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72e010d3 | 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 | ||
17 | //Root includes | |
18 | #include <TH1F.h> | |
19 | #include <TH1D.h> | |
20 | #include <TH2F.h> | |
21 | #include <TH3F.h> | |
22 | #include <TString.h> | |
23 | #include <TMath.h> | |
24 | #include <TF1.h> | |
25 | #include <TRandom.h> | |
26 | #include <TDirectory.h> | |
27 | #include <TFile.h> | |
28 | #include <TAxis.h> | |
29 | //AliRoot includes | |
30 | #include "AliRawReader.h" | |
31 | #include "AliRawReaderRoot.h" | |
32 | #include "AliRawReaderDate.h" | |
33 | #include "AliTPCRawStream.h" | |
34 | #include "AliTPCCalROC.h" | |
35 | #include "AliTPCCalPad.h" | |
36 | #include "AliTPCROC.h" | |
37 | #include "AliMathBase.h" | |
38 | #include "TTreeStream.h" | |
39 | #include "AliTPCRawStreamFast.h" | |
40 | ||
41 | //date | |
42 | #include "event.h" | |
43 | ||
44 | //header file | |
45 | #include "AliTPCCalibKr.h" | |
46 | ||
47 | //---------------------------------------------------------------------------- | |
48 | // The AliTPCCalibKr class description (TPC Kr calibration). | |
49 | // | |
50 | // | |
afb50fd6 | 51 | // The AliTPCCalibKr keeps the array of TH3F histograms (TPC_max_padraw,TPC_max_pad,TPC_ADC_cluster), |
52 | // its data memebers and is filled by AliTPCCalibKrTask under conditions (Accept()). | |
72e010d3 | 53 | // |
72e010d3 | 54 | // The ouput TH3F histograms are later used to determine the calibration parameters of TPC chambers. |
55 | // These calculations are done by using AliTPCCalibKr::Analyse() function. The ouput calibration | |
56 | // parameters (details in AliTPCCalibKr::Analyse()) are stored in the calibKr.root file for each TPC pad. | |
57 | // In addition the debugCalibKr.root file with debug information is created. | |
58 | // | |
afb50fd6 | 59 | |
60 | /* | |
61 | ||
72e010d3 | 62 | // Usage example: |
63 | // | |
afb50fd6 | 64 | |
65 | // 1. Analyse output histograms: | |
66 | TFile f("outHistFile.root"); | |
67 | AliTPCCalibKr *obj = (AliTPCCalibKr*) cOutput.FindObject("AliTPCCalibKr") | |
68 | obj->Analyse(); | |
69 | ||
70 | // 2. See calibration parameters e.g.: | |
71 | TFile f("calibKr.root"); | |
72 | spectrMean->GetCalROC(70)->GetValue(40,40); | |
73 | fitMean->GetCalROC(70)->GetValue(40,40); | |
74 | ||
75 | // 3. See debug information e.g.: | |
76 | TFile f("debugCalibKr.root"); | |
77 | .ls; | |
78 | ||
72e010d3 | 79 | // -- Print calibKr TTree content |
afb50fd6 | 80 | calibKr->Print(); |
81 | ||
72e010d3 | 82 | // -- Draw calibKr TTree variables |
afb50fd6 | 83 | calibKr.Draw("fitMean"); |
84 | ||
85 | */ | |
86 | ||
87 | ||
72e010d3 | 88 | // |
89 | // Author: Jacek Otwinowski (J.Otwinowski@gsi.de) and Stafan Geartner (S.Gaertner@gsi.de) | |
90 | //----------------------------------------------------------------------------- | |
91 | ||
92 | ClassImp(AliTPCCalibKr) | |
93 | ||
94 | AliTPCCalibKr::AliTPCCalibKr() : | |
95 | TObject(), | |
ff0df25d | 96 | fASide(kTRUE), |
97 | fCSide(kTRUE), | |
aa967a06 | 98 | fHistoKrArray(72), |
99 | fADCOverClustSizeMin(0.0), | |
100 | fADCOverClustSizeMax(1.0e9), | |
101 | fMaxADCOverClustADCMin(0.0), | |
102 | fMaxADCOverClustADCMax(1.0e9), | |
103 | fTimeMin(0.0), | |
104 | fTimeMax(1.0e9), | |
105 | fClustSizeMin(0.0), | |
106 | fClustSizeMax(1.0e9) | |
72e010d3 | 107 | { |
108 | // | |
109 | // default constructor | |
110 | // | |
afb50fd6 | 111 | |
f3b61a78 | 112 | // TObjArray with histograms |
113 | fHistoKrArray.SetOwner(kTRUE); // is owner of histograms | |
114 | fHistoKrArray.Clear(); | |
aa967a06 | 115 | |
116 | // init cuts | |
117 | SetADCOverClustSizeRange(7,200); | |
118 | SetMaxADCOverClustADCRange(0.01,0.4); | |
119 | SetTimeRange(200,600); | |
120 | SetClustSizeRange(6,200); | |
121 | ||
afb50fd6 | 122 | // init histograms |
123 | Init(); | |
72e010d3 | 124 | } |
125 | ||
126 | //_____________________________________________________________________ | |
127 | AliTPCCalibKr::AliTPCCalibKr(const AliTPCCalibKr& pad) : | |
128 | TObject(pad), | |
129 | ||
ff0df25d | 130 | fASide(pad.fASide), |
131 | fCSide(pad.fCSide), | |
aa967a06 | 132 | fHistoKrArray(72), |
133 | fADCOverClustSizeMin(pad.fADCOverClustSizeMin), | |
134 | fADCOverClustSizeMax(pad.fADCOverClustSizeMax), | |
135 | fMaxADCOverClustADCMin(pad.fMaxADCOverClustADCMin), | |
136 | fMaxADCOverClustADCMax(pad.fMaxADCOverClustADCMax), | |
137 | fTimeMin(pad.fTimeMin), | |
138 | fTimeMax(pad.fTimeMax), | |
139 | fClustSizeMin(pad.fClustSizeMin), | |
140 | fClustSizeMax(pad.fClustSizeMax) | |
72e010d3 | 141 | { |
142 | // copy constructor | |
143 | ||
f3b61a78 | 144 | // TObjArray with histograms |
145 | fHistoKrArray.SetOwner(kTRUE); // is owner of histograms | |
146 | fHistoKrArray.Clear(); | |
147 | ||
72e010d3 | 148 | for (Int_t iSec = 0; iSec < 72; ++iSec) |
149 | { | |
150 | TH3F *hOld = pad.GetHistoKr(iSec); | |
151 | if(hOld) { | |
152 | TH3F *hNew = new TH3F( *pad.GetHistoKr(iSec) ); | |
153 | fHistoKrArray.AddAt(hNew,iSec); | |
154 | } | |
155 | } | |
156 | } | |
157 | ||
158 | //_____________________________________________________________________ | |
159 | AliTPCCalibKr::~AliTPCCalibKr() | |
160 | { | |
161 | // | |
162 | // destructor | |
163 | // | |
afb50fd6 | 164 | |
f3b61a78 | 165 | // for (Int_t iSec = 0; iSec < 72; ++iSec) { |
166 | // if (fHistoKrArray.At(iSec)) delete fHistoKrArray.RemoveAt(iSec); | |
167 | // } | |
72e010d3 | 168 | fHistoKrArray.Delete(); |
169 | } | |
170 | ||
171 | //_____________________________________________________________________ | |
172 | AliTPCCalibKr& AliTPCCalibKr::operator = (const AliTPCCalibKr &source) | |
173 | { | |
174 | // assignment operator | |
175 | ||
176 | if (&source == this) return *this; | |
177 | new (this) AliTPCCalibKr(source); | |
178 | ||
179 | return *this; | |
180 | } | |
181 | ||
182 | //_____________________________________________________________________ | |
183 | void AliTPCCalibKr::Init() | |
184 | { | |
185 | // | |
f3b61a78 | 186 | // init output histograms |
72e010d3 | 187 | // |
72e010d3 | 188 | |
189 | // add histograms to the TObjArray | |
190 | for(Int_t i=0; i<72; ++i) { | |
191 | ||
192 | // C - side | |
ff0df25d | 193 | if(IsCSide(i) == kTRUE && fCSide == kTRUE) { |
72e010d3 | 194 | TH3F *hist = CreateHisto(i); |
195 | if(hist) fHistoKrArray.AddAt(hist,i); | |
196 | } | |
197 | ||
198 | // A - side | |
ff0df25d | 199 | if(IsCSide(i) == kFALSE && fASide == kTRUE) { |
72e010d3 | 200 | TH3F *hist = CreateHisto(i); |
201 | if(hist) fHistoKrArray.AddAt(hist,i); | |
202 | } | |
72e010d3 | 203 | } |
204 | } | |
72e010d3 | 205 | |
206 | //_____________________________________________________________________ | |
afb50fd6 | 207 | Bool_t AliTPCCalibKr::Process(AliTPCclusterKr *cluster) |
72e010d3 | 208 | { |
209 | // | |
210 | // process events | |
211 | // call event by event | |
212 | // | |
213 | ||
afb50fd6 | 214 | if(cluster) Update(cluster); |
215 | else return kFALSE; | |
f3b61a78 | 216 | |
217 | return kTRUE; | |
72e010d3 | 218 | } |
219 | ||
220 | //_____________________________________________________________________ | |
221 | TH3F* AliTPCCalibKr::CreateHisto(Int_t chamber) | |
222 | { | |
223 | // | |
224 | // create new histogram | |
225 | // | |
226 | char name[256]; | |
227 | TH3F *h; | |
228 | ||
229 | sprintf(name,"ADCcluster_ch%d",chamber); | |
230 | ||
231 | if( IsIROC(chamber) == kTRUE ) | |
232 | { | |
f3b61a78 | 233 | h = new TH3F(name,name,63,0,63,108,0,108,200,100,2500); |
72e010d3 | 234 | } else { |
f3b61a78 | 235 | h = new TH3F(name,name,96,0,96,140,0,140,200,100,1700); |
72e010d3 | 236 | } |
237 | h->SetXTitle("padrow"); | |
238 | h->SetYTitle("pad"); | |
239 | h->SetZTitle("fADC"); | |
240 | ||
241 | return h; | |
242 | } | |
243 | ||
244 | //_____________________________________________________________________ | |
245 | Bool_t AliTPCCalibKr::IsIROC(Int_t chamber) | |
246 | { | |
247 | // check if IROCs | |
248 | // returns kTRUE if IROCs and kFALSE if OROCs | |
249 | ||
250 | if(chamber>=0 && chamber<36) return kTRUE; | |
251 | ||
252 | return kFALSE; | |
253 | } | |
254 | ||
255 | //_____________________________________________________________________ | |
256 | Bool_t AliTPCCalibKr::IsCSide(Int_t chamber) | |
257 | { | |
258 | // check if C side | |
259 | // returns kTRUE if C side and kFALSE if A side | |
260 | ||
261 | if((chamber>=18 && chamber<36) || (chamber>=54 && chamber<72)) return kTRUE; | |
262 | ||
263 | return kFALSE; | |
264 | } | |
265 | ||
266 | //_____________________________________________________________________ | |
267 | Bool_t AliTPCCalibKr::Update(AliTPCclusterKr *cl) | |
268 | { | |
269 | // | |
270 | // fill existing histograms | |
271 | // | |
72e010d3 | 272 | |
045a55c4 | 273 | if (!Accept(cl)) return kFALSE; |
274 | TH3F *h = (TH3F*)fHistoKrArray.At(cl->GetSec()); | |
275 | if(!h) return kFALSE; | |
276 | ||
277 | h->Fill(cl->GetMax().GetRow(),cl->GetMax().GetPad(),cl->GetADCcluster()); | |
278 | ||
279 | return kTRUE; | |
280 | } | |
281 | ||
afb50fd6 | 282 | //_____________________________________________________________________ |
045a55c4 | 283 | Bool_t AliTPCCalibKr::Accept(AliTPCclusterKr *cl){ |
284 | // | |
285 | // cuts | |
286 | // | |
287 | /* | |
288 | TCut cutR0("cutR0","fADCcluster/fSize<200"); // adjust it according v seetings - | |
289 | TCut cutR1("cutR1","fADCcluster/fSize>7"); // cosmic tracks and noise removal | |
290 | TCut cutR2("cutR2","fMax.fAdc/fADCcluster<0.4"); // digital noise removal | |
291 | TCut cutR3("cutR3","fMax.fAdc/fADCcluster>0.01"); // noise removal | |
aa967a06 | 292 | TCut cutR4("cutR4","fMax.fTime>200"); // noise removal |
293 | TCut cutR5("cutR5","fMax.fTime<600"); // noise removal | |
045a55c4 | 294 | TCut cutS1("cutS1","fSize<200"); // adjust it according v seetings - cosmic tracks |
aa967a06 | 295 | TCut cutAll = cutR0+cutR1+cutR2+cutR3+cutR4+cutR5+cutS1; |
045a55c4 | 296 | */ |
aa967a06 | 297 | /* |
045a55c4 | 298 | //R0 |
f3b61a78 | 299 | if ((float)cl->GetADCcluster()/ cl->GetSize() >200) return kFALSE; |
045a55c4 | 300 | // R1 |
f3b61a78 | 301 | if ((float)cl->GetADCcluster()/ cl->GetSize() <7) return kFALSE; |
045a55c4 | 302 | //R2 |
f3b61a78 | 303 | if ((float)cl->GetMax().GetAdc()/ cl->GetADCcluster() >0.4) return kFALSE; |
045a55c4 | 304 | //R3 |
f3b61a78 | 305 | if ((float)cl->GetMax().GetAdc()/ cl->GetADCcluster() <0.01) return kFALSE; |
aa967a06 | 306 | //R4 |
307 | if (cl->GetMax().GetTime() < 200) return kFALSE; | |
308 | //R5 | |
309 | if (cl->GetMax().GetTime() > 600) return kFALSE; | |
045a55c4 | 310 | //S1 |
311 | if (cl->GetSize()>200) return kFALSE; | |
312 | if (cl->GetSize()<6) return kFALSE; | |
aa967a06 | 313 | |
314 | SetADCOverClustSizeRange(7,200); | |
315 | SetMaxADCOverClustADCRange(0.01,0.4); | |
316 | SetTimeRange(200,600); | |
317 | SetClustSizeRange(6,200); | |
318 | */ | |
319 | ||
320 | //R0 | |
321 | if ((float)cl->GetADCcluster()/ cl->GetSize() >fADCOverClustSizeMax) return kFALSE; | |
322 | // R1 | |
323 | if ((float)cl->GetADCcluster()/ cl->GetSize() <fADCOverClustSizeMin) return kFALSE; | |
324 | //R2 | |
325 | if ((float)cl->GetMax().GetAdc()/ cl->GetADCcluster() >fMaxADCOverClustADCMax) return kFALSE; | |
326 | //R3 | |
327 | if ((float)cl->GetMax().GetAdc()/ cl->GetADCcluster() <fMaxADCOverClustADCMin) return kFALSE; | |
328 | //R4 | |
329 | if (cl->GetMax().GetTime() > fTimeMax) return kFALSE; | |
330 | //R5 | |
331 | if (cl->GetMax().GetTime() < fTimeMin) return kFALSE; | |
332 | //S1 | |
333 | if (cl->GetSize()>fClustSizeMax) return kFALSE; | |
334 | if (cl->GetSize()<fClustSizeMin) return kFALSE; | |
335 | ||
045a55c4 | 336 | return kTRUE; |
72e010d3 | 337 | |
72e010d3 | 338 | } |
339 | ||
340 | //_____________________________________________________________________ | |
341 | TH3F* AliTPCCalibKr::GetHistoKr(Int_t chamber) const | |
342 | { | |
343 | // get histograms from fHistoKrArray | |
344 | return (TH3F*) fHistoKrArray.At(chamber); | |
345 | } | |
72e010d3 | 346 | |
347 | //_____________________________________________________________________ | |
348 | void AliTPCCalibKr::Analyse() | |
349 | { | |
350 | // | |
351 | // analyse the histograms and extract krypton calibration parameters | |
352 | // | |
353 | ||
354 | // AliTPCCalPads that will contain the calibration parameters | |
355 | AliTPCCalPad* spectrMeanCalPad = new AliTPCCalPad("spectrMean", "spectrMean"); | |
356 | AliTPCCalPad* spectrRMSCalPad = new AliTPCCalPad("spectrRMS", "spectrRMS"); | |
357 | AliTPCCalPad* fitMeanCalPad = new AliTPCCalPad("fitMean", "fitMean"); | |
358 | AliTPCCalPad* fitRMSCalPad = new AliTPCCalPad("fitRMS", "fitRMS"); | |
359 | AliTPCCalPad* fitNormChi2CalPad = new AliTPCCalPad("fitNormChi2", "fitNormChi2"); | |
360 | AliTPCCalPad* entriesCalPad = new AliTPCCalPad("entries", "entries"); | |
361 | ||
362 | // file stream for debugging purposes | |
363 | TTreeSRedirector* debugStream = new TTreeSRedirector("debugCalibKr.root"); | |
364 | ||
365 | // if entries in spectrum less than minEntries, then the fit won't be performed | |
366 | Int_t minEntries = 1; //300; | |
367 | ||
368 | Double_t windowFrac = 0.12; | |
369 | // the 3d histogram will be projected on the pads given by the following window size | |
370 | // set the numbers to 0 if you want to do a pad-by-pad calibration | |
f3b61a78 | 371 | UInt_t rowRadius = 2; |
372 | UInt_t padRadius = 4; | |
373 | ||
72e010d3 | 374 | // the step size by which pad and row are incremented is given by the following numbers |
375 | // set them to 1 if you want the finest granularity | |
376 | UInt_t rowStep = 1; // formerly: 2*rowRadius | |
377 | UInt_t padStep = 1; // formerly: 2*padRadius | |
378 | ||
379 | for (Int_t chamber = 0; chamber < 72; chamber++) { | |
380 | //if (chamber != 71) continue; | |
381 | AliTPCCalROC roc(chamber); // I need this only for GetNrows() and GetNPads() | |
382 | ||
383 | // Usually I would traverse each pad, take the spectrum for its neighbourhood and | |
384 | // obtain the calibration parameters. This takes very long, so instead I assign the same | |
385 | // calibration values to the whole neighbourhood and then go on to the next neighbourhood. | |
386 | UInt_t nRows = roc.GetNrows(); | |
387 | for (UInt_t iRow = 0; iRow < nRows; iRow += rowStep) { | |
388 | UInt_t nPads = roc.GetNPads(iRow); | |
389 | //if (iRow >= 10) break; | |
390 | for (UInt_t iPad = 0; iPad < nPads; iPad += padStep) { | |
391 | //if (iPad >= 20) break; | |
392 | TH3F* h = GetHistoKr(chamber); | |
393 | if (!h) continue; | |
394 | ||
395 | // the 3d histogram will be projected on the pads given by the following bounds | |
396 | // for rows and pads | |
397 | Int_t rowLow = iRow - rowRadius; | |
398 | UInt_t rowUp = iRow + rowRadius; | |
399 | Int_t padLow = iPad - padRadius; | |
400 | UInt_t padUp = iPad + padRadius; | |
401 | // if window goes out of chamber | |
402 | if (rowLow < 0) rowLow = 0; | |
403 | if (rowUp >= nRows) rowUp = nRows - 1; | |
404 | if (padLow < 0) padLow = 0; | |
405 | if (padUp >= nPads) padUp = nPads - 1; | |
406 | ||
407 | // project the histogram | |
408 | //TH1D* projH = h->ProjectionZ("projH", rowLow, rowUp, padLow, padUp); // SLOW | |
409 | TH1D* projH = ProjectHisto(h, "projH", rowLow, rowUp, padLow, padUp); | |
410 | ||
411 | // get the number of entries in the spectrum | |
412 | Double_t entries = projH->GetEntries(); | |
413 | if (entries < minEntries) { delete projH; continue; } | |
414 | ||
415 | // get the two calibration parameters mean of spectrum and RMS of spectrum | |
416 | Double_t histMean = projH->GetMean(); | |
417 | Double_t histRMS = (histMean != 0) ? projH->GetRMS() / histMean : 0.; | |
418 | ||
419 | // find maximum in spectrum to define a range (given by windowFrac) for which a Gauss is fitted | |
420 | Double_t maxEntries = projH->GetBinCenter(projH->GetMaximumBin()); | |
f3b61a78 | 421 | Int_t minBin = projH->FindBin((1.-windowFrac) * maxEntries); |
422 | Int_t maxBin = projH->FindBin((1.+windowFrac) * maxEntries); | |
423 | Double_t integCharge = projH->Integral(minBin,maxBin); | |
424 | ||
72e010d3 | 425 | Int_t fitResult = projH->Fit("gaus", "Q0", "", (1.-windowFrac) * maxEntries, (1.+windowFrac) * maxEntries); |
f3b61a78 | 426 | |
72e010d3 | 427 | if (fitResult != 0) { |
f3b61a78 | 428 | Error("Analyse", "Error while fitting spectrum for chamber %i, rows %i - %i, pads %i - %i, integrated charge %f.", chamber, rowLow, rowUp, padLow, padUp, integCharge); |
429 | //printf("[ch%i r%i, p%i] entries = %f, maxEntries = %f, %f\n", chamber, iRow, iPad, entries, maxEntries); | |
430 | ||
72e010d3 | 431 | delete projH; |
432 | continue; | |
433 | } | |
434 | ||
435 | // get the two calibration parameters mean of gauss fit and sigma of gauss fit | |
436 | TF1* gausFit = projH->GetFunction("gaus"); | |
437 | Double_t fitMean = gausFit->GetParameter(1); | |
438 | Double_t fitRMS = gausFit->GetParameter(2); | |
439 | Int_t numberFitPoints = gausFit->GetNumberFitPoints(); | |
440 | if (numberFitPoints == 0) continue; | |
441 | Double_t fitNormChi2 = gausFit->GetChisquare() / numberFitPoints; | |
442 | delete gausFit; | |
443 | delete projH; | |
444 | if (fitMean <= 0) continue; | |
afb50fd6 | 445 | //printf("[ch%i r%i, p%i] entries = %f, maxEntries = %f, fitMean = %f, fitRMS = %f\n", chamber, iRow, iPad, entries, maxEntries, fitMean, fitRMS); |
72e010d3 | 446 | |
447 | // write the calibration parameters for each pad that the 3d histogram was projected onto | |
448 | // (with considering the step size) to the CalPads | |
449 | // rowStep (padStep) odd: round down s/2 and fill this # of rows (pads) in both directions | |
450 | // rowStep (padStep) even: fill s/2 rows (pads) in ascending direction, s/2-1 in descending direction | |
451 | for (Int_t r = iRow - (rowStep/2 - (rowStep+1)%2); r <= (Int_t)(iRow + rowStep/2); r++) { | |
452 | if (r < 0 || r >= (Int_t)nRows) continue; | |
23354e27 | 453 | UInt_t nPadsR = roc.GetNPads(r); |
72e010d3 | 454 | for (Int_t p = iPad - (padStep/2 - (padStep+1)%2); p <= (Int_t)(iPad + padStep/2); p++) { |
23354e27 | 455 | if (p < 0 || p >= (Int_t)nPadsR) continue; |
72e010d3 | 456 | spectrMeanCalPad->GetCalROC(chamber)->SetValue(r, p, histMean); |
457 | spectrRMSCalPad->GetCalROC(chamber)->SetValue(r, p, histRMS); | |
458 | fitMeanCalPad->GetCalROC(chamber)->SetValue(r, p, fitMean); | |
459 | fitRMSCalPad->GetCalROC(chamber)->SetValue(r, p, fitRMS); | |
460 | fitNormChi2CalPad->GetCalROC(chamber)->SetValue(r, p, fitNormChi2); | |
461 | entriesCalPad->GetCalROC(chamber)->SetValue(r, p, entries); | |
462 | ||
463 | (*debugStream) << "calibKr" << | |
464 | "sector=" << chamber << // chamber number | |
465 | "row=" << r << // row number | |
466 | "pad=" << p << // pad number | |
467 | "histMean=" << histMean << // mean of the spectrum | |
468 | "histRMS=" << histRMS << // RMS of the spectrum divided by the mean | |
469 | "fitMean=" << fitMean << // Gauss fitted mean of the 41.6 keV Kr peak | |
470 | "fitRMS=" << fitRMS << // Gauss fitted sigma of the 41.6 keV Kr peak | |
471 | "fitNormChi2" << fitNormChi2 << // normalized chi square of the Gauss fit | |
472 | "entries=" << entries << // number of entries for the spectrum | |
473 | "\n"; | |
474 | } | |
475 | } | |
476 | } | |
477 | } | |
478 | } | |
479 | ||
480 | TFile f("calibKr.root", "recreate"); | |
481 | spectrMeanCalPad->Write(); | |
482 | spectrRMSCalPad->Write(); | |
483 | fitMeanCalPad->Write(); | |
484 | fitRMSCalPad->Write(); | |
485 | fitNormChi2CalPad->Write(); | |
486 | entriesCalPad->Write(); | |
487 | f.Close(); | |
488 | delete spectrMeanCalPad; | |
489 | delete spectrRMSCalPad; | |
490 | delete fitMeanCalPad; | |
491 | delete fitRMSCalPad; | |
492 | delete fitNormChi2CalPad; | |
493 | delete entriesCalPad; | |
494 | delete debugStream; | |
495 | } | |
496 | ||
497 | //_____________________________________________________________________ | |
498 | TH1D* AliTPCCalibKr::ProjectHisto(TH3F* histo3D, const char* name, Int_t xMin, Int_t xMax, Int_t yMin, Int_t yMax) | |
499 | { | |
500 | // project the z-axis of a 3d histo to a specific range of the x- and y-axes, | |
501 | // replaces TH3F::ProjectZ() to gain more speed | |
502 | ||
503 | TAxis* xAxis = histo3D->GetXaxis(); | |
504 | TAxis* yAxis = histo3D->GetYaxis(); | |
505 | TAxis* zAxis = histo3D->GetZaxis(); | |
506 | Double_t zMinVal = zAxis->GetXmin(); | |
507 | Double_t zMaxVal = zAxis->GetXmax(); | |
508 | ||
509 | Int_t nBinsZ = zAxis->GetNbins(); | |
510 | TH1D* projH = new TH1D(name, name, nBinsZ, zMinVal, zMaxVal); | |
511 | ||
512 | Int_t nx = xAxis->GetNbins()+2; | |
513 | Int_t ny = yAxis->GetNbins()+2; | |
514 | Int_t bin = 0; | |
515 | Double_t entries = 0.; | |
516 | for (Int_t x = xMin; x <= xMax; x++) { | |
517 | for (Int_t y = yMin; y <= yMax; y++) { | |
518 | for (Int_t z = 0; z <= nBinsZ+1; z++) { | |
519 | bin = x + nx * (y + ny * z); | |
520 | Double_t val = histo3D->GetBinContent(bin); | |
521 | projH->Fill(zAxis->GetBinCenter(z), val); | |
522 | entries += val; | |
523 | } | |
524 | } | |
525 | } | |
526 | projH->SetEntries((Long64_t)entries); | |
527 | return projH; | |
528 | } | |
afb50fd6 | 529 | |
530 | //_____________________________________________________________________ | |
531 | Long64_t AliTPCCalibKr::Merge(TCollection* list) { | |
532 | // merge function | |
533 | // | |
534 | cout << "Merge " << endl; | |
535 | ||
536 | if (!list) | |
537 | return 0; | |
538 | ||
539 | if (list->IsEmpty()) | |
540 | return 1; | |
541 | ||
542 | TIterator* iter = list->MakeIterator(); | |
543 | TObject* obj = 0; | |
544 | ||
545 | iter->Reset(); | |
546 | Int_t count=0; | |
547 | while((obj = iter->Next()) != 0) | |
548 | { | |
549 | AliTPCCalibKr* entry = dynamic_cast<AliTPCCalibKr*>(obj); | |
550 | if (entry == 0) continue; | |
551 | ||
552 | for(int i=0; i<72; ++i) { | |
ff0df25d | 553 | if(IsCSide(i) == kTRUE && fCSide == kTRUE) { |
afb50fd6 | 554 | ((TH3F*)fHistoKrArray.At(i))->Add( ((TH3F*)entry->fHistoKrArray.At(i)) ); |
555 | } | |
556 | ||
ff0df25d | 557 | if(IsCSide(i) == kFALSE && fASide == kTRUE) { |
afb50fd6 | 558 | ((TH3F*)fHistoKrArray.At(i))->Add( ((TH3F*)entry->fHistoKrArray.At(i)) ); |
559 | } | |
560 | } | |
561 | ||
562 | count++; | |
563 | } | |
564 | ||
565 | return count; | |
566 | } |