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f6b58a9e | 1 | /**************************************************************************\r |
2 | * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *\r | |
3 | * *\r | |
4 | * Author: The ALICE Off-line Project. *\r | |
5 | * Contributors are mentioned in the code where appropriate. *\r | |
6 | * *\r | |
7 | * Permission to use, copy, modify and distribute this software and its *\r | |
8 | * documentation strictly for non-commercial purposes is hereby granted *\r | |
9 | * without fee, provided that the above copyright notice appears in all *\r | |
10 | * copies and that both the copyright notice and this permission notice *\r | |
11 | * appear in the supporting documentation. The authors make no claims *\r | |
12 | * about the suitability of this software for any purpose. It is *\r | |
13 | * provided "as is" without express or implied warranty. *\r | |
14 | **************************************************************************/\r | |
15 | \r | |
16 | \r | |
17 | //Root includes\r | |
18 | #include <TH1F.h>\r | |
19 | #include <TH1D.h>\r | |
20 | #include <TH2F.h>\r | |
21 | #include <TH3F.h>\r | |
22 | #include <TString.h>\r | |
23 | #include <TMath.h>\r | |
24 | #include <TF1.h>\r | |
25 | #include <TRandom.h>\r | |
26 | #include <TDirectory.h>\r | |
27 | #include <TFile.h>\r | |
28 | #include <TAxis.h>\r | |
29 | //AliRoot includes\r | |
30 | #include "AliRawReader.h"\r | |
31 | #include "AliRawReaderRoot.h"\r | |
32 | #include "AliRawReaderDate.h"\r | |
33 | #include "AliTPCRawStream.h"\r | |
34 | #include "AliTPCCalROC.h"\r | |
35 | #include "AliTPCCalPad.h"\r | |
36 | #include "AliTPCROC.h"\r | |
37 | #include "AliMathBase.h"\r | |
38 | #include "TTreeStream.h"\r | |
e04946db | 39 | //#include "AliTPCRawStreamFast.h"\r |
f6b58a9e | 40 | \r |
41 | //date\r | |
42 | #include "event.h"\r | |
43 | \r | |
44 | //header file\r | |
45 | #include "AliTPCCalibKr.h"\r | |
46 | \r | |
47 | //----------------------------------------------------------------------------\r | |
48 | // The AliTPCCalibKr class description (TPC Kr calibration).\r | |
49 | //\r | |
50 | //\r | |
51 | // The AliTPCCalibKr keeps the array of TH3F histograms (TPC_max_padraw,TPC_max_pad,TPC_ADC_cluster),\r | |
52 | // its data memebers and is filled by AliTPCCalibKrTask under conditions (Accept()). \r | |
53 | // \r | |
54 | // The ouput TH3F histograms are later used to determine the calibration parameters of TPC chambers.\r | |
55 | // These calculations are done by using AliTPCCalibKr::Analyse() function. The ouput calibration \r | |
56 | // parameters (details in AliTPCCalibKr::Analyse()) are stored in the calibKr.root file for each TPC pad.\r | |
57 | // In addition the debugCalibKr.root file with debug information is created.\r | |
58 | //\r | |
59 | \r | |
60 | /*\r | |
61 | \r | |
62 | // Usage example:\r | |
63 | //\r | |
64 | \r | |
65 | // 1. Analyse output histograms:\r | |
66 | TFile f("outHistFile.root");\r | |
9aaef63e | 67 | AliTPCCalibKr *obj = (AliTPCCalibKr*) cOutput.FindObject("AliTPCCalibKr");\r |
68 | obj->SetRadius(0,0);\r | |
69 | obj->SetStep(1,1);\r | |
f6b58a9e | 70 | obj->Analyse();\r |
71 | \r | |
72 | // 2. See calibration parameters e.g.:\r | |
73 | TFile f("calibKr.root");\r | |
74 | spectrMean->GetCalROC(70)->GetValue(40,40);\r | |
75 | fitMean->GetCalROC(70)->GetValue(40,40);\r | |
76 | \r | |
77 | // 3. See debug information e.g.:\r | |
78 | TFile f("debugCalibKr.root");\r | |
79 | .ls;\r | |
80 | \r | |
81 | // -- Print calibKr TTree content \r | |
82 | calibKr->Print();\r | |
83 | \r | |
84 | // -- Draw calibKr TTree variables\r | |
85 | calibKr.Draw("fitMean");\r | |
86 | \r | |
87 | */\r | |
88 | \r | |
89 | \r | |
90 | //\r | |
91 | // Author: Jacek Otwinowski (J.Otwinowski@gsi.de) and Stafan Geartner (S.Gaertner@gsi.de)\r | |
92 | //-----------------------------------------------------------------------------\r | |
93 | \r | |
94 | ClassImp(AliTPCCalibKr)\r | |
95 | \r | |
96 | AliTPCCalibKr::AliTPCCalibKr() : \r | |
97 | TObject(),\r | |
98 | fASide(kTRUE),\r | |
99 | fCSide(kTRUE),\r | |
100 | fHistoKrArray(72),\r | |
101 | fADCOverClustSizeMin(0.0),\r | |
102 | fADCOverClustSizeMax(1.0e9),\r | |
103 | fMaxADCOverClustADCMin(0.0),\r | |
104 | fMaxADCOverClustADCMax(1.0e9),\r | |
105 | fTimeMin(0.0),\r | |
106 | fTimeMax(1.0e9),\r | |
107 | fClustSizeMin(0.0),\r | |
108 | fClustSizeMax(1.0e9),\r | |
109 | fTimebinRmsIrocMin(0.0),\r | |
110 | fPadRmsIrocMin(0.0),\r | |
111 | fRowRmsIrocMin(0.0),\r | |
112 | fClusterPadSize1DIrocMax(200),\r | |
113 | fCurveCoefficientIroc(1.0e9),\r | |
114 | fTimebinRmsOrocMin(0.0),\r | |
115 | fPadRmsOrocMin(0.0),\r | |
116 | fRowRmsOrocMin(0.0),\r | |
117 | fClusterPadSize1DOrocMax(200),\r | |
9aaef63e | 118 | fCurveCoefficientOroc(1.0e9),\r |
119 | fIrocHistogramMin(100.),\r | |
120 | fIrocHistogramMax(6000.),\r | |
121 | fIrocHistogramNbins(200),\r | |
122 | fOrocHistogramMin(100.),\r | |
123 | fOrocHistogramMax(5500.),\r | |
124 | fOrocHistogramNbins(200),\r | |
125 | fRowRadius(0),\r | |
126 | fPadRadius(0),\r | |
127 | fRowStep(1),\r | |
128 | fPadStep(1)\r | |
129 | \r | |
f6b58a9e | 130 | {\r |
131 | //\r | |
132 | // default constructor\r | |
133 | //\r | |
134 | \r | |
135 | // TObjArray with histograms\r | |
136 | fHistoKrArray.SetOwner(kTRUE); // is owner of histograms\r | |
137 | fHistoKrArray.Clear();\r | |
138 | \r | |
139 | // init cuts (by Stefan)\r | |
140 | // SetADCOverClustSizeRange(7,200);\r | |
141 | // SetMaxADCOverClustADCRange(0.01,0.4);\r | |
142 | // SetTimeRange(200,600);\r | |
143 | // SetClustSizeRange(6,200);\r | |
144 | \r | |
145 | //init cuts (by Adam)\r | |
146 | SetTimebinRmsMin(1.6,0.8);\r | |
147 | SetPadRmsMin(0.825,0.55);\r | |
148 | SetRowRmsMin(0.1,0.1);\r | |
149 | SetClusterPadSize1DMax(15,11);\r | |
150 | SetCurveCoefficient(1.,2.);\r | |
151 | \r | |
9aaef63e | 152 | //set histograms settings\r |
153 | SetIrocHistogram(200,100,6000);\r | |
154 | SetOrocHistogram(200,100,5500);\r | |
155 | \r | |
f6b58a9e | 156 | // init histograms\r |
9aaef63e | 157 | //Init();\r |
f6b58a9e | 158 | }\r |
159 | \r | |
160 | //_____________________________________________________________________\r | |
161 | AliTPCCalibKr::AliTPCCalibKr(const AliTPCCalibKr& pad) : \r | |
162 | TObject(pad),\r | |
163 | \r | |
164 | fASide(pad.fASide),\r | |
165 | fCSide(pad.fCSide),\r | |
166 | fHistoKrArray(72),\r | |
167 | fADCOverClustSizeMin(pad.fADCOverClustSizeMin),\r | |
168 | fADCOverClustSizeMax(pad.fADCOverClustSizeMax),\r | |
169 | fMaxADCOverClustADCMin(pad.fMaxADCOverClustADCMin),\r | |
170 | fMaxADCOverClustADCMax(pad.fMaxADCOverClustADCMax),\r | |
171 | fTimeMin(pad.fTimeMin),\r | |
172 | fTimeMax(pad.fTimeMax),\r | |
173 | fClustSizeMin(pad.fClustSizeMin),\r | |
174 | fClustSizeMax(pad.fClustSizeMax),\r | |
175 | fTimebinRmsIrocMin(pad.fTimebinRmsIrocMin),\r | |
176 | fPadRmsIrocMin(pad.fPadRmsIrocMin),\r | |
177 | fRowRmsIrocMin(pad.fRowRmsIrocMin),\r | |
178 | fClusterPadSize1DIrocMax(pad.fClusterPadSize1DIrocMax),\r | |
179 | fCurveCoefficientIroc(pad.fCurveCoefficientIroc),\r | |
180 | fTimebinRmsOrocMin(pad.fTimebinRmsOrocMin),\r | |
181 | fPadRmsOrocMin(pad.fPadRmsOrocMin),\r | |
182 | fRowRmsOrocMin(pad.fRowRmsOrocMin),\r | |
183 | fClusterPadSize1DOrocMax(pad.fClusterPadSize1DOrocMax),\r | |
9aaef63e | 184 | fCurveCoefficientOroc(pad.fCurveCoefficientOroc),\r |
185 | fIrocHistogramMin(pad.fIrocHistogramMin),\r | |
186 | fIrocHistogramMax(pad.fIrocHistogramMax),\r | |
187 | fIrocHistogramNbins(pad.fIrocHistogramNbins),\r | |
188 | fOrocHistogramMin(pad.fOrocHistogramMin),\r | |
189 | fOrocHistogramMax(pad.fOrocHistogramMax),\r | |
190 | fOrocHistogramNbins(pad.fOrocHistogramNbins),\r | |
191 | fRowRadius(pad.fRowRadius),\r | |
192 | fPadRadius(pad.fPadRadius),\r | |
193 | fRowStep(pad.fRowStep),\r | |
194 | fPadStep(pad.fPadStep)\r | |
195 | \r | |
f6b58a9e | 196 | {\r |
197 | // copy constructor\r | |
198 | \r | |
199 | // TObjArray with histograms\r | |
200 | fHistoKrArray.SetOwner(kTRUE); // is owner of histograms\r | |
201 | fHistoKrArray.Clear();\r | |
202 | \r | |
203 | for (Int_t iSec = 0; iSec < 72; ++iSec) \r | |
204 | {\r | |
205 | TH3F *hOld = pad.GetHistoKr(iSec);\r | |
206 | if(hOld) {\r | |
207 | TH3F *hNew = new TH3F( *pad.GetHistoKr(iSec) ); \r | |
208 | fHistoKrArray.AddAt(hNew,iSec);\r | |
209 | }\r | |
210 | }\r | |
211 | }\r | |
212 | \r | |
213 | //_____________________________________________________________________\r | |
214 | AliTPCCalibKr::~AliTPCCalibKr() \r | |
215 | {\r | |
216 | //\r | |
217 | // destructor\r | |
218 | //\r | |
219 | \r | |
220 | // for (Int_t iSec = 0; iSec < 72; ++iSec) {\r | |
221 | // if (fHistoKrArray.At(iSec)) delete fHistoKrArray.RemoveAt(iSec);\r | |
222 | // }\r | |
223 | fHistoKrArray.Delete();\r | |
224 | }\r | |
225 | \r | |
226 | //_____________________________________________________________________\r | |
227 | AliTPCCalibKr& AliTPCCalibKr::operator = (const AliTPCCalibKr &source)\r | |
228 | {\r | |
229 | // assignment operator\r | |
230 | \r | |
231 | if (&source == this) return *this;\r | |
232 | new (this) AliTPCCalibKr(source);\r | |
233 | \r | |
234 | return *this;\r | |
235 | }\r | |
236 | \r | |
237 | //_____________________________________________________________________\r | |
238 | void AliTPCCalibKr::Init()\r | |
239 | {\r | |
240 | // \r | |
241 | // init output histograms \r | |
242 | //\r | |
243 | \r | |
244 | // add histograms to the TObjArray\r | |
245 | for(Int_t i=0; i<72; ++i) {\r | |
246 | \r | |
9aaef63e | 247 | // C - side\r |
248 | if(IsCSide(i) == kTRUE && fCSide == kTRUE) {\r | |
f6b58a9e | 249 | TH3F *hist = CreateHisto(i);\r |
250 | if(hist) fHistoKrArray.AddAt(hist,i);\r | |
9aaef63e | 251 | }\r |
f6b58a9e | 252 | \r |
9aaef63e | 253 | // A - side\r |
254 | if(IsCSide(i) == kFALSE && fASide == kTRUE) {\r | |
f6b58a9e | 255 | TH3F *hist = CreateHisto(i);\r |
256 | if(hist) fHistoKrArray.AddAt(hist,i);\r | |
9aaef63e | 257 | }\r |
f6b58a9e | 258 | }\r |
259 | }\r | |
260 | \r | |
261 | //_____________________________________________________________________\r | |
262 | Bool_t AliTPCCalibKr::Process(AliTPCclusterKr *cluster)\r | |
263 | {\r | |
264 | //\r | |
265 | // process events \r | |
266 | // call event by event\r | |
267 | //\r | |
268 | \r | |
269 | if(cluster) Update(cluster);\r | |
270 | else return kFALSE;\r | |
271 | \r | |
272 | return kTRUE;\r | |
273 | }\r | |
274 | \r | |
275 | //_____________________________________________________________________\r | |
276 | TH3F* AliTPCCalibKr::CreateHisto(Int_t chamber)\r | |
277 | {\r | |
278 | //\r | |
279 | // create new histogram\r | |
280 | //\r | |
281 | char name[256];\r | |
282 | TH3F *h;\r | |
283 | \r | |
9f87757e | 284 | snprintf(name,256,"ADCcluster_ch%d",chamber);\r |
f6b58a9e | 285 | \r |
286 | if( IsIROC(chamber) == kTRUE ) \r | |
287 | {\r | |
9aaef63e | 288 | h = new TH3F(name,name,63,0,63,108,0,108,fIrocHistogramNbins,fIrocHistogramMin,fIrocHistogramMax);\r |
f6b58a9e | 289 | } else {\r |
9aaef63e | 290 | h = new TH3F(name,name,96,0,96,140,0,140,fOrocHistogramNbins,fOrocHistogramMin,fOrocHistogramMax);\r |
f6b58a9e | 291 | }\r |
292 | h->SetXTitle("padrow");\r | |
293 | h->SetYTitle("pad");\r | |
294 | h->SetZTitle("fADC");\r | |
295 | \r | |
296 | return h;\r | |
297 | }\r | |
298 | \r | |
299 | //_____________________________________________________________________\r | |
300 | Bool_t AliTPCCalibKr::IsIROC(Int_t chamber)\r | |
301 | {\r | |
302 | // check if IROCs\r | |
303 | // returns kTRUE if IROCs and kFALSE if OROCs \r | |
304 | \r | |
305 | if(chamber>=0 && chamber<36) return kTRUE;\r | |
306 | \r | |
307 | return kFALSE;\r | |
308 | }\r | |
309 | \r | |
310 | //_____________________________________________________________________\r | |
311 | Bool_t AliTPCCalibKr::IsCSide(Int_t chamber)\r | |
312 | {\r | |
313 | // check if C side\r | |
314 | // returns kTRUE if C side and kFALSE if A side\r | |
315 | \r | |
316 | if((chamber>=18 && chamber<36) || (chamber>=54 && chamber<72)) return kTRUE;\r | |
317 | \r | |
318 | return kFALSE;\r | |
319 | }\r | |
320 | \r | |
321 | //_____________________________________________________________________\r | |
322 | Bool_t AliTPCCalibKr::Update(AliTPCclusterKr *cl)\r | |
323 | {\r | |
324 | //\r | |
325 | // fill existing histograms\r | |
326 | //\r | |
327 | \r | |
328 | if (!Accept(cl)) return kFALSE;\r | |
329 | TH3F *h = (TH3F*)fHistoKrArray.At(cl->GetSec());\r | |
330 | if(!h) return kFALSE;\r | |
331 | \r | |
332 | h->Fill(cl->GetMax().GetRow(),cl->GetMax().GetPad(),cl->GetADCcluster());\r | |
333 | \r | |
334 | return kTRUE;\r | |
335 | }\r | |
336 | \r | |
337 | //_____________________________________________________________________\r | |
338 | Bool_t AliTPCCalibKr::Accept(AliTPCclusterKr *cl){\r | |
339 | //\r | |
340 | // cuts\r | |
341 | //\r | |
342 | /*\r | |
343 | TCut cutR0("cutR0","fADCcluster/fSize<200"); // adjust it according v seetings - \r | |
344 | TCut cutR1("cutR1","fADCcluster/fSize>7"); // cosmic tracks and noise removal\r | |
345 | TCut cutR2("cutR2","fMax.fAdc/fADCcluster<0.4"); // digital noise removal\r | |
346 | TCut cutR3("cutR3","fMax.fAdc/fADCcluster>0.01"); // noise removal\r | |
347 | TCut cutR4("cutR4","fMax.fTime>200"); // noise removal\r | |
348 | TCut cutR5("cutR5","fMax.fTime<600"); // noise removal\r | |
349 | TCut cutS1("cutS1","fSize<200"); // adjust it according v seetings - cosmic tracks\r | |
350 | TCut cutAll = cutR0+cutR1+cutR2+cutR3+cutR4+cutR5+cutS1;\r | |
351 | */\r | |
352 | /*\r | |
353 | //R0\r | |
354 | if ((float)cl->GetADCcluster()/ cl->GetSize() >200) return kFALSE;\r | |
355 | // R1\r | |
356 | if ((float)cl->GetADCcluster()/ cl->GetSize() <7) return kFALSE;\r | |
357 | //R2\r | |
358 | if ((float)cl->GetMax().GetAdc()/ cl->GetADCcluster() >0.4) return kFALSE;\r | |
359 | //R3\r | |
360 | if ((float)cl->GetMax().GetAdc()/ cl->GetADCcluster() <0.01) return kFALSE;\r | |
361 | //R4\r | |
362 | if (cl->GetMax().GetTime() < 200) return kFALSE;\r | |
363 | //R5\r | |
364 | if (cl->GetMax().GetTime() > 600) return kFALSE;\r | |
365 | //S1\r | |
366 | if (cl->GetSize()>200) return kFALSE;\r | |
367 | if (cl->GetSize()<6) return kFALSE;\r | |
368 | \r | |
369 | SetADCOverClustSizeRange(7,200);\r | |
370 | SetMaxADCOverClustADCRange(0.01,0.4);\r | |
371 | SetTimeRange(200,600);\r | |
372 | SetClustSizeRange(6,200);\r | |
373 | */\r | |
374 | \r | |
375 | //R0\r | |
376 | if ((float)cl->GetADCcluster()/ cl->GetSize() >fADCOverClustSizeMax) return kFALSE;\r | |
377 | // R1\r | |
378 | if ((float)cl->GetADCcluster()/ cl->GetSize() <fADCOverClustSizeMin) return kFALSE;\r | |
379 | //R2\r | |
380 | if ((float)cl->GetMax().GetAdc()/ cl->GetADCcluster() >fMaxADCOverClustADCMax) return kFALSE;\r | |
381 | //R3\r | |
382 | if ((float)cl->GetMax().GetAdc()/ cl->GetADCcluster() <fMaxADCOverClustADCMin) return kFALSE;\r | |
383 | //R4\r | |
384 | if (cl->GetMax().GetTime() > fTimeMax) return kFALSE;\r | |
385 | //R5\r | |
386 | if (cl->GetMax().GetTime() < fTimeMin) return kFALSE;\r | |
387 | //S1\r | |
388 | if (cl->GetSize()>fClustSizeMax) return kFALSE;\r | |
389 | if (cl->GetSize()<fClustSizeMin) return kFALSE;\r | |
390 | \r | |
391 | //\r | |
392 | // cuts by Adam\r | |
393 | //\r | |
394 | /*\r | |
395 | TCut cutAI0("cutAI0","fTimebinRMS>1.6");\r | |
396 | TCut cutAI1("cutAI1","fPadRMS>0.825"); \r | |
397 | TCut cutAI2("cutAI2","fRowRMS>0.1"); \r | |
398 | TCut cutAI3("cutAI3","fPads1D<15"); \r | |
399 | TCut cutAI4("cutAI4","fTimebinRMS+11.9-2.15*TMath::Log(1.*fADCcluster)<0"); \r | |
400 | \r | |
401 | TCut cutAIAll = cutAI0+cutAI1+cutAI2+cutAI3+cutAI4;\r | |
402 | \r | |
403 | TCut cutAO0("cutAO0","fTimebinRMS>0.8");\r | |
404 | TCut cutAO1("cutAO1","fPadRMS>0.55"); \r | |
405 | TCut cutAO2("cutAO2","fRowRMS>0.1"); \r | |
406 | TCut cutAO3("cutAO3","fPads1D<11"); \r | |
407 | TCut cutAO4("cutAO4","fTimebinRMS+11.9-2.15*TMath::Log(2.*fADCcluster)<0"); \r | |
408 | \r | |
409 | TCut cutAOAll = cutAO0+cutAO1+cutAO2+cutAO3+cutAO4;\r | |
410 | TCut cutAll("cutAll","(fSec<36&&cutAIAll)||(fSec>=36&&cutAOAll)");\r | |
411 | \r | |
412 | */\r | |
413 | if(cl->GetSec()<36){ //IROCs\r | |
414 | //AI0\r | |
415 | if((float)cl->GetTimebinRMS() <= fTimebinRmsIrocMin) return kFALSE;\r | |
416 | //AI1\r | |
417 | if((float)cl->GetPadRMS() <= fPadRmsIrocMin) return kFALSE;\r | |
418 | //AI2\r | |
419 | if((float)cl->GetRowRMS() <= fRowRmsIrocMin) return kFALSE;\r | |
420 | //AI3\r | |
421 | if(cl->GetPads1D() >= fClusterPadSize1DIrocMax) return kFALSE;\r | |
422 | //AI4\r | |
423 | if((float)cl->GetTimebinRMS()+11.9-2.15*TMath::Log(fCurveCoefficientIroc*(float)cl->GetADCcluster()) >= 0) return kFALSE;\r | |
424 | }else{ //OROCs\r | |
425 | //AO0\r | |
426 | if((float)cl->GetTimebinRMS() <= fTimebinRmsOrocMin) return kFALSE;\r | |
427 | //AO1\r | |
428 | if((float)cl->GetPadRMS() <= fPadRmsOrocMin) return kFALSE;\r | |
429 | //AO2\r | |
430 | if((float)cl->GetRowRMS() <= fRowRmsOrocMin) return kFALSE;\r | |
431 | //AO3\r | |
432 | if(cl->GetPads1D() >= fClusterPadSize1DOrocMax) return kFALSE;\r | |
433 | //AO4\r | |
434 | if((float)cl->GetTimebinRMS()+11.9-2.15*TMath::Log(fCurveCoefficientOroc*(float)cl->GetADCcluster()) >= 0) return kFALSE;\r | |
435 | }\r | |
436 | \r | |
437 | return kTRUE;\r | |
438 | \r | |
439 | }\r | |
440 | \r | |
441 | //_____________________________________________________________________\r | |
442 | TH3F* AliTPCCalibKr::GetHistoKr(Int_t chamber) const\r | |
443 | {\r | |
444 | // get histograms from fHistoKrArray\r | |
445 | return (TH3F*) fHistoKrArray.At(chamber);\r | |
446 | }\r | |
447 | \r | |
448 | //_____________________________________________________________________\r | |
449 | void AliTPCCalibKr::Analyse() \r | |
450 | {\r | |
451 | //\r | |
452 | // analyse the histograms and extract krypton calibration parameters\r | |
453 | //\r | |
454 | \r | |
455 | // AliTPCCalPads that will contain the calibration parameters\r | |
456 | AliTPCCalPad* spectrMeanCalPad = new AliTPCCalPad("spectrMean", "spectrMean");\r | |
457 | AliTPCCalPad* spectrRMSCalPad = new AliTPCCalPad("spectrRMS", "spectrRMS");\r | |
458 | AliTPCCalPad* fitMeanCalPad = new AliTPCCalPad("fitMean", "fitMean");\r | |
459 | AliTPCCalPad* fitRMSCalPad = new AliTPCCalPad("fitRMS", "fitRMS");\r | |
460 | AliTPCCalPad* fitNormChi2CalPad = new AliTPCCalPad("fitNormChi2", "fitNormChi2");\r | |
461 | AliTPCCalPad* entriesCalPad = new AliTPCCalPad("entries", "entries");\r | |
462 | \r | |
463 | // file stream for debugging purposes\r | |
464 | TTreeSRedirector* debugStream = new TTreeSRedirector("debugCalibKr.root");\r | |
465 | \r | |
466 | // if entries in spectrum less than minEntries, then the fit won't be performed\r | |
467 | Int_t minEntries = 1; //300;\r | |
468 | \r | |
469 | Double_t windowFrac = 0.12;\r | |
470 | // the 3d histogram will be projected on the pads given by the following window size\r | |
471 | // set the numbers to 0 if you want to do a pad-by-pad calibration\r | |
9aaef63e | 472 | UInt_t rowRadius = fRowRadius;//4;\r |
473 | UInt_t padRadius = fPadRadius;//4;\r | |
f6b58a9e | 474 | \r |
475 | // the step size by which pad and row are incremented is given by the following numbers\r | |
476 | // set them to 1 if you want the finest granularity\r | |
9aaef63e | 477 | UInt_t rowStep = fRowStep;//1;//2 // formerly: 2*rowRadius\r |
478 | UInt_t padStep = fPadStep;//1;//4 // formerly: 2*padRadius\r | |
f6b58a9e | 479 | \r |
480 | for (Int_t chamber = 0; chamber < 72; chamber++) {\r | |
481 | //if (chamber != 71) continue;\r | |
482 | AliTPCCalROC roc(chamber); // I need this only for GetNrows() and GetNPads()\r | |
483 | \r | |
484 | // Usually I would traverse each pad, take the spectrum for its neighbourhood and\r | |
485 | // obtain the calibration parameters. This takes very long, so instead I assign the same\r | |
486 | // calibration values to the whole neighbourhood and then go on to the next neighbourhood.\r | |
487 | UInt_t nRows = roc.GetNrows();\r | |
488 | for (UInt_t iRow = 0; iRow < nRows; iRow += rowStep) {\r | |
489 | UInt_t nPads = roc.GetNPads(iRow);\r | |
490 | //if (iRow >= 10) break;\r | |
491 | for (UInt_t iPad = 0; iPad < nPads; iPad += padStep) {\r | |
492 | //if (iPad >= 20) break;\r | |
493 | TH3F* h = GetHistoKr(chamber);\r | |
494 | if (!h) continue;\r | |
495 | \r | |
496 | // the 3d histogram will be projected on the pads given by the following bounds\r | |
497 | // for rows and pads\r | |
498 | Int_t rowLow = iRow - rowRadius;\r | |
9aaef63e | 499 | UInt_t rowUp = iRow + rowRadius + rowStep-1;\r |
f6b58a9e | 500 | Int_t padLow = iPad - padRadius;\r |
9aaef63e | 501 | UInt_t padUp = iPad + padRadius + padStep-1;\r |
f6b58a9e | 502 | // if window goes out of chamber\r |
503 | if (rowLow < 0) rowLow = 0;\r | |
504 | if (rowUp >= nRows) rowUp = nRows - 1;\r | |
505 | if (padLow < 0) padLow = 0;\r | |
506 | if (padUp >= nPads) padUp = nPads - 1;\r | |
507 | \r | |
508 | // project the histogram\r | |
9aaef63e | 509 | //TH1D* projH = h->ProjectionZ("projH", rowLow+1, rowUp+1, padLow+1, padUp+1); // SLOW\r |
510 | TH1D* projH = ProjectHisto(h, "projH", rowLow+1, rowUp+1, padLow+1, padUp+1);\r | |
f6b58a9e | 511 | \r |
512 | // get the number of entries in the spectrum\r | |
513 | Double_t entries = projH->GetEntries();\r | |
514 | if (entries < minEntries) { delete projH; continue; }\r | |
515 | \r | |
516 | // get the two calibration parameters mean of spectrum and RMS of spectrum\r | |
517 | Double_t histMean = projH->GetMean();\r | |
518 | Double_t histRMS = (histMean != 0) ? projH->GetRMS() / histMean : 0.;\r | |
519 | \r | |
520 | // find maximum in spectrum to define a range (given by windowFrac) for which a Gauss is fitted\r | |
521 | Double_t maxEntries = projH->GetBinCenter(projH->GetMaximumBin());\r | |
522 | Int_t minBin = projH->FindBin((1.-windowFrac) * maxEntries);\r | |
523 | Int_t maxBin = projH->FindBin((1.+windowFrac) * maxEntries);\r | |
524 | Double_t integCharge = projH->Integral(minBin,maxBin); \r | |
525 | \r | |
526 | Int_t fitResult = projH->Fit("gaus", "Q0", "", (1.-windowFrac) * maxEntries, (1.+windowFrac) * maxEntries);\r | |
527 | \r | |
528 | if (fitResult != 0) {\r | |
529 | Error("Analyse", "Error while fitting spectrum for chamber %i, rows %i - %i, pads %i - %i, integrated charge %f.", chamber, rowLow, rowUp, padLow, padUp, integCharge);\r | |
530 | //printf("[ch%i r%i, p%i] entries = %f, maxEntries = %f, %f\n", chamber, iRow, iPad, entries, maxEntries);\r | |
531 | \r | |
532 | delete projH;\r | |
533 | continue;\r | |
534 | }\r | |
535 | \r | |
536 | // get the two calibration parameters mean of gauss fit and sigma of gauss fit\r | |
537 | TF1* gausFit = projH->GetFunction("gaus");\r | |
538 | Double_t fitMean = gausFit->GetParameter(1);\r | |
539 | Double_t fitRMS = gausFit->GetParameter(2);\r | |
540 | Int_t numberFitPoints = gausFit->GetNumberFitPoints();\r | |
541 | if (numberFitPoints == 0) continue;\r | |
542 | Double_t fitNormChi2 = gausFit->GetChisquare() / numberFitPoints;\r | |
543 | delete gausFit;\r | |
544 | delete projH;\r | |
545 | if (fitMean <= 0) continue;\r | |
546 | //printf("[ch%i r%i, p%i] entries = %f, maxEntries = %f, fitMean = %f, fitRMS = %f\n", chamber, iRow, iPad, entries, maxEntries, fitMean, fitRMS);\r | |
547 | \r | |
548 | // write the calibration parameters for each pad that the 3d histogram was projected onto\r | |
549 | // (with considering the step size) to the CalPads\r | |
550 | // rowStep (padStep) odd: round down s/2 and fill this # of rows (pads) in both directions\r | |
551 | // rowStep (padStep) even: fill s/2 rows (pads) in ascending direction, s/2-1 in descending direction\r | |
552 | for (Int_t r = iRow - (rowStep/2 - (rowStep+1)%2); r <= (Int_t)(iRow + rowStep/2); r++) {\r | |
553 | if (r < 0 || r >= (Int_t)nRows) continue;\r | |
554 | UInt_t nPadsR = roc.GetNPads(r);\r | |
555 | for (Int_t p = iPad - (padStep/2 - (padStep+1)%2); p <= (Int_t)(iPad + padStep/2); p++) {\r | |
556 | if (p < 0 || p >= (Int_t)nPadsR) continue;\r | |
557 | spectrMeanCalPad->GetCalROC(chamber)->SetValue(r, p, histMean);\r | |
558 | spectrRMSCalPad->GetCalROC(chamber)->SetValue(r, p, histRMS);\r | |
559 | fitMeanCalPad->GetCalROC(chamber)->SetValue(r, p, fitMean);\r | |
560 | fitRMSCalPad->GetCalROC(chamber)->SetValue(r, p, fitRMS);\r | |
561 | fitNormChi2CalPad->GetCalROC(chamber)->SetValue(r, p, fitNormChi2);\r | |
562 | entriesCalPad->GetCalROC(chamber)->SetValue(r, p, entries);\r | |
563 | \r | |
564 | (*debugStream) << "calibKr" <<\r | |
565 | "sector=" << chamber << // chamber number\r | |
566 | "row=" << r << // row number\r | |
567 | "pad=" << p << // pad number\r | |
568 | "histMean=" << histMean << // mean of the spectrum\r | |
569 | "histRMS=" << histRMS << // RMS of the spectrum divided by the mean\r | |
570 | "fitMean=" << fitMean << // Gauss fitted mean of the 41.6 keV Kr peak\r | |
571 | "fitRMS=" << fitRMS << // Gauss fitted sigma of the 41.6 keV Kr peak\r | |
572 | "fitNormChi2" << fitNormChi2 << // normalized chi square of the Gauss fit\r | |
573 | "entries=" << entries << // number of entries for the spectrum\r | |
574 | "\n";\r | |
575 | }\r | |
576 | }\r | |
577 | }\r | |
578 | }\r | |
579 | }\r | |
580 | \r | |
581 | TFile f("calibKr.root", "recreate");\r | |
582 | spectrMeanCalPad->Write();\r | |
583 | spectrRMSCalPad->Write();\r | |
584 | fitMeanCalPad->Write();\r | |
585 | fitRMSCalPad->Write();\r | |
586 | fitNormChi2CalPad->Write();\r | |
587 | entriesCalPad->Write();\r | |
588 | f.Close();\r | |
589 | delete spectrMeanCalPad;\r | |
590 | delete spectrRMSCalPad;\r | |
591 | delete fitMeanCalPad;\r | |
592 | delete fitRMSCalPad;\r | |
593 | delete fitNormChi2CalPad;\r | |
594 | delete entriesCalPad;\r | |
595 | delete debugStream;\r | |
596 | }\r | |
597 | \r | |
598 | //_____________________________________________________________________\r | |
599 | TH1D* AliTPCCalibKr::ProjectHisto(TH3F* histo3D, const char* name, Int_t xMin, Int_t xMax, Int_t yMin, Int_t yMax)\r | |
600 | {\r | |
601 | // project the z-axis of a 3d histo to a specific range of the x- and y-axes,\r | |
602 | // replaces TH3F::ProjectZ() to gain more speed\r | |
603 | \r | |
604 | TAxis* xAxis = histo3D->GetXaxis();\r | |
605 | TAxis* yAxis = histo3D->GetYaxis();\r | |
606 | TAxis* zAxis = histo3D->GetZaxis();\r | |
607 | Double_t zMinVal = zAxis->GetXmin();\r | |
608 | Double_t zMaxVal = zAxis->GetXmax();\r | |
609 | \r | |
610 | Int_t nBinsZ = zAxis->GetNbins();\r | |
611 | TH1D* projH = new TH1D(name, name, nBinsZ, zMinVal, zMaxVal);\r | |
612 | \r | |
613 | Int_t nx = xAxis->GetNbins()+2;\r | |
614 | Int_t ny = yAxis->GetNbins()+2;\r | |
615 | Int_t bin = 0;\r | |
616 | Double_t entries = 0.;\r | |
617 | for (Int_t x = xMin; x <= xMax; x++) {\r | |
618 | for (Int_t y = yMin; y <= yMax; y++) {\r | |
619 | for (Int_t z = 0; z <= nBinsZ+1; z++) {\r | |
620 | bin = x + nx * (y + ny * z);\r | |
621 | Double_t val = histo3D->GetBinContent(bin);\r | |
622 | projH->Fill(zAxis->GetBinCenter(z), val);\r | |
623 | entries += val;\r | |
624 | }\r | |
625 | }\r | |
626 | }\r | |
627 | projH->SetEntries((Long64_t)entries);\r | |
628 | return projH;\r | |
629 | }\r | |
630 | \r | |
631 | //_____________________________________________________________________\r | |
632 | Long64_t AliTPCCalibKr::Merge(TCollection* list) {\r | |
633 | // merge function \r | |
634 | //\r | |
f6b58a9e | 635 | \r |
636 | if (!list)\r | |
637 | return 0;\r | |
638 | \r | |
639 | if (list->IsEmpty())\r | |
640 | return 1;\r | |
641 | \r | |
642 | TIterator* iter = list->MakeIterator();\r | |
643 | TObject* obj = 0;\r | |
644 | \r | |
645 | iter->Reset();\r | |
646 | Int_t count=0;\r | |
647 | while((obj = iter->Next()) != 0)\r | |
648 | {\r | |
649 | AliTPCCalibKr* entry = dynamic_cast<AliTPCCalibKr*>(obj);\r | |
650 | if (entry == 0) continue; \r | |
651 | \r | |
652 | for(int i=0; i<72; ++i) { \r | |
653 | if(IsCSide(i) == kTRUE && fCSide == kTRUE) { \r | |
654 | ((TH3F*)fHistoKrArray.At(i))->Add( ((TH3F*)entry->fHistoKrArray.At(i)) ); \r | |
655 | } \r | |
656 | \r | |
657 | if(IsCSide(i) == kFALSE && fASide == kTRUE) { \r | |
658 | ((TH3F*)fHistoKrArray.At(i))->Add( ((TH3F*)entry->fHistoKrArray.At(i)) ); \r | |
659 | } \r | |
660 | } \r | |
661 | \r | |
662 | count++;\r | |
663 | }\r | |
664 | \r | |
665 | return count;\r | |
666 | }\r |