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