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55a288e5 | 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 | /* $Id$ */ | |
17 | ||
18 | ///////////////////////////////////////////////////////////////////////////////// | |
19 | // | |
20 | // AliTRDCalibraFit | |
21 | // | |
22 | // This class is for the TRD calibration of the relative gain factor, the drift velocity, | |
23 | // the time 0 and the pad response function. It fits the histos. | |
24 | // The 2D histograms or vectors (first converted in 1D histos) will be fitted | |
25 | // if they have enough entries, otherwise the (default) value of the choosen database | |
26 | // will be put. For the relative gain calibration the resulted factors will be globally | |
27 | // normalized to the gain factors of the choosen database. It unables to precise | |
28 | // previous calibration procedure. | |
29 | // The function SetDebug enables the user to see: | |
30 | // _fDebug = 0: nothing, only the values are written in the tree if wanted | |
64942b85 | 31 | // _fDebug = 1: only the fit of the choosen calibration group fFitVoir (SetFitVoir) |
32 | // _fDebug = 2: a comparaison of the coefficients found and the default values | |
55a288e5 | 33 | // in the choosen database. |
34 | // fCoef , histogram of the coefs as function of the calibration group number | |
35 | // fDelta , histogram of the relative difference of the coef with the default | |
36 | // value in the database as function of the calibration group number | |
37 | // fError , dirstribution of this relative difference | |
55a288e5 | 38 | // _fDebug = 3: The coefficients in the choosen detector fDet (SetDet) as function of the |
39 | // pad row and col number | |
40 | // _fDebug = 4; The coeffcicients in the choosen detector fDet (SetDet) like in the 3 but with | |
41 | // also the comparaison histograms of the 1 for this detector | |
42 | // | |
43 | // | |
44 | // Author: | |
45 | // R. Bailhache (R.Bailhache@gsi.de) | |
46 | // | |
47 | ////////////////////////////////////////////////////////////////////////////////////// | |
48 | ||
55a288e5 | 49 | #include <TLine.h> |
50 | #include <TH1I.h> | |
51 | #include <TStyle.h> | |
52 | #include <TProfile2D.h> | |
55a288e5 | 53 | #include <TCanvas.h> |
54 | #include <TGraphErrors.h> | |
55a288e5 | 55 | #include <TObjArray.h> |
56 | #include <TH1.h> | |
57 | #include <TH1F.h> | |
58 | #include <TF1.h> | |
55a288e5 | 59 | #include <TAxis.h> |
55a288e5 | 60 | #include <TMath.h> |
55a288e5 | 61 | #include <TDirectory.h> |
62 | #include <TROOT.h> | |
3a0f6479 | 63 | #include <TTreeStream.h> |
64 | #include <TLinearFitter.h> | |
65 | #include <TVectorD.h> | |
66 | #include <TArrayF.h> | |
55a288e5 | 67 | |
68 | #include "AliLog.h" | |
3a0f6479 | 69 | #include "AliMathBase.h" |
55a288e5 | 70 | |
71 | #include "AliTRDCalibraFit.h" | |
72 | #include "AliTRDCalibraMode.h" | |
73 | #include "AliTRDCalibraVector.h" | |
3a0f6479 | 74 | #include "AliTRDCalibraVdriftLinearFit.h" |
55a288e5 | 75 | #include "AliTRDcalibDB.h" |
76 | #include "AliTRDgeometry.h" | |
3a0f6479 | 77 | #include "AliTRDpadPlane.h" |
78 | #include "AliTRDgeometry.h" | |
a076fc2f | 79 | #include "AliTRDCommonParam.h" |
55a288e5 | 80 | #include "./Cal/AliTRDCalROC.h" |
81 | #include "./Cal/AliTRDCalPad.h" | |
82 | #include "./Cal/AliTRDCalDet.h" | |
83 | ||
84 | ||
85 | ClassImp(AliTRDCalibraFit) | |
86 | ||
87 | AliTRDCalibraFit* AliTRDCalibraFit::fgInstance = 0; | |
88 | Bool_t AliTRDCalibraFit::fgTerminated = kFALSE; | |
89 | ||
90 | //_____________singleton implementation_________________________________________________ | |
91 | AliTRDCalibraFit *AliTRDCalibraFit::Instance() | |
92 | { | |
93 | // | |
94 | // Singleton implementation | |
95 | // | |
96 | ||
97 | if (fgTerminated != kFALSE) { | |
98 | return 0; | |
99 | } | |
100 | ||
101 | if (fgInstance == 0) { | |
102 | fgInstance = new AliTRDCalibraFit(); | |
103 | } | |
104 | ||
105 | return fgInstance; | |
106 | ||
107 | } | |
55a288e5 | 108 | //______________________________________________________________________________________ |
109 | void AliTRDCalibraFit::Terminate() | |
110 | { | |
111 | // | |
112 | // Singleton implementation | |
113 | // Deletes the instance of this class | |
114 | // | |
115 | ||
116 | fgTerminated = kTRUE; | |
117 | ||
118 | if (fgInstance != 0) { | |
119 | delete fgInstance; | |
120 | fgInstance = 0; | |
121 | } | |
122 | ||
123 | } | |
55a288e5 | 124 | //______________________________________________________________________________________ |
125 | AliTRDCalibraFit::AliTRDCalibraFit() | |
126 | :TObject() | |
f162af62 | 127 | ,fGeo(0) |
3a0f6479 | 128 | ,fNumberOfBinsExpected(0) |
129 | ,fMethod(0) | |
130 | ,fBeginFitCharge(3.5) | |
131 | ,fFitPHPeriode(1) | |
413153cb | 132 | ,fTakeTheMaxPH(kTRUE) |
133 | ,fT0Shift0(0.124797) | |
134 | ,fT0Shift1(0.267451) | |
3a0f6479 | 135 | ,fRangeFitPRF(1.0) |
55a288e5 | 136 | ,fAccCDB(kFALSE) |
3a0f6479 | 137 | ,fMinEntries(800) |
138 | ,fRebin(1) | |
55a288e5 | 139 | ,fNumberFit(0) |
140 | ,fNumberFitSuccess(0) | |
141 | ,fNumberEnt(0) | |
142 | ,fStatisticMean(0.0) | |
3a0f6479 | 143 | ,fDebugStreamer(0x0) |
144 | ,fDebugLevel(0) | |
55a288e5 | 145 | ,fFitVoir(0) |
3a0f6479 | 146 | ,fMagneticField(0.5) |
147 | ,fCalibraMode(new AliTRDCalibraMode()) | |
148 | ,fCurrentCoefE(0.0) | |
149 | ,fCurrentCoefE2(0.0) | |
150 | ,fDect1(0) | |
151 | ,fDect2(0) | |
55a288e5 | 152 | ,fScaleFitFactor(0.0) |
153 | ,fEntriesCurrent(0) | |
3a0f6479 | 154 | ,fCountDet(0) |
155 | ,fCount(0) | |
64942b85 | 156 | ,fNbDet(0) |
3a0f6479 | 157 | ,fCalDet(0x0) |
158 | ,fCalROC(0x0) | |
159 | ,fCalDet2(0x0) | |
160 | ,fCalROC2(0x0) | |
161 | ,fCurrentCoefDetector(0x0) | |
162 | ,fCurrentCoefDetector2(0x0) | |
163 | ,fVectorFit(0) | |
164 | ,fVectorFit2(0) | |
55a288e5 | 165 | { |
166 | // | |
167 | // Default constructor | |
168 | // | |
169 | ||
3a0f6479 | 170 | fGeo = new AliTRDgeometry(); |
171 | ||
172 | // Current variables initialised | |
173 | for (Int_t k = 0; k < 2; k++) { | |
174 | fCurrentCoef[k] = 0.0; | |
175 | fCurrentCoef2[k] = 0.0; | |
55a288e5 | 176 | } |
55a288e5 | 177 | for (Int_t i = 0; i < 3; i++) { |
3a0f6479 | 178 | fPhd[i] = 0.0; |
179 | fDet[i] = 0; | |
55a288e5 | 180 | } |
3a0f6479 | 181 | |
55a288e5 | 182 | } |
55a288e5 | 183 | //______________________________________________________________________________________ |
184 | AliTRDCalibraFit::AliTRDCalibraFit(const AliTRDCalibraFit &c) | |
3a0f6479 | 185 | :TObject(c) |
186 | ,fGeo(0) | |
187 | ,fNumberOfBinsExpected(c.fNumberOfBinsExpected) | |
188 | ,fMethod(c.fMethod) | |
189 | ,fBeginFitCharge(c.fBeginFitCharge) | |
190 | ,fFitPHPeriode(c.fFitPHPeriode) | |
191 | ,fTakeTheMaxPH(c.fTakeTheMaxPH) | |
413153cb | 192 | ,fT0Shift0(c.fT0Shift0) |
193 | ,fT0Shift1(c.fT0Shift1) | |
3a0f6479 | 194 | ,fRangeFitPRF(c.fRangeFitPRF) |
195 | ,fAccCDB(c.fAccCDB) | |
196 | ,fMinEntries(c.fMinEntries) | |
197 | ,fRebin(c.fRebin) | |
198 | ,fNumberFit(c.fNumberFit) | |
199 | ,fNumberFitSuccess(c.fNumberFitSuccess) | |
200 | ,fNumberEnt(c.fNumberEnt) | |
201 | ,fStatisticMean(c.fStatisticMean) | |
202 | ,fDebugStreamer(0x0) | |
203 | ,fDebugLevel(c.fDebugLevel) | |
204 | ,fFitVoir(c.fFitVoir) | |
205 | ,fMagneticField(c.fMagneticField) | |
206 | ,fCalibraMode(0x0) | |
207 | ,fCurrentCoefE(c.fCurrentCoefE) | |
208 | ,fCurrentCoefE2(c.fCurrentCoefE2) | |
209 | ,fDect1(c.fDect1) | |
210 | ,fDect2(c.fDect2) | |
211 | ,fScaleFitFactor(c.fScaleFitFactor) | |
212 | ,fEntriesCurrent(c.fEntriesCurrent) | |
213 | ,fCountDet(c.fCountDet) | |
214 | ,fCount(c.fCount) | |
64942b85 | 215 | ,fNbDet(c.fNbDet) |
3a0f6479 | 216 | ,fCalDet(0x0) |
217 | ,fCalROC(0x0) | |
218 | ,fCalDet2(0x0) | |
219 | ,fCalROC2(0x0) | |
220 | ,fCurrentCoefDetector(0x0) | |
221 | ,fCurrentCoefDetector2(0x0) | |
222 | ,fVectorFit(0) | |
223 | ,fVectorFit2(0) | |
55a288e5 | 224 | { |
225 | // | |
226 | // Copy constructor | |
227 | // | |
228 | ||
3a0f6479 | 229 | if(c.fCalibraMode) fCalibraMode = new AliTRDCalibraMode(*c.fCalibraMode); |
230 | ||
231 | //Current variables initialised | |
232 | for (Int_t k = 0; k < 2; k++) { | |
233 | fCurrentCoef[k] = 0.0; | |
234 | fCurrentCoef2[k] = 0.0; | |
235 | } | |
236 | for (Int_t i = 0; i < 3; i++) { | |
237 | fPhd[i] = 0.0; | |
238 | fDet[i] = 0; | |
239 | } | |
240 | if(c.fCalDet) fCalDet = new AliTRDCalDet(*c.fCalDet); | |
241 | if(c.fCalDet2) fCalDet2 = new AliTRDCalDet(*c.fCalDet2); | |
64942b85 | 242 | |
3a0f6479 | 243 | if(c.fCalROC) fCalROC = new AliTRDCalROC(*c.fCalROC); |
244 | if(c.fCalROC2) fCalROC = new AliTRDCalROC(*c.fCalROC2); | |
245 | ||
246 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
247 | for(Int_t k = 0; k < c.fVectorFit.GetEntriesFast(); k++){ | |
248 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
249 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetDetector(); | |
250 | Int_t ntotal = 1; | |
053767a4 | 251 | if (GetStack(detector) == 2) { |
3a0f6479 | 252 | ntotal = 1728; |
253 | } | |
254 | else { | |
255 | ntotal = 2304; | |
256 | } | |
257 | Float_t *coef = new Float_t[ntotal]; | |
258 | for (Int_t i = 0; i < ntotal; i++) { | |
259 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetCoef()[i]; | |
260 | } | |
261 | fitInfo->SetCoef(coef); | |
262 | fitInfo->SetDetector(detector); | |
263 | fVectorFit.Add((TObject *) fitInfo); | |
264 | } | |
265 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
266 | for(Int_t k = 0; k < c.fVectorFit2.GetEntriesFast(); k++){ | |
267 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
268 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetDetector(); | |
269 | Int_t ntotal = 1; | |
053767a4 | 270 | if (GetStack(detector) == 2) { |
3a0f6479 | 271 | ntotal = 1728; |
272 | } | |
273 | else { | |
274 | ntotal = 2304; | |
275 | } | |
276 | Float_t *coef = new Float_t[ntotal]; | |
277 | for (Int_t i = 0; i < ntotal; i++) { | |
278 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetCoef()[i]; | |
279 | } | |
280 | fitInfo->SetCoef(coef); | |
281 | fitInfo->SetDetector(detector); | |
282 | fVectorFit2.Add((TObject *) fitInfo); | |
283 | } | |
284 | if (fGeo) { | |
285 | delete fGeo; | |
286 | } | |
287 | fGeo = new AliTRDgeometry(); | |
55a288e5 | 288 | |
3a0f6479 | 289 | } |
55a288e5 | 290 | //____________________________________________________________________________________ |
291 | AliTRDCalibraFit::~AliTRDCalibraFit() | |
292 | { | |
293 | // | |
294 | // AliTRDCalibraFit destructor | |
295 | // | |
3a0f6479 | 296 | if ( fDebugStreamer ) delete fDebugStreamer; |
297 | if ( fCalDet ) delete fCalDet; | |
298 | if ( fCalDet2 ) delete fCalDet2; | |
299 | if ( fCalROC ) delete fCalROC; | |
1ca79a00 | 300 | if ( fCalROC2 ) delete fCalROC2; |
301 | if( fCurrentCoefDetector ) delete [] fCurrentCoefDetector; | |
302 | if( fCurrentCoefDetector2 ) delete [] fCurrentCoefDetector2; | |
3a0f6479 | 303 | fVectorFit.Delete(); |
304 | fVectorFit2.Delete(); | |
f162af62 | 305 | if (fGeo) { |
306 | delete fGeo; | |
307 | } | |
308 | ||
55a288e5 | 309 | } |
55a288e5 | 310 | //_____________________________________________________________________________ |
311 | void AliTRDCalibraFit::Destroy() | |
312 | { | |
313 | // | |
314 | // Delete instance | |
315 | // | |
316 | ||
317 | if (fgInstance) { | |
318 | delete fgInstance; | |
319 | fgInstance = 0x0; | |
320 | } | |
321 | ||
64942b85 | 322 | } |
323 | //_____________________________________________________________________________ | |
324 | void AliTRDCalibraFit::DestroyDebugStreamer() | |
325 | { | |
326 | // | |
327 | // Delete DebugStreamer | |
328 | // | |
329 | ||
330 | if ( fDebugStreamer ) delete fDebugStreamer; | |
331 | fDebugStreamer = 0x0; | |
332 | ||
413153cb | 333 | } |
334 | //__________________________________________________________________________________ | |
979b168f | 335 | void AliTRDCalibraFit::RangeChargeIntegration(Float_t vdrift, Float_t t0, Int_t &begin, Int_t &peak, Int_t &end) const |
413153cb | 336 | { |
337 | // | |
338 | // From the drift velocity and t0 | |
339 | // return the position of the peak and maximum negative slope | |
340 | // | |
341 | ||
342 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); // drift region | |
343 | Double_t widbins = 0.1; // 0.1 mus | |
344 | ||
345 | //peak and maxnegslope in mus | |
346 | Double_t begind = t0*widbins + fT0Shift0; | |
347 | Double_t peakd = t0*widbins + fT0Shift1; | |
348 | Double_t maxnegslope = (kDrWidth + vdrift*peakd)/vdrift; | |
349 | ||
350 | // peak and maxnegslope in timebin | |
351 | begin = TMath::Nint(begind*widbins); | |
352 | peak = TMath::Nint(peakd*widbins); | |
353 | end = TMath::Nint(maxnegslope*widbins); | |
354 | ||
55a288e5 | 355 | } |
55a288e5 | 356 | //____________Functions fit Online CH2d________________________________________ |
979b168f | 357 | Bool_t AliTRDCalibraFit::AnalyseCH(const TH2I *ch) |
55a288e5 | 358 | { |
359 | // | |
360 | // Fit the 1D histos, projections of the 2D ch on the Xaxis, for each | |
361 | // calibration group normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 362 | // |
363 | ||
3a0f6479 | 364 | // Set the calibration mode |
365 | const char *name = ch->GetTitle(); | |
64942b85 | 366 | if(!SetModeCalibration(name,0)) return kFALSE; |
3a0f6479 | 367 | |
368 | // Number of Ybins (detectors or groups of pads) | |
369 | Int_t nbins = ch->GetNbinsX();// charge | |
370 | Int_t nybins = ch->GetNbinsY();// groups number | |
371 | if (!InitFit(nybins,0)) { | |
55a288e5 | 372 | return kFALSE; |
373 | } | |
3a0f6479 | 374 | if (!InitFitCH()) { |
55a288e5 | 375 | return kFALSE; |
376 | } | |
377 | fStatisticMean = 0.0; | |
378 | fNumberFit = 0; | |
379 | fNumberFitSuccess = 0; | |
380 | fNumberEnt = 0; | |
55a288e5 | 381 | // Init fCountDet and fCount |
382 | InitfCountDetAndfCount(0); | |
55a288e5 | 383 | // Beginning of the loop betwwen dect1 and dect2 |
3a0f6479 | 384 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
385 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi... | |
55a288e5 | 386 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 387 | ReconstructFitRowMinRowMax(idect, 0); |
3a0f6479 | 388 | // Take the histo |
389 | TH1I *projch = (TH1I *) ch->ProjectionX("projch",idect+1,idect+1,(Option_t *)"e"); | |
390 | projch->SetDirectory(0); | |
55a288e5 | 391 | // Number of entries for this calibration group |
392 | Double_t nentries = 0.0; | |
393 | Double_t mean = 0.0; | |
3a0f6479 | 394 | for (Int_t k = 0; k < nbins; k++) { |
395 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
396 | nentries += ch->GetBinContent(binnb); | |
55a288e5 | 397 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); |
3a0f6479 | 398 | projch->SetBinError(k+1,TMath::Sqrt(projch->GetBinContent(k+1))); |
55a288e5 | 399 | } |
3a0f6479 | 400 | projch->SetEntries(nentries); |
401 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 402 | if (nentries > 0) { |
403 | fNumberEnt++; | |
404 | mean /= nentries; | |
405 | } | |
55a288e5 | 406 | // Rebin and statistic stuff |
55a288e5 | 407 | if (fRebin > 1) { |
408 | projch = ReBin((TH1I *) projch); | |
409 | } | |
410 | // This detector has not enough statistics or was off | |
3a0f6479 | 411 | if (nentries <= fMinEntries) { |
412 | NotEnoughStatisticCH(idect); | |
413 | if (fDebugLevel != 1) { | |
55a288e5 | 414 | delete projch; |
415 | } | |
416 | continue; | |
417 | } | |
55a288e5 | 418 | // Statistics of the group fitted |
55a288e5 | 419 | fStatisticMean += nentries; |
420 | fNumberFit++; | |
3a0f6479 | 421 | //Method choosen |
422 | switch(fMethod) | |
423 | { | |
424 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
425 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
426 | case 2: FitCH((TH1 *) projch, mean); break; | |
427 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
428 | default: return kFALSE; | |
429 | } | |
55a288e5 | 430 | // Fill Infos Fit |
3a0f6479 | 431 | FillInfosFitCH(idect); |
55a288e5 | 432 | // Memory!!! |
3a0f6479 | 433 | if (fDebugLevel != 1) { |
55a288e5 | 434 | delete projch; |
435 | } | |
55a288e5 | 436 | } // Boucle object |
55a288e5 | 437 | // Normierungcharge |
3a0f6479 | 438 | if (fDebugLevel != 1) { |
55a288e5 | 439 | NormierungCharge(); |
440 | } | |
55a288e5 | 441 | // Mean Statistic |
442 | if (fNumberFit > 0) { | |
3a0f6479 | 443 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit, fNumberFitSuccess)); |
55a288e5 | 444 | fStatisticMean = fStatisticMean / fNumberFit; |
445 | } | |
446 | else { | |
447 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
448 | } | |
3a0f6479 | 449 | delete fDebugStreamer; |
450 | fDebugStreamer = 0x0; | |
451 | ||
55a288e5 | 452 | return kTRUE; |
55a288e5 | 453 | } |
55a288e5 | 454 | //____________Functions fit Online CH2d________________________________________ |
3a0f6479 | 455 | Bool_t AliTRDCalibraFit::AnalyseCH(AliTRDCalibraVector *calvect) |
55a288e5 | 456 | { |
457 | // | |
458 | // Reconstruct a 1D histo from the vectorCH for each calibration group, | |
459 | // fit the histo, normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 460 | // |
461 | ||
3a0f6479 | 462 | // Set the calibraMode |
463 | const char *name = calvect->GetNameCH(); | |
64942b85 | 464 | if(!SetModeCalibration(name,0)) return kFALSE; |
55a288e5 | 465 | |
3a0f6479 | 466 | // Number of Xbins (detectors or groups of pads) |
467 | if (!InitFit((432*calvect->GetDetCha0(0)+108*calvect->GetDetCha2(0)),0)) { | |
55a288e5 | 468 | return kFALSE; |
469 | } | |
3a0f6479 | 470 | if (!InitFitCH()) { |
55a288e5 | 471 | return kFALSE; |
472 | } | |
473 | fStatisticMean = 0.0; | |
474 | fNumberFit = 0; | |
475 | fNumberFitSuccess = 0; | |
476 | fNumberEnt = 0; | |
55a288e5 | 477 | // Init fCountDet and fCount |
478 | InitfCountDetAndfCount(0); | |
55a288e5 | 479 | // Beginning of the loop between dect1 and dect2 |
3a0f6479 | 480 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
481 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 482 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 483 | ReconstructFitRowMinRowMax(idect,0); |
3a0f6479 | 484 | // Take the histo |
55a288e5 | 485 | Double_t nentries = 0.0; |
486 | Double_t mean = 0.0; | |
e526983e | 487 | if(!calvect->GetCHEntries(fCountDet)) { |
488 | NotEnoughStatisticCH(idect); | |
489 | continue; | |
490 | } | |
491 | ||
492 | TString tname("CH"); | |
493 | tname += idect; | |
494 | TH1F *projch = calvect->ConvertVectorCHHisto(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0)))),(const char *) tname); | |
495 | projch->SetDirectory(0); | |
496 | for (Int_t k = 0; k < calvect->GetNumberBinCharge(); k++) { | |
497 | nentries += projch->GetBinContent(k+1); | |
498 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); | |
499 | } | |
500 | if (nentries > 0) { | |
501 | fNumberEnt++; | |
502 | mean /= nentries; | |
503 | } | |
504 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
505 | // Rebin | |
506 | if (fRebin > 1) { | |
507 | projch = ReBin((TH1F *) projch); | |
55a288e5 | 508 | } |
55a288e5 | 509 | // This detector has not enough statistics or was not found in VectorCH |
3a0f6479 | 510 | if (nentries <= fMinEntries) { |
511 | NotEnoughStatisticCH(idect); | |
55a288e5 | 512 | continue; |
55a288e5 | 513 | } |
55a288e5 | 514 | // Statistic of the histos fitted |
55a288e5 | 515 | fStatisticMean += nentries; |
516 | fNumberFit++; | |
3a0f6479 | 517 | //Method choosen |
518 | switch(fMethod) | |
519 | { | |
520 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
521 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
522 | case 2: FitCH((TH1 *) projch, mean); break; | |
523 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
524 | default: return kFALSE; | |
525 | } | |
55a288e5 | 526 | // Fill Infos Fit |
3a0f6479 | 527 | FillInfosFitCH(idect); |
55a288e5 | 528 | } // Boucle object |
55a288e5 | 529 | // Normierungcharge |
3a0f6479 | 530 | if (fDebugLevel != 1) { |
55a288e5 | 531 | NormierungCharge(); |
532 | } | |
55a288e5 | 533 | // Mean Statistics |
534 | if (fNumberFit > 0) { | |
3a0f6479 | 535 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit, fNumberFitSuccess)); |
55a288e5 | 536 | fStatisticMean = fStatisticMean / fNumberFit; |
537 | } | |
538 | else { | |
539 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
540 | } | |
3a0f6479 | 541 | delete fDebugStreamer; |
542 | fDebugStreamer = 0x0; | |
55a288e5 | 543 | return kTRUE; |
55a288e5 | 544 | } |
3a0f6479 | 545 | //________________functions fit Online PH2d____________________________________ |
979b168f | 546 | Bool_t AliTRDCalibraFit::AnalysePH(const TProfile2D *ph) |
55a288e5 | 547 | { |
548 | // | |
3a0f6479 | 549 | // Take the 1D profiles (average pulse height), projections of the 2D PH |
550 | // on the Xaxis, for each calibration group | |
551 | // Reconstruct a drift velocity | |
552 | // A first calibration of T0 is also made using the same method | |
55a288e5 | 553 | // |
554 | ||
3a0f6479 | 555 | // Set the calibration mode |
556 | const char *name = ph->GetTitle(); | |
64942b85 | 557 | if(!SetModeCalibration(name,1)) return kFALSE; |
3a0f6479 | 558 | |
6aafa7ea | 559 | //printf("Mode calibration set\n"); |
560 | ||
3a0f6479 | 561 | // Number of Xbins (detectors or groups of pads) |
562 | Int_t nbins = ph->GetNbinsX();// time | |
563 | Int_t nybins = ph->GetNbinsY();// calibration group | |
564 | if (!InitFit(nybins,1)) { | |
55a288e5 | 565 | return kFALSE; |
566 | } | |
6aafa7ea | 567 | |
568 | //printf("Init fit\n"); | |
569 | ||
3a0f6479 | 570 | if (!InitFitPH()) { |
55a288e5 | 571 | return kFALSE; |
572 | } | |
6aafa7ea | 573 | |
574 | //printf("Init fit PH\n"); | |
575 | ||
55a288e5 | 576 | fStatisticMean = 0.0; |
577 | fNumberFit = 0; | |
578 | fNumberFitSuccess = 0; | |
579 | fNumberEnt = 0; | |
55a288e5 | 580 | // Init fCountDet and fCount |
3a0f6479 | 581 | InitfCountDetAndfCount(1); |
6aafa7ea | 582 | //printf("Init Count Det and fCount %d, %d\n",fDect1,fDect2); |
583 | ||
3a0f6479 | 584 | // Beginning of the loop |
585 | for (Int_t idect = fDect1; idect < fDect2; idect++) { | |
6aafa7ea | 586 | //printf("idect = %d\n",idect); |
3a0f6479 | 587 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... |
588 | UpdatefCountDetAndfCount(idect,1); | |
589 | ReconstructFitRowMinRowMax(idect,1); | |
590 | // Take the histo | |
591 | TH1D *projph = (TH1D *) ph->ProjectionX("projph",idect+1,idect+1,(Option_t *) "e"); | |
592 | projph->SetDirectory(0); | |
593 | // Number of entries for this calibration group | |
594 | Double_t nentries = 0; | |
595 | for (Int_t k = 0; k < nbins; k++) { | |
596 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
597 | nentries += ph->GetBinEntries(binnb); | |
55a288e5 | 598 | } |
55a288e5 | 599 | if (nentries > 0) { |
3a0f6479 | 600 | fNumberEnt++; |
601 | } | |
602 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
603 | // This detector has not enough statistics or was off | |
604 | if (nentries <= fMinEntries) { | |
605 | //printf("Not enough statistic!\n"); | |
64942b85 | 606 | NotEnoughStatisticPH(idect,nentries); |
3a0f6479 | 607 | if (fDebugLevel != 1) { |
608 | delete projph; | |
609 | } | |
55a288e5 | 610 | continue; |
55a288e5 | 611 | } |
3a0f6479 | 612 | // Statistics of the histos fitted |
55a288e5 | 613 | fNumberFit++; |
614 | fStatisticMean += nentries; | |
3a0f6479 | 615 | // Calcul of "real" coef |
616 | CalculVdriftCoefMean(); | |
617 | CalculT0CoefMean(); | |
618 | //Method choosen | |
6aafa7ea | 619 | //printf("Method\n"); |
3a0f6479 | 620 | switch(fMethod) |
621 | { | |
622 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
623 | case 1: FitPente((TH1 *) projph); break; | |
624 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
625 | default: return kFALSE; | |
626 | } | |
627 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
64942b85 | 628 | FillInfosFitPH(idect,nentries); |
3a0f6479 | 629 | // Memory!!! |
630 | if (fDebugLevel != 1) { | |
631 | delete projph; | |
55a288e5 | 632 | } |
55a288e5 | 633 | } // Boucle object |
55a288e5 | 634 | // Mean Statistic |
635 | if (fNumberFit > 0) { | |
3a0f6479 | 636 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); |
55a288e5 | 637 | fStatisticMean = fStatisticMean / fNumberFit; |
638 | } | |
639 | else { | |
640 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
641 | } | |
3a0f6479 | 642 | delete fDebugStreamer; |
643 | fDebugStreamer = 0x0; | |
55a288e5 | 644 | return kTRUE; |
55a288e5 | 645 | } |
3a0f6479 | 646 | //____________Functions fit Online PH2d________________________________________ |
647 | Bool_t AliTRDCalibraFit::AnalysePH(AliTRDCalibraVector *calvect) | |
55a288e5 | 648 | { |
649 | // | |
3a0f6479 | 650 | // Reconstruct the average pulse height from the vectorPH for each |
651 | // calibration group | |
652 | // Reconstruct a drift velocity | |
55a288e5 | 653 | // A first calibration of T0 is also made using the same method (slope method) |
654 | // | |
655 | ||
3a0f6479 | 656 | // Set the calibration mode |
657 | const char *name = calvect->GetNamePH(); | |
64942b85 | 658 | if(!SetModeCalibration(name,1)) return kFALSE; |
3a0f6479 | 659 | |
660 | // Number of Xbins (detectors or groups of pads) | |
661 | if (!InitFit((432*calvect->GetDetCha0(1)+108*calvect->GetDetCha2(1)),1)) { | |
55a288e5 | 662 | return kFALSE; |
663 | } | |
3a0f6479 | 664 | if (!InitFitPH()) { |
55a288e5 | 665 | return kFALSE; |
666 | } | |
667 | fStatisticMean = 0.0; | |
668 | fNumberFit = 0; | |
669 | fNumberFitSuccess = 0; | |
670 | fNumberEnt = 0; | |
55a288e5 | 671 | // Init fCountDet and fCount |
672 | InitfCountDetAndfCount(1); | |
55a288e5 | 673 | // Beginning of the loop |
3a0f6479 | 674 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
675 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 676 | UpdatefCountDetAndfCount(idect,1); |
55a288e5 | 677 | ReconstructFitRowMinRowMax(idect,1); |
3a0f6479 | 678 | // Take the histo |
3a0f6479 | 679 | fEntriesCurrent = 0; |
e526983e | 680 | if(!calvect->GetPHEntries(fCountDet)) { |
681 | NotEnoughStatisticPH(idect,fEntriesCurrent); | |
682 | continue; | |
3a0f6479 | 683 | } |
e526983e | 684 | TString tname("PH"); |
685 | tname += idect; | |
686 | TH1F *projph = calvect->CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPHTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname)),fEntriesCurrent); | |
687 | projph->SetDirectory(0); | |
688 | if(fEntriesCurrent > 0) fNumberEnt++; | |
3a0f6479 | 689 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); |
55a288e5 | 690 | // This detector has not enough statistics or was off |
3a0f6479 | 691 | if (fEntriesCurrent <= fMinEntries) { |
692 | //printf("Not enough stat!\n"); | |
64942b85 | 693 | NotEnoughStatisticPH(idect,fEntriesCurrent); |
55a288e5 | 694 | continue; |
55a288e5 | 695 | } |
3a0f6479 | 696 | // Statistic of the histos fitted |
55a288e5 | 697 | fNumberFit++; |
3a0f6479 | 698 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 699 | // Calcul of "real" coef |
3a0f6479 | 700 | CalculVdriftCoefMean(); |
701 | CalculT0CoefMean(); | |
702 | //Method choosen | |
703 | switch(fMethod) | |
704 | { | |
705 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
706 | case 1: FitPente((TH1 *) projph); break; | |
707 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
708 | default: return kFALSE; | |
709 | } | |
55a288e5 | 710 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
64942b85 | 711 | FillInfosFitPH(idect,fEntriesCurrent); |
55a288e5 | 712 | } // Boucle object |
e526983e | 713 | |
55a288e5 | 714 | // Mean Statistic |
715 | if (fNumberFit > 0) { | |
3a0f6479 | 716 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); |
55a288e5 | 717 | fStatisticMean = fStatisticMean / fNumberFit; |
718 | } | |
719 | else { | |
720 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
721 | } | |
3a0f6479 | 722 | delete fDebugStreamer; |
723 | fDebugStreamer = 0x0; | |
55a288e5 | 724 | return kTRUE; |
55a288e5 | 725 | } |
3a0f6479 | 726 | //____________Functions fit Online PRF2d_______________________________________ |
979b168f | 727 | Bool_t AliTRDCalibraFit::AnalysePRF(const TProfile2D *prf) |
55a288e5 | 728 | { |
729 | // | |
3a0f6479 | 730 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
731 | // on the Xaxis, for each calibration group | |
732 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 733 | // |
734 | ||
3a0f6479 | 735 | // Set the calibration mode |
736 | const char *name = prf->GetTitle(); | |
64942b85 | 737 | if(!SetModeCalibration(name,2)) return kFALSE; |
55a288e5 | 738 | |
3a0f6479 | 739 | // Number of Ybins (detectors or groups of pads) |
740 | Int_t nybins = prf->GetNbinsY();// calibration groups | |
741 | Int_t nbins = prf->GetNbinsX();// bins | |
742 | Int_t nbg = GetNumberOfGroupsPRF((const char *)prf->GetTitle()); | |
743 | if((nbg > 0) || (nbg == -1)) return kFALSE; | |
744 | if (!InitFit(nybins,2)) { | |
55a288e5 | 745 | return kFALSE; |
746 | } | |
3a0f6479 | 747 | if (!InitFitPRF()) { |
55a288e5 | 748 | return kFALSE; |
749 | } | |
750 | fStatisticMean = 0.0; | |
751 | fNumberFit = 0; | |
752 | fNumberFitSuccess = 0; | |
753 | fNumberEnt = 0; | |
55a288e5 | 754 | // Init fCountDet and fCount |
3a0f6479 | 755 | InitfCountDetAndfCount(2); |
55a288e5 | 756 | // Beginning of the loop |
3a0f6479 | 757 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
758 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
759 | UpdatefCountDetAndfCount(idect,2); | |
760 | ReconstructFitRowMinRowMax(idect,2); | |
761 | // Take the histo | |
762 | TH1D *projprf = (TH1D *) prf->ProjectionX("projprf",idect+1,idect+1,(Option_t *) "e"); | |
763 | projprf->SetDirectory(0); | |
764 | // Number of entries for this calibration group | |
765 | Double_t nentries = 0; | |
766 | for (Int_t k = 0; k < nbins; k++) { | |
767 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
768 | nentries += prf->GetBinEntries(binnb); | |
55a288e5 | 769 | } |
3a0f6479 | 770 | if(nentries > 0) fNumberEnt++; |
55a288e5 | 771 | // This detector has not enough statistics or was off |
3a0f6479 | 772 | if (nentries <= fMinEntries) { |
773 | NotEnoughStatisticPRF(idect); | |
774 | if (fDebugLevel != 1) { | |
775 | delete projprf; | |
55a288e5 | 776 | } |
55a288e5 | 777 | continue; |
55a288e5 | 778 | } |
3a0f6479 | 779 | // Statistics of the histos fitted |
55a288e5 | 780 | fNumberFit++; |
3a0f6479 | 781 | fStatisticMean += nentries; |
55a288e5 | 782 | // Calcul of "real" coef |
3a0f6479 | 783 | CalculPRFCoefMean(); |
784 | //Method choosen | |
785 | switch(fMethod) | |
786 | { | |
787 | case 0: FitPRF((TH1 *) projprf); break; | |
788 | case 1: RmsPRF((TH1 *) projprf); break; | |
789 | default: return kFALSE; | |
790 | } | |
55a288e5 | 791 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 792 | FillInfosFitPRF(idect); |
55a288e5 | 793 | // Memory!!! |
3a0f6479 | 794 | if (fDebugLevel != 1) { |
795 | delete projprf; | |
55a288e5 | 796 | } |
55a288e5 | 797 | } // Boucle object |
55a288e5 | 798 | // Mean Statistic |
799 | if (fNumberFit > 0) { | |
800 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
801 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
802 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
803 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
804 | fStatisticMean = fStatisticMean / fNumberFit; | |
805 | } | |
806 | else { | |
807 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
808 | } | |
3a0f6479 | 809 | delete fDebugStreamer; |
810 | fDebugStreamer = 0x0; | |
55a288e5 | 811 | return kTRUE; |
55a288e5 | 812 | } |
3a0f6479 | 813 | //____________Functions fit Online PRF2d_______________________________________ |
979b168f | 814 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(const TProfile2D *prf) |
55a288e5 | 815 | { |
816 | // | |
3a0f6479 | 817 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
818 | // on the Xaxis, for each calibration group | |
819 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 820 | // |
3a0f6479 | 821 | |
822 | // Set the calibration mode | |
823 | const char *name = prf->GetTitle(); | |
64942b85 | 824 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 825 | |
826 | // Number of Ybins (detectors or groups of pads) | |
827 | TAxis *xprf = prf->GetXaxis(); | |
828 | TAxis *yprf = prf->GetYaxis(); | |
829 | Int_t nybins = yprf->GetNbins();// calibration groups | |
830 | Int_t nbins = xprf->GetNbins();// bins | |
831 | Float_t lowedge = (Float_t) xprf->GetBinLowEdge(1);//lowedge in bins | |
832 | Float_t upedge = (Float_t) xprf->GetBinUpEdge(nbins);//upedge in bins | |
833 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
834 | if(nbg == -1) return kFALSE; | |
835 | if(nbg > 0) fMethod = 1; | |
836 | else fMethod = 0; | |
837 | if (!InitFit(nybins,2)) { | |
55a288e5 | 838 | return kFALSE; |
839 | } | |
3a0f6479 | 840 | if (!InitFitPRF()) { |
55a288e5 | 841 | return kFALSE; |
842 | } | |
843 | fStatisticMean = 0.0; | |
3a0f6479 | 844 | fNumberFit = 0; |
55a288e5 | 845 | fNumberFitSuccess = 0; |
846 | fNumberEnt = 0; | |
55a288e5 | 847 | // Init fCountDet and fCount |
3a0f6479 | 848 | InitfCountDetAndfCount(2); |
55a288e5 | 849 | // Beginning of the loop |
3a0f6479 | 850 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
851 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... | |
852 | UpdatefCountDetAndfCount(idect,2); | |
853 | ReconstructFitRowMinRowMax(idect,2); | |
854 | // Build the array of entries and sum | |
855 | TArrayD arraye = TArrayD(nbins); | |
856 | TArrayD arraym = TArrayD(nbins); | |
857 | TArrayD arrayme = TArrayD(nbins); | |
858 | Double_t nentries = 0; | |
859 | //printf("nbins %d\n",nbins); | |
860 | for (Int_t k = 0; k < nbins; k++) { | |
861 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
862 | Double_t entries = (Double_t)prf->GetBinEntries(binnb); | |
863 | Double_t mean = (Double_t)prf->GetBinContent(binnb); | |
864 | Double_t error = (Double_t)prf->GetBinError(binnb); | |
865 | //printf("for %d we have %f\n",k,entries); | |
866 | nentries += entries; | |
867 | arraye.AddAt(entries,k); | |
868 | arraym.AddAt(mean,k); | |
869 | arrayme.AddAt(error,k); | |
55a288e5 | 870 | } |
3a0f6479 | 871 | if(nentries > 0) fNumberEnt++; |
872 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 873 | // This detector has not enough statistics or was off |
3a0f6479 | 874 | if (nentries <= fMinEntries) { |
875 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 876 | continue; |
55a288e5 | 877 | } |
55a288e5 | 878 | // Statistics of the histos fitted |
55a288e5 | 879 | fNumberFit++; |
3a0f6479 | 880 | fStatisticMean += nentries; |
55a288e5 | 881 | // Calcul of "real" coef |
3a0f6479 | 882 | CalculPRFCoefMean(); |
883 | //Method choosen | |
884 | switch(fMethod) | |
885 | { | |
886 | case 0: FitPRFGausMI( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbins, lowedge, upedge); break; | |
887 | case 1: FitTnpRange( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbg, nbins); break; | |
888 | default: return kFALSE; | |
889 | } | |
55a288e5 | 890 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 891 | FillInfosFitPRF(idect); |
55a288e5 | 892 | } // Boucle object |
3a0f6479 | 893 | // Mean Statistic |
55a288e5 | 894 | if (fNumberFit > 0) { |
895 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
896 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
897 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
898 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
899 | fStatisticMean = fStatisticMean / fNumberFit; | |
900 | } | |
901 | else { | |
902 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
903 | } | |
3a0f6479 | 904 | delete fDebugStreamer; |
905 | fDebugStreamer = 0x0; | |
55a288e5 | 906 | return kTRUE; |
55a288e5 | 907 | } |
55a288e5 | 908 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 909 | Bool_t AliTRDCalibraFit::AnalysePRF(AliTRDCalibraVector *calvect) |
55a288e5 | 910 | { |
911 | // | |
3a0f6479 | 912 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for |
913 | // each calibration group | |
55a288e5 | 914 | // Fit with a gaussian to reconstruct the sigma of the pad response function |
55a288e5 | 915 | // |
916 | ||
3a0f6479 | 917 | // Set the calibra mode |
918 | const char *name = calvect->GetNamePRF(); | |
64942b85 | 919 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 920 | //printf("test0 %s\n",name); |
55a288e5 | 921 | |
922 | // Number of Xbins (detectors or groups of pads) | |
3a0f6479 | 923 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { |
924 | //printf("test1\n"); | |
925 | return kFALSE; | |
926 | } | |
927 | if (!InitFitPRF()) { | |
928 | ///printf("test2\n"); | |
55a288e5 | 929 | return kFALSE; |
930 | } | |
931 | fStatisticMean = 0.0; | |
932 | fNumberFit = 0; | |
933 | fNumberFitSuccess = 0; | |
934 | fNumberEnt = 0; | |
55a288e5 | 935 | // Init fCountDet and fCount |
936 | InitfCountDetAndfCount(2); | |
55a288e5 | 937 | // Beginning of the loop |
3a0f6479 | 938 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
939 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........ | |
55a288e5 | 940 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 941 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 942 | // Take the histo |
3a0f6479 | 943 | fEntriesCurrent = 0; |
e526983e | 944 | if(!calvect->GetPRFEntries(fCountDet)) { |
945 | NotEnoughStatisticPRF(idect); | |
946 | continue; | |
3a0f6479 | 947 | } |
e526983e | 948 | TString tname("PRF"); |
949 | tname += idect; | |
950 | TH1F *projprf = calvect->CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname)),fEntriesCurrent); | |
951 | projprf->SetDirectory(0); | |
952 | if(fEntriesCurrent > 0) fNumberEnt++; | |
55a288e5 | 953 | // This detector has not enough statistics or was off |
3a0f6479 | 954 | if (fEntriesCurrent <= fMinEntries) { |
955 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 956 | continue; |
55a288e5 | 957 | } |
3a0f6479 | 958 | // Statistic of the histos fitted |
55a288e5 | 959 | fNumberFit++; |
3a0f6479 | 960 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 961 | // Calcul of "real" coef |
3a0f6479 | 962 | CalculPRFCoefMean(); |
963 | //Method choosen | |
964 | switch(fMethod) | |
965 | { | |
966 | case 1: FitPRF((TH1 *) projprf); break; | |
967 | case 2: RmsPRF((TH1 *) projprf); break; | |
968 | default: return kFALSE; | |
969 | } | |
55a288e5 | 970 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 971 | FillInfosFitPRF(idect); |
55a288e5 | 972 | } // Boucle object |
3a0f6479 | 973 | // Mean Statistics |
55a288e5 | 974 | if (fNumberFit > 0) { |
3a0f6479 | 975 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); |
55a288e5 | 976 | } |
977 | else { | |
978 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
979 | } | |
3a0f6479 | 980 | delete fDebugStreamer; |
981 | fDebugStreamer = 0x0; | |
55a288e5 | 982 | return kTRUE; |
55a288e5 | 983 | } |
55a288e5 | 984 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 985 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(AliTRDCalibraVector *calvect) |
55a288e5 | 986 | { |
987 | // | |
988 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for | |
989 | // each calibration group | |
990 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 991 | // |
992 | ||
3a0f6479 | 993 | // Set the calibra mode |
994 | const char *name = calvect->GetNamePRF(); | |
64942b85 | 995 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 996 | //printf("test0 %s\n",name); |
997 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
64942b85 | 998 | //printf("test1 %d\n",nbg); |
3a0f6479 | 999 | if(nbg == -1) return kFALSE; |
1000 | if(nbg > 0) fMethod = 1; | |
1001 | else fMethod = 0; | |
1002 | // Number of Xbins (detectors or groups of pads) | |
1003 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { | |
1004 | //printf("test2\n"); | |
55a288e5 | 1005 | return kFALSE; |
1006 | } | |
3a0f6479 | 1007 | if (!InitFitPRF()) { |
1008 | //printf("test3\n"); | |
55a288e5 | 1009 | return kFALSE; |
1010 | } | |
1011 | fStatisticMean = 0.0; | |
1012 | fNumberFit = 0; | |
1013 | fNumberFitSuccess = 0; | |
1014 | fNumberEnt = 0; | |
3a0f6479 | 1015 | // Variables |
1016 | Int_t nbins = 0; | |
1017 | Double_t *arrayx = 0; | |
1018 | Double_t *arraye = 0; | |
1019 | Double_t *arraym = 0; | |
1020 | Double_t *arrayme = 0; | |
1021 | Float_t lowedge = 0.0; | |
1022 | Float_t upedge = 0.0; | |
55a288e5 | 1023 | // Init fCountDet and fCount |
1024 | InitfCountDetAndfCount(2); | |
55a288e5 | 1025 | // Beginning of the loop |
3a0f6479 | 1026 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
1027 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
55a288e5 | 1028 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 1029 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 1030 | // Take the histo |
3a0f6479 | 1031 | fEntriesCurrent = 0; |
e526983e | 1032 | if(!calvect->GetPRFEntries(fCountDet)) { |
1033 | NotEnoughStatisticPRF(idect); | |
1034 | continue; | |
3a0f6479 | 1035 | } |
e526983e | 1036 | TString tname("PRF"); |
1037 | tname += idect; | |
1038 | TGraphErrors *projprftree = calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname); | |
1039 | nbins = projprftree->GetN(); | |
1040 | arrayx = (Double_t *)projprftree->GetX(); | |
1041 | arraye = (Double_t *)projprftree->GetEX(); | |
1042 | arraym = (Double_t *)projprftree->GetY(); | |
1043 | arrayme = (Double_t *)projprftree->GetEY(); | |
1044 | Float_t step = arrayx[1]-arrayx[0]; | |
1045 | lowedge = arrayx[0] - step/2.0; | |
1046 | upedge = arrayx[(nbins-1)] + step/2.0; | |
1047 | //printf("nbins est %d\n",nbins); | |
1048 | for(Int_t k = 0; k < nbins; k++){ | |
1049 | fEntriesCurrent += (Int_t)arraye[k]; | |
1050 | //printf("for %d we have %f, %f\n",k,arraye[k],((projprftree->GetEX())[k])); | |
1051 | if(arraye[k]>0.0) arrayme[k] = TMath::Sqrt(TMath::Abs(arrayme[k]-arraym[k]*arraym[k])/arraye[k]); | |
1052 | } | |
1053 | if(fEntriesCurrent > 0) fNumberEnt++; | |
3a0f6479 | 1054 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); |
1055 | // This detector has not enough statistics or was off | |
1056 | if (fEntriesCurrent <= fMinEntries) { | |
1057 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 1058 | continue; |
55a288e5 | 1059 | } |
55a288e5 | 1060 | // Statistic of the histos fitted |
55a288e5 | 1061 | fNumberFit++; |
1062 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1063 | // Calcul of "real" coef |
3a0f6479 | 1064 | CalculPRFCoefMean(); |
1065 | //Method choosen | |
1066 | switch(fMethod) | |
1067 | { | |
1068 | case 0: FitPRFGausMI(arraye,arraym,arrayme,nbins,lowedge,upedge); break; | |
1069 | case 1: FitTnpRange(arraye,arraym,arrayme,nbg,nbins); break; | |
1070 | default: return kFALSE; | |
1071 | } | |
55a288e5 | 1072 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 1073 | FillInfosFitPRF(idect); |
55a288e5 | 1074 | } // Boucle object |
55a288e5 | 1075 | // Mean Statistics |
1076 | if (fNumberFit > 0) { | |
3a0f6479 | 1077 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); |
55a288e5 | 1078 | } |
1079 | else { | |
1080 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1081 | } | |
3a0f6479 | 1082 | delete fDebugStreamer; |
1083 | fDebugStreamer = 0x0; | |
55a288e5 | 1084 | return kTRUE; |
55a288e5 | 1085 | } |
3a0f6479 | 1086 | //____________Functions fit Online CH2d________________________________________ |
1087 | Bool_t AliTRDCalibraFit::AnalyseLinearFitters(AliTRDCalibraVdriftLinearFit *calivdli) | |
55a288e5 | 1088 | { |
1089 | // | |
3a0f6479 | 1090 | // The linear method |
55a288e5 | 1091 | // |
1092 | ||
55a288e5 | 1093 | fStatisticMean = 0.0; |
1094 | fNumberFit = 0; | |
1095 | fNumberFitSuccess = 0; | |
1096 | fNumberEnt = 0; | |
3a0f6479 | 1097 | if(!InitFitLinearFitter()) return kFALSE; |
55a288e5 | 1098 | |
3a0f6479 | 1099 | |
1100 | for(Int_t idet = 0; idet < 540; idet++){ | |
55a288e5 | 1101 | |
55a288e5 | 1102 | |
3a0f6479 | 1103 | //printf("detector number %d\n",idet); |
55a288e5 | 1104 | |
3a0f6479 | 1105 | // Take the result |
1106 | TVectorD param(2); | |
1107 | TVectorD error(3); | |
1108 | fEntriesCurrent = 0; | |
1109 | fCountDet = idet; | |
1110 | Bool_t here = calivdli->GetParam(idet,¶m); | |
1111 | Bool_t heree = calivdli->GetError(idet,&error); | |
1112 | //printf("here %d and heree %d\n",here, heree); | |
1113 | if(heree) { | |
1114 | fEntriesCurrent = (Int_t) error[2]; | |
55a288e5 | 1115 | fNumberEnt++; |
55a288e5 | 1116 | } |
3a0f6479 | 1117 | //printf("Number of entries %d\n",fEntriesCurrent); |
1118 | // Nothing found or not enough statistic | |
1119 | if((!heree) || (!here) || (fEntriesCurrent <= fMinEntries)) { | |
1120 | NotEnoughStatisticLinearFitter(); | |
1121 | continue; | |
1122 | } | |
1123 | //param.Print(); | |
1124 | //error.Print(); | |
1125 | //Statistics | |
1126 | fNumberFit++; | |
1127 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1128 | |
3a0f6479 | 1129 | // Check the fit |
1130 | if((-(param[1])) <= 0.0) { | |
1131 | NotEnoughStatisticLinearFitter(); | |
1132 | continue; | |
1133 | } | |
55a288e5 | 1134 | |
3a0f6479 | 1135 | // CalculDatabaseVdriftandTan |
1136 | CalculVdriftLorentzCoef(); | |
55a288e5 | 1137 | |
3a0f6479 | 1138 | // Statistics |
1139 | fNumberFitSuccess ++; | |
55a288e5 | 1140 | |
3a0f6479 | 1141 | // Put the fCurrentCoef |
1142 | fCurrentCoef[0] = -param[1]; | |
1143 | // here the database must be the one of the reconstruction for the lorentz angle.... | |
1144 | fCurrentCoef2[0] = (param[0]+fCurrentCoef[1]*fCurrentCoef2[1])/fCurrentCoef[0]; | |
1145 | fCurrentCoefE = error[1]; | |
1146 | fCurrentCoefE2 = error[0]; | |
1147 | if((fCurrentCoef2[0] != 0.0) && (param[0] != 0.0)){ | |
1148 | fCurrentCoefE2 = (fCurrentCoefE2/param[0]+fCurrentCoefE/fCurrentCoef[0])*fCurrentCoef2[0]; | |
1149 | } | |
55a288e5 | 1150 | |
3a0f6479 | 1151 | // Fill |
1152 | FillInfosFitLinearFitter(); | |
55a288e5 | 1153 | |
55a288e5 | 1154 | |
55a288e5 | 1155 | } |
55a288e5 | 1156 | // Mean Statistics |
1157 | if (fNumberFit > 0) { | |
3a0f6479 | 1158 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); |
55a288e5 | 1159 | } |
1160 | else { | |
1161 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1162 | } | |
3a0f6479 | 1163 | delete fDebugStreamer; |
1164 | fDebugStreamer = 0x0; | |
55a288e5 | 1165 | return kTRUE; |
1166 | ||
1167 | } | |
55a288e5 | 1168 | //____________Functions for seeing if the pad is really okey___________________ |
3a0f6479 | 1169 | //_____________________________________________________________________________ |
1170 | Int_t AliTRDCalibraFit::GetNumberOfGroupsPRF(const char* nametitle) | |
1171 | { | |
1172 | // | |
1173 | // Get numberofgroupsprf | |
1174 | // | |
1175 | ||
1176 | // Some patterns | |
1177 | const Char_t *pattern0 = "Ngp0"; | |
1178 | const Char_t *pattern1 = "Ngp1"; | |
1179 | const Char_t *pattern2 = "Ngp2"; | |
1180 | const Char_t *pattern3 = "Ngp3"; | |
1181 | const Char_t *pattern4 = "Ngp4"; | |
1182 | const Char_t *pattern5 = "Ngp5"; | |
1183 | const Char_t *pattern6 = "Ngp6"; | |
1184 | ||
1185 | // Nrphi mode | |
1186 | if (strstr(nametitle,pattern0)) { | |
1187 | return 0; | |
1188 | } | |
1189 | if (strstr(nametitle,pattern1)) { | |
1190 | return 1; | |
1191 | } | |
1192 | if (strstr(nametitle,pattern2)) { | |
1193 | return 2; | |
1194 | } | |
1195 | if (strstr(nametitle,pattern3)) { | |
1196 | return 3; | |
1197 | } | |
1198 | if (strstr(nametitle,pattern4)) { | |
1199 | return 4; | |
1200 | } | |
1201 | if (strstr(nametitle,pattern5)) { | |
1202 | return 5; | |
1203 | } | |
1204 | if (strstr(nametitle,pattern6)){ | |
1205 | return 6; | |
1206 | } | |
1207 | else return -1; | |
1208 | ||
55a288e5 | 1209 | |
3a0f6479 | 1210 | } |
55a288e5 | 1211 | //_____________________________________________________________________________ |
3a0f6479 | 1212 | Bool_t AliTRDCalibraFit::SetModeCalibration(const char *name, Int_t i) |
55a288e5 | 1213 | { |
1214 | // | |
1215 | // Set fNz[i] and fNrphi[i] of the AliTRDCalibraFit::Instance() | |
3a0f6479 | 1216 | // corresponding to the given name |
55a288e5 | 1217 | // |
1218 | ||
3a0f6479 | 1219 | if(!SetNzFromTObject(name,i)) return kFALSE; |
1220 | if(!SetNrphiFromTObject(name,i)) return kFALSE; | |
1221 | ||
1222 | return kTRUE; | |
55a288e5 | 1223 | |
3a0f6479 | 1224 | } |
1225 | //_____________________________________________________________________________ | |
1226 | Bool_t AliTRDCalibraFit::SetNrphiFromTObject(const char *name, Int_t i) | |
1227 | { | |
1228 | // | |
1229 | // Set fNrphi[i] of the AliTRDCalibraFit::Instance() | |
1230 | // corresponding to the given TObject | |
1231 | // | |
1232 | ||
55a288e5 | 1233 | // Some patterns |
55a288e5 | 1234 | const Char_t *patternrphi0 = "Nrphi0"; |
1235 | const Char_t *patternrphi1 = "Nrphi1"; | |
1236 | const Char_t *patternrphi2 = "Nrphi2"; | |
1237 | const Char_t *patternrphi3 = "Nrphi3"; | |
1238 | const Char_t *patternrphi4 = "Nrphi4"; | |
1239 | const Char_t *patternrphi5 = "Nrphi5"; | |
1240 | const Char_t *patternrphi6 = "Nrphi6"; | |
1241 | ||
64942b85 | 1242 | |
1243 | const Char_t *patternrphi10 = "Nrphi10"; | |
1244 | const Char_t *patternrphi100 = "Nrphi100"; | |
1245 | const Char_t *patternz10 = "Nz10"; | |
1246 | const Char_t *patternz100 = "Nz100"; | |
1247 | ||
55a288e5 | 1248 | // Nrphi mode |
64942b85 | 1249 | if ((strstr(name,patternrphi100)) && (strstr(name,patternz100))) { |
1250 | fCalibraMode->SetAllTogether(i); | |
1251 | fNbDet = 540; | |
1252 | if (fDebugLevel > 1) { | |
1253 | AliInfo(Form("fNbDet %d and 100",fNbDet)); | |
1254 | } | |
1255 | return kTRUE; | |
1256 | } | |
1257 | if ((strstr(name,patternrphi10)) && (strstr(name,patternz10))) { | |
1258 | fCalibraMode->SetPerSuperModule(i); | |
1259 | fNbDet = 30; | |
1260 | if (fDebugLevel > 1) { | |
1261 | AliInfo(Form("fNDet %d and 100",fNbDet)); | |
1262 | } | |
1263 | return kTRUE; | |
1264 | } | |
1265 | ||
3a0f6479 | 1266 | if (strstr(name,patternrphi0)) { |
55a288e5 | 1267 | fCalibraMode->SetNrphi(i ,0); |
64942b85 | 1268 | if (fDebugLevel > 1) { |
1269 | AliInfo(Form("fNbDet %d and 0",fNbDet)); | |
1270 | } | |
3a0f6479 | 1271 | return kTRUE; |
55a288e5 | 1272 | } |
3a0f6479 | 1273 | if (strstr(name,patternrphi1)) { |
55a288e5 | 1274 | fCalibraMode->SetNrphi(i, 1); |
64942b85 | 1275 | if (fDebugLevel > 1) { |
1276 | AliInfo(Form("fNbDet %d and 1",fNbDet)); | |
1277 | } | |
3a0f6479 | 1278 | return kTRUE; |
55a288e5 | 1279 | } |
3a0f6479 | 1280 | if (strstr(name,patternrphi2)) { |
55a288e5 | 1281 | fCalibraMode->SetNrphi(i, 2); |
64942b85 | 1282 | if (fDebugLevel > 1) { |
1283 | AliInfo(Form("fNbDet %d and 2",fNbDet)); | |
1284 | } | |
3a0f6479 | 1285 | return kTRUE; |
55a288e5 | 1286 | } |
3a0f6479 | 1287 | if (strstr(name,patternrphi3)) { |
55a288e5 | 1288 | fCalibraMode->SetNrphi(i, 3); |
64942b85 | 1289 | if (fDebugLevel > 1) { |
1290 | AliInfo(Form("fNbDet %d and 3",fNbDet)); | |
1291 | } | |
3a0f6479 | 1292 | return kTRUE; |
55a288e5 | 1293 | } |
3a0f6479 | 1294 | if (strstr(name,patternrphi4)) { |
55a288e5 | 1295 | fCalibraMode->SetNrphi(i, 4); |
64942b85 | 1296 | if (fDebugLevel > 1) { |
1297 | AliInfo(Form("fNbDet %d and 4",fNbDet)); | |
1298 | } | |
3a0f6479 | 1299 | return kTRUE; |
55a288e5 | 1300 | } |
3a0f6479 | 1301 | if (strstr(name,patternrphi5)) { |
55a288e5 | 1302 | fCalibraMode->SetNrphi(i, 5); |
64942b85 | 1303 | if (fDebugLevel > 1) { |
1304 | AliInfo(Form("fNbDet %d and 5",fNbDet)); | |
1305 | } | |
3a0f6479 | 1306 | return kTRUE; |
55a288e5 | 1307 | } |
3a0f6479 | 1308 | if (strstr(name,patternrphi6)) { |
55a288e5 | 1309 | fCalibraMode->SetNrphi(i, 6); |
64942b85 | 1310 | if (fDebugLevel > 1) { |
1311 | AliInfo(Form("fNbDet %d and 6",fNbDet)); | |
1312 | } | |
55a288e5 | 1313 | return kTRUE; |
1314 | } | |
55a288e5 | 1315 | |
64942b85 | 1316 | if (fDebugLevel > 1) { |
1317 | AliInfo(Form("fNbDet %d and rest",fNbDet)); | |
1318 | } | |
3a0f6479 | 1319 | fCalibraMode->SetNrphi(i ,0); |
1320 | return kFALSE; | |
64942b85 | 1321 | |
55a288e5 | 1322 | } |
55a288e5 | 1323 | //_____________________________________________________________________________ |
3a0f6479 | 1324 | Bool_t AliTRDCalibraFit::SetNzFromTObject(const char *name, Int_t i) |
55a288e5 | 1325 | { |
1326 | // | |
3a0f6479 | 1327 | // Set fNz[i] of the AliTRDCalibraFit::Instance() |
1328 | // corresponding to the given TObject | |
55a288e5 | 1329 | // |
3a0f6479 | 1330 | |
1331 | // Some patterns | |
1332 | const Char_t *patternz0 = "Nz0"; | |
1333 | const Char_t *patternz1 = "Nz1"; | |
1334 | const Char_t *patternz2 = "Nz2"; | |
1335 | const Char_t *patternz3 = "Nz3"; | |
1336 | const Char_t *patternz4 = "Nz4"; | |
64942b85 | 1337 | |
1338 | const Char_t *patternrphi10 = "Nrphi10"; | |
1339 | const Char_t *patternrphi100 = "Nrphi100"; | |
1340 | const Char_t *patternz10 = "Nz10"; | |
1341 | const Char_t *patternz100 = "Nz100"; | |
1342 | ||
1343 | if ((strstr(name,patternrphi100)) && (strstr(name,patternz100))) { | |
1344 | fCalibraMode->SetAllTogether(i); | |
1345 | fNbDet = 540; | |
1346 | if (fDebugLevel > 1) { | |
1347 | AliInfo(Form("fNbDet %d and 100",fNbDet)); | |
1348 | } | |
1349 | return kTRUE; | |
1350 | } | |
1351 | if ((strstr(name,patternrphi10)) && (strstr(name,patternz10))) { | |
1352 | fCalibraMode->SetPerSuperModule(i); | |
1353 | fNbDet = 30; | |
1354 | if (fDebugLevel > 1) { | |
1355 | AliInfo(Form("fNbDet %d and 10",fNbDet)); | |
1356 | } | |
1357 | return kTRUE; | |
1358 | } | |
3a0f6479 | 1359 | if (strstr(name,patternz0)) { |
1360 | fCalibraMode->SetNz(i, 0); | |
64942b85 | 1361 | if (fDebugLevel > 1) { |
1362 | AliInfo(Form("fNbDet %d and 0",fNbDet)); | |
1363 | } | |
3a0f6479 | 1364 | return kTRUE; |
55a288e5 | 1365 | } |
3a0f6479 | 1366 | if (strstr(name,patternz1)) { |
1367 | fCalibraMode->SetNz(i ,1); | |
64942b85 | 1368 | if (fDebugLevel > 1) { |
1369 | AliInfo(Form("fNbDet %d and 1",fNbDet)); | |
1370 | } | |
3a0f6479 | 1371 | return kTRUE; |
55a288e5 | 1372 | } |
3a0f6479 | 1373 | if (strstr(name,patternz2)) { |
1374 | fCalibraMode->SetNz(i ,2); | |
64942b85 | 1375 | if (fDebugLevel > 1) { |
1376 | AliInfo(Form("fNbDet %d and 2",fNbDet)); | |
1377 | } | |
3a0f6479 | 1378 | return kTRUE; |
55a288e5 | 1379 | } |
3a0f6479 | 1380 | if (strstr(name,patternz3)) { |
1381 | fCalibraMode->SetNz(i ,3); | |
64942b85 | 1382 | if (fDebugLevel > 1) { |
1383 | AliInfo(Form("fNbDet %d and 3",fNbDet)); | |
1384 | } | |
3a0f6479 | 1385 | return kTRUE; |
55a288e5 | 1386 | } |
3a0f6479 | 1387 | if (strstr(name,patternz4)) { |
1388 | fCalibraMode->SetNz(i ,4); | |
64942b85 | 1389 | if (fDebugLevel > 1) { |
1390 | AliInfo(Form("fNbDet %d and 4",fNbDet)); | |
1391 | } | |
3a0f6479 | 1392 | return kTRUE; |
55a288e5 | 1393 | } |
64942b85 | 1394 | |
1395 | if (fDebugLevel > 1) { | |
1396 | AliInfo(Form("fNbDet %d and rest",fNbDet)); | |
1397 | } | |
3a0f6479 | 1398 | fCalibraMode->SetNz(i ,0); |
1399 | return kFALSE; | |
1400 | } | |
64942b85 | 1401 | //______________________________________________________________________ |
6aafa7ea | 1402 | void AliTRDCalibraFit::RemoveOutliers(Int_t type, Bool_t perdetector){ |
1403 | // | |
1404 | // Remove the results too far from the mean value and rms | |
1405 | // type: 0 gain, 1 vdrift | |
1406 | // perdetector | |
1407 | // | |
1408 | ||
1409 | Int_t loop = (Int_t) fVectorFit.GetEntriesFast(); | |
1410 | if(loop != 540) { | |
1411 | AliInfo("The Vector Fit is not complete!"); | |
1412 | return; | |
1413 | } | |
1414 | Int_t detector = -1; | |
1415 | Int_t sector = -1; | |
1416 | Float_t value = 0.0; | |
1417 | ||
1418 | ///////////////////////////////// | |
1419 | // Calculate the mean values | |
1420 | //////////////////////////////// | |
1421 | // Initialisation | |
1422 | //////////////////////// | |
1423 | Double_t meanAll = 0.0; | |
1424 | Double_t rmsAll = 0.0; | |
1425 | Int_t countAll = 0; | |
1426 | //////////// | |
1427 | // compute | |
1428 | //////////// | |
1429 | for (Int_t k = 0; k < loop; k++) { | |
1430 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1431 | sector = GetSector(detector); | |
1432 | if(perdetector){ | |
1433 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[0]; | |
1434 | if(value > 0.0) { | |
1435 | rmsAll += value*value; | |
1436 | meanAll += value; | |
1437 | countAll++; | |
1438 | } | |
1439 | } | |
1440 | else { | |
1441 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1442 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1443 | for (Int_t row = 0; row < rowMax; row++) { | |
1444 | for (Int_t col = 0; col < colMax; col++) { | |
1445 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1446 | if(value > 0.0) { | |
1447 | rmsAll += value*value; | |
1448 | meanAll += value; | |
1449 | countAll++; | |
1450 | } | |
1451 | ||
1452 | } // Col | |
1453 | } // Row | |
1454 | } | |
1455 | } | |
1456 | if(countAll > 0) { | |
1457 | meanAll = meanAll/countAll; | |
1458 | rmsAll = TMath::Sqrt(TMath::Abs(rmsAll/countAll - (meanAll*meanAll))); | |
1459 | } | |
1460 | //printf("RemoveOutliers: meanAll %f and rmsAll %f\n",meanAll,rmsAll); | |
1461 | ///////////////////////////////////////////////// | |
1462 | // Remove outliers | |
1463 | //////////////////////////////////////////////// | |
1464 | Double_t defaultvalue = -1.0; | |
1465 | if(type==1) defaultvalue = -1.5; | |
1466 | for (Int_t k = 0; k < loop; k++) { | |
1467 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1468 | sector = GetSector(detector); | |
1469 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1470 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1471 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
1472 | ||
1473 | // remove the results too far away | |
1474 | for (Int_t row = 0; row < rowMax; row++) { | |
1475 | for (Int_t col = 0; col < colMax; col++) { | |
1476 | value = coef[(Int_t)(col*rowMax+row)]; | |
1477 | if((value > 0.0) && (rmsAll > 0.0) && (TMath::Abs(value-meanAll) > (2*rmsAll))) { | |
1478 | coef[(Int_t)(col*rowMax+row)] = defaultvalue; | |
1479 | } | |
1480 | } // Col | |
1481 | } // Row | |
1482 | } | |
1483 | } | |
1484 | //______________________________________________________________________ | |
1485 | void AliTRDCalibraFit::RemoveOutliers2(Bool_t perdetector){ | |
1486 | // | |
1487 | // Remove the results too far from the mean and rms | |
1488 | // perdetector | |
1489 | // | |
1490 | ||
1491 | Int_t loop = (Int_t) fVectorFit2.GetEntriesFast(); | |
1492 | if(loop != 540) { | |
1493 | AliInfo("The Vector Fit is not complete!"); | |
1494 | return; | |
1495 | } | |
1496 | Int_t detector = -1; | |
1497 | Int_t sector = -1; | |
1498 | Float_t value = 0.0; | |
1499 | ||
1500 | ///////////////////////////////// | |
1501 | // Calculate the mean values | |
1502 | //////////////////////////////// | |
1503 | // Initialisation | |
1504 | //////////////////////// | |
1505 | Double_t meanAll = 0.0; | |
1506 | Double_t rmsAll = 0.0; | |
1507 | Int_t countAll = 0; | |
1508 | ///////////// | |
1509 | // compute | |
1510 | //////////// | |
1511 | for (Int_t k = 0; k < loop; k++) { | |
1512 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1513 | sector = GetSector(detector); | |
1514 | if(perdetector){ | |
1515 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[0]; | |
1516 | if(value < 70.0) { | |
1517 | meanAll += value; | |
1518 | rmsAll += value*value; | |
1519 | countAll++; | |
1520 | } | |
1521 | } | |
1522 | else { | |
1523 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1524 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1525 | for (Int_t row = 0; row < rowMax; row++) { | |
1526 | for (Int_t col = 0; col < colMax; col++) { | |
1527 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1528 | if(value < 70.0) { | |
1529 | rmsAll += value*value; | |
1530 | meanAll += value; | |
1531 | countAll++; | |
1532 | } | |
1533 | } // Col | |
1534 | } // Row | |
1535 | } | |
1536 | } | |
1537 | if(countAll > 0) { | |
1538 | meanAll = meanAll/countAll; | |
1539 | rmsAll = TMath::Sqrt(TMath::Abs(rmsAll/countAll - (meanAll*meanAll))); | |
1540 | } | |
1541 | //printf("Remove outliers 2: meanAll %f, rmsAll %f\n",meanAll,rmsAll); | |
1542 | ///////////////////////////////////////////////// | |
1543 | // Remove outliers | |
1544 | //////////////////////////////////////////////// | |
1545 | for (Int_t k = 0; k < loop; k++) { | |
1546 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1547 | sector = GetSector(detector); | |
1548 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1549 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1550 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef(); | |
1551 | ||
1552 | // remove the results too far away | |
1553 | for (Int_t row = 0; row < rowMax; row++) { | |
1554 | for (Int_t col = 0; col < colMax; col++) { | |
1555 | value = coef[(Int_t)(col*rowMax+row)]; | |
1556 | if((value < 70.0) && (rmsAll > 0.0) && (TMath::Abs(value-meanAll) > (2.5*rmsAll))) coef[(Int_t)(col*rowMax+row)] = 100.0; | |
1557 | } // Col | |
1558 | } // Row | |
1559 | } | |
1560 | } | |
1561 | //______________________________________________________________________ | |
64942b85 | 1562 | void AliTRDCalibraFit::PutMeanValueOtherVectorFit(Int_t ofwhat, Bool_t perdetector){ |
1563 | // | |
1564 | // ofwhat is equaled to 0: mean value of all passing detectors | |
1565 | // ofwhat is equaled to 1: mean value of the detector, otherwise supermodule, otherwise all | |
1566 | // | |
1567 | ||
1568 | Int_t loop = (Int_t) fVectorFit.GetEntriesFast(); | |
1569 | if(loop != 540) { | |
1570 | AliInfo("The Vector Fit is not complete!"); | |
1571 | return; | |
1572 | } | |
1573 | Int_t detector = -1; | |
1574 | Int_t sector = -1; | |
1575 | Float_t value = 0.0; | |
1576 | ||
1577 | ///////////////////////////////// | |
1578 | // Calculate the mean values | |
1579 | //////////////////////////////// | |
1580 | // Initialisation | |
1581 | //////////////////////// | |
1582 | Double_t meanAll = 0.0; | |
1583 | Double_t meanSupermodule[18]; | |
1584 | Double_t meanDetector[540]; | |
6aafa7ea | 1585 | Double_t rmsAll = 0.0; |
1586 | Double_t rmsSupermodule[18]; | |
1587 | Double_t rmsDetector[540]; | |
64942b85 | 1588 | Int_t countAll = 0; |
1589 | Int_t countSupermodule[18]; | |
1590 | Int_t countDetector[540]; | |
1591 | for(Int_t sm = 0; sm < 18; sm++){ | |
6aafa7ea | 1592 | rmsSupermodule[sm] = 0.0; |
64942b85 | 1593 | meanSupermodule[sm] = 0.0; |
1594 | countSupermodule[sm] = 0; | |
1595 | } | |
1596 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1597 | rmsDetector[det] = 0.0; |
64942b85 | 1598 | meanDetector[det] = 0.0; |
1599 | countDetector[det] = 0; | |
1600 | } | |
6aafa7ea | 1601 | //////////// |
64942b85 | 1602 | // compute |
1603 | //////////// | |
1604 | for (Int_t k = 0; k < loop; k++) { | |
1605 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1606 | sector = GetSector(detector); | |
1607 | if(perdetector){ | |
1608 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[0]; | |
1609 | if(value > 0.0) { | |
6aafa7ea | 1610 | rmsDetector[detector] += value*value; |
64942b85 | 1611 | meanDetector[detector] += value; |
1612 | countDetector[detector]++; | |
6aafa7ea | 1613 | rmsSupermodule[sector] += value*value; |
64942b85 | 1614 | meanSupermodule[sector] += value; |
1615 | countSupermodule[sector]++; | |
6aafa7ea | 1616 | rmsAll += value*value; |
64942b85 | 1617 | meanAll += value; |
1618 | countAll++; | |
1619 | } | |
1620 | } | |
1621 | else { | |
1622 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1623 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1624 | for (Int_t row = 0; row < rowMax; row++) { | |
1625 | for (Int_t col = 0; col < colMax; col++) { | |
1626 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1627 | if(value > 0.0) { | |
6aafa7ea | 1628 | rmsDetector[detector] += value*value; |
64942b85 | 1629 | meanDetector[detector] += value; |
1630 | countDetector[detector]++; | |
6aafa7ea | 1631 | rmsSupermodule[sector] += value*value; |
64942b85 | 1632 | meanSupermodule[sector] += value; |
1633 | countSupermodule[sector]++; | |
6aafa7ea | 1634 | rmsAll += value*value; |
64942b85 | 1635 | meanAll += value; |
1636 | countAll++; | |
1637 | } | |
1638 | ||
1639 | } // Col | |
1640 | } // Row | |
1641 | } | |
1642 | } | |
6aafa7ea | 1643 | if(countAll > 0) { |
1644 | meanAll = meanAll/countAll; | |
1645 | rmsAll = TMath::Abs(rmsAll/countAll - (meanAll*meanAll)); | |
1646 | } | |
64942b85 | 1647 | for(Int_t sm = 0; sm < 18; sm++){ |
6aafa7ea | 1648 | if(countSupermodule[sm] > 0) { |
1649 | meanSupermodule[sm] = meanSupermodule[sm]/countSupermodule[sm]; | |
1650 | rmsSupermodule[sm] = TMath::Abs(rmsSupermodule[sm]/countSupermodule[sm] - (meanSupermodule[sm]*meanSupermodule[sm])); | |
1651 | } | |
64942b85 | 1652 | } |
1653 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1654 | if(countDetector[det] > 0) { |
1655 | meanDetector[det] = meanDetector[det]/countDetector[det]; | |
1656 | rmsDetector[det] = TMath::Abs(rmsDetector[det]/countDetector[det] - (meanDetector[det]*meanDetector[det])); | |
1657 | } | |
64942b85 | 1658 | } |
6aafa7ea | 1659 | //printf("Put mean value, meanAll %f, rmsAll %f\n",meanAll,rmsAll); |
1660 | /////////////////////////////////////////////// | |
64942b85 | 1661 | // Put the mean value for the no-fitted |
1662 | ///////////////////////////////////////////// | |
1663 | for (Int_t k = 0; k < loop; k++) { | |
1664 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1665 | sector = GetSector(detector); | |
1666 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1667 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1668 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
1669 | ||
1670 | for (Int_t row = 0; row < rowMax; row++) { | |
1671 | for (Int_t col = 0; col < colMax; col++) { | |
1672 | value = coef[(Int_t)(col*rowMax+row)]; | |
1673 | if(value < 0.0) { | |
6aafa7ea | 1674 | if((ofwhat == 0) && (meanAll > 0.0) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanAll); |
64942b85 | 1675 | if(ofwhat == 1){ |
6aafa7ea | 1676 | if((meanDetector[detector] > 0.0) && (countDetector[detector] > 20)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanDetector[detector]); |
1677 | else if((meanSupermodule[sector] > 0.0) && (countSupermodule[sector] > 15)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanSupermodule[sector]); | |
1678 | else if((meanAll > 0.0) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanAll); | |
64942b85 | 1679 | } |
1680 | } | |
1681 | // Debug | |
1682 | if(fDebugLevel > 1){ | |
1683 | ||
1684 | if ( !fDebugStreamer ) { | |
1685 | //debug stream | |
1686 | TDirectory *backup = gDirectory; | |
1687 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
1688 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
1689 | } | |
1690 | ||
1691 | Float_t coefnow = coef[(Int_t)(col*rowMax+row)]; | |
1692 | ||
1693 | (* fDebugStreamer) << "PutMeanValueOtherVectorFit"<< | |
1694 | "detector="<<detector<< | |
1695 | "sector="<<sector<< | |
1696 | "row="<<row<< | |
1697 | "col="<<col<< | |
1698 | "before="<<value<< | |
1699 | "after="<<coefnow<< | |
1700 | "\n"; | |
1701 | } | |
1702 | } // Col | |
1703 | } // Row | |
1704 | } | |
64942b85 | 1705 | } |
1706 | //______________________________________________________________________ | |
1707 | void AliTRDCalibraFit::PutMeanValueOtherVectorFit2(Int_t ofwhat, Bool_t perdetector){ | |
1708 | // | |
1709 | // ofwhat is equaled to 0: mean value of all passing detectors | |
1710 | // ofwhat is equaled to 1: mean value of the detector, otherwise supermodule, otherwise all | |
1711 | // | |
1712 | ||
1713 | Int_t loop = (Int_t) fVectorFit2.GetEntriesFast(); | |
1714 | if(loop != 540) { | |
1715 | AliInfo("The Vector Fit is not complete!"); | |
1716 | return; | |
1717 | } | |
1718 | Int_t detector = -1; | |
1719 | Int_t sector = -1; | |
1720 | Float_t value = 0.0; | |
1721 | ||
1722 | ///////////////////////////////// | |
1723 | // Calculate the mean values | |
1724 | //////////////////////////////// | |
1725 | // Initialisation | |
1726 | //////////////////////// | |
1727 | Double_t meanAll = 0.0; | |
6aafa7ea | 1728 | Double_t rmsAll = 0.0; |
64942b85 | 1729 | Double_t meanSupermodule[18]; |
6aafa7ea | 1730 | Double_t rmsSupermodule[18]; |
64942b85 | 1731 | Double_t meanDetector[540]; |
6aafa7ea | 1732 | Double_t rmsDetector[540]; |
64942b85 | 1733 | Int_t countAll = 0; |
1734 | Int_t countSupermodule[18]; | |
1735 | Int_t countDetector[540]; | |
1736 | for(Int_t sm = 0; sm < 18; sm++){ | |
6aafa7ea | 1737 | rmsSupermodule[sm] = 0.0; |
64942b85 | 1738 | meanSupermodule[sm] = 0.0; |
1739 | countSupermodule[sm] = 0; | |
1740 | } | |
1741 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1742 | rmsDetector[det] = 0.0; |
64942b85 | 1743 | meanDetector[det] = 0.0; |
1744 | countDetector[det] = 0; | |
1745 | } | |
1746 | // compute | |
1747 | //////////// | |
1748 | for (Int_t k = 0; k < loop; k++) { | |
1749 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1750 | sector = GetSector(detector); | |
1751 | if(perdetector){ | |
1752 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[0]; | |
1753 | if(value < 70.0) { | |
6aafa7ea | 1754 | rmsDetector[detector] += value*value; |
64942b85 | 1755 | meanDetector[detector] += value; |
1756 | countDetector[detector]++; | |
6aafa7ea | 1757 | rmsSupermodule[sector] += value*value; |
64942b85 | 1758 | meanSupermodule[sector] += value; |
1759 | countSupermodule[sector]++; | |
1760 | meanAll += value; | |
6aafa7ea | 1761 | rmsAll += value*value; |
64942b85 | 1762 | countAll++; |
1763 | } | |
1764 | } | |
1765 | else { | |
1766 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1767 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1768 | for (Int_t row = 0; row < rowMax; row++) { | |
1769 | for (Int_t col = 0; col < colMax; col++) { | |
1770 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1771 | if(value < 70.0) { | |
6aafa7ea | 1772 | rmsDetector[detector] += value*value; |
64942b85 | 1773 | meanDetector[detector] += value; |
1774 | countDetector[detector]++; | |
6aafa7ea | 1775 | rmsSupermodule[sector] += value*value; |
64942b85 | 1776 | meanSupermodule[sector] += value; |
1777 | countSupermodule[sector]++; | |
6aafa7ea | 1778 | rmsAll += value*value; |
64942b85 | 1779 | meanAll += value; |
1780 | countAll++; | |
1781 | } | |
1782 | ||
1783 | } // Col | |
1784 | } // Row | |
1785 | } | |
1786 | } | |
6aafa7ea | 1787 | if(countAll > 0) { |
1788 | meanAll = meanAll/countAll; | |
1789 | rmsAll = TMath::Abs(rmsAll/countAll - (meanAll*meanAll)); | |
1790 | } | |
64942b85 | 1791 | for(Int_t sm = 0; sm < 18; sm++){ |
6aafa7ea | 1792 | if(countSupermodule[sm] > 0) { |
1793 | meanSupermodule[sm] = meanSupermodule[sm]/countSupermodule[sm]; | |
1794 | rmsSupermodule[sm] = TMath::Abs(rmsSupermodule[sm]/countSupermodule[sm] - (meanSupermodule[sm]*meanSupermodule[sm])); | |
1795 | } | |
64942b85 | 1796 | } |
1797 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1798 | if(countDetector[det] > 0) { |
1799 | meanDetector[det] = meanDetector[det]/countDetector[det]; | |
1800 | rmsDetector[det] = TMath::Abs(rmsDetector[det]/countDetector[det] - (meanDetector[det]*meanDetector[det])); | |
1801 | } | |
64942b85 | 1802 | } |
6aafa7ea | 1803 | //printf("Put mean value 2: meanAll %f, rmsAll %f\n",meanAll,rmsAll); |
1804 | //////////////////////////////////////////// | |
64942b85 | 1805 | // Put the mean value for the no-fitted |
1806 | ///////////////////////////////////////////// | |
1807 | for (Int_t k = 0; k < loop; k++) { | |
1808 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1809 | sector = GetSector(detector); | |
1810 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1811 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1812 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef(); | |
1813 | ||
1814 | for (Int_t row = 0; row < rowMax; row++) { | |
1815 | for (Int_t col = 0; col < colMax; col++) { | |
1816 | value = coef[(Int_t)(col*rowMax+row)]; | |
1817 | if(value > 70.0) { | |
6aafa7ea | 1818 | if((ofwhat == 0) && (meanAll > -1.5) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = meanAll+100.0; |
64942b85 | 1819 | if(ofwhat == 1){ |
6aafa7ea | 1820 | if((meanDetector[detector] > -1.5) && (countDetector[detector] > 20)) coef[(Int_t)(col*rowMax+row)] = meanDetector[detector]+100.0; |
1821 | else if((meanSupermodule[sector] > -1.5) && (countSupermodule[sector] > 15)) coef[(Int_t)(col*rowMax+row)] = meanSupermodule[sector]+100.0; | |
1822 | else if((meanAll > -1.5) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = meanAll+100.0; | |
64942b85 | 1823 | } |
1824 | } | |
1825 | // Debug | |
1826 | if(fDebugLevel > 1){ | |
1827 | ||
1828 | if ( !fDebugStreamer ) { | |
1829 | //debug stream | |
1830 | TDirectory *backup = gDirectory; | |
1831 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
1832 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
1833 | } | |
1834 | ||
1835 | Float_t coefnow = coef[(Int_t)(col*rowMax+row)]; | |
1836 | ||
1837 | (* fDebugStreamer) << "PutMeanValueOtherVectorFit2"<< | |
1838 | "detector="<<detector<< | |
1839 | "sector="<<sector<< | |
1840 | "row="<<row<< | |
1841 | "col="<<col<< | |
1842 | "before="<<value<< | |
1843 | "after="<<coefnow<< | |
1844 | "\n"; | |
1845 | } | |
1846 | } // Col | |
1847 | } // Row | |
1848 | } | |
1849 | ||
1850 | } | |
3a0f6479 | 1851 | //_____________________________________________________________________________ |
979b168f | 1852 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectVdrift(const TObjArray *vectorFit, Bool_t perdetector) |
3a0f6479 | 1853 | { |
1854 | // | |
1855 | // It creates the AliTRDCalDet object from the AliTRDFitInfo | |
1856 | // It takes the mean value of the coefficients per detector | |
1857 | // This object has to be written in the database | |
1858 | // | |
55a288e5 | 1859 | |
3a0f6479 | 1860 | // Create the DetObject |
1861 | AliTRDCalDet *object = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
1862 | ||
1863 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1864 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1865 | Int_t detector = -1; | |
1866 | Float_t value = 0.0; | |
64942b85 | 1867 | |
1868 | // | |
3a0f6479 | 1869 | for (Int_t k = 0; k < loop; k++) { |
1870 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1871 | Float_t mean = 0.0; | |
1872 | if(perdetector){ | |
1873 | mean = TMath::Abs(((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]); | |
55a288e5 | 1874 | } |
1875 | else { | |
3a0f6479 | 1876 | Int_t count = 0; |
053767a4 | 1877 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
1878 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 1879 | for (Int_t row = 0; row < rowMax; row++) { |
1880 | for (Int_t col = 0; col < colMax; col++) { | |
1881 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1882 | mean += TMath::Abs(value); | |
1883 | count++; | |
1884 | } // Col | |
1885 | } // Row | |
1886 | if(count > 0) mean = mean/count; | |
55a288e5 | 1887 | } |
1888 | object->SetValue(detector,mean); | |
1889 | } | |
3a0f6479 | 1890 | |
55a288e5 | 1891 | return object; |
55a288e5 | 1892 | } |
55a288e5 | 1893 | //_____________________________________________________________________________ |
979b168f | 1894 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectGain(const TObjArray *vectorFit, Bool_t meanOtherBefore, Double_t scaleFitFactor, Bool_t perdetector) |
55a288e5 | 1895 | { |
1896 | // | |
3a0f6479 | 1897 | // It creates the AliTRDCalDet object from the AliTRDFitInfo |
1898 | // It takes the mean value of the coefficients per detector | |
55a288e5 | 1899 | // This object has to be written in the database |
1900 | // | |
1901 | ||
1902 | // Create the DetObject | |
3a0f6479 | 1903 | AliTRDCalDet *object = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); |
55a288e5 | 1904 | |
3a0f6479 | 1905 | |
1906 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1907 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1908 | Int_t detector = -1; | |
1909 | Float_t value = 0.0; | |
1910 | ||
1911 | for (Int_t k = 0; k < loop; k++) { | |
1912 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1913 | Float_t mean = 0.0; | |
1914 | if(perdetector){ | |
1915 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
64942b85 | 1916 | if(!meanOtherBefore){ |
1917 | if(value > 0) value = value*scaleFitFactor; | |
1918 | } | |
1919 | else value = value*scaleFitFactor; | |
3a0f6479 | 1920 | mean = TMath::Abs(value); |
1921 | } | |
1922 | else{ | |
1923 | Int_t count = 0; | |
053767a4 | 1924 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
1925 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 1926 | for (Int_t row = 0; row < rowMax; row++) { |
1927 | for (Int_t col = 0; col < colMax; col++) { | |
1928 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 1929 | if(!meanOtherBefore) { |
1930 | if(value > 0) value = value*scaleFitFactor; | |
1931 | } | |
1932 | else value = value*scaleFitFactor; | |
3a0f6479 | 1933 | mean += TMath::Abs(value); |
1934 | count++; | |
1935 | } // Col | |
1936 | } // Row | |
1937 | if(count > 0) mean = mean/count; | |
1938 | } | |
1939 | object->SetValue(detector,mean); | |
55a288e5 | 1940 | } |
3a0f6479 | 1941 | |
1942 | return object; | |
1943 | } | |
1944 | //_____________________________________________________________________________ | |
979b168f | 1945 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectT0(const TObjArray *vectorFit, Bool_t perdetector) |
3a0f6479 | 1946 | { |
1947 | // | |
1948 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 | |
1949 | // It takes the min value of the coefficients per detector | |
1950 | // This object has to be written in the database | |
1951 | // | |
55a288e5 | 1952 | |
3a0f6479 | 1953 | // Create the DetObject |
1954 | AliTRDCalDet *object = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
55a288e5 | 1955 | |
3a0f6479 | 1956 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); |
1957 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1958 | Int_t detector = -1; | |
1959 | Float_t value = 0.0; | |
1960 | ||
1961 | for (Int_t k = 0; k < loop; k++) { | |
1962 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1963 | Float_t min = 100.0; | |
1964 | if(perdetector){ | |
64942b85 | 1965 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; |
1966 | // check successful | |
1967 | if(value > 70.0) value = value-100.0; | |
1968 | // | |
1969 | min = value; | |
55a288e5 | 1970 | } |
3a0f6479 | 1971 | else{ |
053767a4 | 1972 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
1973 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 1974 | for (Int_t row = 0; row < rowMax; row++) { |
1975 | for (Int_t col = 0; col < colMax; col++) { | |
1976 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 1977 | // check successful |
1978 | if(value > 70.0) value = value-100.0; | |
1979 | // | |
3a0f6479 | 1980 | if(min > value) min = value; |
1981 | } // Col | |
1982 | } // Row | |
1983 | } | |
1984 | object->SetValue(detector,min); | |
55a288e5 | 1985 | } |
1986 | ||
1987 | return object; | |
1988 | ||
1989 | } | |
55a288e5 | 1990 | //_____________________________________________________________________________ |
979b168f | 1991 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectLorentzAngle(const TObjArray *vectorFit) |
55a288e5 | 1992 | { |
1993 | // | |
3a0f6479 | 1994 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 |
1995 | // It takes the min value of the coefficients per detector | |
55a288e5 | 1996 | // This object has to be written in the database |
1997 | // | |
1998 | ||
1999 | // Create the DetObject | |
3a0f6479 | 2000 | AliTRDCalDet *object = new AliTRDCalDet("tan(lorentzangle)","tan(lorentzangle) (detector value)"); |
2001 | ||
2002 | ||
2003 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2004 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2005 | Int_t detector = -1; | |
2006 | Float_t value = 0.0; | |
55a288e5 | 2007 | |
3a0f6479 | 2008 | for (Int_t k = 0; k < loop; k++) { |
2009 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2010 | /* | |
053767a4 | 2011 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
2012 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 2013 | Float_t min = 100.0; |
2014 | for (Int_t row = 0; row < rowMax; row++) { | |
2015 | for (Int_t col = 0; col < colMax; col++) { | |
2016 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2017 | mean += -TMath::Abs(value); | |
2018 | count++; | |
55a288e5 | 2019 | } // Col |
3a0f6479 | 2020 | } // Row |
2021 | if(count > 0) mean = mean/count; | |
2022 | */ | |
2023 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
2024 | object->SetValue(detector,-TMath::Abs(value)); | |
55a288e5 | 2025 | } |
2026 | ||
2027 | return object; | |
3a0f6479 | 2028 | |
55a288e5 | 2029 | } |
55a288e5 | 2030 | //_____________________________________________________________________________ |
979b168f | 2031 | TObject *AliTRDCalibraFit::CreatePadObjectGain(const TObjArray *vectorFit, Double_t scaleFitFactor, const AliTRDCalDet *detobject) |
3a0f6479 | 2032 | { |
55a288e5 | 2033 | // |
3a0f6479 | 2034 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
2035 | // You need first to create the object for the detectors, | |
2036 | // where the mean value is put. | |
2037 | // This object has to be written in the database | |
55a288e5 | 2038 | // |
3a0f6479 | 2039 | |
2040 | // Create the DetObject | |
2041 | AliTRDCalPad *object = new AliTRDCalPad("GainFactor","GainFactor (local variations)"); | |
2042 | ||
2043 | if(!vectorFit){ | |
2044 | for(Int_t k = 0; k < 540; k++){ | |
2045 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2046 | Int_t nchannels = calROC->GetNchannels(); | |
2047 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2048 | calROC->SetValue(ch,1.0); | |
2049 | } | |
2050 | } | |
55a288e5 | 2051 | } |
3a0f6479 | 2052 | else{ |
2053 | ||
2054 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2055 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2056 | Int_t detector = -1; | |
2057 | Float_t value = 0.0; | |
2058 | ||
2059 | for (Int_t k = 0; k < loop; k++) { | |
2060 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2061 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2062 | Float_t mean = detobject->GetValue(detector); | |
2063 | if(mean == 0) continue; | |
2064 | Int_t rowMax = calROC->GetNrows(); | |
2065 | Int_t colMax = calROC->GetNcols(); | |
2066 | for (Int_t row = 0; row < rowMax; row++) { | |
2067 | for (Int_t col = 0; col < colMax; col++) { | |
2068 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2069 | if(value > 0) value = value*scaleFitFactor; | |
2070 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
2071 | } // Col | |
2072 | } // Row | |
2073 | } | |
55a288e5 | 2074 | } |
2075 | ||
3a0f6479 | 2076 | return object; |
55a288e5 | 2077 | } |
55a288e5 | 2078 | //_____________________________________________________________________________ |
979b168f | 2079 | TObject *AliTRDCalibraFit::CreatePadObjectVdrift(const TObjArray *vectorFit, const AliTRDCalDet *detobject) |
3a0f6479 | 2080 | { |
55a288e5 | 2081 | // |
3a0f6479 | 2082 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
2083 | // You need first to create the object for the detectors, | |
2084 | // where the mean value is put. | |
2085 | // This object has to be written in the database | |
55a288e5 | 2086 | // |
2087 | ||
3a0f6479 | 2088 | // Create the DetObject |
2089 | AliTRDCalPad *object = new AliTRDCalPad("LocalVdrift","TRD drift velocities (local variations)"); | |
2090 | ||
2091 | if(!vectorFit){ | |
2092 | for(Int_t k = 0; k < 540; k++){ | |
2093 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2094 | Int_t nchannels = calROC->GetNchannels(); | |
2095 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2096 | calROC->SetValue(ch,1.0); | |
2097 | } | |
2098 | } | |
55a288e5 | 2099 | } |
2100 | else { | |
3a0f6479 | 2101 | |
2102 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2103 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2104 | Int_t detector = -1; | |
2105 | Float_t value = 0.0; | |
2106 | ||
2107 | for (Int_t k = 0; k < loop; k++) { | |
2108 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2109 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2110 | Float_t mean = detobject->GetValue(detector); | |
2111 | if(mean == 0) continue; | |
2112 | Int_t rowMax = calROC->GetNrows(); | |
2113 | Int_t colMax = calROC->GetNcols(); | |
2114 | for (Int_t row = 0; row < rowMax; row++) { | |
2115 | for (Int_t col = 0; col < colMax; col++) { | |
2116 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2117 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
2118 | } // Col | |
2119 | } // Row | |
2120 | } | |
55a288e5 | 2121 | } |
3a0f6479 | 2122 | return object; |
55a288e5 | 2123 | |
2124 | } | |
55a288e5 | 2125 | //_____________________________________________________________________________ |
979b168f | 2126 | TObject *AliTRDCalibraFit::CreatePadObjectT0(const TObjArray *vectorFit, const AliTRDCalDet *detobject) |
3a0f6479 | 2127 | { |
55a288e5 | 2128 | // |
3a0f6479 | 2129 | // It Creates the AliTRDCalPad object from AliTRDFitInfo2 |
2130 | // You need first to create the object for the detectors, | |
2131 | // where the mean value is put. | |
2132 | // This object has to be written in the database | |
55a288e5 | 2133 | // |
3a0f6479 | 2134 | |
2135 | // Create the DetObject | |
2136 | AliTRDCalPad *object = new AliTRDCalPad("LocalT0","T0 (local variations)"); | |
2137 | ||
2138 | if(!vectorFit){ | |
2139 | for(Int_t k = 0; k < 540; k++){ | |
2140 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2141 | Int_t nchannels = calROC->GetNchannels(); | |
2142 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2143 | calROC->SetValue(ch,0.0); | |
2144 | } | |
2145 | } | |
55a288e5 | 2146 | } |
2147 | else { | |
3a0f6479 | 2148 | |
2149 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2150 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2151 | Int_t detector = -1; | |
2152 | Float_t value = 0.0; | |
2153 | ||
2154 | for (Int_t k = 0; k < loop; k++) { | |
2155 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2156 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2157 | Float_t min = detobject->GetValue(detector); | |
2158 | Int_t rowMax = calROC->GetNrows(); | |
2159 | Int_t colMax = calROC->GetNcols(); | |
2160 | for (Int_t row = 0; row < rowMax; row++) { | |
2161 | for (Int_t col = 0; col < colMax; col++) { | |
2162 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 2163 | // check successful |
2164 | if(value > 70.0) value = value - 100.0; | |
2165 | // | |
3a0f6479 | 2166 | calROC->SetValue(col,row,value-min); |
2167 | } // Col | |
2168 | } // Row | |
2169 | } | |
55a288e5 | 2170 | } |
3a0f6479 | 2171 | return object; |
55a288e5 | 2172 | |
2173 | } | |
3a0f6479 | 2174 | //_____________________________________________________________________________ |
979b168f | 2175 | TObject *AliTRDCalibraFit::CreatePadObjectPRF(const TObjArray *vectorFit) |
3a0f6479 | 2176 | { |
2177 | // | |
2178 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
2179 | // This object has to be written in the database | |
2180 | // | |
2181 | ||
2182 | // Create the DetObject | |
2183 | AliTRDCalPad *object = new AliTRDCalPad("PRFWidth","PRFWidth"); | |
2184 | ||
2185 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2186 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2187 | Int_t detector = -1; | |
2188 | Float_t value = 0.0; | |
55a288e5 | 2189 | |
3a0f6479 | 2190 | for (Int_t k = 0; k < loop; k++) { |
2191 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2192 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2193 | Int_t rowMax = calROC->GetNrows(); | |
2194 | Int_t colMax = calROC->GetNcols(); | |
2195 | for (Int_t row = 0; row < rowMax; row++) { | |
2196 | for (Int_t col = 0; col < colMax; col++) { | |
2197 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2198 | calROC->SetValue(col,row,TMath::Abs(value)); | |
2199 | } // Col | |
2200 | } // Row | |
2201 | } | |
2202 | ||
2203 | return object; | |
2204 | ||
2205 | } | |
55a288e5 | 2206 | //_____________________________________________________________________________ |
979b168f | 2207 | AliTRDCalDet *AliTRDCalibraFit::MakeOutliersStatDet(const TObjArray *vectorFit, const char *name, Double_t &mean) |
3a0f6479 | 2208 | { |
2209 | // | |
2210 | // It Creates the AliTRDCalDet object from AliTRDFitInfo | |
2211 | // 0 successful fit 1 not successful fit | |
2212 | // mean is the mean value over the successful fit | |
2213 | // do not use it for t0: no meaning | |
2214 | // | |
2215 | ||
2216 | // Create the CalObject | |
2217 | AliTRDCalDet *object = new AliTRDCalDet(name,name); | |
2218 | mean = 0.0; | |
2219 | Int_t count = 0; | |
2220 | ||
2221 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2222 | if(loop != 540) { | |
2223 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
2224 | for(Int_t k = 0; k < 540; k++){ | |
2225 | object->SetValue(k,1.0); | |
2226 | } | |
2227 | } | |
2228 | Int_t detector = -1; | |
2229 | Float_t value = 0.0; | |
2230 | ||
2231 | for (Int_t k = 0; k < loop; k++) { | |
2232 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2233 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
2234 | if(value <= 0) object->SetValue(detector,1.0); | |
2235 | else { | |
2236 | object->SetValue(detector,0.0); | |
2237 | mean += value; | |
2238 | count++; | |
2239 | } | |
2240 | } | |
2241 | if(count > 0) mean /= count; | |
2242 | return object; | |
2243 | } | |
2244 | //_____________________________________________________________________________ | |
979b168f | 2245 | TObject *AliTRDCalibraFit::MakeOutliersStatPad(const TObjArray *vectorFit, const char *name, Double_t &mean) |
3a0f6479 | 2246 | { |
2247 | // | |
2248 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
2249 | // 0 not successful fit 1 successful fit | |
2250 | // mean mean value over the successful fit | |
2251 | // | |
2252 | ||
2253 | // Create the CalObject | |
2254 | AliTRDCalPad *object = new AliTRDCalPad(name,name); | |
2255 | mean = 0.0; | |
2256 | Int_t count = 0; | |
2257 | ||
2258 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2259 | if(loop != 540) { | |
2260 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
2261 | for(Int_t k = 0; k < 540; k++){ | |
2262 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2263 | Int_t nchannels = calROC->GetNchannels(); | |
2264 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2265 | calROC->SetValue(ch,1.0); | |
2266 | } | |
2267 | } | |
2268 | } | |
2269 | Int_t detector = -1; | |
2270 | Float_t value = 0.0; | |
2271 | ||
2272 | for (Int_t k = 0; k < loop; k++) { | |
2273 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2274 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2275 | Int_t nchannels = calROC->GetNchannels(); | |
2276 | for (Int_t ch = 0; ch < nchannels; ch++) { | |
2277 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[ch]; | |
2278 | if(value <= 0) calROC->SetValue(ch,1.0); | |
2279 | else { | |
2280 | calROC->SetValue(ch,0.0); | |
2281 | mean += value; | |
2282 | count++; | |
2283 | } | |
2284 | } // channels | |
2285 | } | |
2286 | if(count > 0) mean /= count; | |
2287 | return object; | |
2288 | } | |
2289 | //_____________________________________________________________________________ | |
2290 | void AliTRDCalibraFit::SetPeriodeFitPH(Int_t periodeFitPH) | |
55a288e5 | 2291 | { |
2292 | // | |
3a0f6479 | 2293 | // Set FitPH if 1 then each detector will be fitted |
55a288e5 | 2294 | // |
2295 | ||
3a0f6479 | 2296 | if (periodeFitPH > 0) { |
2297 | fFitPHPeriode = periodeFitPH; | |
55a288e5 | 2298 | } |
2299 | else { | |
3a0f6479 | 2300 | AliInfo("periodeFitPH must be higher than 0!"); |
55a288e5 | 2301 | } |
2302 | ||
2303 | } | |
55a288e5 | 2304 | //_____________________________________________________________________________ |
2305 | void AliTRDCalibraFit::SetBeginFitCharge(Float_t beginFitCharge) | |
2306 | { | |
2307 | // | |
2308 | // The fit of the deposited charge distribution begins at | |
2309 | // histo->Mean()/beginFitCharge | |
2310 | // You can here set beginFitCharge | |
2311 | // | |
2312 | ||
2313 | if (beginFitCharge > 0) { | |
2314 | fBeginFitCharge = beginFitCharge; | |
2315 | } | |
2316 | else { | |
2317 | AliInfo("beginFitCharge must be strict positif!"); | |
2318 | } | |
2319 | ||
2320 | } | |
2321 | ||
2322 | //_____________________________________________________________________________ | |
413153cb | 2323 | void AliTRDCalibraFit::SetT0Shift0(Float_t t0Shift) |
2324 | { | |
2325 | // | |
2326 | // The t0 calculated with the maximum positif slope is shift from t0Shift0 | |
2327 | // You can here set t0Shift0 | |
2328 | // | |
2329 | ||
2330 | if (t0Shift > 0) { | |
2331 | fT0Shift0 = t0Shift; | |
2332 | } | |
2333 | else { | |
2334 | AliInfo("t0Shift0 must be strict positif!"); | |
2335 | } | |
2336 | ||
2337 | } | |
2338 | ||
2339 | //_____________________________________________________________________________ | |
2340 | void AliTRDCalibraFit::SetT0Shift1(Float_t t0Shift) | |
55a288e5 | 2341 | { |
2342 | // | |
413153cb | 2343 | // The t0 calculated with the maximum of the amplification region is shift from t0Shift1 |
2344 | // You can here set t0Shift1 | |
55a288e5 | 2345 | // |
2346 | ||
2347 | if (t0Shift > 0) { | |
413153cb | 2348 | fT0Shift1 = t0Shift; |
55a288e5 | 2349 | } |
2350 | else { | |
2351 | AliInfo("t0Shift must be strict positif!"); | |
2352 | } | |
2353 | ||
2354 | } | |
2355 | ||
2356 | //_____________________________________________________________________________ | |
2357 | void AliTRDCalibraFit::SetRangeFitPRF(Float_t rangeFitPRF) | |
2358 | { | |
2359 | // | |
2360 | // The fit of the PRF is from -rangeFitPRF to rangeFitPRF | |
2361 | // You can here set rangeFitPRF | |
2362 | // | |
2363 | ||
2364 | if ((rangeFitPRF > 0) && | |
2365 | (rangeFitPRF <= 1.5)) { | |
2366 | fRangeFitPRF = rangeFitPRF; | |
2367 | } | |
2368 | else { | |
2369 | AliInfo("rangeFitPRF must be between 0 and 1.0"); | |
2370 | } | |
2371 | ||
2372 | } | |
2373 | ||
3a0f6479 | 2374 | //_____________________________________________________________________________ |
2375 | void AliTRDCalibraFit::SetMinEntries(Int_t minEntries) | |
2376 | { | |
2377 | // | |
2378 | // Minimum entries for fitting | |
2379 | // | |
2380 | ||
2381 | if (minEntries > 0) { | |
2382 | fMinEntries = minEntries; | |
2383 | } | |
2384 | else { | |
2385 | AliInfo("fMinEntries must be >= 0."); | |
2386 | } | |
2387 | ||
2388 | } | |
2389 | ||
55a288e5 | 2390 | //_____________________________________________________________________________ |
2391 | void AliTRDCalibraFit::SetRebin(Short_t rebin) | |
2392 | { | |
2393 | // | |
2394 | // Rebin with rebin time less bins the Ch histo | |
2395 | // You can set here rebin that should divide the number of bins of CH histo | |
2396 | // | |
2397 | ||
2398 | if (rebin > 0) { | |
2399 | fRebin = rebin; | |
2400 | AliInfo("You have to be sure that fRebin divides fNumberBinCharge used!"); | |
2401 | } | |
2402 | else { | |
2403 | AliInfo("You have to choose a positiv value!"); | |
2404 | } | |
2405 | ||
2406 | } | |
55a288e5 | 2407 | //_____________________________________________________________________________ |
3a0f6479 | 2408 | Bool_t AliTRDCalibraFit::FillVectorFit() |
55a288e5 | 2409 | { |
2410 | // | |
3a0f6479 | 2411 | // For the Fit functions fill the vector Fit |
55a288e5 | 2412 | // |
55a288e5 | 2413 | |
3a0f6479 | 2414 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 2415 | |
3a0f6479 | 2416 | Int_t ntotal = 1; |
053767a4 | 2417 | if (GetStack(fCountDet) == 2) { |
3a0f6479 | 2418 | ntotal = 1728; |
55a288e5 | 2419 | } |
3a0f6479 | 2420 | else { |
2421 | ntotal = 2304; | |
55a288e5 | 2422 | } |
3a0f6479 | 2423 | |
2424 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
2425 | Float_t *coef = new Float_t[ntotal]; | |
2426 | for (Int_t i = 0; i < ntotal; i++) { | |
2427 | coef[i] = fCurrentCoefDetector[i]; | |
55a288e5 | 2428 | } |
3a0f6479 | 2429 | |
2430 | Int_t detector = fCountDet; | |
2431 | // Set | |
2432 | fitInfo->SetCoef(coef); | |
2433 | fitInfo->SetDetector(detector); | |
2434 | fVectorFit.Add((TObject *) fitInfo); | |
2435 | ||
2436 | return kTRUE; | |
55a288e5 | 2437 | |
3a0f6479 | 2438 | } |
55a288e5 | 2439 | //_____________________________________________________________________________ |
3a0f6479 | 2440 | Bool_t AliTRDCalibraFit::FillVectorFit2() |
55a288e5 | 2441 | { |
2442 | // | |
3a0f6479 | 2443 | // For the Fit functions fill the vector Fit |
55a288e5 | 2444 | // |
55a288e5 | 2445 | |
3a0f6479 | 2446 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 2447 | |
3a0f6479 | 2448 | Int_t ntotal = 1; |
053767a4 | 2449 | if (GetStack(fCountDet) == 2) { |
3a0f6479 | 2450 | ntotal = 1728; |
55a288e5 | 2451 | } |
3a0f6479 | 2452 | else { |
2453 | ntotal = 2304; | |
55a288e5 | 2454 | } |
3a0f6479 | 2455 | |
2456 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
2457 | Float_t *coef = new Float_t[ntotal]; | |
2458 | for (Int_t i = 0; i < ntotal; i++) { | |
2459 | coef[i] = fCurrentCoefDetector2[i]; | |
55a288e5 | 2460 | } |
3a0f6479 | 2461 | |
2462 | Int_t detector = fCountDet; | |
2463 | // Set | |
2464 | fitInfo->SetCoef(coef); | |
2465 | fitInfo->SetDetector(detector); | |
2466 | fVectorFit2.Add((TObject *) fitInfo); | |
55a288e5 | 2467 | |
3a0f6479 | 2468 | return kTRUE; |
55a288e5 | 2469 | |
3a0f6479 | 2470 | } |
2471 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2472 | Bool_t AliTRDCalibraFit::InitFit(Int_t nbins, Int_t i) | |
55a288e5 | 2473 | { |
2474 | // | |
3a0f6479 | 2475 | // Init the number of expected bins and fDect1[i] fDect2[i] |
55a288e5 | 2476 | // |
2477 | ||
3a0f6479 | 2478 | gStyle->SetPalette(1); |
2479 | gStyle->SetOptStat(1111); | |
2480 | gStyle->SetPadBorderMode(0); | |
2481 | gStyle->SetCanvasColor(10); | |
2482 | gStyle->SetPadLeftMargin(0.13); | |
2483 | gStyle->SetPadRightMargin(0.01); | |
2484 | ||
2485 | // Mode groups of pads: the total number of bins! | |
2486 | CalculNumberOfBinsExpected(i); | |
2487 | ||
2488 | // Quick verification that we have the good pad calibration mode! | |
2489 | if (fNumberOfBinsExpected != nbins) { | |
64942b85 | 2490 | AliInfo(Form("It doesn't correspond to the mode of pad group calibration: expected %d and seen %d!",fNumberOfBinsExpected,nbins)); |
3a0f6479 | 2491 | return kFALSE; |
55a288e5 | 2492 | } |
3a0f6479 | 2493 | |
2494 | // Security for fDebug 3 and 4 | |
2495 | if ((fDebugLevel >= 3) && | |
2496 | ((fDet[0] > 5) || | |
2497 | (fDet[1] > 4) || | |
2498 | (fDet[2] > 17))) { | |
2499 | AliInfo("This detector doesn't exit!"); | |
2500 | return kFALSE; | |
55a288e5 | 2501 | } |
2502 | ||
3a0f6479 | 2503 | // Determine fDet1 and fDet2 and set the fNfragZ and fNfragRphi for debug 3 and 4 |
2504 | CalculDect1Dect2(i); | |
55a288e5 | 2505 | |
3a0f6479 | 2506 | |
2507 | return kTRUE; | |
55a288e5 | 2508 | } |
3a0f6479 | 2509 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2510 | Bool_t AliTRDCalibraFit::InitFitCH() | |
55a288e5 | 2511 | { |
2512 | // | |
3a0f6479 | 2513 | // Init the fVectorFitCH for normalisation |
2514 | // Init the histo for debugging | |
55a288e5 | 2515 | // |
2516 | ||
3a0f6479 | 2517 | gDirectory = gROOT; |
2518 | ||
2519 | fScaleFitFactor = 0.0; | |
2520 | fCurrentCoefDetector = new Float_t[2304]; | |
2521 | for (Int_t k = 0; k < 2304; k++) { | |
2522 | fCurrentCoefDetector[k] = 0.0; | |
2523 | } | |
2524 | fVectorFit.SetName("gainfactorscoefficients"); | |
55a288e5 | 2525 | |
3a0f6479 | 2526 | // fDebug == 0 nothing |
2527 | // fDebug == 1 and fFitVoir no histo | |
2528 | if (fDebugLevel == 1) { | |
2529 | if(!CheckFitVoir()) return kFALSE; | |
2530 | } | |
2531 | //Get the CalDet object | |
2532 | if(fAccCDB){ | |
2533 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2534 | if (!cal) { | |
2535 | AliInfo("Could not get calibDB"); | |
2536 | return kFALSE; | |
55a288e5 | 2537 | } |
3a0f6479 | 2538 | if(fCalDet) delete fCalDet; |
2539 | fCalDet = new AliTRDCalDet(*(cal->GetGainFactorDet())); | |
55a288e5 | 2540 | } |
3a0f6479 | 2541 | else{ |
2542 | Float_t devalue = 1.0; | |
2543 | if(fCalDet) delete fCalDet; | |
2544 | fCalDet = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); | |
2545 | for(Int_t k = 0; k < 540; k++){ | |
2546 | fCalDet->SetValue(k,devalue); | |
55a288e5 | 2547 | } |
2548 | } | |
3a0f6479 | 2549 | return kTRUE; |
2550 | ||
55a288e5 | 2551 | } |
3a0f6479 | 2552 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2553 | Bool_t AliTRDCalibraFit::InitFitPH() | |
55a288e5 | 2554 | { |
2555 | // | |
3a0f6479 | 2556 | // Init the arrays of results |
2557 | // Init the histos for debugging | |
55a288e5 | 2558 | // |
55a288e5 | 2559 | |
3a0f6479 | 2560 | gDirectory = gROOT; |
2561 | fVectorFit.SetName("driftvelocitycoefficients"); | |
2562 | fVectorFit2.SetName("t0coefficients"); | |
55a288e5 | 2563 | |
3a0f6479 | 2564 | fCurrentCoefDetector = new Float_t[2304]; |
2565 | for (Int_t k = 0; k < 2304; k++) { | |
2566 | fCurrentCoefDetector[k] = 0.0; | |
2567 | } | |
2568 | ||
2569 | fCurrentCoefDetector2 = new Float_t[2304]; | |
2570 | for (Int_t k = 0; k < 2304; k++) { | |
2571 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2572 | } |
2573 | ||
3a0f6479 | 2574 | //fDebug == 0 nothing |
2575 | // fDebug == 1 and fFitVoir no histo | |
2576 | if (fDebugLevel == 1) { | |
2577 | if(!CheckFitVoir()) return kFALSE; | |
2578 | } | |
2579 | //Get the CalDet object | |
2580 | if(fAccCDB){ | |
2581 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2582 | if (!cal) { | |
2583 | AliInfo("Could not get calibDB"); | |
2584 | return kFALSE; | |
2585 | } | |
2586 | if(fCalDet) delete fCalDet; | |
2587 | if(fCalDet2) delete fCalDet2; | |
2588 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2589 | fCalDet2 = new AliTRDCalDet(*(cal->GetT0Det())); | |
2590 | } | |
2591 | else{ | |
2592 | Float_t devalue = 1.5; | |
2593 | Float_t devalue2 = 0.0; | |
2594 | if(fCalDet) delete fCalDet; | |
2595 | if(fCalDet2) delete fCalDet2; | |
2596 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2597 | fCalDet2 = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
2598 | for(Int_t k = 0; k < 540; k++){ | |
2599 | fCalDet->SetValue(k,devalue); | |
2600 | fCalDet2->SetValue(k,devalue2); | |
2601 | } | |
2602 | } | |
2603 | return kTRUE; | |
55a288e5 | 2604 | } |
3a0f6479 | 2605 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2606 | Bool_t AliTRDCalibraFit::InitFitPRF() | |
55a288e5 | 2607 | { |
2608 | // | |
3a0f6479 | 2609 | // Init the calibration mode (Nz, Nrphi), the histograms for |
2610 | // debugging the fit methods if fDebug > 0, | |
2611 | // | |
2612 | ||
2613 | gDirectory = gROOT; | |
2614 | fVectorFit.SetName("prfwidthcoefficients"); | |
2615 | ||
2616 | fCurrentCoefDetector = new Float_t[2304]; | |
2617 | for (Int_t k = 0; k < 2304; k++) { | |
2618 | fCurrentCoefDetector[k] = 0.0; | |
55a288e5 | 2619 | } |
2620 | ||
3a0f6479 | 2621 | // fDebug == 0 nothing |
2622 | // fDebug == 1 and fFitVoir no histo | |
2623 | if (fDebugLevel == 1) { | |
2624 | if(!CheckFitVoir()) return kFALSE; | |
2625 | } | |
2626 | return kTRUE; | |
55a288e5 | 2627 | } |
3a0f6479 | 2628 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2629 | Bool_t AliTRDCalibraFit::InitFitLinearFitter() | |
55a288e5 | 2630 | { |
2631 | // | |
3a0f6479 | 2632 | // Init the fCalDet, fVectorFit fCurrentCoefDetector |
55a288e5 | 2633 | // |
3a0f6479 | 2634 | |
2635 | gDirectory = gROOT; | |
2636 | ||
2637 | fCurrentCoefDetector = new Float_t[2304]; | |
2638 | fCurrentCoefDetector2 = new Float_t[2304]; | |
2639 | for (Int_t k = 0; k < 2304; k++) { | |
2640 | fCurrentCoefDetector[k] = 0.0; | |
2641 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2642 | } |
2643 | ||
3a0f6479 | 2644 | //printf("test0\n"); |
2645 | ||
2646 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2647 | if (!cal) { | |
2648 | AliInfo("Could not get calibDB"); | |
2649 | return kFALSE; | |
55a288e5 | 2650 | } |
2651 | ||
3a0f6479 | 2652 | //Get the CalDet object |
2653 | if(fAccCDB){ | |
2654 | if(fCalDet) delete fCalDet; | |
2655 | if(fCalDet2) delete fCalDet2; | |
2656 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2657 | //printf("test1\n"); | |
2658 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2659 | //printf("test2\n"); | |
2660 | for(Int_t k = 0; k < 540; k++){ | |
a076fc2f | 2661 | fCalDet2->SetValue(k,AliTRDCommonParam::Instance()->GetOmegaTau(fCalDet->GetValue(k))); |
3a0f6479 | 2662 | } |
2663 | //printf("test3\n"); | |
2664 | } | |
2665 | else{ | |
2666 | Float_t devalue = 1.5; | |
a076fc2f | 2667 | Float_t devalue2 = AliTRDCommonParam::Instance()->GetOmegaTau(1.5); |
3a0f6479 | 2668 | if(fCalDet) delete fCalDet; |
2669 | if(fCalDet2) delete fCalDet2; | |
2670 | //printf("test1\n"); | |
2671 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2672 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2673 | //printf("test2\n"); | |
2674 | for(Int_t k = 0; k < 540; k++){ | |
2675 | fCalDet->SetValue(k,devalue); | |
2676 | fCalDet2->SetValue(k,devalue2); | |
2677 | } | |
2678 | //printf("test3\n"); | |
2679 | } | |
55a288e5 | 2680 | return kTRUE; |
55a288e5 | 2681 | } |
2682 | ||
2683 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3a0f6479 | 2684 | void AliTRDCalibraFit::InitfCountDetAndfCount(Int_t i) |
55a288e5 | 2685 | { |
2686 | // | |
3a0f6479 | 2687 | // Init the current detector where we are fCountDet and the |
2688 | // next fCount for the functions Fit... | |
55a288e5 | 2689 | // |
2690 | ||
3a0f6479 | 2691 | // Loop on the Xbins of ch!! |
2692 | fCountDet = -1; // Current detector | |
2693 | fCount = 0; // To find the next detector | |
2694 | ||
2695 | // If fDebug >= 3 | |
2696 | if (fDebugLevel >= 3) { | |
2697 | // Set countdet to the detector | |
2698 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2699 | // Set counter to write at the end of the detector | |
2700 | fCount = fDect2; | |
2701 | // Get the right calib objects | |
2702 | SetCalROC(i); | |
2703 | } | |
2704 | if(fDebugLevel == 1) { | |
2705 | fCountDet = 0; | |
2706 | fCalibraMode->CalculXBins(fCountDet,i); | |
6aafa7ea | 2707 | if((fCalibraMode->GetNz(i)!=100) && (fCalibraMode->GetNrphi(i)!=100)){ |
2708 | while(fCalibraMode->GetXbins(i) <=fFitVoir){ | |
2709 | fCountDet++; | |
2710 | fCalibraMode->CalculXBins(fCountDet,i); | |
2711 | //printf("GetXBins %d\n",fCalibraMode->GetXbins(i)); | |
2712 | } | |
2713 | } | |
2714 | else { | |
3a0f6479 | 2715 | fCountDet++; |
6aafa7ea | 2716 | } |
3a0f6479 | 2717 | fCount = fCalibraMode->GetXbins(i); |
2718 | fCountDet--; | |
2719 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
053767a4 | 2720 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); |
2721 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2722 | ,(Int_t) GetStack(fCountDet) | |
2723 | ,(Int_t) GetSector(fCountDet),i); | |
3a0f6479 | 2724 | } |
2725 | } | |
2726 | //_______________________________________________________________________________ | |
2727 | void AliTRDCalibraFit::CalculNumberOfBinsExpected(Int_t i) | |
2728 | { | |
2729 | // | |
2730 | // Calculate the number of bins expected (calibration groups) | |
2731 | // | |
2732 | ||
2733 | fNumberOfBinsExpected = 0; | |
64942b85 | 2734 | // All |
2735 | if((fCalibraMode->GetNz(i) == 100) && (fCalibraMode->GetNrphi(i) == 100)){ | |
2736 | fNumberOfBinsExpected = 1; | |
2737 | return; | |
2738 | } | |
2739 | // Per supermodule | |
2740 | if((fCalibraMode->GetNz(i) == 10) && (fCalibraMode->GetNrphi(i) == 10)){ | |
2741 | fNumberOfBinsExpected = 18; | |
2742 | return; | |
2743 | } | |
2744 | // More | |
55a288e5 | 2745 | fCalibraMode->ModePadCalibration(2,i); |
2746 | fCalibraMode->ModePadFragmentation(0,2,0,i); | |
2747 | fCalibraMode->SetDetChamb2(i); | |
3a0f6479 | 2748 | if (fDebugLevel > 1) { |
55a288e5 | 2749 | AliInfo(Form("For the chamber 2: %d",fCalibraMode->GetDetChamb2(i))); |
2750 | } | |
3a0f6479 | 2751 | fNumberOfBinsExpected += 6 * 18 * fCalibraMode->GetDetChamb2(i); |
55a288e5 | 2752 | fCalibraMode->ModePadCalibration(0,i); |
2753 | fCalibraMode->ModePadFragmentation(0,0,0,i); | |
2754 | fCalibraMode->SetDetChamb0(i); | |
3a0f6479 | 2755 | if (fDebugLevel > 1) { |
55a288e5 | 2756 | AliInfo(Form("For the other chamber 0: %d",fCalibraMode->GetDetChamb0(i))); |
2757 | } | |
3a0f6479 | 2758 | fNumberOfBinsExpected += 6 * 4 * 18 * fCalibraMode->GetDetChamb0(i); |
2759 | ||
2760 | } | |
2761 | //_______________________________________________________________________________ | |
2762 | void AliTRDCalibraFit::CalculDect1Dect2(Int_t i) | |
2763 | { | |
2764 | // | |
2765 | // Calculate the range of fits | |
2766 | // | |
55a288e5 | 2767 | |
3a0f6479 | 2768 | fDect1 = -1; |
2769 | fDect2 = -1; | |
2770 | if (fDebugLevel == 1) { | |
2771 | fDect1 = fFitVoir; | |
2772 | fDect2 = fDect1 +1; | |
55a288e5 | 2773 | } |
3a0f6479 | 2774 | if ((fDebugLevel == 2) || (fDebugLevel == 0)) { |
2775 | fDect1 = 0; | |
2776 | fDect2 = fNumberOfBinsExpected; | |
55a288e5 | 2777 | } |
3a0f6479 | 2778 | if (fDebugLevel >= 3) { |
2779 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2780 | fCalibraMode->CalculXBins(fCountDet,i); | |
2781 | fDect1 = fCalibraMode->GetXbins(i); | |
2782 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
053767a4 | 2783 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); |
2784 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2785 | ,(Int_t) GetStack(fCountDet) | |
2786 | ,(Int_t) GetSector(fCountDet),i); | |
3a0f6479 | 2787 | // Set for the next detector |
2788 | fDect2 = fDect1 + fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
55a288e5 | 2789 | } |
55a288e5 | 2790 | } |
3a0f6479 | 2791 | //_______________________________________________________________________________ |
2792 | Bool_t AliTRDCalibraFit::CheckFitVoir() | |
55a288e5 | 2793 | { |
2794 | // | |
3a0f6479 | 2795 | // Check if fFitVoir is in the range |
55a288e5 | 2796 | // |
2797 | ||
3a0f6479 | 2798 | if (fFitVoir < fNumberOfBinsExpected) { |
2799 | AliInfo(Form("We will see the fit of the object %d",fFitVoir)); | |
55a288e5 | 2800 | } |
3a0f6479 | 2801 | else { |
2802 | AliInfo("fFitVoir is out of range of the histo!"); | |
2803 | return kFALSE; | |
2804 | } | |
2805 | return kTRUE; | |
55a288e5 | 2806 | } |
55a288e5 | 2807 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2808 | void AliTRDCalibraFit::UpdatefCountDetAndfCount(Int_t idect, Int_t i) | |
2809 | { | |
2810 | // | |
2811 | // See if we are in a new detector and update the | |
2812 | // variables fNfragZ and fNfragRphi if yes | |
3a0f6479 | 2813 | // Will never happen for only one detector (3 and 4) |
2814 | // Doesn't matter for 2 | |
2815 | // | |
2816 | if (fCount == idect) { | |
64942b85 | 2817 | // On en est au detector (or first detector in the group) |
2818 | fCountDet += 1; | |
2819 | AliDebug(2,Form("We are at the detector %d\n",fCountDet)); | |
2820 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2821 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); | |
2822 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
053767a4 | 2823 | ,(Int_t) GetStack(fCountDet) |
2824 | ,(Int_t) GetSector(fCountDet),i); | |
64942b85 | 2825 | // Set for the next detector |
2826 | fCount += fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
2827 | // calib objects | |
2828 | SetCalROC(i); | |
2829 | } | |
55a288e5 | 2830 | } |
55a288e5 | 2831 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2832 | void AliTRDCalibraFit::ReconstructFitRowMinRowMax(Int_t idect, Int_t i) | |
2833 | { | |
2834 | // | |
2835 | // Reconstruct the min pad row, max pad row, min pad col and | |
2836 | // max pad col of the calibration group for the Fit functions | |
64942b85 | 2837 | // idect is the calibration group inside the detector |
55a288e5 | 2838 | // |
3a0f6479 | 2839 | if (fDebugLevel != 1) { |
2840 | fCalibraMode->ReconstructionRowPadGroup((Int_t) (idect-(fCount-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i)))),i); | |
55a288e5 | 2841 | } |
64942b85 | 2842 | AliDebug(2,Form("AliTRDCalibraFit::ReconstructFitRowMinRowMax: the local calibration group is %d",idect-(fCount-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i))))); |
2843 | AliDebug(2,Form("AliTRDCalibraFit::ReconstructFitRowMinRowMax: the number of group per detector is %d",fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i))); | |
55a288e5 | 2844 | } |
55a288e5 | 2845 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3a0f6479 | 2846 | Bool_t AliTRDCalibraFit::NotEnoughStatisticCH(Int_t idect) |
55a288e5 | 2847 | { |
2848 | // | |
2849 | // For the case where there are not enough entries in the histograms | |
3a0f6479 | 2850 | // of the calibration group, the value present in the choosen database |
2851 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2852 | // | |
2853 | ||
2854 | if (fDebugLevel == 1) { | |
2855 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 2856 | } |
64942b85 | 2857 | else if (fNbDet > 0){ |
2858 | Int_t firstdetector = fCountDet; | |
2859 | Int_t lastdetector = fCountDet+fNbDet; | |
2860 | AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted" | |
2861 | ,idect,firstdetector,lastdetector)); | |
2862 | // loop over detectors | |
2863 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
2864 | ||
2865 | //Set the calibration object again | |
2866 | fCountDet = det; | |
2867 | SetCalROC(0); | |
2868 | ||
2869 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2870 | // Put them at 1 | |
2871 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),0); | |
2872 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2873 | ,(Int_t) GetStack(fCountDet) | |
2874 | ,(Int_t) GetSector(fCountDet),0); | |
2875 | // Reconstruct row min row max | |
2876 | ReconstructFitRowMinRowMax(idect,0); | |
2877 | ||
2878 | // Calcul the coef from the database choosen for the detector | |
2879 | CalculChargeCoefMean(kFALSE); | |
2880 | ||
2881 | //stack 2, not stack 2 | |
2882 | Int_t factor = 0; | |
2883 | if(GetStack(fCountDet) == 2) factor = 12; | |
2884 | else factor = 16; | |
2885 | ||
2886 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
2887 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
2888 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
2889 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
2890 | } | |
2891 | } | |
2892 | ||
2893 | //Put default value negative | |
2894 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2895 | fCurrentCoefE = 0.0; | |
2896 | ||
2897 | // Fill the stuff | |
2898 | FillVectorFit(); | |
2899 | // Debug | |
2900 | if(fDebugLevel > 1){ | |
2901 | ||
2902 | if ( !fDebugStreamer ) { | |
2903 | //debug stream | |
2904 | TDirectory *backup = gDirectory; | |
2905 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); | |
2906 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2907 | } | |
2908 | ||
2909 | Int_t detector = fCountDet; | |
2910 | Int_t caligroup = idect; | |
2911 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
2912 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
2913 | Short_t colmin = fCalibraMode->GetColMin(0); | |
2914 | Short_t colmax = fCalibraMode->GetColMax(0); | |
2915 | Float_t gf = fCurrentCoef[0]; | |
2916 | Float_t gfs = fCurrentCoef[1]; | |
2917 | Float_t gfE = fCurrentCoefE; | |
2918 | ||
2919 | (*fDebugStreamer) << "FillFillCH" << | |
2920 | "detector=" << detector << | |
2921 | "caligroup=" << caligroup << | |
2922 | "rowmin=" << rowmin << | |
2923 | "rowmax=" << rowmax << | |
2924 | "colmin=" << colmin << | |
2925 | "colmax=" << colmax << | |
2926 | "gf=" << gf << | |
2927 | "gfs=" << gfs << | |
2928 | "gfE=" << gfE << | |
2929 | "\n"; | |
2930 | ||
2931 | } | |
2932 | // Reset | |
2933 | for (Int_t k = 0; k < 2304; k++) { | |
2934 | fCurrentCoefDetector[k] = 0.0; | |
2935 | } | |
2936 | ||
2937 | }// loop detector | |
2938 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
2939 | } | |
3a0f6479 | 2940 | else { |
55a288e5 | 2941 | |
3a0f6479 | 2942 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
2943 | ,idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0))),fCountDet)); | |
2944 | ||
2945 | // Calcul the coef from the database choosen | |
2946 | CalculChargeCoefMean(kFALSE); | |
55a288e5 | 2947 | |
053767a4 | 2948 | //stack 2, not stack 2 |
3a0f6479 | 2949 | Int_t factor = 0; |
053767a4 | 2950 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 2951 | else factor = 16; |
55a288e5 | 2952 | |
3a0f6479 | 2953 | // Fill the fCurrentCoefDetector with negative value to say: not fitted |
2954 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
2955 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
2956 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 2957 | } |
2958 | } | |
3a0f6479 | 2959 | |
2960 | //Put default value negative | |
2961 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2962 | fCurrentCoefE = 0.0; | |
2963 | ||
2964 | FillFillCH(idect); | |
2965 | } | |
2966 | ||
2967 | return kTRUE; | |
55a288e5 | 2968 | } |
2969 | ||
3a0f6479 | 2970 | |
2971 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
64942b85 | 2972 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPH(Int_t idect,Double_t nentries) |
55a288e5 | 2973 | { |
2974 | // | |
3a0f6479 | 2975 | // For the case where there are not enough entries in the histograms |
2976 | // of the calibration group, the value present in the choosen database | |
2977 | // will be put. A negativ sign enables to know that a fit was not possible. | |
55a288e5 | 2978 | // |
3a0f6479 | 2979 | if (fDebugLevel == 1) { |
2980 | AliInfo("The element has not enough statistic to be fitted"); | |
2981 | } | |
64942b85 | 2982 | else if (fNbDet > 0) { |
2983 | ||
2984 | Int_t firstdetector = fCountDet; | |
2985 | Int_t lastdetector = fCountDet+fNbDet; | |
2986 | AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted" | |
2987 | ,idect,firstdetector,lastdetector)); | |
2988 | // loop over detectors | |
2989 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
2990 | ||
2991 | //Set the calibration object again | |
2992 | fCountDet = det; | |
2993 | SetCalROC(1); | |
2994 | ||
2995 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2996 | // Put them at 1 | |
2997 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),1); | |
2998 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2999 | ,(Int_t) GetStack(fCountDet) | |
3000 | ,(Int_t) GetSector(fCountDet),1); | |
3001 | // Reconstruct row min row max | |
3002 | ReconstructFitRowMinRowMax(idect,1); | |
3003 | ||
3004 | // Calcul the coef from the database choosen for the detector | |
3005 | CalculVdriftCoefMean(); | |
3006 | CalculT0CoefMean(); | |
3007 | ||
3008 | //stack 2, not stack 2 | |
3009 | Int_t factor = 0; | |
3010 | if(GetStack(fCountDet) == 2) factor = 12; | |
3011 | else factor = 16; | |
3012 | ||
3013 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3014 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3015 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3016 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
3017 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[1] + 100.0; | |
3018 | } | |
3019 | } | |
3020 | ||
3021 | //Put default value negative | |
3022 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3023 | fCurrentCoefE = 0.0; | |
3024 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
3025 | fCurrentCoefE2 = 0.0; | |
3026 | ||
3027 | // Fill the stuff | |
3028 | FillVectorFit(); | |
3029 | FillVectorFit2(); | |
3030 | // Debug | |
3031 | if(fDebugLevel > 1){ | |
3032 | ||
3033 | if ( !fDebugStreamer ) { | |
3034 | //debug stream | |
3035 | TDirectory *backup = gDirectory; | |
3036 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); | |
3037 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3038 | } | |
3039 | ||
3040 | ||
3041 | Int_t detector = fCountDet; | |
3042 | Int_t caligroup = idect; | |
3043 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
3044 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
3045 | Short_t colmin = fCalibraMode->GetColMin(1); | |
3046 | Short_t colmax = fCalibraMode->GetColMax(1); | |
3047 | Float_t vf = fCurrentCoef[0]; | |
3048 | Float_t vs = fCurrentCoef[1]; | |
3049 | Float_t vfE = fCurrentCoefE; | |
3050 | Float_t t0f = fCurrentCoef2[0]; | |
3051 | Float_t t0s = fCurrentCoef2[1]; | |
3052 | Float_t t0E = fCurrentCoefE2; | |
3053 | ||
3054 | ||
3055 | ||
3056 | (* fDebugStreamer) << "FillFillPH"<< | |
3057 | "detector="<<detector<< | |
3058 | "nentries="<<nentries<< | |
3059 | "caligroup="<<caligroup<< | |
3060 | "rowmin="<<rowmin<< | |
3061 | "rowmax="<<rowmax<< | |
3062 | "colmin="<<colmin<< | |
3063 | "colmax="<<colmax<< | |
3064 | "vf="<<vf<< | |
3065 | "vs="<<vs<< | |
3066 | "vfE="<<vfE<< | |
3067 | "t0f="<<t0f<< | |
3068 | "t0s="<<t0s<< | |
3069 | "t0E="<<t0E<< | |
3070 | "\n"; | |
3071 | } | |
3072 | // Reset | |
3073 | for (Int_t k = 0; k < 2304; k++) { | |
3074 | fCurrentCoefDetector[k] = 0.0; | |
3075 | fCurrentCoefDetector2[k] = 0.0; | |
3076 | } | |
3077 | ||
3078 | }// loop detector | |
3079 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
3080 | } | |
3a0f6479 | 3081 | else { |
55a288e5 | 3082 | |
3a0f6479 | 3083 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
3084 | ,idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1))),fCountDet)); | |
55a288e5 | 3085 | |
3a0f6479 | 3086 | CalculVdriftCoefMean(); |
3087 | CalculT0CoefMean(); | |
55a288e5 | 3088 | |
053767a4 | 3089 | //stack 2 and not stack 2 |
3a0f6479 | 3090 | Int_t factor = 0; |
053767a4 | 3091 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 3092 | else factor = 16; |
55a288e5 | 3093 | |
55a288e5 | 3094 | |
3a0f6479 | 3095 | // Fill the fCurrentCoefDetector 2 |
3096 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3097 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3098 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
64942b85 | 3099 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 3100 | } |
3101 | } | |
55a288e5 | 3102 | |
3a0f6479 | 3103 | // Put the default value |
3104 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3105 | fCurrentCoefE = 0.0; | |
64942b85 | 3106 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
3a0f6479 | 3107 | fCurrentCoefE2 = 0.0; |
3108 | ||
64942b85 | 3109 | FillFillPH(idect,nentries); |
3a0f6479 | 3110 | |
3111 | } | |
55a288e5 | 3112 | |
3a0f6479 | 3113 | return kTRUE; |
64942b85 | 3114 | |
3a0f6479 | 3115 | } |
3116 | ||
3117 | ||
3118 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3119 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPRF(Int_t idect) | |
3120 | { | |
3121 | // | |
3122 | // For the case where there are not enough entries in the histograms | |
3123 | // of the calibration group, the value present in the choosen database | |
3124 | // will be put. A negativ sign enables to know that a fit was not possible. | |
3125 | // | |
55a288e5 | 3126 | |
3a0f6479 | 3127 | if (fDebugLevel == 1) { |
3128 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 3129 | } |
64942b85 | 3130 | else if (fNbDet > 0){ |
3131 | ||
3132 | Int_t firstdetector = fCountDet; | |
3133 | Int_t lastdetector = fCountDet+fNbDet; | |
3134 | AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted" | |
3135 | ,idect,firstdetector,lastdetector)); | |
3136 | ||
3137 | // loop over detectors | |
3138 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3139 | ||
3140 | //Set the calibration object again | |
3141 | fCountDet = det; | |
3142 | SetCalROC(2); | |
3143 | ||
3144 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3145 | // Put them at 1 | |
3146 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),2); | |
3147 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3148 | ,(Int_t) GetStack(fCountDet) | |
3149 | ,(Int_t) GetSector(fCountDet),2); | |
3150 | // Reconstruct row min row max | |
3151 | ReconstructFitRowMinRowMax(idect,2); | |
3152 | ||
3153 | // Calcul the coef from the database choosen for the detector | |
3154 | CalculPRFCoefMean(); | |
3155 | ||
3156 | //stack 2, not stack 2 | |
3157 | Int_t factor = 0; | |
3158 | if(GetStack(fCountDet) == 2) factor = 12; | |
3159 | else factor = 16; | |
3160 | ||
3161 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3162 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3163 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3164 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
3165 | } | |
3166 | } | |
3167 | ||
3168 | //Put default value negative | |
3169 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3170 | fCurrentCoefE = 0.0; | |
3171 | ||
3172 | // Fill the stuff | |
3173 | FillVectorFit(); | |
3174 | // Debug | |
3175 | if(fDebugLevel > 1){ | |
3176 | ||
3177 | if ( !fDebugStreamer ) { | |
3178 | //debug stream | |
3179 | TDirectory *backup = gDirectory; | |
3180 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); | |
3181 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3182 | } | |
3183 | ||
3184 | Int_t detector = fCountDet; | |
3185 | Int_t layer = GetLayer(fCountDet); | |
3186 | Int_t caligroup = idect; | |
3187 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
3188 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
3189 | Short_t colmin = fCalibraMode->GetColMin(2); | |
3190 | Short_t colmax = fCalibraMode->GetColMax(2); | |
3191 | Float_t widf = fCurrentCoef[0]; | |
3192 | Float_t wids = fCurrentCoef[1]; | |
3193 | Float_t widfE = fCurrentCoefE; | |
3194 | ||
3195 | (* fDebugStreamer) << "FillFillPRF"<< | |
3196 | "detector="<<detector<< | |
3197 | "layer="<<layer<< | |
3198 | "caligroup="<<caligroup<< | |
3199 | "rowmin="<<rowmin<< | |
3200 | "rowmax="<<rowmax<< | |
3201 | "colmin="<<colmin<< | |
3202 | "colmax="<<colmax<< | |
3203 | "widf="<<widf<< | |
3204 | "wids="<<wids<< | |
3205 | "widfE="<<widfE<< | |
3206 | "\n"; | |
3207 | } | |
3208 | // Reset | |
3209 | for (Int_t k = 0; k < 2304; k++) { | |
3210 | fCurrentCoefDetector[k] = 0.0; | |
3211 | } | |
3212 | ||
3213 | }// loop detector | |
3214 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
3215 | } | |
3a0f6479 | 3216 | else { |
3217 | ||
3218 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" | |
3219 | ,idect-(fCount-(fCalibraMode->GetNfragZ(2)*fCalibraMode->GetNfragRphi(2))),fCountDet)); | |
3220 | ||
3221 | CalculPRFCoefMean(); | |
3222 | ||
053767a4 | 3223 | // stack 2 and not stack 2 |
3a0f6479 | 3224 | Int_t factor = 0; |
053767a4 | 3225 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 3226 | else factor = 16; |
55a288e5 | 3227 | |
55a288e5 | 3228 | |
3a0f6479 | 3229 | // Fill the fCurrentCoefDetector |
3230 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3231 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
64942b85 | 3232 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); |
55a288e5 | 3233 | } |
3234 | } | |
55a288e5 | 3235 | |
3a0f6479 | 3236 | // Put the default value |
64942b85 | 3237 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3a0f6479 | 3238 | fCurrentCoefE = 0.0; |
3239 | ||
3240 | FillFillPRF(idect); | |
3241 | } | |
3242 | ||
3243 | return kTRUE; | |
55a288e5 | 3244 | |
3a0f6479 | 3245 | } |
3246 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3247 | Bool_t AliTRDCalibraFit::NotEnoughStatisticLinearFitter() | |
55a288e5 | 3248 | { |
3249 | // | |
3a0f6479 | 3250 | // For the case where there are not enough entries in the histograms |
3251 | // of the calibration group, the value present in the choosen database | |
3252 | // will be put. A negativ sign enables to know that a fit was not possible. | |
3253 | // | |
3254 | ||
3255 | // Calcul the coef from the database choosen | |
3256 | CalculVdriftLorentzCoef(); | |
3257 | ||
3258 | Int_t factor = 0; | |
053767a4 | 3259 | if(GetStack(fCountDet) == 2) factor = 1728; |
3a0f6479 | 3260 | else factor = 2304; |
3261 | ||
3262 | ||
3263 | // Fill the fCurrentCoefDetector | |
3264 | for (Int_t k = 0; k < factor; k++) { | |
3265 | fCurrentCoefDetector[k] = -TMath::Abs(fCurrentCoef[1]); | |
3266 | // should be negative | |
3267 | fCurrentCoefDetector2[k] = +TMath::Abs(fCurrentCoef2[1]); | |
55a288e5 | 3268 | } |
3a0f6479 | 3269 | |
3270 | ||
3271 | //Put default opposite sign | |
3272 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3273 | fCurrentCoefE = 0.0; | |
3274 | fCurrentCoef2[0] = +TMath::Abs(fCurrentCoef2[1]); | |
3275 | fCurrentCoefE2 = 0.0; | |
3276 | ||
3277 | FillFillLinearFitter(); | |
3278 | ||
3279 | return kTRUE; | |
55a288e5 | 3280 | } |
3281 | ||
3a0f6479 | 3282 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3283 | Bool_t AliTRDCalibraFit::FillInfosFitCH(Int_t idect) | |
55a288e5 | 3284 | { |
3285 | // | |
3a0f6479 | 3286 | // Fill the coefficients found with the fits or other |
3287 | // methods from the Fit functions | |
3288 | // | |
3289 | ||
3290 | if (fDebugLevel != 1) { | |
64942b85 | 3291 | if (fNbDet > 0){ |
3292 | Int_t firstdetector = fCountDet; | |
3293 | Int_t lastdetector = fCountDet+fNbDet; | |
3294 | AliInfo(Form("The element %d containing the detectors %d to %d has been fitted" | |
3295 | ,idect,firstdetector,lastdetector)); | |
3296 | // loop over detectors | |
3297 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3298 | ||
3299 | //Set the calibration object again | |
3300 | fCountDet = det; | |
3301 | SetCalROC(0); | |
3302 | ||
3303 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3304 | // Put them at 1 | |
3305 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),0); | |
3306 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3307 | ,(Int_t) GetStack(fCountDet) | |
3308 | ,(Int_t) GetSector(fCountDet),0); | |
3309 | // Reconstruct row min row max | |
3310 | ReconstructFitRowMinRowMax(idect,0); | |
3311 | ||
3312 | // Calcul the coef from the database choosen for the detector | |
3313 | if(fCurrentCoef[0] < 0.0) CalculChargeCoefMean(kFALSE); | |
3314 | else CalculChargeCoefMean(kTRUE); | |
3315 | ||
3316 | //stack 2, not stack 2 | |
3317 | Int_t factor = 0; | |
3318 | if(GetStack(fCountDet) == 2) factor = 12; | |
3319 | else factor = 16; | |
3320 | ||
3321 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3322 | Double_t coeftoput = 1.0; | |
3323 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3324 | else coeftoput = fCurrentCoef[0]; | |
3325 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3326 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3327 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3328 | } | |
3329 | } | |
3330 | ||
3331 | // Fill the stuff | |
3332 | FillVectorFit(); | |
3333 | // Debug | |
3334 | if(fDebugLevel > 1){ | |
3335 | ||
3336 | if ( !fDebugStreamer ) { | |
3337 | //debug stream | |
3338 | TDirectory *backup = gDirectory; | |
3339 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); | |
3340 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3341 | } | |
3342 | ||
3343 | Int_t detector = fCountDet; | |
3344 | Int_t caligroup = idect; | |
3345 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
3346 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
3347 | Short_t colmin = fCalibraMode->GetColMin(0); | |
3348 | Short_t colmax = fCalibraMode->GetColMax(0); | |
3349 | Float_t gf = fCurrentCoef[0]; | |
3350 | Float_t gfs = fCurrentCoef[1]; | |
3351 | Float_t gfE = fCurrentCoefE; | |
3352 | ||
3353 | (*fDebugStreamer) << "FillFillCH" << | |
3354 | "detector=" << detector << | |
3355 | "caligroup=" << caligroup << | |
3356 | "rowmin=" << rowmin << | |
3357 | "rowmax=" << rowmax << | |
3358 | "colmin=" << colmin << | |
3359 | "colmax=" << colmax << | |
3360 | "gf=" << gf << | |
3361 | "gfs=" << gfs << | |
3362 | "gfE=" << gfE << | |
3363 | "\n"; | |
3364 | ||
3365 | } | |
3366 | // Reset | |
3367 | for (Int_t k = 0; k < 2304; k++) { | |
3368 | fCurrentCoefDetector[k] = 0.0; | |
3369 | } | |
3370 | ||
3371 | }// loop detector | |
3372 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3373 | } | |
3374 | else{ | |
3375 | ||
3376 | Int_t factor = 0; | |
3377 | if(GetStack(fCountDet) == 2) factor = 12; | |
3378 | else factor = 16; | |
3379 | ||
3380 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3381 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3382 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3383 | } | |
3a0f6479 | 3384 | } |
64942b85 | 3385 | |
3386 | FillFillCH(idect); | |
55a288e5 | 3387 | } |
3388 | } | |
55a288e5 | 3389 | |
3a0f6479 | 3390 | return kTRUE; |
3391 | ||
3392 | } | |
3393 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
64942b85 | 3394 | Bool_t AliTRDCalibraFit::FillInfosFitPH(Int_t idect,Double_t nentries) |
55a288e5 | 3395 | { |
3396 | // | |
3a0f6479 | 3397 | // Fill the coefficients found with the fits or other |
3398 | // methods from the Fit functions | |
3399 | // | |
3400 | ||
3401 | if (fDebugLevel != 1) { | |
64942b85 | 3402 | if (fNbDet > 0){ |
3403 | ||
3404 | Int_t firstdetector = fCountDet; | |
3405 | Int_t lastdetector = fCountDet+fNbDet; | |
3406 | AliInfo(Form("The element %d containing the detectors %d to %d has been fitted" | |
3407 | ,idect,firstdetector,lastdetector)); | |
3408 | ||
3409 | // loop over detectors | |
3410 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3411 | ||
3412 | //Set the calibration object again | |
3413 | fCountDet = det; | |
3414 | SetCalROC(1); | |
3415 | ||
3416 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3417 | // Put them at 1 | |
3418 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),1); | |
3419 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3420 | ,(Int_t) GetStack(fCountDet) | |
3421 | ,(Int_t) GetSector(fCountDet),1); | |
3422 | // Reconstruct row min row max | |
3423 | ReconstructFitRowMinRowMax(idect,1); | |
3424 | ||
3425 | // Calcul the coef from the database choosen for the detector | |
3426 | CalculVdriftCoefMean(); | |
3427 | CalculT0CoefMean(); | |
3428 | ||
3429 | //stack 2, not stack 2 | |
3430 | Int_t factor = 0; | |
3431 | if(GetStack(fCountDet) == 2) factor = 12; | |
3432 | else factor = 16; | |
3433 | ||
3434 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3435 | Double_t coeftoput = 1.5; | |
3436 | Double_t coeftoput2 = 0.0; | |
3437 | ||
3438 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3439 | else coeftoput = fCurrentCoef[0]; | |
3440 | ||
3441 | if(fCurrentCoef2[0] > 70.0) coeftoput2 = fCurrentCoef2[1] + 100.0; | |
3442 | else coeftoput2 = fCurrentCoef2[0]; | |
3443 | ||
3444 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3445 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3446 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3447 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = coeftoput2; | |
3448 | } | |
3449 | } | |
3450 | ||
3451 | // Fill the stuff | |
3452 | FillVectorFit(); | |
3453 | FillVectorFit2(); | |
3454 | // Debug | |
3455 | if(fDebugLevel > 1){ | |
3456 | ||
3457 | if ( !fDebugStreamer ) { | |
3458 | //debug stream | |
3459 | TDirectory *backup = gDirectory; | |
3460 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); | |
3461 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3462 | } | |
3463 | ||
3464 | ||
3465 | Int_t detector = fCountDet; | |
3466 | Int_t caligroup = idect; | |
3467 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
3468 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
3469 | Short_t colmin = fCalibraMode->GetColMin(1); | |
3470 | Short_t colmax = fCalibraMode->GetColMax(1); | |
3471 | Float_t vf = fCurrentCoef[0]; | |
3472 | Float_t vs = fCurrentCoef[1]; | |
3473 | Float_t vfE = fCurrentCoefE; | |
3474 | Float_t t0f = fCurrentCoef2[0]; | |
3475 | Float_t t0s = fCurrentCoef2[1]; | |
3476 | Float_t t0E = fCurrentCoefE2; | |
3477 | ||
3478 | ||
3479 | ||
3480 | (* fDebugStreamer) << "FillFillPH"<< | |
3481 | "detector="<<detector<< | |
3482 | "nentries="<<nentries<< | |
3483 | "caligroup="<<caligroup<< | |
3484 | "rowmin="<<rowmin<< | |
3485 | "rowmax="<<rowmax<< | |
3486 | "colmin="<<colmin<< | |
3487 | "colmax="<<colmax<< | |
3488 | "vf="<<vf<< | |
3489 | "vs="<<vs<< | |
3490 | "vfE="<<vfE<< | |
3491 | "t0f="<<t0f<< | |
3492 | "t0s="<<t0s<< | |
3493 | "t0E="<<t0E<< | |
3494 | "\n"; | |
3495 | } | |
3496 | // Reset | |
3497 | for (Int_t k = 0; k < 2304; k++) { | |
3498 | fCurrentCoefDetector[k] = 0.0; | |
3499 | fCurrentCoefDetector2[k] = 0.0; | |
3500 | } | |
3501 | ||
3502 | }// loop detector | |
3503 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3504 | } | |
3505 | else { | |
3506 | ||
3507 | Int_t factor = 0; | |
3508 | if(GetStack(fCountDet) == 2) factor = 12; | |
3509 | else factor = 16; | |
3510 | ||
3511 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3512 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3513 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3514 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[0]; | |
3515 | } | |
3516 | } | |
3517 | ||
3518 | FillFillPH(idect,nentries); | |
3519 | } | |
55a288e5 | 3520 | } |
3a0f6479 | 3521 | return kTRUE; |
55a288e5 | 3522 | } |
3a0f6479 | 3523 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3524 | Bool_t AliTRDCalibraFit::FillInfosFitPRF(Int_t idect) | |
55a288e5 | 3525 | { |
3526 | // | |
3a0f6479 | 3527 | // Fill the coefficients found with the fits or other |
3528 | // methods from the Fit functions | |
55a288e5 | 3529 | // |
3a0f6479 | 3530 | |
3531 | if (fDebugLevel != 1) { | |
64942b85 | 3532 | if (fNbDet > 0){ |
3a0f6479 | 3533 | |
64942b85 | 3534 | Int_t firstdetector = fCountDet; |
3535 | Int_t lastdetector = fCountDet+fNbDet; | |
3536 | AliInfo(Form("The element %d containing the detectors %d to %d has been fitted" | |
3537 | ,idect,firstdetector,lastdetector)); | |
3538 | ||
3539 | // loop over detectors | |
3540 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3541 | ||
3542 | //Set the calibration object again | |
3543 | fCountDet = det; | |
3544 | SetCalROC(2); | |
3545 | ||
3546 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3547 | // Put them at 1 | |
3548 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),2); | |
3549 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3550 | ,(Int_t) GetStack(fCountDet) | |
3551 | ,(Int_t) GetSector(fCountDet),2); | |
3552 | // Reconstruct row min row max | |
3553 | ReconstructFitRowMinRowMax(idect,2); | |
3554 | ||
3555 | // Calcul the coef from the database choosen for the detector | |
3556 | CalculPRFCoefMean(); | |
3557 | ||
3558 | //stack 2, not stack 2 | |
3559 | Int_t factor = 0; | |
3560 | if(GetStack(fCountDet) == 2) factor = 12; | |
3561 | else factor = 16; | |
3562 | ||
3563 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3564 | Double_t coeftoput = 1.0; | |
3565 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3566 | else coeftoput = fCurrentCoef[0]; | |
3567 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3568 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3569 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3570 | } | |
3571 | } | |
3572 | ||
3573 | // Fill the stuff | |
3574 | FillVectorFit(); | |
3575 | // Debug | |
3576 | if(fDebugLevel > 1){ | |
3577 | ||
3578 | if ( !fDebugStreamer ) { | |
3579 | //debug stream | |
3580 | TDirectory *backup = gDirectory; | |
3581 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); | |
3582 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3583 | } | |
3584 | ||
3585 | Int_t detector = fCountDet; | |
3586 | Int_t layer = GetLayer(fCountDet); | |
3587 | Int_t caligroup = idect; | |
3588 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
3589 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
3590 | Short_t colmin = fCalibraMode->GetColMin(2); | |
3591 | Short_t colmax = fCalibraMode->GetColMax(2); | |
3592 | Float_t widf = fCurrentCoef[0]; | |
3593 | Float_t wids = fCurrentCoef[1]; | |
3594 | Float_t widfE = fCurrentCoefE; | |
3595 | ||
3596 | (* fDebugStreamer) << "FillFillPRF"<< | |
3597 | "detector="<<detector<< | |
3598 | "layer="<<layer<< | |
3599 | "caligroup="<<caligroup<< | |
3600 | "rowmin="<<rowmin<< | |
3601 | "rowmax="<<rowmax<< | |
3602 | "colmin="<<colmin<< | |
3603 | "colmax="<<colmax<< | |
3604 | "widf="<<widf<< | |
3605 | "wids="<<wids<< | |
3606 | "widfE="<<widfE<< | |
3607 | "\n"; | |
3608 | } | |
3609 | // Reset | |
3610 | for (Int_t k = 0; k < 2304; k++) { | |
3611 | fCurrentCoefDetector[k] = 0.0; | |
3612 | } | |
3613 | ||
3614 | }// loop detector | |
3615 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3616 | } | |
3617 | else { | |
3618 | ||
3619 | Int_t factor = 0; | |
3620 | if(GetStack(fCountDet) == 2) factor = 12; | |
3621 | else factor = 16; | |
3622 | ||
3623 | // Pointer to the branch | |
3624 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3625 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3626 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3627 | } | |
3a0f6479 | 3628 | } |
64942b85 | 3629 | FillFillPRF(idect); |
55a288e5 | 3630 | } |
3631 | } | |
64942b85 | 3632 | |
3a0f6479 | 3633 | return kTRUE; |
55a288e5 | 3634 | |
3a0f6479 | 3635 | } |
3636 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3637 | Bool_t AliTRDCalibraFit::FillInfosFitLinearFitter() | |
55a288e5 | 3638 | { |
3639 | // | |
3a0f6479 | 3640 | // Fill the coefficients found with the fits or other |
3641 | // methods from the Fit functions | |
55a288e5 | 3642 | // |
3a0f6479 | 3643 | |
3644 | Int_t factor = 0; | |
053767a4 | 3645 | if(GetStack(fCountDet) == 2) factor = 1728; |
3a0f6479 | 3646 | else factor = 2304; |
3647 | ||
3648 | // Pointer to the branch | |
3649 | for (Int_t k = 0; k < factor; k++) { | |
3650 | fCurrentCoefDetector[k] = fCurrentCoef[0]; | |
3651 | fCurrentCoefDetector2[k] = fCurrentCoef2[0]; | |
55a288e5 | 3652 | } |
3a0f6479 | 3653 | |
3654 | FillFillLinearFitter(); | |
3655 | ||
3656 | return kTRUE; | |
55a288e5 | 3657 | |
3658 | } | |
3a0f6479 | 3659 | //________________________________________________________________________________ |
3660 | void AliTRDCalibraFit::FillFillCH(Int_t idect) | |
55a288e5 | 3661 | { |
3662 | // | |
3a0f6479 | 3663 | // DebugStream and fVectorFit |
55a288e5 | 3664 | // |
3665 | ||
3a0f6479 | 3666 | // End of one detector |
3667 | if ((idect == (fCount-1))) { | |
3668 | FillVectorFit(); | |
3669 | // Reset | |
3670 | for (Int_t k = 0; k < 2304; k++) { | |
3671 | fCurrentCoefDetector[k] = 0.0; | |
3672 | } | |
55a288e5 | 3673 | } |
3674 | ||
3a0f6479 | 3675 | if(fDebugLevel > 1){ |
55a288e5 | 3676 | |
3a0f6479 | 3677 | if ( !fDebugStreamer ) { |
3678 | //debug stream | |
3679 | TDirectory *backup = gDirectory; | |
4aad967c | 3680 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); |
3a0f6479 | 3681 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3682 | } | |
3683 | ||
3684 | Int_t detector = fCountDet; | |
3685 | Int_t caligroup = idect; | |
3686 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
3687 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
3688 | Short_t colmin = fCalibraMode->GetColMin(0); | |
3689 | Short_t colmax = fCalibraMode->GetColMax(0); | |
3690 | Float_t gf = fCurrentCoef[0]; | |
3691 | Float_t gfs = fCurrentCoef[1]; | |
3692 | Float_t gfE = fCurrentCoefE; | |
3693 | ||
413153cb | 3694 | (*fDebugStreamer) << "FillFillCH" << |
3a0f6479 | 3695 | "detector=" << detector << |
3696 | "caligroup=" << caligroup << | |
3697 | "rowmin=" << rowmin << | |
3698 | "rowmax=" << rowmax << | |
3699 | "colmin=" << colmin << | |
3700 | "colmax=" << colmax << | |
3701 | "gf=" << gf << | |
3702 | "gfs=" << gfs << | |
3703 | "gfE=" << gfE << | |
3704 | "\n"; | |
3705 | ||
3706 | } | |
3707 | } | |
3708 | //________________________________________________________________________________ | |
64942b85 | 3709 | void AliTRDCalibraFit::FillFillPH(Int_t idect,Double_t nentries) |
55a288e5 | 3710 | { |
3711 | // | |
3a0f6479 | 3712 | // DebugStream and fVectorFit and fVectorFit2 |
55a288e5 | 3713 | // |
3a0f6479 | 3714 | |
3715 | // End of one detector | |
3716 | if ((idect == (fCount-1))) { | |
3717 | FillVectorFit(); | |
3718 | FillVectorFit2(); | |
3719 | // Reset | |
3720 | for (Int_t k = 0; k < 2304; k++) { | |
3721 | fCurrentCoefDetector[k] = 0.0; | |
3722 | fCurrentCoefDetector2[k] = 0.0; | |
3723 | } | |
3724 | } | |
3725 | ||
3726 | if(fDebugLevel > 1){ | |
3727 | ||
3728 | if ( !fDebugStreamer ) { | |
3729 | //debug stream | |
3730 | TDirectory *backup = gDirectory; | |
4aad967c | 3731 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); |
3a0f6479 | 3732 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3733 | } | |
3734 | ||
3735 | ||
3736 | Int_t detector = fCountDet; | |
3737 | Int_t caligroup = idect; | |
3738 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
3739 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
3740 | Short_t colmin = fCalibraMode->GetColMin(1); | |
3741 | Short_t colmax = fCalibraMode->GetColMax(1); | |
3742 | Float_t vf = fCurrentCoef[0]; | |
3743 | Float_t vs = fCurrentCoef[1]; | |
3744 | Float_t vfE = fCurrentCoefE; | |
3745 | Float_t t0f = fCurrentCoef2[0]; | |
3746 | Float_t t0s = fCurrentCoef2[1]; | |
3747 | Float_t t0E = fCurrentCoefE2; | |
3748 | ||
55a288e5 | 3749 | |
3a0f6479 | 3750 | |
413153cb | 3751 | (* fDebugStreamer) << "FillFillPH"<< |
3a0f6479 | 3752 | "detector="<<detector<< |
64942b85 | 3753 | "nentries="<<nentries<< |
3a0f6479 | 3754 | "caligroup="<<caligroup<< |
3755 | "rowmin="<<rowmin<< | |
3756 | "rowmax="<<rowmax<< | |
3757 | "colmin="<<colmin<< | |
3758 | "colmax="<<colmax<< | |
3759 | "vf="<<vf<< | |
3760 | "vs="<<vs<< | |
3761 | "vfE="<<vfE<< | |
3762 | "t0f="<<t0f<< | |
3763 | "t0s="<<t0s<< | |
3764 | "t0E="<<t0E<< | |
3765 | "\n"; | |
3766 | } | |
55a288e5 | 3767 | |
3768 | } | |
3a0f6479 | 3769 | //________________________________________________________________________________ |
3770 | void AliTRDCalibraFit::FillFillPRF(Int_t idect) | |
3771 | { | |
3772 | // | |
3773 | // DebugStream and fVectorFit | |
3774 | // | |
55a288e5 | 3775 | |
3a0f6479 | 3776 | // End of one detector |
3777 | if ((idect == (fCount-1))) { | |
3778 | FillVectorFit(); | |
3779 | // Reset | |
3780 | for (Int_t k = 0; k < 2304; k++) { | |
3781 | fCurrentCoefDetector[k] = 0.0; | |
3782 | } | |
3783 | } | |
3784 | ||
3785 | ||
3786 | if(fDebugLevel > 1){ | |
3787 | ||
3788 | if ( !fDebugStreamer ) { | |
3789 | //debug stream | |
3790 | TDirectory *backup = gDirectory; | |
4aad967c | 3791 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 3792 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3793 | } | |
3794 | ||
3795 | Int_t detector = fCountDet; | |
053767a4 | 3796 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 3797 | Int_t caligroup = idect; |
3798 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
3799 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
3800 | Short_t colmin = fCalibraMode->GetColMin(2); | |
3801 | Short_t colmax = fCalibraMode->GetColMax(2); | |
3802 | Float_t widf = fCurrentCoef[0]; | |
3803 | Float_t wids = fCurrentCoef[1]; | |
3804 | Float_t widfE = fCurrentCoefE; | |
3805 | ||
413153cb | 3806 | (* fDebugStreamer) << "FillFillPRF"<< |
3a0f6479 | 3807 | "detector="<<detector<< |
053767a4 | 3808 | "layer="<<layer<< |
3a0f6479 | 3809 | "caligroup="<<caligroup<< |
3810 | "rowmin="<<rowmin<< | |
3811 | "rowmax="<<rowmax<< | |
3812 | "colmin="<<colmin<< | |
3813 | "colmax="<<colmax<< | |
3814 | "widf="<<widf<< | |
3815 | "wids="<<wids<< | |
3816 | "widfE="<<widfE<< | |
3817 | "\n"; | |
3818 | } | |
3819 | ||
3820 | } | |
3821 | //________________________________________________________________________________ | |
3822 | void AliTRDCalibraFit::FillFillLinearFitter() | |
55a288e5 | 3823 | { |
3824 | // | |
3a0f6479 | 3825 | // DebugStream and fVectorFit |
55a288e5 | 3826 | // |
3a0f6479 | 3827 | |
3828 | // End of one detector | |
3829 | FillVectorFit(); | |
3830 | FillVectorFit2(); | |
3831 | ||
3832 | ||
3833 | // Reset | |
3834 | for (Int_t k = 0; k < 2304; k++) { | |
3835 | fCurrentCoefDetector[k] = 0.0; | |
3836 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 3837 | } |
3a0f6479 | 3838 | |
55a288e5 | 3839 | |
3a0f6479 | 3840 | if(fDebugLevel > 1){ |
55a288e5 | 3841 | |
3a0f6479 | 3842 | if ( !fDebugStreamer ) { |
3843 | //debug stream | |
3844 | TDirectory *backup = gDirectory; | |
4aad967c | 3845 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitLinearFitter.root"); |
3a0f6479 | 3846 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3847 | } | |
3848 | ||
3849 | //Debug: comparaison of the different methods (okey for first time but not for iterative procedure) | |
053767a4 | 3850 | AliTRDpadPlane *padplane = fGeo->GetPadPlane(GetLayer(fCountDet),GetStack(fCountDet)); |
3a0f6479 | 3851 | Float_t rowmd = (padplane->GetRow0()+padplane->GetRowEnd())/2.; |
053767a4 | 3852 | Float_t r = AliTRDgeometry::GetTime0(GetLayer(fCountDet)); |
3a0f6479 | 3853 | Float_t tiltangle = padplane->GetTiltingAngle(); |
3854 | Int_t detector = fCountDet; | |
053767a4 | 3855 | Int_t stack = GetStack(fCountDet); |
3856 | Int_t layer = GetLayer(fCountDet); | |
3a0f6479 | 3857 | Float_t vf = fCurrentCoef[0]; |
3858 | Float_t vs = fCurrentCoef[1]; | |
3859 | Float_t vfE = fCurrentCoefE; | |
3860 | Float_t lorentzangler = fCurrentCoef2[0]; | |
e6381f8e | 3861 | Float_t elorentzangler = fCurrentCoefE2; |
3a0f6479 | 3862 | Float_t lorentzangles = fCurrentCoef2[1]; |
3863 | ||
413153cb | 3864 | (* fDebugStreamer) << "FillFillLinearFitter"<< |
3a0f6479 | 3865 | "detector="<<detector<< |
053767a4 | 3866 | "stack="<<stack<< |
3867 | "layer="<<layer<< | |
3a0f6479 | 3868 | "rowmd="<<rowmd<< |
3869 | "r="<<r<< | |
3870 | "tiltangle="<<tiltangle<< | |
3871 | "vf="<<vf<< | |
3872 | "vs="<<vs<< | |
3873 | "vfE="<<vfE<< | |
3874 | "lorentzangler="<<lorentzangler<< | |
e6381f8e | 3875 | "Elorentzangler="<<elorentzangler<< |
3a0f6479 | 3876 | "lorentzangles="<<lorentzangles<< |
3877 | "\n"; | |
3878 | } | |
3879 | ||
3880 | } | |
55a288e5 | 3881 | // |
3882 | //____________Calcul Coef Mean_________________________________________________ | |
3883 | // | |
55a288e5 | 3884 | //_____________________________________________________________________________ |
3a0f6479 | 3885 | Bool_t AliTRDCalibraFit::CalculT0CoefMean() |
55a288e5 | 3886 | { |
3887 | // | |
3888 | // For the detector Dect calcul the mean time 0 | |
3889 | // for the calibration group idect from the choosen database | |
3890 | // | |
3891 | ||
3a0f6479 | 3892 | fCurrentCoef2[1] = 0.0; |
3893 | if(fDebugLevel != 1){ | |
64942b85 | 3894 | if(((fCalibraMode->GetNz(1) > 0) || |
3895 | (fCalibraMode->GetNrphi(1) > 0)) && ((fCalibraMode->GetNz(1) != 10) && (fCalibraMode->GetNz(1) != 100))) { | |
3896 | ||
3a0f6479 | 3897 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { |
3898 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
3899 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); | |
55a288e5 | 3900 | } |
3a0f6479 | 3901 | } |
64942b85 | 3902 | |
3a0f6479 | 3903 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); |
64942b85 | 3904 | |
3a0f6479 | 3905 | } |
3906 | else { | |
64942b85 | 3907 | |
3a0f6479 | 3908 | if(!fAccCDB){ |
3909 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
3910 | } | |
3911 | else{ | |
64942b85 | 3912 | |
053767a4 | 3913 | for(Int_t row = 0; row < fGeo->GetRowMax(GetLayer(fCountDet),GetStack(fCountDet),GetSector(fCountDet)); row++){ |
3914 | for(Int_t col = 0; col < fGeo->GetColMax(GetLayer(fCountDet)); col++){ | |
3a0f6479 | 3915 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); |
3916 | } | |
55a288e5 | 3917 | } |
053767a4 | 3918 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fGeo->GetRowMax(GetLayer(fCountDet),GetStack(fCountDet),GetSector(fCountDet)))*(fGeo->GetColMax(GetLayer(fCountDet)))); |
64942b85 | 3919 | |
55a288e5 | 3920 | } |
3921 | } | |
55a288e5 | 3922 | } |
55a288e5 | 3923 | return kTRUE; |
55a288e5 | 3924 | } |
3925 | ||
3926 | //_____________________________________________________________________________ | |
3a0f6479 | 3927 | Bool_t AliTRDCalibraFit::CalculChargeCoefMean(Bool_t vrai) |
55a288e5 | 3928 | { |
3929 | // | |
3930 | // For the detector Dect calcul the mean gain factor | |
3931 | // for the calibration group idect from the choosen database | |
3932 | // | |
3933 | ||
3a0f6479 | 3934 | fCurrentCoef[1] = 0.0; |
3935 | if(fDebugLevel != 1){ | |
64942b85 | 3936 | if (((fCalibraMode->GetNz(0) > 0) || |
3937 | (fCalibraMode->GetNrphi(0) > 0)) && ((fCalibraMode->GetNz(0) != 10) && (fCalibraMode->GetNz(0) != 100))) { | |
3a0f6479 | 3938 | for (Int_t row = fCalibraMode->GetRowMin(0); row < fCalibraMode->GetRowMax(0); row++) { |
3939 | for (Int_t col = fCalibraMode->GetColMin(0); col < fCalibraMode->GetColMax(0); col++) { | |
3940 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
3941 | if (vrai) fScaleFitFactor += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 3942 | } |
3943 | } | |
3a0f6479 | 3944 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0))); |
55a288e5 | 3945 | } |
3a0f6479 | 3946 | else { |
3947 | //Per detectors | |
3948 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
3949 | if (vrai) fScaleFitFactor += ((Float_t) fCalDet->GetValue(fCountDet))*(fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0)); | |
3950 | } | |
55a288e5 | 3951 | } |
55a288e5 | 3952 | return kTRUE; |
55a288e5 | 3953 | } |
55a288e5 | 3954 | //_____________________________________________________________________________ |
3a0f6479 | 3955 | Bool_t AliTRDCalibraFit::CalculPRFCoefMean() |
55a288e5 | 3956 | { |
3957 | // | |
3958 | // For the detector Dect calcul the mean sigma of pad response | |
3959 | // function for the calibration group idect from the choosen database | |
3960 | // | |
3a0f6479 | 3961 | |
3962 | fCurrentCoef[1] = 0.0; | |
3963 | if(fDebugLevel != 1){ | |
55a288e5 | 3964 | for (Int_t row = fCalibraMode->GetRowMin(2); row < fCalibraMode->GetRowMax(2); row++) { |
3965 | for (Int_t col = fCalibraMode->GetColMin(2); col < fCalibraMode->GetColMax(2); col++) { | |
3a0f6479 | 3966 | fCurrentCoef[1] += (Float_t) fCalROC->GetValue(col,row); |
55a288e5 | 3967 | } |
3968 | } | |
3a0f6479 | 3969 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(2)-fCalibraMode->GetColMin(2))*(fCalibraMode->GetRowMax(2)-fCalibraMode->GetRowMin(2))); |
55a288e5 | 3970 | } |
55a288e5 | 3971 | return kTRUE; |
55a288e5 | 3972 | } |
55a288e5 | 3973 | //_____________________________________________________________________________ |
3a0f6479 | 3974 | Bool_t AliTRDCalibraFit::CalculVdriftCoefMean() |
55a288e5 | 3975 | { |
3976 | // | |
3977 | // For the detector dect calcul the mean drift velocity for the | |
3978 | // calibration group idect from the choosen database | |
3979 | // | |
3980 | ||
3a0f6479 | 3981 | fCurrentCoef[1] = 0.0; |
3982 | if(fDebugLevel != 1){ | |
64942b85 | 3983 | if (((fCalibraMode->GetNz(1) > 0) || |
3984 | (fCalibraMode->GetNrphi(1) > 0)) && ((fCalibraMode->GetNz(1) != 10) && (fCalibraMode->GetNz(1) != 100))) { | |
3985 | ||
3a0f6479 | 3986 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { |
3987 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
3988 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 3989 | } |
3990 | } | |
64942b85 | 3991 | |
3a0f6479 | 3992 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); |
64942b85 | 3993 | |
55a288e5 | 3994 | } |
3a0f6479 | 3995 | else { |
3996 | //per detectors | |
3997 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
3998 | } | |
55a288e5 | 3999 | } |
55a288e5 | 4000 | return kTRUE; |
55a288e5 | 4001 | } |
3a0f6479 | 4002 | //_____________________________________________________________________________ |
4003 | Bool_t AliTRDCalibraFit::CalculVdriftLorentzCoef() | |
4004 | { | |
4005 | // | |
4006 | // For the detector fCountDet, mean drift velocity and tan lorentzangle | |
4007 | // | |
4008 | ||
4009 | fCurrentCoef[1] = fCalDet->GetValue(fCountDet); | |
4010 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
55a288e5 | 4011 | |
3a0f6479 | 4012 | return kTRUE; |
4013 | } | |
55a288e5 | 4014 | //_____________________________________________________________________________ |
053767a4 | 4015 | Float_t AliTRDCalibraFit::GetPRFDefault(Int_t layer) const |
55a288e5 | 4016 | { |
4017 | // | |
4018 | // Default width of the PRF if there is no database as reference | |
4019 | // | |
053767a4 | 4020 | switch(layer) |
3a0f6479 | 4021 | { |
4022 | // default database | |
4023 | //case 0: return 0.515; | |
4024 | //case 1: return 0.502; | |
4025 | //case 2: return 0.491; | |
4026 | //case 3: return 0.481; | |
4027 | //case 4: return 0.471; | |
4028 | //case 5: return 0.463; | |
4029 | //default: return 0.0; | |
4030 | ||
4031 | // fit database | |
4032 | case 0: return 0.538429; | |
4033 | case 1: return 0.524302; | |
4034 | case 2: return 0.511591; | |
4035 | case 3: return 0.500140; | |
4036 | case 4: return 0.489821; | |
4037 | case 5: return 0.480524; | |
4038 | default: return 0.0; | |
55a288e5 | 4039 | } |
3a0f6479 | 4040 | } |
4041 | //________________________________________________________________________________ | |
4042 | void AliTRDCalibraFit::SetCalROC(Int_t i) | |
4043 | { | |
4044 | // | |
4045 | // Set the calib object for fCountDet | |
4046 | // | |
4047 | ||
4048 | Float_t value = 0.0; | |
4049 | ||
4050 | //Get the CalDet object | |
4051 | if(fAccCDB){ | |
4052 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
4053 | if (!cal) { | |
4054 | AliInfo("Could not get calibDB"); | |
4055 | return; | |
4056 | } | |
4057 | switch (i) | |
4058 | { | |
4059 | case 0: | |
64942b85 | 4060 | if( fCalROC ){ |
4061 | fCalROC->~AliTRDCalROC(); | |
4062 | new(fCalROC) AliTRDCalROC(*(cal->GetGainFactorROC(fCountDet))); | |
4063 | }else fCalROC = new AliTRDCalROC(*(cal->GetGainFactorROC(fCountDet))); | |
3a0f6479 | 4064 | break; |
4065 | case 1: | |
64942b85 | 4066 | if( fCalROC ){ |
4067 | fCalROC->~AliTRDCalROC(); | |
4068 | new(fCalROC) AliTRDCalROC(*(cal->GetVdriftROC(fCountDet))); | |
4069 | }else fCalROC = new AliTRDCalROC(*(cal->GetVdriftROC(fCountDet))); | |
4070 | if( fCalROC2 ){ | |
4071 | fCalROC2->~AliTRDCalROC(); | |
4072 | new(fCalROC2) AliTRDCalROC(*(cal->GetT0ROC(fCountDet))); | |
4073 | }else fCalROC2 = new AliTRDCalROC(*(cal->GetT0ROC(fCountDet))); | |
3a0f6479 | 4074 | break; |
4075 | case 2: | |
64942b85 | 4076 | if( fCalROC ){ |
4077 | fCalROC->~AliTRDCalROC(); | |
4078 | new(fCalROC) AliTRDCalROC(*(cal->GetPRFROC(fCountDet))); | |
4079 | }else fCalROC = new AliTRDCalROC(*(cal->GetPRFROC(fCountDet))); | |
4080 | break; | |
3a0f6479 | 4081 | default: return; |
4082 | } | |
55a288e5 | 4083 | } |
3a0f6479 | 4084 | else{ |
4085 | switch (i) | |
4086 | { | |
4087 | case 0: | |
4088 | if(fCalROC) delete fCalROC; | |
053767a4 | 4089 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); |
3a0f6479 | 4090 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
4091 | fCalROC->SetValue(k,1.0); | |
4092 | } | |
4093 | break; | |
4094 | case 1: | |
4095 | if(fCalROC) delete fCalROC; | |
4096 | if(fCalROC2) delete fCalROC2; | |
053767a4 | 4097 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); |
4098 | fCalROC2 = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); | |
3a0f6479 | 4099 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
4100 | fCalROC->SetValue(k,1.0); | |
4101 | fCalROC2->SetValue(k,0.0); | |
4102 | } | |
4103 | break; | |
4104 | case 2: | |
4105 | if(fCalROC) delete fCalROC; | |
053767a4 | 4106 | value = GetPRFDefault(GetLayer(fCountDet)); |
4107 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); | |
3a0f6479 | 4108 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
4109 | fCalROC->SetValue(k,value); | |
4110 | } | |
4111 | break; | |
4112 | default: return; | |
4113 | } | |
55a288e5 | 4114 | } |
4115 | ||
4116 | } | |
55a288e5 | 4117 | //____________Fit Methods______________________________________________________ |
4118 | ||
4119 | //_____________________________________________________________________________ | |
3a0f6479 | 4120 | void AliTRDCalibraFit::FitPente(TH1* projPH) |
55a288e5 | 4121 | { |
4122 | // | |
4123 | // Slope methode for the drift velocity | |
4124 | // | |
4125 | ||
4126 | // Constants | |
4127 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 4128 | Int_t binmax = 0; |
4129 | Int_t binmin = 0; | |
4130 | fPhd[0] = 0.0; | |
4131 | fPhd[1] = 0.0; | |
4132 | fPhd[2] = 0.0; | |
4133 | Int_t ju = 0; | |
4134 | fCurrentCoefE = 0.0; | |
4135 | fCurrentCoefE2 = 0.0; | |
4136 | fCurrentCoef[0] = 0.0; | |
4137 | fCurrentCoef2[0] = 0.0; | |
4138 | TLine *line = new TLine(); | |
55a288e5 | 4139 | |
4140 | // Some variables | |
4141 | TAxis *xpph = projPH->GetXaxis(); | |
4142 | Int_t nbins = xpph->GetNbins(); | |
4143 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
4144 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
4145 | Double_t widbins = (upedge - lowedge) / nbins; | |
4146 | Double_t limit = upedge + 0.5 * widbins; | |
4147 | Bool_t put = kTRUE; | |
4148 | ||
4149 | // Beginning of the signal | |
4150 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
4151 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
4152 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4153 | } | |
55a288e5 | 4154 | binmax = (Int_t) pentea->GetMaximumBin(); |
55a288e5 | 4155 | if (binmax <= 1) { |
4156 | binmax = 2; | |
4157 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4158 | } | |
4159 | if (binmax >= nbins) { | |
4160 | binmax = nbins-1; | |
4161 | put = kFALSE; | |
4162 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
4163 | } | |
4164 | pentea->Fit("pol2","0MR","",TMath::Max(pentea->GetBinCenter(binmax-1),0.0),pentea->GetBinCenter(binmax+1)); | |
4165 | Float_t l3P1am = pentea->GetFunction("pol2")->GetParameter(1); | |
4166 | Float_t l3P2am = pentea->GetFunction("pol2")->GetParameter(2); | |
4167 | Float_t l3P1amE = pentea->GetFunction("pol2")->GetParError(1); | |
4168 | Float_t l3P2amE = pentea->GetFunction("pol2")->GetParError(2); | |
4169 | if (l3P2am != 0) { | |
4170 | fPhd[0] = -(l3P1am / (2 * l3P2am)); | |
4171 | } | |
4172 | if(!fTakeTheMaxPH){ | |
4173 | if((l3P1am != 0.0) && (l3P2am != 0.0)){ | |
3a0f6479 | 4174 | fCurrentCoefE2 = (l3P1amE/l3P1am + l3P2amE/l3P2am)*fPhd[0]; |
55a288e5 | 4175 | } |
4176 | } | |
55a288e5 | 4177 | // Amplification region |
4178 | binmax = 0; | |
4179 | ju = 0; | |
4180 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 4181 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 4182 | binmax = kbin; |
4183 | ju = 1; | |
4184 | } | |
4185 | } | |
55a288e5 | 4186 | if (binmax <= 1) { |
4187 | binmax = 2; | |
4188 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4189 | } | |
4190 | if (binmax >= nbins) { | |
4191 | binmax = nbins-1; | |
4192 | put = kFALSE; | |
4193 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
4194 | } | |
4195 | projPH->Fit("pol2","0MR","",TMath::Max(projPH->GetBinCenter(binmax-1),0.0),projPH->GetBinCenter(binmax+1)); | |
4196 | Float_t l3P1amf = projPH->GetFunction("pol2")->GetParameter(1); | |
4197 | Float_t l3P2amf = projPH->GetFunction("pol2")->GetParameter(2); | |
4198 | Float_t l3P1amfE = projPH->GetFunction("pol2")->GetParError(1); | |
4199 | Float_t l3P2amfE = projPH->GetFunction("pol2")->GetParError(2); | |
55a288e5 | 4200 | if (l3P2amf != 0) { |
4201 | fPhd[1] = -(l3P1amf / (2 * l3P2amf)); | |
4202 | } | |
4203 | if((l3P1amf != 0.0) && (l3P2amf != 0.0)){ | |
3a0f6479 | 4204 | fCurrentCoefE = (l3P1amfE/l3P1amf + l3P2amfE/l3P2amf)*fPhd[1]; |
55a288e5 | 4205 | } |
4206 | if(fTakeTheMaxPH){ | |
3a0f6479 | 4207 | fCurrentCoefE2 = fCurrentCoefE; |
55a288e5 | 4208 | } |
55a288e5 | 4209 | // Drift region |
4210 | TH1D *pente = new TH1D("pente","pente",projPH->GetNbinsX(),0,(Float_t) limit); | |
4211 | for (Int_t k = TMath::Min(binmax+4,projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
4212 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4213 | } | |
4214 | binmin = 0; | |
4215 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
4216 | if (binmin <= 1) { | |
4217 | binmin = 2; | |
4218 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4219 | } | |
4220 | if (binmin >= nbins) { | |
4221 | binmin = nbins-1; | |
4222 | put = kFALSE; | |
4223 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
4224 | } | |
55a288e5 | 4225 | pente->Fit("pol2" |
4226 | ,"0MR" | |
4227 | ,"" | |
4228 | ,TMath::Max(pente->GetBinCenter(binmin-1), 0.0) | |
4229 | ,TMath::Min(pente->GetBinCenter(binmin+1),(Double_t) limit)); | |
4230 | Float_t l3P1dr = pente->GetFunction("pol2")->GetParameter(1); | |
4231 | Float_t l3P2dr = pente->GetFunction("pol2")->GetParameter(2); | |
4232 | Float_t l3P1drE = pente->GetFunction("pol2")->GetParError(1); | |
4233 | Float_t l3P2drE = pente->GetFunction("pol2")->GetParError(2); | |
4234 | if (l3P2dr != 0) { | |
4235 | fPhd[2] = -(l3P1dr / (2 * l3P2dr)); | |
4236 | } | |
4237 | if((l3P1dr != 0.0) && (l3P2dr != 0.0)){ | |
3a0f6479 | 4238 | fCurrentCoefE += (l3P1drE/l3P1dr + l3P2drE/l3P2dr)*fPhd[2]; |
55a288e5 | 4239 | } |
413153cb | 4240 | Float_t fPhdt0 = 0.0; |
4241 | Float_t t0Shift = 0.0; | |
4242 | if(fTakeTheMaxPH) { | |
4243 | fPhdt0 = fPhd[1]; | |
4244 | t0Shift = fT0Shift1; | |
4245 | } | |
4246 | else { | |
4247 | fPhdt0 = fPhd[0]; | |
4248 | t0Shift = fT0Shift0; | |
4249 | } | |
55a288e5 | 4250 | |
4251 | if ((fPhd[2] > fPhd[0]) && | |
4252 | (fPhd[2] > fPhd[1]) && | |
4253 | (fPhd[1] > fPhd[0]) && | |
4254 | (put)) { | |
3a0f6479 | 4255 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
4256 | fNumberFitSuccess++; | |
4257 | ||
55a288e5 | 4258 | if (fPhdt0 >= 0.0) { |
413153cb | 4259 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; |
3a0f6479 | 4260 | if (fCurrentCoef2[0] < -1.0) { |
64942b85 | 4261 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4262 | } |
4263 | } | |
4264 | else { | |
64942b85 | 4265 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4266 | } |
3a0f6479 | 4267 | |
55a288e5 | 4268 | } |
4269 | else { | |
3a0f6479 | 4270 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
64942b85 | 4271 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4272 | } |
4273 | ||
3a0f6479 | 4274 | if (fDebugLevel == 1) { |
55a288e5 | 4275 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
4276 | cpentei->cd(); | |
4277 | projPH->Draw(); | |
4278 | line->SetLineColor(2); | |
4279 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
4280 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
4281 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
4282 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
4283 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
4284 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 4285 | AliInfo(Form("fVriftCoef[1] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 4286 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
4287 | cpentei2->cd(); | |
4288 | pentea->Draw(); | |
4289 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
4290 | cpentei3->cd(); | |
4291 | pente->Draw(); | |
4292 | } | |
3a0f6479 | 4293 | else { |
55a288e5 | 4294 | delete pentea; |
55a288e5 | 4295 | delete pente; |
4296 | } | |
55a288e5 | 4297 | } |
55a288e5 | 4298 | //_____________________________________________________________________________ |
3a0f6479 | 4299 | void AliTRDCalibraFit::FitLagrangePoly(TH1* projPH) |
55a288e5 | 4300 | { |
4301 | // | |
4302 | // Slope methode but with polynomes de Lagrange | |
4303 | // | |
6aafa7ea | 4304 | |
55a288e5 | 4305 | // Constants |
4306 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 4307 | Int_t binmax = 0; |
4308 | Int_t binmin = 0; | |
4309 | Double_t *x = new Double_t[5]; | |
4310 | Double_t *y = new Double_t[5]; | |
4311 | x[0] = 0.0; | |
4312 | x[1] = 0.0; | |
4313 | x[2] = 0.0; | |
4314 | x[3] = 0.0; | |
4315 | x[4] = 0.0; | |
4316 | y[0] = 0.0; | |
4317 | y[1] = 0.0; | |
4318 | y[2] = 0.0; | |
4319 | y[3] = 0.0; | |
4320 | y[4] = 0.0; | |
4321 | fPhd[0] = 0.0; | |
4322 | fPhd[1] = 0.0; | |
4323 | fPhd[2] = 0.0; | |
4324 | Int_t ju = 0; | |
4325 | fCurrentCoefE = 0.0; | |
4326 | fCurrentCoefE2 = 1.0; | |
4327 | fCurrentCoef[0] = 0.0; | |
4328 | fCurrentCoef2[0] = 0.0; | |
55a288e5 | 4329 | TLine *line = new TLine(); |
4330 | TF1 * polynome = 0x0; | |
4331 | TF1 * polynomea = 0x0; | |
4332 | TF1 * polynomeb = 0x0; | |
4333 | Double_t *c = 0x0; | |
4334 | ||
4335 | // Some variables | |
4336 | TAxis *xpph = projPH->GetXaxis(); | |
4337 | Int_t nbins = xpph->GetNbins(); | |
4338 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
4339 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
4340 | Double_t widbins = (upedge - lowedge) / nbins; | |
4341 | Double_t limit = upedge + 0.5 * widbins; | |
4342 | ||
4343 | ||
4344 | Bool_t put = kTRUE; | |
4345 | ||
4346 | // Beginning of the signal | |
4347 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
4348 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
4349 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4350 | } | |
4351 | ||
4352 | binmax = (Int_t) pentea->GetMaximumBin(); | |
55a288e5 | 4353 | |
4354 | Double_t minnn = 0.0; | |
4355 | Double_t maxxx = 0.0; | |
4356 | ||
3a0f6479 | 4357 | Int_t kase = nbins-binmax; |
4358 | ||
4359 | switch(kase) | |
4360 | { | |
4361 | case 0: | |
4362 | put = kFALSE; | |
4363 | break; | |
4364 | case 1: | |
4365 | minnn = pentea->GetBinCenter(binmax-2); | |
4366 | maxxx = pentea->GetBinCenter(binmax); | |
4367 | x[0] = pentea->GetBinCenter(binmax-2); | |
4368 | x[1] = pentea->GetBinCenter(binmax-1); | |
4369 | x[2] = pentea->GetBinCenter(binmax); | |
4370 | y[0] = pentea->GetBinContent(binmax-2); | |
4371 | y[1] = pentea->GetBinContent(binmax-1); | |
4372 | y[2] = pentea->GetBinContent(binmax); | |
4373 | c = CalculPolynomeLagrange2(x,y); | |
4374 | AliInfo("At the limit for beginning!"); | |
4375 | break; | |
4376 | case 2: | |
4377 | minnn = pentea->GetBinCenter(binmax-2); | |
4378 | maxxx = pentea->GetBinCenter(binmax+1); | |
4379 | x[0] = pentea->GetBinCenter(binmax-2); | |
4380 | x[1] = pentea->GetBinCenter(binmax-1); | |
4381 | x[2] = pentea->GetBinCenter(binmax); | |
4382 | x[3] = pentea->GetBinCenter(binmax+1); | |
4383 | y[0] = pentea->GetBinContent(binmax-2); | |
4384 | y[1] = pentea->GetBinContent(binmax-1); | |
4385 | y[2] = pentea->GetBinContent(binmax); | |
4386 | y[3] = pentea->GetBinContent(binmax+1); | |
4387 | c = CalculPolynomeLagrange3(x,y); | |
4388 | break; | |
4389 | default: | |
4390 | switch(binmax){ | |
4391 | case 0: | |
4392 | put = kFALSE; | |
4393 | break; | |
4394 | case 1: | |
4395 | minnn = pentea->GetBinCenter(binmax); | |
4396 | maxxx = pentea->GetBinCenter(binmax+2); | |
4397 | x[0] = pentea->GetBinCenter(binmax); | |
4398 | x[1] = pentea->GetBinCenter(binmax+1); | |
4399 | x[2] = pentea->GetBinCenter(binmax+2); | |
4400 | y[0] = pentea->GetBinContent(binmax); | |
4401 | y[1] = pentea->GetBinContent(binmax+1); | |
4402 | y[2] = pentea->GetBinContent(binmax+2); | |
4403 | c = CalculPolynomeLagrange2(x,y); | |
4404 | break; | |
4405 | case 2: | |
4406 | minnn = pentea->GetBinCenter(binmax-1); | |
4407 | maxxx = pentea->GetBinCenter(binmax+2); | |
4408 | x[0] = pentea->GetBinCenter(binmax-1); | |
4409 | x[1] = pentea->GetBinCenter(binmax); | |
4410 | x[2] = pentea->GetBinCenter(binmax+1); | |
4411 | x[3] = pentea->GetBinCenter(binmax+2); | |
4412 | y[0] = pentea->GetBinContent(binmax-1); | |
4413 | y[1] = pentea->GetBinContent(binmax); | |
4414 | y[2] = pentea->GetBinContent(binmax+1); | |
4415 | y[3] = pentea->GetBinContent(binmax+2); | |
4416 | c = CalculPolynomeLagrange3(x,y); | |
4417 | break; | |
4418 | default: | |
4419 | minnn = pentea->GetBinCenter(binmax-2); | |
4420 | maxxx = pentea->GetBinCenter(binmax+2); | |
4421 | x[0] = pentea->GetBinCenter(binmax-2); | |
4422 | x[1] = pentea->GetBinCenter(binmax-1); | |
4423 | x[2] = pentea->GetBinCenter(binmax); | |
4424 | x[3] = pentea->GetBinCenter(binmax+1); | |
4425 | x[4] = pentea->GetBinCenter(binmax+2); | |
4426 | y[0] = pentea->GetBinContent(binmax-2); | |
4427 | y[1] = pentea->GetBinContent(binmax-1); | |
4428 | y[2] = pentea->GetBinContent(binmax); | |
4429 | y[3] = pentea->GetBinContent(binmax+1); | |
4430 | y[4] = pentea->GetBinContent(binmax+2); | |
4431 | c = CalculPolynomeLagrange4(x,y); | |
4432 | break; | |
4433 | } | |
4434 | break; | |
55a288e5 | 4435 | } |
3a0f6479 | 4436 | |
4437 | ||
55a288e5 | 4438 | if(put) { |
4439 | polynomeb = new TF1("polb","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minnn,maxxx); | |
4440 | polynomeb->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
3a0f6479 | 4441 | |
55a288e5 | 4442 | Double_t step = (maxxx-minnn)/10000; |
4443 | Double_t l = minnn; | |
4444 | Double_t maxvalue = 0.0; | |
4445 | Double_t placemaximum = minnn; | |
4446 | for(Int_t o = 0; o < 10000; o++){ | |
4447 | if(o == 0) maxvalue = polynomeb->Eval(l); | |
4448 | if(maxvalue < (polynomeb->Eval(l))){ | |
4449 | maxvalue = polynomeb->Eval(l); | |
4450 | placemaximum = l; | |
4451 | } | |
4452 | l += step; | |
4453 | } | |
4454 | fPhd[0] = placemaximum; | |
4455 | } | |
55a288e5 | 4456 | |
4457 | // Amplification region | |
4458 | binmax = 0; | |
4459 | ju = 0; | |
4460 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 4461 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 4462 | binmax = kbin; |
4463 | ju = 1; | |
4464 | } | |
4465 | } | |
3a0f6479 | 4466 | |
55a288e5 | 4467 | Double_t minn = 0.0; |
4468 | Double_t maxx = 0.0; | |
3a0f6479 | 4469 | x[0] = 0.0; |
4470 | x[1] = 0.0; | |
4471 | x[2] = 0.0; | |
4472 | x[3] = 0.0; | |
4473 | x[4] = 0.0; | |
4474 | y[0] = 0.0; | |
4475 | y[1] = 0.0; | |
4476 | y[2] = 0.0; | |
4477 | y[3] = 0.0; | |
4478 | y[4] = 0.0; | |
4479 | ||
4480 | Int_t kase1 = nbins - binmax; | |
55a288e5 | 4481 | |
4482 | //Determination of minn and maxx | |
4483 | //case binmax = nbins | |
4484 | //pol2 | |
3a0f6479 | 4485 | switch(kase1) |
4486 | { | |
4487 | case 0: | |
4488 | minn = projPH->GetBinCenter(binmax-2); | |
4489 | maxx = projPH->GetBinCenter(binmax); | |
4490 | x[0] = projPH->GetBinCenter(binmax-2); | |
4491 | x[1] = projPH->GetBinCenter(binmax-1); | |
4492 | x[2] = projPH->GetBinCenter(binmax); | |
4493 | y[0] = projPH->GetBinContent(binmax-2); | |
4494 | y[1] = projPH->GetBinContent(binmax-1); | |
4495 | y[2] = projPH->GetBinContent(binmax); | |
4496 | c = CalculPolynomeLagrange2(x,y); | |
4497 | //AliInfo("At the limit for the drift!"); | |
4498 | break; | |
4499 | case 1: | |
4500 | minn = projPH->GetBinCenter(binmax-2); | |
4501 | maxx = projPH->GetBinCenter(binmax+1); | |
4502 | x[0] = projPH->GetBinCenter(binmax-2); | |
4503 | x[1] = projPH->GetBinCenter(binmax-1); | |
4504 | x[2] = projPH->GetBinCenter(binmax); | |
4505 | x[3] = projPH->GetBinCenter(binmax+1); | |
4506 | y[0] = projPH->GetBinContent(binmax-2); | |
4507 | y[1] = projPH->GetBinContent(binmax-1); | |
4508 | y[2] = projPH->GetBinContent(binmax); | |
4509 | y[3] = projPH->GetBinContent(binmax+1); | |
4510 | c = CalculPolynomeLagrange3(x,y); | |
4511 | break; | |
4512 | default: | |
4513 | switch(binmax) | |
4514 | { | |
4515 | case 0: | |
4516 | put = kFALSE; | |
4517 | break; | |
4518 | case 1: | |
4519 | minn = projPH->GetBinCenter(binmax); | |
4520 | maxx = projPH->GetBinCenter(binmax+2); | |
4521 | x[0] = projPH->GetBinCenter(binmax); | |
4522 | x[1] = projPH->GetBinCenter(binmax+1); | |
4523 | x[2] = projPH->GetBinCenter(binmax+2); | |
4524 | y[0] = projPH->GetBinContent(binmax); | |
4525 | y[1] = projPH->GetBinContent(binmax+1); | |
4526 | y[2] = projPH->GetBinContent(binmax+2); | |
4527 | c = CalculPolynomeLagrange2(x,y); | |
4528 | break; | |
4529 | case 2: | |
4530 | minn = projPH->GetBinCenter(binmax-1); | |
4531 | maxx = projPH->GetBinCenter(binmax+2); | |
4532 | x[0] = projPH->GetBinCenter(binmax-1); | |
4533 | x[1] = projPH->GetBinCenter(binmax); | |
4534 | x[2] = projPH->GetBinCenter(binmax+1); | |
4535 | x[3] = projPH->GetBinCenter(binmax+2); | |
4536 | y[0] = projPH->GetBinContent(binmax-1); | |
4537 | y[1] = projPH->GetBinContent(binmax); | |
4538 | y[2] = projPH->GetBinContent(binmax+1); | |
4539 | y[3] = projPH->GetBinContent(binmax+2); | |
4540 | c = CalculPolynomeLagrange3(x,y); | |
4541 | break; | |
4542 | default: | |
4543 | minn = projPH->GetBinCenter(binmax-2); | |
4544 | maxx = projPH->GetBinCenter(binmax+2); | |
4545 | x[0] = projPH->GetBinCenter(binmax-2); | |
4546 | x[1] = projPH->GetBinCenter(binmax-1); | |
4547 | x[2] = projPH->GetBinCenter(binmax); | |
4548 | x[3] = projPH->GetBinCenter(binmax+1); | |
4549 | x[4] = projPH->GetBinCenter(binmax+2); | |
4550 | y[0] = projPH->GetBinContent(binmax-2); | |
4551 | y[1] = projPH->GetBinContent(binmax-1); | |
4552 | y[2] = projPH->GetBinContent(binmax); | |
4553 | y[3] = projPH->GetBinContent(binmax+1); | |
4554 | y[4] = projPH->GetBinContent(binmax+2); | |
4555 | c = CalculPolynomeLagrange4(x,y); | |
4556 | break; | |
4557 | } | |
4558 | break; | |
55a288e5 | 4559 | } |
3a0f6479 | 4560 | |
55a288e5 | 4561 | if(put) { |
4562 | polynomea = new TF1("pola","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minn,maxx); | |
4563 | polynomea->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
3a0f6479 | 4564 | |
55a288e5 | 4565 | Double_t step = (maxx-minn)/1000; |
4566 | Double_t l = minn; | |
4567 | Double_t maxvalue = 0.0; | |
4568 | Double_t placemaximum = minn; | |
4569 | for(Int_t o = 0; o < 1000; o++){ | |
4570 | if(o == 0) maxvalue = polynomea->Eval(l); | |
4571 | if(maxvalue < (polynomea->Eval(l))){ | |
4572 | maxvalue = polynomea->Eval(l); | |
4573 | placemaximum = l; | |
4574 | } | |
4575 | l += step; | |
4576 | } | |
4577 | fPhd[1] = placemaximum; | |
4578 | } | |
4579 | ||
55a288e5 | 4580 | // Drift region |
4581 | TH1D *pente = new TH1D("pente","pente", projPH->GetNbinsX(),0,(Float_t) limit); | |
4582 | for (Int_t k = TMath::Min(binmax+4, projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
4583 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4584 | } | |
4585 | binmin = 0; | |
4586 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
4587 | ||
4588 | //should not happen | |
4589 | if (binmin <= 1) { | |
4590 | binmin = 2; | |
4591 | put = 1; | |
4592 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4593 | } | |
4594 | ||
4595 | //check | |
64942b85 | 4596 | if((projPH->GetBinContent(binmin)-projPH->GetBinError(binmin)) < (projPH->GetBinContent(binmin+1))) { |
4597 | AliInfo("Too many fluctuations at the end!"); | |
4598 | put = kFALSE; | |
4599 | } | |
4600 | if((projPH->GetBinContent(binmin)+projPH->GetBinError(binmin)) > (projPH->GetBinContent(binmin-1))) { | |
4601 | AliInfo("Too many fluctuations at the end!"); | |
4602 | put = kFALSE; | |
4603 | } | |
4604 | if(pente->GetBinContent(binmin+1)==0){ | |
4605 | AliInfo("No entries for the next bin!"); | |
4606 | pente->SetBinContent(binmin,0); | |
4607 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
4608 | } | |
4609 | ||
3a0f6479 | 4610 | |
4611 | x[0] = 0.0; | |
4612 | x[1] = 0.0; | |
4613 | x[2] = 0.0; | |
4614 | x[3] = 0.0; | |
4615 | x[4] = 0.0; | |
4616 | y[0] = 0.0; | |
4617 | y[1] = 0.0; | |
4618 | y[2] = 0.0; | |
4619 | y[3] = 0.0; | |
4620 | y[4] = 0.0; | |
55a288e5 | 4621 | Double_t min = 0.0; |
4622 | Double_t max = 0.0; | |
4623 | Bool_t case1 = kFALSE; | |
4624 | Bool_t case2 = kFALSE; | |
4625 | Bool_t case4 = kFALSE; | |
4626 | ||
4627 | //Determination of min and max | |
4628 | //case binmin <= nbins-3 | |
4629 | //pol4 case 3 | |
4630 | if((binmin <= (nbins-3)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4631 | min = pente->GetBinCenter(binmin-2); | |
4632 | max = pente->GetBinCenter(binmin+2); | |
4633 | x[0] = pente->GetBinCenter(binmin-2); | |
4634 | x[1] = pente->GetBinCenter(binmin-1); | |
4635 | x[2] = pente->GetBinCenter(binmin); | |
4636 | x[3] = pente->GetBinCenter(binmin+1); | |
4637 | x[4] = pente->GetBinCenter(binmin+2); | |
4638 | y[0] = pente->GetBinContent(binmin-2); | |
4639 | y[1] = pente->GetBinContent(binmin-1); | |
4640 | y[2] = pente->GetBinContent(binmin); | |
4641 | y[3] = pente->GetBinContent(binmin+1); | |
4642 | y[4] = pente->GetBinContent(binmin+2); | |
4643 | //Calcul the polynome de Lagrange | |
4644 | c = CalculPolynomeLagrange4(x,y); | |
4645 | //richtung +/- | |
4646 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && | |
64942b85 | 4647 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4648 | //AliInfo("polynome 4 false 1"); | |
4649 | put = kFALSE; | |
4650 | } | |
55a288e5 | 4651 | if(((binmin+3) <= (nbins-1)) && |
4652 | (pente->GetBinContent(binmin+3) <= pente->GetBinContent(binmin+2)) && | |
4653 | ((binmin-3) >= TMath::Min(binmax+4, projPH->GetNbinsX())) && | |
64942b85 | 4654 | (pente->GetBinContent(binmin-3) <= pente->GetBinContent(binmin-2))) { |
4655 | AliInfo("polynome 4 false 2"); | |
4656 | put = kFALSE; | |
4657 | } | |
4658 | // poly 3 | |
55a288e5 | 4659 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && |
64942b85 | 4660 | (pente->GetBinContent(binmin-2) > pente->GetBinContent(binmin-1))) { |
4661 | //AliInfo("polynome 4 case 1"); | |
4662 | case1 = kTRUE; | |
4663 | } | |
55a288e5 | 4664 | if((pente->GetBinContent(binmin+2) > pente->GetBinContent(binmin+1)) && |
64942b85 | 4665 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4666 | //AliInfo("polynome 4 case 4"); | |
4667 | case4 = kTRUE; | |
4668 | } | |
4669 | ||
55a288e5 | 4670 | } |
4671 | //case binmin = nbins-2 | |
4672 | //pol3 case 1 | |
4673 | if(((binmin == (nbins-2)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
4674 | (case1)){ | |
4675 | min = pente->GetBinCenter(binmin-2); | |
4676 | max = pente->GetBinCenter(binmin+1); | |
4677 | x[0] = pente->GetBinCenter(binmin-2); | |
4678 | x[1] = pente->GetBinCenter(binmin-1); | |
4679 | x[2] = pente->GetBinCenter(binmin); | |
4680 | x[3] = pente->GetBinCenter(binmin+1); | |
4681 | y[0] = pente->GetBinContent(binmin-2); | |
4682 | y[1] = pente->GetBinContent(binmin-1); | |
4683 | y[2] = pente->GetBinContent(binmin); | |
4684 | y[3] = pente->GetBinContent(binmin+1); | |
4685 | //Calcul the polynome de Lagrange | |
4686 | c = CalculPolynomeLagrange3(x,y); | |
4687 | //richtung +: nothing | |
4688 | //richtung - | |
64942b85 | 4689 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4690 | //AliInfo("polynome 3- case 2"); | |
4691 | case2 = kTRUE; | |
4692 | } | |
55a288e5 | 4693 | } |
4694 | //pol3 case 4 | |
4695 | if(((binmin <= (nbins-3)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
4696 | (case4)){ | |
4697 | min = pente->GetBinCenter(binmin-1); | |
4698 | max = pente->GetBinCenter(binmin+2); | |
4699 | x[0] = pente->GetBinCenter(binmin-1); | |
4700 | x[1] = pente->GetBinCenter(binmin); | |
4701 | x[2] = pente->GetBinCenter(binmin+1); | |
4702 | x[3] = pente->GetBinCenter(binmin+2); | |
4703 | y[0] = pente->GetBinContent(binmin-1); | |
4704 | y[1] = pente->GetBinContent(binmin); | |
4705 | y[2] = pente->GetBinContent(binmin+1); | |
4706 | y[3] = pente->GetBinContent(binmin+2); | |
4707 | //Calcul the polynome de Lagrange | |
4708 | c = CalculPolynomeLagrange3(x,y); | |
4709 | //richtung + | |
64942b85 | 4710 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) { |
4711 | //AliInfo("polynome 3+ case 2"); | |
4712 | case2 = kTRUE; | |
4713 | } | |
55a288e5 | 4714 | } |
4715 | //pol2 case 5 | |
4716 | if((binmin <= (nbins-3)) && (binmin == TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4717 | min = pente->GetBinCenter(binmin); | |
4718 | max = pente->GetBinCenter(binmin+2); | |
4719 | x[0] = pente->GetBinCenter(binmin); | |
4720 | x[1] = pente->GetBinCenter(binmin+1); | |
4721 | x[2] = pente->GetBinCenter(binmin+2); | |
4722 | y[0] = pente->GetBinContent(binmin); | |
4723 | y[1] = pente->GetBinContent(binmin+1); | |
4724 | y[2] = pente->GetBinContent(binmin+2); | |
4725 | //Calcul the polynome de Lagrange | |
4726 | c = CalculPolynomeLagrange2(x,y); | |
4727 | //richtung + | |
64942b85 | 4728 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) { |
4729 | //AliInfo("polynome 2+ false"); | |
4730 | put = kFALSE; | |
4731 | } | |
55a288e5 | 4732 | } |
4733 | //pol2 case 2 | |
4734 | if(((binmin == (nbins-2)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
4735 | (case2)){ | |
4736 | min = pente->GetBinCenter(binmin-1); | |
4737 | max = pente->GetBinCenter(binmin+1); | |
4738 | x[0] = pente->GetBinCenter(binmin-1); | |
4739 | x[1] = pente->GetBinCenter(binmin); | |
4740 | x[2] = pente->GetBinCenter(binmin+1); | |
4741 | y[0] = pente->GetBinContent(binmin-1); | |
4742 | y[1] = pente->GetBinContent(binmin); | |
4743 | y[2] = pente->GetBinContent(binmin+1); | |
4744 | //Calcul the polynome de Lagrange | |
4745 | c = CalculPolynomeLagrange2(x,y); | |
4746 | //richtung +: nothing | |
4747 | //richtung -: nothing | |
4748 | } | |
4749 | //case binmin = nbins-1 | |
4750 | //pol2 case 0 | |
4751 | if((binmin == (nbins-1)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4752 | min = pente->GetBinCenter(binmin-2); | |
4753 | max = pente->GetBinCenter(binmin); | |
4754 | x[0] = pente->GetBinCenter(binmin-2); | |
4755 | x[1] = pente->GetBinCenter(binmin-1); | |
4756 | x[2] = pente->GetBinCenter(binmin); | |
4757 | y[0] = pente->GetBinContent(binmin-2); | |
4758 | y[1] = pente->GetBinContent(binmin-1); | |
4759 | y[2] = pente->GetBinContent(binmin); | |
4760 | //Calcul the polynome de Lagrange | |
4761 | c = CalculPolynomeLagrange2(x,y); | |
3a0f6479 | 4762 | //AliInfo("At the limit for the drift!"); |
55a288e5 | 4763 | //fluctuation too big! |
4764 | //richtung +: nothing | |
4765 | //richtung - | |
64942b85 | 4766 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4767 | //AliInfo("polynome 2- false "); | |
4768 | put = kFALSE; | |
4769 | } | |
55a288e5 | 4770 | } |
4771 | if((binmin == (nbins-1)) && ((binmin-2) < TMath::Min(binmax+4, projPH->GetNbinsX()))) { | |
4772 | put = kFALSE; | |
4773 | AliInfo("At the limit for the drift and not usable!"); | |
4774 | } | |
4775 | ||
4776 | //pass | |
4777 | if((binmin == (nbins-2)) && ((binmin-1) < TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4778 | put = kFALSE; | |
4779 | AliInfo("For the drift...problem!"); | |
4780 | } | |
55a288e5 | 4781 | //pass but should not happen |
64942b85 | 4782 | if((binmin <= (nbins-3)) && (binmin < TMath::Min(binmax+6, projPH->GetNbinsX()))){ |
55a288e5 | 4783 | put = kFALSE; |
4784 | AliInfo("For the drift...problem!"); | |
4785 | } | |
3a0f6479 | 4786 | |
55a288e5 | 4787 | if(put) { |
4788 | polynome = new TF1("pol","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",min,max); | |
4789 | polynome->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
55a288e5 | 4790 | //AliInfo(Form("GetMinimum of the function %f",polynome->GetMinimumX())); |
4791 | Double_t step = (max-min)/1000; | |
4792 | Double_t l = min; | |
4793 | Double_t minvalue = 0.0; | |
4794 | Double_t placeminimum = min; | |
4795 | for(Int_t o = 0; o < 1000; o++){ | |
4796 | if(o == 0) minvalue = polynome->Eval(l); | |
4797 | if(minvalue > (polynome->Eval(l))){ | |
4798 | minvalue = polynome->Eval(l); | |
4799 | placeminimum = l; | |
4800 | } | |
4801 | l += step; | |
4802 | } | |
4803 | fPhd[2] = placeminimum; | |
4804 | } | |
64942b85 | 4805 | //printf("La fin %d\n",((Int_t)(fPhd[2]*10.0))+2); |
4806 | if((((Int_t)(fPhd[2]*10.0))+2) >= projPH->GetNbinsX()) fPhd[2] = 0.0; | |
4807 | if(((((Int_t)(fPhd[2]*10.0))+2) < projPH->GetNbinsX()) && (projPH->GetBinContent(((Int_t)(fPhd[2]*10.0))+2)==0)) fPhd[2] = 0.0; | |
3a0f6479 | 4808 | |
413153cb | 4809 | Float_t fPhdt0 = 0.0; |
4810 | Float_t t0Shift = 0.0; | |
4811 | if(fTakeTheMaxPH) { | |
4812 | fPhdt0 = fPhd[1]; | |
4813 | t0Shift = fT0Shift1; | |
4814 | } | |
4815 | else { | |
4816 | fPhdt0 = fPhd[0]; | |
4817 | t0Shift = fT0Shift0; | |
4818 | } | |
55a288e5 | 4819 | |
4820 | if ((fPhd[2] > fPhd[0]) && | |
4821 | (fPhd[2] > fPhd[1]) && | |
4822 | (fPhd[1] > fPhd[0]) && | |
4823 | (put)) { | |
3a0f6479 | 4824 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
6210514c | 4825 | if(fCurrentCoef[0] > 2.5) fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
6aafa7ea | 4826 | else fNumberFitSuccess++; |
55a288e5 | 4827 | if (fPhdt0 >= 0.0) { |
413153cb | 4828 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; |
3a0f6479 | 4829 | if (fCurrentCoef2[0] < -1.0) { |
64942b85 | 4830 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4831 | } |
4832 | } | |
4833 | else { | |
64942b85 | 4834 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4835 | } |
4836 | } | |
4837 | else { | |
6210514c | 4838 | //printf("Put default %f\n",-TMath::Abs(fCurrentCoef[1])); |
4839 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4840 | ||
64942b85 | 4841 | if((fPhd[1] > fPhd[0]) && |
4842 | (put)) { | |
4843 | if (fPhdt0 >= 0.0) { | |
4844 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; | |
4845 | if (fCurrentCoef2[0] < -1.0) { | |
4846 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
4847 | } | |
4848 | } | |
4849 | else { | |
4850 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
4851 | } | |
4852 | } | |
4853 | else{ | |
64942b85 | 4854 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
4855 | //printf("Fit failed!\n"); | |
4856 | } | |
55a288e5 | 4857 | } |
4858 | ||
3a0f6479 | 4859 | if (fDebugLevel == 1) { |
55a288e5 | 4860 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
4861 | cpentei->cd(); | |
4862 | projPH->Draw(); | |
4863 | line->SetLineColor(2); | |
4864 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
4865 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
4866 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
4867 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
4868 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
4869 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 4870 | AliInfo(Form("fVriftCoef[3] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 4871 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
4872 | cpentei2->cd(); | |
4873 | pentea->Draw(); | |
4874 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
4875 | cpentei3->cd(); | |
4876 | pente->Draw(); | |
4877 | } | |
3a0f6479 | 4878 | else { |
1ca79a00 | 4879 | if(pentea) delete pentea; |
4880 | if(pente) delete pente; | |
4881 | if(polynome) delete polynome; | |
4882 | if(polynomea) delete polynomea; | |
4883 | if(polynomeb) delete polynomeb; | |
4884 | if(x) delete [] x; | |
4885 | if(y) delete [] y; | |
4886 | if(c) delete [] c; | |
4887 | if(line) delete line; | |
4888 | ||
55a288e5 | 4889 | } |
64942b85 | 4890 | |
4891 | //Provisoire | |
4892 | //if(fCurrentCoef[0] > 1.7) fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4893 | //if((fCurrentCoef2[0] > 2.6) || (fCurrentCoef2[0] < 2.1)) fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
3a0f6479 | 4894 | |
55a288e5 | 4895 | projPH->SetDirectory(0); |
4896 | ||
4897 | } | |
4898 | ||
4899 | //_____________________________________________________________________________ | |
4900 | void AliTRDCalibraFit::FitPH(TH1* projPH, Int_t idect) | |
4901 | { | |
4902 | // | |
4903 | // Fit methode for the drift velocity | |
4904 | // | |
4905 | ||
4906 | // Constants | |
4907 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
4908 | ||
4909 | // Some variables | |
4910 | TAxis *xpph = projPH->GetXaxis(); | |
4911 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
4912 | ||
4913 | TF1 *fPH = new TF1("fPH",AliTRDCalibraFit::PH,-0.05,3.2,6); | |
4914 | fPH->SetParameter(0,0.469); // Scaling | |
4915 | fPH->SetParameter(1,0.18); // Start | |
4916 | fPH->SetParameter(2,0.0857325); // AR | |
4917 | fPH->SetParameter(3,1.89); // DR | |
4918 | fPH->SetParameter(4,0.08); // QA/QD | |
4919 | fPH->SetParameter(5,0.0); // Baseline | |
4920 | ||
4921 | TLine *line = new TLine(); | |
4922 | ||
3a0f6479 | 4923 | fCurrentCoef[0] = 0.0; |
4924 | fCurrentCoef2[0] = 0.0; | |
4925 | fCurrentCoefE = 0.0; | |
4926 | fCurrentCoefE2 = 0.0; | |
55a288e5 | 4927 | |
4928 | if (idect%fFitPHPeriode == 0) { | |
4929 | ||
3a0f6479 | 4930 | AliInfo(Form("The detector %d will be fitted",idect)); |
55a288e5 | 4931 | fPH->SetParameter(0,(projPH->Integral()-(projPH->GetBinContent(1)*projPH->GetNbinsX())) * 0.00028); // Scaling |
4932 | fPH->SetParameter(1,fPhd[0] - 0.1); // Start | |
4933 | fPH->SetParameter(2,fPhd[1] - fPhd[0]); // AR | |
4934 | fPH->SetParameter(3,fPhd[2] - fPhd[1]); // DR | |
4935 | fPH->SetParameter(4,0.225); // QA/QD | |
4936 | fPH->SetParameter(5,(Float_t) projPH->GetBinContent(1)); | |
4937 | ||
3a0f6479 | 4938 | if (fDebugLevel != 1) { |
55a288e5 | 4939 | projPH->Fit(fPH,"0M","",0.0,upedge); |
4940 | } | |
3a0f6479 | 4941 | else { |
55a288e5 | 4942 | TCanvas *cpente = new TCanvas("cpente","cpente",50,50,600,800); |
4943 | cpente->cd(); | |
4944 | projPH->Fit(fPH,"M+","",0.0,upedge); | |
4945 | projPH->Draw("E0"); | |
4946 | line->SetLineColor(4); | |
4947 | line->DrawLine(fPH->GetParameter(1) | |
4948 | ,0 | |
4949 | ,fPH->GetParameter(1) | |
4950 | ,projPH->GetMaximum()); | |
4951 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2) | |
4952 | ,0 | |
4953 | ,fPH->GetParameter(1)+fPH->GetParameter(2) | |
4954 | ,projPH->GetMaximum()); | |
4955 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
4956 | ,0 | |
4957 | ,fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
4958 | ,projPH->GetMaximum()); | |
4959 | } | |
4960 | ||
4961 | if (fPH->GetParameter(3) != 0) { | |
3a0f6479 | 4962 | fNumberFitSuccess++; |
4963 | fCurrentCoef[0] = kDrWidth / (fPH->GetParameter(3)); | |
4964 | fCurrentCoefE = (fPH->GetParError(3)/fPH->GetParameter(3))*fCurrentCoef[0]; | |
4965 | fCurrentCoef2[0] = fPH->GetParameter(1); | |
4966 | fCurrentCoefE2 = fPH->GetParError(1); | |
55a288e5 | 4967 | } |
4968 | else { | |
3a0f6479 | 4969 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
64942b85 | 4970 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4971 | } |
3a0f6479 | 4972 | |
55a288e5 | 4973 | } |
55a288e5 | 4974 | else { |
4975 | ||
3a0f6479 | 4976 | // Put the default value |
4977 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
64942b85 | 4978 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4979 | } |
4980 | ||
3a0f6479 | 4981 | if (fDebugLevel != 1) { |
55a288e5 | 4982 | delete fPH; |
4983 | } | |
4984 | ||
4985 | } | |
55a288e5 | 4986 | //_____________________________________________________________________________ |
3a0f6479 | 4987 | Bool_t AliTRDCalibraFit::FitPRFGausMI(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nBins, Float_t xMin, Float_t xMax) |
55a288e5 | 4988 | { |
4989 | // | |
4990 | // Fit methode for the sigma of the pad response function | |
4991 | // | |
3a0f6479 | 4992 | |
4993 | TVectorD param(3); | |
55a288e5 | 4994 | |
3a0f6479 | 4995 | fCurrentCoef[0] = 0.0; |
4996 | fCurrentCoefE = 0.0; | |
4997 | ||
4998 | Double_t ret = FitGausMI(arraye, arraym, arrayme, nBins, xMin, xMax,¶m); | |
4999 | ||
5000 | if(ret == -4){ | |
5001 | fCurrentCoef[0] = -fCurrentCoef[1]; | |
5002 | return kFALSE; | |
5003 | } | |
5004 | else { | |
5005 | fNumberFitSuccess++; | |
5006 | fCurrentCoef[0] = param[2]; | |
5007 | fCurrentCoefE = ret; | |
5008 | return kTRUE; | |
5009 | } | |
5010 | } | |
5011 | //_____________________________________________________________________________ | |
7bce990c | 5012 | Double_t AliTRDCalibraFit::FitGausMI(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nBins, Float_t xMin, Float_t xMax, TVectorD *param, Bool_t bError) |
3a0f6479 | 5013 | { |
5014 | // | |
5015 | // Fit methode for the sigma of the pad response function | |
5016 | // | |
5017 | ||
5018 | //We should have at least 3 points | |
5019 | if(nBins <=3) return -4.0; | |
5020 | ||
5021 | TLinearFitter fitter(3,"pol2"); | |
5022 | fitter.StoreData(kFALSE); | |
5023 | fitter.ClearPoints(); | |
5024 | TVectorD par(3); | |
5025 | Float_t binWidth = (xMax-xMin)/(Float_t)nBins; | |
5026 | Float_t entries = 0; | |
5027 | Int_t nbbinwithentries = 0; | |
5028 | for (Int_t i=0; i<nBins; i++){ | |
5029 | entries+=arraye[i]; | |
5030 | if(arraye[i] > 15) nbbinwithentries++; | |
5031 | //printf("entries for i %d: %f\n",i,arraye[i]); | |
5032 | } | |
5033 | if ((entries<700) || (nbbinwithentries < ((Int_t)(nBins/2)))) return -4; | |
5034 | //printf("entries %f\n",entries); | |
5035 | //printf("nbbinwithentries %d\n",nbbinwithentries); | |
5036 | ||
5037 | Int_t npoints=0; | |
5038 | Float_t errorm = 0.0; | |
5039 | Float_t errorn = 0.0; | |
5040 | Float_t error = 0.0; | |
5041 | ||
5042 | // | |
5043 | for (Int_t ibin=0;ibin<nBins; ibin++){ | |
5044 | Float_t entriesI = arraye[ibin]; | |
5045 | Float_t valueI = arraym[ibin]; | |
5046 | Double_t xcenter = 0.0; | |
5047 | Float_t val = 0.0; | |
5048 | if ((entriesI>15) && (valueI>0.0)){ | |
5049 | xcenter = xMin+(ibin+0.5)*binWidth; | |
5050 | errorm = 0.0; | |
5051 | errorn = 0.0; | |
5052 | error = 0.0; | |
7bce990c | 5053 | if(!bError){ |
3a0f6479 | 5054 | if((valueI + 0.01) > 0.0) errorm = TMath::Log((valueI + 0.01)/valueI); |
5055 | if((valueI - 0.01) > 0.0) errorn = TMath::Log((valueI - 0.01)/valueI); | |
5056 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
5057 | } | |
5058 | else{ | |
5059 | if((valueI + arrayme[ibin]) > 0.0) errorm = TMath::Log((valueI + arrayme[ibin])/valueI); | |
5060 | if((valueI - arrayme[ibin]) > 0.0) errorn = TMath::Log((valueI - arrayme[ibin])/valueI); | |
5061 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
5062 | } | |
5063 | if(error == 0.0) continue; | |
5064 | val = TMath::Log(Float_t(valueI)); | |
5065 | fitter.AddPoint(&xcenter,val,error); | |
5066 | npoints++; | |
5067 | } | |
5068 | ||
5069 | if(fDebugLevel > 1){ | |
55a288e5 | 5070 | |
3a0f6479 | 5071 | if ( !fDebugStreamer ) { |
5072 | //debug stream | |
5073 | TDirectory *backup = gDirectory; | |
4aad967c | 5074 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5075 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5076 | } | |
5077 | ||
5078 | Int_t detector = fCountDet; | |
053767a4 | 5079 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5080 | Int_t group = ibin; |
5081 | ||
5082 | (* fDebugStreamer) << "FitGausMIFill"<< | |
5083 | "detector="<<detector<< | |
053767a4 | 5084 | "layer="<<layer<< |
3a0f6479 | 5085 | "nbins="<<nBins<< |
5086 | "group="<<group<< | |
5087 | "entriesI="<<entriesI<< | |
5088 | "valueI="<<valueI<< | |
5089 | "val="<<val<< | |
5090 | "xcenter="<<xcenter<< | |
5091 | "errorm="<<errorm<< | |
5092 | "errorn="<<errorn<< | |
5093 | "error="<<error<< | |
7bce990c | 5094 | "bError="<<bError<< |
3a0f6479 | 5095 | "\n"; |
5096 | } | |
5097 | ||
5098 | } | |
5099 | ||
5100 | if(npoints <=3) return -4.0; | |
5101 | ||
5102 | Double_t chi2 = 0; | |
5103 | if (npoints>3){ | |
5104 | fitter.Eval(); | |
5105 | fitter.GetParameters(par); | |
5106 | chi2 = fitter.GetChisquare()/Float_t(npoints); | |
55a288e5 | 5107 | |
3a0f6479 | 5108 | |
5109 | if (!param) param = new TVectorD(3); | |
5110 | if(par[2] == 0.0) return -4.0; | |
5111 | Double_t x = TMath::Sqrt(TMath::Abs(-2*par[2])); | |
5112 | Double_t deltax = (fitter.GetParError(2))/x; | |
5113 | Double_t errorparam2 = TMath::Abs(deltax)/(x*x); | |
5114 | chi2 = errorparam2; | |
55a288e5 | 5115 | |
3a0f6479 | 5116 | (*param)[1] = par[1]/(-2.*par[2]); |
5117 | (*param)[2] = 1./TMath::Sqrt(TMath::Abs(-2.*par[2])); | |
5118 | Double_t lnparam0 = par[0]+ par[1]* (*param)[1] + par[2]*(*param)[1]*(*param)[1]; | |
5119 | if ( lnparam0>307 ) return -4; | |
5120 | (*param)[0] = TMath::Exp(lnparam0); | |
5121 | ||
5122 | if(fDebugLevel > 1){ | |
5123 | ||
5124 | if ( !fDebugStreamer ) { | |
5125 | //debug stream | |
5126 | TDirectory *backup = gDirectory; | |
4aad967c | 5127 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5128 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5129 | } | |
5130 | ||
5131 | Int_t detector = fCountDet; | |
053767a4 | 5132 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5133 | |
5134 | ||
5135 | (* fDebugStreamer) << "FitGausMIFit"<< | |
5136 | "detector="<<detector<< | |
053767a4 | 5137 | "layer="<<layer<< |
3a0f6479 | 5138 | "nbins="<<nBins<< |
5139 | "errorsigma="<<chi2<< | |
5140 | "mean="<<(*param)[1]<< | |
5141 | "sigma="<<(*param)[2]<< | |
5142 | "constant="<<(*param)[0]<< | |
5143 | "\n"; | |
5144 | } | |
5145 | } | |
5146 | ||
5147 | if((chi2/(*param)[2]) > 0.1){ | |
7bce990c | 5148 | if(bError){ |
3a0f6479 | 5149 | chi2 = FitGausMI(arraye,arraym,arrayme,nBins,xMin,xMax,param,kFALSE); |
5150 | } | |
5151 | else return -4.0; | |
55a288e5 | 5152 | } |
3a0f6479 | 5153 | |
5154 | if(fDebugLevel == 1){ | |
5155 | TString name("PRF"); | |
5156 | name += (Int_t)xMin; | |
5157 | name += (Int_t)xMax; | |
5158 | TCanvas *c1 = new TCanvas((const char *)name,(const char *)name,50,50,600,800); | |
5159 | c1->cd(); | |
5160 | name += "histo"; | |
5161 | TH1F *histo = new TH1F((const char *)name,(const char *)name,nBins,xMin,xMax); | |
5162 | for(Int_t k = 0; k < nBins; k++){ | |
5163 | histo->SetBinContent(k+1,arraym[k]); | |
5164 | histo->SetBinError(k+1,arrayme[k]); | |
5165 | } | |
5166 | histo->Draw(); | |
5167 | name += "functionf"; | |
5168 | TF1 *f1= new TF1((const char*)name,"[0]*exp(-(x-[1])^2/(2*[2]*[2]))",xMin,xMax); | |
5169 | f1->SetParameter(0, (*param)[0]); | |
5170 | f1->SetParameter(1, (*param)[1]); | |
5171 | f1->SetParameter(2, (*param)[2]); | |
5172 | f1->Draw("same"); | |
5173 | } | |
5174 | ||
5175 | ||
5176 | return chi2; | |
5177 | ||
5178 | } | |
5179 | //_____________________________________________________________________________ | |
5180 | void AliTRDCalibraFit::FitPRF(TH1 *projPRF) | |
5181 | { | |
5182 | // | |
5183 | // Fit methode for the sigma of the pad response function | |
5184 | // | |
55a288e5 | 5185 | |
3a0f6479 | 5186 | fCurrentCoef[0] = 0.0; |
5187 | fCurrentCoefE = 0.0; | |
5188 | ||
5189 | if (fDebugLevel != 1) { | |
5190 | projPRF->Fit("gaus","0M","",-fRangeFitPRF,fRangeFitPRF); | |
5191 | } | |
5192 | else { | |
55a288e5 | 5193 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); |
5194 | cfit->cd(); | |
5195 | projPRF->Fit("gaus","M+","",-fRangeFitPRF,fRangeFitPRF); | |
5196 | projPRF->Draw(); | |
55a288e5 | 5197 | } |
3a0f6479 | 5198 | fCurrentCoef[0] = projPRF->GetFunction("gaus")->GetParameter(2); |
5199 | fCurrentCoefE = projPRF->GetFunction("gaus")->GetParError(2); | |
5200 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
55a288e5 | 5201 | else { |
3a0f6479 | 5202 | fNumberFitSuccess++; |
55a288e5 | 5203 | } |
3a0f6479 | 5204 | } |
5205 | //_____________________________________________________________________________ | |
5206 | void AliTRDCalibraFit::RmsPRF(TH1 *projPRF) | |
5207 | { | |
5208 | // | |
5209 | // Fit methode for the sigma of the pad response function | |
5210 | // | |
5211 | fCurrentCoef[0] = 0.0; | |
5212 | fCurrentCoefE = 0.0; | |
5213 | if (fDebugLevel == 1) { | |
5214 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); | |
5215 | cfit->cd(); | |
5216 | projPRF->Draw(); | |
55a288e5 | 5217 | } |
3a0f6479 | 5218 | fCurrentCoef[0] = projPRF->GetRMS(); |
5219 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
5220 | else { | |
5221 | fNumberFitSuccess++; | |
55a288e5 | 5222 | } |
55a288e5 | 5223 | } |
55a288e5 | 5224 | //_____________________________________________________________________________ |
3a0f6479 | 5225 | void AliTRDCalibraFit::FitTnpRange(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nbg, Int_t nybins) |
55a288e5 | 5226 | { |
5227 | // | |
3a0f6479 | 5228 | // Fit methode for the sigma of the pad response function with 2*nbg tan bins |
55a288e5 | 5229 | // |
5230 | ||
3a0f6479 | 5231 | TLinearFitter linearfitter = TLinearFitter(3,"pol2"); |
55a288e5 | 5232 | |
55a288e5 | 5233 | |
3a0f6479 | 5234 | Int_t nbins = (Int_t)(nybins/(2*nbg)); |
5235 | Float_t lowedge = -3.0*nbg; | |
5236 | Float_t upedge = lowedge + 3.0; | |
5237 | Int_t offset = 0; | |
5238 | Int_t npoints = 0; | |
5239 | Double_t xvalues = -0.2*nbg+0.1; | |
5240 | Double_t y = 0.0; | |
5241 | Int_t total = 2*nbg; | |
55a288e5 | 5242 | |
3a0f6479 | 5243 | |
5244 | for(Int_t k = 0; k < total; k++){ | |
5245 | if(FitPRFGausMI(arraye+offset, arraym+offset, arrayme+offset, nbins, lowedge, upedge)){ | |
5246 | npoints++; | |
5247 | y = fCurrentCoef[0]*fCurrentCoef[0]; | |
5248 | linearfitter.AddPoint(&xvalues,y,2*fCurrentCoefE*fCurrentCoef[0]); | |
5249 | } | |
5250 | ||
5251 | if(fDebugLevel > 1){ | |
5252 | ||
5253 | if ( !fDebugStreamer ) { | |
5254 | //debug stream | |
5255 | TDirectory *backup = gDirectory; | |
4aad967c | 5256 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5257 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5258 | } | |
5259 | ||
5260 | Int_t detector = fCountDet; | |
053767a4 | 5261 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5262 | Int_t nbtotal = total; |
5263 | Int_t group = k; | |
5264 | Float_t low = lowedge; | |
5265 | Float_t up = upedge; | |
5266 | Float_t tnp = xvalues; | |
5267 | Float_t wid = fCurrentCoef[0]; | |
5268 | Float_t widfE = fCurrentCoefE; | |
5269 | ||
413153cb | 5270 | (* fDebugStreamer) << "FitTnpRange0"<< |
3a0f6479 | 5271 | "detector="<<detector<< |
053767a4 | 5272 | "layer="<<layer<< |
3a0f6479 | 5273 | "nbtotal="<<nbtotal<< |
5274 | "group="<<group<< | |
5275 | "low="<<low<< | |
5276 | "up="<<up<< | |
5277 | "offset="<<offset<< | |
5278 | "tnp="<<tnp<< | |
5279 | "wid="<<wid<< | |
5280 | "widfE="<<widfE<< | |
5281 | "\n"; | |
5282 | } | |
5283 | ||
5284 | offset += nbins; | |
5285 | lowedge += 3.0; | |
5286 | upedge += 3.0; | |
5287 | xvalues += 0.2; | |
5288 | ||
5289 | } | |
5290 | ||
5291 | fCurrentCoefE = 0.0; | |
5292 | fCurrentCoef[0] = 0.0; | |
5293 | ||
5294 | //printf("npoints\n",npoints); | |
5295 | ||
5296 | if(npoints < 3){ | |
5297 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5298 | } | |
5299 | else{ | |
5300 | ||
5301 | TVectorD pars0; | |
5302 | linearfitter.Eval(); | |
5303 | linearfitter.GetParameters(pars0); | |
5304 | Double_t pointError0 = TMath::Sqrt(linearfitter.GetChisquare()/npoints); | |
5305 | Double_t errorsx0 = linearfitter.GetParError(2)*pointError0; | |
5306 | Double_t min0 = 0.0; | |
5307 | Double_t ermin0 = 0.0; | |
5308 | //Double_t prfe0 = 0.0; | |
5309 | Double_t prf0 = 0.0; | |
5310 | if((pars0[2] > 0.0) && (pars0[1] != 0.0)) { | |
5311 | min0 = -pars0[1]/(2*pars0[2]); | |
5312 | ermin0 = TMath::Abs(min0*(errorsx0/pars0[2]+linearfitter.GetParError(1)*pointError0/pars0[1])); | |
5313 | prf0 = pars0[0]+pars0[1]*min0+pars0[2]*min0*min0; | |
5314 | if(prf0 > 0.0) { | |
5315 | /* | |
5316 | prfe0 = linearfitter->GetParError(0)*pointError0 | |
5317 | +(linearfitter->GetParError(1)*pointError0/pars0[1]+ermin0/min0)*pars0[1]*min0 | |
5318 | +(linearfitter->GetParError(2)*pointError0/pars0[2]+2*ermin0/min0)*pars0[2]*min0*min0; | |
5319 | prfe0 = prfe0/(2*TMath::Sqrt(prf0)); | |
5320 | fCurrentCoefE = (Float_t) prfe0; | |
5321 | */ | |
5322 | fCurrentCoef[0] = (Float_t) TMath::Sqrt(TMath::Abs(prf0)); | |
5323 | } | |
5324 | else{ | |
5325 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5326 | } | |
5327 | } | |
5328 | else { | |
5329 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5330 | } | |
55a288e5 | 5331 | |
3a0f6479 | 5332 | if(fDebugLevel > 1){ |
5333 | ||
5334 | if ( !fDebugStreamer ) { | |
5335 | //debug stream | |
5336 | TDirectory *backup = gDirectory; | |
4aad967c | 5337 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5338 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5339 | } | |
5340 | ||
5341 | Int_t detector = fCountDet; | |
053767a4 | 5342 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5343 | Int_t nbtotal = total; |
5344 | Double_t colsize[6] = {0.635,0.665,0.695,0.725,0.755,0.785}; | |
053767a4 | 5345 | Double_t sigmax = TMath::Sqrt(TMath::Abs(pars0[2]))*10000*colsize[layer]; |
3a0f6479 | 5346 | |
413153cb | 5347 | (* fDebugStreamer) << "FitTnpRange1"<< |
3a0f6479 | 5348 | "detector="<<detector<< |
053767a4 | 5349 | "layer="<<layer<< |
3a0f6479 | 5350 | "nbtotal="<<nbtotal<< |
5351 | "par0="<<pars0[0]<< | |
5352 | "par1="<<pars0[1]<< | |
5353 | "par2="<<pars0[2]<< | |
5354 | "npoints="<<npoints<< | |
5355 | "sigmax="<<sigmax<< | |
5356 | "tan="<<min0<< | |
5357 | "sigmaprf="<<fCurrentCoef[0]<< | |
5358 | "sigprf="<<fCurrentCoef[1]<< | |
5359 | "\n"; | |
5360 | } | |
5361 | ||
55a288e5 | 5362 | } |
5363 | ||
5364 | } | |
55a288e5 | 5365 | //_____________________________________________________________________________ |
3a0f6479 | 5366 | void AliTRDCalibraFit::FitMean(TH1 *projch, Double_t nentries, Double_t mean) |
55a288e5 | 5367 | { |
5368 | // | |
5369 | // Only mean methode for the gain factor | |
5370 | // | |
5371 | ||
3a0f6479 | 5372 | fCurrentCoef[0] = mean; |
5373 | fCurrentCoefE = 0.0; | |
5374 | if(nentries > 0) fCurrentCoefE = projch->GetRMS()/TMath::Sqrt(nentries); | |
5375 | if (fDebugLevel == 1) { | |
55a288e5 | 5376 | TCanvas *cpmean = new TCanvas("cpmean","cpmean",50,50,600,800); |
5377 | cpmean->cd(); | |
5378 | projch->Draw(); | |
5379 | } | |
3a0f6479 | 5380 | CalculChargeCoefMean(kTRUE); |
5381 | fNumberFitSuccess++; | |
55a288e5 | 5382 | } |
55a288e5 | 5383 | //_____________________________________________________________________________ |
3a0f6479 | 5384 | void AliTRDCalibraFit::FitMeanW(TH1 *projch, Double_t nentries) |
55a288e5 | 5385 | { |
5386 | // | |
5387 | // mean w methode for the gain factor | |
5388 | // | |
5389 | ||
5390 | //Number of bins | |
5391 | Int_t nybins = projch->GetNbinsX(); | |
5392 | ||
5393 | //The weight function | |
5394 | Double_t a = 0.00228515; | |
5395 | Double_t b = -0.00231487; | |
5396 | Double_t c = 0.00044298; | |
5397 | Double_t d = -0.00379239; | |
5398 | Double_t e = 0.00338349; | |
5399 | ||
3a0f6479 | 5400 | // 0 |0.00228515 |
5401 | // 1 |-0.00231487 | |
5402 | // 2 |0.00044298 | |
5403 | // 3 |-0.00379239 | |
5404 | // 4 |0.00338349 | |
5405 | ||
5406 | ||
55a288e5 | 5407 | |
5408 | //A arbitrary error for the moment | |
3a0f6479 | 5409 | fCurrentCoefE = 0.0; |
5410 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 5411 | |
5412 | //Calcul | |
5413 | Double_t sumw = 0.0; | |
5414 | Double_t sum = 0.0; | |
3a0f6479 | 5415 | Float_t sumAll = (Float_t) nentries; |
55a288e5 | 5416 | Int_t sumCurrent = 0; |
5417 | for(Int_t k = 0; k <nybins; k++){ | |
5418 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
5419 | if (fraction>0.95) break; | |
5420 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
5421 | e*fraction*fraction*fraction*fraction; | |
5422 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
5423 | sum += weight*projch->GetBinContent(k+1); | |
5424 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
5425 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
5426 | } | |
3a0f6479 | 5427 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 5428 | |
3a0f6479 | 5429 | if (fDebugLevel == 1) { |
55a288e5 | 5430 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); |
5431 | cpmeanw->cd(); | |
5432 | projch->Draw(); | |
5433 | } | |
3a0f6479 | 5434 | fNumberFitSuccess++; |
5435 | CalculChargeCoefMean(kTRUE); | |
5436 | } | |
5437 | //_____________________________________________________________________________ | |
5438 | void AliTRDCalibraFit::FitMeanWSm(TH1 *projch, Float_t sumAll) | |
5439 | { | |
5440 | // | |
5441 | // mean w methode for the gain factor | |
5442 | // | |
5443 | ||
5444 | //Number of bins | |
5445 | Int_t nybins = projch->GetNbinsX(); | |
5446 | ||
5447 | //The weight function | |
5448 | Double_t a = 0.00228515; | |
5449 | Double_t b = -0.00231487; | |
5450 | Double_t c = 0.00044298; | |
5451 | Double_t d = -0.00379239; | |
5452 | Double_t e = 0.00338349; | |
5453 | ||
5454 | // 0 |0.00228515 | |
5455 | // 1 |-0.00231487 | |
5456 | // 2 |0.00044298 | |
5457 | // 3 |-0.00379239 | |
5458 | // 4 |0.00338349 | |
5459 | ||
5460 | ||
5461 | ||
5462 | //A arbitrary error for the moment | |
5463 | fCurrentCoefE = 0.0; | |
5464 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 5465 | |
3a0f6479 | 5466 | //Calcul |
5467 | Double_t sumw = 0.0; | |
5468 | Double_t sum = 0.0; | |
5469 | Int_t sumCurrent = 0; | |
5470 | for(Int_t k = 0; k <nybins; k++){ | |
5471 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
5472 | if (fraction>0.95) break; | |
5473 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
5474 | e*fraction*fraction*fraction*fraction; | |
5475 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
5476 | sum += weight*projch->GetBinContent(k+1); | |
5477 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
5478 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
55a288e5 | 5479 | } |
3a0f6479 | 5480 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 5481 | |
3a0f6479 | 5482 | if (fDebugLevel == 1) { |
5483 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); | |
5484 | cpmeanw->cd(); | |
5485 | projch->Draw(); | |
5486 | } | |
5487 | fNumberFitSuccess++; | |
55a288e5 | 5488 | } |
55a288e5 | 5489 | //_____________________________________________________________________________ |
3a0f6479 | 5490 | void AliTRDCalibraFit::FitCH(TH1 *projch, Double_t mean) |
55a288e5 | 5491 | { |
5492 | // | |
5493 | // Fit methode for the gain factor | |
5494 | // | |
5495 | ||
3a0f6479 | 5496 | fCurrentCoef[0] = 0.0; |
5497 | fCurrentCoefE = 0.0; | |
55a288e5 | 5498 | Double_t chisqrl = 0.0; |
5499 | Double_t chisqrg = 0.0; | |
3a0f6479 | 5500 | Double_t chisqr = 0.0; |
55a288e5 | 5501 | TF1 *fLandauGaus = new TF1("fLandauGaus",FuncLandauGaus,0,300,5); |
5502 | ||
5503 | projch->Fit("landau","0","" | |
3a0f6479 | 5504 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5505 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5506 | Double_t l3P0 = projch->GetFunction("landau")->GetParameter(0); | |
5507 | Double_t l3P1 = projch->GetFunction("landau")->GetParameter(1); | |
5508 | Double_t l3P2 = projch->GetFunction("landau")->GetParameter(2); | |
5509 | chisqrl = projch->GetFunction("landau")->GetChisquare(); | |
5510 | ||
5511 | projch->Fit("gaus","0","" | |
3a0f6479 | 5512 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5513 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5514 | Double_t g3P0 = projch->GetFunction("gaus")->GetParameter(0); | |
5515 | Double_t g3P2 = projch->GetFunction("gaus")->GetParameter(2); | |
5516 | chisqrg = projch->GetFunction("gaus")->GetChisquare(); | |
5517 | ||
5518 | fLandauGaus->SetParameters(l3P0,l3P1,l3P2,g3P0,g3P2); | |
3a0f6479 | 5519 | if (fDebugLevel != 1) { |
55a288e5 | 5520 | projch->Fit("fLandauGaus","0","" |
3a0f6479 | 5521 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5522 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5523 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
3a0f6479 | 5524 | } |
5525 | else { | |
55a288e5 | 5526 | TCanvas *cp = new TCanvas("cp","cp",50,50,600,800); |
5527 | cp->cd(); | |
5528 | projch->Fit("fLandauGaus","+","" | |
3a0f6479 | 5529 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5530 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5531 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
5532 | projch->Draw(); | |
5533 | fLandauGaus->Draw("same"); | |
5534 | } | |
5535 | ||
3a0f6479 | 5536 | if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (projch->GetFunction("fLandauGaus")->GetParError(1) < (0.05*projch->GetFunction("fLandauGaus")->GetParameter(1))) && (chisqr < chisqrl) && (chisqr < chisqrg)) { |
5537 | //if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (chisqr < chisqrl) && (chisqr < chisqrg)) { | |
5538 | fNumberFitSuccess++; | |
5539 | CalculChargeCoefMean(kTRUE); | |
5540 | fCurrentCoef[0] = projch->GetFunction("fLandauGaus")->GetParameter(1); | |
5541 | fCurrentCoefE = projch->GetFunction("fLandauGaus")->GetParError(1); | |
55a288e5 | 5542 | } |
5543 | else { | |
3a0f6479 | 5544 | CalculChargeCoefMean(kFALSE); |
5545 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 5546 | } |
5547 | ||
3a0f6479 | 5548 | if (fDebugLevel != 1) { |
55a288e5 | 5549 | delete fLandauGaus; |
5550 | } | |
5551 | ||
5552 | } | |
55a288e5 | 5553 | //_____________________________________________________________________________ |
3a0f6479 | 5554 | void AliTRDCalibraFit::FitBisCH(TH1* projch, Double_t mean) |
55a288e5 | 5555 | { |
5556 | // | |
5557 | // Fit methode for the gain factor more time consuming | |
5558 | // | |
5559 | ||
3a0f6479 | 5560 | |
55a288e5 | 5561 | //Some parameters to initialise |
e6381f8e | 5562 | Double_t widthLandau, widthGaus, mPV, integral; |
55a288e5 | 5563 | Double_t chisquarel = 0.0; |
5564 | Double_t chisquareg = 0.0; | |
55a288e5 | 5565 | projch->Fit("landau","0M+","" |
3a0f6479 | 5566 | ,(Double_t) mean/6 |
55a288e5 | 5567 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5568 | widthLandau = projch->GetFunction("landau")->GetParameter(2); | |
5569 | chisquarel = projch->GetFunction("landau")->GetChisquare(); | |
55a288e5 | 5570 | projch->Fit("gaus","0M+","" |
3a0f6479 | 5571 | ,(Double_t) mean/6 |
55a288e5 | 5572 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5573 | widthGaus = projch->GetFunction("gaus")->GetParameter(2); | |
5574 | chisquareg = projch->GetFunction("gaus")->GetChisquare(); | |
3a0f6479 | 5575 | |
e6381f8e | 5576 | mPV = (projch->GetFunction("landau")->GetParameter(1))/2; |
5577 | integral = (projch->GetFunction("gaus")->Integral(0.3*mean,3*mean)+projch->GetFunction("landau")->Integral(0.3*mean,3*mean))/2; | |
3a0f6479 | 5578 | |
55a288e5 | 5579 | // Setting fit range and start values |
5580 | Double_t fr[2]; | |
5581 | //Double_t sv[4] = { l3P2, fChargeCoef[1], projch->Integral("width"), fG3P2 }; | |
5582 | //Double_t sv[4] = { fL3P2, fChargeCoef[1], fL3P0, fG3P2 }; | |
e6381f8e | 5583 | Double_t sv[4] = { widthLandau, mPV, integral, widthGaus}; |
55a288e5 | 5584 | Double_t pllo[4] = { 0.001, 0.001, projch->Integral()/3, 0.001}; |
5585 | Double_t plhi[4] = { 300.0, 300.0, 30*projch->Integral(), 300.0}; | |
5586 | Double_t fp[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
5587 | Double_t fpe[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
3a0f6479 | 5588 | fr[0] = 0.3 * mean; |
5589 | fr[1] = 3.0 * mean; | |
5590 | fCurrentCoef[0] = 0.0; | |
5591 | fCurrentCoefE = 0.0; | |
55a288e5 | 5592 | |
5593 | Double_t chisqr; | |
5594 | Int_t ndf; | |
5595 | TF1 *fitsnr = LanGauFit(projch,&fr[0],&sv[0] | |
5596 | ,&pllo[0],&plhi[0] | |
5597 | ,&fp[0],&fpe[0] | |
5598 | ,&chisqr,&ndf); | |
5599 | ||
5600 | Double_t projchPeak; | |
5601 | Double_t projchFWHM; | |
5602 | LanGauPro(fp,projchPeak,projchFWHM); | |
5603 | ||
5604 | if ((fp[1] > 0) && ((fpe[1] < (0.05*fp[1])) && (chisqr < chisquarel) && (chisqr < chisquareg))) { | |
5605 | //if ((fp[1] > 0) && ((chisqr < chisquarel) && (chisqr < chisquareg))) { | |
3a0f6479 | 5606 | fNumberFitSuccess++; |
5607 | CalculChargeCoefMean(kTRUE); | |
5608 | fCurrentCoef[0] = fp[1]; | |
5609 | fCurrentCoefE = fpe[1]; | |
55a288e5 | 5610 | //chargeCoefE2 = chisqr; |
5611 | } | |
5612 | else { | |
3a0f6479 | 5613 | CalculChargeCoefMean(kFALSE); |
5614 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 5615 | } |
3a0f6479 | 5616 | if (fDebugLevel == 1) { |
5617 | AliInfo(Form("fChargeCoef[0]: %f",(Float_t) fCurrentCoef[0])); | |
55a288e5 | 5618 | TCanvas *cpy = new TCanvas("cpy","cpy",50,50,600,800); |
5619 | cpy->cd(); | |
5620 | projch->Draw(); | |
5621 | fitsnr->Draw("same"); | |
5622 | } | |
3a0f6479 | 5623 | else { |
55a288e5 | 5624 | delete fitsnr; |
5625 | } | |
3a0f6479 | 5626 | } |
55a288e5 | 5627 | //_____________________________________________________________________________ |
979b168f | 5628 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange2(const Double_t *x, const Double_t *y) const |
55a288e5 | 5629 | { |
5630 | // | |
5631 | // Calcul the coefficients of the polynome passant par ces trois points de degre 2 | |
5632 | // | |
3a0f6479 | 5633 | Double_t *c = new Double_t[5]; |
55a288e5 | 5634 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])); |
5635 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])); | |
5636 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])); | |
5637 | ||
5638 | c[4] = 0.0; | |
5639 | c[3] = 0.0; | |
5640 | c[2] = x0+x1+x2; | |
5641 | c[1] = -(x0*(x[1]+x[2])+x1*(x[0]+x[2])+x2*(x[0]+x[1])); | |
5642 | c[0] = x0*x[1]*x[2]+x1*x[0]*x[2]+x2*x[0]*x[1]; | |
5643 | ||
5644 | return c; | |
5645 | ||
3a0f6479 | 5646 | |
55a288e5 | 5647 | } |
5648 | ||
5649 | //_____________________________________________________________________________ | |
979b168f | 5650 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange3(const Double_t *x, const Double_t *y) const |
55a288e5 | 5651 | { |
5652 | // | |
5653 | // Calcul the coefficients of the polynome passant par ces quatre points de degre 3 | |
5654 | // | |
55a288e5 | 5655 | Double_t *c = new Double_t[5]; |
5656 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])); | |
5657 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])); | |
5658 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])); | |
5659 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])); | |
5660 | ||
5661 | c[4] = 0.0; | |
5662 | c[3] = x0+x1+x2+x3; | |
5663 | c[2] = -(x0*(x[1]+x[2]+x[3]) | |
5664 | +x1*(x[0]+x[2]+x[3]) | |
5665 | +x2*(x[0]+x[1]+x[3]) | |
5666 | +x3*(x[0]+x[1]+x[2])); | |
5667 | c[1] = (x0*(x[1]*x[2]+x[1]*x[3]+x[2]*x[3]) | |
5668 | +x1*(x[0]*x[2]+x[0]*x[3]+x[2]*x[3]) | |
5669 | +x2*(x[0]*x[1]+x[0]*x[3]+x[1]*x[3]) | |
5670 | +x3*(x[0]*x[1]+x[0]*x[2]+x[1]*x[2])); | |
5671 | ||
5672 | c[0] = -(x0*x[1]*x[2]*x[3] | |
5673 | +x1*x[0]*x[2]*x[3] | |
5674 | +x2*x[0]*x[1]*x[3] | |
5675 | +x3*x[0]*x[1]*x[2]); | |
5676 | ||
3a0f6479 | 5677 | |
55a288e5 | 5678 | return c; |
3a0f6479 | 5679 | |
55a288e5 | 5680 | |
5681 | } | |
5682 | ||
5683 | //_____________________________________________________________________________ | |
979b168f | 5684 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange4(const Double_t *x, const Double_t *y) const |
55a288e5 | 5685 | { |
5686 | // | |
5687 | // Calcul the coefficients of the polynome passant par ces cinqs points de degre 4 | |
5688 | // | |
55a288e5 | 5689 | Double_t *c = new Double_t[5]; |
5690 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])*(x[0]-x[4])); | |
5691 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])*(x[1]-x[4])); | |
5692 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])*(x[2]-x[4])); | |
5693 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])*(x[3]-x[4])); | |
5694 | Double_t x4 = y[4]/((x[4]-x[0])*(x[4]-x[1])*(x[4]-x[2])*(x[4]-x[3])); | |
3a0f6479 | 5695 | |
55a288e5 | 5696 | |
5697 | c[4] = x0+x1+x2+x3+x4; | |
5698 | c[3] = -(x0*(x[1]+x[2]+x[3]+x[4]) | |
5699 | +x1*(x[0]+x[2]+x[3]+x[4]) | |
5700 | +x2*(x[0]+x[1]+x[3]+x[4]) | |
5701 | +x3*(x[0]+x[1]+x[2]+x[4]) | |
5702 | +x4*(x[0]+x[1]+x[2]+x[3])); | |
5703 | c[2] = (x0*(x[1]*x[2]+x[1]*x[3]+x[1]*x[4]+x[2]*x[3]+x[2]*x[4]+x[3]*x[4]) | |
5704 | +x1*(x[0]*x[2]+x[0]*x[3]+x[0]*x[4]+x[2]*x[3]+x[2]*x[4]+x[3]*x[4]) | |
5705 | +x2*(x[0]*x[1]+x[0]*x[3]+x[0]*x[4]+x[1]*x[3]+x[1]*x[4]+x[3]*x[4]) | |
5706 | +x3*(x[0]*x[1]+x[0]*x[2]+x[0]*x[4]+x[1]*x[2]+x[1]*x[4]+x[2]*x[4]) | |
5707 | +x4*(x[0]*x[1]+x[0]*x[2]+x[0]*x[3]+x[1]*x[2]+x[1]*x[3]+x[2]*x[3])); | |
5708 | ||
5709 | c[1] = -(x0*(x[1]*x[2]*x[3]+x[1]*x[2]*x[4]+x[1]*x[3]*x[4]+x[2]*x[3]*x[4]) | |
5710 | +x1*(x[0]*x[2]*x[3]+x[0]*x[2]*x[4]+x[0]*x[3]*x[4]+x[2]*x[3]*x[4]) | |
5711 | +x2*(x[0]*x[1]*x[3]+x[0]*x[1]*x[4]+x[0]*x[3]*x[4]+x[1]*x[3]*x[4]) | |
5712 | +x3*(x[0]*x[1]*x[2]+x[0]*x[1]*x[4]+x[0]*x[2]*x[4]+x[1]*x[2]*x[4]) | |
5713 | +x4*(x[0]*x[1]*x[2]+x[0]*x[1]*x[3]+x[0]*x[2]*x[3]+x[1]*x[2]*x[3])); | |
5714 | ||
5715 | c[0] = (x0*x[1]*x[2]*x[3]*x[4] | |
5716 | +x1*x[0]*x[2]*x[3]*x[4] | |
5717 | +x2*x[0]*x[1]*x[3]*x[4] | |
5718 | +x3*x[0]*x[1]*x[2]*x[4] | |
5719 | +x4*x[0]*x[1]*x[2]*x[3]); | |
5720 | ||
5721 | return c; | |
3a0f6479 | 5722 | |
55a288e5 | 5723 | |
5724 | } | |
55a288e5 | 5725 | //_____________________________________________________________________________ |
5726 | void AliTRDCalibraFit::NormierungCharge() | |
5727 | { | |
5728 | // | |
5729 | // Normalisation of the gain factor resulting for the fits | |
5730 | // | |
5731 | ||
5732 | // Calcul of the mean of choosen method by fFitChargeNDB | |
5733 | Double_t sum = 0.0; | |
5734 | //printf("total number of entries %d\n",fVectorFitCH->GetEntriesFast()); | |
3a0f6479 | 5735 | for (Int_t k = 0; k < (Int_t) fVectorFit.GetEntriesFast(); k++) { |
55a288e5 | 5736 | Int_t total = 0; |
3a0f6479 | 5737 | Int_t detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); |
5738 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
55a288e5 | 5739 | //printf("detector %d coef[0] %f\n",detector,coef[0]); |
053767a4 | 5740 | if (GetStack(detector) == 2) { |
55a288e5 | 5741 | total = 1728; |
5742 | } | |
053767a4 | 5743 | if (GetStack(detector) != 2) { |
55a288e5 | 5744 | total = 2304; |
5745 | } | |
5746 | for (Int_t j = 0; j < total; j++) { | |
5747 | if (coef[j] >= 0) { | |
5748 | sum += coef[j]; | |
5749 | } | |
5750 | } | |
5751 | } | |
5752 | ||
5753 | if (sum > 0) { | |
5754 | fScaleFitFactor = fScaleFitFactor / sum; | |
5755 | } | |
5756 | else { | |
5757 | fScaleFitFactor = 1.0; | |
3a0f6479 | 5758 | } |
55a288e5 | 5759 | |
3a0f6479 | 5760 | //methode de boeuf mais bon... |
5761 | Double_t scalefactor = fScaleFitFactor; | |
55a288e5 | 5762 | |
3a0f6479 | 5763 | if(fDebugLevel > 1){ |
5764 | ||
5765 | if ( !fDebugStreamer ) { | |
5766 | //debug stream | |
5767 | TDirectory *backup = gDirectory; | |
4aad967c | 5768 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); |
3a0f6479 | 5769 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5770 | } | |
413153cb | 5771 | (* fDebugStreamer) << "NormierungCharge"<< |
3a0f6479 | 5772 | "scalefactor="<<scalefactor<< |
5773 | "\n"; | |
5774 | } | |
55a288e5 | 5775 | } |
55a288e5 | 5776 | //_____________________________________________________________________________ |
979b168f | 5777 | TH1I *AliTRDCalibraFit::ReBin(const TH1I *hist) const |
55a288e5 | 5778 | { |
5779 | // | |
5780 | // Rebin of the 1D histo for the gain calibration if needed. | |
5781 | // you have to choose fRebin, divider of fNumberBinCharge | |
5782 | // | |
5783 | ||
3a0f6479 | 5784 | TAxis *xhist = hist->GetXaxis(); |
5785 | TH1I *rehist = new TH1I("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
5786 | ,xhist->GetBinLowEdge(1) | |
5787 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
55a288e5 | 5788 | |
3a0f6479 | 5789 | AliInfo(Form("fRebin: %d",fRebin)); |
5790 | Int_t i = 1; | |
5791 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
5792 | Double_t sum = 0.0; | |
5793 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
5794 | sum += hist->GetBinContent(ji); | |
5795 | } | |
5796 | sum = sum / fRebin; | |
5797 | rehist->SetBinContent(k,sum); | |
5798 | i += fRebin; | |
5799 | } | |
55a288e5 | 5800 | |
3a0f6479 | 5801 | return rehist; |
55a288e5 | 5802 | |
5803 | } | |
5804 | ||
5805 | //_____________________________________________________________________________ | |
979b168f | 5806 | TH1F *AliTRDCalibraFit::ReBin(const TH1F *hist) const |
55a288e5 | 5807 | { |
5808 | // | |
5809 | // Rebin of the 1D histo for the gain calibration if needed | |
5810 | // you have to choose fRebin divider of fNumberBinCharge | |
5811 | // | |
5812 | ||
5813 | TAxis *xhist = hist->GetXaxis(); | |
5814 | TH1F *rehist = new TH1F("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
5815 | ,xhist->GetBinLowEdge(1) | |
5816 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
5817 | ||
5818 | AliInfo(Form("fRebin: %d",fRebin)); | |
5819 | Int_t i = 1; | |
5820 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
5821 | Double_t sum = 0.0; | |
5822 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
5823 | sum += hist->GetBinContent(ji); | |
5824 | } | |
5825 | sum = sum/fRebin; | |
5826 | rehist->SetBinContent(k,sum); | |
5827 | i += fRebin; | |
5828 | } | |
5829 | ||
55a288e5 | 5830 | return rehist; |
5831 | ||
55a288e5 | 5832 | } |
55a288e5 | 5833 | // |
5834 | //____________Some basic geometry function_____________________________________ | |
5835 | // | |
5836 | ||
5837 | //_____________________________________________________________________________ | |
053767a4 | 5838 | Int_t AliTRDCalibraFit::GetLayer(Int_t d) const |
55a288e5 | 5839 | { |
5840 | // | |
5841 | // Reconstruct the plane number from the detector number | |
5842 | // | |
5843 | ||
5844 | return ((Int_t) (d % 6)); | |
5845 | ||
5846 | } | |
5847 | ||
5848 | //_____________________________________________________________________________ | |
053767a4 | 5849 | Int_t AliTRDCalibraFit::GetStack(Int_t d) const |
55a288e5 | 5850 | { |
5851 | // | |
053767a4 | 5852 | // Reconstruct the stack number from the detector number |
55a288e5 | 5853 | // |
053767a4 | 5854 | const Int_t kNlayer = 6; |
55a288e5 | 5855 | |
053767a4 | 5856 | return ((Int_t) (d % 30) / kNlayer); |
55a288e5 | 5857 | |
5858 | } | |
5859 | ||
5860 | //_____________________________________________________________________________ | |
5861 | Int_t AliTRDCalibraFit::GetSector(Int_t d) const | |
5862 | { | |
5863 | // | |
5864 | // Reconstruct the sector number from the detector number | |
5865 | // | |
5866 | Int_t fg = 30; | |
5867 | ||
5868 | return ((Int_t) (d / fg)); | |
5869 | ||
5870 | } | |
5871 | ||
5872 | // | |
5873 | //____________Fill and Init tree Gain, PRF, Vdrift and T0______________________ | |
5874 | // | |
3a0f6479 | 5875 | //_______________________________________________________________________________ |
5876 | void AliTRDCalibraFit::ResetVectorFit() | |
55a288e5 | 5877 | { |
e6381f8e | 5878 | // |
5879 | // Reset the VectorFits | |
5880 | // | |
5881 | ||
3a0f6479 | 5882 | fVectorFit.SetOwner(); |
5883 | fVectorFit.Clear(); | |
5884 | fVectorFit2.SetOwner(); | |
5885 | fVectorFit2.Clear(); | |
55a288e5 | 5886 | |
55a288e5 | 5887 | } |
55a288e5 | 5888 | // |
5889 | //____________Private Functions________________________________________________ | |
5890 | // | |
5891 | ||
5892 | //_____________________________________________________________________________ | |
979b168f | 5893 | Double_t AliTRDCalibraFit::PH(const Double_t *x, const Double_t *par) |
55a288e5 | 5894 | { |
5895 | // | |
5896 | // Function for the fit | |
5897 | // | |
5898 | ||
5899 | //TF1 *fAsymmGauss = new TF1("fAsymmGauss",AsymmGauss,0,4,6); | |
5900 | ||
5901 | //PARAMETERS FOR FIT PH | |
5902 | // PASAv.4 | |
5903 | //fAsymmGauss->SetParameter(0,0.113755); | |
5904 | //fAsymmGauss->SetParameter(1,0.350706); | |
5905 | //fAsymmGauss->SetParameter(2,0.0604244); | |
5906 | //fAsymmGauss->SetParameter(3,7.65596); | |
5907 | //fAsymmGauss->SetParameter(4,1.00124); | |
5908 | //fAsymmGauss->SetParameter(5,0.870597); // No tail cancelation | |
5909 | ||
5910 | Double_t xx = x[0]; | |
5911 | ||
5912 | if (xx < par[1]) { | |
5913 | return par[5]; | |
5914 | } | |
5915 | ||
5916 | Double_t dx = 0.005; | |
5917 | Double_t xs = par[1]; | |
5918 | Double_t ss = 0.0; | |
5919 | Double_t paras[2] = { 0.0, 0.0 }; | |
5920 | ||
5921 | while (xs < xx) { | |
5922 | if ((xs >= par[1]) && | |
5923 | (xs < (par[1]+par[2]))) { | |
5924 | //fAsymmGauss->SetParameter(0,par[0]); | |
5925 | //fAsymmGauss->SetParameter(1,xs); | |
5926 | //ss += fAsymmGauss->Eval(xx); | |
5927 | paras[0] = par[0]; | |
5928 | paras[1] = xs; | |
5929 | ss += AsymmGauss(&xx,paras); | |
5930 | } | |
5931 | if ((xs >= (par[1]+par[2])) && | |
5932 | (xs < (par[1]+par[2]+par[3]))) { | |
5933 | //fAsymmGauss->SetParameter(0,par[0]*par[4]); | |
5934 | //fAsymmGauss->SetParameter(1,xs); | |
5935 | //ss += fAsymmGauss->Eval(xx); | |
5936 | paras[0] = par[0]*par[4]; | |
5937 | paras[1] = xs; | |
5938 | ss += AsymmGauss(&xx,paras); | |
5939 | } | |
5940 | xs += dx; | |
5941 | } | |
5942 | ||
5943 | return ss + par[5]; | |
5944 | ||
5945 | } | |
5946 | ||
5947 | //_____________________________________________________________________________ | |
979b168f | 5948 | Double_t AliTRDCalibraFit::AsymmGauss(const Double_t *x, const Double_t *par) |
55a288e5 | 5949 | { |
5950 | // | |
5951 | // Function for the fit | |
5952 | // | |
5953 | ||
5954 | //par[0] = normalization | |
5955 | //par[1] = mean | |
5956 | //par[2] = sigma | |
5957 | //norm0 = 1 | |
5958 | //par[3] = lambda0 | |
5959 | //par[4] = norm1 | |
5960 | //par[5] = lambda1 | |
5961 | ||
5962 | Double_t par1save = par[1]; | |
5963 | //Double_t par2save = par[2]; | |
5964 | Double_t par2save = 0.0604244; | |
5965 | //Double_t par3save = par[3]; | |
5966 | Double_t par3save = 7.65596; | |
5967 | //Double_t par5save = par[5]; | |
5968 | Double_t par5save = 0.870597; | |
5969 | Double_t dx = x[0] - par1save; | |
5970 | ||
5971 | Double_t sigma2 = par2save*par2save; | |
5972 | Double_t sqrt2 = TMath::Sqrt(2.0); | |
5973 | Double_t exp1 = par3save * TMath::Exp(-par3save * (dx - 0.5 * par3save * sigma2)) | |
bb7e41dd | 5974 | * (1.0 - AliMathBase::ErfFast((par3save * sigma2 - dx) / (sqrt2 * par2save))); |
55a288e5 | 5975 | Double_t exp2 = par5save * TMath::Exp(-par5save * (dx - 0.5 * par5save * sigma2)) |
bb7e41dd | 5976 | * (1.0 - AliMathBase::ErfFast((par5save * sigma2 - dx) / (sqrt2 * par2save))); |
55a288e5 | 5977 | |
5978 | //return par[0]*(exp1+par[4]*exp2); | |
5979 | return par[0] * (exp1 + 1.00124 * exp2); | |
5980 | ||
5981 | } | |
5982 | ||
5983 | //_____________________________________________________________________________ | |
979b168f | 5984 | Double_t AliTRDCalibraFit::FuncLandauGaus(const Double_t *x, const Double_t *par) |
55a288e5 | 5985 | { |
5986 | // | |
5987 | // Sum Landau + Gaus with identical mean | |
5988 | // | |
5989 | ||
5990 | Double_t valLandau = par[0] * TMath::Landau(x[0],par[1],par[2]); | |
5991 | //Double_t valGaus = par[3] * TMath::Gaus(x[0],par[4],par[5]); | |
5992 | Double_t valGaus = par[3] * TMath::Gaus(x[0],par[1],par[4]); | |
5993 | Double_t val = valLandau + valGaus; | |
5994 | ||
5995 | return val; | |
5996 | ||
5997 | } | |
5998 | ||
5999 | //_____________________________________________________________________________ | |
979b168f | 6000 | Double_t AliTRDCalibraFit::LanGauFun(const Double_t *x, const Double_t *par) |
55a288e5 | 6001 | { |
6002 | // | |
6003 | // Function for the fit | |
6004 | // | |
6005 | // Fit parameters: | |
6006 | // par[0]=Width (scale) parameter of Landau density | |
6007 | // par[1]=Most Probable (MP, location) parameter of Landau density | |
6008 | // par[2]=Total area (integral -inf to inf, normalization constant) | |
6009 | // par[3]=Width (sigma) of convoluted Gaussian function | |
6010 | // | |
6011 | // In the Landau distribution (represented by the CERNLIB approximation), | |
6012 | // the maximum is located at x=-0.22278298 with the location parameter=0. | |
6013 | // This shift is corrected within this function, so that the actual | |
6014 | // maximum is identical to the MP parameter. | |
6015 | // | |
6016 | ||
6017 | // Numeric constants | |
6018 | Double_t invsq2pi = 0.3989422804014; // (2 pi)^(-1/2) | |
6019 | Double_t mpshift = -0.22278298; // Landau maximum location | |
6020 | ||
6021 | // Control constants | |
6022 | Double_t np = 100.0; // Number of convolution steps | |
6023 | Double_t sc = 5.0; // Convolution extends to +-sc Gaussian sigmas | |
6024 | ||
6025 | // Variables | |
6026 | Double_t xx; | |
6027 | Double_t mpc; | |
6028 | Double_t fland; | |
6029 | Double_t sum = 0.0; | |
6030 | Double_t xlow; | |
6031 | Double_t xupp; | |
6032 | Double_t step; | |
6033 | Double_t i; | |
6034 | ||
6035 | // MP shift correction | |
6036 | mpc = par[1] - mpshift * par[0]; | |
6037 | ||
6038 | // Range of convolution integral | |
6039 | xlow = x[0] - sc * par[3]; | |
6040 | xupp = x[0] + sc * par[3]; | |
6041 | ||
6042 | step = (xupp - xlow) / np; | |
6043 | ||
6044 | // Convolution integral of Landau and Gaussian by sum | |
6045 | for (i = 1.0; i <= np/2; i++) { | |
6046 | ||
6047 | xx = xlow + (i-.5) * step; | |
6048 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
6049 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
6050 | ||
6051 | xx = xupp - (i-.5) * step; | |
6052 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
6053 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
6054 | ||
6055 | } | |
6056 | ||
6057 | return (par[2] * step * sum * invsq2pi / par[3]); | |
6058 | ||
6059 | } | |
55a288e5 | 6060 | //_____________________________________________________________________________ |
979b168f | 6061 | TF1 *AliTRDCalibraFit::LanGauFit(TH1 *his, const Double_t *fitrange, const Double_t *startvalues |
6062 | , const Double_t *parlimitslo, const Double_t *parlimitshi | |
55a288e5 | 6063 | , Double_t *fitparams, Double_t *fiterrors |
e6381f8e | 6064 | , Double_t *chiSqr, Int_t *ndf) const |
55a288e5 | 6065 | { |
6066 | // | |
6067 | // Function for the fit | |
6068 | // | |
6069 | ||
6070 | Int_t i; | |
6071 | Char_t funname[100]; | |
6072 | ||
6073 | TF1 *ffitold = (TF1 *) gROOT->GetListOfFunctions()->FindObject(funname); | |
6074 | if (ffitold) { | |
6075 | delete ffitold; | |
6076 | } | |
6077 | ||
6078 | TF1 *ffit = new TF1(funname,LanGauFun,fitrange[0],fitrange[1],4); | |
6079 | ffit->SetParameters(startvalues); | |
6080 | ffit->SetParNames("Width","MP","Area","GSigma"); | |
6081 | ||
6082 | for (i = 0; i < 4; i++) { | |
6083 | ffit->SetParLimits(i,parlimitslo[i],parlimitshi[i]); | |
6084 | } | |
6085 | ||
6086 | his->Fit(funname,"RB0"); // Fit within specified range, use ParLimits, do not plot | |
6087 | ||
6088 | ffit->GetParameters(fitparams); // Obtain fit parameters | |
6089 | for (i = 0; i < 4; i++) { | |
6090 | fiterrors[i] = ffit->GetParError(i); // Obtain fit parameter errors | |
6091 | } | |
6092 | chiSqr[0] = ffit->GetChisquare(); // Obtain chi^2 | |
6093 | ndf[0] = ffit->GetNDF(); // Obtain ndf | |
6094 | ||
6095 | return (ffit); // Return fit function | |
6096 | ||
6097 | } | |
6098 | ||
6099 | //_____________________________________________________________________________ | |
979b168f | 6100 | Int_t AliTRDCalibraFit::LanGauPro(const Double_t *params, Double_t &maxx, Double_t &fwhm) |
55a288e5 | 6101 | { |
6102 | // | |
6103 | // Function for the fit | |
6104 | // | |
6105 | ||
6106 | Double_t p; | |
6107 | Double_t x; | |
6108 | Double_t fy; | |
6109 | Double_t fxr; | |
6110 | Double_t fxl; | |
6111 | Double_t step; | |
6112 | Double_t l; | |
6113 | Double_t lold; | |
6114 | ||
6115 | Int_t i = 0; | |
6116 | Int_t maxcalls = 10000; | |
6117 | ||
6118 | // Search for maximum | |
6119 | p = params[1] - 0.1 * params[0]; | |
6120 | step = 0.05 * params[0]; | |
6121 | lold = -2.0; | |
6122 | l = -1.0; | |
6123 | ||
6124 | while ((l != lold) && (i < maxcalls)) { | |
6125 | i++; | |
6126 | lold = l; | |
6127 | x = p + step; | |
6128 | l = LanGauFun(&x,params); | |
6129 | if (l < lold) { | |
6130 | step = -step / 10.0; | |
6131 | } | |
6132 | p += step; | |
6133 | } | |
6134 | ||
6135 | if (i == maxcalls) { | |
6136 | return (-1); | |
6137 | } | |
6138 | maxx = x; | |
6139 | fy = l / 2.0; | |
6140 | ||
6141 | // Search for right x location of fy | |
6142 | p = maxx + params[0]; | |
6143 | step = params[0]; | |
6144 | lold = -2.0; | |
6145 | l = -1e300; | |
6146 | i = 0; | |
6147 | ||
6148 | while ( (l != lold) && (i < maxcalls) ) { | |
6149 | i++; | |
6150 | ||
6151 | lold = l; | |
6152 | x = p + step; | |
6153 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
6154 | ||
6155 | if (l > lold) | |
6156 | step = -step/10; | |
6157 | ||
6158 | p += step; | |
6159 | } | |
6160 | ||
6161 | if (i == maxcalls) | |
6162 | return (-2); | |
6163 | ||
6164 | fxr = x; | |
6165 | ||
3a0f6479 | 6166 | |
55a288e5 | 6167 | // Search for left x location of fy |
6168 | ||
6169 | p = maxx - 0.5 * params[0]; | |
6170 | step = -params[0]; | |
6171 | lold = -2.0; | |
6172 | l = -1.0e300; | |
6173 | i = 0; | |
6174 | ||
6175 | while ((l != lold) && (i < maxcalls)) { | |
6176 | i++; | |
6177 | lold = l; | |
6178 | x = p + step; | |
6179 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
6180 | if (l > lold) { | |
6181 | step = -step / 10.0; | |
6182 | } | |
6183 | p += step; | |
6184 | } | |
6185 | ||
6186 | if (i == maxcalls) { | |
6187 | return (-3); | |
6188 | } | |
6189 | ||
6190 | fxl = x; | |
6191 | fwhm = fxr - fxl; | |
6192 | ||
6193 | return (0); | |
55a288e5 | 6194 | } |
55a288e5 | 6195 | //_____________________________________________________________________________ |
979b168f | 6196 | Double_t AliTRDCalibraFit::GausConstant(const Double_t *x, const Double_t *par) |
55a288e5 | 6197 | { |
6198 | // | |
6199 | // Gaus with identical mean | |
6200 | // | |
6201 | ||
e6381f8e | 6202 | Double_t gauss = par[0] * TMath::Gaus(x[0],0.0,par[1])+par[2]; |
55a288e5 | 6203 | |
e6381f8e | 6204 | return gauss; |
55a288e5 | 6205 | |
ef19f1da | 6206 | } |