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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 | |
31 | // _fDebug = 1: a comparaison of the coefficients found and the default values | |
32 | // in the choosen database. | |
33 | // fCoef , histogram of the coefs as function of the calibration group number | |
34 | // fDelta , histogram of the relative difference of the coef with the default | |
35 | // value in the database as function of the calibration group number | |
36 | // fError , dirstribution of this relative difference | |
37 | // _fDebug = 2: only the fit of the choosen calibration group fFitVoir (SetFitVoir) | |
38 | // _fDebug = 3: The coefficients in the choosen detector fDet (SetDet) as function of the | |
39 | // pad row and col number | |
40 | // _fDebug = 4; The coeffcicients in the choosen detector fDet (SetDet) like in the 3 but with | |
41 | // also the comparaison histograms of the 1 for this detector | |
42 | // | |
43 | // | |
44 | // Author: | |
45 | // R. Bailhache (R.Bailhache@gsi.de) | |
46 | // | |
47 | ////////////////////////////////////////////////////////////////////////////////////// | |
48 | ||
55a288e5 | 49 | #include <TLine.h> |
50 | #include <TH1I.h> | |
51 | #include <TStyle.h> | |
52 | #include <TProfile2D.h> | |
55a288e5 | 53 | #include <TCanvas.h> |
54 | #include <TGraphErrors.h> | |
55a288e5 | 55 | #include <TObjArray.h> |
56 | #include <TH1.h> | |
57 | #include <TH1F.h> | |
58 | #include <TF1.h> | |
55a288e5 | 59 | #include <TAxis.h> |
55a288e5 | 60 | #include <TMath.h> |
55a288e5 | 61 | #include <TDirectory.h> |
62 | #include <TROOT.h> | |
3a0f6479 | 63 | #include <TTreeStream.h> |
64 | #include <TLinearFitter.h> | |
65 | #include <TVectorD.h> | |
66 | #include <TArrayF.h> | |
55a288e5 | 67 | |
68 | #include "AliLog.h" | |
3a0f6479 | 69 | #include "AliMathBase.h" |
55a288e5 | 70 | |
71 | #include "AliTRDCalibraFit.h" | |
72 | #include "AliTRDCalibraMode.h" | |
73 | #include "AliTRDCalibraVector.h" | |
3a0f6479 | 74 | #include "AliTRDCalibraVdriftLinearFit.h" |
55a288e5 | 75 | #include "AliTRDcalibDB.h" |
76 | #include "AliTRDgeometry.h" | |
3a0f6479 | 77 | #include "AliTRDpadPlane.h" |
78 | #include "AliTRDgeometry.h" | |
55a288e5 | 79 | #include "./Cal/AliTRDCalROC.h" |
80 | #include "./Cal/AliTRDCalPad.h" | |
81 | #include "./Cal/AliTRDCalDet.h" | |
82 | ||
83 | ||
84 | ClassImp(AliTRDCalibraFit) | |
85 | ||
86 | AliTRDCalibraFit* AliTRDCalibraFit::fgInstance = 0; | |
87 | Bool_t AliTRDCalibraFit::fgTerminated = kFALSE; | |
88 | ||
89 | //_____________singleton implementation_________________________________________________ | |
90 | AliTRDCalibraFit *AliTRDCalibraFit::Instance() | |
91 | { | |
92 | // | |
93 | // Singleton implementation | |
94 | // | |
95 | ||
96 | if (fgTerminated != kFALSE) { | |
97 | return 0; | |
98 | } | |
99 | ||
100 | if (fgInstance == 0) { | |
101 | fgInstance = new AliTRDCalibraFit(); | |
102 | } | |
103 | ||
104 | return fgInstance; | |
105 | ||
106 | } | |
107 | ||
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 | } | |
124 | ||
125 | //______________________________________________________________________________________ | |
126 | AliTRDCalibraFit::AliTRDCalibraFit() | |
127 | :TObject() | |
f162af62 | 128 | ,fGeo(0) |
3a0f6479 | 129 | ,fNumberOfBinsExpected(0) |
130 | ,fMethod(0) | |
131 | ,fBeginFitCharge(3.5) | |
132 | ,fFitPHPeriode(1) | |
55a288e5 | 133 | ,fTakeTheMaxPH(kFALSE) |
3a0f6479 | 134 | ,fT0Shift(0.124797) |
135 | ,fRangeFitPRF(1.0) | |
55a288e5 | 136 | ,fAccCDB(kFALSE) |
3a0f6479 | 137 | ,fMinEntries(800) |
138 | ,fRebin(1) | |
55a288e5 | 139 | ,fNumberFit(0) |
140 | ,fNumberFitSuccess(0) | |
141 | ,fNumberEnt(0) | |
142 | ,fStatisticMean(0.0) | |
3a0f6479 | 143 | ,fDebugStreamer(0x0) |
144 | ,fDebugLevel(0) | |
55a288e5 | 145 | ,fFitVoir(0) |
3a0f6479 | 146 | ,fMagneticField(0.5) |
147 | ,fCalibraMode(new AliTRDCalibraMode()) | |
148 | ,fCurrentCoefE(0.0) | |
149 | ,fCurrentCoefE2(0.0) | |
150 | ,fDect1(0) | |
151 | ,fDect2(0) | |
55a288e5 | 152 | ,fScaleFitFactor(0.0) |
153 | ,fEntriesCurrent(0) | |
3a0f6479 | 154 | ,fCountDet(0) |
155 | ,fCount(0) | |
156 | ,fCalDet(0x0) | |
157 | ,fCalROC(0x0) | |
158 | ,fCalDet2(0x0) | |
159 | ,fCalROC2(0x0) | |
160 | ,fCurrentCoefDetector(0x0) | |
161 | ,fCurrentCoefDetector2(0x0) | |
162 | ,fVectorFit(0) | |
163 | ,fVectorFit2(0) | |
55a288e5 | 164 | { |
165 | // | |
166 | // Default constructor | |
167 | // | |
168 | ||
3a0f6479 | 169 | fGeo = new AliTRDgeometry(); |
170 | ||
171 | // Current variables initialised | |
172 | for (Int_t k = 0; k < 2; k++) { | |
173 | fCurrentCoef[k] = 0.0; | |
174 | fCurrentCoef2[k] = 0.0; | |
55a288e5 | 175 | } |
55a288e5 | 176 | for (Int_t i = 0; i < 3; i++) { |
3a0f6479 | 177 | fPhd[i] = 0.0; |
178 | fDet[i] = 0; | |
55a288e5 | 179 | } |
3a0f6479 | 180 | |
55a288e5 | 181 | } |
55a288e5 | 182 | //______________________________________________________________________________________ |
183 | AliTRDCalibraFit::AliTRDCalibraFit(const AliTRDCalibraFit &c) | |
3a0f6479 | 184 | :TObject(c) |
185 | ,fGeo(0) | |
186 | ,fNumberOfBinsExpected(c.fNumberOfBinsExpected) | |
187 | ,fMethod(c.fMethod) | |
188 | ,fBeginFitCharge(c.fBeginFitCharge) | |
189 | ,fFitPHPeriode(c.fFitPHPeriode) | |
190 | ,fTakeTheMaxPH(c.fTakeTheMaxPH) | |
191 | ,fT0Shift(c.fT0Shift) | |
192 | ,fRangeFitPRF(c.fRangeFitPRF) | |
193 | ,fAccCDB(c.fAccCDB) | |
194 | ,fMinEntries(c.fMinEntries) | |
195 | ,fRebin(c.fRebin) | |
196 | ,fNumberFit(c.fNumberFit) | |
197 | ,fNumberFitSuccess(c.fNumberFitSuccess) | |
198 | ,fNumberEnt(c.fNumberEnt) | |
199 | ,fStatisticMean(c.fStatisticMean) | |
200 | ,fDebugStreamer(0x0) | |
201 | ,fDebugLevel(c.fDebugLevel) | |
202 | ,fFitVoir(c.fFitVoir) | |
203 | ,fMagneticField(c.fMagneticField) | |
204 | ,fCalibraMode(0x0) | |
205 | ,fCurrentCoefE(c.fCurrentCoefE) | |
206 | ,fCurrentCoefE2(c.fCurrentCoefE2) | |
207 | ,fDect1(c.fDect1) | |
208 | ,fDect2(c.fDect2) | |
209 | ,fScaleFitFactor(c.fScaleFitFactor) | |
210 | ,fEntriesCurrent(c.fEntriesCurrent) | |
211 | ,fCountDet(c.fCountDet) | |
212 | ,fCount(c.fCount) | |
213 | ,fCalDet(0x0) | |
214 | ,fCalROC(0x0) | |
215 | ,fCalDet2(0x0) | |
216 | ,fCalROC2(0x0) | |
217 | ,fCurrentCoefDetector(0x0) | |
218 | ,fCurrentCoefDetector2(0x0) | |
219 | ,fVectorFit(0) | |
220 | ,fVectorFit2(0) | |
55a288e5 | 221 | { |
222 | // | |
223 | // Copy constructor | |
224 | // | |
225 | ||
3a0f6479 | 226 | if(c.fCalibraMode) fCalibraMode = new AliTRDCalibraMode(*c.fCalibraMode); |
227 | ||
228 | //Current variables initialised | |
229 | for (Int_t k = 0; k < 2; k++) { | |
230 | fCurrentCoef[k] = 0.0; | |
231 | fCurrentCoef2[k] = 0.0; | |
232 | } | |
233 | for (Int_t i = 0; i < 3; i++) { | |
234 | fPhd[i] = 0.0; | |
235 | fDet[i] = 0; | |
236 | } | |
237 | if(c.fCalDet) fCalDet = new AliTRDCalDet(*c.fCalDet); | |
238 | if(c.fCalDet2) fCalDet2 = new AliTRDCalDet(*c.fCalDet2); | |
239 | ||
240 | if(c.fCalROC) fCalROC = new AliTRDCalROC(*c.fCalROC); | |
241 | if(c.fCalROC2) fCalROC = new AliTRDCalROC(*c.fCalROC2); | |
242 | ||
243 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
244 | for(Int_t k = 0; k < c.fVectorFit.GetEntriesFast(); k++){ | |
245 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
246 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetDetector(); | |
247 | Int_t ntotal = 1; | |
248 | if (GetChamber(detector) == 2) { | |
249 | ntotal = 1728; | |
250 | } | |
251 | else { | |
252 | ntotal = 2304; | |
253 | } | |
254 | Float_t *coef = new Float_t[ntotal]; | |
255 | for (Int_t i = 0; i < ntotal; i++) { | |
256 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetCoef()[i]; | |
257 | } | |
258 | fitInfo->SetCoef(coef); | |
259 | fitInfo->SetDetector(detector); | |
260 | fVectorFit.Add((TObject *) fitInfo); | |
261 | } | |
262 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
263 | for(Int_t k = 0; k < c.fVectorFit2.GetEntriesFast(); k++){ | |
264 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
265 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetDetector(); | |
266 | Int_t ntotal = 1; | |
267 | if (GetChamber(detector) == 2) { | |
268 | ntotal = 1728; | |
269 | } | |
270 | else { | |
271 | ntotal = 2304; | |
272 | } | |
273 | Float_t *coef = new Float_t[ntotal]; | |
274 | for (Int_t i = 0; i < ntotal; i++) { | |
275 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetCoef()[i]; | |
276 | } | |
277 | fitInfo->SetCoef(coef); | |
278 | fitInfo->SetDetector(detector); | |
279 | fVectorFit2.Add((TObject *) fitInfo); | |
280 | } | |
281 | if (fGeo) { | |
282 | delete fGeo; | |
283 | } | |
284 | fGeo = new AliTRDgeometry(); | |
55a288e5 | 285 | |
3a0f6479 | 286 | } |
55a288e5 | 287 | //____________________________________________________________________________________ |
288 | AliTRDCalibraFit::~AliTRDCalibraFit() | |
289 | { | |
290 | // | |
291 | // AliTRDCalibraFit destructor | |
292 | // | |
3a0f6479 | 293 | if ( fDebugStreamer ) delete fDebugStreamer; |
294 | if ( fCalDet ) delete fCalDet; | |
295 | if ( fCalDet2 ) delete fCalDet2; | |
296 | if ( fCalROC ) delete fCalROC; | |
297 | if ( fCalROC2 ) delete fCalROC2; | |
298 | fVectorFit.Delete(); | |
299 | fVectorFit2.Delete(); | |
f162af62 | 300 | if (fGeo) { |
301 | delete fGeo; | |
302 | } | |
303 | ||
55a288e5 | 304 | } |
55a288e5 | 305 | //_____________________________________________________________________________ |
306 | void AliTRDCalibraFit::Destroy() | |
307 | { | |
308 | // | |
309 | // Delete instance | |
310 | // | |
311 | ||
312 | if (fgInstance) { | |
313 | delete fgInstance; | |
314 | fgInstance = 0x0; | |
315 | } | |
316 | ||
317 | } | |
55a288e5 | 318 | //____________Functions fit Online CH2d________________________________________ |
3a0f6479 | 319 | Bool_t AliTRDCalibraFit::AnalyseCH(TH2I *ch) |
55a288e5 | 320 | { |
321 | // | |
322 | // Fit the 1D histos, projections of the 2D ch on the Xaxis, for each | |
323 | // calibration group normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 324 | // |
325 | ||
3a0f6479 | 326 | // Set the calibration mode |
327 | const char *name = ch->GetTitle(); | |
328 | SetModeCalibration(name,0); | |
329 | ||
330 | // Number of Ybins (detectors or groups of pads) | |
331 | Int_t nbins = ch->GetNbinsX();// charge | |
332 | Int_t nybins = ch->GetNbinsY();// groups number | |
333 | if (!InitFit(nybins,0)) { | |
55a288e5 | 334 | return kFALSE; |
335 | } | |
3a0f6479 | 336 | if (!InitFitCH()) { |
55a288e5 | 337 | return kFALSE; |
338 | } | |
339 | fStatisticMean = 0.0; | |
340 | fNumberFit = 0; | |
341 | fNumberFitSuccess = 0; | |
342 | fNumberEnt = 0; | |
55a288e5 | 343 | // Init fCountDet and fCount |
344 | InitfCountDetAndfCount(0); | |
55a288e5 | 345 | // Beginning of the loop betwwen dect1 and dect2 |
3a0f6479 | 346 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
347 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi... | |
55a288e5 | 348 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 349 | ReconstructFitRowMinRowMax(idect, 0); |
3a0f6479 | 350 | // Take the histo |
351 | TH1I *projch = (TH1I *) ch->ProjectionX("projch",idect+1,idect+1,(Option_t *)"e"); | |
352 | projch->SetDirectory(0); | |
55a288e5 | 353 | // Number of entries for this calibration group |
354 | Double_t nentries = 0.0; | |
355 | Double_t mean = 0.0; | |
3a0f6479 | 356 | for (Int_t k = 0; k < nbins; k++) { |
357 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
358 | nentries += ch->GetBinContent(binnb); | |
55a288e5 | 359 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); |
3a0f6479 | 360 | projch->SetBinError(k+1,TMath::Sqrt(projch->GetBinContent(k+1))); |
55a288e5 | 361 | } |
3a0f6479 | 362 | projch->SetEntries(nentries); |
363 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 364 | if (nentries > 0) { |
365 | fNumberEnt++; | |
366 | mean /= nentries; | |
367 | } | |
55a288e5 | 368 | // Rebin and statistic stuff |
55a288e5 | 369 | if (fRebin > 1) { |
370 | projch = ReBin((TH1I *) projch); | |
371 | } | |
372 | // This detector has not enough statistics or was off | |
3a0f6479 | 373 | if (nentries <= fMinEntries) { |
374 | NotEnoughStatisticCH(idect); | |
375 | if (fDebugLevel != 1) { | |
55a288e5 | 376 | delete projch; |
377 | } | |
378 | continue; | |
379 | } | |
55a288e5 | 380 | // Statistics of the group fitted |
55a288e5 | 381 | fStatisticMean += nentries; |
382 | fNumberFit++; | |
3a0f6479 | 383 | //Method choosen |
384 | switch(fMethod) | |
385 | { | |
386 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
387 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
388 | case 2: FitCH((TH1 *) projch, mean); break; | |
389 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
390 | default: return kFALSE; | |
391 | } | |
55a288e5 | 392 | // Fill Infos Fit |
3a0f6479 | 393 | FillInfosFitCH(idect); |
55a288e5 | 394 | // Memory!!! |
3a0f6479 | 395 | if (fDebugLevel != 1) { |
55a288e5 | 396 | delete projch; |
397 | } | |
55a288e5 | 398 | } // Boucle object |
55a288e5 | 399 | // Normierungcharge |
3a0f6479 | 400 | if (fDebugLevel != 1) { |
55a288e5 | 401 | NormierungCharge(); |
402 | } | |
55a288e5 | 403 | // Mean Statistic |
404 | if (fNumberFit > 0) { | |
3a0f6479 | 405 | 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 | 406 | fStatisticMean = fStatisticMean / fNumberFit; |
407 | } | |
408 | else { | |
409 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
410 | } | |
3a0f6479 | 411 | delete fDebugStreamer; |
412 | fDebugStreamer = 0x0; | |
413 | ||
55a288e5 | 414 | return kTRUE; |
55a288e5 | 415 | } |
55a288e5 | 416 | //____________Functions fit Online CH2d________________________________________ |
3a0f6479 | 417 | Bool_t AliTRDCalibraFit::AnalyseCH(AliTRDCalibraVector *calvect) |
55a288e5 | 418 | { |
419 | // | |
420 | // Reconstruct a 1D histo from the vectorCH for each calibration group, | |
421 | // fit the histo, normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 422 | // |
423 | ||
3a0f6479 | 424 | // Set the calibraMode |
425 | const char *name = calvect->GetNameCH(); | |
426 | SetModeCalibration(name,0); | |
55a288e5 | 427 | |
3a0f6479 | 428 | // Number of Xbins (detectors or groups of pads) |
429 | if (!InitFit((432*calvect->GetDetCha0(0)+108*calvect->GetDetCha2(0)),0)) { | |
55a288e5 | 430 | return kFALSE; |
431 | } | |
3a0f6479 | 432 | if (!InitFitCH()) { |
55a288e5 | 433 | return kFALSE; |
434 | } | |
435 | fStatisticMean = 0.0; | |
436 | fNumberFit = 0; | |
437 | fNumberFitSuccess = 0; | |
438 | fNumberEnt = 0; | |
55a288e5 | 439 | // Init fCountDet and fCount |
440 | InitfCountDetAndfCount(0); | |
55a288e5 | 441 | // Beginning of the loop between dect1 and dect2 |
3a0f6479 | 442 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
443 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 444 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 445 | ReconstructFitRowMinRowMax(idect,0); |
3a0f6479 | 446 | // Take the histo |
55a288e5 | 447 | Double_t nentries = 0.0; |
448 | Double_t mean = 0.0; | |
3a0f6479 | 449 | TH1F *projch = 0x0; |
450 | Bool_t something = kTRUE; | |
451 | if(!calvect->GetCHEntries(fCountDet)) something = kFALSE; | |
452 | if(something){ | |
453 | TString name("CH"); | |
454 | name += idect; | |
455 | projch = calvect->ConvertVectorCHHisto(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0)))),(const char *) name); | |
456 | projch->SetDirectory(0); | |
457 | for (Int_t k = 0; k < calvect->GetNumberBinCharge(); k++) { | |
55a288e5 | 458 | nentries += projch->GetBinContent(k+1); |
459 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); | |
460 | } | |
3a0f6479 | 461 | if (nentries > 0) { |
462 | fNumberEnt++; | |
463 | mean /= nentries; | |
464 | } | |
465 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
466 | // Rebin | |
467 | if (fRebin > 1) { | |
468 | projch = ReBin((TH1F *) projch); | |
469 | } | |
55a288e5 | 470 | } |
55a288e5 | 471 | // This detector has not enough statistics or was not found in VectorCH |
3a0f6479 | 472 | if (nentries <= fMinEntries) { |
473 | NotEnoughStatisticCH(idect); | |
474 | if (fDebugLevel != 1) { | |
475 | if(projch) delete projch; | |
55a288e5 | 476 | } |
55a288e5 | 477 | continue; |
55a288e5 | 478 | } |
55a288e5 | 479 | // Statistic of the histos fitted |
55a288e5 | 480 | fStatisticMean += nentries; |
481 | fNumberFit++; | |
3a0f6479 | 482 | //Method choosen |
483 | switch(fMethod) | |
484 | { | |
485 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
486 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
487 | case 2: FitCH((TH1 *) projch, mean); break; | |
488 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
489 | default: return kFALSE; | |
490 | } | |
55a288e5 | 491 | // Fill Infos Fit |
3a0f6479 | 492 | FillInfosFitCH(idect); |
55a288e5 | 493 | // Memory!!! |
3a0f6479 | 494 | if (fDebugLevel != 1) { |
55a288e5 | 495 | delete projch; |
496 | } | |
55a288e5 | 497 | } // Boucle object |
55a288e5 | 498 | // Normierungcharge |
3a0f6479 | 499 | if (fDebugLevel != 1) { |
55a288e5 | 500 | NormierungCharge(); |
501 | } | |
55a288e5 | 502 | // Mean Statistics |
503 | if (fNumberFit > 0) { | |
3a0f6479 | 504 | 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 | 505 | fStatisticMean = fStatisticMean / fNumberFit; |
506 | } | |
507 | else { | |
508 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
509 | } | |
3a0f6479 | 510 | delete fDebugStreamer; |
511 | fDebugStreamer = 0x0; | |
55a288e5 | 512 | return kTRUE; |
55a288e5 | 513 | } |
3a0f6479 | 514 | //________________functions fit Online PH2d____________________________________ |
515 | Bool_t AliTRDCalibraFit::AnalysePH(TProfile2D *ph) | |
55a288e5 | 516 | { |
517 | // | |
3a0f6479 | 518 | // Take the 1D profiles (average pulse height), projections of the 2D PH |
519 | // on the Xaxis, for each calibration group | |
520 | // Reconstruct a drift velocity | |
521 | // A first calibration of T0 is also made using the same method | |
55a288e5 | 522 | // |
523 | ||
3a0f6479 | 524 | // Set the calibration mode |
525 | const char *name = ph->GetTitle(); | |
526 | SetModeCalibration(name,1); | |
527 | ||
528 | // Number of Xbins (detectors or groups of pads) | |
529 | Int_t nbins = ph->GetNbinsX();// time | |
530 | Int_t nybins = ph->GetNbinsY();// calibration group | |
531 | if (!InitFit(nybins,1)) { | |
55a288e5 | 532 | return kFALSE; |
533 | } | |
3a0f6479 | 534 | if (!InitFitPH()) { |
55a288e5 | 535 | return kFALSE; |
536 | } | |
537 | fStatisticMean = 0.0; | |
538 | fNumberFit = 0; | |
539 | fNumberFitSuccess = 0; | |
540 | fNumberEnt = 0; | |
55a288e5 | 541 | // Init fCountDet and fCount |
3a0f6479 | 542 | InitfCountDetAndfCount(1); |
543 | // Beginning of the loop | |
544 | for (Int_t idect = fDect1; idect < fDect2; idect++) { | |
545 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... | |
546 | UpdatefCountDetAndfCount(idect,1); | |
547 | ReconstructFitRowMinRowMax(idect,1); | |
548 | // Take the histo | |
549 | TH1D *projph = (TH1D *) ph->ProjectionX("projph",idect+1,idect+1,(Option_t *) "e"); | |
550 | projph->SetDirectory(0); | |
551 | // Number of entries for this calibration group | |
552 | Double_t nentries = 0; | |
553 | for (Int_t k = 0; k < nbins; k++) { | |
554 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
555 | nentries += ph->GetBinEntries(binnb); | |
55a288e5 | 556 | } |
55a288e5 | 557 | if (nentries > 0) { |
3a0f6479 | 558 | fNumberEnt++; |
559 | } | |
560 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
561 | // This detector has not enough statistics or was off | |
562 | if (nentries <= fMinEntries) { | |
563 | //printf("Not enough statistic!\n"); | |
564 | NotEnoughStatisticPH(idect); | |
565 | if (fDebugLevel != 1) { | |
566 | delete projph; | |
567 | } | |
55a288e5 | 568 | continue; |
55a288e5 | 569 | } |
3a0f6479 | 570 | // Statistics of the histos fitted |
55a288e5 | 571 | fNumberFit++; |
572 | fStatisticMean += nentries; | |
3a0f6479 | 573 | // Calcul of "real" coef |
574 | CalculVdriftCoefMean(); | |
575 | CalculT0CoefMean(); | |
576 | //Method choosen | |
577 | switch(fMethod) | |
578 | { | |
579 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
580 | case 1: FitPente((TH1 *) projph); break; | |
581 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
582 | default: return kFALSE; | |
583 | } | |
584 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
585 | FillInfosFitPH(idect); | |
586 | // Memory!!! | |
587 | if (fDebugLevel != 1) { | |
588 | delete projph; | |
55a288e5 | 589 | } |
55a288e5 | 590 | } // Boucle object |
55a288e5 | 591 | // Mean Statistic |
592 | if (fNumberFit > 0) { | |
3a0f6479 | 593 | 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 | 594 | fStatisticMean = fStatisticMean / fNumberFit; |
595 | } | |
596 | else { | |
597 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
598 | } | |
3a0f6479 | 599 | delete fDebugStreamer; |
600 | fDebugStreamer = 0x0; | |
55a288e5 | 601 | return kTRUE; |
55a288e5 | 602 | } |
3a0f6479 | 603 | //____________Functions fit Online PH2d________________________________________ |
604 | Bool_t AliTRDCalibraFit::AnalysePH(AliTRDCalibraVector *calvect) | |
55a288e5 | 605 | { |
606 | // | |
3a0f6479 | 607 | // Reconstruct the average pulse height from the vectorPH for each |
608 | // calibration group | |
609 | // Reconstruct a drift velocity | |
55a288e5 | 610 | // A first calibration of T0 is also made using the same method (slope method) |
611 | // | |
612 | ||
3a0f6479 | 613 | // Set the calibration mode |
614 | const char *name = calvect->GetNamePH(); | |
615 | SetModeCalibration(name,1); | |
616 | ||
617 | // Number of Xbins (detectors or groups of pads) | |
618 | if (!InitFit((432*calvect->GetDetCha0(1)+108*calvect->GetDetCha2(1)),1)) { | |
55a288e5 | 619 | return kFALSE; |
620 | } | |
3a0f6479 | 621 | if (!InitFitPH()) { |
55a288e5 | 622 | return kFALSE; |
623 | } | |
624 | fStatisticMean = 0.0; | |
625 | fNumberFit = 0; | |
626 | fNumberFitSuccess = 0; | |
627 | fNumberEnt = 0; | |
55a288e5 | 628 | // Init fCountDet and fCount |
629 | InitfCountDetAndfCount(1); | |
55a288e5 | 630 | // Beginning of the loop |
3a0f6479 | 631 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
632 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 633 | UpdatefCountDetAndfCount(idect,1); |
55a288e5 | 634 | ReconstructFitRowMinRowMax(idect,1); |
3a0f6479 | 635 | // Take the histo |
636 | TH1F *projph = 0x0; | |
637 | fEntriesCurrent = 0; | |
638 | Bool_t something = kTRUE; | |
639 | if(!calvect->GetPHEntries(fCountDet)) something = kFALSE; | |
640 | if(something){ | |
641 | TString name("PH"); | |
642 | name += idect; | |
643 | projph = CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPHTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) name))); | |
644 | projph->SetDirectory(0); | |
645 | } | |
646 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); | |
55a288e5 | 647 | // This detector has not enough statistics or was off |
3a0f6479 | 648 | if (fEntriesCurrent <= fMinEntries) { |
649 | //printf("Not enough stat!\n"); | |
650 | NotEnoughStatisticPH(idect); | |
651 | if (fDebugLevel != 1) { | |
652 | if(projph) delete projph; | |
55a288e5 | 653 | } |
55a288e5 | 654 | continue; |
55a288e5 | 655 | } |
3a0f6479 | 656 | // Statistic of the histos fitted |
55a288e5 | 657 | fNumberFit++; |
3a0f6479 | 658 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 659 | // Calcul of "real" coef |
3a0f6479 | 660 | CalculVdriftCoefMean(); |
661 | CalculT0CoefMean(); | |
662 | //Method choosen | |
663 | switch(fMethod) | |
664 | { | |
665 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
666 | case 1: FitPente((TH1 *) projph); break; | |
667 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
668 | default: return kFALSE; | |
669 | } | |
55a288e5 | 670 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 671 | FillInfosFitPH(idect); |
55a288e5 | 672 | // Memory!!! |
3a0f6479 | 673 | if (fDebugLevel != 1) { |
55a288e5 | 674 | delete projph; |
675 | } | |
55a288e5 | 676 | } // Boucle object |
3a0f6479 | 677 | |
55a288e5 | 678 | // Mean Statistic |
679 | if (fNumberFit > 0) { | |
3a0f6479 | 680 | 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 | 681 | fStatisticMean = fStatisticMean / fNumberFit; |
682 | } | |
683 | else { | |
684 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
685 | } | |
3a0f6479 | 686 | delete fDebugStreamer; |
687 | fDebugStreamer = 0x0; | |
55a288e5 | 688 | return kTRUE; |
55a288e5 | 689 | } |
3a0f6479 | 690 | //____________Functions fit Online PRF2d_______________________________________ |
691 | Bool_t AliTRDCalibraFit::AnalysePRF(TProfile2D *prf) | |
55a288e5 | 692 | { |
693 | // | |
3a0f6479 | 694 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
695 | // on the Xaxis, for each calibration group | |
696 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 697 | // |
698 | ||
3a0f6479 | 699 | // Set the calibration mode |
700 | const char *name = prf->GetTitle(); | |
701 | SetModeCalibration(name,2); | |
55a288e5 | 702 | |
3a0f6479 | 703 | // Number of Ybins (detectors or groups of pads) |
704 | Int_t nybins = prf->GetNbinsY();// calibration groups | |
705 | Int_t nbins = prf->GetNbinsX();// bins | |
706 | Int_t nbg = GetNumberOfGroupsPRF((const char *)prf->GetTitle()); | |
707 | if((nbg > 0) || (nbg == -1)) return kFALSE; | |
708 | if (!InitFit(nybins,2)) { | |
55a288e5 | 709 | return kFALSE; |
710 | } | |
3a0f6479 | 711 | if (!InitFitPRF()) { |
55a288e5 | 712 | return kFALSE; |
713 | } | |
714 | fStatisticMean = 0.0; | |
715 | fNumberFit = 0; | |
716 | fNumberFitSuccess = 0; | |
717 | fNumberEnt = 0; | |
55a288e5 | 718 | // Init fCountDet and fCount |
3a0f6479 | 719 | InitfCountDetAndfCount(2); |
55a288e5 | 720 | // Beginning of the loop |
3a0f6479 | 721 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
722 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
723 | UpdatefCountDetAndfCount(idect,2); | |
724 | ReconstructFitRowMinRowMax(idect,2); | |
725 | // Take the histo | |
726 | TH1D *projprf = (TH1D *) prf->ProjectionX("projprf",idect+1,idect+1,(Option_t *) "e"); | |
727 | projprf->SetDirectory(0); | |
728 | // Number of entries for this calibration group | |
729 | Double_t nentries = 0; | |
730 | for (Int_t k = 0; k < nbins; k++) { | |
731 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
732 | nentries += prf->GetBinEntries(binnb); | |
55a288e5 | 733 | } |
3a0f6479 | 734 | if(nentries > 0) fNumberEnt++; |
55a288e5 | 735 | // This detector has not enough statistics or was off |
3a0f6479 | 736 | if (nentries <= fMinEntries) { |
737 | NotEnoughStatisticPRF(idect); | |
738 | if (fDebugLevel != 1) { | |
739 | delete projprf; | |
55a288e5 | 740 | } |
55a288e5 | 741 | continue; |
55a288e5 | 742 | } |
3a0f6479 | 743 | // Statistics of the histos fitted |
55a288e5 | 744 | fNumberFit++; |
3a0f6479 | 745 | fStatisticMean += nentries; |
55a288e5 | 746 | // Calcul of "real" coef |
3a0f6479 | 747 | CalculPRFCoefMean(); |
748 | //Method choosen | |
749 | switch(fMethod) | |
750 | { | |
751 | case 0: FitPRF((TH1 *) projprf); break; | |
752 | case 1: RmsPRF((TH1 *) projprf); break; | |
753 | default: return kFALSE; | |
754 | } | |
55a288e5 | 755 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 756 | FillInfosFitPRF(idect); |
55a288e5 | 757 | // Memory!!! |
3a0f6479 | 758 | if (fDebugLevel != 1) { |
759 | delete projprf; | |
55a288e5 | 760 | } |
55a288e5 | 761 | } // Boucle object |
55a288e5 | 762 | // Mean Statistic |
763 | if (fNumberFit > 0) { | |
764 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
765 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
766 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
767 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
768 | fStatisticMean = fStatisticMean / fNumberFit; | |
769 | } | |
770 | else { | |
771 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
772 | } | |
3a0f6479 | 773 | delete fDebugStreamer; |
774 | fDebugStreamer = 0x0; | |
55a288e5 | 775 | return kTRUE; |
55a288e5 | 776 | } |
3a0f6479 | 777 | //____________Functions fit Online PRF2d_______________________________________ |
778 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(TProfile2D *prf) | |
55a288e5 | 779 | { |
780 | // | |
3a0f6479 | 781 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
782 | // on the Xaxis, for each calibration group | |
783 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 784 | // |
3a0f6479 | 785 | |
786 | // Set the calibration mode | |
787 | const char *name = prf->GetTitle(); | |
788 | SetModeCalibration(name,2); | |
789 | ||
790 | // Number of Ybins (detectors or groups of pads) | |
791 | TAxis *xprf = prf->GetXaxis(); | |
792 | TAxis *yprf = prf->GetYaxis(); | |
793 | Int_t nybins = yprf->GetNbins();// calibration groups | |
794 | Int_t nbins = xprf->GetNbins();// bins | |
795 | Float_t lowedge = (Float_t) xprf->GetBinLowEdge(1);//lowedge in bins | |
796 | Float_t upedge = (Float_t) xprf->GetBinUpEdge(nbins);//upedge in bins | |
797 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
798 | if(nbg == -1) return kFALSE; | |
799 | if(nbg > 0) fMethod = 1; | |
800 | else fMethod = 0; | |
801 | if (!InitFit(nybins,2)) { | |
55a288e5 | 802 | return kFALSE; |
803 | } | |
3a0f6479 | 804 | if (!InitFitPRF()) { |
55a288e5 | 805 | return kFALSE; |
806 | } | |
807 | fStatisticMean = 0.0; | |
3a0f6479 | 808 | fNumberFit = 0; |
55a288e5 | 809 | fNumberFitSuccess = 0; |
810 | fNumberEnt = 0; | |
55a288e5 | 811 | // Init fCountDet and fCount |
3a0f6479 | 812 | InitfCountDetAndfCount(2); |
55a288e5 | 813 | // Beginning of the loop |
3a0f6479 | 814 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
815 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... | |
816 | UpdatefCountDetAndfCount(idect,2); | |
817 | ReconstructFitRowMinRowMax(idect,2); | |
818 | // Build the array of entries and sum | |
819 | TArrayD arraye = TArrayD(nbins); | |
820 | TArrayD arraym = TArrayD(nbins); | |
821 | TArrayD arrayme = TArrayD(nbins); | |
822 | Double_t nentries = 0; | |
823 | //printf("nbins %d\n",nbins); | |
824 | for (Int_t k = 0; k < nbins; k++) { | |
825 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
826 | Double_t entries = (Double_t)prf->GetBinEntries(binnb); | |
827 | Double_t mean = (Double_t)prf->GetBinContent(binnb); | |
828 | Double_t error = (Double_t)prf->GetBinError(binnb); | |
829 | //printf("for %d we have %f\n",k,entries); | |
830 | nentries += entries; | |
831 | arraye.AddAt(entries,k); | |
832 | arraym.AddAt(mean,k); | |
833 | arrayme.AddAt(error,k); | |
55a288e5 | 834 | } |
3a0f6479 | 835 | if(nentries > 0) fNumberEnt++; |
836 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 837 | // This detector has not enough statistics or was off |
3a0f6479 | 838 | if (nentries <= fMinEntries) { |
839 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 840 | continue; |
55a288e5 | 841 | } |
55a288e5 | 842 | // Statistics of the histos fitted |
55a288e5 | 843 | fNumberFit++; |
3a0f6479 | 844 | fStatisticMean += nentries; |
55a288e5 | 845 | // Calcul of "real" coef |
3a0f6479 | 846 | CalculPRFCoefMean(); |
847 | //Method choosen | |
848 | switch(fMethod) | |
849 | { | |
850 | case 0: FitPRFGausMI( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbins, lowedge, upedge); break; | |
851 | case 1: FitTnpRange( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbg, nbins); break; | |
852 | default: return kFALSE; | |
853 | } | |
55a288e5 | 854 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 855 | FillInfosFitPRF(idect); |
55a288e5 | 856 | } // Boucle object |
3a0f6479 | 857 | // Mean Statistic |
55a288e5 | 858 | if (fNumberFit > 0) { |
859 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
860 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
861 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
862 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
863 | fStatisticMean = fStatisticMean / fNumberFit; | |
864 | } | |
865 | else { | |
866 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
867 | } | |
3a0f6479 | 868 | delete fDebugStreamer; |
869 | fDebugStreamer = 0x0; | |
55a288e5 | 870 | return kTRUE; |
55a288e5 | 871 | } |
55a288e5 | 872 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 873 | Bool_t AliTRDCalibraFit::AnalysePRF(AliTRDCalibraVector *calvect) |
55a288e5 | 874 | { |
875 | // | |
3a0f6479 | 876 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for |
877 | // each calibration group | |
55a288e5 | 878 | // Fit with a gaussian to reconstruct the sigma of the pad response function |
55a288e5 | 879 | // |
880 | ||
3a0f6479 | 881 | // Set the calibra mode |
882 | const char *name = calvect->GetNamePRF(); | |
883 | SetModeCalibration(name,2); | |
884 | //printf("test0 %s\n",name); | |
55a288e5 | 885 | |
886 | // Number of Xbins (detectors or groups of pads) | |
3a0f6479 | 887 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { |
888 | //printf("test1\n"); | |
889 | return kFALSE; | |
890 | } | |
891 | if (!InitFitPRF()) { | |
892 | ///printf("test2\n"); | |
55a288e5 | 893 | return kFALSE; |
894 | } | |
895 | fStatisticMean = 0.0; | |
896 | fNumberFit = 0; | |
897 | fNumberFitSuccess = 0; | |
898 | fNumberEnt = 0; | |
55a288e5 | 899 | // Init fCountDet and fCount |
900 | InitfCountDetAndfCount(2); | |
55a288e5 | 901 | // Beginning of the loop |
3a0f6479 | 902 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
903 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........ | |
55a288e5 | 904 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 905 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 906 | // Take the histo |
907 | TH1F *projprf = 0x0; | |
908 | fEntriesCurrent = 0; | |
909 | Bool_t something = kTRUE; | |
910 | if(!calvect->GetPRFEntries(fCountDet)) something = kFALSE; | |
911 | if(something){ | |
912 | TString name("PRF"); | |
913 | name += idect; | |
914 | projprf = CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) name))); | |
915 | projprf->SetDirectory(0); | |
916 | } | |
55a288e5 | 917 | // This detector has not enough statistics or was off |
3a0f6479 | 918 | if (fEntriesCurrent <= fMinEntries) { |
919 | NotEnoughStatisticPRF(idect); | |
920 | if (fDebugLevel != 1) { | |
921 | if(projprf) delete projprf; | |
55a288e5 | 922 | } |
55a288e5 | 923 | continue; |
55a288e5 | 924 | } |
3a0f6479 | 925 | // Statistic of the histos fitted |
55a288e5 | 926 | fNumberFit++; |
3a0f6479 | 927 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 928 | // Calcul of "real" coef |
3a0f6479 | 929 | CalculPRFCoefMean(); |
930 | //Method choosen | |
931 | switch(fMethod) | |
932 | { | |
933 | case 1: FitPRF((TH1 *) projprf); break; | |
934 | case 2: RmsPRF((TH1 *) projprf); break; | |
935 | default: return kFALSE; | |
936 | } | |
55a288e5 | 937 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 938 | FillInfosFitPRF(idect); |
55a288e5 | 939 | // Memory!!! |
3a0f6479 | 940 | if (fDebugLevel != 1) { |
55a288e5 | 941 | delete projprf; |
942 | } | |
55a288e5 | 943 | } // Boucle object |
3a0f6479 | 944 | // Mean Statistics |
55a288e5 | 945 | if (fNumberFit > 0) { |
3a0f6479 | 946 | 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 | 947 | } |
948 | else { | |
949 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
950 | } | |
3a0f6479 | 951 | delete fDebugStreamer; |
952 | fDebugStreamer = 0x0; | |
55a288e5 | 953 | return kTRUE; |
55a288e5 | 954 | } |
55a288e5 | 955 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 956 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(AliTRDCalibraVector *calvect) |
55a288e5 | 957 | { |
958 | // | |
959 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for | |
960 | // each calibration group | |
961 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 962 | // |
963 | ||
3a0f6479 | 964 | // Set the calibra mode |
965 | const char *name = calvect->GetNamePRF(); | |
966 | SetModeCalibration(name,2); | |
967 | //printf("test0 %s\n",name); | |
968 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
969 | printf("test1 %d\n",nbg); | |
970 | if(nbg == -1) return kFALSE; | |
971 | if(nbg > 0) fMethod = 1; | |
972 | else fMethod = 0; | |
973 | // Number of Xbins (detectors or groups of pads) | |
974 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { | |
975 | //printf("test2\n"); | |
55a288e5 | 976 | return kFALSE; |
977 | } | |
3a0f6479 | 978 | if (!InitFitPRF()) { |
979 | //printf("test3\n"); | |
55a288e5 | 980 | return kFALSE; |
981 | } | |
982 | fStatisticMean = 0.0; | |
983 | fNumberFit = 0; | |
984 | fNumberFitSuccess = 0; | |
985 | fNumberEnt = 0; | |
3a0f6479 | 986 | // Variables |
987 | Int_t nbins = 0; | |
988 | Double_t *arrayx = 0; | |
989 | Double_t *arraye = 0; | |
990 | Double_t *arraym = 0; | |
991 | Double_t *arrayme = 0; | |
992 | Float_t lowedge = 0.0; | |
993 | Float_t upedge = 0.0; | |
55a288e5 | 994 | // Init fCountDet and fCount |
995 | InitfCountDetAndfCount(2); | |
55a288e5 | 996 | // Beginning of the loop |
3a0f6479 | 997 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
998 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
55a288e5 | 999 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 1000 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 1001 | // Take the histo |
1002 | TGraphErrors *projprftree = 0x0; | |
1003 | fEntriesCurrent = 0; | |
1004 | Bool_t something = kTRUE; | |
1005 | if(!calvect->GetPRFEntries(fCountDet)) something = kFALSE; | |
1006 | if(something){ | |
1007 | TString name("PRF"); | |
1008 | name += idect; | |
1009 | projprftree = calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) name); | |
1010 | nbins = projprftree->GetN(); | |
1011 | arrayx = (Double_t *)projprftree->GetX(); | |
1012 | arraye = (Double_t *)projprftree->GetEX(); | |
1013 | arraym = (Double_t *)projprftree->GetY(); | |
1014 | arrayme = (Double_t *)projprftree->GetEY(); | |
1015 | Float_t step = arrayx[1]-arrayx[0]; | |
1016 | lowedge = arrayx[0] - step/2.0; | |
1017 | upedge = arrayx[(nbins-1)] + step/2.0; | |
1018 | //printf("nbins est %d\n",nbins); | |
1019 | for(Int_t k = 0; k < nbins; k++){ | |
1020 | fEntriesCurrent += (Int_t)arraye[k]; | |
1021 | //printf("for %d we have %f, %f\n",k,arraye[k],((projprftree->GetEX())[k])); | |
1022 | if(arraye[k]>0.0) arrayme[k] = TMath::Sqrt(TMath::Abs(arrayme[k]-arraym[k]*arraym[k])/arraye[k]); | |
55a288e5 | 1023 | } |
3a0f6479 | 1024 | if(fEntriesCurrent > 0) fNumberEnt++; |
1025 | } | |
1026 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); | |
1027 | // This detector has not enough statistics or was off | |
1028 | if (fEntriesCurrent <= fMinEntries) { | |
1029 | NotEnoughStatisticPRF(idect); | |
1030 | if(projprftree) delete projprftree; | |
55a288e5 | 1031 | continue; |
55a288e5 | 1032 | } |
55a288e5 | 1033 | // Statistic of the histos fitted |
55a288e5 | 1034 | fNumberFit++; |
1035 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1036 | // Calcul of "real" coef |
3a0f6479 | 1037 | CalculPRFCoefMean(); |
1038 | //Method choosen | |
1039 | switch(fMethod) | |
1040 | { | |
1041 | case 0: FitPRFGausMI(arraye,arraym,arrayme,nbins,lowedge,upedge); break; | |
1042 | case 1: FitTnpRange(arraye,arraym,arrayme,nbg,nbins); break; | |
1043 | default: return kFALSE; | |
1044 | } | |
55a288e5 | 1045 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 1046 | FillInfosFitPRF(idect); |
55a288e5 | 1047 | // Memory!!! |
3a0f6479 | 1048 | if (fDebugLevel != 1) { |
1049 | delete projprftree; | |
55a288e5 | 1050 | } |
55a288e5 | 1051 | } // Boucle object |
55a288e5 | 1052 | // Mean Statistics |
1053 | if (fNumberFit > 0) { | |
3a0f6479 | 1054 | 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 | 1055 | } |
1056 | else { | |
1057 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1058 | } | |
3a0f6479 | 1059 | delete fDebugStreamer; |
1060 | fDebugStreamer = 0x0; | |
55a288e5 | 1061 | return kTRUE; |
55a288e5 | 1062 | } |
3a0f6479 | 1063 | //____________Functions fit Online CH2d________________________________________ |
1064 | Bool_t AliTRDCalibraFit::AnalyseLinearFitters(AliTRDCalibraVdriftLinearFit *calivdli) | |
55a288e5 | 1065 | { |
1066 | // | |
3a0f6479 | 1067 | // The linear method |
55a288e5 | 1068 | // |
1069 | ||
55a288e5 | 1070 | fStatisticMean = 0.0; |
1071 | fNumberFit = 0; | |
1072 | fNumberFitSuccess = 0; | |
1073 | fNumberEnt = 0; | |
3a0f6479 | 1074 | if(!InitFitLinearFitter()) return kFALSE; |
55a288e5 | 1075 | |
3a0f6479 | 1076 | |
1077 | for(Int_t idet = 0; idet < 540; idet++){ | |
55a288e5 | 1078 | |
55a288e5 | 1079 | |
3a0f6479 | 1080 | //printf("detector number %d\n",idet); |
55a288e5 | 1081 | |
3a0f6479 | 1082 | // Take the result |
1083 | TVectorD param(2); | |
1084 | TVectorD error(3); | |
1085 | fEntriesCurrent = 0; | |
1086 | fCountDet = idet; | |
1087 | Bool_t here = calivdli->GetParam(idet,¶m); | |
1088 | Bool_t heree = calivdli->GetError(idet,&error); | |
1089 | //printf("here %d and heree %d\n",here, heree); | |
1090 | if(heree) { | |
1091 | fEntriesCurrent = (Int_t) error[2]; | |
55a288e5 | 1092 | fNumberEnt++; |
55a288e5 | 1093 | } |
3a0f6479 | 1094 | //printf("Number of entries %d\n",fEntriesCurrent); |
1095 | // Nothing found or not enough statistic | |
1096 | if((!heree) || (!here) || (fEntriesCurrent <= fMinEntries)) { | |
1097 | NotEnoughStatisticLinearFitter(); | |
1098 | continue; | |
1099 | } | |
1100 | //param.Print(); | |
1101 | //error.Print(); | |
1102 | //Statistics | |
1103 | fNumberFit++; | |
1104 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1105 | |
3a0f6479 | 1106 | // Check the fit |
1107 | if((-(param[1])) <= 0.0) { | |
1108 | NotEnoughStatisticLinearFitter(); | |
1109 | continue; | |
1110 | } | |
55a288e5 | 1111 | |
3a0f6479 | 1112 | // CalculDatabaseVdriftandTan |
1113 | CalculVdriftLorentzCoef(); | |
55a288e5 | 1114 | |
3a0f6479 | 1115 | // Statistics |
1116 | fNumberFitSuccess ++; | |
55a288e5 | 1117 | |
3a0f6479 | 1118 | // Put the fCurrentCoef |
1119 | fCurrentCoef[0] = -param[1]; | |
1120 | // here the database must be the one of the reconstruction for the lorentz angle.... | |
1121 | fCurrentCoef2[0] = (param[0]+fCurrentCoef[1]*fCurrentCoef2[1])/fCurrentCoef[0]; | |
1122 | fCurrentCoefE = error[1]; | |
1123 | fCurrentCoefE2 = error[0]; | |
1124 | if((fCurrentCoef2[0] != 0.0) && (param[0] != 0.0)){ | |
1125 | fCurrentCoefE2 = (fCurrentCoefE2/param[0]+fCurrentCoefE/fCurrentCoef[0])*fCurrentCoef2[0]; | |
1126 | } | |
55a288e5 | 1127 | |
3a0f6479 | 1128 | // Fill |
1129 | FillInfosFitLinearFitter(); | |
55a288e5 | 1130 | |
55a288e5 | 1131 | |
55a288e5 | 1132 | } |
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; |
1143 | ||
1144 | } | |
55a288e5 | 1145 | //____________Functions for seeing if the pad is really okey___________________ |
3a0f6479 | 1146 | //_____________________________________________________________________________ |
1147 | Int_t AliTRDCalibraFit::GetNumberOfGroupsPRF(const char* nametitle) | |
1148 | { | |
1149 | // | |
1150 | // Get numberofgroupsprf | |
1151 | // | |
1152 | ||
1153 | // Some patterns | |
1154 | const Char_t *pattern0 = "Ngp0"; | |
1155 | const Char_t *pattern1 = "Ngp1"; | |
1156 | const Char_t *pattern2 = "Ngp2"; | |
1157 | const Char_t *pattern3 = "Ngp3"; | |
1158 | const Char_t *pattern4 = "Ngp4"; | |
1159 | const Char_t *pattern5 = "Ngp5"; | |
1160 | const Char_t *pattern6 = "Ngp6"; | |
1161 | ||
1162 | // Nrphi mode | |
1163 | if (strstr(nametitle,pattern0)) { | |
1164 | return 0; | |
1165 | } | |
1166 | if (strstr(nametitle,pattern1)) { | |
1167 | return 1; | |
1168 | } | |
1169 | if (strstr(nametitle,pattern2)) { | |
1170 | return 2; | |
1171 | } | |
1172 | if (strstr(nametitle,pattern3)) { | |
1173 | return 3; | |
1174 | } | |
1175 | if (strstr(nametitle,pattern4)) { | |
1176 | return 4; | |
1177 | } | |
1178 | if (strstr(nametitle,pattern5)) { | |
1179 | return 5; | |
1180 | } | |
1181 | if (strstr(nametitle,pattern6)){ | |
1182 | return 6; | |
1183 | } | |
1184 | else return -1; | |
1185 | ||
55a288e5 | 1186 | |
3a0f6479 | 1187 | } |
55a288e5 | 1188 | //_____________________________________________________________________________ |
3a0f6479 | 1189 | Bool_t AliTRDCalibraFit::SetModeCalibration(const char *name, Int_t i) |
55a288e5 | 1190 | { |
1191 | // | |
1192 | // Set fNz[i] and fNrphi[i] of the AliTRDCalibraFit::Instance() | |
3a0f6479 | 1193 | // corresponding to the given name |
55a288e5 | 1194 | // |
1195 | ||
3a0f6479 | 1196 | if(!SetNzFromTObject(name,i)) return kFALSE; |
1197 | if(!SetNrphiFromTObject(name,i)) return kFALSE; | |
1198 | ||
1199 | return kTRUE; | |
55a288e5 | 1200 | |
3a0f6479 | 1201 | } |
1202 | //_____________________________________________________________________________ | |
1203 | Bool_t AliTRDCalibraFit::SetNrphiFromTObject(const char *name, Int_t i) | |
1204 | { | |
1205 | // | |
1206 | // Set fNrphi[i] of the AliTRDCalibraFit::Instance() | |
1207 | // corresponding to the given TObject | |
1208 | // | |
1209 | ||
55a288e5 | 1210 | // Some patterns |
55a288e5 | 1211 | const Char_t *patternrphi0 = "Nrphi0"; |
1212 | const Char_t *patternrphi1 = "Nrphi1"; | |
1213 | const Char_t *patternrphi2 = "Nrphi2"; | |
1214 | const Char_t *patternrphi3 = "Nrphi3"; | |
1215 | const Char_t *patternrphi4 = "Nrphi4"; | |
1216 | const Char_t *patternrphi5 = "Nrphi5"; | |
1217 | const Char_t *patternrphi6 = "Nrphi6"; | |
1218 | ||
55a288e5 | 1219 | // Nrphi mode |
3a0f6479 | 1220 | if (strstr(name,patternrphi0)) { |
55a288e5 | 1221 | fCalibraMode->SetNrphi(i ,0); |
3a0f6479 | 1222 | return kTRUE; |
55a288e5 | 1223 | } |
3a0f6479 | 1224 | if (strstr(name,patternrphi1)) { |
55a288e5 | 1225 | fCalibraMode->SetNrphi(i, 1); |
3a0f6479 | 1226 | return kTRUE; |
55a288e5 | 1227 | } |
3a0f6479 | 1228 | if (strstr(name,patternrphi2)) { |
55a288e5 | 1229 | fCalibraMode->SetNrphi(i, 2); |
3a0f6479 | 1230 | return kTRUE; |
55a288e5 | 1231 | } |
3a0f6479 | 1232 | if (strstr(name,patternrphi3)) { |
55a288e5 | 1233 | fCalibraMode->SetNrphi(i, 3); |
3a0f6479 | 1234 | return kTRUE; |
55a288e5 | 1235 | } |
3a0f6479 | 1236 | if (strstr(name,patternrphi4)) { |
55a288e5 | 1237 | fCalibraMode->SetNrphi(i, 4); |
3a0f6479 | 1238 | return kTRUE; |
55a288e5 | 1239 | } |
3a0f6479 | 1240 | if (strstr(name,patternrphi5)) { |
55a288e5 | 1241 | fCalibraMode->SetNrphi(i, 5); |
3a0f6479 | 1242 | return kTRUE; |
55a288e5 | 1243 | } |
3a0f6479 | 1244 | if (strstr(name,patternrphi6)) { |
55a288e5 | 1245 | fCalibraMode->SetNrphi(i, 6); |
55a288e5 | 1246 | return kTRUE; |
1247 | } | |
55a288e5 | 1248 | |
3a0f6479 | 1249 | fCalibraMode->SetNrphi(i ,0); |
1250 | return kFALSE; | |
1251 | ||
55a288e5 | 1252 | } |
55a288e5 | 1253 | //_____________________________________________________________________________ |
3a0f6479 | 1254 | Bool_t AliTRDCalibraFit::SetNzFromTObject(const char *name, Int_t i) |
55a288e5 | 1255 | { |
1256 | // | |
3a0f6479 | 1257 | // Set fNz[i] of the AliTRDCalibraFit::Instance() |
1258 | // corresponding to the given TObject | |
55a288e5 | 1259 | // |
3a0f6479 | 1260 | |
1261 | // Some patterns | |
1262 | const Char_t *patternz0 = "Nz0"; | |
1263 | const Char_t *patternz1 = "Nz1"; | |
1264 | const Char_t *patternz2 = "Nz2"; | |
1265 | const Char_t *patternz3 = "Nz3"; | |
1266 | const Char_t *patternz4 = "Nz4"; | |
55a288e5 | 1267 | |
3a0f6479 | 1268 | if (strstr(name,patternz0)) { |
1269 | fCalibraMode->SetNz(i, 0); | |
1270 | return kTRUE; | |
55a288e5 | 1271 | } |
3a0f6479 | 1272 | if (strstr(name,patternz1)) { |
1273 | fCalibraMode->SetNz(i ,1); | |
1274 | return kTRUE; | |
55a288e5 | 1275 | } |
3a0f6479 | 1276 | if (strstr(name,patternz2)) { |
1277 | fCalibraMode->SetNz(i ,2); | |
1278 | return kTRUE; | |
55a288e5 | 1279 | } |
3a0f6479 | 1280 | if (strstr(name,patternz3)) { |
1281 | fCalibraMode->SetNz(i ,3); | |
1282 | return kTRUE; | |
55a288e5 | 1283 | } |
3a0f6479 | 1284 | if (strstr(name,patternz4)) { |
1285 | fCalibraMode->SetNz(i ,4); | |
1286 | return kTRUE; | |
55a288e5 | 1287 | } |
3a0f6479 | 1288 | |
1289 | fCalibraMode->SetNz(i ,0); | |
1290 | return kFALSE; | |
1291 | } | |
1292 | //_____________________________________________________________________________ | |
1293 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectVdrift(TObjArray *vectorFit, Bool_t perdetector) | |
1294 | { | |
1295 | // | |
1296 | // It creates the AliTRDCalDet object from the AliTRDFitInfo | |
1297 | // It takes the mean value of the coefficients per detector | |
1298 | // This object has to be written in the database | |
1299 | // | |
55a288e5 | 1300 | |
3a0f6479 | 1301 | // Create the DetObject |
1302 | AliTRDCalDet *object = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
1303 | ||
1304 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1305 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1306 | Int_t detector = -1; | |
1307 | Float_t value = 0.0; | |
1308 | ||
1309 | for (Int_t k = 0; k < loop; k++) { | |
1310 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1311 | Float_t mean = 0.0; | |
1312 | if(perdetector){ | |
1313 | mean = TMath::Abs(((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]); | |
55a288e5 | 1314 | } |
1315 | else { | |
3a0f6479 | 1316 | Int_t count = 0; |
1317 | Int_t rowMax = fGeo->GetRowMax(GetPlane(detector),GetChamber(detector),GetSector(detector)); | |
1318 | Int_t colMax = fGeo->GetColMax(GetPlane(detector)); | |
1319 | for (Int_t row = 0; row < rowMax; row++) { | |
1320 | for (Int_t col = 0; col < colMax; col++) { | |
1321 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1322 | mean += TMath::Abs(value); | |
1323 | count++; | |
1324 | } // Col | |
1325 | } // Row | |
1326 | if(count > 0) mean = mean/count; | |
55a288e5 | 1327 | } |
1328 | object->SetValue(detector,mean); | |
1329 | } | |
3a0f6479 | 1330 | |
55a288e5 | 1331 | return object; |
55a288e5 | 1332 | } |
55a288e5 | 1333 | //_____________________________________________________________________________ |
3a0f6479 | 1334 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectGain(TObjArray *vectorFit, Double_t scaleFitFactor, Bool_t perdetector) |
55a288e5 | 1335 | { |
1336 | // | |
3a0f6479 | 1337 | // It creates the AliTRDCalDet object from the AliTRDFitInfo |
1338 | // It takes the mean value of the coefficients per detector | |
55a288e5 | 1339 | // This object has to be written in the database |
1340 | // | |
1341 | ||
1342 | // Create the DetObject | |
3a0f6479 | 1343 | AliTRDCalDet *object = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); |
55a288e5 | 1344 | |
3a0f6479 | 1345 | |
1346 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1347 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1348 | Int_t detector = -1; | |
1349 | Float_t value = 0.0; | |
1350 | ||
1351 | for (Int_t k = 0; k < loop; k++) { | |
1352 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1353 | Float_t mean = 0.0; | |
1354 | if(perdetector){ | |
1355 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
1356 | if(value > 0) value = value*scaleFitFactor; | |
1357 | mean = TMath::Abs(value); | |
1358 | } | |
1359 | else{ | |
1360 | Int_t count = 0; | |
1361 | Int_t rowMax = fGeo->GetRowMax(GetPlane(detector),GetChamber(detector),GetSector(detector)); | |
1362 | Int_t colMax = fGeo->GetColMax(GetPlane(detector)); | |
1363 | for (Int_t row = 0; row < rowMax; row++) { | |
1364 | for (Int_t col = 0; col < colMax; col++) { | |
1365 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1366 | if(value > 0) value = value*scaleFitFactor; | |
1367 | mean += TMath::Abs(value); | |
1368 | count++; | |
1369 | } // Col | |
1370 | } // Row | |
1371 | if(count > 0) mean = mean/count; | |
1372 | } | |
1373 | object->SetValue(detector,mean); | |
55a288e5 | 1374 | } |
3a0f6479 | 1375 | |
1376 | return object; | |
1377 | } | |
1378 | //_____________________________________________________________________________ | |
1379 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectT0(TObjArray *vectorFit, Bool_t perdetector) | |
1380 | { | |
1381 | // | |
1382 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 | |
1383 | // It takes the min value of the coefficients per detector | |
1384 | // This object has to be written in the database | |
1385 | // | |
55a288e5 | 1386 | |
3a0f6479 | 1387 | // Create the DetObject |
1388 | AliTRDCalDet *object = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
55a288e5 | 1389 | |
3a0f6479 | 1390 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); |
1391 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1392 | Int_t detector = -1; | |
1393 | Float_t value = 0.0; | |
1394 | ||
1395 | for (Int_t k = 0; k < loop; k++) { | |
1396 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1397 | Float_t min = 100.0; | |
1398 | if(perdetector){ | |
1399 | min = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
55a288e5 | 1400 | } |
3a0f6479 | 1401 | else{ |
1402 | Int_t rowMax = fGeo->GetRowMax(GetPlane(detector),GetChamber(detector),GetSector(detector)); | |
1403 | Int_t colMax = fGeo->GetColMax(GetPlane(detector)); | |
1404 | for (Int_t row = 0; row < rowMax; row++) { | |
1405 | for (Int_t col = 0; col < colMax; col++) { | |
1406 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1407 | if(min > value) min = value; | |
1408 | } // Col | |
1409 | } // Row | |
1410 | } | |
1411 | object->SetValue(detector,min); | |
55a288e5 | 1412 | } |
1413 | ||
1414 | return object; | |
1415 | ||
1416 | } | |
55a288e5 | 1417 | //_____________________________________________________________________________ |
3a0f6479 | 1418 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectLorentzAngle(TObjArray *vectorFit) |
55a288e5 | 1419 | { |
1420 | // | |
3a0f6479 | 1421 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 |
1422 | // It takes the min value of the coefficients per detector | |
55a288e5 | 1423 | // This object has to be written in the database |
1424 | // | |
1425 | ||
1426 | // Create the DetObject | |
3a0f6479 | 1427 | AliTRDCalDet *object = new AliTRDCalDet("tan(lorentzangle)","tan(lorentzangle) (detector value)"); |
1428 | ||
1429 | ||
1430 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1431 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1432 | Int_t detector = -1; | |
1433 | Float_t value = 0.0; | |
55a288e5 | 1434 | |
3a0f6479 | 1435 | for (Int_t k = 0; k < loop; k++) { |
1436 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1437 | /* | |
1438 | Int_t rowMax = fGeo->GetRowMax(GetPlane(detector),GetChamber(detector),GetSector(detector)); | |
1439 | Int_t colMax = fGeo->GetColMax(GetPlane(detector)); | |
1440 | Float_t min = 100.0; | |
1441 | for (Int_t row = 0; row < rowMax; row++) { | |
1442 | for (Int_t col = 0; col < colMax; col++) { | |
1443 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1444 | mean += -TMath::Abs(value); | |
1445 | count++; | |
55a288e5 | 1446 | } // Col |
3a0f6479 | 1447 | } // Row |
1448 | if(count > 0) mean = mean/count; | |
1449 | */ | |
1450 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
1451 | object->SetValue(detector,-TMath::Abs(value)); | |
55a288e5 | 1452 | } |
1453 | ||
1454 | return object; | |
3a0f6479 | 1455 | |
55a288e5 | 1456 | } |
55a288e5 | 1457 | //_____________________________________________________________________________ |
3a0f6479 | 1458 | TObject *AliTRDCalibraFit::CreatePadObjectGain(TObjArray *vectorFit, Double_t scaleFitFactor, AliTRDCalDet *detobject) |
1459 | { | |
55a288e5 | 1460 | // |
3a0f6479 | 1461 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
1462 | // You need first to create the object for the detectors, | |
1463 | // where the mean value is put. | |
1464 | // This object has to be written in the database | |
55a288e5 | 1465 | // |
3a0f6479 | 1466 | |
1467 | // Create the DetObject | |
1468 | AliTRDCalPad *object = new AliTRDCalPad("GainFactor","GainFactor (local variations)"); | |
1469 | ||
1470 | if(!vectorFit){ | |
1471 | for(Int_t k = 0; k < 540; k++){ | |
1472 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1473 | Int_t nchannels = calROC->GetNchannels(); | |
1474 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1475 | calROC->SetValue(ch,1.0); | |
1476 | } | |
1477 | } | |
55a288e5 | 1478 | } |
3a0f6479 | 1479 | else{ |
1480 | ||
1481 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1482 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1483 | Int_t detector = -1; | |
1484 | Float_t value = 0.0; | |
1485 | ||
1486 | for (Int_t k = 0; k < loop; k++) { | |
1487 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1488 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1489 | Float_t mean = detobject->GetValue(detector); | |
1490 | if(mean == 0) continue; | |
1491 | Int_t rowMax = calROC->GetNrows(); | |
1492 | Int_t colMax = calROC->GetNcols(); | |
1493 | for (Int_t row = 0; row < rowMax; row++) { | |
1494 | for (Int_t col = 0; col < colMax; col++) { | |
1495 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1496 | if(value > 0) value = value*scaleFitFactor; | |
1497 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
1498 | } // Col | |
1499 | } // Row | |
1500 | } | |
55a288e5 | 1501 | } |
1502 | ||
3a0f6479 | 1503 | return object; |
55a288e5 | 1504 | } |
55a288e5 | 1505 | //_____________________________________________________________________________ |
3a0f6479 | 1506 | TObject *AliTRDCalibraFit::CreatePadObjectVdrift(TObjArray *vectorFit, AliTRDCalDet *detobject) |
1507 | { | |
55a288e5 | 1508 | // |
3a0f6479 | 1509 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
1510 | // You need first to create the object for the detectors, | |
1511 | // where the mean value is put. | |
1512 | // This object has to be written in the database | |
55a288e5 | 1513 | // |
1514 | ||
3a0f6479 | 1515 | // Create the DetObject |
1516 | AliTRDCalPad *object = new AliTRDCalPad("LocalVdrift","TRD drift velocities (local variations)"); | |
1517 | ||
1518 | if(!vectorFit){ | |
1519 | for(Int_t k = 0; k < 540; k++){ | |
1520 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1521 | Int_t nchannels = calROC->GetNchannels(); | |
1522 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1523 | calROC->SetValue(ch,1.0); | |
1524 | } | |
1525 | } | |
55a288e5 | 1526 | } |
1527 | else { | |
3a0f6479 | 1528 | |
1529 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1530 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1531 | Int_t detector = -1; | |
1532 | Float_t value = 0.0; | |
1533 | ||
1534 | for (Int_t k = 0; k < loop; k++) { | |
1535 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1536 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1537 | Float_t mean = detobject->GetValue(detector); | |
1538 | if(mean == 0) continue; | |
1539 | Int_t rowMax = calROC->GetNrows(); | |
1540 | Int_t colMax = calROC->GetNcols(); | |
1541 | for (Int_t row = 0; row < rowMax; row++) { | |
1542 | for (Int_t col = 0; col < colMax; col++) { | |
1543 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1544 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
1545 | } // Col | |
1546 | } // Row | |
1547 | } | |
55a288e5 | 1548 | } |
3a0f6479 | 1549 | return object; |
55a288e5 | 1550 | |
1551 | } | |
55a288e5 | 1552 | //_____________________________________________________________________________ |
3a0f6479 | 1553 | TObject *AliTRDCalibraFit::CreatePadObjectT0(TObjArray *vectorFit, AliTRDCalDet *detobject) |
1554 | { | |
55a288e5 | 1555 | // |
3a0f6479 | 1556 | // It Creates the AliTRDCalPad object from AliTRDFitInfo2 |
1557 | // You need first to create the object for the detectors, | |
1558 | // where the mean value is put. | |
1559 | // This object has to be written in the database | |
55a288e5 | 1560 | // |
3a0f6479 | 1561 | |
1562 | // Create the DetObject | |
1563 | AliTRDCalPad *object = new AliTRDCalPad("LocalT0","T0 (local variations)"); | |
1564 | ||
1565 | if(!vectorFit){ | |
1566 | for(Int_t k = 0; k < 540; k++){ | |
1567 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1568 | Int_t nchannels = calROC->GetNchannels(); | |
1569 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1570 | calROC->SetValue(ch,0.0); | |
1571 | } | |
1572 | } | |
55a288e5 | 1573 | } |
1574 | else { | |
3a0f6479 | 1575 | |
1576 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1577 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1578 | Int_t detector = -1; | |
1579 | Float_t value = 0.0; | |
1580 | ||
1581 | for (Int_t k = 0; k < loop; k++) { | |
1582 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1583 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1584 | Float_t min = detobject->GetValue(detector); | |
1585 | Int_t rowMax = calROC->GetNrows(); | |
1586 | Int_t colMax = calROC->GetNcols(); | |
1587 | for (Int_t row = 0; row < rowMax; row++) { | |
1588 | for (Int_t col = 0; col < colMax; col++) { | |
1589 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1590 | calROC->SetValue(col,row,value-min); | |
1591 | } // Col | |
1592 | } // Row | |
1593 | } | |
55a288e5 | 1594 | } |
3a0f6479 | 1595 | return object; |
55a288e5 | 1596 | |
1597 | } | |
3a0f6479 | 1598 | //_____________________________________________________________________________ |
1599 | TObject *AliTRDCalibraFit::CreatePadObjectPRF(TObjArray *vectorFit) | |
1600 | { | |
1601 | // | |
1602 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
1603 | // This object has to be written in the database | |
1604 | // | |
1605 | ||
1606 | // Create the DetObject | |
1607 | AliTRDCalPad *object = new AliTRDCalPad("PRFWidth","PRFWidth"); | |
1608 | ||
1609 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1610 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1611 | Int_t detector = -1; | |
1612 | Float_t value = 0.0; | |
55a288e5 | 1613 | |
3a0f6479 | 1614 | for (Int_t k = 0; k < loop; k++) { |
1615 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1616 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1617 | Int_t rowMax = calROC->GetNrows(); | |
1618 | Int_t colMax = calROC->GetNcols(); | |
1619 | for (Int_t row = 0; row < rowMax; row++) { | |
1620 | for (Int_t col = 0; col < colMax; col++) { | |
1621 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1622 | calROC->SetValue(col,row,TMath::Abs(value)); | |
1623 | } // Col | |
1624 | } // Row | |
1625 | } | |
1626 | ||
1627 | return object; | |
1628 | ||
1629 | } | |
55a288e5 | 1630 | //_____________________________________________________________________________ |
3a0f6479 | 1631 | AliTRDCalDet *AliTRDCalibraFit::MakeOutliersStatDet(TObjArray *vectorFit, const char *name, Double_t &mean) |
1632 | { | |
1633 | // | |
1634 | // It Creates the AliTRDCalDet object from AliTRDFitInfo | |
1635 | // 0 successful fit 1 not successful fit | |
1636 | // mean is the mean value over the successful fit | |
1637 | // do not use it for t0: no meaning | |
1638 | // | |
1639 | ||
1640 | // Create the CalObject | |
1641 | AliTRDCalDet *object = new AliTRDCalDet(name,name); | |
1642 | mean = 0.0; | |
1643 | Int_t count = 0; | |
1644 | ||
1645 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1646 | if(loop != 540) { | |
1647 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
1648 | for(Int_t k = 0; k < 540; k++){ | |
1649 | object->SetValue(k,1.0); | |
1650 | } | |
1651 | } | |
1652 | Int_t detector = -1; | |
1653 | Float_t value = 0.0; | |
1654 | ||
1655 | for (Int_t k = 0; k < loop; k++) { | |
1656 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1657 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
1658 | if(value <= 0) object->SetValue(detector,1.0); | |
1659 | else { | |
1660 | object->SetValue(detector,0.0); | |
1661 | mean += value; | |
1662 | count++; | |
1663 | } | |
1664 | } | |
1665 | if(count > 0) mean /= count; | |
1666 | return object; | |
1667 | } | |
1668 | //_____________________________________________________________________________ | |
1669 | TObject *AliTRDCalibraFit::MakeOutliersStatPad(TObjArray *vectorFit, const char *name, Double_t &mean) | |
1670 | { | |
1671 | // | |
1672 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
1673 | // 0 not successful fit 1 successful fit | |
1674 | // mean mean value over the successful fit | |
1675 | // | |
1676 | ||
1677 | // Create the CalObject | |
1678 | AliTRDCalPad *object = new AliTRDCalPad(name,name); | |
1679 | mean = 0.0; | |
1680 | Int_t count = 0; | |
1681 | ||
1682 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1683 | if(loop != 540) { | |
1684 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
1685 | for(Int_t k = 0; k < 540; k++){ | |
1686 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1687 | Int_t nchannels = calROC->GetNchannels(); | |
1688 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1689 | calROC->SetValue(ch,1.0); | |
1690 | } | |
1691 | } | |
1692 | } | |
1693 | Int_t detector = -1; | |
1694 | Float_t value = 0.0; | |
1695 | ||
1696 | for (Int_t k = 0; k < loop; k++) { | |
1697 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1698 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1699 | Int_t nchannels = calROC->GetNchannels(); | |
1700 | for (Int_t ch = 0; ch < nchannels; ch++) { | |
1701 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[ch]; | |
1702 | if(value <= 0) calROC->SetValue(ch,1.0); | |
1703 | else { | |
1704 | calROC->SetValue(ch,0.0); | |
1705 | mean += value; | |
1706 | count++; | |
1707 | } | |
1708 | } // channels | |
1709 | } | |
1710 | if(count > 0) mean /= count; | |
1711 | return object; | |
1712 | } | |
1713 | //_____________________________________________________________________________ | |
1714 | void AliTRDCalibraFit::SetPeriodeFitPH(Int_t periodeFitPH) | |
55a288e5 | 1715 | { |
1716 | // | |
3a0f6479 | 1717 | // Set FitPH if 1 then each detector will be fitted |
55a288e5 | 1718 | // |
1719 | ||
3a0f6479 | 1720 | if (periodeFitPH > 0) { |
1721 | fFitPHPeriode = periodeFitPH; | |
55a288e5 | 1722 | } |
1723 | else { | |
3a0f6479 | 1724 | AliInfo("periodeFitPH must be higher than 0!"); |
55a288e5 | 1725 | } |
1726 | ||
1727 | } | |
55a288e5 | 1728 | //_____________________________________________________________________________ |
1729 | void AliTRDCalibraFit::SetBeginFitCharge(Float_t beginFitCharge) | |
1730 | { | |
1731 | // | |
1732 | // The fit of the deposited charge distribution begins at | |
1733 | // histo->Mean()/beginFitCharge | |
1734 | // You can here set beginFitCharge | |
1735 | // | |
1736 | ||
1737 | if (beginFitCharge > 0) { | |
1738 | fBeginFitCharge = beginFitCharge; | |
1739 | } | |
1740 | else { | |
1741 | AliInfo("beginFitCharge must be strict positif!"); | |
1742 | } | |
1743 | ||
1744 | } | |
1745 | ||
1746 | //_____________________________________________________________________________ | |
1747 | void AliTRDCalibraFit::SetT0Shift(Float_t t0Shift) | |
1748 | { | |
1749 | // | |
1750 | // The t0 calculated with the maximum positif slope is shift from t0Shift | |
1751 | // You can here set t0Shift | |
1752 | // | |
1753 | ||
1754 | if (t0Shift > 0) { | |
1755 | fT0Shift = t0Shift; | |
1756 | } | |
1757 | else { | |
1758 | AliInfo("t0Shift must be strict positif!"); | |
1759 | } | |
1760 | ||
1761 | } | |
1762 | ||
1763 | //_____________________________________________________________________________ | |
1764 | void AliTRDCalibraFit::SetRangeFitPRF(Float_t rangeFitPRF) | |
1765 | { | |
1766 | // | |
1767 | // The fit of the PRF is from -rangeFitPRF to rangeFitPRF | |
1768 | // You can here set rangeFitPRF | |
1769 | // | |
1770 | ||
1771 | if ((rangeFitPRF > 0) && | |
1772 | (rangeFitPRF <= 1.5)) { | |
1773 | fRangeFitPRF = rangeFitPRF; | |
1774 | } | |
1775 | else { | |
1776 | AliInfo("rangeFitPRF must be between 0 and 1.0"); | |
1777 | } | |
1778 | ||
1779 | } | |
1780 | ||
3a0f6479 | 1781 | //_____________________________________________________________________________ |
1782 | void AliTRDCalibraFit::SetMinEntries(Int_t minEntries) | |
1783 | { | |
1784 | // | |
1785 | // Minimum entries for fitting | |
1786 | // | |
1787 | ||
1788 | if (minEntries > 0) { | |
1789 | fMinEntries = minEntries; | |
1790 | } | |
1791 | else { | |
1792 | AliInfo("fMinEntries must be >= 0."); | |
1793 | } | |
1794 | ||
1795 | } | |
1796 | ||
55a288e5 | 1797 | //_____________________________________________________________________________ |
1798 | void AliTRDCalibraFit::SetRebin(Short_t rebin) | |
1799 | { | |
1800 | // | |
1801 | // Rebin with rebin time less bins the Ch histo | |
1802 | // You can set here rebin that should divide the number of bins of CH histo | |
1803 | // | |
1804 | ||
1805 | if (rebin > 0) { | |
1806 | fRebin = rebin; | |
1807 | AliInfo("You have to be sure that fRebin divides fNumberBinCharge used!"); | |
1808 | } | |
1809 | else { | |
1810 | AliInfo("You have to choose a positiv value!"); | |
1811 | } | |
1812 | ||
1813 | } | |
55a288e5 | 1814 | //_____________________________________________________________________________ |
3a0f6479 | 1815 | Bool_t AliTRDCalibraFit::FillVectorFit() |
55a288e5 | 1816 | { |
1817 | // | |
3a0f6479 | 1818 | // For the Fit functions fill the vector Fit |
55a288e5 | 1819 | // |
55a288e5 | 1820 | |
3a0f6479 | 1821 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 1822 | |
3a0f6479 | 1823 | Int_t ntotal = 1; |
1824 | if (GetChamber(fCountDet) == 2) { | |
1825 | ntotal = 1728; | |
55a288e5 | 1826 | } |
3a0f6479 | 1827 | else { |
1828 | ntotal = 2304; | |
55a288e5 | 1829 | } |
3a0f6479 | 1830 | |
1831 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
1832 | Float_t *coef = new Float_t[ntotal]; | |
1833 | for (Int_t i = 0; i < ntotal; i++) { | |
1834 | coef[i] = fCurrentCoefDetector[i]; | |
55a288e5 | 1835 | } |
3a0f6479 | 1836 | |
1837 | Int_t detector = fCountDet; | |
1838 | // Set | |
1839 | fitInfo->SetCoef(coef); | |
1840 | fitInfo->SetDetector(detector); | |
1841 | fVectorFit.Add((TObject *) fitInfo); | |
1842 | ||
1843 | return kTRUE; | |
55a288e5 | 1844 | |
3a0f6479 | 1845 | } |
55a288e5 | 1846 | //_____________________________________________________________________________ |
3a0f6479 | 1847 | Bool_t AliTRDCalibraFit::FillVectorFit2() |
55a288e5 | 1848 | { |
1849 | // | |
3a0f6479 | 1850 | // For the Fit functions fill the vector Fit |
55a288e5 | 1851 | // |
55a288e5 | 1852 | |
3a0f6479 | 1853 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 1854 | |
3a0f6479 | 1855 | Int_t ntotal = 1; |
1856 | if (GetChamber(fCountDet) == 2) { | |
1857 | ntotal = 1728; | |
55a288e5 | 1858 | } |
3a0f6479 | 1859 | else { |
1860 | ntotal = 2304; | |
55a288e5 | 1861 | } |
3a0f6479 | 1862 | |
1863 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
1864 | Float_t *coef = new Float_t[ntotal]; | |
1865 | for (Int_t i = 0; i < ntotal; i++) { | |
1866 | coef[i] = fCurrentCoefDetector2[i]; | |
55a288e5 | 1867 | } |
3a0f6479 | 1868 | |
1869 | Int_t detector = fCountDet; | |
1870 | // Set | |
1871 | fitInfo->SetCoef(coef); | |
1872 | fitInfo->SetDetector(detector); | |
1873 | fVectorFit2.Add((TObject *) fitInfo); | |
55a288e5 | 1874 | |
3a0f6479 | 1875 | return kTRUE; |
55a288e5 | 1876 | |
3a0f6479 | 1877 | } |
1878 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
1879 | Bool_t AliTRDCalibraFit::InitFit(Int_t nbins, Int_t i) | |
55a288e5 | 1880 | { |
1881 | // | |
3a0f6479 | 1882 | // Init the number of expected bins and fDect1[i] fDect2[i] |
55a288e5 | 1883 | // |
1884 | ||
3a0f6479 | 1885 | gStyle->SetPalette(1); |
1886 | gStyle->SetOptStat(1111); | |
1887 | gStyle->SetPadBorderMode(0); | |
1888 | gStyle->SetCanvasColor(10); | |
1889 | gStyle->SetPadLeftMargin(0.13); | |
1890 | gStyle->SetPadRightMargin(0.01); | |
1891 | ||
1892 | // Mode groups of pads: the total number of bins! | |
1893 | CalculNumberOfBinsExpected(i); | |
1894 | ||
1895 | // Quick verification that we have the good pad calibration mode! | |
1896 | if (fNumberOfBinsExpected != nbins) { | |
1897 | AliInfo("It doesn't correspond to the mode of pad group calibration!"); | |
1898 | return kFALSE; | |
55a288e5 | 1899 | } |
3a0f6479 | 1900 | |
1901 | // Security for fDebug 3 and 4 | |
1902 | if ((fDebugLevel >= 3) && | |
1903 | ((fDet[0] > 5) || | |
1904 | (fDet[1] > 4) || | |
1905 | (fDet[2] > 17))) { | |
1906 | AliInfo("This detector doesn't exit!"); | |
1907 | return kFALSE; | |
55a288e5 | 1908 | } |
1909 | ||
3a0f6479 | 1910 | // Determine fDet1 and fDet2 and set the fNfragZ and fNfragRphi for debug 3 and 4 |
1911 | CalculDect1Dect2(i); | |
55a288e5 | 1912 | |
3a0f6479 | 1913 | |
1914 | return kTRUE; | |
55a288e5 | 1915 | } |
3a0f6479 | 1916 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
1917 | Bool_t AliTRDCalibraFit::InitFitCH() | |
55a288e5 | 1918 | { |
1919 | // | |
3a0f6479 | 1920 | // Init the fVectorFitCH for normalisation |
1921 | // Init the histo for debugging | |
55a288e5 | 1922 | // |
1923 | ||
3a0f6479 | 1924 | gDirectory = gROOT; |
1925 | ||
1926 | fScaleFitFactor = 0.0; | |
1927 | fCurrentCoefDetector = new Float_t[2304]; | |
1928 | for (Int_t k = 0; k < 2304; k++) { | |
1929 | fCurrentCoefDetector[k] = 0.0; | |
1930 | } | |
1931 | fVectorFit.SetName("gainfactorscoefficients"); | |
55a288e5 | 1932 | |
3a0f6479 | 1933 | // fDebug == 0 nothing |
1934 | // fDebug == 1 and fFitVoir no histo | |
1935 | if (fDebugLevel == 1) { | |
1936 | if(!CheckFitVoir()) return kFALSE; | |
1937 | } | |
1938 | //Get the CalDet object | |
1939 | if(fAccCDB){ | |
1940 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
1941 | if (!cal) { | |
1942 | AliInfo("Could not get calibDB"); | |
1943 | return kFALSE; | |
55a288e5 | 1944 | } |
3a0f6479 | 1945 | if(fCalDet) delete fCalDet; |
1946 | fCalDet = new AliTRDCalDet(*(cal->GetGainFactorDet())); | |
55a288e5 | 1947 | } |
3a0f6479 | 1948 | else{ |
1949 | Float_t devalue = 1.0; | |
1950 | if(fCalDet) delete fCalDet; | |
1951 | fCalDet = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); | |
1952 | for(Int_t k = 0; k < 540; k++){ | |
1953 | fCalDet->SetValue(k,devalue); | |
55a288e5 | 1954 | } |
1955 | } | |
3a0f6479 | 1956 | return kTRUE; |
1957 | ||
55a288e5 | 1958 | } |
3a0f6479 | 1959 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
1960 | Bool_t AliTRDCalibraFit::InitFitPH() | |
55a288e5 | 1961 | { |
1962 | // | |
3a0f6479 | 1963 | // Init the arrays of results |
1964 | // Init the histos for debugging | |
55a288e5 | 1965 | // |
55a288e5 | 1966 | |
3a0f6479 | 1967 | gDirectory = gROOT; |
1968 | fVectorFit.SetName("driftvelocitycoefficients"); | |
1969 | fVectorFit2.SetName("t0coefficients"); | |
55a288e5 | 1970 | |
3a0f6479 | 1971 | fCurrentCoefDetector = new Float_t[2304]; |
1972 | for (Int_t k = 0; k < 2304; k++) { | |
1973 | fCurrentCoefDetector[k] = 0.0; | |
1974 | } | |
1975 | ||
1976 | fCurrentCoefDetector2 = new Float_t[2304]; | |
1977 | for (Int_t k = 0; k < 2304; k++) { | |
1978 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 1979 | } |
1980 | ||
3a0f6479 | 1981 | //fDebug == 0 nothing |
1982 | // fDebug == 1 and fFitVoir no histo | |
1983 | if (fDebugLevel == 1) { | |
1984 | if(!CheckFitVoir()) return kFALSE; | |
1985 | } | |
1986 | //Get the CalDet object | |
1987 | if(fAccCDB){ | |
1988 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
1989 | if (!cal) { | |
1990 | AliInfo("Could not get calibDB"); | |
1991 | return kFALSE; | |
1992 | } | |
1993 | if(fCalDet) delete fCalDet; | |
1994 | if(fCalDet2) delete fCalDet2; | |
1995 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
1996 | fCalDet2 = new AliTRDCalDet(*(cal->GetT0Det())); | |
1997 | } | |
1998 | else{ | |
1999 | Float_t devalue = 1.5; | |
2000 | Float_t devalue2 = 0.0; | |
2001 | if(fCalDet) delete fCalDet; | |
2002 | if(fCalDet2) delete fCalDet2; | |
2003 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2004 | fCalDet2 = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
2005 | for(Int_t k = 0; k < 540; k++){ | |
2006 | fCalDet->SetValue(k,devalue); | |
2007 | fCalDet2->SetValue(k,devalue2); | |
2008 | } | |
2009 | } | |
2010 | return kTRUE; | |
55a288e5 | 2011 | } |
3a0f6479 | 2012 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2013 | Bool_t AliTRDCalibraFit::InitFitPRF() | |
55a288e5 | 2014 | { |
2015 | // | |
3a0f6479 | 2016 | // Init the calibration mode (Nz, Nrphi), the histograms for |
2017 | // debugging the fit methods if fDebug > 0, | |
2018 | // | |
2019 | ||
2020 | gDirectory = gROOT; | |
2021 | fVectorFit.SetName("prfwidthcoefficients"); | |
2022 | ||
2023 | fCurrentCoefDetector = new Float_t[2304]; | |
2024 | for (Int_t k = 0; k < 2304; k++) { | |
2025 | fCurrentCoefDetector[k] = 0.0; | |
55a288e5 | 2026 | } |
2027 | ||
3a0f6479 | 2028 | // fDebug == 0 nothing |
2029 | // fDebug == 1 and fFitVoir no histo | |
2030 | if (fDebugLevel == 1) { | |
2031 | if(!CheckFitVoir()) return kFALSE; | |
2032 | } | |
2033 | return kTRUE; | |
55a288e5 | 2034 | } |
3a0f6479 | 2035 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2036 | Bool_t AliTRDCalibraFit::InitFitLinearFitter() | |
55a288e5 | 2037 | { |
2038 | // | |
3a0f6479 | 2039 | // Init the fCalDet, fVectorFit fCurrentCoefDetector |
55a288e5 | 2040 | // |
3a0f6479 | 2041 | |
2042 | gDirectory = gROOT; | |
2043 | ||
2044 | fCurrentCoefDetector = new Float_t[2304]; | |
2045 | fCurrentCoefDetector2 = new Float_t[2304]; | |
2046 | for (Int_t k = 0; k < 2304; k++) { | |
2047 | fCurrentCoefDetector[k] = 0.0; | |
2048 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2049 | } |
2050 | ||
3a0f6479 | 2051 | //printf("test0\n"); |
2052 | ||
2053 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2054 | if (!cal) { | |
2055 | AliInfo("Could not get calibDB"); | |
2056 | return kFALSE; | |
55a288e5 | 2057 | } |
2058 | ||
3a0f6479 | 2059 | //Get the CalDet object |
2060 | if(fAccCDB){ | |
2061 | if(fCalDet) delete fCalDet; | |
2062 | if(fCalDet2) delete fCalDet2; | |
2063 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2064 | //printf("test1\n"); | |
2065 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2066 | //printf("test2\n"); | |
2067 | for(Int_t k = 0; k < 540; k++){ | |
2068 | fCalDet2->SetValue(k,cal->GetOmegaTau(fCalDet->GetValue(k),-fMagneticField)); | |
2069 | } | |
2070 | //printf("test3\n"); | |
2071 | } | |
2072 | else{ | |
2073 | Float_t devalue = 1.5; | |
2074 | Float_t devalue2 = cal->GetOmegaTau(1.5,-fMagneticField); | |
2075 | if(fCalDet) delete fCalDet; | |
2076 | if(fCalDet2) delete fCalDet2; | |
2077 | //printf("test1\n"); | |
2078 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2079 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2080 | //printf("test2\n"); | |
2081 | for(Int_t k = 0; k < 540; k++){ | |
2082 | fCalDet->SetValue(k,devalue); | |
2083 | fCalDet2->SetValue(k,devalue2); | |
2084 | } | |
2085 | //printf("test3\n"); | |
2086 | } | |
55a288e5 | 2087 | return kTRUE; |
55a288e5 | 2088 | } |
2089 | ||
2090 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3a0f6479 | 2091 | void AliTRDCalibraFit::InitfCountDetAndfCount(Int_t i) |
55a288e5 | 2092 | { |
2093 | // | |
3a0f6479 | 2094 | // Init the current detector where we are fCountDet and the |
2095 | // next fCount for the functions Fit... | |
55a288e5 | 2096 | // |
2097 | ||
3a0f6479 | 2098 | // Loop on the Xbins of ch!! |
2099 | fCountDet = -1; // Current detector | |
2100 | fCount = 0; // To find the next detector | |
2101 | ||
2102 | // If fDebug >= 3 | |
2103 | if (fDebugLevel >= 3) { | |
2104 | // Set countdet to the detector | |
2105 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2106 | // Set counter to write at the end of the detector | |
2107 | fCount = fDect2; | |
2108 | // Get the right calib objects | |
2109 | SetCalROC(i); | |
2110 | } | |
2111 | if(fDebugLevel == 1) { | |
2112 | fCountDet = 0; | |
2113 | fCalibraMode->CalculXBins(fCountDet,i); | |
2114 | while(fCalibraMode->GetXbins(i) <=fFitVoir){ | |
2115 | fCountDet++; | |
2116 | fCalibraMode->CalculXBins(fCountDet,i); | |
2117 | } | |
2118 | fCount = fCalibraMode->GetXbins(i); | |
2119 | fCountDet--; | |
2120 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2121 | fCalibraMode->ModePadCalibration((Int_t) GetChamber(fCountDet),i); | |
2122 | fCalibraMode->ModePadFragmentation((Int_t) GetPlane(fCountDet) | |
2123 | ,(Int_t) GetChamber(fCountDet) | |
2124 | ,(Int_t) GetSector(fCountDet),i); | |
2125 | } | |
2126 | } | |
2127 | //_______________________________________________________________________________ | |
2128 | void AliTRDCalibraFit::CalculNumberOfBinsExpected(Int_t i) | |
2129 | { | |
2130 | // | |
2131 | // Calculate the number of bins expected (calibration groups) | |
2132 | // | |
2133 | ||
2134 | fNumberOfBinsExpected = 0; | |
55a288e5 | 2135 | fCalibraMode->ModePadCalibration(2,i); |
2136 | fCalibraMode->ModePadFragmentation(0,2,0,i); | |
2137 | fCalibraMode->SetDetChamb2(i); | |
3a0f6479 | 2138 | if (fDebugLevel > 1) { |
55a288e5 | 2139 | AliInfo(Form("For the chamber 2: %d",fCalibraMode->GetDetChamb2(i))); |
2140 | } | |
3a0f6479 | 2141 | fNumberOfBinsExpected += 6 * 18 * fCalibraMode->GetDetChamb2(i); |
55a288e5 | 2142 | fCalibraMode->ModePadCalibration(0,i); |
2143 | fCalibraMode->ModePadFragmentation(0,0,0,i); | |
2144 | fCalibraMode->SetDetChamb0(i); | |
3a0f6479 | 2145 | if (fDebugLevel > 1) { |
55a288e5 | 2146 | AliInfo(Form("For the other chamber 0: %d",fCalibraMode->GetDetChamb0(i))); |
2147 | } | |
3a0f6479 | 2148 | fNumberOfBinsExpected += 6 * 4 * 18 * fCalibraMode->GetDetChamb0(i); |
2149 | ||
2150 | } | |
2151 | //_______________________________________________________________________________ | |
2152 | void AliTRDCalibraFit::CalculDect1Dect2(Int_t i) | |
2153 | { | |
2154 | // | |
2155 | // Calculate the range of fits | |
2156 | // | |
55a288e5 | 2157 | |
3a0f6479 | 2158 | fDect1 = -1; |
2159 | fDect2 = -1; | |
2160 | if (fDebugLevel == 1) { | |
2161 | fDect1 = fFitVoir; | |
2162 | fDect2 = fDect1 +1; | |
55a288e5 | 2163 | } |
3a0f6479 | 2164 | if ((fDebugLevel == 2) || (fDebugLevel == 0)) { |
2165 | fDect1 = 0; | |
2166 | fDect2 = fNumberOfBinsExpected; | |
55a288e5 | 2167 | } |
3a0f6479 | 2168 | if (fDebugLevel >= 3) { |
2169 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2170 | fCalibraMode->CalculXBins(fCountDet,i); | |
2171 | fDect1 = fCalibraMode->GetXbins(i); | |
2172 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2173 | fCalibraMode->ModePadCalibration((Int_t) GetChamber(fCountDet),i); | |
2174 | fCalibraMode->ModePadFragmentation((Int_t) GetPlane(fCountDet) | |
2175 | ,(Int_t) GetChamber(fCountDet) | |
2176 | ,(Int_t) GetSector(fCountDet),i); | |
2177 | // Set for the next detector | |
2178 | fDect2 = fDect1 + fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
55a288e5 | 2179 | } |
55a288e5 | 2180 | } |
3a0f6479 | 2181 | //_______________________________________________________________________________ |
2182 | Bool_t AliTRDCalibraFit::CheckFitVoir() | |
55a288e5 | 2183 | { |
2184 | // | |
3a0f6479 | 2185 | // Check if fFitVoir is in the range |
55a288e5 | 2186 | // |
2187 | ||
3a0f6479 | 2188 | if (fFitVoir < fNumberOfBinsExpected) { |
2189 | AliInfo(Form("We will see the fit of the object %d",fFitVoir)); | |
55a288e5 | 2190 | } |
3a0f6479 | 2191 | else { |
2192 | AliInfo("fFitVoir is out of range of the histo!"); | |
2193 | return kFALSE; | |
2194 | } | |
2195 | return kTRUE; | |
55a288e5 | 2196 | } |
55a288e5 | 2197 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2198 | void AliTRDCalibraFit::UpdatefCountDetAndfCount(Int_t idect, Int_t i) | |
2199 | { | |
2200 | // | |
2201 | // See if we are in a new detector and update the | |
2202 | // variables fNfragZ and fNfragRphi if yes | |
3a0f6479 | 2203 | // Will never happen for only one detector (3 and 4) |
2204 | // Doesn't matter for 2 | |
2205 | // | |
2206 | if (fCount == idect) { | |
2207 | // On en est au detector | |
2208 | fCountDet += 1; | |
2209 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2210 | fCalibraMode->ModePadCalibration((Int_t) GetChamber(fCountDet),i); | |
2211 | fCalibraMode->ModePadFragmentation((Int_t) GetPlane(fCountDet) | |
2212 | ,(Int_t) GetChamber(fCountDet) | |
2213 | ,(Int_t) GetSector(fCountDet),i); | |
2214 | // Set for the next detector | |
2215 | fCount += fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
2216 | // calib objects | |
2217 | SetCalROC(i); | |
55a288e5 | 2218 | } |
55a288e5 | 2219 | } |
55a288e5 | 2220 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2221 | void AliTRDCalibraFit::ReconstructFitRowMinRowMax(Int_t idect, Int_t i) | |
2222 | { | |
2223 | // | |
2224 | // Reconstruct the min pad row, max pad row, min pad col and | |
2225 | // max pad col of the calibration group for the Fit functions | |
2226 | // | |
3a0f6479 | 2227 | if (fDebugLevel != 1) { |
2228 | fCalibraMode->ReconstructionRowPadGroup((Int_t) (idect-(fCount-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i)))),i); | |
55a288e5 | 2229 | } |
55a288e5 | 2230 | } |
55a288e5 | 2231 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3a0f6479 | 2232 | Bool_t AliTRDCalibraFit::NotEnoughStatisticCH(Int_t idect) |
55a288e5 | 2233 | { |
2234 | // | |
2235 | // For the case where there are not enough entries in the histograms | |
3a0f6479 | 2236 | // of the calibration group, the value present in the choosen database |
2237 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2238 | // | |
2239 | ||
2240 | if (fDebugLevel == 1) { | |
2241 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 2242 | } |
3a0f6479 | 2243 | |
2244 | else { | |
55a288e5 | 2245 | |
3a0f6479 | 2246 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
2247 | ,idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0))),fCountDet)); | |
2248 | ||
2249 | // Calcul the coef from the database choosen | |
2250 | CalculChargeCoefMean(kFALSE); | |
55a288e5 | 2251 | |
3a0f6479 | 2252 | //chamber 2, not chamber 2 |
2253 | Int_t factor = 0; | |
2254 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2255 | else factor = 16; | |
55a288e5 | 2256 | |
3a0f6479 | 2257 | // Fill the fCurrentCoefDetector with negative value to say: not fitted |
2258 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
2259 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
2260 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 2261 | } |
2262 | } | |
3a0f6479 | 2263 | |
2264 | //Put default value negative | |
2265 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2266 | fCurrentCoefE = 0.0; | |
2267 | ||
2268 | FillFillCH(idect); | |
2269 | } | |
2270 | ||
2271 | return kTRUE; | |
55a288e5 | 2272 | } |
2273 | ||
3a0f6479 | 2274 | |
2275 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2276 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPH(Int_t idect) | |
55a288e5 | 2277 | { |
2278 | // | |
3a0f6479 | 2279 | // For the case where there are not enough entries in the histograms |
2280 | // of the calibration group, the value present in the choosen database | |
2281 | // will be put. A negativ sign enables to know that a fit was not possible. | |
55a288e5 | 2282 | // |
3a0f6479 | 2283 | if (fDebugLevel == 1) { |
2284 | AliInfo("The element has not enough statistic to be fitted"); | |
2285 | } | |
2286 | else { | |
55a288e5 | 2287 | |
3a0f6479 | 2288 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
2289 | ,idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1))),fCountDet)); | |
55a288e5 | 2290 | |
3a0f6479 | 2291 | CalculVdriftCoefMean(); |
2292 | CalculT0CoefMean(); | |
55a288e5 | 2293 | |
3a0f6479 | 2294 | //chamber 2 and not chamber 2 |
2295 | Int_t factor = 0; | |
2296 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2297 | else factor = 16; | |
55a288e5 | 2298 | |
55a288e5 | 2299 | |
3a0f6479 | 2300 | // Fill the fCurrentCoefDetector 2 |
2301 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
2302 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
2303 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
2304 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[1]; | |
55a288e5 | 2305 | } |
2306 | } | |
55a288e5 | 2307 | |
3a0f6479 | 2308 | // Put the default value |
2309 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2310 | fCurrentCoefE = 0.0; | |
2311 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
2312 | fCurrentCoefE2 = 0.0; | |
2313 | ||
2314 | FillFillPH(idect); | |
2315 | ||
2316 | } | |
55a288e5 | 2317 | |
3a0f6479 | 2318 | return kTRUE; |
55a288e5 | 2319 | |
3a0f6479 | 2320 | } |
2321 | ||
2322 | ||
2323 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2324 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPRF(Int_t idect) | |
2325 | { | |
2326 | // | |
2327 | // For the case where there are not enough entries in the histograms | |
2328 | // of the calibration group, the value present in the choosen database | |
2329 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2330 | // | |
55a288e5 | 2331 | |
3a0f6479 | 2332 | if (fDebugLevel == 1) { |
2333 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 2334 | } |
3a0f6479 | 2335 | else { |
2336 | ||
2337 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" | |
2338 | ,idect-(fCount-(fCalibraMode->GetNfragZ(2)*fCalibraMode->GetNfragRphi(2))),fCountDet)); | |
2339 | ||
2340 | CalculPRFCoefMean(); | |
2341 | ||
2342 | // chamber 2 and not chamber 2 | |
2343 | Int_t factor = 0; | |
2344 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2345 | else factor = 16; | |
55a288e5 | 2346 | |
55a288e5 | 2347 | |
3a0f6479 | 2348 | // Fill the fCurrentCoefDetector |
2349 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
2350 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
2351 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -fCurrentCoef[1]; | |
55a288e5 | 2352 | } |
2353 | } | |
55a288e5 | 2354 | |
3a0f6479 | 2355 | // Put the default value |
2356 | fCurrentCoef[0] = -fCurrentCoef[1]; | |
2357 | fCurrentCoefE = 0.0; | |
2358 | ||
2359 | FillFillPRF(idect); | |
2360 | } | |
2361 | ||
2362 | return kTRUE; | |
55a288e5 | 2363 | |
3a0f6479 | 2364 | } |
2365 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2366 | Bool_t AliTRDCalibraFit::NotEnoughStatisticLinearFitter() | |
55a288e5 | 2367 | { |
2368 | // | |
3a0f6479 | 2369 | // For the case where there are not enough entries in the histograms |
2370 | // of the calibration group, the value present in the choosen database | |
2371 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2372 | // | |
2373 | ||
2374 | // Calcul the coef from the database choosen | |
2375 | CalculVdriftLorentzCoef(); | |
2376 | ||
2377 | Int_t factor = 0; | |
2378 | if(GetChamber(fCountDet) == 2) factor = 1728; | |
2379 | else factor = 2304; | |
2380 | ||
2381 | ||
2382 | // Fill the fCurrentCoefDetector | |
2383 | for (Int_t k = 0; k < factor; k++) { | |
2384 | fCurrentCoefDetector[k] = -TMath::Abs(fCurrentCoef[1]); | |
2385 | // should be negative | |
2386 | fCurrentCoefDetector2[k] = +TMath::Abs(fCurrentCoef2[1]); | |
55a288e5 | 2387 | } |
3a0f6479 | 2388 | |
2389 | ||
2390 | //Put default opposite sign | |
2391 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2392 | fCurrentCoefE = 0.0; | |
2393 | fCurrentCoef2[0] = +TMath::Abs(fCurrentCoef2[1]); | |
2394 | fCurrentCoefE2 = 0.0; | |
2395 | ||
2396 | FillFillLinearFitter(); | |
2397 | ||
2398 | return kTRUE; | |
55a288e5 | 2399 | } |
2400 | ||
3a0f6479 | 2401 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2402 | Bool_t AliTRDCalibraFit::FillInfosFitCH(Int_t idect) | |
55a288e5 | 2403 | { |
2404 | // | |
3a0f6479 | 2405 | // Fill the coefficients found with the fits or other |
2406 | // methods from the Fit functions | |
2407 | // | |
2408 | ||
2409 | if (fDebugLevel != 1) { | |
2410 | ||
2411 | Int_t factor = 0; | |
2412 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2413 | else factor = 16; | |
2414 | ||
2415 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
2416 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
2417 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
2418 | } | |
55a288e5 | 2419 | } |
3a0f6479 | 2420 | |
2421 | FillFillCH(idect); | |
2422 | ||
55a288e5 | 2423 | } |
55a288e5 | 2424 | |
3a0f6479 | 2425 | return kTRUE; |
2426 | ||
2427 | } | |
2428 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2429 | Bool_t AliTRDCalibraFit::FillInfosFitPH(Int_t idect) | |
55a288e5 | 2430 | { |
2431 | // | |
3a0f6479 | 2432 | // Fill the coefficients found with the fits or other |
2433 | // methods from the Fit functions | |
2434 | // | |
2435 | ||
2436 | if (fDebugLevel != 1) { | |
2437 | ||
2438 | Int_t factor = 0; | |
2439 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2440 | else factor = 16; | |
2441 | ||
2442 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
2443 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
2444 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
2445 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[0]; | |
2446 | } | |
2447 | } | |
2448 | FillFillPH(idect); | |
55a288e5 | 2449 | } |
3a0f6479 | 2450 | return kTRUE; |
55a288e5 | 2451 | } |
3a0f6479 | 2452 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2453 | Bool_t AliTRDCalibraFit::FillInfosFitPRF(Int_t idect) | |
55a288e5 | 2454 | { |
2455 | // | |
3a0f6479 | 2456 | // Fill the coefficients found with the fits or other |
2457 | // methods from the Fit functions | |
55a288e5 | 2458 | // |
3a0f6479 | 2459 | |
2460 | if (fDebugLevel != 1) { | |
55a288e5 | 2461 | |
3a0f6479 | 2462 | Int_t factor = 0; |
2463 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2464 | else factor = 16; | |
2465 | ||
2466 | // Pointer to the branch | |
2467 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
2468 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
2469 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
2470 | } | |
55a288e5 | 2471 | } |
3a0f6479 | 2472 | FillFillPRF(idect); |
55a288e5 | 2473 | } |
55a288e5 | 2474 | |
3a0f6479 | 2475 | return kTRUE; |
55a288e5 | 2476 | |
3a0f6479 | 2477 | } |
2478 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2479 | Bool_t AliTRDCalibraFit::FillInfosFitLinearFitter() | |
55a288e5 | 2480 | { |
2481 | // | |
3a0f6479 | 2482 | // Fill the coefficients found with the fits or other |
2483 | // methods from the Fit functions | |
55a288e5 | 2484 | // |
3a0f6479 | 2485 | |
2486 | Int_t factor = 0; | |
2487 | if(GetChamber(fCountDet) == 2) factor = 1728; | |
2488 | else factor = 2304; | |
2489 | ||
2490 | // Pointer to the branch | |
2491 | for (Int_t k = 0; k < factor; k++) { | |
2492 | fCurrentCoefDetector[k] = fCurrentCoef[0]; | |
2493 | fCurrentCoefDetector2[k] = fCurrentCoef2[0]; | |
55a288e5 | 2494 | } |
3a0f6479 | 2495 | |
2496 | FillFillLinearFitter(); | |
2497 | ||
2498 | return kTRUE; | |
55a288e5 | 2499 | |
2500 | } | |
3a0f6479 | 2501 | //________________________________________________________________________________ |
2502 | void AliTRDCalibraFit::FillFillCH(Int_t idect) | |
55a288e5 | 2503 | { |
2504 | // | |
3a0f6479 | 2505 | // DebugStream and fVectorFit |
55a288e5 | 2506 | // |
2507 | ||
3a0f6479 | 2508 | // End of one detector |
2509 | if ((idect == (fCount-1))) { | |
2510 | FillVectorFit(); | |
2511 | // Reset | |
2512 | for (Int_t k = 0; k < 2304; k++) { | |
2513 | fCurrentCoefDetector[k] = 0.0; | |
2514 | } | |
55a288e5 | 2515 | } |
2516 | ||
3a0f6479 | 2517 | if(fDebugLevel > 1){ |
55a288e5 | 2518 | |
3a0f6479 | 2519 | if ( !fDebugStreamer ) { |
2520 | //debug stream | |
2521 | TDirectory *backup = gDirectory; | |
2522 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2523 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2524 | } | |
2525 | ||
2526 | Int_t detector = fCountDet; | |
2527 | Int_t caligroup = idect; | |
2528 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
2529 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
2530 | Short_t colmin = fCalibraMode->GetColMin(0); | |
2531 | Short_t colmax = fCalibraMode->GetColMax(0); | |
2532 | Float_t gf = fCurrentCoef[0]; | |
2533 | Float_t gfs = fCurrentCoef[1]; | |
2534 | Float_t gfE = fCurrentCoefE; | |
2535 | ||
2536 | (*fDebugStreamer) << "GAIN" << | |
2537 | "detector=" << detector << | |
2538 | "caligroup=" << caligroup << | |
2539 | "rowmin=" << rowmin << | |
2540 | "rowmax=" << rowmax << | |
2541 | "colmin=" << colmin << | |
2542 | "colmax=" << colmax << | |
2543 | "gf=" << gf << | |
2544 | "gfs=" << gfs << | |
2545 | "gfE=" << gfE << | |
2546 | "\n"; | |
2547 | ||
2548 | } | |
2549 | } | |
2550 | //________________________________________________________________________________ | |
2551 | void AliTRDCalibraFit::FillFillPH(Int_t idect) | |
55a288e5 | 2552 | { |
2553 | // | |
3a0f6479 | 2554 | // DebugStream and fVectorFit and fVectorFit2 |
55a288e5 | 2555 | // |
3a0f6479 | 2556 | |
2557 | // End of one detector | |
2558 | if ((idect == (fCount-1))) { | |
2559 | FillVectorFit(); | |
2560 | FillVectorFit2(); | |
2561 | // Reset | |
2562 | for (Int_t k = 0; k < 2304; k++) { | |
2563 | fCurrentCoefDetector[k] = 0.0; | |
2564 | fCurrentCoefDetector2[k] = 0.0; | |
2565 | } | |
2566 | } | |
2567 | ||
2568 | if(fDebugLevel > 1){ | |
2569 | ||
2570 | if ( !fDebugStreamer ) { | |
2571 | //debug stream | |
2572 | TDirectory *backup = gDirectory; | |
2573 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2574 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2575 | } | |
2576 | ||
2577 | ||
2578 | Int_t detector = fCountDet; | |
2579 | Int_t caligroup = idect; | |
2580 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
2581 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
2582 | Short_t colmin = fCalibraMode->GetColMin(1); | |
2583 | Short_t colmax = fCalibraMode->GetColMax(1); | |
2584 | Float_t vf = fCurrentCoef[0]; | |
2585 | Float_t vs = fCurrentCoef[1]; | |
2586 | Float_t vfE = fCurrentCoefE; | |
2587 | Float_t t0f = fCurrentCoef2[0]; | |
2588 | Float_t t0s = fCurrentCoef2[1]; | |
2589 | Float_t t0E = fCurrentCoefE2; | |
2590 | ||
55a288e5 | 2591 | |
3a0f6479 | 2592 | |
2593 | (* fDebugStreamer) << "PH"<< | |
2594 | "detector="<<detector<< | |
2595 | "caligroup="<<caligroup<< | |
2596 | "rowmin="<<rowmin<< | |
2597 | "rowmax="<<rowmax<< | |
2598 | "colmin="<<colmin<< | |
2599 | "colmax="<<colmax<< | |
2600 | "vf="<<vf<< | |
2601 | "vs="<<vs<< | |
2602 | "vfE="<<vfE<< | |
2603 | "t0f="<<t0f<< | |
2604 | "t0s="<<t0s<< | |
2605 | "t0E="<<t0E<< | |
2606 | "\n"; | |
2607 | } | |
55a288e5 | 2608 | |
2609 | } | |
3a0f6479 | 2610 | //________________________________________________________________________________ |
2611 | void AliTRDCalibraFit::FillFillPRF(Int_t idect) | |
2612 | { | |
2613 | // | |
2614 | // DebugStream and fVectorFit | |
2615 | // | |
55a288e5 | 2616 | |
3a0f6479 | 2617 | // End of one detector |
2618 | if ((idect == (fCount-1))) { | |
2619 | FillVectorFit(); | |
2620 | // Reset | |
2621 | for (Int_t k = 0; k < 2304; k++) { | |
2622 | fCurrentCoefDetector[k] = 0.0; | |
2623 | } | |
2624 | } | |
2625 | ||
2626 | ||
2627 | if(fDebugLevel > 1){ | |
2628 | ||
2629 | if ( !fDebugStreamer ) { | |
2630 | //debug stream | |
2631 | TDirectory *backup = gDirectory; | |
2632 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2633 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2634 | } | |
2635 | ||
2636 | Int_t detector = fCountDet; | |
2637 | Int_t plane = GetPlane(fCountDet); | |
2638 | Int_t caligroup = idect; | |
2639 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
2640 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
2641 | Short_t colmin = fCalibraMode->GetColMin(2); | |
2642 | Short_t colmax = fCalibraMode->GetColMax(2); | |
2643 | Float_t widf = fCurrentCoef[0]; | |
2644 | Float_t wids = fCurrentCoef[1]; | |
2645 | Float_t widfE = fCurrentCoefE; | |
2646 | ||
2647 | (* fDebugStreamer) << "PRF"<< | |
2648 | "detector="<<detector<< | |
2649 | "plane="<<plane<< | |
2650 | "caligroup="<<caligroup<< | |
2651 | "rowmin="<<rowmin<< | |
2652 | "rowmax="<<rowmax<< | |
2653 | "colmin="<<colmin<< | |
2654 | "colmax="<<colmax<< | |
2655 | "widf="<<widf<< | |
2656 | "wids="<<wids<< | |
2657 | "widfE="<<widfE<< | |
2658 | "\n"; | |
2659 | } | |
2660 | ||
2661 | } | |
2662 | //________________________________________________________________________________ | |
2663 | void AliTRDCalibraFit::FillFillLinearFitter() | |
55a288e5 | 2664 | { |
2665 | // | |
3a0f6479 | 2666 | // DebugStream and fVectorFit |
55a288e5 | 2667 | // |
3a0f6479 | 2668 | |
2669 | // End of one detector | |
2670 | FillVectorFit(); | |
2671 | FillVectorFit2(); | |
2672 | ||
2673 | ||
2674 | // Reset | |
2675 | for (Int_t k = 0; k < 2304; k++) { | |
2676 | fCurrentCoefDetector[k] = 0.0; | |
2677 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2678 | } |
3a0f6479 | 2679 | |
55a288e5 | 2680 | |
3a0f6479 | 2681 | if(fDebugLevel > 1){ |
55a288e5 | 2682 | |
3a0f6479 | 2683 | if ( !fDebugStreamer ) { |
2684 | //debug stream | |
2685 | TDirectory *backup = gDirectory; | |
2686 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2687 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2688 | } | |
2689 | ||
2690 | //Debug: comparaison of the different methods (okey for first time but not for iterative procedure) | |
2691 | AliTRDpadPlane *padplane = fGeo->GetPadPlane(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2692 | Float_t rowmd = (padplane->GetRow0()+padplane->GetRowEnd())/2.; | |
2693 | Float_t r = AliTRDgeometry::GetTime0(GetPlane(fCountDet)); | |
2694 | Float_t tiltangle = padplane->GetTiltingAngle(); | |
2695 | Int_t detector = fCountDet; | |
2696 | Int_t chamber = GetChamber(fCountDet); | |
2697 | Int_t plane = GetChamber(fCountDet); | |
2698 | Float_t vf = fCurrentCoef[0]; | |
2699 | Float_t vs = fCurrentCoef[1]; | |
2700 | Float_t vfE = fCurrentCoefE; | |
2701 | Float_t lorentzangler = fCurrentCoef2[0]; | |
e6381f8e | 2702 | Float_t elorentzangler = fCurrentCoefE2; |
3a0f6479 | 2703 | Float_t lorentzangles = fCurrentCoef2[1]; |
2704 | ||
2705 | (* fDebugStreamer) << "LinearFitter"<< | |
2706 | "detector="<<detector<< | |
2707 | "chamber="<<chamber<< | |
2708 | "plane="<<plane<< | |
2709 | "rowmd="<<rowmd<< | |
2710 | "r="<<r<< | |
2711 | "tiltangle="<<tiltangle<< | |
2712 | "vf="<<vf<< | |
2713 | "vs="<<vs<< | |
2714 | "vfE="<<vfE<< | |
2715 | "lorentzangler="<<lorentzangler<< | |
e6381f8e | 2716 | "Elorentzangler="<<elorentzangler<< |
3a0f6479 | 2717 | "lorentzangles="<<lorentzangles<< |
2718 | "\n"; | |
2719 | } | |
2720 | ||
2721 | } | |
55a288e5 | 2722 | // |
2723 | //____________Calcul Coef Mean_________________________________________________ | |
2724 | // | |
55a288e5 | 2725 | //_____________________________________________________________________________ |
3a0f6479 | 2726 | Bool_t AliTRDCalibraFit::CalculT0CoefMean() |
55a288e5 | 2727 | { |
2728 | // | |
2729 | // For the detector Dect calcul the mean time 0 | |
2730 | // for the calibration group idect from the choosen database | |
2731 | // | |
2732 | ||
3a0f6479 | 2733 | fCurrentCoef2[1] = 0.0; |
2734 | if(fDebugLevel != 1){ | |
2735 | if((fCalibraMode->GetNz(1) > 0) || | |
2736 | (fCalibraMode->GetNrphi(1) > 0)) { | |
2737 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { | |
2738 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
2739 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); | |
55a288e5 | 2740 | } |
3a0f6479 | 2741 | } |
2742 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); | |
2743 | } | |
2744 | else { | |
2745 | if(!fAccCDB){ | |
2746 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
2747 | } | |
2748 | else{ | |
2749 | for(Int_t row = 0; row < fGeo->GetRowMax(GetPlane(fCountDet),GetChamber(fCountDet),GetSector(fCountDet)); row++){ | |
2750 | for(Int_t col = 0; col < fGeo->GetColMax(GetPlane(fCountDet)); col++){ | |
2751 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); | |
2752 | } | |
55a288e5 | 2753 | } |
3a0f6479 | 2754 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fGeo->GetRowMax(GetPlane(fCountDet),GetChamber(fCountDet),GetSector(fCountDet)))*(fGeo->GetColMax(GetPlane(fCountDet)))); |
55a288e5 | 2755 | } |
2756 | } | |
55a288e5 | 2757 | } |
55a288e5 | 2758 | return kTRUE; |
55a288e5 | 2759 | } |
2760 | ||
2761 | //_____________________________________________________________________________ | |
3a0f6479 | 2762 | Bool_t AliTRDCalibraFit::CalculChargeCoefMean(Bool_t vrai) |
55a288e5 | 2763 | { |
2764 | // | |
2765 | // For the detector Dect calcul the mean gain factor | |
2766 | // for the calibration group idect from the choosen database | |
2767 | // | |
2768 | ||
3a0f6479 | 2769 | fCurrentCoef[1] = 0.0; |
2770 | if(fDebugLevel != 1){ | |
2771 | if ((fCalibraMode->GetNz(0) > 0) || | |
2772 | (fCalibraMode->GetNrphi(0) > 0)) { | |
2773 | for (Int_t row = fCalibraMode->GetRowMin(0); row < fCalibraMode->GetRowMax(0); row++) { | |
2774 | for (Int_t col = fCalibraMode->GetColMin(0); col < fCalibraMode->GetColMax(0); col++) { | |
2775 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
2776 | if (vrai) fScaleFitFactor += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 2777 | } |
2778 | } | |
3a0f6479 | 2779 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0))); |
55a288e5 | 2780 | } |
3a0f6479 | 2781 | else { |
2782 | //Per detectors | |
2783 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
2784 | if (vrai) fScaleFitFactor += ((Float_t) fCalDet->GetValue(fCountDet))*(fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0)); | |
2785 | } | |
55a288e5 | 2786 | } |
55a288e5 | 2787 | return kTRUE; |
55a288e5 | 2788 | } |
55a288e5 | 2789 | //_____________________________________________________________________________ |
3a0f6479 | 2790 | Bool_t AliTRDCalibraFit::CalculPRFCoefMean() |
55a288e5 | 2791 | { |
2792 | // | |
2793 | // For the detector Dect calcul the mean sigma of pad response | |
2794 | // function for the calibration group idect from the choosen database | |
2795 | // | |
3a0f6479 | 2796 | |
2797 | fCurrentCoef[1] = 0.0; | |
2798 | if(fDebugLevel != 1){ | |
55a288e5 | 2799 | for (Int_t row = fCalibraMode->GetRowMin(2); row < fCalibraMode->GetRowMax(2); row++) { |
2800 | for (Int_t col = fCalibraMode->GetColMin(2); col < fCalibraMode->GetColMax(2); col++) { | |
3a0f6479 | 2801 | fCurrentCoef[1] += (Float_t) fCalROC->GetValue(col,row); |
55a288e5 | 2802 | } |
2803 | } | |
3a0f6479 | 2804 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(2)-fCalibraMode->GetColMin(2))*(fCalibraMode->GetRowMax(2)-fCalibraMode->GetRowMin(2))); |
55a288e5 | 2805 | } |
55a288e5 | 2806 | return kTRUE; |
55a288e5 | 2807 | } |
55a288e5 | 2808 | //_____________________________________________________________________________ |
3a0f6479 | 2809 | Bool_t AliTRDCalibraFit::CalculVdriftCoefMean() |
55a288e5 | 2810 | { |
2811 | // | |
2812 | // For the detector dect calcul the mean drift velocity for the | |
2813 | // calibration group idect from the choosen database | |
2814 | // | |
2815 | ||
3a0f6479 | 2816 | fCurrentCoef[1] = 0.0; |
2817 | if(fDebugLevel != 1){ | |
2818 | if ((fCalibraMode->GetNz(1) > 0) || | |
2819 | (fCalibraMode->GetNrphi(1) > 0)) { | |
2820 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { | |
2821 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
2822 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 2823 | } |
2824 | } | |
3a0f6479 | 2825 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); |
55a288e5 | 2826 | } |
3a0f6479 | 2827 | else { |
2828 | //per detectors | |
2829 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
2830 | } | |
55a288e5 | 2831 | } |
55a288e5 | 2832 | return kTRUE; |
55a288e5 | 2833 | } |
3a0f6479 | 2834 | //_____________________________________________________________________________ |
2835 | Bool_t AliTRDCalibraFit::CalculVdriftLorentzCoef() | |
2836 | { | |
2837 | // | |
2838 | // For the detector fCountDet, mean drift velocity and tan lorentzangle | |
2839 | // | |
2840 | ||
2841 | fCurrentCoef[1] = fCalDet->GetValue(fCountDet); | |
2842 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
55a288e5 | 2843 | |
3a0f6479 | 2844 | return kTRUE; |
2845 | } | |
55a288e5 | 2846 | //_____________________________________________________________________________ |
2847 | Float_t AliTRDCalibraFit::GetPRFDefault(Int_t plane) const | |
2848 | { | |
2849 | // | |
2850 | // Default width of the PRF if there is no database as reference | |
2851 | // | |
3a0f6479 | 2852 | switch(plane) |
2853 | { | |
2854 | // default database | |
2855 | //case 0: return 0.515; | |
2856 | //case 1: return 0.502; | |
2857 | //case 2: return 0.491; | |
2858 | //case 3: return 0.481; | |
2859 | //case 4: return 0.471; | |
2860 | //case 5: return 0.463; | |
2861 | //default: return 0.0; | |
2862 | ||
2863 | // fit database | |
2864 | case 0: return 0.538429; | |
2865 | case 1: return 0.524302; | |
2866 | case 2: return 0.511591; | |
2867 | case 3: return 0.500140; | |
2868 | case 4: return 0.489821; | |
2869 | case 5: return 0.480524; | |
2870 | default: return 0.0; | |
55a288e5 | 2871 | } |
3a0f6479 | 2872 | } |
2873 | //________________________________________________________________________________ | |
2874 | void AliTRDCalibraFit::SetCalROC(Int_t i) | |
2875 | { | |
2876 | // | |
2877 | // Set the calib object for fCountDet | |
2878 | // | |
2879 | ||
2880 | Float_t value = 0.0; | |
2881 | ||
2882 | //Get the CalDet object | |
2883 | if(fAccCDB){ | |
2884 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2885 | if (!cal) { | |
2886 | AliInfo("Could not get calibDB"); | |
2887 | return; | |
2888 | } | |
2889 | switch (i) | |
2890 | { | |
2891 | case 0: | |
2892 | if(fCalROC) delete fCalROC; | |
2893 | fCalROC = new AliTRDCalROC(*(cal->GetGainFactorROC(fCountDet))); | |
2894 | break; | |
2895 | case 1: | |
2896 | if(fCalROC) delete fCalROC; | |
2897 | if(fCalROC2) delete fCalROC2; | |
2898 | fCalROC = new AliTRDCalROC(*(cal->GetVdriftROC(fCountDet))); | |
2899 | fCalROC2 = new AliTRDCalROC(*(cal->GetT0ROC(fCountDet))); | |
2900 | break; | |
2901 | case 2: | |
2902 | if(fCalROC) delete fCalROC; | |
2903 | fCalROC = new AliTRDCalROC(*(cal->GetPRFROC(fCountDet))); break; | |
2904 | default: return; | |
2905 | } | |
55a288e5 | 2906 | } |
3a0f6479 | 2907 | else{ |
2908 | switch (i) | |
2909 | { | |
2910 | case 0: | |
2911 | if(fCalROC) delete fCalROC; | |
2912 | fCalROC = new AliTRDCalROC(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2913 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ | |
2914 | fCalROC->SetValue(k,1.0); | |
2915 | } | |
2916 | break; | |
2917 | case 1: | |
2918 | if(fCalROC) delete fCalROC; | |
2919 | if(fCalROC2) delete fCalROC2; | |
2920 | fCalROC = new AliTRDCalROC(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2921 | fCalROC2 = new AliTRDCalROC(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2922 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ | |
2923 | fCalROC->SetValue(k,1.0); | |
2924 | fCalROC2->SetValue(k,0.0); | |
2925 | } | |
2926 | break; | |
2927 | case 2: | |
2928 | if(fCalROC) delete fCalROC; | |
2929 | value = GetPRFDefault(GetPlane(fCountDet)); | |
2930 | fCalROC = new AliTRDCalROC(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2931 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ | |
2932 | fCalROC->SetValue(k,value); | |
2933 | } | |
2934 | break; | |
2935 | default: return; | |
2936 | } | |
55a288e5 | 2937 | } |
2938 | ||
2939 | } | |
55a288e5 | 2940 | //____________Fit Methods______________________________________________________ |
2941 | ||
2942 | //_____________________________________________________________________________ | |
3a0f6479 | 2943 | void AliTRDCalibraFit::FitPente(TH1* projPH) |
55a288e5 | 2944 | { |
2945 | // | |
2946 | // Slope methode for the drift velocity | |
2947 | // | |
2948 | ||
2949 | // Constants | |
2950 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 2951 | Int_t binmax = 0; |
2952 | Int_t binmin = 0; | |
2953 | fPhd[0] = 0.0; | |
2954 | fPhd[1] = 0.0; | |
2955 | fPhd[2] = 0.0; | |
2956 | Int_t ju = 0; | |
2957 | fCurrentCoefE = 0.0; | |
2958 | fCurrentCoefE2 = 0.0; | |
2959 | fCurrentCoef[0] = 0.0; | |
2960 | fCurrentCoef2[0] = 0.0; | |
2961 | TLine *line = new TLine(); | |
55a288e5 | 2962 | |
2963 | // Some variables | |
2964 | TAxis *xpph = projPH->GetXaxis(); | |
2965 | Int_t nbins = xpph->GetNbins(); | |
2966 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
2967 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
2968 | Double_t widbins = (upedge - lowedge) / nbins; | |
2969 | Double_t limit = upedge + 0.5 * widbins; | |
2970 | Bool_t put = kTRUE; | |
2971 | ||
2972 | // Beginning of the signal | |
2973 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
2974 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
2975 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
2976 | } | |
55a288e5 | 2977 | binmax = (Int_t) pentea->GetMaximumBin(); |
55a288e5 | 2978 | if (binmax <= 1) { |
2979 | binmax = 2; | |
2980 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
2981 | } | |
2982 | if (binmax >= nbins) { | |
2983 | binmax = nbins-1; | |
2984 | put = kFALSE; | |
2985 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
2986 | } | |
2987 | pentea->Fit("pol2","0MR","",TMath::Max(pentea->GetBinCenter(binmax-1),0.0),pentea->GetBinCenter(binmax+1)); | |
2988 | Float_t l3P1am = pentea->GetFunction("pol2")->GetParameter(1); | |
2989 | Float_t l3P2am = pentea->GetFunction("pol2")->GetParameter(2); | |
2990 | Float_t l3P1amE = pentea->GetFunction("pol2")->GetParError(1); | |
2991 | Float_t l3P2amE = pentea->GetFunction("pol2")->GetParError(2); | |
2992 | if (l3P2am != 0) { | |
2993 | fPhd[0] = -(l3P1am / (2 * l3P2am)); | |
2994 | } | |
2995 | if(!fTakeTheMaxPH){ | |
2996 | if((l3P1am != 0.0) && (l3P2am != 0.0)){ | |
3a0f6479 | 2997 | fCurrentCoefE2 = (l3P1amE/l3P1am + l3P2amE/l3P2am)*fPhd[0]; |
55a288e5 | 2998 | } |
2999 | } | |
55a288e5 | 3000 | // Amplification region |
3001 | binmax = 0; | |
3002 | ju = 0; | |
3003 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 3004 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 3005 | binmax = kbin; |
3006 | ju = 1; | |
3007 | } | |
3008 | } | |
55a288e5 | 3009 | if (binmax <= 1) { |
3010 | binmax = 2; | |
3011 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
3012 | } | |
3013 | if (binmax >= nbins) { | |
3014 | binmax = nbins-1; | |
3015 | put = kFALSE; | |
3016 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
3017 | } | |
3018 | projPH->Fit("pol2","0MR","",TMath::Max(projPH->GetBinCenter(binmax-1),0.0),projPH->GetBinCenter(binmax+1)); | |
3019 | Float_t l3P1amf = projPH->GetFunction("pol2")->GetParameter(1); | |
3020 | Float_t l3P2amf = projPH->GetFunction("pol2")->GetParameter(2); | |
3021 | Float_t l3P1amfE = projPH->GetFunction("pol2")->GetParError(1); | |
3022 | Float_t l3P2amfE = projPH->GetFunction("pol2")->GetParError(2); | |
55a288e5 | 3023 | if (l3P2amf != 0) { |
3024 | fPhd[1] = -(l3P1amf / (2 * l3P2amf)); | |
3025 | } | |
3026 | if((l3P1amf != 0.0) && (l3P2amf != 0.0)){ | |
3a0f6479 | 3027 | fCurrentCoefE = (l3P1amfE/l3P1amf + l3P2amfE/l3P2amf)*fPhd[1]; |
55a288e5 | 3028 | } |
3029 | if(fTakeTheMaxPH){ | |
3a0f6479 | 3030 | fCurrentCoefE2 = fCurrentCoefE; |
55a288e5 | 3031 | } |
55a288e5 | 3032 | // Drift region |
3033 | TH1D *pente = new TH1D("pente","pente",projPH->GetNbinsX(),0,(Float_t) limit); | |
3034 | for (Int_t k = TMath::Min(binmax+4,projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
3035 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
3036 | } | |
3037 | binmin = 0; | |
3038 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
3039 | if (binmin <= 1) { | |
3040 | binmin = 2; | |
3041 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
3042 | } | |
3043 | if (binmin >= nbins) { | |
3044 | binmin = nbins-1; | |
3045 | put = kFALSE; | |
3046 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
3047 | } | |
55a288e5 | 3048 | pente->Fit("pol2" |
3049 | ,"0MR" | |
3050 | ,"" | |
3051 | ,TMath::Max(pente->GetBinCenter(binmin-1), 0.0) | |
3052 | ,TMath::Min(pente->GetBinCenter(binmin+1),(Double_t) limit)); | |
3053 | Float_t l3P1dr = pente->GetFunction("pol2")->GetParameter(1); | |
3054 | Float_t l3P2dr = pente->GetFunction("pol2")->GetParameter(2); | |
3055 | Float_t l3P1drE = pente->GetFunction("pol2")->GetParError(1); | |
3056 | Float_t l3P2drE = pente->GetFunction("pol2")->GetParError(2); | |
3057 | if (l3P2dr != 0) { | |
3058 | fPhd[2] = -(l3P1dr / (2 * l3P2dr)); | |
3059 | } | |
3060 | if((l3P1dr != 0.0) && (l3P2dr != 0.0)){ | |
3a0f6479 | 3061 | fCurrentCoefE += (l3P1drE/l3P1dr + l3P2drE/l3P2dr)*fPhd[2]; |
55a288e5 | 3062 | } |
55a288e5 | 3063 | Float_t fPhdt0 = 0.0; |
3064 | if(fTakeTheMaxPH) fPhdt0 = fPhd[1]; | |
3065 | else fPhdt0 = fPhd[0]; | |
3066 | ||
3067 | if ((fPhd[2] > fPhd[0]) && | |
3068 | (fPhd[2] > fPhd[1]) && | |
3069 | (fPhd[1] > fPhd[0]) && | |
3070 | (put)) { | |
3a0f6479 | 3071 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
3072 | fNumberFitSuccess++; | |
3073 | ||
55a288e5 | 3074 | if (fPhdt0 >= 0.0) { |
3a0f6479 | 3075 | fCurrentCoef2[0] = (fPhdt0 - fT0Shift) / widbins; |
3076 | if (fCurrentCoef2[0] < -1.0) { | |
3077 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3078 | } |
3079 | } | |
3080 | else { | |
3a0f6479 | 3081 | fCurrentCoef2[0] = fCurrentCoef2[1]; |
55a288e5 | 3082 | } |
3a0f6479 | 3083 | |
55a288e5 | 3084 | } |
3085 | else { | |
3a0f6479 | 3086 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3087 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3088 | } |
3089 | ||
3a0f6479 | 3090 | if (fDebugLevel == 1) { |
55a288e5 | 3091 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
3092 | cpentei->cd(); | |
3093 | projPH->Draw(); | |
3094 | line->SetLineColor(2); | |
3095 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
3096 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
3097 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
3098 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
3099 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
3100 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 3101 | AliInfo(Form("fVriftCoef[1] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 3102 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
3103 | cpentei2->cd(); | |
3104 | pentea->Draw(); | |
3105 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
3106 | cpentei3->cd(); | |
3107 | pente->Draw(); | |
3108 | } | |
3a0f6479 | 3109 | else { |
55a288e5 | 3110 | delete pentea; |
55a288e5 | 3111 | delete pente; |
3112 | } | |
55a288e5 | 3113 | } |
55a288e5 | 3114 | //_____________________________________________________________________________ |
3a0f6479 | 3115 | void AliTRDCalibraFit::FitLagrangePoly(TH1* projPH) |
55a288e5 | 3116 | { |
3117 | // | |
3118 | // Slope methode but with polynomes de Lagrange | |
3119 | // | |
3120 | ||
3121 | // Constants | |
3122 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 3123 | Int_t binmax = 0; |
3124 | Int_t binmin = 0; | |
3125 | Double_t *x = new Double_t[5]; | |
3126 | Double_t *y = new Double_t[5]; | |
3127 | x[0] = 0.0; | |
3128 | x[1] = 0.0; | |
3129 | x[2] = 0.0; | |
3130 | x[3] = 0.0; | |
3131 | x[4] = 0.0; | |
3132 | y[0] = 0.0; | |
3133 | y[1] = 0.0; | |
3134 | y[2] = 0.0; | |
3135 | y[3] = 0.0; | |
3136 | y[4] = 0.0; | |
3137 | fPhd[0] = 0.0; | |
3138 | fPhd[1] = 0.0; | |
3139 | fPhd[2] = 0.0; | |
3140 | Int_t ju = 0; | |
3141 | fCurrentCoefE = 0.0; | |
3142 | fCurrentCoefE2 = 1.0; | |
3143 | fCurrentCoef[0] = 0.0; | |
3144 | fCurrentCoef2[0] = 0.0; | |
55a288e5 | 3145 | TLine *line = new TLine(); |
3146 | TF1 * polynome = 0x0; | |
3147 | TF1 * polynomea = 0x0; | |
3148 | TF1 * polynomeb = 0x0; | |
3149 | Double_t *c = 0x0; | |
3150 | ||
3151 | // Some variables | |
3152 | TAxis *xpph = projPH->GetXaxis(); | |
3153 | Int_t nbins = xpph->GetNbins(); | |
3154 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
3155 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
3156 | Double_t widbins = (upedge - lowedge) / nbins; | |
3157 | Double_t limit = upedge + 0.5 * widbins; | |
3158 | ||
3159 | ||
3160 | Bool_t put = kTRUE; | |
3161 | ||
3162 | // Beginning of the signal | |
3163 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
3164 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
3165 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
3166 | } | |
3167 | ||
3168 | binmax = (Int_t) pentea->GetMaximumBin(); | |
55a288e5 | 3169 | |
3170 | Double_t minnn = 0.0; | |
3171 | Double_t maxxx = 0.0; | |
3172 | ||
3a0f6479 | 3173 | Int_t kase = nbins-binmax; |
3174 | ||
3175 | switch(kase) | |
3176 | { | |
3177 | case 0: | |
3178 | put = kFALSE; | |
3179 | break; | |
3180 | case 1: | |
3181 | minnn = pentea->GetBinCenter(binmax-2); | |
3182 | maxxx = pentea->GetBinCenter(binmax); | |
3183 | x[0] = pentea->GetBinCenter(binmax-2); | |
3184 | x[1] = pentea->GetBinCenter(binmax-1); | |
3185 | x[2] = pentea->GetBinCenter(binmax); | |
3186 | y[0] = pentea->GetBinContent(binmax-2); | |
3187 | y[1] = pentea->GetBinContent(binmax-1); | |
3188 | y[2] = pentea->GetBinContent(binmax); | |
3189 | c = CalculPolynomeLagrange2(x,y); | |
3190 | AliInfo("At the limit for beginning!"); | |
3191 | break; | |
3192 | case 2: | |
3193 | minnn = pentea->GetBinCenter(binmax-2); | |
3194 | maxxx = pentea->GetBinCenter(binmax+1); | |
3195 | x[0] = pentea->GetBinCenter(binmax-2); | |
3196 | x[1] = pentea->GetBinCenter(binmax-1); | |
3197 | x[2] = pentea->GetBinCenter(binmax); | |
3198 | x[3] = pentea->GetBinCenter(binmax+1); | |
3199 | y[0] = pentea->GetBinContent(binmax-2); | |
3200 | y[1] = pentea->GetBinContent(binmax-1); | |
3201 | y[2] = pentea->GetBinContent(binmax); | |
3202 | y[3] = pentea->GetBinContent(binmax+1); | |
3203 | c = CalculPolynomeLagrange3(x,y); | |
3204 | break; | |
3205 | default: | |
3206 | switch(binmax){ | |
3207 | case 0: | |
3208 | put = kFALSE; | |
3209 | break; | |
3210 | case 1: | |
3211 | minnn = pentea->GetBinCenter(binmax); | |
3212 | maxxx = pentea->GetBinCenter(binmax+2); | |
3213 | x[0] = pentea->GetBinCenter(binmax); | |
3214 | x[1] = pentea->GetBinCenter(binmax+1); | |
3215 | x[2] = pentea->GetBinCenter(binmax+2); | |
3216 | y[0] = pentea->GetBinContent(binmax); | |
3217 | y[1] = pentea->GetBinContent(binmax+1); | |
3218 | y[2] = pentea->GetBinContent(binmax+2); | |
3219 | c = CalculPolynomeLagrange2(x,y); | |
3220 | break; | |
3221 | case 2: | |
3222 | minnn = pentea->GetBinCenter(binmax-1); | |
3223 | maxxx = pentea->GetBinCenter(binmax+2); | |
3224 | x[0] = pentea->GetBinCenter(binmax-1); | |
3225 | x[1] = pentea->GetBinCenter(binmax); | |
3226 | x[2] = pentea->GetBinCenter(binmax+1); | |
3227 | x[3] = pentea->GetBinCenter(binmax+2); | |
3228 | y[0] = pentea->GetBinContent(binmax-1); | |
3229 | y[1] = pentea->GetBinContent(binmax); | |
3230 | y[2] = pentea->GetBinContent(binmax+1); | |
3231 | y[3] = pentea->GetBinContent(binmax+2); | |
3232 | c = CalculPolynomeLagrange3(x,y); | |
3233 | break; | |
3234 | default: | |
3235 | minnn = pentea->GetBinCenter(binmax-2); | |
3236 | maxxx = pentea->GetBinCenter(binmax+2); | |
3237 | x[0] = pentea->GetBinCenter(binmax-2); | |
3238 | x[1] = pentea->GetBinCenter(binmax-1); | |
3239 | x[2] = pentea->GetBinCenter(binmax); | |
3240 | x[3] = pentea->GetBinCenter(binmax+1); | |
3241 | x[4] = pentea->GetBinCenter(binmax+2); | |
3242 | y[0] = pentea->GetBinContent(binmax-2); | |
3243 | y[1] = pentea->GetBinContent(binmax-1); | |
3244 | y[2] = pentea->GetBinContent(binmax); | |
3245 | y[3] = pentea->GetBinContent(binmax+1); | |
3246 | y[4] = pentea->GetBinContent(binmax+2); | |
3247 | c = CalculPolynomeLagrange4(x,y); | |
3248 | break; | |
3249 | } | |
3250 | break; | |
55a288e5 | 3251 | } |
3a0f6479 | 3252 | |
3253 | ||
55a288e5 | 3254 | if(put) { |
3255 | polynomeb = new TF1("polb","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minnn,maxxx); | |
3256 | polynomeb->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
3a0f6479 | 3257 | |
55a288e5 | 3258 | Double_t step = (maxxx-minnn)/10000; |
3259 | Double_t l = minnn; | |
3260 | Double_t maxvalue = 0.0; | |
3261 | Double_t placemaximum = minnn; | |
3262 | for(Int_t o = 0; o < 10000; o++){ | |
3263 | if(o == 0) maxvalue = polynomeb->Eval(l); | |
3264 | if(maxvalue < (polynomeb->Eval(l))){ | |
3265 | maxvalue = polynomeb->Eval(l); | |
3266 | placemaximum = l; | |
3267 | } | |
3268 | l += step; | |
3269 | } | |
3270 | fPhd[0] = placemaximum; | |
3271 | } | |
55a288e5 | 3272 | |
3273 | // Amplification region | |
3274 | binmax = 0; | |
3275 | ju = 0; | |
3276 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 3277 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 3278 | binmax = kbin; |
3279 | ju = 1; | |
3280 | } | |
3281 | } | |
3a0f6479 | 3282 | |
55a288e5 | 3283 | Double_t minn = 0.0; |
3284 | Double_t maxx = 0.0; | |
3a0f6479 | 3285 | x[0] = 0.0; |
3286 | x[1] = 0.0; | |
3287 | x[2] = 0.0; | |
3288 | x[3] = 0.0; | |
3289 | x[4] = 0.0; | |
3290 | y[0] = 0.0; | |
3291 | y[1] = 0.0; | |
3292 | y[2] = 0.0; | |
3293 | y[3] = 0.0; | |
3294 | y[4] = 0.0; | |
3295 | ||
3296 | Int_t kase1 = nbins - binmax; | |
55a288e5 | 3297 | |
3298 | //Determination of minn and maxx | |
3299 | //case binmax = nbins | |
3300 | //pol2 | |
3a0f6479 | 3301 | switch(kase1) |
3302 | { | |
3303 | case 0: | |
3304 | minn = projPH->GetBinCenter(binmax-2); | |
3305 | maxx = projPH->GetBinCenter(binmax); | |
3306 | x[0] = projPH->GetBinCenter(binmax-2); | |
3307 | x[1] = projPH->GetBinCenter(binmax-1); | |
3308 | x[2] = projPH->GetBinCenter(binmax); | |
3309 | y[0] = projPH->GetBinContent(binmax-2); | |
3310 | y[1] = projPH->GetBinContent(binmax-1); | |
3311 | y[2] = projPH->GetBinContent(binmax); | |
3312 | c = CalculPolynomeLagrange2(x,y); | |
3313 | //AliInfo("At the limit for the drift!"); | |
3314 | break; | |
3315 | case 1: | |
3316 | minn = projPH->GetBinCenter(binmax-2); | |
3317 | maxx = projPH->GetBinCenter(binmax+1); | |
3318 | x[0] = projPH->GetBinCenter(binmax-2); | |
3319 | x[1] = projPH->GetBinCenter(binmax-1); | |
3320 | x[2] = projPH->GetBinCenter(binmax); | |
3321 | x[3] = projPH->GetBinCenter(binmax+1); | |
3322 | y[0] = projPH->GetBinContent(binmax-2); | |
3323 | y[1] = projPH->GetBinContent(binmax-1); | |
3324 | y[2] = projPH->GetBinContent(binmax); | |
3325 | y[3] = projPH->GetBinContent(binmax+1); | |
3326 | c = CalculPolynomeLagrange3(x,y); | |
3327 | break; | |
3328 | default: | |
3329 | switch(binmax) | |
3330 | { | |
3331 | case 0: | |
3332 | put = kFALSE; | |
3333 | break; | |
3334 | case 1: | |
3335 | minn = projPH->GetBinCenter(binmax); | |
3336 | maxx = projPH->GetBinCenter(binmax+2); | |
3337 | x[0] = projPH->GetBinCenter(binmax); | |
3338 | x[1] = projPH->GetBinCenter(binmax+1); | |
3339 | x[2] = projPH->GetBinCenter(binmax+2); | |
3340 | y[0] = projPH->GetBinContent(binmax); | |
3341 | y[1] = projPH->GetBinContent(binmax+1); | |
3342 | y[2] = projPH->GetBinContent(binmax+2); | |
3343 | c = CalculPolynomeLagrange2(x,y); | |
3344 | break; | |
3345 | case 2: | |
3346 | minn = projPH->GetBinCenter(binmax-1); | |
3347 | maxx = projPH->GetBinCenter(binmax+2); | |
3348 | x[0] = projPH->GetBinCenter(binmax-1); | |
3349 | x[1] = projPH->GetBinCenter(binmax); | |
3350 | x[2] = projPH->GetBinCenter(binmax+1); | |
3351 | x[3] = projPH->GetBinCenter(binmax+2); | |
3352 | y[0] = projPH->GetBinContent(binmax-1); | |
3353 | y[1] = projPH->GetBinContent(binmax); | |
3354 | y[2] = projPH->GetBinContent(binmax+1); | |
3355 | y[3] = projPH->GetBinContent(binmax+2); | |
3356 | c = CalculPolynomeLagrange3(x,y); | |
3357 | break; | |
3358 | default: | |
3359 | minn = projPH->GetBinCenter(binmax-2); | |
3360 | maxx = projPH->GetBinCenter(binmax+2); | |
3361 | x[0] = projPH->GetBinCenter(binmax-2); | |
3362 | x[1] = projPH->GetBinCenter(binmax-1); | |
3363 | x[2] = projPH->GetBinCenter(binmax); | |
3364 | x[3] = projPH->GetBinCenter(binmax+1); | |
3365 | x[4] = projPH->GetBinCenter(binmax+2); | |
3366 | y[0] = projPH->GetBinContent(binmax-2); | |
3367 | y[1] = projPH->GetBinContent(binmax-1); | |
3368 | y[2] = projPH->GetBinContent(binmax); | |
3369 | y[3] = projPH->GetBinContent(binmax+1); | |
3370 | y[4] = projPH->GetBinContent(binmax+2); | |
3371 | c = CalculPolynomeLagrange4(x,y); | |
3372 | break; | |
3373 | } | |
3374 | break; | |
55a288e5 | 3375 | } |
3a0f6479 | 3376 | |
55a288e5 | 3377 | if(put) { |
3378 | polynomea = new TF1("pola","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minn,maxx); | |
3379 | polynomea->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
3a0f6479 | 3380 | |
55a288e5 | 3381 | Double_t step = (maxx-minn)/1000; |
3382 | Double_t l = minn; | |
3383 | Double_t maxvalue = 0.0; | |
3384 | Double_t placemaximum = minn; | |
3385 | for(Int_t o = 0; o < 1000; o++){ | |
3386 | if(o == 0) maxvalue = polynomea->Eval(l); | |
3387 | if(maxvalue < (polynomea->Eval(l))){ | |
3388 | maxvalue = polynomea->Eval(l); | |
3389 | placemaximum = l; | |
3390 | } | |
3391 | l += step; | |
3392 | } | |
3393 | fPhd[1] = placemaximum; | |
3394 | } | |
3395 | ||
55a288e5 | 3396 | // Drift region |
3397 | TH1D *pente = new TH1D("pente","pente", projPH->GetNbinsX(),0,(Float_t) limit); | |
3398 | for (Int_t k = TMath::Min(binmax+4, projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
3399 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
3400 | } | |
3401 | binmin = 0; | |
3402 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
3403 | ||
3404 | //should not happen | |
3405 | if (binmin <= 1) { | |
3406 | binmin = 2; | |
3407 | put = 1; | |
3408 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
3409 | } | |
3410 | ||
3411 | //check | |
3412 | if((projPH->GetBinContent(binmin)-projPH->GetBinError(binmin)) < (projPH->GetBinContent(binmin+1))) put = kFALSE; | |
3413 | if((projPH->GetBinContent(binmin)+projPH->GetBinError(binmin)) > (projPH->GetBinContent(binmin-1))) put = kFALSE; | |
3a0f6479 | 3414 | |
3415 | x[0] = 0.0; | |
3416 | x[1] = 0.0; | |
3417 | x[2] = 0.0; | |
3418 | x[3] = 0.0; | |
3419 | x[4] = 0.0; | |
3420 | y[0] = 0.0; | |
3421 | y[1] = 0.0; | |
3422 | y[2] = 0.0; | |
3423 | y[3] = 0.0; | |
3424 | y[4] = 0.0; | |
55a288e5 | 3425 | Double_t min = 0.0; |
3426 | Double_t max = 0.0; | |
3427 | Bool_t case1 = kFALSE; | |
3428 | Bool_t case2 = kFALSE; | |
3429 | Bool_t case4 = kFALSE; | |
3430 | ||
3431 | //Determination of min and max | |
3432 | //case binmin <= nbins-3 | |
3433 | //pol4 case 3 | |
3434 | if((binmin <= (nbins-3)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3435 | min = pente->GetBinCenter(binmin-2); | |
3436 | max = pente->GetBinCenter(binmin+2); | |
3437 | x[0] = pente->GetBinCenter(binmin-2); | |
3438 | x[1] = pente->GetBinCenter(binmin-1); | |
3439 | x[2] = pente->GetBinCenter(binmin); | |
3440 | x[3] = pente->GetBinCenter(binmin+1); | |
3441 | x[4] = pente->GetBinCenter(binmin+2); | |
3442 | y[0] = pente->GetBinContent(binmin-2); | |
3443 | y[1] = pente->GetBinContent(binmin-1); | |
3444 | y[2] = pente->GetBinContent(binmin); | |
3445 | y[3] = pente->GetBinContent(binmin+1); | |
3446 | y[4] = pente->GetBinContent(binmin+2); | |
3447 | //Calcul the polynome de Lagrange | |
3448 | c = CalculPolynomeLagrange4(x,y); | |
3449 | //richtung +/- | |
3450 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && | |
3451 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) put = kFALSE; | |
3452 | if(((binmin+3) <= (nbins-1)) && | |
3453 | (pente->GetBinContent(binmin+3) <= pente->GetBinContent(binmin+2)) && | |
3454 | ((binmin-3) >= TMath::Min(binmax+4, projPH->GetNbinsX())) && | |
3455 | (pente->GetBinContent(binmin-3) <= pente->GetBinContent(binmin-2))) put = kFALSE; | |
3456 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && | |
3457 | (pente->GetBinContent(binmin-2) > pente->GetBinContent(binmin-1))) case1 = kTRUE; | |
3458 | if((pente->GetBinContent(binmin+2) > pente->GetBinContent(binmin+1)) && | |
3459 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) case4 = kTRUE; | |
3460 | } | |
3461 | //case binmin = nbins-2 | |
3462 | //pol3 case 1 | |
3463 | if(((binmin == (nbins-2)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
3464 | (case1)){ | |
3465 | min = pente->GetBinCenter(binmin-2); | |
3466 | max = pente->GetBinCenter(binmin+1); | |
3467 | x[0] = pente->GetBinCenter(binmin-2); | |
3468 | x[1] = pente->GetBinCenter(binmin-1); | |
3469 | x[2] = pente->GetBinCenter(binmin); | |
3470 | x[3] = pente->GetBinCenter(binmin+1); | |
3471 | y[0] = pente->GetBinContent(binmin-2); | |
3472 | y[1] = pente->GetBinContent(binmin-1); | |
3473 | y[2] = pente->GetBinContent(binmin); | |
3474 | y[3] = pente->GetBinContent(binmin+1); | |
3475 | //Calcul the polynome de Lagrange | |
3476 | c = CalculPolynomeLagrange3(x,y); | |
3477 | //richtung +: nothing | |
3478 | //richtung - | |
3479 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) case2 = kTRUE; | |
3480 | } | |
3481 | //pol3 case 4 | |
3482 | if(((binmin <= (nbins-3)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
3483 | (case4)){ | |
3484 | min = pente->GetBinCenter(binmin-1); | |
3485 | max = pente->GetBinCenter(binmin+2); | |
3486 | x[0] = pente->GetBinCenter(binmin-1); | |
3487 | x[1] = pente->GetBinCenter(binmin); | |
3488 | x[2] = pente->GetBinCenter(binmin+1); | |
3489 | x[3] = pente->GetBinCenter(binmin+2); | |
3490 | y[0] = pente->GetBinContent(binmin-1); | |
3491 | y[1] = pente->GetBinContent(binmin); | |
3492 | y[2] = pente->GetBinContent(binmin+1); | |
3493 | y[3] = pente->GetBinContent(binmin+2); | |
3494 | //Calcul the polynome de Lagrange | |
3495 | c = CalculPolynomeLagrange3(x,y); | |
3496 | //richtung + | |
3497 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) case2 = kTRUE; | |
3498 | } | |
3499 | //pol2 case 5 | |
3500 | if((binmin <= (nbins-3)) && (binmin == TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3501 | min = pente->GetBinCenter(binmin); | |
3502 | max = pente->GetBinCenter(binmin+2); | |
3503 | x[0] = pente->GetBinCenter(binmin); | |
3504 | x[1] = pente->GetBinCenter(binmin+1); | |
3505 | x[2] = pente->GetBinCenter(binmin+2); | |
3506 | y[0] = pente->GetBinContent(binmin); | |
3507 | y[1] = pente->GetBinContent(binmin+1); | |
3508 | y[2] = pente->GetBinContent(binmin+2); | |
3509 | //Calcul the polynome de Lagrange | |
3510 | c = CalculPolynomeLagrange2(x,y); | |
3511 | //richtung + | |
3512 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) put = kFALSE; | |
3513 | } | |
3514 | //pol2 case 2 | |
3515 | if(((binmin == (nbins-2)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
3516 | (case2)){ | |
3517 | min = pente->GetBinCenter(binmin-1); | |
3518 | max = pente->GetBinCenter(binmin+1); | |
3519 | x[0] = pente->GetBinCenter(binmin-1); | |
3520 | x[1] = pente->GetBinCenter(binmin); | |
3521 | x[2] = pente->GetBinCenter(binmin+1); | |
3522 | y[0] = pente->GetBinContent(binmin-1); | |
3523 | y[1] = pente->GetBinContent(binmin); | |
3524 | y[2] = pente->GetBinContent(binmin+1); | |
3525 | //Calcul the polynome de Lagrange | |
3526 | c = CalculPolynomeLagrange2(x,y); | |
3527 | //richtung +: nothing | |
3528 | //richtung -: nothing | |
3529 | } | |
3530 | //case binmin = nbins-1 | |
3531 | //pol2 case 0 | |
3532 | if((binmin == (nbins-1)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3533 | min = pente->GetBinCenter(binmin-2); | |
3534 | max = pente->GetBinCenter(binmin); | |
3535 | x[0] = pente->GetBinCenter(binmin-2); | |
3536 | x[1] = pente->GetBinCenter(binmin-1); | |
3537 | x[2] = pente->GetBinCenter(binmin); | |
3538 | y[0] = pente->GetBinContent(binmin-2); | |
3539 | y[1] = pente->GetBinContent(binmin-1); | |
3540 | y[2] = pente->GetBinContent(binmin); | |
3541 | //Calcul the polynome de Lagrange | |
3542 | c = CalculPolynomeLagrange2(x,y); | |
3a0f6479 | 3543 | //AliInfo("At the limit for the drift!"); |
55a288e5 | 3544 | //fluctuation too big! |
3545 | //richtung +: nothing | |
3546 | //richtung - | |
3547 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) put = kFALSE; | |
3548 | } | |
3549 | if((binmin == (nbins-1)) && ((binmin-2) < TMath::Min(binmax+4, projPH->GetNbinsX()))) { | |
3550 | put = kFALSE; | |
3551 | AliInfo("At the limit for the drift and not usable!"); | |
3552 | } | |
3553 | ||
3554 | //pass | |
3555 | if((binmin == (nbins-2)) && ((binmin-1) < TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3556 | put = kFALSE; | |
3557 | AliInfo("For the drift...problem!"); | |
3558 | } | |
55a288e5 | 3559 | //pass but should not happen |
3560 | if((binmin <= (nbins-3)) && (binmin < TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3561 | put = kFALSE; | |
3562 | AliInfo("For the drift...problem!"); | |
3563 | } | |
3a0f6479 | 3564 | |
55a288e5 | 3565 | if(put) { |
3566 | polynome = new TF1("pol","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",min,max); | |
3567 | polynome->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
55a288e5 | 3568 | //AliInfo(Form("GetMinimum of the function %f",polynome->GetMinimumX())); |
3569 | Double_t step = (max-min)/1000; | |
3570 | Double_t l = min; | |
3571 | Double_t minvalue = 0.0; | |
3572 | Double_t placeminimum = min; | |
3573 | for(Int_t o = 0; o < 1000; o++){ | |
3574 | if(o == 0) minvalue = polynome->Eval(l); | |
3575 | if(minvalue > (polynome->Eval(l))){ | |
3576 | minvalue = polynome->Eval(l); | |
3577 | placeminimum = l; | |
3578 | } | |
3579 | l += step; | |
3580 | } | |
3581 | fPhd[2] = placeminimum; | |
3582 | } | |
3a0f6479 | 3583 | |
55a288e5 | 3584 | Float_t fPhdt0 = 0.0; |
3585 | if(fTakeTheMaxPH) fPhdt0 = fPhd[1]; | |
3586 | else fPhdt0 = fPhd[0]; | |
3587 | ||
3588 | if ((fPhd[2] > fPhd[0]) && | |
3589 | (fPhd[2] > fPhd[1]) && | |
3590 | (fPhd[1] > fPhd[0]) && | |
3591 | (put)) { | |
3a0f6479 | 3592 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
3593 | fNumberFitSuccess++; | |
55a288e5 | 3594 | if (fPhdt0 >= 0.0) { |
3a0f6479 | 3595 | fCurrentCoef2[0] = (fPhdt0 - fT0Shift) / widbins; |
3596 | if (fCurrentCoef2[0] < -1.0) { | |
3597 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3598 | } |
3599 | } | |
3600 | else { | |
3a0f6479 | 3601 | fCurrentCoef2[0] = fCurrentCoef2[1]; |
55a288e5 | 3602 | } |
3603 | } | |
3604 | else { | |
3a0f6479 | 3605 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3606 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
3607 | //printf("Fit failed!\n"); | |
55a288e5 | 3608 | } |
3609 | ||
3a0f6479 | 3610 | if (fDebugLevel == 1) { |
55a288e5 | 3611 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
3612 | cpentei->cd(); | |
3613 | projPH->Draw(); | |
3614 | line->SetLineColor(2); | |
3615 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
3616 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
3617 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
3618 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
3619 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
3620 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 3621 | AliInfo(Form("fVriftCoef[3] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 3622 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
3623 | cpentei2->cd(); | |
3624 | pentea->Draw(); | |
3625 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
3626 | cpentei3->cd(); | |
3627 | pente->Draw(); | |
3628 | } | |
3a0f6479 | 3629 | else { |
55a288e5 | 3630 | delete pentea; |
3631 | delete pente; | |
3632 | delete polynome; | |
3633 | delete polynomea; | |
3634 | delete polynomeb; | |
3635 | } | |
3a0f6479 | 3636 | |
55a288e5 | 3637 | projPH->SetDirectory(0); |
3638 | ||
3639 | } | |
3640 | ||
3641 | //_____________________________________________________________________________ | |
3642 | void AliTRDCalibraFit::FitPH(TH1* projPH, Int_t idect) | |
3643 | { | |
3644 | // | |
3645 | // Fit methode for the drift velocity | |
3646 | // | |
3647 | ||
3648 | // Constants | |
3649 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3650 | ||
3651 | // Some variables | |
3652 | TAxis *xpph = projPH->GetXaxis(); | |
3653 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
3654 | ||
3655 | TF1 *fPH = new TF1("fPH",AliTRDCalibraFit::PH,-0.05,3.2,6); | |
3656 | fPH->SetParameter(0,0.469); // Scaling | |
3657 | fPH->SetParameter(1,0.18); // Start | |
3658 | fPH->SetParameter(2,0.0857325); // AR | |
3659 | fPH->SetParameter(3,1.89); // DR | |
3660 | fPH->SetParameter(4,0.08); // QA/QD | |
3661 | fPH->SetParameter(5,0.0); // Baseline | |
3662 | ||
3663 | TLine *line = new TLine(); | |
3664 | ||
3a0f6479 | 3665 | fCurrentCoef[0] = 0.0; |
3666 | fCurrentCoef2[0] = 0.0; | |
3667 | fCurrentCoefE = 0.0; | |
3668 | fCurrentCoefE2 = 0.0; | |
55a288e5 | 3669 | |
3670 | if (idect%fFitPHPeriode == 0) { | |
3671 | ||
3a0f6479 | 3672 | AliInfo(Form("The detector %d will be fitted",idect)); |
55a288e5 | 3673 | fPH->SetParameter(0,(projPH->Integral()-(projPH->GetBinContent(1)*projPH->GetNbinsX())) * 0.00028); // Scaling |
3674 | fPH->SetParameter(1,fPhd[0] - 0.1); // Start | |
3675 | fPH->SetParameter(2,fPhd[1] - fPhd[0]); // AR | |
3676 | fPH->SetParameter(3,fPhd[2] - fPhd[1]); // DR | |
3677 | fPH->SetParameter(4,0.225); // QA/QD | |
3678 | fPH->SetParameter(5,(Float_t) projPH->GetBinContent(1)); | |
3679 | ||
3a0f6479 | 3680 | if (fDebugLevel != 1) { |
55a288e5 | 3681 | projPH->Fit(fPH,"0M","",0.0,upedge); |
3682 | } | |
3a0f6479 | 3683 | else { |
55a288e5 | 3684 | TCanvas *cpente = new TCanvas("cpente","cpente",50,50,600,800); |
3685 | cpente->cd(); | |
3686 | projPH->Fit(fPH,"M+","",0.0,upedge); | |
3687 | projPH->Draw("E0"); | |
3688 | line->SetLineColor(4); | |
3689 | line->DrawLine(fPH->GetParameter(1) | |
3690 | ,0 | |
3691 | ,fPH->GetParameter(1) | |
3692 | ,projPH->GetMaximum()); | |
3693 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2) | |
3694 | ,0 | |
3695 | ,fPH->GetParameter(1)+fPH->GetParameter(2) | |
3696 | ,projPH->GetMaximum()); | |
3697 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
3698 | ,0 | |
3699 | ,fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
3700 | ,projPH->GetMaximum()); | |
3701 | } | |
3702 | ||
3703 | if (fPH->GetParameter(3) != 0) { | |
3a0f6479 | 3704 | fNumberFitSuccess++; |
3705 | fCurrentCoef[0] = kDrWidth / (fPH->GetParameter(3)); | |
3706 | fCurrentCoefE = (fPH->GetParError(3)/fPH->GetParameter(3))*fCurrentCoef[0]; | |
3707 | fCurrentCoef2[0] = fPH->GetParameter(1); | |
3708 | fCurrentCoefE2 = fPH->GetParError(1); | |
55a288e5 | 3709 | } |
3710 | else { | |
3a0f6479 | 3711 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3712 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3713 | } |
3a0f6479 | 3714 | |
55a288e5 | 3715 | } |
55a288e5 | 3716 | else { |
3717 | ||
3a0f6479 | 3718 | // Put the default value |
3719 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3720 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3721 | } |
3722 | ||
3a0f6479 | 3723 | if (fDebugLevel != 1) { |
55a288e5 | 3724 | delete fPH; |
3725 | } | |
3726 | ||
3727 | } | |
55a288e5 | 3728 | //_____________________________________________________________________________ |
3a0f6479 | 3729 | Bool_t AliTRDCalibraFit::FitPRFGausMI(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nBins, Float_t xMin, Float_t xMax) |
55a288e5 | 3730 | { |
3731 | // | |
3732 | // Fit methode for the sigma of the pad response function | |
3733 | // | |
3a0f6479 | 3734 | |
3735 | TVectorD param(3); | |
55a288e5 | 3736 | |
3a0f6479 | 3737 | fCurrentCoef[0] = 0.0; |
3738 | fCurrentCoefE = 0.0; | |
3739 | ||
3740 | Double_t ret = FitGausMI(arraye, arraym, arrayme, nBins, xMin, xMax,¶m); | |
3741 | ||
3742 | if(ret == -4){ | |
3743 | fCurrentCoef[0] = -fCurrentCoef[1]; | |
3744 | return kFALSE; | |
3745 | } | |
3746 | else { | |
3747 | fNumberFitSuccess++; | |
3748 | fCurrentCoef[0] = param[2]; | |
3749 | fCurrentCoefE = ret; | |
3750 | return kTRUE; | |
3751 | } | |
3752 | } | |
3753 | //_____________________________________________________________________________ | |
3754 | 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 kError) | |
3755 | { | |
3756 | // | |
3757 | // Fit methode for the sigma of the pad response function | |
3758 | // | |
3759 | ||
3760 | //We should have at least 3 points | |
3761 | if(nBins <=3) return -4.0; | |
3762 | ||
3763 | TLinearFitter fitter(3,"pol2"); | |
3764 | fitter.StoreData(kFALSE); | |
3765 | fitter.ClearPoints(); | |
3766 | TVectorD par(3); | |
3767 | Float_t binWidth = (xMax-xMin)/(Float_t)nBins; | |
3768 | Float_t entries = 0; | |
3769 | Int_t nbbinwithentries = 0; | |
3770 | for (Int_t i=0; i<nBins; i++){ | |
3771 | entries+=arraye[i]; | |
3772 | if(arraye[i] > 15) nbbinwithentries++; | |
3773 | //printf("entries for i %d: %f\n",i,arraye[i]); | |
3774 | } | |
3775 | if ((entries<700) || (nbbinwithentries < ((Int_t)(nBins/2)))) return -4; | |
3776 | //printf("entries %f\n",entries); | |
3777 | //printf("nbbinwithentries %d\n",nbbinwithentries); | |
3778 | ||
3779 | Int_t npoints=0; | |
3780 | Float_t errorm = 0.0; | |
3781 | Float_t errorn = 0.0; | |
3782 | Float_t error = 0.0; | |
3783 | ||
3784 | // | |
3785 | for (Int_t ibin=0;ibin<nBins; ibin++){ | |
3786 | Float_t entriesI = arraye[ibin]; | |
3787 | Float_t valueI = arraym[ibin]; | |
3788 | Double_t xcenter = 0.0; | |
3789 | Float_t val = 0.0; | |
3790 | if ((entriesI>15) && (valueI>0.0)){ | |
3791 | xcenter = xMin+(ibin+0.5)*binWidth; | |
3792 | errorm = 0.0; | |
3793 | errorn = 0.0; | |
3794 | error = 0.0; | |
3795 | if(!kError){ | |
3796 | if((valueI + 0.01) > 0.0) errorm = TMath::Log((valueI + 0.01)/valueI); | |
3797 | if((valueI - 0.01) > 0.0) errorn = TMath::Log((valueI - 0.01)/valueI); | |
3798 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
3799 | } | |
3800 | else{ | |
3801 | if((valueI + arrayme[ibin]) > 0.0) errorm = TMath::Log((valueI + arrayme[ibin])/valueI); | |
3802 | if((valueI - arrayme[ibin]) > 0.0) errorn = TMath::Log((valueI - arrayme[ibin])/valueI); | |
3803 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
3804 | } | |
3805 | if(error == 0.0) continue; | |
3806 | val = TMath::Log(Float_t(valueI)); | |
3807 | fitter.AddPoint(&xcenter,val,error); | |
3808 | npoints++; | |
3809 | } | |
3810 | ||
3811 | if(fDebugLevel > 1){ | |
55a288e5 | 3812 | |
3a0f6479 | 3813 | if ( !fDebugStreamer ) { |
3814 | //debug stream | |
3815 | TDirectory *backup = gDirectory; | |
3816 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
3817 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3818 | } | |
3819 | ||
3820 | Int_t detector = fCountDet; | |
3821 | Int_t plane = GetPlane(fCountDet); | |
3822 | Int_t group = ibin; | |
3823 | ||
3824 | (* fDebugStreamer) << "FitGausMIFill"<< | |
3825 | "detector="<<detector<< | |
3826 | "plane="<<plane<< | |
3827 | "nbins="<<nBins<< | |
3828 | "group="<<group<< | |
3829 | "entriesI="<<entriesI<< | |
3830 | "valueI="<<valueI<< | |
3831 | "val="<<val<< | |
3832 | "xcenter="<<xcenter<< | |
3833 | "errorm="<<errorm<< | |
3834 | "errorn="<<errorn<< | |
3835 | "error="<<error<< | |
3836 | "kError="<<kError<< | |
3837 | "\n"; | |
3838 | } | |
3839 | ||
3840 | } | |
3841 | ||
3842 | if(npoints <=3) return -4.0; | |
3843 | ||
3844 | Double_t chi2 = 0; | |
3845 | if (npoints>3){ | |
3846 | fitter.Eval(); | |
3847 | fitter.GetParameters(par); | |
3848 | chi2 = fitter.GetChisquare()/Float_t(npoints); | |
55a288e5 | 3849 | |
3a0f6479 | 3850 | |
3851 | if (!param) param = new TVectorD(3); | |
3852 | if(par[2] == 0.0) return -4.0; | |
3853 | Double_t x = TMath::Sqrt(TMath::Abs(-2*par[2])); | |
3854 | Double_t deltax = (fitter.GetParError(2))/x; | |
3855 | Double_t errorparam2 = TMath::Abs(deltax)/(x*x); | |
3856 | chi2 = errorparam2; | |
55a288e5 | 3857 | |
3a0f6479 | 3858 | (*param)[1] = par[1]/(-2.*par[2]); |
3859 | (*param)[2] = 1./TMath::Sqrt(TMath::Abs(-2.*par[2])); | |
3860 | Double_t lnparam0 = par[0]+ par[1]* (*param)[1] + par[2]*(*param)[1]*(*param)[1]; | |
3861 | if ( lnparam0>307 ) return -4; | |
3862 | (*param)[0] = TMath::Exp(lnparam0); | |
3863 | ||
3864 | if(fDebugLevel > 1){ | |
3865 | ||
3866 | if ( !fDebugStreamer ) { | |
3867 | //debug stream | |
3868 | TDirectory *backup = gDirectory; | |
3869 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
3870 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3871 | } | |
3872 | ||
3873 | Int_t detector = fCountDet; | |
3874 | Int_t plane = GetPlane(fCountDet); | |
3875 | ||
3876 | ||
3877 | (* fDebugStreamer) << "FitGausMIFit"<< | |
3878 | "detector="<<detector<< | |
3879 | "plane="<<plane<< | |
3880 | "nbins="<<nBins<< | |
3881 | "errorsigma="<<chi2<< | |
3882 | "mean="<<(*param)[1]<< | |
3883 | "sigma="<<(*param)[2]<< | |
3884 | "constant="<<(*param)[0]<< | |
3885 | "\n"; | |
3886 | } | |
3887 | } | |
3888 | ||
3889 | if((chi2/(*param)[2]) > 0.1){ | |
3890 | if(kError){ | |
3891 | chi2 = FitGausMI(arraye,arraym,arrayme,nBins,xMin,xMax,param,kFALSE); | |
3892 | } | |
3893 | else return -4.0; | |
55a288e5 | 3894 | } |
3a0f6479 | 3895 | |
3896 | if(fDebugLevel == 1){ | |
3897 | TString name("PRF"); | |
3898 | name += (Int_t)xMin; | |
3899 | name += (Int_t)xMax; | |
3900 | TCanvas *c1 = new TCanvas((const char *)name,(const char *)name,50,50,600,800); | |
3901 | c1->cd(); | |
3902 | name += "histo"; | |
3903 | TH1F *histo = new TH1F((const char *)name,(const char *)name,nBins,xMin,xMax); | |
3904 | for(Int_t k = 0; k < nBins; k++){ | |
3905 | histo->SetBinContent(k+1,arraym[k]); | |
3906 | histo->SetBinError(k+1,arrayme[k]); | |
3907 | } | |
3908 | histo->Draw(); | |
3909 | name += "functionf"; | |
3910 | TF1 *f1= new TF1((const char*)name,"[0]*exp(-(x-[1])^2/(2*[2]*[2]))",xMin,xMax); | |
3911 | f1->SetParameter(0, (*param)[0]); | |
3912 | f1->SetParameter(1, (*param)[1]); | |
3913 | f1->SetParameter(2, (*param)[2]); | |
3914 | f1->Draw("same"); | |
3915 | } | |
3916 | ||
3917 | ||
3918 | return chi2; | |
3919 | ||
3920 | } | |
3921 | //_____________________________________________________________________________ | |
3922 | void AliTRDCalibraFit::FitPRF(TH1 *projPRF) | |
3923 | { | |
3924 | // | |
3925 | // Fit methode for the sigma of the pad response function | |
3926 | // | |
55a288e5 | 3927 | |
3a0f6479 | 3928 | fCurrentCoef[0] = 0.0; |
3929 | fCurrentCoefE = 0.0; | |
3930 | ||
3931 | if (fDebugLevel != 1) { | |
3932 | projPRF->Fit("gaus","0M","",-fRangeFitPRF,fRangeFitPRF); | |
3933 | } | |
3934 | else { | |
55a288e5 | 3935 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); |
3936 | cfit->cd(); | |
3937 | projPRF->Fit("gaus","M+","",-fRangeFitPRF,fRangeFitPRF); | |
3938 | projPRF->Draw(); | |
55a288e5 | 3939 | } |
3a0f6479 | 3940 | fCurrentCoef[0] = projPRF->GetFunction("gaus")->GetParameter(2); |
3941 | fCurrentCoefE = projPRF->GetFunction("gaus")->GetParError(2); | |
3942 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
55a288e5 | 3943 | else { |
3a0f6479 | 3944 | fNumberFitSuccess++; |
55a288e5 | 3945 | } |
3a0f6479 | 3946 | } |
3947 | //_____________________________________________________________________________ | |
3948 | void AliTRDCalibraFit::RmsPRF(TH1 *projPRF) | |
3949 | { | |
3950 | // | |
3951 | // Fit methode for the sigma of the pad response function | |
3952 | // | |
3953 | fCurrentCoef[0] = 0.0; | |
3954 | fCurrentCoefE = 0.0; | |
3955 | if (fDebugLevel == 1) { | |
3956 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); | |
3957 | cfit->cd(); | |
3958 | projPRF->Draw(); | |
55a288e5 | 3959 | } |
3a0f6479 | 3960 | fCurrentCoef[0] = projPRF->GetRMS(); |
3961 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
3962 | else { | |
3963 | fNumberFitSuccess++; | |
55a288e5 | 3964 | } |
55a288e5 | 3965 | } |
55a288e5 | 3966 | //_____________________________________________________________________________ |
3a0f6479 | 3967 | void AliTRDCalibraFit::FitTnpRange(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nbg, Int_t nybins) |
55a288e5 | 3968 | { |
3969 | // | |
3a0f6479 | 3970 | // Fit methode for the sigma of the pad response function with 2*nbg tan bins |
55a288e5 | 3971 | // |
3972 | ||
3a0f6479 | 3973 | TLinearFitter linearfitter = TLinearFitter(3,"pol2"); |
55a288e5 | 3974 | |
55a288e5 | 3975 | |
3a0f6479 | 3976 | Int_t nbins = (Int_t)(nybins/(2*nbg)); |
3977 | Float_t lowedge = -3.0*nbg; | |
3978 | Float_t upedge = lowedge + 3.0; | |
3979 | Int_t offset = 0; | |
3980 | Int_t npoints = 0; | |
3981 | Double_t xvalues = -0.2*nbg+0.1; | |
3982 | Double_t y = 0.0; | |
3983 | Int_t total = 2*nbg; | |
55a288e5 | 3984 | |
3a0f6479 | 3985 | |
3986 | for(Int_t k = 0; k < total; k++){ | |
3987 | if(FitPRFGausMI(arraye+offset, arraym+offset, arrayme+offset, nbins, lowedge, upedge)){ | |
3988 | npoints++; | |
3989 | y = fCurrentCoef[0]*fCurrentCoef[0]; | |
3990 | linearfitter.AddPoint(&xvalues,y,2*fCurrentCoefE*fCurrentCoef[0]); | |
3991 | } | |
3992 | ||
3993 | if(fDebugLevel > 1){ | |
3994 | ||
3995 | if ( !fDebugStreamer ) { | |
3996 | //debug stream | |
3997 | TDirectory *backup = gDirectory; | |
3998 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
3999 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
4000 | } | |
4001 | ||
4002 | Int_t detector = fCountDet; | |
4003 | Int_t plane = GetPlane(fCountDet); | |
4004 | Int_t nbtotal = total; | |
4005 | Int_t group = k; | |
4006 | Float_t low = lowedge; | |
4007 | Float_t up = upedge; | |
4008 | Float_t tnp = xvalues; | |
4009 | Float_t wid = fCurrentCoef[0]; | |
4010 | Float_t widfE = fCurrentCoefE; | |
4011 | ||
4012 | (* fDebugStreamer) << "FitTnpRangeFill"<< | |
4013 | "detector="<<detector<< | |
4014 | "plane="<<plane<< | |
4015 | "nbtotal="<<nbtotal<< | |
4016 | "group="<<group<< | |
4017 | "low="<<low<< | |
4018 | "up="<<up<< | |
4019 | "offset="<<offset<< | |
4020 | "tnp="<<tnp<< | |
4021 | "wid="<<wid<< | |
4022 | "widfE="<<widfE<< | |
4023 | "\n"; | |
4024 | } | |
4025 | ||
4026 | offset += nbins; | |
4027 | lowedge += 3.0; | |
4028 | upedge += 3.0; | |
4029 | xvalues += 0.2; | |
4030 | ||
4031 | } | |
4032 | ||
4033 | fCurrentCoefE = 0.0; | |
4034 | fCurrentCoef[0] = 0.0; | |
4035 | ||
4036 | //printf("npoints\n",npoints); | |
4037 | ||
4038 | if(npoints < 3){ | |
4039 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4040 | } | |
4041 | else{ | |
4042 | ||
4043 | TVectorD pars0; | |
4044 | linearfitter.Eval(); | |
4045 | linearfitter.GetParameters(pars0); | |
4046 | Double_t pointError0 = TMath::Sqrt(linearfitter.GetChisquare()/npoints); | |
4047 | Double_t errorsx0 = linearfitter.GetParError(2)*pointError0; | |
4048 | Double_t min0 = 0.0; | |
4049 | Double_t ermin0 = 0.0; | |
4050 | //Double_t prfe0 = 0.0; | |
4051 | Double_t prf0 = 0.0; | |
4052 | if((pars0[2] > 0.0) && (pars0[1] != 0.0)) { | |
4053 | min0 = -pars0[1]/(2*pars0[2]); | |
4054 | ermin0 = TMath::Abs(min0*(errorsx0/pars0[2]+linearfitter.GetParError(1)*pointError0/pars0[1])); | |
4055 | prf0 = pars0[0]+pars0[1]*min0+pars0[2]*min0*min0; | |
4056 | if(prf0 > 0.0) { | |
4057 | /* | |
4058 | prfe0 = linearfitter->GetParError(0)*pointError0 | |
4059 | +(linearfitter->GetParError(1)*pointError0/pars0[1]+ermin0/min0)*pars0[1]*min0 | |
4060 | +(linearfitter->GetParError(2)*pointError0/pars0[2]+2*ermin0/min0)*pars0[2]*min0*min0; | |
4061 | prfe0 = prfe0/(2*TMath::Sqrt(prf0)); | |
4062 | fCurrentCoefE = (Float_t) prfe0; | |
4063 | */ | |
4064 | fCurrentCoef[0] = (Float_t) TMath::Sqrt(TMath::Abs(prf0)); | |
4065 | } | |
4066 | else{ | |
4067 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4068 | } | |
4069 | } | |
4070 | else { | |
4071 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4072 | } | |
55a288e5 | 4073 | |
3a0f6479 | 4074 | if(fDebugLevel > 1){ |
4075 | ||
4076 | if ( !fDebugStreamer ) { | |
4077 | //debug stream | |
4078 | TDirectory *backup = gDirectory; | |
4079 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
4080 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
4081 | } | |
4082 | ||
4083 | Int_t detector = fCountDet; | |
4084 | Int_t plane = GetPlane(fCountDet); | |
4085 | Int_t nbtotal = total; | |
4086 | Double_t colsize[6] = {0.635,0.665,0.695,0.725,0.755,0.785}; | |
4087 | Double_t sigmax = TMath::Sqrt(TMath::Abs(pars0[2]))*10000*colsize[plane]; | |
4088 | ||
4089 | (* fDebugStreamer) << "FitTnpRangeFit"<< | |
4090 | "detector="<<detector<< | |
4091 | "plane="<<plane<< | |
4092 | "nbtotal="<<nbtotal<< | |
4093 | "par0="<<pars0[0]<< | |
4094 | "par1="<<pars0[1]<< | |
4095 | "par2="<<pars0[2]<< | |
4096 | "npoints="<<npoints<< | |
4097 | "sigmax="<<sigmax<< | |
4098 | "tan="<<min0<< | |
4099 | "sigmaprf="<<fCurrentCoef[0]<< | |
4100 | "sigprf="<<fCurrentCoef[1]<< | |
4101 | "\n"; | |
4102 | } | |
4103 | ||
55a288e5 | 4104 | } |
4105 | ||
4106 | } | |
55a288e5 | 4107 | //_____________________________________________________________________________ |
3a0f6479 | 4108 | void AliTRDCalibraFit::FitMean(TH1 *projch, Double_t nentries, Double_t mean) |
55a288e5 | 4109 | { |
4110 | // | |
4111 | // Only mean methode for the gain factor | |
4112 | // | |
4113 | ||
3a0f6479 | 4114 | fCurrentCoef[0] = mean; |
4115 | fCurrentCoefE = 0.0; | |
4116 | if(nentries > 0) fCurrentCoefE = projch->GetRMS()/TMath::Sqrt(nentries); | |
4117 | if (fDebugLevel == 1) { | |
55a288e5 | 4118 | TCanvas *cpmean = new TCanvas("cpmean","cpmean",50,50,600,800); |
4119 | cpmean->cd(); | |
4120 | projch->Draw(); | |
4121 | } | |
3a0f6479 | 4122 | CalculChargeCoefMean(kTRUE); |
4123 | fNumberFitSuccess++; | |
55a288e5 | 4124 | } |
55a288e5 | 4125 | //_____________________________________________________________________________ |
3a0f6479 | 4126 | void AliTRDCalibraFit::FitMeanW(TH1 *projch, Double_t nentries) |
55a288e5 | 4127 | { |
4128 | // | |
4129 | // mean w methode for the gain factor | |
4130 | // | |
4131 | ||
4132 | //Number of bins | |
4133 | Int_t nybins = projch->GetNbinsX(); | |
4134 | ||
4135 | //The weight function | |
4136 | Double_t a = 0.00228515; | |
4137 | Double_t b = -0.00231487; | |
4138 | Double_t c = 0.00044298; | |
4139 | Double_t d = -0.00379239; | |
4140 | Double_t e = 0.00338349; | |
4141 | ||
3a0f6479 | 4142 | // 0 |0.00228515 |
4143 | // 1 |-0.00231487 | |
4144 | // 2 |0.00044298 | |
4145 | // 3 |-0.00379239 | |
4146 | // 4 |0.00338349 | |
4147 | ||
4148 | ||
55a288e5 | 4149 | |
4150 | //A arbitrary error for the moment | |
3a0f6479 | 4151 | fCurrentCoefE = 0.0; |
4152 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 4153 | |
4154 | //Calcul | |
4155 | Double_t sumw = 0.0; | |
4156 | Double_t sum = 0.0; | |
3a0f6479 | 4157 | Float_t sumAll = (Float_t) nentries; |
55a288e5 | 4158 | Int_t sumCurrent = 0; |
4159 | for(Int_t k = 0; k <nybins; k++){ | |
4160 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
4161 | if (fraction>0.95) break; | |
4162 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
4163 | e*fraction*fraction*fraction*fraction; | |
4164 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
4165 | sum += weight*projch->GetBinContent(k+1); | |
4166 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
4167 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
4168 | } | |
3a0f6479 | 4169 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 4170 | |
3a0f6479 | 4171 | if (fDebugLevel == 1) { |
55a288e5 | 4172 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); |
4173 | cpmeanw->cd(); | |
4174 | projch->Draw(); | |
4175 | } | |
3a0f6479 | 4176 | fNumberFitSuccess++; |
4177 | CalculChargeCoefMean(kTRUE); | |
4178 | } | |
4179 | //_____________________________________________________________________________ | |
4180 | void AliTRDCalibraFit::FitMeanWSm(TH1 *projch, Float_t sumAll) | |
4181 | { | |
4182 | // | |
4183 | // mean w methode for the gain factor | |
4184 | // | |
4185 | ||
4186 | //Number of bins | |
4187 | Int_t nybins = projch->GetNbinsX(); | |
4188 | ||
4189 | //The weight function | |
4190 | Double_t a = 0.00228515; | |
4191 | Double_t b = -0.00231487; | |
4192 | Double_t c = 0.00044298; | |
4193 | Double_t d = -0.00379239; | |
4194 | Double_t e = 0.00338349; | |
4195 | ||
4196 | // 0 |0.00228515 | |
4197 | // 1 |-0.00231487 | |
4198 | // 2 |0.00044298 | |
4199 | // 3 |-0.00379239 | |
4200 | // 4 |0.00338349 | |
4201 | ||
4202 | ||
4203 | ||
4204 | //A arbitrary error for the moment | |
4205 | fCurrentCoefE = 0.0; | |
4206 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 4207 | |
3a0f6479 | 4208 | //Calcul |
4209 | Double_t sumw = 0.0; | |
4210 | Double_t sum = 0.0; | |
4211 | Int_t sumCurrent = 0; | |
4212 | for(Int_t k = 0; k <nybins; k++){ | |
4213 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
4214 | if (fraction>0.95) break; | |
4215 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
4216 | e*fraction*fraction*fraction*fraction; | |
4217 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
4218 | sum += weight*projch->GetBinContent(k+1); | |
4219 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
4220 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
55a288e5 | 4221 | } |
3a0f6479 | 4222 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 4223 | |
3a0f6479 | 4224 | if (fDebugLevel == 1) { |
4225 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); | |
4226 | cpmeanw->cd(); | |
4227 | projch->Draw(); | |
4228 | } | |
4229 | fNumberFitSuccess++; | |
55a288e5 | 4230 | } |
55a288e5 | 4231 | //_____________________________________________________________________________ |
3a0f6479 | 4232 | void AliTRDCalibraFit::FitCH(TH1 *projch, Double_t mean) |
55a288e5 | 4233 | { |
4234 | // | |
4235 | // Fit methode for the gain factor | |
4236 | // | |
4237 | ||
3a0f6479 | 4238 | fCurrentCoef[0] = 0.0; |
4239 | fCurrentCoefE = 0.0; | |
55a288e5 | 4240 | Double_t chisqrl = 0.0; |
4241 | Double_t chisqrg = 0.0; | |
3a0f6479 | 4242 | Double_t chisqr = 0.0; |
55a288e5 | 4243 | TF1 *fLandauGaus = new TF1("fLandauGaus",FuncLandauGaus,0,300,5); |
4244 | ||
4245 | projch->Fit("landau","0","" | |
3a0f6479 | 4246 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 4247 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4248 | Double_t l3P0 = projch->GetFunction("landau")->GetParameter(0); | |
4249 | Double_t l3P1 = projch->GetFunction("landau")->GetParameter(1); | |
4250 | Double_t l3P2 = projch->GetFunction("landau")->GetParameter(2); | |
4251 | chisqrl = projch->GetFunction("landau")->GetChisquare(); | |
4252 | ||
4253 | projch->Fit("gaus","0","" | |
3a0f6479 | 4254 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 4255 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4256 | Double_t g3P0 = projch->GetFunction("gaus")->GetParameter(0); | |
4257 | Double_t g3P2 = projch->GetFunction("gaus")->GetParameter(2); | |
4258 | chisqrg = projch->GetFunction("gaus")->GetChisquare(); | |
4259 | ||
4260 | fLandauGaus->SetParameters(l3P0,l3P1,l3P2,g3P0,g3P2); | |
3a0f6479 | 4261 | if (fDebugLevel != 1) { |
55a288e5 | 4262 | projch->Fit("fLandauGaus","0","" |
3a0f6479 | 4263 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 4264 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4265 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
3a0f6479 | 4266 | } |
4267 | else { | |
55a288e5 | 4268 | TCanvas *cp = new TCanvas("cp","cp",50,50,600,800); |
4269 | cp->cd(); | |
4270 | projch->Fit("fLandauGaus","+","" | |
3a0f6479 | 4271 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 4272 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4273 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
4274 | projch->Draw(); | |
4275 | fLandauGaus->Draw("same"); | |
4276 | } | |
4277 | ||
3a0f6479 | 4278 | if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (projch->GetFunction("fLandauGaus")->GetParError(1) < (0.05*projch->GetFunction("fLandauGaus")->GetParameter(1))) && (chisqr < chisqrl) && (chisqr < chisqrg)) { |
4279 | //if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (chisqr < chisqrl) && (chisqr < chisqrg)) { | |
4280 | fNumberFitSuccess++; | |
4281 | CalculChargeCoefMean(kTRUE); | |
4282 | fCurrentCoef[0] = projch->GetFunction("fLandauGaus")->GetParameter(1); | |
4283 | fCurrentCoefE = projch->GetFunction("fLandauGaus")->GetParError(1); | |
55a288e5 | 4284 | } |
4285 | else { | |
3a0f6479 | 4286 | CalculChargeCoefMean(kFALSE); |
4287 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 4288 | } |
4289 | ||
3a0f6479 | 4290 | if (fDebugLevel != 1) { |
55a288e5 | 4291 | delete fLandauGaus; |
4292 | } | |
4293 | ||
4294 | } | |
55a288e5 | 4295 | //_____________________________________________________________________________ |
3a0f6479 | 4296 | void AliTRDCalibraFit::FitBisCH(TH1* projch, Double_t mean) |
55a288e5 | 4297 | { |
4298 | // | |
4299 | // Fit methode for the gain factor more time consuming | |
4300 | // | |
4301 | ||
3a0f6479 | 4302 | |
55a288e5 | 4303 | //Some parameters to initialise |
e6381f8e | 4304 | Double_t widthLandau, widthGaus, mPV, integral; |
55a288e5 | 4305 | Double_t chisquarel = 0.0; |
4306 | Double_t chisquareg = 0.0; | |
55a288e5 | 4307 | projch->Fit("landau","0M+","" |
3a0f6479 | 4308 | ,(Double_t) mean/6 |
55a288e5 | 4309 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4310 | widthLandau = projch->GetFunction("landau")->GetParameter(2); | |
4311 | chisquarel = projch->GetFunction("landau")->GetChisquare(); | |
55a288e5 | 4312 | projch->Fit("gaus","0M+","" |
3a0f6479 | 4313 | ,(Double_t) mean/6 |
55a288e5 | 4314 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4315 | widthGaus = projch->GetFunction("gaus")->GetParameter(2); | |
4316 | chisquareg = projch->GetFunction("gaus")->GetChisquare(); | |
3a0f6479 | 4317 | |
e6381f8e | 4318 | mPV = (projch->GetFunction("landau")->GetParameter(1))/2; |
4319 | integral = (projch->GetFunction("gaus")->Integral(0.3*mean,3*mean)+projch->GetFunction("landau")->Integral(0.3*mean,3*mean))/2; | |
3a0f6479 | 4320 | |
55a288e5 | 4321 | // Setting fit range and start values |
4322 | Double_t fr[2]; | |
4323 | //Double_t sv[4] = { l3P2, fChargeCoef[1], projch->Integral("width"), fG3P2 }; | |
4324 | //Double_t sv[4] = { fL3P2, fChargeCoef[1], fL3P0, fG3P2 }; | |
e6381f8e | 4325 | Double_t sv[4] = { widthLandau, mPV, integral, widthGaus}; |
55a288e5 | 4326 | Double_t pllo[4] = { 0.001, 0.001, projch->Integral()/3, 0.001}; |
4327 | Double_t plhi[4] = { 300.0, 300.0, 30*projch->Integral(), 300.0}; | |
4328 | Double_t fp[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
4329 | Double_t fpe[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
3a0f6479 | 4330 | fr[0] = 0.3 * mean; |
4331 | fr[1] = 3.0 * mean; | |
4332 | fCurrentCoef[0] = 0.0; | |
4333 | fCurrentCoefE = 0.0; | |
55a288e5 | 4334 | |
4335 | Double_t chisqr; | |
4336 | Int_t ndf; | |
4337 | TF1 *fitsnr = LanGauFit(projch,&fr[0],&sv[0] | |
4338 | ,&pllo[0],&plhi[0] | |
4339 | ,&fp[0],&fpe[0] | |
4340 | ,&chisqr,&ndf); | |
4341 | ||
4342 | Double_t projchPeak; | |
4343 | Double_t projchFWHM; | |
4344 | LanGauPro(fp,projchPeak,projchFWHM); | |
4345 | ||
4346 | if ((fp[1] > 0) && ((fpe[1] < (0.05*fp[1])) && (chisqr < chisquarel) && (chisqr < chisquareg))) { | |
4347 | //if ((fp[1] > 0) && ((chisqr < chisquarel) && (chisqr < chisquareg))) { | |
3a0f6479 | 4348 | fNumberFitSuccess++; |
4349 | CalculChargeCoefMean(kTRUE); | |
4350 | fCurrentCoef[0] = fp[1]; | |
4351 | fCurrentCoefE = fpe[1]; | |
55a288e5 | 4352 | //chargeCoefE2 = chisqr; |
4353 | } | |
4354 | else { | |
3a0f6479 | 4355 | CalculChargeCoefMean(kFALSE); |
4356 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 4357 | } |
3a0f6479 | 4358 | if (fDebugLevel == 1) { |
4359 | AliInfo(Form("fChargeCoef[0]: %f",(Float_t) fCurrentCoef[0])); | |
55a288e5 | 4360 | TCanvas *cpy = new TCanvas("cpy","cpy",50,50,600,800); |
4361 | cpy->cd(); | |
4362 | projch->Draw(); | |
4363 | fitsnr->Draw("same"); | |
4364 | } | |
3a0f6479 | 4365 | else { |
55a288e5 | 4366 | delete fitsnr; |
4367 | } | |
3a0f6479 | 4368 | } |
55a288e5 | 4369 | //_____________________________________________________________________________ |
e6381f8e | 4370 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange2(Double_t *x, Double_t *y) const |
55a288e5 | 4371 | { |
4372 | // | |
4373 | // Calcul the coefficients of the polynome passant par ces trois points de degre 2 | |
4374 | // | |
3a0f6479 | 4375 | Double_t *c = new Double_t[5]; |
55a288e5 | 4376 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])); |
4377 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])); | |
4378 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])); | |
4379 | ||
4380 | c[4] = 0.0; | |
4381 | c[3] = 0.0; | |
4382 | c[2] = x0+x1+x2; | |
4383 | c[1] = -(x0*(x[1]+x[2])+x1*(x[0]+x[2])+x2*(x[0]+x[1])); | |
4384 | c[0] = x0*x[1]*x[2]+x1*x[0]*x[2]+x2*x[0]*x[1]; | |
4385 | ||
4386 | return c; | |
4387 | ||
3a0f6479 | 4388 | |
55a288e5 | 4389 | } |
4390 | ||
4391 | //_____________________________________________________________________________ | |
e6381f8e | 4392 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange3(Double_t *x, Double_t *y) const |
55a288e5 | 4393 | { |
4394 | // | |
4395 | // Calcul the coefficients of the polynome passant par ces quatre points de degre 3 | |
4396 | // | |
55a288e5 | 4397 | Double_t *c = new Double_t[5]; |
4398 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])); | |
4399 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])); | |
4400 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])); | |
4401 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])); | |
4402 | ||
4403 | c[4] = 0.0; | |
4404 | c[3] = x0+x1+x2+x3; | |
4405 | c[2] = -(x0*(x[1]+x[2]+x[3]) | |
4406 | +x1*(x[0]+x[2]+x[3]) | |
4407 | +x2*(x[0]+x[1]+x[3]) | |
4408 | +x3*(x[0]+x[1]+x[2])); | |
4409 | c[1] = (x0*(x[1]*x[2]+x[1]*x[3]+x[2]*x[3]) | |
4410 | +x1*(x[0]*x[2]+x[0]*x[3]+x[2]*x[3]) | |
4411 | +x2*(x[0]*x[1]+x[0]*x[3]+x[1]*x[3]) | |
4412 | +x3*(x[0]*x[1]+x[0]*x[2]+x[1]*x[2])); | |
4413 | ||
4414 | c[0] = -(x0*x[1]*x[2]*x[3] | |
4415 | +x1*x[0]*x[2]*x[3] | |
4416 | +x2*x[0]*x[1]*x[3] | |
4417 | +x3*x[0]*x[1]*x[2]); | |
4418 | ||
3a0f6479 | 4419 | |
55a288e5 | 4420 | return c; |
3a0f6479 | 4421 | |
55a288e5 | 4422 | |
4423 | } | |
4424 | ||
4425 | //_____________________________________________________________________________ | |
e6381f8e | 4426 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange4(Double_t *x, Double_t *y) const |
55a288e5 | 4427 | { |
4428 | // | |
4429 | // Calcul the coefficients of the polynome passant par ces cinqs points de degre 4 | |
4430 | // | |
55a288e5 | 4431 | Double_t *c = new Double_t[5]; |
4432 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])*(x[0]-x[4])); | |
4433 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])*(x[1]-x[4])); | |
4434 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])*(x[2]-x[4])); | |
4435 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])*(x[3]-x[4])); | |
4436 | Double_t x4 = y[4]/((x[4]-x[0])*(x[4]-x[1])*(x[4]-x[2])*(x[4]-x[3])); | |
3a0f6479 | 4437 | |
55a288e5 | 4438 | |
4439 | c[4] = x0+x1+x2+x3+x4; | |
4440 | c[3] = -(x0*(x[1]+x[2]+x[3]+x[4]) | |
4441 | +x1*(x[0]+x[2]+x[3]+x[4]) | |
4442 | +x2*(x[0]+x[1]+x[3]+x[4]) | |
4443 | +x3*(x[0]+x[1]+x[2]+x[4]) | |
4444 | +x4*(x[0]+x[1]+x[2]+x[3])); | |
4445 | c[2] = (x0*(x[1]*x[2]+x[1]*x[3]+x[1]*x[4]+x[2]*x[3]+x[2]*x[4]+x[3]*x[4]) | |
4446 | +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]) | |
4447 | +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]) | |
4448 | +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]) | |
4449 | +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])); | |
4450 | ||
4451 | c[1] = -(x0*(x[1]*x[2]*x[3]+x[1]*x[2]*x[4]+x[1]*x[3]*x[4]+x[2]*x[3]*x[4]) | |
4452 | +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]) | |
4453 | +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]) | |
4454 | +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]) | |
4455 | +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])); | |
4456 | ||
4457 | c[0] = (x0*x[1]*x[2]*x[3]*x[4] | |
4458 | +x1*x[0]*x[2]*x[3]*x[4] | |
4459 | +x2*x[0]*x[1]*x[3]*x[4] | |
4460 | +x3*x[0]*x[1]*x[2]*x[4] | |
4461 | +x4*x[0]*x[1]*x[2]*x[3]); | |
4462 | ||
4463 | return c; | |
3a0f6479 | 4464 | |
55a288e5 | 4465 | |
4466 | } | |
55a288e5 | 4467 | //_____________________________________________________________________________ |
4468 | void AliTRDCalibraFit::NormierungCharge() | |
4469 | { | |
4470 | // | |
4471 | // Normalisation of the gain factor resulting for the fits | |
4472 | // | |
4473 | ||
4474 | // Calcul of the mean of choosen method by fFitChargeNDB | |
4475 | Double_t sum = 0.0; | |
4476 | //printf("total number of entries %d\n",fVectorFitCH->GetEntriesFast()); | |
3a0f6479 | 4477 | for (Int_t k = 0; k < (Int_t) fVectorFit.GetEntriesFast(); k++) { |
55a288e5 | 4478 | Int_t total = 0; |
3a0f6479 | 4479 | Int_t detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); |
4480 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
55a288e5 | 4481 | //printf("detector %d coef[0] %f\n",detector,coef[0]); |
4482 | if (GetChamber(detector) == 2) { | |
4483 | total = 1728; | |
4484 | } | |
4485 | if (GetChamber(detector) != 2) { | |
4486 | total = 2304; | |
4487 | } | |
4488 | for (Int_t j = 0; j < total; j++) { | |
4489 | if (coef[j] >= 0) { | |
4490 | sum += coef[j]; | |
4491 | } | |
4492 | } | |
4493 | } | |
4494 | ||
4495 | if (sum > 0) { | |
4496 | fScaleFitFactor = fScaleFitFactor / sum; | |
4497 | } | |
4498 | else { | |
4499 | fScaleFitFactor = 1.0; | |
3a0f6479 | 4500 | } |
55a288e5 | 4501 | |
3a0f6479 | 4502 | //methode de boeuf mais bon... |
4503 | Double_t scalefactor = fScaleFitFactor; | |
55a288e5 | 4504 | |
3a0f6479 | 4505 | if(fDebugLevel > 1){ |
4506 | ||
4507 | if ( !fDebugStreamer ) { | |
4508 | //debug stream | |
4509 | TDirectory *backup = gDirectory; | |
4510 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
4511 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
4512 | } | |
4513 | (* fDebugStreamer) << "ScaleFactor"<< | |
4514 | "scalefactor="<<scalefactor<< | |
4515 | "\n"; | |
4516 | } | |
55a288e5 | 4517 | } |
55a288e5 | 4518 | //_____________________________________________________________________________ |
4519 | TH1I *AliTRDCalibraFit::ReBin(TH1I *hist) const | |
4520 | { | |
4521 | // | |
4522 | // Rebin of the 1D histo for the gain calibration if needed. | |
4523 | // you have to choose fRebin, divider of fNumberBinCharge | |
4524 | // | |
4525 | ||
3a0f6479 | 4526 | TAxis *xhist = hist->GetXaxis(); |
4527 | TH1I *rehist = new TH1I("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
4528 | ,xhist->GetBinLowEdge(1) | |
4529 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
55a288e5 | 4530 | |
3a0f6479 | 4531 | AliInfo(Form("fRebin: %d",fRebin)); |
4532 | Int_t i = 1; | |
4533 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
4534 | Double_t sum = 0.0; | |
4535 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
4536 | sum += hist->GetBinContent(ji); | |
4537 | } | |
4538 | sum = sum / fRebin; | |
4539 | rehist->SetBinContent(k,sum); | |
4540 | i += fRebin; | |
4541 | } | |
55a288e5 | 4542 | |
3a0f6479 | 4543 | return rehist; |
55a288e5 | 4544 | |
4545 | } | |
4546 | ||
4547 | //_____________________________________________________________________________ | |
4548 | TH1F *AliTRDCalibraFit::ReBin(TH1F *hist) const | |
4549 | { | |
4550 | // | |
4551 | // Rebin of the 1D histo for the gain calibration if needed | |
4552 | // you have to choose fRebin divider of fNumberBinCharge | |
4553 | // | |
4554 | ||
4555 | TAxis *xhist = hist->GetXaxis(); | |
4556 | TH1F *rehist = new TH1F("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
4557 | ,xhist->GetBinLowEdge(1) | |
4558 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
4559 | ||
4560 | AliInfo(Form("fRebin: %d",fRebin)); | |
4561 | Int_t i = 1; | |
4562 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
4563 | Double_t sum = 0.0; | |
4564 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
4565 | sum += hist->GetBinContent(ji); | |
4566 | } | |
4567 | sum = sum/fRebin; | |
4568 | rehist->SetBinContent(k,sum); | |
4569 | i += fRebin; | |
4570 | } | |
4571 | ||
55a288e5 | 4572 | return rehist; |
4573 | ||
4574 | } | |
4575 | ||
4576 | //_____________________________________________________________________________ | |
4577 | TH1F *AliTRDCalibraFit::CorrectTheError(TGraphErrors *hist) | |
4578 | { | |
4579 | // | |
4580 | // In the case of the vectors method the trees contains TGraphErrors for PH and PRF | |
4581 | // to be able to add them after | |
4582 | // We convert it to a TH1F to be able to applied the same fit function method | |
4583 | // After having called this function you can not add the statistics anymore | |
4584 | // | |
4585 | ||
4586 | TH1F *rehist = 0x0; | |
4587 | ||
3a0f6479 | 4588 | Int_t nbins = hist->GetN(); |
55a288e5 | 4589 | Double_t *x = hist->GetX(); |
4590 | Double_t *entries = hist->GetEX(); | |
4591 | Double_t *mean = hist->GetY(); | |
4592 | Double_t *square = hist->GetEY(); | |
4593 | fEntriesCurrent = 0; | |
4594 | ||
4595 | if (nbins < 2) { | |
4596 | return rehist; | |
4597 | } | |
4598 | ||
4599 | Double_t step = x[1] - x[0]; | |
4600 | Double_t minvalue = x[0] - step/2; | |
4601 | Double_t maxvalue = x[(nbins-1)] + step/2; | |
4602 | ||
4603 | rehist = new TH1F("projcorrecterror","",nbins,minvalue,maxvalue); | |
4604 | ||
4605 | for (Int_t k = 0; k < nbins; k++) { | |
4606 | rehist->SetBinContent(k+1,mean[k]); | |
4607 | if (entries[k] > 0.0) { | |
4608 | fEntriesCurrent += (Int_t) entries[k]; | |
4609 | Double_t d = TMath::Abs(square[k] - (mean[k]*mean[k])); | |
4610 | rehist->SetBinError(k+1,TMath::Sqrt(d/entries[k])); | |
4611 | } | |
4612 | else { | |
4613 | rehist->SetBinError(k+1,0.0); | |
4614 | } | |
4615 | } | |
4616 | ||
3a0f6479 | 4617 | if(fEntriesCurrent > 0) fNumberEnt++; |
4618 | ||
55a288e5 | 4619 | return rehist; |
4620 | ||
4621 | } | |
55a288e5 | 4622 | // |
4623 | //____________Some basic geometry function_____________________________________ | |
4624 | // | |
4625 | ||
4626 | //_____________________________________________________________________________ | |
4627 | Int_t AliTRDCalibraFit::GetPlane(Int_t d) const | |
4628 | { | |
4629 | // | |
4630 | // Reconstruct the plane number from the detector number | |
4631 | // | |
4632 | ||
4633 | return ((Int_t) (d % 6)); | |
4634 | ||
4635 | } | |
4636 | ||
4637 | //_____________________________________________________________________________ | |
4638 | Int_t AliTRDCalibraFit::GetChamber(Int_t d) const | |
4639 | { | |
4640 | // | |
4641 | // Reconstruct the chamber number from the detector number | |
4642 | // | |
4643 | Int_t fgkNplan = 6; | |
4644 | ||
4645 | return ((Int_t) (d % 30) / fgkNplan); | |
4646 | ||
4647 | } | |
4648 | ||
4649 | //_____________________________________________________________________________ | |
4650 | Int_t AliTRDCalibraFit::GetSector(Int_t d) const | |
4651 | { | |
4652 | // | |
4653 | // Reconstruct the sector number from the detector number | |
4654 | // | |
4655 | Int_t fg = 30; | |
4656 | ||
4657 | return ((Int_t) (d / fg)); | |
4658 | ||
4659 | } | |
4660 | ||
4661 | // | |
4662 | //____________Fill and Init tree Gain, PRF, Vdrift and T0______________________ | |
4663 | // | |
3a0f6479 | 4664 | //_______________________________________________________________________________ |
4665 | void AliTRDCalibraFit::ResetVectorFit() | |
55a288e5 | 4666 | { |
e6381f8e | 4667 | // |
4668 | // Reset the VectorFits | |
4669 | // | |
4670 | ||
3a0f6479 | 4671 | fVectorFit.SetOwner(); |
4672 | fVectorFit.Clear(); | |
4673 | fVectorFit2.SetOwner(); | |
4674 | fVectorFit2.Clear(); | |
55a288e5 | 4675 | |
55a288e5 | 4676 | } |
55a288e5 | 4677 | // |
4678 | //____________Private Functions________________________________________________ | |
4679 | // | |
4680 | ||
4681 | //_____________________________________________________________________________ | |
4682 | Double_t AliTRDCalibraFit::PH(Double_t *x, Double_t *par) | |
4683 | { | |
4684 | // | |
4685 | // Function for the fit | |
4686 | // | |
4687 | ||
4688 | //TF1 *fAsymmGauss = new TF1("fAsymmGauss",AsymmGauss,0,4,6); | |
4689 | ||
4690 | //PARAMETERS FOR FIT PH | |
4691 | // PASAv.4 | |
4692 | //fAsymmGauss->SetParameter(0,0.113755); | |
4693 | //fAsymmGauss->SetParameter(1,0.350706); | |
4694 | //fAsymmGauss->SetParameter(2,0.0604244); | |
4695 | //fAsymmGauss->SetParameter(3,7.65596); | |
4696 | //fAsymmGauss->SetParameter(4,1.00124); | |
4697 | //fAsymmGauss->SetParameter(5,0.870597); // No tail cancelation | |
4698 | ||
4699 | Double_t xx = x[0]; | |
4700 | ||
4701 | if (xx < par[1]) { | |
4702 | return par[5]; | |
4703 | } | |
4704 | ||
4705 | Double_t dx = 0.005; | |
4706 | Double_t xs = par[1]; | |
4707 | Double_t ss = 0.0; | |
4708 | Double_t paras[2] = { 0.0, 0.0 }; | |
4709 | ||
4710 | while (xs < xx) { | |
4711 | if ((xs >= par[1]) && | |
4712 | (xs < (par[1]+par[2]))) { | |
4713 | //fAsymmGauss->SetParameter(0,par[0]); | |
4714 | //fAsymmGauss->SetParameter(1,xs); | |
4715 | //ss += fAsymmGauss->Eval(xx); | |
4716 | paras[0] = par[0]; | |
4717 | paras[1] = xs; | |
4718 | ss += AsymmGauss(&xx,paras); | |
4719 | } | |
4720 | if ((xs >= (par[1]+par[2])) && | |
4721 | (xs < (par[1]+par[2]+par[3]))) { | |
4722 | //fAsymmGauss->SetParameter(0,par[0]*par[4]); | |
4723 | //fAsymmGauss->SetParameter(1,xs); | |
4724 | //ss += fAsymmGauss->Eval(xx); | |
4725 | paras[0] = par[0]*par[4]; | |
4726 | paras[1] = xs; | |
4727 | ss += AsymmGauss(&xx,paras); | |
4728 | } | |
4729 | xs += dx; | |
4730 | } | |
4731 | ||
4732 | return ss + par[5]; | |
4733 | ||
4734 | } | |
4735 | ||
4736 | //_____________________________________________________________________________ | |
4737 | Double_t AliTRDCalibraFit::AsymmGauss(Double_t *x, Double_t *par) | |
4738 | { | |
4739 | // | |
4740 | // Function for the fit | |
4741 | // | |
4742 | ||
4743 | //par[0] = normalization | |
4744 | //par[1] = mean | |
4745 | //par[2] = sigma | |
4746 | //norm0 = 1 | |
4747 | //par[3] = lambda0 | |
4748 | //par[4] = norm1 | |
4749 | //par[5] = lambda1 | |
4750 | ||
4751 | Double_t par1save = par[1]; | |
4752 | //Double_t par2save = par[2]; | |
4753 | Double_t par2save = 0.0604244; | |
4754 | //Double_t par3save = par[3]; | |
4755 | Double_t par3save = 7.65596; | |
4756 | //Double_t par5save = par[5]; | |
4757 | Double_t par5save = 0.870597; | |
4758 | Double_t dx = x[0] - par1save; | |
4759 | ||
4760 | Double_t sigma2 = par2save*par2save; | |
4761 | Double_t sqrt2 = TMath::Sqrt(2.0); | |
4762 | Double_t exp1 = par3save * TMath::Exp(-par3save * (dx - 0.5 * par3save * sigma2)) | |
4763 | * (1.0 - TMath::Erf((par3save * sigma2 - dx) / (sqrt2 * par2save))); | |
4764 | Double_t exp2 = par5save * TMath::Exp(-par5save * (dx - 0.5 * par5save * sigma2)) | |
4765 | * (1.0 - TMath::Erf((par5save * sigma2 - dx) / (sqrt2 * par2save))); | |
4766 | ||
4767 | //return par[0]*(exp1+par[4]*exp2); | |
4768 | return par[0] * (exp1 + 1.00124 * exp2); | |
4769 | ||
4770 | } | |
4771 | ||
4772 | //_____________________________________________________________________________ | |
4773 | Double_t AliTRDCalibraFit::FuncLandauGaus(Double_t *x, Double_t *par) | |
4774 | { | |
4775 | // | |
4776 | // Sum Landau + Gaus with identical mean | |
4777 | // | |
4778 | ||
4779 | Double_t valLandau = par[0] * TMath::Landau(x[0],par[1],par[2]); | |
4780 | //Double_t valGaus = par[3] * TMath::Gaus(x[0],par[4],par[5]); | |
4781 | Double_t valGaus = par[3] * TMath::Gaus(x[0],par[1],par[4]); | |
4782 | Double_t val = valLandau + valGaus; | |
4783 | ||
4784 | return val; | |
4785 | ||
4786 | } | |
4787 | ||
4788 | //_____________________________________________________________________________ | |
4789 | Double_t AliTRDCalibraFit::LanGauFun(Double_t *x, Double_t *par) | |
4790 | { | |
4791 | // | |
4792 | // Function for the fit | |
4793 | // | |
4794 | // Fit parameters: | |
4795 | // par[0]=Width (scale) parameter of Landau density | |
4796 | // par[1]=Most Probable (MP, location) parameter of Landau density | |
4797 | // par[2]=Total area (integral -inf to inf, normalization constant) | |
4798 | // par[3]=Width (sigma) of convoluted Gaussian function | |
4799 | // | |
4800 | // In the Landau distribution (represented by the CERNLIB approximation), | |
4801 | // the maximum is located at x=-0.22278298 with the location parameter=0. | |
4802 | // This shift is corrected within this function, so that the actual | |
4803 | // maximum is identical to the MP parameter. | |
4804 | // | |
4805 | ||
4806 | // Numeric constants | |
4807 | Double_t invsq2pi = 0.3989422804014; // (2 pi)^(-1/2) | |
4808 | Double_t mpshift = -0.22278298; // Landau maximum location | |
4809 | ||
4810 | // Control constants | |
4811 | Double_t np = 100.0; // Number of convolution steps | |
4812 | Double_t sc = 5.0; // Convolution extends to +-sc Gaussian sigmas | |
4813 | ||
4814 | // Variables | |
4815 | Double_t xx; | |
4816 | Double_t mpc; | |
4817 | Double_t fland; | |
4818 | Double_t sum = 0.0; | |
4819 | Double_t xlow; | |
4820 | Double_t xupp; | |
4821 | Double_t step; | |
4822 | Double_t i; | |
4823 | ||
4824 | // MP shift correction | |
4825 | mpc = par[1] - mpshift * par[0]; | |
4826 | ||
4827 | // Range of convolution integral | |
4828 | xlow = x[0] - sc * par[3]; | |
4829 | xupp = x[0] + sc * par[3]; | |
4830 | ||
4831 | step = (xupp - xlow) / np; | |
4832 | ||
4833 | // Convolution integral of Landau and Gaussian by sum | |
4834 | for (i = 1.0; i <= np/2; i++) { | |
4835 | ||
4836 | xx = xlow + (i-.5) * step; | |
4837 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
4838 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
4839 | ||
4840 | xx = xupp - (i-.5) * step; | |
4841 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
4842 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
4843 | ||
4844 | } | |
4845 | ||
4846 | return (par[2] * step * sum * invsq2pi / par[3]); | |
4847 | ||
4848 | } | |
55a288e5 | 4849 | //_____________________________________________________________________________ |
4850 | TF1 *AliTRDCalibraFit::LanGauFit(TH1 *his, Double_t *fitrange, Double_t *startvalues | |
4851 | , Double_t *parlimitslo, Double_t *parlimitshi | |
4852 | , Double_t *fitparams, Double_t *fiterrors | |
e6381f8e | 4853 | , Double_t *chiSqr, Int_t *ndf) const |
55a288e5 | 4854 | { |
4855 | // | |
4856 | // Function for the fit | |
4857 | // | |
4858 | ||
4859 | Int_t i; | |
4860 | Char_t funname[100]; | |
4861 | ||
4862 | TF1 *ffitold = (TF1 *) gROOT->GetListOfFunctions()->FindObject(funname); | |
4863 | if (ffitold) { | |
4864 | delete ffitold; | |
4865 | } | |
4866 | ||
4867 | TF1 *ffit = new TF1(funname,LanGauFun,fitrange[0],fitrange[1],4); | |
4868 | ffit->SetParameters(startvalues); | |
4869 | ffit->SetParNames("Width","MP","Area","GSigma"); | |
4870 | ||
4871 | for (i = 0; i < 4; i++) { | |
4872 | ffit->SetParLimits(i,parlimitslo[i],parlimitshi[i]); | |
4873 | } | |
4874 | ||
4875 | his->Fit(funname,"RB0"); // Fit within specified range, use ParLimits, do not plot | |
4876 | ||
4877 | ffit->GetParameters(fitparams); // Obtain fit parameters | |
4878 | for (i = 0; i < 4; i++) { | |
4879 | fiterrors[i] = ffit->GetParError(i); // Obtain fit parameter errors | |
4880 | } | |
4881 | chiSqr[0] = ffit->GetChisquare(); // Obtain chi^2 | |
4882 | ndf[0] = ffit->GetNDF(); // Obtain ndf | |
4883 | ||
4884 | return (ffit); // Return fit function | |
4885 | ||
4886 | } | |
4887 | ||
4888 | //_____________________________________________________________________________ | |
4889 | Int_t AliTRDCalibraFit::LanGauPro(Double_t *params, Double_t &maxx, Double_t &fwhm) | |
4890 | { | |
4891 | // | |
4892 | // Function for the fit | |
4893 | // | |
4894 | ||
4895 | Double_t p; | |
4896 | Double_t x; | |
4897 | Double_t fy; | |
4898 | Double_t fxr; | |
4899 | Double_t fxl; | |
4900 | Double_t step; | |
4901 | Double_t l; | |
4902 | Double_t lold; | |
4903 | ||
4904 | Int_t i = 0; | |
4905 | Int_t maxcalls = 10000; | |
4906 | ||
4907 | // Search for maximum | |
4908 | p = params[1] - 0.1 * params[0]; | |
4909 | step = 0.05 * params[0]; | |
4910 | lold = -2.0; | |
4911 | l = -1.0; | |
4912 | ||
4913 | while ((l != lold) && (i < maxcalls)) { | |
4914 | i++; | |
4915 | lold = l; | |
4916 | x = p + step; | |
4917 | l = LanGauFun(&x,params); | |
4918 | if (l < lold) { | |
4919 | step = -step / 10.0; | |
4920 | } | |
4921 | p += step; | |
4922 | } | |
4923 | ||
4924 | if (i == maxcalls) { | |
4925 | return (-1); | |
4926 | } | |
4927 | maxx = x; | |
4928 | fy = l / 2.0; | |
4929 | ||
4930 | // Search for right x location of fy | |
4931 | p = maxx + params[0]; | |
4932 | step = params[0]; | |
4933 | lold = -2.0; | |
4934 | l = -1e300; | |
4935 | i = 0; | |
4936 | ||
4937 | while ( (l != lold) && (i < maxcalls) ) { | |
4938 | i++; | |
4939 | ||
4940 | lold = l; | |
4941 | x = p + step; | |
4942 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
4943 | ||
4944 | if (l > lold) | |
4945 | step = -step/10; | |
4946 | ||
4947 | p += step; | |
4948 | } | |
4949 | ||
4950 | if (i == maxcalls) | |
4951 | return (-2); | |
4952 | ||
4953 | fxr = x; | |
4954 | ||
3a0f6479 | 4955 | |
55a288e5 | 4956 | // Search for left x location of fy |
4957 | ||
4958 | p = maxx - 0.5 * params[0]; | |
4959 | step = -params[0]; | |
4960 | lold = -2.0; | |
4961 | l = -1.0e300; | |
4962 | i = 0; | |
4963 | ||
4964 | while ((l != lold) && (i < maxcalls)) { | |
4965 | i++; | |
4966 | lold = l; | |
4967 | x = p + step; | |
4968 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
4969 | if (l > lold) { | |
4970 | step = -step / 10.0; | |
4971 | } | |
4972 | p += step; | |
4973 | } | |
4974 | ||
4975 | if (i == maxcalls) { | |
4976 | return (-3); | |
4977 | } | |
4978 | ||
4979 | fxl = x; | |
4980 | fwhm = fxr - fxl; | |
4981 | ||
4982 | return (0); | |
55a288e5 | 4983 | } |
55a288e5 | 4984 | //_____________________________________________________________________________ |
4985 | Double_t AliTRDCalibraFit::GausConstant(Double_t *x, Double_t *par) | |
4986 | { | |
4987 | // | |
4988 | // Gaus with identical mean | |
4989 | // | |
4990 | ||
e6381f8e | 4991 | Double_t gauss = par[0] * TMath::Gaus(x[0],0.0,par[1])+par[2]; |
55a288e5 | 4992 | |
e6381f8e | 4993 | return gauss; |
55a288e5 | 4994 | |
4995 | } |