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55a288e5 | 1 | /************************************************************************** |
2 | * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * | |
3 | * * | |
4 | * Author: The ALICE Off-line Project. * | |
5 | * Contributors are mentioned in the code where appropriate. * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
8 | * documentation strictly for non-commercial purposes is hereby granted * | |
9 | * without fee, provided that the above copyright notice appears in all * | |
10 | * copies and that both the copyright notice and this permission notice * | |
11 | * appear in the supporting documentation. The authors make no claims * | |
12 | * about the suitability of this software for any purpose. It is * | |
13 | * provided "as is" without express or implied warranty. * | |
14 | **************************************************************************/ | |
15 | ||
16 | /* $Id$ */ | |
17 | ||
18 | ///////////////////////////////////////////////////////////////////////////////// | |
19 | // | |
20 | // AliTRDCalibraFit | |
21 | // | |
22 | // This class is for the TRD calibration of the relative gain factor, the drift velocity, | |
23 | // the time 0 and the pad response function. It fits the histos. | |
24 | // The 2D histograms or vectors (first converted in 1D histos) will be fitted | |
25 | // if they have enough entries, otherwise the (default) value of the choosen database | |
26 | // will be put. For the relative gain calibration the resulted factors will be globally | |
27 | // normalized to the gain factors of the choosen database. It unables to precise | |
28 | // previous calibration procedure. | |
29 | // The function SetDebug enables the user to see: | |
30 | // _fDebug = 0: nothing, only the values are written in the tree if wanted | |
31 | // _fDebug = 1: a comparaison of the coefficients found and the default values | |
32 | // in the choosen database. | |
33 | // fCoef , histogram of the coefs as function of the calibration group number | |
34 | // fDelta , histogram of the relative difference of the coef with the default | |
35 | // value in the database as function of the calibration group number | |
36 | // fError , dirstribution of this relative difference | |
37 | // _fDebug = 2: only the fit of the choosen calibration group fFitVoir (SetFitVoir) | |
38 | // _fDebug = 3: The coefficients in the choosen detector fDet (SetDet) as function of the | |
39 | // pad row and col number | |
40 | // _fDebug = 4; The coeffcicients in the choosen detector fDet (SetDet) like in the 3 but with | |
41 | // also the comparaison histograms of the 1 for this detector | |
42 | // | |
43 | // | |
44 | // Author: | |
45 | // R. Bailhache (R.Bailhache@gsi.de) | |
46 | // | |
47 | ////////////////////////////////////////////////////////////////////////////////////// | |
48 | ||
55a288e5 | 49 | #include <TLine.h> |
50 | #include <TH1I.h> | |
51 | #include <TStyle.h> | |
52 | #include <TProfile2D.h> | |
55a288e5 | 53 | #include <TCanvas.h> |
54 | #include <TGraphErrors.h> | |
55a288e5 | 55 | #include <TObjArray.h> |
56 | #include <TH1.h> | |
57 | #include <TH1F.h> | |
58 | #include <TF1.h> | |
55a288e5 | 59 | #include <TAxis.h> |
55a288e5 | 60 | #include <TMath.h> |
55a288e5 | 61 | #include <TDirectory.h> |
62 | #include <TROOT.h> | |
3a0f6479 | 63 | #include <TTreeStream.h> |
64 | #include <TLinearFitter.h> | |
65 | #include <TVectorD.h> | |
66 | #include <TArrayF.h> | |
55a288e5 | 67 | |
68 | #include "AliLog.h" | |
3a0f6479 | 69 | #include "AliMathBase.h" |
55a288e5 | 70 | |
71 | #include "AliTRDCalibraFit.h" | |
72 | #include "AliTRDCalibraMode.h" | |
73 | #include "AliTRDCalibraVector.h" | |
3a0f6479 | 74 | #include "AliTRDCalibraVdriftLinearFit.h" |
55a288e5 | 75 | #include "AliTRDcalibDB.h" |
76 | #include "AliTRDgeometry.h" | |
3a0f6479 | 77 | #include "AliTRDpadPlane.h" |
78 | #include "AliTRDgeometry.h" | |
55a288e5 | 79 | #include "./Cal/AliTRDCalROC.h" |
80 | #include "./Cal/AliTRDCalPad.h" | |
81 | #include "./Cal/AliTRDCalDet.h" | |
82 | ||
83 | ||
84 | ClassImp(AliTRDCalibraFit) | |
85 | ||
86 | AliTRDCalibraFit* AliTRDCalibraFit::fgInstance = 0; | |
87 | Bool_t AliTRDCalibraFit::fgTerminated = kFALSE; | |
88 | ||
89 | //_____________singleton implementation_________________________________________________ | |
90 | AliTRDCalibraFit *AliTRDCalibraFit::Instance() | |
91 | { | |
92 | // | |
93 | // Singleton implementation | |
94 | // | |
95 | ||
96 | if (fgTerminated != kFALSE) { | |
97 | return 0; | |
98 | } | |
99 | ||
100 | if (fgInstance == 0) { | |
101 | fgInstance = new AliTRDCalibraFit(); | |
102 | } | |
103 | ||
104 | return fgInstance; | |
105 | ||
106 | } | |
107 | ||
108 | //______________________________________________________________________________________ | |
109 | void AliTRDCalibraFit::Terminate() | |
110 | { | |
111 | // | |
112 | // Singleton implementation | |
113 | // Deletes the instance of this class | |
114 | // | |
115 | ||
116 | fgTerminated = kTRUE; | |
117 | ||
118 | if (fgInstance != 0) { | |
119 | delete fgInstance; | |
120 | fgInstance = 0; | |
121 | } | |
122 | ||
123 | } | |
124 | ||
125 | //______________________________________________________________________________________ | |
126 | AliTRDCalibraFit::AliTRDCalibraFit() | |
127 | :TObject() | |
f162af62 | 128 | ,fGeo(0) |
3a0f6479 | 129 | ,fNumberOfBinsExpected(0) |
130 | ,fMethod(0) | |
131 | ,fBeginFitCharge(3.5) | |
132 | ,fFitPHPeriode(1) | |
413153cb | 133 | ,fTakeTheMaxPH(kTRUE) |
134 | ,fT0Shift0(0.124797) | |
135 | ,fT0Shift1(0.267451) | |
3a0f6479 | 136 | ,fRangeFitPRF(1.0) |
55a288e5 | 137 | ,fAccCDB(kFALSE) |
3a0f6479 | 138 | ,fMinEntries(800) |
139 | ,fRebin(1) | |
55a288e5 | 140 | ,fNumberFit(0) |
141 | ,fNumberFitSuccess(0) | |
142 | ,fNumberEnt(0) | |
143 | ,fStatisticMean(0.0) | |
3a0f6479 | 144 | ,fDebugStreamer(0x0) |
145 | ,fDebugLevel(0) | |
55a288e5 | 146 | ,fFitVoir(0) |
3a0f6479 | 147 | ,fMagneticField(0.5) |
148 | ,fCalibraMode(new AliTRDCalibraMode()) | |
149 | ,fCurrentCoefE(0.0) | |
150 | ,fCurrentCoefE2(0.0) | |
151 | ,fDect1(0) | |
152 | ,fDect2(0) | |
55a288e5 | 153 | ,fScaleFitFactor(0.0) |
154 | ,fEntriesCurrent(0) | |
3a0f6479 | 155 | ,fCountDet(0) |
156 | ,fCount(0) | |
157 | ,fCalDet(0x0) | |
158 | ,fCalROC(0x0) | |
159 | ,fCalDet2(0x0) | |
160 | ,fCalROC2(0x0) | |
161 | ,fCurrentCoefDetector(0x0) | |
162 | ,fCurrentCoefDetector2(0x0) | |
163 | ,fVectorFit(0) | |
164 | ,fVectorFit2(0) | |
55a288e5 | 165 | { |
166 | // | |
167 | // Default constructor | |
168 | // | |
169 | ||
3a0f6479 | 170 | fGeo = new AliTRDgeometry(); |
171 | ||
172 | // Current variables initialised | |
173 | for (Int_t k = 0; k < 2; k++) { | |
174 | fCurrentCoef[k] = 0.0; | |
175 | fCurrentCoef2[k] = 0.0; | |
55a288e5 | 176 | } |
55a288e5 | 177 | for (Int_t i = 0; i < 3; i++) { |
3a0f6479 | 178 | fPhd[i] = 0.0; |
179 | fDet[i] = 0; | |
55a288e5 | 180 | } |
3a0f6479 | 181 | |
55a288e5 | 182 | } |
55a288e5 | 183 | //______________________________________________________________________________________ |
184 | AliTRDCalibraFit::AliTRDCalibraFit(const AliTRDCalibraFit &c) | |
3a0f6479 | 185 | :TObject(c) |
186 | ,fGeo(0) | |
187 | ,fNumberOfBinsExpected(c.fNumberOfBinsExpected) | |
188 | ,fMethod(c.fMethod) | |
189 | ,fBeginFitCharge(c.fBeginFitCharge) | |
190 | ,fFitPHPeriode(c.fFitPHPeriode) | |
191 | ,fTakeTheMaxPH(c.fTakeTheMaxPH) | |
413153cb | 192 | ,fT0Shift0(c.fT0Shift0) |
193 | ,fT0Shift1(c.fT0Shift1) | |
3a0f6479 | 194 | ,fRangeFitPRF(c.fRangeFitPRF) |
195 | ,fAccCDB(c.fAccCDB) | |
196 | ,fMinEntries(c.fMinEntries) | |
197 | ,fRebin(c.fRebin) | |
198 | ,fNumberFit(c.fNumberFit) | |
199 | ,fNumberFitSuccess(c.fNumberFitSuccess) | |
200 | ,fNumberEnt(c.fNumberEnt) | |
201 | ,fStatisticMean(c.fStatisticMean) | |
202 | ,fDebugStreamer(0x0) | |
203 | ,fDebugLevel(c.fDebugLevel) | |
204 | ,fFitVoir(c.fFitVoir) | |
205 | ,fMagneticField(c.fMagneticField) | |
206 | ,fCalibraMode(0x0) | |
207 | ,fCurrentCoefE(c.fCurrentCoefE) | |
208 | ,fCurrentCoefE2(c.fCurrentCoefE2) | |
209 | ,fDect1(c.fDect1) | |
210 | ,fDect2(c.fDect2) | |
211 | ,fScaleFitFactor(c.fScaleFitFactor) | |
212 | ,fEntriesCurrent(c.fEntriesCurrent) | |
213 | ,fCountDet(c.fCountDet) | |
214 | ,fCount(c.fCount) | |
215 | ,fCalDet(0x0) | |
216 | ,fCalROC(0x0) | |
217 | ,fCalDet2(0x0) | |
218 | ,fCalROC2(0x0) | |
219 | ,fCurrentCoefDetector(0x0) | |
220 | ,fCurrentCoefDetector2(0x0) | |
221 | ,fVectorFit(0) | |
222 | ,fVectorFit2(0) | |
55a288e5 | 223 | { |
224 | // | |
225 | // Copy constructor | |
226 | // | |
227 | ||
3a0f6479 | 228 | if(c.fCalibraMode) fCalibraMode = new AliTRDCalibraMode(*c.fCalibraMode); |
229 | ||
230 | //Current variables initialised | |
231 | for (Int_t k = 0; k < 2; k++) { | |
232 | fCurrentCoef[k] = 0.0; | |
233 | fCurrentCoef2[k] = 0.0; | |
234 | } | |
235 | for (Int_t i = 0; i < 3; i++) { | |
236 | fPhd[i] = 0.0; | |
237 | fDet[i] = 0; | |
238 | } | |
239 | if(c.fCalDet) fCalDet = new AliTRDCalDet(*c.fCalDet); | |
240 | if(c.fCalDet2) fCalDet2 = new AliTRDCalDet(*c.fCalDet2); | |
241 | ||
242 | if(c.fCalROC) fCalROC = new AliTRDCalROC(*c.fCalROC); | |
243 | if(c.fCalROC2) fCalROC = new AliTRDCalROC(*c.fCalROC2); | |
244 | ||
245 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
246 | for(Int_t k = 0; k < c.fVectorFit.GetEntriesFast(); k++){ | |
247 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
248 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetDetector(); | |
249 | Int_t ntotal = 1; | |
250 | if (GetChamber(detector) == 2) { | |
251 | ntotal = 1728; | |
252 | } | |
253 | else { | |
254 | ntotal = 2304; | |
255 | } | |
256 | Float_t *coef = new Float_t[ntotal]; | |
257 | for (Int_t i = 0; i < ntotal; i++) { | |
258 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetCoef()[i]; | |
259 | } | |
260 | fitInfo->SetCoef(coef); | |
261 | fitInfo->SetDetector(detector); | |
262 | fVectorFit.Add((TObject *) fitInfo); | |
263 | } | |
264 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
265 | for(Int_t k = 0; k < c.fVectorFit2.GetEntriesFast(); k++){ | |
266 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
267 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetDetector(); | |
268 | Int_t ntotal = 1; | |
269 | if (GetChamber(detector) == 2) { | |
270 | ntotal = 1728; | |
271 | } | |
272 | else { | |
273 | ntotal = 2304; | |
274 | } | |
275 | Float_t *coef = new Float_t[ntotal]; | |
276 | for (Int_t i = 0; i < ntotal; i++) { | |
277 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetCoef()[i]; | |
278 | } | |
279 | fitInfo->SetCoef(coef); | |
280 | fitInfo->SetDetector(detector); | |
281 | fVectorFit2.Add((TObject *) fitInfo); | |
282 | } | |
283 | if (fGeo) { | |
284 | delete fGeo; | |
285 | } | |
286 | fGeo = new AliTRDgeometry(); | |
55a288e5 | 287 | |
3a0f6479 | 288 | } |
55a288e5 | 289 | //____________________________________________________________________________________ |
290 | AliTRDCalibraFit::~AliTRDCalibraFit() | |
291 | { | |
292 | // | |
293 | // AliTRDCalibraFit destructor | |
294 | // | |
3a0f6479 | 295 | if ( fDebugStreamer ) delete fDebugStreamer; |
296 | if ( fCalDet ) delete fCalDet; | |
297 | if ( fCalDet2 ) delete fCalDet2; | |
298 | if ( fCalROC ) delete fCalROC; | |
299 | if ( fCalROC2 ) delete fCalROC2; | |
300 | fVectorFit.Delete(); | |
301 | fVectorFit2.Delete(); | |
f162af62 | 302 | if (fGeo) { |
303 | delete fGeo; | |
304 | } | |
305 | ||
55a288e5 | 306 | } |
55a288e5 | 307 | //_____________________________________________________________________________ |
308 | void AliTRDCalibraFit::Destroy() | |
309 | { | |
310 | // | |
311 | // Delete instance | |
312 | // | |
313 | ||
314 | if (fgInstance) { | |
315 | delete fgInstance; | |
316 | fgInstance = 0x0; | |
317 | } | |
318 | ||
413153cb | 319 | } |
320 | //__________________________________________________________________________________ | |
321 | void AliTRDCalibraFit::RangeChargeIntegration(Float_t vdrift, Float_t t0, Int_t &begin, Int_t &peak, Int_t &end) | |
322 | { | |
323 | // | |
324 | // From the drift velocity and t0 | |
325 | // return the position of the peak and maximum negative slope | |
326 | // | |
327 | ||
328 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); // drift region | |
329 | Double_t widbins = 0.1; // 0.1 mus | |
330 | ||
331 | //peak and maxnegslope in mus | |
332 | Double_t begind = t0*widbins + fT0Shift0; | |
333 | Double_t peakd = t0*widbins + fT0Shift1; | |
334 | Double_t maxnegslope = (kDrWidth + vdrift*peakd)/vdrift; | |
335 | ||
336 | // peak and maxnegslope in timebin | |
337 | begin = TMath::Nint(begind*widbins); | |
338 | peak = TMath::Nint(peakd*widbins); | |
339 | end = TMath::Nint(maxnegslope*widbins); | |
340 | ||
55a288e5 | 341 | } |
55a288e5 | 342 | //____________Functions fit Online CH2d________________________________________ |
3a0f6479 | 343 | Bool_t AliTRDCalibraFit::AnalyseCH(TH2I *ch) |
55a288e5 | 344 | { |
345 | // | |
346 | // Fit the 1D histos, projections of the 2D ch on the Xaxis, for each | |
347 | // calibration group normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 348 | // |
349 | ||
3a0f6479 | 350 | // Set the calibration mode |
351 | const char *name = ch->GetTitle(); | |
352 | SetModeCalibration(name,0); | |
353 | ||
354 | // Number of Ybins (detectors or groups of pads) | |
355 | Int_t nbins = ch->GetNbinsX();// charge | |
356 | Int_t nybins = ch->GetNbinsY();// groups number | |
357 | if (!InitFit(nybins,0)) { | |
55a288e5 | 358 | return kFALSE; |
359 | } | |
3a0f6479 | 360 | if (!InitFitCH()) { |
55a288e5 | 361 | return kFALSE; |
362 | } | |
363 | fStatisticMean = 0.0; | |
364 | fNumberFit = 0; | |
365 | fNumberFitSuccess = 0; | |
366 | fNumberEnt = 0; | |
55a288e5 | 367 | // Init fCountDet and fCount |
368 | InitfCountDetAndfCount(0); | |
55a288e5 | 369 | // Beginning of the loop betwwen dect1 and dect2 |
3a0f6479 | 370 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
371 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi... | |
55a288e5 | 372 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 373 | ReconstructFitRowMinRowMax(idect, 0); |
3a0f6479 | 374 | // Take the histo |
375 | TH1I *projch = (TH1I *) ch->ProjectionX("projch",idect+1,idect+1,(Option_t *)"e"); | |
376 | projch->SetDirectory(0); | |
55a288e5 | 377 | // Number of entries for this calibration group |
378 | Double_t nentries = 0.0; | |
379 | Double_t mean = 0.0; | |
3a0f6479 | 380 | for (Int_t k = 0; k < nbins; k++) { |
381 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
382 | nentries += ch->GetBinContent(binnb); | |
55a288e5 | 383 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); |
3a0f6479 | 384 | projch->SetBinError(k+1,TMath::Sqrt(projch->GetBinContent(k+1))); |
55a288e5 | 385 | } |
3a0f6479 | 386 | projch->SetEntries(nentries); |
387 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 388 | if (nentries > 0) { |
389 | fNumberEnt++; | |
390 | mean /= nentries; | |
391 | } | |
55a288e5 | 392 | // Rebin and statistic stuff |
55a288e5 | 393 | if (fRebin > 1) { |
394 | projch = ReBin((TH1I *) projch); | |
395 | } | |
396 | // This detector has not enough statistics or was off | |
3a0f6479 | 397 | if (nentries <= fMinEntries) { |
398 | NotEnoughStatisticCH(idect); | |
399 | if (fDebugLevel != 1) { | |
55a288e5 | 400 | delete projch; |
401 | } | |
402 | continue; | |
403 | } | |
55a288e5 | 404 | // Statistics of the group fitted |
55a288e5 | 405 | fStatisticMean += nentries; |
406 | fNumberFit++; | |
3a0f6479 | 407 | //Method choosen |
408 | switch(fMethod) | |
409 | { | |
410 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
411 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
412 | case 2: FitCH((TH1 *) projch, mean); break; | |
413 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
414 | default: return kFALSE; | |
415 | } | |
55a288e5 | 416 | // Fill Infos Fit |
3a0f6479 | 417 | FillInfosFitCH(idect); |
55a288e5 | 418 | // Memory!!! |
3a0f6479 | 419 | if (fDebugLevel != 1) { |
55a288e5 | 420 | delete projch; |
421 | } | |
55a288e5 | 422 | } // Boucle object |
55a288e5 | 423 | // Normierungcharge |
3a0f6479 | 424 | if (fDebugLevel != 1) { |
55a288e5 | 425 | NormierungCharge(); |
426 | } | |
55a288e5 | 427 | // Mean Statistic |
428 | if (fNumberFit > 0) { | |
3a0f6479 | 429 | 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 | 430 | fStatisticMean = fStatisticMean / fNumberFit; |
431 | } | |
432 | else { | |
433 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
434 | } | |
3a0f6479 | 435 | delete fDebugStreamer; |
436 | fDebugStreamer = 0x0; | |
437 | ||
55a288e5 | 438 | return kTRUE; |
55a288e5 | 439 | } |
55a288e5 | 440 | //____________Functions fit Online CH2d________________________________________ |
3a0f6479 | 441 | Bool_t AliTRDCalibraFit::AnalyseCH(AliTRDCalibraVector *calvect) |
55a288e5 | 442 | { |
443 | // | |
444 | // Reconstruct a 1D histo from the vectorCH for each calibration group, | |
445 | // fit the histo, normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 446 | // |
447 | ||
3a0f6479 | 448 | // Set the calibraMode |
449 | const char *name = calvect->GetNameCH(); | |
450 | SetModeCalibration(name,0); | |
55a288e5 | 451 | |
3a0f6479 | 452 | // Number of Xbins (detectors or groups of pads) |
453 | if (!InitFit((432*calvect->GetDetCha0(0)+108*calvect->GetDetCha2(0)),0)) { | |
55a288e5 | 454 | return kFALSE; |
455 | } | |
3a0f6479 | 456 | if (!InitFitCH()) { |
55a288e5 | 457 | return kFALSE; |
458 | } | |
459 | fStatisticMean = 0.0; | |
460 | fNumberFit = 0; | |
461 | fNumberFitSuccess = 0; | |
462 | fNumberEnt = 0; | |
55a288e5 | 463 | // Init fCountDet and fCount |
464 | InitfCountDetAndfCount(0); | |
55a288e5 | 465 | // Beginning of the loop between dect1 and dect2 |
3a0f6479 | 466 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
467 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 468 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 469 | ReconstructFitRowMinRowMax(idect,0); |
3a0f6479 | 470 | // Take the histo |
55a288e5 | 471 | Double_t nentries = 0.0; |
472 | Double_t mean = 0.0; | |
3a0f6479 | 473 | TH1F *projch = 0x0; |
474 | Bool_t something = kTRUE; | |
475 | if(!calvect->GetCHEntries(fCountDet)) something = kFALSE; | |
476 | if(something){ | |
477 | TString name("CH"); | |
478 | name += idect; | |
479 | projch = calvect->ConvertVectorCHHisto(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0)))),(const char *) name); | |
480 | projch->SetDirectory(0); | |
481 | for (Int_t k = 0; k < calvect->GetNumberBinCharge(); k++) { | |
55a288e5 | 482 | nentries += projch->GetBinContent(k+1); |
483 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); | |
484 | } | |
3a0f6479 | 485 | if (nentries > 0) { |
486 | fNumberEnt++; | |
487 | mean /= nentries; | |
488 | } | |
489 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
490 | // Rebin | |
491 | if (fRebin > 1) { | |
492 | projch = ReBin((TH1F *) projch); | |
493 | } | |
55a288e5 | 494 | } |
55a288e5 | 495 | // This detector has not enough statistics or was not found in VectorCH |
3a0f6479 | 496 | if (nentries <= fMinEntries) { |
497 | NotEnoughStatisticCH(idect); | |
498 | if (fDebugLevel != 1) { | |
499 | if(projch) delete projch; | |
55a288e5 | 500 | } |
55a288e5 | 501 | continue; |
55a288e5 | 502 | } |
55a288e5 | 503 | // Statistic of the histos fitted |
55a288e5 | 504 | fStatisticMean += nentries; |
505 | fNumberFit++; | |
3a0f6479 | 506 | //Method choosen |
507 | switch(fMethod) | |
508 | { | |
509 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
510 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
511 | case 2: FitCH((TH1 *) projch, mean); break; | |
512 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
513 | default: return kFALSE; | |
514 | } | |
55a288e5 | 515 | // Fill Infos Fit |
3a0f6479 | 516 | FillInfosFitCH(idect); |
55a288e5 | 517 | // Memory!!! |
3a0f6479 | 518 | if (fDebugLevel != 1) { |
55a288e5 | 519 | delete projch; |
520 | } | |
55a288e5 | 521 | } // Boucle object |
55a288e5 | 522 | // Normierungcharge |
3a0f6479 | 523 | if (fDebugLevel != 1) { |
55a288e5 | 524 | NormierungCharge(); |
525 | } | |
55a288e5 | 526 | // Mean Statistics |
527 | if (fNumberFit > 0) { | |
3a0f6479 | 528 | 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 | 529 | fStatisticMean = fStatisticMean / fNumberFit; |
530 | } | |
531 | else { | |
532 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
533 | } | |
3a0f6479 | 534 | delete fDebugStreamer; |
535 | fDebugStreamer = 0x0; | |
55a288e5 | 536 | return kTRUE; |
55a288e5 | 537 | } |
3a0f6479 | 538 | //________________functions fit Online PH2d____________________________________ |
539 | Bool_t AliTRDCalibraFit::AnalysePH(TProfile2D *ph) | |
55a288e5 | 540 | { |
541 | // | |
3a0f6479 | 542 | // Take the 1D profiles (average pulse height), projections of the 2D PH |
543 | // on the Xaxis, for each calibration group | |
544 | // Reconstruct a drift velocity | |
545 | // A first calibration of T0 is also made using the same method | |
55a288e5 | 546 | // |
547 | ||
3a0f6479 | 548 | // Set the calibration mode |
549 | const char *name = ph->GetTitle(); | |
550 | SetModeCalibration(name,1); | |
551 | ||
552 | // Number of Xbins (detectors or groups of pads) | |
553 | Int_t nbins = ph->GetNbinsX();// time | |
554 | Int_t nybins = ph->GetNbinsY();// calibration group | |
555 | if (!InitFit(nybins,1)) { | |
55a288e5 | 556 | return kFALSE; |
557 | } | |
3a0f6479 | 558 | if (!InitFitPH()) { |
55a288e5 | 559 | return kFALSE; |
560 | } | |
561 | fStatisticMean = 0.0; | |
562 | fNumberFit = 0; | |
563 | fNumberFitSuccess = 0; | |
564 | fNumberEnt = 0; | |
55a288e5 | 565 | // Init fCountDet and fCount |
3a0f6479 | 566 | InitfCountDetAndfCount(1); |
567 | // Beginning of the loop | |
568 | for (Int_t idect = fDect1; idect < fDect2; idect++) { | |
569 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... | |
570 | UpdatefCountDetAndfCount(idect,1); | |
571 | ReconstructFitRowMinRowMax(idect,1); | |
572 | // Take the histo | |
573 | TH1D *projph = (TH1D *) ph->ProjectionX("projph",idect+1,idect+1,(Option_t *) "e"); | |
574 | projph->SetDirectory(0); | |
575 | // Number of entries for this calibration group | |
576 | Double_t nentries = 0; | |
577 | for (Int_t k = 0; k < nbins; k++) { | |
578 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
579 | nentries += ph->GetBinEntries(binnb); | |
55a288e5 | 580 | } |
55a288e5 | 581 | if (nentries > 0) { |
3a0f6479 | 582 | fNumberEnt++; |
583 | } | |
584 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
585 | // This detector has not enough statistics or was off | |
586 | if (nentries <= fMinEntries) { | |
587 | //printf("Not enough statistic!\n"); | |
588 | NotEnoughStatisticPH(idect); | |
589 | if (fDebugLevel != 1) { | |
590 | delete projph; | |
591 | } | |
55a288e5 | 592 | continue; |
55a288e5 | 593 | } |
3a0f6479 | 594 | // Statistics of the histos fitted |
55a288e5 | 595 | fNumberFit++; |
596 | fStatisticMean += nentries; | |
3a0f6479 | 597 | // Calcul of "real" coef |
598 | CalculVdriftCoefMean(); | |
599 | CalculT0CoefMean(); | |
600 | //Method choosen | |
601 | switch(fMethod) | |
602 | { | |
603 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
604 | case 1: FitPente((TH1 *) projph); break; | |
605 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
606 | default: return kFALSE; | |
607 | } | |
608 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
609 | FillInfosFitPH(idect); | |
610 | // Memory!!! | |
611 | if (fDebugLevel != 1) { | |
612 | delete projph; | |
55a288e5 | 613 | } |
55a288e5 | 614 | } // Boucle object |
55a288e5 | 615 | // Mean Statistic |
616 | if (fNumberFit > 0) { | |
3a0f6479 | 617 | 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 | 618 | fStatisticMean = fStatisticMean / fNumberFit; |
619 | } | |
620 | else { | |
621 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
622 | } | |
3a0f6479 | 623 | delete fDebugStreamer; |
624 | fDebugStreamer = 0x0; | |
55a288e5 | 625 | return kTRUE; |
55a288e5 | 626 | } |
3a0f6479 | 627 | //____________Functions fit Online PH2d________________________________________ |
628 | Bool_t AliTRDCalibraFit::AnalysePH(AliTRDCalibraVector *calvect) | |
55a288e5 | 629 | { |
630 | // | |
3a0f6479 | 631 | // Reconstruct the average pulse height from the vectorPH for each |
632 | // calibration group | |
633 | // Reconstruct a drift velocity | |
55a288e5 | 634 | // A first calibration of T0 is also made using the same method (slope method) |
635 | // | |
636 | ||
3a0f6479 | 637 | // Set the calibration mode |
638 | const char *name = calvect->GetNamePH(); | |
639 | SetModeCalibration(name,1); | |
640 | ||
641 | // Number of Xbins (detectors or groups of pads) | |
642 | if (!InitFit((432*calvect->GetDetCha0(1)+108*calvect->GetDetCha2(1)),1)) { | |
55a288e5 | 643 | return kFALSE; |
644 | } | |
3a0f6479 | 645 | if (!InitFitPH()) { |
55a288e5 | 646 | return kFALSE; |
647 | } | |
648 | fStatisticMean = 0.0; | |
649 | fNumberFit = 0; | |
650 | fNumberFitSuccess = 0; | |
651 | fNumberEnt = 0; | |
55a288e5 | 652 | // Init fCountDet and fCount |
653 | InitfCountDetAndfCount(1); | |
55a288e5 | 654 | // Beginning of the loop |
3a0f6479 | 655 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
656 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 657 | UpdatefCountDetAndfCount(idect,1); |
55a288e5 | 658 | ReconstructFitRowMinRowMax(idect,1); |
3a0f6479 | 659 | // Take the histo |
660 | TH1F *projph = 0x0; | |
661 | fEntriesCurrent = 0; | |
662 | Bool_t something = kTRUE; | |
663 | if(!calvect->GetPHEntries(fCountDet)) something = kFALSE; | |
664 | if(something){ | |
665 | TString name("PH"); | |
666 | name += idect; | |
667 | projph = CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPHTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) name))); | |
668 | projph->SetDirectory(0); | |
669 | } | |
670 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); | |
55a288e5 | 671 | // This detector has not enough statistics or was off |
3a0f6479 | 672 | if (fEntriesCurrent <= fMinEntries) { |
673 | //printf("Not enough stat!\n"); | |
674 | NotEnoughStatisticPH(idect); | |
675 | if (fDebugLevel != 1) { | |
676 | if(projph) delete projph; | |
55a288e5 | 677 | } |
55a288e5 | 678 | continue; |
55a288e5 | 679 | } |
3a0f6479 | 680 | // Statistic of the histos fitted |
55a288e5 | 681 | fNumberFit++; |
3a0f6479 | 682 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 683 | // Calcul of "real" coef |
3a0f6479 | 684 | CalculVdriftCoefMean(); |
685 | CalculT0CoefMean(); | |
686 | //Method choosen | |
687 | switch(fMethod) | |
688 | { | |
689 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
690 | case 1: FitPente((TH1 *) projph); break; | |
691 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
692 | default: return kFALSE; | |
693 | } | |
55a288e5 | 694 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 695 | FillInfosFitPH(idect); |
55a288e5 | 696 | // Memory!!! |
3a0f6479 | 697 | if (fDebugLevel != 1) { |
55a288e5 | 698 | delete projph; |
699 | } | |
55a288e5 | 700 | } // Boucle object |
3a0f6479 | 701 | |
55a288e5 | 702 | // Mean Statistic |
703 | if (fNumberFit > 0) { | |
3a0f6479 | 704 | 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 | 705 | fStatisticMean = fStatisticMean / fNumberFit; |
706 | } | |
707 | else { | |
708 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
709 | } | |
3a0f6479 | 710 | delete fDebugStreamer; |
711 | fDebugStreamer = 0x0; | |
55a288e5 | 712 | return kTRUE; |
55a288e5 | 713 | } |
3a0f6479 | 714 | //____________Functions fit Online PRF2d_______________________________________ |
715 | Bool_t AliTRDCalibraFit::AnalysePRF(TProfile2D *prf) | |
55a288e5 | 716 | { |
717 | // | |
3a0f6479 | 718 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
719 | // on the Xaxis, for each calibration group | |
720 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 721 | // |
722 | ||
3a0f6479 | 723 | // Set the calibration mode |
724 | const char *name = prf->GetTitle(); | |
725 | SetModeCalibration(name,2); | |
55a288e5 | 726 | |
3a0f6479 | 727 | // Number of Ybins (detectors or groups of pads) |
728 | Int_t nybins = prf->GetNbinsY();// calibration groups | |
729 | Int_t nbins = prf->GetNbinsX();// bins | |
730 | Int_t nbg = GetNumberOfGroupsPRF((const char *)prf->GetTitle()); | |
731 | if((nbg > 0) || (nbg == -1)) return kFALSE; | |
732 | if (!InitFit(nybins,2)) { | |
55a288e5 | 733 | return kFALSE; |
734 | } | |
3a0f6479 | 735 | if (!InitFitPRF()) { |
55a288e5 | 736 | return kFALSE; |
737 | } | |
738 | fStatisticMean = 0.0; | |
739 | fNumberFit = 0; | |
740 | fNumberFitSuccess = 0; | |
741 | fNumberEnt = 0; | |
55a288e5 | 742 | // Init fCountDet and fCount |
3a0f6479 | 743 | InitfCountDetAndfCount(2); |
55a288e5 | 744 | // Beginning of the loop |
3a0f6479 | 745 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
746 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
747 | UpdatefCountDetAndfCount(idect,2); | |
748 | ReconstructFitRowMinRowMax(idect,2); | |
749 | // Take the histo | |
750 | TH1D *projprf = (TH1D *) prf->ProjectionX("projprf",idect+1,idect+1,(Option_t *) "e"); | |
751 | projprf->SetDirectory(0); | |
752 | // Number of entries for this calibration group | |
753 | Double_t nentries = 0; | |
754 | for (Int_t k = 0; k < nbins; k++) { | |
755 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
756 | nentries += prf->GetBinEntries(binnb); | |
55a288e5 | 757 | } |
3a0f6479 | 758 | if(nentries > 0) fNumberEnt++; |
55a288e5 | 759 | // This detector has not enough statistics or was off |
3a0f6479 | 760 | if (nentries <= fMinEntries) { |
761 | NotEnoughStatisticPRF(idect); | |
762 | if (fDebugLevel != 1) { | |
763 | delete projprf; | |
55a288e5 | 764 | } |
55a288e5 | 765 | continue; |
55a288e5 | 766 | } |
3a0f6479 | 767 | // Statistics of the histos fitted |
55a288e5 | 768 | fNumberFit++; |
3a0f6479 | 769 | fStatisticMean += nentries; |
55a288e5 | 770 | // Calcul of "real" coef |
3a0f6479 | 771 | CalculPRFCoefMean(); |
772 | //Method choosen | |
773 | switch(fMethod) | |
774 | { | |
775 | case 0: FitPRF((TH1 *) projprf); break; | |
776 | case 1: RmsPRF((TH1 *) projprf); break; | |
777 | default: return kFALSE; | |
778 | } | |
55a288e5 | 779 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 780 | FillInfosFitPRF(idect); |
55a288e5 | 781 | // Memory!!! |
3a0f6479 | 782 | if (fDebugLevel != 1) { |
783 | delete projprf; | |
55a288e5 | 784 | } |
55a288e5 | 785 | } // Boucle object |
55a288e5 | 786 | // Mean Statistic |
787 | if (fNumberFit > 0) { | |
788 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
789 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
790 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
791 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
792 | fStatisticMean = fStatisticMean / fNumberFit; | |
793 | } | |
794 | else { | |
795 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
796 | } | |
3a0f6479 | 797 | delete fDebugStreamer; |
798 | fDebugStreamer = 0x0; | |
55a288e5 | 799 | return kTRUE; |
55a288e5 | 800 | } |
3a0f6479 | 801 | //____________Functions fit Online PRF2d_______________________________________ |
802 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(TProfile2D *prf) | |
55a288e5 | 803 | { |
804 | // | |
3a0f6479 | 805 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
806 | // on the Xaxis, for each calibration group | |
807 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 808 | // |
3a0f6479 | 809 | |
810 | // Set the calibration mode | |
811 | const char *name = prf->GetTitle(); | |
812 | SetModeCalibration(name,2); | |
813 | ||
814 | // Number of Ybins (detectors or groups of pads) | |
815 | TAxis *xprf = prf->GetXaxis(); | |
816 | TAxis *yprf = prf->GetYaxis(); | |
817 | Int_t nybins = yprf->GetNbins();// calibration groups | |
818 | Int_t nbins = xprf->GetNbins();// bins | |
819 | Float_t lowedge = (Float_t) xprf->GetBinLowEdge(1);//lowedge in bins | |
820 | Float_t upedge = (Float_t) xprf->GetBinUpEdge(nbins);//upedge in bins | |
821 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
822 | if(nbg == -1) return kFALSE; | |
823 | if(nbg > 0) fMethod = 1; | |
824 | else fMethod = 0; | |
825 | if (!InitFit(nybins,2)) { | |
55a288e5 | 826 | return kFALSE; |
827 | } | |
3a0f6479 | 828 | if (!InitFitPRF()) { |
55a288e5 | 829 | return kFALSE; |
830 | } | |
831 | fStatisticMean = 0.0; | |
3a0f6479 | 832 | fNumberFit = 0; |
55a288e5 | 833 | fNumberFitSuccess = 0; |
834 | fNumberEnt = 0; | |
55a288e5 | 835 | // Init fCountDet and fCount |
3a0f6479 | 836 | InitfCountDetAndfCount(2); |
55a288e5 | 837 | // Beginning of the loop |
3a0f6479 | 838 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
839 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... | |
840 | UpdatefCountDetAndfCount(idect,2); | |
841 | ReconstructFitRowMinRowMax(idect,2); | |
842 | // Build the array of entries and sum | |
843 | TArrayD arraye = TArrayD(nbins); | |
844 | TArrayD arraym = TArrayD(nbins); | |
845 | TArrayD arrayme = TArrayD(nbins); | |
846 | Double_t nentries = 0; | |
847 | //printf("nbins %d\n",nbins); | |
848 | for (Int_t k = 0; k < nbins; k++) { | |
849 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
850 | Double_t entries = (Double_t)prf->GetBinEntries(binnb); | |
851 | Double_t mean = (Double_t)prf->GetBinContent(binnb); | |
852 | Double_t error = (Double_t)prf->GetBinError(binnb); | |
853 | //printf("for %d we have %f\n",k,entries); | |
854 | nentries += entries; | |
855 | arraye.AddAt(entries,k); | |
856 | arraym.AddAt(mean,k); | |
857 | arrayme.AddAt(error,k); | |
55a288e5 | 858 | } |
3a0f6479 | 859 | if(nentries > 0) fNumberEnt++; |
860 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 861 | // This detector has not enough statistics or was off |
3a0f6479 | 862 | if (nentries <= fMinEntries) { |
863 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 864 | continue; |
55a288e5 | 865 | } |
55a288e5 | 866 | // Statistics of the histos fitted |
55a288e5 | 867 | fNumberFit++; |
3a0f6479 | 868 | fStatisticMean += nentries; |
55a288e5 | 869 | // Calcul of "real" coef |
3a0f6479 | 870 | CalculPRFCoefMean(); |
871 | //Method choosen | |
872 | switch(fMethod) | |
873 | { | |
874 | case 0: FitPRFGausMI( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbins, lowedge, upedge); break; | |
875 | case 1: FitTnpRange( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbg, nbins); break; | |
876 | default: return kFALSE; | |
877 | } | |
55a288e5 | 878 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 879 | FillInfosFitPRF(idect); |
55a288e5 | 880 | } // Boucle object |
3a0f6479 | 881 | // Mean Statistic |
55a288e5 | 882 | if (fNumberFit > 0) { |
883 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
884 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
885 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
886 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
887 | fStatisticMean = fStatisticMean / fNumberFit; | |
888 | } | |
889 | else { | |
890 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
891 | } | |
3a0f6479 | 892 | delete fDebugStreamer; |
893 | fDebugStreamer = 0x0; | |
55a288e5 | 894 | return kTRUE; |
55a288e5 | 895 | } |
55a288e5 | 896 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 897 | Bool_t AliTRDCalibraFit::AnalysePRF(AliTRDCalibraVector *calvect) |
55a288e5 | 898 | { |
899 | // | |
3a0f6479 | 900 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for |
901 | // each calibration group | |
55a288e5 | 902 | // Fit with a gaussian to reconstruct the sigma of the pad response function |
55a288e5 | 903 | // |
904 | ||
3a0f6479 | 905 | // Set the calibra mode |
906 | const char *name = calvect->GetNamePRF(); | |
907 | SetModeCalibration(name,2); | |
908 | //printf("test0 %s\n",name); | |
55a288e5 | 909 | |
910 | // Number of Xbins (detectors or groups of pads) | |
3a0f6479 | 911 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { |
912 | //printf("test1\n"); | |
913 | return kFALSE; | |
914 | } | |
915 | if (!InitFitPRF()) { | |
916 | ///printf("test2\n"); | |
55a288e5 | 917 | return kFALSE; |
918 | } | |
919 | fStatisticMean = 0.0; | |
920 | fNumberFit = 0; | |
921 | fNumberFitSuccess = 0; | |
922 | fNumberEnt = 0; | |
55a288e5 | 923 | // Init fCountDet and fCount |
924 | InitfCountDetAndfCount(2); | |
55a288e5 | 925 | // Beginning of the loop |
3a0f6479 | 926 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
927 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........ | |
55a288e5 | 928 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 929 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 930 | // Take the histo |
931 | TH1F *projprf = 0x0; | |
932 | fEntriesCurrent = 0; | |
933 | Bool_t something = kTRUE; | |
934 | if(!calvect->GetPRFEntries(fCountDet)) something = kFALSE; | |
935 | if(something){ | |
936 | TString name("PRF"); | |
937 | name += idect; | |
938 | projprf = CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) name))); | |
939 | projprf->SetDirectory(0); | |
940 | } | |
55a288e5 | 941 | // This detector has not enough statistics or was off |
3a0f6479 | 942 | if (fEntriesCurrent <= fMinEntries) { |
943 | NotEnoughStatisticPRF(idect); | |
944 | if (fDebugLevel != 1) { | |
945 | if(projprf) delete projprf; | |
55a288e5 | 946 | } |
55a288e5 | 947 | continue; |
55a288e5 | 948 | } |
3a0f6479 | 949 | // Statistic of the histos fitted |
55a288e5 | 950 | fNumberFit++; |
3a0f6479 | 951 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 952 | // Calcul of "real" coef |
3a0f6479 | 953 | CalculPRFCoefMean(); |
954 | //Method choosen | |
955 | switch(fMethod) | |
956 | { | |
957 | case 1: FitPRF((TH1 *) projprf); break; | |
958 | case 2: RmsPRF((TH1 *) projprf); break; | |
959 | default: return kFALSE; | |
960 | } | |
55a288e5 | 961 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 962 | FillInfosFitPRF(idect); |
55a288e5 | 963 | // Memory!!! |
3a0f6479 | 964 | if (fDebugLevel != 1) { |
55a288e5 | 965 | delete projprf; |
966 | } | |
55a288e5 | 967 | } // Boucle object |
3a0f6479 | 968 | // Mean Statistics |
55a288e5 | 969 | if (fNumberFit > 0) { |
3a0f6479 | 970 | 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 | 971 | } |
972 | else { | |
973 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
974 | } | |
3a0f6479 | 975 | delete fDebugStreamer; |
976 | fDebugStreamer = 0x0; | |
55a288e5 | 977 | return kTRUE; |
55a288e5 | 978 | } |
55a288e5 | 979 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 980 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(AliTRDCalibraVector *calvect) |
55a288e5 | 981 | { |
982 | // | |
983 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for | |
984 | // each calibration group | |
985 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 986 | // |
987 | ||
3a0f6479 | 988 | // Set the calibra mode |
989 | const char *name = calvect->GetNamePRF(); | |
990 | SetModeCalibration(name,2); | |
991 | //printf("test0 %s\n",name); | |
992 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
993 | printf("test1 %d\n",nbg); | |
994 | if(nbg == -1) return kFALSE; | |
995 | if(nbg > 0) fMethod = 1; | |
996 | else fMethod = 0; | |
997 | // Number of Xbins (detectors or groups of pads) | |
998 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { | |
999 | //printf("test2\n"); | |
55a288e5 | 1000 | return kFALSE; |
1001 | } | |
3a0f6479 | 1002 | if (!InitFitPRF()) { |
1003 | //printf("test3\n"); | |
55a288e5 | 1004 | return kFALSE; |
1005 | } | |
1006 | fStatisticMean = 0.0; | |
1007 | fNumberFit = 0; | |
1008 | fNumberFitSuccess = 0; | |
1009 | fNumberEnt = 0; | |
3a0f6479 | 1010 | // Variables |
1011 | Int_t nbins = 0; | |
1012 | Double_t *arrayx = 0; | |
1013 | Double_t *arraye = 0; | |
1014 | Double_t *arraym = 0; | |
1015 | Double_t *arrayme = 0; | |
1016 | Float_t lowedge = 0.0; | |
1017 | Float_t upedge = 0.0; | |
55a288e5 | 1018 | // Init fCountDet and fCount |
1019 | InitfCountDetAndfCount(2); | |
55a288e5 | 1020 | // Beginning of the loop |
3a0f6479 | 1021 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
1022 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
55a288e5 | 1023 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 1024 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 1025 | // Take the histo |
1026 | TGraphErrors *projprftree = 0x0; | |
1027 | fEntriesCurrent = 0; | |
1028 | Bool_t something = kTRUE; | |
1029 | if(!calvect->GetPRFEntries(fCountDet)) something = kFALSE; | |
1030 | if(something){ | |
1031 | TString name("PRF"); | |
1032 | name += idect; | |
1033 | projprftree = calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) name); | |
1034 | nbins = projprftree->GetN(); | |
1035 | arrayx = (Double_t *)projprftree->GetX(); | |
1036 | arraye = (Double_t *)projprftree->GetEX(); | |
1037 | arraym = (Double_t *)projprftree->GetY(); | |
1038 | arrayme = (Double_t *)projprftree->GetEY(); | |
1039 | Float_t step = arrayx[1]-arrayx[0]; | |
1040 | lowedge = arrayx[0] - step/2.0; | |
1041 | upedge = arrayx[(nbins-1)] + step/2.0; | |
1042 | //printf("nbins est %d\n",nbins); | |
1043 | for(Int_t k = 0; k < nbins; k++){ | |
1044 | fEntriesCurrent += (Int_t)arraye[k]; | |
1045 | //printf("for %d we have %f, %f\n",k,arraye[k],((projprftree->GetEX())[k])); | |
1046 | if(arraye[k]>0.0) arrayme[k] = TMath::Sqrt(TMath::Abs(arrayme[k]-arraym[k]*arraym[k])/arraye[k]); | |
55a288e5 | 1047 | } |
3a0f6479 | 1048 | if(fEntriesCurrent > 0) fNumberEnt++; |
1049 | } | |
1050 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); | |
1051 | // This detector has not enough statistics or was off | |
1052 | if (fEntriesCurrent <= fMinEntries) { | |
1053 | NotEnoughStatisticPRF(idect); | |
1054 | if(projprftree) delete projprftree; | |
55a288e5 | 1055 | continue; |
55a288e5 | 1056 | } |
55a288e5 | 1057 | // Statistic of the histos fitted |
55a288e5 | 1058 | fNumberFit++; |
1059 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1060 | // Calcul of "real" coef |
3a0f6479 | 1061 | CalculPRFCoefMean(); |
1062 | //Method choosen | |
1063 | switch(fMethod) | |
1064 | { | |
1065 | case 0: FitPRFGausMI(arraye,arraym,arrayme,nbins,lowedge,upedge); break; | |
1066 | case 1: FitTnpRange(arraye,arraym,arrayme,nbg,nbins); break; | |
1067 | default: return kFALSE; | |
1068 | } | |
55a288e5 | 1069 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 1070 | FillInfosFitPRF(idect); |
55a288e5 | 1071 | // Memory!!! |
3a0f6479 | 1072 | if (fDebugLevel != 1) { |
1073 | delete projprftree; | |
55a288e5 | 1074 | } |
55a288e5 | 1075 | } // Boucle object |
55a288e5 | 1076 | // Mean Statistics |
1077 | if (fNumberFit > 0) { | |
3a0f6479 | 1078 | 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 | 1079 | } |
1080 | else { | |
1081 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1082 | } | |
3a0f6479 | 1083 | delete fDebugStreamer; |
1084 | fDebugStreamer = 0x0; | |
55a288e5 | 1085 | return kTRUE; |
55a288e5 | 1086 | } |
3a0f6479 | 1087 | //____________Functions fit Online CH2d________________________________________ |
1088 | Bool_t AliTRDCalibraFit::AnalyseLinearFitters(AliTRDCalibraVdriftLinearFit *calivdli) | |
55a288e5 | 1089 | { |
1090 | // | |
3a0f6479 | 1091 | // The linear method |
55a288e5 | 1092 | // |
1093 | ||
55a288e5 | 1094 | fStatisticMean = 0.0; |
1095 | fNumberFit = 0; | |
1096 | fNumberFitSuccess = 0; | |
1097 | fNumberEnt = 0; | |
3a0f6479 | 1098 | if(!InitFitLinearFitter()) return kFALSE; |
55a288e5 | 1099 | |
3a0f6479 | 1100 | |
1101 | for(Int_t idet = 0; idet < 540; idet++){ | |
55a288e5 | 1102 | |
55a288e5 | 1103 | |
3a0f6479 | 1104 | //printf("detector number %d\n",idet); |
55a288e5 | 1105 | |
3a0f6479 | 1106 | // Take the result |
1107 | TVectorD param(2); | |
1108 | TVectorD error(3); | |
1109 | fEntriesCurrent = 0; | |
1110 | fCountDet = idet; | |
1111 | Bool_t here = calivdli->GetParam(idet,¶m); | |
1112 | Bool_t heree = calivdli->GetError(idet,&error); | |
1113 | //printf("here %d and heree %d\n",here, heree); | |
1114 | if(heree) { | |
1115 | fEntriesCurrent = (Int_t) error[2]; | |
55a288e5 | 1116 | fNumberEnt++; |
55a288e5 | 1117 | } |
3a0f6479 | 1118 | //printf("Number of entries %d\n",fEntriesCurrent); |
1119 | // Nothing found or not enough statistic | |
1120 | if((!heree) || (!here) || (fEntriesCurrent <= fMinEntries)) { | |
1121 | NotEnoughStatisticLinearFitter(); | |
1122 | continue; | |
1123 | } | |
1124 | //param.Print(); | |
1125 | //error.Print(); | |
1126 | //Statistics | |
1127 | fNumberFit++; | |
1128 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1129 | |
3a0f6479 | 1130 | // Check the fit |
1131 | if((-(param[1])) <= 0.0) { | |
1132 | NotEnoughStatisticLinearFitter(); | |
1133 | continue; | |
1134 | } | |
55a288e5 | 1135 | |
3a0f6479 | 1136 | // CalculDatabaseVdriftandTan |
1137 | CalculVdriftLorentzCoef(); | |
55a288e5 | 1138 | |
3a0f6479 | 1139 | // Statistics |
1140 | fNumberFitSuccess ++; | |
55a288e5 | 1141 | |
3a0f6479 | 1142 | // Put the fCurrentCoef |
1143 | fCurrentCoef[0] = -param[1]; | |
1144 | // here the database must be the one of the reconstruction for the lorentz angle.... | |
1145 | fCurrentCoef2[0] = (param[0]+fCurrentCoef[1]*fCurrentCoef2[1])/fCurrentCoef[0]; | |
1146 | fCurrentCoefE = error[1]; | |
1147 | fCurrentCoefE2 = error[0]; | |
1148 | if((fCurrentCoef2[0] != 0.0) && (param[0] != 0.0)){ | |
1149 | fCurrentCoefE2 = (fCurrentCoefE2/param[0]+fCurrentCoefE/fCurrentCoef[0])*fCurrentCoef2[0]; | |
1150 | } | |
55a288e5 | 1151 | |
3a0f6479 | 1152 | // Fill |
1153 | FillInfosFitLinearFitter(); | |
55a288e5 | 1154 | |
55a288e5 | 1155 | |
55a288e5 | 1156 | } |
55a288e5 | 1157 | // Mean Statistics |
1158 | if (fNumberFit > 0) { | |
3a0f6479 | 1159 | 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 | 1160 | } |
1161 | else { | |
1162 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1163 | } | |
3a0f6479 | 1164 | delete fDebugStreamer; |
1165 | fDebugStreamer = 0x0; | |
55a288e5 | 1166 | return kTRUE; |
1167 | ||
1168 | } | |
55a288e5 | 1169 | //____________Functions for seeing if the pad is really okey___________________ |
3a0f6479 | 1170 | //_____________________________________________________________________________ |
1171 | Int_t AliTRDCalibraFit::GetNumberOfGroupsPRF(const char* nametitle) | |
1172 | { | |
1173 | // | |
1174 | // Get numberofgroupsprf | |
1175 | // | |
1176 | ||
1177 | // Some patterns | |
1178 | const Char_t *pattern0 = "Ngp0"; | |
1179 | const Char_t *pattern1 = "Ngp1"; | |
1180 | const Char_t *pattern2 = "Ngp2"; | |
1181 | const Char_t *pattern3 = "Ngp3"; | |
1182 | const Char_t *pattern4 = "Ngp4"; | |
1183 | const Char_t *pattern5 = "Ngp5"; | |
1184 | const Char_t *pattern6 = "Ngp6"; | |
1185 | ||
1186 | // Nrphi mode | |
1187 | if (strstr(nametitle,pattern0)) { | |
1188 | return 0; | |
1189 | } | |
1190 | if (strstr(nametitle,pattern1)) { | |
1191 | return 1; | |
1192 | } | |
1193 | if (strstr(nametitle,pattern2)) { | |
1194 | return 2; | |
1195 | } | |
1196 | if (strstr(nametitle,pattern3)) { | |
1197 | return 3; | |
1198 | } | |
1199 | if (strstr(nametitle,pattern4)) { | |
1200 | return 4; | |
1201 | } | |
1202 | if (strstr(nametitle,pattern5)) { | |
1203 | return 5; | |
1204 | } | |
1205 | if (strstr(nametitle,pattern6)){ | |
1206 | return 6; | |
1207 | } | |
1208 | else return -1; | |
1209 | ||
55a288e5 | 1210 | |
3a0f6479 | 1211 | } |
55a288e5 | 1212 | //_____________________________________________________________________________ |
3a0f6479 | 1213 | Bool_t AliTRDCalibraFit::SetModeCalibration(const char *name, Int_t i) |
55a288e5 | 1214 | { |
1215 | // | |
1216 | // Set fNz[i] and fNrphi[i] of the AliTRDCalibraFit::Instance() | |
3a0f6479 | 1217 | // corresponding to the given name |
55a288e5 | 1218 | // |
1219 | ||
3a0f6479 | 1220 | if(!SetNzFromTObject(name,i)) return kFALSE; |
1221 | if(!SetNrphiFromTObject(name,i)) return kFALSE; | |
1222 | ||
1223 | return kTRUE; | |
55a288e5 | 1224 | |
3a0f6479 | 1225 | } |
1226 | //_____________________________________________________________________________ | |
1227 | Bool_t AliTRDCalibraFit::SetNrphiFromTObject(const char *name, Int_t i) | |
1228 | { | |
1229 | // | |
1230 | // Set fNrphi[i] of the AliTRDCalibraFit::Instance() | |
1231 | // corresponding to the given TObject | |
1232 | // | |
1233 | ||
55a288e5 | 1234 | // Some patterns |
55a288e5 | 1235 | const Char_t *patternrphi0 = "Nrphi0"; |
1236 | const Char_t *patternrphi1 = "Nrphi1"; | |
1237 | const Char_t *patternrphi2 = "Nrphi2"; | |
1238 | const Char_t *patternrphi3 = "Nrphi3"; | |
1239 | const Char_t *patternrphi4 = "Nrphi4"; | |
1240 | const Char_t *patternrphi5 = "Nrphi5"; | |
1241 | const Char_t *patternrphi6 = "Nrphi6"; | |
1242 | ||
55a288e5 | 1243 | // Nrphi mode |
3a0f6479 | 1244 | if (strstr(name,patternrphi0)) { |
55a288e5 | 1245 | fCalibraMode->SetNrphi(i ,0); |
3a0f6479 | 1246 | return kTRUE; |
55a288e5 | 1247 | } |
3a0f6479 | 1248 | if (strstr(name,patternrphi1)) { |
55a288e5 | 1249 | fCalibraMode->SetNrphi(i, 1); |
3a0f6479 | 1250 | return kTRUE; |
55a288e5 | 1251 | } |
3a0f6479 | 1252 | if (strstr(name,patternrphi2)) { |
55a288e5 | 1253 | fCalibraMode->SetNrphi(i, 2); |
3a0f6479 | 1254 | return kTRUE; |
55a288e5 | 1255 | } |
3a0f6479 | 1256 | if (strstr(name,patternrphi3)) { |
55a288e5 | 1257 | fCalibraMode->SetNrphi(i, 3); |
3a0f6479 | 1258 | return kTRUE; |
55a288e5 | 1259 | } |
3a0f6479 | 1260 | if (strstr(name,patternrphi4)) { |
55a288e5 | 1261 | fCalibraMode->SetNrphi(i, 4); |
3a0f6479 | 1262 | return kTRUE; |
55a288e5 | 1263 | } |
3a0f6479 | 1264 | if (strstr(name,patternrphi5)) { |
55a288e5 | 1265 | fCalibraMode->SetNrphi(i, 5); |
3a0f6479 | 1266 | return kTRUE; |
55a288e5 | 1267 | } |
3a0f6479 | 1268 | if (strstr(name,patternrphi6)) { |
55a288e5 | 1269 | fCalibraMode->SetNrphi(i, 6); |
55a288e5 | 1270 | return kTRUE; |
1271 | } | |
55a288e5 | 1272 | |
3a0f6479 | 1273 | fCalibraMode->SetNrphi(i ,0); |
1274 | return kFALSE; | |
1275 | ||
55a288e5 | 1276 | } |
55a288e5 | 1277 | //_____________________________________________________________________________ |
3a0f6479 | 1278 | Bool_t AliTRDCalibraFit::SetNzFromTObject(const char *name, Int_t i) |
55a288e5 | 1279 | { |
1280 | // | |
3a0f6479 | 1281 | // Set fNz[i] of the AliTRDCalibraFit::Instance() |
1282 | // corresponding to the given TObject | |
55a288e5 | 1283 | // |
3a0f6479 | 1284 | |
1285 | // Some patterns | |
1286 | const Char_t *patternz0 = "Nz0"; | |
1287 | const Char_t *patternz1 = "Nz1"; | |
1288 | const Char_t *patternz2 = "Nz2"; | |
1289 | const Char_t *patternz3 = "Nz3"; | |
1290 | const Char_t *patternz4 = "Nz4"; | |
55a288e5 | 1291 | |
3a0f6479 | 1292 | if (strstr(name,patternz0)) { |
1293 | fCalibraMode->SetNz(i, 0); | |
1294 | return kTRUE; | |
55a288e5 | 1295 | } |
3a0f6479 | 1296 | if (strstr(name,patternz1)) { |
1297 | fCalibraMode->SetNz(i ,1); | |
1298 | return kTRUE; | |
55a288e5 | 1299 | } |
3a0f6479 | 1300 | if (strstr(name,patternz2)) { |
1301 | fCalibraMode->SetNz(i ,2); | |
1302 | return kTRUE; | |
55a288e5 | 1303 | } |
3a0f6479 | 1304 | if (strstr(name,patternz3)) { |
1305 | fCalibraMode->SetNz(i ,3); | |
1306 | return kTRUE; | |
55a288e5 | 1307 | } |
3a0f6479 | 1308 | if (strstr(name,patternz4)) { |
1309 | fCalibraMode->SetNz(i ,4); | |
1310 | return kTRUE; | |
55a288e5 | 1311 | } |
3a0f6479 | 1312 | |
1313 | fCalibraMode->SetNz(i ,0); | |
1314 | return kFALSE; | |
1315 | } | |
1316 | //_____________________________________________________________________________ | |
1317 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectVdrift(TObjArray *vectorFit, Bool_t perdetector) | |
1318 | { | |
1319 | // | |
1320 | // It creates the AliTRDCalDet object from the AliTRDFitInfo | |
1321 | // It takes the mean value of the coefficients per detector | |
1322 | // This object has to be written in the database | |
1323 | // | |
55a288e5 | 1324 | |
3a0f6479 | 1325 | // Create the DetObject |
1326 | AliTRDCalDet *object = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
1327 | ||
1328 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1329 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1330 | Int_t detector = -1; | |
1331 | Float_t value = 0.0; | |
1332 | ||
1333 | for (Int_t k = 0; k < loop; k++) { | |
1334 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1335 | Float_t mean = 0.0; | |
1336 | if(perdetector){ | |
1337 | mean = TMath::Abs(((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]); | |
55a288e5 | 1338 | } |
1339 | else { | |
3a0f6479 | 1340 | Int_t count = 0; |
1341 | Int_t rowMax = fGeo->GetRowMax(GetPlane(detector),GetChamber(detector),GetSector(detector)); | |
1342 | Int_t colMax = fGeo->GetColMax(GetPlane(detector)); | |
1343 | for (Int_t row = 0; row < rowMax; row++) { | |
1344 | for (Int_t col = 0; col < colMax; col++) { | |
1345 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1346 | mean += TMath::Abs(value); | |
1347 | count++; | |
1348 | } // Col | |
1349 | } // Row | |
1350 | if(count > 0) mean = mean/count; | |
55a288e5 | 1351 | } |
1352 | object->SetValue(detector,mean); | |
1353 | } | |
3a0f6479 | 1354 | |
55a288e5 | 1355 | return object; |
55a288e5 | 1356 | } |
55a288e5 | 1357 | //_____________________________________________________________________________ |
3a0f6479 | 1358 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectGain(TObjArray *vectorFit, Double_t scaleFitFactor, Bool_t perdetector) |
55a288e5 | 1359 | { |
1360 | // | |
3a0f6479 | 1361 | // It creates the AliTRDCalDet object from the AliTRDFitInfo |
1362 | // It takes the mean value of the coefficients per detector | |
55a288e5 | 1363 | // This object has to be written in the database |
1364 | // | |
1365 | ||
1366 | // Create the DetObject | |
3a0f6479 | 1367 | AliTRDCalDet *object = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); |
55a288e5 | 1368 | |
3a0f6479 | 1369 | |
1370 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1371 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1372 | Int_t detector = -1; | |
1373 | Float_t value = 0.0; | |
1374 | ||
1375 | for (Int_t k = 0; k < loop; k++) { | |
1376 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1377 | Float_t mean = 0.0; | |
1378 | if(perdetector){ | |
1379 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
1380 | if(value > 0) value = value*scaleFitFactor; | |
1381 | mean = TMath::Abs(value); | |
1382 | } | |
1383 | else{ | |
1384 | Int_t count = 0; | |
1385 | Int_t rowMax = fGeo->GetRowMax(GetPlane(detector),GetChamber(detector),GetSector(detector)); | |
1386 | Int_t colMax = fGeo->GetColMax(GetPlane(detector)); | |
1387 | for (Int_t row = 0; row < rowMax; row++) { | |
1388 | for (Int_t col = 0; col < colMax; col++) { | |
1389 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1390 | if(value > 0) value = value*scaleFitFactor; | |
1391 | mean += TMath::Abs(value); | |
1392 | count++; | |
1393 | } // Col | |
1394 | } // Row | |
1395 | if(count > 0) mean = mean/count; | |
1396 | } | |
1397 | object->SetValue(detector,mean); | |
55a288e5 | 1398 | } |
3a0f6479 | 1399 | |
1400 | return object; | |
1401 | } | |
1402 | //_____________________________________________________________________________ | |
1403 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectT0(TObjArray *vectorFit, Bool_t perdetector) | |
1404 | { | |
1405 | // | |
1406 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 | |
1407 | // It takes the min value of the coefficients per detector | |
1408 | // This object has to be written in the database | |
1409 | // | |
55a288e5 | 1410 | |
3a0f6479 | 1411 | // Create the DetObject |
1412 | AliTRDCalDet *object = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
55a288e5 | 1413 | |
3a0f6479 | 1414 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); |
1415 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1416 | Int_t detector = -1; | |
1417 | Float_t value = 0.0; | |
1418 | ||
1419 | for (Int_t k = 0; k < loop; k++) { | |
1420 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1421 | Float_t min = 100.0; | |
1422 | if(perdetector){ | |
1423 | min = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
55a288e5 | 1424 | } |
3a0f6479 | 1425 | else{ |
1426 | Int_t rowMax = fGeo->GetRowMax(GetPlane(detector),GetChamber(detector),GetSector(detector)); | |
1427 | Int_t colMax = fGeo->GetColMax(GetPlane(detector)); | |
1428 | for (Int_t row = 0; row < rowMax; row++) { | |
1429 | for (Int_t col = 0; col < colMax; col++) { | |
1430 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1431 | if(min > value) min = value; | |
1432 | } // Col | |
1433 | } // Row | |
1434 | } | |
1435 | object->SetValue(detector,min); | |
55a288e5 | 1436 | } |
1437 | ||
1438 | return object; | |
1439 | ||
1440 | } | |
55a288e5 | 1441 | //_____________________________________________________________________________ |
3a0f6479 | 1442 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectLorentzAngle(TObjArray *vectorFit) |
55a288e5 | 1443 | { |
1444 | // | |
3a0f6479 | 1445 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 |
1446 | // It takes the min value of the coefficients per detector | |
55a288e5 | 1447 | // This object has to be written in the database |
1448 | // | |
1449 | ||
1450 | // Create the DetObject | |
3a0f6479 | 1451 | AliTRDCalDet *object = new AliTRDCalDet("tan(lorentzangle)","tan(lorentzangle) (detector value)"); |
1452 | ||
1453 | ||
1454 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1455 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1456 | Int_t detector = -1; | |
1457 | Float_t value = 0.0; | |
55a288e5 | 1458 | |
3a0f6479 | 1459 | for (Int_t k = 0; k < loop; k++) { |
1460 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1461 | /* | |
1462 | Int_t rowMax = fGeo->GetRowMax(GetPlane(detector),GetChamber(detector),GetSector(detector)); | |
1463 | Int_t colMax = fGeo->GetColMax(GetPlane(detector)); | |
1464 | Float_t min = 100.0; | |
1465 | for (Int_t row = 0; row < rowMax; row++) { | |
1466 | for (Int_t col = 0; col < colMax; col++) { | |
1467 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1468 | mean += -TMath::Abs(value); | |
1469 | count++; | |
55a288e5 | 1470 | } // Col |
3a0f6479 | 1471 | } // Row |
1472 | if(count > 0) mean = mean/count; | |
1473 | */ | |
1474 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
1475 | object->SetValue(detector,-TMath::Abs(value)); | |
55a288e5 | 1476 | } |
1477 | ||
1478 | return object; | |
3a0f6479 | 1479 | |
55a288e5 | 1480 | } |
55a288e5 | 1481 | //_____________________________________________________________________________ |
3a0f6479 | 1482 | TObject *AliTRDCalibraFit::CreatePadObjectGain(TObjArray *vectorFit, Double_t scaleFitFactor, AliTRDCalDet *detobject) |
1483 | { | |
55a288e5 | 1484 | // |
3a0f6479 | 1485 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
1486 | // You need first to create the object for the detectors, | |
1487 | // where the mean value is put. | |
1488 | // This object has to be written in the database | |
55a288e5 | 1489 | // |
3a0f6479 | 1490 | |
1491 | // Create the DetObject | |
1492 | AliTRDCalPad *object = new AliTRDCalPad("GainFactor","GainFactor (local variations)"); | |
1493 | ||
1494 | if(!vectorFit){ | |
1495 | for(Int_t k = 0; k < 540; k++){ | |
1496 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1497 | Int_t nchannels = calROC->GetNchannels(); | |
1498 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1499 | calROC->SetValue(ch,1.0); | |
1500 | } | |
1501 | } | |
55a288e5 | 1502 | } |
3a0f6479 | 1503 | else{ |
1504 | ||
1505 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1506 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1507 | Int_t detector = -1; | |
1508 | Float_t value = 0.0; | |
1509 | ||
1510 | for (Int_t k = 0; k < loop; k++) { | |
1511 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1512 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1513 | Float_t mean = detobject->GetValue(detector); | |
1514 | if(mean == 0) continue; | |
1515 | Int_t rowMax = calROC->GetNrows(); | |
1516 | Int_t colMax = calROC->GetNcols(); | |
1517 | for (Int_t row = 0; row < rowMax; row++) { | |
1518 | for (Int_t col = 0; col < colMax; col++) { | |
1519 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1520 | if(value > 0) value = value*scaleFitFactor; | |
1521 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
1522 | } // Col | |
1523 | } // Row | |
1524 | } | |
55a288e5 | 1525 | } |
1526 | ||
3a0f6479 | 1527 | return object; |
55a288e5 | 1528 | } |
55a288e5 | 1529 | //_____________________________________________________________________________ |
3a0f6479 | 1530 | TObject *AliTRDCalibraFit::CreatePadObjectVdrift(TObjArray *vectorFit, AliTRDCalDet *detobject) |
1531 | { | |
55a288e5 | 1532 | // |
3a0f6479 | 1533 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
1534 | // You need first to create the object for the detectors, | |
1535 | // where the mean value is put. | |
1536 | // This object has to be written in the database | |
55a288e5 | 1537 | // |
1538 | ||
3a0f6479 | 1539 | // Create the DetObject |
1540 | AliTRDCalPad *object = new AliTRDCalPad("LocalVdrift","TRD drift velocities (local variations)"); | |
1541 | ||
1542 | if(!vectorFit){ | |
1543 | for(Int_t k = 0; k < 540; k++){ | |
1544 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1545 | Int_t nchannels = calROC->GetNchannels(); | |
1546 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1547 | calROC->SetValue(ch,1.0); | |
1548 | } | |
1549 | } | |
55a288e5 | 1550 | } |
1551 | else { | |
3a0f6479 | 1552 | |
1553 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1554 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1555 | Int_t detector = -1; | |
1556 | Float_t value = 0.0; | |
1557 | ||
1558 | for (Int_t k = 0; k < loop; k++) { | |
1559 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1560 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1561 | Float_t mean = detobject->GetValue(detector); | |
1562 | if(mean == 0) continue; | |
1563 | Int_t rowMax = calROC->GetNrows(); | |
1564 | Int_t colMax = calROC->GetNcols(); | |
1565 | for (Int_t row = 0; row < rowMax; row++) { | |
1566 | for (Int_t col = 0; col < colMax; col++) { | |
1567 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1568 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
1569 | } // Col | |
1570 | } // Row | |
1571 | } | |
55a288e5 | 1572 | } |
3a0f6479 | 1573 | return object; |
55a288e5 | 1574 | |
1575 | } | |
55a288e5 | 1576 | //_____________________________________________________________________________ |
3a0f6479 | 1577 | TObject *AliTRDCalibraFit::CreatePadObjectT0(TObjArray *vectorFit, AliTRDCalDet *detobject) |
1578 | { | |
55a288e5 | 1579 | // |
3a0f6479 | 1580 | // It Creates the AliTRDCalPad object from AliTRDFitInfo2 |
1581 | // You need first to create the object for the detectors, | |
1582 | // where the mean value is put. | |
1583 | // This object has to be written in the database | |
55a288e5 | 1584 | // |
3a0f6479 | 1585 | |
1586 | // Create the DetObject | |
1587 | AliTRDCalPad *object = new AliTRDCalPad("LocalT0","T0 (local variations)"); | |
1588 | ||
1589 | if(!vectorFit){ | |
1590 | for(Int_t k = 0; k < 540; k++){ | |
1591 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1592 | Int_t nchannels = calROC->GetNchannels(); | |
1593 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1594 | calROC->SetValue(ch,0.0); | |
1595 | } | |
1596 | } | |
55a288e5 | 1597 | } |
1598 | else { | |
3a0f6479 | 1599 | |
1600 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1601 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1602 | Int_t detector = -1; | |
1603 | Float_t value = 0.0; | |
1604 | ||
1605 | for (Int_t k = 0; k < loop; k++) { | |
1606 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1607 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1608 | Float_t min = detobject->GetValue(detector); | |
1609 | Int_t rowMax = calROC->GetNrows(); | |
1610 | Int_t colMax = calROC->GetNcols(); | |
1611 | for (Int_t row = 0; row < rowMax; row++) { | |
1612 | for (Int_t col = 0; col < colMax; col++) { | |
1613 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1614 | calROC->SetValue(col,row,value-min); | |
1615 | } // Col | |
1616 | } // Row | |
1617 | } | |
55a288e5 | 1618 | } |
3a0f6479 | 1619 | return object; |
55a288e5 | 1620 | |
1621 | } | |
3a0f6479 | 1622 | //_____________________________________________________________________________ |
1623 | TObject *AliTRDCalibraFit::CreatePadObjectPRF(TObjArray *vectorFit) | |
1624 | { | |
1625 | // | |
1626 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
1627 | // This object has to be written in the database | |
1628 | // | |
1629 | ||
1630 | // Create the DetObject | |
1631 | AliTRDCalPad *object = new AliTRDCalPad("PRFWidth","PRFWidth"); | |
1632 | ||
1633 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1634 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1635 | Int_t detector = -1; | |
1636 | Float_t value = 0.0; | |
55a288e5 | 1637 | |
3a0f6479 | 1638 | for (Int_t k = 0; k < loop; k++) { |
1639 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1640 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1641 | Int_t rowMax = calROC->GetNrows(); | |
1642 | Int_t colMax = calROC->GetNcols(); | |
1643 | for (Int_t row = 0; row < rowMax; row++) { | |
1644 | for (Int_t col = 0; col < colMax; col++) { | |
1645 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1646 | calROC->SetValue(col,row,TMath::Abs(value)); | |
1647 | } // Col | |
1648 | } // Row | |
1649 | } | |
1650 | ||
1651 | return object; | |
1652 | ||
1653 | } | |
55a288e5 | 1654 | //_____________________________________________________________________________ |
3a0f6479 | 1655 | AliTRDCalDet *AliTRDCalibraFit::MakeOutliersStatDet(TObjArray *vectorFit, const char *name, Double_t &mean) |
1656 | { | |
1657 | // | |
1658 | // It Creates the AliTRDCalDet object from AliTRDFitInfo | |
1659 | // 0 successful fit 1 not successful fit | |
1660 | // mean is the mean value over the successful fit | |
1661 | // do not use it for t0: no meaning | |
1662 | // | |
1663 | ||
1664 | // Create the CalObject | |
1665 | AliTRDCalDet *object = new AliTRDCalDet(name,name); | |
1666 | mean = 0.0; | |
1667 | Int_t count = 0; | |
1668 | ||
1669 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1670 | if(loop != 540) { | |
1671 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
1672 | for(Int_t k = 0; k < 540; k++){ | |
1673 | object->SetValue(k,1.0); | |
1674 | } | |
1675 | } | |
1676 | Int_t detector = -1; | |
1677 | Float_t value = 0.0; | |
1678 | ||
1679 | for (Int_t k = 0; k < loop; k++) { | |
1680 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1681 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
1682 | if(value <= 0) object->SetValue(detector,1.0); | |
1683 | else { | |
1684 | object->SetValue(detector,0.0); | |
1685 | mean += value; | |
1686 | count++; | |
1687 | } | |
1688 | } | |
1689 | if(count > 0) mean /= count; | |
1690 | return object; | |
1691 | } | |
1692 | //_____________________________________________________________________________ | |
1693 | TObject *AliTRDCalibraFit::MakeOutliersStatPad(TObjArray *vectorFit, const char *name, Double_t &mean) | |
1694 | { | |
1695 | // | |
1696 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
1697 | // 0 not successful fit 1 successful fit | |
1698 | // mean mean value over the successful fit | |
1699 | // | |
1700 | ||
1701 | // Create the CalObject | |
1702 | AliTRDCalPad *object = new AliTRDCalPad(name,name); | |
1703 | mean = 0.0; | |
1704 | Int_t count = 0; | |
1705 | ||
1706 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1707 | if(loop != 540) { | |
1708 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
1709 | for(Int_t k = 0; k < 540; k++){ | |
1710 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
1711 | Int_t nchannels = calROC->GetNchannels(); | |
1712 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
1713 | calROC->SetValue(ch,1.0); | |
1714 | } | |
1715 | } | |
1716 | } | |
1717 | Int_t detector = -1; | |
1718 | Float_t value = 0.0; | |
1719 | ||
1720 | for (Int_t k = 0; k < loop; k++) { | |
1721 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1722 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1723 | Int_t nchannels = calROC->GetNchannels(); | |
1724 | for (Int_t ch = 0; ch < nchannels; ch++) { | |
1725 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[ch]; | |
1726 | if(value <= 0) calROC->SetValue(ch,1.0); | |
1727 | else { | |
1728 | calROC->SetValue(ch,0.0); | |
1729 | mean += value; | |
1730 | count++; | |
1731 | } | |
1732 | } // channels | |
1733 | } | |
1734 | if(count > 0) mean /= count; | |
1735 | return object; | |
1736 | } | |
1737 | //_____________________________________________________________________________ | |
1738 | void AliTRDCalibraFit::SetPeriodeFitPH(Int_t periodeFitPH) | |
55a288e5 | 1739 | { |
1740 | // | |
3a0f6479 | 1741 | // Set FitPH if 1 then each detector will be fitted |
55a288e5 | 1742 | // |
1743 | ||
3a0f6479 | 1744 | if (periodeFitPH > 0) { |
1745 | fFitPHPeriode = periodeFitPH; | |
55a288e5 | 1746 | } |
1747 | else { | |
3a0f6479 | 1748 | AliInfo("periodeFitPH must be higher than 0!"); |
55a288e5 | 1749 | } |
1750 | ||
1751 | } | |
55a288e5 | 1752 | //_____________________________________________________________________________ |
1753 | void AliTRDCalibraFit::SetBeginFitCharge(Float_t beginFitCharge) | |
1754 | { | |
1755 | // | |
1756 | // The fit of the deposited charge distribution begins at | |
1757 | // histo->Mean()/beginFitCharge | |
1758 | // You can here set beginFitCharge | |
1759 | // | |
1760 | ||
1761 | if (beginFitCharge > 0) { | |
1762 | fBeginFitCharge = beginFitCharge; | |
1763 | } | |
1764 | else { | |
1765 | AliInfo("beginFitCharge must be strict positif!"); | |
1766 | } | |
1767 | ||
1768 | } | |
1769 | ||
1770 | //_____________________________________________________________________________ | |
413153cb | 1771 | void AliTRDCalibraFit::SetT0Shift0(Float_t t0Shift) |
1772 | { | |
1773 | // | |
1774 | // The t0 calculated with the maximum positif slope is shift from t0Shift0 | |
1775 | // You can here set t0Shift0 | |
1776 | // | |
1777 | ||
1778 | if (t0Shift > 0) { | |
1779 | fT0Shift0 = t0Shift; | |
1780 | } | |
1781 | else { | |
1782 | AliInfo("t0Shift0 must be strict positif!"); | |
1783 | } | |
1784 | ||
1785 | } | |
1786 | ||
1787 | //_____________________________________________________________________________ | |
1788 | void AliTRDCalibraFit::SetT0Shift1(Float_t t0Shift) | |
55a288e5 | 1789 | { |
1790 | // | |
413153cb | 1791 | // The t0 calculated with the maximum of the amplification region is shift from t0Shift1 |
1792 | // You can here set t0Shift1 | |
55a288e5 | 1793 | // |
1794 | ||
1795 | if (t0Shift > 0) { | |
413153cb | 1796 | fT0Shift1 = t0Shift; |
55a288e5 | 1797 | } |
1798 | else { | |
1799 | AliInfo("t0Shift must be strict positif!"); | |
1800 | } | |
1801 | ||
1802 | } | |
1803 | ||
1804 | //_____________________________________________________________________________ | |
1805 | void AliTRDCalibraFit::SetRangeFitPRF(Float_t rangeFitPRF) | |
1806 | { | |
1807 | // | |
1808 | // The fit of the PRF is from -rangeFitPRF to rangeFitPRF | |
1809 | // You can here set rangeFitPRF | |
1810 | // | |
1811 | ||
1812 | if ((rangeFitPRF > 0) && | |
1813 | (rangeFitPRF <= 1.5)) { | |
1814 | fRangeFitPRF = rangeFitPRF; | |
1815 | } | |
1816 | else { | |
1817 | AliInfo("rangeFitPRF must be between 0 and 1.0"); | |
1818 | } | |
1819 | ||
1820 | } | |
1821 | ||
3a0f6479 | 1822 | //_____________________________________________________________________________ |
1823 | void AliTRDCalibraFit::SetMinEntries(Int_t minEntries) | |
1824 | { | |
1825 | // | |
1826 | // Minimum entries for fitting | |
1827 | // | |
1828 | ||
1829 | if (minEntries > 0) { | |
1830 | fMinEntries = minEntries; | |
1831 | } | |
1832 | else { | |
1833 | AliInfo("fMinEntries must be >= 0."); | |
1834 | } | |
1835 | ||
1836 | } | |
1837 | ||
55a288e5 | 1838 | //_____________________________________________________________________________ |
1839 | void AliTRDCalibraFit::SetRebin(Short_t rebin) | |
1840 | { | |
1841 | // | |
1842 | // Rebin with rebin time less bins the Ch histo | |
1843 | // You can set here rebin that should divide the number of bins of CH histo | |
1844 | // | |
1845 | ||
1846 | if (rebin > 0) { | |
1847 | fRebin = rebin; | |
1848 | AliInfo("You have to be sure that fRebin divides fNumberBinCharge used!"); | |
1849 | } | |
1850 | else { | |
1851 | AliInfo("You have to choose a positiv value!"); | |
1852 | } | |
1853 | ||
1854 | } | |
55a288e5 | 1855 | //_____________________________________________________________________________ |
3a0f6479 | 1856 | Bool_t AliTRDCalibraFit::FillVectorFit() |
55a288e5 | 1857 | { |
1858 | // | |
3a0f6479 | 1859 | // For the Fit functions fill the vector Fit |
55a288e5 | 1860 | // |
55a288e5 | 1861 | |
3a0f6479 | 1862 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 1863 | |
3a0f6479 | 1864 | Int_t ntotal = 1; |
1865 | if (GetChamber(fCountDet) == 2) { | |
1866 | ntotal = 1728; | |
55a288e5 | 1867 | } |
3a0f6479 | 1868 | else { |
1869 | ntotal = 2304; | |
55a288e5 | 1870 | } |
3a0f6479 | 1871 | |
1872 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
1873 | Float_t *coef = new Float_t[ntotal]; | |
1874 | for (Int_t i = 0; i < ntotal; i++) { | |
1875 | coef[i] = fCurrentCoefDetector[i]; | |
55a288e5 | 1876 | } |
3a0f6479 | 1877 | |
1878 | Int_t detector = fCountDet; | |
1879 | // Set | |
1880 | fitInfo->SetCoef(coef); | |
1881 | fitInfo->SetDetector(detector); | |
1882 | fVectorFit.Add((TObject *) fitInfo); | |
1883 | ||
1884 | return kTRUE; | |
55a288e5 | 1885 | |
3a0f6479 | 1886 | } |
55a288e5 | 1887 | //_____________________________________________________________________________ |
3a0f6479 | 1888 | Bool_t AliTRDCalibraFit::FillVectorFit2() |
55a288e5 | 1889 | { |
1890 | // | |
3a0f6479 | 1891 | // For the Fit functions fill the vector Fit |
55a288e5 | 1892 | // |
55a288e5 | 1893 | |
3a0f6479 | 1894 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 1895 | |
3a0f6479 | 1896 | Int_t ntotal = 1; |
1897 | if (GetChamber(fCountDet) == 2) { | |
1898 | ntotal = 1728; | |
55a288e5 | 1899 | } |
3a0f6479 | 1900 | else { |
1901 | ntotal = 2304; | |
55a288e5 | 1902 | } |
3a0f6479 | 1903 | |
1904 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
1905 | Float_t *coef = new Float_t[ntotal]; | |
1906 | for (Int_t i = 0; i < ntotal; i++) { | |
1907 | coef[i] = fCurrentCoefDetector2[i]; | |
55a288e5 | 1908 | } |
3a0f6479 | 1909 | |
1910 | Int_t detector = fCountDet; | |
1911 | // Set | |
1912 | fitInfo->SetCoef(coef); | |
1913 | fitInfo->SetDetector(detector); | |
1914 | fVectorFit2.Add((TObject *) fitInfo); | |
55a288e5 | 1915 | |
3a0f6479 | 1916 | return kTRUE; |
55a288e5 | 1917 | |
3a0f6479 | 1918 | } |
1919 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
1920 | Bool_t AliTRDCalibraFit::InitFit(Int_t nbins, Int_t i) | |
55a288e5 | 1921 | { |
1922 | // | |
3a0f6479 | 1923 | // Init the number of expected bins and fDect1[i] fDect2[i] |
55a288e5 | 1924 | // |
1925 | ||
3a0f6479 | 1926 | gStyle->SetPalette(1); |
1927 | gStyle->SetOptStat(1111); | |
1928 | gStyle->SetPadBorderMode(0); | |
1929 | gStyle->SetCanvasColor(10); | |
1930 | gStyle->SetPadLeftMargin(0.13); | |
1931 | gStyle->SetPadRightMargin(0.01); | |
1932 | ||
1933 | // Mode groups of pads: the total number of bins! | |
1934 | CalculNumberOfBinsExpected(i); | |
1935 | ||
1936 | // Quick verification that we have the good pad calibration mode! | |
1937 | if (fNumberOfBinsExpected != nbins) { | |
1938 | AliInfo("It doesn't correspond to the mode of pad group calibration!"); | |
1939 | return kFALSE; | |
55a288e5 | 1940 | } |
3a0f6479 | 1941 | |
1942 | // Security for fDebug 3 and 4 | |
1943 | if ((fDebugLevel >= 3) && | |
1944 | ((fDet[0] > 5) || | |
1945 | (fDet[1] > 4) || | |
1946 | (fDet[2] > 17))) { | |
1947 | AliInfo("This detector doesn't exit!"); | |
1948 | return kFALSE; | |
55a288e5 | 1949 | } |
1950 | ||
3a0f6479 | 1951 | // Determine fDet1 and fDet2 and set the fNfragZ and fNfragRphi for debug 3 and 4 |
1952 | CalculDect1Dect2(i); | |
55a288e5 | 1953 | |
3a0f6479 | 1954 | |
1955 | return kTRUE; | |
55a288e5 | 1956 | } |
3a0f6479 | 1957 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
1958 | Bool_t AliTRDCalibraFit::InitFitCH() | |
55a288e5 | 1959 | { |
1960 | // | |
3a0f6479 | 1961 | // Init the fVectorFitCH for normalisation |
1962 | // Init the histo for debugging | |
55a288e5 | 1963 | // |
1964 | ||
3a0f6479 | 1965 | gDirectory = gROOT; |
1966 | ||
1967 | fScaleFitFactor = 0.0; | |
1968 | fCurrentCoefDetector = new Float_t[2304]; | |
1969 | for (Int_t k = 0; k < 2304; k++) { | |
1970 | fCurrentCoefDetector[k] = 0.0; | |
1971 | } | |
1972 | fVectorFit.SetName("gainfactorscoefficients"); | |
55a288e5 | 1973 | |
3a0f6479 | 1974 | // fDebug == 0 nothing |
1975 | // fDebug == 1 and fFitVoir no histo | |
1976 | if (fDebugLevel == 1) { | |
1977 | if(!CheckFitVoir()) return kFALSE; | |
1978 | } | |
1979 | //Get the CalDet object | |
1980 | if(fAccCDB){ | |
1981 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
1982 | if (!cal) { | |
1983 | AliInfo("Could not get calibDB"); | |
1984 | return kFALSE; | |
55a288e5 | 1985 | } |
3a0f6479 | 1986 | if(fCalDet) delete fCalDet; |
1987 | fCalDet = new AliTRDCalDet(*(cal->GetGainFactorDet())); | |
55a288e5 | 1988 | } |
3a0f6479 | 1989 | else{ |
1990 | Float_t devalue = 1.0; | |
1991 | if(fCalDet) delete fCalDet; | |
1992 | fCalDet = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); | |
1993 | for(Int_t k = 0; k < 540; k++){ | |
1994 | fCalDet->SetValue(k,devalue); | |
55a288e5 | 1995 | } |
1996 | } | |
3a0f6479 | 1997 | return kTRUE; |
1998 | ||
55a288e5 | 1999 | } |
3a0f6479 | 2000 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2001 | Bool_t AliTRDCalibraFit::InitFitPH() | |
55a288e5 | 2002 | { |
2003 | // | |
3a0f6479 | 2004 | // Init the arrays of results |
2005 | // Init the histos for debugging | |
55a288e5 | 2006 | // |
55a288e5 | 2007 | |
3a0f6479 | 2008 | gDirectory = gROOT; |
2009 | fVectorFit.SetName("driftvelocitycoefficients"); | |
2010 | fVectorFit2.SetName("t0coefficients"); | |
55a288e5 | 2011 | |
3a0f6479 | 2012 | fCurrentCoefDetector = new Float_t[2304]; |
2013 | for (Int_t k = 0; k < 2304; k++) { | |
2014 | fCurrentCoefDetector[k] = 0.0; | |
2015 | } | |
2016 | ||
2017 | fCurrentCoefDetector2 = new Float_t[2304]; | |
2018 | for (Int_t k = 0; k < 2304; k++) { | |
2019 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2020 | } |
2021 | ||
3a0f6479 | 2022 | //fDebug == 0 nothing |
2023 | // fDebug == 1 and fFitVoir no histo | |
2024 | if (fDebugLevel == 1) { | |
2025 | if(!CheckFitVoir()) return kFALSE; | |
2026 | } | |
2027 | //Get the CalDet object | |
2028 | if(fAccCDB){ | |
2029 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2030 | if (!cal) { | |
2031 | AliInfo("Could not get calibDB"); | |
2032 | return kFALSE; | |
2033 | } | |
2034 | if(fCalDet) delete fCalDet; | |
2035 | if(fCalDet2) delete fCalDet2; | |
2036 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2037 | fCalDet2 = new AliTRDCalDet(*(cal->GetT0Det())); | |
2038 | } | |
2039 | else{ | |
2040 | Float_t devalue = 1.5; | |
2041 | Float_t devalue2 = 0.0; | |
2042 | if(fCalDet) delete fCalDet; | |
2043 | if(fCalDet2) delete fCalDet2; | |
2044 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2045 | fCalDet2 = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
2046 | for(Int_t k = 0; k < 540; k++){ | |
2047 | fCalDet->SetValue(k,devalue); | |
2048 | fCalDet2->SetValue(k,devalue2); | |
2049 | } | |
2050 | } | |
2051 | return kTRUE; | |
55a288e5 | 2052 | } |
3a0f6479 | 2053 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2054 | Bool_t AliTRDCalibraFit::InitFitPRF() | |
55a288e5 | 2055 | { |
2056 | // | |
3a0f6479 | 2057 | // Init the calibration mode (Nz, Nrphi), the histograms for |
2058 | // debugging the fit methods if fDebug > 0, | |
2059 | // | |
2060 | ||
2061 | gDirectory = gROOT; | |
2062 | fVectorFit.SetName("prfwidthcoefficients"); | |
2063 | ||
2064 | fCurrentCoefDetector = new Float_t[2304]; | |
2065 | for (Int_t k = 0; k < 2304; k++) { | |
2066 | fCurrentCoefDetector[k] = 0.0; | |
55a288e5 | 2067 | } |
2068 | ||
3a0f6479 | 2069 | // fDebug == 0 nothing |
2070 | // fDebug == 1 and fFitVoir no histo | |
2071 | if (fDebugLevel == 1) { | |
2072 | if(!CheckFitVoir()) return kFALSE; | |
2073 | } | |
2074 | return kTRUE; | |
55a288e5 | 2075 | } |
3a0f6479 | 2076 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2077 | Bool_t AliTRDCalibraFit::InitFitLinearFitter() | |
55a288e5 | 2078 | { |
2079 | // | |
3a0f6479 | 2080 | // Init the fCalDet, fVectorFit fCurrentCoefDetector |
55a288e5 | 2081 | // |
3a0f6479 | 2082 | |
2083 | gDirectory = gROOT; | |
2084 | ||
2085 | fCurrentCoefDetector = new Float_t[2304]; | |
2086 | fCurrentCoefDetector2 = new Float_t[2304]; | |
2087 | for (Int_t k = 0; k < 2304; k++) { | |
2088 | fCurrentCoefDetector[k] = 0.0; | |
2089 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2090 | } |
2091 | ||
3a0f6479 | 2092 | //printf("test0\n"); |
2093 | ||
2094 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2095 | if (!cal) { | |
2096 | AliInfo("Could not get calibDB"); | |
2097 | return kFALSE; | |
55a288e5 | 2098 | } |
2099 | ||
3a0f6479 | 2100 | //Get the CalDet object |
2101 | if(fAccCDB){ | |
2102 | if(fCalDet) delete fCalDet; | |
2103 | if(fCalDet2) delete fCalDet2; | |
2104 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2105 | //printf("test1\n"); | |
2106 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2107 | //printf("test2\n"); | |
2108 | for(Int_t k = 0; k < 540; k++){ | |
2109 | fCalDet2->SetValue(k,cal->GetOmegaTau(fCalDet->GetValue(k),-fMagneticField)); | |
2110 | } | |
2111 | //printf("test3\n"); | |
2112 | } | |
2113 | else{ | |
2114 | Float_t devalue = 1.5; | |
2115 | Float_t devalue2 = cal->GetOmegaTau(1.5,-fMagneticField); | |
2116 | if(fCalDet) delete fCalDet; | |
2117 | if(fCalDet2) delete fCalDet2; | |
2118 | //printf("test1\n"); | |
2119 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2120 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2121 | //printf("test2\n"); | |
2122 | for(Int_t k = 0; k < 540; k++){ | |
2123 | fCalDet->SetValue(k,devalue); | |
2124 | fCalDet2->SetValue(k,devalue2); | |
2125 | } | |
2126 | //printf("test3\n"); | |
2127 | } | |
55a288e5 | 2128 | return kTRUE; |
55a288e5 | 2129 | } |
2130 | ||
2131 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3a0f6479 | 2132 | void AliTRDCalibraFit::InitfCountDetAndfCount(Int_t i) |
55a288e5 | 2133 | { |
2134 | // | |
3a0f6479 | 2135 | // Init the current detector where we are fCountDet and the |
2136 | // next fCount for the functions Fit... | |
55a288e5 | 2137 | // |
2138 | ||
3a0f6479 | 2139 | // Loop on the Xbins of ch!! |
2140 | fCountDet = -1; // Current detector | |
2141 | fCount = 0; // To find the next detector | |
2142 | ||
2143 | // If fDebug >= 3 | |
2144 | if (fDebugLevel >= 3) { | |
2145 | // Set countdet to the detector | |
2146 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2147 | // Set counter to write at the end of the detector | |
2148 | fCount = fDect2; | |
2149 | // Get the right calib objects | |
2150 | SetCalROC(i); | |
2151 | } | |
2152 | if(fDebugLevel == 1) { | |
2153 | fCountDet = 0; | |
2154 | fCalibraMode->CalculXBins(fCountDet,i); | |
2155 | while(fCalibraMode->GetXbins(i) <=fFitVoir){ | |
2156 | fCountDet++; | |
2157 | fCalibraMode->CalculXBins(fCountDet,i); | |
2158 | } | |
2159 | fCount = fCalibraMode->GetXbins(i); | |
2160 | fCountDet--; | |
2161 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2162 | fCalibraMode->ModePadCalibration((Int_t) GetChamber(fCountDet),i); | |
2163 | fCalibraMode->ModePadFragmentation((Int_t) GetPlane(fCountDet) | |
2164 | ,(Int_t) GetChamber(fCountDet) | |
2165 | ,(Int_t) GetSector(fCountDet),i); | |
2166 | } | |
2167 | } | |
2168 | //_______________________________________________________________________________ | |
2169 | void AliTRDCalibraFit::CalculNumberOfBinsExpected(Int_t i) | |
2170 | { | |
2171 | // | |
2172 | // Calculate the number of bins expected (calibration groups) | |
2173 | // | |
2174 | ||
2175 | fNumberOfBinsExpected = 0; | |
55a288e5 | 2176 | fCalibraMode->ModePadCalibration(2,i); |
2177 | fCalibraMode->ModePadFragmentation(0,2,0,i); | |
2178 | fCalibraMode->SetDetChamb2(i); | |
3a0f6479 | 2179 | if (fDebugLevel > 1) { |
55a288e5 | 2180 | AliInfo(Form("For the chamber 2: %d",fCalibraMode->GetDetChamb2(i))); |
2181 | } | |
3a0f6479 | 2182 | fNumberOfBinsExpected += 6 * 18 * fCalibraMode->GetDetChamb2(i); |
55a288e5 | 2183 | fCalibraMode->ModePadCalibration(0,i); |
2184 | fCalibraMode->ModePadFragmentation(0,0,0,i); | |
2185 | fCalibraMode->SetDetChamb0(i); | |
3a0f6479 | 2186 | if (fDebugLevel > 1) { |
55a288e5 | 2187 | AliInfo(Form("For the other chamber 0: %d",fCalibraMode->GetDetChamb0(i))); |
2188 | } | |
3a0f6479 | 2189 | fNumberOfBinsExpected += 6 * 4 * 18 * fCalibraMode->GetDetChamb0(i); |
2190 | ||
2191 | } | |
2192 | //_______________________________________________________________________________ | |
2193 | void AliTRDCalibraFit::CalculDect1Dect2(Int_t i) | |
2194 | { | |
2195 | // | |
2196 | // Calculate the range of fits | |
2197 | // | |
55a288e5 | 2198 | |
3a0f6479 | 2199 | fDect1 = -1; |
2200 | fDect2 = -1; | |
2201 | if (fDebugLevel == 1) { | |
2202 | fDect1 = fFitVoir; | |
2203 | fDect2 = fDect1 +1; | |
55a288e5 | 2204 | } |
3a0f6479 | 2205 | if ((fDebugLevel == 2) || (fDebugLevel == 0)) { |
2206 | fDect1 = 0; | |
2207 | fDect2 = fNumberOfBinsExpected; | |
55a288e5 | 2208 | } |
3a0f6479 | 2209 | if (fDebugLevel >= 3) { |
2210 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2211 | fCalibraMode->CalculXBins(fCountDet,i); | |
2212 | fDect1 = fCalibraMode->GetXbins(i); | |
2213 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2214 | fCalibraMode->ModePadCalibration((Int_t) GetChamber(fCountDet),i); | |
2215 | fCalibraMode->ModePadFragmentation((Int_t) GetPlane(fCountDet) | |
2216 | ,(Int_t) GetChamber(fCountDet) | |
2217 | ,(Int_t) GetSector(fCountDet),i); | |
2218 | // Set for the next detector | |
2219 | fDect2 = fDect1 + fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
55a288e5 | 2220 | } |
55a288e5 | 2221 | } |
3a0f6479 | 2222 | //_______________________________________________________________________________ |
2223 | Bool_t AliTRDCalibraFit::CheckFitVoir() | |
55a288e5 | 2224 | { |
2225 | // | |
3a0f6479 | 2226 | // Check if fFitVoir is in the range |
55a288e5 | 2227 | // |
2228 | ||
3a0f6479 | 2229 | if (fFitVoir < fNumberOfBinsExpected) { |
2230 | AliInfo(Form("We will see the fit of the object %d",fFitVoir)); | |
55a288e5 | 2231 | } |
3a0f6479 | 2232 | else { |
2233 | AliInfo("fFitVoir is out of range of the histo!"); | |
2234 | return kFALSE; | |
2235 | } | |
2236 | return kTRUE; | |
55a288e5 | 2237 | } |
55a288e5 | 2238 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2239 | void AliTRDCalibraFit::UpdatefCountDetAndfCount(Int_t idect, Int_t i) | |
2240 | { | |
2241 | // | |
2242 | // See if we are in a new detector and update the | |
2243 | // variables fNfragZ and fNfragRphi if yes | |
3a0f6479 | 2244 | // Will never happen for only one detector (3 and 4) |
2245 | // Doesn't matter for 2 | |
2246 | // | |
2247 | if (fCount == idect) { | |
2248 | // On en est au detector | |
2249 | fCountDet += 1; | |
2250 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2251 | fCalibraMode->ModePadCalibration((Int_t) GetChamber(fCountDet),i); | |
2252 | fCalibraMode->ModePadFragmentation((Int_t) GetPlane(fCountDet) | |
2253 | ,(Int_t) GetChamber(fCountDet) | |
2254 | ,(Int_t) GetSector(fCountDet),i); | |
2255 | // Set for the next detector | |
2256 | fCount += fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
2257 | // calib objects | |
2258 | SetCalROC(i); | |
55a288e5 | 2259 | } |
55a288e5 | 2260 | } |
55a288e5 | 2261 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2262 | void AliTRDCalibraFit::ReconstructFitRowMinRowMax(Int_t idect, Int_t i) | |
2263 | { | |
2264 | // | |
2265 | // Reconstruct the min pad row, max pad row, min pad col and | |
2266 | // max pad col of the calibration group for the Fit functions | |
2267 | // | |
3a0f6479 | 2268 | if (fDebugLevel != 1) { |
2269 | fCalibraMode->ReconstructionRowPadGroup((Int_t) (idect-(fCount-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i)))),i); | |
55a288e5 | 2270 | } |
55a288e5 | 2271 | } |
55a288e5 | 2272 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3a0f6479 | 2273 | Bool_t AliTRDCalibraFit::NotEnoughStatisticCH(Int_t idect) |
55a288e5 | 2274 | { |
2275 | // | |
2276 | // For the case where there are not enough entries in the histograms | |
3a0f6479 | 2277 | // of the calibration group, the value present in the choosen database |
2278 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2279 | // | |
2280 | ||
2281 | if (fDebugLevel == 1) { | |
2282 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 2283 | } |
3a0f6479 | 2284 | |
2285 | else { | |
55a288e5 | 2286 | |
3a0f6479 | 2287 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
2288 | ,idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0))),fCountDet)); | |
2289 | ||
2290 | // Calcul the coef from the database choosen | |
2291 | CalculChargeCoefMean(kFALSE); | |
55a288e5 | 2292 | |
3a0f6479 | 2293 | //chamber 2, not chamber 2 |
2294 | Int_t factor = 0; | |
2295 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2296 | else factor = 16; | |
55a288e5 | 2297 | |
3a0f6479 | 2298 | // Fill the fCurrentCoefDetector with negative value to say: not fitted |
2299 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
2300 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
2301 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 2302 | } |
2303 | } | |
3a0f6479 | 2304 | |
2305 | //Put default value negative | |
2306 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2307 | fCurrentCoefE = 0.0; | |
2308 | ||
2309 | FillFillCH(idect); | |
2310 | } | |
2311 | ||
2312 | return kTRUE; | |
55a288e5 | 2313 | } |
2314 | ||
3a0f6479 | 2315 | |
2316 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2317 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPH(Int_t idect) | |
55a288e5 | 2318 | { |
2319 | // | |
3a0f6479 | 2320 | // For the case where there are not enough entries in the histograms |
2321 | // of the calibration group, the value present in the choosen database | |
2322 | // will be put. A negativ sign enables to know that a fit was not possible. | |
55a288e5 | 2323 | // |
3a0f6479 | 2324 | if (fDebugLevel == 1) { |
2325 | AliInfo("The element has not enough statistic to be fitted"); | |
2326 | } | |
2327 | else { | |
55a288e5 | 2328 | |
3a0f6479 | 2329 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
2330 | ,idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1))),fCountDet)); | |
55a288e5 | 2331 | |
3a0f6479 | 2332 | CalculVdriftCoefMean(); |
2333 | CalculT0CoefMean(); | |
55a288e5 | 2334 | |
3a0f6479 | 2335 | //chamber 2 and not chamber 2 |
2336 | Int_t factor = 0; | |
2337 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2338 | else factor = 16; | |
55a288e5 | 2339 | |
55a288e5 | 2340 | |
3a0f6479 | 2341 | // Fill the fCurrentCoefDetector 2 |
2342 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
2343 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
2344 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
2345 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[1]; | |
55a288e5 | 2346 | } |
2347 | } | |
55a288e5 | 2348 | |
3a0f6479 | 2349 | // Put the default value |
2350 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2351 | fCurrentCoefE = 0.0; | |
2352 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
2353 | fCurrentCoefE2 = 0.0; | |
2354 | ||
2355 | FillFillPH(idect); | |
2356 | ||
2357 | } | |
55a288e5 | 2358 | |
3a0f6479 | 2359 | return kTRUE; |
55a288e5 | 2360 | |
3a0f6479 | 2361 | } |
2362 | ||
2363 | ||
2364 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2365 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPRF(Int_t idect) | |
2366 | { | |
2367 | // | |
2368 | // For the case where there are not enough entries in the histograms | |
2369 | // of the calibration group, the value present in the choosen database | |
2370 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2371 | // | |
55a288e5 | 2372 | |
3a0f6479 | 2373 | if (fDebugLevel == 1) { |
2374 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 2375 | } |
3a0f6479 | 2376 | else { |
2377 | ||
2378 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" | |
2379 | ,idect-(fCount-(fCalibraMode->GetNfragZ(2)*fCalibraMode->GetNfragRphi(2))),fCountDet)); | |
2380 | ||
2381 | CalculPRFCoefMean(); | |
2382 | ||
2383 | // chamber 2 and not chamber 2 | |
2384 | Int_t factor = 0; | |
2385 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2386 | else factor = 16; | |
55a288e5 | 2387 | |
55a288e5 | 2388 | |
3a0f6479 | 2389 | // Fill the fCurrentCoefDetector |
2390 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
2391 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
2392 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -fCurrentCoef[1]; | |
55a288e5 | 2393 | } |
2394 | } | |
55a288e5 | 2395 | |
3a0f6479 | 2396 | // Put the default value |
2397 | fCurrentCoef[0] = -fCurrentCoef[1]; | |
2398 | fCurrentCoefE = 0.0; | |
2399 | ||
2400 | FillFillPRF(idect); | |
2401 | } | |
2402 | ||
2403 | return kTRUE; | |
55a288e5 | 2404 | |
3a0f6479 | 2405 | } |
2406 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2407 | Bool_t AliTRDCalibraFit::NotEnoughStatisticLinearFitter() | |
55a288e5 | 2408 | { |
2409 | // | |
3a0f6479 | 2410 | // For the case where there are not enough entries in the histograms |
2411 | // of the calibration group, the value present in the choosen database | |
2412 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2413 | // | |
2414 | ||
2415 | // Calcul the coef from the database choosen | |
2416 | CalculVdriftLorentzCoef(); | |
2417 | ||
2418 | Int_t factor = 0; | |
2419 | if(GetChamber(fCountDet) == 2) factor = 1728; | |
2420 | else factor = 2304; | |
2421 | ||
2422 | ||
2423 | // Fill the fCurrentCoefDetector | |
2424 | for (Int_t k = 0; k < factor; k++) { | |
2425 | fCurrentCoefDetector[k] = -TMath::Abs(fCurrentCoef[1]); | |
2426 | // should be negative | |
2427 | fCurrentCoefDetector2[k] = +TMath::Abs(fCurrentCoef2[1]); | |
55a288e5 | 2428 | } |
3a0f6479 | 2429 | |
2430 | ||
2431 | //Put default opposite sign | |
2432 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2433 | fCurrentCoefE = 0.0; | |
2434 | fCurrentCoef2[0] = +TMath::Abs(fCurrentCoef2[1]); | |
2435 | fCurrentCoefE2 = 0.0; | |
2436 | ||
2437 | FillFillLinearFitter(); | |
2438 | ||
2439 | return kTRUE; | |
55a288e5 | 2440 | } |
2441 | ||
3a0f6479 | 2442 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2443 | Bool_t AliTRDCalibraFit::FillInfosFitCH(Int_t idect) | |
55a288e5 | 2444 | { |
2445 | // | |
3a0f6479 | 2446 | // Fill the coefficients found with the fits or other |
2447 | // methods from the Fit functions | |
2448 | // | |
2449 | ||
2450 | if (fDebugLevel != 1) { | |
2451 | ||
2452 | Int_t factor = 0; | |
2453 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2454 | else factor = 16; | |
2455 | ||
2456 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
2457 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
2458 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
2459 | } | |
55a288e5 | 2460 | } |
3a0f6479 | 2461 | |
2462 | FillFillCH(idect); | |
2463 | ||
55a288e5 | 2464 | } |
55a288e5 | 2465 | |
3a0f6479 | 2466 | return kTRUE; |
2467 | ||
2468 | } | |
2469 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2470 | Bool_t AliTRDCalibraFit::FillInfosFitPH(Int_t idect) | |
55a288e5 | 2471 | { |
2472 | // | |
3a0f6479 | 2473 | // Fill the coefficients found with the fits or other |
2474 | // methods from the Fit functions | |
2475 | // | |
2476 | ||
2477 | if (fDebugLevel != 1) { | |
2478 | ||
2479 | Int_t factor = 0; | |
2480 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2481 | else factor = 16; | |
2482 | ||
2483 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
2484 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
2485 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
2486 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[0]; | |
2487 | } | |
2488 | } | |
2489 | FillFillPH(idect); | |
55a288e5 | 2490 | } |
3a0f6479 | 2491 | return kTRUE; |
55a288e5 | 2492 | } |
3a0f6479 | 2493 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2494 | Bool_t AliTRDCalibraFit::FillInfosFitPRF(Int_t idect) | |
55a288e5 | 2495 | { |
2496 | // | |
3a0f6479 | 2497 | // Fill the coefficients found with the fits or other |
2498 | // methods from the Fit functions | |
55a288e5 | 2499 | // |
3a0f6479 | 2500 | |
2501 | if (fDebugLevel != 1) { | |
55a288e5 | 2502 | |
3a0f6479 | 2503 | Int_t factor = 0; |
2504 | if(GetChamber(fCountDet) == 2) factor = 12; | |
2505 | else factor = 16; | |
2506 | ||
2507 | // Pointer to the branch | |
2508 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
2509 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
2510 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
2511 | } | |
55a288e5 | 2512 | } |
3a0f6479 | 2513 | FillFillPRF(idect); |
55a288e5 | 2514 | } |
55a288e5 | 2515 | |
3a0f6479 | 2516 | return kTRUE; |
55a288e5 | 2517 | |
3a0f6479 | 2518 | } |
2519 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2520 | Bool_t AliTRDCalibraFit::FillInfosFitLinearFitter() | |
55a288e5 | 2521 | { |
2522 | // | |
3a0f6479 | 2523 | // Fill the coefficients found with the fits or other |
2524 | // methods from the Fit functions | |
55a288e5 | 2525 | // |
3a0f6479 | 2526 | |
2527 | Int_t factor = 0; | |
2528 | if(GetChamber(fCountDet) == 2) factor = 1728; | |
2529 | else factor = 2304; | |
2530 | ||
2531 | // Pointer to the branch | |
2532 | for (Int_t k = 0; k < factor; k++) { | |
2533 | fCurrentCoefDetector[k] = fCurrentCoef[0]; | |
2534 | fCurrentCoefDetector2[k] = fCurrentCoef2[0]; | |
55a288e5 | 2535 | } |
3a0f6479 | 2536 | |
2537 | FillFillLinearFitter(); | |
2538 | ||
2539 | return kTRUE; | |
55a288e5 | 2540 | |
2541 | } | |
3a0f6479 | 2542 | //________________________________________________________________________________ |
2543 | void AliTRDCalibraFit::FillFillCH(Int_t idect) | |
55a288e5 | 2544 | { |
2545 | // | |
3a0f6479 | 2546 | // DebugStream and fVectorFit |
55a288e5 | 2547 | // |
2548 | ||
3a0f6479 | 2549 | // End of one detector |
2550 | if ((idect == (fCount-1))) { | |
2551 | FillVectorFit(); | |
2552 | // Reset | |
2553 | for (Int_t k = 0; k < 2304; k++) { | |
2554 | fCurrentCoefDetector[k] = 0.0; | |
2555 | } | |
55a288e5 | 2556 | } |
2557 | ||
3a0f6479 | 2558 | if(fDebugLevel > 1){ |
55a288e5 | 2559 | |
3a0f6479 | 2560 | if ( !fDebugStreamer ) { |
2561 | //debug stream | |
2562 | TDirectory *backup = gDirectory; | |
2563 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2564 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2565 | } | |
2566 | ||
2567 | Int_t detector = fCountDet; | |
2568 | Int_t caligroup = idect; | |
2569 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
2570 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
2571 | Short_t colmin = fCalibraMode->GetColMin(0); | |
2572 | Short_t colmax = fCalibraMode->GetColMax(0); | |
2573 | Float_t gf = fCurrentCoef[0]; | |
2574 | Float_t gfs = fCurrentCoef[1]; | |
2575 | Float_t gfE = fCurrentCoefE; | |
2576 | ||
413153cb | 2577 | (*fDebugStreamer) << "FillFillCH" << |
3a0f6479 | 2578 | "detector=" << detector << |
2579 | "caligroup=" << caligroup << | |
2580 | "rowmin=" << rowmin << | |
2581 | "rowmax=" << rowmax << | |
2582 | "colmin=" << colmin << | |
2583 | "colmax=" << colmax << | |
2584 | "gf=" << gf << | |
2585 | "gfs=" << gfs << | |
2586 | "gfE=" << gfE << | |
2587 | "\n"; | |
2588 | ||
2589 | } | |
2590 | } | |
2591 | //________________________________________________________________________________ | |
2592 | void AliTRDCalibraFit::FillFillPH(Int_t idect) | |
55a288e5 | 2593 | { |
2594 | // | |
3a0f6479 | 2595 | // DebugStream and fVectorFit and fVectorFit2 |
55a288e5 | 2596 | // |
3a0f6479 | 2597 | |
2598 | // End of one detector | |
2599 | if ((idect == (fCount-1))) { | |
2600 | FillVectorFit(); | |
2601 | FillVectorFit2(); | |
2602 | // Reset | |
2603 | for (Int_t k = 0; k < 2304; k++) { | |
2604 | fCurrentCoefDetector[k] = 0.0; | |
2605 | fCurrentCoefDetector2[k] = 0.0; | |
2606 | } | |
2607 | } | |
2608 | ||
2609 | if(fDebugLevel > 1){ | |
2610 | ||
2611 | if ( !fDebugStreamer ) { | |
2612 | //debug stream | |
2613 | TDirectory *backup = gDirectory; | |
2614 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2615 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2616 | } | |
2617 | ||
2618 | ||
2619 | Int_t detector = fCountDet; | |
2620 | Int_t caligroup = idect; | |
2621 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
2622 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
2623 | Short_t colmin = fCalibraMode->GetColMin(1); | |
2624 | Short_t colmax = fCalibraMode->GetColMax(1); | |
2625 | Float_t vf = fCurrentCoef[0]; | |
2626 | Float_t vs = fCurrentCoef[1]; | |
2627 | Float_t vfE = fCurrentCoefE; | |
2628 | Float_t t0f = fCurrentCoef2[0]; | |
2629 | Float_t t0s = fCurrentCoef2[1]; | |
2630 | Float_t t0E = fCurrentCoefE2; | |
2631 | ||
55a288e5 | 2632 | |
3a0f6479 | 2633 | |
413153cb | 2634 | (* fDebugStreamer) << "FillFillPH"<< |
3a0f6479 | 2635 | "detector="<<detector<< |
2636 | "caligroup="<<caligroup<< | |
2637 | "rowmin="<<rowmin<< | |
2638 | "rowmax="<<rowmax<< | |
2639 | "colmin="<<colmin<< | |
2640 | "colmax="<<colmax<< | |
2641 | "vf="<<vf<< | |
2642 | "vs="<<vs<< | |
2643 | "vfE="<<vfE<< | |
2644 | "t0f="<<t0f<< | |
2645 | "t0s="<<t0s<< | |
2646 | "t0E="<<t0E<< | |
2647 | "\n"; | |
2648 | } | |
55a288e5 | 2649 | |
2650 | } | |
3a0f6479 | 2651 | //________________________________________________________________________________ |
2652 | void AliTRDCalibraFit::FillFillPRF(Int_t idect) | |
2653 | { | |
2654 | // | |
2655 | // DebugStream and fVectorFit | |
2656 | // | |
55a288e5 | 2657 | |
3a0f6479 | 2658 | // End of one detector |
2659 | if ((idect == (fCount-1))) { | |
2660 | FillVectorFit(); | |
2661 | // Reset | |
2662 | for (Int_t k = 0; k < 2304; k++) { | |
2663 | fCurrentCoefDetector[k] = 0.0; | |
2664 | } | |
2665 | } | |
2666 | ||
2667 | ||
2668 | if(fDebugLevel > 1){ | |
2669 | ||
2670 | if ( !fDebugStreamer ) { | |
2671 | //debug stream | |
2672 | TDirectory *backup = gDirectory; | |
2673 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2674 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2675 | } | |
2676 | ||
2677 | Int_t detector = fCountDet; | |
2678 | Int_t plane = GetPlane(fCountDet); | |
2679 | Int_t caligroup = idect; | |
2680 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
2681 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
2682 | Short_t colmin = fCalibraMode->GetColMin(2); | |
2683 | Short_t colmax = fCalibraMode->GetColMax(2); | |
2684 | Float_t widf = fCurrentCoef[0]; | |
2685 | Float_t wids = fCurrentCoef[1]; | |
2686 | Float_t widfE = fCurrentCoefE; | |
2687 | ||
413153cb | 2688 | (* fDebugStreamer) << "FillFillPRF"<< |
3a0f6479 | 2689 | "detector="<<detector<< |
2690 | "plane="<<plane<< | |
2691 | "caligroup="<<caligroup<< | |
2692 | "rowmin="<<rowmin<< | |
2693 | "rowmax="<<rowmax<< | |
2694 | "colmin="<<colmin<< | |
2695 | "colmax="<<colmax<< | |
2696 | "widf="<<widf<< | |
2697 | "wids="<<wids<< | |
2698 | "widfE="<<widfE<< | |
2699 | "\n"; | |
2700 | } | |
2701 | ||
2702 | } | |
2703 | //________________________________________________________________________________ | |
2704 | void AliTRDCalibraFit::FillFillLinearFitter() | |
55a288e5 | 2705 | { |
2706 | // | |
3a0f6479 | 2707 | // DebugStream and fVectorFit |
55a288e5 | 2708 | // |
3a0f6479 | 2709 | |
2710 | // End of one detector | |
2711 | FillVectorFit(); | |
2712 | FillVectorFit2(); | |
2713 | ||
2714 | ||
2715 | // Reset | |
2716 | for (Int_t k = 0; k < 2304; k++) { | |
2717 | fCurrentCoefDetector[k] = 0.0; | |
2718 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2719 | } |
3a0f6479 | 2720 | |
55a288e5 | 2721 | |
3a0f6479 | 2722 | if(fDebugLevel > 1){ |
55a288e5 | 2723 | |
3a0f6479 | 2724 | if ( !fDebugStreamer ) { |
2725 | //debug stream | |
2726 | TDirectory *backup = gDirectory; | |
2727 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
2728 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2729 | } | |
2730 | ||
2731 | //Debug: comparaison of the different methods (okey for first time but not for iterative procedure) | |
2732 | AliTRDpadPlane *padplane = fGeo->GetPadPlane(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2733 | Float_t rowmd = (padplane->GetRow0()+padplane->GetRowEnd())/2.; | |
2734 | Float_t r = AliTRDgeometry::GetTime0(GetPlane(fCountDet)); | |
2735 | Float_t tiltangle = padplane->GetTiltingAngle(); | |
2736 | Int_t detector = fCountDet; | |
2737 | Int_t chamber = GetChamber(fCountDet); | |
2738 | Int_t plane = GetChamber(fCountDet); | |
2739 | Float_t vf = fCurrentCoef[0]; | |
2740 | Float_t vs = fCurrentCoef[1]; | |
2741 | Float_t vfE = fCurrentCoefE; | |
2742 | Float_t lorentzangler = fCurrentCoef2[0]; | |
e6381f8e | 2743 | Float_t elorentzangler = fCurrentCoefE2; |
3a0f6479 | 2744 | Float_t lorentzangles = fCurrentCoef2[1]; |
2745 | ||
413153cb | 2746 | (* fDebugStreamer) << "FillFillLinearFitter"<< |
3a0f6479 | 2747 | "detector="<<detector<< |
2748 | "chamber="<<chamber<< | |
2749 | "plane="<<plane<< | |
2750 | "rowmd="<<rowmd<< | |
2751 | "r="<<r<< | |
2752 | "tiltangle="<<tiltangle<< | |
2753 | "vf="<<vf<< | |
2754 | "vs="<<vs<< | |
2755 | "vfE="<<vfE<< | |
2756 | "lorentzangler="<<lorentzangler<< | |
e6381f8e | 2757 | "Elorentzangler="<<elorentzangler<< |
3a0f6479 | 2758 | "lorentzangles="<<lorentzangles<< |
2759 | "\n"; | |
2760 | } | |
2761 | ||
2762 | } | |
55a288e5 | 2763 | // |
2764 | //____________Calcul Coef Mean_________________________________________________ | |
2765 | // | |
55a288e5 | 2766 | //_____________________________________________________________________________ |
3a0f6479 | 2767 | Bool_t AliTRDCalibraFit::CalculT0CoefMean() |
55a288e5 | 2768 | { |
2769 | // | |
2770 | // For the detector Dect calcul the mean time 0 | |
2771 | // for the calibration group idect from the choosen database | |
2772 | // | |
2773 | ||
3a0f6479 | 2774 | fCurrentCoef2[1] = 0.0; |
2775 | if(fDebugLevel != 1){ | |
2776 | if((fCalibraMode->GetNz(1) > 0) || | |
2777 | (fCalibraMode->GetNrphi(1) > 0)) { | |
2778 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { | |
2779 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
2780 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); | |
55a288e5 | 2781 | } |
3a0f6479 | 2782 | } |
2783 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); | |
2784 | } | |
2785 | else { | |
2786 | if(!fAccCDB){ | |
2787 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
2788 | } | |
2789 | else{ | |
2790 | for(Int_t row = 0; row < fGeo->GetRowMax(GetPlane(fCountDet),GetChamber(fCountDet),GetSector(fCountDet)); row++){ | |
2791 | for(Int_t col = 0; col < fGeo->GetColMax(GetPlane(fCountDet)); col++){ | |
2792 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); | |
2793 | } | |
55a288e5 | 2794 | } |
3a0f6479 | 2795 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fGeo->GetRowMax(GetPlane(fCountDet),GetChamber(fCountDet),GetSector(fCountDet)))*(fGeo->GetColMax(GetPlane(fCountDet)))); |
55a288e5 | 2796 | } |
2797 | } | |
55a288e5 | 2798 | } |
55a288e5 | 2799 | return kTRUE; |
55a288e5 | 2800 | } |
2801 | ||
2802 | //_____________________________________________________________________________ | |
3a0f6479 | 2803 | Bool_t AliTRDCalibraFit::CalculChargeCoefMean(Bool_t vrai) |
55a288e5 | 2804 | { |
2805 | // | |
2806 | // For the detector Dect calcul the mean gain factor | |
2807 | // for the calibration group idect from the choosen database | |
2808 | // | |
2809 | ||
3a0f6479 | 2810 | fCurrentCoef[1] = 0.0; |
2811 | if(fDebugLevel != 1){ | |
2812 | if ((fCalibraMode->GetNz(0) > 0) || | |
2813 | (fCalibraMode->GetNrphi(0) > 0)) { | |
2814 | for (Int_t row = fCalibraMode->GetRowMin(0); row < fCalibraMode->GetRowMax(0); row++) { | |
2815 | for (Int_t col = fCalibraMode->GetColMin(0); col < fCalibraMode->GetColMax(0); col++) { | |
2816 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
2817 | if (vrai) fScaleFitFactor += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 2818 | } |
2819 | } | |
3a0f6479 | 2820 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0))); |
55a288e5 | 2821 | } |
3a0f6479 | 2822 | else { |
2823 | //Per detectors | |
2824 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
2825 | if (vrai) fScaleFitFactor += ((Float_t) fCalDet->GetValue(fCountDet))*(fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0)); | |
2826 | } | |
55a288e5 | 2827 | } |
55a288e5 | 2828 | return kTRUE; |
55a288e5 | 2829 | } |
55a288e5 | 2830 | //_____________________________________________________________________________ |
3a0f6479 | 2831 | Bool_t AliTRDCalibraFit::CalculPRFCoefMean() |
55a288e5 | 2832 | { |
2833 | // | |
2834 | // For the detector Dect calcul the mean sigma of pad response | |
2835 | // function for the calibration group idect from the choosen database | |
2836 | // | |
3a0f6479 | 2837 | |
2838 | fCurrentCoef[1] = 0.0; | |
2839 | if(fDebugLevel != 1){ | |
55a288e5 | 2840 | for (Int_t row = fCalibraMode->GetRowMin(2); row < fCalibraMode->GetRowMax(2); row++) { |
2841 | for (Int_t col = fCalibraMode->GetColMin(2); col < fCalibraMode->GetColMax(2); col++) { | |
3a0f6479 | 2842 | fCurrentCoef[1] += (Float_t) fCalROC->GetValue(col,row); |
55a288e5 | 2843 | } |
2844 | } | |
3a0f6479 | 2845 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(2)-fCalibraMode->GetColMin(2))*(fCalibraMode->GetRowMax(2)-fCalibraMode->GetRowMin(2))); |
55a288e5 | 2846 | } |
55a288e5 | 2847 | return kTRUE; |
55a288e5 | 2848 | } |
55a288e5 | 2849 | //_____________________________________________________________________________ |
3a0f6479 | 2850 | Bool_t AliTRDCalibraFit::CalculVdriftCoefMean() |
55a288e5 | 2851 | { |
2852 | // | |
2853 | // For the detector dect calcul the mean drift velocity for the | |
2854 | // calibration group idect from the choosen database | |
2855 | // | |
2856 | ||
3a0f6479 | 2857 | fCurrentCoef[1] = 0.0; |
2858 | if(fDebugLevel != 1){ | |
2859 | if ((fCalibraMode->GetNz(1) > 0) || | |
2860 | (fCalibraMode->GetNrphi(1) > 0)) { | |
2861 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { | |
2862 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
2863 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 2864 | } |
2865 | } | |
3a0f6479 | 2866 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); |
55a288e5 | 2867 | } |
3a0f6479 | 2868 | else { |
2869 | //per detectors | |
2870 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
2871 | } | |
55a288e5 | 2872 | } |
55a288e5 | 2873 | return kTRUE; |
55a288e5 | 2874 | } |
3a0f6479 | 2875 | //_____________________________________________________________________________ |
2876 | Bool_t AliTRDCalibraFit::CalculVdriftLorentzCoef() | |
2877 | { | |
2878 | // | |
2879 | // For the detector fCountDet, mean drift velocity and tan lorentzangle | |
2880 | // | |
2881 | ||
2882 | fCurrentCoef[1] = fCalDet->GetValue(fCountDet); | |
2883 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
55a288e5 | 2884 | |
3a0f6479 | 2885 | return kTRUE; |
2886 | } | |
55a288e5 | 2887 | //_____________________________________________________________________________ |
2888 | Float_t AliTRDCalibraFit::GetPRFDefault(Int_t plane) const | |
2889 | { | |
2890 | // | |
2891 | // Default width of the PRF if there is no database as reference | |
2892 | // | |
3a0f6479 | 2893 | switch(plane) |
2894 | { | |
2895 | // default database | |
2896 | //case 0: return 0.515; | |
2897 | //case 1: return 0.502; | |
2898 | //case 2: return 0.491; | |
2899 | //case 3: return 0.481; | |
2900 | //case 4: return 0.471; | |
2901 | //case 5: return 0.463; | |
2902 | //default: return 0.0; | |
2903 | ||
2904 | // fit database | |
2905 | case 0: return 0.538429; | |
2906 | case 1: return 0.524302; | |
2907 | case 2: return 0.511591; | |
2908 | case 3: return 0.500140; | |
2909 | case 4: return 0.489821; | |
2910 | case 5: return 0.480524; | |
2911 | default: return 0.0; | |
55a288e5 | 2912 | } |
3a0f6479 | 2913 | } |
2914 | //________________________________________________________________________________ | |
2915 | void AliTRDCalibraFit::SetCalROC(Int_t i) | |
2916 | { | |
2917 | // | |
2918 | // Set the calib object for fCountDet | |
2919 | // | |
2920 | ||
2921 | Float_t value = 0.0; | |
2922 | ||
2923 | //Get the CalDet object | |
2924 | if(fAccCDB){ | |
2925 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2926 | if (!cal) { | |
2927 | AliInfo("Could not get calibDB"); | |
2928 | return; | |
2929 | } | |
2930 | switch (i) | |
2931 | { | |
2932 | case 0: | |
2933 | if(fCalROC) delete fCalROC; | |
2934 | fCalROC = new AliTRDCalROC(*(cal->GetGainFactorROC(fCountDet))); | |
2935 | break; | |
2936 | case 1: | |
2937 | if(fCalROC) delete fCalROC; | |
2938 | if(fCalROC2) delete fCalROC2; | |
2939 | fCalROC = new AliTRDCalROC(*(cal->GetVdriftROC(fCountDet))); | |
2940 | fCalROC2 = new AliTRDCalROC(*(cal->GetT0ROC(fCountDet))); | |
2941 | break; | |
2942 | case 2: | |
2943 | if(fCalROC) delete fCalROC; | |
2944 | fCalROC = new AliTRDCalROC(*(cal->GetPRFROC(fCountDet))); break; | |
2945 | default: return; | |
2946 | } | |
55a288e5 | 2947 | } |
3a0f6479 | 2948 | else{ |
2949 | switch (i) | |
2950 | { | |
2951 | case 0: | |
2952 | if(fCalROC) delete fCalROC; | |
2953 | fCalROC = new AliTRDCalROC(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2954 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ | |
2955 | fCalROC->SetValue(k,1.0); | |
2956 | } | |
2957 | break; | |
2958 | case 1: | |
2959 | if(fCalROC) delete fCalROC; | |
2960 | if(fCalROC2) delete fCalROC2; | |
2961 | fCalROC = new AliTRDCalROC(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2962 | fCalROC2 = new AliTRDCalROC(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2963 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ | |
2964 | fCalROC->SetValue(k,1.0); | |
2965 | fCalROC2->SetValue(k,0.0); | |
2966 | } | |
2967 | break; | |
2968 | case 2: | |
2969 | if(fCalROC) delete fCalROC; | |
2970 | value = GetPRFDefault(GetPlane(fCountDet)); | |
2971 | fCalROC = new AliTRDCalROC(GetPlane(fCountDet),GetChamber(fCountDet)); | |
2972 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ | |
2973 | fCalROC->SetValue(k,value); | |
2974 | } | |
2975 | break; | |
2976 | default: return; | |
2977 | } | |
55a288e5 | 2978 | } |
2979 | ||
2980 | } | |
55a288e5 | 2981 | //____________Fit Methods______________________________________________________ |
2982 | ||
2983 | //_____________________________________________________________________________ | |
3a0f6479 | 2984 | void AliTRDCalibraFit::FitPente(TH1* projPH) |
55a288e5 | 2985 | { |
2986 | // | |
2987 | // Slope methode for the drift velocity | |
2988 | // | |
2989 | ||
2990 | // Constants | |
2991 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 2992 | Int_t binmax = 0; |
2993 | Int_t binmin = 0; | |
2994 | fPhd[0] = 0.0; | |
2995 | fPhd[1] = 0.0; | |
2996 | fPhd[2] = 0.0; | |
2997 | Int_t ju = 0; | |
2998 | fCurrentCoefE = 0.0; | |
2999 | fCurrentCoefE2 = 0.0; | |
3000 | fCurrentCoef[0] = 0.0; | |
3001 | fCurrentCoef2[0] = 0.0; | |
3002 | TLine *line = new TLine(); | |
55a288e5 | 3003 | |
3004 | // Some variables | |
3005 | TAxis *xpph = projPH->GetXaxis(); | |
3006 | Int_t nbins = xpph->GetNbins(); | |
3007 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
3008 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
3009 | Double_t widbins = (upedge - lowedge) / nbins; | |
3010 | Double_t limit = upedge + 0.5 * widbins; | |
3011 | Bool_t put = kTRUE; | |
3012 | ||
3013 | // Beginning of the signal | |
3014 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
3015 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
3016 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
3017 | } | |
55a288e5 | 3018 | binmax = (Int_t) pentea->GetMaximumBin(); |
55a288e5 | 3019 | if (binmax <= 1) { |
3020 | binmax = 2; | |
3021 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
3022 | } | |
3023 | if (binmax >= nbins) { | |
3024 | binmax = nbins-1; | |
3025 | put = kFALSE; | |
3026 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
3027 | } | |
3028 | pentea->Fit("pol2","0MR","",TMath::Max(pentea->GetBinCenter(binmax-1),0.0),pentea->GetBinCenter(binmax+1)); | |
3029 | Float_t l3P1am = pentea->GetFunction("pol2")->GetParameter(1); | |
3030 | Float_t l3P2am = pentea->GetFunction("pol2")->GetParameter(2); | |
3031 | Float_t l3P1amE = pentea->GetFunction("pol2")->GetParError(1); | |
3032 | Float_t l3P2amE = pentea->GetFunction("pol2")->GetParError(2); | |
3033 | if (l3P2am != 0) { | |
3034 | fPhd[0] = -(l3P1am / (2 * l3P2am)); | |
3035 | } | |
3036 | if(!fTakeTheMaxPH){ | |
3037 | if((l3P1am != 0.0) && (l3P2am != 0.0)){ | |
3a0f6479 | 3038 | fCurrentCoefE2 = (l3P1amE/l3P1am + l3P2amE/l3P2am)*fPhd[0]; |
55a288e5 | 3039 | } |
3040 | } | |
55a288e5 | 3041 | // Amplification region |
3042 | binmax = 0; | |
3043 | ju = 0; | |
3044 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 3045 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 3046 | binmax = kbin; |
3047 | ju = 1; | |
3048 | } | |
3049 | } | |
55a288e5 | 3050 | if (binmax <= 1) { |
3051 | binmax = 2; | |
3052 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
3053 | } | |
3054 | if (binmax >= nbins) { | |
3055 | binmax = nbins-1; | |
3056 | put = kFALSE; | |
3057 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
3058 | } | |
3059 | projPH->Fit("pol2","0MR","",TMath::Max(projPH->GetBinCenter(binmax-1),0.0),projPH->GetBinCenter(binmax+1)); | |
3060 | Float_t l3P1amf = projPH->GetFunction("pol2")->GetParameter(1); | |
3061 | Float_t l3P2amf = projPH->GetFunction("pol2")->GetParameter(2); | |
3062 | Float_t l3P1amfE = projPH->GetFunction("pol2")->GetParError(1); | |
3063 | Float_t l3P2amfE = projPH->GetFunction("pol2")->GetParError(2); | |
55a288e5 | 3064 | if (l3P2amf != 0) { |
3065 | fPhd[1] = -(l3P1amf / (2 * l3P2amf)); | |
3066 | } | |
3067 | if((l3P1amf != 0.0) && (l3P2amf != 0.0)){ | |
3a0f6479 | 3068 | fCurrentCoefE = (l3P1amfE/l3P1amf + l3P2amfE/l3P2amf)*fPhd[1]; |
55a288e5 | 3069 | } |
3070 | if(fTakeTheMaxPH){ | |
3a0f6479 | 3071 | fCurrentCoefE2 = fCurrentCoefE; |
55a288e5 | 3072 | } |
55a288e5 | 3073 | // Drift region |
3074 | TH1D *pente = new TH1D("pente","pente",projPH->GetNbinsX(),0,(Float_t) limit); | |
3075 | for (Int_t k = TMath::Min(binmax+4,projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
3076 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
3077 | } | |
3078 | binmin = 0; | |
3079 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
3080 | if (binmin <= 1) { | |
3081 | binmin = 2; | |
3082 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
3083 | } | |
3084 | if (binmin >= nbins) { | |
3085 | binmin = nbins-1; | |
3086 | put = kFALSE; | |
3087 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
3088 | } | |
55a288e5 | 3089 | pente->Fit("pol2" |
3090 | ,"0MR" | |
3091 | ,"" | |
3092 | ,TMath::Max(pente->GetBinCenter(binmin-1), 0.0) | |
3093 | ,TMath::Min(pente->GetBinCenter(binmin+1),(Double_t) limit)); | |
3094 | Float_t l3P1dr = pente->GetFunction("pol2")->GetParameter(1); | |
3095 | Float_t l3P2dr = pente->GetFunction("pol2")->GetParameter(2); | |
3096 | Float_t l3P1drE = pente->GetFunction("pol2")->GetParError(1); | |
3097 | Float_t l3P2drE = pente->GetFunction("pol2")->GetParError(2); | |
3098 | if (l3P2dr != 0) { | |
3099 | fPhd[2] = -(l3P1dr / (2 * l3P2dr)); | |
3100 | } | |
3101 | if((l3P1dr != 0.0) && (l3P2dr != 0.0)){ | |
3a0f6479 | 3102 | fCurrentCoefE += (l3P1drE/l3P1dr + l3P2drE/l3P2dr)*fPhd[2]; |
55a288e5 | 3103 | } |
413153cb | 3104 | Float_t fPhdt0 = 0.0; |
3105 | Float_t t0Shift = 0.0; | |
3106 | if(fTakeTheMaxPH) { | |
3107 | fPhdt0 = fPhd[1]; | |
3108 | t0Shift = fT0Shift1; | |
3109 | } | |
3110 | else { | |
3111 | fPhdt0 = fPhd[0]; | |
3112 | t0Shift = fT0Shift0; | |
3113 | } | |
55a288e5 | 3114 | |
3115 | if ((fPhd[2] > fPhd[0]) && | |
3116 | (fPhd[2] > fPhd[1]) && | |
3117 | (fPhd[1] > fPhd[0]) && | |
3118 | (put)) { | |
3a0f6479 | 3119 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
3120 | fNumberFitSuccess++; | |
3121 | ||
55a288e5 | 3122 | if (fPhdt0 >= 0.0) { |
413153cb | 3123 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; |
3a0f6479 | 3124 | if (fCurrentCoef2[0] < -1.0) { |
3125 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3126 | } |
3127 | } | |
3128 | else { | |
3a0f6479 | 3129 | fCurrentCoef2[0] = fCurrentCoef2[1]; |
55a288e5 | 3130 | } |
3a0f6479 | 3131 | |
55a288e5 | 3132 | } |
3133 | else { | |
3a0f6479 | 3134 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3135 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3136 | } |
3137 | ||
3a0f6479 | 3138 | if (fDebugLevel == 1) { |
55a288e5 | 3139 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
3140 | cpentei->cd(); | |
3141 | projPH->Draw(); | |
3142 | line->SetLineColor(2); | |
3143 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
3144 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
3145 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
3146 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
3147 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
3148 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 3149 | AliInfo(Form("fVriftCoef[1] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 3150 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
3151 | cpentei2->cd(); | |
3152 | pentea->Draw(); | |
3153 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
3154 | cpentei3->cd(); | |
3155 | pente->Draw(); | |
3156 | } | |
3a0f6479 | 3157 | else { |
55a288e5 | 3158 | delete pentea; |
55a288e5 | 3159 | delete pente; |
3160 | } | |
55a288e5 | 3161 | } |
55a288e5 | 3162 | //_____________________________________________________________________________ |
3a0f6479 | 3163 | void AliTRDCalibraFit::FitLagrangePoly(TH1* projPH) |
55a288e5 | 3164 | { |
3165 | // | |
3166 | // Slope methode but with polynomes de Lagrange | |
3167 | // | |
3168 | ||
3169 | // Constants | |
3170 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 3171 | Int_t binmax = 0; |
3172 | Int_t binmin = 0; | |
3173 | Double_t *x = new Double_t[5]; | |
3174 | Double_t *y = new Double_t[5]; | |
3175 | x[0] = 0.0; | |
3176 | x[1] = 0.0; | |
3177 | x[2] = 0.0; | |
3178 | x[3] = 0.0; | |
3179 | x[4] = 0.0; | |
3180 | y[0] = 0.0; | |
3181 | y[1] = 0.0; | |
3182 | y[2] = 0.0; | |
3183 | y[3] = 0.0; | |
3184 | y[4] = 0.0; | |
3185 | fPhd[0] = 0.0; | |
3186 | fPhd[1] = 0.0; | |
3187 | fPhd[2] = 0.0; | |
3188 | Int_t ju = 0; | |
3189 | fCurrentCoefE = 0.0; | |
3190 | fCurrentCoefE2 = 1.0; | |
3191 | fCurrentCoef[0] = 0.0; | |
3192 | fCurrentCoef2[0] = 0.0; | |
55a288e5 | 3193 | TLine *line = new TLine(); |
3194 | TF1 * polynome = 0x0; | |
3195 | TF1 * polynomea = 0x0; | |
3196 | TF1 * polynomeb = 0x0; | |
3197 | Double_t *c = 0x0; | |
3198 | ||
3199 | // Some variables | |
3200 | TAxis *xpph = projPH->GetXaxis(); | |
3201 | Int_t nbins = xpph->GetNbins(); | |
3202 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
3203 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
3204 | Double_t widbins = (upedge - lowedge) / nbins; | |
3205 | Double_t limit = upedge + 0.5 * widbins; | |
3206 | ||
3207 | ||
3208 | Bool_t put = kTRUE; | |
3209 | ||
3210 | // Beginning of the signal | |
3211 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
3212 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
3213 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
3214 | } | |
3215 | ||
3216 | binmax = (Int_t) pentea->GetMaximumBin(); | |
55a288e5 | 3217 | |
3218 | Double_t minnn = 0.0; | |
3219 | Double_t maxxx = 0.0; | |
3220 | ||
3a0f6479 | 3221 | Int_t kase = nbins-binmax; |
3222 | ||
3223 | switch(kase) | |
3224 | { | |
3225 | case 0: | |
3226 | put = kFALSE; | |
3227 | break; | |
3228 | case 1: | |
3229 | minnn = pentea->GetBinCenter(binmax-2); | |
3230 | maxxx = pentea->GetBinCenter(binmax); | |
3231 | x[0] = pentea->GetBinCenter(binmax-2); | |
3232 | x[1] = pentea->GetBinCenter(binmax-1); | |
3233 | x[2] = pentea->GetBinCenter(binmax); | |
3234 | y[0] = pentea->GetBinContent(binmax-2); | |
3235 | y[1] = pentea->GetBinContent(binmax-1); | |
3236 | y[2] = pentea->GetBinContent(binmax); | |
3237 | c = CalculPolynomeLagrange2(x,y); | |
3238 | AliInfo("At the limit for beginning!"); | |
3239 | break; | |
3240 | case 2: | |
3241 | minnn = pentea->GetBinCenter(binmax-2); | |
3242 | maxxx = pentea->GetBinCenter(binmax+1); | |
3243 | x[0] = pentea->GetBinCenter(binmax-2); | |
3244 | x[1] = pentea->GetBinCenter(binmax-1); | |
3245 | x[2] = pentea->GetBinCenter(binmax); | |
3246 | x[3] = pentea->GetBinCenter(binmax+1); | |
3247 | y[0] = pentea->GetBinContent(binmax-2); | |
3248 | y[1] = pentea->GetBinContent(binmax-1); | |
3249 | y[2] = pentea->GetBinContent(binmax); | |
3250 | y[3] = pentea->GetBinContent(binmax+1); | |
3251 | c = CalculPolynomeLagrange3(x,y); | |
3252 | break; | |
3253 | default: | |
3254 | switch(binmax){ | |
3255 | case 0: | |
3256 | put = kFALSE; | |
3257 | break; | |
3258 | case 1: | |
3259 | minnn = pentea->GetBinCenter(binmax); | |
3260 | maxxx = pentea->GetBinCenter(binmax+2); | |
3261 | x[0] = pentea->GetBinCenter(binmax); | |
3262 | x[1] = pentea->GetBinCenter(binmax+1); | |
3263 | x[2] = pentea->GetBinCenter(binmax+2); | |
3264 | y[0] = pentea->GetBinContent(binmax); | |
3265 | y[1] = pentea->GetBinContent(binmax+1); | |
3266 | y[2] = pentea->GetBinContent(binmax+2); | |
3267 | c = CalculPolynomeLagrange2(x,y); | |
3268 | break; | |
3269 | case 2: | |
3270 | minnn = pentea->GetBinCenter(binmax-1); | |
3271 | maxxx = pentea->GetBinCenter(binmax+2); | |
3272 | x[0] = pentea->GetBinCenter(binmax-1); | |
3273 | x[1] = pentea->GetBinCenter(binmax); | |
3274 | x[2] = pentea->GetBinCenter(binmax+1); | |
3275 | x[3] = pentea->GetBinCenter(binmax+2); | |
3276 | y[0] = pentea->GetBinContent(binmax-1); | |
3277 | y[1] = pentea->GetBinContent(binmax); | |
3278 | y[2] = pentea->GetBinContent(binmax+1); | |
3279 | y[3] = pentea->GetBinContent(binmax+2); | |
3280 | c = CalculPolynomeLagrange3(x,y); | |
3281 | break; | |
3282 | default: | |
3283 | minnn = pentea->GetBinCenter(binmax-2); | |
3284 | maxxx = pentea->GetBinCenter(binmax+2); | |
3285 | x[0] = pentea->GetBinCenter(binmax-2); | |
3286 | x[1] = pentea->GetBinCenter(binmax-1); | |
3287 | x[2] = pentea->GetBinCenter(binmax); | |
3288 | x[3] = pentea->GetBinCenter(binmax+1); | |
3289 | x[4] = pentea->GetBinCenter(binmax+2); | |
3290 | y[0] = pentea->GetBinContent(binmax-2); | |
3291 | y[1] = pentea->GetBinContent(binmax-1); | |
3292 | y[2] = pentea->GetBinContent(binmax); | |
3293 | y[3] = pentea->GetBinContent(binmax+1); | |
3294 | y[4] = pentea->GetBinContent(binmax+2); | |
3295 | c = CalculPolynomeLagrange4(x,y); | |
3296 | break; | |
3297 | } | |
3298 | break; | |
55a288e5 | 3299 | } |
3a0f6479 | 3300 | |
3301 | ||
55a288e5 | 3302 | if(put) { |
3303 | polynomeb = new TF1("polb","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minnn,maxxx); | |
3304 | polynomeb->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
3a0f6479 | 3305 | |
55a288e5 | 3306 | Double_t step = (maxxx-minnn)/10000; |
3307 | Double_t l = minnn; | |
3308 | Double_t maxvalue = 0.0; | |
3309 | Double_t placemaximum = minnn; | |
3310 | for(Int_t o = 0; o < 10000; o++){ | |
3311 | if(o == 0) maxvalue = polynomeb->Eval(l); | |
3312 | if(maxvalue < (polynomeb->Eval(l))){ | |
3313 | maxvalue = polynomeb->Eval(l); | |
3314 | placemaximum = l; | |
3315 | } | |
3316 | l += step; | |
3317 | } | |
3318 | fPhd[0] = placemaximum; | |
3319 | } | |
55a288e5 | 3320 | |
3321 | // Amplification region | |
3322 | binmax = 0; | |
3323 | ju = 0; | |
3324 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 3325 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 3326 | binmax = kbin; |
3327 | ju = 1; | |
3328 | } | |
3329 | } | |
3a0f6479 | 3330 | |
55a288e5 | 3331 | Double_t minn = 0.0; |
3332 | Double_t maxx = 0.0; | |
3a0f6479 | 3333 | x[0] = 0.0; |
3334 | x[1] = 0.0; | |
3335 | x[2] = 0.0; | |
3336 | x[3] = 0.0; | |
3337 | x[4] = 0.0; | |
3338 | y[0] = 0.0; | |
3339 | y[1] = 0.0; | |
3340 | y[2] = 0.0; | |
3341 | y[3] = 0.0; | |
3342 | y[4] = 0.0; | |
3343 | ||
3344 | Int_t kase1 = nbins - binmax; | |
55a288e5 | 3345 | |
3346 | //Determination of minn and maxx | |
3347 | //case binmax = nbins | |
3348 | //pol2 | |
3a0f6479 | 3349 | switch(kase1) |
3350 | { | |
3351 | case 0: | |
3352 | minn = projPH->GetBinCenter(binmax-2); | |
3353 | maxx = projPH->GetBinCenter(binmax); | |
3354 | x[0] = projPH->GetBinCenter(binmax-2); | |
3355 | x[1] = projPH->GetBinCenter(binmax-1); | |
3356 | x[2] = projPH->GetBinCenter(binmax); | |
3357 | y[0] = projPH->GetBinContent(binmax-2); | |
3358 | y[1] = projPH->GetBinContent(binmax-1); | |
3359 | y[2] = projPH->GetBinContent(binmax); | |
3360 | c = CalculPolynomeLagrange2(x,y); | |
3361 | //AliInfo("At the limit for the drift!"); | |
3362 | break; | |
3363 | case 1: | |
3364 | minn = projPH->GetBinCenter(binmax-2); | |
3365 | maxx = projPH->GetBinCenter(binmax+1); | |
3366 | x[0] = projPH->GetBinCenter(binmax-2); | |
3367 | x[1] = projPH->GetBinCenter(binmax-1); | |
3368 | x[2] = projPH->GetBinCenter(binmax); | |
3369 | x[3] = projPH->GetBinCenter(binmax+1); | |
3370 | y[0] = projPH->GetBinContent(binmax-2); | |
3371 | y[1] = projPH->GetBinContent(binmax-1); | |
3372 | y[2] = projPH->GetBinContent(binmax); | |
3373 | y[3] = projPH->GetBinContent(binmax+1); | |
3374 | c = CalculPolynomeLagrange3(x,y); | |
3375 | break; | |
3376 | default: | |
3377 | switch(binmax) | |
3378 | { | |
3379 | case 0: | |
3380 | put = kFALSE; | |
3381 | break; | |
3382 | case 1: | |
3383 | minn = projPH->GetBinCenter(binmax); | |
3384 | maxx = projPH->GetBinCenter(binmax+2); | |
3385 | x[0] = projPH->GetBinCenter(binmax); | |
3386 | x[1] = projPH->GetBinCenter(binmax+1); | |
3387 | x[2] = projPH->GetBinCenter(binmax+2); | |
3388 | y[0] = projPH->GetBinContent(binmax); | |
3389 | y[1] = projPH->GetBinContent(binmax+1); | |
3390 | y[2] = projPH->GetBinContent(binmax+2); | |
3391 | c = CalculPolynomeLagrange2(x,y); | |
3392 | break; | |
3393 | case 2: | |
3394 | minn = projPH->GetBinCenter(binmax-1); | |
3395 | maxx = projPH->GetBinCenter(binmax+2); | |
3396 | x[0] = projPH->GetBinCenter(binmax-1); | |
3397 | x[1] = projPH->GetBinCenter(binmax); | |
3398 | x[2] = projPH->GetBinCenter(binmax+1); | |
3399 | x[3] = projPH->GetBinCenter(binmax+2); | |
3400 | y[0] = projPH->GetBinContent(binmax-1); | |
3401 | y[1] = projPH->GetBinContent(binmax); | |
3402 | y[2] = projPH->GetBinContent(binmax+1); | |
3403 | y[3] = projPH->GetBinContent(binmax+2); | |
3404 | c = CalculPolynomeLagrange3(x,y); | |
3405 | break; | |
3406 | default: | |
3407 | minn = projPH->GetBinCenter(binmax-2); | |
3408 | maxx = projPH->GetBinCenter(binmax+2); | |
3409 | x[0] = projPH->GetBinCenter(binmax-2); | |
3410 | x[1] = projPH->GetBinCenter(binmax-1); | |
3411 | x[2] = projPH->GetBinCenter(binmax); | |
3412 | x[3] = projPH->GetBinCenter(binmax+1); | |
3413 | x[4] = projPH->GetBinCenter(binmax+2); | |
3414 | y[0] = projPH->GetBinContent(binmax-2); | |
3415 | y[1] = projPH->GetBinContent(binmax-1); | |
3416 | y[2] = projPH->GetBinContent(binmax); | |
3417 | y[3] = projPH->GetBinContent(binmax+1); | |
3418 | y[4] = projPH->GetBinContent(binmax+2); | |
3419 | c = CalculPolynomeLagrange4(x,y); | |
3420 | break; | |
3421 | } | |
3422 | break; | |
55a288e5 | 3423 | } |
3a0f6479 | 3424 | |
55a288e5 | 3425 | if(put) { |
3426 | polynomea = new TF1("pola","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minn,maxx); | |
3427 | polynomea->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
3a0f6479 | 3428 | |
55a288e5 | 3429 | Double_t step = (maxx-minn)/1000; |
3430 | Double_t l = minn; | |
3431 | Double_t maxvalue = 0.0; | |
3432 | Double_t placemaximum = minn; | |
3433 | for(Int_t o = 0; o < 1000; o++){ | |
3434 | if(o == 0) maxvalue = polynomea->Eval(l); | |
3435 | if(maxvalue < (polynomea->Eval(l))){ | |
3436 | maxvalue = polynomea->Eval(l); | |
3437 | placemaximum = l; | |
3438 | } | |
3439 | l += step; | |
3440 | } | |
3441 | fPhd[1] = placemaximum; | |
3442 | } | |
3443 | ||
55a288e5 | 3444 | // Drift region |
3445 | TH1D *pente = new TH1D("pente","pente", projPH->GetNbinsX(),0,(Float_t) limit); | |
3446 | for (Int_t k = TMath::Min(binmax+4, projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
3447 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
3448 | } | |
3449 | binmin = 0; | |
3450 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
3451 | ||
3452 | //should not happen | |
3453 | if (binmin <= 1) { | |
3454 | binmin = 2; | |
3455 | put = 1; | |
3456 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
3457 | } | |
3458 | ||
3459 | //check | |
3460 | if((projPH->GetBinContent(binmin)-projPH->GetBinError(binmin)) < (projPH->GetBinContent(binmin+1))) put = kFALSE; | |
3461 | if((projPH->GetBinContent(binmin)+projPH->GetBinError(binmin)) > (projPH->GetBinContent(binmin-1))) put = kFALSE; | |
3a0f6479 | 3462 | |
3463 | x[0] = 0.0; | |
3464 | x[1] = 0.0; | |
3465 | x[2] = 0.0; | |
3466 | x[3] = 0.0; | |
3467 | x[4] = 0.0; | |
3468 | y[0] = 0.0; | |
3469 | y[1] = 0.0; | |
3470 | y[2] = 0.0; | |
3471 | y[3] = 0.0; | |
3472 | y[4] = 0.0; | |
55a288e5 | 3473 | Double_t min = 0.0; |
3474 | Double_t max = 0.0; | |
3475 | Bool_t case1 = kFALSE; | |
3476 | Bool_t case2 = kFALSE; | |
3477 | Bool_t case4 = kFALSE; | |
3478 | ||
3479 | //Determination of min and max | |
3480 | //case binmin <= nbins-3 | |
3481 | //pol4 case 3 | |
3482 | if((binmin <= (nbins-3)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3483 | min = pente->GetBinCenter(binmin-2); | |
3484 | max = pente->GetBinCenter(binmin+2); | |
3485 | x[0] = pente->GetBinCenter(binmin-2); | |
3486 | x[1] = pente->GetBinCenter(binmin-1); | |
3487 | x[2] = pente->GetBinCenter(binmin); | |
3488 | x[3] = pente->GetBinCenter(binmin+1); | |
3489 | x[4] = pente->GetBinCenter(binmin+2); | |
3490 | y[0] = pente->GetBinContent(binmin-2); | |
3491 | y[1] = pente->GetBinContent(binmin-1); | |
3492 | y[2] = pente->GetBinContent(binmin); | |
3493 | y[3] = pente->GetBinContent(binmin+1); | |
3494 | y[4] = pente->GetBinContent(binmin+2); | |
3495 | //Calcul the polynome de Lagrange | |
3496 | c = CalculPolynomeLagrange4(x,y); | |
3497 | //richtung +/- | |
3498 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && | |
3499 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) put = kFALSE; | |
3500 | if(((binmin+3) <= (nbins-1)) && | |
3501 | (pente->GetBinContent(binmin+3) <= pente->GetBinContent(binmin+2)) && | |
3502 | ((binmin-3) >= TMath::Min(binmax+4, projPH->GetNbinsX())) && | |
3503 | (pente->GetBinContent(binmin-3) <= pente->GetBinContent(binmin-2))) put = kFALSE; | |
3504 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && | |
3505 | (pente->GetBinContent(binmin-2) > pente->GetBinContent(binmin-1))) case1 = kTRUE; | |
3506 | if((pente->GetBinContent(binmin+2) > pente->GetBinContent(binmin+1)) && | |
3507 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) case4 = kTRUE; | |
3508 | } | |
3509 | //case binmin = nbins-2 | |
3510 | //pol3 case 1 | |
3511 | if(((binmin == (nbins-2)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
3512 | (case1)){ | |
3513 | min = pente->GetBinCenter(binmin-2); | |
3514 | max = pente->GetBinCenter(binmin+1); | |
3515 | x[0] = pente->GetBinCenter(binmin-2); | |
3516 | x[1] = pente->GetBinCenter(binmin-1); | |
3517 | x[2] = pente->GetBinCenter(binmin); | |
3518 | x[3] = pente->GetBinCenter(binmin+1); | |
3519 | y[0] = pente->GetBinContent(binmin-2); | |
3520 | y[1] = pente->GetBinContent(binmin-1); | |
3521 | y[2] = pente->GetBinContent(binmin); | |
3522 | y[3] = pente->GetBinContent(binmin+1); | |
3523 | //Calcul the polynome de Lagrange | |
3524 | c = CalculPolynomeLagrange3(x,y); | |
3525 | //richtung +: nothing | |
3526 | //richtung - | |
3527 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) case2 = kTRUE; | |
3528 | } | |
3529 | //pol3 case 4 | |
3530 | if(((binmin <= (nbins-3)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
3531 | (case4)){ | |
3532 | min = pente->GetBinCenter(binmin-1); | |
3533 | max = pente->GetBinCenter(binmin+2); | |
3534 | x[0] = pente->GetBinCenter(binmin-1); | |
3535 | x[1] = pente->GetBinCenter(binmin); | |
3536 | x[2] = pente->GetBinCenter(binmin+1); | |
3537 | x[3] = pente->GetBinCenter(binmin+2); | |
3538 | y[0] = pente->GetBinContent(binmin-1); | |
3539 | y[1] = pente->GetBinContent(binmin); | |
3540 | y[2] = pente->GetBinContent(binmin+1); | |
3541 | y[3] = pente->GetBinContent(binmin+2); | |
3542 | //Calcul the polynome de Lagrange | |
3543 | c = CalculPolynomeLagrange3(x,y); | |
3544 | //richtung + | |
3545 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) case2 = kTRUE; | |
3546 | } | |
3547 | //pol2 case 5 | |
3548 | if((binmin <= (nbins-3)) && (binmin == TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3549 | min = pente->GetBinCenter(binmin); | |
3550 | max = pente->GetBinCenter(binmin+2); | |
3551 | x[0] = pente->GetBinCenter(binmin); | |
3552 | x[1] = pente->GetBinCenter(binmin+1); | |
3553 | x[2] = pente->GetBinCenter(binmin+2); | |
3554 | y[0] = pente->GetBinContent(binmin); | |
3555 | y[1] = pente->GetBinContent(binmin+1); | |
3556 | y[2] = pente->GetBinContent(binmin+2); | |
3557 | //Calcul the polynome de Lagrange | |
3558 | c = CalculPolynomeLagrange2(x,y); | |
3559 | //richtung + | |
3560 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) put = kFALSE; | |
3561 | } | |
3562 | //pol2 case 2 | |
3563 | if(((binmin == (nbins-2)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
3564 | (case2)){ | |
3565 | min = pente->GetBinCenter(binmin-1); | |
3566 | max = pente->GetBinCenter(binmin+1); | |
3567 | x[0] = pente->GetBinCenter(binmin-1); | |
3568 | x[1] = pente->GetBinCenter(binmin); | |
3569 | x[2] = pente->GetBinCenter(binmin+1); | |
3570 | y[0] = pente->GetBinContent(binmin-1); | |
3571 | y[1] = pente->GetBinContent(binmin); | |
3572 | y[2] = pente->GetBinContent(binmin+1); | |
3573 | //Calcul the polynome de Lagrange | |
3574 | c = CalculPolynomeLagrange2(x,y); | |
3575 | //richtung +: nothing | |
3576 | //richtung -: nothing | |
3577 | } | |
3578 | //case binmin = nbins-1 | |
3579 | //pol2 case 0 | |
3580 | if((binmin == (nbins-1)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3581 | min = pente->GetBinCenter(binmin-2); | |
3582 | max = pente->GetBinCenter(binmin); | |
3583 | x[0] = pente->GetBinCenter(binmin-2); | |
3584 | x[1] = pente->GetBinCenter(binmin-1); | |
3585 | x[2] = pente->GetBinCenter(binmin); | |
3586 | y[0] = pente->GetBinContent(binmin-2); | |
3587 | y[1] = pente->GetBinContent(binmin-1); | |
3588 | y[2] = pente->GetBinContent(binmin); | |
3589 | //Calcul the polynome de Lagrange | |
3590 | c = CalculPolynomeLagrange2(x,y); | |
3a0f6479 | 3591 | //AliInfo("At the limit for the drift!"); |
55a288e5 | 3592 | //fluctuation too big! |
3593 | //richtung +: nothing | |
3594 | //richtung - | |
3595 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) put = kFALSE; | |
3596 | } | |
3597 | if((binmin == (nbins-1)) && ((binmin-2) < TMath::Min(binmax+4, projPH->GetNbinsX()))) { | |
3598 | put = kFALSE; | |
3599 | AliInfo("At the limit for the drift and not usable!"); | |
3600 | } | |
3601 | ||
3602 | //pass | |
3603 | if((binmin == (nbins-2)) && ((binmin-1) < TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3604 | put = kFALSE; | |
3605 | AliInfo("For the drift...problem!"); | |
3606 | } | |
55a288e5 | 3607 | //pass but should not happen |
3608 | if((binmin <= (nbins-3)) && (binmin < TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
3609 | put = kFALSE; | |
3610 | AliInfo("For the drift...problem!"); | |
3611 | } | |
3a0f6479 | 3612 | |
55a288e5 | 3613 | if(put) { |
3614 | polynome = new TF1("pol","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",min,max); | |
3615 | polynome->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
55a288e5 | 3616 | //AliInfo(Form("GetMinimum of the function %f",polynome->GetMinimumX())); |
3617 | Double_t step = (max-min)/1000; | |
3618 | Double_t l = min; | |
3619 | Double_t minvalue = 0.0; | |
3620 | Double_t placeminimum = min; | |
3621 | for(Int_t o = 0; o < 1000; o++){ | |
3622 | if(o == 0) minvalue = polynome->Eval(l); | |
3623 | if(minvalue > (polynome->Eval(l))){ | |
3624 | minvalue = polynome->Eval(l); | |
3625 | placeminimum = l; | |
3626 | } | |
3627 | l += step; | |
3628 | } | |
3629 | fPhd[2] = placeminimum; | |
3630 | } | |
3a0f6479 | 3631 | |
413153cb | 3632 | Float_t fPhdt0 = 0.0; |
3633 | Float_t t0Shift = 0.0; | |
3634 | if(fTakeTheMaxPH) { | |
3635 | fPhdt0 = fPhd[1]; | |
3636 | t0Shift = fT0Shift1; | |
3637 | } | |
3638 | else { | |
3639 | fPhdt0 = fPhd[0]; | |
3640 | t0Shift = fT0Shift0; | |
3641 | } | |
55a288e5 | 3642 | |
3643 | if ((fPhd[2] > fPhd[0]) && | |
3644 | (fPhd[2] > fPhd[1]) && | |
3645 | (fPhd[1] > fPhd[0]) && | |
3646 | (put)) { | |
3a0f6479 | 3647 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
3648 | fNumberFitSuccess++; | |
55a288e5 | 3649 | if (fPhdt0 >= 0.0) { |
413153cb | 3650 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; |
3a0f6479 | 3651 | if (fCurrentCoef2[0] < -1.0) { |
3652 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3653 | } |
3654 | } | |
3655 | else { | |
3a0f6479 | 3656 | fCurrentCoef2[0] = fCurrentCoef2[1]; |
55a288e5 | 3657 | } |
3658 | } | |
3659 | else { | |
3a0f6479 | 3660 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3661 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
3662 | //printf("Fit failed!\n"); | |
55a288e5 | 3663 | } |
3664 | ||
3a0f6479 | 3665 | if (fDebugLevel == 1) { |
55a288e5 | 3666 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
3667 | cpentei->cd(); | |
3668 | projPH->Draw(); | |
3669 | line->SetLineColor(2); | |
3670 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
3671 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
3672 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
3673 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
3674 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
3675 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 3676 | AliInfo(Form("fVriftCoef[3] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 3677 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
3678 | cpentei2->cd(); | |
3679 | pentea->Draw(); | |
3680 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
3681 | cpentei3->cd(); | |
3682 | pente->Draw(); | |
3683 | } | |
3a0f6479 | 3684 | else { |
55a288e5 | 3685 | delete pentea; |
3686 | delete pente; | |
3687 | delete polynome; | |
3688 | delete polynomea; | |
3689 | delete polynomeb; | |
3690 | } | |
3a0f6479 | 3691 | |
55a288e5 | 3692 | projPH->SetDirectory(0); |
3693 | ||
3694 | } | |
3695 | ||
3696 | //_____________________________________________________________________________ | |
3697 | void AliTRDCalibraFit::FitPH(TH1* projPH, Int_t idect) | |
3698 | { | |
3699 | // | |
3700 | // Fit methode for the drift velocity | |
3701 | // | |
3702 | ||
3703 | // Constants | |
3704 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3705 | ||
3706 | // Some variables | |
3707 | TAxis *xpph = projPH->GetXaxis(); | |
3708 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
3709 | ||
3710 | TF1 *fPH = new TF1("fPH",AliTRDCalibraFit::PH,-0.05,3.2,6); | |
3711 | fPH->SetParameter(0,0.469); // Scaling | |
3712 | fPH->SetParameter(1,0.18); // Start | |
3713 | fPH->SetParameter(2,0.0857325); // AR | |
3714 | fPH->SetParameter(3,1.89); // DR | |
3715 | fPH->SetParameter(4,0.08); // QA/QD | |
3716 | fPH->SetParameter(5,0.0); // Baseline | |
3717 | ||
3718 | TLine *line = new TLine(); | |
3719 | ||
3a0f6479 | 3720 | fCurrentCoef[0] = 0.0; |
3721 | fCurrentCoef2[0] = 0.0; | |
3722 | fCurrentCoefE = 0.0; | |
3723 | fCurrentCoefE2 = 0.0; | |
55a288e5 | 3724 | |
3725 | if (idect%fFitPHPeriode == 0) { | |
3726 | ||
3a0f6479 | 3727 | AliInfo(Form("The detector %d will be fitted",idect)); |
55a288e5 | 3728 | fPH->SetParameter(0,(projPH->Integral()-(projPH->GetBinContent(1)*projPH->GetNbinsX())) * 0.00028); // Scaling |
3729 | fPH->SetParameter(1,fPhd[0] - 0.1); // Start | |
3730 | fPH->SetParameter(2,fPhd[1] - fPhd[0]); // AR | |
3731 | fPH->SetParameter(3,fPhd[2] - fPhd[1]); // DR | |
3732 | fPH->SetParameter(4,0.225); // QA/QD | |
3733 | fPH->SetParameter(5,(Float_t) projPH->GetBinContent(1)); | |
3734 | ||
3a0f6479 | 3735 | if (fDebugLevel != 1) { |
55a288e5 | 3736 | projPH->Fit(fPH,"0M","",0.0,upedge); |
3737 | } | |
3a0f6479 | 3738 | else { |
55a288e5 | 3739 | TCanvas *cpente = new TCanvas("cpente","cpente",50,50,600,800); |
3740 | cpente->cd(); | |
3741 | projPH->Fit(fPH,"M+","",0.0,upedge); | |
3742 | projPH->Draw("E0"); | |
3743 | line->SetLineColor(4); | |
3744 | line->DrawLine(fPH->GetParameter(1) | |
3745 | ,0 | |
3746 | ,fPH->GetParameter(1) | |
3747 | ,projPH->GetMaximum()); | |
3748 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2) | |
3749 | ,0 | |
3750 | ,fPH->GetParameter(1)+fPH->GetParameter(2) | |
3751 | ,projPH->GetMaximum()); | |
3752 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
3753 | ,0 | |
3754 | ,fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
3755 | ,projPH->GetMaximum()); | |
3756 | } | |
3757 | ||
3758 | if (fPH->GetParameter(3) != 0) { | |
3a0f6479 | 3759 | fNumberFitSuccess++; |
3760 | fCurrentCoef[0] = kDrWidth / (fPH->GetParameter(3)); | |
3761 | fCurrentCoefE = (fPH->GetParError(3)/fPH->GetParameter(3))*fCurrentCoef[0]; | |
3762 | fCurrentCoef2[0] = fPH->GetParameter(1); | |
3763 | fCurrentCoefE2 = fPH->GetParError(1); | |
55a288e5 | 3764 | } |
3765 | else { | |
3a0f6479 | 3766 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3767 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3768 | } |
3a0f6479 | 3769 | |
55a288e5 | 3770 | } |
55a288e5 | 3771 | else { |
3772 | ||
3a0f6479 | 3773 | // Put the default value |
3774 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3775 | fCurrentCoef2[0] = fCurrentCoef2[1]; | |
55a288e5 | 3776 | } |
3777 | ||
3a0f6479 | 3778 | if (fDebugLevel != 1) { |
55a288e5 | 3779 | delete fPH; |
3780 | } | |
3781 | ||
3782 | } | |
55a288e5 | 3783 | //_____________________________________________________________________________ |
3a0f6479 | 3784 | Bool_t AliTRDCalibraFit::FitPRFGausMI(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nBins, Float_t xMin, Float_t xMax) |
55a288e5 | 3785 | { |
3786 | // | |
3787 | // Fit methode for the sigma of the pad response function | |
3788 | // | |
3a0f6479 | 3789 | |
3790 | TVectorD param(3); | |
55a288e5 | 3791 | |
3a0f6479 | 3792 | fCurrentCoef[0] = 0.0; |
3793 | fCurrentCoefE = 0.0; | |
3794 | ||
3795 | Double_t ret = FitGausMI(arraye, arraym, arrayme, nBins, xMin, xMax,¶m); | |
3796 | ||
3797 | if(ret == -4){ | |
3798 | fCurrentCoef[0] = -fCurrentCoef[1]; | |
3799 | return kFALSE; | |
3800 | } | |
3801 | else { | |
3802 | fNumberFitSuccess++; | |
3803 | fCurrentCoef[0] = param[2]; | |
3804 | fCurrentCoefE = ret; | |
3805 | return kTRUE; | |
3806 | } | |
3807 | } | |
3808 | //_____________________________________________________________________________ | |
3809 | 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) | |
3810 | { | |
3811 | // | |
3812 | // Fit methode for the sigma of the pad response function | |
3813 | // | |
3814 | ||
3815 | //We should have at least 3 points | |
3816 | if(nBins <=3) return -4.0; | |
3817 | ||
3818 | TLinearFitter fitter(3,"pol2"); | |
3819 | fitter.StoreData(kFALSE); | |
3820 | fitter.ClearPoints(); | |
3821 | TVectorD par(3); | |
3822 | Float_t binWidth = (xMax-xMin)/(Float_t)nBins; | |
3823 | Float_t entries = 0; | |
3824 | Int_t nbbinwithentries = 0; | |
3825 | for (Int_t i=0; i<nBins; i++){ | |
3826 | entries+=arraye[i]; | |
3827 | if(arraye[i] > 15) nbbinwithentries++; | |
3828 | //printf("entries for i %d: %f\n",i,arraye[i]); | |
3829 | } | |
3830 | if ((entries<700) || (nbbinwithentries < ((Int_t)(nBins/2)))) return -4; | |
3831 | //printf("entries %f\n",entries); | |
3832 | //printf("nbbinwithentries %d\n",nbbinwithentries); | |
3833 | ||
3834 | Int_t npoints=0; | |
3835 | Float_t errorm = 0.0; | |
3836 | Float_t errorn = 0.0; | |
3837 | Float_t error = 0.0; | |
3838 | ||
3839 | // | |
3840 | for (Int_t ibin=0;ibin<nBins; ibin++){ | |
3841 | Float_t entriesI = arraye[ibin]; | |
3842 | Float_t valueI = arraym[ibin]; | |
3843 | Double_t xcenter = 0.0; | |
3844 | Float_t val = 0.0; | |
3845 | if ((entriesI>15) && (valueI>0.0)){ | |
3846 | xcenter = xMin+(ibin+0.5)*binWidth; | |
3847 | errorm = 0.0; | |
3848 | errorn = 0.0; | |
3849 | error = 0.0; | |
3850 | if(!kError){ | |
3851 | if((valueI + 0.01) > 0.0) errorm = TMath::Log((valueI + 0.01)/valueI); | |
3852 | if((valueI - 0.01) > 0.0) errorn = TMath::Log((valueI - 0.01)/valueI); | |
3853 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
3854 | } | |
3855 | else{ | |
3856 | if((valueI + arrayme[ibin]) > 0.0) errorm = TMath::Log((valueI + arrayme[ibin])/valueI); | |
3857 | if((valueI - arrayme[ibin]) > 0.0) errorn = TMath::Log((valueI - arrayme[ibin])/valueI); | |
3858 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
3859 | } | |
3860 | if(error == 0.0) continue; | |
3861 | val = TMath::Log(Float_t(valueI)); | |
3862 | fitter.AddPoint(&xcenter,val,error); | |
3863 | npoints++; | |
3864 | } | |
3865 | ||
3866 | if(fDebugLevel > 1){ | |
55a288e5 | 3867 | |
3a0f6479 | 3868 | if ( !fDebugStreamer ) { |
3869 | //debug stream | |
3870 | TDirectory *backup = gDirectory; | |
3871 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
3872 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3873 | } | |
3874 | ||
3875 | Int_t detector = fCountDet; | |
3876 | Int_t plane = GetPlane(fCountDet); | |
3877 | Int_t group = ibin; | |
3878 | ||
3879 | (* fDebugStreamer) << "FitGausMIFill"<< | |
3880 | "detector="<<detector<< | |
3881 | "plane="<<plane<< | |
3882 | "nbins="<<nBins<< | |
3883 | "group="<<group<< | |
3884 | "entriesI="<<entriesI<< | |
3885 | "valueI="<<valueI<< | |
3886 | "val="<<val<< | |
3887 | "xcenter="<<xcenter<< | |
3888 | "errorm="<<errorm<< | |
3889 | "errorn="<<errorn<< | |
3890 | "error="<<error<< | |
3891 | "kError="<<kError<< | |
3892 | "\n"; | |
3893 | } | |
3894 | ||
3895 | } | |
3896 | ||
3897 | if(npoints <=3) return -4.0; | |
3898 | ||
3899 | Double_t chi2 = 0; | |
3900 | if (npoints>3){ | |
3901 | fitter.Eval(); | |
3902 | fitter.GetParameters(par); | |
3903 | chi2 = fitter.GetChisquare()/Float_t(npoints); | |
55a288e5 | 3904 | |
3a0f6479 | 3905 | |
3906 | if (!param) param = new TVectorD(3); | |
3907 | if(par[2] == 0.0) return -4.0; | |
3908 | Double_t x = TMath::Sqrt(TMath::Abs(-2*par[2])); | |
3909 | Double_t deltax = (fitter.GetParError(2))/x; | |
3910 | Double_t errorparam2 = TMath::Abs(deltax)/(x*x); | |
3911 | chi2 = errorparam2; | |
55a288e5 | 3912 | |
3a0f6479 | 3913 | (*param)[1] = par[1]/(-2.*par[2]); |
3914 | (*param)[2] = 1./TMath::Sqrt(TMath::Abs(-2.*par[2])); | |
3915 | Double_t lnparam0 = par[0]+ par[1]* (*param)[1] + par[2]*(*param)[1]*(*param)[1]; | |
3916 | if ( lnparam0>307 ) return -4; | |
3917 | (*param)[0] = TMath::Exp(lnparam0); | |
3918 | ||
3919 | if(fDebugLevel > 1){ | |
3920 | ||
3921 | if ( !fDebugStreamer ) { | |
3922 | //debug stream | |
3923 | TDirectory *backup = gDirectory; | |
3924 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
3925 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3926 | } | |
3927 | ||
3928 | Int_t detector = fCountDet; | |
3929 | Int_t plane = GetPlane(fCountDet); | |
3930 | ||
3931 | ||
3932 | (* fDebugStreamer) << "FitGausMIFit"<< | |
3933 | "detector="<<detector<< | |
3934 | "plane="<<plane<< | |
3935 | "nbins="<<nBins<< | |
3936 | "errorsigma="<<chi2<< | |
3937 | "mean="<<(*param)[1]<< | |
3938 | "sigma="<<(*param)[2]<< | |
3939 | "constant="<<(*param)[0]<< | |
3940 | "\n"; | |
3941 | } | |
3942 | } | |
3943 | ||
3944 | if((chi2/(*param)[2]) > 0.1){ | |
3945 | if(kError){ | |
3946 | chi2 = FitGausMI(arraye,arraym,arrayme,nBins,xMin,xMax,param,kFALSE); | |
3947 | } | |
3948 | else return -4.0; | |
55a288e5 | 3949 | } |
3a0f6479 | 3950 | |
3951 | if(fDebugLevel == 1){ | |
3952 | TString name("PRF"); | |
3953 | name += (Int_t)xMin; | |
3954 | name += (Int_t)xMax; | |
3955 | TCanvas *c1 = new TCanvas((const char *)name,(const char *)name,50,50,600,800); | |
3956 | c1->cd(); | |
3957 | name += "histo"; | |
3958 | TH1F *histo = new TH1F((const char *)name,(const char *)name,nBins,xMin,xMax); | |
3959 | for(Int_t k = 0; k < nBins; k++){ | |
3960 | histo->SetBinContent(k+1,arraym[k]); | |
3961 | histo->SetBinError(k+1,arrayme[k]); | |
3962 | } | |
3963 | histo->Draw(); | |
3964 | name += "functionf"; | |
3965 | TF1 *f1= new TF1((const char*)name,"[0]*exp(-(x-[1])^2/(2*[2]*[2]))",xMin,xMax); | |
3966 | f1->SetParameter(0, (*param)[0]); | |
3967 | f1->SetParameter(1, (*param)[1]); | |
3968 | f1->SetParameter(2, (*param)[2]); | |
3969 | f1->Draw("same"); | |
3970 | } | |
3971 | ||
3972 | ||
3973 | return chi2; | |
3974 | ||
3975 | } | |
3976 | //_____________________________________________________________________________ | |
3977 | void AliTRDCalibraFit::FitPRF(TH1 *projPRF) | |
3978 | { | |
3979 | // | |
3980 | // Fit methode for the sigma of the pad response function | |
3981 | // | |
55a288e5 | 3982 | |
3a0f6479 | 3983 | fCurrentCoef[0] = 0.0; |
3984 | fCurrentCoefE = 0.0; | |
3985 | ||
3986 | if (fDebugLevel != 1) { | |
3987 | projPRF->Fit("gaus","0M","",-fRangeFitPRF,fRangeFitPRF); | |
3988 | } | |
3989 | else { | |
55a288e5 | 3990 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); |
3991 | cfit->cd(); | |
3992 | projPRF->Fit("gaus","M+","",-fRangeFitPRF,fRangeFitPRF); | |
3993 | projPRF->Draw(); | |
55a288e5 | 3994 | } |
3a0f6479 | 3995 | fCurrentCoef[0] = projPRF->GetFunction("gaus")->GetParameter(2); |
3996 | fCurrentCoefE = projPRF->GetFunction("gaus")->GetParError(2); | |
3997 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
55a288e5 | 3998 | else { |
3a0f6479 | 3999 | fNumberFitSuccess++; |
55a288e5 | 4000 | } |
3a0f6479 | 4001 | } |
4002 | //_____________________________________________________________________________ | |
4003 | void AliTRDCalibraFit::RmsPRF(TH1 *projPRF) | |
4004 | { | |
4005 | // | |
4006 | // Fit methode for the sigma of the pad response function | |
4007 | // | |
4008 | fCurrentCoef[0] = 0.0; | |
4009 | fCurrentCoefE = 0.0; | |
4010 | if (fDebugLevel == 1) { | |
4011 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); | |
4012 | cfit->cd(); | |
4013 | projPRF->Draw(); | |
55a288e5 | 4014 | } |
3a0f6479 | 4015 | fCurrentCoef[0] = projPRF->GetRMS(); |
4016 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
4017 | else { | |
4018 | fNumberFitSuccess++; | |
55a288e5 | 4019 | } |
55a288e5 | 4020 | } |
55a288e5 | 4021 | //_____________________________________________________________________________ |
3a0f6479 | 4022 | void AliTRDCalibraFit::FitTnpRange(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nbg, Int_t nybins) |
55a288e5 | 4023 | { |
4024 | // | |
3a0f6479 | 4025 | // Fit methode for the sigma of the pad response function with 2*nbg tan bins |
55a288e5 | 4026 | // |
4027 | ||
3a0f6479 | 4028 | TLinearFitter linearfitter = TLinearFitter(3,"pol2"); |
55a288e5 | 4029 | |
55a288e5 | 4030 | |
3a0f6479 | 4031 | Int_t nbins = (Int_t)(nybins/(2*nbg)); |
4032 | Float_t lowedge = -3.0*nbg; | |
4033 | Float_t upedge = lowedge + 3.0; | |
4034 | Int_t offset = 0; | |
4035 | Int_t npoints = 0; | |
4036 | Double_t xvalues = -0.2*nbg+0.1; | |
4037 | Double_t y = 0.0; | |
4038 | Int_t total = 2*nbg; | |
55a288e5 | 4039 | |
3a0f6479 | 4040 | |
4041 | for(Int_t k = 0; k < total; k++){ | |
4042 | if(FitPRFGausMI(arraye+offset, arraym+offset, arrayme+offset, nbins, lowedge, upedge)){ | |
4043 | npoints++; | |
4044 | y = fCurrentCoef[0]*fCurrentCoef[0]; | |
4045 | linearfitter.AddPoint(&xvalues,y,2*fCurrentCoefE*fCurrentCoef[0]); | |
4046 | } | |
4047 | ||
4048 | if(fDebugLevel > 1){ | |
4049 | ||
4050 | if ( !fDebugStreamer ) { | |
4051 | //debug stream | |
4052 | TDirectory *backup = gDirectory; | |
4053 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
4054 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
4055 | } | |
4056 | ||
4057 | Int_t detector = fCountDet; | |
4058 | Int_t plane = GetPlane(fCountDet); | |
4059 | Int_t nbtotal = total; | |
4060 | Int_t group = k; | |
4061 | Float_t low = lowedge; | |
4062 | Float_t up = upedge; | |
4063 | Float_t tnp = xvalues; | |
4064 | Float_t wid = fCurrentCoef[0]; | |
4065 | Float_t widfE = fCurrentCoefE; | |
4066 | ||
413153cb | 4067 | (* fDebugStreamer) << "FitTnpRange0"<< |
3a0f6479 | 4068 | "detector="<<detector<< |
4069 | "plane="<<plane<< | |
4070 | "nbtotal="<<nbtotal<< | |
4071 | "group="<<group<< | |
4072 | "low="<<low<< | |
4073 | "up="<<up<< | |
4074 | "offset="<<offset<< | |
4075 | "tnp="<<tnp<< | |
4076 | "wid="<<wid<< | |
4077 | "widfE="<<widfE<< | |
4078 | "\n"; | |
4079 | } | |
4080 | ||
4081 | offset += nbins; | |
4082 | lowedge += 3.0; | |
4083 | upedge += 3.0; | |
4084 | xvalues += 0.2; | |
4085 | ||
4086 | } | |
4087 | ||
4088 | fCurrentCoefE = 0.0; | |
4089 | fCurrentCoef[0] = 0.0; | |
4090 | ||
4091 | //printf("npoints\n",npoints); | |
4092 | ||
4093 | if(npoints < 3){ | |
4094 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4095 | } | |
4096 | else{ | |
4097 | ||
4098 | TVectorD pars0; | |
4099 | linearfitter.Eval(); | |
4100 | linearfitter.GetParameters(pars0); | |
4101 | Double_t pointError0 = TMath::Sqrt(linearfitter.GetChisquare()/npoints); | |
4102 | Double_t errorsx0 = linearfitter.GetParError(2)*pointError0; | |
4103 | Double_t min0 = 0.0; | |
4104 | Double_t ermin0 = 0.0; | |
4105 | //Double_t prfe0 = 0.0; | |
4106 | Double_t prf0 = 0.0; | |
4107 | if((pars0[2] > 0.0) && (pars0[1] != 0.0)) { | |
4108 | min0 = -pars0[1]/(2*pars0[2]); | |
4109 | ermin0 = TMath::Abs(min0*(errorsx0/pars0[2]+linearfitter.GetParError(1)*pointError0/pars0[1])); | |
4110 | prf0 = pars0[0]+pars0[1]*min0+pars0[2]*min0*min0; | |
4111 | if(prf0 > 0.0) { | |
4112 | /* | |
4113 | prfe0 = linearfitter->GetParError(0)*pointError0 | |
4114 | +(linearfitter->GetParError(1)*pointError0/pars0[1]+ermin0/min0)*pars0[1]*min0 | |
4115 | +(linearfitter->GetParError(2)*pointError0/pars0[2]+2*ermin0/min0)*pars0[2]*min0*min0; | |
4116 | prfe0 = prfe0/(2*TMath::Sqrt(prf0)); | |
4117 | fCurrentCoefE = (Float_t) prfe0; | |
4118 | */ | |
4119 | fCurrentCoef[0] = (Float_t) TMath::Sqrt(TMath::Abs(prf0)); | |
4120 | } | |
4121 | else{ | |
4122 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4123 | } | |
4124 | } | |
4125 | else { | |
4126 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4127 | } | |
55a288e5 | 4128 | |
3a0f6479 | 4129 | if(fDebugLevel > 1){ |
4130 | ||
4131 | if ( !fDebugStreamer ) { | |
4132 | //debug stream | |
4133 | TDirectory *backup = gDirectory; | |
4134 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
4135 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
4136 | } | |
4137 | ||
4138 | Int_t detector = fCountDet; | |
4139 | Int_t plane = GetPlane(fCountDet); | |
4140 | Int_t nbtotal = total; | |
4141 | Double_t colsize[6] = {0.635,0.665,0.695,0.725,0.755,0.785}; | |
4142 | Double_t sigmax = TMath::Sqrt(TMath::Abs(pars0[2]))*10000*colsize[plane]; | |
4143 | ||
413153cb | 4144 | (* fDebugStreamer) << "FitTnpRange1"<< |
3a0f6479 | 4145 | "detector="<<detector<< |
4146 | "plane="<<plane<< | |
4147 | "nbtotal="<<nbtotal<< | |
4148 | "par0="<<pars0[0]<< | |
4149 | "par1="<<pars0[1]<< | |
4150 | "par2="<<pars0[2]<< | |
4151 | "npoints="<<npoints<< | |
4152 | "sigmax="<<sigmax<< | |
4153 | "tan="<<min0<< | |
4154 | "sigmaprf="<<fCurrentCoef[0]<< | |
4155 | "sigprf="<<fCurrentCoef[1]<< | |
4156 | "\n"; | |
4157 | } | |
4158 | ||
55a288e5 | 4159 | } |
4160 | ||
4161 | } | |
55a288e5 | 4162 | //_____________________________________________________________________________ |
3a0f6479 | 4163 | void AliTRDCalibraFit::FitMean(TH1 *projch, Double_t nentries, Double_t mean) |
55a288e5 | 4164 | { |
4165 | // | |
4166 | // Only mean methode for the gain factor | |
4167 | // | |
4168 | ||
3a0f6479 | 4169 | fCurrentCoef[0] = mean; |
4170 | fCurrentCoefE = 0.0; | |
4171 | if(nentries > 0) fCurrentCoefE = projch->GetRMS()/TMath::Sqrt(nentries); | |
4172 | if (fDebugLevel == 1) { | |
55a288e5 | 4173 | TCanvas *cpmean = new TCanvas("cpmean","cpmean",50,50,600,800); |
4174 | cpmean->cd(); | |
4175 | projch->Draw(); | |
4176 | } | |
3a0f6479 | 4177 | CalculChargeCoefMean(kTRUE); |
4178 | fNumberFitSuccess++; | |
55a288e5 | 4179 | } |
55a288e5 | 4180 | //_____________________________________________________________________________ |
3a0f6479 | 4181 | void AliTRDCalibraFit::FitMeanW(TH1 *projch, Double_t nentries) |
55a288e5 | 4182 | { |
4183 | // | |
4184 | // mean w methode for the gain factor | |
4185 | // | |
4186 | ||
4187 | //Number of bins | |
4188 | Int_t nybins = projch->GetNbinsX(); | |
4189 | ||
4190 | //The weight function | |
4191 | Double_t a = 0.00228515; | |
4192 | Double_t b = -0.00231487; | |
4193 | Double_t c = 0.00044298; | |
4194 | Double_t d = -0.00379239; | |
4195 | Double_t e = 0.00338349; | |
4196 | ||
3a0f6479 | 4197 | // 0 |0.00228515 |
4198 | // 1 |-0.00231487 | |
4199 | // 2 |0.00044298 | |
4200 | // 3 |-0.00379239 | |
4201 | // 4 |0.00338349 | |
4202 | ||
4203 | ||
55a288e5 | 4204 | |
4205 | //A arbitrary error for the moment | |
3a0f6479 | 4206 | fCurrentCoefE = 0.0; |
4207 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 4208 | |
4209 | //Calcul | |
4210 | Double_t sumw = 0.0; | |
4211 | Double_t sum = 0.0; | |
3a0f6479 | 4212 | Float_t sumAll = (Float_t) nentries; |
55a288e5 | 4213 | Int_t sumCurrent = 0; |
4214 | for(Int_t k = 0; k <nybins; k++){ | |
4215 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
4216 | if (fraction>0.95) break; | |
4217 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
4218 | e*fraction*fraction*fraction*fraction; | |
4219 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
4220 | sum += weight*projch->GetBinContent(k+1); | |
4221 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
4222 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
4223 | } | |
3a0f6479 | 4224 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 4225 | |
3a0f6479 | 4226 | if (fDebugLevel == 1) { |
55a288e5 | 4227 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); |
4228 | cpmeanw->cd(); | |
4229 | projch->Draw(); | |
4230 | } | |
3a0f6479 | 4231 | fNumberFitSuccess++; |
4232 | CalculChargeCoefMean(kTRUE); | |
4233 | } | |
4234 | //_____________________________________________________________________________ | |
4235 | void AliTRDCalibraFit::FitMeanWSm(TH1 *projch, Float_t sumAll) | |
4236 | { | |
4237 | // | |
4238 | // mean w methode for the gain factor | |
4239 | // | |
4240 | ||
4241 | //Number of bins | |
4242 | Int_t nybins = projch->GetNbinsX(); | |
4243 | ||
4244 | //The weight function | |
4245 | Double_t a = 0.00228515; | |
4246 | Double_t b = -0.00231487; | |
4247 | Double_t c = 0.00044298; | |
4248 | Double_t d = -0.00379239; | |
4249 | Double_t e = 0.00338349; | |
4250 | ||
4251 | // 0 |0.00228515 | |
4252 | // 1 |-0.00231487 | |
4253 | // 2 |0.00044298 | |
4254 | // 3 |-0.00379239 | |
4255 | // 4 |0.00338349 | |
4256 | ||
4257 | ||
4258 | ||
4259 | //A arbitrary error for the moment | |
4260 | fCurrentCoefE = 0.0; | |
4261 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 4262 | |
3a0f6479 | 4263 | //Calcul |
4264 | Double_t sumw = 0.0; | |
4265 | Double_t sum = 0.0; | |
4266 | Int_t sumCurrent = 0; | |
4267 | for(Int_t k = 0; k <nybins; k++){ | |
4268 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
4269 | if (fraction>0.95) break; | |
4270 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
4271 | e*fraction*fraction*fraction*fraction; | |
4272 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
4273 | sum += weight*projch->GetBinContent(k+1); | |
4274 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
4275 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
55a288e5 | 4276 | } |
3a0f6479 | 4277 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 4278 | |
3a0f6479 | 4279 | if (fDebugLevel == 1) { |
4280 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); | |
4281 | cpmeanw->cd(); | |
4282 | projch->Draw(); | |
4283 | } | |
4284 | fNumberFitSuccess++; | |
55a288e5 | 4285 | } |
55a288e5 | 4286 | //_____________________________________________________________________________ |
3a0f6479 | 4287 | void AliTRDCalibraFit::FitCH(TH1 *projch, Double_t mean) |
55a288e5 | 4288 | { |
4289 | // | |
4290 | // Fit methode for the gain factor | |
4291 | // | |
4292 | ||
3a0f6479 | 4293 | fCurrentCoef[0] = 0.0; |
4294 | fCurrentCoefE = 0.0; | |
55a288e5 | 4295 | Double_t chisqrl = 0.0; |
4296 | Double_t chisqrg = 0.0; | |
3a0f6479 | 4297 | Double_t chisqr = 0.0; |
55a288e5 | 4298 | TF1 *fLandauGaus = new TF1("fLandauGaus",FuncLandauGaus,0,300,5); |
4299 | ||
4300 | projch->Fit("landau","0","" | |
3a0f6479 | 4301 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 4302 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4303 | Double_t l3P0 = projch->GetFunction("landau")->GetParameter(0); | |
4304 | Double_t l3P1 = projch->GetFunction("landau")->GetParameter(1); | |
4305 | Double_t l3P2 = projch->GetFunction("landau")->GetParameter(2); | |
4306 | chisqrl = projch->GetFunction("landau")->GetChisquare(); | |
4307 | ||
4308 | projch->Fit("gaus","0","" | |
3a0f6479 | 4309 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 4310 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4311 | Double_t g3P0 = projch->GetFunction("gaus")->GetParameter(0); | |
4312 | Double_t g3P2 = projch->GetFunction("gaus")->GetParameter(2); | |
4313 | chisqrg = projch->GetFunction("gaus")->GetChisquare(); | |
4314 | ||
4315 | fLandauGaus->SetParameters(l3P0,l3P1,l3P2,g3P0,g3P2); | |
3a0f6479 | 4316 | if (fDebugLevel != 1) { |
55a288e5 | 4317 | projch->Fit("fLandauGaus","0","" |
3a0f6479 | 4318 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 4319 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4320 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
3a0f6479 | 4321 | } |
4322 | else { | |
55a288e5 | 4323 | TCanvas *cp = new TCanvas("cp","cp",50,50,600,800); |
4324 | cp->cd(); | |
4325 | projch->Fit("fLandauGaus","+","" | |
3a0f6479 | 4326 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 4327 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4328 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
4329 | projch->Draw(); | |
4330 | fLandauGaus->Draw("same"); | |
4331 | } | |
4332 | ||
3a0f6479 | 4333 | if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (projch->GetFunction("fLandauGaus")->GetParError(1) < (0.05*projch->GetFunction("fLandauGaus")->GetParameter(1))) && (chisqr < chisqrl) && (chisqr < chisqrg)) { |
4334 | //if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (chisqr < chisqrl) && (chisqr < chisqrg)) { | |
4335 | fNumberFitSuccess++; | |
4336 | CalculChargeCoefMean(kTRUE); | |
4337 | fCurrentCoef[0] = projch->GetFunction("fLandauGaus")->GetParameter(1); | |
4338 | fCurrentCoefE = projch->GetFunction("fLandauGaus")->GetParError(1); | |
55a288e5 | 4339 | } |
4340 | else { | |
3a0f6479 | 4341 | CalculChargeCoefMean(kFALSE); |
4342 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 4343 | } |
4344 | ||
3a0f6479 | 4345 | if (fDebugLevel != 1) { |
55a288e5 | 4346 | delete fLandauGaus; |
4347 | } | |
4348 | ||
4349 | } | |
55a288e5 | 4350 | //_____________________________________________________________________________ |
3a0f6479 | 4351 | void AliTRDCalibraFit::FitBisCH(TH1* projch, Double_t mean) |
55a288e5 | 4352 | { |
4353 | // | |
4354 | // Fit methode for the gain factor more time consuming | |
4355 | // | |
4356 | ||
3a0f6479 | 4357 | |
55a288e5 | 4358 | //Some parameters to initialise |
e6381f8e | 4359 | Double_t widthLandau, widthGaus, mPV, integral; |
55a288e5 | 4360 | Double_t chisquarel = 0.0; |
4361 | Double_t chisquareg = 0.0; | |
55a288e5 | 4362 | projch->Fit("landau","0M+","" |
3a0f6479 | 4363 | ,(Double_t) mean/6 |
55a288e5 | 4364 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4365 | widthLandau = projch->GetFunction("landau")->GetParameter(2); | |
4366 | chisquarel = projch->GetFunction("landau")->GetChisquare(); | |
55a288e5 | 4367 | projch->Fit("gaus","0M+","" |
3a0f6479 | 4368 | ,(Double_t) mean/6 |
55a288e5 | 4369 | ,projch->GetBinCenter(projch->GetNbinsX())); |
4370 | widthGaus = projch->GetFunction("gaus")->GetParameter(2); | |
4371 | chisquareg = projch->GetFunction("gaus")->GetChisquare(); | |
3a0f6479 | 4372 | |
e6381f8e | 4373 | mPV = (projch->GetFunction("landau")->GetParameter(1))/2; |
4374 | integral = (projch->GetFunction("gaus")->Integral(0.3*mean,3*mean)+projch->GetFunction("landau")->Integral(0.3*mean,3*mean))/2; | |
3a0f6479 | 4375 | |
55a288e5 | 4376 | // Setting fit range and start values |
4377 | Double_t fr[2]; | |
4378 | //Double_t sv[4] = { l3P2, fChargeCoef[1], projch->Integral("width"), fG3P2 }; | |
4379 | //Double_t sv[4] = { fL3P2, fChargeCoef[1], fL3P0, fG3P2 }; | |
e6381f8e | 4380 | Double_t sv[4] = { widthLandau, mPV, integral, widthGaus}; |
55a288e5 | 4381 | Double_t pllo[4] = { 0.001, 0.001, projch->Integral()/3, 0.001}; |
4382 | Double_t plhi[4] = { 300.0, 300.0, 30*projch->Integral(), 300.0}; | |
4383 | Double_t fp[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
4384 | Double_t fpe[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
3a0f6479 | 4385 | fr[0] = 0.3 * mean; |
4386 | fr[1] = 3.0 * mean; | |
4387 | fCurrentCoef[0] = 0.0; | |
4388 | fCurrentCoefE = 0.0; | |
55a288e5 | 4389 | |
4390 | Double_t chisqr; | |
4391 | Int_t ndf; | |
4392 | TF1 *fitsnr = LanGauFit(projch,&fr[0],&sv[0] | |
4393 | ,&pllo[0],&plhi[0] | |
4394 | ,&fp[0],&fpe[0] | |
4395 | ,&chisqr,&ndf); | |
4396 | ||
4397 | Double_t projchPeak; | |
4398 | Double_t projchFWHM; | |
4399 | LanGauPro(fp,projchPeak,projchFWHM); | |
4400 | ||
4401 | if ((fp[1] > 0) && ((fpe[1] < (0.05*fp[1])) && (chisqr < chisquarel) && (chisqr < chisquareg))) { | |
4402 | //if ((fp[1] > 0) && ((chisqr < chisquarel) && (chisqr < chisquareg))) { | |
3a0f6479 | 4403 | fNumberFitSuccess++; |
4404 | CalculChargeCoefMean(kTRUE); | |
4405 | fCurrentCoef[0] = fp[1]; | |
4406 | fCurrentCoefE = fpe[1]; | |
55a288e5 | 4407 | //chargeCoefE2 = chisqr; |
4408 | } | |
4409 | else { | |
3a0f6479 | 4410 | CalculChargeCoefMean(kFALSE); |
4411 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 4412 | } |
3a0f6479 | 4413 | if (fDebugLevel == 1) { |
4414 | AliInfo(Form("fChargeCoef[0]: %f",(Float_t) fCurrentCoef[0])); | |
55a288e5 | 4415 | TCanvas *cpy = new TCanvas("cpy","cpy",50,50,600,800); |
4416 | cpy->cd(); | |
4417 | projch->Draw(); | |
4418 | fitsnr->Draw("same"); | |
4419 | } | |
3a0f6479 | 4420 | else { |
55a288e5 | 4421 | delete fitsnr; |
4422 | } | |
3a0f6479 | 4423 | } |
55a288e5 | 4424 | //_____________________________________________________________________________ |
e6381f8e | 4425 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange2(Double_t *x, Double_t *y) const |
55a288e5 | 4426 | { |
4427 | // | |
4428 | // Calcul the coefficients of the polynome passant par ces trois points de degre 2 | |
4429 | // | |
3a0f6479 | 4430 | Double_t *c = new Double_t[5]; |
55a288e5 | 4431 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])); |
4432 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])); | |
4433 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])); | |
4434 | ||
4435 | c[4] = 0.0; | |
4436 | c[3] = 0.0; | |
4437 | c[2] = x0+x1+x2; | |
4438 | c[1] = -(x0*(x[1]+x[2])+x1*(x[0]+x[2])+x2*(x[0]+x[1])); | |
4439 | c[0] = x0*x[1]*x[2]+x1*x[0]*x[2]+x2*x[0]*x[1]; | |
4440 | ||
4441 | return c; | |
4442 | ||
3a0f6479 | 4443 | |
55a288e5 | 4444 | } |
4445 | ||
4446 | //_____________________________________________________________________________ | |
e6381f8e | 4447 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange3(Double_t *x, Double_t *y) const |
55a288e5 | 4448 | { |
4449 | // | |
4450 | // Calcul the coefficients of the polynome passant par ces quatre points de degre 3 | |
4451 | // | |
55a288e5 | 4452 | Double_t *c = new Double_t[5]; |
4453 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])); | |
4454 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])); | |
4455 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])); | |
4456 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])); | |
4457 | ||
4458 | c[4] = 0.0; | |
4459 | c[3] = x0+x1+x2+x3; | |
4460 | c[2] = -(x0*(x[1]+x[2]+x[3]) | |
4461 | +x1*(x[0]+x[2]+x[3]) | |
4462 | +x2*(x[0]+x[1]+x[3]) | |
4463 | +x3*(x[0]+x[1]+x[2])); | |
4464 | c[1] = (x0*(x[1]*x[2]+x[1]*x[3]+x[2]*x[3]) | |
4465 | +x1*(x[0]*x[2]+x[0]*x[3]+x[2]*x[3]) | |
4466 | +x2*(x[0]*x[1]+x[0]*x[3]+x[1]*x[3]) | |
4467 | +x3*(x[0]*x[1]+x[0]*x[2]+x[1]*x[2])); | |
4468 | ||
4469 | c[0] = -(x0*x[1]*x[2]*x[3] | |
4470 | +x1*x[0]*x[2]*x[3] | |
4471 | +x2*x[0]*x[1]*x[3] | |
4472 | +x3*x[0]*x[1]*x[2]); | |
4473 | ||
3a0f6479 | 4474 | |
55a288e5 | 4475 | return c; |
3a0f6479 | 4476 | |
55a288e5 | 4477 | |
4478 | } | |
4479 | ||
4480 | //_____________________________________________________________________________ | |
e6381f8e | 4481 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange4(Double_t *x, Double_t *y) const |
55a288e5 | 4482 | { |
4483 | // | |
4484 | // Calcul the coefficients of the polynome passant par ces cinqs points de degre 4 | |
4485 | // | |
55a288e5 | 4486 | Double_t *c = new Double_t[5]; |
4487 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])*(x[0]-x[4])); | |
4488 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])*(x[1]-x[4])); | |
4489 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])*(x[2]-x[4])); | |
4490 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])*(x[3]-x[4])); | |
4491 | Double_t x4 = y[4]/((x[4]-x[0])*(x[4]-x[1])*(x[4]-x[2])*(x[4]-x[3])); | |
3a0f6479 | 4492 | |
55a288e5 | 4493 | |
4494 | c[4] = x0+x1+x2+x3+x4; | |
4495 | c[3] = -(x0*(x[1]+x[2]+x[3]+x[4]) | |
4496 | +x1*(x[0]+x[2]+x[3]+x[4]) | |
4497 | +x2*(x[0]+x[1]+x[3]+x[4]) | |
4498 | +x3*(x[0]+x[1]+x[2]+x[4]) | |
4499 | +x4*(x[0]+x[1]+x[2]+x[3])); | |
4500 | 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]) | |
4501 | +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]) | |
4502 | +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]) | |
4503 | +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]) | |
4504 | +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])); | |
4505 | ||
4506 | 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]) | |
4507 | +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]) | |
4508 | +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]) | |
4509 | +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]) | |
4510 | +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])); | |
4511 | ||
4512 | c[0] = (x0*x[1]*x[2]*x[3]*x[4] | |
4513 | +x1*x[0]*x[2]*x[3]*x[4] | |
4514 | +x2*x[0]*x[1]*x[3]*x[4] | |
4515 | +x3*x[0]*x[1]*x[2]*x[4] | |
4516 | +x4*x[0]*x[1]*x[2]*x[3]); | |
4517 | ||
4518 | return c; | |
3a0f6479 | 4519 | |
55a288e5 | 4520 | |
4521 | } | |
55a288e5 | 4522 | //_____________________________________________________________________________ |
4523 | void AliTRDCalibraFit::NormierungCharge() | |
4524 | { | |
4525 | // | |
4526 | // Normalisation of the gain factor resulting for the fits | |
4527 | // | |
4528 | ||
4529 | // Calcul of the mean of choosen method by fFitChargeNDB | |
4530 | Double_t sum = 0.0; | |
4531 | //printf("total number of entries %d\n",fVectorFitCH->GetEntriesFast()); | |
3a0f6479 | 4532 | for (Int_t k = 0; k < (Int_t) fVectorFit.GetEntriesFast(); k++) { |
55a288e5 | 4533 | Int_t total = 0; |
3a0f6479 | 4534 | Int_t detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); |
4535 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
55a288e5 | 4536 | //printf("detector %d coef[0] %f\n",detector,coef[0]); |
4537 | if (GetChamber(detector) == 2) { | |
4538 | total = 1728; | |
4539 | } | |
4540 | if (GetChamber(detector) != 2) { | |
4541 | total = 2304; | |
4542 | } | |
4543 | for (Int_t j = 0; j < total; j++) { | |
4544 | if (coef[j] >= 0) { | |
4545 | sum += coef[j]; | |
4546 | } | |
4547 | } | |
4548 | } | |
4549 | ||
4550 | if (sum > 0) { | |
4551 | fScaleFitFactor = fScaleFitFactor / sum; | |
4552 | } | |
4553 | else { | |
4554 | fScaleFitFactor = 1.0; | |
3a0f6479 | 4555 | } |
55a288e5 | 4556 | |
3a0f6479 | 4557 | //methode de boeuf mais bon... |
4558 | Double_t scalefactor = fScaleFitFactor; | |
55a288e5 | 4559 | |
3a0f6479 | 4560 | if(fDebugLevel > 1){ |
4561 | ||
4562 | if ( !fDebugStreamer ) { | |
4563 | //debug stream | |
4564 | TDirectory *backup = gDirectory; | |
4565 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
4566 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
4567 | } | |
413153cb | 4568 | (* fDebugStreamer) << "NormierungCharge"<< |
3a0f6479 | 4569 | "scalefactor="<<scalefactor<< |
4570 | "\n"; | |
4571 | } | |
55a288e5 | 4572 | } |
55a288e5 | 4573 | //_____________________________________________________________________________ |
4574 | TH1I *AliTRDCalibraFit::ReBin(TH1I *hist) const | |
4575 | { | |
4576 | // | |
4577 | // Rebin of the 1D histo for the gain calibration if needed. | |
4578 | // you have to choose fRebin, divider of fNumberBinCharge | |
4579 | // | |
4580 | ||
3a0f6479 | 4581 | TAxis *xhist = hist->GetXaxis(); |
4582 | TH1I *rehist = new TH1I("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
4583 | ,xhist->GetBinLowEdge(1) | |
4584 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
55a288e5 | 4585 | |
3a0f6479 | 4586 | AliInfo(Form("fRebin: %d",fRebin)); |
4587 | Int_t i = 1; | |
4588 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
4589 | Double_t sum = 0.0; | |
4590 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
4591 | sum += hist->GetBinContent(ji); | |
4592 | } | |
4593 | sum = sum / fRebin; | |
4594 | rehist->SetBinContent(k,sum); | |
4595 | i += fRebin; | |
4596 | } | |
55a288e5 | 4597 | |
3a0f6479 | 4598 | return rehist; |
55a288e5 | 4599 | |
4600 | } | |
4601 | ||
4602 | //_____________________________________________________________________________ | |
4603 | TH1F *AliTRDCalibraFit::ReBin(TH1F *hist) const | |
4604 | { | |
4605 | // | |
4606 | // Rebin of the 1D histo for the gain calibration if needed | |
4607 | // you have to choose fRebin divider of fNumberBinCharge | |
4608 | // | |
4609 | ||
4610 | TAxis *xhist = hist->GetXaxis(); | |
4611 | TH1F *rehist = new TH1F("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
4612 | ,xhist->GetBinLowEdge(1) | |
4613 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
4614 | ||
4615 | AliInfo(Form("fRebin: %d",fRebin)); | |
4616 | Int_t i = 1; | |
4617 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
4618 | Double_t sum = 0.0; | |
4619 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
4620 | sum += hist->GetBinContent(ji); | |
4621 | } | |
4622 | sum = sum/fRebin; | |
4623 | rehist->SetBinContent(k,sum); | |
4624 | i += fRebin; | |
4625 | } | |
4626 | ||
55a288e5 | 4627 | return rehist; |
4628 | ||
4629 | } | |
4630 | ||
4631 | //_____________________________________________________________________________ | |
4632 | TH1F *AliTRDCalibraFit::CorrectTheError(TGraphErrors *hist) | |
4633 | { | |
4634 | // | |
4635 | // In the case of the vectors method the trees contains TGraphErrors for PH and PRF | |
4636 | // to be able to add them after | |
4637 | // We convert it to a TH1F to be able to applied the same fit function method | |
4638 | // After having called this function you can not add the statistics anymore | |
4639 | // | |
4640 | ||
4641 | TH1F *rehist = 0x0; | |
4642 | ||
3a0f6479 | 4643 | Int_t nbins = hist->GetN(); |
55a288e5 | 4644 | Double_t *x = hist->GetX(); |
4645 | Double_t *entries = hist->GetEX(); | |
4646 | Double_t *mean = hist->GetY(); | |
4647 | Double_t *square = hist->GetEY(); | |
4648 | fEntriesCurrent = 0; | |
4649 | ||
4650 | if (nbins < 2) { | |
4651 | return rehist; | |
4652 | } | |
4653 | ||
4654 | Double_t step = x[1] - x[0]; | |
4655 | Double_t minvalue = x[0] - step/2; | |
4656 | Double_t maxvalue = x[(nbins-1)] + step/2; | |
4657 | ||
4658 | rehist = new TH1F("projcorrecterror","",nbins,minvalue,maxvalue); | |
4659 | ||
4660 | for (Int_t k = 0; k < nbins; k++) { | |
4661 | rehist->SetBinContent(k+1,mean[k]); | |
4662 | if (entries[k] > 0.0) { | |
4663 | fEntriesCurrent += (Int_t) entries[k]; | |
4664 | Double_t d = TMath::Abs(square[k] - (mean[k]*mean[k])); | |
4665 | rehist->SetBinError(k+1,TMath::Sqrt(d/entries[k])); | |
4666 | } | |
4667 | else { | |
4668 | rehist->SetBinError(k+1,0.0); | |
4669 | } | |
4670 | } | |
4671 | ||
3a0f6479 | 4672 | if(fEntriesCurrent > 0) fNumberEnt++; |
4673 | ||
55a288e5 | 4674 | return rehist; |
4675 | ||
4676 | } | |
55a288e5 | 4677 | // |
4678 | //____________Some basic geometry function_____________________________________ | |
4679 | // | |
4680 | ||
4681 | //_____________________________________________________________________________ | |
4682 | Int_t AliTRDCalibraFit::GetPlane(Int_t d) const | |
4683 | { | |
4684 | // | |
4685 | // Reconstruct the plane number from the detector number | |
4686 | // | |
4687 | ||
4688 | return ((Int_t) (d % 6)); | |
4689 | ||
4690 | } | |
4691 | ||
4692 | //_____________________________________________________________________________ | |
4693 | Int_t AliTRDCalibraFit::GetChamber(Int_t d) const | |
4694 | { | |
4695 | // | |
4696 | // Reconstruct the chamber number from the detector number | |
4697 | // | |
4698 | Int_t fgkNplan = 6; | |
4699 | ||
4700 | return ((Int_t) (d % 30) / fgkNplan); | |
4701 | ||
4702 | } | |
4703 | ||
4704 | //_____________________________________________________________________________ | |
4705 | Int_t AliTRDCalibraFit::GetSector(Int_t d) const | |
4706 | { | |
4707 | // | |
4708 | // Reconstruct the sector number from the detector number | |
4709 | // | |
4710 | Int_t fg = 30; | |
4711 | ||
4712 | return ((Int_t) (d / fg)); | |
4713 | ||
4714 | } | |
4715 | ||
4716 | // | |
4717 | //____________Fill and Init tree Gain, PRF, Vdrift and T0______________________ | |
4718 | // | |
3a0f6479 | 4719 | //_______________________________________________________________________________ |
4720 | void AliTRDCalibraFit::ResetVectorFit() | |
55a288e5 | 4721 | { |
e6381f8e | 4722 | // |
4723 | // Reset the VectorFits | |
4724 | // | |
4725 | ||
3a0f6479 | 4726 | fVectorFit.SetOwner(); |
4727 | fVectorFit.Clear(); | |
4728 | fVectorFit2.SetOwner(); | |
4729 | fVectorFit2.Clear(); | |
55a288e5 | 4730 | |
55a288e5 | 4731 | } |
55a288e5 | 4732 | // |
4733 | //____________Private Functions________________________________________________ | |
4734 | // | |
4735 | ||
4736 | //_____________________________________________________________________________ | |
4737 | Double_t AliTRDCalibraFit::PH(Double_t *x, Double_t *par) | |
4738 | { | |
4739 | // | |
4740 | // Function for the fit | |
4741 | // | |
4742 | ||
4743 | //TF1 *fAsymmGauss = new TF1("fAsymmGauss",AsymmGauss,0,4,6); | |
4744 | ||
4745 | //PARAMETERS FOR FIT PH | |
4746 | // PASAv.4 | |
4747 | //fAsymmGauss->SetParameter(0,0.113755); | |
4748 | //fAsymmGauss->SetParameter(1,0.350706); | |
4749 | //fAsymmGauss->SetParameter(2,0.0604244); | |
4750 | //fAsymmGauss->SetParameter(3,7.65596); | |
4751 | //fAsymmGauss->SetParameter(4,1.00124); | |
4752 | //fAsymmGauss->SetParameter(5,0.870597); // No tail cancelation | |
4753 | ||
4754 | Double_t xx = x[0]; | |
4755 | ||
4756 | if (xx < par[1]) { | |
4757 | return par[5]; | |
4758 | } | |
4759 | ||
4760 | Double_t dx = 0.005; | |
4761 | Double_t xs = par[1]; | |
4762 | Double_t ss = 0.0; | |
4763 | Double_t paras[2] = { 0.0, 0.0 }; | |
4764 | ||
4765 | while (xs < xx) { | |
4766 | if ((xs >= par[1]) && | |
4767 | (xs < (par[1]+par[2]))) { | |
4768 | //fAsymmGauss->SetParameter(0,par[0]); | |
4769 | //fAsymmGauss->SetParameter(1,xs); | |
4770 | //ss += fAsymmGauss->Eval(xx); | |
4771 | paras[0] = par[0]; | |
4772 | paras[1] = xs; | |
4773 | ss += AsymmGauss(&xx,paras); | |
4774 | } | |
4775 | if ((xs >= (par[1]+par[2])) && | |
4776 | (xs < (par[1]+par[2]+par[3]))) { | |
4777 | //fAsymmGauss->SetParameter(0,par[0]*par[4]); | |
4778 | //fAsymmGauss->SetParameter(1,xs); | |
4779 | //ss += fAsymmGauss->Eval(xx); | |
4780 | paras[0] = par[0]*par[4]; | |
4781 | paras[1] = xs; | |
4782 | ss += AsymmGauss(&xx,paras); | |
4783 | } | |
4784 | xs += dx; | |
4785 | } | |
4786 | ||
4787 | return ss + par[5]; | |
4788 | ||
4789 | } | |
4790 | ||
4791 | //_____________________________________________________________________________ | |
4792 | Double_t AliTRDCalibraFit::AsymmGauss(Double_t *x, Double_t *par) | |
4793 | { | |
4794 | // | |
4795 | // Function for the fit | |
4796 | // | |
4797 | ||
4798 | //par[0] = normalization | |
4799 | //par[1] = mean | |
4800 | //par[2] = sigma | |
4801 | //norm0 = 1 | |
4802 | //par[3] = lambda0 | |
4803 | //par[4] = norm1 | |
4804 | //par[5] = lambda1 | |
4805 | ||
4806 | Double_t par1save = par[1]; | |
4807 | //Double_t par2save = par[2]; | |
4808 | Double_t par2save = 0.0604244; | |
4809 | //Double_t par3save = par[3]; | |
4810 | Double_t par3save = 7.65596; | |
4811 | //Double_t par5save = par[5]; | |
4812 | Double_t par5save = 0.870597; | |
4813 | Double_t dx = x[0] - par1save; | |
4814 | ||
4815 | Double_t sigma2 = par2save*par2save; | |
4816 | Double_t sqrt2 = TMath::Sqrt(2.0); | |
4817 | Double_t exp1 = par3save * TMath::Exp(-par3save * (dx - 0.5 * par3save * sigma2)) | |
4818 | * (1.0 - TMath::Erf((par3save * sigma2 - dx) / (sqrt2 * par2save))); | |
4819 | Double_t exp2 = par5save * TMath::Exp(-par5save * (dx - 0.5 * par5save * sigma2)) | |
4820 | * (1.0 - TMath::Erf((par5save * sigma2 - dx) / (sqrt2 * par2save))); | |
4821 | ||
4822 | //return par[0]*(exp1+par[4]*exp2); | |
4823 | return par[0] * (exp1 + 1.00124 * exp2); | |
4824 | ||
4825 | } | |
4826 | ||
4827 | //_____________________________________________________________________________ | |
4828 | Double_t AliTRDCalibraFit::FuncLandauGaus(Double_t *x, Double_t *par) | |
4829 | { | |
4830 | // | |
4831 | // Sum Landau + Gaus with identical mean | |
4832 | // | |
4833 | ||
4834 | Double_t valLandau = par[0] * TMath::Landau(x[0],par[1],par[2]); | |
4835 | //Double_t valGaus = par[3] * TMath::Gaus(x[0],par[4],par[5]); | |
4836 | Double_t valGaus = par[3] * TMath::Gaus(x[0],par[1],par[4]); | |
4837 | Double_t val = valLandau + valGaus; | |
4838 | ||
4839 | return val; | |
4840 | ||
4841 | } | |
4842 | ||
4843 | //_____________________________________________________________________________ | |
4844 | Double_t AliTRDCalibraFit::LanGauFun(Double_t *x, Double_t *par) | |
4845 | { | |
4846 | // | |
4847 | // Function for the fit | |
4848 | // | |
4849 | // Fit parameters: | |
4850 | // par[0]=Width (scale) parameter of Landau density | |
4851 | // par[1]=Most Probable (MP, location) parameter of Landau density | |
4852 | // par[2]=Total area (integral -inf to inf, normalization constant) | |
4853 | // par[3]=Width (sigma) of convoluted Gaussian function | |
4854 | // | |
4855 | // In the Landau distribution (represented by the CERNLIB approximation), | |
4856 | // the maximum is located at x=-0.22278298 with the location parameter=0. | |
4857 | // This shift is corrected within this function, so that the actual | |
4858 | // maximum is identical to the MP parameter. | |
4859 | // | |
4860 | ||
4861 | // Numeric constants | |
4862 | Double_t invsq2pi = 0.3989422804014; // (2 pi)^(-1/2) | |
4863 | Double_t mpshift = -0.22278298; // Landau maximum location | |
4864 | ||
4865 | // Control constants | |
4866 | Double_t np = 100.0; // Number of convolution steps | |
4867 | Double_t sc = 5.0; // Convolution extends to +-sc Gaussian sigmas | |
4868 | ||
4869 | // Variables | |
4870 | Double_t xx; | |
4871 | Double_t mpc; | |
4872 | Double_t fland; | |
4873 | Double_t sum = 0.0; | |
4874 | Double_t xlow; | |
4875 | Double_t xupp; | |
4876 | Double_t step; | |
4877 | Double_t i; | |
4878 | ||
4879 | // MP shift correction | |
4880 | mpc = par[1] - mpshift * par[0]; | |
4881 | ||
4882 | // Range of convolution integral | |
4883 | xlow = x[0] - sc * par[3]; | |
4884 | xupp = x[0] + sc * par[3]; | |
4885 | ||
4886 | step = (xupp - xlow) / np; | |
4887 | ||
4888 | // Convolution integral of Landau and Gaussian by sum | |
4889 | for (i = 1.0; i <= np/2; i++) { | |
4890 | ||
4891 | xx = xlow + (i-.5) * step; | |
4892 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
4893 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
4894 | ||
4895 | xx = xupp - (i-.5) * step; | |
4896 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
4897 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
4898 | ||
4899 | } | |
4900 | ||
4901 | return (par[2] * step * sum * invsq2pi / par[3]); | |
4902 | ||
4903 | } | |
55a288e5 | 4904 | //_____________________________________________________________________________ |
4905 | TF1 *AliTRDCalibraFit::LanGauFit(TH1 *his, Double_t *fitrange, Double_t *startvalues | |
4906 | , Double_t *parlimitslo, Double_t *parlimitshi | |
4907 | , Double_t *fitparams, Double_t *fiterrors | |
e6381f8e | 4908 | , Double_t *chiSqr, Int_t *ndf) const |
55a288e5 | 4909 | { |
4910 | // | |
4911 | // Function for the fit | |
4912 | // | |
4913 | ||
4914 | Int_t i; | |
4915 | Char_t funname[100]; | |
4916 | ||
4917 | TF1 *ffitold = (TF1 *) gROOT->GetListOfFunctions()->FindObject(funname); | |
4918 | if (ffitold) { | |
4919 | delete ffitold; | |
4920 | } | |
4921 | ||
4922 | TF1 *ffit = new TF1(funname,LanGauFun,fitrange[0],fitrange[1],4); | |
4923 | ffit->SetParameters(startvalues); | |
4924 | ffit->SetParNames("Width","MP","Area","GSigma"); | |
4925 | ||
4926 | for (i = 0; i < 4; i++) { | |
4927 | ffit->SetParLimits(i,parlimitslo[i],parlimitshi[i]); | |
4928 | } | |
4929 | ||
4930 | his->Fit(funname,"RB0"); // Fit within specified range, use ParLimits, do not plot | |
4931 | ||
4932 | ffit->GetParameters(fitparams); // Obtain fit parameters | |
4933 | for (i = 0; i < 4; i++) { | |
4934 | fiterrors[i] = ffit->GetParError(i); // Obtain fit parameter errors | |
4935 | } | |
4936 | chiSqr[0] = ffit->GetChisquare(); // Obtain chi^2 | |
4937 | ndf[0] = ffit->GetNDF(); // Obtain ndf | |
4938 | ||
4939 | return (ffit); // Return fit function | |
4940 | ||
4941 | } | |
4942 | ||
4943 | //_____________________________________________________________________________ | |
4944 | Int_t AliTRDCalibraFit::LanGauPro(Double_t *params, Double_t &maxx, Double_t &fwhm) | |
4945 | { | |
4946 | // | |
4947 | // Function for the fit | |
4948 | // | |
4949 | ||
4950 | Double_t p; | |
4951 | Double_t x; | |
4952 | Double_t fy; | |
4953 | Double_t fxr; | |
4954 | Double_t fxl; | |
4955 | Double_t step; | |
4956 | Double_t l; | |
4957 | Double_t lold; | |
4958 | ||
4959 | Int_t i = 0; | |
4960 | Int_t maxcalls = 10000; | |
4961 | ||
4962 | // Search for maximum | |
4963 | p = params[1] - 0.1 * params[0]; | |
4964 | step = 0.05 * params[0]; | |
4965 | lold = -2.0; | |
4966 | l = -1.0; | |
4967 | ||
4968 | while ((l != lold) && (i < maxcalls)) { | |
4969 | i++; | |
4970 | lold = l; | |
4971 | x = p + step; | |
4972 | l = LanGauFun(&x,params); | |
4973 | if (l < lold) { | |
4974 | step = -step / 10.0; | |
4975 | } | |
4976 | p += step; | |
4977 | } | |
4978 | ||
4979 | if (i == maxcalls) { | |
4980 | return (-1); | |
4981 | } | |
4982 | maxx = x; | |
4983 | fy = l / 2.0; | |
4984 | ||
4985 | // Search for right x location of fy | |
4986 | p = maxx + params[0]; | |
4987 | step = params[0]; | |
4988 | lold = -2.0; | |
4989 | l = -1e300; | |
4990 | i = 0; | |
4991 | ||
4992 | while ( (l != lold) && (i < maxcalls) ) { | |
4993 | i++; | |
4994 | ||
4995 | lold = l; | |
4996 | x = p + step; | |
4997 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
4998 | ||
4999 | if (l > lold) | |
5000 | step = -step/10; | |
5001 | ||
5002 | p += step; | |
5003 | } | |
5004 | ||
5005 | if (i == maxcalls) | |
5006 | return (-2); | |
5007 | ||
5008 | fxr = x; | |
5009 | ||
3a0f6479 | 5010 | |
55a288e5 | 5011 | // Search for left x location of fy |
5012 | ||
5013 | p = maxx - 0.5 * params[0]; | |
5014 | step = -params[0]; | |
5015 | lold = -2.0; | |
5016 | l = -1.0e300; | |
5017 | i = 0; | |
5018 | ||
5019 | while ((l != lold) && (i < maxcalls)) { | |
5020 | i++; | |
5021 | lold = l; | |
5022 | x = p + step; | |
5023 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
5024 | if (l > lold) { | |
5025 | step = -step / 10.0; | |
5026 | } | |
5027 | p += step; | |
5028 | } | |
5029 | ||
5030 | if (i == maxcalls) { | |
5031 | return (-3); | |
5032 | } | |
5033 | ||
5034 | fxl = x; | |
5035 | fwhm = fxr - fxl; | |
5036 | ||
5037 | return (0); | |
55a288e5 | 5038 | } |
55a288e5 | 5039 | //_____________________________________________________________________________ |
5040 | Double_t AliTRDCalibraFit::GausConstant(Double_t *x, Double_t *par) | |
5041 | { | |
5042 | // | |
5043 | // Gaus with identical mean | |
5044 | // | |
5045 | ||
e6381f8e | 5046 | Double_t gauss = par[0] * TMath::Gaus(x[0],0.0,par[1])+par[2]; |
55a288e5 | 5047 | |
e6381f8e | 5048 | return gauss; |
55a288e5 | 5049 | |
5050 | } |