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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> |
3a0f6479 | 62 | #include <TTreeStream.h> |
63 | #include <TLinearFitter.h> | |
64 | #include <TVectorD.h> | |
daa7dc79 | 65 | #include <TROOT.h> |
4c865c34 | 66 | #include <TString.h> |
595cfc12 | 67 | #include <TLine.h> |
55a288e5 | 68 | |
69 | #include "AliLog.h" | |
3a0f6479 | 70 | #include "AliMathBase.h" |
55a288e5 | 71 | |
72 | #include "AliTRDCalibraFit.h" | |
73 | #include "AliTRDCalibraMode.h" | |
74 | #include "AliTRDCalibraVector.h" | |
3a0f6479 | 75 | #include "AliTRDCalibraVdriftLinearFit.h" |
a0bb5615 | 76 | #include "AliTRDCalibraExbAltFit.h" |
55a288e5 | 77 | #include "AliTRDcalibDB.h" |
78 | #include "AliTRDgeometry.h" | |
3a0f6479 | 79 | #include "AliTRDpadPlane.h" |
80 | #include "AliTRDgeometry.h" | |
a076fc2f | 81 | #include "AliTRDCommonParam.h" |
55a288e5 | 82 | #include "./Cal/AliTRDCalROC.h" |
83 | #include "./Cal/AliTRDCalPad.h" | |
84 | #include "./Cal/AliTRDCalDet.h" | |
85 | ||
86 | ||
87 | ClassImp(AliTRDCalibraFit) | |
88 | ||
89 | AliTRDCalibraFit* AliTRDCalibraFit::fgInstance = 0; | |
90 | Bool_t AliTRDCalibraFit::fgTerminated = kFALSE; | |
91 | ||
92 | //_____________singleton implementation_________________________________________________ | |
93 | AliTRDCalibraFit *AliTRDCalibraFit::Instance() | |
94 | { | |
95 | // | |
96 | // Singleton implementation | |
97 | // | |
98 | ||
99 | if (fgTerminated != kFALSE) { | |
100 | return 0; | |
101 | } | |
102 | ||
103 | if (fgInstance == 0) { | |
104 | fgInstance = new AliTRDCalibraFit(); | |
105 | } | |
106 | ||
107 | return fgInstance; | |
108 | ||
109 | } | |
55a288e5 | 110 | //______________________________________________________________________________________ |
111 | void AliTRDCalibraFit::Terminate() | |
112 | { | |
113 | // | |
114 | // Singleton implementation | |
115 | // Deletes the instance of this class | |
116 | // | |
117 | ||
118 | fgTerminated = kTRUE; | |
119 | ||
120 | if (fgInstance != 0) { | |
121 | delete fgInstance; | |
122 | fgInstance = 0; | |
123 | } | |
124 | ||
125 | } | |
55a288e5 | 126 | //______________________________________________________________________________________ |
127 | AliTRDCalibraFit::AliTRDCalibraFit() | |
128 | :TObject() | |
f162af62 | 129 | ,fGeo(0) |
3a0f6479 | 130 | ,fNumberOfBinsExpected(0) |
131 | ,fMethod(0) | |
132 | ,fBeginFitCharge(3.5) | |
595cfc12 | 133 | ,fOutliersFitChargeLow(0.03) |
134 | ,fOutliersFitChargeHigh(0.80) | |
3a0f6479 | 135 | ,fFitPHPeriode(1) |
413153cb | 136 | ,fTakeTheMaxPH(kTRUE) |
137 | ,fT0Shift0(0.124797) | |
138 | ,fT0Shift1(0.267451) | |
3a0f6479 | 139 | ,fRangeFitPRF(1.0) |
55a288e5 | 140 | ,fAccCDB(kFALSE) |
3a0f6479 | 141 | ,fMinEntries(800) |
142 | ,fRebin(1) | |
54f2ff1c | 143 | ,fScaleGain(0.02431) |
55a288e5 | 144 | ,fNumberFit(0) |
145 | ,fNumberFitSuccess(0) | |
146 | ,fNumberEnt(0) | |
147 | ,fStatisticMean(0.0) | |
3a0f6479 | 148 | ,fDebugStreamer(0x0) |
149 | ,fDebugLevel(0) | |
55a288e5 | 150 | ,fFitVoir(0) |
3a0f6479 | 151 | ,fMagneticField(0.5) |
152 | ,fCalibraMode(new AliTRDCalibraMode()) | |
153 | ,fCurrentCoefE(0.0) | |
154 | ,fCurrentCoefE2(0.0) | |
155 | ,fDect1(0) | |
156 | ,fDect2(0) | |
55a288e5 | 157 | ,fScaleFitFactor(0.0) |
158 | ,fEntriesCurrent(0) | |
3a0f6479 | 159 | ,fCountDet(0) |
160 | ,fCount(0) | |
64942b85 | 161 | ,fNbDet(0) |
3a0f6479 | 162 | ,fCalDet(0x0) |
163 | ,fCalROC(0x0) | |
164 | ,fCalDet2(0x0) | |
165 | ,fCalROC2(0x0) | |
840ec79d | 166 | ,fCalDetVdriftUsed(0x0) |
167 | ,fCalDetExBUsed(0x0) | |
3a0f6479 | 168 | ,fCurrentCoefDetector(0x0) |
169 | ,fCurrentCoefDetector2(0x0) | |
170 | ,fVectorFit(0) | |
171 | ,fVectorFit2(0) | |
55a288e5 | 172 | { |
173 | // | |
174 | // Default constructor | |
175 | // | |
176 | ||
3a0f6479 | 177 | fGeo = new AliTRDgeometry(); |
178 | ||
179 | // Current variables initialised | |
180 | for (Int_t k = 0; k < 2; k++) { | |
181 | fCurrentCoef[k] = 0.0; | |
182 | fCurrentCoef2[k] = 0.0; | |
55a288e5 | 183 | } |
55a288e5 | 184 | for (Int_t i = 0; i < 3; i++) { |
3a0f6479 | 185 | fPhd[i] = 0.0; |
186 | fDet[i] = 0; | |
55a288e5 | 187 | } |
3a0f6479 | 188 | |
55a288e5 | 189 | } |
55a288e5 | 190 | //______________________________________________________________________________________ |
191 | AliTRDCalibraFit::AliTRDCalibraFit(const AliTRDCalibraFit &c) | |
3a0f6479 | 192 | :TObject(c) |
193 | ,fGeo(0) | |
194 | ,fNumberOfBinsExpected(c.fNumberOfBinsExpected) | |
195 | ,fMethod(c.fMethod) | |
196 | ,fBeginFitCharge(c.fBeginFitCharge) | |
595cfc12 | 197 | ,fOutliersFitChargeLow(c.fOutliersFitChargeLow) |
198 | ,fOutliersFitChargeHigh(c.fOutliersFitChargeHigh) | |
3a0f6479 | 199 | ,fFitPHPeriode(c.fFitPHPeriode) |
200 | ,fTakeTheMaxPH(c.fTakeTheMaxPH) | |
413153cb | 201 | ,fT0Shift0(c.fT0Shift0) |
202 | ,fT0Shift1(c.fT0Shift1) | |
3a0f6479 | 203 | ,fRangeFitPRF(c.fRangeFitPRF) |
204 | ,fAccCDB(c.fAccCDB) | |
205 | ,fMinEntries(c.fMinEntries) | |
206 | ,fRebin(c.fRebin) | |
54f2ff1c | 207 | ,fScaleGain(c.fScaleGain) |
3a0f6479 | 208 | ,fNumberFit(c.fNumberFit) |
209 | ,fNumberFitSuccess(c.fNumberFitSuccess) | |
210 | ,fNumberEnt(c.fNumberEnt) | |
211 | ,fStatisticMean(c.fStatisticMean) | |
212 | ,fDebugStreamer(0x0) | |
213 | ,fDebugLevel(c.fDebugLevel) | |
214 | ,fFitVoir(c.fFitVoir) | |
215 | ,fMagneticField(c.fMagneticField) | |
216 | ,fCalibraMode(0x0) | |
217 | ,fCurrentCoefE(c.fCurrentCoefE) | |
218 | ,fCurrentCoefE2(c.fCurrentCoefE2) | |
219 | ,fDect1(c.fDect1) | |
220 | ,fDect2(c.fDect2) | |
221 | ,fScaleFitFactor(c.fScaleFitFactor) | |
222 | ,fEntriesCurrent(c.fEntriesCurrent) | |
223 | ,fCountDet(c.fCountDet) | |
224 | ,fCount(c.fCount) | |
64942b85 | 225 | ,fNbDet(c.fNbDet) |
3a0f6479 | 226 | ,fCalDet(0x0) |
227 | ,fCalROC(0x0) | |
228 | ,fCalDet2(0x0) | |
229 | ,fCalROC2(0x0) | |
840ec79d | 230 | ,fCalDetVdriftUsed(0x0) |
231 | ,fCalDetExBUsed(0x0) | |
3a0f6479 | 232 | ,fCurrentCoefDetector(0x0) |
233 | ,fCurrentCoefDetector2(0x0) | |
234 | ,fVectorFit(0) | |
235 | ,fVectorFit2(0) | |
55a288e5 | 236 | { |
237 | // | |
238 | // Copy constructor | |
239 | // | |
240 | ||
3a0f6479 | 241 | if(c.fCalibraMode) fCalibraMode = new AliTRDCalibraMode(*c.fCalibraMode); |
242 | ||
243 | //Current variables initialised | |
244 | for (Int_t k = 0; k < 2; k++) { | |
245 | fCurrentCoef[k] = 0.0; | |
246 | fCurrentCoef2[k] = 0.0; | |
247 | } | |
248 | for (Int_t i = 0; i < 3; i++) { | |
249 | fPhd[i] = 0.0; | |
250 | fDet[i] = 0; | |
251 | } | |
252 | if(c.fCalDet) fCalDet = new AliTRDCalDet(*c.fCalDet); | |
253 | if(c.fCalDet2) fCalDet2 = new AliTRDCalDet(*c.fCalDet2); | |
64942b85 | 254 | |
3a0f6479 | 255 | if(c.fCalROC) fCalROC = new AliTRDCalROC(*c.fCalROC); |
256 | if(c.fCalROC2) fCalROC = new AliTRDCalROC(*c.fCalROC2); | |
257 | ||
840ec79d | 258 | if(c.fCalDetVdriftUsed) fCalDetVdriftUsed = new AliTRDCalDet(*c.fCalDetVdriftUsed); |
259 | if(c.fCalDetExBUsed) fCalDetExBUsed = new AliTRDCalDet(*c.fCalDetExBUsed); | |
260 | ||
3a0f6479 | 261 | fVectorFit.SetName(c.fVectorFit.GetName()); |
262 | for(Int_t k = 0; k < c.fVectorFit.GetEntriesFast(); k++){ | |
263 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
264 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetDetector(); | |
265 | Int_t ntotal = 1; | |
053767a4 | 266 | if (GetStack(detector) == 2) { |
3a0f6479 | 267 | ntotal = 1728; |
268 | } | |
269 | else { | |
270 | ntotal = 2304; | |
271 | } | |
272 | Float_t *coef = new Float_t[ntotal]; | |
273 | for (Int_t i = 0; i < ntotal; i++) { | |
274 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetCoef()[i]; | |
275 | } | |
276 | fitInfo->SetCoef(coef); | |
277 | fitInfo->SetDetector(detector); | |
278 | fVectorFit.Add((TObject *) fitInfo); | |
279 | } | |
280 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
281 | for(Int_t k = 0; k < c.fVectorFit2.GetEntriesFast(); k++){ | |
282 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
283 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetDetector(); | |
284 | Int_t ntotal = 1; | |
053767a4 | 285 | if (GetStack(detector) == 2) { |
3a0f6479 | 286 | ntotal = 1728; |
287 | } | |
288 | else { | |
289 | ntotal = 2304; | |
290 | } | |
291 | Float_t *coef = new Float_t[ntotal]; | |
292 | for (Int_t i = 0; i < ntotal; i++) { | |
293 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetCoef()[i]; | |
294 | } | |
295 | fitInfo->SetCoef(coef); | |
296 | fitInfo->SetDetector(detector); | |
297 | fVectorFit2.Add((TObject *) fitInfo); | |
298 | } | |
299 | if (fGeo) { | |
300 | delete fGeo; | |
301 | } | |
302 | fGeo = new AliTRDgeometry(); | |
55a288e5 | 303 | |
3a0f6479 | 304 | } |
55a288e5 | 305 | //____________________________________________________________________________________ |
306 | AliTRDCalibraFit::~AliTRDCalibraFit() | |
307 | { | |
308 | // | |
309 | // AliTRDCalibraFit destructor | |
310 | // | |
3a0f6479 | 311 | if ( fDebugStreamer ) delete fDebugStreamer; |
312 | if ( fCalDet ) delete fCalDet; | |
313 | if ( fCalDet2 ) delete fCalDet2; | |
314 | if ( fCalROC ) delete fCalROC; | |
1ca79a00 | 315 | if ( fCalROC2 ) delete fCalROC2; |
840ec79d | 316 | if ( fCalDetVdriftUsed) delete fCalDetVdriftUsed; |
317 | if ( fCalDetExBUsed) delete fCalDetExBUsed; | |
1ca79a00 | 318 | if( fCurrentCoefDetector ) delete [] fCurrentCoefDetector; |
319 | if( fCurrentCoefDetector2 ) delete [] fCurrentCoefDetector2; | |
3a0f6479 | 320 | fVectorFit.Delete(); |
321 | fVectorFit2.Delete(); | |
f162af62 | 322 | if (fGeo) { |
323 | delete fGeo; | |
324 | } | |
325 | ||
55a288e5 | 326 | } |
55a288e5 | 327 | //_____________________________________________________________________________ |
328 | void AliTRDCalibraFit::Destroy() | |
329 | { | |
330 | // | |
331 | // Delete instance | |
332 | // | |
333 | ||
334 | if (fgInstance) { | |
335 | delete fgInstance; | |
336 | fgInstance = 0x0; | |
337 | } | |
338 | ||
64942b85 | 339 | } |
340 | //_____________________________________________________________________________ | |
341 | void AliTRDCalibraFit::DestroyDebugStreamer() | |
342 | { | |
343 | // | |
344 | // Delete DebugStreamer | |
345 | // | |
346 | ||
347 | if ( fDebugStreamer ) delete fDebugStreamer; | |
348 | fDebugStreamer = 0x0; | |
349 | ||
55a288e5 | 350 | } |
55a288e5 | 351 | //____________Functions fit Online CH2d________________________________________ |
979b168f | 352 | Bool_t AliTRDCalibraFit::AnalyseCH(const TH2I *ch) |
55a288e5 | 353 | { |
354 | // | |
355 | // Fit the 1D histos, projections of the 2D ch on the Xaxis, for each | |
356 | // calibration group normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 357 | // |
358 | ||
3a0f6479 | 359 | // Set the calibration mode |
4c865c34 | 360 | //const char *name = ch->GetTitle(); |
361 | TString name = ch->GetTitle(); | |
64942b85 | 362 | if(!SetModeCalibration(name,0)) return kFALSE; |
3a0f6479 | 363 | |
364 | // Number of Ybins (detectors or groups of pads) | |
365 | Int_t nbins = ch->GetNbinsX();// charge | |
366 | Int_t nybins = ch->GetNbinsY();// groups number | |
367 | if (!InitFit(nybins,0)) { | |
55a288e5 | 368 | return kFALSE; |
369 | } | |
3a0f6479 | 370 | if (!InitFitCH()) { |
55a288e5 | 371 | return kFALSE; |
372 | } | |
373 | fStatisticMean = 0.0; | |
374 | fNumberFit = 0; | |
375 | fNumberFitSuccess = 0; | |
376 | fNumberEnt = 0; | |
55a288e5 | 377 | // Init fCountDet and fCount |
378 | InitfCountDetAndfCount(0); | |
55a288e5 | 379 | // Beginning of the loop betwwen dect1 and dect2 |
3a0f6479 | 380 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
381 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi... | |
55a288e5 | 382 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 383 | ReconstructFitRowMinRowMax(idect, 0); |
3a0f6479 | 384 | // Take the histo |
385 | TH1I *projch = (TH1I *) ch->ProjectionX("projch",idect+1,idect+1,(Option_t *)"e"); | |
386 | projch->SetDirectory(0); | |
55a288e5 | 387 | // Number of entries for this calibration group |
388 | Double_t nentries = 0.0; | |
389 | Double_t mean = 0.0; | |
3a0f6479 | 390 | for (Int_t k = 0; k < nbins; k++) { |
391 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
392 | nentries += ch->GetBinContent(binnb); | |
55a288e5 | 393 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); |
3a0f6479 | 394 | projch->SetBinError(k+1,TMath::Sqrt(projch->GetBinContent(k+1))); |
55a288e5 | 395 | } |
3a0f6479 | 396 | projch->SetEntries(nentries); |
397 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 398 | if (nentries > 0) { |
399 | fNumberEnt++; | |
400 | mean /= nentries; | |
401 | } | |
55a288e5 | 402 | // Rebin and statistic stuff |
55a288e5 | 403 | if (fRebin > 1) { |
404 | projch = ReBin((TH1I *) projch); | |
405 | } | |
406 | // This detector has not enough statistics or was off | |
3a0f6479 | 407 | if (nentries <= fMinEntries) { |
408 | NotEnoughStatisticCH(idect); | |
409 | if (fDebugLevel != 1) { | |
55a288e5 | 410 | delete projch; |
411 | } | |
412 | continue; | |
413 | } | |
55a288e5 | 414 | // Statistics of the group fitted |
55a288e5 | 415 | fStatisticMean += nentries; |
416 | fNumberFit++; | |
3a0f6479 | 417 | //Method choosen |
418 | switch(fMethod) | |
419 | { | |
420 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
421 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
595cfc12 | 422 | case 2: FitLandau((TH1 *) projch, mean, nentries); break; |
423 | case 3: FitCH((TH1 *) projch, mean, nentries); break; | |
424 | case 4: FitBisCH((TH1 *) projch, mean, nentries); break; | |
425 | case 5: FitBisCHEx((TH1 *) projch, mean, nentries); break; | |
3a0f6479 | 426 | default: return kFALSE; |
427 | } | |
55a288e5 | 428 | // Fill Infos Fit |
3a0f6479 | 429 | FillInfosFitCH(idect); |
55a288e5 | 430 | // Memory!!! |
3a0f6479 | 431 | if (fDebugLevel != 1) { |
55a288e5 | 432 | delete projch; |
433 | } | |
55a288e5 | 434 | } // Boucle object |
55a288e5 | 435 | // Normierungcharge |
3a0f6479 | 436 | if (fDebugLevel != 1) { |
55a288e5 | 437 | NormierungCharge(); |
438 | } | |
55a288e5 | 439 | // Mean Statistic |
440 | if (fNumberFit > 0) { | |
6245a86f | 441 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %f over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Double_t) (fStatisticMean/fNumberFit), fNumberFitSuccess)); |
55a288e5 | 442 | fStatisticMean = fStatisticMean / fNumberFit; |
443 | } | |
444 | else { | |
445 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
446 | } | |
3a0f6479 | 447 | delete fDebugStreamer; |
448 | fDebugStreamer = 0x0; | |
449 | ||
55a288e5 | 450 | return kTRUE; |
55a288e5 | 451 | } |
55a288e5 | 452 | //____________Functions fit Online CH2d________________________________________ |
3a0f6479 | 453 | Bool_t AliTRDCalibraFit::AnalyseCH(AliTRDCalibraVector *calvect) |
55a288e5 | 454 | { |
455 | // | |
456 | // Reconstruct a 1D histo from the vectorCH for each calibration group, | |
457 | // fit the histo, normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 458 | // |
459 | ||
3a0f6479 | 460 | // Set the calibraMode |
4c865c34 | 461 | //const char *name = calvect->GetNameCH(); |
462 | TString name = calvect->GetNameCH(); | |
64942b85 | 463 | if(!SetModeCalibration(name,0)) return kFALSE; |
55a288e5 | 464 | |
3a0f6479 | 465 | // Number of Xbins (detectors or groups of pads) |
466 | if (!InitFit((432*calvect->GetDetCha0(0)+108*calvect->GetDetCha2(0)),0)) { | |
55a288e5 | 467 | return kFALSE; |
468 | } | |
3a0f6479 | 469 | if (!InitFitCH()) { |
55a288e5 | 470 | return kFALSE; |
471 | } | |
472 | fStatisticMean = 0.0; | |
473 | fNumberFit = 0; | |
474 | fNumberFitSuccess = 0; | |
475 | fNumberEnt = 0; | |
55a288e5 | 476 | // Init fCountDet and fCount |
477 | InitfCountDetAndfCount(0); | |
55a288e5 | 478 | // Beginning of the loop between dect1 and dect2 |
3a0f6479 | 479 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
480 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 481 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 482 | ReconstructFitRowMinRowMax(idect,0); |
3a0f6479 | 483 | // Take the histo |
55a288e5 | 484 | Double_t nentries = 0.0; |
485 | Double_t mean = 0.0; | |
e526983e | 486 | if(!calvect->GetCHEntries(fCountDet)) { |
487 | NotEnoughStatisticCH(idect); | |
488 | continue; | |
489 | } | |
490 | ||
491 | TString tname("CH"); | |
492 | tname += idect; | |
493 | TH1F *projch = calvect->ConvertVectorCHHisto(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0)))),(const char *) tname); | |
494 | projch->SetDirectory(0); | |
495 | for (Int_t k = 0; k < calvect->GetNumberBinCharge(); k++) { | |
496 | nentries += projch->GetBinContent(k+1); | |
497 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); | |
498 | } | |
499 | if (nentries > 0) { | |
500 | fNumberEnt++; | |
501 | mean /= nentries; | |
502 | } | |
503 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
504 | // Rebin | |
505 | if (fRebin > 1) { | |
506 | projch = ReBin((TH1F *) projch); | |
55a288e5 | 507 | } |
55a288e5 | 508 | // This detector has not enough statistics or was not found in VectorCH |
3a0f6479 | 509 | if (nentries <= fMinEntries) { |
510 | NotEnoughStatisticCH(idect); | |
55a288e5 | 511 | continue; |
55a288e5 | 512 | } |
55a288e5 | 513 | // Statistic of the histos fitted |
55a288e5 | 514 | fStatisticMean += nentries; |
515 | fNumberFit++; | |
3a0f6479 | 516 | //Method choosen |
517 | switch(fMethod) | |
518 | { | |
519 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
520 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
595cfc12 | 521 | case 2: FitLandau((TH1 *) projch, mean, nentries); break; |
522 | case 3: FitCH((TH1 *) projch, mean, nentries); break; | |
523 | case 4: FitBisCH((TH1 *) projch, mean, nentries); break; | |
524 | case 5: FitBisCHEx((TH1 *) projch, mean, nentries); break; | |
3a0f6479 | 525 | default: return kFALSE; |
526 | } | |
55a288e5 | 527 | // Fill Infos Fit |
3a0f6479 | 528 | FillInfosFitCH(idect); |
55a288e5 | 529 | } // Boucle object |
55a288e5 | 530 | // Normierungcharge |
3a0f6479 | 531 | if (fDebugLevel != 1) { |
55a288e5 | 532 | NormierungCharge(); |
533 | } | |
55a288e5 | 534 | // Mean Statistics |
535 | if (fNumberFit > 0) { | |
6245a86f | 536 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %f over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Double_t) (fStatisticMean/fNumberFit), fNumberFitSuccess)); |
55a288e5 | 537 | fStatisticMean = fStatisticMean / fNumberFit; |
538 | } | |
539 | else { | |
540 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
541 | } | |
3a0f6479 | 542 | delete fDebugStreamer; |
543 | fDebugStreamer = 0x0; | |
55a288e5 | 544 | return kTRUE; |
55a288e5 | 545 | } |
54f2ff1c | 546 | //____________Functions fit Online CH2d________________________________________ |
547 | Double_t AliTRDCalibraFit::AnalyseCHAllTogether(const TH2I *ch) | |
548 | { | |
549 | // | |
550 | // Fit the 1D histos, projections of the 2D ch on the Xaxis, for each | |
551 | // calibration group normalized the resulted coefficients (to 1 normally) | |
552 | // | |
553 | Int_t nbins = ch->GetNbinsX();// charge | |
554 | Int_t nybins = ch->GetNbinsY();// groups number | |
555 | // Take the histo | |
556 | TH1I *projch = (TH1I *) ch->ProjectionX("projch",1,nybins+1,(Option_t *)"e"); | |
557 | projch->SetDirectory(0); | |
558 | // Number of entries for this calibration group | |
559 | Double_t nentries = 0.0; | |
560 | Double_t mean = 0.0; | |
561 | for (Int_t k = 0; k < nbins; k++) { | |
562 | nentries += projch->GetBinContent(k+1); | |
563 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); | |
564 | projch->SetBinError(k+1,TMath::Sqrt(projch->GetBinContent(k+1))); | |
565 | } | |
566 | projch->SetEntries(nentries); | |
567 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
568 | if (nentries > 0) { | |
54f2ff1c | 569 | mean /= nentries; |
570 | } | |
571 | // This detector has not enough statistics or was off | |
572 | if (nentries <= fMinEntries) { | |
573 | delete projch; | |
574 | AliInfo(Form("There are %d entries for all together, it is not enough (%d)",(Int_t) nentries, fMinEntries)); | |
575 | return -100.0; | |
576 | } | |
577 | //Method choosen | |
578 | switch(fMethod) | |
579 | { | |
580 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
581 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
595cfc12 | 582 | case 2: FitLandau((TH1 *) projch, mean, nentries); break; |
583 | case 3: FitCH((TH1 *) projch, mean, nentries); break; | |
584 | case 4: FitBisCH((TH1 *) projch, mean, nentries); break; | |
585 | case 5: FitBisCHEx((TH1 *) projch, mean, nentries); break; | |
b88b6bcc | 586 | default: return -100.0; |
54f2ff1c | 587 | } |
588 | delete fDebugStreamer; | |
589 | fDebugStreamer = 0x0; | |
590 | ||
591 | if(fCurrentCoef[0] > 0.0) return fCurrentCoef[0]; | |
592 | else return -100.0; | |
593 | ||
594 | } | |
3a0f6479 | 595 | //________________functions fit Online PH2d____________________________________ |
b88b6bcc | 596 | Double_t AliTRDCalibraFit::AnalysePHAllTogether(const TProfile2D *ph) |
55a288e5 | 597 | { |
598 | // | |
3a0f6479 | 599 | // Take the 1D profiles (average pulse height), projections of the 2D PH |
600 | // on the Xaxis, for each calibration group | |
601 | // Reconstruct a drift velocity | |
602 | // A first calibration of T0 is also made using the same method | |
55a288e5 | 603 | // |
604 | ||
3a0f6479 | 605 | // Number of Xbins (detectors or groups of pads) |
606 | Int_t nbins = ph->GetNbinsX();// time | |
607 | Int_t nybins = ph->GetNbinsY();// calibration group | |
b88b6bcc | 608 | |
609 | // Take the histo | |
610 | TH1D *projph = (TH1D *) ph->ProjectionX("projph",1,nybins+1,(Option_t *) "e"); | |
611 | projph->SetDirectory(0); | |
612 | // Number of entries for this calibration group | |
613 | Double_t nentries = 0; | |
614 | for(Int_t idect = 0; idect < nybins; idect++){ | |
615 | for (Int_t k = 0; k < nbins; k++) { | |
616 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
617 | nentries += ph->GetBinEntries(binnb); | |
618 | } | |
55a288e5 | 619 | } |
b88b6bcc | 620 | //printf("AnalysePHAllTogether:: the number of entries is %f\n",nentries); |
621 | // This detector has not enough statistics or was off | |
622 | if (nentries <= fMinEntries) { | |
623 | AliInfo(Form("There are %d entries for all together, it is not enough (%d)",(Int_t) nentries, fMinEntries)); | |
624 | if (fDebugLevel != 1) { | |
625 | delete projph; | |
626 | } | |
627 | return -100.0; | |
628 | } | |
629 | //Method choosen | |
630 | //printf("Method\n"); | |
631 | switch(fMethod) | |
632 | { | |
633 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
634 | case 1: FitPente((TH1 *) projph); break; | |
635 | case 2: FitPH((TH1 *) projph,0); break; | |
636 | default: return -100.0; | |
637 | } | |
638 | // Memory!!! | |
639 | if (fDebugLevel != 1) { | |
640 | delete projph; | |
641 | } | |
642 | delete fDebugStreamer; | |
643 | fDebugStreamer = 0x0; | |
644 | ||
645 | if(fCurrentCoef[0] > 0.0) return fCurrentCoef[0]; | |
646 | else return -100.0; | |
647 | ||
648 | } | |
649 | //____________Functions fit Online PH2d________________________________________ | |
650 | Bool_t AliTRDCalibraFit::AnalysePH(AliTRDCalibraVector *calvect) | |
651 | { | |
652 | // | |
653 | // Reconstruct the average pulse height from the vectorPH for each | |
654 | // calibration group | |
655 | // Reconstruct a drift velocity | |
656 | // A first calibration of T0 is also made using the same method (slope method) | |
657 | // | |
6aafa7ea | 658 | |
b88b6bcc | 659 | // Set the calibration mode |
660 | //const char *name = calvect->GetNamePH(); | |
661 | TString name = calvect->GetNamePH(); | |
662 | if(!SetModeCalibration(name,1)) return kFALSE; | |
6aafa7ea | 663 | |
b88b6bcc | 664 | // Number of Xbins (detectors or groups of pads) |
665 | if (!InitFit((432*calvect->GetDetCha0(1)+108*calvect->GetDetCha2(1)),1)) { | |
666 | return kFALSE; | |
667 | } | |
3a0f6479 | 668 | if (!InitFitPH()) { |
55a288e5 | 669 | return kFALSE; |
670 | } | |
671 | fStatisticMean = 0.0; | |
672 | fNumberFit = 0; | |
673 | fNumberFitSuccess = 0; | |
674 | fNumberEnt = 0; | |
55a288e5 | 675 | // Init fCountDet and fCount |
3a0f6479 | 676 | InitfCountDetAndfCount(1); |
677 | // Beginning of the loop | |
678 | for (Int_t idect = fDect1; idect < fDect2; idect++) { | |
b88b6bcc | 679 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... |
3a0f6479 | 680 | UpdatefCountDetAndfCount(idect,1); |
681 | ReconstructFitRowMinRowMax(idect,1); | |
682 | // Take the histo | |
b88b6bcc | 683 | fEntriesCurrent = 0; |
684 | if(!calvect->GetPHEntries(fCountDet)) { | |
685 | NotEnoughStatisticPH(idect,fEntriesCurrent); | |
686 | continue; | |
55a288e5 | 687 | } |
b88b6bcc | 688 | TString tname("PH"); |
689 | tname += idect; | |
690 | TH1F *projph = calvect->CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPHTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname)),fEntriesCurrent); | |
691 | projph->SetDirectory(0); | |
692 | if(fEntriesCurrent > 0) fNumberEnt++; | |
693 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); | |
3a0f6479 | 694 | // This detector has not enough statistics or was off |
b88b6bcc | 695 | if (fEntriesCurrent <= fMinEntries) { |
696 | //printf("Not enough stat!\n"); | |
697 | NotEnoughStatisticPH(idect,fEntriesCurrent); | |
55a288e5 | 698 | continue; |
55a288e5 | 699 | } |
b88b6bcc | 700 | // Statistic of the histos fitted |
55a288e5 | 701 | fNumberFit++; |
b88b6bcc | 702 | fStatisticMean += fEntriesCurrent; |
3a0f6479 | 703 | // Calcul of "real" coef |
704 | CalculVdriftCoefMean(); | |
705 | CalculT0CoefMean(); | |
706 | //Method choosen | |
707 | switch(fMethod) | |
708 | { | |
709 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
710 | case 1: FitPente((TH1 *) projph); break; | |
711 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
712 | default: return kFALSE; | |
713 | } | |
714 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
b88b6bcc | 715 | FillInfosFitPH(idect,fEntriesCurrent); |
55a288e5 | 716 | } // Boucle object |
b88b6bcc | 717 | |
55a288e5 | 718 | // Mean Statistic |
719 | if (fNumberFit > 0) { | |
6245a86f | 720 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %f over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Double_t) (fStatisticMean/fNumberFit),fNumberFitSuccess)); |
55a288e5 | 721 | fStatisticMean = fStatisticMean / fNumberFit; |
722 | } | |
723 | else { | |
724 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
725 | } | |
3a0f6479 | 726 | delete fDebugStreamer; |
727 | fDebugStreamer = 0x0; | |
55a288e5 | 728 | return kTRUE; |
55a288e5 | 729 | } |
b88b6bcc | 730 | //________________functions fit Online PH2d____________________________________ |
731 | Bool_t AliTRDCalibraFit::AnalysePH(const TProfile2D *ph) | |
55a288e5 | 732 | { |
733 | // | |
b88b6bcc | 734 | // Take the 1D profiles (average pulse height), projections of the 2D PH |
735 | // on the Xaxis, for each calibration group | |
3a0f6479 | 736 | // Reconstruct a drift velocity |
b88b6bcc | 737 | // A first calibration of T0 is also made using the same method |
55a288e5 | 738 | // |
739 | ||
3a0f6479 | 740 | // Set the calibration mode |
b88b6bcc | 741 | //const char *name = ph->GetTitle(); |
742 | TString name = ph->GetTitle(); | |
64942b85 | 743 | if(!SetModeCalibration(name,1)) return kFALSE; |
b88b6bcc | 744 | |
745 | //printf("Mode calibration set\n"); | |
3a0f6479 | 746 | |
747 | // Number of Xbins (detectors or groups of pads) | |
b88b6bcc | 748 | Int_t nbins = ph->GetNbinsX();// time |
749 | Int_t nybins = ph->GetNbinsY();// calibration group | |
750 | if (!InitFit(nybins,1)) { | |
55a288e5 | 751 | return kFALSE; |
752 | } | |
b88b6bcc | 753 | |
754 | //printf("Init fit\n"); | |
755 | ||
3a0f6479 | 756 | if (!InitFitPH()) { |
55a288e5 | 757 | return kFALSE; |
758 | } | |
b88b6bcc | 759 | |
760 | //printf("Init fit PH\n"); | |
761 | ||
55a288e5 | 762 | fStatisticMean = 0.0; |
763 | fNumberFit = 0; | |
764 | fNumberFitSuccess = 0; | |
765 | fNumberEnt = 0; | |
55a288e5 | 766 | // Init fCountDet and fCount |
767 | InitfCountDetAndfCount(1); | |
b88b6bcc | 768 | //printf("Init Count Det and fCount %d, %d\n",fDect1,fDect2); |
769 | ||
55a288e5 | 770 | // Beginning of the loop |
3a0f6479 | 771 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
b88b6bcc | 772 | //printf("idect = %d\n",idect); |
773 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... | |
55a288e5 | 774 | UpdatefCountDetAndfCount(idect,1); |
55a288e5 | 775 | ReconstructFitRowMinRowMax(idect,1); |
3a0f6479 | 776 | // Take the histo |
b88b6bcc | 777 | TH1D *projph = (TH1D *) ph->ProjectionX("projph",idect+1,idect+1,(Option_t *) "e"); |
778 | projph->SetDirectory(0); | |
779 | // Number of entries for this calibration group | |
780 | Double_t nentries = 0; | |
781 | for (Int_t k = 0; k < nbins; k++) { | |
782 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
783 | nentries += ph->GetBinEntries(binnb); | |
3a0f6479 | 784 | } |
b88b6bcc | 785 | if (nentries > 0) { |
786 | fNumberEnt++; | |
787 | } | |
788 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 789 | // This detector has not enough statistics or was off |
b88b6bcc | 790 | if (nentries <= fMinEntries) { |
791 | //printf("Not enough statistic!\n"); | |
792 | NotEnoughStatisticPH(idect,nentries); | |
793 | if (fDebugLevel != 1) { | |
794 | delete projph; | |
795 | } | |
55a288e5 | 796 | continue; |
55a288e5 | 797 | } |
b88b6bcc | 798 | // Statistics of the histos fitted |
55a288e5 | 799 | fNumberFit++; |
b88b6bcc | 800 | fStatisticMean += nentries; |
55a288e5 | 801 | // Calcul of "real" coef |
3a0f6479 | 802 | CalculVdriftCoefMean(); |
803 | CalculT0CoefMean(); | |
804 | //Method choosen | |
b88b6bcc | 805 | //printf("Method\n"); |
3a0f6479 | 806 | switch(fMethod) |
807 | { | |
808 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
809 | case 1: FitPente((TH1 *) projph); break; | |
810 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
811 | default: return kFALSE; | |
812 | } | |
55a288e5 | 813 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
b88b6bcc | 814 | FillInfosFitPH(idect,nentries); |
815 | // Memory!!! | |
816 | if (fDebugLevel != 1) { | |
817 | delete projph; | |
818 | } | |
55a288e5 | 819 | } // Boucle object |
55a288e5 | 820 | // Mean Statistic |
821 | if (fNumberFit > 0) { | |
6245a86f | 822 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %f over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Double_t) (fStatisticMean/fNumberFit),fNumberFitSuccess)); |
55a288e5 | 823 | fStatisticMean = fStatisticMean / fNumberFit; |
824 | } | |
825 | else { | |
826 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
827 | } | |
3a0f6479 | 828 | delete fDebugStreamer; |
829 | fDebugStreamer = 0x0; | |
55a288e5 | 830 | return kTRUE; |
55a288e5 | 831 | } |
3a0f6479 | 832 | //____________Functions fit Online PRF2d_______________________________________ |
979b168f | 833 | Bool_t AliTRDCalibraFit::AnalysePRF(const TProfile2D *prf) |
55a288e5 | 834 | { |
835 | // | |
3a0f6479 | 836 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
837 | // on the Xaxis, for each calibration group | |
838 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 839 | // |
840 | ||
3a0f6479 | 841 | // Set the calibration mode |
4c865c34 | 842 | //const char *name = prf->GetTitle(); |
843 | TString name = prf->GetTitle(); | |
64942b85 | 844 | if(!SetModeCalibration(name,2)) return kFALSE; |
55a288e5 | 845 | |
3a0f6479 | 846 | // Number of Ybins (detectors or groups of pads) |
847 | Int_t nybins = prf->GetNbinsY();// calibration groups | |
848 | Int_t nbins = prf->GetNbinsX();// bins | |
849 | Int_t nbg = GetNumberOfGroupsPRF((const char *)prf->GetTitle()); | |
850 | if((nbg > 0) || (nbg == -1)) return kFALSE; | |
851 | if (!InitFit(nybins,2)) { | |
55a288e5 | 852 | return kFALSE; |
853 | } | |
3a0f6479 | 854 | if (!InitFitPRF()) { |
55a288e5 | 855 | return kFALSE; |
856 | } | |
857 | fStatisticMean = 0.0; | |
858 | fNumberFit = 0; | |
859 | fNumberFitSuccess = 0; | |
860 | fNumberEnt = 0; | |
55a288e5 | 861 | // Init fCountDet and fCount |
3a0f6479 | 862 | InitfCountDetAndfCount(2); |
55a288e5 | 863 | // Beginning of the loop |
3a0f6479 | 864 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
865 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
866 | UpdatefCountDetAndfCount(idect,2); | |
867 | ReconstructFitRowMinRowMax(idect,2); | |
868 | // Take the histo | |
869 | TH1D *projprf = (TH1D *) prf->ProjectionX("projprf",idect+1,idect+1,(Option_t *) "e"); | |
870 | projprf->SetDirectory(0); | |
871 | // Number of entries for this calibration group | |
872 | Double_t nentries = 0; | |
873 | for (Int_t k = 0; k < nbins; k++) { | |
874 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
875 | nentries += prf->GetBinEntries(binnb); | |
55a288e5 | 876 | } |
3a0f6479 | 877 | if(nentries > 0) fNumberEnt++; |
55a288e5 | 878 | // This detector has not enough statistics or was off |
3a0f6479 | 879 | if (nentries <= fMinEntries) { |
880 | NotEnoughStatisticPRF(idect); | |
881 | if (fDebugLevel != 1) { | |
882 | delete projprf; | |
55a288e5 | 883 | } |
55a288e5 | 884 | continue; |
55a288e5 | 885 | } |
3a0f6479 | 886 | // Statistics of the histos fitted |
55a288e5 | 887 | fNumberFit++; |
3a0f6479 | 888 | fStatisticMean += nentries; |
55a288e5 | 889 | // Calcul of "real" coef |
3a0f6479 | 890 | CalculPRFCoefMean(); |
891 | //Method choosen | |
892 | switch(fMethod) | |
893 | { | |
894 | case 0: FitPRF((TH1 *) projprf); break; | |
895 | case 1: RmsPRF((TH1 *) projprf); break; | |
896 | default: return kFALSE; | |
897 | } | |
55a288e5 | 898 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 899 | FillInfosFitPRF(idect); |
55a288e5 | 900 | // Memory!!! |
3a0f6479 | 901 | if (fDebugLevel != 1) { |
902 | delete projprf; | |
55a288e5 | 903 | } |
55a288e5 | 904 | } // Boucle object |
55a288e5 | 905 | // Mean Statistic |
906 | if (fNumberFit > 0) { | |
907 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
908 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
6245a86f | 909 | AliInfo(Form("There is a mean statistic of: %f over these fitted histograms and %d successfulled fits" |
910 | ,(Double_t) (fStatisticMean/fNumberFit),fNumberFitSuccess)); | |
55a288e5 | 911 | fStatisticMean = fStatisticMean / fNumberFit; |
912 | } | |
913 | else { | |
914 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
915 | } | |
3a0f6479 | 916 | delete fDebugStreamer; |
917 | fDebugStreamer = 0x0; | |
55a288e5 | 918 | return kTRUE; |
55a288e5 | 919 | } |
3a0f6479 | 920 | //____________Functions fit Online PRF2d_______________________________________ |
979b168f | 921 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(const TProfile2D *prf) |
55a288e5 | 922 | { |
923 | // | |
3a0f6479 | 924 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
925 | // on the Xaxis, for each calibration group | |
926 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 927 | // |
3a0f6479 | 928 | |
929 | // Set the calibration mode | |
4c865c34 | 930 | //const char *name = prf->GetTitle(); |
931 | TString name = prf->GetTitle(); | |
64942b85 | 932 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 933 | |
934 | // Number of Ybins (detectors or groups of pads) | |
935 | TAxis *xprf = prf->GetXaxis(); | |
936 | TAxis *yprf = prf->GetYaxis(); | |
937 | Int_t nybins = yprf->GetNbins();// calibration groups | |
938 | Int_t nbins = xprf->GetNbins();// bins | |
939 | Float_t lowedge = (Float_t) xprf->GetBinLowEdge(1);//lowedge in bins | |
940 | Float_t upedge = (Float_t) xprf->GetBinUpEdge(nbins);//upedge in bins | |
941 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
942 | if(nbg == -1) return kFALSE; | |
943 | if(nbg > 0) fMethod = 1; | |
944 | else fMethod = 0; | |
945 | if (!InitFit(nybins,2)) { | |
55a288e5 | 946 | return kFALSE; |
947 | } | |
3a0f6479 | 948 | if (!InitFitPRF()) { |
55a288e5 | 949 | return kFALSE; |
950 | } | |
951 | fStatisticMean = 0.0; | |
3a0f6479 | 952 | fNumberFit = 0; |
55a288e5 | 953 | fNumberFitSuccess = 0; |
954 | fNumberEnt = 0; | |
55a288e5 | 955 | // Init fCountDet and fCount |
3a0f6479 | 956 | InitfCountDetAndfCount(2); |
55a288e5 | 957 | // Beginning of the loop |
3a0f6479 | 958 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
959 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... | |
960 | UpdatefCountDetAndfCount(idect,2); | |
961 | ReconstructFitRowMinRowMax(idect,2); | |
962 | // Build the array of entries and sum | |
963 | TArrayD arraye = TArrayD(nbins); | |
964 | TArrayD arraym = TArrayD(nbins); | |
965 | TArrayD arrayme = TArrayD(nbins); | |
966 | Double_t nentries = 0; | |
967 | //printf("nbins %d\n",nbins); | |
968 | for (Int_t k = 0; k < nbins; k++) { | |
969 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
970 | Double_t entries = (Double_t)prf->GetBinEntries(binnb); | |
971 | Double_t mean = (Double_t)prf->GetBinContent(binnb); | |
972 | Double_t error = (Double_t)prf->GetBinError(binnb); | |
973 | //printf("for %d we have %f\n",k,entries); | |
974 | nentries += entries; | |
975 | arraye.AddAt(entries,k); | |
976 | arraym.AddAt(mean,k); | |
977 | arrayme.AddAt(error,k); | |
55a288e5 | 978 | } |
3a0f6479 | 979 | if(nentries > 0) fNumberEnt++; |
980 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 981 | // This detector has not enough statistics or was off |
3a0f6479 | 982 | if (nentries <= fMinEntries) { |
983 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 984 | continue; |
55a288e5 | 985 | } |
55a288e5 | 986 | // Statistics of the histos fitted |
55a288e5 | 987 | fNumberFit++; |
3a0f6479 | 988 | fStatisticMean += nentries; |
55a288e5 | 989 | // Calcul of "real" coef |
3a0f6479 | 990 | CalculPRFCoefMean(); |
991 | //Method choosen | |
992 | switch(fMethod) | |
993 | { | |
994 | case 0: FitPRFGausMI( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbins, lowedge, upedge); break; | |
995 | case 1: FitTnpRange( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbg, nbins); break; | |
996 | default: return kFALSE; | |
997 | } | |
55a288e5 | 998 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 999 | FillInfosFitPRF(idect); |
55a288e5 | 1000 | } // Boucle object |
3a0f6479 | 1001 | // Mean Statistic |
55a288e5 | 1002 | if (fNumberFit > 0) { |
1003 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
1004 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
6245a86f | 1005 | AliInfo(Form("There is a mean statistic of: %f over these fitted histograms and %d successfulled fits" |
1006 | ,(Double_t) (fStatisticMean/fNumberFit),fNumberFitSuccess)); | |
55a288e5 | 1007 | fStatisticMean = fStatisticMean / fNumberFit; |
1008 | } | |
1009 | else { | |
1010 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1011 | } | |
3a0f6479 | 1012 | delete fDebugStreamer; |
1013 | fDebugStreamer = 0x0; | |
55a288e5 | 1014 | return kTRUE; |
55a288e5 | 1015 | } |
55a288e5 | 1016 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 1017 | Bool_t AliTRDCalibraFit::AnalysePRF(AliTRDCalibraVector *calvect) |
55a288e5 | 1018 | { |
1019 | // | |
3a0f6479 | 1020 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for |
1021 | // each calibration group | |
55a288e5 | 1022 | // Fit with a gaussian to reconstruct the sigma of the pad response function |
55a288e5 | 1023 | // |
1024 | ||
3a0f6479 | 1025 | // Set the calibra mode |
4c865c34 | 1026 | //const char *name = calvect->GetNamePRF(); |
1027 | TString name = calvect->GetNamePRF(); | |
64942b85 | 1028 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 1029 | //printf("test0 %s\n",name); |
55a288e5 | 1030 | |
1031 | // Number of Xbins (detectors or groups of pads) | |
3a0f6479 | 1032 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { |
1033 | //printf("test1\n"); | |
1034 | return kFALSE; | |
1035 | } | |
1036 | if (!InitFitPRF()) { | |
1037 | ///printf("test2\n"); | |
55a288e5 | 1038 | return kFALSE; |
1039 | } | |
1040 | fStatisticMean = 0.0; | |
1041 | fNumberFit = 0; | |
1042 | fNumberFitSuccess = 0; | |
1043 | fNumberEnt = 0; | |
55a288e5 | 1044 | // Init fCountDet and fCount |
1045 | InitfCountDetAndfCount(2); | |
55a288e5 | 1046 | // Beginning of the loop |
3a0f6479 | 1047 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
1048 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........ | |
55a288e5 | 1049 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 1050 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 1051 | // Take the histo |
3a0f6479 | 1052 | fEntriesCurrent = 0; |
e526983e | 1053 | if(!calvect->GetPRFEntries(fCountDet)) { |
1054 | NotEnoughStatisticPRF(idect); | |
1055 | continue; | |
3a0f6479 | 1056 | } |
e526983e | 1057 | TString tname("PRF"); |
1058 | tname += idect; | |
1059 | TH1F *projprf = calvect->CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname)),fEntriesCurrent); | |
1060 | projprf->SetDirectory(0); | |
1061 | if(fEntriesCurrent > 0) fNumberEnt++; | |
55a288e5 | 1062 | // This detector has not enough statistics or was off |
3a0f6479 | 1063 | if (fEntriesCurrent <= fMinEntries) { |
1064 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 1065 | continue; |
55a288e5 | 1066 | } |
3a0f6479 | 1067 | // Statistic of the histos fitted |
55a288e5 | 1068 | fNumberFit++; |
3a0f6479 | 1069 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 1070 | // Calcul of "real" coef |
3a0f6479 | 1071 | CalculPRFCoefMean(); |
1072 | //Method choosen | |
1073 | switch(fMethod) | |
1074 | { | |
1075 | case 1: FitPRF((TH1 *) projprf); break; | |
1076 | case 2: RmsPRF((TH1 *) projprf); break; | |
1077 | default: return kFALSE; | |
1078 | } | |
55a288e5 | 1079 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 1080 | FillInfosFitPRF(idect); |
55a288e5 | 1081 | } // Boucle object |
3a0f6479 | 1082 | // Mean Statistics |
55a288e5 | 1083 | if (fNumberFit > 0) { |
6245a86f | 1084 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %f over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Double_t) (fStatisticMean/fNumberFit),fNumberFitSuccess)); |
55a288e5 | 1085 | } |
1086 | else { | |
1087 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1088 | } | |
3a0f6479 | 1089 | delete fDebugStreamer; |
1090 | fDebugStreamer = 0x0; | |
55a288e5 | 1091 | return kTRUE; |
55a288e5 | 1092 | } |
55a288e5 | 1093 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 1094 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(AliTRDCalibraVector *calvect) |
55a288e5 | 1095 | { |
1096 | // | |
1097 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for | |
1098 | // each calibration group | |
1099 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 1100 | // |
1101 | ||
3a0f6479 | 1102 | // Set the calibra mode |
4c865c34 | 1103 | //const char *name = calvect->GetNamePRF(); |
1104 | TString name = calvect->GetNamePRF(); | |
64942b85 | 1105 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 1106 | //printf("test0 %s\n",name); |
1107 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
64942b85 | 1108 | //printf("test1 %d\n",nbg); |
3a0f6479 | 1109 | if(nbg == -1) return kFALSE; |
1110 | if(nbg > 0) fMethod = 1; | |
1111 | else fMethod = 0; | |
1112 | // Number of Xbins (detectors or groups of pads) | |
1113 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { | |
1114 | //printf("test2\n"); | |
55a288e5 | 1115 | return kFALSE; |
1116 | } | |
3a0f6479 | 1117 | if (!InitFitPRF()) { |
1118 | //printf("test3\n"); | |
55a288e5 | 1119 | return kFALSE; |
1120 | } | |
1121 | fStatisticMean = 0.0; | |
1122 | fNumberFit = 0; | |
1123 | fNumberFitSuccess = 0; | |
1124 | fNumberEnt = 0; | |
3a0f6479 | 1125 | // Variables |
1126 | Int_t nbins = 0; | |
1127 | Double_t *arrayx = 0; | |
1128 | Double_t *arraye = 0; | |
1129 | Double_t *arraym = 0; | |
1130 | Double_t *arrayme = 0; | |
1131 | Float_t lowedge = 0.0; | |
1132 | Float_t upedge = 0.0; | |
55a288e5 | 1133 | // Init fCountDet and fCount |
1134 | InitfCountDetAndfCount(2); | |
55a288e5 | 1135 | // Beginning of the loop |
3a0f6479 | 1136 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
1137 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
55a288e5 | 1138 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 1139 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 1140 | // Take the histo |
3a0f6479 | 1141 | fEntriesCurrent = 0; |
e526983e | 1142 | if(!calvect->GetPRFEntries(fCountDet)) { |
1143 | NotEnoughStatisticPRF(idect); | |
1144 | continue; | |
3a0f6479 | 1145 | } |
e526983e | 1146 | TString tname("PRF"); |
1147 | tname += idect; | |
1148 | TGraphErrors *projprftree = calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname); | |
1149 | nbins = projprftree->GetN(); | |
1150 | arrayx = (Double_t *)projprftree->GetX(); | |
1151 | arraye = (Double_t *)projprftree->GetEX(); | |
1152 | arraym = (Double_t *)projprftree->GetY(); | |
1153 | arrayme = (Double_t *)projprftree->GetEY(); | |
1154 | Float_t step = arrayx[1]-arrayx[0]; | |
1155 | lowedge = arrayx[0] - step/2.0; | |
1156 | upedge = arrayx[(nbins-1)] + step/2.0; | |
1157 | //printf("nbins est %d\n",nbins); | |
1158 | for(Int_t k = 0; k < nbins; k++){ | |
1159 | fEntriesCurrent += (Int_t)arraye[k]; | |
1160 | //printf("for %d we have %f, %f\n",k,arraye[k],((projprftree->GetEX())[k])); | |
1161 | if(arraye[k]>0.0) arrayme[k] = TMath::Sqrt(TMath::Abs(arrayme[k]-arraym[k]*arraym[k])/arraye[k]); | |
1162 | } | |
1163 | if(fEntriesCurrent > 0) fNumberEnt++; | |
3a0f6479 | 1164 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); |
1165 | // This detector has not enough statistics or was off | |
1166 | if (fEntriesCurrent <= fMinEntries) { | |
1167 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 1168 | continue; |
55a288e5 | 1169 | } |
55a288e5 | 1170 | // Statistic of the histos fitted |
55a288e5 | 1171 | fNumberFit++; |
1172 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1173 | // Calcul of "real" coef |
3a0f6479 | 1174 | CalculPRFCoefMean(); |
1175 | //Method choosen | |
1176 | switch(fMethod) | |
1177 | { | |
1178 | case 0: FitPRFGausMI(arraye,arraym,arrayme,nbins,lowedge,upedge); break; | |
1179 | case 1: FitTnpRange(arraye,arraym,arrayme,nbg,nbins); break; | |
1180 | default: return kFALSE; | |
1181 | } | |
55a288e5 | 1182 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 1183 | FillInfosFitPRF(idect); |
55a288e5 | 1184 | } // Boucle object |
55a288e5 | 1185 | // Mean Statistics |
1186 | if (fNumberFit > 0) { | |
6245a86f | 1187 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %f over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Double_t) (fStatisticMean/fNumberFit),fNumberFitSuccess)); |
55a288e5 | 1188 | } |
1189 | else { | |
1190 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1191 | } | |
3a0f6479 | 1192 | delete fDebugStreamer; |
1193 | fDebugStreamer = 0x0; | |
55a288e5 | 1194 | return kTRUE; |
55a288e5 | 1195 | } |
3a0f6479 | 1196 | //____________Functions fit Online CH2d________________________________________ |
1197 | Bool_t AliTRDCalibraFit::AnalyseLinearFitters(AliTRDCalibraVdriftLinearFit *calivdli) | |
55a288e5 | 1198 | { |
1199 | // | |
3a0f6479 | 1200 | // The linear method |
55a288e5 | 1201 | // |
1202 | ||
55a288e5 | 1203 | fStatisticMean = 0.0; |
1204 | fNumberFit = 0; | |
1205 | fNumberFitSuccess = 0; | |
1206 | fNumberEnt = 0; | |
3a0f6479 | 1207 | if(!InitFitLinearFitter()) return kFALSE; |
55a288e5 | 1208 | |
3a0f6479 | 1209 | |
1210 | for(Int_t idet = 0; idet < 540; idet++){ | |
55a288e5 | 1211 | |
55a288e5 | 1212 | |
3a0f6479 | 1213 | //printf("detector number %d\n",idet); |
55a288e5 | 1214 | |
3a0f6479 | 1215 | // Take the result |
1216 | TVectorD param(2); | |
1217 | TVectorD error(3); | |
6245a86f | 1218 | Double_t entriesCurrent = 0; |
3a0f6479 | 1219 | fCountDet = idet; |
1220 | Bool_t here = calivdli->GetParam(idet,¶m); | |
1221 | Bool_t heree = calivdli->GetError(idet,&error); | |
1222 | //printf("here %d and heree %d\n",here, heree); | |
1223 | if(heree) { | |
6245a86f | 1224 | entriesCurrent = error[2]; |
55a288e5 | 1225 | fNumberEnt++; |
55a288e5 | 1226 | } |
3a0f6479 | 1227 | //printf("Number of entries %d\n",fEntriesCurrent); |
1228 | // Nothing found or not enough statistic | |
6245a86f | 1229 | if((!heree) || (!here) || (entriesCurrent <= fMinEntries)) { |
3a0f6479 | 1230 | NotEnoughStatisticLinearFitter(); |
1231 | continue; | |
1232 | } | |
1233 | //param.Print(); | |
1234 | //error.Print(); | |
1235 | //Statistics | |
1236 | fNumberFit++; | |
6245a86f | 1237 | fStatisticMean += entriesCurrent; |
55a288e5 | 1238 | |
3a0f6479 | 1239 | // Check the fit |
6245a86f | 1240 | if((-(param[1])) <= 0.000001) { |
3a0f6479 | 1241 | NotEnoughStatisticLinearFitter(); |
1242 | continue; | |
1243 | } | |
55a288e5 | 1244 | |
3a0f6479 | 1245 | // CalculDatabaseVdriftandTan |
1246 | CalculVdriftLorentzCoef(); | |
840ec79d | 1247 | //printf("AliTRDCalibraFit::AnalyzeVdriftLinearFit detector %d, vdrift %f and %f and exB %f and %f\n",idet,fCalDetVdriftUsed->GetValue(idet),fCurrentCoef[1],fCalDetExBUsed->GetValue(idet),fCurrentCoef2[1]); |
55a288e5 | 1248 | |
3a0f6479 | 1249 | // Statistics |
1250 | fNumberFitSuccess ++; | |
55a288e5 | 1251 | |
3a0f6479 | 1252 | // Put the fCurrentCoef |
1253 | fCurrentCoef[0] = -param[1]; | |
1254 | // here the database must be the one of the reconstruction for the lorentz angle.... | |
1255 | fCurrentCoef2[0] = (param[0]+fCurrentCoef[1]*fCurrentCoef2[1])/fCurrentCoef[0]; | |
1256 | fCurrentCoefE = error[1]; | |
1257 | fCurrentCoefE2 = error[0]; | |
daa7dc79 | 1258 | if((TMath::Abs(fCurrentCoef2[0]) > 0.0000001) && (TMath::Abs(param[0]) > 0.0000001)){ |
3a0f6479 | 1259 | fCurrentCoefE2 = (fCurrentCoefE2/param[0]+fCurrentCoefE/fCurrentCoef[0])*fCurrentCoef2[0]; |
1260 | } | |
55a288e5 | 1261 | |
3a0f6479 | 1262 | // Fill |
1263 | FillInfosFitLinearFitter(); | |
55a288e5 | 1264 | |
55a288e5 | 1265 | |
55a288e5 | 1266 | } |
55a288e5 | 1267 | // Mean Statistics |
1268 | if (fNumberFit > 0) { | |
6245a86f | 1269 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %f over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Double_t) (fStatisticMean/fNumberFit),fNumberFitSuccess)); |
55a288e5 | 1270 | } |
1271 | else { | |
1272 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1273 | } | |
3a0f6479 | 1274 | delete fDebugStreamer; |
1275 | fDebugStreamer = 0x0; | |
55a288e5 | 1276 | return kTRUE; |
1277 | ||
a0bb5615 | 1278 | } |
1279 | //______________________________________________________________________________________ | |
1280 | Bool_t AliTRDCalibraFit::AnalyseExbAltFit(AliTRDCalibraExbAltFit *calivdli) | |
1281 | { | |
1282 | // | |
1283 | // The linear method | |
1284 | // | |
1285 | ||
1286 | fStatisticMean = 0.0; | |
1287 | fNumberFit = 0; | |
1288 | fNumberFitSuccess = 0; | |
1289 | fNumberEnt = 0; | |
1290 | if(!InitFitExbAlt()) return kFALSE; | |
1291 | ||
1292 | ||
1293 | for(Int_t idet = 0; idet < 540; idet++){ | |
1294 | ||
1295 | ||
1296 | //printf("detector number %d\n",idet); | |
1297 | ||
1298 | // Take the result | |
1299 | TVectorD param(3); | |
1300 | TVectorD error(3); | |
6245a86f | 1301 | Double_t entriesCurrent = 0; |
a0bb5615 | 1302 | fCountDet = idet; |
1303 | Bool_t here = calivdli->GetParam(idet,¶m); | |
1304 | Bool_t heree = calivdli->GetError(idet,&error); | |
1305 | //printf("here %d and heree %d\n",here, heree); | |
1306 | if(heree) { | |
6245a86f | 1307 | entriesCurrent = error[2]; |
a0bb5615 | 1308 | fNumberEnt++; |
1309 | } | |
1310 | //printf("Number of entries %d\n",fEntriesCurrent); | |
1311 | // Nothing found or not enough statistic | |
6245a86f | 1312 | if((!heree) || (!here) || (entriesCurrent <= fMinEntries)) { |
a0bb5615 | 1313 | NotEnoughStatisticExbAlt(); |
1314 | continue; | |
1315 | } | |
1316 | //param.Print(); | |
1317 | //error.Print(); | |
1318 | //Statistics | |
1319 | fNumberFit++; | |
6245a86f | 1320 | fStatisticMean += entriesCurrent; |
a0bb5615 | 1321 | |
1322 | // Statistics | |
1323 | fNumberFitSuccess ++; | |
1324 | ||
1325 | // Put the fCurrentCoef | |
1326 | if(TMath::Abs(param[2])>0.0001){ | |
1327 | fCurrentCoef2[0] = -param[1]/2/param[2]; | |
1328 | fCurrentCoefE2 = 0;//error[1]; | |
1329 | }else{ | |
1330 | fCurrentCoef2[0] = 100; | |
1331 | fCurrentCoefE2 = 0;//error[1]; | |
1332 | } | |
1333 | ||
1334 | // Fill | |
1335 | FillInfosFitExbAlt(); | |
1336 | ||
1337 | } | |
1338 | // Mean Statistics | |
1339 | if (fNumberFit > 0) { | |
6245a86f | 1340 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %f over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Double_t) (fStatisticMean/fNumberFit),fNumberFitSuccess)); |
a0bb5615 | 1341 | } |
1342 | else { | |
1343 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1344 | } | |
1345 | delete fDebugStreamer; | |
1346 | fDebugStreamer = 0x0; | |
1347 | return kTRUE; | |
1348 | ||
54f2ff1c | 1349 | } |
1350 | //____________Functions fit Online CH2d________________________________________ | |
840ec79d | 1351 | void AliTRDCalibraFit::AnalyseLinearFittersAllTogether(AliTRDCalibraVdriftLinearFit *calivdli, Double_t &vdriftoverall, Double_t &exboverall) |
54f2ff1c | 1352 | { |
1353 | // | |
1354 | // The linear method | |
1355 | // | |
1356 | ||
840ec79d | 1357 | // Get the mean vdrift and exb used |
1358 | Double_t meanvdriftused = 0.0; | |
1359 | Double_t meanexbused = 0.0; | |
1360 | Double_t counterdet = 0.0; | |
1361 | if((!fCalDetVdriftUsed) || (!fCalDetExBUsed)) { | |
1362 | vdriftoverall = -100.0; | |
1363 | exboverall = 100.0; | |
1364 | return; | |
1365 | } | |
1366 | ||
54f2ff1c | 1367 | // Add histos |
1368 | ||
1369 | TH2S *linearfitterhisto = 0x0; | |
1370 | ||
1371 | for(Int_t idet = 0; idet < 540; idet++){ | |
1372 | ||
1373 | TH2S * u = calivdli->GetLinearFitterHistoForce(idet); | |
840ec79d | 1374 | Double_t detectorentries = u->Integral(); |
1375 | meanvdriftused += fCalDetVdriftUsed->GetValue(idet)*detectorentries; | |
1376 | meanexbused += fCalDetExBUsed->GetValue(idet)*detectorentries; | |
1377 | counterdet += detectorentries; | |
1378 | ||
1379 | //printf("detectorentries %f\n",detectorentries); | |
1380 | ||
1381 | //printf("AliTRDCalibraFit::AnalyzeVdriftLinearFitsAllTogether detector %d, vdrift %f and exB %f\n",idet,fCalDetVdriftUsed->GetValue(idet),fCalDetExBUsed->GetValue(idet)); | |
1382 | ||
54f2ff1c | 1383 | if(idet == 0) linearfitterhisto = u; |
1384 | else linearfitterhisto->Add(u); | |
1385 | ||
1386 | } | |
840ec79d | 1387 | if(counterdet > 0.0){ |
1388 | meanvdriftused = meanvdriftused/counterdet; | |
1389 | meanexbused = meanexbused/counterdet; | |
1390 | } | |
1391 | else { | |
1392 | vdriftoverall = -100.0; | |
1393 | exboverall = 100.0; | |
1394 | return; | |
1395 | } | |
1396 | ||
1397 | ||
1398 | //printf("AliTRDCalibraFit::AnalyzeVdriftLinearFitsAllTogether MEAN vdrift %f and exB %f\n",meanvdriftused,meanexbused); | |
54f2ff1c | 1399 | |
1400 | // Fit | |
1401 | ||
6245a86f | 1402 | Double_t entries = 0; |
54f2ff1c | 1403 | TAxis *xaxis = linearfitterhisto->GetXaxis(); |
1404 | TAxis *yaxis = linearfitterhisto->GetYaxis(); | |
1405 | TLinearFitter linearfitter = TLinearFitter(2,"pol1"); | |
1406 | //printf("test\n"); | |
1407 | Double_t integral = linearfitterhisto->Integral(); | |
1408 | //printf("Integral is %f\n",integral); | |
1409 | Bool_t securitybreaking = kFALSE; | |
1410 | if(TMath::Abs(integral-1199) < 0.00001) securitybreaking = kTRUE; | |
1411 | for(Int_t ibinx = 0; ibinx < linearfitterhisto->GetNbinsX(); ibinx++){ | |
1412 | for(Int_t ibiny = 0; ibiny < linearfitterhisto->GetNbinsY(); ibiny++){ | |
1413 | if(linearfitterhisto->GetBinContent(ibinx+1,ibiny+1)>0){ | |
1414 | Double_t x = xaxis->GetBinCenter(ibinx+1); | |
1415 | Double_t y = yaxis->GetBinCenter(ibiny+1); | |
1416 | ||
1417 | for(Int_t k = 0; k < (Int_t)linearfitterhisto->GetBinContent(ibinx+1,ibiny+1); k++){ | |
1418 | if(!securitybreaking){ | |
1419 | linearfitter.AddPoint(&x,y); | |
6245a86f | 1420 | entries = entries+1.; |
54f2ff1c | 1421 | } |
1422 | else { | |
6245a86f | 1423 | if(entries< 1198.0){ |
54f2ff1c | 1424 | linearfitter.AddPoint(&x,y); |
6245a86f | 1425 | entries = entries + 1.; |
54f2ff1c | 1426 | } |
1427 | } | |
1428 | } | |
1429 | ||
1430 | } | |
1431 | } | |
1432 | } | |
1433 | ||
b88b6bcc | 1434 | //printf("AnalyseLinearFittersAllTogether::Find %d entries\n",entries); |
1435 | //printf("Minstats %d\n",fMinEntries); | |
54f2ff1c | 1436 | |
840ec79d | 1437 | |
1438 | ||
1439 | // Eval the linear fitter | |
54f2ff1c | 1440 | if(entries > fMinEntries){ |
1441 | TVectorD par = TVectorD(2); | |
1442 | //printf("Fit\n"); | |
1443 | if((linearfitter.EvalRobust(0.8)==0)) { | |
1444 | //printf("Take the param\n"); | |
1445 | linearfitter.GetParameters(par); | |
1446 | //printf("Done\n"); | |
840ec79d | 1447 | //par.Print(); |
54f2ff1c | 1448 | //printf("Finish\n"); |
1449 | // Put the fCurrentCoef | |
1450 | fCurrentCoef[0] = -par[1]; | |
1451 | // here the database must be the one of the reconstruction for the lorentz angle.... | |
6245a86f | 1452 | if(fCurrentCoef[0] > 0.00001) fCurrentCoef2[0] = (par[0]+meanvdriftused*meanexbused)/fCurrentCoef[0]; |
840ec79d | 1453 | else fCurrentCoef2[0] = 100.0; |
1454 | ||
1455 | } | |
1456 | else { | |
1457 | ||
1458 | fCurrentCoef[0] = -100.0; | |
1459 | fCurrentCoef2[0] = 100.0; | |
54f2ff1c | 1460 | |
54f2ff1c | 1461 | } |
54f2ff1c | 1462 | |
1463 | ||
1464 | } | |
1465 | else { | |
840ec79d | 1466 | |
1467 | fCurrentCoef[0] = -100.0; | |
1468 | fCurrentCoef2[0] = 100.0; | |
1469 | ||
54f2ff1c | 1470 | } |
1471 | ||
840ec79d | 1472 | vdriftoverall = fCurrentCoef[0]; |
1473 | exboverall = fCurrentCoef2[0]; | |
1474 | ||
1475 | ||
54f2ff1c | 1476 | delete linearfitterhisto; |
1477 | delete fDebugStreamer; | |
1478 | fDebugStreamer = 0x0; | |
1479 | ||
55a288e5 | 1480 | } |
55a288e5 | 1481 | //____________Functions for seeing if the pad is really okey___________________ |
3a0f6479 | 1482 | //_____________________________________________________________________________ |
4c865c34 | 1483 | Int_t AliTRDCalibraFit::GetNumberOfGroupsPRF(TString nametitle) |
3a0f6479 | 1484 | { |
1485 | // | |
1486 | // Get numberofgroupsprf | |
1487 | // | |
1488 | ||
1489 | // Some patterns | |
1490 | const Char_t *pattern0 = "Ngp0"; | |
1491 | const Char_t *pattern1 = "Ngp1"; | |
1492 | const Char_t *pattern2 = "Ngp2"; | |
1493 | const Char_t *pattern3 = "Ngp3"; | |
1494 | const Char_t *pattern4 = "Ngp4"; | |
1495 | const Char_t *pattern5 = "Ngp5"; | |
1496 | const Char_t *pattern6 = "Ngp6"; | |
1497 | ||
1498 | // Nrphi mode | |
4c865c34 | 1499 | if (strstr(nametitle.Data(),pattern0)) { |
3a0f6479 | 1500 | return 0; |
1501 | } | |
4c865c34 | 1502 | if (strstr(nametitle.Data(),pattern1)) { |
3a0f6479 | 1503 | return 1; |
1504 | } | |
4c865c34 | 1505 | if (strstr(nametitle.Data(),pattern2)) { |
3a0f6479 | 1506 | return 2; |
1507 | } | |
4c865c34 | 1508 | if (strstr(nametitle.Data(),pattern3)) { |
3a0f6479 | 1509 | return 3; |
1510 | } | |
4c865c34 | 1511 | if (strstr(nametitle.Data(),pattern4)) { |
3a0f6479 | 1512 | return 4; |
1513 | } | |
4c865c34 | 1514 | if (strstr(nametitle.Data(),pattern5)) { |
3a0f6479 | 1515 | return 5; |
1516 | } | |
4c865c34 | 1517 | if (strstr(nametitle.Data(),pattern6)){ |
3a0f6479 | 1518 | return 6; |
1519 | } | |
1520 | else return -1; | |
1521 | ||
55a288e5 | 1522 | |
3a0f6479 | 1523 | } |
55a288e5 | 1524 | //_____________________________________________________________________________ |
4c865c34 | 1525 | Bool_t AliTRDCalibraFit::SetModeCalibration(TString name, Int_t i) |
55a288e5 | 1526 | { |
1527 | // | |
1528 | // Set fNz[i] and fNrphi[i] of the AliTRDCalibraFit::Instance() | |
3a0f6479 | 1529 | // corresponding to the given name |
55a288e5 | 1530 | // |
1531 | ||
3a0f6479 | 1532 | if(!SetNzFromTObject(name,i)) return kFALSE; |
1533 | if(!SetNrphiFromTObject(name,i)) return kFALSE; | |
1534 | ||
1535 | return kTRUE; | |
55a288e5 | 1536 | |
3a0f6479 | 1537 | } |
1538 | //_____________________________________________________________________________ | |
4c865c34 | 1539 | Bool_t AliTRDCalibraFit::SetNrphiFromTObject(TString name, Int_t i) |
3a0f6479 | 1540 | { |
1541 | // | |
1542 | // Set fNrphi[i] of the AliTRDCalibraFit::Instance() | |
1543 | // corresponding to the given TObject | |
1544 | // | |
1545 | ||
55a288e5 | 1546 | // Some patterns |
55a288e5 | 1547 | const Char_t *patternrphi0 = "Nrphi0"; |
1548 | const Char_t *patternrphi1 = "Nrphi1"; | |
1549 | const Char_t *patternrphi2 = "Nrphi2"; | |
1550 | const Char_t *patternrphi3 = "Nrphi3"; | |
1551 | const Char_t *patternrphi4 = "Nrphi4"; | |
1552 | const Char_t *patternrphi5 = "Nrphi5"; | |
1553 | const Char_t *patternrphi6 = "Nrphi6"; | |
1554 | ||
64942b85 | 1555 | |
1556 | const Char_t *patternrphi10 = "Nrphi10"; | |
1557 | const Char_t *patternrphi100 = "Nrphi100"; | |
1558 | const Char_t *patternz10 = "Nz10"; | |
1559 | const Char_t *patternz100 = "Nz100"; | |
1560 | ||
55a288e5 | 1561 | // Nrphi mode |
4c865c34 | 1562 | if ((strstr(name.Data(),patternrphi100)) && (strstr(name.Data(),patternz100))) { |
64942b85 | 1563 | fCalibraMode->SetAllTogether(i); |
1564 | fNbDet = 540; | |
1565 | if (fDebugLevel > 1) { | |
1566 | AliInfo(Form("fNbDet %d and 100",fNbDet)); | |
1567 | } | |
1568 | return kTRUE; | |
1569 | } | |
4c865c34 | 1570 | if ((strstr(name.Data(),patternrphi10)) && (strstr(name.Data(),patternz10))) { |
64942b85 | 1571 | fCalibraMode->SetPerSuperModule(i); |
1572 | fNbDet = 30; | |
1573 | if (fDebugLevel > 1) { | |
1574 | AliInfo(Form("fNDet %d and 100",fNbDet)); | |
1575 | } | |
1576 | return kTRUE; | |
1577 | } | |
1578 | ||
4c865c34 | 1579 | if (strstr(name.Data(),patternrphi0)) { |
55a288e5 | 1580 | fCalibraMode->SetNrphi(i ,0); |
64942b85 | 1581 | if (fDebugLevel > 1) { |
1582 | AliInfo(Form("fNbDet %d and 0",fNbDet)); | |
1583 | } | |
3a0f6479 | 1584 | return kTRUE; |
55a288e5 | 1585 | } |
4c865c34 | 1586 | if (strstr(name.Data(),patternrphi1)) { |
55a288e5 | 1587 | fCalibraMode->SetNrphi(i, 1); |
64942b85 | 1588 | if (fDebugLevel > 1) { |
1589 | AliInfo(Form("fNbDet %d and 1",fNbDet)); | |
1590 | } | |
3a0f6479 | 1591 | return kTRUE; |
55a288e5 | 1592 | } |
4c865c34 | 1593 | if (strstr(name.Data(),patternrphi2)) { |
55a288e5 | 1594 | fCalibraMode->SetNrphi(i, 2); |
64942b85 | 1595 | if (fDebugLevel > 1) { |
1596 | AliInfo(Form("fNbDet %d and 2",fNbDet)); | |
1597 | } | |
3a0f6479 | 1598 | return kTRUE; |
55a288e5 | 1599 | } |
4c865c34 | 1600 | if (strstr(name.Data(),patternrphi3)) { |
55a288e5 | 1601 | fCalibraMode->SetNrphi(i, 3); |
64942b85 | 1602 | if (fDebugLevel > 1) { |
1603 | AliInfo(Form("fNbDet %d and 3",fNbDet)); | |
1604 | } | |
3a0f6479 | 1605 | return kTRUE; |
55a288e5 | 1606 | } |
4c865c34 | 1607 | if (strstr(name.Data(),patternrphi4)) { |
55a288e5 | 1608 | fCalibraMode->SetNrphi(i, 4); |
64942b85 | 1609 | if (fDebugLevel > 1) { |
1610 | AliInfo(Form("fNbDet %d and 4",fNbDet)); | |
1611 | } | |
3a0f6479 | 1612 | return kTRUE; |
55a288e5 | 1613 | } |
4c865c34 | 1614 | if (strstr(name.Data(),patternrphi5)) { |
55a288e5 | 1615 | fCalibraMode->SetNrphi(i, 5); |
64942b85 | 1616 | if (fDebugLevel > 1) { |
1617 | AliInfo(Form("fNbDet %d and 5",fNbDet)); | |
1618 | } | |
3a0f6479 | 1619 | return kTRUE; |
55a288e5 | 1620 | } |
4c865c34 | 1621 | if (strstr(name.Data(),patternrphi6)) { |
55a288e5 | 1622 | fCalibraMode->SetNrphi(i, 6); |
64942b85 | 1623 | if (fDebugLevel > 1) { |
1624 | AliInfo(Form("fNbDet %d and 6",fNbDet)); | |
1625 | } | |
55a288e5 | 1626 | return kTRUE; |
1627 | } | |
55a288e5 | 1628 | |
64942b85 | 1629 | if (fDebugLevel > 1) { |
1630 | AliInfo(Form("fNbDet %d and rest",fNbDet)); | |
1631 | } | |
3a0f6479 | 1632 | fCalibraMode->SetNrphi(i ,0); |
1633 | return kFALSE; | |
64942b85 | 1634 | |
55a288e5 | 1635 | } |
55a288e5 | 1636 | //_____________________________________________________________________________ |
4c865c34 | 1637 | Bool_t AliTRDCalibraFit::SetNzFromTObject(TString name, Int_t i) |
55a288e5 | 1638 | { |
1639 | // | |
3a0f6479 | 1640 | // Set fNz[i] of the AliTRDCalibraFit::Instance() |
1641 | // corresponding to the given TObject | |
55a288e5 | 1642 | // |
3a0f6479 | 1643 | |
1644 | // Some patterns | |
1645 | const Char_t *patternz0 = "Nz0"; | |
1646 | const Char_t *patternz1 = "Nz1"; | |
1647 | const Char_t *patternz2 = "Nz2"; | |
1648 | const Char_t *patternz3 = "Nz3"; | |
1649 | const Char_t *patternz4 = "Nz4"; | |
64942b85 | 1650 | |
1651 | const Char_t *patternrphi10 = "Nrphi10"; | |
1652 | const Char_t *patternrphi100 = "Nrphi100"; | |
1653 | const Char_t *patternz10 = "Nz10"; | |
1654 | const Char_t *patternz100 = "Nz100"; | |
1655 | ||
4c865c34 | 1656 | if ((strstr(name.Data(),patternrphi100)) && (strstr(name.Data(),patternz100))) { |
64942b85 | 1657 | fCalibraMode->SetAllTogether(i); |
1658 | fNbDet = 540; | |
1659 | if (fDebugLevel > 1) { | |
1660 | AliInfo(Form("fNbDet %d and 100",fNbDet)); | |
1661 | } | |
1662 | return kTRUE; | |
1663 | } | |
4c865c34 | 1664 | if ((strstr(name.Data(),patternrphi10)) && (strstr(name.Data(),patternz10))) { |
64942b85 | 1665 | fCalibraMode->SetPerSuperModule(i); |
1666 | fNbDet = 30; | |
1667 | if (fDebugLevel > 1) { | |
1668 | AliInfo(Form("fNbDet %d and 10",fNbDet)); | |
1669 | } | |
1670 | return kTRUE; | |
1671 | } | |
4c865c34 | 1672 | if (strstr(name.Data(),patternz0)) { |
3a0f6479 | 1673 | fCalibraMode->SetNz(i, 0); |
64942b85 | 1674 | if (fDebugLevel > 1) { |
1675 | AliInfo(Form("fNbDet %d and 0",fNbDet)); | |
1676 | } | |
3a0f6479 | 1677 | return kTRUE; |
55a288e5 | 1678 | } |
4c865c34 | 1679 | if (strstr(name.Data(),patternz1)) { |
3a0f6479 | 1680 | fCalibraMode->SetNz(i ,1); |
64942b85 | 1681 | if (fDebugLevel > 1) { |
1682 | AliInfo(Form("fNbDet %d and 1",fNbDet)); | |
1683 | } | |
3a0f6479 | 1684 | return kTRUE; |
55a288e5 | 1685 | } |
4c865c34 | 1686 | if (strstr(name.Data(),patternz2)) { |
3a0f6479 | 1687 | fCalibraMode->SetNz(i ,2); |
64942b85 | 1688 | if (fDebugLevel > 1) { |
1689 | AliInfo(Form("fNbDet %d and 2",fNbDet)); | |
1690 | } | |
3a0f6479 | 1691 | return kTRUE; |
55a288e5 | 1692 | } |
4c865c34 | 1693 | if (strstr(name.Data(),patternz3)) { |
3a0f6479 | 1694 | fCalibraMode->SetNz(i ,3); |
64942b85 | 1695 | if (fDebugLevel > 1) { |
1696 | AliInfo(Form("fNbDet %d and 3",fNbDet)); | |
1697 | } | |
3a0f6479 | 1698 | return kTRUE; |
55a288e5 | 1699 | } |
4c865c34 | 1700 | if (strstr(name.Data(),patternz4)) { |
3a0f6479 | 1701 | fCalibraMode->SetNz(i ,4); |
64942b85 | 1702 | if (fDebugLevel > 1) { |
1703 | AliInfo(Form("fNbDet %d and 4",fNbDet)); | |
1704 | } | |
3a0f6479 | 1705 | return kTRUE; |
55a288e5 | 1706 | } |
64942b85 | 1707 | |
1708 | if (fDebugLevel > 1) { | |
1709 | AliInfo(Form("fNbDet %d and rest",fNbDet)); | |
1710 | } | |
3a0f6479 | 1711 | fCalibraMode->SetNz(i ,0); |
1712 | return kFALSE; | |
1713 | } | |
64942b85 | 1714 | //______________________________________________________________________ |
6aafa7ea | 1715 | void AliTRDCalibraFit::RemoveOutliers(Int_t type, Bool_t perdetector){ |
1716 | // | |
1717 | // Remove the results too far from the mean value and rms | |
1718 | // type: 0 gain, 1 vdrift | |
1719 | // perdetector | |
1720 | // | |
1721 | ||
1722 | Int_t loop = (Int_t) fVectorFit.GetEntriesFast(); | |
1723 | if(loop != 540) { | |
1724 | AliInfo("The Vector Fit is not complete!"); | |
1725 | return; | |
1726 | } | |
1727 | Int_t detector = -1; | |
81f82b26 | 1728 | // Coverity |
1729 | //Int_t sector = -1; | |
6aafa7ea | 1730 | Float_t value = 0.0; |
1731 | ||
1732 | ///////////////////////////////// | |
1733 | // Calculate the mean values | |
1734 | //////////////////////////////// | |
1735 | // Initialisation | |
1736 | //////////////////////// | |
1737 | Double_t meanAll = 0.0; | |
4f3bd513 | 1738 | Double_t rmsAll = 0.0; |
1739 | Int_t countAll = 0; | |
1740 | //////////// | |
6aafa7ea | 1741 | // compute |
1742 | //////////// | |
1743 | for (Int_t k = 0; k < loop; k++) { | |
1744 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
81f82b26 | 1745 | // Coverity |
1746 | //sector = GetSector(detector); | |
6aafa7ea | 1747 | if(perdetector){ |
1748 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[0]; | |
1749 | if(value > 0.0) { | |
1750 | rmsAll += value*value; | |
1751 | meanAll += value; | |
1752 | countAll++; | |
1753 | } | |
1754 | } | |
1755 | else { | |
1756 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1757 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1758 | for (Int_t row = 0; row < rowMax; row++) { | |
1759 | for (Int_t col = 0; col < colMax; col++) { | |
1760 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1761 | if(value > 0.0) { | |
1762 | rmsAll += value*value; | |
1763 | meanAll += value; | |
1764 | countAll++; | |
1765 | } | |
1766 | ||
1767 | } // Col | |
1768 | } // Row | |
1769 | } | |
1770 | } | |
1771 | if(countAll > 0) { | |
1772 | meanAll = meanAll/countAll; | |
1773 | rmsAll = TMath::Sqrt(TMath::Abs(rmsAll/countAll - (meanAll*meanAll))); | |
1774 | } | |
1775 | //printf("RemoveOutliers: meanAll %f and rmsAll %f\n",meanAll,rmsAll); | |
1776 | ///////////////////////////////////////////////// | |
1777 | // Remove outliers | |
1778 | //////////////////////////////////////////////// | |
1779 | Double_t defaultvalue = -1.0; | |
1780 | if(type==1) defaultvalue = -1.5; | |
1781 | for (Int_t k = 0; k < loop; k++) { | |
1782 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
81f82b26 | 1783 | // Coverity |
1784 | //sector = GetSector(detector); | |
6aafa7ea | 1785 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
1786 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1787 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
1788 | ||
1789 | // remove the results too far away | |
1790 | for (Int_t row = 0; row < rowMax; row++) { | |
1791 | for (Int_t col = 0; col < colMax; col++) { | |
1792 | value = coef[(Int_t)(col*rowMax+row)]; | |
1793 | if((value > 0.0) && (rmsAll > 0.0) && (TMath::Abs(value-meanAll) > (2*rmsAll))) { | |
1794 | coef[(Int_t)(col*rowMax+row)] = defaultvalue; | |
1795 | } | |
1796 | } // Col | |
1797 | } // Row | |
1798 | } | |
1799 | } | |
1800 | //______________________________________________________________________ | |
1801 | void AliTRDCalibraFit::RemoveOutliers2(Bool_t perdetector){ | |
1802 | // | |
1803 | // Remove the results too far from the mean and rms | |
1804 | // perdetector | |
1805 | // | |
1806 | ||
1807 | Int_t loop = (Int_t) fVectorFit2.GetEntriesFast(); | |
1808 | if(loop != 540) { | |
1809 | AliInfo("The Vector Fit is not complete!"); | |
1810 | return; | |
1811 | } | |
1812 | Int_t detector = -1; | |
81f82b26 | 1813 | // Coverity |
1814 | //Int_t sector = -1; | |
6aafa7ea | 1815 | Float_t value = 0.0; |
1816 | ||
1817 | ///////////////////////////////// | |
1818 | // Calculate the mean values | |
1819 | //////////////////////////////// | |
1820 | // Initialisation | |
1821 | //////////////////////// | |
1822 | Double_t meanAll = 0.0; | |
1823 | Double_t rmsAll = 0.0; | |
1824 | Int_t countAll = 0; | |
1825 | ///////////// | |
1826 | // compute | |
1827 | //////////// | |
1828 | for (Int_t k = 0; k < loop; k++) { | |
1829 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
81f82b26 | 1830 | // Coverity |
1831 | //sector = GetSector(detector); | |
6aafa7ea | 1832 | if(perdetector){ |
1833 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[0]; | |
1834 | if(value < 70.0) { | |
1835 | meanAll += value; | |
1836 | rmsAll += value*value; | |
1837 | countAll++; | |
1838 | } | |
1839 | } | |
1840 | else { | |
1841 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1842 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1843 | for (Int_t row = 0; row < rowMax; row++) { | |
1844 | for (Int_t col = 0; col < colMax; col++) { | |
1845 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1846 | if(value < 70.0) { | |
1847 | rmsAll += value*value; | |
1848 | meanAll += value; | |
1849 | countAll++; | |
1850 | } | |
1851 | } // Col | |
1852 | } // Row | |
1853 | } | |
1854 | } | |
1855 | if(countAll > 0) { | |
1856 | meanAll = meanAll/countAll; | |
1857 | rmsAll = TMath::Sqrt(TMath::Abs(rmsAll/countAll - (meanAll*meanAll))); | |
1858 | } | |
1859 | //printf("Remove outliers 2: meanAll %f, rmsAll %f\n",meanAll,rmsAll); | |
1860 | ///////////////////////////////////////////////// | |
1861 | // Remove outliers | |
1862 | //////////////////////////////////////////////// | |
1863 | for (Int_t k = 0; k < loop; k++) { | |
1864 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
81f82b26 | 1865 | // Coverity |
1866 | //sector = GetSector(detector); | |
6aafa7ea | 1867 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
1868 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1869 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef(); | |
1870 | ||
1871 | // remove the results too far away | |
1872 | for (Int_t row = 0; row < rowMax; row++) { | |
1873 | for (Int_t col = 0; col < colMax; col++) { | |
1874 | value = coef[(Int_t)(col*rowMax+row)]; | |
b88b6bcc | 1875 | if((value < 70.0) && (rmsAll > 0.0) && (TMath::Abs(value-meanAll) > (2.5*rmsAll))) { |
1876 | //printf("value outlier %f\n",value); | |
1877 | coef[(Int_t)(col*rowMax+row)] = 100.0; | |
1878 | } | |
6aafa7ea | 1879 | } // Col |
1880 | } // Row | |
1881 | } | |
1882 | } | |
1883 | //______________________________________________________________________ | |
64942b85 | 1884 | void AliTRDCalibraFit::PutMeanValueOtherVectorFit(Int_t ofwhat, Bool_t perdetector){ |
1885 | // | |
1886 | // ofwhat is equaled to 0: mean value of all passing detectors | |
1887 | // ofwhat is equaled to 1: mean value of the detector, otherwise supermodule, otherwise all | |
1888 | // | |
1889 | ||
1890 | Int_t loop = (Int_t) fVectorFit.GetEntriesFast(); | |
1891 | if(loop != 540) { | |
1892 | AliInfo("The Vector Fit is not complete!"); | |
1893 | return; | |
1894 | } | |
1895 | Int_t detector = -1; | |
1896 | Int_t sector = -1; | |
1897 | Float_t value = 0.0; | |
1898 | ||
1899 | ///////////////////////////////// | |
1900 | // Calculate the mean values | |
1901 | //////////////////////////////// | |
1902 | // Initialisation | |
1903 | //////////////////////// | |
1904 | Double_t meanAll = 0.0; | |
1905 | Double_t meanSupermodule[18]; | |
1906 | Double_t meanDetector[540]; | |
6aafa7ea | 1907 | Double_t rmsAll = 0.0; |
1908 | Double_t rmsSupermodule[18]; | |
1909 | Double_t rmsDetector[540]; | |
64942b85 | 1910 | Int_t countAll = 0; |
1911 | Int_t countSupermodule[18]; | |
1912 | Int_t countDetector[540]; | |
1913 | for(Int_t sm = 0; sm < 18; sm++){ | |
6aafa7ea | 1914 | rmsSupermodule[sm] = 0.0; |
64942b85 | 1915 | meanSupermodule[sm] = 0.0; |
1916 | countSupermodule[sm] = 0; | |
1917 | } | |
1918 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1919 | rmsDetector[det] = 0.0; |
64942b85 | 1920 | meanDetector[det] = 0.0; |
1921 | countDetector[det] = 0; | |
1922 | } | |
6aafa7ea | 1923 | //////////// |
64942b85 | 1924 | // compute |
1925 | //////////// | |
1926 | for (Int_t k = 0; k < loop; k++) { | |
1927 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1928 | sector = GetSector(detector); | |
1929 | if(perdetector){ | |
1930 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[0]; | |
1931 | if(value > 0.0) { | |
6aafa7ea | 1932 | rmsDetector[detector] += value*value; |
64942b85 | 1933 | meanDetector[detector] += value; |
1934 | countDetector[detector]++; | |
6aafa7ea | 1935 | rmsSupermodule[sector] += value*value; |
64942b85 | 1936 | meanSupermodule[sector] += value; |
1937 | countSupermodule[sector]++; | |
6aafa7ea | 1938 | rmsAll += value*value; |
64942b85 | 1939 | meanAll += value; |
1940 | countAll++; | |
1941 | } | |
1942 | } | |
1943 | else { | |
1944 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1945 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1946 | for (Int_t row = 0; row < rowMax; row++) { | |
1947 | for (Int_t col = 0; col < colMax; col++) { | |
1948 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1949 | if(value > 0.0) { | |
6aafa7ea | 1950 | rmsDetector[detector] += value*value; |
64942b85 | 1951 | meanDetector[detector] += value; |
1952 | countDetector[detector]++; | |
6aafa7ea | 1953 | rmsSupermodule[sector] += value*value; |
64942b85 | 1954 | meanSupermodule[sector] += value; |
1955 | countSupermodule[sector]++; | |
6aafa7ea | 1956 | rmsAll += value*value; |
64942b85 | 1957 | meanAll += value; |
1958 | countAll++; | |
1959 | } | |
1960 | ||
1961 | } // Col | |
1962 | } // Row | |
1963 | } | |
1964 | } | |
6aafa7ea | 1965 | if(countAll > 0) { |
1966 | meanAll = meanAll/countAll; | |
1967 | rmsAll = TMath::Abs(rmsAll/countAll - (meanAll*meanAll)); | |
1968 | } | |
64942b85 | 1969 | for(Int_t sm = 0; sm < 18; sm++){ |
6aafa7ea | 1970 | if(countSupermodule[sm] > 0) { |
1971 | meanSupermodule[sm] = meanSupermodule[sm]/countSupermodule[sm]; | |
1972 | rmsSupermodule[sm] = TMath::Abs(rmsSupermodule[sm]/countSupermodule[sm] - (meanSupermodule[sm]*meanSupermodule[sm])); | |
1973 | } | |
64942b85 | 1974 | } |
1975 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1976 | if(countDetector[det] > 0) { |
1977 | meanDetector[det] = meanDetector[det]/countDetector[det]; | |
1978 | rmsDetector[det] = TMath::Abs(rmsDetector[det]/countDetector[det] - (meanDetector[det]*meanDetector[det])); | |
1979 | } | |
64942b85 | 1980 | } |
6aafa7ea | 1981 | //printf("Put mean value, meanAll %f, rmsAll %f\n",meanAll,rmsAll); |
1982 | /////////////////////////////////////////////// | |
64942b85 | 1983 | // Put the mean value for the no-fitted |
1984 | ///////////////////////////////////////////// | |
1985 | for (Int_t k = 0; k < loop; k++) { | |
1986 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1987 | sector = GetSector(detector); | |
1988 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1989 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1990 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
1991 | ||
1992 | for (Int_t row = 0; row < rowMax; row++) { | |
1993 | for (Int_t col = 0; col < colMax; col++) { | |
1994 | value = coef[(Int_t)(col*rowMax+row)]; | |
1995 | if(value < 0.0) { | |
6aafa7ea | 1996 | if((ofwhat == 0) && (meanAll > 0.0) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanAll); |
64942b85 | 1997 | if(ofwhat == 1){ |
6aafa7ea | 1998 | if((meanDetector[detector] > 0.0) && (countDetector[detector] > 20)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanDetector[detector]); |
1999 | else if((meanSupermodule[sector] > 0.0) && (countSupermodule[sector] > 15)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanSupermodule[sector]); | |
2000 | else if((meanAll > 0.0) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanAll); | |
64942b85 | 2001 | } |
2002 | } | |
2003 | // Debug | |
2004 | if(fDebugLevel > 1){ | |
2005 | ||
2006 | if ( !fDebugStreamer ) { | |
2007 | //debug stream | |
2008 | TDirectory *backup = gDirectory; | |
2009 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2010 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2011 | } | |
2012 | ||
2013 | Float_t coefnow = coef[(Int_t)(col*rowMax+row)]; | |
2014 | ||
2015 | (* fDebugStreamer) << "PutMeanValueOtherVectorFit"<< | |
2016 | "detector="<<detector<< | |
2017 | "sector="<<sector<< | |
2018 | "row="<<row<< | |
2019 | "col="<<col<< | |
2020 | "before="<<value<< | |
2021 | "after="<<coefnow<< | |
2022 | "\n"; | |
2023 | } | |
2024 | } // Col | |
2025 | } // Row | |
2026 | } | |
64942b85 | 2027 | } |
2028 | //______________________________________________________________________ | |
2029 | void AliTRDCalibraFit::PutMeanValueOtherVectorFit2(Int_t ofwhat, Bool_t perdetector){ | |
2030 | // | |
2031 | // ofwhat is equaled to 0: mean value of all passing detectors | |
2032 | // ofwhat is equaled to 1: mean value of the detector, otherwise supermodule, otherwise all | |
2033 | // | |
2034 | ||
2035 | Int_t loop = (Int_t) fVectorFit2.GetEntriesFast(); | |
2036 | if(loop != 540) { | |
2037 | AliInfo("The Vector Fit is not complete!"); | |
2038 | return; | |
2039 | } | |
2040 | Int_t detector = -1; | |
2041 | Int_t sector = -1; | |
2042 | Float_t value = 0.0; | |
2043 | ||
2044 | ///////////////////////////////// | |
2045 | // Calculate the mean values | |
2046 | //////////////////////////////// | |
2047 | // Initialisation | |
2048 | //////////////////////// | |
2049 | Double_t meanAll = 0.0; | |
6aafa7ea | 2050 | Double_t rmsAll = 0.0; |
64942b85 | 2051 | Double_t meanSupermodule[18]; |
6aafa7ea | 2052 | Double_t rmsSupermodule[18]; |
64942b85 | 2053 | Double_t meanDetector[540]; |
6aafa7ea | 2054 | Double_t rmsDetector[540]; |
64942b85 | 2055 | Int_t countAll = 0; |
2056 | Int_t countSupermodule[18]; | |
2057 | Int_t countDetector[540]; | |
2058 | for(Int_t sm = 0; sm < 18; sm++){ | |
6aafa7ea | 2059 | rmsSupermodule[sm] = 0.0; |
64942b85 | 2060 | meanSupermodule[sm] = 0.0; |
2061 | countSupermodule[sm] = 0; | |
2062 | } | |
2063 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 2064 | rmsDetector[det] = 0.0; |
64942b85 | 2065 | meanDetector[det] = 0.0; |
2066 | countDetector[det] = 0; | |
2067 | } | |
2068 | // compute | |
2069 | //////////// | |
2070 | for (Int_t k = 0; k < loop; k++) { | |
2071 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
2072 | sector = GetSector(detector); | |
2073 | if(perdetector){ | |
2074 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[0]; | |
2075 | if(value < 70.0) { | |
6aafa7ea | 2076 | rmsDetector[detector] += value*value; |
64942b85 | 2077 | meanDetector[detector] += value; |
2078 | countDetector[detector]++; | |
6aafa7ea | 2079 | rmsSupermodule[sector] += value*value; |
64942b85 | 2080 | meanSupermodule[sector] += value; |
2081 | countSupermodule[sector]++; | |
2082 | meanAll += value; | |
6aafa7ea | 2083 | rmsAll += value*value; |
64942b85 | 2084 | countAll++; |
2085 | } | |
2086 | } | |
2087 | else { | |
2088 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
2089 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
2090 | for (Int_t row = 0; row < rowMax; row++) { | |
2091 | for (Int_t col = 0; col < colMax; col++) { | |
2092 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2093 | if(value < 70.0) { | |
6aafa7ea | 2094 | rmsDetector[detector] += value*value; |
64942b85 | 2095 | meanDetector[detector] += value; |
2096 | countDetector[detector]++; | |
6aafa7ea | 2097 | rmsSupermodule[sector] += value*value; |
64942b85 | 2098 | meanSupermodule[sector] += value; |
2099 | countSupermodule[sector]++; | |
6aafa7ea | 2100 | rmsAll += value*value; |
64942b85 | 2101 | meanAll += value; |
2102 | countAll++; | |
2103 | } | |
2104 | ||
2105 | } // Col | |
2106 | } // Row | |
2107 | } | |
2108 | } | |
6aafa7ea | 2109 | if(countAll > 0) { |
2110 | meanAll = meanAll/countAll; | |
2111 | rmsAll = TMath::Abs(rmsAll/countAll - (meanAll*meanAll)); | |
2112 | } | |
64942b85 | 2113 | for(Int_t sm = 0; sm < 18; sm++){ |
6aafa7ea | 2114 | if(countSupermodule[sm] > 0) { |
2115 | meanSupermodule[sm] = meanSupermodule[sm]/countSupermodule[sm]; | |
2116 | rmsSupermodule[sm] = TMath::Abs(rmsSupermodule[sm]/countSupermodule[sm] - (meanSupermodule[sm]*meanSupermodule[sm])); | |
2117 | } | |
64942b85 | 2118 | } |
2119 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 2120 | if(countDetector[det] > 0) { |
2121 | meanDetector[det] = meanDetector[det]/countDetector[det]; | |
2122 | rmsDetector[det] = TMath::Abs(rmsDetector[det]/countDetector[det] - (meanDetector[det]*meanDetector[det])); | |
2123 | } | |
64942b85 | 2124 | } |
6aafa7ea | 2125 | //printf("Put mean value 2: meanAll %f, rmsAll %f\n",meanAll,rmsAll); |
2126 | //////////////////////////////////////////// | |
64942b85 | 2127 | // Put the mean value for the no-fitted |
2128 | ///////////////////////////////////////////// | |
2129 | for (Int_t k = 0; k < loop; k++) { | |
2130 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
2131 | sector = GetSector(detector); | |
2132 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
2133 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
2134 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef(); | |
2135 | ||
2136 | for (Int_t row = 0; row < rowMax; row++) { | |
2137 | for (Int_t col = 0; col < colMax; col++) { | |
2138 | value = coef[(Int_t)(col*rowMax+row)]; | |
2139 | if(value > 70.0) { | |
840ec79d | 2140 | if((ofwhat == 0) && (meanAll > -3.0) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = meanAll+100.0; |
64942b85 | 2141 | if(ofwhat == 1){ |
840ec79d | 2142 | if((meanDetector[detector] > -3.0) && (countDetector[detector] > 20)) coef[(Int_t)(col*rowMax+row)] = meanDetector[detector]+100.0; |
2143 | else if((meanSupermodule[sector] > -3.0) && (countSupermodule[sector] > 15)) coef[(Int_t)(col*rowMax+row)] = meanSupermodule[sector]+100.0; | |
2144 | else if((meanAll > -3.0) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = meanAll+100.0; | |
64942b85 | 2145 | } |
2146 | } | |
2147 | // Debug | |
2148 | if(fDebugLevel > 1){ | |
2149 | ||
2150 | if ( !fDebugStreamer ) { | |
2151 | //debug stream | |
2152 | TDirectory *backup = gDirectory; | |
2153 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2154 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2155 | } | |
2156 | ||
2157 | Float_t coefnow = coef[(Int_t)(col*rowMax+row)]; | |
2158 | ||
2159 | (* fDebugStreamer) << "PutMeanValueOtherVectorFit2"<< | |
2160 | "detector="<<detector<< | |
2161 | "sector="<<sector<< | |
2162 | "row="<<row<< | |
2163 | "col="<<col<< | |
2164 | "before="<<value<< | |
2165 | "after="<<coefnow<< | |
2166 | "\n"; | |
2167 | } | |
2168 | } // Col | |
2169 | } // Row | |
2170 | } | |
2171 | ||
2172 | } | |
3a0f6479 | 2173 | //_____________________________________________________________________________ |
979b168f | 2174 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectVdrift(const TObjArray *vectorFit, Bool_t perdetector) |
3a0f6479 | 2175 | { |
2176 | // | |
2177 | // It creates the AliTRDCalDet object from the AliTRDFitInfo | |
2178 | // It takes the mean value of the coefficients per detector | |
2179 | // This object has to be written in the database | |
2180 | // | |
55a288e5 | 2181 | |
3a0f6479 | 2182 | // Create the DetObject |
2183 | AliTRDCalDet *object = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
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; | |
64942b85 | 2189 | |
2190 | // | |
3a0f6479 | 2191 | for (Int_t k = 0; k < loop; k++) { |
2192 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2193 | Float_t mean = 0.0; | |
2194 | if(perdetector){ | |
2195 | mean = TMath::Abs(((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]); | |
55a288e5 | 2196 | } |
2197 | else { | |
3a0f6479 | 2198 | Int_t count = 0; |
053767a4 | 2199 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
2200 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 2201 | for (Int_t row = 0; row < rowMax; row++) { |
2202 | for (Int_t col = 0; col < colMax; col++) { | |
2203 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2204 | mean += TMath::Abs(value); | |
2205 | count++; | |
2206 | } // Col | |
2207 | } // Row | |
2208 | if(count > 0) mean = mean/count; | |
55a288e5 | 2209 | } |
2210 | object->SetValue(detector,mean); | |
2211 | } | |
3a0f6479 | 2212 | |
55a288e5 | 2213 | return object; |
55a288e5 | 2214 | } |
55a288e5 | 2215 | //_____________________________________________________________________________ |
979b168f | 2216 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectGain(const TObjArray *vectorFit, Bool_t meanOtherBefore, Double_t scaleFitFactor, Bool_t perdetector) |
55a288e5 | 2217 | { |
2218 | // | |
3a0f6479 | 2219 | // It creates the AliTRDCalDet object from the AliTRDFitInfo |
2220 | // It takes the mean value of the coefficients per detector | |
55a288e5 | 2221 | // This object has to be written in the database |
2222 | // | |
2223 | ||
2224 | // Create the DetObject | |
3a0f6479 | 2225 | AliTRDCalDet *object = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); |
55a288e5 | 2226 | |
54f2ff1c | 2227 | fScaleGain = scaleFitFactor; |
3a0f6479 | 2228 | |
2229 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2230 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2231 | Int_t detector = -1; | |
2232 | Float_t value = 0.0; | |
2233 | ||
2234 | for (Int_t k = 0; k < loop; k++) { | |
2235 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2236 | Float_t mean = 0.0; | |
2237 | if(perdetector){ | |
2238 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
64942b85 | 2239 | if(!meanOtherBefore){ |
2240 | if(value > 0) value = value*scaleFitFactor; | |
2241 | } | |
2242 | else value = value*scaleFitFactor; | |
3a0f6479 | 2243 | mean = TMath::Abs(value); |
2244 | } | |
2245 | else{ | |
2246 | Int_t count = 0; | |
053767a4 | 2247 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
2248 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 2249 | for (Int_t row = 0; row < rowMax; row++) { |
2250 | for (Int_t col = 0; col < colMax; col++) { | |
2251 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 2252 | if(!meanOtherBefore) { |
2253 | if(value > 0) value = value*scaleFitFactor; | |
2254 | } | |
2255 | else value = value*scaleFitFactor; | |
3a0f6479 | 2256 | mean += TMath::Abs(value); |
2257 | count++; | |
2258 | } // Col | |
2259 | } // Row | |
2260 | if(count > 0) mean = mean/count; | |
2261 | } | |
ba1aa7a7 | 2262 | if(mean < 0.1) mean = 0.1; |
3a0f6479 | 2263 | object->SetValue(detector,mean); |
55a288e5 | 2264 | } |
3a0f6479 | 2265 | |
2266 | return object; | |
2267 | } | |
2268 | //_____________________________________________________________________________ | |
979b168f | 2269 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectT0(const TObjArray *vectorFit, Bool_t perdetector) |
3a0f6479 | 2270 | { |
2271 | // | |
2272 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 | |
2273 | // It takes the min value of the coefficients per detector | |
2274 | // This object has to be written in the database | |
2275 | // | |
55a288e5 | 2276 | |
3a0f6479 | 2277 | // Create the DetObject |
2278 | AliTRDCalDet *object = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
55a288e5 | 2279 | |
3a0f6479 | 2280 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); |
2281 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2282 | Int_t detector = -1; | |
2283 | Float_t value = 0.0; | |
2284 | ||
2285 | for (Int_t k = 0; k < loop; k++) { | |
2286 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2287 | Float_t min = 100.0; | |
2288 | if(perdetector){ | |
64942b85 | 2289 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; |
b88b6bcc | 2290 | //printf("Create det object %f for %d\n",value,k); |
64942b85 | 2291 | // check successful |
2292 | if(value > 70.0) value = value-100.0; | |
2293 | // | |
2294 | min = value; | |
55a288e5 | 2295 | } |
3a0f6479 | 2296 | else{ |
053767a4 | 2297 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
2298 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 2299 | for (Int_t row = 0; row < rowMax; row++) { |
2300 | for (Int_t col = 0; col < colMax; col++) { | |
2301 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 2302 | // check successful |
2303 | if(value > 70.0) value = value-100.0; | |
2304 | // | |
3a0f6479 | 2305 | if(min > value) min = value; |
2306 | } // Col | |
2307 | } // Row | |
2308 | } | |
2309 | object->SetValue(detector,min); | |
55a288e5 | 2310 | } |
2311 | ||
2312 | return object; | |
2313 | ||
2314 | } | |
55a288e5 | 2315 | //_____________________________________________________________________________ |
979b168f | 2316 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectLorentzAngle(const TObjArray *vectorFit) |
55a288e5 | 2317 | { |
2318 | // | |
3a0f6479 | 2319 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 |
2320 | // It takes the min value of the coefficients per detector | |
55a288e5 | 2321 | // This object has to be written in the database |
2322 | // | |
2323 | ||
2324 | // Create the DetObject | |
3a0f6479 | 2325 | AliTRDCalDet *object = new AliTRDCalDet("tan(lorentzangle)","tan(lorentzangle) (detector value)"); |
2326 | ||
2327 | ||
2328 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2329 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2330 | Int_t detector = -1; | |
2331 | Float_t value = 0.0; | |
55a288e5 | 2332 | |
3a0f6479 | 2333 | for (Int_t k = 0; k < loop; k++) { |
2334 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2335 | /* | |
053767a4 | 2336 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
2337 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 2338 | Float_t min = 100.0; |
2339 | for (Int_t row = 0; row < rowMax; row++) { | |
2340 | for (Int_t col = 0; col < colMax; col++) { | |
2341 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2342 | mean += -TMath::Abs(value); | |
2343 | count++; | |
55a288e5 | 2344 | } // Col |
3a0f6479 | 2345 | } // Row |
2346 | if(count > 0) mean = mean/count; | |
2347 | */ | |
2348 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
840ec79d | 2349 | if(value > 70.0) value = value-100.0; |
2350 | object->SetValue(detector,value); | |
55a288e5 | 2351 | } |
2352 | ||
2353 | return object; | |
3a0f6479 | 2354 | |
a0bb5615 | 2355 | } |
2356 | //_____________________________________________________________________________ | |
2357 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectExbAlt(const TObjArray *vectorFit) | |
2358 | { | |
2359 | // | |
2360 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 | |
2361 | // It takes the min value of the coefficients per detector | |
2362 | // This object has to be written in the database | |
2363 | // | |
2364 | ||
2365 | // Create the DetObject | |
2366 | AliTRDCalDet *object = new AliTRDCalDet("tan(lorentzangle)","tan(lorentzangle) (detector value)"); | |
2367 | ||
2368 | ||
2369 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2370 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2371 | Int_t detector = -1; | |
2372 | Float_t value = 0.0; | |
2373 | ||
2374 | for (Int_t k = 0; k < loop; k++) { | |
2375 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2376 | /* | |
2377 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
2378 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
2379 | Float_t min = 100.0; | |
2380 | for (Int_t row = 0; row < rowMax; row++) { | |
2381 | for (Int_t col = 0; col < colMax; col++) { | |
2382 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2383 | mean += -TMath::Abs(value); | |
2384 | count++; | |
2385 | } // Col | |
2386 | } // Row | |
2387 | if(count > 0) mean = mean/count; | |
2388 | */ | |
2389 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
2390 | //if(value > 70.0) value = value-100.0; | |
2391 | object->SetValue(detector,value); | |
2392 | } | |
2393 | ||
2394 | return object; | |
2395 | ||
55a288e5 | 2396 | } |
55a288e5 | 2397 | //_____________________________________________________________________________ |
979b168f | 2398 | TObject *AliTRDCalibraFit::CreatePadObjectGain(const TObjArray *vectorFit, Double_t scaleFitFactor, const AliTRDCalDet *detobject) |
3a0f6479 | 2399 | { |
55a288e5 | 2400 | // |
3a0f6479 | 2401 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
2402 | // You need first to create the object for the detectors, | |
2403 | // where the mean value is put. | |
2404 | // This object has to be written in the database | |
55a288e5 | 2405 | // |
3a0f6479 | 2406 | |
2407 | // Create the DetObject | |
2408 | AliTRDCalPad *object = new AliTRDCalPad("GainFactor","GainFactor (local variations)"); | |
2409 | ||
2410 | if(!vectorFit){ | |
2411 | for(Int_t k = 0; k < 540; k++){ | |
2412 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2413 | Int_t nchannels = calROC->GetNchannels(); | |
2414 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2415 | calROC->SetValue(ch,1.0); | |
2416 | } | |
2417 | } | |
55a288e5 | 2418 | } |
3a0f6479 | 2419 | else{ |
2420 | ||
2421 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2422 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2423 | Int_t detector = -1; | |
2424 | Float_t value = 0.0; | |
2425 | ||
2426 | for (Int_t k = 0; k < loop; k++) { | |
2427 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2428 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2429 | Float_t mean = detobject->GetValue(detector); | |
daa7dc79 | 2430 | if(TMath::Abs(mean) <= 0.0000000001) continue; |
3a0f6479 | 2431 | Int_t rowMax = calROC->GetNrows(); |
2432 | Int_t colMax = calROC->GetNcols(); | |
2433 | for (Int_t row = 0; row < rowMax; row++) { | |
2434 | for (Int_t col = 0; col < colMax; col++) { | |
2435 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2436 | if(value > 0) value = value*scaleFitFactor; | |
2437 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
2438 | } // Col | |
2439 | } // Row | |
2440 | } | |
55a288e5 | 2441 | } |
2442 | ||
3a0f6479 | 2443 | return object; |
55a288e5 | 2444 | } |
55a288e5 | 2445 | //_____________________________________________________________________________ |
979b168f | 2446 | TObject *AliTRDCalibraFit::CreatePadObjectVdrift(const TObjArray *vectorFit, const AliTRDCalDet *detobject) |
3a0f6479 | 2447 | { |
55a288e5 | 2448 | // |
3a0f6479 | 2449 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
2450 | // You need first to create the object for the detectors, | |
2451 | // where the mean value is put. | |
2452 | // This object has to be written in the database | |
55a288e5 | 2453 | // |
2454 | ||
3a0f6479 | 2455 | // Create the DetObject |
2456 | AliTRDCalPad *object = new AliTRDCalPad("LocalVdrift","TRD drift velocities (local variations)"); | |
2457 | ||
2458 | if(!vectorFit){ | |
2459 | for(Int_t k = 0; k < 540; k++){ | |
2460 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2461 | Int_t nchannels = calROC->GetNchannels(); | |
2462 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2463 | calROC->SetValue(ch,1.0); | |
2464 | } | |
2465 | } | |
55a288e5 | 2466 | } |
2467 | else { | |
3a0f6479 | 2468 | |
2469 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2470 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2471 | Int_t detector = -1; | |
2472 | Float_t value = 0.0; | |
2473 | ||
2474 | for (Int_t k = 0; k < loop; k++) { | |
2475 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2476 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2477 | Float_t mean = detobject->GetValue(detector); | |
2478 | if(mean == 0) continue; | |
2479 | Int_t rowMax = calROC->GetNrows(); | |
2480 | Int_t colMax = calROC->GetNcols(); | |
2481 | for (Int_t row = 0; row < rowMax; row++) { | |
2482 | for (Int_t col = 0; col < colMax; col++) { | |
2483 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2484 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
2485 | } // Col | |
2486 | } // Row | |
2487 | } | |
55a288e5 | 2488 | } |
3a0f6479 | 2489 | return object; |
55a288e5 | 2490 | |
2491 | } | |
55a288e5 | 2492 | //_____________________________________________________________________________ |
979b168f | 2493 | TObject *AliTRDCalibraFit::CreatePadObjectT0(const TObjArray *vectorFit, const AliTRDCalDet *detobject) |
3a0f6479 | 2494 | { |
55a288e5 | 2495 | // |
3a0f6479 | 2496 | // It Creates the AliTRDCalPad object from AliTRDFitInfo2 |
2497 | // You need first to create the object for the detectors, | |
2498 | // where the mean value is put. | |
2499 | // This object has to be written in the database | |
55a288e5 | 2500 | // |
3a0f6479 | 2501 | |
2502 | // Create the DetObject | |
2503 | AliTRDCalPad *object = new AliTRDCalPad("LocalT0","T0 (local variations)"); | |
2504 | ||
2505 | if(!vectorFit){ | |
2506 | for(Int_t k = 0; k < 540; k++){ | |
2507 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2508 | Int_t nchannels = calROC->GetNchannels(); | |
2509 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2510 | calROC->SetValue(ch,0.0); | |
2511 | } | |
2512 | } | |
55a288e5 | 2513 | } |
2514 | else { | |
3a0f6479 | 2515 | |
2516 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2517 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2518 | Int_t detector = -1; | |
2519 | Float_t value = 0.0; | |
2520 | ||
2521 | for (Int_t k = 0; k < loop; k++) { | |
2522 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2523 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2524 | Float_t min = detobject->GetValue(detector); | |
2525 | Int_t rowMax = calROC->GetNrows(); | |
2526 | Int_t colMax = calROC->GetNcols(); | |
2527 | for (Int_t row = 0; row < rowMax; row++) { | |
2528 | for (Int_t col = 0; col < colMax; col++) { | |
2529 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 2530 | // check successful |
2531 | if(value > 70.0) value = value - 100.0; | |
2532 | // | |
3a0f6479 | 2533 | calROC->SetValue(col,row,value-min); |
2534 | } // Col | |
2535 | } // Row | |
2536 | } | |
55a288e5 | 2537 | } |
3a0f6479 | 2538 | return object; |
55a288e5 | 2539 | |
2540 | } | |
3a0f6479 | 2541 | //_____________________________________________________________________________ |
979b168f | 2542 | TObject *AliTRDCalibraFit::CreatePadObjectPRF(const TObjArray *vectorFit) |
3a0f6479 | 2543 | { |
2544 | // | |
2545 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
2546 | // This object has to be written in the database | |
2547 | // | |
2548 | ||
2549 | // Create the DetObject | |
2550 | AliTRDCalPad *object = new AliTRDCalPad("PRFWidth","PRFWidth"); | |
2551 | ||
2552 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2553 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2554 | Int_t detector = -1; | |
2555 | Float_t value = 0.0; | |
55a288e5 | 2556 | |
3a0f6479 | 2557 | for (Int_t k = 0; k < loop; k++) { |
2558 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2559 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2560 | Int_t rowMax = calROC->GetNrows(); | |
2561 | Int_t colMax = calROC->GetNcols(); | |
2562 | for (Int_t row = 0; row < rowMax; row++) { | |
2563 | for (Int_t col = 0; col < colMax; col++) { | |
2564 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2565 | calROC->SetValue(col,row,TMath::Abs(value)); | |
2566 | } // Col | |
2567 | } // Row | |
2568 | } | |
2569 | ||
2570 | return object; | |
2571 | ||
2572 | } | |
55a288e5 | 2573 | //_____________________________________________________________________________ |
979b168f | 2574 | AliTRDCalDet *AliTRDCalibraFit::MakeOutliersStatDet(const TObjArray *vectorFit, const char *name, Double_t &mean) |
3a0f6479 | 2575 | { |
2576 | // | |
2577 | // It Creates the AliTRDCalDet object from AliTRDFitInfo | |
2578 | // 0 successful fit 1 not successful fit | |
2579 | // mean is the mean value over the successful fit | |
2580 | // do not use it for t0: no meaning | |
2581 | // | |
2582 | ||
2583 | // Create the CalObject | |
2584 | AliTRDCalDet *object = new AliTRDCalDet(name,name); | |
2585 | mean = 0.0; | |
2586 | Int_t count = 0; | |
2587 | ||
2588 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2589 | if(loop != 540) { | |
2590 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
2591 | for(Int_t k = 0; k < 540; k++){ | |
2592 | object->SetValue(k,1.0); | |
2593 | } | |
2594 | } | |
2595 | Int_t detector = -1; | |
2596 | Float_t value = 0.0; | |
2597 | ||
2598 | for (Int_t k = 0; k < loop; k++) { | |
2599 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2600 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
2601 | if(value <= 0) object->SetValue(detector,1.0); | |
2602 | else { | |
2603 | object->SetValue(detector,0.0); | |
2604 | mean += value; | |
2605 | count++; | |
2606 | } | |
2607 | } | |
2608 | if(count > 0) mean /= count; | |
2609 | return object; | |
2610 | } | |
2611 | //_____________________________________________________________________________ | |
979b168f | 2612 | TObject *AliTRDCalibraFit::MakeOutliersStatPad(const TObjArray *vectorFit, const char *name, Double_t &mean) |
3a0f6479 | 2613 | { |
2614 | // | |
2615 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
2616 | // 0 not successful fit 1 successful fit | |
2617 | // mean mean value over the successful fit | |
2618 | // | |
2619 | ||
2620 | // Create the CalObject | |
2621 | AliTRDCalPad *object = new AliTRDCalPad(name,name); | |
2622 | mean = 0.0; | |
2623 | Int_t count = 0; | |
2624 | ||
2625 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2626 | if(loop != 540) { | |
2627 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
2628 | for(Int_t k = 0; k < 540; k++){ | |
2629 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2630 | Int_t nchannels = calROC->GetNchannels(); | |
2631 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2632 | calROC->SetValue(ch,1.0); | |
2633 | } | |
2634 | } | |
2635 | } | |
2636 | Int_t detector = -1; | |
2637 | Float_t value = 0.0; | |
2638 | ||
2639 | for (Int_t k = 0; k < loop; k++) { | |
2640 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2641 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2642 | Int_t nchannels = calROC->GetNchannels(); | |
2643 | for (Int_t ch = 0; ch < nchannels; ch++) { | |
2644 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[ch]; | |
2645 | if(value <= 0) calROC->SetValue(ch,1.0); | |
2646 | else { | |
2647 | calROC->SetValue(ch,0.0); | |
2648 | mean += value; | |
2649 | count++; | |
2650 | } | |
2651 | } // channels | |
2652 | } | |
2653 | if(count > 0) mean /= count; | |
2654 | return object; | |
2655 | } | |
2656 | //_____________________________________________________________________________ | |
2657 | void AliTRDCalibraFit::SetPeriodeFitPH(Int_t periodeFitPH) | |
55a288e5 | 2658 | { |
2659 | // | |
3a0f6479 | 2660 | // Set FitPH if 1 then each detector will be fitted |
55a288e5 | 2661 | // |
2662 | ||
3a0f6479 | 2663 | if (periodeFitPH > 0) { |
2664 | fFitPHPeriode = periodeFitPH; | |
55a288e5 | 2665 | } |
2666 | else { | |
3a0f6479 | 2667 | AliInfo("periodeFitPH must be higher than 0!"); |
55a288e5 | 2668 | } |
2669 | ||
2670 | } | |
55a288e5 | 2671 | //_____________________________________________________________________________ |
2672 | void AliTRDCalibraFit::SetBeginFitCharge(Float_t beginFitCharge) | |
2673 | { | |
2674 | // | |
2675 | // The fit of the deposited charge distribution begins at | |
2676 | // histo->Mean()/beginFitCharge | |
2677 | // You can here set beginFitCharge | |
2678 | // | |
2679 | ||
2680 | if (beginFitCharge > 0) { | |
2681 | fBeginFitCharge = beginFitCharge; | |
2682 | } | |
2683 | else { | |
2684 | AliInfo("beginFitCharge must be strict positif!"); | |
2685 | } | |
2686 | ||
2687 | } | |
2688 | ||
2689 | //_____________________________________________________________________________ | |
413153cb | 2690 | void AliTRDCalibraFit::SetT0Shift0(Float_t t0Shift) |
2691 | { | |
2692 | // | |
2693 | // The t0 calculated with the maximum positif slope is shift from t0Shift0 | |
2694 | // You can here set t0Shift0 | |
2695 | // | |
2696 | ||
2697 | if (t0Shift > 0) { | |
2698 | fT0Shift0 = t0Shift; | |
2699 | } | |
2700 | else { | |
2701 | AliInfo("t0Shift0 must be strict positif!"); | |
2702 | } | |
2703 | ||
2704 | } | |
2705 | ||
2706 | //_____________________________________________________________________________ | |
2707 | void AliTRDCalibraFit::SetT0Shift1(Float_t t0Shift) | |
55a288e5 | 2708 | { |
2709 | // | |
413153cb | 2710 | // The t0 calculated with the maximum of the amplification region is shift from t0Shift1 |
2711 | // You can here set t0Shift1 | |
55a288e5 | 2712 | // |
2713 | ||
2714 | if (t0Shift > 0) { | |
413153cb | 2715 | fT0Shift1 = t0Shift; |
55a288e5 | 2716 | } |
2717 | else { | |
2718 | AliInfo("t0Shift must be strict positif!"); | |
2719 | } | |
2720 | ||
2721 | } | |
2722 | ||
2723 | //_____________________________________________________________________________ | |
2724 | void AliTRDCalibraFit::SetRangeFitPRF(Float_t rangeFitPRF) | |
2725 | { | |
2726 | // | |
2727 | // The fit of the PRF is from -rangeFitPRF to rangeFitPRF | |
2728 | // You can here set rangeFitPRF | |
2729 | // | |
2730 | ||
2731 | if ((rangeFitPRF > 0) && | |
2732 | (rangeFitPRF <= 1.5)) { | |
2733 | fRangeFitPRF = rangeFitPRF; | |
2734 | } | |
2735 | else { | |
2736 | AliInfo("rangeFitPRF must be between 0 and 1.0"); | |
2737 | } | |
2738 | ||
2739 | } | |
2740 | ||
3a0f6479 | 2741 | //_____________________________________________________________________________ |
2742 | void AliTRDCalibraFit::SetMinEntries(Int_t minEntries) | |
2743 | { | |
2744 | // | |
2745 | // Minimum entries for fitting | |
2746 | // | |
2747 | ||
2748 | if (minEntries > 0) { | |
2749 | fMinEntries = minEntries; | |
2750 | } | |
2751 | else { | |
2752 | AliInfo("fMinEntries must be >= 0."); | |
2753 | } | |
2754 | ||
2755 | } | |
2756 | ||
55a288e5 | 2757 | //_____________________________________________________________________________ |
2758 | void AliTRDCalibraFit::SetRebin(Short_t rebin) | |
2759 | { | |
2760 | // | |
2761 | // Rebin with rebin time less bins the Ch histo | |
2762 | // You can set here rebin that should divide the number of bins of CH histo | |
2763 | // | |
2764 | ||
2765 | if (rebin > 0) { | |
2766 | fRebin = rebin; | |
2767 | AliInfo("You have to be sure that fRebin divides fNumberBinCharge used!"); | |
2768 | } | |
2769 | else { | |
2770 | AliInfo("You have to choose a positiv value!"); | |
2771 | } | |
2772 | ||
2773 | } | |
55a288e5 | 2774 | //_____________________________________________________________________________ |
3a0f6479 | 2775 | Bool_t AliTRDCalibraFit::FillVectorFit() |
55a288e5 | 2776 | { |
2777 | // | |
3a0f6479 | 2778 | // For the Fit functions fill the vector Fit |
55a288e5 | 2779 | // |
55a288e5 | 2780 | |
3a0f6479 | 2781 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 2782 | |
3a0f6479 | 2783 | Int_t ntotal = 1; |
053767a4 | 2784 | if (GetStack(fCountDet) == 2) { |
3a0f6479 | 2785 | ntotal = 1728; |
55a288e5 | 2786 | } |
3a0f6479 | 2787 | else { |
2788 | ntotal = 2304; | |
55a288e5 | 2789 | } |
3a0f6479 | 2790 | |
2791 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
2792 | Float_t *coef = new Float_t[ntotal]; | |
2793 | for (Int_t i = 0; i < ntotal; i++) { | |
2794 | coef[i] = fCurrentCoefDetector[i]; | |
55a288e5 | 2795 | } |
3a0f6479 | 2796 | |
2797 | Int_t detector = fCountDet; | |
2798 | // Set | |
2799 | fitInfo->SetCoef(coef); | |
2800 | fitInfo->SetDetector(detector); | |
2801 | fVectorFit.Add((TObject *) fitInfo); | |
2802 | ||
2803 | return kTRUE; | |
55a288e5 | 2804 | |
3a0f6479 | 2805 | } |
55a288e5 | 2806 | //_____________________________________________________________________________ |
3a0f6479 | 2807 | Bool_t AliTRDCalibraFit::FillVectorFit2() |
55a288e5 | 2808 | { |
2809 | // | |
3a0f6479 | 2810 | // For the Fit functions fill the vector Fit |
55a288e5 | 2811 | // |
55a288e5 | 2812 | |
3a0f6479 | 2813 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 2814 | |
3a0f6479 | 2815 | Int_t ntotal = 1; |
053767a4 | 2816 | if (GetStack(fCountDet) == 2) { |
3a0f6479 | 2817 | ntotal = 1728; |
55a288e5 | 2818 | } |
3a0f6479 | 2819 | else { |
2820 | ntotal = 2304; | |
55a288e5 | 2821 | } |
3a0f6479 | 2822 | |
2823 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
2824 | Float_t *coef = new Float_t[ntotal]; | |
2825 | for (Int_t i = 0; i < ntotal; i++) { | |
2826 | coef[i] = fCurrentCoefDetector2[i]; | |
55a288e5 | 2827 | } |
3a0f6479 | 2828 | |
2829 | Int_t detector = fCountDet; | |
2830 | // Set | |
2831 | fitInfo->SetCoef(coef); | |
2832 | fitInfo->SetDetector(detector); | |
2833 | fVectorFit2.Add((TObject *) fitInfo); | |
55a288e5 | 2834 | |
3a0f6479 | 2835 | return kTRUE; |
55a288e5 | 2836 | |
3a0f6479 | 2837 | } |
2838 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2839 | Bool_t AliTRDCalibraFit::InitFit(Int_t nbins, Int_t i) | |
55a288e5 | 2840 | { |
2841 | // | |
3a0f6479 | 2842 | // Init the number of expected bins and fDect1[i] fDect2[i] |
55a288e5 | 2843 | // |
2844 | ||
3a0f6479 | 2845 | gStyle->SetPalette(1); |
2846 | gStyle->SetOptStat(1111); | |
2847 | gStyle->SetPadBorderMode(0); | |
2848 | gStyle->SetCanvasColor(10); | |
2849 | gStyle->SetPadLeftMargin(0.13); | |
2850 | gStyle->SetPadRightMargin(0.01); | |
2851 | ||
2852 | // Mode groups of pads: the total number of bins! | |
2853 | CalculNumberOfBinsExpected(i); | |
2854 | ||
2855 | // Quick verification that we have the good pad calibration mode! | |
2856 | if (fNumberOfBinsExpected != nbins) { | |
64942b85 | 2857 | AliInfo(Form("It doesn't correspond to the mode of pad group calibration: expected %d and seen %d!",fNumberOfBinsExpected,nbins)); |
3a0f6479 | 2858 | return kFALSE; |
55a288e5 | 2859 | } |
3a0f6479 | 2860 | |
2861 | // Security for fDebug 3 and 4 | |
2862 | if ((fDebugLevel >= 3) && | |
2863 | ((fDet[0] > 5) || | |
2864 | (fDet[1] > 4) || | |
2865 | (fDet[2] > 17))) { | |
2866 | AliInfo("This detector doesn't exit!"); | |
2867 | return kFALSE; | |
55a288e5 | 2868 | } |
2869 | ||
3a0f6479 | 2870 | // Determine fDet1 and fDet2 and set the fNfragZ and fNfragRphi for debug 3 and 4 |
2871 | CalculDect1Dect2(i); | |
55a288e5 | 2872 | |
3a0f6479 | 2873 | |
2874 | return kTRUE; | |
55a288e5 | 2875 | } |
3a0f6479 | 2876 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2877 | Bool_t AliTRDCalibraFit::InitFitCH() | |
55a288e5 | 2878 | { |
2879 | // | |
3a0f6479 | 2880 | // Init the fVectorFitCH for normalisation |
2881 | // Init the histo for debugging | |
55a288e5 | 2882 | // |
2883 | ||
3a0f6479 | 2884 | gDirectory = gROOT; |
2885 | ||
2886 | fScaleFitFactor = 0.0; | |
f29cf84c | 2887 | if( fCurrentCoefDetector ) delete [] fCurrentCoefDetector; |
3a0f6479 | 2888 | fCurrentCoefDetector = new Float_t[2304]; |
2889 | for (Int_t k = 0; k < 2304; k++) { | |
2890 | fCurrentCoefDetector[k] = 0.0; | |
2891 | } | |
2892 | fVectorFit.SetName("gainfactorscoefficients"); | |
55a288e5 | 2893 | |
3a0f6479 | 2894 | // fDebug == 0 nothing |
2895 | // fDebug == 1 and fFitVoir no histo | |
2896 | if (fDebugLevel == 1) { | |
2897 | if(!CheckFitVoir()) return kFALSE; | |
2898 | } | |
2899 | //Get the CalDet object | |
2900 | if(fAccCDB){ | |
2901 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2902 | if (!cal) { | |
2903 | AliInfo("Could not get calibDB"); | |
2904 | return kFALSE; | |
55a288e5 | 2905 | } |
3a0f6479 | 2906 | if(fCalDet) delete fCalDet; |
2907 | fCalDet = new AliTRDCalDet(*(cal->GetGainFactorDet())); | |
55a288e5 | 2908 | } |
3a0f6479 | 2909 | else{ |
2910 | Float_t devalue = 1.0; | |
2911 | if(fCalDet) delete fCalDet; | |
2912 | fCalDet = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); | |
2913 | for(Int_t k = 0; k < 540; k++){ | |
2914 | fCalDet->SetValue(k,devalue); | |
55a288e5 | 2915 | } |
2916 | } | |
3a0f6479 | 2917 | return kTRUE; |
2918 | ||
55a288e5 | 2919 | } |
3a0f6479 | 2920 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2921 | Bool_t AliTRDCalibraFit::InitFitPH() | |
55a288e5 | 2922 | { |
2923 | // | |
3a0f6479 | 2924 | // Init the arrays of results |
2925 | // Init the histos for debugging | |
55a288e5 | 2926 | // |
55a288e5 | 2927 | |
3a0f6479 | 2928 | gDirectory = gROOT; |
2929 | fVectorFit.SetName("driftvelocitycoefficients"); | |
2930 | fVectorFit2.SetName("t0coefficients"); | |
55a288e5 | 2931 | |
f29cf84c | 2932 | if( fCurrentCoefDetector ) delete [] fCurrentCoefDetector; |
3a0f6479 | 2933 | fCurrentCoefDetector = new Float_t[2304]; |
2934 | for (Int_t k = 0; k < 2304; k++) { | |
2935 | fCurrentCoefDetector[k] = 0.0; | |
2936 | } | |
f29cf84c | 2937 | if( fCurrentCoefDetector2 ) delete [] fCurrentCoefDetector2; |
3a0f6479 | 2938 | fCurrentCoefDetector2 = new Float_t[2304]; |
2939 | for (Int_t k = 0; k < 2304; k++) { | |
2940 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2941 | } |
2942 | ||
3a0f6479 | 2943 | //fDebug == 0 nothing |
2944 | // fDebug == 1 and fFitVoir no histo | |
2945 | if (fDebugLevel == 1) { | |
2946 | if(!CheckFitVoir()) return kFALSE; | |
2947 | } | |
2948 | //Get the CalDet object | |
2949 | if(fAccCDB){ | |
2950 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2951 | if (!cal) { | |
2952 | AliInfo("Could not get calibDB"); | |
2953 | return kFALSE; | |
2954 | } | |
2955 | if(fCalDet) delete fCalDet; | |
2956 | if(fCalDet2) delete fCalDet2; | |
2957 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2958 | fCalDet2 = new AliTRDCalDet(*(cal->GetT0Det())); | |
2959 | } | |
2960 | else{ | |
2961 | Float_t devalue = 1.5; | |
2962 | Float_t devalue2 = 0.0; | |
2963 | if(fCalDet) delete fCalDet; | |
2964 | if(fCalDet2) delete fCalDet2; | |
2965 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2966 | fCalDet2 = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
2967 | for(Int_t k = 0; k < 540; k++){ | |
2968 | fCalDet->SetValue(k,devalue); | |
2969 | fCalDet2->SetValue(k,devalue2); | |
2970 | } | |
2971 | } | |
2972 | return kTRUE; | |
55a288e5 | 2973 | } |
3a0f6479 | 2974 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2975 | Bool_t AliTRDCalibraFit::InitFitPRF() | |
55a288e5 | 2976 | { |
2977 | // | |
3a0f6479 | 2978 | // Init the calibration mode (Nz, Nrphi), the histograms for |
2979 | // debugging the fit methods if fDebug > 0, | |
2980 | // | |
2981 | ||
2982 | gDirectory = gROOT; | |
2983 | fVectorFit.SetName("prfwidthcoefficients"); | |
2984 | ||
f29cf84c | 2985 | if( fCurrentCoefDetector ) delete [] fCurrentCoefDetector; |
3a0f6479 | 2986 | fCurrentCoefDetector = new Float_t[2304]; |
2987 | for (Int_t k = 0; k < 2304; k++) { | |
2988 | fCurrentCoefDetector[k] = 0.0; | |
55a288e5 | 2989 | } |
2990 | ||
3a0f6479 | 2991 | // fDebug == 0 nothing |
2992 | // fDebug == 1 and fFitVoir no histo | |
2993 | if (fDebugLevel == 1) { | |
2994 | if(!CheckFitVoir()) return kFALSE; | |
2995 | } | |
2996 | return kTRUE; | |
55a288e5 | 2997 | } |
3a0f6479 | 2998 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2999 | Bool_t AliTRDCalibraFit::InitFitLinearFitter() | |
55a288e5 | 3000 | { |
3001 | // | |
3a0f6479 | 3002 | // Init the fCalDet, fVectorFit fCurrentCoefDetector |
55a288e5 | 3003 | // |
3a0f6479 | 3004 | |
3005 | gDirectory = gROOT; | |
3006 | ||
f29cf84c | 3007 | if( fCurrentCoefDetector ) delete [] fCurrentCoefDetector; |
3008 | if( fCurrentCoefDetector2 ) delete [] fCurrentCoefDetector2; | |
3a0f6479 | 3009 | fCurrentCoefDetector = new Float_t[2304]; |
3010 | fCurrentCoefDetector2 = new Float_t[2304]; | |
3011 | for (Int_t k = 0; k < 2304; k++) { | |
3012 | fCurrentCoefDetector[k] = 0.0; | |
3013 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 3014 | } |
3015 | ||
840ec79d | 3016 | if((!fCalDetVdriftUsed) || (!fCalDetExBUsed)) return kFALSE; |
3017 | ||
55a288e5 | 3018 | return kTRUE; |
55a288e5 | 3019 | } |
55a288e5 | 3020 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
a0bb5615 | 3021 | Bool_t AliTRDCalibraFit::InitFitExbAlt() |
3022 | { | |
3023 | // | |
3024 | // Init the fCalDet, fVectorFit fCurrentCoefDetector | |
3025 | // | |
3026 | ||
3027 | gDirectory = gROOT; | |
3028 | ||
f29cf84c | 3029 | if( fCurrentCoefDetector2 ) delete [] fCurrentCoefDetector2; |
3030 | fCurrentCoefDetector2 = new Float_t[2304]; | |
a0bb5615 | 3031 | for (Int_t k = 0; k < 2304; k++) { |
3032 | fCurrentCoefDetector2[k] = 0.0; | |
3033 | } | |
3034 | ||
3035 | return kTRUE; | |
3036 | } | |
3037 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3a0f6479 | 3038 | void AliTRDCalibraFit::InitfCountDetAndfCount(Int_t i) |
55a288e5 | 3039 | { |
3040 | // | |
3a0f6479 | 3041 | // Init the current detector where we are fCountDet and the |
3042 | // next fCount for the functions Fit... | |
55a288e5 | 3043 | // |
3044 | ||
3a0f6479 | 3045 | // Loop on the Xbins of ch!! |
3046 | fCountDet = -1; // Current detector | |
3047 | fCount = 0; // To find the next detector | |
3048 | ||
3049 | // If fDebug >= 3 | |
3050 | if (fDebugLevel >= 3) { | |
3051 | // Set countdet to the detector | |
3052 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
3053 | // Set counter to write at the end of the detector | |
3054 | fCount = fDect2; | |
3055 | // Get the right calib objects | |
3056 | SetCalROC(i); | |
3057 | } | |
3058 | if(fDebugLevel == 1) { | |
3059 | fCountDet = 0; | |
3060 | fCalibraMode->CalculXBins(fCountDet,i); | |
6aafa7ea | 3061 | if((fCalibraMode->GetNz(i)!=100) && (fCalibraMode->GetNrphi(i)!=100)){ |
3062 | while(fCalibraMode->GetXbins(i) <=fFitVoir){ | |
3063 | fCountDet++; | |
3064 | fCalibraMode->CalculXBins(fCountDet,i); | |
3065 | //printf("GetXBins %d\n",fCalibraMode->GetXbins(i)); | |
3066 | } | |
3067 | } | |
3068 | else { | |
3a0f6479 | 3069 | fCountDet++; |
6aafa7ea | 3070 | } |
3a0f6479 | 3071 | fCount = fCalibraMode->GetXbins(i); |
3072 | fCountDet--; | |
3073 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
053767a4 | 3074 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); |
3075 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3076 | ,(Int_t) GetStack(fCountDet) | |
3077 | ,(Int_t) GetSector(fCountDet),i); | |
3a0f6479 | 3078 | } |
3079 | } | |
3080 | //_______________________________________________________________________________ | |
3081 | void AliTRDCalibraFit::CalculNumberOfBinsExpected(Int_t i) | |
3082 | { | |
3083 | // | |
3084 | // Calculate the number of bins expected (calibration groups) | |
3085 | // | |
3086 | ||
3087 | fNumberOfBinsExpected = 0; | |
64942b85 | 3088 | // All |
3089 | if((fCalibraMode->GetNz(i) == 100) && (fCalibraMode->GetNrphi(i) == 100)){ | |
3090 | fNumberOfBinsExpected = 1; | |
3091 | return; | |
3092 | } | |
3093 | // Per supermodule | |
3094 | if((fCalibraMode->GetNz(i) == 10) && (fCalibraMode->GetNrphi(i) == 10)){ | |
3095 | fNumberOfBinsExpected = 18; | |
3096 | return; | |
3097 | } | |
3098 | // More | |
55a288e5 | 3099 | fCalibraMode->ModePadCalibration(2,i); |
3100 | fCalibraMode->ModePadFragmentation(0,2,0,i); | |
3101 | fCalibraMode->SetDetChamb2(i); | |
3a0f6479 | 3102 | if (fDebugLevel > 1) { |
55a288e5 | 3103 | AliInfo(Form("For the chamber 2: %d",fCalibraMode->GetDetChamb2(i))); |
3104 | } | |
3a0f6479 | 3105 | fNumberOfBinsExpected += 6 * 18 * fCalibraMode->GetDetChamb2(i); |
55a288e5 | 3106 | fCalibraMode->ModePadCalibration(0,i); |
3107 | fCalibraMode->ModePadFragmentation(0,0,0,i); | |
3108 | fCalibraMode->SetDetChamb0(i); | |
3a0f6479 | 3109 | if (fDebugLevel > 1) { |
55a288e5 | 3110 | AliInfo(Form("For the other chamber 0: %d",fCalibraMode->GetDetChamb0(i))); |
3111 | } | |
3a0f6479 | 3112 | fNumberOfBinsExpected += 6 * 4 * 18 * fCalibraMode->GetDetChamb0(i); |
3113 | ||
3114 | } | |
3115 | //_______________________________________________________________________________ | |
3116 | void AliTRDCalibraFit::CalculDect1Dect2(Int_t i) | |
3117 | { | |
3118 | // | |
3119 | // Calculate the range of fits | |
3120 | // | |
55a288e5 | 3121 | |
3a0f6479 | 3122 | fDect1 = -1; |
3123 | fDect2 = -1; | |
3124 | if (fDebugLevel == 1) { | |
3125 | fDect1 = fFitVoir; | |
3126 | fDect2 = fDect1 +1; | |
55a288e5 | 3127 | } |
3a0f6479 | 3128 | if ((fDebugLevel == 2) || (fDebugLevel == 0)) { |
3129 | fDect1 = 0; | |
3130 | fDect2 = fNumberOfBinsExpected; | |
55a288e5 | 3131 | } |
3a0f6479 | 3132 | if (fDebugLevel >= 3) { |
3133 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
3134 | fCalibraMode->CalculXBins(fCountDet,i); | |
3135 | fDect1 = fCalibraMode->GetXbins(i); | |
3136 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
053767a4 | 3137 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); |
3138 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3139 | ,(Int_t) GetStack(fCountDet) | |
3140 | ,(Int_t) GetSector(fCountDet),i); | |
3a0f6479 | 3141 | // Set for the next detector |
3142 | fDect2 = fDect1 + fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
55a288e5 | 3143 | } |
55a288e5 | 3144 | } |
3a0f6479 | 3145 | //_______________________________________________________________________________ |
3146 | Bool_t AliTRDCalibraFit::CheckFitVoir() | |
55a288e5 | 3147 | { |
3148 | // | |
3a0f6479 | 3149 | // Check if fFitVoir is in the range |
55a288e5 | 3150 | // |
3151 | ||
3a0f6479 | 3152 | if (fFitVoir < fNumberOfBinsExpected) { |
3153 | AliInfo(Form("We will see the fit of the object %d",fFitVoir)); | |
55a288e5 | 3154 | } |
3a0f6479 | 3155 | else { |
3156 | AliInfo("fFitVoir is out of range of the histo!"); | |
3157 | return kFALSE; | |
3158 | } | |
3159 | return kTRUE; | |
55a288e5 | 3160 | } |
55a288e5 | 3161 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3162 | void AliTRDCalibraFit::UpdatefCountDetAndfCount(Int_t idect, Int_t i) | |
3163 | { | |
3164 | // | |
3165 | // See if we are in a new detector and update the | |
3166 | // variables fNfragZ and fNfragRphi if yes | |
3a0f6479 | 3167 | // Will never happen for only one detector (3 and 4) |
3168 | // Doesn't matter for 2 | |
3169 | // | |
3170 | if (fCount == idect) { | |
64942b85 | 3171 | // On en est au detector (or first detector in the group) |
3172 | fCountDet += 1; | |
3173 | AliDebug(2,Form("We are at the detector %d\n",fCountDet)); | |
3174 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3175 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); | |
3176 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
053767a4 | 3177 | ,(Int_t) GetStack(fCountDet) |
3178 | ,(Int_t) GetSector(fCountDet),i); | |
64942b85 | 3179 | // Set for the next detector |
3180 | fCount += fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
3181 | // calib objects | |
3182 | SetCalROC(i); | |
3183 | } | |
55a288e5 | 3184 | } |
55a288e5 | 3185 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3186 | void AliTRDCalibraFit::ReconstructFitRowMinRowMax(Int_t idect, Int_t i) | |
3187 | { | |
3188 | // | |
3189 | // Reconstruct the min pad row, max pad row, min pad col and | |
3190 | // max pad col of the calibration group for the Fit functions | |
64942b85 | 3191 | // idect is the calibration group inside the detector |
55a288e5 | 3192 | // |
3a0f6479 | 3193 | if (fDebugLevel != 1) { |
3194 | fCalibraMode->ReconstructionRowPadGroup((Int_t) (idect-(fCount-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i)))),i); | |
55a288e5 | 3195 | } |
64942b85 | 3196 | AliDebug(2,Form("AliTRDCalibraFit::ReconstructFitRowMinRowMax: the local calibration group is %d",idect-(fCount-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i))))); |
3197 | AliDebug(2,Form("AliTRDCalibraFit::ReconstructFitRowMinRowMax: the number of group per detector is %d",fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i))); | |
55a288e5 | 3198 | } |
55a288e5 | 3199 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3a0f6479 | 3200 | Bool_t AliTRDCalibraFit::NotEnoughStatisticCH(Int_t idect) |
55a288e5 | 3201 | { |
3202 | // | |
3203 | // For the case where there are not enough entries in the histograms | |
3a0f6479 | 3204 | // of the calibration group, the value present in the choosen database |
3205 | // will be put. A negativ sign enables to know that a fit was not possible. | |
3206 | // | |
3207 | ||
3208 | if (fDebugLevel == 1) { | |
3209 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 3210 | } |
64942b85 | 3211 | else if (fNbDet > 0){ |
3212 | Int_t firstdetector = fCountDet; | |
3213 | Int_t lastdetector = fCountDet+fNbDet; | |
840ec79d | 3214 | //AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted",idect,firstdetector,lastdetector)); |
64942b85 | 3215 | // loop over detectors |
3216 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3217 | ||
3218 | //Set the calibration object again | |
3219 | fCountDet = det; | |
3220 | SetCalROC(0); | |
3221 | ||
3222 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3223 | // Put them at 1 | |
3224 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),0); | |
3225 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3226 | ,(Int_t) GetStack(fCountDet) | |
3227 | ,(Int_t) GetSector(fCountDet),0); | |
3228 | // Reconstruct row min row max | |
3229 | ReconstructFitRowMinRowMax(idect,0); | |
3230 | ||
3231 | // Calcul the coef from the database choosen for the detector | |
3232 | CalculChargeCoefMean(kFALSE); | |
3233 | ||
3234 | //stack 2, not stack 2 | |
3235 | Int_t factor = 0; | |
3236 | if(GetStack(fCountDet) == 2) factor = 12; | |
3237 | else factor = 16; | |
3238 | ||
3239 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3240 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3241 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3242 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
3243 | } | |
3244 | } | |
3245 | ||
3246 | //Put default value negative | |
3247 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3248 | fCurrentCoefE = 0.0; | |
3249 | ||
3250 | // Fill the stuff | |
3251 | FillVectorFit(); | |
3252 | // Debug | |
3253 | if(fDebugLevel > 1){ | |
3254 | ||
3255 | if ( !fDebugStreamer ) { | |
3256 | //debug stream | |
3257 | TDirectory *backup = gDirectory; | |
3258 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); | |
3259 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3260 | } | |
3261 | ||
3262 | Int_t detector = fCountDet; | |
3263 | Int_t caligroup = idect; | |
3264 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
3265 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
3266 | Short_t colmin = fCalibraMode->GetColMin(0); | |
3267 | Short_t colmax = fCalibraMode->GetColMax(0); | |
3268 | Float_t gf = fCurrentCoef[0]; | |
3269 | Float_t gfs = fCurrentCoef[1]; | |
3270 | Float_t gfE = fCurrentCoefE; | |
3271 | ||
3272 | (*fDebugStreamer) << "FillFillCH" << | |
3273 | "detector=" << detector << | |
3274 | "caligroup=" << caligroup << | |
3275 | "rowmin=" << rowmin << | |
3276 | "rowmax=" << rowmax << | |
3277 | "colmin=" << colmin << | |
3278 | "colmax=" << colmax << | |
3279 | "gf=" << gf << | |
3280 | "gfs=" << gfs << | |
3281 | "gfE=" << gfE << | |
3282 | "\n"; | |
3283 | ||
3284 | } | |
3285 | // Reset | |
3286 | for (Int_t k = 0; k < 2304; k++) { | |
3287 | fCurrentCoefDetector[k] = 0.0; | |
3288 | } | |
3289 | ||
3290 | }// loop detector | |
3291 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
3292 | } | |
3a0f6479 | 3293 | else { |
55a288e5 | 3294 | |
840ec79d | 3295 | //AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted",idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0))),fCountDet)); |
3a0f6479 | 3296 | |
3297 | // Calcul the coef from the database choosen | |
3298 | CalculChargeCoefMean(kFALSE); | |
55a288e5 | 3299 | |
053767a4 | 3300 | //stack 2, not stack 2 |
3a0f6479 | 3301 | Int_t factor = 0; |
053767a4 | 3302 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 3303 | else factor = 16; |
55a288e5 | 3304 | |
3a0f6479 | 3305 | // Fill the fCurrentCoefDetector with negative value to say: not fitted |
3306 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3307 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3308 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 3309 | } |
3310 | } | |
3a0f6479 | 3311 | |
3312 | //Put default value negative | |
3313 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3314 | fCurrentCoefE = 0.0; | |
3315 | ||
3316 | FillFillCH(idect); | |
3317 | } | |
3318 | ||
3319 | return kTRUE; | |
55a288e5 | 3320 | } |
3321 | ||
3a0f6479 | 3322 | |
3323 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
64942b85 | 3324 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPH(Int_t idect,Double_t nentries) |
55a288e5 | 3325 | { |
3326 | // | |
3a0f6479 | 3327 | // For the case where there are not enough entries in the histograms |
3328 | // of the calibration group, the value present in the choosen database | |
3329 | // will be put. A negativ sign enables to know that a fit was not possible. | |
55a288e5 | 3330 | // |
3a0f6479 | 3331 | if (fDebugLevel == 1) { |
3332 | AliInfo("The element has not enough statistic to be fitted"); | |
3333 | } | |
64942b85 | 3334 | else if (fNbDet > 0) { |
3335 | ||
3336 | Int_t firstdetector = fCountDet; | |
3337 | Int_t lastdetector = fCountDet+fNbDet; | |
840ec79d | 3338 | //AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted",idect,firstdetector,lastdetector)); |
64942b85 | 3339 | // loop over detectors |
3340 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3341 | ||
3342 | //Set the calibration object again | |
3343 | fCountDet = det; | |
3344 | SetCalROC(1); | |
3345 | ||
3346 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3347 | // Put them at 1 | |
3348 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),1); | |
3349 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3350 | ,(Int_t) GetStack(fCountDet) | |
3351 | ,(Int_t) GetSector(fCountDet),1); | |
3352 | // Reconstruct row min row max | |
3353 | ReconstructFitRowMinRowMax(idect,1); | |
3354 | ||
3355 | // Calcul the coef from the database choosen for the detector | |
3356 | CalculVdriftCoefMean(); | |
3357 | CalculT0CoefMean(); | |
3358 | ||
3359 | //stack 2, not stack 2 | |
3360 | Int_t factor = 0; | |
3361 | if(GetStack(fCountDet) == 2) factor = 12; | |
3362 | else factor = 16; | |
3363 | ||
3364 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3365 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3366 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3367 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
3368 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[1] + 100.0; | |
3369 | } | |
3370 | } | |
3371 | ||
3372 | //Put default value negative | |
3373 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3374 | fCurrentCoefE = 0.0; | |
3375 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
3376 | fCurrentCoefE2 = 0.0; | |
3377 | ||
3378 | // Fill the stuff | |
3379 | FillVectorFit(); | |
3380 | FillVectorFit2(); | |
3381 | // Debug | |
3382 | if(fDebugLevel > 1){ | |
3383 | ||
3384 | if ( !fDebugStreamer ) { | |
3385 | //debug stream | |
3386 | TDirectory *backup = gDirectory; | |
3387 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); | |
3388 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3389 | } | |
3390 | ||
3391 | ||
3392 | Int_t detector = fCountDet; | |
3393 | Int_t caligroup = idect; | |
3394 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
3395 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
3396 | Short_t colmin = fCalibraMode->GetColMin(1); | |
3397 | Short_t colmax = fCalibraMode->GetColMax(1); | |
3398 | Float_t vf = fCurrentCoef[0]; | |
3399 | Float_t vs = fCurrentCoef[1]; | |
3400 | Float_t vfE = fCurrentCoefE; | |
3401 | Float_t t0f = fCurrentCoef2[0]; | |
3402 | Float_t t0s = fCurrentCoef2[1]; | |
3403 | Float_t t0E = fCurrentCoefE2; | |
3404 | ||
3405 | ||
3406 | ||
3407 | (* fDebugStreamer) << "FillFillPH"<< | |
3408 | "detector="<<detector<< | |
3409 | "nentries="<<nentries<< | |
3410 | "caligroup="<<caligroup<< | |
3411 | "rowmin="<<rowmin<< | |
3412 | "rowmax="<<rowmax<< | |
3413 | "colmin="<<colmin<< | |
3414 | "colmax="<<colmax<< | |
3415 | "vf="<<vf<< | |
3416 | "vs="<<vs<< | |
3417 | "vfE="<<vfE<< | |
3418 | "t0f="<<t0f<< | |
3419 | "t0s="<<t0s<< | |
3420 | "t0E="<<t0E<< | |
3421 | "\n"; | |
3422 | } | |
3423 | // Reset | |
3424 | for (Int_t k = 0; k < 2304; k++) { | |
3425 | fCurrentCoefDetector[k] = 0.0; | |
3426 | fCurrentCoefDetector2[k] = 0.0; | |
3427 | } | |
3428 | ||
3429 | }// loop detector | |
3430 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
3431 | } | |
3a0f6479 | 3432 | else { |
55a288e5 | 3433 | |
840ec79d | 3434 | //AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted",idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1))),fCountDet)); |
55a288e5 | 3435 | |
3a0f6479 | 3436 | CalculVdriftCoefMean(); |
3437 | CalculT0CoefMean(); | |
55a288e5 | 3438 | |
053767a4 | 3439 | //stack 2 and not stack 2 |
3a0f6479 | 3440 | Int_t factor = 0; |
053767a4 | 3441 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 3442 | else factor = 16; |
55a288e5 | 3443 | |
55a288e5 | 3444 | |
3a0f6479 | 3445 | // Fill the fCurrentCoefDetector 2 |
3446 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3447 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3448 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
64942b85 | 3449 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 3450 | } |
3451 | } | |
55a288e5 | 3452 | |
3a0f6479 | 3453 | // Put the default value |
3454 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3455 | fCurrentCoefE = 0.0; | |
64942b85 | 3456 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
3a0f6479 | 3457 | fCurrentCoefE2 = 0.0; |
3458 | ||
64942b85 | 3459 | FillFillPH(idect,nentries); |
3a0f6479 | 3460 | |
3461 | } | |
55a288e5 | 3462 | |
3a0f6479 | 3463 | return kTRUE; |
64942b85 | 3464 | |
3a0f6479 | 3465 | } |
3466 | ||
3467 | ||
3468 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3469 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPRF(Int_t idect) | |
3470 | { | |
3471 | // | |
3472 | // For the case where there are not enough entries in the histograms | |
3473 | // of the calibration group, the value present in the choosen database | |
3474 | // will be put. A negativ sign enables to know that a fit was not possible. | |
3475 | // | |
55a288e5 | 3476 | |
3a0f6479 | 3477 | if (fDebugLevel == 1) { |
3478 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 3479 | } |
64942b85 | 3480 | else if (fNbDet > 0){ |
3481 | ||
3482 | Int_t firstdetector = fCountDet; | |
3483 | Int_t lastdetector = fCountDet+fNbDet; | |
840ec79d | 3484 | // AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted",idect,firstdetector,lastdetector)); |
64942b85 | 3485 | |
3486 | // loop over detectors | |
3487 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3488 | ||
3489 | //Set the calibration object again | |
3490 | fCountDet = det; | |
3491 | SetCalROC(2); | |
3492 | ||
3493 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3494 | // Put them at 1 | |
3495 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),2); | |
3496 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3497 | ,(Int_t) GetStack(fCountDet) | |
3498 | ,(Int_t) GetSector(fCountDet),2); | |
3499 | // Reconstruct row min row max | |
3500 | ReconstructFitRowMinRowMax(idect,2); | |
3501 | ||
3502 | // Calcul the coef from the database choosen for the detector | |
3503 | CalculPRFCoefMean(); | |
3504 | ||
3505 | //stack 2, not stack 2 | |
3506 | Int_t factor = 0; | |
3507 | if(GetStack(fCountDet) == 2) factor = 12; | |
3508 | else factor = 16; | |
3509 | ||
3510 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3511 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3512 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3513 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
3514 | } | |
3515 | } | |
3516 | ||
3517 | //Put default value negative | |
3518 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3519 | fCurrentCoefE = 0.0; | |
3520 | ||
3521 | // Fill the stuff | |
3522 | FillVectorFit(); | |
3523 | // Debug | |
3524 | if(fDebugLevel > 1){ | |
3525 | ||
3526 | if ( !fDebugStreamer ) { | |
3527 | //debug stream | |
3528 | TDirectory *backup = gDirectory; | |
3529 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); | |
3530 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3531 | } | |
3532 | ||
3533 | Int_t detector = fCountDet; | |
3534 | Int_t layer = GetLayer(fCountDet); | |
3535 | Int_t caligroup = idect; | |
3536 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
3537 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
3538 | Short_t colmin = fCalibraMode->GetColMin(2); | |
3539 | Short_t colmax = fCalibraMode->GetColMax(2); | |
3540 | Float_t widf = fCurrentCoef[0]; | |
3541 | Float_t wids = fCurrentCoef[1]; | |
3542 | Float_t widfE = fCurrentCoefE; | |
3543 | ||
3544 | (* fDebugStreamer) << "FillFillPRF"<< | |
3545 | "detector="<<detector<< | |
3546 | "layer="<<layer<< | |
3547 | "caligroup="<<caligroup<< | |
3548 | "rowmin="<<rowmin<< | |
3549 | "rowmax="<<rowmax<< | |
3550 | "colmin="<<colmin<< | |
3551 | "colmax="<<colmax<< | |
3552 | "widf="<<widf<< | |
3553 | "wids="<<wids<< | |
3554 | "widfE="<<widfE<< | |
3555 | "\n"; | |
3556 | } | |
3557 | // Reset | |
3558 | for (Int_t k = 0; k < 2304; k++) { | |
3559 | fCurrentCoefDetector[k] = 0.0; | |
3560 | } | |
3561 | ||
3562 | }// loop detector | |
3563 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
3564 | } | |
3a0f6479 | 3565 | else { |
3566 | ||
840ec79d | 3567 | // AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted",idect-(fCount-(fCalibraMode->GetNfragZ(2)*fCalibraMode->GetNfragRphi(2))),fCountDet)); |
3a0f6479 | 3568 | |
3569 | CalculPRFCoefMean(); | |
3570 | ||
053767a4 | 3571 | // stack 2 and not stack 2 |
3a0f6479 | 3572 | Int_t factor = 0; |
053767a4 | 3573 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 3574 | else factor = 16; |
55a288e5 | 3575 | |
55a288e5 | 3576 | |
3a0f6479 | 3577 | // Fill the fCurrentCoefDetector |
3578 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3579 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
64942b85 | 3580 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); |
55a288e5 | 3581 | } |
3582 | } | |
55a288e5 | 3583 | |
3a0f6479 | 3584 | // Put the default value |
64942b85 | 3585 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3a0f6479 | 3586 | fCurrentCoefE = 0.0; |
3587 | ||
3588 | FillFillPRF(idect); | |
3589 | } | |
3590 | ||
3591 | return kTRUE; | |
55a288e5 | 3592 | |
3a0f6479 | 3593 | } |
3594 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3595 | Bool_t AliTRDCalibraFit::NotEnoughStatisticLinearFitter() | |
55a288e5 | 3596 | { |
3597 | // | |
3a0f6479 | 3598 | // For the case where there are not enough entries in the histograms |
3599 | // of the calibration group, the value present in the choosen database | |
3600 | // will be put. A negativ sign enables to know that a fit was not possible. | |
3601 | // | |
3602 | ||
3603 | // Calcul the coef from the database choosen | |
3604 | CalculVdriftLorentzCoef(); | |
3605 | ||
3606 | Int_t factor = 0; | |
053767a4 | 3607 | if(GetStack(fCountDet) == 2) factor = 1728; |
3a0f6479 | 3608 | else factor = 2304; |
3609 | ||
3610 | ||
3611 | // Fill the fCurrentCoefDetector | |
3612 | for (Int_t k = 0; k < factor; k++) { | |
3613 | fCurrentCoefDetector[k] = -TMath::Abs(fCurrentCoef[1]); | |
3614 | // should be negative | |
840ec79d | 3615 | fCurrentCoefDetector2[k] = fCurrentCoef2[1]+100.0; |
55a288e5 | 3616 | } |
3a0f6479 | 3617 | |
3618 | ||
840ec79d | 3619 | //Put default opposite sign only for vdrift |
3a0f6479 | 3620 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3621 | fCurrentCoefE = 0.0; | |
840ec79d | 3622 | fCurrentCoef2[0] = fCurrentCoef2[1]+100.0; |
3a0f6479 | 3623 | fCurrentCoefE2 = 0.0; |
3624 | ||
3625 | FillFillLinearFitter(); | |
3626 | ||
3627 | return kTRUE; | |
55a288e5 | 3628 | } |
3629 | ||
a0bb5615 | 3630 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3631 | Bool_t AliTRDCalibraFit::NotEnoughStatisticExbAlt() | |
3632 | { | |
3633 | // | |
3634 | // For the case where there are not enough entries in the histograms | |
3635 | // of the calibration group, the value present in the choosen database | |
3636 | // will be put. A negativ sign enables to know that a fit was not possible. | |
3637 | // | |
3638 | ||
3639 | Int_t factor = 0; | |
3640 | if(GetStack(fCountDet) == 2) factor = 1728; | |
3641 | else factor = 2304; | |
3642 | ||
3643 | ||
3644 | // Fill the fCurrentCoefDetector | |
3645 | for (Int_t k = 0; k < factor; k++) { | |
3646 | fCurrentCoefDetector2[k] = 100.0; | |
3647 | } | |
3648 | ||
3649 | fCurrentCoef2[0] = 100.0; | |
3650 | fCurrentCoefE2 = 0.0; | |
3651 | ||
3652 | FillFillExbAlt(); | |
3653 | ||
3654 | return kTRUE; | |
3655 | } | |
3656 | ||
3a0f6479 | 3657 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3658 | Bool_t AliTRDCalibraFit::FillInfosFitCH(Int_t idect) | |
55a288e5 | 3659 | { |
3660 | // | |
3a0f6479 | 3661 | // Fill the coefficients found with the fits or other |
3662 | // methods from the Fit functions | |
3663 | // | |
3664 | ||
3665 | if (fDebugLevel != 1) { | |
64942b85 | 3666 | if (fNbDet > 0){ |
3667 | Int_t firstdetector = fCountDet; | |
3668 | Int_t lastdetector = fCountDet+fNbDet; | |
840ec79d | 3669 | // AliInfo(Form("The element %d containing the detectors %d to %d has been fitted",idect,firstdetector,lastdetector)); |
64942b85 | 3670 | // loop over detectors |
3671 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3672 | ||
3673 | //Set the calibration object again | |
3674 | fCountDet = det; | |
3675 | SetCalROC(0); | |
3676 | ||
3677 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3678 | // Put them at 1 | |
3679 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),0); | |
3680 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3681 | ,(Int_t) GetStack(fCountDet) | |
3682 | ,(Int_t) GetSector(fCountDet),0); | |
3683 | // Reconstruct row min row max | |
3684 | ReconstructFitRowMinRowMax(idect,0); | |
3685 | ||
3686 | // Calcul the coef from the database choosen for the detector | |
3687 | if(fCurrentCoef[0] < 0.0) CalculChargeCoefMean(kFALSE); | |
3688 | else CalculChargeCoefMean(kTRUE); | |
3689 | ||
3690 | //stack 2, not stack 2 | |
3691 | Int_t factor = 0; | |
3692 | if(GetStack(fCountDet) == 2) factor = 12; | |
3693 | else factor = 16; | |
3694 | ||
3695 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3696 | Double_t coeftoput = 1.0; | |
3697 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3698 | else coeftoput = fCurrentCoef[0]; | |
3699 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3700 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3701 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3702 | } | |
3703 | } | |
3704 | ||
3705 | // Fill the stuff | |
3706 | FillVectorFit(); | |
3707 | // Debug | |
3708 | if(fDebugLevel > 1){ | |
3709 | ||
3710 | if ( !fDebugStreamer ) { | |
3711 | //debug stream | |
3712 | TDirectory *backup = gDirectory; | |
3713 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); | |
3714 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3715 | } | |
3716 | ||
3717 | Int_t detector = fCountDet; | |
3718 | Int_t caligroup = idect; | |
3719 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
3720 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
3721 | Short_t colmin = fCalibraMode->GetColMin(0); | |
3722 | Short_t colmax = fCalibraMode->GetColMax(0); | |
3723 | Float_t gf = fCurrentCoef[0]; | |
3724 | Float_t gfs = fCurrentCoef[1]; | |
3725 | Float_t gfE = fCurrentCoefE; | |
3726 | ||
3727 | (*fDebugStreamer) << "FillFillCH" << | |
3728 | "detector=" << detector << | |
3729 | "caligroup=" << caligroup << | |
3730 | "rowmin=" << rowmin << | |
3731 | "rowmax=" << rowmax << | |
3732 | "colmin=" << colmin << | |
3733 | "colmax=" << colmax << | |
3734 | "gf=" << gf << | |
3735 | "gfs=" << gfs << | |
3736 | "gfE=" << gfE << | |
3737 | "\n"; | |
3738 | ||
3739 | } | |
3740 | // Reset | |
3741 | for (Int_t k = 0; k < 2304; k++) { | |
3742 | fCurrentCoefDetector[k] = 0.0; | |
3743 | } | |
3744 | ||
3745 | }// loop detector | |
3746 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3747 | } | |
3748 | else{ | |
3749 | ||
3750 | Int_t factor = 0; | |
3751 | if(GetStack(fCountDet) == 2) factor = 12; | |
3752 | else factor = 16; | |
3753 | ||
3754 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3755 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3756 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3757 | } | |
3a0f6479 | 3758 | } |
64942b85 | 3759 | |
3760 | FillFillCH(idect); | |
55a288e5 | 3761 | } |
3762 | } | |
55a288e5 | 3763 | |
3a0f6479 | 3764 | return kTRUE; |
3765 | ||
3766 | } | |
3767 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
64942b85 | 3768 | Bool_t AliTRDCalibraFit::FillInfosFitPH(Int_t idect,Double_t nentries) |
55a288e5 | 3769 | { |
3770 | // | |
3a0f6479 | 3771 | // Fill the coefficients found with the fits or other |
3772 | // methods from the Fit functions | |
3773 | // | |
3774 | ||
3775 | if (fDebugLevel != 1) { | |
64942b85 | 3776 | if (fNbDet > 0){ |
3777 | ||
3778 | Int_t firstdetector = fCountDet; | |
3779 | Int_t lastdetector = fCountDet+fNbDet; | |
840ec79d | 3780 | // AliInfo(Form("The element %d containing the detectors %d to %d has been fitted",idect,firstdetector,lastdetector)); |
64942b85 | 3781 | |
3782 | // loop over detectors | |
3783 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3784 | ||
3785 | //Set the calibration object again | |
3786 | fCountDet = det; | |
3787 | SetCalROC(1); | |
3788 | ||
3789 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3790 | // Put them at 1 | |
3791 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),1); | |
3792 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3793 | ,(Int_t) GetStack(fCountDet) | |
3794 | ,(Int_t) GetSector(fCountDet),1); | |
3795 | // Reconstruct row min row max | |
3796 | ReconstructFitRowMinRowMax(idect,1); | |
3797 | ||
3798 | // Calcul the coef from the database choosen for the detector | |
3799 | CalculVdriftCoefMean(); | |
3800 | CalculT0CoefMean(); | |
3801 | ||
3802 | //stack 2, not stack 2 | |
3803 | Int_t factor = 0; | |
3804 | if(GetStack(fCountDet) == 2) factor = 12; | |
3805 | else factor = 16; | |
3806 | ||
3807 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3808 | Double_t coeftoput = 1.5; | |
3809 | Double_t coeftoput2 = 0.0; | |
3810 | ||
3811 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3812 | else coeftoput = fCurrentCoef[0]; | |
3813 | ||
3814 | if(fCurrentCoef2[0] > 70.0) coeftoput2 = fCurrentCoef2[1] + 100.0; | |
3815 | else coeftoput2 = fCurrentCoef2[0]; | |
3816 | ||
3817 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3818 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3819 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3820 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = coeftoput2; | |
3821 | } | |
3822 | } | |
3823 | ||
3824 | // Fill the stuff | |
3825 | FillVectorFit(); | |
3826 | FillVectorFit2(); | |
3827 | // Debug | |
3828 | if(fDebugLevel > 1){ | |
3829 | ||
3830 | if ( !fDebugStreamer ) { | |
3831 | //debug stream | |
3832 | TDirectory *backup = gDirectory; | |
3833 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); | |
3834 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3835 | } | |
3836 | ||
3837 | ||
3838 | Int_t detector = fCountDet; | |
3839 | Int_t caligroup = idect; | |
3840 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
3841 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
3842 | Short_t colmin = fCalibraMode->GetColMin(1); | |
3843 | Short_t colmax = fCalibraMode->GetColMax(1); | |
3844 | Float_t vf = fCurrentCoef[0]; | |
3845 | Float_t vs = fCurrentCoef[1]; | |
3846 | Float_t vfE = fCurrentCoefE; | |
3847 | Float_t t0f = fCurrentCoef2[0]; | |
3848 | Float_t t0s = fCurrentCoef2[1]; | |
3849 | Float_t t0E = fCurrentCoefE2; | |
3850 | ||
3851 | ||
3852 | ||
3853 | (* fDebugStreamer) << "FillFillPH"<< | |
3854 | "detector="<<detector<< | |
3855 | "nentries="<<nentries<< | |
3856 | "caligroup="<<caligroup<< | |
3857 | "rowmin="<<rowmin<< | |
3858 | "rowmax="<<rowmax<< | |
3859 | "colmin="<<colmin<< | |
3860 | "colmax="<<colmax<< | |
3861 | "vf="<<vf<< | |
3862 | "vs="<<vs<< | |
3863 | "vfE="<<vfE<< | |
3864 | "t0f="<<t0f<< | |
3865 | "t0s="<<t0s<< | |
3866 | "t0E="<<t0E<< | |
3867 | "\n"; | |
3868 | } | |
3869 | // Reset | |
3870 | for (Int_t k = 0; k < 2304; k++) { | |
3871 | fCurrentCoefDetector[k] = 0.0; | |
3872 | fCurrentCoefDetector2[k] = 0.0; | |
3873 | } | |
3874 | ||
3875 | }// loop detector | |
3876 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3877 | } | |
3878 | else { | |
3879 | ||
3880 | Int_t factor = 0; | |
3881 | if(GetStack(fCountDet) == 2) factor = 12; | |
3882 | else factor = 16; | |
3883 | ||
3884 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3885 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3886 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3887 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[0]; | |
3888 | } | |
3889 | } | |
3890 | ||
3891 | FillFillPH(idect,nentries); | |
3892 | } | |
55a288e5 | 3893 | } |
3a0f6479 | 3894 | return kTRUE; |
55a288e5 | 3895 | } |
3a0f6479 | 3896 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3897 | Bool_t AliTRDCalibraFit::FillInfosFitPRF(Int_t idect) | |
55a288e5 | 3898 | { |
3899 | // | |
3a0f6479 | 3900 | // Fill the coefficients found with the fits or other |
3901 | // methods from the Fit functions | |
55a288e5 | 3902 | // |
3a0f6479 | 3903 | |
3904 | if (fDebugLevel != 1) { | |
64942b85 | 3905 | if (fNbDet > 0){ |
3a0f6479 | 3906 | |
64942b85 | 3907 | Int_t firstdetector = fCountDet; |
3908 | Int_t lastdetector = fCountDet+fNbDet; | |
840ec79d | 3909 | // AliInfo(Form("The element %d containing the detectors %d to %d has been fitted",idect,firstdetector,lastdetector)); |
64942b85 | 3910 | |
3911 | // loop over detectors | |
3912 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3913 | ||
3914 | //Set the calibration object again | |
3915 | fCountDet = det; | |
3916 | SetCalROC(2); | |
3917 | ||
3918 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3919 | // Put them at 1 | |
3920 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),2); | |
3921 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3922 | ,(Int_t) GetStack(fCountDet) | |
3923 | ,(Int_t) GetSector(fCountDet),2); | |
3924 | // Reconstruct row min row max | |
3925 | ReconstructFitRowMinRowMax(idect,2); | |
3926 | ||
3927 | // Calcul the coef from the database choosen for the detector | |
3928 | CalculPRFCoefMean(); | |
3929 | ||
3930 | //stack 2, not stack 2 | |
3931 | Int_t factor = 0; | |
3932 | if(GetStack(fCountDet) == 2) factor = 12; | |
3933 | else factor = 16; | |
3934 | ||
3935 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3936 | Double_t coeftoput = 1.0; | |
3937 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3938 | else coeftoput = fCurrentCoef[0]; | |
3939 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3940 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3941 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3942 | } | |
3943 | } | |
3944 | ||
3945 | // Fill the stuff | |
3946 | FillVectorFit(); | |
3947 | // Debug | |
3948 | if(fDebugLevel > 1){ | |
3949 | ||
3950 | if ( !fDebugStreamer ) { | |
3951 | //debug stream | |
3952 | TDirectory *backup = gDirectory; | |
3953 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); | |
3954 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3955 | } | |
3956 | ||
3957 | Int_t detector = fCountDet; | |
3958 | Int_t layer = GetLayer(fCountDet); | |
3959 | Int_t caligroup = idect; | |
3960 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
3961 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
3962 | Short_t colmin = fCalibraMode->GetColMin(2); | |
3963 | Short_t colmax = fCalibraMode->GetColMax(2); | |
3964 | Float_t widf = fCurrentCoef[0]; | |
3965 | Float_t wids = fCurrentCoef[1]; | |
3966 | Float_t widfE = fCurrentCoefE; | |
3967 | ||
3968 | (* fDebugStreamer) << "FillFillPRF"<< | |
3969 | "detector="<<detector<< | |
3970 | "layer="<<layer<< | |
3971 | "caligroup="<<caligroup<< | |
3972 | "rowmin="<<rowmin<< | |
3973 | "rowmax="<<rowmax<< | |
3974 | "colmin="<<colmin<< | |
3975 | "colmax="<<colmax<< | |
3976 | "widf="<<widf<< | |
3977 | "wids="<<wids<< | |
3978 | "widfE="<<widfE<< | |
3979 | "\n"; | |
3980 | } | |
3981 | // Reset | |
3982 | for (Int_t k = 0; k < 2304; k++) { | |
3983 | fCurrentCoefDetector[k] = 0.0; | |
3984 | } | |
3985 | ||
3986 | }// loop detector | |
3987 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3988 | } | |
3989 | else { | |
3990 | ||
3991 | Int_t factor = 0; | |
3992 | if(GetStack(fCountDet) == 2) factor = 12; | |
3993 | else factor = 16; | |
3994 | ||
3995 | // Pointer to the branch | |
3996 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3997 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3998 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3999 | } | |
3a0f6479 | 4000 | } |
64942b85 | 4001 | FillFillPRF(idect); |
55a288e5 | 4002 | } |
4003 | } | |
64942b85 | 4004 | |
3a0f6479 | 4005 | return kTRUE; |
55a288e5 | 4006 | |
3a0f6479 | 4007 | } |
4008 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
4009 | Bool_t AliTRDCalibraFit::FillInfosFitLinearFitter() | |
55a288e5 | 4010 | { |
4011 | // | |
3a0f6479 | 4012 | // Fill the coefficients found with the fits or other |
4013 | // methods from the Fit functions | |
55a288e5 | 4014 | // |
3a0f6479 | 4015 | |
4016 | Int_t factor = 0; | |
053767a4 | 4017 | if(GetStack(fCountDet) == 2) factor = 1728; |
3a0f6479 | 4018 | else factor = 2304; |
4019 | ||
4020 | // Pointer to the branch | |
4021 | for (Int_t k = 0; k < factor; k++) { | |
4022 | fCurrentCoefDetector[k] = fCurrentCoef[0]; | |
4023 | fCurrentCoefDetector2[k] = fCurrentCoef2[0]; | |
55a288e5 | 4024 | } |
3a0f6479 | 4025 | |
4026 | FillFillLinearFitter(); | |
4027 | ||
4028 | return kTRUE; | |
55a288e5 | 4029 | |
a0bb5615 | 4030 | } |
4031 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
4032 | Bool_t AliTRDCalibraFit::FillInfosFitExbAlt() | |
4033 | { | |
4034 | // | |
4035 | // Fill the coefficients found with the fits or other | |
4036 | // methods from the Fit functions | |
4037 | // | |
4038 | ||
4039 | Int_t factor = 0; | |
4040 | if(GetStack(fCountDet) == 2) factor = 1728; | |
4041 | else factor = 2304; | |
4042 | ||
4043 | // Pointer to the branch | |
4044 | for (Int_t k = 0; k < factor; k++) { | |
4045 | fCurrentCoefDetector2[k] = fCurrentCoef2[0]; | |
4046 | } | |
4047 | ||
4048 | FillFillExbAlt(); | |
4049 | ||
4050 | return kTRUE; | |
4051 | ||
55a288e5 | 4052 | } |
3a0f6479 | 4053 | //________________________________________________________________________________ |
4054 | void AliTRDCalibraFit::FillFillCH(Int_t idect) | |
55a288e5 | 4055 | { |
4056 | // | |
3a0f6479 | 4057 | // DebugStream and fVectorFit |
55a288e5 | 4058 | // |
4059 | ||
3a0f6479 | 4060 | // End of one detector |
79a5b6a3 | 4061 | if (idect == (fCount-1)) { |
3a0f6479 | 4062 | FillVectorFit(); |
4063 | // Reset | |
4064 | for (Int_t k = 0; k < 2304; k++) { | |
4065 | fCurrentCoefDetector[k] = 0.0; | |
4066 | } | |
55a288e5 | 4067 | } |
4068 | ||
3a0f6479 | 4069 | if(fDebugLevel > 1){ |
55a288e5 | 4070 | |
3a0f6479 | 4071 | if ( !fDebugStreamer ) { |
4072 | //debug stream | |
4073 | TDirectory *backup = gDirectory; | |
4aad967c | 4074 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); |
3a0f6479 | 4075 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
4076 | } | |
4077 | ||
4078 | Int_t detector = fCountDet; | |
4079 | Int_t caligroup = idect; | |
4080 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
4081 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
4082 | Short_t colmin = fCalibraMode->GetColMin(0); | |
4083 | Short_t colmax = fCalibraMode->GetColMax(0); | |
4084 | Float_t gf = fCurrentCoef[0]; | |
4085 | Float_t gfs = fCurrentCoef[1]; | |
4086 | Float_t gfE = fCurrentCoefE; | |
4087 | ||
413153cb | 4088 | (*fDebugStreamer) << "FillFillCH" << |
3a0f6479 | 4089 | "detector=" << detector << |
4090 | "caligroup=" << caligroup << | |
4091 | "rowmin=" << rowmin << | |
4092 | "rowmax=" << rowmax << | |
4093 | "colmin=" << colmin << | |
4094 | "colmax=" << colmax << | |
4095 | "gf=" << gf << | |
4096 | "gfs=" << gfs << | |
4097 | "gfE=" << gfE << | |
4098 | "\n"; | |
4099 | ||
4100 | } | |
4101 | } | |
4102 | //________________________________________________________________________________ | |
64942b85 | 4103 | void AliTRDCalibraFit::FillFillPH(Int_t idect,Double_t nentries) |
55a288e5 | 4104 | { |
4105 | // | |
3a0f6479 | 4106 | // DebugStream and fVectorFit and fVectorFit2 |
55a288e5 | 4107 | // |
3a0f6479 | 4108 | |
4109 | // End of one detector | |
79a5b6a3 | 4110 | if (idect == (fCount-1)) { |
3a0f6479 | 4111 | FillVectorFit(); |
4112 | FillVectorFit2(); | |
4113 | // Reset | |
4114 | for (Int_t k = 0; k < 2304; k++) { | |
4115 | fCurrentCoefDetector[k] = 0.0; | |
4116 | fCurrentCoefDetector2[k] = 0.0; | |
4117 | } | |
4118 | } | |
4119 | ||
4120 | if(fDebugLevel > 1){ | |
4121 | ||
4122 | if ( !fDebugStreamer ) { | |
4123 | //debug stream | |
4124 | TDirectory *backup = gDirectory; | |
4aad967c | 4125 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); |
3a0f6479 | 4126 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
4127 | } | |
4128 | ||
4129 | ||
4130 | Int_t detector = fCountDet; | |
4131 | Int_t caligroup = idect; | |
4132 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
4133 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
4134 | Short_t colmin = fCalibraMode->GetColMin(1); | |
4135 | Short_t colmax = fCalibraMode->GetColMax(1); | |
4136 | Float_t vf = fCurrentCoef[0]; | |
4137 | Float_t vs = fCurrentCoef[1]; | |
4138 | Float_t vfE = fCurrentCoefE; | |
4139 | Float_t t0f = fCurrentCoef2[0]; | |
4140 | Float_t t0s = fCurrentCoef2[1]; | |
4141 | Float_t t0E = fCurrentCoefE2; | |
4142 | ||
55a288e5 | 4143 | |
3a0f6479 | 4144 | |
413153cb | 4145 | (* fDebugStreamer) << "FillFillPH"<< |
3a0f6479 | 4146 | "detector="<<detector<< |
64942b85 | 4147 | "nentries="<<nentries<< |
3a0f6479 | 4148 | "caligroup="<<caligroup<< |
4149 | "rowmin="<<rowmin<< | |
4150 | "rowmax="<<rowmax<< | |
4151 | "colmin="<<colmin<< | |
4152 | "colmax="<<colmax<< | |
4153 | "vf="<<vf<< | |
4154 | "vs="<<vs<< | |
4155 | "vfE="<<vfE<< | |
4156 | "t0f="<<t0f<< | |
4157 | "t0s="<<t0s<< | |
4158 | "t0E="<<t0E<< | |
4159 | "\n"; | |
4160 | } | |
55a288e5 | 4161 | |
4162 | } | |
3a0f6479 | 4163 | //________________________________________________________________________________ |
4164 | void AliTRDCalibraFit::FillFillPRF(Int_t idect) | |
4165 | { | |
4166 | // | |
4167 | // DebugStream and fVectorFit | |
4168 | // | |
55a288e5 | 4169 | |
3a0f6479 | 4170 | // End of one detector |
79a5b6a3 | 4171 | if (idect == (fCount-1)) { |
3a0f6479 | 4172 | FillVectorFit(); |
4173 | // Reset | |
4174 | for (Int_t k = 0; k < 2304; k++) { | |
4175 | fCurrentCoefDetector[k] = 0.0; | |
4176 | } | |
4177 | } | |
4178 | ||
4179 | ||
4180 | if(fDebugLevel > 1){ | |
4181 | ||
4182 | if ( !fDebugStreamer ) { | |
4183 | //debug stream | |
4184 | TDirectory *backup = gDirectory; | |
4aad967c | 4185 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 4186 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
4187 | } | |
4188 | ||
4189 | Int_t detector = fCountDet; | |
053767a4 | 4190 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 4191 | Int_t caligroup = idect; |
4192 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
4193 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
4194 | Short_t colmin = fCalibraMode->GetColMin(2); | |
4195 | Short_t colmax = fCalibraMode->GetColMax(2); | |
4196 | Float_t widf = fCurrentCoef[0]; | |
4197 | Float_t wids = fCurrentCoef[1]; | |
4198 | Float_t widfE = fCurrentCoefE; | |
4199 | ||
413153cb | 4200 | (* fDebugStreamer) << "FillFillPRF"<< |
3a0f6479 | 4201 | "detector="<<detector<< |
053767a4 | 4202 | "layer="<<layer<< |
3a0f6479 | 4203 | "caligroup="<<caligroup<< |
4204 | "rowmin="<<rowmin<< | |
4205 | "rowmax="<<rowmax<< | |
4206 | "colmin="<<colmin<< | |
4207 | "colmax="<<colmax<< | |
4208 | "widf="<<widf<< | |
4209 | "wids="<<wids<< | |
4210 | "widfE="<<widfE<< | |
4211 | "\n"; | |
4212 | } | |
4213 | ||
4214 | } | |
4215 | //________________________________________________________________________________ | |
4216 | void AliTRDCalibraFit::FillFillLinearFitter() | |
55a288e5 | 4217 | { |
4218 | // | |
3a0f6479 | 4219 | // DebugStream and fVectorFit |
55a288e5 | 4220 | // |
3a0f6479 | 4221 | |
4222 | // End of one detector | |
4223 | FillVectorFit(); | |
4224 | FillVectorFit2(); | |
4225 | ||
4226 | ||
4227 | // Reset | |
4228 | for (Int_t k = 0; k < 2304; k++) { | |
4229 | fCurrentCoefDetector[k] = 0.0; | |
4230 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 4231 | } |
3a0f6479 | 4232 | |
55a288e5 | 4233 | |
3a0f6479 | 4234 | if(fDebugLevel > 1){ |
55a288e5 | 4235 | |
3a0f6479 | 4236 | if ( !fDebugStreamer ) { |
4237 | //debug stream | |
4238 | TDirectory *backup = gDirectory; | |
4aad967c | 4239 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitLinearFitter.root"); |
3a0f6479 | 4240 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
4241 | } | |
4242 | ||
4243 | //Debug: comparaison of the different methods (okey for first time but not for iterative procedure) | |
053767a4 | 4244 | AliTRDpadPlane *padplane = fGeo->GetPadPlane(GetLayer(fCountDet),GetStack(fCountDet)); |
3a0f6479 | 4245 | Float_t rowmd = (padplane->GetRow0()+padplane->GetRowEnd())/2.; |
053767a4 | 4246 | Float_t r = AliTRDgeometry::GetTime0(GetLayer(fCountDet)); |
3a0f6479 | 4247 | Float_t tiltangle = padplane->GetTiltingAngle(); |
4248 | Int_t detector = fCountDet; | |
053767a4 | 4249 | Int_t stack = GetStack(fCountDet); |
4250 | Int_t layer = GetLayer(fCountDet); | |
3a0f6479 | 4251 | Float_t vf = fCurrentCoef[0]; |
4252 | Float_t vs = fCurrentCoef[1]; | |
4253 | Float_t vfE = fCurrentCoefE; | |
4254 | Float_t lorentzangler = fCurrentCoef2[0]; | |
e6381f8e | 4255 | Float_t elorentzangler = fCurrentCoefE2; |
3a0f6479 | 4256 | Float_t lorentzangles = fCurrentCoef2[1]; |
4257 | ||
413153cb | 4258 | (* fDebugStreamer) << "FillFillLinearFitter"<< |
3a0f6479 | 4259 | "detector="<<detector<< |
053767a4 | 4260 | "stack="<<stack<< |
4261 | "layer="<<layer<< | |
3a0f6479 | 4262 | "rowmd="<<rowmd<< |
4263 | "r="<<r<< | |
4264 | "tiltangle="<<tiltangle<< | |
4265 | "vf="<<vf<< | |
4266 | "vs="<<vs<< | |
4267 | "vfE="<<vfE<< | |
4268 | "lorentzangler="<<lorentzangler<< | |
e6381f8e | 4269 | "Elorentzangler="<<elorentzangler<< |
3a0f6479 | 4270 | "lorentzangles="<<lorentzangles<< |
4271 | "\n"; | |
4272 | } | |
4273 | ||
a0bb5615 | 4274 | } |
4275 | //________________________________________________________________________________ | |
4276 | void AliTRDCalibraFit::FillFillExbAlt() | |
4277 | { | |
4278 | // | |
4279 | // DebugStream and fVectorFit | |
4280 | // | |
4281 | ||
4282 | // End of one detector | |
4283 | FillVectorFit2(); | |
4284 | ||
4285 | ||
4286 | // Reset | |
4287 | for (Int_t k = 0; k < 2304; k++) { | |
4288 | fCurrentCoefDetector2[k] = 0.0; | |
4289 | } | |
4290 | ||
4291 | ||
4292 | if(fDebugLevel > 1){ | |
4293 | ||
4294 | if ( !fDebugStreamer ) { | |
4295 | //debug stream | |
4296 | TDirectory *backup = gDirectory; | |
4297 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitExbAlt.root"); | |
4298 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
4299 | } | |
4300 | ||
4301 | //Debug: comparaison of the different methods (okey for first time but not for iterative procedure) | |
4302 | AliTRDpadPlane *padplane = fGeo->GetPadPlane(GetLayer(fCountDet),GetStack(fCountDet)); | |
4303 | Float_t rowmd = (padplane->GetRow0()+padplane->GetRowEnd())/2.; | |
4304 | Float_t r = AliTRDgeometry::GetTime0(GetLayer(fCountDet)); | |
4305 | Float_t tiltangle = padplane->GetTiltingAngle(); | |
4306 | Int_t detector = fCountDet; | |
4307 | Int_t stack = GetStack(fCountDet); | |
4308 | Int_t layer = GetLayer(fCountDet); | |
4309 | Float_t vf = fCurrentCoef2[0]; | |
4310 | Float_t vfE = fCurrentCoefE2; | |
4311 | ||
4312 | (* fDebugStreamer) << "FillFillLinearFitter"<< | |
4313 | "detector="<<detector<< | |
4314 | "stack="<<stack<< | |
4315 | "layer="<<layer<< | |
4316 | "rowmd="<<rowmd<< | |
4317 | "r="<<r<< | |
4318 | "tiltangle="<<tiltangle<< | |
4319 | "vf="<<vf<< | |
4320 | "vfE="<<vfE<< | |
4321 | "\n"; | |
4322 | } | |
4323 | ||
3a0f6479 | 4324 | } |
55a288e5 | 4325 | // |
4326 | //____________Calcul Coef Mean_________________________________________________ | |
4327 | // | |
55a288e5 | 4328 | //_____________________________________________________________________________ |
3a0f6479 | 4329 | Bool_t AliTRDCalibraFit::CalculT0CoefMean() |
55a288e5 | 4330 | { |
4331 | // | |
4332 | // For the detector Dect calcul the mean time 0 | |
4333 | // for the calibration group idect from the choosen database | |
4334 | // | |
4335 | ||
3a0f6479 | 4336 | fCurrentCoef2[1] = 0.0; |
4337 | if(fDebugLevel != 1){ | |
64942b85 | 4338 | if(((fCalibraMode->GetNz(1) > 0) || |
4339 | (fCalibraMode->GetNrphi(1) > 0)) && ((fCalibraMode->GetNz(1) != 10) && (fCalibraMode->GetNz(1) != 100))) { | |
4340 | ||
3a0f6479 | 4341 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { |
4342 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
4343 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); | |
55a288e5 | 4344 | } |
3a0f6479 | 4345 | } |
64942b85 | 4346 | |
3a0f6479 | 4347 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); |
64942b85 | 4348 | |
3a0f6479 | 4349 | } |
4350 | else { | |
64942b85 | 4351 | |
3a0f6479 | 4352 | if(!fAccCDB){ |
4353 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
4354 | } | |
4355 | else{ | |
64942b85 | 4356 | |
053767a4 | 4357 | for(Int_t row = 0; row < fGeo->GetRowMax(GetLayer(fCountDet),GetStack(fCountDet),GetSector(fCountDet)); row++){ |
4358 | for(Int_t col = 0; col < fGeo->GetColMax(GetLayer(fCountDet)); col++){ | |
3a0f6479 | 4359 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); |
4360 | } | |
55a288e5 | 4361 | } |
053767a4 | 4362 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fGeo->GetRowMax(GetLayer(fCountDet),GetStack(fCountDet),GetSector(fCountDet)))*(fGeo->GetColMax(GetLayer(fCountDet)))); |
64942b85 | 4363 | |
55a288e5 | 4364 | } |
4365 | } | |
55a288e5 | 4366 | } |
55a288e5 | 4367 | return kTRUE; |
55a288e5 | 4368 | } |
4369 | ||
4370 | //_____________________________________________________________________________ | |
3a0f6479 | 4371 | Bool_t AliTRDCalibraFit::CalculChargeCoefMean(Bool_t vrai) |
55a288e5 | 4372 | { |
4373 | // | |
4374 | // For the detector Dect calcul the mean gain factor | |
4375 | // for the calibration group idect from the choosen database | |
4376 | // | |
4377 | ||
3a0f6479 | 4378 | fCurrentCoef[1] = 0.0; |
4379 | if(fDebugLevel != 1){ | |
64942b85 | 4380 | if (((fCalibraMode->GetNz(0) > 0) || |
4381 | (fCalibraMode->GetNrphi(0) > 0)) && ((fCalibraMode->GetNz(0) != 10) && (fCalibraMode->GetNz(0) != 100))) { | |
3a0f6479 | 4382 | for (Int_t row = fCalibraMode->GetRowMin(0); row < fCalibraMode->GetRowMax(0); row++) { |
4383 | for (Int_t col = fCalibraMode->GetColMin(0); col < fCalibraMode->GetColMax(0); col++) { | |
4384 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
4385 | if (vrai) fScaleFitFactor += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 4386 | } |
4387 | } | |
3a0f6479 | 4388 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0))); |
55a288e5 | 4389 | } |
3a0f6479 | 4390 | else { |
4391 | //Per detectors | |
4392 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
4393 | if (vrai) fScaleFitFactor += ((Float_t) fCalDet->GetValue(fCountDet))*(fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0)); | |
4394 | } | |
55a288e5 | 4395 | } |
55a288e5 | 4396 | return kTRUE; |
55a288e5 | 4397 | } |
55a288e5 | 4398 | //_____________________________________________________________________________ |
3a0f6479 | 4399 | Bool_t AliTRDCalibraFit::CalculPRFCoefMean() |
55a288e5 | 4400 | { |
4401 | // | |
4402 | // For the detector Dect calcul the mean sigma of pad response | |
4403 | // function for the calibration group idect from the choosen database | |
4404 | // | |
3a0f6479 | 4405 | |
4406 | fCurrentCoef[1] = 0.0; | |
4407 | if(fDebugLevel != 1){ | |
55a288e5 | 4408 | for (Int_t row = fCalibraMode->GetRowMin(2); row < fCalibraMode->GetRowMax(2); row++) { |
4409 | for (Int_t col = fCalibraMode->GetColMin(2); col < fCalibraMode->GetColMax(2); col++) { | |
3a0f6479 | 4410 | fCurrentCoef[1] += (Float_t) fCalROC->GetValue(col,row); |
55a288e5 | 4411 | } |
4412 | } | |
3a0f6479 | 4413 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(2)-fCalibraMode->GetColMin(2))*(fCalibraMode->GetRowMax(2)-fCalibraMode->GetRowMin(2))); |
55a288e5 | 4414 | } |
55a288e5 | 4415 | return kTRUE; |
55a288e5 | 4416 | } |
55a288e5 | 4417 | //_____________________________________________________________________________ |
3a0f6479 | 4418 | Bool_t AliTRDCalibraFit::CalculVdriftCoefMean() |
55a288e5 | 4419 | { |
4420 | // | |
4421 | // For the detector dect calcul the mean drift velocity for the | |
4422 | // calibration group idect from the choosen database | |
4423 | // | |
4424 | ||
3a0f6479 | 4425 | fCurrentCoef[1] = 0.0; |
4426 | if(fDebugLevel != 1){ | |
64942b85 | 4427 | if (((fCalibraMode->GetNz(1) > 0) || |
4428 | (fCalibraMode->GetNrphi(1) > 0)) && ((fCalibraMode->GetNz(1) != 10) && (fCalibraMode->GetNz(1) != 100))) { | |
4429 | ||
3a0f6479 | 4430 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { |
4431 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
4432 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 4433 | } |
4434 | } | |
64942b85 | 4435 | |
3a0f6479 | 4436 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); |
64942b85 | 4437 | |
55a288e5 | 4438 | } |
3a0f6479 | 4439 | else { |
4440 | //per detectors | |
4441 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
4442 | } | |
55a288e5 | 4443 | } |
55a288e5 | 4444 | return kTRUE; |
55a288e5 | 4445 | } |
3a0f6479 | 4446 | //_____________________________________________________________________________ |
4447 | Bool_t AliTRDCalibraFit::CalculVdriftLorentzCoef() | |
4448 | { | |
4449 | // | |
4450 | // For the detector fCountDet, mean drift velocity and tan lorentzangle | |
4451 | // | |
4452 | ||
840ec79d | 4453 | fCurrentCoef[1] = fCalDetVdriftUsed->GetValue(fCountDet); |
4454 | fCurrentCoef2[1] = fCalDetExBUsed->GetValue(fCountDet); | |
55a288e5 | 4455 | |
3a0f6479 | 4456 | return kTRUE; |
4457 | } | |
55a288e5 | 4458 | //_____________________________________________________________________________ |
053767a4 | 4459 | Float_t AliTRDCalibraFit::GetPRFDefault(Int_t layer) const |
55a288e5 | 4460 | { |
4461 | // | |
4462 | // Default width of the PRF if there is no database as reference | |
4463 | // | |
053767a4 | 4464 | switch(layer) |
3a0f6479 | 4465 | { |
4466 | // default database | |
4467 | //case 0: return 0.515; | |
4468 | //case 1: return 0.502; | |
4469 | //case 2: return 0.491; | |
4470 | //case 3: return 0.481; | |
4471 | //case 4: return 0.471; | |
4472 | //case 5: return 0.463; | |
4473 | //default: return 0.0; | |
4474 | ||
4475 | // fit database | |
4476 | case 0: return 0.538429; | |
4477 | case 1: return 0.524302; | |
4478 | case 2: return 0.511591; | |
4479 | case 3: return 0.500140; | |
4480 | case 4: return 0.489821; | |
4481 | case 5: return 0.480524; | |
4482 | default: return 0.0; | |
55a288e5 | 4483 | } |
3a0f6479 | 4484 | } |
4485 | //________________________________________________________________________________ | |
4486 | void AliTRDCalibraFit::SetCalROC(Int_t i) | |
4487 | { | |
4488 | // | |
4489 | // Set the calib object for fCountDet | |
4490 | // | |
4491 | ||
4492 | Float_t value = 0.0; | |
4493 | ||
4494 | //Get the CalDet object | |
4495 | if(fAccCDB){ | |
4496 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
4497 | if (!cal) { | |
4498 | AliInfo("Could not get calibDB"); | |
4499 | return; | |
4500 | } | |
4501 | switch (i) | |
4502 | { | |
4503 | case 0: | |
64942b85 | 4504 | if( fCalROC ){ |
4505 | fCalROC->~AliTRDCalROC(); | |
4506 | new(fCalROC) AliTRDCalROC(*(cal->GetGainFactorROC(fCountDet))); | |
4507 | }else fCalROC = new AliTRDCalROC(*(cal->GetGainFactorROC(fCountDet))); | |
3a0f6479 | 4508 | break; |
4509 | case 1: | |
64942b85 | 4510 | if( fCalROC ){ |
4511 | fCalROC->~AliTRDCalROC(); | |
4512 | new(fCalROC) AliTRDCalROC(*(cal->GetVdriftROC(fCountDet))); | |
4513 | }else fCalROC = new AliTRDCalROC(*(cal->GetVdriftROC(fCountDet))); | |
4514 | if( fCalROC2 ){ | |
4515 | fCalROC2->~AliTRDCalROC(); | |
4516 | new(fCalROC2) AliTRDCalROC(*(cal->GetT0ROC(fCountDet))); | |
4517 | }else fCalROC2 = new AliTRDCalROC(*(cal->GetT0ROC(fCountDet))); | |
3a0f6479 | 4518 | break; |
4519 | case 2: | |
64942b85 | 4520 | if( fCalROC ){ |
4521 | fCalROC->~AliTRDCalROC(); | |
4522 | new(fCalROC) AliTRDCalROC(*(cal->GetPRFROC(fCountDet))); | |
4523 | }else fCalROC = new AliTRDCalROC(*(cal->GetPRFROC(fCountDet))); | |
4524 | break; | |
3a0f6479 | 4525 | default: return; |
4526 | } | |
55a288e5 | 4527 | } |
3a0f6479 | 4528 | else{ |
4529 | switch (i) | |
4530 | { | |
4531 | case 0: | |
4532 | if(fCalROC) delete fCalROC; | |
053767a4 | 4533 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); |
3a0f6479 | 4534 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
4535 | fCalROC->SetValue(k,1.0); | |
4536 | } | |
4537 | break; | |
4538 | case 1: | |
4539 | if(fCalROC) delete fCalROC; | |
4540 | if(fCalROC2) delete fCalROC2; | |
053767a4 | 4541 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); |
4542 | fCalROC2 = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); | |
3a0f6479 | 4543 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
4544 | fCalROC->SetValue(k,1.0); | |
4545 | fCalROC2->SetValue(k,0.0); | |
4546 | } | |
4547 | break; | |
4548 | case 2: | |
4549 | if(fCalROC) delete fCalROC; | |
053767a4 | 4550 | value = GetPRFDefault(GetLayer(fCountDet)); |
4551 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); | |
3a0f6479 | 4552 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
4553 | fCalROC->SetValue(k,value); | |
4554 | } | |
4555 | break; | |
4556 | default: return; | |
4557 | } | |
55a288e5 | 4558 | } |
4559 | ||
4560 | } | |
55a288e5 | 4561 | //____________Fit Methods______________________________________________________ |
4562 | ||
4563 | //_____________________________________________________________________________ | |
3a0f6479 | 4564 | void AliTRDCalibraFit::FitPente(TH1* projPH) |
55a288e5 | 4565 | { |
4566 | // | |
4567 | // Slope methode for the drift velocity | |
4568 | // | |
4569 | ||
4570 | // Constants | |
4571 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 4572 | Int_t binmax = 0; |
4573 | Int_t binmin = 0; | |
4574 | fPhd[0] = 0.0; | |
4575 | fPhd[1] = 0.0; | |
4576 | fPhd[2] = 0.0; | |
4577 | Int_t ju = 0; | |
4578 | fCurrentCoefE = 0.0; | |
4579 | fCurrentCoefE2 = 0.0; | |
4580 | fCurrentCoef[0] = 0.0; | |
4581 | fCurrentCoef2[0] = 0.0; | |
4582 | TLine *line = new TLine(); | |
55a288e5 | 4583 | |
4584 | // Some variables | |
4585 | TAxis *xpph = projPH->GetXaxis(); | |
4586 | Int_t nbins = xpph->GetNbins(); | |
4587 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
4588 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
4589 | Double_t widbins = (upedge - lowedge) / nbins; | |
4590 | Double_t limit = upedge + 0.5 * widbins; | |
4591 | Bool_t put = kTRUE; | |
4592 | ||
4593 | // Beginning of the signal | |
4594 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
4595 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
4596 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4597 | } | |
55a288e5 | 4598 | binmax = (Int_t) pentea->GetMaximumBin(); |
55a288e5 | 4599 | if (binmax <= 1) { |
4600 | binmax = 2; | |
4601 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4602 | } | |
4603 | if (binmax >= nbins) { | |
4604 | binmax = nbins-1; | |
4605 | put = kFALSE; | |
4606 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
4607 | } | |
4608 | pentea->Fit("pol2","0MR","",TMath::Max(pentea->GetBinCenter(binmax-1),0.0),pentea->GetBinCenter(binmax+1)); | |
4609 | Float_t l3P1am = pentea->GetFunction("pol2")->GetParameter(1); | |
4610 | Float_t l3P2am = pentea->GetFunction("pol2")->GetParameter(2); | |
4611 | Float_t l3P1amE = pentea->GetFunction("pol2")->GetParError(1); | |
4612 | Float_t l3P2amE = pentea->GetFunction("pol2")->GetParError(2); | |
daa7dc79 | 4613 | if (TMath::Abs(l3P2am) > 0.00000001) { |
55a288e5 | 4614 | fPhd[0] = -(l3P1am / (2 * l3P2am)); |
4615 | } | |
4616 | if(!fTakeTheMaxPH){ | |
daa7dc79 | 4617 | if((TMath::Abs(l3P1am) > 0.0000000001) && (TMath::Abs(l3P2am) > 0.00000000001)){ |
3a0f6479 | 4618 | fCurrentCoefE2 = (l3P1amE/l3P1am + l3P2amE/l3P2am)*fPhd[0]; |
55a288e5 | 4619 | } |
4620 | } | |
55a288e5 | 4621 | // Amplification region |
4622 | binmax = 0; | |
4623 | ju = 0; | |
4624 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 4625 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 4626 | binmax = kbin; |
4627 | ju = 1; | |
4628 | } | |
4629 | } | |
55a288e5 | 4630 | if (binmax <= 1) { |
4631 | binmax = 2; | |
4632 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4633 | } | |
4634 | if (binmax >= nbins) { | |
4635 | binmax = nbins-1; | |
4636 | put = kFALSE; | |
4637 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
4638 | } | |
4639 | projPH->Fit("pol2","0MR","",TMath::Max(projPH->GetBinCenter(binmax-1),0.0),projPH->GetBinCenter(binmax+1)); | |
4640 | Float_t l3P1amf = projPH->GetFunction("pol2")->GetParameter(1); | |
4641 | Float_t l3P2amf = projPH->GetFunction("pol2")->GetParameter(2); | |
4642 | Float_t l3P1amfE = projPH->GetFunction("pol2")->GetParError(1); | |
4643 | Float_t l3P2amfE = projPH->GetFunction("pol2")->GetParError(2); | |
daa7dc79 | 4644 | if (TMath::Abs(l3P2amf) > 0.00000000001) { |
55a288e5 | 4645 | fPhd[1] = -(l3P1amf / (2 * l3P2amf)); |
4646 | } | |
daa7dc79 | 4647 | if((TMath::Abs(l3P1amf) > 0.0000000001) && (TMath::Abs(l3P2amf) > 0.000000001)){ |
3a0f6479 | 4648 | fCurrentCoefE = (l3P1amfE/l3P1amf + l3P2amfE/l3P2amf)*fPhd[1]; |
55a288e5 | 4649 | } |
4650 | if(fTakeTheMaxPH){ | |
3a0f6479 | 4651 | fCurrentCoefE2 = fCurrentCoefE; |
55a288e5 | 4652 | } |
55a288e5 | 4653 | // Drift region |
4654 | TH1D *pente = new TH1D("pente","pente",projPH->GetNbinsX(),0,(Float_t) limit); | |
4655 | for (Int_t k = TMath::Min(binmax+4,projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
4656 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4657 | } | |
4658 | binmin = 0; | |
4659 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
4660 | if (binmin <= 1) { | |
4661 | binmin = 2; | |
4662 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4663 | } | |
4664 | if (binmin >= nbins) { | |
4665 | binmin = nbins-1; | |
4666 | put = kFALSE; | |
4667 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
4668 | } | |
55a288e5 | 4669 | pente->Fit("pol2" |
4670 | ,"0MR" | |
4671 | ,"" | |
4672 | ,TMath::Max(pente->GetBinCenter(binmin-1), 0.0) | |
4673 | ,TMath::Min(pente->GetBinCenter(binmin+1),(Double_t) limit)); | |
4674 | Float_t l3P1dr = pente->GetFunction("pol2")->GetParameter(1); | |
4675 | Float_t l3P2dr = pente->GetFunction("pol2")->GetParameter(2); | |
4676 | Float_t l3P1drE = pente->GetFunction("pol2")->GetParError(1); | |
4677 | Float_t l3P2drE = pente->GetFunction("pol2")->GetParError(2); | |
daa7dc79 | 4678 | if (TMath::Abs(l3P2dr) > 0.00000001) { |
55a288e5 | 4679 | fPhd[2] = -(l3P1dr / (2 * l3P2dr)); |
4680 | } | |
daa7dc79 | 4681 | if((TMath::Abs(l3P1dr) > 0.0000000001) && (TMath::Abs(l3P2dr) > 0.00000000001)){ |
3a0f6479 | 4682 | fCurrentCoefE += (l3P1drE/l3P1dr + l3P2drE/l3P2dr)*fPhd[2]; |
55a288e5 | 4683 | } |
413153cb | 4684 | Float_t fPhdt0 = 0.0; |
4685 | Float_t t0Shift = 0.0; | |
4686 | if(fTakeTheMaxPH) { | |
4687 | fPhdt0 = fPhd[1]; | |
4688 | t0Shift = fT0Shift1; | |
4689 | } | |
4690 | else { | |
4691 | fPhdt0 = fPhd[0]; | |
4692 | t0Shift = fT0Shift0; | |
4693 | } | |
55a288e5 | 4694 | |
4695 | if ((fPhd[2] > fPhd[0]) && | |
4696 | (fPhd[2] > fPhd[1]) && | |
4697 | (fPhd[1] > fPhd[0]) && | |
4698 | (put)) { | |
3a0f6479 | 4699 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
4700 | fNumberFitSuccess++; | |
4701 | ||
55a288e5 | 4702 | if (fPhdt0 >= 0.0) { |
413153cb | 4703 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; |
b88b6bcc | 4704 | if (fCurrentCoef2[0] < -3.0) { |
64942b85 | 4705 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4706 | } |
4707 | } | |
4708 | else { | |
64942b85 | 4709 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4710 | } |
3a0f6479 | 4711 | |
55a288e5 | 4712 | } |
4713 | else { | |
3a0f6479 | 4714 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
64942b85 | 4715 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4716 | } |
4717 | ||
3a0f6479 | 4718 | if (fDebugLevel == 1) { |
55a288e5 | 4719 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
4720 | cpentei->cd(); | |
4721 | projPH->Draw(); | |
4722 | line->SetLineColor(2); | |
4723 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
4724 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
4725 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
4726 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
4727 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
4728 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 4729 | AliInfo(Form("fVriftCoef[1] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 4730 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
4731 | cpentei2->cd(); | |
4732 | pentea->Draw(); | |
4733 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
4734 | cpentei3->cd(); | |
4735 | pente->Draw(); | |
4736 | } | |
3a0f6479 | 4737 | else { |
55a288e5 | 4738 | delete pentea; |
55a288e5 | 4739 | delete pente; |
4740 | } | |
55a288e5 | 4741 | } |
55a288e5 | 4742 | //_____________________________________________________________________________ |
3a0f6479 | 4743 | void AliTRDCalibraFit::FitLagrangePoly(TH1* projPH) |
55a288e5 | 4744 | { |
4745 | // | |
4746 | // Slope methode but with polynomes de Lagrange | |
4747 | // | |
6aafa7ea | 4748 | |
55a288e5 | 4749 | // Constants |
4750 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 4751 | Int_t binmax = 0; |
4752 | Int_t binmin = 0; | |
fdc15553 | 4753 | //Double_t *x = new Double_t[5]; |
4754 | //Double_t *y = new Double_t[5]; | |
4755 | Double_t x[5]; | |
4756 | Double_t y[5]; | |
3a0f6479 | 4757 | x[0] = 0.0; |
4758 | x[1] = 0.0; | |
4759 | x[2] = 0.0; | |
4760 | x[3] = 0.0; | |
4761 | x[4] = 0.0; | |
4762 | y[0] = 0.0; | |
4763 | y[1] = 0.0; | |
4764 | y[2] = 0.0; | |
4765 | y[3] = 0.0; | |
4766 | y[4] = 0.0; | |
4767 | fPhd[0] = 0.0; | |
4768 | fPhd[1] = 0.0; | |
4769 | fPhd[2] = 0.0; | |
4770 | Int_t ju = 0; | |
4771 | fCurrentCoefE = 0.0; | |
4772 | fCurrentCoefE2 = 1.0; | |
4773 | fCurrentCoef[0] = 0.0; | |
4774 | fCurrentCoef2[0] = 0.0; | |
55a288e5 | 4775 | TLine *line = new TLine(); |
4776 | TF1 * polynome = 0x0; | |
4777 | TF1 * polynomea = 0x0; | |
4778 | TF1 * polynomeb = 0x0; | |
3b0c1edc | 4779 | Double_t c0 = 0.0; |
4780 | Double_t c1 = 0.0; | |
4781 | Double_t c2 = 0.0; | |
4782 | Double_t c3 = 0.0; | |
4783 | Double_t c4 = 0.0; | |
55a288e5 | 4784 | |
4785 | // Some variables | |
4786 | TAxis *xpph = projPH->GetXaxis(); | |
4787 | Int_t nbins = xpph->GetNbins(); | |
4788 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
4789 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
4790 | Double_t widbins = (upedge - lowedge) / nbins; | |
4791 | Double_t limit = upedge + 0.5 * widbins; | |
4792 | ||
4793 | ||
4794 | Bool_t put = kTRUE; | |
4795 | ||
4f3bd513 | 4796 | /////////////////////////////// |
55a288e5 | 4797 | // Beginning of the signal |
4f3bd513 | 4798 | ////////////////////////////// |
55a288e5 | 4799 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); |
4800 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
4801 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4802 | } | |
4803 | ||
4804 | binmax = (Int_t) pentea->GetMaximumBin(); | |
55a288e5 | 4805 | |
4806 | Double_t minnn = 0.0; | |
4807 | Double_t maxxx = 0.0; | |
4808 | ||
3a0f6479 | 4809 | Int_t kase = nbins-binmax; |
4810 | ||
4811 | switch(kase) | |
4812 | { | |
4813 | case 0: | |
4814 | put = kFALSE; | |
4815 | break; | |
4816 | case 1: | |
4817 | minnn = pentea->GetBinCenter(binmax-2); | |
4818 | maxxx = pentea->GetBinCenter(binmax); | |
4819 | x[0] = pentea->GetBinCenter(binmax-2); | |
4820 | x[1] = pentea->GetBinCenter(binmax-1); | |
4821 | x[2] = pentea->GetBinCenter(binmax); | |
4822 | y[0] = pentea->GetBinContent(binmax-2); | |
4823 | y[1] = pentea->GetBinContent(binmax-1); | |
4824 | y[2] = pentea->GetBinContent(binmax); | |
3b0c1edc | 4825 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
b2277aa2 | 4826 | //AliInfo("At the limit for beginning!"); |
3a0f6479 | 4827 | break; |
4828 | case 2: | |
4829 | minnn = pentea->GetBinCenter(binmax-2); | |
4830 | maxxx = pentea->GetBinCenter(binmax+1); | |
4831 | x[0] = pentea->GetBinCenter(binmax-2); | |
4832 | x[1] = pentea->GetBinCenter(binmax-1); | |
4833 | x[2] = pentea->GetBinCenter(binmax); | |
4834 | x[3] = pentea->GetBinCenter(binmax+1); | |
4835 | y[0] = pentea->GetBinContent(binmax-2); | |
4836 | y[1] = pentea->GetBinContent(binmax-1); | |
4837 | y[2] = pentea->GetBinContent(binmax); | |
4838 | y[3] = pentea->GetBinContent(binmax+1); | |
3b0c1edc | 4839 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4840 | break; |
4841 | default: | |
4842 | switch(binmax){ | |
4843 | case 0: | |
4844 | put = kFALSE; | |
4845 | break; | |
4846 | case 1: | |
4847 | minnn = pentea->GetBinCenter(binmax); | |
4848 | maxxx = pentea->GetBinCenter(binmax+2); | |
4849 | x[0] = pentea->GetBinCenter(binmax); | |
4850 | x[1] = pentea->GetBinCenter(binmax+1); | |
4851 | x[2] = pentea->GetBinCenter(binmax+2); | |
4852 | y[0] = pentea->GetBinContent(binmax); | |
4853 | y[1] = pentea->GetBinContent(binmax+1); | |
4854 | y[2] = pentea->GetBinContent(binmax+2); | |
3b0c1edc | 4855 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4856 | break; |
4857 | case 2: | |
4858 | minnn = pentea->GetBinCenter(binmax-1); | |
4859 | maxxx = pentea->GetBinCenter(binmax+2); | |
4860 | x[0] = pentea->GetBinCenter(binmax-1); | |
4861 | x[1] = pentea->GetBinCenter(binmax); | |
4862 | x[2] = pentea->GetBinCenter(binmax+1); | |
4863 | x[3] = pentea->GetBinCenter(binmax+2); | |
4864 | y[0] = pentea->GetBinContent(binmax-1); | |
4865 | y[1] = pentea->GetBinContent(binmax); | |
4866 | y[2] = pentea->GetBinContent(binmax+1); | |
4867 | y[3] = pentea->GetBinContent(binmax+2); | |
3b0c1edc | 4868 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4869 | break; |
4870 | default: | |
4871 | minnn = pentea->GetBinCenter(binmax-2); | |
4872 | maxxx = pentea->GetBinCenter(binmax+2); | |
4873 | x[0] = pentea->GetBinCenter(binmax-2); | |
4874 | x[1] = pentea->GetBinCenter(binmax-1); | |
4875 | x[2] = pentea->GetBinCenter(binmax); | |
4876 | x[3] = pentea->GetBinCenter(binmax+1); | |
4877 | x[4] = pentea->GetBinCenter(binmax+2); | |
4878 | y[0] = pentea->GetBinContent(binmax-2); | |
4879 | y[1] = pentea->GetBinContent(binmax-1); | |
4880 | y[2] = pentea->GetBinContent(binmax); | |
4881 | y[3] = pentea->GetBinContent(binmax+1); | |
4882 | y[4] = pentea->GetBinContent(binmax+2); | |
3b0c1edc | 4883 | CalculPolynomeLagrange4(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4884 | break; |
4885 | } | |
4886 | break; | |
55a288e5 | 4887 | } |
3a0f6479 | 4888 | |
4889 | ||
55a288e5 | 4890 | if(put) { |
4891 | polynomeb = new TF1("polb","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minnn,maxxx); | |
3b0c1edc | 4892 | polynomeb->SetParameters(c0,c1,c2,c3,c4); |
3a0f6479 | 4893 | |
55a288e5 | 4894 | Double_t step = (maxxx-minnn)/10000; |
4895 | Double_t l = minnn; | |
4896 | Double_t maxvalue = 0.0; | |
4897 | Double_t placemaximum = minnn; | |
4898 | for(Int_t o = 0; o < 10000; o++){ | |
4899 | if(o == 0) maxvalue = polynomeb->Eval(l); | |
4900 | if(maxvalue < (polynomeb->Eval(l))){ | |
4901 | maxvalue = polynomeb->Eval(l); | |
4902 | placemaximum = l; | |
4903 | } | |
4904 | l += step; | |
4905 | } | |
4906 | fPhd[0] = placemaximum; | |
4907 | } | |
55a288e5 | 4908 | |
4f3bd513 | 4909 | ///////////////////////////// |
55a288e5 | 4910 | // Amplification region |
4f3bd513 | 4911 | ///////////////////////////// |
55a288e5 | 4912 | binmax = 0; |
4913 | ju = 0; | |
4914 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 4915 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 4916 | binmax = kbin; |
4917 | ju = 1; | |
4918 | } | |
4919 | } | |
3a0f6479 | 4920 | |
55a288e5 | 4921 | Double_t minn = 0.0; |
4922 | Double_t maxx = 0.0; | |
3a0f6479 | 4923 | x[0] = 0.0; |
4924 | x[1] = 0.0; | |
4925 | x[2] = 0.0; | |
4926 | x[3] = 0.0; | |
4927 | x[4] = 0.0; | |
4928 | y[0] = 0.0; | |
4929 | y[1] = 0.0; | |
4930 | y[2] = 0.0; | |
4931 | y[3] = 0.0; | |
4932 | y[4] = 0.0; | |
4933 | ||
4934 | Int_t kase1 = nbins - binmax; | |
55a288e5 | 4935 | |
4936 | //Determination of minn and maxx | |
4937 | //case binmax = nbins | |
4938 | //pol2 | |
3a0f6479 | 4939 | switch(kase1) |
4940 | { | |
4941 | case 0: | |
4942 | minn = projPH->GetBinCenter(binmax-2); | |
4943 | maxx = projPH->GetBinCenter(binmax); | |
4944 | x[0] = projPH->GetBinCenter(binmax-2); | |
4945 | x[1] = projPH->GetBinCenter(binmax-1); | |
4946 | x[2] = projPH->GetBinCenter(binmax); | |
4947 | y[0] = projPH->GetBinContent(binmax-2); | |
4948 | y[1] = projPH->GetBinContent(binmax-1); | |
4949 | y[2] = projPH->GetBinContent(binmax); | |
3b0c1edc | 4950 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4951 | //AliInfo("At the limit for the drift!"); |
4952 | break; | |
4953 | case 1: | |
4954 | minn = projPH->GetBinCenter(binmax-2); | |
4955 | maxx = projPH->GetBinCenter(binmax+1); | |
4956 | x[0] = projPH->GetBinCenter(binmax-2); | |
4957 | x[1] = projPH->GetBinCenter(binmax-1); | |
4958 | x[2] = projPH->GetBinCenter(binmax); | |
4959 | x[3] = projPH->GetBinCenter(binmax+1); | |
4960 | y[0] = projPH->GetBinContent(binmax-2); | |
4961 | y[1] = projPH->GetBinContent(binmax-1); | |
4962 | y[2] = projPH->GetBinContent(binmax); | |
4963 | y[3] = projPH->GetBinContent(binmax+1); | |
3b0c1edc | 4964 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4965 | break; |
4966 | default: | |
4967 | switch(binmax) | |
4968 | { | |
4969 | case 0: | |
4970 | put = kFALSE; | |
4971 | break; | |
4972 | case 1: | |
4973 | minn = projPH->GetBinCenter(binmax); | |
4974 | maxx = projPH->GetBinCenter(binmax+2); | |
4975 | x[0] = projPH->GetBinCenter(binmax); | |
4976 | x[1] = projPH->GetBinCenter(binmax+1); | |
4977 | x[2] = projPH->GetBinCenter(binmax+2); | |
4978 | y[0] = projPH->GetBinContent(binmax); | |
4979 | y[1] = projPH->GetBinContent(binmax+1); | |
4980 | y[2] = projPH->GetBinContent(binmax+2); | |
3b0c1edc | 4981 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4982 | break; |
4983 | case 2: | |
4984 | minn = projPH->GetBinCenter(binmax-1); | |
4985 | maxx = projPH->GetBinCenter(binmax+2); | |
4986 | x[0] = projPH->GetBinCenter(binmax-1); | |
4987 | x[1] = projPH->GetBinCenter(binmax); | |
4988 | x[2] = projPH->GetBinCenter(binmax+1); | |
4989 | x[3] = projPH->GetBinCenter(binmax+2); | |
4990 | y[0] = projPH->GetBinContent(binmax-1); | |
4991 | y[1] = projPH->GetBinContent(binmax); | |
4992 | y[2] = projPH->GetBinContent(binmax+1); | |
4993 | y[3] = projPH->GetBinContent(binmax+2); | |
3b0c1edc | 4994 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4995 | break; |
4996 | default: | |
4997 | minn = projPH->GetBinCenter(binmax-2); | |
4998 | maxx = projPH->GetBinCenter(binmax+2); | |
4999 | x[0] = projPH->GetBinCenter(binmax-2); | |
5000 | x[1] = projPH->GetBinCenter(binmax-1); | |
5001 | x[2] = projPH->GetBinCenter(binmax); | |
5002 | x[3] = projPH->GetBinCenter(binmax+1); | |
5003 | x[4] = projPH->GetBinCenter(binmax+2); | |
5004 | y[0] = projPH->GetBinContent(binmax-2); | |
5005 | y[1] = projPH->GetBinContent(binmax-1); | |
5006 | y[2] = projPH->GetBinContent(binmax); | |
5007 | y[3] = projPH->GetBinContent(binmax+1); | |
5008 | y[4] = projPH->GetBinContent(binmax+2); | |
3b0c1edc | 5009 | CalculPolynomeLagrange4(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 5010 | break; |
5011 | } | |
5012 | break; | |
55a288e5 | 5013 | } |
3a0f6479 | 5014 | |
55a288e5 | 5015 | if(put) { |
5016 | polynomea = new TF1("pola","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minn,maxx); | |
3b0c1edc | 5017 | polynomea->SetParameters(c0,c1,c2,c3,c4); |
3a0f6479 | 5018 | |
55a288e5 | 5019 | Double_t step = (maxx-minn)/1000; |
5020 | Double_t l = minn; | |
5021 | Double_t maxvalue = 0.0; | |
5022 | Double_t placemaximum = minn; | |
5023 | for(Int_t o = 0; o < 1000; o++){ | |
5024 | if(o == 0) maxvalue = polynomea->Eval(l); | |
5025 | if(maxvalue < (polynomea->Eval(l))){ | |
5026 | maxvalue = polynomea->Eval(l); | |
5027 | placemaximum = l; | |
5028 | } | |
5029 | l += step; | |
5030 | } | |
5031 | fPhd[1] = placemaximum; | |
5032 | } | |
4f3bd513 | 5033 | |
5034 | ////////////////// | |
55a288e5 | 5035 | // Drift region |
4f3bd513 | 5036 | ////////////////// |
5037 | Bool_t putd = kTRUE; | |
55a288e5 | 5038 | TH1D *pente = new TH1D("pente","pente", projPH->GetNbinsX(),0,(Float_t) limit); |
5039 | for (Int_t k = TMath::Min(binmax+4, projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
5040 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
5041 | } | |
5042 | binmin = 0; | |
5043 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
5044 | ||
5045 | //should not happen | |
5046 | if (binmin <= 1) { | |
5047 | binmin = 2; | |
4f3bd513 | 5048 | putd = 1; |
b2277aa2 | 5049 | //AliInfo("Put the binmax from 1 to 2 to enable the fit"); |
55a288e5 | 5050 | } |
5051 | ||
5052 | //check | |
64942b85 | 5053 | if((projPH->GetBinContent(binmin)-projPH->GetBinError(binmin)) < (projPH->GetBinContent(binmin+1))) { |
b2277aa2 | 5054 | //AliInfo("Too many fluctuations at the end!"); |
4f3bd513 | 5055 | putd = kFALSE; |
64942b85 | 5056 | } |
5057 | if((projPH->GetBinContent(binmin)+projPH->GetBinError(binmin)) > (projPH->GetBinContent(binmin-1))) { | |
b2277aa2 | 5058 | //AliInfo("Too many fluctuations at the end!"); |
4f3bd513 | 5059 | putd = kFALSE; |
64942b85 | 5060 | } |
daa7dc79 | 5061 | if(TMath::Abs(pente->GetBinContent(binmin+1)) <= 0.0000000000001){ |
b2277aa2 | 5062 | //AliInfo("No entries for the next bin!"); |
64942b85 | 5063 | pente->SetBinContent(binmin,0); |
5064 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
5065 | } | |
5066 | ||
3a0f6479 | 5067 | |
5068 | x[0] = 0.0; | |
5069 | x[1] = 0.0; | |
5070 | x[2] = 0.0; | |
5071 | x[3] = 0.0; | |
5072 | x[4] = 0.0; | |
5073 | y[0] = 0.0; | |
5074 | y[1] = 0.0; | |
5075 | y[2] = 0.0; | |
5076 | y[3] = 0.0; | |
5077 | y[4] = 0.0; | |
55a288e5 | 5078 | Double_t min = 0.0; |
5079 | Double_t max = 0.0; | |
5080 | Bool_t case1 = kFALSE; | |
5081 | Bool_t case2 = kFALSE; | |
5082 | Bool_t case4 = kFALSE; | |
5083 | ||
5084 | //Determination of min and max | |
5085 | //case binmin <= nbins-3 | |
5086 | //pol4 case 3 | |
5087 | if((binmin <= (nbins-3)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
5088 | min = pente->GetBinCenter(binmin-2); | |
5089 | max = pente->GetBinCenter(binmin+2); | |
5090 | x[0] = pente->GetBinCenter(binmin-2); | |
5091 | x[1] = pente->GetBinCenter(binmin-1); | |
5092 | x[2] = pente->GetBinCenter(binmin); | |
5093 | x[3] = pente->GetBinCenter(binmin+1); | |
5094 | x[4] = pente->GetBinCenter(binmin+2); | |
5095 | y[0] = pente->GetBinContent(binmin-2); | |
5096 | y[1] = pente->GetBinContent(binmin-1); | |
5097 | y[2] = pente->GetBinContent(binmin); | |
5098 | y[3] = pente->GetBinContent(binmin+1); | |
5099 | y[4] = pente->GetBinContent(binmin+2); | |
5100 | //Calcul the polynome de Lagrange | |
3b0c1edc | 5101 | CalculPolynomeLagrange4(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 5102 | //richtung +/- |
5103 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && | |
64942b85 | 5104 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
5105 | //AliInfo("polynome 4 false 1"); | |
4f3bd513 | 5106 | putd = kFALSE; |
64942b85 | 5107 | } |
55a288e5 | 5108 | if(((binmin+3) <= (nbins-1)) && |
5109 | (pente->GetBinContent(binmin+3) <= pente->GetBinContent(binmin+2)) && | |
5110 | ((binmin-3) >= TMath::Min(binmax+4, projPH->GetNbinsX())) && | |
64942b85 | 5111 | (pente->GetBinContent(binmin-3) <= pente->GetBinContent(binmin-2))) { |
b2277aa2 | 5112 | //AliInfo("polynome 4 false 2"); |
4f3bd513 | 5113 | putd = kFALSE; |
64942b85 | 5114 | } |
5115 | // poly 3 | |
55a288e5 | 5116 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && |
64942b85 | 5117 | (pente->GetBinContent(binmin-2) > pente->GetBinContent(binmin-1))) { |
5118 | //AliInfo("polynome 4 case 1"); | |
5119 | case1 = kTRUE; | |
5120 | } | |
55a288e5 | 5121 | if((pente->GetBinContent(binmin+2) > pente->GetBinContent(binmin+1)) && |
64942b85 | 5122 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
5123 | //AliInfo("polynome 4 case 4"); | |
5124 | case4 = kTRUE; | |
5125 | } | |
5126 | ||
55a288e5 | 5127 | } |
5128 | //case binmin = nbins-2 | |
5129 | //pol3 case 1 | |
5130 | if(((binmin == (nbins-2)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
5131 | (case1)){ | |
5132 | min = pente->GetBinCenter(binmin-2); | |
5133 | max = pente->GetBinCenter(binmin+1); | |
5134 | x[0] = pente->GetBinCenter(binmin-2); | |
5135 | x[1] = pente->GetBinCenter(binmin-1); | |
5136 | x[2] = pente->GetBinCenter(binmin); | |
5137 | x[3] = pente->GetBinCenter(binmin+1); | |
5138 | y[0] = pente->GetBinContent(binmin-2); | |
5139 | y[1] = pente->GetBinContent(binmin-1); | |
5140 | y[2] = pente->GetBinContent(binmin); | |
5141 | y[3] = pente->GetBinContent(binmin+1); | |
5142 | //Calcul the polynome de Lagrange | |
3b0c1edc | 5143 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 5144 | //richtung +: nothing |
5145 | //richtung - | |
64942b85 | 5146 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
5147 | //AliInfo("polynome 3- case 2"); | |
5148 | case2 = kTRUE; | |
5149 | } | |
55a288e5 | 5150 | } |
5151 | //pol3 case 4 | |
5152 | if(((binmin <= (nbins-3)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
5153 | (case4)){ | |
5154 | min = pente->GetBinCenter(binmin-1); | |
5155 | max = pente->GetBinCenter(binmin+2); | |
5156 | x[0] = pente->GetBinCenter(binmin-1); | |
5157 | x[1] = pente->GetBinCenter(binmin); | |
5158 | x[2] = pente->GetBinCenter(binmin+1); | |
5159 | x[3] = pente->GetBinCenter(binmin+2); | |
5160 | y[0] = pente->GetBinContent(binmin-1); | |
5161 | y[1] = pente->GetBinContent(binmin); | |
5162 | y[2] = pente->GetBinContent(binmin+1); | |
5163 | y[3] = pente->GetBinContent(binmin+2); | |
5164 | //Calcul the polynome de Lagrange | |
3b0c1edc | 5165 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 5166 | //richtung + |
64942b85 | 5167 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) { |
5168 | //AliInfo("polynome 3+ case 2"); | |
5169 | case2 = kTRUE; | |
5170 | } | |
55a288e5 | 5171 | } |
5172 | //pol2 case 5 | |
5173 | if((binmin <= (nbins-3)) && (binmin == TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
5174 | min = pente->GetBinCenter(binmin); | |
5175 | max = pente->GetBinCenter(binmin+2); | |
5176 | x[0] = pente->GetBinCenter(binmin); | |
5177 | x[1] = pente->GetBinCenter(binmin+1); | |
5178 | x[2] = pente->GetBinCenter(binmin+2); | |
5179 | y[0] = pente->GetBinContent(binmin); | |
5180 | y[1] = pente->GetBinContent(binmin+1); | |
5181 | y[2] = pente->GetBinContent(binmin+2); | |
5182 | //Calcul the polynome de Lagrange | |
3b0c1edc | 5183 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 5184 | //richtung + |
64942b85 | 5185 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) { |
5186 | //AliInfo("polynome 2+ false"); | |
4f3bd513 | 5187 | putd = kFALSE; |
64942b85 | 5188 | } |
55a288e5 | 5189 | } |
5190 | //pol2 case 2 | |
5191 | if(((binmin == (nbins-2)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
5192 | (case2)){ | |
5193 | min = pente->GetBinCenter(binmin-1); | |
5194 | max = pente->GetBinCenter(binmin+1); | |
5195 | x[0] = pente->GetBinCenter(binmin-1); | |
5196 | x[1] = pente->GetBinCenter(binmin); | |
5197 | x[2] = pente->GetBinCenter(binmin+1); | |
5198 | y[0] = pente->GetBinContent(binmin-1); | |
5199 | y[1] = pente->GetBinContent(binmin); | |
5200 | y[2] = pente->GetBinContent(binmin+1); | |
5201 | //Calcul the polynome de Lagrange | |
3b0c1edc | 5202 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 5203 | //richtung +: nothing |
5204 | //richtung -: nothing | |
5205 | } | |
5206 | //case binmin = nbins-1 | |
5207 | //pol2 case 0 | |
5208 | if((binmin == (nbins-1)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
5209 | min = pente->GetBinCenter(binmin-2); | |
5210 | max = pente->GetBinCenter(binmin); | |
5211 | x[0] = pente->GetBinCenter(binmin-2); | |
5212 | x[1] = pente->GetBinCenter(binmin-1); | |
5213 | x[2] = pente->GetBinCenter(binmin); | |
5214 | y[0] = pente->GetBinContent(binmin-2); | |
5215 | y[1] = pente->GetBinContent(binmin-1); | |
5216 | y[2] = pente->GetBinContent(binmin); | |
5217 | //Calcul the polynome de Lagrange | |
3b0c1edc | 5218 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 5219 | //AliInfo("At the limit for the drift!"); |
55a288e5 | 5220 | //fluctuation too big! |
5221 | //richtung +: nothing | |
5222 | //richtung - | |
64942b85 | 5223 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
5224 | //AliInfo("polynome 2- false "); | |
4f3bd513 | 5225 | putd = kFALSE; |
64942b85 | 5226 | } |
55a288e5 | 5227 | } |
5228 | if((binmin == (nbins-1)) && ((binmin-2) < TMath::Min(binmax+4, projPH->GetNbinsX()))) { | |
4f3bd513 | 5229 | putd = kFALSE; |
b2277aa2 | 5230 | //AliInfo("At the limit for the drift and not usable!"); |
55a288e5 | 5231 | } |
5232 | ||
5233 | //pass | |
5234 | if((binmin == (nbins-2)) && ((binmin-1) < TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4f3bd513 | 5235 | putd = kFALSE; |
b2277aa2 | 5236 | //AliInfo("For the drift...problem!"); |
55a288e5 | 5237 | } |
55a288e5 | 5238 | //pass but should not happen |
64942b85 | 5239 | if((binmin <= (nbins-3)) && (binmin < TMath::Min(binmax+6, projPH->GetNbinsX()))){ |
4f3bd513 | 5240 | putd = kFALSE; |
b2277aa2 | 5241 | //AliInfo("For the drift...problem!"); |
55a288e5 | 5242 | } |
3a0f6479 | 5243 | |
4f3bd513 | 5244 | if(putd) { |
55a288e5 | 5245 | polynome = new TF1("pol","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",min,max); |
3b0c1edc | 5246 | polynome->SetParameters(c0,c1,c2,c3,c4); |
55a288e5 | 5247 | //AliInfo(Form("GetMinimum of the function %f",polynome->GetMinimumX())); |
5248 | Double_t step = (max-min)/1000; | |
5249 | Double_t l = min; | |
5250 | Double_t minvalue = 0.0; | |
5251 | Double_t placeminimum = min; | |
5252 | for(Int_t o = 0; o < 1000; o++){ | |
5253 | if(o == 0) minvalue = polynome->Eval(l); | |
5254 | if(minvalue > (polynome->Eval(l))){ | |
5255 | minvalue = polynome->Eval(l); | |
5256 | placeminimum = l; | |
5257 | } | |
5258 | l += step; | |
5259 | } | |
5260 | fPhd[2] = placeminimum; | |
5261 | } | |
64942b85 | 5262 | //printf("La fin %d\n",((Int_t)(fPhd[2]*10.0))+2); |
5263 | if((((Int_t)(fPhd[2]*10.0))+2) >= projPH->GetNbinsX()) fPhd[2] = 0.0; | |
5264 | 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 | 5265 | |
413153cb | 5266 | Float_t fPhdt0 = 0.0; |
5267 | Float_t t0Shift = 0.0; | |
5268 | if(fTakeTheMaxPH) { | |
5269 | fPhdt0 = fPhd[1]; | |
5270 | t0Shift = fT0Shift1; | |
5271 | } | |
5272 | else { | |
5273 | fPhdt0 = fPhd[0]; | |
5274 | t0Shift = fT0Shift0; | |
5275 | } | |
55a288e5 | 5276 | |
5277 | if ((fPhd[2] > fPhd[0]) && | |
5278 | (fPhd[2] > fPhd[1]) && | |
5279 | (fPhd[1] > fPhd[0]) && | |
4f3bd513 | 5280 | (put) && |
5281 | (putd)) { | |
3a0f6479 | 5282 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
6210514c | 5283 | if(fCurrentCoef[0] > 2.5) fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
6aafa7ea | 5284 | else fNumberFitSuccess++; |
55a288e5 | 5285 | if (fPhdt0 >= 0.0) { |
413153cb | 5286 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; |
b88b6bcc | 5287 | //printf("Value of timeoffset %f\n",fCurrentCoef2[0]); |
5288 | if (fCurrentCoef2[0] < -3.0) { | |
64942b85 | 5289 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 5290 | } |
5291 | } | |
5292 | else { | |
64942b85 | 5293 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 5294 | } |
5295 | } | |
5296 | else { | |
b88b6bcc | 5297 | ////printf("Put default %f\n",-TMath::Abs(fCurrentCoef[1])); |
6210514c | 5298 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
5299 | ||
64942b85 | 5300 | if((fPhd[1] > fPhd[0]) && |
5301 | (put)) { | |
5302 | if (fPhdt0 >= 0.0) { | |
5303 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; | |
b88b6bcc | 5304 | if (fCurrentCoef2[0] < -3.0) { |
64942b85 | 5305 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
5306 | } | |
4f3bd513 | 5307 | else fNumberFitSuccess++; |
64942b85 | 5308 | } |
5309 | else { | |
5310 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
5311 | } | |
5312 | } | |
5313 | else{ | |
64942b85 | 5314 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
5315 | //printf("Fit failed!\n"); | |
5316 | } | |
55a288e5 | 5317 | } |
5318 | ||
3a0f6479 | 5319 | if (fDebugLevel == 1) { |
55a288e5 | 5320 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
5321 | cpentei->cd(); | |
5322 | projPH->Draw(); | |
4f3bd513 | 5323 | if(polynomea) polynomea->Draw("same"); |
55a288e5 | 5324 | line->SetLineColor(2); |
5325 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
5326 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
5327 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
5328 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
5329 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
5330 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
4f3bd513 | 5331 | AliInfo(Form("Vdrift (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
5332 | AliInfo(Form("Timeoffset (with only the drift region(default)): %f",(Float_t) fCurrentCoef2[0])); | |
55a288e5 | 5333 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
5334 | cpentei2->cd(); | |
5335 | pentea->Draw(); | |
5336 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
5337 | cpentei3->cd(); | |
5338 | pente->Draw(); | |
5339 | } | |
3a0f6479 | 5340 | else { |
a987273c | 5341 | delete pentea; |
5342 | delete pente; | |
1ca79a00 | 5343 | if(polynome) delete polynome; |
5344 | if(polynomea) delete polynomea; | |
5345 | if(polynomeb) delete polynomeb; | |
fdc15553 | 5346 | //if(x) delete [] x; |
5347 | //if(y) delete [] y; | |
1ca79a00 | 5348 | if(line) delete line; |
5349 | ||
55a288e5 | 5350 | } |
64942b85 | 5351 | |
5352 | //Provisoire | |
5353 | //if(fCurrentCoef[0] > 1.7) fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5354 | //if((fCurrentCoef2[0] > 2.6) || (fCurrentCoef2[0] < 2.1)) fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
b88b6bcc | 5355 | //printf("Value of timeoffset final %f\n",fCurrentCoef2[0]); |
55a288e5 | 5356 | projPH->SetDirectory(0); |
5357 | ||
5358 | } | |
5359 | ||
5360 | //_____________________________________________________________________________ | |
5361 | void AliTRDCalibraFit::FitPH(TH1* projPH, Int_t idect) | |
5362 | { | |
5363 | // | |
5364 | // Fit methode for the drift velocity | |
5365 | // | |
5366 | ||
5367 | // Constants | |
5368 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
5369 | ||
5370 | // Some variables | |
5371 | TAxis *xpph = projPH->GetXaxis(); | |
5372 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
5373 | ||
5374 | TF1 *fPH = new TF1("fPH",AliTRDCalibraFit::PH,-0.05,3.2,6); | |
5375 | fPH->SetParameter(0,0.469); // Scaling | |
5376 | fPH->SetParameter(1,0.18); // Start | |
5377 | fPH->SetParameter(2,0.0857325); // AR | |
5378 | fPH->SetParameter(3,1.89); // DR | |
5379 | fPH->SetParameter(4,0.08); // QA/QD | |
5380 | fPH->SetParameter(5,0.0); // Baseline | |
5381 | ||
5382 | TLine *line = new TLine(); | |
5383 | ||
3a0f6479 | 5384 | fCurrentCoef[0] = 0.0; |
5385 | fCurrentCoef2[0] = 0.0; | |
5386 | fCurrentCoefE = 0.0; | |
5387 | fCurrentCoefE2 = 0.0; | |
55a288e5 | 5388 | |
5389 | if (idect%fFitPHPeriode == 0) { | |
5390 | ||
3a0f6479 | 5391 | AliInfo(Form("The detector %d will be fitted",idect)); |
55a288e5 | 5392 | fPH->SetParameter(0,(projPH->Integral()-(projPH->GetBinContent(1)*projPH->GetNbinsX())) * 0.00028); // Scaling |
5393 | fPH->SetParameter(1,fPhd[0] - 0.1); // Start | |
5394 | fPH->SetParameter(2,fPhd[1] - fPhd[0]); // AR | |
5395 | fPH->SetParameter(3,fPhd[2] - fPhd[1]); // DR | |
5396 | fPH->SetParameter(4,0.225); // QA/QD | |
5397 | fPH->SetParameter(5,(Float_t) projPH->GetBinContent(1)); | |
5398 | ||
3a0f6479 | 5399 | if (fDebugLevel != 1) { |
55a288e5 | 5400 | projPH->Fit(fPH,"0M","",0.0,upedge); |
5401 | } | |
3a0f6479 | 5402 | else { |
55a288e5 | 5403 | TCanvas *cpente = new TCanvas("cpente","cpente",50,50,600,800); |
5404 | cpente->cd(); | |
5405 | projPH->Fit(fPH,"M+","",0.0,upedge); | |
5406 | projPH->Draw("E0"); | |
5407 | line->SetLineColor(4); | |
5408 | line->DrawLine(fPH->GetParameter(1) | |
5409 | ,0 | |
5410 | ,fPH->GetParameter(1) | |
5411 | ,projPH->GetMaximum()); | |
5412 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2) | |
5413 | ,0 | |
5414 | ,fPH->GetParameter(1)+fPH->GetParameter(2) | |
5415 | ,projPH->GetMaximum()); | |
5416 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
5417 | ,0 | |
5418 | ,fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
5419 | ,projPH->GetMaximum()); | |
5420 | } | |
5421 | ||
5422 | if (fPH->GetParameter(3) != 0) { | |
3a0f6479 | 5423 | fNumberFitSuccess++; |
5424 | fCurrentCoef[0] = kDrWidth / (fPH->GetParameter(3)); | |
5425 | fCurrentCoefE = (fPH->GetParError(3)/fPH->GetParameter(3))*fCurrentCoef[0]; | |
5426 | fCurrentCoef2[0] = fPH->GetParameter(1); | |
5427 | fCurrentCoefE2 = fPH->GetParError(1); | |
55a288e5 | 5428 | } |
5429 | else { | |
3a0f6479 | 5430 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
64942b85 | 5431 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 5432 | } |
3a0f6479 | 5433 | |
55a288e5 | 5434 | } |
55a288e5 | 5435 | else { |
5436 | ||
3a0f6479 | 5437 | // Put the default value |
5438 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
64942b85 | 5439 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 5440 | } |
5441 | ||
3a0f6479 | 5442 | if (fDebugLevel != 1) { |
55a288e5 | 5443 | delete fPH; |
5444 | } | |
5445 | ||
5446 | } | |
55a288e5 | 5447 | //_____________________________________________________________________________ |
3a0f6479 | 5448 | Bool_t AliTRDCalibraFit::FitPRFGausMI(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nBins, Float_t xMin, Float_t xMax) |
55a288e5 | 5449 | { |
5450 | // | |
5451 | // Fit methode for the sigma of the pad response function | |
5452 | // | |
3a0f6479 | 5453 | |
5454 | TVectorD param(3); | |
55a288e5 | 5455 | |
3a0f6479 | 5456 | fCurrentCoef[0] = 0.0; |
5457 | fCurrentCoefE = 0.0; | |
5458 | ||
5459 | Double_t ret = FitGausMI(arraye, arraym, arrayme, nBins, xMin, xMax,¶m); | |
5460 | ||
daa7dc79 | 5461 | if(TMath::Abs(ret+4) <= 0.000000001){ |
3a0f6479 | 5462 | fCurrentCoef[0] = -fCurrentCoef[1]; |
5463 | return kFALSE; | |
5464 | } | |
5465 | else { | |
5466 | fNumberFitSuccess++; | |
5467 | fCurrentCoef[0] = param[2]; | |
5468 | fCurrentCoefE = ret; | |
5469 | return kTRUE; | |
5470 | } | |
5471 | } | |
5472 | //_____________________________________________________________________________ | |
7bce990c | 5473 | 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 | 5474 | { |
5475 | // | |
5476 | // Fit methode for the sigma of the pad response function | |
5477 | // | |
5478 | ||
5479 | //We should have at least 3 points | |
5480 | if(nBins <=3) return -4.0; | |
5481 | ||
5482 | TLinearFitter fitter(3,"pol2"); | |
5483 | fitter.StoreData(kFALSE); | |
5484 | fitter.ClearPoints(); | |
5485 | TVectorD par(3); | |
5486 | Float_t binWidth = (xMax-xMin)/(Float_t)nBins; | |
5487 | Float_t entries = 0; | |
5488 | Int_t nbbinwithentries = 0; | |
5489 | for (Int_t i=0; i<nBins; i++){ | |
5490 | entries+=arraye[i]; | |
5491 | if(arraye[i] > 15) nbbinwithentries++; | |
5492 | //printf("entries for i %d: %f\n",i,arraye[i]); | |
5493 | } | |
5494 | if ((entries<700) || (nbbinwithentries < ((Int_t)(nBins/2)))) return -4; | |
5495 | //printf("entries %f\n",entries); | |
5496 | //printf("nbbinwithentries %d\n",nbbinwithentries); | |
5497 | ||
5498 | Int_t npoints=0; | |
5499 | Float_t errorm = 0.0; | |
5500 | Float_t errorn = 0.0; | |
5501 | Float_t error = 0.0; | |
5502 | ||
5503 | // | |
5504 | for (Int_t ibin=0;ibin<nBins; ibin++){ | |
5505 | Float_t entriesI = arraye[ibin]; | |
5506 | Float_t valueI = arraym[ibin]; | |
5507 | Double_t xcenter = 0.0; | |
5508 | Float_t val = 0.0; | |
5509 | if ((entriesI>15) && (valueI>0.0)){ | |
5510 | xcenter = xMin+(ibin+0.5)*binWidth; | |
5511 | errorm = 0.0; | |
5512 | errorn = 0.0; | |
5513 | error = 0.0; | |
7bce990c | 5514 | if(!bError){ |
3a0f6479 | 5515 | if((valueI + 0.01) > 0.0) errorm = TMath::Log((valueI + 0.01)/valueI); |
5516 | if((valueI - 0.01) > 0.0) errorn = TMath::Log((valueI - 0.01)/valueI); | |
5517 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
5518 | } | |
5519 | else{ | |
5520 | if((valueI + arrayme[ibin]) > 0.0) errorm = TMath::Log((valueI + arrayme[ibin])/valueI); | |
5521 | if((valueI - arrayme[ibin]) > 0.0) errorn = TMath::Log((valueI - arrayme[ibin])/valueI); | |
5522 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
5523 | } | |
daa7dc79 | 5524 | if(TMath::Abs(error) < 0.000000001) continue; |
3a0f6479 | 5525 | val = TMath::Log(Float_t(valueI)); |
5526 | fitter.AddPoint(&xcenter,val,error); | |
5527 | npoints++; | |
5528 | } | |
5529 | ||
5530 | if(fDebugLevel > 1){ | |
55a288e5 | 5531 | |
3a0f6479 | 5532 | if ( !fDebugStreamer ) { |
5533 | //debug stream | |
5534 | TDirectory *backup = gDirectory; | |
4aad967c | 5535 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5536 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5537 | } | |
5538 | ||
5539 | Int_t detector = fCountDet; | |
053767a4 | 5540 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5541 | Int_t group = ibin; |
5542 | ||
5543 | (* fDebugStreamer) << "FitGausMIFill"<< | |
5544 | "detector="<<detector<< | |
053767a4 | 5545 | "layer="<<layer<< |
3a0f6479 | 5546 | "nbins="<<nBins<< |
5547 | "group="<<group<< | |
5548 | "entriesI="<<entriesI<< | |
5549 | "valueI="<<valueI<< | |
5550 | "val="<<val<< | |
5551 | "xcenter="<<xcenter<< | |
5552 | "errorm="<<errorm<< | |
5553 | "errorn="<<errorn<< | |
5554 | "error="<<error<< | |
7bce990c | 5555 | "bError="<<bError<< |
3a0f6479 | 5556 | "\n"; |
5557 | } | |
5558 | ||
5559 | } | |
5560 | ||
5561 | if(npoints <=3) return -4.0; | |
5562 | ||
5563 | Double_t chi2 = 0; | |
5564 | if (npoints>3){ | |
5565 | fitter.Eval(); | |
5566 | fitter.GetParameters(par); | |
5567 | chi2 = fitter.GetChisquare()/Float_t(npoints); | |
55a288e5 | 5568 | |
3a0f6479 | 5569 | |
5570 | if (!param) param = new TVectorD(3); | |
daa7dc79 | 5571 | if(TMath::Abs(par[2]) <= 0.000000001) return -4.0; |
3a0f6479 | 5572 | Double_t x = TMath::Sqrt(TMath::Abs(-2*par[2])); |
5573 | Double_t deltax = (fitter.GetParError(2))/x; | |
5574 | Double_t errorparam2 = TMath::Abs(deltax)/(x*x); | |
5575 | chi2 = errorparam2; | |
55a288e5 | 5576 | |
3a0f6479 | 5577 | (*param)[1] = par[1]/(-2.*par[2]); |
5578 | (*param)[2] = 1./TMath::Sqrt(TMath::Abs(-2.*par[2])); | |
5579 | Double_t lnparam0 = par[0]+ par[1]* (*param)[1] + par[2]*(*param)[1]*(*param)[1]; | |
5580 | if ( lnparam0>307 ) return -4; | |
5581 | (*param)[0] = TMath::Exp(lnparam0); | |
5582 | ||
5583 | if(fDebugLevel > 1){ | |
5584 | ||
5585 | if ( !fDebugStreamer ) { | |
5586 | //debug stream | |
5587 | TDirectory *backup = gDirectory; | |
4aad967c | 5588 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5589 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5590 | } | |
5591 | ||
5592 | Int_t detector = fCountDet; | |
053767a4 | 5593 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5594 | |
5595 | ||
5596 | (* fDebugStreamer) << "FitGausMIFit"<< | |
5597 | "detector="<<detector<< | |
053767a4 | 5598 | "layer="<<layer<< |
3a0f6479 | 5599 | "nbins="<<nBins<< |
5600 | "errorsigma="<<chi2<< | |
5601 | "mean="<<(*param)[1]<< | |
5602 | "sigma="<<(*param)[2]<< | |
5603 | "constant="<<(*param)[0]<< | |
5604 | "\n"; | |
5605 | } | |
5606 | } | |
5607 | ||
5608 | if((chi2/(*param)[2]) > 0.1){ | |
7bce990c | 5609 | if(bError){ |
3a0f6479 | 5610 | chi2 = FitGausMI(arraye,arraym,arrayme,nBins,xMin,xMax,param,kFALSE); |
5611 | } | |
5612 | else return -4.0; | |
55a288e5 | 5613 | } |
3a0f6479 | 5614 | |
5615 | if(fDebugLevel == 1){ | |
5616 | TString name("PRF"); | |
5617 | name += (Int_t)xMin; | |
5618 | name += (Int_t)xMax; | |
5619 | TCanvas *c1 = new TCanvas((const char *)name,(const char *)name,50,50,600,800); | |
5620 | c1->cd(); | |
5621 | name += "histo"; | |
5622 | TH1F *histo = new TH1F((const char *)name,(const char *)name,nBins,xMin,xMax); | |
5623 | for(Int_t k = 0; k < nBins; k++){ | |
5624 | histo->SetBinContent(k+1,arraym[k]); | |
5625 | histo->SetBinError(k+1,arrayme[k]); | |
5626 | } | |
5627 | histo->Draw(); | |
5628 | name += "functionf"; | |
5629 | TF1 *f1= new TF1((const char*)name,"[0]*exp(-(x-[1])^2/(2*[2]*[2]))",xMin,xMax); | |
5630 | f1->SetParameter(0, (*param)[0]); | |
5631 | f1->SetParameter(1, (*param)[1]); | |
5632 | f1->SetParameter(2, (*param)[2]); | |
5633 | f1->Draw("same"); | |
5634 | } | |
5635 | ||
5636 | ||
5637 | return chi2; | |
5638 | ||
5639 | } | |
5640 | //_____________________________________________________________________________ | |
5641 | void AliTRDCalibraFit::FitPRF(TH1 *projPRF) | |
5642 | { | |
5643 | // | |
5644 | // Fit methode for the sigma of the pad response function | |
5645 | // | |
55a288e5 | 5646 | |
3a0f6479 | 5647 | fCurrentCoef[0] = 0.0; |
5648 | fCurrentCoefE = 0.0; | |
5649 | ||
5650 | if (fDebugLevel != 1) { | |
5651 | projPRF->Fit("gaus","0M","",-fRangeFitPRF,fRangeFitPRF); | |
5652 | } | |
5653 | else { | |
55a288e5 | 5654 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); |
5655 | cfit->cd(); | |
5656 | projPRF->Fit("gaus","M+","",-fRangeFitPRF,fRangeFitPRF); | |
5657 | projPRF->Draw(); | |
55a288e5 | 5658 | } |
3a0f6479 | 5659 | fCurrentCoef[0] = projPRF->GetFunction("gaus")->GetParameter(2); |
5660 | fCurrentCoefE = projPRF->GetFunction("gaus")->GetParError(2); | |
5661 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
55a288e5 | 5662 | else { |
3a0f6479 | 5663 | fNumberFitSuccess++; |
55a288e5 | 5664 | } |
3a0f6479 | 5665 | } |
5666 | //_____________________________________________________________________________ | |
5667 | void AliTRDCalibraFit::RmsPRF(TH1 *projPRF) | |
5668 | { | |
5669 | // | |
5670 | // Fit methode for the sigma of the pad response function | |
5671 | // | |
5672 | fCurrentCoef[0] = 0.0; | |
5673 | fCurrentCoefE = 0.0; | |
5674 | if (fDebugLevel == 1) { | |
5675 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); | |
5676 | cfit->cd(); | |
5677 | projPRF->Draw(); | |
55a288e5 | 5678 | } |
3a0f6479 | 5679 | fCurrentCoef[0] = projPRF->GetRMS(); |
5680 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
5681 | else { | |
5682 | fNumberFitSuccess++; | |
55a288e5 | 5683 | } |
55a288e5 | 5684 | } |
55a288e5 | 5685 | //_____________________________________________________________________________ |
3a0f6479 | 5686 | void AliTRDCalibraFit::FitTnpRange(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nbg, Int_t nybins) |
55a288e5 | 5687 | { |
5688 | // | |
3a0f6479 | 5689 | // Fit methode for the sigma of the pad response function with 2*nbg tan bins |
55a288e5 | 5690 | // |
5691 | ||
3a0f6479 | 5692 | TLinearFitter linearfitter = TLinearFitter(3,"pol2"); |
55a288e5 | 5693 | |
55a288e5 | 5694 | |
3a0f6479 | 5695 | Int_t nbins = (Int_t)(nybins/(2*nbg)); |
5696 | Float_t lowedge = -3.0*nbg; | |
5697 | Float_t upedge = lowedge + 3.0; | |
5698 | Int_t offset = 0; | |
5699 | Int_t npoints = 0; | |
5700 | Double_t xvalues = -0.2*nbg+0.1; | |
5701 | Double_t y = 0.0; | |
5702 | Int_t total = 2*nbg; | |
55a288e5 | 5703 | |
3a0f6479 | 5704 | |
5705 | for(Int_t k = 0; k < total; k++){ | |
5706 | if(FitPRFGausMI(arraye+offset, arraym+offset, arrayme+offset, nbins, lowedge, upedge)){ | |
5707 | npoints++; | |
5708 | y = fCurrentCoef[0]*fCurrentCoef[0]; | |
5709 | linearfitter.AddPoint(&xvalues,y,2*fCurrentCoefE*fCurrentCoef[0]); | |
5710 | } | |
5711 | ||
5712 | if(fDebugLevel > 1){ | |
5713 | ||
5714 | if ( !fDebugStreamer ) { | |
5715 | //debug stream | |
5716 | TDirectory *backup = gDirectory; | |
4aad967c | 5717 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5718 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5719 | } | |
5720 | ||
5721 | Int_t detector = fCountDet; | |
053767a4 | 5722 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5723 | Int_t nbtotal = total; |
5724 | Int_t group = k; | |
5725 | Float_t low = lowedge; | |
5726 | Float_t up = upedge; | |
5727 | Float_t tnp = xvalues; | |
5728 | Float_t wid = fCurrentCoef[0]; | |
5729 | Float_t widfE = fCurrentCoefE; | |
5730 | ||
413153cb | 5731 | (* fDebugStreamer) << "FitTnpRange0"<< |
3a0f6479 | 5732 | "detector="<<detector<< |
053767a4 | 5733 | "layer="<<layer<< |
3a0f6479 | 5734 | "nbtotal="<<nbtotal<< |
5735 | "group="<<group<< | |
5736 | "low="<<low<< | |
5737 | "up="<<up<< | |
5738 | "offset="<<offset<< | |
5739 | "tnp="<<tnp<< | |
5740 | "wid="<<wid<< | |
5741 | "widfE="<<widfE<< | |
5742 | "\n"; | |
5743 | } | |
5744 | ||
5745 | offset += nbins; | |
5746 | lowedge += 3.0; | |
5747 | upedge += 3.0; | |
5748 | xvalues += 0.2; | |
5749 | ||
5750 | } | |
5751 | ||
5752 | fCurrentCoefE = 0.0; | |
5753 | fCurrentCoef[0] = 0.0; | |
5754 | ||
5755 | //printf("npoints\n",npoints); | |
5756 | ||
5757 | if(npoints < 3){ | |
5758 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5759 | } | |
5760 | else{ | |
5761 | ||
5762 | TVectorD pars0; | |
5763 | linearfitter.Eval(); | |
5764 | linearfitter.GetParameters(pars0); | |
92c79bd7 | 5765 | // Coverity |
5766 | //Double_t pointError0 = TMath::Sqrt(linearfitter.GetChisquare()/npoints); | |
5767 | //Double_t errorsx0 = linearfitter.GetParError(2)*pointError0; | |
3a0f6479 | 5768 | Double_t min0 = 0.0; |
81f82b26 | 5769 | // Coverity |
5770 | //Double_t ermin0 = 0.0; | |
3a0f6479 | 5771 | //Double_t prfe0 = 0.0; |
5772 | Double_t prf0 = 0.0; | |
daa7dc79 | 5773 | if((pars0[2] > 0.000000000001) && (TMath::Abs(pars0[1]) >= 0.000000000001)) { |
3a0f6479 | 5774 | min0 = -pars0[1]/(2*pars0[2]); |
81f82b26 | 5775 | // Coverity |
5776 | //ermin0 = TMath::Abs(min0*(errorsx0/pars0[2]+linearfitter.GetParError(1)*pointError0/pars0[1])); | |
3a0f6479 | 5777 | prf0 = pars0[0]+pars0[1]*min0+pars0[2]*min0*min0; |
5778 | if(prf0 > 0.0) { | |
5779 | /* | |
5780 | prfe0 = linearfitter->GetParError(0)*pointError0 | |
5781 | +(linearfitter->GetParError(1)*pointError0/pars0[1]+ermin0/min0)*pars0[1]*min0 | |
5782 | +(linearfitter->GetParError(2)*pointError0/pars0[2]+2*ermin0/min0)*pars0[2]*min0*min0; | |
5783 | prfe0 = prfe0/(2*TMath::Sqrt(prf0)); | |
5784 | fCurrentCoefE = (Float_t) prfe0; | |
5785 | */ | |
5786 | fCurrentCoef[0] = (Float_t) TMath::Sqrt(TMath::Abs(prf0)); | |
5787 | } | |
5788 | else{ | |
5789 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5790 | } | |
5791 | } | |
5792 | else { | |
5793 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5794 | } | |
55a288e5 | 5795 | |
3a0f6479 | 5796 | if(fDebugLevel > 1){ |
5797 | ||
5798 | if ( !fDebugStreamer ) { | |
5799 | //debug stream | |
5800 | TDirectory *backup = gDirectory; | |
4aad967c | 5801 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5802 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5803 | } | |
5804 | ||
5805 | Int_t detector = fCountDet; | |
053767a4 | 5806 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5807 | Int_t nbtotal = total; |
5808 | Double_t colsize[6] = {0.635,0.665,0.695,0.725,0.755,0.785}; | |
053767a4 | 5809 | Double_t sigmax = TMath::Sqrt(TMath::Abs(pars0[2]))*10000*colsize[layer]; |
3a0f6479 | 5810 | |
413153cb | 5811 | (* fDebugStreamer) << "FitTnpRange1"<< |
3a0f6479 | 5812 | "detector="<<detector<< |
053767a4 | 5813 | "layer="<<layer<< |
3a0f6479 | 5814 | "nbtotal="<<nbtotal<< |
5815 | "par0="<<pars0[0]<< | |
5816 | "par1="<<pars0[1]<< | |
5817 | "par2="<<pars0[2]<< | |
5818 | "npoints="<<npoints<< | |
5819 | "sigmax="<<sigmax<< | |
5820 | "tan="<<min0<< | |
5821 | "sigmaprf="<<fCurrentCoef[0]<< | |
5822 | "sigprf="<<fCurrentCoef[1]<< | |
5823 | "\n"; | |
5824 | } | |
5825 | ||
55a288e5 | 5826 | } |
5827 | ||
5828 | } | |
55a288e5 | 5829 | //_____________________________________________________________________________ |
3a0f6479 | 5830 | void AliTRDCalibraFit::FitMean(TH1 *projch, Double_t nentries, Double_t mean) |
55a288e5 | 5831 | { |
5832 | // | |
5833 | // Only mean methode for the gain factor | |
5834 | // | |
5835 | ||
3a0f6479 | 5836 | fCurrentCoef[0] = mean; |
5837 | fCurrentCoefE = 0.0; | |
5838 | if(nentries > 0) fCurrentCoefE = projch->GetRMS()/TMath::Sqrt(nentries); | |
5839 | if (fDebugLevel == 1) { | |
55a288e5 | 5840 | TCanvas *cpmean = new TCanvas("cpmean","cpmean",50,50,600,800); |
5841 | cpmean->cd(); | |
5842 | projch->Draw(); | |
5843 | } | |
3a0f6479 | 5844 | CalculChargeCoefMean(kTRUE); |
5845 | fNumberFitSuccess++; | |
55a288e5 | 5846 | } |
55a288e5 | 5847 | //_____________________________________________________________________________ |
3a0f6479 | 5848 | void AliTRDCalibraFit::FitMeanW(TH1 *projch, Double_t nentries) |
55a288e5 | 5849 | { |
5850 | // | |
5851 | // mean w methode for the gain factor | |
5852 | // | |
5853 | ||
5854 | //Number of bins | |
5855 | Int_t nybins = projch->GetNbinsX(); | |
5856 | ||
5857 | //The weight function | |
5858 | Double_t a = 0.00228515; | |
5859 | Double_t b = -0.00231487; | |
5860 | Double_t c = 0.00044298; | |
5861 | Double_t d = -0.00379239; | |
5862 | Double_t e = 0.00338349; | |
5863 | ||
3a0f6479 | 5864 | // 0 |0.00228515 |
5865 | // 1 |-0.00231487 | |
5866 | // 2 |0.00044298 | |
5867 | // 3 |-0.00379239 | |
5868 | // 4 |0.00338349 | |
5869 | ||
5870 | ||
55a288e5 | 5871 | |
5872 | //A arbitrary error for the moment | |
3a0f6479 | 5873 | fCurrentCoefE = 0.0; |
5874 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 5875 | |
5876 | //Calcul | |
5877 | Double_t sumw = 0.0; | |
5878 | Double_t sum = 0.0; | |
3a0f6479 | 5879 | Float_t sumAll = (Float_t) nentries; |
55a288e5 | 5880 | Int_t sumCurrent = 0; |
5881 | for(Int_t k = 0; k <nybins; k++){ | |
5882 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
595cfc12 | 5883 | if (fraction<fOutliersFitChargeLow) { |
5884 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
5885 | //printf("Take only after bin %d\n",k); | |
5886 | continue; | |
5887 | } | |
5888 | if (fraction>fOutliersFitChargeHigh) { | |
5889 | //printf("Break by the bin %d\n",k); | |
5890 | break; | |
5891 | } | |
55a288e5 | 5892 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ |
5893 | e*fraction*fraction*fraction*fraction; | |
5894 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
5895 | sum += weight*projch->GetBinContent(k+1); | |
5896 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
5897 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
5898 | } | |
3a0f6479 | 5899 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 5900 | |
3a0f6479 | 5901 | if (fDebugLevel == 1) { |
55a288e5 | 5902 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); |
5903 | cpmeanw->cd(); | |
5904 | projch->Draw(); | |
595cfc12 | 5905 | TLine *line = new TLine(fCurrentCoef[0],0.0,fCurrentCoef[0],20000.0); |
5906 | line->Draw("same"); | |
55a288e5 | 5907 | } |
3a0f6479 | 5908 | fNumberFitSuccess++; |
5909 | CalculChargeCoefMean(kTRUE); | |
5910 | } | |
5911 | //_____________________________________________________________________________ | |
5912 | void AliTRDCalibraFit::FitMeanWSm(TH1 *projch, Float_t sumAll) | |
5913 | { | |
5914 | // | |
5915 | // mean w methode for the gain factor | |
5916 | // | |
5917 | ||
5918 | //Number of bins | |
5919 | Int_t nybins = projch->GetNbinsX(); | |
5920 | ||
5921 | //The weight function | |
5922 | Double_t a = 0.00228515; | |
5923 | Double_t b = -0.00231487; | |
5924 | Double_t c = 0.00044298; | |
5925 | Double_t d = -0.00379239; | |
5926 | Double_t e = 0.00338349; | |
5927 | ||
5928 | // 0 |0.00228515 | |
5929 | // 1 |-0.00231487 | |
5930 | // 2 |0.00044298 | |
5931 | // 3 |-0.00379239 | |
5932 | // 4 |0.00338349 | |
5933 | ||
5934 | ||
5935 | ||
5936 | //A arbitrary error for the moment | |
5937 | fCurrentCoefE = 0.0; | |
5938 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 5939 | |
3a0f6479 | 5940 | //Calcul |
5941 | Double_t sumw = 0.0; | |
5942 | Double_t sum = 0.0; | |
5943 | Int_t sumCurrent = 0; | |
5944 | for(Int_t k = 0; k <nybins; k++){ | |
5945 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
5946 | if (fraction>0.95) break; | |
5947 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
5948 | e*fraction*fraction*fraction*fraction; | |
5949 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
5950 | sum += weight*projch->GetBinContent(k+1); | |
5951 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
5952 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
55a288e5 | 5953 | } |
3a0f6479 | 5954 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 5955 | |
3a0f6479 | 5956 | if (fDebugLevel == 1) { |
5957 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); | |
5958 | cpmeanw->cd(); | |
5959 | projch->Draw(); | |
595cfc12 | 5960 | TLine *line = new TLine(fCurrentCoef[0],0.0,fCurrentCoef[0],20000.0); |
5961 | line->Draw("same"); | |
3a0f6479 | 5962 | } |
5963 | fNumberFitSuccess++; | |
55a288e5 | 5964 | } |
55a288e5 | 5965 | //_____________________________________________________________________________ |
595cfc12 | 5966 | void AliTRDCalibraFit::FitLandau(TH1 *projch, Double_t mean, Double_t nentries) |
55a288e5 | 5967 | { |
5968 | // | |
5969 | // Fit methode for the gain factor | |
5970 | // | |
595cfc12 | 5971 | |
5972 | ||
5973 | //Calcul Range of the fit | |
5974 | Double_t lastvalue = 0.0; | |
5975 | Float_t sumAll = (Float_t) nentries; | |
5976 | Int_t sumCurrent = 0; | |
5977 | //printf("There are %d bins\n",nybins); | |
5978 | for(Int_t k = 0; k <projch->GetNbinsX(); k++){ | |
5979 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
5980 | if (fraction>fOutliersFitChargeHigh) { | |
5981 | lastvalue = projch->GetBinCenter(k+1); | |
5982 | //printf("Break by %f\n",lastvalue); | |
5983 | break; | |
5984 | } | |
5985 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
5986 | } | |
5987 | // | |
5988 | ||
5989 | fCurrentCoef[0] = 0.0; | |
5990 | fCurrentCoefE = 0.0; | |
81f82b26 | 5991 | // Coverity |
5992 | //Double_t chisqrl = 0.0; | |
595cfc12 | 5993 | |
5994 | projch->Fit("landau","WWQ+","" | |
5995 | ,(Double_t) mean/fBeginFitCharge | |
5996 | ,lastvalue); | |
81f82b26 | 5997 | // Coverity |
5998 | //chisqrl = projch->GetFunction("landau")->GetChisquare(); | |
595cfc12 | 5999 | |
6000 | if (fDebugLevel == 1) { | |
6001 | TCanvas *cp = new TCanvas("cp","cp",50,50,600,800); | |
6002 | cp->cd(); | |
6003 | projch->Draw(); | |
6004 | TLine *line = new TLine( projch->GetFunction("landau")->GetParameter(1),0.0,projch->GetFunction("landau")->GetParameter(1),20000.0); | |
6005 | line->Draw("same"); | |
6006 | } | |
6007 | ||
6008 | if ((projch->GetFunction("landau")->GetParameter(1) > 0) && (projch->GetFunction("landau")->GetParError(1) < (0.05*projch->GetFunction("landau")->GetParameter(1)))) { | |
6009 | fNumberFitSuccess++; | |
6010 | CalculChargeCoefMean(kTRUE); | |
6011 | fCurrentCoef[0] = projch->GetFunction("landau")->GetParameter(1); | |
6012 | fCurrentCoefE = projch->GetFunction("landau")->GetParError(1); | |
6013 | } | |
6014 | else { | |
6015 | CalculChargeCoefMean(kFALSE); | |
6016 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
6017 | } | |
6018 | ||
6019 | ||
6020 | ||
6021 | } | |
6022 | //_____________________________________________________________________________ | |
6023 | void AliTRDCalibraFit::FitCH(TH1 *projch, Double_t mean, Double_t nentries) | |
6024 | { | |
6025 | // | |
6026 | // Fit methode for the gain factor | |
6027 | // | |
6028 | ||
6029 | //Calcul Range of the fit | |
6030 | Double_t lastvalue = 0.0; | |
6031 | Float_t sumAll = (Float_t) nentries; | |
6032 | Int_t sumCurrent = 0; | |
6033 | //printf("There are %d bins\n",nybins); | |
6034 | for(Int_t k = 0; k <projch->GetNbinsX(); k++){ | |
6035 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
6036 | if (fraction>fOutliersFitChargeHigh) { | |
6037 | lastvalue = projch->GetBinCenter(k+1); | |
6038 | //printf("Break by %f\n",lastvalue); | |
6039 | break; | |
6040 | } | |
6041 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
6042 | } | |
6043 | // | |
55a288e5 | 6044 | |
3a0f6479 | 6045 | fCurrentCoef[0] = 0.0; |
6046 | fCurrentCoefE = 0.0; | |
55a288e5 | 6047 | Double_t chisqrl = 0.0; |
6048 | Double_t chisqrg = 0.0; | |
3a0f6479 | 6049 | Double_t chisqr = 0.0; |
595cfc12 | 6050 | TF1 *fLandauGaus = new TF1("fLandauGaus",FuncLandauGaus,(Double_t) mean/fBeginFitCharge,lastvalue,5); |
55a288e5 | 6051 | |
595cfc12 | 6052 | projch->Fit("landau","WWQ0","" |
3a0f6479 | 6053 | ,(Double_t) mean/fBeginFitCharge |
595cfc12 | 6054 | ,lastvalue); |
55a288e5 | 6055 | Double_t l3P0 = projch->GetFunction("landau")->GetParameter(0); |
6056 | Double_t l3P1 = projch->GetFunction("landau")->GetParameter(1); | |
6057 | Double_t l3P2 = projch->GetFunction("landau")->GetParameter(2); | |
6058 | chisqrl = projch->GetFunction("landau")->GetChisquare(); | |
6059 | ||
595cfc12 | 6060 | projch->Fit("gaus","WWQ0","" |
3a0f6479 | 6061 | ,(Double_t) mean/fBeginFitCharge |
595cfc12 | 6062 | ,lastvalue); |
55a288e5 | 6063 | Double_t g3P0 = projch->GetFunction("gaus")->GetParameter(0); |
6064 | Double_t g3P2 = projch->GetFunction("gaus")->GetParameter(2); | |
6065 | chisqrg = projch->GetFunction("gaus")->GetChisquare(); | |
6066 | ||
6067 | fLandauGaus->SetParameters(l3P0,l3P1,l3P2,g3P0,g3P2); | |
3a0f6479 | 6068 | if (fDebugLevel != 1) { |
595cfc12 | 6069 | projch->Fit("fLandauGaus","WWQ0","" |
3a0f6479 | 6070 | ,(Double_t) mean/fBeginFitCharge |
595cfc12 | 6071 | ,lastvalue); |
55a288e5 | 6072 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); |
3a0f6479 | 6073 | } |
6074 | else { | |
55a288e5 | 6075 | TCanvas *cp = new TCanvas("cp","cp",50,50,600,800); |
6076 | cp->cd(); | |
595cfc12 | 6077 | projch->Fit("fLandauGaus","WWQ+","" |
3a0f6479 | 6078 | ,(Double_t) mean/fBeginFitCharge |
595cfc12 | 6079 | ,lastvalue); |
55a288e5 | 6080 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); |
6081 | projch->Draw(); | |
6082 | fLandauGaus->Draw("same"); | |
595cfc12 | 6083 | TLine *line = new TLine(projch->GetFunction("fLandauGaus")->GetParameter(1),0.0,projch->GetFunction("fLandauGaus")->GetParameter(1),20000.0); |
6084 | line->Draw("same"); | |
55a288e5 | 6085 | } |
6086 | ||
3a0f6479 | 6087 | if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (projch->GetFunction("fLandauGaus")->GetParError(1) < (0.05*projch->GetFunction("fLandauGaus")->GetParameter(1))) && (chisqr < chisqrl) && (chisqr < chisqrg)) { |
3a0f6479 | 6088 | fNumberFitSuccess++; |
6089 | CalculChargeCoefMean(kTRUE); | |
6090 | fCurrentCoef[0] = projch->GetFunction("fLandauGaus")->GetParameter(1); | |
6091 | fCurrentCoefE = projch->GetFunction("fLandauGaus")->GetParError(1); | |
55a288e5 | 6092 | } |
6093 | else { | |
3a0f6479 | 6094 | CalculChargeCoefMean(kFALSE); |
6095 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 6096 | } |
6097 | ||
3a0f6479 | 6098 | if (fDebugLevel != 1) { |
55a288e5 | 6099 | delete fLandauGaus; |
6100 | } | |
6101 | ||
6102 | } | |
55a288e5 | 6103 | //_____________________________________________________________________________ |
595cfc12 | 6104 | void AliTRDCalibraFit::FitBisCH(TH1* projch, Double_t mean, Double_t nentries) |
55a288e5 | 6105 | { |
6106 | // | |
6107 | // Fit methode for the gain factor more time consuming | |
6108 | // | |
6109 | ||
595cfc12 | 6110 | //Calcul Range of the fit |
6111 | Double_t lastvalue = 0.0; | |
6112 | Float_t sumAll = (Float_t) nentries; | |
6113 | Int_t sumCurrent = 0; | |
6114 | //printf("There are %d bins\n",nybins); | |
6115 | for(Int_t k = 0; k <projch->GetNbinsX(); k++){ | |
6116 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
6117 | if (fraction>fOutliersFitChargeHigh) { | |
6118 | lastvalue = projch->GetBinCenter(k+1); | |
6119 | //printf("Break by %f\n",lastvalue); | |
6120 | break; | |
6121 | } | |
6122 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
6123 | } | |
6124 | // | |
3a0f6479 | 6125 | |
55a288e5 | 6126 | //Some parameters to initialise |
e6381f8e | 6127 | Double_t widthLandau, widthGaus, mPV, integral; |
55a288e5 | 6128 | Double_t chisquarel = 0.0; |
6129 | Double_t chisquareg = 0.0; | |
595cfc12 | 6130 | projch->Fit("landau","WWQ0M+","" |
6131 | ,(Double_t) mean/fBeginFitCharge | |
6132 | ,lastvalue); | |
55a288e5 | 6133 | widthLandau = projch->GetFunction("landau")->GetParameter(2); |
6134 | chisquarel = projch->GetFunction("landau")->GetChisquare(); | |
595cfc12 | 6135 | projch->Fit("gaus","WWQ0M+","" |
6136 | ,(Double_t) mean/fBeginFitCharge | |
6137 | ,lastvalue); | |
55a288e5 | 6138 | widthGaus = projch->GetFunction("gaus")->GetParameter(2); |
6139 | chisquareg = projch->GetFunction("gaus")->GetChisquare(); | |
3a0f6479 | 6140 | |
e6381f8e | 6141 | mPV = (projch->GetFunction("landau")->GetParameter(1))/2; |
6142 | integral = (projch->GetFunction("gaus")->Integral(0.3*mean,3*mean)+projch->GetFunction("landau")->Integral(0.3*mean,3*mean))/2; | |
3a0f6479 | 6143 | |
55a288e5 | 6144 | // Setting fit range and start values |
6145 | Double_t fr[2]; | |
e6381f8e | 6146 | Double_t sv[4] = { widthLandau, mPV, integral, widthGaus}; |
55a288e5 | 6147 | Double_t pllo[4] = { 0.001, 0.001, projch->Integral()/3, 0.001}; |
6148 | Double_t plhi[4] = { 300.0, 300.0, 30*projch->Integral(), 300.0}; | |
6149 | Double_t fp[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
6150 | Double_t fpe[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
595cfc12 | 6151 | fr[0] = mean/fBeginFitCharge; |
6152 | fr[1] = lastvalue; | |
3a0f6479 | 6153 | fCurrentCoef[0] = 0.0; |
6154 | fCurrentCoefE = 0.0; | |
55a288e5 | 6155 | |
56786b3a | 6156 | Double_t chisqr; |
6157 | Int_t ndf; | |
55a288e5 | 6158 | TF1 *fitsnr = LanGauFit(projch,&fr[0],&sv[0] |
6159 | ,&pllo[0],&plhi[0] | |
6160 | ,&fp[0],&fpe[0] | |
6161 | ,&chisqr,&ndf); | |
6162 | ||
595cfc12 | 6163 | //Double_t projchPeak; |
6164 | //Double_t projchFWHM; | |
6165 | //LanGauPro(fp,projchPeak,projchFWHM); | |
55a288e5 | 6166 | |
6167 | if ((fp[1] > 0) && ((fpe[1] < (0.05*fp[1])) && (chisqr < chisquarel) && (chisqr < chisquareg))) { | |
6168 | //if ((fp[1] > 0) && ((chisqr < chisquarel) && (chisqr < chisquareg))) { | |
3a0f6479 | 6169 | fNumberFitSuccess++; |
6170 | CalculChargeCoefMean(kTRUE); | |
6171 | fCurrentCoef[0] = fp[1]; | |
6172 | fCurrentCoefE = fpe[1]; | |
55a288e5 | 6173 | //chargeCoefE2 = chisqr; |
6174 | } | |
6175 | else { | |
3a0f6479 | 6176 | CalculChargeCoefMean(kFALSE); |
6177 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 6178 | } |
3a0f6479 | 6179 | if (fDebugLevel == 1) { |
6180 | AliInfo(Form("fChargeCoef[0]: %f",(Float_t) fCurrentCoef[0])); | |
55a288e5 | 6181 | TCanvas *cpy = new TCanvas("cpy","cpy",50,50,600,800); |
6182 | cpy->cd(); | |
6183 | projch->Draw(); | |
6184 | fitsnr->Draw("same"); | |
595cfc12 | 6185 | TLine *line = new TLine(fp[1],0.0,fp[1],20000.0); |
6186 | line->Draw("same"); | |
6187 | } | |
6188 | else { | |
6189 | delete fitsnr; | |
6190 | } | |
6191 | } | |
6192 | //_____________________________________________________________________________ | |
6193 | void AliTRDCalibraFit::FitBisCHEx(TH1* projch, Double_t mean, Double_t nentries) | |
6194 | { | |
6195 | // | |
6196 | // Fit methode for the gain factor more time consuming | |
6197 | // | |
6198 | ||
6199 | //Calcul Range of the fit | |
6200 | Double_t lastvalue = 0.0; | |
6201 | Float_t sumAll = (Float_t) nentries; | |
6202 | Int_t sumCurrent = 0; | |
6203 | //printf("There are %d bins\n",nybins); | |
6204 | for(Int_t k = 0; k <projch->GetNbinsX(); k++){ | |
6205 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
6206 | if (fraction>fOutliersFitChargeHigh) { | |
6207 | lastvalue = projch->GetBinCenter(k+1); | |
6208 | //printf("Break by %f\n",lastvalue); | |
6209 | break; | |
6210 | } | |
6211 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
6212 | } | |
6213 | // | |
6214 | ||
6215 | ||
6216 | //Some parameters to initialise | |
6217 | Double_t widthLandau, widthGaus, mPV, integral; | |
6218 | Double_t chisquarel = 0.0; | |
6219 | Double_t chisquareg = 0.0; | |
6220 | projch->Fit("landau","WWQM+","" | |
6221 | ,(Double_t) mean/fBeginFitCharge | |
6222 | ,lastvalue); | |
6223 | widthLandau = projch->GetFunction("landau")->GetParameter(2); | |
6224 | chisquarel = projch->GetFunction("landau")->GetChisquare(); | |
6225 | projch->Fit("gaus","WWQM+","" | |
6226 | ,(Double_t) mean/fBeginFitCharge | |
6227 | ,lastvalue); | |
6228 | widthGaus = projch->GetFunction("gaus")->GetParameter(2); | |
6229 | chisquareg = projch->GetFunction("gaus")->GetChisquare(); | |
6230 | ||
6231 | mPV = (projch->GetFunction("landau")->GetParameter(1))/2; | |
6232 | integral = (projch->GetFunction("gaus")->Integral(0.3*mean,3*mean)+projch->GetFunction("landau")->Integral(0.3*mean,3*mean))/2; | |
6233 | ||
6234 | // Setting fit range and start values | |
6235 | Double_t fr[2]; | |
6236 | //Double_t sv[4] = { l3P2, fChargeCoef[1], projch->Integral("width"), fG3P2 }; | |
6237 | //Double_t sv[4] = { fL3P2, fChargeCoef[1], fL3P0, fG3P2 }; | |
6238 | Double_t sv[5] = { widthLandau, mPV, integral, widthGaus, 0.0}; | |
6239 | Double_t pllo[5] = { 0.001, 0.001, projch->Integral()/3, 0.001, 0.0}; | |
6240 | Double_t plhi[5] = { 300.0, 300.0, 30*projch->Integral(), 300.0, 2.0}; | |
6241 | Double_t fp[5] = { 1.0, 1.0, 1.0, 1.0, 1.0}; | |
6242 | Double_t fpe[5] = { 1.0, 1.0, 1.0, 1.0, 1.0}; | |
6243 | // | |
6244 | //fr[0] = 0.3 * mean; | |
6245 | //fr[1] = 3.0 * mean; | |
6246 | // | |
6247 | fr[0] = mean/fBeginFitCharge; | |
6248 | fr[1] = lastvalue; | |
6249 | ||
6250 | fCurrentCoef[0] = 0.0; | |
6251 | fCurrentCoefE = 0.0; | |
6252 | ||
56786b3a | 6253 | Double_t chisqr = 100.0; |
6254 | Int_t ndf = 1; | |
595cfc12 | 6255 | |
6256 | TF1 *fitsnr = 0x0; | |
6257 | ||
6258 | if((mPV > 0.0) && (projch->GetFunction("gaus")->GetParameter(1) > 0.0)) { | |
6259 | fitsnr = LanGauFitEx(projch,&fr[0],&sv[0] | |
6260 | ,&pllo[0],&plhi[0] | |
6261 | ,&fp[0],&fpe[0] | |
6262 | ,&chisqr,&ndf); | |
6263 | } | |
6264 | ||
6265 | //Double_t projchPeak; | |
6266 | //Double_t projchFWHM; | |
6267 | //LanGauProEx(fp,projchPeak,projchFWHM); | |
6268 | ||
6269 | if ((fp[1] > 0) && ((fpe[1] < (0.05*fp[1])) && (chisqr < chisquarel) && (chisqr < chisquareg))) { | |
6270 | //if ((fp[1] > 0) && ((chisqr < chisquarel) && (chisqr < chisquareg))) { | |
6271 | fNumberFitSuccess++; | |
6272 | CalculChargeCoefMean(kTRUE); | |
6273 | fCurrentCoef[0] = fp[1]; | |
6274 | fCurrentCoefE = fpe[1]; | |
6275 | //chargeCoefE2 = chisqr; | |
6276 | } | |
6277 | else { | |
6278 | CalculChargeCoefMean(kFALSE); | |
6279 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
6280 | } | |
6281 | if (fDebugLevel == 1) { | |
6282 | AliInfo(Form("fChargeCoef[0]: %f",(Float_t) fCurrentCoef[0])); | |
6283 | TCanvas *cpy = new TCanvas("cpy","cpy",50,50,600,800); | |
6284 | cpy->cd(); | |
6285 | projch->Draw(); | |
6286 | if(fitsnr) fitsnr->Draw("same"); | |
6287 | TLine *line = new TLine(fp[1],0.0,fp[1],20000.0); | |
6288 | line->Draw("same"); | |
55a288e5 | 6289 | } |
3a0f6479 | 6290 | else { |
55a288e5 | 6291 | delete fitsnr; |
6292 | } | |
3a0f6479 | 6293 | } |
55a288e5 | 6294 | //_____________________________________________________________________________ |
3b0c1edc | 6295 | void AliTRDCalibraFit::CalculPolynomeLagrange2(const Double_t *x, const Double_t *y, Double_t &c0, Double_t &c1, Double_t &c2, Double_t &c3, Double_t &c4) const |
55a288e5 | 6296 | { |
6297 | // | |
6298 | // Calcul the coefficients of the polynome passant par ces trois points de degre 2 | |
6299 | // | |
55a288e5 | 6300 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])); |
6301 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])); | |
6302 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])); | |
6303 | ||
3b0c1edc | 6304 | c4 = 0.0; |
6305 | c3 = 0.0; | |
6306 | c2 = x0+x1+x2; | |
6307 | c1 = -(x0*(x[1]+x[2])+x1*(x[0]+x[2])+x2*(x[0]+x[1])); | |
6308 | c0 = x0*x[1]*x[2]+x1*x[0]*x[2]+x2*x[0]*x[1]; | |
3a0f6479 | 6309 | |
55a288e5 | 6310 | } |
6311 | ||
6312 | //_____________________________________________________________________________ | |
3b0c1edc | 6313 | void AliTRDCalibraFit::CalculPolynomeLagrange3(const Double_t *x, const Double_t *y, Double_t &c0, Double_t &c1, Double_t &c2, Double_t &c3, Double_t &c4) const |
55a288e5 | 6314 | { |
6315 | // | |
6316 | // Calcul the coefficients of the polynome passant par ces quatre points de degre 3 | |
6317 | // | |
55a288e5 | 6318 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])); |
6319 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])); | |
6320 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])); | |
6321 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])); | |
6322 | ||
3b0c1edc | 6323 | c4 = 0.0; |
6324 | c3 = x0+x1+x2+x3; | |
6325 | c2 = -(x0*(x[1]+x[2]+x[3]) | |
55a288e5 | 6326 | +x1*(x[0]+x[2]+x[3]) |
6327 | +x2*(x[0]+x[1]+x[3]) | |
6328 | +x3*(x[0]+x[1]+x[2])); | |
3b0c1edc | 6329 | c1 = (x0*(x[1]*x[2]+x[1]*x[3]+x[2]*x[3]) |
55a288e5 | 6330 | +x1*(x[0]*x[2]+x[0]*x[3]+x[2]*x[3]) |
6331 | +x2*(x[0]*x[1]+x[0]*x[3]+x[1]*x[3]) | |
6332 | +x3*(x[0]*x[1]+x[0]*x[2]+x[1]*x[2])); | |
6333 | ||
3b0c1edc | 6334 | c0 = -(x0*x[1]*x[2]*x[3] |
55a288e5 | 6335 | +x1*x[0]*x[2]*x[3] |
6336 | +x2*x[0]*x[1]*x[3] | |
6337 | +x3*x[0]*x[1]*x[2]); | |
6338 | ||
3a0f6479 | 6339 | |
55a288e5 | 6340 | } |
6341 | ||
6342 | //_____________________________________________________________________________ | |
3b0c1edc | 6343 | void AliTRDCalibraFit::CalculPolynomeLagrange4(const Double_t *x, const Double_t *y, Double_t &c0, Double_t &c1, Double_t &c2, Double_t &c3, Double_t &c4) const |
55a288e5 | 6344 | { |
6345 | // | |
6346 | // Calcul the coefficients of the polynome passant par ces cinqs points de degre 4 | |
6347 | // | |
55a288e5 | 6348 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])*(x[0]-x[4])); |
6349 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])*(x[1]-x[4])); | |
6350 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])*(x[2]-x[4])); | |
6351 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])*(x[3]-x[4])); | |
6352 | Double_t x4 = y[4]/((x[4]-x[0])*(x[4]-x[1])*(x[4]-x[2])*(x[4]-x[3])); | |
3a0f6479 | 6353 | |
55a288e5 | 6354 | |
3b0c1edc | 6355 | c4 = x0+x1+x2+x3+x4; |
6356 | c3 = -(x0*(x[1]+x[2]+x[3]+x[4]) | |
55a288e5 | 6357 | +x1*(x[0]+x[2]+x[3]+x[4]) |
6358 | +x2*(x[0]+x[1]+x[3]+x[4]) | |
6359 | +x3*(x[0]+x[1]+x[2]+x[4]) | |
6360 | +x4*(x[0]+x[1]+x[2]+x[3])); | |
3b0c1edc | 6361 | c2 = (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]) |
55a288e5 | 6362 | +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]) |
6363 | +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]) | |
6364 | +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]) | |
6365 | +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])); | |
6366 | ||
3b0c1edc | 6367 | c1 = -(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]) |
55a288e5 | 6368 | +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]) |
6369 | +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]) | |
6370 | +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]) | |
6371 | +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])); | |
6372 | ||
3b0c1edc | 6373 | c0 = (x0*x[1]*x[2]*x[3]*x[4] |
55a288e5 | 6374 | +x1*x[0]*x[2]*x[3]*x[4] |
6375 | +x2*x[0]*x[1]*x[3]*x[4] | |
6376 | +x3*x[0]*x[1]*x[2]*x[4] | |
6377 | +x4*x[0]*x[1]*x[2]*x[3]); | |
6378 | ||
55a288e5 | 6379 | } |
55a288e5 | 6380 | //_____________________________________________________________________________ |
6381 | void AliTRDCalibraFit::NormierungCharge() | |
6382 | { | |
6383 | // | |
6384 | // Normalisation of the gain factor resulting for the fits | |
6385 | // | |
6386 | ||
6387 | // Calcul of the mean of choosen method by fFitChargeNDB | |
6388 | Double_t sum = 0.0; | |
6389 | //printf("total number of entries %d\n",fVectorFitCH->GetEntriesFast()); | |
3a0f6479 | 6390 | for (Int_t k = 0; k < (Int_t) fVectorFit.GetEntriesFast(); k++) { |
55a288e5 | 6391 | Int_t total = 0; |
3a0f6479 | 6392 | Int_t detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); |
6393 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
55a288e5 | 6394 | //printf("detector %d coef[0] %f\n",detector,coef[0]); |
053767a4 | 6395 | if (GetStack(detector) == 2) { |
55a288e5 | 6396 | total = 1728; |
6397 | } | |
053767a4 | 6398 | if (GetStack(detector) != 2) { |
55a288e5 | 6399 | total = 2304; |
6400 | } | |
6401 | for (Int_t j = 0; j < total; j++) { | |
6402 | if (coef[j] >= 0) { | |
6403 | sum += coef[j]; | |
6404 | } | |
6405 | } | |
6406 | } | |
6407 | ||
6408 | if (sum > 0) { | |
6409 | fScaleFitFactor = fScaleFitFactor / sum; | |
6410 | } | |
6411 | else { | |
6412 | fScaleFitFactor = 1.0; | |
3a0f6479 | 6413 | } |
55a288e5 | 6414 | |
3a0f6479 | 6415 | //methode de boeuf mais bon... |
6416 | Double_t scalefactor = fScaleFitFactor; | |
55a288e5 | 6417 | |
3a0f6479 | 6418 | if(fDebugLevel > 1){ |
6419 | ||
6420 | if ( !fDebugStreamer ) { | |
6421 | //debug stream | |
6422 | TDirectory *backup = gDirectory; | |
4aad967c | 6423 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); |
3a0f6479 | 6424 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
6425 | } | |
413153cb | 6426 | (* fDebugStreamer) << "NormierungCharge"<< |
3a0f6479 | 6427 | "scalefactor="<<scalefactor<< |
6428 | "\n"; | |
6429 | } | |
55a288e5 | 6430 | } |
55a288e5 | 6431 | //_____________________________________________________________________________ |
979b168f | 6432 | TH1I *AliTRDCalibraFit::ReBin(const TH1I *hist) const |
55a288e5 | 6433 | { |
6434 | // | |
6435 | // Rebin of the 1D histo for the gain calibration if needed. | |
6436 | // you have to choose fRebin, divider of fNumberBinCharge | |
6437 | // | |
6438 | ||
3a0f6479 | 6439 | TAxis *xhist = hist->GetXaxis(); |
6440 | TH1I *rehist = new TH1I("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
6441 | ,xhist->GetBinLowEdge(1) | |
6442 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
55a288e5 | 6443 | |
3a0f6479 | 6444 | AliInfo(Form("fRebin: %d",fRebin)); |
6445 | Int_t i = 1; | |
6446 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
6447 | Double_t sum = 0.0; | |
6448 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
6449 | sum += hist->GetBinContent(ji); | |
6450 | } | |
6451 | sum = sum / fRebin; | |
6452 | rehist->SetBinContent(k,sum); | |
6453 | i += fRebin; | |
6454 | } | |
55a288e5 | 6455 | |
3a0f6479 | 6456 | return rehist; |
55a288e5 | 6457 | |
6458 | } | |
6459 | ||
6460 | //_____________________________________________________________________________ | |
979b168f | 6461 | TH1F *AliTRDCalibraFit::ReBin(const TH1F *hist) const |
55a288e5 | 6462 | { |
6463 | // | |
6464 | // Rebin of the 1D histo for the gain calibration if needed | |
6465 | // you have to choose fRebin divider of fNumberBinCharge | |
6466 | // | |
6467 | ||
6468 | TAxis *xhist = hist->GetXaxis(); | |
6469 | TH1F *rehist = new TH1F("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
6470 | ,xhist->GetBinLowEdge(1) | |
6471 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
6472 | ||
6473 | AliInfo(Form("fRebin: %d",fRebin)); | |
6474 | Int_t i = 1; | |
6475 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
6476 | Double_t sum = 0.0; | |
6477 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
6478 | sum += hist->GetBinContent(ji); | |
6479 | } | |
6480 | sum = sum/fRebin; | |
6481 | rehist->SetBinContent(k,sum); | |
6482 | i += fRebin; | |
6483 | } | |
6484 | ||
55a288e5 | 6485 | return rehist; |
6486 | ||
55a288e5 | 6487 | } |
55a288e5 | 6488 | // |
6489 | //____________Some basic geometry function_____________________________________ | |
6490 | // | |
6491 | ||
6492 | //_____________________________________________________________________________ | |
053767a4 | 6493 | Int_t AliTRDCalibraFit::GetLayer(Int_t d) const |
55a288e5 | 6494 | { |
6495 | // | |
6496 | // Reconstruct the plane number from the detector number | |
6497 | // | |
6498 | ||
6499 | return ((Int_t) (d % 6)); | |
6500 | ||
6501 | } | |
6502 | ||
6503 | //_____________________________________________________________________________ | |
053767a4 | 6504 | Int_t AliTRDCalibraFit::GetStack(Int_t d) const |
55a288e5 | 6505 | { |
6506 | // | |
053767a4 | 6507 | // Reconstruct the stack number from the detector number |
55a288e5 | 6508 | // |
053767a4 | 6509 | const Int_t kNlayer = 6; |
55a288e5 | 6510 | |
053767a4 | 6511 | return ((Int_t) (d % 30) / kNlayer); |
55a288e5 | 6512 | |
6513 | } | |
6514 | ||
6515 | //_____________________________________________________________________________ | |
6516 | Int_t AliTRDCalibraFit::GetSector(Int_t d) const | |
6517 | { | |
6518 | // | |
6519 | // Reconstruct the sector number from the detector number | |
6520 | // | |
6521 | Int_t fg = 30; | |
6522 | ||
6523 | return ((Int_t) (d / fg)); | |
6524 | ||
6525 | } | |
6526 | ||
6527 | // | |
6528 | //____________Fill and Init tree Gain, PRF, Vdrift and T0______________________ | |
6529 | // | |
3a0f6479 | 6530 | //_______________________________________________________________________________ |
6531 | void AliTRDCalibraFit::ResetVectorFit() | |
55a288e5 | 6532 | { |
e6381f8e | 6533 | // |
6534 | // Reset the VectorFits | |
6535 | // | |
6536 | ||
3a0f6479 | 6537 | fVectorFit.SetOwner(); |
6538 | fVectorFit.Clear(); | |
6539 | fVectorFit2.SetOwner(); | |
6540 | fVectorFit2.Clear(); | |
55a288e5 | 6541 | |
55a288e5 | 6542 | } |
55a288e5 | 6543 | // |
6544 | //____________Private Functions________________________________________________ | |
6545 | // | |
6546 | ||
6547 | //_____________________________________________________________________________ | |
979b168f | 6548 | Double_t AliTRDCalibraFit::PH(const Double_t *x, const Double_t *par) |
55a288e5 | 6549 | { |
6550 | // | |
6551 | // Function for the fit | |
6552 | // | |
6553 | ||
6554 | //TF1 *fAsymmGauss = new TF1("fAsymmGauss",AsymmGauss,0,4,6); | |
6555 | ||
6556 | //PARAMETERS FOR FIT PH | |
6557 | // PASAv.4 | |
6558 | //fAsymmGauss->SetParameter(0,0.113755); | |
6559 | //fAsymmGauss->SetParameter(1,0.350706); | |
6560 | //fAsymmGauss->SetParameter(2,0.0604244); | |
6561 | //fAsymmGauss->SetParameter(3,7.65596); | |
6562 | //fAsymmGauss->SetParameter(4,1.00124); | |
6563 | //fAsymmGauss->SetParameter(5,0.870597); // No tail cancelation | |
6564 | ||
6565 | Double_t xx = x[0]; | |
6566 | ||
6567 | if (xx < par[1]) { | |
6568 | return par[5]; | |
6569 | } | |
6570 | ||
6571 | Double_t dx = 0.005; | |
6572 | Double_t xs = par[1]; | |
6573 | Double_t ss = 0.0; | |
6574 | Double_t paras[2] = { 0.0, 0.0 }; | |
6575 | ||
6576 | while (xs < xx) { | |
6577 | if ((xs >= par[1]) && | |
6578 | (xs < (par[1]+par[2]))) { | |
6579 | //fAsymmGauss->SetParameter(0,par[0]); | |
6580 | //fAsymmGauss->SetParameter(1,xs); | |
6581 | //ss += fAsymmGauss->Eval(xx); | |
6582 | paras[0] = par[0]; | |
6583 | paras[1] = xs; | |
6584 | ss += AsymmGauss(&xx,paras); | |
6585 | } | |
6586 | if ((xs >= (par[1]+par[2])) && | |
6587 | (xs < (par[1]+par[2]+par[3]))) { | |
6588 | //fAsymmGauss->SetParameter(0,par[0]*par[4]); | |
6589 | //fAsymmGauss->SetParameter(1,xs); | |
6590 | //ss += fAsymmGauss->Eval(xx); | |
6591 | paras[0] = par[0]*par[4]; | |
6592 | paras[1] = xs; | |
6593 | ss += AsymmGauss(&xx,paras); | |
6594 | } | |
6595 | xs += dx; | |
6596 | } | |
6597 | ||
6598 | return ss + par[5]; | |
6599 | ||
6600 | } | |
6601 | ||
6602 | //_____________________________________________________________________________ | |
979b168f | 6603 | Double_t AliTRDCalibraFit::AsymmGauss(const Double_t *x, const Double_t *par) |
55a288e5 | 6604 | { |
6605 | // | |
6606 | // Function for the fit | |
6607 | // | |
6608 | ||
6609 | //par[0] = normalization | |
6610 | //par[1] = mean | |
6611 | //par[2] = sigma | |
6612 | //norm0 = 1 | |
6613 | //par[3] = lambda0 | |
6614 | //par[4] = norm1 | |
6615 | //par[5] = lambda1 | |
6616 | ||
6617 | Double_t par1save = par[1]; | |
6618 | //Double_t par2save = par[2]; | |
6619 | Double_t par2save = 0.0604244; | |
6620 | //Double_t par3save = par[3]; | |
6621 | Double_t par3save = 7.65596; | |
6622 | //Double_t par5save = par[5]; | |
6623 | Double_t par5save = 0.870597; | |
6624 | Double_t dx = x[0] - par1save; | |
6625 | ||
6626 | Double_t sigma2 = par2save*par2save; | |
6627 | Double_t sqrt2 = TMath::Sqrt(2.0); | |
6628 | Double_t exp1 = par3save * TMath::Exp(-par3save * (dx - 0.5 * par3save * sigma2)) | |
bb7e41dd | 6629 | * (1.0 - AliMathBase::ErfFast((par3save * sigma2 - dx) / (sqrt2 * par2save))); |
55a288e5 | 6630 | Double_t exp2 = par5save * TMath::Exp(-par5save * (dx - 0.5 * par5save * sigma2)) |
bb7e41dd | 6631 | * (1.0 - AliMathBase::ErfFast((par5save * sigma2 - dx) / (sqrt2 * par2save))); |
55a288e5 | 6632 | |
6633 | //return par[0]*(exp1+par[4]*exp2); | |
6634 | return par[0] * (exp1 + 1.00124 * exp2); | |
6635 | ||
6636 | } | |
6637 | ||
6638 | //_____________________________________________________________________________ | |
979b168f | 6639 | Double_t AliTRDCalibraFit::FuncLandauGaus(const Double_t *x, const Double_t *par) |
55a288e5 | 6640 | { |
6641 | // | |
6642 | // Sum Landau + Gaus with identical mean | |
6643 | // | |
6644 | ||
6645 | Double_t valLandau = par[0] * TMath::Landau(x[0],par[1],par[2]); | |
6646 | //Double_t valGaus = par[3] * TMath::Gaus(x[0],par[4],par[5]); | |
6647 | Double_t valGaus = par[3] * TMath::Gaus(x[0],par[1],par[4]); | |
6648 | Double_t val = valLandau + valGaus; | |
6649 | ||
6650 | return val; | |
6651 | ||
6652 | } | |
6653 | ||
6654 | //_____________________________________________________________________________ | |
979b168f | 6655 | Double_t AliTRDCalibraFit::LanGauFun(const Double_t *x, const Double_t *par) |
55a288e5 | 6656 | { |
6657 | // | |
6658 | // Function for the fit | |
6659 | // | |
6660 | // Fit parameters: | |
6661 | // par[0]=Width (scale) parameter of Landau density | |
6662 | // par[1]=Most Probable (MP, location) parameter of Landau density | |
6663 | // par[2]=Total area (integral -inf to inf, normalization constant) | |
6664 | // par[3]=Width (sigma) of convoluted Gaussian function | |
6665 | // | |
6666 | // In the Landau distribution (represented by the CERNLIB approximation), | |
6667 | // the maximum is located at x=-0.22278298 with the location parameter=0. | |
6668 | // This shift is corrected within this function, so that the actual | |
6669 | // maximum is identical to the MP parameter. | |
6670 | // | |
6671 | ||
6672 | // Numeric constants | |
6673 | Double_t invsq2pi = 0.3989422804014; // (2 pi)^(-1/2) | |
6674 | Double_t mpshift = -0.22278298; // Landau maximum location | |
6675 | ||
6676 | // Control constants | |
6677 | Double_t np = 100.0; // Number of convolution steps | |
6678 | Double_t sc = 5.0; // Convolution extends to +-sc Gaussian sigmas | |
6679 | ||
6680 | // Variables | |
595cfc12 | 6681 | Double_t xx = 0.0; |
6682 | Double_t mpc = 0.0; | |
6683 | Double_t fland = 0.0; | |
6684 | Double_t sum = 0.0; | |
6685 | Double_t xlow = 0.0; | |
6686 | Double_t xupp = 0.0; | |
6687 | Double_t step = 0.0; | |
6688 | Double_t i = 0.0; | |
6689 | ||
6690 | // MP shift correction | |
6691 | mpc = par[1] - mpshift * par[0]; | |
6692 | ||
6693 | // Range of convolution integral | |
6694 | xlow = x[0] - sc * par[3]; | |
6695 | xupp = x[0] + sc * par[3]; | |
6696 | ||
6697 | step = (xupp - xlow) / np; | |
6698 | ||
6699 | // Convolution integral of Landau and Gaussian by sum | |
6700 | for (i = 1.0; i <= np/2; i++) { | |
6701 | ||
6702 | xx = xlow + (i-.5) * step; | |
6703 | if(par[0] > 0.0) fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
6704 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
6705 | ||
6706 | xx = xupp - (i-.5) * step; | |
6707 | if(par[0] > 0.0) fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
6708 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
6709 | ||
6710 | } | |
6711 | ||
6712 | if(par[3] > 0.0) return (par[2] * step * sum * invsq2pi / par[3]); | |
6713 | else return 0.0; | |
6714 | ||
6715 | } | |
6716 | //_____________________________________________________________________________ | |
6717 | Double_t AliTRDCalibraFit::LanGauFunEx(const Double_t *x, const Double_t *par) | |
6718 | { | |
6719 | // | |
6720 | // Function for the fit | |
6721 | // | |
6722 | // Fit parameters: | |
6723 | // par[0]=Width (scale) parameter of Landau density | |
6724 | // par[1]=Most Probable (MP, location) parameter of Landau density | |
6725 | // par[2]=Total area (integral -inf to inf, normalization constant) | |
6726 | // par[3]=Width (sigma) of convoluted Gaussian function | |
6727 | // par[4]=Exponential Slope Parameter | |
6728 | // | |
6729 | // In the Landau distribution (represented by the CERNLIB approximation), | |
6730 | // the maximum is located at x=-0.22278298 with the location parameter=0. | |
6731 | // This shift is corrected within this function, so that the actual | |
6732 | // maximum is identical to the MP parameter. | |
6733 | // | |
6734 | ||
6735 | // Numeric constants | |
6736 | Double_t invsq2pi = 0.3989422804014; // (2 pi)^(-1/2) | |
6737 | Double_t mpshift = -0.22278298; // Landau maximum location | |
6738 | ||
6739 | // Control constants | |
6740 | Double_t np = 100.0; // Number of convolution steps | |
6741 | Double_t sc = 5.0; // Convolution extends to +-sc Gaussian sigmas | |
6742 | ||
6743 | // Variables | |
6744 | Double_t xx= 0.0; | |
6745 | Double_t mpc= 0.0; | |
6746 | Double_t fland = 0.0; | |
55a288e5 | 6747 | Double_t sum = 0.0; |
595cfc12 | 6748 | Double_t xlow= 0.0; |
6749 | Double_t xupp= 0.0; | |
6750 | Double_t step= 0.0; | |
6751 | Double_t i= 0.0; | |
55a288e5 | 6752 | |
6753 | // MP shift correction | |
6754 | mpc = par[1] - mpshift * par[0]; | |
6755 | ||
6756 | // Range of convolution integral | |
6757 | xlow = x[0] - sc * par[3]; | |
6758 | xupp = x[0] + sc * par[3]; | |
6759 | ||
6760 | step = (xupp - xlow) / np; | |
6761 | ||
6762 | // Convolution integral of Landau and Gaussian by sum | |
6763 | for (i = 1.0; i <= np/2; i++) { | |
6764 | ||
6765 | xx = xlow + (i-.5) * step; | |
595cfc12 | 6766 | if(par[0] > 0.0) fland = TMath::Landau(xx,mpc,par[0])*TMath::Exp(-par[4]*xx) / par[0]; |
55a288e5 | 6767 | sum += fland * TMath::Gaus(x[0],xx,par[3]); |
6768 | ||
6769 | xx = xupp - (i-.5) * step; | |
595cfc12 | 6770 | if(par[0] > 0.0) fland = TMath::Landau(xx,mpc,par[0])*TMath::Exp(-par[4]*xx) / par[0]; |
55a288e5 | 6771 | sum += fland * TMath::Gaus(x[0],xx,par[3]); |
6772 | ||
6773 | } | |
6774 | ||
595cfc12 | 6775 | if(par[3] > 0.0) return (par[2] * step * sum * invsq2pi / par[3]); |
6776 | else return 0.0; | |
55a288e5 | 6777 | |
6778 | } | |
55a288e5 | 6779 | //_____________________________________________________________________________ |
979b168f | 6780 | TF1 *AliTRDCalibraFit::LanGauFit(TH1 *his, const Double_t *fitrange, const Double_t *startvalues |
6781 | , const Double_t *parlimitslo, const Double_t *parlimitshi | |
55a288e5 | 6782 | , Double_t *fitparams, Double_t *fiterrors |
e6381f8e | 6783 | , Double_t *chiSqr, Int_t *ndf) const |
55a288e5 | 6784 | { |
6785 | // | |
6786 | // Function for the fit | |
6787 | // | |
6788 | ||
6789 | Int_t i; | |
6790 | Char_t funname[100]; | |
6791 | ||
6792 | TF1 *ffitold = (TF1 *) gROOT->GetListOfFunctions()->FindObject(funname); | |
6793 | if (ffitold) { | |
6794 | delete ffitold; | |
6795 | } | |
6796 | ||
6797 | TF1 *ffit = new TF1(funname,LanGauFun,fitrange[0],fitrange[1],4); | |
6798 | ffit->SetParameters(startvalues); | |
6799 | ffit->SetParNames("Width","MP","Area","GSigma"); | |
6800 | ||
6801 | for (i = 0; i < 4; i++) { | |
6802 | ffit->SetParLimits(i,parlimitslo[i],parlimitshi[i]); | |
6803 | } | |
6804 | ||
595cfc12 | 6805 | his->Fit(funname,"WWQRB0"); // Fit within specified range, use ParLimits, do not plot |
55a288e5 | 6806 | |
6807 | ffit->GetParameters(fitparams); // Obtain fit parameters | |
6808 | for (i = 0; i < 4; i++) { | |
6809 | fiterrors[i] = ffit->GetParError(i); // Obtain fit parameter errors | |
6810 | } | |
6811 | chiSqr[0] = ffit->GetChisquare(); // Obtain chi^2 | |
6812 | ndf[0] = ffit->GetNDF(); // Obtain ndf | |
6813 | ||
6814 | return (ffit); // Return fit function | |
6815 | ||
6816 | } | |
55a288e5 | 6817 | //_____________________________________________________________________________ |
595cfc12 | 6818 | TF1 *AliTRDCalibraFit::LanGauFitEx(TH1 *his, const Double_t *fitrange, const Double_t *startvalues |
6819 | , const Double_t *parlimitslo, const Double_t *parlimitshi | |
6820 | , Double_t *fitparams, Double_t *fiterrors | |
6821 | , Double_t *chiSqr, Int_t *ndf) const | |
55a288e5 | 6822 | { |
6823 | // | |
6824 | // Function for the fit | |
6825 | // | |
55a288e5 | 6826 | |
595cfc12 | 6827 | Int_t i; |
6828 | Char_t funname[100]; | |
55a288e5 | 6829 | |
595cfc12 | 6830 | TF1 *ffitold = (TF1 *) gROOT->GetListOfFunctions()->FindObject(funname); |
6831 | if (ffitold) { | |
6832 | delete ffitold; | |
6833 | } | |
55a288e5 | 6834 | |
595cfc12 | 6835 | TF1 *ffit = new TF1(funname,LanGauFunEx,fitrange[0],fitrange[1],5); |
6836 | ffit->SetParameters(startvalues); | |
6837 | ffit->SetParNames("Width","MP","Area","GSigma","Ex"); | |
55a288e5 | 6838 | |
595cfc12 | 6839 | for (i = 0; i < 5; i++) { |
6840 | ffit->SetParLimits(i,parlimitslo[i],parlimitshi[i]); | |
55a288e5 | 6841 | } |
6842 | ||
595cfc12 | 6843 | his->Fit(funname,"WWQRB0"); // Fit within specified range, use ParLimits, do not plot |
55a288e5 | 6844 | |
595cfc12 | 6845 | ffit->GetParameters(fitparams); // Obtain fit parameters |
6846 | for (i = 0; i < 5; i++) { | |
6847 | fiterrors[i] = ffit->GetParError(i); // Obtain fit parameter errors | |
55a288e5 | 6848 | } |
595cfc12 | 6849 | chiSqr[0] = ffit->GetChisquare(); // Obtain chi^2 |
6850 | ndf[0] = ffit->GetNDF(); // Obtain ndf | |
55a288e5 | 6851 | |
595cfc12 | 6852 | return (ffit); // Return fit function |
6853 | ||
55a288e5 | 6854 | } |
55a288e5 | 6855 | |
4c865c34 | 6856 | |
3b0c1edc | 6857 | |
6858 |