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55a288e5 | 1 | /************************************************************************** |
2 | * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * | |
3 | * * | |
4 | * Author: The ALICE Off-line Project. * | |
5 | * Contributors are mentioned in the code where appropriate. * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
8 | * documentation strictly for non-commercial purposes is hereby granted * | |
9 | * without fee, provided that the above copyright notice appears in all * | |
10 | * copies and that both the copyright notice and this permission notice * | |
11 | * appear in the supporting documentation. The authors make no claims * | |
12 | * about the suitability of this software for any purpose. It is * | |
13 | * provided "as is" without express or implied warranty. * | |
14 | **************************************************************************/ | |
15 | ||
16 | /* $Id$ */ | |
17 | ||
18 | ///////////////////////////////////////////////////////////////////////////////// | |
19 | // | |
20 | // AliTRDCalibraFit | |
21 | // | |
22 | // This class is for the TRD calibration of the relative gain factor, the drift velocity, | |
23 | // the time 0 and the pad response function. It fits the histos. | |
24 | // The 2D histograms or vectors (first converted in 1D histos) will be fitted | |
25 | // if they have enough entries, otherwise the (default) value of the choosen database | |
26 | // will be put. For the relative gain calibration the resulted factors will be globally | |
27 | // normalized to the gain factors of the choosen database. It unables to precise | |
28 | // previous calibration procedure. | |
29 | // The function SetDebug enables the user to see: | |
30 | // _fDebug = 0: nothing, only the values are written in the tree if wanted | |
64942b85 | 31 | // _fDebug = 1: only the fit of the choosen calibration group fFitVoir (SetFitVoir) |
32 | // _fDebug = 2: a comparaison of the coefficients found and the default values | |
55a288e5 | 33 | // in the choosen database. |
34 | // fCoef , histogram of the coefs as function of the calibration group number | |
35 | // fDelta , histogram of the relative difference of the coef with the default | |
36 | // value in the database as function of the calibration group number | |
37 | // fError , dirstribution of this relative difference | |
55a288e5 | 38 | // _fDebug = 3: The coefficients in the choosen detector fDet (SetDet) as function of the |
39 | // pad row and col number | |
40 | // _fDebug = 4; The coeffcicients in the choosen detector fDet (SetDet) like in the 3 but with | |
41 | // also the comparaison histograms of the 1 for this detector | |
42 | // | |
43 | // | |
44 | // Author: | |
45 | // R. Bailhache (R.Bailhache@gsi.de) | |
46 | // | |
47 | ////////////////////////////////////////////////////////////////////////////////////// | |
48 | ||
55a288e5 | 49 | #include <TLine.h> |
50 | #include <TH1I.h> | |
51 | #include <TStyle.h> | |
52 | #include <TProfile2D.h> | |
55a288e5 | 53 | #include <TCanvas.h> |
54 | #include <TGraphErrors.h> | |
55a288e5 | 55 | #include <TObjArray.h> |
56 | #include <TH1.h> | |
57 | #include <TH1F.h> | |
58 | #include <TF1.h> | |
55a288e5 | 59 | #include <TAxis.h> |
55a288e5 | 60 | #include <TMath.h> |
55a288e5 | 61 | #include <TDirectory.h> |
62 | #include <TROOT.h> | |
3a0f6479 | 63 | #include <TTreeStream.h> |
64 | #include <TLinearFitter.h> | |
65 | #include <TVectorD.h> | |
66 | #include <TArrayF.h> | |
55a288e5 | 67 | |
68 | #include "AliLog.h" | |
3a0f6479 | 69 | #include "AliMathBase.h" |
55a288e5 | 70 | |
71 | #include "AliTRDCalibraFit.h" | |
72 | #include "AliTRDCalibraMode.h" | |
73 | #include "AliTRDCalibraVector.h" | |
3a0f6479 | 74 | #include "AliTRDCalibraVdriftLinearFit.h" |
55a288e5 | 75 | #include "AliTRDcalibDB.h" |
76 | #include "AliTRDgeometry.h" | |
3a0f6479 | 77 | #include "AliTRDpadPlane.h" |
78 | #include "AliTRDgeometry.h" | |
a076fc2f | 79 | #include "AliTRDCommonParam.h" |
55a288e5 | 80 | #include "./Cal/AliTRDCalROC.h" |
81 | #include "./Cal/AliTRDCalPad.h" | |
82 | #include "./Cal/AliTRDCalDet.h" | |
83 | ||
84 | ||
85 | ClassImp(AliTRDCalibraFit) | |
86 | ||
87 | AliTRDCalibraFit* AliTRDCalibraFit::fgInstance = 0; | |
88 | Bool_t AliTRDCalibraFit::fgTerminated = kFALSE; | |
89 | ||
90 | //_____________singleton implementation_________________________________________________ | |
91 | AliTRDCalibraFit *AliTRDCalibraFit::Instance() | |
92 | { | |
93 | // | |
94 | // Singleton implementation | |
95 | // | |
96 | ||
97 | if (fgTerminated != kFALSE) { | |
98 | return 0; | |
99 | } | |
100 | ||
101 | if (fgInstance == 0) { | |
102 | fgInstance = new AliTRDCalibraFit(); | |
103 | } | |
104 | ||
105 | return fgInstance; | |
106 | ||
107 | } | |
55a288e5 | 108 | //______________________________________________________________________________________ |
109 | void AliTRDCalibraFit::Terminate() | |
110 | { | |
111 | // | |
112 | // Singleton implementation | |
113 | // Deletes the instance of this class | |
114 | // | |
115 | ||
116 | fgTerminated = kTRUE; | |
117 | ||
118 | if (fgInstance != 0) { | |
119 | delete fgInstance; | |
120 | fgInstance = 0; | |
121 | } | |
122 | ||
123 | } | |
55a288e5 | 124 | //______________________________________________________________________________________ |
125 | AliTRDCalibraFit::AliTRDCalibraFit() | |
126 | :TObject() | |
f162af62 | 127 | ,fGeo(0) |
3a0f6479 | 128 | ,fNumberOfBinsExpected(0) |
129 | ,fMethod(0) | |
130 | ,fBeginFitCharge(3.5) | |
131 | ,fFitPHPeriode(1) | |
413153cb | 132 | ,fTakeTheMaxPH(kTRUE) |
133 | ,fT0Shift0(0.124797) | |
134 | ,fT0Shift1(0.267451) | |
3a0f6479 | 135 | ,fRangeFitPRF(1.0) |
55a288e5 | 136 | ,fAccCDB(kFALSE) |
3a0f6479 | 137 | ,fMinEntries(800) |
138 | ,fRebin(1) | |
55a288e5 | 139 | ,fNumberFit(0) |
140 | ,fNumberFitSuccess(0) | |
141 | ,fNumberEnt(0) | |
142 | ,fStatisticMean(0.0) | |
3a0f6479 | 143 | ,fDebugStreamer(0x0) |
144 | ,fDebugLevel(0) | |
55a288e5 | 145 | ,fFitVoir(0) |
3a0f6479 | 146 | ,fMagneticField(0.5) |
147 | ,fCalibraMode(new AliTRDCalibraMode()) | |
148 | ,fCurrentCoefE(0.0) | |
149 | ,fCurrentCoefE2(0.0) | |
150 | ,fDect1(0) | |
151 | ,fDect2(0) | |
55a288e5 | 152 | ,fScaleFitFactor(0.0) |
153 | ,fEntriesCurrent(0) | |
3a0f6479 | 154 | ,fCountDet(0) |
155 | ,fCount(0) | |
64942b85 | 156 | ,fNbDet(0) |
3a0f6479 | 157 | ,fCalDet(0x0) |
158 | ,fCalROC(0x0) | |
159 | ,fCalDet2(0x0) | |
160 | ,fCalROC2(0x0) | |
161 | ,fCurrentCoefDetector(0x0) | |
162 | ,fCurrentCoefDetector2(0x0) | |
163 | ,fVectorFit(0) | |
164 | ,fVectorFit2(0) | |
55a288e5 | 165 | { |
166 | // | |
167 | // Default constructor | |
168 | // | |
169 | ||
3a0f6479 | 170 | fGeo = new AliTRDgeometry(); |
171 | ||
172 | // Current variables initialised | |
173 | for (Int_t k = 0; k < 2; k++) { | |
174 | fCurrentCoef[k] = 0.0; | |
175 | fCurrentCoef2[k] = 0.0; | |
55a288e5 | 176 | } |
55a288e5 | 177 | for (Int_t i = 0; i < 3; i++) { |
3a0f6479 | 178 | fPhd[i] = 0.0; |
179 | fDet[i] = 0; | |
55a288e5 | 180 | } |
3a0f6479 | 181 | |
55a288e5 | 182 | } |
55a288e5 | 183 | //______________________________________________________________________________________ |
184 | AliTRDCalibraFit::AliTRDCalibraFit(const AliTRDCalibraFit &c) | |
3a0f6479 | 185 | :TObject(c) |
186 | ,fGeo(0) | |
187 | ,fNumberOfBinsExpected(c.fNumberOfBinsExpected) | |
188 | ,fMethod(c.fMethod) | |
189 | ,fBeginFitCharge(c.fBeginFitCharge) | |
190 | ,fFitPHPeriode(c.fFitPHPeriode) | |
191 | ,fTakeTheMaxPH(c.fTakeTheMaxPH) | |
413153cb | 192 | ,fT0Shift0(c.fT0Shift0) |
193 | ,fT0Shift1(c.fT0Shift1) | |
3a0f6479 | 194 | ,fRangeFitPRF(c.fRangeFitPRF) |
195 | ,fAccCDB(c.fAccCDB) | |
196 | ,fMinEntries(c.fMinEntries) | |
197 | ,fRebin(c.fRebin) | |
198 | ,fNumberFit(c.fNumberFit) | |
199 | ,fNumberFitSuccess(c.fNumberFitSuccess) | |
200 | ,fNumberEnt(c.fNumberEnt) | |
201 | ,fStatisticMean(c.fStatisticMean) | |
202 | ,fDebugStreamer(0x0) | |
203 | ,fDebugLevel(c.fDebugLevel) | |
204 | ,fFitVoir(c.fFitVoir) | |
205 | ,fMagneticField(c.fMagneticField) | |
206 | ,fCalibraMode(0x0) | |
207 | ,fCurrentCoefE(c.fCurrentCoefE) | |
208 | ,fCurrentCoefE2(c.fCurrentCoefE2) | |
209 | ,fDect1(c.fDect1) | |
210 | ,fDect2(c.fDect2) | |
211 | ,fScaleFitFactor(c.fScaleFitFactor) | |
212 | ,fEntriesCurrent(c.fEntriesCurrent) | |
213 | ,fCountDet(c.fCountDet) | |
214 | ,fCount(c.fCount) | |
64942b85 | 215 | ,fNbDet(c.fNbDet) |
3a0f6479 | 216 | ,fCalDet(0x0) |
217 | ,fCalROC(0x0) | |
218 | ,fCalDet2(0x0) | |
219 | ,fCalROC2(0x0) | |
220 | ,fCurrentCoefDetector(0x0) | |
221 | ,fCurrentCoefDetector2(0x0) | |
222 | ,fVectorFit(0) | |
223 | ,fVectorFit2(0) | |
55a288e5 | 224 | { |
225 | // | |
226 | // Copy constructor | |
227 | // | |
228 | ||
3a0f6479 | 229 | if(c.fCalibraMode) fCalibraMode = new AliTRDCalibraMode(*c.fCalibraMode); |
230 | ||
231 | //Current variables initialised | |
232 | for (Int_t k = 0; k < 2; k++) { | |
233 | fCurrentCoef[k] = 0.0; | |
234 | fCurrentCoef2[k] = 0.0; | |
235 | } | |
236 | for (Int_t i = 0; i < 3; i++) { | |
237 | fPhd[i] = 0.0; | |
238 | fDet[i] = 0; | |
239 | } | |
240 | if(c.fCalDet) fCalDet = new AliTRDCalDet(*c.fCalDet); | |
241 | if(c.fCalDet2) fCalDet2 = new AliTRDCalDet(*c.fCalDet2); | |
64942b85 | 242 | |
3a0f6479 | 243 | if(c.fCalROC) fCalROC = new AliTRDCalROC(*c.fCalROC); |
244 | if(c.fCalROC2) fCalROC = new AliTRDCalROC(*c.fCalROC2); | |
245 | ||
246 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
247 | for(Int_t k = 0; k < c.fVectorFit.GetEntriesFast(); k++){ | |
248 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
249 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetDetector(); | |
250 | Int_t ntotal = 1; | |
053767a4 | 251 | if (GetStack(detector) == 2) { |
3a0f6479 | 252 | ntotal = 1728; |
253 | } | |
254 | else { | |
255 | ntotal = 2304; | |
256 | } | |
257 | Float_t *coef = new Float_t[ntotal]; | |
258 | for (Int_t i = 0; i < ntotal; i++) { | |
259 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetCoef()[i]; | |
260 | } | |
261 | fitInfo->SetCoef(coef); | |
262 | fitInfo->SetDetector(detector); | |
263 | fVectorFit.Add((TObject *) fitInfo); | |
264 | } | |
265 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
266 | for(Int_t k = 0; k < c.fVectorFit2.GetEntriesFast(); k++){ | |
267 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
268 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetDetector(); | |
269 | Int_t ntotal = 1; | |
053767a4 | 270 | if (GetStack(detector) == 2) { |
3a0f6479 | 271 | ntotal = 1728; |
272 | } | |
273 | else { | |
274 | ntotal = 2304; | |
275 | } | |
276 | Float_t *coef = new Float_t[ntotal]; | |
277 | for (Int_t i = 0; i < ntotal; i++) { | |
278 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetCoef()[i]; | |
279 | } | |
280 | fitInfo->SetCoef(coef); | |
281 | fitInfo->SetDetector(detector); | |
282 | fVectorFit2.Add((TObject *) fitInfo); | |
283 | } | |
284 | if (fGeo) { | |
285 | delete fGeo; | |
286 | } | |
287 | fGeo = new AliTRDgeometry(); | |
55a288e5 | 288 | |
3a0f6479 | 289 | } |
55a288e5 | 290 | //____________________________________________________________________________________ |
291 | AliTRDCalibraFit::~AliTRDCalibraFit() | |
292 | { | |
293 | // | |
294 | // AliTRDCalibraFit destructor | |
295 | // | |
3a0f6479 | 296 | if ( fDebugStreamer ) delete fDebugStreamer; |
297 | if ( fCalDet ) delete fCalDet; | |
298 | if ( fCalDet2 ) delete fCalDet2; | |
299 | if ( fCalROC ) delete fCalROC; | |
1ca79a00 | 300 | if ( fCalROC2 ) delete fCalROC2; |
301 | if( fCurrentCoefDetector ) delete [] fCurrentCoefDetector; | |
302 | if( fCurrentCoefDetector2 ) delete [] fCurrentCoefDetector2; | |
3a0f6479 | 303 | fVectorFit.Delete(); |
304 | fVectorFit2.Delete(); | |
f162af62 | 305 | if (fGeo) { |
306 | delete fGeo; | |
307 | } | |
308 | ||
55a288e5 | 309 | } |
55a288e5 | 310 | //_____________________________________________________________________________ |
311 | void AliTRDCalibraFit::Destroy() | |
312 | { | |
313 | // | |
314 | // Delete instance | |
315 | // | |
316 | ||
317 | if (fgInstance) { | |
318 | delete fgInstance; | |
319 | fgInstance = 0x0; | |
320 | } | |
321 | ||
64942b85 | 322 | } |
323 | //_____________________________________________________________________________ | |
324 | void AliTRDCalibraFit::DestroyDebugStreamer() | |
325 | { | |
326 | // | |
327 | // Delete DebugStreamer | |
328 | // | |
329 | ||
330 | if ( fDebugStreamer ) delete fDebugStreamer; | |
331 | fDebugStreamer = 0x0; | |
332 | ||
413153cb | 333 | } |
334 | //__________________________________________________________________________________ | |
979b168f | 335 | void AliTRDCalibraFit::RangeChargeIntegration(Float_t vdrift, Float_t t0, Int_t &begin, Int_t &peak, Int_t &end) const |
413153cb | 336 | { |
337 | // | |
338 | // From the drift velocity and t0 | |
339 | // return the position of the peak and maximum negative slope | |
340 | // | |
341 | ||
342 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); // drift region | |
343 | Double_t widbins = 0.1; // 0.1 mus | |
344 | ||
345 | //peak and maxnegslope in mus | |
346 | Double_t begind = t0*widbins + fT0Shift0; | |
347 | Double_t peakd = t0*widbins + fT0Shift1; | |
348 | Double_t maxnegslope = (kDrWidth + vdrift*peakd)/vdrift; | |
349 | ||
350 | // peak and maxnegslope in timebin | |
351 | begin = TMath::Nint(begind*widbins); | |
352 | peak = TMath::Nint(peakd*widbins); | |
353 | end = TMath::Nint(maxnegslope*widbins); | |
354 | ||
55a288e5 | 355 | } |
55a288e5 | 356 | //____________Functions fit Online CH2d________________________________________ |
979b168f | 357 | Bool_t AliTRDCalibraFit::AnalyseCH(const TH2I *ch) |
55a288e5 | 358 | { |
359 | // | |
360 | // Fit the 1D histos, projections of the 2D ch on the Xaxis, for each | |
361 | // calibration group normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 362 | // |
363 | ||
3a0f6479 | 364 | // Set the calibration mode |
365 | const char *name = ch->GetTitle(); | |
64942b85 | 366 | if(!SetModeCalibration(name,0)) return kFALSE; |
3a0f6479 | 367 | |
368 | // Number of Ybins (detectors or groups of pads) | |
369 | Int_t nbins = ch->GetNbinsX();// charge | |
370 | Int_t nybins = ch->GetNbinsY();// groups number | |
371 | if (!InitFit(nybins,0)) { | |
55a288e5 | 372 | return kFALSE; |
373 | } | |
3a0f6479 | 374 | if (!InitFitCH()) { |
55a288e5 | 375 | return kFALSE; |
376 | } | |
377 | fStatisticMean = 0.0; | |
378 | fNumberFit = 0; | |
379 | fNumberFitSuccess = 0; | |
380 | fNumberEnt = 0; | |
55a288e5 | 381 | // Init fCountDet and fCount |
382 | InitfCountDetAndfCount(0); | |
55a288e5 | 383 | // Beginning of the loop betwwen dect1 and dect2 |
3a0f6479 | 384 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
385 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi... | |
55a288e5 | 386 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 387 | ReconstructFitRowMinRowMax(idect, 0); |
3a0f6479 | 388 | // Take the histo |
389 | TH1I *projch = (TH1I *) ch->ProjectionX("projch",idect+1,idect+1,(Option_t *)"e"); | |
390 | projch->SetDirectory(0); | |
55a288e5 | 391 | // Number of entries for this calibration group |
392 | Double_t nentries = 0.0; | |
393 | Double_t mean = 0.0; | |
3a0f6479 | 394 | for (Int_t k = 0; k < nbins; k++) { |
395 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
396 | nentries += ch->GetBinContent(binnb); | |
55a288e5 | 397 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); |
3a0f6479 | 398 | projch->SetBinError(k+1,TMath::Sqrt(projch->GetBinContent(k+1))); |
55a288e5 | 399 | } |
3a0f6479 | 400 | projch->SetEntries(nentries); |
401 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 402 | if (nentries > 0) { |
403 | fNumberEnt++; | |
404 | mean /= nentries; | |
405 | } | |
55a288e5 | 406 | // Rebin and statistic stuff |
55a288e5 | 407 | if (fRebin > 1) { |
408 | projch = ReBin((TH1I *) projch); | |
409 | } | |
410 | // This detector has not enough statistics or was off | |
3a0f6479 | 411 | if (nentries <= fMinEntries) { |
412 | NotEnoughStatisticCH(idect); | |
413 | if (fDebugLevel != 1) { | |
55a288e5 | 414 | delete projch; |
415 | } | |
416 | continue; | |
417 | } | |
55a288e5 | 418 | // Statistics of the group fitted |
55a288e5 | 419 | fStatisticMean += nentries; |
420 | fNumberFit++; | |
3a0f6479 | 421 | //Method choosen |
422 | switch(fMethod) | |
423 | { | |
424 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
425 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
426 | case 2: FitCH((TH1 *) projch, mean); break; | |
427 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
428 | default: return kFALSE; | |
429 | } | |
55a288e5 | 430 | // Fill Infos Fit |
3a0f6479 | 431 | FillInfosFitCH(idect); |
55a288e5 | 432 | // Memory!!! |
3a0f6479 | 433 | if (fDebugLevel != 1) { |
55a288e5 | 434 | delete projch; |
435 | } | |
55a288e5 | 436 | } // Boucle object |
55a288e5 | 437 | // Normierungcharge |
3a0f6479 | 438 | if (fDebugLevel != 1) { |
55a288e5 | 439 | NormierungCharge(); |
440 | } | |
55a288e5 | 441 | // Mean Statistic |
442 | if (fNumberFit > 0) { | |
3a0f6479 | 443 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit, fNumberFitSuccess)); |
55a288e5 | 444 | fStatisticMean = fStatisticMean / fNumberFit; |
445 | } | |
446 | else { | |
447 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
448 | } | |
3a0f6479 | 449 | delete fDebugStreamer; |
450 | fDebugStreamer = 0x0; | |
451 | ||
55a288e5 | 452 | return kTRUE; |
55a288e5 | 453 | } |
55a288e5 | 454 | //____________Functions fit Online CH2d________________________________________ |
3a0f6479 | 455 | Bool_t AliTRDCalibraFit::AnalyseCH(AliTRDCalibraVector *calvect) |
55a288e5 | 456 | { |
457 | // | |
458 | // Reconstruct a 1D histo from the vectorCH for each calibration group, | |
459 | // fit the histo, normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 460 | // |
461 | ||
3a0f6479 | 462 | // Set the calibraMode |
463 | const char *name = calvect->GetNameCH(); | |
64942b85 | 464 | if(!SetModeCalibration(name,0)) return kFALSE; |
55a288e5 | 465 | |
3a0f6479 | 466 | // Number of Xbins (detectors or groups of pads) |
467 | if (!InitFit((432*calvect->GetDetCha0(0)+108*calvect->GetDetCha2(0)),0)) { | |
55a288e5 | 468 | return kFALSE; |
469 | } | |
3a0f6479 | 470 | if (!InitFitCH()) { |
55a288e5 | 471 | return kFALSE; |
472 | } | |
473 | fStatisticMean = 0.0; | |
474 | fNumberFit = 0; | |
475 | fNumberFitSuccess = 0; | |
476 | fNumberEnt = 0; | |
55a288e5 | 477 | // Init fCountDet and fCount |
478 | InitfCountDetAndfCount(0); | |
55a288e5 | 479 | // Beginning of the loop between dect1 and dect2 |
3a0f6479 | 480 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
481 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 482 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 483 | ReconstructFitRowMinRowMax(idect,0); |
3a0f6479 | 484 | // Take the histo |
55a288e5 | 485 | Double_t nentries = 0.0; |
486 | Double_t mean = 0.0; | |
3a0f6479 | 487 | TH1F *projch = 0x0; |
488 | Bool_t something = kTRUE; | |
489 | if(!calvect->GetCHEntries(fCountDet)) something = kFALSE; | |
490 | if(something){ | |
7bce990c | 491 | TString tname("CH"); |
492 | tname += idect; | |
493 | projch = calvect->ConvertVectorCHHisto(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0)))),(const char *) tname); | |
3a0f6479 | 494 | projch->SetDirectory(0); |
495 | for (Int_t k = 0; k < calvect->GetNumberBinCharge(); k++) { | |
55a288e5 | 496 | nentries += projch->GetBinContent(k+1); |
497 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); | |
498 | } | |
3a0f6479 | 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); | |
507 | } | |
55a288e5 | 508 | } |
55a288e5 | 509 | // This detector has not enough statistics or was not found in VectorCH |
3a0f6479 | 510 | if (nentries <= fMinEntries) { |
511 | NotEnoughStatisticCH(idect); | |
512 | if (fDebugLevel != 1) { | |
513 | if(projch) delete projch; | |
55a288e5 | 514 | } |
55a288e5 | 515 | continue; |
55a288e5 | 516 | } |
55a288e5 | 517 | // Statistic of the histos fitted |
55a288e5 | 518 | fStatisticMean += nentries; |
519 | fNumberFit++; | |
3a0f6479 | 520 | //Method choosen |
521 | switch(fMethod) | |
522 | { | |
523 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
524 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
525 | case 2: FitCH((TH1 *) projch, mean); break; | |
526 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
527 | default: return kFALSE; | |
528 | } | |
55a288e5 | 529 | // Fill Infos Fit |
3a0f6479 | 530 | FillInfosFitCH(idect); |
55a288e5 | 531 | // Memory!!! |
3a0f6479 | 532 | if (fDebugLevel != 1) { |
55a288e5 | 533 | delete projch; |
534 | } | |
55a288e5 | 535 | } // Boucle object |
55a288e5 | 536 | // Normierungcharge |
3a0f6479 | 537 | if (fDebugLevel != 1) { |
55a288e5 | 538 | NormierungCharge(); |
539 | } | |
55a288e5 | 540 | // Mean Statistics |
541 | if (fNumberFit > 0) { | |
3a0f6479 | 542 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit, fNumberFitSuccess)); |
55a288e5 | 543 | fStatisticMean = fStatisticMean / fNumberFit; |
544 | } | |
545 | else { | |
546 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
547 | } | |
3a0f6479 | 548 | delete fDebugStreamer; |
549 | fDebugStreamer = 0x0; | |
55a288e5 | 550 | return kTRUE; |
55a288e5 | 551 | } |
3a0f6479 | 552 | //________________functions fit Online PH2d____________________________________ |
979b168f | 553 | Bool_t AliTRDCalibraFit::AnalysePH(const TProfile2D *ph) |
55a288e5 | 554 | { |
555 | // | |
3a0f6479 | 556 | // Take the 1D profiles (average pulse height), projections of the 2D PH |
557 | // on the Xaxis, for each calibration group | |
558 | // Reconstruct a drift velocity | |
559 | // A first calibration of T0 is also made using the same method | |
55a288e5 | 560 | // |
561 | ||
3a0f6479 | 562 | // Set the calibration mode |
563 | const char *name = ph->GetTitle(); | |
64942b85 | 564 | if(!SetModeCalibration(name,1)) return kFALSE; |
3a0f6479 | 565 | |
566 | // Number of Xbins (detectors or groups of pads) | |
567 | Int_t nbins = ph->GetNbinsX();// time | |
568 | Int_t nybins = ph->GetNbinsY();// calibration group | |
569 | if (!InitFit(nybins,1)) { | |
55a288e5 | 570 | return kFALSE; |
571 | } | |
3a0f6479 | 572 | if (!InitFitPH()) { |
55a288e5 | 573 | return kFALSE; |
574 | } | |
575 | fStatisticMean = 0.0; | |
576 | fNumberFit = 0; | |
577 | fNumberFitSuccess = 0; | |
578 | fNumberEnt = 0; | |
55a288e5 | 579 | // Init fCountDet and fCount |
3a0f6479 | 580 | InitfCountDetAndfCount(1); |
581 | // Beginning of the loop | |
582 | for (Int_t idect = fDect1; idect < fDect2; idect++) { | |
583 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... | |
584 | UpdatefCountDetAndfCount(idect,1); | |
585 | ReconstructFitRowMinRowMax(idect,1); | |
586 | // Take the histo | |
587 | TH1D *projph = (TH1D *) ph->ProjectionX("projph",idect+1,idect+1,(Option_t *) "e"); | |
588 | projph->SetDirectory(0); | |
589 | // Number of entries for this calibration group | |
590 | Double_t nentries = 0; | |
591 | for (Int_t k = 0; k < nbins; k++) { | |
592 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
593 | nentries += ph->GetBinEntries(binnb); | |
55a288e5 | 594 | } |
55a288e5 | 595 | if (nentries > 0) { |
3a0f6479 | 596 | fNumberEnt++; |
597 | } | |
598 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
599 | // This detector has not enough statistics or was off | |
600 | if (nentries <= fMinEntries) { | |
601 | //printf("Not enough statistic!\n"); | |
64942b85 | 602 | NotEnoughStatisticPH(idect,nentries); |
3a0f6479 | 603 | if (fDebugLevel != 1) { |
604 | delete projph; | |
605 | } | |
55a288e5 | 606 | continue; |
55a288e5 | 607 | } |
3a0f6479 | 608 | // Statistics of the histos fitted |
55a288e5 | 609 | fNumberFit++; |
610 | fStatisticMean += nentries; | |
3a0f6479 | 611 | // Calcul of "real" coef |
612 | CalculVdriftCoefMean(); | |
613 | CalculT0CoefMean(); | |
614 | //Method choosen | |
615 | switch(fMethod) | |
616 | { | |
617 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
618 | case 1: FitPente((TH1 *) projph); break; | |
619 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
620 | default: return kFALSE; | |
621 | } | |
622 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
64942b85 | 623 | FillInfosFitPH(idect,nentries); |
3a0f6479 | 624 | // Memory!!! |
625 | if (fDebugLevel != 1) { | |
626 | delete projph; | |
55a288e5 | 627 | } |
55a288e5 | 628 | } // Boucle object |
55a288e5 | 629 | // Mean Statistic |
630 | if (fNumberFit > 0) { | |
3a0f6479 | 631 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); |
55a288e5 | 632 | fStatisticMean = fStatisticMean / fNumberFit; |
633 | } | |
634 | else { | |
635 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
636 | } | |
3a0f6479 | 637 | delete fDebugStreamer; |
638 | fDebugStreamer = 0x0; | |
55a288e5 | 639 | return kTRUE; |
55a288e5 | 640 | } |
3a0f6479 | 641 | //____________Functions fit Online PH2d________________________________________ |
642 | Bool_t AliTRDCalibraFit::AnalysePH(AliTRDCalibraVector *calvect) | |
55a288e5 | 643 | { |
644 | // | |
3a0f6479 | 645 | // Reconstruct the average pulse height from the vectorPH for each |
646 | // calibration group | |
647 | // Reconstruct a drift velocity | |
55a288e5 | 648 | // A first calibration of T0 is also made using the same method (slope method) |
649 | // | |
650 | ||
3a0f6479 | 651 | // Set the calibration mode |
652 | const char *name = calvect->GetNamePH(); | |
64942b85 | 653 | if(!SetModeCalibration(name,1)) return kFALSE; |
3a0f6479 | 654 | |
655 | // Number of Xbins (detectors or groups of pads) | |
656 | if (!InitFit((432*calvect->GetDetCha0(1)+108*calvect->GetDetCha2(1)),1)) { | |
55a288e5 | 657 | return kFALSE; |
658 | } | |
3a0f6479 | 659 | if (!InitFitPH()) { |
55a288e5 | 660 | return kFALSE; |
661 | } | |
662 | fStatisticMean = 0.0; | |
663 | fNumberFit = 0; | |
664 | fNumberFitSuccess = 0; | |
665 | fNumberEnt = 0; | |
55a288e5 | 666 | // Init fCountDet and fCount |
667 | InitfCountDetAndfCount(1); | |
55a288e5 | 668 | // Beginning of the loop |
3a0f6479 | 669 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
670 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 671 | UpdatefCountDetAndfCount(idect,1); |
55a288e5 | 672 | ReconstructFitRowMinRowMax(idect,1); |
3a0f6479 | 673 | // Take the histo |
674 | TH1F *projph = 0x0; | |
675 | fEntriesCurrent = 0; | |
676 | Bool_t something = kTRUE; | |
677 | if(!calvect->GetPHEntries(fCountDet)) something = kFALSE; | |
678 | if(something){ | |
7bce990c | 679 | TString tname("PH"); |
680 | tname += idect; | |
681 | projph = CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPHTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname))); | |
3a0f6479 | 682 | projph->SetDirectory(0); |
683 | } | |
684 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); | |
55a288e5 | 685 | // This detector has not enough statistics or was off |
3a0f6479 | 686 | if (fEntriesCurrent <= fMinEntries) { |
687 | //printf("Not enough stat!\n"); | |
64942b85 | 688 | NotEnoughStatisticPH(idect,fEntriesCurrent); |
3a0f6479 | 689 | if (fDebugLevel != 1) { |
690 | if(projph) delete projph; | |
55a288e5 | 691 | } |
55a288e5 | 692 | continue; |
55a288e5 | 693 | } |
3a0f6479 | 694 | // Statistic of the histos fitted |
55a288e5 | 695 | fNumberFit++; |
3a0f6479 | 696 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 697 | // Calcul of "real" coef |
3a0f6479 | 698 | CalculVdriftCoefMean(); |
699 | CalculT0CoefMean(); | |
700 | //Method choosen | |
701 | switch(fMethod) | |
702 | { | |
703 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
704 | case 1: FitPente((TH1 *) projph); break; | |
705 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
706 | default: return kFALSE; | |
707 | } | |
55a288e5 | 708 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
64942b85 | 709 | FillInfosFitPH(idect,fEntriesCurrent); |
55a288e5 | 710 | // Memory!!! |
3a0f6479 | 711 | if (fDebugLevel != 1) { |
55a288e5 | 712 | delete projph; |
713 | } | |
55a288e5 | 714 | } // Boucle object |
3a0f6479 | 715 | |
55a288e5 | 716 | // Mean Statistic |
717 | if (fNumberFit > 0) { | |
3a0f6479 | 718 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); |
55a288e5 | 719 | fStatisticMean = fStatisticMean / fNumberFit; |
720 | } | |
721 | else { | |
722 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
723 | } | |
3a0f6479 | 724 | delete fDebugStreamer; |
725 | fDebugStreamer = 0x0; | |
55a288e5 | 726 | return kTRUE; |
55a288e5 | 727 | } |
3a0f6479 | 728 | //____________Functions fit Online PRF2d_______________________________________ |
979b168f | 729 | Bool_t AliTRDCalibraFit::AnalysePRF(const TProfile2D *prf) |
55a288e5 | 730 | { |
731 | // | |
3a0f6479 | 732 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
733 | // on the Xaxis, for each calibration group | |
734 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 735 | // |
736 | ||
3a0f6479 | 737 | // Set the calibration mode |
738 | const char *name = prf->GetTitle(); | |
64942b85 | 739 | if(!SetModeCalibration(name,2)) return kFALSE; |
55a288e5 | 740 | |
3a0f6479 | 741 | // Number of Ybins (detectors or groups of pads) |
742 | Int_t nybins = prf->GetNbinsY();// calibration groups | |
743 | Int_t nbins = prf->GetNbinsX();// bins | |
744 | Int_t nbg = GetNumberOfGroupsPRF((const char *)prf->GetTitle()); | |
745 | if((nbg > 0) || (nbg == -1)) return kFALSE; | |
746 | if (!InitFit(nybins,2)) { | |
55a288e5 | 747 | return kFALSE; |
748 | } | |
3a0f6479 | 749 | if (!InitFitPRF()) { |
55a288e5 | 750 | return kFALSE; |
751 | } | |
752 | fStatisticMean = 0.0; | |
753 | fNumberFit = 0; | |
754 | fNumberFitSuccess = 0; | |
755 | fNumberEnt = 0; | |
55a288e5 | 756 | // Init fCountDet and fCount |
3a0f6479 | 757 | InitfCountDetAndfCount(2); |
55a288e5 | 758 | // Beginning of the loop |
3a0f6479 | 759 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
760 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
761 | UpdatefCountDetAndfCount(idect,2); | |
762 | ReconstructFitRowMinRowMax(idect,2); | |
763 | // Take the histo | |
764 | TH1D *projprf = (TH1D *) prf->ProjectionX("projprf",idect+1,idect+1,(Option_t *) "e"); | |
765 | projprf->SetDirectory(0); | |
766 | // Number of entries for this calibration group | |
767 | Double_t nentries = 0; | |
768 | for (Int_t k = 0; k < nbins; k++) { | |
769 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
770 | nentries += prf->GetBinEntries(binnb); | |
55a288e5 | 771 | } |
3a0f6479 | 772 | if(nentries > 0) fNumberEnt++; |
55a288e5 | 773 | // This detector has not enough statistics or was off |
3a0f6479 | 774 | if (nentries <= fMinEntries) { |
775 | NotEnoughStatisticPRF(idect); | |
776 | if (fDebugLevel != 1) { | |
777 | delete projprf; | |
55a288e5 | 778 | } |
55a288e5 | 779 | continue; |
55a288e5 | 780 | } |
3a0f6479 | 781 | // Statistics of the histos fitted |
55a288e5 | 782 | fNumberFit++; |
3a0f6479 | 783 | fStatisticMean += nentries; |
55a288e5 | 784 | // Calcul of "real" coef |
3a0f6479 | 785 | CalculPRFCoefMean(); |
786 | //Method choosen | |
787 | switch(fMethod) | |
788 | { | |
789 | case 0: FitPRF((TH1 *) projprf); break; | |
790 | case 1: RmsPRF((TH1 *) projprf); break; | |
791 | default: return kFALSE; | |
792 | } | |
55a288e5 | 793 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 794 | FillInfosFitPRF(idect); |
55a288e5 | 795 | // Memory!!! |
3a0f6479 | 796 | if (fDebugLevel != 1) { |
797 | delete projprf; | |
55a288e5 | 798 | } |
55a288e5 | 799 | } // Boucle object |
55a288e5 | 800 | // Mean Statistic |
801 | if (fNumberFit > 0) { | |
802 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
803 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
804 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
805 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
806 | fStatisticMean = fStatisticMean / fNumberFit; | |
807 | } | |
808 | else { | |
809 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
810 | } | |
3a0f6479 | 811 | delete fDebugStreamer; |
812 | fDebugStreamer = 0x0; | |
55a288e5 | 813 | return kTRUE; |
55a288e5 | 814 | } |
3a0f6479 | 815 | //____________Functions fit Online PRF2d_______________________________________ |
979b168f | 816 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(const TProfile2D *prf) |
55a288e5 | 817 | { |
818 | // | |
3a0f6479 | 819 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
820 | // on the Xaxis, for each calibration group | |
821 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 822 | // |
3a0f6479 | 823 | |
824 | // Set the calibration mode | |
825 | const char *name = prf->GetTitle(); | |
64942b85 | 826 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 827 | |
828 | // Number of Ybins (detectors or groups of pads) | |
829 | TAxis *xprf = prf->GetXaxis(); | |
830 | TAxis *yprf = prf->GetYaxis(); | |
831 | Int_t nybins = yprf->GetNbins();// calibration groups | |
832 | Int_t nbins = xprf->GetNbins();// bins | |
833 | Float_t lowedge = (Float_t) xprf->GetBinLowEdge(1);//lowedge in bins | |
834 | Float_t upedge = (Float_t) xprf->GetBinUpEdge(nbins);//upedge in bins | |
835 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
836 | if(nbg == -1) return kFALSE; | |
837 | if(nbg > 0) fMethod = 1; | |
838 | else fMethod = 0; | |
839 | if (!InitFit(nybins,2)) { | |
55a288e5 | 840 | return kFALSE; |
841 | } | |
3a0f6479 | 842 | if (!InitFitPRF()) { |
55a288e5 | 843 | return kFALSE; |
844 | } | |
845 | fStatisticMean = 0.0; | |
3a0f6479 | 846 | fNumberFit = 0; |
55a288e5 | 847 | fNumberFitSuccess = 0; |
848 | fNumberEnt = 0; | |
55a288e5 | 849 | // Init fCountDet and fCount |
3a0f6479 | 850 | InitfCountDetAndfCount(2); |
55a288e5 | 851 | // Beginning of the loop |
3a0f6479 | 852 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
853 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... | |
854 | UpdatefCountDetAndfCount(idect,2); | |
855 | ReconstructFitRowMinRowMax(idect,2); | |
856 | // Build the array of entries and sum | |
857 | TArrayD arraye = TArrayD(nbins); | |
858 | TArrayD arraym = TArrayD(nbins); | |
859 | TArrayD arrayme = TArrayD(nbins); | |
860 | Double_t nentries = 0; | |
861 | //printf("nbins %d\n",nbins); | |
862 | for (Int_t k = 0; k < nbins; k++) { | |
863 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
864 | Double_t entries = (Double_t)prf->GetBinEntries(binnb); | |
865 | Double_t mean = (Double_t)prf->GetBinContent(binnb); | |
866 | Double_t error = (Double_t)prf->GetBinError(binnb); | |
867 | //printf("for %d we have %f\n",k,entries); | |
868 | nentries += entries; | |
869 | arraye.AddAt(entries,k); | |
870 | arraym.AddAt(mean,k); | |
871 | arrayme.AddAt(error,k); | |
55a288e5 | 872 | } |
3a0f6479 | 873 | if(nentries > 0) fNumberEnt++; |
874 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 875 | // This detector has not enough statistics or was off |
3a0f6479 | 876 | if (nentries <= fMinEntries) { |
877 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 878 | continue; |
55a288e5 | 879 | } |
55a288e5 | 880 | // Statistics of the histos fitted |
55a288e5 | 881 | fNumberFit++; |
3a0f6479 | 882 | fStatisticMean += nentries; |
55a288e5 | 883 | // Calcul of "real" coef |
3a0f6479 | 884 | CalculPRFCoefMean(); |
885 | //Method choosen | |
886 | switch(fMethod) | |
887 | { | |
888 | case 0: FitPRFGausMI( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbins, lowedge, upedge); break; | |
889 | case 1: FitTnpRange( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbg, nbins); break; | |
890 | default: return kFALSE; | |
891 | } | |
55a288e5 | 892 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 893 | FillInfosFitPRF(idect); |
55a288e5 | 894 | } // Boucle object |
3a0f6479 | 895 | // Mean Statistic |
55a288e5 | 896 | if (fNumberFit > 0) { |
897 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
898 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
899 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
900 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
901 | fStatisticMean = fStatisticMean / fNumberFit; | |
902 | } | |
903 | else { | |
904 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
905 | } | |
3a0f6479 | 906 | delete fDebugStreamer; |
907 | fDebugStreamer = 0x0; | |
55a288e5 | 908 | return kTRUE; |
55a288e5 | 909 | } |
55a288e5 | 910 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 911 | Bool_t AliTRDCalibraFit::AnalysePRF(AliTRDCalibraVector *calvect) |
55a288e5 | 912 | { |
913 | // | |
3a0f6479 | 914 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for |
915 | // each calibration group | |
55a288e5 | 916 | // Fit with a gaussian to reconstruct the sigma of the pad response function |
55a288e5 | 917 | // |
918 | ||
3a0f6479 | 919 | // Set the calibra mode |
920 | const char *name = calvect->GetNamePRF(); | |
64942b85 | 921 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 922 | //printf("test0 %s\n",name); |
55a288e5 | 923 | |
924 | // Number of Xbins (detectors or groups of pads) | |
3a0f6479 | 925 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { |
926 | //printf("test1\n"); | |
927 | return kFALSE; | |
928 | } | |
929 | if (!InitFitPRF()) { | |
930 | ///printf("test2\n"); | |
55a288e5 | 931 | return kFALSE; |
932 | } | |
933 | fStatisticMean = 0.0; | |
934 | fNumberFit = 0; | |
935 | fNumberFitSuccess = 0; | |
936 | fNumberEnt = 0; | |
55a288e5 | 937 | // Init fCountDet and fCount |
938 | InitfCountDetAndfCount(2); | |
55a288e5 | 939 | // Beginning of the loop |
3a0f6479 | 940 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
941 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........ | |
55a288e5 | 942 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 943 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 944 | // Take the histo |
945 | TH1F *projprf = 0x0; | |
946 | fEntriesCurrent = 0; | |
947 | Bool_t something = kTRUE; | |
948 | if(!calvect->GetPRFEntries(fCountDet)) something = kFALSE; | |
949 | if(something){ | |
7bce990c | 950 | TString tname("PRF"); |
951 | tname += idect; | |
952 | projprf = CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname))); | |
3a0f6479 | 953 | projprf->SetDirectory(0); |
954 | } | |
55a288e5 | 955 | // This detector has not enough statistics or was off |
3a0f6479 | 956 | if (fEntriesCurrent <= fMinEntries) { |
957 | NotEnoughStatisticPRF(idect); | |
958 | if (fDebugLevel != 1) { | |
959 | if(projprf) delete projprf; | |
55a288e5 | 960 | } |
55a288e5 | 961 | continue; |
55a288e5 | 962 | } |
3a0f6479 | 963 | // Statistic of the histos fitted |
55a288e5 | 964 | fNumberFit++; |
3a0f6479 | 965 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 966 | // Calcul of "real" coef |
3a0f6479 | 967 | CalculPRFCoefMean(); |
968 | //Method choosen | |
969 | switch(fMethod) | |
970 | { | |
971 | case 1: FitPRF((TH1 *) projprf); break; | |
972 | case 2: RmsPRF((TH1 *) projprf); break; | |
973 | default: return kFALSE; | |
974 | } | |
55a288e5 | 975 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 976 | FillInfosFitPRF(idect); |
55a288e5 | 977 | // Memory!!! |
3a0f6479 | 978 | if (fDebugLevel != 1) { |
55a288e5 | 979 | delete projprf; |
980 | } | |
55a288e5 | 981 | } // Boucle object |
3a0f6479 | 982 | // Mean Statistics |
55a288e5 | 983 | if (fNumberFit > 0) { |
3a0f6479 | 984 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); |
55a288e5 | 985 | } |
986 | else { | |
987 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
988 | } | |
3a0f6479 | 989 | delete fDebugStreamer; |
990 | fDebugStreamer = 0x0; | |
55a288e5 | 991 | return kTRUE; |
55a288e5 | 992 | } |
55a288e5 | 993 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 994 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(AliTRDCalibraVector *calvect) |
55a288e5 | 995 | { |
996 | // | |
997 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for | |
998 | // each calibration group | |
999 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 1000 | // |
1001 | ||
3a0f6479 | 1002 | // Set the calibra mode |
1003 | const char *name = calvect->GetNamePRF(); | |
64942b85 | 1004 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 1005 | //printf("test0 %s\n",name); |
1006 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
64942b85 | 1007 | //printf("test1 %d\n",nbg); |
3a0f6479 | 1008 | if(nbg == -1) return kFALSE; |
1009 | if(nbg > 0) fMethod = 1; | |
1010 | else fMethod = 0; | |
1011 | // Number of Xbins (detectors or groups of pads) | |
1012 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { | |
1013 | //printf("test2\n"); | |
55a288e5 | 1014 | return kFALSE; |
1015 | } | |
3a0f6479 | 1016 | if (!InitFitPRF()) { |
1017 | //printf("test3\n"); | |
55a288e5 | 1018 | return kFALSE; |
1019 | } | |
1020 | fStatisticMean = 0.0; | |
1021 | fNumberFit = 0; | |
1022 | fNumberFitSuccess = 0; | |
1023 | fNumberEnt = 0; | |
3a0f6479 | 1024 | // Variables |
1025 | Int_t nbins = 0; | |
1026 | Double_t *arrayx = 0; | |
1027 | Double_t *arraye = 0; | |
1028 | Double_t *arraym = 0; | |
1029 | Double_t *arrayme = 0; | |
1030 | Float_t lowedge = 0.0; | |
1031 | Float_t upedge = 0.0; | |
55a288e5 | 1032 | // Init fCountDet and fCount |
1033 | InitfCountDetAndfCount(2); | |
55a288e5 | 1034 | // Beginning of the loop |
3a0f6479 | 1035 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
1036 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
55a288e5 | 1037 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 1038 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 1039 | // Take the histo |
1040 | TGraphErrors *projprftree = 0x0; | |
1041 | fEntriesCurrent = 0; | |
1042 | Bool_t something = kTRUE; | |
1043 | if(!calvect->GetPRFEntries(fCountDet)) something = kFALSE; | |
1044 | if(something){ | |
7bce990c | 1045 | TString tname("PRF"); |
1046 | tname += idect; | |
1047 | projprftree = calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname); | |
3a0f6479 | 1048 | nbins = projprftree->GetN(); |
1049 | arrayx = (Double_t *)projprftree->GetX(); | |
1050 | arraye = (Double_t *)projprftree->GetEX(); | |
1051 | arraym = (Double_t *)projprftree->GetY(); | |
1052 | arrayme = (Double_t *)projprftree->GetEY(); | |
1053 | Float_t step = arrayx[1]-arrayx[0]; | |
1054 | lowedge = arrayx[0] - step/2.0; | |
1055 | upedge = arrayx[(nbins-1)] + step/2.0; | |
1056 | //printf("nbins est %d\n",nbins); | |
1057 | for(Int_t k = 0; k < nbins; k++){ | |
1058 | fEntriesCurrent += (Int_t)arraye[k]; | |
1059 | //printf("for %d we have %f, %f\n",k,arraye[k],((projprftree->GetEX())[k])); | |
1060 | if(arraye[k]>0.0) arrayme[k] = TMath::Sqrt(TMath::Abs(arrayme[k]-arraym[k]*arraym[k])/arraye[k]); | |
55a288e5 | 1061 | } |
3a0f6479 | 1062 | if(fEntriesCurrent > 0) fNumberEnt++; |
1063 | } | |
1064 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); | |
1065 | // This detector has not enough statistics or was off | |
1066 | if (fEntriesCurrent <= fMinEntries) { | |
1067 | NotEnoughStatisticPRF(idect); | |
1068 | if(projprftree) delete projprftree; | |
55a288e5 | 1069 | continue; |
55a288e5 | 1070 | } |
55a288e5 | 1071 | // Statistic of the histos fitted |
55a288e5 | 1072 | fNumberFit++; |
1073 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1074 | // Calcul of "real" coef |
3a0f6479 | 1075 | CalculPRFCoefMean(); |
1076 | //Method choosen | |
1077 | switch(fMethod) | |
1078 | { | |
1079 | case 0: FitPRFGausMI(arraye,arraym,arrayme,nbins,lowedge,upedge); break; | |
1080 | case 1: FitTnpRange(arraye,arraym,arrayme,nbg,nbins); break; | |
1081 | default: return kFALSE; | |
1082 | } | |
55a288e5 | 1083 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 1084 | FillInfosFitPRF(idect); |
55a288e5 | 1085 | // Memory!!! |
3a0f6479 | 1086 | if (fDebugLevel != 1) { |
1087 | delete projprftree; | |
55a288e5 | 1088 | } |
55a288e5 | 1089 | } // Boucle object |
55a288e5 | 1090 | // Mean Statistics |
1091 | if (fNumberFit > 0) { | |
3a0f6479 | 1092 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); |
55a288e5 | 1093 | } |
1094 | else { | |
1095 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1096 | } | |
3a0f6479 | 1097 | delete fDebugStreamer; |
1098 | fDebugStreamer = 0x0; | |
55a288e5 | 1099 | return kTRUE; |
55a288e5 | 1100 | } |
3a0f6479 | 1101 | //____________Functions fit Online CH2d________________________________________ |
1102 | Bool_t AliTRDCalibraFit::AnalyseLinearFitters(AliTRDCalibraVdriftLinearFit *calivdli) | |
55a288e5 | 1103 | { |
1104 | // | |
3a0f6479 | 1105 | // The linear method |
55a288e5 | 1106 | // |
1107 | ||
55a288e5 | 1108 | fStatisticMean = 0.0; |
1109 | fNumberFit = 0; | |
1110 | fNumberFitSuccess = 0; | |
1111 | fNumberEnt = 0; | |
3a0f6479 | 1112 | if(!InitFitLinearFitter()) return kFALSE; |
55a288e5 | 1113 | |
3a0f6479 | 1114 | |
1115 | for(Int_t idet = 0; idet < 540; idet++){ | |
55a288e5 | 1116 | |
55a288e5 | 1117 | |
3a0f6479 | 1118 | //printf("detector number %d\n",idet); |
55a288e5 | 1119 | |
3a0f6479 | 1120 | // Take the result |
1121 | TVectorD param(2); | |
1122 | TVectorD error(3); | |
1123 | fEntriesCurrent = 0; | |
1124 | fCountDet = idet; | |
1125 | Bool_t here = calivdli->GetParam(idet,¶m); | |
1126 | Bool_t heree = calivdli->GetError(idet,&error); | |
1127 | //printf("here %d and heree %d\n",here, heree); | |
1128 | if(heree) { | |
1129 | fEntriesCurrent = (Int_t) error[2]; | |
55a288e5 | 1130 | fNumberEnt++; |
55a288e5 | 1131 | } |
3a0f6479 | 1132 | //printf("Number of entries %d\n",fEntriesCurrent); |
1133 | // Nothing found or not enough statistic | |
1134 | if((!heree) || (!here) || (fEntriesCurrent <= fMinEntries)) { | |
1135 | NotEnoughStatisticLinearFitter(); | |
1136 | continue; | |
1137 | } | |
1138 | //param.Print(); | |
1139 | //error.Print(); | |
1140 | //Statistics | |
1141 | fNumberFit++; | |
1142 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1143 | |
3a0f6479 | 1144 | // Check the fit |
1145 | if((-(param[1])) <= 0.0) { | |
1146 | NotEnoughStatisticLinearFitter(); | |
1147 | continue; | |
1148 | } | |
55a288e5 | 1149 | |
3a0f6479 | 1150 | // CalculDatabaseVdriftandTan |
1151 | CalculVdriftLorentzCoef(); | |
55a288e5 | 1152 | |
3a0f6479 | 1153 | // Statistics |
1154 | fNumberFitSuccess ++; | |
55a288e5 | 1155 | |
3a0f6479 | 1156 | // Put the fCurrentCoef |
1157 | fCurrentCoef[0] = -param[1]; | |
1158 | // here the database must be the one of the reconstruction for the lorentz angle.... | |
1159 | fCurrentCoef2[0] = (param[0]+fCurrentCoef[1]*fCurrentCoef2[1])/fCurrentCoef[0]; | |
1160 | fCurrentCoefE = error[1]; | |
1161 | fCurrentCoefE2 = error[0]; | |
1162 | if((fCurrentCoef2[0] != 0.0) && (param[0] != 0.0)){ | |
1163 | fCurrentCoefE2 = (fCurrentCoefE2/param[0]+fCurrentCoefE/fCurrentCoef[0])*fCurrentCoef2[0]; | |
1164 | } | |
55a288e5 | 1165 | |
3a0f6479 | 1166 | // Fill |
1167 | FillInfosFitLinearFitter(); | |
55a288e5 | 1168 | |
55a288e5 | 1169 | |
55a288e5 | 1170 | } |
55a288e5 | 1171 | // Mean Statistics |
1172 | if (fNumberFit > 0) { | |
3a0f6479 | 1173 | AliInfo(Form("There are %d with at least one entries. %d fits have been proceeded (sucessfully or not...). There is a mean statistic of: %d over these fitted histograms and %d successfulled fits",fNumberEnt, fNumberFit, (Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); |
55a288e5 | 1174 | } |
1175 | else { | |
1176 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1177 | } | |
3a0f6479 | 1178 | delete fDebugStreamer; |
1179 | fDebugStreamer = 0x0; | |
55a288e5 | 1180 | return kTRUE; |
1181 | ||
1182 | } | |
55a288e5 | 1183 | //____________Functions for seeing if the pad is really okey___________________ |
3a0f6479 | 1184 | //_____________________________________________________________________________ |
1185 | Int_t AliTRDCalibraFit::GetNumberOfGroupsPRF(const char* nametitle) | |
1186 | { | |
1187 | // | |
1188 | // Get numberofgroupsprf | |
1189 | // | |
1190 | ||
1191 | // Some patterns | |
1192 | const Char_t *pattern0 = "Ngp0"; | |
1193 | const Char_t *pattern1 = "Ngp1"; | |
1194 | const Char_t *pattern2 = "Ngp2"; | |
1195 | const Char_t *pattern3 = "Ngp3"; | |
1196 | const Char_t *pattern4 = "Ngp4"; | |
1197 | const Char_t *pattern5 = "Ngp5"; | |
1198 | const Char_t *pattern6 = "Ngp6"; | |
1199 | ||
1200 | // Nrphi mode | |
1201 | if (strstr(nametitle,pattern0)) { | |
1202 | return 0; | |
1203 | } | |
1204 | if (strstr(nametitle,pattern1)) { | |
1205 | return 1; | |
1206 | } | |
1207 | if (strstr(nametitle,pattern2)) { | |
1208 | return 2; | |
1209 | } | |
1210 | if (strstr(nametitle,pattern3)) { | |
1211 | return 3; | |
1212 | } | |
1213 | if (strstr(nametitle,pattern4)) { | |
1214 | return 4; | |
1215 | } | |
1216 | if (strstr(nametitle,pattern5)) { | |
1217 | return 5; | |
1218 | } | |
1219 | if (strstr(nametitle,pattern6)){ | |
1220 | return 6; | |
1221 | } | |
1222 | else return -1; | |
1223 | ||
55a288e5 | 1224 | |
3a0f6479 | 1225 | } |
55a288e5 | 1226 | //_____________________________________________________________________________ |
3a0f6479 | 1227 | Bool_t AliTRDCalibraFit::SetModeCalibration(const char *name, Int_t i) |
55a288e5 | 1228 | { |
1229 | // | |
1230 | // Set fNz[i] and fNrphi[i] of the AliTRDCalibraFit::Instance() | |
3a0f6479 | 1231 | // corresponding to the given name |
55a288e5 | 1232 | // |
1233 | ||
3a0f6479 | 1234 | if(!SetNzFromTObject(name,i)) return kFALSE; |
1235 | if(!SetNrphiFromTObject(name,i)) return kFALSE; | |
1236 | ||
1237 | return kTRUE; | |
55a288e5 | 1238 | |
3a0f6479 | 1239 | } |
1240 | //_____________________________________________________________________________ | |
1241 | Bool_t AliTRDCalibraFit::SetNrphiFromTObject(const char *name, Int_t i) | |
1242 | { | |
1243 | // | |
1244 | // Set fNrphi[i] of the AliTRDCalibraFit::Instance() | |
1245 | // corresponding to the given TObject | |
1246 | // | |
1247 | ||
55a288e5 | 1248 | // Some patterns |
55a288e5 | 1249 | const Char_t *patternrphi0 = "Nrphi0"; |
1250 | const Char_t *patternrphi1 = "Nrphi1"; | |
1251 | const Char_t *patternrphi2 = "Nrphi2"; | |
1252 | const Char_t *patternrphi3 = "Nrphi3"; | |
1253 | const Char_t *patternrphi4 = "Nrphi4"; | |
1254 | const Char_t *patternrphi5 = "Nrphi5"; | |
1255 | const Char_t *patternrphi6 = "Nrphi6"; | |
1256 | ||
64942b85 | 1257 | |
1258 | const Char_t *patternrphi10 = "Nrphi10"; | |
1259 | const Char_t *patternrphi100 = "Nrphi100"; | |
1260 | const Char_t *patternz10 = "Nz10"; | |
1261 | const Char_t *patternz100 = "Nz100"; | |
1262 | ||
55a288e5 | 1263 | // Nrphi mode |
64942b85 | 1264 | if ((strstr(name,patternrphi100)) && (strstr(name,patternz100))) { |
1265 | fCalibraMode->SetAllTogether(i); | |
1266 | fNbDet = 540; | |
1267 | if (fDebugLevel > 1) { | |
1268 | AliInfo(Form("fNbDet %d and 100",fNbDet)); | |
1269 | } | |
1270 | return kTRUE; | |
1271 | } | |
1272 | if ((strstr(name,patternrphi10)) && (strstr(name,patternz10))) { | |
1273 | fCalibraMode->SetPerSuperModule(i); | |
1274 | fNbDet = 30; | |
1275 | if (fDebugLevel > 1) { | |
1276 | AliInfo(Form("fNDet %d and 100",fNbDet)); | |
1277 | } | |
1278 | return kTRUE; | |
1279 | } | |
1280 | ||
3a0f6479 | 1281 | if (strstr(name,patternrphi0)) { |
55a288e5 | 1282 | fCalibraMode->SetNrphi(i ,0); |
64942b85 | 1283 | if (fDebugLevel > 1) { |
1284 | AliInfo(Form("fNbDet %d and 0",fNbDet)); | |
1285 | } | |
3a0f6479 | 1286 | return kTRUE; |
55a288e5 | 1287 | } |
3a0f6479 | 1288 | if (strstr(name,patternrphi1)) { |
55a288e5 | 1289 | fCalibraMode->SetNrphi(i, 1); |
64942b85 | 1290 | if (fDebugLevel > 1) { |
1291 | AliInfo(Form("fNbDet %d and 1",fNbDet)); | |
1292 | } | |
3a0f6479 | 1293 | return kTRUE; |
55a288e5 | 1294 | } |
3a0f6479 | 1295 | if (strstr(name,patternrphi2)) { |
55a288e5 | 1296 | fCalibraMode->SetNrphi(i, 2); |
64942b85 | 1297 | if (fDebugLevel > 1) { |
1298 | AliInfo(Form("fNbDet %d and 2",fNbDet)); | |
1299 | } | |
3a0f6479 | 1300 | return kTRUE; |
55a288e5 | 1301 | } |
3a0f6479 | 1302 | if (strstr(name,patternrphi3)) { |
55a288e5 | 1303 | fCalibraMode->SetNrphi(i, 3); |
64942b85 | 1304 | if (fDebugLevel > 1) { |
1305 | AliInfo(Form("fNbDet %d and 3",fNbDet)); | |
1306 | } | |
3a0f6479 | 1307 | return kTRUE; |
55a288e5 | 1308 | } |
3a0f6479 | 1309 | if (strstr(name,patternrphi4)) { |
55a288e5 | 1310 | fCalibraMode->SetNrphi(i, 4); |
64942b85 | 1311 | if (fDebugLevel > 1) { |
1312 | AliInfo(Form("fNbDet %d and 4",fNbDet)); | |
1313 | } | |
3a0f6479 | 1314 | return kTRUE; |
55a288e5 | 1315 | } |
3a0f6479 | 1316 | if (strstr(name,patternrphi5)) { |
55a288e5 | 1317 | fCalibraMode->SetNrphi(i, 5); |
64942b85 | 1318 | if (fDebugLevel > 1) { |
1319 | AliInfo(Form("fNbDet %d and 5",fNbDet)); | |
1320 | } | |
3a0f6479 | 1321 | return kTRUE; |
55a288e5 | 1322 | } |
3a0f6479 | 1323 | if (strstr(name,patternrphi6)) { |
55a288e5 | 1324 | fCalibraMode->SetNrphi(i, 6); |
64942b85 | 1325 | if (fDebugLevel > 1) { |
1326 | AliInfo(Form("fNbDet %d and 6",fNbDet)); | |
1327 | } | |
55a288e5 | 1328 | return kTRUE; |
1329 | } | |
55a288e5 | 1330 | |
64942b85 | 1331 | if (fDebugLevel > 1) { |
1332 | AliInfo(Form("fNbDet %d and rest",fNbDet)); | |
1333 | } | |
3a0f6479 | 1334 | fCalibraMode->SetNrphi(i ,0); |
1335 | return kFALSE; | |
64942b85 | 1336 | |
55a288e5 | 1337 | } |
55a288e5 | 1338 | //_____________________________________________________________________________ |
3a0f6479 | 1339 | Bool_t AliTRDCalibraFit::SetNzFromTObject(const char *name, Int_t i) |
55a288e5 | 1340 | { |
1341 | // | |
3a0f6479 | 1342 | // Set fNz[i] of the AliTRDCalibraFit::Instance() |
1343 | // corresponding to the given TObject | |
55a288e5 | 1344 | // |
3a0f6479 | 1345 | |
1346 | // Some patterns | |
1347 | const Char_t *patternz0 = "Nz0"; | |
1348 | const Char_t *patternz1 = "Nz1"; | |
1349 | const Char_t *patternz2 = "Nz2"; | |
1350 | const Char_t *patternz3 = "Nz3"; | |
1351 | const Char_t *patternz4 = "Nz4"; | |
64942b85 | 1352 | |
1353 | const Char_t *patternrphi10 = "Nrphi10"; | |
1354 | const Char_t *patternrphi100 = "Nrphi100"; | |
1355 | const Char_t *patternz10 = "Nz10"; | |
1356 | const Char_t *patternz100 = "Nz100"; | |
1357 | ||
1358 | if ((strstr(name,patternrphi100)) && (strstr(name,patternz100))) { | |
1359 | fCalibraMode->SetAllTogether(i); | |
1360 | fNbDet = 540; | |
1361 | if (fDebugLevel > 1) { | |
1362 | AliInfo(Form("fNbDet %d and 100",fNbDet)); | |
1363 | } | |
1364 | return kTRUE; | |
1365 | } | |
1366 | if ((strstr(name,patternrphi10)) && (strstr(name,patternz10))) { | |
1367 | fCalibraMode->SetPerSuperModule(i); | |
1368 | fNbDet = 30; | |
1369 | if (fDebugLevel > 1) { | |
1370 | AliInfo(Form("fNbDet %d and 10",fNbDet)); | |
1371 | } | |
1372 | return kTRUE; | |
1373 | } | |
3a0f6479 | 1374 | if (strstr(name,patternz0)) { |
1375 | fCalibraMode->SetNz(i, 0); | |
64942b85 | 1376 | if (fDebugLevel > 1) { |
1377 | AliInfo(Form("fNbDet %d and 0",fNbDet)); | |
1378 | } | |
3a0f6479 | 1379 | return kTRUE; |
55a288e5 | 1380 | } |
3a0f6479 | 1381 | if (strstr(name,patternz1)) { |
1382 | fCalibraMode->SetNz(i ,1); | |
64942b85 | 1383 | if (fDebugLevel > 1) { |
1384 | AliInfo(Form("fNbDet %d and 1",fNbDet)); | |
1385 | } | |
3a0f6479 | 1386 | return kTRUE; |
55a288e5 | 1387 | } |
3a0f6479 | 1388 | if (strstr(name,patternz2)) { |
1389 | fCalibraMode->SetNz(i ,2); | |
64942b85 | 1390 | if (fDebugLevel > 1) { |
1391 | AliInfo(Form("fNbDet %d and 2",fNbDet)); | |
1392 | } | |
3a0f6479 | 1393 | return kTRUE; |
55a288e5 | 1394 | } |
3a0f6479 | 1395 | if (strstr(name,patternz3)) { |
1396 | fCalibraMode->SetNz(i ,3); | |
64942b85 | 1397 | if (fDebugLevel > 1) { |
1398 | AliInfo(Form("fNbDet %d and 3",fNbDet)); | |
1399 | } | |
3a0f6479 | 1400 | return kTRUE; |
55a288e5 | 1401 | } |
3a0f6479 | 1402 | if (strstr(name,patternz4)) { |
1403 | fCalibraMode->SetNz(i ,4); | |
64942b85 | 1404 | if (fDebugLevel > 1) { |
1405 | AliInfo(Form("fNbDet %d and 4",fNbDet)); | |
1406 | } | |
3a0f6479 | 1407 | return kTRUE; |
55a288e5 | 1408 | } |
64942b85 | 1409 | |
1410 | if (fDebugLevel > 1) { | |
1411 | AliInfo(Form("fNbDet %d and rest",fNbDet)); | |
1412 | } | |
3a0f6479 | 1413 | fCalibraMode->SetNz(i ,0); |
1414 | return kFALSE; | |
1415 | } | |
64942b85 | 1416 | //______________________________________________________________________ |
1417 | void AliTRDCalibraFit::PutMeanValueOtherVectorFit(Int_t ofwhat, Bool_t perdetector){ | |
1418 | // | |
1419 | // ofwhat is equaled to 0: mean value of all passing detectors | |
1420 | // ofwhat is equaled to 1: mean value of the detector, otherwise supermodule, otherwise all | |
1421 | // | |
1422 | ||
1423 | Int_t loop = (Int_t) fVectorFit.GetEntriesFast(); | |
1424 | if(loop != 540) { | |
1425 | AliInfo("The Vector Fit is not complete!"); | |
1426 | return; | |
1427 | } | |
1428 | Int_t detector = -1; | |
1429 | Int_t sector = -1; | |
1430 | Float_t value = 0.0; | |
1431 | ||
1432 | ///////////////////////////////// | |
1433 | // Calculate the mean values | |
1434 | //////////////////////////////// | |
1435 | // Initialisation | |
1436 | //////////////////////// | |
1437 | Double_t meanAll = 0.0; | |
1438 | Double_t meanSupermodule[18]; | |
1439 | Double_t meanDetector[540]; | |
1440 | Int_t countAll = 0; | |
1441 | Int_t countSupermodule[18]; | |
1442 | Int_t countDetector[540]; | |
1443 | for(Int_t sm = 0; sm < 18; sm++){ | |
1444 | meanSupermodule[sm] = 0.0; | |
1445 | countSupermodule[sm] = 0; | |
1446 | } | |
1447 | for(Int_t det = 0; det < 540; det++){ | |
1448 | meanDetector[det] = 0.0; | |
1449 | countDetector[det] = 0; | |
1450 | } | |
1451 | // compute | |
1452 | //////////// | |
1453 | for (Int_t k = 0; k < loop; k++) { | |
1454 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1455 | sector = GetSector(detector); | |
1456 | if(perdetector){ | |
1457 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[0]; | |
1458 | if(value > 0.0) { | |
1459 | meanDetector[detector] += value; | |
1460 | countDetector[detector]++; | |
1461 | meanSupermodule[sector] += value; | |
1462 | countSupermodule[sector]++; | |
1463 | meanAll += value; | |
1464 | countAll++; | |
1465 | } | |
1466 | } | |
1467 | else { | |
1468 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1469 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1470 | for (Int_t row = 0; row < rowMax; row++) { | |
1471 | for (Int_t col = 0; col < colMax; col++) { | |
1472 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1473 | if(value > 0.0) { | |
1474 | meanDetector[detector] += value; | |
1475 | countDetector[detector]++; | |
1476 | meanSupermodule[sector] += value; | |
1477 | countSupermodule[sector]++; | |
1478 | meanAll += value; | |
1479 | countAll++; | |
1480 | } | |
1481 | ||
1482 | } // Col | |
1483 | } // Row | |
1484 | } | |
1485 | } | |
1486 | if(countAll > 0) meanAll = meanAll/countAll; | |
1487 | for(Int_t sm = 0; sm < 18; sm++){ | |
1488 | if(countSupermodule[sm] > 0) meanSupermodule[sm] = meanSupermodule[sm]/countSupermodule[sm]; | |
1489 | } | |
1490 | for(Int_t det = 0; det < 540; det++){ | |
1491 | if(countDetector[det] > 0) meanDetector[det] = meanDetector[det]/countDetector[det]; | |
1492 | } | |
1493 | // Put the mean value for the no-fitted | |
1494 | ///////////////////////////////////////////// | |
1495 | for (Int_t k = 0; k < loop; k++) { | |
1496 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1497 | sector = GetSector(detector); | |
1498 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1499 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1500 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
1501 | ||
1502 | for (Int_t row = 0; row < rowMax; row++) { | |
1503 | for (Int_t col = 0; col < colMax; col++) { | |
1504 | value = coef[(Int_t)(col*rowMax+row)]; | |
1505 | if(value < 0.0) { | |
1506 | if((ofwhat == 0) && (meanAll > 0.0)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanAll); | |
1507 | if(ofwhat == 1){ | |
1508 | if(meanDetector[detector] > 0.0) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanDetector[detector]); | |
1509 | else if(meanSupermodule[sector] > 0.0) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanSupermodule[sector]); | |
1510 | else if(meanAll > 0.0) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanAll); | |
1511 | } | |
1512 | } | |
1513 | // Debug | |
1514 | if(fDebugLevel > 1){ | |
1515 | ||
1516 | if ( !fDebugStreamer ) { | |
1517 | //debug stream | |
1518 | TDirectory *backup = gDirectory; | |
1519 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
1520 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
1521 | } | |
1522 | ||
1523 | Float_t coefnow = coef[(Int_t)(col*rowMax+row)]; | |
1524 | ||
1525 | (* fDebugStreamer) << "PutMeanValueOtherVectorFit"<< | |
1526 | "detector="<<detector<< | |
1527 | "sector="<<sector<< | |
1528 | "row="<<row<< | |
1529 | "col="<<col<< | |
1530 | "before="<<value<< | |
1531 | "after="<<coefnow<< | |
1532 | "\n"; | |
1533 | } | |
1534 | } // Col | |
1535 | } // Row | |
1536 | } | |
1537 | ||
1538 | } | |
1539 | //______________________________________________________________________ | |
1540 | void AliTRDCalibraFit::PutMeanValueOtherVectorFit2(Int_t ofwhat, Bool_t perdetector){ | |
1541 | // | |
1542 | // ofwhat is equaled to 0: mean value of all passing detectors | |
1543 | // ofwhat is equaled to 1: mean value of the detector, otherwise supermodule, otherwise all | |
1544 | // | |
1545 | ||
1546 | Int_t loop = (Int_t) fVectorFit2.GetEntriesFast(); | |
1547 | if(loop != 540) { | |
1548 | AliInfo("The Vector Fit is not complete!"); | |
1549 | return; | |
1550 | } | |
1551 | Int_t detector = -1; | |
1552 | Int_t sector = -1; | |
1553 | Float_t value = 0.0; | |
1554 | ||
1555 | ///////////////////////////////// | |
1556 | // Calculate the mean values | |
1557 | //////////////////////////////// | |
1558 | // Initialisation | |
1559 | //////////////////////// | |
1560 | Double_t meanAll = 0.0; | |
1561 | Double_t meanSupermodule[18]; | |
1562 | Double_t meanDetector[540]; | |
1563 | Int_t countAll = 0; | |
1564 | Int_t countSupermodule[18]; | |
1565 | Int_t countDetector[540]; | |
1566 | for(Int_t sm = 0; sm < 18; sm++){ | |
1567 | meanSupermodule[sm] = 0.0; | |
1568 | countSupermodule[sm] = 0; | |
1569 | } | |
1570 | for(Int_t det = 0; det < 540; det++){ | |
1571 | meanDetector[det] = 0.0; | |
1572 | countDetector[det] = 0; | |
1573 | } | |
1574 | // compute | |
1575 | //////////// | |
1576 | for (Int_t k = 0; k < loop; k++) { | |
1577 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1578 | sector = GetSector(detector); | |
1579 | if(perdetector){ | |
1580 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[0]; | |
1581 | if(value < 70.0) { | |
1582 | meanDetector[detector] += value; | |
1583 | countDetector[detector]++; | |
1584 | meanSupermodule[sector] += value; | |
1585 | countSupermodule[sector]++; | |
1586 | meanAll += value; | |
1587 | countAll++; | |
1588 | } | |
1589 | } | |
1590 | else { | |
1591 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1592 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1593 | for (Int_t row = 0; row < rowMax; row++) { | |
1594 | for (Int_t col = 0; col < colMax; col++) { | |
1595 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1596 | if(value < 70.0) { | |
1597 | meanDetector[detector] += value; | |
1598 | countDetector[detector]++; | |
1599 | meanSupermodule[sector] += value; | |
1600 | countSupermodule[sector]++; | |
1601 | meanAll += value; | |
1602 | countAll++; | |
1603 | } | |
1604 | ||
1605 | } // Col | |
1606 | } // Row | |
1607 | } | |
1608 | } | |
1609 | if(countAll > 0) meanAll = meanAll/countAll; | |
1610 | for(Int_t sm = 0; sm < 18; sm++){ | |
1611 | if(countSupermodule[sm] > 0) meanSupermodule[sm] = meanSupermodule[sm]/countSupermodule[sm]; | |
1612 | } | |
1613 | for(Int_t det = 0; det < 540; det++){ | |
1614 | if(countDetector[det] > 0) meanDetector[det] = meanDetector[det]/countDetector[det]; | |
1615 | } | |
1616 | // Put the mean value for the no-fitted | |
1617 | ///////////////////////////////////////////// | |
1618 | for (Int_t k = 0; k < loop; k++) { | |
1619 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1620 | sector = GetSector(detector); | |
1621 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1622 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1623 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef(); | |
1624 | ||
1625 | for (Int_t row = 0; row < rowMax; row++) { | |
1626 | for (Int_t col = 0; col < colMax; col++) { | |
1627 | value = coef[(Int_t)(col*rowMax+row)]; | |
1628 | if(value > 70.0) { | |
1629 | if((ofwhat == 0) && (meanAll > 0.0)) coef[(Int_t)(col*rowMax+row)] = meanAll+100.0; | |
1630 | if(ofwhat == 1){ | |
1631 | if(meanDetector[detector] > 0.0) coef[(Int_t)(col*rowMax+row)] = meanDetector[detector]+100.0; | |
1632 | else if(meanSupermodule[sector] > 0.0) coef[(Int_t)(col*rowMax+row)] = meanSupermodule[sector]+100.0; | |
1633 | else if(meanAll > 0.0) coef[(Int_t)(col*rowMax+row)] = meanAll+100.0; | |
1634 | } | |
1635 | } | |
1636 | // Debug | |
1637 | if(fDebugLevel > 1){ | |
1638 | ||
1639 | if ( !fDebugStreamer ) { | |
1640 | //debug stream | |
1641 | TDirectory *backup = gDirectory; | |
1642 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
1643 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
1644 | } | |
1645 | ||
1646 | Float_t coefnow = coef[(Int_t)(col*rowMax+row)]; | |
1647 | ||
1648 | (* fDebugStreamer) << "PutMeanValueOtherVectorFit2"<< | |
1649 | "detector="<<detector<< | |
1650 | "sector="<<sector<< | |
1651 | "row="<<row<< | |
1652 | "col="<<col<< | |
1653 | "before="<<value<< | |
1654 | "after="<<coefnow<< | |
1655 | "\n"; | |
1656 | } | |
1657 | } // Col | |
1658 | } // Row | |
1659 | } | |
1660 | ||
1661 | } | |
3a0f6479 | 1662 | //_____________________________________________________________________________ |
979b168f | 1663 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectVdrift(const TObjArray *vectorFit, Bool_t perdetector) |
3a0f6479 | 1664 | { |
1665 | // | |
1666 | // It creates the AliTRDCalDet object from the AliTRDFitInfo | |
1667 | // It takes the mean value of the coefficients per detector | |
1668 | // This object has to be written in the database | |
1669 | // | |
55a288e5 | 1670 | |
3a0f6479 | 1671 | // Create the DetObject |
1672 | AliTRDCalDet *object = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
1673 | ||
1674 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1675 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1676 | Int_t detector = -1; | |
1677 | Float_t value = 0.0; | |
64942b85 | 1678 | |
1679 | // | |
3a0f6479 | 1680 | for (Int_t k = 0; k < loop; k++) { |
1681 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1682 | Float_t mean = 0.0; | |
1683 | if(perdetector){ | |
1684 | mean = TMath::Abs(((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]); | |
55a288e5 | 1685 | } |
1686 | else { | |
3a0f6479 | 1687 | Int_t count = 0; |
053767a4 | 1688 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
1689 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 1690 | for (Int_t row = 0; row < rowMax; row++) { |
1691 | for (Int_t col = 0; col < colMax; col++) { | |
1692 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1693 | mean += TMath::Abs(value); | |
1694 | count++; | |
1695 | } // Col | |
1696 | } // Row | |
1697 | if(count > 0) mean = mean/count; | |
55a288e5 | 1698 | } |
1699 | object->SetValue(detector,mean); | |
1700 | } | |
3a0f6479 | 1701 | |
55a288e5 | 1702 | return object; |
55a288e5 | 1703 | } |
55a288e5 | 1704 | //_____________________________________________________________________________ |
979b168f | 1705 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectGain(const TObjArray *vectorFit, Bool_t meanOtherBefore, Double_t scaleFitFactor, Bool_t perdetector) |
55a288e5 | 1706 | { |
1707 | // | |
3a0f6479 | 1708 | // It creates the AliTRDCalDet object from the AliTRDFitInfo |
1709 | // It takes the mean value of the coefficients per detector | |
55a288e5 | 1710 | // This object has to be written in the database |
1711 | // | |
1712 | ||
1713 | // Create the DetObject | |
3a0f6479 | 1714 | AliTRDCalDet *object = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); |
55a288e5 | 1715 | |
3a0f6479 | 1716 | |
1717 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1718 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1719 | Int_t detector = -1; | |
1720 | Float_t value = 0.0; | |
1721 | ||
1722 | for (Int_t k = 0; k < loop; k++) { | |
1723 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1724 | Float_t mean = 0.0; | |
1725 | if(perdetector){ | |
1726 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
64942b85 | 1727 | if(!meanOtherBefore){ |
1728 | if(value > 0) value = value*scaleFitFactor; | |
1729 | } | |
1730 | else value = value*scaleFitFactor; | |
3a0f6479 | 1731 | mean = TMath::Abs(value); |
1732 | } | |
1733 | else{ | |
1734 | Int_t count = 0; | |
053767a4 | 1735 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
1736 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 1737 | for (Int_t row = 0; row < rowMax; row++) { |
1738 | for (Int_t col = 0; col < colMax; col++) { | |
1739 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 1740 | if(!meanOtherBefore) { |
1741 | if(value > 0) value = value*scaleFitFactor; | |
1742 | } | |
1743 | else value = value*scaleFitFactor; | |
3a0f6479 | 1744 | mean += TMath::Abs(value); |
1745 | count++; | |
1746 | } // Col | |
1747 | } // Row | |
1748 | if(count > 0) mean = mean/count; | |
1749 | } | |
1750 | object->SetValue(detector,mean); | |
55a288e5 | 1751 | } |
3a0f6479 | 1752 | |
1753 | return object; | |
1754 | } | |
1755 | //_____________________________________________________________________________ | |
979b168f | 1756 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectT0(const TObjArray *vectorFit, Bool_t perdetector) |
3a0f6479 | 1757 | { |
1758 | // | |
1759 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 | |
1760 | // It takes the min value of the coefficients per detector | |
1761 | // This object has to be written in the database | |
1762 | // | |
55a288e5 | 1763 | |
3a0f6479 | 1764 | // Create the DetObject |
1765 | AliTRDCalDet *object = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
55a288e5 | 1766 | |
3a0f6479 | 1767 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); |
1768 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1769 | Int_t detector = -1; | |
1770 | Float_t value = 0.0; | |
1771 | ||
1772 | for (Int_t k = 0; k < loop; k++) { | |
1773 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1774 | Float_t min = 100.0; | |
1775 | if(perdetector){ | |
64942b85 | 1776 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; |
1777 | // check successful | |
1778 | if(value > 70.0) value = value-100.0; | |
1779 | // | |
1780 | min = value; | |
55a288e5 | 1781 | } |
3a0f6479 | 1782 | else{ |
053767a4 | 1783 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
1784 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 1785 | for (Int_t row = 0; row < rowMax; row++) { |
1786 | for (Int_t col = 0; col < colMax; col++) { | |
1787 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 1788 | // check successful |
1789 | if(value > 70.0) value = value-100.0; | |
1790 | // | |
3a0f6479 | 1791 | if(min > value) min = value; |
1792 | } // Col | |
1793 | } // Row | |
1794 | } | |
1795 | object->SetValue(detector,min); | |
55a288e5 | 1796 | } |
1797 | ||
1798 | return object; | |
1799 | ||
1800 | } | |
55a288e5 | 1801 | //_____________________________________________________________________________ |
979b168f | 1802 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectLorentzAngle(const TObjArray *vectorFit) |
55a288e5 | 1803 | { |
1804 | // | |
3a0f6479 | 1805 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 |
1806 | // It takes the min value of the coefficients per detector | |
55a288e5 | 1807 | // This object has to be written in the database |
1808 | // | |
1809 | ||
1810 | // Create the DetObject | |
3a0f6479 | 1811 | AliTRDCalDet *object = new AliTRDCalDet("tan(lorentzangle)","tan(lorentzangle) (detector value)"); |
1812 | ||
1813 | ||
1814 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1815 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1816 | Int_t detector = -1; | |
1817 | Float_t value = 0.0; | |
55a288e5 | 1818 | |
3a0f6479 | 1819 | for (Int_t k = 0; k < loop; k++) { |
1820 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1821 | /* | |
053767a4 | 1822 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
1823 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 1824 | Float_t min = 100.0; |
1825 | for (Int_t row = 0; row < rowMax; row++) { | |
1826 | for (Int_t col = 0; col < colMax; col++) { | |
1827 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1828 | mean += -TMath::Abs(value); | |
1829 | count++; | |
55a288e5 | 1830 | } // Col |
3a0f6479 | 1831 | } // Row |
1832 | if(count > 0) mean = mean/count; | |
1833 | */ | |
1834 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
1835 | object->SetValue(detector,-TMath::Abs(value)); | |
55a288e5 | 1836 | } |
1837 | ||
1838 | return object; | |
3a0f6479 | 1839 | |
55a288e5 | 1840 | } |
55a288e5 | 1841 | //_____________________________________________________________________________ |
979b168f | 1842 | TObject *AliTRDCalibraFit::CreatePadObjectGain(const TObjArray *vectorFit, Double_t scaleFitFactor, const AliTRDCalDet *detobject) |
3a0f6479 | 1843 | { |
55a288e5 | 1844 | // |
3a0f6479 | 1845 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
1846 | // You need first to create the object for the detectors, | |
1847 | // where the mean value is put. | |
1848 | // This object has to be written in the database | |
55a288e5 | 1849 | // |
3a0f6479 | 1850 | |
1851 | // Create the DetObject | |
1852 | AliTRDCalPad *object = new AliTRDCalPad("GainFactor","GainFactor (local variations)"); | |
1853 | ||
1854 | if(!vectorFit){ | |
1855 | for(Int_t k = 0; k < 540; k++){ | |
1856 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1857 | Int_t nchannels = calROC->GetNchannels(); | |
1858 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1859 | calROC->SetValue(ch,1.0); | |
1860 | } | |
1861 | } | |
55a288e5 | 1862 | } |
3a0f6479 | 1863 | else{ |
1864 | ||
1865 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1866 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1867 | Int_t detector = -1; | |
1868 | Float_t value = 0.0; | |
1869 | ||
1870 | for (Int_t k = 0; k < loop; k++) { | |
1871 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1872 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1873 | Float_t mean = detobject->GetValue(detector); | |
1874 | if(mean == 0) continue; | |
1875 | Int_t rowMax = calROC->GetNrows(); | |
1876 | Int_t colMax = calROC->GetNcols(); | |
1877 | for (Int_t row = 0; row < rowMax; row++) { | |
1878 | for (Int_t col = 0; col < colMax; col++) { | |
1879 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1880 | if(value > 0) value = value*scaleFitFactor; | |
1881 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
1882 | } // Col | |
1883 | } // Row | |
1884 | } | |
55a288e5 | 1885 | } |
1886 | ||
3a0f6479 | 1887 | return object; |
55a288e5 | 1888 | } |
55a288e5 | 1889 | //_____________________________________________________________________________ |
979b168f | 1890 | TObject *AliTRDCalibraFit::CreatePadObjectVdrift(const TObjArray *vectorFit, const AliTRDCalDet *detobject) |
3a0f6479 | 1891 | { |
55a288e5 | 1892 | // |
3a0f6479 | 1893 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
1894 | // You need first to create the object for the detectors, | |
1895 | // where the mean value is put. | |
1896 | // This object has to be written in the database | |
55a288e5 | 1897 | // |
1898 | ||
3a0f6479 | 1899 | // Create the DetObject |
1900 | AliTRDCalPad *object = new AliTRDCalPad("LocalVdrift","TRD drift velocities (local variations)"); | |
1901 | ||
1902 | if(!vectorFit){ | |
1903 | for(Int_t k = 0; k < 540; k++){ | |
1904 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1905 | Int_t nchannels = calROC->GetNchannels(); | |
1906 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1907 | calROC->SetValue(ch,1.0); | |
1908 | } | |
1909 | } | |
55a288e5 | 1910 | } |
1911 | else { | |
3a0f6479 | 1912 | |
1913 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1914 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1915 | Int_t detector = -1; | |
1916 | Float_t value = 0.0; | |
1917 | ||
1918 | for (Int_t k = 0; k < loop; k++) { | |
1919 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1920 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1921 | Float_t mean = detobject->GetValue(detector); | |
1922 | if(mean == 0) continue; | |
1923 | Int_t rowMax = calROC->GetNrows(); | |
1924 | Int_t colMax = calROC->GetNcols(); | |
1925 | for (Int_t row = 0; row < rowMax; row++) { | |
1926 | for (Int_t col = 0; col < colMax; col++) { | |
1927 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1928 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
1929 | } // Col | |
1930 | } // Row | |
1931 | } | |
55a288e5 | 1932 | } |
3a0f6479 | 1933 | return object; |
55a288e5 | 1934 | |
1935 | } | |
55a288e5 | 1936 | //_____________________________________________________________________________ |
979b168f | 1937 | TObject *AliTRDCalibraFit::CreatePadObjectT0(const TObjArray *vectorFit, const AliTRDCalDet *detobject) |
3a0f6479 | 1938 | { |
55a288e5 | 1939 | // |
3a0f6479 | 1940 | // It Creates the AliTRDCalPad object from AliTRDFitInfo2 |
1941 | // You need first to create the object for the detectors, | |
1942 | // where the mean value is put. | |
1943 | // This object has to be written in the database | |
55a288e5 | 1944 | // |
3a0f6479 | 1945 | |
1946 | // Create the DetObject | |
1947 | AliTRDCalPad *object = new AliTRDCalPad("LocalT0","T0 (local variations)"); | |
1948 | ||
1949 | if(!vectorFit){ | |
1950 | for(Int_t k = 0; k < 540; k++){ | |
1951 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1952 | Int_t nchannels = calROC->GetNchannels(); | |
1953 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1954 | calROC->SetValue(ch,0.0); | |
1955 | } | |
1956 | } | |
55a288e5 | 1957 | } |
1958 | else { | |
3a0f6479 | 1959 | |
1960 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1961 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1962 | Int_t detector = -1; | |
1963 | Float_t value = 0.0; | |
1964 | ||
1965 | for (Int_t k = 0; k < loop; k++) { | |
1966 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1967 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1968 | Float_t min = detobject->GetValue(detector); | |
1969 | Int_t rowMax = calROC->GetNrows(); | |
1970 | Int_t colMax = calROC->GetNcols(); | |
1971 | for (Int_t row = 0; row < rowMax; row++) { | |
1972 | for (Int_t col = 0; col < colMax; col++) { | |
1973 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 1974 | // check successful |
1975 | if(value > 70.0) value = value - 100.0; | |
1976 | // | |
3a0f6479 | 1977 | calROC->SetValue(col,row,value-min); |
1978 | } // Col | |
1979 | } // Row | |
1980 | } | |
55a288e5 | 1981 | } |
3a0f6479 | 1982 | return object; |
55a288e5 | 1983 | |
1984 | } | |
3a0f6479 | 1985 | //_____________________________________________________________________________ |
979b168f | 1986 | TObject *AliTRDCalibraFit::CreatePadObjectPRF(const TObjArray *vectorFit) |
3a0f6479 | 1987 | { |
1988 | // | |
1989 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
1990 | // This object has to be written in the database | |
1991 | // | |
1992 | ||
1993 | // Create the DetObject | |
1994 | AliTRDCalPad *object = new AliTRDCalPad("PRFWidth","PRFWidth"); | |
1995 | ||
1996 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1997 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1998 | Int_t detector = -1; | |
1999 | Float_t value = 0.0; | |
55a288e5 | 2000 | |
3a0f6479 | 2001 | for (Int_t k = 0; k < loop; k++) { |
2002 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2003 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2004 | Int_t rowMax = calROC->GetNrows(); | |
2005 | Int_t colMax = calROC->GetNcols(); | |
2006 | for (Int_t row = 0; row < rowMax; row++) { | |
2007 | for (Int_t col = 0; col < colMax; col++) { | |
2008 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2009 | calROC->SetValue(col,row,TMath::Abs(value)); | |
2010 | } // Col | |
2011 | } // Row | |
2012 | } | |
2013 | ||
2014 | return object; | |
2015 | ||
2016 | } | |
55a288e5 | 2017 | //_____________________________________________________________________________ |
979b168f | 2018 | AliTRDCalDet *AliTRDCalibraFit::MakeOutliersStatDet(const TObjArray *vectorFit, const char *name, Double_t &mean) |
3a0f6479 | 2019 | { |
2020 | // | |
2021 | // It Creates the AliTRDCalDet object from AliTRDFitInfo | |
2022 | // 0 successful fit 1 not successful fit | |
2023 | // mean is the mean value over the successful fit | |
2024 | // do not use it for t0: no meaning | |
2025 | // | |
2026 | ||
2027 | // Create the CalObject | |
2028 | AliTRDCalDet *object = new AliTRDCalDet(name,name); | |
2029 | mean = 0.0; | |
2030 | Int_t count = 0; | |
2031 | ||
2032 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2033 | if(loop != 540) { | |
2034 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
2035 | for(Int_t k = 0; k < 540; k++){ | |
2036 | object->SetValue(k,1.0); | |
2037 | } | |
2038 | } | |
2039 | Int_t detector = -1; | |
2040 | Float_t value = 0.0; | |
2041 | ||
2042 | for (Int_t k = 0; k < loop; k++) { | |
2043 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2044 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
2045 | if(value <= 0) object->SetValue(detector,1.0); | |
2046 | else { | |
2047 | object->SetValue(detector,0.0); | |
2048 | mean += value; | |
2049 | count++; | |
2050 | } | |
2051 | } | |
2052 | if(count > 0) mean /= count; | |
2053 | return object; | |
2054 | } | |
2055 | //_____________________________________________________________________________ | |
979b168f | 2056 | TObject *AliTRDCalibraFit::MakeOutliersStatPad(const TObjArray *vectorFit, const char *name, Double_t &mean) |
3a0f6479 | 2057 | { |
2058 | // | |
2059 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
2060 | // 0 not successful fit 1 successful fit | |
2061 | // mean mean value over the successful fit | |
2062 | // | |
2063 | ||
2064 | // Create the CalObject | |
2065 | AliTRDCalPad *object = new AliTRDCalPad(name,name); | |
2066 | mean = 0.0; | |
2067 | Int_t count = 0; | |
2068 | ||
2069 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2070 | if(loop != 540) { | |
2071 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
2072 | for(Int_t k = 0; k < 540; k++){ | |
2073 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2074 | Int_t nchannels = calROC->GetNchannels(); | |
2075 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2076 | calROC->SetValue(ch,1.0); | |
2077 | } | |
2078 | } | |
2079 | } | |
2080 | Int_t detector = -1; | |
2081 | Float_t value = 0.0; | |
2082 | ||
2083 | for (Int_t k = 0; k < loop; k++) { | |
2084 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2085 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2086 | Int_t nchannels = calROC->GetNchannels(); | |
2087 | for (Int_t ch = 0; ch < nchannels; ch++) { | |
2088 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[ch]; | |
2089 | if(value <= 0) calROC->SetValue(ch,1.0); | |
2090 | else { | |
2091 | calROC->SetValue(ch,0.0); | |
2092 | mean += value; | |
2093 | count++; | |
2094 | } | |
2095 | } // channels | |
2096 | } | |
2097 | if(count > 0) mean /= count; | |
2098 | return object; | |
2099 | } | |
2100 | //_____________________________________________________________________________ | |
2101 | void AliTRDCalibraFit::SetPeriodeFitPH(Int_t periodeFitPH) | |
55a288e5 | 2102 | { |
2103 | // | |
3a0f6479 | 2104 | // Set FitPH if 1 then each detector will be fitted |
55a288e5 | 2105 | // |
2106 | ||
3a0f6479 | 2107 | if (periodeFitPH > 0) { |
2108 | fFitPHPeriode = periodeFitPH; | |
55a288e5 | 2109 | } |
2110 | else { | |
3a0f6479 | 2111 | AliInfo("periodeFitPH must be higher than 0!"); |
55a288e5 | 2112 | } |
2113 | ||
2114 | } | |
55a288e5 | 2115 | //_____________________________________________________________________________ |
2116 | void AliTRDCalibraFit::SetBeginFitCharge(Float_t beginFitCharge) | |
2117 | { | |
2118 | // | |
2119 | // The fit of the deposited charge distribution begins at | |
2120 | // histo->Mean()/beginFitCharge | |
2121 | // You can here set beginFitCharge | |
2122 | // | |
2123 | ||
2124 | if (beginFitCharge > 0) { | |
2125 | fBeginFitCharge = beginFitCharge; | |
2126 | } | |
2127 | else { | |
2128 | AliInfo("beginFitCharge must be strict positif!"); | |
2129 | } | |
2130 | ||
2131 | } | |
2132 | ||
2133 | //_____________________________________________________________________________ | |
413153cb | 2134 | void AliTRDCalibraFit::SetT0Shift0(Float_t t0Shift) |
2135 | { | |
2136 | // | |
2137 | // The t0 calculated with the maximum positif slope is shift from t0Shift0 | |
2138 | // You can here set t0Shift0 | |
2139 | // | |
2140 | ||
2141 | if (t0Shift > 0) { | |
2142 | fT0Shift0 = t0Shift; | |
2143 | } | |
2144 | else { | |
2145 | AliInfo("t0Shift0 must be strict positif!"); | |
2146 | } | |
2147 | ||
2148 | } | |
2149 | ||
2150 | //_____________________________________________________________________________ | |
2151 | void AliTRDCalibraFit::SetT0Shift1(Float_t t0Shift) | |
55a288e5 | 2152 | { |
2153 | // | |
413153cb | 2154 | // The t0 calculated with the maximum of the amplification region is shift from t0Shift1 |
2155 | // You can here set t0Shift1 | |
55a288e5 | 2156 | // |
2157 | ||
2158 | if (t0Shift > 0) { | |
413153cb | 2159 | fT0Shift1 = t0Shift; |
55a288e5 | 2160 | } |
2161 | else { | |
2162 | AliInfo("t0Shift must be strict positif!"); | |
2163 | } | |
2164 | ||
2165 | } | |
2166 | ||
2167 | //_____________________________________________________________________________ | |
2168 | void AliTRDCalibraFit::SetRangeFitPRF(Float_t rangeFitPRF) | |
2169 | { | |
2170 | // | |
2171 | // The fit of the PRF is from -rangeFitPRF to rangeFitPRF | |
2172 | // You can here set rangeFitPRF | |
2173 | // | |
2174 | ||
2175 | if ((rangeFitPRF > 0) && | |
2176 | (rangeFitPRF <= 1.5)) { | |
2177 | fRangeFitPRF = rangeFitPRF; | |
2178 | } | |
2179 | else { | |
2180 | AliInfo("rangeFitPRF must be between 0 and 1.0"); | |
2181 | } | |
2182 | ||
2183 | } | |
2184 | ||
3a0f6479 | 2185 | //_____________________________________________________________________________ |
2186 | void AliTRDCalibraFit::SetMinEntries(Int_t minEntries) | |
2187 | { | |
2188 | // | |
2189 | // Minimum entries for fitting | |
2190 | // | |
2191 | ||
2192 | if (minEntries > 0) { | |
2193 | fMinEntries = minEntries; | |
2194 | } | |
2195 | else { | |
2196 | AliInfo("fMinEntries must be >= 0."); | |
2197 | } | |
2198 | ||
2199 | } | |
2200 | ||
55a288e5 | 2201 | //_____________________________________________________________________________ |
2202 | void AliTRDCalibraFit::SetRebin(Short_t rebin) | |
2203 | { | |
2204 | // | |
2205 | // Rebin with rebin time less bins the Ch histo | |
2206 | // You can set here rebin that should divide the number of bins of CH histo | |
2207 | // | |
2208 | ||
2209 | if (rebin > 0) { | |
2210 | fRebin = rebin; | |
2211 | AliInfo("You have to be sure that fRebin divides fNumberBinCharge used!"); | |
2212 | } | |
2213 | else { | |
2214 | AliInfo("You have to choose a positiv value!"); | |
2215 | } | |
2216 | ||
2217 | } | |
55a288e5 | 2218 | //_____________________________________________________________________________ |
3a0f6479 | 2219 | Bool_t AliTRDCalibraFit::FillVectorFit() |
55a288e5 | 2220 | { |
2221 | // | |
3a0f6479 | 2222 | // For the Fit functions fill the vector Fit |
55a288e5 | 2223 | // |
55a288e5 | 2224 | |
3a0f6479 | 2225 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 2226 | |
3a0f6479 | 2227 | Int_t ntotal = 1; |
053767a4 | 2228 | if (GetStack(fCountDet) == 2) { |
3a0f6479 | 2229 | ntotal = 1728; |
55a288e5 | 2230 | } |
3a0f6479 | 2231 | else { |
2232 | ntotal = 2304; | |
55a288e5 | 2233 | } |
3a0f6479 | 2234 | |
2235 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
2236 | Float_t *coef = new Float_t[ntotal]; | |
2237 | for (Int_t i = 0; i < ntotal; i++) { | |
2238 | coef[i] = fCurrentCoefDetector[i]; | |
55a288e5 | 2239 | } |
3a0f6479 | 2240 | |
2241 | Int_t detector = fCountDet; | |
2242 | // Set | |
2243 | fitInfo->SetCoef(coef); | |
2244 | fitInfo->SetDetector(detector); | |
2245 | fVectorFit.Add((TObject *) fitInfo); | |
2246 | ||
2247 | return kTRUE; | |
55a288e5 | 2248 | |
3a0f6479 | 2249 | } |
55a288e5 | 2250 | //_____________________________________________________________________________ |
3a0f6479 | 2251 | Bool_t AliTRDCalibraFit::FillVectorFit2() |
55a288e5 | 2252 | { |
2253 | // | |
3a0f6479 | 2254 | // For the Fit functions fill the vector Fit |
55a288e5 | 2255 | // |
55a288e5 | 2256 | |
3a0f6479 | 2257 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 2258 | |
3a0f6479 | 2259 | Int_t ntotal = 1; |
053767a4 | 2260 | if (GetStack(fCountDet) == 2) { |
3a0f6479 | 2261 | ntotal = 1728; |
55a288e5 | 2262 | } |
3a0f6479 | 2263 | else { |
2264 | ntotal = 2304; | |
55a288e5 | 2265 | } |
3a0f6479 | 2266 | |
2267 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
2268 | Float_t *coef = new Float_t[ntotal]; | |
2269 | for (Int_t i = 0; i < ntotal; i++) { | |
2270 | coef[i] = fCurrentCoefDetector2[i]; | |
55a288e5 | 2271 | } |
3a0f6479 | 2272 | |
2273 | Int_t detector = fCountDet; | |
2274 | // Set | |
2275 | fitInfo->SetCoef(coef); | |
2276 | fitInfo->SetDetector(detector); | |
2277 | fVectorFit2.Add((TObject *) fitInfo); | |
55a288e5 | 2278 | |
3a0f6479 | 2279 | return kTRUE; |
55a288e5 | 2280 | |
3a0f6479 | 2281 | } |
2282 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2283 | Bool_t AliTRDCalibraFit::InitFit(Int_t nbins, Int_t i) | |
55a288e5 | 2284 | { |
2285 | // | |
3a0f6479 | 2286 | // Init the number of expected bins and fDect1[i] fDect2[i] |
55a288e5 | 2287 | // |
2288 | ||
3a0f6479 | 2289 | gStyle->SetPalette(1); |
2290 | gStyle->SetOptStat(1111); | |
2291 | gStyle->SetPadBorderMode(0); | |
2292 | gStyle->SetCanvasColor(10); | |
2293 | gStyle->SetPadLeftMargin(0.13); | |
2294 | gStyle->SetPadRightMargin(0.01); | |
2295 | ||
2296 | // Mode groups of pads: the total number of bins! | |
2297 | CalculNumberOfBinsExpected(i); | |
2298 | ||
2299 | // Quick verification that we have the good pad calibration mode! | |
2300 | if (fNumberOfBinsExpected != nbins) { | |
64942b85 | 2301 | AliInfo(Form("It doesn't correspond to the mode of pad group calibration: expected %d and seen %d!",fNumberOfBinsExpected,nbins)); |
3a0f6479 | 2302 | return kFALSE; |
55a288e5 | 2303 | } |
3a0f6479 | 2304 | |
2305 | // Security for fDebug 3 and 4 | |
2306 | if ((fDebugLevel >= 3) && | |
2307 | ((fDet[0] > 5) || | |
2308 | (fDet[1] > 4) || | |
2309 | (fDet[2] > 17))) { | |
2310 | AliInfo("This detector doesn't exit!"); | |
2311 | return kFALSE; | |
55a288e5 | 2312 | } |
2313 | ||
3a0f6479 | 2314 | // Determine fDet1 and fDet2 and set the fNfragZ and fNfragRphi for debug 3 and 4 |
2315 | CalculDect1Dect2(i); | |
55a288e5 | 2316 | |
3a0f6479 | 2317 | |
2318 | return kTRUE; | |
55a288e5 | 2319 | } |
3a0f6479 | 2320 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2321 | Bool_t AliTRDCalibraFit::InitFitCH() | |
55a288e5 | 2322 | { |
2323 | // | |
3a0f6479 | 2324 | // Init the fVectorFitCH for normalisation |
2325 | // Init the histo for debugging | |
55a288e5 | 2326 | // |
2327 | ||
3a0f6479 | 2328 | gDirectory = gROOT; |
2329 | ||
2330 | fScaleFitFactor = 0.0; | |
2331 | fCurrentCoefDetector = new Float_t[2304]; | |
2332 | for (Int_t k = 0; k < 2304; k++) { | |
2333 | fCurrentCoefDetector[k] = 0.0; | |
2334 | } | |
2335 | fVectorFit.SetName("gainfactorscoefficients"); | |
55a288e5 | 2336 | |
3a0f6479 | 2337 | // fDebug == 0 nothing |
2338 | // fDebug == 1 and fFitVoir no histo | |
2339 | if (fDebugLevel == 1) { | |
2340 | if(!CheckFitVoir()) return kFALSE; | |
2341 | } | |
2342 | //Get the CalDet object | |
2343 | if(fAccCDB){ | |
2344 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2345 | if (!cal) { | |
2346 | AliInfo("Could not get calibDB"); | |
2347 | return kFALSE; | |
55a288e5 | 2348 | } |
3a0f6479 | 2349 | if(fCalDet) delete fCalDet; |
2350 | fCalDet = new AliTRDCalDet(*(cal->GetGainFactorDet())); | |
55a288e5 | 2351 | } |
3a0f6479 | 2352 | else{ |
2353 | Float_t devalue = 1.0; | |
2354 | if(fCalDet) delete fCalDet; | |
2355 | fCalDet = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); | |
2356 | for(Int_t k = 0; k < 540; k++){ | |
2357 | fCalDet->SetValue(k,devalue); | |
55a288e5 | 2358 | } |
2359 | } | |
3a0f6479 | 2360 | return kTRUE; |
2361 | ||
55a288e5 | 2362 | } |
3a0f6479 | 2363 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2364 | Bool_t AliTRDCalibraFit::InitFitPH() | |
55a288e5 | 2365 | { |
2366 | // | |
3a0f6479 | 2367 | // Init the arrays of results |
2368 | // Init the histos for debugging | |
55a288e5 | 2369 | // |
55a288e5 | 2370 | |
3a0f6479 | 2371 | gDirectory = gROOT; |
2372 | fVectorFit.SetName("driftvelocitycoefficients"); | |
2373 | fVectorFit2.SetName("t0coefficients"); | |
55a288e5 | 2374 | |
3a0f6479 | 2375 | fCurrentCoefDetector = new Float_t[2304]; |
2376 | for (Int_t k = 0; k < 2304; k++) { | |
2377 | fCurrentCoefDetector[k] = 0.0; | |
2378 | } | |
2379 | ||
2380 | fCurrentCoefDetector2 = new Float_t[2304]; | |
2381 | for (Int_t k = 0; k < 2304; k++) { | |
2382 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2383 | } |
2384 | ||
3a0f6479 | 2385 | //fDebug == 0 nothing |
2386 | // fDebug == 1 and fFitVoir no histo | |
2387 | if (fDebugLevel == 1) { | |
2388 | if(!CheckFitVoir()) return kFALSE; | |
2389 | } | |
2390 | //Get the CalDet object | |
2391 | if(fAccCDB){ | |
2392 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2393 | if (!cal) { | |
2394 | AliInfo("Could not get calibDB"); | |
2395 | return kFALSE; | |
2396 | } | |
2397 | if(fCalDet) delete fCalDet; | |
2398 | if(fCalDet2) delete fCalDet2; | |
2399 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2400 | fCalDet2 = new AliTRDCalDet(*(cal->GetT0Det())); | |
2401 | } | |
2402 | else{ | |
2403 | Float_t devalue = 1.5; | |
2404 | Float_t devalue2 = 0.0; | |
2405 | if(fCalDet) delete fCalDet; | |
2406 | if(fCalDet2) delete fCalDet2; | |
2407 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2408 | fCalDet2 = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
2409 | for(Int_t k = 0; k < 540; k++){ | |
2410 | fCalDet->SetValue(k,devalue); | |
2411 | fCalDet2->SetValue(k,devalue2); | |
2412 | } | |
2413 | } | |
2414 | return kTRUE; | |
55a288e5 | 2415 | } |
3a0f6479 | 2416 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2417 | Bool_t AliTRDCalibraFit::InitFitPRF() | |
55a288e5 | 2418 | { |
2419 | // | |
3a0f6479 | 2420 | // Init the calibration mode (Nz, Nrphi), the histograms for |
2421 | // debugging the fit methods if fDebug > 0, | |
2422 | // | |
2423 | ||
2424 | gDirectory = gROOT; | |
2425 | fVectorFit.SetName("prfwidthcoefficients"); | |
2426 | ||
2427 | fCurrentCoefDetector = new Float_t[2304]; | |
2428 | for (Int_t k = 0; k < 2304; k++) { | |
2429 | fCurrentCoefDetector[k] = 0.0; | |
55a288e5 | 2430 | } |
2431 | ||
3a0f6479 | 2432 | // fDebug == 0 nothing |
2433 | // fDebug == 1 and fFitVoir no histo | |
2434 | if (fDebugLevel == 1) { | |
2435 | if(!CheckFitVoir()) return kFALSE; | |
2436 | } | |
2437 | return kTRUE; | |
55a288e5 | 2438 | } |
3a0f6479 | 2439 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2440 | Bool_t AliTRDCalibraFit::InitFitLinearFitter() | |
55a288e5 | 2441 | { |
2442 | // | |
3a0f6479 | 2443 | // Init the fCalDet, fVectorFit fCurrentCoefDetector |
55a288e5 | 2444 | // |
3a0f6479 | 2445 | |
2446 | gDirectory = gROOT; | |
2447 | ||
2448 | fCurrentCoefDetector = new Float_t[2304]; | |
2449 | fCurrentCoefDetector2 = new Float_t[2304]; | |
2450 | for (Int_t k = 0; k < 2304; k++) { | |
2451 | fCurrentCoefDetector[k] = 0.0; | |
2452 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2453 | } |
2454 | ||
3a0f6479 | 2455 | //printf("test0\n"); |
2456 | ||
2457 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2458 | if (!cal) { | |
2459 | AliInfo("Could not get calibDB"); | |
2460 | return kFALSE; | |
55a288e5 | 2461 | } |
2462 | ||
3a0f6479 | 2463 | //Get the CalDet object |
2464 | if(fAccCDB){ | |
2465 | if(fCalDet) delete fCalDet; | |
2466 | if(fCalDet2) delete fCalDet2; | |
2467 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2468 | //printf("test1\n"); | |
2469 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2470 | //printf("test2\n"); | |
2471 | for(Int_t k = 0; k < 540; k++){ | |
a076fc2f | 2472 | fCalDet2->SetValue(k,AliTRDCommonParam::Instance()->GetOmegaTau(fCalDet->GetValue(k))); |
3a0f6479 | 2473 | } |
2474 | //printf("test3\n"); | |
2475 | } | |
2476 | else{ | |
2477 | Float_t devalue = 1.5; | |
a076fc2f | 2478 | Float_t devalue2 = AliTRDCommonParam::Instance()->GetOmegaTau(1.5); |
3a0f6479 | 2479 | if(fCalDet) delete fCalDet; |
2480 | if(fCalDet2) delete fCalDet2; | |
2481 | //printf("test1\n"); | |
2482 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2483 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2484 | //printf("test2\n"); | |
2485 | for(Int_t k = 0; k < 540; k++){ | |
2486 | fCalDet->SetValue(k,devalue); | |
2487 | fCalDet2->SetValue(k,devalue2); | |
2488 | } | |
2489 | //printf("test3\n"); | |
2490 | } | |
55a288e5 | 2491 | return kTRUE; |
55a288e5 | 2492 | } |
2493 | ||
2494 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3a0f6479 | 2495 | void AliTRDCalibraFit::InitfCountDetAndfCount(Int_t i) |
55a288e5 | 2496 | { |
2497 | // | |
3a0f6479 | 2498 | // Init the current detector where we are fCountDet and the |
2499 | // next fCount for the functions Fit... | |
55a288e5 | 2500 | // |
2501 | ||
3a0f6479 | 2502 | // Loop on the Xbins of ch!! |
2503 | fCountDet = -1; // Current detector | |
2504 | fCount = 0; // To find the next detector | |
2505 | ||
2506 | // If fDebug >= 3 | |
2507 | if (fDebugLevel >= 3) { | |
2508 | // Set countdet to the detector | |
2509 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2510 | // Set counter to write at the end of the detector | |
2511 | fCount = fDect2; | |
2512 | // Get the right calib objects | |
2513 | SetCalROC(i); | |
2514 | } | |
2515 | if(fDebugLevel == 1) { | |
2516 | fCountDet = 0; | |
2517 | fCalibraMode->CalculXBins(fCountDet,i); | |
2518 | while(fCalibraMode->GetXbins(i) <=fFitVoir){ | |
2519 | fCountDet++; | |
2520 | fCalibraMode->CalculXBins(fCountDet,i); | |
2521 | } | |
2522 | fCount = fCalibraMode->GetXbins(i); | |
2523 | fCountDet--; | |
2524 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
053767a4 | 2525 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); |
2526 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2527 | ,(Int_t) GetStack(fCountDet) | |
2528 | ,(Int_t) GetSector(fCountDet),i); | |
3a0f6479 | 2529 | } |
2530 | } | |
2531 | //_______________________________________________________________________________ | |
2532 | void AliTRDCalibraFit::CalculNumberOfBinsExpected(Int_t i) | |
2533 | { | |
2534 | // | |
2535 | // Calculate the number of bins expected (calibration groups) | |
2536 | // | |
2537 | ||
2538 | fNumberOfBinsExpected = 0; | |
64942b85 | 2539 | // All |
2540 | if((fCalibraMode->GetNz(i) == 100) && (fCalibraMode->GetNrphi(i) == 100)){ | |
2541 | fNumberOfBinsExpected = 1; | |
2542 | return; | |
2543 | } | |
2544 | // Per supermodule | |
2545 | if((fCalibraMode->GetNz(i) == 10) && (fCalibraMode->GetNrphi(i) == 10)){ | |
2546 | fNumberOfBinsExpected = 18; | |
2547 | return; | |
2548 | } | |
2549 | // More | |
55a288e5 | 2550 | fCalibraMode->ModePadCalibration(2,i); |
2551 | fCalibraMode->ModePadFragmentation(0,2,0,i); | |
2552 | fCalibraMode->SetDetChamb2(i); | |
3a0f6479 | 2553 | if (fDebugLevel > 1) { |
55a288e5 | 2554 | AliInfo(Form("For the chamber 2: %d",fCalibraMode->GetDetChamb2(i))); |
2555 | } | |
3a0f6479 | 2556 | fNumberOfBinsExpected += 6 * 18 * fCalibraMode->GetDetChamb2(i); |
55a288e5 | 2557 | fCalibraMode->ModePadCalibration(0,i); |
2558 | fCalibraMode->ModePadFragmentation(0,0,0,i); | |
2559 | fCalibraMode->SetDetChamb0(i); | |
3a0f6479 | 2560 | if (fDebugLevel > 1) { |
55a288e5 | 2561 | AliInfo(Form("For the other chamber 0: %d",fCalibraMode->GetDetChamb0(i))); |
2562 | } | |
3a0f6479 | 2563 | fNumberOfBinsExpected += 6 * 4 * 18 * fCalibraMode->GetDetChamb0(i); |
2564 | ||
2565 | } | |
2566 | //_______________________________________________________________________________ | |
2567 | void AliTRDCalibraFit::CalculDect1Dect2(Int_t i) | |
2568 | { | |
2569 | // | |
2570 | // Calculate the range of fits | |
2571 | // | |
55a288e5 | 2572 | |
3a0f6479 | 2573 | fDect1 = -1; |
2574 | fDect2 = -1; | |
2575 | if (fDebugLevel == 1) { | |
2576 | fDect1 = fFitVoir; | |
2577 | fDect2 = fDect1 +1; | |
55a288e5 | 2578 | } |
3a0f6479 | 2579 | if ((fDebugLevel == 2) || (fDebugLevel == 0)) { |
2580 | fDect1 = 0; | |
2581 | fDect2 = fNumberOfBinsExpected; | |
55a288e5 | 2582 | } |
3a0f6479 | 2583 | if (fDebugLevel >= 3) { |
2584 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2585 | fCalibraMode->CalculXBins(fCountDet,i); | |
2586 | fDect1 = fCalibraMode->GetXbins(i); | |
2587 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
053767a4 | 2588 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); |
2589 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2590 | ,(Int_t) GetStack(fCountDet) | |
2591 | ,(Int_t) GetSector(fCountDet),i); | |
3a0f6479 | 2592 | // Set for the next detector |
2593 | fDect2 = fDect1 + fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
55a288e5 | 2594 | } |
55a288e5 | 2595 | } |
3a0f6479 | 2596 | //_______________________________________________________________________________ |
2597 | Bool_t AliTRDCalibraFit::CheckFitVoir() | |
55a288e5 | 2598 | { |
2599 | // | |
3a0f6479 | 2600 | // Check if fFitVoir is in the range |
55a288e5 | 2601 | // |
2602 | ||
3a0f6479 | 2603 | if (fFitVoir < fNumberOfBinsExpected) { |
2604 | AliInfo(Form("We will see the fit of the object %d",fFitVoir)); | |
55a288e5 | 2605 | } |
3a0f6479 | 2606 | else { |
2607 | AliInfo("fFitVoir is out of range of the histo!"); | |
2608 | return kFALSE; | |
2609 | } | |
2610 | return kTRUE; | |
55a288e5 | 2611 | } |
55a288e5 | 2612 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2613 | void AliTRDCalibraFit::UpdatefCountDetAndfCount(Int_t idect, Int_t i) | |
2614 | { | |
2615 | // | |
2616 | // See if we are in a new detector and update the | |
2617 | // variables fNfragZ and fNfragRphi if yes | |
3a0f6479 | 2618 | // Will never happen for only one detector (3 and 4) |
2619 | // Doesn't matter for 2 | |
2620 | // | |
2621 | if (fCount == idect) { | |
64942b85 | 2622 | // On en est au detector (or first detector in the group) |
2623 | fCountDet += 1; | |
2624 | AliDebug(2,Form("We are at the detector %d\n",fCountDet)); | |
2625 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2626 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); | |
2627 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
053767a4 | 2628 | ,(Int_t) GetStack(fCountDet) |
2629 | ,(Int_t) GetSector(fCountDet),i); | |
64942b85 | 2630 | // Set for the next detector |
2631 | fCount += fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
2632 | // calib objects | |
2633 | SetCalROC(i); | |
2634 | } | |
55a288e5 | 2635 | } |
55a288e5 | 2636 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2637 | void AliTRDCalibraFit::ReconstructFitRowMinRowMax(Int_t idect, Int_t i) | |
2638 | { | |
2639 | // | |
2640 | // Reconstruct the min pad row, max pad row, min pad col and | |
2641 | // max pad col of the calibration group for the Fit functions | |
64942b85 | 2642 | // idect is the calibration group inside the detector |
55a288e5 | 2643 | // |
3a0f6479 | 2644 | if (fDebugLevel != 1) { |
2645 | fCalibraMode->ReconstructionRowPadGroup((Int_t) (idect-(fCount-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i)))),i); | |
55a288e5 | 2646 | } |
64942b85 | 2647 | AliDebug(2,Form("AliTRDCalibraFit::ReconstructFitRowMinRowMax: the local calibration group is %d",idect-(fCount-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i))))); |
2648 | AliDebug(2,Form("AliTRDCalibraFit::ReconstructFitRowMinRowMax: the number of group per detector is %d",fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i))); | |
55a288e5 | 2649 | } |
55a288e5 | 2650 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3a0f6479 | 2651 | Bool_t AliTRDCalibraFit::NotEnoughStatisticCH(Int_t idect) |
55a288e5 | 2652 | { |
2653 | // | |
2654 | // For the case where there are not enough entries in the histograms | |
3a0f6479 | 2655 | // of the calibration group, the value present in the choosen database |
2656 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2657 | // | |
2658 | ||
2659 | if (fDebugLevel == 1) { | |
2660 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 2661 | } |
64942b85 | 2662 | else if (fNbDet > 0){ |
2663 | Int_t firstdetector = fCountDet; | |
2664 | Int_t lastdetector = fCountDet+fNbDet; | |
2665 | AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted" | |
2666 | ,idect,firstdetector,lastdetector)); | |
2667 | // loop over detectors | |
2668 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
2669 | ||
2670 | //Set the calibration object again | |
2671 | fCountDet = det; | |
2672 | SetCalROC(0); | |
2673 | ||
2674 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2675 | // Put them at 1 | |
2676 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),0); | |
2677 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2678 | ,(Int_t) GetStack(fCountDet) | |
2679 | ,(Int_t) GetSector(fCountDet),0); | |
2680 | // Reconstruct row min row max | |
2681 | ReconstructFitRowMinRowMax(idect,0); | |
2682 | ||
2683 | // Calcul the coef from the database choosen for the detector | |
2684 | CalculChargeCoefMean(kFALSE); | |
2685 | ||
2686 | //stack 2, not stack 2 | |
2687 | Int_t factor = 0; | |
2688 | if(GetStack(fCountDet) == 2) factor = 12; | |
2689 | else factor = 16; | |
2690 | ||
2691 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
2692 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
2693 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
2694 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
2695 | } | |
2696 | } | |
2697 | ||
2698 | //Put default value negative | |
2699 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2700 | fCurrentCoefE = 0.0; | |
2701 | ||
2702 | // Fill the stuff | |
2703 | FillVectorFit(); | |
2704 | // Debug | |
2705 | if(fDebugLevel > 1){ | |
2706 | ||
2707 | if ( !fDebugStreamer ) { | |
2708 | //debug stream | |
2709 | TDirectory *backup = gDirectory; | |
2710 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); | |
2711 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2712 | } | |
2713 | ||
2714 | Int_t detector = fCountDet; | |
2715 | Int_t caligroup = idect; | |
2716 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
2717 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
2718 | Short_t colmin = fCalibraMode->GetColMin(0); | |
2719 | Short_t colmax = fCalibraMode->GetColMax(0); | |
2720 | Float_t gf = fCurrentCoef[0]; | |
2721 | Float_t gfs = fCurrentCoef[1]; | |
2722 | Float_t gfE = fCurrentCoefE; | |
2723 | ||
2724 | (*fDebugStreamer) << "FillFillCH" << | |
2725 | "detector=" << detector << | |
2726 | "caligroup=" << caligroup << | |
2727 | "rowmin=" << rowmin << | |
2728 | "rowmax=" << rowmax << | |
2729 | "colmin=" << colmin << | |
2730 | "colmax=" << colmax << | |
2731 | "gf=" << gf << | |
2732 | "gfs=" << gfs << | |
2733 | "gfE=" << gfE << | |
2734 | "\n"; | |
2735 | ||
2736 | } | |
2737 | // Reset | |
2738 | for (Int_t k = 0; k < 2304; k++) { | |
2739 | fCurrentCoefDetector[k] = 0.0; | |
2740 | } | |
2741 | ||
2742 | }// loop detector | |
2743 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
2744 | } | |
3a0f6479 | 2745 | else { |
55a288e5 | 2746 | |
3a0f6479 | 2747 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
2748 | ,idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0))),fCountDet)); | |
2749 | ||
2750 | // Calcul the coef from the database choosen | |
2751 | CalculChargeCoefMean(kFALSE); | |
55a288e5 | 2752 | |
053767a4 | 2753 | //stack 2, not stack 2 |
3a0f6479 | 2754 | Int_t factor = 0; |
053767a4 | 2755 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 2756 | else factor = 16; |
55a288e5 | 2757 | |
3a0f6479 | 2758 | // Fill the fCurrentCoefDetector with negative value to say: not fitted |
2759 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
2760 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
2761 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 2762 | } |
2763 | } | |
3a0f6479 | 2764 | |
2765 | //Put default value negative | |
2766 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2767 | fCurrentCoefE = 0.0; | |
2768 | ||
2769 | FillFillCH(idect); | |
2770 | } | |
2771 | ||
2772 | return kTRUE; | |
55a288e5 | 2773 | } |
2774 | ||
3a0f6479 | 2775 | |
2776 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
64942b85 | 2777 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPH(Int_t idect,Double_t nentries) |
55a288e5 | 2778 | { |
2779 | // | |
3a0f6479 | 2780 | // For the case where there are not enough entries in the histograms |
2781 | // of the calibration group, the value present in the choosen database | |
2782 | // will be put. A negativ sign enables to know that a fit was not possible. | |
55a288e5 | 2783 | // |
3a0f6479 | 2784 | if (fDebugLevel == 1) { |
2785 | AliInfo("The element has not enough statistic to be fitted"); | |
2786 | } | |
64942b85 | 2787 | else if (fNbDet > 0) { |
2788 | ||
2789 | Int_t firstdetector = fCountDet; | |
2790 | Int_t lastdetector = fCountDet+fNbDet; | |
2791 | AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted" | |
2792 | ,idect,firstdetector,lastdetector)); | |
2793 | // loop over detectors | |
2794 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
2795 | ||
2796 | //Set the calibration object again | |
2797 | fCountDet = det; | |
2798 | SetCalROC(1); | |
2799 | ||
2800 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2801 | // Put them at 1 | |
2802 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),1); | |
2803 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2804 | ,(Int_t) GetStack(fCountDet) | |
2805 | ,(Int_t) GetSector(fCountDet),1); | |
2806 | // Reconstruct row min row max | |
2807 | ReconstructFitRowMinRowMax(idect,1); | |
2808 | ||
2809 | // Calcul the coef from the database choosen for the detector | |
2810 | CalculVdriftCoefMean(); | |
2811 | CalculT0CoefMean(); | |
2812 | ||
2813 | //stack 2, not stack 2 | |
2814 | Int_t factor = 0; | |
2815 | if(GetStack(fCountDet) == 2) factor = 12; | |
2816 | else factor = 16; | |
2817 | ||
2818 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
2819 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
2820 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
2821 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
2822 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[1] + 100.0; | |
2823 | } | |
2824 | } | |
2825 | ||
2826 | //Put default value negative | |
2827 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2828 | fCurrentCoefE = 0.0; | |
2829 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
2830 | fCurrentCoefE2 = 0.0; | |
2831 | ||
2832 | // Fill the stuff | |
2833 | FillVectorFit(); | |
2834 | FillVectorFit2(); | |
2835 | // Debug | |
2836 | if(fDebugLevel > 1){ | |
2837 | ||
2838 | if ( !fDebugStreamer ) { | |
2839 | //debug stream | |
2840 | TDirectory *backup = gDirectory; | |
2841 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); | |
2842 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2843 | } | |
2844 | ||
2845 | ||
2846 | Int_t detector = fCountDet; | |
2847 | Int_t caligroup = idect; | |
2848 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
2849 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
2850 | Short_t colmin = fCalibraMode->GetColMin(1); | |
2851 | Short_t colmax = fCalibraMode->GetColMax(1); | |
2852 | Float_t vf = fCurrentCoef[0]; | |
2853 | Float_t vs = fCurrentCoef[1]; | |
2854 | Float_t vfE = fCurrentCoefE; | |
2855 | Float_t t0f = fCurrentCoef2[0]; | |
2856 | Float_t t0s = fCurrentCoef2[1]; | |
2857 | Float_t t0E = fCurrentCoefE2; | |
2858 | ||
2859 | ||
2860 | ||
2861 | (* fDebugStreamer) << "FillFillPH"<< | |
2862 | "detector="<<detector<< | |
2863 | "nentries="<<nentries<< | |
2864 | "caligroup="<<caligroup<< | |
2865 | "rowmin="<<rowmin<< | |
2866 | "rowmax="<<rowmax<< | |
2867 | "colmin="<<colmin<< | |
2868 | "colmax="<<colmax<< | |
2869 | "vf="<<vf<< | |
2870 | "vs="<<vs<< | |
2871 | "vfE="<<vfE<< | |
2872 | "t0f="<<t0f<< | |
2873 | "t0s="<<t0s<< | |
2874 | "t0E="<<t0E<< | |
2875 | "\n"; | |
2876 | } | |
2877 | // Reset | |
2878 | for (Int_t k = 0; k < 2304; k++) { | |
2879 | fCurrentCoefDetector[k] = 0.0; | |
2880 | fCurrentCoefDetector2[k] = 0.0; | |
2881 | } | |
2882 | ||
2883 | }// loop detector | |
2884 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
2885 | } | |
3a0f6479 | 2886 | else { |
55a288e5 | 2887 | |
3a0f6479 | 2888 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
2889 | ,idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1))),fCountDet)); | |
55a288e5 | 2890 | |
3a0f6479 | 2891 | CalculVdriftCoefMean(); |
2892 | CalculT0CoefMean(); | |
55a288e5 | 2893 | |
053767a4 | 2894 | //stack 2 and not stack 2 |
3a0f6479 | 2895 | Int_t factor = 0; |
053767a4 | 2896 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 2897 | else factor = 16; |
55a288e5 | 2898 | |
55a288e5 | 2899 | |
3a0f6479 | 2900 | // Fill the fCurrentCoefDetector 2 |
2901 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
2902 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
2903 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
64942b85 | 2904 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 2905 | } |
2906 | } | |
55a288e5 | 2907 | |
3a0f6479 | 2908 | // Put the default value |
2909 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2910 | fCurrentCoefE = 0.0; | |
64942b85 | 2911 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
3a0f6479 | 2912 | fCurrentCoefE2 = 0.0; |
2913 | ||
64942b85 | 2914 | FillFillPH(idect,nentries); |
3a0f6479 | 2915 | |
2916 | } | |
55a288e5 | 2917 | |
3a0f6479 | 2918 | return kTRUE; |
64942b85 | 2919 | |
3a0f6479 | 2920 | } |
2921 | ||
2922 | ||
2923 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2924 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPRF(Int_t idect) | |
2925 | { | |
2926 | // | |
2927 | // For the case where there are not enough entries in the histograms | |
2928 | // of the calibration group, the value present in the choosen database | |
2929 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2930 | // | |
55a288e5 | 2931 | |
3a0f6479 | 2932 | if (fDebugLevel == 1) { |
2933 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 2934 | } |
64942b85 | 2935 | else if (fNbDet > 0){ |
2936 | ||
2937 | Int_t firstdetector = fCountDet; | |
2938 | Int_t lastdetector = fCountDet+fNbDet; | |
2939 | AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted" | |
2940 | ,idect,firstdetector,lastdetector)); | |
2941 | ||
2942 | // loop over detectors | |
2943 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
2944 | ||
2945 | //Set the calibration object again | |
2946 | fCountDet = det; | |
2947 | SetCalROC(2); | |
2948 | ||
2949 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2950 | // Put them at 1 | |
2951 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),2); | |
2952 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2953 | ,(Int_t) GetStack(fCountDet) | |
2954 | ,(Int_t) GetSector(fCountDet),2); | |
2955 | // Reconstruct row min row max | |
2956 | ReconstructFitRowMinRowMax(idect,2); | |
2957 | ||
2958 | // Calcul the coef from the database choosen for the detector | |
2959 | CalculPRFCoefMean(); | |
2960 | ||
2961 | //stack 2, not stack 2 | |
2962 | Int_t factor = 0; | |
2963 | if(GetStack(fCountDet) == 2) factor = 12; | |
2964 | else factor = 16; | |
2965 | ||
2966 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
2967 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
2968 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
2969 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
2970 | } | |
2971 | } | |
2972 | ||
2973 | //Put default value negative | |
2974 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2975 | fCurrentCoefE = 0.0; | |
2976 | ||
2977 | // Fill the stuff | |
2978 | FillVectorFit(); | |
2979 | // Debug | |
2980 | if(fDebugLevel > 1){ | |
2981 | ||
2982 | if ( !fDebugStreamer ) { | |
2983 | //debug stream | |
2984 | TDirectory *backup = gDirectory; | |
2985 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); | |
2986 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2987 | } | |
2988 | ||
2989 | Int_t detector = fCountDet; | |
2990 | Int_t layer = GetLayer(fCountDet); | |
2991 | Int_t caligroup = idect; | |
2992 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
2993 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
2994 | Short_t colmin = fCalibraMode->GetColMin(2); | |
2995 | Short_t colmax = fCalibraMode->GetColMax(2); | |
2996 | Float_t widf = fCurrentCoef[0]; | |
2997 | Float_t wids = fCurrentCoef[1]; | |
2998 | Float_t widfE = fCurrentCoefE; | |
2999 | ||
3000 | (* fDebugStreamer) << "FillFillPRF"<< | |
3001 | "detector="<<detector<< | |
3002 | "layer="<<layer<< | |
3003 | "caligroup="<<caligroup<< | |
3004 | "rowmin="<<rowmin<< | |
3005 | "rowmax="<<rowmax<< | |
3006 | "colmin="<<colmin<< | |
3007 | "colmax="<<colmax<< | |
3008 | "widf="<<widf<< | |
3009 | "wids="<<wids<< | |
3010 | "widfE="<<widfE<< | |
3011 | "\n"; | |
3012 | } | |
3013 | // Reset | |
3014 | for (Int_t k = 0; k < 2304; k++) { | |
3015 | fCurrentCoefDetector[k] = 0.0; | |
3016 | } | |
3017 | ||
3018 | }// loop detector | |
3019 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
3020 | } | |
3a0f6479 | 3021 | else { |
3022 | ||
3023 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" | |
3024 | ,idect-(fCount-(fCalibraMode->GetNfragZ(2)*fCalibraMode->GetNfragRphi(2))),fCountDet)); | |
3025 | ||
3026 | CalculPRFCoefMean(); | |
3027 | ||
053767a4 | 3028 | // stack 2 and not stack 2 |
3a0f6479 | 3029 | Int_t factor = 0; |
053767a4 | 3030 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 3031 | else factor = 16; |
55a288e5 | 3032 | |
55a288e5 | 3033 | |
3a0f6479 | 3034 | // Fill the fCurrentCoefDetector |
3035 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3036 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
64942b85 | 3037 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); |
55a288e5 | 3038 | } |
3039 | } | |
55a288e5 | 3040 | |
3a0f6479 | 3041 | // Put the default value |
64942b85 | 3042 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3a0f6479 | 3043 | fCurrentCoefE = 0.0; |
3044 | ||
3045 | FillFillPRF(idect); | |
3046 | } | |
3047 | ||
3048 | return kTRUE; | |
55a288e5 | 3049 | |
3a0f6479 | 3050 | } |
3051 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3052 | Bool_t AliTRDCalibraFit::NotEnoughStatisticLinearFitter() | |
55a288e5 | 3053 | { |
3054 | // | |
3a0f6479 | 3055 | // For the case where there are not enough entries in the histograms |
3056 | // of the calibration group, the value present in the choosen database | |
3057 | // will be put. A negativ sign enables to know that a fit was not possible. | |
3058 | // | |
3059 | ||
3060 | // Calcul the coef from the database choosen | |
3061 | CalculVdriftLorentzCoef(); | |
3062 | ||
3063 | Int_t factor = 0; | |
053767a4 | 3064 | if(GetStack(fCountDet) == 2) factor = 1728; |
3a0f6479 | 3065 | else factor = 2304; |
3066 | ||
3067 | ||
3068 | // Fill the fCurrentCoefDetector | |
3069 | for (Int_t k = 0; k < factor; k++) { | |
3070 | fCurrentCoefDetector[k] = -TMath::Abs(fCurrentCoef[1]); | |
3071 | // should be negative | |
3072 | fCurrentCoefDetector2[k] = +TMath::Abs(fCurrentCoef2[1]); | |
55a288e5 | 3073 | } |
3a0f6479 | 3074 | |
3075 | ||
3076 | //Put default opposite sign | |
3077 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3078 | fCurrentCoefE = 0.0; | |
3079 | fCurrentCoef2[0] = +TMath::Abs(fCurrentCoef2[1]); | |
3080 | fCurrentCoefE2 = 0.0; | |
3081 | ||
3082 | FillFillLinearFitter(); | |
3083 | ||
3084 | return kTRUE; | |
55a288e5 | 3085 | } |
3086 | ||
3a0f6479 | 3087 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3088 | Bool_t AliTRDCalibraFit::FillInfosFitCH(Int_t idect) | |
55a288e5 | 3089 | { |
3090 | // | |
3a0f6479 | 3091 | // Fill the coefficients found with the fits or other |
3092 | // methods from the Fit functions | |
3093 | // | |
3094 | ||
3095 | if (fDebugLevel != 1) { | |
64942b85 | 3096 | if (fNbDet > 0){ |
3097 | Int_t firstdetector = fCountDet; | |
3098 | Int_t lastdetector = fCountDet+fNbDet; | |
3099 | AliInfo(Form("The element %d containing the detectors %d to %d has been fitted" | |
3100 | ,idect,firstdetector,lastdetector)); | |
3101 | // loop over detectors | |
3102 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3103 | ||
3104 | //Set the calibration object again | |
3105 | fCountDet = det; | |
3106 | SetCalROC(0); | |
3107 | ||
3108 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3109 | // Put them at 1 | |
3110 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),0); | |
3111 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3112 | ,(Int_t) GetStack(fCountDet) | |
3113 | ,(Int_t) GetSector(fCountDet),0); | |
3114 | // Reconstruct row min row max | |
3115 | ReconstructFitRowMinRowMax(idect,0); | |
3116 | ||
3117 | // Calcul the coef from the database choosen for the detector | |
3118 | if(fCurrentCoef[0] < 0.0) CalculChargeCoefMean(kFALSE); | |
3119 | else CalculChargeCoefMean(kTRUE); | |
3120 | ||
3121 | //stack 2, not stack 2 | |
3122 | Int_t factor = 0; | |
3123 | if(GetStack(fCountDet) == 2) factor = 12; | |
3124 | else factor = 16; | |
3125 | ||
3126 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3127 | Double_t coeftoput = 1.0; | |
3128 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3129 | else coeftoput = fCurrentCoef[0]; | |
3130 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3131 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3132 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3133 | } | |
3134 | } | |
3135 | ||
3136 | // Fill the stuff | |
3137 | FillVectorFit(); | |
3138 | // Debug | |
3139 | if(fDebugLevel > 1){ | |
3140 | ||
3141 | if ( !fDebugStreamer ) { | |
3142 | //debug stream | |
3143 | TDirectory *backup = gDirectory; | |
3144 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); | |
3145 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3146 | } | |
3147 | ||
3148 | Int_t detector = fCountDet; | |
3149 | Int_t caligroup = idect; | |
3150 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
3151 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
3152 | Short_t colmin = fCalibraMode->GetColMin(0); | |
3153 | Short_t colmax = fCalibraMode->GetColMax(0); | |
3154 | Float_t gf = fCurrentCoef[0]; | |
3155 | Float_t gfs = fCurrentCoef[1]; | |
3156 | Float_t gfE = fCurrentCoefE; | |
3157 | ||
3158 | (*fDebugStreamer) << "FillFillCH" << | |
3159 | "detector=" << detector << | |
3160 | "caligroup=" << caligroup << | |
3161 | "rowmin=" << rowmin << | |
3162 | "rowmax=" << rowmax << | |
3163 | "colmin=" << colmin << | |
3164 | "colmax=" << colmax << | |
3165 | "gf=" << gf << | |
3166 | "gfs=" << gfs << | |
3167 | "gfE=" << gfE << | |
3168 | "\n"; | |
3169 | ||
3170 | } | |
3171 | // Reset | |
3172 | for (Int_t k = 0; k < 2304; k++) { | |
3173 | fCurrentCoefDetector[k] = 0.0; | |
3174 | } | |
3175 | ||
3176 | }// loop detector | |
3177 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3178 | } | |
3179 | else{ | |
3180 | ||
3181 | Int_t factor = 0; | |
3182 | if(GetStack(fCountDet) == 2) factor = 12; | |
3183 | else factor = 16; | |
3184 | ||
3185 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3186 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3187 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3188 | } | |
3a0f6479 | 3189 | } |
64942b85 | 3190 | |
3191 | FillFillCH(idect); | |
55a288e5 | 3192 | } |
3193 | } | |
55a288e5 | 3194 | |
3a0f6479 | 3195 | return kTRUE; |
3196 | ||
3197 | } | |
3198 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
64942b85 | 3199 | Bool_t AliTRDCalibraFit::FillInfosFitPH(Int_t idect,Double_t nentries) |
55a288e5 | 3200 | { |
3201 | // | |
3a0f6479 | 3202 | // Fill the coefficients found with the fits or other |
3203 | // methods from the Fit functions | |
3204 | // | |
3205 | ||
3206 | if (fDebugLevel != 1) { | |
64942b85 | 3207 | if (fNbDet > 0){ |
3208 | ||
3209 | Int_t firstdetector = fCountDet; | |
3210 | Int_t lastdetector = fCountDet+fNbDet; | |
3211 | AliInfo(Form("The element %d containing the detectors %d to %d has been fitted" | |
3212 | ,idect,firstdetector,lastdetector)); | |
3213 | ||
3214 | // loop over detectors | |
3215 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3216 | ||
3217 | //Set the calibration object again | |
3218 | fCountDet = det; | |
3219 | SetCalROC(1); | |
3220 | ||
3221 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3222 | // Put them at 1 | |
3223 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),1); | |
3224 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3225 | ,(Int_t) GetStack(fCountDet) | |
3226 | ,(Int_t) GetSector(fCountDet),1); | |
3227 | // Reconstruct row min row max | |
3228 | ReconstructFitRowMinRowMax(idect,1); | |
3229 | ||
3230 | // Calcul the coef from the database choosen for the detector | |
3231 | CalculVdriftCoefMean(); | |
3232 | CalculT0CoefMean(); | |
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 | Double_t coeftoput = 1.5; | |
3241 | Double_t coeftoput2 = 0.0; | |
3242 | ||
3243 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3244 | else coeftoput = fCurrentCoef[0]; | |
3245 | ||
3246 | if(fCurrentCoef2[0] > 70.0) coeftoput2 = fCurrentCoef2[1] + 100.0; | |
3247 | else coeftoput2 = fCurrentCoef2[0]; | |
3248 | ||
3249 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3250 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3251 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3252 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = coeftoput2; | |
3253 | } | |
3254 | } | |
3255 | ||
3256 | // Fill the stuff | |
3257 | FillVectorFit(); | |
3258 | FillVectorFit2(); | |
3259 | // Debug | |
3260 | if(fDebugLevel > 1){ | |
3261 | ||
3262 | if ( !fDebugStreamer ) { | |
3263 | //debug stream | |
3264 | TDirectory *backup = gDirectory; | |
3265 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); | |
3266 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3267 | } | |
3268 | ||
3269 | ||
3270 | Int_t detector = fCountDet; | |
3271 | Int_t caligroup = idect; | |
3272 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
3273 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
3274 | Short_t colmin = fCalibraMode->GetColMin(1); | |
3275 | Short_t colmax = fCalibraMode->GetColMax(1); | |
3276 | Float_t vf = fCurrentCoef[0]; | |
3277 | Float_t vs = fCurrentCoef[1]; | |
3278 | Float_t vfE = fCurrentCoefE; | |
3279 | Float_t t0f = fCurrentCoef2[0]; | |
3280 | Float_t t0s = fCurrentCoef2[1]; | |
3281 | Float_t t0E = fCurrentCoefE2; | |
3282 | ||
3283 | ||
3284 | ||
3285 | (* fDebugStreamer) << "FillFillPH"<< | |
3286 | "detector="<<detector<< | |
3287 | "nentries="<<nentries<< | |
3288 | "caligroup="<<caligroup<< | |
3289 | "rowmin="<<rowmin<< | |
3290 | "rowmax="<<rowmax<< | |
3291 | "colmin="<<colmin<< | |
3292 | "colmax="<<colmax<< | |
3293 | "vf="<<vf<< | |
3294 | "vs="<<vs<< | |
3295 | "vfE="<<vfE<< | |
3296 | "t0f="<<t0f<< | |
3297 | "t0s="<<t0s<< | |
3298 | "t0E="<<t0E<< | |
3299 | "\n"; | |
3300 | } | |
3301 | // Reset | |
3302 | for (Int_t k = 0; k < 2304; k++) { | |
3303 | fCurrentCoefDetector[k] = 0.0; | |
3304 | fCurrentCoefDetector2[k] = 0.0; | |
3305 | } | |
3306 | ||
3307 | }// loop detector | |
3308 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3309 | } | |
3310 | else { | |
3311 | ||
3312 | Int_t factor = 0; | |
3313 | if(GetStack(fCountDet) == 2) factor = 12; | |
3314 | else factor = 16; | |
3315 | ||
3316 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3317 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3318 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3319 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[0]; | |
3320 | } | |
3321 | } | |
3322 | ||
3323 | FillFillPH(idect,nentries); | |
3324 | } | |
55a288e5 | 3325 | } |
3a0f6479 | 3326 | return kTRUE; |
55a288e5 | 3327 | } |
3a0f6479 | 3328 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3329 | Bool_t AliTRDCalibraFit::FillInfosFitPRF(Int_t idect) | |
55a288e5 | 3330 | { |
3331 | // | |
3a0f6479 | 3332 | // Fill the coefficients found with the fits or other |
3333 | // methods from the Fit functions | |
55a288e5 | 3334 | // |
3a0f6479 | 3335 | |
3336 | if (fDebugLevel != 1) { | |
64942b85 | 3337 | if (fNbDet > 0){ |
3a0f6479 | 3338 | |
64942b85 | 3339 | Int_t firstdetector = fCountDet; |
3340 | Int_t lastdetector = fCountDet+fNbDet; | |
3341 | AliInfo(Form("The element %d containing the detectors %d to %d has been fitted" | |
3342 | ,idect,firstdetector,lastdetector)); | |
3343 | ||
3344 | // loop over detectors | |
3345 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3346 | ||
3347 | //Set the calibration object again | |
3348 | fCountDet = det; | |
3349 | SetCalROC(2); | |
3350 | ||
3351 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3352 | // Put them at 1 | |
3353 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),2); | |
3354 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3355 | ,(Int_t) GetStack(fCountDet) | |
3356 | ,(Int_t) GetSector(fCountDet),2); | |
3357 | // Reconstruct row min row max | |
3358 | ReconstructFitRowMinRowMax(idect,2); | |
3359 | ||
3360 | // Calcul the coef from the database choosen for the detector | |
3361 | CalculPRFCoefMean(); | |
3362 | ||
3363 | //stack 2, not stack 2 | |
3364 | Int_t factor = 0; | |
3365 | if(GetStack(fCountDet) == 2) factor = 12; | |
3366 | else factor = 16; | |
3367 | ||
3368 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3369 | Double_t coeftoput = 1.0; | |
3370 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3371 | else coeftoput = fCurrentCoef[0]; | |
3372 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3373 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3374 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3375 | } | |
3376 | } | |
3377 | ||
3378 | // Fill the stuff | |
3379 | FillVectorFit(); | |
3380 | // Debug | |
3381 | if(fDebugLevel > 1){ | |
3382 | ||
3383 | if ( !fDebugStreamer ) { | |
3384 | //debug stream | |
3385 | TDirectory *backup = gDirectory; | |
3386 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); | |
3387 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3388 | } | |
3389 | ||
3390 | Int_t detector = fCountDet; | |
3391 | Int_t layer = GetLayer(fCountDet); | |
3392 | Int_t caligroup = idect; | |
3393 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
3394 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
3395 | Short_t colmin = fCalibraMode->GetColMin(2); | |
3396 | Short_t colmax = fCalibraMode->GetColMax(2); | |
3397 | Float_t widf = fCurrentCoef[0]; | |
3398 | Float_t wids = fCurrentCoef[1]; | |
3399 | Float_t widfE = fCurrentCoefE; | |
3400 | ||
3401 | (* fDebugStreamer) << "FillFillPRF"<< | |
3402 | "detector="<<detector<< | |
3403 | "layer="<<layer<< | |
3404 | "caligroup="<<caligroup<< | |
3405 | "rowmin="<<rowmin<< | |
3406 | "rowmax="<<rowmax<< | |
3407 | "colmin="<<colmin<< | |
3408 | "colmax="<<colmax<< | |
3409 | "widf="<<widf<< | |
3410 | "wids="<<wids<< | |
3411 | "widfE="<<widfE<< | |
3412 | "\n"; | |
3413 | } | |
3414 | // Reset | |
3415 | for (Int_t k = 0; k < 2304; k++) { | |
3416 | fCurrentCoefDetector[k] = 0.0; | |
3417 | } | |
3418 | ||
3419 | }// loop detector | |
3420 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3421 | } | |
3422 | else { | |
3423 | ||
3424 | Int_t factor = 0; | |
3425 | if(GetStack(fCountDet) == 2) factor = 12; | |
3426 | else factor = 16; | |
3427 | ||
3428 | // Pointer to the branch | |
3429 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3430 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3431 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3432 | } | |
3a0f6479 | 3433 | } |
64942b85 | 3434 | FillFillPRF(idect); |
55a288e5 | 3435 | } |
3436 | } | |
64942b85 | 3437 | |
3a0f6479 | 3438 | return kTRUE; |
55a288e5 | 3439 | |
3a0f6479 | 3440 | } |
3441 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3442 | Bool_t AliTRDCalibraFit::FillInfosFitLinearFitter() | |
55a288e5 | 3443 | { |
3444 | // | |
3a0f6479 | 3445 | // Fill the coefficients found with the fits or other |
3446 | // methods from the Fit functions | |
55a288e5 | 3447 | // |
3a0f6479 | 3448 | |
3449 | Int_t factor = 0; | |
053767a4 | 3450 | if(GetStack(fCountDet) == 2) factor = 1728; |
3a0f6479 | 3451 | else factor = 2304; |
3452 | ||
3453 | // Pointer to the branch | |
3454 | for (Int_t k = 0; k < factor; k++) { | |
3455 | fCurrentCoefDetector[k] = fCurrentCoef[0]; | |
3456 | fCurrentCoefDetector2[k] = fCurrentCoef2[0]; | |
55a288e5 | 3457 | } |
3a0f6479 | 3458 | |
3459 | FillFillLinearFitter(); | |
3460 | ||
3461 | return kTRUE; | |
55a288e5 | 3462 | |
3463 | } | |
3a0f6479 | 3464 | //________________________________________________________________________________ |
3465 | void AliTRDCalibraFit::FillFillCH(Int_t idect) | |
55a288e5 | 3466 | { |
3467 | // | |
3a0f6479 | 3468 | // DebugStream and fVectorFit |
55a288e5 | 3469 | // |
3470 | ||
3a0f6479 | 3471 | // End of one detector |
3472 | if ((idect == (fCount-1))) { | |
3473 | FillVectorFit(); | |
3474 | // Reset | |
3475 | for (Int_t k = 0; k < 2304; k++) { | |
3476 | fCurrentCoefDetector[k] = 0.0; | |
3477 | } | |
55a288e5 | 3478 | } |
3479 | ||
3a0f6479 | 3480 | if(fDebugLevel > 1){ |
55a288e5 | 3481 | |
3a0f6479 | 3482 | if ( !fDebugStreamer ) { |
3483 | //debug stream | |
3484 | TDirectory *backup = gDirectory; | |
4aad967c | 3485 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); |
3a0f6479 | 3486 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3487 | } | |
3488 | ||
3489 | Int_t detector = fCountDet; | |
3490 | Int_t caligroup = idect; | |
3491 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
3492 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
3493 | Short_t colmin = fCalibraMode->GetColMin(0); | |
3494 | Short_t colmax = fCalibraMode->GetColMax(0); | |
3495 | Float_t gf = fCurrentCoef[0]; | |
3496 | Float_t gfs = fCurrentCoef[1]; | |
3497 | Float_t gfE = fCurrentCoefE; | |
3498 | ||
413153cb | 3499 | (*fDebugStreamer) << "FillFillCH" << |
3a0f6479 | 3500 | "detector=" << detector << |
3501 | "caligroup=" << caligroup << | |
3502 | "rowmin=" << rowmin << | |
3503 | "rowmax=" << rowmax << | |
3504 | "colmin=" << colmin << | |
3505 | "colmax=" << colmax << | |
3506 | "gf=" << gf << | |
3507 | "gfs=" << gfs << | |
3508 | "gfE=" << gfE << | |
3509 | "\n"; | |
3510 | ||
3511 | } | |
3512 | } | |
3513 | //________________________________________________________________________________ | |
64942b85 | 3514 | void AliTRDCalibraFit::FillFillPH(Int_t idect,Double_t nentries) |
55a288e5 | 3515 | { |
3516 | // | |
3a0f6479 | 3517 | // DebugStream and fVectorFit and fVectorFit2 |
55a288e5 | 3518 | // |
3a0f6479 | 3519 | |
3520 | // End of one detector | |
3521 | if ((idect == (fCount-1))) { | |
3522 | FillVectorFit(); | |
3523 | FillVectorFit2(); | |
3524 | // Reset | |
3525 | for (Int_t k = 0; k < 2304; k++) { | |
3526 | fCurrentCoefDetector[k] = 0.0; | |
3527 | fCurrentCoefDetector2[k] = 0.0; | |
3528 | } | |
3529 | } | |
3530 | ||
3531 | if(fDebugLevel > 1){ | |
3532 | ||
3533 | if ( !fDebugStreamer ) { | |
3534 | //debug stream | |
3535 | TDirectory *backup = gDirectory; | |
4aad967c | 3536 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); |
3a0f6479 | 3537 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3538 | } | |
3539 | ||
3540 | ||
3541 | Int_t detector = fCountDet; | |
3542 | Int_t caligroup = idect; | |
3543 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
3544 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
3545 | Short_t colmin = fCalibraMode->GetColMin(1); | |
3546 | Short_t colmax = fCalibraMode->GetColMax(1); | |
3547 | Float_t vf = fCurrentCoef[0]; | |
3548 | Float_t vs = fCurrentCoef[1]; | |
3549 | Float_t vfE = fCurrentCoefE; | |
3550 | Float_t t0f = fCurrentCoef2[0]; | |
3551 | Float_t t0s = fCurrentCoef2[1]; | |
3552 | Float_t t0E = fCurrentCoefE2; | |
3553 | ||
55a288e5 | 3554 | |
3a0f6479 | 3555 | |
413153cb | 3556 | (* fDebugStreamer) << "FillFillPH"<< |
3a0f6479 | 3557 | "detector="<<detector<< |
64942b85 | 3558 | "nentries="<<nentries<< |
3a0f6479 | 3559 | "caligroup="<<caligroup<< |
3560 | "rowmin="<<rowmin<< | |
3561 | "rowmax="<<rowmax<< | |
3562 | "colmin="<<colmin<< | |
3563 | "colmax="<<colmax<< | |
3564 | "vf="<<vf<< | |
3565 | "vs="<<vs<< | |
3566 | "vfE="<<vfE<< | |
3567 | "t0f="<<t0f<< | |
3568 | "t0s="<<t0s<< | |
3569 | "t0E="<<t0E<< | |
3570 | "\n"; | |
3571 | } | |
55a288e5 | 3572 | |
3573 | } | |
3a0f6479 | 3574 | //________________________________________________________________________________ |
3575 | void AliTRDCalibraFit::FillFillPRF(Int_t idect) | |
3576 | { | |
3577 | // | |
3578 | // DebugStream and fVectorFit | |
3579 | // | |
55a288e5 | 3580 | |
3a0f6479 | 3581 | // End of one detector |
3582 | if ((idect == (fCount-1))) { | |
3583 | FillVectorFit(); | |
3584 | // Reset | |
3585 | for (Int_t k = 0; k < 2304; k++) { | |
3586 | fCurrentCoefDetector[k] = 0.0; | |
3587 | } | |
3588 | } | |
3589 | ||
3590 | ||
3591 | if(fDebugLevel > 1){ | |
3592 | ||
3593 | if ( !fDebugStreamer ) { | |
3594 | //debug stream | |
3595 | TDirectory *backup = gDirectory; | |
4aad967c | 3596 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 3597 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3598 | } | |
3599 | ||
3600 | Int_t detector = fCountDet; | |
053767a4 | 3601 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 3602 | Int_t caligroup = idect; |
3603 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
3604 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
3605 | Short_t colmin = fCalibraMode->GetColMin(2); | |
3606 | Short_t colmax = fCalibraMode->GetColMax(2); | |
3607 | Float_t widf = fCurrentCoef[0]; | |
3608 | Float_t wids = fCurrentCoef[1]; | |
3609 | Float_t widfE = fCurrentCoefE; | |
3610 | ||
413153cb | 3611 | (* fDebugStreamer) << "FillFillPRF"<< |
3a0f6479 | 3612 | "detector="<<detector<< |
053767a4 | 3613 | "layer="<<layer<< |
3a0f6479 | 3614 | "caligroup="<<caligroup<< |
3615 | "rowmin="<<rowmin<< | |
3616 | "rowmax="<<rowmax<< | |
3617 | "colmin="<<colmin<< | |
3618 | "colmax="<<colmax<< | |
3619 | "widf="<<widf<< | |
3620 | "wids="<<wids<< | |
3621 | "widfE="<<widfE<< | |
3622 | "\n"; | |
3623 | } | |
3624 | ||
3625 | } | |
3626 | //________________________________________________________________________________ | |
3627 | void AliTRDCalibraFit::FillFillLinearFitter() | |
55a288e5 | 3628 | { |
3629 | // | |
3a0f6479 | 3630 | // DebugStream and fVectorFit |
55a288e5 | 3631 | // |
3a0f6479 | 3632 | |
3633 | // End of one detector | |
3634 | FillVectorFit(); | |
3635 | FillVectorFit2(); | |
3636 | ||
3637 | ||
3638 | // Reset | |
3639 | for (Int_t k = 0; k < 2304; k++) { | |
3640 | fCurrentCoefDetector[k] = 0.0; | |
3641 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 3642 | } |
3a0f6479 | 3643 | |
55a288e5 | 3644 | |
3a0f6479 | 3645 | if(fDebugLevel > 1){ |
55a288e5 | 3646 | |
3a0f6479 | 3647 | if ( !fDebugStreamer ) { |
3648 | //debug stream | |
3649 | TDirectory *backup = gDirectory; | |
4aad967c | 3650 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitLinearFitter.root"); |
3a0f6479 | 3651 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3652 | } | |
3653 | ||
3654 | //Debug: comparaison of the different methods (okey for first time but not for iterative procedure) | |
053767a4 | 3655 | AliTRDpadPlane *padplane = fGeo->GetPadPlane(GetLayer(fCountDet),GetStack(fCountDet)); |
3a0f6479 | 3656 | Float_t rowmd = (padplane->GetRow0()+padplane->GetRowEnd())/2.; |
053767a4 | 3657 | Float_t r = AliTRDgeometry::GetTime0(GetLayer(fCountDet)); |
3a0f6479 | 3658 | Float_t tiltangle = padplane->GetTiltingAngle(); |
3659 | Int_t detector = fCountDet; | |
053767a4 | 3660 | Int_t stack = GetStack(fCountDet); |
3661 | Int_t layer = GetLayer(fCountDet); | |
3a0f6479 | 3662 | Float_t vf = fCurrentCoef[0]; |
3663 | Float_t vs = fCurrentCoef[1]; | |
3664 | Float_t vfE = fCurrentCoefE; | |
3665 | Float_t lorentzangler = fCurrentCoef2[0]; | |
e6381f8e | 3666 | Float_t elorentzangler = fCurrentCoefE2; |
3a0f6479 | 3667 | Float_t lorentzangles = fCurrentCoef2[1]; |
3668 | ||
413153cb | 3669 | (* fDebugStreamer) << "FillFillLinearFitter"<< |
3a0f6479 | 3670 | "detector="<<detector<< |
053767a4 | 3671 | "stack="<<stack<< |
3672 | "layer="<<layer<< | |
3a0f6479 | 3673 | "rowmd="<<rowmd<< |
3674 | "r="<<r<< | |
3675 | "tiltangle="<<tiltangle<< | |
3676 | "vf="<<vf<< | |
3677 | "vs="<<vs<< | |
3678 | "vfE="<<vfE<< | |
3679 | "lorentzangler="<<lorentzangler<< | |
e6381f8e | 3680 | "Elorentzangler="<<elorentzangler<< |
3a0f6479 | 3681 | "lorentzangles="<<lorentzangles<< |
3682 | "\n"; | |
3683 | } | |
3684 | ||
3685 | } | |
55a288e5 | 3686 | // |
3687 | //____________Calcul Coef Mean_________________________________________________ | |
3688 | // | |
55a288e5 | 3689 | //_____________________________________________________________________________ |
3a0f6479 | 3690 | Bool_t AliTRDCalibraFit::CalculT0CoefMean() |
55a288e5 | 3691 | { |
3692 | // | |
3693 | // For the detector Dect calcul the mean time 0 | |
3694 | // for the calibration group idect from the choosen database | |
3695 | // | |
3696 | ||
3a0f6479 | 3697 | fCurrentCoef2[1] = 0.0; |
3698 | if(fDebugLevel != 1){ | |
64942b85 | 3699 | if(((fCalibraMode->GetNz(1) > 0) || |
3700 | (fCalibraMode->GetNrphi(1) > 0)) && ((fCalibraMode->GetNz(1) != 10) && (fCalibraMode->GetNz(1) != 100))) { | |
3701 | ||
3a0f6479 | 3702 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { |
3703 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
3704 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); | |
55a288e5 | 3705 | } |
3a0f6479 | 3706 | } |
64942b85 | 3707 | |
3a0f6479 | 3708 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); |
64942b85 | 3709 | |
3a0f6479 | 3710 | } |
3711 | else { | |
64942b85 | 3712 | |
3a0f6479 | 3713 | if(!fAccCDB){ |
3714 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
3715 | } | |
3716 | else{ | |
64942b85 | 3717 | |
053767a4 | 3718 | for(Int_t row = 0; row < fGeo->GetRowMax(GetLayer(fCountDet),GetStack(fCountDet),GetSector(fCountDet)); row++){ |
3719 | for(Int_t col = 0; col < fGeo->GetColMax(GetLayer(fCountDet)); col++){ | |
3a0f6479 | 3720 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); |
3721 | } | |
55a288e5 | 3722 | } |
053767a4 | 3723 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fGeo->GetRowMax(GetLayer(fCountDet),GetStack(fCountDet),GetSector(fCountDet)))*(fGeo->GetColMax(GetLayer(fCountDet)))); |
64942b85 | 3724 | |
55a288e5 | 3725 | } |
3726 | } | |
55a288e5 | 3727 | } |
55a288e5 | 3728 | return kTRUE; |
55a288e5 | 3729 | } |
3730 | ||
3731 | //_____________________________________________________________________________ | |
3a0f6479 | 3732 | Bool_t AliTRDCalibraFit::CalculChargeCoefMean(Bool_t vrai) |
55a288e5 | 3733 | { |
3734 | // | |
3735 | // For the detector Dect calcul the mean gain factor | |
3736 | // for the calibration group idect from the choosen database | |
3737 | // | |
3738 | ||
3a0f6479 | 3739 | fCurrentCoef[1] = 0.0; |
3740 | if(fDebugLevel != 1){ | |
64942b85 | 3741 | if (((fCalibraMode->GetNz(0) > 0) || |
3742 | (fCalibraMode->GetNrphi(0) > 0)) && ((fCalibraMode->GetNz(0) != 10) && (fCalibraMode->GetNz(0) != 100))) { | |
3a0f6479 | 3743 | for (Int_t row = fCalibraMode->GetRowMin(0); row < fCalibraMode->GetRowMax(0); row++) { |
3744 | for (Int_t col = fCalibraMode->GetColMin(0); col < fCalibraMode->GetColMax(0); col++) { | |
3745 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
3746 | if (vrai) fScaleFitFactor += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 3747 | } |
3748 | } | |
3a0f6479 | 3749 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0))); |
55a288e5 | 3750 | } |
3a0f6479 | 3751 | else { |
3752 | //Per detectors | |
3753 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
3754 | if (vrai) fScaleFitFactor += ((Float_t) fCalDet->GetValue(fCountDet))*(fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0)); | |
3755 | } | |
55a288e5 | 3756 | } |
55a288e5 | 3757 | return kTRUE; |
55a288e5 | 3758 | } |
55a288e5 | 3759 | //_____________________________________________________________________________ |
3a0f6479 | 3760 | Bool_t AliTRDCalibraFit::CalculPRFCoefMean() |
55a288e5 | 3761 | { |
3762 | // | |
3763 | // For the detector Dect calcul the mean sigma of pad response | |
3764 | // function for the calibration group idect from the choosen database | |
3765 | // | |
3a0f6479 | 3766 | |
3767 | fCurrentCoef[1] = 0.0; | |
3768 | if(fDebugLevel != 1){ | |
55a288e5 | 3769 | for (Int_t row = fCalibraMode->GetRowMin(2); row < fCalibraMode->GetRowMax(2); row++) { |
3770 | for (Int_t col = fCalibraMode->GetColMin(2); col < fCalibraMode->GetColMax(2); col++) { | |
3a0f6479 | 3771 | fCurrentCoef[1] += (Float_t) fCalROC->GetValue(col,row); |
55a288e5 | 3772 | } |
3773 | } | |
3a0f6479 | 3774 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(2)-fCalibraMode->GetColMin(2))*(fCalibraMode->GetRowMax(2)-fCalibraMode->GetRowMin(2))); |
55a288e5 | 3775 | } |
55a288e5 | 3776 | return kTRUE; |
55a288e5 | 3777 | } |
55a288e5 | 3778 | //_____________________________________________________________________________ |
3a0f6479 | 3779 | Bool_t AliTRDCalibraFit::CalculVdriftCoefMean() |
55a288e5 | 3780 | { |
3781 | // | |
3782 | // For the detector dect calcul the mean drift velocity for the | |
3783 | // calibration group idect from the choosen database | |
3784 | // | |
3785 | ||
3a0f6479 | 3786 | fCurrentCoef[1] = 0.0; |
3787 | if(fDebugLevel != 1){ | |
64942b85 | 3788 | if (((fCalibraMode->GetNz(1) > 0) || |
3789 | (fCalibraMode->GetNrphi(1) > 0)) && ((fCalibraMode->GetNz(1) != 10) && (fCalibraMode->GetNz(1) != 100))) { | |
3790 | ||
3a0f6479 | 3791 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { |
3792 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
3793 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 3794 | } |
3795 | } | |
64942b85 | 3796 | |
3a0f6479 | 3797 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); |
64942b85 | 3798 | |
55a288e5 | 3799 | } |
3a0f6479 | 3800 | else { |
3801 | //per detectors | |
3802 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
3803 | } | |
55a288e5 | 3804 | } |
55a288e5 | 3805 | return kTRUE; |
55a288e5 | 3806 | } |
3a0f6479 | 3807 | //_____________________________________________________________________________ |
3808 | Bool_t AliTRDCalibraFit::CalculVdriftLorentzCoef() | |
3809 | { | |
3810 | // | |
3811 | // For the detector fCountDet, mean drift velocity and tan lorentzangle | |
3812 | // | |
3813 | ||
3814 | fCurrentCoef[1] = fCalDet->GetValue(fCountDet); | |
3815 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
55a288e5 | 3816 | |
3a0f6479 | 3817 | return kTRUE; |
3818 | } | |
55a288e5 | 3819 | //_____________________________________________________________________________ |
053767a4 | 3820 | Float_t AliTRDCalibraFit::GetPRFDefault(Int_t layer) const |
55a288e5 | 3821 | { |
3822 | // | |
3823 | // Default width of the PRF if there is no database as reference | |
3824 | // | |
053767a4 | 3825 | switch(layer) |
3a0f6479 | 3826 | { |
3827 | // default database | |
3828 | //case 0: return 0.515; | |
3829 | //case 1: return 0.502; | |
3830 | //case 2: return 0.491; | |
3831 | //case 3: return 0.481; | |
3832 | //case 4: return 0.471; | |
3833 | //case 5: return 0.463; | |
3834 | //default: return 0.0; | |
3835 | ||
3836 | // fit database | |
3837 | case 0: return 0.538429; | |
3838 | case 1: return 0.524302; | |
3839 | case 2: return 0.511591; | |
3840 | case 3: return 0.500140; | |
3841 | case 4: return 0.489821; | |
3842 | case 5: return 0.480524; | |
3843 | default: return 0.0; | |
55a288e5 | 3844 | } |
3a0f6479 | 3845 | } |
3846 | //________________________________________________________________________________ | |
3847 | void AliTRDCalibraFit::SetCalROC(Int_t i) | |
3848 | { | |
3849 | // | |
3850 | // Set the calib object for fCountDet | |
3851 | // | |
3852 | ||
3853 | Float_t value = 0.0; | |
3854 | ||
3855 | //Get the CalDet object | |
3856 | if(fAccCDB){ | |
3857 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
3858 | if (!cal) { | |
3859 | AliInfo("Could not get calibDB"); | |
3860 | return; | |
3861 | } | |
3862 | switch (i) | |
3863 | { | |
3864 | case 0: | |
64942b85 | 3865 | if( fCalROC ){ |
3866 | fCalROC->~AliTRDCalROC(); | |
3867 | new(fCalROC) AliTRDCalROC(*(cal->GetGainFactorROC(fCountDet))); | |
3868 | }else fCalROC = new AliTRDCalROC(*(cal->GetGainFactorROC(fCountDet))); | |
3a0f6479 | 3869 | break; |
3870 | case 1: | |
64942b85 | 3871 | if( fCalROC ){ |
3872 | fCalROC->~AliTRDCalROC(); | |
3873 | new(fCalROC) AliTRDCalROC(*(cal->GetVdriftROC(fCountDet))); | |
3874 | }else fCalROC = new AliTRDCalROC(*(cal->GetVdriftROC(fCountDet))); | |
3875 | if( fCalROC2 ){ | |
3876 | fCalROC2->~AliTRDCalROC(); | |
3877 | new(fCalROC2) AliTRDCalROC(*(cal->GetT0ROC(fCountDet))); | |
3878 | }else fCalROC2 = new AliTRDCalROC(*(cal->GetT0ROC(fCountDet))); | |
3a0f6479 | 3879 | break; |
3880 | case 2: | |
64942b85 | 3881 | if( fCalROC ){ |
3882 | fCalROC->~AliTRDCalROC(); | |
3883 | new(fCalROC) AliTRDCalROC(*(cal->GetPRFROC(fCountDet))); | |
3884 | }else fCalROC = new AliTRDCalROC(*(cal->GetPRFROC(fCountDet))); | |
3885 | break; | |
3a0f6479 | 3886 | default: return; |
3887 | } | |
55a288e5 | 3888 | } |
3a0f6479 | 3889 | else{ |
3890 | switch (i) | |
3891 | { | |
3892 | case 0: | |
3893 | if(fCalROC) delete fCalROC; | |
053767a4 | 3894 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); |
3a0f6479 | 3895 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
3896 | fCalROC->SetValue(k,1.0); | |
3897 | } | |
3898 | break; | |
3899 | case 1: | |
3900 | if(fCalROC) delete fCalROC; | |
3901 | if(fCalROC2) delete fCalROC2; | |
053767a4 | 3902 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); |
3903 | fCalROC2 = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); | |
3a0f6479 | 3904 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
3905 | fCalROC->SetValue(k,1.0); | |
3906 | fCalROC2->SetValue(k,0.0); | |
3907 | } | |
3908 | break; | |
3909 | case 2: | |
3910 | if(fCalROC) delete fCalROC; | |
053767a4 | 3911 | value = GetPRFDefault(GetLayer(fCountDet)); |
3912 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); | |
3a0f6479 | 3913 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
3914 | fCalROC->SetValue(k,value); | |
3915 | } | |
3916 | break; | |
3917 | default: return; | |
3918 | } | |
55a288e5 | 3919 | } |
3920 | ||
3921 | } | |
55a288e5 | 3922 | //____________Fit Methods______________________________________________________ |
3923 | ||
3924 | //_____________________________________________________________________________ | |
3a0f6479 | 3925 | void AliTRDCalibraFit::FitPente(TH1* projPH) |
55a288e5 | 3926 | { |
3927 | // | |
3928 | // Slope methode for the drift velocity | |
3929 | // | |
3930 | ||
3931 | // Constants | |
3932 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 3933 | Int_t binmax = 0; |
3934 | Int_t binmin = 0; | |
3935 | fPhd[0] = 0.0; | |
3936 | fPhd[1] = 0.0; | |
3937 | fPhd[2] = 0.0; | |
3938 | Int_t ju = 0; | |
3939 | fCurrentCoefE = 0.0; | |
3940 | fCurrentCoefE2 = 0.0; | |
3941 | fCurrentCoef[0] = 0.0; | |
3942 | fCurrentCoef2[0] = 0.0; | |
3943 | TLine *line = new TLine(); | |
55a288e5 | 3944 | |
3945 | // Some variables | |
3946 | TAxis *xpph = projPH->GetXaxis(); | |
3947 | Int_t nbins = xpph->GetNbins(); | |
3948 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
3949 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
3950 | Double_t widbins = (upedge - lowedge) / nbins; | |
3951 | Double_t limit = upedge + 0.5 * widbins; | |
3952 | Bool_t put = kTRUE; | |
3953 | ||
3954 | // Beginning of the signal | |
3955 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
3956 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
3957 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
3958 | } | |
55a288e5 | 3959 | binmax = (Int_t) pentea->GetMaximumBin(); |
55a288e5 | 3960 | if (binmax <= 1) { |
3961 | binmax = 2; | |
3962 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
3963 | } | |
3964 | if (binmax >= nbins) { | |
3965 | binmax = nbins-1; | |
3966 | put = kFALSE; | |
3967 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
3968 | } | |
3969 | pentea->Fit("pol2","0MR","",TMath::Max(pentea->GetBinCenter(binmax-1),0.0),pentea->GetBinCenter(binmax+1)); | |
3970 | Float_t l3P1am = pentea->GetFunction("pol2")->GetParameter(1); | |
3971 | Float_t l3P2am = pentea->GetFunction("pol2")->GetParameter(2); | |
3972 | Float_t l3P1amE = pentea->GetFunction("pol2")->GetParError(1); | |
3973 | Float_t l3P2amE = pentea->GetFunction("pol2")->GetParError(2); | |
3974 | if (l3P2am != 0) { | |
3975 | fPhd[0] = -(l3P1am / (2 * l3P2am)); | |
3976 | } | |
3977 | if(!fTakeTheMaxPH){ | |
3978 | if((l3P1am != 0.0) && (l3P2am != 0.0)){ | |
3a0f6479 | 3979 | fCurrentCoefE2 = (l3P1amE/l3P1am + l3P2amE/l3P2am)*fPhd[0]; |
55a288e5 | 3980 | } |
3981 | } | |
55a288e5 | 3982 | // Amplification region |
3983 | binmax = 0; | |
3984 | ju = 0; | |
3985 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 3986 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 3987 | binmax = kbin; |
3988 | ju = 1; | |
3989 | } | |
3990 | } | |
55a288e5 | 3991 | if (binmax <= 1) { |
3992 | binmax = 2; | |
3993 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
3994 | } | |
3995 | if (binmax >= nbins) { | |
3996 | binmax = nbins-1; | |
3997 | put = kFALSE; | |
3998 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
3999 | } | |
4000 | projPH->Fit("pol2","0MR","",TMath::Max(projPH->GetBinCenter(binmax-1),0.0),projPH->GetBinCenter(binmax+1)); | |
4001 | Float_t l3P1amf = projPH->GetFunction("pol2")->GetParameter(1); | |
4002 | Float_t l3P2amf = projPH->GetFunction("pol2")->GetParameter(2); | |
4003 | Float_t l3P1amfE = projPH->GetFunction("pol2")->GetParError(1); | |
4004 | Float_t l3P2amfE = projPH->GetFunction("pol2")->GetParError(2); | |
55a288e5 | 4005 | if (l3P2amf != 0) { |
4006 | fPhd[1] = -(l3P1amf / (2 * l3P2amf)); | |
4007 | } | |
4008 | if((l3P1amf != 0.0) && (l3P2amf != 0.0)){ | |
3a0f6479 | 4009 | fCurrentCoefE = (l3P1amfE/l3P1amf + l3P2amfE/l3P2amf)*fPhd[1]; |
55a288e5 | 4010 | } |
4011 | if(fTakeTheMaxPH){ | |
3a0f6479 | 4012 | fCurrentCoefE2 = fCurrentCoefE; |
55a288e5 | 4013 | } |
55a288e5 | 4014 | // Drift region |
4015 | TH1D *pente = new TH1D("pente","pente",projPH->GetNbinsX(),0,(Float_t) limit); | |
4016 | for (Int_t k = TMath::Min(binmax+4,projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
4017 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4018 | } | |
4019 | binmin = 0; | |
4020 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
4021 | if (binmin <= 1) { | |
4022 | binmin = 2; | |
4023 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4024 | } | |
4025 | if (binmin >= nbins) { | |
4026 | binmin = nbins-1; | |
4027 | put = kFALSE; | |
4028 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
4029 | } | |
55a288e5 | 4030 | pente->Fit("pol2" |
4031 | ,"0MR" | |
4032 | ,"" | |
4033 | ,TMath::Max(pente->GetBinCenter(binmin-1), 0.0) | |
4034 | ,TMath::Min(pente->GetBinCenter(binmin+1),(Double_t) limit)); | |
4035 | Float_t l3P1dr = pente->GetFunction("pol2")->GetParameter(1); | |
4036 | Float_t l3P2dr = pente->GetFunction("pol2")->GetParameter(2); | |
4037 | Float_t l3P1drE = pente->GetFunction("pol2")->GetParError(1); | |
4038 | Float_t l3P2drE = pente->GetFunction("pol2")->GetParError(2); | |
4039 | if (l3P2dr != 0) { | |
4040 | fPhd[2] = -(l3P1dr / (2 * l3P2dr)); | |
4041 | } | |
4042 | if((l3P1dr != 0.0) && (l3P2dr != 0.0)){ | |
3a0f6479 | 4043 | fCurrentCoefE += (l3P1drE/l3P1dr + l3P2drE/l3P2dr)*fPhd[2]; |
55a288e5 | 4044 | } |
413153cb | 4045 | Float_t fPhdt0 = 0.0; |
4046 | Float_t t0Shift = 0.0; | |
4047 | if(fTakeTheMaxPH) { | |
4048 | fPhdt0 = fPhd[1]; | |
4049 | t0Shift = fT0Shift1; | |
4050 | } | |
4051 | else { | |
4052 | fPhdt0 = fPhd[0]; | |
4053 | t0Shift = fT0Shift0; | |
4054 | } | |
55a288e5 | 4055 | |
4056 | if ((fPhd[2] > fPhd[0]) && | |
4057 | (fPhd[2] > fPhd[1]) && | |
4058 | (fPhd[1] > fPhd[0]) && | |
4059 | (put)) { | |
3a0f6479 | 4060 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
4061 | fNumberFitSuccess++; | |
4062 | ||
55a288e5 | 4063 | if (fPhdt0 >= 0.0) { |
413153cb | 4064 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; |
3a0f6479 | 4065 | if (fCurrentCoef2[0] < -1.0) { |
64942b85 | 4066 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4067 | } |
4068 | } | |
4069 | else { | |
64942b85 | 4070 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4071 | } |
3a0f6479 | 4072 | |
55a288e5 | 4073 | } |
4074 | else { | |
3a0f6479 | 4075 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
64942b85 | 4076 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4077 | } |
4078 | ||
3a0f6479 | 4079 | if (fDebugLevel == 1) { |
55a288e5 | 4080 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
4081 | cpentei->cd(); | |
4082 | projPH->Draw(); | |
4083 | line->SetLineColor(2); | |
4084 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
4085 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
4086 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
4087 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
4088 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
4089 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 4090 | AliInfo(Form("fVriftCoef[1] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 4091 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
4092 | cpentei2->cd(); | |
4093 | pentea->Draw(); | |
4094 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
4095 | cpentei3->cd(); | |
4096 | pente->Draw(); | |
4097 | } | |
3a0f6479 | 4098 | else { |
55a288e5 | 4099 | delete pentea; |
55a288e5 | 4100 | delete pente; |
4101 | } | |
55a288e5 | 4102 | } |
55a288e5 | 4103 | //_____________________________________________________________________________ |
3a0f6479 | 4104 | void AliTRDCalibraFit::FitLagrangePoly(TH1* projPH) |
55a288e5 | 4105 | { |
4106 | // | |
4107 | // Slope methode but with polynomes de Lagrange | |
4108 | // | |
4109 | ||
4110 | // Constants | |
4111 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 4112 | Int_t binmax = 0; |
4113 | Int_t binmin = 0; | |
4114 | Double_t *x = new Double_t[5]; | |
4115 | Double_t *y = new Double_t[5]; | |
4116 | x[0] = 0.0; | |
4117 | x[1] = 0.0; | |
4118 | x[2] = 0.0; | |
4119 | x[3] = 0.0; | |
4120 | x[4] = 0.0; | |
4121 | y[0] = 0.0; | |
4122 | y[1] = 0.0; | |
4123 | y[2] = 0.0; | |
4124 | y[3] = 0.0; | |
4125 | y[4] = 0.0; | |
4126 | fPhd[0] = 0.0; | |
4127 | fPhd[1] = 0.0; | |
4128 | fPhd[2] = 0.0; | |
4129 | Int_t ju = 0; | |
4130 | fCurrentCoefE = 0.0; | |
4131 | fCurrentCoefE2 = 1.0; | |
4132 | fCurrentCoef[0] = 0.0; | |
4133 | fCurrentCoef2[0] = 0.0; | |
55a288e5 | 4134 | TLine *line = new TLine(); |
4135 | TF1 * polynome = 0x0; | |
4136 | TF1 * polynomea = 0x0; | |
4137 | TF1 * polynomeb = 0x0; | |
4138 | Double_t *c = 0x0; | |
4139 | ||
4140 | // Some variables | |
4141 | TAxis *xpph = projPH->GetXaxis(); | |
4142 | Int_t nbins = xpph->GetNbins(); | |
4143 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
4144 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
4145 | Double_t widbins = (upedge - lowedge) / nbins; | |
4146 | Double_t limit = upedge + 0.5 * widbins; | |
4147 | ||
4148 | ||
4149 | Bool_t put = kTRUE; | |
4150 | ||
4151 | // Beginning of the signal | |
4152 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
4153 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
4154 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4155 | } | |
4156 | ||
4157 | binmax = (Int_t) pentea->GetMaximumBin(); | |
55a288e5 | 4158 | |
4159 | Double_t minnn = 0.0; | |
4160 | Double_t maxxx = 0.0; | |
4161 | ||
3a0f6479 | 4162 | Int_t kase = nbins-binmax; |
4163 | ||
4164 | switch(kase) | |
4165 | { | |
4166 | case 0: | |
4167 | put = kFALSE; | |
4168 | break; | |
4169 | case 1: | |
4170 | minnn = pentea->GetBinCenter(binmax-2); | |
4171 | maxxx = pentea->GetBinCenter(binmax); | |
4172 | x[0] = pentea->GetBinCenter(binmax-2); | |
4173 | x[1] = pentea->GetBinCenter(binmax-1); | |
4174 | x[2] = pentea->GetBinCenter(binmax); | |
4175 | y[0] = pentea->GetBinContent(binmax-2); | |
4176 | y[1] = pentea->GetBinContent(binmax-1); | |
4177 | y[2] = pentea->GetBinContent(binmax); | |
4178 | c = CalculPolynomeLagrange2(x,y); | |
4179 | AliInfo("At the limit for beginning!"); | |
4180 | break; | |
4181 | case 2: | |
4182 | minnn = pentea->GetBinCenter(binmax-2); | |
4183 | maxxx = pentea->GetBinCenter(binmax+1); | |
4184 | x[0] = pentea->GetBinCenter(binmax-2); | |
4185 | x[1] = pentea->GetBinCenter(binmax-1); | |
4186 | x[2] = pentea->GetBinCenter(binmax); | |
4187 | x[3] = pentea->GetBinCenter(binmax+1); | |
4188 | y[0] = pentea->GetBinContent(binmax-2); | |
4189 | y[1] = pentea->GetBinContent(binmax-1); | |
4190 | y[2] = pentea->GetBinContent(binmax); | |
4191 | y[3] = pentea->GetBinContent(binmax+1); | |
4192 | c = CalculPolynomeLagrange3(x,y); | |
4193 | break; | |
4194 | default: | |
4195 | switch(binmax){ | |
4196 | case 0: | |
4197 | put = kFALSE; | |
4198 | break; | |
4199 | case 1: | |
4200 | minnn = pentea->GetBinCenter(binmax); | |
4201 | maxxx = pentea->GetBinCenter(binmax+2); | |
4202 | x[0] = pentea->GetBinCenter(binmax); | |
4203 | x[1] = pentea->GetBinCenter(binmax+1); | |
4204 | x[2] = pentea->GetBinCenter(binmax+2); | |
4205 | y[0] = pentea->GetBinContent(binmax); | |
4206 | y[1] = pentea->GetBinContent(binmax+1); | |
4207 | y[2] = pentea->GetBinContent(binmax+2); | |
4208 | c = CalculPolynomeLagrange2(x,y); | |
4209 | break; | |
4210 | case 2: | |
4211 | minnn = pentea->GetBinCenter(binmax-1); | |
4212 | maxxx = pentea->GetBinCenter(binmax+2); | |
4213 | x[0] = pentea->GetBinCenter(binmax-1); | |
4214 | x[1] = pentea->GetBinCenter(binmax); | |
4215 | x[2] = pentea->GetBinCenter(binmax+1); | |
4216 | x[3] = pentea->GetBinCenter(binmax+2); | |
4217 | y[0] = pentea->GetBinContent(binmax-1); | |
4218 | y[1] = pentea->GetBinContent(binmax); | |
4219 | y[2] = pentea->GetBinContent(binmax+1); | |
4220 | y[3] = pentea->GetBinContent(binmax+2); | |
4221 | c = CalculPolynomeLagrange3(x,y); | |
4222 | break; | |
4223 | default: | |
4224 | minnn = pentea->GetBinCenter(binmax-2); | |
4225 | maxxx = pentea->GetBinCenter(binmax+2); | |
4226 | x[0] = pentea->GetBinCenter(binmax-2); | |
4227 | x[1] = pentea->GetBinCenter(binmax-1); | |
4228 | x[2] = pentea->GetBinCenter(binmax); | |
4229 | x[3] = pentea->GetBinCenter(binmax+1); | |
4230 | x[4] = pentea->GetBinCenter(binmax+2); | |
4231 | y[0] = pentea->GetBinContent(binmax-2); | |
4232 | y[1] = pentea->GetBinContent(binmax-1); | |
4233 | y[2] = pentea->GetBinContent(binmax); | |
4234 | y[3] = pentea->GetBinContent(binmax+1); | |
4235 | y[4] = pentea->GetBinContent(binmax+2); | |
4236 | c = CalculPolynomeLagrange4(x,y); | |
4237 | break; | |
4238 | } | |
4239 | break; | |
55a288e5 | 4240 | } |
3a0f6479 | 4241 | |
4242 | ||
55a288e5 | 4243 | if(put) { |
4244 | polynomeb = new TF1("polb","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minnn,maxxx); | |
4245 | polynomeb->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
3a0f6479 | 4246 | |
55a288e5 | 4247 | Double_t step = (maxxx-minnn)/10000; |
4248 | Double_t l = minnn; | |
4249 | Double_t maxvalue = 0.0; | |
4250 | Double_t placemaximum = minnn; | |
4251 | for(Int_t o = 0; o < 10000; o++){ | |
4252 | if(o == 0) maxvalue = polynomeb->Eval(l); | |
4253 | if(maxvalue < (polynomeb->Eval(l))){ | |
4254 | maxvalue = polynomeb->Eval(l); | |
4255 | placemaximum = l; | |
4256 | } | |
4257 | l += step; | |
4258 | } | |
4259 | fPhd[0] = placemaximum; | |
4260 | } | |
55a288e5 | 4261 | |
4262 | // Amplification region | |
4263 | binmax = 0; | |
4264 | ju = 0; | |
4265 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 4266 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 4267 | binmax = kbin; |
4268 | ju = 1; | |
4269 | } | |
4270 | } | |
3a0f6479 | 4271 | |
55a288e5 | 4272 | Double_t minn = 0.0; |
4273 | Double_t maxx = 0.0; | |
3a0f6479 | 4274 | x[0] = 0.0; |
4275 | x[1] = 0.0; | |
4276 | x[2] = 0.0; | |
4277 | x[3] = 0.0; | |
4278 | x[4] = 0.0; | |
4279 | y[0] = 0.0; | |
4280 | y[1] = 0.0; | |
4281 | y[2] = 0.0; | |
4282 | y[3] = 0.0; | |
4283 | y[4] = 0.0; | |
4284 | ||
4285 | Int_t kase1 = nbins - binmax; | |
55a288e5 | 4286 | |
4287 | //Determination of minn and maxx | |
4288 | //case binmax = nbins | |
4289 | //pol2 | |
3a0f6479 | 4290 | switch(kase1) |
4291 | { | |
4292 | case 0: | |
4293 | minn = projPH->GetBinCenter(binmax-2); | |
4294 | maxx = projPH->GetBinCenter(binmax); | |
4295 | x[0] = projPH->GetBinCenter(binmax-2); | |
4296 | x[1] = projPH->GetBinCenter(binmax-1); | |
4297 | x[2] = projPH->GetBinCenter(binmax); | |
4298 | y[0] = projPH->GetBinContent(binmax-2); | |
4299 | y[1] = projPH->GetBinContent(binmax-1); | |
4300 | y[2] = projPH->GetBinContent(binmax); | |
4301 | c = CalculPolynomeLagrange2(x,y); | |
4302 | //AliInfo("At the limit for the drift!"); | |
4303 | break; | |
4304 | case 1: | |
4305 | minn = projPH->GetBinCenter(binmax-2); | |
4306 | maxx = projPH->GetBinCenter(binmax+1); | |
4307 | x[0] = projPH->GetBinCenter(binmax-2); | |
4308 | x[1] = projPH->GetBinCenter(binmax-1); | |
4309 | x[2] = projPH->GetBinCenter(binmax); | |
4310 | x[3] = projPH->GetBinCenter(binmax+1); | |
4311 | y[0] = projPH->GetBinContent(binmax-2); | |
4312 | y[1] = projPH->GetBinContent(binmax-1); | |
4313 | y[2] = projPH->GetBinContent(binmax); | |
4314 | y[3] = projPH->GetBinContent(binmax+1); | |
4315 | c = CalculPolynomeLagrange3(x,y); | |
4316 | break; | |
4317 | default: | |
4318 | switch(binmax) | |
4319 | { | |
4320 | case 0: | |
4321 | put = kFALSE; | |
4322 | break; | |
4323 | case 1: | |
4324 | minn = projPH->GetBinCenter(binmax); | |
4325 | maxx = projPH->GetBinCenter(binmax+2); | |
4326 | x[0] = projPH->GetBinCenter(binmax); | |
4327 | x[1] = projPH->GetBinCenter(binmax+1); | |
4328 | x[2] = projPH->GetBinCenter(binmax+2); | |
4329 | y[0] = projPH->GetBinContent(binmax); | |
4330 | y[1] = projPH->GetBinContent(binmax+1); | |
4331 | y[2] = projPH->GetBinContent(binmax+2); | |
4332 | c = CalculPolynomeLagrange2(x,y); | |
4333 | break; | |
4334 | case 2: | |
4335 | minn = projPH->GetBinCenter(binmax-1); | |
4336 | maxx = projPH->GetBinCenter(binmax+2); | |
4337 | x[0] = projPH->GetBinCenter(binmax-1); | |
4338 | x[1] = projPH->GetBinCenter(binmax); | |
4339 | x[2] = projPH->GetBinCenter(binmax+1); | |
4340 | x[3] = projPH->GetBinCenter(binmax+2); | |
4341 | y[0] = projPH->GetBinContent(binmax-1); | |
4342 | y[1] = projPH->GetBinContent(binmax); | |
4343 | y[2] = projPH->GetBinContent(binmax+1); | |
4344 | y[3] = projPH->GetBinContent(binmax+2); | |
4345 | c = CalculPolynomeLagrange3(x,y); | |
4346 | break; | |
4347 | default: | |
4348 | minn = projPH->GetBinCenter(binmax-2); | |
4349 | maxx = projPH->GetBinCenter(binmax+2); | |
4350 | x[0] = projPH->GetBinCenter(binmax-2); | |
4351 | x[1] = projPH->GetBinCenter(binmax-1); | |
4352 | x[2] = projPH->GetBinCenter(binmax); | |
4353 | x[3] = projPH->GetBinCenter(binmax+1); | |
4354 | x[4] = projPH->GetBinCenter(binmax+2); | |
4355 | y[0] = projPH->GetBinContent(binmax-2); | |
4356 | y[1] = projPH->GetBinContent(binmax-1); | |
4357 | y[2] = projPH->GetBinContent(binmax); | |
4358 | y[3] = projPH->GetBinContent(binmax+1); | |
4359 | y[4] = projPH->GetBinContent(binmax+2); | |
4360 | c = CalculPolynomeLagrange4(x,y); | |
4361 | break; | |
4362 | } | |
4363 | break; | |
55a288e5 | 4364 | } |
3a0f6479 | 4365 | |
55a288e5 | 4366 | if(put) { |
4367 | polynomea = new TF1("pola","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minn,maxx); | |
4368 | polynomea->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
3a0f6479 | 4369 | |
55a288e5 | 4370 | Double_t step = (maxx-minn)/1000; |
4371 | Double_t l = minn; | |
4372 | Double_t maxvalue = 0.0; | |
4373 | Double_t placemaximum = minn; | |
4374 | for(Int_t o = 0; o < 1000; o++){ | |
4375 | if(o == 0) maxvalue = polynomea->Eval(l); | |
4376 | if(maxvalue < (polynomea->Eval(l))){ | |
4377 | maxvalue = polynomea->Eval(l); | |
4378 | placemaximum = l; | |
4379 | } | |
4380 | l += step; | |
4381 | } | |
4382 | fPhd[1] = placemaximum; | |
4383 | } | |
4384 | ||
55a288e5 | 4385 | // Drift region |
4386 | TH1D *pente = new TH1D("pente","pente", projPH->GetNbinsX(),0,(Float_t) limit); | |
4387 | for (Int_t k = TMath::Min(binmax+4, projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
4388 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4389 | } | |
4390 | binmin = 0; | |
4391 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
4392 | ||
4393 | //should not happen | |
4394 | if (binmin <= 1) { | |
4395 | binmin = 2; | |
4396 | put = 1; | |
4397 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4398 | } | |
4399 | ||
4400 | //check | |
64942b85 | 4401 | if((projPH->GetBinContent(binmin)-projPH->GetBinError(binmin)) < (projPH->GetBinContent(binmin+1))) { |
4402 | AliInfo("Too many fluctuations at the end!"); | |
4403 | put = kFALSE; | |
4404 | } | |
4405 | if((projPH->GetBinContent(binmin)+projPH->GetBinError(binmin)) > (projPH->GetBinContent(binmin-1))) { | |
4406 | AliInfo("Too many fluctuations at the end!"); | |
4407 | put = kFALSE; | |
4408 | } | |
4409 | if(pente->GetBinContent(binmin+1)==0){ | |
4410 | AliInfo("No entries for the next bin!"); | |
4411 | pente->SetBinContent(binmin,0); | |
4412 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
4413 | } | |
4414 | ||
3a0f6479 | 4415 | |
4416 | x[0] = 0.0; | |
4417 | x[1] = 0.0; | |
4418 | x[2] = 0.0; | |
4419 | x[3] = 0.0; | |
4420 | x[4] = 0.0; | |
4421 | y[0] = 0.0; | |
4422 | y[1] = 0.0; | |
4423 | y[2] = 0.0; | |
4424 | y[3] = 0.0; | |
4425 | y[4] = 0.0; | |
55a288e5 | 4426 | Double_t min = 0.0; |
4427 | Double_t max = 0.0; | |
4428 | Bool_t case1 = kFALSE; | |
4429 | Bool_t case2 = kFALSE; | |
4430 | Bool_t case4 = kFALSE; | |
4431 | ||
4432 | //Determination of min and max | |
4433 | //case binmin <= nbins-3 | |
4434 | //pol4 case 3 | |
4435 | if((binmin <= (nbins-3)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4436 | min = pente->GetBinCenter(binmin-2); | |
4437 | max = pente->GetBinCenter(binmin+2); | |
4438 | x[0] = pente->GetBinCenter(binmin-2); | |
4439 | x[1] = pente->GetBinCenter(binmin-1); | |
4440 | x[2] = pente->GetBinCenter(binmin); | |
4441 | x[3] = pente->GetBinCenter(binmin+1); | |
4442 | x[4] = pente->GetBinCenter(binmin+2); | |
4443 | y[0] = pente->GetBinContent(binmin-2); | |
4444 | y[1] = pente->GetBinContent(binmin-1); | |
4445 | y[2] = pente->GetBinContent(binmin); | |
4446 | y[3] = pente->GetBinContent(binmin+1); | |
4447 | y[4] = pente->GetBinContent(binmin+2); | |
4448 | //Calcul the polynome de Lagrange | |
4449 | c = CalculPolynomeLagrange4(x,y); | |
4450 | //richtung +/- | |
4451 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && | |
64942b85 | 4452 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4453 | //AliInfo("polynome 4 false 1"); | |
4454 | put = kFALSE; | |
4455 | } | |
55a288e5 | 4456 | if(((binmin+3) <= (nbins-1)) && |
4457 | (pente->GetBinContent(binmin+3) <= pente->GetBinContent(binmin+2)) && | |
4458 | ((binmin-3) >= TMath::Min(binmax+4, projPH->GetNbinsX())) && | |
64942b85 | 4459 | (pente->GetBinContent(binmin-3) <= pente->GetBinContent(binmin-2))) { |
4460 | AliInfo("polynome 4 false 2"); | |
4461 | put = kFALSE; | |
4462 | } | |
4463 | // poly 3 | |
55a288e5 | 4464 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && |
64942b85 | 4465 | (pente->GetBinContent(binmin-2) > pente->GetBinContent(binmin-1))) { |
4466 | //AliInfo("polynome 4 case 1"); | |
4467 | case1 = kTRUE; | |
4468 | } | |
55a288e5 | 4469 | if((pente->GetBinContent(binmin+2) > pente->GetBinContent(binmin+1)) && |
64942b85 | 4470 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4471 | //AliInfo("polynome 4 case 4"); | |
4472 | case4 = kTRUE; | |
4473 | } | |
4474 | ||
55a288e5 | 4475 | } |
4476 | //case binmin = nbins-2 | |
4477 | //pol3 case 1 | |
4478 | if(((binmin == (nbins-2)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
4479 | (case1)){ | |
4480 | min = pente->GetBinCenter(binmin-2); | |
4481 | max = pente->GetBinCenter(binmin+1); | |
4482 | x[0] = pente->GetBinCenter(binmin-2); | |
4483 | x[1] = pente->GetBinCenter(binmin-1); | |
4484 | x[2] = pente->GetBinCenter(binmin); | |
4485 | x[3] = pente->GetBinCenter(binmin+1); | |
4486 | y[0] = pente->GetBinContent(binmin-2); | |
4487 | y[1] = pente->GetBinContent(binmin-1); | |
4488 | y[2] = pente->GetBinContent(binmin); | |
4489 | y[3] = pente->GetBinContent(binmin+1); | |
4490 | //Calcul the polynome de Lagrange | |
4491 | c = CalculPolynomeLagrange3(x,y); | |
4492 | //richtung +: nothing | |
4493 | //richtung - | |
64942b85 | 4494 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4495 | //AliInfo("polynome 3- case 2"); | |
4496 | case2 = kTRUE; | |
4497 | } | |
55a288e5 | 4498 | } |
4499 | //pol3 case 4 | |
4500 | if(((binmin <= (nbins-3)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
4501 | (case4)){ | |
4502 | min = pente->GetBinCenter(binmin-1); | |
4503 | max = pente->GetBinCenter(binmin+2); | |
4504 | x[0] = pente->GetBinCenter(binmin-1); | |
4505 | x[1] = pente->GetBinCenter(binmin); | |
4506 | x[2] = pente->GetBinCenter(binmin+1); | |
4507 | x[3] = pente->GetBinCenter(binmin+2); | |
4508 | y[0] = pente->GetBinContent(binmin-1); | |
4509 | y[1] = pente->GetBinContent(binmin); | |
4510 | y[2] = pente->GetBinContent(binmin+1); | |
4511 | y[3] = pente->GetBinContent(binmin+2); | |
4512 | //Calcul the polynome de Lagrange | |
4513 | c = CalculPolynomeLagrange3(x,y); | |
4514 | //richtung + | |
64942b85 | 4515 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) { |
4516 | //AliInfo("polynome 3+ case 2"); | |
4517 | case2 = kTRUE; | |
4518 | } | |
55a288e5 | 4519 | } |
4520 | //pol2 case 5 | |
4521 | if((binmin <= (nbins-3)) && (binmin == TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4522 | min = pente->GetBinCenter(binmin); | |
4523 | max = pente->GetBinCenter(binmin+2); | |
4524 | x[0] = pente->GetBinCenter(binmin); | |
4525 | x[1] = pente->GetBinCenter(binmin+1); | |
4526 | x[2] = pente->GetBinCenter(binmin+2); | |
4527 | y[0] = pente->GetBinContent(binmin); | |
4528 | y[1] = pente->GetBinContent(binmin+1); | |
4529 | y[2] = pente->GetBinContent(binmin+2); | |
4530 | //Calcul the polynome de Lagrange | |
4531 | c = CalculPolynomeLagrange2(x,y); | |
4532 | //richtung + | |
64942b85 | 4533 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) { |
4534 | //AliInfo("polynome 2+ false"); | |
4535 | put = kFALSE; | |
4536 | } | |
55a288e5 | 4537 | } |
4538 | //pol2 case 2 | |
4539 | if(((binmin == (nbins-2)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
4540 | (case2)){ | |
4541 | min = pente->GetBinCenter(binmin-1); | |
4542 | max = pente->GetBinCenter(binmin+1); | |
4543 | x[0] = pente->GetBinCenter(binmin-1); | |
4544 | x[1] = pente->GetBinCenter(binmin); | |
4545 | x[2] = pente->GetBinCenter(binmin+1); | |
4546 | y[0] = pente->GetBinContent(binmin-1); | |
4547 | y[1] = pente->GetBinContent(binmin); | |
4548 | y[2] = pente->GetBinContent(binmin+1); | |
4549 | //Calcul the polynome de Lagrange | |
4550 | c = CalculPolynomeLagrange2(x,y); | |
4551 | //richtung +: nothing | |
4552 | //richtung -: nothing | |
4553 | } | |
4554 | //case binmin = nbins-1 | |
4555 | //pol2 case 0 | |
4556 | if((binmin == (nbins-1)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4557 | min = pente->GetBinCenter(binmin-2); | |
4558 | max = pente->GetBinCenter(binmin); | |
4559 | x[0] = pente->GetBinCenter(binmin-2); | |
4560 | x[1] = pente->GetBinCenter(binmin-1); | |
4561 | x[2] = pente->GetBinCenter(binmin); | |
4562 | y[0] = pente->GetBinContent(binmin-2); | |
4563 | y[1] = pente->GetBinContent(binmin-1); | |
4564 | y[2] = pente->GetBinContent(binmin); | |
4565 | //Calcul the polynome de Lagrange | |
4566 | c = CalculPolynomeLagrange2(x,y); | |
3a0f6479 | 4567 | //AliInfo("At the limit for the drift!"); |
55a288e5 | 4568 | //fluctuation too big! |
4569 | //richtung +: nothing | |
4570 | //richtung - | |
64942b85 | 4571 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4572 | //AliInfo("polynome 2- false "); | |
4573 | put = kFALSE; | |
4574 | } | |
55a288e5 | 4575 | } |
4576 | if((binmin == (nbins-1)) && ((binmin-2) < TMath::Min(binmax+4, projPH->GetNbinsX()))) { | |
4577 | put = kFALSE; | |
4578 | AliInfo("At the limit for the drift and not usable!"); | |
4579 | } | |
4580 | ||
4581 | //pass | |
4582 | if((binmin == (nbins-2)) && ((binmin-1) < TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4583 | put = kFALSE; | |
4584 | AliInfo("For the drift...problem!"); | |
4585 | } | |
55a288e5 | 4586 | //pass but should not happen |
64942b85 | 4587 | if((binmin <= (nbins-3)) && (binmin < TMath::Min(binmax+6, projPH->GetNbinsX()))){ |
55a288e5 | 4588 | put = kFALSE; |
4589 | AliInfo("For the drift...problem!"); | |
4590 | } | |
3a0f6479 | 4591 | |
55a288e5 | 4592 | if(put) { |
4593 | polynome = new TF1("pol","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",min,max); | |
4594 | polynome->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
55a288e5 | 4595 | //AliInfo(Form("GetMinimum of the function %f",polynome->GetMinimumX())); |
4596 | Double_t step = (max-min)/1000; | |
4597 | Double_t l = min; | |
4598 | Double_t minvalue = 0.0; | |
4599 | Double_t placeminimum = min; | |
4600 | for(Int_t o = 0; o < 1000; o++){ | |
4601 | if(o == 0) minvalue = polynome->Eval(l); | |
4602 | if(minvalue > (polynome->Eval(l))){ | |
4603 | minvalue = polynome->Eval(l); | |
4604 | placeminimum = l; | |
4605 | } | |
4606 | l += step; | |
4607 | } | |
4608 | fPhd[2] = placeminimum; | |
4609 | } | |
64942b85 | 4610 | //printf("La fin %d\n",((Int_t)(fPhd[2]*10.0))+2); |
4611 | if((((Int_t)(fPhd[2]*10.0))+2) >= projPH->GetNbinsX()) fPhd[2] = 0.0; | |
4612 | 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 | 4613 | |
413153cb | 4614 | Float_t fPhdt0 = 0.0; |
4615 | Float_t t0Shift = 0.0; | |
4616 | if(fTakeTheMaxPH) { | |
4617 | fPhdt0 = fPhd[1]; | |
4618 | t0Shift = fT0Shift1; | |
4619 | } | |
4620 | else { | |
4621 | fPhdt0 = fPhd[0]; | |
4622 | t0Shift = fT0Shift0; | |
4623 | } | |
55a288e5 | 4624 | |
4625 | if ((fPhd[2] > fPhd[0]) && | |
4626 | (fPhd[2] > fPhd[1]) && | |
4627 | (fPhd[1] > fPhd[0]) && | |
4628 | (put)) { | |
3a0f6479 | 4629 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
4630 | fNumberFitSuccess++; | |
55a288e5 | 4631 | if (fPhdt0 >= 0.0) { |
413153cb | 4632 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; |
3a0f6479 | 4633 | if (fCurrentCoef2[0] < -1.0) { |
64942b85 | 4634 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4635 | } |
4636 | } | |
4637 | else { | |
64942b85 | 4638 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4639 | } |
4640 | } | |
4641 | else { | |
64942b85 | 4642 | if((fPhd[1] > fPhd[0]) && |
4643 | (put)) { | |
4644 | if (fPhdt0 >= 0.0) { | |
4645 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; | |
4646 | if (fCurrentCoef2[0] < -1.0) { | |
4647 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
4648 | } | |
4649 | } | |
4650 | else { | |
4651 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
4652 | } | |
4653 | } | |
4654 | else{ | |
4655 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4656 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
4657 | //printf("Fit failed!\n"); | |
4658 | } | |
55a288e5 | 4659 | } |
4660 | ||
3a0f6479 | 4661 | if (fDebugLevel == 1) { |
55a288e5 | 4662 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
4663 | cpentei->cd(); | |
4664 | projPH->Draw(); | |
4665 | line->SetLineColor(2); | |
4666 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
4667 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
4668 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
4669 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
4670 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
4671 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 4672 | AliInfo(Form("fVriftCoef[3] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 4673 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
4674 | cpentei2->cd(); | |
4675 | pentea->Draw(); | |
4676 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
4677 | cpentei3->cd(); | |
4678 | pente->Draw(); | |
4679 | } | |
3a0f6479 | 4680 | else { |
1ca79a00 | 4681 | if(pentea) delete pentea; |
4682 | if(pente) delete pente; | |
4683 | if(polynome) delete polynome; | |
4684 | if(polynomea) delete polynomea; | |
4685 | if(polynomeb) delete polynomeb; | |
4686 | if(x) delete [] x; | |
4687 | if(y) delete [] y; | |
4688 | if(c) delete [] c; | |
4689 | if(line) delete line; | |
4690 | ||
55a288e5 | 4691 | } |
64942b85 | 4692 | |
4693 | //Provisoire | |
4694 | //if(fCurrentCoef[0] > 1.7) fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4695 | //if((fCurrentCoef2[0] > 2.6) || (fCurrentCoef2[0] < 2.1)) fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
3a0f6479 | 4696 | |
55a288e5 | 4697 | projPH->SetDirectory(0); |
4698 | ||
4699 | } | |
4700 | ||
4701 | //_____________________________________________________________________________ | |
4702 | void AliTRDCalibraFit::FitPH(TH1* projPH, Int_t idect) | |
4703 | { | |
4704 | // | |
4705 | // Fit methode for the drift velocity | |
4706 | // | |
4707 | ||
4708 | // Constants | |
4709 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
4710 | ||
4711 | // Some variables | |
4712 | TAxis *xpph = projPH->GetXaxis(); | |
4713 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
4714 | ||
4715 | TF1 *fPH = new TF1("fPH",AliTRDCalibraFit::PH,-0.05,3.2,6); | |
4716 | fPH->SetParameter(0,0.469); // Scaling | |
4717 | fPH->SetParameter(1,0.18); // Start | |
4718 | fPH->SetParameter(2,0.0857325); // AR | |
4719 | fPH->SetParameter(3,1.89); // DR | |
4720 | fPH->SetParameter(4,0.08); // QA/QD | |
4721 | fPH->SetParameter(5,0.0); // Baseline | |
4722 | ||
4723 | TLine *line = new TLine(); | |
4724 | ||
3a0f6479 | 4725 | fCurrentCoef[0] = 0.0; |
4726 | fCurrentCoef2[0] = 0.0; | |
4727 | fCurrentCoefE = 0.0; | |
4728 | fCurrentCoefE2 = 0.0; | |
55a288e5 | 4729 | |
4730 | if (idect%fFitPHPeriode == 0) { | |
4731 | ||
3a0f6479 | 4732 | AliInfo(Form("The detector %d will be fitted",idect)); |
55a288e5 | 4733 | fPH->SetParameter(0,(projPH->Integral()-(projPH->GetBinContent(1)*projPH->GetNbinsX())) * 0.00028); // Scaling |
4734 | fPH->SetParameter(1,fPhd[0] - 0.1); // Start | |
4735 | fPH->SetParameter(2,fPhd[1] - fPhd[0]); // AR | |
4736 | fPH->SetParameter(3,fPhd[2] - fPhd[1]); // DR | |
4737 | fPH->SetParameter(4,0.225); // QA/QD | |
4738 | fPH->SetParameter(5,(Float_t) projPH->GetBinContent(1)); | |
4739 | ||
3a0f6479 | 4740 | if (fDebugLevel != 1) { |
55a288e5 | 4741 | projPH->Fit(fPH,"0M","",0.0,upedge); |
4742 | } | |
3a0f6479 | 4743 | else { |
55a288e5 | 4744 | TCanvas *cpente = new TCanvas("cpente","cpente",50,50,600,800); |
4745 | cpente->cd(); | |
4746 | projPH->Fit(fPH,"M+","",0.0,upedge); | |
4747 | projPH->Draw("E0"); | |
4748 | line->SetLineColor(4); | |
4749 | line->DrawLine(fPH->GetParameter(1) | |
4750 | ,0 | |
4751 | ,fPH->GetParameter(1) | |
4752 | ,projPH->GetMaximum()); | |
4753 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2) | |
4754 | ,0 | |
4755 | ,fPH->GetParameter(1)+fPH->GetParameter(2) | |
4756 | ,projPH->GetMaximum()); | |
4757 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
4758 | ,0 | |
4759 | ,fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
4760 | ,projPH->GetMaximum()); | |
4761 | } | |
4762 | ||
4763 | if (fPH->GetParameter(3) != 0) { | |
3a0f6479 | 4764 | fNumberFitSuccess++; |
4765 | fCurrentCoef[0] = kDrWidth / (fPH->GetParameter(3)); | |
4766 | fCurrentCoefE = (fPH->GetParError(3)/fPH->GetParameter(3))*fCurrentCoef[0]; | |
4767 | fCurrentCoef2[0] = fPH->GetParameter(1); | |
4768 | fCurrentCoefE2 = fPH->GetParError(1); | |
55a288e5 | 4769 | } |
4770 | else { | |
3a0f6479 | 4771 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
64942b85 | 4772 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4773 | } |
3a0f6479 | 4774 | |
55a288e5 | 4775 | } |
55a288e5 | 4776 | else { |
4777 | ||
3a0f6479 | 4778 | // Put the default value |
4779 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
64942b85 | 4780 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4781 | } |
4782 | ||
3a0f6479 | 4783 | if (fDebugLevel != 1) { |
55a288e5 | 4784 | delete fPH; |
4785 | } | |
4786 | ||
4787 | } | |
55a288e5 | 4788 | //_____________________________________________________________________________ |
3a0f6479 | 4789 | Bool_t AliTRDCalibraFit::FitPRFGausMI(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nBins, Float_t xMin, Float_t xMax) |
55a288e5 | 4790 | { |
4791 | // | |
4792 | // Fit methode for the sigma of the pad response function | |
4793 | // | |
3a0f6479 | 4794 | |
4795 | TVectorD param(3); | |
55a288e5 | 4796 | |
3a0f6479 | 4797 | fCurrentCoef[0] = 0.0; |
4798 | fCurrentCoefE = 0.0; | |
4799 | ||
4800 | Double_t ret = FitGausMI(arraye, arraym, arrayme, nBins, xMin, xMax,¶m); | |
4801 | ||
4802 | if(ret == -4){ | |
4803 | fCurrentCoef[0] = -fCurrentCoef[1]; | |
4804 | return kFALSE; | |
4805 | } | |
4806 | else { | |
4807 | fNumberFitSuccess++; | |
4808 | fCurrentCoef[0] = param[2]; | |
4809 | fCurrentCoefE = ret; | |
4810 | return kTRUE; | |
4811 | } | |
4812 | } | |
4813 | //_____________________________________________________________________________ | |
7bce990c | 4814 | 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 | 4815 | { |
4816 | // | |
4817 | // Fit methode for the sigma of the pad response function | |
4818 | // | |
4819 | ||
4820 | //We should have at least 3 points | |
4821 | if(nBins <=3) return -4.0; | |
4822 | ||
4823 | TLinearFitter fitter(3,"pol2"); | |
4824 | fitter.StoreData(kFALSE); | |
4825 | fitter.ClearPoints(); | |
4826 | TVectorD par(3); | |
4827 | Float_t binWidth = (xMax-xMin)/(Float_t)nBins; | |
4828 | Float_t entries = 0; | |
4829 | Int_t nbbinwithentries = 0; | |
4830 | for (Int_t i=0; i<nBins; i++){ | |
4831 | entries+=arraye[i]; | |
4832 | if(arraye[i] > 15) nbbinwithentries++; | |
4833 | //printf("entries for i %d: %f\n",i,arraye[i]); | |
4834 | } | |
4835 | if ((entries<700) || (nbbinwithentries < ((Int_t)(nBins/2)))) return -4; | |
4836 | //printf("entries %f\n",entries); | |
4837 | //printf("nbbinwithentries %d\n",nbbinwithentries); | |
4838 | ||
4839 | Int_t npoints=0; | |
4840 | Float_t errorm = 0.0; | |
4841 | Float_t errorn = 0.0; | |
4842 | Float_t error = 0.0; | |
4843 | ||
4844 | // | |
4845 | for (Int_t ibin=0;ibin<nBins; ibin++){ | |
4846 | Float_t entriesI = arraye[ibin]; | |
4847 | Float_t valueI = arraym[ibin]; | |
4848 | Double_t xcenter = 0.0; | |
4849 | Float_t val = 0.0; | |
4850 | if ((entriesI>15) && (valueI>0.0)){ | |
4851 | xcenter = xMin+(ibin+0.5)*binWidth; | |
4852 | errorm = 0.0; | |
4853 | errorn = 0.0; | |
4854 | error = 0.0; | |
7bce990c | 4855 | if(!bError){ |
3a0f6479 | 4856 | if((valueI + 0.01) > 0.0) errorm = TMath::Log((valueI + 0.01)/valueI); |
4857 | if((valueI - 0.01) > 0.0) errorn = TMath::Log((valueI - 0.01)/valueI); | |
4858 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
4859 | } | |
4860 | else{ | |
4861 | if((valueI + arrayme[ibin]) > 0.0) errorm = TMath::Log((valueI + arrayme[ibin])/valueI); | |
4862 | if((valueI - arrayme[ibin]) > 0.0) errorn = TMath::Log((valueI - arrayme[ibin])/valueI); | |
4863 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
4864 | } | |
4865 | if(error == 0.0) continue; | |
4866 | val = TMath::Log(Float_t(valueI)); | |
4867 | fitter.AddPoint(&xcenter,val,error); | |
4868 | npoints++; | |
4869 | } | |
4870 | ||
4871 | if(fDebugLevel > 1){ | |
55a288e5 | 4872 | |
3a0f6479 | 4873 | if ( !fDebugStreamer ) { |
4874 | //debug stream | |
4875 | TDirectory *backup = gDirectory; | |
4aad967c | 4876 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 4877 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
4878 | } | |
4879 | ||
4880 | Int_t detector = fCountDet; | |
053767a4 | 4881 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 4882 | Int_t group = ibin; |
4883 | ||
4884 | (* fDebugStreamer) << "FitGausMIFill"<< | |
4885 | "detector="<<detector<< | |
053767a4 | 4886 | "layer="<<layer<< |
3a0f6479 | 4887 | "nbins="<<nBins<< |
4888 | "group="<<group<< | |
4889 | "entriesI="<<entriesI<< | |
4890 | "valueI="<<valueI<< | |
4891 | "val="<<val<< | |
4892 | "xcenter="<<xcenter<< | |
4893 | "errorm="<<errorm<< | |
4894 | "errorn="<<errorn<< | |
4895 | "error="<<error<< | |
7bce990c | 4896 | "bError="<<bError<< |
3a0f6479 | 4897 | "\n"; |
4898 | } | |
4899 | ||
4900 | } | |
4901 | ||
4902 | if(npoints <=3) return -4.0; | |
4903 | ||
4904 | Double_t chi2 = 0; | |
4905 | if (npoints>3){ | |
4906 | fitter.Eval(); | |
4907 | fitter.GetParameters(par); | |
4908 | chi2 = fitter.GetChisquare()/Float_t(npoints); | |
55a288e5 | 4909 | |
3a0f6479 | 4910 | |
4911 | if (!param) param = new TVectorD(3); | |
4912 | if(par[2] == 0.0) return -4.0; | |
4913 | Double_t x = TMath::Sqrt(TMath::Abs(-2*par[2])); | |
4914 | Double_t deltax = (fitter.GetParError(2))/x; | |
4915 | Double_t errorparam2 = TMath::Abs(deltax)/(x*x); | |
4916 | chi2 = errorparam2; | |
55a288e5 | 4917 | |
3a0f6479 | 4918 | (*param)[1] = par[1]/(-2.*par[2]); |
4919 | (*param)[2] = 1./TMath::Sqrt(TMath::Abs(-2.*par[2])); | |
4920 | Double_t lnparam0 = par[0]+ par[1]* (*param)[1] + par[2]*(*param)[1]*(*param)[1]; | |
4921 | if ( lnparam0>307 ) return -4; | |
4922 | (*param)[0] = TMath::Exp(lnparam0); | |
4923 | ||
4924 | if(fDebugLevel > 1){ | |
4925 | ||
4926 | if ( !fDebugStreamer ) { | |
4927 | //debug stream | |
4928 | TDirectory *backup = gDirectory; | |
4aad967c | 4929 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 4930 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
4931 | } | |
4932 | ||
4933 | Int_t detector = fCountDet; | |
053767a4 | 4934 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 4935 | |
4936 | ||
4937 | (* fDebugStreamer) << "FitGausMIFit"<< | |
4938 | "detector="<<detector<< | |
053767a4 | 4939 | "layer="<<layer<< |
3a0f6479 | 4940 | "nbins="<<nBins<< |
4941 | "errorsigma="<<chi2<< | |
4942 | "mean="<<(*param)[1]<< | |
4943 | "sigma="<<(*param)[2]<< | |
4944 | "constant="<<(*param)[0]<< | |
4945 | "\n"; | |
4946 | } | |
4947 | } | |
4948 | ||
4949 | if((chi2/(*param)[2]) > 0.1){ | |
7bce990c | 4950 | if(bError){ |
3a0f6479 | 4951 | chi2 = FitGausMI(arraye,arraym,arrayme,nBins,xMin,xMax,param,kFALSE); |
4952 | } | |
4953 | else return -4.0; | |
55a288e5 | 4954 | } |
3a0f6479 | 4955 | |
4956 | if(fDebugLevel == 1){ | |
4957 | TString name("PRF"); | |
4958 | name += (Int_t)xMin; | |
4959 | name += (Int_t)xMax; | |
4960 | TCanvas *c1 = new TCanvas((const char *)name,(const char *)name,50,50,600,800); | |
4961 | c1->cd(); | |
4962 | name += "histo"; | |
4963 | TH1F *histo = new TH1F((const char *)name,(const char *)name,nBins,xMin,xMax); | |
4964 | for(Int_t k = 0; k < nBins; k++){ | |
4965 | histo->SetBinContent(k+1,arraym[k]); | |
4966 | histo->SetBinError(k+1,arrayme[k]); | |
4967 | } | |
4968 | histo->Draw(); | |
4969 | name += "functionf"; | |
4970 | TF1 *f1= new TF1((const char*)name,"[0]*exp(-(x-[1])^2/(2*[2]*[2]))",xMin,xMax); | |
4971 | f1->SetParameter(0, (*param)[0]); | |
4972 | f1->SetParameter(1, (*param)[1]); | |
4973 | f1->SetParameter(2, (*param)[2]); | |
4974 | f1->Draw("same"); | |
4975 | } | |
4976 | ||
4977 | ||
4978 | return chi2; | |
4979 | ||
4980 | } | |
4981 | //_____________________________________________________________________________ | |
4982 | void AliTRDCalibraFit::FitPRF(TH1 *projPRF) | |
4983 | { | |
4984 | // | |
4985 | // Fit methode for the sigma of the pad response function | |
4986 | // | |
55a288e5 | 4987 | |
3a0f6479 | 4988 | fCurrentCoef[0] = 0.0; |
4989 | fCurrentCoefE = 0.0; | |
4990 | ||
4991 | if (fDebugLevel != 1) { | |
4992 | projPRF->Fit("gaus","0M","",-fRangeFitPRF,fRangeFitPRF); | |
4993 | } | |
4994 | else { | |
55a288e5 | 4995 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); |
4996 | cfit->cd(); | |
4997 | projPRF->Fit("gaus","M+","",-fRangeFitPRF,fRangeFitPRF); | |
4998 | projPRF->Draw(); | |
55a288e5 | 4999 | } |
3a0f6479 | 5000 | fCurrentCoef[0] = projPRF->GetFunction("gaus")->GetParameter(2); |
5001 | fCurrentCoefE = projPRF->GetFunction("gaus")->GetParError(2); | |
5002 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
55a288e5 | 5003 | else { |
3a0f6479 | 5004 | fNumberFitSuccess++; |
55a288e5 | 5005 | } |
3a0f6479 | 5006 | } |
5007 | //_____________________________________________________________________________ | |
5008 | void AliTRDCalibraFit::RmsPRF(TH1 *projPRF) | |
5009 | { | |
5010 | // | |
5011 | // Fit methode for the sigma of the pad response function | |
5012 | // | |
5013 | fCurrentCoef[0] = 0.0; | |
5014 | fCurrentCoefE = 0.0; | |
5015 | if (fDebugLevel == 1) { | |
5016 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); | |
5017 | cfit->cd(); | |
5018 | projPRF->Draw(); | |
55a288e5 | 5019 | } |
3a0f6479 | 5020 | fCurrentCoef[0] = projPRF->GetRMS(); |
5021 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
5022 | else { | |
5023 | fNumberFitSuccess++; | |
55a288e5 | 5024 | } |
55a288e5 | 5025 | } |
55a288e5 | 5026 | //_____________________________________________________________________________ |
3a0f6479 | 5027 | void AliTRDCalibraFit::FitTnpRange(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nbg, Int_t nybins) |
55a288e5 | 5028 | { |
5029 | // | |
3a0f6479 | 5030 | // Fit methode for the sigma of the pad response function with 2*nbg tan bins |
55a288e5 | 5031 | // |
5032 | ||
3a0f6479 | 5033 | TLinearFitter linearfitter = TLinearFitter(3,"pol2"); |
55a288e5 | 5034 | |
55a288e5 | 5035 | |
3a0f6479 | 5036 | Int_t nbins = (Int_t)(nybins/(2*nbg)); |
5037 | Float_t lowedge = -3.0*nbg; | |
5038 | Float_t upedge = lowedge + 3.0; | |
5039 | Int_t offset = 0; | |
5040 | Int_t npoints = 0; | |
5041 | Double_t xvalues = -0.2*nbg+0.1; | |
5042 | Double_t y = 0.0; | |
5043 | Int_t total = 2*nbg; | |
55a288e5 | 5044 | |
3a0f6479 | 5045 | |
5046 | for(Int_t k = 0; k < total; k++){ | |
5047 | if(FitPRFGausMI(arraye+offset, arraym+offset, arrayme+offset, nbins, lowedge, upedge)){ | |
5048 | npoints++; | |
5049 | y = fCurrentCoef[0]*fCurrentCoef[0]; | |
5050 | linearfitter.AddPoint(&xvalues,y,2*fCurrentCoefE*fCurrentCoef[0]); | |
5051 | } | |
5052 | ||
5053 | if(fDebugLevel > 1){ | |
5054 | ||
5055 | if ( !fDebugStreamer ) { | |
5056 | //debug stream | |
5057 | TDirectory *backup = gDirectory; | |
4aad967c | 5058 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5059 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5060 | } | |
5061 | ||
5062 | Int_t detector = fCountDet; | |
053767a4 | 5063 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5064 | Int_t nbtotal = total; |
5065 | Int_t group = k; | |
5066 | Float_t low = lowedge; | |
5067 | Float_t up = upedge; | |
5068 | Float_t tnp = xvalues; | |
5069 | Float_t wid = fCurrentCoef[0]; | |
5070 | Float_t widfE = fCurrentCoefE; | |
5071 | ||
413153cb | 5072 | (* fDebugStreamer) << "FitTnpRange0"<< |
3a0f6479 | 5073 | "detector="<<detector<< |
053767a4 | 5074 | "layer="<<layer<< |
3a0f6479 | 5075 | "nbtotal="<<nbtotal<< |
5076 | "group="<<group<< | |
5077 | "low="<<low<< | |
5078 | "up="<<up<< | |
5079 | "offset="<<offset<< | |
5080 | "tnp="<<tnp<< | |
5081 | "wid="<<wid<< | |
5082 | "widfE="<<widfE<< | |
5083 | "\n"; | |
5084 | } | |
5085 | ||
5086 | offset += nbins; | |
5087 | lowedge += 3.0; | |
5088 | upedge += 3.0; | |
5089 | xvalues += 0.2; | |
5090 | ||
5091 | } | |
5092 | ||
5093 | fCurrentCoefE = 0.0; | |
5094 | fCurrentCoef[0] = 0.0; | |
5095 | ||
5096 | //printf("npoints\n",npoints); | |
5097 | ||
5098 | if(npoints < 3){ | |
5099 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5100 | } | |
5101 | else{ | |
5102 | ||
5103 | TVectorD pars0; | |
5104 | linearfitter.Eval(); | |
5105 | linearfitter.GetParameters(pars0); | |
5106 | Double_t pointError0 = TMath::Sqrt(linearfitter.GetChisquare()/npoints); | |
5107 | Double_t errorsx0 = linearfitter.GetParError(2)*pointError0; | |
5108 | Double_t min0 = 0.0; | |
5109 | Double_t ermin0 = 0.0; | |
5110 | //Double_t prfe0 = 0.0; | |
5111 | Double_t prf0 = 0.0; | |
5112 | if((pars0[2] > 0.0) && (pars0[1] != 0.0)) { | |
5113 | min0 = -pars0[1]/(2*pars0[2]); | |
5114 | ermin0 = TMath::Abs(min0*(errorsx0/pars0[2]+linearfitter.GetParError(1)*pointError0/pars0[1])); | |
5115 | prf0 = pars0[0]+pars0[1]*min0+pars0[2]*min0*min0; | |
5116 | if(prf0 > 0.0) { | |
5117 | /* | |
5118 | prfe0 = linearfitter->GetParError(0)*pointError0 | |
5119 | +(linearfitter->GetParError(1)*pointError0/pars0[1]+ermin0/min0)*pars0[1]*min0 | |
5120 | +(linearfitter->GetParError(2)*pointError0/pars0[2]+2*ermin0/min0)*pars0[2]*min0*min0; | |
5121 | prfe0 = prfe0/(2*TMath::Sqrt(prf0)); | |
5122 | fCurrentCoefE = (Float_t) prfe0; | |
5123 | */ | |
5124 | fCurrentCoef[0] = (Float_t) TMath::Sqrt(TMath::Abs(prf0)); | |
5125 | } | |
5126 | else{ | |
5127 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5128 | } | |
5129 | } | |
5130 | else { | |
5131 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5132 | } | |
55a288e5 | 5133 | |
3a0f6479 | 5134 | if(fDebugLevel > 1){ |
5135 | ||
5136 | if ( !fDebugStreamer ) { | |
5137 | //debug stream | |
5138 | TDirectory *backup = gDirectory; | |
4aad967c | 5139 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5140 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5141 | } | |
5142 | ||
5143 | Int_t detector = fCountDet; | |
053767a4 | 5144 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5145 | Int_t nbtotal = total; |
5146 | Double_t colsize[6] = {0.635,0.665,0.695,0.725,0.755,0.785}; | |
053767a4 | 5147 | Double_t sigmax = TMath::Sqrt(TMath::Abs(pars0[2]))*10000*colsize[layer]; |
3a0f6479 | 5148 | |
413153cb | 5149 | (* fDebugStreamer) << "FitTnpRange1"<< |
3a0f6479 | 5150 | "detector="<<detector<< |
053767a4 | 5151 | "layer="<<layer<< |
3a0f6479 | 5152 | "nbtotal="<<nbtotal<< |
5153 | "par0="<<pars0[0]<< | |
5154 | "par1="<<pars0[1]<< | |
5155 | "par2="<<pars0[2]<< | |
5156 | "npoints="<<npoints<< | |
5157 | "sigmax="<<sigmax<< | |
5158 | "tan="<<min0<< | |
5159 | "sigmaprf="<<fCurrentCoef[0]<< | |
5160 | "sigprf="<<fCurrentCoef[1]<< | |
5161 | "\n"; | |
5162 | } | |
5163 | ||
55a288e5 | 5164 | } |
5165 | ||
5166 | } | |
55a288e5 | 5167 | //_____________________________________________________________________________ |
3a0f6479 | 5168 | void AliTRDCalibraFit::FitMean(TH1 *projch, Double_t nentries, Double_t mean) |
55a288e5 | 5169 | { |
5170 | // | |
5171 | // Only mean methode for the gain factor | |
5172 | // | |
5173 | ||
3a0f6479 | 5174 | fCurrentCoef[0] = mean; |
5175 | fCurrentCoefE = 0.0; | |
5176 | if(nentries > 0) fCurrentCoefE = projch->GetRMS()/TMath::Sqrt(nentries); | |
5177 | if (fDebugLevel == 1) { | |
55a288e5 | 5178 | TCanvas *cpmean = new TCanvas("cpmean","cpmean",50,50,600,800); |
5179 | cpmean->cd(); | |
5180 | projch->Draw(); | |
5181 | } | |
3a0f6479 | 5182 | CalculChargeCoefMean(kTRUE); |
5183 | fNumberFitSuccess++; | |
55a288e5 | 5184 | } |
55a288e5 | 5185 | //_____________________________________________________________________________ |
3a0f6479 | 5186 | void AliTRDCalibraFit::FitMeanW(TH1 *projch, Double_t nentries) |
55a288e5 | 5187 | { |
5188 | // | |
5189 | // mean w methode for the gain factor | |
5190 | // | |
5191 | ||
5192 | //Number of bins | |
5193 | Int_t nybins = projch->GetNbinsX(); | |
5194 | ||
5195 | //The weight function | |
5196 | Double_t a = 0.00228515; | |
5197 | Double_t b = -0.00231487; | |
5198 | Double_t c = 0.00044298; | |
5199 | Double_t d = -0.00379239; | |
5200 | Double_t e = 0.00338349; | |
5201 | ||
3a0f6479 | 5202 | // 0 |0.00228515 |
5203 | // 1 |-0.00231487 | |
5204 | // 2 |0.00044298 | |
5205 | // 3 |-0.00379239 | |
5206 | // 4 |0.00338349 | |
5207 | ||
5208 | ||
55a288e5 | 5209 | |
5210 | //A arbitrary error for the moment | |
3a0f6479 | 5211 | fCurrentCoefE = 0.0; |
5212 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 5213 | |
5214 | //Calcul | |
5215 | Double_t sumw = 0.0; | |
5216 | Double_t sum = 0.0; | |
3a0f6479 | 5217 | Float_t sumAll = (Float_t) nentries; |
55a288e5 | 5218 | Int_t sumCurrent = 0; |
5219 | for(Int_t k = 0; k <nybins; k++){ | |
5220 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
5221 | if (fraction>0.95) break; | |
5222 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
5223 | e*fraction*fraction*fraction*fraction; | |
5224 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
5225 | sum += weight*projch->GetBinContent(k+1); | |
5226 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
5227 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
5228 | } | |
3a0f6479 | 5229 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 5230 | |
3a0f6479 | 5231 | if (fDebugLevel == 1) { |
55a288e5 | 5232 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); |
5233 | cpmeanw->cd(); | |
5234 | projch->Draw(); | |
5235 | } | |
3a0f6479 | 5236 | fNumberFitSuccess++; |
5237 | CalculChargeCoefMean(kTRUE); | |
5238 | } | |
5239 | //_____________________________________________________________________________ | |
5240 | void AliTRDCalibraFit::FitMeanWSm(TH1 *projch, Float_t sumAll) | |
5241 | { | |
5242 | // | |
5243 | // mean w methode for the gain factor | |
5244 | // | |
5245 | ||
5246 | //Number of bins | |
5247 | Int_t nybins = projch->GetNbinsX(); | |
5248 | ||
5249 | //The weight function | |
5250 | Double_t a = 0.00228515; | |
5251 | Double_t b = -0.00231487; | |
5252 | Double_t c = 0.00044298; | |
5253 | Double_t d = -0.00379239; | |
5254 | Double_t e = 0.00338349; | |
5255 | ||
5256 | // 0 |0.00228515 | |
5257 | // 1 |-0.00231487 | |
5258 | // 2 |0.00044298 | |
5259 | // 3 |-0.00379239 | |
5260 | // 4 |0.00338349 | |
5261 | ||
5262 | ||
5263 | ||
5264 | //A arbitrary error for the moment | |
5265 | fCurrentCoefE = 0.0; | |
5266 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 5267 | |
3a0f6479 | 5268 | //Calcul |
5269 | Double_t sumw = 0.0; | |
5270 | Double_t sum = 0.0; | |
5271 | Int_t sumCurrent = 0; | |
5272 | for(Int_t k = 0; k <nybins; k++){ | |
5273 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
5274 | if (fraction>0.95) break; | |
5275 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
5276 | e*fraction*fraction*fraction*fraction; | |
5277 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
5278 | sum += weight*projch->GetBinContent(k+1); | |
5279 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
5280 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
55a288e5 | 5281 | } |
3a0f6479 | 5282 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 5283 | |
3a0f6479 | 5284 | if (fDebugLevel == 1) { |
5285 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); | |
5286 | cpmeanw->cd(); | |
5287 | projch->Draw(); | |
5288 | } | |
5289 | fNumberFitSuccess++; | |
55a288e5 | 5290 | } |
55a288e5 | 5291 | //_____________________________________________________________________________ |
3a0f6479 | 5292 | void AliTRDCalibraFit::FitCH(TH1 *projch, Double_t mean) |
55a288e5 | 5293 | { |
5294 | // | |
5295 | // Fit methode for the gain factor | |
5296 | // | |
5297 | ||
3a0f6479 | 5298 | fCurrentCoef[0] = 0.0; |
5299 | fCurrentCoefE = 0.0; | |
55a288e5 | 5300 | Double_t chisqrl = 0.0; |
5301 | Double_t chisqrg = 0.0; | |
3a0f6479 | 5302 | Double_t chisqr = 0.0; |
55a288e5 | 5303 | TF1 *fLandauGaus = new TF1("fLandauGaus",FuncLandauGaus,0,300,5); |
5304 | ||
5305 | projch->Fit("landau","0","" | |
3a0f6479 | 5306 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5307 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5308 | Double_t l3P0 = projch->GetFunction("landau")->GetParameter(0); | |
5309 | Double_t l3P1 = projch->GetFunction("landau")->GetParameter(1); | |
5310 | Double_t l3P2 = projch->GetFunction("landau")->GetParameter(2); | |
5311 | chisqrl = projch->GetFunction("landau")->GetChisquare(); | |
5312 | ||
5313 | projch->Fit("gaus","0","" | |
3a0f6479 | 5314 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5315 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5316 | Double_t g3P0 = projch->GetFunction("gaus")->GetParameter(0); | |
5317 | Double_t g3P2 = projch->GetFunction("gaus")->GetParameter(2); | |
5318 | chisqrg = projch->GetFunction("gaus")->GetChisquare(); | |
5319 | ||
5320 | fLandauGaus->SetParameters(l3P0,l3P1,l3P2,g3P0,g3P2); | |
3a0f6479 | 5321 | if (fDebugLevel != 1) { |
55a288e5 | 5322 | projch->Fit("fLandauGaus","0","" |
3a0f6479 | 5323 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5324 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5325 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
3a0f6479 | 5326 | } |
5327 | else { | |
55a288e5 | 5328 | TCanvas *cp = new TCanvas("cp","cp",50,50,600,800); |
5329 | cp->cd(); | |
5330 | projch->Fit("fLandauGaus","+","" | |
3a0f6479 | 5331 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5332 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5333 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
5334 | projch->Draw(); | |
5335 | fLandauGaus->Draw("same"); | |
5336 | } | |
5337 | ||
3a0f6479 | 5338 | if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (projch->GetFunction("fLandauGaus")->GetParError(1) < (0.05*projch->GetFunction("fLandauGaus")->GetParameter(1))) && (chisqr < chisqrl) && (chisqr < chisqrg)) { |
5339 | //if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (chisqr < chisqrl) && (chisqr < chisqrg)) { | |
5340 | fNumberFitSuccess++; | |
5341 | CalculChargeCoefMean(kTRUE); | |
5342 | fCurrentCoef[0] = projch->GetFunction("fLandauGaus")->GetParameter(1); | |
5343 | fCurrentCoefE = projch->GetFunction("fLandauGaus")->GetParError(1); | |
55a288e5 | 5344 | } |
5345 | else { | |
3a0f6479 | 5346 | CalculChargeCoefMean(kFALSE); |
5347 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 5348 | } |
5349 | ||
3a0f6479 | 5350 | if (fDebugLevel != 1) { |
55a288e5 | 5351 | delete fLandauGaus; |
5352 | } | |
5353 | ||
5354 | } | |
55a288e5 | 5355 | //_____________________________________________________________________________ |
3a0f6479 | 5356 | void AliTRDCalibraFit::FitBisCH(TH1* projch, Double_t mean) |
55a288e5 | 5357 | { |
5358 | // | |
5359 | // Fit methode for the gain factor more time consuming | |
5360 | // | |
5361 | ||
3a0f6479 | 5362 | |
55a288e5 | 5363 | //Some parameters to initialise |
e6381f8e | 5364 | Double_t widthLandau, widthGaus, mPV, integral; |
55a288e5 | 5365 | Double_t chisquarel = 0.0; |
5366 | Double_t chisquareg = 0.0; | |
55a288e5 | 5367 | projch->Fit("landau","0M+","" |
3a0f6479 | 5368 | ,(Double_t) mean/6 |
55a288e5 | 5369 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5370 | widthLandau = projch->GetFunction("landau")->GetParameter(2); | |
5371 | chisquarel = projch->GetFunction("landau")->GetChisquare(); | |
55a288e5 | 5372 | projch->Fit("gaus","0M+","" |
3a0f6479 | 5373 | ,(Double_t) mean/6 |
55a288e5 | 5374 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5375 | widthGaus = projch->GetFunction("gaus")->GetParameter(2); | |
5376 | chisquareg = projch->GetFunction("gaus")->GetChisquare(); | |
3a0f6479 | 5377 | |
e6381f8e | 5378 | mPV = (projch->GetFunction("landau")->GetParameter(1))/2; |
5379 | integral = (projch->GetFunction("gaus")->Integral(0.3*mean,3*mean)+projch->GetFunction("landau")->Integral(0.3*mean,3*mean))/2; | |
3a0f6479 | 5380 | |
55a288e5 | 5381 | // Setting fit range and start values |
5382 | Double_t fr[2]; | |
5383 | //Double_t sv[4] = { l3P2, fChargeCoef[1], projch->Integral("width"), fG3P2 }; | |
5384 | //Double_t sv[4] = { fL3P2, fChargeCoef[1], fL3P0, fG3P2 }; | |
e6381f8e | 5385 | Double_t sv[4] = { widthLandau, mPV, integral, widthGaus}; |
55a288e5 | 5386 | Double_t pllo[4] = { 0.001, 0.001, projch->Integral()/3, 0.001}; |
5387 | Double_t plhi[4] = { 300.0, 300.0, 30*projch->Integral(), 300.0}; | |
5388 | Double_t fp[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
5389 | Double_t fpe[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
3a0f6479 | 5390 | fr[0] = 0.3 * mean; |
5391 | fr[1] = 3.0 * mean; | |
5392 | fCurrentCoef[0] = 0.0; | |
5393 | fCurrentCoefE = 0.0; | |
55a288e5 | 5394 | |
5395 | Double_t chisqr; | |
5396 | Int_t ndf; | |
5397 | TF1 *fitsnr = LanGauFit(projch,&fr[0],&sv[0] | |
5398 | ,&pllo[0],&plhi[0] | |
5399 | ,&fp[0],&fpe[0] | |
5400 | ,&chisqr,&ndf); | |
5401 | ||
5402 | Double_t projchPeak; | |
5403 | Double_t projchFWHM; | |
5404 | LanGauPro(fp,projchPeak,projchFWHM); | |
5405 | ||
5406 | if ((fp[1] > 0) && ((fpe[1] < (0.05*fp[1])) && (chisqr < chisquarel) && (chisqr < chisquareg))) { | |
5407 | //if ((fp[1] > 0) && ((chisqr < chisquarel) && (chisqr < chisquareg))) { | |
3a0f6479 | 5408 | fNumberFitSuccess++; |
5409 | CalculChargeCoefMean(kTRUE); | |
5410 | fCurrentCoef[0] = fp[1]; | |
5411 | fCurrentCoefE = fpe[1]; | |
55a288e5 | 5412 | //chargeCoefE2 = chisqr; |
5413 | } | |
5414 | else { | |
3a0f6479 | 5415 | CalculChargeCoefMean(kFALSE); |
5416 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 5417 | } |
3a0f6479 | 5418 | if (fDebugLevel == 1) { |
5419 | AliInfo(Form("fChargeCoef[0]: %f",(Float_t) fCurrentCoef[0])); | |
55a288e5 | 5420 | TCanvas *cpy = new TCanvas("cpy","cpy",50,50,600,800); |
5421 | cpy->cd(); | |
5422 | projch->Draw(); | |
5423 | fitsnr->Draw("same"); | |
5424 | } | |
3a0f6479 | 5425 | else { |
55a288e5 | 5426 | delete fitsnr; |
5427 | } | |
3a0f6479 | 5428 | } |
55a288e5 | 5429 | //_____________________________________________________________________________ |
979b168f | 5430 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange2(const Double_t *x, const Double_t *y) const |
55a288e5 | 5431 | { |
5432 | // | |
5433 | // Calcul the coefficients of the polynome passant par ces trois points de degre 2 | |
5434 | // | |
3a0f6479 | 5435 | Double_t *c = new Double_t[5]; |
55a288e5 | 5436 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])); |
5437 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])); | |
5438 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])); | |
5439 | ||
5440 | c[4] = 0.0; | |
5441 | c[3] = 0.0; | |
5442 | c[2] = x0+x1+x2; | |
5443 | c[1] = -(x0*(x[1]+x[2])+x1*(x[0]+x[2])+x2*(x[0]+x[1])); | |
5444 | c[0] = x0*x[1]*x[2]+x1*x[0]*x[2]+x2*x[0]*x[1]; | |
5445 | ||
5446 | return c; | |
5447 | ||
3a0f6479 | 5448 | |
55a288e5 | 5449 | } |
5450 | ||
5451 | //_____________________________________________________________________________ | |
979b168f | 5452 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange3(const Double_t *x, const Double_t *y) const |
55a288e5 | 5453 | { |
5454 | // | |
5455 | // Calcul the coefficients of the polynome passant par ces quatre points de degre 3 | |
5456 | // | |
55a288e5 | 5457 | Double_t *c = new Double_t[5]; |
5458 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])); | |
5459 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])); | |
5460 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])); | |
5461 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])); | |
5462 | ||
5463 | c[4] = 0.0; | |
5464 | c[3] = x0+x1+x2+x3; | |
5465 | c[2] = -(x0*(x[1]+x[2]+x[3]) | |
5466 | +x1*(x[0]+x[2]+x[3]) | |
5467 | +x2*(x[0]+x[1]+x[3]) | |
5468 | +x3*(x[0]+x[1]+x[2])); | |
5469 | c[1] = (x0*(x[1]*x[2]+x[1]*x[3]+x[2]*x[3]) | |
5470 | +x1*(x[0]*x[2]+x[0]*x[3]+x[2]*x[3]) | |
5471 | +x2*(x[0]*x[1]+x[0]*x[3]+x[1]*x[3]) | |
5472 | +x3*(x[0]*x[1]+x[0]*x[2]+x[1]*x[2])); | |
5473 | ||
5474 | c[0] = -(x0*x[1]*x[2]*x[3] | |
5475 | +x1*x[0]*x[2]*x[3] | |
5476 | +x2*x[0]*x[1]*x[3] | |
5477 | +x3*x[0]*x[1]*x[2]); | |
5478 | ||
3a0f6479 | 5479 | |
55a288e5 | 5480 | return c; |
3a0f6479 | 5481 | |
55a288e5 | 5482 | |
5483 | } | |
5484 | ||
5485 | //_____________________________________________________________________________ | |
979b168f | 5486 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange4(const Double_t *x, const Double_t *y) const |
55a288e5 | 5487 | { |
5488 | // | |
5489 | // Calcul the coefficients of the polynome passant par ces cinqs points de degre 4 | |
5490 | // | |
55a288e5 | 5491 | Double_t *c = new Double_t[5]; |
5492 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])*(x[0]-x[4])); | |
5493 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])*(x[1]-x[4])); | |
5494 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])*(x[2]-x[4])); | |
5495 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])*(x[3]-x[4])); | |
5496 | Double_t x4 = y[4]/((x[4]-x[0])*(x[4]-x[1])*(x[4]-x[2])*(x[4]-x[3])); | |
3a0f6479 | 5497 | |
55a288e5 | 5498 | |
5499 | c[4] = x0+x1+x2+x3+x4; | |
5500 | c[3] = -(x0*(x[1]+x[2]+x[3]+x[4]) | |
5501 | +x1*(x[0]+x[2]+x[3]+x[4]) | |
5502 | +x2*(x[0]+x[1]+x[3]+x[4]) | |
5503 | +x3*(x[0]+x[1]+x[2]+x[4]) | |
5504 | +x4*(x[0]+x[1]+x[2]+x[3])); | |
5505 | c[2] = (x0*(x[1]*x[2]+x[1]*x[3]+x[1]*x[4]+x[2]*x[3]+x[2]*x[4]+x[3]*x[4]) | |
5506 | +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]) | |
5507 | +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]) | |
5508 | +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]) | |
5509 | +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])); | |
5510 | ||
5511 | c[1] = -(x0*(x[1]*x[2]*x[3]+x[1]*x[2]*x[4]+x[1]*x[3]*x[4]+x[2]*x[3]*x[4]) | |
5512 | +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]) | |
5513 | +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]) | |
5514 | +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]) | |
5515 | +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])); | |
5516 | ||
5517 | c[0] = (x0*x[1]*x[2]*x[3]*x[4] | |
5518 | +x1*x[0]*x[2]*x[3]*x[4] | |
5519 | +x2*x[0]*x[1]*x[3]*x[4] | |
5520 | +x3*x[0]*x[1]*x[2]*x[4] | |
5521 | +x4*x[0]*x[1]*x[2]*x[3]); | |
5522 | ||
5523 | return c; | |
3a0f6479 | 5524 | |
55a288e5 | 5525 | |
5526 | } | |
55a288e5 | 5527 | //_____________________________________________________________________________ |
5528 | void AliTRDCalibraFit::NormierungCharge() | |
5529 | { | |
5530 | // | |
5531 | // Normalisation of the gain factor resulting for the fits | |
5532 | // | |
5533 | ||
5534 | // Calcul of the mean of choosen method by fFitChargeNDB | |
5535 | Double_t sum = 0.0; | |
5536 | //printf("total number of entries %d\n",fVectorFitCH->GetEntriesFast()); | |
3a0f6479 | 5537 | for (Int_t k = 0; k < (Int_t) fVectorFit.GetEntriesFast(); k++) { |
55a288e5 | 5538 | Int_t total = 0; |
3a0f6479 | 5539 | Int_t detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); |
5540 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
55a288e5 | 5541 | //printf("detector %d coef[0] %f\n",detector,coef[0]); |
053767a4 | 5542 | if (GetStack(detector) == 2) { |
55a288e5 | 5543 | total = 1728; |
5544 | } | |
053767a4 | 5545 | if (GetStack(detector) != 2) { |
55a288e5 | 5546 | total = 2304; |
5547 | } | |
5548 | for (Int_t j = 0; j < total; j++) { | |
5549 | if (coef[j] >= 0) { | |
5550 | sum += coef[j]; | |
5551 | } | |
5552 | } | |
5553 | } | |
5554 | ||
5555 | if (sum > 0) { | |
5556 | fScaleFitFactor = fScaleFitFactor / sum; | |
5557 | } | |
5558 | else { | |
5559 | fScaleFitFactor = 1.0; | |
3a0f6479 | 5560 | } |
55a288e5 | 5561 | |
3a0f6479 | 5562 | //methode de boeuf mais bon... |
5563 | Double_t scalefactor = fScaleFitFactor; | |
55a288e5 | 5564 | |
3a0f6479 | 5565 | if(fDebugLevel > 1){ |
5566 | ||
5567 | if ( !fDebugStreamer ) { | |
5568 | //debug stream | |
5569 | TDirectory *backup = gDirectory; | |
4aad967c | 5570 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); |
3a0f6479 | 5571 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5572 | } | |
413153cb | 5573 | (* fDebugStreamer) << "NormierungCharge"<< |
3a0f6479 | 5574 | "scalefactor="<<scalefactor<< |
5575 | "\n"; | |
5576 | } | |
55a288e5 | 5577 | } |
55a288e5 | 5578 | //_____________________________________________________________________________ |
979b168f | 5579 | TH1I *AliTRDCalibraFit::ReBin(const TH1I *hist) const |
55a288e5 | 5580 | { |
5581 | // | |
5582 | // Rebin of the 1D histo for the gain calibration if needed. | |
5583 | // you have to choose fRebin, divider of fNumberBinCharge | |
5584 | // | |
5585 | ||
3a0f6479 | 5586 | TAxis *xhist = hist->GetXaxis(); |
5587 | TH1I *rehist = new TH1I("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
5588 | ,xhist->GetBinLowEdge(1) | |
5589 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
55a288e5 | 5590 | |
3a0f6479 | 5591 | AliInfo(Form("fRebin: %d",fRebin)); |
5592 | Int_t i = 1; | |
5593 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
5594 | Double_t sum = 0.0; | |
5595 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
5596 | sum += hist->GetBinContent(ji); | |
5597 | } | |
5598 | sum = sum / fRebin; | |
5599 | rehist->SetBinContent(k,sum); | |
5600 | i += fRebin; | |
5601 | } | |
55a288e5 | 5602 | |
3a0f6479 | 5603 | return rehist; |
55a288e5 | 5604 | |
5605 | } | |
5606 | ||
5607 | //_____________________________________________________________________________ | |
979b168f | 5608 | TH1F *AliTRDCalibraFit::ReBin(const TH1F *hist) const |
55a288e5 | 5609 | { |
5610 | // | |
5611 | // Rebin of the 1D histo for the gain calibration if needed | |
5612 | // you have to choose fRebin divider of fNumberBinCharge | |
5613 | // | |
5614 | ||
5615 | TAxis *xhist = hist->GetXaxis(); | |
5616 | TH1F *rehist = new TH1F("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
5617 | ,xhist->GetBinLowEdge(1) | |
5618 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
5619 | ||
5620 | AliInfo(Form("fRebin: %d",fRebin)); | |
5621 | Int_t i = 1; | |
5622 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
5623 | Double_t sum = 0.0; | |
5624 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
5625 | sum += hist->GetBinContent(ji); | |
5626 | } | |
5627 | sum = sum/fRebin; | |
5628 | rehist->SetBinContent(k,sum); | |
5629 | i += fRebin; | |
5630 | } | |
5631 | ||
55a288e5 | 5632 | return rehist; |
5633 | ||
5634 | } | |
5635 | ||
5636 | //_____________________________________________________________________________ | |
979b168f | 5637 | TH1F *AliTRDCalibraFit::CorrectTheError(const TGraphErrors *hist) |
55a288e5 | 5638 | { |
5639 | // | |
5640 | // In the case of the vectors method the trees contains TGraphErrors for PH and PRF | |
5641 | // to be able to add them after | |
5642 | // We convert it to a TH1F to be able to applied the same fit function method | |
5643 | // After having called this function you can not add the statistics anymore | |
5644 | // | |
5645 | ||
5646 | TH1F *rehist = 0x0; | |
5647 | ||
3a0f6479 | 5648 | Int_t nbins = hist->GetN(); |
55a288e5 | 5649 | Double_t *x = hist->GetX(); |
5650 | Double_t *entries = hist->GetEX(); | |
5651 | Double_t *mean = hist->GetY(); | |
5652 | Double_t *square = hist->GetEY(); | |
5653 | fEntriesCurrent = 0; | |
5654 | ||
5655 | if (nbins < 2) { | |
5656 | return rehist; | |
5657 | } | |
5658 | ||
5659 | Double_t step = x[1] - x[0]; | |
5660 | Double_t minvalue = x[0] - step/2; | |
5661 | Double_t maxvalue = x[(nbins-1)] + step/2; | |
5662 | ||
5663 | rehist = new TH1F("projcorrecterror","",nbins,minvalue,maxvalue); | |
5664 | ||
5665 | for (Int_t k = 0; k < nbins; k++) { | |
5666 | rehist->SetBinContent(k+1,mean[k]); | |
5667 | if (entries[k] > 0.0) { | |
5668 | fEntriesCurrent += (Int_t) entries[k]; | |
5669 | Double_t d = TMath::Abs(square[k] - (mean[k]*mean[k])); | |
5670 | rehist->SetBinError(k+1,TMath::Sqrt(d/entries[k])); | |
5671 | } | |
5672 | else { | |
5673 | rehist->SetBinError(k+1,0.0); | |
5674 | } | |
5675 | } | |
5676 | ||
3a0f6479 | 5677 | if(fEntriesCurrent > 0) fNumberEnt++; |
5678 | ||
55a288e5 | 5679 | return rehist; |
5680 | ||
5681 | } | |
55a288e5 | 5682 | // |
5683 | //____________Some basic geometry function_____________________________________ | |
5684 | // | |
5685 | ||
5686 | //_____________________________________________________________________________ | |
053767a4 | 5687 | Int_t AliTRDCalibraFit::GetLayer(Int_t d) const |
55a288e5 | 5688 | { |
5689 | // | |
5690 | // Reconstruct the plane number from the detector number | |
5691 | // | |
5692 | ||
5693 | return ((Int_t) (d % 6)); | |
5694 | ||
5695 | } | |
5696 | ||
5697 | //_____________________________________________________________________________ | |
053767a4 | 5698 | Int_t AliTRDCalibraFit::GetStack(Int_t d) const |
55a288e5 | 5699 | { |
5700 | // | |
053767a4 | 5701 | // Reconstruct the stack number from the detector number |
55a288e5 | 5702 | // |
053767a4 | 5703 | const Int_t kNlayer = 6; |
55a288e5 | 5704 | |
053767a4 | 5705 | return ((Int_t) (d % 30) / kNlayer); |
55a288e5 | 5706 | |
5707 | } | |
5708 | ||
5709 | //_____________________________________________________________________________ | |
5710 | Int_t AliTRDCalibraFit::GetSector(Int_t d) const | |
5711 | { | |
5712 | // | |
5713 | // Reconstruct the sector number from the detector number | |
5714 | // | |
5715 | Int_t fg = 30; | |
5716 | ||
5717 | return ((Int_t) (d / fg)); | |
5718 | ||
5719 | } | |
5720 | ||
5721 | // | |
5722 | //____________Fill and Init tree Gain, PRF, Vdrift and T0______________________ | |
5723 | // | |
3a0f6479 | 5724 | //_______________________________________________________________________________ |
5725 | void AliTRDCalibraFit::ResetVectorFit() | |
55a288e5 | 5726 | { |
e6381f8e | 5727 | // |
5728 | // Reset the VectorFits | |
5729 | // | |
5730 | ||
3a0f6479 | 5731 | fVectorFit.SetOwner(); |
5732 | fVectorFit.Clear(); | |
5733 | fVectorFit2.SetOwner(); | |
5734 | fVectorFit2.Clear(); | |
55a288e5 | 5735 | |
55a288e5 | 5736 | } |
55a288e5 | 5737 | // |
5738 | //____________Private Functions________________________________________________ | |
5739 | // | |
5740 | ||
5741 | //_____________________________________________________________________________ | |
979b168f | 5742 | Double_t AliTRDCalibraFit::PH(const Double_t *x, const Double_t *par) |
55a288e5 | 5743 | { |
5744 | // | |
5745 | // Function for the fit | |
5746 | // | |
5747 | ||
5748 | //TF1 *fAsymmGauss = new TF1("fAsymmGauss",AsymmGauss,0,4,6); | |
5749 | ||
5750 | //PARAMETERS FOR FIT PH | |
5751 | // PASAv.4 | |
5752 | //fAsymmGauss->SetParameter(0,0.113755); | |
5753 | //fAsymmGauss->SetParameter(1,0.350706); | |
5754 | //fAsymmGauss->SetParameter(2,0.0604244); | |
5755 | //fAsymmGauss->SetParameter(3,7.65596); | |
5756 | //fAsymmGauss->SetParameter(4,1.00124); | |
5757 | //fAsymmGauss->SetParameter(5,0.870597); // No tail cancelation | |
5758 | ||
5759 | Double_t xx = x[0]; | |
5760 | ||
5761 | if (xx < par[1]) { | |
5762 | return par[5]; | |
5763 | } | |
5764 | ||
5765 | Double_t dx = 0.005; | |
5766 | Double_t xs = par[1]; | |
5767 | Double_t ss = 0.0; | |
5768 | Double_t paras[2] = { 0.0, 0.0 }; | |
5769 | ||
5770 | while (xs < xx) { | |
5771 | if ((xs >= par[1]) && | |
5772 | (xs < (par[1]+par[2]))) { | |
5773 | //fAsymmGauss->SetParameter(0,par[0]); | |
5774 | //fAsymmGauss->SetParameter(1,xs); | |
5775 | //ss += fAsymmGauss->Eval(xx); | |
5776 | paras[0] = par[0]; | |
5777 | paras[1] = xs; | |
5778 | ss += AsymmGauss(&xx,paras); | |
5779 | } | |
5780 | if ((xs >= (par[1]+par[2])) && | |
5781 | (xs < (par[1]+par[2]+par[3]))) { | |
5782 | //fAsymmGauss->SetParameter(0,par[0]*par[4]); | |
5783 | //fAsymmGauss->SetParameter(1,xs); | |
5784 | //ss += fAsymmGauss->Eval(xx); | |
5785 | paras[0] = par[0]*par[4]; | |
5786 | paras[1] = xs; | |
5787 | ss += AsymmGauss(&xx,paras); | |
5788 | } | |
5789 | xs += dx; | |
5790 | } | |
5791 | ||
5792 | return ss + par[5]; | |
5793 | ||
5794 | } | |
5795 | ||
5796 | //_____________________________________________________________________________ | |
979b168f | 5797 | Double_t AliTRDCalibraFit::AsymmGauss(const Double_t *x, const Double_t *par) |
55a288e5 | 5798 | { |
5799 | // | |
5800 | // Function for the fit | |
5801 | // | |
5802 | ||
5803 | //par[0] = normalization | |
5804 | //par[1] = mean | |
5805 | //par[2] = sigma | |
5806 | //norm0 = 1 | |
5807 | //par[3] = lambda0 | |
5808 | //par[4] = norm1 | |
5809 | //par[5] = lambda1 | |
5810 | ||
5811 | Double_t par1save = par[1]; | |
5812 | //Double_t par2save = par[2]; | |
5813 | Double_t par2save = 0.0604244; | |
5814 | //Double_t par3save = par[3]; | |
5815 | Double_t par3save = 7.65596; | |
5816 | //Double_t par5save = par[5]; | |
5817 | Double_t par5save = 0.870597; | |
5818 | Double_t dx = x[0] - par1save; | |
5819 | ||
5820 | Double_t sigma2 = par2save*par2save; | |
5821 | Double_t sqrt2 = TMath::Sqrt(2.0); | |
5822 | Double_t exp1 = par3save * TMath::Exp(-par3save * (dx - 0.5 * par3save * sigma2)) | |
5823 | * (1.0 - TMath::Erf((par3save * sigma2 - dx) / (sqrt2 * par2save))); | |
5824 | Double_t exp2 = par5save * TMath::Exp(-par5save * (dx - 0.5 * par5save * sigma2)) | |
5825 | * (1.0 - TMath::Erf((par5save * sigma2 - dx) / (sqrt2 * par2save))); | |
5826 | ||
5827 | //return par[0]*(exp1+par[4]*exp2); | |
5828 | return par[0] * (exp1 + 1.00124 * exp2); | |
5829 | ||
5830 | } | |
5831 | ||
5832 | //_____________________________________________________________________________ | |
979b168f | 5833 | Double_t AliTRDCalibraFit::FuncLandauGaus(const Double_t *x, const Double_t *par) |
55a288e5 | 5834 | { |
5835 | // | |
5836 | // Sum Landau + Gaus with identical mean | |
5837 | // | |
5838 | ||
5839 | Double_t valLandau = par[0] * TMath::Landau(x[0],par[1],par[2]); | |
5840 | //Double_t valGaus = par[3] * TMath::Gaus(x[0],par[4],par[5]); | |
5841 | Double_t valGaus = par[3] * TMath::Gaus(x[0],par[1],par[4]); | |
5842 | Double_t val = valLandau + valGaus; | |
5843 | ||
5844 | return val; | |
5845 | ||
5846 | } | |
5847 | ||
5848 | //_____________________________________________________________________________ | |
979b168f | 5849 | Double_t AliTRDCalibraFit::LanGauFun(const Double_t *x, const Double_t *par) |
55a288e5 | 5850 | { |
5851 | // | |
5852 | // Function for the fit | |
5853 | // | |
5854 | // Fit parameters: | |
5855 | // par[0]=Width (scale) parameter of Landau density | |
5856 | // par[1]=Most Probable (MP, location) parameter of Landau density | |
5857 | // par[2]=Total area (integral -inf to inf, normalization constant) | |
5858 | // par[3]=Width (sigma) of convoluted Gaussian function | |
5859 | // | |
5860 | // In the Landau distribution (represented by the CERNLIB approximation), | |
5861 | // the maximum is located at x=-0.22278298 with the location parameter=0. | |
5862 | // This shift is corrected within this function, so that the actual | |
5863 | // maximum is identical to the MP parameter. | |
5864 | // | |
5865 | ||
5866 | // Numeric constants | |
5867 | Double_t invsq2pi = 0.3989422804014; // (2 pi)^(-1/2) | |
5868 | Double_t mpshift = -0.22278298; // Landau maximum location | |
5869 | ||
5870 | // Control constants | |
5871 | Double_t np = 100.0; // Number of convolution steps | |
5872 | Double_t sc = 5.0; // Convolution extends to +-sc Gaussian sigmas | |
5873 | ||
5874 | // Variables | |
5875 | Double_t xx; | |
5876 | Double_t mpc; | |
5877 | Double_t fland; | |
5878 | Double_t sum = 0.0; | |
5879 | Double_t xlow; | |
5880 | Double_t xupp; | |
5881 | Double_t step; | |
5882 | Double_t i; | |
5883 | ||
5884 | // MP shift correction | |
5885 | mpc = par[1] - mpshift * par[0]; | |
5886 | ||
5887 | // Range of convolution integral | |
5888 | xlow = x[0] - sc * par[3]; | |
5889 | xupp = x[0] + sc * par[3]; | |
5890 | ||
5891 | step = (xupp - xlow) / np; | |
5892 | ||
5893 | // Convolution integral of Landau and Gaussian by sum | |
5894 | for (i = 1.0; i <= np/2; i++) { | |
5895 | ||
5896 | xx = xlow + (i-.5) * step; | |
5897 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
5898 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
5899 | ||
5900 | xx = xupp - (i-.5) * step; | |
5901 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
5902 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
5903 | ||
5904 | } | |
5905 | ||
5906 | return (par[2] * step * sum * invsq2pi / par[3]); | |
5907 | ||
5908 | } | |
55a288e5 | 5909 | //_____________________________________________________________________________ |
979b168f | 5910 | TF1 *AliTRDCalibraFit::LanGauFit(TH1 *his, const Double_t *fitrange, const Double_t *startvalues |
5911 | , const Double_t *parlimitslo, const Double_t *parlimitshi | |
55a288e5 | 5912 | , Double_t *fitparams, Double_t *fiterrors |
e6381f8e | 5913 | , Double_t *chiSqr, Int_t *ndf) const |
55a288e5 | 5914 | { |
5915 | // | |
5916 | // Function for the fit | |
5917 | // | |
5918 | ||
5919 | Int_t i; | |
5920 | Char_t funname[100]; | |
5921 | ||
5922 | TF1 *ffitold = (TF1 *) gROOT->GetListOfFunctions()->FindObject(funname); | |
5923 | if (ffitold) { | |
5924 | delete ffitold; | |
5925 | } | |
5926 | ||
5927 | TF1 *ffit = new TF1(funname,LanGauFun,fitrange[0],fitrange[1],4); | |
5928 | ffit->SetParameters(startvalues); | |
5929 | ffit->SetParNames("Width","MP","Area","GSigma"); | |
5930 | ||
5931 | for (i = 0; i < 4; i++) { | |
5932 | ffit->SetParLimits(i,parlimitslo[i],parlimitshi[i]); | |
5933 | } | |
5934 | ||
5935 | his->Fit(funname,"RB0"); // Fit within specified range, use ParLimits, do not plot | |
5936 | ||
5937 | ffit->GetParameters(fitparams); // Obtain fit parameters | |
5938 | for (i = 0; i < 4; i++) { | |
5939 | fiterrors[i] = ffit->GetParError(i); // Obtain fit parameter errors | |
5940 | } | |
5941 | chiSqr[0] = ffit->GetChisquare(); // Obtain chi^2 | |
5942 | ndf[0] = ffit->GetNDF(); // Obtain ndf | |
5943 | ||
5944 | return (ffit); // Return fit function | |
5945 | ||
5946 | } | |
5947 | ||
5948 | //_____________________________________________________________________________ | |
979b168f | 5949 | Int_t AliTRDCalibraFit::LanGauPro(const Double_t *params, Double_t &maxx, Double_t &fwhm) |
55a288e5 | 5950 | { |
5951 | // | |
5952 | // Function for the fit | |
5953 | // | |
5954 | ||
5955 | Double_t p; | |
5956 | Double_t x; | |
5957 | Double_t fy; | |
5958 | Double_t fxr; | |
5959 | Double_t fxl; | |
5960 | Double_t step; | |
5961 | Double_t l; | |
5962 | Double_t lold; | |
5963 | ||
5964 | Int_t i = 0; | |
5965 | Int_t maxcalls = 10000; | |
5966 | ||
5967 | // Search for maximum | |
5968 | p = params[1] - 0.1 * params[0]; | |
5969 | step = 0.05 * params[0]; | |
5970 | lold = -2.0; | |
5971 | l = -1.0; | |
5972 | ||
5973 | while ((l != lold) && (i < maxcalls)) { | |
5974 | i++; | |
5975 | lold = l; | |
5976 | x = p + step; | |
5977 | l = LanGauFun(&x,params); | |
5978 | if (l < lold) { | |
5979 | step = -step / 10.0; | |
5980 | } | |
5981 | p += step; | |
5982 | } | |
5983 | ||
5984 | if (i == maxcalls) { | |
5985 | return (-1); | |
5986 | } | |
5987 | maxx = x; | |
5988 | fy = l / 2.0; | |
5989 | ||
5990 | // Search for right x location of fy | |
5991 | p = maxx + params[0]; | |
5992 | step = params[0]; | |
5993 | lold = -2.0; | |
5994 | l = -1e300; | |
5995 | i = 0; | |
5996 | ||
5997 | while ( (l != lold) && (i < maxcalls) ) { | |
5998 | i++; | |
5999 | ||
6000 | lold = l; | |
6001 | x = p + step; | |
6002 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
6003 | ||
6004 | if (l > lold) | |
6005 | step = -step/10; | |
6006 | ||
6007 | p += step; | |
6008 | } | |
6009 | ||
6010 | if (i == maxcalls) | |
6011 | return (-2); | |
6012 | ||
6013 | fxr = x; | |
6014 | ||
3a0f6479 | 6015 | |
55a288e5 | 6016 | // Search for left x location of fy |
6017 | ||
6018 | p = maxx - 0.5 * params[0]; | |
6019 | step = -params[0]; | |
6020 | lold = -2.0; | |
6021 | l = -1.0e300; | |
6022 | i = 0; | |
6023 | ||
6024 | while ((l != lold) && (i < maxcalls)) { | |
6025 | i++; | |
6026 | lold = l; | |
6027 | x = p + step; | |
6028 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
6029 | if (l > lold) { | |
6030 | step = -step / 10.0; | |
6031 | } | |
6032 | p += step; | |
6033 | } | |
6034 | ||
6035 | if (i == maxcalls) { | |
6036 | return (-3); | |
6037 | } | |
6038 | ||
6039 | fxl = x; | |
6040 | fwhm = fxr - fxl; | |
6041 | ||
6042 | return (0); | |
55a288e5 | 6043 | } |
55a288e5 | 6044 | //_____________________________________________________________________________ |
979b168f | 6045 | Double_t AliTRDCalibraFit::GausConstant(const Double_t *x, const Double_t *par) |
55a288e5 | 6046 | { |
6047 | // | |
6048 | // Gaus with identical mean | |
6049 | // | |
6050 | ||
e6381f8e | 6051 | Double_t gauss = par[0] * TMath::Gaus(x[0],0.0,par[1])+par[2]; |
55a288e5 | 6052 | |
e6381f8e | 6053 | return gauss; |
55a288e5 | 6054 | |
6055 | } |