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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 | ||
49 | #include <TTree.h> | |
50 | #include <TLine.h> | |
51 | #include <TH1I.h> | |
52 | #include <TStyle.h> | |
53 | #include <TProfile2D.h> | |
54 | #include <TFile.h> | |
55 | #include <TCanvas.h> | |
56 | #include <TGraphErrors.h> | |
57 | #include <TGraph.h> | |
58 | #include <TObjArray.h> | |
59 | #include <TH1.h> | |
60 | #include <TH1F.h> | |
61 | #include <TF1.h> | |
62 | #include <TH2F.h> | |
63 | #include <TAxis.h> | |
64 | #include <TStopwatch.h> | |
65 | #include <TMath.h> | |
66 | #include <TLegend.h> | |
67 | #include <TDirectory.h> | |
68 | #include <TROOT.h> | |
3a0f6479 | 69 | #include <TTreeStream.h> |
70 | #include <TLinearFitter.h> | |
71 | #include <TVectorD.h> | |
72 | #include <TArrayF.h> | |
55a288e5 | 73 | |
74 | #include "AliLog.h" | |
75 | #include "AliCDBManager.h" | |
3a0f6479 | 76 | #include "AliMathBase.h" |
55a288e5 | 77 | |
78 | #include "AliTRDCalibraFit.h" | |
79 | #include "AliTRDCalibraMode.h" | |
80 | #include "AliTRDCalibraVector.h" | |
3a0f6479 | 81 | #include "AliTRDCalibraVdriftLinearFit.h" |
55a288e5 | 82 | #include "AliTRDcalibDB.h" |
83 | #include "AliTRDgeometry.h" | |
3a0f6479 | 84 | #include "AliTRDpadPlane.h" |
85 | #include "AliTRDgeometry.h" | |
55a288e5 | 86 | #include "./Cal/AliTRDCalROC.h" |
87 | #include "./Cal/AliTRDCalPad.h" | |
88 | #include "./Cal/AliTRDCalDet.h" | |
89 | ||
90 | ||
91 | ClassImp(AliTRDCalibraFit) | |
92 | ||
93 | AliTRDCalibraFit* AliTRDCalibraFit::fgInstance = 0; | |
94 | Bool_t AliTRDCalibraFit::fgTerminated = kFALSE; | |
95 | ||
96 | //_____________singleton implementation_________________________________________________ | |
97 | AliTRDCalibraFit *AliTRDCalibraFit::Instance() | |
98 | { | |
99 | // | |
100 | // Singleton implementation | |
101 | // | |
102 | ||
103 | if (fgTerminated != kFALSE) { | |
104 | return 0; | |
105 | } | |
106 | ||
107 | if (fgInstance == 0) { | |
108 | fgInstance = new AliTRDCalibraFit(); | |
109 | } | |
110 | ||
111 | return fgInstance; | |
112 | ||
113 | } | |
114 | ||
115 | //______________________________________________________________________________________ | |
116 | void AliTRDCalibraFit::Terminate() | |
117 | { | |
118 | // | |
119 | // Singleton implementation | |
120 | // Deletes the instance of this class | |
121 | // | |
122 | ||
123 | fgTerminated = kTRUE; | |
124 | ||
125 | if (fgInstance != 0) { | |
126 | delete fgInstance; | |
127 | fgInstance = 0; | |
128 | } | |
129 | ||
130 | } | |
131 | ||
132 | //______________________________________________________________________________________ | |
133 | AliTRDCalibraFit::AliTRDCalibraFit() | |
134 | :TObject() | |
f162af62 | 135 | ,fGeo(0) |
3a0f6479 | 136 | ,fNumberOfBinsExpected(0) |
137 | ,fMethod(0) | |
138 | ,fBeginFitCharge(3.5) | |
139 | ,fFitPHPeriode(1) | |
55a288e5 | 140 | ,fTakeTheMaxPH(kFALSE) |
3a0f6479 | 141 | ,fT0Shift(0.124797) |
142 | ,fRangeFitPRF(1.0) | |
55a288e5 | 143 | ,fAccCDB(kFALSE) |
3a0f6479 | 144 | ,fMinEntries(800) |
145 | ,fRebin(1) | |
55a288e5 | 146 | ,fNumberFit(0) |
147 | ,fNumberFitSuccess(0) | |
148 | ,fNumberEnt(0) | |
149 | ,fStatisticMean(0.0) | |
3a0f6479 | 150 | ,fDebugStreamer(0x0) |
151 | ,fDebugLevel(0) | |
55a288e5 | 152 | ,fFitVoir(0) |
3a0f6479 | 153 | ,fMagneticField(0.5) |
154 | ,fCalibraMode(new AliTRDCalibraMode()) | |
155 | ,fCurrentCoefE(0.0) | |
156 | ,fCurrentCoefE2(0.0) | |
157 | ,fDect1(0) | |
158 | ,fDect2(0) | |
55a288e5 | 159 | ,fScaleFitFactor(0.0) |
160 | ,fEntriesCurrent(0) | |
3a0f6479 | 161 | ,fCountDet(0) |
162 | ,fCount(0) | |
163 | ,fCalDet(0x0) | |
164 | ,fCalROC(0x0) | |
165 | ,fCalDet2(0x0) | |
166 | ,fCalROC2(0x0) | |
167 | ,fCurrentCoefDetector(0x0) | |
168 | ,fCurrentCoefDetector2(0x0) | |
169 | ,fVectorFit(0) | |
170 | ,fVectorFit2(0) | |
55a288e5 | 171 | { |
172 | // | |
173 | // Default constructor | |
174 | // | |
175 | ||
3a0f6479 | 176 | fGeo = new AliTRDgeometry(); |
177 | ||
178 | // Current variables initialised | |
179 | for (Int_t k = 0; k < 2; k++) { | |
180 | fCurrentCoef[k] = 0.0; | |
181 | fCurrentCoef2[k] = 0.0; | |
55a288e5 | 182 | } |
55a288e5 | 183 | for (Int_t i = 0; i < 3; i++) { |
3a0f6479 | 184 | fPhd[i] = 0.0; |
185 | fDet[i] = 0; | |
55a288e5 | 186 | } |
3a0f6479 | 187 | |
55a288e5 | 188 | } |
55a288e5 | 189 | //______________________________________________________________________________________ |
190 | AliTRDCalibraFit::AliTRDCalibraFit(const AliTRDCalibraFit &c) | |
3a0f6479 | 191 | :TObject(c) |
192 | ,fGeo(0) | |
193 | ,fNumberOfBinsExpected(c.fNumberOfBinsExpected) | |
194 | ,fMethod(c.fMethod) | |
195 | ,fBeginFitCharge(c.fBeginFitCharge) | |
196 | ,fFitPHPeriode(c.fFitPHPeriode) | |
197 | ,fTakeTheMaxPH(c.fTakeTheMaxPH) | |
198 | ,fT0Shift(c.fT0Shift) | |
199 | ,fRangeFitPRF(c.fRangeFitPRF) | |
200 | ,fAccCDB(c.fAccCDB) | |
201 | ,fMinEntries(c.fMinEntries) | |
202 | ,fRebin(c.fRebin) | |
203 | ,fNumberFit(c.fNumberFit) | |
204 | ,fNumberFitSuccess(c.fNumberFitSuccess) | |
205 | ,fNumberEnt(c.fNumberEnt) | |
206 | ,fStatisticMean(c.fStatisticMean) | |
207 | ,fDebugStreamer(0x0) | |
208 | ,fDebugLevel(c.fDebugLevel) | |
209 | ,fFitVoir(c.fFitVoir) | |
210 | ,fMagneticField(c.fMagneticField) | |
211 | ,fCalibraMode(0x0) | |
212 | ,fCurrentCoefE(c.fCurrentCoefE) | |
213 | ,fCurrentCoefE2(c.fCurrentCoefE2) | |
214 | ,fDect1(c.fDect1) | |
215 | ,fDect2(c.fDect2) | |
216 | ,fScaleFitFactor(c.fScaleFitFactor) | |
217 | ,fEntriesCurrent(c.fEntriesCurrent) | |
218 | ,fCountDet(c.fCountDet) | |
219 | ,fCount(c.fCount) | |
220 | ,fCalDet(0x0) | |
221 | ,fCalROC(0x0) | |
222 | ,fCalDet2(0x0) | |
223 | ,fCalROC2(0x0) | |
224 | ,fCurrentCoefDetector(0x0) | |
225 | ,fCurrentCoefDetector2(0x0) | |
226 | ,fVectorFit(0) | |
227 | ,fVectorFit2(0) | |
55a288e5 | 228 | { |
229 | // | |
230 | // Copy constructor | |
231 | // | |
232 | ||
3a0f6479 | 233 | if(c.fCalibraMode) fCalibraMode = new AliTRDCalibraMode(*c.fCalibraMode); |
234 | ||
235 | //Current variables initialised | |
236 | for (Int_t k = 0; k < 2; k++) { | |
237 | fCurrentCoef[k] = 0.0; | |
238 | fCurrentCoef2[k] = 0.0; | |
239 | } | |
240 | for (Int_t i = 0; i < 3; i++) { | |
241 | fPhd[i] = 0.0; | |
242 | fDet[i] = 0; | |
243 | } | |
244 | if(c.fCalDet) fCalDet = new AliTRDCalDet(*c.fCalDet); | |
245 | if(c.fCalDet2) fCalDet2 = new AliTRDCalDet(*c.fCalDet2); | |
246 | ||
247 | if(c.fCalROC) fCalROC = new AliTRDCalROC(*c.fCalROC); | |
248 | if(c.fCalROC2) fCalROC = new AliTRDCalROC(*c.fCalROC2); | |
249 | ||
250 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
251 | for(Int_t k = 0; k < c.fVectorFit.GetEntriesFast(); k++){ | |
252 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
253 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetDetector(); | |
254 | Int_t ntotal = 1; | |
255 | if (GetChamber(detector) == 2) { | |
256 | ntotal = 1728; | |
257 | } | |
258 | else { | |
259 | ntotal = 2304; | |
260 | } | |
261 | Float_t *coef = new Float_t[ntotal]; | |
262 | for (Int_t i = 0; i < ntotal; i++) { | |
263 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetCoef()[i]; | |
264 | } | |
265 | fitInfo->SetCoef(coef); | |
266 | fitInfo->SetDetector(detector); | |
267 | fVectorFit.Add((TObject *) fitInfo); | |
268 | } | |
269 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
270 | for(Int_t k = 0; k < c.fVectorFit2.GetEntriesFast(); k++){ | |
271 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
272 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetDetector(); | |
273 | Int_t ntotal = 1; | |
274 | if (GetChamber(detector) == 2) { | |
275 | ntotal = 1728; | |
276 | } | |
277 | else { | |
278 | ntotal = 2304; | |
279 | } | |
280 | Float_t *coef = new Float_t[ntotal]; | |
281 | for (Int_t i = 0; i < ntotal; i++) { | |
282 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetCoef()[i]; | |
283 | } | |
284 | fitInfo->SetCoef(coef); | |
285 | fitInfo->SetDetector(detector); | |
286 | fVectorFit2.Add((TObject *) fitInfo); | |
287 | } | |
288 | if (fGeo) { | |
289 | delete fGeo; | |
290 | } | |
291 | fGeo = new AliTRDgeometry(); | |
55a288e5 | 292 | |
3a0f6479 | 293 | } |
55a288e5 | 294 | //____________________________________________________________________________________ |
295 | AliTRDCalibraFit::~AliTRDCalibraFit() | |
296 | { | |
297 | // | |
298 | // AliTRDCalibraFit destructor | |
299 | // | |
3a0f6479 | 300 | if ( fDebugStreamer ) delete fDebugStreamer; |
301 | if ( fCalDet ) delete fCalDet; | |
302 | if ( fCalDet2 ) delete fCalDet2; | |
303 | if ( fCalROC ) delete fCalROC; | |
304 | if ( fCalROC2 ) delete fCalROC2; | |
305 | fVectorFit.Delete(); | |
306 | fVectorFit2.Delete(); | |
f162af62 | 307 | if (fGeo) { |
308 | delete fGeo; | |
309 | } | |
310 | ||
55a288e5 | 311 | } |
55a288e5 | 312 | //_____________________________________________________________________________ |
313 | void AliTRDCalibraFit::Destroy() | |
314 | { | |
315 | // | |
316 | // Delete instance | |
317 | // | |
318 | ||
319 | if (fgInstance) { | |
320 | delete fgInstance; | |
321 | fgInstance = 0x0; | |
322 | } | |
323 | ||
324 | } | |
55a288e5 | 325 | //____________Functions fit Online CH2d________________________________________ |
3a0f6479 | 326 | Bool_t AliTRDCalibraFit::AnalyseCH(TH2I *ch) |
55a288e5 | 327 | { |
328 | // | |
329 | // Fit the 1D histos, projections of the 2D ch on the Xaxis, for each | |
330 | // calibration group normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 331 | // |
332 | ||
3a0f6479 | 333 | // Set the calibration mode |
334 | const char *name = ch->GetTitle(); | |
335 | SetModeCalibration(name,0); | |
336 | ||
337 | // Number of Ybins (detectors or groups of pads) | |
338 | Int_t nbins = ch->GetNbinsX();// charge | |
339 | Int_t nybins = ch->GetNbinsY();// groups number | |
340 | if (!InitFit(nybins,0)) { | |
55a288e5 | 341 | return kFALSE; |
342 | } | |
3a0f6479 | 343 | if (!InitFitCH()) { |
55a288e5 | 344 | return kFALSE; |
345 | } | |
346 | fStatisticMean = 0.0; | |
347 | fNumberFit = 0; | |
348 | fNumberFitSuccess = 0; | |
349 | fNumberEnt = 0; | |
55a288e5 | 350 | // Init fCountDet and fCount |
351 | InitfCountDetAndfCount(0); | |
55a288e5 | 352 | // Beginning of the loop betwwen dect1 and dect2 |
3a0f6479 | 353 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
354 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi... | |
55a288e5 | 355 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 356 | ReconstructFitRowMinRowMax(idect, 0); |
3a0f6479 | 357 | // Take the histo |
358 | TH1I *projch = (TH1I *) ch->ProjectionX("projch",idect+1,idect+1,(Option_t *)"e"); | |
359 | projch->SetDirectory(0); | |
55a288e5 | 360 | // Number of entries for this calibration group |
361 | Double_t nentries = 0.0; | |
362 | Double_t mean = 0.0; | |
3a0f6479 | 363 | for (Int_t k = 0; k < nbins; k++) { |
364 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
365 | nentries += ch->GetBinContent(binnb); | |
55a288e5 | 366 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); |
3a0f6479 | 367 | projch->SetBinError(k+1,TMath::Sqrt(projch->GetBinContent(k+1))); |
55a288e5 | 368 | } |
3a0f6479 | 369 | projch->SetEntries(nentries); |
370 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 371 | if (nentries > 0) { |
372 | fNumberEnt++; | |
373 | mean /= nentries; | |
374 | } | |
55a288e5 | 375 | // Rebin and statistic stuff |
55a288e5 | 376 | if (fRebin > 1) { |
377 | projch = ReBin((TH1I *) projch); | |
378 | } | |
379 | // This detector has not enough statistics or was off | |
3a0f6479 | 380 | if (nentries <= fMinEntries) { |
381 | NotEnoughStatisticCH(idect); | |
382 | if (fDebugLevel != 1) { | |
55a288e5 | 383 | delete projch; |
384 | } | |
385 | continue; | |
386 | } | |
55a288e5 | 387 | // Statistics of the group fitted |
55a288e5 | 388 | fStatisticMean += nentries; |
389 | fNumberFit++; | |
3a0f6479 | 390 | //Method choosen |
391 | switch(fMethod) | |
392 | { | |
393 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
394 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
395 | case 2: FitCH((TH1 *) projch, mean); break; | |
396 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
397 | default: return kFALSE; | |
398 | } | |
55a288e5 | 399 | // Fill Infos Fit |
3a0f6479 | 400 | FillInfosFitCH(idect); |
55a288e5 | 401 | // Memory!!! |
3a0f6479 | 402 | if (fDebugLevel != 1) { |
55a288e5 | 403 | delete projch; |
404 | } | |
55a288e5 | 405 | } // Boucle object |
55a288e5 | 406 | // Normierungcharge |
3a0f6479 | 407 | if (fDebugLevel != 1) { |
55a288e5 | 408 | NormierungCharge(); |
409 | } | |
55a288e5 | 410 | // Mean Statistic |
411 | if (fNumberFit > 0) { | |
3a0f6479 | 412 | 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 | 413 | fStatisticMean = fStatisticMean / fNumberFit; |
414 | } | |
415 | else { | |
416 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
417 | } | |
3a0f6479 | 418 | delete fDebugStreamer; |
419 | fDebugStreamer = 0x0; | |
420 | ||
55a288e5 | 421 | return kTRUE; |
55a288e5 | 422 | } |
55a288e5 | 423 | //____________Functions fit Online CH2d________________________________________ |
3a0f6479 | 424 | Bool_t AliTRDCalibraFit::AnalyseCH(AliTRDCalibraVector *calvect) |
55a288e5 | 425 | { |
426 | // | |
427 | // Reconstruct a 1D histo from the vectorCH for each calibration group, | |
428 | // fit the histo, normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 429 | // |
430 | ||
3a0f6479 | 431 | // Set the calibraMode |
432 | const char *name = calvect->GetNameCH(); | |
433 | SetModeCalibration(name,0); | |
55a288e5 | 434 | |
3a0f6479 | 435 | // Number of Xbins (detectors or groups of pads) |
436 | if (!InitFit((432*calvect->GetDetCha0(0)+108*calvect->GetDetCha2(0)),0)) { | |
55a288e5 | 437 | return kFALSE; |
438 | } | |
3a0f6479 | 439 | if (!InitFitCH()) { |
55a288e5 | 440 | return kFALSE; |
441 | } | |
442 | fStatisticMean = 0.0; | |
443 | fNumberFit = 0; | |
444 | fNumberFitSuccess = 0; | |
445 | fNumberEnt = 0; | |
55a288e5 | 446 | // Init fCountDet and fCount |
447 | InitfCountDetAndfCount(0); | |
55a288e5 | 448 | // Beginning of the loop between dect1 and dect2 |
3a0f6479 | 449 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
450 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 451 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 452 | ReconstructFitRowMinRowMax(idect,0); |
3a0f6479 | 453 | // Take the histo |
55a288e5 | 454 | Double_t nentries = 0.0; |
455 | Double_t mean = 0.0; | |
3a0f6479 | 456 | TH1F *projch = 0x0; |
457 | Bool_t something = kTRUE; | |
458 | if(!calvect->GetCHEntries(fCountDet)) something = kFALSE; | |
459 | if(something){ | |
460 | TString name("CH"); | |
461 | name += idect; | |
462 | projch = calvect->ConvertVectorCHHisto(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0)))),(const char *) name); | |
463 | projch->SetDirectory(0); | |
464 | for (Int_t k = 0; k < calvect->GetNumberBinCharge(); k++) { | |
55a288e5 | 465 | nentries += projch->GetBinContent(k+1); |
466 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); | |
467 | } | |
3a0f6479 | 468 | if (nentries > 0) { |
469 | fNumberEnt++; | |
470 | mean /= nentries; | |
471 | } | |
472 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
473 | // Rebin | |
474 | if (fRebin > 1) { | |
475 | projch = ReBin((TH1F *) projch); | |
476 | } | |
55a288e5 | 477 | } |
55a288e5 | 478 | // This detector has not enough statistics or was not found in VectorCH |
3a0f6479 | 479 | if (nentries <= fMinEntries) { |
480 | NotEnoughStatisticCH(idect); | |
481 | if (fDebugLevel != 1) { | |
482 | if(projch) delete projch; | |
55a288e5 | 483 | } |
55a288e5 | 484 | continue; |
55a288e5 | 485 | } |
55a288e5 | 486 | // Statistic of the histos fitted |
55a288e5 | 487 | fStatisticMean += nentries; |
488 | fNumberFit++; | |
3a0f6479 | 489 | //Method choosen |
490 | switch(fMethod) | |
491 | { | |
492 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
493 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
494 | case 2: FitCH((TH1 *) projch, mean); break; | |
495 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
496 | default: return kFALSE; | |
497 | } | |
55a288e5 | 498 | // Fill Infos Fit |
3a0f6479 | 499 | FillInfosFitCH(idect); |
55a288e5 | 500 | // Memory!!! |
3a0f6479 | 501 | if (fDebugLevel != 1) { |
55a288e5 | 502 | delete projch; |
503 | } | |
55a288e5 | 504 | } // Boucle object |
55a288e5 | 505 | // Normierungcharge |
3a0f6479 | 506 | if (fDebugLevel != 1) { |
55a288e5 | 507 | NormierungCharge(); |
508 | } | |
55a288e5 | 509 | // Mean Statistics |
510 | if (fNumberFit > 0) { | |
3a0f6479 | 511 | 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 | 512 | fStatisticMean = fStatisticMean / fNumberFit; |
513 | } | |
514 | else { | |
515 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
516 | } | |
3a0f6479 | 517 | delete fDebugStreamer; |
518 | fDebugStreamer = 0x0; | |
55a288e5 | 519 | return kTRUE; |
55a288e5 | 520 | } |
3a0f6479 | 521 | //________________functions fit Online PH2d____________________________________ |
522 | Bool_t AliTRDCalibraFit::AnalysePH(TProfile2D *ph) | |
55a288e5 | 523 | { |
524 | // | |
3a0f6479 | 525 | // Take the 1D profiles (average pulse height), projections of the 2D PH |
526 | // on the Xaxis, for each calibration group | |
527 | // Reconstruct a drift velocity | |
528 | // A first calibration of T0 is also made using the same method | |
55a288e5 | 529 | // |
530 | ||
3a0f6479 | 531 | // Set the calibration mode |
532 | const char *name = ph->GetTitle(); | |
533 | SetModeCalibration(name,1); | |
534 | ||
535 | // Number of Xbins (detectors or groups of pads) | |
536 | Int_t nbins = ph->GetNbinsX();// time | |
537 | Int_t nybins = ph->GetNbinsY();// calibration group | |
538 | if (!InitFit(nybins,1)) { | |
55a288e5 | 539 | return kFALSE; |
540 | } | |
3a0f6479 | 541 | if (!InitFitPH()) { |
55a288e5 | 542 | return kFALSE; |
543 | } | |
544 | fStatisticMean = 0.0; | |
545 | fNumberFit = 0; | |
546 | fNumberFitSuccess = 0; | |
547 | fNumberEnt = 0; | |
55a288e5 | 548 | // Init fCountDet and fCount |
3a0f6479 | 549 | InitfCountDetAndfCount(1); |
550 | // Beginning of the loop | |
551 | for (Int_t idect = fDect1; idect < fDect2; idect++) { | |
552 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... | |
553 | UpdatefCountDetAndfCount(idect,1); | |
554 | ReconstructFitRowMinRowMax(idect,1); | |
555 | // Take the histo | |
556 | TH1D *projph = (TH1D *) ph->ProjectionX("projph",idect+1,idect+1,(Option_t *) "e"); | |
557 | projph->SetDirectory(0); | |
558 | // Number of entries for this calibration group | |
559 | Double_t nentries = 0; | |
560 | for (Int_t k = 0; k < nbins; k++) { | |
561 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
562 | nentries += ph->GetBinEntries(binnb); | |
55a288e5 | 563 | } |
55a288e5 | 564 | if (nentries > 0) { |
3a0f6479 | 565 | fNumberEnt++; |
566 | } | |
567 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
568 | // This detector has not enough statistics or was off | |
569 | if (nentries <= fMinEntries) { | |
570 | //printf("Not enough statistic!\n"); | |
571 | NotEnoughStatisticPH(idect); | |
572 | if (fDebugLevel != 1) { | |
573 | delete projph; | |
574 | } | |
55a288e5 | 575 | continue; |
55a288e5 | 576 | } |
3a0f6479 | 577 | // Statistics of the histos fitted |
55a288e5 | 578 | fNumberFit++; |
579 | fStatisticMean += nentries; | |
3a0f6479 | 580 | // Calcul of "real" coef |
581 | CalculVdriftCoefMean(); | |
582 | CalculT0CoefMean(); | |
583 | //Method choosen | |
584 | switch(fMethod) | |
585 | { | |
586 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
587 | case 1: FitPente((TH1 *) projph); break; | |
588 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
589 | default: return kFALSE; | |
590 | } | |
591 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
592 | FillInfosFitPH(idect); | |
593 | // Memory!!! | |
594 | if (fDebugLevel != 1) { | |
595 | delete projph; | |
55a288e5 | 596 | } |
55a288e5 | 597 | } // Boucle object |
55a288e5 | 598 | // Mean Statistic |
599 | if (fNumberFit > 0) { | |
3a0f6479 | 600 | 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 | 601 | fStatisticMean = fStatisticMean / fNumberFit; |
602 | } | |
603 | else { | |
604 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
605 | } | |
3a0f6479 | 606 | delete fDebugStreamer; |
607 | fDebugStreamer = 0x0; | |
55a288e5 | 608 | return kTRUE; |
55a288e5 | 609 | } |
3a0f6479 | 610 | //____________Functions fit Online PH2d________________________________________ |
611 | Bool_t AliTRDCalibraFit::AnalysePH(AliTRDCalibraVector *calvect) | |
55a288e5 | 612 | { |
613 | // | |
3a0f6479 | 614 | // Reconstruct the average pulse height from the vectorPH for each |
615 | // calibration group | |
616 | // Reconstruct a drift velocity | |
55a288e5 | 617 | // A first calibration of T0 is also made using the same method (slope method) |
618 | // | |
619 | ||
3a0f6479 | 620 | // Set the calibration mode |
621 | const char *name = calvect->GetNamePH(); | |
622 | SetModeCalibration(name,1); | |
623 | ||
624 | // Number of Xbins (detectors or groups of pads) | |
625 | if (!InitFit((432*calvect->GetDetCha0(1)+108*calvect->GetDetCha2(1)),1)) { | |
55a288e5 | 626 | return kFALSE; |
627 | } | |
3a0f6479 | 628 | if (!InitFitPH()) { |
55a288e5 | 629 | return kFALSE; |
630 | } | |
631 | fStatisticMean = 0.0; | |
632 | fNumberFit = 0; | |
633 | fNumberFitSuccess = 0; | |
634 | fNumberEnt = 0; | |
55a288e5 | 635 | // Init fCountDet and fCount |
636 | InitfCountDetAndfCount(1); | |
55a288e5 | 637 | // Beginning of the loop |
3a0f6479 | 638 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
639 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 640 | UpdatefCountDetAndfCount(idect,1); |
55a288e5 | 641 | ReconstructFitRowMinRowMax(idect,1); |
3a0f6479 | 642 | // Take the histo |
643 | TH1F *projph = 0x0; | |
644 | fEntriesCurrent = 0; | |
645 | Bool_t something = kTRUE; | |
646 | if(!calvect->GetPHEntries(fCountDet)) something = kFALSE; | |
647 | if(something){ | |
648 | TString name("PH"); | |
649 | name += idect; | |
650 | projph = CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPHTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) name))); | |
651 | projph->SetDirectory(0); | |
652 | } | |
653 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); | |
55a288e5 | 654 | // This detector has not enough statistics or was off |
3a0f6479 | 655 | if (fEntriesCurrent <= fMinEntries) { |
656 | //printf("Not enough stat!\n"); | |
657 | NotEnoughStatisticPH(idect); | |
658 | if (fDebugLevel != 1) { | |
659 | if(projph) delete projph; | |
55a288e5 | 660 | } |
55a288e5 | 661 | continue; |
55a288e5 | 662 | } |
3a0f6479 | 663 | // Statistic of the histos fitted |
55a288e5 | 664 | fNumberFit++; |
3a0f6479 | 665 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 666 | // Calcul of "real" coef |
3a0f6479 | 667 | CalculVdriftCoefMean(); |
668 | CalculT0CoefMean(); | |
669 | //Method choosen | |
670 | switch(fMethod) | |
671 | { | |
672 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
673 | case 1: FitPente((TH1 *) projph); break; | |
674 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
675 | default: return kFALSE; | |
676 | } | |
55a288e5 | 677 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 678 | FillInfosFitPH(idect); |
55a288e5 | 679 | // Memory!!! |
3a0f6479 | 680 | if (fDebugLevel != 1) { |
55a288e5 | 681 | delete projph; |
682 | } | |
55a288e5 | 683 | } // Boucle object |
3a0f6479 | 684 | |
55a288e5 | 685 | // Mean Statistic |
686 | if (fNumberFit > 0) { | |
3a0f6479 | 687 | 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 | 688 | fStatisticMean = fStatisticMean / fNumberFit; |
689 | } | |
690 | else { | |
691 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
692 | } | |
3a0f6479 | 693 | delete fDebugStreamer; |
694 | fDebugStreamer = 0x0; | |
55a288e5 | 695 | return kTRUE; |
55a288e5 | 696 | } |
3a0f6479 | 697 | //____________Functions fit Online PRF2d_______________________________________ |
698 | Bool_t AliTRDCalibraFit::AnalysePRF(TProfile2D *prf) | |
55a288e5 | 699 | { |
700 | // | |
3a0f6479 | 701 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
702 | // on the Xaxis, for each calibration group | |
703 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 704 | // |
705 | ||
3a0f6479 | 706 | // Set the calibration mode |
707 | const char *name = prf->GetTitle(); | |
708 | SetModeCalibration(name,2); | |
55a288e5 | 709 | |
3a0f6479 | 710 | // Number of Ybins (detectors or groups of pads) |
711 | Int_t nybins = prf->GetNbinsY();// calibration groups | |
712 | Int_t nbins = prf->GetNbinsX();// bins | |
713 | Int_t nbg = GetNumberOfGroupsPRF((const char *)prf->GetTitle()); | |
714 | if((nbg > 0) || (nbg == -1)) return kFALSE; | |
715 | if (!InitFit(nybins,2)) { | |
55a288e5 | 716 | return kFALSE; |
717 | } | |
3a0f6479 | 718 | if (!InitFitPRF()) { |
55a288e5 | 719 | return kFALSE; |
720 | } | |
721 | fStatisticMean = 0.0; | |
722 | fNumberFit = 0; | |
723 | fNumberFitSuccess = 0; | |
724 | fNumberEnt = 0; | |
55a288e5 | 725 | // Init fCountDet and fCount |
3a0f6479 | 726 | InitfCountDetAndfCount(2); |
55a288e5 | 727 | // Beginning of the loop |
3a0f6479 | 728 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
729 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
730 | UpdatefCountDetAndfCount(idect,2); | |
731 | ReconstructFitRowMinRowMax(idect,2); | |
732 | // Take the histo | |
733 | TH1D *projprf = (TH1D *) prf->ProjectionX("projprf",idect+1,idect+1,(Option_t *) "e"); | |
734 | projprf->SetDirectory(0); | |
735 | // Number of entries for this calibration group | |
736 | Double_t nentries = 0; | |
737 | for (Int_t k = 0; k < nbins; k++) { | |
738 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
739 | nentries += prf->GetBinEntries(binnb); | |
55a288e5 | 740 | } |
3a0f6479 | 741 | if(nentries > 0) fNumberEnt++; |
55a288e5 | 742 | // This detector has not enough statistics or was off |
3a0f6479 | 743 | if (nentries <= fMinEntries) { |
744 | NotEnoughStatisticPRF(idect); | |
745 | if (fDebugLevel != 1) { | |
746 | delete projprf; | |
55a288e5 | 747 | } |
55a288e5 | 748 | continue; |
55a288e5 | 749 | } |
3a0f6479 | 750 | // Statistics of the histos fitted |
55a288e5 | 751 | fNumberFit++; |
3a0f6479 | 752 | fStatisticMean += nentries; |
55a288e5 | 753 | // Calcul of "real" coef |
3a0f6479 | 754 | CalculPRFCoefMean(); |
755 | //Method choosen | |
756 | switch(fMethod) | |
757 | { | |
758 | case 0: FitPRF((TH1 *) projprf); break; | |
759 | case 1: RmsPRF((TH1 *) projprf); break; | |
760 | default: return kFALSE; | |
761 | } | |
55a288e5 | 762 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 763 | FillInfosFitPRF(idect); |
55a288e5 | 764 | // Memory!!! |
3a0f6479 | 765 | if (fDebugLevel != 1) { |
766 | delete projprf; | |
55a288e5 | 767 | } |
55a288e5 | 768 | } // Boucle object |
55a288e5 | 769 | // Mean Statistic |
770 | if (fNumberFit > 0) { | |
771 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
772 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
773 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
774 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
775 | fStatisticMean = fStatisticMean / fNumberFit; | |
776 | } | |
777 | else { | |
778 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
779 | } | |
3a0f6479 | 780 | delete fDebugStreamer; |
781 | fDebugStreamer = 0x0; | |
55a288e5 | 782 | return kTRUE; |
55a288e5 | 783 | } |
3a0f6479 | 784 | //____________Functions fit Online PRF2d_______________________________________ |
785 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(TProfile2D *prf) | |
55a288e5 | 786 | { |
787 | // | |
3a0f6479 | 788 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
789 | // on the Xaxis, for each calibration group | |
790 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 791 | // |
3a0f6479 | 792 | |
793 | // Set the calibration mode | |
794 | const char *name = prf->GetTitle(); | |
795 | SetModeCalibration(name,2); | |
796 | ||
797 | // Number of Ybins (detectors or groups of pads) | |
798 | TAxis *xprf = prf->GetXaxis(); | |
799 | TAxis *yprf = prf->GetYaxis(); | |
800 | Int_t nybins = yprf->GetNbins();// calibration groups | |
801 | Int_t nbins = xprf->GetNbins();// bins | |
802 | Float_t lowedge = (Float_t) xprf->GetBinLowEdge(1);//lowedge in bins | |
803 | Float_t upedge = (Float_t) xprf->GetBinUpEdge(nbins);//upedge in bins | |
804 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
805 | if(nbg == -1) return kFALSE; | |
806 | if(nbg > 0) fMethod = 1; | |
807 | else fMethod = 0; | |
808 | if (!InitFit(nybins,2)) { | |
55a288e5 | 809 | return kFALSE; |
810 | } | |
3a0f6479 | 811 | if (!InitFitPRF()) { |
55a288e5 | 812 | return kFALSE; |
813 | } | |
814 | fStatisticMean = 0.0; | |
3a0f6479 | 815 | fNumberFit = 0; |
55a288e5 | 816 | fNumberFitSuccess = 0; |
817 | fNumberEnt = 0; | |
55a288e5 | 818 | // Init fCountDet and fCount |
3a0f6479 | 819 | InitfCountDetAndfCount(2); |
55a288e5 | 820 | // Beginning of the loop |
3a0f6479 | 821 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
822 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... | |
823 | UpdatefCountDetAndfCount(idect,2); | |
824 | ReconstructFitRowMinRowMax(idect,2); | |
825 | // Build the array of entries and sum | |
826 | TArrayD arraye = TArrayD(nbins); | |
827 | TArrayD arraym = TArrayD(nbins); | |
828 | TArrayD arrayme = TArrayD(nbins); | |
829 | Double_t nentries = 0; | |
830 | //printf("nbins %d\n",nbins); | |
831 | for (Int_t k = 0; k < nbins; k++) { | |
832 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
833 | Double_t entries = (Double_t)prf->GetBinEntries(binnb); | |
834 | Double_t mean = (Double_t)prf->GetBinContent(binnb); | |
835 | Double_t error = (Double_t)prf->GetBinError(binnb); | |
836 | //printf("for %d we have %f\n",k,entries); | |
837 | nentries += entries; | |
838 | arraye.AddAt(entries,k); | |
839 | arraym.AddAt(mean,k); | |
840 | arrayme.AddAt(error,k); | |
55a288e5 | 841 | } |
3a0f6479 | 842 | if(nentries > 0) fNumberEnt++; |
843 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 844 | // This detector has not enough statistics or was off |
3a0f6479 | 845 | if (nentries <= fMinEntries) { |
846 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 847 | continue; |
55a288e5 | 848 | } |
55a288e5 | 849 | // Statistics of the histos fitted |
55a288e5 | 850 | fNumberFit++; |
3a0f6479 | 851 | fStatisticMean += nentries; |
55a288e5 | 852 | // Calcul of "real" coef |
3a0f6479 | 853 | CalculPRFCoefMean(); |
854 | //Method choosen | |
855 | switch(fMethod) | |
856 | { | |
857 | case 0: FitPRFGausMI( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbins, lowedge, upedge); break; | |
858 | case 1: FitTnpRange( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbg, nbins); break; | |
859 | default: return kFALSE; | |
860 | } | |
55a288e5 | 861 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 862 | FillInfosFitPRF(idect); |
55a288e5 | 863 | } // Boucle object |
3a0f6479 | 864 | // Mean Statistic |
55a288e5 | 865 | if (fNumberFit > 0) { |
866 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
867 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
868 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
869 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
870 | fStatisticMean = fStatisticMean / fNumberFit; | |
871 | } | |
872 | else { | |
873 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
874 | } | |
3a0f6479 | 875 | delete fDebugStreamer; |
876 | fDebugStreamer = 0x0; | |
55a288e5 | 877 | return kTRUE; |
55a288e5 | 878 | } |
55a288e5 | 879 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 880 | Bool_t AliTRDCalibraFit::AnalysePRF(AliTRDCalibraVector *calvect) |
55a288e5 | 881 | { |
882 | // | |
3a0f6479 | 883 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for |
884 | // each calibration group | |
55a288e5 | 885 | // Fit with a gaussian to reconstruct the sigma of the pad response function |
55a288e5 | 886 | // |
887 | ||
3a0f6479 | 888 | // Set the calibra mode |
889 | const char *name = calvect->GetNamePRF(); | |
890 | SetModeCalibration(name,2); | |
891 | //printf("test0 %s\n",name); | |
55a288e5 | 892 | |
893 | // Number of Xbins (detectors or groups of pads) | |
3a0f6479 | 894 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { |
895 | //printf("test1\n"); | |
896 | return kFALSE; | |
897 | } | |
898 | if (!InitFitPRF()) { | |
899 | ///printf("test2\n"); | |
55a288e5 | 900 | return kFALSE; |
901 | } | |
902 | fStatisticMean = 0.0; | |
903 | fNumberFit = 0; | |
904 | fNumberFitSuccess = 0; | |
905 | fNumberEnt = 0; | |
55a288e5 | 906 | // Init fCountDet and fCount |
907 | InitfCountDetAndfCount(2); | |
55a288e5 | 908 | // Beginning of the loop |
3a0f6479 | 909 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
910 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........ | |
55a288e5 | 911 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 912 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 913 | // Take the histo |
914 | TH1F *projprf = 0x0; | |
915 | fEntriesCurrent = 0; | |
916 | Bool_t something = kTRUE; | |
917 | if(!calvect->GetPRFEntries(fCountDet)) something = kFALSE; | |
918 | if(something){ | |
919 | TString name("PRF"); | |
920 | name += idect; | |
921 | projprf = CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) name))); | |
922 | projprf->SetDirectory(0); | |
923 | } | |
55a288e5 | 924 | // This detector has not enough statistics or was off |
3a0f6479 | 925 | if (fEntriesCurrent <= fMinEntries) { |
926 | NotEnoughStatisticPRF(idect); | |
927 | if (fDebugLevel != 1) { | |
928 | if(projprf) delete projprf; | |
55a288e5 | 929 | } |
55a288e5 | 930 | continue; |
55a288e5 | 931 | } |
3a0f6479 | 932 | // Statistic of the histos fitted |
55a288e5 | 933 | fNumberFit++; |
3a0f6479 | 934 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 935 | // Calcul of "real" coef |
3a0f6479 | 936 | CalculPRFCoefMean(); |
937 | //Method choosen | |
938 | switch(fMethod) | |
939 | { | |
940 | case 1: FitPRF((TH1 *) projprf); break; | |
941 | case 2: RmsPRF((TH1 *) projprf); break; | |
942 | default: return kFALSE; | |
943 | } | |
55a288e5 | 944 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 945 | FillInfosFitPRF(idect); |
55a288e5 | 946 | // Memory!!! |
3a0f6479 | 947 | if (fDebugLevel != 1) { |
55a288e5 | 948 | delete projprf; |
949 | } | |
55a288e5 | 950 | } // Boucle object |
3a0f6479 | 951 | // Mean Statistics |
55a288e5 | 952 | if (fNumberFit > 0) { |
3a0f6479 | 953 | 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 | 954 | } |
955 | else { | |
956 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
957 | } | |
3a0f6479 | 958 | delete fDebugStreamer; |
959 | fDebugStreamer = 0x0; | |
55a288e5 | 960 | return kTRUE; |
55a288e5 | 961 | } |
55a288e5 | 962 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 963 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(AliTRDCalibraVector *calvect) |
55a288e5 | 964 | { |
965 | // | |
966 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for | |
967 | // each calibration group | |
968 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 969 | // |
970 | ||
3a0f6479 | 971 | // Set the calibra mode |
972 | const char *name = calvect->GetNamePRF(); | |
973 | SetModeCalibration(name,2); | |
974 | //printf("test0 %s\n",name); | |
975 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
976 | printf("test1 %d\n",nbg); | |
977 | if(nbg == -1) return kFALSE; | |
978 | if(nbg > 0) fMethod = 1; | |
979 | else fMethod = 0; | |
980 | // Number of Xbins (detectors or groups of pads) | |
981 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { | |
982 | //printf("test2\n"); | |
55a288e5 | 983 | return kFALSE; |
984 | } | |
3a0f6479 | 985 | if (!InitFitPRF()) { |
986 | //printf("test3\n"); | |
55a288e5 | 987 | return kFALSE; |
988 | } | |
989 | fStatisticMean = 0.0; | |
990 | fNumberFit = 0; | |
991 | fNumberFitSuccess = 0; | |
992 | fNumberEnt = 0; | |
3a0f6479 | 993 | // Variables |
994 | Int_t nbins = 0; | |
995 | Double_t *arrayx = 0; | |
996 | Double_t *arraye = 0; | |
997 | Double_t *arraym = 0; | |
998 | Double_t *arrayme = 0; | |
999 | Float_t lowedge = 0.0; | |
1000 | Float_t upedge = 0.0; | |
55a288e5 | 1001 | // Init fCountDet and fCount |
1002 | InitfCountDetAndfCount(2); | |
55a288e5 | 1003 | // Beginning of the loop |
3a0f6479 | 1004 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
1005 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
55a288e5 | 1006 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 1007 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 1008 | // Take the histo |
1009 | TGraphErrors *projprftree = 0x0; | |
1010 | fEntriesCurrent = 0; | |
1011 | Bool_t something = kTRUE; | |
1012 | if(!calvect->GetPRFEntries(fCountDet)) something = kFALSE; | |
1013 | if(something){ | |
1014 | TString name("PRF"); | |
1015 | name += idect; | |
1016 | projprftree = calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) name); | |
1017 | nbins = projprftree->GetN(); | |
1018 | arrayx = (Double_t *)projprftree->GetX(); | |
1019 | arraye = (Double_t *)projprftree->GetEX(); | |
1020 | arraym = (Double_t *)projprftree->GetY(); | |
1021 | arrayme = (Double_t *)projprftree->GetEY(); | |
1022 | Float_t step = arrayx[1]-arrayx[0]; | |
1023 | lowedge = arrayx[0] - step/2.0; | |
1024 | upedge = arrayx[(nbins-1)] + step/2.0; | |
1025 | //printf("nbins est %d\n",nbins); | |
1026 | for(Int_t k = 0; k < nbins; k++){ | |
1027 | fEntriesCurrent += (Int_t)arraye[k]; | |
1028 | //printf("for %d we have %f, %f\n",k,arraye[k],((projprftree->GetEX())[k])); | |
1029 | if(arraye[k]>0.0) arrayme[k] = TMath::Sqrt(TMath::Abs(arrayme[k]-arraym[k]*arraym[k])/arraye[k]); | |
55a288e5 | 1030 | } |
3a0f6479 | 1031 | if(fEntriesCurrent > 0) fNumberEnt++; |
1032 | } | |
1033 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); | |
1034 | // This detector has not enough statistics or was off | |
1035 | if (fEntriesCurrent <= fMinEntries) { | |
1036 | NotEnoughStatisticPRF(idect); | |
1037 | if(projprftree) delete projprftree; | |
55a288e5 | 1038 | continue; |
55a288e5 | 1039 | } |
55a288e5 | 1040 | // Statistic of the histos fitted |
55a288e5 | 1041 | fNumberFit++; |
1042 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1043 | // Calcul of "real" coef |
3a0f6479 | 1044 | CalculPRFCoefMean(); |
1045 | //Method choosen | |
1046 | switch(fMethod) | |
1047 | { | |
1048 | case 0: FitPRFGausMI(arraye,arraym,arrayme,nbins,lowedge,upedge); break; | |
1049 | case 1: FitTnpRange(arraye,arraym,arrayme,nbg,nbins); break; | |
1050 | default: return kFALSE; | |
1051 | } | |
55a288e5 | 1052 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 1053 | FillInfosFitPRF(idect); |
55a288e5 | 1054 | // Memory!!! |
3a0f6479 | 1055 | if (fDebugLevel != 1) { |
1056 | delete projprftree; | |
55a288e5 | 1057 | } |
55a288e5 | 1058 | } // Boucle object |
55a288e5 | 1059 | // Mean Statistics |
1060 | if (fNumberFit > 0) { | |
3a0f6479 | 1061 | 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 | 1062 | } |
1063 | else { | |
1064 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1065 | } | |
3a0f6479 | 1066 | delete fDebugStreamer; |
1067 | fDebugStreamer = 0x0; | |
55a288e5 | 1068 | return kTRUE; |
55a288e5 | 1069 | } |
3a0f6479 | 1070 | //____________Functions fit Online CH2d________________________________________ |
1071 | Bool_t AliTRDCalibraFit::AnalyseLinearFitters(AliTRDCalibraVdriftLinearFit *calivdli) | |
55a288e5 | 1072 | { |
1073 | // | |
3a0f6479 | 1074 | // The linear method |
55a288e5 | 1075 | // |
1076 | ||
55a288e5 | 1077 | fStatisticMean = 0.0; |
1078 | fNumberFit = 0; | |
1079 | fNumberFitSuccess = 0; | |
1080 | fNumberEnt = 0; | |
3a0f6479 | 1081 | if(!InitFitLinearFitter()) return kFALSE; |
55a288e5 | 1082 | |
3a0f6479 | 1083 | |
1084 | for(Int_t idet = 0; idet < 540; idet++){ | |
55a288e5 | 1085 | |
55a288e5 | 1086 | |
3a0f6479 | 1087 | //printf("detector number %d\n",idet); |
55a288e5 | 1088 | |
3a0f6479 | 1089 | // Take the result |
1090 | TVectorD param(2); | |
1091 | TVectorD error(3); | |
1092 | fEntriesCurrent = 0; | |
1093 | fCountDet = idet; | |
1094 | Bool_t here = calivdli->GetParam(idet,¶m); | |
1095 | Bool_t heree = calivdli->GetError(idet,&error); | |
1096 | //printf("here %d and heree %d\n",here, heree); | |
1097 | if(heree) { | |
1098 | fEntriesCurrent = (Int_t) error[2]; | |
55a288e5 | 1099 | fNumberEnt++; |
55a288e5 | 1100 | } |
3a0f6479 | 1101 | //printf("Number of entries %d\n",fEntriesCurrent); |
1102 | // Nothing found or not enough statistic | |
1103 | if((!heree) || (!here) || (fEntriesCurrent <= fMinEntries)) { | |
1104 | NotEnoughStatisticLinearFitter(); | |
1105 | continue; | |
1106 | } | |
1107 | //param.Print(); | |
1108 | //error.Print(); | |
1109 | //Statistics | |
1110 | fNumberFit++; | |
1111 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1112 | |
3a0f6479 | 1113 | // Check the fit |
1114 | if((-(param[1])) <= 0.0) { | |
1115 | NotEnoughStatisticLinearFitter(); | |
1116 | continue; | |
1117 | } | |
55a288e5 | 1118 | |
3a0f6479 | 1119 | // CalculDatabaseVdriftandTan |
1120 | CalculVdriftLorentzCoef(); | |
55a288e5 | 1121 | |
3a0f6479 | 1122 | // Statistics |
1123 | fNumberFitSuccess ++; | |
55a288e5 | 1124 | |
3a0f6479 | 1125 | // Put the fCurrentCoef |
1126 | fCurrentCoef[0] = -param[1]; | |
1127 | // here the database must be the one of the reconstruction for the lorentz angle.... | |
1128 | fCurrentCoef2[0] = (param[0]+fCurrentCoef[1]*fCurrentCoef2[1])/fCurrentCoef[0]; | |
1129 | fCurrentCoefE = error[1]; | |
1130 | fCurrentCoefE2 = error[0]; | |
1131 | if((fCurrentCoef2[0] != 0.0) && (param[0] != 0.0)){ | |
1132 | fCurrentCoefE2 = (fCurrentCoefE2/param[0]+fCurrentCoefE/fCurrentCoef[0])*fCurrentCoef2[0]; | |
1133 | } | |
55a288e5 | 1134 | |
3a0f6479 | 1135 | // Fill |
1136 | FillInfosFitLinearFitter(); | |
55a288e5 | 1137 | |
55a288e5 | 1138 | |
55a288e5 | 1139 | } |
55a288e5 | 1140 | // Mean Statistics |
1141 | if (fNumberFit > 0) { | |
3a0f6479 | 1142 | 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 | 1143 | } |
1144 | else { | |
1145 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1146 | } | |
3a0f6479 | 1147 | delete fDebugStreamer; |
1148 | fDebugStreamer = 0x0; | |
55a288e5 | 1149 | return kTRUE; |
1150 | ||
1151 | } | |
55a288e5 | 1152 | //____________Functions for seeing if the pad is really okey___________________ |
3a0f6479 | 1153 | //_____________________________________________________________________________ |
1154 | Int_t AliTRDCalibraFit::GetNumberOfGroupsPRF(const char* nametitle) | |
1155 | { | |
1156 | // | |
1157 | // Get numberofgroupsprf | |
1158 | // | |
1159 | ||
1160 | // Some patterns | |
1161 | const Char_t *pattern0 = "Ngp0"; | |
1162 | const Char_t *pattern1 = "Ngp1"; | |
1163 | const Char_t *pattern2 = "Ngp2"; | |
1164 | const Char_t *pattern3 = "Ngp3"; | |
1165 | const Char_t *pattern4 = "Ngp4"; | |
1166 | const Char_t *pattern5 = "Ngp5"; | |
1167 | const Char_t *pattern6 = "Ngp6"; | |
1168 | ||
1169 | // Nrphi mode | |
1170 | if (strstr(nametitle,pattern0)) { | |
1171 | return 0; | |
1172 | } | |
1173 | if (strstr(nametitle,pattern1)) { | |
1174 | return 1; | |
1175 | } | |
1176 | if (strstr(nametitle,pattern2)) { | |
1177 | return 2; | |
1178 | } | |
1179 | if (strstr(nametitle,pattern3)) { | |
1180 | return 3; | |
1181 | } | |
1182 | if (strstr(nametitle,pattern4)) { | |
1183 | return 4; | |
1184 | } | |
1185 | if (strstr(nametitle,pattern5)) { | |
1186 | return 5; | |
1187 | } | |
1188 | if (strstr(nametitle,pattern6)){ | |
1189 | return 6; | |
1190 | } | |
1191 | else return -1; | |
1192 | ||
55a288e5 | 1193 | |
3a0f6479 | 1194 | } |
55a288e5 | 1195 | //_____________________________________________________________________________ |
3a0f6479 | 1196 | Bool_t AliTRDCalibraFit::SetModeCalibration(const char *name, Int_t i) |
55a288e5 | 1197 | { |
1198 | // | |
1199 | // Set fNz[i] and fNrphi[i] of the AliTRDCalibraFit::Instance() | |
3a0f6479 | 1200 | // corresponding to the given name |
55a288e5 | 1201 | // |
1202 | ||
3a0f6479 | 1203 | if(!SetNzFromTObject(name,i)) return kFALSE; |
1204 | if(!SetNrphiFromTObject(name,i)) return kFALSE; | |
1205 | ||
1206 | return kTRUE; | |
55a288e5 | 1207 | |
3a0f6479 | 1208 | } |
1209 | //_____________________________________________________________________________ | |
1210 | Bool_t AliTRDCalibraFit::SetNrphiFromTObject(const char *name, Int_t i) | |
1211 | { | |
1212 | // | |
1213 | // Set fNrphi[i] of the AliTRDCalibraFit::Instance() | |
1214 | // corresponding to the given TObject | |
1215 | // | |
1216 | ||
55a288e5 | 1217 | // Some patterns |
55a288e5 | 1218 | const Char_t *patternrphi0 = "Nrphi0"; |
1219 | const Char_t *patternrphi1 = "Nrphi1"; | |
1220 | const Char_t *patternrphi2 = "Nrphi2"; | |
1221 | const Char_t *patternrphi3 = "Nrphi3"; | |
1222 | const Char_t *patternrphi4 = "Nrphi4"; | |
1223 | const Char_t *patternrphi5 = "Nrphi5"; | |
1224 | const Char_t *patternrphi6 = "Nrphi6"; | |
1225 | ||
55a288e5 | 1226 | // Nrphi mode |
3a0f6479 | 1227 | if (strstr(name,patternrphi0)) { |
55a288e5 | 1228 | fCalibraMode->SetNrphi(i ,0); |
3a0f6479 | 1229 | return kTRUE; |
55a288e5 | 1230 | } |
3a0f6479 | 1231 | if (strstr(name,patternrphi1)) { |
55a288e5 | 1232 | fCalibraMode->SetNrphi(i, 1); |
3a0f6479 | 1233 | return kTRUE; |
55a288e5 | 1234 | } |
3a0f6479 | 1235 | if (strstr(name,patternrphi2)) { |
55a288e5 | 1236 | fCalibraMode->SetNrphi(i, 2); |
3a0f6479 | 1237 | return kTRUE; |
55a288e5 | 1238 | } |
3a0f6479 | 1239 | if (strstr(name,patternrphi3)) { |
55a288e5 | 1240 | fCalibraMode->SetNrphi(i, 3); |
3a0f6479 | 1241 | return kTRUE; |
55a288e5 | 1242 | } |
3a0f6479 | 1243 | if (strstr(name,patternrphi4)) { |
55a288e5 | 1244 | fCalibraMode->SetNrphi(i, 4); |
3a0f6479 | 1245 | return kTRUE; |
55a288e5 | 1246 | } |
3a0f6479 | 1247 | if (strstr(name,patternrphi5)) { |
55a288e5 | 1248 | fCalibraMode->SetNrphi(i, 5); |
3a0f6479 | 1249 | return kTRUE; |
55a288e5 | 1250 | } |
3a0f6479 | 1251 | if (strstr(name,patternrphi6)) { |
55a288e5 | 1252 | fCalibraMode->SetNrphi(i, 6); |
55a288e5 | 1253 | return kTRUE; |
1254 | } | |
55a288e5 | 1255 | |
3a0f6479 | 1256 | fCalibraMode->SetNrphi(i ,0); |
1257 | return kFALSE; | |
1258 | ||
55a288e5 | 1259 | } |
55a288e5 | 1260 | //_____________________________________________________________________________ |
3a0f6479 | 1261 | Bool_t AliTRDCalibraFit::SetNzFromTObject(const char *name, Int_t i) |
55a288e5 | 1262 | { |
1263 | // | |
3a0f6479 | 1264 | // Set fNz[i] of the AliTRDCalibraFit::Instance() |
1265 | // corresponding to the given TObject | |
55a288e5 | 1266 | // |
3a0f6479 | 1267 | |
1268 | // Some patterns | |
1269 | const Char_t *patternz0 = "Nz0"; | |
1270 | const Char_t *patternz1 = "Nz1"; | |
1271 | const Char_t *patternz2 = "Nz2"; | |
1272 | const Char_t *patternz3 = "Nz3"; | |
1273 | const Char_t *patternz4 = "Nz4"; | |
55a288e5 | 1274 | |
3a0f6479 | 1275 | if (strstr(name,patternz0)) { |
1276 | fCalibraMode->SetNz(i, 0); | |
1277 | return kTRUE; | |
55a288e5 | 1278 | } |
3a0f6479 | 1279 | if (strstr(name,patternz1)) { |
1280 | fCalibraMode->SetNz(i ,1); | |
1281 | return kTRUE; | |
55a288e5 | 1282 | } |
3a0f6479 | 1283 | if (strstr(name,patternz2)) { |
1284 | fCalibraMode->SetNz(i ,2); | |
1285 | return kTRUE; | |
55a288e5 | 1286 | } |
3a0f6479 | 1287 | if (strstr(name,patternz3)) { |
1288 | fCalibraMode->SetNz(i ,3); | |
1289 | return kTRUE; | |
55a288e5 | 1290 | } |
3a0f6479 | 1291 | if (strstr(name,patternz4)) { |
1292 | fCalibraMode->SetNz(i ,4); | |
1293 | return kTRUE; | |
55a288e5 | 1294 | } |
3a0f6479 | 1295 | |
1296 | fCalibraMode->SetNz(i ,0); | |
1297 | return kFALSE; | |
1298 | } | |
1299 | //_____________________________________________________________________________ | |
1300 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectVdrift(TObjArray *vectorFit, Bool_t perdetector) | |
1301 | { | |
1302 | // | |
1303 | // It creates the AliTRDCalDet object from the AliTRDFitInfo | |
1304 | // It takes the mean value of the coefficients per detector | |
1305 | // This object has to be written in the database | |
1306 | // | |
55a288e5 | 1307 | |
3a0f6479 | 1308 | // Create the DetObject |
1309 | AliTRDCalDet *object = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
1310 | ||
1311 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1312 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1313 | Int_t detector = -1; | |
1314 | Float_t value = 0.0; | |
1315 | ||
1316 | for (Int_t k = 0; k < loop; k++) { | |
1317 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1318 | Float_t mean = 0.0; | |
1319 | if(perdetector){ | |
1320 | mean = TMath::Abs(((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]); | |
55a288e5 | 1321 | } |
1322 | else { | |
3a0f6479 | 1323 | Int_t count = 0; |
1324 | Int_t rowMax = fGeo->GetRowMax(GetPlane(detector),GetChamber(detector),GetSector(detector)); | |
1325 | Int_t colMax = fGeo->GetColMax(GetPlane(detector)); | |
1326 | for (Int_t row = 0; row < rowMax; row++) { | |
1327 | for (Int_t col = 0; col < colMax; col++) { | |
1328 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1329 | mean += TMath::Abs(value); | |
1330 | count++; | |
1331 | } // Col | |
1332 | } // Row | |
1333 | if(count > 0) mean = mean/count; | |
55a288e5 | 1334 | } |
1335 | object->SetValue(detector,mean); | |
1336 | } | |
3a0f6479 | 1337 | |
55a288e5 | 1338 | return object; |
55a288e5 | 1339 | } |
55a288e5 | 1340 | //_____________________________________________________________________________ |
3a0f6479 | 1341 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectGain(TObjArray *vectorFit, Double_t scaleFitFactor, Bool_t perdetector) |
55a288e5 | 1342 | { |
1343 | // | |
3a0f6479 | 1344 | // It creates the AliTRDCalDet object from the AliTRDFitInfo |
1345 | // It takes the mean value of the coefficients per detector | |
55a288e5 | 1346 | // This object has to be written in the database |
1347 | // | |
1348 | ||
1349 | // Create the DetObject | |
3a0f6479 | 1350 | AliTRDCalDet *object = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); |
55a288e5 | 1351 | |
3a0f6479 | 1352 | |
1353 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1354 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1355 | Int_t detector = -1; | |
1356 | Float_t value = 0.0; | |
1357 | ||
1358 | for (Int_t k = 0; k < loop; k++) { | |
1359 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1360 | Float_t mean = 0.0; | |
1361 | if(perdetector){ | |
1362 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
1363 | if(value > 0) value = value*scaleFitFactor; | |
1364 | mean = TMath::Abs(value); | |
1365 | } | |
1366 | else{ | |
1367 | Int_t count = 0; | |
1368 | Int_t rowMax = fGeo->GetRowMax(GetPlane(detector),GetChamber(detector),GetSector(detector)); | |
1369 | Int_t colMax = fGeo->GetColMax(GetPlane(detector)); | |
1370 | for (Int_t row = 0; row < rowMax; row++) { | |
1371 | for (Int_t col = 0; col < colMax; col++) { | |
1372 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1373 | if(value > 0) value = value*scaleFitFactor; | |
1374 | mean += TMath::Abs(value); | |
1375 | count++; | |
1376 | } // Col | |
1377 | } // Row | |
1378 | if(count > 0) mean = mean/count; | |
1379 | } | |
1380 | object->SetValue(detector,mean); | |
55a288e5 | 1381 | } |
3a0f6479 | 1382 | |
1383 | return object; | |
1384 | } | |
1385 | //_____________________________________________________________________________ | |
1386 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectT0(TObjArray *vectorFit, Bool_t perdetector) | |
1387 | { | |
1388 | // | |
1389 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 | |
1390 | // It takes the min value of the coefficients per detector | |
1391 | // This object has to be written in the database | |
1392 | // | |
55a288e5 | 1393 | |
3a0f6479 | 1394 | // Create the DetObject |
1395 | AliTRDCalDet *object = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
55a288e5 | 1396 | |
3a0f6479 | 1397 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); |
1398 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1399 | Int_t detector = -1; | |
1400 | Float_t value = 0.0; | |
1401 | ||
1402 | for (Int_t k = 0; k < loop; k++) { | |
1403 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1404 | Float_t min = 100.0; | |
1405 | if(perdetector){ | |
1406 | min = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
55a288e5 | 1407 | } |
3a0f6479 | 1408 | else{ |
1409 | Int_t rowMax = fGeo->GetRowMax(GetPlane(detector),GetChamber(detector),GetSector(detector)); | |
1410 | Int_t colMax = fGeo->GetColMax(GetPlane(detector)); | |
1411 | for (Int_t row = 0; row < rowMax; row++) { | |
1412 | for (Int_t col = 0; col < colMax; col++) { | |
1413 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1414 | if(min > value) min = value; | |
1415 | } // Col | |
1416 | } // Row | |
1417 | } | |
1418 | object->SetValue(detector,min); | |
55a288e5 | 1419 | } |
1420 | ||
1421 | return object; | |
1422 | ||
1423 | } | |
55a288e5 | 1424 | //_____________________________________________________________________________ |
3a0f6479 | 1425 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectLorentzAngle(TObjArray *vectorFit) |
55a288e5 | 1426 | { |
1427 | // | |
3a0f6479 | 1428 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 |
1429 | // It takes the min value of the coefficients per detector | |
55a288e5 | 1430 | // This object has to be written in the database |
1431 | // | |
1432 | ||
1433 | // Create the DetObject | |
3a0f6479 | 1434 | AliTRDCalDet *object = new AliTRDCalDet("tan(lorentzangle)","tan(lorentzangle) (detector value)"); |
1435 | ||
1436 | ||
1437 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1438 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1439 | Int_t detector = -1; | |
1440 | Float_t value = 0.0; | |
55a288e5 | 1441 | |
3a0f6479 | 1442 | for (Int_t k = 0; k < loop; k++) { |
1443 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1444 | /* | |
1445 | Int_t rowMax = fGeo->GetRowMax(GetPlane(detector),GetChamber(detector),GetSector(detector)); | |
1446 | Int_t colMax = fGeo->GetColMax(GetPlane(detector)); | |
1447 | Float_t min = 100.0; | |
1448 | for (Int_t row = 0; row < rowMax; row++) { | |
1449 | for (Int_t col = 0; col < colMax; col++) { | |
1450 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1451 | mean += -TMath::Abs(value); | |
1452 | count++; | |
55a288e5 | 1453 | } // Col |
3a0f6479 | 1454 | } // Row |
1455 | if(count > 0) mean = mean/count; | |
1456 | */ | |
1457 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
1458 | object->SetValue(detector,-TMath::Abs(value)); | |
55a288e5 | 1459 | } |
1460 | ||
1461 | return object; | |
3a0f6479 | 1462 | |
55a288e5 | 1463 | } |
55a288e5 | 1464 | //_____________________________________________________________________________ |
3a0f6479 | 1465 | TObject *AliTRDCalibraFit::CreatePadObjectGain(TObjArray *vectorFit, Double_t scaleFitFactor, AliTRDCalDet *detobject) |
1466 | { | |
55a288e5 | 1467 | // |
3a0f6479 | 1468 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
1469 | // You need first to create the object for the detectors, | |
1470 | // where the mean value is put. | |
1471 | // This object has to be written in the database | |
55a288e5 | 1472 | // |
3a0f6479 | 1473 | |
1474 | // Create the DetObject | |
1475 | AliTRDCalPad *object = new AliTRDCalPad("GainFactor","GainFactor (local variations)"); | |
1476 | ||
1477 | if(!vectorFit){ | |
1478 | for(Int_t k = 0; k < 540; k++){ | |
1479 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1480 | Int_t nchannels = calROC->GetNchannels(); | |
1481 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1482 | calROC->SetValue(ch,1.0); | |
1483 | } | |
1484 | } | |
55a288e5 | 1485 | } |
3a0f6479 | 1486 | else{ |
1487 | ||
1488 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1489 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1490 | Int_t detector = -1; | |
1491 | Float_t value = 0.0; | |
1492 | ||
1493 | for (Int_t k = 0; k < loop; k++) { | |
1494 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1495 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1496 | Float_t mean = detobject->GetValue(detector); | |
1497 | if(mean == 0) continue; | |
1498 | Int_t rowMax = calROC->GetNrows(); | |
1499 | Int_t colMax = calROC->GetNcols(); | |
1500 | for (Int_t row = 0; row < rowMax; row++) { | |
1501 | for (Int_t col = 0; col < colMax; col++) { | |
1502 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1503 | if(value > 0) value = value*scaleFitFactor; | |
1504 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
1505 | } // Col | |
1506 | } // Row | |
1507 | } | |
55a288e5 | 1508 | } |
1509 | ||
3a0f6479 | 1510 | return object; |
55a288e5 | 1511 | } |
55a288e5 | 1512 | //_____________________________________________________________________________ |
3a0f6479 | 1513 | TObject *AliTRDCalibraFit::CreatePadObjectVdrift(TObjArray *vectorFit, AliTRDCalDet *detobject) |
1514 | { | |
55a288e5 | 1515 | // |
3a0f6479 | 1516 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
1517 | // You need first to create the object for the detectors, | |
1518 | // where the mean value is put. | |
1519 | // This object has to be written in the database | |
55a288e5 | 1520 | // |
1521 | ||
3a0f6479 | 1522 | // Create the DetObject |
1523 | AliTRDCalPad *object = new AliTRDCalPad("LocalVdrift","TRD drift velocities (local variations)"); | |
1524 | ||
1525 | if(!vectorFit){ | |
1526 | for(Int_t k = 0; k < 540; k++){ | |
1527 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1528 | Int_t nchannels = calROC->GetNchannels(); | |
1529 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1530 | calROC->SetValue(ch,1.0); | |
1531 | } | |
1532 | } | |
55a288e5 | 1533 | } |
1534 | else { | |
3a0f6479 | 1535 | |
1536 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1537 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1538 | Int_t detector = -1; | |
1539 | Float_t value = 0.0; | |
1540 | ||
1541 | for (Int_t k = 0; k < loop; k++) { | |
1542 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1543 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1544 | Float_t mean = detobject->GetValue(detector); | |
1545 | if(mean == 0) continue; | |
1546 | Int_t rowMax = calROC->GetNrows(); | |
1547 | Int_t colMax = calROC->GetNcols(); | |
1548 | for (Int_t row = 0; row < rowMax; row++) { | |
1549 | for (Int_t col = 0; col < colMax; col++) { | |
1550 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1551 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
1552 | } // Col | |
1553 | } // Row | |
1554 | } | |
55a288e5 | 1555 | } |
3a0f6479 | 1556 | return object; |
55a288e5 | 1557 | |
1558 | } | |
55a288e5 | 1559 | //_____________________________________________________________________________ |
3a0f6479 | 1560 | TObject *AliTRDCalibraFit::CreatePadObjectT0(TObjArray *vectorFit, AliTRDCalDet *detobject) |
1561 | { | |
55a288e5 | 1562 | // |
3a0f6479 | 1563 | // It Creates the AliTRDCalPad object from AliTRDFitInfo2 |
1564 | // You need first to create the object for the detectors, | |
1565 | // where the mean value is put. | |
1566 | // This object has to be written in the database | |
55a288e5 | 1567 | // |
3a0f6479 | 1568 | |
1569 | // Create the DetObject | |
1570 | AliTRDCalPad *object = new AliTRDCalPad("LocalT0","T0 (local variations)"); | |
1571 | ||
1572 | if(!vectorFit){ | |
1573 | for(Int_t k = 0; k < 540; k++){ | |
1574 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1575 | Int_t nchannels = calROC->GetNchannels(); | |
1576 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1577 | calROC->SetValue(ch,0.0); | |
1578 | } | |
1579 | } | |
55a288e5 | 1580 | } |
1581 | else { | |
3a0f6479 | 1582 | |
1583 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1584 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1585 | Int_t detector = -1; | |
1586 | Float_t value = 0.0; | |
1587 | ||
1588 | for (Int_t k = 0; k < loop; k++) { | |
1589 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1590 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1591 | Float_t min = detobject->GetValue(detector); | |
1592 | Int_t rowMax = calROC->GetNrows(); | |
1593 | Int_t colMax = calROC->GetNcols(); | |
1594 | for (Int_t row = 0; row < rowMax; row++) { | |
1595 | for (Int_t col = 0; col < colMax; col++) { | |
1596 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1597 | calROC->SetValue(col,row,value-min); | |
1598 | } // Col | |
1599 | } // Row | |
1600 | } | |
55a288e5 | 1601 | } |
3a0f6479 | 1602 | return object; |
55a288e5 | 1603 | |
1604 | } | |
3a0f6479 | 1605 | //_____________________________________________________________________________ |
1606 | TObject *AliTRDCalibraFit::CreatePadObjectPRF(TObjArray *vectorFit) | |
1607 | { | |
1608 | // | |
1609 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
1610 | // This object has to be written in the database | |
1611 | // | |
1612 | ||
1613 | // Create the DetObject | |
1614 | AliTRDCalPad *object = new AliTRDCalPad("PRFWidth","PRFWidth"); | |
1615 | ||
1616 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1617 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1618 | Int_t detector = -1; | |
1619 | Float_t value = 0.0; | |
55a288e5 | 1620 | |
3a0f6479 | 1621 | for (Int_t k = 0; k < loop; k++) { |
1622 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1623 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1624 | Int_t rowMax = calROC->GetNrows(); | |
1625 | Int_t colMax = calROC->GetNcols(); | |
1626 | for (Int_t row = 0; row < rowMax; row++) { | |
1627 | for (Int_t col = 0; col < colMax; col++) { | |
1628 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1629 | calROC->SetValue(col,row,TMath::Abs(value)); | |
1630 | } // Col | |
1631 | } // Row | |
1632 | } | |
1633 | ||
1634 | return object; | |
1635 | ||
1636 | } | |
55a288e5 | 1637 | //_____________________________________________________________________________ |
3a0f6479 | 1638 | AliTRDCalDet *AliTRDCalibraFit::MakeOutliersStatDet(TObjArray *vectorFit, const char *name, Double_t &mean) |
1639 | { | |
1640 | // | |
1641 | // It Creates the AliTRDCalDet object from AliTRDFitInfo | |
1642 | // 0 successful fit 1 not successful fit | |
1643 | // mean is the mean value over the successful fit | |
1644 | // do not use it for t0: no meaning | |
1645 | // | |
1646 | ||
1647 | // Create the CalObject | |
1648 | AliTRDCalDet *object = new AliTRDCalDet(name,name); | |
1649 | mean = 0.0; | |
1650 | Int_t count = 0; | |
1651 | ||
1652 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1653 | if(loop != 540) { | |
1654 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
1655 | for(Int_t k = 0; k < 540; k++){ | |
1656 | object->SetValue(k,1.0); | |
1657 | } | |
1658 | } | |
1659 | Int_t detector = -1; | |
1660 | Float_t value = 0.0; | |
1661 | ||
1662 | for (Int_t k = 0; k < loop; k++) { | |
1663 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1664 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
1665 | if(value <= 0) object->SetValue(detector,1.0); | |
1666 | else { | |
1667 | object->SetValue(detector,0.0); | |
1668 | mean += value; | |
1669 | count++; | |
1670 | } | |
1671 | } | |
1672 | if(count > 0) mean /= count; | |
1673 | return object; | |
1674 | } | |
1675 | //_____________________________________________________________________________ | |
1676 | TObject *AliTRDCalibraFit::MakeOutliersStatPad(TObjArray *vectorFit, const char *name, Double_t &mean) | |
1677 | { | |
1678 | // | |
1679 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
1680 | // 0 not successful fit 1 successful fit | |
1681 | // mean mean value over the successful fit | |
1682 | // | |
1683 | ||
1684 | // Create the CalObject | |
1685 | AliTRDCalPad *object = new AliTRDCalPad(name,name); | |
1686 | mean = 0.0; | |
1687 | Int_t count = 0; | |
1688 | ||
1689 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1690 | if(loop != 540) { | |
1691 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
1692 | for(Int_t k = 0; k < 540; k++){ | |
1693 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1694 | Int_t nchannels = calROC->GetNchannels(); | |
1695 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1696 | calROC->SetValue(ch,1.0); | |
1697 | } | |
1698 | } | |
1699 | } | |
1700 | Int_t detector = -1; | |
1701 | Float_t value = 0.0; | |
1702 | ||
1703 | for (Int_t k = 0; k < loop; k++) { | |
1704 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1705 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1706 | Int_t nchannels = calROC->GetNchannels(); | |
1707 | for (Int_t ch = 0; ch < nchannels; ch++) { | |
1708 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[ch]; | |
1709 | if(value <= 0) calROC->SetValue(ch,1.0); | |
1710 | else { | |
1711 | calROC->SetValue(ch,0.0); | |
1712 | mean += value; | |
1713 | count++; | |
1714 | } | |
1715 | } // channels | |
1716 | } | |
1717 | if(count > 0) mean /= count; | |
1718 | return object; | |
1719 | } | |
1720 | //_____________________________________________________________________________ | |
1721 | void AliTRDCalibraFit::SetPeriodeFitPH(Int_t periodeFitPH) | |
55a288e5 | 1722 | { |
1723 | // | |
3a0f6479 | 1724 | // Set FitPH if 1 then each detector will be fitted |
55a288e5 | 1725 | // |
1726 | ||
3a0f6479 | 1727 | if (periodeFitPH > 0) { |
1728 | fFitPHPeriode = periodeFitPH; | |
55a288e5 | 1729 | } |
1730 | else { | |
3a0f6479 | 1731 | AliInfo("periodeFitPH must be higher than 0!"); |
55a288e5 | 1732 | } |
1733 | ||
1734 | } | |
55a288e5 | 1735 | //_____________________________________________________________________________ |
1736 | void AliTRDCalibraFit::SetBeginFitCharge(Float_t beginFitCharge) | |
1737 | { | |
1738 | // | |
1739 | // The fit of the deposited charge distribution begins at | |
1740 | // histo->Mean()/beginFitCharge | |
1741 | // You can here set beginFitCharge | |
1742 | // | |
1743 | ||
1744 | if (beginFitCharge > 0) { | |
1745 | fBeginFitCharge = beginFitCharge; | |
1746 | } | |
1747 | else { | |
1748 | AliInfo("beginFitCharge must be strict positif!"); | |
1749 | } | |
1750 | ||
1751 | } | |
1752 | ||
1753 | //_____________________________________________________________________________ | |
1754 | void AliTRDCalibraFit::SetT0Shift(Float_t t0Shift) | |
1755 | { | |
1756 | // | |
1757 | // The t0 calculated with the maximum positif slope is shift from t0Shift | |
1758 | // You can here set t0Shift | |
1759 | // | |
1760 | ||
1761 | if (t0Shift > 0) { | |
1762 | fT0Shift = t0Shift; | |
1763 | } | |
1764 | else { | |
1765 | AliInfo("t0Shift must be strict positif!"); | |
1766 | } | |
1767 | ||
1768 | } | |
1769 | ||
1770 | //_____________________________________________________________________________ | |
1771 | void AliTRDCalibraFit::SetRangeFitPRF(Float_t rangeFitPRF) | |
1772 | { | |
1773 | // | |
1774 | // The fit of the PRF is from -rangeFitPRF to rangeFitPRF | |
1775 | // You can here set rangeFitPRF | |
1776 | // | |
1777 | ||
1778 | if ((rangeFitPRF > 0) && | |
1779 | (rangeFitPRF <= 1.5)) { | |
1780 | fRangeFitPRF = rangeFitPRF; | |
1781 | } | |
1782 | else { | |
1783 | AliInfo("rangeFitPRF must be between 0 and 1.0"); | |
1784 | } | |
1785 | ||
1786 | } | |
1787 | ||
3a0f6479 | 1788 | //_____________________________________________________________________________ |
1789 | void AliTRDCalibraFit::SetMinEntries(Int_t minEntries) | |
1790 | { | |
1791 | // | |
1792 | // Minimum entries for fitting | |
1793 | // | |
1794 | ||
1795 | if (minEntries > 0) { | |
1796 | fMinEntries = minEntries; | |
1797 | } | |
1798 | else { | |
1799 | AliInfo("fMinEntries must be >= 0."); | |
1800 | } | |
1801 | ||
1802 | } | |
1803 | ||
55a288e5 | 1804 | //_____________________________________________________________________________ |
1805 | void AliTRDCalibraFit::SetRebin(Short_t rebin) | |
1806 | { | |
1807 | // | |
1808 | // Rebin with rebin time less bins the Ch histo | |
1809 | // You can set here rebin that should divide the number of bins of CH histo | |
1810 | // | |
1811 | ||
1812 | if (rebin > 0) { | |
1813 | fRebin = rebin; | |
1814 | AliInfo("You have to be sure that fRebin divides fNumberBinCharge used!"); | |
1815 | } | |
1816 | else { | |
1817 | AliInfo("You have to choose a positiv value!"); | |
1818 | } | |
1819 | ||
1820 | } | |
55a288e5 | 1821 | //_____________________________________________________________________________ |
3a0f6479 | 1822 | Bool_t AliTRDCalibraFit::FillVectorFit() |
55a288e5 | 1823 | { |
1824 | // | |
3a0f6479 | 1825 | // For the Fit functions fill the vector Fit |
55a288e5 | 1826 | // |
55a288e5 | 1827 | |
3a0f6479 | 1828 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 1829 | |
3a0f6479 | 1830 | Int_t ntotal = 1; |
1831 | if (GetChamber(fCountDet) == 2) { | |
1832 | ntotal = 1728; | |
55a288e5 | 1833 | } |
3a0f6479 | 1834 | else { |
1835 | ntotal = 2304; | |
55a288e5 | 1836 | } |
3a0f6479 | 1837 | |
1838 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
1839 | Float_t *coef = new Float_t[ntotal]; | |
1840 | for (Int_t i = 0; i < ntotal; i++) { | |
1841 | coef[i] = fCurrentCoefDetector[i]; | |
55a288e5 | 1842 | } |
3a0f6479 | 1843 | |
1844 | Int_t detector = fCountDet; | |
1845 | // Set | |
1846 | fitInfo->SetCoef(coef); | |
1847 | fitInfo->SetDetector(detector); | |
1848 | fVectorFit.Add((TObject *) fitInfo); | |
1849 | ||
1850 | return kTRUE; | |
55a288e5 | 1851 | |
3a0f6479 | 1852 | } |
55a288e5 | 1853 | //_____________________________________________________________________________ |
3a0f6479 | 1854 | Bool_t AliTRDCalibraFit::FillVectorFit2() |
55a288e5 | 1855 | { |
1856 | // | |
3a0f6479 | 1857 | // For the Fit functions fill the vector Fit |
55a288e5 | 1858 | // |
55a288e5 | 1859 | |
3a0f6479 | 1860 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 1861 | |
3a0f6479 | 1862 | Int_t ntotal = 1; |
1863 | if (GetChamber(fCountDet) == 2) { | |
1864 | ntotal = 1728; | |
55a288e5 | 1865 | } |
3a0f6479 | 1866 | else { |
1867 | ntotal = 2304; | |
55a288e5 | 1868 | } |
3a0f6479 | 1869 | |
1870 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
1871 | Float_t *coef = new Float_t[ntotal]; | |
1872 | for (Int_t i = 0; i < ntotal; i++) { | |
1873 | coef[i] = fCurrentCoefDetector2[i]; | |
55a288e5 | 1874 | } |
3a0f6479 | 1875 | |
1876 | Int_t detector = fCountDet; | |
1877 | // Set | |
1878 | fitInfo->SetCoef(coef); | |
1879 | fitInfo->SetDetector(detector); | |
1880 | fVectorFit2.Add((TObject *) fitInfo); | |
55a288e5 | 1881 | |
3a0f6479 | 1882 | return kTRUE; |
55a288e5 | 1883 | |
3a0f6479 | 1884 | } |
1885 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
1886 | Bool_t AliTRDCalibraFit::InitFit(Int_t nbins, Int_t i) | |
55a288e5 | 1887 | { |
1888 | // | |
3a0f6479 | 1889 | // Init the number of expected bins and fDect1[i] fDect2[i] |
55a288e5 | 1890 | // |
1891 | ||
3a0f6479 | 1892 | gStyle->SetPalette(1); |
1893 | gStyle->SetOptStat(1111); | |
1894 | gStyle->SetPadBorderMode(0); | |
1895 | gStyle->SetCanvasColor(10); | |
1896 | gStyle->SetPadLeftMargin(0.13); | |
1897 | gStyle->SetPadRightMargin(0.01); | |
1898 | ||
1899 | // Mode groups of pads: the total number of bins! | |
1900 | CalculNumberOfBinsExpected(i); | |
1901 | ||
1902 | // Quick verification that we have the good pad calibration mode! | |
1903 | if (fNumberOfBinsExpected != nbins) { | |
1904 | AliInfo("It doesn't correspond to the mode of pad group calibration!"); | |
1905 | return kFALSE; | |
55a288e5 | 1906 | } |
3a0f6479 | 1907 | |
1908 | // Security for fDebug 3 and 4 | |
1909 | if ((fDebugLevel >= 3) && | |
1910 | ((fDet[0] > 5) || | |
1911 | (fDet[1] > 4) || | |
1912 | (fDet[2] > 17))) { | |
1913 | AliInfo("This detector doesn't exit!"); | |
1914 | return kFALSE; | |
55a288e5 | 1915 | } |
1916 | ||
3a0f6479 | 1917 | // Determine fDet1 and fDet2 and set the fNfragZ and fNfragRphi for debug 3 and 4 |
1918 | CalculDect1Dect2(i); | |
55a288e5 | 1919 | |
3a0f6479 | 1920 | |
1921 | return kTRUE; | |
55a288e5 | 1922 | } |
3a0f6479 | 1923 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
1924 | Bool_t AliTRDCalibraFit::InitFitCH() | |
55a288e5 | 1925 | { |
1926 | // | |
3a0f6479 | 1927 | // Init the fVectorFitCH for normalisation |
1928 | // Init the histo for debugging | |
55a288e5 | 1929 | // |
1930 | ||
3a0f6479 | 1931 | gDirectory = gROOT; |
1932 | ||
1933 | fScaleFitFactor = 0.0; | |
1934 | fCurrentCoefDetector = new Float_t[2304]; | |
1935 | for (Int_t k = 0; k < 2304; k++) { | |
1936 | fCurrentCoefDetector[k] = 0.0; | |
1937 | } | |
1938 | fVectorFit.SetName("gainfactorscoefficients"); | |
55a288e5 | 1939 | |
3a0f6479 | 1940 | // fDebug == 0 nothing |
1941 | // fDebug == 1 and fFitVoir no histo | |
1942 | if (fDebugLevel == 1) { | |
1943 | if(!CheckFitVoir()) return kFALSE; | |
1944 | } | |
1945 | //Get the CalDet object | |
1946 | if(fAccCDB){ | |
1947 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
1948 | if (!cal) { | |
1949 | AliInfo("Could not get calibDB"); | |
1950 | return kFALSE; | |
55a288e5 | 1951 | } |
3a0f6479 | 1952 | if(fCalDet) delete fCalDet; |
1953 | fCalDet = new AliTRDCalDet(*(cal->GetGainFactorDet())); | |
55a288e5 | 1954 | } |
3a0f6479 | 1955 | else{ |
1956 | Float_t devalue = 1.0; | |
1957 | if(fCalDet) delete fCalDet; | |
1958 | fCalDet = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); | |
1959 | for(Int_t k = 0; k < 540; k++){ | |
1960 | fCalDet->SetValue(k,devalue); | |
55a288e5 | 1961 | } |
1962 | } | |
3a0f6479 | 1963 | return kTRUE; |
1964 | ||
55a288e5 | 1965 | } |
3a0f6479 | 1966 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
1967 | Bool_t AliTRDCalibraFit::InitFitPH() | |
55a288e5 | 1968 | { |
1969 | // | |
3a0f6479 | 1970 | // Init the arrays of results |
1971 | // Init the histos for debugging | |
55a288e5 | 1972 | // |
55a288e5 | 1973 | |
3a0f6479 | 1974 | gDirectory = gROOT; |
1975 | fVectorFit.SetName("driftvelocitycoefficients"); | |
1976 | fVectorFit2.SetName("t0coefficients"); | |
55a288e5 | 1977 | |
3a0f6479 | 1978 | fCurrentCoefDetector = new Float_t[2304]; |
1979 | for (Int_t k = 0; k < 2304; k++) { | |
1980 | fCurrentCoefDetector[k] = 0.0; | |
1981 | } | |
1982 | ||
1983 | fCurrentCoefDetector2 = new Float_t[2304]; | |
1984 | for (Int_t k = 0; k < 2304; k++) { | |
1985 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 1986 | } |
1987 | ||
3a0f6479 | 1988 | //fDebug == 0 nothing |
1989 | // fDebug == 1 and fFitVoir no histo | |
1990 | if (fDebugLevel == 1) { | |
1991 | if(!CheckFitVoir()) return kFALSE; | |
1992 | } | |
1993 | //Get the CalDet object | |
1994 | if(fAccCDB){ | |
1995 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
1996 | if (!cal) { | |
1997 | AliInfo("Could not get calibDB"); | |
1998 | return kFALSE; | |
1999 | } | |
2000 | if(fCalDet) delete fCalDet; | |
2001 | if(fCalDet2) delete fCalDet2; | |
2002 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2003 | fCalDet2 = new AliTRDCalDet(*(cal->GetT0Det())); | |
2004 | } | |
2005 | else{ | |
2006 | Float_t devalue = 1.5; | |
2007 | Float_t devalue2 = 0.0; | |
2008 | if(fCalDet) delete fCalDet; | |
2009 | if(fCalDet2) delete fCalDet2; | |
2010 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2011 | fCalDet2 = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
2012 | for(Int_t k = 0; k < 540; k++){ | |
2013 | fCalDet->SetValue(k,devalue); | |
2014 | fCalDet2->SetValue(k,devalue2); | |
2015 | } | |
2016 | } | |
2017 | return kTRUE; | |
55a288e5 | 2018 | } |
3a0f6479 | 2019 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2020 | Bool_t AliTRDCalibraFit::InitFitPRF() | |
55a288e5 | 2021 | { |
2022 | // | |
3a0f6479 | 2023 | // Init the calibration mode (Nz, Nrphi), the histograms for |
2024 | // debugging the fit methods if fDebug > 0, | |
2025 | // | |
2026 | ||
2027 | gDirectory = gROOT; | |
2028 | fVectorFit.SetName("prfwidthcoefficients"); | |
2029 | ||
2030 | fCurrentCoefDetector = new Float_t[2304]; | |
2031 | for (Int_t k = 0; k < 2304; k++) { | |
2032 | fCurrentCoefDetector[k] = 0.0; | |
55a288e5 | 2033 | } |
2034 | ||
3a0f6479 | 2035 | // fDebug == 0 nothing |
2036 | // fDebug == 1 and fFitVoir no histo | |
2037 | if (fDebugLevel == 1) { | |
2038 | if(!CheckFitVoir()) return kFALSE; | |
2039 | } | |
2040 | return kTRUE; | |
55a288e5 | 2041 | } |
3a0f6479 | 2042 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2043 | Bool_t AliTRDCalibraFit::InitFitLinearFitter() | |
55a288e5 | 2044 | { |
2045 | // | |
3a0f6479 | 2046 | // Init the fCalDet, fVectorFit fCurrentCoefDetector |
55a288e5 | 2047 | // |
3a0f6479 | 2048 | |
2049 | gDirectory = gROOT; | |
2050 | ||
2051 | fCurrentCoefDetector = new Float_t[2304]; | |
2052 | fCurrentCoefDetector2 = new Float_t[2304]; | |
2053 | for (Int_t k = 0; k < 2304; k++) { | |
2054 | fCurrentCoefDetector[k] = 0.0; | |
2055 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2056 | } |
2057 | ||
3a0f6479 | 2058 | //printf("test0\n"); |
2059 | ||
2060 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2061 | if (!cal) { | |
2062 | AliInfo("Could not get calibDB"); | |
2063 | return kFALSE; | |
55a288e5 | 2064 | } |
2065 | ||
3a0f6479 | 2066 | //Get the CalDet object |
2067 | if(fAccCDB){ | |
2068 | if(fCalDet) delete fCalDet; | |
2069 | if(fCalDet2) delete fCalDet2; | |
2070 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2071 | //printf("test1\n"); | |
2072 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2073 | //printf("test2\n"); | |
2074 | for(Int_t k = 0; k < 540; k++){ | |
2075 | fCalDet2->SetValue(k,cal->GetOmegaTau(fCalDet->GetValue(k),-fMagneticField)); | |
2076 | } | |
2077 | //printf("test3\n"); | |
2078 | } | |
2079 | else{ | |
2080 | Float_t devalue = 1.5; | |
2081 | Float_t devalue2 = cal->GetOmegaTau(1.5,-fMagneticField); | |
2082 | if(fCalDet) delete fCalDet; | |
2083 | if(fCalDet2) delete fCalDet2; | |
2084 | //printf("test1\n"); | |
2085 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2086 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2087 | //printf("test2\n"); | |
2088 | for(Int_t k = 0; k < 540; k++){ | |
2089 | fCalDet->SetValue(k,devalue); | |
2090 | fCalDet2->SetValue(k,devalue2); | |
2091 | } | |
2092 | //printf("test3\n"); | |
2093 | } | |
55a288e5 | 2094 | return kTRUE; |
55a288e5 | 2095 | } |
2096 | ||
2097 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3a0f6479 | 2098 | void AliTRDCalibraFit::InitfCountDetAndfCount(Int_t i) |
55a288e5 | 2099 | { |
2100 | // | |
3a0f6479 | 2101 | // Init the current detector where we are fCountDet and the |
2102 | // next fCount for the functions Fit... | |
55a288e5 | 2103 | // |
2104 | ||
3a0f6479 | 2105 | // Loop on the Xbins of ch!! |
2106 | fCountDet = -1; // Current detector | |
2107 | fCount = 0; // To find the next detector | |
2108 | ||
2109 | // If fDebug >= 3 | |
2110 | if (fDebugLevel >= 3) { | |
2111 | // Set countdet to the detector | |
2112 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2113 | // Set counter to write at the end of the detector | |
2114 | fCount = fDect2; | |
2115 | // Get the right calib objects | |
2116 | SetCalROC(i); | |
2117 | } | |
2118 | if(fDebugLevel == 1) { | |
2119 | fCountDet = 0; | |
2120 | fCalibraMode->CalculXBins(fCountDet,i); | |
2121 | while(fCalibraMode->GetXbins(i) <=fFitVoir){ | |
2122 | fCountDet++; | |
2123 | fCalibraMode->CalculXBins(fCountDet,i); | |
2124 | } | |
2125 | fCount = fCalibraMode->GetXbins(i); | |
2126 | fCountDet--; | |
2127 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2128 | fCalibraMode->ModePadCalibration((Int_t) GetChamber(fCountDet),i); | |
2129 | fCalibraMode->ModePadFragmentation((Int_t) GetPlane(fCountDet) | |
2130 | ,(Int_t) GetChamber(fCountDet) | |
2131 | ,(Int_t) GetSector(fCountDet),i); | |
2132 | } | |
2133 | } | |
2134 | //_______________________________________________________________________________ | |
2135 | void AliTRDCalibraFit::CalculNumberOfBinsExpected(Int_t i) | |
2136 | { | |
2137 | // | |
2138 | // Calculate the number of bins expected (calibration groups) | |
2139 | // | |
2140 | ||
2141 | fNumberOfBinsExpected = 0; | |
55a288e5 | 2142 | fCalibraMode->ModePadCalibration(2,i); |
2143 | fCalibraMode->ModePadFragmentation(0,2,0,i); | |
2144 | fCalibraMode->SetDetChamb2(i); | |
3a0f6479 | 2145 | if (fDebugLevel > 1) { |
55a288e5 | 2146 | AliInfo(Form("For the chamber 2: %d",fCalibraMode->GetDetChamb2(i))); |
2147 | } | |
3a0f6479 | 2148 | fNumberOfBinsExpected += 6 * 18 * fCalibraMode->GetDetChamb2(i); |
55a288e5 | 2149 | fCalibraMode->ModePadCalibration(0,i); |
2150 | fCalibraMode->ModePadFragmentation(0,0,0,i); | |
2151 | fCalibraMode->SetDetChamb0(i); | |
3a0f6479 | 2152 | if (fDebugLevel > 1) { |
55a288e5 | 2153 | AliInfo(Form("For the other chamber 0: %d",fCalibraMode->GetDetChamb0(i))); |
2154 | } | |
3a0f6479 | 2155 | fNumberOfBinsExpected += 6 * 4 * 18 * fCalibraMode->GetDetChamb0(i); |
2156 | ||
2157 | } | |
2158 | //_______________________________________________________________________________ | |
2159 | void AliTRDCalibraFit::CalculDect1Dect2(Int_t i) | |
2160 | { | |
2161 | // | |
2162 | // Calculate the range of fits | |
2163 | // | |
55a288e5 | 2164 | |
3a0f6479 | 2165 | fDect1 = -1; |
2166 | fDect2 = -1; | |
2167 | if (fDebugLevel == 1) { | |
2168 | fDect1 = fFitVoir; | |
2169 | fDect2 = fDect1 +1; | |
55a288e5 | 2170 | } |
3a0f6479 | 2171 | if ((fDebugLevel == 2) || (fDebugLevel == 0)) { |
2172 | fDect1 = 0; | |
2173 | fDect2 = fNumberOfBinsExpected; | |
55a288e5 | 2174 | } |
3a0f6479 | 2175 | if (fDebugLevel >= 3) { |
2176 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2177 | fCalibraMode->CalculXBins(fCountDet,i); | |
2178 | fDect1 = fCalibraMode->GetXbins(i); | |
2179 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2180 | fCalibraMode->ModePadCalibration((Int_t) GetChamber(fCountDet),i); | |
2181 | fCalibraMode->ModePadFragmentation((Int_t) GetPlane(fCountDet) | |
2182 | ,(Int_t) GetChamber(fCountDet) | |
2183 | ,(Int_t) GetSector(fCountDet),i); | |
2184 | // Set for the next detector | |
2185 | fDect2 = fDect1 + fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
55a288e5 | 2186 | } |
55a288e5 | 2187 | } |
3a0f6479 | 2188 | //_______________________________________________________________________________ |
2189 | Bool_t AliTRDCalibraFit::CheckFitVoir() | |
55a288e5 | 2190 | { |
2191 | // | |
3a0f6479 | 2192 | // Check if fFitVoir is in the range |
55a288e5 | 2193 | // |
2194 | ||
3a0f6479 | 2195 | if (fFitVoir < fNumberOfBinsExpected) { |
2196 | AliInfo(Form("We will see the fit of the object %d",fFitVoir)); | |
55a288e5 | 2197 | } |
3a0f6479 | 2198 | else { |
2199 | AliInfo("fFitVoir is out of range of the histo!"); | |
2200 | return kFALSE; | |
2201 | } | |
2202 | return kTRUE; | |
55a288e5 | 2203 | } |
55a288e5 | 2204 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2205 | void AliTRDCalibraFit::UpdatefCountDetAndfCount(Int_t idect, Int_t i) | |
2206 | { | |
2207 | // | |
2208 | // See if we are in a new detector and update the | |
2209 | // variables fNfragZ and fNfragRphi if yes | |
3a0f6479 | 2210 | // Will never happen for only one detector (3 and 4) |
2211 | // Doesn't matter for 2 | |
2212 | // | |
2213 | if (fCount == idect) { | |
2214 | // On en est au detector | |
2215 | fCountDet += 1; | |
2216 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2217 | fCalibraMode->ModePadCalibration((Int_t) GetChamber(fCountDet),i); | |
2218 | fCalibraMode->ModePadFragmentation((Int_t) GetPlane(fCountDet) | |
2219 | ,(Int_t) GetChamber(fCountDet) | |
2220 | ,(Int_t) GetSector(fCountDet),i); | |
2221 | // Set for the next detector | |
2222 | fCount += fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
2223 | // calib objects | |
2224 | SetCalROC(i); | |
55a288e5 | 2225 | } |
55a288e5 | 2226 | } |
55a288e5 | 2227 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2228 | void AliTRDCalibraFit::ReconstructFitRowMinRowMax(Int_t idect, Int_t i) | |
2229 | { | |
2230 | // | |
2231 | // Reconstruct the min pad row, max pad row, min pad col and | |
2232 | // max pad col of the calibration group for the Fit functions | |
2233 | // | |
3a0f6479 | 2234 | if (fDebugLevel != 1) { |
2235 | fCalibraMode->ReconstructionRowPadGroup((Int_t) (idect-(fCount-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i)))),i); | |
55a288e5 | 2236 | } |
55a288e5 | 2237 | } |
55a288e5 | 2238 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3a0f6479 | 2239 | Bool_t AliTRDCalibraFit::NotEnoughStatisticCH(Int_t idect) |
55a288e5 | 2240 | { |
2241 | // | |
2242 | // For the case where there are not enough entries in the histograms | |
3a0f6479 | 2243 | // of the calibration group, the value present in the choosen database |
2244 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2245 | // | |
2246 | ||
2247 | if (fDebugLevel == 1) { | |
2248 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 2249 | } |
3a0f6479 | 2250 | |
2251 | else { | |
55a288e5 | 2252 | |
3a0f6479 | 2253 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
2254 | ,idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0))),fCountDet)); | |
2255 | ||
2256 | // Calcul the coef from the database choosen | |
2257 | CalculChargeCoefMean(kFALSE); | |
55a288e5 | 2258 | |
3a0f6479 | 2259 | //chamber 2, not chamber 2 |
2260 | Int_t factor = 0; | |
2261 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2262 | else factor = 16; | |
55a288e5 | 2263 | |
3a0f6479 | 2264 | // Fill the fCurrentCoefDetector with negative value to say: not fitted |
2265 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
2266 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
2267 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 2268 | } |
2269 | } | |
3a0f6479 | 2270 | |
2271 | //Put default value negative | |
2272 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2273 | fCurrentCoefE = 0.0; | |
2274 | ||
2275 | FillFillCH(idect); | |
2276 | } | |
2277 | ||
2278 | return kTRUE; | |
55a288e5 | 2279 | } |
2280 | ||
3a0f6479 | 2281 | |
2282 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2283 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPH(Int_t idect) | |
55a288e5 | 2284 | { |
2285 | // | |
3a0f6479 | 2286 | // For the case where there are not enough entries in the histograms |
2287 | // of the calibration group, the value present in the choosen database | |
2288 | // will be put. A negativ sign enables to know that a fit was not possible. | |
55a288e5 | 2289 | // |
3a0f6479 | 2290 | if (fDebugLevel == 1) { |
2291 | AliInfo("The element has not enough statistic to be fitted"); | |
2292 | } | |
2293 | else { | |
55a288e5 | 2294 | |
3a0f6479 | 2295 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
2296 | ,idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1))),fCountDet)); | |
55a288e5 | 2297 | |
3a0f6479 | 2298 | CalculVdriftCoefMean(); |
2299 | CalculT0CoefMean(); | |
55a288e5 | 2300 | |
3a0f6479 | 2301 | //chamber 2 and not chamber 2 |
2302 | Int_t factor = 0; | |
2303 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2304 | else factor = 16; | |
55a288e5 | 2305 | |
55a288e5 | 2306 | |
3a0f6479 | 2307 | // Fill the fCurrentCoefDetector 2 |
2308 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
2309 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
2310 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
2311 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[1]; | |
55a288e5 | 2312 | } |
2313 | } | |
55a288e5 | 2314 | |
3a0f6479 | 2315 | // Put the default value |
2316 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2317 | fCurrentCoefE = 0.0; | |
2318 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
2319 | fCurrentCoefE2 = 0.0; | |
2320 | ||
2321 | FillFillPH(idect); | |
2322 | ||
2323 | } | |
55a288e5 | 2324 | |
3a0f6479 | 2325 | return kTRUE; |
55a288e5 | 2326 | |
3a0f6479 | 2327 | } |
2328 | ||
2329 | ||
2330 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2331 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPRF(Int_t idect) | |
2332 | { | |
2333 | // | |
2334 | // For the case where there are not enough entries in the histograms | |
2335 | // of the calibration group, the value present in the choosen database | |
2336 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2337 | // | |
55a288e5 | 2338 | |
3a0f6479 | 2339 | if (fDebugLevel == 1) { |
2340 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 2341 | } |
3a0f6479 | 2342 | else { |
2343 | ||
2344 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" | |
2345 | ,idect-(fCount-(fCalibraMode->GetNfragZ(2)*fCalibraMode->GetNfragRphi(2))),fCountDet)); | |
2346 | ||
2347 | CalculPRFCoefMean(); | |
2348 | ||
2349 | // chamber 2 and not chamber 2 | |
2350 | Int_t factor = 0; | |
2351 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2352 | else factor = 16; | |
55a288e5 | 2353 | |
55a288e5 | 2354 | |
3a0f6479 | 2355 | // Fill the fCurrentCoefDetector |
2356 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
2357 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
2358 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -fCurrentCoef[1]; | |
55a288e5 | 2359 | } |
2360 | } | |
55a288e5 | 2361 | |
3a0f6479 | 2362 | // Put the default value |
2363 | fCurrentCoef[0] = -fCurrentCoef[1]; | |
2364 | fCurrentCoefE = 0.0; | |
2365 | ||
2366 | FillFillPRF(idect); | |
2367 | } | |
2368 | ||
2369 | return kTRUE; | |
55a288e5 | 2370 | |
3a0f6479 | 2371 | } |
2372 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2373 | Bool_t AliTRDCalibraFit::NotEnoughStatisticLinearFitter() | |
55a288e5 | 2374 | { |
2375 | // | |
3a0f6479 | 2376 | // For the case where there are not enough entries in the histograms |
2377 | // of the calibration group, the value present in the choosen database | |
2378 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2379 | // | |
2380 | ||
2381 | // Calcul the coef from the database choosen | |
2382 | CalculVdriftLorentzCoef(); | |
2383 | ||
2384 | Int_t factor = 0; | |
2385 | if(GetChamber(fCountDet) == 2) factor = 1728; | |
2386 | else factor = 2304; | |
2387 | ||
2388 | ||
2389 | // Fill the fCurrentCoefDetector | |
2390 | for (Int_t k = 0; k < factor; k++) { | |
2391 | fCurrentCoefDetector[k] = -TMath::Abs(fCurrentCoef[1]); | |
2392 | // should be negative | |
2393 | fCurrentCoefDetector2[k] = +TMath::Abs(fCurrentCoef2[1]); | |
55a288e5 | 2394 | } |
3a0f6479 | 2395 | |
2396 | ||
2397 | //Put default opposite sign | |
2398 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2399 | fCurrentCoefE = 0.0; | |
2400 | fCurrentCoef2[0] = +TMath::Abs(fCurrentCoef2[1]); | |
2401 | fCurrentCoefE2 = 0.0; | |
2402 | ||
2403 | FillFillLinearFitter(); | |
2404 | ||
2405 | return kTRUE; | |
55a288e5 | 2406 | } |
2407 | ||
3a0f6479 | 2408 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2409 | Bool_t AliTRDCalibraFit::FillInfosFitCH(Int_t idect) | |
55a288e5 | 2410 | { |
2411 | // | |
3a0f6479 | 2412 | // Fill the coefficients found with the fits or other |
2413 | // methods from the Fit functions | |
2414 | // | |
2415 | ||
2416 | if (fDebugLevel != 1) { | |
2417 | ||
2418 | Int_t factor = 0; | |
2419 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2420 | else factor = 16; | |
2421 | ||
2422 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
2423 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
2424 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
2425 | } | |
55a288e5 | 2426 | } |
3a0f6479 | 2427 | |
2428 | FillFillCH(idect); | |
2429 | ||
55a288e5 | 2430 | } |
55a288e5 | 2431 | |
3a0f6479 | 2432 | return kTRUE; |
2433 | ||
2434 | } | |
2435 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2436 | Bool_t AliTRDCalibraFit::FillInfosFitPH(Int_t idect) | |
55a288e5 | 2437 | { |
2438 | // | |
3a0f6479 | 2439 | // Fill the coefficients found with the fits or other |
2440 | // methods from the Fit functions | |
2441 | // | |
2442 | ||
2443 | if (fDebugLevel != 1) { | |
2444 | ||
2445 | Int_t factor = 0; | |
2446 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2447 | else factor = 16; | |
2448 | ||
2449 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
2450 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
2451 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
2452 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[0]; | |
2453 | } | |
2454 | } | |
2455 | FillFillPH(idect); | |
55a288e5 | 2456 | } |
3a0f6479 | 2457 | return kTRUE; |
55a288e5 | 2458 | } |
3a0f6479 | 2459 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2460 | Bool_t AliTRDCalibraFit::FillInfosFitPRF(Int_t idect) | |
55a288e5 | 2461 | { |
2462 | // | |
3a0f6479 | 2463 | // Fill the coefficients found with the fits or other |
2464 | // methods from the Fit functions | |
55a288e5 | 2465 | // |
3a0f6479 | 2466 | |
2467 | if (fDebugLevel != 1) { | |
55a288e5 | 2468 | |
3a0f6479 | 2469 | Int_t factor = 0; |
2470 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2471 | else factor = 16; | |
2472 | ||
2473 | // Pointer to the branch | |
2474 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
2475 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
2476 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
2477 | } | |
55a288e5 | 2478 | } |
3a0f6479 | 2479 | FillFillPRF(idect); |
55a288e5 | 2480 | } |
55a288e5 | 2481 | |
3a0f6479 | 2482 | return kTRUE; |
55a288e5 | 2483 | |
3a0f6479 | 2484 | } |
2485 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2486 | Bool_t AliTRDCalibraFit::FillInfosFitLinearFitter() | |
55a288e5 | 2487 | { |
2488 | // | |
3a0f6479 | 2489 | // Fill the coefficients found with the fits or other |
2490 | // methods from the Fit functions | |
55a288e5 | 2491 | // |
3a0f6479 | 2492 | |
2493 | Int_t factor = 0; | |
2494 | if(GetChamber(fCountDet) == 2) factor = 1728; | |
2495 | else factor = 2304; | |
2496 | ||
2497 | // Pointer to the branch | |
2498 | for (Int_t k = 0; k < factor; k++) { | |
2499 | fCurrentCoefDetector[k] = fCurrentCoef[0]; | |
2500 | fCurrentCoefDetector2[k] = fCurrentCoef2[0]; | |
55a288e5 | 2501 | } |
3a0f6479 | 2502 | |
2503 | FillFillLinearFitter(); | |
2504 | ||
2505 | return kTRUE; | |
55a288e5 | 2506 | |
2507 | } | |
3a0f6479 | 2508 | //________________________________________________________________________________ |
2509 | void AliTRDCalibraFit::FillFillCH(Int_t idect) | |
55a288e5 | 2510 | { |
2511 | // | |
3a0f6479 | 2512 | // DebugStream and fVectorFit |
55a288e5 | 2513 | // |
2514 | ||
3a0f6479 | 2515 | // End of one detector |
2516 | if ((idect == (fCount-1))) { | |
2517 | FillVectorFit(); | |
2518 | // Reset | |
2519 | for (Int_t k = 0; k < 2304; k++) { | |
2520 | fCurrentCoefDetector[k] = 0.0; | |
2521 | } | |
55a288e5 | 2522 | } |
2523 | ||
3a0f6479 | 2524 | if(fDebugLevel > 1){ |
55a288e5 | 2525 | |
3a0f6479 | 2526 | if ( !fDebugStreamer ) { |
2527 | //debug stream | |
2528 | TDirectory *backup = gDirectory; | |
2529 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2530 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2531 | } | |
2532 | ||
2533 | Int_t detector = fCountDet; | |
2534 | Int_t caligroup = idect; | |
2535 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
2536 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
2537 | Short_t colmin = fCalibraMode->GetColMin(0); | |
2538 | Short_t colmax = fCalibraMode->GetColMax(0); | |
2539 | Float_t gf = fCurrentCoef[0]; | |
2540 | Float_t gfs = fCurrentCoef[1]; | |
2541 | Float_t gfE = fCurrentCoefE; | |
2542 | ||
2543 | (*fDebugStreamer) << "GAIN" << | |
2544 | "detector=" << detector << | |
2545 | "caligroup=" << caligroup << | |
2546 | "rowmin=" << rowmin << | |
2547 | "rowmax=" << rowmax << | |
2548 | "colmin=" << colmin << | |
2549 | "colmax=" << colmax << | |
2550 | "gf=" << gf << | |
2551 | "gfs=" << gfs << | |
2552 | "gfE=" << gfE << | |
2553 | "\n"; | |
2554 | ||
2555 | } | |
2556 | } | |
2557 | //________________________________________________________________________________ | |
2558 | void AliTRDCalibraFit::FillFillPH(Int_t idect) | |
55a288e5 | 2559 | { |
2560 | // | |
3a0f6479 | 2561 | // DebugStream and fVectorFit and fVectorFit2 |
55a288e5 | 2562 | // |
3a0f6479 | 2563 | |
2564 | // End of one detector | |
2565 | if ((idect == (fCount-1))) { | |
2566 | FillVectorFit(); | |
2567 | FillVectorFit2(); | |
2568 | // Reset | |
2569 | for (Int_t k = 0; k < 2304; k++) { | |
2570 | fCurrentCoefDetector[k] = 0.0; | |
2571 | fCurrentCoefDetector2[k] = 0.0; | |
2572 | } | |
2573 | } | |
2574 | ||
2575 | if(fDebugLevel > 1){ | |
2576 | ||
2577 | if ( !fDebugStreamer ) { | |
2578 | //debug stream | |
2579 | TDirectory *backup = gDirectory; | |
2580 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2581 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2582 | } | |
2583 | ||
2584 | ||
2585 | Int_t detector = fCountDet; | |
2586 | Int_t caligroup = idect; | |
2587 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
2588 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
2589 | Short_t colmin = fCalibraMode->GetColMin(1); | |
2590 | Short_t colmax = fCalibraMode->GetColMax(1); | |
2591 | Float_t vf = fCurrentCoef[0]; | |
2592 | Float_t vs = fCurrentCoef[1]; | |
2593 | Float_t vfE = fCurrentCoefE; | |
2594 | Float_t t0f = fCurrentCoef2[0]; | |
2595 | Float_t t0s = fCurrentCoef2[1]; | |
2596 | Float_t t0E = fCurrentCoefE2; | |
2597 | ||
55a288e5 | 2598 | |
3a0f6479 | 2599 | |
2600 | (* fDebugStreamer) << "PH"<< | |
2601 | "detector="<<detector<< | |
2602 | "caligroup="<<caligroup<< | |
2603 | "rowmin="<<rowmin<< | |
2604 | "rowmax="<<rowmax<< | |
2605 | "colmin="<<colmin<< | |
2606 | "colmax="<<colmax<< | |
2607 | "vf="<<vf<< | |
2608 | "vs="<<vs<< | |
2609 | "vfE="<<vfE<< | |
2610 | "t0f="<<t0f<< | |
2611 | "t0s="<<t0s<< | |
2612 | "t0E="<<t0E<< | |
2613 | "\n"; | |
2614 | } | |
55a288e5 | 2615 | |
2616 | } | |
3a0f6479 | 2617 | //________________________________________________________________________________ |
2618 | void AliTRDCalibraFit::FillFillPRF(Int_t idect) | |
2619 | { | |
2620 | // | |
2621 | // DebugStream and fVectorFit | |
2622 | // | |
55a288e5 | 2623 | |
3a0f6479 | 2624 | // End of one detector |
2625 | if ((idect == (fCount-1))) { | |
2626 | FillVectorFit(); | |
2627 | // Reset | |
2628 | for (Int_t k = 0; k < 2304; k++) { | |
2629 | fCurrentCoefDetector[k] = 0.0; | |
2630 | } | |
2631 | } | |
2632 | ||
2633 | ||
2634 | if(fDebugLevel > 1){ | |
2635 | ||
2636 | if ( !fDebugStreamer ) { | |
2637 | //debug stream | |
2638 | TDirectory *backup = gDirectory; | |
2639 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2640 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2641 | } | |
2642 | ||
2643 | Int_t detector = fCountDet; | |
2644 | Int_t plane = GetPlane(fCountDet); | |
2645 | Int_t caligroup = idect; | |
2646 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
2647 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
2648 | Short_t colmin = fCalibraMode->GetColMin(2); | |
2649 | Short_t colmax = fCalibraMode->GetColMax(2); | |
2650 | Float_t widf = fCurrentCoef[0]; | |
2651 | Float_t wids = fCurrentCoef[1]; | |
2652 | Float_t widfE = fCurrentCoefE; | |
2653 | ||
2654 | (* fDebugStreamer) << "PRF"<< | |
2655 | "detector="<<detector<< | |
2656 | "plane="<<plane<< | |
2657 | "caligroup="<<caligroup<< | |
2658 | "rowmin="<<rowmin<< | |
2659 | "rowmax="<<rowmax<< | |
2660 | "colmin="<<colmin<< | |
2661 | "colmax="<<colmax<< | |
2662 | "widf="<<widf<< | |
2663 | "wids="<<wids<< | |
2664 | "widfE="<<widfE<< | |
2665 | "\n"; | |
2666 | } | |
2667 | ||
2668 | } | |
2669 | //________________________________________________________________________________ | |
2670 | void AliTRDCalibraFit::FillFillLinearFitter() | |
55a288e5 | 2671 | { |
2672 | // | |
3a0f6479 | 2673 | // DebugStream and fVectorFit |
55a288e5 | 2674 | // |
3a0f6479 | 2675 | |
2676 | // End of one detector | |
2677 | FillVectorFit(); | |
2678 | FillVectorFit2(); | |
2679 | ||
2680 | ||
2681 | // Reset | |
2682 | for (Int_t k = 0; k < 2304; k++) { | |
2683 | fCurrentCoefDetector[k] = 0.0; | |
2684 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2685 | } |
3a0f6479 | 2686 | |
55a288e5 | 2687 | |
3a0f6479 | 2688 | if(fDebugLevel > 1){ |
55a288e5 | 2689 | |
3a0f6479 | 2690 | if ( !fDebugStreamer ) { |
2691 | //debug stream | |
2692 | TDirectory *backup = gDirectory; | |
2693 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2694 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2695 | } | |
2696 | ||
2697 | //Debug: comparaison of the different methods (okey for first time but not for iterative procedure) | |
2698 | AliTRDpadPlane *padplane = fGeo->GetPadPlane(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2699 | Float_t rowmd = (padplane->GetRow0()+padplane->GetRowEnd())/2.; | |
2700 | Float_t r = AliTRDgeometry::GetTime0(GetPlane(fCountDet)); | |
2701 | Float_t tiltangle = padplane->GetTiltingAngle(); | |
2702 | Int_t detector = fCountDet; | |
2703 | Int_t chamber = GetChamber(fCountDet); | |
2704 | Int_t plane = GetChamber(fCountDet); | |
2705 | Float_t vf = fCurrentCoef[0]; | |
2706 | Float_t vs = fCurrentCoef[1]; | |
2707 | Float_t vfE = fCurrentCoefE; | |
2708 | Float_t lorentzangler = fCurrentCoef2[0]; | |
2709 | Float_t Elorentzangler = fCurrentCoefE2; | |
2710 | Float_t lorentzangles = fCurrentCoef2[1]; | |
2711 | ||
2712 | (* fDebugStreamer) << "LinearFitter"<< | |
2713 | "detector="<<detector<< | |
2714 | "chamber="<<chamber<< | |
2715 | "plane="<<plane<< | |
2716 | "rowmd="<<rowmd<< | |
2717 | "r="<<r<< | |
2718 | "tiltangle="<<tiltangle<< | |
2719 | "vf="<<vf<< | |
2720 | "vs="<<vs<< | |
2721 | "vfE="<<vfE<< | |
2722 | "lorentzangler="<<lorentzangler<< | |
2723 | "Elorentzangler="<<Elorentzangler<< | |
2724 | "lorentzangles="<<lorentzangles<< | |
2725 | "\n"; | |
2726 | } | |
2727 | ||
2728 | } | |
55a288e5 | 2729 | // |
2730 | //____________Calcul Coef Mean_________________________________________________ | |
2731 | // | |
55a288e5 | 2732 | //_____________________________________________________________________________ |
3a0f6479 | 2733 | Bool_t AliTRDCalibraFit::CalculT0CoefMean() |
55a288e5 | 2734 | { |
2735 | // | |
2736 | // For the detector Dect calcul the mean time 0 | |
2737 | // for the calibration group idect from the choosen database | |
2738 | // | |
2739 | ||
3a0f6479 | 2740 | fCurrentCoef2[1] = 0.0; |
2741 | if(fDebugLevel != 1){ | |
2742 | if((fCalibraMode->GetNz(1) > 0) || | |
2743 | (fCalibraMode->GetNrphi(1) > 0)) { | |
2744 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { | |
2745 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
2746 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); | |
55a288e5 | 2747 | } |
3a0f6479 | 2748 | } |
2749 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); | |
2750 | } | |
2751 | else { | |
2752 | if(!fAccCDB){ | |
2753 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
2754 | } | |
2755 | else{ | |
2756 | for(Int_t row = 0; row < fGeo->GetRowMax(GetPlane(fCountDet),GetChamber(fCountDet),GetSector(fCountDet)); row++){ | |
2757 | for(Int_t col = 0; col < fGeo->GetColMax(GetPlane(fCountDet)); col++){ | |
2758 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); | |
2759 | } | |
55a288e5 | 2760 | } |
3a0f6479 | 2761 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fGeo->GetRowMax(GetPlane(fCountDet),GetChamber(fCountDet),GetSector(fCountDet)))*(fGeo->GetColMax(GetPlane(fCountDet)))); |
55a288e5 | 2762 | } |
2763 | } | |
55a288e5 | 2764 | } |
55a288e5 | 2765 | return kTRUE; |
55a288e5 | 2766 | } |
2767 | ||
2768 | //_____________________________________________________________________________ | |
3a0f6479 | 2769 | Bool_t AliTRDCalibraFit::CalculChargeCoefMean(Bool_t vrai) |
55a288e5 | 2770 | { |
2771 | // | |
2772 | // For the detector Dect calcul the mean gain factor | |
2773 | // for the calibration group idect from the choosen database | |
2774 | // | |
2775 | ||
3a0f6479 | 2776 | fCurrentCoef[1] = 0.0; |
2777 | if(fDebugLevel != 1){ | |
2778 | if ((fCalibraMode->GetNz(0) > 0) || | |
2779 | (fCalibraMode->GetNrphi(0) > 0)) { | |
2780 | for (Int_t row = fCalibraMode->GetRowMin(0); row < fCalibraMode->GetRowMax(0); row++) { | |
2781 | for (Int_t col = fCalibraMode->GetColMin(0); col < fCalibraMode->GetColMax(0); col++) { | |
2782 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
2783 | if (vrai) fScaleFitFactor += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 2784 | } |
2785 | } | |
3a0f6479 | 2786 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0))); |
55a288e5 | 2787 | } |
3a0f6479 | 2788 | else { |
2789 | //Per detectors | |
2790 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
2791 | if (vrai) fScaleFitFactor += ((Float_t) fCalDet->GetValue(fCountDet))*(fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0)); | |
2792 | } | |
55a288e5 | 2793 | } |
55a288e5 | 2794 | return kTRUE; |
55a288e5 | 2795 | } |
55a288e5 | 2796 | //_____________________________________________________________________________ |
3a0f6479 | 2797 | Bool_t AliTRDCalibraFit::CalculPRFCoefMean() |
55a288e5 | 2798 | { |
2799 | // | |
2800 | // For the detector Dect calcul the mean sigma of pad response | |
2801 | // function for the calibration group idect from the choosen database | |
2802 | // | |
3a0f6479 | 2803 | |
2804 | fCurrentCoef[1] = 0.0; | |
2805 | if(fDebugLevel != 1){ | |
55a288e5 | 2806 | for (Int_t row = fCalibraMode->GetRowMin(2); row < fCalibraMode->GetRowMax(2); row++) { |
2807 | for (Int_t col = fCalibraMode->GetColMin(2); col < fCalibraMode->GetColMax(2); col++) { | |
3a0f6479 | 2808 | fCurrentCoef[1] += (Float_t) fCalROC->GetValue(col,row); |
55a288e5 | 2809 | } |
2810 | } | |
3a0f6479 | 2811 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(2)-fCalibraMode->GetColMin(2))*(fCalibraMode->GetRowMax(2)-fCalibraMode->GetRowMin(2))); |
55a288e5 | 2812 | } |
55a288e5 | 2813 | return kTRUE; |
55a288e5 | 2814 | } |
55a288e5 | 2815 | //_____________________________________________________________________________ |
3a0f6479 | 2816 | Bool_t AliTRDCalibraFit::CalculVdriftCoefMean() |
55a288e5 | 2817 | { |
2818 | // | |
2819 | // For the detector dect calcul the mean drift velocity for the | |
2820 | // calibration group idect from the choosen database | |
2821 | // | |
2822 | ||
3a0f6479 | 2823 | fCurrentCoef[1] = 0.0; |
2824 | if(fDebugLevel != 1){ | |
2825 | if ((fCalibraMode->GetNz(1) > 0) || | |
2826 | (fCalibraMode->GetNrphi(1) > 0)) { | |
2827 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { | |
2828 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
2829 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 2830 | } |
2831 | } | |
3a0f6479 | 2832 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); |
55a288e5 | 2833 | } |
3a0f6479 | 2834 | else { |
2835 | //per detectors | |
2836 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
2837 | } | |
55a288e5 | 2838 | } |
55a288e5 | 2839 | return kTRUE; |
55a288e5 | 2840 | } |
3a0f6479 | 2841 | //_____________________________________________________________________________ |
2842 | Bool_t AliTRDCalibraFit::CalculVdriftLorentzCoef() | |
2843 | { | |
2844 | // | |
2845 | // For the detector fCountDet, mean drift velocity and tan lorentzangle | |
2846 | // | |
2847 | ||
2848 | fCurrentCoef[1] = fCalDet->GetValue(fCountDet); | |
2849 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
55a288e5 | 2850 | |
3a0f6479 | 2851 | return kTRUE; |
2852 | } | |
55a288e5 | 2853 | //_____________________________________________________________________________ |
2854 | Float_t AliTRDCalibraFit::GetPRFDefault(Int_t plane) const | |
2855 | { | |
2856 | // | |
2857 | // Default width of the PRF if there is no database as reference | |
2858 | // | |
3a0f6479 | 2859 | switch(plane) |
2860 | { | |
2861 | // default database | |
2862 | //case 0: return 0.515; | |
2863 | //case 1: return 0.502; | |
2864 | //case 2: return 0.491; | |
2865 | //case 3: return 0.481; | |
2866 | //case 4: return 0.471; | |
2867 | //case 5: return 0.463; | |
2868 | //default: return 0.0; | |
2869 | ||
2870 | // fit database | |
2871 | case 0: return 0.538429; | |
2872 | case 1: return 0.524302; | |
2873 | case 2: return 0.511591; | |
2874 | case 3: return 0.500140; | |
2875 | case 4: return 0.489821; | |
2876 | case 5: return 0.480524; | |
2877 | default: return 0.0; | |
55a288e5 | 2878 | } |
3a0f6479 | 2879 | } |
2880 | //________________________________________________________________________________ | |
2881 | void AliTRDCalibraFit::SetCalROC(Int_t i) | |
2882 | { | |
2883 | // | |
2884 | // Set the calib object for fCountDet | |
2885 | // | |
2886 | ||
2887 | Float_t value = 0.0; | |
2888 | ||
2889 | //Get the CalDet object | |
2890 | if(fAccCDB){ | |
2891 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2892 | if (!cal) { | |
2893 | AliInfo("Could not get calibDB"); | |
2894 | return; | |
2895 | } | |
2896 | switch (i) | |
2897 | { | |
2898 | case 0: | |
2899 | if(fCalROC) delete fCalROC; | |
2900 | fCalROC = new AliTRDCalROC(*(cal->GetGainFactorROC(fCountDet))); | |
2901 | break; | |
2902 | case 1: | |
2903 | if(fCalROC) delete fCalROC; | |
2904 | if(fCalROC2) delete fCalROC2; | |
2905 | fCalROC = new AliTRDCalROC(*(cal->GetVdriftROC(fCountDet))); | |
2906 | fCalROC2 = new AliTRDCalROC(*(cal->GetT0ROC(fCountDet))); | |
2907 | break; | |
2908 | case 2: | |
2909 | if(fCalROC) delete fCalROC; | |
2910 | fCalROC = new AliTRDCalROC(*(cal->GetPRFROC(fCountDet))); break; | |
2911 | default: return; | |
2912 | } | |
55a288e5 | 2913 | } |
3a0f6479 | 2914 | else{ |
2915 | switch (i) | |
2916 | { | |
2917 | case 0: | |
2918 | if(fCalROC) delete fCalROC; | |
2919 | fCalROC = new AliTRDCalROC(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2920 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ | |
2921 | fCalROC->SetValue(k,1.0); | |
2922 | } | |
2923 | break; | |
2924 | case 1: | |
2925 | if(fCalROC) delete fCalROC; | |
2926 | if(fCalROC2) delete fCalROC2; | |
2927 | fCalROC = new AliTRDCalROC(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2928 | fCalROC2 = new AliTRDCalROC(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2929 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ | |
2930 | fCalROC->SetValue(k,1.0); | |
2931 | fCalROC2->SetValue(k,0.0); | |
2932 | } | |
2933 | break; | |
2934 | case 2: | |
2935 | if(fCalROC) delete fCalROC; | |
2936 | value = GetPRFDefault(GetPlane(fCountDet)); | |
2937 | fCalROC = new AliTRDCalROC(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2938 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ | |
2939 | fCalROC->SetValue(k,value); | |
2940 | } | |
2941 | break; | |
2942 | default: return; | |
2943 | } | |
55a288e5 | 2944 | } |
2945 | ||
2946 | } | |
55a288e5 | 2947 | //____________Fit Methods______________________________________________________ |
2948 | ||
2949 | //_____________________________________________________________________________ | |
3a0f6479 | 2950 | void AliTRDCalibraFit::FitPente(TH1* projPH) |
55a288e5 | 2951 | { |
2952 | // | |
2953 | // Slope methode for the drift velocity | |
2954 | // | |
2955 | ||
2956 | // Constants | |
2957 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 2958 | Int_t binmax = 0; |
2959 | Int_t binmin = 0; | |
2960 | fPhd[0] = 0.0; | |
2961 | fPhd[1] = 0.0; | |
2962 | fPhd[2] = 0.0; | |
2963 | Int_t ju = 0; | |
2964 | fCurrentCoefE = 0.0; | |
2965 | fCurrentCoefE2 = 0.0; | |
2966 | fCurrentCoef[0] = 0.0; | |
2967 | fCurrentCoef2[0] = 0.0; | |
2968 | TLine *line = new TLine(); | |
55a288e5 | 2969 | |
2970 | // Some variables | |
2971 | TAxis *xpph = projPH->GetXaxis(); | |
2972 | Int_t nbins = xpph->GetNbins(); | |
2973 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
2974 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
2975 | Double_t widbins = (upedge - lowedge) / nbins; | |
2976 | Double_t limit = upedge + 0.5 * widbins; | |
2977 | Bool_t put = kTRUE; | |
2978 | ||
2979 | // Beginning of the signal | |
2980 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
2981 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
2982 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
2983 | } | |
55a288e5 | 2984 | binmax = (Int_t) pentea->GetMaximumBin(); |
55a288e5 | 2985 | if (binmax <= 1) { |
2986 | binmax = 2; | |
2987 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
2988 | } | |
2989 | if (binmax >= nbins) { | |
2990 | binmax = nbins-1; | |
2991 | put = kFALSE; | |
2992 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
2993 | } | |
2994 | pentea->Fit("pol2","0MR","",TMath::Max(pentea->GetBinCenter(binmax-1),0.0),pentea->GetBinCenter(binmax+1)); | |
2995 | Float_t l3P1am = pentea->GetFunction("pol2")->GetParameter(1); | |
2996 | Float_t l3P2am = pentea->GetFunction("pol2")->GetParameter(2); | |
2997 | Float_t l3P1amE = pentea->GetFunction("pol2")->GetParError(1); | |
2998 | Float_t l3P2amE = pentea->GetFunction("pol2")->GetParError(2); | |
2999 | if (l3P2am != 0) { | |
3000 | fPhd[0] = -(l3P1am / (2 * l3P2am)); | |
3001 | } | |
3002 | if(!fTakeTheMaxPH){ | |
3003 | if((l3P1am != 0.0) && (l3P2am != 0.0)){ | |
3a0f6479 | 3004 | fCurrentCoefE2 = (l3P1amE/l3P1am + l3P2amE/l3P2am)*fPhd[0]; |
55a288e5 | 3005 | } |
3006 | } | |
55a288e5 | 3007 | // Amplification region |
3008 | binmax = 0; | |
3009 | ju = 0; | |
3010 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 3011 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 3012 | binmax = kbin; |
3013 | ju = 1; | |
3014 | } | |
3015 | } | |
55a288e5 | 3016 | if (binmax <= 1) { |
3017 | binmax = 2; | |
3018 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
3019 | } | |
3020 | if (binmax >= nbins) { | |
3021 | binmax = nbins-1; | |
3022 | put = kFALSE; | |
3023 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
3024 | } | |
3025 | projPH->Fit("pol2","0MR","",TMath::Max(projPH->GetBinCenter(binmax-1),0.0),projPH->GetBinCenter(binmax+1)); | |
3026 | Float_t l3P1amf = projPH->GetFunction("pol2")->GetParameter(1); | |
3027 | Float_t l3P2amf = projPH->GetFunction("pol2")->GetParameter(2); | |
3028 | Float_t l3P1amfE = projPH->GetFunction("pol2")->GetParError(1); | |
3029 | Float_t l3P2amfE = projPH->GetFunction("pol2")->GetParError(2); | |
55a288e5 | 3030 | if (l3P2amf != 0) { |
3031 | fPhd[1] = -(l3P1amf / (2 * l3P2amf)); | |
3032 | } | |
3033 | if((l3P1amf != 0.0) && (l3P2amf != 0.0)){ | |
3a0f6479 | 3034 | fCurrentCoefE = (l3P1amfE/l3P1amf + l3P2amfE/l3P2amf)*fPhd[1]; |
55a288e5 | 3035 | } |
3036 | if(fTakeTheMaxPH){ | |
3a0f6479 | 3037 | fCurrentCoefE2 = fCurrentCoefE; |
55a288e5 | 3038 | } |
55a288e5 | 3039 | // Drift region |
3040 | TH1D *pente = new TH1D("pente","pente",projPH->GetNbinsX(),0,(Float_t) limit); | |
3041 | for (Int_t k = TMath::Min(binmax+4,projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
3042 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
3043 | } | |
3044 | binmin = 0; | |
3045 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
3046 | if (binmin <= 1) { | |
3047 | binmin = 2; | |
3048 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
3049 | } | |
3050 | if (binmin >= nbins) { | |
3051 | binmin = nbins-1; | |
3052 | put = kFALSE; | |
3053 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
3054 | } | |
55a288e5 | 3055 | pente->Fit("pol2" |
3056 | ,"0MR" | |
3057 | ,"" | |
3058 | ,TMath::Max(pente->GetBinCenter(binmin-1), 0.0) | |
3059 | ,TMath::Min(pente->GetBinCenter(binmin+1),(Double_t) limit)); | |
3060 | Float_t l3P1dr = pente->GetFunction("pol2")->GetParameter(1); | |
3061 | Float_t l3P2dr = pente->GetFunction("pol2")->GetParameter(2); | |
3062 | Float_t l3P1drE = pente->GetFunction("pol2")->GetParError(1); | |
3063 | Float_t l3P2drE = pente->GetFunction("pol2")->GetParError(2); | |
3064 | if (l3P2dr != 0) { | |
3065 | fPhd[2] = -(l3P1dr / (2 * l3P2dr)); | |
3066 | } | |
3067 | if((l3P1dr != 0.0) && (l3P2dr != 0.0)){ | |
3a0f6479 | 3068 | fCurrentCoefE += (l3P1drE/l3P1dr + l3P2drE/l3P2dr)*fPhd[2]; |
55a288e5 | 3069 | } |
55a288e5 | 3070 | Float_t fPhdt0 = 0.0; |
3071 | if(fTakeTheMaxPH) fPhdt0 = fPhd[1]; | |
3072 | else fPhdt0 = fPhd[0]; | |
3073 | ||
3074 | if ((fPhd[2] > fPhd[0]) && | |
3075 | (fPhd[2] > fPhd[1]) && | |
3076 | (fPhd[1] > fPhd[0]) && | |
3077 | (put)) { | |
3a0f6479 | 3078 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
3079 | fNumberFitSuccess++; | |
3080 | ||
55a288e5 | 3081 | if (fPhdt0 >= 0.0) { |
3a0f6479 | 3082 | fCurrentCoef2[0] = (fPhdt0 - fT0Shift) / widbins; |
3083 | if (fCurrentCoef2[0] < -1.0) { | |
3084 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3085 | } |
3086 | } | |
3087 | else { | |
3a0f6479 | 3088 | fCurrentCoef2[0] = fCurrentCoef2[1]; |
55a288e5 | 3089 | } |
3a0f6479 | 3090 | |
55a288e5 | 3091 | } |
3092 | else { | |
3a0f6479 | 3093 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3094 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3095 | } |
3096 | ||
3a0f6479 | 3097 | if (fDebugLevel == 1) { |
55a288e5 | 3098 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
3099 | cpentei->cd(); | |
3100 | projPH->Draw(); | |
3101 | line->SetLineColor(2); | |
3102 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
3103 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
3104 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
3105 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
3106 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
3107 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 3108 | AliInfo(Form("fVriftCoef[1] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 3109 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
3110 | cpentei2->cd(); | |
3111 | pentea->Draw(); | |
3112 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
3113 | cpentei3->cd(); | |
3114 | pente->Draw(); | |
3115 | } | |
3a0f6479 | 3116 | else { |
55a288e5 | 3117 | delete pentea; |
55a288e5 | 3118 | delete pente; |
3119 | } | |
55a288e5 | 3120 | } |
55a288e5 | 3121 | //_____________________________________________________________________________ |
3a0f6479 | 3122 | void AliTRDCalibraFit::FitLagrangePoly(TH1* projPH) |
55a288e5 | 3123 | { |
3124 | // | |
3125 | // Slope methode but with polynomes de Lagrange | |
3126 | // | |
3127 | ||
3128 | // Constants | |
3129 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 3130 | Int_t binmax = 0; |
3131 | Int_t binmin = 0; | |
3132 | Double_t *x = new Double_t[5]; | |
3133 | Double_t *y = new Double_t[5]; | |
3134 | x[0] = 0.0; | |
3135 | x[1] = 0.0; | |
3136 | x[2] = 0.0; | |
3137 | x[3] = 0.0; | |
3138 | x[4] = 0.0; | |
3139 | y[0] = 0.0; | |
3140 | y[1] = 0.0; | |
3141 | y[2] = 0.0; | |
3142 | y[3] = 0.0; | |
3143 | y[4] = 0.0; | |
3144 | fPhd[0] = 0.0; | |
3145 | fPhd[1] = 0.0; | |
3146 | fPhd[2] = 0.0; | |
3147 | Int_t ju = 0; | |
3148 | fCurrentCoefE = 0.0; | |
3149 | fCurrentCoefE2 = 1.0; | |
3150 | fCurrentCoef[0] = 0.0; | |
3151 | fCurrentCoef2[0] = 0.0; | |
55a288e5 | 3152 | TLine *line = new TLine(); |
3153 | TF1 * polynome = 0x0; | |
3154 | TF1 * polynomea = 0x0; | |
3155 | TF1 * polynomeb = 0x0; | |
3156 | Double_t *c = 0x0; | |
3157 | ||
3158 | // Some variables | |
3159 | TAxis *xpph = projPH->GetXaxis(); | |
3160 | Int_t nbins = xpph->GetNbins(); | |
3161 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
3162 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
3163 | Double_t widbins = (upedge - lowedge) / nbins; | |
3164 | Double_t limit = upedge + 0.5 * widbins; | |
3165 | ||
3166 | ||
3167 | Bool_t put = kTRUE; | |
3168 | ||
3169 | // Beginning of the signal | |
3170 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
3171 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
3172 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
3173 | } | |
3174 | ||
3175 | binmax = (Int_t) pentea->GetMaximumBin(); | |
55a288e5 | 3176 | |
3177 | Double_t minnn = 0.0; | |
3178 | Double_t maxxx = 0.0; | |
3179 | ||
3a0f6479 | 3180 | Int_t kase = nbins-binmax; |
3181 | ||
3182 | switch(kase) | |
3183 | { | |
3184 | case 0: | |
3185 | put = kFALSE; | |
3186 | break; | |
3187 | case 1: | |
3188 | minnn = pentea->GetBinCenter(binmax-2); | |
3189 | maxxx = pentea->GetBinCenter(binmax); | |
3190 | x[0] = pentea->GetBinCenter(binmax-2); | |
3191 | x[1] = pentea->GetBinCenter(binmax-1); | |
3192 | x[2] = pentea->GetBinCenter(binmax); | |
3193 | y[0] = pentea->GetBinContent(binmax-2); | |
3194 | y[1] = pentea->GetBinContent(binmax-1); | |
3195 | y[2] = pentea->GetBinContent(binmax); | |
3196 | c = CalculPolynomeLagrange2(x,y); | |
3197 | AliInfo("At the limit for beginning!"); | |
3198 | break; | |
3199 | case 2: | |
3200 | minnn = pentea->GetBinCenter(binmax-2); | |
3201 | maxxx = pentea->GetBinCenter(binmax+1); | |
3202 | x[0] = pentea->GetBinCenter(binmax-2); | |
3203 | x[1] = pentea->GetBinCenter(binmax-1); | |
3204 | x[2] = pentea->GetBinCenter(binmax); | |
3205 | x[3] = pentea->GetBinCenter(binmax+1); | |
3206 | y[0] = pentea->GetBinContent(binmax-2); | |
3207 | y[1] = pentea->GetBinContent(binmax-1); | |
3208 | y[2] = pentea->GetBinContent(binmax); | |
3209 | y[3] = pentea->GetBinContent(binmax+1); | |
3210 | c = CalculPolynomeLagrange3(x,y); | |
3211 | break; | |
3212 | default: | |
3213 | switch(binmax){ | |
3214 | case 0: | |
3215 | put = kFALSE; | |
3216 | break; | |
3217 | case 1: | |
3218 | minnn = pentea->GetBinCenter(binmax); | |
3219 | maxxx = pentea->GetBinCenter(binmax+2); | |
3220 | x[0] = pentea->GetBinCenter(binmax); | |
3221 | x[1] = pentea->GetBinCenter(binmax+1); | |
3222 | x[2] = pentea->GetBinCenter(binmax+2); | |
3223 | y[0] = pentea->GetBinContent(binmax); | |
3224 | y[1] = pentea->GetBinContent(binmax+1); | |
3225 | y[2] = pentea->GetBinContent(binmax+2); | |
3226 | c = CalculPolynomeLagrange2(x,y); | |
3227 | break; | |
3228 | case 2: | |
3229 | minnn = pentea->GetBinCenter(binmax-1); | |
3230 | maxxx = pentea->GetBinCenter(binmax+2); | |
3231 | x[0] = pentea->GetBinCenter(binmax-1); | |
3232 | x[1] = pentea->GetBinCenter(binmax); | |
3233 | x[2] = pentea->GetBinCenter(binmax+1); | |
3234 | x[3] = pentea->GetBinCenter(binmax+2); | |
3235 | y[0] = pentea->GetBinContent(binmax-1); | |
3236 | y[1] = pentea->GetBinContent(binmax); | |
3237 | y[2] = pentea->GetBinContent(binmax+1); | |
3238 | y[3] = pentea->GetBinContent(binmax+2); | |
3239 | c = CalculPolynomeLagrange3(x,y); | |
3240 | break; | |
3241 | default: | |
3242 | minnn = pentea->GetBinCenter(binmax-2); | |
3243 | maxxx = pentea->GetBinCenter(binmax+2); | |
3244 | x[0] = pentea->GetBinCenter(binmax-2); | |
3245 | x[1] = pentea->GetBinCenter(binmax-1); | |
3246 | x[2] = pentea->GetBinCenter(binmax); | |
3247 | x[3] = pentea->GetBinCenter(binmax+1); | |
3248 | x[4] = pentea->GetBinCenter(binmax+2); | |
3249 | y[0] = pentea->GetBinContent(binmax-2); | |
3250 | y[1] = pentea->GetBinContent(binmax-1); | |
3251 | y[2] = pentea->GetBinContent(binmax); | |
3252 | y[3] = pentea->GetBinContent(binmax+1); | |
3253 | y[4] = pentea->GetBinContent(binmax+2); | |
3254 | c = CalculPolynomeLagrange4(x,y); | |
3255 | break; | |
3256 | } | |
3257 | break; | |
55a288e5 | 3258 | } |
3a0f6479 | 3259 | |
3260 | ||
55a288e5 | 3261 | if(put) { |
3262 | polynomeb = new TF1("polb","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minnn,maxxx); | |
3263 | polynomeb->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
3a0f6479 | 3264 | |
55a288e5 | 3265 | Double_t step = (maxxx-minnn)/10000; |
3266 | Double_t l = minnn; | |
3267 | Double_t maxvalue = 0.0; | |
3268 | Double_t placemaximum = minnn; | |
3269 | for(Int_t o = 0; o < 10000; o++){ | |
3270 | if(o == 0) maxvalue = polynomeb->Eval(l); | |
3271 | if(maxvalue < (polynomeb->Eval(l))){ | |
3272 | maxvalue = polynomeb->Eval(l); | |
3273 | placemaximum = l; | |
3274 | } | |
3275 | l += step; | |
3276 | } | |
3277 | fPhd[0] = placemaximum; | |
3278 | } | |
55a288e5 | 3279 | |
3280 | // Amplification region | |
3281 | binmax = 0; | |
3282 | ju = 0; | |
3283 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 3284 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 3285 | binmax = kbin; |
3286 | ju = 1; | |
3287 | } | |
3288 | } | |
3a0f6479 | 3289 | |
55a288e5 | 3290 | Double_t minn = 0.0; |
3291 | Double_t maxx = 0.0; | |
3a0f6479 | 3292 | x[0] = 0.0; |
3293 | x[1] = 0.0; | |
3294 | x[2] = 0.0; | |
3295 | x[3] = 0.0; | |
3296 | x[4] = 0.0; | |
3297 | y[0] = 0.0; | |
3298 | y[1] = 0.0; | |
3299 | y[2] = 0.0; | |
3300 | y[3] = 0.0; | |
3301 | y[4] = 0.0; | |
3302 | ||
3303 | Int_t kase1 = nbins - binmax; | |
55a288e5 | 3304 | |
3305 | //Determination of minn and maxx | |
3306 | //case binmax = nbins | |
3307 | //pol2 | |
3a0f6479 | 3308 | switch(kase1) |
3309 | { | |
3310 | case 0: | |
3311 | minn = projPH->GetBinCenter(binmax-2); | |
3312 | maxx = projPH->GetBinCenter(binmax); | |
3313 | x[0] = projPH->GetBinCenter(binmax-2); | |
3314 | x[1] = projPH->GetBinCenter(binmax-1); | |
3315 | x[2] = projPH->GetBinCenter(binmax); | |
3316 | y[0] = projPH->GetBinContent(binmax-2); | |
3317 | y[1] = projPH->GetBinContent(binmax-1); | |
3318 | y[2] = projPH->GetBinContent(binmax); | |
3319 | c = CalculPolynomeLagrange2(x,y); | |
3320 | //AliInfo("At the limit for the drift!"); | |
3321 | break; | |
3322 | case 1: | |
3323 | minn = projPH->GetBinCenter(binmax-2); | |
3324 | maxx = projPH->GetBinCenter(binmax+1); | |
3325 | x[0] = projPH->GetBinCenter(binmax-2); | |
3326 | x[1] = projPH->GetBinCenter(binmax-1); | |
3327 | x[2] = projPH->GetBinCenter(binmax); | |
3328 | x[3] = projPH->GetBinCenter(binmax+1); | |
3329 | y[0] = projPH->GetBinContent(binmax-2); | |
3330 | y[1] = projPH->GetBinContent(binmax-1); | |
3331 | y[2] = projPH->GetBinContent(binmax); | |
3332 | y[3] = projPH->GetBinContent(binmax+1); | |
3333 | c = CalculPolynomeLagrange3(x,y); | |
3334 | break; | |
3335 | default: | |
3336 | switch(binmax) | |
3337 | { | |
3338 | case 0: | |
3339 | put = kFALSE; | |
3340 | break; | |
3341 | case 1: | |
3342 | minn = projPH->GetBinCenter(binmax); | |
3343 | maxx = projPH->GetBinCenter(binmax+2); | |
3344 | x[0] = projPH->GetBinCenter(binmax); | |
3345 | x[1] = projPH->GetBinCenter(binmax+1); | |
3346 | x[2] = projPH->GetBinCenter(binmax+2); | |
3347 | y[0] = projPH->GetBinContent(binmax); | |
3348 | y[1] = projPH->GetBinContent(binmax+1); | |
3349 | y[2] = projPH->GetBinContent(binmax+2); | |
3350 | c = CalculPolynomeLagrange2(x,y); | |
3351 | break; | |
3352 | case 2: | |
3353 | minn = projPH->GetBinCenter(binmax-1); | |
3354 | maxx = projPH->GetBinCenter(binmax+2); | |
3355 | x[0] = projPH->GetBinCenter(binmax-1); | |
3356 | x[1] = projPH->GetBinCenter(binmax); | |
3357 | x[2] = projPH->GetBinCenter(binmax+1); | |
3358 | x[3] = projPH->GetBinCenter(binmax+2); | |
3359 | y[0] = projPH->GetBinContent(binmax-1); | |
3360 | y[1] = projPH->GetBinContent(binmax); | |
3361 | y[2] = projPH->GetBinContent(binmax+1); | |
3362 | y[3] = projPH->GetBinContent(binmax+2); | |
3363 | c = CalculPolynomeLagrange3(x,y); | |
3364 | break; | |
3365 | default: | |
3366 | minn = projPH->GetBinCenter(binmax-2); | |
3367 | maxx = projPH->GetBinCenter(binmax+2); | |
3368 | x[0] = projPH->GetBinCenter(binmax-2); | |
3369 | x[1] = projPH->GetBinCenter(binmax-1); | |
3370 | x[2] = projPH->GetBinCenter(binmax); | |
3371 | x[3] = projPH->GetBinCenter(binmax+1); | |
3372 | x[4] = projPH->GetBinCenter(binmax+2); | |
3373 | y[0] = projPH->GetBinContent(binmax-2); | |
3374 | y[1] = projPH->GetBinContent(binmax-1); | |
3375 | y[2] = projPH->GetBinContent(binmax); | |
3376 | y[3] = projPH->GetBinContent(binmax+1); | |
3377 | y[4] = projPH->GetBinContent(binmax+2); | |
3378 | c = CalculPolynomeLagrange4(x,y); | |
3379 | break; | |
3380 | } | |
3381 | break; | |
55a288e5 | 3382 | } |
3a0f6479 | 3383 | |
55a288e5 | 3384 | if(put) { |
3385 | polynomea = new TF1("pola","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minn,maxx); | |
3386 | polynomea->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
3a0f6479 | 3387 | |
55a288e5 | 3388 | Double_t step = (maxx-minn)/1000; |
3389 | Double_t l = minn; | |
3390 | Double_t maxvalue = 0.0; | |
3391 | Double_t placemaximum = minn; | |
3392 | for(Int_t o = 0; o < 1000; o++){ | |
3393 | if(o == 0) maxvalue = polynomea->Eval(l); | |
3394 | if(maxvalue < (polynomea->Eval(l))){ | |
3395 | maxvalue = polynomea->Eval(l); | |
3396 | placemaximum = l; | |
3397 | } | |
3398 | l += step; | |
3399 | } | |
3400 | fPhd[1] = placemaximum; | |
3401 | } | |
3402 | ||
55a288e5 | 3403 | // Drift region |
3404 | TH1D *pente = new TH1D("pente","pente", projPH->GetNbinsX(),0,(Float_t) limit); | |
3405 | for (Int_t k = TMath::Min(binmax+4, projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
3406 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
3407 | } | |
3408 | binmin = 0; | |
3409 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
3410 | ||
3411 | //should not happen | |
3412 | if (binmin <= 1) { | |
3413 | binmin = 2; | |
3414 | put = 1; | |
3415 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
3416 | } | |
3417 | ||
3418 | //check | |
3419 | if((projPH->GetBinContent(binmin)-projPH->GetBinError(binmin)) < (projPH->GetBinContent(binmin+1))) put = kFALSE; | |
3420 | if((projPH->GetBinContent(binmin)+projPH->GetBinError(binmin)) > (projPH->GetBinContent(binmin-1))) put = kFALSE; | |
3a0f6479 | 3421 | |
3422 | x[0] = 0.0; | |
3423 | x[1] = 0.0; | |
3424 | x[2] = 0.0; | |
3425 | x[3] = 0.0; | |
3426 | x[4] = 0.0; | |
3427 | y[0] = 0.0; | |
3428 | y[1] = 0.0; | |
3429 | y[2] = 0.0; | |
3430 | y[3] = 0.0; | |
3431 | y[4] = 0.0; | |
55a288e5 | 3432 | Double_t min = 0.0; |
3433 | Double_t max = 0.0; | |
3434 | Bool_t case1 = kFALSE; | |
3435 | Bool_t case2 = kFALSE; | |
3436 | Bool_t case4 = kFALSE; | |
3437 | ||
3438 | //Determination of min and max | |
3439 | //case binmin <= nbins-3 | |
3440 | //pol4 case 3 | |
3441 | if((binmin <= (nbins-3)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3442 | min = pente->GetBinCenter(binmin-2); | |
3443 | max = pente->GetBinCenter(binmin+2); | |
3444 | x[0] = pente->GetBinCenter(binmin-2); | |
3445 | x[1] = pente->GetBinCenter(binmin-1); | |
3446 | x[2] = pente->GetBinCenter(binmin); | |
3447 | x[3] = pente->GetBinCenter(binmin+1); | |
3448 | x[4] = pente->GetBinCenter(binmin+2); | |
3449 | y[0] = pente->GetBinContent(binmin-2); | |
3450 | y[1] = pente->GetBinContent(binmin-1); | |
3451 | y[2] = pente->GetBinContent(binmin); | |
3452 | y[3] = pente->GetBinContent(binmin+1); | |
3453 | y[4] = pente->GetBinContent(binmin+2); | |
3454 | //Calcul the polynome de Lagrange | |
3455 | c = CalculPolynomeLagrange4(x,y); | |
3456 | //richtung +/- | |
3457 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && | |
3458 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) put = kFALSE; | |
3459 | if(((binmin+3) <= (nbins-1)) && | |
3460 | (pente->GetBinContent(binmin+3) <= pente->GetBinContent(binmin+2)) && | |
3461 | ((binmin-3) >= TMath::Min(binmax+4, projPH->GetNbinsX())) && | |
3462 | (pente->GetBinContent(binmin-3) <= pente->GetBinContent(binmin-2))) put = kFALSE; | |
3463 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && | |
3464 | (pente->GetBinContent(binmin-2) > pente->GetBinContent(binmin-1))) case1 = kTRUE; | |
3465 | if((pente->GetBinContent(binmin+2) > pente->GetBinContent(binmin+1)) && | |
3466 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) case4 = kTRUE; | |
3467 | } | |
3468 | //case binmin = nbins-2 | |
3469 | //pol3 case 1 | |
3470 | if(((binmin == (nbins-2)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
3471 | (case1)){ | |
3472 | min = pente->GetBinCenter(binmin-2); | |
3473 | max = pente->GetBinCenter(binmin+1); | |
3474 | x[0] = pente->GetBinCenter(binmin-2); | |
3475 | x[1] = pente->GetBinCenter(binmin-1); | |
3476 | x[2] = pente->GetBinCenter(binmin); | |
3477 | x[3] = pente->GetBinCenter(binmin+1); | |
3478 | y[0] = pente->GetBinContent(binmin-2); | |
3479 | y[1] = pente->GetBinContent(binmin-1); | |
3480 | y[2] = pente->GetBinContent(binmin); | |
3481 | y[3] = pente->GetBinContent(binmin+1); | |
3482 | //Calcul the polynome de Lagrange | |
3483 | c = CalculPolynomeLagrange3(x,y); | |
3484 | //richtung +: nothing | |
3485 | //richtung - | |
3486 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) case2 = kTRUE; | |
3487 | } | |
3488 | //pol3 case 4 | |
3489 | if(((binmin <= (nbins-3)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
3490 | (case4)){ | |
3491 | min = pente->GetBinCenter(binmin-1); | |
3492 | max = pente->GetBinCenter(binmin+2); | |
3493 | x[0] = pente->GetBinCenter(binmin-1); | |
3494 | x[1] = pente->GetBinCenter(binmin); | |
3495 | x[2] = pente->GetBinCenter(binmin+1); | |
3496 | x[3] = pente->GetBinCenter(binmin+2); | |
3497 | y[0] = pente->GetBinContent(binmin-1); | |
3498 | y[1] = pente->GetBinContent(binmin); | |
3499 | y[2] = pente->GetBinContent(binmin+1); | |
3500 | y[3] = pente->GetBinContent(binmin+2); | |
3501 | //Calcul the polynome de Lagrange | |
3502 | c = CalculPolynomeLagrange3(x,y); | |
3503 | //richtung + | |
3504 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) case2 = kTRUE; | |
3505 | } | |
3506 | //pol2 case 5 | |
3507 | if((binmin <= (nbins-3)) && (binmin == TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3508 | min = pente->GetBinCenter(binmin); | |
3509 | max = pente->GetBinCenter(binmin+2); | |
3510 | x[0] = pente->GetBinCenter(binmin); | |
3511 | x[1] = pente->GetBinCenter(binmin+1); | |
3512 | x[2] = pente->GetBinCenter(binmin+2); | |
3513 | y[0] = pente->GetBinContent(binmin); | |
3514 | y[1] = pente->GetBinContent(binmin+1); | |
3515 | y[2] = pente->GetBinContent(binmin+2); | |
3516 | //Calcul the polynome de Lagrange | |
3517 | c = CalculPolynomeLagrange2(x,y); | |
3518 | //richtung + | |
3519 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) put = kFALSE; | |
3520 | } | |
3521 | //pol2 case 2 | |
3522 | if(((binmin == (nbins-2)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
3523 | (case2)){ | |
3524 | min = pente->GetBinCenter(binmin-1); | |
3525 | max = pente->GetBinCenter(binmin+1); | |
3526 | x[0] = pente->GetBinCenter(binmin-1); | |
3527 | x[1] = pente->GetBinCenter(binmin); | |
3528 | x[2] = pente->GetBinCenter(binmin+1); | |
3529 | y[0] = pente->GetBinContent(binmin-1); | |
3530 | y[1] = pente->GetBinContent(binmin); | |
3531 | y[2] = pente->GetBinContent(binmin+1); | |
3532 | //Calcul the polynome de Lagrange | |
3533 | c = CalculPolynomeLagrange2(x,y); | |
3534 | //richtung +: nothing | |
3535 | //richtung -: nothing | |
3536 | } | |
3537 | //case binmin = nbins-1 | |
3538 | //pol2 case 0 | |
3539 | if((binmin == (nbins-1)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3540 | min = pente->GetBinCenter(binmin-2); | |
3541 | max = pente->GetBinCenter(binmin); | |
3542 | x[0] = pente->GetBinCenter(binmin-2); | |
3543 | x[1] = pente->GetBinCenter(binmin-1); | |
3544 | x[2] = pente->GetBinCenter(binmin); | |
3545 | y[0] = pente->GetBinContent(binmin-2); | |
3546 | y[1] = pente->GetBinContent(binmin-1); | |
3547 | y[2] = pente->GetBinContent(binmin); | |
3548 | //Calcul the polynome de Lagrange | |
3549 | c = CalculPolynomeLagrange2(x,y); | |
3a0f6479 | 3550 | //AliInfo("At the limit for the drift!"); |
55a288e5 | 3551 | //fluctuation too big! |
3552 | //richtung +: nothing | |
3553 | //richtung - | |
3554 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) put = kFALSE; | |
3555 | } | |
3556 | if((binmin == (nbins-1)) && ((binmin-2) < TMath::Min(binmax+4, projPH->GetNbinsX()))) { | |
3557 | put = kFALSE; | |
3558 | AliInfo("At the limit for the drift and not usable!"); | |
3559 | } | |
3560 | ||
3561 | //pass | |
3562 | if((binmin == (nbins-2)) && ((binmin-1) < TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3563 | put = kFALSE; | |
3564 | AliInfo("For the drift...problem!"); | |
3565 | } | |
55a288e5 | 3566 | //pass but should not happen |
3567 | if((binmin <= (nbins-3)) && (binmin < TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3568 | put = kFALSE; | |
3569 | AliInfo("For the drift...problem!"); | |
3570 | } | |
3a0f6479 | 3571 | |
55a288e5 | 3572 | if(put) { |
3573 | polynome = new TF1("pol","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",min,max); | |
3574 | polynome->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
55a288e5 | 3575 | //AliInfo(Form("GetMinimum of the function %f",polynome->GetMinimumX())); |
3576 | Double_t step = (max-min)/1000; | |
3577 | Double_t l = min; | |
3578 | Double_t minvalue = 0.0; | |
3579 | Double_t placeminimum = min; | |
3580 | for(Int_t o = 0; o < 1000; o++){ | |
3581 | if(o == 0) minvalue = polynome->Eval(l); | |
3582 | if(minvalue > (polynome->Eval(l))){ | |
3583 | minvalue = polynome->Eval(l); | |
3584 | placeminimum = l; | |
3585 | } | |
3586 | l += step; | |
3587 | } | |
3588 | fPhd[2] = placeminimum; | |
3589 | } | |
3a0f6479 | 3590 | |
55a288e5 | 3591 | Float_t fPhdt0 = 0.0; |
3592 | if(fTakeTheMaxPH) fPhdt0 = fPhd[1]; | |
3593 | else fPhdt0 = fPhd[0]; | |
3594 | ||
3595 | if ((fPhd[2] > fPhd[0]) && | |
3596 | (fPhd[2] > fPhd[1]) && | |
3597 | (fPhd[1] > fPhd[0]) && | |
3598 | (put)) { | |
3a0f6479 | 3599 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
3600 | fNumberFitSuccess++; | |
55a288e5 | 3601 | if (fPhdt0 >= 0.0) { |
3a0f6479 | 3602 | fCurrentCoef2[0] = (fPhdt0 - fT0Shift) / widbins; |
3603 | if (fCurrentCoef2[0] < -1.0) { | |
3604 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3605 | } |
3606 | } | |
3607 | else { | |
3a0f6479 | 3608 | fCurrentCoef2[0] = fCurrentCoef2[1]; |
55a288e5 | 3609 | } |
3610 | } | |
3611 | else { | |
3a0f6479 | 3612 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3613 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
3614 | //printf("Fit failed!\n"); | |
55a288e5 | 3615 | } |
3616 | ||
3a0f6479 | 3617 | if (fDebugLevel == 1) { |
55a288e5 | 3618 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
3619 | cpentei->cd(); | |
3620 | projPH->Draw(); | |
3621 | line->SetLineColor(2); | |
3622 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
3623 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
3624 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
3625 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
3626 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
3627 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 3628 | AliInfo(Form("fVriftCoef[3] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 3629 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
3630 | cpentei2->cd(); | |
3631 | pentea->Draw(); | |
3632 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
3633 | cpentei3->cd(); | |
3634 | pente->Draw(); | |
3635 | } | |
3a0f6479 | 3636 | else { |
55a288e5 | 3637 | delete pentea; |
3638 | delete pente; | |
3639 | delete polynome; | |
3640 | delete polynomea; | |
3641 | delete polynomeb; | |
3642 | } | |
3a0f6479 | 3643 | |
55a288e5 | 3644 | projPH->SetDirectory(0); |
3645 | ||
3646 | } | |
3647 | ||
3648 | //_____________________________________________________________________________ | |
3649 | void AliTRDCalibraFit::FitPH(TH1* projPH, Int_t idect) | |
3650 | { | |
3651 | // | |
3652 | // Fit methode for the drift velocity | |
3653 | // | |
3654 | ||
3655 | // Constants | |
3656 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3657 | ||
3658 | // Some variables | |
3659 | TAxis *xpph = projPH->GetXaxis(); | |
3660 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
3661 | ||
3662 | TF1 *fPH = new TF1("fPH",AliTRDCalibraFit::PH,-0.05,3.2,6); | |
3663 | fPH->SetParameter(0,0.469); // Scaling | |
3664 | fPH->SetParameter(1,0.18); // Start | |
3665 | fPH->SetParameter(2,0.0857325); // AR | |
3666 | fPH->SetParameter(3,1.89); // DR | |
3667 | fPH->SetParameter(4,0.08); // QA/QD | |
3668 | fPH->SetParameter(5,0.0); // Baseline | |
3669 | ||
3670 | TLine *line = new TLine(); | |
3671 | ||
3a0f6479 | 3672 | fCurrentCoef[0] = 0.0; |
3673 | fCurrentCoef2[0] = 0.0; | |
3674 | fCurrentCoefE = 0.0; | |
3675 | fCurrentCoefE2 = 0.0; | |
55a288e5 | 3676 | |
3677 | if (idect%fFitPHPeriode == 0) { | |
3678 | ||
3a0f6479 | 3679 | AliInfo(Form("The detector %d will be fitted",idect)); |
55a288e5 | 3680 | fPH->SetParameter(0,(projPH->Integral()-(projPH->GetBinContent(1)*projPH->GetNbinsX())) * 0.00028); // Scaling |
3681 | fPH->SetParameter(1,fPhd[0] - 0.1); // Start | |
3682 | fPH->SetParameter(2,fPhd[1] - fPhd[0]); // AR | |
3683 | fPH->SetParameter(3,fPhd[2] - fPhd[1]); // DR | |
3684 | fPH->SetParameter(4,0.225); // QA/QD | |
3685 | fPH->SetParameter(5,(Float_t) projPH->GetBinContent(1)); | |
3686 | ||
3a0f6479 | 3687 | if (fDebugLevel != 1) { |
55a288e5 | 3688 | projPH->Fit(fPH,"0M","",0.0,upedge); |
3689 | } | |
3a0f6479 | 3690 | else { |
55a288e5 | 3691 | TCanvas *cpente = new TCanvas("cpente","cpente",50,50,600,800); |
3692 | cpente->cd(); | |
3693 | projPH->Fit(fPH,"M+","",0.0,upedge); | |
3694 | projPH->Draw("E0"); | |
3695 | line->SetLineColor(4); | |
3696 | line->DrawLine(fPH->GetParameter(1) | |
3697 | ,0 | |
3698 | ,fPH->GetParameter(1) | |
3699 | ,projPH->GetMaximum()); | |
3700 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2) | |
3701 | ,0 | |
3702 | ,fPH->GetParameter(1)+fPH->GetParameter(2) | |
3703 | ,projPH->GetMaximum()); | |
3704 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
3705 | ,0 | |
3706 | ,fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
3707 | ,projPH->GetMaximum()); | |
3708 | } | |
3709 | ||
3710 | if (fPH->GetParameter(3) != 0) { | |
3a0f6479 | 3711 | fNumberFitSuccess++; |
3712 | fCurrentCoef[0] = kDrWidth / (fPH->GetParameter(3)); | |
3713 | fCurrentCoefE = (fPH->GetParError(3)/fPH->GetParameter(3))*fCurrentCoef[0]; | |
3714 | fCurrentCoef2[0] = fPH->GetParameter(1); | |
3715 | fCurrentCoefE2 = fPH->GetParError(1); | |
55a288e5 | 3716 | } |
3717 | else { | |
3a0f6479 | 3718 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3719 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3720 | } |
3a0f6479 | 3721 | |
55a288e5 | 3722 | } |
55a288e5 | 3723 | else { |
3724 | ||
3a0f6479 | 3725 | // Put the default value |
3726 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3727 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3728 | } |
3729 | ||
3a0f6479 | 3730 | if (fDebugLevel != 1) { |
55a288e5 | 3731 | delete fPH; |
3732 | } | |
3733 | ||
3734 | } | |
55a288e5 | 3735 | //_____________________________________________________________________________ |
3a0f6479 | 3736 | Bool_t AliTRDCalibraFit::FitPRFGausMI(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nBins, Float_t xMin, Float_t xMax) |
55a288e5 | 3737 | { |
3738 | // | |
3739 | // Fit methode for the sigma of the pad response function | |
3740 | // | |
3a0f6479 | 3741 | |
3742 | TVectorD param(3); | |
55a288e5 | 3743 | |
3a0f6479 | 3744 | fCurrentCoef[0] = 0.0; |
3745 | fCurrentCoefE = 0.0; | |
3746 | ||
3747 | Double_t ret = FitGausMI(arraye, arraym, arrayme, nBins, xMin, xMax,¶m); | |
3748 | ||
3749 | if(ret == -4){ | |
3750 | fCurrentCoef[0] = -fCurrentCoef[1]; | |
3751 | return kFALSE; | |
3752 | } | |
3753 | else { | |
3754 | fNumberFitSuccess++; | |
3755 | fCurrentCoef[0] = param[2]; | |
3756 | fCurrentCoefE = ret; | |
3757 | return kTRUE; | |
3758 | } | |
3759 | } | |
3760 | //_____________________________________________________________________________ | |
3761 | 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) | |
3762 | { | |
3763 | // | |
3764 | // Fit methode for the sigma of the pad response function | |
3765 | // | |
3766 | ||
3767 | //We should have at least 3 points | |
3768 | if(nBins <=3) return -4.0; | |
3769 | ||
3770 | TLinearFitter fitter(3,"pol2"); | |
3771 | fitter.StoreData(kFALSE); | |
3772 | fitter.ClearPoints(); | |
3773 | TVectorD par(3); | |
3774 | Float_t binWidth = (xMax-xMin)/(Float_t)nBins; | |
3775 | Float_t entries = 0; | |
3776 | Int_t nbbinwithentries = 0; | |
3777 | for (Int_t i=0; i<nBins; i++){ | |
3778 | entries+=arraye[i]; | |
3779 | if(arraye[i] > 15) nbbinwithentries++; | |
3780 | //printf("entries for i %d: %f\n",i,arraye[i]); | |
3781 | } | |
3782 | if ((entries<700) || (nbbinwithentries < ((Int_t)(nBins/2)))) return -4; | |
3783 | //printf("entries %f\n",entries); | |
3784 | //printf("nbbinwithentries %d\n",nbbinwithentries); | |
3785 | ||
3786 | Int_t npoints=0; | |
3787 | Float_t errorm = 0.0; | |
3788 | Float_t errorn = 0.0; | |
3789 | Float_t error = 0.0; | |
3790 | ||
3791 | // | |
3792 | for (Int_t ibin=0;ibin<nBins; ibin++){ | |
3793 | Float_t entriesI = arraye[ibin]; | |
3794 | Float_t valueI = arraym[ibin]; | |
3795 | Double_t xcenter = 0.0; | |
3796 | Float_t val = 0.0; | |
3797 | if ((entriesI>15) && (valueI>0.0)){ | |
3798 | xcenter = xMin+(ibin+0.5)*binWidth; | |
3799 | errorm = 0.0; | |
3800 | errorn = 0.0; | |
3801 | error = 0.0; | |
3802 | if(!kError){ | |
3803 | if((valueI + 0.01) > 0.0) errorm = TMath::Log((valueI + 0.01)/valueI); | |
3804 | if((valueI - 0.01) > 0.0) errorn = TMath::Log((valueI - 0.01)/valueI); | |
3805 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
3806 | } | |
3807 | else{ | |
3808 | if((valueI + arrayme[ibin]) > 0.0) errorm = TMath::Log((valueI + arrayme[ibin])/valueI); | |
3809 | if((valueI - arrayme[ibin]) > 0.0) errorn = TMath::Log((valueI - arrayme[ibin])/valueI); | |
3810 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
3811 | } | |
3812 | if(error == 0.0) continue; | |
3813 | val = TMath::Log(Float_t(valueI)); | |
3814 | fitter.AddPoint(&xcenter,val,error); | |
3815 | npoints++; | |
3816 | } | |
3817 | ||
3818 | if(fDebugLevel > 1){ | |
55a288e5 | 3819 | |
3a0f6479 | 3820 | if ( !fDebugStreamer ) { |
3821 | //debug stream | |
3822 | TDirectory *backup = gDirectory; | |
3823 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
3824 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3825 | } | |
3826 | ||
3827 | Int_t detector = fCountDet; | |
3828 | Int_t plane = GetPlane(fCountDet); | |
3829 | Int_t group = ibin; | |
3830 | ||
3831 | (* fDebugStreamer) << "FitGausMIFill"<< | |
3832 | "detector="<<detector<< | |
3833 | "plane="<<plane<< | |
3834 | "nbins="<<nBins<< | |
3835 | "group="<<group<< | |
3836 | "entriesI="<<entriesI<< | |
3837 | "valueI="<<valueI<< | |
3838 | "val="<<val<< | |
3839 | "xcenter="<<xcenter<< | |
3840 | "errorm="<<errorm<< | |
3841 | "errorn="<<errorn<< | |
3842 | "error="<<error<< | |
3843 | "kError="<<kError<< | |
3844 | "\n"; | |
3845 | } | |
3846 | ||
3847 | } | |
3848 | ||
3849 | if(npoints <=3) return -4.0; | |
3850 | ||
3851 | Double_t chi2 = 0; | |
3852 | if (npoints>3){ | |
3853 | fitter.Eval(); | |
3854 | fitter.GetParameters(par); | |
3855 | chi2 = fitter.GetChisquare()/Float_t(npoints); | |
55a288e5 | 3856 | |
3a0f6479 | 3857 | |
3858 | if (!param) param = new TVectorD(3); | |
3859 | if(par[2] == 0.0) return -4.0; | |
3860 | Double_t x = TMath::Sqrt(TMath::Abs(-2*par[2])); | |
3861 | Double_t deltax = (fitter.GetParError(2))/x; | |
3862 | Double_t errorparam2 = TMath::Abs(deltax)/(x*x); | |
3863 | chi2 = errorparam2; | |
55a288e5 | 3864 | |
3a0f6479 | 3865 | (*param)[1] = par[1]/(-2.*par[2]); |
3866 | (*param)[2] = 1./TMath::Sqrt(TMath::Abs(-2.*par[2])); | |
3867 | Double_t lnparam0 = par[0]+ par[1]* (*param)[1] + par[2]*(*param)[1]*(*param)[1]; | |
3868 | if ( lnparam0>307 ) return -4; | |
3869 | (*param)[0] = TMath::Exp(lnparam0); | |
3870 | ||
3871 | if(fDebugLevel > 1){ | |
3872 | ||
3873 | if ( !fDebugStreamer ) { | |
3874 | //debug stream | |
3875 | TDirectory *backup = gDirectory; | |
3876 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
3877 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3878 | } | |
3879 | ||
3880 | Int_t detector = fCountDet; | |
3881 | Int_t plane = GetPlane(fCountDet); | |
3882 | ||
3883 | ||
3884 | (* fDebugStreamer) << "FitGausMIFit"<< | |
3885 | "detector="<<detector<< | |
3886 | "plane="<<plane<< | |
3887 | "nbins="<<nBins<< | |
3888 | "errorsigma="<<chi2<< | |
3889 | "mean="<<(*param)[1]<< | |
3890 | "sigma="<<(*param)[2]<< | |
3891 | "constant="<<(*param)[0]<< | |
3892 | "\n"; | |
3893 | } | |
3894 | } | |
3895 | ||
3896 | if((chi2/(*param)[2]) > 0.1){ | |
3897 | if(kError){ | |
3898 | chi2 = FitGausMI(arraye,arraym,arrayme,nBins,xMin,xMax,param,kFALSE); | |
3899 | } | |
3900 | else return -4.0; | |
55a288e5 | 3901 | } |
3a0f6479 | 3902 | |
3903 | if(fDebugLevel == 1){ | |
3904 | TString name("PRF"); | |
3905 | name += (Int_t)xMin; | |
3906 | name += (Int_t)xMax; | |
3907 | TCanvas *c1 = new TCanvas((const char *)name,(const char *)name,50,50,600,800); | |
3908 | c1->cd(); | |
3909 | name += "histo"; | |
3910 | TH1F *histo = new TH1F((const char *)name,(const char *)name,nBins,xMin,xMax); | |
3911 | for(Int_t k = 0; k < nBins; k++){ | |
3912 | histo->SetBinContent(k+1,arraym[k]); | |
3913 | histo->SetBinError(k+1,arrayme[k]); | |
3914 | } | |
3915 | histo->Draw(); | |
3916 | name += "functionf"; | |
3917 | TF1 *f1= new TF1((const char*)name,"[0]*exp(-(x-[1])^2/(2*[2]*[2]))",xMin,xMax); | |
3918 | f1->SetParameter(0, (*param)[0]); | |
3919 | f1->SetParameter(1, (*param)[1]); | |
3920 | f1->SetParameter(2, (*param)[2]); | |
3921 | f1->Draw("same"); | |
3922 | } | |
3923 | ||
3924 | ||
3925 | return chi2; | |
3926 | ||
3927 | } | |
3928 | //_____________________________________________________________________________ | |
3929 | void AliTRDCalibraFit::FitPRF(TH1 *projPRF) | |
3930 | { | |
3931 | // | |
3932 | // Fit methode for the sigma of the pad response function | |
3933 | // | |
55a288e5 | 3934 | |
3a0f6479 | 3935 | fCurrentCoef[0] = 0.0; |
3936 | fCurrentCoefE = 0.0; | |
3937 | ||
3938 | if (fDebugLevel != 1) { | |
3939 | projPRF->Fit("gaus","0M","",-fRangeFitPRF,fRangeFitPRF); | |
3940 | } | |
3941 | else { | |
55a288e5 | 3942 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); |
3943 | cfit->cd(); | |
3944 | projPRF->Fit("gaus","M+","",-fRangeFitPRF,fRangeFitPRF); | |
3945 | projPRF->Draw(); | |
55a288e5 | 3946 | } |
3a0f6479 | 3947 | fCurrentCoef[0] = projPRF->GetFunction("gaus")->GetParameter(2); |
3948 | fCurrentCoefE = projPRF->GetFunction("gaus")->GetParError(2); | |
3949 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
55a288e5 | 3950 | else { |
3a0f6479 | 3951 | fNumberFitSuccess++; |
55a288e5 | 3952 | } |
3a0f6479 | 3953 | } |
3954 | //_____________________________________________________________________________ | |
3955 | void AliTRDCalibraFit::RmsPRF(TH1 *projPRF) | |
3956 | { | |
3957 | // | |
3958 | // Fit methode for the sigma of the pad response function | |
3959 | // | |
3960 | fCurrentCoef[0] = 0.0; | |
3961 | fCurrentCoefE = 0.0; | |
3962 | if (fDebugLevel == 1) { | |
3963 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); | |
3964 | cfit->cd(); | |
3965 | projPRF->Draw(); | |
55a288e5 | 3966 | } |
3a0f6479 | 3967 | fCurrentCoef[0] = projPRF->GetRMS(); |
3968 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
3969 | else { | |
3970 | fNumberFitSuccess++; | |
55a288e5 | 3971 | } |
55a288e5 | 3972 | } |
55a288e5 | 3973 | //_____________________________________________________________________________ |
3a0f6479 | 3974 | void AliTRDCalibraFit::FitTnpRange(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nbg, Int_t nybins) |
55a288e5 | 3975 | { |
3976 | // | |
3a0f6479 | 3977 | // Fit methode for the sigma of the pad response function with 2*nbg tan bins |
55a288e5 | 3978 | // |
3979 | ||
3a0f6479 | 3980 | TLinearFitter linearfitter = TLinearFitter(3,"pol2"); |
55a288e5 | 3981 | |
55a288e5 | 3982 | |
3a0f6479 | 3983 | Int_t nbins = (Int_t)(nybins/(2*nbg)); |
3984 | Float_t lowedge = -3.0*nbg; | |
3985 | Float_t upedge = lowedge + 3.0; | |
3986 | Int_t offset = 0; | |
3987 | Int_t npoints = 0; | |
3988 | Double_t xvalues = -0.2*nbg+0.1; | |
3989 | Double_t y = 0.0; | |
3990 | Int_t total = 2*nbg; | |
55a288e5 | 3991 | |
3a0f6479 | 3992 | |
3993 | for(Int_t k = 0; k < total; k++){ | |
3994 | if(FitPRFGausMI(arraye+offset, arraym+offset, arrayme+offset, nbins, lowedge, upedge)){ | |
3995 | npoints++; | |
3996 | y = fCurrentCoef[0]*fCurrentCoef[0]; | |
3997 | linearfitter.AddPoint(&xvalues,y,2*fCurrentCoefE*fCurrentCoef[0]); | |
3998 | } | |
3999 | ||
4000 | if(fDebugLevel > 1){ | |
4001 | ||
4002 | if ( !fDebugStreamer ) { | |
4003 | //debug stream | |
4004 | TDirectory *backup = gDirectory; | |
4005 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
4006 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
4007 | } | |
4008 | ||
4009 | Int_t detector = fCountDet; | |
4010 | Int_t plane = GetPlane(fCountDet); | |
4011 | Int_t nbtotal = total; | |
4012 | Int_t group = k; | |
4013 | Float_t low = lowedge; | |
4014 | Float_t up = upedge; | |
4015 | Float_t tnp = xvalues; | |
4016 | Float_t wid = fCurrentCoef[0]; | |
4017 | Float_t widfE = fCurrentCoefE; | |
4018 | ||
4019 | (* fDebugStreamer) << "FitTnpRangeFill"<< | |
4020 | "detector="<<detector<< | |
4021 | "plane="<<plane<< | |
4022 | "nbtotal="<<nbtotal<< | |
4023 | "group="<<group<< | |
4024 | "low="<<low<< | |
4025 | "up="<<up<< | |
4026 | "offset="<<offset<< | |
4027 | "tnp="<<tnp<< | |
4028 | "wid="<<wid<< | |
4029 | "widfE="<<widfE<< | |
4030 | "\n"; | |
4031 | } | |
4032 | ||
4033 | offset += nbins; | |
4034 | lowedge += 3.0; | |
4035 | upedge += 3.0; | |
4036 | xvalues += 0.2; | |
4037 | ||
4038 | } | |
4039 | ||
4040 | fCurrentCoefE = 0.0; | |
4041 | fCurrentCoef[0] = 0.0; | |
4042 | ||
4043 | //printf("npoints\n",npoints); | |
4044 | ||
4045 | if(npoints < 3){ | |
4046 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4047 | } | |
4048 | else{ | |
4049 | ||
4050 | TVectorD pars0; | |
4051 | linearfitter.Eval(); | |
4052 | linearfitter.GetParameters(pars0); | |
4053 | Double_t pointError0 = TMath::Sqrt(linearfitter.GetChisquare()/npoints); | |
4054 | Double_t errorsx0 = linearfitter.GetParError(2)*pointError0; | |
4055 | Double_t min0 = 0.0; | |
4056 | Double_t ermin0 = 0.0; | |
4057 | //Double_t prfe0 = 0.0; | |
4058 | Double_t prf0 = 0.0; | |
4059 | if((pars0[2] > 0.0) && (pars0[1] != 0.0)) { | |
4060 | min0 = -pars0[1]/(2*pars0[2]); | |
4061 | ermin0 = TMath::Abs(min0*(errorsx0/pars0[2]+linearfitter.GetParError(1)*pointError0/pars0[1])); | |
4062 | prf0 = pars0[0]+pars0[1]*min0+pars0[2]*min0*min0; | |
4063 | if(prf0 > 0.0) { | |
4064 | /* | |
4065 | prfe0 = linearfitter->GetParError(0)*pointError0 | |
4066 | +(linearfitter->GetParError(1)*pointError0/pars0[1]+ermin0/min0)*pars0[1]*min0 | |
4067 | +(linearfitter->GetParError(2)*pointError0/pars0[2]+2*ermin0/min0)*pars0[2]*min0*min0; | |
4068 | prfe0 = prfe0/(2*TMath::Sqrt(prf0)); | |
4069 | fCurrentCoefE = (Float_t) prfe0; | |
4070 | */ | |
4071 | fCurrentCoef[0] = (Float_t) TMath::Sqrt(TMath::Abs(prf0)); | |
4072 | } | |
4073 | else{ | |
4074 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4075 | } | |
4076 | } | |
4077 | else { | |
4078 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4079 | } | |
55a288e5 | 4080 | |
3a0f6479 | 4081 | if(fDebugLevel > 1){ |
4082 | ||
4083 | if ( !fDebugStreamer ) { | |
4084 | //debug stream | |
4085 | TDirectory *backup = gDirectory; | |
4086 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
4087 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
4088 | } | |
4089 | ||
4090 | Int_t detector = fCountDet; | |
4091 | Int_t plane = GetPlane(fCountDet); | |
4092 | Int_t nbtotal = total; | |
4093 | Double_t colsize[6] = {0.635,0.665,0.695,0.725,0.755,0.785}; | |
4094 | Double_t sigmax = TMath::Sqrt(TMath::Abs(pars0[2]))*10000*colsize[plane]; | |
4095 | ||
4096 | (* fDebugStreamer) << "FitTnpRangeFit"<< | |
4097 | "detector="<<detector<< | |
4098 | "plane="<<plane<< | |
4099 | "nbtotal="<<nbtotal<< | |
4100 | "par0="<<pars0[0]<< | |
4101 | "par1="<<pars0[1]<< | |
4102 | "par2="<<pars0[2]<< | |
4103 | "npoints="<<npoints<< | |
4104 | "sigmax="<<sigmax<< | |
4105 | "tan="<<min0<< | |
4106 | "sigmaprf="<<fCurrentCoef[0]<< | |
4107 | "sigprf="<<fCurrentCoef[1]<< | |
4108 | "\n"; | |
4109 | } | |
4110 | ||
55a288e5 | 4111 | } |
4112 | ||
4113 | } | |
55a288e5 | 4114 | //_____________________________________________________________________________ |
3a0f6479 | 4115 | void AliTRDCalibraFit::FitMean(TH1 *projch, Double_t nentries, Double_t mean) |
55a288e5 | 4116 | { |
4117 | // | |
4118 | // Only mean methode for the gain factor | |
4119 | // | |
4120 | ||
3a0f6479 | 4121 | fCurrentCoef[0] = mean; |
4122 | fCurrentCoefE = 0.0; | |
4123 | if(nentries > 0) fCurrentCoefE = projch->GetRMS()/TMath::Sqrt(nentries); | |
4124 | if (fDebugLevel == 1) { | |
55a288e5 | 4125 | TCanvas *cpmean = new TCanvas("cpmean","cpmean",50,50,600,800); |
4126 | cpmean->cd(); | |
4127 | projch->Draw(); | |
4128 | } | |
3a0f6479 | 4129 | CalculChargeCoefMean(kTRUE); |
4130 | fNumberFitSuccess++; | |
55a288e5 | 4131 | } |
55a288e5 | 4132 | //_____________________________________________________________________________ |
3a0f6479 | 4133 | void AliTRDCalibraFit::FitMeanW(TH1 *projch, Double_t nentries) |
55a288e5 | 4134 | { |
4135 | // | |
4136 | // mean w methode for the gain factor | |
4137 | // | |
4138 | ||
4139 | //Number of bins | |
4140 | Int_t nybins = projch->GetNbinsX(); | |
4141 | ||
4142 | //The weight function | |
4143 | Double_t a = 0.00228515; | |
4144 | Double_t b = -0.00231487; | |
4145 | Double_t c = 0.00044298; | |
4146 | Double_t d = -0.00379239; | |
4147 | Double_t e = 0.00338349; | |
4148 | ||
3a0f6479 | 4149 | // 0 |0.00228515 |
4150 | // 1 |-0.00231487 | |
4151 | // 2 |0.00044298 | |
4152 | // 3 |-0.00379239 | |
4153 | // 4 |0.00338349 | |
4154 | ||
4155 | ||
55a288e5 | 4156 | |
4157 | //A arbitrary error for the moment | |
3a0f6479 | 4158 | fCurrentCoefE = 0.0; |
4159 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 4160 | |
4161 | //Calcul | |
4162 | Double_t sumw = 0.0; | |
4163 | Double_t sum = 0.0; | |
3a0f6479 | 4164 | Float_t sumAll = (Float_t) nentries; |
55a288e5 | 4165 | Int_t sumCurrent = 0; |
4166 | for(Int_t k = 0; k <nybins; k++){ | |
4167 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
4168 | if (fraction>0.95) break; | |
4169 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
4170 | e*fraction*fraction*fraction*fraction; | |
4171 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
4172 | sum += weight*projch->GetBinContent(k+1); | |
4173 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
4174 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
4175 | } | |
3a0f6479 | 4176 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 4177 | |
3a0f6479 | 4178 | if (fDebugLevel == 1) { |
55a288e5 | 4179 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); |
4180 | cpmeanw->cd(); | |
4181 | projch->Draw(); | |
4182 | } | |
3a0f6479 | 4183 | fNumberFitSuccess++; |
4184 | CalculChargeCoefMean(kTRUE); | |
4185 | } | |
4186 | //_____________________________________________________________________________ | |
4187 | void AliTRDCalibraFit::FitMeanWSm(TH1 *projch, Float_t sumAll) | |
4188 | { | |
4189 | // | |
4190 | // mean w methode for the gain factor | |
4191 | // | |
4192 | ||
4193 | //Number of bins | |
4194 | Int_t nybins = projch->GetNbinsX(); | |
4195 | ||
4196 | //The weight function | |
4197 | Double_t a = 0.00228515; | |
4198 | Double_t b = -0.00231487; | |
4199 | Double_t c = 0.00044298; | |
4200 | Double_t d = -0.00379239; | |
4201 | Double_t e = 0.00338349; | |
4202 | ||
4203 | // 0 |0.00228515 | |
4204 | // 1 |-0.00231487 | |
4205 | // 2 |0.00044298 | |
4206 | // 3 |-0.00379239 | |
4207 | // 4 |0.00338349 | |
4208 | ||
4209 | ||
4210 | ||
4211 | //A arbitrary error for the moment | |
4212 | fCurrentCoefE = 0.0; | |
4213 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 4214 | |
3a0f6479 | 4215 | //Calcul |
4216 | Double_t sumw = 0.0; | |
4217 | Double_t sum = 0.0; | |
4218 | Int_t sumCurrent = 0; | |
4219 | for(Int_t k = 0; k <nybins; k++){ | |
4220 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
4221 | if (fraction>0.95) break; | |
4222 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
4223 | e*fraction*fraction*fraction*fraction; | |
4224 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
4225 | sum += weight*projch->GetBinContent(k+1); | |
4226 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
4227 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
55a288e5 | 4228 | } |
3a0f6479 | 4229 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 4230 | |
3a0f6479 | 4231 | if (fDebugLevel == 1) { |
4232 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); | |
4233 | cpmeanw->cd(); | |
4234 | projch->Draw(); | |
4235 | } | |
4236 | fNumberFitSuccess++; | |
55a288e5 | 4237 | } |
55a288e5 | 4238 | //_____________________________________________________________________________ |
3a0f6479 | 4239 | void AliTRDCalibraFit::FitCH(TH1 *projch, Double_t mean) |
55a288e5 | 4240 | { |
4241 | // | |
4242 | // Fit methode for the gain factor | |
4243 | // | |
4244 | ||
3a0f6479 | 4245 | fCurrentCoef[0] = 0.0; |
4246 | fCurrentCoefE = 0.0; | |
55a288e5 | 4247 | Double_t chisqrl = 0.0; |
4248 | Double_t chisqrg = 0.0; | |
3a0f6479 | 4249 | Double_t chisqr = 0.0; |
55a288e5 | 4250 | TF1 *fLandauGaus = new TF1("fLandauGaus",FuncLandauGaus,0,300,5); |
4251 | ||
4252 | projch->Fit("landau","0","" | |
3a0f6479 | 4253 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 4254 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4255 | Double_t l3P0 = projch->GetFunction("landau")->GetParameter(0); | |
4256 | Double_t l3P1 = projch->GetFunction("landau")->GetParameter(1); | |
4257 | Double_t l3P2 = projch->GetFunction("landau")->GetParameter(2); | |
4258 | chisqrl = projch->GetFunction("landau")->GetChisquare(); | |
4259 | ||
4260 | projch->Fit("gaus","0","" | |
3a0f6479 | 4261 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 4262 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4263 | Double_t g3P0 = projch->GetFunction("gaus")->GetParameter(0); | |
4264 | Double_t g3P2 = projch->GetFunction("gaus")->GetParameter(2); | |
4265 | chisqrg = projch->GetFunction("gaus")->GetChisquare(); | |
4266 | ||
4267 | fLandauGaus->SetParameters(l3P0,l3P1,l3P2,g3P0,g3P2); | |
3a0f6479 | 4268 | if (fDebugLevel != 1) { |
55a288e5 | 4269 | projch->Fit("fLandauGaus","0","" |
3a0f6479 | 4270 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 4271 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4272 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
3a0f6479 | 4273 | } |
4274 | else { | |
55a288e5 | 4275 | TCanvas *cp = new TCanvas("cp","cp",50,50,600,800); |
4276 | cp->cd(); | |
4277 | projch->Fit("fLandauGaus","+","" | |
3a0f6479 | 4278 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 4279 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4280 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
4281 | projch->Draw(); | |
4282 | fLandauGaus->Draw("same"); | |
4283 | } | |
4284 | ||
3a0f6479 | 4285 | if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (projch->GetFunction("fLandauGaus")->GetParError(1) < (0.05*projch->GetFunction("fLandauGaus")->GetParameter(1))) && (chisqr < chisqrl) && (chisqr < chisqrg)) { |
4286 | //if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (chisqr < chisqrl) && (chisqr < chisqrg)) { | |
4287 | fNumberFitSuccess++; | |
4288 | CalculChargeCoefMean(kTRUE); | |
4289 | fCurrentCoef[0] = projch->GetFunction("fLandauGaus")->GetParameter(1); | |
4290 | fCurrentCoefE = projch->GetFunction("fLandauGaus")->GetParError(1); | |
55a288e5 | 4291 | } |
4292 | else { | |
3a0f6479 | 4293 | CalculChargeCoefMean(kFALSE); |
4294 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 4295 | } |
4296 | ||
3a0f6479 | 4297 | if (fDebugLevel != 1) { |
55a288e5 | 4298 | delete fLandauGaus; |
4299 | } | |
4300 | ||
4301 | } | |
55a288e5 | 4302 | //_____________________________________________________________________________ |
3a0f6479 | 4303 | void AliTRDCalibraFit::FitBisCH(TH1* projch, Double_t mean) |
55a288e5 | 4304 | { |
4305 | // | |
4306 | // Fit methode for the gain factor more time consuming | |
4307 | // | |
4308 | ||
3a0f6479 | 4309 | |
55a288e5 | 4310 | //Some parameters to initialise |
4311 | Double_t widthLandau, widthGaus, MPV, Integral; | |
4312 | Double_t chisquarel = 0.0; | |
4313 | Double_t chisquareg = 0.0; | |
55a288e5 | 4314 | projch->Fit("landau","0M+","" |
3a0f6479 | 4315 | ,(Double_t) mean/6 |
55a288e5 | 4316 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4317 | widthLandau = projch->GetFunction("landau")->GetParameter(2); | |
4318 | chisquarel = projch->GetFunction("landau")->GetChisquare(); | |
55a288e5 | 4319 | projch->Fit("gaus","0M+","" |
3a0f6479 | 4320 | ,(Double_t) mean/6 |
55a288e5 | 4321 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4322 | widthGaus = projch->GetFunction("gaus")->GetParameter(2); | |
4323 | chisquareg = projch->GetFunction("gaus")->GetChisquare(); | |
3a0f6479 | 4324 | |
4325 | MPV = (projch->GetFunction("landau")->GetParameter(1))/2; | |
4326 | Integral = (projch->GetFunction("gaus")->Integral(0.3*mean,3*mean)+projch->GetFunction("landau")->Integral(0.3*mean,3*mean))/2; | |
4327 | ||
55a288e5 | 4328 | // Setting fit range and start values |
4329 | Double_t fr[2]; | |
4330 | //Double_t sv[4] = { l3P2, fChargeCoef[1], projch->Integral("width"), fG3P2 }; | |
4331 | //Double_t sv[4] = { fL3P2, fChargeCoef[1], fL3P0, fG3P2 }; | |
4332 | Double_t sv[4] = { widthLandau, MPV, Integral, widthGaus}; | |
4333 | Double_t pllo[4] = { 0.001, 0.001, projch->Integral()/3, 0.001}; | |
4334 | Double_t plhi[4] = { 300.0, 300.0, 30*projch->Integral(), 300.0}; | |
4335 | Double_t fp[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
4336 | Double_t fpe[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
3a0f6479 | 4337 | fr[0] = 0.3 * mean; |
4338 | fr[1] = 3.0 * mean; | |
4339 | fCurrentCoef[0] = 0.0; | |
4340 | fCurrentCoefE = 0.0; | |
55a288e5 | 4341 | |
4342 | Double_t chisqr; | |
4343 | Int_t ndf; | |
4344 | TF1 *fitsnr = LanGauFit(projch,&fr[0],&sv[0] | |
4345 | ,&pllo[0],&plhi[0] | |
4346 | ,&fp[0],&fpe[0] | |
4347 | ,&chisqr,&ndf); | |
4348 | ||
4349 | Double_t projchPeak; | |
4350 | Double_t projchFWHM; | |
4351 | LanGauPro(fp,projchPeak,projchFWHM); | |
4352 | ||
4353 | if ((fp[1] > 0) && ((fpe[1] < (0.05*fp[1])) && (chisqr < chisquarel) && (chisqr < chisquareg))) { | |
4354 | //if ((fp[1] > 0) && ((chisqr < chisquarel) && (chisqr < chisquareg))) { | |
3a0f6479 | 4355 | fNumberFitSuccess++; |
4356 | CalculChargeCoefMean(kTRUE); | |
4357 | fCurrentCoef[0] = fp[1]; | |
4358 | fCurrentCoefE = fpe[1]; | |
55a288e5 | 4359 | //chargeCoefE2 = chisqr; |
4360 | } | |
4361 | else { | |
3a0f6479 | 4362 | CalculChargeCoefMean(kFALSE); |
4363 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 4364 | } |
3a0f6479 | 4365 | if (fDebugLevel == 1) { |
4366 | AliInfo(Form("fChargeCoef[0]: %f",(Float_t) fCurrentCoef[0])); | |
55a288e5 | 4367 | TCanvas *cpy = new TCanvas("cpy","cpy",50,50,600,800); |
4368 | cpy->cd(); | |
4369 | projch->Draw(); | |
4370 | fitsnr->Draw("same"); | |
4371 | } | |
3a0f6479 | 4372 | else { |
55a288e5 | 4373 | delete fitsnr; |
4374 | } | |
3a0f6479 | 4375 | } |
55a288e5 | 4376 | //_____________________________________________________________________________ |
4377 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange2(Double_t *x, Double_t *y) | |
4378 | { | |
4379 | // | |
4380 | // Calcul the coefficients of the polynome passant par ces trois points de degre 2 | |
4381 | // | |
3a0f6479 | 4382 | Double_t *c = new Double_t[5]; |
55a288e5 | 4383 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])); |
4384 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])); | |
4385 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])); | |
4386 | ||
4387 | c[4] = 0.0; | |
4388 | c[3] = 0.0; | |
4389 | c[2] = x0+x1+x2; | |
4390 | c[1] = -(x0*(x[1]+x[2])+x1*(x[0]+x[2])+x2*(x[0]+x[1])); | |
4391 | c[0] = x0*x[1]*x[2]+x1*x[0]*x[2]+x2*x[0]*x[1]; | |
4392 | ||
4393 | return c; | |
4394 | ||
3a0f6479 | 4395 | |
55a288e5 | 4396 | } |
4397 | ||
4398 | //_____________________________________________________________________________ | |
4399 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange3(Double_t *x, Double_t *y) | |
4400 | { | |
4401 | // | |
4402 | // Calcul the coefficients of the polynome passant par ces quatre points de degre 3 | |
4403 | // | |
55a288e5 | 4404 | Double_t *c = new Double_t[5]; |
4405 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])); | |
4406 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])); | |
4407 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])); | |
4408 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])); | |
4409 | ||
4410 | c[4] = 0.0; | |
4411 | c[3] = x0+x1+x2+x3; | |
4412 | c[2] = -(x0*(x[1]+x[2]+x[3]) | |
4413 | +x1*(x[0]+x[2]+x[3]) | |
4414 | +x2*(x[0]+x[1]+x[3]) | |
4415 | +x3*(x[0]+x[1]+x[2])); | |
4416 | c[1] = (x0*(x[1]*x[2]+x[1]*x[3]+x[2]*x[3]) | |
4417 | +x1*(x[0]*x[2]+x[0]*x[3]+x[2]*x[3]) | |
4418 | +x2*(x[0]*x[1]+x[0]*x[3]+x[1]*x[3]) | |
4419 | +x3*(x[0]*x[1]+x[0]*x[2]+x[1]*x[2])); | |
4420 | ||
4421 | c[0] = -(x0*x[1]*x[2]*x[3] | |
4422 | +x1*x[0]*x[2]*x[3] | |
4423 | +x2*x[0]*x[1]*x[3] | |
4424 | +x3*x[0]*x[1]*x[2]); | |
4425 | ||
3a0f6479 | 4426 | |
55a288e5 | 4427 | return c; |
3a0f6479 | 4428 | |
55a288e5 | 4429 | |
4430 | } | |
4431 | ||
4432 | //_____________________________________________________________________________ | |
4433 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange4(Double_t *x, Double_t *y) | |
4434 | { | |
4435 | // | |
4436 | // Calcul the coefficients of the polynome passant par ces cinqs points de degre 4 | |
4437 | // | |
55a288e5 | 4438 | Double_t *c = new Double_t[5]; |
4439 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])*(x[0]-x[4])); | |
4440 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])*(x[1]-x[4])); | |
4441 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])*(x[2]-x[4])); | |
4442 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])*(x[3]-x[4])); | |
4443 | Double_t x4 = y[4]/((x[4]-x[0])*(x[4]-x[1])*(x[4]-x[2])*(x[4]-x[3])); | |
3a0f6479 | 4444 | |
55a288e5 | 4445 | |
4446 | c[4] = x0+x1+x2+x3+x4; | |
4447 | c[3] = -(x0*(x[1]+x[2]+x[3]+x[4]) | |
4448 | +x1*(x[0]+x[2]+x[3]+x[4]) | |
4449 | +x2*(x[0]+x[1]+x[3]+x[4]) | |
4450 | +x3*(x[0]+x[1]+x[2]+x[4]) | |
4451 | +x4*(x[0]+x[1]+x[2]+x[3])); | |
4452 | 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]) | |
4453 | +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]) | |
4454 | +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]) | |
4455 | +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]) | |
4456 | +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])); | |
4457 | ||
4458 | 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]) | |
4459 | +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]) | |
4460 | +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]) | |
4461 | +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]) | |
4462 | +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])); | |
4463 | ||
4464 | c[0] = (x0*x[1]*x[2]*x[3]*x[4] | |
4465 | +x1*x[0]*x[2]*x[3]*x[4] | |
4466 | +x2*x[0]*x[1]*x[3]*x[4] | |
4467 | +x3*x[0]*x[1]*x[2]*x[4] | |
4468 | +x4*x[0]*x[1]*x[2]*x[3]); | |
4469 | ||
4470 | return c; | |
3a0f6479 | 4471 | |
55a288e5 | 4472 | |
4473 | } | |
55a288e5 | 4474 | //_____________________________________________________________________________ |
4475 | void AliTRDCalibraFit::NormierungCharge() | |
4476 | { | |
4477 | // | |
4478 | // Normalisation of the gain factor resulting for the fits | |
4479 | // | |
4480 | ||
4481 | // Calcul of the mean of choosen method by fFitChargeNDB | |
4482 | Double_t sum = 0.0; | |
4483 | //printf("total number of entries %d\n",fVectorFitCH->GetEntriesFast()); | |
3a0f6479 | 4484 | for (Int_t k = 0; k < (Int_t) fVectorFit.GetEntriesFast(); k++) { |
55a288e5 | 4485 | Int_t total = 0; |
3a0f6479 | 4486 | Int_t detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); |
4487 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
55a288e5 | 4488 | //printf("detector %d coef[0] %f\n",detector,coef[0]); |
4489 | if (GetChamber(detector) == 2) { | |
4490 | total = 1728; | |
4491 | } | |
4492 | if (GetChamber(detector) != 2) { | |
4493 | total = 2304; | |
4494 | } | |
4495 | for (Int_t j = 0; j < total; j++) { | |
4496 | if (coef[j] >= 0) { | |
4497 | sum += coef[j]; | |
4498 | } | |
4499 | } | |
4500 | } | |
4501 | ||
4502 | if (sum > 0) { | |
4503 | fScaleFitFactor = fScaleFitFactor / sum; | |
4504 | } | |
4505 | else { | |
4506 | fScaleFitFactor = 1.0; | |
3a0f6479 | 4507 | } |
55a288e5 | 4508 | |
3a0f6479 | 4509 | //methode de boeuf mais bon... |
4510 | Double_t scalefactor = fScaleFitFactor; | |
55a288e5 | 4511 | |
3a0f6479 | 4512 | if(fDebugLevel > 1){ |
4513 | ||
4514 | if ( !fDebugStreamer ) { | |
4515 | //debug stream | |
4516 | TDirectory *backup = gDirectory; | |
4517 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
4518 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
4519 | } | |
4520 | (* fDebugStreamer) << "ScaleFactor"<< | |
4521 | "scalefactor="<<scalefactor<< | |
4522 | "\n"; | |
4523 | } | |
55a288e5 | 4524 | } |
55a288e5 | 4525 | //_____________________________________________________________________________ |
4526 | TH1I *AliTRDCalibraFit::ReBin(TH1I *hist) const | |
4527 | { | |
4528 | // | |
4529 | // Rebin of the 1D histo for the gain calibration if needed. | |
4530 | // you have to choose fRebin, divider of fNumberBinCharge | |
4531 | // | |
4532 | ||
3a0f6479 | 4533 | TAxis *xhist = hist->GetXaxis(); |
4534 | TH1I *rehist = new TH1I("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
4535 | ,xhist->GetBinLowEdge(1) | |
4536 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
55a288e5 | 4537 | |
3a0f6479 | 4538 | AliInfo(Form("fRebin: %d",fRebin)); |
4539 | Int_t i = 1; | |
4540 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
4541 | Double_t sum = 0.0; | |
4542 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
4543 | sum += hist->GetBinContent(ji); | |
4544 | } | |
4545 | sum = sum / fRebin; | |
4546 | rehist->SetBinContent(k,sum); | |
4547 | i += fRebin; | |
4548 | } | |
55a288e5 | 4549 | |
3a0f6479 | 4550 | return rehist; |
55a288e5 | 4551 | |
4552 | } | |
4553 | ||
4554 | //_____________________________________________________________________________ | |
4555 | TH1F *AliTRDCalibraFit::ReBin(TH1F *hist) const | |
4556 | { | |
4557 | // | |
4558 | // Rebin of the 1D histo for the gain calibration if needed | |
4559 | // you have to choose fRebin divider of fNumberBinCharge | |
4560 | // | |
4561 | ||
4562 | TAxis *xhist = hist->GetXaxis(); | |
4563 | TH1F *rehist = new TH1F("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
4564 | ,xhist->GetBinLowEdge(1) | |
4565 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
4566 | ||
4567 | AliInfo(Form("fRebin: %d",fRebin)); | |
4568 | Int_t i = 1; | |
4569 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
4570 | Double_t sum = 0.0; | |
4571 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
4572 | sum += hist->GetBinContent(ji); | |
4573 | } | |
4574 | sum = sum/fRebin; | |
4575 | rehist->SetBinContent(k,sum); | |
4576 | i += fRebin; | |
4577 | } | |
4578 | ||
55a288e5 | 4579 | return rehist; |
4580 | ||
4581 | } | |
4582 | ||
4583 | //_____________________________________________________________________________ | |
4584 | TH1F *AliTRDCalibraFit::CorrectTheError(TGraphErrors *hist) | |
4585 | { | |
4586 | // | |
4587 | // In the case of the vectors method the trees contains TGraphErrors for PH and PRF | |
4588 | // to be able to add them after | |
4589 | // We convert it to a TH1F to be able to applied the same fit function method | |
4590 | // After having called this function you can not add the statistics anymore | |
4591 | // | |
4592 | ||
4593 | TH1F *rehist = 0x0; | |
4594 | ||
3a0f6479 | 4595 | Int_t nbins = hist->GetN(); |
55a288e5 | 4596 | Double_t *x = hist->GetX(); |
4597 | Double_t *entries = hist->GetEX(); | |
4598 | Double_t *mean = hist->GetY(); | |
4599 | Double_t *square = hist->GetEY(); | |
4600 | fEntriesCurrent = 0; | |
4601 | ||
4602 | if (nbins < 2) { | |
4603 | return rehist; | |
4604 | } | |
4605 | ||
4606 | Double_t step = x[1] - x[0]; | |
4607 | Double_t minvalue = x[0] - step/2; | |
4608 | Double_t maxvalue = x[(nbins-1)] + step/2; | |
4609 | ||
4610 | rehist = new TH1F("projcorrecterror","",nbins,minvalue,maxvalue); | |
4611 | ||
4612 | for (Int_t k = 0; k < nbins; k++) { | |
4613 | rehist->SetBinContent(k+1,mean[k]); | |
4614 | if (entries[k] > 0.0) { | |
4615 | fEntriesCurrent += (Int_t) entries[k]; | |
4616 | Double_t d = TMath::Abs(square[k] - (mean[k]*mean[k])); | |
4617 | rehist->SetBinError(k+1,TMath::Sqrt(d/entries[k])); | |
4618 | } | |
4619 | else { | |
4620 | rehist->SetBinError(k+1,0.0); | |
4621 | } | |
4622 | } | |
4623 | ||
3a0f6479 | 4624 | if(fEntriesCurrent > 0) fNumberEnt++; |
4625 | ||
55a288e5 | 4626 | return rehist; |
4627 | ||
4628 | } | |
55a288e5 | 4629 | // |
4630 | //____________Some basic geometry function_____________________________________ | |
4631 | // | |
4632 | ||
4633 | //_____________________________________________________________________________ | |
4634 | Int_t AliTRDCalibraFit::GetPlane(Int_t d) const | |
4635 | { | |
4636 | // | |
4637 | // Reconstruct the plane number from the detector number | |
4638 | // | |
4639 | ||
4640 | return ((Int_t) (d % 6)); | |
4641 | ||
4642 | } | |
4643 | ||
4644 | //_____________________________________________________________________________ | |
4645 | Int_t AliTRDCalibraFit::GetChamber(Int_t d) const | |
4646 | { | |
4647 | // | |
4648 | // Reconstruct the chamber number from the detector number | |
4649 | // | |
4650 | Int_t fgkNplan = 6; | |
4651 | ||
4652 | return ((Int_t) (d % 30) / fgkNplan); | |
4653 | ||
4654 | } | |
4655 | ||
4656 | //_____________________________________________________________________________ | |
4657 | Int_t AliTRDCalibraFit::GetSector(Int_t d) const | |
4658 | { | |
4659 | // | |
4660 | // Reconstruct the sector number from the detector number | |
4661 | // | |
4662 | Int_t fg = 30; | |
4663 | ||
4664 | return ((Int_t) (d / fg)); | |
4665 | ||
4666 | } | |
4667 | ||
4668 | // | |
4669 | //____________Fill and Init tree Gain, PRF, Vdrift and T0______________________ | |
4670 | // | |
3a0f6479 | 4671 | //_______________________________________________________________________________ |
4672 | void AliTRDCalibraFit::ResetVectorFit() | |
55a288e5 | 4673 | { |
3a0f6479 | 4674 | fVectorFit.SetOwner(); |
4675 | fVectorFit.Clear(); | |
4676 | fVectorFit2.SetOwner(); | |
4677 | fVectorFit2.Clear(); | |
55a288e5 | 4678 | |
55a288e5 | 4679 | } |
55a288e5 | 4680 | // |
4681 | //____________Private Functions________________________________________________ | |
4682 | // | |
4683 | ||
4684 | //_____________________________________________________________________________ | |
4685 | Double_t AliTRDCalibraFit::PH(Double_t *x, Double_t *par) | |
4686 | { | |
4687 | // | |
4688 | // Function for the fit | |
4689 | // | |
4690 | ||
4691 | //TF1 *fAsymmGauss = new TF1("fAsymmGauss",AsymmGauss,0,4,6); | |
4692 | ||
4693 | //PARAMETERS FOR FIT PH | |
4694 | // PASAv.4 | |
4695 | //fAsymmGauss->SetParameter(0,0.113755); | |
4696 | //fAsymmGauss->SetParameter(1,0.350706); | |
4697 | //fAsymmGauss->SetParameter(2,0.0604244); | |
4698 | //fAsymmGauss->SetParameter(3,7.65596); | |
4699 | //fAsymmGauss->SetParameter(4,1.00124); | |
4700 | //fAsymmGauss->SetParameter(5,0.870597); // No tail cancelation | |
4701 | ||
4702 | Double_t xx = x[0]; | |
4703 | ||
4704 | if (xx < par[1]) { | |
4705 | return par[5]; | |
4706 | } | |
4707 | ||
4708 | Double_t dx = 0.005; | |
4709 | Double_t xs = par[1]; | |
4710 | Double_t ss = 0.0; | |
4711 | Double_t paras[2] = { 0.0, 0.0 }; | |
4712 | ||
4713 | while (xs < xx) { | |
4714 | if ((xs >= par[1]) && | |
4715 | (xs < (par[1]+par[2]))) { | |
4716 | //fAsymmGauss->SetParameter(0,par[0]); | |
4717 | //fAsymmGauss->SetParameter(1,xs); | |
4718 | //ss += fAsymmGauss->Eval(xx); | |
4719 | paras[0] = par[0]; | |
4720 | paras[1] = xs; | |
4721 | ss += AsymmGauss(&xx,paras); | |
4722 | } | |
4723 | if ((xs >= (par[1]+par[2])) && | |
4724 | (xs < (par[1]+par[2]+par[3]))) { | |
4725 | //fAsymmGauss->SetParameter(0,par[0]*par[4]); | |
4726 | //fAsymmGauss->SetParameter(1,xs); | |
4727 | //ss += fAsymmGauss->Eval(xx); | |
4728 | paras[0] = par[0]*par[4]; | |
4729 | paras[1] = xs; | |
4730 | ss += AsymmGauss(&xx,paras); | |
4731 | } | |
4732 | xs += dx; | |
4733 | } | |
4734 | ||
4735 | return ss + par[5]; | |
4736 | ||
4737 | } | |
4738 | ||
4739 | //_____________________________________________________________________________ | |
4740 | Double_t AliTRDCalibraFit::AsymmGauss(Double_t *x, Double_t *par) | |
4741 | { | |
4742 | // | |
4743 | // Function for the fit | |
4744 | // | |
4745 | ||
4746 | //par[0] = normalization | |
4747 | //par[1] = mean | |
4748 | //par[2] = sigma | |
4749 | //norm0 = 1 | |
4750 | //par[3] = lambda0 | |
4751 | //par[4] = norm1 | |
4752 | //par[5] = lambda1 | |
4753 | ||
4754 | Double_t par1save = par[1]; | |
4755 | //Double_t par2save = par[2]; | |
4756 | Double_t par2save = 0.0604244; | |
4757 | //Double_t par3save = par[3]; | |
4758 | Double_t par3save = 7.65596; | |
4759 | //Double_t par5save = par[5]; | |
4760 | Double_t par5save = 0.870597; | |
4761 | Double_t dx = x[0] - par1save; | |
4762 | ||
4763 | Double_t sigma2 = par2save*par2save; | |
4764 | Double_t sqrt2 = TMath::Sqrt(2.0); | |
4765 | Double_t exp1 = par3save * TMath::Exp(-par3save * (dx - 0.5 * par3save * sigma2)) | |
4766 | * (1.0 - TMath::Erf((par3save * sigma2 - dx) / (sqrt2 * par2save))); | |
4767 | Double_t exp2 = par5save * TMath::Exp(-par5save * (dx - 0.5 * par5save * sigma2)) | |
4768 | * (1.0 - TMath::Erf((par5save * sigma2 - dx) / (sqrt2 * par2save))); | |
4769 | ||
4770 | //return par[0]*(exp1+par[4]*exp2); | |
4771 | return par[0] * (exp1 + 1.00124 * exp2); | |
4772 | ||
4773 | } | |
4774 | ||
4775 | //_____________________________________________________________________________ | |
4776 | Double_t AliTRDCalibraFit::FuncLandauGaus(Double_t *x, Double_t *par) | |
4777 | { | |
4778 | // | |
4779 | // Sum Landau + Gaus with identical mean | |
4780 | // | |
4781 | ||
4782 | Double_t valLandau = par[0] * TMath::Landau(x[0],par[1],par[2]); | |
4783 | //Double_t valGaus = par[3] * TMath::Gaus(x[0],par[4],par[5]); | |
4784 | Double_t valGaus = par[3] * TMath::Gaus(x[0],par[1],par[4]); | |
4785 | Double_t val = valLandau + valGaus; | |
4786 | ||
4787 | return val; | |
4788 | ||
4789 | } | |
4790 | ||
4791 | //_____________________________________________________________________________ | |
4792 | Double_t AliTRDCalibraFit::LanGauFun(Double_t *x, Double_t *par) | |
4793 | { | |
4794 | // | |
4795 | // Function for the fit | |
4796 | // | |
4797 | // Fit parameters: | |
4798 | // par[0]=Width (scale) parameter of Landau density | |
4799 | // par[1]=Most Probable (MP, location) parameter of Landau density | |
4800 | // par[2]=Total area (integral -inf to inf, normalization constant) | |
4801 | // par[3]=Width (sigma) of convoluted Gaussian function | |
4802 | // | |
4803 | // In the Landau distribution (represented by the CERNLIB approximation), | |
4804 | // the maximum is located at x=-0.22278298 with the location parameter=0. | |
4805 | // This shift is corrected within this function, so that the actual | |
4806 | // maximum is identical to the MP parameter. | |
4807 | // | |
4808 | ||
4809 | // Numeric constants | |
4810 | Double_t invsq2pi = 0.3989422804014; // (2 pi)^(-1/2) | |
4811 | Double_t mpshift = -0.22278298; // Landau maximum location | |
4812 | ||
4813 | // Control constants | |
4814 | Double_t np = 100.0; // Number of convolution steps | |
4815 | Double_t sc = 5.0; // Convolution extends to +-sc Gaussian sigmas | |
4816 | ||
4817 | // Variables | |
4818 | Double_t xx; | |
4819 | Double_t mpc; | |
4820 | Double_t fland; | |
4821 | Double_t sum = 0.0; | |
4822 | Double_t xlow; | |
4823 | Double_t xupp; | |
4824 | Double_t step; | |
4825 | Double_t i; | |
4826 | ||
4827 | // MP shift correction | |
4828 | mpc = par[1] - mpshift * par[0]; | |
4829 | ||
4830 | // Range of convolution integral | |
4831 | xlow = x[0] - sc * par[3]; | |
4832 | xupp = x[0] + sc * par[3]; | |
4833 | ||
4834 | step = (xupp - xlow) / np; | |
4835 | ||
4836 | // Convolution integral of Landau and Gaussian by sum | |
4837 | for (i = 1.0; i <= np/2; i++) { | |
4838 | ||
4839 | xx = xlow + (i-.5) * step; | |
4840 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
4841 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
4842 | ||
4843 | xx = xupp - (i-.5) * step; | |
4844 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
4845 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
4846 | ||
4847 | } | |
4848 | ||
4849 | return (par[2] * step * sum * invsq2pi / par[3]); | |
4850 | ||
4851 | } | |
55a288e5 | 4852 | //_____________________________________________________________________________ |
4853 | TF1 *AliTRDCalibraFit::LanGauFit(TH1 *his, Double_t *fitrange, Double_t *startvalues | |
4854 | , Double_t *parlimitslo, Double_t *parlimitshi | |
4855 | , Double_t *fitparams, Double_t *fiterrors | |
4856 | , Double_t *chiSqr, Int_t *ndf) | |
4857 | { | |
4858 | // | |
4859 | // Function for the fit | |
4860 | // | |
4861 | ||
4862 | Int_t i; | |
4863 | Char_t funname[100]; | |
4864 | ||
4865 | TF1 *ffitold = (TF1 *) gROOT->GetListOfFunctions()->FindObject(funname); | |
4866 | if (ffitold) { | |
4867 | delete ffitold; | |
4868 | } | |
4869 | ||
4870 | TF1 *ffit = new TF1(funname,LanGauFun,fitrange[0],fitrange[1],4); | |
4871 | ffit->SetParameters(startvalues); | |
4872 | ffit->SetParNames("Width","MP","Area","GSigma"); | |
4873 | ||
4874 | for (i = 0; i < 4; i++) { | |
4875 | ffit->SetParLimits(i,parlimitslo[i],parlimitshi[i]); | |
4876 | } | |
4877 | ||
4878 | his->Fit(funname,"RB0"); // Fit within specified range, use ParLimits, do not plot | |
4879 | ||
4880 | ffit->GetParameters(fitparams); // Obtain fit parameters | |
4881 | for (i = 0; i < 4; i++) { | |
4882 | fiterrors[i] = ffit->GetParError(i); // Obtain fit parameter errors | |
4883 | } | |
4884 | chiSqr[0] = ffit->GetChisquare(); // Obtain chi^2 | |
4885 | ndf[0] = ffit->GetNDF(); // Obtain ndf | |
4886 | ||
4887 | return (ffit); // Return fit function | |
4888 | ||
4889 | } | |
4890 | ||
4891 | //_____________________________________________________________________________ | |
4892 | Int_t AliTRDCalibraFit::LanGauPro(Double_t *params, Double_t &maxx, Double_t &fwhm) | |
4893 | { | |
4894 | // | |
4895 | // Function for the fit | |
4896 | // | |
4897 | ||
4898 | Double_t p; | |
4899 | Double_t x; | |
4900 | Double_t fy; | |
4901 | Double_t fxr; | |
4902 | Double_t fxl; | |
4903 | Double_t step; | |
4904 | Double_t l; | |
4905 | Double_t lold; | |
4906 | ||
4907 | Int_t i = 0; | |
4908 | Int_t maxcalls = 10000; | |
4909 | ||
4910 | // Search for maximum | |
4911 | p = params[1] - 0.1 * params[0]; | |
4912 | step = 0.05 * params[0]; | |
4913 | lold = -2.0; | |
4914 | l = -1.0; | |
4915 | ||
4916 | while ((l != lold) && (i < maxcalls)) { | |
4917 | i++; | |
4918 | lold = l; | |
4919 | x = p + step; | |
4920 | l = LanGauFun(&x,params); | |
4921 | if (l < lold) { | |
4922 | step = -step / 10.0; | |
4923 | } | |
4924 | p += step; | |
4925 | } | |
4926 | ||
4927 | if (i == maxcalls) { | |
4928 | return (-1); | |
4929 | } | |
4930 | maxx = x; | |
4931 | fy = l / 2.0; | |
4932 | ||
4933 | // Search for right x location of fy | |
4934 | p = maxx + params[0]; | |
4935 | step = params[0]; | |
4936 | lold = -2.0; | |
4937 | l = -1e300; | |
4938 | i = 0; | |
4939 | ||
4940 | while ( (l != lold) && (i < maxcalls) ) { | |
4941 | i++; | |
4942 | ||
4943 | lold = l; | |
4944 | x = p + step; | |
4945 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
4946 | ||
4947 | if (l > lold) | |
4948 | step = -step/10; | |
4949 | ||
4950 | p += step; | |
4951 | } | |
4952 | ||
4953 | if (i == maxcalls) | |
4954 | return (-2); | |
4955 | ||
4956 | fxr = x; | |
4957 | ||
3a0f6479 | 4958 | |
55a288e5 | 4959 | // Search for left x location of fy |
4960 | ||
4961 | p = maxx - 0.5 * params[0]; | |
4962 | step = -params[0]; | |
4963 | lold = -2.0; | |
4964 | l = -1.0e300; | |
4965 | i = 0; | |
4966 | ||
4967 | while ((l != lold) && (i < maxcalls)) { | |
4968 | i++; | |
4969 | lold = l; | |
4970 | x = p + step; | |
4971 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
4972 | if (l > lold) { | |
4973 | step = -step / 10.0; | |
4974 | } | |
4975 | p += step; | |
4976 | } | |
4977 | ||
4978 | if (i == maxcalls) { | |
4979 | return (-3); | |
4980 | } | |
4981 | ||
4982 | fxl = x; | |
4983 | fwhm = fxr - fxl; | |
4984 | ||
4985 | return (0); | |
55a288e5 | 4986 | } |
55a288e5 | 4987 | //_____________________________________________________________________________ |
4988 | Double_t AliTRDCalibraFit::GausConstant(Double_t *x, Double_t *par) | |
4989 | { | |
4990 | // | |
4991 | // Gaus with identical mean | |
4992 | // | |
4993 | ||
3a0f6479 | 4994 | Double_t Gauss = par[0] * TMath::Gaus(x[0],0.0,par[1])+par[2]; |
55a288e5 | 4995 | |
3a0f6479 | 4996 | return Gauss; |
55a288e5 | 4997 | |
4998 | } |