0; | |
301 | fhNSigmaToVertex[i] = 0; | |
302 | } | |
303 | ffDTheoretical = 0; | |
304 | ||
305 | fhCutStatistics = 0; | |
306 | fhCutCorrelation = 0; | |
307 | } | |
308 | ||
309 | //_____________________________________________________________________________ | |
310 | AliESDtrackCuts &AliESDtrackCuts::operator=(const AliESDtrackCuts &c) | |
311 | { | |
312 | // | |
313 | // Assignment operator | |
314 | // | |
315 | ||
316 | if (this != &c) ((AliESDtrackCuts &) c).Copy(*this); | |
317 | return *this; | |
318 | } | |
319 | ||
320 | //_____________________________________________________________________________ | |
321 | void AliESDtrackCuts::Copy(TObject &c) const | |
322 | { | |
323 | // | |
324 | // Copy function | |
325 | // | |
326 | ||
327 | AliESDtrackCuts& target = (AliESDtrackCuts &) c; | |
328 | ||
329 | target.Init(); | |
330 | ||
331 | target.fCutMinNClusterTPC = fCutMinNClusterTPC; | |
332 | target.fCutMinNClusterITS = fCutMinNClusterITS; | |
333 | ||
334 | target.fCutMaxChi2PerClusterTPC = fCutMaxChi2PerClusterTPC; | |
335 | target.fCutMaxChi2PerClusterITS = fCutMaxChi2PerClusterITS; | |
336 | ||
337 | target.fCutMaxC11 = fCutMaxC11; | |
338 | target.fCutMaxC22 = fCutMaxC22; | |
339 | target.fCutMaxC33 = fCutMaxC33; | |
340 | target.fCutMaxC44 = fCutMaxC44; | |
341 | target.fCutMaxC55 = fCutMaxC55; | |
342 | ||
343 | target.fCutAcceptKinkDaughters = fCutAcceptKinkDaughters; | |
344 | target.fCutRequireTPCRefit = fCutRequireTPCRefit; | |
345 | target.fCutRequireITSRefit = fCutRequireITSRefit; | |
346 | ||
347 | target.fCutNsigmaToVertex = fCutNsigmaToVertex; | |
348 | target.fCutSigmaToVertexRequired = fCutSigmaToVertexRequired; | |
349 | ||
350 | target.fPMin = fPMin; | |
351 | target.fPMax = fPMax; | |
352 | target.fPtMin = fPtMin; | |
353 | target.fPtMax = fPtMax; | |
354 | target.fPxMin = fPxMin; | |
355 | target.fPxMax = fPxMax; | |
356 | target.fPyMin = fPyMin; | |
357 | target.fPyMax = fPyMax; | |
358 | target.fPzMin = fPzMin; | |
359 | target.fPzMax = fPzMax; | |
360 | target.fEtaMin = fEtaMin; | |
361 | target.fEtaMax = fEtaMax; | |
362 | target.fRapMin = fRapMin; | |
363 | target.fRapMax = fRapMax; | |
364 | ||
365 | target.fHistogramsOn = fHistogramsOn; | |
366 | ||
367 | for (Int_t i=0; i<2; ++i) | |
368 | { | |
369 | if (fhNClustersITS[i]) target.fhNClustersITS[i] = (TH1F*) fhNClustersITS[i]->Clone(); | |
370 | if (fhNClustersTPC[i]) target.fhNClustersTPC[i] = (TH1F*) fhNClustersTPC[i]->Clone(); | |
371 | ||
372 | if (fhChi2PerClusterITS[i]) target.fhChi2PerClusterITS[i] = (TH1F*) fhChi2PerClusterITS[i]->Clone(); | |
373 | if (fhChi2PerClusterTPC[i]) target.fhChi2PerClusterTPC[i] = (TH1F*) fhChi2PerClusterTPC[i]->Clone(); | |
374 | ||
375 | if (fhC11[i]) target.fhC11[i] = (TH1F*) fhC11[i]->Clone(); | |
376 | if (fhC22[i]) target.fhC22[i] = (TH1F*) fhC22[i]->Clone(); | |
377 | if (fhC33[i]) target.fhC33[i] = (TH1F*) fhC33[i]->Clone(); | |
378 | if (fhC44[i]) target.fhC44[i] = (TH1F*) fhC44[i]->Clone(); | |
379 | if (fhC55[i]) target.fhC55[i] = (TH1F*) fhC55[i]->Clone(); | |
380 | ||
381 | if (fhDXY[i]) target.fhDXY[i] = (TH1F*) fhDXY[i]->Clone(); | |
382 | if (fhDZ[i]) target.fhDZ[i] = (TH1F*) fhDZ[i]->Clone(); | |
383 | if (fhDXYvsDZ[i]) target.fhDXYvsDZ[i] = (TH2F*) fhDXYvsDZ[i]->Clone(); | |
384 | ||
385 | if (fhDXYNormalized[i]) target.fhDXYNormalized[i] = (TH1F*) fhDXYNormalized[i]->Clone(); | |
386 | if (fhDZNormalized[i]) target.fhDZNormalized[i] = (TH1F*) fhDZNormalized[i]->Clone(); | |
387 | if (fhDXYvsDZNormalized[i]) target.fhDXYvsDZNormalized[i] = (TH2F*) fhDXYvsDZNormalized[i]->Clone(); | |
388 | if (fhNSigmaToVertex[i]) target.fhNSigmaToVertex[i] = (TH1F*) fhNSigmaToVertex[i]->Clone(); | |
389 | } | |
390 | if (ffDTheoretical) target.ffDTheoretical = (TF1*) ffDTheoretical->Clone(); | |
391 | ||
392 | if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone(); | |
393 | if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone(); | |
394 | ||
395 | TNamed::Copy(c); | |
396 | } | |
397 | ||
398 | //_____________________________________________________________________________ | |
399 | Long64_t AliESDtrackCuts::Merge(TCollection* list) { | |
400 | // Merge a list of AliESDtrackCuts objects with this (needed for PROOF) | |
401 | // Returns the number of merged objects (including this) | |
402 | ||
403 | if (!list) | |
404 | return 0; | |
405 | ||
406 | if (list->IsEmpty()) | |
407 | return 1; | |
408 | ||
409 | if (!fHistogramsOn) | |
410 | return 0; | |
411 | ||
412 | TIterator* iter = list->MakeIterator(); | |
413 | TObject* obj; | |
414 | ||
415 | ||
416 | // collection of measured and generated histograms | |
417 | Int_t count = 0; | |
418 | while ((obj = iter->Next())) { | |
419 | ||
420 | AliESDtrackCuts* entry = dynamic_cast<AliESDtrackCuts*>(obj); | |
421 | if (entry == 0) | |
422 | continue; | |
423 | ||
424 | if (!entry->fHistogramsOn) | |
425 | continue; | |
426 | ||
427 | for (Int_t i=0; i<2; i++) { | |
428 | ||
429 | fhNClustersITS[i] ->Add(entry->fhNClustersITS[i] ); | |
430 | fhNClustersTPC[i] ->Add(entry->fhNClustersTPC[i] ); | |
431 | ||
432 | fhChi2PerClusterITS[i] ->Add(entry->fhChi2PerClusterITS[i]); | |
433 | fhChi2PerClusterTPC[i] ->Add(entry->fhChi2PerClusterTPC[i]); | |
434 | ||
435 | fhC11[i] ->Add(entry->fhC11[i] ); | |
436 | fhC22[i] ->Add(entry->fhC22[i] ); | |
437 | fhC33[i] ->Add(entry->fhC33[i] ); | |
438 | fhC44[i] ->Add(entry->fhC44[i] ); | |
439 | fhC55[i] ->Add(entry->fhC55[i] ); | |
440 | ||
441 | fhDXY[i] ->Add(entry->fhDXY[i] ); | |
442 | fhDZ[i] ->Add(entry->fhDZ[i] ); | |
443 | fhDXYvsDZ[i] ->Add(entry->fhDXYvsDZ[i] ); | |
444 | ||
445 | fhDXYNormalized[i] ->Add(entry->fhDXYNormalized[i] ); | |
446 | fhDZNormalized[i] ->Add(entry->fhDZNormalized[i] ); | |
447 | fhDXYvsDZNormalized[i] ->Add(entry->fhDXYvsDZNormalized[i]); | |
448 | fhNSigmaToVertex[i] ->Add(entry->fhNSigmaToVertex[i]); | |
449 | ||
450 | } | |
451 | ||
452 | fhCutStatistics ->Add(entry->fhCutStatistics); | |
453 | fhCutCorrelation ->Add(entry->fhCutCorrelation); | |
454 | ||
455 | count++; | |
456 | } | |
457 | ||
458 | return count+1; | |
459 | } | |
460 | ||
461 | ||
462 | //____________________________________________________________________ | |
463 | Float_t AliESDtrackCuts::GetSigmaToVertex(AliESDtrack* esdTrack) | |
464 | { | |
465 | // Calculates the number of sigma to the vertex. | |
466 | ||
467 | Float_t b[2]; | |
468 | Float_t bRes[2]; | |
469 | Float_t bCov[3]; | |
470 | esdTrack->GetImpactParameters(b,bCov); | |
471 | if (bCov[0]<=0 || bCov[2]<=0) { | |
472 | AliDebug(1, "Estimated b resolution lower or equal zero!"); | |
473 | bCov[0]=0; bCov[2]=0; | |
474 | } | |
475 | bRes[0] = TMath::Sqrt(bCov[0]); | |
476 | bRes[1] = TMath::Sqrt(bCov[2]); | |
477 | ||
478 | // ----------------------------------- | |
479 | // How to get to a n-sigma cut? | |
480 | // | |
481 | // The accumulated statistics from 0 to d is | |
482 | // | |
483 | // -> Erf(d/Sqrt(2)) for a 1-dim gauss (d = n_sigma) | |
484 | // -> 1 - Exp(-d**2) for a 2-dim gauss (d*d = dx*dx + dy*dy != n_sigma) | |
485 | // | |
486 | // It means that for a 2-dim gauss: n_sigma(d) = Sqrt(2)*ErfInv(1 - Exp((-x**2)/2) | |
487 | // Can this be expressed in a different way? | |
488 | ||
489 | if (bRes[0] == 0 || bRes[1] ==0) | |
490 | return -1; | |
491 | ||
492 | Float_t d = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2)); | |
493 | ||
494 | // stupid rounding problem screws up everything: | |
495 | // if d is too big, TMath::Exp(...) gets 0, and TMath::ErfInverse(1) that should be infinite, gets 0 :( | |
496 | if (TMath::Exp(-d * d / 2) < 1e-10) | |
497 | return 1000; | |
498 | ||
499 | d = TMath::ErfInverse(1 - TMath::Exp(-d * d / 2)) * TMath::Sqrt(2); | |
500 | return d; | |
501 | } | |
502 | ||
503 | void AliESDtrackCuts::EnableNeededBranches(TTree* tree) | |
504 | { | |
505 | // enables the branches needed by AcceptTrack, for a list see comment of AcceptTrack | |
506 | ||
507 | tree->SetBranchStatus("fTracks.fFlags", 1); | |
508 | tree->SetBranchStatus("fTracks.fITSncls", 1); | |
509 | tree->SetBranchStatus("fTracks.fTPCncls", 1); | |
510 | tree->SetBranchStatus("fTracks.fITSchi2", 1); | |
511 | tree->SetBranchStatus("fTracks.fTPCchi2", 1); | |
512 | tree->SetBranchStatus("fTracks.fC*", 1); | |
513 | tree->SetBranchStatus("fTracks.fD", 1); | |
514 | tree->SetBranchStatus("fTracks.fZ", 1); | |
515 | tree->SetBranchStatus("fTracks.fCdd", 1); | |
516 | tree->SetBranchStatus("fTracks.fCdz", 1); | |
517 | tree->SetBranchStatus("fTracks.fCzz", 1); | |
518 | tree->SetBranchStatus("fTracks.fP*", 1); | |
519 | tree->SetBranchStatus("fTracks.fR*", 1); | |
520 | tree->SetBranchStatus("fTracks.fKinkIndexes*", 1); | |
521 | } | |
522 | ||
523 | //____________________________________________________________________ | |
524 | Bool_t | |
525 | AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack) { | |
526 | // | |
527 | // figure out if the tracks survives all the track cuts defined | |
528 | // | |
529 | // the different quality parameter and kinematic values are first | |
530 | // retrieved from the track. then it is found out what cuts the | |
531 | // track did not survive and finally the cuts are imposed. | |
532 | ||
533 | // this function needs the following branches: | |
534 | // fTracks.fFlags | |
535 | // fTracks.fITSncls | |
536 | // fTracks.fTPCncls | |
537 | // fTracks.fITSchi2 | |
538 | // fTracks.fTPCchi2 | |
539 | // fTracks.fC //GetExternalCovariance | |
540 | // fTracks.fD //GetImpactParameters | |
541 | // fTracks.fZ //GetImpactParameters | |
542 | // fTracks.fCdd //GetImpactParameters | |
543 | // fTracks.fCdz //GetImpactParameters | |
544 | // fTracks.fCzz //GetImpactParameters | |
545 | // fTracks.fP //GetPxPyPz | |
546 | // fTracks.fR //GetMass | |
547 | // fTracks.fP //GetMass | |
548 | // fTracks.fKinkIndexes | |
549 | ||
550 | UInt_t status = esdTrack->GetStatus(); | |
551 | ||
552 | // dummy array | |
553 | Int_t fIdxInt[200]; | |
554 | ||
555 | // getting quality parameters from the ESD track | |
556 | Int_t nClustersITS = esdTrack->GetITSclusters(fIdxInt); | |
557 | Int_t nClustersTPC = esdTrack->GetTPCclusters(fIdxInt); | |
558 | ||
559 | ||
560 | ||
561 | Float_t chi2PerClusterITS = -1; | |
562 | Float_t chi2PerClusterTPC = -1; | |
563 | if (nClustersITS!=0) | |
564 | chi2PerClusterITS = esdTrack->GetITSchi2()/Float_t(nClustersITS); | |
565 | if (nClustersTPC!=0) | |
566 | chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC); | |
567 | ||
568 | Double_t extCov[15]; | |
569 | esdTrack->GetExternalCovariance(extCov); | |
570 | ||
571 | // getting the track to vertex parameters | |
572 | Float_t nSigmaToVertex = GetSigmaToVertex(esdTrack); | |
573 | ||
574 | // getting the kinematic variables of the track | |
575 | // (assuming the mass is known) | |
576 | Double_t p[3]; | |
577 | esdTrack->GetPxPyPz(p); | |
578 | Float_t momentum = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2) + TMath::Power(p[2],2)); | |
579 | Float_t pt = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2)); | |
580 | Float_t energy = TMath::Sqrt(TMath::Power(esdTrack->GetMass(),2) + TMath::Power(momentum,2)); | |
581 | ||
582 | ||
583 | //y-eta related calculations | |
584 | Float_t eta = -100.; | |
585 | Float_t y = -100.; | |
586 | if((momentum != TMath::Abs(p[2]))&&(momentum != 0)) | |
587 | eta = 0.5*TMath::Log((momentum + p[2])/(momentum - p[2])); | |
588 | if((energy != TMath::Abs(p[2]))&&(momentum != 0)) | |
589 | y = 0.5*TMath::Log((energy + p[2])/(energy - p[2])); | |
590 | ||
591 | ||
592 | //######################################################################## | |
593 | // cut the track? | |
594 | ||
595 | Bool_t cuts[kNCuts]; | |
596 | for (Int_t i=0; i<kNCuts; i++) cuts[i]=kFALSE; | |
597 | ||
598 | // track quality cuts | |
599 | if (fCutRequireTPCRefit && (status&AliESDtrack::kTPCrefit)==0) | |
600 | cuts[0]=kTRUE; | |
601 | if (fCutRequireITSRefit && (status&AliESDtrack::kITSrefit)==0) | |
602 | cuts[1]=kTRUE; | |
603 | if (nClustersTPC<fCutMinNClusterTPC) | |
604 | cuts[2]=kTRUE; | |
605 | if (nClustersITS<fCutMinNClusterITS) | |
606 | cuts[3]=kTRUE; | |
607 | if (chi2PerClusterTPC>fCutMaxChi2PerClusterTPC) | |
608 | cuts[4]=kTRUE; | |
609 | if (chi2PerClusterITS>fCutMaxChi2PerClusterITS) | |
610 | cuts[5]=kTRUE; | |
611 | if (extCov[0] > fCutMaxC11) | |
612 | cuts[6]=kTRUE; | |
613 | if (extCov[2] > fCutMaxC22) | |
614 | cuts[7]=kTRUE; | |
615 | if (extCov[5] > fCutMaxC33) | |
616 | cuts[8]=kTRUE; | |
617 | if (extCov[9] > fCutMaxC44) | |
618 | cuts[9]=kTRUE; | |
619 | if (extCov[14] > fCutMaxC55) | |
620 | cuts[10]=kTRUE; | |
621 | if (nSigmaToVertex > fCutNsigmaToVertex) | |
622 | cuts[11] = kTRUE; | |
623 | // if n sigma could not be calculated | |
624 | if (nSigmaToVertex<0 && fCutSigmaToVertexRequired) | |
625 | cuts[12]=kTRUE; | |
626 | if (!fCutAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0) | |
627 | cuts[13]=kTRUE; | |
628 | // track kinematics cut | |
629 | if((momentum < fPMin) || (momentum > fPMax)) | |
630 | cuts[14]=kTRUE; | |
631 | if((pt < fPtMin) || (pt > fPtMax)) | |
632 | cuts[15] = kTRUE; | |
633 | if((p[0] < fPxMin) || (p[0] > fPxMax)) | |
634 | cuts[16] = kTRUE; | |
635 | if((p[1] < fPyMin) || (p[1] > fPyMax)) | |
636 | cuts[17] = kTRUE; | |
637 | if((p[2] < fPzMin) || (p[2] > fPzMax)) | |
638 | cuts[18] = kTRUE; | |
639 | if((eta < fEtaMin) || (eta > fEtaMax)) | |
640 | cuts[19] = kTRUE; | |
641 | if((y < fRapMin) || (y > fRapMax)) | |
642 | cuts[20] = kTRUE; | |
643 | ||
644 | Bool_t cut=kFALSE; | |
645 | for (Int_t i=0; i<kNCuts; i++) | |
646 | if (cuts[i]) cut = kTRUE; | |
647 | ||
648 | //######################################################################## | |
649 | // filling histograms | |
650 | if (fHistogramsOn) { | |
651 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n tracks"))); | |
652 | ||
653 | if (cut) | |
654 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n cut tracks"))); | |
655 | ||
656 | for (Int_t i=0; i<kNCuts; i++) { | |
657 | if (cuts[i]) | |
658 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin(fgkCutNames[i]))); | |
659 | ||
660 | for (Int_t j=i; j<kNCuts; j++) { | |
661 | if (cuts[i] && cuts[j]) { | |
662 | Float_t x = fhCutCorrelation->GetXaxis()->GetBinCenter(fhCutCorrelation->GetXaxis()->FindBin(fgkCutNames[i])); | |
663 | Float_t y = fhCutCorrelation->GetYaxis()->GetBinCenter(fhCutCorrelation->GetYaxis()->FindBin(fgkCutNames[j])); | |
664 | fhCutCorrelation->Fill(x,y); | |
665 | } | |
666 | } | |
667 | } | |
668 | ||
669 | ||
670 | fhNClustersITS[0]->Fill(nClustersITS); | |
671 | fhNClustersTPC[0]->Fill(nClustersTPC); | |
672 | fhChi2PerClusterITS[0]->Fill(chi2PerClusterITS); | |
673 | fhChi2PerClusterTPC[0]->Fill(chi2PerClusterTPC); | |
674 | ||
675 | fhC11[0]->Fill(extCov[0]); | |
676 | fhC22[0]->Fill(extCov[2]); | |
677 | fhC33[0]->Fill(extCov[5]); | |
678 | fhC44[0]->Fill(extCov[9]); | |
679 | fhC55[0]->Fill(extCov[14]); | |
680 | ||
681 | Float_t b[2]; | |
682 | Float_t bRes[2]; | |
683 | Float_t bCov[3]; | |
684 | esdTrack->GetImpactParameters(b,bCov); | |
685 | if (bCov[0]<=0 || bCov[2]<=0) { | |
686 | AliDebug(1, "Estimated b resolution lower or equal zero!"); | |
687 | bCov[0]=0; bCov[2]=0; | |
688 | } | |
689 | bRes[0] = TMath::Sqrt(bCov[0]); | |
690 | bRes[1] = TMath::Sqrt(bCov[2]); | |
691 | ||
692 | fhDZ[0]->Fill(b[1]); | |
693 | fhDXY[0]->Fill(b[0]); | |
694 | fhDXYvsDZ[0]->Fill(b[1],b[0]); | |
695 | ||
696 | if (bRes[0]!=0 && bRes[1]!=0) { | |
697 | fhDZNormalized[0]->Fill(b[1]/bRes[1]); | |
698 | fhDXYNormalized[0]->Fill(b[0]/bRes[0]); | |
699 | fhDXYvsDZNormalized[0]->Fill(b[1]/bRes[1], b[0]/bRes[0]); | |
700 | fhNSigmaToVertex[0]->Fill(nSigmaToVertex); | |
701 | } | |
702 | } | |
703 | ||
704 | //######################################################################## | |
705 | // cut the track! | |
706 | if (cut) return kFALSE; | |
707 | ||
708 | //######################################################################## | |
709 | // filling histograms after cut | |
710 | if (fHistogramsOn) { | |
711 | fhNClustersITS[1]->Fill(nClustersITS); | |
712 | fhNClustersTPC[1]->Fill(nClustersTPC); | |
713 | fhChi2PerClusterITS[1]->Fill(chi2PerClusterITS); | |
714 | fhChi2PerClusterTPC[1]->Fill(chi2PerClusterTPC); | |
715 | ||
716 | fhC11[1]->Fill(extCov[0]); | |
717 | fhC22[1]->Fill(extCov[2]); | |
718 | fhC33[1]->Fill(extCov[5]); | |
719 | fhC44[1]->Fill(extCov[9]); | |
720 | fhC55[1]->Fill(extCov[14]); | |
721 | ||
722 | Float_t b[2]; | |
723 | Float_t bRes[2]; | |
724 | Float_t bCov[3]; | |
725 | esdTrack->GetImpactParameters(b,bCov); | |
726 | if (bCov[0]<=0 || bCov[2]<=0) { | |
727 | AliDebug(1, "Estimated b resolution lower or equal zero!"); | |
728 | bCov[0]=0; bCov[2]=0; | |
729 | } | |
730 | bRes[0] = TMath::Sqrt(bCov[0]); | |
731 | bRes[1] = TMath::Sqrt(bCov[2]); | |
732 | ||
733 | fhDZ[1]->Fill(b[1]); | |
734 | fhDXY[1]->Fill(b[0]); | |
735 | fhDXYvsDZ[1]->Fill(b[1],b[0]); | |
736 | ||
737 | if (bRes[0]!=0 && bRes[1]!=0) | |
738 | { | |
739 | fhDZNormalized[1]->Fill(b[1]/bRes[1]); | |
740 | fhDXYNormalized[1]->Fill(b[0]/bRes[0]); | |
741 | fhDXYvsDZNormalized[1]->Fill(b[1]/bRes[1], b[0]/bRes[0]); | |
742 | fhNSigmaToVertex[1]->Fill(nSigmaToVertex); | |
743 | } | |
744 | } | |
745 | ||
746 | return kTRUE; | |
747 | } | |
748 | ||
749 | //____________________________________________________________________ | |
750 | TObjArray* | |
751 | AliESDtrackCuts::GetAcceptedTracks(AliESD* esd) | |
752 | { | |
753 | // | |
754 | // returns an array of all tracks that pass the cuts | |
755 | // | |
756 | ||
757 | TObjArray* acceptedTracks = new TObjArray(); | |
758 | ||
759 | // loop over esd tracks | |
760 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
761 | AliESDtrack* track = esd->GetTrack(iTrack); | |
762 | ||
763 | if (AcceptTrack(track)) | |
764 | acceptedTracks->Add(track); | |
765 | } | |
766 | ||
767 | return acceptedTracks; | |
768 | } | |
769 | ||
770 | //____________________________________________________________________ | |
771 | Int_t | |
772 | AliESDtrackCuts::CountAcceptedTracks(AliESD* esd) | |
773 | { | |
774 | // | |
775 | // returns an the number of tracks that pass the cuts | |
776 | // | |
777 | ||
778 | Int_t count = 0; | |
779 | ||
780 | // loop over esd tracks | |
781 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
782 | AliESDtrack* track = esd->GetTrack(iTrack); | |
783 | ||
784 | if (AcceptTrack(track)) | |
785 | count++; | |
786 | } | |
787 | ||
788 | return count; | |
789 | } | |
790 | ||
791 | //____________________________________________________________________ | |
792 | void AliESDtrackCuts::DefineHistograms(Int_t color) { | |
793 | // | |
794 | // diagnostics histograms are defined | |
795 | // | |
796 | ||
797 | fHistogramsOn=kTRUE; | |
798 | ||
799 | //################################################################################### | |
800 | // defining histograms | |
801 | ||
802 | fhCutStatistics = new TH1F("cut_statistics","cut statistics",kNCuts+4,-0.5,kNCuts+3.5); | |
803 | ||
804 | fhCutStatistics->GetXaxis()->SetBinLabel(1,"n tracks"); | |
805 | fhCutStatistics->GetXaxis()->SetBinLabel(2,"n cut tracks"); | |
806 | ||
807 | fhCutCorrelation = new TH2F("cut_correlation","cut correlation",kNCuts,-0.5,kNCuts-0.5,kNCuts,-0.5,kNCuts-0.5);; | |
808 | ||
809 | for (Int_t i=0; i<kNCuts; i++) { | |
810 | fhCutStatistics->GetXaxis()->SetBinLabel(i+4,fgkCutNames[i]); | |
811 | fhCutCorrelation->GetXaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
812 | fhCutCorrelation->GetYaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
813 | } | |
814 | ||
815 | fhCutStatistics ->SetLineColor(color); | |
816 | fhCutCorrelation ->SetLineColor(color); | |
817 | fhCutStatistics ->SetLineWidth(2); | |
818 | fhCutCorrelation ->SetLineWidth(2); | |
819 | ||
820 | Char_t str[256]; | |
821 | for (Int_t i=0; i<2; i++) { | |
822 | if (i==0) sprintf(str," "); | |
823 | else sprintf(str,"_cut"); | |
824 | ||
825 | fhNClustersITS[i] = new TH1F(Form("nClustersITS%s",str),"",8,-0.5,7.5); | |
826 | fhNClustersTPC[i] = new TH1F(Form("nClustersTPC%s",str),"",165,-0.5,164.5); | |
827 | fhChi2PerClusterITS[i] = new TH1F(Form("chi2PerClusterITS%s",str),"",500,0,10); | |
828 | fhChi2PerClusterTPC[i] = new TH1F(Form("chi2PerClusterTPC%s",str),"",500,0,10); | |
829 | ||
830 | fhC11[i] = new TH1F(Form("covMatrixDiagonal11%s",str),"",2000,0,20); | |
831 | fhC22[i] = new TH1F(Form("covMatrixDiagonal22%s",str),"",2000,0,20); | |
832 | fhC33[i] = new TH1F(Form("covMatrixDiagonal33%s",str),"",1000,0,1); | |
833 | fhC44[i] = new TH1F(Form("covMatrixDiagonal44%s",str),"",1000,0,5); | |
834 | fhC55[i] = new TH1F(Form("covMatrixDiagonal55%s",str),"",1000,0,5); | |
835 | ||
836 | fhDXY[i] = new TH1F(Form("dXY%s",str),"",500,-10,10); | |
837 | fhDZ[i] = new TH1F(Form("dZ%s",str),"",500,-10,10); | |
838 | fhDXYvsDZ[i] = new TH2F(Form("dXYvsDZ%s",str),"",200,-10,10,200,-10,10); | |
839 | ||
840 | fhDXYNormalized[i] = new TH1F(Form("dXYNormalized%s",str),"",500,-10,10); | |
841 | fhDZNormalized[i] = new TH1F(Form("dZNormalized%s",str),"",500,-10,10); | |
842 | fhDXYvsDZNormalized[i] = new TH2F(Form("dXYvsDZNormalized%s",str),"",200,-10,10,200,-10,10); | |
843 | ||
844 | fhNSigmaToVertex[i] = new TH1F(Form("nSigmaToVertex%s",str),"",500,0,50); | |
845 | ||
846 | fhNClustersITS[i]->SetXTitle("n ITS clusters"); | |
847 | fhNClustersTPC[i]->SetXTitle("n TPC clusters"); | |
848 | fhChi2PerClusterITS[i]->SetXTitle("#Chi^{2} per ITS cluster"); | |
849 | fhChi2PerClusterTPC[i]->SetXTitle("#Chi^{2} per TPC cluster"); | |
850 | ||
851 | fhC11[i]->SetXTitle("cov 11 : #sigma_{y}^{2} [cm^{2}]"); | |
852 | fhC22[i]->SetXTitle("cov 22 : #sigma_{z}^{2} [cm^{2}]"); | |
853 | fhC33[i]->SetXTitle("cov 33 : #sigma_{sin(#phi)}^{2}"); | |
854 | fhC44[i]->SetXTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}"); | |
855 | fhC55[i]->SetXTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]"); | |
856 | ||
857 | fhDXY[i]->SetXTitle("transverse impact parameter"); | |
858 | fhDZ[i]->SetXTitle("longitudinal impact parameter"); | |
859 | fhDXYvsDZ[i]->SetXTitle("longitudinal impact parameter"); | |
860 | fhDXYvsDZ[i]->SetYTitle("transverse impact parameter"); | |
861 | ||
862 | fhDXYNormalized[i]->SetXTitle("normalized trans impact par"); | |
863 | fhDZNormalized[i]->SetXTitle("normalized long impact par"); | |
864 | fhDXYvsDZNormalized[i]->SetXTitle("normalized long impact par"); | |
865 | fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par"); | |
866 | fhNSigmaToVertex[i]->SetXTitle("n #sigma to vertex"); | |
867 | ||
868 | fhNClustersITS[i]->SetLineColor(color); fhNClustersITS[i]->SetLineWidth(2); | |
869 | fhNClustersTPC[i]->SetLineColor(color); fhNClustersTPC[i]->SetLineWidth(2); | |
870 | fhChi2PerClusterITS[i]->SetLineColor(color); fhChi2PerClusterITS[i]->SetLineWidth(2); | |
871 | fhChi2PerClusterTPC[i]->SetLineColor(color); fhChi2PerClusterTPC[i]->SetLineWidth(2); | |
872 | ||
873 | fhC11[i]->SetLineColor(color); fhC11[i]->SetLineWidth(2); | |
874 | fhC22[i]->SetLineColor(color); fhC22[i]->SetLineWidth(2); | |
875 | fhC33[i]->SetLineColor(color); fhC33[i]->SetLineWidth(2); | |
876 | fhC44[i]->SetLineColor(color); fhC44[i]->SetLineWidth(2); | |
877 | fhC55[i]->SetLineColor(color); fhC55[i]->SetLineWidth(2); | |
878 | ||
879 | fhDXY[i]->SetLineColor(color); fhDXY[i]->SetLineWidth(2); | |
880 | fhDZ[i]->SetLineColor(color); fhDZ[i]->SetLineWidth(2); | |
881 | ||
882 | fhDXYNormalized[i]->SetLineColor(color); fhDXYNormalized[i]->SetLineWidth(2); | |
883 | fhDZNormalized[i]->SetLineColor(color); fhDZNormalized[i]->SetLineWidth(2); | |
884 | fhNSigmaToVertex[i]->SetLineColor(color); fhNSigmaToVertex[i]->SetLineWidth(2); | |
885 | } | |
886 | ||
887 | // The number of sigmas to the vertex is per definition gaussian | |
888 | ffDTheoretical = new TF1("nSigmaToVertexTheoretical","([0]/2.506628274)*exp(-(x**2)/2)",0,50); | |
889 | ffDTheoretical->SetParameter(0,1); | |
890 | } | |
891 | ||
892 | ||
893 | ||
894 | //____________________________________________________________________ | |
895 | void | |
896 | AliESDtrackCuts::Print(const Option_t*) const { | |
897 | // | |
898 | // print method - still to be implemented | |
899 | // | |
900 | ||
901 | AliInfo("AliESDtrackCuts..."); | |
902 | } | |
903 | ||
904 | ||
905 | //____________________________________________________________________ | |
906 | void AliESDtrackCuts::SaveHistograms(Char_t* dir) { | |
907 | // | |
908 | // saves the histograms in a directory (dir) | |
909 | // | |
910 | ||
911 | ||
912 | if (!fHistogramsOn) { | |
913 | AliDebug(0, "Histograms not on - cannot save histograms!!!"); | |
914 | return; | |
915 | } | |
916 | ||
917 | gDirectory->mkdir(dir); | |
918 | gDirectory->cd(dir); | |
919 | TString outfile = 0; | |
920 | outfile = dir; outfile += ".root"; | |
921 | TFile *f = TFile::Open(outfile.Data(),"recreate"); | |
922 | ||
923 | gDirectory->mkdir("before_cuts"); | |
924 | gDirectory->mkdir("after_cuts"); | |
925 | ||
926 | // a factor of 2 is needed since n sigma is positive | |
927 | ffDTheoretical->SetParameter(0,2*fhNSigmaToVertex[0]->Integral("width")); | |
928 | ffDTheoretical->Write("nSigmaToVertexTheory"); | |
929 | ||
930 | fhCutStatistics->Write(); | |
931 | fhCutCorrelation->Write(); | |
932 | ||
933 | for (Int_t i=0; i<2; i++) { | |
934 | if (i==0) | |
935 | gDirectory->cd("before_cuts"); | |
936 | else | |
937 | gDirectory->cd("after_cuts"); | |
938 | fhNClustersITS[i] ->Write(); | |
939 | fhNClustersTPC[i] ->Write(); | |
940 | fhChi2PerClusterITS[i] ->Write(); | |
941 | fhChi2PerClusterTPC[i] ->Write(); | |
942 | ||
943 | fhC11[i] ->Write(); | |
944 | fhC22[i] ->Write(); | |
945 | fhC33[i] ->Write(); | |
946 | fhC44[i] ->Write(); | |
947 | fhC55[i] ->Write(); | |
948 | ||
949 | fhDXY[i] ->Write(); | |
950 | fhDZ[i] ->Write(); | |
951 | fhDXYvsDZ[i] ->Write(); | |
952 | ||
953 | fhDXYNormalized[i] ->Write(); | |
954 | fhDZNormalized[i] ->Write(); | |
955 | fhDXYvsDZNormalized[i] ->Write(); | |
956 | fhNSigmaToVertex[i] ->Write(); | |
957 | ||
958 | gDirectory->cd("../"); | |
959 | } | |
960 | ||
961 | f->Close(); | |
962 | ||
963 | gDirectory->cd("../"); | |
964 | } | |
965 | ||
966 | ||
967 |