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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 <TH2.h> | |
46 | #include <TBits.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 | Initialise(); | |
98 | } | |
99 | //__________________________________________________________________________________ | |
100 | AliCFTrackQualityCuts::AliCFTrackQualityCuts(Char_t* name, Char_t* title) : | |
101 | AliCFCutBase(name,title), | |
102 | fMinNClusterTPC(0), | |
103 | fMinNClusterITS(0), | |
104 | fMaxChi2PerClusterTPC(0), | |
105 | fMaxChi2PerClusterITS(0), | |
106 | fRequireTPCRefit(0), | |
107 | fRequireITSRefit(0), | |
108 | fCovariance11Max(0), | |
109 | fCovariance22Max(0), | |
110 | fCovariance33Max(0), | |
111 | fCovariance44Max(0), | |
112 | fCovariance55Max(0), | |
113 | fhCutStatistics(0), | |
114 | fhCutCorrelation(0), | |
115 | fBitmap(0x0), | |
116 | fhNBinsClusterTPC(0), | |
117 | fhNBinsClusterITS(0), | |
118 | fhNBinsChi2TPC(0), | |
119 | fhNBinsChi2ITS(0), | |
120 | fhNBinsRefitTPC(0), | |
121 | fhNBinsRefitITS(0), | |
122 | fhNBinsCovariance11(0), | |
123 | fhNBinsCovariance22(0), | |
124 | fhNBinsCovariance33(0), | |
125 | fhNBinsCovariance44(0), | |
126 | fhNBinsCovariance55(0), | |
127 | fhBinLimClusterTPC(0x0), | |
128 | fhBinLimClusterITS(0x0), | |
129 | fhBinLimChi2TPC(0x0), | |
130 | fhBinLimChi2ITS(0x0), | |
131 | fhBinLimRefitTPC(0x0), | |
132 | fhBinLimRefitITS(0x0), | |
133 | fhBinLimCovariance11(0x0), | |
134 | fhBinLimCovariance22(0x0), | |
135 | fhBinLimCovariance33(0x0), | |
136 | fhBinLimCovariance44(0x0), | |
137 | fhBinLimCovariance55(0x0) | |
138 | { | |
139 | // | |
140 | // Constructor | |
141 | // | |
142 | Initialise(); | |
143 | } | |
144 | //__________________________________________________________________________________ | |
145 | AliCFTrackQualityCuts::AliCFTrackQualityCuts(const AliCFTrackQualityCuts& c) : | |
146 | AliCFCutBase(c), | |
147 | fMinNClusterTPC(c.fMinNClusterTPC), | |
148 | fMinNClusterITS(c.fMinNClusterITS), | |
149 | fMaxChi2PerClusterTPC(c.fMaxChi2PerClusterTPC), | |
150 | fMaxChi2PerClusterITS(c.fMaxChi2PerClusterITS), | |
151 | fRequireTPCRefit(c.fRequireTPCRefit), | |
152 | fRequireITSRefit(c.fRequireITSRefit), | |
153 | fCovariance11Max(c.fCovariance11Max), | |
154 | fCovariance22Max(c.fCovariance22Max), | |
155 | fCovariance33Max(c.fCovariance33Max), | |
156 | fCovariance44Max(c.fCovariance44Max), | |
157 | fCovariance55Max(c.fCovariance55Max), | |
158 | fhCutStatistics(c.fhCutStatistics), | |
159 | fhCutCorrelation(c.fhCutCorrelation), | |
160 | fBitmap(c.fBitmap), | |
161 | fhNBinsClusterTPC(c.fhNBinsClusterTPC), | |
162 | fhNBinsClusterITS(c.fhNBinsClusterITS), | |
163 | fhNBinsChi2TPC(c.fhNBinsChi2TPC), | |
164 | fhNBinsChi2ITS(c.fhNBinsChi2ITS), | |
165 | fhNBinsRefitTPC(c.fhNBinsRefitTPC), | |
166 | fhNBinsRefitITS(c.fhNBinsRefitITS), | |
167 | fhNBinsCovariance11(c.fhNBinsCovariance11), | |
168 | fhNBinsCovariance22(c.fhNBinsCovariance22), | |
169 | fhNBinsCovariance33(c.fhNBinsCovariance33), | |
170 | fhNBinsCovariance44(c.fhNBinsCovariance44), | |
171 | fhNBinsCovariance55(c.fhNBinsCovariance55), | |
172 | fhBinLimClusterTPC(c.fhBinLimClusterTPC), | |
173 | fhBinLimClusterITS(c.fhBinLimClusterITS), | |
174 | fhBinLimChi2TPC(c.fhBinLimChi2TPC), | |
175 | fhBinLimChi2ITS(c.fhBinLimChi2ITS), | |
176 | fhBinLimRefitTPC(c.fhBinLimRefitTPC), | |
177 | fhBinLimRefitITS(c.fhBinLimRefitITS), | |
178 | fhBinLimCovariance11(c.fhBinLimCovariance11), | |
179 | fhBinLimCovariance22(c.fhBinLimCovariance22), | |
180 | fhBinLimCovariance33(c.fhBinLimCovariance33), | |
181 | fhBinLimCovariance44(c.fhBinLimCovariance44), | |
182 | fhBinLimCovariance55(c.fhBinLimCovariance55) | |
183 | { | |
184 | // | |
185 | // copy constructor | |
186 | // | |
187 | ((AliCFTrackQualityCuts &) c).Copy(*this); | |
188 | } | |
189 | //__________________________________________________________________________________ | |
190 | AliCFTrackQualityCuts& AliCFTrackQualityCuts::operator=(const AliCFTrackQualityCuts& c) | |
191 | { | |
192 | // | |
193 | // Assignment operator | |
194 | // | |
195 | if (this != &c) { | |
196 | AliCFCutBase::operator=(c) ; | |
197 | fMinNClusterTPC = c.fMinNClusterTPC ; | |
198 | fMinNClusterITS = c.fMinNClusterITS ; | |
199 | fMaxChi2PerClusterTPC = c.fMaxChi2PerClusterTPC ; | |
200 | fMaxChi2PerClusterITS = c.fMaxChi2PerClusterITS ; | |
201 | fRequireTPCRefit = c.fRequireTPCRefit ; | |
202 | fRequireITSRefit = c.fRequireITSRefit ; | |
203 | fCovariance11Max = c.fCovariance11Max ; | |
204 | fCovariance22Max = c.fCovariance22Max ; | |
205 | fCovariance33Max = c.fCovariance33Max ; | |
206 | fCovariance44Max = c.fCovariance44Max ; | |
207 | fCovariance55Max = c.fCovariance55Max ; | |
208 | fhCutStatistics = c.fhCutStatistics ; | |
209 | fhCutCorrelation = c.fhCutCorrelation ; | |
210 | fBitmap = c.fBitmap ; | |
211 | fhNBinsClusterTPC = c.fhNBinsClusterTPC ; | |
212 | fhNBinsClusterITS = c.fhNBinsClusterITS ; | |
213 | fhNBinsChi2TPC = c.fhNBinsChi2TPC ; | |
214 | fhNBinsChi2ITS = c.fhNBinsChi2ITS ; | |
215 | fhNBinsRefitTPC = c.fhNBinsRefitTPC ; | |
216 | fhNBinsRefitITS = c.fhNBinsRefitITS ; | |
217 | fhNBinsCovariance11 = c.fhNBinsCovariance11 ; | |
218 | fhNBinsCovariance22 = c.fhNBinsCovariance22 ; | |
219 | fhNBinsCovariance33 = c.fhNBinsCovariance33 ; | |
220 | fhNBinsCovariance44 = c.fhNBinsCovariance44 ; | |
221 | fhNBinsCovariance55 = c.fhNBinsCovariance55 ; | |
222 | fhBinLimClusterTPC = c.fhBinLimClusterTPC ; | |
223 | fhBinLimClusterITS = c.fhBinLimClusterITS ; | |
224 | fhBinLimChi2TPC = c.fhBinLimChi2TPC ; | |
225 | fhBinLimChi2ITS = c.fhBinLimChi2ITS ; | |
226 | fhBinLimRefitTPC = c.fhBinLimRefitTPC ; | |
227 | fhBinLimRefitITS = c.fhBinLimRefitITS ; | |
228 | fhBinLimCovariance11 = c.fhBinLimCovariance11 ; | |
229 | fhBinLimCovariance22 = c.fhBinLimCovariance22 ; | |
230 | fhBinLimCovariance33 = c.fhBinLimCovariance33 ; | |
231 | fhBinLimCovariance44 = c.fhBinLimCovariance44 ; | |
232 | fhBinLimCovariance55 = c.fhBinLimCovariance55 ; | |
233 | ||
234 | for (Int_t i=0; i<c.kNHist; i++){ | |
235 | for (Int_t j=0; j<c.kNStepQA; j++){ | |
236 | if(c.fhQA[i][j]) fhQA[i][j] = (TH1F*)c.fhQA[i][j]->Clone(); | |
237 | } | |
238 | } | |
239 | ((AliCFTrackQualityCuts &) c).Copy(*this); | |
240 | } | |
241 | return *this; | |
242 | } | |
243 | //__________________________________________________________________________________ | |
244 | AliCFTrackQualityCuts::~AliCFTrackQualityCuts() | |
245 | { | |
246 | // | |
247 | // destructor | |
248 | // | |
249 | if (fhCutStatistics) delete fhCutStatistics; | |
250 | if (fhCutCorrelation) delete fhCutCorrelation; | |
251 | ||
252 | for (Int_t i=0; i<kNHist; i++){ | |
253 | for (Int_t j=0; j<kNStepQA; j++){ | |
254 | if(fhQA[i][j]) delete fhQA[i][j]; | |
255 | } | |
256 | } | |
257 | if(fBitmap) delete fBitmap; | |
258 | if(fhBinLimClusterTPC) delete fhBinLimClusterTPC; | |
259 | if(fhBinLimClusterITS) delete fhBinLimClusterITS; | |
260 | if(fhBinLimChi2TPC) delete fhBinLimChi2TPC; | |
261 | if(fhBinLimChi2ITS) delete fhBinLimChi2ITS; | |
262 | if(fhBinLimRefitTPC) delete fhBinLimRefitTPC; | |
263 | if(fhBinLimRefitITS) delete fhBinLimRefitITS; | |
264 | if(fhBinLimCovariance11) delete fhBinLimCovariance11; | |
265 | if(fhBinLimCovariance22) delete fhBinLimCovariance22; | |
266 | if(fhBinLimCovariance33) delete fhBinLimCovariance33; | |
267 | if(fhBinLimCovariance44) delete fhBinLimCovariance44; | |
268 | if(fhBinLimCovariance55) delete fhBinLimCovariance55; | |
269 | } | |
270 | //__________________________________________________________________________________ | |
271 | void AliCFTrackQualityCuts::Initialise() | |
272 | { | |
273 | // | |
274 | // sets everything to zero | |
275 | // | |
276 | fMinNClusterTPC = 0; | |
277 | fMinNClusterITS = 0; | |
278 | fMaxChi2PerClusterTPC = 0; | |
279 | fMaxChi2PerClusterITS = 0; | |
280 | fRequireTPCRefit = 0; | |
281 | fRequireITSRefit = 0; | |
282 | fCovariance11Max = 0; | |
283 | fCovariance22Max = 0; | |
284 | fCovariance33Max = 0; | |
285 | fCovariance44Max = 0; | |
286 | fCovariance55Max = 0; | |
287 | ||
288 | SetMinNClusterTPC(); | |
289 | SetMinNClusterITS(); | |
290 | SetMaxChi2PerClusterTPC(); | |
291 | SetMaxChi2PerClusterITS(); | |
292 | SetRequireTPCRefit(); | |
293 | SetRequireITSRefit(); | |
294 | SetMaxCovDiagonalElements(); | |
295 | ||
296 | for (Int_t i=0; i<kNHist; i++){ | |
297 | for (Int_t j=0; j<kNStepQA; j++) | |
298 | fhQA[i][j] = 0x0; | |
299 | } | |
300 | fhCutStatistics = 0; | |
301 | fhCutCorrelation = 0; | |
302 | fBitmap=new TBits(0); | |
303 | ||
304 | //set default bining for QA histograms | |
305 | SetHistogramBins(kCutClusterTPC,165,-0.5,164.5); | |
306 | SetHistogramBins(kCutClusterITS,8,-0.5,7.5); | |
307 | SetHistogramBins(kCutChi2TPC,500,0.,10.); | |
308 | SetHistogramBins(kCutChi2ITS,500,0.,10.); | |
309 | SetHistogramBins(kCutRefitTPC,5,-0.75,1.75); | |
310 | SetHistogramBins(kCutRefitITS,5,-0.75,1.75); | |
311 | SetHistogramBins(kCutCovElement11,200,0.,20.); | |
312 | SetHistogramBins(kCutCovElement22,200,0.,20.); | |
313 | SetHistogramBins(kCutCovElement33,100,0.,1.); | |
314 | SetHistogramBins(kCutCovElement44,100,0.,5.); | |
315 | SetHistogramBins(kCutCovElement55,100,0.,5.); | |
316 | } | |
317 | //__________________________________________________________________________________ | |
318 | void AliCFTrackQualityCuts::Copy(TObject &c) const | |
319 | { | |
320 | // | |
321 | // Copy function | |
322 | // | |
323 | AliCFTrackQualityCuts& target = (AliCFTrackQualityCuts &) c; | |
324 | ||
325 | target.Initialise(); | |
326 | ||
327 | if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone(); | |
328 | if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone(); | |
329 | ||
330 | for (Int_t i=0; i<kNHist; i++){ | |
331 | for (Int_t j=0; j<kNStepQA; j++){ | |
332 | if(fhQA[i][j]) target.fhQA[i][j] = (TH1F*)fhQA[i][j]->Clone(); | |
333 | } | |
334 | } | |
335 | TNamed::Copy(c); | |
336 | } | |
337 | //__________________________________________________________________________________ | |
338 | void AliCFTrackQualityCuts::GetBitMap(TObject* obj, TBits *bitmap) { | |
339 | // | |
340 | // retrieve the pointer to the bitmap | |
341 | // | |
342 | TBits *bm = SelectionBitMap(obj); | |
343 | *bitmap = *bm; | |
344 | } | |
345 | //__________________________________________________________________________________ | |
346 | TBits* AliCFTrackQualityCuts::SelectionBitMap(TObject* obj) | |
347 | { | |
348 | // | |
349 | // test if the track passes the single cuts | |
350 | // and store the information in a bitmap | |
351 | // | |
352 | ||
353 | // bitmap stores the decision of each single cut | |
354 | for(Int_t i=0; i<kNCuts; i++)fBitmap->SetBitNumber(i,kFALSE); | |
355 | ||
356 | // cast TObject into ESDtrack | |
357 | AliESDtrack* esdTrack = dynamic_cast<AliESDtrack *>(obj); | |
358 | if ( !esdTrack ) return fBitmap ; | |
359 | ||
360 | for(Int_t i=0; i<kNCuts; i++)fBitmap->SetBitNumber(i,kTRUE); | |
361 | ||
362 | // get cut quantities | |
363 | Int_t fIdxInt[200]; | |
364 | Int_t nClustersTPC = esdTrack->GetTPCclusters(fIdxInt); | |
365 | Int_t nClustersITS = esdTrack->GetITSclusters(fIdxInt); | |
366 | ||
367 | Float_t chi2PerClusterTPC = -1; | |
368 | Float_t chi2PerClusterITS = -1; | |
369 | ||
370 | if (nClustersTPC != 0) | |
371 | chi2PerClusterTPC = esdTrack->GetTPCchi2() / Float_t(nClustersTPC); | |
372 | if (nClustersITS!=0) | |
373 | chi2PerClusterITS = esdTrack->GetITSchi2() / Float_t(nClustersITS); | |
374 | ||
375 | Double_t extCov[15]; | |
376 | esdTrack->GetExternalCovariance(extCov); | |
377 | ||
378 | // fill the bitmap | |
379 | Int_t iCutBit = 0; | |
380 | ||
381 | if (nClustersTPC < fMinNClusterTPC) | |
382 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
383 | iCutBit++; | |
384 | if (nClustersITS < fMinNClusterITS) | |
385 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
386 | iCutBit++; | |
387 | if (chi2PerClusterTPC > fMaxChi2PerClusterTPC) | |
388 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
389 | iCutBit++; | |
390 | if (chi2PerClusterITS > fMaxChi2PerClusterITS) | |
391 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
392 | iCutBit++; | |
393 | if (fRequireTPCRefit && (esdTrack->GetStatus()&AliESDtrack::kTPCrefit)==0) | |
394 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
395 | iCutBit++; | |
396 | if (fRequireITSRefit && (esdTrack->GetStatus()&AliESDtrack::kITSrefit)==0) | |
397 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
398 | iCutBit++; | |
399 | if (extCov[0] > fCovariance11Max) | |
400 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
401 | iCutBit++; | |
402 | if (extCov[2] > fCovariance22Max) | |
403 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
404 | iCutBit++; | |
405 | if (extCov[5] > fCovariance33Max) | |
406 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
407 | iCutBit++; | |
408 | if (extCov[9] > fCovariance44Max) | |
409 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
410 | iCutBit++; | |
411 | if (extCov[14] > fCovariance55Max) | |
412 | fBitmap->SetBitNumber(iCutBit,kFALSE); | |
413 | ||
414 | return fBitmap; | |
415 | } | |
416 | //__________________________________________________________________________________ | |
417 | Bool_t AliCFTrackQualityCuts::IsSelected(TObject* obj) { | |
418 | // | |
419 | // loops over decisions of single cuts and returns if the track is accepted | |
420 | // | |
421 | TBits* bitmap = SelectionBitMap(obj); | |
422 | ||
423 | Bool_t isSelected = kTRUE; | |
424 | ||
425 | for (UInt_t icut=0; icut<bitmap->GetNbits();icut++) | |
426 | if(!bitmap->TestBitNumber(icut)) isSelected = kFALSE; | |
427 | ||
428 | return isSelected; | |
429 | } | |
430 | //__________________________________________________________________________________ | |
431 | void AliCFTrackQualityCuts::Init() { | |
432 | // | |
433 | // initialises all histograms and the TList which holds the histograms | |
434 | // | |
435 | if(fIsQAOn) | |
436 | DefineHistograms(); | |
437 | } | |
438 | //__________________________________________________________________________________ | |
439 | void AliCFTrackQualityCuts::SetHistogramBins(Int_t index, Int_t nbins, Double_t *bins) | |
440 | { | |
441 | // | |
442 | // variable bin size | |
443 | // | |
444 | if(!fIsQAOn) return; | |
445 | ||
446 | switch(index){ | |
447 | case kCutClusterTPC: | |
448 | fhNBinsClusterTPC=nbins; | |
449 | fhBinLimClusterTPC=new Double_t[nbins+1]; | |
450 | for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTPC[i]=bins[i]; | |
451 | break; | |
452 | ||
453 | case kCutClusterITS: | |
454 | fhNBinsClusterITS=nbins; | |
455 | fhBinLimClusterITS=new Double_t[nbins+1]; | |
456 | for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterITS[i]=bins[i]; | |
457 | break; | |
458 | ||
459 | case kCutChi2TPC: | |
460 | fhNBinsChi2TPC=nbins; | |
461 | fhBinLimChi2TPC=new Double_t[nbins+1]; | |
462 | for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TPC[i]=bins[i]; | |
463 | break; | |
464 | ||
465 | case kCutChi2ITS: | |
466 | fhNBinsChi2ITS=nbins; | |
467 | fhBinLimChi2ITS=new Double_t[nbins+1]; | |
468 | for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2ITS[i]=bins[i]; | |
469 | break; | |
470 | ||
471 | case kCutRefitTPC: | |
472 | fhNBinsRefitTPC=nbins; | |
473 | fhBinLimRefitTPC=new Double_t[nbins+1]; | |
474 | for(Int_t i=0;i<nbins+1;i++)fhBinLimRefitTPC[i]=bins[i]; | |
475 | break; | |
476 | ||
477 | case kCutRefitITS: | |
478 | fhNBinsRefitITS=nbins; | |
479 | fhBinLimRefitITS=new Double_t[nbins+1]; | |
480 | for(Int_t i=0;i<nbins+1;i++)fhBinLimRefitITS[i]=bins[i]; | |
481 | break; | |
482 | ||
483 | case kCutCovElement11: | |
484 | fhNBinsCovariance11=nbins; | |
485 | fhBinLimCovariance11=new Double_t[nbins+1]; | |
486 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance11[i]=bins[i]; | |
487 | break; | |
488 | ||
489 | case kCutCovElement22: | |
490 | fhNBinsCovariance22=nbins; | |
491 | fhBinLimCovariance22=new Double_t[nbins+1]; | |
492 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance22[i]=bins[i]; | |
493 | break; | |
494 | ||
495 | case kCutCovElement33: | |
496 | fhNBinsCovariance33=nbins; | |
497 | fhBinLimCovariance33=new Double_t[nbins+1]; | |
498 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance33[i]=bins[i]; | |
499 | break; | |
500 | ||
501 | case kCutCovElement44: | |
502 | fhNBinsCovariance44=nbins; | |
503 | fhBinLimCovariance44=new Double_t[nbins+1]; | |
504 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance44[i]=bins[i]; | |
505 | break; | |
506 | ||
507 | case kCutCovElement55: | |
508 | fhNBinsCovariance55=nbins; | |
509 | fhBinLimCovariance55=new Double_t[nbins+1]; | |
510 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance55[i]=bins[i]; | |
511 | break; | |
512 | } | |
513 | } | |
514 | //__________________________________________________________________________________ | |
515 | void AliCFTrackQualityCuts::SetHistogramBins(Int_t index, Int_t nbins, Double_t xmin, Double_t xmax) | |
516 | { | |
517 | // | |
518 | // fixed bin size | |
519 | // | |
520 | switch(index){ | |
521 | case kCutClusterTPC: | |
522 | fhNBinsClusterTPC=nbins; | |
523 | fhBinLimClusterTPC=new Double_t[nbins+1]; | |
524 | for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
525 | break; | |
526 | ||
527 | case kCutClusterITS: | |
528 | fhNBinsClusterITS=nbins; | |
529 | fhBinLimClusterITS=new Double_t[nbins+1]; | |
530 | for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterITS[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
531 | break; | |
532 | ||
533 | case kCutChi2TPC: | |
534 | fhNBinsChi2TPC=nbins; | |
535 | fhBinLimChi2TPC=new Double_t[nbins+1]; | |
536 | for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
537 | break; | |
538 | ||
539 | case kCutChi2ITS: | |
540 | fhNBinsChi2ITS=nbins; | |
541 | fhBinLimChi2ITS=new Double_t[nbins+1]; | |
542 | for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2ITS[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
543 | break; | |
544 | ||
545 | case kCutRefitTPC: | |
546 | fhNBinsRefitTPC=nbins; | |
547 | fhBinLimRefitTPC=new Double_t[nbins+1]; | |
548 | for(Int_t i=0;i<nbins+1;i++)fhBinLimRefitTPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
549 | break; | |
550 | ||
551 | case kCutRefitITS: | |
552 | fhNBinsRefitITS=nbins; | |
553 | fhBinLimRefitITS=new Double_t[nbins+1]; | |
554 | for(Int_t i=0;i<nbins+1;i++)fhBinLimRefitITS[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
555 | break; | |
556 | ||
557 | case kCutCovElement11: | |
558 | fhNBinsCovariance11=nbins; | |
559 | fhBinLimCovariance11=new Double_t[nbins+1]; | |
560 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance11[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
561 | break; | |
562 | ||
563 | case kCutCovElement22: | |
564 | fhNBinsCovariance22=nbins; | |
565 | fhBinLimCovariance22=new Double_t[nbins+1]; | |
566 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance22[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
567 | break; | |
568 | ||
569 | case kCutCovElement33: | |
570 | fhNBinsCovariance33=nbins; | |
571 | fhBinLimCovariance33=new Double_t[nbins+1]; | |
572 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance33[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
573 | break; | |
574 | ||
575 | case kCutCovElement44: | |
576 | fhNBinsCovariance44=nbins; | |
577 | fhBinLimCovariance44=new Double_t[nbins+1]; | |
578 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance44[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
579 | break; | |
580 | ||
581 | case kCutCovElement55: | |
582 | fhNBinsCovariance55=nbins; | |
583 | fhBinLimCovariance55=new Double_t[nbins+1]; | |
584 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance55[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
585 | break; | |
586 | } | |
587 | } | |
588 | //__________________________________________________________________________________ | |
589 | void AliCFTrackQualityCuts::DefineHistograms() { | |
590 | // | |
591 | // histograms for cut variables, cut statistics and cut correlations | |
592 | // | |
593 | Int_t color = 2; | |
594 | ||
595 | // book cut statistics and cut correlation histograms | |
596 | fhCutStatistics = new TH1F(Form("%s_cut_statistics",GetName()), Form("%s cut statistics",GetName()), kNCuts,0.5,kNCuts+0.5); | |
597 | fhCutStatistics->SetLineWidth(2); | |
598 | fhCutStatistics->GetXaxis()->SetBinLabel(1,"nClustersTPC"); | |
599 | fhCutStatistics->GetXaxis()->SetBinLabel(2,"nClustersITS"); | |
600 | fhCutStatistics->GetXaxis()->SetBinLabel(3,"chi2PerClusterTPC"); | |
601 | fhCutStatistics->GetXaxis()->SetBinLabel(4,"chi2PerClusterITS"); | |
602 | fhCutStatistics->GetXaxis()->SetBinLabel(5,"refitTPC"); | |
603 | fhCutStatistics->GetXaxis()->SetBinLabel(6,"refitITS"); | |
604 | fhCutStatistics->GetXaxis()->SetBinLabel(7,"covElement11"); | |
605 | fhCutStatistics->GetXaxis()->SetBinLabel(8,"covElement22"); | |
606 | fhCutStatistics->GetXaxis()->SetBinLabel(9,"covElement33"); | |
607 | fhCutStatistics->GetXaxis()->SetBinLabel(10,"covElement44"); | |
608 | fhCutStatistics->GetXaxis()->SetBinLabel(11,"covElement55"); | |
609 | ||
610 | 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); | |
611 | fhCutCorrelation->SetLineWidth(2); | |
612 | fhCutCorrelation->GetXaxis()->SetBinLabel(1,"nClustersTPC"); | |
613 | fhCutCorrelation->GetXaxis()->SetBinLabel(2,"nClustersITS"); | |
614 | fhCutCorrelation->GetXaxis()->SetBinLabel(3,"chi2PerClusterTPC"); | |
615 | fhCutCorrelation->GetXaxis()->SetBinLabel(4,"chi2PerClusterITS"); | |
616 | fhCutCorrelation->GetXaxis()->SetBinLabel(5,"refitTPC"); | |
617 | fhCutCorrelation->GetXaxis()->SetBinLabel(6,"refitITS"); | |
618 | fhCutCorrelation->GetXaxis()->SetBinLabel(7,"covElement11"); | |
619 | fhCutCorrelation->GetXaxis()->SetBinLabel(8,"covElement22"); | |
620 | fhCutCorrelation->GetXaxis()->SetBinLabel(9,"covElement33"); | |
621 | fhCutCorrelation->GetXaxis()->SetBinLabel(10,"covElement44"); | |
622 | fhCutCorrelation->GetXaxis()->SetBinLabel(11,"covElement55"); | |
623 | ||
624 | fhCutCorrelation->GetYaxis()->SetBinLabel(1,"nClustersTPC"); | |
625 | fhCutCorrelation->GetYaxis()->SetBinLabel(2,"nClustersITS"); | |
626 | fhCutCorrelation->GetYaxis()->SetBinLabel(3,"chi2PerClusterTPC"); | |
627 | fhCutCorrelation->GetYaxis()->SetBinLabel(4,"chi2PerClusterITS"); | |
628 | fhCutCorrelation->GetYaxis()->SetBinLabel(5,"refitTPC"); | |
629 | fhCutCorrelation->GetYaxis()->SetBinLabel(6,"refitITS"); | |
630 | fhCutCorrelation->GetYaxis()->SetBinLabel(7,"covElement11"); | |
631 | fhCutCorrelation->GetYaxis()->SetBinLabel(8,"covElement22"); | |
632 | fhCutCorrelation->GetYaxis()->SetBinLabel(9,"covElement33"); | |
633 | fhCutCorrelation->GetYaxis()->SetBinLabel(10,"covElement44"); | |
634 | fhCutCorrelation->GetYaxis()->SetBinLabel(11,"covElement55"); | |
635 | ||
636 | ||
637 | // book QA histograms | |
638 | Char_t str[256]; | |
639 | for (Int_t i=0; i<kNStepQA; i++) { | |
640 | if (i==0) sprintf(str," "); | |
641 | else sprintf(str,"_cut"); | |
642 | ||
643 | fhQA[kCutClusterTPC][i] = new TH1F(Form("%s_nClustersTPC%s",GetName(),str) ,"",fhNBinsClusterTPC,fhBinLimClusterTPC); | |
644 | fhQA[kCutClusterITS][i] = new TH1F(Form("%s_nClustersITS%s",GetName(),str) ,"",fhNBinsClusterITS,fhBinLimClusterITS); | |
645 | fhQA[kCutChi2TPC][i] = new TH1F(Form("%s_chi2PerClusterTPC%s",GetName(),str),"",fhNBinsChi2TPC,fhBinLimChi2TPC); | |
646 | fhQA[kCutChi2ITS][i] = new TH1F(Form("%s_chi2PerClusterITS%s",GetName(),str),"",fhNBinsChi2ITS,fhBinLimChi2ITS); | |
647 | fhQA[kCutRefitTPC][i] = new TH1F(Form("%s_refitTPC%s",GetName(),str) ,"",fhNBinsRefitTPC,fhBinLimRefitTPC); | |
648 | fhQA[kCutRefitITS][i] = new TH1F(Form("%s_refitITS%s",GetName(),str) ,"",fhNBinsRefitITS,fhBinLimRefitITS); | |
649 | fhQA[kCutCovElement11][i] = new TH1F(Form("%s_covMatrixDiagonal11%s",GetName(),str),"",fhNBinsCovariance11,fhBinLimCovariance11); | |
650 | fhQA[kCutCovElement22][i] = new TH1F(Form("%s_covMatrixDiagonal22%s",GetName(),str),"",fhNBinsCovariance22,fhBinLimCovariance22); | |
651 | fhQA[kCutCovElement33][i] = new TH1F(Form("%s_covMatrixDiagonal33%s",GetName(),str),"",fhNBinsCovariance33,fhBinLimCovariance33); | |
652 | fhQA[kCutCovElement44][i] = new TH1F(Form("%s_covMatrixDiagonal44%s",GetName(),str),"",fhNBinsCovariance44,fhBinLimCovariance44); | |
653 | fhQA[kCutCovElement55][i] = new TH1F(Form("%s_covMatrixDiagonal55%s",GetName(),str),"",fhNBinsCovariance55,fhBinLimCovariance55); | |
654 | ||
655 | fhQA[kCutClusterTPC][i] ->SetXTitle("n TPC clusters"); | |
656 | fhQA[kCutClusterITS][i] ->SetXTitle("n ITS clusters"); | |
657 | fhQA[kCutChi2TPC][i] ->SetXTitle("#chi^{2} per TPC cluster"); | |
658 | fhQA[kCutChi2ITS][i] ->SetXTitle("#chi^{2} per ITS cluster"); | |
659 | fhQA[kCutRefitTPC][i] ->SetXTitle("refit TPC"); | |
660 | fhQA[kCutRefitITS][i] ->SetXTitle("refit ITS"); | |
661 | fhQA[kCutCovElement11][i] ->SetXTitle("cov 11 : #sigma_{y}^{2} (cm^{2})"); | |
662 | fhQA[kCutCovElement22][i] ->SetXTitle("cov 22 : #sigma_{z}^{2} (cm^{2})"); | |
663 | fhQA[kCutCovElement33][i] ->SetXTitle("cov 33 : #sigma_{sin(#phi)}^{2}"); | |
664 | fhQA[kCutCovElement44][i] ->SetXTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}"); | |
665 | fhQA[kCutCovElement55][i] ->SetXTitle("cov 55 : #sigma_{1/p_{T}}^{2} ((c/GeV)^{2})"); | |
666 | } | |
667 | ||
668 | for(Int_t i=0; i<kNHist; i++) fhQA[i][1]->SetLineColor(color); | |
669 | } | |
670 | //__________________________________________________________________________________ | |
671 | void AliCFTrackQualityCuts::FillHistograms(TObject* obj, Bool_t b) | |
672 | { | |
673 | // | |
674 | // fill the QA histograms | |
675 | // | |
676 | if(!fIsQAOn) return; | |
677 | ||
678 | // cast TObject into ESDtrack | |
679 | AliESDtrack* esdTrack = dynamic_cast<AliESDtrack *>(obj); | |
680 | if ( !esdTrack ) return; | |
681 | ||
682 | // index = 0: fill histograms before cuts | |
683 | // index = 1: fill histograms after cuts | |
684 | Int_t index = -1; | |
685 | index = ((b) ? 1 : 0); | |
686 | ||
687 | Int_t fIdxInt[200]; | |
688 | Int_t nClustersTPC = esdTrack->GetTPCclusters(fIdxInt); | |
689 | fhQA[kCutClusterTPC][index]->Fill((float)nClustersTPC); | |
690 | Float_t chi2PerClusterTPC = -1.; | |
691 | if (nClustersTPC!=0) | |
692 | chi2PerClusterTPC = esdTrack->GetTPCchi2()/((float)nClustersTPC); | |
693 | fhQA[kCutChi2TPC][index]->Fill(chi2PerClusterTPC); | |
694 | ||
695 | Int_t nClustersITS = esdTrack->GetITSclusters(fIdxInt); | |
696 | fhQA[kCutClusterITS][index]->Fill((float)nClustersITS); | |
697 | Float_t chi2PerClusterITS = -1.; | |
698 | if (nClustersITS!=0) | |
699 | chi2PerClusterITS = esdTrack->GetITSchi2()/((float)nClustersITS); | |
700 | fhQA[kCutChi2ITS][index]->Fill(chi2PerClusterITS); | |
701 | ||
702 | if ((esdTrack->GetStatus()&AliESDtrack::kTPCrefit)==0) | |
703 | fhQA[kCutRefitTPC][index]->Fill(0.); | |
704 | if (!((esdTrack->GetStatus()&AliESDtrack::kTPCrefit)==0)) | |
705 | fhQA[kCutRefitTPC][index]->Fill(1.); | |
706 | ||
707 | if ((esdTrack->GetStatus()&AliESDtrack::kITSrefit)==0) | |
708 | fhQA[kCutRefitITS][index]->Fill(0.); | |
709 | if (!((esdTrack->GetStatus()&AliESDtrack::kITSrefit)==0)) | |
710 | fhQA[kCutRefitITS][index]->Fill(1.); | |
711 | ||
712 | Double_t extCov[15]; | |
713 | esdTrack->GetExternalCovariance(extCov); | |
714 | ||
715 | fhQA[kCutCovElement11][index]->Fill(extCov[0]); | |
716 | fhQA[kCutCovElement22][index]->Fill(extCov[2]); | |
717 | fhQA[kCutCovElement33][index]->Fill(extCov[5]); | |
718 | fhQA[kCutCovElement44][index]->Fill(extCov[9]); | |
719 | fhQA[kCutCovElement55][index]->Fill(extCov[14]); | |
720 | ||
721 | // fill cut statistics and cut correlation histograms with information from the bitmap | |
722 | if (b) return; | |
723 | ||
724 | // Get the bitmap of the single cuts | |
725 | if ( !obj ) return; | |
726 | TBits* bitmap = SelectionBitMap(obj); | |
727 | ||
728 | // Number of single cuts in this class | |
729 | UInt_t ncuts = bitmap->GetNbits(); | |
730 | for(UInt_t bit=0; bit<ncuts;bit++) { | |
731 | if (!bitmap->TestBitNumber(bit)) { | |
732 | fhCutStatistics->Fill(bit+1); | |
733 | for (UInt_t bit2=bit; bit2<ncuts;bit2++) { | |
734 | if (!bitmap->TestBitNumber(bit2)) | |
735 | fhCutCorrelation->Fill(bit+1,bit2+1); | |
736 | } | |
737 | } | |
738 | } | |
739 | } | |
740 | //__________________________________________________________________________________ | |
741 | void AliCFTrackQualityCuts::SaveHistograms(const Char_t* dir) { | |
742 | // | |
743 | // saves the histograms in a directory (dir) | |
744 | // | |
745 | if(!fIsQAOn) return; | |
746 | ||
747 | if (!dir) | |
748 | dir = GetName(); | |
749 | ||
750 | gDirectory->mkdir(dir); | |
751 | gDirectory->cd(dir); | |
752 | ||
753 | gDirectory->mkdir("before_cuts"); | |
754 | gDirectory->mkdir("after_cuts"); | |
755 | ||
756 | fhCutStatistics->Write(); | |
757 | fhCutCorrelation->Write(); | |
758 | ||
759 | for (Int_t j=0; j<kNStepQA; j++) { | |
760 | if (j==0) | |
761 | gDirectory->cd("before_cuts"); | |
762 | else | |
763 | gDirectory->cd("after_cuts"); | |
764 | ||
765 | for(Int_t i=0; i<kNHist; i++) fhQA[i][j]->Write(); | |
766 | ||
767 | gDirectory->cd("../"); | |
768 | } | |
769 | gDirectory->cd("../"); | |
770 | } | |
771 | //__________________________________________________________________________________ | |
772 | void AliCFTrackQualityCuts::DrawHistograms(Bool_t drawLogScale) | |
773 | { | |
774 | // | |
775 | // draws some histograms | |
776 | // | |
777 | if(!fIsQAOn) return; | |
778 | ||
779 | // pad margins | |
780 | Float_t right = 0.03; | |
781 | Float_t left = 0.175; | |
782 | Float_t top = 0.03; | |
783 | Float_t bottom = 0.175; | |
784 | ||
785 | TCanvas* canvas1 = new TCanvas("Track_QA_Quality_1", "Track QA Quality 1", 800, 500); | |
786 | canvas1->Divide(2, 1); | |
787 | ||
788 | canvas1->cd(1); | |
789 | fhCutStatistics->SetStats(kFALSE); | |
790 | fhCutStatistics->LabelsOption("v"); | |
791 | gPad->SetLeftMargin(left); | |
792 | gPad->SetBottomMargin(0.25); | |
793 | gPad->SetRightMargin(right); | |
794 | gPad->SetTopMargin(0.1); | |
795 | fhCutStatistics->Draw(); | |
796 | ||
797 | canvas1->cd(2); | |
798 | fhCutCorrelation->SetStats(kFALSE); | |
799 | fhCutCorrelation->LabelsOption("v"); | |
800 | gPad->SetLeftMargin(0.30); | |
801 | gPad->SetRightMargin(bottom); | |
802 | gPad->SetTopMargin(0.1); | |
803 | gPad->SetBottomMargin(0.25); | |
804 | fhCutCorrelation->Draw("COLZ"); | |
805 | ||
806 | canvas1->SaveAs(Form("%s.eps", canvas1->GetName())); | |
807 | canvas1->SaveAs(Form("%s.ps", canvas1->GetName())); | |
808 | ||
809 | // ----- | |
810 | ||
811 | TCanvas* canvas2 = new TCanvas("Track_QA_Quality_2", "Track QA Quality 2", 1200, 800); | |
812 | canvas2->Divide(3, 2); | |
813 | ||
814 | canvas2->cd(1); | |
815 | gPad->SetRightMargin(right); | |
816 | gPad->SetLeftMargin(left); | |
817 | gPad->SetTopMargin(top); | |
818 | gPad->SetBottomMargin(bottom); | |
819 | fhQA[kCutClusterTPC][0]->SetStats(kFALSE); | |
820 | fhQA[kCutClusterTPC][0]->Draw(); | |
821 | fhQA[kCutClusterTPC][1]->Draw("same"); | |
822 | ||
823 | canvas2->cd(2); | |
824 | gPad->SetRightMargin(right); | |
825 | gPad->SetLeftMargin(left); | |
826 | gPad->SetTopMargin(top); | |
827 | gPad->SetBottomMargin(bottom); | |
828 | fhQA[kCutChi2TPC][0]->SetStats(kFALSE); | |
829 | fhQA[kCutChi2TPC][0]->Draw(); | |
830 | fhQA[kCutChi2TPC][1]->Draw("same"); | |
831 | ||
832 | canvas2->cd(3); | |
833 | gPad->SetRightMargin(right); | |
834 | gPad->SetLeftMargin(left); | |
835 | gPad->SetTopMargin(top); | |
836 | gPad->SetBottomMargin(bottom); | |
837 | fhQA[kCutRefitTPC][0]->SetStats(kFALSE); | |
838 | fhQA[kCutRefitTPC][0]->Draw(); | |
839 | fhQA[kCutRefitTPC][1]->Draw("same"); | |
840 | ||
841 | canvas2->cd(4); | |
842 | gPad->SetRightMargin(right); | |
843 | gPad->SetLeftMargin(left); | |
844 | gPad->SetTopMargin(top); | |
845 | gPad->SetBottomMargin(bottom); | |
846 | fhQA[kCutClusterITS][0]->SetStats(kFALSE); | |
847 | fhQA[kCutClusterITS][0]->Draw(); | |
848 | fhQA[kCutClusterITS][1]->Draw("same"); | |
849 | ||
850 | canvas2->cd(5); | |
851 | gPad->SetRightMargin(right); | |
852 | gPad->SetLeftMargin(left); | |
853 | gPad->SetTopMargin(top); | |
854 | gPad->SetBottomMargin(bottom); | |
855 | fhQA[kCutChi2ITS][0]->SetStats(kFALSE); | |
856 | fhQA[kCutChi2ITS][0]->Draw(); | |
857 | fhQA[kCutChi2ITS][1]->Draw("same"); | |
858 | ||
859 | canvas2->cd(6); | |
860 | gPad->SetRightMargin(right); | |
861 | gPad->SetLeftMargin(left); | |
862 | gPad->SetTopMargin(top); | |
863 | gPad->SetBottomMargin(bottom); | |
864 | fhQA[kCutRefitITS][0]->SetStats(kFALSE); | |
865 | fhQA[kCutRefitITS][0]->Draw(); | |
866 | fhQA[kCutRefitITS][1]->Draw("same"); | |
867 | ||
868 | canvas2->SaveAs(Form("%s.eps", canvas2->GetName())); | |
869 | canvas2->SaveAs(Form("%s.ps", canvas2->GetName())); | |
870 | ||
871 | // ----- | |
872 | ||
873 | TCanvas* canvas3 = new TCanvas("Track_QA_Quality_3", "Track QA Quality 3", 1200, 800); | |
874 | canvas3->Divide(3, 2); | |
875 | ||
876 | canvas3->cd(1); | |
877 | if(drawLogScale) gPad->SetLogy(); | |
878 | gPad->SetRightMargin(right); | |
879 | gPad->SetLeftMargin(left); | |
880 | gPad->SetTopMargin(top); | |
881 | gPad->SetBottomMargin(bottom); | |
882 | fhQA[kCutCovElement11][0]->SetStats(kFALSE); | |
883 | fhQA[kCutCovElement11][0]->Draw(); | |
884 | fhQA[kCutCovElement11][1]->Draw("same"); | |
885 | ||
886 | canvas3->cd(2); | |
887 | if(drawLogScale) gPad->SetLogy(); | |
888 | gPad->SetRightMargin(right); | |
889 | gPad->SetLeftMargin(left); | |
890 | gPad->SetTopMargin(top); | |
891 | gPad->SetBottomMargin(bottom); | |
892 | fhQA[kCutCovElement22][0]->SetStats(kFALSE); | |
893 | fhQA[kCutCovElement22][0]->Draw(); | |
894 | fhQA[kCutCovElement22][1]->Draw("same"); | |
895 | ||
896 | canvas3->cd(3); | |
897 | if(drawLogScale) gPad->SetLogy(); | |
898 | gPad->SetRightMargin(right); | |
899 | gPad->SetLeftMargin(left); | |
900 | gPad->SetTopMargin(top); | |
901 | gPad->SetBottomMargin(bottom); | |
902 | fhQA[kCutCovElement33][0]->SetStats(kFALSE); | |
903 | fhQA[kCutCovElement33][0]->Draw(); | |
904 | fhQA[kCutCovElement33][1]->Draw("same"); | |
905 | ||
906 | canvas3->cd(4); | |
907 | if(drawLogScale) gPad->SetLogy(); | |
908 | gPad->SetRightMargin(right); | |
909 | gPad->SetLeftMargin(left); | |
910 | gPad->SetTopMargin(top); | |
911 | gPad->SetBottomMargin(bottom); | |
912 | fhQA[kCutCovElement44][0]->SetStats(kFALSE); | |
913 | fhQA[kCutCovElement44][0]->Draw(); | |
914 | fhQA[kCutCovElement44][1]->Draw("same"); | |
915 | ||
916 | canvas3->cd(5); | |
917 | if(drawLogScale) gPad->SetLogy(); | |
918 | gPad->SetRightMargin(right); | |
919 | gPad->SetLeftMargin(left); | |
920 | gPad->SetTopMargin(top); | |
921 | gPad->SetBottomMargin(bottom); | |
922 | fhQA[kCutCovElement55][0]->SetStats(kFALSE); | |
923 | fhQA[kCutCovElement55][0]->Draw(); | |
924 | fhQA[kCutCovElement55][1]->Draw("same"); | |
925 | ||
926 | canvas3->SaveAs(Form("%s.eps", canvas3->GetName())); | |
927 | canvas3->SaveAs(Form("%s.ps", canvas3->GetName())); | |
928 | } | |
929 | //__________________________________________________________________________________ | |
930 | void AliCFTrackQualityCuts::AddQAHistograms(TList *qaList) const { | |
931 | // | |
932 | // saves the histograms in a TList | |
933 | // | |
934 | if(!fIsQAOn) return; | |
935 | ||
936 | qaList->Add(fhCutStatistics); | |
937 | qaList->Add(fhCutCorrelation); | |
938 | ||
939 | for (Int_t j=0; j<kNStepQA; j++) { | |
940 | for(Int_t i=0; i<kNHist; i++) | |
941 | qaList->Add(fhQA[i][j]); | |
942 | } | |
943 | } |