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563113d0 | 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> | |
563113d0 | 45 | #include <TH2.h> |
6cb5e116 | 46 | #include <TBits.h> |
563113d0 | 47 | |
48 | #include <AliESDtrack.h> | |
49 | #include <AliLog.h> | |
50 | #include "AliCFTrackQualityCuts.h" | |
8edd0c2c | 51 | #include "AliAODTrack.h" |
563113d0 | 52 | |
53 | ClassImp(AliCFTrackQualityCuts) | |
54 | ||
55 | //__________________________________________________________________________________ | |
56 | AliCFTrackQualityCuts::AliCFTrackQualityCuts() : | |
57 | AliCFCutBase(), | |
58 | fMinNClusterTPC(0), | |
59 | fMinNClusterITS(0), | |
60 | fMaxChi2PerClusterTPC(0), | |
61 | fMaxChi2PerClusterITS(0), | |
563113d0 | 62 | fCovariance11Max(0), |
63 | fCovariance22Max(0), | |
64 | fCovariance33Max(0), | |
65 | fCovariance44Max(0), | |
66 | fCovariance55Max(0), | |
8edd0c2c | 67 | fStatus(0), |
563113d0 | 68 | fhCutStatistics(0), |
69 | fhCutCorrelation(0), | |
70 | fBitmap(0x0), | |
71 | fhNBinsClusterTPC(0), | |
72 | fhNBinsClusterITS(0), | |
73 | fhNBinsChi2TPC(0), | |
74 | fhNBinsChi2ITS(0), | |
563113d0 | 75 | fhNBinsCovariance11(0), |
76 | fhNBinsCovariance22(0), | |
77 | fhNBinsCovariance33(0), | |
78 | fhNBinsCovariance44(0), | |
79 | fhNBinsCovariance55(0), | |
80 | fhBinLimClusterTPC(0x0), | |
81 | fhBinLimClusterITS(0x0), | |
82 | fhBinLimChi2TPC(0x0), | |
83 | fhBinLimChi2ITS(0x0), | |
563113d0 | 84 | fhBinLimCovariance11(0x0), |
85 | fhBinLimCovariance22(0x0), | |
86 | fhBinLimCovariance33(0x0), | |
87 | fhBinLimCovariance44(0x0), | |
88 | fhBinLimCovariance55(0x0) | |
6cb5e116 | 89 | { |
563113d0 | 90 | // |
91 | // Default constructor | |
92 | // | |
563113d0 | 93 | Initialise(); |
94 | } | |
95 | //__________________________________________________________________________________ | |
96 | AliCFTrackQualityCuts::AliCFTrackQualityCuts(Char_t* name, Char_t* title) : | |
97 | AliCFCutBase(name,title), | |
98 | fMinNClusterTPC(0), | |
99 | fMinNClusterITS(0), | |
100 | fMaxChi2PerClusterTPC(0), | |
101 | fMaxChi2PerClusterITS(0), | |
563113d0 | 102 | fCovariance11Max(0), |
103 | fCovariance22Max(0), | |
104 | fCovariance33Max(0), | |
105 | fCovariance44Max(0), | |
106 | fCovariance55Max(0), | |
8edd0c2c | 107 | fStatus(0), |
563113d0 | 108 | fhCutStatistics(0), |
109 | fhCutCorrelation(0), | |
110 | fBitmap(0x0), | |
111 | fhNBinsClusterTPC(0), | |
112 | fhNBinsClusterITS(0), | |
113 | fhNBinsChi2TPC(0), | |
114 | fhNBinsChi2ITS(0), | |
563113d0 | 115 | fhNBinsCovariance11(0), |
116 | fhNBinsCovariance22(0), | |
117 | fhNBinsCovariance33(0), | |
118 | fhNBinsCovariance44(0), | |
119 | fhNBinsCovariance55(0), | |
120 | fhBinLimClusterTPC(0x0), | |
121 | fhBinLimClusterITS(0x0), | |
122 | fhBinLimChi2TPC(0x0), | |
123 | fhBinLimChi2ITS(0x0), | |
563113d0 | 124 | fhBinLimCovariance11(0x0), |
125 | fhBinLimCovariance22(0x0), | |
126 | fhBinLimCovariance33(0x0), | |
127 | fhBinLimCovariance44(0x0), | |
128 | fhBinLimCovariance55(0x0) | |
563113d0 | 129 | { |
130 | // | |
131 | // Constructor | |
132 | // | |
563113d0 | 133 | Initialise(); |
134 | } | |
135 | //__________________________________________________________________________________ | |
136 | AliCFTrackQualityCuts::AliCFTrackQualityCuts(const AliCFTrackQualityCuts& c) : | |
137 | AliCFCutBase(c), | |
138 | fMinNClusterTPC(c.fMinNClusterTPC), | |
139 | fMinNClusterITS(c.fMinNClusterITS), | |
140 | fMaxChi2PerClusterTPC(c.fMaxChi2PerClusterTPC), | |
141 | fMaxChi2PerClusterITS(c.fMaxChi2PerClusterITS), | |
563113d0 | 142 | fCovariance11Max(c.fCovariance11Max), |
143 | fCovariance22Max(c.fCovariance22Max), | |
144 | fCovariance33Max(c.fCovariance33Max), | |
145 | fCovariance44Max(c.fCovariance44Max), | |
146 | fCovariance55Max(c.fCovariance55Max), | |
8edd0c2c | 147 | fStatus(c.fStatus), |
563113d0 | 148 | fhCutStatistics(c.fhCutStatistics), |
149 | fhCutCorrelation(c.fhCutCorrelation), | |
150 | fBitmap(c.fBitmap), | |
151 | fhNBinsClusterTPC(c.fhNBinsClusterTPC), | |
152 | fhNBinsClusterITS(c.fhNBinsClusterITS), | |
153 | fhNBinsChi2TPC(c.fhNBinsChi2TPC), | |
154 | fhNBinsChi2ITS(c.fhNBinsChi2ITS), | |
563113d0 | 155 | fhNBinsCovariance11(c.fhNBinsCovariance11), |
156 | fhNBinsCovariance22(c.fhNBinsCovariance22), | |
157 | fhNBinsCovariance33(c.fhNBinsCovariance33), | |
158 | fhNBinsCovariance44(c.fhNBinsCovariance44), | |
159 | fhNBinsCovariance55(c.fhNBinsCovariance55), | |
160 | fhBinLimClusterTPC(c.fhBinLimClusterTPC), | |
161 | fhBinLimClusterITS(c.fhBinLimClusterITS), | |
162 | fhBinLimChi2TPC(c.fhBinLimChi2TPC), | |
163 | fhBinLimChi2ITS(c.fhBinLimChi2ITS), | |
563113d0 | 164 | fhBinLimCovariance11(c.fhBinLimCovariance11), |
165 | fhBinLimCovariance22(c.fhBinLimCovariance22), | |
166 | fhBinLimCovariance33(c.fhBinLimCovariance33), | |
167 | fhBinLimCovariance44(c.fhBinLimCovariance44), | |
168 | fhBinLimCovariance55(c.fhBinLimCovariance55) | |
169 | { | |
170 | // | |
171 | // copy constructor | |
172 | // | |
173 | ((AliCFTrackQualityCuts &) c).Copy(*this); | |
174 | } | |
175 | //__________________________________________________________________________________ | |
176 | AliCFTrackQualityCuts& AliCFTrackQualityCuts::operator=(const AliCFTrackQualityCuts& c) | |
177 | { | |
178 | // | |
179 | // Assignment operator | |
180 | // | |
181 | if (this != &c) { | |
182 | AliCFCutBase::operator=(c) ; | |
183 | fMinNClusterTPC = c.fMinNClusterTPC ; | |
184 | fMinNClusterITS = c.fMinNClusterITS ; | |
185 | fMaxChi2PerClusterTPC = c.fMaxChi2PerClusterTPC ; | |
186 | fMaxChi2PerClusterITS = c.fMaxChi2PerClusterITS ; | |
563113d0 | 187 | fCovariance11Max = c.fCovariance11Max ; |
188 | fCovariance22Max = c.fCovariance22Max ; | |
189 | fCovariance33Max = c.fCovariance33Max ; | |
190 | fCovariance44Max = c.fCovariance44Max ; | |
191 | fCovariance55Max = c.fCovariance55Max ; | |
8edd0c2c | 192 | fStatus = c.fStatus ; |
563113d0 | 193 | fhCutStatistics = c.fhCutStatistics ; |
194 | fhCutCorrelation = c.fhCutCorrelation ; | |
195 | fBitmap = c.fBitmap ; | |
563113d0 | 196 | fhNBinsClusterTPC = c.fhNBinsClusterTPC ; |
197 | fhNBinsClusterITS = c.fhNBinsClusterITS ; | |
198 | fhNBinsChi2TPC = c.fhNBinsChi2TPC ; | |
199 | fhNBinsChi2ITS = c.fhNBinsChi2ITS ; | |
563113d0 | 200 | fhNBinsCovariance11 = c.fhNBinsCovariance11 ; |
201 | fhNBinsCovariance22 = c.fhNBinsCovariance22 ; | |
202 | fhNBinsCovariance33 = c.fhNBinsCovariance33 ; | |
203 | fhNBinsCovariance44 = c.fhNBinsCovariance44 ; | |
204 | fhNBinsCovariance55 = c.fhNBinsCovariance55 ; | |
205 | fhBinLimClusterTPC = c.fhBinLimClusterTPC ; | |
206 | fhBinLimClusterITS = c.fhBinLimClusterITS ; | |
207 | fhBinLimChi2TPC = c.fhBinLimChi2TPC ; | |
208 | fhBinLimChi2ITS = c.fhBinLimChi2ITS ; | |
563113d0 | 209 | fhBinLimCovariance11 = c.fhBinLimCovariance11 ; |
210 | fhBinLimCovariance22 = c.fhBinLimCovariance22 ; | |
211 | fhBinLimCovariance33 = c.fhBinLimCovariance33 ; | |
212 | fhBinLimCovariance44 = c.fhBinLimCovariance44 ; | |
213 | fhBinLimCovariance55 = c.fhBinLimCovariance55 ; | |
6cb5e116 | 214 | |
563113d0 | 215 | for (Int_t i=0; i<c.kNHist; i++){ |
216 | for (Int_t j=0; j<c.kNStepQA; j++){ | |
217 | if(c.fhQA[i][j]) fhQA[i][j] = (TH1F*)c.fhQA[i][j]->Clone(); | |
218 | } | |
219 | } | |
563113d0 | 220 | ((AliCFTrackQualityCuts &) c).Copy(*this); |
6cb5e116 | 221 | } |
563113d0 | 222 | return *this; |
223 | } | |
224 | //__________________________________________________________________________________ | |
225 | AliCFTrackQualityCuts::~AliCFTrackQualityCuts() | |
226 | { | |
227 | // | |
228 | // destructor | |
229 | // | |
8edd0c2c | 230 | if (fhCutStatistics) delete fhCutStatistics; |
231 | if (fhCutCorrelation) delete fhCutCorrelation; | |
563113d0 | 232 | |
233 | for (Int_t i=0; i<kNHist; i++){ | |
234 | for (Int_t j=0; j<kNStepQA; j++){ | |
235 | if(fhQA[i][j]) delete fhQA[i][j]; | |
236 | } | |
237 | } | |
6cb5e116 | 238 | if(fBitmap) delete fBitmap; |
563113d0 | 239 | if(fhBinLimClusterTPC) delete fhBinLimClusterTPC; |
240 | if(fhBinLimClusterITS) delete fhBinLimClusterITS; | |
241 | if(fhBinLimChi2TPC) delete fhBinLimChi2TPC; | |
242 | if(fhBinLimChi2ITS) delete fhBinLimChi2ITS; | |
563113d0 | 243 | if(fhBinLimCovariance11) delete fhBinLimCovariance11; |
244 | if(fhBinLimCovariance22) delete fhBinLimCovariance22; | |
245 | if(fhBinLimCovariance33) delete fhBinLimCovariance33; | |
246 | if(fhBinLimCovariance44) delete fhBinLimCovariance44; | |
247 | if(fhBinLimCovariance55) delete fhBinLimCovariance55; | |
563113d0 | 248 | } |
249 | //__________________________________________________________________________________ | |
250 | void AliCFTrackQualityCuts::Initialise() | |
251 | { | |
252 | // | |
253 | // sets everything to zero | |
254 | // | |
255 | fMinNClusterTPC = 0; | |
256 | fMinNClusterITS = 0; | |
257 | fMaxChi2PerClusterTPC = 0; | |
258 | fMaxChi2PerClusterITS = 0; | |
563113d0 | 259 | fCovariance11Max = 0; |
260 | fCovariance22Max = 0; | |
261 | fCovariance33Max = 0; | |
262 | fCovariance44Max = 0; | |
263 | fCovariance55Max = 0; | |
8edd0c2c | 264 | fStatus = 0; |
563113d0 | 265 | |
266 | SetMinNClusterTPC(); | |
267 | SetMinNClusterITS(); | |
268 | SetMaxChi2PerClusterTPC(); | |
269 | SetMaxChi2PerClusterITS(); | |
563113d0 | 270 | SetMaxCovDiagonalElements(); |
8edd0c2c | 271 | SetStatus(); |
563113d0 | 272 | |
273 | for (Int_t i=0; i<kNHist; i++){ | |
6cb5e116 | 274 | for (Int_t j=0; j<kNStepQA; j++) |
563113d0 | 275 | fhQA[i][j] = 0x0; |
563113d0 | 276 | } |
277 | fhCutStatistics = 0; | |
278 | fhCutCorrelation = 0; | |
6cb5e116 | 279 | fBitmap=new TBits(0); |
563113d0 | 280 | |
6cb5e116 | 281 | //set default bining for QA histograms |
563113d0 | 282 | SetHistogramBins(kCutClusterTPC,165,-0.5,164.5); |
283 | SetHistogramBins(kCutClusterITS,8,-0.5,7.5); | |
6cb5e116 | 284 | SetHistogramBins(kCutChi2TPC,500,0.,10.); |
285 | SetHistogramBins(kCutChi2ITS,500,0.,10.); | |
6cb5e116 | 286 | SetHistogramBins(kCutCovElement11,200,0.,20.); |
287 | SetHistogramBins(kCutCovElement22,200,0.,20.); | |
288 | SetHistogramBins(kCutCovElement33,100,0.,1.); | |
289 | SetHistogramBins(kCutCovElement44,100,0.,5.); | |
290 | SetHistogramBins(kCutCovElement55,100,0.,5.); | |
563113d0 | 291 | } |
292 | //__________________________________________________________________________________ | |
293 | void AliCFTrackQualityCuts::Copy(TObject &c) const | |
294 | { | |
295 | // | |
296 | // Copy function | |
297 | // | |
298 | AliCFTrackQualityCuts& target = (AliCFTrackQualityCuts &) c; | |
299 | ||
300 | target.Initialise(); | |
301 | ||
302 | if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone(); | |
303 | if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone(); | |
304 | ||
305 | for (Int_t i=0; i<kNHist; i++){ | |
306 | for (Int_t j=0; j<kNStepQA; j++){ | |
307 | if(fhQA[i][j]) target.fhQA[i][j] = (TH1F*)fhQA[i][j]->Clone(); | |
308 | } | |
309 | } | |
563113d0 | 310 | TNamed::Copy(c); |
311 | } | |
312 | //__________________________________________________________________________________ | |
107a3100 | 313 | void AliCFTrackQualityCuts::SelectionBitMap(TObject* obj) |
563113d0 | 314 | { |
315 | // | |
316 | // test if the track passes the single cuts | |
317 | // and store the information in a bitmap | |
318 | // | |
319 | ||
320 | // bitmap stores the decision of each single cut | |
321 | for(Int_t i=0; i<kNCuts; i++)fBitmap->SetBitNumber(i,kFALSE); | |
322 | ||
8edd0c2c | 323 | if (!obj) return; |
324 | if (!obj->InheritsFrom("AliVParticle")) { | |
325 | AliError("object must derived from AliVParticle !"); | |
326 | return; | |
327 | } | |
563113d0 | 328 | |
8edd0c2c | 329 | Bool_t isESDTrack = strcmp(obj->ClassName(),"AliESDtrack") == 0 ? kTRUE : kFALSE ; |
330 | Bool_t isAODTrack = strcmp(obj->ClassName(),"AliAODTrack") == 0 ? kTRUE : kFALSE ; | |
563113d0 | 331 | |
8edd0c2c | 332 | AliESDtrack * esdTrack = 0x0 ; |
333 | AliAODTrack * aodTrack = 0x0 ; | |
334 | if (isESDTrack) esdTrack = dynamic_cast<AliESDtrack*>(obj); | |
335 | if (isAODTrack) aodTrack = dynamic_cast<AliAODTrack*>(obj); | |
563113d0 | 336 | |
8edd0c2c | 337 | // get cut quantities |
338 | Int_t fIdxInt[200]; | |
339 | Int_t nClustersTPC = 0; | |
340 | Int_t nClustersITS = 0 ; | |
341 | Float_t chi2PerClusterTPC = 0 ; | |
342 | Float_t chi2PerClusterITS = 0 ; | |
343 | Double_t extCov[15]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; | |
344 | ||
345 | if (isESDTrack) { | |
346 | nClustersTPC = esdTrack->GetTPCclusters(fIdxInt); | |
347 | nClustersITS = esdTrack->GetITSclusters(fIdxInt); | |
348 | if (nClustersTPC != 0) chi2PerClusterTPC = esdTrack->GetTPCchi2() / Float_t(nClustersTPC); | |
349 | if (nClustersITS != 0) chi2PerClusterITS = esdTrack->GetITSchi2() / Float_t(nClustersITS); | |
350 | esdTrack->GetExternalCovariance(extCov); | |
351 | } | |
563113d0 | 352 | |
563113d0 | 353 | // fill the bitmap |
354 | Int_t iCutBit = 0; | |
355 | ||
107a3100 | 356 | if (nClustersTPC >= fMinNClusterTPC) |
8edd0c2c | 357 | fBitmap->SetBitNumber(iCutBit,kTRUE); |
563113d0 | 358 | iCutBit++; |
107a3100 | 359 | if (nClustersITS >= fMinNClusterITS) |
8edd0c2c | 360 | fBitmap->SetBitNumber(iCutBit,kTRUE); |
563113d0 | 361 | iCutBit++; |
107a3100 | 362 | if (chi2PerClusterTPC <= fMaxChi2PerClusterTPC) |
8edd0c2c | 363 | fBitmap->SetBitNumber(iCutBit,kTRUE); |
563113d0 | 364 | iCutBit++; |
107a3100 | 365 | if (chi2PerClusterITS <= fMaxChi2PerClusterITS) |
8edd0c2c | 366 | fBitmap->SetBitNumber(iCutBit,kTRUE); |
563113d0 | 367 | iCutBit++; |
107a3100 | 368 | if (extCov[0] <= fCovariance11Max) |
8edd0c2c | 369 | fBitmap->SetBitNumber(iCutBit,kTRUE); |
563113d0 | 370 | iCutBit++; |
107a3100 | 371 | if (extCov[2] <= fCovariance22Max) |
8edd0c2c | 372 | fBitmap->SetBitNumber(iCutBit,kTRUE); |
563113d0 | 373 | iCutBit++; |
107a3100 | 374 | if (extCov[5] <= fCovariance33Max) |
8edd0c2c | 375 | fBitmap->SetBitNumber(iCutBit,kTRUE); |
563113d0 | 376 | iCutBit++; |
107a3100 | 377 | if (extCov[9] <= fCovariance44Max) |
8edd0c2c | 378 | fBitmap->SetBitNumber(iCutBit,kTRUE); |
563113d0 | 379 | iCutBit++; |
107a3100 | 380 | if (extCov[14] <= fCovariance55Max) |
8edd0c2c | 381 | fBitmap->SetBitNumber(iCutBit,kTRUE); |
382 | iCutBit++; | |
383 | ||
384 | if (isESDTrack) { | |
385 | if ( (esdTrack->GetStatus() & fStatus) == fStatus ) fBitmap->SetBitNumber(iCutBit,kTRUE); | |
386 | } | |
387 | else { | |
388 | if ( (aodTrack->GetStatus() & fStatus) == fStatus ) fBitmap->SetBitNumber(iCutBit,kTRUE); | |
389 | } | |
563113d0 | 390 | |
107a3100 | 391 | return; |
563113d0 | 392 | } |
393 | //__________________________________________________________________________________ | |
394 | Bool_t AliCFTrackQualityCuts::IsSelected(TObject* obj) { | |
395 | // | |
396 | // loops over decisions of single cuts and returns if the track is accepted | |
397 | // | |
107a3100 | 398 | SelectionBitMap(obj); |
563113d0 | 399 | |
107a3100 | 400 | if (fIsQAOn) FillHistograms(obj,0); |
563113d0 | 401 | Bool_t isSelected = kTRUE; |
402 | ||
107a3100 | 403 | for (UInt_t icut=0; icut<fBitmap->GetNbits();icut++) { |
404 | if(!fBitmap->TestBitNumber(icut)) { | |
405 | isSelected = kFALSE; | |
406 | break; | |
407 | } | |
408 | } | |
409 | if (!isSelected) return kFALSE ; | |
410 | if (fIsQAOn) FillHistograms(obj,1); | |
411 | return kTRUE; | |
563113d0 | 412 | } |
413 | //__________________________________________________________________________________ | |
414 | void AliCFTrackQualityCuts::SetHistogramBins(Int_t index, Int_t nbins, Double_t *bins) | |
415 | { | |
416 | // | |
417 | // variable bin size | |
418 | // | |
419 | if(!fIsQAOn) return; | |
420 | ||
8edd0c2c | 421 | if (index<0 || index>=kNHist) { |
422 | Error("SetHistogramBins","could not determine histogram from index %d",index); | |
423 | return; | |
424 | } | |
425 | ||
563113d0 | 426 | switch(index){ |
427 | case kCutClusterTPC: | |
db6722a5 | 428 | fhNBinsClusterTPC=nbins+1; |
563113d0 | 429 | fhBinLimClusterTPC=new Double_t[nbins+1]; |
430 | for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTPC[i]=bins[i]; | |
431 | break; | |
6cb5e116 | 432 | |
563113d0 | 433 | case kCutClusterITS: |
db6722a5 | 434 | fhNBinsClusterITS=nbins+1; |
563113d0 | 435 | fhBinLimClusterITS=new Double_t[nbins+1]; |
436 | for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterITS[i]=bins[i]; | |
437 | break; | |
6cb5e116 | 438 | |
563113d0 | 439 | case kCutChi2TPC: |
db6722a5 | 440 | fhNBinsChi2TPC=nbins+1; |
563113d0 | 441 | fhBinLimChi2TPC=new Double_t[nbins+1]; |
442 | for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TPC[i]=bins[i]; | |
443 | break; | |
6cb5e116 | 444 | |
563113d0 | 445 | case kCutChi2ITS: |
db6722a5 | 446 | fhNBinsChi2ITS=nbins+1; |
563113d0 | 447 | fhBinLimChi2ITS=new Double_t[nbins+1]; |
448 | for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2ITS[i]=bins[i]; | |
449 | break; | |
6cb5e116 | 450 | |
563113d0 | 451 | case kCutCovElement11: |
db6722a5 | 452 | fhNBinsCovariance11=nbins+1; |
563113d0 | 453 | fhBinLimCovariance11=new Double_t[nbins+1]; |
454 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance11[i]=bins[i]; | |
455 | break; | |
6cb5e116 | 456 | |
563113d0 | 457 | case kCutCovElement22: |
db6722a5 | 458 | fhNBinsCovariance22=nbins+1; |
563113d0 | 459 | fhBinLimCovariance22=new Double_t[nbins+1]; |
460 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance22[i]=bins[i]; | |
461 | break; | |
6cb5e116 | 462 | |
563113d0 | 463 | case kCutCovElement33: |
db6722a5 | 464 | fhNBinsCovariance33=nbins+1; |
563113d0 | 465 | fhBinLimCovariance33=new Double_t[nbins+1]; |
466 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance33[i]=bins[i]; | |
467 | break; | |
6cb5e116 | 468 | |
563113d0 | 469 | case kCutCovElement44: |
db6722a5 | 470 | fhNBinsCovariance44=nbins+1; |
563113d0 | 471 | fhBinLimCovariance44=new Double_t[nbins+1]; |
472 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance44[i]=bins[i]; | |
473 | break; | |
6cb5e116 | 474 | |
563113d0 | 475 | case kCutCovElement55: |
db6722a5 | 476 | fhNBinsCovariance55=nbins+1; |
563113d0 | 477 | fhBinLimCovariance55=new Double_t[nbins+1]; |
478 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance55[i]=bins[i]; | |
479 | break; | |
480 | } | |
481 | } | |
482 | //__________________________________________________________________________________ | |
483 | void AliCFTrackQualityCuts::SetHistogramBins(Int_t index, Int_t nbins, Double_t xmin, Double_t xmax) | |
484 | { | |
485 | // | |
486 | // fixed bin size | |
487 | // | |
8edd0c2c | 488 | if (index<0 || index>=kNHist) { |
489 | Error("SetHistogramBins","could not determine histogram from index %d",index); | |
490 | return; | |
491 | } | |
492 | ||
563113d0 | 493 | switch(index){ |
494 | case kCutClusterTPC: | |
db6722a5 | 495 | fhNBinsClusterTPC=nbins+1; |
563113d0 | 496 | fhBinLimClusterTPC=new Double_t[nbins+1]; |
497 | for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
498 | break; | |
6cb5e116 | 499 | |
563113d0 | 500 | case kCutClusterITS: |
db6722a5 | 501 | fhNBinsClusterITS=nbins+1; |
563113d0 | 502 | fhBinLimClusterITS=new Double_t[nbins+1]; |
503 | for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterITS[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
504 | break; | |
6cb5e116 | 505 | |
563113d0 | 506 | case kCutChi2TPC: |
db6722a5 | 507 | fhNBinsChi2TPC=nbins+1; |
563113d0 | 508 | fhBinLimChi2TPC=new Double_t[nbins+1]; |
509 | for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
510 | break; | |
6cb5e116 | 511 | |
563113d0 | 512 | case kCutChi2ITS: |
db6722a5 | 513 | fhNBinsChi2ITS=nbins+1; |
563113d0 | 514 | fhBinLimChi2ITS=new Double_t[nbins+1]; |
515 | for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2ITS[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
516 | break; | |
6cb5e116 | 517 | |
563113d0 | 518 | case kCutCovElement11: |
db6722a5 | 519 | fhNBinsCovariance11=nbins+1; |
563113d0 | 520 | fhBinLimCovariance11=new Double_t[nbins+1]; |
521 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance11[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
522 | break; | |
6cb5e116 | 523 | |
563113d0 | 524 | case kCutCovElement22: |
db6722a5 | 525 | fhNBinsCovariance22=nbins+1; |
563113d0 | 526 | fhBinLimCovariance22=new Double_t[nbins+1]; |
527 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance22[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
528 | break; | |
6cb5e116 | 529 | |
563113d0 | 530 | case kCutCovElement33: |
db6722a5 | 531 | fhNBinsCovariance33=nbins+1; |
563113d0 | 532 | fhBinLimCovariance33=new Double_t[nbins+1]; |
533 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance33[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
534 | break; | |
6cb5e116 | 535 | |
563113d0 | 536 | case kCutCovElement44: |
db6722a5 | 537 | fhNBinsCovariance44=nbins+1; |
563113d0 | 538 | fhBinLimCovariance44=new Double_t[nbins+1]; |
539 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance44[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
540 | break; | |
6cb5e116 | 541 | |
563113d0 | 542 | case kCutCovElement55: |
db6722a5 | 543 | fhNBinsCovariance55=nbins+1; |
563113d0 | 544 | fhBinLimCovariance55=new Double_t[nbins+1]; |
545 | for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance55[i]=xmin+i*(xmax-xmin)/Double_t(nbins); | |
546 | break; | |
547 | } | |
548 | } | |
549 | //__________________________________________________________________________________ | |
550 | void AliCFTrackQualityCuts::DefineHistograms() { | |
551 | // | |
552 | // histograms for cut variables, cut statistics and cut correlations | |
553 | // | |
563113d0 | 554 | Int_t color = 2; |
555 | ||
556 | // book cut statistics and cut correlation histograms | |
557 | fhCutStatistics = new TH1F(Form("%s_cut_statistics",GetName()), Form("%s cut statistics",GetName()), kNCuts,0.5,kNCuts+0.5); | |
558 | fhCutStatistics->SetLineWidth(2); | |
559 | fhCutStatistics->GetXaxis()->SetBinLabel(1,"nClustersTPC"); | |
560 | fhCutStatistics->GetXaxis()->SetBinLabel(2,"nClustersITS"); | |
561 | fhCutStatistics->GetXaxis()->SetBinLabel(3,"chi2PerClusterTPC"); | |
562 | fhCutStatistics->GetXaxis()->SetBinLabel(4,"chi2PerClusterITS"); | |
8edd0c2c | 563 | fhCutStatistics->GetXaxis()->SetBinLabel(5,"covElement11"); |
564 | fhCutStatistics->GetXaxis()->SetBinLabel(6,"covElement22"); | |
565 | fhCutStatistics->GetXaxis()->SetBinLabel(7,"covElement33"); | |
566 | fhCutStatistics->GetXaxis()->SetBinLabel(8,"covElement44"); | |
567 | fhCutStatistics->GetXaxis()->SetBinLabel(9,"covElement55"); | |
563113d0 | 568 | |
569 | 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); | |
570 | fhCutCorrelation->SetLineWidth(2); | |
571 | fhCutCorrelation->GetXaxis()->SetBinLabel(1,"nClustersTPC"); | |
572 | fhCutCorrelation->GetXaxis()->SetBinLabel(2,"nClustersITS"); | |
573 | fhCutCorrelation->GetXaxis()->SetBinLabel(3,"chi2PerClusterTPC"); | |
574 | fhCutCorrelation->GetXaxis()->SetBinLabel(4,"chi2PerClusterITS"); | |
8edd0c2c | 575 | fhCutCorrelation->GetXaxis()->SetBinLabel(5,"covElement11"); |
576 | fhCutCorrelation->GetXaxis()->SetBinLabel(6,"covElement22"); | |
577 | fhCutCorrelation->GetXaxis()->SetBinLabel(7,"covElement33"); | |
578 | fhCutCorrelation->GetXaxis()->SetBinLabel(8,"covElement44"); | |
579 | fhCutCorrelation->GetXaxis()->SetBinLabel(9,"covElement55"); | |
563113d0 | 580 | |
581 | fhCutCorrelation->GetYaxis()->SetBinLabel(1,"nClustersTPC"); | |
582 | fhCutCorrelation->GetYaxis()->SetBinLabel(2,"nClustersITS"); | |
583 | fhCutCorrelation->GetYaxis()->SetBinLabel(3,"chi2PerClusterTPC"); | |
584 | fhCutCorrelation->GetYaxis()->SetBinLabel(4,"chi2PerClusterITS"); | |
8edd0c2c | 585 | fhCutCorrelation->GetYaxis()->SetBinLabel(5,"covElement11"); |
586 | fhCutCorrelation->GetYaxis()->SetBinLabel(6,"covElement22"); | |
587 | fhCutCorrelation->GetYaxis()->SetBinLabel(7,"covElement33"); | |
588 | fhCutCorrelation->GetYaxis()->SetBinLabel(8,"covElement44"); | |
589 | fhCutCorrelation->GetYaxis()->SetBinLabel(9,"covElement55"); | |
563113d0 | 590 | |
591 | ||
592 | // book QA histograms | |
593 | Char_t str[256]; | |
594 | for (Int_t i=0; i<kNStepQA; i++) { | |
595 | if (i==0) sprintf(str," "); | |
596 | else sprintf(str,"_cut"); | |
6cb5e116 | 597 | |
db6722a5 | 598 | fhQA[kCutClusterTPC][i] = new TH1F(Form("%s_nClustersTPC%s",GetName(),str) ,"",fhNBinsClusterTPC-1,fhBinLimClusterTPC); |
599 | fhQA[kCutClusterITS][i] = new TH1F(Form("%s_nClustersITS%s",GetName(),str) ,"",fhNBinsClusterITS-1,fhBinLimClusterITS); | |
600 | fhQA[kCutChi2TPC][i] = new TH1F(Form("%s_chi2PerClusterTPC%s",GetName(),str),"",fhNBinsChi2TPC-1,fhBinLimChi2TPC); | |
601 | fhQA[kCutChi2ITS][i] = new TH1F(Form("%s_chi2PerClusterITS%s",GetName(),str),"",fhNBinsChi2ITS-1,fhBinLimChi2ITS); | |
db6722a5 | 602 | fhQA[kCutCovElement11][i] = new TH1F(Form("%s_covMatrixDiagonal11%s",GetName(),str),"",fhNBinsCovariance11-1,fhBinLimCovariance11); |
603 | fhQA[kCutCovElement22][i] = new TH1F(Form("%s_covMatrixDiagonal22%s",GetName(),str),"",fhNBinsCovariance22-1,fhBinLimCovariance22); | |
604 | fhQA[kCutCovElement33][i] = new TH1F(Form("%s_covMatrixDiagonal33%s",GetName(),str),"",fhNBinsCovariance33-1,fhBinLimCovariance33); | |
605 | fhQA[kCutCovElement44][i] = new TH1F(Form("%s_covMatrixDiagonal44%s",GetName(),str),"",fhNBinsCovariance44-1,fhBinLimCovariance44); | |
606 | fhQA[kCutCovElement55][i] = new TH1F(Form("%s_covMatrixDiagonal55%s",GetName(),str),"",fhNBinsCovariance55-1,fhBinLimCovariance55); | |
563113d0 | 607 | |
608 | fhQA[kCutClusterTPC][i] ->SetXTitle("n TPC clusters"); | |
609 | fhQA[kCutClusterITS][i] ->SetXTitle("n ITS clusters"); | |
610 | fhQA[kCutChi2TPC][i] ->SetXTitle("#chi^{2} per TPC cluster"); | |
611 | fhQA[kCutChi2ITS][i] ->SetXTitle("#chi^{2} per ITS cluster"); | |
563113d0 | 612 | fhQA[kCutCovElement11][i] ->SetXTitle("cov 11 : #sigma_{y}^{2} (cm^{2})"); |
613 | fhQA[kCutCovElement22][i] ->SetXTitle("cov 22 : #sigma_{z}^{2} (cm^{2})"); | |
614 | fhQA[kCutCovElement33][i] ->SetXTitle("cov 33 : #sigma_{sin(#phi)}^{2}"); | |
615 | fhQA[kCutCovElement44][i] ->SetXTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}"); | |
6cb5e116 | 616 | fhQA[kCutCovElement55][i] ->SetXTitle("cov 55 : #sigma_{1/p_{T}}^{2} ((c/GeV)^{2})"); |
563113d0 | 617 | } |
618 | ||
619 | for(Int_t i=0; i<kNHist; i++) fhQA[i][1]->SetLineColor(color); | |
563113d0 | 620 | } |
621 | //__________________________________________________________________________________ | |
622 | void AliCFTrackQualityCuts::FillHistograms(TObject* obj, Bool_t b) | |
623 | { | |
624 | // | |
625 | // fill the QA histograms | |
626 | // | |
563113d0 | 627 | |
107a3100 | 628 | if (!obj) return; |
8edd0c2c | 629 | if (!obj->InheritsFrom("AliVParticle")) { |
630 | AliError("object must derived from AliVParticle !"); | |
631 | return; | |
632 | } | |
633 | ||
634 | Bool_t isESDTrack = strcmp(obj->ClassName(),"AliESDtrack") == 0 ? kTRUE : kFALSE ; | |
635 | Bool_t isAODTrack = strcmp(obj->ClassName(),"AliAODTrack") == 0 ? kTRUE : kFALSE ; | |
636 | ||
637 | AliESDtrack * esdTrack = 0x0 ; | |
638 | AliAODTrack * aodTrack = 0x0 ; | |
639 | if (isESDTrack) esdTrack = dynamic_cast<AliESDtrack*>(obj); | |
640 | if (isAODTrack) aodTrack = dynamic_cast<AliAODTrack*>(obj); | |
563113d0 | 641 | |
107a3100 | 642 | // b = 0: fill histograms before cuts |
643 | // b = 1: fill histograms after cuts | |
563113d0 | 644 | |
8edd0c2c | 645 | Int_t fIdxInt[200]; |
646 | Int_t nClustersTPC = 0; | |
647 | Int_t nClustersITS = 0 ; | |
648 | Float_t chi2PerClusterTPC = 0 ; | |
649 | Float_t chi2PerClusterITS = 0 ; | |
650 | Double_t extCov[15]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}; | |
651 | ||
652 | if (isESDTrack) { | |
653 | nClustersTPC = esdTrack->GetTPCclusters(fIdxInt); | |
654 | nClustersITS = esdTrack->GetITSclusters(fIdxInt); | |
655 | if (nClustersTPC != 0) chi2PerClusterTPC = esdTrack->GetTPCchi2() / Float_t(nClustersTPC); | |
656 | if (nClustersITS!=0) chi2PerClusterITS = esdTrack->GetITSchi2() / Float_t(nClustersITS); | |
657 | esdTrack->GetExternalCovariance(extCov); | |
658 | } | |
107a3100 | 659 | fhQA[kCutClusterTPC][b]->Fill((float)nClustersTPC); |
107a3100 | 660 | fhQA[kCutChi2TPC][b]->Fill(chi2PerClusterTPC); |
107a3100 | 661 | fhQA[kCutClusterITS][b]->Fill((float)nClustersITS); |
107a3100 | 662 | fhQA[kCutChi2ITS][b]->Fill(chi2PerClusterITS); |
107a3100 | 663 | fhQA[kCutCovElement11][b]->Fill(extCov[0]); |
664 | fhQA[kCutCovElement22][b]->Fill(extCov[2]); | |
665 | fhQA[kCutCovElement33][b]->Fill(extCov[5]); | |
666 | fhQA[kCutCovElement44][b]->Fill(extCov[9]); | |
667 | fhQA[kCutCovElement55][b]->Fill(extCov[14]); | |
6cb5e116 | 668 | |
563113d0 | 669 | // fill cut statistics and cut correlation histograms with information from the bitmap |
670 | if (b) return; | |
671 | ||
672 | // Get the bitmap of the single cuts | |
673 | if ( !obj ) return; | |
107a3100 | 674 | SelectionBitMap(obj); |
563113d0 | 675 | |
676 | // Number of single cuts in this class | |
107a3100 | 677 | UInt_t ncuts = fBitmap->GetNbits(); |
563113d0 | 678 | for(UInt_t bit=0; bit<ncuts;bit++) { |
107a3100 | 679 | if (!fBitmap->TestBitNumber(bit)) { |
563113d0 | 680 | fhCutStatistics->Fill(bit+1); |
681 | for (UInt_t bit2=bit; bit2<ncuts;bit2++) { | |
107a3100 | 682 | if (!fBitmap->TestBitNumber(bit2)) |
563113d0 | 683 | fhCutCorrelation->Fill(bit+1,bit2+1); |
684 | } | |
685 | } | |
686 | } | |
687 | } | |
688 | //__________________________________________________________________________________ | |
689 | void AliCFTrackQualityCuts::SaveHistograms(const Char_t* dir) { | |
690 | // | |
691 | // saves the histograms in a directory (dir) | |
692 | // | |
693 | if(!fIsQAOn) return; | |
694 | ||
695 | if (!dir) | |
696 | dir = GetName(); | |
697 | ||
698 | gDirectory->mkdir(dir); | |
699 | gDirectory->cd(dir); | |
700 | ||
701 | gDirectory->mkdir("before_cuts"); | |
702 | gDirectory->mkdir("after_cuts"); | |
703 | ||
704 | fhCutStatistics->Write(); | |
705 | fhCutCorrelation->Write(); | |
706 | ||
707 | for (Int_t j=0; j<kNStepQA; j++) { | |
708 | if (j==0) | |
709 | gDirectory->cd("before_cuts"); | |
710 | else | |
711 | gDirectory->cd("after_cuts"); | |
712 | ||
713 | for(Int_t i=0; i<kNHist; i++) fhQA[i][j]->Write(); | |
714 | ||
715 | gDirectory->cd("../"); | |
716 | } | |
717 | gDirectory->cd("../"); | |
718 | } | |
719 | //__________________________________________________________________________________ | |
720 | void AliCFTrackQualityCuts::DrawHistograms(Bool_t drawLogScale) | |
721 | { | |
722 | // | |
723 | // draws some histograms | |
724 | // | |
725 | if(!fIsQAOn) return; | |
726 | ||
727 | // pad margins | |
728 | Float_t right = 0.03; | |
729 | Float_t left = 0.175; | |
730 | Float_t top = 0.03; | |
731 | Float_t bottom = 0.175; | |
732 | ||
733 | TCanvas* canvas1 = new TCanvas("Track_QA_Quality_1", "Track QA Quality 1", 800, 500); | |
734 | canvas1->Divide(2, 1); | |
735 | ||
736 | canvas1->cd(1); | |
737 | fhCutStatistics->SetStats(kFALSE); | |
738 | fhCutStatistics->LabelsOption("v"); | |
739 | gPad->SetLeftMargin(left); | |
740 | gPad->SetBottomMargin(0.25); | |
741 | gPad->SetRightMargin(right); | |
742 | gPad->SetTopMargin(0.1); | |
743 | fhCutStatistics->Draw(); | |
744 | ||
745 | canvas1->cd(2); | |
746 | fhCutCorrelation->SetStats(kFALSE); | |
747 | fhCutCorrelation->LabelsOption("v"); | |
748 | gPad->SetLeftMargin(0.30); | |
749 | gPad->SetRightMargin(bottom); | |
750 | gPad->SetTopMargin(0.1); | |
751 | gPad->SetBottomMargin(0.25); | |
752 | fhCutCorrelation->Draw("COLZ"); | |
753 | ||
754 | canvas1->SaveAs(Form("%s.eps", canvas1->GetName())); | |
755 | canvas1->SaveAs(Form("%s.ps", canvas1->GetName())); | |
756 | ||
757 | // ----- | |
758 | ||
759 | TCanvas* canvas2 = new TCanvas("Track_QA_Quality_2", "Track QA Quality 2", 1200, 800); | |
8edd0c2c | 760 | canvas2->Divide(2, 2); |
563113d0 | 761 | |
762 | canvas2->cd(1); | |
763 | gPad->SetRightMargin(right); | |
764 | gPad->SetLeftMargin(left); | |
765 | gPad->SetTopMargin(top); | |
766 | gPad->SetBottomMargin(bottom); | |
767 | fhQA[kCutClusterTPC][0]->SetStats(kFALSE); | |
768 | fhQA[kCutClusterTPC][0]->Draw(); | |
769 | fhQA[kCutClusterTPC][1]->Draw("same"); | |
770 | ||
771 | canvas2->cd(2); | |
772 | gPad->SetRightMargin(right); | |
773 | gPad->SetLeftMargin(left); | |
774 | gPad->SetTopMargin(top); | |
775 | gPad->SetBottomMargin(bottom); | |
776 | fhQA[kCutChi2TPC][0]->SetStats(kFALSE); | |
777 | fhQA[kCutChi2TPC][0]->Draw(); | |
778 | fhQA[kCutChi2TPC][1]->Draw("same"); | |
779 | ||
780 | canvas2->cd(3); | |
781 | gPad->SetRightMargin(right); | |
782 | gPad->SetLeftMargin(left); | |
783 | gPad->SetTopMargin(top); | |
784 | gPad->SetBottomMargin(bottom); | |
563113d0 | 785 | fhQA[kCutClusterITS][0]->SetStats(kFALSE); |
786 | fhQA[kCutClusterITS][0]->Draw(); | |
787 | fhQA[kCutClusterITS][1]->Draw("same"); | |
788 | ||
8edd0c2c | 789 | canvas2->cd(4); |
563113d0 | 790 | gPad->SetRightMargin(right); |
791 | gPad->SetLeftMargin(left); | |
792 | gPad->SetTopMargin(top); | |
793 | gPad->SetBottomMargin(bottom); | |
794 | fhQA[kCutChi2ITS][0]->SetStats(kFALSE); | |
795 | fhQA[kCutChi2ITS][0]->Draw(); | |
796 | fhQA[kCutChi2ITS][1]->Draw("same"); | |
797 | ||
563113d0 | 798 | canvas2->SaveAs(Form("%s.eps", canvas2->GetName())); |
799 | canvas2->SaveAs(Form("%s.ps", canvas2->GetName())); | |
800 | ||
801 | // ----- | |
802 | ||
803 | TCanvas* canvas3 = new TCanvas("Track_QA_Quality_3", "Track QA Quality 3", 1200, 800); | |
804 | canvas3->Divide(3, 2); | |
805 | ||
806 | canvas3->cd(1); | |
807 | if(drawLogScale) gPad->SetLogy(); | |
808 | gPad->SetRightMargin(right); | |
809 | gPad->SetLeftMargin(left); | |
810 | gPad->SetTopMargin(top); | |
811 | gPad->SetBottomMargin(bottom); | |
812 | fhQA[kCutCovElement11][0]->SetStats(kFALSE); | |
813 | fhQA[kCutCovElement11][0]->Draw(); | |
814 | fhQA[kCutCovElement11][1]->Draw("same"); | |
815 | ||
816 | canvas3->cd(2); | |
817 | if(drawLogScale) gPad->SetLogy(); | |
818 | gPad->SetRightMargin(right); | |
819 | gPad->SetLeftMargin(left); | |
820 | gPad->SetTopMargin(top); | |
821 | gPad->SetBottomMargin(bottom); | |
822 | fhQA[kCutCovElement22][0]->SetStats(kFALSE); | |
823 | fhQA[kCutCovElement22][0]->Draw(); | |
824 | fhQA[kCutCovElement22][1]->Draw("same"); | |
825 | ||
826 | canvas3->cd(3); | |
827 | if(drawLogScale) gPad->SetLogy(); | |
828 | gPad->SetRightMargin(right); | |
829 | gPad->SetLeftMargin(left); | |
830 | gPad->SetTopMargin(top); | |
831 | gPad->SetBottomMargin(bottom); | |
832 | fhQA[kCutCovElement33][0]->SetStats(kFALSE); | |
833 | fhQA[kCutCovElement33][0]->Draw(); | |
834 | fhQA[kCutCovElement33][1]->Draw("same"); | |
835 | ||
836 | canvas3->cd(4); | |
837 | if(drawLogScale) gPad->SetLogy(); | |
838 | gPad->SetRightMargin(right); | |
839 | gPad->SetLeftMargin(left); | |
840 | gPad->SetTopMargin(top); | |
841 | gPad->SetBottomMargin(bottom); | |
842 | fhQA[kCutCovElement44][0]->SetStats(kFALSE); | |
843 | fhQA[kCutCovElement44][0]->Draw(); | |
844 | fhQA[kCutCovElement44][1]->Draw("same"); | |
845 | ||
846 | canvas3->cd(5); | |
847 | if(drawLogScale) gPad->SetLogy(); | |
848 | gPad->SetRightMargin(right); | |
849 | gPad->SetLeftMargin(left); | |
850 | gPad->SetTopMargin(top); | |
851 | gPad->SetBottomMargin(bottom); | |
852 | fhQA[kCutCovElement55][0]->SetStats(kFALSE); | |
853 | fhQA[kCutCovElement55][0]->Draw(); | |
854 | fhQA[kCutCovElement55][1]->Draw("same"); | |
855 | ||
856 | canvas3->SaveAs(Form("%s.eps", canvas3->GetName())); | |
857 | canvas3->SaveAs(Form("%s.ps", canvas3->GetName())); | |
858 | } | |
859 | //__________________________________________________________________________________ | |
107a3100 | 860 | void AliCFTrackQualityCuts::AddQAHistograms(TList *qaList) { |
563113d0 | 861 | // |
862 | // saves the histograms in a TList | |
863 | // | |
107a3100 | 864 | DefineHistograms(); |
563113d0 | 865 | |
866 | qaList->Add(fhCutStatistics); | |
867 | qaList->Add(fhCutCorrelation); | |
868 | ||
869 | for (Int_t j=0; j<kNStepQA; j++) { | |
870 | for(Int_t i=0; i<kNHist; i++) | |
871 | qaList->Add(fhQA[i][j]); | |
872 | } | |
873 | } |