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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), | |
c61a7285 | 111 | ffDTheoretical(0), |
7dbd4e68 | 112 | fhCutStatistics(0), |
113 | fhCutCorrelation(0) | |
114 | { | |
115 | // | |
116 | // constructor | |
117 | // | |
118 | ||
119 | Init(); | |
120 | ||
121 | //############################################################################## | |
122 | // setting default cuts | |
123 | SetMinNClustersTPC(); | |
124 | SetMinNClustersITS(); | |
125 | SetMaxChi2PerClusterTPC(); | |
126 | SetMaxChi2PerClusterITS(); | |
127 | SetMaxCovDiagonalElements(); | |
128 | SetRequireTPCRefit(); | |
129 | SetRequireITSRefit(); | |
130 | SetAcceptKingDaughters(); | |
131 | SetMinNsigmaToVertex(); | |
132 | SetRequireSigmaToVertex(); | |
133 | SetPRange(); | |
134 | SetPtRange(); | |
135 | SetPxRange(); | |
136 | SetPyRange(); | |
137 | SetPzRange(); | |
138 | SetEtaRange(); | |
139 | SetRapRange(); | |
140 | ||
141 | SetHistogramsOn(); | |
142 | } | |
143 | ||
144 | //_____________________________________________________________________________ | |
145 | AliESDtrackCuts::AliESDtrackCuts(const AliESDtrackCuts &c) : TNamed(c), | |
146 | fCutMinNClusterTPC(0), | |
147 | fCutMinNClusterITS(0), | |
148 | fCutMaxChi2PerClusterTPC(0), | |
149 | fCutMaxChi2PerClusterITS(0), | |
150 | fCutMaxC11(0), | |
151 | fCutMaxC22(0), | |
152 | fCutMaxC33(0), | |
153 | fCutMaxC44(0), | |
154 | fCutMaxC55(0), | |
155 | fCutAcceptKinkDaughters(0), | |
156 | fCutRequireTPCRefit(0), | |
157 | fCutRequireITSRefit(0), | |
158 | fCutNsigmaToVertex(0), | |
159 | fCutSigmaToVertexRequired(0), | |
160 | fPMin(0), | |
161 | fPMax(0), | |
162 | fPtMin(0), | |
163 | fPtMax(0), | |
164 | fPxMin(0), | |
165 | fPxMax(0), | |
166 | fPyMin(0), | |
167 | fPyMax(0), | |
168 | fPzMin(0), | |
169 | fPzMax(0), | |
170 | fEtaMin(0), | |
171 | fEtaMax(0), | |
172 | fRapMin(0), | |
173 | fRapMax(0), | |
174 | fHistogramsOn(0), | |
175 | ffDTheoretical(0), | |
176 | fhCutStatistics(0), | |
177 | fhCutCorrelation(0) | |
178 | { | |
179 | // | |
180 | // copy constructor | |
181 | // | |
182 | ||
183 | ((AliESDtrackCuts &) c).Copy(*this); | |
184 | } | |
185 | ||
186 | AliESDtrackCuts::~AliESDtrackCuts() | |
187 | { | |
188 | // | |
189 | // destructor | |
190 | // | |
191 | ||
192 | for (Int_t i=0; i<2; i++) { | |
193 | ||
194 | if (fhNClustersITS[i]) | |
195 | delete fhNClustersITS[i]; | |
196 | if (fhNClustersTPC[i]) | |
197 | delete fhNClustersTPC[i]; | |
198 | if (fhChi2PerClusterITS[i]) | |
199 | delete fhChi2PerClusterITS[i]; | |
200 | if (fhChi2PerClusterTPC[i]) | |
201 | delete fhChi2PerClusterTPC[i]; | |
202 | if (fhC11[i]) | |
203 | delete fhC11[i]; | |
204 | if (fhC22[i]) | |
205 | delete fhC22[i]; | |
206 | if (fhC33[i]) | |
207 | delete fhC33[i]; | |
208 | if (fhC44[i]) | |
209 | delete fhC44[i]; | |
210 | if (fhC55[i]) | |
211 | delete fhC55[i]; | |
212 | ||
213 | if (fhDXY[i]) | |
214 | delete fhDXY[i]; | |
215 | if (fhDZ[i]) | |
216 | delete fhDZ[i]; | |
217 | if (fhDXYvsDZ[i]) | |
218 | delete fhDXYvsDZ[i]; | |
219 | ||
220 | if (fhDXYNormalized[i]) | |
221 | delete fhDXYNormalized[i]; | |
222 | if (fhDZNormalized[i]) | |
223 | delete fhDZNormalized[i]; | |
224 | if (fhDXYvsDZNormalized[i]) | |
225 | delete fhDXYvsDZNormalized[i]; | |
226 | if (fhNSigmaToVertex[i]) | |
227 | delete fhNSigmaToVertex[i]; | |
228 | } | |
229 | ||
230 | if (ffDTheoretical) | |
231 | delete ffDTheoretical; | |
232 | ||
233 | if (fhCutStatistics) | |
234 | delete fhCutStatistics; | |
235 | if (fhCutCorrelation) | |
236 | delete fhCutCorrelation; | |
237 | } | |
238 | ||
239 | void AliESDtrackCuts::Init() | |
240 | { | |
241 | // | |
242 | // sets everything to zero | |
243 | // | |
244 | ||
245 | fCutMinNClusterTPC = 0; | |
246 | fCutMinNClusterITS = 0; | |
247 | ||
248 | fCutMaxChi2PerClusterTPC = 0; | |
249 | fCutMaxChi2PerClusterITS = 0; | |
250 | ||
251 | fCutMaxC11 = 0; | |
252 | fCutMaxC22 = 0; | |
253 | fCutMaxC33 = 0; | |
254 | fCutMaxC44 = 0; | |
255 | fCutMaxC55 = 0; | |
256 | ||
257 | fCutAcceptKinkDaughters = 0; | |
258 | fCutRequireTPCRefit = 0; | |
259 | fCutRequireITSRefit = 0; | |
260 | ||
261 | fCutNsigmaToVertex = 0; | |
262 | fCutSigmaToVertexRequired = 0; | |
263 | ||
264 | fPMin = 0; | |
265 | fPMax = 0; | |
266 | fPtMin = 0; | |
267 | fPtMax = 0; | |
268 | fPxMin = 0; | |
269 | fPxMax = 0; | |
270 | fPyMin = 0; | |
271 | fPyMax = 0; | |
272 | fPzMin = 0; | |
273 | fPzMax = 0; | |
274 | fEtaMin = 0; | |
275 | fEtaMax = 0; | |
276 | fRapMin = 0; | |
277 | fRapMax = 0; | |
278 | ||
279 | fHistogramsOn = kFALSE; | |
280 | ||
281 | for (Int_t i=0; i<2; ++i) | |
282 | { | |
283 | fhNClustersITS[i] = 0; | |
284 | fhNClustersTPC[i] = 0; | |
285 | ||
286 | fhChi2PerClusterITS[i] = 0; | |
287 | fhChi2PerClusterTPC[i] = 0; | |
288 | ||
289 | fhC11[i] = 0; | |
290 | fhC22[i] = 0; | |
291 | fhC33[i] = 0; | |
292 | fhC44[i] = 0; | |
293 | fhC55[i] = 0; | |
294 | ||
295 | fhDXY[i] = 0; | |
296 | fhDZ[i] = 0; | |
297 | fhDXYvsDZ[i] = 0; | |
298 | ||
299 | fhDXYNormalized[i] = 0; | |
300 | fhDZNormalized[i] = 0; | |
301 | fhDXYvsDZNormalized[i] = 0; | |
302 | fhNSigmaToVertex[i] = 0; | |
303 | } | |
304 | ffDTheoretical = 0; | |
305 | ||
306 | fhCutStatistics = 0; | |
307 | fhCutCorrelation = 0; | |
308 | } | |
309 | ||
310 | //_____________________________________________________________________________ | |
311 | AliESDtrackCuts &AliESDtrackCuts::operator=(const AliESDtrackCuts &c) | |
312 | { | |
313 | // | |
314 | // Assignment operator | |
315 | // | |
316 | ||
317 | if (this != &c) ((AliESDtrackCuts &) c).Copy(*this); | |
318 | return *this; | |
319 | } | |
320 | ||
321 | //_____________________________________________________________________________ | |
322 | void AliESDtrackCuts::Copy(TObject &c) const | |
323 | { | |
324 | // | |
325 | // Copy function | |
326 | // | |
327 | ||
328 | AliESDtrackCuts& target = (AliESDtrackCuts &) c; | |
329 | ||
330 | target.Init(); | |
331 | ||
332 | target.fCutMinNClusterTPC = fCutMinNClusterTPC; | |
333 | target.fCutMinNClusterITS = fCutMinNClusterITS; | |
334 | ||
335 | target.fCutMaxChi2PerClusterTPC = fCutMaxChi2PerClusterTPC; | |
336 | target.fCutMaxChi2PerClusterITS = fCutMaxChi2PerClusterITS; | |
337 | ||
338 | target.fCutMaxC11 = fCutMaxC11; | |
339 | target.fCutMaxC22 = fCutMaxC22; | |
340 | target.fCutMaxC33 = fCutMaxC33; | |
341 | target.fCutMaxC44 = fCutMaxC44; | |
342 | target.fCutMaxC55 = fCutMaxC55; | |
343 | ||
344 | target.fCutAcceptKinkDaughters = fCutAcceptKinkDaughters; | |
345 | target.fCutRequireTPCRefit = fCutRequireTPCRefit; | |
346 | target.fCutRequireITSRefit = fCutRequireITSRefit; | |
347 | ||
348 | target.fCutNsigmaToVertex = fCutNsigmaToVertex; | |
349 | target.fCutSigmaToVertexRequired = fCutSigmaToVertexRequired; | |
350 | ||
351 | target.fPMin = fPMin; | |
352 | target.fPMax = fPMax; | |
353 | target.fPtMin = fPtMin; | |
354 | target.fPtMax = fPtMax; | |
355 | target.fPxMin = fPxMin; | |
356 | target.fPxMax = fPxMax; | |
357 | target.fPyMin = fPyMin; | |
358 | target.fPyMax = fPyMax; | |
359 | target.fPzMin = fPzMin; | |
360 | target.fPzMax = fPzMax; | |
361 | target.fEtaMin = fEtaMin; | |
362 | target.fEtaMax = fEtaMax; | |
363 | target.fRapMin = fRapMin; | |
364 | target.fRapMax = fRapMax; | |
365 | ||
366 | target.fHistogramsOn = fHistogramsOn; | |
367 | ||
368 | for (Int_t i=0; i<2; ++i) | |
369 | { | |
370 | if (fhNClustersITS[i]) target.fhNClustersITS[i] = (TH1F*) fhNClustersITS[i]->Clone(); | |
371 | if (fhNClustersTPC[i]) target.fhNClustersTPC[i] = (TH1F*) fhNClustersTPC[i]->Clone(); | |
372 | ||
373 | if (fhChi2PerClusterITS[i]) target.fhChi2PerClusterITS[i] = (TH1F*) fhChi2PerClusterITS[i]->Clone(); | |
374 | if (fhChi2PerClusterTPC[i]) target.fhChi2PerClusterTPC[i] = (TH1F*) fhChi2PerClusterTPC[i]->Clone(); | |
375 | ||
376 | if (fhC11[i]) target.fhC11[i] = (TH1F*) fhC11[i]->Clone(); | |
377 | if (fhC22[i]) target.fhC22[i] = (TH1F*) fhC22[i]->Clone(); | |
378 | if (fhC33[i]) target.fhC33[i] = (TH1F*) fhC33[i]->Clone(); | |
379 | if (fhC44[i]) target.fhC44[i] = (TH1F*) fhC44[i]->Clone(); | |
380 | if (fhC55[i]) target.fhC55[i] = (TH1F*) fhC55[i]->Clone(); | |
381 | ||
382 | if (fhDXY[i]) target.fhDXY[i] = (TH1F*) fhDXY[i]->Clone(); | |
383 | if (fhDZ[i]) target.fhDZ[i] = (TH1F*) fhDZ[i]->Clone(); | |
384 | if (fhDXYvsDZ[i]) target.fhDXYvsDZ[i] = (TH2F*) fhDXYvsDZ[i]->Clone(); | |
385 | ||
386 | if (fhDXYNormalized[i]) target.fhDXYNormalized[i] = (TH1F*) fhDXYNormalized[i]->Clone(); | |
387 | if (fhDZNormalized[i]) target.fhDZNormalized[i] = (TH1F*) fhDZNormalized[i]->Clone(); | |
388 | if (fhDXYvsDZNormalized[i]) target.fhDXYvsDZNormalized[i] = (TH2F*) fhDXYvsDZNormalized[i]->Clone(); | |
389 | if (fhNSigmaToVertex[i]) target.fhNSigmaToVertex[i] = (TH1F*) fhNSigmaToVertex[i]->Clone(); | |
390 | } | |
391 | if (ffDTheoretical) target.ffDTheoretical = (TF1*) ffDTheoretical->Clone(); | |
392 | ||
393 | if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone(); | |
394 | if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone(); | |
395 | ||
396 | TNamed::Copy(c); | |
397 | } | |
398 | ||
399 | //_____________________________________________________________________________ | |
400 | Long64_t AliESDtrackCuts::Merge(TCollection* list) { | |
401 | // Merge a list of AliESDtrackCuts objects with this (needed for PROOF) | |
402 | // Returns the number of merged objects (including this) | |
403 | ||
404 | if (!list) | |
405 | return 0; | |
406 | ||
407 | if (list->IsEmpty()) | |
408 | return 1; | |
409 | ||
410 | if (!fHistogramsOn) | |
411 | return 0; | |
412 | ||
413 | TIterator* iter = list->MakeIterator(); | |
414 | TObject* obj; | |
415 | ||
416 | ||
417 | // collection of measured and generated histograms | |
418 | Int_t count = 0; | |
419 | while ((obj = iter->Next())) { | |
420 | ||
421 | AliESDtrackCuts* entry = dynamic_cast<AliESDtrackCuts*>(obj); | |
422 | if (entry == 0) | |
423 | continue; | |
424 | ||
425 | if (!entry->fHistogramsOn) | |
426 | continue; | |
427 | ||
428 | for (Int_t i=0; i<2; i++) { | |
429 | ||
430 | fhNClustersITS[i] ->Add(entry->fhNClustersITS[i] ); | |
431 | fhNClustersTPC[i] ->Add(entry->fhNClustersTPC[i] ); | |
432 | ||
433 | fhChi2PerClusterITS[i] ->Add(entry->fhChi2PerClusterITS[i]); | |
434 | fhChi2PerClusterTPC[i] ->Add(entry->fhChi2PerClusterTPC[i]); | |
435 | ||
436 | fhC11[i] ->Add(entry->fhC11[i] ); | |
437 | fhC22[i] ->Add(entry->fhC22[i] ); | |
438 | fhC33[i] ->Add(entry->fhC33[i] ); | |
439 | fhC44[i] ->Add(entry->fhC44[i] ); | |
440 | fhC55[i] ->Add(entry->fhC55[i] ); | |
441 | ||
442 | fhDXY[i] ->Add(entry->fhDXY[i] ); | |
443 | fhDZ[i] ->Add(entry->fhDZ[i] ); | |
444 | fhDXYvsDZ[i] ->Add(entry->fhDXYvsDZ[i] ); | |
445 | ||
446 | fhDXYNormalized[i] ->Add(entry->fhDXYNormalized[i] ); | |
447 | fhDZNormalized[i] ->Add(entry->fhDZNormalized[i] ); | |
448 | fhDXYvsDZNormalized[i] ->Add(entry->fhDXYvsDZNormalized[i]); | |
449 | fhNSigmaToVertex[i] ->Add(entry->fhNSigmaToVertex[i]); | |
450 | ||
451 | } | |
452 | ||
453 | fhCutStatistics ->Add(entry->fhCutStatistics); | |
454 | fhCutCorrelation ->Add(entry->fhCutCorrelation); | |
455 | ||
456 | count++; | |
457 | } | |
458 | ||
459 | return count+1; | |
460 | } | |
461 | ||
462 | ||
463 | //____________________________________________________________________ | |
464 | Float_t AliESDtrackCuts::GetSigmaToVertex(AliESDtrack* esdTrack) | |
465 | { | |
466 | // Calculates the number of sigma to the vertex. | |
467 | ||
468 | Float_t b[2]; | |
469 | Float_t bRes[2]; | |
470 | Float_t bCov[3]; | |
471 | esdTrack->GetImpactParameters(b,bCov); | |
472 | if (bCov[0]<=0 || bCov[2]<=0) { | |
473 | AliDebug(1, "Estimated b resolution lower or equal zero!"); | |
474 | bCov[0]=0; bCov[2]=0; | |
475 | } | |
476 | bRes[0] = TMath::Sqrt(bCov[0]); | |
477 | bRes[1] = TMath::Sqrt(bCov[2]); | |
478 | ||
479 | // ----------------------------------- | |
480 | // How to get to a n-sigma cut? | |
481 | // | |
482 | // The accumulated statistics from 0 to d is | |
483 | // | |
484 | // -> Erf(d/Sqrt(2)) for a 1-dim gauss (d = n_sigma) | |
485 | // -> 1 - Exp(-d**2) for a 2-dim gauss (d*d = dx*dx + dy*dy != n_sigma) | |
486 | // | |
487 | // It means that for a 2-dim gauss: n_sigma(d) = Sqrt(2)*ErfInv(1 - Exp((-x**2)/2) | |
488 | // Can this be expressed in a different way? | |
489 | ||
490 | if (bRes[0] == 0 || bRes[1] ==0) | |
491 | return -1; | |
492 | ||
493 | Float_t d = TMath::Sqrt(TMath::Power(b[0]/bRes[0],2) + TMath::Power(b[1]/bRes[1],2)); | |
494 | ||
495 | // stupid rounding problem screws up everything: | |
496 | // if d is too big, TMath::Exp(...) gets 0, and TMath::ErfInverse(1) that should be infinite, gets 0 :( | |
497 | if (TMath::Exp(-d * d / 2) < 1e-10) | |
498 | return 1000; | |
499 | ||
500 | d = TMath::ErfInverse(1 - TMath::Exp(-d * d / 2)) * TMath::Sqrt(2); | |
501 | return d; | |
502 | } | |
503 | ||
504 | void AliESDtrackCuts::EnableNeededBranches(TTree* tree) | |
505 | { | |
506 | // enables the branches needed by AcceptTrack, for a list see comment of AcceptTrack | |
507 | ||
69376606 | 508 | tree->SetBranchStatus("Tracks.fFlags", 1); |
509 | tree->SetBranchStatus("Tracks.fITSncls", 1); | |
510 | tree->SetBranchStatus("Tracks.fTPCncls", 1); | |
511 | tree->SetBranchStatus("Tracks.fITSchi2", 1); | |
512 | tree->SetBranchStatus("Tracks.fTPCchi2", 1); | |
513 | tree->SetBranchStatus("Tracks.fC*", 1); | |
514 | tree->SetBranchStatus("Tracks.fD", 1); | |
515 | tree->SetBranchStatus("Tracks.fZ", 1); | |
516 | tree->SetBranchStatus("Tracks.fCdd", 1); | |
517 | tree->SetBranchStatus("Tracks.fCdz", 1); | |
518 | tree->SetBranchStatus("Tracks.fCzz", 1); | |
519 | tree->SetBranchStatus("Tracks.fP*", 1); | |
520 | tree->SetBranchStatus("Tracks.fR*", 1); | |
521 | tree->SetBranchStatus("Tracks.fKinkIndexes*", 1); | |
7dbd4e68 | 522 | } |
523 | ||
524 | //____________________________________________________________________ | |
525 | Bool_t | |
526 | AliESDtrackCuts::AcceptTrack(AliESDtrack* esdTrack) { | |
527 | // | |
528 | // figure out if the tracks survives all the track cuts defined | |
529 | // | |
530 | // the different quality parameter and kinematic values are first | |
531 | // retrieved from the track. then it is found out what cuts the | |
532 | // track did not survive and finally the cuts are imposed. | |
533 | ||
534 | // this function needs the following branches: | |
69376606 | 535 | // Tracks.fFlags |
536 | // Tracks.fITSncls | |
537 | // Tracks.fTPCncls | |
538 | // Tracks.fITSchi2 | |
539 | // Tracks.fTPCchi2 | |
540 | // Tracks.fC //GetExternalCovariance | |
541 | // Tracks.fD //GetImpactParameters | |
542 | // Tracks.fZ //GetImpactParameters | |
543 | // Tracks.fCdd //GetImpactParameters | |
544 | // Tracks.fCdz //GetImpactParameters | |
545 | // Tracks.fCzz //GetImpactParameters | |
546 | // Tracks.fP //GetPxPyPz | |
547 | // Tracks.fR //GetMass | |
548 | // Tracks.fP //GetMass | |
549 | // Tracks.fKinkIndexes | |
7dbd4e68 | 550 | |
551 | UInt_t status = esdTrack->GetStatus(); | |
552 | ||
553 | // dummy array | |
554 | Int_t fIdxInt[200]; | |
555 | ||
556 | // getting quality parameters from the ESD track | |
557 | Int_t nClustersITS = esdTrack->GetITSclusters(fIdxInt); | |
558 | Int_t nClustersTPC = esdTrack->GetTPCclusters(fIdxInt); | |
559 | ||
560 | ||
561 | ||
562 | Float_t chi2PerClusterITS = -1; | |
563 | Float_t chi2PerClusterTPC = -1; | |
564 | if (nClustersITS!=0) | |
565 | chi2PerClusterITS = esdTrack->GetITSchi2()/Float_t(nClustersITS); | |
566 | if (nClustersTPC!=0) | |
567 | chi2PerClusterTPC = esdTrack->GetTPCchi2()/Float_t(nClustersTPC); | |
568 | ||
569 | Double_t extCov[15]; | |
570 | esdTrack->GetExternalCovariance(extCov); | |
571 | ||
572 | // getting the track to vertex parameters | |
573 | Float_t nSigmaToVertex = GetSigmaToVertex(esdTrack); | |
574 | ||
575 | // getting the kinematic variables of the track | |
576 | // (assuming the mass is known) | |
577 | Double_t p[3]; | |
578 | esdTrack->GetPxPyPz(p); | |
579 | Float_t momentum = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2) + TMath::Power(p[2],2)); | |
580 | Float_t pt = TMath::Sqrt(TMath::Power(p[0],2) + TMath::Power(p[1],2)); | |
581 | Float_t energy = TMath::Sqrt(TMath::Power(esdTrack->GetMass(),2) + TMath::Power(momentum,2)); | |
582 | ||
583 | ||
584 | //y-eta related calculations | |
585 | Float_t eta = -100.; | |
586 | Float_t y = -100.; | |
587 | if((momentum != TMath::Abs(p[2]))&&(momentum != 0)) | |
588 | eta = 0.5*TMath::Log((momentum + p[2])/(momentum - p[2])); | |
589 | if((energy != TMath::Abs(p[2]))&&(momentum != 0)) | |
590 | y = 0.5*TMath::Log((energy + p[2])/(energy - p[2])); | |
591 | ||
592 | ||
593 | //######################################################################## | |
594 | // cut the track? | |
595 | ||
596 | Bool_t cuts[kNCuts]; | |
597 | for (Int_t i=0; i<kNCuts; i++) cuts[i]=kFALSE; | |
598 | ||
599 | // track quality cuts | |
600 | if (fCutRequireTPCRefit && (status&AliESDtrack::kTPCrefit)==0) | |
601 | cuts[0]=kTRUE; | |
602 | if (fCutRequireITSRefit && (status&AliESDtrack::kITSrefit)==0) | |
603 | cuts[1]=kTRUE; | |
604 | if (nClustersTPC<fCutMinNClusterTPC) | |
605 | cuts[2]=kTRUE; | |
606 | if (nClustersITS<fCutMinNClusterITS) | |
607 | cuts[3]=kTRUE; | |
608 | if (chi2PerClusterTPC>fCutMaxChi2PerClusterTPC) | |
609 | cuts[4]=kTRUE; | |
610 | if (chi2PerClusterITS>fCutMaxChi2PerClusterITS) | |
611 | cuts[5]=kTRUE; | |
612 | if (extCov[0] > fCutMaxC11) | |
613 | cuts[6]=kTRUE; | |
614 | if (extCov[2] > fCutMaxC22) | |
615 | cuts[7]=kTRUE; | |
616 | if (extCov[5] > fCutMaxC33) | |
617 | cuts[8]=kTRUE; | |
618 | if (extCov[9] > fCutMaxC44) | |
619 | cuts[9]=kTRUE; | |
620 | if (extCov[14] > fCutMaxC55) | |
621 | cuts[10]=kTRUE; | |
622 | if (nSigmaToVertex > fCutNsigmaToVertex) | |
623 | cuts[11] = kTRUE; | |
624 | // if n sigma could not be calculated | |
625 | if (nSigmaToVertex<0 && fCutSigmaToVertexRequired) | |
626 | cuts[12]=kTRUE; | |
627 | if (!fCutAcceptKinkDaughters && esdTrack->GetKinkIndex(0)>0) | |
628 | cuts[13]=kTRUE; | |
629 | // track kinematics cut | |
630 | if((momentum < fPMin) || (momentum > fPMax)) | |
631 | cuts[14]=kTRUE; | |
632 | if((pt < fPtMin) || (pt > fPtMax)) | |
633 | cuts[15] = kTRUE; | |
634 | if((p[0] < fPxMin) || (p[0] > fPxMax)) | |
635 | cuts[16] = kTRUE; | |
636 | if((p[1] < fPyMin) || (p[1] > fPyMax)) | |
637 | cuts[17] = kTRUE; | |
638 | if((p[2] < fPzMin) || (p[2] > fPzMax)) | |
639 | cuts[18] = kTRUE; | |
640 | if((eta < fEtaMin) || (eta > fEtaMax)) | |
641 | cuts[19] = kTRUE; | |
642 | if((y < fRapMin) || (y > fRapMax)) | |
643 | cuts[20] = kTRUE; | |
644 | ||
645 | Bool_t cut=kFALSE; | |
646 | for (Int_t i=0; i<kNCuts; i++) | |
647 | if (cuts[i]) cut = kTRUE; | |
648 | ||
649 | //######################################################################## | |
650 | // filling histograms | |
651 | if (fHistogramsOn) { | |
652 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n tracks"))); | |
653 | ||
654 | if (cut) | |
655 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin("n cut tracks"))); | |
656 | ||
657 | for (Int_t i=0; i<kNCuts; i++) { | |
658 | if (cuts[i]) | |
659 | fhCutStatistics->Fill(fhCutStatistics->GetBinCenter(fhCutStatistics->GetXaxis()->FindBin(fgkCutNames[i]))); | |
660 | ||
661 | for (Int_t j=i; j<kNCuts; j++) { | |
662 | if (cuts[i] && cuts[j]) { | |
32c7e1b6 | 663 | Float_t tx = fhCutCorrelation->GetXaxis()->GetBinCenter(fhCutCorrelation->GetXaxis()->FindBin(fgkCutNames[i])); |
664 | Float_t ty = fhCutCorrelation->GetYaxis()->GetBinCenter(fhCutCorrelation->GetYaxis()->FindBin(fgkCutNames[j])); | |
665 | fhCutCorrelation->Fill(tx,ty); | |
7dbd4e68 | 666 | } |
667 | } | |
668 | } | |
669 | ||
670 | ||
671 | fhNClustersITS[0]->Fill(nClustersITS); | |
672 | fhNClustersTPC[0]->Fill(nClustersTPC); | |
673 | fhChi2PerClusterITS[0]->Fill(chi2PerClusterITS); | |
674 | fhChi2PerClusterTPC[0]->Fill(chi2PerClusterTPC); | |
675 | ||
676 | fhC11[0]->Fill(extCov[0]); | |
677 | fhC22[0]->Fill(extCov[2]); | |
678 | fhC33[0]->Fill(extCov[5]); | |
679 | fhC44[0]->Fill(extCov[9]); | |
680 | fhC55[0]->Fill(extCov[14]); | |
681 | ||
682 | Float_t b[2]; | |
683 | Float_t bRes[2]; | |
684 | Float_t bCov[3]; | |
685 | esdTrack->GetImpactParameters(b,bCov); | |
686 | if (bCov[0]<=0 || bCov[2]<=0) { | |
687 | AliDebug(1, "Estimated b resolution lower or equal zero!"); | |
688 | bCov[0]=0; bCov[2]=0; | |
689 | } | |
690 | bRes[0] = TMath::Sqrt(bCov[0]); | |
691 | bRes[1] = TMath::Sqrt(bCov[2]); | |
692 | ||
693 | fhDZ[0]->Fill(b[1]); | |
694 | fhDXY[0]->Fill(b[0]); | |
695 | fhDXYvsDZ[0]->Fill(b[1],b[0]); | |
696 | ||
697 | if (bRes[0]!=0 && bRes[1]!=0) { | |
698 | fhDZNormalized[0]->Fill(b[1]/bRes[1]); | |
699 | fhDXYNormalized[0]->Fill(b[0]/bRes[0]); | |
700 | fhDXYvsDZNormalized[0]->Fill(b[1]/bRes[1], b[0]/bRes[0]); | |
701 | fhNSigmaToVertex[0]->Fill(nSigmaToVertex); | |
702 | } | |
703 | } | |
704 | ||
705 | //######################################################################## | |
706 | // cut the track! | |
707 | if (cut) return kFALSE; | |
708 | ||
709 | //######################################################################## | |
710 | // filling histograms after cut | |
711 | if (fHistogramsOn) { | |
712 | fhNClustersITS[1]->Fill(nClustersITS); | |
713 | fhNClustersTPC[1]->Fill(nClustersTPC); | |
714 | fhChi2PerClusterITS[1]->Fill(chi2PerClusterITS); | |
715 | fhChi2PerClusterTPC[1]->Fill(chi2PerClusterTPC); | |
716 | ||
717 | fhC11[1]->Fill(extCov[0]); | |
718 | fhC22[1]->Fill(extCov[2]); | |
719 | fhC33[1]->Fill(extCov[5]); | |
720 | fhC44[1]->Fill(extCov[9]); | |
721 | fhC55[1]->Fill(extCov[14]); | |
722 | ||
723 | Float_t b[2]; | |
724 | Float_t bRes[2]; | |
725 | Float_t bCov[3]; | |
726 | esdTrack->GetImpactParameters(b,bCov); | |
727 | if (bCov[0]<=0 || bCov[2]<=0) { | |
728 | AliDebug(1, "Estimated b resolution lower or equal zero!"); | |
729 | bCov[0]=0; bCov[2]=0; | |
730 | } | |
731 | bRes[0] = TMath::Sqrt(bCov[0]); | |
732 | bRes[1] = TMath::Sqrt(bCov[2]); | |
733 | ||
734 | fhDZ[1]->Fill(b[1]); | |
735 | fhDXY[1]->Fill(b[0]); | |
736 | fhDXYvsDZ[1]->Fill(b[1],b[0]); | |
737 | ||
738 | if (bRes[0]!=0 && bRes[1]!=0) | |
739 | { | |
740 | fhDZNormalized[1]->Fill(b[1]/bRes[1]); | |
741 | fhDXYNormalized[1]->Fill(b[0]/bRes[0]); | |
742 | fhDXYvsDZNormalized[1]->Fill(b[1]/bRes[1], b[0]/bRes[0]); | |
743 | fhNSigmaToVertex[1]->Fill(nSigmaToVertex); | |
744 | } | |
745 | } | |
746 | ||
747 | return kTRUE; | |
748 | } | |
749 | ||
750 | //____________________________________________________________________ | |
751 | TObjArray* | |
752 | AliESDtrackCuts::GetAcceptedTracks(AliESD* esd) | |
753 | { | |
754 | // | |
755 | // returns an array of all tracks that pass the cuts | |
756 | // | |
757 | ||
758 | TObjArray* acceptedTracks = new TObjArray(); | |
759 | ||
760 | // loop over esd tracks | |
761 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
762 | AliESDtrack* track = esd->GetTrack(iTrack); | |
763 | ||
764 | if (AcceptTrack(track)) | |
765 | acceptedTracks->Add(track); | |
766 | } | |
767 | ||
768 | return acceptedTracks; | |
769 | } | |
770 | ||
771 | //____________________________________________________________________ | |
772 | Int_t | |
773 | AliESDtrackCuts::CountAcceptedTracks(AliESD* esd) | |
774 | { | |
775 | // | |
776 | // returns an the number of tracks that pass the cuts | |
777 | // | |
778 | ||
779 | Int_t count = 0; | |
780 | ||
781 | // loop over esd tracks | |
782 | for (Int_t iTrack = 0; iTrack < esd->GetNumberOfTracks(); iTrack++) { | |
783 | AliESDtrack* track = esd->GetTrack(iTrack); | |
784 | ||
785 | if (AcceptTrack(track)) | |
786 | count++; | |
787 | } | |
788 | ||
789 | return count; | |
790 | } | |
791 | ||
792 | //____________________________________________________________________ | |
793 | void AliESDtrackCuts::DefineHistograms(Int_t color) { | |
794 | // | |
795 | // diagnostics histograms are defined | |
796 | // | |
797 | ||
798 | fHistogramsOn=kTRUE; | |
799 | ||
800 | //################################################################################### | |
801 | // defining histograms | |
802 | ||
803 | fhCutStatistics = new TH1F("cut_statistics","cut statistics",kNCuts+4,-0.5,kNCuts+3.5); | |
804 | ||
805 | fhCutStatistics->GetXaxis()->SetBinLabel(1,"n tracks"); | |
806 | fhCutStatistics->GetXaxis()->SetBinLabel(2,"n cut tracks"); | |
807 | ||
808 | fhCutCorrelation = new TH2F("cut_correlation","cut correlation",kNCuts,-0.5,kNCuts-0.5,kNCuts,-0.5,kNCuts-0.5);; | |
809 | ||
810 | for (Int_t i=0; i<kNCuts; i++) { | |
811 | fhCutStatistics->GetXaxis()->SetBinLabel(i+4,fgkCutNames[i]); | |
812 | fhCutCorrelation->GetXaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
813 | fhCutCorrelation->GetYaxis()->SetBinLabel(i+1,fgkCutNames[i]); | |
814 | } | |
815 | ||
816 | fhCutStatistics ->SetLineColor(color); | |
817 | fhCutCorrelation ->SetLineColor(color); | |
818 | fhCutStatistics ->SetLineWidth(2); | |
819 | fhCutCorrelation ->SetLineWidth(2); | |
820 | ||
821 | Char_t str[256]; | |
822 | for (Int_t i=0; i<2; i++) { | |
823 | if (i==0) sprintf(str," "); | |
824 | else sprintf(str,"_cut"); | |
825 | ||
826 | fhNClustersITS[i] = new TH1F(Form("nClustersITS%s",str),"",8,-0.5,7.5); | |
827 | fhNClustersTPC[i] = new TH1F(Form("nClustersTPC%s",str),"",165,-0.5,164.5); | |
828 | fhChi2PerClusterITS[i] = new TH1F(Form("chi2PerClusterITS%s",str),"",500,0,10); | |
829 | fhChi2PerClusterTPC[i] = new TH1F(Form("chi2PerClusterTPC%s",str),"",500,0,10); | |
830 | ||
831 | fhC11[i] = new TH1F(Form("covMatrixDiagonal11%s",str),"",2000,0,20); | |
832 | fhC22[i] = new TH1F(Form("covMatrixDiagonal22%s",str),"",2000,0,20); | |
833 | fhC33[i] = new TH1F(Form("covMatrixDiagonal33%s",str),"",1000,0,1); | |
834 | fhC44[i] = new TH1F(Form("covMatrixDiagonal44%s",str),"",1000,0,5); | |
835 | fhC55[i] = new TH1F(Form("covMatrixDiagonal55%s",str),"",1000,0,5); | |
836 | ||
837 | fhDXY[i] = new TH1F(Form("dXY%s",str),"",500,-10,10); | |
838 | fhDZ[i] = new TH1F(Form("dZ%s",str),"",500,-10,10); | |
839 | fhDXYvsDZ[i] = new TH2F(Form("dXYvsDZ%s",str),"",200,-10,10,200,-10,10); | |
840 | ||
841 | fhDXYNormalized[i] = new TH1F(Form("dXYNormalized%s",str),"",500,-10,10); | |
842 | fhDZNormalized[i] = new TH1F(Form("dZNormalized%s",str),"",500,-10,10); | |
843 | fhDXYvsDZNormalized[i] = new TH2F(Form("dXYvsDZNormalized%s",str),"",200,-10,10,200,-10,10); | |
844 | ||
845 | fhNSigmaToVertex[i] = new TH1F(Form("nSigmaToVertex%s",str),"",500,0,50); | |
846 | ||
847 | fhNClustersITS[i]->SetXTitle("n ITS clusters"); | |
848 | fhNClustersTPC[i]->SetXTitle("n TPC clusters"); | |
849 | fhChi2PerClusterITS[i]->SetXTitle("#Chi^{2} per ITS cluster"); | |
850 | fhChi2PerClusterTPC[i]->SetXTitle("#Chi^{2} per TPC cluster"); | |
851 | ||
852 | fhC11[i]->SetXTitle("cov 11 : #sigma_{y}^{2} [cm^{2}]"); | |
853 | fhC22[i]->SetXTitle("cov 22 : #sigma_{z}^{2} [cm^{2}]"); | |
854 | fhC33[i]->SetXTitle("cov 33 : #sigma_{sin(#phi)}^{2}"); | |
855 | fhC44[i]->SetXTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}"); | |
856 | fhC55[i]->SetXTitle("cov 55 : #sigma_{1/p_{T}}^{2} [(c/GeV)^2]"); | |
857 | ||
858 | fhDXY[i]->SetXTitle("transverse impact parameter"); | |
859 | fhDZ[i]->SetXTitle("longitudinal impact parameter"); | |
860 | fhDXYvsDZ[i]->SetXTitle("longitudinal impact parameter"); | |
861 | fhDXYvsDZ[i]->SetYTitle("transverse impact parameter"); | |
862 | ||
863 | fhDXYNormalized[i]->SetXTitle("normalized trans impact par"); | |
864 | fhDZNormalized[i]->SetXTitle("normalized long impact par"); | |
865 | fhDXYvsDZNormalized[i]->SetXTitle("normalized long impact par"); | |
866 | fhDXYvsDZNormalized[i]->SetYTitle("normalized trans impact par"); | |
867 | fhNSigmaToVertex[i]->SetXTitle("n #sigma to vertex"); | |
868 | ||
869 | fhNClustersITS[i]->SetLineColor(color); fhNClustersITS[i]->SetLineWidth(2); | |
870 | fhNClustersTPC[i]->SetLineColor(color); fhNClustersTPC[i]->SetLineWidth(2); | |
871 | fhChi2PerClusterITS[i]->SetLineColor(color); fhChi2PerClusterITS[i]->SetLineWidth(2); | |
872 | fhChi2PerClusterTPC[i]->SetLineColor(color); fhChi2PerClusterTPC[i]->SetLineWidth(2); | |
873 | ||
874 | fhC11[i]->SetLineColor(color); fhC11[i]->SetLineWidth(2); | |
875 | fhC22[i]->SetLineColor(color); fhC22[i]->SetLineWidth(2); | |
876 | fhC33[i]->SetLineColor(color); fhC33[i]->SetLineWidth(2); | |
877 | fhC44[i]->SetLineColor(color); fhC44[i]->SetLineWidth(2); | |
878 | fhC55[i]->SetLineColor(color); fhC55[i]->SetLineWidth(2); | |
879 | ||
880 | fhDXY[i]->SetLineColor(color); fhDXY[i]->SetLineWidth(2); | |
881 | fhDZ[i]->SetLineColor(color); fhDZ[i]->SetLineWidth(2); | |
882 | ||
883 | fhDXYNormalized[i]->SetLineColor(color); fhDXYNormalized[i]->SetLineWidth(2); | |
884 | fhDZNormalized[i]->SetLineColor(color); fhDZNormalized[i]->SetLineWidth(2); | |
885 | fhNSigmaToVertex[i]->SetLineColor(color); fhNSigmaToVertex[i]->SetLineWidth(2); | |
886 | } | |
887 | ||
888 | // The number of sigmas to the vertex is per definition gaussian | |
889 | ffDTheoretical = new TF1("nSigmaToVertexTheoretical","([0]/2.506628274)*exp(-(x**2)/2)",0,50); | |
890 | ffDTheoretical->SetParameter(0,1); | |
891 | } | |
892 | ||
893 | ||
894 | ||
895 | //____________________________________________________________________ | |
896 | void | |
897 | AliESDtrackCuts::Print(const Option_t*) const { | |
898 | // | |
899 | // print method - still to be implemented | |
900 | // | |
901 | ||
902 | AliInfo("AliESDtrackCuts..."); | |
903 | } | |
904 | ||
905 | ||
906 | //____________________________________________________________________ | |
907 | void AliESDtrackCuts::SaveHistograms(Char_t* dir) { | |
908 | // | |
909 | // saves the histograms in a directory (dir) | |
910 | // | |
911 | ||
912 | ||
913 | if (!fHistogramsOn) { | |
914 | AliDebug(0, "Histograms not on - cannot save histograms!!!"); | |
915 | return; | |
916 | } | |
917 | ||
918 | gDirectory->mkdir(dir); | |
919 | gDirectory->cd(dir); | |
920 | TString outfile = 0; | |
921 | outfile = dir; outfile += ".root"; | |
922 | TFile *f = TFile::Open(outfile.Data(),"recreate"); | |
923 | ||
924 | gDirectory->mkdir("before_cuts"); | |
925 | gDirectory->mkdir("after_cuts"); | |
926 | ||
927 | // a factor of 2 is needed since n sigma is positive | |
928 | ffDTheoretical->SetParameter(0,2*fhNSigmaToVertex[0]->Integral("width")); | |
929 | ffDTheoretical->Write("nSigmaToVertexTheory"); | |
930 | ||
931 | fhCutStatistics->Write(); | |
932 | fhCutCorrelation->Write(); | |
933 | ||
934 | for (Int_t i=0; i<2; i++) { | |
935 | if (i==0) | |
936 | gDirectory->cd("before_cuts"); | |
937 | else | |
938 | gDirectory->cd("after_cuts"); | |
939 | fhNClustersITS[i] ->Write(); | |
940 | fhNClustersTPC[i] ->Write(); | |
941 | fhChi2PerClusterITS[i] ->Write(); | |
942 | fhChi2PerClusterTPC[i] ->Write(); | |
943 | ||
944 | fhC11[i] ->Write(); | |
945 | fhC22[i] ->Write(); | |
946 | fhC33[i] ->Write(); | |
947 | fhC44[i] ->Write(); | |
948 | fhC55[i] ->Write(); | |
949 | ||
950 | fhDXY[i] ->Write(); | |
951 | fhDZ[i] ->Write(); | |
952 | fhDXYvsDZ[i] ->Write(); | |
953 | ||
954 | fhDXYNormalized[i] ->Write(); | |
955 | fhDZNormalized[i] ->Write(); | |
956 | fhDXYvsDZNormalized[i] ->Write(); | |
957 | fhNSigmaToVertex[i] ->Write(); | |
958 | ||
959 | gDirectory->cd("../"); | |
960 | } | |
961 | ||
962 | f->Close(); | |
963 | ||
964 | gDirectory->cd("../"); | |
965 | } | |
966 | ||
967 | ||
968 |