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55a288e5 | 1 | /************************************************************************** |
2 | * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * | |
3 | * * | |
4 | * Author: The ALICE Off-line Project. * | |
5 | * Contributors are mentioned in the code where appropriate. * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
8 | * documentation strictly for non-commercial purposes is hereby granted * | |
9 | * without fee, provided that the above copyright notice appears in all * | |
10 | * copies and that both the copyright notice and this permission notice * | |
11 | * appear in the supporting documentation. The authors make no claims * | |
12 | * about the suitability of this software for any purpose. It is * | |
13 | * provided "as is" without express or implied warranty. * | |
14 | **************************************************************************/ | |
15 | ||
16 | /* $Id$ */ | |
17 | ||
18 | ///////////////////////////////////////////////////////////////////////////////// | |
19 | // | |
20 | // AliTRDCalibraFit | |
21 | // | |
22 | // This class is for the TRD calibration of the relative gain factor, the drift velocity, | |
23 | // the time 0 and the pad response function. It fits the histos. | |
24 | // The 2D histograms or vectors (first converted in 1D histos) will be fitted | |
25 | // if they have enough entries, otherwise the (default) value of the choosen database | |
26 | // will be put. For the relative gain calibration the resulted factors will be globally | |
27 | // normalized to the gain factors of the choosen database. It unables to precise | |
28 | // previous calibration procedure. | |
29 | // The function SetDebug enables the user to see: | |
30 | // _fDebug = 0: nothing, only the values are written in the tree if wanted | |
64942b85 | 31 | // _fDebug = 1: only the fit of the choosen calibration group fFitVoir (SetFitVoir) |
32 | // _fDebug = 2: a comparaison of the coefficients found and the default values | |
55a288e5 | 33 | // in the choosen database. |
34 | // fCoef , histogram of the coefs as function of the calibration group number | |
35 | // fDelta , histogram of the relative difference of the coef with the default | |
36 | // value in the database as function of the calibration group number | |
37 | // fError , dirstribution of this relative difference | |
55a288e5 | 38 | // _fDebug = 3: The coefficients in the choosen detector fDet (SetDet) as function of the |
39 | // pad row and col number | |
40 | // _fDebug = 4; The coeffcicients in the choosen detector fDet (SetDet) like in the 3 but with | |
41 | // also the comparaison histograms of the 1 for this detector | |
42 | // | |
43 | // | |
44 | // Author: | |
45 | // R. Bailhache (R.Bailhache@gsi.de) | |
46 | // | |
47 | ////////////////////////////////////////////////////////////////////////////////////// | |
48 | ||
55a288e5 | 49 | #include <TLine.h> |
50 | #include <TH1I.h> | |
51 | #include <TStyle.h> | |
52 | #include <TProfile2D.h> | |
55a288e5 | 53 | #include <TCanvas.h> |
54 | #include <TGraphErrors.h> | |
55a288e5 | 55 | #include <TObjArray.h> |
56 | #include <TH1.h> | |
57 | #include <TH1F.h> | |
58 | #include <TF1.h> | |
55a288e5 | 59 | #include <TAxis.h> |
55a288e5 | 60 | #include <TMath.h> |
55a288e5 | 61 | #include <TDirectory.h> |
3a0f6479 | 62 | #include <TTreeStream.h> |
63 | #include <TLinearFitter.h> | |
64 | #include <TVectorD.h> | |
daa7dc79 | 65 | #include <TROOT.h> |
4c865c34 | 66 | #include <TString.h> |
55a288e5 | 67 | |
68 | #include "AliLog.h" | |
3a0f6479 | 69 | #include "AliMathBase.h" |
55a288e5 | 70 | |
71 | #include "AliTRDCalibraFit.h" | |
72 | #include "AliTRDCalibraMode.h" | |
73 | #include "AliTRDCalibraVector.h" | |
3a0f6479 | 74 | #include "AliTRDCalibraVdriftLinearFit.h" |
55a288e5 | 75 | #include "AliTRDcalibDB.h" |
76 | #include "AliTRDgeometry.h" | |
3a0f6479 | 77 | #include "AliTRDpadPlane.h" |
78 | #include "AliTRDgeometry.h" | |
a076fc2f | 79 | #include "AliTRDCommonParam.h" |
55a288e5 | 80 | #include "./Cal/AliTRDCalROC.h" |
81 | #include "./Cal/AliTRDCalPad.h" | |
82 | #include "./Cal/AliTRDCalDet.h" | |
83 | ||
84 | ||
85 | ClassImp(AliTRDCalibraFit) | |
86 | ||
87 | AliTRDCalibraFit* AliTRDCalibraFit::fgInstance = 0; | |
88 | Bool_t AliTRDCalibraFit::fgTerminated = kFALSE; | |
89 | ||
90 | //_____________singleton implementation_________________________________________________ | |
91 | AliTRDCalibraFit *AliTRDCalibraFit::Instance() | |
92 | { | |
93 | // | |
94 | // Singleton implementation | |
95 | // | |
96 | ||
97 | if (fgTerminated != kFALSE) { | |
98 | return 0; | |
99 | } | |
100 | ||
101 | if (fgInstance == 0) { | |
102 | fgInstance = new AliTRDCalibraFit(); | |
103 | } | |
104 | ||
105 | return fgInstance; | |
106 | ||
107 | } | |
55a288e5 | 108 | //______________________________________________________________________________________ |
109 | void AliTRDCalibraFit::Terminate() | |
110 | { | |
111 | // | |
112 | // Singleton implementation | |
113 | // Deletes the instance of this class | |
114 | // | |
115 | ||
116 | fgTerminated = kTRUE; | |
117 | ||
118 | if (fgInstance != 0) { | |
119 | delete fgInstance; | |
120 | fgInstance = 0; | |
121 | } | |
122 | ||
123 | } | |
55a288e5 | 124 | //______________________________________________________________________________________ |
125 | AliTRDCalibraFit::AliTRDCalibraFit() | |
126 | :TObject() | |
f162af62 | 127 | ,fGeo(0) |
3a0f6479 | 128 | ,fNumberOfBinsExpected(0) |
129 | ,fMethod(0) | |
130 | ,fBeginFitCharge(3.5) | |
131 | ,fFitPHPeriode(1) | |
413153cb | 132 | ,fTakeTheMaxPH(kTRUE) |
133 | ,fT0Shift0(0.124797) | |
134 | ,fT0Shift1(0.267451) | |
3a0f6479 | 135 | ,fRangeFitPRF(1.0) |
55a288e5 | 136 | ,fAccCDB(kFALSE) |
3a0f6479 | 137 | ,fMinEntries(800) |
138 | ,fRebin(1) | |
54f2ff1c | 139 | ,fScaleGain(0.02431) |
55a288e5 | 140 | ,fNumberFit(0) |
141 | ,fNumberFitSuccess(0) | |
142 | ,fNumberEnt(0) | |
143 | ,fStatisticMean(0.0) | |
3a0f6479 | 144 | ,fDebugStreamer(0x0) |
145 | ,fDebugLevel(0) | |
55a288e5 | 146 | ,fFitVoir(0) |
3a0f6479 | 147 | ,fMagneticField(0.5) |
148 | ,fCalibraMode(new AliTRDCalibraMode()) | |
149 | ,fCurrentCoefE(0.0) | |
150 | ,fCurrentCoefE2(0.0) | |
151 | ,fDect1(0) | |
152 | ,fDect2(0) | |
55a288e5 | 153 | ,fScaleFitFactor(0.0) |
154 | ,fEntriesCurrent(0) | |
3a0f6479 | 155 | ,fCountDet(0) |
156 | ,fCount(0) | |
64942b85 | 157 | ,fNbDet(0) |
3a0f6479 | 158 | ,fCalDet(0x0) |
159 | ,fCalROC(0x0) | |
160 | ,fCalDet2(0x0) | |
161 | ,fCalROC2(0x0) | |
162 | ,fCurrentCoefDetector(0x0) | |
163 | ,fCurrentCoefDetector2(0x0) | |
164 | ,fVectorFit(0) | |
165 | ,fVectorFit2(0) | |
55a288e5 | 166 | { |
167 | // | |
168 | // Default constructor | |
169 | // | |
170 | ||
3a0f6479 | 171 | fGeo = new AliTRDgeometry(); |
172 | ||
173 | // Current variables initialised | |
174 | for (Int_t k = 0; k < 2; k++) { | |
175 | fCurrentCoef[k] = 0.0; | |
176 | fCurrentCoef2[k] = 0.0; | |
55a288e5 | 177 | } |
55a288e5 | 178 | for (Int_t i = 0; i < 3; i++) { |
3a0f6479 | 179 | fPhd[i] = 0.0; |
180 | fDet[i] = 0; | |
55a288e5 | 181 | } |
3a0f6479 | 182 | |
55a288e5 | 183 | } |
55a288e5 | 184 | //______________________________________________________________________________________ |
185 | AliTRDCalibraFit::AliTRDCalibraFit(const AliTRDCalibraFit &c) | |
3a0f6479 | 186 | :TObject(c) |
187 | ,fGeo(0) | |
188 | ,fNumberOfBinsExpected(c.fNumberOfBinsExpected) | |
189 | ,fMethod(c.fMethod) | |
190 | ,fBeginFitCharge(c.fBeginFitCharge) | |
191 | ,fFitPHPeriode(c.fFitPHPeriode) | |
192 | ,fTakeTheMaxPH(c.fTakeTheMaxPH) | |
413153cb | 193 | ,fT0Shift0(c.fT0Shift0) |
194 | ,fT0Shift1(c.fT0Shift1) | |
3a0f6479 | 195 | ,fRangeFitPRF(c.fRangeFitPRF) |
196 | ,fAccCDB(c.fAccCDB) | |
197 | ,fMinEntries(c.fMinEntries) | |
198 | ,fRebin(c.fRebin) | |
54f2ff1c | 199 | ,fScaleGain(c.fScaleGain) |
3a0f6479 | 200 | ,fNumberFit(c.fNumberFit) |
201 | ,fNumberFitSuccess(c.fNumberFitSuccess) | |
202 | ,fNumberEnt(c.fNumberEnt) | |
203 | ,fStatisticMean(c.fStatisticMean) | |
204 | ,fDebugStreamer(0x0) | |
205 | ,fDebugLevel(c.fDebugLevel) | |
206 | ,fFitVoir(c.fFitVoir) | |
207 | ,fMagneticField(c.fMagneticField) | |
208 | ,fCalibraMode(0x0) | |
209 | ,fCurrentCoefE(c.fCurrentCoefE) | |
210 | ,fCurrentCoefE2(c.fCurrentCoefE2) | |
211 | ,fDect1(c.fDect1) | |
212 | ,fDect2(c.fDect2) | |
213 | ,fScaleFitFactor(c.fScaleFitFactor) | |
214 | ,fEntriesCurrent(c.fEntriesCurrent) | |
215 | ,fCountDet(c.fCountDet) | |
216 | ,fCount(c.fCount) | |
64942b85 | 217 | ,fNbDet(c.fNbDet) |
3a0f6479 | 218 | ,fCalDet(0x0) |
219 | ,fCalROC(0x0) | |
220 | ,fCalDet2(0x0) | |
221 | ,fCalROC2(0x0) | |
222 | ,fCurrentCoefDetector(0x0) | |
223 | ,fCurrentCoefDetector2(0x0) | |
224 | ,fVectorFit(0) | |
225 | ,fVectorFit2(0) | |
55a288e5 | 226 | { |
227 | // | |
228 | // Copy constructor | |
229 | // | |
230 | ||
3a0f6479 | 231 | if(c.fCalibraMode) fCalibraMode = new AliTRDCalibraMode(*c.fCalibraMode); |
232 | ||
233 | //Current variables initialised | |
234 | for (Int_t k = 0; k < 2; k++) { | |
235 | fCurrentCoef[k] = 0.0; | |
236 | fCurrentCoef2[k] = 0.0; | |
237 | } | |
238 | for (Int_t i = 0; i < 3; i++) { | |
239 | fPhd[i] = 0.0; | |
240 | fDet[i] = 0; | |
241 | } | |
242 | if(c.fCalDet) fCalDet = new AliTRDCalDet(*c.fCalDet); | |
243 | if(c.fCalDet2) fCalDet2 = new AliTRDCalDet(*c.fCalDet2); | |
64942b85 | 244 | |
3a0f6479 | 245 | if(c.fCalROC) fCalROC = new AliTRDCalROC(*c.fCalROC); |
246 | if(c.fCalROC2) fCalROC = new AliTRDCalROC(*c.fCalROC2); | |
247 | ||
248 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
249 | for(Int_t k = 0; k < c.fVectorFit.GetEntriesFast(); k++){ | |
250 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
251 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetDetector(); | |
252 | Int_t ntotal = 1; | |
053767a4 | 253 | if (GetStack(detector) == 2) { |
3a0f6479 | 254 | ntotal = 1728; |
255 | } | |
256 | else { | |
257 | ntotal = 2304; | |
258 | } | |
259 | Float_t *coef = new Float_t[ntotal]; | |
260 | for (Int_t i = 0; i < ntotal; i++) { | |
261 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetCoef()[i]; | |
262 | } | |
263 | fitInfo->SetCoef(coef); | |
264 | fitInfo->SetDetector(detector); | |
265 | fVectorFit.Add((TObject *) fitInfo); | |
266 | } | |
267 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
268 | for(Int_t k = 0; k < c.fVectorFit2.GetEntriesFast(); k++){ | |
269 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
270 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetDetector(); | |
271 | Int_t ntotal = 1; | |
053767a4 | 272 | if (GetStack(detector) == 2) { |
3a0f6479 | 273 | ntotal = 1728; |
274 | } | |
275 | else { | |
276 | ntotal = 2304; | |
277 | } | |
278 | Float_t *coef = new Float_t[ntotal]; | |
279 | for (Int_t i = 0; i < ntotal; i++) { | |
280 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetCoef()[i]; | |
281 | } | |
282 | fitInfo->SetCoef(coef); | |
283 | fitInfo->SetDetector(detector); | |
284 | fVectorFit2.Add((TObject *) fitInfo); | |
285 | } | |
286 | if (fGeo) { | |
287 | delete fGeo; | |
288 | } | |
289 | fGeo = new AliTRDgeometry(); | |
55a288e5 | 290 | |
3a0f6479 | 291 | } |
55a288e5 | 292 | //____________________________________________________________________________________ |
293 | AliTRDCalibraFit::~AliTRDCalibraFit() | |
294 | { | |
295 | // | |
296 | // AliTRDCalibraFit destructor | |
297 | // | |
3a0f6479 | 298 | if ( fDebugStreamer ) delete fDebugStreamer; |
299 | if ( fCalDet ) delete fCalDet; | |
300 | if ( fCalDet2 ) delete fCalDet2; | |
301 | if ( fCalROC ) delete fCalROC; | |
1ca79a00 | 302 | if ( fCalROC2 ) delete fCalROC2; |
303 | if( fCurrentCoefDetector ) delete [] fCurrentCoefDetector; | |
304 | if( fCurrentCoefDetector2 ) delete [] fCurrentCoefDetector2; | |
3a0f6479 | 305 | fVectorFit.Delete(); |
306 | fVectorFit2.Delete(); | |
f162af62 | 307 | if (fGeo) { |
308 | delete fGeo; | |
309 | } | |
310 | ||
55a288e5 | 311 | } |
55a288e5 | 312 | //_____________________________________________________________________________ |
313 | void AliTRDCalibraFit::Destroy() | |
314 | { | |
315 | // | |
316 | // Delete instance | |
317 | // | |
318 | ||
319 | if (fgInstance) { | |
320 | delete fgInstance; | |
321 | fgInstance = 0x0; | |
322 | } | |
323 | ||
64942b85 | 324 | } |
325 | //_____________________________________________________________________________ | |
326 | void AliTRDCalibraFit::DestroyDebugStreamer() | |
327 | { | |
328 | // | |
329 | // Delete DebugStreamer | |
330 | // | |
331 | ||
332 | if ( fDebugStreamer ) delete fDebugStreamer; | |
333 | fDebugStreamer = 0x0; | |
334 | ||
413153cb | 335 | } |
336 | //__________________________________________________________________________________ | |
979b168f | 337 | void AliTRDCalibraFit::RangeChargeIntegration(Float_t vdrift, Float_t t0, Int_t &begin, Int_t &peak, Int_t &end) const |
413153cb | 338 | { |
339 | // | |
340 | // From the drift velocity and t0 | |
341 | // return the position of the peak and maximum negative slope | |
342 | // | |
343 | ||
344 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); // drift region | |
345 | Double_t widbins = 0.1; // 0.1 mus | |
346 | ||
347 | //peak and maxnegslope in mus | |
348 | Double_t begind = t0*widbins + fT0Shift0; | |
349 | Double_t peakd = t0*widbins + fT0Shift1; | |
350 | Double_t maxnegslope = (kDrWidth + vdrift*peakd)/vdrift; | |
351 | ||
352 | // peak and maxnegslope in timebin | |
353 | begin = TMath::Nint(begind*widbins); | |
354 | peak = TMath::Nint(peakd*widbins); | |
355 | end = TMath::Nint(maxnegslope*widbins); | |
356 | ||
55a288e5 | 357 | } |
55a288e5 | 358 | //____________Functions fit Online CH2d________________________________________ |
979b168f | 359 | Bool_t AliTRDCalibraFit::AnalyseCH(const TH2I *ch) |
55a288e5 | 360 | { |
361 | // | |
362 | // Fit the 1D histos, projections of the 2D ch on the Xaxis, for each | |
363 | // calibration group normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 364 | // |
365 | ||
3a0f6479 | 366 | // Set the calibration mode |
4c865c34 | 367 | //const char *name = ch->GetTitle(); |
368 | TString name = ch->GetTitle(); | |
64942b85 | 369 | if(!SetModeCalibration(name,0)) return kFALSE; |
3a0f6479 | 370 | |
371 | // Number of Ybins (detectors or groups of pads) | |
372 | Int_t nbins = ch->GetNbinsX();// charge | |
373 | Int_t nybins = ch->GetNbinsY();// groups number | |
374 | if (!InitFit(nybins,0)) { | |
55a288e5 | 375 | return kFALSE; |
376 | } | |
3a0f6479 | 377 | if (!InitFitCH()) { |
55a288e5 | 378 | return kFALSE; |
379 | } | |
380 | fStatisticMean = 0.0; | |
381 | fNumberFit = 0; | |
382 | fNumberFitSuccess = 0; | |
383 | fNumberEnt = 0; | |
55a288e5 | 384 | // Init fCountDet and fCount |
385 | InitfCountDetAndfCount(0); | |
55a288e5 | 386 | // Beginning of the loop betwwen dect1 and dect2 |
3a0f6479 | 387 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
388 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi... | |
55a288e5 | 389 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 390 | ReconstructFitRowMinRowMax(idect, 0); |
3a0f6479 | 391 | // Take the histo |
392 | TH1I *projch = (TH1I *) ch->ProjectionX("projch",idect+1,idect+1,(Option_t *)"e"); | |
393 | projch->SetDirectory(0); | |
55a288e5 | 394 | // Number of entries for this calibration group |
395 | Double_t nentries = 0.0; | |
396 | Double_t mean = 0.0; | |
3a0f6479 | 397 | for (Int_t k = 0; k < nbins; k++) { |
398 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
399 | nentries += ch->GetBinContent(binnb); | |
55a288e5 | 400 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); |
3a0f6479 | 401 | projch->SetBinError(k+1,TMath::Sqrt(projch->GetBinContent(k+1))); |
55a288e5 | 402 | } |
3a0f6479 | 403 | projch->SetEntries(nentries); |
404 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 405 | if (nentries > 0) { |
406 | fNumberEnt++; | |
407 | mean /= nentries; | |
408 | } | |
55a288e5 | 409 | // Rebin and statistic stuff |
55a288e5 | 410 | if (fRebin > 1) { |
411 | projch = ReBin((TH1I *) projch); | |
412 | } | |
413 | // This detector has not enough statistics or was off | |
3a0f6479 | 414 | if (nentries <= fMinEntries) { |
415 | NotEnoughStatisticCH(idect); | |
416 | if (fDebugLevel != 1) { | |
55a288e5 | 417 | delete projch; |
418 | } | |
419 | continue; | |
420 | } | |
55a288e5 | 421 | // Statistics of the group fitted |
55a288e5 | 422 | fStatisticMean += nentries; |
423 | fNumberFit++; | |
3a0f6479 | 424 | //Method choosen |
425 | switch(fMethod) | |
426 | { | |
427 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
428 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
429 | case 2: FitCH((TH1 *) projch, mean); break; | |
430 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
431 | default: return kFALSE; | |
432 | } | |
55a288e5 | 433 | // Fill Infos Fit |
3a0f6479 | 434 | FillInfosFitCH(idect); |
55a288e5 | 435 | // Memory!!! |
3a0f6479 | 436 | if (fDebugLevel != 1) { |
55a288e5 | 437 | delete projch; |
438 | } | |
55a288e5 | 439 | } // Boucle object |
55a288e5 | 440 | // Normierungcharge |
3a0f6479 | 441 | if (fDebugLevel != 1) { |
55a288e5 | 442 | NormierungCharge(); |
443 | } | |
55a288e5 | 444 | // Mean Statistic |
445 | if (fNumberFit > 0) { | |
3a0f6479 | 446 | 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 | 447 | fStatisticMean = fStatisticMean / fNumberFit; |
448 | } | |
449 | else { | |
450 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
451 | } | |
3a0f6479 | 452 | delete fDebugStreamer; |
453 | fDebugStreamer = 0x0; | |
454 | ||
55a288e5 | 455 | return kTRUE; |
55a288e5 | 456 | } |
55a288e5 | 457 | //____________Functions fit Online CH2d________________________________________ |
3a0f6479 | 458 | Bool_t AliTRDCalibraFit::AnalyseCH(AliTRDCalibraVector *calvect) |
55a288e5 | 459 | { |
460 | // | |
461 | // Reconstruct a 1D histo from the vectorCH for each calibration group, | |
462 | // fit the histo, normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 463 | // |
464 | ||
3a0f6479 | 465 | // Set the calibraMode |
4c865c34 | 466 | //const char *name = calvect->GetNameCH(); |
467 | TString name = calvect->GetNameCH(); | |
64942b85 | 468 | if(!SetModeCalibration(name,0)) return kFALSE; |
55a288e5 | 469 | |
3a0f6479 | 470 | // Number of Xbins (detectors or groups of pads) |
471 | if (!InitFit((432*calvect->GetDetCha0(0)+108*calvect->GetDetCha2(0)),0)) { | |
55a288e5 | 472 | return kFALSE; |
473 | } | |
3a0f6479 | 474 | if (!InitFitCH()) { |
55a288e5 | 475 | return kFALSE; |
476 | } | |
477 | fStatisticMean = 0.0; | |
478 | fNumberFit = 0; | |
479 | fNumberFitSuccess = 0; | |
480 | fNumberEnt = 0; | |
55a288e5 | 481 | // Init fCountDet and fCount |
482 | InitfCountDetAndfCount(0); | |
55a288e5 | 483 | // Beginning of the loop between dect1 and dect2 |
3a0f6479 | 484 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
485 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 486 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 487 | ReconstructFitRowMinRowMax(idect,0); |
3a0f6479 | 488 | // Take the histo |
55a288e5 | 489 | Double_t nentries = 0.0; |
490 | Double_t mean = 0.0; | |
e526983e | 491 | if(!calvect->GetCHEntries(fCountDet)) { |
492 | NotEnoughStatisticCH(idect); | |
493 | continue; | |
494 | } | |
495 | ||
496 | TString tname("CH"); | |
497 | tname += idect; | |
498 | TH1F *projch = calvect->ConvertVectorCHHisto(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0)))),(const char *) tname); | |
499 | projch->SetDirectory(0); | |
500 | for (Int_t k = 0; k < calvect->GetNumberBinCharge(); k++) { | |
501 | nentries += projch->GetBinContent(k+1); | |
502 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); | |
503 | } | |
504 | if (nentries > 0) { | |
505 | fNumberEnt++; | |
506 | mean /= nentries; | |
507 | } | |
508 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
509 | // Rebin | |
510 | if (fRebin > 1) { | |
511 | projch = ReBin((TH1F *) projch); | |
55a288e5 | 512 | } |
55a288e5 | 513 | // This detector has not enough statistics or was not found in VectorCH |
3a0f6479 | 514 | if (nentries <= fMinEntries) { |
515 | NotEnoughStatisticCH(idect); | |
55a288e5 | 516 | continue; |
55a288e5 | 517 | } |
55a288e5 | 518 | // Statistic of the histos fitted |
55a288e5 | 519 | fStatisticMean += nentries; |
520 | fNumberFit++; | |
3a0f6479 | 521 | //Method choosen |
522 | switch(fMethod) | |
523 | { | |
524 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
525 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
526 | case 2: FitCH((TH1 *) projch, mean); break; | |
527 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
528 | default: return kFALSE; | |
529 | } | |
55a288e5 | 530 | // Fill Infos Fit |
3a0f6479 | 531 | FillInfosFitCH(idect); |
55a288e5 | 532 | } // Boucle object |
55a288e5 | 533 | // Normierungcharge |
3a0f6479 | 534 | if (fDebugLevel != 1) { |
55a288e5 | 535 | NormierungCharge(); |
536 | } | |
55a288e5 | 537 | // Mean Statistics |
538 | if (fNumberFit > 0) { | |
3a0f6479 | 539 | 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 | 540 | fStatisticMean = fStatisticMean / fNumberFit; |
541 | } | |
542 | else { | |
543 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
544 | } | |
3a0f6479 | 545 | delete fDebugStreamer; |
546 | fDebugStreamer = 0x0; | |
55a288e5 | 547 | return kTRUE; |
55a288e5 | 548 | } |
54f2ff1c | 549 | //____________Functions fit Online CH2d________________________________________ |
550 | Double_t AliTRDCalibraFit::AnalyseCHAllTogether(const TH2I *ch) | |
551 | { | |
552 | // | |
553 | // Fit the 1D histos, projections of the 2D ch on the Xaxis, for each | |
554 | // calibration group normalized the resulted coefficients (to 1 normally) | |
555 | // | |
556 | Int_t nbins = ch->GetNbinsX();// charge | |
557 | Int_t nybins = ch->GetNbinsY();// groups number | |
558 | // Take the histo | |
559 | TH1I *projch = (TH1I *) ch->ProjectionX("projch",1,nybins+1,(Option_t *)"e"); | |
560 | projch->SetDirectory(0); | |
561 | // Number of entries for this calibration group | |
562 | Double_t nentries = 0.0; | |
563 | Double_t mean = 0.0; | |
564 | for (Int_t k = 0; k < nbins; k++) { | |
565 | nentries += projch->GetBinContent(k+1); | |
566 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); | |
567 | projch->SetBinError(k+1,TMath::Sqrt(projch->GetBinContent(k+1))); | |
568 | } | |
569 | projch->SetEntries(nentries); | |
570 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
571 | if (nentries > 0) { | |
572 | fNumberEnt++; | |
573 | mean /= nentries; | |
574 | } | |
575 | // This detector has not enough statistics or was off | |
576 | if (nentries <= fMinEntries) { | |
577 | delete projch; | |
578 | AliInfo(Form("There are %d entries for all together, it is not enough (%d)",(Int_t) nentries, fMinEntries)); | |
579 | return -100.0; | |
580 | } | |
581 | //Method choosen | |
582 | switch(fMethod) | |
583 | { | |
584 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
585 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
586 | case 2: FitCH((TH1 *) projch, mean); break; | |
587 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
588 | default: return kFALSE; | |
589 | } | |
590 | delete fDebugStreamer; | |
591 | fDebugStreamer = 0x0; | |
592 | ||
593 | if(fCurrentCoef[0] > 0.0) return fCurrentCoef[0]; | |
594 | else return -100.0; | |
595 | ||
596 | } | |
3a0f6479 | 597 | //________________functions fit Online PH2d____________________________________ |
979b168f | 598 | Bool_t AliTRDCalibraFit::AnalysePH(const TProfile2D *ph) |
55a288e5 | 599 | { |
600 | // | |
3a0f6479 | 601 | // Take the 1D profiles (average pulse height), projections of the 2D PH |
602 | // on the Xaxis, for each calibration group | |
603 | // Reconstruct a drift velocity | |
604 | // A first calibration of T0 is also made using the same method | |
55a288e5 | 605 | // |
606 | ||
3a0f6479 | 607 | // Set the calibration mode |
4c865c34 | 608 | //const char *name = ph->GetTitle(); |
609 | TString name = ph->GetTitle(); | |
64942b85 | 610 | if(!SetModeCalibration(name,1)) return kFALSE; |
3a0f6479 | 611 | |
6aafa7ea | 612 | //printf("Mode calibration set\n"); |
613 | ||
3a0f6479 | 614 | // Number of Xbins (detectors or groups of pads) |
615 | Int_t nbins = ph->GetNbinsX();// time | |
616 | Int_t nybins = ph->GetNbinsY();// calibration group | |
617 | if (!InitFit(nybins,1)) { | |
55a288e5 | 618 | return kFALSE; |
619 | } | |
6aafa7ea | 620 | |
621 | //printf("Init fit\n"); | |
622 | ||
3a0f6479 | 623 | if (!InitFitPH()) { |
55a288e5 | 624 | return kFALSE; |
625 | } | |
6aafa7ea | 626 | |
627 | //printf("Init fit PH\n"); | |
628 | ||
55a288e5 | 629 | fStatisticMean = 0.0; |
630 | fNumberFit = 0; | |
631 | fNumberFitSuccess = 0; | |
632 | fNumberEnt = 0; | |
55a288e5 | 633 | // Init fCountDet and fCount |
3a0f6479 | 634 | InitfCountDetAndfCount(1); |
6aafa7ea | 635 | //printf("Init Count Det and fCount %d, %d\n",fDect1,fDect2); |
636 | ||
3a0f6479 | 637 | // Beginning of the loop |
638 | for (Int_t idect = fDect1; idect < fDect2; idect++) { | |
6aafa7ea | 639 | //printf("idect = %d\n",idect); |
3a0f6479 | 640 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... |
641 | UpdatefCountDetAndfCount(idect,1); | |
642 | ReconstructFitRowMinRowMax(idect,1); | |
643 | // Take the histo | |
644 | TH1D *projph = (TH1D *) ph->ProjectionX("projph",idect+1,idect+1,(Option_t *) "e"); | |
645 | projph->SetDirectory(0); | |
646 | // Number of entries for this calibration group | |
647 | Double_t nentries = 0; | |
648 | for (Int_t k = 0; k < nbins; k++) { | |
649 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
650 | nentries += ph->GetBinEntries(binnb); | |
55a288e5 | 651 | } |
55a288e5 | 652 | if (nentries > 0) { |
3a0f6479 | 653 | fNumberEnt++; |
654 | } | |
655 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
656 | // This detector has not enough statistics or was off | |
657 | if (nentries <= fMinEntries) { | |
658 | //printf("Not enough statistic!\n"); | |
64942b85 | 659 | NotEnoughStatisticPH(idect,nentries); |
3a0f6479 | 660 | if (fDebugLevel != 1) { |
661 | delete projph; | |
662 | } | |
55a288e5 | 663 | continue; |
55a288e5 | 664 | } |
3a0f6479 | 665 | // Statistics of the histos fitted |
55a288e5 | 666 | fNumberFit++; |
667 | fStatisticMean += nentries; | |
3a0f6479 | 668 | // Calcul of "real" coef |
669 | CalculVdriftCoefMean(); | |
670 | CalculT0CoefMean(); | |
671 | //Method choosen | |
6aafa7ea | 672 | //printf("Method\n"); |
3a0f6479 | 673 | switch(fMethod) |
674 | { | |
675 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
676 | case 1: FitPente((TH1 *) projph); break; | |
677 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
678 | default: return kFALSE; | |
679 | } | |
680 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
64942b85 | 681 | FillInfosFitPH(idect,nentries); |
3a0f6479 | 682 | // Memory!!! |
683 | if (fDebugLevel != 1) { | |
684 | delete projph; | |
55a288e5 | 685 | } |
55a288e5 | 686 | } // Boucle object |
55a288e5 | 687 | // Mean Statistic |
688 | if (fNumberFit > 0) { | |
3a0f6479 | 689 | 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 | 690 | fStatisticMean = fStatisticMean / fNumberFit; |
691 | } | |
692 | else { | |
693 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
694 | } | |
3a0f6479 | 695 | delete fDebugStreamer; |
696 | fDebugStreamer = 0x0; | |
55a288e5 | 697 | return kTRUE; |
55a288e5 | 698 | } |
3a0f6479 | 699 | //____________Functions fit Online PH2d________________________________________ |
700 | Bool_t AliTRDCalibraFit::AnalysePH(AliTRDCalibraVector *calvect) | |
55a288e5 | 701 | { |
702 | // | |
3a0f6479 | 703 | // Reconstruct the average pulse height from the vectorPH for each |
704 | // calibration group | |
705 | // Reconstruct a drift velocity | |
55a288e5 | 706 | // A first calibration of T0 is also made using the same method (slope method) |
707 | // | |
708 | ||
3a0f6479 | 709 | // Set the calibration mode |
4c865c34 | 710 | //const char *name = calvect->GetNamePH(); |
711 | TString name = calvect->GetNamePH(); | |
64942b85 | 712 | if(!SetModeCalibration(name,1)) return kFALSE; |
3a0f6479 | 713 | |
714 | // Number of Xbins (detectors or groups of pads) | |
715 | if (!InitFit((432*calvect->GetDetCha0(1)+108*calvect->GetDetCha2(1)),1)) { | |
55a288e5 | 716 | return kFALSE; |
717 | } | |
3a0f6479 | 718 | if (!InitFitPH()) { |
55a288e5 | 719 | return kFALSE; |
720 | } | |
721 | fStatisticMean = 0.0; | |
722 | fNumberFit = 0; | |
723 | fNumberFitSuccess = 0; | |
724 | fNumberEnt = 0; | |
55a288e5 | 725 | // Init fCountDet and fCount |
726 | InitfCountDetAndfCount(1); | |
55a288e5 | 727 | // Beginning of the loop |
3a0f6479 | 728 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
729 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 730 | UpdatefCountDetAndfCount(idect,1); |
55a288e5 | 731 | ReconstructFitRowMinRowMax(idect,1); |
3a0f6479 | 732 | // Take the histo |
3a0f6479 | 733 | fEntriesCurrent = 0; |
e526983e | 734 | if(!calvect->GetPHEntries(fCountDet)) { |
735 | NotEnoughStatisticPH(idect,fEntriesCurrent); | |
736 | continue; | |
3a0f6479 | 737 | } |
e526983e | 738 | TString tname("PH"); |
739 | tname += idect; | |
740 | TH1F *projph = calvect->CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPHTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname)),fEntriesCurrent); | |
741 | projph->SetDirectory(0); | |
742 | if(fEntriesCurrent > 0) fNumberEnt++; | |
3a0f6479 | 743 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); |
55a288e5 | 744 | // This detector has not enough statistics or was off |
3a0f6479 | 745 | if (fEntriesCurrent <= fMinEntries) { |
746 | //printf("Not enough stat!\n"); | |
64942b85 | 747 | NotEnoughStatisticPH(idect,fEntriesCurrent); |
55a288e5 | 748 | continue; |
55a288e5 | 749 | } |
3a0f6479 | 750 | // Statistic of the histos fitted |
55a288e5 | 751 | fNumberFit++; |
3a0f6479 | 752 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 753 | // Calcul of "real" coef |
3a0f6479 | 754 | CalculVdriftCoefMean(); |
755 | CalculT0CoefMean(); | |
756 | //Method choosen | |
757 | switch(fMethod) | |
758 | { | |
759 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
760 | case 1: FitPente((TH1 *) projph); break; | |
761 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
762 | default: return kFALSE; | |
763 | } | |
55a288e5 | 764 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
64942b85 | 765 | FillInfosFitPH(idect,fEntriesCurrent); |
55a288e5 | 766 | } // Boucle object |
e526983e | 767 | |
55a288e5 | 768 | // Mean Statistic |
769 | if (fNumberFit > 0) { | |
3a0f6479 | 770 | 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 | 771 | fStatisticMean = fStatisticMean / fNumberFit; |
772 | } | |
773 | else { | |
774 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
775 | } | |
3a0f6479 | 776 | delete fDebugStreamer; |
777 | fDebugStreamer = 0x0; | |
55a288e5 | 778 | return kTRUE; |
55a288e5 | 779 | } |
3a0f6479 | 780 | //____________Functions fit Online PRF2d_______________________________________ |
979b168f | 781 | Bool_t AliTRDCalibraFit::AnalysePRF(const TProfile2D *prf) |
55a288e5 | 782 | { |
783 | // | |
3a0f6479 | 784 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
785 | // on the Xaxis, for each calibration group | |
786 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 787 | // |
788 | ||
3a0f6479 | 789 | // Set the calibration mode |
4c865c34 | 790 | //const char *name = prf->GetTitle(); |
791 | TString name = prf->GetTitle(); | |
64942b85 | 792 | if(!SetModeCalibration(name,2)) return kFALSE; |
55a288e5 | 793 | |
3a0f6479 | 794 | // Number of Ybins (detectors or groups of pads) |
795 | Int_t nybins = prf->GetNbinsY();// calibration groups | |
796 | Int_t nbins = prf->GetNbinsX();// bins | |
797 | Int_t nbg = GetNumberOfGroupsPRF((const char *)prf->GetTitle()); | |
798 | if((nbg > 0) || (nbg == -1)) return kFALSE; | |
799 | if (!InitFit(nybins,2)) { | |
55a288e5 | 800 | return kFALSE; |
801 | } | |
3a0f6479 | 802 | if (!InitFitPRF()) { |
55a288e5 | 803 | return kFALSE; |
804 | } | |
805 | fStatisticMean = 0.0; | |
806 | fNumberFit = 0; | |
807 | fNumberFitSuccess = 0; | |
808 | fNumberEnt = 0; | |
55a288e5 | 809 | // Init fCountDet and fCount |
3a0f6479 | 810 | InitfCountDetAndfCount(2); |
55a288e5 | 811 | // Beginning of the loop |
3a0f6479 | 812 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
813 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
814 | UpdatefCountDetAndfCount(idect,2); | |
815 | ReconstructFitRowMinRowMax(idect,2); | |
816 | // Take the histo | |
817 | TH1D *projprf = (TH1D *) prf->ProjectionX("projprf",idect+1,idect+1,(Option_t *) "e"); | |
818 | projprf->SetDirectory(0); | |
819 | // Number of entries for this calibration group | |
820 | Double_t nentries = 0; | |
821 | for (Int_t k = 0; k < nbins; k++) { | |
822 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
823 | nentries += prf->GetBinEntries(binnb); | |
55a288e5 | 824 | } |
3a0f6479 | 825 | if(nentries > 0) fNumberEnt++; |
55a288e5 | 826 | // This detector has not enough statistics or was off |
3a0f6479 | 827 | if (nentries <= fMinEntries) { |
828 | NotEnoughStatisticPRF(idect); | |
829 | if (fDebugLevel != 1) { | |
830 | delete projprf; | |
55a288e5 | 831 | } |
55a288e5 | 832 | continue; |
55a288e5 | 833 | } |
3a0f6479 | 834 | // Statistics of the histos fitted |
55a288e5 | 835 | fNumberFit++; |
3a0f6479 | 836 | fStatisticMean += nentries; |
55a288e5 | 837 | // Calcul of "real" coef |
3a0f6479 | 838 | CalculPRFCoefMean(); |
839 | //Method choosen | |
840 | switch(fMethod) | |
841 | { | |
842 | case 0: FitPRF((TH1 *) projprf); break; | |
843 | case 1: RmsPRF((TH1 *) projprf); break; | |
844 | default: return kFALSE; | |
845 | } | |
55a288e5 | 846 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 847 | FillInfosFitPRF(idect); |
55a288e5 | 848 | // Memory!!! |
3a0f6479 | 849 | if (fDebugLevel != 1) { |
850 | delete projprf; | |
55a288e5 | 851 | } |
55a288e5 | 852 | } // Boucle object |
55a288e5 | 853 | // Mean Statistic |
854 | if (fNumberFit > 0) { | |
855 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
856 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
857 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
858 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
859 | fStatisticMean = fStatisticMean / fNumberFit; | |
860 | } | |
861 | else { | |
862 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
863 | } | |
3a0f6479 | 864 | delete fDebugStreamer; |
865 | fDebugStreamer = 0x0; | |
55a288e5 | 866 | return kTRUE; |
55a288e5 | 867 | } |
3a0f6479 | 868 | //____________Functions fit Online PRF2d_______________________________________ |
979b168f | 869 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(const TProfile2D *prf) |
55a288e5 | 870 | { |
871 | // | |
3a0f6479 | 872 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
873 | // on the Xaxis, for each calibration group | |
874 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 875 | // |
3a0f6479 | 876 | |
877 | // Set the calibration mode | |
4c865c34 | 878 | //const char *name = prf->GetTitle(); |
879 | TString name = prf->GetTitle(); | |
64942b85 | 880 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 881 | |
882 | // Number of Ybins (detectors or groups of pads) | |
883 | TAxis *xprf = prf->GetXaxis(); | |
884 | TAxis *yprf = prf->GetYaxis(); | |
885 | Int_t nybins = yprf->GetNbins();// calibration groups | |
886 | Int_t nbins = xprf->GetNbins();// bins | |
887 | Float_t lowedge = (Float_t) xprf->GetBinLowEdge(1);//lowedge in bins | |
888 | Float_t upedge = (Float_t) xprf->GetBinUpEdge(nbins);//upedge in bins | |
889 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
890 | if(nbg == -1) return kFALSE; | |
891 | if(nbg > 0) fMethod = 1; | |
892 | else fMethod = 0; | |
893 | if (!InitFit(nybins,2)) { | |
55a288e5 | 894 | return kFALSE; |
895 | } | |
3a0f6479 | 896 | if (!InitFitPRF()) { |
55a288e5 | 897 | return kFALSE; |
898 | } | |
899 | fStatisticMean = 0.0; | |
3a0f6479 | 900 | fNumberFit = 0; |
55a288e5 | 901 | fNumberFitSuccess = 0; |
902 | fNumberEnt = 0; | |
55a288e5 | 903 | // Init fCountDet and fCount |
3a0f6479 | 904 | InitfCountDetAndfCount(2); |
55a288e5 | 905 | // Beginning of the loop |
3a0f6479 | 906 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
907 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... | |
908 | UpdatefCountDetAndfCount(idect,2); | |
909 | ReconstructFitRowMinRowMax(idect,2); | |
910 | // Build the array of entries and sum | |
911 | TArrayD arraye = TArrayD(nbins); | |
912 | TArrayD arraym = TArrayD(nbins); | |
913 | TArrayD arrayme = TArrayD(nbins); | |
914 | Double_t nentries = 0; | |
915 | //printf("nbins %d\n",nbins); | |
916 | for (Int_t k = 0; k < nbins; k++) { | |
917 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
918 | Double_t entries = (Double_t)prf->GetBinEntries(binnb); | |
919 | Double_t mean = (Double_t)prf->GetBinContent(binnb); | |
920 | Double_t error = (Double_t)prf->GetBinError(binnb); | |
921 | //printf("for %d we have %f\n",k,entries); | |
922 | nentries += entries; | |
923 | arraye.AddAt(entries,k); | |
924 | arraym.AddAt(mean,k); | |
925 | arrayme.AddAt(error,k); | |
55a288e5 | 926 | } |
3a0f6479 | 927 | if(nentries > 0) fNumberEnt++; |
928 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 929 | // This detector has not enough statistics or was off |
3a0f6479 | 930 | if (nentries <= fMinEntries) { |
931 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 932 | continue; |
55a288e5 | 933 | } |
55a288e5 | 934 | // Statistics of the histos fitted |
55a288e5 | 935 | fNumberFit++; |
3a0f6479 | 936 | fStatisticMean += nentries; |
55a288e5 | 937 | // Calcul of "real" coef |
3a0f6479 | 938 | CalculPRFCoefMean(); |
939 | //Method choosen | |
940 | switch(fMethod) | |
941 | { | |
942 | case 0: FitPRFGausMI( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbins, lowedge, upedge); break; | |
943 | case 1: FitTnpRange( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbg, nbins); break; | |
944 | default: return kFALSE; | |
945 | } | |
55a288e5 | 946 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 947 | FillInfosFitPRF(idect); |
55a288e5 | 948 | } // Boucle object |
3a0f6479 | 949 | // Mean Statistic |
55a288e5 | 950 | if (fNumberFit > 0) { |
951 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
952 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
953 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
954 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
955 | fStatisticMean = fStatisticMean / fNumberFit; | |
956 | } | |
957 | else { | |
958 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
959 | } | |
3a0f6479 | 960 | delete fDebugStreamer; |
961 | fDebugStreamer = 0x0; | |
55a288e5 | 962 | return kTRUE; |
55a288e5 | 963 | } |
55a288e5 | 964 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 965 | Bool_t AliTRDCalibraFit::AnalysePRF(AliTRDCalibraVector *calvect) |
55a288e5 | 966 | { |
967 | // | |
3a0f6479 | 968 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for |
969 | // each calibration group | |
55a288e5 | 970 | // Fit with a gaussian to reconstruct the sigma of the pad response function |
55a288e5 | 971 | // |
972 | ||
3a0f6479 | 973 | // Set the calibra mode |
4c865c34 | 974 | //const char *name = calvect->GetNamePRF(); |
975 | TString name = calvect->GetNamePRF(); | |
64942b85 | 976 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 977 | //printf("test0 %s\n",name); |
55a288e5 | 978 | |
979 | // Number of Xbins (detectors or groups of pads) | |
3a0f6479 | 980 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { |
981 | //printf("test1\n"); | |
982 | return kFALSE; | |
983 | } | |
984 | if (!InitFitPRF()) { | |
985 | ///printf("test2\n"); | |
55a288e5 | 986 | return kFALSE; |
987 | } | |
988 | fStatisticMean = 0.0; | |
989 | fNumberFit = 0; | |
990 | fNumberFitSuccess = 0; | |
991 | fNumberEnt = 0; | |
55a288e5 | 992 | // Init fCountDet and fCount |
993 | InitfCountDetAndfCount(2); | |
55a288e5 | 994 | // Beginning of the loop |
3a0f6479 | 995 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
996 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........ | |
55a288e5 | 997 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 998 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 999 | // Take the histo |
3a0f6479 | 1000 | fEntriesCurrent = 0; |
e526983e | 1001 | if(!calvect->GetPRFEntries(fCountDet)) { |
1002 | NotEnoughStatisticPRF(idect); | |
1003 | continue; | |
3a0f6479 | 1004 | } |
e526983e | 1005 | TString tname("PRF"); |
1006 | tname += idect; | |
1007 | TH1F *projprf = calvect->CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname)),fEntriesCurrent); | |
1008 | projprf->SetDirectory(0); | |
1009 | if(fEntriesCurrent > 0) fNumberEnt++; | |
55a288e5 | 1010 | // This detector has not enough statistics or was off |
3a0f6479 | 1011 | if (fEntriesCurrent <= fMinEntries) { |
1012 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 1013 | continue; |
55a288e5 | 1014 | } |
3a0f6479 | 1015 | // Statistic of the histos fitted |
55a288e5 | 1016 | fNumberFit++; |
3a0f6479 | 1017 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 1018 | // Calcul of "real" coef |
3a0f6479 | 1019 | CalculPRFCoefMean(); |
1020 | //Method choosen | |
1021 | switch(fMethod) | |
1022 | { | |
1023 | case 1: FitPRF((TH1 *) projprf); break; | |
1024 | case 2: RmsPRF((TH1 *) projprf); break; | |
1025 | default: return kFALSE; | |
1026 | } | |
55a288e5 | 1027 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 1028 | FillInfosFitPRF(idect); |
55a288e5 | 1029 | } // Boucle object |
3a0f6479 | 1030 | // Mean Statistics |
55a288e5 | 1031 | if (fNumberFit > 0) { |
3a0f6479 | 1032 | 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 | 1033 | } |
1034 | else { | |
1035 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1036 | } | |
3a0f6479 | 1037 | delete fDebugStreamer; |
1038 | fDebugStreamer = 0x0; | |
55a288e5 | 1039 | return kTRUE; |
55a288e5 | 1040 | } |
55a288e5 | 1041 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 1042 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(AliTRDCalibraVector *calvect) |
55a288e5 | 1043 | { |
1044 | // | |
1045 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for | |
1046 | // each calibration group | |
1047 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 1048 | // |
1049 | ||
3a0f6479 | 1050 | // Set the calibra mode |
4c865c34 | 1051 | //const char *name = calvect->GetNamePRF(); |
1052 | TString name = calvect->GetNamePRF(); | |
64942b85 | 1053 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 1054 | //printf("test0 %s\n",name); |
1055 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
64942b85 | 1056 | //printf("test1 %d\n",nbg); |
3a0f6479 | 1057 | if(nbg == -1) return kFALSE; |
1058 | if(nbg > 0) fMethod = 1; | |
1059 | else fMethod = 0; | |
1060 | // Number of Xbins (detectors or groups of pads) | |
1061 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { | |
1062 | //printf("test2\n"); | |
55a288e5 | 1063 | return kFALSE; |
1064 | } | |
3a0f6479 | 1065 | if (!InitFitPRF()) { |
1066 | //printf("test3\n"); | |
55a288e5 | 1067 | return kFALSE; |
1068 | } | |
1069 | fStatisticMean = 0.0; | |
1070 | fNumberFit = 0; | |
1071 | fNumberFitSuccess = 0; | |
1072 | fNumberEnt = 0; | |
3a0f6479 | 1073 | // Variables |
1074 | Int_t nbins = 0; | |
1075 | Double_t *arrayx = 0; | |
1076 | Double_t *arraye = 0; | |
1077 | Double_t *arraym = 0; | |
1078 | Double_t *arrayme = 0; | |
1079 | Float_t lowedge = 0.0; | |
1080 | Float_t upedge = 0.0; | |
55a288e5 | 1081 | // Init fCountDet and fCount |
1082 | InitfCountDetAndfCount(2); | |
55a288e5 | 1083 | // Beginning of the loop |
3a0f6479 | 1084 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
1085 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
55a288e5 | 1086 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 1087 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 1088 | // Take the histo |
3a0f6479 | 1089 | fEntriesCurrent = 0; |
e526983e | 1090 | if(!calvect->GetPRFEntries(fCountDet)) { |
1091 | NotEnoughStatisticPRF(idect); | |
1092 | continue; | |
3a0f6479 | 1093 | } |
e526983e | 1094 | TString tname("PRF"); |
1095 | tname += idect; | |
1096 | TGraphErrors *projprftree = calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname); | |
1097 | nbins = projprftree->GetN(); | |
1098 | arrayx = (Double_t *)projprftree->GetX(); | |
1099 | arraye = (Double_t *)projprftree->GetEX(); | |
1100 | arraym = (Double_t *)projprftree->GetY(); | |
1101 | arrayme = (Double_t *)projprftree->GetEY(); | |
1102 | Float_t step = arrayx[1]-arrayx[0]; | |
1103 | lowedge = arrayx[0] - step/2.0; | |
1104 | upedge = arrayx[(nbins-1)] + step/2.0; | |
1105 | //printf("nbins est %d\n",nbins); | |
1106 | for(Int_t k = 0; k < nbins; k++){ | |
1107 | fEntriesCurrent += (Int_t)arraye[k]; | |
1108 | //printf("for %d we have %f, %f\n",k,arraye[k],((projprftree->GetEX())[k])); | |
1109 | if(arraye[k]>0.0) arrayme[k] = TMath::Sqrt(TMath::Abs(arrayme[k]-arraym[k]*arraym[k])/arraye[k]); | |
1110 | } | |
1111 | if(fEntriesCurrent > 0) fNumberEnt++; | |
3a0f6479 | 1112 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); |
1113 | // This detector has not enough statistics or was off | |
1114 | if (fEntriesCurrent <= fMinEntries) { | |
1115 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 1116 | continue; |
55a288e5 | 1117 | } |
55a288e5 | 1118 | // Statistic of the histos fitted |
55a288e5 | 1119 | fNumberFit++; |
1120 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1121 | // Calcul of "real" coef |
3a0f6479 | 1122 | CalculPRFCoefMean(); |
1123 | //Method choosen | |
1124 | switch(fMethod) | |
1125 | { | |
1126 | case 0: FitPRFGausMI(arraye,arraym,arrayme,nbins,lowedge,upedge); break; | |
1127 | case 1: FitTnpRange(arraye,arraym,arrayme,nbg,nbins); break; | |
1128 | default: return kFALSE; | |
1129 | } | |
55a288e5 | 1130 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 1131 | FillInfosFitPRF(idect); |
55a288e5 | 1132 | } // Boucle object |
55a288e5 | 1133 | // Mean Statistics |
1134 | if (fNumberFit > 0) { | |
3a0f6479 | 1135 | 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 | 1136 | } |
1137 | else { | |
1138 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1139 | } | |
3a0f6479 | 1140 | delete fDebugStreamer; |
1141 | fDebugStreamer = 0x0; | |
55a288e5 | 1142 | return kTRUE; |
55a288e5 | 1143 | } |
3a0f6479 | 1144 | //____________Functions fit Online CH2d________________________________________ |
1145 | Bool_t AliTRDCalibraFit::AnalyseLinearFitters(AliTRDCalibraVdriftLinearFit *calivdli) | |
55a288e5 | 1146 | { |
1147 | // | |
3a0f6479 | 1148 | // The linear method |
55a288e5 | 1149 | // |
1150 | ||
55a288e5 | 1151 | fStatisticMean = 0.0; |
1152 | fNumberFit = 0; | |
1153 | fNumberFitSuccess = 0; | |
1154 | fNumberEnt = 0; | |
3a0f6479 | 1155 | if(!InitFitLinearFitter()) return kFALSE; |
55a288e5 | 1156 | |
3a0f6479 | 1157 | |
1158 | for(Int_t idet = 0; idet < 540; idet++){ | |
55a288e5 | 1159 | |
55a288e5 | 1160 | |
3a0f6479 | 1161 | //printf("detector number %d\n",idet); |
55a288e5 | 1162 | |
3a0f6479 | 1163 | // Take the result |
1164 | TVectorD param(2); | |
1165 | TVectorD error(3); | |
1166 | fEntriesCurrent = 0; | |
1167 | fCountDet = idet; | |
1168 | Bool_t here = calivdli->GetParam(idet,¶m); | |
1169 | Bool_t heree = calivdli->GetError(idet,&error); | |
1170 | //printf("here %d and heree %d\n",here, heree); | |
1171 | if(heree) { | |
1172 | fEntriesCurrent = (Int_t) error[2]; | |
55a288e5 | 1173 | fNumberEnt++; |
55a288e5 | 1174 | } |
3a0f6479 | 1175 | //printf("Number of entries %d\n",fEntriesCurrent); |
1176 | // Nothing found or not enough statistic | |
1177 | if((!heree) || (!here) || (fEntriesCurrent <= fMinEntries)) { | |
1178 | NotEnoughStatisticLinearFitter(); | |
1179 | continue; | |
1180 | } | |
1181 | //param.Print(); | |
1182 | //error.Print(); | |
1183 | //Statistics | |
1184 | fNumberFit++; | |
1185 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1186 | |
3a0f6479 | 1187 | // Check the fit |
1188 | if((-(param[1])) <= 0.0) { | |
1189 | NotEnoughStatisticLinearFitter(); | |
1190 | continue; | |
1191 | } | |
55a288e5 | 1192 | |
3a0f6479 | 1193 | // CalculDatabaseVdriftandTan |
1194 | CalculVdriftLorentzCoef(); | |
55a288e5 | 1195 | |
3a0f6479 | 1196 | // Statistics |
1197 | fNumberFitSuccess ++; | |
55a288e5 | 1198 | |
3a0f6479 | 1199 | // Put the fCurrentCoef |
1200 | fCurrentCoef[0] = -param[1]; | |
1201 | // here the database must be the one of the reconstruction for the lorentz angle.... | |
1202 | fCurrentCoef2[0] = (param[0]+fCurrentCoef[1]*fCurrentCoef2[1])/fCurrentCoef[0]; | |
1203 | fCurrentCoefE = error[1]; | |
1204 | fCurrentCoefE2 = error[0]; | |
daa7dc79 | 1205 | if((TMath::Abs(fCurrentCoef2[0]) > 0.0000001) && (TMath::Abs(param[0]) > 0.0000001)){ |
3a0f6479 | 1206 | fCurrentCoefE2 = (fCurrentCoefE2/param[0]+fCurrentCoefE/fCurrentCoef[0])*fCurrentCoef2[0]; |
1207 | } | |
55a288e5 | 1208 | |
3a0f6479 | 1209 | // Fill |
1210 | FillInfosFitLinearFitter(); | |
55a288e5 | 1211 | |
55a288e5 | 1212 | |
55a288e5 | 1213 | } |
55a288e5 | 1214 | // Mean Statistics |
1215 | if (fNumberFit > 0) { | |
3a0f6479 | 1216 | 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 | 1217 | } |
1218 | else { | |
1219 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1220 | } | |
3a0f6479 | 1221 | delete fDebugStreamer; |
1222 | fDebugStreamer = 0x0; | |
55a288e5 | 1223 | return kTRUE; |
1224 | ||
54f2ff1c | 1225 | } |
1226 | //____________Functions fit Online CH2d________________________________________ | |
1227 | Double_t AliTRDCalibraFit::AnalyseLinearFittersAllTogether(AliTRDCalibraVdriftLinearFit *calivdli) | |
1228 | { | |
1229 | // | |
1230 | // The linear method | |
1231 | // | |
1232 | ||
1233 | // Add histos | |
1234 | ||
1235 | TH2S *linearfitterhisto = 0x0; | |
1236 | ||
1237 | for(Int_t idet = 0; idet < 540; idet++){ | |
1238 | ||
1239 | TH2S * u = calivdli->GetLinearFitterHistoForce(idet); | |
1240 | if(idet == 0) linearfitterhisto = u; | |
1241 | else linearfitterhisto->Add(u); | |
1242 | ||
1243 | } | |
1244 | ||
1245 | // Fit | |
1246 | ||
1247 | Int_t entries = 0; | |
1248 | TAxis *xaxis = linearfitterhisto->GetXaxis(); | |
1249 | TAxis *yaxis = linearfitterhisto->GetYaxis(); | |
1250 | TLinearFitter linearfitter = TLinearFitter(2,"pol1"); | |
1251 | //printf("test\n"); | |
1252 | Double_t integral = linearfitterhisto->Integral(); | |
1253 | //printf("Integral is %f\n",integral); | |
1254 | Bool_t securitybreaking = kFALSE; | |
1255 | if(TMath::Abs(integral-1199) < 0.00001) securitybreaking = kTRUE; | |
1256 | for(Int_t ibinx = 0; ibinx < linearfitterhisto->GetNbinsX(); ibinx++){ | |
1257 | for(Int_t ibiny = 0; ibiny < linearfitterhisto->GetNbinsY(); ibiny++){ | |
1258 | if(linearfitterhisto->GetBinContent(ibinx+1,ibiny+1)>0){ | |
1259 | Double_t x = xaxis->GetBinCenter(ibinx+1); | |
1260 | Double_t y = yaxis->GetBinCenter(ibiny+1); | |
1261 | ||
1262 | for(Int_t k = 0; k < (Int_t)linearfitterhisto->GetBinContent(ibinx+1,ibiny+1); k++){ | |
1263 | if(!securitybreaking){ | |
1264 | linearfitter.AddPoint(&x,y); | |
1265 | entries++; | |
1266 | } | |
1267 | else { | |
1268 | if(entries< 1198){ | |
1269 | linearfitter.AddPoint(&x,y); | |
1270 | entries++; | |
1271 | } | |
1272 | } | |
1273 | } | |
1274 | ||
1275 | } | |
1276 | } | |
1277 | } | |
1278 | ||
1279 | //printf("Find %d entries for the detector %d\n",arrayI[cb],cb); | |
1280 | ||
1281 | // Eval the linear fitter | |
1282 | if(entries > fMinEntries){ | |
1283 | TVectorD par = TVectorD(2); | |
1284 | //printf("Fit\n"); | |
1285 | if((linearfitter.EvalRobust(0.8)==0)) { | |
1286 | //printf("Take the param\n"); | |
1287 | linearfitter.GetParameters(par); | |
1288 | //printf("Done\n"); | |
1289 | //par.Print(); | |
1290 | //printf("Finish\n"); | |
1291 | // Put the fCurrentCoef | |
1292 | fCurrentCoef[0] = -par[1]; | |
1293 | // here the database must be the one of the reconstruction for the lorentz angle.... | |
1294 | fCurrentCoef2[0] = (par[0]+fCurrentCoef[1]*fCurrentCoef2[1])/fCurrentCoef[0]; | |
1295 | ||
1296 | return fCurrentCoef[0]; | |
1297 | } | |
1298 | else return -100.0; | |
1299 | ||
1300 | ||
1301 | } | |
1302 | else { | |
1303 | return -100.0; | |
1304 | } | |
1305 | ||
1306 | delete linearfitterhisto; | |
1307 | delete fDebugStreamer; | |
1308 | fDebugStreamer = 0x0; | |
1309 | ||
55a288e5 | 1310 | } |
55a288e5 | 1311 | //____________Functions for seeing if the pad is really okey___________________ |
3a0f6479 | 1312 | //_____________________________________________________________________________ |
4c865c34 | 1313 | Int_t AliTRDCalibraFit::GetNumberOfGroupsPRF(TString nametitle) |
3a0f6479 | 1314 | { |
1315 | // | |
1316 | // Get numberofgroupsprf | |
1317 | // | |
1318 | ||
1319 | // Some patterns | |
1320 | const Char_t *pattern0 = "Ngp0"; | |
1321 | const Char_t *pattern1 = "Ngp1"; | |
1322 | const Char_t *pattern2 = "Ngp2"; | |
1323 | const Char_t *pattern3 = "Ngp3"; | |
1324 | const Char_t *pattern4 = "Ngp4"; | |
1325 | const Char_t *pattern5 = "Ngp5"; | |
1326 | const Char_t *pattern6 = "Ngp6"; | |
1327 | ||
1328 | // Nrphi mode | |
4c865c34 | 1329 | if (strstr(nametitle.Data(),pattern0)) { |
3a0f6479 | 1330 | return 0; |
1331 | } | |
4c865c34 | 1332 | if (strstr(nametitle.Data(),pattern1)) { |
3a0f6479 | 1333 | return 1; |
1334 | } | |
4c865c34 | 1335 | if (strstr(nametitle.Data(),pattern2)) { |
3a0f6479 | 1336 | return 2; |
1337 | } | |
4c865c34 | 1338 | if (strstr(nametitle.Data(),pattern3)) { |
3a0f6479 | 1339 | return 3; |
1340 | } | |
4c865c34 | 1341 | if (strstr(nametitle.Data(),pattern4)) { |
3a0f6479 | 1342 | return 4; |
1343 | } | |
4c865c34 | 1344 | if (strstr(nametitle.Data(),pattern5)) { |
3a0f6479 | 1345 | return 5; |
1346 | } | |
4c865c34 | 1347 | if (strstr(nametitle.Data(),pattern6)){ |
3a0f6479 | 1348 | return 6; |
1349 | } | |
1350 | else return -1; | |
1351 | ||
55a288e5 | 1352 | |
3a0f6479 | 1353 | } |
55a288e5 | 1354 | //_____________________________________________________________________________ |
4c865c34 | 1355 | Bool_t AliTRDCalibraFit::SetModeCalibration(TString name, Int_t i) |
55a288e5 | 1356 | { |
1357 | // | |
1358 | // Set fNz[i] and fNrphi[i] of the AliTRDCalibraFit::Instance() | |
3a0f6479 | 1359 | // corresponding to the given name |
55a288e5 | 1360 | // |
1361 | ||
3a0f6479 | 1362 | if(!SetNzFromTObject(name,i)) return kFALSE; |
1363 | if(!SetNrphiFromTObject(name,i)) return kFALSE; | |
1364 | ||
1365 | return kTRUE; | |
55a288e5 | 1366 | |
3a0f6479 | 1367 | } |
1368 | //_____________________________________________________________________________ | |
4c865c34 | 1369 | Bool_t AliTRDCalibraFit::SetNrphiFromTObject(TString name, Int_t i) |
3a0f6479 | 1370 | { |
1371 | // | |
1372 | // Set fNrphi[i] of the AliTRDCalibraFit::Instance() | |
1373 | // corresponding to the given TObject | |
1374 | // | |
1375 | ||
55a288e5 | 1376 | // Some patterns |
55a288e5 | 1377 | const Char_t *patternrphi0 = "Nrphi0"; |
1378 | const Char_t *patternrphi1 = "Nrphi1"; | |
1379 | const Char_t *patternrphi2 = "Nrphi2"; | |
1380 | const Char_t *patternrphi3 = "Nrphi3"; | |
1381 | const Char_t *patternrphi4 = "Nrphi4"; | |
1382 | const Char_t *patternrphi5 = "Nrphi5"; | |
1383 | const Char_t *patternrphi6 = "Nrphi6"; | |
1384 | ||
64942b85 | 1385 | |
1386 | const Char_t *patternrphi10 = "Nrphi10"; | |
1387 | const Char_t *patternrphi100 = "Nrphi100"; | |
1388 | const Char_t *patternz10 = "Nz10"; | |
1389 | const Char_t *patternz100 = "Nz100"; | |
1390 | ||
55a288e5 | 1391 | // Nrphi mode |
4c865c34 | 1392 | if ((strstr(name.Data(),patternrphi100)) && (strstr(name.Data(),patternz100))) { |
64942b85 | 1393 | fCalibraMode->SetAllTogether(i); |
1394 | fNbDet = 540; | |
1395 | if (fDebugLevel > 1) { | |
1396 | AliInfo(Form("fNbDet %d and 100",fNbDet)); | |
1397 | } | |
1398 | return kTRUE; | |
1399 | } | |
4c865c34 | 1400 | if ((strstr(name.Data(),patternrphi10)) && (strstr(name.Data(),patternz10))) { |
64942b85 | 1401 | fCalibraMode->SetPerSuperModule(i); |
1402 | fNbDet = 30; | |
1403 | if (fDebugLevel > 1) { | |
1404 | AliInfo(Form("fNDet %d and 100",fNbDet)); | |
1405 | } | |
1406 | return kTRUE; | |
1407 | } | |
1408 | ||
4c865c34 | 1409 | if (strstr(name.Data(),patternrphi0)) { |
55a288e5 | 1410 | fCalibraMode->SetNrphi(i ,0); |
64942b85 | 1411 | if (fDebugLevel > 1) { |
1412 | AliInfo(Form("fNbDet %d and 0",fNbDet)); | |
1413 | } | |
3a0f6479 | 1414 | return kTRUE; |
55a288e5 | 1415 | } |
4c865c34 | 1416 | if (strstr(name.Data(),patternrphi1)) { |
55a288e5 | 1417 | fCalibraMode->SetNrphi(i, 1); |
64942b85 | 1418 | if (fDebugLevel > 1) { |
1419 | AliInfo(Form("fNbDet %d and 1",fNbDet)); | |
1420 | } | |
3a0f6479 | 1421 | return kTRUE; |
55a288e5 | 1422 | } |
4c865c34 | 1423 | if (strstr(name.Data(),patternrphi2)) { |
55a288e5 | 1424 | fCalibraMode->SetNrphi(i, 2); |
64942b85 | 1425 | if (fDebugLevel > 1) { |
1426 | AliInfo(Form("fNbDet %d and 2",fNbDet)); | |
1427 | } | |
3a0f6479 | 1428 | return kTRUE; |
55a288e5 | 1429 | } |
4c865c34 | 1430 | if (strstr(name.Data(),patternrphi3)) { |
55a288e5 | 1431 | fCalibraMode->SetNrphi(i, 3); |
64942b85 | 1432 | if (fDebugLevel > 1) { |
1433 | AliInfo(Form("fNbDet %d and 3",fNbDet)); | |
1434 | } | |
3a0f6479 | 1435 | return kTRUE; |
55a288e5 | 1436 | } |
4c865c34 | 1437 | if (strstr(name.Data(),patternrphi4)) { |
55a288e5 | 1438 | fCalibraMode->SetNrphi(i, 4); |
64942b85 | 1439 | if (fDebugLevel > 1) { |
1440 | AliInfo(Form("fNbDet %d and 4",fNbDet)); | |
1441 | } | |
3a0f6479 | 1442 | return kTRUE; |
55a288e5 | 1443 | } |
4c865c34 | 1444 | if (strstr(name.Data(),patternrphi5)) { |
55a288e5 | 1445 | fCalibraMode->SetNrphi(i, 5); |
64942b85 | 1446 | if (fDebugLevel > 1) { |
1447 | AliInfo(Form("fNbDet %d and 5",fNbDet)); | |
1448 | } | |
3a0f6479 | 1449 | return kTRUE; |
55a288e5 | 1450 | } |
4c865c34 | 1451 | if (strstr(name.Data(),patternrphi6)) { |
55a288e5 | 1452 | fCalibraMode->SetNrphi(i, 6); |
64942b85 | 1453 | if (fDebugLevel > 1) { |
1454 | AliInfo(Form("fNbDet %d and 6",fNbDet)); | |
1455 | } | |
55a288e5 | 1456 | return kTRUE; |
1457 | } | |
55a288e5 | 1458 | |
64942b85 | 1459 | if (fDebugLevel > 1) { |
1460 | AliInfo(Form("fNbDet %d and rest",fNbDet)); | |
1461 | } | |
3a0f6479 | 1462 | fCalibraMode->SetNrphi(i ,0); |
1463 | return kFALSE; | |
64942b85 | 1464 | |
55a288e5 | 1465 | } |
55a288e5 | 1466 | //_____________________________________________________________________________ |
4c865c34 | 1467 | Bool_t AliTRDCalibraFit::SetNzFromTObject(TString name, Int_t i) |
55a288e5 | 1468 | { |
1469 | // | |
3a0f6479 | 1470 | // Set fNz[i] of the AliTRDCalibraFit::Instance() |
1471 | // corresponding to the given TObject | |
55a288e5 | 1472 | // |
3a0f6479 | 1473 | |
1474 | // Some patterns | |
1475 | const Char_t *patternz0 = "Nz0"; | |
1476 | const Char_t *patternz1 = "Nz1"; | |
1477 | const Char_t *patternz2 = "Nz2"; | |
1478 | const Char_t *patternz3 = "Nz3"; | |
1479 | const Char_t *patternz4 = "Nz4"; | |
64942b85 | 1480 | |
1481 | const Char_t *patternrphi10 = "Nrphi10"; | |
1482 | const Char_t *patternrphi100 = "Nrphi100"; | |
1483 | const Char_t *patternz10 = "Nz10"; | |
1484 | const Char_t *patternz100 = "Nz100"; | |
1485 | ||
4c865c34 | 1486 | if ((strstr(name.Data(),patternrphi100)) && (strstr(name.Data(),patternz100))) { |
64942b85 | 1487 | fCalibraMode->SetAllTogether(i); |
1488 | fNbDet = 540; | |
1489 | if (fDebugLevel > 1) { | |
1490 | AliInfo(Form("fNbDet %d and 100",fNbDet)); | |
1491 | } | |
1492 | return kTRUE; | |
1493 | } | |
4c865c34 | 1494 | if ((strstr(name.Data(),patternrphi10)) && (strstr(name.Data(),patternz10))) { |
64942b85 | 1495 | fCalibraMode->SetPerSuperModule(i); |
1496 | fNbDet = 30; | |
1497 | if (fDebugLevel > 1) { | |
1498 | AliInfo(Form("fNbDet %d and 10",fNbDet)); | |
1499 | } | |
1500 | return kTRUE; | |
1501 | } | |
4c865c34 | 1502 | if (strstr(name.Data(),patternz0)) { |
3a0f6479 | 1503 | fCalibraMode->SetNz(i, 0); |
64942b85 | 1504 | if (fDebugLevel > 1) { |
1505 | AliInfo(Form("fNbDet %d and 0",fNbDet)); | |
1506 | } | |
3a0f6479 | 1507 | return kTRUE; |
55a288e5 | 1508 | } |
4c865c34 | 1509 | if (strstr(name.Data(),patternz1)) { |
3a0f6479 | 1510 | fCalibraMode->SetNz(i ,1); |
64942b85 | 1511 | if (fDebugLevel > 1) { |
1512 | AliInfo(Form("fNbDet %d and 1",fNbDet)); | |
1513 | } | |
3a0f6479 | 1514 | return kTRUE; |
55a288e5 | 1515 | } |
4c865c34 | 1516 | if (strstr(name.Data(),patternz2)) { |
3a0f6479 | 1517 | fCalibraMode->SetNz(i ,2); |
64942b85 | 1518 | if (fDebugLevel > 1) { |
1519 | AliInfo(Form("fNbDet %d and 2",fNbDet)); | |
1520 | } | |
3a0f6479 | 1521 | return kTRUE; |
55a288e5 | 1522 | } |
4c865c34 | 1523 | if (strstr(name.Data(),patternz3)) { |
3a0f6479 | 1524 | fCalibraMode->SetNz(i ,3); |
64942b85 | 1525 | if (fDebugLevel > 1) { |
1526 | AliInfo(Form("fNbDet %d and 3",fNbDet)); | |
1527 | } | |
3a0f6479 | 1528 | return kTRUE; |
55a288e5 | 1529 | } |
4c865c34 | 1530 | if (strstr(name.Data(),patternz4)) { |
3a0f6479 | 1531 | fCalibraMode->SetNz(i ,4); |
64942b85 | 1532 | if (fDebugLevel > 1) { |
1533 | AliInfo(Form("fNbDet %d and 4",fNbDet)); | |
1534 | } | |
3a0f6479 | 1535 | return kTRUE; |
55a288e5 | 1536 | } |
64942b85 | 1537 | |
1538 | if (fDebugLevel > 1) { | |
1539 | AliInfo(Form("fNbDet %d and rest",fNbDet)); | |
1540 | } | |
3a0f6479 | 1541 | fCalibraMode->SetNz(i ,0); |
1542 | return kFALSE; | |
1543 | } | |
64942b85 | 1544 | //______________________________________________________________________ |
6aafa7ea | 1545 | void AliTRDCalibraFit::RemoveOutliers(Int_t type, Bool_t perdetector){ |
1546 | // | |
1547 | // Remove the results too far from the mean value and rms | |
1548 | // type: 0 gain, 1 vdrift | |
1549 | // perdetector | |
1550 | // | |
1551 | ||
1552 | Int_t loop = (Int_t) fVectorFit.GetEntriesFast(); | |
1553 | if(loop != 540) { | |
1554 | AliInfo("The Vector Fit is not complete!"); | |
1555 | return; | |
1556 | } | |
1557 | Int_t detector = -1; | |
1558 | Int_t sector = -1; | |
1559 | Float_t value = 0.0; | |
1560 | ||
1561 | ///////////////////////////////// | |
1562 | // Calculate the mean values | |
1563 | //////////////////////////////// | |
1564 | // Initialisation | |
1565 | //////////////////////// | |
1566 | Double_t meanAll = 0.0; | |
1567 | Double_t rmsAll = 0.0; | |
1568 | Int_t countAll = 0; | |
1569 | //////////// | |
1570 | // compute | |
1571 | //////////// | |
1572 | for (Int_t k = 0; k < loop; k++) { | |
1573 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1574 | sector = GetSector(detector); | |
1575 | if(perdetector){ | |
1576 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[0]; | |
1577 | if(value > 0.0) { | |
1578 | rmsAll += value*value; | |
1579 | meanAll += value; | |
1580 | countAll++; | |
1581 | } | |
1582 | } | |
1583 | else { | |
1584 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1585 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1586 | for (Int_t row = 0; row < rowMax; row++) { | |
1587 | for (Int_t col = 0; col < colMax; col++) { | |
1588 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1589 | if(value > 0.0) { | |
1590 | rmsAll += value*value; | |
1591 | meanAll += value; | |
1592 | countAll++; | |
1593 | } | |
1594 | ||
1595 | } // Col | |
1596 | } // Row | |
1597 | } | |
1598 | } | |
1599 | if(countAll > 0) { | |
1600 | meanAll = meanAll/countAll; | |
1601 | rmsAll = TMath::Sqrt(TMath::Abs(rmsAll/countAll - (meanAll*meanAll))); | |
1602 | } | |
1603 | //printf("RemoveOutliers: meanAll %f and rmsAll %f\n",meanAll,rmsAll); | |
1604 | ///////////////////////////////////////////////// | |
1605 | // Remove outliers | |
1606 | //////////////////////////////////////////////// | |
1607 | Double_t defaultvalue = -1.0; | |
1608 | if(type==1) defaultvalue = -1.5; | |
1609 | for (Int_t k = 0; k < loop; k++) { | |
1610 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1611 | sector = GetSector(detector); | |
1612 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1613 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1614 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
1615 | ||
1616 | // remove the results too far away | |
1617 | for (Int_t row = 0; row < rowMax; row++) { | |
1618 | for (Int_t col = 0; col < colMax; col++) { | |
1619 | value = coef[(Int_t)(col*rowMax+row)]; | |
1620 | if((value > 0.0) && (rmsAll > 0.0) && (TMath::Abs(value-meanAll) > (2*rmsAll))) { | |
1621 | coef[(Int_t)(col*rowMax+row)] = defaultvalue; | |
1622 | } | |
1623 | } // Col | |
1624 | } // Row | |
1625 | } | |
1626 | } | |
1627 | //______________________________________________________________________ | |
1628 | void AliTRDCalibraFit::RemoveOutliers2(Bool_t perdetector){ | |
1629 | // | |
1630 | // Remove the results too far from the mean and rms | |
1631 | // perdetector | |
1632 | // | |
1633 | ||
1634 | Int_t loop = (Int_t) fVectorFit2.GetEntriesFast(); | |
1635 | if(loop != 540) { | |
1636 | AliInfo("The Vector Fit is not complete!"); | |
1637 | return; | |
1638 | } | |
1639 | Int_t detector = -1; | |
1640 | Int_t sector = -1; | |
1641 | Float_t value = 0.0; | |
1642 | ||
1643 | ///////////////////////////////// | |
1644 | // Calculate the mean values | |
1645 | //////////////////////////////// | |
1646 | // Initialisation | |
1647 | //////////////////////// | |
1648 | Double_t meanAll = 0.0; | |
1649 | Double_t rmsAll = 0.0; | |
1650 | Int_t countAll = 0; | |
1651 | ///////////// | |
1652 | // compute | |
1653 | //////////// | |
1654 | for (Int_t k = 0; k < loop; k++) { | |
1655 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1656 | sector = GetSector(detector); | |
1657 | if(perdetector){ | |
1658 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[0]; | |
1659 | if(value < 70.0) { | |
1660 | meanAll += value; | |
1661 | rmsAll += value*value; | |
1662 | countAll++; | |
1663 | } | |
1664 | } | |
1665 | else { | |
1666 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1667 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1668 | for (Int_t row = 0; row < rowMax; row++) { | |
1669 | for (Int_t col = 0; col < colMax; col++) { | |
1670 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1671 | if(value < 70.0) { | |
1672 | rmsAll += value*value; | |
1673 | meanAll += value; | |
1674 | countAll++; | |
1675 | } | |
1676 | } // Col | |
1677 | } // Row | |
1678 | } | |
1679 | } | |
1680 | if(countAll > 0) { | |
1681 | meanAll = meanAll/countAll; | |
1682 | rmsAll = TMath::Sqrt(TMath::Abs(rmsAll/countAll - (meanAll*meanAll))); | |
1683 | } | |
1684 | //printf("Remove outliers 2: meanAll %f, rmsAll %f\n",meanAll,rmsAll); | |
1685 | ///////////////////////////////////////////////// | |
1686 | // Remove outliers | |
1687 | //////////////////////////////////////////////// | |
1688 | for (Int_t k = 0; k < loop; k++) { | |
1689 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1690 | sector = GetSector(detector); | |
1691 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1692 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1693 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef(); | |
1694 | ||
1695 | // remove the results too far away | |
1696 | for (Int_t row = 0; row < rowMax; row++) { | |
1697 | for (Int_t col = 0; col < colMax; col++) { | |
1698 | value = coef[(Int_t)(col*rowMax+row)]; | |
1699 | if((value < 70.0) && (rmsAll > 0.0) && (TMath::Abs(value-meanAll) > (2.5*rmsAll))) coef[(Int_t)(col*rowMax+row)] = 100.0; | |
1700 | } // Col | |
1701 | } // Row | |
1702 | } | |
1703 | } | |
1704 | //______________________________________________________________________ | |
64942b85 | 1705 | void AliTRDCalibraFit::PutMeanValueOtherVectorFit(Int_t ofwhat, Bool_t perdetector){ |
1706 | // | |
1707 | // ofwhat is equaled to 0: mean value of all passing detectors | |
1708 | // ofwhat is equaled to 1: mean value of the detector, otherwise supermodule, otherwise all | |
1709 | // | |
1710 | ||
1711 | Int_t loop = (Int_t) fVectorFit.GetEntriesFast(); | |
1712 | if(loop != 540) { | |
1713 | AliInfo("The Vector Fit is not complete!"); | |
1714 | return; | |
1715 | } | |
1716 | Int_t detector = -1; | |
1717 | Int_t sector = -1; | |
1718 | Float_t value = 0.0; | |
1719 | ||
1720 | ///////////////////////////////// | |
1721 | // Calculate the mean values | |
1722 | //////////////////////////////// | |
1723 | // Initialisation | |
1724 | //////////////////////// | |
1725 | Double_t meanAll = 0.0; | |
1726 | Double_t meanSupermodule[18]; | |
1727 | Double_t meanDetector[540]; | |
6aafa7ea | 1728 | Double_t rmsAll = 0.0; |
1729 | Double_t rmsSupermodule[18]; | |
1730 | Double_t rmsDetector[540]; | |
64942b85 | 1731 | Int_t countAll = 0; |
1732 | Int_t countSupermodule[18]; | |
1733 | Int_t countDetector[540]; | |
1734 | for(Int_t sm = 0; sm < 18; sm++){ | |
6aafa7ea | 1735 | rmsSupermodule[sm] = 0.0; |
64942b85 | 1736 | meanSupermodule[sm] = 0.0; |
1737 | countSupermodule[sm] = 0; | |
1738 | } | |
1739 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1740 | rmsDetector[det] = 0.0; |
64942b85 | 1741 | meanDetector[det] = 0.0; |
1742 | countDetector[det] = 0; | |
1743 | } | |
6aafa7ea | 1744 | //////////// |
64942b85 | 1745 | // compute |
1746 | //////////// | |
1747 | for (Int_t k = 0; k < loop; k++) { | |
1748 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1749 | sector = GetSector(detector); | |
1750 | if(perdetector){ | |
1751 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[0]; | |
1752 | if(value > 0.0) { | |
6aafa7ea | 1753 | rmsDetector[detector] += value*value; |
64942b85 | 1754 | meanDetector[detector] += value; |
1755 | countDetector[detector]++; | |
6aafa7ea | 1756 | rmsSupermodule[sector] += value*value; |
64942b85 | 1757 | meanSupermodule[sector] += value; |
1758 | countSupermodule[sector]++; | |
6aafa7ea | 1759 | rmsAll += value*value; |
64942b85 | 1760 | meanAll += value; |
1761 | countAll++; | |
1762 | } | |
1763 | } | |
1764 | else { | |
1765 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1766 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1767 | for (Int_t row = 0; row < rowMax; row++) { | |
1768 | for (Int_t col = 0; col < colMax; col++) { | |
1769 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1770 | if(value > 0.0) { | |
6aafa7ea | 1771 | rmsDetector[detector] += value*value; |
64942b85 | 1772 | meanDetector[detector] += value; |
1773 | countDetector[detector]++; | |
6aafa7ea | 1774 | rmsSupermodule[sector] += value*value; |
64942b85 | 1775 | meanSupermodule[sector] += value; |
1776 | countSupermodule[sector]++; | |
6aafa7ea | 1777 | rmsAll += value*value; |
64942b85 | 1778 | meanAll += value; |
1779 | countAll++; | |
1780 | } | |
1781 | ||
1782 | } // Col | |
1783 | } // Row | |
1784 | } | |
1785 | } | |
6aafa7ea | 1786 | if(countAll > 0) { |
1787 | meanAll = meanAll/countAll; | |
1788 | rmsAll = TMath::Abs(rmsAll/countAll - (meanAll*meanAll)); | |
1789 | } | |
64942b85 | 1790 | for(Int_t sm = 0; sm < 18; sm++){ |
6aafa7ea | 1791 | if(countSupermodule[sm] > 0) { |
1792 | meanSupermodule[sm] = meanSupermodule[sm]/countSupermodule[sm]; | |
1793 | rmsSupermodule[sm] = TMath::Abs(rmsSupermodule[sm]/countSupermodule[sm] - (meanSupermodule[sm]*meanSupermodule[sm])); | |
1794 | } | |
64942b85 | 1795 | } |
1796 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1797 | if(countDetector[det] > 0) { |
1798 | meanDetector[det] = meanDetector[det]/countDetector[det]; | |
1799 | rmsDetector[det] = TMath::Abs(rmsDetector[det]/countDetector[det] - (meanDetector[det]*meanDetector[det])); | |
1800 | } | |
64942b85 | 1801 | } |
6aafa7ea | 1802 | //printf("Put mean value, meanAll %f, rmsAll %f\n",meanAll,rmsAll); |
1803 | /////////////////////////////////////////////// | |
64942b85 | 1804 | // Put the mean value for the no-fitted |
1805 | ///////////////////////////////////////////// | |
1806 | for (Int_t k = 0; k < loop; k++) { | |
1807 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1808 | sector = GetSector(detector); | |
1809 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1810 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1811 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
1812 | ||
1813 | for (Int_t row = 0; row < rowMax; row++) { | |
1814 | for (Int_t col = 0; col < colMax; col++) { | |
1815 | value = coef[(Int_t)(col*rowMax+row)]; | |
1816 | if(value < 0.0) { | |
6aafa7ea | 1817 | if((ofwhat == 0) && (meanAll > 0.0) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanAll); |
64942b85 | 1818 | if(ofwhat == 1){ |
6aafa7ea | 1819 | if((meanDetector[detector] > 0.0) && (countDetector[detector] > 20)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanDetector[detector]); |
1820 | else if((meanSupermodule[sector] > 0.0) && (countSupermodule[sector] > 15)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanSupermodule[sector]); | |
1821 | else if((meanAll > 0.0) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanAll); | |
64942b85 | 1822 | } |
1823 | } | |
1824 | // Debug | |
1825 | if(fDebugLevel > 1){ | |
1826 | ||
1827 | if ( !fDebugStreamer ) { | |
1828 | //debug stream | |
1829 | TDirectory *backup = gDirectory; | |
1830 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
1831 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
1832 | } | |
1833 | ||
1834 | Float_t coefnow = coef[(Int_t)(col*rowMax+row)]; | |
1835 | ||
1836 | (* fDebugStreamer) << "PutMeanValueOtherVectorFit"<< | |
1837 | "detector="<<detector<< | |
1838 | "sector="<<sector<< | |
1839 | "row="<<row<< | |
1840 | "col="<<col<< | |
1841 | "before="<<value<< | |
1842 | "after="<<coefnow<< | |
1843 | "\n"; | |
1844 | } | |
1845 | } // Col | |
1846 | } // Row | |
1847 | } | |
64942b85 | 1848 | } |
1849 | //______________________________________________________________________ | |
1850 | void AliTRDCalibraFit::PutMeanValueOtherVectorFit2(Int_t ofwhat, Bool_t perdetector){ | |
1851 | // | |
1852 | // ofwhat is equaled to 0: mean value of all passing detectors | |
1853 | // ofwhat is equaled to 1: mean value of the detector, otherwise supermodule, otherwise all | |
1854 | // | |
1855 | ||
1856 | Int_t loop = (Int_t) fVectorFit2.GetEntriesFast(); | |
1857 | if(loop != 540) { | |
1858 | AliInfo("The Vector Fit is not complete!"); | |
1859 | return; | |
1860 | } | |
1861 | Int_t detector = -1; | |
1862 | Int_t sector = -1; | |
1863 | Float_t value = 0.0; | |
1864 | ||
1865 | ///////////////////////////////// | |
1866 | // Calculate the mean values | |
1867 | //////////////////////////////// | |
1868 | // Initialisation | |
1869 | //////////////////////// | |
1870 | Double_t meanAll = 0.0; | |
6aafa7ea | 1871 | Double_t rmsAll = 0.0; |
64942b85 | 1872 | Double_t meanSupermodule[18]; |
6aafa7ea | 1873 | Double_t rmsSupermodule[18]; |
64942b85 | 1874 | Double_t meanDetector[540]; |
6aafa7ea | 1875 | Double_t rmsDetector[540]; |
64942b85 | 1876 | Int_t countAll = 0; |
1877 | Int_t countSupermodule[18]; | |
1878 | Int_t countDetector[540]; | |
1879 | for(Int_t sm = 0; sm < 18; sm++){ | |
6aafa7ea | 1880 | rmsSupermodule[sm] = 0.0; |
64942b85 | 1881 | meanSupermodule[sm] = 0.0; |
1882 | countSupermodule[sm] = 0; | |
1883 | } | |
1884 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1885 | rmsDetector[det] = 0.0; |
64942b85 | 1886 | meanDetector[det] = 0.0; |
1887 | countDetector[det] = 0; | |
1888 | } | |
1889 | // compute | |
1890 | //////////// | |
1891 | for (Int_t k = 0; k < loop; k++) { | |
1892 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1893 | sector = GetSector(detector); | |
1894 | if(perdetector){ | |
1895 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[0]; | |
1896 | if(value < 70.0) { | |
6aafa7ea | 1897 | rmsDetector[detector] += value*value; |
64942b85 | 1898 | meanDetector[detector] += value; |
1899 | countDetector[detector]++; | |
6aafa7ea | 1900 | rmsSupermodule[sector] += value*value; |
64942b85 | 1901 | meanSupermodule[sector] += value; |
1902 | countSupermodule[sector]++; | |
1903 | meanAll += value; | |
6aafa7ea | 1904 | rmsAll += value*value; |
64942b85 | 1905 | countAll++; |
1906 | } | |
1907 | } | |
1908 | else { | |
1909 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1910 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1911 | for (Int_t row = 0; row < rowMax; row++) { | |
1912 | for (Int_t col = 0; col < colMax; col++) { | |
1913 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1914 | if(value < 70.0) { | |
6aafa7ea | 1915 | rmsDetector[detector] += value*value; |
64942b85 | 1916 | meanDetector[detector] += value; |
1917 | countDetector[detector]++; | |
6aafa7ea | 1918 | rmsSupermodule[sector] += value*value; |
64942b85 | 1919 | meanSupermodule[sector] += value; |
1920 | countSupermodule[sector]++; | |
6aafa7ea | 1921 | rmsAll += value*value; |
64942b85 | 1922 | meanAll += value; |
1923 | countAll++; | |
1924 | } | |
1925 | ||
1926 | } // Col | |
1927 | } // Row | |
1928 | } | |
1929 | } | |
6aafa7ea | 1930 | if(countAll > 0) { |
1931 | meanAll = meanAll/countAll; | |
1932 | rmsAll = TMath::Abs(rmsAll/countAll - (meanAll*meanAll)); | |
1933 | } | |
64942b85 | 1934 | for(Int_t sm = 0; sm < 18; sm++){ |
6aafa7ea | 1935 | if(countSupermodule[sm] > 0) { |
1936 | meanSupermodule[sm] = meanSupermodule[sm]/countSupermodule[sm]; | |
1937 | rmsSupermodule[sm] = TMath::Abs(rmsSupermodule[sm]/countSupermodule[sm] - (meanSupermodule[sm]*meanSupermodule[sm])); | |
1938 | } | |
64942b85 | 1939 | } |
1940 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1941 | if(countDetector[det] > 0) { |
1942 | meanDetector[det] = meanDetector[det]/countDetector[det]; | |
1943 | rmsDetector[det] = TMath::Abs(rmsDetector[det]/countDetector[det] - (meanDetector[det]*meanDetector[det])); | |
1944 | } | |
64942b85 | 1945 | } |
6aafa7ea | 1946 | //printf("Put mean value 2: meanAll %f, rmsAll %f\n",meanAll,rmsAll); |
1947 | //////////////////////////////////////////// | |
64942b85 | 1948 | // Put the mean value for the no-fitted |
1949 | ///////////////////////////////////////////// | |
1950 | for (Int_t k = 0; k < loop; k++) { | |
1951 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1952 | sector = GetSector(detector); | |
1953 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1954 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1955 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef(); | |
1956 | ||
1957 | for (Int_t row = 0; row < rowMax; row++) { | |
1958 | for (Int_t col = 0; col < colMax; col++) { | |
1959 | value = coef[(Int_t)(col*rowMax+row)]; | |
1960 | if(value > 70.0) { | |
6aafa7ea | 1961 | if((ofwhat == 0) && (meanAll > -1.5) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = meanAll+100.0; |
64942b85 | 1962 | if(ofwhat == 1){ |
6aafa7ea | 1963 | if((meanDetector[detector] > -1.5) && (countDetector[detector] > 20)) coef[(Int_t)(col*rowMax+row)] = meanDetector[detector]+100.0; |
1964 | else if((meanSupermodule[sector] > -1.5) && (countSupermodule[sector] > 15)) coef[(Int_t)(col*rowMax+row)] = meanSupermodule[sector]+100.0; | |
1965 | else if((meanAll > -1.5) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = meanAll+100.0; | |
64942b85 | 1966 | } |
1967 | } | |
1968 | // Debug | |
1969 | if(fDebugLevel > 1){ | |
1970 | ||
1971 | if ( !fDebugStreamer ) { | |
1972 | //debug stream | |
1973 | TDirectory *backup = gDirectory; | |
1974 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
1975 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
1976 | } | |
1977 | ||
1978 | Float_t coefnow = coef[(Int_t)(col*rowMax+row)]; | |
1979 | ||
1980 | (* fDebugStreamer) << "PutMeanValueOtherVectorFit2"<< | |
1981 | "detector="<<detector<< | |
1982 | "sector="<<sector<< | |
1983 | "row="<<row<< | |
1984 | "col="<<col<< | |
1985 | "before="<<value<< | |
1986 | "after="<<coefnow<< | |
1987 | "\n"; | |
1988 | } | |
1989 | } // Col | |
1990 | } // Row | |
1991 | } | |
1992 | ||
1993 | } | |
3a0f6479 | 1994 | //_____________________________________________________________________________ |
979b168f | 1995 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectVdrift(const TObjArray *vectorFit, Bool_t perdetector) |
3a0f6479 | 1996 | { |
1997 | // | |
1998 | // It creates the AliTRDCalDet object from the AliTRDFitInfo | |
1999 | // It takes the mean value of the coefficients per detector | |
2000 | // This object has to be written in the database | |
2001 | // | |
55a288e5 | 2002 | |
3a0f6479 | 2003 | // Create the DetObject |
2004 | AliTRDCalDet *object = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2005 | ||
2006 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2007 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2008 | Int_t detector = -1; | |
2009 | Float_t value = 0.0; | |
64942b85 | 2010 | |
2011 | // | |
3a0f6479 | 2012 | for (Int_t k = 0; k < loop; k++) { |
2013 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2014 | Float_t mean = 0.0; | |
2015 | if(perdetector){ | |
2016 | mean = TMath::Abs(((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]); | |
55a288e5 | 2017 | } |
2018 | else { | |
3a0f6479 | 2019 | Int_t count = 0; |
053767a4 | 2020 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
2021 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 2022 | for (Int_t row = 0; row < rowMax; row++) { |
2023 | for (Int_t col = 0; col < colMax; col++) { | |
2024 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2025 | mean += TMath::Abs(value); | |
2026 | count++; | |
2027 | } // Col | |
2028 | } // Row | |
2029 | if(count > 0) mean = mean/count; | |
55a288e5 | 2030 | } |
2031 | object->SetValue(detector,mean); | |
2032 | } | |
3a0f6479 | 2033 | |
55a288e5 | 2034 | return object; |
55a288e5 | 2035 | } |
55a288e5 | 2036 | //_____________________________________________________________________________ |
979b168f | 2037 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectGain(const TObjArray *vectorFit, Bool_t meanOtherBefore, Double_t scaleFitFactor, Bool_t perdetector) |
55a288e5 | 2038 | { |
2039 | // | |
3a0f6479 | 2040 | // It creates the AliTRDCalDet object from the AliTRDFitInfo |
2041 | // It takes the mean value of the coefficients per detector | |
55a288e5 | 2042 | // This object has to be written in the database |
2043 | // | |
2044 | ||
2045 | // Create the DetObject | |
3a0f6479 | 2046 | AliTRDCalDet *object = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); |
55a288e5 | 2047 | |
54f2ff1c | 2048 | fScaleGain = scaleFitFactor; |
3a0f6479 | 2049 | |
2050 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2051 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2052 | Int_t detector = -1; | |
2053 | Float_t value = 0.0; | |
2054 | ||
2055 | for (Int_t k = 0; k < loop; k++) { | |
2056 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2057 | Float_t mean = 0.0; | |
2058 | if(perdetector){ | |
2059 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
64942b85 | 2060 | if(!meanOtherBefore){ |
2061 | if(value > 0) value = value*scaleFitFactor; | |
2062 | } | |
2063 | else value = value*scaleFitFactor; | |
3a0f6479 | 2064 | mean = TMath::Abs(value); |
2065 | } | |
2066 | else{ | |
2067 | Int_t count = 0; | |
053767a4 | 2068 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
2069 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 2070 | for (Int_t row = 0; row < rowMax; row++) { |
2071 | for (Int_t col = 0; col < colMax; col++) { | |
2072 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 2073 | if(!meanOtherBefore) { |
2074 | if(value > 0) value = value*scaleFitFactor; | |
2075 | } | |
2076 | else value = value*scaleFitFactor; | |
3a0f6479 | 2077 | mean += TMath::Abs(value); |
2078 | count++; | |
2079 | } // Col | |
2080 | } // Row | |
2081 | if(count > 0) mean = mean/count; | |
2082 | } | |
ba1aa7a7 | 2083 | if(mean < 0.1) mean = 0.1; |
3a0f6479 | 2084 | object->SetValue(detector,mean); |
55a288e5 | 2085 | } |
3a0f6479 | 2086 | |
2087 | return object; | |
2088 | } | |
2089 | //_____________________________________________________________________________ | |
979b168f | 2090 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectT0(const TObjArray *vectorFit, Bool_t perdetector) |
3a0f6479 | 2091 | { |
2092 | // | |
2093 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 | |
2094 | // It takes the min value of the coefficients per detector | |
2095 | // This object has to be written in the database | |
2096 | // | |
55a288e5 | 2097 | |
3a0f6479 | 2098 | // Create the DetObject |
2099 | AliTRDCalDet *object = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
55a288e5 | 2100 | |
3a0f6479 | 2101 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); |
2102 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2103 | Int_t detector = -1; | |
2104 | Float_t value = 0.0; | |
2105 | ||
2106 | for (Int_t k = 0; k < loop; k++) { | |
2107 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2108 | Float_t min = 100.0; | |
2109 | if(perdetector){ | |
64942b85 | 2110 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; |
2111 | // check successful | |
2112 | if(value > 70.0) value = value-100.0; | |
2113 | // | |
2114 | min = value; | |
55a288e5 | 2115 | } |
3a0f6479 | 2116 | else{ |
053767a4 | 2117 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
2118 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 2119 | for (Int_t row = 0; row < rowMax; row++) { |
2120 | for (Int_t col = 0; col < colMax; col++) { | |
2121 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 2122 | // check successful |
2123 | if(value > 70.0) value = value-100.0; | |
2124 | // | |
3a0f6479 | 2125 | if(min > value) min = value; |
2126 | } // Col | |
2127 | } // Row | |
2128 | } | |
2129 | object->SetValue(detector,min); | |
55a288e5 | 2130 | } |
2131 | ||
2132 | return object; | |
2133 | ||
2134 | } | |
55a288e5 | 2135 | //_____________________________________________________________________________ |
979b168f | 2136 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectLorentzAngle(const TObjArray *vectorFit) |
55a288e5 | 2137 | { |
2138 | // | |
3a0f6479 | 2139 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 |
2140 | // It takes the min value of the coefficients per detector | |
55a288e5 | 2141 | // This object has to be written in the database |
2142 | // | |
2143 | ||
2144 | // Create the DetObject | |
3a0f6479 | 2145 | AliTRDCalDet *object = new AliTRDCalDet("tan(lorentzangle)","tan(lorentzangle) (detector value)"); |
2146 | ||
2147 | ||
2148 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2149 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2150 | Int_t detector = -1; | |
2151 | Float_t value = 0.0; | |
55a288e5 | 2152 | |
3a0f6479 | 2153 | for (Int_t k = 0; k < loop; k++) { |
2154 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2155 | /* | |
053767a4 | 2156 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
2157 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 2158 | Float_t min = 100.0; |
2159 | for (Int_t row = 0; row < rowMax; row++) { | |
2160 | for (Int_t col = 0; col < colMax; col++) { | |
2161 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2162 | mean += -TMath::Abs(value); | |
2163 | count++; | |
55a288e5 | 2164 | } // Col |
3a0f6479 | 2165 | } // Row |
2166 | if(count > 0) mean = mean/count; | |
2167 | */ | |
2168 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
2169 | object->SetValue(detector,-TMath::Abs(value)); | |
55a288e5 | 2170 | } |
2171 | ||
2172 | return object; | |
3a0f6479 | 2173 | |
55a288e5 | 2174 | } |
55a288e5 | 2175 | //_____________________________________________________________________________ |
979b168f | 2176 | TObject *AliTRDCalibraFit::CreatePadObjectGain(const TObjArray *vectorFit, Double_t scaleFitFactor, const AliTRDCalDet *detobject) |
3a0f6479 | 2177 | { |
55a288e5 | 2178 | // |
3a0f6479 | 2179 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
2180 | // You need first to create the object for the detectors, | |
2181 | // where the mean value is put. | |
2182 | // This object has to be written in the database | |
55a288e5 | 2183 | // |
3a0f6479 | 2184 | |
2185 | // Create the DetObject | |
2186 | AliTRDCalPad *object = new AliTRDCalPad("GainFactor","GainFactor (local variations)"); | |
2187 | ||
2188 | if(!vectorFit){ | |
2189 | for(Int_t k = 0; k < 540; k++){ | |
2190 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2191 | Int_t nchannels = calROC->GetNchannels(); | |
2192 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2193 | calROC->SetValue(ch,1.0); | |
2194 | } | |
2195 | } | |
55a288e5 | 2196 | } |
3a0f6479 | 2197 | else{ |
2198 | ||
2199 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2200 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2201 | Int_t detector = -1; | |
2202 | Float_t value = 0.0; | |
2203 | ||
2204 | for (Int_t k = 0; k < loop; k++) { | |
2205 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2206 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2207 | Float_t mean = detobject->GetValue(detector); | |
daa7dc79 | 2208 | if(TMath::Abs(mean) <= 0.0000000001) continue; |
3a0f6479 | 2209 | Int_t rowMax = calROC->GetNrows(); |
2210 | Int_t colMax = calROC->GetNcols(); | |
2211 | for (Int_t row = 0; row < rowMax; row++) { | |
2212 | for (Int_t col = 0; col < colMax; col++) { | |
2213 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2214 | if(value > 0) value = value*scaleFitFactor; | |
2215 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
2216 | } // Col | |
2217 | } // Row | |
2218 | } | |
55a288e5 | 2219 | } |
2220 | ||
3a0f6479 | 2221 | return object; |
55a288e5 | 2222 | } |
55a288e5 | 2223 | //_____________________________________________________________________________ |
979b168f | 2224 | TObject *AliTRDCalibraFit::CreatePadObjectVdrift(const TObjArray *vectorFit, const AliTRDCalDet *detobject) |
3a0f6479 | 2225 | { |
55a288e5 | 2226 | // |
3a0f6479 | 2227 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
2228 | // You need first to create the object for the detectors, | |
2229 | // where the mean value is put. | |
2230 | // This object has to be written in the database | |
55a288e5 | 2231 | // |
2232 | ||
3a0f6479 | 2233 | // Create the DetObject |
2234 | AliTRDCalPad *object = new AliTRDCalPad("LocalVdrift","TRD drift velocities (local variations)"); | |
2235 | ||
2236 | if(!vectorFit){ | |
2237 | for(Int_t k = 0; k < 540; k++){ | |
2238 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2239 | Int_t nchannels = calROC->GetNchannels(); | |
2240 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2241 | calROC->SetValue(ch,1.0); | |
2242 | } | |
2243 | } | |
55a288e5 | 2244 | } |
2245 | else { | |
3a0f6479 | 2246 | |
2247 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2248 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2249 | Int_t detector = -1; | |
2250 | Float_t value = 0.0; | |
2251 | ||
2252 | for (Int_t k = 0; k < loop; k++) { | |
2253 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2254 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2255 | Float_t mean = detobject->GetValue(detector); | |
2256 | if(mean == 0) continue; | |
2257 | Int_t rowMax = calROC->GetNrows(); | |
2258 | Int_t colMax = calROC->GetNcols(); | |
2259 | for (Int_t row = 0; row < rowMax; row++) { | |
2260 | for (Int_t col = 0; col < colMax; col++) { | |
2261 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2262 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
2263 | } // Col | |
2264 | } // Row | |
2265 | } | |
55a288e5 | 2266 | } |
3a0f6479 | 2267 | return object; |
55a288e5 | 2268 | |
2269 | } | |
55a288e5 | 2270 | //_____________________________________________________________________________ |
979b168f | 2271 | TObject *AliTRDCalibraFit::CreatePadObjectT0(const TObjArray *vectorFit, const AliTRDCalDet *detobject) |
3a0f6479 | 2272 | { |
55a288e5 | 2273 | // |
3a0f6479 | 2274 | // It Creates the AliTRDCalPad object from AliTRDFitInfo2 |
2275 | // You need first to create the object for the detectors, | |
2276 | // where the mean value is put. | |
2277 | // This object has to be written in the database | |
55a288e5 | 2278 | // |
3a0f6479 | 2279 | |
2280 | // Create the DetObject | |
2281 | AliTRDCalPad *object = new AliTRDCalPad("LocalT0","T0 (local variations)"); | |
2282 | ||
2283 | if(!vectorFit){ | |
2284 | for(Int_t k = 0; k < 540; k++){ | |
2285 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2286 | Int_t nchannels = calROC->GetNchannels(); | |
2287 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2288 | calROC->SetValue(ch,0.0); | |
2289 | } | |
2290 | } | |
55a288e5 | 2291 | } |
2292 | else { | |
3a0f6479 | 2293 | |
2294 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2295 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2296 | Int_t detector = -1; | |
2297 | Float_t value = 0.0; | |
2298 | ||
2299 | for (Int_t k = 0; k < loop; k++) { | |
2300 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2301 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2302 | Float_t min = detobject->GetValue(detector); | |
2303 | Int_t rowMax = calROC->GetNrows(); | |
2304 | Int_t colMax = calROC->GetNcols(); | |
2305 | for (Int_t row = 0; row < rowMax; row++) { | |
2306 | for (Int_t col = 0; col < colMax; col++) { | |
2307 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 2308 | // check successful |
2309 | if(value > 70.0) value = value - 100.0; | |
2310 | // | |
3a0f6479 | 2311 | calROC->SetValue(col,row,value-min); |
2312 | } // Col | |
2313 | } // Row | |
2314 | } | |
55a288e5 | 2315 | } |
3a0f6479 | 2316 | return object; |
55a288e5 | 2317 | |
2318 | } | |
3a0f6479 | 2319 | //_____________________________________________________________________________ |
979b168f | 2320 | TObject *AliTRDCalibraFit::CreatePadObjectPRF(const TObjArray *vectorFit) |
3a0f6479 | 2321 | { |
2322 | // | |
2323 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
2324 | // This object has to be written in the database | |
2325 | // | |
2326 | ||
2327 | // Create the DetObject | |
2328 | AliTRDCalPad *object = new AliTRDCalPad("PRFWidth","PRFWidth"); | |
2329 | ||
2330 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2331 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2332 | Int_t detector = -1; | |
2333 | Float_t value = 0.0; | |
55a288e5 | 2334 | |
3a0f6479 | 2335 | for (Int_t k = 0; k < loop; k++) { |
2336 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2337 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2338 | Int_t rowMax = calROC->GetNrows(); | |
2339 | Int_t colMax = calROC->GetNcols(); | |
2340 | for (Int_t row = 0; row < rowMax; row++) { | |
2341 | for (Int_t col = 0; col < colMax; col++) { | |
2342 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2343 | calROC->SetValue(col,row,TMath::Abs(value)); | |
2344 | } // Col | |
2345 | } // Row | |
2346 | } | |
2347 | ||
2348 | return object; | |
2349 | ||
2350 | } | |
55a288e5 | 2351 | //_____________________________________________________________________________ |
979b168f | 2352 | AliTRDCalDet *AliTRDCalibraFit::MakeOutliersStatDet(const TObjArray *vectorFit, const char *name, Double_t &mean) |
3a0f6479 | 2353 | { |
2354 | // | |
2355 | // It Creates the AliTRDCalDet object from AliTRDFitInfo | |
2356 | // 0 successful fit 1 not successful fit | |
2357 | // mean is the mean value over the successful fit | |
2358 | // do not use it for t0: no meaning | |
2359 | // | |
2360 | ||
2361 | // Create the CalObject | |
2362 | AliTRDCalDet *object = new AliTRDCalDet(name,name); | |
2363 | mean = 0.0; | |
2364 | Int_t count = 0; | |
2365 | ||
2366 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2367 | if(loop != 540) { | |
2368 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
2369 | for(Int_t k = 0; k < 540; k++){ | |
2370 | object->SetValue(k,1.0); | |
2371 | } | |
2372 | } | |
2373 | Int_t detector = -1; | |
2374 | Float_t value = 0.0; | |
2375 | ||
2376 | for (Int_t k = 0; k < loop; k++) { | |
2377 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2378 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
2379 | if(value <= 0) object->SetValue(detector,1.0); | |
2380 | else { | |
2381 | object->SetValue(detector,0.0); | |
2382 | mean += value; | |
2383 | count++; | |
2384 | } | |
2385 | } | |
2386 | if(count > 0) mean /= count; | |
2387 | return object; | |
2388 | } | |
2389 | //_____________________________________________________________________________ | |
979b168f | 2390 | TObject *AliTRDCalibraFit::MakeOutliersStatPad(const TObjArray *vectorFit, const char *name, Double_t &mean) |
3a0f6479 | 2391 | { |
2392 | // | |
2393 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
2394 | // 0 not successful fit 1 successful fit | |
2395 | // mean mean value over the successful fit | |
2396 | // | |
2397 | ||
2398 | // Create the CalObject | |
2399 | AliTRDCalPad *object = new AliTRDCalPad(name,name); | |
2400 | mean = 0.0; | |
2401 | Int_t count = 0; | |
2402 | ||
2403 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2404 | if(loop != 540) { | |
2405 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
2406 | for(Int_t k = 0; k < 540; k++){ | |
2407 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2408 | Int_t nchannels = calROC->GetNchannels(); | |
2409 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2410 | calROC->SetValue(ch,1.0); | |
2411 | } | |
2412 | } | |
2413 | } | |
2414 | Int_t detector = -1; | |
2415 | Float_t value = 0.0; | |
2416 | ||
2417 | for (Int_t k = 0; k < loop; k++) { | |
2418 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2419 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2420 | Int_t nchannels = calROC->GetNchannels(); | |
2421 | for (Int_t ch = 0; ch < nchannels; ch++) { | |
2422 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[ch]; | |
2423 | if(value <= 0) calROC->SetValue(ch,1.0); | |
2424 | else { | |
2425 | calROC->SetValue(ch,0.0); | |
2426 | mean += value; | |
2427 | count++; | |
2428 | } | |
2429 | } // channels | |
2430 | } | |
2431 | if(count > 0) mean /= count; | |
2432 | return object; | |
2433 | } | |
2434 | //_____________________________________________________________________________ | |
2435 | void AliTRDCalibraFit::SetPeriodeFitPH(Int_t periodeFitPH) | |
55a288e5 | 2436 | { |
2437 | // | |
3a0f6479 | 2438 | // Set FitPH if 1 then each detector will be fitted |
55a288e5 | 2439 | // |
2440 | ||
3a0f6479 | 2441 | if (periodeFitPH > 0) { |
2442 | fFitPHPeriode = periodeFitPH; | |
55a288e5 | 2443 | } |
2444 | else { | |
3a0f6479 | 2445 | AliInfo("periodeFitPH must be higher than 0!"); |
55a288e5 | 2446 | } |
2447 | ||
2448 | } | |
55a288e5 | 2449 | //_____________________________________________________________________________ |
2450 | void AliTRDCalibraFit::SetBeginFitCharge(Float_t beginFitCharge) | |
2451 | { | |
2452 | // | |
2453 | // The fit of the deposited charge distribution begins at | |
2454 | // histo->Mean()/beginFitCharge | |
2455 | // You can here set beginFitCharge | |
2456 | // | |
2457 | ||
2458 | if (beginFitCharge > 0) { | |
2459 | fBeginFitCharge = beginFitCharge; | |
2460 | } | |
2461 | else { | |
2462 | AliInfo("beginFitCharge must be strict positif!"); | |
2463 | } | |
2464 | ||
2465 | } | |
2466 | ||
2467 | //_____________________________________________________________________________ | |
413153cb | 2468 | void AliTRDCalibraFit::SetT0Shift0(Float_t t0Shift) |
2469 | { | |
2470 | // | |
2471 | // The t0 calculated with the maximum positif slope is shift from t0Shift0 | |
2472 | // You can here set t0Shift0 | |
2473 | // | |
2474 | ||
2475 | if (t0Shift > 0) { | |
2476 | fT0Shift0 = t0Shift; | |
2477 | } | |
2478 | else { | |
2479 | AliInfo("t0Shift0 must be strict positif!"); | |
2480 | } | |
2481 | ||
2482 | } | |
2483 | ||
2484 | //_____________________________________________________________________________ | |
2485 | void AliTRDCalibraFit::SetT0Shift1(Float_t t0Shift) | |
55a288e5 | 2486 | { |
2487 | // | |
413153cb | 2488 | // The t0 calculated with the maximum of the amplification region is shift from t0Shift1 |
2489 | // You can here set t0Shift1 | |
55a288e5 | 2490 | // |
2491 | ||
2492 | if (t0Shift > 0) { | |
413153cb | 2493 | fT0Shift1 = t0Shift; |
55a288e5 | 2494 | } |
2495 | else { | |
2496 | AliInfo("t0Shift must be strict positif!"); | |
2497 | } | |
2498 | ||
2499 | } | |
2500 | ||
2501 | //_____________________________________________________________________________ | |
2502 | void AliTRDCalibraFit::SetRangeFitPRF(Float_t rangeFitPRF) | |
2503 | { | |
2504 | // | |
2505 | // The fit of the PRF is from -rangeFitPRF to rangeFitPRF | |
2506 | // You can here set rangeFitPRF | |
2507 | // | |
2508 | ||
2509 | if ((rangeFitPRF > 0) && | |
2510 | (rangeFitPRF <= 1.5)) { | |
2511 | fRangeFitPRF = rangeFitPRF; | |
2512 | } | |
2513 | else { | |
2514 | AliInfo("rangeFitPRF must be between 0 and 1.0"); | |
2515 | } | |
2516 | ||
2517 | } | |
2518 | ||
3a0f6479 | 2519 | //_____________________________________________________________________________ |
2520 | void AliTRDCalibraFit::SetMinEntries(Int_t minEntries) | |
2521 | { | |
2522 | // | |
2523 | // Minimum entries for fitting | |
2524 | // | |
2525 | ||
2526 | if (minEntries > 0) { | |
2527 | fMinEntries = minEntries; | |
2528 | } | |
2529 | else { | |
2530 | AliInfo("fMinEntries must be >= 0."); | |
2531 | } | |
2532 | ||
2533 | } | |
2534 | ||
55a288e5 | 2535 | //_____________________________________________________________________________ |
2536 | void AliTRDCalibraFit::SetRebin(Short_t rebin) | |
2537 | { | |
2538 | // | |
2539 | // Rebin with rebin time less bins the Ch histo | |
2540 | // You can set here rebin that should divide the number of bins of CH histo | |
2541 | // | |
2542 | ||
2543 | if (rebin > 0) { | |
2544 | fRebin = rebin; | |
2545 | AliInfo("You have to be sure that fRebin divides fNumberBinCharge used!"); | |
2546 | } | |
2547 | else { | |
2548 | AliInfo("You have to choose a positiv value!"); | |
2549 | } | |
2550 | ||
2551 | } | |
55a288e5 | 2552 | //_____________________________________________________________________________ |
3a0f6479 | 2553 | Bool_t AliTRDCalibraFit::FillVectorFit() |
55a288e5 | 2554 | { |
2555 | // | |
3a0f6479 | 2556 | // For the Fit functions fill the vector Fit |
55a288e5 | 2557 | // |
55a288e5 | 2558 | |
3a0f6479 | 2559 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 2560 | |
3a0f6479 | 2561 | Int_t ntotal = 1; |
053767a4 | 2562 | if (GetStack(fCountDet) == 2) { |
3a0f6479 | 2563 | ntotal = 1728; |
55a288e5 | 2564 | } |
3a0f6479 | 2565 | else { |
2566 | ntotal = 2304; | |
55a288e5 | 2567 | } |
3a0f6479 | 2568 | |
2569 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
2570 | Float_t *coef = new Float_t[ntotal]; | |
2571 | for (Int_t i = 0; i < ntotal; i++) { | |
2572 | coef[i] = fCurrentCoefDetector[i]; | |
55a288e5 | 2573 | } |
3a0f6479 | 2574 | |
2575 | Int_t detector = fCountDet; | |
2576 | // Set | |
2577 | fitInfo->SetCoef(coef); | |
2578 | fitInfo->SetDetector(detector); | |
2579 | fVectorFit.Add((TObject *) fitInfo); | |
2580 | ||
2581 | return kTRUE; | |
55a288e5 | 2582 | |
3a0f6479 | 2583 | } |
55a288e5 | 2584 | //_____________________________________________________________________________ |
3a0f6479 | 2585 | Bool_t AliTRDCalibraFit::FillVectorFit2() |
55a288e5 | 2586 | { |
2587 | // | |
3a0f6479 | 2588 | // For the Fit functions fill the vector Fit |
55a288e5 | 2589 | // |
55a288e5 | 2590 | |
3a0f6479 | 2591 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 2592 | |
3a0f6479 | 2593 | Int_t ntotal = 1; |
053767a4 | 2594 | if (GetStack(fCountDet) == 2) { |
3a0f6479 | 2595 | ntotal = 1728; |
55a288e5 | 2596 | } |
3a0f6479 | 2597 | else { |
2598 | ntotal = 2304; | |
55a288e5 | 2599 | } |
3a0f6479 | 2600 | |
2601 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
2602 | Float_t *coef = new Float_t[ntotal]; | |
2603 | for (Int_t i = 0; i < ntotal; i++) { | |
2604 | coef[i] = fCurrentCoefDetector2[i]; | |
55a288e5 | 2605 | } |
3a0f6479 | 2606 | |
2607 | Int_t detector = fCountDet; | |
2608 | // Set | |
2609 | fitInfo->SetCoef(coef); | |
2610 | fitInfo->SetDetector(detector); | |
2611 | fVectorFit2.Add((TObject *) fitInfo); | |
55a288e5 | 2612 | |
3a0f6479 | 2613 | return kTRUE; |
55a288e5 | 2614 | |
3a0f6479 | 2615 | } |
2616 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2617 | Bool_t AliTRDCalibraFit::InitFit(Int_t nbins, Int_t i) | |
55a288e5 | 2618 | { |
2619 | // | |
3a0f6479 | 2620 | // Init the number of expected bins and fDect1[i] fDect2[i] |
55a288e5 | 2621 | // |
2622 | ||
3a0f6479 | 2623 | gStyle->SetPalette(1); |
2624 | gStyle->SetOptStat(1111); | |
2625 | gStyle->SetPadBorderMode(0); | |
2626 | gStyle->SetCanvasColor(10); | |
2627 | gStyle->SetPadLeftMargin(0.13); | |
2628 | gStyle->SetPadRightMargin(0.01); | |
2629 | ||
2630 | // Mode groups of pads: the total number of bins! | |
2631 | CalculNumberOfBinsExpected(i); | |
2632 | ||
2633 | // Quick verification that we have the good pad calibration mode! | |
2634 | if (fNumberOfBinsExpected != nbins) { | |
64942b85 | 2635 | AliInfo(Form("It doesn't correspond to the mode of pad group calibration: expected %d and seen %d!",fNumberOfBinsExpected,nbins)); |
3a0f6479 | 2636 | return kFALSE; |
55a288e5 | 2637 | } |
3a0f6479 | 2638 | |
2639 | // Security for fDebug 3 and 4 | |
2640 | if ((fDebugLevel >= 3) && | |
2641 | ((fDet[0] > 5) || | |
2642 | (fDet[1] > 4) || | |
2643 | (fDet[2] > 17))) { | |
2644 | AliInfo("This detector doesn't exit!"); | |
2645 | return kFALSE; | |
55a288e5 | 2646 | } |
2647 | ||
3a0f6479 | 2648 | // Determine fDet1 and fDet2 and set the fNfragZ and fNfragRphi for debug 3 and 4 |
2649 | CalculDect1Dect2(i); | |
55a288e5 | 2650 | |
3a0f6479 | 2651 | |
2652 | return kTRUE; | |
55a288e5 | 2653 | } |
3a0f6479 | 2654 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2655 | Bool_t AliTRDCalibraFit::InitFitCH() | |
55a288e5 | 2656 | { |
2657 | // | |
3a0f6479 | 2658 | // Init the fVectorFitCH for normalisation |
2659 | // Init the histo for debugging | |
55a288e5 | 2660 | // |
2661 | ||
3a0f6479 | 2662 | gDirectory = gROOT; |
2663 | ||
2664 | fScaleFitFactor = 0.0; | |
2665 | fCurrentCoefDetector = new Float_t[2304]; | |
2666 | for (Int_t k = 0; k < 2304; k++) { | |
2667 | fCurrentCoefDetector[k] = 0.0; | |
2668 | } | |
2669 | fVectorFit.SetName("gainfactorscoefficients"); | |
55a288e5 | 2670 | |
3a0f6479 | 2671 | // fDebug == 0 nothing |
2672 | // fDebug == 1 and fFitVoir no histo | |
2673 | if (fDebugLevel == 1) { | |
2674 | if(!CheckFitVoir()) return kFALSE; | |
2675 | } | |
2676 | //Get the CalDet object | |
2677 | if(fAccCDB){ | |
2678 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2679 | if (!cal) { | |
2680 | AliInfo("Could not get calibDB"); | |
2681 | return kFALSE; | |
55a288e5 | 2682 | } |
3a0f6479 | 2683 | if(fCalDet) delete fCalDet; |
2684 | fCalDet = new AliTRDCalDet(*(cal->GetGainFactorDet())); | |
55a288e5 | 2685 | } |
3a0f6479 | 2686 | else{ |
2687 | Float_t devalue = 1.0; | |
2688 | if(fCalDet) delete fCalDet; | |
2689 | fCalDet = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); | |
2690 | for(Int_t k = 0; k < 540; k++){ | |
2691 | fCalDet->SetValue(k,devalue); | |
55a288e5 | 2692 | } |
2693 | } | |
3a0f6479 | 2694 | return kTRUE; |
2695 | ||
55a288e5 | 2696 | } |
3a0f6479 | 2697 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2698 | Bool_t AliTRDCalibraFit::InitFitPH() | |
55a288e5 | 2699 | { |
2700 | // | |
3a0f6479 | 2701 | // Init the arrays of results |
2702 | // Init the histos for debugging | |
55a288e5 | 2703 | // |
55a288e5 | 2704 | |
3a0f6479 | 2705 | gDirectory = gROOT; |
2706 | fVectorFit.SetName("driftvelocitycoefficients"); | |
2707 | fVectorFit2.SetName("t0coefficients"); | |
55a288e5 | 2708 | |
3a0f6479 | 2709 | fCurrentCoefDetector = new Float_t[2304]; |
2710 | for (Int_t k = 0; k < 2304; k++) { | |
2711 | fCurrentCoefDetector[k] = 0.0; | |
2712 | } | |
2713 | ||
2714 | fCurrentCoefDetector2 = new Float_t[2304]; | |
2715 | for (Int_t k = 0; k < 2304; k++) { | |
2716 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2717 | } |
2718 | ||
3a0f6479 | 2719 | //fDebug == 0 nothing |
2720 | // fDebug == 1 and fFitVoir no histo | |
2721 | if (fDebugLevel == 1) { | |
2722 | if(!CheckFitVoir()) return kFALSE; | |
2723 | } | |
2724 | //Get the CalDet object | |
2725 | if(fAccCDB){ | |
2726 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2727 | if (!cal) { | |
2728 | AliInfo("Could not get calibDB"); | |
2729 | return kFALSE; | |
2730 | } | |
2731 | if(fCalDet) delete fCalDet; | |
2732 | if(fCalDet2) delete fCalDet2; | |
2733 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2734 | fCalDet2 = new AliTRDCalDet(*(cal->GetT0Det())); | |
2735 | } | |
2736 | else{ | |
2737 | Float_t devalue = 1.5; | |
2738 | Float_t devalue2 = 0.0; | |
2739 | if(fCalDet) delete fCalDet; | |
2740 | if(fCalDet2) delete fCalDet2; | |
2741 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2742 | fCalDet2 = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
2743 | for(Int_t k = 0; k < 540; k++){ | |
2744 | fCalDet->SetValue(k,devalue); | |
2745 | fCalDet2->SetValue(k,devalue2); | |
2746 | } | |
2747 | } | |
2748 | return kTRUE; | |
55a288e5 | 2749 | } |
3a0f6479 | 2750 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2751 | Bool_t AliTRDCalibraFit::InitFitPRF() | |
55a288e5 | 2752 | { |
2753 | // | |
3a0f6479 | 2754 | // Init the calibration mode (Nz, Nrphi), the histograms for |
2755 | // debugging the fit methods if fDebug > 0, | |
2756 | // | |
2757 | ||
2758 | gDirectory = gROOT; | |
2759 | fVectorFit.SetName("prfwidthcoefficients"); | |
2760 | ||
2761 | fCurrentCoefDetector = new Float_t[2304]; | |
2762 | for (Int_t k = 0; k < 2304; k++) { | |
2763 | fCurrentCoefDetector[k] = 0.0; | |
55a288e5 | 2764 | } |
2765 | ||
3a0f6479 | 2766 | // fDebug == 0 nothing |
2767 | // fDebug == 1 and fFitVoir no histo | |
2768 | if (fDebugLevel == 1) { | |
2769 | if(!CheckFitVoir()) return kFALSE; | |
2770 | } | |
2771 | return kTRUE; | |
55a288e5 | 2772 | } |
3a0f6479 | 2773 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2774 | Bool_t AliTRDCalibraFit::InitFitLinearFitter() | |
55a288e5 | 2775 | { |
2776 | // | |
3a0f6479 | 2777 | // Init the fCalDet, fVectorFit fCurrentCoefDetector |
55a288e5 | 2778 | // |
3a0f6479 | 2779 | |
2780 | gDirectory = gROOT; | |
2781 | ||
2782 | fCurrentCoefDetector = new Float_t[2304]; | |
2783 | fCurrentCoefDetector2 = new Float_t[2304]; | |
2784 | for (Int_t k = 0; k < 2304; k++) { | |
2785 | fCurrentCoefDetector[k] = 0.0; | |
2786 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2787 | } |
2788 | ||
3a0f6479 | 2789 | //printf("test0\n"); |
2790 | ||
2791 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2792 | if (!cal) { | |
2793 | AliInfo("Could not get calibDB"); | |
2794 | return kFALSE; | |
55a288e5 | 2795 | } |
2796 | ||
3a0f6479 | 2797 | //Get the CalDet object |
2798 | if(fAccCDB){ | |
2799 | if(fCalDet) delete fCalDet; | |
2800 | if(fCalDet2) delete fCalDet2; | |
2801 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2802 | //printf("test1\n"); | |
2803 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2804 | //printf("test2\n"); | |
2805 | for(Int_t k = 0; k < 540; k++){ | |
a076fc2f | 2806 | fCalDet2->SetValue(k,AliTRDCommonParam::Instance()->GetOmegaTau(fCalDet->GetValue(k))); |
3a0f6479 | 2807 | } |
2808 | //printf("test3\n"); | |
2809 | } | |
2810 | else{ | |
2811 | Float_t devalue = 1.5; | |
a076fc2f | 2812 | Float_t devalue2 = AliTRDCommonParam::Instance()->GetOmegaTau(1.5); |
3a0f6479 | 2813 | if(fCalDet) delete fCalDet; |
2814 | if(fCalDet2) delete fCalDet2; | |
2815 | //printf("test1\n"); | |
2816 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2817 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2818 | //printf("test2\n"); | |
2819 | for(Int_t k = 0; k < 540; k++){ | |
2820 | fCalDet->SetValue(k,devalue); | |
2821 | fCalDet2->SetValue(k,devalue2); | |
2822 | } | |
2823 | //printf("test3\n"); | |
2824 | } | |
55a288e5 | 2825 | return kTRUE; |
55a288e5 | 2826 | } |
2827 | ||
2828 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3a0f6479 | 2829 | void AliTRDCalibraFit::InitfCountDetAndfCount(Int_t i) |
55a288e5 | 2830 | { |
2831 | // | |
3a0f6479 | 2832 | // Init the current detector where we are fCountDet and the |
2833 | // next fCount for the functions Fit... | |
55a288e5 | 2834 | // |
2835 | ||
3a0f6479 | 2836 | // Loop on the Xbins of ch!! |
2837 | fCountDet = -1; // Current detector | |
2838 | fCount = 0; // To find the next detector | |
2839 | ||
2840 | // If fDebug >= 3 | |
2841 | if (fDebugLevel >= 3) { | |
2842 | // Set countdet to the detector | |
2843 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2844 | // Set counter to write at the end of the detector | |
2845 | fCount = fDect2; | |
2846 | // Get the right calib objects | |
2847 | SetCalROC(i); | |
2848 | } | |
2849 | if(fDebugLevel == 1) { | |
2850 | fCountDet = 0; | |
2851 | fCalibraMode->CalculXBins(fCountDet,i); | |
6aafa7ea | 2852 | if((fCalibraMode->GetNz(i)!=100) && (fCalibraMode->GetNrphi(i)!=100)){ |
2853 | while(fCalibraMode->GetXbins(i) <=fFitVoir){ | |
2854 | fCountDet++; | |
2855 | fCalibraMode->CalculXBins(fCountDet,i); | |
2856 | //printf("GetXBins %d\n",fCalibraMode->GetXbins(i)); | |
2857 | } | |
2858 | } | |
2859 | else { | |
3a0f6479 | 2860 | fCountDet++; |
6aafa7ea | 2861 | } |
3a0f6479 | 2862 | fCount = fCalibraMode->GetXbins(i); |
2863 | fCountDet--; | |
2864 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
053767a4 | 2865 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); |
2866 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2867 | ,(Int_t) GetStack(fCountDet) | |
2868 | ,(Int_t) GetSector(fCountDet),i); | |
3a0f6479 | 2869 | } |
2870 | } | |
2871 | //_______________________________________________________________________________ | |
2872 | void AliTRDCalibraFit::CalculNumberOfBinsExpected(Int_t i) | |
2873 | { | |
2874 | // | |
2875 | // Calculate the number of bins expected (calibration groups) | |
2876 | // | |
2877 | ||
2878 | fNumberOfBinsExpected = 0; | |
64942b85 | 2879 | // All |
2880 | if((fCalibraMode->GetNz(i) == 100) && (fCalibraMode->GetNrphi(i) == 100)){ | |
2881 | fNumberOfBinsExpected = 1; | |
2882 | return; | |
2883 | } | |
2884 | // Per supermodule | |
2885 | if((fCalibraMode->GetNz(i) == 10) && (fCalibraMode->GetNrphi(i) == 10)){ | |
2886 | fNumberOfBinsExpected = 18; | |
2887 | return; | |
2888 | } | |
2889 | // More | |
55a288e5 | 2890 | fCalibraMode->ModePadCalibration(2,i); |
2891 | fCalibraMode->ModePadFragmentation(0,2,0,i); | |
2892 | fCalibraMode->SetDetChamb2(i); | |
3a0f6479 | 2893 | if (fDebugLevel > 1) { |
55a288e5 | 2894 | AliInfo(Form("For the chamber 2: %d",fCalibraMode->GetDetChamb2(i))); |
2895 | } | |
3a0f6479 | 2896 | fNumberOfBinsExpected += 6 * 18 * fCalibraMode->GetDetChamb2(i); |
55a288e5 | 2897 | fCalibraMode->ModePadCalibration(0,i); |
2898 | fCalibraMode->ModePadFragmentation(0,0,0,i); | |
2899 | fCalibraMode->SetDetChamb0(i); | |
3a0f6479 | 2900 | if (fDebugLevel > 1) { |
55a288e5 | 2901 | AliInfo(Form("For the other chamber 0: %d",fCalibraMode->GetDetChamb0(i))); |
2902 | } | |
3a0f6479 | 2903 | fNumberOfBinsExpected += 6 * 4 * 18 * fCalibraMode->GetDetChamb0(i); |
2904 | ||
2905 | } | |
2906 | //_______________________________________________________________________________ | |
2907 | void AliTRDCalibraFit::CalculDect1Dect2(Int_t i) | |
2908 | { | |
2909 | // | |
2910 | // Calculate the range of fits | |
2911 | // | |
55a288e5 | 2912 | |
3a0f6479 | 2913 | fDect1 = -1; |
2914 | fDect2 = -1; | |
2915 | if (fDebugLevel == 1) { | |
2916 | fDect1 = fFitVoir; | |
2917 | fDect2 = fDect1 +1; | |
55a288e5 | 2918 | } |
3a0f6479 | 2919 | if ((fDebugLevel == 2) || (fDebugLevel == 0)) { |
2920 | fDect1 = 0; | |
2921 | fDect2 = fNumberOfBinsExpected; | |
55a288e5 | 2922 | } |
3a0f6479 | 2923 | if (fDebugLevel >= 3) { |
2924 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2925 | fCalibraMode->CalculXBins(fCountDet,i); | |
2926 | fDect1 = fCalibraMode->GetXbins(i); | |
2927 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
053767a4 | 2928 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); |
2929 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2930 | ,(Int_t) GetStack(fCountDet) | |
2931 | ,(Int_t) GetSector(fCountDet),i); | |
3a0f6479 | 2932 | // Set for the next detector |
2933 | fDect2 = fDect1 + fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
55a288e5 | 2934 | } |
55a288e5 | 2935 | } |
3a0f6479 | 2936 | //_______________________________________________________________________________ |
2937 | Bool_t AliTRDCalibraFit::CheckFitVoir() | |
55a288e5 | 2938 | { |
2939 | // | |
3a0f6479 | 2940 | // Check if fFitVoir is in the range |
55a288e5 | 2941 | // |
2942 | ||
3a0f6479 | 2943 | if (fFitVoir < fNumberOfBinsExpected) { |
2944 | AliInfo(Form("We will see the fit of the object %d",fFitVoir)); | |
55a288e5 | 2945 | } |
3a0f6479 | 2946 | else { |
2947 | AliInfo("fFitVoir is out of range of the histo!"); | |
2948 | return kFALSE; | |
2949 | } | |
2950 | return kTRUE; | |
55a288e5 | 2951 | } |
55a288e5 | 2952 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2953 | void AliTRDCalibraFit::UpdatefCountDetAndfCount(Int_t idect, Int_t i) | |
2954 | { | |
2955 | // | |
2956 | // See if we are in a new detector and update the | |
2957 | // variables fNfragZ and fNfragRphi if yes | |
3a0f6479 | 2958 | // Will never happen for only one detector (3 and 4) |
2959 | // Doesn't matter for 2 | |
2960 | // | |
2961 | if (fCount == idect) { | |
64942b85 | 2962 | // On en est au detector (or first detector in the group) |
2963 | fCountDet += 1; | |
2964 | AliDebug(2,Form("We are at the detector %d\n",fCountDet)); | |
2965 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2966 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); | |
2967 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
053767a4 | 2968 | ,(Int_t) GetStack(fCountDet) |
2969 | ,(Int_t) GetSector(fCountDet),i); | |
64942b85 | 2970 | // Set for the next detector |
2971 | fCount += fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
2972 | // calib objects | |
2973 | SetCalROC(i); | |
2974 | } | |
55a288e5 | 2975 | } |
55a288e5 | 2976 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2977 | void AliTRDCalibraFit::ReconstructFitRowMinRowMax(Int_t idect, Int_t i) | |
2978 | { | |
2979 | // | |
2980 | // Reconstruct the min pad row, max pad row, min pad col and | |
2981 | // max pad col of the calibration group for the Fit functions | |
64942b85 | 2982 | // idect is the calibration group inside the detector |
55a288e5 | 2983 | // |
3a0f6479 | 2984 | if (fDebugLevel != 1) { |
2985 | fCalibraMode->ReconstructionRowPadGroup((Int_t) (idect-(fCount-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i)))),i); | |
55a288e5 | 2986 | } |
64942b85 | 2987 | AliDebug(2,Form("AliTRDCalibraFit::ReconstructFitRowMinRowMax: the local calibration group is %d",idect-(fCount-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i))))); |
2988 | AliDebug(2,Form("AliTRDCalibraFit::ReconstructFitRowMinRowMax: the number of group per detector is %d",fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i))); | |
55a288e5 | 2989 | } |
55a288e5 | 2990 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3a0f6479 | 2991 | Bool_t AliTRDCalibraFit::NotEnoughStatisticCH(Int_t idect) |
55a288e5 | 2992 | { |
2993 | // | |
2994 | // For the case where there are not enough entries in the histograms | |
3a0f6479 | 2995 | // of the calibration group, the value present in the choosen database |
2996 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2997 | // | |
2998 | ||
2999 | if (fDebugLevel == 1) { | |
3000 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 3001 | } |
64942b85 | 3002 | else if (fNbDet > 0){ |
3003 | Int_t firstdetector = fCountDet; | |
3004 | Int_t lastdetector = fCountDet+fNbDet; | |
3005 | AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted" | |
3006 | ,idect,firstdetector,lastdetector)); | |
3007 | // loop over detectors | |
3008 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3009 | ||
3010 | //Set the calibration object again | |
3011 | fCountDet = det; | |
3012 | SetCalROC(0); | |
3013 | ||
3014 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3015 | // Put them at 1 | |
3016 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),0); | |
3017 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3018 | ,(Int_t) GetStack(fCountDet) | |
3019 | ,(Int_t) GetSector(fCountDet),0); | |
3020 | // Reconstruct row min row max | |
3021 | ReconstructFitRowMinRowMax(idect,0); | |
3022 | ||
3023 | // Calcul the coef from the database choosen for the detector | |
3024 | CalculChargeCoefMean(kFALSE); | |
3025 | ||
3026 | //stack 2, not stack 2 | |
3027 | Int_t factor = 0; | |
3028 | if(GetStack(fCountDet) == 2) factor = 12; | |
3029 | else factor = 16; | |
3030 | ||
3031 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3032 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3033 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3034 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
3035 | } | |
3036 | } | |
3037 | ||
3038 | //Put default value negative | |
3039 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3040 | fCurrentCoefE = 0.0; | |
3041 | ||
3042 | // Fill the stuff | |
3043 | FillVectorFit(); | |
3044 | // Debug | |
3045 | if(fDebugLevel > 1){ | |
3046 | ||
3047 | if ( !fDebugStreamer ) { | |
3048 | //debug stream | |
3049 | TDirectory *backup = gDirectory; | |
3050 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); | |
3051 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3052 | } | |
3053 | ||
3054 | Int_t detector = fCountDet; | |
3055 | Int_t caligroup = idect; | |
3056 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
3057 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
3058 | Short_t colmin = fCalibraMode->GetColMin(0); | |
3059 | Short_t colmax = fCalibraMode->GetColMax(0); | |
3060 | Float_t gf = fCurrentCoef[0]; | |
3061 | Float_t gfs = fCurrentCoef[1]; | |
3062 | Float_t gfE = fCurrentCoefE; | |
3063 | ||
3064 | (*fDebugStreamer) << "FillFillCH" << | |
3065 | "detector=" << detector << | |
3066 | "caligroup=" << caligroup << | |
3067 | "rowmin=" << rowmin << | |
3068 | "rowmax=" << rowmax << | |
3069 | "colmin=" << colmin << | |
3070 | "colmax=" << colmax << | |
3071 | "gf=" << gf << | |
3072 | "gfs=" << gfs << | |
3073 | "gfE=" << gfE << | |
3074 | "\n"; | |
3075 | ||
3076 | } | |
3077 | // Reset | |
3078 | for (Int_t k = 0; k < 2304; k++) { | |
3079 | fCurrentCoefDetector[k] = 0.0; | |
3080 | } | |
3081 | ||
3082 | }// loop detector | |
3083 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
3084 | } | |
3a0f6479 | 3085 | else { |
55a288e5 | 3086 | |
3a0f6479 | 3087 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
3088 | ,idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0))),fCountDet)); | |
3089 | ||
3090 | // Calcul the coef from the database choosen | |
3091 | CalculChargeCoefMean(kFALSE); | |
55a288e5 | 3092 | |
053767a4 | 3093 | //stack 2, not stack 2 |
3a0f6479 | 3094 | Int_t factor = 0; |
053767a4 | 3095 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 3096 | else factor = 16; |
55a288e5 | 3097 | |
3a0f6479 | 3098 | // Fill the fCurrentCoefDetector with negative value to say: not fitted |
3099 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3100 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3101 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 3102 | } |
3103 | } | |
3a0f6479 | 3104 | |
3105 | //Put default value negative | |
3106 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3107 | fCurrentCoefE = 0.0; | |
3108 | ||
3109 | FillFillCH(idect); | |
3110 | } | |
3111 | ||
3112 | return kTRUE; | |
55a288e5 | 3113 | } |
3114 | ||
3a0f6479 | 3115 | |
3116 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
64942b85 | 3117 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPH(Int_t idect,Double_t nentries) |
55a288e5 | 3118 | { |
3119 | // | |
3a0f6479 | 3120 | // For the case where there are not enough entries in the histograms |
3121 | // of the calibration group, the value present in the choosen database | |
3122 | // will be put. A negativ sign enables to know that a fit was not possible. | |
55a288e5 | 3123 | // |
3a0f6479 | 3124 | if (fDebugLevel == 1) { |
3125 | AliInfo("The element has not enough statistic to be fitted"); | |
3126 | } | |
64942b85 | 3127 | else if (fNbDet > 0) { |
3128 | ||
3129 | Int_t firstdetector = fCountDet; | |
3130 | Int_t lastdetector = fCountDet+fNbDet; | |
3131 | AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted" | |
3132 | ,idect,firstdetector,lastdetector)); | |
3133 | // loop over detectors | |
3134 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3135 | ||
3136 | //Set the calibration object again | |
3137 | fCountDet = det; | |
3138 | SetCalROC(1); | |
3139 | ||
3140 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3141 | // Put them at 1 | |
3142 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),1); | |
3143 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3144 | ,(Int_t) GetStack(fCountDet) | |
3145 | ,(Int_t) GetSector(fCountDet),1); | |
3146 | // Reconstruct row min row max | |
3147 | ReconstructFitRowMinRowMax(idect,1); | |
3148 | ||
3149 | // Calcul the coef from the database choosen for the detector | |
3150 | CalculVdriftCoefMean(); | |
3151 | CalculT0CoefMean(); | |
3152 | ||
3153 | //stack 2, not stack 2 | |
3154 | Int_t factor = 0; | |
3155 | if(GetStack(fCountDet) == 2) factor = 12; | |
3156 | else factor = 16; | |
3157 | ||
3158 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3159 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3160 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3161 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
3162 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[1] + 100.0; | |
3163 | } | |
3164 | } | |
3165 | ||
3166 | //Put default value negative | |
3167 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3168 | fCurrentCoefE = 0.0; | |
3169 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
3170 | fCurrentCoefE2 = 0.0; | |
3171 | ||
3172 | // Fill the stuff | |
3173 | FillVectorFit(); | |
3174 | FillVectorFit2(); | |
3175 | // Debug | |
3176 | if(fDebugLevel > 1){ | |
3177 | ||
3178 | if ( !fDebugStreamer ) { | |
3179 | //debug stream | |
3180 | TDirectory *backup = gDirectory; | |
3181 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); | |
3182 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3183 | } | |
3184 | ||
3185 | ||
3186 | Int_t detector = fCountDet; | |
3187 | Int_t caligroup = idect; | |
3188 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
3189 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
3190 | Short_t colmin = fCalibraMode->GetColMin(1); | |
3191 | Short_t colmax = fCalibraMode->GetColMax(1); | |
3192 | Float_t vf = fCurrentCoef[0]; | |
3193 | Float_t vs = fCurrentCoef[1]; | |
3194 | Float_t vfE = fCurrentCoefE; | |
3195 | Float_t t0f = fCurrentCoef2[0]; | |
3196 | Float_t t0s = fCurrentCoef2[1]; | |
3197 | Float_t t0E = fCurrentCoefE2; | |
3198 | ||
3199 | ||
3200 | ||
3201 | (* fDebugStreamer) << "FillFillPH"<< | |
3202 | "detector="<<detector<< | |
3203 | "nentries="<<nentries<< | |
3204 | "caligroup="<<caligroup<< | |
3205 | "rowmin="<<rowmin<< | |
3206 | "rowmax="<<rowmax<< | |
3207 | "colmin="<<colmin<< | |
3208 | "colmax="<<colmax<< | |
3209 | "vf="<<vf<< | |
3210 | "vs="<<vs<< | |
3211 | "vfE="<<vfE<< | |
3212 | "t0f="<<t0f<< | |
3213 | "t0s="<<t0s<< | |
3214 | "t0E="<<t0E<< | |
3215 | "\n"; | |
3216 | } | |
3217 | // Reset | |
3218 | for (Int_t k = 0; k < 2304; k++) { | |
3219 | fCurrentCoefDetector[k] = 0.0; | |
3220 | fCurrentCoefDetector2[k] = 0.0; | |
3221 | } | |
3222 | ||
3223 | }// loop detector | |
3224 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
3225 | } | |
3a0f6479 | 3226 | else { |
55a288e5 | 3227 | |
3a0f6479 | 3228 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
3229 | ,idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1))),fCountDet)); | |
55a288e5 | 3230 | |
3a0f6479 | 3231 | CalculVdriftCoefMean(); |
3232 | CalculT0CoefMean(); | |
55a288e5 | 3233 | |
053767a4 | 3234 | //stack 2 and not stack 2 |
3a0f6479 | 3235 | Int_t factor = 0; |
053767a4 | 3236 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 3237 | else factor = 16; |
55a288e5 | 3238 | |
55a288e5 | 3239 | |
3a0f6479 | 3240 | // Fill the fCurrentCoefDetector 2 |
3241 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3242 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3243 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
64942b85 | 3244 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 3245 | } |
3246 | } | |
55a288e5 | 3247 | |
3a0f6479 | 3248 | // Put the default value |
3249 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3250 | fCurrentCoefE = 0.0; | |
64942b85 | 3251 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
3a0f6479 | 3252 | fCurrentCoefE2 = 0.0; |
3253 | ||
64942b85 | 3254 | FillFillPH(idect,nentries); |
3a0f6479 | 3255 | |
3256 | } | |
55a288e5 | 3257 | |
3a0f6479 | 3258 | return kTRUE; |
64942b85 | 3259 | |
3a0f6479 | 3260 | } |
3261 | ||
3262 | ||
3263 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3264 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPRF(Int_t idect) | |
3265 | { | |
3266 | // | |
3267 | // For the case where there are not enough entries in the histograms | |
3268 | // of the calibration group, the value present in the choosen database | |
3269 | // will be put. A negativ sign enables to know that a fit was not possible. | |
3270 | // | |
55a288e5 | 3271 | |
3a0f6479 | 3272 | if (fDebugLevel == 1) { |
3273 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 3274 | } |
64942b85 | 3275 | else if (fNbDet > 0){ |
3276 | ||
3277 | Int_t firstdetector = fCountDet; | |
3278 | Int_t lastdetector = fCountDet+fNbDet; | |
3279 | AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted" | |
3280 | ,idect,firstdetector,lastdetector)); | |
3281 | ||
3282 | // loop over detectors | |
3283 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3284 | ||
3285 | //Set the calibration object again | |
3286 | fCountDet = det; | |
3287 | SetCalROC(2); | |
3288 | ||
3289 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3290 | // Put them at 1 | |
3291 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),2); | |
3292 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3293 | ,(Int_t) GetStack(fCountDet) | |
3294 | ,(Int_t) GetSector(fCountDet),2); | |
3295 | // Reconstruct row min row max | |
3296 | ReconstructFitRowMinRowMax(idect,2); | |
3297 | ||
3298 | // Calcul the coef from the database choosen for the detector | |
3299 | CalculPRFCoefMean(); | |
3300 | ||
3301 | //stack 2, not stack 2 | |
3302 | Int_t factor = 0; | |
3303 | if(GetStack(fCountDet) == 2) factor = 12; | |
3304 | else factor = 16; | |
3305 | ||
3306 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3307 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3308 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3309 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
3310 | } | |
3311 | } | |
3312 | ||
3313 | //Put default value negative | |
3314 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3315 | fCurrentCoefE = 0.0; | |
3316 | ||
3317 | // Fill the stuff | |
3318 | FillVectorFit(); | |
3319 | // Debug | |
3320 | if(fDebugLevel > 1){ | |
3321 | ||
3322 | if ( !fDebugStreamer ) { | |
3323 | //debug stream | |
3324 | TDirectory *backup = gDirectory; | |
3325 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); | |
3326 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3327 | } | |
3328 | ||
3329 | Int_t detector = fCountDet; | |
3330 | Int_t layer = GetLayer(fCountDet); | |
3331 | Int_t caligroup = idect; | |
3332 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
3333 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
3334 | Short_t colmin = fCalibraMode->GetColMin(2); | |
3335 | Short_t colmax = fCalibraMode->GetColMax(2); | |
3336 | Float_t widf = fCurrentCoef[0]; | |
3337 | Float_t wids = fCurrentCoef[1]; | |
3338 | Float_t widfE = fCurrentCoefE; | |
3339 | ||
3340 | (* fDebugStreamer) << "FillFillPRF"<< | |
3341 | "detector="<<detector<< | |
3342 | "layer="<<layer<< | |
3343 | "caligroup="<<caligroup<< | |
3344 | "rowmin="<<rowmin<< | |
3345 | "rowmax="<<rowmax<< | |
3346 | "colmin="<<colmin<< | |
3347 | "colmax="<<colmax<< | |
3348 | "widf="<<widf<< | |
3349 | "wids="<<wids<< | |
3350 | "widfE="<<widfE<< | |
3351 | "\n"; | |
3352 | } | |
3353 | // Reset | |
3354 | for (Int_t k = 0; k < 2304; k++) { | |
3355 | fCurrentCoefDetector[k] = 0.0; | |
3356 | } | |
3357 | ||
3358 | }// loop detector | |
3359 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
3360 | } | |
3a0f6479 | 3361 | else { |
3362 | ||
3363 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" | |
3364 | ,idect-(fCount-(fCalibraMode->GetNfragZ(2)*fCalibraMode->GetNfragRphi(2))),fCountDet)); | |
3365 | ||
3366 | CalculPRFCoefMean(); | |
3367 | ||
053767a4 | 3368 | // stack 2 and not stack 2 |
3a0f6479 | 3369 | Int_t factor = 0; |
053767a4 | 3370 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 3371 | else factor = 16; |
55a288e5 | 3372 | |
55a288e5 | 3373 | |
3a0f6479 | 3374 | // Fill the fCurrentCoefDetector |
3375 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3376 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
64942b85 | 3377 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); |
55a288e5 | 3378 | } |
3379 | } | |
55a288e5 | 3380 | |
3a0f6479 | 3381 | // Put the default value |
64942b85 | 3382 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3a0f6479 | 3383 | fCurrentCoefE = 0.0; |
3384 | ||
3385 | FillFillPRF(idect); | |
3386 | } | |
3387 | ||
3388 | return kTRUE; | |
55a288e5 | 3389 | |
3a0f6479 | 3390 | } |
3391 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3392 | Bool_t AliTRDCalibraFit::NotEnoughStatisticLinearFitter() | |
55a288e5 | 3393 | { |
3394 | // | |
3a0f6479 | 3395 | // For the case where there are not enough entries in the histograms |
3396 | // of the calibration group, the value present in the choosen database | |
3397 | // will be put. A negativ sign enables to know that a fit was not possible. | |
3398 | // | |
3399 | ||
3400 | // Calcul the coef from the database choosen | |
3401 | CalculVdriftLorentzCoef(); | |
3402 | ||
3403 | Int_t factor = 0; | |
053767a4 | 3404 | if(GetStack(fCountDet) == 2) factor = 1728; |
3a0f6479 | 3405 | else factor = 2304; |
3406 | ||
3407 | ||
3408 | // Fill the fCurrentCoefDetector | |
3409 | for (Int_t k = 0; k < factor; k++) { | |
3410 | fCurrentCoefDetector[k] = -TMath::Abs(fCurrentCoef[1]); | |
3411 | // should be negative | |
3412 | fCurrentCoefDetector2[k] = +TMath::Abs(fCurrentCoef2[1]); | |
55a288e5 | 3413 | } |
3a0f6479 | 3414 | |
3415 | ||
3416 | //Put default opposite sign | |
3417 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3418 | fCurrentCoefE = 0.0; | |
3419 | fCurrentCoef2[0] = +TMath::Abs(fCurrentCoef2[1]); | |
3420 | fCurrentCoefE2 = 0.0; | |
3421 | ||
3422 | FillFillLinearFitter(); | |
3423 | ||
3424 | return kTRUE; | |
55a288e5 | 3425 | } |
3426 | ||
3a0f6479 | 3427 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3428 | Bool_t AliTRDCalibraFit::FillInfosFitCH(Int_t idect) | |
55a288e5 | 3429 | { |
3430 | // | |
3a0f6479 | 3431 | // Fill the coefficients found with the fits or other |
3432 | // methods from the Fit functions | |
3433 | // | |
3434 | ||
3435 | if (fDebugLevel != 1) { | |
64942b85 | 3436 | if (fNbDet > 0){ |
3437 | Int_t firstdetector = fCountDet; | |
3438 | Int_t lastdetector = fCountDet+fNbDet; | |
3439 | AliInfo(Form("The element %d containing the detectors %d to %d has been fitted" | |
3440 | ,idect,firstdetector,lastdetector)); | |
3441 | // loop over detectors | |
3442 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3443 | ||
3444 | //Set the calibration object again | |
3445 | fCountDet = det; | |
3446 | SetCalROC(0); | |
3447 | ||
3448 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3449 | // Put them at 1 | |
3450 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),0); | |
3451 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3452 | ,(Int_t) GetStack(fCountDet) | |
3453 | ,(Int_t) GetSector(fCountDet),0); | |
3454 | // Reconstruct row min row max | |
3455 | ReconstructFitRowMinRowMax(idect,0); | |
3456 | ||
3457 | // Calcul the coef from the database choosen for the detector | |
3458 | if(fCurrentCoef[0] < 0.0) CalculChargeCoefMean(kFALSE); | |
3459 | else CalculChargeCoefMean(kTRUE); | |
3460 | ||
3461 | //stack 2, not stack 2 | |
3462 | Int_t factor = 0; | |
3463 | if(GetStack(fCountDet) == 2) factor = 12; | |
3464 | else factor = 16; | |
3465 | ||
3466 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3467 | Double_t coeftoput = 1.0; | |
3468 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3469 | else coeftoput = fCurrentCoef[0]; | |
3470 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3471 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3472 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3473 | } | |
3474 | } | |
3475 | ||
3476 | // Fill the stuff | |
3477 | FillVectorFit(); | |
3478 | // Debug | |
3479 | if(fDebugLevel > 1){ | |
3480 | ||
3481 | if ( !fDebugStreamer ) { | |
3482 | //debug stream | |
3483 | TDirectory *backup = gDirectory; | |
3484 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); | |
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 | ||
3498 | (*fDebugStreamer) << "FillFillCH" << | |
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 | // Reset | |
3512 | for (Int_t k = 0; k < 2304; k++) { | |
3513 | fCurrentCoefDetector[k] = 0.0; | |
3514 | } | |
3515 | ||
3516 | }// loop detector | |
3517 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3518 | } | |
3519 | else{ | |
3520 | ||
3521 | Int_t factor = 0; | |
3522 | if(GetStack(fCountDet) == 2) factor = 12; | |
3523 | else factor = 16; | |
3524 | ||
3525 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3526 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3527 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3528 | } | |
3a0f6479 | 3529 | } |
64942b85 | 3530 | |
3531 | FillFillCH(idect); | |
55a288e5 | 3532 | } |
3533 | } | |
55a288e5 | 3534 | |
3a0f6479 | 3535 | return kTRUE; |
3536 | ||
3537 | } | |
3538 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
64942b85 | 3539 | Bool_t AliTRDCalibraFit::FillInfosFitPH(Int_t idect,Double_t nentries) |
55a288e5 | 3540 | { |
3541 | // | |
3a0f6479 | 3542 | // Fill the coefficients found with the fits or other |
3543 | // methods from the Fit functions | |
3544 | // | |
3545 | ||
3546 | if (fDebugLevel != 1) { | |
64942b85 | 3547 | if (fNbDet > 0){ |
3548 | ||
3549 | Int_t firstdetector = fCountDet; | |
3550 | Int_t lastdetector = fCountDet+fNbDet; | |
3551 | AliInfo(Form("The element %d containing the detectors %d to %d has been fitted" | |
3552 | ,idect,firstdetector,lastdetector)); | |
3553 | ||
3554 | // loop over detectors | |
3555 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3556 | ||
3557 | //Set the calibration object again | |
3558 | fCountDet = det; | |
3559 | SetCalROC(1); | |
3560 | ||
3561 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3562 | // Put them at 1 | |
3563 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),1); | |
3564 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3565 | ,(Int_t) GetStack(fCountDet) | |
3566 | ,(Int_t) GetSector(fCountDet),1); | |
3567 | // Reconstruct row min row max | |
3568 | ReconstructFitRowMinRowMax(idect,1); | |
3569 | ||
3570 | // Calcul the coef from the database choosen for the detector | |
3571 | CalculVdriftCoefMean(); | |
3572 | CalculT0CoefMean(); | |
3573 | ||
3574 | //stack 2, not stack 2 | |
3575 | Int_t factor = 0; | |
3576 | if(GetStack(fCountDet) == 2) factor = 12; | |
3577 | else factor = 16; | |
3578 | ||
3579 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3580 | Double_t coeftoput = 1.5; | |
3581 | Double_t coeftoput2 = 0.0; | |
3582 | ||
3583 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3584 | else coeftoput = fCurrentCoef[0]; | |
3585 | ||
3586 | if(fCurrentCoef2[0] > 70.0) coeftoput2 = fCurrentCoef2[1] + 100.0; | |
3587 | else coeftoput2 = fCurrentCoef2[0]; | |
3588 | ||
3589 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3590 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3591 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3592 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = coeftoput2; | |
3593 | } | |
3594 | } | |
3595 | ||
3596 | // Fill the stuff | |
3597 | FillVectorFit(); | |
3598 | FillVectorFit2(); | |
3599 | // Debug | |
3600 | if(fDebugLevel > 1){ | |
3601 | ||
3602 | if ( !fDebugStreamer ) { | |
3603 | //debug stream | |
3604 | TDirectory *backup = gDirectory; | |
3605 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); | |
3606 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3607 | } | |
3608 | ||
3609 | ||
3610 | Int_t detector = fCountDet; | |
3611 | Int_t caligroup = idect; | |
3612 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
3613 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
3614 | Short_t colmin = fCalibraMode->GetColMin(1); | |
3615 | Short_t colmax = fCalibraMode->GetColMax(1); | |
3616 | Float_t vf = fCurrentCoef[0]; | |
3617 | Float_t vs = fCurrentCoef[1]; | |
3618 | Float_t vfE = fCurrentCoefE; | |
3619 | Float_t t0f = fCurrentCoef2[0]; | |
3620 | Float_t t0s = fCurrentCoef2[1]; | |
3621 | Float_t t0E = fCurrentCoefE2; | |
3622 | ||
3623 | ||
3624 | ||
3625 | (* fDebugStreamer) << "FillFillPH"<< | |
3626 | "detector="<<detector<< | |
3627 | "nentries="<<nentries<< | |
3628 | "caligroup="<<caligroup<< | |
3629 | "rowmin="<<rowmin<< | |
3630 | "rowmax="<<rowmax<< | |
3631 | "colmin="<<colmin<< | |
3632 | "colmax="<<colmax<< | |
3633 | "vf="<<vf<< | |
3634 | "vs="<<vs<< | |
3635 | "vfE="<<vfE<< | |
3636 | "t0f="<<t0f<< | |
3637 | "t0s="<<t0s<< | |
3638 | "t0E="<<t0E<< | |
3639 | "\n"; | |
3640 | } | |
3641 | // Reset | |
3642 | for (Int_t k = 0; k < 2304; k++) { | |
3643 | fCurrentCoefDetector[k] = 0.0; | |
3644 | fCurrentCoefDetector2[k] = 0.0; | |
3645 | } | |
3646 | ||
3647 | }// loop detector | |
3648 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3649 | } | |
3650 | else { | |
3651 | ||
3652 | Int_t factor = 0; | |
3653 | if(GetStack(fCountDet) == 2) factor = 12; | |
3654 | else factor = 16; | |
3655 | ||
3656 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3657 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3658 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3659 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[0]; | |
3660 | } | |
3661 | } | |
3662 | ||
3663 | FillFillPH(idect,nentries); | |
3664 | } | |
55a288e5 | 3665 | } |
3a0f6479 | 3666 | return kTRUE; |
55a288e5 | 3667 | } |
3a0f6479 | 3668 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3669 | Bool_t AliTRDCalibraFit::FillInfosFitPRF(Int_t idect) | |
55a288e5 | 3670 | { |
3671 | // | |
3a0f6479 | 3672 | // Fill the coefficients found with the fits or other |
3673 | // methods from the Fit functions | |
55a288e5 | 3674 | // |
3a0f6479 | 3675 | |
3676 | if (fDebugLevel != 1) { | |
64942b85 | 3677 | if (fNbDet > 0){ |
3a0f6479 | 3678 | |
64942b85 | 3679 | Int_t firstdetector = fCountDet; |
3680 | Int_t lastdetector = fCountDet+fNbDet; | |
3681 | AliInfo(Form("The element %d containing the detectors %d to %d has been fitted" | |
3682 | ,idect,firstdetector,lastdetector)); | |
3683 | ||
3684 | // loop over detectors | |
3685 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3686 | ||
3687 | //Set the calibration object again | |
3688 | fCountDet = det; | |
3689 | SetCalROC(2); | |
3690 | ||
3691 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3692 | // Put them at 1 | |
3693 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),2); | |
3694 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3695 | ,(Int_t) GetStack(fCountDet) | |
3696 | ,(Int_t) GetSector(fCountDet),2); | |
3697 | // Reconstruct row min row max | |
3698 | ReconstructFitRowMinRowMax(idect,2); | |
3699 | ||
3700 | // Calcul the coef from the database choosen for the detector | |
3701 | CalculPRFCoefMean(); | |
3702 | ||
3703 | //stack 2, not stack 2 | |
3704 | Int_t factor = 0; | |
3705 | if(GetStack(fCountDet) == 2) factor = 12; | |
3706 | else factor = 16; | |
3707 | ||
3708 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3709 | Double_t coeftoput = 1.0; | |
3710 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3711 | else coeftoput = fCurrentCoef[0]; | |
3712 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3713 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3714 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3715 | } | |
3716 | } | |
3717 | ||
3718 | // Fill the stuff | |
3719 | FillVectorFit(); | |
3720 | // Debug | |
3721 | if(fDebugLevel > 1){ | |
3722 | ||
3723 | if ( !fDebugStreamer ) { | |
3724 | //debug stream | |
3725 | TDirectory *backup = gDirectory; | |
3726 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); | |
3727 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3728 | } | |
3729 | ||
3730 | Int_t detector = fCountDet; | |
3731 | Int_t layer = GetLayer(fCountDet); | |
3732 | Int_t caligroup = idect; | |
3733 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
3734 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
3735 | Short_t colmin = fCalibraMode->GetColMin(2); | |
3736 | Short_t colmax = fCalibraMode->GetColMax(2); | |
3737 | Float_t widf = fCurrentCoef[0]; | |
3738 | Float_t wids = fCurrentCoef[1]; | |
3739 | Float_t widfE = fCurrentCoefE; | |
3740 | ||
3741 | (* fDebugStreamer) << "FillFillPRF"<< | |
3742 | "detector="<<detector<< | |
3743 | "layer="<<layer<< | |
3744 | "caligroup="<<caligroup<< | |
3745 | "rowmin="<<rowmin<< | |
3746 | "rowmax="<<rowmax<< | |
3747 | "colmin="<<colmin<< | |
3748 | "colmax="<<colmax<< | |
3749 | "widf="<<widf<< | |
3750 | "wids="<<wids<< | |
3751 | "widfE="<<widfE<< | |
3752 | "\n"; | |
3753 | } | |
3754 | // Reset | |
3755 | for (Int_t k = 0; k < 2304; k++) { | |
3756 | fCurrentCoefDetector[k] = 0.0; | |
3757 | } | |
3758 | ||
3759 | }// loop detector | |
3760 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3761 | } | |
3762 | else { | |
3763 | ||
3764 | Int_t factor = 0; | |
3765 | if(GetStack(fCountDet) == 2) factor = 12; | |
3766 | else factor = 16; | |
3767 | ||
3768 | // Pointer to the branch | |
3769 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3770 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3771 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3772 | } | |
3a0f6479 | 3773 | } |
64942b85 | 3774 | FillFillPRF(idect); |
55a288e5 | 3775 | } |
3776 | } | |
64942b85 | 3777 | |
3a0f6479 | 3778 | return kTRUE; |
55a288e5 | 3779 | |
3a0f6479 | 3780 | } |
3781 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3782 | Bool_t AliTRDCalibraFit::FillInfosFitLinearFitter() | |
55a288e5 | 3783 | { |
3784 | // | |
3a0f6479 | 3785 | // Fill the coefficients found with the fits or other |
3786 | // methods from the Fit functions | |
55a288e5 | 3787 | // |
3a0f6479 | 3788 | |
3789 | Int_t factor = 0; | |
053767a4 | 3790 | if(GetStack(fCountDet) == 2) factor = 1728; |
3a0f6479 | 3791 | else factor = 2304; |
3792 | ||
3793 | // Pointer to the branch | |
3794 | for (Int_t k = 0; k < factor; k++) { | |
3795 | fCurrentCoefDetector[k] = fCurrentCoef[0]; | |
3796 | fCurrentCoefDetector2[k] = fCurrentCoef2[0]; | |
55a288e5 | 3797 | } |
3a0f6479 | 3798 | |
3799 | FillFillLinearFitter(); | |
3800 | ||
3801 | return kTRUE; | |
55a288e5 | 3802 | |
3803 | } | |
3a0f6479 | 3804 | //________________________________________________________________________________ |
3805 | void AliTRDCalibraFit::FillFillCH(Int_t idect) | |
55a288e5 | 3806 | { |
3807 | // | |
3a0f6479 | 3808 | // DebugStream and fVectorFit |
55a288e5 | 3809 | // |
3810 | ||
3a0f6479 | 3811 | // End of one detector |
3812 | if ((idect == (fCount-1))) { | |
3813 | FillVectorFit(); | |
3814 | // Reset | |
3815 | for (Int_t k = 0; k < 2304; k++) { | |
3816 | fCurrentCoefDetector[k] = 0.0; | |
3817 | } | |
55a288e5 | 3818 | } |
3819 | ||
3a0f6479 | 3820 | if(fDebugLevel > 1){ |
55a288e5 | 3821 | |
3a0f6479 | 3822 | if ( !fDebugStreamer ) { |
3823 | //debug stream | |
3824 | TDirectory *backup = gDirectory; | |
4aad967c | 3825 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); |
3a0f6479 | 3826 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3827 | } | |
3828 | ||
3829 | Int_t detector = fCountDet; | |
3830 | Int_t caligroup = idect; | |
3831 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
3832 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
3833 | Short_t colmin = fCalibraMode->GetColMin(0); | |
3834 | Short_t colmax = fCalibraMode->GetColMax(0); | |
3835 | Float_t gf = fCurrentCoef[0]; | |
3836 | Float_t gfs = fCurrentCoef[1]; | |
3837 | Float_t gfE = fCurrentCoefE; | |
3838 | ||
413153cb | 3839 | (*fDebugStreamer) << "FillFillCH" << |
3a0f6479 | 3840 | "detector=" << detector << |
3841 | "caligroup=" << caligroup << | |
3842 | "rowmin=" << rowmin << | |
3843 | "rowmax=" << rowmax << | |
3844 | "colmin=" << colmin << | |
3845 | "colmax=" << colmax << | |
3846 | "gf=" << gf << | |
3847 | "gfs=" << gfs << | |
3848 | "gfE=" << gfE << | |
3849 | "\n"; | |
3850 | ||
3851 | } | |
3852 | } | |
3853 | //________________________________________________________________________________ | |
64942b85 | 3854 | void AliTRDCalibraFit::FillFillPH(Int_t idect,Double_t nentries) |
55a288e5 | 3855 | { |
3856 | // | |
3a0f6479 | 3857 | // DebugStream and fVectorFit and fVectorFit2 |
55a288e5 | 3858 | // |
3a0f6479 | 3859 | |
3860 | // End of one detector | |
3861 | if ((idect == (fCount-1))) { | |
3862 | FillVectorFit(); | |
3863 | FillVectorFit2(); | |
3864 | // Reset | |
3865 | for (Int_t k = 0; k < 2304; k++) { | |
3866 | fCurrentCoefDetector[k] = 0.0; | |
3867 | fCurrentCoefDetector2[k] = 0.0; | |
3868 | } | |
3869 | } | |
3870 | ||
3871 | if(fDebugLevel > 1){ | |
3872 | ||
3873 | if ( !fDebugStreamer ) { | |
3874 | //debug stream | |
3875 | TDirectory *backup = gDirectory; | |
4aad967c | 3876 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); |
3a0f6479 | 3877 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3878 | } | |
3879 | ||
3880 | ||
3881 | Int_t detector = fCountDet; | |
3882 | Int_t caligroup = idect; | |
3883 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
3884 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
3885 | Short_t colmin = fCalibraMode->GetColMin(1); | |
3886 | Short_t colmax = fCalibraMode->GetColMax(1); | |
3887 | Float_t vf = fCurrentCoef[0]; | |
3888 | Float_t vs = fCurrentCoef[1]; | |
3889 | Float_t vfE = fCurrentCoefE; | |
3890 | Float_t t0f = fCurrentCoef2[0]; | |
3891 | Float_t t0s = fCurrentCoef2[1]; | |
3892 | Float_t t0E = fCurrentCoefE2; | |
3893 | ||
55a288e5 | 3894 | |
3a0f6479 | 3895 | |
413153cb | 3896 | (* fDebugStreamer) << "FillFillPH"<< |
3a0f6479 | 3897 | "detector="<<detector<< |
64942b85 | 3898 | "nentries="<<nentries<< |
3a0f6479 | 3899 | "caligroup="<<caligroup<< |
3900 | "rowmin="<<rowmin<< | |
3901 | "rowmax="<<rowmax<< | |
3902 | "colmin="<<colmin<< | |
3903 | "colmax="<<colmax<< | |
3904 | "vf="<<vf<< | |
3905 | "vs="<<vs<< | |
3906 | "vfE="<<vfE<< | |
3907 | "t0f="<<t0f<< | |
3908 | "t0s="<<t0s<< | |
3909 | "t0E="<<t0E<< | |
3910 | "\n"; | |
3911 | } | |
55a288e5 | 3912 | |
3913 | } | |
3a0f6479 | 3914 | //________________________________________________________________________________ |
3915 | void AliTRDCalibraFit::FillFillPRF(Int_t idect) | |
3916 | { | |
3917 | // | |
3918 | // DebugStream and fVectorFit | |
3919 | // | |
55a288e5 | 3920 | |
3a0f6479 | 3921 | // End of one detector |
3922 | if ((idect == (fCount-1))) { | |
3923 | FillVectorFit(); | |
3924 | // Reset | |
3925 | for (Int_t k = 0; k < 2304; k++) { | |
3926 | fCurrentCoefDetector[k] = 0.0; | |
3927 | } | |
3928 | } | |
3929 | ||
3930 | ||
3931 | if(fDebugLevel > 1){ | |
3932 | ||
3933 | if ( !fDebugStreamer ) { | |
3934 | //debug stream | |
3935 | TDirectory *backup = gDirectory; | |
4aad967c | 3936 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 3937 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3938 | } | |
3939 | ||
3940 | Int_t detector = fCountDet; | |
053767a4 | 3941 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 3942 | Int_t caligroup = idect; |
3943 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
3944 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
3945 | Short_t colmin = fCalibraMode->GetColMin(2); | |
3946 | Short_t colmax = fCalibraMode->GetColMax(2); | |
3947 | Float_t widf = fCurrentCoef[0]; | |
3948 | Float_t wids = fCurrentCoef[1]; | |
3949 | Float_t widfE = fCurrentCoefE; | |
3950 | ||
413153cb | 3951 | (* fDebugStreamer) << "FillFillPRF"<< |
3a0f6479 | 3952 | "detector="<<detector<< |
053767a4 | 3953 | "layer="<<layer<< |
3a0f6479 | 3954 | "caligroup="<<caligroup<< |
3955 | "rowmin="<<rowmin<< | |
3956 | "rowmax="<<rowmax<< | |
3957 | "colmin="<<colmin<< | |
3958 | "colmax="<<colmax<< | |
3959 | "widf="<<widf<< | |
3960 | "wids="<<wids<< | |
3961 | "widfE="<<widfE<< | |
3962 | "\n"; | |
3963 | } | |
3964 | ||
3965 | } | |
3966 | //________________________________________________________________________________ | |
3967 | void AliTRDCalibraFit::FillFillLinearFitter() | |
55a288e5 | 3968 | { |
3969 | // | |
3a0f6479 | 3970 | // DebugStream and fVectorFit |
55a288e5 | 3971 | // |
3a0f6479 | 3972 | |
3973 | // End of one detector | |
3974 | FillVectorFit(); | |
3975 | FillVectorFit2(); | |
3976 | ||
3977 | ||
3978 | // Reset | |
3979 | for (Int_t k = 0; k < 2304; k++) { | |
3980 | fCurrentCoefDetector[k] = 0.0; | |
3981 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 3982 | } |
3a0f6479 | 3983 | |
55a288e5 | 3984 | |
3a0f6479 | 3985 | if(fDebugLevel > 1){ |
55a288e5 | 3986 | |
3a0f6479 | 3987 | if ( !fDebugStreamer ) { |
3988 | //debug stream | |
3989 | TDirectory *backup = gDirectory; | |
4aad967c | 3990 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitLinearFitter.root"); |
3a0f6479 | 3991 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3992 | } | |
3993 | ||
3994 | //Debug: comparaison of the different methods (okey for first time but not for iterative procedure) | |
053767a4 | 3995 | AliTRDpadPlane *padplane = fGeo->GetPadPlane(GetLayer(fCountDet),GetStack(fCountDet)); |
3a0f6479 | 3996 | Float_t rowmd = (padplane->GetRow0()+padplane->GetRowEnd())/2.; |
053767a4 | 3997 | Float_t r = AliTRDgeometry::GetTime0(GetLayer(fCountDet)); |
3a0f6479 | 3998 | Float_t tiltangle = padplane->GetTiltingAngle(); |
3999 | Int_t detector = fCountDet; | |
053767a4 | 4000 | Int_t stack = GetStack(fCountDet); |
4001 | Int_t layer = GetLayer(fCountDet); | |
3a0f6479 | 4002 | Float_t vf = fCurrentCoef[0]; |
4003 | Float_t vs = fCurrentCoef[1]; | |
4004 | Float_t vfE = fCurrentCoefE; | |
4005 | Float_t lorentzangler = fCurrentCoef2[0]; | |
e6381f8e | 4006 | Float_t elorentzangler = fCurrentCoefE2; |
3a0f6479 | 4007 | Float_t lorentzangles = fCurrentCoef2[1]; |
4008 | ||
413153cb | 4009 | (* fDebugStreamer) << "FillFillLinearFitter"<< |
3a0f6479 | 4010 | "detector="<<detector<< |
053767a4 | 4011 | "stack="<<stack<< |
4012 | "layer="<<layer<< | |
3a0f6479 | 4013 | "rowmd="<<rowmd<< |
4014 | "r="<<r<< | |
4015 | "tiltangle="<<tiltangle<< | |
4016 | "vf="<<vf<< | |
4017 | "vs="<<vs<< | |
4018 | "vfE="<<vfE<< | |
4019 | "lorentzangler="<<lorentzangler<< | |
e6381f8e | 4020 | "Elorentzangler="<<elorentzangler<< |
3a0f6479 | 4021 | "lorentzangles="<<lorentzangles<< |
4022 | "\n"; | |
4023 | } | |
4024 | ||
4025 | } | |
55a288e5 | 4026 | // |
4027 | //____________Calcul Coef Mean_________________________________________________ | |
4028 | // | |
55a288e5 | 4029 | //_____________________________________________________________________________ |
3a0f6479 | 4030 | Bool_t AliTRDCalibraFit::CalculT0CoefMean() |
55a288e5 | 4031 | { |
4032 | // | |
4033 | // For the detector Dect calcul the mean time 0 | |
4034 | // for the calibration group idect from the choosen database | |
4035 | // | |
4036 | ||
3a0f6479 | 4037 | fCurrentCoef2[1] = 0.0; |
4038 | if(fDebugLevel != 1){ | |
64942b85 | 4039 | if(((fCalibraMode->GetNz(1) > 0) || |
4040 | (fCalibraMode->GetNrphi(1) > 0)) && ((fCalibraMode->GetNz(1) != 10) && (fCalibraMode->GetNz(1) != 100))) { | |
4041 | ||
3a0f6479 | 4042 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { |
4043 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
4044 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); | |
55a288e5 | 4045 | } |
3a0f6479 | 4046 | } |
64942b85 | 4047 | |
3a0f6479 | 4048 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); |
64942b85 | 4049 | |
3a0f6479 | 4050 | } |
4051 | else { | |
64942b85 | 4052 | |
3a0f6479 | 4053 | if(!fAccCDB){ |
4054 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
4055 | } | |
4056 | else{ | |
64942b85 | 4057 | |
053767a4 | 4058 | for(Int_t row = 0; row < fGeo->GetRowMax(GetLayer(fCountDet),GetStack(fCountDet),GetSector(fCountDet)); row++){ |
4059 | for(Int_t col = 0; col < fGeo->GetColMax(GetLayer(fCountDet)); col++){ | |
3a0f6479 | 4060 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); |
4061 | } | |
55a288e5 | 4062 | } |
053767a4 | 4063 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fGeo->GetRowMax(GetLayer(fCountDet),GetStack(fCountDet),GetSector(fCountDet)))*(fGeo->GetColMax(GetLayer(fCountDet)))); |
64942b85 | 4064 | |
55a288e5 | 4065 | } |
4066 | } | |
55a288e5 | 4067 | } |
55a288e5 | 4068 | return kTRUE; |
55a288e5 | 4069 | } |
4070 | ||
4071 | //_____________________________________________________________________________ | |
3a0f6479 | 4072 | Bool_t AliTRDCalibraFit::CalculChargeCoefMean(Bool_t vrai) |
55a288e5 | 4073 | { |
4074 | // | |
4075 | // For the detector Dect calcul the mean gain factor | |
4076 | // for the calibration group idect from the choosen database | |
4077 | // | |
4078 | ||
3a0f6479 | 4079 | fCurrentCoef[1] = 0.0; |
4080 | if(fDebugLevel != 1){ | |
64942b85 | 4081 | if (((fCalibraMode->GetNz(0) > 0) || |
4082 | (fCalibraMode->GetNrphi(0) > 0)) && ((fCalibraMode->GetNz(0) != 10) && (fCalibraMode->GetNz(0) != 100))) { | |
3a0f6479 | 4083 | for (Int_t row = fCalibraMode->GetRowMin(0); row < fCalibraMode->GetRowMax(0); row++) { |
4084 | for (Int_t col = fCalibraMode->GetColMin(0); col < fCalibraMode->GetColMax(0); col++) { | |
4085 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
4086 | if (vrai) fScaleFitFactor += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 4087 | } |
4088 | } | |
3a0f6479 | 4089 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0))); |
55a288e5 | 4090 | } |
3a0f6479 | 4091 | else { |
4092 | //Per detectors | |
4093 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
4094 | if (vrai) fScaleFitFactor += ((Float_t) fCalDet->GetValue(fCountDet))*(fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0)); | |
4095 | } | |
55a288e5 | 4096 | } |
55a288e5 | 4097 | return kTRUE; |
55a288e5 | 4098 | } |
55a288e5 | 4099 | //_____________________________________________________________________________ |
3a0f6479 | 4100 | Bool_t AliTRDCalibraFit::CalculPRFCoefMean() |
55a288e5 | 4101 | { |
4102 | // | |
4103 | // For the detector Dect calcul the mean sigma of pad response | |
4104 | // function for the calibration group idect from the choosen database | |
4105 | // | |
3a0f6479 | 4106 | |
4107 | fCurrentCoef[1] = 0.0; | |
4108 | if(fDebugLevel != 1){ | |
55a288e5 | 4109 | for (Int_t row = fCalibraMode->GetRowMin(2); row < fCalibraMode->GetRowMax(2); row++) { |
4110 | for (Int_t col = fCalibraMode->GetColMin(2); col < fCalibraMode->GetColMax(2); col++) { | |
3a0f6479 | 4111 | fCurrentCoef[1] += (Float_t) fCalROC->GetValue(col,row); |
55a288e5 | 4112 | } |
4113 | } | |
3a0f6479 | 4114 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(2)-fCalibraMode->GetColMin(2))*(fCalibraMode->GetRowMax(2)-fCalibraMode->GetRowMin(2))); |
55a288e5 | 4115 | } |
55a288e5 | 4116 | return kTRUE; |
55a288e5 | 4117 | } |
55a288e5 | 4118 | //_____________________________________________________________________________ |
3a0f6479 | 4119 | Bool_t AliTRDCalibraFit::CalculVdriftCoefMean() |
55a288e5 | 4120 | { |
4121 | // | |
4122 | // For the detector dect calcul the mean drift velocity for the | |
4123 | // calibration group idect from the choosen database | |
4124 | // | |
4125 | ||
3a0f6479 | 4126 | fCurrentCoef[1] = 0.0; |
4127 | if(fDebugLevel != 1){ | |
64942b85 | 4128 | if (((fCalibraMode->GetNz(1) > 0) || |
4129 | (fCalibraMode->GetNrphi(1) > 0)) && ((fCalibraMode->GetNz(1) != 10) && (fCalibraMode->GetNz(1) != 100))) { | |
4130 | ||
3a0f6479 | 4131 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { |
4132 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
4133 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 4134 | } |
4135 | } | |
64942b85 | 4136 | |
3a0f6479 | 4137 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); |
64942b85 | 4138 | |
55a288e5 | 4139 | } |
3a0f6479 | 4140 | else { |
4141 | //per detectors | |
4142 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
4143 | } | |
55a288e5 | 4144 | } |
55a288e5 | 4145 | return kTRUE; |
55a288e5 | 4146 | } |
3a0f6479 | 4147 | //_____________________________________________________________________________ |
4148 | Bool_t AliTRDCalibraFit::CalculVdriftLorentzCoef() | |
4149 | { | |
4150 | // | |
4151 | // For the detector fCountDet, mean drift velocity and tan lorentzangle | |
4152 | // | |
4153 | ||
4154 | fCurrentCoef[1] = fCalDet->GetValue(fCountDet); | |
4155 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
55a288e5 | 4156 | |
3a0f6479 | 4157 | return kTRUE; |
4158 | } | |
55a288e5 | 4159 | //_____________________________________________________________________________ |
053767a4 | 4160 | Float_t AliTRDCalibraFit::GetPRFDefault(Int_t layer) const |
55a288e5 | 4161 | { |
4162 | // | |
4163 | // Default width of the PRF if there is no database as reference | |
4164 | // | |
053767a4 | 4165 | switch(layer) |
3a0f6479 | 4166 | { |
4167 | // default database | |
4168 | //case 0: return 0.515; | |
4169 | //case 1: return 0.502; | |
4170 | //case 2: return 0.491; | |
4171 | //case 3: return 0.481; | |
4172 | //case 4: return 0.471; | |
4173 | //case 5: return 0.463; | |
4174 | //default: return 0.0; | |
4175 | ||
4176 | // fit database | |
4177 | case 0: return 0.538429; | |
4178 | case 1: return 0.524302; | |
4179 | case 2: return 0.511591; | |
4180 | case 3: return 0.500140; | |
4181 | case 4: return 0.489821; | |
4182 | case 5: return 0.480524; | |
4183 | default: return 0.0; | |
55a288e5 | 4184 | } |
3a0f6479 | 4185 | } |
4186 | //________________________________________________________________________________ | |
4187 | void AliTRDCalibraFit::SetCalROC(Int_t i) | |
4188 | { | |
4189 | // | |
4190 | // Set the calib object for fCountDet | |
4191 | // | |
4192 | ||
4193 | Float_t value = 0.0; | |
4194 | ||
4195 | //Get the CalDet object | |
4196 | if(fAccCDB){ | |
4197 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
4198 | if (!cal) { | |
4199 | AliInfo("Could not get calibDB"); | |
4200 | return; | |
4201 | } | |
4202 | switch (i) | |
4203 | { | |
4204 | case 0: | |
64942b85 | 4205 | if( fCalROC ){ |
4206 | fCalROC->~AliTRDCalROC(); | |
4207 | new(fCalROC) AliTRDCalROC(*(cal->GetGainFactorROC(fCountDet))); | |
4208 | }else fCalROC = new AliTRDCalROC(*(cal->GetGainFactorROC(fCountDet))); | |
3a0f6479 | 4209 | break; |
4210 | case 1: | |
64942b85 | 4211 | if( fCalROC ){ |
4212 | fCalROC->~AliTRDCalROC(); | |
4213 | new(fCalROC) AliTRDCalROC(*(cal->GetVdriftROC(fCountDet))); | |
4214 | }else fCalROC = new AliTRDCalROC(*(cal->GetVdriftROC(fCountDet))); | |
4215 | if( fCalROC2 ){ | |
4216 | fCalROC2->~AliTRDCalROC(); | |
4217 | new(fCalROC2) AliTRDCalROC(*(cal->GetT0ROC(fCountDet))); | |
4218 | }else fCalROC2 = new AliTRDCalROC(*(cal->GetT0ROC(fCountDet))); | |
3a0f6479 | 4219 | break; |
4220 | case 2: | |
64942b85 | 4221 | if( fCalROC ){ |
4222 | fCalROC->~AliTRDCalROC(); | |
4223 | new(fCalROC) AliTRDCalROC(*(cal->GetPRFROC(fCountDet))); | |
4224 | }else fCalROC = new AliTRDCalROC(*(cal->GetPRFROC(fCountDet))); | |
4225 | break; | |
3a0f6479 | 4226 | default: return; |
4227 | } | |
55a288e5 | 4228 | } |
3a0f6479 | 4229 | else{ |
4230 | switch (i) | |
4231 | { | |
4232 | case 0: | |
4233 | if(fCalROC) delete fCalROC; | |
053767a4 | 4234 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); |
3a0f6479 | 4235 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
4236 | fCalROC->SetValue(k,1.0); | |
4237 | } | |
4238 | break; | |
4239 | case 1: | |
4240 | if(fCalROC) delete fCalROC; | |
4241 | if(fCalROC2) delete fCalROC2; | |
053767a4 | 4242 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); |
4243 | fCalROC2 = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); | |
3a0f6479 | 4244 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
4245 | fCalROC->SetValue(k,1.0); | |
4246 | fCalROC2->SetValue(k,0.0); | |
4247 | } | |
4248 | break; | |
4249 | case 2: | |
4250 | if(fCalROC) delete fCalROC; | |
053767a4 | 4251 | value = GetPRFDefault(GetLayer(fCountDet)); |
4252 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); | |
3a0f6479 | 4253 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
4254 | fCalROC->SetValue(k,value); | |
4255 | } | |
4256 | break; | |
4257 | default: return; | |
4258 | } | |
55a288e5 | 4259 | } |
4260 | ||
4261 | } | |
55a288e5 | 4262 | //____________Fit Methods______________________________________________________ |
4263 | ||
4264 | //_____________________________________________________________________________ | |
3a0f6479 | 4265 | void AliTRDCalibraFit::FitPente(TH1* projPH) |
55a288e5 | 4266 | { |
4267 | // | |
4268 | // Slope methode for the drift velocity | |
4269 | // | |
4270 | ||
4271 | // Constants | |
4272 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 4273 | Int_t binmax = 0; |
4274 | Int_t binmin = 0; | |
4275 | fPhd[0] = 0.0; | |
4276 | fPhd[1] = 0.0; | |
4277 | fPhd[2] = 0.0; | |
4278 | Int_t ju = 0; | |
4279 | fCurrentCoefE = 0.0; | |
4280 | fCurrentCoefE2 = 0.0; | |
4281 | fCurrentCoef[0] = 0.0; | |
4282 | fCurrentCoef2[0] = 0.0; | |
4283 | TLine *line = new TLine(); | |
55a288e5 | 4284 | |
4285 | // Some variables | |
4286 | TAxis *xpph = projPH->GetXaxis(); | |
4287 | Int_t nbins = xpph->GetNbins(); | |
4288 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
4289 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
4290 | Double_t widbins = (upedge - lowedge) / nbins; | |
4291 | Double_t limit = upedge + 0.5 * widbins; | |
4292 | Bool_t put = kTRUE; | |
4293 | ||
4294 | // Beginning of the signal | |
4295 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
4296 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
4297 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4298 | } | |
55a288e5 | 4299 | binmax = (Int_t) pentea->GetMaximumBin(); |
55a288e5 | 4300 | if (binmax <= 1) { |
4301 | binmax = 2; | |
4302 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4303 | } | |
4304 | if (binmax >= nbins) { | |
4305 | binmax = nbins-1; | |
4306 | put = kFALSE; | |
4307 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
4308 | } | |
4309 | pentea->Fit("pol2","0MR","",TMath::Max(pentea->GetBinCenter(binmax-1),0.0),pentea->GetBinCenter(binmax+1)); | |
4310 | Float_t l3P1am = pentea->GetFunction("pol2")->GetParameter(1); | |
4311 | Float_t l3P2am = pentea->GetFunction("pol2")->GetParameter(2); | |
4312 | Float_t l3P1amE = pentea->GetFunction("pol2")->GetParError(1); | |
4313 | Float_t l3P2amE = pentea->GetFunction("pol2")->GetParError(2); | |
daa7dc79 | 4314 | if (TMath::Abs(l3P2am) > 0.00000001) { |
55a288e5 | 4315 | fPhd[0] = -(l3P1am / (2 * l3P2am)); |
4316 | } | |
4317 | if(!fTakeTheMaxPH){ | |
daa7dc79 | 4318 | if((TMath::Abs(l3P1am) > 0.0000000001) && (TMath::Abs(l3P2am) > 0.00000000001)){ |
3a0f6479 | 4319 | fCurrentCoefE2 = (l3P1amE/l3P1am + l3P2amE/l3P2am)*fPhd[0]; |
55a288e5 | 4320 | } |
4321 | } | |
55a288e5 | 4322 | // Amplification region |
4323 | binmax = 0; | |
4324 | ju = 0; | |
4325 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 4326 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 4327 | binmax = kbin; |
4328 | ju = 1; | |
4329 | } | |
4330 | } | |
55a288e5 | 4331 | if (binmax <= 1) { |
4332 | binmax = 2; | |
4333 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4334 | } | |
4335 | if (binmax >= nbins) { | |
4336 | binmax = nbins-1; | |
4337 | put = kFALSE; | |
4338 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
4339 | } | |
4340 | projPH->Fit("pol2","0MR","",TMath::Max(projPH->GetBinCenter(binmax-1),0.0),projPH->GetBinCenter(binmax+1)); | |
4341 | Float_t l3P1amf = projPH->GetFunction("pol2")->GetParameter(1); | |
4342 | Float_t l3P2amf = projPH->GetFunction("pol2")->GetParameter(2); | |
4343 | Float_t l3P1amfE = projPH->GetFunction("pol2")->GetParError(1); | |
4344 | Float_t l3P2amfE = projPH->GetFunction("pol2")->GetParError(2); | |
daa7dc79 | 4345 | if (TMath::Abs(l3P2amf) > 0.00000000001) { |
55a288e5 | 4346 | fPhd[1] = -(l3P1amf / (2 * l3P2amf)); |
4347 | } | |
daa7dc79 | 4348 | if((TMath::Abs(l3P1amf) > 0.0000000001) && (TMath::Abs(l3P2amf) > 0.000000001)){ |
3a0f6479 | 4349 | fCurrentCoefE = (l3P1amfE/l3P1amf + l3P2amfE/l3P2amf)*fPhd[1]; |
55a288e5 | 4350 | } |
4351 | if(fTakeTheMaxPH){ | |
3a0f6479 | 4352 | fCurrentCoefE2 = fCurrentCoefE; |
55a288e5 | 4353 | } |
55a288e5 | 4354 | // Drift region |
4355 | TH1D *pente = new TH1D("pente","pente",projPH->GetNbinsX(),0,(Float_t) limit); | |
4356 | for (Int_t k = TMath::Min(binmax+4,projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
4357 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4358 | } | |
4359 | binmin = 0; | |
4360 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
4361 | if (binmin <= 1) { | |
4362 | binmin = 2; | |
4363 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4364 | } | |
4365 | if (binmin >= nbins) { | |
4366 | binmin = nbins-1; | |
4367 | put = kFALSE; | |
4368 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
4369 | } | |
55a288e5 | 4370 | pente->Fit("pol2" |
4371 | ,"0MR" | |
4372 | ,"" | |
4373 | ,TMath::Max(pente->GetBinCenter(binmin-1), 0.0) | |
4374 | ,TMath::Min(pente->GetBinCenter(binmin+1),(Double_t) limit)); | |
4375 | Float_t l3P1dr = pente->GetFunction("pol2")->GetParameter(1); | |
4376 | Float_t l3P2dr = pente->GetFunction("pol2")->GetParameter(2); | |
4377 | Float_t l3P1drE = pente->GetFunction("pol2")->GetParError(1); | |
4378 | Float_t l3P2drE = pente->GetFunction("pol2")->GetParError(2); | |
daa7dc79 | 4379 | if (TMath::Abs(l3P2dr) > 0.00000001) { |
55a288e5 | 4380 | fPhd[2] = -(l3P1dr / (2 * l3P2dr)); |
4381 | } | |
daa7dc79 | 4382 | if((TMath::Abs(l3P1dr) > 0.0000000001) && (TMath::Abs(l3P2dr) > 0.00000000001)){ |
3a0f6479 | 4383 | fCurrentCoefE += (l3P1drE/l3P1dr + l3P2drE/l3P2dr)*fPhd[2]; |
55a288e5 | 4384 | } |
413153cb | 4385 | Float_t fPhdt0 = 0.0; |
4386 | Float_t t0Shift = 0.0; | |
4387 | if(fTakeTheMaxPH) { | |
4388 | fPhdt0 = fPhd[1]; | |
4389 | t0Shift = fT0Shift1; | |
4390 | } | |
4391 | else { | |
4392 | fPhdt0 = fPhd[0]; | |
4393 | t0Shift = fT0Shift0; | |
4394 | } | |
55a288e5 | 4395 | |
4396 | if ((fPhd[2] > fPhd[0]) && | |
4397 | (fPhd[2] > fPhd[1]) && | |
4398 | (fPhd[1] > fPhd[0]) && | |
4399 | (put)) { | |
3a0f6479 | 4400 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
4401 | fNumberFitSuccess++; | |
4402 | ||
55a288e5 | 4403 | if (fPhdt0 >= 0.0) { |
413153cb | 4404 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; |
3a0f6479 | 4405 | if (fCurrentCoef2[0] < -1.0) { |
64942b85 | 4406 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4407 | } |
4408 | } | |
4409 | else { | |
64942b85 | 4410 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4411 | } |
3a0f6479 | 4412 | |
55a288e5 | 4413 | } |
4414 | else { | |
3a0f6479 | 4415 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
64942b85 | 4416 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4417 | } |
4418 | ||
3a0f6479 | 4419 | if (fDebugLevel == 1) { |
55a288e5 | 4420 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
4421 | cpentei->cd(); | |
4422 | projPH->Draw(); | |
4423 | line->SetLineColor(2); | |
4424 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
4425 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
4426 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
4427 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
4428 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
4429 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 4430 | AliInfo(Form("fVriftCoef[1] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 4431 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
4432 | cpentei2->cd(); | |
4433 | pentea->Draw(); | |
4434 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
4435 | cpentei3->cd(); | |
4436 | pente->Draw(); | |
4437 | } | |
3a0f6479 | 4438 | else { |
55a288e5 | 4439 | delete pentea; |
55a288e5 | 4440 | delete pente; |
4441 | } | |
55a288e5 | 4442 | } |
55a288e5 | 4443 | //_____________________________________________________________________________ |
3a0f6479 | 4444 | void AliTRDCalibraFit::FitLagrangePoly(TH1* projPH) |
55a288e5 | 4445 | { |
4446 | // | |
4447 | // Slope methode but with polynomes de Lagrange | |
4448 | // | |
6aafa7ea | 4449 | |
55a288e5 | 4450 | // Constants |
4451 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 4452 | Int_t binmax = 0; |
4453 | Int_t binmin = 0; | |
fdc15553 | 4454 | //Double_t *x = new Double_t[5]; |
4455 | //Double_t *y = new Double_t[5]; | |
4456 | Double_t x[5]; | |
4457 | Double_t y[5]; | |
3a0f6479 | 4458 | x[0] = 0.0; |
4459 | x[1] = 0.0; | |
4460 | x[2] = 0.0; | |
4461 | x[3] = 0.0; | |
4462 | x[4] = 0.0; | |
4463 | y[0] = 0.0; | |
4464 | y[1] = 0.0; | |
4465 | y[2] = 0.0; | |
4466 | y[3] = 0.0; | |
4467 | y[4] = 0.0; | |
4468 | fPhd[0] = 0.0; | |
4469 | fPhd[1] = 0.0; | |
4470 | fPhd[2] = 0.0; | |
4471 | Int_t ju = 0; | |
4472 | fCurrentCoefE = 0.0; | |
4473 | fCurrentCoefE2 = 1.0; | |
4474 | fCurrentCoef[0] = 0.0; | |
4475 | fCurrentCoef2[0] = 0.0; | |
55a288e5 | 4476 | TLine *line = new TLine(); |
4477 | TF1 * polynome = 0x0; | |
4478 | TF1 * polynomea = 0x0; | |
4479 | TF1 * polynomeb = 0x0; | |
3b0c1edc | 4480 | Double_t c0 = 0.0; |
4481 | Double_t c1 = 0.0; | |
4482 | Double_t c2 = 0.0; | |
4483 | Double_t c3 = 0.0; | |
4484 | Double_t c4 = 0.0; | |
55a288e5 | 4485 | |
4486 | // Some variables | |
4487 | TAxis *xpph = projPH->GetXaxis(); | |
4488 | Int_t nbins = xpph->GetNbins(); | |
4489 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
4490 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
4491 | Double_t widbins = (upedge - lowedge) / nbins; | |
4492 | Double_t limit = upedge + 0.5 * widbins; | |
4493 | ||
4494 | ||
4495 | Bool_t put = kTRUE; | |
4496 | ||
4497 | // Beginning of the signal | |
4498 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
4499 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
4500 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4501 | } | |
4502 | ||
4503 | binmax = (Int_t) pentea->GetMaximumBin(); | |
55a288e5 | 4504 | |
4505 | Double_t minnn = 0.0; | |
4506 | Double_t maxxx = 0.0; | |
4507 | ||
3a0f6479 | 4508 | Int_t kase = nbins-binmax; |
4509 | ||
4510 | switch(kase) | |
4511 | { | |
4512 | case 0: | |
4513 | put = kFALSE; | |
4514 | break; | |
4515 | case 1: | |
4516 | minnn = pentea->GetBinCenter(binmax-2); | |
4517 | maxxx = pentea->GetBinCenter(binmax); | |
4518 | x[0] = pentea->GetBinCenter(binmax-2); | |
4519 | x[1] = pentea->GetBinCenter(binmax-1); | |
4520 | x[2] = pentea->GetBinCenter(binmax); | |
4521 | y[0] = pentea->GetBinContent(binmax-2); | |
4522 | y[1] = pentea->GetBinContent(binmax-1); | |
4523 | y[2] = pentea->GetBinContent(binmax); | |
3b0c1edc | 4524 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4525 | AliInfo("At the limit for beginning!"); |
4526 | break; | |
4527 | case 2: | |
4528 | minnn = pentea->GetBinCenter(binmax-2); | |
4529 | maxxx = pentea->GetBinCenter(binmax+1); | |
4530 | x[0] = pentea->GetBinCenter(binmax-2); | |
4531 | x[1] = pentea->GetBinCenter(binmax-1); | |
4532 | x[2] = pentea->GetBinCenter(binmax); | |
4533 | x[3] = pentea->GetBinCenter(binmax+1); | |
4534 | y[0] = pentea->GetBinContent(binmax-2); | |
4535 | y[1] = pentea->GetBinContent(binmax-1); | |
4536 | y[2] = pentea->GetBinContent(binmax); | |
4537 | y[3] = pentea->GetBinContent(binmax+1); | |
3b0c1edc | 4538 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4539 | break; |
4540 | default: | |
4541 | switch(binmax){ | |
4542 | case 0: | |
4543 | put = kFALSE; | |
4544 | break; | |
4545 | case 1: | |
4546 | minnn = pentea->GetBinCenter(binmax); | |
4547 | maxxx = pentea->GetBinCenter(binmax+2); | |
4548 | x[0] = pentea->GetBinCenter(binmax); | |
4549 | x[1] = pentea->GetBinCenter(binmax+1); | |
4550 | x[2] = pentea->GetBinCenter(binmax+2); | |
4551 | y[0] = pentea->GetBinContent(binmax); | |
4552 | y[1] = pentea->GetBinContent(binmax+1); | |
4553 | y[2] = pentea->GetBinContent(binmax+2); | |
3b0c1edc | 4554 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4555 | break; |
4556 | case 2: | |
4557 | minnn = pentea->GetBinCenter(binmax-1); | |
4558 | maxxx = pentea->GetBinCenter(binmax+2); | |
4559 | x[0] = pentea->GetBinCenter(binmax-1); | |
4560 | x[1] = pentea->GetBinCenter(binmax); | |
4561 | x[2] = pentea->GetBinCenter(binmax+1); | |
4562 | x[3] = pentea->GetBinCenter(binmax+2); | |
4563 | y[0] = pentea->GetBinContent(binmax-1); | |
4564 | y[1] = pentea->GetBinContent(binmax); | |
4565 | y[2] = pentea->GetBinContent(binmax+1); | |
4566 | y[3] = pentea->GetBinContent(binmax+2); | |
3b0c1edc | 4567 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4568 | break; |
4569 | default: | |
4570 | minnn = pentea->GetBinCenter(binmax-2); | |
4571 | maxxx = pentea->GetBinCenter(binmax+2); | |
4572 | x[0] = pentea->GetBinCenter(binmax-2); | |
4573 | x[1] = pentea->GetBinCenter(binmax-1); | |
4574 | x[2] = pentea->GetBinCenter(binmax); | |
4575 | x[3] = pentea->GetBinCenter(binmax+1); | |
4576 | x[4] = pentea->GetBinCenter(binmax+2); | |
4577 | y[0] = pentea->GetBinContent(binmax-2); | |
4578 | y[1] = pentea->GetBinContent(binmax-1); | |
4579 | y[2] = pentea->GetBinContent(binmax); | |
4580 | y[3] = pentea->GetBinContent(binmax+1); | |
4581 | y[4] = pentea->GetBinContent(binmax+2); | |
3b0c1edc | 4582 | CalculPolynomeLagrange4(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4583 | break; |
4584 | } | |
4585 | break; | |
55a288e5 | 4586 | } |
3a0f6479 | 4587 | |
4588 | ||
55a288e5 | 4589 | if(put) { |
4590 | polynomeb = new TF1("polb","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minnn,maxxx); | |
3b0c1edc | 4591 | polynomeb->SetParameters(c0,c1,c2,c3,c4); |
3a0f6479 | 4592 | |
55a288e5 | 4593 | Double_t step = (maxxx-minnn)/10000; |
4594 | Double_t l = minnn; | |
4595 | Double_t maxvalue = 0.0; | |
4596 | Double_t placemaximum = minnn; | |
4597 | for(Int_t o = 0; o < 10000; o++){ | |
4598 | if(o == 0) maxvalue = polynomeb->Eval(l); | |
4599 | if(maxvalue < (polynomeb->Eval(l))){ | |
4600 | maxvalue = polynomeb->Eval(l); | |
4601 | placemaximum = l; | |
4602 | } | |
4603 | l += step; | |
4604 | } | |
4605 | fPhd[0] = placemaximum; | |
4606 | } | |
55a288e5 | 4607 | |
4608 | // Amplification region | |
4609 | binmax = 0; | |
4610 | ju = 0; | |
4611 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 4612 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 4613 | binmax = kbin; |
4614 | ju = 1; | |
4615 | } | |
4616 | } | |
3a0f6479 | 4617 | |
55a288e5 | 4618 | Double_t minn = 0.0; |
4619 | Double_t maxx = 0.0; | |
3a0f6479 | 4620 | x[0] = 0.0; |
4621 | x[1] = 0.0; | |
4622 | x[2] = 0.0; | |
4623 | x[3] = 0.0; | |
4624 | x[4] = 0.0; | |
4625 | y[0] = 0.0; | |
4626 | y[1] = 0.0; | |
4627 | y[2] = 0.0; | |
4628 | y[3] = 0.0; | |
4629 | y[4] = 0.0; | |
4630 | ||
4631 | Int_t kase1 = nbins - binmax; | |
55a288e5 | 4632 | |
4633 | //Determination of minn and maxx | |
4634 | //case binmax = nbins | |
4635 | //pol2 | |
3a0f6479 | 4636 | switch(kase1) |
4637 | { | |
4638 | case 0: | |
4639 | minn = projPH->GetBinCenter(binmax-2); | |
4640 | maxx = projPH->GetBinCenter(binmax); | |
4641 | x[0] = projPH->GetBinCenter(binmax-2); | |
4642 | x[1] = projPH->GetBinCenter(binmax-1); | |
4643 | x[2] = projPH->GetBinCenter(binmax); | |
4644 | y[0] = projPH->GetBinContent(binmax-2); | |
4645 | y[1] = projPH->GetBinContent(binmax-1); | |
4646 | y[2] = projPH->GetBinContent(binmax); | |
3b0c1edc | 4647 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4648 | //AliInfo("At the limit for the drift!"); |
4649 | break; | |
4650 | case 1: | |
4651 | minn = projPH->GetBinCenter(binmax-2); | |
4652 | maxx = projPH->GetBinCenter(binmax+1); | |
4653 | x[0] = projPH->GetBinCenter(binmax-2); | |
4654 | x[1] = projPH->GetBinCenter(binmax-1); | |
4655 | x[2] = projPH->GetBinCenter(binmax); | |
4656 | x[3] = projPH->GetBinCenter(binmax+1); | |
4657 | y[0] = projPH->GetBinContent(binmax-2); | |
4658 | y[1] = projPH->GetBinContent(binmax-1); | |
4659 | y[2] = projPH->GetBinContent(binmax); | |
4660 | y[3] = projPH->GetBinContent(binmax+1); | |
3b0c1edc | 4661 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4662 | break; |
4663 | default: | |
4664 | switch(binmax) | |
4665 | { | |
4666 | case 0: | |
4667 | put = kFALSE; | |
4668 | break; | |
4669 | case 1: | |
4670 | minn = projPH->GetBinCenter(binmax); | |
4671 | maxx = projPH->GetBinCenter(binmax+2); | |
4672 | x[0] = projPH->GetBinCenter(binmax); | |
4673 | x[1] = projPH->GetBinCenter(binmax+1); | |
4674 | x[2] = projPH->GetBinCenter(binmax+2); | |
4675 | y[0] = projPH->GetBinContent(binmax); | |
4676 | y[1] = projPH->GetBinContent(binmax+1); | |
4677 | y[2] = projPH->GetBinContent(binmax+2); | |
3b0c1edc | 4678 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4679 | break; |
4680 | case 2: | |
4681 | minn = projPH->GetBinCenter(binmax-1); | |
4682 | maxx = projPH->GetBinCenter(binmax+2); | |
4683 | x[0] = projPH->GetBinCenter(binmax-1); | |
4684 | x[1] = projPH->GetBinCenter(binmax); | |
4685 | x[2] = projPH->GetBinCenter(binmax+1); | |
4686 | x[3] = projPH->GetBinCenter(binmax+2); | |
4687 | y[0] = projPH->GetBinContent(binmax-1); | |
4688 | y[1] = projPH->GetBinContent(binmax); | |
4689 | y[2] = projPH->GetBinContent(binmax+1); | |
4690 | y[3] = projPH->GetBinContent(binmax+2); | |
3b0c1edc | 4691 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4692 | break; |
4693 | default: | |
4694 | minn = projPH->GetBinCenter(binmax-2); | |
4695 | maxx = projPH->GetBinCenter(binmax+2); | |
4696 | x[0] = projPH->GetBinCenter(binmax-2); | |
4697 | x[1] = projPH->GetBinCenter(binmax-1); | |
4698 | x[2] = projPH->GetBinCenter(binmax); | |
4699 | x[3] = projPH->GetBinCenter(binmax+1); | |
4700 | x[4] = projPH->GetBinCenter(binmax+2); | |
4701 | y[0] = projPH->GetBinContent(binmax-2); | |
4702 | y[1] = projPH->GetBinContent(binmax-1); | |
4703 | y[2] = projPH->GetBinContent(binmax); | |
4704 | y[3] = projPH->GetBinContent(binmax+1); | |
4705 | y[4] = projPH->GetBinContent(binmax+2); | |
3b0c1edc | 4706 | CalculPolynomeLagrange4(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4707 | break; |
4708 | } | |
4709 | break; | |
55a288e5 | 4710 | } |
3a0f6479 | 4711 | |
55a288e5 | 4712 | if(put) { |
4713 | polynomea = new TF1("pola","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minn,maxx); | |
3b0c1edc | 4714 | polynomea->SetParameters(c0,c1,c2,c3,c4); |
3a0f6479 | 4715 | |
55a288e5 | 4716 | Double_t step = (maxx-minn)/1000; |
4717 | Double_t l = minn; | |
4718 | Double_t maxvalue = 0.0; | |
4719 | Double_t placemaximum = minn; | |
4720 | for(Int_t o = 0; o < 1000; o++){ | |
4721 | if(o == 0) maxvalue = polynomea->Eval(l); | |
4722 | if(maxvalue < (polynomea->Eval(l))){ | |
4723 | maxvalue = polynomea->Eval(l); | |
4724 | placemaximum = l; | |
4725 | } | |
4726 | l += step; | |
4727 | } | |
4728 | fPhd[1] = placemaximum; | |
4729 | } | |
4730 | ||
55a288e5 | 4731 | // Drift region |
4732 | TH1D *pente = new TH1D("pente","pente", projPH->GetNbinsX(),0,(Float_t) limit); | |
4733 | for (Int_t k = TMath::Min(binmax+4, projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
4734 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4735 | } | |
4736 | binmin = 0; | |
4737 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
4738 | ||
4739 | //should not happen | |
4740 | if (binmin <= 1) { | |
4741 | binmin = 2; | |
4742 | put = 1; | |
4743 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4744 | } | |
4745 | ||
4746 | //check | |
64942b85 | 4747 | if((projPH->GetBinContent(binmin)-projPH->GetBinError(binmin)) < (projPH->GetBinContent(binmin+1))) { |
4748 | AliInfo("Too many fluctuations at the end!"); | |
4749 | put = kFALSE; | |
4750 | } | |
4751 | if((projPH->GetBinContent(binmin)+projPH->GetBinError(binmin)) > (projPH->GetBinContent(binmin-1))) { | |
4752 | AliInfo("Too many fluctuations at the end!"); | |
4753 | put = kFALSE; | |
4754 | } | |
daa7dc79 | 4755 | if(TMath::Abs(pente->GetBinContent(binmin+1)) <= 0.0000000000001){ |
64942b85 | 4756 | AliInfo("No entries for the next bin!"); |
4757 | pente->SetBinContent(binmin,0); | |
4758 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
4759 | } | |
4760 | ||
3a0f6479 | 4761 | |
4762 | x[0] = 0.0; | |
4763 | x[1] = 0.0; | |
4764 | x[2] = 0.0; | |
4765 | x[3] = 0.0; | |
4766 | x[4] = 0.0; | |
4767 | y[0] = 0.0; | |
4768 | y[1] = 0.0; | |
4769 | y[2] = 0.0; | |
4770 | y[3] = 0.0; | |
4771 | y[4] = 0.0; | |
55a288e5 | 4772 | Double_t min = 0.0; |
4773 | Double_t max = 0.0; | |
4774 | Bool_t case1 = kFALSE; | |
4775 | Bool_t case2 = kFALSE; | |
4776 | Bool_t case4 = kFALSE; | |
4777 | ||
4778 | //Determination of min and max | |
4779 | //case binmin <= nbins-3 | |
4780 | //pol4 case 3 | |
4781 | if((binmin <= (nbins-3)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4782 | min = pente->GetBinCenter(binmin-2); | |
4783 | max = pente->GetBinCenter(binmin+2); | |
4784 | x[0] = pente->GetBinCenter(binmin-2); | |
4785 | x[1] = pente->GetBinCenter(binmin-1); | |
4786 | x[2] = pente->GetBinCenter(binmin); | |
4787 | x[3] = pente->GetBinCenter(binmin+1); | |
4788 | x[4] = pente->GetBinCenter(binmin+2); | |
4789 | y[0] = pente->GetBinContent(binmin-2); | |
4790 | y[1] = pente->GetBinContent(binmin-1); | |
4791 | y[2] = pente->GetBinContent(binmin); | |
4792 | y[3] = pente->GetBinContent(binmin+1); | |
4793 | y[4] = pente->GetBinContent(binmin+2); | |
4794 | //Calcul the polynome de Lagrange | |
3b0c1edc | 4795 | CalculPolynomeLagrange4(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 4796 | //richtung +/- |
4797 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && | |
64942b85 | 4798 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4799 | //AliInfo("polynome 4 false 1"); | |
4800 | put = kFALSE; | |
4801 | } | |
55a288e5 | 4802 | if(((binmin+3) <= (nbins-1)) && |
4803 | (pente->GetBinContent(binmin+3) <= pente->GetBinContent(binmin+2)) && | |
4804 | ((binmin-3) >= TMath::Min(binmax+4, projPH->GetNbinsX())) && | |
64942b85 | 4805 | (pente->GetBinContent(binmin-3) <= pente->GetBinContent(binmin-2))) { |
4806 | AliInfo("polynome 4 false 2"); | |
4807 | put = kFALSE; | |
4808 | } | |
4809 | // poly 3 | |
55a288e5 | 4810 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && |
64942b85 | 4811 | (pente->GetBinContent(binmin-2) > pente->GetBinContent(binmin-1))) { |
4812 | //AliInfo("polynome 4 case 1"); | |
4813 | case1 = kTRUE; | |
4814 | } | |
55a288e5 | 4815 | if((pente->GetBinContent(binmin+2) > pente->GetBinContent(binmin+1)) && |
64942b85 | 4816 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4817 | //AliInfo("polynome 4 case 4"); | |
4818 | case4 = kTRUE; | |
4819 | } | |
4820 | ||
55a288e5 | 4821 | } |
4822 | //case binmin = nbins-2 | |
4823 | //pol3 case 1 | |
4824 | if(((binmin == (nbins-2)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
4825 | (case1)){ | |
4826 | min = pente->GetBinCenter(binmin-2); | |
4827 | max = pente->GetBinCenter(binmin+1); | |
4828 | x[0] = pente->GetBinCenter(binmin-2); | |
4829 | x[1] = pente->GetBinCenter(binmin-1); | |
4830 | x[2] = pente->GetBinCenter(binmin); | |
4831 | x[3] = pente->GetBinCenter(binmin+1); | |
4832 | y[0] = pente->GetBinContent(binmin-2); | |
4833 | y[1] = pente->GetBinContent(binmin-1); | |
4834 | y[2] = pente->GetBinContent(binmin); | |
4835 | y[3] = pente->GetBinContent(binmin+1); | |
4836 | //Calcul the polynome de Lagrange | |
3b0c1edc | 4837 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 4838 | //richtung +: nothing |
4839 | //richtung - | |
64942b85 | 4840 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4841 | //AliInfo("polynome 3- case 2"); | |
4842 | case2 = kTRUE; | |
4843 | } | |
55a288e5 | 4844 | } |
4845 | //pol3 case 4 | |
4846 | if(((binmin <= (nbins-3)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
4847 | (case4)){ | |
4848 | min = pente->GetBinCenter(binmin-1); | |
4849 | max = pente->GetBinCenter(binmin+2); | |
4850 | x[0] = pente->GetBinCenter(binmin-1); | |
4851 | x[1] = pente->GetBinCenter(binmin); | |
4852 | x[2] = pente->GetBinCenter(binmin+1); | |
4853 | x[3] = pente->GetBinCenter(binmin+2); | |
4854 | y[0] = pente->GetBinContent(binmin-1); | |
4855 | y[1] = pente->GetBinContent(binmin); | |
4856 | y[2] = pente->GetBinContent(binmin+1); | |
4857 | y[3] = pente->GetBinContent(binmin+2); | |
4858 | //Calcul the polynome de Lagrange | |
3b0c1edc | 4859 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 4860 | //richtung + |
64942b85 | 4861 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) { |
4862 | //AliInfo("polynome 3+ case 2"); | |
4863 | case2 = kTRUE; | |
4864 | } | |
55a288e5 | 4865 | } |
4866 | //pol2 case 5 | |
4867 | if((binmin <= (nbins-3)) && (binmin == TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4868 | min = pente->GetBinCenter(binmin); | |
4869 | max = pente->GetBinCenter(binmin+2); | |
4870 | x[0] = pente->GetBinCenter(binmin); | |
4871 | x[1] = pente->GetBinCenter(binmin+1); | |
4872 | x[2] = pente->GetBinCenter(binmin+2); | |
4873 | y[0] = pente->GetBinContent(binmin); | |
4874 | y[1] = pente->GetBinContent(binmin+1); | |
4875 | y[2] = pente->GetBinContent(binmin+2); | |
4876 | //Calcul the polynome de Lagrange | |
3b0c1edc | 4877 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 4878 | //richtung + |
64942b85 | 4879 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) { |
4880 | //AliInfo("polynome 2+ false"); | |
4881 | put = kFALSE; | |
4882 | } | |
55a288e5 | 4883 | } |
4884 | //pol2 case 2 | |
4885 | if(((binmin == (nbins-2)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
4886 | (case2)){ | |
4887 | min = pente->GetBinCenter(binmin-1); | |
4888 | max = pente->GetBinCenter(binmin+1); | |
4889 | x[0] = pente->GetBinCenter(binmin-1); | |
4890 | x[1] = pente->GetBinCenter(binmin); | |
4891 | x[2] = pente->GetBinCenter(binmin+1); | |
4892 | y[0] = pente->GetBinContent(binmin-1); | |
4893 | y[1] = pente->GetBinContent(binmin); | |
4894 | y[2] = pente->GetBinContent(binmin+1); | |
4895 | //Calcul the polynome de Lagrange | |
3b0c1edc | 4896 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 4897 | //richtung +: nothing |
4898 | //richtung -: nothing | |
4899 | } | |
4900 | //case binmin = nbins-1 | |
4901 | //pol2 case 0 | |
4902 | if((binmin == (nbins-1)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4903 | min = pente->GetBinCenter(binmin-2); | |
4904 | max = pente->GetBinCenter(binmin); | |
4905 | x[0] = pente->GetBinCenter(binmin-2); | |
4906 | x[1] = pente->GetBinCenter(binmin-1); | |
4907 | x[2] = pente->GetBinCenter(binmin); | |
4908 | y[0] = pente->GetBinContent(binmin-2); | |
4909 | y[1] = pente->GetBinContent(binmin-1); | |
4910 | y[2] = pente->GetBinContent(binmin); | |
4911 | //Calcul the polynome de Lagrange | |
3b0c1edc | 4912 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4913 | //AliInfo("At the limit for the drift!"); |
55a288e5 | 4914 | //fluctuation too big! |
4915 | //richtung +: nothing | |
4916 | //richtung - | |
64942b85 | 4917 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4918 | //AliInfo("polynome 2- false "); | |
4919 | put = kFALSE; | |
4920 | } | |
55a288e5 | 4921 | } |
4922 | if((binmin == (nbins-1)) && ((binmin-2) < TMath::Min(binmax+4, projPH->GetNbinsX()))) { | |
4923 | put = kFALSE; | |
4924 | AliInfo("At the limit for the drift and not usable!"); | |
4925 | } | |
4926 | ||
4927 | //pass | |
4928 | if((binmin == (nbins-2)) && ((binmin-1) < TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4929 | put = kFALSE; | |
4930 | AliInfo("For the drift...problem!"); | |
4931 | } | |
55a288e5 | 4932 | //pass but should not happen |
64942b85 | 4933 | if((binmin <= (nbins-3)) && (binmin < TMath::Min(binmax+6, projPH->GetNbinsX()))){ |
55a288e5 | 4934 | put = kFALSE; |
4935 | AliInfo("For the drift...problem!"); | |
4936 | } | |
3a0f6479 | 4937 | |
55a288e5 | 4938 | if(put) { |
4939 | polynome = new TF1("pol","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",min,max); | |
3b0c1edc | 4940 | polynome->SetParameters(c0,c1,c2,c3,c4); |
55a288e5 | 4941 | //AliInfo(Form("GetMinimum of the function %f",polynome->GetMinimumX())); |
4942 | Double_t step = (max-min)/1000; | |
4943 | Double_t l = min; | |
4944 | Double_t minvalue = 0.0; | |
4945 | Double_t placeminimum = min; | |
4946 | for(Int_t o = 0; o < 1000; o++){ | |
4947 | if(o == 0) minvalue = polynome->Eval(l); | |
4948 | if(minvalue > (polynome->Eval(l))){ | |
4949 | minvalue = polynome->Eval(l); | |
4950 | placeminimum = l; | |
4951 | } | |
4952 | l += step; | |
4953 | } | |
4954 | fPhd[2] = placeminimum; | |
4955 | } | |
64942b85 | 4956 | //printf("La fin %d\n",((Int_t)(fPhd[2]*10.0))+2); |
4957 | if((((Int_t)(fPhd[2]*10.0))+2) >= projPH->GetNbinsX()) fPhd[2] = 0.0; | |
4958 | 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 | 4959 | |
413153cb | 4960 | Float_t fPhdt0 = 0.0; |
4961 | Float_t t0Shift = 0.0; | |
4962 | if(fTakeTheMaxPH) { | |
4963 | fPhdt0 = fPhd[1]; | |
4964 | t0Shift = fT0Shift1; | |
4965 | } | |
4966 | else { | |
4967 | fPhdt0 = fPhd[0]; | |
4968 | t0Shift = fT0Shift0; | |
4969 | } | |
55a288e5 | 4970 | |
4971 | if ((fPhd[2] > fPhd[0]) && | |
4972 | (fPhd[2] > fPhd[1]) && | |
4973 | (fPhd[1] > fPhd[0]) && | |
4974 | (put)) { | |
3a0f6479 | 4975 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
6210514c | 4976 | if(fCurrentCoef[0] > 2.5) fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
6aafa7ea | 4977 | else fNumberFitSuccess++; |
55a288e5 | 4978 | if (fPhdt0 >= 0.0) { |
413153cb | 4979 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; |
3a0f6479 | 4980 | if (fCurrentCoef2[0] < -1.0) { |
64942b85 | 4981 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4982 | } |
4983 | } | |
4984 | else { | |
64942b85 | 4985 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4986 | } |
4987 | } | |
4988 | else { | |
6210514c | 4989 | //printf("Put default %f\n",-TMath::Abs(fCurrentCoef[1])); |
4990 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4991 | ||
64942b85 | 4992 | if((fPhd[1] > fPhd[0]) && |
4993 | (put)) { | |
4994 | if (fPhdt0 >= 0.0) { | |
4995 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; | |
4996 | if (fCurrentCoef2[0] < -1.0) { | |
4997 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
4998 | } | |
4999 | } | |
5000 | else { | |
5001 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
5002 | } | |
5003 | } | |
5004 | else{ | |
64942b85 | 5005 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
5006 | //printf("Fit failed!\n"); | |
5007 | } | |
55a288e5 | 5008 | } |
5009 | ||
3a0f6479 | 5010 | if (fDebugLevel == 1) { |
55a288e5 | 5011 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
5012 | cpentei->cd(); | |
5013 | projPH->Draw(); | |
5014 | line->SetLineColor(2); | |
5015 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
5016 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
5017 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
5018 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
5019 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
5020 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 5021 | AliInfo(Form("fVriftCoef[3] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 5022 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
5023 | cpentei2->cd(); | |
5024 | pentea->Draw(); | |
5025 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
5026 | cpentei3->cd(); | |
5027 | pente->Draw(); | |
5028 | } | |
3a0f6479 | 5029 | else { |
a987273c | 5030 | delete pentea; |
5031 | delete pente; | |
1ca79a00 | 5032 | if(polynome) delete polynome; |
5033 | if(polynomea) delete polynomea; | |
5034 | if(polynomeb) delete polynomeb; | |
fdc15553 | 5035 | //if(x) delete [] x; |
5036 | //if(y) delete [] y; | |
1ca79a00 | 5037 | if(line) delete line; |
5038 | ||
55a288e5 | 5039 | } |
64942b85 | 5040 | |
5041 | //Provisoire | |
5042 | //if(fCurrentCoef[0] > 1.7) fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5043 | //if((fCurrentCoef2[0] > 2.6) || (fCurrentCoef2[0] < 2.1)) fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
3a0f6479 | 5044 | |
55a288e5 | 5045 | projPH->SetDirectory(0); |
5046 | ||
5047 | } | |
5048 | ||
5049 | //_____________________________________________________________________________ | |
5050 | void AliTRDCalibraFit::FitPH(TH1* projPH, Int_t idect) | |
5051 | { | |
5052 | // | |
5053 | // Fit methode for the drift velocity | |
5054 | // | |
5055 | ||
5056 | // Constants | |
5057 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
5058 | ||
5059 | // Some variables | |
5060 | TAxis *xpph = projPH->GetXaxis(); | |
5061 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
5062 | ||
5063 | TF1 *fPH = new TF1("fPH",AliTRDCalibraFit::PH,-0.05,3.2,6); | |
5064 | fPH->SetParameter(0,0.469); // Scaling | |
5065 | fPH->SetParameter(1,0.18); // Start | |
5066 | fPH->SetParameter(2,0.0857325); // AR | |
5067 | fPH->SetParameter(3,1.89); // DR | |
5068 | fPH->SetParameter(4,0.08); // QA/QD | |
5069 | fPH->SetParameter(5,0.0); // Baseline | |
5070 | ||
5071 | TLine *line = new TLine(); | |
5072 | ||
3a0f6479 | 5073 | fCurrentCoef[0] = 0.0; |
5074 | fCurrentCoef2[0] = 0.0; | |
5075 | fCurrentCoefE = 0.0; | |
5076 | fCurrentCoefE2 = 0.0; | |
55a288e5 | 5077 | |
5078 | if (idect%fFitPHPeriode == 0) { | |
5079 | ||
3a0f6479 | 5080 | AliInfo(Form("The detector %d will be fitted",idect)); |
55a288e5 | 5081 | fPH->SetParameter(0,(projPH->Integral()-(projPH->GetBinContent(1)*projPH->GetNbinsX())) * 0.00028); // Scaling |
5082 | fPH->SetParameter(1,fPhd[0] - 0.1); // Start | |
5083 | fPH->SetParameter(2,fPhd[1] - fPhd[0]); // AR | |
5084 | fPH->SetParameter(3,fPhd[2] - fPhd[1]); // DR | |
5085 | fPH->SetParameter(4,0.225); // QA/QD | |
5086 | fPH->SetParameter(5,(Float_t) projPH->GetBinContent(1)); | |
5087 | ||
3a0f6479 | 5088 | if (fDebugLevel != 1) { |
55a288e5 | 5089 | projPH->Fit(fPH,"0M","",0.0,upedge); |
5090 | } | |
3a0f6479 | 5091 | else { |
55a288e5 | 5092 | TCanvas *cpente = new TCanvas("cpente","cpente",50,50,600,800); |
5093 | cpente->cd(); | |
5094 | projPH->Fit(fPH,"M+","",0.0,upedge); | |
5095 | projPH->Draw("E0"); | |
5096 | line->SetLineColor(4); | |
5097 | line->DrawLine(fPH->GetParameter(1) | |
5098 | ,0 | |
5099 | ,fPH->GetParameter(1) | |
5100 | ,projPH->GetMaximum()); | |
5101 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2) | |
5102 | ,0 | |
5103 | ,fPH->GetParameter(1)+fPH->GetParameter(2) | |
5104 | ,projPH->GetMaximum()); | |
5105 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
5106 | ,0 | |
5107 | ,fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
5108 | ,projPH->GetMaximum()); | |
5109 | } | |
5110 | ||
5111 | if (fPH->GetParameter(3) != 0) { | |
3a0f6479 | 5112 | fNumberFitSuccess++; |
5113 | fCurrentCoef[0] = kDrWidth / (fPH->GetParameter(3)); | |
5114 | fCurrentCoefE = (fPH->GetParError(3)/fPH->GetParameter(3))*fCurrentCoef[0]; | |
5115 | fCurrentCoef2[0] = fPH->GetParameter(1); | |
5116 | fCurrentCoefE2 = fPH->GetParError(1); | |
55a288e5 | 5117 | } |
5118 | else { | |
3a0f6479 | 5119 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
64942b85 | 5120 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 5121 | } |
3a0f6479 | 5122 | |
55a288e5 | 5123 | } |
55a288e5 | 5124 | else { |
5125 | ||
3a0f6479 | 5126 | // Put the default value |
5127 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
64942b85 | 5128 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 5129 | } |
5130 | ||
3a0f6479 | 5131 | if (fDebugLevel != 1) { |
55a288e5 | 5132 | delete fPH; |
5133 | } | |
5134 | ||
5135 | } | |
55a288e5 | 5136 | //_____________________________________________________________________________ |
3a0f6479 | 5137 | Bool_t AliTRDCalibraFit::FitPRFGausMI(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nBins, Float_t xMin, Float_t xMax) |
55a288e5 | 5138 | { |
5139 | // | |
5140 | // Fit methode for the sigma of the pad response function | |
5141 | // | |
3a0f6479 | 5142 | |
5143 | TVectorD param(3); | |
55a288e5 | 5144 | |
3a0f6479 | 5145 | fCurrentCoef[0] = 0.0; |
5146 | fCurrentCoefE = 0.0; | |
5147 | ||
5148 | Double_t ret = FitGausMI(arraye, arraym, arrayme, nBins, xMin, xMax,¶m); | |
5149 | ||
daa7dc79 | 5150 | if(TMath::Abs(ret+4) <= 0.000000001){ |
3a0f6479 | 5151 | fCurrentCoef[0] = -fCurrentCoef[1]; |
5152 | return kFALSE; | |
5153 | } | |
5154 | else { | |
5155 | fNumberFitSuccess++; | |
5156 | fCurrentCoef[0] = param[2]; | |
5157 | fCurrentCoefE = ret; | |
5158 | return kTRUE; | |
5159 | } | |
5160 | } | |
5161 | //_____________________________________________________________________________ | |
7bce990c | 5162 | 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 | 5163 | { |
5164 | // | |
5165 | // Fit methode for the sigma of the pad response function | |
5166 | // | |
5167 | ||
5168 | //We should have at least 3 points | |
5169 | if(nBins <=3) return -4.0; | |
5170 | ||
5171 | TLinearFitter fitter(3,"pol2"); | |
5172 | fitter.StoreData(kFALSE); | |
5173 | fitter.ClearPoints(); | |
5174 | TVectorD par(3); | |
5175 | Float_t binWidth = (xMax-xMin)/(Float_t)nBins; | |
5176 | Float_t entries = 0; | |
5177 | Int_t nbbinwithentries = 0; | |
5178 | for (Int_t i=0; i<nBins; i++){ | |
5179 | entries+=arraye[i]; | |
5180 | if(arraye[i] > 15) nbbinwithentries++; | |
5181 | //printf("entries for i %d: %f\n",i,arraye[i]); | |
5182 | } | |
5183 | if ((entries<700) || (nbbinwithentries < ((Int_t)(nBins/2)))) return -4; | |
5184 | //printf("entries %f\n",entries); | |
5185 | //printf("nbbinwithentries %d\n",nbbinwithentries); | |
5186 | ||
5187 | Int_t npoints=0; | |
5188 | Float_t errorm = 0.0; | |
5189 | Float_t errorn = 0.0; | |
5190 | Float_t error = 0.0; | |
5191 | ||
5192 | // | |
5193 | for (Int_t ibin=0;ibin<nBins; ibin++){ | |
5194 | Float_t entriesI = arraye[ibin]; | |
5195 | Float_t valueI = arraym[ibin]; | |
5196 | Double_t xcenter = 0.0; | |
5197 | Float_t val = 0.0; | |
5198 | if ((entriesI>15) && (valueI>0.0)){ | |
5199 | xcenter = xMin+(ibin+0.5)*binWidth; | |
5200 | errorm = 0.0; | |
5201 | errorn = 0.0; | |
5202 | error = 0.0; | |
7bce990c | 5203 | if(!bError){ |
3a0f6479 | 5204 | if((valueI + 0.01) > 0.0) errorm = TMath::Log((valueI + 0.01)/valueI); |
5205 | if((valueI - 0.01) > 0.0) errorn = TMath::Log((valueI - 0.01)/valueI); | |
5206 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
5207 | } | |
5208 | else{ | |
5209 | if((valueI + arrayme[ibin]) > 0.0) errorm = TMath::Log((valueI + arrayme[ibin])/valueI); | |
5210 | if((valueI - arrayme[ibin]) > 0.0) errorn = TMath::Log((valueI - arrayme[ibin])/valueI); | |
5211 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
5212 | } | |
daa7dc79 | 5213 | if(TMath::Abs(error) < 0.000000001) continue; |
3a0f6479 | 5214 | val = TMath::Log(Float_t(valueI)); |
5215 | fitter.AddPoint(&xcenter,val,error); | |
5216 | npoints++; | |
5217 | } | |
5218 | ||
5219 | if(fDebugLevel > 1){ | |
55a288e5 | 5220 | |
3a0f6479 | 5221 | if ( !fDebugStreamer ) { |
5222 | //debug stream | |
5223 | TDirectory *backup = gDirectory; | |
4aad967c | 5224 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5225 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5226 | } | |
5227 | ||
5228 | Int_t detector = fCountDet; | |
053767a4 | 5229 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5230 | Int_t group = ibin; |
5231 | ||
5232 | (* fDebugStreamer) << "FitGausMIFill"<< | |
5233 | "detector="<<detector<< | |
053767a4 | 5234 | "layer="<<layer<< |
3a0f6479 | 5235 | "nbins="<<nBins<< |
5236 | "group="<<group<< | |
5237 | "entriesI="<<entriesI<< | |
5238 | "valueI="<<valueI<< | |
5239 | "val="<<val<< | |
5240 | "xcenter="<<xcenter<< | |
5241 | "errorm="<<errorm<< | |
5242 | "errorn="<<errorn<< | |
5243 | "error="<<error<< | |
7bce990c | 5244 | "bError="<<bError<< |
3a0f6479 | 5245 | "\n"; |
5246 | } | |
5247 | ||
5248 | } | |
5249 | ||
5250 | if(npoints <=3) return -4.0; | |
5251 | ||
5252 | Double_t chi2 = 0; | |
5253 | if (npoints>3){ | |
5254 | fitter.Eval(); | |
5255 | fitter.GetParameters(par); | |
5256 | chi2 = fitter.GetChisquare()/Float_t(npoints); | |
55a288e5 | 5257 | |
3a0f6479 | 5258 | |
5259 | if (!param) param = new TVectorD(3); | |
daa7dc79 | 5260 | if(TMath::Abs(par[2]) <= 0.000000001) return -4.0; |
3a0f6479 | 5261 | Double_t x = TMath::Sqrt(TMath::Abs(-2*par[2])); |
5262 | Double_t deltax = (fitter.GetParError(2))/x; | |
5263 | Double_t errorparam2 = TMath::Abs(deltax)/(x*x); | |
5264 | chi2 = errorparam2; | |
55a288e5 | 5265 | |
3a0f6479 | 5266 | (*param)[1] = par[1]/(-2.*par[2]); |
5267 | (*param)[2] = 1./TMath::Sqrt(TMath::Abs(-2.*par[2])); | |
5268 | Double_t lnparam0 = par[0]+ par[1]* (*param)[1] + par[2]*(*param)[1]*(*param)[1]; | |
5269 | if ( lnparam0>307 ) return -4; | |
5270 | (*param)[0] = TMath::Exp(lnparam0); | |
5271 | ||
5272 | if(fDebugLevel > 1){ | |
5273 | ||
5274 | if ( !fDebugStreamer ) { | |
5275 | //debug stream | |
5276 | TDirectory *backup = gDirectory; | |
4aad967c | 5277 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5278 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5279 | } | |
5280 | ||
5281 | Int_t detector = fCountDet; | |
053767a4 | 5282 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5283 | |
5284 | ||
5285 | (* fDebugStreamer) << "FitGausMIFit"<< | |
5286 | "detector="<<detector<< | |
053767a4 | 5287 | "layer="<<layer<< |
3a0f6479 | 5288 | "nbins="<<nBins<< |
5289 | "errorsigma="<<chi2<< | |
5290 | "mean="<<(*param)[1]<< | |
5291 | "sigma="<<(*param)[2]<< | |
5292 | "constant="<<(*param)[0]<< | |
5293 | "\n"; | |
5294 | } | |
5295 | } | |
5296 | ||
5297 | if((chi2/(*param)[2]) > 0.1){ | |
7bce990c | 5298 | if(bError){ |
3a0f6479 | 5299 | chi2 = FitGausMI(arraye,arraym,arrayme,nBins,xMin,xMax,param,kFALSE); |
5300 | } | |
5301 | else return -4.0; | |
55a288e5 | 5302 | } |
3a0f6479 | 5303 | |
5304 | if(fDebugLevel == 1){ | |
5305 | TString name("PRF"); | |
5306 | name += (Int_t)xMin; | |
5307 | name += (Int_t)xMax; | |
5308 | TCanvas *c1 = new TCanvas((const char *)name,(const char *)name,50,50,600,800); | |
5309 | c1->cd(); | |
5310 | name += "histo"; | |
5311 | TH1F *histo = new TH1F((const char *)name,(const char *)name,nBins,xMin,xMax); | |
5312 | for(Int_t k = 0; k < nBins; k++){ | |
5313 | histo->SetBinContent(k+1,arraym[k]); | |
5314 | histo->SetBinError(k+1,arrayme[k]); | |
5315 | } | |
5316 | histo->Draw(); | |
5317 | name += "functionf"; | |
5318 | TF1 *f1= new TF1((const char*)name,"[0]*exp(-(x-[1])^2/(2*[2]*[2]))",xMin,xMax); | |
5319 | f1->SetParameter(0, (*param)[0]); | |
5320 | f1->SetParameter(1, (*param)[1]); | |
5321 | f1->SetParameter(2, (*param)[2]); | |
5322 | f1->Draw("same"); | |
5323 | } | |
5324 | ||
5325 | ||
5326 | return chi2; | |
5327 | ||
5328 | } | |
5329 | //_____________________________________________________________________________ | |
5330 | void AliTRDCalibraFit::FitPRF(TH1 *projPRF) | |
5331 | { | |
5332 | // | |
5333 | // Fit methode for the sigma of the pad response function | |
5334 | // | |
55a288e5 | 5335 | |
3a0f6479 | 5336 | fCurrentCoef[0] = 0.0; |
5337 | fCurrentCoefE = 0.0; | |
5338 | ||
5339 | if (fDebugLevel != 1) { | |
5340 | projPRF->Fit("gaus","0M","",-fRangeFitPRF,fRangeFitPRF); | |
5341 | } | |
5342 | else { | |
55a288e5 | 5343 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); |
5344 | cfit->cd(); | |
5345 | projPRF->Fit("gaus","M+","",-fRangeFitPRF,fRangeFitPRF); | |
5346 | projPRF->Draw(); | |
55a288e5 | 5347 | } |
3a0f6479 | 5348 | fCurrentCoef[0] = projPRF->GetFunction("gaus")->GetParameter(2); |
5349 | fCurrentCoefE = projPRF->GetFunction("gaus")->GetParError(2); | |
5350 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
55a288e5 | 5351 | else { |
3a0f6479 | 5352 | fNumberFitSuccess++; |
55a288e5 | 5353 | } |
3a0f6479 | 5354 | } |
5355 | //_____________________________________________________________________________ | |
5356 | void AliTRDCalibraFit::RmsPRF(TH1 *projPRF) | |
5357 | { | |
5358 | // | |
5359 | // Fit methode for the sigma of the pad response function | |
5360 | // | |
5361 | fCurrentCoef[0] = 0.0; | |
5362 | fCurrentCoefE = 0.0; | |
5363 | if (fDebugLevel == 1) { | |
5364 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); | |
5365 | cfit->cd(); | |
5366 | projPRF->Draw(); | |
55a288e5 | 5367 | } |
3a0f6479 | 5368 | fCurrentCoef[0] = projPRF->GetRMS(); |
5369 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
5370 | else { | |
5371 | fNumberFitSuccess++; | |
55a288e5 | 5372 | } |
55a288e5 | 5373 | } |
55a288e5 | 5374 | //_____________________________________________________________________________ |
3a0f6479 | 5375 | void AliTRDCalibraFit::FitTnpRange(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nbg, Int_t nybins) |
55a288e5 | 5376 | { |
5377 | // | |
3a0f6479 | 5378 | // Fit methode for the sigma of the pad response function with 2*nbg tan bins |
55a288e5 | 5379 | // |
5380 | ||
3a0f6479 | 5381 | TLinearFitter linearfitter = TLinearFitter(3,"pol2"); |
55a288e5 | 5382 | |
55a288e5 | 5383 | |
3a0f6479 | 5384 | Int_t nbins = (Int_t)(nybins/(2*nbg)); |
5385 | Float_t lowedge = -3.0*nbg; | |
5386 | Float_t upedge = lowedge + 3.0; | |
5387 | Int_t offset = 0; | |
5388 | Int_t npoints = 0; | |
5389 | Double_t xvalues = -0.2*nbg+0.1; | |
5390 | Double_t y = 0.0; | |
5391 | Int_t total = 2*nbg; | |
55a288e5 | 5392 | |
3a0f6479 | 5393 | |
5394 | for(Int_t k = 0; k < total; k++){ | |
5395 | if(FitPRFGausMI(arraye+offset, arraym+offset, arrayme+offset, nbins, lowedge, upedge)){ | |
5396 | npoints++; | |
5397 | y = fCurrentCoef[0]*fCurrentCoef[0]; | |
5398 | linearfitter.AddPoint(&xvalues,y,2*fCurrentCoefE*fCurrentCoef[0]); | |
5399 | } | |
5400 | ||
5401 | if(fDebugLevel > 1){ | |
5402 | ||
5403 | if ( !fDebugStreamer ) { | |
5404 | //debug stream | |
5405 | TDirectory *backup = gDirectory; | |
4aad967c | 5406 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5407 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5408 | } | |
5409 | ||
5410 | Int_t detector = fCountDet; | |
053767a4 | 5411 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5412 | Int_t nbtotal = total; |
5413 | Int_t group = k; | |
5414 | Float_t low = lowedge; | |
5415 | Float_t up = upedge; | |
5416 | Float_t tnp = xvalues; | |
5417 | Float_t wid = fCurrentCoef[0]; | |
5418 | Float_t widfE = fCurrentCoefE; | |
5419 | ||
413153cb | 5420 | (* fDebugStreamer) << "FitTnpRange0"<< |
3a0f6479 | 5421 | "detector="<<detector<< |
053767a4 | 5422 | "layer="<<layer<< |
3a0f6479 | 5423 | "nbtotal="<<nbtotal<< |
5424 | "group="<<group<< | |
5425 | "low="<<low<< | |
5426 | "up="<<up<< | |
5427 | "offset="<<offset<< | |
5428 | "tnp="<<tnp<< | |
5429 | "wid="<<wid<< | |
5430 | "widfE="<<widfE<< | |
5431 | "\n"; | |
5432 | } | |
5433 | ||
5434 | offset += nbins; | |
5435 | lowedge += 3.0; | |
5436 | upedge += 3.0; | |
5437 | xvalues += 0.2; | |
5438 | ||
5439 | } | |
5440 | ||
5441 | fCurrentCoefE = 0.0; | |
5442 | fCurrentCoef[0] = 0.0; | |
5443 | ||
5444 | //printf("npoints\n",npoints); | |
5445 | ||
5446 | if(npoints < 3){ | |
5447 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5448 | } | |
5449 | else{ | |
5450 | ||
5451 | TVectorD pars0; | |
5452 | linearfitter.Eval(); | |
5453 | linearfitter.GetParameters(pars0); | |
5454 | Double_t pointError0 = TMath::Sqrt(linearfitter.GetChisquare()/npoints); | |
5455 | Double_t errorsx0 = linearfitter.GetParError(2)*pointError0; | |
5456 | Double_t min0 = 0.0; | |
5457 | Double_t ermin0 = 0.0; | |
5458 | //Double_t prfe0 = 0.0; | |
5459 | Double_t prf0 = 0.0; | |
daa7dc79 | 5460 | if((pars0[2] > 0.000000000001) && (TMath::Abs(pars0[1]) >= 0.000000000001)) { |
3a0f6479 | 5461 | min0 = -pars0[1]/(2*pars0[2]); |
5462 | ermin0 = TMath::Abs(min0*(errorsx0/pars0[2]+linearfitter.GetParError(1)*pointError0/pars0[1])); | |
5463 | prf0 = pars0[0]+pars0[1]*min0+pars0[2]*min0*min0; | |
5464 | if(prf0 > 0.0) { | |
5465 | /* | |
5466 | prfe0 = linearfitter->GetParError(0)*pointError0 | |
5467 | +(linearfitter->GetParError(1)*pointError0/pars0[1]+ermin0/min0)*pars0[1]*min0 | |
5468 | +(linearfitter->GetParError(2)*pointError0/pars0[2]+2*ermin0/min0)*pars0[2]*min0*min0; | |
5469 | prfe0 = prfe0/(2*TMath::Sqrt(prf0)); | |
5470 | fCurrentCoefE = (Float_t) prfe0; | |
5471 | */ | |
5472 | fCurrentCoef[0] = (Float_t) TMath::Sqrt(TMath::Abs(prf0)); | |
5473 | } | |
5474 | else{ | |
5475 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5476 | } | |
5477 | } | |
5478 | else { | |
5479 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5480 | } | |
55a288e5 | 5481 | |
3a0f6479 | 5482 | if(fDebugLevel > 1){ |
5483 | ||
5484 | if ( !fDebugStreamer ) { | |
5485 | //debug stream | |
5486 | TDirectory *backup = gDirectory; | |
4aad967c | 5487 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5488 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5489 | } | |
5490 | ||
5491 | Int_t detector = fCountDet; | |
053767a4 | 5492 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5493 | Int_t nbtotal = total; |
5494 | Double_t colsize[6] = {0.635,0.665,0.695,0.725,0.755,0.785}; | |
053767a4 | 5495 | Double_t sigmax = TMath::Sqrt(TMath::Abs(pars0[2]))*10000*colsize[layer]; |
3a0f6479 | 5496 | |
413153cb | 5497 | (* fDebugStreamer) << "FitTnpRange1"<< |
3a0f6479 | 5498 | "detector="<<detector<< |
053767a4 | 5499 | "layer="<<layer<< |
3a0f6479 | 5500 | "nbtotal="<<nbtotal<< |
5501 | "par0="<<pars0[0]<< | |
5502 | "par1="<<pars0[1]<< | |
5503 | "par2="<<pars0[2]<< | |
5504 | "npoints="<<npoints<< | |
5505 | "sigmax="<<sigmax<< | |
5506 | "tan="<<min0<< | |
5507 | "sigmaprf="<<fCurrentCoef[0]<< | |
5508 | "sigprf="<<fCurrentCoef[1]<< | |
5509 | "\n"; | |
5510 | } | |
5511 | ||
55a288e5 | 5512 | } |
5513 | ||
5514 | } | |
55a288e5 | 5515 | //_____________________________________________________________________________ |
3a0f6479 | 5516 | void AliTRDCalibraFit::FitMean(TH1 *projch, Double_t nentries, Double_t mean) |
55a288e5 | 5517 | { |
5518 | // | |
5519 | // Only mean methode for the gain factor | |
5520 | // | |
5521 | ||
3a0f6479 | 5522 | fCurrentCoef[0] = mean; |
5523 | fCurrentCoefE = 0.0; | |
5524 | if(nentries > 0) fCurrentCoefE = projch->GetRMS()/TMath::Sqrt(nentries); | |
5525 | if (fDebugLevel == 1) { | |
55a288e5 | 5526 | TCanvas *cpmean = new TCanvas("cpmean","cpmean",50,50,600,800); |
5527 | cpmean->cd(); | |
5528 | projch->Draw(); | |
5529 | } | |
3a0f6479 | 5530 | CalculChargeCoefMean(kTRUE); |
5531 | fNumberFitSuccess++; | |
55a288e5 | 5532 | } |
55a288e5 | 5533 | //_____________________________________________________________________________ |
3a0f6479 | 5534 | void AliTRDCalibraFit::FitMeanW(TH1 *projch, Double_t nentries) |
55a288e5 | 5535 | { |
5536 | // | |
5537 | // mean w methode for the gain factor | |
5538 | // | |
5539 | ||
5540 | //Number of bins | |
5541 | Int_t nybins = projch->GetNbinsX(); | |
5542 | ||
5543 | //The weight function | |
5544 | Double_t a = 0.00228515; | |
5545 | Double_t b = -0.00231487; | |
5546 | Double_t c = 0.00044298; | |
5547 | Double_t d = -0.00379239; | |
5548 | Double_t e = 0.00338349; | |
5549 | ||
3a0f6479 | 5550 | // 0 |0.00228515 |
5551 | // 1 |-0.00231487 | |
5552 | // 2 |0.00044298 | |
5553 | // 3 |-0.00379239 | |
5554 | // 4 |0.00338349 | |
5555 | ||
5556 | ||
55a288e5 | 5557 | |
5558 | //A arbitrary error for the moment | |
3a0f6479 | 5559 | fCurrentCoefE = 0.0; |
5560 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 5561 | |
5562 | //Calcul | |
5563 | Double_t sumw = 0.0; | |
5564 | Double_t sum = 0.0; | |
3a0f6479 | 5565 | Float_t sumAll = (Float_t) nentries; |
55a288e5 | 5566 | Int_t sumCurrent = 0; |
5567 | for(Int_t k = 0; k <nybins; k++){ | |
5568 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
5569 | if (fraction>0.95) break; | |
5570 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
5571 | e*fraction*fraction*fraction*fraction; | |
5572 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
5573 | sum += weight*projch->GetBinContent(k+1); | |
5574 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
5575 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
5576 | } | |
3a0f6479 | 5577 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 5578 | |
3a0f6479 | 5579 | if (fDebugLevel == 1) { |
55a288e5 | 5580 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); |
5581 | cpmeanw->cd(); | |
5582 | projch->Draw(); | |
5583 | } | |
3a0f6479 | 5584 | fNumberFitSuccess++; |
5585 | CalculChargeCoefMean(kTRUE); | |
5586 | } | |
5587 | //_____________________________________________________________________________ | |
5588 | void AliTRDCalibraFit::FitMeanWSm(TH1 *projch, Float_t sumAll) | |
5589 | { | |
5590 | // | |
5591 | // mean w methode for the gain factor | |
5592 | // | |
5593 | ||
5594 | //Number of bins | |
5595 | Int_t nybins = projch->GetNbinsX(); | |
5596 | ||
5597 | //The weight function | |
5598 | Double_t a = 0.00228515; | |
5599 | Double_t b = -0.00231487; | |
5600 | Double_t c = 0.00044298; | |
5601 | Double_t d = -0.00379239; | |
5602 | Double_t e = 0.00338349; | |
5603 | ||
5604 | // 0 |0.00228515 | |
5605 | // 1 |-0.00231487 | |
5606 | // 2 |0.00044298 | |
5607 | // 3 |-0.00379239 | |
5608 | // 4 |0.00338349 | |
5609 | ||
5610 | ||
5611 | ||
5612 | //A arbitrary error for the moment | |
5613 | fCurrentCoefE = 0.0; | |
5614 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 5615 | |
3a0f6479 | 5616 | //Calcul |
5617 | Double_t sumw = 0.0; | |
5618 | Double_t sum = 0.0; | |
5619 | Int_t sumCurrent = 0; | |
5620 | for(Int_t k = 0; k <nybins; k++){ | |
5621 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
5622 | if (fraction>0.95) break; | |
5623 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
5624 | e*fraction*fraction*fraction*fraction; | |
5625 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
5626 | sum += weight*projch->GetBinContent(k+1); | |
5627 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
5628 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
55a288e5 | 5629 | } |
3a0f6479 | 5630 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 5631 | |
3a0f6479 | 5632 | if (fDebugLevel == 1) { |
5633 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); | |
5634 | cpmeanw->cd(); | |
5635 | projch->Draw(); | |
5636 | } | |
5637 | fNumberFitSuccess++; | |
55a288e5 | 5638 | } |
55a288e5 | 5639 | //_____________________________________________________________________________ |
3a0f6479 | 5640 | void AliTRDCalibraFit::FitCH(TH1 *projch, Double_t mean) |
55a288e5 | 5641 | { |
5642 | // | |
5643 | // Fit methode for the gain factor | |
5644 | // | |
5645 | ||
3a0f6479 | 5646 | fCurrentCoef[0] = 0.0; |
5647 | fCurrentCoefE = 0.0; | |
55a288e5 | 5648 | Double_t chisqrl = 0.0; |
5649 | Double_t chisqrg = 0.0; | |
3a0f6479 | 5650 | Double_t chisqr = 0.0; |
55a288e5 | 5651 | TF1 *fLandauGaus = new TF1("fLandauGaus",FuncLandauGaus,0,300,5); |
5652 | ||
5653 | projch->Fit("landau","0","" | |
3a0f6479 | 5654 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5655 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5656 | Double_t l3P0 = projch->GetFunction("landau")->GetParameter(0); | |
5657 | Double_t l3P1 = projch->GetFunction("landau")->GetParameter(1); | |
5658 | Double_t l3P2 = projch->GetFunction("landau")->GetParameter(2); | |
5659 | chisqrl = projch->GetFunction("landau")->GetChisquare(); | |
5660 | ||
5661 | projch->Fit("gaus","0","" | |
3a0f6479 | 5662 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5663 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5664 | Double_t g3P0 = projch->GetFunction("gaus")->GetParameter(0); | |
5665 | Double_t g3P2 = projch->GetFunction("gaus")->GetParameter(2); | |
5666 | chisqrg = projch->GetFunction("gaus")->GetChisquare(); | |
5667 | ||
5668 | fLandauGaus->SetParameters(l3P0,l3P1,l3P2,g3P0,g3P2); | |
3a0f6479 | 5669 | if (fDebugLevel != 1) { |
55a288e5 | 5670 | projch->Fit("fLandauGaus","0","" |
3a0f6479 | 5671 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5672 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5673 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
3a0f6479 | 5674 | } |
5675 | else { | |
55a288e5 | 5676 | TCanvas *cp = new TCanvas("cp","cp",50,50,600,800); |
5677 | cp->cd(); | |
5678 | projch->Fit("fLandauGaus","+","" | |
3a0f6479 | 5679 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5680 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5681 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
5682 | projch->Draw(); | |
5683 | fLandauGaus->Draw("same"); | |
5684 | } | |
5685 | ||
3a0f6479 | 5686 | if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (projch->GetFunction("fLandauGaus")->GetParError(1) < (0.05*projch->GetFunction("fLandauGaus")->GetParameter(1))) && (chisqr < chisqrl) && (chisqr < chisqrg)) { |
5687 | //if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (chisqr < chisqrl) && (chisqr < chisqrg)) { | |
5688 | fNumberFitSuccess++; | |
5689 | CalculChargeCoefMean(kTRUE); | |
5690 | fCurrentCoef[0] = projch->GetFunction("fLandauGaus")->GetParameter(1); | |
5691 | fCurrentCoefE = projch->GetFunction("fLandauGaus")->GetParError(1); | |
55a288e5 | 5692 | } |
5693 | else { | |
3a0f6479 | 5694 | CalculChargeCoefMean(kFALSE); |
5695 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 5696 | } |
5697 | ||
3a0f6479 | 5698 | if (fDebugLevel != 1) { |
55a288e5 | 5699 | delete fLandauGaus; |
5700 | } | |
5701 | ||
5702 | } | |
55a288e5 | 5703 | //_____________________________________________________________________________ |
3a0f6479 | 5704 | void AliTRDCalibraFit::FitBisCH(TH1* projch, Double_t mean) |
55a288e5 | 5705 | { |
5706 | // | |
5707 | // Fit methode for the gain factor more time consuming | |
5708 | // | |
5709 | ||
3a0f6479 | 5710 | |
55a288e5 | 5711 | //Some parameters to initialise |
e6381f8e | 5712 | Double_t widthLandau, widthGaus, mPV, integral; |
55a288e5 | 5713 | Double_t chisquarel = 0.0; |
5714 | Double_t chisquareg = 0.0; | |
55a288e5 | 5715 | projch->Fit("landau","0M+","" |
3a0f6479 | 5716 | ,(Double_t) mean/6 |
55a288e5 | 5717 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5718 | widthLandau = projch->GetFunction("landau")->GetParameter(2); | |
5719 | chisquarel = projch->GetFunction("landau")->GetChisquare(); | |
55a288e5 | 5720 | projch->Fit("gaus","0M+","" |
3a0f6479 | 5721 | ,(Double_t) mean/6 |
55a288e5 | 5722 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5723 | widthGaus = projch->GetFunction("gaus")->GetParameter(2); | |
5724 | chisquareg = projch->GetFunction("gaus")->GetChisquare(); | |
3a0f6479 | 5725 | |
e6381f8e | 5726 | mPV = (projch->GetFunction("landau")->GetParameter(1))/2; |
5727 | integral = (projch->GetFunction("gaus")->Integral(0.3*mean,3*mean)+projch->GetFunction("landau")->Integral(0.3*mean,3*mean))/2; | |
3a0f6479 | 5728 | |
55a288e5 | 5729 | // Setting fit range and start values |
5730 | Double_t fr[2]; | |
5731 | //Double_t sv[4] = { l3P2, fChargeCoef[1], projch->Integral("width"), fG3P2 }; | |
5732 | //Double_t sv[4] = { fL3P2, fChargeCoef[1], fL3P0, fG3P2 }; | |
e6381f8e | 5733 | Double_t sv[4] = { widthLandau, mPV, integral, widthGaus}; |
55a288e5 | 5734 | Double_t pllo[4] = { 0.001, 0.001, projch->Integral()/3, 0.001}; |
5735 | Double_t plhi[4] = { 300.0, 300.0, 30*projch->Integral(), 300.0}; | |
5736 | Double_t fp[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
5737 | Double_t fpe[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
3a0f6479 | 5738 | fr[0] = 0.3 * mean; |
5739 | fr[1] = 3.0 * mean; | |
5740 | fCurrentCoef[0] = 0.0; | |
5741 | fCurrentCoefE = 0.0; | |
55a288e5 | 5742 | |
5743 | Double_t chisqr; | |
5744 | Int_t ndf; | |
5745 | TF1 *fitsnr = LanGauFit(projch,&fr[0],&sv[0] | |
5746 | ,&pllo[0],&plhi[0] | |
5747 | ,&fp[0],&fpe[0] | |
5748 | ,&chisqr,&ndf); | |
5749 | ||
5750 | Double_t projchPeak; | |
5751 | Double_t projchFWHM; | |
5752 | LanGauPro(fp,projchPeak,projchFWHM); | |
5753 | ||
5754 | if ((fp[1] > 0) && ((fpe[1] < (0.05*fp[1])) && (chisqr < chisquarel) && (chisqr < chisquareg))) { | |
5755 | //if ((fp[1] > 0) && ((chisqr < chisquarel) && (chisqr < chisquareg))) { | |
3a0f6479 | 5756 | fNumberFitSuccess++; |
5757 | CalculChargeCoefMean(kTRUE); | |
5758 | fCurrentCoef[0] = fp[1]; | |
5759 | fCurrentCoefE = fpe[1]; | |
55a288e5 | 5760 | //chargeCoefE2 = chisqr; |
5761 | } | |
5762 | else { | |
3a0f6479 | 5763 | CalculChargeCoefMean(kFALSE); |
5764 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 5765 | } |
3a0f6479 | 5766 | if (fDebugLevel == 1) { |
5767 | AliInfo(Form("fChargeCoef[0]: %f",(Float_t) fCurrentCoef[0])); | |
55a288e5 | 5768 | TCanvas *cpy = new TCanvas("cpy","cpy",50,50,600,800); |
5769 | cpy->cd(); | |
5770 | projch->Draw(); | |
5771 | fitsnr->Draw("same"); | |
5772 | } | |
3a0f6479 | 5773 | else { |
55a288e5 | 5774 | delete fitsnr; |
5775 | } | |
3a0f6479 | 5776 | } |
55a288e5 | 5777 | //_____________________________________________________________________________ |
3b0c1edc | 5778 | void AliTRDCalibraFit::CalculPolynomeLagrange2(const Double_t *x, const Double_t *y, Double_t &c0, Double_t &c1, Double_t &c2, Double_t &c3, Double_t &c4) const |
55a288e5 | 5779 | { |
5780 | // | |
5781 | // Calcul the coefficients of the polynome passant par ces trois points de degre 2 | |
5782 | // | |
55a288e5 | 5783 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])); |
5784 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])); | |
5785 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])); | |
5786 | ||
3b0c1edc | 5787 | c4 = 0.0; |
5788 | c3 = 0.0; | |
5789 | c2 = x0+x1+x2; | |
5790 | c1 = -(x0*(x[1]+x[2])+x1*(x[0]+x[2])+x2*(x[0]+x[1])); | |
5791 | c0 = x0*x[1]*x[2]+x1*x[0]*x[2]+x2*x[0]*x[1]; | |
3a0f6479 | 5792 | |
55a288e5 | 5793 | } |
5794 | ||
5795 | //_____________________________________________________________________________ | |
3b0c1edc | 5796 | void AliTRDCalibraFit::CalculPolynomeLagrange3(const Double_t *x, const Double_t *y, Double_t &c0, Double_t &c1, Double_t &c2, Double_t &c3, Double_t &c4) const |
55a288e5 | 5797 | { |
5798 | // | |
5799 | // Calcul the coefficients of the polynome passant par ces quatre points de degre 3 | |
5800 | // | |
55a288e5 | 5801 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])); |
5802 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])); | |
5803 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])); | |
5804 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])); | |
5805 | ||
3b0c1edc | 5806 | c4 = 0.0; |
5807 | c3 = x0+x1+x2+x3; | |
5808 | c2 = -(x0*(x[1]+x[2]+x[3]) | |
55a288e5 | 5809 | +x1*(x[0]+x[2]+x[3]) |
5810 | +x2*(x[0]+x[1]+x[3]) | |
5811 | +x3*(x[0]+x[1]+x[2])); | |
3b0c1edc | 5812 | c1 = (x0*(x[1]*x[2]+x[1]*x[3]+x[2]*x[3]) |
55a288e5 | 5813 | +x1*(x[0]*x[2]+x[0]*x[3]+x[2]*x[3]) |
5814 | +x2*(x[0]*x[1]+x[0]*x[3]+x[1]*x[3]) | |
5815 | +x3*(x[0]*x[1]+x[0]*x[2]+x[1]*x[2])); | |
5816 | ||
3b0c1edc | 5817 | c0 = -(x0*x[1]*x[2]*x[3] |
55a288e5 | 5818 | +x1*x[0]*x[2]*x[3] |
5819 | +x2*x[0]*x[1]*x[3] | |
5820 | +x3*x[0]*x[1]*x[2]); | |
5821 | ||
3a0f6479 | 5822 | |
55a288e5 | 5823 | } |
5824 | ||
5825 | //_____________________________________________________________________________ | |
3b0c1edc | 5826 | void AliTRDCalibraFit::CalculPolynomeLagrange4(const Double_t *x, const Double_t *y, Double_t &c0, Double_t &c1, Double_t &c2, Double_t &c3, Double_t &c4) const |
55a288e5 | 5827 | { |
5828 | // | |
5829 | // Calcul the coefficients of the polynome passant par ces cinqs points de degre 4 | |
5830 | // | |
55a288e5 | 5831 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])*(x[0]-x[4])); |
5832 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])*(x[1]-x[4])); | |
5833 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])*(x[2]-x[4])); | |
5834 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])*(x[3]-x[4])); | |
5835 | Double_t x4 = y[4]/((x[4]-x[0])*(x[4]-x[1])*(x[4]-x[2])*(x[4]-x[3])); | |
3a0f6479 | 5836 | |
55a288e5 | 5837 | |
3b0c1edc | 5838 | c4 = x0+x1+x2+x3+x4; |
5839 | c3 = -(x0*(x[1]+x[2]+x[3]+x[4]) | |
55a288e5 | 5840 | +x1*(x[0]+x[2]+x[3]+x[4]) |
5841 | +x2*(x[0]+x[1]+x[3]+x[4]) | |
5842 | +x3*(x[0]+x[1]+x[2]+x[4]) | |
5843 | +x4*(x[0]+x[1]+x[2]+x[3])); | |
3b0c1edc | 5844 | c2 = (x0*(x[1]*x[2]+x[1]*x[3]+x[1]*x[4]+x[2]*x[3]+x[2]*x[4]+x[3]*x[4]) |
55a288e5 | 5845 | +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]) |
5846 | +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]) | |
5847 | +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]) | |
5848 | +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])); | |
5849 | ||
3b0c1edc | 5850 | c1 = -(x0*(x[1]*x[2]*x[3]+x[1]*x[2]*x[4]+x[1]*x[3]*x[4]+x[2]*x[3]*x[4]) |
55a288e5 | 5851 | +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]) |
5852 | +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]) | |
5853 | +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]) | |
5854 | +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])); | |
5855 | ||
3b0c1edc | 5856 | c0 = (x0*x[1]*x[2]*x[3]*x[4] |
55a288e5 | 5857 | +x1*x[0]*x[2]*x[3]*x[4] |
5858 | +x2*x[0]*x[1]*x[3]*x[4] | |
5859 | +x3*x[0]*x[1]*x[2]*x[4] | |
5860 | +x4*x[0]*x[1]*x[2]*x[3]); | |
5861 | ||
55a288e5 | 5862 | } |
55a288e5 | 5863 | //_____________________________________________________________________________ |
5864 | void AliTRDCalibraFit::NormierungCharge() | |
5865 | { | |
5866 | // | |
5867 | // Normalisation of the gain factor resulting for the fits | |
5868 | // | |
5869 | ||
5870 | // Calcul of the mean of choosen method by fFitChargeNDB | |
5871 | Double_t sum = 0.0; | |
5872 | //printf("total number of entries %d\n",fVectorFitCH->GetEntriesFast()); | |
3a0f6479 | 5873 | for (Int_t k = 0; k < (Int_t) fVectorFit.GetEntriesFast(); k++) { |
55a288e5 | 5874 | Int_t total = 0; |
3a0f6479 | 5875 | Int_t detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); |
5876 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
55a288e5 | 5877 | //printf("detector %d coef[0] %f\n",detector,coef[0]); |
053767a4 | 5878 | if (GetStack(detector) == 2) { |
55a288e5 | 5879 | total = 1728; |
5880 | } | |
053767a4 | 5881 | if (GetStack(detector) != 2) { |
55a288e5 | 5882 | total = 2304; |
5883 | } | |
5884 | for (Int_t j = 0; j < total; j++) { | |
5885 | if (coef[j] >= 0) { | |
5886 | sum += coef[j]; | |
5887 | } | |
5888 | } | |
5889 | } | |
5890 | ||
5891 | if (sum > 0) { | |
5892 | fScaleFitFactor = fScaleFitFactor / sum; | |
5893 | } | |
5894 | else { | |
5895 | fScaleFitFactor = 1.0; | |
3a0f6479 | 5896 | } |
55a288e5 | 5897 | |
3a0f6479 | 5898 | //methode de boeuf mais bon... |
5899 | Double_t scalefactor = fScaleFitFactor; | |
55a288e5 | 5900 | |
3a0f6479 | 5901 | if(fDebugLevel > 1){ |
5902 | ||
5903 | if ( !fDebugStreamer ) { | |
5904 | //debug stream | |
5905 | TDirectory *backup = gDirectory; | |
4aad967c | 5906 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); |
3a0f6479 | 5907 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5908 | } | |
413153cb | 5909 | (* fDebugStreamer) << "NormierungCharge"<< |
3a0f6479 | 5910 | "scalefactor="<<scalefactor<< |
5911 | "\n"; | |
5912 | } | |
55a288e5 | 5913 | } |
55a288e5 | 5914 | //_____________________________________________________________________________ |
979b168f | 5915 | TH1I *AliTRDCalibraFit::ReBin(const TH1I *hist) const |
55a288e5 | 5916 | { |
5917 | // | |
5918 | // Rebin of the 1D histo for the gain calibration if needed. | |
5919 | // you have to choose fRebin, divider of fNumberBinCharge | |
5920 | // | |
5921 | ||
3a0f6479 | 5922 | TAxis *xhist = hist->GetXaxis(); |
5923 | TH1I *rehist = new TH1I("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
5924 | ,xhist->GetBinLowEdge(1) | |
5925 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
55a288e5 | 5926 | |
3a0f6479 | 5927 | AliInfo(Form("fRebin: %d",fRebin)); |
5928 | Int_t i = 1; | |
5929 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
5930 | Double_t sum = 0.0; | |
5931 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
5932 | sum += hist->GetBinContent(ji); | |
5933 | } | |
5934 | sum = sum / fRebin; | |
5935 | rehist->SetBinContent(k,sum); | |
5936 | i += fRebin; | |
5937 | } | |
55a288e5 | 5938 | |
3a0f6479 | 5939 | return rehist; |
55a288e5 | 5940 | |
5941 | } | |
5942 | ||
5943 | //_____________________________________________________________________________ | |
979b168f | 5944 | TH1F *AliTRDCalibraFit::ReBin(const TH1F *hist) const |
55a288e5 | 5945 | { |
5946 | // | |
5947 | // Rebin of the 1D histo for the gain calibration if needed | |
5948 | // you have to choose fRebin divider of fNumberBinCharge | |
5949 | // | |
5950 | ||
5951 | TAxis *xhist = hist->GetXaxis(); | |
5952 | TH1F *rehist = new TH1F("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
5953 | ,xhist->GetBinLowEdge(1) | |
5954 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
5955 | ||
5956 | AliInfo(Form("fRebin: %d",fRebin)); | |
5957 | Int_t i = 1; | |
5958 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
5959 | Double_t sum = 0.0; | |
5960 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
5961 | sum += hist->GetBinContent(ji); | |
5962 | } | |
5963 | sum = sum/fRebin; | |
5964 | rehist->SetBinContent(k,sum); | |
5965 | i += fRebin; | |
5966 | } | |
5967 | ||
55a288e5 | 5968 | return rehist; |
5969 | ||
55a288e5 | 5970 | } |
55a288e5 | 5971 | // |
5972 | //____________Some basic geometry function_____________________________________ | |
5973 | // | |
5974 | ||
5975 | //_____________________________________________________________________________ | |
053767a4 | 5976 | Int_t AliTRDCalibraFit::GetLayer(Int_t d) const |
55a288e5 | 5977 | { |
5978 | // | |
5979 | // Reconstruct the plane number from the detector number | |
5980 | // | |
5981 | ||
5982 | return ((Int_t) (d % 6)); | |
5983 | ||
5984 | } | |
5985 | ||
5986 | //_____________________________________________________________________________ | |
053767a4 | 5987 | Int_t AliTRDCalibraFit::GetStack(Int_t d) const |
55a288e5 | 5988 | { |
5989 | // | |
053767a4 | 5990 | // Reconstruct the stack number from the detector number |
55a288e5 | 5991 | // |
053767a4 | 5992 | const Int_t kNlayer = 6; |
55a288e5 | 5993 | |
053767a4 | 5994 | return ((Int_t) (d % 30) / kNlayer); |
55a288e5 | 5995 | |
5996 | } | |
5997 | ||
5998 | //_____________________________________________________________________________ | |
5999 | Int_t AliTRDCalibraFit::GetSector(Int_t d) const | |
6000 | { | |
6001 | // | |
6002 | // Reconstruct the sector number from the detector number | |
6003 | // | |
6004 | Int_t fg = 30; | |
6005 | ||
6006 | return ((Int_t) (d / fg)); | |
6007 | ||
6008 | } | |
6009 | ||
6010 | // | |
6011 | //____________Fill and Init tree Gain, PRF, Vdrift and T0______________________ | |
6012 | // | |
3a0f6479 | 6013 | //_______________________________________________________________________________ |
6014 | void AliTRDCalibraFit::ResetVectorFit() | |
55a288e5 | 6015 | { |
e6381f8e | 6016 | // |
6017 | // Reset the VectorFits | |
6018 | // | |
6019 | ||
3a0f6479 | 6020 | fVectorFit.SetOwner(); |
6021 | fVectorFit.Clear(); | |
6022 | fVectorFit2.SetOwner(); | |
6023 | fVectorFit2.Clear(); | |
55a288e5 | 6024 | |
55a288e5 | 6025 | } |
55a288e5 | 6026 | // |
6027 | //____________Private Functions________________________________________________ | |
6028 | // | |
6029 | ||
6030 | //_____________________________________________________________________________ | |
979b168f | 6031 | Double_t AliTRDCalibraFit::PH(const Double_t *x, const Double_t *par) |
55a288e5 | 6032 | { |
6033 | // | |
6034 | // Function for the fit | |
6035 | // | |
6036 | ||
6037 | //TF1 *fAsymmGauss = new TF1("fAsymmGauss",AsymmGauss,0,4,6); | |
6038 | ||
6039 | //PARAMETERS FOR FIT PH | |
6040 | // PASAv.4 | |
6041 | //fAsymmGauss->SetParameter(0,0.113755); | |
6042 | //fAsymmGauss->SetParameter(1,0.350706); | |
6043 | //fAsymmGauss->SetParameter(2,0.0604244); | |
6044 | //fAsymmGauss->SetParameter(3,7.65596); | |
6045 | //fAsymmGauss->SetParameter(4,1.00124); | |
6046 | //fAsymmGauss->SetParameter(5,0.870597); // No tail cancelation | |
6047 | ||
6048 | Double_t xx = x[0]; | |
6049 | ||
6050 | if (xx < par[1]) { | |
6051 | return par[5]; | |
6052 | } | |
6053 | ||
6054 | Double_t dx = 0.005; | |
6055 | Double_t xs = par[1]; | |
6056 | Double_t ss = 0.0; | |
6057 | Double_t paras[2] = { 0.0, 0.0 }; | |
6058 | ||
6059 | while (xs < xx) { | |
6060 | if ((xs >= par[1]) && | |
6061 | (xs < (par[1]+par[2]))) { | |
6062 | //fAsymmGauss->SetParameter(0,par[0]); | |
6063 | //fAsymmGauss->SetParameter(1,xs); | |
6064 | //ss += fAsymmGauss->Eval(xx); | |
6065 | paras[0] = par[0]; | |
6066 | paras[1] = xs; | |
6067 | ss += AsymmGauss(&xx,paras); | |
6068 | } | |
6069 | if ((xs >= (par[1]+par[2])) && | |
6070 | (xs < (par[1]+par[2]+par[3]))) { | |
6071 | //fAsymmGauss->SetParameter(0,par[0]*par[4]); | |
6072 | //fAsymmGauss->SetParameter(1,xs); | |
6073 | //ss += fAsymmGauss->Eval(xx); | |
6074 | paras[0] = par[0]*par[4]; | |
6075 | paras[1] = xs; | |
6076 | ss += AsymmGauss(&xx,paras); | |
6077 | } | |
6078 | xs += dx; | |
6079 | } | |
6080 | ||
6081 | return ss + par[5]; | |
6082 | ||
6083 | } | |
6084 | ||
6085 | //_____________________________________________________________________________ | |
979b168f | 6086 | Double_t AliTRDCalibraFit::AsymmGauss(const Double_t *x, const Double_t *par) |
55a288e5 | 6087 | { |
6088 | // | |
6089 | // Function for the fit | |
6090 | // | |
6091 | ||
6092 | //par[0] = normalization | |
6093 | //par[1] = mean | |
6094 | //par[2] = sigma | |
6095 | //norm0 = 1 | |
6096 | //par[3] = lambda0 | |
6097 | //par[4] = norm1 | |
6098 | //par[5] = lambda1 | |
6099 | ||
6100 | Double_t par1save = par[1]; | |
6101 | //Double_t par2save = par[2]; | |
6102 | Double_t par2save = 0.0604244; | |
6103 | //Double_t par3save = par[3]; | |
6104 | Double_t par3save = 7.65596; | |
6105 | //Double_t par5save = par[5]; | |
6106 | Double_t par5save = 0.870597; | |
6107 | Double_t dx = x[0] - par1save; | |
6108 | ||
6109 | Double_t sigma2 = par2save*par2save; | |
6110 | Double_t sqrt2 = TMath::Sqrt(2.0); | |
6111 | Double_t exp1 = par3save * TMath::Exp(-par3save * (dx - 0.5 * par3save * sigma2)) | |
bb7e41dd | 6112 | * (1.0 - AliMathBase::ErfFast((par3save * sigma2 - dx) / (sqrt2 * par2save))); |
55a288e5 | 6113 | Double_t exp2 = par5save * TMath::Exp(-par5save * (dx - 0.5 * par5save * sigma2)) |
bb7e41dd | 6114 | * (1.0 - AliMathBase::ErfFast((par5save * sigma2 - dx) / (sqrt2 * par2save))); |
55a288e5 | 6115 | |
6116 | //return par[0]*(exp1+par[4]*exp2); | |
6117 | return par[0] * (exp1 + 1.00124 * exp2); | |
6118 | ||
6119 | } | |
6120 | ||
6121 | //_____________________________________________________________________________ | |
979b168f | 6122 | Double_t AliTRDCalibraFit::FuncLandauGaus(const Double_t *x, const Double_t *par) |
55a288e5 | 6123 | { |
6124 | // | |
6125 | // Sum Landau + Gaus with identical mean | |
6126 | // | |
6127 | ||
6128 | Double_t valLandau = par[0] * TMath::Landau(x[0],par[1],par[2]); | |
6129 | //Double_t valGaus = par[3] * TMath::Gaus(x[0],par[4],par[5]); | |
6130 | Double_t valGaus = par[3] * TMath::Gaus(x[0],par[1],par[4]); | |
6131 | Double_t val = valLandau + valGaus; | |
6132 | ||
6133 | return val; | |
6134 | ||
6135 | } | |
6136 | ||
6137 | //_____________________________________________________________________________ | |
979b168f | 6138 | Double_t AliTRDCalibraFit::LanGauFun(const Double_t *x, const Double_t *par) |
55a288e5 | 6139 | { |
6140 | // | |
6141 | // Function for the fit | |
6142 | // | |
6143 | // Fit parameters: | |
6144 | // par[0]=Width (scale) parameter of Landau density | |
6145 | // par[1]=Most Probable (MP, location) parameter of Landau density | |
6146 | // par[2]=Total area (integral -inf to inf, normalization constant) | |
6147 | // par[3]=Width (sigma) of convoluted Gaussian function | |
6148 | // | |
6149 | // In the Landau distribution (represented by the CERNLIB approximation), | |
6150 | // the maximum is located at x=-0.22278298 with the location parameter=0. | |
6151 | // This shift is corrected within this function, so that the actual | |
6152 | // maximum is identical to the MP parameter. | |
6153 | // | |
6154 | ||
6155 | // Numeric constants | |
6156 | Double_t invsq2pi = 0.3989422804014; // (2 pi)^(-1/2) | |
6157 | Double_t mpshift = -0.22278298; // Landau maximum location | |
6158 | ||
6159 | // Control constants | |
6160 | Double_t np = 100.0; // Number of convolution steps | |
6161 | Double_t sc = 5.0; // Convolution extends to +-sc Gaussian sigmas | |
6162 | ||
6163 | // Variables | |
6164 | Double_t xx; | |
6165 | Double_t mpc; | |
6166 | Double_t fland; | |
6167 | Double_t sum = 0.0; | |
6168 | Double_t xlow; | |
6169 | Double_t xupp; | |
6170 | Double_t step; | |
6171 | Double_t i; | |
6172 | ||
6173 | // MP shift correction | |
6174 | mpc = par[1] - mpshift * par[0]; | |
6175 | ||
6176 | // Range of convolution integral | |
6177 | xlow = x[0] - sc * par[3]; | |
6178 | xupp = x[0] + sc * par[3]; | |
6179 | ||
6180 | step = (xupp - xlow) / np; | |
6181 | ||
6182 | // Convolution integral of Landau and Gaussian by sum | |
6183 | for (i = 1.0; i <= np/2; i++) { | |
6184 | ||
6185 | xx = xlow + (i-.5) * step; | |
6186 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
6187 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
6188 | ||
6189 | xx = xupp - (i-.5) * step; | |
6190 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
6191 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
6192 | ||
6193 | } | |
6194 | ||
6195 | return (par[2] * step * sum * invsq2pi / par[3]); | |
6196 | ||
6197 | } | |
55a288e5 | 6198 | //_____________________________________________________________________________ |
979b168f | 6199 | TF1 *AliTRDCalibraFit::LanGauFit(TH1 *his, const Double_t *fitrange, const Double_t *startvalues |
6200 | , const Double_t *parlimitslo, const Double_t *parlimitshi | |
55a288e5 | 6201 | , Double_t *fitparams, Double_t *fiterrors |
e6381f8e | 6202 | , Double_t *chiSqr, Int_t *ndf) const |
55a288e5 | 6203 | { |
6204 | // | |
6205 | // Function for the fit | |
6206 | // | |
6207 | ||
6208 | Int_t i; | |
6209 | Char_t funname[100]; | |
6210 | ||
6211 | TF1 *ffitold = (TF1 *) gROOT->GetListOfFunctions()->FindObject(funname); | |
6212 | if (ffitold) { | |
6213 | delete ffitold; | |
6214 | } | |
6215 | ||
6216 | TF1 *ffit = new TF1(funname,LanGauFun,fitrange[0],fitrange[1],4); | |
6217 | ffit->SetParameters(startvalues); | |
6218 | ffit->SetParNames("Width","MP","Area","GSigma"); | |
6219 | ||
6220 | for (i = 0; i < 4; i++) { | |
6221 | ffit->SetParLimits(i,parlimitslo[i],parlimitshi[i]); | |
6222 | } | |
6223 | ||
6224 | his->Fit(funname,"RB0"); // Fit within specified range, use ParLimits, do not plot | |
6225 | ||
6226 | ffit->GetParameters(fitparams); // Obtain fit parameters | |
6227 | for (i = 0; i < 4; i++) { | |
6228 | fiterrors[i] = ffit->GetParError(i); // Obtain fit parameter errors | |
6229 | } | |
6230 | chiSqr[0] = ffit->GetChisquare(); // Obtain chi^2 | |
6231 | ndf[0] = ffit->GetNDF(); // Obtain ndf | |
6232 | ||
6233 | return (ffit); // Return fit function | |
6234 | ||
6235 | } | |
6236 | ||
6237 | //_____________________________________________________________________________ | |
979b168f | 6238 | Int_t AliTRDCalibraFit::LanGauPro(const Double_t *params, Double_t &maxx, Double_t &fwhm) |
55a288e5 | 6239 | { |
6240 | // | |
6241 | // Function for the fit | |
6242 | // | |
6243 | ||
6244 | Double_t p; | |
6245 | Double_t x; | |
6246 | Double_t fy; | |
6247 | Double_t fxr; | |
6248 | Double_t fxl; | |
6249 | Double_t step; | |
6250 | Double_t l; | |
6251 | Double_t lold; | |
6252 | ||
6253 | Int_t i = 0; | |
6254 | Int_t maxcalls = 10000; | |
6255 | ||
6256 | // Search for maximum | |
6257 | p = params[1] - 0.1 * params[0]; | |
6258 | step = 0.05 * params[0]; | |
6259 | lold = -2.0; | |
6260 | l = -1.0; | |
6261 | ||
6262 | while ((l != lold) && (i < maxcalls)) { | |
6263 | i++; | |
6264 | lold = l; | |
6265 | x = p + step; | |
6266 | l = LanGauFun(&x,params); | |
6267 | if (l < lold) { | |
6268 | step = -step / 10.0; | |
6269 | } | |
6270 | p += step; | |
6271 | } | |
6272 | ||
6273 | if (i == maxcalls) { | |
6274 | return (-1); | |
6275 | } | |
6276 | maxx = x; | |
6277 | fy = l / 2.0; | |
6278 | ||
6279 | // Search for right x location of fy | |
6280 | p = maxx + params[0]; | |
6281 | step = params[0]; | |
6282 | lold = -2.0; | |
6283 | l = -1e300; | |
6284 | i = 0; | |
6285 | ||
6286 | while ( (l != lold) && (i < maxcalls) ) { | |
6287 | i++; | |
6288 | ||
6289 | lold = l; | |
6290 | x = p + step; | |
6291 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
6292 | ||
6293 | if (l > lold) | |
6294 | step = -step/10; | |
6295 | ||
6296 | p += step; | |
6297 | } | |
6298 | ||
6299 | if (i == maxcalls) | |
6300 | return (-2); | |
6301 | ||
6302 | fxr = x; | |
6303 | ||
3a0f6479 | 6304 | |
55a288e5 | 6305 | // Search for left x location of fy |
6306 | ||
6307 | p = maxx - 0.5 * params[0]; | |
6308 | step = -params[0]; | |
6309 | lold = -2.0; | |
6310 | l = -1.0e300; | |
6311 | i = 0; | |
6312 | ||
6313 | while ((l != lold) && (i < maxcalls)) { | |
6314 | i++; | |
6315 | lold = l; | |
6316 | x = p + step; | |
6317 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
6318 | if (l > lold) { | |
6319 | step = -step / 10.0; | |
6320 | } | |
6321 | p += step; | |
6322 | } | |
6323 | ||
6324 | if (i == maxcalls) { | |
6325 | return (-3); | |
6326 | } | |
6327 | ||
6328 | fxl = x; | |
6329 | fwhm = fxr - fxl; | |
6330 | ||
6331 | return (0); | |
55a288e5 | 6332 | } |
55a288e5 | 6333 | //_____________________________________________________________________________ |
979b168f | 6334 | Double_t AliTRDCalibraFit::GausConstant(const Double_t *x, const Double_t *par) |
55a288e5 | 6335 | { |
6336 | // | |
6337 | // Gaus with identical mean | |
6338 | // | |
6339 | ||
e6381f8e | 6340 | Double_t gauss = par[0] * TMath::Gaus(x[0],0.0,par[1])+par[2]; |
55a288e5 | 6341 | |
e6381f8e | 6342 | return gauss; |
55a288e5 | 6343 | |
ef19f1da | 6344 | } |
4c865c34 | 6345 | |
3b0c1edc | 6346 | |
6347 |