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44f32dd2 | 1 | /************************************************************************** |
2 | * Copyright(c) 1998-2007, 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 | ||
17 | /* $Id: $ */ | |
18 | ||
19 | /* | |
20 | Based on AliPHOSQADataMaker | |
21 | Produces the data needed to calculate the quality assurance. | |
22 | All data must be mergeable objects. | |
23 | P. Christiansen, Lund, January 2008 | |
24 | */ | |
25 | ||
26 | /* | |
27 | Implementation: | |
28 | ||
29 | We have chosen to have the histograms as non-persistent meber to | |
30 | allow better debugging. In the copy constructor we then have to | |
31 | assign the pointers to the existing histograms in the copied | |
32 | list. This have been implemented but not tested. | |
33 | ||
34 | For the QA of the RAW data we use the class, AliTPCdataQA, from the | |
35 | existing TPC Calibration framework (which is more advanced than the | |
36 | standard QA framework) and extract the histograms at the end. This | |
37 | has been tested with zero-suppressed data. The Analyse method of the | |
38 | AliTPCdataQA class is called in the method, EndOfDetectorCycle, and | |
39 | there also: 1d histogram(s) are projected and added to the QA list. | |
40 | */ | |
41 | ||
42 | /* | |
43 | TODO: | |
44 | Sumw2 for RAW histogram(s)? | |
45 | RecPoints and ESD could have many more histograms | |
46 | */ | |
47 | ||
48 | #include "AliTPCQADataMakerRec.h" | |
49 | ||
50 | // --- ROOT system --- | |
51 | #include <TClonesArray.h> | |
be4f1702 | 52 | #include <TString.h> |
53 | #include <TSystem.h> | |
ce0175fa | 54 | #include <TBox.h> |
44f32dd2 | 55 | |
56 | // --- Standard library --- | |
57 | ||
58 | // --- AliRoot header files --- | |
59 | #include "AliQAChecker.h" | |
60 | #include "AliESDEvent.h" | |
61 | #include "AliESDtrack.h" | |
62 | #include "AliLog.h" | |
63 | #include "AliTPCCalPad.h" | |
adcdb395 | 64 | #include "AliTPCCalROC.h" |
44f32dd2 | 65 | #include "AliTPCClustersRow.h" |
66 | #include "AliTPCclusterMI.h" | |
44ed7a66 | 67 | #include "AliSimDigits.h" |
44f32dd2 | 68 | |
69 | ClassImp(AliTPCQADataMakerRec) | |
70 | ||
71 | //____________________________________________________________________________ | |
72 | AliTPCQADataMakerRec::AliTPCQADataMakerRec() : | |
ce0175fa | 73 | AliQADataMakerRec(AliQAv1::GetDetName(AliQAv1::kTPC), |
74 | "TPC Rec Quality Assurance Data Maker"), | |
75 | fTPCdataQA(NULL), | |
76 | fBeautifyOption(1), // 0:no beautify, !=0:beautify RAW | |
77 | fOccHighLimit(1e-4), // high limit for accepting occupancy values | |
78 | fQmaxLowLimit(8), // low limit for accepting Qmax values | |
79 | fQmaxHighLimit(40) // high limit for accepting Qmax values | |
44f32dd2 | 80 | { |
81 | // ctor | |
57acd2d2 | 82 | fTPCdataQA = new AliTPCdataQA*[AliRecoParam::kNSpecies] ; |
83 | for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) | |
84 | fTPCdataQA[specie] = NULL ; | |
85 | ||
be4f1702 | 86 | for(Int_t i = 0; i < 6; i++) |
87 | fMapping[i] = 0; | |
44f32dd2 | 88 | } |
89 | ||
90 | //____________________________________________________________________________ | |
91 | AliTPCQADataMakerRec::AliTPCQADataMakerRec(const AliTPCQADataMakerRec& qadm) : | |
336156cc | 92 | AliQADataMakerRec(), |
ce0175fa | 93 | fTPCdataQA(NULL), |
94 | fBeautifyOption(qadm.GetBeautifyOption()), | |
95 | fOccHighLimit(qadm.GetOccHighLimit()), | |
96 | fQmaxLowLimit(qadm.GetQmaxLowLimit()), | |
97 | fQmaxHighLimit(qadm.GetQmaxHighLimit()) | |
44f32dd2 | 98 | { |
99 | //copy ctor | |
100 | // Does not copy the calibration object, instead InitRaws have to be | |
101 | // called again | |
102 | SetName((const char*)qadm.GetName()) ; | |
103 | SetTitle((const char*)qadm.GetTitle()); | |
104 | ||
57acd2d2 | 105 | fTPCdataQA = new AliTPCdataQA*[AliRecoParam::kNSpecies] ; |
106 | for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) | |
107 | fTPCdataQA[specie] = NULL ; | |
108 | ||
be4f1702 | 109 | for(Int_t i = 0; i < 6; i++) |
110 | fMapping[i] = 0; | |
111 | ||
44f32dd2 | 112 | // |
113 | // Associate class histogram objects to the copies in the list | |
114 | // Could also be done with the indexes | |
115 | // | |
57acd2d2 | 116 | |
44f32dd2 | 117 | } |
118 | ||
119 | //__________________________________________________________________ | |
120 | AliTPCQADataMakerRec& AliTPCQADataMakerRec::operator = (const AliTPCQADataMakerRec& qadm ) | |
121 | { | |
122 | // Equal operator. | |
123 | this->~AliTPCQADataMakerRec(); | |
124 | new(this) AliTPCQADataMakerRec(qadm); | |
125 | return *this; | |
126 | } | |
be4f1702 | 127 | |
128 | //__________________________________________________________________ | |
129 | AliTPCQADataMakerRec::~AliTPCQADataMakerRec() | |
130 | { | |
131 | // Destructor | |
57acd2d2 | 132 | for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) |
133 | if ( fTPCdataQA[specie] != NULL ) | |
134 | delete fTPCdataQA[specie] ; | |
135 | delete[] fTPCdataQA; | |
be4f1702 | 136 | |
137 | for(Int_t i = 0; i < 6; i++) | |
138 | delete fMapping[i]; | |
139 | } | |
44f32dd2 | 140 | |
141 | //____________________________________________________________________________ | |
4e25ac79 | 142 | void AliTPCQADataMakerRec::EndOfDetectorCycle(AliQAv1::TASKINDEX_t task, TObjArray ** list) |
44f32dd2 | 143 | { |
144 | //Detector specific actions at end of cycle | |
57acd2d2 | 145 | |
146 | for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) { | |
4e25ac79 | 147 | if ( !AliQAv1::Instance()->IsEventSpecieSet(specie) ) |
57acd2d2 | 148 | continue ; |
149 | if(fTPCdataQA[specie] != NULL) { // do the final step of the QA for Raw data | |
44f32dd2 | 150 | |
57acd2d2 | 151 | fTPCdataQA[specie]->Analyse(); // 31/1-08 Analyse is now protected against |
c75bf2f1 | 152 | // RAW data files with no TPC data |
57acd2d2 | 153 | |
5e232cd6 | 154 | SetEventSpecie(AliRecoParam::ConvertIndex(specie)) ; |
ce0175fa | 155 | TH1F * histRawsOccupancy = (TH1F*)GetRawsData(kRawsOccupancy) ; |
156 | TH1F * histRawsOccupancyVsSector = (TH1F*)GetRawsData(kRawsOccupancyVsSector) ; | |
157 | TH1F * histRawsNClustersPerEventVsSector = (TH1F*)GetRawsData(kRawsNClustersPerEventVsSector) ; | |
158 | TH1F * histRawsQVsSector = (TH1F*)GetRawsData(kRawsQVsSector) ; | |
159 | TH1F * histRawsQmaxVsSector = (TH1F*)GetRawsData(kRawsQmaxVsSector) ; | |
160 | TH1F * histRawsOccupancyVsEvent = (TH1F*)GetRawsData(kRawsOccupancyVsEvent) ; | |
161 | TH1F * histRawsNclustersVsEvent = (TH1F*)GetRawsData(kRawsNclustersVsEvent) ; | |
57acd2d2 | 162 | if ( !histRawsOccupancy || |
ce0175fa | 163 | !histRawsOccupancyVsSector || |
164 | !histRawsNClustersPerEventVsSector || | |
165 | !histRawsQVsSector || | |
166 | !histRawsQmaxVsSector || | |
167 | !histRawsOccupancyVsEvent || | |
168 | !histRawsNclustersVsEvent ) { | |
57acd2d2 | 169 | AliError("Something very wrong here, corrupted memory ?????. Please check\n") ; |
170 | continue ; | |
171 | } | |
172 | ||
173 | //Add2RawsList(fTPCdataQA, 0); | |
174 | // get the histograms and add them to the output | |
175 | // 31/8-08 Histogram is only added if the Calibration class | |
176 | // receives TPC data | |
177 | const Int_t eventCounter = fTPCdataQA[specie]->GetEventCounter(); | |
178 | if(eventCounter>0) { // some TPC data has been processed | |
179 | ||
180 | // Reset histograms and refill them | |
181 | histRawsOccupancy->Reset(); | |
182 | histRawsOccupancyVsSector->Reset(); | |
183 | histRawsNClustersPerEventVsSector->Reset(); | |
184 | histRawsQVsSector->Reset(); | |
185 | histRawsQmaxVsSector->Reset(); | |
adcdb395 | 186 | |
ce0175fa | 187 | TH1F* hNormOcc = new TH1F("hNormOcc", 0, 72, 0, 72); |
188 | hNormOcc->Sumw2(); | |
189 | TH1F* hNormNclusters = new TH1F("hNormNclusters", 0, 72, 0, 72); | |
190 | hNormNclusters->Sumw2(); | |
57acd2d2 | 191 | |
192 | for (Int_t iSec = 0; iSec < 72; iSec++) { | |
adcdb395 | 193 | |
57acd2d2 | 194 | AliTPCCalROC* occupancyROC = |
195 | fTPCdataQA[specie]->GetNoThreshold()->GetCalROC(iSec); | |
196 | AliTPCCalROC* nclusterROC = | |
197 | fTPCdataQA[specie]->GetNLocalMaxima()->GetCalROC(iSec); | |
198 | AliTPCCalROC* qROC = | |
199 | fTPCdataQA[specie]->GetMeanCharge()->GetCalROC(iSec); | |
200 | AliTPCCalROC* qmaxROC = | |
201 | fTPCdataQA[specie]->GetMaxCharge()->GetCalROC(iSec); | |
202 | ||
203 | const Int_t nRows = occupancyROC->GetNrows(); | |
204 | for (Int_t iRow = 0; iRow < nRows; iRow++) { | |
205 | ||
57acd2d2 | 206 | const Int_t nPads = occupancyROC->GetNPads(iRow); |
207 | for (Int_t iPad = 0; iPad < nPads; iPad++) { | |
ce0175fa | 208 | |
57acd2d2 | 209 | histRawsOccupancy->Fill(occupancyROC->GetValue(iRow, iPad)); |
ce0175fa | 210 | hNormOcc->Fill(iSec); |
57acd2d2 | 211 | histRawsOccupancyVsSector |
ce0175fa | 212 | ->Fill(iSec, occupancyROC->GetValue(iRow, iPad)); |
213 | ||
57acd2d2 | 214 | const Int_t nClusters = TMath::Nint(nclusterROC->GetValue(iRow, iPad)); |
adcdb395 | 215 | |
ce0175fa | 216 | if(nClusters>0) { |
217 | ||
218 | hNormNclusters->Fill(iSec,nClusters); | |
57acd2d2 | 219 | histRawsNClustersPerEventVsSector->Fill(iSec, nClusters); |
ce0175fa | 220 | histRawsQVsSector->Fill(iSec, |
221 | nClusters*qROC->GetValue(iRow, iPad)); | |
222 | histRawsQmaxVsSector->Fill(iSec, | |
223 | nClusters*qmaxROC->GetValue(iRow, iPad)); | |
57acd2d2 | 224 | } |
225 | } | |
226 | } | |
227 | } // end loop over sectors | |
adcdb395 | 228 | |
ce0175fa | 229 | // update event histograms - copy info from TPDdataQA histos |
230 | TH1F* hQAOccVsEvent = fTPCdataQA[specie]->GetHistOccupancyVsEvent(); | |
231 | TH1F* hQANclVsEvent = fTPCdataQA[specie]->GetHistNclustersVsEvent(); | |
232 | ||
233 | // the two event histograms should have the same number of bins | |
234 | const Int_t nBins = hQAOccVsEvent->GetXaxis()->GetNbins(); | |
235 | for(Int_t bin = 1; bin <= nBins; bin++) { | |
236 | ||
237 | histRawsOccupancyVsEvent->SetBinContent(bin, hQAOccVsEvent->GetBinContent(bin)); | |
238 | histRawsNclustersVsEvent->SetBinContent(bin, hQANclVsEvent->GetBinContent(bin)); | |
239 | } | |
240 | ||
241 | histRawsOccupancyVsEvent->GetXaxis()->SetRange(hQAOccVsEvent->GetXaxis()->GetFirst(), hQAOccVsEvent->GetXaxis()->GetLast()); | |
242 | histRawsNclustersVsEvent->GetXaxis()->SetRange(hQANclVsEvent->GetXaxis()->GetFirst(), hQANclVsEvent->GetXaxis()->GetLast()); | |
243 | ||
57acd2d2 | 244 | // Normalize histograms |
ce0175fa | 245 | histRawsOccupancyVsSector->Divide(hNormOcc); |
57acd2d2 | 246 | histRawsNClustersPerEventVsSector->Scale(1.0/Float_t(eventCounter)); |
ce0175fa | 247 | histRawsQVsSector->Divide(hNormNclusters); |
248 | histRawsQmaxVsSector->Divide(hNormNclusters); | |
249 | delete hNormOcc; | |
250 | delete hNormNclusters; | |
251 | ||
252 | if(fBeautifyOption!=0) { | |
253 | // Help make the histogram easier to interpret for the DQM shifter | |
254 | ||
255 | histRawsOccupancyVsSector->ResetBit(AliQAv1::GetQABit()); | |
256 | histRawsQmaxVsSector->ResetBit(AliQAv1::GetQABit()); | |
257 | ||
258 | histRawsOccupancyVsSector->SetMinimum(0.0); | |
259 | if(histRawsOccupancyVsSector->GetMaximum()<1.5*fOccHighLimit) | |
260 | histRawsOccupancyVsSector->SetMaximum(1.5*fOccHighLimit); | |
261 | ||
262 | histRawsQmaxVsSector->SetMinimum(0.0); | |
263 | if(histRawsQmaxVsSector->GetMaximum()<1.5*fQmaxHighLimit) | |
264 | histRawsQmaxVsSector->SetMaximum(1.5*fQmaxHighLimit); | |
265 | ||
266 | Double_t xminOcc = histRawsOccupancyVsSector->GetXaxis()->GetXmin(); | |
267 | Double_t xmaxOcc = histRawsOccupancyVsSector->GetXaxis()->GetXmax(); | |
268 | Double_t yminOcc = histRawsOccupancyVsSector->GetMinimum(); | |
269 | Double_t ymaxOcc = histRawsOccupancyVsSector->GetMaximum(); | |
270 | ||
271 | Double_t xminQmax = histRawsQmaxVsSector->GetXaxis()->GetXmin(); | |
272 | Double_t xmaxQmax = histRawsQmaxVsSector->GetXaxis()->GetXmax(); | |
273 | Double_t yminQmax = histRawsQmaxVsSector->GetMinimum(); | |
274 | Double_t ymaxQmax = histRawsQmaxVsSector->GetMaximum(); | |
275 | ||
276 | TBox* boxOccOk = new TBox(xminOcc,0,xmaxOcc,fOccHighLimit); | |
277 | boxOccOk->SetFillColor(kGreen); | |
278 | histRawsOccupancyVsSector->GetListOfFunctions()->Add(boxOccOk); | |
279 | ||
280 | TBox* boxQmaxOk = new TBox(xminQmax,fQmaxLowLimit,xmaxQmax,fQmaxHighLimit); | |
281 | boxQmaxOk->SetFillColor(kGreen); | |
282 | histRawsQmaxVsSector->GetListOfFunctions()->Add(boxQmaxOk); | |
283 | ||
284 | ||
285 | for(Int_t bin = 1; bin <= 72; bin++) { | |
286 | ||
287 | if(histRawsOccupancyVsSector->GetBinContent(bin)<=0 || | |
288 | histRawsOccupancyVsSector->GetBinContent(bin)>fOccHighLimit) { | |
289 | ||
290 | histRawsOccupancyVsSector->SetBit(AliQAv1::GetQABit()); | |
291 | ||
292 | TBox* boxErr = | |
293 | new TBox(histRawsOccupancyVsSector->GetXaxis()->GetBinLowEdge(bin), yminOcc, | |
294 | histRawsOccupancyVsSector->GetXaxis()->GetBinUpEdge(bin), ymaxOcc); | |
295 | boxErr->SetFillColor(kRed); | |
296 | histRawsOccupancyVsSector->GetListOfFunctions()->Add(boxErr); | |
297 | } | |
298 | ||
299 | if(histRawsQmaxVsSector->GetBinContent(bin)<fQmaxLowLimit|| | |
300 | histRawsQmaxVsSector->GetBinContent(bin)>fQmaxHighLimit) { | |
301 | ||
302 | // Mark that histogram has error | |
303 | histRawsQmaxVsSector->SetBit(AliQAv1::GetQABit()); | |
304 | ||
305 | TBox* boxErr = | |
306 | new TBox(histRawsQmaxVsSector->GetXaxis()->GetBinLowEdge(bin), yminQmax, | |
307 | histRawsQmaxVsSector->GetXaxis()->GetBinUpEdge(bin), ymaxQmax); | |
308 | boxErr->SetFillColor(kRed); | |
309 | histRawsQmaxVsSector->GetListOfFunctions()->Add(boxErr); | |
310 | } | |
311 | } | |
312 | ||
313 | // Now we have to add a copy of the histograms to draw | |
314 | // because the boxes covers the data points | |
315 | TH1F* hOccCopy = new TH1F(*histRawsOccupancyVsSector); | |
316 | hOccCopy->SetOption("SAME P"); | |
317 | histRawsOccupancyVsSector->GetListOfFunctions()->Add(hOccCopy); | |
318 | ||
319 | TH1F* hQmaxCopy = new TH1F(*histRawsQmaxVsSector); | |
320 | hQmaxCopy->SetOption("SAME P"); | |
321 | histRawsQmaxVsSector->GetListOfFunctions()->Add(hQmaxCopy); | |
322 | ||
323 | } // end beautify | |
57acd2d2 | 324 | } |
c75bf2f1 | 325 | } |
44f32dd2 | 326 | } |
4e25ac79 | 327 | AliQAChecker::Instance()->Run(AliQAv1::kTPC, task, list) ; |
44f32dd2 | 328 | } |
329 | ||
ce0175fa | 330 | |
44f32dd2 | 331 | //____________________________________________________________________________ |
332 | void AliTPCQADataMakerRec::InitESDs() | |
333 | { | |
334 | //create ESDs histograms in ESDs subdir | |
7d297381 | 335 | const Bool_t expert = kTRUE ; |
336 | const Bool_t image = kTRUE ; | |
337 | ||
57acd2d2 | 338 | TH1F * histESDclusters = |
44f32dd2 | 339 | new TH1F("hESDclusters", "N TPC clusters per track; N clusters; Counts", |
340 | 160, 0, 160); | |
57acd2d2 | 341 | histESDclusters->Sumw2(); |
7d297381 | 342 | Add2ESDsList(histESDclusters, KClusters, !expert, image); |
44f32dd2 | 343 | |
57acd2d2 | 344 | TH1F * histESDratio = |
44f32dd2 | 345 | new TH1F("hESDratio", "Ratio: TPC clusters / findable; Ratio: cluster/findable; Counts", |
346 | 100, 0, 1); | |
57acd2d2 | 347 | histESDratio->Sumw2(); |
7d297381 | 348 | Add2ESDsList(histESDratio, kRatio, !expert, image); |
44f32dd2 | 349 | |
57acd2d2 | 350 | TH1F * histESDpt = |
44f32dd2 | 351 | new TH1F("hESDpt", "P_{T} distribution; p_{T} [GeV/c]; Counts", |
352 | 50, 0, 5); | |
57acd2d2 | 353 | histESDpt->Sumw2(); |
7d297381 | 354 | Add2ESDsList(histESDpt, kPt, !expert, image); |
ce0175fa | 355 | |
356 | // This means we are not running DQM so do not beautify | |
357 | SetBeautifyOption(0); | |
44f32dd2 | 358 | } |
359 | ||
360 | //____________________________________________________________________________ | |
361 | void AliTPCQADataMakerRec::InitRaws() | |
362 | { | |
336156cc | 363 | // |
364 | // Adding the raw | |
be4f1702 | 365 | // |
366 | ||
367 | // Modified: 7/7 - 2008 | |
368 | // Laurent Aphecetche pointed out that the mapping was read from file | |
369 | // for each event, so now we read in the map here and set if for | |
370 | // the raw data qa | |
7d297381 | 371 | const Bool_t expert = kTRUE ; |
372 | const Bool_t saveCorr = kTRUE ; | |
373 | const Bool_t image = kTRUE ; | |
374 | ||
57acd2d2 | 375 | for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) { |
ce0175fa | 376 | |
377 | // It might happen that we will be in this method a few times because | |
378 | // we create all dataQAs at the first call to this method | |
379 | if(fTPCdataQA[specie]!=0) // data QA already created | |
380 | continue; | |
5e232cd6 | 381 | fTPCdataQA[specie] = new AliTPCdataQA(AliRecoParam::ConvertIndex(specie)); |
57acd2d2 | 382 | LoadMaps(); // Load Altro maps |
383 | fTPCdataQA[specie]->SetAltroMapping(fMapping); // set Altro mapping | |
384 | fTPCdataQA[specie]->SetRangeTime(100, 920); // set time bin interval | |
7d297381 | 385 | // Add2RawsList(fTPCdataQA, kTPCdataQ, !expert, image, !saveCorrA); // This is used by the AMORE monitoring <------- THIS WILL FAIL (YS) |
57acd2d2 | 386 | } |
be4f1702 | 387 | |
57acd2d2 | 388 | TH1F * histRawsOccupancy = |
adcdb395 | 389 | new TH1F("hRawsOccupancy", "Occupancy (all pads); Occupancy; Counts", |
390 | 100, 0, 1); | |
57acd2d2 | 391 | histRawsOccupancy->Sumw2(); |
556a0e5b | 392 | Add2RawsList(histRawsOccupancy, kRawsOccupancy, expert, !image, !saveCorr); |
57acd2d2 | 393 | |
394 | TH1F * histRawsOccupancyVsSector = | |
adcdb395 | 395 | new TH1F("hRawsOccupancyVsSector", "Occupancy vs sector; Sector; Occupancy", |
396 | 72, 0, 72); | |
57acd2d2 | 397 | histRawsOccupancyVsSector->Sumw2(); |
ce0175fa | 398 | histRawsOccupancyVsSector->SetMarkerStyle(20); |
399 | histRawsOccupancyVsSector->SetOption("P"); | |
400 | histRawsOccupancyVsSector->SetStats(kFALSE); | |
401 | Add2RawsList(histRawsOccupancyVsSector, kRawsOccupancyVsSector, !expert, image, !saveCorr); | |
adcdb395 | 402 | |
57acd2d2 | 403 | TH1F * histRawsNClustersPerEventVsSector = |
adcdb395 | 404 | new TH1F("hRawsNClustersPerEventVsSector", "Nclusters per event vs sector; Sector; Nclusters per event", |
405 | 72, 0, 72); | |
57acd2d2 | 406 | histRawsNClustersPerEventVsSector->Sumw2(); |
556a0e5b | 407 | Add2RawsList(histRawsNClustersPerEventVsSector, kRawsNClustersPerEventVsSector, expert, !image, !saveCorr); |
adcdb395 | 408 | |
57acd2d2 | 409 | TH1F * histRawsQVsSector = |
ce0175fa | 410 | new TH1F("hRawsQVsSector", "<Q> vs sector; Sector; <Q>", |
411 | 72, 0, 72); | |
57acd2d2 | 412 | histRawsQVsSector->Sumw2(); |
556a0e5b | 413 | Add2RawsList(histRawsQVsSector, kRawsQVsSector, expert, !image, !saveCorr); |
adcdb395 | 414 | |
57acd2d2 | 415 | TH1F * histRawsQmaxVsSector = |
ce0175fa | 416 | new TH1F("hRawsQmaxVsSector", "<Qmax> vs sector; Sector; <Qmax>", |
417 | 72, 0, 72); | |
57acd2d2 | 418 | histRawsQmaxVsSector->Sumw2(); |
ce0175fa | 419 | histRawsQmaxVsSector->SetMarkerStyle(20); |
420 | histRawsQmaxVsSector->SetOption("P"); | |
421 | histRawsQmaxVsSector->SetStats(kFALSE); | |
422 | Add2RawsList(histRawsQmaxVsSector, kRawsQmaxVsSector, !expert, image, !saveCorr); | |
423 | ||
424 | // Get histogram information from data QA to build copy | |
425 | TH1F* hOccHelp = fTPCdataQA[0]->GetHistOccupancyVsEvent(); | |
426 | TH1F * histRawsOccupancyVsEvent = | |
427 | new TH1F("hRawsOccupancyVsEvent", hOccHelp->GetTitle(), | |
428 | hOccHelp->GetXaxis()->GetNbins(), | |
429 | hOccHelp->GetXaxis()->GetXmin(), hOccHelp->GetXaxis()->GetXmax()); | |
556a0e5b | 430 | histRawsOccupancyVsEvent->GetXaxis()->SetTitle(hOccHelp->GetXaxis()->GetTitle()); |
431 | histRawsOccupancyVsEvent->GetYaxis()->SetTitle(hOccHelp->GetYaxis()->GetTitle()); | |
ce0175fa | 432 | histRawsOccupancyVsEvent->SetMarkerStyle(20); |
433 | histRawsOccupancyVsEvent->SetOption("P"); | |
434 | histRawsOccupancyVsEvent->SetStats(kFALSE); | |
435 | Add2RawsList(histRawsOccupancyVsEvent, kRawsOccupancyVsEvent, !expert, image, !saveCorr); | |
436 | ||
437 | // Get histogram information from data QA to build copy | |
438 | TH1F* hNclHelp = fTPCdataQA[0]->GetHistNclustersVsEvent(); | |
439 | TH1F * histRawsNclustersVsEvent = | |
440 | new TH1F("hRawsNclustersVsEvent", hNclHelp->GetTitle(), | |
441 | hNclHelp->GetXaxis()->GetNbins(), | |
442 | hNclHelp->GetXaxis()->GetXmin(), hNclHelp->GetXaxis()->GetXmax()); | |
556a0e5b | 443 | histRawsNclustersVsEvent->GetXaxis()->SetTitle(hNclHelp->GetXaxis()->GetTitle()); |
444 | histRawsNclustersVsEvent->GetYaxis()->SetTitle(hNclHelp->GetYaxis()->GetTitle()); | |
ce0175fa | 445 | histRawsNclustersVsEvent->SetMarkerStyle(20); |
446 | histRawsNclustersVsEvent->SetOption("P"); | |
447 | histRawsNclustersVsEvent->SetStats(kFALSE); | |
448 | Add2RawsList(histRawsNclustersVsEvent, kRawsNclustersVsEvent, !expert, image, !saveCorr); | |
44f32dd2 | 449 | } |
450 | ||
44ed7a66 | 451 | //____________________________________________________________________________ |
452 | void AliTPCQADataMakerRec::InitDigits() | |
453 | { | |
454 | const Bool_t expert = kTRUE ; | |
455 | const Bool_t image = kTRUE ; | |
456 | TH1F * histDigitsADC = | |
457 | new TH1F("hDigitsADC", "Digit ADC distribution; ADC; Counts", | |
458 | 1000, 0, 1000); | |
459 | histDigitsADC->Sumw2(); | |
460 | Add2DigitsList(histDigitsADC, kDigitsADC, !expert, image); | |
ce0175fa | 461 | |
462 | // This means we are not running DQM so do not beautify | |
463 | SetBeautifyOption(0); | |
44ed7a66 | 464 | } |
465 | ||
44f32dd2 | 466 | //____________________________________________________________________________ |
467 | void AliTPCQADataMakerRec::InitRecPoints() | |
468 | { | |
7d297381 | 469 | const Bool_t expert = kTRUE ; |
470 | const Bool_t image = kTRUE ; | |
471 | ||
57acd2d2 | 472 | TH1F * histRecPointsQmaxShort = |
44f32dd2 | 473 | new TH1F("hRecPointsQmaxShort", "Qmax distrbution (short pads); Qmax; Counts", |
adcdb395 | 474 | 100, 0, 300); |
57acd2d2 | 475 | histRecPointsQmaxShort->Sumw2(); |
7d297381 | 476 | Add2RecPointsList(histRecPointsQmaxShort, kQmaxShort, !expert, image); |
44f32dd2 | 477 | |
57acd2d2 | 478 | TH1F * histRecPointsQmaxMedium = |
44f32dd2 | 479 | new TH1F("hRecPointsQmaxMedium", "Qmax distrbution (medium pads); Qmax; Counts", |
adcdb395 | 480 | 100, 0, 300); |
57acd2d2 | 481 | histRecPointsQmaxMedium->Sumw2(); |
7d297381 | 482 | Add2RecPointsList(histRecPointsQmaxMedium, kQmaxMedium, !expert, image); |
44f32dd2 | 483 | |
57acd2d2 | 484 | TH1F * histRecPointsQmaxLong = |
44f32dd2 | 485 | new TH1F("hRecPointsQmaxLong", "Qmax distrbution (long pads); Qmax; Counts", |
adcdb395 | 486 | 100, 0, 300); |
57acd2d2 | 487 | histRecPointsQmaxLong->Sumw2(); |
7d297381 | 488 | Add2RecPointsList(histRecPointsQmaxLong, kQmaxLong, !expert, image); |
44f32dd2 | 489 | |
57acd2d2 | 490 | TH1F * histRecPointsQShort = |
44f32dd2 | 491 | new TH1F("hRecPointsQShort", "Q distrbution (short pads); Q; Counts", |
adcdb395 | 492 | 100, 0, 2000); |
57acd2d2 | 493 | histRecPointsQShort->Sumw2(); |
7d297381 | 494 | Add2RecPointsList(histRecPointsQShort, kQShort, !expert, image); |
44f32dd2 | 495 | |
57acd2d2 | 496 | TH1F * histRecPointsQMedium = |
44f32dd2 | 497 | new TH1F("hRecPointsQMedium", "Q distrbution (medium pads); Q; Counts", |
adcdb395 | 498 | 100, 0, 2000); |
57acd2d2 | 499 | histRecPointsQMedium->Sumw2(); |
7d297381 | 500 | Add2RecPointsList(histRecPointsQMedium, kQMedium, !expert, image); |
44f32dd2 | 501 | |
57acd2d2 | 502 | TH1F * histRecPointsQLong = |
44f32dd2 | 503 | new TH1F("hRecPointsQLong", "Q distrbution (long pads); Q; Counts", |
adcdb395 | 504 | 100, 0, 2000); |
57acd2d2 | 505 | histRecPointsQLong->Sumw2(); |
7d297381 | 506 | Add2RecPointsList(histRecPointsQLong, kQLong, !expert, image); |
44f32dd2 | 507 | |
57acd2d2 | 508 | TH1F * histRecPointsRow = |
44f32dd2 | 509 | new TH1F("hRecPointsRow", "Clusters per row; Row; Counts", |
510 | 159, 0, 159); | |
57acd2d2 | 511 | histRecPointsRow->Sumw2(); |
7d297381 | 512 | Add2RecPointsList(histRecPointsRow, kRow, !expert, image); |
ce0175fa | 513 | |
514 | // This means we are not running DQM so do not beautify | |
515 | SetBeautifyOption(0); | |
44f32dd2 | 516 | } |
517 | ||
518 | //____________________________________________________________________________ | |
519 | void AliTPCQADataMakerRec::MakeESDs(AliESDEvent * esd) | |
520 | { | |
521 | // make QA data from ESDs | |
eca4fa66 | 522 | |
44f32dd2 | 523 | const Int_t nESDTracks = esd->GetNumberOfTracks(); |
524 | Int_t nTPCtracks = 0; | |
525 | for(Int_t i = 0; i < nESDTracks; i++) { | |
526 | ||
527 | AliESDtrack * track = esd->GetTrack(i); | |
528 | ||
529 | if ((track->GetStatus() & AliESDtrack::kTPCrefit)==0) | |
530 | continue; | |
531 | ||
532 | nTPCtracks++; | |
533 | ||
534 | Int_t nTPCclusters = track->GetTPCNcls(); | |
535 | Int_t nTPCclustersFindable = track->GetTPCNclsF(); | |
47a596d8 | 536 | if ( nTPCclustersFindable<=0) continue; |
57acd2d2 | 537 | GetESDsData(KClusters)->Fill(nTPCclusters); |
538 | GetESDsData(kRatio)->Fill(Float_t(nTPCclusters)/Float_t(nTPCclustersFindable)); | |
539 | GetESDsData(kPt)->Fill(track->Pt()); | |
44f32dd2 | 540 | } |
541 | } | |
542 | ||
543 | //____________________________________________________________________________ | |
544 | void AliTPCQADataMakerRec::MakeRaws(AliRawReader* rawReader) | |
545 | { | |
546 | // | |
547 | // To make QA for the RAW data we use the TPC Calibration framework | |
548 | // to handle the data and then in the end extract the data | |
549 | // | |
eca4fa66 | 550 | |
60f9f416 | 551 | GetRawsData(0); // dummy call to init raw data |
eca4fa66 | 552 | rawReader->Reset() ; |
6252ceeb | 553 | if (! fTPCdataQA[AliRecoParam::AConvert(fEventSpecie)] ) { |
554 | AliError("Something unexpected here!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!") ; | |
555 | } else { | |
556 | fTPCdataQA[AliRecoParam::AConvert(fEventSpecie)]->ProcessEvent(rawReader); | |
557 | } | |
558 | } | |
44f32dd2 | 559 | |
44ed7a66 | 560 | //____________________________________________________________________________ |
561 | void AliTPCQADataMakerRec::MakeDigits(TTree* digitTree) | |
562 | { | |
6252ceeb | 563 | |
44ed7a66 | 564 | TBranch* branch = digitTree->GetBranch("Segment"); |
565 | AliSimDigits* digArray = 0; | |
566 | branch->SetAddress(&digArray); | |
567 | ||
568 | Int_t nEntries = Int_t(digitTree->GetEntries()); | |
569 | ||
570 | for (Int_t n = 0; n < nEntries; n++) { | |
571 | ||
572 | digitTree->GetEvent(n); | |
573 | ||
574 | if (digArray->First()) | |
575 | do { | |
576 | Float_t dig = digArray->CurrentDigit(); | |
577 | ||
578 | GetDigitsData(kDigitsADC)->Fill(dig); | |
579 | } while (digArray->Next()); | |
580 | } | |
581 | } | |
582 | ||
44f32dd2 | 583 | //____________________________________________________________________________ |
584 | void AliTPCQADataMakerRec::MakeRecPoints(TTree* recTree) | |
585 | { | |
eca4fa66 | 586 | |
c75ba816 | 587 | AliTPCClustersRow clrow; |
588 | clrow.SetClass("AliTPCclusterMI"); | |
589 | clrow.SetArray(0); | |
590 | clrow.GetArray()->ExpandCreateFast(10000); | |
591 | AliTPCClustersRow * pclrow = &clrow; | |
44f32dd2 | 592 | TBranch* branch = recTree->GetBranch("Segment"); |
c75ba816 | 593 | |
594 | branch->SetAddress(&pclrow); | |
44f32dd2 | 595 | |
596 | const Int_t nEntries = Int_t(recTree->GetEntries()); | |
597 | for (Int_t i = 0; i < nEntries; i++) { | |
598 | ||
599 | branch->GetEntry(i); | |
600 | ||
c75ba816 | 601 | const Int_t nClusters = clrow.GetArray()->GetEntriesFast(); |
44f32dd2 | 602 | for (Int_t icl=0; icl < nClusters; icl++){ |
603 | ||
604 | AliTPCclusterMI* cluster = | |
c75ba816 | 605 | (AliTPCclusterMI*)clrow.GetArray()->At(icl); |
44f32dd2 | 606 | |
607 | Float_t Qmax = cluster->GetMax(); | |
608 | Float_t Q = cluster->GetQ(); | |
609 | Int_t row = cluster->GetRow(); | |
610 | ||
611 | if(cluster->GetDetector()<36) { // IROC (short pads) | |
612 | ||
57acd2d2 | 613 | GetRecPointsData(kQmaxShort)->Fill(Qmax); |
614 | GetRecPointsData(kQShort)->Fill(Q); | |
44f32dd2 | 615 | } else { // OROC (medium and long pads) |
616 | row += 63; | |
617 | if(cluster->GetRow()<64) { // medium pads | |
618 | ||
57acd2d2 | 619 | GetRecPointsData(kQmaxMedium)->Fill(Qmax); |
620 | GetRecPointsData(kQMedium)->Fill(Q); | |
44f32dd2 | 621 | } else { // long pads |
622 | ||
57acd2d2 | 623 | GetRecPointsData(kQmaxLong)->Fill(Qmax); |
624 | GetRecPointsData(kQLong)->Fill(Q); | |
44f32dd2 | 625 | } |
626 | } | |
627 | ||
57acd2d2 | 628 | GetRecPointsData(kRow)->Fill(row); |
44f32dd2 | 629 | } // end loop over clusters |
630 | } // end loop over tree | |
631 | ||
44f32dd2 | 632 | } |
be4f1702 | 633 | |
634 | //____________________________________________________________________________ | |
635 | void AliTPCQADataMakerRec::LoadMaps() | |
636 | { | |
637 | TString path = gSystem->Getenv("ALICE_ROOT"); | |
638 | path += "/TPC/mapping/Patch"; | |
639 | ||
640 | for(Int_t i = 0; i < 6; i++) { | |
ce0175fa | 641 | |
642 | if(fMapping[i]!=0) // mapping already loaded | |
643 | continue; | |
be4f1702 | 644 | TString path2 = path; |
645 | path2 += i; | |
646 | path2 += ".data"; | |
647 | fMapping[i] = new AliTPCAltroMapping(path2.Data()); | |
648 | } | |
649 | } | |
650 | ||
556a0e5b | 651 | //____________________________________________________________________________ |
652 | void AliTPCQADataMakerRec::ResetDetector() | |
653 | { | |
654 | // This method is only used for DQM. | |
655 | // The AliTPCdataQA elements that does the internal processing are | |
656 | // in the case they have processed data deleted and new are created | |
657 | ||
658 | for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) { | |
659 | ||
660 | if ( fTPCdataQA[specie] != NULL) { // exist | |
661 | ||
662 | if(fTPCdataQA[specie]->GetEventCounter()>0) { // has processed data | |
663 | ||
664 | // old configuration | |
665 | Int_t firstTime = fTPCdataQA[specie]->GetFirstTimeBin(); | |
666 | Int_t lastTime = fTPCdataQA[specie]->GetLastTimeBin(); | |
667 | Int_t minADC = fTPCdataQA[specie]->GetAdcMin(); | |
668 | Int_t maxADC = fTPCdataQA[specie]->GetAdcMax(); | |
669 | Int_t maxEvents = fTPCdataQA[specie]->GetMaxEvents(); | |
670 | Int_t eventsPerBin = fTPCdataQA[specie]->GetEventsPerBin(); | |
671 | ||
672 | //delete old | |
673 | delete fTPCdataQA[specie]; | |
674 | ||
675 | // create new | |
676 | fTPCdataQA[specie] = new AliTPCdataQA(AliRecoParam::ConvertIndex(specie)); | |
677 | // configure new | |
678 | LoadMaps(); // Load Altro maps | |
679 | fTPCdataQA[specie]->SetAltroMapping(fMapping); | |
680 | fTPCdataQA[specie]->SetRangeTime(firstTime, lastTime); | |
681 | fTPCdataQA[specie]->SetRangeAdc(minADC, maxADC); | |
682 | fTPCdataQA[specie]->SetMaxEvents(maxEvents); | |
683 | fTPCdataQA[specie]->SetEventsPerBin(eventsPerBin); | |
684 | } | |
685 | } | |
686 | } | |
687 | } |