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55a288e5 | 1 | /************************************************************************** |
2 | * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * | |
3 | * * | |
4 | * Author: The ALICE Off-line Project. * | |
5 | * Contributors are mentioned in the code where appropriate. * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
8 | * documentation strictly for non-commercial purposes is hereby granted * | |
9 | * without fee, provided that the above copyright notice appears in all * | |
10 | * copies and that both the copyright notice and this permission notice * | |
11 | * appear in the supporting documentation. The authors make no claims * | |
12 | * about the suitability of this software for any purpose. It is * | |
13 | * provided "as is" without express or implied warranty. * | |
14 | **************************************************************************/ | |
15 | ||
16 | /* $Id$ */ | |
17 | ||
18 | ///////////////////////////////////////////////////////////////////////////////// | |
19 | // | |
20 | // AliTRDCalibraFit | |
21 | // | |
22 | // This class is for the TRD calibration of the relative gain factor, the drift velocity, | |
23 | // the time 0 and the pad response function. It fits the histos. | |
24 | // The 2D histograms or vectors (first converted in 1D histos) will be fitted | |
25 | // if they have enough entries, otherwise the (default) value of the choosen database | |
26 | // will be put. For the relative gain calibration the resulted factors will be globally | |
27 | // normalized to the gain factors of the choosen database. It unables to precise | |
28 | // previous calibration procedure. | |
29 | // The function SetDebug enables the user to see: | |
30 | // _fDebug = 0: nothing, only the values are written in the tree if wanted | |
64942b85 | 31 | // _fDebug = 1: only the fit of the choosen calibration group fFitVoir (SetFitVoir) |
32 | // _fDebug = 2: a comparaison of the coefficients found and the default values | |
55a288e5 | 33 | // in the choosen database. |
34 | // fCoef , histogram of the coefs as function of the calibration group number | |
35 | // fDelta , histogram of the relative difference of the coef with the default | |
36 | // value in the database as function of the calibration group number | |
37 | // fError , dirstribution of this relative difference | |
55a288e5 | 38 | // _fDebug = 3: The coefficients in the choosen detector fDet (SetDet) as function of the |
39 | // pad row and col number | |
40 | // _fDebug = 4; The coeffcicients in the choosen detector fDet (SetDet) like in the 3 but with | |
41 | // also the comparaison histograms of the 1 for this detector | |
42 | // | |
43 | // | |
44 | // Author: | |
45 | // R. Bailhache (R.Bailhache@gsi.de) | |
46 | // | |
47 | ////////////////////////////////////////////////////////////////////////////////////// | |
48 | ||
55a288e5 | 49 | #include <TLine.h> |
50 | #include <TH1I.h> | |
51 | #include <TStyle.h> | |
52 | #include <TProfile2D.h> | |
55a288e5 | 53 | #include <TCanvas.h> |
54 | #include <TGraphErrors.h> | |
55a288e5 | 55 | #include <TObjArray.h> |
56 | #include <TH1.h> | |
57 | #include <TH1F.h> | |
58 | #include <TF1.h> | |
55a288e5 | 59 | #include <TAxis.h> |
55a288e5 | 60 | #include <TMath.h> |
55a288e5 | 61 | #include <TDirectory.h> |
3a0f6479 | 62 | #include <TTreeStream.h> |
63 | #include <TLinearFitter.h> | |
64 | #include <TVectorD.h> | |
daa7dc79 | 65 | #include <TROOT.h> |
4c865c34 | 66 | #include <TString.h> |
55a288e5 | 67 | |
68 | #include "AliLog.h" | |
3a0f6479 | 69 | #include "AliMathBase.h" |
55a288e5 | 70 | |
71 | #include "AliTRDCalibraFit.h" | |
72 | #include "AliTRDCalibraMode.h" | |
73 | #include "AliTRDCalibraVector.h" | |
3a0f6479 | 74 | #include "AliTRDCalibraVdriftLinearFit.h" |
55a288e5 | 75 | #include "AliTRDcalibDB.h" |
76 | #include "AliTRDgeometry.h" | |
3a0f6479 | 77 | #include "AliTRDpadPlane.h" |
78 | #include "AliTRDgeometry.h" | |
a076fc2f | 79 | #include "AliTRDCommonParam.h" |
55a288e5 | 80 | #include "./Cal/AliTRDCalROC.h" |
81 | #include "./Cal/AliTRDCalPad.h" | |
82 | #include "./Cal/AliTRDCalDet.h" | |
83 | ||
84 | ||
85 | ClassImp(AliTRDCalibraFit) | |
86 | ||
87 | AliTRDCalibraFit* AliTRDCalibraFit::fgInstance = 0; | |
88 | Bool_t AliTRDCalibraFit::fgTerminated = kFALSE; | |
89 | ||
90 | //_____________singleton implementation_________________________________________________ | |
91 | AliTRDCalibraFit *AliTRDCalibraFit::Instance() | |
92 | { | |
93 | // | |
94 | // Singleton implementation | |
95 | // | |
96 | ||
97 | if (fgTerminated != kFALSE) { | |
98 | return 0; | |
99 | } | |
100 | ||
101 | if (fgInstance == 0) { | |
102 | fgInstance = new AliTRDCalibraFit(); | |
103 | } | |
104 | ||
105 | return fgInstance; | |
106 | ||
107 | } | |
55a288e5 | 108 | //______________________________________________________________________________________ |
109 | void AliTRDCalibraFit::Terminate() | |
110 | { | |
111 | // | |
112 | // Singleton implementation | |
113 | // Deletes the instance of this class | |
114 | // | |
115 | ||
116 | fgTerminated = kTRUE; | |
117 | ||
118 | if (fgInstance != 0) { | |
119 | delete fgInstance; | |
120 | fgInstance = 0; | |
121 | } | |
122 | ||
123 | } | |
55a288e5 | 124 | //______________________________________________________________________________________ |
125 | AliTRDCalibraFit::AliTRDCalibraFit() | |
126 | :TObject() | |
f162af62 | 127 | ,fGeo(0) |
3a0f6479 | 128 | ,fNumberOfBinsExpected(0) |
129 | ,fMethod(0) | |
130 | ,fBeginFitCharge(3.5) | |
131 | ,fFitPHPeriode(1) | |
413153cb | 132 | ,fTakeTheMaxPH(kTRUE) |
133 | ,fT0Shift0(0.124797) | |
134 | ,fT0Shift1(0.267451) | |
3a0f6479 | 135 | ,fRangeFitPRF(1.0) |
55a288e5 | 136 | ,fAccCDB(kFALSE) |
3a0f6479 | 137 | ,fMinEntries(800) |
138 | ,fRebin(1) | |
55a288e5 | 139 | ,fNumberFit(0) |
140 | ,fNumberFitSuccess(0) | |
141 | ,fNumberEnt(0) | |
142 | ,fStatisticMean(0.0) | |
3a0f6479 | 143 | ,fDebugStreamer(0x0) |
144 | ,fDebugLevel(0) | |
55a288e5 | 145 | ,fFitVoir(0) |
3a0f6479 | 146 | ,fMagneticField(0.5) |
147 | ,fCalibraMode(new AliTRDCalibraMode()) | |
148 | ,fCurrentCoefE(0.0) | |
149 | ,fCurrentCoefE2(0.0) | |
150 | ,fDect1(0) | |
151 | ,fDect2(0) | |
55a288e5 | 152 | ,fScaleFitFactor(0.0) |
153 | ,fEntriesCurrent(0) | |
3a0f6479 | 154 | ,fCountDet(0) |
155 | ,fCount(0) | |
64942b85 | 156 | ,fNbDet(0) |
3a0f6479 | 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) | |
64942b85 | 215 | ,fNbDet(c.fNbDet) |
3a0f6479 | 216 | ,fCalDet(0x0) |
217 | ,fCalROC(0x0) | |
218 | ,fCalDet2(0x0) | |
219 | ,fCalROC2(0x0) | |
220 | ,fCurrentCoefDetector(0x0) | |
221 | ,fCurrentCoefDetector2(0x0) | |
222 | ,fVectorFit(0) | |
223 | ,fVectorFit2(0) | |
55a288e5 | 224 | { |
225 | // | |
226 | // Copy constructor | |
227 | // | |
228 | ||
3a0f6479 | 229 | if(c.fCalibraMode) fCalibraMode = new AliTRDCalibraMode(*c.fCalibraMode); |
230 | ||
231 | //Current variables initialised | |
232 | for (Int_t k = 0; k < 2; k++) { | |
233 | fCurrentCoef[k] = 0.0; | |
234 | fCurrentCoef2[k] = 0.0; | |
235 | } | |
236 | for (Int_t i = 0; i < 3; i++) { | |
237 | fPhd[i] = 0.0; | |
238 | fDet[i] = 0; | |
239 | } | |
240 | if(c.fCalDet) fCalDet = new AliTRDCalDet(*c.fCalDet); | |
241 | if(c.fCalDet2) fCalDet2 = new AliTRDCalDet(*c.fCalDet2); | |
64942b85 | 242 | |
3a0f6479 | 243 | if(c.fCalROC) fCalROC = new AliTRDCalROC(*c.fCalROC); |
244 | if(c.fCalROC2) fCalROC = new AliTRDCalROC(*c.fCalROC2); | |
245 | ||
246 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
247 | for(Int_t k = 0; k < c.fVectorFit.GetEntriesFast(); k++){ | |
248 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
249 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetDetector(); | |
250 | Int_t ntotal = 1; | |
053767a4 | 251 | if (GetStack(detector) == 2) { |
3a0f6479 | 252 | ntotal = 1728; |
253 | } | |
254 | else { | |
255 | ntotal = 2304; | |
256 | } | |
257 | Float_t *coef = new Float_t[ntotal]; | |
258 | for (Int_t i = 0; i < ntotal; i++) { | |
259 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit.UncheckedAt(k))->GetCoef()[i]; | |
260 | } | |
261 | fitInfo->SetCoef(coef); | |
262 | fitInfo->SetDetector(detector); | |
263 | fVectorFit.Add((TObject *) fitInfo); | |
264 | } | |
265 | fVectorFit.SetName(c.fVectorFit.GetName()); | |
266 | for(Int_t k = 0; k < c.fVectorFit2.GetEntriesFast(); k++){ | |
267 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); | |
268 | Int_t detector = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetDetector(); | |
269 | Int_t ntotal = 1; | |
053767a4 | 270 | if (GetStack(detector) == 2) { |
3a0f6479 | 271 | ntotal = 1728; |
272 | } | |
273 | else { | |
274 | ntotal = 2304; | |
275 | } | |
276 | Float_t *coef = new Float_t[ntotal]; | |
277 | for (Int_t i = 0; i < ntotal; i++) { | |
278 | coef[i] = ((AliTRDFitInfo *)c.fVectorFit2.UncheckedAt(k))->GetCoef()[i]; | |
279 | } | |
280 | fitInfo->SetCoef(coef); | |
281 | fitInfo->SetDetector(detector); | |
282 | fVectorFit2.Add((TObject *) fitInfo); | |
283 | } | |
284 | if (fGeo) { | |
285 | delete fGeo; | |
286 | } | |
287 | fGeo = new AliTRDgeometry(); | |
55a288e5 | 288 | |
3a0f6479 | 289 | } |
55a288e5 | 290 | //____________________________________________________________________________________ |
291 | AliTRDCalibraFit::~AliTRDCalibraFit() | |
292 | { | |
293 | // | |
294 | // AliTRDCalibraFit destructor | |
295 | // | |
3a0f6479 | 296 | if ( fDebugStreamer ) delete fDebugStreamer; |
297 | if ( fCalDet ) delete fCalDet; | |
298 | if ( fCalDet2 ) delete fCalDet2; | |
299 | if ( fCalROC ) delete fCalROC; | |
1ca79a00 | 300 | if ( fCalROC2 ) delete fCalROC2; |
301 | if( fCurrentCoefDetector ) delete [] fCurrentCoefDetector; | |
302 | if( fCurrentCoefDetector2 ) delete [] fCurrentCoefDetector2; | |
3a0f6479 | 303 | fVectorFit.Delete(); |
304 | fVectorFit2.Delete(); | |
f162af62 | 305 | if (fGeo) { |
306 | delete fGeo; | |
307 | } | |
308 | ||
55a288e5 | 309 | } |
55a288e5 | 310 | //_____________________________________________________________________________ |
311 | void AliTRDCalibraFit::Destroy() | |
312 | { | |
313 | // | |
314 | // Delete instance | |
315 | // | |
316 | ||
317 | if (fgInstance) { | |
318 | delete fgInstance; | |
319 | fgInstance = 0x0; | |
320 | } | |
321 | ||
64942b85 | 322 | } |
323 | //_____________________________________________________________________________ | |
324 | void AliTRDCalibraFit::DestroyDebugStreamer() | |
325 | { | |
326 | // | |
327 | // Delete DebugStreamer | |
328 | // | |
329 | ||
330 | if ( fDebugStreamer ) delete fDebugStreamer; | |
331 | fDebugStreamer = 0x0; | |
332 | ||
413153cb | 333 | } |
334 | //__________________________________________________________________________________ | |
979b168f | 335 | void AliTRDCalibraFit::RangeChargeIntegration(Float_t vdrift, Float_t t0, Int_t &begin, Int_t &peak, Int_t &end) const |
413153cb | 336 | { |
337 | // | |
338 | // From the drift velocity and t0 | |
339 | // return the position of the peak and maximum negative slope | |
340 | // | |
341 | ||
342 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); // drift region | |
343 | Double_t widbins = 0.1; // 0.1 mus | |
344 | ||
345 | //peak and maxnegslope in mus | |
346 | Double_t begind = t0*widbins + fT0Shift0; | |
347 | Double_t peakd = t0*widbins + fT0Shift1; | |
348 | Double_t maxnegslope = (kDrWidth + vdrift*peakd)/vdrift; | |
349 | ||
350 | // peak and maxnegslope in timebin | |
351 | begin = TMath::Nint(begind*widbins); | |
352 | peak = TMath::Nint(peakd*widbins); | |
353 | end = TMath::Nint(maxnegslope*widbins); | |
354 | ||
55a288e5 | 355 | } |
55a288e5 | 356 | //____________Functions fit Online CH2d________________________________________ |
979b168f | 357 | Bool_t AliTRDCalibraFit::AnalyseCH(const TH2I *ch) |
55a288e5 | 358 | { |
359 | // | |
360 | // Fit the 1D histos, projections of the 2D ch on the Xaxis, for each | |
361 | // calibration group normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 362 | // |
363 | ||
3a0f6479 | 364 | // Set the calibration mode |
4c865c34 | 365 | //const char *name = ch->GetTitle(); |
366 | TString name = ch->GetTitle(); | |
64942b85 | 367 | if(!SetModeCalibration(name,0)) return kFALSE; |
3a0f6479 | 368 | |
369 | // Number of Ybins (detectors or groups of pads) | |
370 | Int_t nbins = ch->GetNbinsX();// charge | |
371 | Int_t nybins = ch->GetNbinsY();// groups number | |
372 | if (!InitFit(nybins,0)) { | |
55a288e5 | 373 | return kFALSE; |
374 | } | |
3a0f6479 | 375 | if (!InitFitCH()) { |
55a288e5 | 376 | return kFALSE; |
377 | } | |
378 | fStatisticMean = 0.0; | |
379 | fNumberFit = 0; | |
380 | fNumberFitSuccess = 0; | |
381 | fNumberEnt = 0; | |
55a288e5 | 382 | // Init fCountDet and fCount |
383 | InitfCountDetAndfCount(0); | |
55a288e5 | 384 | // Beginning of the loop betwwen dect1 and dect2 |
3a0f6479 | 385 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
386 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi... | |
55a288e5 | 387 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 388 | ReconstructFitRowMinRowMax(idect, 0); |
3a0f6479 | 389 | // Take the histo |
390 | TH1I *projch = (TH1I *) ch->ProjectionX("projch",idect+1,idect+1,(Option_t *)"e"); | |
391 | projch->SetDirectory(0); | |
55a288e5 | 392 | // Number of entries for this calibration group |
393 | Double_t nentries = 0.0; | |
394 | Double_t mean = 0.0; | |
3a0f6479 | 395 | for (Int_t k = 0; k < nbins; k++) { |
396 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
397 | nentries += ch->GetBinContent(binnb); | |
55a288e5 | 398 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); |
3a0f6479 | 399 | projch->SetBinError(k+1,TMath::Sqrt(projch->GetBinContent(k+1))); |
55a288e5 | 400 | } |
3a0f6479 | 401 | projch->SetEntries(nentries); |
402 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 403 | if (nentries > 0) { |
404 | fNumberEnt++; | |
405 | mean /= nentries; | |
406 | } | |
55a288e5 | 407 | // Rebin and statistic stuff |
55a288e5 | 408 | if (fRebin > 1) { |
409 | projch = ReBin((TH1I *) projch); | |
410 | } | |
411 | // This detector has not enough statistics or was off | |
3a0f6479 | 412 | if (nentries <= fMinEntries) { |
413 | NotEnoughStatisticCH(idect); | |
414 | if (fDebugLevel != 1) { | |
55a288e5 | 415 | delete projch; |
416 | } | |
417 | continue; | |
418 | } | |
55a288e5 | 419 | // Statistics of the group fitted |
55a288e5 | 420 | fStatisticMean += nentries; |
421 | fNumberFit++; | |
3a0f6479 | 422 | //Method choosen |
423 | switch(fMethod) | |
424 | { | |
425 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
426 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
427 | case 2: FitCH((TH1 *) projch, mean); break; | |
428 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
429 | default: return kFALSE; | |
430 | } | |
55a288e5 | 431 | // Fill Infos Fit |
3a0f6479 | 432 | FillInfosFitCH(idect); |
55a288e5 | 433 | // Memory!!! |
3a0f6479 | 434 | if (fDebugLevel != 1) { |
55a288e5 | 435 | delete projch; |
436 | } | |
55a288e5 | 437 | } // Boucle object |
55a288e5 | 438 | // Normierungcharge |
3a0f6479 | 439 | if (fDebugLevel != 1) { |
55a288e5 | 440 | NormierungCharge(); |
441 | } | |
55a288e5 | 442 | // Mean Statistic |
443 | if (fNumberFit > 0) { | |
3a0f6479 | 444 | 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 | 445 | fStatisticMean = fStatisticMean / fNumberFit; |
446 | } | |
447 | else { | |
448 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
449 | } | |
3a0f6479 | 450 | delete fDebugStreamer; |
451 | fDebugStreamer = 0x0; | |
452 | ||
55a288e5 | 453 | return kTRUE; |
55a288e5 | 454 | } |
55a288e5 | 455 | //____________Functions fit Online CH2d________________________________________ |
3a0f6479 | 456 | Bool_t AliTRDCalibraFit::AnalyseCH(AliTRDCalibraVector *calvect) |
55a288e5 | 457 | { |
458 | // | |
459 | // Reconstruct a 1D histo from the vectorCH for each calibration group, | |
460 | // fit the histo, normalized the resulted coefficients (to 1 normally) | |
55a288e5 | 461 | // |
462 | ||
3a0f6479 | 463 | // Set the calibraMode |
4c865c34 | 464 | //const char *name = calvect->GetNameCH(); |
465 | TString name = calvect->GetNameCH(); | |
64942b85 | 466 | if(!SetModeCalibration(name,0)) return kFALSE; |
55a288e5 | 467 | |
3a0f6479 | 468 | // Number of Xbins (detectors or groups of pads) |
469 | if (!InitFit((432*calvect->GetDetCha0(0)+108*calvect->GetDetCha2(0)),0)) { | |
55a288e5 | 470 | return kFALSE; |
471 | } | |
3a0f6479 | 472 | if (!InitFitCH()) { |
55a288e5 | 473 | return kFALSE; |
474 | } | |
475 | fStatisticMean = 0.0; | |
476 | fNumberFit = 0; | |
477 | fNumberFitSuccess = 0; | |
478 | fNumberEnt = 0; | |
55a288e5 | 479 | // Init fCountDet and fCount |
480 | InitfCountDetAndfCount(0); | |
55a288e5 | 481 | // Beginning of the loop between dect1 and dect2 |
3a0f6479 | 482 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
483 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 484 | UpdatefCountDetAndfCount(idect,0); |
55a288e5 | 485 | ReconstructFitRowMinRowMax(idect,0); |
3a0f6479 | 486 | // Take the histo |
55a288e5 | 487 | Double_t nentries = 0.0; |
488 | Double_t mean = 0.0; | |
e526983e | 489 | if(!calvect->GetCHEntries(fCountDet)) { |
490 | NotEnoughStatisticCH(idect); | |
491 | continue; | |
492 | } | |
493 | ||
494 | TString tname("CH"); | |
495 | tname += idect; | |
496 | TH1F *projch = calvect->ConvertVectorCHHisto(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0)))),(const char *) tname); | |
497 | projch->SetDirectory(0); | |
498 | for (Int_t k = 0; k < calvect->GetNumberBinCharge(); k++) { | |
499 | nentries += projch->GetBinContent(k+1); | |
500 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); | |
501 | } | |
502 | if (nentries > 0) { | |
503 | fNumberEnt++; | |
504 | mean /= nentries; | |
505 | } | |
506 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
507 | // Rebin | |
508 | if (fRebin > 1) { | |
509 | projch = ReBin((TH1F *) projch); | |
55a288e5 | 510 | } |
55a288e5 | 511 | // This detector has not enough statistics or was not found in VectorCH |
3a0f6479 | 512 | if (nentries <= fMinEntries) { |
513 | NotEnoughStatisticCH(idect); | |
55a288e5 | 514 | continue; |
55a288e5 | 515 | } |
55a288e5 | 516 | // Statistic of the histos fitted |
55a288e5 | 517 | fStatisticMean += nentries; |
518 | fNumberFit++; | |
3a0f6479 | 519 | //Method choosen |
520 | switch(fMethod) | |
521 | { | |
522 | case 0: FitMeanW((TH1 *) projch, nentries); break; | |
523 | case 1: FitMean((TH1 *) projch, nentries, mean); break; | |
524 | case 2: FitCH((TH1 *) projch, mean); break; | |
525 | case 3: FitBisCH((TH1 *) projch, mean); break; | |
526 | default: return kFALSE; | |
527 | } | |
55a288e5 | 528 | // Fill Infos Fit |
3a0f6479 | 529 | FillInfosFitCH(idect); |
55a288e5 | 530 | } // Boucle object |
55a288e5 | 531 | // Normierungcharge |
3a0f6479 | 532 | if (fDebugLevel != 1) { |
55a288e5 | 533 | NormierungCharge(); |
534 | } | |
55a288e5 | 535 | // Mean Statistics |
536 | if (fNumberFit > 0) { | |
3a0f6479 | 537 | 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 | 538 | fStatisticMean = fStatisticMean / fNumberFit; |
539 | } | |
540 | else { | |
541 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
542 | } | |
3a0f6479 | 543 | delete fDebugStreamer; |
544 | fDebugStreamer = 0x0; | |
55a288e5 | 545 | return kTRUE; |
55a288e5 | 546 | } |
3a0f6479 | 547 | //________________functions fit Online PH2d____________________________________ |
979b168f | 548 | Bool_t AliTRDCalibraFit::AnalysePH(const TProfile2D *ph) |
55a288e5 | 549 | { |
550 | // | |
3a0f6479 | 551 | // Take the 1D profiles (average pulse height), projections of the 2D PH |
552 | // on the Xaxis, for each calibration group | |
553 | // Reconstruct a drift velocity | |
554 | // A first calibration of T0 is also made using the same method | |
55a288e5 | 555 | // |
556 | ||
3a0f6479 | 557 | // Set the calibration mode |
4c865c34 | 558 | //const char *name = ph->GetTitle(); |
559 | TString name = ph->GetTitle(); | |
64942b85 | 560 | if(!SetModeCalibration(name,1)) return kFALSE; |
3a0f6479 | 561 | |
6aafa7ea | 562 | //printf("Mode calibration set\n"); |
563 | ||
3a0f6479 | 564 | // Number of Xbins (detectors or groups of pads) |
565 | Int_t nbins = ph->GetNbinsX();// time | |
566 | Int_t nybins = ph->GetNbinsY();// calibration group | |
567 | if (!InitFit(nybins,1)) { | |
55a288e5 | 568 | return kFALSE; |
569 | } | |
6aafa7ea | 570 | |
571 | //printf("Init fit\n"); | |
572 | ||
3a0f6479 | 573 | if (!InitFitPH()) { |
55a288e5 | 574 | return kFALSE; |
575 | } | |
6aafa7ea | 576 | |
577 | //printf("Init fit PH\n"); | |
578 | ||
55a288e5 | 579 | fStatisticMean = 0.0; |
580 | fNumberFit = 0; | |
581 | fNumberFitSuccess = 0; | |
582 | fNumberEnt = 0; | |
55a288e5 | 583 | // Init fCountDet and fCount |
3a0f6479 | 584 | InitfCountDetAndfCount(1); |
6aafa7ea | 585 | //printf("Init Count Det and fCount %d, %d\n",fDect1,fDect2); |
586 | ||
3a0f6479 | 587 | // Beginning of the loop |
588 | for (Int_t idect = fDect1; idect < fDect2; idect++) { | |
6aafa7ea | 589 | //printf("idect = %d\n",idect); |
3a0f6479 | 590 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... |
591 | UpdatefCountDetAndfCount(idect,1); | |
592 | ReconstructFitRowMinRowMax(idect,1); | |
593 | // Take the histo | |
594 | TH1D *projph = (TH1D *) ph->ProjectionX("projph",idect+1,idect+1,(Option_t *) "e"); | |
595 | projph->SetDirectory(0); | |
596 | // Number of entries for this calibration group | |
597 | Double_t nentries = 0; | |
598 | for (Int_t k = 0; k < nbins; k++) { | |
599 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
600 | nentries += ph->GetBinEntries(binnb); | |
55a288e5 | 601 | } |
55a288e5 | 602 | if (nentries > 0) { |
3a0f6479 | 603 | fNumberEnt++; |
604 | } | |
605 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
606 | // This detector has not enough statistics or was off | |
607 | if (nentries <= fMinEntries) { | |
608 | //printf("Not enough statistic!\n"); | |
64942b85 | 609 | NotEnoughStatisticPH(idect,nentries); |
3a0f6479 | 610 | if (fDebugLevel != 1) { |
611 | delete projph; | |
612 | } | |
55a288e5 | 613 | continue; |
55a288e5 | 614 | } |
3a0f6479 | 615 | // Statistics of the histos fitted |
55a288e5 | 616 | fNumberFit++; |
617 | fStatisticMean += nentries; | |
3a0f6479 | 618 | // Calcul of "real" coef |
619 | CalculVdriftCoefMean(); | |
620 | CalculT0CoefMean(); | |
621 | //Method choosen | |
6aafa7ea | 622 | //printf("Method\n"); |
3a0f6479 | 623 | switch(fMethod) |
624 | { | |
625 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
626 | case 1: FitPente((TH1 *) projph); break; | |
627 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
628 | default: return kFALSE; | |
629 | } | |
630 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
64942b85 | 631 | FillInfosFitPH(idect,nentries); |
3a0f6479 | 632 | // Memory!!! |
633 | if (fDebugLevel != 1) { | |
634 | delete projph; | |
55a288e5 | 635 | } |
55a288e5 | 636 | } // Boucle object |
55a288e5 | 637 | // Mean Statistic |
638 | if (fNumberFit > 0) { | |
3a0f6479 | 639 | 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 | 640 | fStatisticMean = fStatisticMean / fNumberFit; |
641 | } | |
642 | else { | |
643 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
644 | } | |
3a0f6479 | 645 | delete fDebugStreamer; |
646 | fDebugStreamer = 0x0; | |
55a288e5 | 647 | return kTRUE; |
55a288e5 | 648 | } |
3a0f6479 | 649 | //____________Functions fit Online PH2d________________________________________ |
650 | Bool_t AliTRDCalibraFit::AnalysePH(AliTRDCalibraVector *calvect) | |
55a288e5 | 651 | { |
652 | // | |
3a0f6479 | 653 | // Reconstruct the average pulse height from the vectorPH for each |
654 | // calibration group | |
655 | // Reconstruct a drift velocity | |
55a288e5 | 656 | // A first calibration of T0 is also made using the same method (slope method) |
657 | // | |
658 | ||
3a0f6479 | 659 | // Set the calibration mode |
4c865c34 | 660 | //const char *name = calvect->GetNamePH(); |
661 | TString name = calvect->GetNamePH(); | |
64942b85 | 662 | if(!SetModeCalibration(name,1)) return kFALSE; |
3a0f6479 | 663 | |
664 | // Number of Xbins (detectors or groups of pads) | |
665 | if (!InitFit((432*calvect->GetDetCha0(1)+108*calvect->GetDetCha2(1)),1)) { | |
55a288e5 | 666 | return kFALSE; |
667 | } | |
3a0f6479 | 668 | if (!InitFitPH()) { |
55a288e5 | 669 | return kFALSE; |
670 | } | |
671 | fStatisticMean = 0.0; | |
672 | fNumberFit = 0; | |
673 | fNumberFitSuccess = 0; | |
674 | fNumberEnt = 0; | |
55a288e5 | 675 | // Init fCountDet and fCount |
676 | InitfCountDetAndfCount(1); | |
55a288e5 | 677 | // Beginning of the loop |
3a0f6479 | 678 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
679 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........... | |
55a288e5 | 680 | UpdatefCountDetAndfCount(idect,1); |
55a288e5 | 681 | ReconstructFitRowMinRowMax(idect,1); |
3a0f6479 | 682 | // Take the histo |
3a0f6479 | 683 | fEntriesCurrent = 0; |
e526983e | 684 | if(!calvect->GetPHEntries(fCountDet)) { |
685 | NotEnoughStatisticPH(idect,fEntriesCurrent); | |
686 | continue; | |
3a0f6479 | 687 | } |
e526983e | 688 | TString tname("PH"); |
689 | tname += idect; | |
690 | TH1F *projph = calvect->CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPHTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname)),fEntriesCurrent); | |
691 | projph->SetDirectory(0); | |
692 | if(fEntriesCurrent > 0) fNumberEnt++; | |
3a0f6479 | 693 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); |
55a288e5 | 694 | // This detector has not enough statistics or was off |
3a0f6479 | 695 | if (fEntriesCurrent <= fMinEntries) { |
696 | //printf("Not enough stat!\n"); | |
64942b85 | 697 | NotEnoughStatisticPH(idect,fEntriesCurrent); |
55a288e5 | 698 | continue; |
55a288e5 | 699 | } |
3a0f6479 | 700 | // Statistic of the histos fitted |
55a288e5 | 701 | fNumberFit++; |
3a0f6479 | 702 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 703 | // Calcul of "real" coef |
3a0f6479 | 704 | CalculVdriftCoefMean(); |
705 | CalculT0CoefMean(); | |
706 | //Method choosen | |
707 | switch(fMethod) | |
708 | { | |
709 | case 0: FitLagrangePoly((TH1 *) projph); break; | |
710 | case 1: FitPente((TH1 *) projph); break; | |
711 | case 2: FitPH((TH1 *) projph,(Int_t) (idect - fDect1)); break; | |
712 | default: return kFALSE; | |
713 | } | |
55a288e5 | 714 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
64942b85 | 715 | FillInfosFitPH(idect,fEntriesCurrent); |
55a288e5 | 716 | } // Boucle object |
e526983e | 717 | |
55a288e5 | 718 | // Mean Statistic |
719 | if (fNumberFit > 0) { | |
3a0f6479 | 720 | 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 | 721 | fStatisticMean = fStatisticMean / fNumberFit; |
722 | } | |
723 | else { | |
724 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
725 | } | |
3a0f6479 | 726 | delete fDebugStreamer; |
727 | fDebugStreamer = 0x0; | |
55a288e5 | 728 | return kTRUE; |
55a288e5 | 729 | } |
3a0f6479 | 730 | //____________Functions fit Online PRF2d_______________________________________ |
979b168f | 731 | Bool_t AliTRDCalibraFit::AnalysePRF(const TProfile2D *prf) |
55a288e5 | 732 | { |
733 | // | |
3a0f6479 | 734 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
735 | // on the Xaxis, for each calibration group | |
736 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 737 | // |
738 | ||
3a0f6479 | 739 | // Set the calibration mode |
4c865c34 | 740 | //const char *name = prf->GetTitle(); |
741 | TString name = prf->GetTitle(); | |
64942b85 | 742 | if(!SetModeCalibration(name,2)) return kFALSE; |
55a288e5 | 743 | |
3a0f6479 | 744 | // Number of Ybins (detectors or groups of pads) |
745 | Int_t nybins = prf->GetNbinsY();// calibration groups | |
746 | Int_t nbins = prf->GetNbinsX();// bins | |
747 | Int_t nbg = GetNumberOfGroupsPRF((const char *)prf->GetTitle()); | |
748 | if((nbg > 0) || (nbg == -1)) return kFALSE; | |
749 | if (!InitFit(nybins,2)) { | |
55a288e5 | 750 | return kFALSE; |
751 | } | |
3a0f6479 | 752 | if (!InitFitPRF()) { |
55a288e5 | 753 | return kFALSE; |
754 | } | |
755 | fStatisticMean = 0.0; | |
756 | fNumberFit = 0; | |
757 | fNumberFitSuccess = 0; | |
758 | fNumberEnt = 0; | |
55a288e5 | 759 | // Init fCountDet and fCount |
3a0f6479 | 760 | InitfCountDetAndfCount(2); |
55a288e5 | 761 | // Beginning of the loop |
3a0f6479 | 762 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
763 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
764 | UpdatefCountDetAndfCount(idect,2); | |
765 | ReconstructFitRowMinRowMax(idect,2); | |
766 | // Take the histo | |
767 | TH1D *projprf = (TH1D *) prf->ProjectionX("projprf",idect+1,idect+1,(Option_t *) "e"); | |
768 | projprf->SetDirectory(0); | |
769 | // Number of entries for this calibration group | |
770 | Double_t nentries = 0; | |
771 | for (Int_t k = 0; k < nbins; k++) { | |
772 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
773 | nentries += prf->GetBinEntries(binnb); | |
55a288e5 | 774 | } |
3a0f6479 | 775 | if(nentries > 0) fNumberEnt++; |
55a288e5 | 776 | // This detector has not enough statistics or was off |
3a0f6479 | 777 | if (nentries <= fMinEntries) { |
778 | NotEnoughStatisticPRF(idect); | |
779 | if (fDebugLevel != 1) { | |
780 | delete projprf; | |
55a288e5 | 781 | } |
55a288e5 | 782 | continue; |
55a288e5 | 783 | } |
3a0f6479 | 784 | // Statistics of the histos fitted |
55a288e5 | 785 | fNumberFit++; |
3a0f6479 | 786 | fStatisticMean += nentries; |
55a288e5 | 787 | // Calcul of "real" coef |
3a0f6479 | 788 | CalculPRFCoefMean(); |
789 | //Method choosen | |
790 | switch(fMethod) | |
791 | { | |
792 | case 0: FitPRF((TH1 *) projprf); break; | |
793 | case 1: RmsPRF((TH1 *) projprf); break; | |
794 | default: return kFALSE; | |
795 | } | |
55a288e5 | 796 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 797 | FillInfosFitPRF(idect); |
55a288e5 | 798 | // Memory!!! |
3a0f6479 | 799 | if (fDebugLevel != 1) { |
800 | delete projprf; | |
55a288e5 | 801 | } |
55a288e5 | 802 | } // Boucle object |
55a288e5 | 803 | // Mean Statistic |
804 | if (fNumberFit > 0) { | |
805 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
806 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
807 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
808 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
809 | fStatisticMean = fStatisticMean / fNumberFit; | |
810 | } | |
811 | else { | |
812 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
813 | } | |
3a0f6479 | 814 | delete fDebugStreamer; |
815 | fDebugStreamer = 0x0; | |
55a288e5 | 816 | return kTRUE; |
55a288e5 | 817 | } |
3a0f6479 | 818 | //____________Functions fit Online PRF2d_______________________________________ |
979b168f | 819 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(const TProfile2D *prf) |
55a288e5 | 820 | { |
821 | // | |
3a0f6479 | 822 | // Take the 1D profiles (pad response function), projections of the 2D PRF |
823 | // on the Xaxis, for each calibration group | |
824 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 825 | // |
3a0f6479 | 826 | |
827 | // Set the calibration mode | |
4c865c34 | 828 | //const char *name = prf->GetTitle(); |
829 | TString name = prf->GetTitle(); | |
64942b85 | 830 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 831 | |
832 | // Number of Ybins (detectors or groups of pads) | |
833 | TAxis *xprf = prf->GetXaxis(); | |
834 | TAxis *yprf = prf->GetYaxis(); | |
835 | Int_t nybins = yprf->GetNbins();// calibration groups | |
836 | Int_t nbins = xprf->GetNbins();// bins | |
837 | Float_t lowedge = (Float_t) xprf->GetBinLowEdge(1);//lowedge in bins | |
838 | Float_t upedge = (Float_t) xprf->GetBinUpEdge(nbins);//upedge in bins | |
839 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
840 | if(nbg == -1) return kFALSE; | |
841 | if(nbg > 0) fMethod = 1; | |
842 | else fMethod = 0; | |
843 | if (!InitFit(nybins,2)) { | |
55a288e5 | 844 | return kFALSE; |
845 | } | |
3a0f6479 | 846 | if (!InitFitPRF()) { |
55a288e5 | 847 | return kFALSE; |
848 | } | |
849 | fStatisticMean = 0.0; | |
3a0f6479 | 850 | fNumberFit = 0; |
55a288e5 | 851 | fNumberFitSuccess = 0; |
852 | fNumberEnt = 0; | |
55a288e5 | 853 | // Init fCountDet and fCount |
3a0f6479 | 854 | InitfCountDetAndfCount(2); |
55a288e5 | 855 | // Beginning of the loop |
3a0f6479 | 856 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
857 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi....... | |
858 | UpdatefCountDetAndfCount(idect,2); | |
859 | ReconstructFitRowMinRowMax(idect,2); | |
860 | // Build the array of entries and sum | |
861 | TArrayD arraye = TArrayD(nbins); | |
862 | TArrayD arraym = TArrayD(nbins); | |
863 | TArrayD arrayme = TArrayD(nbins); | |
864 | Double_t nentries = 0; | |
865 | //printf("nbins %d\n",nbins); | |
866 | for (Int_t k = 0; k < nbins; k++) { | |
867 | Int_t binnb = (nbins+2)*(idect+1)+(k+1); | |
868 | Double_t entries = (Double_t)prf->GetBinEntries(binnb); | |
869 | Double_t mean = (Double_t)prf->GetBinContent(binnb); | |
870 | Double_t error = (Double_t)prf->GetBinError(binnb); | |
871 | //printf("for %d we have %f\n",k,entries); | |
872 | nentries += entries; | |
873 | arraye.AddAt(entries,k); | |
874 | arraym.AddAt(mean,k); | |
875 | arrayme.AddAt(error,k); | |
55a288e5 | 876 | } |
3a0f6479 | 877 | if(nentries > 0) fNumberEnt++; |
878 | //printf("The number of entries for the group %d is %f\n",idect,nentries); | |
55a288e5 | 879 | // This detector has not enough statistics or was off |
3a0f6479 | 880 | if (nentries <= fMinEntries) { |
881 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 882 | continue; |
55a288e5 | 883 | } |
55a288e5 | 884 | // Statistics of the histos fitted |
55a288e5 | 885 | fNumberFit++; |
3a0f6479 | 886 | fStatisticMean += nentries; |
55a288e5 | 887 | // Calcul of "real" coef |
3a0f6479 | 888 | CalculPRFCoefMean(); |
889 | //Method choosen | |
890 | switch(fMethod) | |
891 | { | |
892 | case 0: FitPRFGausMI( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbins, lowedge, upedge); break; | |
893 | case 1: FitTnpRange( arraye.GetArray(), arraym.GetArray(), arrayme.GetArray(), nbg, nbins); break; | |
894 | default: return kFALSE; | |
895 | } | |
55a288e5 | 896 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 897 | FillInfosFitPRF(idect); |
55a288e5 | 898 | } // Boucle object |
3a0f6479 | 899 | // Mean Statistic |
55a288e5 | 900 | if (fNumberFit > 0) { |
901 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
902 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
903 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
904 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
905 | fStatisticMean = fStatisticMean / fNumberFit; | |
906 | } | |
907 | else { | |
908 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
909 | } | |
3a0f6479 | 910 | delete fDebugStreamer; |
911 | fDebugStreamer = 0x0; | |
55a288e5 | 912 | return kTRUE; |
55a288e5 | 913 | } |
55a288e5 | 914 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 915 | Bool_t AliTRDCalibraFit::AnalysePRF(AliTRDCalibraVector *calvect) |
55a288e5 | 916 | { |
917 | // | |
3a0f6479 | 918 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for |
919 | // each calibration group | |
55a288e5 | 920 | // Fit with a gaussian to reconstruct the sigma of the pad response function |
55a288e5 | 921 | // |
922 | ||
3a0f6479 | 923 | // Set the calibra mode |
4c865c34 | 924 | //const char *name = calvect->GetNamePRF(); |
925 | TString name = calvect->GetNamePRF(); | |
64942b85 | 926 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 927 | //printf("test0 %s\n",name); |
55a288e5 | 928 | |
929 | // Number of Xbins (detectors or groups of pads) | |
3a0f6479 | 930 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { |
931 | //printf("test1\n"); | |
932 | return kFALSE; | |
933 | } | |
934 | if (!InitFitPRF()) { | |
935 | ///printf("test2\n"); | |
55a288e5 | 936 | return kFALSE; |
937 | } | |
938 | fStatisticMean = 0.0; | |
939 | fNumberFit = 0; | |
940 | fNumberFitSuccess = 0; | |
941 | fNumberEnt = 0; | |
55a288e5 | 942 | // Init fCountDet and fCount |
943 | InitfCountDetAndfCount(2); | |
55a288e5 | 944 | // Beginning of the loop |
3a0f6479 | 945 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
946 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi........ | |
55a288e5 | 947 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 948 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 949 | // Take the histo |
3a0f6479 | 950 | fEntriesCurrent = 0; |
e526983e | 951 | if(!calvect->GetPRFEntries(fCountDet)) { |
952 | NotEnoughStatisticPRF(idect); | |
953 | continue; | |
3a0f6479 | 954 | } |
e526983e | 955 | TString tname("PRF"); |
956 | tname += idect; | |
957 | TH1F *projprf = calvect->CorrectTheError((TGraphErrors *) (calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname)),fEntriesCurrent); | |
958 | projprf->SetDirectory(0); | |
959 | if(fEntriesCurrent > 0) fNumberEnt++; | |
55a288e5 | 960 | // This detector has not enough statistics or was off |
3a0f6479 | 961 | if (fEntriesCurrent <= fMinEntries) { |
962 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 963 | continue; |
55a288e5 | 964 | } |
3a0f6479 | 965 | // Statistic of the histos fitted |
55a288e5 | 966 | fNumberFit++; |
3a0f6479 | 967 | fStatisticMean += fEntriesCurrent; |
55a288e5 | 968 | // Calcul of "real" coef |
3a0f6479 | 969 | CalculPRFCoefMean(); |
970 | //Method choosen | |
971 | switch(fMethod) | |
972 | { | |
973 | case 1: FitPRF((TH1 *) projprf); break; | |
974 | case 2: RmsPRF((TH1 *) projprf); break; | |
975 | default: return kFALSE; | |
976 | } | |
55a288e5 | 977 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 978 | FillInfosFitPRF(idect); |
55a288e5 | 979 | } // Boucle object |
3a0f6479 | 980 | // Mean Statistics |
55a288e5 | 981 | if (fNumberFit > 0) { |
3a0f6479 | 982 | 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 | 983 | } |
984 | else { | |
985 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
986 | } | |
3a0f6479 | 987 | delete fDebugStreamer; |
988 | fDebugStreamer = 0x0; | |
55a288e5 | 989 | return kTRUE; |
55a288e5 | 990 | } |
55a288e5 | 991 | //____________Functions fit Online PRF2d_______________________________________ |
3a0f6479 | 992 | Bool_t AliTRDCalibraFit::AnalysePRFMarianFit(AliTRDCalibraVector *calvect) |
55a288e5 | 993 | { |
994 | // | |
995 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for | |
996 | // each calibration group | |
997 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
55a288e5 | 998 | // |
999 | ||
3a0f6479 | 1000 | // Set the calibra mode |
4c865c34 | 1001 | //const char *name = calvect->GetNamePRF(); |
1002 | TString name = calvect->GetNamePRF(); | |
64942b85 | 1003 | if(!SetModeCalibration(name,2)) return kFALSE; |
3a0f6479 | 1004 | //printf("test0 %s\n",name); |
1005 | Int_t nbg = GetNumberOfGroupsPRF((const char *)name); | |
64942b85 | 1006 | //printf("test1 %d\n",nbg); |
3a0f6479 | 1007 | if(nbg == -1) return kFALSE; |
1008 | if(nbg > 0) fMethod = 1; | |
1009 | else fMethod = 0; | |
1010 | // Number of Xbins (detectors or groups of pads) | |
1011 | if (!InitFit((432*calvect->GetDetCha0(2)+108*calvect->GetDetCha2(2)),2)) { | |
1012 | //printf("test2\n"); | |
55a288e5 | 1013 | return kFALSE; |
1014 | } | |
3a0f6479 | 1015 | if (!InitFitPRF()) { |
1016 | //printf("test3\n"); | |
55a288e5 | 1017 | return kFALSE; |
1018 | } | |
1019 | fStatisticMean = 0.0; | |
1020 | fNumberFit = 0; | |
1021 | fNumberFitSuccess = 0; | |
1022 | fNumberEnt = 0; | |
3a0f6479 | 1023 | // Variables |
1024 | Int_t nbins = 0; | |
1025 | Double_t *arrayx = 0; | |
1026 | Double_t *arraye = 0; | |
1027 | Double_t *arraym = 0; | |
1028 | Double_t *arrayme = 0; | |
1029 | Float_t lowedge = 0.0; | |
1030 | Float_t upedge = 0.0; | |
55a288e5 | 1031 | // Init fCountDet and fCount |
1032 | InitfCountDetAndfCount(2); | |
55a288e5 | 1033 | // Beginning of the loop |
3a0f6479 | 1034 | for (Int_t idect = fDect1; idect < fDect2; idect++) { |
1035 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi...... | |
55a288e5 | 1036 | UpdatefCountDetAndfCount(idect,2); |
55a288e5 | 1037 | ReconstructFitRowMinRowMax(idect,2); |
3a0f6479 | 1038 | // Take the histo |
3a0f6479 | 1039 | fEntriesCurrent = 0; |
e526983e | 1040 | if(!calvect->GetPRFEntries(fCountDet)) { |
1041 | NotEnoughStatisticPRF(idect); | |
1042 | continue; | |
3a0f6479 | 1043 | } |
e526983e | 1044 | TString tname("PRF"); |
1045 | tname += idect; | |
1046 | TGraphErrors *projprftree = calvect->ConvertVectorPRFTGraphErrors(fCountDet,(idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1)))),(const char *) tname); | |
1047 | nbins = projprftree->GetN(); | |
1048 | arrayx = (Double_t *)projprftree->GetX(); | |
1049 | arraye = (Double_t *)projprftree->GetEX(); | |
1050 | arraym = (Double_t *)projprftree->GetY(); | |
1051 | arrayme = (Double_t *)projprftree->GetEY(); | |
1052 | Float_t step = arrayx[1]-arrayx[0]; | |
1053 | lowedge = arrayx[0] - step/2.0; | |
1054 | upedge = arrayx[(nbins-1)] + step/2.0; | |
1055 | //printf("nbins est %d\n",nbins); | |
1056 | for(Int_t k = 0; k < nbins; k++){ | |
1057 | fEntriesCurrent += (Int_t)arraye[k]; | |
1058 | //printf("for %d we have %f, %f\n",k,arraye[k],((projprftree->GetEX())[k])); | |
1059 | if(arraye[k]>0.0) arrayme[k] = TMath::Sqrt(TMath::Abs(arrayme[k]-arraym[k]*arraym[k])/arraye[k]); | |
1060 | } | |
1061 | if(fEntriesCurrent > 0) fNumberEnt++; | |
3a0f6479 | 1062 | //printf("The number of entries for the group %d is %d\n",idect,fEntriesCurrent); |
1063 | // This detector has not enough statistics or was off | |
1064 | if (fEntriesCurrent <= fMinEntries) { | |
1065 | NotEnoughStatisticPRF(idect); | |
55a288e5 | 1066 | continue; |
55a288e5 | 1067 | } |
55a288e5 | 1068 | // Statistic of the histos fitted |
55a288e5 | 1069 | fNumberFit++; |
1070 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1071 | // Calcul of "real" coef |
3a0f6479 | 1072 | CalculPRFCoefMean(); |
1073 | //Method choosen | |
1074 | switch(fMethod) | |
1075 | { | |
1076 | case 0: FitPRFGausMI(arraye,arraym,arrayme,nbins,lowedge,upedge); break; | |
1077 | case 1: FitTnpRange(arraye,arraym,arrayme,nbg,nbins); break; | |
1078 | default: return kFALSE; | |
1079 | } | |
55a288e5 | 1080 | // Fill the tree if end of a detector or only the pointer to the branch!!! |
3a0f6479 | 1081 | FillInfosFitPRF(idect); |
55a288e5 | 1082 | } // Boucle object |
55a288e5 | 1083 | // Mean Statistics |
1084 | if (fNumberFit > 0) { | |
3a0f6479 | 1085 | 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 | 1086 | } |
1087 | else { | |
1088 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1089 | } | |
3a0f6479 | 1090 | delete fDebugStreamer; |
1091 | fDebugStreamer = 0x0; | |
55a288e5 | 1092 | return kTRUE; |
55a288e5 | 1093 | } |
3a0f6479 | 1094 | //____________Functions fit Online CH2d________________________________________ |
1095 | Bool_t AliTRDCalibraFit::AnalyseLinearFitters(AliTRDCalibraVdriftLinearFit *calivdli) | |
55a288e5 | 1096 | { |
1097 | // | |
3a0f6479 | 1098 | // The linear method |
55a288e5 | 1099 | // |
1100 | ||
55a288e5 | 1101 | fStatisticMean = 0.0; |
1102 | fNumberFit = 0; | |
1103 | fNumberFitSuccess = 0; | |
1104 | fNumberEnt = 0; | |
3a0f6479 | 1105 | if(!InitFitLinearFitter()) return kFALSE; |
55a288e5 | 1106 | |
3a0f6479 | 1107 | |
1108 | for(Int_t idet = 0; idet < 540; idet++){ | |
55a288e5 | 1109 | |
55a288e5 | 1110 | |
3a0f6479 | 1111 | //printf("detector number %d\n",idet); |
55a288e5 | 1112 | |
3a0f6479 | 1113 | // Take the result |
1114 | TVectorD param(2); | |
1115 | TVectorD error(3); | |
1116 | fEntriesCurrent = 0; | |
1117 | fCountDet = idet; | |
1118 | Bool_t here = calivdli->GetParam(idet,¶m); | |
1119 | Bool_t heree = calivdli->GetError(idet,&error); | |
1120 | //printf("here %d and heree %d\n",here, heree); | |
1121 | if(heree) { | |
1122 | fEntriesCurrent = (Int_t) error[2]; | |
55a288e5 | 1123 | fNumberEnt++; |
55a288e5 | 1124 | } |
3a0f6479 | 1125 | //printf("Number of entries %d\n",fEntriesCurrent); |
1126 | // Nothing found or not enough statistic | |
1127 | if((!heree) || (!here) || (fEntriesCurrent <= fMinEntries)) { | |
1128 | NotEnoughStatisticLinearFitter(); | |
1129 | continue; | |
1130 | } | |
1131 | //param.Print(); | |
1132 | //error.Print(); | |
1133 | //Statistics | |
1134 | fNumberFit++; | |
1135 | fStatisticMean += fEntriesCurrent; | |
55a288e5 | 1136 | |
3a0f6479 | 1137 | // Check the fit |
1138 | if((-(param[1])) <= 0.0) { | |
1139 | NotEnoughStatisticLinearFitter(); | |
1140 | continue; | |
1141 | } | |
55a288e5 | 1142 | |
3a0f6479 | 1143 | // CalculDatabaseVdriftandTan |
1144 | CalculVdriftLorentzCoef(); | |
55a288e5 | 1145 | |
3a0f6479 | 1146 | // Statistics |
1147 | fNumberFitSuccess ++; | |
55a288e5 | 1148 | |
3a0f6479 | 1149 | // Put the fCurrentCoef |
1150 | fCurrentCoef[0] = -param[1]; | |
1151 | // here the database must be the one of the reconstruction for the lorentz angle.... | |
1152 | fCurrentCoef2[0] = (param[0]+fCurrentCoef[1]*fCurrentCoef2[1])/fCurrentCoef[0]; | |
1153 | fCurrentCoefE = error[1]; | |
1154 | fCurrentCoefE2 = error[0]; | |
daa7dc79 | 1155 | if((TMath::Abs(fCurrentCoef2[0]) > 0.0000001) && (TMath::Abs(param[0]) > 0.0000001)){ |
3a0f6479 | 1156 | fCurrentCoefE2 = (fCurrentCoefE2/param[0]+fCurrentCoefE/fCurrentCoef[0])*fCurrentCoef2[0]; |
1157 | } | |
55a288e5 | 1158 | |
3a0f6479 | 1159 | // Fill |
1160 | FillInfosFitLinearFitter(); | |
55a288e5 | 1161 | |
55a288e5 | 1162 | |
55a288e5 | 1163 | } |
55a288e5 | 1164 | // Mean Statistics |
1165 | if (fNumberFit > 0) { | |
3a0f6479 | 1166 | 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 | 1167 | } |
1168 | else { | |
1169 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1170 | } | |
3a0f6479 | 1171 | delete fDebugStreamer; |
1172 | fDebugStreamer = 0x0; | |
55a288e5 | 1173 | return kTRUE; |
1174 | ||
1175 | } | |
55a288e5 | 1176 | //____________Functions for seeing if the pad is really okey___________________ |
3a0f6479 | 1177 | //_____________________________________________________________________________ |
4c865c34 | 1178 | Int_t AliTRDCalibraFit::GetNumberOfGroupsPRF(TString nametitle) |
3a0f6479 | 1179 | { |
1180 | // | |
1181 | // Get numberofgroupsprf | |
1182 | // | |
1183 | ||
1184 | // Some patterns | |
1185 | const Char_t *pattern0 = "Ngp0"; | |
1186 | const Char_t *pattern1 = "Ngp1"; | |
1187 | const Char_t *pattern2 = "Ngp2"; | |
1188 | const Char_t *pattern3 = "Ngp3"; | |
1189 | const Char_t *pattern4 = "Ngp4"; | |
1190 | const Char_t *pattern5 = "Ngp5"; | |
1191 | const Char_t *pattern6 = "Ngp6"; | |
1192 | ||
1193 | // Nrphi mode | |
4c865c34 | 1194 | if (strstr(nametitle.Data(),pattern0)) { |
3a0f6479 | 1195 | return 0; |
1196 | } | |
4c865c34 | 1197 | if (strstr(nametitle.Data(),pattern1)) { |
3a0f6479 | 1198 | return 1; |
1199 | } | |
4c865c34 | 1200 | if (strstr(nametitle.Data(),pattern2)) { |
3a0f6479 | 1201 | return 2; |
1202 | } | |
4c865c34 | 1203 | if (strstr(nametitle.Data(),pattern3)) { |
3a0f6479 | 1204 | return 3; |
1205 | } | |
4c865c34 | 1206 | if (strstr(nametitle.Data(),pattern4)) { |
3a0f6479 | 1207 | return 4; |
1208 | } | |
4c865c34 | 1209 | if (strstr(nametitle.Data(),pattern5)) { |
3a0f6479 | 1210 | return 5; |
1211 | } | |
4c865c34 | 1212 | if (strstr(nametitle.Data(),pattern6)){ |
3a0f6479 | 1213 | return 6; |
1214 | } | |
1215 | else return -1; | |
1216 | ||
55a288e5 | 1217 | |
3a0f6479 | 1218 | } |
55a288e5 | 1219 | //_____________________________________________________________________________ |
4c865c34 | 1220 | Bool_t AliTRDCalibraFit::SetModeCalibration(TString name, Int_t i) |
55a288e5 | 1221 | { |
1222 | // | |
1223 | // Set fNz[i] and fNrphi[i] of the AliTRDCalibraFit::Instance() | |
3a0f6479 | 1224 | // corresponding to the given name |
55a288e5 | 1225 | // |
1226 | ||
3a0f6479 | 1227 | if(!SetNzFromTObject(name,i)) return kFALSE; |
1228 | if(!SetNrphiFromTObject(name,i)) return kFALSE; | |
1229 | ||
1230 | return kTRUE; | |
55a288e5 | 1231 | |
3a0f6479 | 1232 | } |
1233 | //_____________________________________________________________________________ | |
4c865c34 | 1234 | Bool_t AliTRDCalibraFit::SetNrphiFromTObject(TString name, Int_t i) |
3a0f6479 | 1235 | { |
1236 | // | |
1237 | // Set fNrphi[i] of the AliTRDCalibraFit::Instance() | |
1238 | // corresponding to the given TObject | |
1239 | // | |
1240 | ||
55a288e5 | 1241 | // Some patterns |
55a288e5 | 1242 | const Char_t *patternrphi0 = "Nrphi0"; |
1243 | const Char_t *patternrphi1 = "Nrphi1"; | |
1244 | const Char_t *patternrphi2 = "Nrphi2"; | |
1245 | const Char_t *patternrphi3 = "Nrphi3"; | |
1246 | const Char_t *patternrphi4 = "Nrphi4"; | |
1247 | const Char_t *patternrphi5 = "Nrphi5"; | |
1248 | const Char_t *patternrphi6 = "Nrphi6"; | |
1249 | ||
64942b85 | 1250 | |
1251 | const Char_t *patternrphi10 = "Nrphi10"; | |
1252 | const Char_t *patternrphi100 = "Nrphi100"; | |
1253 | const Char_t *patternz10 = "Nz10"; | |
1254 | const Char_t *patternz100 = "Nz100"; | |
1255 | ||
55a288e5 | 1256 | // Nrphi mode |
4c865c34 | 1257 | if ((strstr(name.Data(),patternrphi100)) && (strstr(name.Data(),patternz100))) { |
64942b85 | 1258 | fCalibraMode->SetAllTogether(i); |
1259 | fNbDet = 540; | |
1260 | if (fDebugLevel > 1) { | |
1261 | AliInfo(Form("fNbDet %d and 100",fNbDet)); | |
1262 | } | |
1263 | return kTRUE; | |
1264 | } | |
4c865c34 | 1265 | if ((strstr(name.Data(),patternrphi10)) && (strstr(name.Data(),patternz10))) { |
64942b85 | 1266 | fCalibraMode->SetPerSuperModule(i); |
1267 | fNbDet = 30; | |
1268 | if (fDebugLevel > 1) { | |
1269 | AliInfo(Form("fNDet %d and 100",fNbDet)); | |
1270 | } | |
1271 | return kTRUE; | |
1272 | } | |
1273 | ||
4c865c34 | 1274 | if (strstr(name.Data(),patternrphi0)) { |
55a288e5 | 1275 | fCalibraMode->SetNrphi(i ,0); |
64942b85 | 1276 | if (fDebugLevel > 1) { |
1277 | AliInfo(Form("fNbDet %d and 0",fNbDet)); | |
1278 | } | |
3a0f6479 | 1279 | return kTRUE; |
55a288e5 | 1280 | } |
4c865c34 | 1281 | if (strstr(name.Data(),patternrphi1)) { |
55a288e5 | 1282 | fCalibraMode->SetNrphi(i, 1); |
64942b85 | 1283 | if (fDebugLevel > 1) { |
1284 | AliInfo(Form("fNbDet %d and 1",fNbDet)); | |
1285 | } | |
3a0f6479 | 1286 | return kTRUE; |
55a288e5 | 1287 | } |
4c865c34 | 1288 | if (strstr(name.Data(),patternrphi2)) { |
55a288e5 | 1289 | fCalibraMode->SetNrphi(i, 2); |
64942b85 | 1290 | if (fDebugLevel > 1) { |
1291 | AliInfo(Form("fNbDet %d and 2",fNbDet)); | |
1292 | } | |
3a0f6479 | 1293 | return kTRUE; |
55a288e5 | 1294 | } |
4c865c34 | 1295 | if (strstr(name.Data(),patternrphi3)) { |
55a288e5 | 1296 | fCalibraMode->SetNrphi(i, 3); |
64942b85 | 1297 | if (fDebugLevel > 1) { |
1298 | AliInfo(Form("fNbDet %d and 3",fNbDet)); | |
1299 | } | |
3a0f6479 | 1300 | return kTRUE; |
55a288e5 | 1301 | } |
4c865c34 | 1302 | if (strstr(name.Data(),patternrphi4)) { |
55a288e5 | 1303 | fCalibraMode->SetNrphi(i, 4); |
64942b85 | 1304 | if (fDebugLevel > 1) { |
1305 | AliInfo(Form("fNbDet %d and 4",fNbDet)); | |
1306 | } | |
3a0f6479 | 1307 | return kTRUE; |
55a288e5 | 1308 | } |
4c865c34 | 1309 | if (strstr(name.Data(),patternrphi5)) { |
55a288e5 | 1310 | fCalibraMode->SetNrphi(i, 5); |
64942b85 | 1311 | if (fDebugLevel > 1) { |
1312 | AliInfo(Form("fNbDet %d and 5",fNbDet)); | |
1313 | } | |
3a0f6479 | 1314 | return kTRUE; |
55a288e5 | 1315 | } |
4c865c34 | 1316 | if (strstr(name.Data(),patternrphi6)) { |
55a288e5 | 1317 | fCalibraMode->SetNrphi(i, 6); |
64942b85 | 1318 | if (fDebugLevel > 1) { |
1319 | AliInfo(Form("fNbDet %d and 6",fNbDet)); | |
1320 | } | |
55a288e5 | 1321 | return kTRUE; |
1322 | } | |
55a288e5 | 1323 | |
64942b85 | 1324 | if (fDebugLevel > 1) { |
1325 | AliInfo(Form("fNbDet %d and rest",fNbDet)); | |
1326 | } | |
3a0f6479 | 1327 | fCalibraMode->SetNrphi(i ,0); |
1328 | return kFALSE; | |
64942b85 | 1329 | |
55a288e5 | 1330 | } |
55a288e5 | 1331 | //_____________________________________________________________________________ |
4c865c34 | 1332 | Bool_t AliTRDCalibraFit::SetNzFromTObject(TString name, Int_t i) |
55a288e5 | 1333 | { |
1334 | // | |
3a0f6479 | 1335 | // Set fNz[i] of the AliTRDCalibraFit::Instance() |
1336 | // corresponding to the given TObject | |
55a288e5 | 1337 | // |
3a0f6479 | 1338 | |
1339 | // Some patterns | |
1340 | const Char_t *patternz0 = "Nz0"; | |
1341 | const Char_t *patternz1 = "Nz1"; | |
1342 | const Char_t *patternz2 = "Nz2"; | |
1343 | const Char_t *patternz3 = "Nz3"; | |
1344 | const Char_t *patternz4 = "Nz4"; | |
64942b85 | 1345 | |
1346 | const Char_t *patternrphi10 = "Nrphi10"; | |
1347 | const Char_t *patternrphi100 = "Nrphi100"; | |
1348 | const Char_t *patternz10 = "Nz10"; | |
1349 | const Char_t *patternz100 = "Nz100"; | |
1350 | ||
4c865c34 | 1351 | if ((strstr(name.Data(),patternrphi100)) && (strstr(name.Data(),patternz100))) { |
64942b85 | 1352 | fCalibraMode->SetAllTogether(i); |
1353 | fNbDet = 540; | |
1354 | if (fDebugLevel > 1) { | |
1355 | AliInfo(Form("fNbDet %d and 100",fNbDet)); | |
1356 | } | |
1357 | return kTRUE; | |
1358 | } | |
4c865c34 | 1359 | if ((strstr(name.Data(),patternrphi10)) && (strstr(name.Data(),patternz10))) { |
64942b85 | 1360 | fCalibraMode->SetPerSuperModule(i); |
1361 | fNbDet = 30; | |
1362 | if (fDebugLevel > 1) { | |
1363 | AliInfo(Form("fNbDet %d and 10",fNbDet)); | |
1364 | } | |
1365 | return kTRUE; | |
1366 | } | |
4c865c34 | 1367 | if (strstr(name.Data(),patternz0)) { |
3a0f6479 | 1368 | fCalibraMode->SetNz(i, 0); |
64942b85 | 1369 | if (fDebugLevel > 1) { |
1370 | AliInfo(Form("fNbDet %d and 0",fNbDet)); | |
1371 | } | |
3a0f6479 | 1372 | return kTRUE; |
55a288e5 | 1373 | } |
4c865c34 | 1374 | if (strstr(name.Data(),patternz1)) { |
3a0f6479 | 1375 | fCalibraMode->SetNz(i ,1); |
64942b85 | 1376 | if (fDebugLevel > 1) { |
1377 | AliInfo(Form("fNbDet %d and 1",fNbDet)); | |
1378 | } | |
3a0f6479 | 1379 | return kTRUE; |
55a288e5 | 1380 | } |
4c865c34 | 1381 | if (strstr(name.Data(),patternz2)) { |
3a0f6479 | 1382 | fCalibraMode->SetNz(i ,2); |
64942b85 | 1383 | if (fDebugLevel > 1) { |
1384 | AliInfo(Form("fNbDet %d and 2",fNbDet)); | |
1385 | } | |
3a0f6479 | 1386 | return kTRUE; |
55a288e5 | 1387 | } |
4c865c34 | 1388 | if (strstr(name.Data(),patternz3)) { |
3a0f6479 | 1389 | fCalibraMode->SetNz(i ,3); |
64942b85 | 1390 | if (fDebugLevel > 1) { |
1391 | AliInfo(Form("fNbDet %d and 3",fNbDet)); | |
1392 | } | |
3a0f6479 | 1393 | return kTRUE; |
55a288e5 | 1394 | } |
4c865c34 | 1395 | if (strstr(name.Data(),patternz4)) { |
3a0f6479 | 1396 | fCalibraMode->SetNz(i ,4); |
64942b85 | 1397 | if (fDebugLevel > 1) { |
1398 | AliInfo(Form("fNbDet %d and 4",fNbDet)); | |
1399 | } | |
3a0f6479 | 1400 | return kTRUE; |
55a288e5 | 1401 | } |
64942b85 | 1402 | |
1403 | if (fDebugLevel > 1) { | |
1404 | AliInfo(Form("fNbDet %d and rest",fNbDet)); | |
1405 | } | |
3a0f6479 | 1406 | fCalibraMode->SetNz(i ,0); |
1407 | return kFALSE; | |
1408 | } | |
64942b85 | 1409 | //______________________________________________________________________ |
6aafa7ea | 1410 | void AliTRDCalibraFit::RemoveOutliers(Int_t type, Bool_t perdetector){ |
1411 | // | |
1412 | // Remove the results too far from the mean value and rms | |
1413 | // type: 0 gain, 1 vdrift | |
1414 | // perdetector | |
1415 | // | |
1416 | ||
1417 | Int_t loop = (Int_t) fVectorFit.GetEntriesFast(); | |
1418 | if(loop != 540) { | |
1419 | AliInfo("The Vector Fit is not complete!"); | |
1420 | return; | |
1421 | } | |
1422 | Int_t detector = -1; | |
1423 | Int_t sector = -1; | |
1424 | Float_t value = 0.0; | |
1425 | ||
1426 | ///////////////////////////////// | |
1427 | // Calculate the mean values | |
1428 | //////////////////////////////// | |
1429 | // Initialisation | |
1430 | //////////////////////// | |
1431 | Double_t meanAll = 0.0; | |
1432 | Double_t rmsAll = 0.0; | |
1433 | Int_t countAll = 0; | |
1434 | //////////// | |
1435 | // compute | |
1436 | //////////// | |
1437 | for (Int_t k = 0; k < loop; k++) { | |
1438 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1439 | sector = GetSector(detector); | |
1440 | if(perdetector){ | |
1441 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[0]; | |
1442 | if(value > 0.0) { | |
1443 | rmsAll += value*value; | |
1444 | meanAll += value; | |
1445 | countAll++; | |
1446 | } | |
1447 | } | |
1448 | else { | |
1449 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1450 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1451 | for (Int_t row = 0; row < rowMax; row++) { | |
1452 | for (Int_t col = 0; col < colMax; col++) { | |
1453 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1454 | if(value > 0.0) { | |
1455 | rmsAll += value*value; | |
1456 | meanAll += value; | |
1457 | countAll++; | |
1458 | } | |
1459 | ||
1460 | } // Col | |
1461 | } // Row | |
1462 | } | |
1463 | } | |
1464 | if(countAll > 0) { | |
1465 | meanAll = meanAll/countAll; | |
1466 | rmsAll = TMath::Sqrt(TMath::Abs(rmsAll/countAll - (meanAll*meanAll))); | |
1467 | } | |
1468 | //printf("RemoveOutliers: meanAll %f and rmsAll %f\n",meanAll,rmsAll); | |
1469 | ///////////////////////////////////////////////// | |
1470 | // Remove outliers | |
1471 | //////////////////////////////////////////////// | |
1472 | Double_t defaultvalue = -1.0; | |
1473 | if(type==1) defaultvalue = -1.5; | |
1474 | for (Int_t k = 0; k < loop; k++) { | |
1475 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1476 | sector = GetSector(detector); | |
1477 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1478 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1479 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
1480 | ||
1481 | // remove the results too far away | |
1482 | for (Int_t row = 0; row < rowMax; row++) { | |
1483 | for (Int_t col = 0; col < colMax; col++) { | |
1484 | value = coef[(Int_t)(col*rowMax+row)]; | |
1485 | if((value > 0.0) && (rmsAll > 0.0) && (TMath::Abs(value-meanAll) > (2*rmsAll))) { | |
1486 | coef[(Int_t)(col*rowMax+row)] = defaultvalue; | |
1487 | } | |
1488 | } // Col | |
1489 | } // Row | |
1490 | } | |
1491 | } | |
1492 | //______________________________________________________________________ | |
1493 | void AliTRDCalibraFit::RemoveOutliers2(Bool_t perdetector){ | |
1494 | // | |
1495 | // Remove the results too far from the mean and rms | |
1496 | // perdetector | |
1497 | // | |
1498 | ||
1499 | Int_t loop = (Int_t) fVectorFit2.GetEntriesFast(); | |
1500 | if(loop != 540) { | |
1501 | AliInfo("The Vector Fit is not complete!"); | |
1502 | return; | |
1503 | } | |
1504 | Int_t detector = -1; | |
1505 | Int_t sector = -1; | |
1506 | Float_t value = 0.0; | |
1507 | ||
1508 | ///////////////////////////////// | |
1509 | // Calculate the mean values | |
1510 | //////////////////////////////// | |
1511 | // Initialisation | |
1512 | //////////////////////// | |
1513 | Double_t meanAll = 0.0; | |
1514 | Double_t rmsAll = 0.0; | |
1515 | Int_t countAll = 0; | |
1516 | ///////////// | |
1517 | // compute | |
1518 | //////////// | |
1519 | for (Int_t k = 0; k < loop; k++) { | |
1520 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1521 | sector = GetSector(detector); | |
1522 | if(perdetector){ | |
1523 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[0]; | |
1524 | if(value < 70.0) { | |
1525 | meanAll += value; | |
1526 | rmsAll += value*value; | |
1527 | countAll++; | |
1528 | } | |
1529 | } | |
1530 | else { | |
1531 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1532 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1533 | for (Int_t row = 0; row < rowMax; row++) { | |
1534 | for (Int_t col = 0; col < colMax; col++) { | |
1535 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1536 | if(value < 70.0) { | |
1537 | rmsAll += value*value; | |
1538 | meanAll += value; | |
1539 | countAll++; | |
1540 | } | |
1541 | } // Col | |
1542 | } // Row | |
1543 | } | |
1544 | } | |
1545 | if(countAll > 0) { | |
1546 | meanAll = meanAll/countAll; | |
1547 | rmsAll = TMath::Sqrt(TMath::Abs(rmsAll/countAll - (meanAll*meanAll))); | |
1548 | } | |
1549 | //printf("Remove outliers 2: meanAll %f, rmsAll %f\n",meanAll,rmsAll); | |
1550 | ///////////////////////////////////////////////// | |
1551 | // Remove outliers | |
1552 | //////////////////////////////////////////////// | |
1553 | for (Int_t k = 0; k < loop; k++) { | |
1554 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1555 | sector = GetSector(detector); | |
1556 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1557 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1558 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef(); | |
1559 | ||
1560 | // remove the results too far away | |
1561 | for (Int_t row = 0; row < rowMax; row++) { | |
1562 | for (Int_t col = 0; col < colMax; col++) { | |
1563 | value = coef[(Int_t)(col*rowMax+row)]; | |
1564 | if((value < 70.0) && (rmsAll > 0.0) && (TMath::Abs(value-meanAll) > (2.5*rmsAll))) coef[(Int_t)(col*rowMax+row)] = 100.0; | |
1565 | } // Col | |
1566 | } // Row | |
1567 | } | |
1568 | } | |
1569 | //______________________________________________________________________ | |
64942b85 | 1570 | void AliTRDCalibraFit::PutMeanValueOtherVectorFit(Int_t ofwhat, Bool_t perdetector){ |
1571 | // | |
1572 | // ofwhat is equaled to 0: mean value of all passing detectors | |
1573 | // ofwhat is equaled to 1: mean value of the detector, otherwise supermodule, otherwise all | |
1574 | // | |
1575 | ||
1576 | Int_t loop = (Int_t) fVectorFit.GetEntriesFast(); | |
1577 | if(loop != 540) { | |
1578 | AliInfo("The Vector Fit is not complete!"); | |
1579 | return; | |
1580 | } | |
1581 | Int_t detector = -1; | |
1582 | Int_t sector = -1; | |
1583 | Float_t value = 0.0; | |
1584 | ||
1585 | ///////////////////////////////// | |
1586 | // Calculate the mean values | |
1587 | //////////////////////////////// | |
1588 | // Initialisation | |
1589 | //////////////////////// | |
1590 | Double_t meanAll = 0.0; | |
1591 | Double_t meanSupermodule[18]; | |
1592 | Double_t meanDetector[540]; | |
6aafa7ea | 1593 | Double_t rmsAll = 0.0; |
1594 | Double_t rmsSupermodule[18]; | |
1595 | Double_t rmsDetector[540]; | |
64942b85 | 1596 | Int_t countAll = 0; |
1597 | Int_t countSupermodule[18]; | |
1598 | Int_t countDetector[540]; | |
1599 | for(Int_t sm = 0; sm < 18; sm++){ | |
6aafa7ea | 1600 | rmsSupermodule[sm] = 0.0; |
64942b85 | 1601 | meanSupermodule[sm] = 0.0; |
1602 | countSupermodule[sm] = 0; | |
1603 | } | |
1604 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1605 | rmsDetector[det] = 0.0; |
64942b85 | 1606 | meanDetector[det] = 0.0; |
1607 | countDetector[det] = 0; | |
1608 | } | |
6aafa7ea | 1609 | //////////// |
64942b85 | 1610 | // compute |
1611 | //////////// | |
1612 | for (Int_t k = 0; k < loop; k++) { | |
1613 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1614 | sector = GetSector(detector); | |
1615 | if(perdetector){ | |
1616 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[0]; | |
1617 | if(value > 0.0) { | |
6aafa7ea | 1618 | rmsDetector[detector] += value*value; |
64942b85 | 1619 | meanDetector[detector] += value; |
1620 | countDetector[detector]++; | |
6aafa7ea | 1621 | rmsSupermodule[sector] += value*value; |
64942b85 | 1622 | meanSupermodule[sector] += value; |
1623 | countSupermodule[sector]++; | |
6aafa7ea | 1624 | rmsAll += value*value; |
64942b85 | 1625 | meanAll += value; |
1626 | countAll++; | |
1627 | } | |
1628 | } | |
1629 | else { | |
1630 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1631 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1632 | for (Int_t row = 0; row < rowMax; row++) { | |
1633 | for (Int_t col = 0; col < colMax; col++) { | |
1634 | value = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1635 | if(value > 0.0) { | |
6aafa7ea | 1636 | rmsDetector[detector] += value*value; |
64942b85 | 1637 | meanDetector[detector] += value; |
1638 | countDetector[detector]++; | |
6aafa7ea | 1639 | rmsSupermodule[sector] += value*value; |
64942b85 | 1640 | meanSupermodule[sector] += value; |
1641 | countSupermodule[sector]++; | |
6aafa7ea | 1642 | rmsAll += value*value; |
64942b85 | 1643 | meanAll += value; |
1644 | countAll++; | |
1645 | } | |
1646 | ||
1647 | } // Col | |
1648 | } // Row | |
1649 | } | |
1650 | } | |
6aafa7ea | 1651 | if(countAll > 0) { |
1652 | meanAll = meanAll/countAll; | |
1653 | rmsAll = TMath::Abs(rmsAll/countAll - (meanAll*meanAll)); | |
1654 | } | |
64942b85 | 1655 | for(Int_t sm = 0; sm < 18; sm++){ |
6aafa7ea | 1656 | if(countSupermodule[sm] > 0) { |
1657 | meanSupermodule[sm] = meanSupermodule[sm]/countSupermodule[sm]; | |
1658 | rmsSupermodule[sm] = TMath::Abs(rmsSupermodule[sm]/countSupermodule[sm] - (meanSupermodule[sm]*meanSupermodule[sm])); | |
1659 | } | |
64942b85 | 1660 | } |
1661 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1662 | if(countDetector[det] > 0) { |
1663 | meanDetector[det] = meanDetector[det]/countDetector[det]; | |
1664 | rmsDetector[det] = TMath::Abs(rmsDetector[det]/countDetector[det] - (meanDetector[det]*meanDetector[det])); | |
1665 | } | |
64942b85 | 1666 | } |
6aafa7ea | 1667 | //printf("Put mean value, meanAll %f, rmsAll %f\n",meanAll,rmsAll); |
1668 | /////////////////////////////////////////////// | |
64942b85 | 1669 | // Put the mean value for the no-fitted |
1670 | ///////////////////////////////////////////// | |
1671 | for (Int_t k = 0; k < loop; k++) { | |
1672 | detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); | |
1673 | sector = GetSector(detector); | |
1674 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1675 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1676 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
1677 | ||
1678 | for (Int_t row = 0; row < rowMax; row++) { | |
1679 | for (Int_t col = 0; col < colMax; col++) { | |
1680 | value = coef[(Int_t)(col*rowMax+row)]; | |
1681 | if(value < 0.0) { | |
6aafa7ea | 1682 | if((ofwhat == 0) && (meanAll > 0.0) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanAll); |
64942b85 | 1683 | if(ofwhat == 1){ |
6aafa7ea | 1684 | if((meanDetector[detector] > 0.0) && (countDetector[detector] > 20)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanDetector[detector]); |
1685 | else if((meanSupermodule[sector] > 0.0) && (countSupermodule[sector] > 15)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanSupermodule[sector]); | |
1686 | else if((meanAll > 0.0) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = -TMath::Abs(meanAll); | |
64942b85 | 1687 | } |
1688 | } | |
1689 | // Debug | |
1690 | if(fDebugLevel > 1){ | |
1691 | ||
1692 | if ( !fDebugStreamer ) { | |
1693 | //debug stream | |
1694 | TDirectory *backup = gDirectory; | |
1695 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
1696 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
1697 | } | |
1698 | ||
1699 | Float_t coefnow = coef[(Int_t)(col*rowMax+row)]; | |
1700 | ||
1701 | (* fDebugStreamer) << "PutMeanValueOtherVectorFit"<< | |
1702 | "detector="<<detector<< | |
1703 | "sector="<<sector<< | |
1704 | "row="<<row<< | |
1705 | "col="<<col<< | |
1706 | "before="<<value<< | |
1707 | "after="<<coefnow<< | |
1708 | "\n"; | |
1709 | } | |
1710 | } // Col | |
1711 | } // Row | |
1712 | } | |
64942b85 | 1713 | } |
1714 | //______________________________________________________________________ | |
1715 | void AliTRDCalibraFit::PutMeanValueOtherVectorFit2(Int_t ofwhat, Bool_t perdetector){ | |
1716 | // | |
1717 | // ofwhat is equaled to 0: mean value of all passing detectors | |
1718 | // ofwhat is equaled to 1: mean value of the detector, otherwise supermodule, otherwise all | |
1719 | // | |
1720 | ||
1721 | Int_t loop = (Int_t) fVectorFit2.GetEntriesFast(); | |
1722 | if(loop != 540) { | |
1723 | AliInfo("The Vector Fit is not complete!"); | |
1724 | return; | |
1725 | } | |
1726 | Int_t detector = -1; | |
1727 | Int_t sector = -1; | |
1728 | Float_t value = 0.0; | |
1729 | ||
1730 | ///////////////////////////////// | |
1731 | // Calculate the mean values | |
1732 | //////////////////////////////// | |
1733 | // Initialisation | |
1734 | //////////////////////// | |
1735 | Double_t meanAll = 0.0; | |
6aafa7ea | 1736 | Double_t rmsAll = 0.0; |
64942b85 | 1737 | Double_t meanSupermodule[18]; |
6aafa7ea | 1738 | Double_t rmsSupermodule[18]; |
64942b85 | 1739 | Double_t meanDetector[540]; |
6aafa7ea | 1740 | Double_t rmsDetector[540]; |
64942b85 | 1741 | Int_t countAll = 0; |
1742 | Int_t countSupermodule[18]; | |
1743 | Int_t countDetector[540]; | |
1744 | for(Int_t sm = 0; sm < 18; sm++){ | |
6aafa7ea | 1745 | rmsSupermodule[sm] = 0.0; |
64942b85 | 1746 | meanSupermodule[sm] = 0.0; |
1747 | countSupermodule[sm] = 0; | |
1748 | } | |
1749 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1750 | rmsDetector[det] = 0.0; |
64942b85 | 1751 | meanDetector[det] = 0.0; |
1752 | countDetector[det] = 0; | |
1753 | } | |
1754 | // compute | |
1755 | //////////// | |
1756 | for (Int_t k = 0; k < loop; k++) { | |
1757 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1758 | sector = GetSector(detector); | |
1759 | if(perdetector){ | |
1760 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[0]; | |
1761 | if(value < 70.0) { | |
6aafa7ea | 1762 | rmsDetector[detector] += value*value; |
64942b85 | 1763 | meanDetector[detector] += value; |
1764 | countDetector[detector]++; | |
6aafa7ea | 1765 | rmsSupermodule[sector] += value*value; |
64942b85 | 1766 | meanSupermodule[sector] += value; |
1767 | countSupermodule[sector]++; | |
1768 | meanAll += value; | |
6aafa7ea | 1769 | rmsAll += value*value; |
64942b85 | 1770 | countAll++; |
1771 | } | |
1772 | } | |
1773 | else { | |
1774 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1775 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1776 | for (Int_t row = 0; row < rowMax; row++) { | |
1777 | for (Int_t col = 0; col < colMax; col++) { | |
1778 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1779 | if(value < 70.0) { | |
6aafa7ea | 1780 | rmsDetector[detector] += value*value; |
64942b85 | 1781 | meanDetector[detector] += value; |
1782 | countDetector[detector]++; | |
6aafa7ea | 1783 | rmsSupermodule[sector] += value*value; |
64942b85 | 1784 | meanSupermodule[sector] += value; |
1785 | countSupermodule[sector]++; | |
6aafa7ea | 1786 | rmsAll += value*value; |
64942b85 | 1787 | meanAll += value; |
1788 | countAll++; | |
1789 | } | |
1790 | ||
1791 | } // Col | |
1792 | } // Row | |
1793 | } | |
1794 | } | |
6aafa7ea | 1795 | if(countAll > 0) { |
1796 | meanAll = meanAll/countAll; | |
1797 | rmsAll = TMath::Abs(rmsAll/countAll - (meanAll*meanAll)); | |
1798 | } | |
64942b85 | 1799 | for(Int_t sm = 0; sm < 18; sm++){ |
6aafa7ea | 1800 | if(countSupermodule[sm] > 0) { |
1801 | meanSupermodule[sm] = meanSupermodule[sm]/countSupermodule[sm]; | |
1802 | rmsSupermodule[sm] = TMath::Abs(rmsSupermodule[sm]/countSupermodule[sm] - (meanSupermodule[sm]*meanSupermodule[sm])); | |
1803 | } | |
64942b85 | 1804 | } |
1805 | for(Int_t det = 0; det < 540; det++){ | |
6aafa7ea | 1806 | if(countDetector[det] > 0) { |
1807 | meanDetector[det] = meanDetector[det]/countDetector[det]; | |
1808 | rmsDetector[det] = TMath::Abs(rmsDetector[det]/countDetector[det] - (meanDetector[det]*meanDetector[det])); | |
1809 | } | |
64942b85 | 1810 | } |
6aafa7ea | 1811 | //printf("Put mean value 2: meanAll %f, rmsAll %f\n",meanAll,rmsAll); |
1812 | //////////////////////////////////////////// | |
64942b85 | 1813 | // Put the mean value for the no-fitted |
1814 | ///////////////////////////////////////////// | |
1815 | for (Int_t k = 0; k < loop; k++) { | |
1816 | detector = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetDetector(); | |
1817 | sector = GetSector(detector); | |
1818 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); | |
1819 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
1820 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef(); | |
1821 | ||
1822 | for (Int_t row = 0; row < rowMax; row++) { | |
1823 | for (Int_t col = 0; col < colMax; col++) { | |
1824 | value = coef[(Int_t)(col*rowMax+row)]; | |
1825 | if(value > 70.0) { | |
6aafa7ea | 1826 | if((ofwhat == 0) && (meanAll > -1.5) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = meanAll+100.0; |
64942b85 | 1827 | if(ofwhat == 1){ |
6aafa7ea | 1828 | if((meanDetector[detector] > -1.5) && (countDetector[detector] > 20)) coef[(Int_t)(col*rowMax+row)] = meanDetector[detector]+100.0; |
1829 | else if((meanSupermodule[sector] > -1.5) && (countSupermodule[sector] > 15)) coef[(Int_t)(col*rowMax+row)] = meanSupermodule[sector]+100.0; | |
1830 | else if((meanAll > -1.5) && (countAll > 15)) coef[(Int_t)(col*rowMax+row)] = meanAll+100.0; | |
64942b85 | 1831 | } |
1832 | } | |
1833 | // Debug | |
1834 | if(fDebugLevel > 1){ | |
1835 | ||
1836 | if ( !fDebugStreamer ) { | |
1837 | //debug stream | |
1838 | TDirectory *backup = gDirectory; | |
1839 | fDebugStreamer = new TTreeSRedirector("TRDDebugFit.root"); | |
1840 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
1841 | } | |
1842 | ||
1843 | Float_t coefnow = coef[(Int_t)(col*rowMax+row)]; | |
1844 | ||
1845 | (* fDebugStreamer) << "PutMeanValueOtherVectorFit2"<< | |
1846 | "detector="<<detector<< | |
1847 | "sector="<<sector<< | |
1848 | "row="<<row<< | |
1849 | "col="<<col<< | |
1850 | "before="<<value<< | |
1851 | "after="<<coefnow<< | |
1852 | "\n"; | |
1853 | } | |
1854 | } // Col | |
1855 | } // Row | |
1856 | } | |
1857 | ||
1858 | } | |
3a0f6479 | 1859 | //_____________________________________________________________________________ |
979b168f | 1860 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectVdrift(const TObjArray *vectorFit, Bool_t perdetector) |
3a0f6479 | 1861 | { |
1862 | // | |
1863 | // It creates the AliTRDCalDet object from the AliTRDFitInfo | |
1864 | // It takes the mean value of the coefficients per detector | |
1865 | // This object has to be written in the database | |
1866 | // | |
55a288e5 | 1867 | |
3a0f6479 | 1868 | // Create the DetObject |
1869 | AliTRDCalDet *object = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
1870 | ||
1871 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1872 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1873 | Int_t detector = -1; | |
1874 | Float_t value = 0.0; | |
64942b85 | 1875 | |
1876 | // | |
3a0f6479 | 1877 | for (Int_t k = 0; k < loop; k++) { |
1878 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1879 | Float_t mean = 0.0; | |
1880 | if(perdetector){ | |
1881 | mean = TMath::Abs(((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]); | |
55a288e5 | 1882 | } |
1883 | else { | |
3a0f6479 | 1884 | Int_t count = 0; |
053767a4 | 1885 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
1886 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 1887 | for (Int_t row = 0; row < rowMax; row++) { |
1888 | for (Int_t col = 0; col < colMax; col++) { | |
1889 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
1890 | mean += TMath::Abs(value); | |
1891 | count++; | |
1892 | } // Col | |
1893 | } // Row | |
1894 | if(count > 0) mean = mean/count; | |
55a288e5 | 1895 | } |
1896 | object->SetValue(detector,mean); | |
1897 | } | |
3a0f6479 | 1898 | |
55a288e5 | 1899 | return object; |
55a288e5 | 1900 | } |
55a288e5 | 1901 | //_____________________________________________________________________________ |
979b168f | 1902 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectGain(const TObjArray *vectorFit, Bool_t meanOtherBefore, Double_t scaleFitFactor, Bool_t perdetector) |
55a288e5 | 1903 | { |
1904 | // | |
3a0f6479 | 1905 | // It creates the AliTRDCalDet object from the AliTRDFitInfo |
1906 | // It takes the mean value of the coefficients per detector | |
55a288e5 | 1907 | // This object has to be written in the database |
1908 | // | |
1909 | ||
1910 | // Create the DetObject | |
3a0f6479 | 1911 | AliTRDCalDet *object = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); |
55a288e5 | 1912 | |
3a0f6479 | 1913 | |
1914 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
1915 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1916 | Int_t detector = -1; | |
1917 | Float_t value = 0.0; | |
1918 | ||
1919 | for (Int_t k = 0; k < loop; k++) { | |
1920 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1921 | Float_t mean = 0.0; | |
1922 | if(perdetector){ | |
1923 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
64942b85 | 1924 | if(!meanOtherBefore){ |
1925 | if(value > 0) value = value*scaleFitFactor; | |
1926 | } | |
1927 | else value = value*scaleFitFactor; | |
3a0f6479 | 1928 | mean = TMath::Abs(value); |
1929 | } | |
1930 | else{ | |
1931 | Int_t count = 0; | |
053767a4 | 1932 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
1933 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 1934 | for (Int_t row = 0; row < rowMax; row++) { |
1935 | for (Int_t col = 0; col < colMax; col++) { | |
1936 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 1937 | if(!meanOtherBefore) { |
1938 | if(value > 0) value = value*scaleFitFactor; | |
1939 | } | |
1940 | else value = value*scaleFitFactor; | |
3a0f6479 | 1941 | mean += TMath::Abs(value); |
1942 | count++; | |
1943 | } // Col | |
1944 | } // Row | |
1945 | if(count > 0) mean = mean/count; | |
1946 | } | |
1947 | object->SetValue(detector,mean); | |
55a288e5 | 1948 | } |
3a0f6479 | 1949 | |
1950 | return object; | |
1951 | } | |
1952 | //_____________________________________________________________________________ | |
979b168f | 1953 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectT0(const TObjArray *vectorFit, Bool_t perdetector) |
3a0f6479 | 1954 | { |
1955 | // | |
1956 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 | |
1957 | // It takes the min value of the coefficients per detector | |
1958 | // This object has to be written in the database | |
1959 | // | |
55a288e5 | 1960 | |
3a0f6479 | 1961 | // Create the DetObject |
1962 | AliTRDCalDet *object = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
55a288e5 | 1963 | |
3a0f6479 | 1964 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); |
1965 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
1966 | Int_t detector = -1; | |
1967 | Float_t value = 0.0; | |
1968 | ||
1969 | for (Int_t k = 0; k < loop; k++) { | |
1970 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
1971 | Float_t min = 100.0; | |
1972 | if(perdetector){ | |
64942b85 | 1973 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; |
1974 | // check successful | |
1975 | if(value > 70.0) value = value-100.0; | |
1976 | // | |
1977 | min = value; | |
55a288e5 | 1978 | } |
3a0f6479 | 1979 | else{ |
053767a4 | 1980 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
1981 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 1982 | for (Int_t row = 0; row < rowMax; row++) { |
1983 | for (Int_t col = 0; col < colMax; col++) { | |
1984 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 1985 | // check successful |
1986 | if(value > 70.0) value = value-100.0; | |
1987 | // | |
3a0f6479 | 1988 | if(min > value) min = value; |
1989 | } // Col | |
1990 | } // Row | |
1991 | } | |
1992 | object->SetValue(detector,min); | |
55a288e5 | 1993 | } |
1994 | ||
1995 | return object; | |
1996 | ||
1997 | } | |
55a288e5 | 1998 | //_____________________________________________________________________________ |
979b168f | 1999 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectLorentzAngle(const TObjArray *vectorFit) |
55a288e5 | 2000 | { |
2001 | // | |
3a0f6479 | 2002 | // It creates the AliTRDCalDet object from the AliTRDFitInfo2 |
2003 | // It takes the min value of the coefficients per detector | |
55a288e5 | 2004 | // This object has to be written in the database |
2005 | // | |
2006 | ||
2007 | // Create the DetObject | |
3a0f6479 | 2008 | AliTRDCalDet *object = new AliTRDCalDet("tan(lorentzangle)","tan(lorentzangle) (detector value)"); |
2009 | ||
2010 | ||
2011 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2012 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2013 | Int_t detector = -1; | |
2014 | Float_t value = 0.0; | |
55a288e5 | 2015 | |
3a0f6479 | 2016 | for (Int_t k = 0; k < loop; k++) { |
2017 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2018 | /* | |
053767a4 | 2019 | Int_t rowMax = fGeo->GetRowMax(GetLayer(detector),GetStack(detector),GetSector(detector)); |
2020 | Int_t colMax = fGeo->GetColMax(GetLayer(detector)); | |
3a0f6479 | 2021 | Float_t min = 100.0; |
2022 | for (Int_t row = 0; row < rowMax; row++) { | |
2023 | for (Int_t col = 0; col < colMax; col++) { | |
2024 | value = ((AliTRDFitInfo *) fVectorFit2.At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2025 | mean += -TMath::Abs(value); | |
2026 | count++; | |
55a288e5 | 2027 | } // Col |
3a0f6479 | 2028 | } // Row |
2029 | if(count > 0) mean = mean/count; | |
2030 | */ | |
2031 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
2032 | object->SetValue(detector,-TMath::Abs(value)); | |
55a288e5 | 2033 | } |
2034 | ||
2035 | return object; | |
3a0f6479 | 2036 | |
55a288e5 | 2037 | } |
55a288e5 | 2038 | //_____________________________________________________________________________ |
979b168f | 2039 | TObject *AliTRDCalibraFit::CreatePadObjectGain(const TObjArray *vectorFit, Double_t scaleFitFactor, const AliTRDCalDet *detobject) |
3a0f6479 | 2040 | { |
55a288e5 | 2041 | // |
3a0f6479 | 2042 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
2043 | // You need first to create the object for the detectors, | |
2044 | // where the mean value is put. | |
2045 | // This object has to be written in the database | |
55a288e5 | 2046 | // |
3a0f6479 | 2047 | |
2048 | // Create the DetObject | |
2049 | AliTRDCalPad *object = new AliTRDCalPad("GainFactor","GainFactor (local variations)"); | |
2050 | ||
2051 | if(!vectorFit){ | |
2052 | for(Int_t k = 0; k < 540; k++){ | |
2053 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2054 | Int_t nchannels = calROC->GetNchannels(); | |
2055 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2056 | calROC->SetValue(ch,1.0); | |
2057 | } | |
2058 | } | |
55a288e5 | 2059 | } |
3a0f6479 | 2060 | else{ |
2061 | ||
2062 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2063 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2064 | Int_t detector = -1; | |
2065 | Float_t value = 0.0; | |
2066 | ||
2067 | for (Int_t k = 0; k < loop; k++) { | |
2068 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2069 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2070 | Float_t mean = detobject->GetValue(detector); | |
daa7dc79 | 2071 | if(TMath::Abs(mean) <= 0.0000000001) continue; |
3a0f6479 | 2072 | Int_t rowMax = calROC->GetNrows(); |
2073 | Int_t colMax = calROC->GetNcols(); | |
2074 | for (Int_t row = 0; row < rowMax; row++) { | |
2075 | for (Int_t col = 0; col < colMax; col++) { | |
2076 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2077 | if(value > 0) value = value*scaleFitFactor; | |
2078 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
2079 | } // Col | |
2080 | } // Row | |
2081 | } | |
55a288e5 | 2082 | } |
2083 | ||
3a0f6479 | 2084 | return object; |
55a288e5 | 2085 | } |
55a288e5 | 2086 | //_____________________________________________________________________________ |
979b168f | 2087 | TObject *AliTRDCalibraFit::CreatePadObjectVdrift(const TObjArray *vectorFit, const AliTRDCalDet *detobject) |
3a0f6479 | 2088 | { |
55a288e5 | 2089 | // |
3a0f6479 | 2090 | // It Creates the AliTRDCalPad object from AliTRDFitInfo |
2091 | // You need first to create the object for the detectors, | |
2092 | // where the mean value is put. | |
2093 | // This object has to be written in the database | |
55a288e5 | 2094 | // |
2095 | ||
3a0f6479 | 2096 | // Create the DetObject |
2097 | AliTRDCalPad *object = new AliTRDCalPad("LocalVdrift","TRD drift velocities (local variations)"); | |
2098 | ||
2099 | if(!vectorFit){ | |
2100 | for(Int_t k = 0; k < 540; k++){ | |
2101 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2102 | Int_t nchannels = calROC->GetNchannels(); | |
2103 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2104 | calROC->SetValue(ch,1.0); | |
2105 | } | |
2106 | } | |
55a288e5 | 2107 | } |
2108 | else { | |
3a0f6479 | 2109 | |
2110 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2111 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2112 | Int_t detector = -1; | |
2113 | Float_t value = 0.0; | |
2114 | ||
2115 | for (Int_t k = 0; k < loop; k++) { | |
2116 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2117 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2118 | Float_t mean = detobject->GetValue(detector); | |
2119 | if(mean == 0) continue; | |
2120 | Int_t rowMax = calROC->GetNrows(); | |
2121 | Int_t colMax = calROC->GetNcols(); | |
2122 | for (Int_t row = 0; row < rowMax; row++) { | |
2123 | for (Int_t col = 0; col < colMax; col++) { | |
2124 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2125 | calROC->SetValue(col,row,TMath::Abs(value)/mean); | |
2126 | } // Col | |
2127 | } // Row | |
2128 | } | |
55a288e5 | 2129 | } |
3a0f6479 | 2130 | return object; |
55a288e5 | 2131 | |
2132 | } | |
55a288e5 | 2133 | //_____________________________________________________________________________ |
979b168f | 2134 | TObject *AliTRDCalibraFit::CreatePadObjectT0(const TObjArray *vectorFit, const AliTRDCalDet *detobject) |
3a0f6479 | 2135 | { |
55a288e5 | 2136 | // |
3a0f6479 | 2137 | // It Creates the AliTRDCalPad object from AliTRDFitInfo2 |
2138 | // You need first to create the object for the detectors, | |
2139 | // where the mean value is put. | |
2140 | // This object has to be written in the database | |
55a288e5 | 2141 | // |
3a0f6479 | 2142 | |
2143 | // Create the DetObject | |
2144 | AliTRDCalPad *object = new AliTRDCalPad("LocalT0","T0 (local variations)"); | |
2145 | ||
2146 | if(!vectorFit){ | |
2147 | for(Int_t k = 0; k < 540; k++){ | |
2148 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2149 | Int_t nchannels = calROC->GetNchannels(); | |
2150 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2151 | calROC->SetValue(ch,0.0); | |
2152 | } | |
2153 | } | |
55a288e5 | 2154 | } |
2155 | else { | |
3a0f6479 | 2156 | |
2157 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2158 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2159 | Int_t detector = -1; | |
2160 | Float_t value = 0.0; | |
2161 | ||
2162 | for (Int_t k = 0; k < loop; k++) { | |
2163 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2164 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2165 | Float_t min = detobject->GetValue(detector); | |
2166 | Int_t rowMax = calROC->GetNrows(); | |
2167 | Int_t colMax = calROC->GetNcols(); | |
2168 | for (Int_t row = 0; row < rowMax; row++) { | |
2169 | for (Int_t col = 0; col < colMax; col++) { | |
2170 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
64942b85 | 2171 | // check successful |
2172 | if(value > 70.0) value = value - 100.0; | |
2173 | // | |
3a0f6479 | 2174 | calROC->SetValue(col,row,value-min); |
2175 | } // Col | |
2176 | } // Row | |
2177 | } | |
55a288e5 | 2178 | } |
3a0f6479 | 2179 | return object; |
55a288e5 | 2180 | |
2181 | } | |
3a0f6479 | 2182 | //_____________________________________________________________________________ |
979b168f | 2183 | TObject *AliTRDCalibraFit::CreatePadObjectPRF(const TObjArray *vectorFit) |
3a0f6479 | 2184 | { |
2185 | // | |
2186 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
2187 | // This object has to be written in the database | |
2188 | // | |
2189 | ||
2190 | // Create the DetObject | |
2191 | AliTRDCalPad *object = new AliTRDCalPad("PRFWidth","PRFWidth"); | |
2192 | ||
2193 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2194 | if(loop != 540) AliInfo("The Vector Fit is not complete!"); | |
2195 | Int_t detector = -1; | |
2196 | Float_t value = 0.0; | |
55a288e5 | 2197 | |
3a0f6479 | 2198 | for (Int_t k = 0; k < loop; k++) { |
2199 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2200 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2201 | Int_t rowMax = calROC->GetNrows(); | |
2202 | Int_t colMax = calROC->GetNcols(); | |
2203 | for (Int_t row = 0; row < rowMax; row++) { | |
2204 | for (Int_t col = 0; col < colMax; col++) { | |
2205 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[(Int_t)(col*rowMax+row)]; | |
2206 | calROC->SetValue(col,row,TMath::Abs(value)); | |
2207 | } // Col | |
2208 | } // Row | |
2209 | } | |
2210 | ||
2211 | return object; | |
2212 | ||
2213 | } | |
55a288e5 | 2214 | //_____________________________________________________________________________ |
979b168f | 2215 | AliTRDCalDet *AliTRDCalibraFit::MakeOutliersStatDet(const TObjArray *vectorFit, const char *name, Double_t &mean) |
3a0f6479 | 2216 | { |
2217 | // | |
2218 | // It Creates the AliTRDCalDet object from AliTRDFitInfo | |
2219 | // 0 successful fit 1 not successful fit | |
2220 | // mean is the mean value over the successful fit | |
2221 | // do not use it for t0: no meaning | |
2222 | // | |
2223 | ||
2224 | // Create the CalObject | |
2225 | AliTRDCalDet *object = new AliTRDCalDet(name,name); | |
2226 | mean = 0.0; | |
2227 | Int_t count = 0; | |
2228 | ||
2229 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2230 | if(loop != 540) { | |
2231 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
2232 | for(Int_t k = 0; k < 540; k++){ | |
2233 | object->SetValue(k,1.0); | |
2234 | } | |
2235 | } | |
2236 | Int_t detector = -1; | |
2237 | Float_t value = 0.0; | |
2238 | ||
2239 | for (Int_t k = 0; k < loop; k++) { | |
2240 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2241 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[0]; | |
2242 | if(value <= 0) object->SetValue(detector,1.0); | |
2243 | else { | |
2244 | object->SetValue(detector,0.0); | |
2245 | mean += value; | |
2246 | count++; | |
2247 | } | |
2248 | } | |
2249 | if(count > 0) mean /= count; | |
2250 | return object; | |
2251 | } | |
2252 | //_____________________________________________________________________________ | |
979b168f | 2253 | TObject *AliTRDCalibraFit::MakeOutliersStatPad(const TObjArray *vectorFit, const char *name, Double_t &mean) |
3a0f6479 | 2254 | { |
2255 | // | |
2256 | // It Creates the AliTRDCalPad object from AliTRDFitInfo | |
2257 | // 0 not successful fit 1 successful fit | |
2258 | // mean mean value over the successful fit | |
2259 | // | |
2260 | ||
2261 | // Create the CalObject | |
2262 | AliTRDCalPad *object = new AliTRDCalPad(name,name); | |
2263 | mean = 0.0; | |
2264 | Int_t count = 0; | |
2265 | ||
2266 | Int_t loop = (Int_t) vectorFit->GetEntriesFast(); | |
2267 | if(loop != 540) { | |
2268 | AliInfo("The Vector Fit is not complete! We initialise all outliers"); | |
2269 | for(Int_t k = 0; k < 540; k++){ | |
2270 | AliTRDCalROC *calROC = object->GetCalROC(k); | |
2271 | Int_t nchannels = calROC->GetNchannels(); | |
2272 | for(Int_t ch = 0; ch < nchannels; ch++){ | |
2273 | calROC->SetValue(ch,1.0); | |
2274 | } | |
2275 | } | |
2276 | } | |
2277 | Int_t detector = -1; | |
2278 | Float_t value = 0.0; | |
2279 | ||
2280 | for (Int_t k = 0; k < loop; k++) { | |
2281 | detector = ((AliTRDFitInfo *) vectorFit->At(k))->GetDetector(); | |
2282 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2283 | Int_t nchannels = calROC->GetNchannels(); | |
2284 | for (Int_t ch = 0; ch < nchannels; ch++) { | |
2285 | value = ((AliTRDFitInfo *) vectorFit->At(k))->GetCoef()[ch]; | |
2286 | if(value <= 0) calROC->SetValue(ch,1.0); | |
2287 | else { | |
2288 | calROC->SetValue(ch,0.0); | |
2289 | mean += value; | |
2290 | count++; | |
2291 | } | |
2292 | } // channels | |
2293 | } | |
2294 | if(count > 0) mean /= count; | |
2295 | return object; | |
2296 | } | |
2297 | //_____________________________________________________________________________ | |
2298 | void AliTRDCalibraFit::SetPeriodeFitPH(Int_t periodeFitPH) | |
55a288e5 | 2299 | { |
2300 | // | |
3a0f6479 | 2301 | // Set FitPH if 1 then each detector will be fitted |
55a288e5 | 2302 | // |
2303 | ||
3a0f6479 | 2304 | if (periodeFitPH > 0) { |
2305 | fFitPHPeriode = periodeFitPH; | |
55a288e5 | 2306 | } |
2307 | else { | |
3a0f6479 | 2308 | AliInfo("periodeFitPH must be higher than 0!"); |
55a288e5 | 2309 | } |
2310 | ||
2311 | } | |
55a288e5 | 2312 | //_____________________________________________________________________________ |
2313 | void AliTRDCalibraFit::SetBeginFitCharge(Float_t beginFitCharge) | |
2314 | { | |
2315 | // | |
2316 | // The fit of the deposited charge distribution begins at | |
2317 | // histo->Mean()/beginFitCharge | |
2318 | // You can here set beginFitCharge | |
2319 | // | |
2320 | ||
2321 | if (beginFitCharge > 0) { | |
2322 | fBeginFitCharge = beginFitCharge; | |
2323 | } | |
2324 | else { | |
2325 | AliInfo("beginFitCharge must be strict positif!"); | |
2326 | } | |
2327 | ||
2328 | } | |
2329 | ||
2330 | //_____________________________________________________________________________ | |
413153cb | 2331 | void AliTRDCalibraFit::SetT0Shift0(Float_t t0Shift) |
2332 | { | |
2333 | // | |
2334 | // The t0 calculated with the maximum positif slope is shift from t0Shift0 | |
2335 | // You can here set t0Shift0 | |
2336 | // | |
2337 | ||
2338 | if (t0Shift > 0) { | |
2339 | fT0Shift0 = t0Shift; | |
2340 | } | |
2341 | else { | |
2342 | AliInfo("t0Shift0 must be strict positif!"); | |
2343 | } | |
2344 | ||
2345 | } | |
2346 | ||
2347 | //_____________________________________________________________________________ | |
2348 | void AliTRDCalibraFit::SetT0Shift1(Float_t t0Shift) | |
55a288e5 | 2349 | { |
2350 | // | |
413153cb | 2351 | // The t0 calculated with the maximum of the amplification region is shift from t0Shift1 |
2352 | // You can here set t0Shift1 | |
55a288e5 | 2353 | // |
2354 | ||
2355 | if (t0Shift > 0) { | |
413153cb | 2356 | fT0Shift1 = t0Shift; |
55a288e5 | 2357 | } |
2358 | else { | |
2359 | AliInfo("t0Shift must be strict positif!"); | |
2360 | } | |
2361 | ||
2362 | } | |
2363 | ||
2364 | //_____________________________________________________________________________ | |
2365 | void AliTRDCalibraFit::SetRangeFitPRF(Float_t rangeFitPRF) | |
2366 | { | |
2367 | // | |
2368 | // The fit of the PRF is from -rangeFitPRF to rangeFitPRF | |
2369 | // You can here set rangeFitPRF | |
2370 | // | |
2371 | ||
2372 | if ((rangeFitPRF > 0) && | |
2373 | (rangeFitPRF <= 1.5)) { | |
2374 | fRangeFitPRF = rangeFitPRF; | |
2375 | } | |
2376 | else { | |
2377 | AliInfo("rangeFitPRF must be between 0 and 1.0"); | |
2378 | } | |
2379 | ||
2380 | } | |
2381 | ||
3a0f6479 | 2382 | //_____________________________________________________________________________ |
2383 | void AliTRDCalibraFit::SetMinEntries(Int_t minEntries) | |
2384 | { | |
2385 | // | |
2386 | // Minimum entries for fitting | |
2387 | // | |
2388 | ||
2389 | if (minEntries > 0) { | |
2390 | fMinEntries = minEntries; | |
2391 | } | |
2392 | else { | |
2393 | AliInfo("fMinEntries must be >= 0."); | |
2394 | } | |
2395 | ||
2396 | } | |
2397 | ||
55a288e5 | 2398 | //_____________________________________________________________________________ |
2399 | void AliTRDCalibraFit::SetRebin(Short_t rebin) | |
2400 | { | |
2401 | // | |
2402 | // Rebin with rebin time less bins the Ch histo | |
2403 | // You can set here rebin that should divide the number of bins of CH histo | |
2404 | // | |
2405 | ||
2406 | if (rebin > 0) { | |
2407 | fRebin = rebin; | |
2408 | AliInfo("You have to be sure that fRebin divides fNumberBinCharge used!"); | |
2409 | } | |
2410 | else { | |
2411 | AliInfo("You have to choose a positiv value!"); | |
2412 | } | |
2413 | ||
2414 | } | |
55a288e5 | 2415 | //_____________________________________________________________________________ |
3a0f6479 | 2416 | Bool_t AliTRDCalibraFit::FillVectorFit() |
55a288e5 | 2417 | { |
2418 | // | |
3a0f6479 | 2419 | // For the Fit functions fill the vector Fit |
55a288e5 | 2420 | // |
55a288e5 | 2421 | |
3a0f6479 | 2422 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 2423 | |
3a0f6479 | 2424 | Int_t ntotal = 1; |
053767a4 | 2425 | if (GetStack(fCountDet) == 2) { |
3a0f6479 | 2426 | ntotal = 1728; |
55a288e5 | 2427 | } |
3a0f6479 | 2428 | else { |
2429 | ntotal = 2304; | |
55a288e5 | 2430 | } |
3a0f6479 | 2431 | |
2432 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
2433 | Float_t *coef = new Float_t[ntotal]; | |
2434 | for (Int_t i = 0; i < ntotal; i++) { | |
2435 | coef[i] = fCurrentCoefDetector[i]; | |
55a288e5 | 2436 | } |
3a0f6479 | 2437 | |
2438 | Int_t detector = fCountDet; | |
2439 | // Set | |
2440 | fitInfo->SetCoef(coef); | |
2441 | fitInfo->SetDetector(detector); | |
2442 | fVectorFit.Add((TObject *) fitInfo); | |
2443 | ||
2444 | return kTRUE; | |
55a288e5 | 2445 | |
3a0f6479 | 2446 | } |
55a288e5 | 2447 | //_____________________________________________________________________________ |
3a0f6479 | 2448 | Bool_t AliTRDCalibraFit::FillVectorFit2() |
55a288e5 | 2449 | { |
2450 | // | |
3a0f6479 | 2451 | // For the Fit functions fill the vector Fit |
55a288e5 | 2452 | // |
55a288e5 | 2453 | |
3a0f6479 | 2454 | AliTRDFitInfo *fitInfo = new AliTRDFitInfo(); |
55a288e5 | 2455 | |
3a0f6479 | 2456 | Int_t ntotal = 1; |
053767a4 | 2457 | if (GetStack(fCountDet) == 2) { |
3a0f6479 | 2458 | ntotal = 1728; |
55a288e5 | 2459 | } |
3a0f6479 | 2460 | else { |
2461 | ntotal = 2304; | |
55a288e5 | 2462 | } |
3a0f6479 | 2463 | |
2464 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
2465 | Float_t *coef = new Float_t[ntotal]; | |
2466 | for (Int_t i = 0; i < ntotal; i++) { | |
2467 | coef[i] = fCurrentCoefDetector2[i]; | |
55a288e5 | 2468 | } |
3a0f6479 | 2469 | |
2470 | Int_t detector = fCountDet; | |
2471 | // Set | |
2472 | fitInfo->SetCoef(coef); | |
2473 | fitInfo->SetDetector(detector); | |
2474 | fVectorFit2.Add((TObject *) fitInfo); | |
55a288e5 | 2475 | |
3a0f6479 | 2476 | return kTRUE; |
55a288e5 | 2477 | |
3a0f6479 | 2478 | } |
2479 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2480 | Bool_t AliTRDCalibraFit::InitFit(Int_t nbins, Int_t i) | |
55a288e5 | 2481 | { |
2482 | // | |
3a0f6479 | 2483 | // Init the number of expected bins and fDect1[i] fDect2[i] |
55a288e5 | 2484 | // |
2485 | ||
3a0f6479 | 2486 | gStyle->SetPalette(1); |
2487 | gStyle->SetOptStat(1111); | |
2488 | gStyle->SetPadBorderMode(0); | |
2489 | gStyle->SetCanvasColor(10); | |
2490 | gStyle->SetPadLeftMargin(0.13); | |
2491 | gStyle->SetPadRightMargin(0.01); | |
2492 | ||
2493 | // Mode groups of pads: the total number of bins! | |
2494 | CalculNumberOfBinsExpected(i); | |
2495 | ||
2496 | // Quick verification that we have the good pad calibration mode! | |
2497 | if (fNumberOfBinsExpected != nbins) { | |
64942b85 | 2498 | AliInfo(Form("It doesn't correspond to the mode of pad group calibration: expected %d and seen %d!",fNumberOfBinsExpected,nbins)); |
3a0f6479 | 2499 | return kFALSE; |
55a288e5 | 2500 | } |
3a0f6479 | 2501 | |
2502 | // Security for fDebug 3 and 4 | |
2503 | if ((fDebugLevel >= 3) && | |
2504 | ((fDet[0] > 5) || | |
2505 | (fDet[1] > 4) || | |
2506 | (fDet[2] > 17))) { | |
2507 | AliInfo("This detector doesn't exit!"); | |
2508 | return kFALSE; | |
55a288e5 | 2509 | } |
2510 | ||
3a0f6479 | 2511 | // Determine fDet1 and fDet2 and set the fNfragZ and fNfragRphi for debug 3 and 4 |
2512 | CalculDect1Dect2(i); | |
55a288e5 | 2513 | |
3a0f6479 | 2514 | |
2515 | return kTRUE; | |
55a288e5 | 2516 | } |
3a0f6479 | 2517 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2518 | Bool_t AliTRDCalibraFit::InitFitCH() | |
55a288e5 | 2519 | { |
2520 | // | |
3a0f6479 | 2521 | // Init the fVectorFitCH for normalisation |
2522 | // Init the histo for debugging | |
55a288e5 | 2523 | // |
2524 | ||
3a0f6479 | 2525 | gDirectory = gROOT; |
2526 | ||
2527 | fScaleFitFactor = 0.0; | |
2528 | fCurrentCoefDetector = new Float_t[2304]; | |
2529 | for (Int_t k = 0; k < 2304; k++) { | |
2530 | fCurrentCoefDetector[k] = 0.0; | |
2531 | } | |
2532 | fVectorFit.SetName("gainfactorscoefficients"); | |
55a288e5 | 2533 | |
3a0f6479 | 2534 | // fDebug == 0 nothing |
2535 | // fDebug == 1 and fFitVoir no histo | |
2536 | if (fDebugLevel == 1) { | |
2537 | if(!CheckFitVoir()) return kFALSE; | |
2538 | } | |
2539 | //Get the CalDet object | |
2540 | if(fAccCDB){ | |
2541 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2542 | if (!cal) { | |
2543 | AliInfo("Could not get calibDB"); | |
2544 | return kFALSE; | |
55a288e5 | 2545 | } |
3a0f6479 | 2546 | if(fCalDet) delete fCalDet; |
2547 | fCalDet = new AliTRDCalDet(*(cal->GetGainFactorDet())); | |
55a288e5 | 2548 | } |
3a0f6479 | 2549 | else{ |
2550 | Float_t devalue = 1.0; | |
2551 | if(fCalDet) delete fCalDet; | |
2552 | fCalDet = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); | |
2553 | for(Int_t k = 0; k < 540; k++){ | |
2554 | fCalDet->SetValue(k,devalue); | |
55a288e5 | 2555 | } |
2556 | } | |
3a0f6479 | 2557 | return kTRUE; |
2558 | ||
55a288e5 | 2559 | } |
3a0f6479 | 2560 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2561 | Bool_t AliTRDCalibraFit::InitFitPH() | |
55a288e5 | 2562 | { |
2563 | // | |
3a0f6479 | 2564 | // Init the arrays of results |
2565 | // Init the histos for debugging | |
55a288e5 | 2566 | // |
55a288e5 | 2567 | |
3a0f6479 | 2568 | gDirectory = gROOT; |
2569 | fVectorFit.SetName("driftvelocitycoefficients"); | |
2570 | fVectorFit2.SetName("t0coefficients"); | |
55a288e5 | 2571 | |
3a0f6479 | 2572 | fCurrentCoefDetector = new Float_t[2304]; |
2573 | for (Int_t k = 0; k < 2304; k++) { | |
2574 | fCurrentCoefDetector[k] = 0.0; | |
2575 | } | |
2576 | ||
2577 | fCurrentCoefDetector2 = new Float_t[2304]; | |
2578 | for (Int_t k = 0; k < 2304; k++) { | |
2579 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2580 | } |
2581 | ||
3a0f6479 | 2582 | //fDebug == 0 nothing |
2583 | // fDebug == 1 and fFitVoir no histo | |
2584 | if (fDebugLevel == 1) { | |
2585 | if(!CheckFitVoir()) return kFALSE; | |
2586 | } | |
2587 | //Get the CalDet object | |
2588 | if(fAccCDB){ | |
2589 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2590 | if (!cal) { | |
2591 | AliInfo("Could not get calibDB"); | |
2592 | return kFALSE; | |
2593 | } | |
2594 | if(fCalDet) delete fCalDet; | |
2595 | if(fCalDet2) delete fCalDet2; | |
2596 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2597 | fCalDet2 = new AliTRDCalDet(*(cal->GetT0Det())); | |
2598 | } | |
2599 | else{ | |
2600 | Float_t devalue = 1.5; | |
2601 | Float_t devalue2 = 0.0; | |
2602 | if(fCalDet) delete fCalDet; | |
2603 | if(fCalDet2) delete fCalDet2; | |
2604 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2605 | fCalDet2 = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
2606 | for(Int_t k = 0; k < 540; k++){ | |
2607 | fCalDet->SetValue(k,devalue); | |
2608 | fCalDet2->SetValue(k,devalue2); | |
2609 | } | |
2610 | } | |
2611 | return kTRUE; | |
55a288e5 | 2612 | } |
3a0f6479 | 2613 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2614 | Bool_t AliTRDCalibraFit::InitFitPRF() | |
55a288e5 | 2615 | { |
2616 | // | |
3a0f6479 | 2617 | // Init the calibration mode (Nz, Nrphi), the histograms for |
2618 | // debugging the fit methods if fDebug > 0, | |
2619 | // | |
2620 | ||
2621 | gDirectory = gROOT; | |
2622 | fVectorFit.SetName("prfwidthcoefficients"); | |
2623 | ||
2624 | fCurrentCoefDetector = new Float_t[2304]; | |
2625 | for (Int_t k = 0; k < 2304; k++) { | |
2626 | fCurrentCoefDetector[k] = 0.0; | |
55a288e5 | 2627 | } |
2628 | ||
3a0f6479 | 2629 | // fDebug == 0 nothing |
2630 | // fDebug == 1 and fFitVoir no histo | |
2631 | if (fDebugLevel == 1) { | |
2632 | if(!CheckFitVoir()) return kFALSE; | |
2633 | } | |
2634 | return kTRUE; | |
55a288e5 | 2635 | } |
3a0f6479 | 2636 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2637 | Bool_t AliTRDCalibraFit::InitFitLinearFitter() | |
55a288e5 | 2638 | { |
2639 | // | |
3a0f6479 | 2640 | // Init the fCalDet, fVectorFit fCurrentCoefDetector |
55a288e5 | 2641 | // |
3a0f6479 | 2642 | |
2643 | gDirectory = gROOT; | |
2644 | ||
2645 | fCurrentCoefDetector = new Float_t[2304]; | |
2646 | fCurrentCoefDetector2 = new Float_t[2304]; | |
2647 | for (Int_t k = 0; k < 2304; k++) { | |
2648 | fCurrentCoefDetector[k] = 0.0; | |
2649 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 2650 | } |
2651 | ||
3a0f6479 | 2652 | //printf("test0\n"); |
2653 | ||
2654 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2655 | if (!cal) { | |
2656 | AliInfo("Could not get calibDB"); | |
2657 | return kFALSE; | |
55a288e5 | 2658 | } |
2659 | ||
3a0f6479 | 2660 | //Get the CalDet object |
2661 | if(fAccCDB){ | |
2662 | if(fCalDet) delete fCalDet; | |
2663 | if(fCalDet2) delete fCalDet2; | |
2664 | fCalDet = new AliTRDCalDet(*(cal->GetVdriftDet())); | |
2665 | //printf("test1\n"); | |
2666 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2667 | //printf("test2\n"); | |
2668 | for(Int_t k = 0; k < 540; k++){ | |
a076fc2f | 2669 | fCalDet2->SetValue(k,AliTRDCommonParam::Instance()->GetOmegaTau(fCalDet->GetValue(k))); |
3a0f6479 | 2670 | } |
2671 | //printf("test3\n"); | |
2672 | } | |
2673 | else{ | |
2674 | Float_t devalue = 1.5; | |
a076fc2f | 2675 | Float_t devalue2 = AliTRDCommonParam::Instance()->GetOmegaTau(1.5); |
3a0f6479 | 2676 | if(fCalDet) delete fCalDet; |
2677 | if(fCalDet2) delete fCalDet2; | |
2678 | //printf("test1\n"); | |
2679 | fCalDet = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
2680 | fCalDet2 = new AliTRDCalDet("lorentz angle tan","lorentz angle tan (detector value)"); | |
2681 | //printf("test2\n"); | |
2682 | for(Int_t k = 0; k < 540; k++){ | |
2683 | fCalDet->SetValue(k,devalue); | |
2684 | fCalDet2->SetValue(k,devalue2); | |
2685 | } | |
2686 | //printf("test3\n"); | |
2687 | } | |
55a288e5 | 2688 | return kTRUE; |
55a288e5 | 2689 | } |
2690 | ||
2691 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3a0f6479 | 2692 | void AliTRDCalibraFit::InitfCountDetAndfCount(Int_t i) |
55a288e5 | 2693 | { |
2694 | // | |
3a0f6479 | 2695 | // Init the current detector where we are fCountDet and the |
2696 | // next fCount for the functions Fit... | |
55a288e5 | 2697 | // |
2698 | ||
3a0f6479 | 2699 | // Loop on the Xbins of ch!! |
2700 | fCountDet = -1; // Current detector | |
2701 | fCount = 0; // To find the next detector | |
2702 | ||
2703 | // If fDebug >= 3 | |
2704 | if (fDebugLevel >= 3) { | |
2705 | // Set countdet to the detector | |
2706 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2707 | // Set counter to write at the end of the detector | |
2708 | fCount = fDect2; | |
2709 | // Get the right calib objects | |
2710 | SetCalROC(i); | |
2711 | } | |
2712 | if(fDebugLevel == 1) { | |
2713 | fCountDet = 0; | |
2714 | fCalibraMode->CalculXBins(fCountDet,i); | |
6aafa7ea | 2715 | if((fCalibraMode->GetNz(i)!=100) && (fCalibraMode->GetNrphi(i)!=100)){ |
2716 | while(fCalibraMode->GetXbins(i) <=fFitVoir){ | |
2717 | fCountDet++; | |
2718 | fCalibraMode->CalculXBins(fCountDet,i); | |
2719 | //printf("GetXBins %d\n",fCalibraMode->GetXbins(i)); | |
2720 | } | |
2721 | } | |
2722 | else { | |
3a0f6479 | 2723 | fCountDet++; |
6aafa7ea | 2724 | } |
3a0f6479 | 2725 | fCount = fCalibraMode->GetXbins(i); |
2726 | fCountDet--; | |
2727 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
053767a4 | 2728 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); |
2729 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2730 | ,(Int_t) GetStack(fCountDet) | |
2731 | ,(Int_t) GetSector(fCountDet),i); | |
3a0f6479 | 2732 | } |
2733 | } | |
2734 | //_______________________________________________________________________________ | |
2735 | void AliTRDCalibraFit::CalculNumberOfBinsExpected(Int_t i) | |
2736 | { | |
2737 | // | |
2738 | // Calculate the number of bins expected (calibration groups) | |
2739 | // | |
2740 | ||
2741 | fNumberOfBinsExpected = 0; | |
64942b85 | 2742 | // All |
2743 | if((fCalibraMode->GetNz(i) == 100) && (fCalibraMode->GetNrphi(i) == 100)){ | |
2744 | fNumberOfBinsExpected = 1; | |
2745 | return; | |
2746 | } | |
2747 | // Per supermodule | |
2748 | if((fCalibraMode->GetNz(i) == 10) && (fCalibraMode->GetNrphi(i) == 10)){ | |
2749 | fNumberOfBinsExpected = 18; | |
2750 | return; | |
2751 | } | |
2752 | // More | |
55a288e5 | 2753 | fCalibraMode->ModePadCalibration(2,i); |
2754 | fCalibraMode->ModePadFragmentation(0,2,0,i); | |
2755 | fCalibraMode->SetDetChamb2(i); | |
3a0f6479 | 2756 | if (fDebugLevel > 1) { |
55a288e5 | 2757 | AliInfo(Form("For the chamber 2: %d",fCalibraMode->GetDetChamb2(i))); |
2758 | } | |
3a0f6479 | 2759 | fNumberOfBinsExpected += 6 * 18 * fCalibraMode->GetDetChamb2(i); |
55a288e5 | 2760 | fCalibraMode->ModePadCalibration(0,i); |
2761 | fCalibraMode->ModePadFragmentation(0,0,0,i); | |
2762 | fCalibraMode->SetDetChamb0(i); | |
3a0f6479 | 2763 | if (fDebugLevel > 1) { |
55a288e5 | 2764 | AliInfo(Form("For the other chamber 0: %d",fCalibraMode->GetDetChamb0(i))); |
2765 | } | |
3a0f6479 | 2766 | fNumberOfBinsExpected += 6 * 4 * 18 * fCalibraMode->GetDetChamb0(i); |
2767 | ||
2768 | } | |
2769 | //_______________________________________________________________________________ | |
2770 | void AliTRDCalibraFit::CalculDect1Dect2(Int_t i) | |
2771 | { | |
2772 | // | |
2773 | // Calculate the range of fits | |
2774 | // | |
55a288e5 | 2775 | |
3a0f6479 | 2776 | fDect1 = -1; |
2777 | fDect2 = -1; | |
2778 | if (fDebugLevel == 1) { | |
2779 | fDect1 = fFitVoir; | |
2780 | fDect2 = fDect1 +1; | |
55a288e5 | 2781 | } |
3a0f6479 | 2782 | if ((fDebugLevel == 2) || (fDebugLevel == 0)) { |
2783 | fDect1 = 0; | |
2784 | fDect2 = fNumberOfBinsExpected; | |
55a288e5 | 2785 | } |
3a0f6479 | 2786 | if (fDebugLevel >= 3) { |
2787 | fCountDet = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2788 | fCalibraMode->CalculXBins(fCountDet,i); | |
2789 | fDect1 = fCalibraMode->GetXbins(i); | |
2790 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
053767a4 | 2791 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); |
2792 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2793 | ,(Int_t) GetStack(fCountDet) | |
2794 | ,(Int_t) GetSector(fCountDet),i); | |
3a0f6479 | 2795 | // Set for the next detector |
2796 | fDect2 = fDect1 + fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
55a288e5 | 2797 | } |
55a288e5 | 2798 | } |
3a0f6479 | 2799 | //_______________________________________________________________________________ |
2800 | Bool_t AliTRDCalibraFit::CheckFitVoir() | |
55a288e5 | 2801 | { |
2802 | // | |
3a0f6479 | 2803 | // Check if fFitVoir is in the range |
55a288e5 | 2804 | // |
2805 | ||
3a0f6479 | 2806 | if (fFitVoir < fNumberOfBinsExpected) { |
2807 | AliInfo(Form("We will see the fit of the object %d",fFitVoir)); | |
55a288e5 | 2808 | } |
3a0f6479 | 2809 | else { |
2810 | AliInfo("fFitVoir is out of range of the histo!"); | |
2811 | return kFALSE; | |
2812 | } | |
2813 | return kTRUE; | |
55a288e5 | 2814 | } |
55a288e5 | 2815 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2816 | void AliTRDCalibraFit::UpdatefCountDetAndfCount(Int_t idect, Int_t i) | |
2817 | { | |
2818 | // | |
2819 | // See if we are in a new detector and update the | |
2820 | // variables fNfragZ and fNfragRphi if yes | |
3a0f6479 | 2821 | // Will never happen for only one detector (3 and 4) |
2822 | // Doesn't matter for 2 | |
2823 | // | |
2824 | if (fCount == idect) { | |
64942b85 | 2825 | // On en est au detector (or first detector in the group) |
2826 | fCountDet += 1; | |
2827 | AliDebug(2,Form("We are at the detector %d\n",fCountDet)); | |
2828 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2829 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),i); | |
2830 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
053767a4 | 2831 | ,(Int_t) GetStack(fCountDet) |
2832 | ,(Int_t) GetSector(fCountDet),i); | |
64942b85 | 2833 | // Set for the next detector |
2834 | fCount += fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
2835 | // calib objects | |
2836 | SetCalROC(i); | |
2837 | } | |
55a288e5 | 2838 | } |
55a288e5 | 2839 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
2840 | void AliTRDCalibraFit::ReconstructFitRowMinRowMax(Int_t idect, Int_t i) | |
2841 | { | |
2842 | // | |
2843 | // Reconstruct the min pad row, max pad row, min pad col and | |
2844 | // max pad col of the calibration group for the Fit functions | |
64942b85 | 2845 | // idect is the calibration group inside the detector |
55a288e5 | 2846 | // |
3a0f6479 | 2847 | if (fDebugLevel != 1) { |
2848 | fCalibraMode->ReconstructionRowPadGroup((Int_t) (idect-(fCount-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i)))),i); | |
55a288e5 | 2849 | } |
64942b85 | 2850 | AliDebug(2,Form("AliTRDCalibraFit::ReconstructFitRowMinRowMax: the local calibration group is %d",idect-(fCount-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i))))); |
2851 | AliDebug(2,Form("AliTRDCalibraFit::ReconstructFitRowMinRowMax: the number of group per detector is %d",fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i))); | |
55a288e5 | 2852 | } |
55a288e5 | 2853 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3a0f6479 | 2854 | Bool_t AliTRDCalibraFit::NotEnoughStatisticCH(Int_t idect) |
55a288e5 | 2855 | { |
2856 | // | |
2857 | // For the case where there are not enough entries in the histograms | |
3a0f6479 | 2858 | // of the calibration group, the value present in the choosen database |
2859 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2860 | // | |
2861 | ||
2862 | if (fDebugLevel == 1) { | |
2863 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 2864 | } |
64942b85 | 2865 | else if (fNbDet > 0){ |
2866 | Int_t firstdetector = fCountDet; | |
2867 | Int_t lastdetector = fCountDet+fNbDet; | |
2868 | AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted" | |
2869 | ,idect,firstdetector,lastdetector)); | |
2870 | // loop over detectors | |
2871 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
2872 | ||
2873 | //Set the calibration object again | |
2874 | fCountDet = det; | |
2875 | SetCalROC(0); | |
2876 | ||
2877 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2878 | // Put them at 1 | |
2879 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),0); | |
2880 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
2881 | ,(Int_t) GetStack(fCountDet) | |
2882 | ,(Int_t) GetSector(fCountDet),0); | |
2883 | // Reconstruct row min row max | |
2884 | ReconstructFitRowMinRowMax(idect,0); | |
2885 | ||
2886 | // Calcul the coef from the database choosen for the detector | |
2887 | CalculChargeCoefMean(kFALSE); | |
2888 | ||
2889 | //stack 2, not stack 2 | |
2890 | Int_t factor = 0; | |
2891 | if(GetStack(fCountDet) == 2) factor = 12; | |
2892 | else factor = 16; | |
2893 | ||
2894 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
2895 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
2896 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
2897 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
2898 | } | |
2899 | } | |
2900 | ||
2901 | //Put default value negative | |
2902 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2903 | fCurrentCoefE = 0.0; | |
2904 | ||
2905 | // Fill the stuff | |
2906 | FillVectorFit(); | |
2907 | // Debug | |
2908 | if(fDebugLevel > 1){ | |
2909 | ||
2910 | if ( !fDebugStreamer ) { | |
2911 | //debug stream | |
2912 | TDirectory *backup = gDirectory; | |
2913 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); | |
2914 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
2915 | } | |
2916 | ||
2917 | Int_t detector = fCountDet; | |
2918 | Int_t caligroup = idect; | |
2919 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
2920 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
2921 | Short_t colmin = fCalibraMode->GetColMin(0); | |
2922 | Short_t colmax = fCalibraMode->GetColMax(0); | |
2923 | Float_t gf = fCurrentCoef[0]; | |
2924 | Float_t gfs = fCurrentCoef[1]; | |
2925 | Float_t gfE = fCurrentCoefE; | |
2926 | ||
2927 | (*fDebugStreamer) << "FillFillCH" << | |
2928 | "detector=" << detector << | |
2929 | "caligroup=" << caligroup << | |
2930 | "rowmin=" << rowmin << | |
2931 | "rowmax=" << rowmax << | |
2932 | "colmin=" << colmin << | |
2933 | "colmax=" << colmax << | |
2934 | "gf=" << gf << | |
2935 | "gfs=" << gfs << | |
2936 | "gfE=" << gfE << | |
2937 | "\n"; | |
2938 | ||
2939 | } | |
2940 | // Reset | |
2941 | for (Int_t k = 0; k < 2304; k++) { | |
2942 | fCurrentCoefDetector[k] = 0.0; | |
2943 | } | |
2944 | ||
2945 | }// loop detector | |
2946 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
2947 | } | |
3a0f6479 | 2948 | else { |
55a288e5 | 2949 | |
3a0f6479 | 2950 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
2951 | ,idect-(fCount-(fCalibraMode->GetNfragZ(0)*fCalibraMode->GetNfragRphi(0))),fCountDet)); | |
2952 | ||
2953 | // Calcul the coef from the database choosen | |
2954 | CalculChargeCoefMean(kFALSE); | |
55a288e5 | 2955 | |
053767a4 | 2956 | //stack 2, not stack 2 |
3a0f6479 | 2957 | Int_t factor = 0; |
053767a4 | 2958 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 2959 | else factor = 16; |
55a288e5 | 2960 | |
3a0f6479 | 2961 | // Fill the fCurrentCoefDetector with negative value to say: not fitted |
2962 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
2963 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
2964 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 2965 | } |
2966 | } | |
3a0f6479 | 2967 | |
2968 | //Put default value negative | |
2969 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
2970 | fCurrentCoefE = 0.0; | |
2971 | ||
2972 | FillFillCH(idect); | |
2973 | } | |
2974 | ||
2975 | return kTRUE; | |
55a288e5 | 2976 | } |
2977 | ||
3a0f6479 | 2978 | |
2979 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
64942b85 | 2980 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPH(Int_t idect,Double_t nentries) |
55a288e5 | 2981 | { |
2982 | // | |
3a0f6479 | 2983 | // For the case where there are not enough entries in the histograms |
2984 | // of the calibration group, the value present in the choosen database | |
2985 | // will be put. A negativ sign enables to know that a fit was not possible. | |
55a288e5 | 2986 | // |
3a0f6479 | 2987 | if (fDebugLevel == 1) { |
2988 | AliInfo("The element has not enough statistic to be fitted"); | |
2989 | } | |
64942b85 | 2990 | else if (fNbDet > 0) { |
2991 | ||
2992 | Int_t firstdetector = fCountDet; | |
2993 | Int_t lastdetector = fCountDet+fNbDet; | |
2994 | AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted" | |
2995 | ,idect,firstdetector,lastdetector)); | |
2996 | // loop over detectors | |
2997 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
2998 | ||
2999 | //Set the calibration object again | |
3000 | fCountDet = det; | |
3001 | SetCalROC(1); | |
3002 | ||
3003 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3004 | // Put them at 1 | |
3005 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),1); | |
3006 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3007 | ,(Int_t) GetStack(fCountDet) | |
3008 | ,(Int_t) GetSector(fCountDet),1); | |
3009 | // Reconstruct row min row max | |
3010 | ReconstructFitRowMinRowMax(idect,1); | |
3011 | ||
3012 | // Calcul the coef from the database choosen for the detector | |
3013 | CalculVdriftCoefMean(); | |
3014 | CalculT0CoefMean(); | |
3015 | ||
3016 | //stack 2, not stack 2 | |
3017 | Int_t factor = 0; | |
3018 | if(GetStack(fCountDet) == 2) factor = 12; | |
3019 | else factor = 16; | |
3020 | ||
3021 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3022 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3023 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3024 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
3025 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[1] + 100.0; | |
3026 | } | |
3027 | } | |
3028 | ||
3029 | //Put default value negative | |
3030 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3031 | fCurrentCoefE = 0.0; | |
3032 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
3033 | fCurrentCoefE2 = 0.0; | |
3034 | ||
3035 | // Fill the stuff | |
3036 | FillVectorFit(); | |
3037 | FillVectorFit2(); | |
3038 | // Debug | |
3039 | if(fDebugLevel > 1){ | |
3040 | ||
3041 | if ( !fDebugStreamer ) { | |
3042 | //debug stream | |
3043 | TDirectory *backup = gDirectory; | |
3044 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); | |
3045 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3046 | } | |
3047 | ||
3048 | ||
3049 | Int_t detector = fCountDet; | |
3050 | Int_t caligroup = idect; | |
3051 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
3052 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
3053 | Short_t colmin = fCalibraMode->GetColMin(1); | |
3054 | Short_t colmax = fCalibraMode->GetColMax(1); | |
3055 | Float_t vf = fCurrentCoef[0]; | |
3056 | Float_t vs = fCurrentCoef[1]; | |
3057 | Float_t vfE = fCurrentCoefE; | |
3058 | Float_t t0f = fCurrentCoef2[0]; | |
3059 | Float_t t0s = fCurrentCoef2[1]; | |
3060 | Float_t t0E = fCurrentCoefE2; | |
3061 | ||
3062 | ||
3063 | ||
3064 | (* fDebugStreamer) << "FillFillPH"<< | |
3065 | "detector="<<detector<< | |
3066 | "nentries="<<nentries<< | |
3067 | "caligroup="<<caligroup<< | |
3068 | "rowmin="<<rowmin<< | |
3069 | "rowmax="<<rowmax<< | |
3070 | "colmin="<<colmin<< | |
3071 | "colmax="<<colmax<< | |
3072 | "vf="<<vf<< | |
3073 | "vs="<<vs<< | |
3074 | "vfE="<<vfE<< | |
3075 | "t0f="<<t0f<< | |
3076 | "t0s="<<t0s<< | |
3077 | "t0E="<<t0E<< | |
3078 | "\n"; | |
3079 | } | |
3080 | // Reset | |
3081 | for (Int_t k = 0; k < 2304; k++) { | |
3082 | fCurrentCoefDetector[k] = 0.0; | |
3083 | fCurrentCoefDetector2[k] = 0.0; | |
3084 | } | |
3085 | ||
3086 | }// loop detector | |
3087 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
3088 | } | |
3a0f6479 | 3089 | else { |
55a288e5 | 3090 | |
3a0f6479 | 3091 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" |
3092 | ,idect-(fCount-(fCalibraMode->GetNfragZ(1)*fCalibraMode->GetNfragRphi(1))),fCountDet)); | |
55a288e5 | 3093 | |
3a0f6479 | 3094 | CalculVdriftCoefMean(); |
3095 | CalculT0CoefMean(); | |
55a288e5 | 3096 | |
053767a4 | 3097 | //stack 2 and not stack 2 |
3a0f6479 | 3098 | Int_t factor = 0; |
053767a4 | 3099 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 3100 | else factor = 16; |
55a288e5 | 3101 | |
55a288e5 | 3102 | |
3a0f6479 | 3103 | // Fill the fCurrentCoefDetector 2 |
3104 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3105 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3106 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
64942b85 | 3107 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 3108 | } |
3109 | } | |
55a288e5 | 3110 | |
3a0f6479 | 3111 | // Put the default value |
3112 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3113 | fCurrentCoefE = 0.0; | |
64942b85 | 3114 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
3a0f6479 | 3115 | fCurrentCoefE2 = 0.0; |
3116 | ||
64942b85 | 3117 | FillFillPH(idect,nentries); |
3a0f6479 | 3118 | |
3119 | } | |
55a288e5 | 3120 | |
3a0f6479 | 3121 | return kTRUE; |
64942b85 | 3122 | |
3a0f6479 | 3123 | } |
3124 | ||
3125 | ||
3126 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3127 | Bool_t AliTRDCalibraFit::NotEnoughStatisticPRF(Int_t idect) | |
3128 | { | |
3129 | // | |
3130 | // For the case where there are not enough entries in the histograms | |
3131 | // of the calibration group, the value present in the choosen database | |
3132 | // will be put. A negativ sign enables to know that a fit was not possible. | |
3133 | // | |
55a288e5 | 3134 | |
3a0f6479 | 3135 | if (fDebugLevel == 1) { |
3136 | AliInfo("The element has not enough statistic to be fitted"); | |
55a288e5 | 3137 | } |
64942b85 | 3138 | else if (fNbDet > 0){ |
3139 | ||
3140 | Int_t firstdetector = fCountDet; | |
3141 | Int_t lastdetector = fCountDet+fNbDet; | |
3142 | AliInfo(Form("The element %d containing the detectors %d to %d has not enough statistic to be fitted" | |
3143 | ,idect,firstdetector,lastdetector)); | |
3144 | ||
3145 | // loop over detectors | |
3146 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3147 | ||
3148 | //Set the calibration object again | |
3149 | fCountDet = det; | |
3150 | SetCalROC(2); | |
3151 | ||
3152 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3153 | // Put them at 1 | |
3154 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),2); | |
3155 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3156 | ,(Int_t) GetStack(fCountDet) | |
3157 | ,(Int_t) GetSector(fCountDet),2); | |
3158 | // Reconstruct row min row max | |
3159 | ReconstructFitRowMinRowMax(idect,2); | |
3160 | ||
3161 | // Calcul the coef from the database choosen for the detector | |
3162 | CalculPRFCoefMean(); | |
3163 | ||
3164 | //stack 2, not stack 2 | |
3165 | Int_t factor = 0; | |
3166 | if(GetStack(fCountDet) == 2) factor = 12; | |
3167 | else factor = 16; | |
3168 | ||
3169 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3170 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3171 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3172 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); | |
3173 | } | |
3174 | } | |
3175 | ||
3176 | //Put default value negative | |
3177 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3178 | fCurrentCoefE = 0.0; | |
3179 | ||
3180 | // Fill the stuff | |
3181 | FillVectorFit(); | |
3182 | // Debug | |
3183 | if(fDebugLevel > 1){ | |
3184 | ||
3185 | if ( !fDebugStreamer ) { | |
3186 | //debug stream | |
3187 | TDirectory *backup = gDirectory; | |
3188 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); | |
3189 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3190 | } | |
3191 | ||
3192 | Int_t detector = fCountDet; | |
3193 | Int_t layer = GetLayer(fCountDet); | |
3194 | Int_t caligroup = idect; | |
3195 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
3196 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
3197 | Short_t colmin = fCalibraMode->GetColMin(2); | |
3198 | Short_t colmax = fCalibraMode->GetColMax(2); | |
3199 | Float_t widf = fCurrentCoef[0]; | |
3200 | Float_t wids = fCurrentCoef[1]; | |
3201 | Float_t widfE = fCurrentCoefE; | |
3202 | ||
3203 | (* fDebugStreamer) << "FillFillPRF"<< | |
3204 | "detector="<<detector<< | |
3205 | "layer="<<layer<< | |
3206 | "caligroup="<<caligroup<< | |
3207 | "rowmin="<<rowmin<< | |
3208 | "rowmax="<<rowmax<< | |
3209 | "colmin="<<colmin<< | |
3210 | "colmax="<<colmax<< | |
3211 | "widf="<<widf<< | |
3212 | "wids="<<wids<< | |
3213 | "widfE="<<widfE<< | |
3214 | "\n"; | |
3215 | } | |
3216 | // Reset | |
3217 | for (Int_t k = 0; k < 2304; k++) { | |
3218 | fCurrentCoefDetector[k] = 0.0; | |
3219 | } | |
3220 | ||
3221 | }// loop detector | |
3222 | AliDebug(2,Form("Check the count now: fCountDet %d",fCountDet)); | |
3223 | } | |
3a0f6479 | 3224 | else { |
3225 | ||
3226 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" | |
3227 | ,idect-(fCount-(fCalibraMode->GetNfragZ(2)*fCalibraMode->GetNfragRphi(2))),fCountDet)); | |
3228 | ||
3229 | CalculPRFCoefMean(); | |
3230 | ||
053767a4 | 3231 | // stack 2 and not stack 2 |
3a0f6479 | 3232 | Int_t factor = 0; |
053767a4 | 3233 | if(GetStack(fCountDet) == 2) factor = 12; |
3a0f6479 | 3234 | else factor = 16; |
55a288e5 | 3235 | |
55a288e5 | 3236 | |
3a0f6479 | 3237 | // Fill the fCurrentCoefDetector |
3238 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3239 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
64942b85 | 3240 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = -TMath::Abs(fCurrentCoef[1]); |
55a288e5 | 3241 | } |
3242 | } | |
55a288e5 | 3243 | |
3a0f6479 | 3244 | // Put the default value |
64942b85 | 3245 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
3a0f6479 | 3246 | fCurrentCoefE = 0.0; |
3247 | ||
3248 | FillFillPRF(idect); | |
3249 | } | |
3250 | ||
3251 | return kTRUE; | |
55a288e5 | 3252 | |
3a0f6479 | 3253 | } |
3254 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3255 | Bool_t AliTRDCalibraFit::NotEnoughStatisticLinearFitter() | |
55a288e5 | 3256 | { |
3257 | // | |
3a0f6479 | 3258 | // For the case where there are not enough entries in the histograms |
3259 | // of the calibration group, the value present in the choosen database | |
3260 | // will be put. A negativ sign enables to know that a fit was not possible. | |
3261 | // | |
3262 | ||
3263 | // Calcul the coef from the database choosen | |
3264 | CalculVdriftLorentzCoef(); | |
3265 | ||
3266 | Int_t factor = 0; | |
053767a4 | 3267 | if(GetStack(fCountDet) == 2) factor = 1728; |
3a0f6479 | 3268 | else factor = 2304; |
3269 | ||
3270 | ||
3271 | // Fill the fCurrentCoefDetector | |
3272 | for (Int_t k = 0; k < factor; k++) { | |
3273 | fCurrentCoefDetector[k] = -TMath::Abs(fCurrentCoef[1]); | |
3274 | // should be negative | |
3275 | fCurrentCoefDetector2[k] = +TMath::Abs(fCurrentCoef2[1]); | |
55a288e5 | 3276 | } |
3a0f6479 | 3277 | |
3278 | ||
3279 | //Put default opposite sign | |
3280 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
3281 | fCurrentCoefE = 0.0; | |
3282 | fCurrentCoef2[0] = +TMath::Abs(fCurrentCoef2[1]); | |
3283 | fCurrentCoefE2 = 0.0; | |
3284 | ||
3285 | FillFillLinearFitter(); | |
3286 | ||
3287 | return kTRUE; | |
55a288e5 | 3288 | } |
3289 | ||
3a0f6479 | 3290 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3291 | Bool_t AliTRDCalibraFit::FillInfosFitCH(Int_t idect) | |
55a288e5 | 3292 | { |
3293 | // | |
3a0f6479 | 3294 | // Fill the coefficients found with the fits or other |
3295 | // methods from the Fit functions | |
3296 | // | |
3297 | ||
3298 | if (fDebugLevel != 1) { | |
64942b85 | 3299 | if (fNbDet > 0){ |
3300 | Int_t firstdetector = fCountDet; | |
3301 | Int_t lastdetector = fCountDet+fNbDet; | |
3302 | AliInfo(Form("The element %d containing the detectors %d to %d has been fitted" | |
3303 | ,idect,firstdetector,lastdetector)); | |
3304 | // loop over detectors | |
3305 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3306 | ||
3307 | //Set the calibration object again | |
3308 | fCountDet = det; | |
3309 | SetCalROC(0); | |
3310 | ||
3311 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3312 | // Put them at 1 | |
3313 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),0); | |
3314 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3315 | ,(Int_t) GetStack(fCountDet) | |
3316 | ,(Int_t) GetSector(fCountDet),0); | |
3317 | // Reconstruct row min row max | |
3318 | ReconstructFitRowMinRowMax(idect,0); | |
3319 | ||
3320 | // Calcul the coef from the database choosen for the detector | |
3321 | if(fCurrentCoef[0] < 0.0) CalculChargeCoefMean(kFALSE); | |
3322 | else CalculChargeCoefMean(kTRUE); | |
3323 | ||
3324 | //stack 2, not stack 2 | |
3325 | Int_t factor = 0; | |
3326 | if(GetStack(fCountDet) == 2) factor = 12; | |
3327 | else factor = 16; | |
3328 | ||
3329 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3330 | Double_t coeftoput = 1.0; | |
3331 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3332 | else coeftoput = fCurrentCoef[0]; | |
3333 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3334 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3335 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3336 | } | |
3337 | } | |
3338 | ||
3339 | // Fill the stuff | |
3340 | FillVectorFit(); | |
3341 | // Debug | |
3342 | if(fDebugLevel > 1){ | |
3343 | ||
3344 | if ( !fDebugStreamer ) { | |
3345 | //debug stream | |
3346 | TDirectory *backup = gDirectory; | |
3347 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); | |
3348 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3349 | } | |
3350 | ||
3351 | Int_t detector = fCountDet; | |
3352 | Int_t caligroup = idect; | |
3353 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
3354 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
3355 | Short_t colmin = fCalibraMode->GetColMin(0); | |
3356 | Short_t colmax = fCalibraMode->GetColMax(0); | |
3357 | Float_t gf = fCurrentCoef[0]; | |
3358 | Float_t gfs = fCurrentCoef[1]; | |
3359 | Float_t gfE = fCurrentCoefE; | |
3360 | ||
3361 | (*fDebugStreamer) << "FillFillCH" << | |
3362 | "detector=" << detector << | |
3363 | "caligroup=" << caligroup << | |
3364 | "rowmin=" << rowmin << | |
3365 | "rowmax=" << rowmax << | |
3366 | "colmin=" << colmin << | |
3367 | "colmax=" << colmax << | |
3368 | "gf=" << gf << | |
3369 | "gfs=" << gfs << | |
3370 | "gfE=" << gfE << | |
3371 | "\n"; | |
3372 | ||
3373 | } | |
3374 | // Reset | |
3375 | for (Int_t k = 0; k < 2304; k++) { | |
3376 | fCurrentCoefDetector[k] = 0.0; | |
3377 | } | |
3378 | ||
3379 | }// loop detector | |
3380 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3381 | } | |
3382 | else{ | |
3383 | ||
3384 | Int_t factor = 0; | |
3385 | if(GetStack(fCountDet) == 2) factor = 12; | |
3386 | else factor = 16; | |
3387 | ||
3388 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3389 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3390 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3391 | } | |
3a0f6479 | 3392 | } |
64942b85 | 3393 | |
3394 | FillFillCH(idect); | |
55a288e5 | 3395 | } |
3396 | } | |
55a288e5 | 3397 | |
3a0f6479 | 3398 | return kTRUE; |
3399 | ||
3400 | } | |
3401 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
64942b85 | 3402 | Bool_t AliTRDCalibraFit::FillInfosFitPH(Int_t idect,Double_t nentries) |
55a288e5 | 3403 | { |
3404 | // | |
3a0f6479 | 3405 | // Fill the coefficients found with the fits or other |
3406 | // methods from the Fit functions | |
3407 | // | |
3408 | ||
3409 | if (fDebugLevel != 1) { | |
64942b85 | 3410 | if (fNbDet > 0){ |
3411 | ||
3412 | Int_t firstdetector = fCountDet; | |
3413 | Int_t lastdetector = fCountDet+fNbDet; | |
3414 | AliInfo(Form("The element %d containing the detectors %d to %d has been fitted" | |
3415 | ,idect,firstdetector,lastdetector)); | |
3416 | ||
3417 | // loop over detectors | |
3418 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3419 | ||
3420 | //Set the calibration object again | |
3421 | fCountDet = det; | |
3422 | SetCalROC(1); | |
3423 | ||
3424 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3425 | // Put them at 1 | |
3426 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),1); | |
3427 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3428 | ,(Int_t) GetStack(fCountDet) | |
3429 | ,(Int_t) GetSector(fCountDet),1); | |
3430 | // Reconstruct row min row max | |
3431 | ReconstructFitRowMinRowMax(idect,1); | |
3432 | ||
3433 | // Calcul the coef from the database choosen for the detector | |
3434 | CalculVdriftCoefMean(); | |
3435 | CalculT0CoefMean(); | |
3436 | ||
3437 | //stack 2, not stack 2 | |
3438 | Int_t factor = 0; | |
3439 | if(GetStack(fCountDet) == 2) factor = 12; | |
3440 | else factor = 16; | |
3441 | ||
3442 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3443 | Double_t coeftoput = 1.5; | |
3444 | Double_t coeftoput2 = 0.0; | |
3445 | ||
3446 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3447 | else coeftoput = fCurrentCoef[0]; | |
3448 | ||
3449 | if(fCurrentCoef2[0] > 70.0) coeftoput2 = fCurrentCoef2[1] + 100.0; | |
3450 | else coeftoput2 = fCurrentCoef2[0]; | |
3451 | ||
3452 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3453 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3454 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3455 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = coeftoput2; | |
3456 | } | |
3457 | } | |
3458 | ||
3459 | // Fill the stuff | |
3460 | FillVectorFit(); | |
3461 | FillVectorFit2(); | |
3462 | // Debug | |
3463 | if(fDebugLevel > 1){ | |
3464 | ||
3465 | if ( !fDebugStreamer ) { | |
3466 | //debug stream | |
3467 | TDirectory *backup = gDirectory; | |
3468 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); | |
3469 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3470 | } | |
3471 | ||
3472 | ||
3473 | Int_t detector = fCountDet; | |
3474 | Int_t caligroup = idect; | |
3475 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
3476 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
3477 | Short_t colmin = fCalibraMode->GetColMin(1); | |
3478 | Short_t colmax = fCalibraMode->GetColMax(1); | |
3479 | Float_t vf = fCurrentCoef[0]; | |
3480 | Float_t vs = fCurrentCoef[1]; | |
3481 | Float_t vfE = fCurrentCoefE; | |
3482 | Float_t t0f = fCurrentCoef2[0]; | |
3483 | Float_t t0s = fCurrentCoef2[1]; | |
3484 | Float_t t0E = fCurrentCoefE2; | |
3485 | ||
3486 | ||
3487 | ||
3488 | (* fDebugStreamer) << "FillFillPH"<< | |
3489 | "detector="<<detector<< | |
3490 | "nentries="<<nentries<< | |
3491 | "caligroup="<<caligroup<< | |
3492 | "rowmin="<<rowmin<< | |
3493 | "rowmax="<<rowmax<< | |
3494 | "colmin="<<colmin<< | |
3495 | "colmax="<<colmax<< | |
3496 | "vf="<<vf<< | |
3497 | "vs="<<vs<< | |
3498 | "vfE="<<vfE<< | |
3499 | "t0f="<<t0f<< | |
3500 | "t0s="<<t0s<< | |
3501 | "t0E="<<t0E<< | |
3502 | "\n"; | |
3503 | } | |
3504 | // Reset | |
3505 | for (Int_t k = 0; k < 2304; k++) { | |
3506 | fCurrentCoefDetector[k] = 0.0; | |
3507 | fCurrentCoefDetector2[k] = 0.0; | |
3508 | } | |
3509 | ||
3510 | }// loop detector | |
3511 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3512 | } | |
3513 | else { | |
3514 | ||
3515 | Int_t factor = 0; | |
3516 | if(GetStack(fCountDet) == 2) factor = 12; | |
3517 | else factor = 16; | |
3518 | ||
3519 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3520 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3521 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3522 | fCurrentCoefDetector2[(Int_t)(j*factor+k)] = fCurrentCoef2[0]; | |
3523 | } | |
3524 | } | |
3525 | ||
3526 | FillFillPH(idect,nentries); | |
3527 | } | |
55a288e5 | 3528 | } |
3a0f6479 | 3529 | return kTRUE; |
55a288e5 | 3530 | } |
3a0f6479 | 3531 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ |
3532 | Bool_t AliTRDCalibraFit::FillInfosFitPRF(Int_t idect) | |
55a288e5 | 3533 | { |
3534 | // | |
3a0f6479 | 3535 | // Fill the coefficients found with the fits or other |
3536 | // methods from the Fit functions | |
55a288e5 | 3537 | // |
3a0f6479 | 3538 | |
3539 | if (fDebugLevel != 1) { | |
64942b85 | 3540 | if (fNbDet > 0){ |
3a0f6479 | 3541 | |
64942b85 | 3542 | Int_t firstdetector = fCountDet; |
3543 | Int_t lastdetector = fCountDet+fNbDet; | |
3544 | AliInfo(Form("The element %d containing the detectors %d to %d has been fitted" | |
3545 | ,idect,firstdetector,lastdetector)); | |
3546 | ||
3547 | // loop over detectors | |
3548 | for(Int_t det = firstdetector; det < lastdetector; det++){ | |
3549 | ||
3550 | //Set the calibration object again | |
3551 | fCountDet = det; | |
3552 | SetCalROC(2); | |
3553 | ||
3554 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
3555 | // Put them at 1 | |
3556 | fCalibraMode->ModePadCalibration((Int_t) GetStack(fCountDet),2); | |
3557 | fCalibraMode->ModePadFragmentation((Int_t) GetLayer(fCountDet) | |
3558 | ,(Int_t) GetStack(fCountDet) | |
3559 | ,(Int_t) GetSector(fCountDet),2); | |
3560 | // Reconstruct row min row max | |
3561 | ReconstructFitRowMinRowMax(idect,2); | |
3562 | ||
3563 | // Calcul the coef from the database choosen for the detector | |
3564 | CalculPRFCoefMean(); | |
3565 | ||
3566 | //stack 2, not stack 2 | |
3567 | Int_t factor = 0; | |
3568 | if(GetStack(fCountDet) == 2) factor = 12; | |
3569 | else factor = 16; | |
3570 | ||
3571 | // Fill the fCurrentCoefDetector with negative value to say: not fitted | |
3572 | Double_t coeftoput = 1.0; | |
3573 | if(fCurrentCoef[0] < 0.0) coeftoput = - TMath::Abs(fCurrentCoef[1]); | |
3574 | else coeftoput = fCurrentCoef[0]; | |
3575 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3576 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3577 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = coeftoput; | |
3578 | } | |
3579 | } | |
3580 | ||
3581 | // Fill the stuff | |
3582 | FillVectorFit(); | |
3583 | // Debug | |
3584 | if(fDebugLevel > 1){ | |
3585 | ||
3586 | if ( !fDebugStreamer ) { | |
3587 | //debug stream | |
3588 | TDirectory *backup = gDirectory; | |
3589 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); | |
3590 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer | |
3591 | } | |
3592 | ||
3593 | Int_t detector = fCountDet; | |
3594 | Int_t layer = GetLayer(fCountDet); | |
3595 | Int_t caligroup = idect; | |
3596 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
3597 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
3598 | Short_t colmin = fCalibraMode->GetColMin(2); | |
3599 | Short_t colmax = fCalibraMode->GetColMax(2); | |
3600 | Float_t widf = fCurrentCoef[0]; | |
3601 | Float_t wids = fCurrentCoef[1]; | |
3602 | Float_t widfE = fCurrentCoefE; | |
3603 | ||
3604 | (* fDebugStreamer) << "FillFillPRF"<< | |
3605 | "detector="<<detector<< | |
3606 | "layer="<<layer<< | |
3607 | "caligroup="<<caligroup<< | |
3608 | "rowmin="<<rowmin<< | |
3609 | "rowmax="<<rowmax<< | |
3610 | "colmin="<<colmin<< | |
3611 | "colmax="<<colmax<< | |
3612 | "widf="<<widf<< | |
3613 | "wids="<<wids<< | |
3614 | "widfE="<<widfE<< | |
3615 | "\n"; | |
3616 | } | |
3617 | // Reset | |
3618 | for (Int_t k = 0; k < 2304; k++) { | |
3619 | fCurrentCoefDetector[k] = 0.0; | |
3620 | } | |
3621 | ||
3622 | }// loop detector | |
3623 | //printf("Check the count now: fCountDet %d\n",fCountDet); | |
3624 | } | |
3625 | else { | |
3626 | ||
3627 | Int_t factor = 0; | |
3628 | if(GetStack(fCountDet) == 2) factor = 12; | |
3629 | else factor = 16; | |
3630 | ||
3631 | // Pointer to the branch | |
3632 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3633 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
3634 | fCurrentCoefDetector[(Int_t)(j*factor+k)] = fCurrentCoef[0]; | |
3635 | } | |
3a0f6479 | 3636 | } |
64942b85 | 3637 | FillFillPRF(idect); |
55a288e5 | 3638 | } |
3639 | } | |
64942b85 | 3640 | |
3a0f6479 | 3641 | return kTRUE; |
55a288e5 | 3642 | |
3a0f6479 | 3643 | } |
3644 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3645 | Bool_t AliTRDCalibraFit::FillInfosFitLinearFitter() | |
55a288e5 | 3646 | { |
3647 | // | |
3a0f6479 | 3648 | // Fill the coefficients found with the fits or other |
3649 | // methods from the Fit functions | |
55a288e5 | 3650 | // |
3a0f6479 | 3651 | |
3652 | Int_t factor = 0; | |
053767a4 | 3653 | if(GetStack(fCountDet) == 2) factor = 1728; |
3a0f6479 | 3654 | else factor = 2304; |
3655 | ||
3656 | // Pointer to the branch | |
3657 | for (Int_t k = 0; k < factor; k++) { | |
3658 | fCurrentCoefDetector[k] = fCurrentCoef[0]; | |
3659 | fCurrentCoefDetector2[k] = fCurrentCoef2[0]; | |
55a288e5 | 3660 | } |
3a0f6479 | 3661 | |
3662 | FillFillLinearFitter(); | |
3663 | ||
3664 | return kTRUE; | |
55a288e5 | 3665 | |
3666 | } | |
3a0f6479 | 3667 | //________________________________________________________________________________ |
3668 | void AliTRDCalibraFit::FillFillCH(Int_t idect) | |
55a288e5 | 3669 | { |
3670 | // | |
3a0f6479 | 3671 | // DebugStream and fVectorFit |
55a288e5 | 3672 | // |
3673 | ||
3a0f6479 | 3674 | // End of one detector |
3675 | if ((idect == (fCount-1))) { | |
3676 | FillVectorFit(); | |
3677 | // Reset | |
3678 | for (Int_t k = 0; k < 2304; k++) { | |
3679 | fCurrentCoefDetector[k] = 0.0; | |
3680 | } | |
55a288e5 | 3681 | } |
3682 | ||
3a0f6479 | 3683 | if(fDebugLevel > 1){ |
55a288e5 | 3684 | |
3a0f6479 | 3685 | if ( !fDebugStreamer ) { |
3686 | //debug stream | |
3687 | TDirectory *backup = gDirectory; | |
4aad967c | 3688 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); |
3a0f6479 | 3689 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3690 | } | |
3691 | ||
3692 | Int_t detector = fCountDet; | |
3693 | Int_t caligroup = idect; | |
3694 | Short_t rowmin = fCalibraMode->GetRowMin(0); | |
3695 | Short_t rowmax = fCalibraMode->GetRowMax(0); | |
3696 | Short_t colmin = fCalibraMode->GetColMin(0); | |
3697 | Short_t colmax = fCalibraMode->GetColMax(0); | |
3698 | Float_t gf = fCurrentCoef[0]; | |
3699 | Float_t gfs = fCurrentCoef[1]; | |
3700 | Float_t gfE = fCurrentCoefE; | |
3701 | ||
413153cb | 3702 | (*fDebugStreamer) << "FillFillCH" << |
3a0f6479 | 3703 | "detector=" << detector << |
3704 | "caligroup=" << caligroup << | |
3705 | "rowmin=" << rowmin << | |
3706 | "rowmax=" << rowmax << | |
3707 | "colmin=" << colmin << | |
3708 | "colmax=" << colmax << | |
3709 | "gf=" << gf << | |
3710 | "gfs=" << gfs << | |
3711 | "gfE=" << gfE << | |
3712 | "\n"; | |
3713 | ||
3714 | } | |
3715 | } | |
3716 | //________________________________________________________________________________ | |
64942b85 | 3717 | void AliTRDCalibraFit::FillFillPH(Int_t idect,Double_t nentries) |
55a288e5 | 3718 | { |
3719 | // | |
3a0f6479 | 3720 | // DebugStream and fVectorFit and fVectorFit2 |
55a288e5 | 3721 | // |
3a0f6479 | 3722 | |
3723 | // End of one detector | |
3724 | if ((idect == (fCount-1))) { | |
3725 | FillVectorFit(); | |
3726 | FillVectorFit2(); | |
3727 | // Reset | |
3728 | for (Int_t k = 0; k < 2304; k++) { | |
3729 | fCurrentCoefDetector[k] = 0.0; | |
3730 | fCurrentCoefDetector2[k] = 0.0; | |
3731 | } | |
3732 | } | |
3733 | ||
3734 | if(fDebugLevel > 1){ | |
3735 | ||
3736 | if ( !fDebugStreamer ) { | |
3737 | //debug stream | |
3738 | TDirectory *backup = gDirectory; | |
4aad967c | 3739 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPH.root"); |
3a0f6479 | 3740 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3741 | } | |
3742 | ||
3743 | ||
3744 | Int_t detector = fCountDet; | |
3745 | Int_t caligroup = idect; | |
3746 | Short_t rowmin = fCalibraMode->GetRowMin(1); | |
3747 | Short_t rowmax = fCalibraMode->GetRowMax(1); | |
3748 | Short_t colmin = fCalibraMode->GetColMin(1); | |
3749 | Short_t colmax = fCalibraMode->GetColMax(1); | |
3750 | Float_t vf = fCurrentCoef[0]; | |
3751 | Float_t vs = fCurrentCoef[1]; | |
3752 | Float_t vfE = fCurrentCoefE; | |
3753 | Float_t t0f = fCurrentCoef2[0]; | |
3754 | Float_t t0s = fCurrentCoef2[1]; | |
3755 | Float_t t0E = fCurrentCoefE2; | |
3756 | ||
55a288e5 | 3757 | |
3a0f6479 | 3758 | |
413153cb | 3759 | (* fDebugStreamer) << "FillFillPH"<< |
3a0f6479 | 3760 | "detector="<<detector<< |
64942b85 | 3761 | "nentries="<<nentries<< |
3a0f6479 | 3762 | "caligroup="<<caligroup<< |
3763 | "rowmin="<<rowmin<< | |
3764 | "rowmax="<<rowmax<< | |
3765 | "colmin="<<colmin<< | |
3766 | "colmax="<<colmax<< | |
3767 | "vf="<<vf<< | |
3768 | "vs="<<vs<< | |
3769 | "vfE="<<vfE<< | |
3770 | "t0f="<<t0f<< | |
3771 | "t0s="<<t0s<< | |
3772 | "t0E="<<t0E<< | |
3773 | "\n"; | |
3774 | } | |
55a288e5 | 3775 | |
3776 | } | |
3a0f6479 | 3777 | //________________________________________________________________________________ |
3778 | void AliTRDCalibraFit::FillFillPRF(Int_t idect) | |
3779 | { | |
3780 | // | |
3781 | // DebugStream and fVectorFit | |
3782 | // | |
55a288e5 | 3783 | |
3a0f6479 | 3784 | // End of one detector |
3785 | if ((idect == (fCount-1))) { | |
3786 | FillVectorFit(); | |
3787 | // Reset | |
3788 | for (Int_t k = 0; k < 2304; k++) { | |
3789 | fCurrentCoefDetector[k] = 0.0; | |
3790 | } | |
3791 | } | |
3792 | ||
3793 | ||
3794 | if(fDebugLevel > 1){ | |
3795 | ||
3796 | if ( !fDebugStreamer ) { | |
3797 | //debug stream | |
3798 | TDirectory *backup = gDirectory; | |
4aad967c | 3799 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 3800 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3801 | } | |
3802 | ||
3803 | Int_t detector = fCountDet; | |
053767a4 | 3804 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 3805 | Int_t caligroup = idect; |
3806 | Short_t rowmin = fCalibraMode->GetRowMin(2); | |
3807 | Short_t rowmax = fCalibraMode->GetRowMax(2); | |
3808 | Short_t colmin = fCalibraMode->GetColMin(2); | |
3809 | Short_t colmax = fCalibraMode->GetColMax(2); | |
3810 | Float_t widf = fCurrentCoef[0]; | |
3811 | Float_t wids = fCurrentCoef[1]; | |
3812 | Float_t widfE = fCurrentCoefE; | |
3813 | ||
413153cb | 3814 | (* fDebugStreamer) << "FillFillPRF"<< |
3a0f6479 | 3815 | "detector="<<detector<< |
053767a4 | 3816 | "layer="<<layer<< |
3a0f6479 | 3817 | "caligroup="<<caligroup<< |
3818 | "rowmin="<<rowmin<< | |
3819 | "rowmax="<<rowmax<< | |
3820 | "colmin="<<colmin<< | |
3821 | "colmax="<<colmax<< | |
3822 | "widf="<<widf<< | |
3823 | "wids="<<wids<< | |
3824 | "widfE="<<widfE<< | |
3825 | "\n"; | |
3826 | } | |
3827 | ||
3828 | } | |
3829 | //________________________________________________________________________________ | |
3830 | void AliTRDCalibraFit::FillFillLinearFitter() | |
55a288e5 | 3831 | { |
3832 | // | |
3a0f6479 | 3833 | // DebugStream and fVectorFit |
55a288e5 | 3834 | // |
3a0f6479 | 3835 | |
3836 | // End of one detector | |
3837 | FillVectorFit(); | |
3838 | FillVectorFit2(); | |
3839 | ||
3840 | ||
3841 | // Reset | |
3842 | for (Int_t k = 0; k < 2304; k++) { | |
3843 | fCurrentCoefDetector[k] = 0.0; | |
3844 | fCurrentCoefDetector2[k] = 0.0; | |
55a288e5 | 3845 | } |
3a0f6479 | 3846 | |
55a288e5 | 3847 | |
3a0f6479 | 3848 | if(fDebugLevel > 1){ |
55a288e5 | 3849 | |
3a0f6479 | 3850 | if ( !fDebugStreamer ) { |
3851 | //debug stream | |
3852 | TDirectory *backup = gDirectory; | |
4aad967c | 3853 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitLinearFitter.root"); |
3a0f6479 | 3854 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
3855 | } | |
3856 | ||
3857 | //Debug: comparaison of the different methods (okey for first time but not for iterative procedure) | |
053767a4 | 3858 | AliTRDpadPlane *padplane = fGeo->GetPadPlane(GetLayer(fCountDet),GetStack(fCountDet)); |
3a0f6479 | 3859 | Float_t rowmd = (padplane->GetRow0()+padplane->GetRowEnd())/2.; |
053767a4 | 3860 | Float_t r = AliTRDgeometry::GetTime0(GetLayer(fCountDet)); |
3a0f6479 | 3861 | Float_t tiltangle = padplane->GetTiltingAngle(); |
3862 | Int_t detector = fCountDet; | |
053767a4 | 3863 | Int_t stack = GetStack(fCountDet); |
3864 | Int_t layer = GetLayer(fCountDet); | |
3a0f6479 | 3865 | Float_t vf = fCurrentCoef[0]; |
3866 | Float_t vs = fCurrentCoef[1]; | |
3867 | Float_t vfE = fCurrentCoefE; | |
3868 | Float_t lorentzangler = fCurrentCoef2[0]; | |
e6381f8e | 3869 | Float_t elorentzangler = fCurrentCoefE2; |
3a0f6479 | 3870 | Float_t lorentzangles = fCurrentCoef2[1]; |
3871 | ||
413153cb | 3872 | (* fDebugStreamer) << "FillFillLinearFitter"<< |
3a0f6479 | 3873 | "detector="<<detector<< |
053767a4 | 3874 | "stack="<<stack<< |
3875 | "layer="<<layer<< | |
3a0f6479 | 3876 | "rowmd="<<rowmd<< |
3877 | "r="<<r<< | |
3878 | "tiltangle="<<tiltangle<< | |
3879 | "vf="<<vf<< | |
3880 | "vs="<<vs<< | |
3881 | "vfE="<<vfE<< | |
3882 | "lorentzangler="<<lorentzangler<< | |
e6381f8e | 3883 | "Elorentzangler="<<elorentzangler<< |
3a0f6479 | 3884 | "lorentzangles="<<lorentzangles<< |
3885 | "\n"; | |
3886 | } | |
3887 | ||
3888 | } | |
55a288e5 | 3889 | // |
3890 | //____________Calcul Coef Mean_________________________________________________ | |
3891 | // | |
55a288e5 | 3892 | //_____________________________________________________________________________ |
3a0f6479 | 3893 | Bool_t AliTRDCalibraFit::CalculT0CoefMean() |
55a288e5 | 3894 | { |
3895 | // | |
3896 | // For the detector Dect calcul the mean time 0 | |
3897 | // for the calibration group idect from the choosen database | |
3898 | // | |
3899 | ||
3a0f6479 | 3900 | fCurrentCoef2[1] = 0.0; |
3901 | if(fDebugLevel != 1){ | |
64942b85 | 3902 | if(((fCalibraMode->GetNz(1) > 0) || |
3903 | (fCalibraMode->GetNrphi(1) > 0)) && ((fCalibraMode->GetNz(1) != 10) && (fCalibraMode->GetNz(1) != 100))) { | |
3904 | ||
3a0f6479 | 3905 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { |
3906 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
3907 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); | |
55a288e5 | 3908 | } |
3a0f6479 | 3909 | } |
64942b85 | 3910 | |
3a0f6479 | 3911 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); |
64942b85 | 3912 | |
3a0f6479 | 3913 | } |
3914 | else { | |
64942b85 | 3915 | |
3a0f6479 | 3916 | if(!fAccCDB){ |
3917 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
3918 | } | |
3919 | else{ | |
64942b85 | 3920 | |
053767a4 | 3921 | for(Int_t row = 0; row < fGeo->GetRowMax(GetLayer(fCountDet),GetStack(fCountDet),GetSector(fCountDet)); row++){ |
3922 | for(Int_t col = 0; col < fGeo->GetColMax(GetLayer(fCountDet)); col++){ | |
3a0f6479 | 3923 | fCurrentCoef2[1] += (Float_t) (fCalROC2->GetValue(col,row)+fCalDet2->GetValue(fCountDet)); |
3924 | } | |
55a288e5 | 3925 | } |
053767a4 | 3926 | fCurrentCoef2[1] = fCurrentCoef2[1] / ((fGeo->GetRowMax(GetLayer(fCountDet),GetStack(fCountDet),GetSector(fCountDet)))*(fGeo->GetColMax(GetLayer(fCountDet)))); |
64942b85 | 3927 | |
55a288e5 | 3928 | } |
3929 | } | |
55a288e5 | 3930 | } |
55a288e5 | 3931 | return kTRUE; |
55a288e5 | 3932 | } |
3933 | ||
3934 | //_____________________________________________________________________________ | |
3a0f6479 | 3935 | Bool_t AliTRDCalibraFit::CalculChargeCoefMean(Bool_t vrai) |
55a288e5 | 3936 | { |
3937 | // | |
3938 | // For the detector Dect calcul the mean gain factor | |
3939 | // for the calibration group idect from the choosen database | |
3940 | // | |
3941 | ||
3a0f6479 | 3942 | fCurrentCoef[1] = 0.0; |
3943 | if(fDebugLevel != 1){ | |
64942b85 | 3944 | if (((fCalibraMode->GetNz(0) > 0) || |
3945 | (fCalibraMode->GetNrphi(0) > 0)) && ((fCalibraMode->GetNz(0) != 10) && (fCalibraMode->GetNz(0) != 100))) { | |
3a0f6479 | 3946 | for (Int_t row = fCalibraMode->GetRowMin(0); row < fCalibraMode->GetRowMax(0); row++) { |
3947 | for (Int_t col = fCalibraMode->GetColMin(0); col < fCalibraMode->GetColMax(0); col++) { | |
3948 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
3949 | if (vrai) fScaleFitFactor += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 3950 | } |
3951 | } | |
3a0f6479 | 3952 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0))); |
55a288e5 | 3953 | } |
3a0f6479 | 3954 | else { |
3955 | //Per detectors | |
3956 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
3957 | if (vrai) fScaleFitFactor += ((Float_t) fCalDet->GetValue(fCountDet))*(fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0))*(fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0)); | |
3958 | } | |
55a288e5 | 3959 | } |
55a288e5 | 3960 | return kTRUE; |
55a288e5 | 3961 | } |
55a288e5 | 3962 | //_____________________________________________________________________________ |
3a0f6479 | 3963 | Bool_t AliTRDCalibraFit::CalculPRFCoefMean() |
55a288e5 | 3964 | { |
3965 | // | |
3966 | // For the detector Dect calcul the mean sigma of pad response | |
3967 | // function for the calibration group idect from the choosen database | |
3968 | // | |
3a0f6479 | 3969 | |
3970 | fCurrentCoef[1] = 0.0; | |
3971 | if(fDebugLevel != 1){ | |
55a288e5 | 3972 | for (Int_t row = fCalibraMode->GetRowMin(2); row < fCalibraMode->GetRowMax(2); row++) { |
3973 | for (Int_t col = fCalibraMode->GetColMin(2); col < fCalibraMode->GetColMax(2); col++) { | |
3a0f6479 | 3974 | fCurrentCoef[1] += (Float_t) fCalROC->GetValue(col,row); |
55a288e5 | 3975 | } |
3976 | } | |
3a0f6479 | 3977 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(2)-fCalibraMode->GetColMin(2))*(fCalibraMode->GetRowMax(2)-fCalibraMode->GetRowMin(2))); |
55a288e5 | 3978 | } |
55a288e5 | 3979 | return kTRUE; |
55a288e5 | 3980 | } |
55a288e5 | 3981 | //_____________________________________________________________________________ |
3a0f6479 | 3982 | Bool_t AliTRDCalibraFit::CalculVdriftCoefMean() |
55a288e5 | 3983 | { |
3984 | // | |
3985 | // For the detector dect calcul the mean drift velocity for the | |
3986 | // calibration group idect from the choosen database | |
3987 | // | |
3988 | ||
3a0f6479 | 3989 | fCurrentCoef[1] = 0.0; |
3990 | if(fDebugLevel != 1){ | |
64942b85 | 3991 | if (((fCalibraMode->GetNz(1) > 0) || |
3992 | (fCalibraMode->GetNrphi(1) > 0)) && ((fCalibraMode->GetNz(1) != 10) && (fCalibraMode->GetNz(1) != 100))) { | |
3993 | ||
3a0f6479 | 3994 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { |
3995 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
3996 | fCurrentCoef[1] += (Float_t) (fCalROC->GetValue(col,row)*fCalDet->GetValue(fCountDet)); | |
55a288e5 | 3997 | } |
3998 | } | |
64942b85 | 3999 | |
3a0f6479 | 4000 | fCurrentCoef[1] = fCurrentCoef[1] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1))*(fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); |
64942b85 | 4001 | |
55a288e5 | 4002 | } |
3a0f6479 | 4003 | else { |
4004 | //per detectors | |
4005 | fCurrentCoef[1] = (Float_t) fCalDet->GetValue(fCountDet); | |
4006 | } | |
55a288e5 | 4007 | } |
55a288e5 | 4008 | return kTRUE; |
55a288e5 | 4009 | } |
3a0f6479 | 4010 | //_____________________________________________________________________________ |
4011 | Bool_t AliTRDCalibraFit::CalculVdriftLorentzCoef() | |
4012 | { | |
4013 | // | |
4014 | // For the detector fCountDet, mean drift velocity and tan lorentzangle | |
4015 | // | |
4016 | ||
4017 | fCurrentCoef[1] = fCalDet->GetValue(fCountDet); | |
4018 | fCurrentCoef2[1] = fCalDet2->GetValue(fCountDet); | |
55a288e5 | 4019 | |
3a0f6479 | 4020 | return kTRUE; |
4021 | } | |
55a288e5 | 4022 | //_____________________________________________________________________________ |
053767a4 | 4023 | Float_t AliTRDCalibraFit::GetPRFDefault(Int_t layer) const |
55a288e5 | 4024 | { |
4025 | // | |
4026 | // Default width of the PRF if there is no database as reference | |
4027 | // | |
053767a4 | 4028 | switch(layer) |
3a0f6479 | 4029 | { |
4030 | // default database | |
4031 | //case 0: return 0.515; | |
4032 | //case 1: return 0.502; | |
4033 | //case 2: return 0.491; | |
4034 | //case 3: return 0.481; | |
4035 | //case 4: return 0.471; | |
4036 | //case 5: return 0.463; | |
4037 | //default: return 0.0; | |
4038 | ||
4039 | // fit database | |
4040 | case 0: return 0.538429; | |
4041 | case 1: return 0.524302; | |
4042 | case 2: return 0.511591; | |
4043 | case 3: return 0.500140; | |
4044 | case 4: return 0.489821; | |
4045 | case 5: return 0.480524; | |
4046 | default: return 0.0; | |
55a288e5 | 4047 | } |
3a0f6479 | 4048 | } |
4049 | //________________________________________________________________________________ | |
4050 | void AliTRDCalibraFit::SetCalROC(Int_t i) | |
4051 | { | |
4052 | // | |
4053 | // Set the calib object for fCountDet | |
4054 | // | |
4055 | ||
4056 | Float_t value = 0.0; | |
4057 | ||
4058 | //Get the CalDet object | |
4059 | if(fAccCDB){ | |
4060 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
4061 | if (!cal) { | |
4062 | AliInfo("Could not get calibDB"); | |
4063 | return; | |
4064 | } | |
4065 | switch (i) | |
4066 | { | |
4067 | case 0: | |
64942b85 | 4068 | if( fCalROC ){ |
4069 | fCalROC->~AliTRDCalROC(); | |
4070 | new(fCalROC) AliTRDCalROC(*(cal->GetGainFactorROC(fCountDet))); | |
4071 | }else fCalROC = new AliTRDCalROC(*(cal->GetGainFactorROC(fCountDet))); | |
3a0f6479 | 4072 | break; |
4073 | case 1: | |
64942b85 | 4074 | if( fCalROC ){ |
4075 | fCalROC->~AliTRDCalROC(); | |
4076 | new(fCalROC) AliTRDCalROC(*(cal->GetVdriftROC(fCountDet))); | |
4077 | }else fCalROC = new AliTRDCalROC(*(cal->GetVdriftROC(fCountDet))); | |
4078 | if( fCalROC2 ){ | |
4079 | fCalROC2->~AliTRDCalROC(); | |
4080 | new(fCalROC2) AliTRDCalROC(*(cal->GetT0ROC(fCountDet))); | |
4081 | }else fCalROC2 = new AliTRDCalROC(*(cal->GetT0ROC(fCountDet))); | |
3a0f6479 | 4082 | break; |
4083 | case 2: | |
64942b85 | 4084 | if( fCalROC ){ |
4085 | fCalROC->~AliTRDCalROC(); | |
4086 | new(fCalROC) AliTRDCalROC(*(cal->GetPRFROC(fCountDet))); | |
4087 | }else fCalROC = new AliTRDCalROC(*(cal->GetPRFROC(fCountDet))); | |
4088 | break; | |
3a0f6479 | 4089 | default: return; |
4090 | } | |
55a288e5 | 4091 | } |
3a0f6479 | 4092 | else{ |
4093 | switch (i) | |
4094 | { | |
4095 | case 0: | |
4096 | if(fCalROC) delete fCalROC; | |
053767a4 | 4097 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); |
3a0f6479 | 4098 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
4099 | fCalROC->SetValue(k,1.0); | |
4100 | } | |
4101 | break; | |
4102 | case 1: | |
4103 | if(fCalROC) delete fCalROC; | |
4104 | if(fCalROC2) delete fCalROC2; | |
053767a4 | 4105 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); |
4106 | fCalROC2 = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); | |
3a0f6479 | 4107 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
4108 | fCalROC->SetValue(k,1.0); | |
4109 | fCalROC2->SetValue(k,0.0); | |
4110 | } | |
4111 | break; | |
4112 | case 2: | |
4113 | if(fCalROC) delete fCalROC; | |
053767a4 | 4114 | value = GetPRFDefault(GetLayer(fCountDet)); |
4115 | fCalROC = new AliTRDCalROC(GetLayer(fCountDet),GetStack(fCountDet)); | |
3a0f6479 | 4116 | for(Int_t k = 0; k < fCalROC->GetNchannels(); k++){ |
4117 | fCalROC->SetValue(k,value); | |
4118 | } | |
4119 | break; | |
4120 | default: return; | |
4121 | } | |
55a288e5 | 4122 | } |
4123 | ||
4124 | } | |
55a288e5 | 4125 | //____________Fit Methods______________________________________________________ |
4126 | ||
4127 | //_____________________________________________________________________________ | |
3a0f6479 | 4128 | void AliTRDCalibraFit::FitPente(TH1* projPH) |
55a288e5 | 4129 | { |
4130 | // | |
4131 | // Slope methode for the drift velocity | |
4132 | // | |
4133 | ||
4134 | // Constants | |
4135 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 4136 | Int_t binmax = 0; |
4137 | Int_t binmin = 0; | |
4138 | fPhd[0] = 0.0; | |
4139 | fPhd[1] = 0.0; | |
4140 | fPhd[2] = 0.0; | |
4141 | Int_t ju = 0; | |
4142 | fCurrentCoefE = 0.0; | |
4143 | fCurrentCoefE2 = 0.0; | |
4144 | fCurrentCoef[0] = 0.0; | |
4145 | fCurrentCoef2[0] = 0.0; | |
4146 | TLine *line = new TLine(); | |
55a288e5 | 4147 | |
4148 | // Some variables | |
4149 | TAxis *xpph = projPH->GetXaxis(); | |
4150 | Int_t nbins = xpph->GetNbins(); | |
4151 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
4152 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
4153 | Double_t widbins = (upedge - lowedge) / nbins; | |
4154 | Double_t limit = upedge + 0.5 * widbins; | |
4155 | Bool_t put = kTRUE; | |
4156 | ||
4157 | // Beginning of the signal | |
4158 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
4159 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
4160 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4161 | } | |
55a288e5 | 4162 | binmax = (Int_t) pentea->GetMaximumBin(); |
55a288e5 | 4163 | if (binmax <= 1) { |
4164 | binmax = 2; | |
4165 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4166 | } | |
4167 | if (binmax >= nbins) { | |
4168 | binmax = nbins-1; | |
4169 | put = kFALSE; | |
4170 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
4171 | } | |
4172 | pentea->Fit("pol2","0MR","",TMath::Max(pentea->GetBinCenter(binmax-1),0.0),pentea->GetBinCenter(binmax+1)); | |
4173 | Float_t l3P1am = pentea->GetFunction("pol2")->GetParameter(1); | |
4174 | Float_t l3P2am = pentea->GetFunction("pol2")->GetParameter(2); | |
4175 | Float_t l3P1amE = pentea->GetFunction("pol2")->GetParError(1); | |
4176 | Float_t l3P2amE = pentea->GetFunction("pol2")->GetParError(2); | |
daa7dc79 | 4177 | if (TMath::Abs(l3P2am) > 0.00000001) { |
55a288e5 | 4178 | fPhd[0] = -(l3P1am / (2 * l3P2am)); |
4179 | } | |
4180 | if(!fTakeTheMaxPH){ | |
daa7dc79 | 4181 | if((TMath::Abs(l3P1am) > 0.0000000001) && (TMath::Abs(l3P2am) > 0.00000000001)){ |
3a0f6479 | 4182 | fCurrentCoefE2 = (l3P1amE/l3P1am + l3P2amE/l3P2am)*fPhd[0]; |
55a288e5 | 4183 | } |
4184 | } | |
55a288e5 | 4185 | // Amplification region |
4186 | binmax = 0; | |
4187 | ju = 0; | |
4188 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 4189 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 4190 | binmax = kbin; |
4191 | ju = 1; | |
4192 | } | |
4193 | } | |
55a288e5 | 4194 | if (binmax <= 1) { |
4195 | binmax = 2; | |
4196 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4197 | } | |
4198 | if (binmax >= nbins) { | |
4199 | binmax = nbins-1; | |
4200 | put = kFALSE; | |
4201 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
4202 | } | |
4203 | projPH->Fit("pol2","0MR","",TMath::Max(projPH->GetBinCenter(binmax-1),0.0),projPH->GetBinCenter(binmax+1)); | |
4204 | Float_t l3P1amf = projPH->GetFunction("pol2")->GetParameter(1); | |
4205 | Float_t l3P2amf = projPH->GetFunction("pol2")->GetParameter(2); | |
4206 | Float_t l3P1amfE = projPH->GetFunction("pol2")->GetParError(1); | |
4207 | Float_t l3P2amfE = projPH->GetFunction("pol2")->GetParError(2); | |
daa7dc79 | 4208 | if (TMath::Abs(l3P2amf) > 0.00000000001) { |
55a288e5 | 4209 | fPhd[1] = -(l3P1amf / (2 * l3P2amf)); |
4210 | } | |
daa7dc79 | 4211 | if((TMath::Abs(l3P1amf) > 0.0000000001) && (TMath::Abs(l3P2amf) > 0.000000001)){ |
3a0f6479 | 4212 | fCurrentCoefE = (l3P1amfE/l3P1amf + l3P2amfE/l3P2amf)*fPhd[1]; |
55a288e5 | 4213 | } |
4214 | if(fTakeTheMaxPH){ | |
3a0f6479 | 4215 | fCurrentCoefE2 = fCurrentCoefE; |
55a288e5 | 4216 | } |
55a288e5 | 4217 | // Drift region |
4218 | TH1D *pente = new TH1D("pente","pente",projPH->GetNbinsX(),0,(Float_t) limit); | |
4219 | for (Int_t k = TMath::Min(binmax+4,projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
4220 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4221 | } | |
4222 | binmin = 0; | |
4223 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
4224 | if (binmin <= 1) { | |
4225 | binmin = 2; | |
4226 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4227 | } | |
4228 | if (binmin >= nbins) { | |
4229 | binmin = nbins-1; | |
4230 | put = kFALSE; | |
4231 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
4232 | } | |
55a288e5 | 4233 | pente->Fit("pol2" |
4234 | ,"0MR" | |
4235 | ,"" | |
4236 | ,TMath::Max(pente->GetBinCenter(binmin-1), 0.0) | |
4237 | ,TMath::Min(pente->GetBinCenter(binmin+1),(Double_t) limit)); | |
4238 | Float_t l3P1dr = pente->GetFunction("pol2")->GetParameter(1); | |
4239 | Float_t l3P2dr = pente->GetFunction("pol2")->GetParameter(2); | |
4240 | Float_t l3P1drE = pente->GetFunction("pol2")->GetParError(1); | |
4241 | Float_t l3P2drE = pente->GetFunction("pol2")->GetParError(2); | |
daa7dc79 | 4242 | if (TMath::Abs(l3P2dr) > 0.00000001) { |
55a288e5 | 4243 | fPhd[2] = -(l3P1dr / (2 * l3P2dr)); |
4244 | } | |
daa7dc79 | 4245 | if((TMath::Abs(l3P1dr) > 0.0000000001) && (TMath::Abs(l3P2dr) > 0.00000000001)){ |
3a0f6479 | 4246 | fCurrentCoefE += (l3P1drE/l3P1dr + l3P2drE/l3P2dr)*fPhd[2]; |
55a288e5 | 4247 | } |
413153cb | 4248 | Float_t fPhdt0 = 0.0; |
4249 | Float_t t0Shift = 0.0; | |
4250 | if(fTakeTheMaxPH) { | |
4251 | fPhdt0 = fPhd[1]; | |
4252 | t0Shift = fT0Shift1; | |
4253 | } | |
4254 | else { | |
4255 | fPhdt0 = fPhd[0]; | |
4256 | t0Shift = fT0Shift0; | |
4257 | } | |
55a288e5 | 4258 | |
4259 | if ((fPhd[2] > fPhd[0]) && | |
4260 | (fPhd[2] > fPhd[1]) && | |
4261 | (fPhd[1] > fPhd[0]) && | |
4262 | (put)) { | |
3a0f6479 | 4263 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
4264 | fNumberFitSuccess++; | |
4265 | ||
55a288e5 | 4266 | if (fPhdt0 >= 0.0) { |
413153cb | 4267 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; |
3a0f6479 | 4268 | if (fCurrentCoef2[0] < -1.0) { |
64942b85 | 4269 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4270 | } |
4271 | } | |
4272 | else { | |
64942b85 | 4273 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4274 | } |
3a0f6479 | 4275 | |
55a288e5 | 4276 | } |
4277 | else { | |
3a0f6479 | 4278 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
64942b85 | 4279 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4280 | } |
4281 | ||
3a0f6479 | 4282 | if (fDebugLevel == 1) { |
55a288e5 | 4283 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
4284 | cpentei->cd(); | |
4285 | projPH->Draw(); | |
4286 | line->SetLineColor(2); | |
4287 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
4288 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
4289 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
4290 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
4291 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
4292 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 4293 | AliInfo(Form("fVriftCoef[1] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 4294 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
4295 | cpentei2->cd(); | |
4296 | pentea->Draw(); | |
4297 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
4298 | cpentei3->cd(); | |
4299 | pente->Draw(); | |
4300 | } | |
3a0f6479 | 4301 | else { |
55a288e5 | 4302 | delete pentea; |
55a288e5 | 4303 | delete pente; |
4304 | } | |
55a288e5 | 4305 | } |
55a288e5 | 4306 | //_____________________________________________________________________________ |
3a0f6479 | 4307 | void AliTRDCalibraFit::FitLagrangePoly(TH1* projPH) |
55a288e5 | 4308 | { |
4309 | // | |
4310 | // Slope methode but with polynomes de Lagrange | |
4311 | // | |
6aafa7ea | 4312 | |
55a288e5 | 4313 | // Constants |
4314 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
3a0f6479 | 4315 | Int_t binmax = 0; |
4316 | Int_t binmin = 0; | |
fdc15553 | 4317 | //Double_t *x = new Double_t[5]; |
4318 | //Double_t *y = new Double_t[5]; | |
4319 | Double_t x[5]; | |
4320 | Double_t y[5]; | |
3a0f6479 | 4321 | x[0] = 0.0; |
4322 | x[1] = 0.0; | |
4323 | x[2] = 0.0; | |
4324 | x[3] = 0.0; | |
4325 | x[4] = 0.0; | |
4326 | y[0] = 0.0; | |
4327 | y[1] = 0.0; | |
4328 | y[2] = 0.0; | |
4329 | y[3] = 0.0; | |
4330 | y[4] = 0.0; | |
4331 | fPhd[0] = 0.0; | |
4332 | fPhd[1] = 0.0; | |
4333 | fPhd[2] = 0.0; | |
4334 | Int_t ju = 0; | |
4335 | fCurrentCoefE = 0.0; | |
4336 | fCurrentCoefE2 = 1.0; | |
4337 | fCurrentCoef[0] = 0.0; | |
4338 | fCurrentCoef2[0] = 0.0; | |
55a288e5 | 4339 | TLine *line = new TLine(); |
4340 | TF1 * polynome = 0x0; | |
4341 | TF1 * polynomea = 0x0; | |
4342 | TF1 * polynomeb = 0x0; | |
3b0c1edc | 4343 | Double_t c0 = 0.0; |
4344 | Double_t c1 = 0.0; | |
4345 | Double_t c2 = 0.0; | |
4346 | Double_t c3 = 0.0; | |
4347 | Double_t c4 = 0.0; | |
55a288e5 | 4348 | |
4349 | // Some variables | |
4350 | TAxis *xpph = projPH->GetXaxis(); | |
4351 | Int_t nbins = xpph->GetNbins(); | |
4352 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
4353 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
4354 | Double_t widbins = (upedge - lowedge) / nbins; | |
4355 | Double_t limit = upedge + 0.5 * widbins; | |
4356 | ||
4357 | ||
4358 | Bool_t put = kTRUE; | |
4359 | ||
4360 | // Beginning of the signal | |
4361 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
4362 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
4363 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4364 | } | |
4365 | ||
4366 | binmax = (Int_t) pentea->GetMaximumBin(); | |
55a288e5 | 4367 | |
4368 | Double_t minnn = 0.0; | |
4369 | Double_t maxxx = 0.0; | |
4370 | ||
3a0f6479 | 4371 | Int_t kase = nbins-binmax; |
4372 | ||
4373 | switch(kase) | |
4374 | { | |
4375 | case 0: | |
4376 | put = kFALSE; | |
4377 | break; | |
4378 | case 1: | |
4379 | minnn = pentea->GetBinCenter(binmax-2); | |
4380 | maxxx = pentea->GetBinCenter(binmax); | |
4381 | x[0] = pentea->GetBinCenter(binmax-2); | |
4382 | x[1] = pentea->GetBinCenter(binmax-1); | |
4383 | x[2] = pentea->GetBinCenter(binmax); | |
4384 | y[0] = pentea->GetBinContent(binmax-2); | |
4385 | y[1] = pentea->GetBinContent(binmax-1); | |
4386 | y[2] = pentea->GetBinContent(binmax); | |
3b0c1edc | 4387 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4388 | AliInfo("At the limit for beginning!"); |
4389 | break; | |
4390 | case 2: | |
4391 | minnn = pentea->GetBinCenter(binmax-2); | |
4392 | maxxx = pentea->GetBinCenter(binmax+1); | |
4393 | x[0] = pentea->GetBinCenter(binmax-2); | |
4394 | x[1] = pentea->GetBinCenter(binmax-1); | |
4395 | x[2] = pentea->GetBinCenter(binmax); | |
4396 | x[3] = pentea->GetBinCenter(binmax+1); | |
4397 | y[0] = pentea->GetBinContent(binmax-2); | |
4398 | y[1] = pentea->GetBinContent(binmax-1); | |
4399 | y[2] = pentea->GetBinContent(binmax); | |
4400 | y[3] = pentea->GetBinContent(binmax+1); | |
3b0c1edc | 4401 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4402 | break; |
4403 | default: | |
4404 | switch(binmax){ | |
4405 | case 0: | |
4406 | put = kFALSE; | |
4407 | break; | |
4408 | case 1: | |
4409 | minnn = pentea->GetBinCenter(binmax); | |
4410 | maxxx = pentea->GetBinCenter(binmax+2); | |
4411 | x[0] = pentea->GetBinCenter(binmax); | |
4412 | x[1] = pentea->GetBinCenter(binmax+1); | |
4413 | x[2] = pentea->GetBinCenter(binmax+2); | |
4414 | y[0] = pentea->GetBinContent(binmax); | |
4415 | y[1] = pentea->GetBinContent(binmax+1); | |
4416 | y[2] = pentea->GetBinContent(binmax+2); | |
3b0c1edc | 4417 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4418 | break; |
4419 | case 2: | |
4420 | minnn = pentea->GetBinCenter(binmax-1); | |
4421 | maxxx = pentea->GetBinCenter(binmax+2); | |
4422 | x[0] = pentea->GetBinCenter(binmax-1); | |
4423 | x[1] = pentea->GetBinCenter(binmax); | |
4424 | x[2] = pentea->GetBinCenter(binmax+1); | |
4425 | x[3] = pentea->GetBinCenter(binmax+2); | |
4426 | y[0] = pentea->GetBinContent(binmax-1); | |
4427 | y[1] = pentea->GetBinContent(binmax); | |
4428 | y[2] = pentea->GetBinContent(binmax+1); | |
4429 | y[3] = pentea->GetBinContent(binmax+2); | |
3b0c1edc | 4430 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4431 | break; |
4432 | default: | |
4433 | minnn = pentea->GetBinCenter(binmax-2); | |
4434 | maxxx = pentea->GetBinCenter(binmax+2); | |
4435 | x[0] = pentea->GetBinCenter(binmax-2); | |
4436 | x[1] = pentea->GetBinCenter(binmax-1); | |
4437 | x[2] = pentea->GetBinCenter(binmax); | |
4438 | x[3] = pentea->GetBinCenter(binmax+1); | |
4439 | x[4] = pentea->GetBinCenter(binmax+2); | |
4440 | y[0] = pentea->GetBinContent(binmax-2); | |
4441 | y[1] = pentea->GetBinContent(binmax-1); | |
4442 | y[2] = pentea->GetBinContent(binmax); | |
4443 | y[3] = pentea->GetBinContent(binmax+1); | |
4444 | y[4] = pentea->GetBinContent(binmax+2); | |
3b0c1edc | 4445 | CalculPolynomeLagrange4(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4446 | break; |
4447 | } | |
4448 | break; | |
55a288e5 | 4449 | } |
3a0f6479 | 4450 | |
4451 | ||
55a288e5 | 4452 | if(put) { |
4453 | polynomeb = new TF1("polb","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minnn,maxxx); | |
3b0c1edc | 4454 | polynomeb->SetParameters(c0,c1,c2,c3,c4); |
3a0f6479 | 4455 | |
55a288e5 | 4456 | Double_t step = (maxxx-minnn)/10000; |
4457 | Double_t l = minnn; | |
4458 | Double_t maxvalue = 0.0; | |
4459 | Double_t placemaximum = minnn; | |
4460 | for(Int_t o = 0; o < 10000; o++){ | |
4461 | if(o == 0) maxvalue = polynomeb->Eval(l); | |
4462 | if(maxvalue < (polynomeb->Eval(l))){ | |
4463 | maxvalue = polynomeb->Eval(l); | |
4464 | placemaximum = l; | |
4465 | } | |
4466 | l += step; | |
4467 | } | |
4468 | fPhd[0] = placemaximum; | |
4469 | } | |
55a288e5 | 4470 | |
4471 | // Amplification region | |
4472 | binmax = 0; | |
4473 | ju = 0; | |
4474 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
3a0f6479 | 4475 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && (ju == 0) && (kbin > (fPhd[0]/widbins))) { |
55a288e5 | 4476 | binmax = kbin; |
4477 | ju = 1; | |
4478 | } | |
4479 | } | |
3a0f6479 | 4480 | |
55a288e5 | 4481 | Double_t minn = 0.0; |
4482 | Double_t maxx = 0.0; | |
3a0f6479 | 4483 | x[0] = 0.0; |
4484 | x[1] = 0.0; | |
4485 | x[2] = 0.0; | |
4486 | x[3] = 0.0; | |
4487 | x[4] = 0.0; | |
4488 | y[0] = 0.0; | |
4489 | y[1] = 0.0; | |
4490 | y[2] = 0.0; | |
4491 | y[3] = 0.0; | |
4492 | y[4] = 0.0; | |
4493 | ||
4494 | Int_t kase1 = nbins - binmax; | |
55a288e5 | 4495 | |
4496 | //Determination of minn and maxx | |
4497 | //case binmax = nbins | |
4498 | //pol2 | |
3a0f6479 | 4499 | switch(kase1) |
4500 | { | |
4501 | case 0: | |
4502 | minn = projPH->GetBinCenter(binmax-2); | |
4503 | maxx = projPH->GetBinCenter(binmax); | |
4504 | x[0] = projPH->GetBinCenter(binmax-2); | |
4505 | x[1] = projPH->GetBinCenter(binmax-1); | |
4506 | x[2] = projPH->GetBinCenter(binmax); | |
4507 | y[0] = projPH->GetBinContent(binmax-2); | |
4508 | y[1] = projPH->GetBinContent(binmax-1); | |
4509 | y[2] = projPH->GetBinContent(binmax); | |
3b0c1edc | 4510 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4511 | //AliInfo("At the limit for the drift!"); |
4512 | break; | |
4513 | case 1: | |
4514 | minn = projPH->GetBinCenter(binmax-2); | |
4515 | maxx = projPH->GetBinCenter(binmax+1); | |
4516 | x[0] = projPH->GetBinCenter(binmax-2); | |
4517 | x[1] = projPH->GetBinCenter(binmax-1); | |
4518 | x[2] = projPH->GetBinCenter(binmax); | |
4519 | x[3] = projPH->GetBinCenter(binmax+1); | |
4520 | y[0] = projPH->GetBinContent(binmax-2); | |
4521 | y[1] = projPH->GetBinContent(binmax-1); | |
4522 | y[2] = projPH->GetBinContent(binmax); | |
4523 | y[3] = projPH->GetBinContent(binmax+1); | |
3b0c1edc | 4524 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4525 | break; |
4526 | default: | |
4527 | switch(binmax) | |
4528 | { | |
4529 | case 0: | |
4530 | put = kFALSE; | |
4531 | break; | |
4532 | case 1: | |
4533 | minn = projPH->GetBinCenter(binmax); | |
4534 | maxx = projPH->GetBinCenter(binmax+2); | |
4535 | x[0] = projPH->GetBinCenter(binmax); | |
4536 | x[1] = projPH->GetBinCenter(binmax+1); | |
4537 | x[2] = projPH->GetBinCenter(binmax+2); | |
4538 | y[0] = projPH->GetBinContent(binmax); | |
4539 | y[1] = projPH->GetBinContent(binmax+1); | |
4540 | y[2] = projPH->GetBinContent(binmax+2); | |
3b0c1edc | 4541 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4542 | break; |
4543 | case 2: | |
4544 | minn = projPH->GetBinCenter(binmax-1); | |
4545 | maxx = projPH->GetBinCenter(binmax+2); | |
4546 | x[0] = projPH->GetBinCenter(binmax-1); | |
4547 | x[1] = projPH->GetBinCenter(binmax); | |
4548 | x[2] = projPH->GetBinCenter(binmax+1); | |
4549 | x[3] = projPH->GetBinCenter(binmax+2); | |
4550 | y[0] = projPH->GetBinContent(binmax-1); | |
4551 | y[1] = projPH->GetBinContent(binmax); | |
4552 | y[2] = projPH->GetBinContent(binmax+1); | |
4553 | y[3] = projPH->GetBinContent(binmax+2); | |
3b0c1edc | 4554 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4555 | break; |
4556 | default: | |
4557 | minn = projPH->GetBinCenter(binmax-2); | |
4558 | maxx = projPH->GetBinCenter(binmax+2); | |
4559 | x[0] = projPH->GetBinCenter(binmax-2); | |
4560 | x[1] = projPH->GetBinCenter(binmax-1); | |
4561 | x[2] = projPH->GetBinCenter(binmax); | |
4562 | x[3] = projPH->GetBinCenter(binmax+1); | |
4563 | x[4] = projPH->GetBinCenter(binmax+2); | |
4564 | y[0] = projPH->GetBinContent(binmax-2); | |
4565 | y[1] = projPH->GetBinContent(binmax-1); | |
4566 | y[2] = projPH->GetBinContent(binmax); | |
4567 | y[3] = projPH->GetBinContent(binmax+1); | |
4568 | y[4] = projPH->GetBinContent(binmax+2); | |
3b0c1edc | 4569 | CalculPolynomeLagrange4(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4570 | break; |
4571 | } | |
4572 | break; | |
55a288e5 | 4573 | } |
3a0f6479 | 4574 | |
55a288e5 | 4575 | if(put) { |
4576 | polynomea = new TF1("pola","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minn,maxx); | |
3b0c1edc | 4577 | polynomea->SetParameters(c0,c1,c2,c3,c4); |
3a0f6479 | 4578 | |
55a288e5 | 4579 | Double_t step = (maxx-minn)/1000; |
4580 | Double_t l = minn; | |
4581 | Double_t maxvalue = 0.0; | |
4582 | Double_t placemaximum = minn; | |
4583 | for(Int_t o = 0; o < 1000; o++){ | |
4584 | if(o == 0) maxvalue = polynomea->Eval(l); | |
4585 | if(maxvalue < (polynomea->Eval(l))){ | |
4586 | maxvalue = polynomea->Eval(l); | |
4587 | placemaximum = l; | |
4588 | } | |
4589 | l += step; | |
4590 | } | |
4591 | fPhd[1] = placemaximum; | |
4592 | } | |
4593 | ||
55a288e5 | 4594 | // Drift region |
4595 | TH1D *pente = new TH1D("pente","pente", projPH->GetNbinsX(),0,(Float_t) limit); | |
4596 | for (Int_t k = TMath::Min(binmax+4, projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
4597 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
4598 | } | |
4599 | binmin = 0; | |
4600 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
4601 | ||
4602 | //should not happen | |
4603 | if (binmin <= 1) { | |
4604 | binmin = 2; | |
4605 | put = 1; | |
4606 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
4607 | } | |
4608 | ||
4609 | //check | |
64942b85 | 4610 | if((projPH->GetBinContent(binmin)-projPH->GetBinError(binmin)) < (projPH->GetBinContent(binmin+1))) { |
4611 | AliInfo("Too many fluctuations at the end!"); | |
4612 | put = kFALSE; | |
4613 | } | |
4614 | if((projPH->GetBinContent(binmin)+projPH->GetBinError(binmin)) > (projPH->GetBinContent(binmin-1))) { | |
4615 | AliInfo("Too many fluctuations at the end!"); | |
4616 | put = kFALSE; | |
4617 | } | |
daa7dc79 | 4618 | if(TMath::Abs(pente->GetBinContent(binmin+1)) <= 0.0000000000001){ |
64942b85 | 4619 | AliInfo("No entries for the next bin!"); |
4620 | pente->SetBinContent(binmin,0); | |
4621 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
4622 | } | |
4623 | ||
3a0f6479 | 4624 | |
4625 | x[0] = 0.0; | |
4626 | x[1] = 0.0; | |
4627 | x[2] = 0.0; | |
4628 | x[3] = 0.0; | |
4629 | x[4] = 0.0; | |
4630 | y[0] = 0.0; | |
4631 | y[1] = 0.0; | |
4632 | y[2] = 0.0; | |
4633 | y[3] = 0.0; | |
4634 | y[4] = 0.0; | |
55a288e5 | 4635 | Double_t min = 0.0; |
4636 | Double_t max = 0.0; | |
4637 | Bool_t case1 = kFALSE; | |
4638 | Bool_t case2 = kFALSE; | |
4639 | Bool_t case4 = kFALSE; | |
4640 | ||
4641 | //Determination of min and max | |
4642 | //case binmin <= nbins-3 | |
4643 | //pol4 case 3 | |
4644 | if((binmin <= (nbins-3)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4645 | min = pente->GetBinCenter(binmin-2); | |
4646 | max = pente->GetBinCenter(binmin+2); | |
4647 | x[0] = pente->GetBinCenter(binmin-2); | |
4648 | x[1] = pente->GetBinCenter(binmin-1); | |
4649 | x[2] = pente->GetBinCenter(binmin); | |
4650 | x[3] = pente->GetBinCenter(binmin+1); | |
4651 | x[4] = pente->GetBinCenter(binmin+2); | |
4652 | y[0] = pente->GetBinContent(binmin-2); | |
4653 | y[1] = pente->GetBinContent(binmin-1); | |
4654 | y[2] = pente->GetBinContent(binmin); | |
4655 | y[3] = pente->GetBinContent(binmin+1); | |
4656 | y[4] = pente->GetBinContent(binmin+2); | |
4657 | //Calcul the polynome de Lagrange | |
3b0c1edc | 4658 | CalculPolynomeLagrange4(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 4659 | //richtung +/- |
4660 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && | |
64942b85 | 4661 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4662 | //AliInfo("polynome 4 false 1"); | |
4663 | put = kFALSE; | |
4664 | } | |
55a288e5 | 4665 | if(((binmin+3) <= (nbins-1)) && |
4666 | (pente->GetBinContent(binmin+3) <= pente->GetBinContent(binmin+2)) && | |
4667 | ((binmin-3) >= TMath::Min(binmax+4, projPH->GetNbinsX())) && | |
64942b85 | 4668 | (pente->GetBinContent(binmin-3) <= pente->GetBinContent(binmin-2))) { |
4669 | AliInfo("polynome 4 false 2"); | |
4670 | put = kFALSE; | |
4671 | } | |
4672 | // poly 3 | |
55a288e5 | 4673 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && |
64942b85 | 4674 | (pente->GetBinContent(binmin-2) > pente->GetBinContent(binmin-1))) { |
4675 | //AliInfo("polynome 4 case 1"); | |
4676 | case1 = kTRUE; | |
4677 | } | |
55a288e5 | 4678 | if((pente->GetBinContent(binmin+2) > pente->GetBinContent(binmin+1)) && |
64942b85 | 4679 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4680 | //AliInfo("polynome 4 case 4"); | |
4681 | case4 = kTRUE; | |
4682 | } | |
4683 | ||
55a288e5 | 4684 | } |
4685 | //case binmin = nbins-2 | |
4686 | //pol3 case 1 | |
4687 | if(((binmin == (nbins-2)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
4688 | (case1)){ | |
4689 | min = pente->GetBinCenter(binmin-2); | |
4690 | max = pente->GetBinCenter(binmin+1); | |
4691 | x[0] = pente->GetBinCenter(binmin-2); | |
4692 | x[1] = pente->GetBinCenter(binmin-1); | |
4693 | x[2] = pente->GetBinCenter(binmin); | |
4694 | x[3] = pente->GetBinCenter(binmin+1); | |
4695 | y[0] = pente->GetBinContent(binmin-2); | |
4696 | y[1] = pente->GetBinContent(binmin-1); | |
4697 | y[2] = pente->GetBinContent(binmin); | |
4698 | y[3] = pente->GetBinContent(binmin+1); | |
4699 | //Calcul the polynome de Lagrange | |
3b0c1edc | 4700 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 4701 | //richtung +: nothing |
4702 | //richtung - | |
64942b85 | 4703 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4704 | //AliInfo("polynome 3- case 2"); | |
4705 | case2 = kTRUE; | |
4706 | } | |
55a288e5 | 4707 | } |
4708 | //pol3 case 4 | |
4709 | if(((binmin <= (nbins-3)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
4710 | (case4)){ | |
4711 | min = pente->GetBinCenter(binmin-1); | |
4712 | max = pente->GetBinCenter(binmin+2); | |
4713 | x[0] = pente->GetBinCenter(binmin-1); | |
4714 | x[1] = pente->GetBinCenter(binmin); | |
4715 | x[2] = pente->GetBinCenter(binmin+1); | |
4716 | x[3] = pente->GetBinCenter(binmin+2); | |
4717 | y[0] = pente->GetBinContent(binmin-1); | |
4718 | y[1] = pente->GetBinContent(binmin); | |
4719 | y[2] = pente->GetBinContent(binmin+1); | |
4720 | y[3] = pente->GetBinContent(binmin+2); | |
4721 | //Calcul the polynome de Lagrange | |
3b0c1edc | 4722 | CalculPolynomeLagrange3(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 4723 | //richtung + |
64942b85 | 4724 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) { |
4725 | //AliInfo("polynome 3+ case 2"); | |
4726 | case2 = kTRUE; | |
4727 | } | |
55a288e5 | 4728 | } |
4729 | //pol2 case 5 | |
4730 | if((binmin <= (nbins-3)) && (binmin == TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4731 | min = pente->GetBinCenter(binmin); | |
4732 | max = pente->GetBinCenter(binmin+2); | |
4733 | x[0] = pente->GetBinCenter(binmin); | |
4734 | x[1] = pente->GetBinCenter(binmin+1); | |
4735 | x[2] = pente->GetBinCenter(binmin+2); | |
4736 | y[0] = pente->GetBinContent(binmin); | |
4737 | y[1] = pente->GetBinContent(binmin+1); | |
4738 | y[2] = pente->GetBinContent(binmin+2); | |
4739 | //Calcul the polynome de Lagrange | |
3b0c1edc | 4740 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 4741 | //richtung + |
64942b85 | 4742 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) { |
4743 | //AliInfo("polynome 2+ false"); | |
4744 | put = kFALSE; | |
4745 | } | |
55a288e5 | 4746 | } |
4747 | //pol2 case 2 | |
4748 | if(((binmin == (nbins-2)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
4749 | (case2)){ | |
4750 | min = pente->GetBinCenter(binmin-1); | |
4751 | max = pente->GetBinCenter(binmin+1); | |
4752 | x[0] = pente->GetBinCenter(binmin-1); | |
4753 | x[1] = pente->GetBinCenter(binmin); | |
4754 | x[2] = pente->GetBinCenter(binmin+1); | |
4755 | y[0] = pente->GetBinContent(binmin-1); | |
4756 | y[1] = pente->GetBinContent(binmin); | |
4757 | y[2] = pente->GetBinContent(binmin+1); | |
4758 | //Calcul the polynome de Lagrange | |
3b0c1edc | 4759 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
55a288e5 | 4760 | //richtung +: nothing |
4761 | //richtung -: nothing | |
4762 | } | |
4763 | //case binmin = nbins-1 | |
4764 | //pol2 case 0 | |
4765 | if((binmin == (nbins-1)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4766 | min = pente->GetBinCenter(binmin-2); | |
4767 | max = pente->GetBinCenter(binmin); | |
4768 | x[0] = pente->GetBinCenter(binmin-2); | |
4769 | x[1] = pente->GetBinCenter(binmin-1); | |
4770 | x[2] = pente->GetBinCenter(binmin); | |
4771 | y[0] = pente->GetBinContent(binmin-2); | |
4772 | y[1] = pente->GetBinContent(binmin-1); | |
4773 | y[2] = pente->GetBinContent(binmin); | |
4774 | //Calcul the polynome de Lagrange | |
3b0c1edc | 4775 | CalculPolynomeLagrange2(x,y,c0,c1,c2,c3,c4); |
3a0f6479 | 4776 | //AliInfo("At the limit for the drift!"); |
55a288e5 | 4777 | //fluctuation too big! |
4778 | //richtung +: nothing | |
4779 | //richtung - | |
64942b85 | 4780 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) { |
4781 | //AliInfo("polynome 2- false "); | |
4782 | put = kFALSE; | |
4783 | } | |
55a288e5 | 4784 | } |
4785 | if((binmin == (nbins-1)) && ((binmin-2) < TMath::Min(binmax+4, projPH->GetNbinsX()))) { | |
4786 | put = kFALSE; | |
4787 | AliInfo("At the limit for the drift and not usable!"); | |
4788 | } | |
4789 | ||
4790 | //pass | |
4791 | if((binmin == (nbins-2)) && ((binmin-1) < TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
4792 | put = kFALSE; | |
4793 | AliInfo("For the drift...problem!"); | |
4794 | } | |
55a288e5 | 4795 | //pass but should not happen |
64942b85 | 4796 | if((binmin <= (nbins-3)) && (binmin < TMath::Min(binmax+6, projPH->GetNbinsX()))){ |
55a288e5 | 4797 | put = kFALSE; |
4798 | AliInfo("For the drift...problem!"); | |
4799 | } | |
3a0f6479 | 4800 | |
55a288e5 | 4801 | if(put) { |
4802 | polynome = new TF1("pol","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",min,max); | |
3b0c1edc | 4803 | polynome->SetParameters(c0,c1,c2,c3,c4); |
55a288e5 | 4804 | //AliInfo(Form("GetMinimum of the function %f",polynome->GetMinimumX())); |
4805 | Double_t step = (max-min)/1000; | |
4806 | Double_t l = min; | |
4807 | Double_t minvalue = 0.0; | |
4808 | Double_t placeminimum = min; | |
4809 | for(Int_t o = 0; o < 1000; o++){ | |
4810 | if(o == 0) minvalue = polynome->Eval(l); | |
4811 | if(minvalue > (polynome->Eval(l))){ | |
4812 | minvalue = polynome->Eval(l); | |
4813 | placeminimum = l; | |
4814 | } | |
4815 | l += step; | |
4816 | } | |
4817 | fPhd[2] = placeminimum; | |
4818 | } | |
64942b85 | 4819 | //printf("La fin %d\n",((Int_t)(fPhd[2]*10.0))+2); |
4820 | if((((Int_t)(fPhd[2]*10.0))+2) >= projPH->GetNbinsX()) fPhd[2] = 0.0; | |
4821 | if(((((Int_t)(fPhd[2]*10.0))+2) < projPH->GetNbinsX()) && (projPH->GetBinContent(((Int_t)(fPhd[2]*10.0))+2)==0)) fPhd[2] = 0.0; | |
3a0f6479 | 4822 | |
413153cb | 4823 | Float_t fPhdt0 = 0.0; |
4824 | Float_t t0Shift = 0.0; | |
4825 | if(fTakeTheMaxPH) { | |
4826 | fPhdt0 = fPhd[1]; | |
4827 | t0Shift = fT0Shift1; | |
4828 | } | |
4829 | else { | |
4830 | fPhdt0 = fPhd[0]; | |
4831 | t0Shift = fT0Shift0; | |
4832 | } | |
55a288e5 | 4833 | |
4834 | if ((fPhd[2] > fPhd[0]) && | |
4835 | (fPhd[2] > fPhd[1]) && | |
4836 | (fPhd[1] > fPhd[0]) && | |
4837 | (put)) { | |
3a0f6479 | 4838 | fCurrentCoef[0] = (kDrWidth) / (fPhd[2]-fPhd[1]); |
6210514c | 4839 | if(fCurrentCoef[0] > 2.5) fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
6aafa7ea | 4840 | else fNumberFitSuccess++; |
55a288e5 | 4841 | if (fPhdt0 >= 0.0) { |
413153cb | 4842 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; |
3a0f6479 | 4843 | if (fCurrentCoef2[0] < -1.0) { |
64942b85 | 4844 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4845 | } |
4846 | } | |
4847 | else { | |
64942b85 | 4848 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4849 | } |
4850 | } | |
4851 | else { | |
6210514c | 4852 | //printf("Put default %f\n",-TMath::Abs(fCurrentCoef[1])); |
4853 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4854 | ||
64942b85 | 4855 | if((fPhd[1] > fPhd[0]) && |
4856 | (put)) { | |
4857 | if (fPhdt0 >= 0.0) { | |
4858 | fCurrentCoef2[0] = (fPhdt0 - t0Shift) / widbins; | |
4859 | if (fCurrentCoef2[0] < -1.0) { | |
4860 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
4861 | } | |
4862 | } | |
4863 | else { | |
4864 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
4865 | } | |
4866 | } | |
4867 | else{ | |
64942b85 | 4868 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
4869 | //printf("Fit failed!\n"); | |
4870 | } | |
55a288e5 | 4871 | } |
4872 | ||
3a0f6479 | 4873 | if (fDebugLevel == 1) { |
55a288e5 | 4874 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); |
4875 | cpentei->cd(); | |
4876 | projPH->Draw(); | |
4877 | line->SetLineColor(2); | |
4878 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
4879 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
4880 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
4881 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
4882 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
4883 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
3a0f6479 | 4884 | AliInfo(Form("fVriftCoef[3] (with only the drift region(default)): %f",(Float_t) fCurrentCoef[0])); |
55a288e5 | 4885 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); |
4886 | cpentei2->cd(); | |
4887 | pentea->Draw(); | |
4888 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
4889 | cpentei3->cd(); | |
4890 | pente->Draw(); | |
4891 | } | |
3a0f6479 | 4892 | else { |
a987273c | 4893 | delete pentea; |
4894 | delete pente; | |
1ca79a00 | 4895 | if(polynome) delete polynome; |
4896 | if(polynomea) delete polynomea; | |
4897 | if(polynomeb) delete polynomeb; | |
fdc15553 | 4898 | //if(x) delete [] x; |
4899 | //if(y) delete [] y; | |
1ca79a00 | 4900 | if(line) delete line; |
4901 | ||
55a288e5 | 4902 | } |
64942b85 | 4903 | |
4904 | //Provisoire | |
4905 | //if(fCurrentCoef[0] > 1.7) fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
4906 | //if((fCurrentCoef2[0] > 2.6) || (fCurrentCoef2[0] < 2.1)) fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; | |
3a0f6479 | 4907 | |
55a288e5 | 4908 | projPH->SetDirectory(0); |
4909 | ||
4910 | } | |
4911 | ||
4912 | //_____________________________________________________________________________ | |
4913 | void AliTRDCalibraFit::FitPH(TH1* projPH, Int_t idect) | |
4914 | { | |
4915 | // | |
4916 | // Fit methode for the drift velocity | |
4917 | // | |
4918 | ||
4919 | // Constants | |
4920 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
4921 | ||
4922 | // Some variables | |
4923 | TAxis *xpph = projPH->GetXaxis(); | |
4924 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
4925 | ||
4926 | TF1 *fPH = new TF1("fPH",AliTRDCalibraFit::PH,-0.05,3.2,6); | |
4927 | fPH->SetParameter(0,0.469); // Scaling | |
4928 | fPH->SetParameter(1,0.18); // Start | |
4929 | fPH->SetParameter(2,0.0857325); // AR | |
4930 | fPH->SetParameter(3,1.89); // DR | |
4931 | fPH->SetParameter(4,0.08); // QA/QD | |
4932 | fPH->SetParameter(5,0.0); // Baseline | |
4933 | ||
4934 | TLine *line = new TLine(); | |
4935 | ||
3a0f6479 | 4936 | fCurrentCoef[0] = 0.0; |
4937 | fCurrentCoef2[0] = 0.0; | |
4938 | fCurrentCoefE = 0.0; | |
4939 | fCurrentCoefE2 = 0.0; | |
55a288e5 | 4940 | |
4941 | if (idect%fFitPHPeriode == 0) { | |
4942 | ||
3a0f6479 | 4943 | AliInfo(Form("The detector %d will be fitted",idect)); |
55a288e5 | 4944 | fPH->SetParameter(0,(projPH->Integral()-(projPH->GetBinContent(1)*projPH->GetNbinsX())) * 0.00028); // Scaling |
4945 | fPH->SetParameter(1,fPhd[0] - 0.1); // Start | |
4946 | fPH->SetParameter(2,fPhd[1] - fPhd[0]); // AR | |
4947 | fPH->SetParameter(3,fPhd[2] - fPhd[1]); // DR | |
4948 | fPH->SetParameter(4,0.225); // QA/QD | |
4949 | fPH->SetParameter(5,(Float_t) projPH->GetBinContent(1)); | |
4950 | ||
3a0f6479 | 4951 | if (fDebugLevel != 1) { |
55a288e5 | 4952 | projPH->Fit(fPH,"0M","",0.0,upedge); |
4953 | } | |
3a0f6479 | 4954 | else { |
55a288e5 | 4955 | TCanvas *cpente = new TCanvas("cpente","cpente",50,50,600,800); |
4956 | cpente->cd(); | |
4957 | projPH->Fit(fPH,"M+","",0.0,upedge); | |
4958 | projPH->Draw("E0"); | |
4959 | line->SetLineColor(4); | |
4960 | line->DrawLine(fPH->GetParameter(1) | |
4961 | ,0 | |
4962 | ,fPH->GetParameter(1) | |
4963 | ,projPH->GetMaximum()); | |
4964 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2) | |
4965 | ,0 | |
4966 | ,fPH->GetParameter(1)+fPH->GetParameter(2) | |
4967 | ,projPH->GetMaximum()); | |
4968 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
4969 | ,0 | |
4970 | ,fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
4971 | ,projPH->GetMaximum()); | |
4972 | } | |
4973 | ||
4974 | if (fPH->GetParameter(3) != 0) { | |
3a0f6479 | 4975 | fNumberFitSuccess++; |
4976 | fCurrentCoef[0] = kDrWidth / (fPH->GetParameter(3)); | |
4977 | fCurrentCoefE = (fPH->GetParError(3)/fPH->GetParameter(3))*fCurrentCoef[0]; | |
4978 | fCurrentCoef2[0] = fPH->GetParameter(1); | |
4979 | fCurrentCoefE2 = fPH->GetParError(1); | |
55a288e5 | 4980 | } |
4981 | else { | |
3a0f6479 | 4982 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); |
64942b85 | 4983 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4984 | } |
3a0f6479 | 4985 | |
55a288e5 | 4986 | } |
55a288e5 | 4987 | else { |
4988 | ||
3a0f6479 | 4989 | // Put the default value |
4990 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
64942b85 | 4991 | fCurrentCoef2[0] = fCurrentCoef2[1] + 100.0; |
55a288e5 | 4992 | } |
4993 | ||
3a0f6479 | 4994 | if (fDebugLevel != 1) { |
55a288e5 | 4995 | delete fPH; |
4996 | } | |
4997 | ||
4998 | } | |
55a288e5 | 4999 | //_____________________________________________________________________________ |
3a0f6479 | 5000 | Bool_t AliTRDCalibraFit::FitPRFGausMI(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nBins, Float_t xMin, Float_t xMax) |
55a288e5 | 5001 | { |
5002 | // | |
5003 | // Fit methode for the sigma of the pad response function | |
5004 | // | |
3a0f6479 | 5005 | |
5006 | TVectorD param(3); | |
55a288e5 | 5007 | |
3a0f6479 | 5008 | fCurrentCoef[0] = 0.0; |
5009 | fCurrentCoefE = 0.0; | |
5010 | ||
5011 | Double_t ret = FitGausMI(arraye, arraym, arrayme, nBins, xMin, xMax,¶m); | |
5012 | ||
daa7dc79 | 5013 | if(TMath::Abs(ret+4) <= 0.000000001){ |
3a0f6479 | 5014 | fCurrentCoef[0] = -fCurrentCoef[1]; |
5015 | return kFALSE; | |
5016 | } | |
5017 | else { | |
5018 | fNumberFitSuccess++; | |
5019 | fCurrentCoef[0] = param[2]; | |
5020 | fCurrentCoefE = ret; | |
5021 | return kTRUE; | |
5022 | } | |
5023 | } | |
5024 | //_____________________________________________________________________________ | |
7bce990c | 5025 | Double_t AliTRDCalibraFit::FitGausMI(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nBins, Float_t xMin, Float_t xMax, TVectorD *param, Bool_t bError) |
3a0f6479 | 5026 | { |
5027 | // | |
5028 | // Fit methode for the sigma of the pad response function | |
5029 | // | |
5030 | ||
5031 | //We should have at least 3 points | |
5032 | if(nBins <=3) return -4.0; | |
5033 | ||
5034 | TLinearFitter fitter(3,"pol2"); | |
5035 | fitter.StoreData(kFALSE); | |
5036 | fitter.ClearPoints(); | |
5037 | TVectorD par(3); | |
5038 | Float_t binWidth = (xMax-xMin)/(Float_t)nBins; | |
5039 | Float_t entries = 0; | |
5040 | Int_t nbbinwithentries = 0; | |
5041 | for (Int_t i=0; i<nBins; i++){ | |
5042 | entries+=arraye[i]; | |
5043 | if(arraye[i] > 15) nbbinwithentries++; | |
5044 | //printf("entries for i %d: %f\n",i,arraye[i]); | |
5045 | } | |
5046 | if ((entries<700) || (nbbinwithentries < ((Int_t)(nBins/2)))) return -4; | |
5047 | //printf("entries %f\n",entries); | |
5048 | //printf("nbbinwithentries %d\n",nbbinwithentries); | |
5049 | ||
5050 | Int_t npoints=0; | |
5051 | Float_t errorm = 0.0; | |
5052 | Float_t errorn = 0.0; | |
5053 | Float_t error = 0.0; | |
5054 | ||
5055 | // | |
5056 | for (Int_t ibin=0;ibin<nBins; ibin++){ | |
5057 | Float_t entriesI = arraye[ibin]; | |
5058 | Float_t valueI = arraym[ibin]; | |
5059 | Double_t xcenter = 0.0; | |
5060 | Float_t val = 0.0; | |
5061 | if ((entriesI>15) && (valueI>0.0)){ | |
5062 | xcenter = xMin+(ibin+0.5)*binWidth; | |
5063 | errorm = 0.0; | |
5064 | errorn = 0.0; | |
5065 | error = 0.0; | |
7bce990c | 5066 | if(!bError){ |
3a0f6479 | 5067 | if((valueI + 0.01) > 0.0) errorm = TMath::Log((valueI + 0.01)/valueI); |
5068 | if((valueI - 0.01) > 0.0) errorn = TMath::Log((valueI - 0.01)/valueI); | |
5069 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
5070 | } | |
5071 | else{ | |
5072 | if((valueI + arrayme[ibin]) > 0.0) errorm = TMath::Log((valueI + arrayme[ibin])/valueI); | |
5073 | if((valueI - arrayme[ibin]) > 0.0) errorn = TMath::Log((valueI - arrayme[ibin])/valueI); | |
5074 | error = TMath::Max(TMath::Abs(errorm),TMath::Abs(errorn)); | |
5075 | } | |
daa7dc79 | 5076 | if(TMath::Abs(error) < 0.000000001) continue; |
3a0f6479 | 5077 | val = TMath::Log(Float_t(valueI)); |
5078 | fitter.AddPoint(&xcenter,val,error); | |
5079 | npoints++; | |
5080 | } | |
5081 | ||
5082 | if(fDebugLevel > 1){ | |
55a288e5 | 5083 | |
3a0f6479 | 5084 | if ( !fDebugStreamer ) { |
5085 | //debug stream | |
5086 | TDirectory *backup = gDirectory; | |
4aad967c | 5087 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5088 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5089 | } | |
5090 | ||
5091 | Int_t detector = fCountDet; | |
053767a4 | 5092 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5093 | Int_t group = ibin; |
5094 | ||
5095 | (* fDebugStreamer) << "FitGausMIFill"<< | |
5096 | "detector="<<detector<< | |
053767a4 | 5097 | "layer="<<layer<< |
3a0f6479 | 5098 | "nbins="<<nBins<< |
5099 | "group="<<group<< | |
5100 | "entriesI="<<entriesI<< | |
5101 | "valueI="<<valueI<< | |
5102 | "val="<<val<< | |
5103 | "xcenter="<<xcenter<< | |
5104 | "errorm="<<errorm<< | |
5105 | "errorn="<<errorn<< | |
5106 | "error="<<error<< | |
7bce990c | 5107 | "bError="<<bError<< |
3a0f6479 | 5108 | "\n"; |
5109 | } | |
5110 | ||
5111 | } | |
5112 | ||
5113 | if(npoints <=3) return -4.0; | |
5114 | ||
5115 | Double_t chi2 = 0; | |
5116 | if (npoints>3){ | |
5117 | fitter.Eval(); | |
5118 | fitter.GetParameters(par); | |
5119 | chi2 = fitter.GetChisquare()/Float_t(npoints); | |
55a288e5 | 5120 | |
3a0f6479 | 5121 | |
5122 | if (!param) param = new TVectorD(3); | |
daa7dc79 | 5123 | if(TMath::Abs(par[2]) <= 0.000000001) return -4.0; |
3a0f6479 | 5124 | Double_t x = TMath::Sqrt(TMath::Abs(-2*par[2])); |
5125 | Double_t deltax = (fitter.GetParError(2))/x; | |
5126 | Double_t errorparam2 = TMath::Abs(deltax)/(x*x); | |
5127 | chi2 = errorparam2; | |
55a288e5 | 5128 | |
3a0f6479 | 5129 | (*param)[1] = par[1]/(-2.*par[2]); |
5130 | (*param)[2] = 1./TMath::Sqrt(TMath::Abs(-2.*par[2])); | |
5131 | Double_t lnparam0 = par[0]+ par[1]* (*param)[1] + par[2]*(*param)[1]*(*param)[1]; | |
5132 | if ( lnparam0>307 ) return -4; | |
5133 | (*param)[0] = TMath::Exp(lnparam0); | |
5134 | ||
5135 | if(fDebugLevel > 1){ | |
5136 | ||
5137 | if ( !fDebugStreamer ) { | |
5138 | //debug stream | |
5139 | TDirectory *backup = gDirectory; | |
4aad967c | 5140 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5141 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5142 | } | |
5143 | ||
5144 | Int_t detector = fCountDet; | |
053767a4 | 5145 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5146 | |
5147 | ||
5148 | (* fDebugStreamer) << "FitGausMIFit"<< | |
5149 | "detector="<<detector<< | |
053767a4 | 5150 | "layer="<<layer<< |
3a0f6479 | 5151 | "nbins="<<nBins<< |
5152 | "errorsigma="<<chi2<< | |
5153 | "mean="<<(*param)[1]<< | |
5154 | "sigma="<<(*param)[2]<< | |
5155 | "constant="<<(*param)[0]<< | |
5156 | "\n"; | |
5157 | } | |
5158 | } | |
5159 | ||
5160 | if((chi2/(*param)[2]) > 0.1){ | |
7bce990c | 5161 | if(bError){ |
3a0f6479 | 5162 | chi2 = FitGausMI(arraye,arraym,arrayme,nBins,xMin,xMax,param,kFALSE); |
5163 | } | |
5164 | else return -4.0; | |
55a288e5 | 5165 | } |
3a0f6479 | 5166 | |
5167 | if(fDebugLevel == 1){ | |
5168 | TString name("PRF"); | |
5169 | name += (Int_t)xMin; | |
5170 | name += (Int_t)xMax; | |
5171 | TCanvas *c1 = new TCanvas((const char *)name,(const char *)name,50,50,600,800); | |
5172 | c1->cd(); | |
5173 | name += "histo"; | |
5174 | TH1F *histo = new TH1F((const char *)name,(const char *)name,nBins,xMin,xMax); | |
5175 | for(Int_t k = 0; k < nBins; k++){ | |
5176 | histo->SetBinContent(k+1,arraym[k]); | |
5177 | histo->SetBinError(k+1,arrayme[k]); | |
5178 | } | |
5179 | histo->Draw(); | |
5180 | name += "functionf"; | |
5181 | TF1 *f1= new TF1((const char*)name,"[0]*exp(-(x-[1])^2/(2*[2]*[2]))",xMin,xMax); | |
5182 | f1->SetParameter(0, (*param)[0]); | |
5183 | f1->SetParameter(1, (*param)[1]); | |
5184 | f1->SetParameter(2, (*param)[2]); | |
5185 | f1->Draw("same"); | |
5186 | } | |
5187 | ||
5188 | ||
5189 | return chi2; | |
5190 | ||
5191 | } | |
5192 | //_____________________________________________________________________________ | |
5193 | void AliTRDCalibraFit::FitPRF(TH1 *projPRF) | |
5194 | { | |
5195 | // | |
5196 | // Fit methode for the sigma of the pad response function | |
5197 | // | |
55a288e5 | 5198 | |
3a0f6479 | 5199 | fCurrentCoef[0] = 0.0; |
5200 | fCurrentCoefE = 0.0; | |
5201 | ||
5202 | if (fDebugLevel != 1) { | |
5203 | projPRF->Fit("gaus","0M","",-fRangeFitPRF,fRangeFitPRF); | |
5204 | } | |
5205 | else { | |
55a288e5 | 5206 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); |
5207 | cfit->cd(); | |
5208 | projPRF->Fit("gaus","M+","",-fRangeFitPRF,fRangeFitPRF); | |
5209 | projPRF->Draw(); | |
55a288e5 | 5210 | } |
3a0f6479 | 5211 | fCurrentCoef[0] = projPRF->GetFunction("gaus")->GetParameter(2); |
5212 | fCurrentCoefE = projPRF->GetFunction("gaus")->GetParError(2); | |
5213 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
55a288e5 | 5214 | else { |
3a0f6479 | 5215 | fNumberFitSuccess++; |
55a288e5 | 5216 | } |
3a0f6479 | 5217 | } |
5218 | //_____________________________________________________________________________ | |
5219 | void AliTRDCalibraFit::RmsPRF(TH1 *projPRF) | |
5220 | { | |
5221 | // | |
5222 | // Fit methode for the sigma of the pad response function | |
5223 | // | |
5224 | fCurrentCoef[0] = 0.0; | |
5225 | fCurrentCoefE = 0.0; | |
5226 | if (fDebugLevel == 1) { | |
5227 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); | |
5228 | cfit->cd(); | |
5229 | projPRF->Draw(); | |
55a288e5 | 5230 | } |
3a0f6479 | 5231 | fCurrentCoef[0] = projPRF->GetRMS(); |
5232 | if(fCurrentCoef[0] <= 0.0) fCurrentCoef[0] = -fCurrentCoef[1]; | |
5233 | else { | |
5234 | fNumberFitSuccess++; | |
55a288e5 | 5235 | } |
55a288e5 | 5236 | } |
55a288e5 | 5237 | //_____________________________________________________________________________ |
3a0f6479 | 5238 | void AliTRDCalibraFit::FitTnpRange(Double_t *arraye, Double_t *arraym, Double_t *arrayme, Int_t nbg, Int_t nybins) |
55a288e5 | 5239 | { |
5240 | // | |
3a0f6479 | 5241 | // Fit methode for the sigma of the pad response function with 2*nbg tan bins |
55a288e5 | 5242 | // |
5243 | ||
3a0f6479 | 5244 | TLinearFitter linearfitter = TLinearFitter(3,"pol2"); |
55a288e5 | 5245 | |
55a288e5 | 5246 | |
3a0f6479 | 5247 | Int_t nbins = (Int_t)(nybins/(2*nbg)); |
5248 | Float_t lowedge = -3.0*nbg; | |
5249 | Float_t upedge = lowedge + 3.0; | |
5250 | Int_t offset = 0; | |
5251 | Int_t npoints = 0; | |
5252 | Double_t xvalues = -0.2*nbg+0.1; | |
5253 | Double_t y = 0.0; | |
5254 | Int_t total = 2*nbg; | |
55a288e5 | 5255 | |
3a0f6479 | 5256 | |
5257 | for(Int_t k = 0; k < total; k++){ | |
5258 | if(FitPRFGausMI(arraye+offset, arraym+offset, arrayme+offset, nbins, lowedge, upedge)){ | |
5259 | npoints++; | |
5260 | y = fCurrentCoef[0]*fCurrentCoef[0]; | |
5261 | linearfitter.AddPoint(&xvalues,y,2*fCurrentCoefE*fCurrentCoef[0]); | |
5262 | } | |
5263 | ||
5264 | if(fDebugLevel > 1){ | |
5265 | ||
5266 | if ( !fDebugStreamer ) { | |
5267 | //debug stream | |
5268 | TDirectory *backup = gDirectory; | |
4aad967c | 5269 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5270 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5271 | } | |
5272 | ||
5273 | Int_t detector = fCountDet; | |
053767a4 | 5274 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5275 | Int_t nbtotal = total; |
5276 | Int_t group = k; | |
5277 | Float_t low = lowedge; | |
5278 | Float_t up = upedge; | |
5279 | Float_t tnp = xvalues; | |
5280 | Float_t wid = fCurrentCoef[0]; | |
5281 | Float_t widfE = fCurrentCoefE; | |
5282 | ||
413153cb | 5283 | (* fDebugStreamer) << "FitTnpRange0"<< |
3a0f6479 | 5284 | "detector="<<detector<< |
053767a4 | 5285 | "layer="<<layer<< |
3a0f6479 | 5286 | "nbtotal="<<nbtotal<< |
5287 | "group="<<group<< | |
5288 | "low="<<low<< | |
5289 | "up="<<up<< | |
5290 | "offset="<<offset<< | |
5291 | "tnp="<<tnp<< | |
5292 | "wid="<<wid<< | |
5293 | "widfE="<<widfE<< | |
5294 | "\n"; | |
5295 | } | |
5296 | ||
5297 | offset += nbins; | |
5298 | lowedge += 3.0; | |
5299 | upedge += 3.0; | |
5300 | xvalues += 0.2; | |
5301 | ||
5302 | } | |
5303 | ||
5304 | fCurrentCoefE = 0.0; | |
5305 | fCurrentCoef[0] = 0.0; | |
5306 | ||
5307 | //printf("npoints\n",npoints); | |
5308 | ||
5309 | if(npoints < 3){ | |
5310 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5311 | } | |
5312 | else{ | |
5313 | ||
5314 | TVectorD pars0; | |
5315 | linearfitter.Eval(); | |
5316 | linearfitter.GetParameters(pars0); | |
5317 | Double_t pointError0 = TMath::Sqrt(linearfitter.GetChisquare()/npoints); | |
5318 | Double_t errorsx0 = linearfitter.GetParError(2)*pointError0; | |
5319 | Double_t min0 = 0.0; | |
5320 | Double_t ermin0 = 0.0; | |
5321 | //Double_t prfe0 = 0.0; | |
5322 | Double_t prf0 = 0.0; | |
daa7dc79 | 5323 | if((pars0[2] > 0.000000000001) && (TMath::Abs(pars0[1]) >= 0.000000000001)) { |
3a0f6479 | 5324 | min0 = -pars0[1]/(2*pars0[2]); |
5325 | ermin0 = TMath::Abs(min0*(errorsx0/pars0[2]+linearfitter.GetParError(1)*pointError0/pars0[1])); | |
5326 | prf0 = pars0[0]+pars0[1]*min0+pars0[2]*min0*min0; | |
5327 | if(prf0 > 0.0) { | |
5328 | /* | |
5329 | prfe0 = linearfitter->GetParError(0)*pointError0 | |
5330 | +(linearfitter->GetParError(1)*pointError0/pars0[1]+ermin0/min0)*pars0[1]*min0 | |
5331 | +(linearfitter->GetParError(2)*pointError0/pars0[2]+2*ermin0/min0)*pars0[2]*min0*min0; | |
5332 | prfe0 = prfe0/(2*TMath::Sqrt(prf0)); | |
5333 | fCurrentCoefE = (Float_t) prfe0; | |
5334 | */ | |
5335 | fCurrentCoef[0] = (Float_t) TMath::Sqrt(TMath::Abs(prf0)); | |
5336 | } | |
5337 | else{ | |
5338 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5339 | } | |
5340 | } | |
5341 | else { | |
5342 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
5343 | } | |
55a288e5 | 5344 | |
3a0f6479 | 5345 | if(fDebugLevel > 1){ |
5346 | ||
5347 | if ( !fDebugStreamer ) { | |
5348 | //debug stream | |
5349 | TDirectory *backup = gDirectory; | |
4aad967c | 5350 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitPRF.root"); |
3a0f6479 | 5351 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5352 | } | |
5353 | ||
5354 | Int_t detector = fCountDet; | |
053767a4 | 5355 | Int_t layer = GetLayer(fCountDet); |
3a0f6479 | 5356 | Int_t nbtotal = total; |
5357 | Double_t colsize[6] = {0.635,0.665,0.695,0.725,0.755,0.785}; | |
053767a4 | 5358 | Double_t sigmax = TMath::Sqrt(TMath::Abs(pars0[2]))*10000*colsize[layer]; |
3a0f6479 | 5359 | |
413153cb | 5360 | (* fDebugStreamer) << "FitTnpRange1"<< |
3a0f6479 | 5361 | "detector="<<detector<< |
053767a4 | 5362 | "layer="<<layer<< |
3a0f6479 | 5363 | "nbtotal="<<nbtotal<< |
5364 | "par0="<<pars0[0]<< | |
5365 | "par1="<<pars0[1]<< | |
5366 | "par2="<<pars0[2]<< | |
5367 | "npoints="<<npoints<< | |
5368 | "sigmax="<<sigmax<< | |
5369 | "tan="<<min0<< | |
5370 | "sigmaprf="<<fCurrentCoef[0]<< | |
5371 | "sigprf="<<fCurrentCoef[1]<< | |
5372 | "\n"; | |
5373 | } | |
5374 | ||
55a288e5 | 5375 | } |
5376 | ||
5377 | } | |
55a288e5 | 5378 | //_____________________________________________________________________________ |
3a0f6479 | 5379 | void AliTRDCalibraFit::FitMean(TH1 *projch, Double_t nentries, Double_t mean) |
55a288e5 | 5380 | { |
5381 | // | |
5382 | // Only mean methode for the gain factor | |
5383 | // | |
5384 | ||
3a0f6479 | 5385 | fCurrentCoef[0] = mean; |
5386 | fCurrentCoefE = 0.0; | |
5387 | if(nentries > 0) fCurrentCoefE = projch->GetRMS()/TMath::Sqrt(nentries); | |
5388 | if (fDebugLevel == 1) { | |
55a288e5 | 5389 | TCanvas *cpmean = new TCanvas("cpmean","cpmean",50,50,600,800); |
5390 | cpmean->cd(); | |
5391 | projch->Draw(); | |
5392 | } | |
3a0f6479 | 5393 | CalculChargeCoefMean(kTRUE); |
5394 | fNumberFitSuccess++; | |
55a288e5 | 5395 | } |
55a288e5 | 5396 | //_____________________________________________________________________________ |
3a0f6479 | 5397 | void AliTRDCalibraFit::FitMeanW(TH1 *projch, Double_t nentries) |
55a288e5 | 5398 | { |
5399 | // | |
5400 | // mean w methode for the gain factor | |
5401 | // | |
5402 | ||
5403 | //Number of bins | |
5404 | Int_t nybins = projch->GetNbinsX(); | |
5405 | ||
5406 | //The weight function | |
5407 | Double_t a = 0.00228515; | |
5408 | Double_t b = -0.00231487; | |
5409 | Double_t c = 0.00044298; | |
5410 | Double_t d = -0.00379239; | |
5411 | Double_t e = 0.00338349; | |
5412 | ||
3a0f6479 | 5413 | // 0 |0.00228515 |
5414 | // 1 |-0.00231487 | |
5415 | // 2 |0.00044298 | |
5416 | // 3 |-0.00379239 | |
5417 | // 4 |0.00338349 | |
5418 | ||
5419 | ||
55a288e5 | 5420 | |
5421 | //A arbitrary error for the moment | |
3a0f6479 | 5422 | fCurrentCoefE = 0.0; |
5423 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 5424 | |
5425 | //Calcul | |
5426 | Double_t sumw = 0.0; | |
5427 | Double_t sum = 0.0; | |
3a0f6479 | 5428 | Float_t sumAll = (Float_t) nentries; |
55a288e5 | 5429 | Int_t sumCurrent = 0; |
5430 | for(Int_t k = 0; k <nybins; k++){ | |
5431 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
5432 | if (fraction>0.95) break; | |
5433 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
5434 | e*fraction*fraction*fraction*fraction; | |
5435 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
5436 | sum += weight*projch->GetBinContent(k+1); | |
5437 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
5438 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
5439 | } | |
3a0f6479 | 5440 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 5441 | |
3a0f6479 | 5442 | if (fDebugLevel == 1) { |
55a288e5 | 5443 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); |
5444 | cpmeanw->cd(); | |
5445 | projch->Draw(); | |
5446 | } | |
3a0f6479 | 5447 | fNumberFitSuccess++; |
5448 | CalculChargeCoefMean(kTRUE); | |
5449 | } | |
5450 | //_____________________________________________________________________________ | |
5451 | void AliTRDCalibraFit::FitMeanWSm(TH1 *projch, Float_t sumAll) | |
5452 | { | |
5453 | // | |
5454 | // mean w methode for the gain factor | |
5455 | // | |
5456 | ||
5457 | //Number of bins | |
5458 | Int_t nybins = projch->GetNbinsX(); | |
5459 | ||
5460 | //The weight function | |
5461 | Double_t a = 0.00228515; | |
5462 | Double_t b = -0.00231487; | |
5463 | Double_t c = 0.00044298; | |
5464 | Double_t d = -0.00379239; | |
5465 | Double_t e = 0.00338349; | |
5466 | ||
5467 | // 0 |0.00228515 | |
5468 | // 1 |-0.00231487 | |
5469 | // 2 |0.00044298 | |
5470 | // 3 |-0.00379239 | |
5471 | // 4 |0.00338349 | |
5472 | ||
5473 | ||
5474 | ||
5475 | //A arbitrary error for the moment | |
5476 | fCurrentCoefE = 0.0; | |
5477 | fCurrentCoef[0] = 0.0; | |
55a288e5 | 5478 | |
3a0f6479 | 5479 | //Calcul |
5480 | Double_t sumw = 0.0; | |
5481 | Double_t sum = 0.0; | |
5482 | Int_t sumCurrent = 0; | |
5483 | for(Int_t k = 0; k <nybins; k++){ | |
5484 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
5485 | if (fraction>0.95) break; | |
5486 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
5487 | e*fraction*fraction*fraction*fraction; | |
5488 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
5489 | sum += weight*projch->GetBinContent(k+1); | |
5490 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
5491 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
55a288e5 | 5492 | } |
3a0f6479 | 5493 | if(sum > 0.0) fCurrentCoef[0] = (sumw/sum); |
55a288e5 | 5494 | |
3a0f6479 | 5495 | if (fDebugLevel == 1) { |
5496 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); | |
5497 | cpmeanw->cd(); | |
5498 | projch->Draw(); | |
5499 | } | |
5500 | fNumberFitSuccess++; | |
55a288e5 | 5501 | } |
55a288e5 | 5502 | //_____________________________________________________________________________ |
3a0f6479 | 5503 | void AliTRDCalibraFit::FitCH(TH1 *projch, Double_t mean) |
55a288e5 | 5504 | { |
5505 | // | |
5506 | // Fit methode for the gain factor | |
5507 | // | |
5508 | ||
3a0f6479 | 5509 | fCurrentCoef[0] = 0.0; |
5510 | fCurrentCoefE = 0.0; | |
55a288e5 | 5511 | Double_t chisqrl = 0.0; |
5512 | Double_t chisqrg = 0.0; | |
3a0f6479 | 5513 | Double_t chisqr = 0.0; |
55a288e5 | 5514 | TF1 *fLandauGaus = new TF1("fLandauGaus",FuncLandauGaus,0,300,5); |
5515 | ||
5516 | projch->Fit("landau","0","" | |
3a0f6479 | 5517 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5518 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5519 | Double_t l3P0 = projch->GetFunction("landau")->GetParameter(0); | |
5520 | Double_t l3P1 = projch->GetFunction("landau")->GetParameter(1); | |
5521 | Double_t l3P2 = projch->GetFunction("landau")->GetParameter(2); | |
5522 | chisqrl = projch->GetFunction("landau")->GetChisquare(); | |
5523 | ||
5524 | projch->Fit("gaus","0","" | |
3a0f6479 | 5525 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5526 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5527 | Double_t g3P0 = projch->GetFunction("gaus")->GetParameter(0); | |
5528 | Double_t g3P2 = projch->GetFunction("gaus")->GetParameter(2); | |
5529 | chisqrg = projch->GetFunction("gaus")->GetChisquare(); | |
5530 | ||
5531 | fLandauGaus->SetParameters(l3P0,l3P1,l3P2,g3P0,g3P2); | |
3a0f6479 | 5532 | if (fDebugLevel != 1) { |
55a288e5 | 5533 | projch->Fit("fLandauGaus","0","" |
3a0f6479 | 5534 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5535 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5536 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
3a0f6479 | 5537 | } |
5538 | else { | |
55a288e5 | 5539 | TCanvas *cp = new TCanvas("cp","cp",50,50,600,800); |
5540 | cp->cd(); | |
5541 | projch->Fit("fLandauGaus","+","" | |
3a0f6479 | 5542 | ,(Double_t) mean/fBeginFitCharge |
55a288e5 | 5543 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5544 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
5545 | projch->Draw(); | |
5546 | fLandauGaus->Draw("same"); | |
5547 | } | |
5548 | ||
3a0f6479 | 5549 | if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (projch->GetFunction("fLandauGaus")->GetParError(1) < (0.05*projch->GetFunction("fLandauGaus")->GetParameter(1))) && (chisqr < chisqrl) && (chisqr < chisqrg)) { |
5550 | //if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && (chisqr < chisqrl) && (chisqr < chisqrg)) { | |
5551 | fNumberFitSuccess++; | |
5552 | CalculChargeCoefMean(kTRUE); | |
5553 | fCurrentCoef[0] = projch->GetFunction("fLandauGaus")->GetParameter(1); | |
5554 | fCurrentCoefE = projch->GetFunction("fLandauGaus")->GetParError(1); | |
55a288e5 | 5555 | } |
5556 | else { | |
3a0f6479 | 5557 | CalculChargeCoefMean(kFALSE); |
5558 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 5559 | } |
5560 | ||
3a0f6479 | 5561 | if (fDebugLevel != 1) { |
55a288e5 | 5562 | delete fLandauGaus; |
5563 | } | |
5564 | ||
5565 | } | |
55a288e5 | 5566 | //_____________________________________________________________________________ |
3a0f6479 | 5567 | void AliTRDCalibraFit::FitBisCH(TH1* projch, Double_t mean) |
55a288e5 | 5568 | { |
5569 | // | |
5570 | // Fit methode for the gain factor more time consuming | |
5571 | // | |
5572 | ||
3a0f6479 | 5573 | |
55a288e5 | 5574 | //Some parameters to initialise |
e6381f8e | 5575 | Double_t widthLandau, widthGaus, mPV, integral; |
55a288e5 | 5576 | Double_t chisquarel = 0.0; |
5577 | Double_t chisquareg = 0.0; | |
55a288e5 | 5578 | projch->Fit("landau","0M+","" |
3a0f6479 | 5579 | ,(Double_t) mean/6 |
55a288e5 | 5580 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5581 | widthLandau = projch->GetFunction("landau")->GetParameter(2); | |
5582 | chisquarel = projch->GetFunction("landau")->GetChisquare(); | |
55a288e5 | 5583 | projch->Fit("gaus","0M+","" |
3a0f6479 | 5584 | ,(Double_t) mean/6 |
55a288e5 | 5585 | ,projch->GetBinCenter(projch->GetNbinsX())); |
5586 | widthGaus = projch->GetFunction("gaus")->GetParameter(2); | |
5587 | chisquareg = projch->GetFunction("gaus")->GetChisquare(); | |
3a0f6479 | 5588 | |
e6381f8e | 5589 | mPV = (projch->GetFunction("landau")->GetParameter(1))/2; |
5590 | integral = (projch->GetFunction("gaus")->Integral(0.3*mean,3*mean)+projch->GetFunction("landau")->Integral(0.3*mean,3*mean))/2; | |
3a0f6479 | 5591 | |
55a288e5 | 5592 | // Setting fit range and start values |
5593 | Double_t fr[2]; | |
5594 | //Double_t sv[4] = { l3P2, fChargeCoef[1], projch->Integral("width"), fG3P2 }; | |
5595 | //Double_t sv[4] = { fL3P2, fChargeCoef[1], fL3P0, fG3P2 }; | |
e6381f8e | 5596 | Double_t sv[4] = { widthLandau, mPV, integral, widthGaus}; |
55a288e5 | 5597 | Double_t pllo[4] = { 0.001, 0.001, projch->Integral()/3, 0.001}; |
5598 | Double_t plhi[4] = { 300.0, 300.0, 30*projch->Integral(), 300.0}; | |
5599 | Double_t fp[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
5600 | Double_t fpe[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
3a0f6479 | 5601 | fr[0] = 0.3 * mean; |
5602 | fr[1] = 3.0 * mean; | |
5603 | fCurrentCoef[0] = 0.0; | |
5604 | fCurrentCoefE = 0.0; | |
55a288e5 | 5605 | |
5606 | Double_t chisqr; | |
5607 | Int_t ndf; | |
5608 | TF1 *fitsnr = LanGauFit(projch,&fr[0],&sv[0] | |
5609 | ,&pllo[0],&plhi[0] | |
5610 | ,&fp[0],&fpe[0] | |
5611 | ,&chisqr,&ndf); | |
5612 | ||
5613 | Double_t projchPeak; | |
5614 | Double_t projchFWHM; | |
5615 | LanGauPro(fp,projchPeak,projchFWHM); | |
5616 | ||
5617 | if ((fp[1] > 0) && ((fpe[1] < (0.05*fp[1])) && (chisqr < chisquarel) && (chisqr < chisquareg))) { | |
5618 | //if ((fp[1] > 0) && ((chisqr < chisquarel) && (chisqr < chisquareg))) { | |
3a0f6479 | 5619 | fNumberFitSuccess++; |
5620 | CalculChargeCoefMean(kTRUE); | |
5621 | fCurrentCoef[0] = fp[1]; | |
5622 | fCurrentCoefE = fpe[1]; | |
55a288e5 | 5623 | //chargeCoefE2 = chisqr; |
5624 | } | |
5625 | else { | |
3a0f6479 | 5626 | CalculChargeCoefMean(kFALSE); |
5627 | fCurrentCoef[0] = -TMath::Abs(fCurrentCoef[1]); | |
55a288e5 | 5628 | } |
3a0f6479 | 5629 | if (fDebugLevel == 1) { |
5630 | AliInfo(Form("fChargeCoef[0]: %f",(Float_t) fCurrentCoef[0])); | |
55a288e5 | 5631 | TCanvas *cpy = new TCanvas("cpy","cpy",50,50,600,800); |
5632 | cpy->cd(); | |
5633 | projch->Draw(); | |
5634 | fitsnr->Draw("same"); | |
5635 | } | |
3a0f6479 | 5636 | else { |
55a288e5 | 5637 | delete fitsnr; |
5638 | } | |
3a0f6479 | 5639 | } |
55a288e5 | 5640 | //_____________________________________________________________________________ |
3b0c1edc | 5641 | void AliTRDCalibraFit::CalculPolynomeLagrange2(const Double_t *x, const Double_t *y, Double_t &c0, Double_t &c1, Double_t &c2, Double_t &c3, Double_t &c4) const |
55a288e5 | 5642 | { |
5643 | // | |
5644 | // Calcul the coefficients of the polynome passant par ces trois points de degre 2 | |
5645 | // | |
55a288e5 | 5646 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])); |
5647 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])); | |
5648 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])); | |
5649 | ||
3b0c1edc | 5650 | c4 = 0.0; |
5651 | c3 = 0.0; | |
5652 | c2 = x0+x1+x2; | |
5653 | c1 = -(x0*(x[1]+x[2])+x1*(x[0]+x[2])+x2*(x[0]+x[1])); | |
5654 | c0 = x0*x[1]*x[2]+x1*x[0]*x[2]+x2*x[0]*x[1]; | |
3a0f6479 | 5655 | |
55a288e5 | 5656 | } |
5657 | ||
5658 | //_____________________________________________________________________________ | |
3b0c1edc | 5659 | void AliTRDCalibraFit::CalculPolynomeLagrange3(const Double_t *x, const Double_t *y, Double_t &c0, Double_t &c1, Double_t &c2, Double_t &c3, Double_t &c4) const |
55a288e5 | 5660 | { |
5661 | // | |
5662 | // Calcul the coefficients of the polynome passant par ces quatre points de degre 3 | |
5663 | // | |
55a288e5 | 5664 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])); |
5665 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])); | |
5666 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])); | |
5667 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])); | |
5668 | ||
3b0c1edc | 5669 | c4 = 0.0; |
5670 | c3 = x0+x1+x2+x3; | |
5671 | c2 = -(x0*(x[1]+x[2]+x[3]) | |
55a288e5 | 5672 | +x1*(x[0]+x[2]+x[3]) |
5673 | +x2*(x[0]+x[1]+x[3]) | |
5674 | +x3*(x[0]+x[1]+x[2])); | |
3b0c1edc | 5675 | c1 = (x0*(x[1]*x[2]+x[1]*x[3]+x[2]*x[3]) |
55a288e5 | 5676 | +x1*(x[0]*x[2]+x[0]*x[3]+x[2]*x[3]) |
5677 | +x2*(x[0]*x[1]+x[0]*x[3]+x[1]*x[3]) | |
5678 | +x3*(x[0]*x[1]+x[0]*x[2]+x[1]*x[2])); | |
5679 | ||
3b0c1edc | 5680 | c0 = -(x0*x[1]*x[2]*x[3] |
55a288e5 | 5681 | +x1*x[0]*x[2]*x[3] |
5682 | +x2*x[0]*x[1]*x[3] | |
5683 | +x3*x[0]*x[1]*x[2]); | |
5684 | ||
3a0f6479 | 5685 | |
55a288e5 | 5686 | } |
5687 | ||
5688 | //_____________________________________________________________________________ | |
3b0c1edc | 5689 | void AliTRDCalibraFit::CalculPolynomeLagrange4(const Double_t *x, const Double_t *y, Double_t &c0, Double_t &c1, Double_t &c2, Double_t &c3, Double_t &c4) const |
55a288e5 | 5690 | { |
5691 | // | |
5692 | // Calcul the coefficients of the polynome passant par ces cinqs points de degre 4 | |
5693 | // | |
55a288e5 | 5694 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])*(x[0]-x[4])); |
5695 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])*(x[1]-x[4])); | |
5696 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])*(x[2]-x[4])); | |
5697 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])*(x[3]-x[4])); | |
5698 | Double_t x4 = y[4]/((x[4]-x[0])*(x[4]-x[1])*(x[4]-x[2])*(x[4]-x[3])); | |
3a0f6479 | 5699 | |
55a288e5 | 5700 | |
3b0c1edc | 5701 | c4 = x0+x1+x2+x3+x4; |
5702 | c3 = -(x0*(x[1]+x[2]+x[3]+x[4]) | |
55a288e5 | 5703 | +x1*(x[0]+x[2]+x[3]+x[4]) |
5704 | +x2*(x[0]+x[1]+x[3]+x[4]) | |
5705 | +x3*(x[0]+x[1]+x[2]+x[4]) | |
5706 | +x4*(x[0]+x[1]+x[2]+x[3])); | |
3b0c1edc | 5707 | c2 = (x0*(x[1]*x[2]+x[1]*x[3]+x[1]*x[4]+x[2]*x[3]+x[2]*x[4]+x[3]*x[4]) |
55a288e5 | 5708 | +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]) |
5709 | +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]) | |
5710 | +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]) | |
5711 | +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])); | |
5712 | ||
3b0c1edc | 5713 | c1 = -(x0*(x[1]*x[2]*x[3]+x[1]*x[2]*x[4]+x[1]*x[3]*x[4]+x[2]*x[3]*x[4]) |
55a288e5 | 5714 | +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]) |
5715 | +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]) | |
5716 | +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]) | |
5717 | +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])); | |
5718 | ||
3b0c1edc | 5719 | c0 = (x0*x[1]*x[2]*x[3]*x[4] |
55a288e5 | 5720 | +x1*x[0]*x[2]*x[3]*x[4] |
5721 | +x2*x[0]*x[1]*x[3]*x[4] | |
5722 | +x3*x[0]*x[1]*x[2]*x[4] | |
5723 | +x4*x[0]*x[1]*x[2]*x[3]); | |
5724 | ||
55a288e5 | 5725 | } |
55a288e5 | 5726 | //_____________________________________________________________________________ |
5727 | void AliTRDCalibraFit::NormierungCharge() | |
5728 | { | |
5729 | // | |
5730 | // Normalisation of the gain factor resulting for the fits | |
5731 | // | |
5732 | ||
5733 | // Calcul of the mean of choosen method by fFitChargeNDB | |
5734 | Double_t sum = 0.0; | |
5735 | //printf("total number of entries %d\n",fVectorFitCH->GetEntriesFast()); | |
3a0f6479 | 5736 | for (Int_t k = 0; k < (Int_t) fVectorFit.GetEntriesFast(); k++) { |
55a288e5 | 5737 | Int_t total = 0; |
3a0f6479 | 5738 | Int_t detector = ((AliTRDFitInfo *) fVectorFit.At(k))->GetDetector(); |
5739 | Float_t *coef = ((AliTRDFitInfo *) fVectorFit.At(k))->GetCoef(); | |
55a288e5 | 5740 | //printf("detector %d coef[0] %f\n",detector,coef[0]); |
053767a4 | 5741 | if (GetStack(detector) == 2) { |
55a288e5 | 5742 | total = 1728; |
5743 | } | |
053767a4 | 5744 | if (GetStack(detector) != 2) { |
55a288e5 | 5745 | total = 2304; |
5746 | } | |
5747 | for (Int_t j = 0; j < total; j++) { | |
5748 | if (coef[j] >= 0) { | |
5749 | sum += coef[j]; | |
5750 | } | |
5751 | } | |
5752 | } | |
5753 | ||
5754 | if (sum > 0) { | |
5755 | fScaleFitFactor = fScaleFitFactor / sum; | |
5756 | } | |
5757 | else { | |
5758 | fScaleFitFactor = 1.0; | |
3a0f6479 | 5759 | } |
55a288e5 | 5760 | |
3a0f6479 | 5761 | //methode de boeuf mais bon... |
5762 | Double_t scalefactor = fScaleFitFactor; | |
55a288e5 | 5763 | |
3a0f6479 | 5764 | if(fDebugLevel > 1){ |
5765 | ||
5766 | if ( !fDebugStreamer ) { | |
5767 | //debug stream | |
5768 | TDirectory *backup = gDirectory; | |
4aad967c | 5769 | fDebugStreamer = new TTreeSRedirector("TRDDebugFitCH.root"); |
3a0f6479 | 5770 | if ( backup ) backup->cd(); //we don't want to be cd'd to the debug streamer |
5771 | } | |
413153cb | 5772 | (* fDebugStreamer) << "NormierungCharge"<< |
3a0f6479 | 5773 | "scalefactor="<<scalefactor<< |
5774 | "\n"; | |
5775 | } | |
55a288e5 | 5776 | } |
55a288e5 | 5777 | //_____________________________________________________________________________ |
979b168f | 5778 | TH1I *AliTRDCalibraFit::ReBin(const TH1I *hist) const |
55a288e5 | 5779 | { |
5780 | // | |
5781 | // Rebin of the 1D histo for the gain calibration if needed. | |
5782 | // you have to choose fRebin, divider of fNumberBinCharge | |
5783 | // | |
5784 | ||
3a0f6479 | 5785 | TAxis *xhist = hist->GetXaxis(); |
5786 | TH1I *rehist = new TH1I("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
5787 | ,xhist->GetBinLowEdge(1) | |
5788 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
55a288e5 | 5789 | |
3a0f6479 | 5790 | AliInfo(Form("fRebin: %d",fRebin)); |
5791 | Int_t i = 1; | |
5792 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
5793 | Double_t sum = 0.0; | |
5794 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
5795 | sum += hist->GetBinContent(ji); | |
5796 | } | |
5797 | sum = sum / fRebin; | |
5798 | rehist->SetBinContent(k,sum); | |
5799 | i += fRebin; | |
5800 | } | |
55a288e5 | 5801 | |
3a0f6479 | 5802 | return rehist; |
55a288e5 | 5803 | |
5804 | } | |
5805 | ||
5806 | //_____________________________________________________________________________ | |
979b168f | 5807 | TH1F *AliTRDCalibraFit::ReBin(const TH1F *hist) const |
55a288e5 | 5808 | { |
5809 | // | |
5810 | // Rebin of the 1D histo for the gain calibration if needed | |
5811 | // you have to choose fRebin divider of fNumberBinCharge | |
5812 | // | |
5813 | ||
5814 | TAxis *xhist = hist->GetXaxis(); | |
5815 | TH1F *rehist = new TH1F("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
5816 | ,xhist->GetBinLowEdge(1) | |
5817 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
5818 | ||
5819 | AliInfo(Form("fRebin: %d",fRebin)); | |
5820 | Int_t i = 1; | |
5821 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
5822 | Double_t sum = 0.0; | |
5823 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
5824 | sum += hist->GetBinContent(ji); | |
5825 | } | |
5826 | sum = sum/fRebin; | |
5827 | rehist->SetBinContent(k,sum); | |
5828 | i += fRebin; | |
5829 | } | |
5830 | ||
55a288e5 | 5831 | return rehist; |
5832 | ||
55a288e5 | 5833 | } |
55a288e5 | 5834 | // |
5835 | //____________Some basic geometry function_____________________________________ | |
5836 | // | |
5837 | ||
5838 | //_____________________________________________________________________________ | |
053767a4 | 5839 | Int_t AliTRDCalibraFit::GetLayer(Int_t d) const |
55a288e5 | 5840 | { |
5841 | // | |
5842 | // Reconstruct the plane number from the detector number | |
5843 | // | |
5844 | ||
5845 | return ((Int_t) (d % 6)); | |
5846 | ||
5847 | } | |
5848 | ||
5849 | //_____________________________________________________________________________ | |
053767a4 | 5850 | Int_t AliTRDCalibraFit::GetStack(Int_t d) const |
55a288e5 | 5851 | { |
5852 | // | |
053767a4 | 5853 | // Reconstruct the stack number from the detector number |
55a288e5 | 5854 | // |
053767a4 | 5855 | const Int_t kNlayer = 6; |
55a288e5 | 5856 | |
053767a4 | 5857 | return ((Int_t) (d % 30) / kNlayer); |
55a288e5 | 5858 | |
5859 | } | |
5860 | ||
5861 | //_____________________________________________________________________________ | |
5862 | Int_t AliTRDCalibraFit::GetSector(Int_t d) const | |
5863 | { | |
5864 | // | |
5865 | // Reconstruct the sector number from the detector number | |
5866 | // | |
5867 | Int_t fg = 30; | |
5868 | ||
5869 | return ((Int_t) (d / fg)); | |
5870 | ||
5871 | } | |
5872 | ||
5873 | // | |
5874 | //____________Fill and Init tree Gain, PRF, Vdrift and T0______________________ | |
5875 | // | |
3a0f6479 | 5876 | //_______________________________________________________________________________ |
5877 | void AliTRDCalibraFit::ResetVectorFit() | |
55a288e5 | 5878 | { |
e6381f8e | 5879 | // |
5880 | // Reset the VectorFits | |
5881 | // | |
5882 | ||
3a0f6479 | 5883 | fVectorFit.SetOwner(); |
5884 | fVectorFit.Clear(); | |
5885 | fVectorFit2.SetOwner(); | |
5886 | fVectorFit2.Clear(); | |
55a288e5 | 5887 | |
55a288e5 | 5888 | } |
55a288e5 | 5889 | // |
5890 | //____________Private Functions________________________________________________ | |
5891 | // | |
5892 | ||
5893 | //_____________________________________________________________________________ | |
979b168f | 5894 | Double_t AliTRDCalibraFit::PH(const Double_t *x, const Double_t *par) |
55a288e5 | 5895 | { |
5896 | // | |
5897 | // Function for the fit | |
5898 | // | |
5899 | ||
5900 | //TF1 *fAsymmGauss = new TF1("fAsymmGauss",AsymmGauss,0,4,6); | |
5901 | ||
5902 | //PARAMETERS FOR FIT PH | |
5903 | // PASAv.4 | |
5904 | //fAsymmGauss->SetParameter(0,0.113755); | |
5905 | //fAsymmGauss->SetParameter(1,0.350706); | |
5906 | //fAsymmGauss->SetParameter(2,0.0604244); | |
5907 | //fAsymmGauss->SetParameter(3,7.65596); | |
5908 | //fAsymmGauss->SetParameter(4,1.00124); | |
5909 | //fAsymmGauss->SetParameter(5,0.870597); // No tail cancelation | |
5910 | ||
5911 | Double_t xx = x[0]; | |
5912 | ||
5913 | if (xx < par[1]) { | |
5914 | return par[5]; | |
5915 | } | |
5916 | ||
5917 | Double_t dx = 0.005; | |
5918 | Double_t xs = par[1]; | |
5919 | Double_t ss = 0.0; | |
5920 | Double_t paras[2] = { 0.0, 0.0 }; | |
5921 | ||
5922 | while (xs < xx) { | |
5923 | if ((xs >= par[1]) && | |
5924 | (xs < (par[1]+par[2]))) { | |
5925 | //fAsymmGauss->SetParameter(0,par[0]); | |
5926 | //fAsymmGauss->SetParameter(1,xs); | |
5927 | //ss += fAsymmGauss->Eval(xx); | |
5928 | paras[0] = par[0]; | |
5929 | paras[1] = xs; | |
5930 | ss += AsymmGauss(&xx,paras); | |
5931 | } | |
5932 | if ((xs >= (par[1]+par[2])) && | |
5933 | (xs < (par[1]+par[2]+par[3]))) { | |
5934 | //fAsymmGauss->SetParameter(0,par[0]*par[4]); | |
5935 | //fAsymmGauss->SetParameter(1,xs); | |
5936 | //ss += fAsymmGauss->Eval(xx); | |
5937 | paras[0] = par[0]*par[4]; | |
5938 | paras[1] = xs; | |
5939 | ss += AsymmGauss(&xx,paras); | |
5940 | } | |
5941 | xs += dx; | |
5942 | } | |
5943 | ||
5944 | return ss + par[5]; | |
5945 | ||
5946 | } | |
5947 | ||
5948 | //_____________________________________________________________________________ | |
979b168f | 5949 | Double_t AliTRDCalibraFit::AsymmGauss(const Double_t *x, const Double_t *par) |
55a288e5 | 5950 | { |
5951 | // | |
5952 | // Function for the fit | |
5953 | // | |
5954 | ||
5955 | //par[0] = normalization | |
5956 | //par[1] = mean | |
5957 | //par[2] = sigma | |
5958 | //norm0 = 1 | |
5959 | //par[3] = lambda0 | |
5960 | //par[4] = norm1 | |
5961 | //par[5] = lambda1 | |
5962 | ||
5963 | Double_t par1save = par[1]; | |
5964 | //Double_t par2save = par[2]; | |
5965 | Double_t par2save = 0.0604244; | |
5966 | //Double_t par3save = par[3]; | |
5967 | Double_t par3save = 7.65596; | |
5968 | //Double_t par5save = par[5]; | |
5969 | Double_t par5save = 0.870597; | |
5970 | Double_t dx = x[0] - par1save; | |
5971 | ||
5972 | Double_t sigma2 = par2save*par2save; | |
5973 | Double_t sqrt2 = TMath::Sqrt(2.0); | |
5974 | Double_t exp1 = par3save * TMath::Exp(-par3save * (dx - 0.5 * par3save * sigma2)) | |
bb7e41dd | 5975 | * (1.0 - AliMathBase::ErfFast((par3save * sigma2 - dx) / (sqrt2 * par2save))); |
55a288e5 | 5976 | Double_t exp2 = par5save * TMath::Exp(-par5save * (dx - 0.5 * par5save * sigma2)) |
bb7e41dd | 5977 | * (1.0 - AliMathBase::ErfFast((par5save * sigma2 - dx) / (sqrt2 * par2save))); |
55a288e5 | 5978 | |
5979 | //return par[0]*(exp1+par[4]*exp2); | |
5980 | return par[0] * (exp1 + 1.00124 * exp2); | |
5981 | ||
5982 | } | |
5983 | ||
5984 | //_____________________________________________________________________________ | |
979b168f | 5985 | Double_t AliTRDCalibraFit::FuncLandauGaus(const Double_t *x, const Double_t *par) |
55a288e5 | 5986 | { |
5987 | // | |
5988 | // Sum Landau + Gaus with identical mean | |
5989 | // | |
5990 | ||
5991 | Double_t valLandau = par[0] * TMath::Landau(x[0],par[1],par[2]); | |
5992 | //Double_t valGaus = par[3] * TMath::Gaus(x[0],par[4],par[5]); | |
5993 | Double_t valGaus = par[3] * TMath::Gaus(x[0],par[1],par[4]); | |
5994 | Double_t val = valLandau + valGaus; | |
5995 | ||
5996 | return val; | |
5997 | ||
5998 | } | |
5999 | ||
6000 | //_____________________________________________________________________________ | |
979b168f | 6001 | Double_t AliTRDCalibraFit::LanGauFun(const Double_t *x, const Double_t *par) |
55a288e5 | 6002 | { |
6003 | // | |
6004 | // Function for the fit | |
6005 | // | |
6006 | // Fit parameters: | |
6007 | // par[0]=Width (scale) parameter of Landau density | |
6008 | // par[1]=Most Probable (MP, location) parameter of Landau density | |
6009 | // par[2]=Total area (integral -inf to inf, normalization constant) | |
6010 | // par[3]=Width (sigma) of convoluted Gaussian function | |
6011 | // | |
6012 | // In the Landau distribution (represented by the CERNLIB approximation), | |
6013 | // the maximum is located at x=-0.22278298 with the location parameter=0. | |
6014 | // This shift is corrected within this function, so that the actual | |
6015 | // maximum is identical to the MP parameter. | |
6016 | // | |
6017 | ||
6018 | // Numeric constants | |
6019 | Double_t invsq2pi = 0.3989422804014; // (2 pi)^(-1/2) | |
6020 | Double_t mpshift = -0.22278298; // Landau maximum location | |
6021 | ||
6022 | // Control constants | |
6023 | Double_t np = 100.0; // Number of convolution steps | |
6024 | Double_t sc = 5.0; // Convolution extends to +-sc Gaussian sigmas | |
6025 | ||
6026 | // Variables | |
6027 | Double_t xx; | |
6028 | Double_t mpc; | |
6029 | Double_t fland; | |
6030 | Double_t sum = 0.0; | |
6031 | Double_t xlow; | |
6032 | Double_t xupp; | |
6033 | Double_t step; | |
6034 | Double_t i; | |
6035 | ||
6036 | // MP shift correction | |
6037 | mpc = par[1] - mpshift * par[0]; | |
6038 | ||
6039 | // Range of convolution integral | |
6040 | xlow = x[0] - sc * par[3]; | |
6041 | xupp = x[0] + sc * par[3]; | |
6042 | ||
6043 | step = (xupp - xlow) / np; | |
6044 | ||
6045 | // Convolution integral of Landau and Gaussian by sum | |
6046 | for (i = 1.0; i <= np/2; i++) { | |
6047 | ||
6048 | xx = xlow + (i-.5) * step; | |
6049 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
6050 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
6051 | ||
6052 | xx = xupp - (i-.5) * step; | |
6053 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
6054 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
6055 | ||
6056 | } | |
6057 | ||
6058 | return (par[2] * step * sum * invsq2pi / par[3]); | |
6059 | ||
6060 | } | |
55a288e5 | 6061 | //_____________________________________________________________________________ |
979b168f | 6062 | TF1 *AliTRDCalibraFit::LanGauFit(TH1 *his, const Double_t *fitrange, const Double_t *startvalues |
6063 | , const Double_t *parlimitslo, const Double_t *parlimitshi | |
55a288e5 | 6064 | , Double_t *fitparams, Double_t *fiterrors |
e6381f8e | 6065 | , Double_t *chiSqr, Int_t *ndf) const |
55a288e5 | 6066 | { |
6067 | // | |
6068 | // Function for the fit | |
6069 | // | |
6070 | ||
6071 | Int_t i; | |
6072 | Char_t funname[100]; | |
6073 | ||
6074 | TF1 *ffitold = (TF1 *) gROOT->GetListOfFunctions()->FindObject(funname); | |
6075 | if (ffitold) { | |
6076 | delete ffitold; | |
6077 | } | |
6078 | ||
6079 | TF1 *ffit = new TF1(funname,LanGauFun,fitrange[0],fitrange[1],4); | |
6080 | ffit->SetParameters(startvalues); | |
6081 | ffit->SetParNames("Width","MP","Area","GSigma"); | |
6082 | ||
6083 | for (i = 0; i < 4; i++) { | |
6084 | ffit->SetParLimits(i,parlimitslo[i],parlimitshi[i]); | |
6085 | } | |
6086 | ||
6087 | his->Fit(funname,"RB0"); // Fit within specified range, use ParLimits, do not plot | |
6088 | ||
6089 | ffit->GetParameters(fitparams); // Obtain fit parameters | |
6090 | for (i = 0; i < 4; i++) { | |
6091 | fiterrors[i] = ffit->GetParError(i); // Obtain fit parameter errors | |
6092 | } | |
6093 | chiSqr[0] = ffit->GetChisquare(); // Obtain chi^2 | |
6094 | ndf[0] = ffit->GetNDF(); // Obtain ndf | |
6095 | ||
6096 | return (ffit); // Return fit function | |
6097 | ||
6098 | } | |
6099 | ||
6100 | //_____________________________________________________________________________ | |
979b168f | 6101 | Int_t AliTRDCalibraFit::LanGauPro(const Double_t *params, Double_t &maxx, Double_t &fwhm) |
55a288e5 | 6102 | { |
6103 | // | |
6104 | // Function for the fit | |
6105 | // | |
6106 | ||
6107 | Double_t p; | |
6108 | Double_t x; | |
6109 | Double_t fy; | |
6110 | Double_t fxr; | |
6111 | Double_t fxl; | |
6112 | Double_t step; | |
6113 | Double_t l; | |
6114 | Double_t lold; | |
6115 | ||
6116 | Int_t i = 0; | |
6117 | Int_t maxcalls = 10000; | |
6118 | ||
6119 | // Search for maximum | |
6120 | p = params[1] - 0.1 * params[0]; | |
6121 | step = 0.05 * params[0]; | |
6122 | lold = -2.0; | |
6123 | l = -1.0; | |
6124 | ||
6125 | while ((l != lold) && (i < maxcalls)) { | |
6126 | i++; | |
6127 | lold = l; | |
6128 | x = p + step; | |
6129 | l = LanGauFun(&x,params); | |
6130 | if (l < lold) { | |
6131 | step = -step / 10.0; | |
6132 | } | |
6133 | p += step; | |
6134 | } | |
6135 | ||
6136 | if (i == maxcalls) { | |
6137 | return (-1); | |
6138 | } | |
6139 | maxx = x; | |
6140 | fy = l / 2.0; | |
6141 | ||
6142 | // Search for right x location of fy | |
6143 | p = maxx + params[0]; | |
6144 | step = params[0]; | |
6145 | lold = -2.0; | |
6146 | l = -1e300; | |
6147 | i = 0; | |
6148 | ||
6149 | while ( (l != lold) && (i < maxcalls) ) { | |
6150 | i++; | |
6151 | ||
6152 | lold = l; | |
6153 | x = p + step; | |
6154 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
6155 | ||
6156 | if (l > lold) | |
6157 | step = -step/10; | |
6158 | ||
6159 | p += step; | |
6160 | } | |
6161 | ||
6162 | if (i == maxcalls) | |
6163 | return (-2); | |
6164 | ||
6165 | fxr = x; | |
6166 | ||
3a0f6479 | 6167 | |
55a288e5 | 6168 | // Search for left x location of fy |
6169 | ||
6170 | p = maxx - 0.5 * params[0]; | |
6171 | step = -params[0]; | |
6172 | lold = -2.0; | |
6173 | l = -1.0e300; | |
6174 | i = 0; | |
6175 | ||
6176 | while ((l != lold) && (i < maxcalls)) { | |
6177 | i++; | |
6178 | lold = l; | |
6179 | x = p + step; | |
6180 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
6181 | if (l > lold) { | |
6182 | step = -step / 10.0; | |
6183 | } | |
6184 | p += step; | |
6185 | } | |
6186 | ||
6187 | if (i == maxcalls) { | |
6188 | return (-3); | |
6189 | } | |
6190 | ||
6191 | fxl = x; | |
6192 | fwhm = fxr - fxl; | |
6193 | ||
6194 | return (0); | |
55a288e5 | 6195 | } |
55a288e5 | 6196 | //_____________________________________________________________________________ |
979b168f | 6197 | Double_t AliTRDCalibraFit::GausConstant(const Double_t *x, const Double_t *par) |
55a288e5 | 6198 | { |
6199 | // | |
6200 | // Gaus with identical mean | |
6201 | // | |
6202 | ||
e6381f8e | 6203 | Double_t gauss = par[0] * TMath::Gaus(x[0],0.0,par[1])+par[2]; |
55a288e5 | 6204 | |
e6381f8e | 6205 | return gauss; |
55a288e5 | 6206 | |
ef19f1da | 6207 | } |
4c865c34 | 6208 | |
3b0c1edc | 6209 | |
6210 |