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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 * | |
8 | * documentation strictly for non-commercial purposes is hereby granted * | |
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 | // The class AliCFTrackQualityCuts is designed to select reconstructed tracks | |
17 | // of high quality and to provide corresponding QA histograms. | |
18 | // This class inherits from the Analysis' Framework abstract base class | |
19 | // AliAnalysisCuts and is a part of the Correction Framework. | |
20 | // This class acts on single, reconstructed tracks, it is applicable on | |
21 | // ESD and AOD data. | |
22 | // It mainly consists of a IsSelected function that returns a boolean. | |
23 | // This function checks whether the considered track passes a set of cuts: | |
24 | // - number of clusters in the TPC | |
25 | // - number of clusters in the ITS | |
26 | // - chi2 / cluster in the TPC | |
27 | // - chi2 / cluster in the ITS | |
28 | // - successful TPC refit | |
29 | // - successful ITS refit | |
30 | // - covariance matrix diagonal elements | |
31 | // | |
32 | // The cut values for these cuts are set with the corresponding set functions. | |
33 | // All cut classes provided by the correction framework are supposed to be | |
34 | // added in the Analysis Framwork's class AliAnalysisFilter and applied by | |
35 | // the filter via a loop. | |
36 | // | |
37 | // author: I. Kraus (Ingrid.Kraus@cern.ch) | |
38 | // idea taken form | |
39 | // AliESDtrackCuts writte by Jan Fiete Grosse-Oetringhaus and | |
40 | // AliRsnDaughterCut class written by A. Pulvirenti. | |
41 | ||
42 | ||
43 | #include <TCanvas.h> | |
44 | #include <TDirectory.h> | |
45 | #include <TBits.h> | |
46 | #include <TH2.h> | |
47 | ||
48 | #include <AliESDtrack.h> | |
49 | #include <AliLog.h> | |
50 | #include "AliCFTrackQualityCuts.h" | |
51 | ||
52 | ClassImp(AliCFTrackQualityCuts) | |
53 | ||
54 | //__________________________________________________________________________________ | |
55 | AliCFTrackQualityCuts::AliCFTrackQualityCuts() : | |
56 | AliCFCutBase(), | |
57 | fMinNClusterTPC(0), | |
58 | fMinNClusterITS(0), | |
59 | fMaxChi2PerClusterTPC(0), | |
60 | fMaxChi2PerClusterITS(0), | |
61 | fRequireTPCRefit(0), | |
62 | fRequireITSRefit(0), | |
63 | fCovariance11Max(0), | |
64 | fCovariance22Max(0), | |
65 | fCovariance33Max(0), | |
66 | fCovariance44Max(0), | |
67 | fCovariance55Max(0), | |
68 | fhCutStatistics(0), | |
69 | fhCutCorrelation(0), | |
70 | fBitmap(0x0), | |
71 | fhNBinsClusterTPC(0), | |
72 | fhNBinsClusterITS(0), | |
73 | fhNBinsChi2TPC(0), | |
74 | fhNBinsChi2ITS(0), | |
75 | fhNBinsRefitTPC(0), | |
76 | fhNBinsRefitITS(0), | |
77 | fhNBinsCovariance11(0), | |
78 | fhNBinsCovariance22(0), | |
79 | fhNBinsCovariance33(0), | |
80 | fhNBinsCovariance44(0), | |
81 | fhNBinsCovariance55(0), | |
82 | fhBinLimClusterTPC(0x0), | |
83 | fhBinLimClusterITS(0x0), | |
84 | fhBinLimChi2TPC(0x0), | |
85 | fhBinLimChi2ITS(0x0), | |
86 | fhBinLimRefitTPC(0x0), | |
87 | fhBinLimRefitITS(0x0), | |
88 | fhBinLimCovariance11(0x0), | |
89 | fhBinLimCovariance22(0x0), | |
90 | fhBinLimCovariance33(0x0), | |
91 | fhBinLimCovariance44(0x0), | |
92 | fhBinLimCovariance55(0x0) | |
93 | { | |
94 | // | |
95 | // Default constructor | |
96 | // | |
97 | fBitmap=new TBits(0); | |
98 | Initialise(); | |
99 | } | |
100 | //__________________________________________________________________________________ | |
101 | AliCFTrackQualityCuts::AliCFTrackQualityCuts(Char_t* name, Char_t* title) : | |
102 | AliCFCutBase(name,title), | |
103 | fMinNClusterTPC(0), | |
104 | fMinNClusterITS(0), | |
105 | fMaxChi2PerClusterTPC(0), | |
106 | fMaxChi2PerClusterITS(0), | |
107 | fRequireTPCRefit(0), | |
108 | fRequireITSRefit(0), | |
109 | fCovariance11Max(0), | |
110 | fCovariance22Max(0), | |
111 | fCovariance33Max(0), | |
112 | fCovariance44Max(0), | |
113 | fCovariance55Max(0), | |
114 | fhCutStatistics(0), | |
115 | fhCutCorrelation(0), | |
116 | fBitmap(0x0), | |
117 | fhNBinsClusterTPC(0), | |
118 | fhNBinsClusterITS(0), | |
119 | fhNBinsChi2TPC(0), | |
120 | fhNBinsChi2ITS(0), | |
121 | fhNBinsRefitTPC(0), | |
122 | fhNBinsRefitITS(0), | |
123 | fhNBinsCovariance11(0), | |
124 | fhNBinsCovariance22(0), | |
125 | fhNBinsCovariance33(0), | |
126 | fhNBinsCovariance44(0), | |
127 | fhNBinsCovariance55(0), | |
128 | fhBinLimClusterTPC(0x0), | |
129 | fhBinLimClusterITS(0x0), | |
130 | fhBinLimChi2TPC(0x0), | |
131 | fhBinLimChi2ITS(0x0), | |
132 | fhBinLimRefitTPC(0x0), | |
133 | fhBinLimRefitITS(0x0), | |
134 | fhBinLimCovariance11(0x0), | |
135 | fhBinLimCovariance22(0x0), | |
136 | fhBinLimCovariance33(0x0), | |
137 | fhBinLimCovariance44(0x0), | |
138 | fhBinLimCovariance55(0x0) | |
139 | ||
140 | { | |
141 | // | |
142 | // Constructor | |
143 | // | |
144 | fBitmap=new TBits(0); | |
145 | Initialise(); | |
146 | } | |
147 | //__________________________________________________________________________________ | |
148 | AliCFTrackQualityCuts::AliCFTrackQualityCuts(const AliCFTrackQualityCuts& c) : | |
149 | AliCFCutBase(c), | |
150 | fMinNClusterTPC(c.fMinNClusterTPC), | |
151 | fMinNClusterITS(c.fMinNClusterITS), | |
152 | fMaxChi2PerClusterTPC(c.fMaxChi2PerClusterTPC), | |
153 | fMaxChi2PerClusterITS(c.fMaxChi2PerClusterITS), | |
154 | fRequireTPCRefit(c.fRequireTPCRefit), | |
155 | fRequireITSRefit(c.fRequireITSRefit), | |
156 | fCovariance11Max(c.fCovariance11Max), | |
157 | fCovariance22Max(c.fCovariance22Max), | |
158 | fCovariance33Max(c.fCovariance33Max), | |
159 | fCovariance44Max(c.fCovariance44Max), | |
160 | fCovariance55Max(c.fCovariance55Max), | |
161 | fhCutStatistics(c.fhCutStatistics), | |
162 | fhCutCorrelation(c.fhCutCorrelation), | |
163 | fBitmap(c.fBitmap), | |
164 | fhNBinsClusterTPC(c.fhNBinsClusterTPC), | |
165 | fhNBinsClusterITS(c.fhNBinsClusterITS), | |
166 | fhNBinsChi2TPC(c.fhNBinsChi2TPC), | |
167 | fhNBinsChi2ITS(c.fhNBinsChi2ITS), | |
168 | fhNBinsRefitTPC(c.fhNBinsRefitTPC), | |
169 | fhNBinsRefitITS(c.fhNBinsRefitITS), | |
170 | fhNBinsCovariance11(c.fhNBinsCovariance11), | |
171 | fhNBinsCovariance22(c.fhNBinsCovariance22), | |
172 | fhNBinsCovariance33(c.fhNBinsCovariance33), | |
173 | fhNBinsCovariance44(c.fhNBinsCovariance44), | |
174 | fhNBinsCovariance55(c.fhNBinsCovariance55), | |
175 | fhBinLimClusterTPC(c.fhBinLimClusterTPC), | |
176 | fhBinLimClusterITS(c.fhBinLimClusterITS), | |
177 | fhBinLimChi2TPC(c.fhBinLimChi2TPC), | |
178 | fhBinLimChi2ITS(c.fhBinLimChi2ITS), | |
179 | fhBinLimRefitTPC(c.fhBinLimRefitTPC), | |
180 | fhBinLimRefitITS(c.fhBinLimRefitITS), | |
181 | fhBinLimCovariance11(c.fhBinLimCovariance11), | |
182 | fhBinLimCovariance22(c.fhBinLimCovariance22), | |
183 | fhBinLimCovariance33(c.fhBinLimCovariance33), | |
184 | fhBinLimCovariance44(c.fhBinLimCovariance44), | |
185 | fhBinLimCovariance55(c.fhBinLimCovariance55) | |
186 | { | |
187 | // | |
188 | // copy constructor | |
189 | // | |
190 | ((AliCFTrackQualityCuts &) c).Copy(*this); | |
191 | } | |
192 | //__________________________________________________________________________________ | |
193 | AliCFTrackQualityCuts& AliCFTrackQualityCuts::operator=(const AliCFTrackQualityCuts& c) | |
194 | { | |
195 | // | |
196 | // Assignment operator | |
197 | // | |
198 | if (this != &c) { | |
199 | AliCFCutBase::operator=(c) ; | |
200 | fMinNClusterTPC = c.fMinNClusterTPC ; | |
201 | fMinNClusterITS = c.fMinNClusterITS ; | |
202 | fMaxChi2PerClusterTPC = c.fMaxChi2PerClusterTPC ; | |
203 | fMaxChi2PerClusterITS = c.fMaxChi2PerClusterITS ; | |
204 | fRequireTPCRefit = c.fRequireTPCRefit ; | |
205 | fRequireITSRefit = c.fRequireITSRefit ; | |
206 | fCovariance11Max = c.fCovariance11Max ; | |
207 | fCovariance22Max = c.fCovariance22Max ; | |
208 | fCovariance33Max = c.fCovariance33Max ; | |
209 | fCovariance44Max = c.fCovariance44Max ; | |
210 | fCovariance55Max = c.fCovariance55Max ; | |
211 | fhCutStatistics = c.fhCutStatistics ; | |
212 | fhCutCorrelation = c.fhCutCorrelation ; | |
213 | fBitmap = c.fBitmap ; | |
214 | ||
215 | fhNBinsClusterTPC = c.fhNBinsClusterTPC ; | |
216 | fhNBinsClusterITS = c.fhNBinsClusterITS ; | |
217 | fhNBinsChi2TPC = c.fhNBinsChi2TPC ; | |
218 | fhNBinsChi2ITS = c.fhNBinsChi2ITS ; | |
219 | fhNBinsRefitTPC = c.fhNBinsRefitTPC ; | |
220 | fhNBinsRefitITS = c.fhNBinsRefitITS ; | |
221 | fhNBinsCovariance11 = c.fhNBinsCovariance11 ; | |
222 | fhNBinsCovariance22 = c.fhNBinsCovariance22 ; | |
223 | fhNBinsCovariance33 = c.fhNBinsCovariance33 ; | |
224 | fhNBinsCovariance44 = c.fhNBinsCovariance44 ; | |
225 | fhNBinsCovariance55 = c.fhNBinsCovariance55 ; | |
226 | fhBinLimClusterTPC = c.fhBinLimClusterTPC ; | |
227 | fhBinLimClusterITS = c.fhBinLimClusterITS ; | |
228 | fhBinLimChi2TPC = c.fhBinLimChi2TPC ; | |
229 | fhBinLimChi2ITS = c.fhBinLimChi2ITS ; | |
230 | fhBinLimRefitTPC = c.fhBinLimRefitTPC ; | |
231 | fhBinLimRefitITS = c.fhBinLimRefitITS ; | |
232 | fhBinLimCovariance11 = c.fhBinLimCovariance11 ; | |
233 | fhBinLimCovariance22 = c.fhBinLimCovariance22 ; | |
234 | fhBinLimCovariance33 = c.fhBinLimCovariance33 ; | |
235 | fhBinLimCovariance44 = c.fhBinLimCovariance44 ; | |
236 | fhBinLimCovariance55 = c.fhBinLimCovariance55 ; | |
237 | ||
238 | for (Int_t i=0; i<c.kNHist; i++){ | |
239 | for (Int_t j=0; j<c.kNStepQA; j++){ | |
240 | if(c.fhQA[i][j]) fhQA[i][j] = (TH1F*)c.fhQA[i][j]->Clone(); | |
241 | } | |
242 | } | |
243 | ||
244 | ((AliCFTrackQualityCuts &) c).Copy(*this); | |
245 | } | |
246 | return *this; | |
247 | } | |
248 | //__________________________________________________________________________________ | |
249 | AliCFTrackQualityCuts::~AliCFTrackQualityCuts() | |
250 | { | |
251 | // | |
252 | // destructor | |
253 | // | |
254 | if (fhCutStatistics) delete fhCutStatistics; | |
255 | if (fhCutCorrelation) delete fhCutCorrelation; | |
256 | ||
257 | for (Int_t i=0; i<kNHist; i++){ | |
258 | for (Int_t j=0; j<kNStepQA; j++){ | |
259 | if(fhQA[i][j]) delete fhQA[i][j]; | |
260 | } | |
261 | } | |
262 | ||
263 | if(fBitmap) delete fBitmap; | |
264 | ||
265 | if(fhBinLimClusterTPC) delete fhBinLimClusterTPC; | |
266 | if(fhBinLimClusterITS) delete fhBinLimClusterITS; | |
267 | if(fhBinLimChi2TPC) delete fhBinLimChi2TPC; | |
268 | if(fhBinLimChi2ITS) delete fhBinLimChi2ITS; | |
269 | if(fhBinLimRefitTPC) delete fhBinLimRefitTPC; | |
270 | if(fhBinLimRefitITS) delete fhBinLimRefitITS; | |
271 | if(fhBinLimCovariance11) delete fhBinLimCovariance11; | |
272 | if(fhBinLimCovariance22) delete fhBinLimCovariance22; | |
273 | if(fhBinLimCovariance33) delete fhBinLimCovariance33; | |
274 | if(fhBinLimCovariance44) delete fhBinLimCovariance44; | |
275 | if(fhBinLimCovariance55) delete fhBinLimCovariance55; | |
276 | ||
277 | ||
278 | ||
279 | } | |
280 | //__________________________________________________________________________________ | |
281 | void AliCFTrackQualityCuts::Initialise() | |
282 | { | |
283 | // | |
284 | // sets everything to zero | |
285 | // | |
286 | fMinNClusterTPC = 0; | |
287 | fMinNClusterITS = 0; | |
288 | fMaxChi2PerClusterTPC = 0; | |
289 | fMaxChi2PerClusterITS = 0; | |
290 | fRequireTPCRefit = 0; | |
291 | fRequireITSRefit = 0; | |
292 | fCovariance11Max = 0; | |
293 | fCovariance22Max = 0; | |
294 | fCovariance33Max = 0; | |
295 | fCovariance44Max = 0; | |
296 | fCovariance55Max = 0; | |
297 | ||
298 | SetMinNClusterTPC(); | |
299 | SetMinNClusterITS(); | |
300 | SetMaxChi2PerClusterTPC(); | |
301 | SetMaxChi2PerClusterITS(); | |
302 | SetRequireTPCRefit(); | |
303 | SetRequireITSRefit(); | |
304 | SetMaxCovDiagonalElements(); | |
305 | ||
306 | for (Int_t i=0; i<kNHist; i++){ | |
307 | for (Int_t j=0; j<kNStepQA; j++) { | |
308 | fhQA[i][j] = 0x0; | |
309 | } | |
310 | } | |
311 | fhCutStatistics = 0; | |
312 | fhCutCorrelation = 0; | |
313 | ||
314 | ||
315 | //set default bining for QA histograms | |
316 | SetHistogramBins(kCutClusterTPC,165,-0.5,164.5); | |
317 | SetHistogramBins(kCutClusterITS,8,-0.5,7.5); | |
318 | SetHistogramBins(kCutChi2TPC,500,0,10); | |
319 | SetHistogramBins(kCutChi2ITS,500,0,10); | |
320 | SetHistogramBins(kCutRefitTPC,2,-0.5,1.5); | |
321 | SetHistogramBins(kCutRefitITS,2,-0.5,1.5); | |
322 | SetHistogramBins(kCutCovElement11,200,0,20); | |
323 | SetHistogramBins(kCutCovElement22,200,0,20); | |
324 | SetHistogramBins(kCutCovElement33,100,0,1); | |
325 | SetHistogramBins(kCutCovElement44,100,0,5); | |
326 | SetHistogramBins(kCutCovElement55,100,0,5); | |
327 | ||
328 | } | |
329 | //__________________________________________________________________________________ | |
330 | void AliCFTrackQualityCuts::Copy(TObject &c) const | |
331 | { | |
332 | // | |
333 | // Copy function | |
334 | // | |
335 | AliCFTrackQualityCuts& target = (AliCFTrackQualityCuts &) c; | |
336 | ||
337 | target.Initialise(); | |
338 | ||
339 | if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone(); | |
340 | if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone(); | |
341 | ||
342 | for (Int_t i=0; i<kNHist; i++){ | |
343 | for (Int_t j=0; j<kNStepQA; j++){ | |
344 | if(fhQA[i][j]) target.fhQA[i][j] = (TH1F*)fhQA[i][j]->Clone(); | |
345 | } | |
346 | } | |
347 | ||
348 | TNamed::Copy(c); | |
349 | } | |
350 | //__________________________________________________________________________________ | |
351 | void AliCFTrackQualityCuts::GetBitMap(TObject* obj, TBits *bitmap) { | |
352 | // | |
353 | // retrieve the pointer to the bitmap | |
354 | // | |
355 | bitmap = SelectionBitMap(obj); | |
356 | } | |
357 | //__________________________________________________________________________________ | |
358 | TBits* AliCFTrackQualityCuts::SelectionBitMap(TObject* obj) | |
359 | { | |
360 | // | |
361 | // test if the track passes the single cuts | |
362 | // and store the information in a bitmap | |
363 | // | |
364 | ||
365 | // bitmap stores the decision of each single cut | |
366 | for(Int_t i=0; i<kNCuts; i++)fBitmap->SetBitNumber(i,kFALSE); | |
367 | ||
368 | // cast TObject into ESDtrack | |
369 | AliESDtrack* esdTrack = dynamic_cast<AliESDtrack *>(obj); | |
370 | if ( !esdTrack ) return fBitmap ; | |
371 | ||
372 | for(Int_t i=0; i<kNCuts; i++)fBitmap->SetBitNumber(i,kTRUE); | |
373 | ||
374 | // get cut quantities | |
375 | Int_t fIdxInt[200]; | |
376 | Int_t nClustersTPC = esdTrack->GetTPCclusters(fIdxInt); | |
377 | Int_t nClustersITS = esdTrack->GetITSclusters(fIdxInt); | |
378 | ||
379 | Float_t chi2PerClusterTPC = -1; | |
380 | Float_t chi2PerClusterITS = -1; | |
381 | ||
382 | if (nClustersTPC != 0) | |
383 | chi2PerClusterTPC = esdTrack->GetTPCchi2() / Float_t(nClustersTPC); | |
384 | if (nClustersITS!=0) | |
385 | chi2PerClusterITS = esdTrack->GetITSchi2() / Float_t(nClustersITS); | |
386 | ||
387 | Double_t extCov[15]; | |
388 | esdTrack->GetExternalCovariance(extCov); | |
389 | ||
390 | ||
391 | // fill the bitmap | |
392 | Int_t iCutBit = 0; | |
393 | ||
394 | if (nClustersTPC < fMinNClusterTPC) | |
395 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
396 | iCutBit++; | |
397 | if (nClustersITS < fMinNClusterITS) | |
398 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
399 | iCutBit++; | |
400 | if (chi2PerClusterTPC > fMaxChi2PerClusterTPC) | |
401 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
402 | iCutBit++; | |
403 | if (chi2PerClusterITS > fMaxChi2PerClusterITS) | |
404 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
405 | iCutBit++; | |
406 | if (fRequireTPCRefit && (esdTrack->GetStatus()&AliESDtrack::kTPCrefit)==0) | |
407 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
408 | iCutBit++; | |
409 | if (fRequireITSRefit && (esdTrack->GetStatus()&AliESDtrack::kITSrefit)==0) | |
410 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
411 | iCutBit++; | |
412 | if (extCov[0] > fCovariance11Max) | |
413 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
414 | iCutBit++; | |
415 | if (extCov[2] > fCovariance22Max) | |
416 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
417 | iCutBit++; | |
418 | if (extCov[5] > fCovariance33Max) | |
419 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
420 | iCutBit++; | |
421 | if (extCov[9] > fCovariance44Max) | |
422 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
423 | iCutBit++; | |
424 | if (extCov[14] > fCovariance55Max) | |
425 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
426 | ||
427 | return fBitmap; | |
428 | } | |
429 | //__________________________________________________________________________________ | |
430 | Bool_t AliCFTrackQualityCuts::IsSelected(TObject* obj) { | |
431 | // | |
432 | // loops over decisions of single cuts and returns if the track is accepted | |
433 | // | |
434 | TBits* bitmap = SelectionBitMap(obj); | |
435 | ||
436 | Bool_t isSelected = kTRUE; | |
437 | ||
438 | for (UInt_t icut=0; icut<bitmap->GetNbits();icut++) | |
439 | if(!bitmap->TestBitNumber(icut)) isSelected = kFALSE; | |
440 | ||
441 | return isSelected; | |
442 | } | |
443 | //__________________________________________________________________________________ | |
444 | void AliCFTrackQualityCuts::Init() { | |
445 | // | |
446 | // initialises all histograms and the TList which holds the histograms | |
447 | // | |
448 | if(fIsQAOn) | |
449 | DefineHistograms(); | |
450 | } | |
451 | //__________________________________________________________________________________ | |
452 | void AliCFTrackQualityCuts::SetHistogramBins(Int_t index, Int_t nbins, Double_t *bins) | |
453 | { | |
454 | // | |
455 | // variable bin size | |
456 | // | |
457 | if(!fIsQAOn) return; | |
458 | ||
459 | switch(index){ | |
460 | case kCutClusterTPC: | |
461 | fhNBinsClusterTPC=nbins; | |
462 | fhBinLimClusterTPC=new Double_t[nbins+1]; | |
463 | for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTPC[i]=bins[i]; | |
464 | break; | |
465 | ||
466 | case kCutClusterITS: | |
467 | fhNBinsClusterITS=nbins; | |
468 | fhBinLimClusterITS=new Double_t[nbins+1]; | |
469 | for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterITS[i]=bins[i]; | |
470 | break; | |
471 | ||
472 | case kCutChi2TPC: | |
473 | fhNBinsChi2TPC=nbins; | |
474 | fhBinLimChi2TPC=new Double_t[nbins+1]; | |
475 | for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TPC[i]=bins[i]; | |
476 | break; | |
477 | ||
478 | case kCutChi2ITS: | |
479 | fhNBinsChi2ITS=nbins; | |
480 | fhBinLimChi2ITS=new Double_t[nbins+1]; | |
481 | for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2ITS[i]=bins[i]; | |
482 | break; | |
483 | ||
484 | case kCutRefitTPC: | |
485 | fhNBinsRefitTPC=nbins; | |
486 | fhBinLimRefitTPC=new Double_t[nbins+1]; | |
487 | for(Int_t i=0;i<nbins+1;i++)fhBinLimRefitTPC[i]=bins[i]; | |
488 | break; | |
489 | ||
490 | case kCutRefitITS: | |
491 | fhNBinsRefitITS=nbins; | |
492 | fhBinLimRefitITS=new Double_t[nbins+1]; | |
493 | for(Int_t i=0;i<nbins+1;i++)fhBinLimRefitITS[i]=bins[i]; | |
494 | break; | |
495 | ||
496 | case kCutCovElement11: | |
497 | fhNBinsCovariance11=nbins; | |
498 | fhBinLimCovariance11=new Double_t[nbins+1]; | |
499 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance11[i]=bins[i]; | |
500 | break; | |
501 | ||
502 | case kCutCovElement22: | |
503 | fhNBinsCovariance22=nbins; | |
504 | fhBinLimCovariance22=new Double_t[nbins+1]; | |
505 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance22[i]=bins[i]; | |
506 | break; | |
507 | ||
508 | case kCutCovElement33: | |
509 | fhNBinsCovariance33=nbins; | |
510 | fhBinLimCovariance33=new Double_t[nbins+1]; | |
511 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance33[i]=bins[i]; | |
512 | break; | |
513 | ||
514 | case kCutCovElement44: | |
515 | fhNBinsCovariance44=nbins; | |
516 | fhBinLimCovariance44=new Double_t[nbins+1]; | |
517 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance44[i]=bins[i]; | |
518 | break; | |
519 | ||
520 | case kCutCovElement55: | |
521 | fhNBinsCovariance55=nbins; | |
522 | fhBinLimCovariance55=new Double_t[nbins+1]; | |
523 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance55[i]=bins[i]; | |
524 | break; | |
525 | } | |
526 | } | |
527 | //__________________________________________________________________________________ | |
528 | void AliCFTrackQualityCuts::SetHistogramBins(Int_t index, Int_t nbins, Double_t xmin, Double_t xmax) | |
529 | { | |
530 | // | |
531 | // fixed bin size | |
532 | // | |
533 | if(!fIsQAOn) return; | |
534 | ||
535 | switch(index){ | |
536 | case kCutClusterTPC: | |
537 | fhNBinsClusterTPC=nbins; | |
538 | fhBinLimClusterTPC=new Double_t[nbins+1]; | |
539 | for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
540 | break; | |
541 | ||
542 | case kCutClusterITS: | |
543 | fhNBinsClusterITS=nbins; | |
544 | fhBinLimClusterITS=new Double_t[nbins+1]; | |
545 | for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterITS[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
546 | break; | |
547 | ||
548 | case kCutChi2TPC: | |
549 | fhNBinsChi2TPC=nbins; | |
550 | fhBinLimChi2TPC=new Double_t[nbins+1]; | |
551 | for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
552 | break; | |
553 | ||
554 | case kCutChi2ITS: | |
555 | fhNBinsChi2ITS=nbins; | |
556 | fhBinLimChi2ITS=new Double_t[nbins+1]; | |
557 | for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2ITS[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
558 | break; | |
559 | ||
560 | case kCutRefitTPC: | |
561 | fhNBinsRefitTPC=nbins; | |
562 | fhBinLimRefitTPC=new Double_t[nbins+1]; | |
563 | for(Int_t i=0;i<nbins+1;i++)fhBinLimRefitTPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
564 | break; | |
565 | ||
566 | case kCutRefitITS: | |
567 | fhNBinsRefitITS=nbins; | |
568 | fhBinLimRefitITS=new Double_t[nbins+1]; | |
569 | for(Int_t i=0;i<nbins+1;i++)fhBinLimRefitITS[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
570 | break; | |
571 | ||
572 | case kCutCovElement11: | |
573 | fhNBinsCovariance11=nbins; | |
574 | fhBinLimCovariance11=new Double_t[nbins+1]; | |
575 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance11[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
576 | break; | |
577 | ||
578 | case kCutCovElement22: | |
579 | fhNBinsCovariance22=nbins; | |
580 | fhBinLimCovariance22=new Double_t[nbins+1]; | |
581 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance22[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
582 | break; | |
583 | ||
584 | case kCutCovElement33: | |
585 | fhNBinsCovariance33=nbins; | |
586 | fhBinLimCovariance33=new Double_t[nbins+1]; | |
587 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance33[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
588 | break; | |
589 | ||
590 | case kCutCovElement44: | |
591 | fhNBinsCovariance44=nbins; | |
592 | fhBinLimCovariance44=new Double_t[nbins+1]; | |
593 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance44[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
594 | break; | |
595 | ||
596 | case kCutCovElement55: | |
597 | fhNBinsCovariance55=nbins; | |
598 | fhBinLimCovariance55=new Double_t[nbins+1]; | |
599 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance55[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
600 | break; | |
601 | } | |
602 | } | |
603 | //__________________________________________________________________________________ | |
604 | void AliCFTrackQualityCuts::DefineHistograms() { | |
605 | // | |
606 | // histograms for cut variables, cut statistics and cut correlations | |
607 | // | |
608 | ||
609 | Int_t color = 2; | |
610 | ||
611 | // book cut statistics and cut correlation histograms | |
612 | fhCutStatistics = new TH1F(Form("%s_cut_statistics",GetName()), Form("%s cut statistics",GetName()), kNCuts,0.5,kNCuts+0.5); | |
613 | fhCutStatistics->SetLineWidth(2); | |
614 | fhCutStatistics->GetXaxis()->SetBinLabel(1,"nClustersTPC"); | |
615 | fhCutStatistics->GetXaxis()->SetBinLabel(2,"nClustersITS"); | |
616 | fhCutStatistics->GetXaxis()->SetBinLabel(3,"chi2PerClusterTPC"); | |
617 | fhCutStatistics->GetXaxis()->SetBinLabel(4,"chi2PerClusterITS"); | |
618 | fhCutStatistics->GetXaxis()->SetBinLabel(5,"refitTPC"); | |
619 | fhCutStatistics->GetXaxis()->SetBinLabel(6,"refitITS"); | |
620 | fhCutStatistics->GetXaxis()->SetBinLabel(7,"covElement11"); | |
621 | fhCutStatistics->GetXaxis()->SetBinLabel(8,"covElement22"); | |
622 | fhCutStatistics->GetXaxis()->SetBinLabel(9,"covElement33"); | |
623 | fhCutStatistics->GetXaxis()->SetBinLabel(10,"covElement44"); | |
624 | fhCutStatistics->GetXaxis()->SetBinLabel(11,"covElement55"); | |
625 | ||
626 | fhCutCorrelation = new TH2F(Form("%s_cut_correlation",GetName()), Form("%s cut correlation",GetName()), kNCuts,0.5,kNCuts+0.5,kNCuts,0.5,kNCuts+0.5); | |
627 | fhCutCorrelation->SetLineWidth(2); | |
628 | fhCutCorrelation->GetXaxis()->SetBinLabel(1,"nClustersTPC"); | |
629 | fhCutCorrelation->GetXaxis()->SetBinLabel(2,"nClustersITS"); | |
630 | fhCutCorrelation->GetXaxis()->SetBinLabel(3,"chi2PerClusterTPC"); | |
631 | fhCutCorrelation->GetXaxis()->SetBinLabel(4,"chi2PerClusterITS"); | |
632 | fhCutCorrelation->GetXaxis()->SetBinLabel(5,"refitTPC"); | |
633 | fhCutCorrelation->GetXaxis()->SetBinLabel(6,"refitITS"); | |
634 | fhCutCorrelation->GetXaxis()->SetBinLabel(7,"covElement11"); | |
635 | fhCutCorrelation->GetXaxis()->SetBinLabel(8,"covElement22"); | |
636 | fhCutCorrelation->GetXaxis()->SetBinLabel(9,"covElement33"); | |
637 | fhCutCorrelation->GetXaxis()->SetBinLabel(10,"covElement44"); | |
638 | fhCutCorrelation->GetXaxis()->SetBinLabel(11,"covElement55"); | |
639 | ||
640 | fhCutCorrelation->GetYaxis()->SetBinLabel(1,"nClustersTPC"); | |
641 | fhCutCorrelation->GetYaxis()->SetBinLabel(2,"nClustersITS"); | |
642 | fhCutCorrelation->GetYaxis()->SetBinLabel(3,"chi2PerClusterTPC"); | |
643 | fhCutCorrelation->GetYaxis()->SetBinLabel(4,"chi2PerClusterITS"); | |
644 | fhCutCorrelation->GetYaxis()->SetBinLabel(5,"refitTPC"); | |
645 | fhCutCorrelation->GetYaxis()->SetBinLabel(6,"refitITS"); | |
646 | fhCutCorrelation->GetYaxis()->SetBinLabel(7,"covElement11"); | |
647 | fhCutCorrelation->GetYaxis()->SetBinLabel(8,"covElement22"); | |
648 | fhCutCorrelation->GetYaxis()->SetBinLabel(9,"covElement33"); | |
649 | fhCutCorrelation->GetYaxis()->SetBinLabel(10,"covElement44"); | |
650 | fhCutCorrelation->GetYaxis()->SetBinLabel(11,"covElement55"); | |
651 | ||
652 | ||
653 | // book QA histograms | |
654 | Char_t str[256]; | |
655 | for (Int_t i=0; i<kNStepQA; i++) { | |
656 | if (i==0) sprintf(str," "); | |
657 | else sprintf(str,"_cut"); | |
658 | ||
659 | fhQA[kCutClusterTPC][i] = new TH1F(Form("%s_nClustersTPC%s",GetName(),str) ,"",fhNBinsClusterTPC,fhBinLimClusterTPC); | |
660 | fhQA[kCutClusterITS][i] = new TH1F(Form("%s_nClustersITS%s",GetName(),str) ,"",fhNBinsClusterITS,fhBinLimClusterITS); | |
661 | fhQA[kCutChi2TPC][i] = new TH1F(Form("%s_chi2PerClusterTPC%s",GetName(),str),"",fhNBinsChi2TPC,fhBinLimChi2TPC); | |
662 | fhQA[kCutChi2ITS][i] = new TH1F(Form("%s_chi2PerClusterITS%s",GetName(),str),"",fhNBinsChi2ITS,fhBinLimChi2ITS); | |
663 | fhQA[kCutRefitTPC][i] = new TH1F(Form("%s_refitTPC%s",GetName(),str) ,"",fhNBinsRefitTPC,fhBinLimRefitTPC); | |
664 | fhQA[kCutRefitITS][i] = new TH1F(Form("%s_refitITS%s",GetName(),str) ,"",fhNBinsRefitITS,fhBinLimRefitITS); | |
665 | fhQA[kCutCovElement11][i] = new TH1F(Form("%s_covMatrixDiagonal11%s",GetName(),str),"",fhNBinsCovariance11,fhBinLimCovariance11); | |
666 | fhQA[kCutCovElement22][i] = new TH1F(Form("%s_covMatrixDiagonal22%s",GetName(),str),"",fhNBinsCovariance22,fhBinLimCovariance22); | |
667 | fhQA[kCutCovElement33][i] = new TH1F(Form("%s_covMatrixDiagonal33%s",GetName(),str),"",fhNBinsCovariance33,fhBinLimCovariance33); | |
668 | fhQA[kCutCovElement44][i] = new TH1F(Form("%s_covMatrixDiagonal44%s",GetName(),str),"",fhNBinsCovariance44,fhBinLimCovariance44); | |
669 | fhQA[kCutCovElement55][i] = new TH1F(Form("%s_covMatrixDiagonal55%s",GetName(),str),"",fhNBinsCovariance55,fhBinLimCovariance55); | |
670 | ||
671 | fhQA[kCutClusterTPC][i] ->SetXTitle("n TPC clusters"); | |
672 | fhQA[kCutClusterITS][i] ->SetXTitle("n ITS clusters"); | |
673 | fhQA[kCutChi2TPC][i] ->SetXTitle("#chi^{2} per TPC cluster"); | |
674 | fhQA[kCutChi2ITS][i] ->SetXTitle("#chi^{2} per ITS cluster"); | |
675 | fhQA[kCutRefitTPC][i] ->SetXTitle("refit TPC"); | |
676 | fhQA[kCutRefitITS][i] ->SetXTitle("refit ITS"); | |
677 | fhQA[kCutCovElement11][i] ->SetXTitle("cov 11 : #sigma_{y}^{2} (cm^{2})"); | |
678 | fhQA[kCutCovElement22][i] ->SetXTitle("cov 22 : #sigma_{z}^{2} (cm^{2})"); | |
679 | fhQA[kCutCovElement33][i] ->SetXTitle("cov 33 : #sigma_{sin(#phi)}^{2}"); | |
680 | fhQA[kCutCovElement44][i] ->SetXTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}"); | |
681 | fhQA[kCutCovElement55][i] ->SetXTitle("cov 55 : #sigma_{1/p_{T}}^{2} ((c/GeV)^2)"); | |
682 | } | |
683 | ||
684 | for(Int_t i=0; i<kNHist; i++) fhQA[i][1]->SetLineColor(color); | |
685 | ||
686 | } | |
687 | //__________________________________________________________________________________ | |
688 | void AliCFTrackQualityCuts::FillHistograms(TObject* obj, Bool_t b) | |
689 | { | |
690 | // | |
691 | // fill the QA histograms | |
692 | // | |
693 | if(!fIsQAOn) return; | |
694 | ||
695 | // cast TObject into ESDtrack | |
696 | AliESDtrack* esdTrack = dynamic_cast<AliESDtrack *>(obj); | |
697 | if ( !esdTrack ) return; | |
698 | ||
699 | // index = 0: fill histograms before cuts | |
700 | // index = 1: fill histograms after cuts | |
701 | Int_t index = -1; | |
702 | index = ((b) ? 1 : 0); | |
703 | ||
704 | Int_t fIdxInt[200]; | |
705 | Int_t nClustersTPC = esdTrack->GetTPCclusters(fIdxInt); | |
706 | fhQA[kCutClusterTPC][index]->Fill((float)nClustersTPC); | |
707 | Float_t chi2PerClusterTPC = -1.; | |
708 | if (nClustersTPC!=0) | |
709 | chi2PerClusterTPC = esdTrack->GetTPCchi2()/((float)nClustersTPC); | |
710 | fhQA[kCutChi2TPC][index]->Fill(chi2PerClusterTPC); | |
711 | ||
712 | Int_t nClustersITS = esdTrack->GetITSclusters(fIdxInt); | |
713 | fhQA[kCutClusterITS][index]->Fill((float)nClustersITS); | |
714 | Float_t chi2PerClusterITS = -1.; | |
715 | if (nClustersITS!=0) | |
716 | chi2PerClusterITS = esdTrack->GetITSchi2()/((float)nClustersITS); | |
717 | fhQA[kCutChi2ITS][index]->Fill(chi2PerClusterITS); | |
718 | ||
719 | ||
720 | if ((esdTrack->GetStatus()&AliESDtrack::kTPCrefit)==0) | |
721 | fhQA[kCutRefitTPC][index]->Fill(0.); | |
722 | if (!((esdTrack->GetStatus()&AliESDtrack::kTPCrefit)==0)) | |
723 | fhQA[kCutRefitTPC][index]->Fill(1.); | |
724 | ||
725 | if ((esdTrack->GetStatus()&AliESDtrack::kITSrefit)==0) | |
726 | fhQA[kCutRefitITS][index]->Fill(0.); | |
727 | if (!((esdTrack->GetStatus()&AliESDtrack::kITSrefit)==0)) | |
728 | fhQA[kCutRefitITS][index]->Fill(1.); | |
729 | ||
730 | ||
731 | Double_t extCov[15]; | |
732 | esdTrack->GetExternalCovariance(extCov); | |
733 | ||
734 | fhQA[kCutCovElement11][index]->Fill(extCov[0]); | |
735 | fhQA[kCutCovElement22][index]->Fill(extCov[2]); | |
736 | fhQA[kCutCovElement33][index]->Fill(extCov[5]); | |
737 | fhQA[kCutCovElement44][index]->Fill(extCov[9]); | |
738 | fhQA[kCutCovElement55][index]->Fill(extCov[14]); | |
739 | ||
740 | // fill cut statistics and cut correlation histograms with information from the bitmap | |
741 | if (b) return; | |
742 | ||
743 | // Get the bitmap of the single cuts | |
744 | if ( !obj ) return; | |
745 | TBits* bitmap = SelectionBitMap(obj); | |
746 | ||
747 | // Number of single cuts in this class | |
748 | UInt_t ncuts = bitmap->GetNbits(); | |
749 | for(UInt_t bit=0; bit<ncuts;bit++) { | |
750 | if (!bitmap->TestBitNumber(bit)) { | |
751 | fhCutStatistics->Fill(bit+1); | |
752 | for (UInt_t bit2=bit; bit2<ncuts;bit2++) { | |
753 | if (!bitmap->TestBitNumber(bit2)) | |
754 | fhCutCorrelation->Fill(bit+1,bit2+1); | |
755 | } | |
756 | } | |
757 | } | |
758 | } | |
759 | //__________________________________________________________________________________ | |
760 | void AliCFTrackQualityCuts::SaveHistograms(const Char_t* dir) { | |
761 | // | |
762 | // saves the histograms in a directory (dir) | |
763 | // | |
764 | if(!fIsQAOn) return; | |
765 | ||
766 | if (!dir) | |
767 | dir = GetName(); | |
768 | ||
769 | gDirectory->mkdir(dir); | |
770 | gDirectory->cd(dir); | |
771 | ||
772 | gDirectory->mkdir("before_cuts"); | |
773 | gDirectory->mkdir("after_cuts"); | |
774 | ||
775 | fhCutStatistics->Write(); | |
776 | fhCutCorrelation->Write(); | |
777 | ||
778 | for (Int_t j=0; j<kNStepQA; j++) { | |
779 | if (j==0) | |
780 | gDirectory->cd("before_cuts"); | |
781 | else | |
782 | gDirectory->cd("after_cuts"); | |
783 | ||
784 | for(Int_t i=0; i<kNHist; i++) fhQA[i][j]->Write(); | |
785 | ||
786 | gDirectory->cd("../"); | |
787 | } | |
788 | gDirectory->cd("../"); | |
789 | } | |
790 | //__________________________________________________________________________________ | |
791 | void AliCFTrackQualityCuts::DrawHistograms(Bool_t drawLogScale) | |
792 | { | |
793 | // | |
794 | // draws some histograms | |
795 | // | |
796 | if(!fIsQAOn) return; | |
797 | ||
798 | // pad margins | |
799 | Float_t right = 0.03; | |
800 | Float_t left = 0.175; | |
801 | Float_t top = 0.03; | |
802 | Float_t bottom = 0.175; | |
803 | ||
804 | TCanvas* canvas1 = new TCanvas("Track_QA_Quality_1", "Track QA Quality 1", 800, 500); | |
805 | canvas1->Divide(2, 1); | |
806 | ||
807 | canvas1->cd(1); | |
808 | fhCutStatistics->SetStats(kFALSE); | |
809 | fhCutStatistics->LabelsOption("v"); | |
810 | gPad->SetLeftMargin(left); | |
811 | gPad->SetBottomMargin(0.25); | |
812 | gPad->SetRightMargin(right); | |
813 | gPad->SetTopMargin(0.1); | |
814 | fhCutStatistics->Draw(); | |
815 | ||
816 | canvas1->cd(2); | |
817 | fhCutCorrelation->SetStats(kFALSE); | |
818 | fhCutCorrelation->LabelsOption("v"); | |
819 | gPad->SetLeftMargin(0.30); | |
820 | gPad->SetRightMargin(bottom); | |
821 | gPad->SetTopMargin(0.1); | |
822 | gPad->SetBottomMargin(0.25); | |
823 | fhCutCorrelation->Draw("COLZ"); | |
824 | ||
825 | canvas1->SaveAs(Form("%s.eps", canvas1->GetName())); | |
826 | canvas1->SaveAs(Form("%s.ps", canvas1->GetName())); | |
827 | ||
828 | // ----- | |
829 | ||
830 | TCanvas* canvas2 = new TCanvas("Track_QA_Quality_2", "Track QA Quality 2", 1200, 800); | |
831 | canvas2->Divide(3, 2); | |
832 | ||
833 | canvas2->cd(1); | |
834 | gPad->SetRightMargin(right); | |
835 | gPad->SetLeftMargin(left); | |
836 | gPad->SetTopMargin(top); | |
837 | gPad->SetBottomMargin(bottom); | |
838 | fhQA[kCutClusterTPC][0]->SetStats(kFALSE); | |
839 | fhQA[kCutClusterTPC][0]->Draw(); | |
840 | fhQA[kCutClusterTPC][1]->Draw("same"); | |
841 | ||
842 | canvas2->cd(2); | |
843 | gPad->SetRightMargin(right); | |
844 | gPad->SetLeftMargin(left); | |
845 | gPad->SetTopMargin(top); | |
846 | gPad->SetBottomMargin(bottom); | |
847 | fhQA[kCutChi2TPC][0]->SetStats(kFALSE); | |
848 | fhQA[kCutChi2TPC][0]->Draw(); | |
849 | fhQA[kCutChi2TPC][1]->Draw("same"); | |
850 | ||
851 | canvas2->cd(3); | |
852 | gPad->SetRightMargin(right); | |
853 | gPad->SetLeftMargin(left); | |
854 | gPad->SetTopMargin(top); | |
855 | gPad->SetBottomMargin(bottom); | |
856 | // fhQA[kCutRefitTPC][0]->SetStats(kFALSE); | |
857 | fhQA[kCutRefitTPC][0]->Draw(); | |
858 | fhQA[kCutRefitTPC][1]->Draw("same"); | |
859 | ||
860 | canvas2->cd(4); | |
861 | gPad->SetRightMargin(right); | |
862 | gPad->SetLeftMargin(left); | |
863 | gPad->SetTopMargin(top); | |
864 | gPad->SetBottomMargin(bottom); | |
865 | fhQA[kCutClusterITS][0]->SetStats(kFALSE); | |
866 | fhQA[kCutClusterITS][0]->Draw(); | |
867 | fhQA[kCutClusterITS][1]->Draw("same"); | |
868 | ||
869 | canvas2->cd(5); | |
870 | gPad->SetRightMargin(right); | |
871 | gPad->SetLeftMargin(left); | |
872 | gPad->SetTopMargin(top); | |
873 | gPad->SetBottomMargin(bottom); | |
874 | fhQA[kCutChi2ITS][0]->SetStats(kFALSE); | |
875 | fhQA[kCutChi2ITS][0]->Draw(); | |
876 | fhQA[kCutChi2ITS][1]->Draw("same"); | |
877 | ||
878 | canvas2->cd(6); | |
879 | gPad->SetRightMargin(right); | |
880 | gPad->SetLeftMargin(left); | |
881 | gPad->SetTopMargin(top); | |
882 | gPad->SetBottomMargin(bottom); | |
883 | // fhQA[kCutRefitITS][0]->SetStats(kFALSE); | |
884 | fhQA[kCutRefitITS][0]->Draw(); | |
885 | fhQA[kCutRefitITS][1]->Draw("same"); | |
886 | ||
887 | canvas2->SaveAs(Form("%s.eps", canvas2->GetName())); | |
888 | canvas2->SaveAs(Form("%s.ps", canvas2->GetName())); | |
889 | ||
890 | // ----- | |
891 | ||
892 | TCanvas* canvas3 = new TCanvas("Track_QA_Quality_3", "Track QA Quality 3", 1200, 800); | |
893 | canvas3->Divide(3, 2); | |
894 | ||
895 | canvas3->cd(1); | |
896 | if(drawLogScale) gPad->SetLogy(); | |
897 | gPad->SetRightMargin(right); | |
898 | gPad->SetLeftMargin(left); | |
899 | gPad->SetTopMargin(top); | |
900 | gPad->SetBottomMargin(bottom); | |
901 | fhQA[kCutCovElement11][0]->SetStats(kFALSE); | |
902 | fhQA[kCutCovElement11][0]->Draw(); | |
903 | fhQA[kCutCovElement11][1]->Draw("same"); | |
904 | ||
905 | canvas3->cd(2); | |
906 | if(drawLogScale) gPad->SetLogy(); | |
907 | gPad->SetRightMargin(right); | |
908 | gPad->SetLeftMargin(left); | |
909 | gPad->SetTopMargin(top); | |
910 | gPad->SetBottomMargin(bottom); | |
911 | fhQA[kCutCovElement22][0]->SetStats(kFALSE); | |
912 | fhQA[kCutCovElement22][0]->Draw(); | |
913 | fhQA[kCutCovElement22][1]->Draw("same"); | |
914 | ||
915 | canvas3->cd(3); | |
916 | if(drawLogScale) gPad->SetLogy(); | |
917 | gPad->SetRightMargin(right); | |
918 | gPad->SetLeftMargin(left); | |
919 | gPad->SetTopMargin(top); | |
920 | gPad->SetBottomMargin(bottom); | |
921 | fhQA[kCutCovElement33][0]->SetStats(kFALSE); | |
922 | fhQA[kCutCovElement33][0]->Draw(); | |
923 | fhQA[kCutCovElement33][1]->Draw("same"); | |
924 | ||
925 | canvas3->cd(4); | |
926 | if(drawLogScale) gPad->SetLogy(); | |
927 | gPad->SetRightMargin(right); | |
928 | gPad->SetLeftMargin(left); | |
929 | gPad->SetTopMargin(top); | |
930 | gPad->SetBottomMargin(bottom); | |
931 | fhQA[kCutCovElement44][0]->SetStats(kFALSE); | |
932 | fhQA[kCutCovElement44][0]->Draw(); | |
933 | fhQA[kCutCovElement44][1]->Draw("same"); | |
934 | ||
935 | canvas3->cd(5); | |
936 | if(drawLogScale) gPad->SetLogy(); | |
937 | gPad->SetRightMargin(right); | |
938 | gPad->SetLeftMargin(left); | |
939 | gPad->SetTopMargin(top); | |
940 | gPad->SetBottomMargin(bottom); | |
941 | fhQA[kCutCovElement55][0]->SetStats(kFALSE); | |
942 | fhQA[kCutCovElement55][0]->Draw(); | |
943 | fhQA[kCutCovElement55][1]->Draw("same"); | |
944 | ||
945 | canvas3->SaveAs(Form("%s.eps", canvas3->GetName())); | |
946 | canvas3->SaveAs(Form("%s.ps", canvas3->GetName())); | |
947 | } | |
948 | //__________________________________________________________________________________ | |
949 | void AliCFTrackQualityCuts::AddQAHistograms(TList *qaList) const { | |
950 | // | |
951 | // saves the histograms in a TList | |
952 | // | |
953 | if(!fIsQAOn) return; | |
954 | ||
955 | qaList->Add(fhCutStatistics); | |
956 | qaList->Add(fhCutCorrelation); | |
957 | ||
958 | for (Int_t j=0; j<kNStepQA; j++) { | |
959 | for(Int_t i=0; i<kNHist; i++) | |
960 | qaList->Add(fhQA[i][j]); | |
961 | } | |
962 | } |