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cut class prepared to remove cut duplication, wait for update of AliESDtrackCuts...
[u/mrichter/AliRoot.git] / CORRFW / AliCFTrackQualityCuts.cxx
CommitLineData
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:
563113d0 24// - number of clusters in the ITS
65e7777d 25// - number of clusters in the TPC
18274103 26// - number of clusters in the TRD
65e7777d 27// - ratio of found / finable number of clusters in the TPC
28// - number of tracklets in the TRD
29// - number TRD tracklets used for pid
563113d0 30// - chi2 / cluster in the ITS
65e7777d 31// - chi2 / cluster in the TPC
32// - chi2 / tracklet in the TRD
c2c45ca4 33// - number of clusters in the TPC used for dEdx calculation
563113d0 34// - successful TPC refit
35// - successful ITS refit
36// - covariance matrix diagonal elements
37//
38// The cut values for these cuts are set with the corresponding set functions.
39// All cut classes provided by the correction framework are supposed to be
40// added in the Analysis Framwork's class AliAnalysisFilter and applied by
41// the filter via a loop.
42//
43// author: I. Kraus (Ingrid.Kraus@cern.ch)
44// idea taken form
45// AliESDtrackCuts writte by Jan Fiete Grosse-Oetringhaus and
46// AliRsnDaughterCut class written by A. Pulvirenti.
47
48
49#include <TCanvas.h>
50#include <TDirectory.h>
563113d0 51#include <TH2.h>
6cb5e116 52#include <TBits.h>
563113d0 53
54#include <AliESDtrack.h>
c2c45ca4 55#include <AliESDtrackCuts.h>
563113d0 56#include <AliLog.h>
57#include "AliCFTrackQualityCuts.h"
8edd0c2c 58#include "AliAODTrack.h"
563113d0 59
60ClassImp(AliCFTrackQualityCuts)
61
62//__________________________________________________________________________________
63AliCFTrackQualityCuts::AliCFTrackQualityCuts() :
64 AliCFCutBase(),
65 fMinNClusterTPC(0),
66 fMinNClusterITS(0),
18274103 67 fMinNClusterTRD(0),
65e7777d 68 fMinFoundClusterTPC(0),
69 fMinNTrackletTRD(0),
70 fMinNTrackletTRDpid(0),
563113d0 71 fMaxChi2PerClusterTPC(0),
72 fMaxChi2PerClusterITS(0),
65e7777d 73 fMaxChi2PerTrackletTRD(0),
c2c45ca4 74 fMinNdEdxClusterTPC(0),
563113d0 75 fCovariance11Max(0),
76 fCovariance22Max(0),
77 fCovariance33Max(0),
78 fCovariance44Max(0),
79 fCovariance55Max(0),
8edd0c2c 80 fStatus(0),
563113d0 81 fhCutStatistics(0),
82 fhCutCorrelation(0),
83 fBitmap(0x0),
c2c45ca4 84 fTrackCuts(0x0),
563113d0 85 fhNBinsClusterTPC(0),
86 fhNBinsClusterITS(0),
18274103 87 fhNBinsClusterTRD(0),
65e7777d 88 fhNBinsFoundClusterTPC(0),
89 fhNBinsTrackletTRD(0),
90 fhNBinsTrackletTRDpid(0),
563113d0 91 fhNBinsChi2TPC(0),
92 fhNBinsChi2ITS(0),
18274103 93 fhNBinsChi2TRD(0),
c2c45ca4 94 fhNBinsdEdxClusterTPC(0),
563113d0 95 fhNBinsCovariance11(0),
96 fhNBinsCovariance22(0),
97 fhNBinsCovariance33(0),
98 fhNBinsCovariance44(0),
99 fhNBinsCovariance55(0),
100 fhBinLimClusterTPC(0x0),
101 fhBinLimClusterITS(0x0),
18274103 102 fhBinLimClusterTRD(0x0),
65e7777d 103 fhBinLimFoundClusterTPC(0x0),
104 fhBinLimTrackletTRD(0x0),
105 fhBinLimTrackletTRDpid(0x0),
563113d0 106 fhBinLimChi2TPC(0x0),
107 fhBinLimChi2ITS(0x0),
18274103 108 fhBinLimChi2TRD(0x0),
c2c45ca4 109 fhBinLimdEdxClusterTPC(0x0),
563113d0 110 fhBinLimCovariance11(0x0),
111 fhBinLimCovariance22(0x0),
112 fhBinLimCovariance33(0x0),
113 fhBinLimCovariance44(0x0),
114 fhBinLimCovariance55(0x0)
6cb5e116 115{
563113d0 116 //
117 // Default constructor
118 //
563113d0 119 Initialise();
120}
121//__________________________________________________________________________________
122AliCFTrackQualityCuts::AliCFTrackQualityCuts(Char_t* name, Char_t* title) :
123 AliCFCutBase(name,title),
124 fMinNClusterTPC(0),
125 fMinNClusterITS(0),
18274103 126 fMinNClusterTRD(0),
65e7777d 127 fMinFoundClusterTPC(0),
128 fMinNTrackletTRD(0),
129 fMinNTrackletTRDpid(0),
563113d0 130 fMaxChi2PerClusterTPC(0),
131 fMaxChi2PerClusterITS(0),
65e7777d 132 fMaxChi2PerTrackletTRD(0),
c2c45ca4 133 fMinNdEdxClusterTPC(0),
563113d0 134 fCovariance11Max(0),
135 fCovariance22Max(0),
136 fCovariance33Max(0),
137 fCovariance44Max(0),
138 fCovariance55Max(0),
8edd0c2c 139 fStatus(0),
563113d0 140 fhCutStatistics(0),
141 fhCutCorrelation(0),
142 fBitmap(0x0),
c2c45ca4 143 fTrackCuts(0x0),
563113d0 144 fhNBinsClusterTPC(0),
145 fhNBinsClusterITS(0),
18274103 146 fhNBinsClusterTRD(0),
65e7777d 147 fhNBinsFoundClusterTPC(0),
148 fhNBinsTrackletTRD(0),
149 fhNBinsTrackletTRDpid(0),
563113d0 150 fhNBinsChi2TPC(0),
151 fhNBinsChi2ITS(0),
18274103 152 fhNBinsChi2TRD(0),
c2c45ca4 153 fhNBinsdEdxClusterTPC(0),
563113d0 154 fhNBinsCovariance11(0),
155 fhNBinsCovariance22(0),
156 fhNBinsCovariance33(0),
157 fhNBinsCovariance44(0),
158 fhNBinsCovariance55(0),
159 fhBinLimClusterTPC(0x0),
160 fhBinLimClusterITS(0x0),
18274103 161 fhBinLimClusterTRD(0x0),
65e7777d 162 fhBinLimFoundClusterTPC(0x0),
163 fhBinLimTrackletTRD(0x0),
164 fhBinLimTrackletTRDpid(0x0),
563113d0 165 fhBinLimChi2TPC(0x0),
166 fhBinLimChi2ITS(0x0),
18274103 167 fhBinLimChi2TRD(0x0),
c2c45ca4 168 fhBinLimdEdxClusterTPC(0x0),
563113d0 169 fhBinLimCovariance11(0x0),
170 fhBinLimCovariance22(0x0),
171 fhBinLimCovariance33(0x0),
172 fhBinLimCovariance44(0x0),
173 fhBinLimCovariance55(0x0)
563113d0 174{
175 //
176 // Constructor
177 //
563113d0 178 Initialise();
179}
180//__________________________________________________________________________________
181AliCFTrackQualityCuts::AliCFTrackQualityCuts(const AliCFTrackQualityCuts& c) :
182 AliCFCutBase(c),
183 fMinNClusterTPC(c.fMinNClusterTPC),
184 fMinNClusterITS(c.fMinNClusterITS),
18274103 185 fMinNClusterTRD(c.fMinNClusterTRD),
65e7777d 186 fMinFoundClusterTPC(c.fMinFoundClusterTPC),
187 fMinNTrackletTRD(c.fMinNTrackletTRD),
188 fMinNTrackletTRDpid(c.fMinNTrackletTRDpid),
563113d0 189 fMaxChi2PerClusterTPC(c.fMaxChi2PerClusterTPC),
190 fMaxChi2PerClusterITS(c.fMaxChi2PerClusterITS),
65e7777d 191 fMaxChi2PerTrackletTRD(c.fMaxChi2PerTrackletTRD),
c2c45ca4 192 fMinNdEdxClusterTPC(c.fMinNdEdxClusterTPC),
563113d0 193 fCovariance11Max(c.fCovariance11Max),
194 fCovariance22Max(c.fCovariance22Max),
195 fCovariance33Max(c.fCovariance33Max),
196 fCovariance44Max(c.fCovariance44Max),
197 fCovariance55Max(c.fCovariance55Max),
8edd0c2c 198 fStatus(c.fStatus),
563113d0 199 fhCutStatistics(c.fhCutStatistics),
200 fhCutCorrelation(c.fhCutCorrelation),
201 fBitmap(c.fBitmap),
c2c45ca4 202 fTrackCuts(c.fTrackCuts),
563113d0 203 fhNBinsClusterTPC(c.fhNBinsClusterTPC),
204 fhNBinsClusterITS(c.fhNBinsClusterITS),
18274103 205 fhNBinsClusterTRD(c.fhNBinsClusterTRD),
65e7777d 206 fhNBinsFoundClusterTPC(c.fhNBinsFoundClusterTPC),
207 fhNBinsTrackletTRD(c.fhNBinsTrackletTRD),
208 fhNBinsTrackletTRDpid(c.fhNBinsTrackletTRDpid),
563113d0 209 fhNBinsChi2TPC(c.fhNBinsChi2TPC),
210 fhNBinsChi2ITS(c.fhNBinsChi2ITS),
18274103 211 fhNBinsChi2TRD(c.fhNBinsChi2TRD),
c2c45ca4 212 fhNBinsdEdxClusterTPC(c.fhNBinsdEdxClusterTPC),
563113d0 213 fhNBinsCovariance11(c.fhNBinsCovariance11),
214 fhNBinsCovariance22(c.fhNBinsCovariance22),
215 fhNBinsCovariance33(c.fhNBinsCovariance33),
216 fhNBinsCovariance44(c.fhNBinsCovariance44),
217 fhNBinsCovariance55(c.fhNBinsCovariance55),
218 fhBinLimClusterTPC(c.fhBinLimClusterTPC),
219 fhBinLimClusterITS(c.fhBinLimClusterITS),
18274103 220 fhBinLimClusterTRD(c.fhBinLimClusterTRD),
65e7777d 221 fhBinLimFoundClusterTPC(c.fhBinLimFoundClusterTPC),
222 fhBinLimTrackletTRD(c.fhBinLimTrackletTRD),
223 fhBinLimTrackletTRDpid(c.fhBinLimTrackletTRDpid),
563113d0 224 fhBinLimChi2TPC(c.fhBinLimChi2TPC),
225 fhBinLimChi2ITS(c.fhBinLimChi2ITS),
18274103 226 fhBinLimChi2TRD(c.fhBinLimChi2TRD),
c2c45ca4 227 fhBinLimdEdxClusterTPC(c.fhBinLimdEdxClusterTPC),
563113d0 228 fhBinLimCovariance11(c.fhBinLimCovariance11),
229 fhBinLimCovariance22(c.fhBinLimCovariance22),
230 fhBinLimCovariance33(c.fhBinLimCovariance33),
231 fhBinLimCovariance44(c.fhBinLimCovariance44),
232 fhBinLimCovariance55(c.fhBinLimCovariance55)
233{
234 //
235 // copy constructor
236 //
237 ((AliCFTrackQualityCuts &) c).Copy(*this);
238}
239//__________________________________________________________________________________
240AliCFTrackQualityCuts& AliCFTrackQualityCuts::operator=(const AliCFTrackQualityCuts& c)
241{
242 //
243 // Assignment operator
244 //
245 if (this != &c) {
246 AliCFCutBase::operator=(c) ;
247 fMinNClusterTPC = c.fMinNClusterTPC ;
248 fMinNClusterITS = c.fMinNClusterITS ;
18274103 249 fMinNClusterTRD = c.fMinNClusterTRD ;
65e7777d 250 fMinFoundClusterTPC = c.fMinFoundClusterTPC ;
251 fMinNTrackletTRD = c.fMinNTrackletTRD ;
252 fMinNTrackletTRDpid = c.fMinNTrackletTRDpid ;
563113d0 253 fMaxChi2PerClusterTPC = c.fMaxChi2PerClusterTPC ;
254 fMaxChi2PerClusterITS = c.fMaxChi2PerClusterITS ;
65e7777d 255 fMaxChi2PerTrackletTRD = c.fMaxChi2PerTrackletTRD ;
c2c45ca4 256 fMinNdEdxClusterTPC = c.fMinNdEdxClusterTPC;
563113d0 257 fCovariance11Max = c.fCovariance11Max ;
258 fCovariance22Max = c.fCovariance22Max ;
259 fCovariance33Max = c.fCovariance33Max ;
260 fCovariance44Max = c.fCovariance44Max ;
261 fCovariance55Max = c.fCovariance55Max ;
8edd0c2c 262 fStatus = c.fStatus ;
563113d0 263 fhCutStatistics = c.fhCutStatistics ;
264 fhCutCorrelation = c.fhCutCorrelation ;
265 fBitmap = c.fBitmap ;
c2c45ca4 266 fTrackCuts = c.fTrackCuts ;
563113d0 267 fhNBinsClusterTPC = c.fhNBinsClusterTPC ;
268 fhNBinsClusterITS = c.fhNBinsClusterITS ;
18274103 269 fhNBinsClusterTRD = c.fhNBinsClusterTRD ;
65e7777d 270 fhNBinsFoundClusterTPC = c.fhNBinsFoundClusterTPC ;
271 fhNBinsTrackletTRD = c.fhNBinsTrackletTRD ;
272 fhNBinsTrackletTRDpid = c.fhNBinsTrackletTRDpid ;
563113d0 273 fhNBinsChi2TPC = c.fhNBinsChi2TPC ;
274 fhNBinsChi2ITS = c.fhNBinsChi2ITS ;
18274103 275 fhNBinsChi2TRD = c.fhNBinsChi2TRD ;
c2c45ca4 276 fhNBinsdEdxClusterTPC = c.fhNBinsdEdxClusterTPC ;
563113d0 277 fhNBinsCovariance11 = c.fhNBinsCovariance11 ;
278 fhNBinsCovariance22 = c.fhNBinsCovariance22 ;
279 fhNBinsCovariance33 = c.fhNBinsCovariance33 ;
280 fhNBinsCovariance44 = c.fhNBinsCovariance44 ;
281 fhNBinsCovariance55 = c.fhNBinsCovariance55 ;
282 fhBinLimClusterTPC = c.fhBinLimClusterTPC ;
283 fhBinLimClusterITS = c.fhBinLimClusterITS ;
18274103 284 fhBinLimClusterTRD = c.fhBinLimClusterTRD ;
65e7777d 285 fhBinLimFoundClusterTPC = c.fhBinLimFoundClusterTPC ;
286 fhBinLimTrackletTRD = c.fhBinLimTrackletTRD ;
287 fhBinLimTrackletTRDpid = c.fhBinLimTrackletTRDpid ;
563113d0 288 fhBinLimChi2TPC = c.fhBinLimChi2TPC ;
289 fhBinLimChi2ITS = c.fhBinLimChi2ITS ;
18274103 290 fhBinLimChi2TRD = c.fhBinLimChi2TRD ;
c2c45ca4 291 fhBinLimdEdxClusterTPC = c.fhBinLimdEdxClusterTPC ;
563113d0 292 fhBinLimCovariance11 = c.fhBinLimCovariance11 ;
293 fhBinLimCovariance22 = c.fhBinLimCovariance22 ;
294 fhBinLimCovariance33 = c.fhBinLimCovariance33 ;
295 fhBinLimCovariance44 = c.fhBinLimCovariance44 ;
296 fhBinLimCovariance55 = c.fhBinLimCovariance55 ;
6cb5e116 297
563113d0 298 for (Int_t i=0; i<c.kNHist; i++){
299 for (Int_t j=0; j<c.kNStepQA; j++){
300 if(c.fhQA[i][j]) fhQA[i][j] = (TH1F*)c.fhQA[i][j]->Clone();
301 }
302 }
563113d0 303 ((AliCFTrackQualityCuts &) c).Copy(*this);
6cb5e116 304 }
563113d0 305 return *this;
306}
307//__________________________________________________________________________________
308AliCFTrackQualityCuts::~AliCFTrackQualityCuts()
309{
310 //
311 // destructor
312 //
8edd0c2c 313 if (fhCutStatistics) delete fhCutStatistics;
314 if (fhCutCorrelation) delete fhCutCorrelation;
563113d0 315
316 for (Int_t i=0; i<kNHist; i++){
317 for (Int_t j=0; j<kNStepQA; j++){
318 if(fhQA[i][j]) delete fhQA[i][j];
319 }
320 }
6cb5e116 321 if(fBitmap) delete fBitmap;
c2c45ca4 322 if(fTrackCuts) delete fTrackCuts;
563113d0 323 if(fhBinLimClusterTPC) delete fhBinLimClusterTPC;
324 if(fhBinLimClusterITS) delete fhBinLimClusterITS;
18274103 325 if(fhBinLimClusterTRD) delete fhBinLimClusterTRD;
65e7777d 326 if(fhBinLimFoundClusterTPC) delete fhBinLimFoundClusterTPC;
327 if(fhBinLimTrackletTRD) delete fhBinLimTrackletTRD;
328 if(fhBinLimTrackletTRDpid) delete fhBinLimTrackletTRDpid;
563113d0 329 if(fhBinLimChi2TPC) delete fhBinLimChi2TPC;
330 if(fhBinLimChi2ITS) delete fhBinLimChi2ITS;
18274103 331 if(fhBinLimChi2TRD) delete fhBinLimChi2TRD;
c2c45ca4 332 if(fhBinLimdEdxClusterTPC) delete fhBinLimdEdxClusterTPC;
563113d0 333 if(fhBinLimCovariance11) delete fhBinLimCovariance11;
334 if(fhBinLimCovariance22) delete fhBinLimCovariance22;
335 if(fhBinLimCovariance33) delete fhBinLimCovariance33;
336 if(fhBinLimCovariance44) delete fhBinLimCovariance44;
337 if(fhBinLimCovariance55) delete fhBinLimCovariance55;
563113d0 338}
339//__________________________________________________________________________________
340void AliCFTrackQualityCuts::Initialise()
341{
342 //
343 // sets everything to zero
344 //
345 fMinNClusterTPC = 0;
346 fMinNClusterITS = 0;
18274103 347 fMinNClusterTRD = 0;
65e7777d 348 fMinFoundClusterTPC = 0;
349 fMinNTrackletTRD = 0;
350 fMinNTrackletTRDpid = 0;
563113d0 351 fMaxChi2PerClusterTPC = 0;
352 fMaxChi2PerClusterITS = 0;
65e7777d 353 fMaxChi2PerTrackletTRD = 0;
c2c45ca4 354 fMinNdEdxClusterTPC = 0;
563113d0 355 fCovariance11Max = 0;
356 fCovariance22Max = 0;
357 fCovariance33Max = 0;
358 fCovariance44Max = 0;
359 fCovariance55Max = 0;
8edd0c2c 360 fStatus = 0;
563113d0 361
362 SetMinNClusterTPC();
363 SetMinNClusterITS();
18274103 364 SetMinNClusterTRD();
65e7777d 365 SetMinFoundClusterTPC();
366 SetMinNTrackletTRD();
367 SetMinNTrackletTRDpid();
563113d0 368 SetMaxChi2PerClusterTPC();
369 SetMaxChi2PerClusterITS();
65e7777d 370 SetMaxChi2PerTrackletTRD();
c2c45ca4 371 SetMinNdEdxClusterTPC();
563113d0 372 SetMaxCovDiagonalElements();
8edd0c2c 373 SetStatus();
563113d0 374
375 for (Int_t i=0; i<kNHist; i++){
6cb5e116 376 for (Int_t j=0; j<kNStepQA; j++)
563113d0 377 fhQA[i][j] = 0x0;
563113d0 378 }
379 fhCutStatistics = 0;
380 fhCutCorrelation = 0;
6cb5e116 381 fBitmap=new TBits(0);
c2c45ca4 382 fTrackCuts=new AliESDtrackCuts("aliESDtrackCuts","aliESDtrackCuts");
563113d0 383
6cb5e116 384 //set default bining for QA histograms
563113d0 385 SetHistogramBins(kCutClusterTPC,165,-0.5,164.5);
386 SetHistogramBins(kCutClusterITS,8,-0.5,7.5);
65e7777d 387 SetHistogramBins(kCutClusterTRD,120,-0.5,119.5);
388 SetHistogramBins(kCutMinFoundClusterTPC,110,-0.05,1.05);
389 SetHistogramBins(kCutTrackletTRD,7,-0.5,6.5);
390 SetHistogramBins(kCutTrackletTRDpid,7,-0.5,6.5);
6cb5e116 391 SetHistogramBins(kCutChi2TPC,500,0.,10.);
392 SetHistogramBins(kCutChi2ITS,500,0.,10.);
18274103 393 SetHistogramBins(kCutChi2TRD,500,0.,10.);
c2c45ca4 394 SetHistogramBins(kCutdEdxClusterTPC,165,-0.5,164.5);
6cb5e116 395 SetHistogramBins(kCutCovElement11,200,0.,20.);
396 SetHistogramBins(kCutCovElement22,200,0.,20.);
397 SetHistogramBins(kCutCovElement33,100,0.,1.);
398 SetHistogramBins(kCutCovElement44,100,0.,5.);
399 SetHistogramBins(kCutCovElement55,100,0.,5.);
563113d0 400}
401//__________________________________________________________________________________
402void AliCFTrackQualityCuts::Copy(TObject &c) const
403{
404 //
405 // Copy function
406 //
407 AliCFTrackQualityCuts& target = (AliCFTrackQualityCuts &) c;
408
409 target.Initialise();
410
411 if (fhCutStatistics) target.fhCutStatistics = (TH1F*) fhCutStatistics->Clone();
412 if (fhCutCorrelation) target.fhCutCorrelation = (TH2F*) fhCutCorrelation->Clone();
413
414 for (Int_t i=0; i<kNHist; i++){
415 for (Int_t j=0; j<kNStepQA; j++){
416 if(fhQA[i][j]) target.fhQA[i][j] = (TH1F*)fhQA[i][j]->Clone();
417 }
418 }
563113d0 419 TNamed::Copy(c);
420}
421//__________________________________________________________________________________
107a3100 422void AliCFTrackQualityCuts::SelectionBitMap(TObject* obj)
563113d0 423{
424 //
425 // test if the track passes the single cuts
426 // and store the information in a bitmap
427 //
428
429 // bitmap stores the decision of each single cut
430 for(Int_t i=0; i<kNCuts; i++)fBitmap->SetBitNumber(i,kFALSE);
431
8edd0c2c 432 if (!obj) return;
433 if (!obj->InheritsFrom("AliVParticle")) {
434 AliError("object must derived from AliVParticle !");
435 return;
436 }
563113d0 437
8edd0c2c 438 Bool_t isESDTrack = strcmp(obj->ClassName(),"AliESDtrack") == 0 ? kTRUE : kFALSE ;
439 Bool_t isAODTrack = strcmp(obj->ClassName(),"AliAODTrack") == 0 ? kTRUE : kFALSE ;
563113d0 440
8edd0c2c 441 AliESDtrack * esdTrack = 0x0 ;
442 AliAODTrack * aodTrack = 0x0 ;
443 if (isESDTrack) esdTrack = dynamic_cast<AliESDtrack*>(obj);
444 if (isAODTrack) aodTrack = dynamic_cast<AliAODTrack*>(obj);
563113d0 445
c2c45ca4 446 fTrackCuts->SetMinNClustersTPC(fMinNClusterTPC);
447 fTrackCuts->SetMinNClustersITS(fMinNClusterITS);
448 fTrackCuts->SetMaxChi2PerClusterTPC(fMaxChi2PerClusterTPC);
449 fTrackCuts->SetMaxChi2PerClusterITS(fMaxChi2PerClusterITS);
450 fTrackCuts->SetMaxCovDiagonalElements(fCovariance11Max,fCovariance22Max,fCovariance33Max,fCovariance44Max,fCovariance55Max);
451 if (isESDTrack) Bool_t ok = fTrackCuts->AcceptTrack(esdTrack);
452
453// // // remove following 5 lines when AliESDtrackCuts is updated
454 Int_t nClustersTPC = 0;
455 Int_t nClustersITS = 0 ;
456 Float_t chi2PerClusterTPC = 0 ;
457 Float_t chi2PerClusterITS = 0 ;
458 Double_t extCov[15]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
459
8edd0c2c 460 // get cut quantities
c2c45ca4 461 Int_t nClustersTRD = 0;
462 Int_t nTrackletsTRD = 0;
463 Float_t chi2PerTrackletTRD = 0;
65e7777d 464 Float_t fractionFoundClustersTPC = 0;
465
8edd0c2c 466 if (isESDTrack) {
65e7777d 467 nClustersTRD = esdTrack->GetTRDncls();
468 nTrackletsTRD = esdTrack->GetTRDntracklets();
65e7777d 469 if (nTrackletsTRD != 0) chi2PerTrackletTRD = esdTrack->GetTRDchi2() / Float_t(nTrackletsTRD);
c2c45ca4 470// // // include following line when AliESDtrackCuts is updated
471// if (esdTrack->GetTPCNclsF() != 0) fractionFoundClustersTPC = fTrackCuts->GetCutVariable(2) / float(esdTrack->GetTPCNclsF());
472
473// // // remove following 6 lines when AliESDtrackCuts is updated
474 nClustersTPC = esdTrack->GetTPCclusters(0x0);
475 nClustersITS = esdTrack->GetITSclusters(0x0);
476 if (nClustersTPC != 0) chi2PerClusterTPC = esdTrack->GetTPCchi2() / Float_t(nClustersTPC);
477 if (nClustersITS != 0) chi2PerClusterITS = esdTrack->GetITSchi2() / Float_t(nClustersITS);
478 esdTrack->GetExternalCovariance(extCov);
479 if (esdTrack->GetTPCNclsF() != 0) fractionFoundClustersTPC = float(nClustersTPC) / float(esdTrack->GetTPCNclsF());
8edd0c2c 480 }
563113d0 481
563113d0 482 // fill the bitmap
483 Int_t iCutBit = 0;
484
c2c45ca4 485// // // include following lines when AliESDtrackCuts is updated
486// fBitmap->SetBitNumber(iCutBit,fTrackCuts->GetCutDecision(2)); iCutBit++; // nClustersTPC
487// fBitmap->SetBitNumber(iCutBit,fTrackCuts->GetCutDecision(3)); iCutBit++; // nClustersITS
488// // // remove following 6 lines when AliESDtrackCuts is updated
489 if (nClustersTPC >= fMinNClusterTPC)
490 fBitmap->SetBitNumber(iCutBit,kTRUE);
491 iCutBit++;
492 if (nClustersITS >= fMinNClusterITS)
493 fBitmap->SetBitNumber(iCutBit,kTRUE);
494 iCutBit++;
495
18274103 496 if (nClustersTRD >= fMinNClusterTRD)
497 fBitmap->SetBitNumber(iCutBit,kTRUE);
498 iCutBit++;
c2c45ca4 499// // // if ((fMinFoundClusterTPC <= 0) || (fTrackCuts->GetCutVariable(2) > 0 && (fractionFoundClustersTPC >= fMinFoundClusterTPC)))
65e7777d 500 if ((fMinFoundClusterTPC <= 0) || (nClustersTPC > 0 && (fractionFoundClustersTPC >= fMinFoundClusterTPC)))
501 fBitmap->SetBitNumber(iCutBit,kTRUE);
502 iCutBit++;
503 if (nTrackletsTRD >= fMinNTrackletTRD)
504 fBitmap->SetBitNumber(iCutBit,kTRUE);
505 iCutBit++;
506 if (esdTrack->GetTRDntrackletsPID() >= fMinNTrackletTRDpid)
507 fBitmap->SetBitNumber(iCutBit,kTRUE);
508 iCutBit++;
c2c45ca4 509
510// // // include following lines when AliESDtrackCuts is updated
511// fBitmap->SetBitNumber(iCutBit,fTrackCuts->GetCutDecision(4)); iCutBit++; // chi2PerClusterTPC
512// fBitmap->SetBitNumber(iCutBit,fTrackCuts->GetCutDecision(5)); iCutBit++; // chi2PerClusterITS
513// // // remove following 6 lines when AliESDtrackCuts is updated
514 if (chi2PerClusterTPC <= fMaxChi2PerClusterTPC)
515 fBitmap->SetBitNumber(iCutBit,kTRUE);
516 iCutBit++;
517 if (chi2PerClusterITS <= fMaxChi2PerClusterITS)
518 fBitmap->SetBitNumber(iCutBit,kTRUE);
519 iCutBit++;
520
65e7777d 521 if (chi2PerTrackletTRD <= fMaxChi2PerTrackletTRD)
18274103 522 fBitmap->SetBitNumber(iCutBit,kTRUE);
523 iCutBit++;
c2c45ca4 524 if (esdTrack->GetTPCsignalN() >= fMinNdEdxClusterTPC)
8edd0c2c 525 fBitmap->SetBitNumber(iCutBit,kTRUE);
563113d0 526 iCutBit++;
c2c45ca4 527
528// // // include following lines when AliESDtrackCuts is updated
529// fBitmap->SetBitNumber(iCutBit,fTrackCuts->GetCutDecision(6)); iCutBit++; // extCov[0]
530// fBitmap->SetBitNumber(iCutBit,fTrackCuts->GetCutDecision(7)); iCutBit++; // extCov[2]
531// fBitmap->SetBitNumber(iCutBit,fTrackCuts->GetCutDecision(8)); iCutBit++; // extCov[5]
532// fBitmap->SetBitNumber(iCutBit,fTrackCuts->GetCutDecision(9)); iCutBit++; // extCov[9]
533// fBitmap->SetBitNumber(iCutBit,fTrackCuts->GetCutDecision(10)); iCutBit++; // extCov[14]
534// // // remove following lines when AliESDtrackCuts is updated
535 if (extCov[0] <= fCovariance11Max)
536 fBitmap->SetBitNumber(iCutBit,kTRUE);
537 iCutBit++;
538 if (extCov[2] <= fCovariance22Max)
539 fBitmap->SetBitNumber(iCutBit,kTRUE);
540 iCutBit++;
541 if (extCov[5] <= fCovariance33Max)
542 fBitmap->SetBitNumber(iCutBit,kTRUE);
543 iCutBit++;
544 if (extCov[9] <= fCovariance44Max)
545 fBitmap->SetBitNumber(iCutBit,kTRUE);
546 iCutBit++;
547 if (extCov[14] <= fCovariance55Max)
548 fBitmap->SetBitNumber(iCutBit,kTRUE);
549 iCutBit++;
550
551
8edd0c2c 552 if (isESDTrack) {
553 if ( (esdTrack->GetStatus() & fStatus) == fStatus ) fBitmap->SetBitNumber(iCutBit,kTRUE);
554 }
555 else {
556 if ( (aodTrack->GetStatus() & fStatus) == fStatus ) fBitmap->SetBitNumber(iCutBit,kTRUE);
557 }
563113d0 558
107a3100 559 return;
563113d0 560}
561//__________________________________________________________________________________
562Bool_t AliCFTrackQualityCuts::IsSelected(TObject* obj) {
563 //
564 // loops over decisions of single cuts and returns if the track is accepted
565 //
107a3100 566 SelectionBitMap(obj);
563113d0 567
107a3100 568 if (fIsQAOn) FillHistograms(obj,0);
563113d0 569 Bool_t isSelected = kTRUE;
570
107a3100 571 for (UInt_t icut=0; icut<fBitmap->GetNbits();icut++) {
572 if(!fBitmap->TestBitNumber(icut)) {
573 isSelected = kFALSE;
574 break;
575 }
576 }
577 if (!isSelected) return kFALSE ;
578 if (fIsQAOn) FillHistograms(obj,1);
579 return kTRUE;
563113d0 580}
581//__________________________________________________________________________________
582void AliCFTrackQualityCuts::SetHistogramBins(Int_t index, Int_t nbins, Double_t *bins)
583{
584 //
585 // variable bin size
586 //
587 if(!fIsQAOn) return;
588
8edd0c2c 589 if (index<0 || index>=kNHist) {
590 Error("SetHistogramBins","could not determine histogram from index %d",index);
591 return;
592 }
593
563113d0 594 switch(index){
595 case kCutClusterTPC:
db6722a5 596 fhNBinsClusterTPC=nbins+1;
563113d0 597 fhBinLimClusterTPC=new Double_t[nbins+1];
598 for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTPC[i]=bins[i];
599 break;
6cb5e116 600
563113d0 601 case kCutClusterITS:
db6722a5 602 fhNBinsClusterITS=nbins+1;
563113d0 603 fhBinLimClusterITS=new Double_t[nbins+1];
604 for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterITS[i]=bins[i];
605 break;
6cb5e116 606
18274103 607 case kCutClusterTRD:
608 fhNBinsClusterTRD=nbins+1;
609 fhBinLimClusterTRD=new Double_t[nbins+1];
610 for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTRD[i]=bins[i];
611 break;
612
65e7777d 613 case kCutMinFoundClusterTPC:
614 fhNBinsFoundClusterTPC=nbins+1;
615 fhBinLimFoundClusterTPC=new Double_t[nbins+1];
616 for(Int_t i=0;i<nbins+1;i++)fhBinLimFoundClusterTPC[i]=bins[i];
617 break;
618
619 case kCutTrackletTRD:
620 fhNBinsTrackletTRD=nbins+1;
621 fhBinLimTrackletTRD=new Double_t[nbins+1];
622 for(Int_t i=0;i<nbins+1;i++)fhBinLimTrackletTRD[i]=bins[i];
623 break;
624
625 case kCutTrackletTRDpid:
626 fhNBinsTrackletTRDpid=nbins+1;
627 fhBinLimTrackletTRDpid=new Double_t[nbins+1];
628 for(Int_t i=0;i<nbins+1;i++)fhBinLimTrackletTRDpid[i]=bins[i];
629 break;
630
563113d0 631 case kCutChi2TPC:
db6722a5 632 fhNBinsChi2TPC=nbins+1;
563113d0 633 fhBinLimChi2TPC=new Double_t[nbins+1];
634 for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TPC[i]=bins[i];
635 break;
6cb5e116 636
563113d0 637 case kCutChi2ITS:
db6722a5 638 fhNBinsChi2ITS=nbins+1;
563113d0 639 fhBinLimChi2ITS=new Double_t[nbins+1];
640 for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2ITS[i]=bins[i];
641 break;
6cb5e116 642
18274103 643 case kCutChi2TRD:
644 fhNBinsChi2TRD=nbins+1;
645 fhBinLimChi2TRD=new Double_t[nbins+1];
646 for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TRD[i]=bins[i];
647 break;
648
c2c45ca4 649 case kCutdEdxClusterTPC:
650 fhNBinsdEdxClusterTPC=nbins+1;
651 fhBinLimdEdxClusterTPC=new Double_t[nbins+1];
652 for(Int_t i=0;i<nbins+1;i++)fhBinLimdEdxClusterTPC[i]=bins[i];
653 break;
654
563113d0 655 case kCutCovElement11:
db6722a5 656 fhNBinsCovariance11=nbins+1;
563113d0 657 fhBinLimCovariance11=new Double_t[nbins+1];
658 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance11[i]=bins[i];
659 break;
6cb5e116 660
563113d0 661 case kCutCovElement22:
db6722a5 662 fhNBinsCovariance22=nbins+1;
563113d0 663 fhBinLimCovariance22=new Double_t[nbins+1];
664 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance22[i]=bins[i];
665 break;
6cb5e116 666
563113d0 667 case kCutCovElement33:
db6722a5 668 fhNBinsCovariance33=nbins+1;
563113d0 669 fhBinLimCovariance33=new Double_t[nbins+1];
670 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance33[i]=bins[i];
671 break;
6cb5e116 672
563113d0 673 case kCutCovElement44:
db6722a5 674 fhNBinsCovariance44=nbins+1;
563113d0 675 fhBinLimCovariance44=new Double_t[nbins+1];
676 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance44[i]=bins[i];
677 break;
6cb5e116 678
563113d0 679 case kCutCovElement55:
db6722a5 680 fhNBinsCovariance55=nbins+1;
563113d0 681 fhBinLimCovariance55=new Double_t[nbins+1];
682 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance55[i]=bins[i];
683 break;
684 }
685}
686//__________________________________________________________________________________
687void AliCFTrackQualityCuts::SetHistogramBins(Int_t index, Int_t nbins, Double_t xmin, Double_t xmax)
688{
689 //
690 // fixed bin size
691 //
8edd0c2c 692 if (index<0 || index>=kNHist) {
693 Error("SetHistogramBins","could not determine histogram from index %d",index);
694 return;
695 }
696
563113d0 697 switch(index){
698 case kCutClusterTPC:
db6722a5 699 fhNBinsClusterTPC=nbins+1;
563113d0 700 fhBinLimClusterTPC=new Double_t[nbins+1];
701 for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
702 break;
6cb5e116 703
563113d0 704 case kCutClusterITS:
db6722a5 705 fhNBinsClusterITS=nbins+1;
563113d0 706 fhBinLimClusterITS=new Double_t[nbins+1];
707 for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterITS[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
708 break;
6cb5e116 709
18274103 710 case kCutClusterTRD:
711 fhNBinsClusterTRD=nbins+1;
712 fhBinLimClusterTRD=new Double_t[nbins+1];
713 for(Int_t i=0;i<nbins+1;i++)fhBinLimClusterTRD[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
714 break;
715
65e7777d 716 case kCutMinFoundClusterTPC:
717 fhNBinsFoundClusterTPC=nbins+1;
718 fhBinLimFoundClusterTPC=new Double_t[nbins+1];
719 for(Int_t i=0;i<nbins+1;i++)fhBinLimFoundClusterTPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
720 break;
721
722 case kCutTrackletTRD:
723 fhNBinsTrackletTRD=nbins+1;
724 fhBinLimTrackletTRD=new Double_t[nbins+1];
725 for(Int_t i=0;i<nbins+1;i++)fhBinLimTrackletTRD[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
726 break;
727
728 case kCutTrackletTRDpid:
729 fhNBinsTrackletTRDpid=nbins+1;
730 fhBinLimTrackletTRDpid=new Double_t[nbins+1];
731 for(Int_t i=0;i<nbins+1;i++)fhBinLimTrackletTRDpid[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
732 break;
733
563113d0 734 case kCutChi2TPC:
db6722a5 735 fhNBinsChi2TPC=nbins+1;
563113d0 736 fhBinLimChi2TPC=new Double_t[nbins+1];
737 for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
738 break;
6cb5e116 739
563113d0 740 case kCutChi2ITS:
db6722a5 741 fhNBinsChi2ITS=nbins+1;
563113d0 742 fhBinLimChi2ITS=new Double_t[nbins+1];
743 for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2ITS[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
744 break;
6cb5e116 745
18274103 746 case kCutChi2TRD:
747 fhNBinsChi2TRD=nbins+1;
748 fhBinLimChi2TRD=new Double_t[nbins+1];
749 for(Int_t i=0;i<nbins+1;i++)fhBinLimChi2TRD[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
750 break;
751
c2c45ca4 752 case kCutdEdxClusterTPC:
753 fhNBinsdEdxClusterTPC=nbins+1;
754 fhBinLimdEdxClusterTPC=new Double_t[nbins+1];
755 for(Int_t i=0;i<nbins+1;i++)fhBinLimdEdxClusterTPC[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
756 break;
757
563113d0 758 case kCutCovElement11:
db6722a5 759 fhNBinsCovariance11=nbins+1;
563113d0 760 fhBinLimCovariance11=new Double_t[nbins+1];
761 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance11[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
762 break;
6cb5e116 763
563113d0 764 case kCutCovElement22:
db6722a5 765 fhNBinsCovariance22=nbins+1;
563113d0 766 fhBinLimCovariance22=new Double_t[nbins+1];
767 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance22[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
768 break;
6cb5e116 769
563113d0 770 case kCutCovElement33:
db6722a5 771 fhNBinsCovariance33=nbins+1;
563113d0 772 fhBinLimCovariance33=new Double_t[nbins+1];
773 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance33[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
774 break;
6cb5e116 775
563113d0 776 case kCutCovElement44:
db6722a5 777 fhNBinsCovariance44=nbins+1;
563113d0 778 fhBinLimCovariance44=new Double_t[nbins+1];
779 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance44[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
780 break;
6cb5e116 781
563113d0 782 case kCutCovElement55:
db6722a5 783 fhNBinsCovariance55=nbins+1;
563113d0 784 fhBinLimCovariance55=new Double_t[nbins+1];
785 for(Int_t i=0;i<nbins+1;i++)fhBinLimCovariance55[i]=xmin+i*(xmax-xmin)/Double_t(nbins);
786 break;
787 }
788}
789//__________________________________________________________________________________
790 void AliCFTrackQualityCuts::DefineHistograms() {
791 //
792 // histograms for cut variables, cut statistics and cut correlations
793 //
563113d0 794 Int_t color = 2;
795
796 // book cut statistics and cut correlation histograms
797 fhCutStatistics = new TH1F(Form("%s_cut_statistics",GetName()), Form("%s cut statistics",GetName()), kNCuts,0.5,kNCuts+0.5);
798 fhCutStatistics->SetLineWidth(2);
18274103 799 fhCutStatistics->GetXaxis()->SetBinLabel(1, "nClustersTPC");
800 fhCutStatistics->GetXaxis()->SetBinLabel(2, "nClustersITS");
65e7777d 801 fhCutStatistics->GetXaxis()->SetBinLabel(3, "nClustersTRD");
802 fhCutStatistics->GetXaxis()->SetBinLabel(4, "fractionClustersTPC");
803 fhCutStatistics->GetXaxis()->SetBinLabel(5, "ntrackletsTRD");
804 fhCutStatistics->GetXaxis()->SetBinLabel(6, "ntrackletsTRDpid");
805 fhCutStatistics->GetXaxis()->SetBinLabel(7, "chi2PerClusterTPC");
806 fhCutStatistics->GetXaxis()->SetBinLabel(8, "chi2PerClusterITS");
807 fhCutStatistics->GetXaxis()->SetBinLabel(9, "chi2PerTrackletTRD");
c2c45ca4 808 fhCutStatistics->GetXaxis()->SetBinLabel(10, "ndEdxClusterTPC");
809 fhCutStatistics->GetXaxis()->SetBinLabel(11, "covElement11");
810 fhCutStatistics->GetXaxis()->SetBinLabel(12, "covElement22");
811 fhCutStatistics->GetXaxis()->SetBinLabel(13, "covElement33");
812 fhCutStatistics->GetXaxis()->SetBinLabel(14, "covElement44");
813 fhCutStatistics->GetXaxis()->SetBinLabel(15, "covElement55");
814 fhCutStatistics->GetXaxis()->SetBinLabel(16, "status");
563113d0 815
816 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);
817 fhCutCorrelation->SetLineWidth(2);
18274103 818 fhCutCorrelation->GetXaxis()->SetBinLabel(1, "nClustersTPC");
819 fhCutCorrelation->GetXaxis()->SetBinLabel(2, "nClustersITS");
820 fhCutCorrelation->GetXaxis()->SetBinLabel(3, "nClustersTRD");
65e7777d 821 fhCutCorrelation->GetXaxis()->SetBinLabel(4, "fractionClustersTPC");
822 fhCutCorrelation->GetXaxis()->SetBinLabel(5, "ntrackletsTRD");
823 fhCutCorrelation->GetXaxis()->SetBinLabel(6, "ntrackletsTRDpid");
824 fhCutCorrelation->GetXaxis()->SetBinLabel(7, "chi2PerClusterTPC");
825 fhCutCorrelation->GetXaxis()->SetBinLabel(8, "chi2PerClusterITS");
826 fhCutCorrelation->GetXaxis()->SetBinLabel(9, "chi2PerTrackletTRD");
c2c45ca4 827 fhCutCorrelation->GetXaxis()->SetBinLabel(10, "ndEdxClustersTPC");
828 fhCutCorrelation->GetXaxis()->SetBinLabel(11, "covElement11");
829 fhCutCorrelation->GetXaxis()->SetBinLabel(12, "covElement22");
830 fhCutCorrelation->GetXaxis()->SetBinLabel(13, "covElement33");
831 fhCutCorrelation->GetXaxis()->SetBinLabel(14, "covElement44");
832 fhCutCorrelation->GetXaxis()->SetBinLabel(15, "covElement55");
833 fhCutCorrelation->GetXaxis()->SetBinLabel(16, "status");
18274103 834
835 fhCutCorrelation->GetYaxis()->SetBinLabel(1, "nClustersTPC");
836 fhCutCorrelation->GetYaxis()->SetBinLabel(2, "nClustersITS");
837 fhCutCorrelation->GetYaxis()->SetBinLabel(3, "nClustersTRD");
65e7777d 838 fhCutCorrelation->GetYaxis()->SetBinLabel(4, "fractionClustersTPC");
839 fhCutCorrelation->GetYaxis()->SetBinLabel(5, "ntrackletsTRD");
840 fhCutCorrelation->GetYaxis()->SetBinLabel(6, "ntrackletsTRDpid");
841 fhCutCorrelation->GetYaxis()->SetBinLabel(7, "chi2PerClusterTPC");
842 fhCutCorrelation->GetYaxis()->SetBinLabel(8, "chi2PerClusterITS");
843 fhCutCorrelation->GetYaxis()->SetBinLabel(9, "chi2PerTrackletTRD");
c2c45ca4 844 fhCutCorrelation->GetYaxis()->SetBinLabel(10, "ndEdxClustersTPC");
845 fhCutCorrelation->GetYaxis()->SetBinLabel(11, "covElement11");
846 fhCutCorrelation->GetYaxis()->SetBinLabel(12, "covElement22");
847 fhCutCorrelation->GetYaxis()->SetBinLabel(13, "covElement33");
848 fhCutCorrelation->GetYaxis()->SetBinLabel(14, "covElement44");
849 fhCutCorrelation->GetYaxis()->SetBinLabel(15, "covElement55");
850 fhCutCorrelation->GetYaxis()->SetBinLabel(16, "status");
563113d0 851
852
853 // book QA histograms
854 Char_t str[256];
855 for (Int_t i=0; i<kNStepQA; i++) {
856 if (i==0) sprintf(str," ");
857 else sprintf(str,"_cut");
6cb5e116 858
db6722a5 859 fhQA[kCutClusterTPC][i] = new TH1F(Form("%s_nClustersTPC%s",GetName(),str) ,"",fhNBinsClusterTPC-1,fhBinLimClusterTPC);
860 fhQA[kCutClusterITS][i] = new TH1F(Form("%s_nClustersITS%s",GetName(),str) ,"",fhNBinsClusterITS-1,fhBinLimClusterITS);
18274103 861 fhQA[kCutClusterTRD][i] = new TH1F(Form("%s_nClustersTRD%s",GetName(),str) ,"",fhNBinsClusterTRD-1,fhBinLimClusterTRD);
65e7777d 862 fhQA[kCutMinFoundClusterTPC][i] = new TH1F(Form("%s_fractionClustersTPC%s",GetName(),str) ,"",fhNBinsFoundClusterTPC-1,fhBinLimFoundClusterTPC);
863 fhQA[kCutTrackletTRD][i] = new TH1F(Form("%s_ntrackletsTRD%s",GetName(),str) ,"",fhNBinsTrackletTRD-1,fhBinLimTrackletTRD);
864 fhQA[kCutTrackletTRDpid][i] = new TH1F(Form("%s_ntrackletsTRDpid%s",GetName(),str) ,"",fhNBinsTrackletTRDpid-1,fhBinLimTrackletTRDpid);
db6722a5 865 fhQA[kCutChi2TPC][i] = new TH1F(Form("%s_chi2PerClusterTPC%s",GetName(),str),"",fhNBinsChi2TPC-1,fhBinLimChi2TPC);
866 fhQA[kCutChi2ITS][i] = new TH1F(Form("%s_chi2PerClusterITS%s",GetName(),str),"",fhNBinsChi2ITS-1,fhBinLimChi2ITS);
65e7777d 867 fhQA[kCutChi2TRD][i] = new TH1F(Form("%s_chi2PerTrackletTRD%s",GetName(),str),"",fhNBinsChi2TRD-1,fhBinLimChi2TRD);
c2c45ca4 868 fhQA[kCutdEdxClusterTPC][i] = new TH1F(Form("%s_ndEdxClustersTPC%s",GetName(),str) ,"",fhNBinsdEdxClusterTPC-1,fhBinLimdEdxClusterTPC);
db6722a5 869 fhQA[kCutCovElement11][i] = new TH1F(Form("%s_covMatrixDiagonal11%s",GetName(),str),"",fhNBinsCovariance11-1,fhBinLimCovariance11);
870 fhQA[kCutCovElement22][i] = new TH1F(Form("%s_covMatrixDiagonal22%s",GetName(),str),"",fhNBinsCovariance22-1,fhBinLimCovariance22);
871 fhQA[kCutCovElement33][i] = new TH1F(Form("%s_covMatrixDiagonal33%s",GetName(),str),"",fhNBinsCovariance33-1,fhBinLimCovariance33);
872 fhQA[kCutCovElement44][i] = new TH1F(Form("%s_covMatrixDiagonal44%s",GetName(),str),"",fhNBinsCovariance44-1,fhBinLimCovariance44);
873 fhQA[kCutCovElement55][i] = new TH1F(Form("%s_covMatrixDiagonal55%s",GetName(),str),"",fhNBinsCovariance55-1,fhBinLimCovariance55);
563113d0 874
875 fhQA[kCutClusterTPC][i] ->SetXTitle("n TPC clusters");
876 fhQA[kCutClusterITS][i] ->SetXTitle("n ITS clusters");
18274103 877 fhQA[kCutClusterTRD][i] ->SetXTitle("n TRD clusters");
65e7777d 878 fhQA[kCutMinFoundClusterTPC][i]->SetXTitle("fraction TPC clusters");
879 fhQA[kCutTrackletTRD][i] ->SetXTitle("n tracklets TRD");
880 fhQA[kCutTrackletTRDpid][i]->SetXTitle("n tracklets TRD pid");
563113d0 881 fhQA[kCutChi2TPC][i] ->SetXTitle("#chi^{2} per TPC cluster");
882 fhQA[kCutChi2ITS][i] ->SetXTitle("#chi^{2} per ITS cluster");
65e7777d 883 fhQA[kCutChi2TRD][i] ->SetXTitle("#chi^{2} per TRD tracklet");
c2c45ca4 884 fhQA[kCutdEdxClusterTPC][i] ->SetXTitle("n dEdx TPC clusters");
563113d0 885 fhQA[kCutCovElement11][i] ->SetXTitle("cov 11 : #sigma_{y}^{2} (cm^{2})");
886 fhQA[kCutCovElement22][i] ->SetXTitle("cov 22 : #sigma_{z}^{2} (cm^{2})");
887 fhQA[kCutCovElement33][i] ->SetXTitle("cov 33 : #sigma_{sin(#phi)}^{2}");
888 fhQA[kCutCovElement44][i] ->SetXTitle("cov 44 : #sigma_{tan(#theta_{dip})}^{2}");
6cb5e116 889 fhQA[kCutCovElement55][i] ->SetXTitle("cov 55 : #sigma_{1/p_{T}}^{2} ((c/GeV)^{2})");
563113d0 890 }
891
892 for(Int_t i=0; i<kNHist; i++) fhQA[i][1]->SetLineColor(color);
563113d0 893}
894//__________________________________________________________________________________
895void AliCFTrackQualityCuts::FillHistograms(TObject* obj, Bool_t b)
896{
897 //
898 // fill the QA histograms
899 //
563113d0 900
107a3100 901 if (!obj) return;
8edd0c2c 902 if (!obj->InheritsFrom("AliVParticle")) {
903 AliError("object must derived from AliVParticle !");
904 return;
905 }
906
907 Bool_t isESDTrack = strcmp(obj->ClassName(),"AliESDtrack") == 0 ? kTRUE : kFALSE ;
908 Bool_t isAODTrack = strcmp(obj->ClassName(),"AliAODTrack") == 0 ? kTRUE : kFALSE ;
909
910 AliESDtrack * esdTrack = 0x0 ;
911 AliAODTrack * aodTrack = 0x0 ;
912 if (isESDTrack) esdTrack = dynamic_cast<AliESDtrack*>(obj);
913 if (isAODTrack) aodTrack = dynamic_cast<AliAODTrack*>(obj);
563113d0 914
107a3100 915 // b = 0: fill histograms before cuts
916 // b = 1: fill histograms after cuts
563113d0 917
c2c45ca4 918// // // remove following 5 lines when AliESDtrackCuts is updated
919 Int_t nClustersTPC = 0;
920 Int_t nClustersITS = 0 ;
921 Float_t chi2PerClusterTPC = 0 ;
922 Float_t chi2PerClusterITS = 0 ;
923 Double_t extCov[15]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
924
925 Int_t nClustersTRD = 0 ;
926 Int_t nTrackletsTRD = 0 ;
927 Float_t chi2PerTrackletTRD = 0 ;
65e7777d 928 Float_t fractionFoundClustersTPC = 0;
929
8edd0c2c 930 if (isESDTrack) {
65e7777d 931 nClustersTRD = esdTrack->GetTRDncls();
932 nTrackletsTRD = esdTrack->GetTRDntracklets();
65e7777d 933 if (nTrackletsTRD != 0) chi2PerTrackletTRD = esdTrack->GetTRDchi2() / Float_t(nTrackletsTRD);
c2c45ca4 934 if (esdTrack->GetTPCNclsF() != 0) fractionFoundClustersTPC = fTrackCuts->GetCutVariable(2) / float(esdTrack->GetTPCNclsF());
935
936// // // include following line when AliESDtrackCuts is updated
937// if (esdTrack->GetTPCNclsF() != 0) fractionFoundClustersTPC = fTrackCuts->GetCutVariable(2) / float(esdTrack->GetTPCNclsF());
938
939// // // remove following 6 lines when AliESDtrackCuts is updated
940 nClustersTPC = esdTrack->GetTPCclusters(0x0);
941 nClustersITS = esdTrack->GetITSclusters(0x0);
942 if (nClustersTPC != 0) chi2PerClusterTPC = esdTrack->GetTPCchi2() / Float_t(nClustersTPC);
943 if (nClustersITS != 0) chi2PerClusterITS = esdTrack->GetITSchi2() / Float_t(nClustersITS);
944 esdTrack->GetExternalCovariance(extCov);
945 if (esdTrack->GetTPCNclsF() != 0) fractionFoundClustersTPC = float(nClustersTPC) / float(esdTrack->GetTPCNclsF());
946 }
947
948// // // include following lines when AliESDtrackCuts is updated
949// fhQA[kCutClusterTPC][b]->Fill(fTrackCuts->GetCutVariable(2));
950// fhQA[kCutClusterITS][b]->Fill(fTrackCuts->GetCutVariable(3));
951// fhQA[kCutChi2TPC][b]->Fill(fTrackCuts->GetCutVariable(4));
952// fhQA[kCutChi2ITS][b]->Fill(fTrackCuts->GetCutVariable(5));
953// // // remove following 4 lines when AliESDtrackCuts is updated
954 fhQA[kCutClusterTPC][b]->Fill((float)nClustersTPC);
955 fhQA[kCutChi2TPC][b]->Fill(chi2PerClusterTPC);
956 fhQA[kCutClusterITS][b]->Fill((float)nClustersITS);
957 fhQA[kCutChi2ITS][b]->Fill(chi2PerClusterITS);
958
959
18274103 960 fhQA[kCutClusterTRD][b]->Fill((float)nClustersTRD);
65e7777d 961 fhQA[kCutChi2TRD][b]->Fill(chi2PerTrackletTRD);
c2c45ca4 962// if (b==0 || (b==1 && fTrackCuts->GetCutVariable(2)>0)) fhQA[kCutMinFoundClusterTPC][b]->Fill((float)fractionFoundClustersTPC);
65e7777d 963 if (b==0 || (b==1 && nClustersTPC>0)) fhQA[kCutMinFoundClusterTPC][b]->Fill((float)fractionFoundClustersTPC);
964 fhQA[kCutTrackletTRD][b]->Fill((float)nTrackletsTRD);
965 fhQA[kCutTrackletTRDpid][b]->Fill((float)esdTrack->GetTRDntrackletsPID());
c2c45ca4 966 fhQA[kCutdEdxClusterTPC][b]->Fill((float)esdTrack->GetTPCsignalN());
967
968// // // include following lines when AliESDtrackCuts is updated
969// fhQA[kCutCovElement11][b]->Fill(fTrackCuts->GetCutVariable(6));
970// fhQA[kCutCovElement22][b]->Fill(fTrackCuts->GetCutVariable(7));
971// fhQA[kCutCovElement33][b]->Fill(fTrackCuts->GetCutVariable(8));
972// fhQA[kCutCovElement44][b]->Fill(fTrackCuts->GetCutVariable(9));
973// fhQA[kCutCovElement55][b]->Fill(fTrackCuts->GetCutVariable(10));
974// // // remove following 5 lines when AliESDtrackCuts is updated
975 fhQA[kCutCovElement11][b]->Fill(extCov[0]);
976 fhQA[kCutCovElement22][b]->Fill(extCov[2]);
977 fhQA[kCutCovElement33][b]->Fill(extCov[5]);
978 fhQA[kCutCovElement44][b]->Fill(extCov[9]);
979 fhQA[kCutCovElement55][b]->Fill(extCov[14]);
980
6cb5e116 981
563113d0 982 // fill cut statistics and cut correlation histograms with information from the bitmap
983 if (b) return;
984
985 // Get the bitmap of the single cuts
986 if ( !obj ) return;
107a3100 987 SelectionBitMap(obj);
563113d0 988
989 // Number of single cuts in this class
107a3100 990 UInt_t ncuts = fBitmap->GetNbits();
563113d0 991 for(UInt_t bit=0; bit<ncuts;bit++) {
107a3100 992 if (!fBitmap->TestBitNumber(bit)) {
563113d0 993 fhCutStatistics->Fill(bit+1);
994 for (UInt_t bit2=bit; bit2<ncuts;bit2++) {
107a3100 995 if (!fBitmap->TestBitNumber(bit2))
563113d0 996 fhCutCorrelation->Fill(bit+1,bit2+1);
997 }
998 }
999 }
1000}
1001//__________________________________________________________________________________
1002void AliCFTrackQualityCuts::SaveHistograms(const Char_t* dir) {
1003 //
1004 // saves the histograms in a directory (dir)
1005 //
1006 if(!fIsQAOn) return;
1007
1008 if (!dir)
1009 dir = GetName();
1010
1011 gDirectory->mkdir(dir);
1012 gDirectory->cd(dir);
1013
1014 gDirectory->mkdir("before_cuts");
1015 gDirectory->mkdir("after_cuts");
1016
1017 fhCutStatistics->Write();
1018 fhCutCorrelation->Write();
1019
1020 for (Int_t j=0; j<kNStepQA; j++) {
1021 if (j==0)
1022 gDirectory->cd("before_cuts");
1023 else
1024 gDirectory->cd("after_cuts");
1025
1026 for(Int_t i=0; i<kNHist; i++) fhQA[i][j]->Write();
1027
1028 gDirectory->cd("../");
1029 }
1030 gDirectory->cd("../");
1031}
1032//__________________________________________________________________________________
1033void AliCFTrackQualityCuts::DrawHistograms(Bool_t drawLogScale)
1034{
1035 //
1036 // draws some histograms
1037 //
1038 if(!fIsQAOn) return;
1039
1040 // pad margins
1041 Float_t right = 0.03;
1042 Float_t left = 0.175;
1043 Float_t top = 0.03;
1044 Float_t bottom = 0.175;
1045
1046 TCanvas* canvas1 = new TCanvas("Track_QA_Quality_1", "Track QA Quality 1", 800, 500);
1047 canvas1->Divide(2, 1);
1048
1049 canvas1->cd(1);
1050 fhCutStatistics->SetStats(kFALSE);
1051 fhCutStatistics->LabelsOption("v");
1052 gPad->SetLeftMargin(left);
1053 gPad->SetBottomMargin(0.25);
1054 gPad->SetRightMargin(right);
1055 gPad->SetTopMargin(0.1);
1056 fhCutStatistics->Draw();
1057
1058 canvas1->cd(2);
1059 fhCutCorrelation->SetStats(kFALSE);
1060 fhCutCorrelation->LabelsOption("v");
1061 gPad->SetLeftMargin(0.30);
1062 gPad->SetRightMargin(bottom);
1063 gPad->SetTopMargin(0.1);
1064 gPad->SetBottomMargin(0.25);
1065 fhCutCorrelation->Draw("COLZ");
1066
1067 canvas1->SaveAs(Form("%s.eps", canvas1->GetName()));
1068 canvas1->SaveAs(Form("%s.ps", canvas1->GetName()));
1069
1070 // -----
1071
1072 TCanvas* canvas2 = new TCanvas("Track_QA_Quality_2", "Track QA Quality 2", 1200, 800);
8edd0c2c 1073 canvas2->Divide(2, 2);
563113d0 1074
1075 canvas2->cd(1);
1076 gPad->SetRightMargin(right);
1077 gPad->SetLeftMargin(left);
1078 gPad->SetTopMargin(top);
1079 gPad->SetBottomMargin(bottom);
1080 fhQA[kCutClusterTPC][0]->SetStats(kFALSE);
1081 fhQA[kCutClusterTPC][0]->Draw();
1082 fhQA[kCutClusterTPC][1]->Draw("same");
1083
1084 canvas2->cd(2);
1085 gPad->SetRightMargin(right);
1086 gPad->SetLeftMargin(left);
1087 gPad->SetTopMargin(top);
1088 gPad->SetBottomMargin(bottom);
1089 fhQA[kCutChi2TPC][0]->SetStats(kFALSE);
1090 fhQA[kCutChi2TPC][0]->Draw();
1091 fhQA[kCutChi2TPC][1]->Draw("same");
1092
1093 canvas2->cd(3);
1094 gPad->SetRightMargin(right);
1095 gPad->SetLeftMargin(left);
1096 gPad->SetTopMargin(top);
1097 gPad->SetBottomMargin(bottom);
563113d0 1098 fhQA[kCutClusterITS][0]->SetStats(kFALSE);
1099 fhQA[kCutClusterITS][0]->Draw();
1100 fhQA[kCutClusterITS][1]->Draw("same");
1101
8edd0c2c 1102 canvas2->cd(4);
563113d0 1103 gPad->SetRightMargin(right);
1104 gPad->SetLeftMargin(left);
1105 gPad->SetTopMargin(top);
1106 gPad->SetBottomMargin(bottom);
1107 fhQA[kCutChi2ITS][0]->SetStats(kFALSE);
1108 fhQA[kCutChi2ITS][0]->Draw();
1109 fhQA[kCutChi2ITS][1]->Draw("same");
1110
563113d0 1111 canvas2->SaveAs(Form("%s.eps", canvas2->GetName()));
1112 canvas2->SaveAs(Form("%s.ps", canvas2->GetName()));
1113
1114 // -----
1115
1116 TCanvas* canvas3 = new TCanvas("Track_QA_Quality_3", "Track QA Quality 3", 1200, 800);
1117 canvas3->Divide(3, 2);
1118
1119 canvas3->cd(1);
1120 if(drawLogScale) gPad->SetLogy();
1121 gPad->SetRightMargin(right);
1122 gPad->SetLeftMargin(left);
1123 gPad->SetTopMargin(top);
1124 gPad->SetBottomMargin(bottom);
1125 fhQA[kCutCovElement11][0]->SetStats(kFALSE);
1126 fhQA[kCutCovElement11][0]->Draw();
1127 fhQA[kCutCovElement11][1]->Draw("same");
1128
1129 canvas3->cd(2);
1130 if(drawLogScale) gPad->SetLogy();
1131 gPad->SetRightMargin(right);
1132 gPad->SetLeftMargin(left);
1133 gPad->SetTopMargin(top);
1134 gPad->SetBottomMargin(bottom);
1135 fhQA[kCutCovElement22][0]->SetStats(kFALSE);
1136 fhQA[kCutCovElement22][0]->Draw();
1137 fhQA[kCutCovElement22][1]->Draw("same");
1138
1139 canvas3->cd(3);
1140 if(drawLogScale) gPad->SetLogy();
1141 gPad->SetRightMargin(right);
1142 gPad->SetLeftMargin(left);
1143 gPad->SetTopMargin(top);
1144 gPad->SetBottomMargin(bottom);
1145 fhQA[kCutCovElement33][0]->SetStats(kFALSE);
1146 fhQA[kCutCovElement33][0]->Draw();
1147 fhQA[kCutCovElement33][1]->Draw("same");
1148
1149 canvas3->cd(4);
1150 if(drawLogScale) gPad->SetLogy();
1151 gPad->SetRightMargin(right);
1152 gPad->SetLeftMargin(left);
1153 gPad->SetTopMargin(top);
1154 gPad->SetBottomMargin(bottom);
1155 fhQA[kCutCovElement44][0]->SetStats(kFALSE);
1156 fhQA[kCutCovElement44][0]->Draw();
1157 fhQA[kCutCovElement44][1]->Draw("same");
1158
1159 canvas3->cd(5);
1160 if(drawLogScale) gPad->SetLogy();
1161 gPad->SetRightMargin(right);
1162 gPad->SetLeftMargin(left);
1163 gPad->SetTopMargin(top);
1164 gPad->SetBottomMargin(bottom);
1165 fhQA[kCutCovElement55][0]->SetStats(kFALSE);
1166 fhQA[kCutCovElement55][0]->Draw();
1167 fhQA[kCutCovElement55][1]->Draw("same");
1168
1169 canvas3->SaveAs(Form("%s.eps", canvas3->GetName()));
1170 canvas3->SaveAs(Form("%s.ps", canvas3->GetName()));
1171}
1172//__________________________________________________________________________________
107a3100 1173void AliCFTrackQualityCuts::AddQAHistograms(TList *qaList) {
563113d0 1174 //
1175 // saves the histograms in a TList
1176 //
107a3100 1177 DefineHistograms();
563113d0 1178
1179 qaList->Add(fhCutStatistics);
1180 qaList->Add(fhCutCorrelation);
1181
1182 for (Int_t j=0; j<kNStepQA; j++) {
1183 for(Int_t i=0; i<kNHist; i++)
1184 qaList->Add(fhQA[i][j]);
1185 }
1186}